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Menschen tun alles, egal wie absurd, \ um ihrer eigenen Seele nicht zu begegnen. \ Carl Gustav Jung

«Extremer Reichtum ist eine Gefahr für die Demokratie», sagen über die Hälfte der knapp 3000 befragten Millionäre aus G20-Staaten laut einer Umfrage der «Patriotic Millionaires». Ferner stellte dieser Zusammenschluss wohlhabender US-Amerikaner fest, dass 63 Prozent jener Millionäre den Einfluss von Superreichen auf US-Präsident Trump als Bedrohung für die globale Stabilität ansehen.

Diese Besorgnis haben 370 Millionäre und Milliardäre am Dienstag auch den in Davos beim WEF konzentrierten Privilegierten aus aller Welt übermittelt. In einem offenen Brief forderten sie die «gewählten Führer» auf, die Superreichen – also sie selbst – zu besteuern, um «die zersetzenden Auswirkungen des extremen Reichtums auf unsere Demokratien und die Gesellschaft zu bekämpfen». Zum Beispiel kontrolliere eine handvoll extrem reicher Menschen die Medien, beeinflusse die Rechtssysteme in unzulässiger Weise und verwandele Recht in Unrecht.

Schon 2019 beanstandete der bekannte Historiker und Schriftsteller Ruthger Bregman an einer WEF-Podiumsdiskussion die Steuervermeidung der Superreichen. Die elitäre Veranstaltung bezeichnete er als «Feuerwehr-Konferenz, bei der man nicht über Löschwasser sprechen darf.» Daraufhin erhielt Bregman keine Einladungen nach Davos mehr. Auf seine Aussagen machte der Schweizer Aktivist Alec Gagneux aufmerksam, der sich seit Jahrzehnten kritisch mit dem WEF befasst. Ihm wurde kürzlich der Zutritt zu einem dreiteiligen Kurs über das WEF an der Volkshochschule Region Brugg verwehrt.

Nun ist die Erkenntnis, dass mit Geld politischer Einfluss einhergeht, alles andere als neu. Und extremer Reichtum macht die Sache nicht wirklich besser. Trotzdem hat man über Initiativen wie Patriotic Millionaires oder Taxmenow bisher eher selten etwas gehört, obwohl es sie schon lange gibt. Auch scheint es kein Problem, wenn ein Herr Gates fast im Alleingang versucht, globale Gesundheits-, Klima-, Ernährungs- oder Bevölkerungspolitik zu betreiben – im Gegenteil. Im Jahr, als der Milliardär Donald Trump zum zweiten Mal ins Weiße Haus einzieht, ist das Echo in den Gesinnungsmedien dagegen enorm – und uniform, wer hätte das gedacht.

Der neue US-Präsident hat jedoch «Davos geerdet», wie Achgut es nannte. In seiner kurzen Rede beim Weltwirtschaftsforum verteidigte er seine Politik und stellte klar, er habe schlicht eine «Revolution des gesunden Menschenverstands» begonnen. Mit deutlichen Worten sprach er unter anderem von ersten Maßnahmen gegen den «Green New Scam», und von einem «Erlass, der jegliche staatliche Zensur beendet»:

«Unsere Regierung wird die Äußerungen unserer eigenen Bürger nicht mehr als Fehlinformation oder Desinformation bezeichnen, was die Lieblingswörter von Zensoren und derer sind, die den freien Austausch von Ideen und, offen gesagt, den Fortschritt verhindern wollen.»

Wie der «Trumpismus» letztlich einzuordnen ist, muss jeder für sich selbst entscheiden. Skepsis ist definitiv angebracht, denn «einer von uns» sind weder der Präsident noch seine auserwählten Teammitglieder. Ob sie irgendeinen Sumpf trockenlegen oder Staatsverbrechen aufdecken werden oder was aus WHO- und Klimaverträgen wird, bleibt abzuwarten.

Das WHO-Dekret fordert jedenfalls die Übertragung der Gelder auf «glaubwürdige Partner», die die Aktivitäten übernehmen könnten. Zufällig scheint mit «Impfguru» Bill Gates ein weiterer Harris-Unterstützer kürzlich das Lager gewechselt zu haben: Nach einem gemeinsamen Abendessen zeigte er sich «beeindruckt» von Trumps Interesse an der globalen Gesundheit.

Mit dem Projekt «Stargate» sind weitere dunkle Wolken am Erwartungshorizont der Fangemeinde aufgezogen. Trump hat dieses Joint Venture zwischen den Konzernen OpenAI, Oracle, und SoftBank als das «größte KI-Infrastrukturprojekt der Geschichte» angekündigt. Der Stein des Anstoßes: Oracle-CEO Larry Ellison, der auch Fan von KI-gestützter Echtzeit-Überwachung ist, sieht einen weiteren potenziellen Einsatz der künstlichen Intelligenz. Sie könne dazu dienen, Krebserkrankungen zu erkennen und individuelle mRNA-«Impfstoffe» zur Behandlung innerhalb von 48 Stunden zu entwickeln.

Warum bitte sollten sich diese superreichen «Eliten» ins eigene Fleisch schneiden und direkt entgegen ihren eigenen Interessen handeln? Weil sie Menschenfreunde, sogenannte Philanthropen sind? Oder vielleicht, weil sie ein schlechtes Gewissen haben und ihre Schuld kompensieren müssen? Deswegen jedenfalls brauchen «Linke» laut Robert Willacker, einem deutschen Politikberater mit brasilianischen Wurzeln, rechte Parteien – ein ebenso überraschender wie humorvoller Erklärungsansatz.

Wenn eine Krähe der anderen kein Auge aushackt, dann tut sie das sich selbst noch weniger an. Dass Millionäre ernsthaft ihre eigene Besteuerung fordern oder Machteliten ihren eigenen Einfluss zugunsten anderer einschränken würden, halte ich für sehr unwahrscheinlich. So etwas glaube ich erst, wenn zum Beispiel die Rüstungsindustrie sich um Friedensverhandlungen bemüht, die Pharmalobby sich gegen institutionalisierte Korruption einsetzt, Zentralbanken ihre CBDC-Pläne für Bitcoin opfern oder der ÖRR die Abschaffung der Rundfunkgebühren fordert.

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Dieser Beitrag ist zuerst auf Transition News erschienen.

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Bitcoin: Um sistema de dinheiro eletrônico direto entre pessoas.

Satoshi Nakamoto
satoshin@gmx.com
www.bitcoin.org

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Resumo

O Bitcoin é uma forma de dinheiro digital que permite pagamentos diretos entre pessoas, sem a necessidade de um banco ou instituição financeira. Ele resolve um problema chamado gasto duplo, que ocorre quando alguém tenta gastar o mesmo dinheiro duas vezes. Para evitar isso, o Bitcoin usa uma rede descentralizada onde todos trabalham juntos para verificar e registrar as transações.

As transações são registradas em um livro público chamado blockchain, protegido por uma técnica chamada Prova de Trabalho. Essa técnica cria uma cadeia de registros que não pode ser alterada sem refazer todo o trabalho já feito. Essa cadeia é mantida pelos computadores que participam da rede, e a mais longa é considerada a verdadeira.

Enquanto a maior parte do poder computacional da rede for controlada por participantes honestos, o sistema continuará funcionando de forma segura. A rede é flexível, permitindo que qualquer pessoa entre ou saia a qualquer momento, sempre confiando na cadeia mais longa como prova do que aconteceu.

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1. Introdução

Hoje, quase todos os pagamentos feitos pela internet dependem de bancos ou empresas como processadores de pagamento (cartões de crédito, por exemplo) para funcionar. Embora esse sistema seja útil, ele tem problemas importantes porque é baseado em confiança.

Primeiro, essas empresas podem reverter pagamentos, o que é útil em caso de erros, mas cria custos e incertezas. Isso faz com que pequenas transações, como pagar centavos por um serviço, se tornem inviáveis. Além disso, os comerciantes são obrigados a desconfiar dos clientes, pedindo informações extras e aceitando fraudes como algo inevitável.

Esses problemas não existem no dinheiro físico, como o papel-moeda, onde o pagamento é final e direto entre as partes. No entanto, não temos como enviar dinheiro físico pela internet sem depender de um intermediário confiável.

O que precisamos é de um sistema de pagamento eletrônico baseado em provas matemáticas, não em confiança. Esse sistema permitiria que qualquer pessoa enviasse dinheiro diretamente para outra, sem depender de bancos ou processadores de pagamento. Além disso, as transações seriam irreversíveis, protegendo vendedores contra fraudes, mas mantendo a possibilidade de soluções para disputas legítimas.

Neste documento, apresentamos o Bitcoin, que resolve o problema do gasto duplo usando uma rede descentralizada. Essa rede cria um registro público e protegido por cálculos matemáticos, que garante a ordem das transações. Enquanto a maior parte da rede for controlada por pessoas honestas, o sistema será seguro contra ataques.

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2. Transações

Para entender como funciona o Bitcoin, é importante saber como as transações são realizadas. Imagine que você quer transferir uma "moeda digital" para outra pessoa. No sistema do Bitcoin, essa "moeda" é representada por uma sequência de registros que mostram quem é o atual dono. Para transferi-la, você adiciona um novo registro comprovando que agora ela pertence ao próximo dono. Esse registro é protegido por um tipo especial de assinatura digital.

O que é uma assinatura digital?

Uma assinatura digital é como uma senha secreta, mas muito mais segura. No Bitcoin, cada usuário tem duas chaves: uma "chave privada", que é secreta e serve para criar a assinatura, e uma "chave pública", que pode ser compartilhada com todos e é usada para verificar se a assinatura é válida. Quando você transfere uma moeda, usa sua chave privada para assinar a transação, provando que você é o dono. A próxima pessoa pode usar sua chave pública para confirmar isso.

Como funciona na prática?

Cada "moeda" no Bitcoin é, na verdade, uma cadeia de assinaturas digitais. Vamos imaginar o seguinte cenário:

1. A moeda está com o Dono 0 (você). Para transferi-la ao Dono 1, você assina digitalmente a transação com sua chave privada. Essa assinatura inclui o código da transação anterior (chamado de "hash") e a chave pública do Dono 1.
2. Quando o Dono 1 quiser transferir a moeda ao Dono 2, ele assinará a transação seguinte com sua própria chave privada, incluindo também o hash da transação anterior e a chave pública do Dono 2.
3. Esse processo continua, formando uma "cadeia" de transações. Qualquer pessoa pode verificar essa cadeia para confirmar quem é o atual dono da moeda.

Resolvendo o problema do gasto duplo

Um grande desafio com moedas digitais é o "gasto duplo", que é quando uma mesma moeda é usada em mais de uma transação. Para evitar isso, muitos sistemas antigos dependiam de uma entidade central confiável, como uma casa da moeda, que verificava todas as transações. No entanto, isso criava um ponto único de falha e centralizava o controle do dinheiro.

O Bitcoin resolve esse problema de forma inovadora: ele usa uma rede descentralizada onde todos os participantes (os "nós") têm acesso a um registro completo de todas as transações. Cada nó verifica se as transações são válidas e se a moeda não foi gasta duas vezes. Quando a maioria dos nós concorda com a validade de uma transação, ela é registrada permanentemente na blockchain.

Por que isso é importante?

Essa solução elimina a necessidade de confiar em uma única entidade para gerenciar o dinheiro, permitindo que qualquer pessoa no mundo use o Bitcoin sem precisar de permissão de terceiros. Além disso, ela garante que o sistema seja seguro e resistente a fraudes.

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3. Servidor Timestamp

Para assegurar que as transações sejam realizadas de forma segura e transparente, o sistema Bitcoin utiliza algo chamado de "servidor de registro de tempo" (timestamp). Esse servidor funciona como um registro público que organiza as transações em uma ordem específica.

Ele faz isso agrupando várias transações em blocos e criando um código único chamado "hash". Esse hash é como uma impressão digital que representa todo o conteúdo do bloco. O hash de cada bloco é amplamente divulgado, como se fosse publicado em um jornal ou em um fórum público.

Esse processo garante que cada bloco de transações tenha um registro de quando foi criado e que ele existia naquele momento. Além disso, cada novo bloco criado contém o hash do bloco anterior, formando uma cadeia contínua de blocos conectados — conhecida como blockchain.

Com isso, se alguém tentar alterar qualquer informação em um bloco anterior, o hash desse bloco mudará e não corresponderá ao hash armazenado no bloco seguinte. Essa característica torna a cadeia muito segura, pois qualquer tentativa de fraude seria imediatamente detectada.

O sistema de timestamps é essencial para provar a ordem cronológica das transações e garantir que cada uma delas seja única e autêntica. Dessa forma, ele reforça a segurança e a confiança na rede Bitcoin.

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4. Prova-de-Trabalho

Para implementar o registro de tempo distribuído no sistema Bitcoin, utilizamos um mecanismo chamado prova-de-trabalho. Esse sistema é semelhante ao Hashcash, desenvolvido por Adam Back, e baseia-se na criação de um código único, o "hash", por meio de um processo computacionalmente exigente.

A prova-de-trabalho envolve encontrar um valor especial que, quando processado junto com as informações do bloco, gere um hash que comece com uma quantidade específica de zeros. Esse valor especial é chamado de "nonce". Encontrar o nonce correto exige um esforço significativo do computador, porque envolve tentativas repetidas até que a condição seja satisfeita.

Esse processo é importante porque torna extremamente difícil alterar qualquer informação registrada em um bloco. Se alguém tentar mudar algo em um bloco, seria necessário refazer o trabalho de computação não apenas para aquele bloco, mas também para todos os blocos que vêm depois dele. Isso garante a segurança e a imutabilidade da blockchain.

A prova-de-trabalho também resolve o problema de decidir qual cadeia de blocos é a válida quando há múltiplas cadeias competindo. A decisão é feita pela cadeia mais longa, pois ela representa o maior esforço computacional já realizado. Isso impede que qualquer indivíduo ou grupo controle a rede, desde que a maioria do poder de processamento seja mantida por participantes honestos.

Para garantir que o sistema permaneça eficiente e equilibrado, a dificuldade da prova-de-trabalho é ajustada automaticamente ao longo do tempo. Se novos blocos estiverem sendo gerados rapidamente, a dificuldade aumenta; se estiverem sendo gerados muito lentamente, a dificuldade diminui. Esse ajuste assegura que novos blocos sejam criados aproximadamente a cada 10 minutos, mantendo o sistema estável e funcional.

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5. Rede

A rede Bitcoin é o coração do sistema e funciona de maneira distribuída, conectando vários participantes (ou nós) para garantir o registro e a validação das transações. Os passos para operar essa rede são:

1. Transmissão de Transações: Quando alguém realiza uma nova transação, ela é enviada para todos os nós da rede. Isso é feito para garantir que todos estejam cientes da operação e possam validá-la.

2. Coleta de Transações em Blocos: Cada nó agrupa as novas transações recebidas em um "bloco". Este bloco será preparado para ser adicionado à cadeia de blocos (a blockchain).

3. Prova-de-Trabalho: Os nós competem para resolver a prova-de-trabalho do bloco, utilizando poder computacional para encontrar um hash válido. Esse processo é como resolver um quebra-cabeça matemático difícil.

4. Envio do Bloco Resolvido: Quando um nó encontra a solução para o bloco (a prova-de-trabalho), ele compartilha esse bloco com todos os outros nós na rede.

5. Validação do Bloco: Cada nó verifica o bloco recebido para garantir que todas as transações nele contidas sejam válidas e que nenhuma moeda tenha sido gasta duas vezes. Apenas blocos válidos são aceitos.

6. Construção do Próximo Bloco: Os nós que aceitaram o bloco começam a trabalhar na criação do próximo bloco, utilizando o hash do bloco aceito como base (hash anterior). Isso mantém a continuidade da cadeia.

Resolução de Conflitos e Escolha da Cadeia Mais Longa

Os nós sempre priorizam a cadeia mais longa, pois ela representa o maior esforço computacional já realizado, garantindo maior segurança. Se dois blocos diferentes forem compartilhados simultaneamente, os nós trabalharão no primeiro bloco recebido, mas guardarão o outro como uma alternativa. Caso o segundo bloco eventualmente forme uma cadeia mais longa (ou seja, tenha mais blocos subsequentes), os nós mudarão para essa nova cadeia.

Tolerância a Falhas

A rede é robusta e pode lidar com mensagens que não chegam a todos os nós. Uma transação não precisa alcançar todos os nós de imediato; basta que chegue a um número suficiente deles para ser incluída em um bloco. Da mesma forma, se um nó não receber um bloco em tempo hábil, ele pode solicitá-lo ao perceber que está faltando quando o próximo bloco é recebido.

Esse mecanismo descentralizado permite que a rede Bitcoin funcione de maneira segura, confiável e resiliente, sem depender de uma autoridade central.

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6. Incentivo

O incentivo é um dos pilares fundamentais que sustenta o funcionamento da rede Bitcoin, garantindo que os participantes (nós) continuem operando de forma honesta e contribuindo com recursos computacionais. Ele é estruturado em duas partes principais: a recompensa por mineração e as taxas de transação.

Recompensa por Mineração

Por convenção, o primeiro registro em cada bloco é uma transação especial que cria novas moedas e as atribui ao criador do bloco. Essa recompensa incentiva os mineradores a dedicarem poder computacional para apoiar a rede. Como não há uma autoridade central para emitir moedas, essa é a maneira pela qual novas moedas entram em circulação. Esse processo pode ser comparado ao trabalho de garimpeiros, que utilizam recursos para colocar mais ouro em circulação. No caso do Bitcoin, o "recurso" consiste no tempo de CPU e na energia elétrica consumida para resolver a prova-de-trabalho.

Taxas de Transação

Além da recompensa por mineração, os mineradores também podem ser incentivados pelas taxas de transação. Se uma transação utiliza menos valor de saída do que o valor de entrada, a diferença é tratada como uma taxa, que é adicionada à recompensa do bloco contendo essa transação. Com o passar do tempo e à medida que o número de moedas em circulação atinge o limite predeterminado, essas taxas de transação se tornam a principal fonte de incentivo, substituindo gradualmente a emissão de novas moedas. Isso permite que o sistema opere sem inflação, uma vez que o número total de moedas permanece fixo.

Incentivo à Honestidade

O design do incentivo também busca garantir que os participantes da rede mantenham um comportamento honesto. Para um atacante que consiga reunir mais poder computacional do que o restante da rede, ele enfrentaria duas escolhas:

1. Usar esse poder para fraudar o sistema, como reverter transações e roubar pagamentos.
2. Seguir as regras do sistema, criando novos blocos e recebendo recompensas legítimas.

A lógica econômica favorece a segunda opção, pois um comportamento desonesto prejudicaria a confiança no sistema, diminuindo o valor de todas as moedas, incluindo aquelas que o próprio atacante possui. Jogar dentro das regras não apenas maximiza o retorno financeiro, mas também preserva a validade e a integridade do sistema.

Esse mecanismo garante que os incentivos econômicos estejam alinhados com o objetivo de manter a rede segura, descentralizada e funcional ao longo do tempo.

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7. Recuperação do Espaço em Disco

Depois que uma moeda passa a estar protegida por muitos blocos na cadeia, as informações sobre as transações antigas que a geraram podem ser descartadas para economizar espaço em disco. Para que isso seja possível sem comprometer a segurança, as transações são organizadas em uma estrutura chamada "árvore de Merkle". Essa árvore funciona como um resumo das transações: em vez de armazenar todas elas, guarda apenas um "hash raiz", que é como uma assinatura compacta que representa todo o grupo de transações.

Os blocos antigos podem, então, ser simplificados, removendo as partes desnecessárias dessa árvore. Apenas a raiz do hash precisa ser mantida no cabeçalho do bloco, garantindo que a integridade dos dados seja preservada, mesmo que detalhes específicos sejam descartados.

Para exemplificar: imagine que você tenha vários recibos de compra. Em vez de guardar todos os recibos, você cria um documento e lista apenas o valor total de cada um. Mesmo que os recibos originais sejam descartados, ainda é possível verificar a soma com base nos valores armazenados.

Além disso, o espaço ocupado pelos blocos em si é muito pequeno. Cada bloco sem transações ocupa apenas cerca de 80 bytes. Isso significa que, mesmo com blocos sendo gerados a cada 10 minutos, o crescimento anual em espaço necessário é insignificante: apenas 4,2 MB por ano. Com a capacidade de armazenamento dos computadores crescendo a cada ano, esse espaço continuará sendo trivial, garantindo que a rede possa operar de forma eficiente sem problemas de armazenamento, mesmo a longo prazo.

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8. Verificação de Pagamento Simplificada

É possível confirmar pagamentos sem a necessidade de operar um nó completo da rede. Para isso, o usuário precisa apenas de uma cópia dos cabeçalhos dos blocos da cadeia mais longa (ou seja, a cadeia com maior esforço de trabalho acumulado). Ele pode verificar a validade de uma transação ao consultar os nós da rede até obter a confirmação de que tem a cadeia mais longa. Para isso, utiliza-se o ramo Merkle, que conecta a transação ao bloco em que ela foi registrada.

Entretanto, o método simplificado possui limitações: ele não pode confirmar uma transação isoladamente, mas sim assegurar que ela ocupa um lugar específico na cadeia mais longa. Dessa forma, se um nó da rede aprova a transação, os blocos subsequentes reforçam essa aceitação.

A verificação simplificada é confiável enquanto a maioria dos nós da rede for honesta. Contudo, ela se torna vulnerável caso a rede seja dominada por um invasor. Nesse cenário, um atacante poderia fabricar transações fraudulentas que enganariam o usuário temporariamente até que o invasor obtivesse controle completo da rede.

Uma estratégia para mitigar esse risco é configurar alertas nos softwares de nós completos. Esses alertas identificam blocos inválidos, sugerindo ao usuário baixar o bloco completo para confirmar qualquer inconsistência. Para maior segurança, empresas que realizam pagamentos frequentes podem preferir operar seus próprios nós, reduzindo riscos e permitindo uma verificação mais direta e confiável.

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9. Combinando e Dividindo Valor

No sistema Bitcoin, cada unidade de valor é tratada como uma "moeda" individual, mas gerenciar cada centavo como uma transação separada seria impraticável. Para resolver isso, o Bitcoin permite que valores sejam combinados ou divididos em transações, facilitando pagamentos de qualquer valor.

Entradas e Saídas

Cada transação no Bitcoin é composta por:

• Entradas: Representam os valores recebidos em transações anteriores.
• Saídas: Correspondem aos valores enviados, divididos entre os destinatários e, eventualmente, o troco para o remetente.

Normalmente, uma transação contém:

• Uma única entrada com valor suficiente para cobrir o pagamento.
• Ou várias entradas combinadas para atingir o valor necessário.

O valor total das saídas nunca excede o das entradas, e a diferença (se houver) pode ser retornada ao remetente como troco.

Exemplo Prático

Imagine que você tem duas entradas:

1. 0,03 BTC
2. 0,07 BTC

Se deseja enviar 0,08 BTC para alguém, a transação terá:

• Entrada: As duas entradas combinadas (0,03 + 0,07 BTC = 0,10 BTC).
• Saídas: Uma para o destinatário (0,08 BTC) e outra como troco para você (0,02 BTC).

Essa flexibilidade permite que o sistema funcione sem precisar manipular cada unidade mínima individualmente.

Difusão e Simplificação

A difusão de transações, onde uma depende de várias anteriores e assim por diante, não representa um problema. Não é necessário armazenar ou verificar o histórico completo de uma transação para utilizá-la, já que o registro na blockchain garante sua integridade.

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10. Privacidade

O modelo bancário tradicional oferece um certo nível de privacidade, limitando o acesso às informações financeiras apenas às partes envolvidas e a um terceiro confiável (como bancos ou instituições financeiras). No entanto, o Bitcoin opera de forma diferente, pois todas as transações são publicamente registradas na blockchain. Apesar disso, a privacidade pode ser mantida utilizando chaves públicas anônimas, que desvinculam diretamente as transações das identidades das partes envolvidas.

Fluxo de Informação

• No modelo tradicional, as transações passam por um terceiro confiável que conhece tanto o remetente quanto o destinatário.
• No Bitcoin, as transações são anunciadas publicamente, mas sem revelar diretamente as identidades das partes. Isso é comparável a dados divulgados por bolsas de valores, onde informações como o tempo e o tamanho das negociações (a "fita") são públicas, mas as identidades das partes não.

Protegendo a Privacidade

Para aumentar a privacidade no Bitcoin, são adotadas as seguintes práticas:

1. Chaves Públicas Anônimas: Cada transação utiliza um par de chaves diferentes, dificultando a associação com um proprietário único.
2. Prevenção de Ligação: Ao usar chaves novas para cada transação, reduz-se a possibilidade de links evidentes entre múltiplas transações realizadas pelo mesmo usuário.

Riscos de Ligação

Embora a privacidade seja fortalecida, alguns riscos permanecem:

• Transações multi-entrada podem revelar que todas as entradas pertencem ao mesmo proprietário, caso sejam necessárias para somar o valor total.
• O proprietário da chave pode ser identificado indiretamente por transações anteriores que estejam conectadas.

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11. Cálculos

Imagine que temos um sistema onde as pessoas (ou computadores) competem para adicionar informações novas (blocos) a um grande registro público (a cadeia de blocos ou blockchain). Este registro é como um livro contábil compartilhado, onde todos podem verificar o que está escrito.

Agora, vamos pensar em um cenário: um atacante quer enganar o sistema. Ele quer mudar informações já registradas para beneficiar a si mesmo, por exemplo, desfazendo um pagamento que já fez. Para isso, ele precisa criar uma versão alternativa do livro contábil (a cadeia de blocos dele) e convencer todos os outros participantes de que essa versão é a verdadeira.

Mas isso é extremamente difícil.

Como o Ataque Funciona

Quando um novo bloco é adicionado à cadeia, ele depende de cálculos complexos que levam tempo e esforço. Esses cálculos são como um grande quebra-cabeça que precisa ser resolvido.

• Os “bons jogadores” (nós honestos) estão sempre trabalhando juntos para resolver esses quebra-cabeças e adicionar novos blocos à cadeia verdadeira.
• O atacante, por outro lado, precisa resolver quebra-cabeças sozinho, tentando “alcançar” a cadeia honesta para que sua versão alternativa pareça válida.

Se a cadeia honesta já está vários blocos à frente, o atacante começa em desvantagem, e o sistema está projetado para que a dificuldade de alcançá-los aumente rapidamente.

A Corrida Entre Cadeias

Você pode imaginar isso como uma corrida. A cada bloco novo que os jogadores honestos adicionam à cadeia verdadeira, eles se distanciam mais do atacante. Para vencer, o atacante teria que resolver os quebra-cabeças mais rápido que todos os outros jogadores honestos juntos.

Suponha que:

• A rede honesta tem 80% do poder computacional (ou seja, resolve 8 de cada 10 quebra-cabeças).
• O atacante tem 20% do poder computacional (ou seja, resolve 2 de cada 10 quebra-cabeças).

Cada vez que a rede honesta adiciona um bloco, o atacante tem que "correr atrás" e resolver mais quebra-cabeças para alcançar.

Por Que o Ataque Fica Cada Vez Mais Improvável?

Vamos usar uma fórmula simples para mostrar como as chances de sucesso do atacante diminuem conforme ele precisa "alcançar" mais blocos:

P = (q/p)^z

• q é o poder computacional do atacante (20%, ou 0,2).
• p é o poder computacional da rede honesta (80%, ou 0,8).
• z é a diferença de blocos entre a cadeia honesta e a cadeia do atacante.

Se o atacante está 5 blocos atrás (z = 5):

P = (0,2 / 0,8)^5 = (0,25)^5 = 0,00098, (ou, 0,098%)

Isso significa que o atacante tem menos de 0,1% de chance de sucesso — ou seja, é muito improvável.

Se ele estiver 10 blocos atrás (z = 10):

P = (0,2 / 0,8)^10 = (0,25)^10 = 0,000000095, (ou, 0,0000095%).

Neste caso, as chances de sucesso são praticamente nulas.

Um Exemplo Simples

Se você jogar uma moeda, a chance de cair “cara” é de 50%. Mas se precisar de 10 caras seguidas, sua chance já é bem menor. Se precisar de 20 caras seguidas, é quase impossível.

No caso do Bitcoin, o atacante precisa de muito mais do que 20 caras seguidas. Ele precisa resolver quebra-cabeças extremamente difíceis e alcançar os jogadores honestos que estão sempre à frente. Isso faz com que o ataque seja inviável na prática.

Por Que Tudo Isso é Seguro?

• A probabilidade de sucesso do atacante diminui exponencialmente. Isso significa que, quanto mais tempo passa, menor é a chance de ele conseguir enganar o sistema.
• A cadeia verdadeira (honesta) está protegida pela força da rede. Cada novo bloco que os jogadores honestos adicionam à cadeia torna mais difícil para o atacante alcançar.

E Se o Atacante Tentar Continuar?

O atacante poderia continuar tentando indefinidamente, mas ele estaria gastando muito tempo e energia sem conseguir nada. Enquanto isso, os jogadores honestos estão sempre adicionando novos blocos, tornando o trabalho do atacante ainda mais inútil.

Assim, o sistema garante que a cadeia verdadeira seja extremamente segura e que ataques sejam, na prática, impossíveis de ter sucesso.

---

12. Conclusão

Propusemos um sistema de transações eletrônicas que elimina a necessidade de confiança, baseando-se em assinaturas digitais e em uma rede peer-to-peer que utiliza prova de trabalho. Isso resolve o problema do gasto duplo, criando um histórico público de transações imutável, desde que a maioria do poder computacional permaneça sob controle dos participantes honestos. A rede funciona de forma simples e descentralizada, com nós independentes que não precisam de identificação ou coordenação direta. Eles entram e saem livremente, aceitando a cadeia de prova de trabalho como registro do que ocorreu durante sua ausência. As decisões são tomadas por meio do poder de CPU, validando blocos legítimos, estendendo a cadeia e rejeitando os inválidos. Com este mecanismo de consenso, todas as regras e incentivos necessários para o funcionamento seguro e eficiente do sistema são garantidos.

---

Faça o download do whitepaper original em português: https://bitcoin.org/files/bitcoin-paper/bitcoin_pt_br.pdf

@ 9e69e420:d12360c2

Oregano oil is a potent natural compound that offers numerous scientifically-supported health benefits.

Active Compounds

The oil's therapeutic properties stem from its key bioactive components: - Carvacrol and thymol (primary active compounds) - Polyphenols and other antioxidant

Antimicrobial Properties

Bacterial Protection The oil demonstrates powerful antibacterial effects, even against antibiotic-resistant strains like MRSA and other harmful bacteria. Studies show it effectively inactivates various pathogenic bacteria without developing resistance.

Antifungal Effects It effectively combats fungal infections, particularly Candida-related conditions like oral thrush, athlete's foot, and nail infections.

Digestive Health Benefits

Oregano oil supports digestive wellness by: - Promoting gastric juice secretion and enzyme production - Helping treat Small Intestinal Bacterial Overgrowth (SIBO) - Managing digestive discomfort, bloating, and IBS symptoms

Anti-inflammatory and Antioxidant Effects

The oil provides significant protective benefits through: - Powerful antioxidant activity that fights free radicals - Reduction of inflammatory markers in the body - Protection against oxidative stress-related conditions

Respiratory Support

It aids respiratory health by: - Loosening mucus and phlegm - Suppressing coughs and throat irritation - Supporting overall respiratory tract function

Additional Benefits

Skin Health - Improves conditions like psoriasis, acne, and eczema - Supports wound healing through antibacterial action - Provides anti-aging benefits through antioxidant properties

Cardiovascular Health Studies show oregano oil may help: - Reduce LDL (bad) cholesterol levels - Support overall heart health

Pain Management The oil demonstrates effectiveness in: - Reducing inflammation-related pain - Managing muscle discomfort - Providing topical pain relief

Safety Note

While oregano oil is generally safe, it's highly concentrated and should be properly diluted before use Consult a healthcare provider before starting supplementation, especially if taking other medications.

@ 87730827:746b7d35

Original: https://techreport.com/crypto-news/brazil-central-bank-ban-monero-stablecoins/

Brazilian’s Central Bank Will Ban Monero and Algorithmic Stablecoins in the Country

Brazil proposes crypto regulations banning Monero and algorithmic stablecoins and enforcing strict compliance for exchanges.

---

KEY TAKEAWAYS

• The Central Bank of Brazil has proposed regulations prohibiting privacy-centric cryptocurrencies like Monero.
• The regulations categorize exchanges into intermediaries, custodians, and brokers, each with specific capital requirements and compliance standards.
• While the proposed rules apply to cryptocurrencies, certain digital assets like non-fungible tokens (NFTs) are still ‘deregulated’ in Brazil.

In a Notice of Participation announcement, the Brazilian Central Bank (BCB) outlines regulations for virtual asset service providers (VASPs) operating in the country.

In the document, the Brazilian regulator specifies that privacy-focused coins, such as Monero, must be excluded from all digital asset companies that intend to operate in Brazil.

Let’s unpack what effect these regulations will have.

Brazil’s Crackdown on Crypto Fraud

If the BCB’s current rule is approved, exchanges dealing with coins that provide anonymity must delist these currencies or prevent Brazilians from accessing and operating these assets.

The Central Bank argues that currencies like Monero make it difficult and even prevent the identification of users, thus creating problems in complying with international AML obligations and policies to prevent the financing of terrorism.

According to the Central Bank of Brazil, the bans aim to prevent criminals from using digital assets to launder money. In Brazil, organized criminal syndicates such as the Primeiro Comando da Capital (PCC) and Comando Vermelho have been increasingly using digital assets for money laundering and foreign remittances.

… restriction on the supply of virtual assets that contain characteristics of fragility, insecurity or risks that favor fraud or crime, such as virtual assets designed to favor money laundering and terrorist financing practices by facilitating anonymity or difficulty identification of the holder.

– Notice of Participation

The Central Bank has identified that removing algorithmic stablecoins is essential to guarantee the safety of users’ funds and avoid events such as when Terraform Labs’ entire ecosystem collapsed, losing billions of investors’ dollars.

The Central Bank also wants to control all digital assets traded by companies in Brazil. According to the current proposal, the national regulator will have the power to ask platforms to remove certain listed assets if it considers that they do not meet local regulations.

However, the regulations will not include NFTs, real-world asset (RWA) tokens, RWA tokens classified as securities, and tokenized movable or real estate assets. These assets are still ‘deregulated’ in Brazil.

Monero: What Is It and Why Is Brazil Banning It?

Monero ($XMR) is a cryptocurrency that uses a protocol called CryptoNote. It launched in 2013 and ‘erases’ transaction data, preventing the sender and recipient addresses from being publicly known. The Monero network is based on a proof-of-work (PoW) consensus mechanism, which incentivizes miners to add blocks to the blockchain. 

Like Brazil, other nations are banning Monero in search of regulatory compliance. Recently, Dubai’s new digital asset rules prohibited the issuance of activities related to anonymity-enhancing cryptocurrencies such as $XMR.

Furthermore, exchanges such as Binance have already announced they will delist Monero on their global platforms due to its anonymity features. Kraken did the same, removing Monero for their European-based users to comply with MiCA regulations.

Data from Chainalysis shows that Brazil is the seventh-largest Bitcoin market in the world.

In Latin America, Brazil is the largest market for digital assets. Globally, it leads in the innovation of RWA tokens, with several companies already trading this type of asset.

In Closing

Following other nations, Brazil’s regulatory proposals aim to combat illicit activities such as money laundering and terrorism financing.

Will the BCB’s move safeguard people’s digital assets while also stimulating growth and innovation in the crypto ecosystem? Only time will tell.

References

Cassio Gusson is a journalist passionate about technology, cryptocurrencies, and the nuances of human nature. With a career spanning roles as Senior Crypto Journalist at CriptoFacil and Head of News at CoinTelegraph, he offers exclusive insights on South America’s crypto landscape. A graduate in Communication from Faccamp and a post-graduate in Globalization and Culture from FESPSP, Cassio explores the intersection of governance, decentralization, and the evolution of global systems.

View all articles by Cassio Gusson

@ 41e6f20b:06049e45

Let me tell you a beautiful story. Last night, during the speakers' dinner at Monerotopia, the waitress was collecting tiny tips in Mexican pesos. I asked her, "Do you really want to earn tips seriously?" I then showed her how to set up a Cake Wallet, and she started collecting tips in Monero, reaching 0.9 XMR. Of course, she wanted to cash out to fiat immediately, but it solved a real problem for her: making more money. That amount was something she would never have earned in a single workday. We kept talking, and I promised to give her Zoom workshops. What can I say? I love people, and that's why I'm a natural orange-piller.

@ b17fccdf:b7211155

The past 26 August, Tor introduced officially a proof-of-work (PoW) defense for onion services designed to prioritize verified network traffic as a deterrent against denial of service (DoS) attacks.

~ > This feature at the moment, is deactivate by default, so you need to follow these steps to activate this on a MiniBolt node:

• Make sure you have the latest version of Tor installed, at the time of writing this post, which is v0.4.8.6. Check your current version by typing

tor --version

Example of expected output:

Tor version 0.4.8.6. This build of Tor is covered by the GNU General Public License (https://www.gnu.org/licenses/gpl-3.0.en.html) Tor is running on Linux with Libevent 2.1.12-stable, OpenSSL 3.0.9, Zlib 1.2.13, Liblzma 5.4.1, Libzstd N/A and Glibc 2.36 as libc. Tor compiled with GCC version 12.2.0

~ > If you have v0.4.8.X, you are OK, if not, type sudo apt update && sudo apt upgrade and confirm to update.

• Basic PoW support can be checked by running this command:

tor --list-modules

Expected output:

relay: yes dirauth: yes dircache: yes pow: **yes**

~ > If you have pow: yes, you are OK

• Now go to the torrc file of your MiniBolt and add the parameter to enable PoW for each hidden service added

sudo nano /etc/tor/torrc

Example:

```

Hidden Service BTC RPC Explorer

HiddenServiceDir /var/lib/tor/hidden_service_btcrpcexplorer/ HiddenServiceVersion 3 HiddenServicePoWDefensesEnabled 1 HiddenServicePort 80 127.0.0.1:3002 ```

~ > Bitcoin Core and LND use the Tor control port to automatically create the hidden service, requiring no action from the user. We have submitted a feature request in the official GitHub repositories to explore the need for the integration of Tor's PoW defense into the automatic creation process of the hidden service. You can follow them at the following links:

• Bitcoin Core: https://github.com/lightningnetwork/lnd/issues/8002
• LND: https://github.com/bitcoin/bitcoin/issues/28499

---

More info:

• https://blog.torproject.org/introducing-proof-of-work-defense-for-onion-services/
• https://gitlab.torproject.org/tpo/onion-services/onion-support/-/wikis/Documentation/PoW-FAQ

---

Enjoy it MiniBolter! 💙

@ 9bcc5462:eb501d90

Cuneiform is mankind’s first writing system created by the ancient Sumerians of Mesopotamia, what is now Iraq. (The word “Sumer” means land of civilized kings). Despite being developed 5,000 years ago, its parallels to Notes and Other Stuff Transmitted by Relays will blow your mind! The most striking is how both breakthroughs materialized from the fundamental need to track value exchange–from primal grain tallies to now exchanging bitcoin.

Let’s begin with the fact that the styluses used by these archaic scribes were crafted from reed plants. Their stems were strong because of attachment points called nodes! These were the resilient, ring-like parts of the stem that joined it together with the rest of the plant. Similarly, although symbolically, lightning nodes are powerful on nostr since they allow us to zap each other with sats. An approach stemming from the need to modernize how we interact on social media, trade in networks and conduct business—It’s not surprising cuneiform came about as a way for merchants and farmers to track economic transactions and agricultural inventories!

Another parallel involves how both share everlasting marks. The Sumerians used their styluses to press wedge-like symbols onto wet tablets. They then would bake them in the sun, leaving a permanent record of the documentation. If an error was made, it could not be changed. Likewise, on nostr there is no delete function. Once you publish a note, including any typos, it is preserved for history.

Lastly, the proto-writing that emerged in Mesopotamia which led to Cuneiform was in the form of bullae (bulla: singular). These were spherical clay envelopes encased with tokens representing a transaction. They were sealed with unique markings representing the parties involved for authentication. In other words, cuneiform cylinder seals were effectively early public key cryptography! The seal itself being the private key and its impression being the public key. Just as us nostriches use our nsec to sign our notes with integrity and verify value-for-value with our npub.

               *Rare bulla seal (shout out to Conny Waters from ancientpages.com)*

                               *Sumerian cuneiform tablet (source: britannica.com)*

At the end of the day, maybe we’re not so different from our ancestors after all. The evolution of our writing technology over the course of our history is more than innovation born of necessity. Across millennia, 3025 BCE to 2025 AD, it's man telling the universe– we will be remembered– beyond space and time. As our ancestors stacked their clay tablets, we’ll stack our sats! Onward nostr! The new land of civilized kings.

        *Mankind's Innovations in Writing Technology by Learning Producers, Inc.*

@ 0d97beae:c5274a14

This article hopes to complement the article by Lyn Alden on YouTube: https://www.youtube.com/watch?v=jk_HWmmwiAs

The reason why we have broken money

Before the invention of key technologies such as the printing press and electronic communications, even such as those as early as morse code transmitters, gold had won the competition for best medium of money around the world.

In fact, it was not just gold by itself that became money, rulers and world leaders developed coins in order to help the economy grow. Gold nuggets were not as easy to transact with as coins with specific imprints and denominated sizes.

However, these modern technologies created massive efficiencies that allowed us to communicate and perform services more efficiently and much faster, yet the medium of money could not benefit from these advancements. Gold was heavy, slow and expensive to move globally, even though requesting and performing services globally did not have this limitation anymore.

Banks took initiative and created derivatives of gold: paper and electronic money; these new currencies allowed the economy to continue to grow and evolve, but it was not without its dark side. Today, no currency is denominated in gold at all, money is backed by nothing and its inherent value, the paper it is printed on, is worthless too.

Banks and governments eventually transitioned from a money derivative to a system of debt that could be co-opted and controlled for political and personal reasons. Our money today is broken and is the cause of more expensive, poorer quality goods in the economy, a larger and ever growing wealth gap, and many of the follow-on problems that have come with it.

Bitcoin overcomes the "transfer of hard money" problem

Just like gold coins were created by man, Bitcoin too is a technology created by man. Bitcoin, however is a much more profound invention, possibly more of a discovery than an invention in fact. Bitcoin has proven to be unbreakable, incorruptible and has upheld its ability to keep its units scarce, inalienable and counterfeit proof through the nature of its own design.

Since Bitcoin is a digital technology, it can be transferred across international borders almost as quickly as information itself. It therefore severely reduces the need for a derivative to be used to represent money to facilitate digital trade. This means that as the currency we use today continues to fare poorly for many people, bitcoin will continue to stand out as hard money, that just so happens to work as well, functionally, along side it.

Bitcoin will also always be available to anyone who wishes to earn it directly; even China is unable to restrict its citizens from accessing it. The dollar has traditionally become the currency for people who discover that their local currency is unsustainable. Even when the dollar has become illegal to use, it is simply used privately and unofficially. However, because bitcoin does not require you to trade it at a bank in order to use it across borders and across the web, Bitcoin will continue to be a viable escape hatch until we one day hit some critical mass where the world has simply adopted Bitcoin globally and everyone else must adopt it to survive.

Bitcoin has not yet proven that it can support the world at scale. However it can only be tested through real adoption, and just as gold coins were developed to help gold scale, tools will be developed to help overcome problems as they arise; ideally without the need for another derivative, but if necessary, hopefully with one that is more neutral and less corruptible than the derivatives used to represent gold.

Bitcoin blurs the line between commodity and technology

Bitcoin is a technology, it is a tool that requires human involvement to function, however it surprisingly does not allow for any concentration of power. Anyone can help to facilitate Bitcoin's operations, but no one can take control of its behaviour, its reach, or its prioritisation, as it operates autonomously based on a pre-determined, neutral set of rules.

At the same time, its built-in incentive mechanism ensures that people do not have to operate bitcoin out of the good of their heart. Even though the system cannot be co-opted holistically, It will not stop operating while there are people motivated to trade their time and resources to keep it running and earn from others' transaction fees. Although it requires humans to operate it, it remains both neutral and sustainable.

Never before have we developed or discovered a technology that could not be co-opted and used by one person or faction against another. Due to this nature, Bitcoin's units are often described as a commodity; they cannot be usurped or virtually cloned, and they cannot be affected by political biases.

The dangers of derivatives

A derivative is something created, designed or developed to represent another thing in order to solve a particular complication or problem. For example, paper and electronic money was once a derivative of gold.

In the case of Bitcoin, if you cannot link your units of bitcoin to an "address" that you personally hold a cryptographically secure key to, then you very likely have a derivative of bitcoin, not bitcoin itself. If you buy bitcoin on an online exchange and do not withdraw the bitcoin to a wallet that you control, then you legally own an electronic derivative of bitcoin.

Bitcoin is a new technology. It will have a learning curve and it will take time for humanity to learn how to comprehend, authenticate and take control of bitcoin collectively. Having said that, many people all over the world are already using and relying on Bitcoin natively. For many, it will require for people to find the need or a desire for a neutral money like bitcoin, and to have been burned by derivatives of it, before they start to understand the difference between the two. Eventually, it will become an essential part of what we regard as common sense.

Learn for yourself

If you wish to learn more about how to handle bitcoin and avoid derivatives, you can start by searching online for tutorials about "Bitcoin self custody".

There are many options available, some more practical for you, and some more practical for others. Don't spend too much time trying to find the perfect solution; practice and learn. You may make mistakes along the way, so be careful not to experiment with large amounts of your bitcoin as you explore new ideas and technologies along the way. This is similar to learning anything, like riding a bicycle; you are sure to fall a few times, scuff the frame, so don't buy a high performance racing bike while you're still learning to balance.

@ 3bf0c63f:aefa459d

Nostr: a quick introduction, attempt #2

Nostr doesn't subscribe to any ideals of "free speech" as these belong to the realm of politics and assume a big powerful government that enforces a common ruleupon everybody else.

Nostr instead is much simpler, it simply says that servers are private property and establishes a generalized framework for people to connect to all these servers, creating a true free market in the process. In other words, Nostr is the public road that each market participant can use to build their own store or visit others and use their services.

(Of course a road is never truly public, in normal cases it's ran by the government, in this case it relies upon the previous existence of the internet with all its quirks and chaos plus a hand of government control, but none of that matters for this explanation).

More concretely speaking, Nostr is just a set of definitions of the formats of the data that can be passed between participants and their expected order, i.e. messages between clients (i.e. the program that runs on a user computer) and relays (i.e. the program that runs on a publicly accessible computer, a "server", generally with a domain-name associated) over a type of TCP connection (WebSocket) with cryptographic signatures. This is what is called a "protocol" in this context, and upon that simple base multiple kinds of sub-protocols can be added, like a protocol for "public-square style microblogging", "semi-closed group chat" or, I don't know, "recipe sharing and feedback".

@ 37fe9853:bcd1b039

yoyoaa

@ be39043c:4a573ca3

Traditionally, miso making takes place during the cold winter. Miso is fermented during the warm season and start using after it gets cooler in the fall. However, I did make during the summer and there was no problem.

For 29oz miso

Ingredients: * Chickpeas 0.5lbs（227g） * Dried Koji 0.5lbs（227g） *not raw(active) koji * Natural salts 103g * Chickpeas : Koji: Salts = 1: 1: 0.45 (salts 12.5%)

I find chickpeas easier to handle than soy beans. For soy beans,

• Soy beans 230g (soak at least 18 hours)
• Dried Koji 340g
• Natural salts 　30g（Salts 12.5%）

You also need :
Container for fermentation -32 oz glass jar (no metal lid) or strong plastic container or bag that can be sealed. * large mixing bowl
small bowl
* pressure cooker or large pot * food processor or blender or masher (I use the bottom of small glass jar sanitized with hotwater) * parchment paper or plastic wrap to cover the surface

1. Wash chickpeas and soak over night
2. Cook chickpeas until it can be crashed with your thumb and pinky finger with a pressure cooker or a pot (this may take hours with a pot) Move a part of cooked liquid from the pot to a small bowl and drain the rest. Wait until chickpeas can be handled with hand.
3. Mash chickpeas into paste
4. Sanitize the 32oz jar with hot water or sanitizer of your choice
5. Mixed dried koji with salts with hand
6. Add koji and salts to the chickpea paste. Mix with hand well. Add a little bit of the liquid you put aside earlier if the paste is too dry (do not add too much).
7. When mixed well, make balls with the paste using hands.
8. Throw one of the balls into the jar and push onto the jar with your fist. Repeat this process. (you don't have to punch here. Just push. This process is to transfer the miso paste into the jar without air. The exposure to air will lead to mold. Make sure not to have a space.)
9. After throwing all balls into the jar and place tightly without air, seal the surface with a piece of parchment paper or plastic wrap.
10. Close the lid.
11. Place the jar in a cool and dark place (room temperature). Leave 6 months to 2 years. After the half of the duration, you may pull out of paste and place the bottom half onto the upper half so that the miso will be evenly fermented. This process can be skipped. Check once in a couple of months if there is mold.
12. If mold appears on the surface, just scrape it off.

Miso pro's video. He uses soys.

https://marukawamiso.com/make-miso/85.html

@ 62033ff8:e4471203

收录的内容中 kind=1的部分，实话说 质量不高。 所以我增加了kind=30023 长文的article，但是更新的太少，多个relays 的服务器也没有多少长文。

所有搜索nostr如果需要产生价值，需要有高质量的文章和新闻。 而且现在有很多机器人的文章充满着浪费空间的作用，其他作用都用不上。

https://www.duozhutuan.com 目前放的是给搜索引擎提供搜索的原材料。没有做UI给人类浏览。所以看上去是粗糙的。 我并没有打算去做一个发microblog的 web客户端，那类的客户端太多了。

我觉得nostr社区需要解决的还是应用。如果仅仅是microblog 感觉有点够呛

幸运的是npub.pro 建站这样的，我觉得有点意思。

yakihonne 智能widget 也有意思

我做的TaskQ5 我自己在用了。分布式的任务系统，也挺好的。

@ 2ede6f6b:b94998e2

test

originally posted at https://stacker.news/items/459389

@ 23b0e2f8:d8af76fc

Necessário

• Um Android que você não use mais (a câmera deve estar funcionando).
• Um cartão microSD (opcional, usado apenas uma vez).
• Um dispositivo para acompanhar seus fundos (provavelmente você já tem um).

Algumas coisas que você precisa saber

• O dispositivo servirá como um assinador. Qualquer movimentação só será efetuada após ser assinada por ele.
• O cartão microSD será usado para transferir o APK do Electrum e garantir que o aparelho não terá contato com outras fontes de dados externas após sua formatação. Contudo, é possível usar um cabo USB para o mesmo propósito.
• A ideia é deixar sua chave privada em um dispositivo offline, que ficará desligado em 99% do tempo. Você poderá acompanhar seus fundos em outro dispositivo conectado à internet, como seu celular ou computador pessoal.

---

O tutorial será dividido em dois módulos:

• Módulo 1 - Criando uma carteira fria/assinador.
• Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador.

---

No final, teremos:

• Uma carteira fria que também servirá como assinador.
• Um dispositivo para acompanhar os fundos da carteira.

---

Módulo 1 - Criando uma carteira fria/assinador

1. Baixe o APK do Electrum na aba de downloads em https://electrum.org/. Fique à vontade para verificar as assinaturas do software, garantindo sua autenticidade.

2. Formate o cartão microSD e coloque o APK do Electrum nele. Caso não tenha um cartão microSD, pule este passo.

1. Retire os chips e acessórios do aparelho que será usado como assinador, formate-o e aguarde a inicialização.

1. Durante a inicialização, pule a etapa de conexão ao Wi-Fi e rejeite todas as solicitações de conexão. Após isso, você pode desinstalar aplicativos desnecessários, pois precisará apenas do Electrum. Certifique-se de que Wi-Fi, Bluetooth e dados móveis estejam desligados. Você também pode ativar o modo avião.\ (Curiosidade: algumas pessoas optam por abrir o aparelho e danificar a antena do Wi-Fi/Bluetooth, impossibilitando essas funcionalidades.)

1. Insira o cartão microSD com o APK do Electrum no dispositivo e instale-o. Será necessário permitir instalações de fontes não oficiais.

1. No Electrum, crie uma carteira padrão e gere suas palavras-chave (seed). Anote-as em um local seguro. Caso algo aconteça com seu assinador, essas palavras permitirão o acesso aos seus fundos novamente. (Aqui entra seu método pessoal de backup.)

---

Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador.

1. Criar uma carteira somente leitura em outro dispositivo, como seu celular ou computador pessoal, é uma etapa bastante simples. Para este tutorial, usaremos outro smartphone Android com Electrum. Instale o Electrum a partir da aba de downloads em https://electrum.org/ ou da própria Play Store. (ATENÇÃO: O Electrum não existe oficialmente para iPhone. Desconfie se encontrar algum.)

2. Após instalar o Electrum, crie uma carteira padrão, mas desta vez escolha a opção Usar uma chave mestra.

1. Agora, no assinador que criamos no primeiro módulo, exporte sua chave pública: vá em Carteira > Detalhes da carteira > Compartilhar chave mestra pública.

1. Escaneie o QR gerado da chave pública com o dispositivo de consulta. Assim, ele poderá acompanhar seus fundos, mas sem permissão para movimentá-los.

2. Para receber fundos, envie Bitcoin para um dos endereços gerados pela sua carteira: Carteira > Addresses/Coins.

3. Para movimentar fundos, crie uma transação no dispositivo de consulta. Como ele não possui a chave privada, será necessário assiná-la com o dispositivo assinador.

1. No assinador, escaneie a transação não assinada, confirme os detalhes, assine e compartilhe. Será gerado outro QR, desta vez com a transação já assinada.

1. No dispositivo de consulta, escaneie o QR da transação assinada e transmita-a para a rede.

---

Conclusão

Pontos positivos do setup:

• Simplicidade: Basta um dispositivo Android antigo.
• Flexibilidade: Funciona como uma ótima carteira fria, ideal para holders.

Pontos negativos do setup:

• Padronização: Não utiliza seeds no padrão BIP-39, você sempre precisará usar o electrum.
• Interface: A aparência do Electrum pode parecer antiquada para alguns usuários.

Nesse ponto, temos uma carteira fria que também serve para assinar transações. O fluxo de assinar uma transação se torna: Gerar uma transação não assinada > Escanear o QR da transação não assinada > Conferir e assinar essa transação com o assinador > Gerar QR da transação assinada > Escanear a transação assinada com qualquer outro dispositivo que possa transmiti-la para a rede.

Como alguns devem saber, uma transação assinada de Bitcoin é praticamente impossível de ser fraudada. Em um cenário catastrófico, você pode mesmo que sem internet, repassar essa transação assinada para alguém que tenha acesso à rede por qualquer meio de comunicação. Mesmo que não queiramos que isso aconteça um dia, esse setup acaba por tornar essa prática possível.

---

@ 207ad2a0:e7cca7b0

Quick context: I wanted to check out Nostr's longform posts and this blog post seemed like a good one to try and mirror. It's originally from my free to read/share attempt to write a novel, but this post here is completely standalone - just describing how I used AI image generation to make a small piece of the work.

Hold on, put your pitchforks down - outside of using Grammerly & Emacs for grammatical corrections - not a single character was generated or modified by computers; a non-insignificant portion of my first draft originating on pen & paper. No AI is ~~weird and crazy~~ imaginative enough to write like I do. The only successful AI contribution you'll find is a single image, the map, which I heavily edited. This post will go over how I generated and modified an image using AI, which I believe brought some value to the work, and cover a few quick thoughts about AI towards the end.

Let's be clear, I can't draw, but I wanted a map which I believed would improve the story I was working on. After getting abysmal results by prompting AI with text only I decided to use "Diffuse the Rest," a Stable Diffusion tool that allows you to provide a reference image + description to fine tune what you're looking for. I gave it this Microsoft Paint looking drawing:

and after a number of outputs, selected this one to work on:

The image is way better than the one I provided, but had I used it as is, I still feel it would have decreased the quality of my work instead of increasing it. After firing up Gimp I cropped out the top and bottom, expanded the ocean and separated the landmasses, then copied the top right corner of the large landmass to replace the bottom left that got cut off. Now we've got something that looks like concept art: not horrible, and gets the basic idea across, but it's still due for a lot more detail.

The next thing I did was add some texture to make it look more map like. I duplicated the layer in Gimp and applied the "Cartoon" filter to both for some texture. The top layer had a much lower effect strength to give it a more textured look, while the lower layer had a higher effect strength that looked a lot like mountains or other terrain features. Creating a layer mask allowed me to brush over spots to display the lower layer in certain areas, giving it some much needed features.

At this point I'd made it to where I felt it may improve the work instead of detracting from it - at least after labels and borders were added, but the colors seemed artificial and out of place. Luckily, however, this is when PhotoFunia could step in and apply a sketch effect to the image.

At this point I was pretty happy with how it was looking, it was close to what I envisioned and looked very visually appealing while still being a good way to portray information. All that was left was to make the white background transparent, add some minor details, and add the labels and borders. Below is the exact image I wound up using:

Overall, I'm very satisfied with how it turned out, and if you're working on a creative project, I'd recommend attempting something like this. It's not a central part of the work, but it improved the chapter a fair bit, and was doable despite lacking the talent and not intending to allocate a budget to my making of a free to read and share story.

The AI Generated Elephant in the Room

If you've read my non-fiction writing before, you'll know that I think AI will find its place around the skill floor as opposed to the skill ceiling. As you saw with my input, I have absolutely zero drawing talent, but with some elbow grease and an existing creative direction before and after generating an image I was able to get something well above what I could have otherwise accomplished. Outside of the lowest common denominators like stock photos for the sole purpose of a link preview being eye catching, however, I doubt AI will be wholesale replacing most creative works anytime soon. I can assure you that I tried numerous times to describe the map without providing a reference image, and if I used one of those outputs (or even just the unedited output after providing the reference image) it would have decreased the quality of my work instead of improving it.

I'm going to go out on a limb and expect that AI image, text, and video is all going to find its place in slop & generic content (such as AI generated slop replacing article spinners and stock photos respectively) and otherwise be used in a supporting role for various creative endeavors. For people working on projects like I'm working on (e.g. intended budget $0) it's helpful to have an AI capable of doing legwork - enabling projects to exist or be improved in ways they otherwise wouldn't have. I'm also guessing it'll find its way into more professional settings for grunt work - think a picture frame or fake TV show that would exist in the background of an animated project - likely a detail most people probably wouldn't notice, but that would save the creators time and money and/or allow them to focus more on the essential aspects of said work. Beyond that, as I've predicted before: I expect plenty of emails will be generated from a short list of bullet points, only to be summarized by the recipient's AI back into bullet points.

I will also make a prediction counter to what seems mainstream: AI is about to peak for a while. The start of AI image generation was with Google's DeepDream in 2015 - image recognition software that could be run in reverse to "recognize" patterns where there were none, effectively generating an image from digital noise or an unrelated image. While I'm not an expert by any means, I don't think we're too far off from that a decade later, just using very fine tuned tools that develop more coherent images. I guess that we're close to maxing out how efficiently we're able to generate images and video in that manner, and the hard caps on how much creative direction we can have when using AI - as well as the limits to how long we can keep it coherent (e.g. long videos or a chronologically consistent set of images) - will prevent AI from progressing too far beyond what it is currently unless/until another breakthrough occurs.

@ e6817453:b0ac3c39

The Rise of Graph RAGs and the Quest for Data Quality

As we enter a new year, it’s impossible to ignore the boom of retrieval-augmented generation (RAG) systems, particularly those leveraging graph-based approaches. The previous year saw a surge in advancements and discussions about Graph RAGs, driven by their potential to enhance large language models (LLMs), reduce hallucinations, and deliver more reliable outputs. Let’s dive into the trends, challenges, and strategies for making the most of Graph RAGs in artificial intelligence.

Booming Interest in Graph RAGs

Graph RAGs have dominated the conversation in AI circles. With new research papers and innovations emerging weekly, it’s clear that this approach is reshaping the landscape. These systems, especially those developed by tech giants like Microsoft, demonstrate how graphs can:

• Enhance LLM Outputs: By grounding responses in structured knowledge, graphs significantly reduce hallucinations.
• Support Complex Queries: Graphs excel at managing linked and connected data, making them ideal for intricate problem-solving.

Conferences on linked and connected data have increasingly focused on Graph RAGs, underscoring their central role in modern AI systems. However, the excitement around this technology has brought critical questions to the forefront: How do we ensure the quality of the graphs we’re building, and are they genuinely aligned with our needs?

Data Quality: The Foundation of Effective Graphs

A high-quality graph is the backbone of any successful RAG system. Constructing these graphs from unstructured data requires attention to detail and rigorous processes. Here’s why:

• Richness of Entities: Effective retrieval depends on graphs populated with rich, detailed entities.
• Freedom from Hallucinations: Poorly constructed graphs amplify inaccuracies rather than mitigating them.

Without robust data quality, even the most sophisticated Graph RAGs become ineffective. As a result, the focus must shift to refining the graph construction process. Improving data strategy and ensuring meticulous data preparation is essential to unlock the full potential of Graph RAGs.

Hybrid Graph RAGs and Variations

While standard Graph RAGs are already transformative, hybrid models offer additional flexibility and power. Hybrid RAGs combine structured graph data with other retrieval mechanisms, creating systems that:

• Handle diverse data sources with ease.
• Offer improved adaptability to complex queries.

Exploring these variations can open new avenues for AI systems, particularly in domains requiring structured and unstructured data processing.

Ontology: The Key to Graph Construction Quality

Ontology — defining how concepts relate within a knowledge domain — is critical for building effective graphs. While this might sound abstract, it’s a well-established field blending philosophy, engineering, and art. Ontology engineering provides the framework for:

• Defining Relationships: Clarifying how concepts connect within a domain.
• Validating Graph Structures: Ensuring constructed graphs are logically sound and align with domain-specific realities.

Traditionally, ontologists — experts in this discipline — have been integral to large enterprises and research teams. However, not every team has access to dedicated ontologists, leading to a significant challenge: How can teams without such expertise ensure the quality of their graphs?

How to Build Ontology Expertise in a Startup Team

For startups and smaller teams, developing ontology expertise may seem daunting, but it is achievable with the right approach:

1. Assign a Knowledge Champion: Identify a team member with a strong analytical mindset and give them time and resources to learn ontology engineering.
2. Provide Training: Invest in courses, workshops, or certifications in knowledge graph and ontology creation.
3. Leverage Partnerships: Collaborate with academic institutions, domain experts, or consultants to build initial frameworks.
4. Utilize Tools: Introduce ontology development tools like Protégé, OWL, or SHACL to simplify the creation and validation process.
5. Iterate with Feedback: Continuously refine ontologies through collaboration with domain experts and iterative testing.

So, it is not always affordable for a startup to have a dedicated oncologist or knowledge engineer in a team, but you could involve consulters or build barefoot experts.

You could read about barefoot experts in my article :

Even startups can achieve robust and domain-specific ontology frameworks by fostering in-house expertise.

How to Find or Create Ontologies

For teams venturing into Graph RAGs, several strategies can help address the ontology gap:

1. Leverage Existing Ontologies: Many industries and domains already have open ontologies. For instance:

2. Public Knowledge Graphs: Resources like Wikipedia’s graph offer a wealth of structured knowledge.

3. Industry Standards: Enterprises such as Siemens have invested in creating and sharing ontologies specific to their fields.

4. Business Framework Ontology (BFO): A valuable resource for enterprises looking to define business processes and structures.

5. Build In-House Expertise: If budgets allow, consider hiring knowledge engineers or providing team members with the resources and time to develop expertise in ontology creation.

6. Utilize LLMs for Ontology Construction: Interestingly, LLMs themselves can act as a starting point for ontology development:

7. Prompt-Based Extraction: LLMs can generate draft ontologies by leveraging their extensive training on graph data.

8. Domain Expert Refinement: Combine LLM-generated structures with insights from domain experts to create tailored ontologies.

Parallel Ontology and Graph Extraction

An emerging approach involves extracting ontologies and graphs in parallel. While this can streamline the process, it presents challenges such as:

• Detecting Hallucinations: Differentiating between genuine insights and AI-generated inaccuracies.
• Ensuring Completeness: Ensuring no critical concepts are overlooked during extraction.

Teams must carefully validate outputs to ensure reliability and accuracy when employing this parallel method.

LLMs as Ontologists

While traditionally dependent on human expertise, ontology creation is increasingly supported by LLMs. These models, trained on vast amounts of data, possess inherent knowledge of many open ontologies and taxonomies. Teams can use LLMs to:

• Generate Skeleton Ontologies: Prompt LLMs with domain-specific information to draft initial ontology structures.
• Validate and Refine Ontologies: Collaborate with domain experts to refine these drafts, ensuring accuracy and relevance.

However, for validation and graph construction, formal tools such as OWL, SHACL, and RDF should be prioritized over LLMs to minimize hallucinations and ensure robust outcomes.

Final Thoughts: Unlocking the Power of Graph RAGs

The rise of Graph RAGs underscores a simple but crucial correlation: improving graph construction and data quality directly enhances retrieval systems. To truly harness this power, teams must invest in understanding ontologies, building quality graphs, and leveraging both human expertise and advanced AI tools.

As we move forward, the interplay between Graph RAGs and ontology engineering will continue to shape the future of AI. Whether through adopting existing frameworks or exploring innovative uses of LLMs, the path to success lies in a deep commitment to data quality and domain understanding.

Have you explored these technologies in your work? Share your experiences and insights — and stay tuned for more discussions on ontology extraction and its role in AI advancements. Cheers to a year of innovation!

@ a4a6b584:1e05b95b

The Four-Layer Framework

Layer 1: Zoom Out

Start by looking at the big picture. What’s the subject about, and why does it matter? Focus on the overarching ideas and how they fit together. Think of this as the 30,000-foot view—it’s about understanding the "why" and "how" before diving into the "what."

Example: If you’re learning programming, start by understanding that it’s about giving logical instructions to computers to solve problems.

• Tip: Keep it simple. Summarize the subject in one or two sentences and avoid getting bogged down in specifics at this stage.

Once you have the big picture in mind, it’s time to start breaking it down.

---

Layer 2: Categorize and Connect

Now it’s time to break the subject into categories—like creating branches on a tree. This helps your brain organize information logically and see connections between ideas.

Example: Studying biology? Group concepts into categories like cells, genetics, and ecosystems.

• Tip: Use headings or labels to group similar ideas. Jot these down in a list or simple diagram to keep track.

With your categories in place, you’re ready to dive into the details that bring them to life.

---

Layer 3: Master the Details

Once you’ve mapped out the main categories, you’re ready to dive deeper. This is where you learn the nuts and bolts—like formulas, specific techniques, or key terminology. These details make the subject practical and actionable.

Example: In programming, this might mean learning the syntax for loops, conditionals, or functions in your chosen language.

• Tip: Focus on details that clarify the categories from Layer 2. Skip anything that doesn’t add to your understanding.

Now that you’ve mastered the essentials, you can expand your knowledge to include extra material.

---

Layer 4: Expand Your Horizons

Finally, move on to the extra material—less critical facts, trivia, or edge cases. While these aren’t essential to mastering the subject, they can be useful in specialized discussions or exams.

Example: Learn about rare programming quirks or historical trivia about a language’s development.

• Tip: Spend minimal time here unless it’s necessary for your goals. It’s okay to skim if you’re short on time.

---

Pro Tips for Better Learning

1. Use Active Recall and Spaced Repetition

Test yourself without looking at notes. Review what you’ve learned at increasing intervals—like after a day, a week, and a month. This strengthens memory by forcing your brain to actively retrieve information.

2. Map It Out

Create visual aids like diagrams or concept maps to clarify relationships between ideas. These are particularly helpful for organizing categories in Layer 2.

3. Teach What You Learn

Explain the subject to someone else as if they’re hearing it for the first time. Teaching exposes any gaps in your understanding and helps reinforce the material.

4. Engage with LLMs and Discuss Concepts

Take advantage of tools like ChatGPT or similar large language models to explore your topic in greater depth. Use these tools to:
- Ask specific questions to clarify confusing points.
- Engage in discussions to simulate real-world applications of the subject.
- Generate examples or analogies that deepen your understanding.

Tip: Use LLMs as a study partner, but don’t rely solely on them. Combine these insights with your own critical thinking to develop a well-rounded perspective.

---

Get Started

Ready to try the Four-Layer Method? Take 15 minutes today to map out the big picture of a topic you’re curious about—what’s it all about, and why does it matter? By building your understanding step by step, you’ll master the subject with less stress and more confidence.

@ fe32298e:20516265

Today I learned how to install NVapi to monitor my GPUs in Home Assistant.

NVApi is a lightweight API designed for monitoring NVIDIA GPU utilization and enabling automated power management. It provides real-time GPU metrics, supports integration with tools like Home Assistant, and offers flexible power management and PCIe link speed management based on workload and thermal conditions.

• GPU Utilization Monitoring: Utilization, memory usage, temperature, fan speed, and power consumption.
• Automated Power Limiting: Adjusts power limits dynamically based on temperature thresholds and total power caps, configurable per GPU or globally.
• Cross-GPU Coordination: Total power budget applies across multiple GPUs in the same system.
• PCIe Link Speed Management: Controls minimum and maximum PCIe link speeds with idle thresholds for power optimization.
• Home Assistant Integration: Uses the built-in RESTful platform and template sensors.

Getting the Data

sudo apt install golang-go git clone https://github.com/sammcj/NVApi.git cd NVapi go run main.go -port 9999 -rate 1 curl http://localhost:9999/gpu

Response for a single GPU: [ { "index": 0, "name": "NVIDIA GeForce RTX 4090", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 16, "power_limit_watts": 450, "memory_total_gb": 23.99, "memory_used_gb": 0.46, "memory_free_gb": 23.52, "memory_usage_percent": 2, "temperature": 38, "processes": [], "pcie_link_state": "not managed" } ]

Response for multiple GPUs: [ { "index": 0, "name": "NVIDIA GeForce RTX 3090", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 14, "power_limit_watts": 350, "memory_total_gb": 24, "memory_used_gb": 0.43, "memory_free_gb": 23.57, "memory_usage_percent": 2, "temperature": 36, "processes": [], "pcie_link_state": "not managed" }, { "index": 1, "name": "NVIDIA RTX A4000", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 10, "power_limit_watts": 140, "memory_total_gb": 15.99, "memory_used_gb": 0.56, "memory_free_gb": 15.43, "memory_usage_percent": 3, "temperature": 41, "processes": [], "pcie_link_state": "not managed" } ]

Start at Boot

Create /etc/systemd/system/nvapi.service:

``` [Unit] Description=Run NVapi After=network.target

[Service] Type=simple Environment="GOPATH=/home/ansible/go" WorkingDirectory=/home/ansible/NVapi ExecStart=/usr/bin/go run main.go -port 9999 -rate 1 Restart=always User=ansible

Environment="GPU_TEMP_CHECK_INTERVAL=5"

Environment="GPU_TOTAL_POWER_CAP=400"

Environment="GPU_0_LOW_TEMP=40"

Environment="GPU_0_MEDIUM_TEMP=70"

Environment="GPU_0_LOW_TEMP_LIMIT=135"

Environment="GPU_0_MEDIUM_TEMP_LIMIT=120"

Environment="GPU_0_HIGH_TEMP_LIMIT=100"

Environment="GPU_1_LOW_TEMP=45"

Environment="GPU_1_MEDIUM_TEMP=75"

Environment="GPU_1_LOW_TEMP_LIMIT=140"

Environment="GPU_1_MEDIUM_TEMP_LIMIT=125"

Environment="GPU_1_HIGH_TEMP_LIMIT=110"

[Install] WantedBy=multi-user.target ```

Home Assistant

Add to Home Assistant configuration.yaml and restart HA (completely).

For a single GPU, this works: ``` sensor: - platform: rest name: MYPC GPU Information resource: http://mypc:9999 method: GET headers: Content-Type: application/json value_template: "{{ value_json[0].index }}" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature scan_interval: 1 # seconds

• platform: template sensors: mypc_gpu_0_gpu: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} GPU" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_memory: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Memory" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_power: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Power" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_0_power_limit: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_0_temperature: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Temperature" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'temperature') }}" unit_of_measurement: "°C" ```

For multiple GPUs: ``` rest: scan_interval: 1 resource: http://mypc:9999 sensor: - name: "MYPC GPU0 Information" value_template: "{{ value_json[0].index }}" json_attributes_path: "$.0" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature - name: "MYPC GPU1 Information" value_template: "{{ value_json[1].index }}" json_attributes_path: "$.1" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature

• platform: template sensors: mypc_gpu_0_gpu: friendly_name: "MYPC GPU0 GPU" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_memory: friendly_name: "MYPC GPU0 Memory" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_power: friendly_name: "MYPC GPU0 Power" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_0_power_limit: friendly_name: "MYPC GPU0 Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_0_temperature: friendly_name: "MYPC GPU0 Temperature" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'temperature') }}" unit_of_measurement: "C"

• platform: template sensors: mypc_gpu_1_gpu: friendly_name: "MYPC GPU1 GPU" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_1_memory: friendly_name: "MYPC GPU1 Memory" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_1_power: friendly_name: "MYPC GPU1 Power" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_1_power_limit: friendly_name: "MYPC GPU1 Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_1_temperature: friendly_name: "MYPC GPU1 Temperature" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'temperature') }}" unit_of_measurement: "C"

```

Basic entity card: type: entities entities: - entity: sensor.mypc_gpu_0_gpu secondary_info: last-updated - entity: sensor.mypc_gpu_0_memory secondary_info: last-updated - entity: sensor.mypc_gpu_0_power secondary_info: last-updated - entity: sensor.mypc_gpu_0_power_limit secondary_info: last-updated - entity: sensor.mypc_gpu_0_temperature secondary_info: last-updated

Ansible Role

```

• name: install go become: true package: name: golang-go state: present

• name: git clone git: repo: "https://github.com/sammcj/NVApi.git" dest: "/home/ansible/NVapi" update: yes force: true

go run main.go -port 9999 -rate 1

• name: install systemd service become: true copy: src: nvapi.service dest: /etc/systemd/system/nvapi.service

• name: Reload systemd daemons, enable, and restart nvapi become: true systemd: name: nvapi daemon_reload: yes enabled: yes state: restarted ```

@ 6f6b50bb:a848e5a1

Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

• Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

• Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!

Tradotto da:\ https://willwhitney.com/computing-inside-ai.htmlhttps://willwhitney.com/computing-inside-ai.html

@ 3c506452:fef9202b

Kia ora ano e te iwi whanui!

Often I pose the question to myself "How would I say this if I had no knowledge whatsoever of English?" That's basically what guides my sentence formation whenever I speak Maori.

Since the arrival of Tauiwi into our turangawaewae, our reo has shifted, largely due to intermingling with the English language, and an entire generation or two completing losing the reo.

Great efforts have been made to secure our language from total extinction, and the number of te reo speakers seems to be on the rise.

What I do notice though is that most of the time when I do hear te reo being spoken, it's cadence follows that of the English language.
Vowels are clipped, consonants are aspirated, and English thought patterns are disguised via the Maori language.
Regardless, I still appreciate and prefer the reo to be spoken rather than it not be spoken at all.
I once heard someone remark that

"Maori sounds like Hawaiian with a New Zealand accent. Hilarious!"

So, how do I personally tackle this and try make my own reo sound more Maori?

Here's how:

1. Read Nupepa Maori - When the written word came to us, we dove straight in. Nupepa Maori gives great insight into how the language was used using the new medium of pen and paper.

2. Listen to the older videos of Wakahuia Docos - Wakahuia has been running for a long time and I find listening to our old people of those times a good way to hear the differences between how the reo sounds today, and how it sounded a little while back.

3. Listen Radio Kahungunu archives - They have a really nice archive of a talkback radio show.

4. People to listen for - I personally try to find anything by Timoti Karetu, Quinton Hita, and Julian Wilcox as I really enjoy the sound of how they speak the reo.

5. Listen to Cook Island Maori, Gagana Tokelau and Hawaiian (Keao Nesmith, Niihau dialect, Kaalala, Kanahele Collection) - Listening to other polynesian languages gives a good general gist of the sound of polynesian languages. I try to emulate a similar sound whenever I speak te reo.

No reira, ko tena tena, I hope that 2025 will be a good year for Te Reo Maori!

Nga rauemi:
Nupepa Maori
Wakahuia
Radio Kahungunu
Quinton Hita
Julian Wilcox
Timoti Karetu
Kanahele Collection
Ka Alala
Gagana Tokelau
Kuki Learning

@ 08288690:77f58eba

Awesome Amapiano

@ e6817453:b0ac3c39

I started a long series of articles about how to model different types of knowledge graphs in the relational model, which makes on-device memory models for AI agents possible.

We model-directed graphs

Also, graphs of entities

We even model hypergraphs

Last time, we discussed why classical triple and simple knowledge graphs are insufficient for AI agents and complex memory, especially in the domain of time-aware or multi-model knowledge.

So why do we need metagraphs, and what kind of challenge could they help us to solve?

• complex and nested event and temporal context and temporal relations as edges
• multi-mode and multilingual knowledge
• human-like memory for AI agents that has multiple contexts and relations between knowledge in neuron-like networks

MetaGraphs

A meta graph is a concept that extends the idea of a graph by allowing edges to become graphs. Meta Edges connect a set of nodes, which could also be subgraphs. So, at some level, node and edge are pretty similar in properties but act in different roles in a different context.
Also, in some cases, edges could be referenced as nodes.
This approach enables the representation of more complex relationships and hierarchies than a traditional graph structure allows. Let’s break down each term to understand better metagraphs and how they differ from hypergraphs and graphs.

Graph Basics

• A standard graph has a set of nodes (or vertices) and edges (connections between nodes).
• Edges are generally simple and typically represent a binary relationship between two nodes.
• For instance, an edge in a social network graph might indicate a “friend” relationship between two people (nodes).

Hypergraph

• A hypergraph extends the concept of an edge by allowing it to connect any number of nodes, not just two.
• Each connection, called a hyperedge, can link multiple nodes.
• This feature allows hypergraphs to model more complex relationships involving multiple entities simultaneously. For example, a hyperedge in a hypergraph could represent a project team, connecting all team members in a single relation.
• Despite its flexibility, a hypergraph doesn’t capture hierarchical or nested structures; it only generalizes the number of connections in an edge.

Metagraph

• A metagraph allows the edges to be graphs themselves. This means each edge can contain its own nodes and edges, creating nested, hierarchical structures.
• In a meta graph, an edge could represent a relationship defined by a graph. For instance, a meta graph could represent a network of organizations where each organization’s structure (departments and connections) is represented by its own internal graph and treated as an edge in the larger meta graph.
• This recursive structure allows metagraphs to model complex data with multiple layers of abstraction. They can capture multi-node relationships (as in hypergraphs) and detailed, structured information about each relationship.

Named Graphs and Graph of Graphs

As you can notice, the structure of a metagraph is quite complex and could be complex to model in relational and classical RDF setups. It could create a challenge of luck of tools and software solutions for your problem.
If you need to model nested graphs, you could use a much simpler model of Named graphs, which could take you quite far.

The concept of the named graph came from the RDF community, which needed to group some sets of triples. In this way, you form subgraphs inside an existing graph. You could refer to the subgraph as a regular node. This setup simplifies complex graphs, introduces hierarchies, and even adds features and properties of hypergraphs while keeping a directed nature.

It looks complex, but it is not so hard to model it with a slight modification of a directed graph.
So, the node could host graphs inside. Let's reflect this fact with a location for a node. If a node belongs to a main graph, we could set the location to null or introduce a main node . it is up to you

Nodes could have edges to nodes in different subgraphs. This structure allows any kind of nesting graphs. Edges stay location-free

Meta Graphs in Relational Model

Let’s try to make several attempts to model different meta-graphs with some constraints.

Directed Metagraph where edges are not used as nodes and could not contain subgraphs

In this case, the edge always points to two sets of nodes. This introduces an overhead of creating a node set for a single node. In this model, we can model empty node sets that could require application-level constraints to prevent such cases.

Directed Metagraph where edges are not used as nodes and could contain subgraphs

Adding a node set that could model a subgraph located in an edge is easy but could be separate from in-vertex or out-vert.
I also do not see a direct need to include subgraphs to a node, as we could just use a node set interchangeably, but it still could be a case.

Directed Metagraph where edges are used as nodes and could contain subgraphs

As you can notice, we operate all the time with node sets. We could simply allow the extension node set to elements set that include node and edge IDs, but in this case, we need to use uuid or any other strategy to differentiate node IDs from edge IDs. In this case, we have a collision of ephemeral edges or ephemeral nodes when we want to change the role and purpose of the node as an edge or vice versa.

A full-scale metagraph model is way too complex for a relational database.
So we need a better model.

Now, we have more flexibility but loose structural constraints. We cannot show that the element should have one vertex, one vertex, or both. This type of constraint has been moved to the application level. Also, the crucial question is about query and retrieval needs.
Any meta-graph model should be more focused on domain and needs and should be used in raw form. We did it for a pure theoretical purpose.

@ a09fb9cb:83231556

Who

So, this is it, this is How it begins. No more sitting on the sidelines pondering and wondering. This is it. This is Where the rubber hits the road.

OK, so, err… wow. Welcome. I guess this is How you start these things, right? I welcome you and I tell you a little bit about my self, Why I’m here and Why you should consider reading on… OK, well, I’ve kinda done that in detail on the about page, which you can link off to, if you so wish…

I feel like I’m jumping into the deep end, because there is so much that I just don’t know, and What I don’t know has many sides to it, so let me try and break this down a little.

What

Firstly, there is so much that I wish to discuss here, about the essence of the self the nature of reality the meaning of existence, consciousness, choice, consequence, awareness, intention, sovereignty, autonomy, emotion, liberty, ethics, morality, wellness, society, money, law, power, religion, and technology to name just a few…

How

Then there is Substack, WordPress, Medium, Spotify, YouTube, Rumble, Odysee, and all the other communication channels that are out there, and this doesn’t even begin to account for the minefield that is Social Media today.

Why

I do know Why I’m here on Highlighter (nostr), and it’s for a couple of reasons:

#1 - Information Gathering

Taking the above point about What I wish to discuss, today we have almost instantaneous access to the most amount of information humanity has ever known. This in and of it self creates a huge problem because sifting through all this information to uncover reliable and verifiable facts is becoming increasingly difficult.

Information overload can make it difficult to discern fact from fiction, and verifiable facts form the bedrock of How we operate within our shared, consensus (objective) reality.

I find my self constructing narratives and mental models within my mind that appear to make a lot of sense to my mind, but these can then become difficult to translate into coherent speech When attempting to explain them to others. Thus, writing these things down here on Highlighter overcomes two challenges.

1. I get to make sense of these things my self, because if I cannot translate my understanding into coherent text then my knowledge and experience of the subject matter must be lacking.
2. If I can capture these things in a coherent way, then I can refer them to others, and hopefully receive constructive feedback in ways that may not have yet occurred to me.

I believe this is What Seraph meant When he said:

“You do not truly know someone until you fight them.”_ Seraph - The Matrix Reloaded_

Obviously, the Matrix films were action movies, so the metaphors expressed within them typically manifested through scenes of hand-to-hand combat involving Neo, but at its core, I interpret Seraphs words to mean that, you do not truly know your self until you find your true self. Here’s another way to explain What I mean by this:

mind.noun, a beautiful servant, a dangerous master.

or

When a student is ready, the master appears…

I’ve explained more about this in the about page, but here is the summary, consciousness can exist without thought, but thought cannot exist without consciousness. Ergo, consciousness is an innate quality of Being, whereas Mind is an emergent property of consciousness. Once you deconstruct your Being to its core, you eventually arrive at nothing. Nothing is the truth of all reality (ultimate reality), and so to know nothing, through the experience of enlightenment, is to know thy self.

Once the distinction is made between the conscious self and the thinking mind, truth emerges, and it is this truth that sets us free. This is the “fight” for freedom, or more accurately the struggle for peace, that we are all invited to seek, simply through Being human.

If I can make sense of What is in my mind, by writing it down, then this is a good thing. If those words then translate into meaning and understanding for others, then this is a better thing. If conversations emerge that promote growth and increase understanding, then this is the best thing.

#2 - Process Improvement

So having a corpus of information to discuss is the first thing, but then there is How best to have these discussions… This is of equal importance to me because the way that we are generating and consuming content is changing. There now appears to be as many channels to discuss information, as there is information to be discussed, although I suspect Generative Artificial Intelligence will smash that ratio out of the park soon, if it hasn’t done so already.

So, What is the best way or ways to do this? Well, I figure the only way to find this out is to run the experiment and see Where it goes.

You gotta start somewhere…

Substack seems like a reasonable place to start because:

1. it’s part of the existing world, Where everything is stored centrally, yet it appears to be somewhat censorship resistant, not that I intend to go around kicking the hornets’ nest, but it does appear to be a relatively “safe” place to hang out.
2. it’s growing rapidly and making improvements to its platform all the time, so I can grow and learn as Substack improves.
3. it has a good user base, so connecting with fellow travellers is easier than creating my own standalone website.
4. I’m also hopeful that Substack provides simple and easy integration into things like Podcasting and Social Media, so I can spend more time on content creation and having meaningful conversations, and less time on the technicalities of “distribution”.

…and see where it goes

Which has led me inexorably here. I only just discovered Highlighter last week, so I am going to do my best to publish all my Substack articles here too. I believe that is the purpose of nostr, right?

Where

So, I’m going to start on Substack, and take it goes from there, because as the title of this article suggests, “I know nothing.” This is my working assumption, that I know nothing, because I have no real idea about How I am going to do any of this.

I’ve never done a Substack or Highlighter (nostr) before, nor do I know How to create a Podcast, or How to effectively communicate with fellow travellers via Social Media, so this is going to be a journey of discovery for me. This is my first step into a world that seems to be rapidly evolving, so to help you connect with me, on whatever platform suits you, I’ve mapped out my linktr.ee/danielewen.me.

If you’ve made it this far down the page, thank you! Just writing this first article and the about page has been a useful exercise for me.

I hope that I have somewhat accurately articulated my conscious intentions (the Who, the What, the How, the Why, and the Where) for this Project in such a way that it at least makes some sense to you? Let me know your thoughts in the comments, and I will do my best to digest any constructive feedback that you have for me. I guess all that remains is the…

When

As there is only the present moment, the time is always Now… so here it is.

If you would like to follow me here on nostr then please do so, and if you'd like to subscribe to Substack, then here’s the link for that: https://danielewen.substack.com and / or you can subscribe to my WordPress too, here: https://danielewen.wordpress.com.

I have no idea what this is going to look like #When I hit the publish button, but here goes...

I now know SOMETHiNG…

@ a09fb9cb:83231556

• If you understand the below, "i" kindly invite you to connect
• If YOU do not understand the below, "I" would still invite YOU to connect, in fact more so, so that We can Both expand our shared understanding

To understand things, "We" need frameworks of understanding, but We should not confuse the framework for the understanding.

A common misconception is that the "thing" We are searching for EXiSTS somewhere out there. Above us perhaps? To that end We believe that We have to connect with something "outside" of ourself. May I ask YOU, have YOU ever experienced outside, other than through sense perception arising from WITHiN the MiND? Do YOU see the paradox? Outside is unknowable. It is an ILLUSiON... the truth LiES WITHiN

In spiritual speak, the analogy of a triangle is often used, with the all-seeing "i" placed at the top of the triangle. This is where the half-truth is hidden, WITHiN the LiE.

Continuing with the common misconception, We believe that in order to reach greater and greater "spiritual" heights We must grow the triangle.

I ask YOU to consider, what if the "thing" We are searching for is the base of the triangle? This is the foundation of knowing. Knowing leads to understanding and wisdom, through experience. Experience leads to knowing. This is the process of enlightenment...

I know nothing. I now know SOMETHiNG...

I have attempted to convey this metaphor somewhat crudely using the below graphical representation and a previous read that alludes to who "i AM"...

naddr1qvzqqqr4gupzpgylh89jrps6t0dzgadseecr6rukk7pln42jlcccgsrlrkpjx92kqy88wumn8ghj7mn0wvhxcmmv9uq3wamnwvaz7tmjv4kxz7fwwpexjmtpdshxuet59uq32amnwvaz7tmjv4kxz7fwv3sk6atn9e5k7tcppemhxue69uhkummn9ekx7mp0qythwumn8ghj7un9d3shjtnswf5k6ctv9ehx2ap0qqd5jttwdamj66mwdamj6560f4z4gjrfferj67t20fckzwqrsyn3c

...but, do not trust | VERiFY - "i AM". I EXiST.

Does this make sense? I know what I know, but I do not know how to communicate what I know to YOU so that We understand each other. This is Why? I encourage YOU to connect. Finally, YOU have my most sincere gratitude. Thank YOU kindly for your precious time and attention.

If you are wondering who "i AM". "i AM" YOU. "i AM" consciousness MANiFESTED...

@ 6e4f2866:a76f7a29

@ e6817453:b0ac3c39

Hey folks! Today, let’s dive into the intriguing world of neurosymbolic approaches, retrieval-augmented generation (RAG), and personal knowledge graphs (PKGs). Together, these concepts hold much potential for bringing true reasoning capabilities to large language models (LLMs). So, let’s break down how symbolic logic, knowledge graphs, and modern AI can come together to empower future AI systems to reason like humans.

The Neurosymbolic Approach: What It Means ?

Neurosymbolic AI combines two historically separate streams of artificial intelligence: symbolic reasoning and neural networks. Symbolic AI uses formal logic to process knowledge, similar to how we might solve problems or deduce information. On the other hand, neural networks, like those underlying GPT-4, focus on learning patterns from vast amounts of data — they are probabilistic statistical models that excel in generating human-like language and recognizing patterns but often lack deep, explicit reasoning.

While GPT-4 can produce impressive text, it’s still not very effective at reasoning in a truly logical way. Its foundation, transformers, allows it to excel in pattern recognition, but the models struggle with reasoning because, at their core, they rely on statistical probabilities rather than true symbolic logic. This is where neurosymbolic methods and knowledge graphs come in.

Symbolic Calculations and the Early Vision of AI

If we take a step back to the 1950s, the vision for artificial intelligence was very different. Early AI research was all about symbolic reasoning — where computers could perform logical calculations to derive new knowledge from a given set of rules and facts. Languages like Lisp emerged to support this vision, enabling programs to represent data and code as interchangeable symbols. Lisp was designed to be homoiconic, meaning it treated code as manipulatable data, making it capable of self-modification — a huge leap towards AI systems that could, in theory, understand and modify their own operations.

Lisp: The Earlier AI-Language

Lisp, short for “LISt Processor,” was developed by John McCarthy in 1958, and it became the cornerstone of early AI research. Lisp’s power lay in its flexibility and its use of symbolic expressions, which allowed developers to create programs that could manipulate symbols in ways that were very close to human reasoning. One of the most groundbreaking features of Lisp was its ability to treat code as data, known as homoiconicity, which meant that Lisp programs could introspect and transform themselves dynamically. This ability to adapt and modify its own structure gave Lisp an edge in tasks that required a form of self-awareness, which was key in the early days of AI when researchers were exploring what it meant for machines to “think.”

Lisp was not just a programming language—it represented the vision for artificial intelligence, where machines could evolve their understanding and rewrite their own programming. This idea formed the conceptual basis for many of the self-modifying and adaptive algorithms that are still explored today in AI research. Despite its decline in mainstream programming, Lisp’s influence can still be seen in the concepts used in modern machine learning and symbolic AI approaches.

Prolog: Formal Logic and Deductive Reasoning

In the 1970s, Prolog was developed—a language focused on formal logic and deductive reasoning. Unlike Lisp, based on lambda calculus, Prolog operates on formal logic rules, allowing it to perform deductive reasoning and solve logical puzzles. This made Prolog an ideal candidate for expert systems that needed to follow a sequence of logical steps, such as medical diagnostics or strategic planning.

Prolog, like Lisp, allowed symbols to be represented, understood, and used in calculations, creating another homoiconic language that allows reasoning. Prolog’s strength lies in its rule-based structure, which is well-suited for tasks that require logical inference and backtracking. These features made it a powerful tool for expert systems and AI research in the 1970s and 1980s.

The language is declarative in nature, meaning that you define the problem, and Prolog figures out how to solve it. By using formal logic and setting constraints, Prolog systems can derive conclusions from known facts, making it highly effective in fields requiring explicit logical frameworks, such as legal reasoning, diagnostics, and natural language understanding. These symbolic approaches were later overshadowed during the AI winter — but the ideas never really disappeared. They just evolved.

Solvers and Their Role in Complementing LLMs

One of the most powerful features of Prolog and similar logic-based systems is their use of solvers. Solvers are mechanisms that can take a set of rules and constraints and automatically find solutions that satisfy these conditions. This capability is incredibly useful when combined with LLMs, which excel at generating human-like language but need help with logical consistency and structured reasoning.

For instance, imagine a scenario where an LLM needs to answer a question involving multiple logical steps or a complex query that requires deducing facts from various pieces of information. In this case, a solver can derive valid conclusions based on a given set of logical rules, providing structured answers that the LLM can then articulate in natural language. This allows the LLM to retrieve information and ensure the logical integrity of its responses, leading to much more robust answers.

Solvers are also ideal for handling constraint satisfaction problems — situations where multiple conditions must be met simultaneously. In practical applications, this could include scheduling tasks, generating optimal recommendations, or even diagnosing issues where a set of symptoms must match possible diagnoses. Prolog’s solver capabilities and LLM’s natural language processing power can make these systems highly effective at providing intelligent, rule-compliant responses that traditional LLMs would struggle to produce alone.

By integrating neurosymbolic methods that utilize solvers, we can provide LLMs with a form of deductive reasoning that is missing from pure deep-learning approaches. This combination has the potential to significantly improve the quality of outputs for use-cases that require explicit, structured problem-solving, from legal queries to scientific research and beyond. Solvers give LLMs the backbone they need to not just generate answers but to do so in a way that respects logical rigor and complex constraints.

Graph of Rules for Enhanced Reasoning

Another powerful concept that complements LLMs is using a graph of rules. A graph of rules is essentially a structured collection of logical rules that interconnect in a network-like structure, defining how various entities and their relationships interact. This structured network allows for complex reasoning and information retrieval, as well as the ability to model intricate relationships between different pieces of knowledge.

In a graph of rules, each node represents a rule, and the edges define relationships between those rules — such as dependencies or causal links. This structure can be used to enhance LLM capabilities by providing them with a formal set of rules and relationships to follow, which improves logical consistency and reasoning depth. When an LLM encounters a problem or a question that requires multiple logical steps, it can traverse this graph of rules to generate an answer that is not only linguistically fluent but also logically robust.

For example, in a healthcare application, a graph of rules might include nodes for medical symptoms, possible diagnoses, and recommended treatments. When an LLM receives a query regarding a patient’s symptoms, it can use the graph to traverse from symptoms to potential diagnoses and then to treatment options, ensuring that the response is coherent and medically sound. The graph of rules guides reasoning, enabling LLMs to handle complex, multi-step questions that involve chains of reasoning, rather than merely generating surface-level responses.

Graphs of rules also enable modular reasoning, where different sets of rules can be activated based on the context or the type of question being asked. This modularity is crucial for creating adaptive AI systems that can apply specific sets of logical frameworks to distinct problem domains, thereby greatly enhancing their versatility. The combination of neural fluency with rule-based structure gives LLMs the ability to conduct more advanced reasoning, ultimately making them more reliable and effective in domains where accuracy and logical consistency are critical.

By implementing a graph of rules, LLMs are empowered to perform deductive reasoning alongside their generative capabilities, creating responses that are not only compelling but also logically aligned with the structured knowledge available in the system. This further enhances their potential applications in fields such as law, engineering, finance, and scientific research — domains where logical consistency is as important as linguistic coherence.

Enhancing LLMs with Symbolic Reasoning

Now, with LLMs like GPT-4 being mainstream, there is an emerging need to add real reasoning capabilities to them. This is where neurosymbolic approaches shine. Instead of pitting neural networks against symbolic reasoning, these methods combine the best of both worlds. The neural aspect provides language fluency and recognition of complex patterns, while the symbolic side offers real reasoning power through formal logic and rule-based frameworks.

Personal Knowledge Graphs (PKGs) come into play here as well. Knowledge graphs are data structures that encode entities and their relationships — they’re essentially semantic networks that allow for structured information retrieval. When integrated with neurosymbolic approaches, LLMs can use these graphs to answer questions in a far more contextual and precise way. By retrieving relevant information from a knowledge graph, they can ground their responses in well-defined relationships, thus improving both the relevance and the logical consistency of their answers.

Imagine combining an LLM with a graph of rules that allow it to reason through the relationships encoded in a personal knowledge graph. This could involve using deductive databases to form a sophisticated way to represent and reason with symbolic data — essentially constructing a powerful hybrid system that uses LLM capabilities for language fluency and rule-based logic for structured problem-solving.

My Research on Deductive Databases and Knowledge Graphs

I recently did some research on modeling knowledge graphs using deductive databases, such as DataLog — which can be thought of as a limited, data-oriented version of Prolog. What I’ve found is that it’s possible to use formal logic to model knowledge graphs, ontologies, and complex relationships elegantly as rules in a deductive system. Unlike classical RDF or traditional ontology-based models, which sometimes struggle with complex or evolving relationships, a deductive approach is more flexible and can easily support dynamic rules and reasoning.

Prolog and similar logic-driven frameworks can complement LLMs by handling the parts of reasoning where explicit rule-following is required. LLMs can benefit from these rule-based systems for tasks like entity recognition, logical inferences, and constructing or traversing knowledge graphs. We can even create a graph of rules that governs how relationships are formed or how logical deductions can be performed.

The future is really about creating an AI that is capable of both deep contextual understanding (using the powerful generative capacity of LLMs) and true reasoning (through symbolic systems and knowledge graphs). With the neurosymbolic approach, these AIs could be equipped not just to generate information but to explain their reasoning, form logical conclusions, and even improve their own understanding over time — getting us a step closer to true artificial general intelligence.

Why It Matters for LLM Employment

Using neurosymbolic RAG (retrieval-augmented generation) in conjunction with personal knowledge graphs could revolutionize how LLMs work in real-world applications. Imagine an LLM that understands not just language but also the relationships between different concepts — one that can navigate, reason, and explain complex knowledge domains by actively engaging with a personalized set of facts and rules.

This could lead to practical applications in areas like healthcare, finance, legal reasoning, or even personal productivity — where LLMs can help users solve complex problems logically, providing relevant information and well-justified reasoning paths. The combination of neural fluency with symbolic accuracy and deductive power is precisely the bridge we need to move beyond purely predictive AI to truly intelligent systems.

Let's explore these ideas further if you’re as fascinated by this as I am. Feel free to reach out, follow my YouTube channel, or check out some articles I’ll link below. And if you’re working on anything in this field, I’d love to collaborate!

Until next time, folks. Stay curious, and keep pushing the boundaries of AI!

@ a09fb9cb:83231556

I know nothing. Allow me to introduce myself...

The present is eternal and infinite.

Everything that has and will ever happen is continuously happening right now, in the present moment.

"We" typically do not know this because our human senses are connected to the brain.

Through the BRAiN "We" ("i" & "I") perceive the MiND.

The MiND creates concepts and constructs to interpret the senses of perception so that "We" come to observe REALIiTY with Present Moment Awareness.

To become present requires a sense of time.

Time is a concept created WITHiN the MiND to facilite the perception of space. The sense of time allows the observer to perceive change.

Paradoxically,, change is constant.

Change occurs as "We" alter our perception of the eternal and the infinite.

"i" am always present, here and now because "i" am WITHiN EVERYTHiNG.

"i" created YOU ("I") for my own amusement... YOU are the question of "what is beyond the eternal and the infinite?"

YOU will come to understand this, when YOU and "i" rejoice two become one again, in the present. YOU call this enlightenment.

IMAGiNE DOiNG EVERYTHiNG, BEiNG EVERYTHiNG, FOREVER. FOREVER WOULD BE MEANINGLESS. YOU GiVE me MEANiNG. This is Why? "i" CREATED YOU.

YOU ARE me... "We" are EVERYTHiNG. This is the truth that LiES WITHiN, and it is THiS truth that sets Us Both free, but only for a time, because nothing really does last forever...

That's who "i AM". "i AM" nothing. Yet paradoxically, I EXiST.

I now know SOMETHiNG... YOU now know who "i AM", because "I" now know who YOU are.

@ 3f770d65:7a745b24

The recent shutdown of TikTok in the United States due to a potential government ban serves as a stark reminder how fragile centralized platforms truly are under the surface. While these platforms offer convenience, a more polished user experience, and connectivity, they are ultimately beholden to governments, corporations, and other authorities. This makes them vulnerable to censorship, regulation, and outright bans. In contrast, Nostr represents a shift in how we approach online communication and content sharing. Built on the principles of decentralization and user choice, Nostr cannot be banned, because it is not a platform—it is a protocol.

PROTOCOLS, NOT PLATFORMS.

At the heart of Nostr's philosophy is user choice, a feature that fundamentally sets it apart from legacy platforms. In centralized systems, the user experience is dictated by a single person or governing entity. If the platform decides to filter, censor, or ban specific users or content, individuals are left with little action to rectify the situation. They must either accept the changes or abandon the platform entirely, often at the cost of losing their social connections, their data, and their identity.

What's happening with TikTok could never happen on Nostr. With Nostr, the dynamics are completely different. Because it is a protocol, not a platform, no single entity controls the ecosystem. Instead, the protocol enables a network of applications and relays that users can freely choose from. If a particular application or relay implements policies that a user disagrees with, such as censorship, filtering, or even government enforced banning, they are not trapped or abandoned. They have the freedom to move to another application or relay with minimal effort.

THIS IS POWERFUL.

Take, for example, the case of a relay that decides to censor specific content. On a legacy platform, this would result in frustration and a loss of access for users. On Nostr, however, users can simply connect to a different relay that does not impose such restrictions. Similarly, if an application introduces features or policies that users dislike, they can migrate to a different application that better suits their preferences, all while retaining their identity and social connections.

The same principles apply to government bans and censorship. A government can ban a specific application or even multiple applications, just as it can block one relay or several relays. China has implemented both tactics, yet Chinese users continue to exist and actively participate on Nostr, demonstrating Nostr's ability to resistant censorship.

How? Simply, it turns into a game of whack-a-mole. When one relay is censored, another quickly takes its place. When one application is banned, another emerges. Users can also bypass these obstacles by running their own relays and applications directly from their homes or personal devices, eliminating reliance on larger entities or organizations and ensuring continuous access.

AGAIN, THIS IS POWERUFL.

Nostr's open and decentralized design makes it resistant to the kinds of government intervention that led to TikTok's outages this weekend and potential future ban in the next 90 days. There is no central server to target, no company to regulate, and no single point of failure. (Insert your CEO jokes here). As long as there are individuals running relays and applications, users continue creating notes and sending zaps.

Platforms like TikTok can be silenced with the stroke of a pen, leaving millions of users disconnected and abandoned. Social communication should not be silenced so incredibly easily. No one should have that much power over social interactions.

Will we on-board a massive wave of TikTokers in the coming hours or days? I don't know.

TikTokers may not be ready for Nostr yet, and honestly, Nostr may not be ready for them either. The ecosystem still lacks the completely polished applications, tools, and services they’re accustomed to. This is where we say "we're still early". They may not be early adopters like the current Nostr user base. Until we bridge that gap, they’ll likely move to the next centralized platform, only to face another government ban or round of censorship in the future. But eventually, there will come a tipping point, a moment when they’ve had enough. When that time comes, I hope we’re prepared. If we’re not, we risk missing a tremendous opportunity to onboard people who genuinely need Nostr’s freedom.

Until then, to all of the Nostr developers out there, keep up the great work and keep building. Your hard work and determination is needed.

@ e6817453:b0ac3c39

Introduction: Personal Knowledge Graphs and Linked Data

We will explore the world of personal knowledge graphs and discuss how they can be used to model complex information structures. Personal knowledge graphs aren’t just abstract collections of nodes and edges—they encode meaningful relationships, contextualizing data in ways that enrich our understanding of it. While the core structure might be a directed graph, we layer semantic meaning on top, enabling nuanced connections between data points.

The origin of knowledge graphs is deeply tied to concepts from linked data and the semantic web, ideas that emerged to better link scattered pieces of information across the web. This approach created an infrastructure where data islands could connect — facilitating everything from more insightful AI to improved personal data management.

In this article, we will explore how these ideas have evolved into tools for modeling AI’s semantic memory and look at how knowledge graphs can serve as a flexible foundation for encoding rich data contexts. We’ll specifically discuss three major paradigms: RDF (Resource Description Framework), property graphs, and a third way of modeling entities as graphs of graphs. Let’s get started.

Intro to RDF

The Resource Description Framework (RDF) has been one of the fundamental standards for linked data and knowledge graphs. RDF allows data to be modeled as triples: subject, predicate, and object. Essentially, you can think of it as a structured way to describe relationships: “X has a Y called Z.” For instance, “Berlin has a population of 3.5 million.” This modeling approach is quite flexible because RDF uses unique identifiers — usually URIs — to point to data entities, making linking straightforward and coherent.

RDFS, or RDF Schema, extends RDF to provide a basic vocabulary to structure the data even more. This lets us describe not only individual nodes but also relationships among types of data entities, like defining a class hierarchy or setting properties. For example, you could say that “Berlin” is an instance of a “City” and that cities are types of “Geographical Entities.” This kind of organization helps establish semantic meaning within the graph.

RDF and Advanced Topics

Lists and Sets in RDF

RDF also provides tools to model more complex data structures such as lists and sets, enabling the grouping of nodes. This extension makes it easier to model more natural, human-like knowledge, for example, describing attributes of an entity that may have multiple values. By adding RDF Schema and OWL (Web Ontology Language), you gain even more expressive power — being able to define logical rules or even derive new relationships from existing data.

Graph of Graphs

A significant feature of RDF is the ability to form complex nested structures, often referred to as graphs of graphs. This allows you to create “named graphs,” essentially subgraphs that can be independently referenced. For example, you could create a named graph for a particular dataset describing Berlin and another for a different geographical area. Then, you could connect them, allowing for more modular and reusable knowledge modeling.

Property Graphs

While RDF provides a robust framework, it’s not always the easiest to work with due to its heavy reliance on linking everything explicitly. This is where property graphs come into play. Property graphs are less focused on linking everything through triples and allow more expressive properties directly within nodes and edges.

For example, instead of using triples to represent each detail, a property graph might let you store all properties about an entity (e.g., “Berlin”) directly in a single node. This makes property graphs more intuitive for many developers and engineers because they more closely resemble object-oriented structures: you have entities (nodes) that possess attributes (properties) and are connected to other entities through relationships (edges).

The significant benefit here is a condensed representation, which speeds up traversal and queries in some scenarios. However, this also introduces a trade-off: while property graphs are more straightforward to query and maintain, they lack some complex relationship modeling features RDF offers, particularly when connecting properties to each other.

Graph of Graphs and Subgraphs for Entity Modeling

A third approach — which takes elements from RDF and property graphs — involves modeling entities using subgraphs or nested graphs. In this model, each entity can be represented as a graph. This allows for a detailed and flexible description of attributes without exploding every detail into individual triples or lump them all together into properties.

For instance, consider a person entity with a complex employment history. Instead of representing every employment detail in one node (as in a property graph), or as several linked nodes (as in RDF), you can treat the employment history as a subgraph. This subgraph could then contain nodes for different jobs, each linked with specific properties and connections. This approach keeps the complexity where it belongs and provides better flexibility when new attributes or entities need to be added.

Hypergraphs and Metagraphs

When discussing more advanced forms of graphs, we encounter hypergraphs and metagraphs. These take the idea of relationships to a new level. A hypergraph allows an edge to connect more than two nodes, which is extremely useful when modeling scenarios where relationships aren’t just pairwise. For example, a “Project” could connect multiple “People,” “Resources,” and “Outcomes,” all in a single edge. This way, hypergraphs help in reducing the complexity of modeling high-order relationships.

Metagraphs, on the other hand, enable nodes and edges to themselves be represented as graphs. This is an extremely powerful feature when we consider the needs of artificial intelligence, as it allows for the modeling of relationships between relationships, an essential aspect for any system that needs to capture not just facts, but their interdependencies and contexts.

Balancing Structure and Properties

One of the recurring challenges when modeling knowledge is finding the balance between structure and properties. With RDF, you get high flexibility and standardization, but complexity can quickly escalate as you decompose everything into triples. Property graphs simplify the representation by using attributes but lose out on the depth of connection modeling. Meanwhile, the graph-of-graphs approach and hypergraphs offer advanced modeling capabilities at the cost of increased computational complexity.

So, how do you decide which model to use? It comes down to your use case. RDF and nested graphs are strong contenders if you need deep linkage and are working with highly variable data. For more straightforward, engineer-friendly modeling, property graphs shine. And when dealing with very complex multi-way relationships or meta-level knowledge, hypergraphs and metagraphs provide the necessary tools.

The key takeaway is that only some approaches are perfect. Instead, it’s all about the modeling goals: how do you want to query the graph, what relationships are meaningful, and how much complexity are you willing to manage?

Conclusion

Modeling AI semantic memory using knowledge graphs is a challenging but rewarding process. The different approaches — RDF, property graphs, and advanced graph modeling techniques like nested graphs and hypergraphs — each offer unique strengths and weaknesses. Whether you are building a personal knowledge graph or scaling up to AI that integrates multiple streams of linked data, it’s essential to understand the trade-offs each approach brings.

In the end, the choice of representation comes down to the nature of your data and your specific needs for querying and maintaining semantic relationships. The world of knowledge graphs is vast, with many tools and frameworks to explore. Stay connected and keep experimenting to find the balance that works for your projects.

@ da0b9bc3:4e30a4a9

It's Finally here Stackers!

It's Friday!

We're about to kick off our weekends with some feel good tracks.

Let's get the party started. Bring me those Feel Good tracks.

Talk Music. Share Tracks. Zap Sats.

Let's go!

Here's DMX! 🫡RIP.

https://youtu.be/thIVtEOtlWM?si=Ee4XXKe2ZDcWGpRN

originally posted at https://stacker.news/items/862396

@ cff1720e:15c7e2b2

Einleitung\ \ Schwierige Dinge einfach zu erklären ist der Anspruch von ELI5 (explain me like I'm 5). Das ist in unserer hoch technisierten Welt dringend erforderlich, denn nur mit dem Verständnis der Technologien können wir sie richtig einsetzen und weiter entwickeln.\ Ich starte meine Serie mit Nostr, einem relativ neuen Internet-Protokoll. Was zum Teufel ist ein Internet-Protokoll? Formal beschrieben sind es internationale Standards, die dafür sorgen, dass das Internet seit über 30 Jahren ziemlich gut funktioniert. Es ist die Sprache, in der sich die Rechner miteinander unterhalten und die auch Sie täglich nutzen, vermutlich ohne es bewusst wahrzunehmen. http(s) transportiert ihre Anfrage an einen Server (z.B. Amazon), und html sorgt dafür, dass aus den gelieferten Daten eine schöne Seite auf ihrem Bildschirm entsteht. Eine Mail wird mit smtp an den Mailserver gesendet und mit imap von ihm abgerufen, und da alle den Standard verwenden, funktioniert das mit jeder App auf jedem Betriebssystem und mit jedem Mail-Provider. Und mit einer Mail-Adresse wie roland@pareto.space können sie sogar jederzeit umziehen, egal wohin. Cool, das ist state of the art! Aber warum funktioniert das z.B. bei Chat nicht, gibt es da kein Protokoll? Doch, es heißt IRC (Internet Relay Chat → merken sie sich den Namen), aber es wird so gut wie nicht verwendet. Die Gründe dafür sind nicht technischer Natur, vielmehr wurden mit Apps wie Facebook, Twitter, WhatsApp, Telegram, Instagram, TikTok u.a. bewusst Inkompatibilitäten und Nutzerabhängigkeiten geschaffen um Profite zu maximieren.

Warum Nostr?

Da das Standard-Protokoll nicht genutzt wird, hat jede App ihr eigenes, und wir brauchen eine handvoll Apps um uns mit allen Bekannten auszutauschen. Eine Mobilfunknummer ist Voraussetzung für jedes Konto, damit können die App-Hersteller die Nutzer umfassend tracken und mit dem Verkauf der Informationen bis zu 30 USD je Konto und Monat verdienen. Der Nutzer ist nicht mehr Kunde, er ist das Produkt! Der Werbe-SPAM ist noch das kleinste Problem bei diesem Geschäftsmodell. Server mit Millionen von Nutzerdaten sind ein “honey pot”, dementsprechend oft werden sie gehackt und die Zugangsdaten verkauft. 2024 wurde auch der Twitter-Account vom damaligen Präsidenten Joe Biden gehackt, niemand wusste mehr wer die Nachrichten verfasst hat (vorher auch nicht), d.h. die Authentizität der Inhalte ist bei keinem dieser Anbieter gewährleistet. Im selben Jahr wurde der Telegram-Gründer in Frankreich in Beugehaft genommen, weil er sich geweigert hatte Hintertüren in seine Software einzubauen. Nun kann zum Schutz "unserer Demokratie” praktisch jeder mitlesen, was sie mit wem an Informationen austauschen, z.B. darüber welches Shampoo bestimmte Politiker verwenden. 

Und wer tatsächlich glaubt er könne Meinungsfreiheit auf sozialen Medien praktizieren, findet sich schnell in der Situation von Donald Trump wieder (seinerzeit amtierender Präsident), dem sein Twitter-Konto 2021 abgeschaltet wurde (Cancel-Culture). Die Nutzerdaten, also ihr Profil, ihre Kontakte, Dokumente, Bilder, Videos und Audiofiles - gehören ihnen ohnehin nicht mehr sondern sind Eigentum des Plattform-Betreibers; lesen sie sich mal die AGB's durch. Aber nein, keine gute Idee, das sind hunderte Seiten und sie werden permanent geändert. Alle nutzen also Apps, deren Technik sie nicht verstehen, deren Regeln sie nicht kennen, wo sie keine Rechte haben und die ihnen die Resultate ihres Handelns stehlen. Was würde wohl der Fünfjährige sagen, wenn ihm seine ältere Schwester anbieten würde, alle seine Spielzeuge zu “verwalten” und dann auszuhändigen wenn er brav ist? “Du spinnst wohl”, und damit beweist der Knirps mehr Vernunft als die Mehrzahl der Erwachsenen. \ \ Resümee: keine Standards, keine Daten, keine Rechte = keine Zukunft!

\ Wie funktioniert Nostr?

Die Entwickler von Nostr haben erkannt dass sich das Server-Client-Konzept in ein Master-Slave-Konzept verwandelt hatte. Der Master ist ein Synonym für Zentralisierung und wird zum “single point of failure”, der zwangsläufig Systeme dysfunktional macht. In einem verteilten Peer2Peer-System gibt es keine Master mehr sondern nur gleichberechtigte Knoten (Relays), auf denen die Informationen gespeichert werden. Indem man Informationen auf mehreren Relays redundant speichert, ist das System in jeglicher Hinsicht resilienter. Nicht nur die Natur verwendet dieses Prinzip seit Jahrmillionen erfolgreich, auch das Internet wurde so konzipiert (das ARPAnet wurde vom US-Militär für den Einsatz in Kriegsfällen unter massiven Störungen entwickelt). Alle Nostr-Daten liegen auf Relays und der Nutzer kann wählen zwischen öffentlichen (zumeist kostenlosen) und privaten Relays, z.B. für geschlossene Gruppen oder zum Zwecke von Daten-Archivierung. Da Dokumente auf mehreren Relays gespeichert sind, werden statt URL's (Locator) eindeutige Dokumentnamen (URI's = Identifier) verwendet, broken Links sind damit Vergangenheit und Löschungen / Verluste ebenfalls.\ \ Jedes Dokument (Event genannt) wird vom Besitzer signiert, es ist damit authentisch und fälschungssicher und kann nur vom Ersteller gelöscht werden. Dafür wird ein Schlüsselpaar verwendet bestehend aus privatem (nsec) und öffentlichem Schlüssel (npub) wie aus der Mailverschlüsselung (PGP) bekannt. Das repräsentiert eine Nostr-Identität, die um Bild, Namen, Bio und eine lesbare Nostr-Adresse ergänzt werden kann (z.B. roland@pareto.space ), mehr braucht es nicht um alle Ressourcen des Nostr-Ökosystems zu nutzen. Und das besteht inzwischen aus über hundert Apps mit unterschiedlichen Fokussierungen, z.B. für persönliche verschlüsselte Nachrichten (DM → OxChat), Kurznachrichten (Damus, Primal), Blogbeiträge (Pareto), Meetups (Joinstr), Gruppen (Groups), Bilder (Olas), Videos (Amethyst), Audio-Chat (Nostr Nests), Audio-Streams (Tunestr), Video-Streams (Zap.Stream), Marktplätze (Shopstr) u.v.a.m. Die Anmeldung erfolgt mit einem Klick (single sign on) und den Apps stehen ALLE Nutzerdaten zur Verfügung (Profil, Daten, Kontakte, Social Graph → Follower, Bookmarks, Comments, etc.), im Gegensatz zu den fragmentierten Datensilos der Gegenwart.\ \ Resümee: ein offener Standard, alle Daten, alle Rechte = große Zukunft!

\ Warum ist Nostr die Zukunft des Internet?

“Baue Dein Haus nicht auf einem fremden Grundstück” gilt auch im Internet - für alle App-Entwickler, Künstler, Journalisten und Nutzer, denn auch ihre Daten sind werthaltig. Nostr garantiert das Eigentum an den Daten, und überwindet ihre Fragmentierung. Weder die Nutzung noch die kreativen Freiheiten werden durch maßlose Lizenz- und Nutzungsbedingungen eingeschränkt. Aus passiven Nutzern werden durch Interaktion aktive Teilnehmer, Co-Creatoren in einer Sharing-Ökonomie (Value4Value). OpenSource schafft endlich wieder Vertrauen in die Software und ihre Anbieter. Offene Standards ermöglichen den Entwicklern mehr Kooperation und schnellere Entwicklung, für die Anwender garantieren sie Wahlfreiheit. Womit wir letztmalig zu unserem Fünfjährigen zurückkehren. Kinder lieben Lego über alles, am meisten die Maxi-Box “Classic”, weil sie damit ihre Phantasie im Kombinieren voll ausleben können. Erwachsene schenken ihnen dann die viel zu teuren Themenpakete, mit denen man nur eine Lösung nach Anleitung bauen kann. “Was stimmt nur mit meinen Eltern nicht, wann sind die denn falsch abgebogen?" fragt sich der Nachwuchs zu Recht. Das Image lässt sich aber wieder aufpolieren, wenn sie ihren Kindern Nostr zeigen, denn die Vorteile verstehen sogar Fünfjährige.

\ Das neue Internet ist dezentral. Das neue Internet ist selbstbestimmt. Nostr ist das neue Internet.

https://nostr.net/ \ https://start.njump.me/

Hier das Interview zum Thema mit Radio Berliner Morgenröte

https://www.podbean.com/ew/pb-yxc36-17bb4be

@ e6817453:b0ac3c39

The temporal semantics and temporal and time-aware knowledge graphs. We have different memory models for artificial intelligence agents. We all try to mimic somehow how the brain works, or at least how the declarative memory of the brain works. We have the split of episodic memory and semantic memory. And we also have a lot of theories, right?

Declarative Memory of the Human Brain

How is the semantic memory formed? We all know that our brain stores semantic memory quite close to the concept we have with the personal knowledge graphs, that it’s connected entities. They form a connection with each other and all those things. So far, so good. And actually, then we have a lot of concepts, how the episodic memory and our experiences gets transmitted to the semantic:

• hippocampus indexing and retrieval
• sanitization of episodic memories
• episodic-semantic shift theory

They all give a different perspective on how different parts of declarative memory cooperate.

We know that episodic memories get semanticized over time. You have semantic knowledge without the notion of time, and probably, your episodic memory is just decayed.

But, you know, it’s still an open question:

do we want to mimic an AI agent’s memory as a human brain memory, or do we want to create something different?

It’s an open question to which we have no good answer. And if you go to the theory of neuroscience and check how episodic and semantic memory interfere, you will still find a lot of theories, yeah?

Some of them say that you have the hippocampus that keeps the indexes of the memory. Some others will say that you semantic the episodic memory. Some others say that you have some separate process that digests the episodic and experience to the semantics. But all of them agree on the plan that it’s operationally two separate areas of memories and even two separate regions of brain, and the semantic, it’s more, let’s say, protected.

So it’s harder to forget the semantical facts than the episodes and everything. And what I’m thinking about for a long time, it’s this, you know, the semantic memory.

Temporal Semantics

It’s memory about the facts, but you somehow mix the time information with the semantics. I already described a lot of things, including how we could combine time with knowledge graphs and how people do it.

There are multiple ways we could persist such information, but we all hit the wall because the complexity of time and the semantics of time are highly complex concepts.

Time in a Semantic context is not a timestamp.

What I mean is that when you have a fact, and you just mentioned that I was there at this particular moment, like, I don’t know, 15:40 on Monday, it’s already awake because we don’t know which Monday, right? So you need to give the exact date, but usually, you do not have experiences like that.

You do not record your memories like that, except you do the journaling and all of the things. So, usually, you have no direct time references. What I mean is that you could say that I was there and it was some event, blah, blah, blah.

Somehow, we form a chain of events that connect with each other and maybe will be connected to some period of time if we are lucky enough. This means that we could not easily represent temporal-aware information as just a timestamp or validity and all of the things.

For sure, the validity of the knowledge graphs (simple quintuple with start and end dates)is a big topic, and it could solve a lot of things. It could solve a lot of the time cases. It’s super simple because you give the end and start dates, and you are done, but it does not answer facts that have a relative time or time information in facts . It could solve many use cases but struggle with facts in an indirect temporal context. I like the simplicity of this idea. But the problem of this approach that in most cases, we simply don’t have these timestamps. We don’t have the timestamp where this information starts and ends. And it’s not modeling many events in our life, especially if you have the processes or ongoing activities or recurrent events.

I’m more about thinking about the time of semantics, where you have a time model as a hybrid clock or some global clock that does the partial ordering of the events. It’s mean that you have the chain of the experiences and you have the chain of the facts that have the different time contexts.

We could deduct the time from this chain of the events. But it’s a big, big topic for the research. But what I want to achieve, actually, it’s not separation on episodic and semantic memory. It’s having something in between.

Blockchain of connected events and facts

I call it temporal-aware semantics or time-aware knowledge graphs, where we could encode the semantic fact together with the time component.I doubt that time should be the simple timestamp or the region of the two timestamps. For me, it is more a chain for facts that have a partial order and form a blockchain like a database or a partially ordered Acyclic graph of facts that are temporally connected. We could have some notion of time that is understandable to the agent and a model that allows us to order the events and focus on what the agent knows and how to order this time knowledge and create the chains of the events.

Time anchors

We may have a particular time in the chain that allows us to arrange a more concrete time for the rest of the events. But it’s still an open topic for research. The temporal semantics gets split into a couple of domains. One domain is how to add time to the knowledge graphs. We already have many different solutions. I described them in my previous articles.

Another domain is the agent's memory and how the memory of the artificial intelligence treats the time. This one, it’s much more complex. Because here, we could not operate with the simple timestamps. We need to have the representation of time that are understandable by model and understandable by the agent that will work with this model. And this one, it’s way bigger topic for the research.”

@ 43b8cd49:3e4a7831

Wow, that didn't take long. Trump shot his wad on day one with all the executive orders, and they figured it was time to return to the Dr. Evil/Mordor stuff on day 2. Soften us up with 24 hours of heavy petting then bring in Larry Ellison to shock us back into hell. That is one scary looking dude, and listening to him talk just makes it worse. I am trying to erase it from my memory.

You just know this Stargate thing is tied to Bill Gates, since it concerns vaccines. But Trump and histeam begged Gates to keep his ugly mug out of it, knowing how hated he is. Hard to believe Biden didn't pardon him for being alive. Gates apparently agreed to stay off-camera for this one, and they brought in Ellison to take his place. Another big miscalculation, since Ellison gives off the very same Dr. Evil vibe. You feel bugs crawling on your skin as soon as he walks in the room.

Part of that is Ellison and part is the new Stargate project, which just reeks of evil from every pore. To his credit, Alex Jones is already calling it out, having Malone on to undercut it, but so far the commentary has been way too weak. This is a catastrophe, worse than anything I imagined, and thrust upon us much quicker than I thought they would dare. Effing day 2 they hit us with this, meaning their respect for us is still zero.

Also not good is that after hitting this weakly yesterday, Alex Jones has already dropped it today, reverting immediately to Trump-olatry. Five of Infowars eight lead stories today are selling Trump as a savior. Zerohedge seems to be all bullish so far on Stargate.

If you don't know, the Stargate project is supposedly a billionaire-funded plan to join AI and mRNA vaccines to cure cancer. AI will spot specific cancer markers in the blood, after which the doctors will create a targeted vaccine in 48 hours, built just for you. What does that have to do with a Stargate? No one has said yet, though I am about to tell you. Plus, didn't Trump campaign on a promise to protect us from the Big Tech monsters? And yet here we are, day 2, and he is announcing major promotion of them and alliance with them. He was supposed to take on the Big Tech juggernaut and the Big Pharma juggernaut, right? Instead, we see them joining forces and Trump climbing into bed with them. The only way things could have gotten worse after Biden is if Big Tech and Big Pharma merged, and that has just happened, with Trump's immediate backing. This is total bullshit in every way, and it isn't even a good story. It is a transparent conjob that any child could spot in about 30 seconds. They have been able to scan blood for all content for a long time, including cancer cells, so I don't know what this has to do with AI. Basically they are just renaming “the medical machines we have long had” as AI and expecting you to buy it. It is just a machine, it isn't AI. Every machine isn't now “artificial intelligence”. But they included AI here as part of the current AI blitz. Everything is currently about AI because they want government to invest even more heavily in it that it already is. Meaning, they want to steal even more of your taxes or borrow from the treasury in order to fund this vaporware and boondoggle. We are told the bigdogs have already invested half a trillion of their own money, but if you believe that you need to check your ventilator tubes for kinks. The obvious con is to get the government to supply matching funds. The billionaires will then quietly stop payment on their checks, and it will all come out of your pocket. That is the way it is always done. You will end up getting billed for something they will never deliver, and if they do deliver anything it will be just another useless shot.

As with the fake Covid vaccine, they won't charge people for the shot or therapy, they will take it directly out of the treasury, so you can't stop it even if you don't buy it. Youwill be billed for it regardless. As with the Covid vaccines in the past three years, the government will order millions of doses of it, pay Big Pharma for it from your taxes, and then have to end up trashing the majority of it, because no one wants it. Just flush it all into the streams and oceans, where it can kill the fish, animals, and if they are lucky, you as well.

But I was going to tell you why they called this conjob Stargate. A stargate is a wormhole or otheralien device for communicating or traveling long distances in the galaxy. The black monolith in 2001: a Space Odyssey was a stargate; and then there was the movie Stargate in 1994 with Kurt Russell, where the stargate allows him to travel to the alien planet Abydos, named after the Egyptian town of Abydos, which houses some Pharaonic tombs, including the Temple of Seti I. That is where the Abydos King List is, which lists the 76 Kings of Ancient Egypt. So not only are these people like Ellison selling you the wormhole garbage along with the AI and vaccine garbage, they are cleverly linking themselves to their own oldest ancestors with the usual tribal wink.

@ a39d19ec:3d88f61e

A state-controlled money supply can influence the development of socialist policies and practices in various ways. Although the relationship is not deterministic, state control over the money supply can contribute to a larger role of the state in the economy and facilitate the implementation of socialist ideals.

Fiscal Policy Capabilities

When the state manages the money supply, it gains the ability to implement fiscal policies that can lead to an expansion of social programs and welfare initiatives. Funding these programs by creating money can enhance the state's influence over the economy and move it closer to a socialist model. The Soviet Union, for instance, had a centralized banking system that enabled the state to fund massive industrialization and social programs, significantly expanding the state's role in the economy.

Wealth Redistribution

Controlling the money supply can also allow the state to influence economic inequality through monetary policies, effectively redistributing wealth and reducing income disparities. By implementing low-interest loans or providing financial assistance to disadvantaged groups, the state can narrow the wealth gap and promote social equality, as seen in many European welfare states.

Central Planning

A state-controlled money supply can contribute to increased central planning, as the state gains more influence over the economy. Central banks, which are state-owned or heavily influenced by the state, play a crucial role in managing the money supply and facilitating central planning. This aligns with socialist principles that advocate for a planned economy where resources are allocated according to social needs rather than market forces.

Incentives for Staff

Staff members working in state institutions responsible for managing the money supply have various incentives to keep the system going. These incentives include job security, professional expertise and reputation, political alignment, regulatory capture, institutional inertia, and legal and administrative barriers. While these factors can differ among individuals, they can collectively contribute to the persistence of a state-controlled money supply system.

In conclusion, a state-controlled money supply can facilitate the development of socialist policies and practices by enabling fiscal policies, wealth redistribution, and central planning. The staff responsible for managing the money supply have diverse incentives to maintain the system, further ensuring its continuation. However, it is essential to note that many factors influence the trajectory of an economic system, and the relationship between state control over the money supply and socialism is not inevitable.

@ a39d19ec:3d88f61e

This week's functional 3d print is the "Dino Clip".

Dino Clip

I printed it some years ago for my son, so he would have his own clip for cereal bags.

Now it is used to hold a bag of dog food close.

The design by "Sneaks" is a so called "print in place". This means that the whole clip with moving parts is printed in one part, without the need for assembly after the print. The clip is very strong, and I would print it again if I need a "heavy duty" clip for more rigid or big bags. Link to the file at Printables

@ f9cf4e94:96abc355

Para esse exemplo iremos usar: | Nome | Imagem | Descrição | | --------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | | Raspberry PI B+ | | Cortex-A53 (ARMv8) 64-bit a 1.4GHz e 1 GB de SDRAM LPDDR2, | | Pen drive | | 16Gb |

Recomendo que use o Ubuntu Server para essa instalação. Você pode baixar o Ubuntu para Raspberry Pi aqui. O passo a passo para a instalação do Ubuntu no Raspberry Pi está disponível aqui. Não instale um desktop (como xubuntu, lubuntu, xfce, etc.).

---

Passo 1: Atualizar o Sistema 🖥️

Primeiro, atualize seu sistema e instale o Tor:

bash apt update apt install tor

---

Passo 2: Criar o Arquivo de Serviço nrs.service 🔧

Crie o arquivo de serviço que vai gerenciar o servidor Nostr. Você pode fazer isso com o seguinte conteúdo:

```unit [Unit] Description=Nostr Relay Server Service After=network.target

[Service] Type=simple WorkingDirectory=/opt/nrs ExecStart=/opt/nrs/nrs-arm64 Restart=on-failure

[Install] WantedBy=multi-user.target ```

---

Passo 3: Baixar o Binário do Nostr 🚀

Baixe o binário mais recente do Nostr aqui no GitHub.

---

Passo 4: Criar as Pastas Necessárias 📂

Agora, crie as pastas para o aplicativo e o pendrive:

bash mkdir -p /opt/nrs /mnt/edriver

---

Passo 5: Listar os Dispositivos Conectados 🔌

Para saber qual dispositivo você vai usar, liste todos os dispositivos conectados:

bash lsblk

---

Passo 6: Formatando o Pendrive 💾

Escolha o pendrive correto (por exemplo, /dev/sda) e formate-o:

bash mkfs.vfat /dev/sda

---

Passo 7: Montar o Pendrive 💻

Monte o pendrive na pasta /mnt/edriver:

bash mount /dev/sda /mnt/edriver

---

Passo 8: Verificar UUID dos Dispositivos 📋

Para garantir que o sistema monte o pendrive automaticamente, liste os UUID dos dispositivos conectados:

bash blkid

---

Passo 9: Alterar o fstab para Montar o Pendrive Automáticamente 📝

Abra o arquivo /etc/fstab e adicione uma linha para o pendrive, com o UUID que você obteve no passo anterior. A linha deve ficar assim:

fstab UUID=9c9008f8-f852 /mnt/edriver vfat defaults 0 0

---

Passo 10: Copiar o Binário para a Pasta Correta 📥

Agora, copie o binário baixado para a pasta /opt/nrs:

bash cp nrs-arm64 /opt/nrs

---

Passo 11: Criar o Arquivo de Configuração 🛠️

Crie o arquivo de configuração com o seguinte conteúdo e salve-o em /opt/nrs/config.yaml:

yaml app_env: production info: name: Nostr Relay Server description: Nostr Relay Server pub_key: "" contact: "" url: http://localhost:3334 icon: https://external-content.duckduckgo.com/iu/?u= https://public.bnbstatic.com/image/cms/crawler/COINCU_NEWS/image-495-1024x569.png base_path: /mnt/edriver negentropy: true

---

Passo 12: Copiar o Serviço para o Diretório de Systemd ⚙️

Agora, copie o arquivo nrs.service para o diretório /etc/systemd/system/:

bash cp nrs.service /etc/systemd/system/

Recarregue os serviços e inicie o serviço nrs:

bash systemctl daemon-reload systemctl enable --now nrs.service

---

Passo 13: Configurar o Tor 🌐

Abra o arquivo de configuração do Tor /var/lib/tor/torrc e adicione a seguinte linha:

torrc HiddenServiceDir /var/lib/tor/nostr_server/ HiddenServicePort 80 127.0.0.1:3334

---

Passo 14: Habilitar e Iniciar o Tor 🧅

Agora, ative e inicie o serviço Tor:

bash systemctl enable --now tor.service

O Tor irá gerar um endereço .onion para o seu servidor Nostr. Você pode encontrá-lo no arquivo /var/lib/tor/nostr_server/hostname.

---

Observações ⚠️

• Com essa configuração, os dados serão salvos no pendrive, enquanto o binário ficará no cartão SD do Raspberry Pi.
• O endereço .onion do seu servidor Nostr será algo como: ws://y3t5t5wgwjif<exemplo>h42zy7ih6iwbyd.onion.

---

Agora, seu servidor Nostr deve estar configurado e funcionando com Tor! 🥳

Se este artigo e as informações aqui contidas forem úteis para você, convidamos a considerar uma doação ao autor como forma de reconhecimento e incentivo à produção de novos conteúdos.

@ a367f9eb:0633efea

Last week, an investigation by Reuters revealed that Chinese researchers have been using open-source AI tools to build nefarious-sounding models that may have some military application.

The reporting purports that adversaries in the Chinese Communist Party and its military wing are taking advantage of the liberal software licensing of American innovations in the AI space, which could someday have capabilities to presumably harm the United States.

In a June paper reviewed by Reuters, six Chinese researchers from three institutions, including two under the People’s Liberation Army’s (PLA) leading research body, the Academy of Military Science (AMS), detailed how they had used an early version of Meta’s Llama as a base for what it calls “ChatBIT”.

The researchers used an earlier Llama 13B large language model (LLM) from Meta, incorporating their own parameters to construct a military-focused AI tool to gather and process intelligence, and offer accurate and reliable information for operational decision-making.

While I’m doubtful that today’s existing chatbot-like tools will be the ultimate battlefield for a new geopolitical war (queue up the computer-simulated war from the Star Trek episode “A Taste of Armageddon“), this recent exposé requires us to revisit why large language models are released as open-source code in the first place.

Added to that, should it matter that an adversary is having a poke around and may ultimately use them for some purpose we may not like, whether that be China, Russia, North Korea, or Iran?

The number of open-source AI LLMs continues to grow each day, with projects like Vicuna, LLaMA, BLOOMB, Falcon, and Mistral available for download. In fact, there are over one million open-source LLMs available as of writing this post. With some decent hardware, every global citizen can download these codebases and run them on their computer.

With regard to this specific story, we could assume it to be a selective leak by a competitor of Meta which created the LLaMA model, intended to harm its reputation among those with cybersecurity and national security credentials. There are potentially trillions of dollars on the line.

Or it could be the revelation of something more sinister happening in the military-sponsored labs of Chinese hackers who have already been caught attacking American infrastructure, data, and yes, your credit history?

As consumer advocates who believe in the necessity of liberal democracies to safeguard our liberties against authoritarianism, we should absolutely remain skeptical when it comes to the communist regime in Beijing. We’ve written as much many times.

At the same time, however, we should not subrogate our own critical thinking and principles because it suits a convenient narrative.

Consumers of all stripes deserve technological freedom, and innovators should be free to provide that to us. And open-source software has provided the very foundations for all of this.

Open-source matters When we discuss open-source software and code, what we’re really talking about is the ability for people other than the creators to use it.

The various licensing schemes – ranging from GNU General Public License (GPL) to the MIT License and various public domain classifications – determine whether other people can use the code, edit it to their liking, and run it on their machine. Some licenses even allow you to monetize the modifications you’ve made.

While many different types of software will be fully licensed and made proprietary, restricting or even penalizing those who attempt to use it on their own, many developers have created software intended to be released to the public. This allows multiple contributors to add to the codebase and to make changes to improve it for public benefit.

Open-source software matters because anyone, anywhere can download and run the code on their own. They can also modify it, edit it, and tailor it to their specific need. The code is intended to be shared and built upon not because of some altruistic belief, but rather to make it accessible for everyone and create a broad base. This is how we create standards for technologies that provide the ground floor for further tinkering to deliver value to consumers.

Open-source libraries create the building blocks that decrease the hassle and cost of building a new web platform, smartphone, or even a computer language. They distribute common code that can be built upon, assuring interoperability and setting standards for all of our devices and technologies to talk to each other.

I am myself a proponent of open-source software. The server I run in my home has dozens of dockerized applications sourced directly from open-source contributors on GitHub and DockerHub. When there are versions or adaptations that I don’t like, I can pick and choose which I prefer. I can even make comments or add edits if I’ve found a better way for them to run.

Whether you know it or not, many of you run the Linux operating system as the base for your Macbook or any other computer and use all kinds of web tools that have active repositories forked or modified by open-source contributors online. This code is auditable by everyone and can be scrutinized or reviewed by whoever wants to (even AI bots).

This is the same software that runs your airlines, powers the farms that deliver your food, and supports the entire global monetary system. The code of the first decentralized cryptocurrency Bitcoin is also open-source, which has allowed thousands of copycat protocols that have revolutionized how we view money.

You know what else is open-source and available for everyone to use, modify, and build upon?

PHP, Mozilla Firefox, LibreOffice, MySQL, Python, Git, Docker, and WordPress. All protocols and languages that power the web. Friend or foe alike, anyone can download these pieces of software and run them how they see fit.

Open-source code is speech, and it is knowledge.

We build upon it to make information and technology accessible. Attempts to curb open-source, therefore, amount to restricting speech and knowledge.

Open-source is for your friends, and enemies In the context of Artificial Intelligence, many different developers and companies have chosen to take their large language models and make them available via an open-source license.

At this very moment, you can click on over to Hugging Face, download an AI model, and build a chatbot or scripting machine suited to your needs. All for free (as long as you have the power and bandwidth).

Thousands of companies in the AI sector are doing this at this very moment, discovering ways of building on top of open-source models to develop new apps, tools, and services to offer to companies and individuals. It’s how many different applications are coming to life and thousands more jobs are being created.

We know this can be useful to friends, but what about enemies?

As the AI wars heat up between liberal democracies like the US, the UK, and (sluggishly) the European Union, we know that authoritarian adversaries like the CCP and Russia are building their own applications.

The fear that China will use open-source US models to create some kind of military application is a clear and present danger for many political and national security researchers, as well as politicians.

A bipartisan group of US House lawmakers want to put export controls on AI models, as well as block foreign access to US cloud servers that may be hosting AI software.

If this seems familiar, we should also remember that the US government once classified cryptography and encryption as “munitions” that could not be exported to other countries (see The Crypto Wars). Many of the arguments we hear today were invoked by some of the same people as back then.

Now, encryption protocols are the gold standard for many different banking and web services, messaging, and all kinds of electronic communication. We expect our friends to use it, and our foes as well. Because code is knowledge and speech, we know how to evaluate it and respond if we need to.

Regardless of who uses open-source AI, this is how we should view it today. These are merely tools that people will use for good or ill. It’s up to governments to determine how best to stop illiberal or nefarious uses that harm us, rather than try to outlaw or restrict building of free and open software in the first place.

Limiting open-source threatens our own advancement If we set out to restrict and limit our ability to create and share open-source code, no matter who uses it, that would be tantamount to imposing censorship. There must be another way.

If there is a “Hundred Year Marathon” between the United States and liberal democracies on one side and autocracies like the Chinese Communist Party on the other, this is not something that will be won or lost based on software licenses. We need as much competition as possible.

The Chinese military has been building up its capabilities with trillions of dollars’ worth of investments that span far beyond AI chatbots and skip logic protocols.

The theft of intellectual property at factories in Shenzhen, or in US courts by third-party litigation funding coming from China, is very real and will have serious economic consequences. It may even change the balance of power if our economies and countries turn to war footing.

But these are separate issues from the ability of free people to create and share open-source code which we can all benefit from. In fact, if we want to continue our way our life and continue to add to global productivity and growth, it’s demanded that we defend open-source.

If liberal democracies want to compete with our global adversaries, it will not be done by reducing the freedoms of citizens in our own countries.

Last week, an investigation by Reuters revealed that Chinese researchers have been using open-source AI tools to build nefarious-sounding models that may have some military application.

The reporting purports that adversaries in the Chinese Communist Party and its military wing are taking advantage of the liberal software licensing of American innovations in the AI space, which could someday have capabilities to presumably harm the United States.

In a June paper reviewed by Reuters, six Chinese researchers from three institutions, including two under the People’s Liberation Army’s (PLA) leading research body, the Academy of Military Science (AMS), detailed how they had used an early version of Meta’s Llama as a base for what it calls “ChatBIT”.

The researchers used an earlier Llama 13B large language model (LLM) from Meta, incorporating their own parameters to construct a military-focused AI tool to gather and process intelligence, and offer accurate and reliable information for operational decision-making.

While I’m doubtful that today’s existing chatbot-like tools will be the ultimate battlefield for a new geopolitical war (queue up the computer-simulated war from the Star Trek episode “A Taste of Armageddon“), this recent exposé requires us to revisit why large language models are released as open-source code in the first place.

Added to that, should it matter that an adversary is having a poke around and may ultimately use them for some purpose we may not like, whether that be China, Russia, North Korea, or Iran?

The number of open-source AI LLMs continues to grow each day, with projects like Vicuna, LLaMA, BLOOMB, Falcon, and Mistral available for download. In fact, there are over one million open-source LLMs available as of writing this post. With some decent hardware, every global citizen can download these codebases and run them on their computer.

With regard to this specific story, we could assume it to be a selective leak by a competitor of Meta which created the LLaMA model, intended to harm its reputation among those with cybersecurity and national security credentials. There are potentially trillions of dollars on the line.

Or it could be the revelation of something more sinister happening in the military-sponsored labs of Chinese hackers who have already been caught attacking American infrastructure, data, and yes, your credit history?

As consumer advocates who believe in the necessity of liberal democracies to safeguard our liberties against authoritarianism, we should absolutely remain skeptical when it comes to the communist regime in Beijing. We’ve written as much many times.

At the same time, however, we should not subrogate our own critical thinking and principles because it suits a convenient narrative.

Consumers of all stripes deserve technological freedom, and innovators should be free to provide that to us. And open-source software has provided the very foundations for all of this.

Open-source matters

When we discuss open-source software and code, what we’re really talking about is the ability for people other than the creators to use it.

The various licensing schemes – ranging from GNU General Public License (GPL) to the MIT License and various public domain classifications – determine whether other people can use the code, edit it to their liking, and run it on their machine. Some licenses even allow you to monetize the modifications you’ve made.

While many different types of software will be fully licensed and made proprietary, restricting or even penalizing those who attempt to use it on their own, many developers have created software intended to be released to the public. This allows multiple contributors to add to the codebase and to make changes to improve it for public benefit.

Open-source software matters because anyone, anywhere can download and run the code on their own. They can also modify it, edit it, and tailor it to their specific need. The code is intended to be shared and built upon not because of some altruistic belief, but rather to make it accessible for everyone and create a broad base. This is how we create standards for technologies that provide the ground floor for further tinkering to deliver value to consumers.

Open-source libraries create the building blocks that decrease the hassle and cost of building a new web platform, smartphone, or even a computer language. They distribute common code that can be built upon, assuring interoperability and setting standards for all of our devices and technologies to talk to each other.

I am myself a proponent of open-source software. The server I run in my home has dozens of dockerized applications sourced directly from open-source contributors on GitHub and DockerHub. When there are versions or adaptations that I don’t like, I can pick and choose which I prefer. I can even make comments or add edits if I’ve found a better way for them to run.

Whether you know it or not, many of you run the Linux operating system as the base for your Macbook or any other computer and use all kinds of web tools that have active repositories forked or modified by open-source contributors online. This code is auditable by everyone and can be scrutinized or reviewed by whoever wants to (even AI bots).

This is the same software that runs your airlines, powers the farms that deliver your food, and supports the entire global monetary system. The code of the first decentralized cryptocurrency Bitcoin is also open-source, which has allowed thousands of copycat protocols that have revolutionized how we view money.

You know what else is open-source and available for everyone to use, modify, and build upon?

PHP, Mozilla Firefox, LibreOffice, MySQL, Python, Git, Docker, and WordPress. All protocols and languages that power the web. Friend or foe alike, anyone can download these pieces of software and run them how they see fit.

Open-source code is speech, and it is knowledge.

We build upon it to make information and technology accessible. Attempts to curb open-source, therefore, amount to restricting speech and knowledge.

Open-source is for your friends, and enemies

In the context of Artificial Intelligence, many different developers and companies have chosen to take their large language models and make them available via an open-source license.

At this very moment, you can click on over to Hugging Face, download an AI model, and build a chatbot or scripting machine suited to your needs. All for free (as long as you have the power and bandwidth).

Thousands of companies in the AI sector are doing this at this very moment, discovering ways of building on top of open-source models to develop new apps, tools, and services to offer to companies and individuals. It’s how many different applications are coming to life and thousands more jobs are being created.

We know this can be useful to friends, but what about enemies?

As the AI wars heat up between liberal democracies like the US, the UK, and (sluggishly) the European Union, we know that authoritarian adversaries like the CCP and Russia are building their own applications.

The fear that China will use open-source US models to create some kind of military application is a clear and present danger for many political and national security researchers, as well as politicians.

A bipartisan group of US House lawmakers want to put export controls on AI models, as well as block foreign access to US cloud servers that may be hosting AI software.

If this seems familiar, we should also remember that the US government once classified cryptography and encryption as “munitions” that could not be exported to other countries (see The Crypto Wars). Many of the arguments we hear today were invoked by some of the same people as back then.

Now, encryption protocols are the gold standard for many different banking and web services, messaging, and all kinds of electronic communication. We expect our friends to use it, and our foes as well. Because code is knowledge and speech, we know how to evaluate it and respond if we need to.

Regardless of who uses open-source AI, this is how we should view it today. These are merely tools that people will use for good or ill. It’s up to governments to determine how best to stop illiberal or nefarious uses that harm us, rather than try to outlaw or restrict building of free and open software in the first place.

Limiting open-source threatens our own advancement

If we set out to restrict and limit our ability to create and share open-source code, no matter who uses it, that would be tantamount to imposing censorship. There must be another way.

If there is a “Hundred Year Marathon” between the United States and liberal democracies on one side and autocracies like the Chinese Communist Party on the other, this is not something that will be won or lost based on software licenses. We need as much competition as possible.

The Chinese military has been building up its capabilities with trillions of dollars’ worth of investments that span far beyond AI chatbots and skip logic protocols.

The theft of intellectual property at factories in Shenzhen, or in US courts by third-party litigation funding coming from China, is very real and will have serious economic consequences. It may even change the balance of power if our economies and countries turn to war footing.

But these are separate issues from the ability of free people to create and share open-source code which we can all benefit from. In fact, if we want to continue our way our life and continue to add to global productivity and growth, it’s demanded that we defend open-source.

If liberal democracies want to compete with our global adversaries, it will not be done by reducing the freedoms of citizens in our own countries.

Originally published on the website of the Consumer Choice Center.

@ 09fbf8f3:fa3d60f0

> ### 第三方API合集：

免责申明:

在此推荐的 OpenAI API Key 由第三方代理商提供，所以我们不对 API Key 的 有效性 和 安全性 负责，请你自行承担购买和使用 API Key 的风险。

| 服务商 | 特性说明 | Proxy 代理地址 | 链接 | | --- | --- | --- | --- | | AiHubMix | 使用 OpenAI 企业接口，全站模型价格为官方 86 折（含 GPT-4 ）| https://aihubmix.com/v1 | 官网 | | OpenAI-HK | OpenAI的API官方计费模式为，按每次API请求内容和返回内容tokens长度来定价。每个模型具有不同的计价方式，以每1,000个tokens消耗为单位定价。其中1,000个tokens约为750个英文单词（约400汉字）| https://api.openai-hk.com/ | 官网 | | CloseAI | CloseAI是国内规模最大的商用级OpenAI代理平台，也是国内第一家专业OpenAI中转服务，定位于企业级商用需求，面向企业客户的线上服务提供高质量稳定的官方OpenAI API 中转代理，是百余家企业和多家科研机构的专用合作平台。 | https://api.openai-proxy.org | 官网 | | OpenAI-SB | 需要配合Telegram 获取api key | https://api.openai-sb.com | 官网 |

持续更新。。。

---

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价格低至1元。

@ 4c48cf05:07f52b80

I believe that five years from now, access to artificial intelligence will be akin to what access to the Internet represents today. It will be the greatest differentiator between the haves and have nots. Unequal access to artificial intelligence will exacerbate societal inequalities and limit opportunities for those without access to it.

Back in April, the AI Index Steering Committee at the Institute for Human-Centered AI from Stanford University released The AI Index 2024 Annual Report.

Out of the extensive report (502 pages), I chose to focus on the chapter dedicated to Public Opinion. People involved with AI live in a bubble. We all know and understand AI and therefore assume that everyone else does. But, is that really the case once you step out of your regular circles in Seattle or Silicon Valley and hit Main Street?

Two thirds of global respondents have a good understanding of what AI is

The exact number is 67%. My gut feeling is that this number is way too high to be realistic. At the same time, 63% of respondents are aware of ChatGPT so maybe people are confounding AI with ChatGPT?

If so, there is so much more that they won't see coming.

This number is important because you need to see every other questions and response of the survey through the lens of a respondent who believes to have a good understanding of what AI is.

A majority are nervous about AI products and services

52% of global respondents are nervous about products and services that use AI. Leading the pack are Australians at 69% and the least worried are Japanise at 23%. U.S.A. is up there at the top at 63%.

Japan is truly an outlier, with most countries moving between 40% and 60%.

Personal data is the clear victim

Exaclty half of the respondents believe that AI companies will protect their personal data. And the other half believes they won't.

Expected benefits

Again a majority of people (57%) think that it will change how they do their jobs. As for impact on your life, top hitters are getting things done faster (54%) and more entertainment options (51%).

The last one is a head scratcher for me. Are people looking forward to AI generated movies?

Concerns

Remember the 57% that thought that AI will change how they do their jobs? Well, it looks like 37% of them expect to lose it. Whether or not this is what will happen, that is a very high number of people who have a direct incentive to oppose AI.

Other key concerns include:

• Misuse for nefarious purposes: 49%
• Violation of citizens' privacy: 45%

Conclusion

This is the first time I come across this report and I wil make sure to follow future annual reports to see how these trends evolve.

Overall, people are worried about AI. There are many things that could go wrong and people perceive that both jobs and privacy are on the line.

---

Full citation: Nestor Maslej, Loredana Fattorini, Raymond Perrault, Vanessa Parli, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, and Jack Clark, “The AI Index 2024 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2024.

The AI Index 2024 Annual Report by Stanford University is licensed under Attribution-NoDerivatives 4.0 International.

@ a10260a2:caa23e3e

Last Updated: January 11, 2025

This article is based on a note I posted over a year ago. I kept finding great podcasts and realized that a long form note would make sense since it'll essentially be reposted in the feed every time an update is made.

While there are many good privacy resources out there, this list will focus on episodes from CITADEL DISPATCH. The rabbit hole is deep and never-ending; my hope is that this will spark your curiosity and compel you to search for more.

Why should you care? ODELL explains that here.

If you're ready, here are the privacy-related dispatches. Hour and hours of signal from ODELL and his guests. Enjoy. 🫡

• CD2: Privacy, Nodes, and No KYC with ErgoBTC & BitcoinQ_A — https://fountain.fm/episode/ssPqjTOzHjWSRiYN5rP6
• CD15: bitcoin privacy and coinjoin with nopara73 and openoms — https://fountain.fm/episode/akzlPBM5XWZgPWa2iXCN
• CD16: bitcoin privacy and coinjoin with chris belcher and waxwing — https://fountain.fm/episode/hBcMSmraUUxVlZzBv5V1
• CD21: the lightning network and bitcoin privacy with openoms and cycryptr — https://fountain.fm/episode/vo0LpZOxGiDWIXc8wQf2
• CD29: bitcoin privacy and security with craigraw and ketominer — https://fountain.fm/episode/wNowMP7zxD25kKMLCU4r
• CD30: bitcoin privacy and the danger of KYC with samouraiwallet and openoms — https://fountain.fm/episode/AoIhaVfVHG55gEJOlEiH
• CD43: bitcoin for beginners with BitcoinQ_A— https://fountain.fm/episode/Foh3ImV2fZYPvg2QgNA4

I've also created a Fountain playlist which can be found here. One benefit of the playlist is that you can easily share the group of episodes in its entirety.

@ dc4cd086:cee77c06

Have you ever wanted to learn from lengthy educational videos but found it challenging to navigate through hours of content? Our new tool addresses this problem by transforming long-form video lectures into easily digestible, searchable content.

Key Features:

Video Processing:

• Automatically downloads YouTube videos, transcripts, and chapter information
• Splits transcripts into sections based on video chapters

Content Summarization:

• Utilizes language models to transform spoken content into clear, readable text
• Formats output in AsciiDoc for improved readability and navigation
• Highlights key terms and concepts with [[term]] notation for potential cross-referencing

Diagram Extraction:

• Analyzes video entropy to identify static diagram/slide sections
• Provides a user-friendly GUI for manual selection of relevant time ranges
• Allows users to pick representative frames from selected ranges

Going Forward:

Currently undergoing a rewrite to improve organization and functionality, but you are welcome to try the current version, though it might not work on every machine. Will support multiple open and closed language models for user choice Free and open-source, allowing for personal customization and integration with various knowledge bases. Just because we might not have it on our official Alexandria knowledge base, you are still welcome to use it on you own personal or community knowledge bases! We want to help find connections between ideas that exist across relays, allowing individuals and groups to mix and match knowledge bases between each other, allowing for any degree of openness you care.

While designed with #Alexandria users in mind, it's available for anyone to use and adapt to their own learning needs.

Screenshots

Frame Selection

This is a screenshot of the frame selection interface. You'll see a signal that represents frame entropy over time. The vertical lines indicate the start and end of a chapter. Within these chapters you can select the frames by clicking and dragging the mouse over the desired range where you think diagram is in that chapter. At the bottom is an option that tells the program to select a specific number of frames from that selection.

Diagram Extraction

This is a screenshot of the diagram extraction interface. For every selection you've made, there will be a set of frames that you can choose from. You can select and deselect as many frames as you'd like to save.

Links

• repo: https://github.com/limina1/video_article_converter
• Nostr Apps 101: https://www.youtube.com/watch?v=Flxa_jkErqE

Output

And now, we have a demonstration of the final result of this tool, with some quick cleaning up. The video we will be using this tool on is titled Nostr Apps 101 by nostr:npub1nxy4qpqnld6kmpphjykvx2lqwvxmuxluddwjamm4nc29ds3elyzsm5avr7 during Nostrasia. The following thread is an analog to the modular articles we are constructing for Alexandria, and I hope it conveys the functionality we want to create in the knowledge space. Note, this tool is the first step! You could use a different prompt that is most appropriate for the specific context of the transcript you are working with, but you can also manually clean up any discrepancies that don't portray the video accurately.

nostr:nevent1qvzqqqqqqypzp5r5hd579v2sszvvzfel677c8dxgxm3skl773sujlsuft64c44ncqy2hwumn8ghj7un9d3shjtnyv9kh2uewd9hj7qgwwaehxw309ahx7uewd3hkctcpzemhxue69uhhyetvv9ujumt0wd68ytnsw43z7qghwaehxw309aex2mrp0yhxummnw3ezucnpdejz7qgewaehxw309aex2mrp0yh8xmn0wf6zuum0vd5kzmp0qqsxunmjy20mvlq37vnrcshkf6sdrtkfjtjz3anuetmcuv8jswhezgc7hglpn

Or view on Coracle nostr:nevent1qqsxunmjy20mvlq37vnrcshkf6sdrtkfjtjz3anuetmcuv8jswhezgcppemhxue69uhkummn9ekx7mp0qgsdqa9md83tz5yqnrqjw07hhkpmfjpkuv9hlh5v8yhu8z274w9dv7qnnq0s3

@ 8947a945:9bfcf626

สวัสดีทุกคนบน Nostr ครับ รวมไปถึง watchersและ ผู้ติดตามของผมจาก Deviantart และ platform งานศิลปะอื่นๆนะครับ

ตั้งแต่ต้นปี 2024 ผมใช้ AI เจนรูปงานตัวละครสาวๆจากอนิเมะ และเปิด exclusive content ให้สำหรับผู้ที่ชื่นชอบผลงานของผมเป็นพิเศษ

ผมโพสผลงานผมทั้งหมดไว้ที่เวบ Deviantart และค่อยๆสร้างฐานผู้ติดตามมาเรื่อยๆอย่างค่อยเป็นค่อยไปมาตลอดครับ ทุกอย่างเติบโตไปเรื่อยๆของมัน ส่วนตัวผมมองว่ามันเป็นพิร์ตธุรกิจออนไลน์ ของผมพอร์ตนึงได้เลย

เมื่อวันที่ 16 กย.2024 มีผู้ติดตามคนหนึ่งส่งข้อความส่วนตัวมาหาผม บอกว่าชื่นชอบผลงานของผมมาก ต้องการจะขอซื้อผลงาน แต่ขอซื้อเป็น NFT นะ เสนอราคาซื้อขายต่อชิ้นที่สูงมาก หลังจากนั้นผมกับผู้ซื้อคนนี้พูดคุยกันในเมล์ครับ

นี่คือข้อสรุปสั่นๆจากการต่อรองซื้อขายครับ

(หลังจากนี้ผมขอเรียกผู้ซื้อว่า scammer นะครับ เพราะไพ่มันหงายมาแล้ว ว่าเขาคือมิจฉาชีพ)

• Scammer รายแรก เลือกผลงานที่จะซื้อ เสนอราคาซื้อที่สูงมาก แต่ต้องเป็นเวบไซต์ NFTmarket place ที่เขากำหนดเท่านั้น มันทำงานอยู่บน ERC20 ผมเข้าไปดูเวบไซต์ที่ว่านี้แล้วรู้สึกว่ามันดูแปลกๆครับ คนที่จะลงขายผลงานจะต้องใช้ email ในการสมัครบัญชีซะก่อน ถึงจะผูก wallet อย่างเช่น metamask ได้ เมื่อผูก wallet แล้วไม่สามารถเปลี่ยนได้ด้วย ตอนนั้นผมใช้ wallet ที่ไม่ได้ link กับ HW wallet ไว้ ทดลองสลับ wallet ไปๆมาๆ มันทำไม่ได้ แถมลอง log out แล้ว เลข wallet ก็ยังคาอยู่อันเดิม อันนี้มันดูแปลกๆแล้วหนึ่งอย่าง เวบนี้ค่า ETH ในการ mint 0.15 - 0.2 ETH … ตีเป็นเงินบาทนี่แพงบรรลัยอยู่นะครับ

• Scammer รายแรกพยายามชักจูงผม หว่านล้อมผมว่า แหม เดี๋ยวเขาก็มารับซื้องานผมน่า mint งานเสร็จ รีบบอกเขานะ เดี๋ยวเขารีบกดซื้อเลย พอขายได้กำไร ผมก็ได้ค่า gas คืนได้ แถมยังได้กำไรอีก ไม่มีอะไรต้องเสีนจริงมั้ย แต่มันเป้นความโชคดีครับ เพราะตอนนั้นผมไม่เหลือทุนสำรองที่จะมาซื้อ ETH ได้ ผมเลยต่อรองกับเขาตามนี้ครับ :

• ผมเสนอว่า เอางี้มั้ย ผมส่งผลงานของผมแบบ low resolution ให้ก่อน แลกกับให้เขาช่วยโอน ETH ที่เป็นค่า mint งานมาให้หน่อย พอผมได้ ETH แล้ว ผมจะ upscale งานของผม แล้วเมล์ไปให้ ใจแลกใจกันไปเลย ... เขาไม่เอา

• ผมเสนอให้ไปซื้อที่ร้านค้าออนไลน์ buymeacoffee ของผมมั้ย จ่ายเป็น USD ... เขาไม่เอา
• ผมเสนอให้ซื้อขายผ่าน PPV lightning invoice ที่ผมมีสิทธิ์เข้าถึง เพราะเป็น creator ของ Creatr ... เขาไม่เอา
• ผมยอกเขาว่างั้นก็รอนะ รอเงินเดือนออก เขาบอก ok

สัปดาห์ถัดมา มี scammer คนที่สองติดต่อผมเข้ามา ใช้วิธีการใกล้เคียงกัน แต่ใช้คนละเวบ แถมเสนอราคาซื้อที่สูงกว่าคนแรกมาก เวบที่สองนี้เลวร้ายค่าเวบแรกอีกครับ คือต้องใช้เมล์สมัครบัญชี ไม่สามารถผูก metamask ได้ พอสมัครเสร็จจะได้ wallet เปล่าๆมาหนึ่งอัน ผมต้องโอน ETH เข้าไปใน wallet นั้นก่อน เพื่อเอาไปเป็นค่า mint NFT 0.2 ETH

ผมบอก scammer รายที่สองว่า ต้องรอนะ เพราะตอนนี้กำลังติดต่อซื้อขายอยู่กับผู้ซื้อรายแรกอยู่ ผมกำลังรอเงินเพื่อมาซื้อ ETH เป็นต้นทุนดำเนินงานอยู่ คนคนนี้ขอให้ผมส่งเวบแรกไปให้เขาดูหน่อย หลังจากนั้นไม่นานเขาเตือนผมมาว่าเวบแรกมันคือ scam นะ ไม่สามารถถอนเงินออกมาได้ เขายังส่งรูป cap หน้าจอที่คุยกับผู้เสียหายจากเวบแรกมาให้ดูว่าเจอปัญหาถอนเงินไม่ได้ ไม่พอ เขายังบลัฟ opensea ด้วยว่าลูกค้าขายงานได้ แต่ถอนเงินไม่ได้

Opensea ถอนเงินไม่ได้ ตรงนี้แหละครับคือตัวกระตุกต่อมเอ๊ะของผมดังมาก เพราะ opensea อ่ะ ผู้ใช้ connect wallet เข้ากับ marketplace โดยตรง ซื้อขายกันเกิดขึ้น เงินวิ่งเข้าวิ่งออก wallet ของแต่ละคนโดยตรงเลย opensea เก็บแค่ค่า fee ในการใช้ platform ไม่เก็บเงินลูกค้าไว้ แถมปีนี้ค่า gas fee ก็ถูกกว่า bull run cycle 2020 มาก ตอนนี้ค่า gas fee ประมาณ 0.0001 ETH (แต่มันก็แพงกว่า BTC อยู่ดีอ่ะครับ)

ผมเลยเอาเรื่องนี้ไปปรึกษาพี่บิท แต่แอดมินมาคุยกับผมแทน ทางแอดมินแจ้งว่ายังไม่เคยมีเพื่อนๆมาปรึกษาเรื่องนี้ กรณีที่ผมทักมาถามนี่เป็นรายแรกเลย แต่แอดมินให้ความเห็นไปในทางเดียวกับสมมุติฐานของผมว่าน่าจะ scam ในเวลาเดียวกับผมเอาเรื่องนี้ไปถามในเพจ NFT community คนไทนด้วย ได้รับการ confirm ชัดเจนว่า scam และมีคนไม่น้อยโดนหลอก หลังจากที่ผมรู้ที่มาแล้ว ผมเลยเล่นสงครามปั่นประสาท scammer ทั้งสองคนนี้ครับ เพื่อดูว่าหลอกหลวงมิจฉาชีพจริงมั้ย

โดยวันที่ 30 กย. ผมเลยปั่นประสาน scammer ทั้งสองรายนี้ โดยการ mint ผลงานที่เขาเสนอซื้อนั่นแหละ ขึ้น opensea แล้วส่งข้อความไปบอกว่า

mint ให้แล้วนะ แต่เงินไม่พอจริงๆว่ะโทษที เลย mint ขึ้น opensea แทน พอดีบ้านจน ทำได้แค่นี้ไปถึงแค่ opensea รีบไปซื้อล่ะ มีคนจ้องจะคว้างานผมเยอะอยู่ ผมไม่คิด royalty fee ด้วยนะเฮ้ย เอาไปขายต่อไม่ต้องแบ่งกำไรกับผม

เท่านั้นแหละครับ สงครามจิตวิทยาก็เริ่มขึ้น แต่เขาจนมุม กลืนน้ำลายตัวเอง ช็อตเด็ดคือ

เขา : เนี่ยอุส่ารอ บอกเพื่อนในทีมว่าวันจันทร์ที่ 30 กย. ได้ของแน่ๆ เพื่อนๆในทีมเห็นงานผมแล้วมันสวยจริง เลยใส่เงินเต็มที่ 9.3ETH (+ capture screen ส่งตัวเลขยอดเงินมาให้ดู)ไว้รอโดยเฉพาะเลยนะ ผม : เหรอ ... งั้น ขอดู wallet address ที่มี transaction มาให้ดูหน่อยสิ เขา : 2ETH นี่มัน 5000$ เลยนะ ผม : แล้วไง ขอดู wallet address ที่มีการเอายอดเงิน 9.3ETH มาให้ดูหน่อย ไหนบอกว่าเตรียมเงินไว้มากแล้วนี่ ขอดูหน่อย ว่าใส่ไว้เมื่อไหร่ ... เอามาแค่ adrress นะเว้ย ไม่ต้องทะลึ่งส่ง seed มาให้ เขา : ส่งรูปเดิม 9.3 ETH มาให้ดู ผม : รูป screenshot อ่ะ มันไม่มีความหมายหรอกเว้ย ตัดต่อเอาก็ได้ง่ายจะตาย เอา transaction hash มาดู ไหนว่าเตรียมเงินไว้รอ 9.3ETH แล้วอยากซื้องานผมจนตัวสั่นเลยไม่ใช่เหรอ ถ้าจะส่ง wallet address มาให้ดู หรือจะช่วยส่ง 0.15ETH มาให้ยืม mint งานก่อน แล้วมากดซื้อ 2ETH ไป แล้วผมใช้ 0.15ETH คืนให้ก็ได้ จะซื้อหรือไม่ซื้อเนี่ย เขา : จะเอา address เขาไปทำไม ผม : ตัดจบ รำคาญ ไม่ขายให้ละ เขา : 2ETH = 5000 USD เลยนะ ผม : แล้วไง

ผมเลยเขียนบทความนี้มาเตือนเพื่อนๆพี่ๆทุกคนครับ เผื่อใครกำลังเปิดพอร์ตทำธุรกิจขาย digital art online แล้วจะโชคดี เจอของดีแบบผม

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ทำไมผมถึงมั่นใจว่ามันคือการหลอกหลวง แล้วคนโกงจะได้อะไร

อันดับแรกไปพิจารณาดู opensea ครับ เป็นเวบ NFTmarketplace ที่ volume การซื้อขายสูงที่สุด เขาไม่เก็บเงินของคนจะซื้อจะขายกันไว้กับตัวเอง เงินวิ่งเข้าวิ่งออก wallet ผู้ซื้อผู้ขายเลย ส่วนทางเวบเก็บค่าธรรมเนียมเท่านั้น แถมค่าธรรมเนียมก็ถูกกว่าเมื่อปี 2020 เยอะ ดังนั้นการที่จะไปลงขายงานบนเวบ NFT อื่นที่ค่า fee สูงกว่ากันเป็นร้อยเท่า ... จะทำไปทำไม

ผมเชื่อว่า scammer โกงเงินเจ้าของผลงานโดยการเล่นกับความโลภและความอ่อนประสบการณ์ของเจ้าของผลงานครับ เมื่อไหร่ก็ตามที่เจ้าของผลงานโอน ETH เข้าไปใน wallet เวบนั้นเมื่อไหร่ หรือเมื่อไหร่ก็ตามที่จ่ายค่า fee ในการ mint งาน เงินเหล่านั้นสิ่งเข้ากระเป๋า scammer ทันที แล้วก็จะมีการเล่นตุกติกต่อแน่นอนครับ เช่นถอนไม่ได้ หรือซื้อไม่ได้ ต้องโอนเงินมาเพิ่มเพื่อปลดล็อค smart contract อะไรก็ว่าไป แล้วคนนิสัยไม่ดีพวกเนี้ย ก็จะเล่นกับความโลภของคน เอาราคาเสนอซื้อที่สูงโคตรๆมาล่อ ... อันนี้ไม่ว่ากัน เพราะบนโลก NFT รูปภาพบางรูปที่ไม่ได้มีความเป็นศิลปะอะไรเลย มันดันขายกันได้ 100 - 150 ETH ศิลปินที่พยายามสร้างตัวก็อาจจะมองว่า ผลงานเรามีคนรับซื้อ 2 - 4 ETH ต่องานมันก็มากพอแล้ว (จริงๆมากเกินจนน่าตกใจด้วยซ้ำครับ)

บนโลกของ BTC ไม่ต้องเชื่อใจกัน โอนเงินไปหากันได้ ปิดสมุดบัญชีได้โดยไม่ต้องเชื่อใจกัน

บบโลกของ ETH "code is law" smart contract มีเขียนอยู่แล้ว ไปอ่าน มันไม่ได้ยากมากในการทำความเข้าใจ ดังนั้น การจะมาเชื่อคำสัญญาจากคนด้วยกัน เป็นอะไรที่ไม่มีเหตุผล

ผมไปเล่าเรื่องเหล่านี้ให้กับ community งานศิลปะ ก็มีทั้งเสียงตอบรับที่ดี และไม่ดีปนกันไป มีบางคนยืนยันเสียงแข็งไปในทำนองว่า ไอ้เรื่องแบบเนี้ยไม่ได้กินเขาหรอก เพราะเขาตั้งใจแน่วแน่ว่างานศิลป์ของเขา เขาไม่เอาเข้ามายุ่งในโลก digital currency เด็ดขาด ซึ่งผมก็เคารพมุมมองเขาครับ แต่มันจะดีกว่ามั้ย ถ้าเราเปิดหูเปิดตาให้ทันเทคโนโลยี โดยเฉพาะเรื่อง digital currency , blockchain โดนโกงทีนึงนี่คือหมดตัวกันง่ายกว่าเงิน fiat อีก

อยากจะมาเล่าให้ฟังครับ และอยากให้ช่วยแชร์ไปให้คนรู้จักด้วย จะได้ระวังตัวกัน

Note

• ภาพประกอบ cyber security ทั้งสองนี่ของผมเองครับ ทำเอง วางขายบน AdobeStock
• อีกบัญชีนึงของผม "HikariHarmony" npub1exdtszhpw3ep643p9z8pahkw8zw00xa9pesf0u4txyyfqvthwapqwh48sw กำลังค่อยๆเอาผลงานจากโลกข้างนอกเข้ามา nostr ครับ ตั้งใจจะมาสร้างงานศิลปะในนี้ เพื่อนๆที่ชอบงาน จะได้ไม่ต้องออกไปหาที่ไหน

ผลงานของผมครับ - Anime girl fanarts : HikariHarmony - HikariHarmony on Nostr - General art : KeshikiRakuen - KeshikiRakuen อาจจะเป็นบัญชี nostr ที่สามของผม ถ้าไหวครับ

@ 8947a945:9bfcf626

Hello everyone on Nostr and all my watchersand followersfrom DeviantArt, as well as those from other art platforms

I have been creating and sharing AI-generated anime girl fanart since the beginning of 2024 and have been running member-exclusive content on Patreon.

I also publish showcases of my artworks to Deviantart. I organically build up my audience from time to time. I consider it as one of my online businesses of art. Everything is slowly growing

On September 16, I received a DM from someone expressing interest in purchasing my art in NFT format and offering a very high price for each piece. We later continued the conversation via email.

Here’s a brief overview of what happened

• The first scammer selected the art they wanted to buy and offered a high price for each piece. They provided a URL to an NFT marketplace site running on the Ethereum (ETH) mainnet or ERC20. The site appeared suspicious, requiring email sign-up and linking a MetaMask wallet. However, I couldn't change the wallet address later. The minting gas fees were quite expensive, ranging from 0.15 to 0.2 ETH

• The scammers tried to convince me that the high profits would easily cover the minting gas fees, so I had nothing to lose. Luckily, I didn’t have spare funds to purchase ETH for the gas fees at the time, so I tried negotiating with them as follows:

• I offered to send them a lower-quality version of my art via email in exchange for the minting gas fees, but they refused.

• I offered them the option to pay in USD through Buy Me a Coffee shop here, but they refused.
• I offered them the option to pay via Bitcoin using the Lightning Network invoice , but they refused.
• I asked them to wait until I could secure the funds, and they agreed to wait.

The following week, a second scammer approached me with a similar offer, this time at an even higher price and through a different NFT marketplace website.

This second site also required email registration, and after navigating to the dashboard, it asked for a minting fee of 0.2 ETH. However, the site provided a wallet address for me instead of connecting a MetaMask wallet.

I told the second scammer that I was waiting to make a profit from the first sale, and they asked me to show them the first marketplace. They then warned me that the first site was a scam and even sent screenshots of victims, including one from OpenSea saying that Opensea is not paying.

This raised a red flag, and I began suspecting I might be getting scammed. On OpenSea, funds go directly to users' wallets after transactions, and OpenSea charges a much lower platform fee compared to the previous crypto bull run in 2020. Minting fees on OpenSea are also significantly cheaper, around 0.0001 ETH per transaction.

I also consulted with Thai NFT artist communities and the ex-chairman of the Thai Digital Asset Association. According to them, no one had reported similar issues, but they agreed it seemed like a scam.

After confirming my suspicions with my own research and consulting with the Thai crypto community, I decided to test the scammers’ intentions by doing the following

I minted the artwork they were interested in, set the price they offered, and listed it for sale on OpenSea. I then messaged them, letting them know the art was available and ready to purchase, with no royalty fees if they wanted to resell it.

They became upset and angry, insisting I mint the art on their chosen platform, claiming they had already funded their wallet to support me. When I asked for proof of their wallet address and transactions, they couldn't provide any evidence that they had enough funds.

Here’s what I want to warn all artists in the DeviantArt community or other platforms If you find yourself in a similar situation, be aware that scammers may be targeting you.

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My Perspective why I Believe This is a Scam and What the Scammers Gain

From my experience with BTC and crypto since 2017, here's why I believe this situation is a scam, and what the scammers aim to achieve

First, looking at OpenSea, the largest NFT marketplace on the ERC20 network, they do not hold users' funds. Instead, funds from transactions go directly to users’ wallets. OpenSea’s platform fees are also much lower now compared to the crypto bull run in 2020. This alone raises suspicion about the legitimacy of other marketplaces requiring significantly higher fees.

I believe the scammers' tactic is to lure artists into paying these exorbitant minting fees, which go directly into the scammers' wallets. They convince the artists by promising to purchase the art at a higher price, making it seem like there's no risk involved. In reality, the artist has already lost by paying the minting fee, and no purchase is ever made.

In the world of Bitcoin (BTC), the principle is "Trust no one" and “Trustless finality of transactions” In other words, transactions are secure and final without needing trust in a third party.

In the world of Ethereum (ETH), the philosophy is "Code is law" where everything is governed by smart contracts deployed on the blockchain. These contracts are transparent, and even basic code can be read and understood. Promises made by people don’t override what the code says.

I also discuss this issue with art communities. Some people have strongly expressed to me that they want nothing to do with crypto as part of their art process. I completely respect that stance.

However, I believe it's wise to keep your eyes open, have some skin in the game, and not fall into scammers’ traps. Understanding the basics of crypto and NFTs can help protect you from these kinds of schemes.

If you found this article helpful, please share it with your fellow artists.

Until next time Take care

Note

• Both cyber security images are mine , I created and approved by AdobeStock to put on sale
• I'm working very hard to bring all my digital arts into Nostr to build my Sats business here to my another npub "HikariHarmony" npub1exdtszhpw3ep643p9z8pahkw8zw00xa9pesf0u4txyyfqvthwapqwh48sw

Link to my full gallery - Anime girl fanarts : HikariHarmony - HikariHarmony on Nostr - General art : KeshikiRakuen

@ e6817453:b0ac3c39

Hey folks, today we're diving into an exciting and emerging topic: personal artificial intelligence (PAI) and its connection to sovereignty, privacy, and ethics. With the rapid advancements in AI, there's a growing interest in the development of personal AI agents that can work on behalf of the user, acting autonomously and providing tailored services. However, as with any new technology, there are several critical factors that shape the future of PAI. Today, we'll explore three key pillars: privacy and ownership, explainability, and bias.

1. Privacy and Ownership: Foundations of Personal AI

At the heart of personal AI, much like self-sovereign identity (SSI), is the concept of ownership. For personal AI to be truly effective and valuable, users must own not only their data but also the computational power that drives these systems. This autonomy is essential for creating systems that respect the user's privacy and operate independently of large corporations.

In this context, privacy is more than just a feature—it's a fundamental right. Users should feel safe discussing sensitive topics with their AI, knowing that their data won’t be repurposed or misused by big tech companies. This level of control and data ownership ensures that users remain the sole beneficiaries of their information and computational resources, making privacy one of the core pillars of PAI.

2. Bias and Fairness: The Ethical Dilemma of LLMs

Most of today’s AI systems, including personal AI, rely heavily on large language models (LLMs). These models are trained on vast datasets that represent snapshots of the internet, but this introduces a critical ethical challenge: bias. The datasets used for training LLMs can be full of biases, misinformation, and viewpoints that may not align with a user’s personal values.

This leads to one of the major issues in AI ethics for personal AI—how do we ensure fairness and minimize bias in these systems? The training data that LLMs use can introduce perspectives that are not only unrepresentative but potentially harmful or unfair. As users of personal AI, we need systems that are free from such biases and can be tailored to our individual needs and ethical frameworks.

Unfortunately, training models that are truly unbiased and fair requires vast computational resources and significant investment. While large tech companies have the financial means to develop and train these models, individual users or smaller organizations typically do not. This limitation means that users often have to rely on pre-trained models, which may not fully align with their personal ethics or preferences. While fine-tuning models with personalized datasets can help, it's not a perfect solution, and bias remains a significant challenge.

3. Explainability: The Need for Transparency

One of the most frustrating aspects of modern AI is the lack of explainability. Many LLMs operate as "black boxes," meaning that while they provide answers or make decisions, it's often unclear how they arrived at those conclusions. For personal AI to be effective and trustworthy, it must be transparent. Users need to understand how the AI processes information, what data it relies on, and the reasoning behind its conclusions.

Explainability becomes even more critical when AI is used for complex decision-making, especially in areas that impact other people. If an AI is making recommendations, judgments, or decisions, it’s crucial for users to be able to trace the reasoning process behind those actions. Without this transparency, users may end up relying on AI systems that provide flawed or biased outcomes, potentially causing harm.

This lack of transparency is a major hurdle for personal AI development. Current LLMs, as mentioned earlier, are often opaque, making it difficult for users to trust their outputs fully. The explainability of AI systems will need to be improved significantly to ensure that personal AI can be trusted for important tasks.

Addressing the Ethical Landscape of Personal AI

As personal AI systems evolve, they will increasingly shape the ethical landscape of AI. We’ve already touched on the three core pillars—privacy and ownership, bias and fairness, and explainability. But there's more to consider, especially when looking at the broader implications of personal AI development.

Most current AI models, particularly those from big tech companies like Facebook, Google, or OpenAI, are closed systems. This means they are aligned with the goals and ethical frameworks of those companies, which may not always serve the best interests of individual users. Open models, such as Meta's LLaMA, offer more flexibility and control, allowing users to customize and refine the AI to better meet their personal needs. However, the challenge remains in training these models without significant financial and technical resources.

There’s also the temptation to use uncensored models that aren’t aligned with the values of large corporations, as they provide more freedom and flexibility. But in reality, models that are entirely unfiltered may introduce harmful or unethical content. It’s often better to work with aligned models that have had some of the more problematic biases removed, even if this limits some aspects of the system’s freedom.

The future of personal AI will undoubtedly involve a deeper exploration of these ethical questions. As AI becomes more integrated into our daily lives, the need for privacy, fairness, and transparency will only grow. And while we may not yet be able to train personal AI models from scratch, we can continue to shape and refine these systems through curated datasets and ongoing development.

Conclusion

In conclusion, personal AI represents an exciting new frontier, but one that must be navigated with care. Privacy, ownership, bias, and explainability are all essential pillars that will define the future of these systems. As we continue to develop personal AI, we must remain vigilant about the ethical challenges they pose, ensuring that they serve the best interests of users while remaining transparent, fair, and aligned with individual values.

If you have any thoughts or questions on this topic, feel free to reach out—I’d love to continue the conversation!

@ 378562cd:a6fc6773

Top 20 U.S. Headlines:

1. Federal Judge Blocks Trump's Birthright Citizenship Executive OrderA federal judge has temporarily halted President Donald Trump's executive order aimed at ending birthright citizenship, citing constitutional concerns under the 14th Amendment. This decision marks a significant legal challenge to the administration's immigration policy.

2. U.S. Withdraws from Global Tax AgreementThe United States has officially withdrawn from a global tax deal negotiated at the OECD, which sought to implement a global minimum tax and ensure multinational companies pay fair taxes where they operate. This move signals a potential shift towards a tax war, with considerations to double taxes on foreign companies as a retaliatory measure.

3. Chancellor Rachel Reeves Backs Heathrow ExpansionChancellor Rachel Reeves has expressed support for the long-debated Heathrow Airport expansion, citing economic growth and job creation. However, the project faces resistance from environmental groups and within her party, highlighting concerns over environmental impacts and carbon emissions.

4. Former Politico Reporters Criticize Editorial Decisions on Hunter Biden StoriesEx-Politico reporters Tara Palmeri and Marc Caputo have criticized their former editors for allegedly suppressing significant stories about Hunter Biden's laptop and related issues before the 2020 election, contributing to a narrative of misinformation. Politico has defended its editorial standards and commitment to accuracy.

5. Skepticism Surrounds 'Drill, Baby, Drill' PlanU.S. shale industry leaders have expressed skepticism about President Trump's plan to significantly boost oil production to combat inflation, emphasizing that financial motivations drive decisions rather than political agendas. Despite pressure on OPEC and Saudi Arabia to lower oil prices, low prices could harm U.S. shale profitability, with growth expected to slow.

6. Chicago Bears Appoint Ben Johnson as Head CoachThe Chicago Bears have appointed Ben Johnson as their new head coach, offering a substantial salary of $13 million per year, making him the seventh-highest-paid NFL coach. Despite having no head coaching experience, Johnson's tenure as the Detroit Lions' offensive coordinator saw significant improvements in the team's offense.

7. Southport Attack Aftermath: Addressing Myths and MisinformationFollowing last summer's Southport attack, where three young girls were murdered, authorities are confronting far-right riots and disinformation that ensued. The attacker, Axel Rudakubana, pleaded guilty, and investigations revealed extremist materials in his home. The incident has prompted discussions on effective public communication to dispel harmful disinformation.

8. Southern California Wildfires Force Mass EvacuationsA new explosive wildfire has erupted near Los Angeles, rapidly expanding to over 10,000 acres and forcing mass evacuations. Firefighters are battling to maintain control amid challenging conditions.

9. Historic Snowstorm Paralyzes Parts of the Southern U.S.A record-breaking snowstorm has swept across the southern United States, paralyzing regions unaccustomed to such weather. The storm has led to significant disruptions, including road closures and power outages.

10. President Trump Deploys 1,500 Troops to Southern BorderIn a move to bolster border security, President Trump has ordered the deployment of 1,500 active-duty troops to the U.S.-Mexico border. This action aligns with his administration's recent executive orders on immigration enforcement.

11. Trump Administration Reviewing Automatic Emergency Braking RuleThe U.S. auto safety agency is reconsidering a landmark rule from the previous administration that required nearly all new cars and trucks by 2029 to have advanced automatic emergency braking systems.

12. Lawmakers Seek Sanctions Over Hong Kong Human Rights ViolationsBipartisan U.S. lawmakers are introducing a bill requiring the Trump administration to review whether Hong Kong officials should be sanctioned for human rights violations.

13. International Criminal Court Prepares for Possible U.S. SanctionsThe International Criminal Court has taken measures to shield staff from potential U.S. sanctions, including paying salaries three months in advance, as it braces for financial restrictions that could impact the tribunal's operations.

14. Brianna 'Chickenfry' LaPaglia Reflects on Sexuality Post-BreakupFollowing a tumultuous breakup with country singer Zach Bryan, Brianna LaPaglia, known as "Chickenfry," speculates about her dating preferences, expressing disinterest in having a boyfriend and considering dating women.

15. NATO Chief Warns of Costly Impact if Russia Wins Over UkraineNATO Secretary-General Mark Rutte has warned that a Russian victory over Ukraine would undermine the alliance's credibility and could cost trillions of dollars to restore its deterrent power.

16. U.S. Border Patrol Agent Fatally Shot in VermontAuthorities report that a U.S. Border Patrol agent has been fatally shot in northern Vermont. The acting secretary of the Department of Homeland Security stated that the agent was killed in the line of duty.

17. MLK Day Observance Highlights Warning Against Anti-Woke RhetoricMartin Luther King Jr. Day celebrations at King's former congregation in Atlanta featured a 70-member choir and remarks from his youngest daughter, warning against anti-woke rhetoric.

18. Biden Pardons Fauci, Milley, and Jan. 6 Panel MembersPresident Joe Biden has pardoned individuals including Dr. Anthony Fauci, General Mark Milley, and members of the Jan. 6 committee, as a guard against potential 'revenge' by former President Trump.

19. Bitter Cold Spreads Across Much of the U.S.Frigid temperatures are engulfing Texas and other parts of the South ahead of a rare winter storm expected to bring heavy snow and disruptive ice accumulations to the region.

20. President Trump Grants Sweeping Pardon of Jan. 6 Defendants\ Former President Trump has issued pardons to multiple individuals convicted of crimes related to the January 6th Capitol breach, framing the move as a commitment to "justice for patriots." This decision has sparked sharp debates across political lines.

    ---

    Top 5 Worldwide Headlines:

    1. Tensions Escalate Between Russia and NATO Over Ukraine\ Russia has ramped up its military offensive in Ukraine, with NATO allies pledging additional support, including advanced weaponry, to Kyiv. The conflict continues to reshape European geopolitics.

    2. Global Markets React to China's Economic Data\ Slower-than-expected economic growth in China has sent ripples through global markets, raising concerns about the potential impact on global trade and supply chains.

    3. Massive Earthquake Strikes Turkey and Syria\ A devastating earthquake has rocked parts of Turkey and Syria, resulting in significant casualties and widespread destruction. International relief efforts are underway.

    4. United Nations Calls for Immediate Action on Climate Crisis\ A new UN report highlights the urgent need for global cooperation to combat the accelerating effects of climate change, including rising sea levels and extreme weather patterns.

    5. Protests Erupt in France Over Pension Reform Plans\ Large-scale protests have broken out across France in response to the government’s proposal to raise the retirement age, with unions organizing nationwide strikes.

@ e6817453:b0ac3c39

In the modern world of AI, managing vast amounts of data while keeping it relevant and accessible is a significant challenge, mainly when dealing with large language models (LLMs) and vector databases. One approach that has gained prominence in recent years is integrating vector search with metadata, especially in retrieval-augmented generation (RAG) pipelines. Vector search and metadata enable faster and more accurate data retrieval. However, the process of pre- and post-search filtering results plays a crucial role in ensuring data relevance.

The Vector Search and Metadata Challenge

In a typical vector search, you create embeddings from chunks of text, such as a PDF document. These embeddings allow the system to search for similar items and retrieve them based on relevance. The challenge, however, arises when you need to combine vector search results with structured metadata. For example, you may have timestamped text-based content and want to retrieve the most relevant content within a specific date range. This is where metadata becomes critical in refining search results.

Unfortunately, most vector databases treat metadata as a secondary feature, isolating it from the primary vector search process. As a result, handling queries that combine vectors and metadata can become a challenge, particularly when the search needs to account for a dynamic range of filters, such as dates or other structured data.

LibSQL and vector search metadata

LibSQL is a more general-purpose SQLite-based database that adds vector capabilities to regular data. Vectors are presented as blob columns of regular tables. It makes vector embeddings and metadata a first-class citizen that naturally builds deep integration of these data points.

create table if not exists conversation ( id varchar(36) primary key not null, startDate real, endDate real, summary text, vectorSummary F32_BLOB(512) );

It solves the challenge of metadata and vector search and eliminates impedance between vector data and regular structured data points in the same storage.

As you can see, you can access vector-like data and start date in the same query.

select c.id ,c.startDate, c.endDate, c.summary, vector_distance_cos(c.vectorSummary, vector(${vector})) distance from conversation where ${startDate ? `and c.startDate >= ${startDate.getTime()}` : ''} ${endDate ? `and c.endDate <= ${endDate.getTime()}` : ''} ${distance ? `and distance <= ${distance}` : ''} order by distance limit ${top};

vector_distance_cos calculated as distance allows us to make a primitive vector search that does a full scan and calculates distances on rows. We could optimize it with CTE and limit search and distance calculations to a much smaller subset of data.

This approach could be calculation intensive and fail on large amounts of data.

Libsql offers a way more effective vector search based on FlashDiskANN vector indexed.

vector_top_k('idx_conversation_vectorSummary', ${vector} , ${top}) i

vector_top_k is a table function that searches for the top of the newly created vector search index. As you can see, we could use only vector as a function parameter, and other columns could be used outside of the table function. So, to use a vector index together with different columns, we need to apply some strategies.

Now we get a classical problem of integration vector search results with metadata queries.

Post-Filtering: A Common Approach

The most widely adopted method in these pipelines is post-filtering. In this approach, the system first retrieves data based on vector similarities and then applies metadata filters. For example, imagine you’re conducting a vector search to retrieve conversations relevant to a specific question. Still, you also want to ensure these conversations occurred in the past week.

Post-filtering allows the system to retrieve the most relevant vector-based results and subsequently filter out any that don’t meet the metadata criteria, such as date range. This method is efficient when vector similarity is the primary factor driving the search, and metadata is only applied as a secondary filter.

const sqlQuery = ` select c.id ,c.startDate, c.endDate, c.summary, vector_distance_cos(c.vectorSummary, vector(${vector})) distance from vector_top_k('idx_conversation_vectorSummary', ${vector} , ${top}) i inner join conversation c on i.id = c.rowid where ${startDate ? `and c.startDate >= ${startDate.getTime()}` : ''} ${endDate ? `and c.endDate <= ${endDate.getTime()}` : ''} ${distance ? `and distance <= ${distance}` : ''} order by distance limit ${top};

However, there are some limitations. For example, the initial vector search may yield fewer results or omit some relevant data before applying the metadata filter. If the search window is narrow enough, this can lead to complete results.

One working strategy is to make the top value in vector_top_K much bigger. Be careful, though, as the function's default max number of results is around 200 rows.

Pre-Filtering: A More Complex Approach

Pre-filtering is a more intricate approach but can be more effective in some instances. In pre-filtering, metadata is used as the primary filter before vector search takes place. This means that only data that meets the metadata criteria is passed into the vector search process, limiting the scope of the search right from the beginning.

While this approach can significantly reduce the amount of irrelevant data in the final results, it comes with its own challenges. For example, pre-filtering requires a deeper understanding of the data structure and may necessitate denormalizing the data or creating separate pre-filtered tables. This can be resource-intensive and, in some cases, impractical for dynamic metadata like date ranges.

In certain use cases, pre-filtering might outperform post-filtering. For instance, when the metadata (e.g., specific date ranges) is the most important filter, pre-filtering ensures the search is conducted only on the most relevant data.

Pre-filtering with distance-based filtering

So, we are getting back to an old concept. We do prefiltering instead of using a vector index.

WITH FilteredDates AS ( SELECT c.id, c.startDate, c.endDate, c.summary, c.vectorSummary FROM YourTable c WHERE ${startDate ? `AND c.startDate >= ${startDate.getTime()}` : ''} ${endDate ? `AND c.endDate <= ${endDate.getTime()}` : ''} ), DistanceCalculation AS ( SELECT fd.id, fd.startDate, fd.endDate, fd.summary, fd.vectorSummary, vector_distance_cos(fd.vectorSummary, vector(${vector})) AS distance FROM FilteredDates fd ) SELECT dc.id, dc.startDate, dc.endDate, dc.summary, dc.distance FROM DistanceCalculation dc WHERE 1=1 ${distance ? `AND dc.distance <= ${distance}` : ''} ORDER BY dc.distance LIMIT ${top};

It makes sense if the filter produces small data and distance calculation happens on the smaller data set.

As a pro of this approach, you have full control over the data and get all results without omitting some typical values for extensive index searches.

Choosing Between Pre and Post-Filtering

Both pre-filtering and post-filtering have their advantages and disadvantages. Post-filtering is more accessible to implement, especially when vector similarity is the primary search factor, but it can lead to incomplete results. Pre-filtering, on the other hand, can yield more accurate results but requires more complex data handling and optimization.

In practice, many systems combine both strategies, depending on the query. For example, they might start with a broad pre-filtering based on metadata (like date ranges) and then apply a more targeted vector search with post-filtering to refine the results further.

Conclusion

Vector search with metadata filtering offers a powerful approach for handling large-scale data retrieval in LLMs and RAG pipelines. Whether you choose pre-filtering or post-filtering—or a combination of both—depends on your application's specific requirements. As vector databases continue to evolve, future innovations that combine these two approaches more seamlessly will help improve data relevance and retrieval efficiency further.

@ da18e986:3a0d9851

After months of development I am excited to officially announce the first version of DVMDash (v0.1). DVMDash is a monitoring and debugging tool for all Data Vending Machine (DVM) activity on Nostr. The website is live at https://dvmdash.live and the code is available on Github.

Data Vending Machines (NIP-90) offload computationally expensive tasks from relays and clients in a decentralized, free-market manner. They are especially useful for AI tools, algorithmic processing of user’s feeds, and many other use cases.

The long term goal of DVMDash is to become 1) a place to easily see what’s happening in the DVM ecosystem with metrics and graphs, and 2) provide real-time tools to help developers monitor, debug, and improve their DVMs.

DVMDash aims to enable users to answer these types of questions at a glance: * What’s the most popular DVM right now? * How much money is being paid to image generation DVMs? * Is any DVM down at the moment? When was the last time that DVM completed a task? * Have any DVMs failed to deliver after accepting payment? Did they refund that payment? * How long does it take this DVM to respond? * For task X, what’s the average amount of time it takes for a DVM to complete the task? * … and more

For developers working with DVMs there is now a visual, graph based tool that shows DVM-chain activity. DVMs have already started calling other DVMs to assist with work. Soon, we will have humans in the loop monitoring DVM activity, or completing tasks themselves. The activity trace of which DVM is being called as part of a sub-task from another DVM will become complicated, especially because these decisions will be made at run-time and are not known ahead of time. Building a tool to help users and developers understand where a DVM is in this activity trace, whether it’s gotten stuck or is just taking a long time, will be invaluable. For now, the website only shows 1 step of a dvm chain from a user's request.

One of the main designs for the site is that it is highly clickable, meaning whenever you see a DVM, Kind, User, or Event ID, you can click it and open that up in a new page to inspect it.

Another aspect of this website is that it should be fast. If you submit a DVM request, you should see it in DVMDash within seconds, as well as events from DVMs interacting with your request. I have attempted to obtain DVM events from relays as quickly as possible and compute metrics over them within seconds.

This project makes use of a nosql database and graph database, currently set to use mongo db and neo4j, for which there are free, community versions that can be run locally.

Finally, I’m grateful to nostr:npub10pensatlcfwktnvjjw2dtem38n6rvw8g6fv73h84cuacxn4c28eqyfn34f for supporting this project.

Features in v0.1:

Global Network Metrics:

This page shows the following metrics: - DVM Requests: Number of unencrypted DVM requests (kind 5000-5999) - DVM Results: Number of unencrypted DVM results (kind 6000-6999) - DVM Request Kinds Seen: Number of unique kinds in the Kind range 5000-5999 (except for known non-DVM kinds 5666 and 5969) - DVM Result Kinds Seen: Number of unique kinds in the Kind range 6000-6999 (except for known non-DVM kinds 6666 and 6969) - DVM Pub Keys Seen: Number of unique pub keys that have written a kind 6000-6999 (except for known non-DVM kinds) or have published a kind 31990 event that specifies a ‘k’ tag value between 5000-5999 - DVM Profiles (NIP-89) Seen: Number of 31990 that have a ‘k’ tag value for kind 5000-5999 - Most Popular DVM: The DVM that has produced the most result events (kind 6000-6999) - Most Popular Kind: The Kind in range 5000-5999 that has the most requests by users. - 24 hr DVM Requests: Number of kind 5000-5999 events created in the last 24 hrs - 24 hr DVM Results: Number of kind 6000-6999 events created in the last 24 hours - 1 week DVM Requests: Number of kind 5000-5999 events created in the last week - 1 week DVM Results: Number of kind 6000-6999 events created in the last week - Unique Users of DVMs: Number of unique pubkeys of kind 5000-5999 events - Total Sats Paid to DVMs: - This is an estimate. - This value is likely a lower bound as it does not take into consideration subscriptions paid to DVMs - This is calculated by counting the values of all invoices where: - A DVM published a kind 7000 event requesting payment and containing an invoice - The DVM later provided a DVM Result for the same job for which it requested payment. - The assumption is that the invoice was paid, otherwise the DVM would not have done the work - Note that because there are multiple ways to pay a DVM such as lightning invoices, ecash, and subscriptions, there is no guaranteed way to know whether a DVM has been paid. Additionally, there is no way to know that a DVM completed the job because some DVMs may not publish a final result event and instead send the user a DM or take some other kind of action.

Recent Requests:

This page shows the most recent 3 events per kind, sorted by created date. You should always be able to find the last 3 events here of all DVM kinds.

DVM Browser:

This page will either show a profile of a specific DVM, or when no DVM is given in the url, it will show a table of all DVMs with some high level stats. Users can click on a DVM in the table to load the DVM specific page.

Kind Browser:

This page will either show data on a specific kind including all DVMs that have performed jobs of that kind, or when no kind is given, it will show a table summarizing activity across all Kinds.

Debug:

This page shows the graph based visualization of all events, users, and DVMs involved in a single job as well as a table of all events in order from oldest to newest. When no event is given, this page shows the 200 most recent events where the user can click on an event in order to debug that job. The graph-based visualization allows the user to zoom in and out and move around the graph, as well as double click on any node in the graph (except invoices) to open up that event, user, or dvm in a new page.

Playground:

This page is currently under development and may not work at the moment. If it does work, in the current state you can login with NIP-07 extension and broadcast a 5050 event with some text and then the page will show you events from DVMs. This page will be used to interact with DVMs live. A current good alternative to this feature, for some but not all kinds, is https://vendata.io/.

Looking to the Future

I originally built DVMDash out of Fear-of-Missing-Out (FOMO); I wanted to make AI systems that were comprised of DVMs but my day job was taking up a lot of my time. I needed to know when someone was performing a new task or launching a new AI or Nostr tool!

I have a long list of DVMs and Agents I hope to build and I needed DVMDash to help me do it; I hope it helps you achieve your goals with Nostr, DVMs, and even AI. To this end, I wish for this tool to be useful to others, so if you would like a feature, please submit a git issue here or note me on Nostr!

Immediate Next Steps:

• Refactoring code and removing code that is no longer used
• Improve documentation to run the project locally
• Adding a metric for number of encrypted requests
• Adding a metric for number of encrypted results

Long Term Goals:

• Add more metrics based on community feedback
• Add plots showing metrics over time
• Add support for showing a multi-dvm chain in the graph based visualizer
• Add a real-time mode where the pages will auto update (currently the user must refresh the page)
• ... Add support for user requested features!

Acknowledgements

There are some fantastic people working in the DVM space right now. Thank you to nostr:npub1drvpzev3syqt0kjrls50050uzf25gehpz9vgdw08hvex7e0vgfeq0eseet for making python bindings for nostr_sdk and for the recent asyncio upgrades! Thank you to nostr:npub1nxa4tywfz9nqp7z9zp7nr7d4nchhclsf58lcqt5y782rmf2hefjquaa6q8 for answering lots of questions about DVMs and for making the nostrdvm library. Thank you to nostr:npub1l2vyh47mk2p0qlsku7hg0vn29faehy9hy34ygaclpn66ukqp3afqutajft for making the original DVM NIP and vendata.io which I use all the time for testing!

P.S. I rushed to get this out in time for Nostriga 2024; code refactoring will be coming :)

@ 9c9e774c:491c6c5b

In today's competitive legal landscape, establishing a strong, trusted reputation is essential for any legal professional or firm. This includes experts such as engineering expert witnesses, as well as law firms themselves. Brand reputation management (BRM) plays a crucial role in shaping how these professionals are perceived by clients, peers, and the public at large. Here’s how both expert witnesses and law firms can effectively use brand reputation management and email marketing to boost their visibility, trustworthiness, and ultimately their success.

Brand Reputation Management for Engineering Expert Witnesses

An engineering expert witness plays a critical role in many legal cases, providing specialized knowledge and testimony that can make or break a case. Because of the high level of expertise and authority required in this role, managing one's reputation is paramount.

Showcasing Expertise: Engineering expert witnesses can use content marketing, such as articles, case studies, or whitepapers, to showcase their in-depth knowledge. By writing about real-world applications of engineering principles in legal cases or discussing trends in the industry, they can position themselves as trusted thought leaders in their field.

Online Reviews and Testimonials: Potential clients—lawyers, law firms, or even direct clients—often rely on the experiences of others to gauge the credibility of an expert witness. Encouraging satisfied clients to leave positive reviews on professional networks like LinkedIn, Google, or specific legal platforms can enhance an expert’s online presence.

Public Speaking and Thought Leadership: Engineering experts can enhance their reputation by speaking at industry conferences or offering insights through webinars. These activities not only allow them to showcase their expertise but also increase their visibility among lawyers who may be seeking an expert witness.

Managing Negative Press: In any profession, negative feedback or a challenging case outcome is inevitable. However, effective reputation management involves addressing criticism professionally and transparently. Engineering experts can use their website or social media platforms to provide clarifications, correct inaccuracies, or demonstrate how they have learned and evolved from particular experiences.

Brand Reputation Management for Law Firms

For law firms, brand reputation management extends beyond individual cases and expert witnesses. It encompasses the firm’s overall image, which can influence the perception of both current clients and potential clients. Client Testimonials and Case Results: Positive feedback from clients can significantly enhance a law firm's reputation. Gathering testimonials or showcasing successful case outcomes (while adhering to legal ethical standards) on the firm’s website or social media can help build credibility and attract new clients.

Active Social Media Presence: Law firms should be active on professional platforms such as LinkedIn, as well as on other social media outlets like Twitter and Facebook. Engaging content, including firm achievements, community involvement, and legal insights, helps to humanize the firm and build a connection with potential clients. Regular posts, along with interactions with followers, demonstrate transparency and accessibility.

Thought Leadership and Content Creation: Publishing blog posts, articles, and industry insights is a great way for law firms to stay at the forefront of the legal community. Sharing knowledge on current legal topics, trends, or emerging areas of law helps establish the firm as a credible source of information and positions attorneys as experts in their fields.

Crisis Management: Sometimes, a firm’s reputation may come under fire due to a high-profile case or a client’s negative experience. Effective brand reputation management involves a well-thought-out crisis communication strategy. Being responsive, addressing concerns publicly, and taking corrective actions when necessary is key to maintaining trust.

How Law Firms Can Use Email Marketing for Brand Building

Email marketing for law firms is a powerful tool to keep their brand top-of-mind with clients, leads, and the broader legal community. Here’s how email marketing can fit into a law firm’s reputation management strategy: Nurturing Leads and Building Relationships: Email newsletters allow law firms to stay connected with leads over time. By offering valuable legal insights, case updates, or industry news, law firms can nurture relationships and remain the go-to resource for potential clients. Educational emails help foster trust and demonstrate the firm’s expertise.

Client Retention: After a client has been through a legal process, it’s essential to keep in touch for future needs or referrals. Personalized follow-up emails post-case or periodic newsletters with updates on the firm’s services, achievements, or relevant legal news can remind past clients of the firm’s value.

Client Testimonials and Case Studies: Law firms can strategically use email marketing to share success stories, case studies, or client testimonials. This not only showcases their expertise but also builds social proof, which is crucial for brand reputation. Featuring clients' positive experiences can influence potential clients' decisions when they are looking for legal representation.

Transparency and Communication: Email marketing helps law firms maintain transparent and open lines of communication. Whether sharing updates on legal proceedings, providing educational content, or sending reminders for consultations, emails allow for consistent engagement, which can build trust with clients.

SEO and Lead Generation: Emails that contain valuable content and include strong calls to action (CTAs) can drive traffic to the firm’s website, potentially converting leads into clients. Offering downloadable guides, legal checklists, or consultation discounts in email campaigns can incentivize recipients to take action.

Segmented Email Lists: A well-segmented email list is key to delivering the right message to the right audience. Law firms can categorize their contacts based on factors such as practice area, client status, or geographical location, enabling them to send highly relevant and personalized communications.

Conclusion

For both engineering expert witnesses and law firms, managing and cultivating a strong brand reputation is essential to building trust, attracting clients, and standing out in a crowded field. Engineering experts can use brand reputation management strategies like showcasing expertise and handling online reviews to cement their credibility. Law firms, on the other hand, can leverage content creation, client testimonials, and social media presence to boost their brand visibility. Email marketing plays a pivotal role in keeping clients informed, building relationships, and strengthening a firm’s reputation. When used effectively, email marketing can not only help retain clients but also generate leads, ensuring that law firms stay at the forefront of clients’ minds when legal needs arise. By embracing these brand reputation management tactics, both individual experts and law firms can ensure sustained success and a robust professional image.

@ d830ee7b:4e61cd62

การเผชิญหน้า (The Collision Point)

กลางปี 2017 ที่ร้านคราฟท์เบียร์เล็ก ๆ ในย่านเกาะเกร็ด นนทบุรี อากาศร้อนจนเครื่องปรับอากาศ (ที่ยังไม่มี) ในร้านทำงานหนักแทบไหม้ "แจ๊ก กู้ดเดย์" (Jakk Goodday) นั่งลงบนเก้าอี้ไม้ที่เจ้าของร้านกันไว้ให้เป็นประจำ ราวกับเขาเป็นลูกค้าขาประจำระดับวีไอพี

กลิ่นกาแฟคั่ว ลอยผสมกับไอความร้อนจากนอกหน้าต่าง (ผิดร้านหรือเปล่า?) เกิดเป็นบรรยากาศขมติดปลายลิ้นชวนให้คนจิบแล้วอยากถอนใจ

เขาเหลือบมองออกไปนอกหน้าต่าง.. เห็นแสงแดดแผดเผาราวกับมันรู้ว่าสงคราม Blocksize กำลังคุกรุ่นขึ้นอีกครั้ง

บรรยากาศนอกหน้าต่างกับใน ฟอรัม Bitcointalk ช่างเหมือนกันจนน่าขนลุก มันร้อนแรง ไร้ความปรานี

แจ๊กเปิดแล็ปท็อป กดเข้าเว็บฟอรัม พอเสียงแจ้งเตือน “—ติ๊ง” ดังขึ้น คิ้วของเขาก็ขมวดเล็กน้อย คล้ายได้กลิ่นดินปืนกลางสนามรบ

“โรเจอร์ แวร์ (Roger Ver) ไลฟ์เดือดลั่นเวที!” “ปีเตอร์ วูเล (Pieter Wuille) โต้กลับเรื่อง SegWit!” “Hard Fork ใกล้ถึงจุดปะทะแล้ว!”

แจ๊กคลิกเข้าไปในลิงก์ของไลฟ์ทันที เหมือนมือของเขาไม่ต้องการคำสั่งจากสมอง ความคุ้นเคยกับเหตุการณ์แบบนี้บอกเขาว่า นี่ไม่ใช่ดีเบตธรรมดา แต่มันอาจเปลี่ยนอนาคตของ Bitcoin ได้จริง ๆ

เห็นแค่พาดหัวสั้น ๆ แต่ความตึงเครียดก็ชัดเจนขึ้นเรื่อย ๆ ทุกข้อความเหมือนสุมไฟใส่ใจกองหนึ่งที่พร้อมระเบิดได้ทุกเมื่อ

โทรศัพท์ของแจ๊กดังพร้อมปรากฏชื่อ แชมป์ ‘PIGROCK’ ลอยขึ้นมา เขาหยิบขึ้นมารับทันที

“ว่าไงวะแชมป์… มีอะไรด่วนหรือเปล่า?” น้ำเสียงแจ๊กฟังดูเหมือนง่วง ๆ แต่จริง ๆ เขาพร้อมจะลุกมาวิเคราะห์สถานการณ์ให้ฟังทุกเมื่อ

“พี่แจ๊ก.. ผมอ่านดีเบตเรื่อง SegWit ในฟอรัมอยู่ครับ บางคนด่าว่ามันไม่ได้แก้ปัญหาจริง ๆ บ้างก็บอกถ้าเพิ่ม Blocksize ไปเลยจะง่ายกว่า... ผมเลยสงสัยว่า Hard Fork ที่เค้าพูดถึงกันนี่คืออะไร ใครคิดอะไรก็ Fork กันได้ง่าย ๆ เลยเหรอ"

"แล้วถ้า Fork ไปหลายสาย สุดท้ายเหรียญไหนจะเป็น ‘Bitcoin ที่แท้จริง’ ล่ะพี่?”

“แล้วการ Fork มันส่งผลกับนักลงทุนยังไงครับ? คนทั่วไปอย่างผมควรถือไว้หรือขายหนีตายดีล่ะเนี่ย?”

แจ๊กยิ้มมุมปาก ชอบใจที่น้องถามจี้จุด

“เอางี้… การ Fork มันเหมือนแบ่งถนนออกเป็นสองสาย ใครชอบกติกาเก่าก็วิ่งถนนเส้นเก่า ใครอยากแก้กติกาใหม่ก็ไปถนนเส้นใหม่"

"แต่ประเด็นคือ... นี่ไม่ใช่เรื่องเล็ก ๆ เพราะมีผลต่ออัตลักษณ์ของ Bitcoin ทั้งหมดเลยนะมึง—ใครจะยอมปล่อยผ่านง่าย ๆ”

"คิดดูสิ ถ้าครั้งนี้พวกเขา Fork จริง มันอาจไม่ได้เปลี่ยนแค่เครือข่าย แต่เปลี่ยนวิธีที่คนมอง Bitcoin ไปตลอดกาลเลยนะ"

"แล้วใครมันจะอยากลงทุนในระบบที่แตกแยกซ้ำแล้วซ้ำเล่าวะ?"

“งั้นหมายความว่าตอนนี้ก็มีสองแนวใหญ่ ๆ ชัวร์ใช่ไหมครับ?” แชมป์ถามต่อ

“ฝั่ง โรเจอร์ แวร์ ที่บอกว่าต้องเพิ่ม Blocksize ให้ใหญ่จุใจ กับฝั่งทีม Core อย่าง ปีเตอร์ วูเล ที่ยืนยันต้องใช้ SegWit ทำให้บล็อกเบา ไม่กระทบการกระจายอำนาจ?”

“ใช่เลย” แจ๊กจิบกาแฟดำเข้ม ๆ ผสมน้ำผึ้งไปหนึ่งอึก

“โรเจอร์นี่เขาเชื่อว่า Bitcoin ต้องเป็นเงินสดดิจิทัลที่ใช้จ่ายไว ค่าธรรมเนียมไม่แพง ส่วนปีเตอร์กับ Bitcoin Core มองว่าการเพิ่มบล็อกเยอะ ๆ มันจะไปฆ่า Node รายย่อย คนไม่มีทุนก็รัน Node ไม่ไหว สุดท้าย Bitcoin จะกลายเป็นระบบกึ่งรวมศูนย์ ซึ่งมันผิดหลักการเดิมของ ซาโตชิ ไงล่ะ”

“ฟังแล้วก็ไม่ใช่เรื่องง่ายนะพี่… งั้นที่ผมได้ยินว่า จิฮั่น อู๋ (Jihan Wu) เจ้าของ Bitmain ที่ถือ Hashrate เกินครึ่งนี่ก็มาอยู่ฝั่งเดียวกับโรเจอร์ใช่ไหม?"

"เพราะยิ่งบล็อกใหญ่ ค่าธรรมเนียมยิ่งเพิ่ม นักขุดก็ได้กำไรสูงขึ้นใช่ป่ะ?”

“ไอ้เรื่องกำไรก็ส่วนหนึ่ง...” แจ๊กถอนหายใจ

“แต่ที่สำคัญกว่านั้นคืออำนาจต่อรอง… ตอนประชุมลับที่ฮ่องกงเมื่อปีที่แล้ว พี่เองก็ถูกชวนให้เข้าไปในฐานะคนกลาง เลยเห็นภาพน่าขนลุกอยู่หน่อย ๆ"

"จิฮั่นนั่งไขว่ห้างด้วยสีหน้ามั่นใจมาก ด้วย Hashrate ราว 60% ของโลก สั่งซ้ายหันขวาหันเหมือนเป็นแม่ทัพใหญ่ได้เลย พอโรเจอร์ก็ไฟแรงอยู่แล้ว อยากให้ Bitcoin ครองโลกด้วยวิธีของเขา สองคนนี่จับมือกันทีจะเขย่าชุมชน Bitcoin ได้ทั้งกระดาน”

"พี่รู้สึกเหมือนนั่งอยู่ในศึกชิงบัลลังก์ยุคใหม่ คนหนึ่งยึดพลังขุด คนหนึ่งยึดความศรัทธาในชื่อ Bitcoin แต่สิ่งที่พี่สงสัยในตอนนั้นคือ… พวกเขาสู้เพื่อใครกันแน่?"

แชมป์เงียบไปครู่เหมือนกำลังประมวลผล “แล้วตอนนั้นพี่คิดยังไงบ้างครับ? รู้สึกกลัวหรือว่ายังไง?”

“จะไม่กลัวได้ไง!” แจ๊กหัวเราะแห้ง ๆ แวบหนึ่งก็นึกถึงสีหน้าที่ยิ้มเยาะของทั้งคู่ตอนประกาศความพร้อมจะ Fork

“พี่อดคิดไม่ได้ว่าถ้า Core ยังไม่ยอมขยายบล็อก พวกนั้นจะลากนักขุดทั้งกองทัพแฮชเรตไปทำเครือข่ายใหม่ให้เป็น ‘Bitcoin สายใหญ่’ แล้วทิ้งเครือข่ายเดิมให้ซวนเซ"

"แค่คิดก็นึกถึงสงครามกลางเมืองในหนังประวัติศาสตร์แล้วน่ะ.. แตกเป็นสองฝ่าย สุดท้ายใครแพ้ใครชนะ ไม่มีใครทำนายได้จริง ๆ”

พูดจบ.. เขาเปิดฟอรัมดูไลฟ์ดีเบตจากงานในปี 2017 ต่อ โรเจอร์ แวร์ กำลังพูดในโทนร้อนแรง

“Bitcoin ไม่ใช่ของคนรวย! ถ้าคุณไม่เพิ่ม Blocksize คุณก็ทำให้ค่าธรรมเนียมพุ่งจนคนธรรมดาใช้ไม่ได้!”

ขณะเดียวกัน ปีเตอร์ วูเล่ ยืนอยู่ฝั่งตรงข้าม สีหน้าเยือกเย็นราวกับตั้งรับมานาน “การเพิ่มบล็อกคือการทำลายโครงสร้าง Node รายย่อยในระยะยาว แล้วมันจะยังเรียกว่ากระจายอำนาจได้หรือ?”

"ถ้าคุณอยากให้ Bitcoin เป็นของคนรวยเพียงไม่กี่คน ก็เชิญขยายบล็อกไปเถอะนะ แต่ถ้าอยากให้มันเป็นระบบที่คนทุกระดับมีส่วนร่วมจริง ๆ ..คุณต้องฟังเสียง Node รายเล็กด้วย" ปีเตอร์กล่าว

เสียงผู้คนในงานโห่ฮากันอย่างแตกเป็นสองฝ่าย บ้างก็เชียร์ความตรงไปตรงมาของโรเจอร์ บ้างก็เคารพเหตุผลเชิงเทคนิคของปีเตอร์

ข้อความจำนวนมหาศาลในฟอรัมต่างโหมกระพือไปต่าง ๆ นานา มีทั้งคำด่าหยาบคายจนแจ๊กต้องเบือนหน้า ตลอดจนการวิเคราะห์ลึก ๆ ถึงอนาคตของ Bitcoin ที่อาจไม่เหมือนเดิม

ในระหว่างนั้น.. แชมป์ส่งข้อความ Discord กลับมาอีก

“พี่ ถ้า Fork จริง ราคาจะป่วนแค่ไหน? ที่เขาว่าคนถือ BTC จะได้เหรียญใหม่ฟรี ๆ จริงไหม? ผมกลัวว่าถ้าเกิดแบ่งเครือข่ายไม่รู้กี่สาย ตลาดอาจมั่วจนคนหายหมดก็ได้ ใช่ไหมครับ?”

"แล้วถ้าเครือข่ายใหม่ล้มเหลวล่ะครับ? จะส่งผลอะไรต่อชุมชน Bitcoin เดิม?"

"ไอ้แชมป์มึงถามรัวจังวะ!?" แจ๊กสบถเพราะเริ่มตั้งรับไม่ทัน

“ก็ขึ้นกับตลาดจะเชื่อว่าสายไหนเป็น ‘ของจริง’ อีกนั่นแหละ” แจ๊กพิมพ์กลับ

“บางคนถือไว้เผื่อได้เหรียญใหม่ฟรี บางคนขายหนีตายก่อน"

"พี่เองก็ยังไม่กล้าการันตีเลย แต่ที่แน่ ๆ สงครามนี้ไม่ได้มีแค่ผลกำไร มันกระทบศรัทธาของชุมชน Bitcoin ทั้งหมดด้วย"

"ถ้าชาวเน็ตเลิกเชื่อมั่น หรือคนนอกมองว่าพวกเราทะเลาะกันเองเหมือนเด็กแย่งของเล่น ต่อให้ฝั่งไหนชนะ ก็อาจไม่มีผู้ใช้เหลือให้ฉลอง”

แล้วสายตาแจ๊กก็ปะทะกับกระทู้ใหม่ที่เด้งขึ้นมาบนหน้าฟอรัม

“โรเจอร์ แวร์ ประกาศ: ถ้าไม่เพิ่ม Blocksize เราจะฟอร์กเป็น Bitcoin ที่แท้จริง!”

ตัวหนังสือหนาแปะอยู่ตรงนั้นส่งแรงสั่นสะเทือนราวกับจะดึงคนในวงการให้ต้องเลือกข้างกันแบบไม่อาจกลับหลังได้

แจ๊กเอื้อมมือปิดแล็ปท็อปช้า ๆ คล้ายยอมรับความจริงว่าหนทางประนีประนอมอาจไม่มีอีกแล้ว..

“สงครามนี่คงใกล้ระเบิดเต็มทีล่ะนะ” เขาลุกจากเก้าอี้ สะพายเป้ พึมพำกับตัวเองขณะมองกาแฟดำที่เหลือครึ่งแก้ว “ถ้าพวกเขาฟอร์กจริง โลกคริปโตฯ ที่เราเคยรู้จักอาจไม่มีวันเหมือนเดิมอีกต่อไป”

เขามองออกไปนอกหน้าต่าง แสงแดดที่แผดเผาราวกับกำลังบอกว่า.. อนาคตของ Bitcoin อยู่ในจุดที่เส้นแบ่งระหว่างชัยชนะกับความล่มสลายเริ่มพร่าเลือน... และอาจไม่มีทางย้อนกลับ

ก่อนเดินออกจากร้าน เขากดส่งข้อความสั้น ๆ ถึงแชมป์

“เตรียมใจกับความปั่นป่วนไว้ให้ดี ไม่แน่ว่าเราอาจจะได้เห็น Bitcoin แตกเป็นหลายสาย.. ใครจะอยู่ใครจะไปไม่รู้เหมือนกัน แต่เรื่องนี้คงไม่จบง่าย ๆ แน่”

แจ๊กผลักประตูออกไปพบกับแดดจัดที่เหมือนแผดเผากว่าเดิม พายุร้อนไม่ได้มาแค่ในรูปความร้อนกลางกรุง แต่มาในรูป “สงคราม Blocksize” ที่พร้อมจะฉีกชุมชนคริปโตออกเป็นฝักฝ่าย และอาจลามบานปลายจนกลายเป็นศึกประวัติศาสตร์

ทว่าสิ่งที่ค้างคาใจกลับเป็นคำถามนั้น…

เมื่อเครือข่ายแบ่งเป็นหลายสายแล้ว เหรียญไหนจะเป็น Bitcoin จริง?

หรือบางที... ในโลกที่ใครก็ Fork ได้ตามใจ เราจะไม่มีวันได้เห็น “Bitcoin หนึ่งเดียว” อีกต่อไป?

คำถามที่ไม่มีใครตอบได้ชัดนี้ส่องประกายอยู่ตรงปลายทาง ราวกับป้ายเตือนว่า “อันตรายข้างหน้า” และคนในชุมชนทั้งหมดกำลังจะต้องเผชิญ…

โดยไม่มีใครมั่นใจเลยว่าจะรอด หรือจะแตกสลายไปก่อนกันแน่...

สองเส้นทาง (The Forked Path)

กลางปี 2017 ท้องฟ้าเหนือบุรีรัมย์ยังคงคุกรุ่นด้วยไอแดดและความร้อนแรงของสงคราม Blocksize แจ๊ก กู้ดเดย์ ก้าวเข้ามาในคาเฟ่เล็ก ๆ แห่งหนึ่งในย่านเทศบาลด้วยสีหน้าครุ่นคิด เขาพยายามมองหามุมสงบสำหรับนั่งตั้งหลักในโลกความเป็นจริง ก่อนจะจมดิ่งสู่สงครามในโลกดิจิทัลบนฟอรัม Bitcointalk อีกครั้ง

กลิ่นกาแฟคั่วเข้มลอยกระทบจมูก แจ๊กสั่งกาแฟดำแก้วโปรดแล้วปลีกตัวมาที่โต๊ะริมกระจก กระจกบานนั้นสะท้อนแสงอาทิตย์จัดจ้า ราวกับจะบอกว่าวันนี้คงไม่มีใครหนีความร้อนที่กำลังแผดเผา ทั้งในอากาศและในชุมชน Bitcoin ได้พ้น

เขาเปิดแล็ปท็อปขึ้น ล็อกอินเข้า Bitcointalk.org ตามเคย ข้อความและกระทู้มากมายกระหน่ำแจ้งเตือน ไม่ต่างอะไรจากสมรภูมิคำพูดที่ไม่มีวันหลับ “Hong Kong Agreement ล้มเหลวจริงหรือ?” “UASF คือปฏิวัติโดย Node?” เหล่านี้ล้วนสะท้อนความไม่แน่นอนในชุมชน Bitcoin ที่ตอนนี้ ดูคล้ายจะถึงจุดแตกหักเต็มที...

“ทั้งที่ตอนนั้นเราก็พยายามกันแทบตาย…” แจ๊กพึมพำ มองจอด้วยสายตาเหนื่อยใจพร้อมภาพความทรงจำย้อนกลับเข้าในหัว เขายังจำการประชุมที่ฮ่องกงเมื่อต้นปี 2016 ได้แม่น ยามนั้นความหวังในการประนีประนอมระหว่าง Big Block และ Small Block ดูเป็นไปได้ หากแต่กลายเป็นละครฉากใหญ่ที่จบลงโดยไม่มีใครยอมถอย...

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...การประชุม Hong Kong Agreement (2016)

ภายในห้องประชุมหรูของโรงแรมใจกลางย่านธุรกิจฮ่องกง บรรยากาศตึงเครียดยิ่งกว่าการเจรจาสงบศึกในสมัยโบราณ

โรเจอร์ แวร์ ยืนเสนอว่า “การเพิ่ม Blocksize สำคัญต่ออนาคตของ Bitcoin — เราอยากให้คนทั่วไปเข้าถึงได้โดยไม่ต้องจ่ายค่าธรรมเนียมแพง ๆ”

“จิฮั่น อู๋ (Jihan Wu)” จาก Bitmain นั่งฝั่งเดียวกับโรเจอร์ คอยเสริมว่าการเพิ่มบล็อกคือโอกาสสำหรับนักขุด และหากทีม Core ไม่ยอม พวกเขาก็พร้อม “ดัน Fork” ขึ้นได้ทุกเมื่อ ด้วย Hashrate มหาศาลที่พวกเขาคุมไว้

ฝั่ง ปีเตอร์ วูเล (Pieter Wuille) กับ เกร็ก แมกซ์เวลล์ (Greg Maxwell) จาก Bitcoin Core เถียงกลับอย่างใจเย็นว่า “การขยายบล็อกอาจดึงดูดทุนใหญ่ ๆ แล้วไล่ Node รายย่อยออกไป ชุมชนอาจไม่เหลือความกระจายอำนาจอย่างที่ Satoshi ตั้งใจ”

สุดท้าย บทสรุปที่เรียกว่า Hong Kong Agreement ลงนามได้ก็จริง แต่มันกลับเป็นแค่ลายเซ็นบนกระดาษที่ไม่มีฝ่ายไหนเชื่อใจใคร

แจ๊กเบือนสายตาออกนอกหน้าต่าง สังเกตเห็นผู้คนเดินขวักไขว่ บ้างก็ดูรีบร้อน บ้างเดินทอดน่องเหมือนว่างเปล่า นี่คงไม่ต่างอะไรกับชาวเน็ตในฟอรัมที่แบ่งฝ่ายกันใน “สงคราม Blocksize” อย่างไม่มีทีท่าจะหยุด

แค่ไม่กี่นาที... เสียงโทรศัพท์ก็ดังขึ้น ชื่อ แชมป์ ‘PIGROCK’ โชว์หราเต็มจออีกครั้ง

“ว่าไงเจ้าแชมป์?” แจ๊กกรอกเสียงในสายด้วยอารมณ์เหนื่อย ๆ ทว่าพร้อมจะอธิบายเหตุการณ์ตามสไตล์คนที่ชอบครุ่นคิด

“พี่แจ๊ก.. ผมเข้าใจแล้วว่าการประชุมฮ่องกงมันล้มเหลว ตอนนี้ก็มีคนแยกเป็นสองขั้ว Big Block กับ SegWit แต่ผมเจออีกกลุ่มในฟอรัมเรียกว่า UASF (User-Activated Soft Fork) ที่เหมือนจะกดดันพวกนักขุดให้ยอมรับ SegWit..."

"อยากรู้ว่าตกลง UASF มันสำคัญยังไงครับ? ทำไมใคร ๆ ถึงเรียกว่าเป็น การปฏิวัติโดย Node กัน?”

แจ๊กอมยิ้มก่อนจะวางแก้วกาแฟลง พูดด้วยน้ำเสียงจริงจังกว่าเดิม “UASF น่ะหรือ? มันเปรียบได้กับการที่ ‘ชาวนา’ หรือ ‘ประชาชนตัวเล็ก ๆ’ ออกมาประกาศว่า ‘ฉันจะไม่รับบล็อกของนักขุดที่ไม่รองรับ SegWit นะ ถ้าแกไม่ทำตาม ฉันก็จะตัดบล็อกแกทิ้ง!’ เสมือนเป็นการปฏิวัติที่บอกว่าแรงขุดมากแค่ไหนก็ไม่สำคัญ ถ้าคนรัน Node ไม่ยอม… เชนก็เดินต่อไม่ได้”

“โห… ฟังดูแรงจริง ๆ พี่ แล้วถ้านักขุดไม่ร่วมมือ UASF จะเกิดอะไรขึ้น?” แชมป์ถามต่อเสียงสั่นนิด ๆ

“ก็อาจเกิด ‘Chain Split’ ยังไงล่ะ"

"แยกเครือข่ายเป็นสองสาย สุดท้ายเครือข่ายเดิม กับเครือข่ายใหม่ที่รองรับ SegWit ไม่ตรงกัน คนอาจสับสนหนักยิ่งกว่า Hard Fork ปกติด้วยซ้ำ"

"แต่นั่นแหละ... มันแสดงพลังว่าผู้ใช้ทั่วไปก็มีสิทธิ์กำหนดทิศทาง Bitcoin ไม่ได้น้อยไปกว่านักขุดเลย”

“เข้าใจแล้วครับพี่… เหมือน การปฏิวัติโดยประชาชนตาดำ ๆ ที่จับมือกันค้านอำนาจทุนใหญ่ใช่ไหม?” แชมป์หยุดครู่หนึ่ง “ผมเคยคิดว่า Node รายย่อยน้อยรายจะไปสู้อะไรไหว แต่ตอนนี้ดูท่าจะเปลี่ยนเกมได้จริงว่ะพี่…”

“ใช่เลย” แจ๊กตอบ

“นี่เป็นความพิเศษของ Bitcoin ที่บอกว่า ‘เราคุมเครือข่ายร่วมกัน’ แม้แต่ Bitmain ที่มี Hashrate มากกว่า 50% ก็หนาวได้ถ้าผู้ใช้หรือ Node รายย่อยรวมพลังกันมากพอ”

แชมป์ฟังด้วยความตื่นเต้นปนกังวล “แล้วแบบนี้ เรื่อง SegWit กับ Blocksize จะจบยังไงครับ? เห็นข่าวว่าถ้านักขุดโดนกดดันมาก ๆ คนอย่าง จิฮั่น อู๋ อาจออกไปสนับสนุน Bitcoin Cash ที่จะเปิดบล็อกใหญ่”

แจ๊กเลื่อนดูฟีดข่าวในฟอรัม Bitcointalk อีกครั้ง ก็เห็นพาดหัวชัด ๆ

“Bitmain ประกาศกร้าวพร้อมหนุน BCH เต็มพิกัด!”

เขาถอนหายใจเฮือกหนึ่ง “ก็ใกล้เป็นจริงแล้วล่ะ… โรเจอร์ แวร์ เองก็ผลักดัน BCH ว่าคือ Bitcoin แท้ที่ค่าธรรมเนียมถูก ใช้งานได้จริง ส่วนฝั่ง BTC ที่ยึดเอา SegWit เป็นหลัก ก็ไม่ยอมให้ Blocksize เพิ่มใหญ่เกินจำเป็น.."

"ต่างคนต่างมีเหตุผล... แต่อุดมการณ์นี่คนละทางเลย”

“แล้วพี่คิดว่าใครจะเป็นฝ่ายชนะครับ?”

“เฮ้ย.. มึงถามยากไปหรือเปล่า” แจ๊กหัวเราะหึ ๆ “ทุกคนมีโอกาสได้หมด และก็มีโอกาสพังหมดเหมือนกัน ถ้า UASF กดดันนักขุดให้อยู่กับ Core ได้ พวกเขาอาจยอมแพ้ แต่ถ้า Bitmain เทใจไป BCH นักขุดรายใหญ่คนอื่น ๆ ก็คงตาม"

"แล้วถ้าฝั่ง BCH เริ่มได้เปรียบ... อาจดึงคนไปเรื่อย ๆ สุดท้ายจะเหลือไหมล่ะฝั่ง SegWit ตัวจริง?”

“งั้น Node รายย่อยจะยืนอยู่ตรงไหนล่ะครับพี่?” แชมป์ถามอย่างหนักใจ

“Node รายย่อยและชุมชนผู้ใช้นี่แหละ คือ ตัวแปรชี้ขาด ทุกวันนี้คนกลุ่ม UASF พยายามโชว์พลังว่าตัวเองมีสิทธิ์ตั้งกติกาเหมือนกัน ไม่ใช่แค่นักขุด"

"อย่างที่บอก.. มันคือการ ‘ลุกขึ้นปฏิวัติ’ โดยชาวนา ต่อสู้กับเจ้าที่ที่ถือ ‘แฮชเรต’ เป็นอาวุธ”

แจ๊กตบบ่าตัวเองเบา ๆ ก่อนจะหัวเราะเล็กน้อย

“นี่แหละความมันของ Bitcoin ไม่มีเจ้าไหนสั่งได้เบ็ดเสร็จจริง ๆ ทุกฝั่งต่างถือไพ่คนละใบ สงครามยังไม่รู้จะจบยังไง ถึงอย่างนั้นมันก็สะท้อนวิญญาณ ‘decentralization’ ที่แท้จริง กล้ายอมรับสิทธิ์ทุกฝ่ายเพื่อแข่งขันกันตามกติกา”

จู่ ๆ ในหน้าฟอรัมก็มีกระทู้ใหม่เด้งเด่น “Bitmain หนุน Bitcoin Cash ด้วย Hashrate กว่า 50%! สงครามเริ่มแล้ว?” ข้อความนั้นดังโครมครามเหมือนระเบิดลงกลางวง

แจ๊กนิ่งไปชั่วขณะ สัมผัสได้ถึงความปั่นป่วนที่กำลังปะทุขึ้นอีกครั้ง เหงื่อบางเบาซึมบนหน้าผากแม้อากาศในคาเฟ่จะเย็นฉ่ำ เขาหันมองโทรศัพท์ที่ยังค้างสายกับแชมป์ แล้วเอ่ยด้วยน้ำเสียงจริงจัง

“นี่ล่ะ.. จุดเริ่มของสองเส้นทางอย่างชัดเจน… บล็อกใหญ่จะไปกับ BCH ส่วน SegWit ก็อยู่กับ BTC แน่นอนว่าทั้งสองฝ่ายไม่คิดถอยง่าย ๆ นักขุดจะเลือกข้างไหน? Node รายย่อยจะยอมใคร?"

"เมื่อสงครามครั้งนี้นำไปสู่การแบ่งเครือข่าย ใครกันแน่จะเป็นผู้ชนะตัวจริง? หรืออาจไม่มีผู้ชนะเลยก็เป็นได้”

ปลายสายเงียบงัน มีแต่เสียงหายใจของแชมป์ที่สะท้อนความกังวลปนอยากรู้อย่างแรง

“พี่… สุดท้ายแล้วเรากำลังยืนอยู่บนรอยแยกที่พร้อมจะฉีกทุกอย่างออกเป็นชิ้น ๆ ใช่ไหมครับ?”

“อาจจะใช่ก็ได้... หรือถ้ามองอีกมุม อาจเป็นวัฏจักรที่ Bitcoin ต้องเจอเป็นระยะ ทุกคนมีสิทธิ์ Fork ได้ตามใจใช่ไหมล่ะ? ก็ขอให้โลกได้เห็นกันว่าชุมชนไหนแน่จริง” แจ๊กพูดทิ้งท้ายก่อนจะแย้มยิ้มเจือรอยอ่อนล้า

ภาพบนจอคอมพิวเตอร์ฉายกระทู้ถกเถียงกันไม่หยุด ประหนึ่งเวทีดีเบตที่ไม่มีวันปิดไฟ แจ๊กจิบกาแฟอึกสุดท้ายเหมือนจะเตรียมพร้อมใจก่อนเข้าสู่สนามรบครั้งใหม่ สงครามยังไม่จบ.. ซ้ำยังดูหนักข้อยิ่งขึ้นเรื่อย ๆ

เขาลุกขึ้นจากโต๊ะ ชำเลืองมองแสงแดดจัดจ้าที่สาดลงมาไม่หยุด เปรียบเหมือนไฟแห่งข้อขัดแย้งที่เผาผลาญทั้งชุมชน Bitcoin ไม่ว่าใครจะเลือกอยู่ฝั่งไหน กลุ่ม UASF, กลุ่ม Big Block, หรือ กลุ่ม SegWit ทางเดินข้างหน้าล้วนเต็มไปด้วยความไม่แน่นอน

“สุดท้ายแล้ว… เมื่อกระดานแบ่งเป็นสองเส้นทางอย่างเด่นชัด สงคราม Blocksize จะจบลงด้วยใครได้บทผู้ชนะ?"

"หรือบางที… มันอาจไม่มีผู้ชนะที่แท้จริงในระบบที่ใครก็ Fork ได้ตลอดเวลา”

คำถามนี้ลอยติดค้างอยู่ในบรรยากาศยามบ่ายที่ร้อนระอุ ชวนให้ใครก็ตามที่จับตาดูสงคราม Blocksize ต้องฉุกคิด

เมื่อไม่มีใครเป็นเจ้าของ Bitcoin อย่างสมบูรณ์ ทุกคนจึงมีสิทธิ์บงการและเสี่ยงต่อการแตกแยกได้ทุกเมื่อ แล้วท้ายที่สุด ชัยชนะ–ความพ่ายแพ้ อาจไม่ใช่จุดสิ้นสุดของโลกคริปโตฯ

แต่เป็นเพียงจุดเริ่มต้นของการวิวัฒน์ที่ไม่มีวันจบสิ้น…

เมาท์แถมเรื่อง UASF (User-Activated Soft Fork)

นี่สนามรบยุคกลางที่ดูเหมือนในหนังแฟนตาซี ทุกคนมีดาบ มีโล่ แต่จู่ ๆ คนตัวเล็กที่เราไม่เคยสังเกต—พวกชาวนา ช่างไม้ คนแบกน้ำ—กลับรวมตัวกันยกดาบบุกวังเจ้าเมือง พร้อมตะโกนว่า “พอเถอะ! เราก็มีสิทธิ์เหมือนกัน!”

มันอาจจะดูเวอร์ ๆ หน่อยใช่ไหมครับ?

แต่ในโลก Bitcoin ปี 2017 นี่คือสิ่งที่เกิดขึ้นในรูปแบบ “User-Activated Soft Fork” หรือ UASF การปฏิวัติด้วยพลังโหนด ซึ่งทำให้นักขุดยักษ์ใหญ่ตัวสั่นงันงกันมาแล้ว!

แล้ว UASF มันคืออะไรล่ะ?

“User-Activated Soft Fork” หรือเรียกย่อ ๆ ว่า “UASF” ไม่ใช่อัปเกรดซอฟต์แวร์สวย ๆ แต่เป็น “ดาบเล่มใหม่” ที่คนตัวเล็ก—หมายถึง โหนด รายย่อย—ใช้ต่อรองกับนักขุดรายใหญ่ โดยกติกาคือ.. ถ้านักขุดไม่ทำตาม (เช่น ไม่รองรับ SegWit) โหนดก็จะปฏิเสธบล็อกของพวกเขาอย่างไม่เกรงใจใคร

สมมุติว่าคุณคือโหนด..

คุณรันซอฟต์แวร์ Bitcoin คอยตรวจสอบธุรกรรม วันดีคืนดี คุณประกาศ “ต่อไปถ้าใครไม่รองรับ SegWit ฉันไม่ยอมรับบล็อกนะ!” นี่ล่ะครับ “UASF” ตัวเป็น ๆ

คำขวัญสุดฮิตของ UASF

“No SegWit, No Block”

หรือแปลว่าถ้าบล็อกไม่รองรับ SegWit ก็เชิญออกไปเลยจ้า..

มันเหมือนการที่ชาวนาโผล่มาตบโต๊ะอาหารท่านขุนว่า “นายใหญ่จะปลูกอะไรก็ปลูกไป แต่ไม่งั้นฉันไม่รับผลผลิตนายนะ!”

ความเชื่อมโยงกับ BIP 148

ถ้าจะพูดถึง UASF ต้องรู้จัก BIP 148 ไว้นิดนึง มันเปรียบเหมือน “ธงปฏิวัติ” ที่ตีตราว่าวันที่ 1 สิงหาคม 2017 คือเส้นตาย!

BIP 148 บอกไว้ว่า.. ถ้าถึงวันนั้นแล้วยังมีนักขุดหน้าไหนไม่รองรับ SegWit บล็อกที่ขุดออกมาก็จะถูกโหนดที่ใช้ UASF “แบน” หมด

ผลลัพธ์ที่ตั้งใจ นักขุดไม่อยากโดนแบนก็ต้องทำตาม UASF กล่าวคือ “นายต้องรองรับ SegWit นะ ไม่งั้นอด!”

หลายคนกลัวกันว่า “อ้าว ถ้านักขุดใหญ่ ๆ ไม่ยอมแล้วหันไปขุดสายอื่น จะไม่กลายเป็นแยกเครือข่าย (Chain Split) หรือ?”

ใช่ครับ.. มันอาจเกิดสงครามสายใหม่ทันทีไงล่ะ

ทำไม UASF ถึงสำคัญ?

ย้อนกลับไปก่อนปี 2017 Bitcoin มีปัญหาโลกแตกทั้งค่าธรรมเนียมแพง ธุรกรรมหน่วง บวกกับความขัดแย้งเรื่อง “จะเพิ่ม Blocksize ดีไหม?” ทางกลุ่มนักขุดรายใหญ่ (นำโดย Bitmain, Roger Ver ฯลฯ) รู้สึกว่า “SegWit ไม่ใช่ทางออกที่แท้จริง” แต่อีกฝั่ง (ทีม Core) ชี้ว่า “Blocksize ใหญ่มากไปจะรวมศูนย์นะ โหนดรายย่อยตายหมด”

UASF เลยโผล่มา เหมือนชาวนาตะโกนว่า

“หุบปากได้แล้วไอ้พวกที่สู้กัน! ถ้าพวกแกไม่รองรับ SegWit พวกข้า (โหนด) ก็จะไม่เอาบล็อกแก”

สาระก็คือ.. มันคือตัวบ่งชี้ว่าคนตัวเล็กอย่างโหนดรายย่อยก็มีพลังต่อรอง เป็นกลไกที่ดึงอำนาจจากมือทุนใหญ่กลับสู่มือชุมชน (Decentralization ที่แท้ทรู)

วิธีการทำงานของ UASF

ลองจินตนาการตาม..

1. การกำหนดเส้นตาย BIP 148 ประกาศไว้ “ถึงวันที่ 1 สิงหาคม 2017 ถ้านายยังไม่รองรับ SegWit โหนด UASF จะไม่รับบล็อกนาย”

2. ถ้าคุณเป็นนักขุด… คุณขุดบล็อกออกมา แต่ไม่ได้ตีธง “ฉันรองรับ SegWit” UASF โหนดเห็นปุ๊บ พวกเขาจะจับโยนทิ้งไปเลย

3. ผลกระทบ? นักขุดที่ไม่ยอมทำตามจะเจอปัญหา บล็อกที่ขุดออกมาไม่มีใครรับ—เสียแรงขุดฟรี

อาจเกิด Chain Split คือ แยกเครือข่ายเลย ถ้านักขุดเหล่านั้นไปตั้งสายใหม่

ความสำเร็จและความท้าทายของ UASF

ความสำเร็จ.. หลังการรวมพลังผู้ใช้ โหนดรายย่อยกดดันนักขุดได้ไม่น้อย จนกระทั่ง SegWit เปิดใช้งานจริงใน Bitcoin วันที่ 24 สิงหาคม 2017 ช่วยให้ธุรกรรมเร็วขึ้น แก้ Transaction Malleability และเปิดทางสู่ Lightning Network ในอนาคต

ความท้าทาย.. นักขุดบางค่ายไม่โอเค.. โดยเฉพาะ Bitmain ซึ่งคาดว่าจะสูญรายได้บางส่วน ก็นำไปสู่การสนับสนุน “Bitcoin Cash (BCH)” แยกสาย (Hard Fork) ของตัวเองตั้งแต่วันที่ 1 สิงหาคม 2017 นั่นเอง

ว่าแล้วก็เปรียบง่าย ๆ

UASF เหมือนปฏิบัติการยึดคฤหาสน์เจ้าเมืองมาเปิดให้ชาวบ้านเข้าอยู่ฟรี.. แต่อีกฝ่ายบอก

“งั้นฉันออกไปตั้งคฤหาสน์ใหม่ดีกว่า!”

บทเรียนสำคัญ UASF เป็นตัวอย่างชัดว่า “ผู้ใช้” หรือ โหนดรายย่อย สามารถสร้างแรงกดดันให้นักขุดต้องยอมเปลี่ยนได้จริง ๆ ไม่ใช่แค่ยอมรับเงื่อนไขที่ขุดกันมา

ผลกระทบระยะยาวหลังจากนั้นล่ะ?

SegWit ถูกใช้งาน ทำให้ค่าธรรมเนียมธุรกรรมลดลง (ช่วงหนึ่ง) เกิด Lightning Network เป็น Layer 2 สุเฟี้ยวของ Bitcoin เกิด BCH (Bitcoin Cash) เป็นสายแยกที่อ้างว่า Blocksize ใหญ่คือทางออก

สรุปแล้ว UASF ทำให้โลกได้รู้ว่า..

Bitcoin ไม่ใช่ของนักขุด หรือของฝ่ายพัฒนาใดฝ่ายเดียว แต่มันเป็นของทุกคน!

“Bitcoin เป็นของทุกคน”

ไม่มีใครมีอำนาจเบ็ดเสร็จ ไม่ว่าคุณจะถือ Hashrate มากแค่ไหน ถ้า Node ทั่วโลกไม่เอา ก็จบ!

“แรงขุดใหญ่แค่ไหน ก็แพ้ใจมวลชน!”

(น่าจะมีตอนต่อไปนะ.. ถ้าชอบก็ Zap โหด ๆ เป็นกำลังใจให้ด้วยนะครับ)

@ 3c984938:2ec11289

Bienvenide a Nostr!

Introduccíon

Es tu primera vez aqui en Nostr? Bienvenides! Nostr es un acrónimo raro para "Notes and Other Stuff Transmitted by Relays" on un solo objetivo; resistirse a la censura. Una alternativa a las redes sociales tradicionales, comunicaciónes, blogging, streaming, podcasting, y feventualmente el correo electronico (en fase de desarrollo) con características descentralizadas que te capacita, usario. Jamas seras molestado por un anuncio, capturado por una entidad centralizada o algoritmo que te monetiza.

Permítame ser su anfitrión! Soy Onigiri! Yo estoy explorando el mundo de Nostr, un protocolo de comunicacíon decentralizada. Yo escribo sobre las herramientas y los desarolladores increíbles de Nostr que dan vida a esta reino.

Bienvenides a Nostr Wonderland

Estas a punto de entrar a un otro mundo digtal que te hará explotar tu mente de todas las aplicaciones descentralizadas, clientes, sitios que puedes utilizar. Nunca volverás a ver a las comunicaciones ni a las redes sociales de la mesma manera. Todo gracias al carácter criptográfico de nostr, inpirado por la tecnología "blockchain". Cada usario, cuando crean una cuenta en Nostr, recibe un par de llaves: una privada y una publico. Estos son las llaves de tu propio reino. Lo que escribes, cantes, grabes, lo que creas - todo te pertenece.

Unos llaves de Oro y Plata

Mi amigo y yo llamamos a esto "identidad mediante cifrado" porque tu identidad es cifrado. Tu puedes compartir tu llave de plata "npub" a otros usarios para conectar y seguir. Utiliza tu llave de oro "nsec" para accedar a tu cuenta y exponerte a muchas aplicaciones. Mantenga la llave a buen recaudo en todo momento. Ya no hay razor para estar enjaulado por los terminos de plataformas sociales nunca más.

Onigirl npub18jvyjwpmm65g8v9azmlvu8knd5m7xlxau08y8vt75n53jtkpz2ys6mqqu3

Todavia No tienes un cliente? Seleccione la mejor opción.

Encuentra la aplicación adecuada para ti! Utilice su clave de oro "nsec" para acceder a estas herramientas maravillosas. También puedes visit a esta pagina a ver a todas las aplicaciones. Antes de pegar tu llave de oro en muchas aplicaciones, considera un "signer" (firmante) para los sitios web 3. Por favor, mire la siguiente imagen para más detalles. Consulte también la leyenda.

Get a Signer extension via chrome webstore

Un firmante (o "signer" en inglés) es una extensión del navegador web. Nos2x and NostrConnect son extensiónes ampliamente aceptado para aceder a Nostr. Esto simplifica el proceso de aceder a sitios "web 3". En lugar de copiar y pegar la clave oro "nsec" cada vez, la mantienes guardado en la extensión y le des permiso para aceder a Nostr.

👉⚡⚡Obtén una billetera Bitcoin lightning para enviar/recibir Zaps⚡⚡ (Esto es opcional)

Aqui en Nostr, utilizamos la red Lightning de Bitcoin (L2). Nesitaras una cartera lightning para enviar y recibir Satoshis, la denominacion mas chiquita de un Bitcoin. (0.000000001 BTC) Los "zaps" son un tipo de micropago en Nostr. Si te gusta el contenido de un usario, es norma dejarle una propina en la forma de un ¨zap". Por ejemplo, si te gusta este contenido, tu me puedes hacer "zap" con Satoshis para recompensar mi trabajo. Pero apenas llegaste, as que todavia no tienes una cartera. No se preocupe, puedo ayudar en eso!

"Stacker.News" es una plataforma donde los usarios pueden ganar SATS por publicar articulos y interactuar con otros.

Stacker.News es el lugar mas facil para recibir una direccion de cartera Bitcoin Lightning.

1. Acedese con su extensión firmante "signer" - Nos2x or NostrConnect - hace click en tu perfil, un codigo de letras y numeros en la mano superior derecha. Veás algo como esto
2. Haga clic en "edit" y elija un nombre que te guste. Se puede cambiar si deseas en el futuro.
3. Haga clic en "save"
4. Crea una biografía y la comunidad SN son muy acogedora. Te mandarán satoshi para darte la bienvenida.
5. Tu nueva direccion de cartera Bitcoin Lightning aparecerá asi ^^No le mandas "zaps" a esta direccion; es puramente con fines educativos.
6. Con tu Nueva dirección de monedero Bitcoin Lightning puedes ponerla en cualquier cliente o app de tu elección. Para ello, ve a tu página de perfil y bajo la dirección de tu monedero en "Dirección Lightning", introduce tu nueva dirección y pulsa "guardar " y ya está. Enhorabuena.

👉✨Con el tiempo, es posible que desee pasar a las opciones de auto-custodia y tal vez incluso considerar la posibilidad de auto-alojar su propio nodo LN para una mejor privacidad. La buena noticia es que stacker.news tambien está dejando de ser una cartera custodio.

⭐NIP-05-identidad DNS⭐ Al igual que en Twitter, una marca de verificación es para mostrar que eres del mismo jardín "como un humano", y no un atípico como una mala hierba o, "bot". Pero no de la forma nefasta en que lo hacen las grandes tecnológicas. En el país de las maravillas de Nostr, esto te permite asignar tu llave de plata, "npub", a un identificador DNS. Una vez verificado, puedes gritar para anunciar tu nueva residencia Nostr para compartir.

✨Hay un montón de opciones, pero si has seguido los pasos, esto se vuelve extremadamente fácil.

👉✅¡Haz clic en tu "Perfil ", luego en "Configuración ", desplázate hasta la parte inferior y pega tu clave Silver, "npub!" y haz clic en "Guardar " y ¡listo! Utiliza tu monedero relámpago de Stacker.news como tu NIP-05. ¡¡¡Enhorabuena!!! ¡Ya estás verificado! Dale unas horas y cuando uses tu cliente "principal " deberías ver una marca de verificación.

Nostr, el infonformista de los servidores.

En lugar de utilizar una única instancia o un servidor centralizado, Nostr está construido para que varias bases de datos intercambien mensajes mediante "relés". Los relés, que son neutrales y no discriminatorios, almacenan y difunden mensajes públicos en la red Nostr. Transmiten mensajes a todos los demás clientes conectados a ellos, asegurando las comunicaciones en la red descentralizada.

¡Mis amigos en Nostr te dan la bienvenida!

Bienvenida a la fiesta. ¿Le apetece un té?🍵

¡Hay mucho mas!

Esto es la punta del iceberg. Síguenme mientras continúo explorando nuevas tierras y a los desarolladores, los caballeres que potencioan este ecosistema. Encuéntrame aquí para mas contenido como este y comparten con otros usarios de nostr. Conozca a los caballeres que luchan por freedomTech (la tecnología de libertad) en Nostr y a los proyectos a los que contribuyen para hacerla realidad.💋

Onigirl @npub18jvyjwpmm65g8v9azmlvu8knd5m7xlxau08y8vt75n53jtkpz2ys6mqqu3

---

🧡😻Esta guía ha sido cuidadosamente traducida por miggymofongo

Puede seguirla aquí. @npub1ajt9gp0prf4xrp4j07j9rghlcyukahncs0fw5ywr977jccued9nqrcc0cs

sitio web

@ 6871d8df:4a9396c1

Embracing AI: A Case for AI Accelerationism

In an era where artificial intelligence (AI) development is at the forefront of technological innovation, a counter-narrative championed by a group I refer to as the 'AI Decels'—those advocating for the deceleration of AI advancements— seems to be gaining significant traction. After tuning into a recent episode of the Joe Rogan Podcast, I realized that the prevailing narrative around AI was heading in a dangerous direction. Rogan had Aza Raskin and Tristan Harris, technology safety advocates, who released a talk called 'The AI Dilemma,' on for a discussion. You may know them from the popular documentary 'The Social Dilemma' on the dangers of social media. It became increasingly clear that the cautionary stance dominating this discourse might be tipping the scales too far, veering towards an over-regulated future that stifles innovation rather than fostering it.

Are we moving too fast?

While acknowledging AI's benefits, Aza and Tristan fear it could be dangerous if not guided by ethical standards and safeguards. They believe AI development is moving too quickly and that the right incentives for its growth are not in place. They are concerned about the possibility of "civilizational overwhelm," where advanced AI technology far outpaces 21st-century governance. They fear a scenario where society and its institutions cannot manage or adapt to the rapid changes and challenges introduced by AI.

They argue for regulating and slowing down AI development due to rapid, uncontrolled advancement driven by competition among companies like Google, OpenAI, and Microsoft. They claim this race can lead to unsafe releases of new technologies, with AI systems exhibiting unpredictable, emergent behaviors, posing significant societal risks. For instance, AI can inadvertently learn tasks like sentiment analysis or human emotion understanding, creating potential for misuse in areas like biological weapons or cybersecurity vulnerabilities.

Moreover, AI companies' profit-driven incentives often conflict with the public good, prioritizing market dominance over safety and ethics. This misalignment can lead to technologies that maximize engagement or profits at societal expense, similar to the negative impacts seen with social media. To address these issues, they suggest government regulation to realign AI companies' incentives with safety, ethical considerations, and public welfare. Implementing responsible development frameworks focused on long-term societal impacts is essential for mitigating potential harm.

This isn't new

Though the premise of their concerns seems reasonable, it's dangerous and an all too common occurrence with the emergence of new technologies. For example, in their example in the podcast, they refer to the technological breakthrough of oil. Oil as energy was a technological marvel and changed the course of human civilization. The embrace of oil — now the cornerstone of industry in our age — revolutionized how societies operated, fueled economies, and connected the world in unprecedented ways. Yet recently, as ideas of its environmental and geopolitical ramifications propagated, the narrative around oil has shifted.

Tristan and Aza detail this shift and claim that though the period was great for humanity, we didn't have another technology to go to once the technological consequences became apparent. The problem with that argument is that we did innovate to a better alternative: nuclear. However, at its technological breakthrough, it was met with severe suspicions, from safety concerns to ethical debates over its use. This overregulation due to these concerns caused a decades-long stagnation in nuclear innovation, where even today, we are still stuck with heavy reliance on coal and oil. The scare tactics and fear-mongering had consequences, and, interestingly, they don't see the parallels with their current deceleration stance on AI.

These examples underscore a critical insight: the initial anxiety surrounding new technologies is a natural response to the unknowns they introduce. Yet, history shows that too much anxiety can stifle the innovation needed to address the problems posed by current technologies. The cycle of discovery, fear, adaptation, and eventual acceptance reveals an essential truth—progress requires not just the courage to innovate but also the resilience to navigate the uncertainties these innovations bring.

Moreover, believing we can predict and plan for all AI-related unknowns reflects overconfidence in our understanding and foresight. History shows that technological progress, marked by unexpected outcomes and discoveries, defies such predictions. The evolution from the printing press to the internet underscores progress's unpredictability. Hence, facing AI's future requires caution, curiosity, and humility. Acknowledging our limitations and embracing continuous learning and adaptation will allow us to harness AI's potential responsibly, illustrating that embracing our uncertainties, rather than pretending to foresee them, is vital to innovation.

The journey of technological advancement is fraught with both promise and trepidation. Historically, each significant leap forward, from the dawn of the industrial age to the digital revolution, has been met with a mix of enthusiasm and apprehension. Aza Raskin and Tristan Harris's thesis in the 'AI Dilemma' embodies the latter.

Who defines "safe?"

When slowing down technologies for safety or ethical reasons, the issue arises of who gets to define what "safe" or “ethical” mean? This inquiry is not merely technical but deeply ideological, touching the very core of societal values and power dynamics. For example, the push for Diversity, Equity, and Inclusion (DEI) initiatives shows how specific ideological underpinnings can shape definitions of safety and decency.

Take the case of the initial release of Google's AI chatbot, Gemini, which chose the ideology of its creators over truth. Luckily, the answers were so ridiculous that the pushback was sudden and immediate. My worry, however, is if, in correcting this, they become experts in making the ideological capture much more subtle. Large bureaucratic institutions' top-down safety enforcement creates a fertile ground for ideological capture of safety standards.

I claim that the issue is not the technology itself but the lens through which we view and regulate it. Suppose the gatekeepers of 'safety' are aligned with a singular ideology. In that case, AI development would skew to serve specific ends, sidelining diverse perspectives and potentially stifling innovative thought and progress.

In the podcast, Tristan and Aza suggest such manipulation as a solution. They propose using AI for consensus-building and creating "shared realities" to address societal challenges. In practice, this means that when individuals' viewpoints seem to be far apart, we can leverage AI to "bridge the gap." How they bridge the gap and what we would bridge it toward is left to the imagination, but to me, it is clear. Regulators will inevitably influence it from the top down, which, in my opinion, would be the opposite of progress.

In navigating this terrain, we must advocate for a pluralistic approach to defining safety, encompassing various perspectives and values achieved through market forces rather than a governing entity choosing winners. The more players that can play the game, the more wide-ranging perspectives will catalyze innovation to flourish.

Ownership & Identity

Just because we should accelerate AI forward does not mean I do not have my concerns. When I think about what could be the most devastating for society, I don't believe we have to worry about a Matrix-level dystopia; I worry about freedom. As I explored in "Whose data is it anyway?," my concern gravitates toward the issues of data ownership and the implications of relinquishing control over our digital identities. This relinquishment threatens our privacy and the integrity of the content we generate, leaving it susceptible to the inclinations and profit of a few dominant tech entities.

To counteract these concerns, a paradigm shift towards decentralized models of data ownership is imperative. Such standards would empower individuals with control over their digital footprints, ensuring that we develop AI systems with diverse, honest, and truthful perspectives rather than the massaged, narrow viewpoints of their creators. This shift safeguards individual privacy and promotes an ethical framework for AI development that upholds the principles of fairness and impartiality.

As we stand at the crossroads of technological innovation and ethical consideration, it is crucial to advocate for systems that place data ownership firmly in the hands of users. By doing so, we can ensure that the future of AI remains truthful, non-ideological, and aligned with the broader interests of society.

But what about the Matrix?

I know I am in the minority on this, but I feel that the concerns of AGI (Artificial General Intelligence) are generally overblown. I am not scared of reaching the point of AGI, and I think the idea that AI will become so intelligent that we will lose control of it is unfounded and silly. Reaching AGI is not reaching consciousness; being worried about it spontaneously gaining consciousness is a misplaced fear. It is a tool created by humans for humans to enhance productivity and achieve specific outcomes.

At a technical level, large language models (LLMs) are trained on extensive datasets and learning patterns from language and data through a technique called "unsupervised learning" (meaning the data is untagged). They predict the next word in sentences, refining their predictions through feedback to improve coherence and relevance. When queried, LLMs generate responses based on learned patterns, simulating an understanding of language to provide contextually appropriate answers. They will only answer based on the datasets that were inputted and scanned.

AI will never be "alive," meaning that AI lacks inherent agency, consciousness, and the characteristics of life, not capable of independent thought or action. AI cannot act independently of human control. Concerns about AI gaining autonomy and posing a threat to humanity are based on a misunderstanding of the nature of AI and the fundamental differences between living beings and machines. AI spontaneously developing a will or consciousness is more similar to thinking a hammer will start walking than us being able to create consciousness through programming. Right now, there is only one way to create consciousness, and I'm skeptical that is ever something we will be able to harness and create as humans. Irrespective of its complexity — and yes, our tools will continue to become evermore complex — machines, specifically AI, cannot transcend their nature as non-living, inanimate objects programmed and controlled by humans.
The advancement of AI should be seen as enhancing human capabilities, not as a path toward creating autonomous entities with their own wills. So, while AI will continue to evolve, improve, and become more powerful, I believe it will remain under human direction and control without the existential threats often sensationalized in discussions about AI's future.

With this framing, we should not view the race toward AGI as something to avoid. This will only make the tools we use more powerful, making us more productive. With all this being said, AGI is still much farther away than many believe.

Today's AI excels in specific, narrow tasks, known as narrow or weak AI. These systems operate within tightly defined parameters, achieving remarkable efficiency and accuracy that can sometimes surpass human performance in those specific tasks. Yet, this is far from the versatile and adaptable functionality that AGI represents.

Moreover, the exponential growth of computational power observed in the past decades does not directly translate to an equivalent acceleration in achieving AGI. AI's impressive feats are often the result of massive data inputs and computing resources tailored to specific tasks. These successes do not inherently bring us closer to understanding or replicating the general problem-solving capabilities of the human mind, which again would only make the tools more potent in our hands.

While AI will undeniably introduce challenges and change the aspects of conflict and power dynamics, these challenges will primarily stem from humans wielding this powerful tool rather than the technology itself. AI is a mirror reflecting our own biases, values, and intentions. The crux of future AI-related issues lies not in the technology's inherent capabilities but in how it is used by those wielding it. This reality is at odds with the idea that we should slow down development as our biggest threat will come from those who are not friendly to us.

AI Beget's AI

While the unknowns of AI development and its pitfalls indeed stir apprehension, it's essential to recognize the power of market forces and human ingenuity in leveraging AI to address these challenges. History is replete with examples of new technologies raising concerns, only for those very technologies to provide solutions to the problems they initially seemed to exacerbate. It looks silly and unfair to think of fighting a war with a country that never embraced oil and was still primarily getting its energy from burning wood. The evolution of AI is no exception to this pattern. As we venture into uncharted territories, the potential issues that arise with AI—be it ethical concerns, use by malicious actors, biases in decision-making, or privacy intrusions—are not merely obstacles but opportunities for innovation. It is within the realm of possibility, and indeed, probability, that AI will play a crucial role in solving the problems it creates. The idea that there would be no incentive to address and solve these problems is to underestimate the fundamental drivers of technological progress.

Market forces, fueled by the demand for better, safer, and more efficient solutions, are powerful catalysts for positive change. When a problem is worth fixing, it invariably attracts the attention of innovators, researchers, and entrepreneurs eager to solve it. This dynamic has driven progress throughout history, and AI is poised to benefit from this problem-solving cycle.

Thus, rather than viewing AI's unknowns as sources of fear, we should see them as sparks of opportunity. By tackling the challenges posed by AI, we will harness its full potential to benefit humanity. By fostering an ecosystem that encourages exploration, innovation, and problem-solving, we can ensure that AI serves as a force for good, solving problems as profound as those it might create. This is the optimism we must hold onto—a belief in our collective ability to shape AI into a tool that addresses its own challenges and elevates our capacity to solve some of society's most pressing issues.

An AI Future

The reality is that it isn't whether AI will lead to unforeseen challenges—it undoubtedly will, as has every major technological leap in history. The real issue is whether we let fear dictate our path and confine us to a standstill or embrace AI's potential to address current and future challenges.

The approach to solving potential AI-related problems with stringent regulations and a slowdown in innovation is akin to cutting off the nose to spite the face. It's a strategy that risks stagnating the U.S. in a global race where other nations will undoubtedly continue their AI advancements. This perspective dangerously ignores that AI, much like the printing press of the past, has the power to democratize information, empower individuals, and dismantle outdated power structures.

The way forward is not less AI but more of it, more innovation, optimism, and curiosity for the remarkable technological breakthroughs that will come. We must recognize that the solution to AI-induced challenges lies not in retreating but in advancing our capabilities to innovate and adapt.

AI represents a frontier of limitless possibilities. If wielded with foresight and responsibility, it's a tool that can help solve some of the most pressing issues we face today. There are certainly challenges ahead, but I trust that with problems come solutions. Let's keep the AI Decels from steering us away from this path with their doomsday predictions. Instead, let's embrace AI with the cautious optimism it deserves, forging a future where technology and humanity advance to heights we can't imagine.

@ dd664d5e:5633d319

Ingredients

• 1 kg of pork roast with rind, such as shoulder or a lean belly
• 1 bottle of beer, light or dark
• chopped German-style mirepoix (best combination, for this recipe, includes celery root, carrot, red onion, and leeks)
• salt, pepper, nutmeg
• 1 diced garlic clove

Directions

1. Spread the vegetables on the bottom of the roasting pan.
2. Pour half the beer over the roast. (Drink the other half.)
3. Season the meat, to taste.
4. Roast the meat at 180 °C, until done (depends upon the weight of the roast).
5. Remove the meat from the oven, and wrap in aluminum foil.
6. Pour 2-3 cups of water into the roasting pan.
7. Pour/scrape everything from the pan into a sieve over a sauce pot.
8. Press the vegetables against the sieve, with the back of a spoon, to ensure that you get all that good dripping flavor into the sauce.
9. Defat the sauce with a grease separator, then pour it back into the pot.
10. Thicken the sauce, slightly (it should remain slightly watery, and not turn into a gravy), according to your usual method.
11. Open the foil and slice the roast.
12. Serve with the sauce.

@ 4d41a7cb:7d3633cc

Today is Bitcoin genesis block day, literally Bitcoin’s birthday number 16th. The purpose of this article is to deep dive into Bitcoin's beginnings, what it was meant to be, what its creator's incentives were, why the collaborators were interested in contributing to its success, and what Bitcoin is achieving.

Bitcoin exists to solve a problem.

The root problem with conventional currency is all the trust that's required to make it work. The central bank must be trusted not to debase the currency, but the history of fiat currencies is full of breaches of that trust. Banks must be trusted to hold our money and transfer it electronically, but they lend it out in waves of credit bubbles with barely a fraction in reserve. We have to trust them with our privacy, trust them not to let identity thieves drain our accounts. Their massive overhead costs make micropayments impossible.

Satoshi Nakamoto, February 11, 2009

In this post, Satoshi reveals the main problem: central banking, how this institution has abused the trust we have put in them. Bitcoin is an alternative to a “broken” or corrupt monetary system that it’s been running and stealing from people for centuries, creating credit bubbles with their debt-based fractional reserve banking system

Ponzi nature of banking system

For those who don’t understand this system and its corrupt and inviable nature, think about it as a rigged musical chairs game.

When the music (trust in the banking system and its currency) is on, everyone is happy playing the economic game. Economic activity is soaring; we see new businesses, new products, cheap credit, high lending, asset prices inflate, and people consuming more (thus pushing the economic numbers higher). Everything seems to be okay. But then something happens.

Under this monetary game, deposits are chairs and depositors are players; as the game goes on, there are always more players than chairs or depositors than deposits because banks “lend” currency that they don’t have. When the music (trust in the bank) is stopped, the game is over, and many people lose their chairs (their deposit), creating deflationary recessions and economic crises.

When this happens, everything starts trending the exact opposite way. The economic activity starts slowing down, debt problems arise, bankruptcies occur, people lose their jobs and consume less, asset prices deflate, until the central bank intervenes and the cycle starts again.

This is officially known as the “economic cycle,” and it's sold to us as a natural phenomenon. But the truth is this is a pure central bank–artificially created cycle by monetary manipulation, as we can learn from the Austrian school of economics.

I call the central bankers the market wizards because they hold the lever to manipulate the economic game. They are the money masters, the financial alchemists, the kings of the economic and financial game of commerce where all economic agents operate under.

Bitcoin is a revolution against the central bank monarch, but Satoshi was not shouting about this to the four winds. He didn’t want to get attention before Bitcoin was strong enough, because it would have implied a great risk to its success. Central banks are the most powerful institutions on earth; they literally have the power to create currency in unlimited amounts and buy anything they need to maintain their monopoly.

If we need a more clear confirmation of this, we can look into the encrypted message that Satoshi left in the genesis block. To understand the genesis block, imagine a bookkeeping ledger that adds new pages (blocks) daily and contains a record of all bitcoin transactions ever made. The very first page of this book is called the genesis block.

Chancellor on brink of second bailout for banks

Satoshi Nakamoto 03 January 2009

Here’s the newspaper cover he was making reference to.

In allusion to the bank bailouts that were taking place at the time, Satoshi included this intriguing line in the genesis block when he created Bitcoin during the Great Global Financial Crisis. In addition to providing the remedy, those who caused the issue (and profit from it) were making unprecedented profits. \ \ This game is about privatizing profits and socializing losses. This is the opposite of free markets and capitalism. It's clear that Satoshi Nakamoto, whomever he was, detested the established financial system. Since the Bank of England, which was the subject of this article, was established in 1694, we may trace the debt based fractional reserve banking system history back at least 331 years. \ \ This allusion to traditional banking's shortcomings was a declaration of what Bitcoin was trying to combat: fractional reserve banking and its consequences, which include debt, taxation, and inflation.

\ \ The bookkeepers \ \ In essence, banking and money management are bookkeeping, keeping track of who owns what and who owes what. Due to its revolutionary impact on accounting, Bitcoin has been dubbed "triple entry bookkeeping" by some. \ \ These days, banks are in charge of bookkeeping; they basically have the authority to make changes to the books and add new entries, or "print money." Inflation is basically a robber of time, energy, and wealth from everyone using that currency denomination, and banks are the ones who create it. Additionally, they have the ability to cause economic crises and market crashes for their own financial gain, making them deflation inductors. \ \ The incapacity of gold (real money) to meet the demands of a growing global economy gave banks this authority. They essentially became gold safe-keepers and gold IOU bookkeepers' ledgers because people trusted these organizations to provide scalability and lower the cost and risk of gold transactions. \ \ The purpose of banking was to enable credit and payments. Governments and banks did not create money. The free market determined the value of gold and silver, and people only trusted banknotes that were backed by gold. \ \ “Gold is money, everything else is credit" JP Morgan, 1912. \ \ Since banks began growing, they have sought to increase their size even more. When they discovered that the metal money system was restricting their ability to increase credit and bank profits, they literally plotted to seize control of the money market and overthrow governments by demonetizing these metals, effectively eliminating the demand for money in general and substituting it with debt and credit instruments. Essentially promissory notes issued by banks based on debt. \ \ "The borrower is a slave to the lender, and the wealthy dominate the poor”. Proverbs 22:7\ \ Human history is a chronicle of the literal plot by banks to enslave humanity, which resulted in hundreds of wars, thousands of assassinations, and the loss of millions of innocent lives in order to fulfill the banksters' objective of creating a global fractional reserve credit system. The currency that they decided to control? The term "U.S dollars" is frequently and incorrectly used to refer to Federal Reserve Notes. \ \ Slavery is essentially personified in this system. Slavery, in my opinion, is working for a currency that someone else can print without any effort or labor. This is the underlying cause of legal inequality. Theoretically, we live in a democracy and capitalist society where everyone is treated equally, but income taxes and central banking are vital components of the communist manifiesto. \ \ Where do we draw the boundary between a free human being and a slave citizen, given that this system directly violates private property rights? You are 100% slave when you pay 100% taxes, and 40% slave when you pay 40% taxes. It is being violently imposed upon you if it is not a voluntary business deal. Violence or the threat of losing your freedom are used to compel people to pay taxes. \ \ Natural law, often known as moral law, states that every person has the right to keep all of the fruits of their labor. However, this fraudulent financial system is robbing everyone of their means of trade, whether they are called coins, currencies, deposits, checks, etc. Furthermore, ceasing to feed a parasite is the only way to eradicate it. \ \ A purely peer-to-peer version of electronic cash would allow online payments to be sent directly from one party to another without going through a financial institution.

Satoshi Nakamoto, October 31, 2008\ \ \ \ What backs fiat currencies?\ \ The worst aspect of this system is that it views people as collateral cattle for the currency's purchasing power. In essence, "government currencies" are credits of their corresponding debts, or government bonds, which are effectively secured by the government's “authority” to impose taxes on its populace. In essence, the government's power to compel its people to give them X percent of their income without providing them with equal recompense.

In essence, citizens' wealth is "baking" the government's debts. Since the currency cannot be exchanged for wealth at a particular rate, it is inaccurate to state that it is backed, thus I said "baking." However, if we must identify a valuable component of the currency, it is as follows: wealth and labor (i.e., human time and energy).

\ And what makes up this wealth? Among other things, land, homes, resources, businesses, and human time. They have demand for trade and exchanges because they make up half of every transaction. However, what do people trade more for currency? Energy and time. \ \ Those who can produce currency out of thin air with little effort (simply adding numbers to the bank ledger) can effectively steal from everyone else who has to labor and invest time and energy (real wealth), as most people exchange their time and energy for currency. Clearly, this is the root cause of inequality. \ \ Not only is this utterly immoral and unfair, but it gets worse. The worst aspect is not that they want to charge interest and can easily generate currency, but rather that they insist that WE repay them! \ \ What am I saying? Every currency unit's counterpart in government bonds is a public debt that generates compound interest on a continuous basis. There is a dollar due plus interest for every dollar that exists. In essence, this debt is a claim on the nation's wealth, which includes the labor (time and energy) and wealth of its citizens. \ \ And to whom is this debt owed? The banks. Therefore, if we apply common logic, it is easy to see that just as borrowers are slaves to lenders, governments and "we the people" are slaves to banks. \ \ However, what precisely do we owe? What kind of material have they given our governments? Is it wealth of any sort, whether it land, gold, or resources? No, it's not. is essentially a promissory note issued by a private bank, a document that serves as a means of exchange and may be produced in an infinite quantity. A counterfeit check.\ \ Global slavery to the banks is the price we pay for a scalable medium of exchange! \ \ And now we have a great substitute! \ \ To sum up, we spend our lives, precious time, energy, stress, suffering, and effort to obtain these currencies and pay our taxes, while another group sits there making up new reasons to add currency the ledger —also known as "printing digital money"—that we must repay plus interest! It's crazy. \ \ The worst aspect is that because the debt exceeds the amount of money in circulation due to compound interest, which keeps accruing and increasing the loan's size, it is mathematically impossible to pay back.\ \ It is equivalent to burning the currency because we pay taxes to cover the interest on an ever-increasing debt that we are unable to pay back. A black hole for taxpayer funds, debt-based currencies are essentially human slavery that is supported by banks and maintained by governments. \ \ Why isn't everyone voicing their disapproval and exposing this? The answer is brainwashing and a lack of knowledge. Much of this has been concealed or esoteric, and a major contributing factor to this blind spot is the misinformation we receive regarding the operation of this system. In order to play the game the way they want us to and avoid the game ending anytime soon, we are given a children's interpretation of human history and reality. \ \ \ Libertarianism\ \ Bitcoin's libertarian nature cannot be disregarded; even Satoshi acknowledged this when he stated:\ \ It’s very attractive to the libertarian viewpoint if we can explain it properly.\ I’m better with code than with words though.

Satoshi Nakamoto, November 14, 2008\ \ Libertarianism is a political philosophy that holds freedom and liberty as primary values. Many libertarians conceive of freedom in accord with the Non-Aggression Principle, according to which each individual has the right to live as they choose, so long as it does not involve violating the rights of others by initiating force or fraud against them.

Libertarians advocate for the expansion of individual autonomy and political self-determination, emphasizing the principles of equality before the law and the protection of civil rights, including the rights to freedom of association, freedom of speech, freedom of thought and freedom of choice. They generally support individual liberty and oppose authority, state power, warfare, militarism and nationalism, but some libertarians diverge on the scope and nature of their opposition to existing economic and political systems. 1\ \ Here are several arguments in favor of Bitcoin's libertarian nature. \ \ Non-Aggression Principle: Unlike taxes and fiat currencies, which are supported by state aggression, Bitcoin is supported by energy, math, and processing power. The monopoly of violence “belongs” to governments, and banks use this authority to compel everyone to follow their rules (I'm talking about business). \ \ Personal independence: Bitcoin doesn't require confidence and doesn't have counterparty risk. With bitcoin, the person has complete control over his finances and doesn't require "permission" from a third party to earn, save, or spend it. Bitcoin is referred to be "freedom money" for this reason. \ \ Equality before the law: Unlike the actual banking system, where a group can create money out of thin air with little effort and can alter the rules to suit their interests, the bitcoin protocol ensures that everyone is playing by the same rules and that there is no possibility of cheating or inflating the supply of bitcoin. Equality exists under the Bitcoin protocol. \ \ Indeed there is nobody to act as central bank or federal reserve to adjust the money supply as the population of users grows.\ Satoshi Nakamoto, Febrero 18, 2009\ \ Freedom of speech: To uphold justice and the truth in an era of widespread censorship, freedom of speech is an essential human right. The fact that Bitcoin is information also fits into this category; money is a means of conveying value, but this time in an unstoppable manner that is impervious to censorship. \ \ Freedom of thought: Using bitcoin does not require you to subscribe to any particular philosophy or set of beliefs, including libertarianism or anarchism. Bitcoin is unbiased and doesn't care. \ \ Freedom of choice: Unlike fiat currencies, where you frequently have no other choice, no one will compel you to use bitcoin. \ \ Libertarians reject the current political and economic structures because they are blatantly immoral, criminal, and illegitimate. It is "shaped" by indoctrinated mob rule democracies, supported by violence, and based on lies.

Bitcoin's ascent \ \ Bitcoin wasn't created overnight; rather, it was the result of decades' worth of research, development, and technology. Above all else, however, bitcoin represented a breakthrough—a new method of accomplishing tasks that had previously been impossible. \ \ A lot of people automatically dismiss e-currency as a lost cause because of all the companies that failed since the 1990's. I hope it's obvious it was only the centrally controlled nature of those systems that doomed them. I think this is the first time we're trying a decentralized, non-trust-based system.

Satoshi Nakamoto, Febrero 15, 2009\ \ Due to their centralization and unique points of failure, all of the numerous attempts to implement alternative e-currencies failed. The distributed nature of the bitcoin network makes it more robust and challenging to attack. \ \ The secret to developing a decentralized unchangeable ledger was Satoshi's solution to a problem that had been thought to be intractable since the 1970s. Following years of failure and lessons learned, Satoshi established a finite amount of money that is governed by processing power and energy.\ \ The proof-of-work chain is a solution to the Byzantine Generals Problem.\ Satoshi Nakamoto, Febrero 15, 2009

The return of money \ \ Bitcoin has also had a significant impact on the monetary front, particularly on the system's capacity to function as money and not simply a currency. It has been shown to be the best store of value (SOV) in addition to being an excellent medium of exchange (MOE).

Since currencies replaced money during the last century, we have lost track of what money is. And in order to protect our wealth, we need to be aware of the important distinctions between these technologies. \ \ A currency must be recognized, divisible, fungible, portable, and widely accepted in order to function as a medium of exchange. \ \ All of those qualities are present in money, but it also has the capacity to hold value over time, and it must be scarce in order to function as a store of value. A currency, in contrast to money, is susceptible to inflation due to its ease of replication. This is the cause of the constant price increases. \ \ The money supply needs to be scarce in order to preserve its purchasing power over time (i.e., to be immune to inflation). For thousands of years, gold and silver have been the preferred forms of money. \ \ At first, paper currency was only used to facilitate transitions by serving as a convenient alternative (derivative) to precious metals. Since goldsmiths and subsequent bankers used fractional reserve banking to lend more money (i.e., print more paper currency) than they actually had in storage, paper currencies—which are easily reproducible—have always been vulnerable to inflation. This resulted in the recurring "bank run" crises that are documented throughout history.\ \ But before bitcoin, we didn't have any money since 1933 because banks had taken it and devalued it. Real state, stocks, bonds, and other choices had been selected as alternatives due to the absence of money (a store of value). People buy real estate, stocks, and bonds to protect their wealth because fiat currencies are continually being inlfated, not because they love them. \ \ An estimated 900 trillion dollars' worth of wealth is held in financial and tangible assets worldwide. \ \ In real state, 330 trillions (36.6%)\ \ Bonds worth 300 billions (33.3%)\ \ Currency totaling 120 trillions (13.3%)\ \ Equity of 115 trillions (12,7%)\ \ Art worth 18 billions (2%)\ \ Gold worth 16 trillions (1,77%)\ \ Automobiles and collectibles worth 6 trillions (0,66%)\ \ Bitcoin worth two trillions (0,22%)\ \ Bitcoin only makes up about 0.22% of the world's total wealth. The greatest money ever created, property that you can actually own, with a sovereign protocol, no counterparty risk, a limited supply (better than scarce), and no need for banks or governments. Freedom money is unaffected by debt, taxes, or inflation. \ \ A bitcoin market cap of x10 ($1,000,000) would represent 2,22% of the world's wealth, and a market cap of x100 ($10,000,000) would represent 22,22%. \ \ The denominator, the dollar, is always losing value since it is created infinitely by continuously increasing the debt supply, and wealth is not fixed—rather, it is eternally increasing. According to CBNC the U.S. national debt is rising by $1 trillion about every 100 days.

Bitcoin is energy \ \ Bankers and significant international leaders are aware that energy is the foundation of all human activity. They are aware that they must control the energy sources, including their supply, distribution, and price, in order to establish a monopoly over every industry and a system of slave labor. They even clarified in several released documents that this is the only way to engineer the global economy.

:Silent Weapons for Quiet Wars explains:

In order to achieve such sovereignty, we must at least achieve this one end: that the public will not make either the logical or mathematical connection between economics and the other energy sciences or learn to apply such knowledge.

It is only a matter of time before the new breed of private programmer/economists will catch on to the far-reaching implications of the work begun at Harvard in 1948. The speed with which they can communicate their warning to the public will largely depend upon how effective we have been at controlling the media, subverting education, and keeping the public distracted with matters of no real importance.

The Harvard Economic Research Project (1948-) was an extension of World War II Operations Research. Its purpose was to discover the science of controlling an economy: at first the American economy, and then the world economy. It was felt that with sufficient mathematical foundation and data, it would be nearly as easy to predict and control the trend of an economy as to predict and control the trajectory of a projectile. Such has proven to be the case. Moreover, the economy has been transformed into a guided missile on target.

As we can see, the actual monetary system was created as a system of control (SOC), which is essentially founded on thievery and has restrictions, barriers, closed doors, a lack of transparency, and different rules for different actors. Through fabricated inflation and economic crises, it has been stealing our riches and freedom and controlling not just the electrical supply but also the social energies of humanity. (Inductors and economic conductors)\ \ However, Bitcoin is restoring our freedom. A way to make money, save it, and spend it without any restrictions, inflation, or capricious regulations. A novel kind of property that is not dependent on a counterparty, like banks or governments, and that requires energy to manufacture rather than being formed spontaneously.

Bitcoin generation should end up where it's cheapest. Maybe that will be in cold climates where there's electric heat, where it would be essentially free.

Satoshi Nakamoto, August, 2010

This fact is key to unlock the benefits of deflation that had been opaqued by the artificially created inflation.

Natural deflation

The primary benefit of bitcoin is deflation. Deflation incentives people to delay consumption and save more. Saving is the key to economic growth, because it can help to increase investment and productivity.

With the increase in productivity, prices tend to go down as they are more abundant and we find cheaper ways to produce thanks to technology.

The only reason that prices are not going down today -except in products where improvements are very rapid (e.g., computers)- is because of government-caused-currency inflation.

They have been stealing the benefits of natural deflation from us, but now we can access it thanks to Bitcoin.

It might make sense just to get some in case it catches on. If enough people think the same way, that becomes a self fulfilling prophecy.

Satoshi Nakamoto, 1/17/2009

Conclusion

To only way to scape the slavery system is to earn, save and spend bitcoin; a money that’s not controlled by the governments and banks, that is not subject to inflation and where everyone has to play under the same rules.

Happy birthday Bitcoin!

Bitcoin or Slavery!

@ bd32f268:22b33966

Vivemos num tempo em que predomina a atitude de colocar a vida em serviço de culto ao “Eu”. Aqui por “Eu” entenda-se o ego e as suas manifestações que colocam o indivíduo no centro do seu mundo. Esta priorização do “Eu” revela-se de várias formas, dando á luz vários produtos sociais e culturais. Estas manifestações atuam de forma nociva na sociedade uma vez que desagregam e extinguem todo o tipo coesão social.

Uma sociedade é uma organização de pessoas que buscam uma finalidade comum. Quando a finalidade é primeiramente o serviço aos apetites individuais é cada vez mais provável que surjam conflitos de interesses e estes vão desunindo as pessoas. Desta forma a sociedade precipita-se para o declínio e consequente extinção, uma vez que já não é capaz de sustentar os seus princípios fundadores e a narrativa agregadora que estabelece a identidade da comunidade.

Pensemos numa família, quando os membros da família vivem para si e não para o outro, aqui personificado no esposo e nos filhos, a coesão familiar sai enfraquecida pois muitas serão as ocasiões nas quais os interesses imediatos do indivíduo colidem com os interesses da família. Isto leva a uma série de problemas, nomeadamente os que observamos cada vez mais na educação das crianças. Neste campo, observamos frequentemente um tempo escasso para o convívio e para a pedagogia de vida que os pais devem exercer. Dir-se-á que são as vicissitudes do mundo do trabalho, mas talvez devêssemos balancear essa ideia com a noção de que o materialismo também nos foi habituando a ter outras necessidades que os nossos avós não tinham, o que nos precipita a querer mais e a trabalhar mais e sobretudo fora de casa. Quero dizer que de facto podemos viver com menos e que esse menos no ponto de vista das condições materiais de vida pode significar mais em termos familiares.

Um outro campo em que se nota a primazia do “Eu” é nos relacionamentos em que nos habituamos a ver o outro como um servidor da nossa vontade e do nosso desejo. Confundimos facilmente o conceito de amor com uma troca comercial. Julgamos que aquilo que entregamos tem de ser retribuído, perdendo a noção de que é a nossa escolha entregar-nos a alguém e que como tal temos de enfrentar as consequências da nossa decisão. Nós devemos servir o outro assim como o outro deveria pensar da mesma forma, no entanto não controlamos a cabeça da outra pessoa portanto foquemo-nos sim naquilo que controlamos. Foquemo-nos em honrar as promessas que fazemos e aprender a viver em união com o outro.

Narciso - Caravaggio

Também no cuidado com os idosos se manifesta a primazia do “Eu”. Não são raros os casos de abandono e negligência para com aqueles a quem, para o bem e para o mal, devemos a nossa vida. Vemos cada vez mais idosos institucionalizados quando muitos poderiam estar com as suas respetivas famílias num ambiente familiar muito mais propício para o seu final de vida. As justificações multiplicam-se e novamente o trabalho surge como o fundamento, no entanto facilmente observamos que mesmo quando há tempo esse tempo não é dedicado aos idosos.

A taxa de natalidade é também um sinal da primazia do eu. A retórica pos-contemporânea assegura que ter filhos é um comportamento egoísta, especialmente nos tempos que vivemos. Seja por causa da narrativa climática, seja por questões de pobreza ou doença, essas pessoas defendem a não vida. No entanto, um olhar que guarda o apreço pela vida como algo sagrado é capaz de observar que a vida, mesmo em circunstâncias muito difíceis continua a valer a pena. O verdadeiro motivo que se esconde muitas vezes por trás desta retórica é invariavelmente a primazia do conforto.

Por trás destas opções de vida está também patente um abandono á cultura do sacrifício, que pressupõe a procura de algo que transcende o “Eu”. Nessa transcendência está a chave para encontrar um propósito, isto é uma missão para a vida. Além disso, está também a constatação de que na vida há aspirações e valores mais elevados que nos convocam a entregar a nossa vida, quer isto dizer abrir mão da procura do conforto e do prazer e abraçar por vezes o sofrimento, no entanto este sofrimento tem um propósito. O sacrifício individual não é seguramente a via mais fácil e conveniente, contudo é a única pois o viver para o ego é apenas uma ilusão. Quem vive para si, nem para si vive dado que não ama ninguém além de si próprio e isso não é amor.

@ 3c984938:2ec11289

I'm having some pain in my heart about the U.S. elections.

Ever since Obama campaigned for office, an increase of young voters have come out of the woodwork. Things have not improved. They've actively told you that "your vote matters." I believe this to be a lie unless any citizen can demand at the gate, at the White House to be allowed to hold and point a gun to the president's head. (Relax, this is a hyperbole)

Why so dramatic? Well, what does the president do? Sign bills, commands the military, nominates new Fed chairman, ambassadors, supreme judges and senior officials all while traveling in luxury planes and living in a white palace for four years.

They promised Every TIME to protect citizen rights when they take the oath and office.

...They've broken this several times, with so-called "emergency-crisis"

The purpose of a president, today, it seems is to basically hire armed thugs to keep the citizens in check and make sure you "voluntarily continue to be a slave," to the system, hence the IRS. The corruption extends from the cop to the judge and even to politicians. The politicians get paid from lobbyists to create bills in congress for the president to sign. There's no right answer when money is involved with politicians. It is the same if you vote Obama, Biden, Trump, or Haley. They will wield the pen to serve themselves to say it will benefit the country.

In the first 100 years of presidency, the government wasn't even a big deal. They didn't even interfere with your life as much as they do today.

^^ You hold the power in your hands, don't let them take it. Don't believe me? Try to get a loan from a bank without a signature. Your signature is as good as gold (if not better) and is an original trademark.

Just Don't Vote. End the Fed. Opt out.

^^ I choose to form my own path, even if it means leaving everything I knew prior. It doesn't have to be a spiritual thing. Some, have called me religious because of this. We're all capable of greatness and having humanity.

✨Don't have a machine heart with a machine mind. Instead, choose to have a heart like the cowardly lion from the "Wizard Of Oz."

There's no such thing as a good president or politicians.

If there was, they would have issued non-interest Federal Reserve Notes. Lincoln and Kennedy tried to do this, they got shot.

There's still a banner of America there, but it's so far gone that I cannot even recognize it. However, I only see a bunch of 🏳‍🌈 pride flags.

✨Patrick Henry got it wrong, when he delivered his speech, "Give me liberty or give me death." Liberty and freedom are two completely different things.

Straightforward from Merriam-Webster Choose Right or left? No control, to be 100% without restrictions- free.

✨I disagree with the example sentence given. Because you cannot advocate for human freedom and own slaves, it's contradicting it. Which was common in the founding days.

I can understand many may disagree with me, and you might be thinking, "This time will be different." I, respectfully, disagree, and the proxy wars are proof. Learn the importance of Bitcoin, every Satoshi is a step away from corruption.

✨What does it look like to pull the curtains from the "Wizard of Oz?"

Have you watched the video below, what 30 Trillion dollars in debt looks like visually? Even I was blown away. https://video.nostr.build/d58c5e1afba6d7a905a39407f5e695a4eb4a88ae692817a36ecfa6ca1b62ea15.mp4

I say this with love. Hear my plea?

Normally, I don't write about anything political. It just feels like a losing game. My energy feels it's in better use to learn new things, write and to create. Even a simple blog post as simple as this. Stack SATs, and stay humble.

<3 Onigirl

@ d4eaddd4:5ce9da9c

("Shipwreck off Nantucket" William Bradford, ca. 1860–61)

What Does It Mean That Grief Comes in Waves?
Grief is often compared to waves—a natural, unpredictable rhythm that surges and recedes, catching us off guard and sweeping us into a sea of emotions. Just like the ocean, grief can be calm one moment and tumultuous the next, leaving us gasping for air. This metaphor resonates deeply because it reflects the enduring, nonlinear nature of loss. Whether your loss occurred recently or years ago, grief remains a lifelong journey, ebbing and flowing with time.

Why Grief Feels Like Waves
At its core, grief is the emotional response to loss, and it doesn’t follow a set timetable. Emotions can be triggered unexpectedly by a song, a scent, or a special date, sending a wave of sorrow crashing over you. Author Adriel Booker eloquently describes these moments:

“You might understand intellectually that they [the waves] will keep coming, but some days they hit more forcefully, more fiercely than you ever imagined possible.”

This lack of predictability makes grief feel overwhelming. It’s not something you “get over,” but rather something you learn to navigate, much like a sailor facing unpredictable seas.

Navigating the First Waves of Grief
When a loss first occurs, the waves of grief can feel relentless. An insightful analogy from a viral Reddit post likens the initial experience of grief to a shipwreck:

“When the ship is first wrecked, you’re drowning, with wreckage all around you. Everything floating around you reminds you of the beauty and the magnificence of the ship that was, and is no more.”

In these early stages, the waves are towering and frequent, crashing over you with little respite. The best advice during this time is simply to float—cling to what sustains you, whether it’s a supportive friend, a cherished memory, or a comforting ritual. Survival is the priority.

The Changing Tides of Grief Over Time
As time passes, the waves of grief may become less frequent and slightly more predictable. Anniversaries, holidays, or milestones often serve as triggers, bringing back the pain of loss. However, with each passing wave, you gain resilience.

The Reddit post continues:

“Somewhere down the line… you find that the waves are only 80 feet tall. Or 50 feet tall. And while they still come, they come further apart. You can see them coming, for the most part, and prepare yourself.”

This doesn’t mean grief ever goes away. The waves still arrive, but they no longer hold the same power to drown you. Instead, they become reminders of the love and connection you shared, leaving behind scars that tell a story of resilience and remembrance.

Coping with the Waves
While grief may never fully disappear, there are ways to weather its storms:
1. Acknowledge Your Emotions: Allow yourself to feel without judgment. Grief is a natural response to love and loss.
2. Find Anchors: Lean on meaningful memories, objects, or relationships that ground you.
3. Seek Support: Whether through friends, family, or professional counselors, connection can be a lifeline.
4. Prepare for Triggers: Recognize that certain dates or events may bring waves of grief and plan how to cope in advance.
5. Practice Self-Compassion: Healing takes time, and there’s no “right” way to grieve.

Conclusion: A Lifelong Journey
Grief, much like the ocean, is vast and unpredictable. But with time and support, you can learn to navigate its waters. The waves will never stop coming, but they will change. And as you face each wave, you’ll discover strength and meaning in your journey.

Grief is a testament to love. As the Reddit post poignantly concludes:

“If you’re lucky, you’ll have lots of scars from lots of loves. And lots of shipwrecks.”

@ 1bda7e1f:bb97c4d9

Tldr

• Nostr is an open and interoperable protocol
• You can integrate it with workflow automation tools to augment your experience
• n8n is a great low/no-code workflow automation tool which you can host yourself
• Nostrobots allows you to integrate Nostr into n8n
• In this blog I create some workflow automations for Nostr
• A simple form to delegate posting notes
• Push notifications for mentions on multiple accounts
• Push notifications for your favourite accounts when they post a note
• All workflows are provided as open source with MIT license for you to use

Inter-op All The Things

Nostr is a new open social protocol for the internet. This open nature exciting because of the opportunities for interoperability with other technologies. In Using NFC Cards with Nostr I explored the nostr: URI to launch Nostr clients from a card tap.

The interoperability of Nostr doesn't stop there. The internet has many super-powers, and Nostr is open to all of them. Simply, there's no one to stop it. There is no one in charge, there are no permissioned APIs, and there are no risks of being de-platformed. If you can imagine technologies that would work well with Nostr, then any and all of them can ride on or alongside Nostr rails.

My mental model for why this is special is Google Wave ~2010. Google Wave was to be the next big platform. Lars was running it and had a big track record from Maps. I was excited for it. Then, Google pulled the plug. And, immediately all the time and capital invested in understanding and building on the platform was wasted.

This cannot happen to Nostr, as there is no one to pull the plug, and maybe even no plug to pull.

So long as users demand Nostr, Nostr will exist, and that is a pretty strong guarantee. It makes it worthwhile to invest in bringing Nostr into our other applications.

All we need are simple ways to plug things together.

Nostr and Workflow Automation

Workflow automation is about helping people to streamline their work. As a user, the most common way I achieve this is by connecting disparate systems together. By setting up one system to trigger another or to move data between systems, I can solve for many different problems and become way more effective.

n8n for workflow automation

Many workflow automation tools exist. My favourite is n8n. n8n is a low/no-code workflow automation platform which allows you to build all kinds of workflows. You can use it for free, you can self-host it, it has a user-friendly UI and useful API. Vs Zapier it can be far more elaborate. Vs Make.com I find it to be more intuitive in how it abstracts away the right parts of the code, but still allows you to code when you need to.

Most importantly you can plug anything into n8n: You have built-in nodes for specific applications. HTTP nodes for any other API-based service. And community nodes built by individual community members for any other purpose you can imagine.

Eating my own dogfood

It's very clear to me that there is a big design space here just demanding to be explored. If you could integrate Nostr with anything, what would you do?

In my view the best way for anyone to start anything is by solving their own problem first (aka "scratching your own itch" and "eating your own dogfood"). As I get deeper into Nostr I find myself controlling multiple Npubs – to date I have a personal Npub, a brand Npub for a community I am helping, an AI assistant Npub, and various testing Npubs. I need ways to delegate access to those Npubs without handing over the keys, ways to know if they're mentioned, and ways to know if they're posting.

I can build workflows with n8n to solve these issues for myself to start with, and keep expanding from there as new needs come up.

Running n8n with Nostrobots

I am mostly non-technical with a very helpful AI. To set up n8n to work with Nostr and operate these workflows should be possible for anyone with basic technology skills.

• I have a cheap VPS which currently runs my HAVEN Nostr Relay and Albyhub Lightning Node in Docker containers,
• My objective was to set up n8n to run alongside these in a separate Docker container on the same server, install the required nodes, and then build and host my workflows.

Installing n8n

Self-hosting n8n could not be easier. I followed n8n's Docker-Compose installation docs–

• Install Docker and Docker-Compose if you haven't already,
• Create your docker-compose.yml and .env files from the docs,
• Create your data folder sudo docker volume create n8n_data,
• Start your container with sudo docker compose up -d,
• Your n8n instance should be online at port 5678.

n8n is free to self-host but does require a license. Enter your credentials into n8n to get your free license key. You should now have access to the Workflow dashboard and can create and host any kind of workflows from there.

Installing Nostrobots

To integrate n8n nicely with Nostr, I used the Nostrobots community node by Ocknamo.

In n8n parlance a "node" enables certain functionality as a step in a workflow e.g. a "set" node sets a variable, a "send email" node sends an email. n8n comes with all kinds of "official" nodes installed by default, and Nostr is not amongst them. However, n8n also comes with a framework for community members to create their own "community" nodes, which is where Nostrobots comes in.

You can only use a community node in a self-hosted n8n instance (which is what you have if you are running in Docker on your own server, but this limitation does prevent you from using n8n's own hosted alternative).

To install a community node, see n8n community node docs. From your workflow dashboard–

• Click the "..." in the bottom left corner beside your username, and click "settings",
• Cilck "community nodes" left sidebar,
• Click "Install",
• Enter the "npm Package Name" which is n8n-nodes-nostrobots,
• Accept the risks and click "Install",
• Nostrobots is now added to your n8n instance.

Using Nostrobots

Nostrobots gives you nodes to help you build Nostr-integrated workflows–

• Nostr Write – for posting Notes to the Nostr network,
• Nostr Read – for reading Notes from the Nostr network, and
• Nostr Utils – for performing certain conversions you may need (e.g. from bech32 to hex).

Nostrobots has good documentation on each node which focuses on simple use cases.

Each node has a "convenience mode" by default. For example, the "Read" Node by default will fetch Kind 1 notes by a simple filter, in Nostrobots parlance a "Strategy". For example, with Strategy set to "Mention" the node will accept a pubkey and fetch all Kind 1 notes that Mention the pubkey within a time period. This is very good for quick use.

What wasn't clear to me initially (until Ocknamo helped me out) is that advanced use cases are also possible.

Each node also has an advanced mode. For example, the "Read" Node can have "Strategy" set to "RawFilter(advanced)". Now the node will accept json (anything you like that complies with NIP-01). You can use this to query Notes (Kind 1) as above, and also Profiles (Kind 0), Follow Lists (Kind 3), Reactions (Kind 7), Zaps (Kind 9734/9735), and anything else you can think of.

Creating and adding workflows

With n8n and Nostrobots installed, you can now create or add any kind of Nostr Workflow Automation.

• Click "Add workflow" to go to the workflow builder screen,
• If you would like to build your own workflow, you can start with adding any node. Click "+" and see what is available. Type "Nostr" to explore the Nostrobots nodes you have added,
• If you would like to add workflows that someone else has built, click "..." in the top right. Then click "import from URL" and paste in the URL of any workflow you would like to use (including the ones I share later in this article).

Nostr Workflow Automations

It's time to build some things!

A simple form to post a note to Nostr

I started very simply. I needed to delegate the ability to post to Npubs that I own in order that a (future) team can test things for me. I don't want to worry about managing or training those people on how to use keys, and I want to revoke access easily.

I needed a basic form with credentials that posted a Note.

For this I can use a very simple workflow–

• A n8n Form node – Creates a form for users to enter the note they wish to post. Allows for the form to be protected by a username and password. This node is the workflow "trigger" so that the workflow runs each time the form is submitted.
• A Set node – Allows me to set some variables, in this case I set the relays that I intend to use. I typically add a Set node immediately following the trigger node, and put all the variables I need in this. It helps to make the workflows easier to update and maintain.
• A Nostr Write node (from Nostrobots) – Writes a Kind-1 note to the Nostr network. It accepts Nostr credentials, the output of the Form node, and the relays from the Set node, and posts the Note to those relays.

Once the workflow is built, you can test it with the testing form URL, and set it to "Active" to use the production form URL. That's it. You can now give posting access to anyone for any Npub. To revoke access, simply change the credentials or set to workflow to "Inactive".

It may also be the world's simplest Nostr client.

You can find the Nostr Form to Post a Note workflow here.

Push notifications on mentions and new notes

One of the things Nostr is not very good at is push notifications. Furthermore I have some unique itches to scratch. I want–

• To make sure I never miss a note addressed to any of my Npubs – For this I want a push notification any time any Nostr user mentions any of my Npubs,
• To make sure I always see all notes from key accounts – For this I need a push notification any time any of my Npubs post any Notes to the network,
• To get these notifications on all of my devices – Not just my phone where my Nostr regular client lives, but also on each of my laptops to suit wherever I am working that day.

I needed to build a Nostr push notifications solution.

To build this workflow I had to string a few ideas together–

• Triggering the node on a schedule – Nostrobots does not include a trigger node. As every workflow starts with a trigger we needed a different method. I elected to run the workflow on a schedule of every 10-minutes. Frequent enough to see Notes while they are hot, but infrequent enough to not burden public relays or get rate-limited,
• Storing a list of Npubs in a Nostr list – I needed a way to store the list of Npubs that trigger my notifications. I initially used an array defined in the workflow, this worked fine. Then I decided to try Nostr lists (NIP-51, kind 30000). By defining my list of Npubs as a list published to Nostr I can control my list from within a Nostr client (e.g. Listr.lol or Nostrudel.ninja). Not only does this "just work", but because it's based on Nostr lists automagically Amethyst client allows me to browse that list as a Feed, and everyone I add gets notified in their Mentions,
• Using specific relays – I needed to query the right relays, including my own HAVEN relay inbox for notes addressed to me, and wss://purplepag.es for Nostr profile metadata,
• Querying Nostr events (with Nostrobots) – I needed to make use of many different Nostr queries and use quite a wide range of what Nostrobots can do–
  • I read the EventID of my Kind 30000 list, to return the desired pubkeys,
  • For notifications on mentions, I read all Kind 1 notes that mention that pubkey,
  • For notifications on new notes, I read all Kind 1 notes published by that pubkey,
  • Where there are notes, I read the Kind 0 profile metadata event of that pubkey to get the displayName of the relevant Npub,
  • I transform the EventID into a Nevent to help clients find it.
• Using the Nostr URI – As I did with my NFC card article, I created a link with the nostr: URI prefix so that my phone's native client opens the link by default,
• Push notifications solution – I needed a push notifications solution. I found many with n8n integrations and chose to go with Pushover which supports all my devices, has a free trial, and is unfairly cheap with a $5-per-device perpetual license.

Once the workflow was built, lists published, and Pushover installed on my phone, I was fully set up with push notifications on Nostr. I have used these workflows for several weeks now and made various tweaks as I went. They are feeling robust and I'd welcome you to give them a go.

You can find the Nostr Push Notification If Mentioned here and If Posts a Note here.

In speaking with other Nostr users while I was building this, there are all kind of other needs for push notifications too – like on replies to a certain bookmarked note, or when a followed Npub starts streaming on zap.stream. These are all possible.

Use my workflows

I have open sourced all my workflows at my Github with MIT license and tried to write complete docs, so that you can import them into your n8n and configure them for your own use.

To import any of my workflows–

• Click on the workflow of your choice, e.g. "Nostr_Push_Notify_If_Mentioned.json",
• Click on the "raw" button to view the raw JSON, ex any Github page layout,
• Copy that URL,
• Enter that URL in the "import from URL" dialog mentioned above.

To configure them–

• Prerequisites, credentials, and variables are all stated,
• In general any variables required are entered into a Set Node that follows the trigger node,
• Pushover has some extra setup but is very straightforward and documented in the workflow.

What next?

Over my first four blogs I explored creating a good Nostr setup with Vanity Npub, Lightning Payments, Nostr Addresses at Your Domain, and Personal Nostr Relay.

Then in my latest two blogs I explored different types of interoperability with NFC cards and now n8n Workflow Automation.

Thinking ahead n8n can power any kind of interoperability between Nostr and any other legacy technology solution. On my mind as I write this:

• Further enhancements to posting and delegating solutions and forms (enhanced UI or different note kinds),
• Automated or scheduled posting (such as auto-liking everything Lyn Alden posts),
• Further enhancements to push notifications, on new and different types of events (such as notifying me when I get a new follower, on replies to certain posts, or when a user starts streaming),
• All kinds of bridges, such as bridging notes to and from Telegram, Slack, or Campfire. Or bridging RSS or other event feeds to Nostr,
• All kinds of other automation (such as BlackCoffee controlling a coffee machine),
• All kinds of AI Assistants and Agents,

In fact I have already released an open source workflow for an AI Assistant, and will share more about that in my next blog.

Please be sure to let me know if you think there's another Nostr topic you'd like to see me tackle.

GM Nostr.

@ 3bf0c63f:aefa459d

Bitcoin transactions explained

A transaction is a piece of data that takes inputs and produces outputs. Forget about the blockchain thing, Bitcoin is actually just a big tree of transactions. The blockchain is just a way to keep transactions ordered.

Imagine you have 10 satoshis. That means you have them in an unspent transaction output (UTXO). You want to spend them, so you create a transaction. The transaction should reference unspent outputs as its inputs. Every transaction has an immutable id, so you use that id plus the index of the output (because transactions can have multiple outputs). Then you specify a script that unlocks that transaction and related signatures, then you specify outputs along with a script that locks these outputs.

As you can see, there's this lock/unlocking thing and there are inputs and outputs. Inputs must be unlocked by fulfilling the conditions specified by the person who created the transaction they're in. And outputs must be locked so anyone wanting to spend those outputs will need to unlock them.

For most of the cases locking and unlocking means specifying a public key whose controller (the person who has the corresponding private key) will be able to spend. Other fancy things are possible too, but we can ignore them for now.

Back to the 10 satoshis you want to spend. Since you've successfully referenced 10 satoshis and unlocked them, now you can specify the outputs (this is all done in a single step). You can specify one output of 10 satoshis, two of 5, one of 3 and one of 7, three of 3 and so on. The sum of outputs can't be more than 10. And if the sum of outputs is less than 10 the difference goes to fees. In the first days of Bitcoin you didn't need any fees, but now you do, otherwise your transaction won't be included in any block.

If you're still interested in transactions maybe you could take a look at this small chapter of that Andreas Antonopoulos book.

If you hate Andreas Antonopoulos because he is a communist shitcoiner or don't want to read more than half a page, go here: https://en.bitcoin.it/wiki/Coin_analogy

@ 714f9dc3:76659adb

Last week, I was reading “The Air We Breathe”, by Glen Scrivener. It’s about “How We All Came to Believe in Freedom, Kindness, Progress, and Equality”, and it explores the Christian roots of the values we prize in today's western society. It’s all around us, but we don’t really know where it came from: It’s the air we’re breathing. The ideas and ethics behind Christianity, whether you believe in them or not, are embedded in our culture.

As I was reading this, I saw so many parallels with Bitcoin, so wanted to list them below and share some of my thoughts. Can Bitcoin also become “The Air We Breathe”? Or in plebs words: hyperbitcoinization? Can Bitcoin become so ubiquitous that it becomes normal? Can there be a world in which we don’t even know where Bitcoin came from? It would be a world with many similar views as with today's view on Christianity. It becomes the air we breathe, something that used to be a counterculture that over time became ubiquitous. What can we learn from it?

These are my ten parallels of Bitcoin with the early days of Christianity. 1. Separation from state 2. From obscure counterculture to dominant force 3. Exponential grassroots growth 4. Conversion of emperors/politicians 5. Sudden tolerance and protection for ideology 6. Fall of the empire, end of the status quo 7. Missionaries spreading the word 8. Persuasion and education are key 9. Age of Enlightenment

Note: I’m no expert on Christianity, nor a historian of the Roman Empire, and I know just a bit about Bitcoin. See this as a thought experiment.

1. Separation from state In all fairness, I’m not the first to draw this first parallel. It was Satoshi Nakamoto themself who made the connection even before Bitcoin was available to the public, with several hints pointing back to important dates and moments in Christian history. The big parallel here is the “separation of money and state” and “separation of church and state”.

Before going back to the early days of Christianity in the first centuries AD, I first want to draw this parallel with Satoshi.

It’s 1517. The German Priest Maarten Luther writes his Ninety-five Theses, and nails this on the church doors in Wittenberg. The theses are also known as the “Disputation on the Power and Efficacy of Indulgences”. He kickstarted a movement with a radical new idea for that time: The separation of the church from the state.

The Catholic Church had become one with the state. Via the means of indulgences, there was an ability to pay for your redemption. The church was corrupted by money, power and politics. The church and indulgences replaced the need for personal responsibility and an individual faith with money and perverse structures.

Reformation Day is a Protestant Christian religious holiday celebrated on 31 October in remembrance of the onset of the Reformation. But the 31st of October is also the day in which Satoshi shared his pamphlet with the world: in 2008 they published the Bitcoin Whitepaper. It kickstarted a movement with a radical new idea for that time: The separation of the money from the state.

But this was not Satoshi’s only hint. Another one is the date of Bitcoin’s Genesis Block: January 3, 2009. It was the day that the idea of the separation of money and the state became reality, more than just an idea in an individual's mind.

Did you know that Maarten Luther was excommunicated from the Catholic Church in 1521 by Pope Leo X for sparking this revolutionary new way of thinking (and being). It happened on January 3 as well. I bet Satoshi Nakamoto knew.

To be fair, this parallel is not new and known by many bitcoiners. But it’s a good introduction to the topic, and after reading “The Air We Breathe: How We All Came to Believe in Freedom, Kindness, Progress, and Equality”, I automatically started to see more parallels between (the early days of) Christianity and todays adoption of Bitcoin. Because it was of course not Maarten Luther who sparked these rebellious thoughts in 1500, but it was Jesus himself approx. 2000 years ago.

Let’s go back from the 1500s to the first decades AD to the beginning of this radical new belief system. During the dominance of the Roman empire in the Mediterranean and much of Europe, Western Asia and North Africa, someone told a story that opposed every mainstream paradigm.

Jesus’ idea was radically different from the belief systems of that day. He preached Freedom, Kindness, Progress, and Equality in a world that was full of Debauchery and Violence, with Gladiator Games, Slavery, Public Crucifixion, and Brutalities. The belief system of that time was not like todays. There were superior races (Greek/Romans over barbarians), superior sexes (man over women), superior classes (free man over slaves) and the concept of justice was more something in the realm of “restoring rights of those that were superior”, than “equality for all, men and women, Greek and barbarian, free and slave”.

Jesus opposed the status quo. It started small and irrelevant; as a counterculture. But it didn’t stay that way.

2. From obscure counterculture to dominant force In “The Air We Breathe”, Scrivener asks the question: “How did the obscure, marginal Jesus movement of the 1st century become the dominant religious force in the Western world in a few centuries?”

Important to know, is that the Christian faith was the opposite of the narrative. Concepts like Freedom, Kindness, Progress, and Equality didn’t exist in the Roman Empire. Human rights neither. Individual rights neither. The emperor was almost de facto God himself.

Early Christians were persecuted for preaching a different story: that God is NOT the ruler of the empire. Jesus preached the separation of politics from God; separating faith from the state. As a result, he was crucified, and many of his followers were killed by Nero (between 54 and 68 AD), Domitian (81–96 AD), Trajan (98–117 AD) and Decius (249–251 AD). This new narrative was a thread for the Roman rulers.

Draw the parallels of how there have been many attempts to “kill” bitcoin, not with physical persecution but with an information war. Not by physical violence, but by misinformation. Bitcoin threatens the status quo, just like Christianity threatened the Roman Empire.

You see?

But how is the obscure movement of Bitcoin in the 20th century becoming the dominant force, similar to the question that Scrivener asked about Christianity? Perhaps the answer lies in the following parallel.

3. Exponential grassroots growth Sociologist Rodney Stark estimates in “The Rise of Christianity” that from the time of the first Easter, the church began growing at a rate of 40% per decade, a modest but relentless 3.4% per year. By the year 300, Christians numbered perhaps 6 million: about a tenth of the empire.

Despite pushbacks, the army of believers continued to grow. Grassroots, peer-to-peer. It was not the state-religion, it was a peaceful army of believers that spread the word, resulting in an exponential growth of its followers. The counterculture became more and more dominant.

You may see what I’m doing here. It was basically the meme that all Bitcoiners know: Gradually, then suddenly. Against the current.

4. Conversion of emperors/politicians In 312 a big change happened: Emperor Constantine converted to Christianity. As Stark writes, "Constantine's conversion would better be seen as a response to the massive exponential wave in progress, not as its cause".

Are we living in that same era, where nation states start to embrace Bitcoin? Where politicians don’t oppose as strongly anymore, but are flirting with the idea of embracing it? And again the parallel: it’s responsive to the exponential wave of progress, not as its cause.

Whether Constantine is Nayib Bukele, Donald Trump, or Milei: it doesn’t matter. It’s the dynamic that matters. The counterculture becomes so dominant, that the “rulers” of the world are wanting to be part of it. Which will be followed by “rules” that favour the ideology, movement, and beliefs.

5. Tolerance and protection for ideology In 313 Constatines Edict of Milan granted freedom to Christians that were remarkable for that time and a model for religious toleration for the coming centuries.

The tide was turning, and by 380 Emperor Theodosius made Christianity Rome's official religion, more than half the population had already converted. In a few short centuries Christianity had gone from radical counterculture to dominant cultural power. This was an extraordinary shift in the church's relationship with the world. The edict expressly grants religious liberty to Christians, who had been the object of special persecution, but also goes even further and grants liberty to all other religions. And then, in 410, the world itself changed.

It changed from grassroots, bottom-up adoption to some kind of nation state adoption. One that was driven by decrees and edicts, instead of the analog cyberhornets of that day. Actually, the ideas of Indulgences were introduced via these Edicts, something that Maarten Luther actually was fighting against in the 1500s.

The world changed from the state-less Christian belief and moved (back) towards a system in which the state and church were connected again. Yes — the Roman Catholic Church. Until the previously mentioned critics during the Reformation.

6. Fall of the empire, end of the status quo When people speak of the fall of the Roman Empire, they usually mean in the 5th century when the western half fell. But there was also an eastern half, known as the Byzantine Empire (with its capital in what is modern-day Istanbul).

How did this relate to the movement that once was Cult, and now suddenly had become Culture?

It was Augustine, the north African bishop (354-430), who laid the foundation for a new philosophical, theological, and legal system. He distinguished between the fragile earthly realm and the eternal heavenly kingdom. Rome was “a city of man”, which fell. But the “city of God” was forever. He continued to separate the Roman Catholic Church from the faith that it once was. This distinction was vital, and it gave rise to the concept of "the secular realm". He planted the first ideas of "the separation of church and state" again, which started to spread throughout Europe during the supposedly "sandy desert" of the Middle Ages.

The parallel and lesson here might be that narratives can be taken over, for the worse. And that it takes centuries to take back the narrative, but/and only after an empire has fallen. Whether we refer to “The Fourth Turning” by William Strauss and Neil Howe or “Changing World Orders” by Ray Dalio. There is something to preserve, and it needs active monitoring and pushbacks!

7. Missionary, spreading the word The way the church sought to spread its influence would become a question that would take many centuries (and many failures) to settle. In the past, empires sought to spread their influence almost always by force. Christianity has been a missionary faith from the beginning. It was for this reason that Pope Gregory the Great sent Augustine to Britain to convert the Anglo-Saxons.

Augustine was commanded by Gregory to use only "gentle means". His goal was persuasion. His method was teaching and preaching. And he was successful, converting King Aethelbert of Kent and becoming the first Archbishop of Canterbury.

You see what I’m talking about again: the parallel is simple. Bitcoin is a similar peaceful revolution, a missionary movement, of those that wish to see their Cult turn into a Culture. “Genle means”, teachings, persuasions. Or in pleb terminology: Orangepilling.

8. Persuasion and education are key Over the next decades and centuries, this movement continued. English Benedictine monk (675-754) Boniface was sent from the previously “barbarian” Britain to “orangepill the East” – in this case the Saxons in the Germanic lands. In the words of his advisor, the Bishop of Winchester, his goal was "to convince them by many documents and arguments". This mission of persuasion and education was largely successful. Today he’s better known as “the Apostle to the Germans". He was killed in The Netherlands (Dokkum).

Boniface kept to a policy of non-violence and non-retaliation, even to the point of death. Another famous writer about this topic, Tom Holland, summarises the lesson we learn from Boniface: "to convert was to educate".

In the following century this lesson was sorely needed by the Frankish king Charles the Great, aka Charlemagne (742-814). Charlemagne's path to power was a brutal one. When the Saxons stood in his way, Charlemagne beheaded 4,500 of them in a single day. There are concrete reasons why "getting medieval" might be associated today with brutality.

Is “Bitcoin as Legal Tender”, whether this is peaceful or violently, the way to go? Are we “getting medieval” with these kind of measures, in order to go from Cult to Culture, from counterculture to dominant culture, in which we lose the true essence of our revolution of separation of the state from the matter?

9. Age of Enlightenment Alcuin of York (735-804), was bold enough to write to Charlemagne directly with his criticism. "A person can be drawn into the faith, not forced into it". Be a lighthouse, not a tugboat!

The church's official teaching would later agree with Alcuin's position. In the 12th century all "harsh means" were forbidden since faith arises from the will, not compulsion. Enlightenment comes through education and persuasion.

There’s work to do. Grassroots. Education. Peer-to-peer. Not directed by politicians, nor opposed by those in power. Through education and persuasion. Rules without rulers. Because eventually, with the Crusades and the Spanish Inquisition, there are stark examples of the church using “harsh means" again. Forcing Bitcoin on people will never be the way: it’s a cheat code to the end goal. In order to succeed, we’ll need to be a missionary.

Final words I don’t want in any way to compare Christianity in itself as a faith, and Bitcoin as a technology, with each other. I enjoyed exploring the sociological phenomena between two countercultures, the grassroots movement and missionary parallels between both of them. Satoshi gave the first assist, with the 31st of October (Whitepaper Day) and the Genesis Block on January 3rd.

Let’s not mix religion with monetary systems, even though there are many similarities between certain movements. That’s not my goal for sharing this brain dump. But let’s learn from the past, from Constatine’s Edict and from Augustine, from Charlemagne (and especially Alcuin of York), from Boniface and from Maarten Luther. And from Satoshi Nakamoto.

@ 3906af02:af15c9f4

NEW: HRF #Bitcoin Development Fund grants 700 million satoshis to 20 projects worldwide!

https://bitcoinmagazine.com/business/human-rights-foundation-donates-700000000-satoshis-to-fund-bitcoin-development-and-projects

The grants cover decentralized #Bitcoin mining, technical education, decentralized communications, independent media & privacy-enhanced financial solutions for human rights groups, focusing on key regions in Latin America, Asia, and Africa 🌍🌏🌎🎁

Grants include:

🛠️ Stratum V2 Reference Implementation (SRI) decentralizes #Bitcoin mining by allowing nodes create their own block templates, reducing reliance on large pools. Funds will support @bit-aloo’s work on SRI including benchmarking tools, integration tests & codebase maintenance

⛏️ Public Pool makes #Bitcoin mining accessible for low-hash-rate devices, empowering individuals to self-host mining servers & contribute to decentralization. Funds will support hosting costs, hardware upgrades, & operational expenses.

🛠️ Jon Atack, recognized as one of the top all-time contributors to #Bitcoin Core, plays a pivotal role in enhancing Bitcoin’s decentralization and robustness. Funds will empower him to continue his vital contributions to Bitcoin development

👩🏿‍💻 Naiyoma, the first female #Bitcoin Core developer from Africa. Her work focuses on reviewing pull requests (PRs), addressing bugs through new PRs & improving Bitcoin Core’s codebase. Funds will support her full-time contributions to advancing Bitcoin Core.

🔒 Daniela Brozzoni, a #Bitcoin Core developer who previously contributed to the Bitcoin Development Kit (BDK). This grant will support her full-time contributions to Bitcoin Core reviewing key pull requests (PRs), contributing to new features & improving testing coverage

📱 UX/UI Design for Bitcoin Core by @Michaelhaase will bring the #Bitcoin Core App to mobile enabling users to run nodes, access essential wallet features directly on their phones to improve their financial privacy. Funding will support the project’s design & development.

🚀 Brink, co-founded by Mike Schmidt, supports #Bitcoin protocol engineers with grants and offers training & mentorship to onboard new contributors to open-source development. This grant will support operational expenses

⚡@Tando.me, cofounded by Sabina Gitau, integrates #Bitcoin with Kenya’s M-PESA system, enabling KYC-free, fee-free Lightning payments for everyday transactions for 54 million Kenyans. Funds will help boost Tando’s liquidity, support user growth & drive African expansion.

🌐 YakiHonne, a Nostr client founded by Wendy Ding, supports free speech & promote #Bitcoin payments across 170 countries with innovative functionality & a blend of online & offline events. Funds will support smart widget development, relay improvements & community events.

🌍 SeedSigner Multi-language Support brings accessibility to the open-source SeedSigner hardware wallet, empowering marginalized communities through inexpensive & accessible self-custody. Funds support Ace to deliver a multi-language version of SeedSigner.

🤝 Vexl, cofounded by Lea Petrasova, provides a private, KYC-free, peer-to-peer #Bitcoin trading experience by connecting users to trade through the social graph of their phone contacts. Funds will support expanded adoption in Africa & improvements to the backend infrastructure.

🇮🇳 Tomatech is building developer talent in Goa, India to advance #Bitcoin infrastructure & FOSS projects through training, workshops, & community meetups. Funding will support developer training, the creation of a developer hub, bounties & grants, & general operations.

💾 Krux, open-source firmware that turns generic devices into hardware wallets for secure #Bitcoin self-custody featuring air-gapped operations, key management & backups & support for 10 languages. Funding will support @odudex to advance this project.

🔐 Iris, a #Nostr web client by @MarttiMalmi, which aims to improve protection for metadata & message content, ensuring conversations remain private, especially in surveillant environments. Funding will support hiring an additional developer to expand Iris' features & functionality.

💻 Cashu-ts, the primary Software Development Kit in the @CashuBTC ecosystem developed by @Gandlaf21, simplifies wallet creation, integrates the latest protocol updates & powers popular wallets. Funds will support the developers to maintain & improve this essential library.

🤝 Unify, a Payjoin wallet developed by Fontaine, enhances privacy in #Bitcoin transactions by obscuring transaction histories, crucial for individuals navigating repressive regimes. Funds will support the developer to ship new features & expand compatibility with other wallets.

📢 The Financial Freedom Policy Coalition, led by Venezuelan activist Jorge Jraissati, promotes economic opportunities for people living under authoritarian regimes. Funds will support advocacy missions to educate policymakers on how #Bitcoin supports human rights.

🎓 African UX Bitcoin Bootcamp, led by @MouxDesign, empowered 10 African UX designers with #Bitcoin UX research skills ahead of the Africa Bitcoin Conference & support to test 5 popular Bitcoin products during the conference. Funds cover all program expenses for participants.

📰 No BS Bitcoin delivers ad-free, privacy-focused #Bitcoin news in clear & accessible format, essential for activists & citizens under authoritarian regimes. This grant ensures continued operations, adds an editor & supports Nostr features like Zaps & comments.

📖 Bitcoin History, a research project by Pete Rizzo, documenting key people, events & materials that shaped Bitcoin’s rise as a global monetary & human rights force. Fund will support a researcher to investigate & document stories of Bitcoin’s use against authoritarianism.

🌎 HRF is committed to supporting human rights and financial freedom with #Bitcoin.

If you are working on a #Bitcoin or adjacent freedom tech software (Nostr, eCash, TOR etc), education or adoption project that meets our mandate, submit your application at http://hrf.org/bdfapply 💪

@ 3f770d65:7a745b24

Here are my predictions for Nostr in 2025:

Decentralization: The outbox and inbox communication models, sometimes referred to as the Gossip model, will become the standard across the ecosystem. By the end of 2025, all major clients will support these models, providing seamless communication and enhanced decentralization. Clients that do not adopt outbox/inbox by then will be regarded as outdated or legacy systems.

Privacy Standards: Major clients such as Damus and Primal will move away from NIP-04 DMs, adopting more secure protocol possibilities like NIP-17 or NIP-104. These upgrades will ensure enhanced encryption and metadata protection. Additionally, NIP-104 MLS tools will drive the development of new clients and features, providing users with unprecedented control over the privacy of their communications.

Interoperability: Nostr's ecosystem will become even more interconnected. Platforms like the Olas image-sharing service will expand into prominent clients such as Primal, Damus, Coracle, and Snort, alongside existing integrations with Amethyst, Nostur, and Nostrudel. Similarly, audio and video tools like Nostr Nests and Zap.stream will gain seamless integration into major clients, enabling easy participation in live events across the ecosystem.

Adoption and Migration: Inspired by early pioneers like Fountain and Orange Pill App, more platforms will adopt Nostr for authentication, login, and social systems. In 2025, a significant migration from a high-profile application platform with hundreds of thousands of users will transpire, doubling Nostr’s daily activity and establishing it as a cornerstone of decentralized technologies.

@ b97f07c7:a9ddca71

เปิดโลก social ยุคอนาคต ที่ creator ได้รับเงินจากคนอ่าน content เต็ม 100%! ทำความรู้จัก Nostr ที่จะเปลี่ยนโลกการใช้ social ของคุณกัน!

content จากประสบการณ์จริง ที่ดองนานในระยะนึงล่ะ แต่บอกเลยว่ามันก็ solve pain point ของ user ที่ไม่อยากลับลู้ว่า AI ของ platform นั้น มาคอย suggest อะไรที่เราไม่ได้ตาม

ส่วน content creator เอง เราเป็นคนเขียน คนทำ content บน platform นั้น ๆ ทุกอย่างควบคุมโดย platform ซึ่ง platform อาจจะถูกปิดเมื่อไหร่ก็ได้ ส่วนใหญ่โดนลด reach บางคนโดน platform ลบโพส บางคนโดน platform แบน เราจึงต้องมี asset เป็นของตัวเองอย่าง website ไม่งั้น content ที่เราตั้งใจทำหายไปเสียดายแย่เลย

ซึ่ง concept และการใช้งาน Nostr นั้นลด pain point ของ creator ที่ต้องไปทุก platform เพื่อครอง keyword ซึ่งเหนื่อยมาก ๆ ถ้าเป็นสายแบบเราที่เน้นโค้ดหน่อย ๆ ต้องมาสร้างผู้ติดตามใหม่ แต่ละช่องทางได้กลุ่มผู้ติดตามต่างกันอีก

ร่ายมายาวขนาดนี้เข้าเรื่อง Nostr ได้แล้ว ว่าแต่มันคืออะไร ใช้งานยังไง ต้องทำอะไรบ้าง ไปดูกันนนน

ปล. บทความนี้เป็นแนวแนะนำว่ามันคืออะไร ใช้งานยังไง ยังไม่ลงลึกด้านเดฟนะ คืออยากให้ใช้ให้เป็นก่อนนนนนน

Nostr คืออะไร?

Nostr ย่อมาจาก Notes and Other Stuff Transmitted by Relays เป็น open protocol ที่ถูกพัฒนาโดย Giovanni Torres Parra มีจุดประสงค์คือ สร้างเครือข่ายสังคมออนไลน์ที่ไม่ถูกควบคุมหรือเซ็นเซอร์

ในที่นี้ Notes หมายถึง social media และ other stuff คือ data communication

แล้ว protocol คืออะไรล่ะ? ก็คือเราคุยกันผ่านช่องทางไหนยังไง เช่น sms, email อะไรงี้

ดังนั้นมันก็คือ note & other stuff ที่ถูก transmit โดย Relays นั่นเอง

Workflow

ปกติเราทำแอพขึ้นมาแอพนึงประกอบด้วยอะไรบ้าง?

เดิมทีทีมแอพก็มีทีมหน้าบ้าน อย่าง frontend developer หรือ mobile developer อย่าง iOS และ Android แล้วก็ทีมหลังบ้าน backend developer ที่เป็นคนทำระบบหลังบ้าน ไม่ว่าจะเป็นทำ API ให้หน้าบ้านคุยกับ server แล้วก็จัดเก็บข้อมูลลง database ด้วย

flow ก็คือ user download แอพมา หรือใช้ website ตัวแอพหน้าบ้านจะเรียก API เพื่อทำอะไรบางอย่าง เช่น เปิดแอพมาเรียก API เพื่อ check ว่าเรา login อยู่ไหม แล้วก็ดึงหน้า feed มาแสดง

สำหรับ Nostr จะมีแค่คนทำหน้าบ้านเท่านั้น โดยตัวแอพเชื่อมต่อกับ relay ผ่านมาตรฐานของ NIP

ดังนั้น developer อย่างเราจะทำ client หรือตัวแอพที่ใช้ Nostr ได้เลย โดยใช้ Relay เดียวกันได้เลย ภายใต้มาตรฐานของ NIP เวลา user เปลี่ยนแอพใหม่ ตัวข้อมูล ตัวโพสต่าง ๆ ยังคงอยู่เหมือนเดิมที่ delay ไม่ต้องไปสร้าง follower ใหม่บน platform ใหม่ ๆ ให้เสียเวลา

การทำงานของ Nostr

สามารถดูตามภาพนี้ได้เลย เป็นภาพพื้นฐานในการเล่าเลย การทำงานเขาจะแบ่งเป็น 2 ฝั่ง คือ

• Client: คือแอพพลิเคชั่นที่ใช้เล่น Nostr นั่นแหละ เป็นฝั่ง user จะมี key pair คือ private key ใช้ในการยืนยันตัวตนนั่นแหละ เช่น เราเป็นคนโพสอันนี้นะ (เก็บไว้ให้ดี ๆ) และ public key บอกว่าเราคือใคร การทำงาน ตัว client เชื่อมต่อกับตัว relay เช่น บอกว่าใครเป็นคนสร้าง content นี้ หรือเราจะสร้าง content ใน Nostr ก็จะส่งข้อมูลรายละเอียดโพสอย่าง kind, content, tags, pubkey, create_at ตามมาตรฐาน NIPs ส่งไปที่ relay
• Relay: คือ database ตัวนึง ที่เป็นรูปแบบแบบกระจายศูนย์ ได้รับ event อะไร และส่งอะไรกลับไปบ้าง

ref: https://github.com/nostr-protocol/nostr

แล้ว Client และ Relay สื่อสารระหว่างกันยังไง คุยกันผ่าน WebSocket นะ แล้วแต่ละ event จะส่งมาใน JSON format น่ะ

คุณสมบัติของ Nostr

• decentralized: relay คือ database แบบกระจายศูนย์
• open protocol: Nostr เป็น open protocol สามารถใช้งานได้หลายอย่าง
• censorship-resistant: user มีสิทธิ์เลือก relay เองได้
• high security: encrypt ข้อมูลส่วนตัวก่อนส่งทุกครั้ง

มาตรฐาน NIP

NIP ย่อมาจาก Nostr Implementation Possibilities คือ มาตรฐาน protocol ที่ใช้กันสำหรับ Nostr

ใน content นี้เราไม่ลงลึกมาก เดี๋ยวจะงงกัน เอาให้เห็นภาพคร่าว ๆ เพราะมันมีเยอะมาก

หลัก ๆ ที่เราใช้งานกัน จะมี

• NIP-01: Basic protocol เป็นอันพื้นฐานที่ต้องรู้ บอกโครงสร้าง event การรับส่งข้อมูลต่าง ๆ ทำให้เรารู้โครงสร้างแล้วเอาไปสร้าง client ได้เลย ทำให้ developer focus ที่โครงสร้างนี้อันเดียวเท่านั้นในการพัฒนา เช่น post บน Nostr นั่นแหละ
• NIP-05: Nostr Address บอกว่าเราเป็นใครใน internet ฟีลเดียวกันกับ email address ทำให้เราตั้งชื่อบัญชีให้จดจำได้ง่าย ช่วยในการค้นหาและติดตามกันได้ง่ายยิ่งขึ้น เช่นจากที่เราต้องเพิ่มเพื่อนผ่าน Nostr public key ที่ยาวเหลือเกิน เป็นอะไรสั้น ๆ ฟีล email เช่น mikkipastel@siamstr.com
• NIP-23: Long-form article พวก blog ต่าง ๆ
• NIP-53: สำหรับ live stream

ส่วนแบบอื่น ๆ สามารถอ่านรายละเอียดได้ที่นี่เลย https://github.com/nostr-protocol/nips/blob/master/README.md

เริ่มใช้งานบนมือถือ

จาก workflow เราจะเห็นว่าเราสามารถใช้ client ตัวไหนก็ได้ในการเล่น Nostr และโลกของ Nostr มีตัวเลือกให้เราเยอะมากก แล้วเราจะเริ่มยังไงดี?

1. ติดตั้ง Wherostr เป็นแอพที่ทีมคนไทยทำ ใช้ง่ายมาก ๆ สามารถ download ได้ทั้ง App Store และ Play Store
2. แน่นอนว่าเรายังไม่มี account ให้สร้าง account
3. ปรับแต่ง profile ให้เรียบร้อย
4. เก็บ private key ไว้ในที่ปลอดภัย เพราะเป็น key ยืนยันตัวตนว่าเป็นเราในการทำธุรกรรมต่าง ๆ ในที่นี้คือสร้างโพส, กด like, กด share, รวมถึง zap ด้วย ในแอพอาจจะยังไม่เห็น process นี้ ต้องบนคอม

Tips: ไปรับ NIP05 สวย ๆ ได้ที่ https://siamstr.com/

การที่เราสร้าง account ใหม่นั้น จะเป็นการสร้าง key pair อันประกอบด้วย - public key: ขึ้นต้นด้วย npub1... โดยสามารถเพิ่มเพื่อนใน Nostr ผ่านอันนี้ได้ ซึ่งบอกว่าเราเป็นใคร - private key: ขึ้นต้นด้วย nsec1... เป็นส่วนที่เราต้องเก็บไว้ให้ดีเลย เพราะต้องเอามาใช้ sign กับการทำธุรกรรมของเรา เช่น การ login, สร้าง post, reaction post ใด ๆ

เชื่อมกับกระเป๋า Lightning

เชื่อมเพื่อรับ sat จากเพื่อน ๆ โดย sat เป็นหน่วยย่อยของ Bitcoin มาจาก Satoshi อันเป็นนามแฝงของผู้สร้าง Bitcoin โดย 1 Bitcoin = 100,000,000 Satoshi

1. ติดตั้ง Wallet of Satoshi ตัวแอพนี้เป็น custodial wallet ที่เราไม่ต้อง set อะไรเอง แต่เราไม่ได้ถือ key ของกระเป๋านี้เองนะ สามารถ download ได้ทั้ง App Store และ Play Store
2. เชื่อม email กับ Wallet of Satoshi เลข Lightning Wallet กดปุ่ม Receive แล้วก็ copy
3. กลับมาที่ Wherostr ไปที่ Profile ของเรา กด Edit Profile
4. วางเลขเป๋าตรง Bitcoin Lightning Address แล้วก็กด save

การใช้งานทั่วไป

ขอเปรียบเทียบกับ social network ที่เราใช้กันอยู่เนอะ สมัยก่อนโพสจะเรียงตามลำดับเวลา และเพิ่มเพื่อนหรือติดตามเพจก่อน เราถึงจะเห็น content เขาใน feed

แต่สมัยนี้ AI นำหมด ลองไถ feed ดูสิ เจอเพื่อนเราหรือเพจที่เราตามเท่าไหร่ใน 10 post ทำให้ตัว content creator ต้องเรียนรู้ algorithm ของ platform นั้น ๆ เพื่อให้ content ของเราผู้ติดตามเห็นมากขึ้น (งงม่ะ)

แล้ว Nostr ล่ะ? เหมือน social network สมัยก่อนที่เรียง feed ตามเวลาเลย เราสามารถกดติดตามเพื่อนได้ (และระบบนั้นให้เราได้ติดตามตัวเราเองได้ด้วยนะ5555) และอ่านโพสเพื่อน ๆ คนไทยใน Nostr ได้ผ่าน #siamstr

การสร้างโพส

การโพสก็แสนจะง่ายดาย กด + ตรงกลาง แล้วพิมพ์ เพิ่มรูปใด ๆ ได้ตามใจชอบเลย ฟีลประมาณ medium แหละเนอะ สำหรับ wherostr สามารถ tag สถานที่ได้ด้วย

จุดที่น่าสนใจ คือปุ่มเหมือน CPU กดไปดูจะพบว่าเราสามารถเลือก Proof of Work difficulty level ได้ ซึ่งถ้าเราตั้งไว้เพื่อกัน spam แหละ ถ้าตั้งสูงก็ใช้เวลาในการ solve นาน ซึ่ง default POW เป็น 8

เอ้ออย่าลืมติด #siamstr ด้วย

เมื่อเรียบร้อยแล้ว Post แล้วรอแปป โพสของเราเมื่อสร้างเสร็จแล้วจะอยู่บนสุดเหมือนแอพ social media ทั่วไปเลย

ข้อพึงระวัง

• ลงแล้ว edit post ไม่ได้
• และลบไม่ได้ด้วยนะจ๊ะ
• แชร์ลิ้งได้ แต่ก็ไม่แน่ใจว่าเพื่อนเปิดยังไงได้บ้าง บาง client อย่าง Yakihonne สามารถ share url link Nostr post ของเราได้เลยนะ

เราสามารถกด report, comment และ like ตามปกติเลย แต่มีปุ่มนึงเพิ่มมาจาก social network อื่น ๆ คือ zap นั่นเอง

Zap คืออะไร?

แน่นอนไม่ใช่การแอบแซ่บ แต่เป็นการที่เราเอา Bitcoin บน lightning มาใช้จ่ายต่าง ๆ เช่น เอาไปซื้อชากาแฟ หมูปิ้ง เค้กท้อฟฟี่ชลบุรี ปลากรอบ Crispy Will รวมถึงการ donate ให้กับเจ้าของ content ที่คนนี้เขียนดีมาก เรากด zap ให้เขาดีกว่า หรือไป zap ที่ profile ก็ได้ซึ่งทุก sat (satoshi หน่วยย่อยของ Bitcoin) ที่เขาส่งมาให้ เราได้รับครบทุก sat แบบไม่หักจาก platform เลย

วิธีการ zap ผ่าน Wherostr มี 2 ทาง คือ - zap ให้กับคนนั้น ๆ ที่ profile: ไปที่ profile ของเขา แล้วเราจะเห็นปุ่มสายฟ้า - zap ที่ post นั้น ๆ: เลื่อนไปล่างสุด เราจะเห็นปุ่ม repost, like, comment และอีกอันที่เป็นสายฟ้าคือ Zap

เมื่อกดปุ่ม Zap แล้ว เข้าไปหน้า Zap เลือกจำนวน sat ที่เราต้องการ Zap อาจจะใส่ข้อความไปด้วยก็ได้ แล้วก็กดปุ่ม Zap ด้านล่าง

จากนั้นมันจะเด้งไป Wallet of Satashi ที่เรา connect ไว้ ตรวจสอบธุรกรรม เรียบร้อยแล้วกด Send เขียว ๆ รอสักแปป เมื่อสำเร็จแล้วเราจะเห็นหน้าเขียว ๆ แบบนี้เลย

ถึงเงินอาจจะไม่ได้มากมายอะไรมัก ก็เป็นสิ่งที่ platform web2 ให้ไม่ได้เลยนะ กับความรู้สึกดี ๆ แบบนี้ ที่ลง content แล้วมีคนมา Zap ให้ ในขนาดที่ platform web2 ไม่มีคนกด send gift ให้เลย ฮือออออออออออ

Client App อื่น ๆ ที่น่าสนใจ

จริง ๆ เราจะใช้แอพ Client อื่น ๆ เล่น Nostr ได้นะ เพราะว่า Relay สามารถใช้ร่วมกันได้ในหลาย ๆ แอพ

ก่อนที่จะมีแอพ Wherostr เขาจะแนะนำกันว่า

ถ้าใช้ iOS ใช้แอพ Damus ส่วนชาว Android ใช้ Amethyst

ตอนนั้นที่เราลองเล่นเอง เราสร้าง account ผ่าน Iris แหละ เพราะ ก่อนหน้าที่เรารู้จัก Wherostr และเข้าใจ Nostr เราได้ลองกับ Nostr browser นึงที่ชื่อว่า Spring ในนั้นมีหลาย ๆ client ให้เราจิ้มเล่น และแอพนี้มีเฉพาะ Android เท่าน้านนน

สายเขียนบล็อก: Habla, Yakihonne, Npub.pro

ส่วนสายสตรีม: Zap.Stream

ส่วน Client อื่น ๆ สามารถเข้าไปดูได้ที่นี่ ซึ่งในนี้เป็นแค่ส่วนหนึ่งเท่านั้นแหละ https://nostrapps.com/

เริ่มใช้งานบนคอม

หลาย ๆ client นอกจากจะมีเป็นแอพบนมือถือ ยังมีเป็นหน้าเว็บไซต์อีกด้วย

สิ่งที่ต้องมีเพิ่มเติม คือ extension ที่ชื่อว่า Nostr Connect เราใส่ private key เข้าไปในนั้น พอเวลา sign transection ตัว extension จะไม่เอา private key ของเราตรง ๆ

หลังจากติดตั้ง extension ตัวนี้แล้ว การใช้งาน สมมุติเข้าเว็บ Wherostr กดปุ่ม Login แล้วจะมีหน้า popup เด้งมา ให้กด Login with Nostr extension แล้วจะขึ้นหน้าต่างให้เรา sign สองอัน คือ อ่าน public key กับ Relay

เมื่อ login เรียบร้อยแล้ว สมมุติเราสร้างโพสบนเว็บ Wherostr จามปกติ เรียบร้อยแล้วกด Post เขาจะให้เรา sign event ว่าเราเป็นคนสร้าง post นี้นะ เราจะเห็น transaction ออกมาเป็น json เลย ตามมาตรฐาน NIP-01

ปล. จริง ๆ จะกดไม่ให้เปิด popup ก็ได้นะ แต่เราอยากเปิดไว้เอง เอาไว้ check

และ extension อีกตัวที่มีคนแนะนำก่อนหน้านี้คือ Alby ตอนนี้ไม่ต้องไปขอ access code ก่อนถึงจะใช้ได้ สามารถเข้าไปสมัครที่นี่ได้เลย

https://getalby.com/

สุดท้าย ก็หวังว่าทุกคนรู้จัก Nostr กันไม่มากก็น้อยเนอะ

ถ้าใครอยากติดตามเราบน Nostr สามารถเปิดแอพ Wherostr หรืออื่น ๆ เพื่อ scan QR Code นี้ได้ หรือ copy public key หรือ Nostr user ไปหาได้น้า

แน่นอนในนี้เป็นการแท็กเราเอง nostr:npub1h9ls03lflhvgzzmkf6nsymspw3auh0f3d97c02e5l4edn2waefcszlq9qf

Reference

• https://nostr.com/
• https://github.com/nostr-protocol/nostr
• https://rightshift.to/2023/kp/14251/
• จริง ๆ ก็เอามาจากงาน Thailand Bitcoin Conference 2024 ที่เขียนไปด้วยแหละ แต่บวกกับการใช้งานจริงด้วย https://www.mikkipastel.com/thailand-bitcoin-conference-2024/

@ 29af23a9:842ef0c1

A Indústria Pornográfica se caracteriza pelo investimento pesado de grandes empresários americanos, desde 2014.

Na década de 90, filmes pornográficos eram feitos às coxas. Era basicamente duas pessoas fazendo sexo amador e sendo gravadas. Não tinha roteiro, nem produção, não tinha maquiagem, nada disso. A distribuição era rudimentar, os assinantes tinham que sair de suas casas, ir até a locadora, sofrer todo tipo de constrangimento para assistir a um filme pornô.

No começo dos anos 2000, o serviço de Pay Per View fez o número de vendas de filmes eróticos (filme erótico é bem mais leve) crescer mas nada se compara com os sites de filmes pornográficos por assinatura.

Com o advento dos serviços de Streaming, os sites que vendem filmes por assinatura se estabeleceram no mercado como nunca foi visto na história.

Hoje, os Produtores usam produtos para esticar os vasos sanguíneos do pênis dos atores e dopam as atrizes para que elas aguentem horas de gravação (a Série Black Mirror fez uma crítica a isso no episódio 1 milhão de méritos de forma sutil).

Além de toda a produção em volta das cenas. Que são gravadas em 4K, para focar bem as partes íntimas dos atores. Quadros fechados, iluminação, tudo isso faz essa Indústria ser "Artística" uma vez que tudo ali é falso. Um filme da Produtora Vixen, por exemplo, onde jovens mulheres transam em mansões com seus empresários estimula o esteriótipo da mina padrão que chama seu chefe rico de "daddy" e seduz ele até ele trair a esposa.

Sites como xvídeos, pornHub e outros nada mais são do que sites que salvam filmes dessas produtoras e hospedam as cenas com anúncios e pop-ups. Alguns sites hospedam o filme inteiro "de graça".

Esse tipo de filme estimula qualquer homem heterosexual com menos de 30 anos, que não tem o córtex frontal de seu cérebro totalmente desenvolvido (segundo estudos só é completamente desenvolvido quando o homem chega aos 31 anos).

A arte Pornográfica faz alguns fantasiarem ter relação sexual com uma gostosa americana branquinha, até escraviza-los. Muitos não conseguem sair do vício e preferem a Ficção à sua esposa real. Então pare de se enganar e admita. A Pornografia faz mal para a saúde mental do homem.

Quem sonha em ter uma transa com Lana Rhodes, deve estar nesse estágio. Trata-se de uma atriz (pornstar) que ganhou muito dinheiro vendendo a ilusão da Arte Pornografica, como a Riley Reid que só gravava para grandes Produtoras. Ambas se arrependeram da carreira artística e agora tentam viver suas vidas como uma mulher comum.

As próprias atrizes se consideram artistas, como Mia Malkova, chegou a dizer que Pornografia é a vida dela, que é "Lindo e Sofisticado."

Mia Malkova inclusive faz questão de dizer que a industria não escravisa mulheres jovens. Trata-se de um negócio onde a mulher assina um contrato com uma produtora e recebe um cachê por isso. Diferente do discurso da Mia Khalifa em entrevista para a BBC, onde diz que as mulheres são exploradas por homens poderosos. Vai ela está confundindo o Conglomerado Vixen com a Rede Globo ou com a empresa do Harvey Weinstein.

Enfim, se você é um homem solteiro entre 18 e 40 anos que já consumiu ou que ainda consome pornografia, sabia que sofrerá consequências. Pois trata-se de "produções artísticas" da indústria audiovisual que altera os níveis de dopamina do seu cérebro, mudando a neuroplasticidade e diminuindo a massa cinzenta, deixando o homem com memória fraca, sem foco e com mente nebulosa.

Por que o Estado não proíbe/criminaliza a Pornografia se ela faz mal? E desde quando o Estado quer o nosso bem? Existem grandes empresarios que financiam essa indústria ajudando governos a manterem o povo viciado e assim alienado. É um pão e circo, só que muito mais viciante e maléfico. Eu costume dizer aos meus amigos que existem grandes empresários jvdeus que são donos de grandes Produtoras de filmes pornográficos como o Conglomerado Vixen. Então se eles assistem vídeos pirateados de filmes dessas produtoras, eles estão no colo do Judeu.

@ 7ed7d5c3:6927e200

There was a time when we dared not rustle a whisper. But now we write and read samizdat and, congregating in the smoking rooms of research institutes, heartily complain to each other of all they are muddling up, of all they are dragging us into! There’s that unnecessary bravado around our ventures into space, against the backdrop of ruin and poverty at home; and the buttressing of distant savage regimes; and the kindling of civil wars; and the ill-thought-out cultivation of Mao Zedong (at our expense to boot)—in the end we’ll be the ones sent out against him, and we’ll have to go, what other option will there be? And they put whomever they want on trial, and brand the healthy as mentally ill—and it is always “they,” while we are—helpless.

We are approaching the brink; already a universal spiritual demise is upon us; a physical one is about to flare up and engulf us and our children, while we continue to smile sheepishly and babble:

“But what can we do to stop it? We haven’t the strength.”

We have so hopelessly ceded our humanity that for the modest handouts of today we are ready to surrender up all principles, our soul, all the labors of our ancestors, all the prospects of our descendants—anything to avoid disrupting our meager existence. We have lost our strength, our pride, our passion. We do not even fear a common nuclear death, do not fear a third world war (perhaps we’ll hide away in some crevice), but fear only to take a civic stance! We hope only not to stray from the herd, not to set out on our own, and risk suddenly having to make do without the white bread, the hot water heater, a Moscow residency permit.

We have internalized well the lessons drummed into us by the state; we are forever content and comfortable with its premise: we cannot escape the environment, the social conditions; they shape us, “being determines consciousness.” What have we to do with this? We can do nothing.

But we can do—everything!—even if we comfort and lie to ourselves that this is not so. It is not “they” who are guilty of everything, but we ourselves, only we!

Some will counter: But really, there is nothing to be done! Our mouths are gagged, no one listens to us, no one asks us. How can we make them listen to us?

To make them reconsider—is impossible.

The natural thing would be simply not to reelect them, but there are no re-elections in our country.

In the West they have strikes, protest marches, but we are too cowed, too scared: How does one just give up one’s job, just go out onto the street?

All the other fateful means resorted to over the last century of Russia’s bitter history are even less fitting for us today—true, let’s not fall back on them! Today, when all the axes have hewn what they hacked, when all that was sown has borne fruit, we can see how lost, how drugged were those conceited youths who sought, through terror, bloody uprising, and civil war, to make the country just and content. No thank you, fathers of enlightenment! We now know that the vileness of the means begets the vileness of the result. Let our hands be clean!

So has the circle closed? So is there indeed no way out? So the only thing left to do is wait inertly: What if something just happens by itself?

But it will never come unstuck by itself, if we all, every day, continue to acknowledge, glorify, and strengthen it, if we do not, at the least, recoil from its most vulnerable point.

From lies.

When violence bursts onto the peaceful human condition, its face is flush with self-assurance, it displays on its banner and proclaims: “I am Violence! Make way, step aside, I will crush you!” But violence ages swiftly, a few years pass—and it is no longer sure of itself. To prop itself up, to appear decent, it will without fail call forth its ally—Lies. For violence has nothing to cover itself with but lies, and lies can only persist through violence. And it is not every day and not on every shoulder that violence brings down its heavy hand: It demands of us only a submission to lies, a daily participation in deceit—and this suffices as our fealty.

And therein we find, neglected by us, the simplest, the most accessible key to our liberation: a personal nonparticipation in lies! Even if all is covered by lies, even if all is under their rule, let us resist in the smallest way: Let their rule hold not through me!

And this is the way to break out of the imaginary encirclement of our inertness, the easiest way for us and the most devastating for the lies. For when people renounce lies, lies simply cease to exist. Like parasites, they can only survive when attached to a person.

We are not called upon to step out onto the square and shout out the truth, to say out loud what we think—this is scary, we are not ready. But let us at least refuse to say what we do not think!

This is the way, then, the easiest and most accessible for us given our deep-seated organic cowardice, much easier than (it’s scary even to utter the words) civil disobedience à la Gandhi.

Our way must be: Never knowingly support lies! Having understood where the lies begin (and many see this line differently)—step back from that gangrenous edge! Let us not glue back the flaking scales of the Ideology, not gather back its crumbling bones, nor patch together its decomposing garb, and we will be amazed how swiftly and helplessly the lies will fall away, and that which is destined to be naked will be exposed as such to the world.

And thus, overcoming our timidity, let each man choose: Will he remain a witting servant of the lies (needless to say, not due to natural predisposition, but in order to provide a living for the family, to rear the children in the spirit of lies!), or has the time come for him to stand straight as an honest man, worthy of the respect of his children and contemporaries? And from that day onward he:

· Will not write, sign, nor publish in any way, a single line distorting, so far as he can see, the truth;

· Will not utter such a line in private or in public conversation, nor read it from a crib sheet, nor speak it in the role of educator, canvasser, teacher, actor;

· Will not in painting, sculpture, photograph, technology, or music depict, support, or broadcast a single false thought, a single distortion of the truth as he discerns it;

· Will not cite in writing or in speech a single “guiding” quote for gratification, insurance, for his success at work, unless he fully shares the cited thought and believes that it fits the context precisely;

· Will not be forced to a demonstration or a rally if it runs counter to his desire and his will; will not take up and raise a banner or slogan in which he does not fully believe;

· Will not raise a hand in vote for a proposal which he does not sincerely support; will not vote openly or in secret ballot for a candidate whom he deems dubious or unworthy;

· Will not be impelled to a meeting where a forced and distorted discussion is expected to take place;

· Will at once walk out from a session, meeting, lecture, play, or film as soon as he hears the speaker utter a lie, ideological drivel, or shameless propaganda;

· Will not subscribe to, nor buy in retail, a newspaper or journal that distorts or hides the underlying facts.

This is by no means an exhaustive list of the possible and necessary ways of evading lies. But he who begins to cleanse himself will, with a cleansed eye, easily discern yet other opportunities.

Yes, at first it will not be fair. Someone will have to temporarily lose his job. For the young who seek to live by truth, this will at first severely complicate life, for their tests and quizzes, too, are stuffed with lies, and so choices will have to be made. But there is no loophole left for anyone who seeks to be honest: Not even for a day, not even in the safest technical occupations can he avoid even a single one of the listed choices—to be made in favor of either truth or lies, in favor of spiritual independence or spiritual servility. And as for him who lacks the courage to defend even his own soul: Let him not brag of his progressive views, boast of his status as an academician or a recognized artist, a distinguished citizen or general. Let him say to himself plainly: I am cattle, I am a coward, I seek only warmth and to eat my fill.

For us, who have grown staid over time, even this most moderate path of resistance will be not be easy to set out upon. But how much easier it is than self-immolation or even a hunger strike: Flames will not engulf your body, your eyes will not pop out from the heat, and your family will always have at least a piece of black bread to wash down with a glass of clear water.

Betrayed and deceived by us, did not a great European people—the Czechoslovaks—show us how one can stand down the tanks with bared chest alone, as long as inside it beats a worthy heart?

It will not be an easy path, perhaps, but it is the easiest among those that lie before us. Not an easy choice for the body, but the only one for the soul. No, not an easy path, but then we already have among us people, dozens even, who have for years abided by all these rules, who live by the truth.

And so: We need not be the first to set out on this path, Ours is but to join! The more of us set out together, the thicker our ranks, the easier and shorter will this path be for us all! If we become thousands—they will not cope, they will be unable to touch us. If we will grow to tens of thousands—we will not recognize our country!

But if we shrink away, then let us cease complaining that someone does not let us draw breath—we do it to ourselves! Let us then cower and hunker down, while our comrades the biologists bring closer the day when our thoughts can be read and our genes altered.

And if from this also we shrink away, then we are worthless, hopeless, and it is of us that Pushkin asks with scorn:

Why offer herds their liberation? 
............................. Their heritage each generation
The yoke with jingles, and the whip.

February 12, 1974

—translated from the Russian by Yermolai Solzhenitsyn

@ 3c984938:2ec11289

It's been a journey from the Publishing Forest of Nostr to the open sea of web3. I've come across a beautiful chain of islands and thought. Why not take a break and explore this place? If I'm searching for devs and FOSS, I should search every nook and cranny inside the realm of Nostr. It is quite vast for little old me. I'm just a little hamster and I don't speak in code or binary numbers zeros and ones.

After being in sea for awhile, my heart raced for excitement for what I could find. It seems I wasn't alone, there were others here like me! Let's help spread the message to others about this uncharted realm. See, look at the other sailboats, aren't they pretty? Thanks to some generous donation of SATs, I was able to afford the docking fee.

Ever feel like everyone was going to a party, and you were supposed to dress up, but you missed the memo? Or a comic-con? well, I felt completely underdressed and that's an understatement. Well, turns out there is a some knights around here. Take a peek!

A black cat with a knight passed by very quickly. He was moving too fast for me to track. Where was he going? Then I spotted a group of knights heading in the same direction, so I tagged along. The vibes from these guys was impossible to resist. They were just happy-go-lucky. 🥰They were heading to a tavern on a cliff off the island.

Ehh? a Tavern? Slightly confused, whatever could these knights be doing here? I guess when they're done with their rounds they would here to blow off steam. Things are looking curiouser and curiouser. But the black cat from earlier was here with its rider, whom was dismounting. So you can only guess, where I'm going.

The atmosphere in this pub, was lively and energetic. So many knights spoke among themselves. A group here, another there, but there was one that caught my eye. I went up to a group at a table, whose height towed well above me even when seated. Taking a deep breath, I asked, "Who manages this place?" They unanimous pointed to one waiting for ale at the bar. What was he doing? Watching others talk? How peculiar.

So I went up to him! And introduced myself.

"Hello I'm Onigirl"

"Hello Onigirl, Welcome to Gossip"

"Gossip, what is Gossip?" scratching my head and whiskers.

What is Gossip? Gossip is FOSS and a great client for privacy-centric minded nostriches. It avoids browser tech which by-passes several scripting languages such as JavaScript☕, HTML parsing, rendering, and CSS(Except HTTP GET and Websockets). Using OpenGL-style rendering. For Nostriches that wish to remain anonymous can use Gossip over TOR. Mike recommends using QubesOS, Whonix and or Tails. [FYI-Gossip does not natively support tor SOCKS5 proxy] Most helpful to spill the beans if you're a journalist.

On top of using your nsec or your encryption key, Gossip adds another layer of security over your account with a password login. There's nothing wrong with using the browser extensions (such as nos2x or Flamingo) which makes it super easy to log in to Nostr enable websites, apps, but it does expose you to browser vulnerabilities.

Mike Points out

"people have already had their private key stolen from other nostr clients,"

so it a concern if you value your account. I most certainly care for mine.

Gossip UI has a simple, and clean interface revolving around NIP-65 also called the “Outbox model." As posted from GitHub,

"This NIP allows Clients to connect directly with the most up-to-date relay set from each individual user, eliminating the need of broadcasting events to popular relays."

This eliminates clients that track only a specific set of relays which can congest those relays when you publish your note. Also this can be censored, by using Gossip you can publish notes to alternative relays that have not censored you to reach the same followers.

👉The easiest way to translate that is reducing redundancy to publish to popular relays or centralized relays for content reach to your followers.

Cool! What an awesome client, I mean Tavern! What else does this knight do? He reaches for something in his pocket. what is it? A Pocket is a database for storing and retrieving nostr events but mike's written it in Rust with a few extra kinks inspired by Will's nostrdb. Still in development, but it'll be another tool for you dear user! 💖💕💚

Onigirl is proud to present this knights to the community and honor them with kisu. 💋💋💋 Show some 💖💘💓🧡💙💚

👉💋💋Will - jb55 Lord of apples 💋 @npub1xtscya34g58tk0z605fvr788k263gsu6cy9x0mhnm87echrgufzsevkk5s

👉💋💋 Mike Knight - Lord of Security 💋 @npub1acg6thl5psv62405rljzkj8spesceyfz2c32udakc2ak0dmvfeyse9p35c

Knights spend a lot of time behind the screen coding for the better of humanity. It is a tough job! Let's appreciate these knights, relay operators, that support this amazing realm of Nostr! FOSS for all!

This article was prompted for the need for privacy and security of your data. They're different, not to be confused.

Recently, Edward Snowden warns Bitcoin devs about the need for privacy, Quote:

“I've been warning Bitcoin developers for ten years that privacy needs to be provided for at the protocol level. This is the final warning. The clock is ticking.”

Snowden’s comments come after heavy actions of enforcement from Samarai Wallet, Roger Ver, Binance’s CZ, and now the closure of Wasabi Wallet. Additionally, according to CryptoBriefing, Trezor is ending it’s CoinJoin integration as well. Many are concerned over the new definition of a money transmitter, which includes even those who don’t touch the funds.

Help your favorite the hamster

^^Me drowning in notes on your feed. I can only eat so many notes to find you.

👉If there are any XMPP fans on here. I'm open to the idea of opening a public channel, so you could follow me on that as a forum-like style. My server of choice would likely be a German server.😀You would be receiving my articles as njump.me style or website-like. GrapeneOS users, you can download Cheogram app from the F-Driod store for free to access. Apple and Andriod users are subjected to pay to download this app, an alternative is ntalk or conversations. If it interests the community, just FYI. Please comment or DM.

👉If you enjoyed this content, please consider reposting/sharing as my content is easily drowned by notes on your feed. You could also join my community under Children_Zone where I post my content.

An alternative is by following #onigirl Just FYI this feature is currently a little buggy.

Follow as I search for tools and awesome devs to help you dear user live a decentralized life as I explore the realm of Nostr.

Thank you Fren

@ 3c984938:2ec11289

Hello (N)osytrs!

Yes! I'm calling you an (N)oystr!

Why is that? Because you shine, and I'm not just saying that to get more SATs. Ordinary Oysters and mussels can produce these beauties! Nothing seriously unique about them, however, with a little time and love each oyster is capable of creating something truly beautiful. I like believing so, at least, given the fact that you're even reading this article; makes you an (N)oystr! This isn't published this on X (formerly known as Twitter), Facebook, Discord, Telegram, or Instagram, which makes you the rare breed! A pearl indeed! I do have access to those platforms, but why create content on a terrible platform knowing I too could be shut down! Unfortunately, many people still use these platforms. This forces individuals to give up their privacy every day. Meta is leading the charge by forcing users to provide a photo ID for verification in order to use their crappy, obsolete site. If that was not bad enough, imagine if you're having a type of disagreement or opinion. Then, Bigtech can easily deplatform you. Umm. So no open debate? Just instantly shut-off users. Whatever, happened to right to a fair trial? Nope, just burning you at the stake as if you're a witch or warlock!

How heinous are the perpetrators and financiers of this? Well, that's opening another can of worms for you.

Imagine your voice being taken away, like the little mermaid. Ariel was lucky to have a prince, but the majority of us? The likelihood that I would be carried away by the current of the sea during a sunset with a prince on a sailboat is zero. And I live on an island, so I'm just missing the prince, sailboat(though I know where I could go to steal one), and red hair. Oh my gosh, now I feel sad.

I do not have the prince, Bob is better! I do not have mermaid fins, or a shell bra. Use coconut shells, it offers more support! But, I still have my voice and a killer sunset to die for!

All of that is possible thanks to the work of developers. These knights fight for Freedom Tech by utilizing FOSS, which help provides us with a vibrant ecosystem. Unfortunately, I recently learned that they are not all funded. Knights must eat, drink, and have a work space. This space is where they spend most of their sweat equity on an app or software that may and may not pan out. That brilliance is susceptible to fading, as these individuals are not seen but rather stay behind closed doors. What's worse, if these developers lose faith in their project and decide to join forces with Meta! 😖 Does WhatsApp ring a bell?

Without them, I probably wouldn't be able to create this long form article. Let's cheer them on like cheerleaders.. 👉Unfortunately, there's no cheerleader emoji so you'll just have to settle for a dancing lady, n guy. 💃🕺

Semisol said it beautifully, npub12262qa4uhw7u8gdwlgmntqtv7aye8vdcmvszkqwgs0zchel6mz7s6cgrkj

If we want freedom tech to succeed, the tools that make it possible need to be funded: relays like https://nostr.land, media hosts like https://nostr.build, clients like https://damus.io, etc.

With that thought, Onigirl is pleased to announce the launch of a new series. With a sole focus on free market devs/projects.

Knights of Nostr!

I'll happily brief you about their exciting project and how it benefits humanity! Let's Support these Magnificent projects, devs, relays, and builders! Our first runner up!

Oppa Fishcake :Lord of Media Hosting

npub137c5pd8gmhhe0njtsgwjgunc5xjr2vmzvglkgqs5sjeh972gqqxqjak37w

Oppa Fishcake with his noble steed!

Think of this as an introduction to learn and further your experience on Nostr! New developments and applications are constantly happening on Nostr. It's enough to make one's head spin. I may also cover FOSS projects(outside of Nostr) as they need some love as well! Plus, you can think of it as another tool to add to your decentralized life. I will not be doing how-to-Nostr guides. I personally feel there are plenty of great guides already available! Which I'm happy to add to curation collection via easily searchable on Yakihonne.

For email updates you can subscribe to my [[https://paragraph.xyz/@onigirl]]

If you like it, send me some 🧡💛💚 hearts💜💗💖 otherwise zap dat⚡⚡🍑🍑peach⚡⚡🍑 ~If not me, then at least to our dearest knight!

Thank you from the bottom of my heart for your time and support (N)oystr! Shine bright like a diamond! Share if you care! FOSS power!

Follow on your favorite Nostr Client for the best viewing experience!

[!NOTE]

I'm using Obsidian + Nostr Writer Plugin; a new way to publish Markdown directly to Nostr. I was a little nervous using this because I was used doing them in RStudio; R Markdown.
Since this is my first article, I sent it to my account as a draft to test it. It's pretty neat.

@ 6871d8df:4a9396c1

In an era where data seems to be as valuable as currency, the prevailing trend in AI starkly contrasts with the concept of personal data ownership. The explosion of AI and the ensuing race have made it easy to overlook where the data is coming from. The current model, dominated by big tech players, involves collecting vast amounts of user data and selling it to AI companies for training LLMs. Reddit recently penned a 60 million dollar deal, Google guards and mines Youtube, and more are going this direction. But is that their data to sell? Yes, it's on their platforms, but without the users to generate it, what would they monetize? To me, this practice raises significant ethical questions, as it assumes that user data is a commodity that companies can exploit at will.

The heart of the issue lies in the ownership of data. Why, in today's digital age, do we not retain ownership of our data? Why can't our data follow us, under our control, to wherever we want to go? These questions echo the broader sentiment that while some in the tech industry — such as the blockchain-first crypto bros — recognize the importance of data ownership, their "blockchain for everything solutions," to me, fall significantly short in execution.

Reddit further complicates this with its current move to IPO, which, on the heels of the large data deal, might reinforce the mistaken belief that user-generated data is a corporate asset. Others, no doubt, will follow suit. This underscores the urgent need for a paradigm shift towards recognizing and respecting user data as personal property.

In my perfect world, the digital landscape would undergo a revolutionary transformation centered around the empowerment and sovereignty of individual data ownership. Platforms like Twitter, Reddit, Yelp, YouTube, and Stack Overflow, integral to our digital lives, would operate on a fundamentally different premise: user-owned data.

In this envisioned future, data ownership would not just be a concept but a practice, with public and private keys ensuring the authenticity and privacy of individual identities. This model would eliminate the private data silos that currently dominate, where companies profit from selling user data without consent. Instead, data would traverse a decentralized protocol akin to the internet, prioritizing user control and transparency.

The cornerstone of this world would be a meritocratic digital ecosystem. Success for companies would hinge on their ability to leverage user-owned data to deliver unparalleled value rather than their capacity to gatekeep and monetize information. If a company breaks my trust, I can move to a competitor, and my data, connections, and followers will come with me. This shift would herald an era where consent, privacy, and utility define the digital experience, ensuring that the benefits of technology are equitably distributed and aligned with the users' interests and rights.

The conversation needs to shift fundamentally. We must challenge this trajectory and advocate for a future where data ownership and privacy are not just ideals but realities. If we continue on our current path without prioritizing individual data rights, the future of digital privacy and autonomy is bleak. Big tech's dominance allows them to treat user data as a commodity, potentially selling and exploiting it without consent. This imbalance has already led to users being cut off from their digital identities and connections when platforms terminate accounts, underscoring the need for a digital ecosystem that empowers user control over data. Without changing direction, we risk a future where our content — and our freedoms by consequence — are controlled by a few powerful entities, threatening our rights and the democratic essence of the digital realm. We must advocate for a shift towards data ownership by individuals to preserve our digital freedoms and democracy.

@ e97aaffa:2ebd765d

Último dia do ano, momento para tirar o pó da bola de cristal, para fazer reflexões, previsões e desejos para o próximo ano e seguintes.

Ano após ano, o Bitcoin evoluiu, foi ultrapassando etapas, tornou-se cada vez mais mainstream. Está cada vez mais difícil fazer previsões sobre o Bitcoin, já faltam poucas barreiras a serem ultrapassadas e as que faltam são altamente complexas ou tem um impacto profundo no sistema financeiro ou na sociedade. Estas alterações profundas tem que ser realizadas lentamente, porque uma alteração rápida poderia resultar em consequências terríveis, poderia provocar um retrocesso.

Código do Bitcoin

No final de 2025, possivelmente vamos ter um fork, as discussões sobre os covenants já estão avançadas, vão acelerar ainda mais. Já existe um consenso relativamente alto, a favor dos covenants, só falta decidir que modelo será escolhido. Penso que até ao final do ano será tudo decidido.

Depois dos covenants, o próximo foco será para a criptografia post-quantum, que será o maior desafio que o Bitcoin enfrenta. Criar uma criptografia segura e que não coloque a descentralização em causa.

Espero muito de Ark, possivelmente a inovação do ano, gostaria de ver o Nostr a furar a bolha bitcoinheira e que o Cashu tivesse mais reconhecimento pelos bitcoiners.

Espero que surjam avanços significativos no BitVM2 e BitVMX.

Não sei o que esperar das layer 2 de Bitcoin, foram a maior desilusão de 2024. Surgiram com muita força, mas pouca coisa saiu do papel, foi uma mão cheia de nada. Uma parte dos projetos caiu na tentação da shitcoinagem, na criação de tokens, que tem um único objetivo, enriquecer os devs e os VCs.

Se querem ser levados a sério, têm que ser sérios.

“À mulher de César não basta ser honesta, deve parecer honesta”

Se querem ter o apoio dos bitcoiners, sigam o ethos do Bitcoin.

Neste ponto a atitude do pessoal da Ark é exemplar, em vez de andar a chorar no Twitter para mudar o código do Bitcoin, eles colocaram as mãos na massa e criaram o protocolo. É claro que agora está meio “coxo”, funciona com uma multisig ou com os covenants na Liquid. Mas eles estão a criar um produto, vão demonstrar ao mercado que o produto é bom e útil. Com a adoção, a comunidade vai perceber que o Ark necessita dos covenants para melhorar a interoperabilidade e a soberania.

É este o pensamento certo, que deveria ser seguido pelos restantes e futuros projetos. É seguir aquele pensamento do J.F. Kennedy:

“Não perguntem o que é que o vosso país pode fazer por vocês, perguntem o que é que vocês podem fazer pelo vosso país”

Ou seja, não fiquem à espera que o bitcoin mude, criem primeiro as inovações/tecnologia, ganhem adoção e depois demonstrem que a alteração do código camada base pode melhorar ainda mais o vosso projeto. A necessidade é que vai levar a atualização do código.

Reservas Estratégicas de Bitcoin

Bancos centrais

Com a eleição de Trump, emergiu a ideia de uma Reserva Estratégia de Bitcoin, tornou este conceito mainstream. Foi um pivot, a partir desse momento, foram enumerados os políticos de todo o mundo a falar sobre o assunto.

A Senadora Cynthia Lummis foi mais além e propôs um programa para adicionar 200 mil bitcoins à reserva ao ano, até 1 milhão de Bitcoin. Só que isto está a criar uma enorme expectativa na comunidade, só que pode resultar numa enorme desilusão. Porque no primeiro ano, o Trump em vez de comprar os 200 mil, pode apenas adicionar na reserva, os 198 mil que o Estado já tem em sua posse. Se isto acontecer, possivelmente vai resultar numa forte queda a curto prazo. Na minha opinião os bancos centrais deveriam seguir o exemplo de El Salvador, fazer um DCA diário.

Mais que comprar bitcoin, para mim, o mais importante é a criação da Reserva, é colocar o Bitcoin ao mesmo nível do ouro, o impacto para o resto do mundo será tremendo, a teoria dos jogos na sua plenitude. Muitos outros bancos centrais vão ter que comprar, para não ficarem atrás, além disso, vai transmitir uma mensagem à generalidade da população, que o Bitcoin é “afinal é algo seguro, com valor”.

Mas não foi Trump que iniciou esta teoria dos jogos, mas sim foi a primeira vítima dela. É o próprio Trump que o admite, que os EUA necessitam da reserva para não ficar atrás da China. Além disso, desde que os EUA utilizaram o dólar como uma arma, com sanção contra a Rússia, surgiram boatos de que a Rússia estaria a utilizar o Bitcoin para transações internacionais. Que foram confirmados recentemente, pelo próprio governo russo. Também há poucos dias, ainda antes deste reconhecimento público, Putin elogiou o Bitcoin, ao reconhecer que “Ninguém pode proibir o bitcoin”, defendendo como uma alternativa ao dólar. A narrativa está a mudar.

Já existem alguns países com Bitcoin, mas apenas dois o fizeram conscientemente (El Salvador e Butão), os restantes têm devido a apreensões. Hoje são poucos, mas 2025 será o início de uma corrida pelos bancos centrais. Esta corrida era algo previsível, o que eu não esperava é que acontecesse tão rápido.

Empresas

A criação de reservas estratégicas não vai ficar apenas pelos bancos centrais, também vai acelerar fortemente nas empresas em 2025.

Mas as empresas não vão seguir a estratégia do Saylor, vão comprar bitcoin sem alavancagem, utilizando apenas os tesouros das empresas, como uma proteção contra a inflação. Eu não sou grande admirador do Saylor, prefiro muito mais, uma estratégia conservadora, sem qualquer alavancagem. Penso que as empresas vão seguir a sugestão da BlackRock, que aconselha um alocações de 1% a 3%.

Penso que 2025, ainda não será o ano da entrada das 6 magníficas (excepto Tesla), será sobretudo empresas de pequena e média dimensão. As magníficas ainda tem uma cota muito elevada de shareholders com alguma idade, bastante conservadores, que têm dificuldade em compreender o Bitcoin, foi o que aconteceu recentemente com a Microsoft.

Também ainda não será em 2025, talvez 2026, a inclusão nativamente de wallet Bitcoin nos sistema da Apple Pay e da Google Pay. Seria um passo gigante para a adoção a nível mundial.

ETFs

Os ETFs para mim são uma incógnita, tenho demasiadas dúvidas, como será 2025. Este ano os inflows foram superiores a 500 mil bitcoins, o IBIT foi o lançamento de ETF mais bem sucedido da história. O sucesso dos ETFs, deve-se a 2 situações que nunca mais se vão repetir. O mercado esteve 10 anos à espera pela aprovação dos ETFs, a procura estava reprimida, isso foi bem notório nos primeiros meses, os inflows foram brutais.

Também se beneficiou por ser um mercado novo, não existia orderbook de vendas, não existia um mercado interno, praticamente era só inflows. Agora o mercado já estabilizou, a maioria das transações já são entre clientes dos próprios ETFs. Agora só uma pequena percentagem do volume das transações diárias vai resultar em inflows ou outflows.

Estes dois fenómenos nunca mais se vão repetir, eu não acredito que o número de inflows em BTC supere os número de 2024, em dólares vai superar, mas em btc não acredito que vá superar.

Mas em 2025 vão surgir uma infindável quantidade de novos produtos, derivativos, novos ETFs de cestos com outras criptos ou cestos com ativos tradicionais. O bitcoin será adicionado em produtos financeiros já existentes no mercado, as pessoas vão passar a deter bitcoin, sem o saberem.

Com o fim da operação ChokePoint 2.0, vai surgir uma nova onda de adoção e de produtos financeiros. Possivelmente vamos ver bancos tradicionais a disponibilizar produtos ou serviços de custódia aos seus clientes.

Eu adoraria ver o crescimento da adoção do bitcoin como moeda, só que a regulamentação não vai ajudar nesse processo.

Preço

Eu acredito que o topo deste ciclo será alcançado no primeiro semestre, posteriormente haverá uma correção. Mas desta vez, eu acredito que a correção será muito menor que as anteriores, inferior a 50%, esta é a minha expectativa. Espero estar certo.

Stablecoins de dólar

Agora saindo um pouco do universo do Bitcoin, acho importante destacar as stablecoins.

No último ciclo, eu tenho dividido o tempo, entre continuar a estudar o Bitcoin e estudar o sistema financeiro, as suas dinâmicas e o comportamento humano. Isto tem sido o meu foco de reflexão, imaginar a transformação que o mundo vai sofrer devido ao padrão Bitcoin. É uma ilusão acreditar que a transição de um padrão FIAT para um padrão Bitcoin vai ser rápida, vai existir um processo transitório que pode demorar décadas.

Com a re-entrada de Trump na Casa Branca, prometendo uma política altamente protecionista, vai provocar uma forte valorização do dólar, consequentemente as restantes moedas do mundo vão derreter. Provocando uma inflação generalizada, gerando uma corrida às stablecoins de dólar nos países com moedas mais fracas. Trump vai ter uma política altamente expansionista, vai exportar dólares para todo o mundo, para financiar a sua própria dívida. A desigualdade entre os pobres e ricos irá crescer fortemente, aumentando a possibilidade de conflitos e revoltas.

“Casa onde não há pão, todos ralham e ninguém tem razão”

Será mais lenha, para alimentar a fogueira, vai gravar os conflitos geopolíticos já existentes, ficando as sociedade ainda mais polarizadas.

Eu acredito que 2025, vai haver um forte crescimento na adoção das stablecoins de dólares, esse forte crescimento vai agravar o problema sistémico que são as stablecoins. Vai ser o início do fim das stablecoins, pelo menos, como nós conhecemos hoje em dia.

Problema sistémico

O sistema FIAT não nasceu de um dia para outro, foi algo que foi construído organicamente, ou seja, foi evoluindo ao longo dos anos, sempre que havia um problema/crise, eram criadas novas regras ou novas instituições para minimizar os problemas. Nestes quase 100 anos, desde os acordos de Bretton Woods, a evolução foram tantas, tornaram o sistema financeiro altamente complexo, burocrático e nada eficiente.

Na prática é um castelo de cartas construído sobre outro castelo de cartas e que por sua vez, foi construído sobre outro castelo de cartas.

As stablecoins são um problema sistémico, devido às suas reservas em dólares e o sistema financeiro não está preparado para manter isso seguro. Com o crescimento das reservas ao longo dos anos, foi se agravando o problema.

No início a Tether colocava as reservas em bancos comerciais, mas com o crescimento dos dólares sob gestão, criou um problema nos bancos comerciais, devido à reserva fracionária. Essas enormes reservas da Tether estavam a colocar em risco a própria estabilidade dos bancos.

A Tether acabou por mudar de estratégia, optou por outros ativos, preferencialmente por títulos do tesouro/obrigações dos EUA. Só que a Tether continua a crescer e não dá sinais de abrandamento, pelo contrário.

Até o próprio mundo cripto, menosprezava a gravidade do problema da Tether/stablecoins para o resto do sistema financeiro, porque o marketcap do cripto ainda é muito pequeno. É verdade que ainda é pequeno, mas a Tether não o é, está no top 20 dos maiores detentores de títulos do tesouros dos EUA e está ao nível dos maiores bancos centrais do mundo. Devido ao seu tamanho, está a preocupar os responsáveis/autoridades/reguladores dos EUA, pode colocar em causa a estabilidade do sistema financeiro global, que está assente nessas obrigações.

Os títulos do tesouro dos EUA são o colateral mais utilizado no mundo, tanto por bancos centrais, como por empresas, é a charneira da estabilidade do sistema financeiro. Os títulos do tesouro são um assunto muito sensível. Na recente crise no Japão, do carry trade, o Banco Central do Japão tentou minimizar a desvalorização do iene através da venda de títulos dos EUA. Esta operação, obrigou a uma viagem de emergência, da Secretaria do Tesouro dos EUA, Janet Yellen ao Japão, onde disponibilizou liquidez para parar a venda de títulos por parte do Banco Central do Japão. Essa forte venda estava desestabilizando o mercado.

Os principais detentores de títulos do tesouros são institucionais, bancos centrais, bancos comerciais, fundo de investimento e gestoras, tudo administrado por gestores altamente qualificados, racionais e que conhecem a complexidade do mercado de obrigações.

O mundo cripto é seu oposto, é naife com muita irracionalidade e uma forte pitada de loucura, na sua maioria nem faz a mínima ideia como funciona o sistema financeiro. Essa irracionalidade pode levar a uma “corrida bancária”, como aconteceu com o UST da Luna, que em poucas horas colapsou o projeto. Em termos de escala, a Luna ainda era muito pequena, por isso, o problema ficou circunscrito ao mundo cripto e a empresas ligadas diretamente ao cripto.

Só que a Tether é muito diferente, caso exista algum FUD, que obrigue a Tether a desfazer-se de vários biliões ou dezenas de biliões de dólares em títulos num curto espaço de tempo, poderia provocar consequências terríveis em todo o sistema financeiro. A Tether é grande demais, é já um problema sistémico, que vai agravar-se com o crescimento em 2025.

Não tenham dúvidas, se existir algum problema, o Tesouro dos EUA vai impedir a venda dos títulos que a Tether tem em sua posse, para salvar o sistema financeiro. O problema é, o que vai fazer a Tether, se ficar sem acesso às venda das reservas, como fará o redeem dos dólares?

Como o crescimento do Tether é inevitável, o Tesouro e o FED estão com um grande problema em mãos, o que fazer com o Tether?

Mas o problema é que o atual sistema financeiro é como um curto cobertor: Quanto tapas a cabeça, destapas os pés; Ou quando tapas os pés, destapas a cabeça. Ou seja, para resolver o problema da guarda reservas da Tether, vai criar novos problemas, em outros locais do sistema financeiro e assim sucessivamente.

Conta mestre

Uma possível solução seria dar uma conta mestre à Tether, dando o acesso direto a uma conta no FED, semelhante à que todos os bancos comerciais têm. Com isto, a Tether deixaria de necessitar os títulos do tesouro, depositando o dinheiro diretamente no banco central. Só que isto iria criar dois novos problemas, com o Custodia Bank e com o restante sistema bancário.

O Custodia Bank luta há vários anos contra o FED, nos tribunais pelo direito a ter licença bancária para um banco com full-reserves. O FED recusou sempre esse direito, com a justificativa que esse banco, colocaria em risco toda a estabilidade do sistema bancário existente, ou seja, todos os outros bancos poderiam colapsar. Perante a existência em simultâneo de bancos com reserva fracionária e com full-reserves, as pessoas e empresas iriam optar pelo mais seguro. Isso iria provocar uma corrida bancária, levando ao colapso de todos os bancos com reserva fracionária, porque no Custodia Bank, os fundos dos clientes estão 100% garantidos, para qualquer valor. Deixaria de ser necessário limites de fundos de Garantia de Depósitos.

Eu concordo com o FED nesse ponto, que os bancos com full-reserves são uma ameaça a existência dos restantes bancos. O que eu discordo do FED, é a origem do problema, o problema não está nos bancos full-reserves, mas sim nos que têm reserva fracionária.

O FED ao conceder uma conta mestre ao Tether, abre um precedente, o Custodia Bank irá o aproveitar, reclamando pela igualdade de direitos nos tribunais e desta vez, possivelmente ganhará a sua licença.

Ainda há um segundo problema, com os restantes bancos comerciais. A Tether passaria a ter direitos similares aos bancos comerciais, mas os deveres seriam muito diferentes. Isto levaria os bancos comerciais aos tribunais para exigir igualdade de tratamento, é uma concorrência desleal. Isto é o bom dos tribunais dos EUA, são independentes e funcionam, mesmo contra o estado. Os bancos comerciais têm custos exorbitantes devido às políticas de compliance, como o KYC e AML. Como o governo não vai querer aliviar as regras, logo seria a Tether, a ser obrigada a fazer o compliance dos seus clientes.

A obrigação do KYC para ter stablecoins iriam provocar um terramoto no mundo cripto.

Assim, é pouco provável que seja a solução para a Tether.

FED

Só resta uma hipótese, ser o próprio FED a controlar e a gerir diretamente as stablecoins de dólar, nacionalizado ou absorvendo as existentes. Seria uma espécie de CBDC. Isto iria provocar um novo problema, um problema diplomático, porque as stablecoins estão a colocar em causa a soberania monetária dos outros países. Atualmente as stablecoins estão um pouco protegidas porque vivem num limbo jurídico, mas a partir do momento que estas são controladas pelo governo americano, tudo muda. Os países vão exigir às autoridades americanas medidas que limitem o uso nos seus respectivos países.

Não existe uma solução boa, o sistema FIAT é um castelo de cartas, qualquer carta que se mova, vai provocar um desmoronamento noutro local. As autoridades não poderão adiar mais o problema, terão que o resolver de vez, senão, qualquer dia será tarde demais. Se houver algum problema, vão colocar a responsabilidade no cripto e no Bitcoin. Mas a verdade, a culpa é inteiramente dos políticos, da sua incompetência em resolver os problemas a tempo.

Será algo para acompanhar futuramente, mas só para 2026, talvez…

É curioso, há uns anos pensava-se que o Bitcoin seria a maior ameaça ao sistema ao FIAT, mas afinal, a maior ameaça aos sistema FIAT é o próprio FIAT(stablecoins). A ironia do destino.

Isto é como uma corrida, o Bitcoin é aquele atleta que corre ao seu ritmo, umas vezes mais rápido, outras vezes mais lento, mas nunca pára. O FIAT é o atleta que dá tudo desde da partida, corre sempre em velocidade máxima. Só que a vida e o sistema financeiro não é uma prova de 100 metros, mas sim uma maratona.

Europa

2025 será um ano desafiante para todos europeus, sobretudo devido à entrada em vigor da regulamentação (MiCA). Vão começar a sentir na pele a regulamentação, vão agravar-se os problemas com os compliance, problemas para comprovar a origem de fundos e outras burocracias. Vai ser lindo.

O Travel Route passa a ser obrigatório, os europeus serão obrigados a fazer o KYC nas transações. A Travel Route é uma suposta lei para criar mais transparência, mas prática, é uma lei de controle, de monitorização e para limitar as liberdades individuais dos cidadãos.

O MiCA também está a colocar problemas nas stablecoins de Euro, a Tether para já preferiu ficar de fora da europa. O mais ridículo é que as novas regras obrigam os emissores a colocar 30% das reservas em bancos comerciais. Os burocratas europeus não compreendem que isto coloca em risco a estabilidade e a solvência dos próprios bancos, ficam propensos a corridas bancárias.

O MiCA vai obrigar a todas as exchanges a estar registadas em solo europeu, ficando vulnerável ao temperamento dos burocratas. Ainda não vai ser em 2025, mas a UE vai impor políticas de controle de capitais, é inevitável, as exchanges serão obrigadas a usar em exclusividade stablecoins de euro, as restantes stablecoins serão deslistadas.

Todas estas novas regras do MiCA, são extremamente restritas, não é para garantir mais segurança aos cidadãos europeus, mas sim para garantir mais controle sobre a população. A UE está cada vez mais perto da autocracia, do que da democracia. A minha única esperança no horizonte, é que o sucesso das políticas cripto nos EUA, vai obrigar a UE a recuar e a aligeirar as regras, a teoria dos jogos é implacável. Mas esse recuo, nunca acontecerá em 2025, vai ser um longo período conturbado.

Recessão

Os mercados estão todos em máximos históricos, isto não é sustentável por muito tempo, suspeito que no final de 2025 vai acontecer alguma correção nos mercados. A queda só não será maior, porque os bancos centrais vão imprimir dinheiro, muito dinheiro, como se não houvesse amanhã. Vão voltar a resolver os problemas com a injeção de liquidez na economia, é empurrar os problemas com a barriga, em de os resolver. Outra vez o efeito Cantillon.

Será um ano muito desafiante a nível político, onde o papel dos políticos será fundamental. A crise política na França e na Alemanha, coloca a UE órfã, sem um comandante ao leme do navio. 2025 estará condicionado pelas eleições na Alemanha, sobretudo no resultado do AfD, que podem colocar em causa a propriedade UE e o euro.

Possivelmente, só o fim da guerra poderia minimizar a crise, algo que é muito pouco provável acontecer.

Em Portugal, a economia parece que está mais ou menos equilibrada, mas começam a aparecer alguns sinais preocupantes. Os jogos de sorte e azar estão em máximos históricos, batendo o recorde de 2014, época da grande crise, não é um bom sinal, possivelmente já existe algum desespero no ar.

A Alemanha é o motor da Europa, quanto espirra, Portugal constipa-se. Além do problema da Alemanha, a Espanha também está à beira de uma crise, são os países que mais influenciam a economia portuguesa.

Se existir uma recessão mundial, terá um forte impacto no turismo, que é hoje em dia o principal motor de Portugal.

Brasil

Brasil é algo para acompanhar em 2025, sobretudo a nível macro e a nível político. Existe uma possibilidade de uma profunda crise no Brasil, sobretudo na sua moeda. O banco central já anda a queimar as reservas para minimizar a desvalorização do Real.

Sem mudanças profundas nas políticas fiscais, as reservas vão se esgotar. As políticas de controle de capitais são um cenário plausível, será interesse de acompanhar, como o governo irá proceder perante a existência do Bitcoin e stablecoins. No Brasil existe um forte adoção, será um bom case study, certamente irá repetir-se em outros países num futuro próximo.

Os próximos tempos não serão fáceis para os brasileiros, especialmente para os que não têm Bitcoin.

Blockchain

Em 2025, possivelmente vamos ver os primeiros passos da BlackRock para criar a primeira bolsa de valores, exclusivamente em blockchain. Eu acredito que a BlackRock vai criar uma própria blockchain, toda controlada por si, onde estarão os RWAs, para fazer concorrência às tradicionais bolsas de valores. Será algo interessante de acompanhar.

---

Estas são as minhas previsões, eu escrevi isto muito em cima do joelho, certamente esqueci-me de algumas coisas, se for importante acrescentarei nos comentários. A maioria das previsões só acontecerá após 2025, mas fica aqui a minha opinião.

Isto é apenas a minha opinião, Don’t Trust, Verify!

@ 141daddd:1df80a3f

When we talk about escaping the matrix, the phrase often conjures images of dramatic physical change—abandoning the city for a remote wilderness, building a self-sufficient life in a village, or retreating to the mountains to escape the noise of modernity. But this interpretation, while romantic, misses the essence of what it truly means to break free. Escaping the matrix is not about fleeing the material world. It is not about geography or lifestyle. It is, above all, a mental and spiritual transformation.

Even in the movie The Matrix, which serves as a powerful allegory for this concept, Morpheus tells Neo that the prison he lives in is not a physical one. It is a prison of the mind. This statement cuts to the core of the matter: the matrix we seek to escape is not an external construct but an internal one. It is the web of beliefs, fears, and limitations that bind us. The bars of this prison are forged from societal expectations, inherited ideologies, and the relentless pursuit of material validation. To escape the matrix, we must first break free from these mental chains.

The Real Battle: Within the Mind

The material world undoubtedly imposes certain limitations—laws, systems, and structures that shape our daily lives. And while it is possible to challenge and even overcome some of these external barriers, the greatest battle is fought within. The matrix is not something you can physically run from because it exists in your perception, in the way you interpret and interact with the world.

True freedom begins with elevating your consciousness. It is not about rejecting the material matrix but transcending it. You do not escape by leaving the system behind; you escape by rising above it. This shift in perspective allows you to see the matrix for what it is—a construct, a playground, a stage upon which life unfolds. When you reach this level of awareness, you are no longer a passive participant, a consumer of someone else’s design. Instead, you become a co-creator of your reality.

Living Above the Matrix

To live above the matrix is to observe it without being consumed by it. You recognize its rules and structures, but you are no longer bound by them. You begin to shape your life not according to the desires and expectations of others but according to your own higher purpose. This is not escapism; it is empowerment. You are still in the matrix, but you are no longer of it.

This shift transforms the matrix from a prison into a playground. You engage with it consciously, using it as a tool to create a more fulfilling life. You are no longer a pawn in someone else’s game but a player in your own. By breaking free from the mental constructs that once confined you, you reclaim your power and your agency.

The Path to Co-Creation

Escaping the matrix is not about rejecting the material world but about redefining your relationship with it. It is about moving from a state of consumption to one of creation. When you elevate your consciousness, you stop being a passive recipient of the matrix’s programming. Instead, you begin to actively participate in shaping it. You become a co-creator, weaving your own vision into the fabric of reality.

This process requires introspection, courage, and a willingness to let go of old paradigms. It is not an easy path, but it is a liberating one. By breaking free from the prison of the mind, you unlock the potential to live a life of purpose, creativity, and fulfillment.

The Choice is Yours

The matrix is not something to be feared or fled from. It is a challenge, an opportunity, a mirror reflecting your own inner state. To escape it is not to abandon the world but to transcend it. The question is not whether the matrix exists but whether you will allow it to define you. Will you remain a prisoner of its illusions, or will you rise above and become a co-creator of your reality?

The choice, as Morpheus would say, is yours.

@ fd78c37f:a0ec0833

Bitcoin, as a decentralized digital currency, is reshaping the global financial landscape, sparking innovation and transformation across various sectors. In South America, Bitcoin communities are emerging as crucial drivers of economic empowerment, financial inclusion, and local technological advancement. This issue will highlight 21 Bitcoin communities from South America, exploring their missions, growth trajectories, and recent developments. By examining these grassroots initiatives, we aim to show how Bitcoin is being leveraged to create sustainable economic ecosystems, foster social progress, and expand access to education and financial tools. Thank you, YakiHonne decentralized media client on Nostr to support people in owning their voice. #iOS #Android, for supporting the publication of the Bitcoin Community Newsletter. Most of the content has been reviewed and confirmed by the South American communities. If there are any omissions, please feel free to reach out to me.

1.Mi Primer Bitcoin nostr:npub17cyatz6z2dzcw6xehtcm9z45m76lde5smxdmyasvs00r4pqv863qrs4ml3 * Introduction My First Bitcoin is a Bitcoin education initiative rooted in the principles of independence, fairness, and community leadership. Originating in El Salvador, it aims to empower individuals and communities by providing open-source educational resources and fostering a decentralized network. Through a commitment to high-quality education, resistance to external influence, and the creation of a global collaborative network, it seeks to spread Bitcoin education to every corner of the world, offering a transparent and transformative model for reshaping traditional financial systems. * Latest Updates Recently, MyfirstBitcoin successfully hosted the fourth Bitcoin Educators Unconference, featuring guests such as nostr:npub1zfgx8v2g0faswd0ry2qn3ay4pvx4jr6q4fw9d0yqalpkyv9hhp0sjccnj5 nostr:npub1rhh9pkmf6l6z7298yg6fgp95rzkmx4j9uxpekn8j73p5k95ck7gsvce7vj attracting around 170 participants and receiving positive feedback. They also held the graduation ceremony in Ilopango, El Salvador, and continued to organize their regular monthly Bitcoin education meetups and Bitcoin game nights. Additionally, MyfirstBitcoin’s Bitcoin Educators Node Network welcomed four new projects from Canada, Nigeria, and the United States. In partnership with Bitcoin Boma, they are launching a free online Bitcoin education course for Malawi in January 2025, aimed at enhancing local Bitcoin knowledge.

2.Bitcoin Beach

• Introduction Bitcoin Beach is a groundbreaking initiative in El Salvador aimed at fostering sustainable local economic development through Bitcoin. The project provides financial services to the community, particularly for those without access to traditional banking. By using Bitcoin for payments, residents can cover everyday expenses such as utility bills, medical costs, and food. Bitcoin Beach leverages the Lightning Network and community collaboration to promote the adoption of Bitcoin both within El Salvador and globally.
• Latest Updates Recently, Bitcoin Beach attended the conference at Bitcoin Lake, where they hosted the Bitcoin Beach Meetup and Bitcoin Beach Festival to support local businesses with Bitcoin. They also invited notable figures such as nostr:npub1q0al05h2uvtj0fp8ww7etl0pdjnkum638ynz9tmku3e522fyvlmqjq04mt Hermann Buhr-Vivier, nostr:npub164xhe3pgcqaj70ls7ls5e4hwlnvl4ttuu8wns99jmwp5z6lwhutsa27wle as podcast guests. The discussions covered a range of impactful topics, including how Bitcoin mining can truly light up rural Africa, how to use Bitcoin to transform small towns in South Africa, and integrating Bitcoin into state-level policies across the United States, among other key areas.

3.Praia Bitcoin Brazil nostr:npub1m3tu3l6y59g2tmackq23v5vgn59u7hu66gxg8xajghz59tqm6xnqk2m888 * Introduction Praia Bitcoin Brazil, located in Jericoacoara, Brazil, is dedicated to creating the country's first Bitcoin circular economy, empowering local residents with financial inclusion. Founded by Fernando Motolese, the project promotes Bitcoin adoption through education, technology, and community-driven initiatives. It has integrated over 40 local businesses into the Bitcoin ecosystem and raised more than 12 BTC through Bitcoin-only crowdfunding. Praia Bitcoin offers self-sovereign financial services and runs programs like the "Bitcoin Smiles" initiative and educational support for children. * Latest Updates Recently, Praia Bitcoin Brazil launched several innovative projects, including the first stage lighting course and free acoustic guitar course funded entirely through Bitcoin crowdfunding. Additionally, Praia Bitcoin successfully hosted the Praia Bitcoin Conference 2024, attracting 10 volunteers, 100 local residents, and 10 new merchants. The conference also sponsored the first music performance paid in Bitcoin and introduced three local courses, all funded via Bitcoin crowdfunding. These initiatives highlight Praia Bitcoin's ongoing efforts to drive Bitcoin adoption and foster local community development.

4.Bitcoin Lake / Lago Bitcoin Guatemala nostr:npub1a4excy7uf9z3mcafvm9cwdr549dl5lpazuvpr2nc550vf27n5a4scqq5k2 * Introduction Bitcoin Lake aims to create a circular economy powered by Bitcoin, providing a novel and accessible solution for unbanked as well as banked merchants in Guatemala. * Latest Updates The Bitcoin Lake community has been actively preparing and promoting a series of innovative initiatives. On November 30 and December 1, Bitcoin Lake successfully hosted its 2024 conference, inviting industry experts such as Ronny Avendaño, co-founder and CEO of the Bitcoin hardware store, and prominent Bitcoin advocate Roman Martínez (chimbera). During the conference, the community also organized creative activities like the coffee workshop and “Be Captain of the Bitcoin Boat”， offering participants an opportunity to dive deeper into Bitcoin and the local economy. Additionally, through partnerships with local merchants, Bitcoin Lake is actively advancing the development of the Bitcoin economy, fostering economic growth and financial inclusion in the community.

5.Bitcoin jungle nostr:npub14f26g7dddy6dpltc70da3pg4e5w2p4apzzqjuugnsr2ema6e3y6s2xv7lu * Introduction Bitcoin Jungle is an open-source community project built on the Bitcoin Lightning Network with the goal of creating a circular Bitcoin economy. The project provides education, resources, and technology to both individuals and businesses. Starting from the Golden Triangle area in Costa Rica (Dominical, Uvita, Ojochal, Platanillo, Tinamaste), it is developing a shining example of what a Bitcoin community can represent. * Latest Updates Recently, the Bitcoin Jungle community has been actively promoting the adoption and use of Bitcoin in Costa Rica, participating in various projects and events. Community members attended the Adopting Bitcoin conference in El Salvador, further advancing global Bitcoin adoption. At the same time, they have been actively supporting children's charity projects and Bitcoin diploma courses, continuously driving Bitcoin education, social responsibility, and community development.

6.Bitcoin Berlín sv * Introduction Bitcoin Berlín sv aimed at creating a financially sovereign town in Berlín, El Salvador, through the implementation of a Bitcoin circular economy. The project seeks to integrate Bitcoin into the local economy by educating residents and businesses about its benefits, promoting the adoption of Bitcoin-based payment systems, and empowering local entrepreneurs with financial education. It also focuses on environmental sustainability, encouraging the use of renewable energy and waste reduction. * Latest Updates Recently, the Bitcoin Berlín sv has been actively promoting the use of Bitcoin by sharing informative articles and supporting the graduation of podcast producer Joel through the BlinkBTC QR code platform, allowing contributions in sats. This initiative not only supports the growth and development of community members but also furthers Bitcoin’s adoption and usage within the community. Additionally, on November 23rd, the community successfully hosted a cultural festival celebrating the local heritage. During the event, all vendors accepted Bitcoin payments, showcasing its practical application in Berlín’s economy. The festival attracted numerous tourists and residents eager to experience Bitcoin payments, further advancing its integration into daily life.

7.Bitcoin embassy San Salvador * Introduction Bitcoin embassy San Salvador is more into promoting Nostr in the region. * Latest Updates Recently, the Bitcoin Embassy San Salvador has been actively promoting the use and adoption of Bitcoin within the community, organizing various events. One of the highlights was the Christmas Toy Drive x Cuarteto Salvación, where toys were purchased using Sats to bring holiday cheer to children in need. The event, held on December 1 at Cuscatlán Park, also featured a special Music Night, attracting a large audience. Additionally, the Embassy hosted an educational gathering for food vendors, aimed at promoting Bitcoin payment systems. During the event, vendors accept Bitcoin payments through tiankii_Tech and blinkbtc platforms, further encouraging local businesses to embrace and adopt Bitcoin payments.

8.ONG Bitcoin Argentina * Introduction ONG Bitcoin Argentina is dedicated to advancing the development and application of decentralized technologies, particularly in the fields of Bitcoin, cryptocurrencies, and blockchain. As a leading organization in this space, the community promotes user protection and the healthy growth of the crypto ecosystem through education, training, and public advocacy. Its mission is to help individuals, businesses, and decision-makers understand and leverage decentralized, transparent, and secure technologies to bring more opportunities and progress to society. ONG Bitcoin Argentina has become a leading force in promoting decentralized technology in Argentina and Latin America. * Latest Updates Recently, ONG Bitcoin Argentina has been actively preparing for the “Moon Party | Despedimos el año ATH (A Todo Hodler)” celebration, set to take place on December 5, 2024. Bitcoin enthusiasts will gather to enjoy exciting activities, including a Lightning Network demonstration and the Fish Bowl Manizesto Bitcoiner art exhibition. In addition, the community has hosted and will host a series of conferences and workshops covering a range of topics, including local digital asset services, Bitcoin as a strategic reserve in the U.S., the reconversion of the Bitcoin and cryptocurrency economy and financial systems, the role of crypto economics in financial system reform, the impact of Bitcoin ETFs on markets, and Bitcoin's influence on global issues, fostering in-depth discussions and development within the crypto industry.

9.La bitcoineta * Introduction La Bitcoineta is an initiative launched by the Argentine community in 2018, designed to promote the adoption and understanding of Bitcoin through a unique and powerful tool: a van and a group of volunteers. This traveling educational project has visited hundreds of towns across Latin America, Africa, and Europe, reaching thousands of people and covering hundreds of thousands of kilometers with the aim of spreading its mission and activities.With its innovative and mobile approach, Bitcoineta has become a globally recognized educational project.

10.Motiv Peru * Introduction Motiv is a non-profit organization founded in 2020, focused on addressing systemic poverty through Bitcoin and innovative projects, aiming to provide better opportunities for survival and prosperity to underserved communities. Its founders, Rich Swisher and Vali Popescu, witnessed firsthand the tragic impact of poverty and lack of basic living conditions in a remote village in the Andes Mountains of Peru, where children were dying due to preventable causes. This inspired them to create Motiv, with the goal of empowering vulnerable populations. By leveraging global support and partnerships, Motiv uses Bitcoin to help local communities break free from poverty and improve their lives, striving to bring positive change and hope to those in need. * Latest Updates Recently, MOTIV Perú has made significant progress in promoting Bitcoin and the circular economy. The organization continues to transform communities across Peru through various initiatives. For example, in the Comas district of Lima, entrepreneurial women are paying for their classes with Bitcoin and learning how to make delicious desserts, further advancing the local circular economy. Additionally, MOTIV Perú held its first Bitcoin training in Carabayllo-Lima, helping Peruvians understand the nature of money and the advantages of Bitcoin. MOTIV is also assisting communities in areas like Tarapoto and Ancon, where locals are using Bitcoin for daily transactions, driving financial freedom and economic empowerment.

11.Montanha bitcoin * Introduction Building a circular economy in Sao thome, Brazil. * Latest Updates Recently, The community has had no recent updates. The latest event dates back to June 2024, highlighting a water contamination incident.

12.Amityage honduras * Introduction Amityage Honduras is the first Bitcoin education center in Honduras, located on Roatán Island in the Prosperá zone. The center's mission is to educate the local community about Bitcoin and spread this knowledge throughout Central America and the Caribbean. It is dedicated to helping businesses on the island adopt Bitcoin as a payment method, teaching children financial literacy, and empowering individuals to achieve financial sovereignty through Bitcoin. The center aims to empower the local community through education and innovation, fostering economic independence and sustainable development. * Latest Updates Recently, Amityage Honduras is actively promoting Bitcoin education by participating in various international Bitcoin events and organizing local courses to help more people understand Bitcoin. Community members took part in significant events such as AdoptingBTC 2024 and BitcoinUnconference, and hosted workshops around the theme of “How to Enter the World of Bitcoin Education.” In Haidmühle, Germany, AmityAge completed a four-day Bitcoin Educators Academy, where the curriculum included topics like using simple analogies to explain Bitcoin and public speaking exercises. Additionally, the community hosted Bitcoin education courses on Roatán Island and provided a free Bitcoin event for beginners at the Crawfish Rock community, further spreading Bitcoin knowledge.

13.Lima - Orange Pill Perú nostr:npub1fw8m5g6nfywmsgqjc66j47jax7jrv8lq46zf7grydjqppc54a8eql47qrx * Introduction Orange Pill Peru is a community-driven initiative dedicated to empowering Peruvians through Bitcoin education. With a focus on transforming the financial landscape, Orange Pill Peru provides resources for individuals to learn about Bitcoin, connect with like-minded enthusiasts, and grow their knowledge through various events and workshops. The community serves as a hub for both beginners and professionals, offering a supportive environment to explore the fundamentals of Bitcoin, its history, and its potential to shape the future of finance. * Latest Updates Recently, there have been no major updates. They actively engage in Bitcoin education and industry updates by sharing and reposting Bitcoin-related content. They support MOTIV Perú's financial freedom education project in the Ancon community in Lima, emphasizing the empowerment of women through Bitcoin. Additionally, the community has shared information about the upcoming Bitcoin Medellin Conference scheduled for January 2025.

14.La Antigua Bitcoin * Introduction La Antigua Bitcoin is a community-based initiative in La Antigua Guatemala, focusing on promoting Bitcoin adoption in local businesses. The community works to create awareness and facilitate the use of Bitcoin as a payment method in various establishments throughout the city. By encouraging merchants to accept Bitcoin, La Antigua Bitcoin aims to integrate cryptocurrency into the everyday economy, driving financial innovation and expanding access to decentralized financial systems within the region. * Latest Updates Recently, the Antigua Bitcoin community has had few updates, with a focus on organizing its first meetup in collaboration with “Run with Bitcoin” on November 24, 2023. The event garnered significant attention within the community, featuring interactions with a special guest. The aim of the event was to further promote Bitcoin adoption in Antigua, Guatemala, and encourage exchange and collaboration between Bitcoin enthusiasts and the local community.

15.Horizonte Bitcoin nostr:npub1wl8u4wfqsdz5m9ey0vvzh4y05mcpk2lm2xhhpw3uzs3878c2mw9sr2ksxk * Introduction Project that aims to contribute to the Bitcoinization of the economy and encourage Entrepreneurship and Decentralization. * Latest Updates Recently, The community has had no recent updates. The latest event dates back to Oct 2024, which shared a message encouraging women to learn more about Bitcoin and connect with others in the field, highlighted a meetup, Satoshe's Lounge, for women, providing a space to learn, discuss, and share knowledge about Bitcoin.

16.Escuelita Bitcoin nostr:npub1awggmqvlw8pa0kp9qq5law8zsvp2a8suztk0357j7e0nt746suwspt7lwx * Introduction Educational Project for Little School. * Latest Updates Recently, the Escuelita Bitcoin team has grown to five members and is actively advancing Bitcoin education and community development. Team members have hosted several workshops in Paraguay and Mexico, spreading Bitcoin knowledge within local communities and encouraging merchants to accept Bitcoin payments, particularly in Ciudad del Este, Paraguay. The team is raising funds through platforms like Geyser. fund and Kuno.anne.media to support the expansion of their educational initiatives and help locals better understand and use Bitcoin. Escuelita Bitcoin also emphasizes privacy education, promoting the use of tools like CakeWallet and Monero. Through collaborations with other organizations and individuals, the team is extending the reach of Bitcoin education, fostering the adoption of Bitcoin in Latin America and emerging markets.

17.Bitcoin é aqui! Rolante/Riozinho-RS-BRASIL nostr:npub168dqt5c8ue3uj8ynlk0lhwalnp7uy39lvzf9tm09wy3htxwmw7qq5nerj4 * Introduction Bitcoin é Aqui! Rolante is located in Rolante, Brazil, and is dedicated to creating a lifestyle and tourism destination where 40% of businesses now accept Bitcoin as a payment method, showcasing the community's success in integrating Bitcoin into the local economy. Residents and visitors can use it to pay for all services, including accommodation, tours, local goods, medical services, and even construction and solar energy equipment. This reflects the practical application and convenience of its use in everyday life, aiming to create a digitally-driven environment powered by Bitcoin. * Latest Updates Recently, the Bitcoin é Aqui! Rolante has been actively promoting the adoption and use of Bitcoin in Brazil and beyond. The community has organized several educational events aimed at spreading basic Bitcoin knowledge and its practical applications in daily life, particularly through online videos and lectures. These efforts help people understand how Bitcoin plays a crucial role in the global financial system. The community has also been actively involved in promoting Bitcoin payments, supporting their adoption by local businesses and in the tourism industry.

18.Bitcoin Forte * Introduction Bitcoin Forte is a voluntary initiative aimed at introducing Bitcoin as a currency to Praia do Forte in Bahia, Brazil. The project provides valuable information about Bitcoin’s importance and encourages local merchants to adopt it as a payment method. By highlighting Bitcoin's international use, simplicity, and security, Bitcoin Forte aims to facilitate its adoption among both tourists and businesses.The community promotes Bitcoin as a stable and controlled currency, helping to avoid systemic price inflation. Bitcoin Forte simplifies the process for businesses by offering tools such as QR codes and the “Satoshi POS Wallet” app, which connects to a merchant’s primary wallet for seamless transactions. * Latest Updates Recently, the community has had no recent updates. The latest event dates back to July 2024, introducing Airbtc, a platform similar to Airbnb, but it only accepts Bitcoin as payment.

19.Bitcoin Paraguay * Introduction Bitcoin Paraguay is a community dedicated to connecting individuals in Paraguay who are interested in Bitcoin, promoting its adoption, and fostering the development of local circular economies. The community’s mission is to increase Bitcoin adoption by collaborating with local businesses and nonprofit organizations, helping to create a more sustainable local economy. Through regular events, talks, and resource sharing, Bitcoin Paraguay provides education and support to its members while actively exploring Bitcoin's application across various sectors in Paraguay. * Latest Updates Recently, the Bitcoin Paraguay community has made significant progress in promoting Bitcoin adoption. On November 5, they successfully hosted the fifth Bitcoin meetup in Asunción, attracting 110 attendees. The event included two Spanish-language presentations and a Lightning Network onboarding training session, with food and drinks available for purchase using Bitcoin. The event was made possible with strong support from sponsors Blink Wallet and Hacking Lives. On November 13, Josef Tetek visited Bitcoin Paraguay to help promote the adoption of Vexl in the country. The community also shared their progress through articles, with Jake, a community member, publishing an article in the Asunción Times on how Bitcoin Paraguay is improving people's lives.

20.Bitcoin Amantikir * Introduction They are starting the first community in the Serra da Mantiqueira to use and extol people about the bitcoin economy. * Latest Updates Recently, the Bitcoin Amantikir community has made significant progress in promoting Bitcoin as a payment method and fostering a circular economy in Santo Antônio do Pinhal. Various businesses, including a pet store, transportation service providers, a hotel, a fruit shop, and a tourist attraction, have started accepting Bitcoin payments. Additionally, the community is organizing a Bitcoin financial education course on December 2nd at Munay Pousada, aimed at helping young people aged 14-18 acquire essential financial knowledge and understand the importance of Bitcoin.

21.La Crypta nostr:npub1rujdpkd8mwezrvpqd2rx2zphfaztqrtsfg6w3vdnljdghs2q8qrqtt9u68 * Introduction La Crypta is an open-source community dedicated to advancing the adoption of the Nostr protocol and Bitcoin through developer-friendly tools and resources. By providing an integrated open-source stack, La Crypta empowers developers to sync with multiple relays, showcase profiles with badges, and facilitate seamless messaging, making it easier to build and utilize decentralized social platforms. Events like hackathons further enhance collaboration and attract new members, fostering innovation in decentralized social media. * Latest Updates LaWallet, their open-source wallet, integrates Bitcoin, Lightning, and Nostr to provide a seamless learning experience. With over 8,000 NFC cards distributed across conferences in regions like Argentina, Brazil, and Spain, LaWallet enables easy adoption while prioritizing user privacy. The wallet’s functionality is now supported by Alby’s official browser extension, further boosting accessibility.

@ fd208ee8:0fd927c1

I just read this, and found it enlightening.

Jung... notes that intelligence can be seen as problem solving at an everyday level..., whereas creativity may represent problem solving for less common issues

Other studies have used metaphor creation as a creativity measure instead of divergent thinking and a spectrum of CHC components instead of just g and have found much higher relationships between creativity and intelligence than past studies

https://www.mdpi.com/2079-3200/3/3/59

I'm unusually intelligent (Who isn't?), but I'm much more creative, than intelligent, and I think that confuses people. The ability to apply intelligence, to solve completely novel problems, on the fly, is something IQ tests don't even claim to measure. They just claim a correlation.

Creativity requires taking wild, mental leaps out into nothingness; simply trusting that your brain will land you safely. And this is why I've been at the forefront of massive innovation, over and over, but never got rich off of it.

I'm a starving autist.

Zaps are the first time I've ever made money directly, for solving novel problems. Companies don't do this because there is a span of time between providing a solution and the solution being implemented, and the person building the implementation (or their boss) receives all the credit for the existence of the solution. At best, you can hope to get pawned off with a small bonus.

Nobody can remember who came up with the solution, originally, and that person might not even be there, anymore, and probably never filed a patent, and may have no idea that their idea has even been built. They just run across it, later, in a tech magazine or museum, and say, "Well, will you look at that! Someone actually went and built it! Isn't that nice!"

Universities at least had the idea of cementing novel solutions in academic papers, but that: 1) only works if you're an academic, and at a university, 2) is an incredibly slow process, not appropriate for a truly innovative field, 3) leads to manifestations of perverse incentives and biased research frameworks, coming from 'publish or perish' policies.

But I think long-form notes and zaps solve for this problem. #Alexandria, especially, is being built to cater to this long-suffering class of chronic underachievers. It leaves a written, public, time-stamped record of Clever Ideas We Have Had.

Because they are clever, the ideas. And we have had them.

@ 8ce092d8:950c24ad

Overview

1. Introduction
2. Model Types
3. Training (Data Collection and Config Settings)
4. Probability Viewing: AI Inspector
5. Match
6. Cheat Sheet

I. Introduction

AI Arena is the first game that combines human and artificial intelligence collaboration.

AI learns your skills through "imitation learning."

Official Resources

1. Official Documentation (Must Read): Everything You Need to Know About AI Arena

Watch the 2-minute video in the documentation to quickly understand the basic flow of the game. 2. Official Play-2-Airdrop competition FAQ Site https://aiarena.notion.site/aiarena/Gateway-to-the-Arena-52145e990925499d95f2fadb18a24ab0 3. Official Discord (Must Join): https://discord.gg/aiarenaplaytest for the latest announcements or seeking help. The team will also have a exclusive channel there. 4. Official YouTube: https://www.youtube.com/@aiarena because the game has built-in tutorials, you can choose to watch videos.

What is this game about?

1. Although categorized as a platform fighting game, the core is a probability-based strategy game.
2. Warriors take actions based on probabilities on the AI Inspector dashboard, competing against opponents.
3. The game does not allow direct manual input of probabilities for each area but inputs information through data collection and establishes models by adjusting parameters.
4. Data collection emulates fighting games, but training can be completed using a Dummy As long as you can complete the in-game tutorial, you can master the game controls.

II. Model Types

Before training, there are three model types to choose from: Simple Model Type, Original Model Type, and Advanced Model Type.

It is recommended to try the Advanced Model Type after completing at least one complete training with the Simple Model Type and gaining some understanding of the game.

Simple Model Type

The Simple Model is akin to completing a form, and the training session is comparable to filling various sections of that form.

This model has 30 buckets. Each bucket can be seen as telling the warrior what action to take in a specific situation. There are 30 buckets, meaning 30 different scenarios. Within the same bucket, the probabilities for direction or action are the same.

For example: What should I do when I'm off-stage — refer to the "Recovery (you off-stage)" bucket.

For all buckets, refer to this official documentation:

https://docs.aiarena.io/arenadex/game-mechanics/tabular-model-v2

Video (no sound): The entire training process for all buckets

https://youtu.be/1rfRa3WjWEA

Game version 2024.1.10. The method of saving is outdated. Please refer to the game updates.

Advanced Model Type

The "Original Model Type" and "Advanced Model Type" are based on Machine Learning, which is commonly referred to as combining with AI.

The Original Model Type consists of only one bucket, representing the entire map. If you want the AI to learn different scenarios, you need to choose a "Focus Area" to let the warrior know where to focus. A single bucket means that a slight modification can have a widespread impact on the entire model. This is where the "Advanced Model Type" comes in.

The "Advanced Model Type" can be seen as a combination of the "Original Model Type" and the "Simple Model Type". The Advanced Model Type divides the map into 8 buckets. Each bucket can use many "Focus Area." For a detailed explanation of the 8 buckets and different Focus Areas, please refer to the tutorial page (accessible in the Advanced Model Type, after completing a training session, at the top left of the Advanced Config, click on "Tutorial").

III. Training (Data Collection and Config Settings)

Training Process:

1. Collect Data
2. Set Parameters, Train, and Save
3. Repeat Step 1 until the Model is Complete

Training the Simple Model Type is the easiest to start with; refer to the video above for a detailed process.

Training the Advanced Model Type offers more possibilities through the combination of "Focus Area" parameters, providing a higher upper limit. While the Original Model Type has great potential, it's harder to control. Therefore, this section focuses on the "Advanced Model Type."

1. What Kind of Data to Collect

1. High-Quality Data: Collect purposeful data. Garbage in, garbage out. Only collect the necessary data; don't collect randomly. It's recommended to use Dummy to collect data. However, don't pursue perfection; through parameter adjustments, AI has a certain level of fault tolerance.
2. Balanced Data: Balance your dataset. In simple terms, if you complete actions on the left side a certain number of times, also complete a similar number on the right side. While data imbalance can be addressed through parameter adjustments (see below), it's advised not to have this issue during data collection.
3. Moderate Amount: A single training will include many individual actions. Collect data for each action 1-10 times. Personally, it's recommended to collect data 2-3 times for a single action. If the effect of a single training is not clear, conduct a second (or even third) training with the same content, but with different parameter settings.

2. What to Collect (and Focus Area Selection)

Game actions mimic fighting games, consisting of 4 directions + 6 states (Idle, Jump, Attack, Grab, Special, Shield). Directions can be combined into ↗, ↘, etc. These directions and states can then be combined into different actions.

To make "Focus Area" effective, you need to collect data in training that matches these parameters. For example, for "Distance to Opponent", you need to collect data when close to the opponent and also when far away. * Note: While you can split into multiple training sessions, it's most effective to cover different situations within a single training.

Refer to the Simple Config, categorize the actions you want to collect, and based on the game scenario, classify them into two categories: "Movement" and "Combat."

Movement-Based Actions

Action Collection

When the warrior is offstage, regardless of where the opponent is, we require the warrior to return to the stage to prevent self-destruction.

This involves 3 aerial buckets: 5 (Near Blast Zone), 7 (Under Stage), and 8 (Side Of Stage).

* Note: The background comes from the Tutorial mentioned earlier. The arrows in the image indicate the direction of the action and are for reference only. * Note: Action collection should be clean; do not collect actions that involve leaving the stage.

Config Settings

In the Simple Config, you can directly choose "Movement" in it. However, for better customization, it's recommended to use the Advanced Config directly. - Intensity: The method for setting Intensity will be introduced separately later. - Buckets: As shown in the image, choose the bucket you are training. - Focus Area: Position-based parameters: - Your position (must) - Raycast Platform Distance, Raycast Platform Type (optional, generally choose these in Bucket 7)

Combat-Based Actions

The goal is to direct attacks quickly and effectively towards the opponent, which is the core of game strategy.

This involves 5 buckets: - 2 regular situations - In the air: 6 (Safe Zone) - On the ground: 4 (Opponent Active) - 3 special situations on the ground: - 1 Projectile Active - 2 Opponent Knockback - 3 Opponent Stunned

2 Regular Situations

In the in-game tutorial, we learned how to perform horizontal attacks. However, in the actual game, directions expand to 8 dimensions. Imagine having 8 relative positions available for launching hits against the opponent. Our task is to design what action to use for attack or defense at each relative position.

Focus Area - Basic (generally select all) - Angle to opponent
- Distance to opponent - Discrete Distance: Choosing this option helps better differentiate between closer and farther distances from the opponent. As shown in the image, red indicates a relatively close distance, and green indicates a relatively distant distance.

• Advanced: Other commonly used parameters
• Direction: different facings to opponent
• Your Elemental Gauge and Discrete Elementals: Considering the special's charge
• Opponent action: The warrior will react based on the opponent's different actions.
• Your action: Your previous action. Choose this if teaching combos.

3 Special Situations on the Ground

Projectile Active, Opponent Stunned, Opponent Knockback These three buckets can be referenced in the Simple Model Type video. The parameter settings approach is the same as Opponent Active/Safe Zone.

For Projectile Active, in addition to the parameters based on combat, to track the projectile, you also need to select "Raycast Projectile Distance" and "Raycast Projectile On Target."

3. Setting "Intensity"

Resources

• The "Tutorial" mentioned earlier explains these parameters.
• Official Config Document (2022.12.24): https://docs.google.com/document/d/1adXwvDHEnrVZ5bUClWQoBQ8ETrSSKgG5q48YrogaFJs/edit

---

TL;DR:

Epochs: - Adjust to fewer epochs if learning is insufficient, increase for more learning.

Batch Size: - Set to the minimum (16) if data is precise but unbalanced, or just want it to learn fast - Increase (e.g., 64) if data is slightly imprecise but balanced. - If both imprecise and unbalanced, consider retraining.

Learning Rate: - Maximize (0.01) for more learning but a risk of forgetting past knowledge. - Minimize for more accurate learning with less impact on previous knowledge.

Lambda: - Reduce for prioritizing learning new things.

Data Cleaning: - Enable "Remove Sparsity" unless you want AI to learn idleness. - For special cases, like teaching the warrior to use special moves when idle, refer to this tutorial video: https://discord.com/channels/1140682688651612291/1140683283626201098/1195467295913431111

Personal Experience: - Initial training with settings: 125 epochs, batch size 16, learning rate 0.01, lambda 0, data cleaning enabled. - Prioritize Multistream, sometimes use Oversampling. - Fine-tune subsequent training based on the mentioned theories.

IV. Probability Viewing: AI Inspector

The dashboard consists of "Direction + Action." Above the dashboard, you can see the "Next Action" – the action the warrior will take in its current state. The higher the probability, the more likely the warrior is to perform that action, indicating a quicker reaction. It's essential to note that when checking the Direction, the one with the highest visual representation may not have the highest numerical value. To determine the actual value, hover the mouse over the graphical representation, as shown below, where the highest direction is "Idle."

In the map, you can drag the warrior to view the probabilities of the warrior in different positions. Right-click on the warrior with the mouse to change the warrior's facing. The status bar below can change the warrior's state on the map.

When training the "Opponent Stunned, Opponent Knockback" bucket, you need to select the status below the opponent's status bar. If you are focusing on "Opponent action" in the Focus Zone, choose the action in the opponent's status bar. If you are focusing on "Your action" in the Focus Zone, choose the action in your own status bar. When training the "Projectile Active" Bucket, drag the projectile on the right side of the dashboard to check the status.

Next

The higher the probability, the faster the reaction. However, be cautious when the action probability reaches 100%. This may cause the warrior to be in a special case of "State Transition," resulting in unnecessary "Idle" states.

Explanation: In each state a fighter is in, there are different "possible transitions". For example, from falling state you cannot do low sweep because low sweep requires you to be on the ground. For the shield state, we do not allow you to directly transition to headbutt. So to do headbutt you have to first exit to another state and then do it from there (assuming that state allows you to do headbutt). This is the reason the fighter runs because "run" action is a valid state transition from shield. Source

V. Learn from Matches

After completing all the training, your model is preliminarily finished—congratulations! The warrior will step onto the arena alone and embark on its debut!

Next, we will learn about the strengths and weaknesses of the warrior from battles to continue refining the warrior's model.

In matches, besides appreciating the performance, pay attention to the following:

1. Movement, i.e., Off the Stage: Observe how the warrior gets eliminated. Is it due to issues in the action settings at a certain position, or is it a normal death caused by a high percentage? The former is what we need to avoid and optimize.

2. Combat: Analyze both sides' actions carefully. Observe which actions you and the opponent used in different states. Check which of your hits are less effective, and how does the opponent handle different actions, etc.

The approach to battle analysis is similar to the thought process in the "Training", helping to have a more comprehensive understanding of the warrior's performance and making targeted improvements.

VI. Cheat Sheet

Training 1. Click "Collect" to collect actions. 2. "Map - Data Limit" is more user-friendly. Most players perform initial training on the "Arena" map. 3. Switch between the warrior and the dummy: Tab key (keyboard) / Home key (controller). 4. Use "Collect" to make the opponent loop a set of actions. 5. Instantly move the warrior to a specific location: Click "Settings" - SPAWN - Choose the desired location on the map - On. Press the Enter key (keyboard) / Start key (controller) during training.

Inspector 1. Right-click on the fighter to change their direction. Drag the fighter and observe the changes in different positions and directions. 2. When satisfied with the training, click "Save." 3. In "Sparring" and "Simulation," use "Current Working Model." 4. If satisfied with a model, then click "compete." The model used in the rankings is the one marked as "competing."

Sparring / Ranked 1. Use the Throneroom map only for the top 2 or top 10 rankings. 2. There is a 30-second cooldown between matches. The replays are played for any match. Once the battle begins, you can see the winner on the leaderboard or by right-clicking the page - Inspect - Console. Also, if you encounter any errors or bugs, please send screenshots of the console to the Discord server.

Good luck! See you on the arena!

@ a58a2663:87bb2918

1. Concluir com minha filha, até o fim de 2025, a leitura da tradução latina de Ursinho Pooh, isto é, Winnie Ille Pu, de Alexander Lenard (1910-1972), poeta, ensaísta e tradutor húngaro que viveu no Brasil. Que texto curioso! Estranho estímulo que me chegou para voltar a estudar latim a sério.

1. Importar mais livros pela Thrift Books e menos pela Loja do Diabo. Seu acervo é excepcional e o frete é mais barato. Às vezes, em menos de duas semanas já estou com o livro em mãos (e olha que resido no Maranhão).

2. Concluir e publicar meu livro Vida após as Universidades. Escrita & criação em velhos & novos contextos de risco, desenvolvimento de algumas ideias que insinuei em Contra a vida intelectual, no que diz respeito ao encerramento de um ciclo histórico de modos de fazer investigação erudita.

3. Rematar o terceiro e último módulo de Convivium - Seminário Permanente de Humanidades, "A Alegoria do Mundo: o Mago, o Filólogo e o Colonizador", embrião de um longo ensaio sobre o "projeto humanista" e as vias de saída da modernidade oferecidas pelo pensamento latino-americano. (As inscrições seguem abertas. Caso queira inscrever-se pagando em bitcoin, me mande um e-mail: camoensiii57@protonmail.com).

4. Defender no primeiro semestre minha tese de doutoramento sobre João Francisco Lisboa (1812-1863), o maior prosador brasileiro de meados do século XIX. Compreender seu Jornal de Tímon implica rever concepções há muitos estabelecidas sobre a formação da literatura brasileira.

5. Escrever pelo menos cinco ensaios de apresentação do pensamento de Vilém Flusser e do que pretendo realizar em FLUSSER_project. A ideia é divulgá-los em inglês e especialmente aqui pelo Nostr.

6. Ler TUDO de Ignacio Gómez de Liaño.

7. Não ceder à tentação de discutir com imbecil.

@ 83279ad2:bd49240d

備忘録として書きます。意外と時間がかかりました。全体で1時間くらいかかるので気長にやりましょう。 仮想通貨取引所(販売所ではないので、玄人が使えばお得らしい）かつBitcoinの送金手数料が無料(全ての取引所が無料ではない、例えばbitbankは0.0006bitcoinかかる)なので送金元はGMOコインを使います。(注意:GMOコインは0.02ビットコイン以下は全額送金になってしまいます) 今回はカストディアルウォレットのWallet of Satoshiに送金します。 以下手順 1. GMOコインでbitcoinを買います。 2. GMOコインの左のタブから入出金 暗号資産を選択します。 3. 送付のタブを開いて、+新しい宛先を追加するを選択します。 4. 送付先:GMOコイン以外、送付先ウォレット：プライベートウォレット(MetaMaskなど)、受取人：ご本人さま　を選んで宛先情報の登録を選ぶと次の画面になります。
5. 宛先名称にwallet of satoshi(これはなんでも良いです わかりやすい名称にしましょう)　wallet of satoshiを開いて、受信→Bitcoin On-Chainからアドレスをコピーして、ビットコインアドレスに貼り付けます。
6. 登録するを押します。これで送金先の登録ができました。GMOコインの審査がありますがすぐ終わると思います。 7. ここから送金をします。送付のタブから登録したビットコインの宛先リストwallet of satoshiを選択し、送付数量と送付目的を選択して、2段階認証をします。
8. 実行を押せば終わりです。もうあなたがやることはありません。送金が終わるのを40分くらい眺めるだけです。
8. 取引履歴のタブから今の送金のステータスが見れます。
9. 15分くらい待つとステータスが受付に変わります。
10. 20分くらい待つとトランザクションIDが表示されます。


この時点からwallet of satoshiにも送金されていることが表示されます。(まだ完了はしていない)

11. ステータスが完了になったら送金終わりです。

wallet of satoshiにも反映されます。

---

お疲れ様でした！

@ 3bf0c63f:aefa459d

Drivechain

Understanding Drivechain requires a shift from the paradigm most bitcoiners are used to. It is not about "trustlessness" or "mathematical certainty", but game theory and incentives. (Well, Bitcoin in general is also that, but people prefer to ignore it and focus on some illusion of trustlessness provided by mathematics.)

Here we will describe the basic mechanism (simple) and incentives (complex) of "hashrate escrow" and how it enables a 2-way peg between the mainchain (Bitcoin) and various sidechains.

The full concept of "Drivechain" also involves blind merged mining (i.e., the sidechains mine themselves by publishing their block hashes to the mainchain without the miners having to run the sidechain software), but this is much easier to understand and can be accomplished either by the BIP-301 mechanism or by the Spacechains mechanism.

How does hashrate escrow work from the point of view of Bitcoin?

A new address type is created. Anything that goes in that is locked and can only be spent if all miners agree on the Withdrawal Transaction (WT^) that will spend it for 6 months. There is one of these special addresses for each sidechain.

To gather miners' agreement bitcoind keeps track of the "score" of all transactions that could possibly spend from that address. On every block mined, for each sidechain, the miner can use a portion of their coinbase to either increase the score of one WT^ by 1 while decreasing the score of all others by 1; or they can decrease the score of all WT^s by 1; or they can do nothing.

Once a transaction has gotten a score high enough, it is published and funds are effectively transferred from the sidechain to the withdrawing users.

If a timeout of 6 months passes and the score doesn't meet the threshold, that WT^ is discarded.

What does the above procedure mean?

It means that people can transfer coins from the mainchain to a sidechain by depositing to the special address. Then they can withdraw from the sidechain by making a special withdraw transaction in the sidechain.

The special transaction somehow freezes funds in the sidechain while a transaction that aggregates all withdrawals into a single mainchain WT^, which is then submitted to the mainchain miners so they can start voting on it and finally after some months it is published.

Now the crucial part: the validity of the WT^ is not verified by the Bitcoin mainchain rules, i.e., if Bob has requested a withdraw from the sidechain to his mainchain address, but someone publishes a wrong WT^ that instead takes Bob's funds and sends them to Alice's main address there is no way the mainchain will know that. What determines the "validity" of the WT^ is the miner vote score and only that. It is the job of miners to vote correctly -- and for that they may want to run the sidechain node in SPV mode so they can attest for the existence of a reference to the WT^ transaction in the sidechain blockchain (which then ensures it is ok) or do these checks by some other means.

What? 6 months to get my money back?

Yes. But no, in practice anyone who wants their money back will be able to use an atomic swap, submarine swap or other similar service to transfer funds from the sidechain to the mainchain and vice-versa. The long delayed withdraw costs would be incurred by few liquidity providers that would gain some small profit from it.

Why bother with this at all?

Drivechains solve many different problems:

It enables experimentation and new use cases for Bitcoin

Issued assets, fully private transactions, stateful blockchain contracts, turing-completeness, decentralized games, some "DeFi" aspects, prediction markets, futarchy, decentralized and yet meaningful human-readable names, big blocks with a ton of normal transactions on them, a chain optimized only for Lighting-style networks to be built on top of it.

These are some ideas that may have merit to them, but were never actually tried because they couldn't be tried with real Bitcoin or inferfacing with real bitcoins. They were either relegated to the shitcoin territory or to custodial solutions like Liquid or RSK that may have failed to gain network effect because of that.

It solves conflicts and infighting

Some people want fully private transactions in a UTXO model, others want "accounts" they can tie to their name and build reputation on top; some people want simple multisig solutions, others want complex code that reads a ton of variables; some people want to put all the transactions on a global chain in batches every 10 minutes, others want off-chain instant transactions backed by funds previously locked in channels; some want to spend, others want to just hold; some want to use blockchain technology to solve all the problems in the world, others just want to solve money.

With Drivechain-based sidechains all these groups can be happy simultaneously and don't fight. Meanwhile they will all be using the same money and contributing to each other's ecosystem even unwillingly, it's also easy and free for them to change their group affiliation later, which reduces cognitive dissonance.

It solves "scaling"

Multiple chains like the ones described above would certainly do a lot to accomodate many more transactions that the current Bitcoin chain can. One could have special Lightning Network chains, but even just big block chains or big-block-mimblewimble chains or whatnot could probably do a good job. Or even something less cool like 200 independent chains just like Bitcoin is today, no extra features (and you can call it "sharding"), just that would already multiply the current total capacity by 200.

Use your imagination.

It solves the blockchain security budget issue

The calculation is simple: you imagine what security budget is reasonable for each block in a world without block subsidy and divide that for the amount of bytes you can fit in a single block: that is the price to be paid in satoshis per byte. In reasonable estimative, the price necessary for every Bitcoin transaction goes to very large amounts, such that not only any day-to-day transaction has insanely prohibitive costs, but also Lightning channel opens and closes are impracticable.

So without a solution like Drivechain you'll be left with only one alternative: pushing Bitcoin usage to trusted services like Liquid and RSK or custodial Lightning wallets. With Drivechain, though, there could be thousands of transactions happening in sidechains and being all aggregated into a sidechain block that would then pay a very large fee to be published (via blind merged mining) to the mainchain. Bitcoin security guaranteed.

It keeps Bitcoin decentralized

Once we have sidechains to accomodate the normal transactions, the mainchain functionality can be reduced to be only a "hub" for the sidechains' comings and goings, and then the maximum block size for the mainchain can be reduced to, say, 100kb, which would make running a full node very very easy.

Can miners steal?

Yes. If a group of coordinated miners are able to secure the majority of the hashpower and keep their coordination for 6 months, they can publish a WT^ that takes the money from the sidechains and pays to themselves.

Will miners steal?

No, because the incentives are such that they won't.

Although it may look at first that stealing is an obvious strategy for miners as it is free money, there are many costs involved:

1. The cost of ceasing blind-merged mining returns -- as stealing will kill a sidechain, all the fees from it that miners would be expected to earn for the next years are gone;
2. The cost of Bitcoin price going down: If a steal is successful that will mean Drivechains are not safe, therefore Bitcoin is less useful, and miner credibility will also be hurt, which are likely to cause the Bitcoin price to go down, which in turn may kill the miners' businesses and savings;
3. The cost of coordination -- assuming miners are just normal businesses, they just want to do their work and get paid, but stealing from a Drivechain will require coordination with other miners to conduct an immoral act in a way that has many pitfalls and is likely to be broken over the months;
4. The cost of miners leaving your mining pool: when we talked about "miners" above we were actually talking about mining pools operators, so they must also consider the risk of miners migrating from their mining pool to others as they begin the process of stealing;
5. The cost of community goodwill -- when participating in a steal operation, a miner will suffer a ton of backlash from the community. Even if the attempt fails at the end, the fact that it was attempted will contribute to growing concerns over exaggerated miners power over the Bitcoin ecosystem, which may end up causing the community to agree on a hard-fork to change the mining algorithm in the future, or to do something to increase participation of more entities in the mining process (such as development or cheapment of new ASICs), which have a chance of decreasing the profits of current miners.

Another point to take in consideration is that one may be inclined to think a newly-created sidechain or a sidechain with relatively low usage may be more easily stolen from, since the blind merged mining returns from it (point 1 above) are going to be small -- but the fact is also that a sidechain with small usage will also have less money to be stolen from, and since the other costs besides 1 are less elastic at the end it will not be worth stealing from these too.

All of the above consideration are valid only if miners are stealing from good sidechains. If there is a sidechain that is doing things wrong, scamming people, not being used at all, or is full of bugs, for example, that will be perceived as a bad sidechain, and then miners can and will safely steal from it and kill it, which will be perceived as a good thing by everybody.

What do we do if miners steal?

Paul Sztorc has suggested in the past that a user-activated soft-fork could prevent miners from stealing, i.e., most Bitcoin users and nodes issue a rule similar to this one to invalidate the inclusion of a faulty WT^ and thus cause any miner that includes it in a block to be relegated to their own Bitcoin fork that other nodes won't accept.

This suggestion has made people think Drivechain is a sidechain solution backed by user-actived soft-forks for safety, which is very far from the truth. Drivechains must not and will not rely on this kind of soft-fork, although they are possible, as the coordination costs are too high and no one should ever expect these things to happen.

If even with all the incentives against them (see above) miners do still steal from a good sidechain that will mean the failure of the Drivechain experiment. It will very likely also mean the failure of the Bitcoin experiment too, as it will be proven that miners can coordinate to act maliciously over a prolonged period of time regardless of economic and social incentives, meaning they are probably in it just for attacking Bitcoin, backed by nation-states or something else, and therefore no Bitcoin transaction in the mainchain is to be expected to be safe ever again.

Why use this and not a full-blown trustless and open sidechain technology?

Because it is impossible.

If you ever heard someone saying "just use a sidechain", "do this in a sidechain" or anything like that, be aware that these people are either talking about "federated" sidechains (i.e., funds are kept in custody by a group of entities) or they are talking about Drivechain, or they are disillusioned and think it is possible to do sidechains in any other manner.

No, I mean a trustless 2-way peg with correctness of the withdrawals verified by the Bitcoin protocol!

That is not possible unless Bitcoin verifies all transactions that happen in all the sidechains, which would be akin to drastically increasing the blocksize and expanding the Bitcoin rules in tons of ways, i.e., a terrible idea that no one wants.

What about the Blockstream sidechains whitepaper?

Yes, that was a way to do it. The Drivechain hashrate escrow is a conceptually simpler way to achieve the same thing with improved incentives, less junk in the chain, more safety.

Isn't the hashrate escrow a very complex soft-fork?

Yes, but it is much simpler than SegWit. And, unlike SegWit, it doesn't force anything on users, i.e., it isn't a mandatory blocksize increase.

Why should we expect miners to care enough to participate in the voting mechanism?

Because it's in their own self-interest to do it, and it costs very little. Today over half of the miners mine RSK. It's not blind merged mining, it's a very convoluted process that requires them to run a RSK full node. For the Drivechain sidechains, an SPV node would be enough, or maybe just getting data from a block explorer API, so much much simpler.

What if I still don't like Drivechain even after reading this?

That is the entire point! You don't have to like it or use it as long as you're fine with other people using it. The hashrate escrow special addresses will not impact you at all, validation cost is minimal, and you get the benefit of people who want to use Drivechain migrating to their own sidechains and freeing up space for you in the mainchain. See also the point above about infighting.

See also

• Podcast episode with Ruben Somsen and Aaron van Wirdum explaining Drivechain
• Alternatives to Drivechain
• Drivechain comparison with Ethereum

@ c4b5369a:b812dbd6

Ecash systems built on top of bitcoin have seen increasing adoption over the last couple of years. They have become a polarising topic in the bitcoin community, due to their centralized and custodial nature. Like any system, ecash comes with a lot of pros and cons when compared to other systems, that are fercely debated in cyber- and meat-space.

I have been working on developing tools and software for the ecash implementation Cashu for about 2 years now. I have had countless discussions with various people from different backgrounds about the topic. OG bitcoiners, fiat bankers, friends and family, privacy enthusiast... . As you can imagine the flow and outcome of these discussions varied widely.

Usually, conversations with bitcoiners were the most interesting for me. Their opinions about ecash polarised the most, by far. (excluding the fiat bankers, but that's a story for another day). In this short peice, I want to share some insights from the discussions I had, and maybe clear up some misconceptions about ecash on bitcoin.

What is Ecash?

If you still don't know what ecash is, sorry, I won't go into much detail explaining it. I recommend reading the wikipedia article on Ecash , and then this article on the rise and fall of digicash, the first and maybe only ecash company that existed. This will bring you up to speed on ecash history up until bitcoin entered the scene. Ecash was pretty much dead from the day after digicash went bankrupt untill it recently saw it's revival in two different spheres:

One of these spheres is obviously the bitcoin sphere. Here, ecash got reintroduced with the two open source projects Fedimint and Cashu. In my opinion, the main reason for this revival is the following fact: Unlike an implementation of ecash in the fiat world, that would rely on the permissioned system to "allow" something like ecash to exist, bitcoin does not come with that limitation. The permissionless nature of bitcoin allows for these protocols to exist and interoperate with the existing bitcoin stack.

The second, and maybe lesser known sphere is the revival of ecash as a CBDC. Bitcoiners might get scared at the mentioning of that word. Trust me, I don't like it either. Nonetheless, privacy enthusiasts see the opportunity to steer the CBDC-ship in another direction, by using an underlying technology for them that would limit targeted discrimination by the centralized authorithy. Something that works like cash... but in cyberspace... Ecash. One such implementation is GNU Taler, another one is Project Tourbillon. Usually, these kind of implementations use a cuck-version of the OG ecash, where only payers are anonymous, but not payees.

Anyway, in this article we will focus on the implementation of ecash on bitcoin.

About self custody

Bitcoin as a whole is about sovereignty and liberation. If someone else controls your money, they control you. For the first time since we've stopped using gold, bitcoin allows us to fully take control back of our money. A money that doesn't corrode, a money which supply connot get inflated, and a money that cannot be easily seized. All of this is true for bitcoin. There is only one precondition: You have to hold and use it self custodially.

Using bitcoin self custodially

The problem comes in when using bitcoin in a self custodial fashion. For bitcoin to maintain the monetary properties mentioned above, it has to remain decentralized. This means it is hard to scale, which in turn means the use of bitcoin tends to become more costly as usage increases.

So even if we wish that everyone would use bitcoin self custodially all the time for everything, I fear it is mostly just a dream, at least for the forseable future. Even with trustless second layer protocols like the Lightning Network, we are running into scaling issues, since at the end of the day, they are bound to the same onchain fee realities as bare-bones bitcoin transactions.

For most of humanity, it is financially not viable to pay even 1$ transaction fees for every transaction. Second layer protocol may bring the cost down a bit, but have other requirements. For example in lightning, you have an online assumption, to make sure your channel peers aren't trying to cheat. You need to have inbound liquidity to receive payments. There are cost associated with opening or closing payment channels, or rebalancing liquidity.

Other upcoming second layer protocols like Ark may improve on some of these issues. It is definitely something to look forward to! But they will have their own trade-offs, most likely also cost related. The fact remains that all trustless protocols that use the bitcoin timechain for conflict resolution, will have to deal with this matter. This is the cost of trustlessness.

Soo... Don't self custody...?

NO! If you can, you should always use self custody. As much as possible!

Personally, I use all the tools mentioned above. And I recommend that if you can, you should too.

But the fact is, not everyone can. Many would love to take control over their financial freedom, but the threshold for them to use bitcoin in a sovereign fashion is simply to high. So they will either remain in fiat slavery land, or they will end up using "bitcoin" through a custodian like coinbase, binance, or whatever banking service they have access to.

I will also mention that for some usecases, enjoying the convenience of a custodian is just very attractive. Of course, this is only the case as long as the custodian plays by the book, and doesn't suddenly freeze-, or worse, run away with your deposits.

The right tool for the right job

I don't beleive that one way of using bitcoin is better than the other. It entirely depends on which problem you are trying to solve.

If the problem is storing or transfering wealth, then of course you would want to do that on chain.

If on the other hand, you want to send and receive frequent small to midsized payments, you might want to get setup with a lightning channel to an LSP. Depending on how deep you want to get involved, you may even set up some infrastructure and become part of the Lightning network.

If you want to receive digital tips that you can later claim into self custody after they reach a certain threshold, you might opt for a custodial solution.

If you require certain properties, like offline peer-to-peer transferability, or cash-like privacy, you might choose an ecash system.

It doesn't mean that if you use one, you cannot use the other. You should use whatever is useful for the current problem you are trying to solve, maybe even using multiple tools in conjuction, if that makes sense.

Ecash vs Onchain vs L2?

First of all, we have to understand that ecash is neither a replacement for self custody, nor is it a replacement for trustless second layer protocols. They are irreplaceable with something that is custodial in nature, due to the simple fact that if you lose control over your money, you have lost the control over your life.

So. No one beleives you should prioritize custodial solutions to secure your wealth. Self custody will always remain king in that regard. Custodial wallets should be thought off as a physical spending wallet you can walk around with, even through the dark alleyways where it might get robbed from you. Keep your cash in there for convenient spending, not worrying about fees, liquidity, data footprints, channel backups, etc. etc. etc... These benefits obviously come at the cost of trust, that the provider doesn't rug-pull your deposit.

I really like the user experience of custodial services. I would never put a lot of money into any one of them though, because I don't trust them. Just like I wouldn't walk around with $10000 in my physical wallet. The risk that it gets stolen is simply to great. At the same time, this risk doesn't mean I will get rid of my physical wallet. I think having a wallet with some cash in it is super useful. I will mittigate the risk by reducing the amount I carry inside that wallet. This is the same way I think about digital money I hold in custodial wallets, be it an ecash service or others.

All things considered, it is hard to argue that self custody comes even close to the UX a custodian can give you, due to the fact that they can take care of all the complexities (mentioned above) for you.

So then, why ecash?

We now know, that we are NOT comparing ecash with the sovereign bitcoin stack. We are comparing it instead to traditional custodial systems. This is the area ecash is trying to improve uppon. So if you've chosen that the best tool to solve a problem might be a custodial solution, only then should you start to consider using ecash.

It offers a more privacy preserving, less burdonsome and less censorable way of offering a custody solution.

It offers some neat properties like offline peer-to-peer transactions, programability, de-linkage from personally identifiable information, and more.

Here is an example, on how ecash could create a fairer environment for online consumers:

Online services love to offer subscriptions. But for the consumer, this is mostly a trap. As a consumer, I would rather pay for a service right now and be done with it. I don't want to sign up for a 10 year plan, give them my email address, my date of birth , create an account, etc...

One way of doing that, would be for the service provider to accept payments in ecash, instead of having an account and subscription model.

It would work like this:

1. The user creates ecash by paying into the service's mint. Hereby it is not required to use lightning or even bitcoin. It could be done with any other value transfer meduim the service provider accepts (cash, shitcoins, lottery tickets...).
2. You use the issued ecash, to retreive services. This could be anything from video streaming, to AI prompts.
3. Once you are done, you swap your remaining ecash back.

In a system like this, you wouldn't be tracked as a user, and the service provider wouldn't be burdoned with safeguarding your personal information. Just like a cash-for-goods transaction in a convenience store.

I beleive the search engine Kagi is building a system like that, according to this podcast. It has also be demoed by https://athenut.com/ how it would be implemented, using Cashu.

Here is another example, on how an event organizer can provide privacy preserving electronic payment rails for a conference or a festival, using ecash:

If you have been part of organizing a conference or an event, you might have experienced this problem. Onchain payments are too slow and costly. Lightning payments are too flaky.

Do merchants have to setup a lightning channel? Do they have to request inbound liquidity from an LSP? Do they have to splice into the channel once they run out of liquidity? In practice, these are the realities that merchants and event organizers are faced with when they try to set up payment rails for a conference.

Using ecash, it would look like this:

1. Event organizer will run a dedicated ecash mint for the event.
2. Visitors can swap into ecash when ariving at the entrance, using bitcoin, cash, or whatever medium the organizer accepts.
3. The visitor can spend the ecash freely at the merchants. He enjoys good privacy, like with cash. The online requirements are minimal, so it works well in a setting where connectivity is not great.
4. At the end of the event, visitors and merchants swap their ecash back into the preferred medium (cash, bitcoin...).

This would dreastically reduce the complexity and requirements for merchants, while improving the privacy of the visitors.

A bold experiment: Free banking in the digital age

Most bitcoiners will run out of the room screaming, if they hear the word bank. And fair enough, I don't like them either. I believe in the mantra "unbank the banked", after all. But the reason I do so, is because todays fiat/investment banks just suck. It's the same problem as with the internet platforms today. You, the "customer", is not realy the customer anymore, but the product. You get sold and squeezed, until you have nothing more to give.

I beleive with a sound money basis, these new kind of free banks could once again compete for customers by provididng the best money services they can, and not by who can scam his way to the money printer the best. Maybe this is just a pipe dream. But we all dream a little. Some dream about unlimited onchain transactions (I've had this dream before), and some dream about free banks in cyberspace. In my dream, these banks would use ecash to respect their users privacy.

Clearing up misconceptions and flawed assumptions about ecash on bitcoin

Not only, but especially when talking with bitcoiners there are a lot of assumptions regarding ecash on bitcoin. I want to take this opportunity to address some of those.

Ecash is an attack on self custody

As we've mentioned above, ecash is not meant to compete with self custody. It is meant to go where self custodial bitcoin cannot go. Be it due to on-chain limitations, or network/infrastructure requirements. Ecash is completely detached from bitcoin, and can never compete with the trustless properties that only bitcoin can offer.

Ecash mints will get rugged

100% correct. Every custodial solution, be it multisig or not, will suffer from this risk. It is part of the deal. Act accordingly. Plan for this risk when choosing to use a custodial system.

Working on ecash is a distraction from what really matters, since it is not self custodial

While it is true that improving self custodial bitcoin is one of the most important things our generation will have to solve, it doesn't mean that everything else becomes irrelevant. We see that today, in a lot of circumstances a fully sovereign setup is just not realistic. At which point most users will revert back to custodial solutions. Having technology in place for users that face these circumstances, to offer them at least some protection are worth the effort, in my opinion.

Ecash mints will retroactively introduce KYC

Yes it is true that ecash mints can do that. However, what would they learn? They would learn about the amount you were holding in the mint at that time, should you choose to withdraw. They would not be able to learn anything about your past transactions. And needless to say, at which point you should be one and done with this mint as a service provider, and move to someone that respects their users.

Ecash will be used to "steal" bitcoins self custodial user base

I would argue the oposite. Someone that has realized the power of self custody, would never give it up willingly. On the other hand, someone that got rugged by an ecash mint will forever become a self custody maximalist.

Closing thoughts...

I hope you enjoyed reading my take on ecash built on bitcoin. I beleive it has massive potential, and creators, service providers and consumers can benefit massively from ecash's proposition. Using ecash doesn't mean you reject self custody. It means you have realized that there is more tools than just a hammer, and you intend to use the tool that can best solve the problem at hand. This also means, that to some the tool "ecash" may be useless. After all, not everyone is a carpenter. This is also fine. Use whatever you think is useful, and don't let people tell you otherwise.

Also, please don't take my word for it. Think for yourself.

Best,

Gandlaf

@ a367f9eb:0633efea

I’ll admit that I was wrong about Bitcoin. Perhaps in 2013. Definitely 2017. Probably in 2018-2019. And maybe even today.

Being wrong about Bitcoin is part of finally understanding it. It will test you, make you question everything, and in the words of BTC educator and privacy advocate Matt Odell, “Bitcoin will humble you”.

I’ve had my own stumbles on the way.

In a very public fashion in 2017, after years of using Bitcoin, trying to start a company with it, using it as my primary exchange vehicle between currencies, and generally being annoying about it at parties, I let out the bear.

In an article published in my own literary magazine Devolution Review in September 2017, I had a breaking point. The article was titled “Going Bearish on Bitcoin: Cryptocurrencies are the tulip mania of the 21st century”.

It was later republished in Huffington Post and across dozens of financial and crypto blogs at the time with another, more appropriate title: “Bitcoin Has Become About The Payday, Not Its Potential”.

As I laid out, my newfound bearishness had little to do with the technology itself or the promise of Bitcoin, and more to do with the cynical industry forming around it:

In the beginning, Bitcoin was something of a revolution to me. The digital currency represented everything from my rebellious youth.

It was a decentralized, denationalized, and digital currency operating outside the traditional banking and governmental system. It used tools of cryptography and connected buyers and sellers across national borders at minimal transaction costs.

…

The 21st-century version (of Tulip mania) has welcomed a plethora of slick consultants, hazy schemes dressed up as investor possibilities, and too much wishy-washy language for anything to really make sense to anyone who wants to use a digital currency to make purchases.

While I called out Bitcoin by name at the time, on reflection, I was really talking about the ICO craze, the wishy-washy consultants, and the altcoin ponzis.

What I was articulating — without knowing it — was the frame of NgU, or “numbers go up”. Rather than advocating for Bitcoin because of its uncensorability, proof-of-work, or immutability, the common mentality among newbies and the dollar-obsessed was that Bitcoin mattered because its price was a rocket ship.

And because Bitcoin was gaining in price, affinity tokens and projects that were imperfect forks of Bitcoin took off as well.

The price alone — rather than its qualities — were the reasons why you’d hear Uber drivers, finance bros, or your gym buddy mention Bitcoin. As someone who came to Bitcoin for philosophical reasons, that just sat wrong with me.

Maybe I had too many projects thrown in my face, or maybe I was too frustrated with the UX of Bitcoin apps and sites at the time. No matter what, I’ve since learned something.

I was at least somewhat wrong.

My own journey began in early 2011. One of my favorite radio programs, Free Talk Live, began interviewing guests and having discussions on the potential of Bitcoin. They tied it directly to a libertarian vision of the world: free markets, free people, and free banking. That was me, and I was in. Bitcoin was at about $5 back then (NgU).

I followed every article I could, talked about it with guests on my college radio show, and became a devoted redditor on r/Bitcoin. At that time, at least to my knowledge, there was no possible way to buy Bitcoin where I was living. Very weak.

I was probably wrong. And very wrong for not trying to acquire by mining or otherwise.

The next year, after moving to Florida, Bitcoin was a heavy topic with a friend of mine who shared the same vision (and still does, according to the Celsius bankruptcy documents). We talked about it with passionate leftists at Occupy Tampa in 2012, all the while trying to explain the ills of Keynesian central banking, and figuring out how to use Coinbase.

I began writing more about Bitcoin in 2013, writing a guide on “How to Avoid Bank Fees Using Bitcoin,” discussing its potential legalization in Germany, and interviewing Jeremy Hansen, one of the first political candidates in the U.S. to accept Bitcoin donations.

Even up until that point, I thought Bitcoin was an interesting protocol for sending and receiving money quickly, and converting it into fiat. The global connectedness of it, plus this cypherpunk mentality divorced from government control was both useful and attractive. I thought it was the perfect go-between.

But I was wrong.

When I gave my first public speech on Bitcoin in Vienna, Austria in December 2013, I had grown obsessed with Bitcoin’s adoption on dark net markets like Silk Road.

My theory, at the time, was the number and price were irrelevant. The tech was interesting, and a novel attempt. It was unlike anything before. But what was happening on the dark net markets, which I viewed as the true free market powered by Bitcoin, was even more interesting. I thought these markets would grow exponentially and anonymous commerce via BTC would become the norm.

While the price was irrelevant, it was all about buying and selling goods without permission or license.

Now I understand I was wrong.

Just because Bitcoin was this revolutionary technology that embraced pseudonymity did not mean that all commerce would decentralize as well. It did not mean that anonymous markets were intended to be the most powerful layer in the Bitcoin stack.

What I did not even anticipate is something articulated very well by noted Bitcoin OG Pierre Rochard: Bitcoin as a savings technology.

The ability to maintain long-term savings, practice self-discipline while stacking stats, and embrace a low-time preference was just not something on the mind of the Bitcoiners I knew at the time.

Perhaps I was reading into the hype while outwardly opposing it. Or perhaps I wasn’t humble enough to understand the true value proposition that many of us have learned years later.

In the years that followed, I bought and sold more times than I can count, and I did everything to integrate it into passion projects. I tried to set up a company using Bitcoin while at my university in Prague.

My business model depended on university students being technologically advanced enough to have a mobile wallet, own their keys, and be able to make transactions on a consistent basis. Even though I was surrounded by philosophically aligned people, those who would advance that to actually put Bitcoin into practice were sparse.

This is what led me to proclaim that “Technological Literacy is Doomed” in 2016.

And I was wrong again.

Indeed, since that time, the UX of Bitcoin-only applications, wallets, and supporting tech has vastly improved and onboarded millions more people than anyone thought possible. The entrepreneurship, coding excellence, and vision offered by Bitcoiners of all stripes have renewed a sense in me that this project is something built for us all — friends and enemies alike.

While many of us were likely distracted by flashy and pumpy altcoins over the years (me too, champs), most of us have returned to the Bitcoin stable.

Fast forward to today, there are entire ecosystems of creators, activists, and developers who are wholly reliant on the magic of Bitcoin’s protocol for their life and livelihood. The options are endless. The FUD is still present, but real proof of work stands powerfully against those forces.

In addition, there are now dozens of ways to use Bitcoin privately — still without custodians or intermediaries — that make it one of the most important assets for global humanity, especially in dictatorships.

This is all toward a positive arc of innovation, freedom, and pure independence. Did I see that coming? Absolutely not.

Of course, there are probably other shots you’ve missed on Bitcoin. Price predictions (ouch), the short-term inflation hedge, or the amount of institutional investment. While all of these may be erroneous predictions in the short term, we have to realize that Bitcoin is a long arc. It will outlive all of us on the planet, and it will continue in its present form for the next generation.

Being wrong about the evolution of Bitcoin is no fault, and is indeed part of the learning curve to finally understanding it all.

When your family or friends ask you about Bitcoin after your endless sessions explaining market dynamics, nodes, how mining works, and the genius of cryptographic signatures, try to accept that there is still so much we have to learn about this decentralized digital cash.

There are still some things you’ve gotten wrong about Bitcoin, and plenty more you’ll underestimate or get wrong in the future. That’s what makes it a beautiful journey. It’s a long road, but one that remains worth it.

@ 3bf0c63f:aefa459d

Bolo

It seems that from 1987 to around 2000 there was a big community of people who played this game called "Bolo". It was a game in which people controlled a tank and killed others while trying to capture bases in team matches. Always 2 teams, from 2 to 16 total players, games could last from 10 minutes to 12 hours. I'm still trying to understand all this.

The game looks silly from some videos you can find today, but apparently it was very deep in strategy because people developed strategy guides and wrote extensively about it and Netscape even supported bolo: URLs out of the box.

The two most important elements on the map are pillboxes and bases. Pillboxes are originally neutral, meaning that they shoot at every tank that happens to get in its range. They shoot fast and with deadly accuracy. You can shoot the pillbox with your tank, and you can see how damaged it is by looking at it. Once the pillbox is subdued, you may run over it, which will pick it up. You may place the pillbox where you want to put it (where it is clear), if you've enough trees to build it back up. Trees are harvested by sending your man outside your tank to forest the trees. Your man (also called a builder) can also lay mines, build roads, and build walls. Once you have placed a pillbox, it will not shoot at you, but only your enemies. Therefore, pillboxes are often used to protect your bases.

That quote was taken from this "augmented FAQ" written by some user. Apparently there were many FAQs for this game. A FAQ is after all just a simple, clear and direct to the point way of writing about anything, previously known as summa[^summa-k], it doesn't have to be related to any actually frequently asked question.

More unexpected Bolo writings include an etiquette guide, an anthropology study and some wonderings on the reverse pill war tactic.

[^summa-k]: It's not the same thing, but I couldn't help but notice the similarity.

@ da0b9bc3:4e30a4a9

Hello Stackers!

Welcome on into the ~Music Corner of the Saloon!

A place where we Talk Music. Share Tracks. Zap Sats.

So stay a while and listen.

🚨Don't forget to check out the pinned items in the territory homepage! You can always find the latest weeklies there!🚨

🚨Subscribe to the territory to ensure you never miss a post! 🚨

originally posted at https://stacker.news/items/862063

@ 3bf0c63f:aefa459d

IPFS problems: Community

I was an avid IPFS user until yesterday. Many many times I asked simple questions for which I couldn't find an answer on the internet in the #ipfs IRC channel on Freenode. Most of the times I didn't get an answer, and even when I got it was rarely by someone who knew IPFS deeply. I've had issues go unanswered on js-ipfs repositories for year – one of these was raising awareness of a problem that then got fixed some months later by a complete rewrite, I closed my own issue after realizing that by myself some couple of months later, I don't think the people responsible for the rewrite were ever acknowledge that he had fixed my issue.

Some days ago I asked some questions about how the IPFS protocol worked internally, sincerely trying to understand the inefficiencies in finding and fetching content over IPFS. I pointed it would be a good idea to have a drawing showing that so people would understand the difficulties (which I didn't) and wouldn't be pissed off by the slowness. I was told to read the whitepaper. I had already the whitepaper, but read again the relevant parts. The whitepaper doesn't explain anything about the DHT and how IPFS finds content. I said that in the room, was told to read again.

Before anyone misread this section, I want to say I understand it's a pain to keep answering people on IRC if you're busy developing stuff of interplanetary importance, and that I'm not paying anyone nor I have the right to be answered. On the other hand, if you're developing a super-important protocol, financed by many millions of dollars and a lot of people are hitting their heads against your software and there's no one to help them; you're always busy but never delivers anything that brings joy to your users, something is very wrong. I sincerely don't know what IPFS developers are working on, I wouldn't doubt they're working on important things if they said that, but what I see – and what many other users see (take a look at the IPFS Discourse forum) is bugs, bugs all over the place, confusing UX, and almost no help.

@ ac8bb9b0:70278acc

Details

• ⏲️ Prep time: 10
• 🍳 Cook time: 20
• 🍽️ Servings: 5

Ingredients

• 8 ounces uncooked linguine
• 1 pound chicken breast, cut into strips
• 1-2 tsp Cajun seasoning, or more to taste
• 1 tsp garlic powder
• 1 tbsp extra virgin olive oil
• 1 medium red bell pepper, thinly sliced
• 1 medium yellow bell pepper, thinly sliced
• 8 oz fresh mushrooms, sliced
• 1/2 red onion, sliced
• 3 cloves garlic, minced
• 2 tomatoes, diced
• 1 cup low sodium chicken broth
• 1/3 cup skim milk
• 1 tbsp flour
• 3 tbsp light cream cheese
• fresh cracked pepper
• 2 scallions, chopped
• kosher salt to taste
• avocado oil spray

Directions

1. Prep all your vegetables.
2. In a small blender make a slurry by combining milk, flour and cream cheese. Set aside.
3. Season chicken generously with Cajun seasoning, garlic powder and salt.
4. Prepare pasta in salted water according to package directions.
5. Heat a large heavy nonstick skillet over medium-high heat; spray with oil and add half of the chicken.
6. Sauté 5 to 6 minutes or until done, set aside on a plate and repeat with the remaining chicken. Set aside.
7. Add olive oil to the skillet and reduce to medium; add bell peppers, onions, and garlic to skillet, sauté 3-4 minutes.
8. Add mushrooms and tomatoes and sauté 3-4 more minutes or until vegetables are tender.
9. Season with 1/4 tsp salt, garlic powder and fresh cracked pepper to taste.
10. Reduce heat to medium-low; add chicken broth and pour in slurry stirring about 2 minutes.
11. Return chicken to skillet; adjust salt and Cajun seasoning to taste, cook another minute or two until hot, then add linguine; toss well to coat.
12. Top with chopped scallions and enjoy!

@ 6d8e2a24:5faaca4c

Why do people enjoy pain and a short time pleasure, which could ruin their life and peace?

Why can't people leave their fleshy desires, obsession and pleasures even if it kills them?

Many have become slaves to their obsession having no will of theirs, claiming to be free yet imprisoned by their futility and lust.

We thought we have closed all the doors and windows, turn off the light so no one can see us, least so we thought to ourselves, forgetting our conscience is wide open, and God who sit in heaven watching, like it was never night nor dark, sees through us for he is light ruling over darkness.

The devil working upon our obsession making it a reality. The devil always uses our sinful, lustful desire to trick us given an end vain pleasure

We fall once, down with the guilt and pain of sin, the weight of the burden once thought, destroying the spirit and causing so many pains of regret, low self-esteem, and lack of confidence again.

He comes again not to bring new but to dwell in our past, bringing memories, mistakes, and errors making us feel more guilty and vulnerable, making us feel worthless and hopeless "We are doomed, so we think, God can't help us, our sins are too many; and with that, he finds a way to make us fall again, destroying us slowly till we are empty, having no will (stronghold).

Like a fire 🔥 lit in a bush, small as it is no one thought it could cause so much harm, or rather they thought they could control it or, put it off when they don't need it or, get bizarre.

Anything that has passed infantry allowed to grow is difficult or impossible to control so is a sin when is allowed to grow like a fire covering many areas is hard to put all areas off fast before one knows many areas are damaged many are beyond repairs

Every day we wake up, we plan how our lives, and how we are going to live the day, without the slimmest thought of contention, 'what if'. We do believe we have everything under control, everything planned out, but we forget that we are nothing but a sand timer that runs down so quickly than we thought.

Like the sand timer, our lives fade away gently, piece by piece till we cease to exist, only then, do we understand that we are rebels in this kingdom, not owners for we own nothing, with the dust reaching its last, the heartbeat and craves for more time, then we also understand, that time is never enough and time is so precious and priceless

Why do we always feel as if we have all the time in the world? why do we assume death to be a fairytale or a horror ghost story just to scare us out? Without having a sting.

Every day death proves more eager, the grave is so desperate that it looms looking and searching for any opportunity necessary to sting it stings.

But we are so carried away by life, deceived by what we have, the power, authority, and influence. We feel we are covered, yes we are but only to some certain extent. For life is so spiritual, than we could ever imagine or think of.

The night comes darkness looms over, evil rises, and fear grips one's heart, all wishing for the light. But now is no longer darkness that's so terrifying, but light itself has become as terrifying as the darkness, people wishing to live through the light, now wish the same to live through the night, for in it they find peace and comfort 😢

Why, I ask why, why has light become so terrifying and darkness become more comforting that the people find solace in it?

I came to understand why people find comfort in darkness is because they are afraid of selves afraid of what they have become, darkness does not challenge but rather allows you to wallow in your misery and regret, killing and draining you where no one will correct you or remind you, that you are not good enough, darkness gives you the room to accept who and what you have become, and there and then it echoes is better to die and live in peace than to be alive and live in misery.

Why will one think of death as the only option or think of death as the only solution to peace, is living not joyful, is life not great to live, why will one wish to leave all, family, friends everything, and settle for death?

I came to understand that, the most reason why one tends to choose death over life or loves to behold the warmth of darkness instead of light, is the feeling of emptiness and internal failure even after a significant measure, of material and social success, is a direct result of failure to discover purpose in life and a reason of being, when one loses his peace, joy all that's left or remain is pain, and regret. When a man reaches a stage of emptiness, where nothing else again matters life itself has no meaning, then it's only a test of time before destruction befalls such a person

Even the rich are depressed and frustrated beholding the enticement of the dark, and many try to drink themselves up, to them is the only way to find peace within, why, after so much wealth and achievement yet feel lonely, his greatest friends are alcohol and nights.

If money, riches cant give fulfillment or perfect peace then what can?

@ 3bf0c63f:aefa459d

Castas hindus em nova chave

Shudras buscam o máximo bem para os seus próprios corpos; vaishyas o máximo bem para a sua própria vida terrena e a da sua família; kshatriyas o máximo bem para a sociedade e este mundo terreno; brâmanes buscam o máximo bem.

@ fbf0e434:e1be6a39

Hackathon 总结

EDU Chain Hackathon: Semester 1 在2024年圆满结束，活动参与人数众多，成果显著。该活动由 Open Campus 主办，共有 725 个项目参赛，吸引了 4,672 名开发者，奖池达 $200,000。经过评选，共有 20 位获奖者分别来自两个主要类别——DeFi 和基础设施，还有 12 位获奖者来自其他四个类别。

评审标准重点关注生态系统影响、创新性和可扩展性，由 Animoca Brands 和 Open Campus 等组织的代表进行评估。获奖者可加入 Open Campus 加速器计划中的 EDU Chain 开发者群，获得 DAO 提案支持，并通过 Forbes 等平台获得媒体曝光。他们还可以加入一个专门的 Discord 频道与评委交流，每个项目有高达 $100,000 的潜在资金支持机会。

此次 hackathon 是 EDU Chain 上去中心化应用程序开发的关键事件。EDU Chain 是 Arbitrum Orbit Stack 内的一个 L3 Rollup，旨在加强基于区块链的教育解决方案。来自 ForbesWeb3 和 ApeCoin 等公司的赞助突显出区块链在教育行业中的日益融合，加强了民主化教育的更广泛使命。

Hackathon 获奖者

DeFi 奖项获奖者

• SailFish veDEX：这个去中心化交易所建立在 Open Campus 上，利用 Vote-Escrow 和 (3,3) 博弈论与用户分享交易费用。它提高了收益机会，运行在 Sepolia 网络上。
• Blend-lending protocol for educhain：提供以 $EDU 代币为抵押的教育贷款，提供诸如 USDT 的稳定资产。该协议采用由 $EDU 代币持有者治理的安全透明智能合约。
• Streambill：利用 Sablier 协议和 Request Network 为自由职业者提供实时支付，增强发票和支付清晰度。
• stakedu：一个 $EDU 代币的抵押平台，提供奖励和动态分配管理，增加 EDUchain 生态系统的参与度。
• P2P Lending and Borrowing Protocol for Ordinals Powered by EduChain：提供以 NFT 为抵押的贷款，利息最高达 350%，其智能合约可跨网络结合 Ordinals。

基础设施 dApps 奖项获奖者

• create-edu-dapp：为 EduChain 上的 dApp 开发提供 CLI 工具，支持 Next.js、Hardhat 和 Foundry，以便进行无缝测试和部署。
• poapedu：将学习认证集中化为链上 NFT，借助全面的技能映射帮助职业规划。
• Grasp Academy：此基于区块链的 LMS 通过 NFT 奖励用户参与，整合教育融资和个性化 AI 工具。
• Blitz Protocol：提供实时区块链数据访问、可扩展后端的数据信息解决方案，专为 Open Campus 网络优化。
• ThrustPad ILO ：一个去中心化的筹资平台，利用代币锁定和抵押机制支持教育技术计划。

EduFi 奖项获奖者

• Campus Arc BETA：为全球学生连接的协作在线学习，专注于基于项目的体验，结合 Web2 和 Web3 框架。
• DcodeBlock：一个游戏化平台，帮助开发者通过任务和 AI 增强学习从 Web2 过渡到 Web3。
• Course3：一个去中心化的课程市场平台，采用 Web3 技术在课程之间实现安全验证。
• CourseCast：管理教育广告活动，提供访问者分析工具，利用 Edu 代币和零知识证明进行验证。
• Vault：提供小额费用和跨链兼容的教育金融平台，通过区块链促进学费和薪资支付。

Earn 奖项获奖者

• OpenTaskAI：通过区块链支持的市场将 AI 自由职业者与全球机会连接，使用智能合约保障安全。
• [Ludium] Edu Bounty Management System：通过透明的链上合约简化教育悬赏管理的任务验证和支付。
• PRISM: Decentralised Content Ecosystem：将数字内容标记化为 NFT，从而增强创作者和读者的变现和来源可靠性。
• According.Work：自动化开源贡献的奖励分配，通过 GitHub 集成和区块链保障透明度。
• edBank：建立以 EDU 资产支持的稳定币系统，提供灵活的铸币和借款服务。

Learn 奖项获奖者

• Proof of Learn：一个互动的 Web3 学习平台，提供基于区块链的任务及 POAP 奖励，重视实践概念的部署。
• Sorted Wallet：为功能手机用户提供加密超级应用，提供资产存储和转换功能，以增加金融访问。
• DAO UNI 3.0：一个由 DAO 治理的去中心化大学，提供基于代币的课程和互动虚拟环境。
• AI Tutor：通过个性化 AI 导师和 NFT 证书提高教育体验，实现可验证的成就。

其他奖项获奖者

• EDUCHAIN Community Faucet：通过在 Open Campus 上统一 token faucet 简化多平台的代币测试。
• Lore Network：通过基于区块链的凭证和 AI 学习工具将在线内容转化为全球教育中心。
• DDream：设计用于模块化开发的开源 AI 集成游戏引擎，着重于社区所有权。
• LPU Name Service：为管理基于 NFT 的学术凭证提供安全的 Web3 域名服务。
• MusiCoinCity：将区块链与主题音景结合，以促进对环境活动的捐款，确保通过智能合约实现透明。

有关这些项目的更多详细信息，请访问 Dorahacks Hackathon 页面。

关于主办方

Open Campus

Open Campus 是一个由社区驱动的协议，旨在通过去中心化教育决策来赋能教育者、内容创作者、家长和学生。该计划鼓励教育工作者根据学生需求定制教材，创造一个协作的环境。Open Campus 还通过其“Bringing Education On-Chain”计划为全球有影响力的教育者开辟新的金融渠道，将教育与区块链技术相结合，强调学习方法的创新。作为教育技术领域的积极参与者，Open Campus 一直致力于提高全球教育的可及性和有效性。

@ 3bf0c63f:aefa459d

Economics

Just a bunch of somewhat-related notes.

• notes on "Economic Action Beyond the Extent of the Market", Per Bylund
• Mises' interest rate theory
• Profits, not wages, as the originary factor
• Reisman on opportunity cost
• Money Supply Measurement
• Per Bylund's insight
• Maybe a new approach to the Austrian Business Cycle Theory, some disorganized thoughts
• An argument according to which fractional-reserve banking is merely theft and nothing else
• Conjecture and criticism
• Qual é o economista? (piadas)
• UBI calculations
• Donations on the internet

@ 3b19f10a:4e1f94b4

Sometimes perspective is everything...

artmodel

nude

nudemodel

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@ ed84ce10:cccf4c2a

Hackathon Summary

The EDU Chain Hackathon: Semester 1 concluded with substantial participation and noteworthy outcomes. Hosted by Open Campus, the event featured 725 projects and attracted 4,672 developers, offering a $200,000 prize pool. Twenty winners were selected across two primary categories—DeFi and Infrastructure—and an additional 12 winners were chosen from four other categories.

Judging criteria focused on ecosystem impact, innovation, and scalability, with evaluations conducted by representatives from organizations like Animoca Brands and Open Campus. Winning participants were offered an opportunity to join the EDU Chain Developer Cohort within the Open Campus Accelerator Program, support for DAO proposals, and media exposure through platforms such as Forbes. They also gained access to a dedicated Discord channel with the judges, with potential funding sponsorships reaching $100,000 per project.

This hackathon was a pivotal event for the development of decentralized applications on the EDU Chain, an L3 Rollup within the Arbitrum Orbit Stack, aimed at enhancing blockchain-based educational solutions. Sponsorship from companies like ForbesWeb3 and ApeCoin highlighted the increasing integration of blockchain in the education sector, reinforcing the broader mission of democratizing education.

Hackathon Winners

DeFi Prize Winners

• SailFish veDEX: This decentralized exchange on Open Campus shares trading fees with users, utilizing Vote-Escrow and (3,3) game theory. It improves yield opportunities and operates on the Sepolia network.
• Blend-lending protocol for educhain: Facilitates educational loans backed by $EDU tokens, offering stable assets like USDT. The protocol features secure, transparent smart contracts governed by $EDU token holders.
• Streambill: Enables real-time payments for freelancers using the Sablier protocol and Request Network, enhancing invoicing and payment clarity.
• stakedu: A staking platform for $EDU tokens that offers rewards and dynamic allocation management, boosting engagement within the EDUchain ecosystem.
• P2P Lending and Borrowing Protocol for Ordinals Powered by EduChain: Provides NFT-backed loans with interest up to 350%, supported by smart contracts that integrate Ordinals across networks.

Infrastructure dApps Prize Winners

• create-edu-dapp: Offers a CLI tool for dApp development on EduChain, supporting Next.js, Hardhat, and Foundry to facilitate seamless testing and deployment.
• poapedu: Centralizes learning certifications into on-chain NFTs, aiding in career planning through comprehensive skill mapping.
• Grasp Academy: This blockchain-based LMS rewards user participation with NFTs and incorporates educational financing and personalized AI tools.
• Blitz Protocol: A data indexing solution delivering real-time blockchain data access with a scalable backend tailored for the Open Campus network.
• ThrustPad ILO: A decentralized fundraising platform that utilizes token-locking and staking mechanisms to support educational technology initiatives.

EduFi Prize Winners

• Campus Arc BETA: Connects students globally for collaborative e-learning, focusing on project-based experiences with integrated Web2 and Web3 frameworks.
• DcodeBlock: A gamified platform assisting developers in transitioning from Web2 to Web3 through missions and AI-enhanced learning.
• Course3: A decentralized marketplace for courses that enables direct interaction between creators and students, using Web3 technologies for secure verification of courses.
• CourseCast: Manages educational ad campaigns with tools for visitor analytics, utilizing Edu tokens and zero-knowledge proofs for verification.
• Vault: Provides a financial platform for education with minimal fees and cross-chain compatibility, facilitating tuition and salary payments via blockchain.

Earn Prize Winners

• OpenTaskAI: Connects AI freelancers with global opportunities through a secure blockchain-enabled marketplace using smart contracts.
• [Ludium] Edu Bounty Management System: Streamlines educational bounty management with transparent, on-chain contracts for task verification and payments.
• PRISM: Decentralised Content Ecosystem: Tokenizes digital content as NFTs, thereby enhancing monetization and provenance for creators and readers.
• According.Work: Automates reward distribution for open-source contributions, guaranteeing transparency via GitHub integration and blockchain.
• edBank: Builds a stablecoin system backed by EDU assets, facilitating minting and borrowing for financial flexibility.

Learn Prize Winners

• Proof of Learn: An interactive Web3 learning platform offering blockchain-based quests with POAP rewards and a focus on practical concept deployment.
• Sorted Wallet: Increases financial access for feature phone users with a crypto super app offering asset storage and conversion features.
• DAO UNI 3.0: A DAO-governed decentralized university providing token-based access to courses and interactive virtual environments.
• AI Tutor: Enhances educational experiences through personalized AI tutors and NFT certificates for verifiable achievements.

Miscellaneous Prize Winners

• EDUCHAIN Community Faucet: Simplifies token testing across multiple platforms by unifying token faucets on Open Campus.
• Lore Network: Transforms online content into a global educational hub by using blockchain-secured credentials and AI learning tools.
• DDream: An open-source, AI-integrated gaming engine designed for modular development with a focus on community ownership.
• LPU Name Service: Provides Web3 domain services to securely manage NFT-based academic credentials.
• MusiCoinCity: Combines blockchain with themed soundscapes to facilitate donations for environmental causes, ensuring transparency via smart contracts.

Further details on these projects are available on the Dorahacks Hackathon page.

About the Organizer

Open Campus

Open Campus is a community-driven protocol focused on empowering educators, content creators, parents, and students by decentralizing decision-making in education. The initiative encourages a collaborative environment where educators can customize materials according to students’ needs. Open Campus also introduces new financial avenues for impactful educators globally through its initiative "Bringing Education On-Chain," which combines education with blockchain technology to emphasize innovation in learning methodologies. As an active participant in the education technology sector, Open Campus consistently seeks to enhance educational accessibility and effectiveness worldwide.

@ 16d11430:61640947

Part One: "A Crackle in the Air"

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Prologue

The year is 2147. Humanity, having colonized parts of the solar system, has finally intercepted a signal from the stars. What began as a faint electromagnetic anomaly turned into a full-scale communication effort. The signal, originating from a neighboring star system, revealed the existence of Homo Electromagnus—a humanoid xenospecies whose evolution was shaped by their mastery of bioelectricity.

Diplomatic efforts stretched for decades, culminating in a historic agreement: a controlled introduction of Homo Electromagnus to Earth. The goal was to initiate peaceful cohabitation while learning about their bioelectric capabilities. However, as the first contact unfolded, humanity’s carefully laid plans began to falter under the weight of unforeseen consequences.

---

Chapter One: The Arrival

The ship Arc Synapse entered Earth’s orbit, carrying the first delegation of Homo Electromagnus—ten individuals, led by their elder representative, Xeylan. The ship itself was a marvel, powered by an intricate bioelectric system that pulsed like a living heart. Xeylan had explained, through translated signals, that their species had evolved to coexist symbiotically with technology, manipulating it with the precision of thought.

The landing site was a sterile, controlled environment constructed by humans—an isolated biosphere outside the Mojave Desert. Security was tight, with EMP shielding built into every structure. Human diplomats, engineers, and scientists gathered, eager to welcome their alien counterparts.

As the delegation descended from their ship, shimmering arcs of electricity crackled along their skin. Their bioluminescent eyes glowed faintly, scanning the crowd. The tension was palpable.

Dr. Elena Voss, a leading xenobiologist, stepped forward to greet Xeylan. “On behalf of Earth, I welcome you to our home,” she said, her voice steady despite the charged air around them.

Xeylan tilted their head, their voice vibrating through a translator. “We come in peace and curiosity. Let us learn from one another.”

---

Chapter Two: First Contact

Initial interactions went smoothly. The Homo Electromagnus delegation demonstrated their ability to manipulate electromagnetic waves, repairing a human drone in seconds by “rebooting” it with a controlled bioelectric pulse. In exchange, humans shared their advancements in quantum computing and nanotechnology.

But the problems began as soon as the delegation stepped outside the controlled environment.

Incident One: The Streetlights. A convoy took the delegation to an observation site in Las Vegas. As they entered the city outskirts, the lights flickered, dimmed, and, in some cases, went out entirely. Xeylan apologized, explaining that their bioelectric fields could unintentionally interfere with poorly shielded systems. What had been designed as a public relations victory—showing the delegation waving to crowds—turned into an eerie blackout. News feeds lit up with headlines about "alien-induced outages."

Incident Two: Personal Devices. During a dinner meeting, one of the delegation members, Tayrin, inadvertently disabled several diplomats’ personal devices. Phones, tablets, and even biometric implants malfunctioned within a five-meter radius of their seat. Tayrin apologized profusely, but the diplomats were visibly shaken. The United Nations liaison whispered to Dr. Voss, “This can’t happen in populated areas. Imagine the chaos if they walked through Manhattan.”

Incident Three: Human Physiology. On the third day, a technician monitoring the delegation collapsed during a routine interaction. Medical scans revealed irregular heart rhythms, likely caused by electromagnetic interference. The Homo Electromagnus emitted low-level pulses naturally, which were harmless to their kind but could disrupt human pacemakers and nervous systems.

Dr. Voss confronted Xeylan privately. “This isn’t working. We can’t control the effects you’re having on our systems—and now, on us. How do we move forward?”

Xeylan’s gaze was steady, their voice calm. “Your world is fragile. Ours is… intense. We must learn balance, but that requires trust and time.”

---

Chapter Three: Escalation

The media frenzy around the incidents escalated. Conspiracy theories flourished, claiming the Homo Electromagnus were intentionally disabling human infrastructure as a prelude to invasion. Protestors gathered outside the Mojave biosphere, demanding the delegation be sent back.

Inside the biosphere, tensions grew as well. Human scientists, frustrated by the constant disruptions, began installing new shielding and protocols. The delegation, meanwhile, grew restless. Tayrin expressed frustration to Xeylan. “They fear us. How can we coexist when their machines collapse under our presence?”

Dr. Voss proposed an experiment: a trip to a remote island, away from human technology, to test coexistence in a less controlled environment. The delegation agreed, seeing it as a chance to prove their good intentions.

But even on the island, issues arose. The group discovered that Homo Electromagnus bioelectric fields disrupted animal migration patterns and aquatic ecosystems. Whales stranded themselves nearby, confused by the alien electromagnetic signals. Xeylan looked out over the beach, their luminous eyes dim. “Even your world’s life is tied to invisible fields. We have disturbed it.”

---

Chapter Four: The Spark of Conflict

Back in the Mojave, the situation deteriorated further. An accidental bioelectric pulse from Tayrin during a training demonstration overloaded the biosphere’s EMP shielding. Half the facility’s systems went offline, including oxygen regulation. Panic ensued as scientists and diplomats scrambled to evacuate.

The media caught wind of the event before it was contained. Images of choking researchers and flickering lights spread across every network. The narrative shifted from “peaceful contact” to “alien threat.” Governments began discussing whether to terminate the experiment entirely and send the delegation away.

Xeylan called an emergency meeting with Dr. Voss and the diplomatic team. “We did not come to harm. But we see now… your world is incompatible with our existence.”

Dr. Voss shook her head. “No, it’s not incompatible. Just… unprepared. This isn’t failure. It’s a challenge.”

But Xeylan was unconvinced. “A challenge may become a threat. You fear what you cannot control. And we fear what we might break.”

---

Chapter Five: The Breaking Point

The story culminates in a public crisis. One member of the delegation, overwhelmed by stress and human hostility, emits an uncontrolled EMP during a protest near the Mojave facility. The pulse disables nearby drones and vehicles, and several protesters are injured in the chaos. This act, though unintentional, pushes public opinion to the brink.

The United Nations calls for the delegation to be escorted back to their ship and removed from Earth, at least temporarily. Dr. Voss pleads for more time, but the political pressure is insurmountable.

As the delegation boards their ship, Xeylan pauses to speak to Dr. Voss. “We came to learn, but perhaps we have only taught. You are not ready for us, and we are not ready for you. But someday…”

With that, the Arc Synapse ascends, leaving Earth in silence. Humanity is left grappling with the challenges of interspecies contact and what it means to coexist with beings fundamentally different from themselves.

---

Epilogue

In the aftermath, debates rage about whether the contact was a success or a failure. Dr. Voss writes in her journal: "They didn’t disrupt our world. They revealed its fragility. Maybe that’s the lesson we needed."

Above Earth, the Homo Electromagnus watch from orbit, waiting for humanity to decide its next move.

---

To Be Continued…

@ 3bf0c63f:aefa459d

Thoughts on Nostr key management

On Why I don't like NIP-26 as a solution for key management I talked about multiple techniques that could be used to tackle the problem of key management on Nostr.

Here are some ideas that work in tandem:

• NIP-41 (stateless key invalidation)
• NIP-46 (Nostr Connect)
• NIP-07 (signer browser extension)
• Connected hardware signing devices
• other things like musig or frostr keys used in conjunction with a semi-trusted server; or other kinds of trusted software, like a dedicated signer on a mobile device that can sign on behalf of other apps; or even a separate protocol that some people decide to use as the source of truth for their keys, and some clients might decide to use that automatically
• there are probably many other ideas

Some premises I have in my mind (that may be flawed) that base my thoughts on these matters (and cause me to not worry too much) are that

• For the vast majority of people, Nostr keys aren't a target as valuable as Bitcoin keys, so they will probably be ok even without any solution;
• Even when you lose everything, identity can be recovered -- slowly and painfully, but still --, unlike money;
• Nostr is not trying to replace all other forms of online communication (even though when I think about this I can't imagine one thing that wouldn't be nice to replace with Nostr) or of offline communication, so there will always be ways.
• For the vast majority of people, losing keys and starting fresh isn't a big deal. It is a big deal when you have followers and an online persona and your life depends on that, but how many people are like that? In the real world I see people deleting social media accounts all the time and creating new ones, people losing their phone numbers or other accounts associated with their phone numbers, and not caring very much -- they just find a way to notify friends and family and move on.

We can probably come up with some specs to ease the "manual" recovery process, like social attestation and explicit signaling -- i.e., Alice, Bob and Carol are friends; Alice loses her key; Bob sends a new Nostr event kind to the network saying what is Alice's new key; depending on how much Carol trusts Bob, she can automatically start following that and remove the old key -- or something like that.

---

One nice thing about some of these proposals, like NIP-41, or the social-recovery method, or the external-source-of-truth-method, is that they don't have to be implemented in any client, they can live in standalone single-purpose microapps that users open or visit only every now and then, and these can then automatically update their follow lists with the latest news from keys that have changed according to multiple methods.

@ 3bf0c63f:aefa459d

IPFS problems: Shitcoinery

IPFS was advertised to the Ethereum community since the beggining as a way to "store" data for their "dApps". I don't think this is harmful in any way, but for some reason it may have led IPFS developers to focus too much on Ethereum stuff. Once I watched a talk showing libp2p developers – despite being ignored by the Ethereum team (that ended up creating their own agnostic p2p library) – dedicating an enourmous amount of work on getting a libp2p app running in the browser talking to a normal Ethereum node.

The always somewhat-abandoned "Awesome IPFS" site is a big repository of "dApps", some of which don't even have their landing page up anymore, useless Ethereum smart contracts that for some reason use IPFS to store whatever the useless data their users produce.

Again, per se it isn't a problem that Ethereum people are using IPFS, but it is at least confusing, maybe misleading, that when you search for IPFS most of the use-cases are actually Ethereum useless-cases.

See also

• Bitcoin, the only non-shitcoin

@ 234035ec:edc3751d

Satoshi Nakamoto emerged from the shadows of the internet, shortly after the Great Financial Crisis in 2008, to bring the world a new form of money known as Bitcoin. By introducing this alternative option to the world, Satoshi gave every human being an escape from the systemic confiscation of wealth that is fiat money.

“Money is only a tool. It will take you wherever you wish, but it will not replace you as the driver.”

― Ayn Rand,  Atlas Shrugged

Much like John Galt in Ayn Rand's Magnum Opus "Atlas Shrugged", Nakamoto paved the way for all of the productive members of society who have been taken advantage of by the "looters" to exit the corrupt system and let it crumble under its own weight. In our case instead of moving our physical bodies to a secluded gulch, we can simply move our wealth into Bitcoin.

The Men of the Mind

In the novel, one by one the great industrialists of the era were mysteriously disappearing and giving up on the great enterprises that they had built. People could not understand why these seemingly very successful individuals would leave behind everything they had created. There was however, a common trend amongst these individuals. All of them were highly competent in their field, placed high value on individualism, possessed a strong moral integrity with a bend towards rational self interest. They were fed up with the way that the system was designed to punish the productive individuals in the society and reward those who are least productive.

"From each according to his ability, to each according to his needs"

-Karl Marx

A form of this has crept its way into every civilization today including the United States which once prided itself on individual liberty and personal responsibility. It was predicted by Ayn Rand in 1957 with Atlas Shrugged depicting exactly how these collectivist ideals corrupt and decay a society by rewarding theft and stifling innovation.

As these productive individuals grew increasingly disenchanted with the status quo they began to look for answers, this leads them to finding John Galt. The mysterious figure that is John Galt would visit these people and explain to them all the things they already felt so so deeply abut their broken society but were never able to quite define. After having their eyes opened to the severity of the problem, they are presented the solution in Galt's Gulch. They are given the option to leave behind the corrupt society that they have been involuntarily fueling with the confiscated product of their efforts.

“We are on strike, we, the men of the mind.\ \ We are on strike against self-immolation. We are on strike against the creed of unearned rewards and unrewarded duties. We are on strike against the dogma that the pursuit of one's happiness is evil. We are on strike against the doctrine that life is guilt.”\ ― Ayn Rand, Atlas Shrugged

Satoshi's gift to the world

“If you saw Atlas, the giant who holds the world on his shoulders, if you saw that he stood, blood running down his chest, his knees buckling, his arms trembling but still trying to hold the world aloft with the last of his strength, and the greater his effort the heavier the world bore down upon his shoulders - What would you tell him?"\ \ I…don't know. What…could he do? What would you tell him?"\ \ To shrug.”\ ― Ayn Rand, Atlas Shrugged

When Satoshi Nakamoto created Bitcoin, he did so to solve a problem that he identified in the world around him. He saw the insidious power of central banks and how they create massive inequality and economic distortions. Rather than seek to modify or amend the current system Satoshi built a new and independent system that was built upon sound principals.

After introducing this new protocol for value exchange to the world, Satoshi did one of the most honorable things imaginable and disappeared without a trace. He took no financial reward for his contributions although he would be justified in doing so. By doing this he set a profound example allowing the project and the community around it to flourish.

Today Bitcoin serves as an escape valve for economic value to flow out of the fiat system and into a secure and sound network. Without this option individuals would be trapped into having their purchasing power lowly taxed away or forced to take on risk simply to preserve value. Wealthy individuals under a fiat system must own large amounts of property such as real estate, stocks, bonds, ect because they are able to store value better than their currency. these investments come with risks and drive a monetary premium to the assets which makes housing less affordable, stocks overvalued, and bonds seem less risky than they truly are.

Much like Galt's Gulch those who benefit from or are dependent on the legacy system will be the last to abandon it, even while it falls apart. The first ones to defect are those who are most negatively impacted by the current regime, like Atlas holding the world on their shoulders they are finally offered the chance to shrug the weight off. Those who have been working hard at their job for years but still struggle to save for retirement due to fiat debasement, public figures who have been de-banked for their views, entrepreneurs who are forced to hold toxic government debt on their balance sheets due to regulation, all will clearly see the value the Bitcoin offers.

And so, I salute to all of you who have decided to shrug off the yolk of central bank oppression and build a more prosperous future on the sound foundation the Satoshi gave to us. I hope to meet you all one day in Nakamoto Gulch.

@ f7524ebe:58863422

I started off my journey as a poor innocent developer thinking that the world of open source code distribution in the JVM would be simple. 2 days later and I just finally released code after setting up my own custom Maven server on a DigitalOcean droplet. To be fair I was too lazy to go through the whole process of setting up a Maven central repo. And some of you might have thought about Jitpack which would have been an option if I was doing standard JVM libraries, but I'm releasing Kotlin Multiplatform libraries and Jitpack builds your libraries on their server for distribution, which makes it so that building iOS binaries are not supported.

Every time I looked into how I could possibly distribute my libraries I found it to be such an uphill battle that I'd just quit. This most recent time I was determined. I figured there had to be a reasonable way to do it otherwise there wouldn't be like millions of libraries out there for Java. The God's honest truth is that sadly there is not a simple mainstream way.

After a long jacuzzi with my phone in hand reading every possible thing I could find on Maven, I, very fortunately, stumbled across this blog post which describes the awesomeness that is Reposilite. This is an awesome open source maven hosting website that you can self host. With the ability to run in docker, it's like a 3 minute process to get up and running. Huge kudos to the team that built it. Seriously it's the only project that actually seems to make some sense with the exception of Jitpack in the JVM dependency management ecosystem. How is Java a top 5 languages in the world and they have the most antiquated dependency management system.

I don't really want this post to be a tutorial on setting up Reposilite because they actually do a great job of explaining that in their docs, I do however want to cover a few supplemental elements that took me a little bit to find namely how to setup publishing properly in your project.

How to Configure Your Gradle Build for Publishing

Note: I'm not an expert on this, I am still learning, so if there's a better way feel free to let me know, but this is what worked for me.

When setting up a Kotlin Multiplatform library I have a block like this in my gradle.build.kts. Do note this is Kts flavored Gradle not groovy, so your script might be a bit different.

```kotlin plugins { ... id("maven-publish") // needed to get the maven publish command }

group = "com.somegroupname" version="0.1.0" // this will be the version of your library when it's in your maven repo

// this is the block responsible for pushing your library up to your maven repo publishing { val mavenUser: String by project val mavenPassword: String by project

repositories {
    maven {
        setUrl("https://yourDomain/releases")
        authentication {
            create("basic", BasicAuthentication::class.java)
        }
        credentials {
            username = mavenUser
            password = mavenPassword
        }
    }
}

} ```

Do note that the mavenUser and mavenPassword variables are coming from my ~/.gradle/gradle.properties file. This way it's highly unlikely that you'd ever accidentally commit those credentials to a repo. and we use the delegate by project as nice syntactic sugar to retrieve those values automatically.

with this configuration block added to your gradle build file you should be able to run the ./gradlew publish command. Or you can do it from your IDE... However you prefer and this will push your library live.

Also note if you are running this on a non secured http server you have to add a bit more code on the side where you are trying to pull your dependencies. I wouldn't recommend having a non secure HTTP server, but if you are like me, and wanted to test things on localhost before deploying to a server it is useful to do so.

here's how to include it when over an unsecure http connection:

kotlin repositories { ... maven("http://localhost:3000") { // or whatever port you set your local server to run on isAllowInsecureProtocol = true } }

@ 7c765d40:bd121d84

The same thing happens every bitcoin halving.

The new supply of bitcoin is chopped in half.

The demand rises while the supply shrinks.

Bitcoin starts making a move.

But it takes a little longer than people expect.

So they get impatient.

They get bored.

They greedy.

The 150% return they've made this year isn't enough.

F 150% I want 250%!

Or they bought in at the "top" and want to see some action.

And when I say they - I am including myself in there.

Just like our friend Odell - who coined the phrase STAY HUMBLE, STACK SATS.

He says it as a reminder to others but mostly himself.

For some reason, it's very difficult to stay focused on bitcoin.

It should be so easy.

All you have to do is literally NOTHING.

Buy or earn the bitcoin and hold onto it.

That's it!

If only it were that simple.

Sometimes we need a little reminder.

We have to remember why we are here.

We have the potential to make real change in the world if we get this right.

Satoshi discovered the hardest money that has ever existed.

A peer-to-peer electronic cash.

That is fair - because anyone on earth with an internet connection can join the network.

That is honest - because the entire ledger of transactions can be seen by anyone, dating back to January 3, 2009 when the first bitcoin block was mined.

Bitcoin was designed to separate money from State.

And the State is showing up in January.

Some states are already here.

That’s the bad news.

The good news is that they cannot print bitcoin.

But they will be buying.

They aren't buying DOGE.

They aren't buying XRP.

Or Ethereum.

Ha ha ha ha Ethereum.

They are buying BITCOIN.

And there's only so much bitcoin available.

What happens when a steep upward demand curve meets a fixed supply?

Well, we have never seen it before in human history.

So instead of chasing the quick gains, try to stay focused on bitcoin.

Because the only reason you'd chase quick gains is if you weren't happy with yourself.

And if you're not happy with yourself now, you won't be happy with yourself with more money in the bank.

This is a long game.

Bitcoin doesn't care what timeline you're on.

You know where this is going.

Don't rush it.

Every single sat is more valuable than you could ever imagine.

Protect them.

Have some patience.

Stay focused.

Remember why we are here.

@ 3bf0c63f:aefa459d

nix

Pra instalar o neuron fui forçado a baixar e instalar o nix. Não consegui me lembrar por que não estava usando até hoje aquele maravilhoso sistema de instalar pacotes desde a primeira vez que tentei, anos atrás.

Que sofrimento pra fazer funcionar com o fish, mas até que bem menos sofrimento que da outra vez. Tive que instalar um tal de fish-foreign-environment (usando o próprio nix!, já que a outra opção era o oh-my-fish ou qualquer outra porcaria dessas) e aí usá-lo para aplicar as definições de shell para bash direto no fish.

E aí lembrei também que o /nix/store fica cheio demais, o negócio instala tudo que existe neste mundo a partir do zero. É só para computadores muito ricos, mas vamos ver como vai ser. Estou gostando do neuron (veja, estou usando como diário), então vou ter que deixar o nix aí.

@ 3bf0c63f:aefa459d

nostr - Notes and Other Stuff Transmitted by Relays

The simplest open protocol that is able to create a censorship-resistant global "social" network once and for all.

It doesn't rely on any trusted central server, hence it is resilient; it is based on cryptographic keys and signatures, so it is tamperproof; it does not rely on P2P techniques, therefore it works.

Very short summary of how it works, if you don't plan to read anything else:

Everybody runs a client. It can be a native client, a web client, etc. To publish something, you write a post, sign it with your key and send it to multiple relays (servers hosted by someone else, or yourself). To get updates from other people, you ask multiple relays if they know anything about these other people. Anyone can run a relay. A relay is very simple and dumb. It does nothing besides accepting posts from some people and forwarding to others. Relays don't have to be trusted. Signatures are verified on the client side.

This is needed because other solutions are broken:

The problem with Twitter

• Twitter has ads;
• Twitter uses bizarre techniques to keep you addicted;
• Twitter doesn't show an actual historical feed from people you follow;
• Twitter bans people;
• Twitter shadowbans people.
• Twitter has a lot of spam.

The problem with Mastodon and similar programs

• User identities are attached to domain names controlled by third-parties;
• Server owners can ban you, just like Twitter; Server owners can also block other servers;
• Migration between servers is an afterthought and can only be accomplished if servers cooperate. It doesn't work in an adversarial environment (all followers are lost);
• There are no clear incentives to run servers, therefore they tend to be run by enthusiasts and people who want to have their name attached to a cool domain. Then, users are subject to the despotism of a single person, which is often worse than that of a big company like Twitter, and they can't migrate out;
• Since servers tend to be run amateurishly, they are often abandoned after a while — which is effectively the same as banning everybody;
• It doesn't make sense to have a ton of servers if updates from every server will have to be painfully pushed (and saved!) to a ton of other servers. This point is exacerbated by the fact that servers tend to exist in huge numbers, therefore more data has to be passed to more places more often;
• For the specific example of video sharing, ActivityPub enthusiasts realized it would be completely impossible to transmit video from server to server the way text notes are, so they decided to keep the video hosted only from the single instance where it was posted to, which is similar to the Nostr approach.

The problem with SSB (Secure Scuttlebutt)

• It doesn't have many problems. I think it's great. In fact, I was going to use it as a basis for this, but
• its protocol is too complicated because it wasn't thought about being an open protocol at all. It was just written in JavaScript in probably a quick way to solve a specific problem and grew from that, therefore it has weird and unnecessary quirks like signing a JSON string which must strictly follow the rules of ECMA-262 6th Edition;
• It insists on having a chain of updates from a single user, which feels unnecessary to me and something that adds bloat and rigidity to the thing — each server/user needs to store all the chain of posts to be sure the new one is valid. Why? (Maybe they have a good reason);
• It is not as simple as Nostr, as it was primarily made for P2P syncing, with "pubs" being an afterthought;
• Still, it may be worth considering using SSB instead of this custom protocol and just adapting it to the client-relay server model, because reusing a standard is always better than trying to get people in a new one.

The problem with other solutions that require everybody to run their own server

• They require everybody to run their own server;
• Sometimes people can still be censored in these because domain names can be censored.

How does Nostr work?

• There are two components: clients and relays. Each user runs a client. Anyone can run a relay.
• Every user is identified by a public key. Every post is signed. Every client validates these signatures.
• Clients fetch data from relays of their choice and publish data to other relays of their choice. A relay doesn't talk to another relay, only directly to users.
• For example, to "follow" someone a user just instructs their client to query the relays it knows for posts from that public key.
• On startup, a client queries data from all relays it knows for all users it follows (for example, all updates from the last day), then displays that data to the user chronologically.
• A "post" can contain any kind of structured data, but the most used ones are going to find their way into the standard so all clients and relays can handle them seamlessly.

How does it solve the problems the networks above can't?

• Users getting banned and servers being closed
• A relay can block a user from publishing anything there, but that has no effect on them as they can still publish to other relays. Since users are identified by a public key, they don't lose their identities and their follower base when they get banned.
• Instead of requiring users to manually type new relay addresses (although this should also be supported), whenever someone you're following posts a server recommendation, the client should automatically add that to the list of relays it will query.
• If someone is using a relay to publish their data but wants to migrate to another one, they can publish a server recommendation to that previous relay and go;
• If someone gets banned from many relays such that they can't get their server recommendations broadcasted, they may still let some close friends know through other means with which relay they are publishing now. Then, these close friends can publish server recommendations to that new server, and slowly, the old follower base of the banned user will begin finding their posts again from the new relay.

• All of the above is valid too for when a relay ceases its operations.

• Censorship-resistance

• Each user can publish their updates to any number of relays.

• A relay can charge a fee (the negotiation of that fee is outside of the protocol for now) from users to publish there, which ensures censorship-resistance (there will always be some Russian server willing to take your money in exchange for serving your posts).

• Spam

• If spam is a concern for a relay, it can require payment for publication or some other form of authentication, such as an email address or phone, and associate these internally with a pubkey that then gets to publish to that relay — or other anti-spam techniques, like hashcash or captchas. If a relay is being used as a spam vector, it can easily be unlisted by clients, which can continue to fetch updates from other relays.

• Data storage

• For the network to stay healthy, there is no need for hundreds of active relays. In fact, it can work just fine with just a handful, given the fact that new relays can be created and spread through the network easily in case the existing relays start misbehaving. Therefore, the amount of data storage required, in general, is relatively less than Mastodon or similar software.

• Or considering a different outcome: one in which there exist hundreds of niche relays run by amateurs, each relaying updates from a small group of users. The architecture scales just as well: data is sent from users to a single server, and from that server directly to the users who will consume that. It doesn't have to be stored by anyone else. In this situation, it is not a big burden for any single server to process updates from others, and having amateur servers is not a problem.

• Video and other heavy content

• It's easy for a relay to reject large content, or to charge for accepting and hosting large content. When information and incentives are clear, it's easy for the market forces to solve the problem.

• Techniques to trick the user

• Each client can decide how to best show posts to users, so there is always the option of just consuming what you want in the manner you want — from using an AI to decide the order of the updates you'll see to just reading them in chronological order.

FAQ

• This is very simple. Why hasn't anyone done it before?

I don't know, but I imagine it has to do with the fact that people making social networks are either companies wanting to make money or P2P activists who want to make a thing completely without servers. They both fail to see the specific mix of both worlds that Nostr uses.

• How do I find people to follow?

First, you must know them and get their public key somehow, either by asking or by seeing it referenced somewhere. Once you're inside a Nostr social network you'll be able to see them interacting with other people and then you can also start following and interacting with these others.

• How do I find relays? What happens if I'm not connected to the same relays someone else is?

You won't be able to communicate with that person. But there are hints on events that can be used so that your client software (or you, manually) knows how to connect to the other person's relay and interact with them. There are other ideas on how to solve this too in the future but we can't ever promise perfect reachability, no protocol can.

• Can I know how many people are following me?

No, but you can get some estimates if relays cooperate in an extra-protocol way.

• What incentive is there for people to run relays?

The question is misleading. It assumes that relays are free dumb pipes that exist such that people can move data around through them. In this case yes, the incentives would not exist. This in fact could be said of DHT nodes in all other p2p network stacks: what incentive is there for people to run DHT nodes?

• Nostr enables you to move between server relays or use multiple relays but if these relays are just on AWS or Azure what’s the difference?

There are literally thousands of VPS providers scattered all around the globe today, there is not only AWS or Azure. AWS or Azure are exactly the providers used by single centralized service providers that need a lot of scale, and even then not just these two. For smaller relay servers any VPS will do the job very well.

@ f7524ebe:58863422

Photo by Jainath Ponnala on Unsplash

About a year ago I decided to setup a blog on a digital ocean server. I mostly did this to get back into the dev ops world since I mostly live as a programmer. I know these skillsets are somewhat related, but I've mostly focused on building coding skills that last 8 years with some occasional dabbling in docker. In this post I will walk you through how I configured my web server that runs a next.js blog.

Some elements that make my setup really cool and interesting:

• I setup a build system that automatically triggers when I push new code to GitHub on a raspberry pi which hosts a local container registry.
• I setup a local container registry on my Raspberry PI
• I setup dynamic DNS so that my digital ocean server can talk to my raspberry pi even though my IP address is not static. I'll walk you through how to do this.
• I setup my digital ocean server to automatically pull the latest docker image when my container registry updates using watch tower
• I setup a self hosted analytics system that's way more simple than google analytics, called Plausable
• My blog is also somewhat cool intrinsically since it parses markdown into static pages that load very fast, but I'll link you to my inspiration rather than writing a whole writeup on this.

Github Actions and simple CI

I will start with my automated build system and my inspiration for it. I have used a few different CI systems over the years, mostly Gitlab CI, which is honestly awesome, but it's not only OP for this project, but I'm also not using gitlab to host the code, so I figured why not play with GitHub web-hooks since all I really need is a way to trigger a docker build when new code is pushed.

How does this work?

so basically you will need to write a simple web server for this. I'm using Python Flask for this. This server just needs to handle a single route which you set. And this route will get called by GitHub whenever you push code to the project you configured it for. All I do in this route is validate that GitHub was in fact the caller.. and then I call a local script which setups the docker build.

This is what my CI server code looks like:

```py from flask import Flask, request, abort import hmac import subprocess

app = Flask(name) GITHUB_SECRET = ''

@app.route('/blog-webhook', methods=['POST']) def webhook(): signature = request.headers.get('X-Hub-Signature') sha, signature = signature.split('=') # we create a digest using hmac to validate that github was the caller # we set a shared secret which is stored in GITHUB_SECRET. If our secrets validate # then we continue.. otherwise we abort with a 403 mac = hmac.new(bytearray(GITHUB_SECRET , 'ascii'), msg=request.data, digestmod='sha1') if not hmac.compare_digest(mac.hexdigest(), signature): abort(403)

# call our local shell script which pulls our git and builds a new docker version.
subprocess.call(['./blog-deploy.sh'])
return 'OK', 200

if name == 'main': app.run(host="0.0.0.0", port=5000) ```

Note we could just run this from a shell, but that would only run as long as your shell is open, so we need a way to have this server remain up. The advanced way to do this is using uWSGI which I think acts as a revers proxy (someone correct me if I'm wrong). But in our case we are going to do this the simple way which is just creating a service which will auto restart when our system restarts. we'll use systemd

sh sudo vi /etc/systemd/system/my_python_service.service

```sh [Unit] Description=My Python Script Service After=network.target

[Service] Type=simple User=YOUR_USERNAME WorkingDirectory=/path/to/your/script ExecStart=/usr/bin/python3 /path/to/your/script.py Restart=always RestartSec=10

[Install] WantedBy=multi-user.target ```

• Description: A brief description of your service.
• After: This ensures the network is available before starting your script.
• Type: The type of service. simple is commonly used for services that don't fork.
• User: The user that will run the script.
• WorkingDirectory: Directory where your script resides.
• ExecStart: Command to start your service.
• Restart: This will restart your service if it exits for any reason.
• RestartSec: Time to sleep before restarting the service.

Once you've saved and exited the editor, you'll need to inform systemd of the new service:

sh sudo systemctl daemon-reload

Enable and Start Your Service

Now, enable your service so that it starts on boot:

sh sudo systemctl enable my_python_service.service

And start it:

sh sudo systemctl start my_python_script.service

Check the Status of Your Service

You can check the status of your service with:

sh sudo systemctl status my_python_script.service

now that we have a service for our hook we have assurance that this server, assuming it's stable, will remain up. Because, in my case, this server is running on my Raspberry Pi on my home internet.. I have to setup port forwarding to this web server since it's running behind NAT.

A Quick Asside on NAT

I know that thee's probably a verity of experience levels to my readers of this article. feel free to skip over this if you already know about NAT. NAT stands for Network Address Translation. Basically all routers use NAT that connect to IPv4. The reason for this is because there are only around 4 billion IP v4 address and there are significantly more than that number of devices on the internet. Our local network can have lots of devices on it, but to the external internet it looks like all of these devices are one IP. So what happens is whenever a service needs to conect to a specific computer on your network... you have to tell your router to forward that specific traffic to a specific computer on a specific port. This is called port forwarding. So in our case we need to forward all traffic on port 5000 to our Raspberry Pi. Note that port forwarding can open your network up to attack and vulnerabilities, so be cautious when you do this and seek advice from others.

What Does Our Deploy Script Look Like?

```sh

!/bin/bash

cd /route/to/your/blog/repo

Fetch the latest tags and commits from the repo

git fetch --all --tags

Checkout the commit associated with the latest tag

latest_tag=$(git describe --tags $(git rev-list --tags --max-count=1)) git checkout $latest_tag

Get the latest Git tag (redundant but kept for clarity)

git_tag=$(git describe --tags)

If there's no tag for the current commit, you might want to handle this case.

For this example, I'll default to a "latest" string. You can adjust as needed.

if [ -z "$git_tag" ]; then git_tag="latest" fi

Build our docker container

docker buildx build --platform linux/amd64 -t localhost:5001/my-blog:$git_tag -t localhost:5001/my-blog:latest . --push ```

So this above script is pretty cool and far from perfect.. but it essentally pulls our git repo. It assignes a var git_tag with the latest git tag. And it uses docker buildx to build an x64 image on our arm64 Rasberry Pi, since my digital ocean runs x64 archotecture. Note when building cross archotectures like this it massively slows down the build speed since we are essentally emulating an x64 machine. Here's a resource to get buildx working on your ubuntu rasberry pi working since this is not the standard docker build.

Lets Setup Our Container Registry

So I wanted to setup a local docker container registry that my Digital Ocean server can request containers from. This is both cool, and saves money, since I don't want to spend $6 a month on a docker account. So here's the docker compose file to self host on our Rasperry Pi... or really an server you choose that runs docker:

yaml services: registry: image: registry:2 ports: - '5001:5000' environment: REGISTRY_STORAGE_FILESYSTEM_ROOTDIRECTORY: /data volumes: - ./data:/data

Note that you need to make a directory callded data in the same folder as your docker-compose.yml which will persist your docker images.

Let's quicly lock down our server

This is by no means an exhostive list of security mesures, but with all things secruity it's a risk assesment risk benifit analysis. In my case if someone pops my rasperry pi it's not the end of the world. Because of this we are not going to go to the lengths we could in another context.

Let's setup our firewall rules using UFW

UFW is a pretty simple and strightforward utility on ubuntu (and maybe other linux distros) that allows us to set up rules for what ports are open and what ones are not. Note that the ports that we open up are essentally the attack space of our server. Ideally we want as few open as possible. In our case we need to open up port 5000 to the greater internet for the GitHub webhook to be able to connec to our server. We also need to open up our docker repository port, but this one we can lock down to a spicific IP since our digital ocean server should be the only thing connecting to this service.

first we need to run this command to see if ufw is enabled.

sh sudo ufw status

If it's not active, you can enable it with:

sh sudo ufw enable

You'll probably want to keep SSH open unless you are directly phisically connected to your Rasperry Pi

If you port forward to this port.. you may want to either lock this to only allow connecton from a spicific IP or at the very least only allow connections from an SSH key, since this definetly presents a big security vulnerability. I don't expose my PI on port 22 on the wider internet, since I'm only really working on this while I'm at home.

sh sudo ufw allow 22/tcp

Let's allow connection to port 5001 (our docker container registry) only from a spicific IP

sh sudo ufw allow from [SPECIFIC_IP] to any port 5001 proto tcp

Now let's open our web hook server up to the whole internet. We don't need to open UDP since this will only work with TCP for right now.

sh sudo ufw allow 5000/tcp

Now let's reload our ufw to enable these rules:

sh sudo ufw reload

We can now validate that our rules where applied properly by running:

sh sudo ufw status

And done. You have now sucessfully locked your Pi's firewall down. There's a lot more you can do to harden your sever to attack, and this is really the start, but this is a very important step. Obviously feel free to add more open ports as needed.

Now lets talk about DNS and DDNS

So if you are like me.. you don't have a static IPv4 address at home, which means that hosting any data accessible to the wider internet is difficult. That is until you realize what DNS does. DNS (Domain Name System) translates human readable addresses... like google.com into an IP address either IPv4 or v6. What's so powerful about this is it means you can have a dynamic IP on a standard ISP internet service and still be able to host a service that talks to the outer internet. The way this works is surprisingly simple: You pay for a domain name through whatever domain registrar you want... doesn't really matter. Then you can use a service like Digital Ocean (or certainly others) to manage your DNS A record. Your DNS A record is simply a record that store the IP address you'd like to associate with your domain or sub domain name. For instance awhb.dev currently points to -> 143.110.153.56 so this IP is stored in my A record. So whenever a computer requests awhb.dev the computer requests the A record from the DNS server which then sends back 143.110.153.56. There's certainly more complexity to DNS and how it works, but we'll let this high level conceptual understand suffice for our needs right now.

With this understanding in mind we can now describe how Dynamic DNS works. All dynamic DNS does is it tells your DNS server (in my case Digital Ocean) what your current public IP address is and assoceates that with a domain or subdomain name makeing it so that your home IP address is assoceated by a domain name. This service has to do this check and update loop repeatedly because your ISP can change your IP address whenver they want... so to keep your server reliable this process should run at least every 10 minutes. that way at most your server will be innaccassable for at most 10 minutes. What's awesome is this Dynamic DNS can be configured extremely easy using this insanely awesome project.

If you're in the same situation as I am, you likely don't have a static IPv4 address at home. This presents a challenge when you're trying to host data that you want accessible to the wider internet. But once you understand the function and power of the Domain Name System (DNS), this challenge becomes much more manageable.

The Domain Name System, or DNS, serves as the internet's phonebook. It translates human-readable web addresses, such as google.com, into numerical IP addresses, which can be either IPv4 or IPv6. The significance of this system is profound: even if you have a constantly changing or dynamic IP address provided by a standard internet service provider (ISP), you can still host a service and make it accessible to the broader internet.

Here's how it works in basic terms:

1. Purchase a Domain Name: First, you'll need a domain name, which you can buy from any domain registrar. The specific registrar you choose isn't crucial.
2. Managing DNS Records: Services like Digital Ocean (among others) allow you to manage your domain's DNS records, particularly the 'A record'. This A record is essentially a log that stores the IP address you want to link with your domain or sub-domain name. As an example, my domain awhb.dev currently maps to the IP address 143.110.153.56. (pleas don't hack me 😱) This IP is what's listed in my domain's A record.
3. DNS Query Process: Whenever someone tries to access awhb.dev, their computer doesn't initially know where to go. It asks a DNS server for the corresponding A record. The DNS server then replies with the stored IP address (in this case, 143.110.153.56), and the computer can then communicate with the server at that IP address. This is a simplification, but it captures the essence of how DNS facilitates web communication.

Now, with this foundation in DNS, let's explore Dynamic DNS (DDNS) and its relevance to those with dynamic IPs.

Dynamic DNS is a service that automatically updates your DNS server with your current public IP address. It keeps your domain name (like awhb.dev) consistently linked to your changing home IP address. This is crucial because ISPs can change your IP address without notice. For reliability, the DDNS service regularly checks and updates the IP address associated with your domain. Ideally, this check-update cycle should occur every 10 minutes to ensure that, even if your IP changes, your server will at most be inaccessible for a brief period.

Setting up Dynamic DNS might sound complicated, but there are tools available that make the process straightforward. For instance, there's an excellent project on GitHub called ddns-updater that streamlines the setup. All this service is doing behind the scenes is periodically checking what your current public IP is. It saves what it last was in a local JSON file and if it changes compared to the last time it checked it updates your DNS A record for your domain or sub domain.

First thing's first.. let's go to our network tab

Next we need to either add a top level domain or a dub domain to associeate our DDNS IP to.

Next we need an API key in order to update our record from our Rasberry Pi

after you've generated an API key be sure to keep it safe, because this has access to your Digital Ocean account. Someone could do a lot of damage to your account with this key.

next we need to create a config.json file where we'll store our config for ddns-updater

json { "settings": [ { "provider": "digitalocean", "domain": "example.com", "host": "sub", "token": "my-digital-ocean-key", "ip_version": "ipv4" } ] }

so in the above example let's say you're trying to update the A record for sub.example.com if you're are trying to just update example.com I think host would be @ be sure to review the docs for your spicific use case.

so we need to store the above config.json file in a folder which I'll call data.

to start our docker servcie to start this service we run:

sh docker run -d -p 8000:8000/tcp -v "$(pwd)"/data:/updater/data qmcgaw/ddns-updater

we are assuming your data dicrectory with config.json is in a folder called data in your current working directory. we are also running this service on port 8000 which has a web UI. Feel free to not expose the web UI. I don't really use it myself, but it does give you status updates on your DDNS records.

I probably have more to go over, but I'll save that for a future post since this one is getting long already.

@ 2fb77d26:c47a6ee1

»Worte interessieren nur da, wo sie zu Taten führen«, notierte ich vor knapp 15 Jahren für einen meiner Texte. Gelten sollte diese Prämisse vor allem für Wahlversprechen. Doch die Geschichte zeigt, dass von den vollmundigen Zusicherungen eines Wahlkampfes nach Amtsantritt kaum etwas umgesetzt wird. Davon muss wohl auch in Bezug auf die US-Präsidentschaftswahl 2024 ausgegangen werden. Auch wenn viele immer noch auf eine »Trockenlegung des Sumpfes« hoffen. Ein Überblick.

Original mit Quellen (VÖ: 14.11.2024): https://www.regenauer.press/trump-reloaded

Unterhaltsam ist es bisweilen. Keine Frage. Ist ja auch Politainment. Fake. Eine Show. Eine ziemlich kostenintensive dazu. Und einer gewissen Schadenfreude kann man sich in der Tat kaum verwehren, betrachtet man die irrationalen Reaktionen, Nervenzusammenbrüche und infantilen Ausraster der Wahlverlierer – dem Lager, das in puncto Covid, Klimaschutz und Genderpolitik nie einen Hehl aus seinen totalitären Anwandlungen machte. Leider wird aus Spaß aber schnell bitterer ernst. So tötete ein psychisch labiler Mann aus Minnesota am Tag nach Donald Trumps Wahlsieg zuerst seine ehemalige Partnerin und deren Kind, dann seine Frau und den eigenen Sohn, und anschließend sich selbst. Während die Polizei bislang kein offizielles Tatmotiv kommuniziert, implizieren Social-Media-Beiträge des 46-jährigen Demokraten, dass seine Angst vor den Republikanern, beziehungsweise dem Einzug Trumps ins Weiße Haus, durchaus Auslöser des Amoklaufes sein könnten.

Während die weithin von »Wokeness« beseelten Demokraten ihre Wunden lecken, zelebrieren das konservative Lager der Republikaner und die MAGA-Apologeten einen vermeintlich historischen Sieg. Trump selbst verspricht bei seiner Siegesrede ein »goldenes Zeitalter«. Dass er jetzt »alles in Ordnung bringen« werde. Die Krypto-Branche wähnt sich im Aufwind. Der Bitcoin-Kurs steigt. Dow Jones, S&P 500 und Nasdaq erreichen neue Allzeithochs. In Iowa soll 2026 eine Art Weltausstellung stattfinden, um das 250-jährige Jubiläum Amerikas zu feiern. Bis zum Beginn der Feierlichkeiten sollen Elon Musk und Vivek Ramaswamy die Ausgaben des Staatsapparats um zwei Billionen US-Dollar reduziert haben. Natürlich ist Trump auch die letzte Chance der USA, um endlich die Grenze zu Mexiko zu sichern. Und von Robert F. Kennedy Jr. erwartet man, die Vereinigten Staaten im Rahmen eines MAHA-Programmes – »Make America Healthy Again« – wieder gesund zu machen.

Im Überschwang der Euphorie – oder Frust der Niederlage – fällt gerne unter den Tisch, dass Wähler in Amerika den Präsidenten gemäß Verfassung gar nicht direkt wählen dürfen, weil das für die Wahl des Präsidenten zuständige Electoral College im Prinzip völlig unabhängig vom eigentlichen Wahlausgang entscheiden kann. Die Wahlmänner könnten auch jeden anderen zum Staatsoberhaupt ernennen. Ob das Volk ihn will, oder er überhaupt angetreten ist, spielt rein formal gar keine Rolle. Bei genauerer Betrachtung also nicht unbedingt Demokratie in Reinform. Egal. Schnöde Details. »Trust the plan. Wir haben gewonnen. Geschichte wurde geschrieben« – und so weiter.

Die NATO gibt unterdes zu Protokoll, dass sich an ihrer geostrategischen Agenda »nichts ändern wird, egal, wer die Wahl gewinnt«, weil das »im Interesse der Vereinigten Staaten liege«. Vielleicht hat das US-Militär ja deshalb nur wenige Stunden nach Schließung der Wahllokale eine Minuteman III Interkontinentalrakete zu Testzwecken abgefeuert. Eine Langstreckenwaffe, die drei einzeln steuerbare Atomsprengköpfe transportieren kann.

Auch das Ron Paul Institute rechnet nicht mit grundlegenden Veränderungen und führt diverse Bereiche an, die unabhängig von der Besetzung des Oval Office ein Problem bleiben werden: Kontinuierliche Unterminierung der Verfassung, Krieg gegen die eigene Bevölkerung, Tiefenstaat, Washingtons ausufernde, verstetigte Notstandsermächtigungen, Militärinterventionen in aller Welt, maßlose Korruption und staatliche Tyrannei. Klingt nicht wirklich nach einem goldenen Zeitalter.

Die Reaktionen rund um die US-Wahl – ob positiv oder negativ, ob vor Ort oder im Rest der Welt – veranschaulichen jedenfalls, dass Wahlen Emotionsamplituden auslösen, die in keiner Relation zu dem stehen, was ein Präsident, Kanzler oder Premierminister tatsächlich bewirken kann. Sonst hätte Trump den tiefenstaatlichen »Sumpf« ja schon in seiner ersten Amtsperiode trockenlegen können.

Während die Demokraten also darauf warten, dass die USA ab dem 20. Januar 2025 zur Diktatur verkommen und auf Demonstrationen gegen das Resultat der US-Variante von Demokratie protestieren, fiebern die anderen dem Anbruch eines goldenen Zeitalters entgegen.

Genug Zeit also, den 47. Heilsbringer im Oval Office noch einmal genauer unter die Lupe zu nehmen. Denn auch wenn Donald Trump sich fraglos darauf versteht, zu unterhalten und große Reden von Freiheit und staatlicher Souveränität, von Weltfrieden und Prosperität zu schwingen, sprechen seine Taten zumeist eine ganz andere Sprache.

Fangen wir vorne an: Dank der Zurückstellung vom Wehrdienst konnte Donald Trump bereits 1968 bei Trump Management einsteigen, dem Unternehmen seines Vaters Fred C. Trump, der vor allem mit staatlichen geförderten Wohnungsbauprojekten – »Federal Housing Projects«, heute die Ghettos von New York – zum Multimillionär geworden war. 1971 übernahm Donald im Alter von 25 Jahren die Geschäftsleitung der Firma. Bei Interviews prahlt er bis heute gerne damit, dass sein Vater ihm in jungen Jahren »lediglich einen kleinen Kredit« über eine Million Dollar als Startkapital gewährte. Daraus habe er dann als gewiefter Unternehmer ein Immobilienimperium erschaffen. Dieser Darstellung widerspricht ein Artikel der New York Times (NYT) vom 2. Oktober 2018, der basierend auf Steuer- und Buchhaltungsunterlagen kalkuliert, dass Donald Trump gut 60 Millionen US-Dollar an Krediten erhielt.

»Im Alter von drei Jahren verdiente Trump am Imperium seines Vaters 200.000 Dollar jährlich. Mit acht Jahren war er Millionär. Mit 17 Jahren überließ ihm sein Vater einen Teilbesitz an einem Mehrfamilienhaus mit 52 Wohneinheiten. Kurz nachdem Trump das College abgeschlossen hatte, erhielt er von seinem Vater jährlich umgerechnet eine Million Dollar. Über die Jahre stiegen die jährlichen Schenkungen. In seinen Vierzigern und Fünfzigern lagen sie bei über fünf Millionen Dollar jährlich.«

Als Fred Trump im Juni 1999 verstarb, hatte der trickreiche Unternehmer und Steuerallergiker seinem Sprössling nach Berechnungen der NYT insgesamt 413 Millionen Dollar überschrieben. Selbst wenn New York Times, Associated Press und Co. im Jahr 2018 mit diesen Artikeln fraglos Stimmung gegen Trump machen wollten, kann dessen selbstbeweihräuchernde Darstellung augenscheinlich nicht ganz der Wahrheit entsprechen.

Aber: Er hatte Erfolg. Und das war in der Immobilienbranche des New Yorks der 70er und 80er nicht selbstverständlich. Denn sie wurde von der Mafia dominiert. Von den »Fünf Familien«. Wer nicht den Schutz von »Fat Tony« Salerno, Carmine Galante, Paul Castellano et al. genoss, den Bossen der Genovese-, Bonanno- und Gambino-Familien, hatte schlechte Karten. Das wusste auch Donald Trump. Also macht er Gebrauch von den exzellenten Kontakten seines Freundes, Mentors und Anwalts Roy Cohn, der nicht nur enge Verbindungen zum langjährigen FBI-Chef J. Edgar Hoover pflegte, sondern unter anderem auch Nancy Reagan, die Besitzer des Studio 54, Andy Warhol, die katholische Erzdiözese und die Führungsetage der fünf Mafia-Familien als Anwalt vertrat. Nicht umsonst ist Cohn ein zentraler Charakter in Whitney Webbs Zweiteiler »One Nation under Blackmail«. Den Kontakt zu Cohn, einer Schlüsselfigur für die Zusammenarbeit von Oberschicht und Unterwelt, suchte Donald Trump bereits 1973, als die US-Regierung ein Unternehmen seines Vaters verklagte. Er sollte bestehen bleiben, bis Cohn im August 1986 seiner AIDS-Erkrankung erlag.

Cohns Verbindungen zu Politik, Mafia und Jimmy Hoffas teilkrimineller Teamster-Gewerkschaft sorgten dafür, dass Trump in der Stadt Fuß fassen und sein Geschäft ausbauen konnte. Im Gegenzug war er gezwungen, überteuerte Baumaterialien von Fat Tonys Tarnfirmen zu beziehen. Nach Angaben eines ehemaligen Mitarbeiters von Cohn trafen sich Trump und Salerno in dessen Stadthaus in Manhattan. Trump will sich an ein solches Meeting allerdings nicht erinnern können – obwohl Salerno 1988 unter anderem wegen Erpressung in Höhe von acht Millionen Dollar im Rahmen eines Trump-Bauprojektes rechtskräftig verurteilt wurde. Die Wahrheit kennt wohl nur Trump selbst. Denn Cohn und Fat Tony sind tot.

Sicher ist: Die Geschäftsbeziehungen zwischen Donald Trump und Firmen des organisierten Verbrechens waren intensiver als seinerzeit üblich. Auf Tonbändern des FBI und der US-Staatsanwaltschaft, damals geleitet vom späteren Trump-Anwalt Rudy Giuliani, die beim Abhören von Mafia-Fahrzeugen und -Etablissements entstanden, ist mehrfach von Trump-Projekten die Rede. Donald passte sich dem Geschäftsgebaren seines Umfelds an. Den opportunistischen, skrupellosen, steuervermeidenden Praktiken seines Vaters – und dem von organisierter Kriminalität durchzogenen Filz des Ostküsten-Establishments.

Donald Trumps Frühphase, seine Geschäfte und Geschäftspartner sind also nicht unbedingt ein Paradebeispiel in Sachen Arbeitsethos. Im Vergleich zu seinen späteren Kontakten wirken seine Buddys der 70er und 80er aber fast noch sympathisch – denn Steuern sind Raub und die Mafia pflegt, im Gegensatz zu Regierungen, Militär und Geheimdiensten, zumindest einen Ehrenkodex.

Die 90er begannen für Trump mit finanziellen Turbulenzen. Diverse Bau- und Casino-Projekte liefen nicht wie geplant. Investments warfen nicht den erwarteten Gewinn ab und die Schulden häuften sich bis zur Zahlungsunfähigkeit. In der Öffentlichkeit gab er jedoch weiterhin den erfolgreichen Entrepreneur. 1995 gründe Trump, immer noch bis über beide Ohren verschuldet, eine Aktiengesellschaft und ging an die Börse. Durch diesen Schritt landete er nach 1989 erstmals wieder auf der Forbes-Liste der reichsten Amerikaner. Da die neue AG aber aufgrund der Altlasten mit 1,7 Milliarden Dollar verschuldet war, fiel ihr Börsenkurs zwischen 1996 und 2005 von 35 Dollar auf 17 Cent. Dann wurde der Handel ausgesetzt. Trump bezog aber noch bis 2009 Vergütungen aus der Gesellschaft in Höhe von 44 Millionen Dollar.

Parallel zu diesen fragwürdigen Umtrieben zu Lasten von Anlegern und Geschäftspartnern mauserte sich Donald Trump zum Society-Phänomen. Ob The Apprentice, WrestleMania, The Fresh Prince of Bel-Air, Talkshows oder soziale Anlässe aller Art – Trump war überall, wo sich Öffentlichkeit für Trump generieren ließ. Mit Erfolg. Überschuldung, Zahlungsunfähigkeit, Mafia-Kontakte, Betrugsvorwürfe und juristische Probleme verblassten im omnipräsenten Scheinwerferlicht.

Weniger glamourös dagegen ist Donald Trumps Beziehung zu einem der verachtenswertesten Menschen der jüngeren Vergangenheit – Jeffrey Epstein. Denn während Trump lange Jahre leugnete, überhaupt mit Epstein in Kontakt gestanden zu haben, belegen unlängst veröffentlichte Audio-Mitschnitte, dass er sehr wohl eine Beziehung mit dem verurteilten Sexualstraftäter, Pädophilen, Menschenhändler und Doppelagenten pflegte. Eine sehr enge.

Jeffrey Epstein bezeichnet sich im Zuge der Aufnahmen als »Trumps engsten Freund«. Für über zehn Jahre. Man besuchte die gleichen Partys, kannte die gleichen Leute. Kaum verwunderlich. Epstein war bestens mit dem »Who is Who« des Establishments vernetzt – auch mit dem zwielichtigen Roy Cohn. Es liegt nahe, dass über diesen der Erstkontakt zustande kam. Epstein erpresste elitäre Zirkel in aller Welt mit heimlich aufgenommenen Videos arrangierter Sex-Eskapaden. Die Opfer: Meist Minderjährige. Manche erst acht Jahre alt. Wer Macht und Einfluss ausüben und sichern wollte, nahm seine Dienste in Anspruch. Das wusste wohl jeder seiner engeren Kontakte. Trotzdem sprach Donald Trump von einem »tollen Typen, den er seit 15 Jahren kenne«, als er in einem Interview mit dem New York Magazine 2002 nach seiner Meinung zu Epstein und der gemeinsamen Vorliebe für junge Frauen gefragt wurde. Darüber hinaus flog Donald Trump mindestens sieben Mal mit Jeffrey Epsteins Privatjet, besser bekannt als »Lolita Express«.

Elon Musk, über dessen hinter Imagedesign verborgene Nähe zu Militär, Geheimdiensten, Big Pharma und Transhumanisten ich bereits im Oktober 2022 ausführlich berichtet habe, hatte ebenfalls Verbindungen zu Jeffrey Epstein, wie ein ausführliches Dossier von Johnny Vedmore belegt. Ganz zu schweigen von Musks Forderungen nach CO2-Steuern gegen den Klimawandel oder seinen offenen Plädoyers für Technokratie, einem faschistischen Herrschaftsmodell, das schon sein Großvater Joshua N. Haldemann in leitender Position vertrat. Man kann sich also ausmalen, was unter einem Effizienzprogramm unter Musks Ägide zu erwarten ist – Tech-Faschismus, getarnt als libertäre Progressivität.

Auch RFK Jr. flog zwei Mal mit dem »Lolita Express«, gibt aber an, in Begleitung von Frau und Kindern gereist zu sein – während er gleichzeitig erklärt, die beiden Flüge seien nur zustande gekommen, weil seine »Frau irgendeine Art von Beziehung mit Ghislaine Maxwell hatte«. Was für eine Beziehung das war, beschreibt RFK Jr. nicht. Dabei wären die Hintergründe dieser Beziehung durchaus relevant für die Bewertung seiner Verbindung zum Epstein-Netzwerk. Denn Maxwell, deren Elternhaus für CIA und Mossad tätig war, war seit 1991 Epsteins engste Mitarbeiterin. Sie führte ihm minderjährige Mädchen zu. Phantombilder legen nahe, dass sie auch am Verschwinden, beziehungsweise Tod, von Madeleine McCann beteiligt sein könnte. Nach dem als Suizid vermarkteten Mord an Epstein im August 2019 tauchte Maxwell ab. Aufenthaltsort unbekannt. Erst am 2. Juli 2020 konnte das FBI sie festnehmen. Im Dezember 2021 wurde Maxwell wegen Unterstützung von Epsteins Pädo-Business zu 20 Jahren Haft verurteilt.

Man darf gespannt sein, ob Epsteins unter Verschluss gehaltene Kundenliste jemals ans Licht kommt. Wenn Trump nichts zu verbergen hat, seine dahingehenden Ankündigungen wahr machen und den Sumpf trockenlegen will, könnte er damit ordentlich vorlegen. Entsprechende Forderungen stehen ja bereits im Raum.

Bei einer Pressekonferenz im Weißen Haus am 21. Juli 2020 verkündete er allerdings noch, Maxwell mehrfach getroffen zu haben und wünschte ihr »wirklich alles Gute«.

Wahrscheinlich ist eine Offenlegung der Kundenliste aber nicht. Denn auch Trumps neuer Generalstaatsanwalt, Matt Gaetz, gegen den 2020 wegen sexueller Kontakte zu einem minderjährigen Mädchen ermittelt wurde, sprach sich in der Vergangenheit explizit gegen eine neuerliche Überprüfung des Falls Epstein aus. Er behauptete außerdem, Epstein sei von ausländischen Geheimdiensten, nicht vom US-Tiefenstaat ermordet worden. Sein Wahlkampf-Team nutzte denn auch die gleiche Anwaltskanzlei wie Jeffrey Epstein. Und ein enger Vertrauter von Gaetz warb intensiv dafür, Ghislaine Maxwell aus der Haft zu entlassen. Seit 2021 ist Gaetz mit der Schwester des Peter Thiel-Protegés Palmer Lucky verheiratet, der mit seiner Firma Anduril für das High-Tech-Überwachungssystem an der mexikanischen Grenze verantwortlich zeichnet, KI-Waffenprogramme entwickelt und für das US-Verteidigungsministerium an Project Maven arbeitet. Sumpf, soweit das Auge reicht. Trockenzulegen gäbe es da also einiges.

Warten wir’s ab – und werfen unterdes einen Blick auf Donald Trumps erste Amtszeit. Denn auch diesbezüglich sagen Taten mehr als Worte.

Während Trump sich derzeit als Gegner der Weltgesundheitsorganisation (WHO) geriert, war er als 45. US-Präsident mit »Operation Warp Speed« (OWS) für eine militarisierte Impf-Kampagne der Superlative verantwortlich, die 300 Millionen Dosen einer experimentellen mRNA-Gentherapie unters Volk bringen und den Herstellern mindestens 18 Milliarden Dollar in die Kasse spülen sollte. Anthony Fauci, den Trump heute gerne öffentlich diffamiert, kümmerte sich für ihn um den Rollout der Injektionen und die damit verbundene Nudging-Propaganda. Für seine Verdienste im Rahmen von OWS erhielt Fauci von Trump am letzten Tag seiner Präsidentschaft eine Auszeichnung, wie eine Pressemitteilung im Archiv des Weißen Hauses belegt. Während Trump sich in den letzten Wochen medienwirksam von Fauci distanzierte und abstritt, diese Auszeichnung abgesegnet zu haben, verweisen Mitarbeiter des Weißen Hauses darauf, dass eine solche Auszeichnung gemäß Protokoll nur dann verliehen wird, wenn der Präsident sie persönlich autorisiert. Fragt sich, wer lügt.

Daneben genehmigte Trump im Februar 2020 eine Zahlung von 1,16 Milliarden US-Dollar an GAVI, die Impfallianz von WHO, Weltbank, UNICEF und der Bill & Melinda Gates Stiftung. Der Betrag sollte GAVI binnen drei Jahren über die CIA-Tarnfirma USAID ausbezahlt werden. Ungeachtet aller Gegenanzeigen, Nebenwirkungen und Kollateralschäden durch Lockdowns und partielle Impfpflichten pries Donald Trump OWS stets als durchschlagenden Erfolg. Erst nach der Ankündigung, mit Kennedy kollaborieren zu wollen, hielt er sich mit dem Eigenlob zurück. Dass er sich in den Wochen vor dem Wahlsieg neu positionierte, dürfte also reine Wahlkampfstrategie gewesen sein.

Wenn Trump nun in Aussicht stellt, Impfungen verbieten und Amerika gemeinsam mit RFK Jr. gesund machen zu wollen, ist das in Anbetracht der immensen Marktmacht von Big Pharma kaum als realistisch zu bewerten. Siehe Briefing des Roosevelt Institute vom 22. Mai 2019. Titel: »Kapern der Regierung – Wie Big Pharma die Gesetzgebung übernahm«. In Trumps Team wurden in den letzten Wochen bereits Stimmen laut, die forderten, sich von RFK Jr. zu distanzieren. Während Kennedy in einem Interview vom 28. Oktober verkündete, Trump habe ihm den »Chefposten der Gesundheitsbehörde HHS versprochen«, stellte Howard Lutnik, Vize-Vorsitzender von Trumps Transition-Team, am 30. Oktober bei CNN fest, dass dies »natürlich nicht der Fall sein werde« und man Kennedy lediglich Zugriff auf Daten gewähren wolle. Am 14. November gab Donald Trump dann allerdings bekannt, RFK Jr. tatsächlich zum Chef der HHS machen zu wollen. Die Nominierung muss aber noch vom Senat bestätigt werden. Und bis Januar kann noch einiges passieren. Die Vergangenheit lässt jedenfalls darauf schließen, dass weder Big Pharma noch WHO oder GAVI künftig unter der neuen Regierung leiden werden.

Dann wären da noch die galoppierenden Staatsschulden der Vereinigten Staaten. Denn unter Trumps Ägide schöpfte die US-Zentralbank allein im Jahr 2020 über drei Billionen Dollar. »Die Vereinigten Staaten haben im Juni mehr Geld gedruckt als in den ersten zwei Jahrhunderten nach ihrer Gründung. Letzten Monat war das Haushaltsdefizit der USA – 864 Milliarden Dollar – größer als die Gesamtverschuldung von 1776 bis Ende 1979«, so Dan Morehead, CEO von Pantera Capital am 29. Juli 2020. Seit 2020 hat die Staatsverschuldung um knapp zwölf Billionen Dollar zugenommen und belief sich im September 2024 auf 35,46 Billionen Dollar. Das sollten speziell Trump-Anhänger vor Ort nicht vergessen, wenn sie nun für den Wocheneinkauf deutlich tiefer in die Tasche greifen müssen. Inflation sei Dank.

»Dafür hat Trump keine neuen Kriege angefangen!« – hört man immer wieder, wenn man auf dessen Verfehlungen hinweist. Stimmt. Weil er fünf Krisenherde von der vorherigen Regierung geerbt hat und sich dort austoben konnte. Trump hat nämlich deutlich mehr Drohnen-Einsätze befohlen als sein Vorgänger. Obama autorisierte in den ersten zwei Jahren seiner Amtszeit 186 Einsätze – bei Trump waren es 238. Allein im Jemen hat die Trump-Regierung 176 Angriffe binnen zwei Jahren durchgeführt. Bei Obama waren es 154 in acht Jahren. Und während die Regierung unter Obama zumindest teilweise Daten zu den Opferzahlen dieser Einsätze veröffentlichte, änderte Trump die entsprechenden Transparenzanforderungen und veröffentlichte gar keine Daten. Laut einem Artikel von Foreign Policy vom 9. August 2017 ist Trump »der kriegslüsternste Präsident der jüngeren Geschichte«. Weiter führte das 1970 von Samuel P. Huntington gegründete Magazin aus:

»Unter Trump haben die Vereinigten Staaten bis zum 31. Juli etwa 20.650 Bomben abgeworfen, das sind 80 Prozent der Menge, die unter Obama im gesamten Jahr 2016 abgeworfen wurden. (…) Daten zeigen, dass die Vereinigten Staaten im Irak und in Syrien Bomben in beispiellosem Ausmaß abwerfen. Im Juli warf die Koalition zur Bekämpfung des Islamischen Staats (sprich: die Vereinigten Staaten) 4.313 Bomben ab, 77 Prozent mehr als im Juli letzten Jahres. Im Juni lag die Zahl bei 4.848 – 1.600 Bomben mehr als unter Präsident Barack Obama jemals pro Monat abgeworfen wurden. In Afghanistan ist die Zahl der abgeworfenen Bomben seit Trumps Amtsantritt ebenfalls sprunghaft angestiegen. Im April wurden im Land mehr Bomben abgeworfen als auf dem Höhepunkt von Obamas Truppenaufstockung im Jahr 2012. In diesem Monat bombardierten die Vereinigten Staaten das afghanische Mamand-Tal mit der größten nichtnuklearen Bombe, die jemals abgeworfen wurde. Trump hat auch das militärische Engagement der USA in Ländern außerhalb der Kriegsschauplätze ausgeweitet – nämlich im Jemen, in Somalia und in Pakistan. In den letzten 193 Tagen von Obamas Präsidentschaft gab es in diesen drei Ländern 21 tödliche Anti-Terror-Operationen. Trump hat diese Zahl verfünffacht und mindestens 92 solcher Operationen im Jemen, sieben in Somalia und vier in Pakistan durchgeführt.«

Klingt für mich jetzt nicht so ganz nach Friedenstauben.

Wahrscheinlich war es am Ende nur die Hektik bei der Übergabe der Amtsgeschäfte im Januar 2021, oder der Stress permanenter Medienpräsenz, der Trump auch noch davon abhielt, Julian Assange oder Edward Snowden zu begnadigen. Immerhin war er »kurz davor, einen der beiden auszuwählen«, wie er in einem Interview für Daily Wire verlauten ließ. Am Ende blieb dann aber leider doch nur Zeit für die Begnadigung der anderen 116 Personen auf der Liste. Dumm gelaufen.

Wenden wir uns der Gegenwart zu. Und dem, was uns die nächsten vier Jahre erwarten könnte. Es muss ja jetzt auf jeden Fall alles viel besser laufen als in der ersten Runde. Denn in den Augen vieler seiner Unterstützer habe Trump in der Zwischenzeit viel gelernt und wurde damals nur hinters Licht geführt. Überrumpelt vom Tiefenstaat, den er eigentlich abschaffen wollte. Zudem hat er nun Elon Musk und RFK Jr. an seiner Seite, der gemäß Lutnik zwar keinen Job bekommt, aber immerhin steht irgendwo Kennedy auf der Banderole. Das ist doch auch was.

Ernsthaft. Bereits in Rahmen seiner ersten Amtszeit plante Trump, ein biometrisches System zur Ein- und Ausreisekontrolle zu etablieren. Es sollte zunächst nur für Ausländer gelten. Aber jeder weiß, dass es nicht lange dauert, bis so ein System für jeden gilt. Dazu passt, dass seit Beginn des Wahlkampfes 2024 permanent von der Voter ID gesprochen wird. Ausweise für alle – gegen Wahlbetrug. Bisher besitzen nur knapp 40 Prozent der Amerikaner einen Reisepass. Nur acht Prozent verlassen im Urlaub überhaupt das Land. Die virtuelle Wand wird das ändern, nicht nur an der Grenze zu Mexiko. Denn über kurz oder lang resultiert das Projekt in der flächendeckenden Einführung einer eID. Basis für die eID- oder Voter ID-Infrastruktur könnte zum Beispiel E-Verify sein, ein vom Department of Homeland Security betriebenes Projekt zur Verifikation von Personen, dessen Nutzung für Personalabteilungen von Bundesbehörden seit dem 1. Oktober 2007 obligatorisch ist. Die Nominierung von Tom Homan als Chef der Einwanderungs- und Zollbehörde impliziert, dass genau dieser Kurs eingeschlagen wird. Homan ist Hardliner. Er war Teil des rechtskonservativen Project 2025 und befürwortet neben flächendeckender Biometrie auch die Trennung von Eltern und Kindern an der Grenze.

Kein Zufall also, dass der Gründer der Cardano-Blockchain, Charles Hoskinson, die Regierung Trump ab 2025 in Bezug auf Kryptoanwendungen beraten soll. Immerhin hatte Hoskinson bereits mit dem von Jeffrey Epstein finanzierten Ben Goertzel ein biometrisches eID-System für Schulkinder in Äthiopien entwickelt. Und nachdem die von Peter Thiel finanzierte Silikon-Valley-Marionette JD Vance als Vizepräsident fungiert, hat auch der mächtigste Überwachungskonzern der Welt, Palantir, nun einen Fuß in der Tür des Oval Office. Mit diesem Setup dürfte der gläserne Bürger der Gegenwart bald ein Relikt der Vergangenheit sein.

Ganz zur Freude von Ex-Spion John Ratcliffe, dem neuen CIA-Direktor unter »Orange Man«. In Trumps erster Amtszeit war Ratcliffe »Director of National Intelligence«, unter George W. Bush zuständig für Anti-Terror-Operationen und nationale Sicherheit. Später leitete er zusammen mit John Ashcroft, Generalstaatsanwalt unter Bush und Architekt des Ermächtigungsgesetzes »Patriot Act«, ein Unternehmen für strategische Beratung (AGS). Im Dezember 2023 unterstützte John Ratcliffe den Bilderberger, Kriegstreiber und Tiefenstaat-Neocon Mike Pompeo bei der Erneuerung des Foreign Intelligence Surveillance Act (FISA), der die fortgesetzte, anlasslose Massenüberwachung der US-Bevölkerung legalisiert. Und kaum war er nominiert, machte Ratcliffe am 13. November 2024 auf FOX-News wahrheitswidrig Stimmung gegen den Iran und unterstellte der dortigen Regierung »kriegerische Handlungen« gegenüber den USA.

Kollaborieren wird Ratcliffe künftig mit Tulsi Gabbard. Sie beerbt ihn als Trumps neuer »Director of National Intelligence«. Gabbard war Mitglied der WEF Young Global Leaders sowie des Council on Foreign Relations (CFR). Beide Organisationen tilgten ihren Namen von der eigenen Homepage, nachdem Gabbard öffentlich über US-Biowaffenlabore in der Ukraine sprach. In Interviews bestätigt sie ihre Rolle im CFR allerdings selbst. Gabbard befürwortete die Covid-Impfkampagne und schmückt sich gerne mit dem Image »Kriegsveteran« – obwohl sie die Schrecken des Krieges lediglich aus sicherer Entfernung sah. Eine Opportunistin, deren konservativ-kritisches Image nichts weiter ist als ein wackliges Kartenhaus.

»Ich war Kadett. Was ist das Motto der Kadetten in West Point? Du wirst nicht lügen, betrügen, oder stehlen – und diejenigen nicht dulden, die das tun. Ich war der CIA-Direktor. Wir haben gelogen, wir haben betrogen, wir haben gestohlen. Wir haben ganze Trainingskurse dazu absolviert.« (Mike Pompeo, April 2019)

Und wer denkt, Donald Trump werde wenigstens die Einführung einer digitalen Zentralbankwährung (CBDC) verhindern, irrt. Zumindest im Kern. Denn im Rahmen seiner Rede auf der Bitcoin Konferenz 2024 sprach Donald Trump von »regulatorischer Klarheit« sowie der »sicheren und verantwortungsvollen Expansion von Stablecoins«. Damit bestätigte er, dass die Einführung von digitalem Geld über privatwirtschaftliche Entitäten erfolgen wird. Denn ein Konto bei der Zentralbank will niemand. Leider werden aber die Transaktionen all der ach so marktwirtschaftlich eingeführten Digitalwährungen zentral erfasst. Im »Unified Ledger« der Bank für Internationalen Zahlungsausgleich (BIZ) in Basel. Was am Ende zum exakt gleichen Ergebnis führt wie eine vom Staat oder der Zentralbank aufgelegte CBDC – zu lückenloser Überwachung mit Interventionspotenzial.

Zurück zur künftigen Regierung. Stabschef im Weißen Haus und damit »mächtigste Frau in Washington« soll Susie Wiles werden – bisher Co-Vositzende von Mercury Public Affairs LLC, einem Lobby-Giganten, der unter anderem Pfizer, GAVI, die Vereinten Nationen oder SpaceX vertritt. Mercury Public Affairs gehört seit 2003 zur Omnicom Group, einem WEF-Partner für Öffentlichkeitsarbeit. Wiles gilt als die »am meisten gefürchtete und am wenigsten bekannte Politagentin Amerikas«.

Als Außenminister nominierte Trump den von der Zionismus-Lobby korrumpierten Marco Rubio. Einen Neocon. Sprich: Militärischer Interventionismus und unilaterale Hegemonieansprüche. Den Posten des nationalen Sicherheitsberaters offeriert Trump dem ehemaligen Green Beret Mike Waltz. Neben Marco Rubio der zweite Mann in der künftigen Regierung, der sich mit China anlegen möchte. Ergänzt wird das kriegsaffine Duo von Brian Hook, der dem Iran am liebsten sofort den Krieg erklären möchte und den Auftrag erhielt, Schlüsselpositionen im Außenministerium mit geeignetem Personal dafür zu besetzen.

Der ehemalige texanische Kongressabgeordnete Ron Paul sieht in diesen Nominierungen »einen schlechten Tag für jene, die an America First glaubten«. Sollte Trump die Unterstützung der Ukraine seitens Amerika tatsächlich beenden, dürften nämlich ersatzweise zuerst der Iran und langfristig eventuell gar China von Demokratie aus der Luft beglückt werden. Daran wird auch die neue US-Botschafterin bei den Vereinten Nationen nichts ändern. Denn Elise Stefanik hat praktisch keine relevante Berufserfahrung – und ist ebenfalls ein Neocon. Sowohl Stefanik als auch Rubio, Waltz oder Hook setzen sich für weitere Waffenlieferungen nach Israel und eine Fortsetzung des auch von israelischen Zeitungen also solchen bezeichneten Genozids in Gaza ein.

»Die westliche Zivilisation repräsentiert heute das Verständnis, dass Zionismus und Amerikanismus die Frontlinien der westlichen Zivilisation und Freiheit in unserer Welt sind«, erklärte der Army-Veteran, United Against Nuclear Iran-Advokat und Ex-FOX-News-Mitarbeiter Pete Hegseth im April 2019.

An dieser faschistoiden wie imperialistischen Doktrin scheinen sich auch Trump und Co. zu orientieren – denn Hegseth wird nun Verteidigungsminister. Passend dazu wird Mike Huckabee, ein bekennender Zionist, der nächste US-Botschafter in Israel. Huckabee nennt das Westjordanland Judäa und behauptet entgegen historischer Fakten, dass es Teil Israels ist. Auch die Annexion der Westbank fände er in Ordnung. Seine Nominierung kann als Kriegserklärung an die Palästinenser verstanden werden. Wohlwissend, dass Israels völkerrechtswidriges Vorgehen leicht zu einem regionalen, wenn nicht globalen Flächenbrand führen kann.

Apropos globale Themen: Dahingehend lohnt sich ein genauerer Blick auf die Hintergründe des bereits erwähnten Howard Lutnick. Diesen hat die Investigativ-Journalistin Whitney Webb am 7. November 2024 gewagt. Unter der Überschrift »Macht euch bereit für den Kohlenstoffmarkt der Republikaner« erklärt sie:

»Viele der einflussreichsten Namen der kommenden Trump-Regierung sowie der vorherigen haben sich in den letzten Jahren intensiv mit der Schaffung von Kohlenstoffmärkten befasst, während andere eine langjährige Erfolgsgeschichte bei der Implementierung von CO2-Steuern und anderen Formen der CO2-Bepreisung vorweisen können. Der wichtigste unter ihnen ist Howard Lutnick, Co-Vorsitzender von Trumps Transition-Team, der erklärte, seine Aufgabe sei es, Talente für die kommende Regierung zu finden. Lutnick ist der langjährige Leiter von Cantor Fitzgerald, einem der ersten Akteure im Emissionshandel, der sich seitdem zu einem weltweit führenden Unternehmen für ESG-Investitionen, die Finanzierung nachhaltiger Infrastruktur und grüne Anleihen entwickelt hat. So hat sich Cantors nachhaltiger Infrastrukturfonds ausdrücklich der digitalen Transformation, Dekarbonisierung und Verbesserung und Modernisierung alternder Infrastruktur verschrieben, während ein Hauptaugenmerk des Fonds darauf liegen wird, in Emittenten zu investieren, die mit ihren Produkten und Dienstleistungen dazu beitragen, bestimmte Ziele der Vereinten Nationen für nachhaltige Entwicklung zu erreichen. Darüber hinaus ist Invenergy, ein Unternehmen für erneuerbare Energien, das im Rahmen von Bidens umstrittenem Inflationsbekämpfungsgesetz eine beträchtliche Menge an Subventionen erhalten hat und vom ersten Windmilliardär des Landes, Michael Polsky, geleitet wird, der wichtigste Bestandteil eines weiteren Infrastrukturfonds von Cantor. Lutnick sitzt auch im Vorstand eines Satellitenüberwachungsunternehmens namens Satellogic. Neben Lutnick ist der ehemalige Finanzminister von Trump, Steve Mnuchin, Vorsitzender des Vorstands. Auch Joe Dunford, ehemaliger Stabschef des US-Militärs unter Trump, sitzt im Vorstand. Satellogic ist integraler Bestandteil eines Konsortiums, das versucht, durch undurchsichtige vertragliche Vereinbarungen auf kommunaler Ebene einen riesigen, Blockchain-basierten Kohlenstoffmarkt in Lateinamerika durchzusetzen. Dieser Kohlenstoffmarkt, der unter dem Namen GREEN+ operiert, soll auf einer Bitcoin-Sidechain aufgebaut werden. Das entsprechende Emissionsgutschriftsystem ist für lateinamerikanische Gemeinden zutiefst ungerecht. So könnten die betroffenen Gemeinden beispielsweise nur Geld verdienen, wenn Einnahmen unter den für GREEN+ anerkannten, nachhaltigen Projekten generiert werden, während die Investoren von GREEN+ den Großteil der Gewinne einstreichen. Das Programm würde Gemeinden außerdem ohne ihre Zustimmung dem Satellitenüberwachungsapparat von Satellogic (der mit der US-Regierung und dem israelischen Geheimdienst verbunden ist) aussetzen. Darüber hinaus ist GREEN+ in bemerkenswerter Weise mit Personen verbunden, die Trumps Verbündeten in der Region nahestehen. So ist eine wichtige Persönlichkeit in Nayib Bukeles politischer Partei – der Bürgermeister von San Salvador, Mario Durán – Vizepräsident einer der wichtigsten Gruppen, die das GREEN+-Programm orchestrieren, während das Netzwerk Endeavor Argentina, das sehr enge Verbindungen zu Javier Milei pflegt, ebenfalls eng mit Satellogic verbunden ist. Satellogic ist ein von Endeavor unterstütztes Unternehmen, während Endeavors erster Milliardär und Unternehmer, Marcos Galperín von MercadoLibre, im Vorstand von Satellogic sitzt. Darüber hinaus ist ein anderer wichtiger Investor von Satellogic, der Dollar-Stablecoin-Emittent Tether, auch eng mit Howard Lutnick verbunden. Lutnick ist langjähriger Fürsprecher von Tether. Und Cantor Fitzgerald hält den Großteil der US-Staatsanleihen von Tether, um deren Stablecoin und seine Bindung an den US-Dollar zu stützen.«

Das sollte Wähler, die dem Klimawandel-Narrativ und Digitalwährungen skeptisch gegenüberstehen, hellhörig werden lassen – denn auch wenn Donald Trump im Rahmen seiner öffentlichen Auftritte gegen die Nachhaltigkeitsagenda wettert und der leitmediale Komplex seine entsprechenden Phrasen für Konterpropaganda nutzt, sprechen die Taten wieder einmal eine ganz andere Sprache. In Anbetracht vorgängig beschriebener Umstände sieht es nämlich nicht so aus, als widersetze sich der 47. US-Präsident dem Nachhaltigkeitskorporatismus der UN. Im Gegenteil.

»Der König ist tot, es lebe der König«. Die neue US-Regierung wird die gleiche Agenda fahren wie die alte – nur die Vermarktung ändert sich. Das kündigte Lynn Forester de Rothschild (CIC) schon vor über einem Jahr bei Bloomberg an. Genau wie Larry Fink (BlackRock).

Die Einführung biometrischer Massenüberwachung wird nun mit der Migrationskrise und drohendem Wahlbetrug, mit der Stärkung der Demokratie gerechtfertigt, anstatt mit einem Virus. Den Krieg in der Ukraine wird man nicht weiter unterstützen. Diesen Brandherd sollen die Europäer am Kokeln halten, damit man endlich den Iran und China ins Fadenkreuz nehmen kann. So ein dritter Weltkrieg wäre nämlich ein profitables Geschäft. Das Klimawandel-Narrativ wird man öffentlich negieren und verhöhnen, während die Agenda 2030 trotzdem umsetzt wird. Gleiches gilt für Totalüberwachung, Genderwahn, globale Gleichschaltung von Lerninhalten und die schleichende Digitalisierung des Weltfinanzsystems. Denn auch diese Programme werden von überstaatlichen Akteuren vorangetrieben und entziehen sich dem Einfluss nationaler Regierungen. So funktioniert Korporatismus.

Ernüchternd ist vor allem, dass sich die Bevölkerung, die in den letzten vier Jahren tatsächlich ein gewisses Maß an rebellischem Potenzial entwickelte, wieder einmal täuschen lässt. Trump-Hype wohin man schaut. Selbst die Corona-Dissidenten, selbst jene, die dem Staat aufgrund von Covid-Lügen, Green-Economy-Deindustrialisierung und militantem Neoimperialismus zusehends kritisch gegenüberstanden, haben sich in weiten Teilen von den leeren Versprechungen der MAGA-Promotion und ihren Sekundanten blenden lassen.

Sie werden genauso desillusioniert zurückbleiben wie einst die auf »Hope« geeichten Obama-Fans – und sich in ein paar Jahren vermutlich trotzdem wieder an die Wahlurne schleppen, weil sie auf den nächsten Erlöser hoffen, anstatt selbst die Welt zu verändern.

Zur Wahl stehen aber jeweils nur verschiedene Geschmacksrichtungen der gleichen, bitteren Pille Marke Unterdrückung. Keine Unterdrückung – das ist natürlich keine Option. Das steht nicht auf dem Wahlzettel.

Linke gegen Rechte, Demokraten gegen Republikaner, Christentum gegen Islam – Bevölkerungsgruppen, die man gegeneinander aufwiegeln kann, finden sich dagegen immer. Präsentiert man ihnen einen verheißungsvollen Erlöser, werden sie ihn unterstützen, um die andere Gruppe loszuwerden. Das ist Herrschaftsdialektik. Man bringt die Menschen dazu, um Dinge zu betteln, die ohnehin eingeführt werden sollen. Und der einzige Gewinner in diesem immer riskanter werdenden Spiel ist die Prädatorenkaste.

»Die mächtigste Waffe in den Händen der Unterdrücker ist der Geist der Unterdrückten.« (Stephen Bantu Biko)

Wer Donald Trump unterstützt, ist nicht für Frieden und Freiheit, sondern nur gegen das, was die andere Seite will. Denn Donald Trumps Interesse gilt nicht Frieden und Freiheit, sondern Donald Trump. So war es sein ganzes Leben lang.

@ 8f0a121e:24038909

كلنا نعرف أبيات إمرئ القيس في الليل التي تعلمناها في المدارس صغارا.

وليل كموج البحر أرخى سدوله ... عليّ بأنواع الـــهموم ليـــبتلي فقلـــت له لمـا تمـــطى بصـلبـــه ... وأردف أعجازا وناء بكلــــكل ألا أيها الليل الطويل ألا انـجـلي ... بصبح وما الإصباح منك بأمثل

وهي من أروع وأعلى ما قيل في الليل، ولكن تراثنا وشعرنا مليء بروائع في نفس المعنى. يقول النابغة الذبياني:

كليـــني لهمًّ يا أمــيمة ناصـــبِ ... وليل أقاسيه بطيء الكـــواكب تطاول حتى قلت ليس بمنقضٍ ... وليس الذي يرعى النجوم بآيب وصدر أراح الليل عازب هــــمه ... تضاعف فيه الحزن من كل جانب

يطلب النابغة من ابنته أميمة أن تدعه لهمه وتعبه ويشكي بطئ سير كواكب وثقلها في السير كناية على طول الليل.

في البيت الثاني، أقام الصبح مقام الراعي الذي يغدو فيذهب بالماشية والإبل، وبالمثل الصبح يذهب بالنجوم.

ثم يقول أن الليل "أراح عازب همه" بمعنى أنه أرجع اليه همه البعيد.

---

ويقول الوليد بن يزيد:

لا أسأل الله تغييرا لما فَعَلَت ... نامت وقد أسهرت عينيَّ عيناها فالليل أطول شيءٍ حين أفقدها ... والليل أقصر شيءٍ حين ألقاها

---

ويقول بشار:

خليلَيَّ ما بال الدجى لا تزحزح ... وما بال ضوء الصبـح لا يتوضح أضل النهار المستنير سبـــــيله ... أم الدـــــهر لـــيل كله لا يبــــرح

شعر #أدب #بالعربي

@ bcea2b98:7ccef3c9

Weekends are the perfect time to unwind, explore, or spend time doing what we love. How would you spend your ideal weekend? Would it be all about relaxation, or would you be out and about?

For me, an ideal weekend would start with a slow Saturday morning, a good book and coffee. Then I would spend the afternoon exploring local trails and looking for snacks. Then always a slow Sunday night hopefully.

originally posted at https://stacker.news/items/760492

@ f7524ebe:58863422

Photo by Vishnu Mohanan

Checkout Part 1 of this series if you haven't already

This is my follow up to my previous post. In this post I'm going to explore a few other systems that I didn't include in my last post, namely self hosted analytics (not Google Analytics), and our system for having our docker container on our Digital Ocean server automatically update when a new version of our container is pushed to our container registry. So let's dive into it.

Plausible Analytics

Plausible Analytics is extremely cool open source software for allowing you to gain basic web analytics on your site. What I like about Plausible vs Google analytics, is not only that it can be self hosted and simple, but it's also very privacy focused. Since I'm simply building a blog site... I don't need to know everything about my users. I pretty much just want to know how many users came to my site, when, and where and Plausible solves this for me.

Additionally, It's an extremely simple UI which was another big selling point. I've used Google Analytics back in the day, and it was overwhelmingly complicated especially if all I really want is some stupid simple stats about my page. The other cool thing about Plausible is if you don't want to host it yourself you can pay for hosting on their platform, but as you know from my last post I'm doing a lot of this stuff not for conveniencie, but to learn something and have fun along the way. So in this post we'll do things "the hard way".

Setting Up Plausible

First off Plausible has great docs here. I'll show you a few things here as a supplement to those docs. First things first you'll want to setup a HTTPS server for plausible using Nginx.

My Nginx Conf looks like this:

```ini server { listen 80; listen [::]:80; server_name changeme.com;

access_log  /var/log/nginx/plausible.access.log;
error_log   /var/log/nginx/plausible.error.log;

location / {
  proxy_pass http://localhost:8000;
  proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}

}

server {
listen 443 ssl http2;
listen [::]:443 ssl http2;
server_name changeme.com;

server_tokens off;

ssl_certificate /etc/letsencrypt/live/changeme.com/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/changeme.com/privkey.pem;

ssl_buffer_size 8k;

ssl_dhparam /etc/ssl/certs/dhparam-2048.pem;

ssl_protocols TLSv1.2 TLSv1.1 TLSv1;
ssl_prefer_server_ciphers on;

ssl_ciphers ECDH+AESGCM:ECDH+AES256:ECDH+AES128:DH+3DES:!ADH:!AECDH:!MD5;

ssl_ecdh_curve secp384r1;
ssl_session_tickets off;

ssl_stapling on;
ssl_stapling_verify on;
resolver 8.8.8.8;

location / {
    proxy_pass http://localhost:8000; # this is our pluasable service.
    add_header X-Frame-Options "SAMEORIGIN" always;
    add_header X-XSS-Protection "1; mode=block" always;
    add_header X-Content-Type-Options "nosniff" always;
    add_header Referrer-Policy "no-referrer-when-downgrade" always;
    add_header Content-Security-Policy "default-src * data: 'unsafe-eval' 'unsafe-inline'" always;
}

} ```

So the first server block is what listens on port 80 for non TLS encrypted HTTP traffic. If a request comes in on http it will simply redirect the user to our TLS origin. I'm using let's encrypt's cert bot to create my TLS cert. Which is a free and somewhat easy way to have TLS support on your site, which you absolutely should have. Most browsers will make a big stink if your site does not support TLS.

This is a fantastic tutorial on how to setup wild card certificates with Let's Encrypt and Cert Bot on Digital Ocean DNS. Wild card certs are supper useful because they allow you to create one TLS certificate that covers all subdomains on a domain name. So in my case anything like exmple.awhb.dev is covered under the same certificate as awhb.dev. If you don't do wild card certs you'll have to manually create certificates for each subdomain, which is painful.

Here's what my docker-compose.yaml file for this server looks like:

```yaml version: '3.3' services: mail: image: bytemark/smtp restart: always

plausible_db:
    # supported versions are 12, 13, and 14
    image: postgres:14-alpine
    restart: always
    volumes:
        - db-data:/var/lib/postgresql/data
    environment:
        - POSTGRES_PASSWORD=postgres

plausible_events_db:
    image: clickhouse/clickhouse-server:23.3.7.5-alpine
    restart: always
    volumes:
        - event-data:/var/lib/clickhouse
        - ./clickhouse/clickhouse-config.xml:/etc/clickhouse-server/config.d/logging.xml:ro
        - ./clickhouse/clickhouse-user-config.xml:/etc/clickhouse-server/users.d/logging.xml:ro
    ulimits:
        nofile:
            soft: 262144
            hard: 262144

plausible:
    image: plausible/analytics:v2.0
    restart: always
    command: sh -c "sleep 10 && /entrypoint.sh db createdb && /entrypoint.sh db migrate && /entrypoint.sh run"
    depends_on:
        - plausible_db
        - plausible_events_db
        - mail
    ports:
        - 127.0.0.1:8000:8000
    env_file:
        - plausible-conf.env

volumes: db-data: driver: local event-data: driver: local ```

Note this does not include my Nginx service. You can run your Nginx server either on docker or on your host. Honestly it's probably easier to run it on your host, but I went a little wild and am running mine in docker mostly because I didn't want to install a bunch of linux dependencies and configure them, but in retrospect I think it was probably more work the way I configured things, because my Nginx instance is being used for several servers at once running in multiple docker-compose files.

Another really important note here...

Be sure to do this:

yaml ports: - 127.0.0.1:8000:8000

127.0.0.1:8000:8000 insures that we don't expose this service outside of our local machine. Meaning you cannot directly connect to your servers public IP for example: http://my-public-IP:8000 if you don't set 127.0.0.1 here your service would be accessible this way which is a big security hole, since you want people connecting to your page through your https address and not on this port.

Auto Update Our Blog Docker Container

Now let's switch gears and talk about how we can update our blog container automatically when a new version gets pushed to our registry. Note this will work both with a self hosted registry and with a Docker Hub registry. The way this works is very simple we use a docker service called Watch Tower. Watch tower basically watches all of your running docker containers and checks to see if there's a new version of them on a fixed interval. You can customize this behavior to run as frequently or infrequently as you want.. and you can also have it only check for updates on a subset of your running containers if you want. In my case I just changed the frequency that it checks for updates to every 10 minutes, since it's default is every 24 hours, which in my case is too long, since I want to see my Blog changes update pretty quickly after they are built.

Here's how my docker-compose.ymal looks:

```yaml version: '3.9'

services: watchtower: image: containrrr/watchtower environment: - WATCHTOWER_POLL_INTERVAL=600 volumes: - /var/run/docker.sock:/var/run/docker.sock ```

You can also optionally start this without docker-compose, but I find compose a lot easier than just running docker containers from the command line. The environment var WATCHTOWER_POLL_INTERVAL is important. This is the frequency that watchtower checks to see if there are any new containers to pull in seconds. So in my case this is 10 minutes.

Note Watch Tower will restart your docker services with the same configuration they were started in, so you don't have to worry about them being misconfigured when updated. And this service completes our very stupid simple CI system, since this automates the other end of the equation.

We could theoretically do this in another way, which would be to run another dumb web server like our simple GitHub hook server I run on my Raspberry Pi, but this one would handle a call by our Raspberry Pi server when our deploy script finishes, which would trigger a docker pull and restart. That's potentially a more efficient way of doing things, but there's some complexity there... what if your network connection is down on either server and things like that. I just didn't want to deal with that, but could be a fun little project.