@ 21335073:a244b1ad

Someone asked for my thoughts, so I’ll share them thoughtfully. I’m not here to dictate how to promote Nostr—I’m still learning about it myself. While I’m not new to Nostr, freedom tech is a newer space for me. I’m skilled at advocating for topics I deeply understand, but freedom tech isn’t my expertise, so take my words with a grain of salt. Nothing I say is set in stone.

Those who need Nostr the most are the ones most vulnerable to censorship on other platforms right now. Reaching them requires real-time awareness of global issues and the dynamic relationships between governments and tech providers, which can shift suddenly. Effective Nostr promoters must grasp this and adapt quickly.

The best messengers are people from or closely tied to these at-risk regions—those who truly understand the local political and cultural dynamics. They can connect with those in need when tensions rise. Ideal promoters are rational, trustworthy, passionate about Nostr, but above all, dedicated to amplifying people’s voices when it matters most.

Forget influencers, corporate-backed figures, or traditional online PR—it comes off as inauthentic, corny, desperate and forced. Nostr’s promotion should be grassroots and organic, driven by a few passionate individuals who believe in Nostr and the communities they serve.

The idea that “people won’t join Nostr due to lack of reach” is nonsense. Everyone knows X’s “reach” is mostly with bots. If humans want real conversations, Nostr is the place. X is great for propaganda, but Nostr is for the authentic voices of the people.

Those spreading Nostr must be so passionate they’re willing to onboard others, which is time-consuming but rewarding for the right person. They’ll need to make Nostr and onboarding a core part of who they are. I see no issue with that level of dedication. I’ve been known to get that way myself at times. It’s fun for some folks.

With love, I suggest not adding Bitcoin promotion with Nostr outreach. Zaps already integrate that element naturally. (Still promote within the Bitcoin ecosystem, but this is about reaching vulnerable voices who needed Nostr yesterday.)

To promote Nostr, forget conventional strategies. “Influencers” aren’t the answer. “Influencers” are not the future. A trusted local community member has real influence—reach them. Connect with people seeking Nostr’s benefits but lacking the technical language to express it. This means some in the Nostr community might need to step outside of the Bitcoin bubble, which is uncomfortable but necessary. Thank you in advance to those who are willing to do that.

I don’t know who is paid to promote Nostr, if anyone. This piece isn’t shade. But it’s exhausting to see innocent voices globally silenced on corporate platforms like X while Nostr exists. Last night, I wondered: how many more voices must be censored before the Nostr community gets uncomfortable and thinks creatively to reach the vulnerable?

A warning: the global need for censorship-resistant social media is undeniable. If Nostr doesn’t make itself known, something else will fill that void. Let’s start this conversation.

@ 21335073:a244b1ad

Please respect Virginia Giuffre’s memory by refraining from asking about the circumstances or theories surrounding her passing.

Since Virginia Giuffre’s death, I’ve reflected on what she would want me to say or do. This piece is my attempt to honor her legacy.

When I first spoke with Virginia, I was struck by her unshakable hope. I had grown cynical after years in the anti-human trafficking movement, worn down by a broken system and a government that often seemed complicit. But Virginia’s passion, creativity, and belief that survivors could be heard reignited something in me. She reminded me of my younger, more hopeful self. Instead of warning her about the challenges ahead, I let her dream big, unburdened by my own disillusionment. That conversation changed me for the better, and following her lead led to meaningful progress.

Virginia was one of the bravest people I’ve ever known. As a survivor of Epstein, Maxwell, and their co-conspirators, she risked everything to speak out, taking on some of the world’s most powerful figures.

She loved when I said, “Epstein isn’t the only Epstein.” This wasn’t just about one man—it was a call to hold all abusers accountable and to ensure survivors find hope and healing.

The Epstein case often gets reduced to sensational details about the elite, but that misses the bigger picture. Yes, we should be holding all of the co-conspirators accountable, we must listen to the survivors’ stories. Their experiences reveal how predators exploit vulnerabilities, offering lessons to prevent future victims.

You’re not powerless in this fight. Educate yourself about trafficking and abuse—online and offline—and take steps to protect those around you. Supporting survivors starts with small, meaningful actions. Free online resources can guide you in being a safe, supportive presence.

When high-profile accusations arise, resist snap judgments. Instead of dismissing survivors as “crazy,” pause to consider the trauma they may be navigating. Speaking out or coping with abuse is never easy. You don’t have to believe every claim, but you can refrain from attacking accusers online.

Society also fails at providing aftercare for survivors. The government, often part of the problem, won’t solve this. It’s up to us. Prevention is critical, but when abuse occurs, step up for your loved ones and community. Protect the vulnerable. it’s a challenging but a rewarding journey.

If you’re contributing to Nostr, you’re helping build a censorship resistant platform where survivors can share their stories freely, no matter how powerful their abusers are. Their voices can endure here, offering strength and hope to others. This gives me great hope for the future.

Virginia Giuffre’s courage was a gift to the world. It was an honor to know and serve her. She will be deeply missed. My hope is that her story inspires others to take on the powerful.

@ 52b4a076:e7fad8bd

I have been recently building NFDB, a new relay DB. This post is meant as a short overview.

Regular relays have challenges

Current relay software have significant challenges, which I have experienced when hosting Nostr.land: - Scalability is only supported by adding full replicas, which does not scale to large relays. - Most relays use slow databases and are not optimized for large scale usage. - Search is near-impossible to implement on standard relays. - Privacy features such as NIP-42 are lacking. - Regular DB maintenance tasks on normal relays require extended downtime. - Fault-tolerance is implemented, if any, using a load balancer, which is limited. - Personalization and advanced filtering is not possible. - Local caching is not supported.

NFDB: A scalable database for large relays

NFDB is a new database meant for medium-large scale relays, built on FoundationDB that provides: - Near-unlimited scalability - Extended fault tolerance - Instant loading - Better search - Better personalization - and more.

Search

NFDB has extended search capabilities including: - Semantic search: Search for meaning, not words. - Interest-based search: Highlight content you care about. - Multi-faceted queries: Easily filter by topic, author group, keywords, and more at the same time. - Wide support for event kinds, including users, articles, etc.

Personalization

NFDB allows significant personalization: - Customized algorithms: Be your own algorithm. - Spam filtering: Filter content to your WoT, and use advanced spam filters. - Topic mutes: Mute topics, not keywords. - Media filtering: With Nostr.build, you will be able to filter NSFW and other content - Low data mode: Block notes that use high amounts of cellular data. - and more

Other

NFDB has support for many other features such as: - NIP-42: Protect your privacy with private drafts and DMs - Microrelays: Easily deploy your own personal microrelay - Containers: Dedicated, fast storage for discoverability events such as relay lists

Calcite: A local microrelay database

Calcite is a lightweight, local version of NFDB that is meant for microrelays and caching, meant for thousands of personal microrelays.

Calcite HA is an additional layer that allows live migration and relay failover in under 30 seconds, providing higher availability compared to current relays with greater simplicity. Calcite HA is enabled in all Calcite deployments.

For zero-downtime, NFDB is recommended.

Noswhere SmartCache

Relays are fixed in one location, but users can be anywhere.

Noswhere SmartCache is a CDN for relays that dynamically caches data on edge servers closest to you, allowing: - Multiple regions around the world - Improved throughput and performance - Faster loading times

routerd

routerd is a custom load-balancer optimized for Nostr relays, integrated with SmartCache.

routerd is specifically integrated with NFDB and Calcite HA to provide fast failover and high performance.

Ending notes

NFDB is planned to be deployed to Nostr.land in the coming weeks.

A lot more is to come. 👀️️️️️️

@ 91bea5cd:1df4451c

O Contexto Legal Brasileiro e o Consentimento

No ordenamento jurídico brasileiro, o consentimento do ofendido pode, em certas circunstâncias, afastar a ilicitude de um ato que, sem ele, configuraria crime (como lesão corporal leve, prevista no Art. 129 do Código Penal). Contudo, o consentimento tem limites claros: não é válido para bens jurídicos indisponíveis, como a vida, e sua eficácia é questionável em casos de lesões corporais graves ou gravíssimas.

A prática de BDSM consensual situa-se em uma zona complexa. Em tese, se ambos os parceiros são adultos, capazes, e consentiram livre e informadamente nos atos praticados, sem que resultem em lesões graves permanentes ou risco de morte não consentido, não haveria crime. O desafio reside na comprovação desse consentimento, especialmente se uma das partes, posteriormente, o negar ou alegar coação.

A Lei Maria da Penha (Lei nº 11.340/2006)

A Lei Maria da Penha é um marco fundamental na proteção da mulher contra a violência doméstica e familiar. Ela estabelece mecanismos para coibir e prevenir tal violência, definindo suas formas (física, psicológica, sexual, patrimonial e moral) e prevendo medidas protetivas de urgência.

Embora essencial, a aplicação da lei em contextos de BDSM pode ser delicada. Uma alegação de violência por parte da mulher, mesmo que as lesões ou situações decorram de práticas consensuais, tende a receber atenção prioritária das autoridades, dada a presunção de vulnerabilidade estabelecida pela lei. Isso pode criar um cenário onde o parceiro masculino enfrenta dificuldades significativas em demonstrar a natureza consensual dos atos, especialmente se não houver provas robustas pré-constituídas.

Outros riscos:

Lesão corporal grave ou gravíssima (art. 129, §§ 1º e 2º, CP), não pode ser justificada pelo consentimento, podendo ensejar persecução penal.

Crimes contra a dignidade sexual (arts. 213 e seguintes do CP) são de ação pública incondicionada e independem de representação da vítima para a investigação e denúncia.

Riscos de Falsas Acusações e Alegação de Coação Futura

Os riscos para os praticantes de BDSM, especialmente para o parceiro que assume o papel dominante ou que inflige dor/restrição (frequentemente, mas não exclusivamente, o homem), podem surgir de diversas frentes:

1. Acusações Externas: Vizinhos, familiares ou amigos que desconhecem a natureza consensual do relacionamento podem interpretar sons, marcas ou comportamentos como sinais de abuso e denunciar às autoridades.
2. Alegações Futuras da Parceira: Em caso de término conturbado, vingança, arrependimento ou mudança de perspectiva, a parceira pode reinterpretar as práticas passadas como abuso e buscar reparação ou retaliação através de uma denúncia. A alegação pode ser de que o consentimento nunca existiu ou foi viciado.
3. Alegação de Coação: Uma das formas mais complexas de refutar é a alegação de que o consentimento foi obtido mediante coação (física, moral, psicológica ou econômica). A parceira pode alegar, por exemplo, que se sentia pressionada, intimidada ou dependente, e que seu "sim" não era genuíno. Provar a ausência de coação a posteriori é extremamente difícil.
4. Ingenuidade e Vulnerabilidade Masculina: Muitos homens, confiando na dinâmica consensual e na parceira, podem negligenciar a necessidade de precauções. A crença de que "isso nunca aconteceria comigo" ou a falta de conhecimento sobre as implicações legais e o peso processual de uma acusação no âmbito da Lei Maria da Penha podem deixá-los vulneráveis. A presença de marcas físicas, mesmo que consentidas, pode ser usada como evidência de agressão, invertendo o ônus da prova na prática, ainda que não na teoria jurídica.

Estratégias de Prevenção e Mitigação

Não existe um método infalível para evitar completamente o risco de uma falsa acusação, mas diversas medidas podem ser adotadas para construir um histórico de consentimento e reduzir vulnerabilidades:

1. Comunicação Explícita e Contínua: A base de qualquer prática BDSM segura é a comunicação constante. Negociar limites, desejos, palavras de segurança ("safewords") e expectativas antes, durante e depois das cenas é crucial. Manter registros dessas negociações (e-mails, mensagens, diários compartilhados) pode ser útil.

2. Documentação do Consentimento:

   • Contratos de Relacionamento/Cena: Embora a validade jurídica de "contratos BDSM" seja discutível no Brasil (não podem afastar normas de ordem pública), eles servem como forte evidência da intenção das partes, da negociação detalhada de limites e do consentimento informado. Devem ser claros, datados, assinados e, idealmente, reconhecidos em cartório (para prova de data e autenticidade das assinaturas).

   • Registros Audiovisuais: Gravar (com consentimento explícito para a gravação) discussões sobre consentimento e limites antes das cenas pode ser uma prova poderosa. Gravar as próprias cenas é mais complexo devido a questões de privacidade e potencial uso indevido, mas pode ser considerado em casos específicos, sempre com consentimento mútuo documentado para a gravação.

     Importante: a gravação deve ser com ciência da outra parte, para não configurar violação da intimidade (art. 5º, X, da Constituição Federal e art. 20 do Código Civil).

3. Testemunhas: Em alguns contextos de comunidade BDSM, a presença de terceiros de confiança durante negociações ou mesmo cenas pode servir como testemunho, embora isso possa alterar a dinâmica íntima do casal.

4. Estabelecimento Claro de Limites e Palavras de Segurança: Definir e respeitar rigorosamente os limites (o que é permitido, o que é proibido) e as palavras de segurança é fundamental. O desrespeito a uma palavra de segurança encerra o consentimento para aquele ato.
5. Avaliação Contínua do Consentimento: O consentimento não é um cheque em branco; ele deve ser entusiástico, contínuo e revogável a qualquer momento. Verificar o bem-estar do parceiro durante a cena ("check-ins") é essencial.
6. Discrição e Cuidado com Evidências Físicas: Ser discreto sobre a natureza do relacionamento pode evitar mal-entendidos externos. Após cenas que deixem marcas, é prudente que ambos os parceiros estejam cientes e de acordo, talvez documentando por fotos (com data) e uma nota sobre a consensualidade da prática que as gerou.
7. Aconselhamento Jurídico Preventivo: Consultar um advogado especializado em direito de família e criminal, com sensibilidade para dinâmicas de relacionamento alternativas, pode fornecer orientação personalizada sobre as melhores formas de documentar o consentimento e entender os riscos legais específicos.

Observações Importantes

• Nenhuma documentação substitui a necessidade de consentimento real, livre, informado e contínuo.
• A lei brasileira protege a "integridade física" e a "dignidade humana". Práticas que resultem em lesões graves ou que violem a dignidade de forma não consentida (ou com consentimento viciado) serão ilegais, independentemente de qualquer acordo prévio.
• Em caso de acusação, a existência de documentação robusta de consentimento não garante a absolvição, mas fortalece significativamente a defesa, ajudando a demonstrar a natureza consensual da relação e das práticas.

• A alegação de coação futura é particularmente difícil de prevenir apenas com documentos. Um histórico consistente de comunicação aberta (whatsapp/telegram/e-mails), respeito mútuo e ausência de dependência ou controle excessivo na relação pode ajudar a contextualizar a dinâmica como não coercitiva.

• Cuidado com Marcas Visíveis e Lesões Graves Práticas que resultam em hematomas severos ou lesões podem ser interpretadas como agressão, mesmo que consentidas. Evitar excessos protege não apenas a integridade física, mas também evita questionamentos legais futuros.

O que vem a ser consentimento viciado

No Direito, consentimento viciado é quando a pessoa concorda com algo, mas a vontade dela não é livre ou plena — ou seja, o consentimento existe formalmente, mas é defeituoso por alguma razão.

O Código Civil brasileiro (art. 138 a 165) define várias formas de vício de consentimento. As principais são:

Erro: A pessoa se engana sobre o que está consentindo. (Ex.: A pessoa acredita que vai participar de um jogo leve, mas na verdade é exposta a práticas pesadas.)

Dolo: A pessoa é enganada propositalmente para aceitar algo. (Ex.: Alguém mente sobre o que vai acontecer durante a prática.)

Coação: A pessoa é forçada ou ameaçada a consentir. (Ex.: "Se você não aceitar, eu termino com você" — pressão emocional forte pode ser vista como coação.)

Estado de perigo ou lesão: A pessoa aceita algo em situação de necessidade extrema ou abuso de sua vulnerabilidade. (Ex.: Alguém em situação emocional muito fragilizada é induzida a aceitar práticas que normalmente recusaria.)

No contexto de BDSM, isso é ainda mais delicado: Mesmo que a pessoa tenha "assinado" um contrato ou dito "sim", se depois ela alegar que seu consentimento foi dado sob medo, engano ou pressão psicológica, o consentimento pode ser considerado viciado — e, portanto, juridicamente inválido.

Isso tem duas implicações sérias:

1. O crime não se descaracteriza: Se houver vício, o consentimento é ignorado e a prática pode ser tratada como crime normal (lesão corporal, estupro, tortura, etc.).

2. A prova do consentimento precisa ser sólida: Mostrando que a pessoa estava informada, lúcida, livre e sem qualquer tipo de coação.

   Consentimento viciado é quando a pessoa concorda formalmente, mas de maneira enganada, forçada ou pressionada, tornando o consentimento inútil para efeitos jurídicos.

Conclusão

Casais que praticam BDSM consensual no Brasil navegam em um terreno que exige não apenas confiança mútua e comunicação excepcional, mas também uma consciência aguçada das complexidades legais e dos riscos de interpretações equivocadas ou acusações mal-intencionadas. Embora o BDSM seja uma expressão legítima da sexualidade humana, sua prática no Brasil exige responsabilidade redobrada. Ter provas claras de consentimento, manter a comunicação aberta e agir com prudência são formas eficazes de se proteger de falsas alegações e preservar a liberdade e a segurança de todos os envolvidos. Embora leis controversas como a Maria da Penha sejam "vitais" para a proteção contra a violência real, os praticantes de BDSM, e em particular os homens nesse contexto, devem adotar uma postura proativa e prudente para mitigar os riscos inerentes à potencial má interpretação ou instrumentalização dessas práticas e leis, garantindo que a expressão de sua consensualidade esteja resguardada na medida do possível.

---

Importante: No Brasil, mesmo com tudo isso, o Ministério Público pode denunciar por crime como lesão corporal grave, estupro ou tortura, independente de consentimento. Então a prudência nas práticas é fundamental.

Aviso Legal: Este artigo tem caráter meramente informativo e não constitui aconselhamento jurídico. As leis e interpretações podem mudar, e cada situação é única. Recomenda-se buscar orientação de um advogado qualificado para discutir casos específicos.

Se curtiu este artigo faça uma contribuição, se tiver algum ponto relevante para o artigo deixe seu comentário.

@ e3ba5e1a:5e433365

Prelude

I wrote this post differently than any of my others. It started with a discussion with AI on an OPSec-inspired review of separation of powers, and evolved into quite an exciting debate! I asked Grok to write up a summary in my overall writing style, which it got pretty well. I've decided to post it exactly as-is. Ultimately, I think there are two solid ideas driving my stance here:

1. Perfect is the enemy of the good
2. Failure is the crucible of success

Beyond that, just some hard-core belief in freedom, separation of powers, and operating from self-interest.

Intro

Alright, buckle up. I’ve been chewing on this idea for a while, and it’s time to spit it out. Let’s look at the U.S. government like I’d look at a codebase under a cybersecurity audit—OPSEC style, no fluff. Forget the endless debates about what politicians should do. That’s noise. I want to talk about what they can do, the raw powers baked into the system, and why we should stop pretending those powers are sacred. If there’s a hole, either patch it or exploit it. No half-measures. And yeah, I’m okay if the whole thing crashes a bit—failure’s a feature, not a bug.

The Filibuster: A Security Rule with No Teeth

You ever see a firewall rule that’s more theater than protection? That’s the Senate filibuster. Everyone acts like it’s this untouchable guardian of democracy, but here’s the deal: a simple majority can torch it any day. It’s not a law; it’s a Senate preference, like choosing tabs over spaces. When people call killing it the “nuclear option,” I roll my eyes. Nuclear? It’s a button labeled “press me.” If a party wants it gone, they’ll do it. So why the dance?

I say stop playing games. Get rid of the filibuster. If you’re one of those folks who thinks it’s the only thing saving us from tyranny, fine—push for a constitutional amendment to lock it in. That’s a real patch, not a Post-it note. Until then, it’s just a vulnerability begging to be exploited. Every time a party threatens to nuke it, they’re admitting it’s not essential. So let’s stop pretending and move on.

Supreme Court Packing: Because Nine’s Just a Number

Here’s another fun one: the Supreme Court. Nine justices, right? Sounds official. Except it’s not. The Constitution doesn’t say nine—it’s silent on the number. Congress could pass a law tomorrow to make it 15, 20, or 42 (hitchhiker’s reference, anyone?). Packing the court is always on the table, and both sides know it. It’s like a root exploit just sitting there, waiting for someone to log in.

So why not call the bluff? If you’re in power—say, Trump’s back in the game—say, “I’m packing the court unless we amend the Constitution to fix it at nine.” Force the issue. No more shadowboxing. And honestly? The court’s got way too much power anyway. It’s not supposed to be a super-legislature, but here we are, with justices’ ideologies driving the bus. That’s a bug, not a feature. If the court weren’t such a kingmaker, packing it wouldn’t even matter. Maybe we should be talking about clipping its wings instead of just its size.

The Executive Should Go Full Klingon

Let’s talk presidents. I’m not saying they should wear Klingon armor and start shouting “Qapla’!”—though, let’s be real, that’d be awesome. I’m saying the executive should use every scrap of power the Constitution hands them. Enforce the laws you agree with, sideline the ones you don’t. If Congress doesn’t like it, they’ve got tools: pass new laws, override vetoes, or—here’s the big one—cut the budget. That’s not chaos; that’s the system working as designed.

Right now, the real problem isn’t the president overreaching; it’s the bureaucracy. It’s like a daemon running in the background, eating CPU and ignoring the user. The president’s supposed to be the one steering, but the administrative state’s got its own agenda. Let the executive flex, push the limits, and force Congress to check it. Norms? Pfft. The Constitution’s the spec sheet—stick to it.

Let the System Crash

Here’s where I get a little spicy: I’m totally fine if the government grinds to a halt. Deadlock isn’t a disaster; it’s a feature. If the branches can’t agree, let the president veto, let Congress starve the budget, let enforcement stall. Don’t tell me about “essential services.” Nothing’s so critical it can’t take a breather. Shutdowns force everyone to the table—debate, compromise, or expose who’s dropping the ball. If the public loses trust? Good. They’ll vote out the clowns or live with the circus they elected.

Think of it like a server crash. Sometimes you need a hard reboot to clear the cruft. If voters keep picking the same bad admins, well, the country gets what it deserves. Failure’s the best teacher—way better than limping along on autopilot.

States Are the Real MVPs

If the feds fumble, states step up. Right now, states act like junior devs waiting for the lead engineer to sign off. Why? Federal money. It’s a leash, and it’s tight. Cut that cash, and states will remember they’re autonomous. Some will shine, others will tank—looking at you, California. And I’m okay with that. Let people flee to better-run states. No bailouts, no excuses. States are like competing startups: the good ones thrive, the bad ones pivot or die.

Could it get uneven? Sure. Some states might turn into sci-fi utopias while others look like a post-apocalyptic vidya game. That’s the point—competition sorts it out. Citizens can move, markets adjust, and failure’s a signal to fix your act.

Chaos Isn’t the Enemy

Yeah, this sounds messy. States ignoring federal law, external threats poking at our seams, maybe even a constitutional crisis. I’m not scared. The Supreme Court’s there to referee interstate fights, and Congress sets the rules for state-to-state play. But if it all falls apart? Still cool. States can sort it without a babysitter—it’ll be ugly, but freedom’s worth it. External enemies? They’ll either unify us or break us. If we can’t rally, we don’t deserve the win.

Centralizing power to avoid this is like rewriting your app in a single thread to prevent race conditions—sure, it’s simpler, but you’re begging for a deadlock. Decentralized chaos lets states experiment, lets people escape, lets markets breathe. States competing to cut regulations to attract businesses? That’s a race to the bottom for red tape, but a race to the top for innovation—workers might gripe, but they’ll push back, and the tension’s healthy. Bring it—let the cage match play out. The Constitution’s checks are enough if we stop coddling the system.

Why This Matters

I’m not pitching a utopia. I’m pitching a stress test. The U.S. isn’t a fragile porcelain doll; it’s a rugged piece of hardware built to take some hits. Let it fail a little—filibuster, court, feds, whatever. Patch the holes with amendments if you want, or lean into the grind. Either way, stop fearing the crash. It’s how we debug the republic.

So, what’s your take? Ready to let the system rumble, or got a better way to secure the code? Hit me up—I’m all ears.

@ 91bea5cd:1df4451c

Básico

bash lsblk # Lista todos os diretorios montados.

Para criar o sistema de arquivos:

bash mkfs.btrfs -L "ThePool" -f /dev/sdx

Criando um subvolume:

bash btrfs subvolume create SubVol

Montando Sistema de Arquivos:

bash mount -o compress=zlib,subvol=SubVol,autodefrag /dev/sdx /mnt

Lista os discos formatados no diretório:

bash btrfs filesystem show /mnt

Adiciona novo disco ao subvolume:

bash btrfs device add -f /dev/sdy /mnt

Lista novamente os discos do subvolume:

bash btrfs filesystem show /mnt

Exibe uso dos discos do subvolume:

bash btrfs filesystem df /mnt

Balancea os dados entre os discos sobre raid1:

bash btrfs filesystem balance start -dconvert=raid1 -mconvert=raid1 /mnt

Scrub é uma passagem por todos os dados e metadados do sistema de arquivos e verifica as somas de verificação. Se uma cópia válida estiver disponível (perfis de grupo de blocos replicados), a danificada será reparada. Todas as cópias dos perfis replicados são validadas.

iniciar o processo de depuração :

bash btrfs scrub start /mnt

ver o status do processo de depuração Btrfs em execução:

bash btrfs scrub status /mnt

ver o status do scrub Btrfs para cada um dos dispositivos

bash btrfs scrub status -d / data btrfs scrub cancel / data

Para retomar o processo de depuração do Btrfs que você cancelou ou pausou:

btrfs scrub resume / data

Listando os subvolumes:

bash btrfs subvolume list /Reports

Criando um instantâneo dos subvolumes:

Aqui, estamos criando um instantâneo de leitura e gravação chamado snap de marketing do subvolume de marketing.

bash btrfs subvolume snapshot /Reports/marketing /Reports/marketing-snap

Além disso, você pode criar um instantâneo somente leitura usando o sinalizador -r conforme mostrado. O marketing-rosnap é um instantâneo somente leitura do subvolume de marketing

bash btrfs subvolume snapshot -r /Reports/marketing /Reports/marketing-rosnap

Forçar a sincronização do sistema de arquivos usando o utilitário 'sync'

Para forçar a sincronização do sistema de arquivos, invoque a opção de sincronização conforme mostrado. Observe que o sistema de arquivos já deve estar montado para que o processo de sincronização continue com sucesso.

bash btrfs filsystem sync /Reports

Para excluir o dispositivo do sistema de arquivos, use o comando device delete conforme mostrado.

bash btrfs device delete /dev/sdc /Reports

Para sondar o status de um scrub, use o comando scrub status com a opção -dR .

bash btrfs scrub status -dR / Relatórios

Para cancelar a execução do scrub, use o comando scrub cancel .

bash $ sudo btrfs scrub cancel / Reports

Para retomar ou continuar com uma depuração interrompida anteriormente, execute o comando de cancelamento de depuração

bash sudo btrfs scrub resume /Reports

mostra o uso do dispositivo de armazenamento:

btrfs filesystem usage /data

Para distribuir os dados, metadados e dados do sistema em todos os dispositivos de armazenamento do RAID (incluindo o dispositivo de armazenamento recém-adicionado) montados no diretório /data , execute o seguinte comando:

sudo btrfs balance start --full-balance /data

Pode demorar um pouco para espalhar os dados, metadados e dados do sistema em todos os dispositivos de armazenamento do RAID se ele contiver muitos dados.

Opções importantes de montagem Btrfs

Nesta seção, vou explicar algumas das importantes opções de montagem do Btrfs. Então vamos começar.

As opções de montagem Btrfs mais importantes são:

**1. acl e noacl

**ACL gerencia permissões de usuários e grupos para os arquivos/diretórios do sistema de arquivos Btrfs.

A opção de montagem acl Btrfs habilita ACL. Para desabilitar a ACL, você pode usar a opção de montagem noacl .

Por padrão, a ACL está habilitada. Portanto, o sistema de arquivos Btrfs usa a opção de montagem acl por padrão.

**2. autodefrag e noautodefrag

**Desfragmentar um sistema de arquivos Btrfs melhorará o desempenho do sistema de arquivos reduzindo a fragmentação de dados.

A opção de montagem autodefrag permite a desfragmentação automática do sistema de arquivos Btrfs.

A opção de montagem noautodefrag desativa a desfragmentação automática do sistema de arquivos Btrfs.

Por padrão, a desfragmentação automática está desabilitada. Portanto, o sistema de arquivos Btrfs usa a opção de montagem noautodefrag por padrão.

**3. compactar e compactar-forçar

**Controla a compactação de dados no nível do sistema de arquivos do sistema de arquivos Btrfs.

A opção compactar compacta apenas os arquivos que valem a pena compactar (se compactar o arquivo economizar espaço em disco).

A opção compress-force compacta todos os arquivos do sistema de arquivos Btrfs, mesmo que a compactação do arquivo aumente seu tamanho.

O sistema de arquivos Btrfs suporta muitos algoritmos de compactação e cada um dos algoritmos de compactação possui diferentes níveis de compactação.

Os algoritmos de compactação suportados pelo Btrfs são: lzo , zlib (nível 1 a 9) e zstd (nível 1 a 15).

Você pode especificar qual algoritmo de compactação usar para o sistema de arquivos Btrfs com uma das seguintes opções de montagem:

• compress=algoritmo:nível
• compress-force=algoritmo:nível

Para obter mais informações, consulte meu artigo Como habilitar a compactação do sistema de arquivos Btrfs .

**4. subvol e subvolid

**Estas opções de montagem são usadas para montar separadamente um subvolume específico de um sistema de arquivos Btrfs.

A opção de montagem subvol é usada para montar o subvolume de um sistema de arquivos Btrfs usando seu caminho relativo.

A opção de montagem subvolid é usada para montar o subvolume de um sistema de arquivos Btrfs usando o ID do subvolume.

Para obter mais informações, consulte meu artigo Como criar e montar subvolumes Btrfs .

**5. dispositivo

A opção de montagem de dispositivo** é usada no sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs.

Em alguns casos, o sistema operacional pode falhar ao detectar os dispositivos de armazenamento usados em um sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs. Nesses casos, você pode usar a opção de montagem do dispositivo para especificar os dispositivos que deseja usar para o sistema de arquivos de vários dispositivos Btrfs ou RAID.

Você pode usar a opção de montagem de dispositivo várias vezes para carregar diferentes dispositivos de armazenamento para o sistema de arquivos de vários dispositivos Btrfs ou RAID.

Você pode usar o nome do dispositivo (ou seja, sdb , sdc ) ou UUID , UUID_SUB ou PARTUUID do dispositivo de armazenamento com a opção de montagem do dispositivo para identificar o dispositivo de armazenamento.

Por exemplo,

• dispositivo=/dev/sdb
• dispositivo=/dev/sdb,dispositivo=/dev/sdc
• dispositivo=UUID_SUB=490a263d-eb9a-4558-931e-998d4d080c5d
• device=UUID_SUB=490a263d-eb9a-4558-931e-998d4d080c5d,device=UUID_SUB=f7ce4875-0874-436a-b47d-3edef66d3424

**6. degraded

A opção de montagem degradada** permite que um RAID Btrfs seja montado com menos dispositivos de armazenamento do que o perfil RAID requer.

Por exemplo, o perfil raid1 requer a presença de 2 dispositivos de armazenamento. Se um dos dispositivos de armazenamento não estiver disponível em qualquer caso, você usa a opção de montagem degradada para montar o RAID mesmo que 1 de 2 dispositivos de armazenamento esteja disponível.

**7. commit

A opção commit** mount é usada para definir o intervalo (em segundos) dentro do qual os dados serão gravados no dispositivo de armazenamento.

O padrão é definido como 30 segundos.

Para definir o intervalo de confirmação para 15 segundos, você pode usar a opção de montagem commit=15 (digamos).

**8. ssd e nossd

A opção de montagem ssd** informa ao sistema de arquivos Btrfs que o sistema de arquivos está usando um dispositivo de armazenamento SSD, e o sistema de arquivos Btrfs faz a otimização SSD necessária.

A opção de montagem nossd desativa a otimização do SSD.

O sistema de arquivos Btrfs detecta automaticamente se um SSD é usado para o sistema de arquivos Btrfs. Se um SSD for usado, a opção de montagem de SSD será habilitada. Caso contrário, a opção de montagem nossd é habilitada.

**9. ssd_spread e nossd_spread

A opção de montagem ssd_spread** tenta alocar grandes blocos contínuos de espaço não utilizado do SSD. Esse recurso melhora o desempenho de SSDs de baixo custo (baratos).

A opção de montagem nossd_spread desativa o recurso ssd_spread .

O sistema de arquivos Btrfs detecta automaticamente se um SSD é usado para o sistema de arquivos Btrfs. Se um SSD for usado, a opção de montagem ssd_spread será habilitada. Caso contrário, a opção de montagem nossd_spread é habilitada.

**10. descarte e nodiscard

Se você estiver usando um SSD que suporte TRIM enfileirado assíncrono (SATA rev3.1), a opção de montagem de descarte** permitirá o descarte de blocos de arquivos liberados. Isso melhorará o desempenho do SSD.

Se o SSD não suportar TRIM enfileirado assíncrono, a opção de montagem de descarte prejudicará o desempenho do SSD. Nesse caso, a opção de montagem nodiscard deve ser usada.

Por padrão, a opção de montagem nodiscard é usada.

**11. norecovery

Se a opção de montagem norecovery** for usada, o sistema de arquivos Btrfs não tentará executar a operação de recuperação de dados no momento da montagem.

**12. usebackuproot e nousebackuproot

Se a opção de montagem usebackuproot for usada, o sistema de arquivos Btrfs tentará recuperar qualquer raiz de árvore ruim/corrompida no momento da montagem. O sistema de arquivos Btrfs pode armazenar várias raízes de árvore no sistema de arquivos. A opção de montagem usebackuproot** procurará uma boa raiz de árvore e usará a primeira boa que encontrar.

A opção de montagem nousebackuproot não verificará ou recuperará raízes de árvore inválidas/corrompidas no momento da montagem. Este é o comportamento padrão do sistema de arquivos Btrfs.

**13. space_cache, space_cache=version, nospace_cache e clear_cache

A opção de montagem space_cache** é usada para controlar o cache de espaço livre. O cache de espaço livre é usado para melhorar o desempenho da leitura do espaço livre do grupo de blocos do sistema de arquivos Btrfs na memória (RAM).

O sistema de arquivos Btrfs suporta 2 versões do cache de espaço livre: v1 (padrão) e v2

O mecanismo de cache de espaço livre v2 melhora o desempenho de sistemas de arquivos grandes (tamanho de vários terabytes).

Você pode usar a opção de montagem space_cache=v1 para definir a v1 do cache de espaço livre e a opção de montagem space_cache=v2 para definir a v2 do cache de espaço livre.

A opção de montagem clear_cache é usada para limpar o cache de espaço livre.

Quando o cache de espaço livre v2 é criado, o cache deve ser limpo para criar um cache de espaço livre v1 .

Portanto, para usar o cache de espaço livre v1 após a criação do cache de espaço livre v2 , as opções de montagem clear_cache e space_cache=v1 devem ser combinadas: clear_cache,space_cache=v1

A opção de montagem nospace_cache é usada para desabilitar o cache de espaço livre.

Para desabilitar o cache de espaço livre após a criação do cache v1 ou v2 , as opções de montagem nospace_cache e clear_cache devem ser combinadas: clear_cache,nosapce_cache

**14. skip_balance

Por padrão, a operação de balanceamento interrompida/pausada de um sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs será retomada automaticamente assim que o sistema de arquivos Btrfs for montado. Para desabilitar a retomada automática da operação de equilíbrio interrompido/pausado em um sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs, você pode usar a opção de montagem skip_balance .**

**15. datacow e nodatacow

A opção datacow** mount habilita o recurso Copy-on-Write (CoW) do sistema de arquivos Btrfs. É o comportamento padrão.

Se você deseja desabilitar o recurso Copy-on-Write (CoW) do sistema de arquivos Btrfs para os arquivos recém-criados, monte o sistema de arquivos Btrfs com a opção de montagem nodatacow .

**16. datasum e nodatasum

A opção datasum** mount habilita a soma de verificação de dados para arquivos recém-criados do sistema de arquivos Btrfs. Este é o comportamento padrão.

Se você não quiser que o sistema de arquivos Btrfs faça a soma de verificação dos dados dos arquivos recém-criados, monte o sistema de arquivos Btrfs com a opção de montagem nodatasum .

Perfis Btrfs

Um perfil Btrfs é usado para informar ao sistema de arquivos Btrfs quantas cópias dos dados/metadados devem ser mantidas e quais níveis de RAID devem ser usados para os dados/metadados. O sistema de arquivos Btrfs contém muitos perfis. Entendê-los o ajudará a configurar um RAID Btrfs da maneira que você deseja.

Os perfis Btrfs disponíveis são os seguintes:

single : Se o perfil único for usado para os dados/metadados, apenas uma cópia dos dados/metadados será armazenada no sistema de arquivos, mesmo se você adicionar vários dispositivos de armazenamento ao sistema de arquivos. Assim, 100% do espaço em disco de cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos pode ser utilizado.

dup : Se o perfil dup for usado para os dados/metadados, cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos manterá duas cópias dos dados/metadados. Assim, 50% do espaço em disco de cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos pode ser utilizado.

raid0 : No perfil raid0 , os dados/metadados serão divididos igualmente em todos os dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, não haverá dados/metadados redundantes (duplicados). Assim, 100% do espaço em disco de cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos pode ser usado. Se, em qualquer caso, um dos dispositivos de armazenamento falhar, todo o sistema de arquivos será corrompido. Você precisará de pelo menos dois dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid0 .

raid1 : No perfil raid1 , duas cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, a matriz RAID pode sobreviver a uma falha de unidade. Mas você pode usar apenas 50% do espaço total em disco. Você precisará de pelo menos dois dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid1 .

raid1c3 : No perfil raid1c3 , três cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, a matriz RAID pode sobreviver a duas falhas de unidade, mas você pode usar apenas 33% do espaço total em disco. Você precisará de pelo menos três dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid1c3 .

raid1c4 : No perfil raid1c4 , quatro cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, a matriz RAID pode sobreviver a três falhas de unidade, mas você pode usar apenas 25% do espaço total em disco. Você precisará de pelo menos quatro dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid1c4 .

raid10 : No perfil raid10 , duas cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos, como no perfil raid1 . Além disso, os dados/metadados serão divididos entre os dispositivos de armazenamento, como no perfil raid0 .

O perfil raid10 é um híbrido dos perfis raid1 e raid0 . Alguns dos dispositivos de armazenamento formam arrays raid1 e alguns desses arrays raid1 são usados para formar um array raid0 . Em uma configuração raid10 , o sistema de arquivos pode sobreviver a uma única falha de unidade em cada uma das matrizes raid1 .

Você pode usar 50% do espaço total em disco na configuração raid10 . Você precisará de pelo menos quatro dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid10 .

raid5 : No perfil raid5 , uma cópia dos dados/metadados será dividida entre os dispositivos de armazenamento. Uma única paridade será calculada e distribuída entre os dispositivos de armazenamento do array RAID.

Em uma configuração raid5 , o sistema de arquivos pode sobreviver a uma única falha de unidade. Se uma unidade falhar, você pode adicionar uma nova unidade ao sistema de arquivos e os dados perdidos serão calculados a partir da paridade distribuída das unidades em execução.

Você pode usar 1 00x(N-1)/N % do total de espaços em disco na configuração raid5 . Aqui, N é o número de dispositivos de armazenamento adicionados ao sistema de arquivos. Você precisará de pelo menos três dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid5 .

raid6 : No perfil raid6 , uma cópia dos dados/metadados será dividida entre os dispositivos de armazenamento. Duas paridades serão calculadas e distribuídas entre os dispositivos de armazenamento do array RAID.

Em uma configuração raid6 , o sistema de arquivos pode sobreviver a duas falhas de unidade ao mesmo tempo. Se uma unidade falhar, você poderá adicionar uma nova unidade ao sistema de arquivos e os dados perdidos serão calculados a partir das duas paridades distribuídas das unidades em execução.

Você pode usar 100x(N-2)/N % do espaço total em disco na configuração raid6 . Aqui, N é o número de dispositivos de armazenamento adicionados ao sistema de arquivos. Você precisará de pelo menos quatro dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid6 .

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What is Growth Engineering? Before we start: if you’ve already filled out the What is your tech stack? survey: thank you! If you’ve not done so, your help will be greatly appreciated. It takes 5-15 minutes to complete. Those filling out will receive results before anyone else, and additional analysis from myself and Elin. Fill out this survey here.**

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Growth engineering was barely known a decade ago, but today, most scaleups and many publicly traded tech companies have dedicated growth teams staffed by growth engineers. However, some software engineers are still suspicious of this new area because of its reputation for hacky code with little to no code coverage.

For this reason and others, I thought it would be interesting to learn more from an expert who can tell us all about the practicalities of this controversial domain. So I turned to Alexey Komissarouk, who’s been in growth engineering since 2016, and was in charge of it at online education platform, MasterClass. These days, Alexey lives in Tokyo, Japan, where he advises on growth engineering and teaches the Growth Engineering course at Reforge.

In today’s deep dive, Alexey covers:

1. What is Growth Engineering? In the simplest terms: writing code to help a company make more money. But there are details to consider: like the company size where it makes sense to have a dedicated team do this.
2. What do Growth Engineers work on? Business-facing work, empowerment and platform work are the main areas.
3. Why Growth Engineers move faster than Product Engineers. Product Engineers ship to build: Growth Engineers ship to learn. Growth Engineers do take shortcuts that would make no sense when building for longevity – doing this on purpose.
4. Tech stack. Common programming languages, monitoring and oncall, feature flags and experimentation, product analytics, review apps, and more.
5. What makes a good Growth Engineer? Curiosity, “build to learn” mindset and a “Jack of all trades” approach.
6. Where do Growth Engineers fit in? Usually part of the engineering department, either operating as with an “owner” or a “hitchiker” model.
7. Becoming a Growth Engineer. A great area if you want to eventually become a founder or product manager – but even if not, it can accelerate your career growth. Working in Growth forces you to learn more about the business.

With that, it’s over to Alexey:

I’ll never forget the first time I made my employer a million dollars.

I was running a push notification A/B test for meal delivery startup Sprig, trying to boost repeat orders.

A push notification similar to what we tested to boost repeat orders

Initial results were unpromising; the push notification was not receiving many opens. Still, I wanted to be thorough: before concluding the idea was a failure, I wrote a SQL query to compare order volume for subsequent weeks between customers in test vs control.

The SQL used to figure out the push notification’s efficiency

As it turned out, our test group “beat” the control group by around 10%:

‘review_5_push’ was the new type of push notification. Roughly the same amount of users clicked it, but they placed 10% more in orders

I plugged the numbers into a significance calculator, which showed it was statistically significant – or “stat-sig” – and therefore highly unlikely to be a coincidence. This meant we had a winner on our hands! But how meaningful was it, really, and what would adding the push notification mean for revenue, if rolled out to 100% of users?

It turned out this experiment created an additional $1.5 million dollars, annually, with just one push notification. Wow!

I was hooked. Since that day, I've shipped hundreds of experimental “winners” which generated hundreds of millions of incremental revenue for my employers. But you never forget the first one. Moments like this is what growth engineering is all about.

1. What is Growth Engineering?

Essentially, growth engineering is the writing of code to make a company money. Of course, all code produced by a business on some level serves this purpose, but while Product Engineers focus on creating a Product worth paying for, Growth Engineers instead focus on making that good product have a good business. To this end, they focus on optimizing and refining key parts of the customer journey, such as:

• Getting more people to consider the product
• Converting them into paying customers
• Keeping them as customers for longer, and spending more

What kinds of companies employ Growth Engineers? Places you’ve heard of, like Meta, LinkedIn, DoorDash, Coinbase, and Dropbox, are some of the ones I’ve had students from. There’s also OpenAI, Uber, Tiktok, Tinder, Airbnb, Pinterest… the list of high-profile companies goes on. Most newer public consumer companies you’ve heard have a growth engineering org, too.

Typically, growth engineering orgs are started by companies at Series B stage and beyond, so long as they are selling to either consumers or businesses via SaaS. These are often places trying to grow extremely fast, and have enough software engineers that some can focus purely on growth. Before the Series B stage, a team is unlikely to be ready for growth for various reasons; likely that it hasn’t found product-market fit, or has no available headcount, or lacks the visitor traffic required to run A/B tests.

Cost is a consideration. A fully-loaded growth team consisting of a handful of engineers, a PM, and a designer costs approximately 1 million dollars annually. To justify this, a rule of thumb is to have at least $5 million dollars in recurring revenue – a milestone often achieved at around the Series B stage.

Despite the presence of growth engineering at many public consumer tech companies, the field itself is still quite new, as a discipline and as a proper title.

Brief history of growth engineering

When I joined Opendoor in 2016, there was a head of growth but no dedicated growth engineers, but there were by the time I left in 2020. At MasterClass soon after, there was a growth org and a dozen dedicated growth engineers. So when did growth engineering originate?

The story is that its origins lie at Facebook in 2007. The team was created by then-VP of platform and monetization Chamath Palihapitiya. Reforce founder and CEO Brian Balfour shares:

“Growth (the kind found on an org chart) began at Facebook under the direction of Chamath Palihapitiya. In 2007, he joined the early team in a nebulous role that fell somewhere between Product, Marketing, and Operations. According to his retelling of the story on Recode Decode, after struggling to accomplish anything meaningful in his first year on the job, he was on the verge of being fired.Sheryl Sandberg joined soon after him, and in a hail mary move he pitched her the game-changing idea that led to the creation of the first-ever growth team. This idea not only saved his job, but earned him the lion’s share of the credit for Facebook’s unprecedented growth.At the time, Sheryl and Mark asked him, “What do you call this thing where you help change the product, do some SEO and SEM, and algorithmically do this or that?”His response: “I don’t know, I just call that, like, Growth, you know, we’re going to try to grow. I’ll be the head of growing stuff."And just like that, Growth became a thing.”

Rather than focus on a particular product or feature, the growth team at Facebook focused on moving the needle, and figuring out which features to work on. These days, Meta employs hundreds if not thousands of growth engineers.

2. What do Growth Engineers work on?

Before we jump into concrete examples, let’s identify three primary focus areas that a growth engineer’s work usually involves.

• Business-facing work – improving the business directly
• Empowerment work – enabling other teams to improve the business
• Platform work – improving the velocity of the above activities

Let’s go through all three:

Business-facing work

This is the bread and butter of growth engineering, and follows a common pattern:

• Implement an idea. Try something big or small to try and move a key business metric, which differs by team but is typically related to conversion rate or retention.
• Quantify impact. Usually via A/B testing.
• Analyze impact. Await results, analyze impact, ship or roll back – then go back to the first step.

Experiments can lead to sweeping or barely noticeable changes. A famous “I can’t believe they needed to test this” was when Google figured out which shade of blue generates the most clicks. At MasterClass, we tested things across the spectrum:

• Small: should we show the price right on the homepage, was that a winner? Yes, but we framed it in monthly terms of $15/month, not $180/year.
• Medium: when browsing a course page, should we include related courses, or more details about the course itself? Was it a winner? After lengthy experimentation, it was hard to tell: both are valuable and we needed to strike the right balance.
• Large: when a potential customer is interested, do we take them straight to checkout, or encourage them to learn more? Counterintuitively, adding steps boosted conversion!

Empowerment

One of the best ways an engineer can move a target metric is by removing themselves as a bottleneck, so colleagues from marketing can iterate and optimize freely. To this end, growth engineers can either build internal tools or integrate self-serve MarTech (Marketing Technology) vendors.

With the right tool, there’s a lot that marketers can do without engineering’s involvement:

• Build and iterate on landing pages (Unbounce, Instapage, etc)
• Draft and send email, SMS and Push Notifications (Iterable, Braze, Customer.io, etc)
• Connect new advertising partners (Google Tag Manager, Segment, etc)

We go more into detail about benefits and applications in the MarTech section of Tech Stack, below.

Platform work

As a business scales, dedicated platform teams help improve stability and velocity for the teams they support. Within growth, this often includes initiatives like:

• Experiment Platform. Many parts of running an experiment can be standardized, from filtering the audience, to bucketing users properly, to observing statistical methodology. Historically, companies built reusable Experiment Platforms in-house, but more recently, vendors such as Eppo and Statsig have grown in popularity with fancy statistical methodologies like “Controlled Using Pre-Experiment Data” (CUPED) that give more signal with less data.
• Reusable components. Companies with standard front-end components for things like headlines, buttons, and images, dramatically reduce the time required to spin up a new page. No more "did you want 5 or 6 pixels here" with a designer; instead growth engineers rely on tools like Storybook to standardize and share reusable React components.
• Monitoring. Growth engineering benefits greatly from leveraging monitoring to compensate for reduced code coverage. High-quality business metric monitoring tools can detect bugs before they cause damage.

When I worked at MasterClass, having monitoring at the ad layer prevented at least one six-figure incident. One Friday, a marketer accidentally broadened the audience for a particular ad from US-only, to worldwide. In response, the Facebook Ad algorithm went on a spending spree, bringing in plenty of visitors from places like Brazil and India, whom we knew from past experience were unlikely to purchase the product. Fortunately, our monitoring noticed the low-performing campaign within minutes, and an alert was sent to the growth engineer on-call, who immediately reached out to the marketer and confirmed the change was unintentional, and then shut down the campaign.

Without this monitoring, a subtle targeting error like this could have gone unnoticed all weekend and would have eaten up $100,000+ of marketing budget. This episode shows that platform investment can benefit everyone; and since growth needs them most, it’s often the growth platform engineering team which implements them.

As the day-to-day work of a Growth Engineer shows, A/B tests are a critical tool to both measure success and learn. It’s a numbers game: the more A/B tests a team can run in a given quarter, the more of them will end up winners, making the team successful. It’s no wonder, then, that Growth Engineering will pull out all the stops to improve velocity.

3. Why Growth Engineers move faster than Product Engineers

On the surface, growth engineering teams look like product engineering ones; writing code, shipping pull requests, monitoring on-call, etc. So how do they move so much faster? The big reason lies in philosophy and focus, not technology. To quote Elena Verna, head of growth at Dropbox:

“Product Engineering teams ship to build; Growth Engineering teams ship to learn.”

Real-world case: price changes at Masterclass

A few years ago at MasterClass, the growth team wanted to see if changing our pricing model to multiple tiers would improve revenue.

Inspired in part by multiple pricing tiers for competitors such as Netflix (above), Disney Plus, and Hulu.

The “multiple pricing tier” proposal for MasterClass.

From a software engineering perspective, this was a highly complex project because:

• Backend engineering work: the backend did not yet support multiple pricing options, requiring a decent amount of engineering, and rigorous testing to make sure existing customers weren’t affected.
• Client app changes: on the device side, multiple platforms (iOS, iPad, Android, Roku, Apple TV, etc) would each need to be updated, including each relevant app store.

The software engineering team estimated that becoming a “multi-pricing-tier” company would take months across numerous engineering teams, and engineering leadership was unwilling to greenlight that significant investment.

We in growth engineering took this as a challenge. As usual, our goal was not just to add the new pricing model, but to learn how much money it might bring in. The approach we ended up proposing was a Fake Door test, which involves offering a not-yet-available option to customers to gauge interest level. This was risky, as taking a customer who’s ready to pay and telling them to join some kind of waiting list is a colossal waste, and risks making them feel like the target of a “bait and switch” trick.

We found a way. The key insight was that people are only offended about a “bait and switch”, if the “switch” is worse than the “bait.” Telling customers they would pay $100 and then switching to $150 would cause a riot, but starting at $150 and then saying “just kidding, it’s only $100” is a pleasant surprise.

The good kind of surprise.

So long as every test “pricing tier” is less appealing – higher prices, fewer features – than the current offering, we could “upgrade” customers after their initial selection. A customer choosing the cheapest tier gets extra features at no extra cost, while a customer choosing a more expensive tier is offered a discount.

We created three new tiers, at different prices. The new “premium” tier would describe the existing, original offering. Regardless of what potential customers selected, they got this “original offering,” during the experiment.

The best thing about this was that no backend changes were required. There were no real, new, back-end pricing plans; everybody ended up purchasing the same version of MasterClass for the same price, with the same features. The entirety of the engineering work was on building a new pricing page, and the “congratulations, you’ve been upgraded” popup. This took just a few days.

Within a couple of weeks, we had enough data to be confident the financial upside of moving to a multi-pricing-tier model would be significant. With this, we’re able to convince the rest of engineering’s leadership to invest in building the feature properly. In the end, launching multiple pricing tiers turned out to be one of the biggest revenue wins of the year.

Building a skyscraper vs building a tent

The MasterClass example demonstrates the spirit of growth engineering; focusing on building to learn, instead of building to last. Consider building skyscrapers versus tents.

Building a tent optimizes for speed of set-up and tear-down over longevity. You don’t think of a tent as one that is shoddy or low-quality compared to skyscrapers: it’s not even the same category of buildings! Growth engineers maximize use of lightweight materials. To stick with the tents vs skyscraper metaphor: we prioritize lightweight fabric materials over steel and concrete whenever possible. We only resort to traditional building materials when there’s no other choice, or when a direction is confirmed as correct. Quality is important – after all, a tent must keep out rain and mosquitoes. However, the speed-vs-durability tradeoff decision results in very different approaches and outcomes.

4. Tech stack

At first glance, growth and product engineers use the same tooling, and contribute to the same codebases. But growth engineering tends to be high-velocity, experiment-heavy, and with limited test coverage. This means that certain “nice to have” tools for product engineering are mission-critical for growth engineers.

Read more https://connect-test.layer3.press/articles/ea02c1a1-7cfa-42b4-8722-0165abcae8bb

@ 04c915da:3dfbecc9

Capitalism is the most effective system for scaling innovation. The pursuit of profit is an incredibly powerful human incentive. Most major improvements to human society and quality of life have resulted from this base incentive. Market competition often results in the best outcomes for all.

That said, some projects can never be monetized. They are open in nature and a business model would centralize control. Open protocols like bitcoin and nostr are not owned by anyone and if they were it would destroy the key value propositions they provide. No single entity can or should control their use. Anyone can build on them without permission.

As a result, open protocols must depend on donation based grant funding from the people and organizations that rely on them. This model works but it is slow and uncertain, a grind where sustainability is never fully reached but rather constantly sought. As someone who has been incredibly active in the open source grant funding space, I do not think people truly appreciate how difficult it is to raise charitable money and deploy it efficiently.

Projects that can be monetized should be. Profitability is a super power. When a business can generate revenue, it taps into a self sustaining cycle. Profit fuels growth and development while providing projects independence and agency. This flywheel effect is why companies like Google, Amazon, and Apple have scaled to global dominance. The profit incentive aligns human effort with efficiency. Businesses must innovate, cut waste, and deliver value to survive.

Contrast this with non monetized projects. Without profit, they lean on external support, which can dry up or shift with donor priorities. A profit driven model, on the other hand, is inherently leaner and more adaptable. It is not charity but survival. When survival is tied to delivering what people want, scale follows naturally.

The real magic happens when profitable, sustainable businesses are built on top of open protocols and software. Consider the many startups building on open source software stacks, such as Start9, Mempool, and Primal, offering premium services on top of the open source software they build out and maintain. Think of companies like Block or Strike, which leverage bitcoin’s open protocol to offer their services on top. These businesses amplify the open software and protocols they build on, driving adoption and improvement at a pace donations alone could never match.

When you combine open software and protocols with profit driven business the result are lean, sustainable companies that grow faster and serve more people than either could alone. Bitcoin’s network, for instance, benefits from businesses that profit off its existence, while nostr will expand as developers monetize apps built on the protocol.

Capitalism scales best because competition results in efficiency. Donation funded protocols and software lay the groundwork, while market driven businesses build on top. The profit incentive acts as a filter, ensuring resources flow to what works, while open systems keep the playing field accessible, empowering users and builders. Together, they create a flywheel of innovation, growth, and global benefit.

@ bd4ae3e6:1dfb81f5

@ 21335073:a244b1ad

I want to see Nostr succeed. If you can think of a way I can help make that happen, I’m open to it. I’d like your suggestions.

My schedule’s shifting soon, and I could volunteer a few hours a week to a Nostr project. I won’t have more total time, but how I use it will change.

Why help? I care about freedom. Nostr’s one of the most powerful freedom tools I’ve seen in my lifetime. If I believe that, I should act on it.

I don’t care about money or sats. I’m not rich, I don’t have extra cash. That doesn’t drive me—freedom does. I’m volunteering, not asking for pay.

I’m not here for clout. I’ve had enough spotlight in my life; it doesn’t move me. If I wanted clout, I’d be on Twitter dropping basic takes. Clout’s easy. Freedom’s hard. I’d rather help anonymously. No speaking at events—small meetups are cool for the vibe, but big conferences? Not my thing. I’ll never hit a huge Bitcoin conference. It’s just not my scene.

That said, I could be convinced to step up if it’d really boost Nostr—as long as it’s legal and gets results.

In this space, I’d watch for social engineering. I watch out for it. I’m not here to make friends, just to help. No shade—you all seem great—but I’ve got a full life and awesome friends irl. I don’t need your crew or to be online cool. Connect anonymously if you want; I’d encourage it.

I’m sick of watching other social media alternatives grow while Nostr kinda stalls. I could trash-talk, but I’d rather do something useful.

Skills? I’m good at spotting social media problems and finding possible solutions. I won’t overhype myself—that’s weird—but if you’re responding, you probably see something in me. Perhaps you see something that I don’t see in myself.

If you need help now or later with Nostr projects, reach out. Nostr only—nothing else. Anonymous contact’s fine. Even just a suggestion on how I can pitch in, no project attached, works too. 💜

Creeps or harassment will get blocked or I’ll nuke my simplex code if it becomes a problem.

https://simplex.chat/contact#/?v=2-4&smp=smp%3A%2F%2FSkIkI6EPd2D63F4xFKfHk7I1UGZVNn6k1QWZ5rcyr6w%3D%40smp9.simplex.im%2FbI99B3KuYduH8jDr9ZwyhcSxm2UuR7j0%23%2F%3Fv%3D1-2%26dh%3DMCowBQYDK2VuAyEAS9C-zPzqW41PKySfPCEizcXb1QCus6AyDkTTjfyMIRM%253D%26srv%3Djssqzccmrcws6bhmn77vgmhfjmhwlyr3u7puw4erkyoosywgl67slqqd.onion

@ 58537364:705b4b85

คนเรามักจะเห็นคุณค่าของสิ่งใด ส่วนใหญ่ก็ใน ๒ สถานการณ์คือ หนึ่ง ตอนที่ยังไม่ได้มา หรือ สอง ตอนที่เสียไปแล้ว

อันนี้มันเป็นโศกนาฏกรรม ที่เกิดขึ้นกับผู้คนจำนวนมาก การที่คนเรามีสิ่งดีๆ แต่ว่าเราไม่เห็นคุณค่า เพราะว่าเรามองออกไปนอกตัว ไปเห็นแต่สิ่งที่ตัวเองไม่มี อยากจะได้มา

คล้ายๆ กับเรื่อง หมาคาบเนื้อในนิทานอีสป ตอนเด็กๆ เราคงจำได้ มีหมาตัวหนึ่งคาบเนื้อมา เนื้อชิ้นใหญ่เลย มันดีใจมากแล้วมันก็วิ่งไปยังที่ที่ มันจะได้กินเนื้ออย่างมีความสุข มีช่วงหนึ่งก็ต้องเดินข้ามสะพาน มันก็ชะโงกหน้าไปมองที่ลำธารหรือลำคลอง

ก็เห็นเงาตัวเอง เงานั่นมันก็ใหญ่ แล้วมันก็พบว่าในเงานั้น เนื้อในเงามันใหญ่กว่าเนื้อที่ตัวเองคาบ มันอยากได้เนื้อก้อนนั้นมากเลย เพราะว่ามันเป็นก้อนที่ใหญ่กว่า

มันก็เลยอ้าปาก เพื่อที่จะไปงับเนื้อในเงานั้น พอมันอ้าปาก ก็ปรากฏว่าเนื้อในปาก ก็หลุดตกลงแม่น้ำ แล้วเนื้อในเงานั้นก็หายไป เป็นอันว่าหมดเลย อดทั้ง 2 อย่าง .

ฉะนั้น คนเราถ้าหากเรา กลับมาเห็นคุณค่าของสิ่งที่เรามีอยู่ เราจะมีความสุขได้ง่าย อาจจะไม่ใช่สิ่งของ อาจจะไม่ใช่ผู้คน แต่อาจจะเป็นสุขภาพของเรา

อาจจะได้แก่ ลมหายใจของเรา ที่ยังหายใจได้ปกติ รวมถึงการที่ เรายังเดินเหินไปไหนมาไหนได้ การที่เรายังมองเห็น การที่เรายังได้ยิน

หลายคนมีสิ่งนี้อยู่ในตัว แต่กลับไม่เห็นค่า และไม่รู้สึกว่าตัวเองโชคดี กลับไปมองว่า ฉันยังไม่มีโน่นยังไม่มีนี่ ไม่มีบ้าน ไม่มีรถ ไม่มีเงิน

รู้สึกว่าทุกข์ระทมเหลือเกิน

ทำไมฉันจึงลำบากแบบนี้ ทั้งที่ตัวเองก็มีสิ่งดีๆ ในตัว สุขภาพ ความปกติสุข อิสรภาพที่เดินไปไหนมาไหนได้

แต่กลับไม่เห็นค่า เพราะว่ามัวแต่ไปสนใจสิ่งที่ตัวเองยังไม่มี

ซึ่งเป็นอนาคต

ถ้าเราหันกลับมาเห็นคุณค่าของสิ่งที่เรามีอยู่ แล้วก็ไม่ไปพะวงหรือให้ความสนใจกับสิ่งที่ยังไม่มี เราจะมีความสุขได้ง่าย อันนี้คือ ความหมายหนึ่งของการทำปัจจุบันให้ดีที่สุด

…

การทำปัจจุบันให้ดีที่สุด พระอาจารย์ไพศาล วิสาโล

@ bd4ae3e6:1dfb81f5

@ c1e9ab3a:9cb56b43

Abstract

This document proposes a novel architecture that decouples the peer-to-peer (P2P) communication layer from the Bitcoin protocol and replaces or augments it with the Nostr protocol. The goal is to improve censorship resistance, performance, modularity, and maintainability by migrating transaction propagation and block distribution to the Nostr relay network.

Introduction

Bitcoin’s current architecture relies heavily on its P2P network to propagate transactions and blocks. While robust, it has limitations in terms of flexibility, scalability, and censorship resistance in certain environments. Nostr, a decentralized event-publishing protocol, offers a multi-star topology and a censorship-resistant infrastructure for message relay.

This proposal outlines how Bitcoin communication could be ported to Nostr while maintaining consensus and verification through standard Bitcoin clients.

Motivation

• Enhanced Censorship Resistance: Nostr’s architecture enables better relay redundancy and obfuscation of transaction origin.
• Simplified Lightweight Nodes: Removing the full P2P stack allows for lightweight nodes that only verify blockchain data and communicate over Nostr.
• Architectural Modularity: Clean separation between validation and communication enables easier auditing, upgrades, and parallel innovation.
• Faster Propagation: Nostr’s multi-star network may provide faster propagation of transactions and blocks compared to the mesh-like Bitcoin P2P network.

Architecture Overview

Components

1. Bitcoin Minimal Node (BMN):

   • Verifies blockchain and block validity.
   • Maintains UTXO set and handles mempool logic.
   • Connects to Nostr relays instead of P2P Bitcoin peers.

2. Bridge Node:

   • Bridges Bitcoin P2P traffic to and from Nostr relays.
   • Posts new transactions and blocks to Nostr.
   • Downloads mempool content and block headers from Nostr.

3. Nostr Relays:

   • Accept Bitcoin-specific event kinds (transactions and blocks).
   • Store mempool entries and block messages.
   • Optionally broadcast fee estimation summaries and tipsets.

Event Format

Proposed reserved Nostr kind numbers for Bitcoin content (NIP/BIP TBD):

| Nostr Kind | Purpose | |------------|------------------------| | 210000 | Bitcoin Transaction | | 210001 | Bitcoin Block Header | | 210002 | Bitcoin Block | | 210003 | Mempool Fee Estimates | | 210004 | Filter/UTXO summary |

Transaction Lifecycle

1. Wallet creates a Bitcoin transaction.
2. Wallet sends it to a set of configured Nostr relays.
3. Relays accept and cache the transaction (based on fee policies).
4. Mining nodes or bridge nodes fetch mempool contents from Nostr.
5. Once mined, a block is submitted over Nostr.
6. Nodes confirm inclusion and update their UTXO set.

Security Considerations

• Sybil Resistance: Consensus remains based on proof-of-work. The communication path (Nostr) is not involved in consensus.
• Relay Discoverability: Optionally bootstrap via DNS, Bitcoin P2P, or signed relay lists.
• Spam Protection: Relay-side policy, rate limiting, proof-of-work challenges, or Lightning payments.
• Block Authenticity: Nodes must verify all received blocks and reject invalid chains.

Compatibility and Migration

• Fully compatible with current Bitcoin consensus rules.
• Bridge nodes preserve interoperability with legacy full nodes.
• Nodes can run in hybrid mode, fetching from both P2P and Nostr.

Future Work

• Integration with watch-only wallets and SPV clients using verified headers via Nostr.
• Use of Nostr’s social graph for partial trust assumptions and relay reputation.
• Dynamic relay discovery using Nostr itself (relay list events).

Conclusion

This proposal lays out a new architecture for Bitcoin communication using Nostr to replace or augment the P2P network. This improves decentralization, censorship resistance, modularity, and speed, while preserving consensus integrity. It encourages innovation by enabling smaller, purpose-built Bitcoin nodes and offloading networking complexity.

---

This document may become both a Bitcoin Improvement Proposal (BIP-XXX) and a Nostr Improvement Proposal (NIP-XXX). Event kind range reserved: 210000–219999.

@ 57d1a264:69f1fee1

You’ve probably seen it before.

You open an agency’s website or a freelancer’s portfolio. At the very top of the homepage, it says:

We design for startups.

You wait 3 seconds. The last word fades out and a new one fades in:

We design for agencies.

Wait 3 more seconds:

We design for founders.

I call this design pattern The Wheel of Nothing: a rotating list of audience segments meant to impress through inclusion and draw attention through motion… for absolutely no reason.

Revered brand studio Pentagram recently launched a new website. To my surprise, the homepage features the Wheel of Nothing front and center, boldly claiming:

We design Everything for Everyone…before cycling through more specific combinations every few seconds.

Dan Mall, a husband, dad, teacher, creative director, designer, founder, and entrepreneur from Philly. I share as much as I can to create better opportunities for those who wouldn’t have them otherwise. Most recently, I ran design system consultancy SuperFriendly for over a decade.

Read more at Dans' website https://danmall.com/posts/the-wheel-of-nothing/

https://stacker.news/items/986392

@ 04c915da:3dfbecc9

Bitcoin has always been rooted in freedom and resistance to authority. I get that many of you are conflicted about the US Government stacking but by design we cannot stop anyone from using bitcoin. Many have asked me for my thoughts on the matter, so let’s rip it.

Concern

One of the most glaring issues with the strategic bitcoin reserve is its foundation, built on stolen bitcoin. For those of us who value private property this is an obvious betrayal of our core principles. Rather than proof of work, the bitcoin that seeds this reserve has been taken by force. The US Government should return the bitcoin stolen from Bitfinex and the Silk Road.

Usually stolen bitcoin for the reserve creates a perverse incentive. If governments see a bitcoin as a valuable asset, they will ramp up efforts to confiscate more bitcoin. The precedent is a major concern, and I stand strongly against it, but it should be also noted that governments were already seizing coin before the reserve so this is not really a change in policy.

Ideally all seized bitcoin should be burned, by law. This would align incentives properly and make it less likely for the government to actively increase coin seizures. Due to the truly scarce properties of bitcoin, all burned bitcoin helps existing holders through increased purchasing power regardless. This change would be unlikely but those of us in policy circles should push for it regardless. It would be best case scenario for American bitcoiners and would create a strong foundation for the next century of American leadership.

Optimism

The entire point of bitcoin is that we can spend or save it without permission. That said, it is a massive benefit to not have one of the strongest governments in human history actively trying to ruin our lives.

Since the beginning, bitcoiners have faced horrible regulatory trends. KYC, surveillance, and legal cases have made using bitcoin and building bitcoin businesses incredibly difficult. It is incredibly important to note that over the past year that trend has reversed for the first time in a decade. A strategic bitcoin reserve is a key driver of this shift. By holding bitcoin, the strongest government in the world has signaled that it is not just a fringe technology but rather truly valuable, legitimate, and worth stacking.

This alignment of incentives changes everything. The US Government stacking proves bitcoin’s worth. The resulting purchasing power appreciation helps all of us who are holding coin and as bitcoin succeeds our government receives direct benefit. A beautiful positive feedback loop.

Realism

We are trending in the right direction. A strategic bitcoin reserve is a sign that the state sees bitcoin as an asset worth embracing rather than destroying. That said, there is a lot of work left to be done. We cannot be lulled into complacency, the time to push forward is now, and we cannot take our foot off the gas. We have a seat at the table for the first time ever. Let's make it worth it.

We must protect the right to free usage of bitcoin and other digital technologies. Freedom in the digital age must be taken and defended, through both technical and political avenues. Multiple privacy focused developers are facing long jail sentences for building tools that protect our freedom. These cases are not just legal battles. They are attacks on the soul of bitcoin. We need to rally behind them, fight for their freedom, and ensure the ethos of bitcoin survives this new era of government interest. The strategic reserve is a step in the right direction, but it is up to us to hold the line and shape the future.

@ 2f29aa33:38ac6f13

The Myth and the Magic

Picture this: a group of investors, huddled around a glowing computer screen, nervously watching Bitcoin’s price. Suddenly, someone produces a stick-no ordinary stick, but a magical one. With a mischievous grin, they poke the Bitcoin. The price leaps upward. Cheers erupt. The legend of the Bitcoin stick is born.

But why does poking Bitcoin with a stick make the price go up? Why does it only work for a lucky few? And what does the data say about this mysterious phenomenon? Let’s dig in, laugh a little, and maybe learn the secret to market-moving magic.

The Statistical Side of Stick-Poking

Bitcoin’s Price: The Wild Ride

Bitcoin’s price is famous for its unpredictability. In the past year, it’s soared, dipped, and soared again, sometimes gaining more than 50% in just a few months. On a good day, billions of dollars flow through Bitcoin trades, and the price can jump thousands in a matter of hours. Clearly, something is making this happen-and it’s not just spreadsheets and financial news.

What Actually Moves the Price?

• Scarcity: Only 21 million Bitcoins will ever exist. When more people want in, the price jumps.

• Big News: Announcements, rumors, and meme-worthy moments can send the price flying.

• FOMO: When people see Bitcoin rising, they rush to buy, pushing it even higher.

• Liquidations: When traders betting against Bitcoin get squeezed, it triggers a chain reaction of buying.

But let’s be honest: none of this is as fun as poking Bitcoin with a stick.

---

The Magical Stick: Not Your Average Twig

Why Not Every Stick Works

You can’t just grab any old branch and expect Bitcoin to dance. The magical stick is a rare artifact, forged in the fires of internet memes and blessed by the spirit of Satoshi. Only a chosen few possess it-and when they poke, the market listens.

Signs You Have the Magical Stick

• When you poke, Bitcoin’s price immediately jumps a few percent.

• Your stick glows with meme energy and possibly sparkles with digital dust.

• You have a knack for timing your poke right after a big event, like a halving or a celebrity tweet.

• Your stick is rumored to have been whittled from the original blockchain itself.

Why Most Sticks Fail

• No Meme Power: If your stick isn’t funny, Bitcoin ignores you.

• Bad Timing: Poking during a bear market just annoys the blockchain.

• Not Enough Hype: If the bitcoin community isn’t watching, your poke is just a poke.

• Lack of Magic: Some sticks are just sticks. Sad, but true.

---

The Data: When the Stick Strikes

Let’s look at some numbers:

• In the last month, Bitcoin’s price jumped over 20% right after a flurry of memes and stick-poking jokes.

• Over the past year, every major price surge was accompanied by a wave of internet hype, stick memes, or wild speculation.

• In the past five years, Bitcoin’s biggest leaps always seemed to follow some kind of magical event-whether a halving, a viral tweet, or a mysterious poke.

Coincidence? Maybe. But the pattern is clear: the stick works-at least when it’s magical.

---

The Role of Memes, Magic, and Mayhem

Bitcoin’s price is like a cat: unpredictable, easily startled, and sometimes it just wants to be left alone. But when the right meme pops up, or the right stick pokes at just the right time, the price can leap in ways that defy logic.

The bitcoin community knows this. That’s why, when Bitcoin’s stuck in a rut, you’ll see a flood of stick memes, GIFs, and magical thinking. Sometimes, it actually works.

---

The Secret’s in the Stick (and the Laughs)

So, does poking Bitcoin with a stick really make the price go up? If your stick is magical-blessed by memes, timed perfectly, and watched by millions-absolutely. The statistics show that hype, humor, and a little bit of luck can move markets as much as any financial report.

Next time you see Bitcoin stalling, don’t just sit there. Grab your stick, channel your inner meme wizard, and give it a poke. Who knows? You might just be the next legend in the world of bitcoin magic.

And if your stick doesn’t work, don’t worry. Sometimes, the real magic is in the laughter along the way.

-aco

@block height: 897,104

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@ a39d19ec:3d88f61e

Die Debatte um Migration, Grenzsicherung und Abschiebungen wird in Deutschland meist emotional geführt. Wer fordert, dass illegale Einwanderer abgeschoben werden, sieht sich nicht selten dem Vorwurf des Rassismus ausgesetzt. Doch dieser Vorwurf ist nicht nur sachlich unbegründet, sondern verkehrt die Realität ins Gegenteil: Tatsächlich sind es gerade diejenigen, die hinter jeder Forderung nach Rechtssicherheit eine rassistische Motivation vermuten, die selbst in erster Linie nach Hautfarbe, Herkunft oder Nationalität urteilen.

Das Recht steht über Emotionen

Deutschland ist ein Rechtsstaat. Das bedeutet, dass Regeln nicht nach Bauchgefühl oder politischer Stimmungslage ausgelegt werden können, sondern auf klaren gesetzlichen Grundlagen beruhen müssen. Einer dieser Grundsätze ist in Artikel 16a des Grundgesetzes verankert. Dort heißt es:

„Auf Absatz 1 [Asylrecht] kann sich nicht berufen, wer aus einem Mitgliedstaat der Europäischen Gemeinschaften oder aus einem anderen Drittstaat einreist, in dem die Anwendung des Abkommens über die Rechtsstellung der Flüchtlinge und der Europäischen Menschenrechtskonvention sichergestellt ist.“

Das bedeutet, dass jeder, der über sichere Drittstaaten nach Deutschland einreist, keinen Anspruch auf Asyl hat. Wer dennoch bleibt, hält sich illegal im Land auf und unterliegt den geltenden Regelungen zur Rückführung. Die Forderung nach Abschiebungen ist daher nichts anderes als die Forderung nach der Einhaltung von Recht und Gesetz.

Die Umkehrung des Rassismusbegriffs

Wer einerseits behauptet, dass das deutsche Asyl- und Aufenthaltsrecht strikt durchgesetzt werden soll, und andererseits nicht nach Herkunft oder Hautfarbe unterscheidet, handelt wertneutral. Diejenigen jedoch, die in einer solchen Forderung nach Rechtsstaatlichkeit einen rassistischen Unterton sehen, projizieren ihre eigenen Denkmuster auf andere: Sie unterstellen, dass die Debatte ausschließlich entlang ethnischer, rassistischer oder nationaler Kriterien geführt wird – und genau das ist eine rassistische Denkweise.

Jemand, der illegale Einwanderung kritisiert, tut dies nicht, weil ihn die Herkunft der Menschen interessiert, sondern weil er den Rechtsstaat respektiert. Hingegen erkennt jemand, der hinter dieser Kritik Rassismus wittert, offenbar in erster Linie die „Rasse“ oder Herkunft der betreffenden Personen und reduziert sie darauf.

Finanzielle Belastung statt ideologischer Debatte

Neben der rechtlichen gibt es auch eine ökonomische Komponente. Der deutsche Wohlfahrtsstaat basiert auf einem Solidarprinzip: Die Bürger zahlen in das System ein, um sich gegenseitig in schwierigen Zeiten zu unterstützen. Dieser Wohlstand wurde über Generationen hinweg von denjenigen erarbeitet, die hier seit langem leben. Die Priorität liegt daher darauf, die vorhandenen Mittel zuerst unter denjenigen zu verteilen, die durch Steuern, Sozialabgaben und Arbeit zum Erhalt dieses Systems beitragen – nicht unter denen, die sich durch illegale Einreise und fehlende wirtschaftliche Eigenleistung in das System begeben.

Das ist keine ideologische Frage, sondern eine rein wirtschaftliche Abwägung. Ein Sozialsystem kann nur dann nachhaltig funktionieren, wenn es nicht unbegrenzt belastet wird. Würde Deutschland keine klaren Regeln zur Einwanderung und Abschiebung haben, würde dies unweigerlich zur Überlastung des Sozialstaates führen – mit negativen Konsequenzen für alle.

Sozialpatriotismus

Ein weiterer wichtiger Aspekt ist der Schutz der Arbeitsleistung jener Generationen, die Deutschland nach dem Zweiten Weltkrieg mühsam wieder aufgebaut haben. Während oft betont wird, dass die Deutschen moralisch kein Erbe aus der Zeit vor 1945 beanspruchen dürfen – außer der Verantwortung für den Holocaust –, ist es umso bedeutsamer, das neue Erbe nach 1945 zu respektieren, das auf Fleiß, Disziplin und harter Arbeit beruht. Der Wiederaufbau war eine kollektive Leistung deutscher Menschen, deren Früchte nicht bedenkenlos verteilt werden dürfen, sondern vorrangig denjenigen zugutekommen sollten, die dieses Fundament mitgeschaffen oder es über Generationen mitgetragen haben.

Rechtstaatlichkeit ist nicht verhandelbar

Wer sich für eine konsequente Abschiebepraxis ausspricht, tut dies nicht aus rassistischen Motiven, sondern aus Respekt vor der Rechtsstaatlichkeit und den wirtschaftlichen Grundlagen des Landes. Der Vorwurf des Rassismus in diesem Kontext ist daher nicht nur falsch, sondern entlarvt eine selektive Wahrnehmung nach rassistischen Merkmalen bei denjenigen, die ihn erheben.

@ c1e9ab3a:9cb56b43

I. Historical Foundations of U.S. Monetary Architecture

The early monetary system of the United States was built atop inherited commodity money conventions from Europe’s maritime economies. Silver and gold coins—primarily Spanish pieces of eight, Dutch guilders, and other foreign specie—formed the basis of colonial commerce. These units were already integrated into international trade and piracy networks and functioned with natural compatibility across England, France, Spain, and Denmark. Lacking a centralized mint or formal currency, the U.S. adopted these forms de facto.

As security risks and the practical constraints of physical coinage mounted, banks emerged to warehouse specie and issue redeemable certificates. These certificates evolved into fiduciary media—claims on specie not actually in hand. Banks observed over time that substantial portions of reserves remained unclaimed for years. This enabled fractional reserve banking: issuing more claims than reserves held, so long as redemption demand stayed low. The practice was inherently unstable, prone to panics and bank runs, prompting eventual centralization through the formation of the Federal Reserve in 1913.

Following the Civil War and unstable reinstatements of gold convertibility, the U.S. sought global monetary stability. After World War II, the Bretton Woods system formalized the U.S. dollar as the global reserve currency. The dollar was nominally backed by gold, but most international dollars were held offshore and recycled into U.S. Treasuries. The Nixon Shock of 1971 eliminated the gold peg, converting the dollar into pure fiat. Yet offshore dollar demand remained, sustained by oil trade mandates and the unique role of Treasuries as global reserve assets.

II. The Structure of Fiduciary Media and Treasury Demand

Under this system, foreign trade surpluses with the U.S. generate excess dollars. These surplus dollars are parked in U.S. Treasuries, thereby recycling trade imbalances into U.S. fiscal liquidity. While technically loans to the U.S. government, these purchases act like interest-only transfers—governments receive yield, and the U.S. receives spendable liquidity without principal repayment due in the short term. Debt is perpetually rolled over, rarely extinguished.

This creates an illusion of global subsidy: U.S. deficits are financed via foreign capital inflows that, in practice, function more like financial tribute systems than conventional debt markets. The underlying asset—U.S. Treasury debt—functions as the base reserve asset of the dollar system, replacing gold in post-Bretton Woods monetary logic.

III. Emergence of Tether and the Parastatal Dollar

Tether (USDT), as a private issuer of dollar-denominated tokens, mimics key central bank behaviors while operating outside the regulatory perimeter. It mints tokens allegedly backed 1:1 by U.S. dollars or dollar-denominated securities (mostly Treasuries). These tokens circulate globally, often in jurisdictions with limited banking access, and increasingly serve as synthetic dollar substitutes.

If USDT gains dominance as the preferred medium of exchange—due to technological advantages, speed, programmability, or access—it displaces Federal Reserve Notes (FRNs) not through devaluation, but through functional obsolescence. Gresham’s Law inverts: good money (more liquid, programmable, globally transferable USDT) displaces bad (FRNs) even if both maintain a nominal 1:1 parity.

Over time, this preference translates to a systemic demand shift. Actors increasingly use Tether instead of FRNs, especially in global commerce, digital marketplaces, or decentralized finance. Tether tokens effectively become shadow base money.

IV. Interaction with Commercial Banking and Redemption Mechanics

Under traditional fractional reserve systems, commercial banks issue loans denominated in U.S. dollars, expanding the money supply. When borrowers repay loans, this destroys the created dollars and contracts monetary elasticity. If borrowers repay in USDT instead of FRNs:

• Banks receive a non-Fed liability (USDT).
• USDT is not recognized as reserve-eligible within the Federal Reserve System.
• Banks must either redeem USDT for FRNs, or demand par-value conversion from Tether to settle reserve requirements and balance their books.

This places redemption pressure on Tether and threatens its 1:1 peg under stress. If redemption latency, friction, or cost arises, USDT’s equivalence to FRNs is compromised. Conversely, if banks are permitted or compelled to hold USDT as reserve or regulatory capital, Tether becomes a de facto reserve issuer.

In this scenario, banks may begin demanding loans in USDT, mirroring borrower behavior. For this to occur sustainably, banks must secure Tether liquidity. This creates two options: - Purchase USDT from Tether or on the secondary market, collateralized by existing fiat. - Borrow USDT directly from Tether, using bank-issued debt as collateral.

The latter mirrors Federal Reserve discount window operations. Tether becomes a lender of first resort, providing monetary elasticity to the banking system by creating new tokens against promissory assets—exactly how central banks function.

V. Structural Consequences: Parallel Central Banking

If Tether begins lending to commercial banks, issuing tokens backed by bank notes or collateralized debt obligations: - Tether controls the expansion of broad money through credit issuance. - Its balance sheet mimics a central bank, with Treasuries and bank debt as assets and tokens as liabilities. - It intermediates between sovereign debt and global liquidity demand, replacing the Federal Reserve’s open market operations with its own issuance-redemption cycles.

Simultaneously, if Tether purchases U.S. Treasuries with FRNs received through token issuance, it: - Supplies the Treasury with new liquidity (via bond purchases). - Collects yield on government debt. - Issues a parallel form of U.S. dollars that never require redemption—an interest-only loan to the U.S. government from a non-sovereign entity.

In this context, Tether performs monetary functions of both a central bank and a sovereign wealth fund, without political accountability or regulatory transparency.

VI. Endgame: Institutional Inversion and Fed Redundancy

This paradigm represents an institutional inversion:

• The Federal Reserve becomes a legacy issuer.
• Tether becomes the operational base money provider in both retail and interbank contexts.
• Treasuries remain the foundational reserve asset, but access to them is mediated by a private intermediary.
• The dollar persists, but its issuer changes. The State becomes a fiscal agent of a decentralized financial ecosystem, not its monetary sovereign.

Unless the Federal Reserve reasserts control—either by absorbing Tether, outlawing its instruments, or integrating its tokens into the reserve framework—it risks becoming irrelevant in the daily function of money.

Tether, in this configuration, is no longer a derivative of the dollar—it is the dollar, just one level removed from sovereign control. The future of monetary sovereignty under such a regime is post-national and platform-mediated.

@ c1e6505c:02b3157e

This is day two of testing the Leica Summaron 35mm f2.8 on the Fujifilm X-Pro2.

The first part of this story you can find here on StackerNews**

TL;DR: I think I’m really enjoying this lens.

I went into it thinking I’d probably just sell it since it was gifted to me - assumed I wouldn’t like it. But after just a couple of days with it mounted on the X-Pro2, I’ve been surprisingly drawn to it.

Shooting wide open at f2.8 (which is how I’m testing it - to best reveal the lens’s character), the soft roll-off is really pleasing. It feels organic. The lens is over 50 years old, so I expected some quirks-but the quality feels natural, not overly “vintage". Takes the digital edge off.

The short focus throw is also really nice. Compared to the Summicron 35mm f2 v3 I usually shoot on my M262 (which has a longer throw), the Summaron feels tighter and more responsive when zone focusing.

One gripe: the infinity lock. It’s kind of annoying. I find myself accidentally locking it too often, but I’m getting used to holding the button down as I rotate the ring. I’ve read others complain about it, so I know I’m not alone there.

Most of these shots were from a bike ride to the river - about 6 miles out to swim and enjoy the sun. Perfect day for making a few photos.

This kind of work is honestly just fun. I enjoy the process, and even more so once I’m happy with the results and can share them.

Still building confidence in my work over time. I think I’m slowly refining my style - even if the subject matter is simple. Easier said than done, as any editor/curator knows (and I say this as one through NOICE Magazine).

Let me know what you think. I’ll try to upload higher resolution versions this time around (but not too high).

*Also, I use a program called Dehancer for creating the grain in these photographs. I highly recommend the program actually, I've been using it for a long time. If you would like to try it out, I have a promo code. Use "Pictureroom" for 10% off I believe.

You can further support me and my work by sending sats to colincz\@getalby.com. Thank you.

(note* this is being publised from the updated Primal reads client)

@ c230edd3:8ad4a712

Chef's notes

Wildly enough, this is delicious. It's sweet and savory.

(I copied this recipe off of a commercial cheese maker's site, just FYI)

I hadn't fully froze the ice cream when I took the picture shown. This is fresh out of the churner.

Details

• ⏲️ Prep time: 15 min
• 🍳 Cook time: 30 min
• 🍽️ Servings: 4

Ingredients

• 12 oz blue cheese
• 3 Tbsp lemon juice
• 1 c sugar
• 1 tsp salt
• 1 qt heavy cream
• 3/4 c chopped dark chocolate

Directions

1. Put the blue cheese, lemon juice, sugar, and salt into a bowl
2. Bring heavy cream to a boil, stirring occasionally
3. Pour heavy cream over the blue cheese mix and stir until melted
4. Pour into prepared ice cream maker, follow unit instructions
5. Add dark chocolate halfway through the churning cycle
6. Freeze until firm. Enjoy.

@ a39d19ec:3d88f61e

Nun da das deutsche Bundesregime den Ruin Deutschlands beschlossen hat, der sehr wahrscheinlich mit dem Werkzeug des Geld druckens "finanziert" wird, kamen mir so viele Gedanken zur Geldmengenausweitung, dass ich diese für einmal niedergeschrieben habe.

Die Ausweitung der Geldmenge führt aus klassischer wirtschaftlicher Sicht immer zu Preissteigerungen, weil mehr Geld im Umlauf auf eine begrenzte Menge an Gütern trifft. Dies lässt sich in mehreren Schritten analysieren:

1. Quantitätstheorie des Geldes

Die klassische Gleichung der Quantitätstheorie des Geldes lautet:

M • V = P • Y

wobei:
- M die Geldmenge ist,
- V die Umlaufgeschwindigkeit des Geldes,
- P das Preisniveau,
- Y die reale Wirtschaftsleistung (BIP).

Wenn M steigt und V sowie Y konstant bleiben, muss P steigen – also Inflation entstehen.

2. Gütermenge bleibt begrenzt

Die Menge an real produzierten Gütern und Dienstleistungen wächst meist nur langsam im Vergleich zur Ausweitung der Geldmenge. Wenn die Geldmenge schneller steigt als die Produktionsgütermenge, führt dies dazu, dass mehr Geld für die gleiche Menge an Waren zur Verfügung steht – die Preise steigen.

3. Erwartungseffekte und Spekulation

Wenn Unternehmen und Haushalte erwarten, dass mehr Geld im Umlauf ist, da eine zentrale Planung es so wollte, können sie steigende Preise antizipieren. Unternehmen erhöhen ihre Preise vorab, und Arbeitnehmer fordern höhere Löhne. Dies kann eine sich selbst verstärkende Spirale auslösen.

4. Internationale Perspektive

Eine erhöhte Geldmenge kann die Währung abwerten, wenn andere Länder ihre Geldpolitik stabil halten. Eine schwächere Währung macht Importe teurer, was wiederum Preissteigerungen antreibt.

5. Kritik an der reinen Geldmengen-Theorie

Der Vollständigkeit halber muss erwähnt werden, dass die meisten modernen Ökonomen im Staatsauftrag argumentieren, dass Inflation nicht nur von der Geldmenge abhängt, sondern auch von der Nachfrage nach Geld (z. B. in einer Wirtschaftskrise). Dennoch zeigt die historische Erfahrung, dass eine unkontrollierte Geldmengenausweitung langfristig immer zu Preissteigerungen führt, wie etwa in der Hyperinflation der Weimarer Republik oder in Simbabwe.

@ 04c915da:3dfbecc9

There is something quietly rebellious about stacking sats. In a world obsessed with instant gratification, choosing to patiently accumulate Bitcoin, one sat at a time, feels like a middle finger to the hype machine. But to do it right, you have got to stay humble. Stack too hard with your head in the clouds, and you will trip over your own ego before the next halving even hits.

Small Wins

Stacking sats is not glamorous. Discipline. Stacking every day, week, or month, no matter the price, and letting time do the heavy lifting. Humility lives in that consistency. You are not trying to outsmart the market or prove you are the next "crypto" prophet. Just a regular person, betting on a system you believe in, one humble stack at a time. Folks get rekt chasing the highs. They ape into some shitcoin pump, shout about it online, then go silent when they inevitably get rekt. The ones who last? They stack. Just keep showing up. Consistency. Humility in action. Know the game is long, and you are not bigger than it.

Ego is Volatile

Bitcoin’s swings can mess with your head. One day you are up 20%, feeling like a genius and the next down 30%, questioning everything. Ego will have you panic selling at the bottom or over leveraging the top. Staying humble means patience, a true bitcoin zen. Do not try to "beat” Bitcoin. Ride it. Stack what you can afford, live your life, and let compounding work its magic.

Simplicity

There is a beauty in how stacking sats forces you to rethink value. A sat is worth less than a penny today, but every time you grab a few thousand, you plant a seed. It is not about flaunting wealth but rather building it, quietly, without fanfare. That mindset spills over. Cut out the noise: the overpriced coffee, fancy watches, the status games that drain your wallet. Humility is good for your soul and your stack. I have a buddy who has been stacking since 2015. Never talks about it unless you ask. Lives in a decent place, drives an old truck, and just keeps stacking. He is not chasing clout, he is chasing freedom. That is the vibe: less ego, more sats, all grounded in life.

The Big Picture

Stack those sats. Do it quietly, do it consistently, and do not let the green days puff you up or the red days break you down. Humility is the secret sauce, it keeps you grounded while the world spins wild. In a decade, when you look back and smile, it will not be because you shouted the loudest. It will be because you stayed the course, one sat at a time. \ \ Stay Humble and Stack Sats. 🫡

@ 909e3fdc:73f2b10a

Pizza Day’s not really about pizza. It’s about Laszlo exhibiting Bitcoin as a P2P payment mechanism. That’s worth a cheers. In 15 years, Bitcoin went from a nerdy experiment to challenging the fiat system. That’s massive! It’s changed how I see the world. Patient hodling and carnivore-focus, practices that I picked up from the bitcoin community, shifted me from kinda nihilistic to stupidly optimistic. So, definitely celebrate Pizza Day. Or maybe barbecue steaks instead. Commiserate on the frivolous purchases that you made with bitcoin in the day. I think of these sometimes. Honour Laszlo’s pioneer vibe and Bitcoin’s insane rise, but keep your eyes on what’s coming. The future’s gonna be wilder than we think.

@ 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.

@ 04c915da:3dfbecc9

This piece is the first in a series that will focus on things I think are a priority if your focus is similar to mine: building a strong family and safeguarding their future.

---

Choosing the ideal place to raise a family is one of the most significant decisions you will ever make. For simplicity sake I will break down my thought process into key factors: strong property rights, the ability to grow your own food, access to fresh water, the freedom to own and train with guns, and a dependable community.

A Jurisdiction with Strong Property Rights

Strong property rights are essential and allow you to build on a solid foundation that is less likely to break underneath you. Regions with a history of limited government and clear legal protections for landowners are ideal. Personally I think the US is the single best option globally, but within the US there is a wide difference between which state you choose. Choose carefully and thoughtfully, think long term. Obviously if you are not American this is not a realistic option for you, there are other solid options available especially if your family has mobility. I understand many do not have this capability to easily move, consider that your first priority, making movement and jurisdiction choice possible in the first place.

Abundant Access to Fresh Water

Water is life. I cannot overstate the importance of living somewhere with reliable, clean, and abundant freshwater. Some regions face water scarcity or heavy regulations on usage, so prioritizing a place where water is plentiful and your rights to it are protected is critical. Ideally you should have well access so you are not tied to municipal water supplies. In times of crisis or chaos well water cannot be easily shutoff or disrupted. If you live in an area that is drought prone, you are one drought away from societal chaos. Not enough people appreciate this simple fact.

Grow Your Own Food

A location with fertile soil, a favorable climate, and enough space for a small homestead or at the very least a garden is key. In stable times, a small homestead provides good food and important education for your family. In times of chaos your family being able to grow and raise healthy food provides a level of self sufficiency that many others will lack. Look for areas with minimal restrictions, good weather, and a culture that supports local farming.

Guns

The ability to defend your family is fundamental. A location where you can legally and easily own guns is a must. Look for places with a strong gun culture and a political history of protecting those rights. Owning one or two guns is not enough and without proper training they will be a liability rather than a benefit. Get comfortable and proficient. Never stop improving your skills. If the time comes that you must use a gun to defend your family, the skills must be instinct. Practice. Practice. Practice.

A Strong Community You Can Depend On

No one thrives alone. A ride or die community that rallies together in tough times is invaluable. Seek out a place where people know their neighbors, share similar values, and are quick to lend a hand. Lead by example and become a good neighbor, people will naturally respond in kind. Small towns are ideal, if possible, but living outside of a major city can be a solid balance in terms of work opportunities and family security.

---

Let me know if you found this helpful. My plan is to break down how I think about these five key subjects in future posts.

@ 37fe9853:bcd1b039

yoyoaa

@ 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。

@ 90152b7f:04e57401

Wikileaks - S E C R E T SECTION 01 OF 02 TEL AVIV 001733 SIPDIS SIPDIS E.O. 12958: DECL: 06/13/2017 TAGS: PREL, PTER, MOPS, KWBG, LE, SY, IS SUBJECT: MILITARY INTELLIGENCE DIRECTOR YADLIN COMMENTS ON GAZA, SYRIA AND LEBANON Classified By: Ambassador Richard H. Jones, Reason 1.4 (b) (d)

2007 June 13

1. (S) Summary. During a June 12 meeting with the Ambassador, IDI Director MG Amos Yadlin said that Gaza was "number four" on his list of threats, preceded by Iran, Syria, and Hizballah in that order. Yadlin said the IDI has been predicting armed confrontation in Gaza between Hamas and Fatah since Hamas won the January 2006 legislative council elections. Yadlin felt that the Hamas military wing had initiated the current escalation with the tacit consent of external Hamas leader Khalid Mishal, adding that he did not believe there had been a premeditated political-level decision by Hamas to wipe out Fatah in Gaza. Yadlin dismissed Fatah's capabilities in Gaza, saying Hamas could have taken over there any time it wanted for the past year, but he agreed that Fatah remained strong in the West Bank. Although not necessarily reflecting a GOI consensus view, Yadlin said Israel would be "happy" if Hamas took over Gaza because the IDF could then deal with Gaza as a hostile state. He dismissed the significance of an Iranian role in a Hamas-controlled Gaza "as long as they don't have a port." Regarding predictions of war with Syria this summer, Yadlin recalled the lead-up to the 1967 war, which he said was provoked by the Soviet Ambassador in Israel. Both Israel and Syria are in a state of high alert, so war could happen easily even though neither side is seeking it. Yadlin suggested that the Asad regime would probably not survive a war, but added that Israel was no longer concerned with maintaining that "evil" regime. On Lebanon, Yadlin felt that the fighting in the Nahr Al-Barid camp was a positive development for Israel since it had "embarrassed" Hizballah, adding that IDI had information that the Fatah Al-Islam terrorist group was planning to attack UNIFIL before it blundered into its confrontation with the LAF. End Summary.

Gaza Fighting Not Israel's Main Problem

---------------------------------------

2. (S) The Ambassador, accompanied by Pol Couns and DATT, called on IDI Director Major General Amos Yadlin June 12. Noting reports of fierce fighting between Hamas and Fatah in Gaza that day, the Ambassador asked for Yadlin's assessment. Yadlin described Gaza as "not Israel's main problem," noting that it ranked fourth in his hierarchy of threats, behind Iran, Syria, and Hizballah. Yadlin described Gaza as "hopeless for now," commenting that the Palestinians had to realize that Hamas offered no solution. IDI analysts, he said, had predicted a confrontation in Gaza since Hamas won the Palestinian Legislative Council elections in January 2006. Yadlin commented that Palestinian President Mahmoud Abbas and Hamas Prime Minister Ismail Haniyeh had become personally close despite their ideological differences, but neither leader had control over those forces under them.

3. (S) Yadlin explained that both Fatah and Hamas contained many factions. The Hamas military wing had been frustrated since the signing of the Mecca Agreement in January, but there were also many armed groups in Gaza that were not under the control of either party. Yadlin cited the example of the Dughmush clan, which had shifted from Fatah to the Popular Resistance Committees to Hamas before becoming an armed entity opposed to all of them. After May 15, the Hamas military wing had sought to export the fighting to Sderot by launching waves of Qassam rockets. One week later, as a result of IDF retaliation, they realized the price was too high and reduced the Qassam attacks.

4. (S) In response to the Ambassador's question, Yadlin said he did not think that day's Hamas attacks on Fatah security forces were part of a premeditated effort to wipe out Fatah in Gaza. Instead, they probably represented an initiative of the military wing with the tacit consent of Khalid Mishal in Damascus. Mishal was still considering the costs and benefits of the fighting, but the situation had become so tense that any incident could lead to street fighting without any political decision.

Gaza and West Bank Separating

-----------------------------

5. (S) The Ambassador asked Yadlin for his assessment of reports that Fatah forces had been ordered not to fight back. Yadlin said Mohammed Dahlan had 500 men and the Presidential Guard had 1,500 more. They understand that the balance of power favors Hamas, which "can take over Gaza any time it wants to." Yadlin said he would be surprised if Fatah fights, and even more surprised if they win. As far as he was concerned, this had been the case for the past year. The situation was different in the West Bank, however, where Fatah remained relatively strong and had even started to

TEL AVIV 00001733 002 OF 002

kidnap Hamas activists. Yadlin agreed that Tawfiq Tirawi had a power base in the West Bank, but he added that Fatah was not cohesive.

6. (S) The Ambassador commented that if Fatah decided it has lost Gaza, there would be calls for Abbas to set up a separate regime in the West Bank. While not necessarily reflecting a consensus GOI view, Yadlin commented that such a development would please Israel since it would enable the IDF to treat Gaza as a hostile country rather than having to deal with Hamas as a non-state actor. He added that Israel could work with a Fatah regime in the West Bank. The Ambassador asked Yadlin if he worried about a Hamas-controlled Gaza giving Iran a new opening. Yadlin replied that Iran was already present in Gaza, but Israel could handle the situation "as long as Gaza does not have a port (sea or air)."

War with Syria "Could Happen Easily"

------------------------------------

7. (S) Noting Israeli press speculation, the Ambassador asked Yadlin if he expected war with Syria this summer. Recalling the 1967 war, Yadlin commented that it had started as a result of the Soviet Ambassador in Israel reporting on non-existing Israeli preparations to attack Syria. Something similar was happening again, he said, with the Russians telling the Syrians that Israel planned to attack them, possibly in concert with a U.S. attack on Iran. Yadlin stated that since last summer's war in Lebanon, Syria had engaged in a "frenzy of preparations" for a confrontation with Israel. The Syrian regime was also showing greater self-confidence. Some Syrian leaders appeared to believe that Syria could take on Israel military, but others were more cautious. The fact that both sides were on high alert meant that a war could happen easily, even though neither side is seeking one. In response to a question, Yadlin said he did not think the Asad regime would survive a war, but he added that preserving that "evil" regime should not be a matter of concern.

Fighting in Nahr al-Barid Positive for Israel

---------------------------------------------

8. (S) The Ambassador asked Yadlin for his views on the fighting in the Nahr al-Barid refugee camp in northern Lebanon. Although Yadlin was called to another meeting and did not have time to elaborate, he answered that the fighting was positive for Israel because it had embarrassed Hizballah, which had been unable to adopt a clear-cut position on the Lebanese Army's action, and because the Fatah al-Islam terrorist organization had been planning to attack UNIFIL and then Israel before it blundered into its current confrontation with the LAF. He also agreed that the confrontation was strengthening the LAF, in fact and in the eyes of the Lebanese people, which was also good.

9. (S) Comment: Yadlin's relatively relaxed attitude toward the deteriorating security situation in Gaza represents a shift in IDF thinking from last fall, when the Southern Command supported a major ground operation into Gaza to remove the growing threat from Hamas. While many media commentators continue to make that argument, Yadlin's view appears to be more in synch with that of Chief of General Staff Ashkenazi, who also believes that the more serious threat to Israel currently comes from the north.

********************************************* ******************** Visit Embassy Tel Aviv's Classified Website: http://www.state.sgov.gov/p/nea/telaviv

You can also access this site through the State Department's Classified SIPRNET website. ********************************************* ******************** JONES

@ 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.

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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.

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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.)

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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.

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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.

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@ 04c915da:3dfbecc9

Here’s a revised timeline of macro-level events from The Mandibles: A Family, 2029–2047 by Lionel Shriver, reimagined in a world where Bitcoin is adopted as a widely accepted form of money, altering the original narrative’s assumptions about currency collapse and economic control. In Shriver’s original story, the failure of Bitcoin is assumed amid the dominance of the bancor and the dollar’s collapse. Here, Bitcoin’s success reshapes the economic and societal trajectory, decentralizing power and challenging state-driven outcomes.

Part One: 2029–2032

• 2029 (Early Year)\ The United States faces economic strain as the dollar weakens against global shifts. However, Bitcoin, having gained traction emerges as a viable alternative. Unlike the original timeline, the bancor—a supranational currency backed by a coalition of nations—struggles to gain footing as Bitcoin’s decentralized adoption grows among individuals and businesses worldwide, undermining both the dollar and the bancor.

• 2029 (Mid-Year: The Great Renunciation)\ Treasury bonds lose value, and the government bans Bitcoin, labeling it a threat to sovereignty (mirroring the original bancor ban). However, a Bitcoin ban proves unenforceable—its decentralized nature thwarts confiscation efforts, unlike gold in the original story. Hyperinflation hits the dollar as the U.S. prints money, but Bitcoin’s fixed supply shields adopters from currency devaluation, creating a dual-economy split: dollar users suffer, while Bitcoin users thrive.

• 2029 (Late Year)\ Dollar-based inflation soars, emptying stores of goods priced in fiat currency. Meanwhile, Bitcoin transactions flourish in underground and online markets, stabilizing trade for those plugged into the bitcoin ecosystem. Traditional supply chains falter, but peer-to-peer Bitcoin networks enable local and international exchange, reducing scarcity for early adopters. The government’s gold confiscation fails to bolster the dollar, as Bitcoin’s rise renders gold less relevant.

• 2030–2031\ Crime spikes in dollar-dependent urban areas, but Bitcoin-friendly regions see less chaos, as digital wallets and smart contracts facilitate secure trade. The U.S. government doubles down on surveillance to crack down on bitcoin use. A cultural divide deepens: centralized authority weakens in Bitcoin-adopting communities, while dollar zones descend into lawlessness.

• 2032\ By this point, Bitcoin is de facto legal tender in parts of the U.S. and globally, especially in tech-savvy or libertarian-leaning regions. The federal government’s grip slips as tax collection in dollars plummets—Bitcoin’s traceability is low, and citizens evade fiat-based levies. Rural and urban Bitcoin hubs emerge, while the dollar economy remains fractured.

Time Jump: 2032–2047

• Over 15 years, Bitcoin solidifies as a global reserve currency, eroding centralized control. The U.S. government adapts, grudgingly integrating bitcoin into policy, though regional autonomy grows as Bitcoin empowers local economies.

Part Two: 2047

• 2047 (Early Year)\ The U.S. is a hybrid state: Bitcoin is legal tender alongside a diminished dollar. Taxes are lower, collected in BTC, reducing federal overreach. Bitcoin’s adoption has decentralized power nationwide. The bancor has faded, unable to compete with Bitcoin’s grassroots momentum.

• 2047 (Mid-Year)\ Travel and trade flow freely in Bitcoin zones, with no restrictive checkpoints. The dollar economy lingers in poorer areas, marked by decay, but Bitcoin’s dominance lifts overall prosperity, as its deflationary nature incentivizes saving and investment over consumption. Global supply chains rebound, powered by bitcoin enabled efficiency.

• 2047 (Late Year)\ The U.S. is a patchwork of semi-autonomous zones, united by Bitcoin’s universal acceptance rather than federal control. Resource scarcity persists due to past disruptions, but economic stability is higher than in Shriver’s original dystopia—Bitcoin’s success prevents the authoritarian slide, fostering a freer, if imperfect, society.

Key Differences

• Currency Dynamics: Bitcoin’s triumph prevents the bancor’s dominance and mitigates hyperinflation’s worst effects, offering a lifeline outside state control.
• Government Power: Centralized authority weakens as Bitcoin evades bans and taxation, shifting power to individuals and communities.
• Societal Outcome: Instead of a surveillance state, 2047 sees a decentralized, bitcoin driven world—less oppressive, though still stratified between Bitcoin haves and have-nots.

This reimagining assumes Bitcoin overcomes Shriver’s implied skepticism to become a robust, adopted currency by 2029, fundamentally altering the novel’s bleak trajectory.

@ c1e9ab3a:9cb56b43

If you're an engineer stepping into the Bitcoin space from the broader crypto ecosystem, you're probably carrying a mental model shaped by speed, flexibility, and rapid innovation. That makes sense—most blockchain platforms pride themselves on throughput, programmability, and dev agility.

But Bitcoin operates from a different set of first principles. It’s not competing to be the fastest network or the most expressive smart contract platform. It’s aiming to be the most credible, neutral, and globally accessible value layer in human history.

Here’s why that matters—and why Bitcoin is not just an alternative crypto asset, but a structural necessity in the global financial system.

1. Bitcoin Fixes the Triffin Dilemma—Not With Policy, But Protocol

The Triffin Dilemma shows us that any country issuing the global reserve currency must run persistent deficits to supply that currency to the world. That’s not a flaw of bad leadership—it’s an inherent contradiction. The U.S. must debase its own monetary integrity to meet global dollar demand. That’s a self-terminating system.

Bitcoin sidesteps this entirely by being:

• Non-sovereign – no single nation owns it
• Hard-capped – no central authority can inflate it
• Verifiable and neutral – anyone with a full node can enforce the rules

In other words, Bitcoin turns global liquidity into an engineering problem, not a political one. No other system, fiat or crypto, has achieved that.

2. Bitcoin’s “Ossification” Is Intentional—and It's a Feature

From the outside, Bitcoin development may look sluggish. Features are slow to roll out. Code changes are conservative. Consensus rules are treated as sacred.

That’s the point.

When you’re building the global monetary base layer, stability is not a weakness. It’s a prerequisite. Every other financial instrument, app, or protocol that builds on Bitcoin depends on one thing: assurance that the base layer won’t change underneath them without extreme scrutiny.

So-called “ossification” is just another term for predictability and integrity. And when the market does demand change (SegWit, Taproot), Bitcoin’s soft-fork governance process has proven capable of deploying it safely—without coercive central control.

3. Layered Architecture: Throughput Is Not a Base Layer Concern

You don’t scale settlement at the base layer. You build layered systems. Just as TCP/IP doesn't need to carry YouTube traffic directly, Bitcoin doesn’t need to process every microtransaction.

Instead, it anchors:

• Lightning (fast payments)
• Fedimint (community custody)
• Ark (privacy + UTXO compression)
• Statechains, sidechains, and covenants (coming evolution)

All of these inherit Bitcoin’s security and scarcity, while handling volume off-chain, in ways that maintain auditability and self-custody.

4. Universal Assayability Requires Minimalism at the Base Layer

A core design constraint of Bitcoin is that any participant, anywhere in the world, must be able to independently verify the validity of every transaction and block—past and present—without needing permission or relying on third parties.

This property is called assayability—the ability to “test” or verify the authenticity and integrity of received bitcoin, much like verifying the weight and purity of a gold coin.

To preserve this:

• The base layer must remain resource-light, so running a full node stays accessible on commodity hardware.
• Block sizes must remain small enough to prevent centralization of verification.
• Historical data must remain consistent and tamper-evident, enabling proof chains across time and jurisdiction.

Any base layer that scales by increasing throughput or complexity undermines this fundamental guarantee, making the network more dependent on trust and surveillance infrastructure.

Bitcoin prioritizes global verifiability over throughput—because trustless money requires that every user can check the money they receive.

5. Governance: Not Captured, Just Resistant to Coercion

The current controversy around OP_RETURN and proposals to limit inscriptions is instructive. Some prominent devs have advocated for changes to block content filtering. Others see it as overreach.

Here's what matters:

• No single dev, or team, can force changes into the network. Period.
• Bitcoin Core is not “the source of truth.” It’s one implementation. If it deviates from market consensus, it gets forked, sidelined, or replaced.
• The economic majority—miners, users, businesses—enforce Bitcoin’s rules, not GitHub maintainers.

In fact, recent community resistance to perceived Core overreach only reinforces Bitcoin’s resilience. Engineers who posture with narcissistic certainty, dismiss dissent, or attempt to capture influence are routinely neutralized by the market’s refusal to upgrade or adopt forks that undermine neutrality or openness.

This is governance via credible neutrality and negative feedback loops. Power doesn’t accumulate in one place. It’s constantly checked by the network’s distributed incentives.

6. Bitcoin Is Still in Its Infancy—And That’s a Good Thing

You’re not too late. The ecosystem around Bitcoin—especially L2 protocols, privacy tools, custody innovation, and zero-knowledge integrations—is just beginning.

If you're an engineer looking for:

• Systems with global scale constraints
• Architectures that optimize for integrity, not speed
• Consensus mechanisms that resist coercion
• A base layer with predictable monetary policy

Then Bitcoin is where serious systems engineers go when they’ve outgrown crypto theater.

Take-away

Under realistic, market-aware assumptions—where:

• Bitcoin’s ossification is seen as a stability feature, not inertia,
• Market forces can and do demand and implement change via tested, non-coercive mechanisms,
• Proof-of-work is recognized as the only consensus mechanism resistant to fiat capture,
• Wealth concentration is understood as a temporary distribution effect during early monetization,
• Low base layer throughput is a deliberate design constraint to preserve verifiability and neutrality,
• And innovation is layered by design, with the base chain providing integrity, not complexity...

Then Bitcoin is not a fragile or inflexible system—it is a deliberately minimal, modular, and resilient protocol.

Its governance is not leaderless chaos; it's a negative-feedback structure that minimizes the power of individuals or institutions to coerce change. The very fact that proposals—like controversial OP_RETURN restrictions—can be resisted, forked around, or ignored by the market without breaking the system is proof of decentralized control, not dysfunction.

Bitcoin is an adversarially robust monetary foundation. Its value lies not in how fast it changes, but in how reliably it doesn't—unless change is forced by real, bottom-up demand and implemented through consensus-tested soft forks.

In this framing, Bitcoin isn't a slower crypto. It's the engineering benchmark for systems that must endure, not entertain.

Final Word

Bitcoin isn’t moving slowly because it’s dying. It’s moving carefully because it’s winning. It’s not an app platform or a sandbox. It’s a protocol layer for the future of money.

If you're here because you want to help build that future, you’re in the right place.

nostr:nevent1qqswr7sla434duatjp4m89grvs3zanxug05pzj04asxmv4rngvyv04sppemhxue69uhkummn9ekx7mp0qgs9tc6ruevfqu7nzt72kvq8te95dqfkndj5t8hlx6n79lj03q9v6xcrqsqqqqqp0n8wc2

nostr:nevent1qqsd5hfkqgskpjjq5zlfyyv9nmmela5q67tgu9640v7r8t828u73rdqpr4mhxue69uhkymmnw3ezucnfw33k76tww3ux76m09e3k7mf0qgsvr6dt8ft292mv5jlt7382vje0mfq2ccc3azrt4p45v5sknj6kkscrqsqqqqqp02vjk5

nostr:nevent1qqstrszamvffh72wr20euhrwa0fhzd3hhpedm30ys4ct8dpelwz3nuqpr4mhxue69uhkymmnw3ezucnfw33k76tww3ux76m09e3k7mf0qgs8a474cw4lqmapcq8hr7res4nknar2ey34fsffk0k42cjsdyn7yqqrqsqqqqqpnn3znl

@ c230edd3:8ad4a712

Chef's notes

I found this recipe a couple years ago and have been addicted to it since. Its incredibly easy, and cheap to prep. Freeze the sausage in flat, single serving portions. That way it can be cooked from frozen for a fast, flavorful, and healthy lunch or dinner. I took inspiration from the video that contained this recipe, and almost always pan fry the frozen sausage with some baby broccoli. The steam cooks the broccoli and the fats from the sausage help it to sear, while infusing the vibrant flavors. Serve with some rice, if desired. I often use serrano peppers, due to limited produce availability. They work well for a little heat and nice flavor that is not overpowering.

Details

• ⏲️ Prep time: 25 min
• 🍳 Cook time: 15 min (only needed if cooking at time of prep)
• 🍽️ Servings: 10

Ingredients

• 4 lbs ground pork
• 12-15 cloves garlic, minced
• 6 Thai or Serrano peppers, rough chopped
• 1/4 c. lime juice
• 4 Tbsp fish sauce
• 1 Tbsp brown sugar
• 1/2 c. chopped cilantro

Directions

1. Mix all ingredients in a large bowl.
2. Portion and freeze, as desired.
3. Sautè frozen portions in hot frying pan, with broccoli or other fresh veggies.
4. Serve with rice or alone.

@ c1e9ab3a:9cb56b43

Introduction: The Power of Fiction and the Shaping of Collective Morality

Stories define the moral landscape of a civilization. From the earliest mythologies to the modern spectacle of global cinema, the tales a society tells its youth shape the parameters of acceptable behavior, the cost of transgression, and the meaning of justice, power, and redemption. Among the most globally influential narratives of the past half-century is the Star Wars saga, a sprawling science fiction mythology that has transcended genre to become a cultural religion for many. Central to this mythos is the arc of Anakin Skywalker, the fallen Jedi Knight who becomes Darth Vader. In Star Wars: Episode III – Revenge of the Sith, Anakin commits what is arguably the most morally abhorrent act depicted in mainstream popular cinema: the mass murder of children. And yet, by the end of the saga, he is redeemed.

This chapter introduces the uninitiated to the events surrounding this narrative turn and explores the deep structural and ethical concerns it raises. We argue that the cultural treatment of Darth Vader as an anti-hero, even a role model, reveals a deep perversion in the collective moral grammar of the modern West. In doing so, we consider the implications this mythology may have on young adults navigating identity, masculinity, and agency in a world increasingly shaped by spectacle and symbolic narrative.

Part I: The Scene and Its Context

In Revenge of the Sith (2005), the third episode of the Star Wars prequel trilogy, the protagonist Anakin Skywalker succumbs to fear, ambition, and manipulation. Convinced that the Jedi Council is plotting against the Republic and desperate to save his pregnant wife from a vision of death, Anakin pledges allegiance to Chancellor Palpatine, secretly the Sith Lord Darth Sidious. Upon doing so, he is given a new name—Darth Vader—and tasked with a critical mission: to eliminate all Jedi in the temple, including its youngest members.

In one of the most harrowing scenes in the film, Anakin enters the Jedi Temple. A group of young children, known as "younglings," emerge from hiding and plead for help. One steps forward, calling him "Master Skywalker," and asks what they are to do. Anakin responds by igniting his lightsaber. The screen cuts away, but the implication is unambiguous. Later, it is confirmed through dialogue and visual allusion that he slaughtered them all.

There is no ambiguity in the storytelling. The man who will become the galaxy’s most feared enforcer begins his descent by murdering defenseless children.

Part II: A New Kind of Evil in Youth-Oriented Media

For decades, cinema avoided certain taboos. Even films depicting war, genocide, or psychological horror rarely crossed the line into showing children as victims of deliberate violence by the protagonist. When children were harmed, it was by monstrous antagonists, supernatural forces, or offscreen implications. The killing of children was culturally reserved for historical atrocities and horror tales.

In Revenge of the Sith, this boundary was broken. While the film does not show the violence explicitly, the implication is so clear and so central to the character arc that its omission from visual depiction does not blunt the narrative weight. What makes this scene especially jarring is the tonal dissonance between the gravity of the act and the broader cultural treatment of Star Wars as a family-friendly saga. The juxtaposition of child-targeted marketing with a central plot involving child murder is not accidental—it reflects a deeper narrative and commercial structure.

This scene was not a deviation from the arc. It was the intended turning point.

Part III: Masculinity, Militarism, and the Appeal of the Anti-Hero

Darth Vader has long been idolized as a masculine icon. His towering presence, emotionless control, and mechanical voice exude power and discipline. Military institutions have quoted him. He is celebrated in memes, posters, and merchandise. Within the cultural imagination, he embodies dominance, command, and strategic ruthlessness.

For many young men, particularly those struggling with identity, agency, and perceived weakness, Vader becomes more than a character. He becomes an archetype: the man who reclaims power by embracing discipline, forsaking emotion, and exacting vengeance against those who betrayed him. The emotional pain that leads to his fall mirrors the experiences of isolation and perceived emasculation that many young men internalize in a fractured society.

The symbolism becomes dangerous. Anakin's descent into mass murder is portrayed not as the outcome of unchecked cruelty, but as a tragic mistake rooted in love and desperation. The implication is that under enough pressure, even the most horrific act can be framed as a step toward a noble end.

Part IV: Redemption as Narrative Alchemy

By the end of the original trilogy (Return of the Jedi, 1983), Darth Vader kills the Emperor to save his son Luke and dies shortly thereafter. Luke mourns him, honors him, and burns his body in reverence. In the final scene, Vader's ghost appears alongside Obi-Wan Kenobi and Yoda—the very men who once considered him the greatest betrayal of their order. He is welcomed back.

There is no reckoning. No mention of the younglings. No memorial to the dead. No consequence beyond his own internal torment.

This model of redemption is not uncommon in Western storytelling. In Christian doctrine, the concept of grace allows for any sin to be forgiven if the sinner repents sincerely. But in the context of secular mass culture, such redemption without justice becomes deeply troubling. The cultural message is clear: even the worst crimes can be erased if one makes a grand enough gesture at the end. It is the erasure of moral debt by narrative fiat.

The implication is not only that evil can be undone by good, but that power and legacy matter more than the victims. Vader is not just forgiven—he is exalted.

Part V: Real-World Reflections and Dangerous Scripts

In recent decades, the rise of mass violence in schools and public places has revealed a disturbing pattern: young men who feel alienated, betrayed, or powerless adopt mythic narratives of vengeance and transformation. They often see themselves as tragic figures forced into violence by a cruel world. Some explicitly reference pop culture, quoting films, invoking fictional characters, or modeling their identities after cinematic anti-heroes.

It would be reductive to claim Star Wars causes such events. But it is equally naive to believe that such narratives play no role in shaping the symbolic frameworks through which vulnerable individuals understand their lives. The story of Anakin Skywalker offers a dangerous script:

• You are betrayed.
• You suffer.
• You kill.
• You become powerful.
• You are redeemed.

When combined with militarized masculinity, institutional failure, and cultural nihilism, this script can validate the darkest impulses. It becomes a myth of sacrificial violence, with the perpetrator as misunderstood hero.

Part VI: Cultural Responsibility and Narrative Ethics

The problem is not that Star Wars tells a tragic story. Tragedy is essential to moral understanding. The problem is how the culture treats that story. Darth Vader is not treated as a warning, a cautionary tale, or a fallen angel. He is merchandised, celebrated, and decontextualized.

By separating his image from his actions, society rebrands him as a figure of cool dominance rather than ethical failure. The younglings are forgotten. The victims vanish. Only the redemption remains. The merchandise continues to sell.

Cultural institutions bear responsibility for how such narratives are presented and consumed. Filmmakers may intend nuance, but marketing departments, military institutions, and fan cultures often reduce that nuance to symbol and slogan.

Conclusion: Reckoning with the Stories We Tell

The story of Anakin Skywalker is not morally neutral. It is a tale of systemic failure, emotional collapse, and unchecked violence. When presented in full, it can serve as a powerful warning. But when reduced to aesthetic dominance and easy redemption, it becomes a tool of moral decay.

The glorification of Darth Vader as a cultural icon—divorced from the horrific acts that define his transformation—is not just misguided. It is dangerous. It trains a generation to believe that power erases guilt, that violence is a path to recognition, and that final acts of loyalty can overwrite the deliberate murder of the innocent.

To the uninitiated, Star Wars may seem like harmless fantasy. But its deepest myth—the redemption of the child-killer through familial love and posthumous honor—deserves scrutiny. Not because fiction causes violence, but because fiction defines the possibilities of how we understand evil, forgiveness, and what it means to be a hero.

We must ask: What kind of redemption erases the cries of murdered children? And what kind of culture finds peace in that forgetting?

@ 6e0ea5d6:0327f353

"Malcolm Forbes recounts that a lady, wearing a faded cotton dress, and her husband, dressed in an old handmade suit, stepped off a train in Boston, USA, and timidly made their way to the office of the president of Harvard University. They had come from Palo Alto, California, and had not scheduled an appointment. The secretary, at a glance, thought that those two, looking like country bumpkins, had no business at Harvard.
— We want to speak with the president — the man said in a low voice.
— He will be busy all day — the secretary replied curtly.
— We will wait.
The secretary ignored them for hours, hoping the couple would finally give up and leave. But they stayed there, and the secretary, somewhat frustrated, decided to bother the president, although she hated doing that.
— If you speak with them for just a few minutes, maybe they will decide to go away — she said.
The president sighed in irritation but agreed. Someone of his importance did not have time to meet people like that, but he hated faded dresses and tattered suits in his office. With a stern face, he went to the couple.
— We had a son who studied at Harvard for a year — the woman said. — He loved Harvard and was very happy here, but a year ago he died in an accident, and we would like to erect a monument in his honor somewhere on campus.

— My lady — said the president rudely —, we cannot erect a statue for every person who studied at Harvard and died; if we did, this place would look like a cemetery.

— Oh, no — the lady quickly replied. — We do not want to erect a statue. We would like to donate a building to Harvard.

The president looked at the woman's faded dress and her husband's old suit and exclaimed:

— A building! Do you have even the faintest idea of how much a building costs? We have more than seven and a half million dollars' worth of buildings here at Harvard.

The lady was silent for a moment, then said to her husband:

— If that’s all it costs to found a university, why don’t we have our own?

The husband agreed.

The couple, Leland Stanford, stood up and left, leaving the president confused. Traveling back to Palo Alto, California, they established there Stanford University, the second-largest in the world, in honor of their son, a former Harvard student."

Text extracted from: "Mileumlivros - Stories that Teach Values."

Thank you for reading, my friend! If this message helped you in any way, consider leaving your glass “🥃” as a token of appreciation.

A toast to our family!

@ 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.

@ 502ab02a:a2860397

ถ้าพูดถึง "เกาหลีใต้" หลายคนอาจนึกถึงซีรีส์ น้ำจิ้มเผ็ด หรือไอดอลหน้าผ่อง ๆ แต่เบื้องหลังวัฒนธรรมที่ลื่นไหลไปทั่วโลกนี้ ยังมีอาณาจักรธุรกิจขนาดมหึมาที่เป็นเหมือนเครื่องยนต์หลักผลักดันทั้งอาหาร เพลง หนัง และนวัตกรรมระดับโลก หนึ่งในนั้นคือ CJ Group ที่เริ่มต้นจากบริษัทน้ำตาลเล็ก ๆ ในปี 1953 แต่เติบโตจนกลายเป็นหนึ่งใน conglomerate หรือ "กลุ่มธุรกิจผูกเครือ" ที่ทรงอิทธิพลที่สุดของแดนโสม

คำว่า CJ ย่อมาจาก CheilJedang (แปลว่า “หมายเลขหนึ่งแห่งโลก” ในภาษาจีน-เกาหลี) ก่อตั้งโดย อี บยองชอล ผู้ก่อตั้ง Samsung Group ในช่วงเวลานั้น เกาหลีใต้กำลังฟื้นตัวจากสงครามเกาหลี และรัฐบาลส่งเสริมการพัฒนาอุตสาหกรรมภายในประเทศ เดิมเป็นหน่วยธุรกิจอาหารของกลุ่ม Samsung ในปี 1993 Cheil Jedang แยกตัวออกจาก Samsung Group และกลายเป็นบริษัทอิสระภายใต้การบริหารของ อี แจฮยอน หลานชายของอี บยองชอล แล้วขยายขอบเขตธุรกิจอย่างไม่หยุดยั้ง จากความเชี่ยวชาญใน "การหมัก" แบบดั้งเดิม พวกเขากลับกลายเป็นผู้เล่นรายใหญ่ระดับโลกในวงการ เทคโนโลยีชีวภาพ การผลิตอาหารไปจนถึงธุรกิจ บันเทิงระดับฮอลลีวูด และ โลจิสติกส์ข้ามทวีป

พูดง่าย ๆ ว่า CJ ไม่ได้แค่ส่งออกกิมจิหรือบิบิมบับ แต่พวกเขากำลังวางรากฐานของ "อนาคตแห่งอาหาร" และ "ความบันเทิงแบบไร้พรมแดน" ในเวลาเดียวกัน จนใครหลายคนถึงกับบอกว่า ถ้าอยากเข้าใจเกาหลีใต้ ก็ต้องเริ่มจากเข้าใจ CJ Group เสียก่อน

แล้วในเครือข่ายของ CJ Group มีธุรกิจอะไรบ้างที่น่าสนใจ และแบรนด์ไหนที่เราคุ้นเคยแบบไม่รู้ตัว ไปดูกันเลย

1. ธุรกิจอาหารและบริการอาหาร (Food & Food Services)
2. CJ CheilJedang บริษัทอาหารชั้นนำของเกาหลีใต้ มีผลิตภัณฑ์เด่น ได้แก่ Bibigo แบรนด์อาหารเกาหลีพร้อมรับประทาน เช่น เกี๊ยว ซอส และกิมจิ Hetbahn ข้าวสวยพร้อมรับประทานที่ได้รับความนิยมในเกาหลี

3. CJ Foodville ดำเนินธุรกิจร้านอาหารและเบเกอรี่ เช่น: Tous Les Jours ร้านเบเกอรี่สไตล์ฝรั่งเศส VIPS ร้านสเต็กและสลัดบุฟเฟ่ต์

4. ธุรกิจเทคโนโลยีชีวภาพ (Bio) ความเชี่ยวชาญนี้เป็นรากฐานสำคัญในการขยายธุรกิจด้านเทคโนโลยีชีวภาพของ CJ เลยครับ

5. CJ BIO ผู้นำด้านการผลิตกรดอะมิโนและผลิตภัณฑ์ชีวภาพผ่านเทคโนโลยีการหมักจุลินทรีย์ เช่น Lysine, Tryptophan, Valine กรดอะมิโนที่ใช้ในอุตสาหกรรมอาหารสัตว์และอาหารเสริม

6. CJ Bioscience มุ่งเน้นการวิจัยและพัฒนาไมโครไบโอมเพื่อสุขภาพ

7. ธุรกิจโลจิสติกส์และค้าปลีก (Logistics & Retail)

8. CJ Logistics ให้บริการโลจิสติกส์ครบวงจร ทั้งการขนส่งทางบก ทางทะเล และทางอากาศ รวมถึงบริการคลังสินค้าและการจัดการซัพพลายเชน

9. CJ Olive Young: ร้านค้าปลีกด้านสุขภาพและความงามอันดับหนึ่งของเกาหลี มีผลิตภัณฑ์ยอดนิยม เช่น Anua PDRN Set ชุดบำรุงผิวที่ได้รับความนิยม MILKTOUCH ผลิตภัณฑ์เมคอัพที่ได้รับความนิยม

10. ธุรกิจบันเทิงและสื่อ (Entertainment & Media) อันนี้ยิ่งใหญ่ระดับโลกมากๆ หลายคนคงจำได้กับ ภาพยนตร์เอเชียแรกกับรางวัลออสการ์ Parasite

11. CJ ENM บริษัทผลิตและจัดจำหน่ายเนื้อหาบันเทิงที่มีชื่อเสียงระดับโลก มีผลงานเด่น ได้แก่ Crash Landing on You ซีรีส์ที่ได้รับความนิยมอย่างสูง Parasite ภาพยนตร์ที่ได้รับรางวัลออสการ์
12. CJ CGV เครือโรงภาพยนตร์มัลติเพล็กซ์ที่มีสาขาทั่วโลก

CJ Group ขยายธุรกิจไปยังต่างประเทศ เช่น การเข้าซื้อกิจการ Schwan's Company ในสหรัฐอเมริกา และการเปิดสาขา CGV ในหลายประเทศ นอกจากนี้ CJ ยังมีบทบาทสำคัญในการเผยแพร่วัฒนธรรมเกาหลีสู่ระดับโลกผ่าน KCON และการผลิตเนื้อหาบันเทิงที่ได้รับความนิยมในต่างประเทศด้วยครับ

จะเห็นได้ว่า เครือข่ายของ CJ นั้นยิ่งใหญ่มากๆเลย ทีนี้มีเรื่องน่าสนใจตรงนี้ครับ

ในช่วงปี 2013–2016 CJ Group โดยเฉพาะฝ่ายสื่อบันเทิงอย่าง CJ ENM ต้องเผชิญกับแรงกดดันจากรัฐบาลของประธานาธิบดี พัค กึนฮเย เหตุการณ์สำคัญคือการที่ อี มีคยอง (Miky Lee) รองประธาน CJ และผู้มีบทบาทสำคัญในการขับเคลื่อนธุรกิจบันเทิงระดับโลก ถูกกดดันให้ลาออกจากตำแหน่ง รายงานระบุว่า ทำเนียบประธานาธิบดีไม่พอใจเนื้อหาสื่อบางรายการของ CJ ที่มีลักษณะเสียดสีหรือวิพากษ์วิจารณ์รัฐบาล เช่น รายการ SNL Korea ที่ล้อเลียนพัค กึนฮเย ผ่านตัวละคร Teletubbies

ภายใต้แรงกดดันนี้ CJ มีการปรับเปลี่ยนเนื้อหาสื่อ โดยลดการนำเสนอเนื้อหาที่อาจขัดแย้งกับรัฐบาล และหันไปผลิตภาพยนตร์ที่สอดคล้องกับนโยบายของรัฐ เช่น ภาพยนตร์เรื่อง Ode to My Father (2014) ที่สะท้อนความรักชาติและการพัฒนาเศรษฐกิจในยุคของพัค ชุงฮี บิดาของพัค กึนฮเย ภาพยนตร์เรื่องนี้ได้รับการสนับสนุนจากรัฐบาลและถูกมองว่าเป็น "ภาพยนตร์เพื่อสุขภาพ" ที่ส่งเสริมความภาคภูมิใจในชาติ แน่นอนว่าแค้นฝังหุ่นมันยังไม่หายไปไหนครับ

เมื่อเกิดการเปิดโปง "บัญชีดำ" (Blacklist) ของรัฐบาลพัค กึนฮเย ที่มีการจำกัดสิทธิเสรีภาพของศิลปินและผู้ผลิตสื่อที่วิพากษ์วิจารณ์รัฐบาล ทำให้เกิดกระแสต่อต้านอย่างรุนแรงในสังคมเกาหลี. ในปี 2016 ซน กยองชิก ประธาน CJ ได้ให้การต่อศาลว่า มีแรงกดดันจากรัฐบาลให้ อี มีคยอง หลีกเลี่ยงการมีบทบาทในบริษัท เหตุการณ์นี้เป็นส่วนหนึ่งของการเปิดโปงคดีทุจริตของพัค กึนฮเย ซึ่งนำไปสู่การประท้วงครั้งใหญ่และการถอดถอนประธานาธิบดีในปี 2017

หลังจากการเปลี่ยนแปลงทางการเมือง CJ Group ได้กลับมามีบทบาทอย่างเต็มที่ในวงการบันเทิงอีกครั้ง อี มีคยอง กลับมาดำรงตำแหน่งและมีบทบาทสำคัญในการผลักดันภาพยนตร์เรื่อง Parasite (2019) ซึ่งได้รับรางวัลออสการ์และยกระดับภาพลักษณ์ของ CJ ในระดับโลก ซึ่งถ้าใครได้ดูหนังเรื่องนั้นแล้วรู้เรื่องราวเบื้องหลังนี้จะเข้าใจเนื้อหาได้อย่างลึกซึ้งขึ้นไปอีกเลยครับ การนำเสนอเรื่องราวนี้ถือเป็นการวิพากษ์วิจารณ์สังคมและระบบทุนนิยมอย่างชัดเจน ซึ่งแตกต่างจากแนวทางที่ CJ เคยถูกกดดันให้ปฏิบัติตามในยุคของพัค กึนฮเย อย่างสิ้นเชิง

อย่าเพิ่งไปสะใจกับเนื้อหา ให้มองว่า "เขาทำอะไรได้บ้าง" นี่คือประเด็นสำคัญครับ #pirateketo #กูต้องรู้มั๊ย #ม้วนหางสิลูก #siamstr

@ 0fa80bd3:ea7325de

intro

The Russian state made me a Bitcoiner. In 1991, it devalued my grandmother's hard-earned savings. She worked tirelessly in the kitchen of a dining car on the Moscow–Warsaw route. Everything she had saved for my sister and me to attend university vanished overnight. This story is similar to what many experienced, including Wences Casares. The pain and injustice of that time became my first lessons about the fragility of systems and the value of genuine, incorruptible assets, forever changing my perception of money and my trust in government promises.

In 2014, I was living in Moscow, running a trading business, and frequently traveling to China. One day, I learned about the Cypriot banking crisis and the possibility of moving money through some strange thing called Bitcoin. At the time, I didn’t give it much thought. Returning to the idea six months later, as a business-oriented geek, I eagerly began studying the topic and soon dove into it seriously.

I spent half a year reading articles on a local online journal, BitNovosti, actively participating in discussions, and eventually joined the editorial team as a translator. That’s how I learned about whitepapers, decentralization, mining, cryptographic keys, and colored coins. About Satoshi Nakamoto, Silk Road, Mt. Gox, and BitcoinTalk. Over time, I befriended the journal’s owner and, leveraging my management experience, later became an editor. I was drawn to the crypto-anarchist stance and commitment to decentralization principles. We wrote about the economic, historical, and social preconditions for Bitcoin’s emergence, and it was during this time that I fully embraced the idea.

It got to the point where I sold my apartment and, during the market's downturn, bought 50 bitcoins, just after the peak price of $1,200 per coin. That marked the beginning of my first crypto winter. As an editor, I organized workflows, managed translators, developed a YouTube channel, and attended conferences in Russia and Ukraine. That’s how I learned about Wences Casares and even wrote a piece about him. I also met Mikhail Chobanyan (Ukrainian exchange Kuna), Alexander Ivanov (Waves project), Konstantin Lomashuk (Lido project), and, of course, Vitalik Buterin. It was a time of complete immersion, 24/7, and boundless hope.

After moving to the United States, I expected the industry to grow rapidly, attended events, but the introduction of BitLicense froze the industry for eight years. By 2017, it became clear that the industry was shifting toward gambling and creating tokens for the sake of tokens. I dismissed this idea as unsustainable. Then came a new crypto spring with the hype around beautiful NFTs – CryptoPunks and apes.

I made another attempt – we worked on a series called Digital Nomad Country Club, aimed at creating a global project. The proceeds from selling images were intended to fund the development of business tools for people worldwide. However, internal disagreements within the team prevented us from completing the project.

With Trump’s arrival in 2025, hope was reignited. I decided that it was time to create a project that society desperately needed. As someone passionate about history, I understood that destroying what exists was not the solution, but leaving everything as it was also felt unacceptable. You can’t destroy the system, as the fiery crypto-anarchist voices claimed.

With an analytical mindset (IQ 130) and a deep understanding of the freest societies, I realized what was missing—not only in Russia or the United States but globally—a Bitcoin-native system for tracking debts and financial interactions. This could return control of money to ordinary people and create horizontal connections parallel to state systems. My goal was to create, if not a Bitcoin killer app, then at least to lay its foundation.

At the inauguration event in New York, I rediscovered the Nostr project. I realized it was not only technologically simple and already quite popular but also perfectly aligned with my vision. For the past month and a half, using insights and experience gained since 2014, I’ve been working full-time on this project.

@ 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.

@ daa41bed:88f54153

There has been a good bit of discussion on Nostr over the past few days about the merits of zaps as a method of engaging with notes, so after writing a rather lengthy article on the pros of a strategic Bitcoin reserve, I wanted to take some time to chime in on the much more fun topic of digital engagement.

Let's begin by defining a couple of things:

Nostr is a decentralized, censorship-resistance protocol whose current biggest use case is social media (think Twitter/X). Instead of relying on company servers, it relies on relays that anyone can spin up and own their own content. Its use cases are much bigger, though, and this article is hosted on my own relay, using my own Nostr relay as an example.

Zap is a tip or donation denominated in sats (small units of Bitcoin) sent from one user to another. This is generally done directly over the Lightning Network but is increasingly using Cashu tokens. For the sake of this discussion, how you transmit/receive zaps will be irrelevant, so don't worry if you don't know what Lightning or Cashu are.

If we look at how users engage with posts and follows/followers on platforms like Twitter, Facebook, etc., it becomes evident that traditional social media thrives on engagement farming. The more outrageous a post, the more likely it will get a reaction. We see a version of this on more visual social platforms like YouTube and TikTok that use carefully crafted thumbnail images to grab the user's attention to click the video. If you'd like to dive deep into the psychology and science behind social media engagement, let me know, and I'd be happy to follow up with another article.

In this user engagement model, a user is given the option to comment or like the original post, or share it among their followers to increase its signal. They receive no value from engaging with the content aside from the dopamine hit of the original experience or having their comment liked back by whatever influencer they provide value to. Ad revenue flows to the content creator. Clout flows to the content creator. Sales revenue from merch and content placement flows to the content creator. We call this a linear economy -- the idea that resources get created, used up, then thrown away. Users create content and farm as much engagement as possible, then the content is forgotten within a few hours as they move on to the next piece of content to be farmed.

What if there were a simple way to give value back to those who engage with your content? By implementing some value-for-value model -- a circular economy. Enter zaps.

Unlike traditional social media platforms, Nostr does not actively use algorithms to determine what content is popular, nor does it push content created for active user engagement to the top of a user's timeline. Yes, there are "trending" and "most zapped" timelines that users can choose to use as their default, but these use relatively straightforward engagement metrics to rank posts for these timelines.

That is not to say that we may not see clients actively seeking to refine timeline algorithms for specific metrics. Still, the beauty of having an open protocol with media that is controlled solely by its users is that users who begin to see their timeline gamed towards specific algorithms can choose to move to another client, and for those who are more tech-savvy, they can opt to run their own relays or create their own clients with personalized algorithms and web of trust scoring systems.

Zaps enable the means to create a new type of social media economy in which creators can earn for creating content and users can earn by actively engaging with it. Like and reposting content is relatively frictionless and costs nothing but a simple button tap. Zaps provide active engagement because they signal to your followers and those of the content creator that this post has genuine value, quite literally in the form of money—sats.

I have seen some comments on Nostr claiming that removing likes and reactions is for wealthy people who can afford to send zaps and that the majority of people in the US and around the world do not have the time or money to zap because they have better things to spend their money like feeding their families and paying their bills. While at face value, these may seem like valid arguments, they, unfortunately, represent the brainwashed, defeatist attitude that our current economic (and, by extension, social media) systems aim to instill in all of us to continue extracting value from our lives.

Imagine now, if those people dedicating their own time (time = money) to mine pity points on social media would instead spend that time with genuine value creation by posting content that is meaningful to cultural discussions. Imagine if, instead of complaining that their posts get no zaps and going on a tirade about how much of a victim they are, they would empower themselves to take control of their content and give value back to the world; where would that leave us? How much value could be created on a nascent platform such as Nostr, and how quickly could it overtake other platforms?

Other users argue about user experience and that additional friction (i.e., zaps) leads to lower engagement, as proven by decades of studies on user interaction. While the added friction may turn some users away, does that necessarily provide less value? I argue quite the opposite. You haven't made a few sats from zaps with your content? Can't afford to send some sats to a wallet for zapping? How about using the most excellent available resource and spending 10 seconds of your time to leave a comment? Likes and reactions are valueless transactions. Social media's real value derives from providing monetary compensation and actively engaging in a conversation with posts you find interesting or thought-provoking. Remember when humans thrived on conversation and discussion for entertainment instead of simply being an onlooker of someone else's life?

If you've made it this far, my only request is this: try only zapping and commenting as a method of engagement for two weeks. Sure, you may end up liking a post here and there, but be more mindful of how you interact with the world and break yourself from blind instinct. You'll thank me later.

@ 00000001:b0c77eb9

مواقع التواصل الإجتماعي العامة هي التي تتحكم بك، تتحكم بك بفرض أجندتها وتجبرك على اتباعها وتحظر وتحذف كل ما يخالفها، وحرية التعبير تنحصر في أجندتها تلك!

وخوارزمياتها الخبيثة التي لا حاجة لها، تعرض لك مايريدون منك أن تراه وتحجب ما لا يريدونك أن تراه.

في نوستر انت المتحكم، انت الذي تحدد من تتابع و انت الذي تحدد المرحلات التي تنشر منشوراتك بها.

نوستر لامركزي، بمعنى عدم وجود سلطة تتحكم ببياناتك، بياناتك موجودة في المرحلات، ولا احد يستطيع حذفها او تعديلها او حظر ظهورها.

و هذا لا ينطبق فقط على مواقع التواصل الإجتماعي العامة، بل ينطبق أيضاً على الـfediverse، في الـfediverse انت لست حر، انت تتبع الخادم الذي تستخدمه ويستطيع هذا الخادم حظر ما لا يريد ظهوره لك، لأنك لا تتواصل مع بقية الخوادم بنفسك، بل خادمك من يقوم بذلك بالنيابة عنك.

وحتى إذا كنت تمتلك خادم في شبكة الـfediverse، إذا خالفت اجندة بقية الخوادم ونظرتهم عن حرية الرأي و التعبير سوف يندرج خادمك في القائمة السوداء fediblock ولن يتمكن خادمك من التواصل مع بقية خوادم الشبكة، ستكون محصوراً بالخوادم الأخرى المحظورة كخادمك، بالتالي انت في الشبكة الأخرى من الـfediverse!

نعم، يوجد شبكتان في الكون الفدرالي fediverse شبكة الصالحين التابعين للأجندة الغربية وشبكة الطالحين الذين لا يتبعون لها، إذا تم إدراج خادمك في قائمة fediblock سوف تذهب للشبكة الأخرى!

@ 9c9d2765:16f8c2c2

CHAPTER TWENTY FIVE

“It’s over… isn’t it?” Sandra asked gently, her eyes scanning James’s expression as they stood on the balcony overlooking the city skyline. The cold breeze tousled her hair, but James remained still, his hands tucked into the pockets of his tailored suit.

“No,” James replied calmly, his gaze fixated on the horizon. “This is just the eye of the storm. The calm before the reckoning.”

Sandra stepped closer, concern etched into her features. “Mark and Helen are finished in the eyes of the public and everyone round us. The evidence is damning. The authorities have issued warrants. What more could you possibly be planning?”

James turned to face her, a half-smile playing at the edge of his lips one not born of triumph, but of determination.

“Reputation is one thing,” he said, his voice measured and resolute, “but accountability is another. I won’t stop until every lie they told, every trap they laid, and every person they corrupted is exposed. I won’t just silence them, I'll dismantle everything they built with deceit.”

Inside the boardroom, Charles, Rita, and several executives were reviewing the latest media analytics. The company’s reputation had not only recovered but skyrocketed. Investors who once hesitated were now eager, flooding JP Enterprises with new partnerships and proposals.

Rita looked up from the screen. “We’ve just surpassed our projected valuation for the quarter. The crisis gave us more publicity than a million-dollar campaign would.”

Charles chuckled under his breath. “They handed us a scandal, and we turned it into a spotlight.”

Meanwhile, in a dark corner of the city, Mark and Helen sat huddled in a private lawyer’s office. Their appearance had changed drastically; both looked worn, disheveled, stripped of the pride and arrogance they once were like a crown.

“I told you,” Mark muttered bitterly, “we shouldn’t have gone after him like that. We were greedy. And now look ruined.”

Helen clenched her fists. Her pride was still fighting, even though her kingdom had collapsed. “It’s not over. We still have connections. The law can be manipulated. If we go down, we don’t go alone.”

“And say what?” Mark snapped. “That we were outsmarted? That the man we called a street dog now owns eighty-five percent of our legacy? That he single handedly turned the world against us?”

Helen’s jaw tightened. “If there’s one thing I know about James, it’s that he never lets go of the past. And that might just be his weakness.”

But even as they plotted, they didn’t know James had already anticipated their final desperation. Back at JP Enterprises, in a high-security conference room, investigators were filing reports, financial audits, bribery trails, hacked communications all linked directly to the duo. James had ensured that every illegal move they made was documented, cross-referenced, and legally binding.

Later that evening, James stood alone in his office, the city bathed in golden twilight. He took a slow breath and whispered to himself:

“They mistook my silence for surrender. My fall for failure. But every exile sharpens a man’s edge. And now they’ll witness the blade.”

Just then, a knock came at the door.

“Come in,” he said.

It was Mrs. JP, her expression soft but proud.

“You handled yourself like a true heir,” she said, walking toward him.

James turned, emotion flickering in his eyes.

“Thank you,” he said quietly.

She reached out, holding his hand. “Your father and I… we made mistakes. We let our fear and our pride cloud your judgment. But seeing you today, the man you’ve become, I see now that everything we hoped for in a successor lives in you.”

He smiled faintly. “I didn’t do it for recognition. I did it for dignity. For every time I was humiliated, overlooked, and discarded. I wanted to prove that worth isn’t given, it's earned.”

As they stood in silence, the city lights below gleamed like stars scattered on the earth.

The evening had settled quietly over the city, and the soft hum of the wind outside was the only sound that broke the stillness of the room. James stood at the window of his office, watching the neon lights flicker to life across the skyline, each glow a reminder of his success. His gaze, however, wasn’t on the bright lights of victory, but on the darker shadows of those who had tried to ruin him.

He turned around as the door clicked open, revealing Rita, who walked in with a folder in her hands. There was something different in her posturean air of finality in the way she carried herself.

"I’ve been reviewing the report from the legal team," she began, laying the folder on his desk. "The evidence against Mark and Helen is irrefutable. Their assets are frozen, and their personal accounts are being audited. They’re on the brink of losing everything."

James nodded, his face unreadable, but inside, the weight of the moment settled over him. This was the culmination of years of effort, the battle for his honor, his family's name, and the very future of JP Enterprises. But the victory, as sweet as it was, felt hollow.

"Is that all?" he asked, his voice low.

Rita hesitated for a moment. "There’s something else. Something you need to see."

She opened the folder, revealing a series of photographs and documents of Mark and Helen in compromising positions, shaking hands with notorious figures, and receiving bribes from external business associates. The weight of their corruption was staggering. The photos captured the desperation in their eyes, the deceit in their every smile.

James glanced at the images, but there was no anger in his expression. Only an eerie calm.

"I don’t need to see this," he said quietly. "I already know everything."

Rita frowned, confused. "Then why keep going? Why dig into their past when you already have what you need?"

James leaned back in his chair, crossing his arms. "Because it's not about them anymore." He paused, allowing the gravity of his words to settle. "It’s about ensuring that no one else dares to make the same mistakes they did. No one else will ever underestimate me again."

Rita studied him carefully. There was a resolute determination in his eyes a fierce will that had carried him from the streets to the heights of power. She couldn’t help but admire his unwavering focus.

"You’ve become something entirely different," she murmured. "The man we see now... is nothing like the one who started this journey."

James met her gaze, a faint smile tugging at the corners of his lips.

@ 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 ```

@ e3ba5e1a:5e433365

I got into a friendly discussion on X regarding health insurance. The specific question was how to deal with health insurance companies (presumably unfairly) denying claims? My answer, as usual: get government out of it!

The US healthcare system is essentially the worst of both worlds:

• Unlike full single payer, individuals incur high costs
• Unlike a true free market, regulation causes increases in costs and decreases competition among insurers

I'm firmly on the side of moving towards the free market. (And I say that as someone living under a single payer system now.) Here's what I would do:

• Get rid of tax incentives that make health insurance tied to your employer, giving individuals back proper freedom of choice.
• Reduce regulations significantly.

• In the short term, some people will still get rejected claims and other obnoxious behavior from insurance companies. We address that in two ways:

  1. Due to reduced regulations, new insurance companies will be able to enter the market offering more reliable coverage and better rates, and people will flock to them because they have the freedom to make their own choices.
  2. Sue the asses off of companies that reject claims unfairly. And ideally, as one of the few legitimate roles of government in all this, institute new laws that limit the ability of fine print to allow insurers to escape their responsibilities. (I'm hesitant that the latter will happen due to the incestuous relationship between Congress/regulators and insurers, but I can hope.)

Will this magically fix everything overnight like politicians normally promise? No. But it will allow the market to return to a healthy state. And I don't think it will take long (order of magnitude: 5-10 years) for it to come together, but that's just speculation.

And since there's a high correlation between those who believe government can fix problems by taking more control and demanding that only credentialed experts weigh in on a topic (both points I strongly disagree with BTW): I'm a trained actuary and worked in the insurance industry, and have directly seen how government regulation reduces competition, raises prices, and harms consumers.

And my final point: I don't think any prior art would be a good comparison for deregulation in the US, it's such a different market than any other country in the world for so many reasons that lessons wouldn't really translate. Nonetheless, I asked Grok for some empirical data on this, and at best the results of deregulation could be called "mixed," but likely more accurately "uncertain, confused, and subject to whatever interpretation anyone wants to apply."

https://x.com/i/grok/share/Zc8yOdrN8lS275hXJ92uwq98M

@ 2b998b04:86727e47

I recently released my first open-source tool:\ 👉 nostr-signal-filter

It fetches and formats your latest top-level Nostr note or long-form article, cleans up any embedded links using TinyURL, and outputs a clean version ready for reposting to:

• LinkedIn

• Facebook

• X / Twitter

---

⚙️ Built for Simplicity

The stack is intentionally minimal:

• Python + WebSockets + Bech32

• TinyURL API for link shortening

• Dockerized CLI usage:

bash

CopyEdit

docker run --rm -e PUBKEY=npub1yourpubkeyhere nostr-fetcher > latest.md

From idea to working repo took under 3 hours — including debugging, Docker tweaks, README cleanup, and tagging a clean release.\ \ This most certainly would have taken much longer if I had done this all without ChatGPTs' help.\ \ 🖼️ Example Output (latest.md)

text

CopyEdit

🕒 2025-05-20 22:24:17 📄 Note (originally posted on Nostr/primal.net) --- 🚨 New long-form drop: AI Isn’t Magic. It’s Engineering. How I use ChatGPT like any other tool in the stack — with iteration, discernment, and real output. Read it here: https://tinyurl.com/ynv7jq6g ⚡ Zaps appreciated if it resonates. --- 🔗 View on Nostr: https://tinyurl.com/yobvaxkx

---

🧪 Where I Used It

• ✅ My LinkedIn post ->

https://www.linkedin.com/posts/andrew-g-stanton_primal-activity-7330808691933282304-QjmF?utm_source=share&utm_medium=member_desktop&rcm=ACoAAABQv18BeAPYRkxkYSr1mQStB9TczIhoXvQ

• ✅ Facebook: clean rendering with preview ->

https://www.facebook.com/andrewgstanton/posts/pfbid027EHZ1brPRBkHQKNsqUijPdPZGvK9id9asErdTxwjSDEf336o9TsuDPeKugToVDx7l

• ✅ X/Twitter: teaser + link (had to truncate for character limit) ->

https://x.com/AndyGStanton/status/1925045477172773136

---

🙌 Try It Yourself

If you're publishing on Nostr but still sharing on legacy platforms:

👉 github.com/andrewgstanton/nostr-signal-filter

• Clean output

• Easy to run

• Portable via Docker

All it needs is your npub.

---

⚡ Zap Me If You Found This Useful

If this tool saved you time — or if it sparked ideas for your own Nostr publishing stack —\ send a zap my way. I’m always looking to connect with other creators who value signal > noise.

🔗 Zap on Primal -> https://primal.net/andrewgstanton

---

🔭 Next Features (I’d Love Help With)

• Archive all notes + articles (not just the latest 50) to archive.md

• Function to shorten links in any text block

• Output post.md for any given Nostr event ID (not just latest)

• Optional API integration to post directly to LinkedIn or X

---

Built with ChatGPT’s help.\ Iterated. Published. Cross-posted.\ That’s proof of work.

@ 90152b7f:04e57401

WikiLeaks The Global Intelligence Files

Released on 2013-03-11 00:00 GMT

| Email-ID | 364528 | | -------- | --------------------------- | | Date | 2007-09-20 03:02:09 | | From | os@stratfor.com | | To | intelligence@stratfor.com |

Rice, Israeli FM discuss Israeli decision of defining Gaza as "hostile\ entity"\ 2007-09-20 00:41:16\ http://news.xinhuanet.com/english/2007-09/20/content_6756959.htm\ \ JERUSALEM, Sept. 19 (Xinhua) -- Visiting U.S. Secretary of State\ Condoleezza Rice met with Israeli Foreign Minister Tzipi Livni on\ Wednesday, the two discussed Israel's decision that defined the Hamas-\ controlled Gaza Strip as a "hostile entity."\ \ At a joint press conference held after their meeting, Rice told the\ reporters that the Palestinian Hamas is a "hostile entity" to U.S. as well.\ \ Israel's Security Cabinet declared the Gaza Strip a "hostile entity" on\ Wednesday ahead of Rice's visit and said it would cutoff power and fuel\ supplies to the strip.\ \ Gaza's population, largely impoverished, is almost entirely\ dependent on Israel for the supply of electricity, water and fuel, and a\ cutoff would deepen their hardship.\ \ Since the Hamas takeover in June, Israel has closed crossings with\ Gaza almost entirely, allowing in only humanitarian aid. However, Rice\ reiterated that the United States will not abandon the innocent\ Palestinians in Gaza.\ \ For her part, Livni said that Israel withdrew from the Gaza Strip\ two years ago, hoping that could lead to the establishment of a\ Palestinian state, but only get almost daily rocket attacks in return.\ \ "We expect the Palestinians to understand that Israeli security is\ in their own interests," Livni said, adding that Palestinians must\ understand "supporting Hamas won't help them."\ \ The Israeli Security Cabinet's declaration of Gaza as an "hostile\ entity" could lead to the most severe retaliatory measure taken by\ Israel against Palestinian rocket fire from the strip.\ \ The crude rocket attacks have killed 12 people in southern Israel in\ the past seven years, injured dozens more and badly disrupted daily life\ in the region.\ \ Last week, a Qassam rocket hit an Israeli military base near the\ Gaza Strip, wounding over 60 soldiers in the attack. The attack then\ sparked calls for the government to take harsh response against the Gaza\ Strip, which has been under the control of Hamas since it violently took\ over the enclave in mid June.\ \ The Jewish states has been holding Hamas responsible for the attack,\ although the movement has not been directly involved in the attacks.\ Israel still accused the Islamic movement of doing little to halt them.\ \ Apart from the Palestinian issue, Rice also discussed with Livni\ issues about Iran, Lebanon and the Middle East peace progress.\ \ She said Israel and the Palestinians are showing good faith in their\ negotiations towards a "two state solution."\ \ Regarding Iranian issues, Rice told reporters that diplomatic mean\ is a part of efforts to halt the Iranian nuclear program, but stressed\ it "has to have teeth."\ \ Rice, who had visited this region in August, is also expected to\ hold separate meetings on Wednesday with Israeli Defense Minister Ehud\ Barak and the Likud party head Binyamin Netanyahu.\ \ She will then hold a dinner meeting with Israeli Prime Minister Ehud\ Olmert.\ \ Rice is scheduled to leave here Thursday afternoon and visit the\ West Bank city of Ramallah for meetings with the Palestinian leadership\ on Thursday.

@ 9e69e420:d12360c2

Federal employees must remove pronouns from email signatures by the end of the day. This directive comes from internal memos tied to two executive orders signed by Donald Trump. The orders target diversity and equity programs within the government.

CDC, Department of Transportation, and Department of Energy employees were affected. Staff were instructed to make changes in line with revised policy prohibiting certain language.

One CDC employee shared frustration, stating, “In my decade-plus years at CDC, I've never been told what I can and can't put in my email signature.” The directive is part of a broader effort to eliminate DEI initiatives from federal discourse.

@ 0fa80bd3:ea7325de

The land that belongs to the indigenous peoples of Russia has been seized by a gang of killers who have unleashed a war of extermination. They wipe out anyone who refuses to conform to their rules. Those who disagree and stay behind are tortured and killed in prisons and labor camps. Those who flee lose their homeland, dissolve into foreign cultures, and fade away. And those who stand up to protect their people are attacked by the misled and deceived. The deceived die for the unchecked greed of a single dictator—thousands from both sides, people who just wanted to live, raise their kids, and build a future.

Now, they are forced to make an impossible choice: abandon their homeland or die. Some perish on the battlefield, others lose themselves in exile, stripped of their identity, scattered in a world that isn’t theirs.

There’s been endless debate about how to fix this, how to clear the field of the weeds that choke out every new sprout, every attempt at change. But the real problem? We can’t play by their rules. We can’t speak their language or use their weapons. We stand for humanity, and no matter how righteous our cause, we will not multiply suffering. Victory doesn’t come from matching the enemy—it comes from staying ahead, from using tools they haven’t mastered yet. That’s how wars are won.

Our only resource is the will of the people to rewrite the order of things. Historian Timothy Snyder once said that a nation cannot exist without a city. A city is where the most active part of a nation thrives. But the cities are occupied. The streets are watched. Gatherings are impossible. They control the money. They control the mail. They control the media. And any dissent is crushed before it can take root.

So I started asking myself: How do we stop this fragmentation? How do we create a space where people can rebuild their connections when they’re ready? How do we build a self-sustaining network, where everyone contributes and benefits proportionally, while keeping their freedom to leave intact? And more importantly—how do we make it spread, even in occupied territory?

In 2009, something historic happened: the internet got its own money. Thanks to Satoshi Nakamoto, the world took a massive leap forward. Bitcoin and decentralized ledgers shattered the idea that money must be controlled by the state. Now, to move or store value, all you need is an address and a key. A tiny string of text, easy to carry, impossible to seize.

That was the year money broke free. The state lost its grip. Its biggest weapon—physical currency—became irrelevant. Money became purely digital.

The internet was already a sanctuary for information, a place where people could connect and organize. But with Bitcoin, it evolved. Now, value itself could flow freely, beyond the reach of authorities.

Think about it: when seedlings are grown in controlled environments before being planted outside, they get stronger, survive longer, and bear fruit faster. That’s how we handle crops in harsh climates—nurture them until they’re ready for the wild.

Now, picture the internet as that controlled environment for ideas. Bitcoin? It’s the fertile soil that lets them grow. A testing ground for new models of interaction, where concepts can take root before they move into the real world. If nation-states are a battlefield, locked in a brutal war for territory, the internet is boundless. It can absorb any number of ideas, any number of people, and it doesn’t run out of space.

But for this ecosystem to thrive, people need safe ways to communicate, to share ideas, to build something real—without surveillance, without censorship, without the constant fear of being erased.

This is where Nostr comes in.

Nostr—"Notes and Other Stuff Transmitted by Relays"—is more than just a messaging protocol. It’s a new kind of city. One that no dictator can seize, no corporation can own, no government can shut down.

It’s built on decentralization, encryption, and individual control. Messages don’t pass through central servers—they are relayed through independent nodes, and users choose which ones to trust. There’s no master switch to shut it all down. Every person owns their identity, their data, their connections. And no one—no state, no tech giant, no algorithm—can silence them.

In a world where cities fall and governments fail, Nostr is a city that cannot be occupied. A place for ideas, for networks, for freedom. A city that grows stronger the more people build within it.

@ 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

@ 6be5cc06:5259daf0

A seguir, veja como instalar e configurar o Privoxy no Pop!_OS.

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1. Instalar o Tor e o Privoxy

Abra o terminal e execute:

bash sudo apt update sudo apt install tor privoxy

Explicação:

• Tor: Roteia o tráfego pela rede Tor.
• Privoxy: Proxy avançado que intermedia a conexão entre aplicativos e o Tor.

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2. Configurar o Privoxy

Abra o arquivo de configuração do Privoxy:

bash sudo nano /etc/privoxy/config

Navegue até a última linha (atalho: Ctrl + / depois Ctrl + V para navegar diretamente até a última linha) e insira:

bash forward-socks5 / 127.0.0.1:9050 .

Isso faz com que o Privoxy envie todo o tráfego para o Tor através da porta 9050.

Salve (CTRL + O e Enter) e feche (CTRL + X) o arquivo.

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3. Iniciar o Tor e o Privoxy

Agora, inicie e habilite os serviços:

bash sudo systemctl start tor sudo systemctl start privoxy sudo systemctl enable tor sudo systemctl enable privoxy

Explicação:

• start: Inicia os serviços.
• enable: Faz com que iniciem automaticamente ao ligar o PC.

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4. Configurar o Navegador Firefox

Para usar a rede Tor com o Firefox:

1. Abra o Firefox.
2. Acesse Configurações → Configurar conexão.
3. Selecione Configuração manual de proxy.
4. Configure assim:
   • Proxy HTTP: 127.0.0.1
   • Porta: 8118 (porta padrão do Privoxy)
   • Domínio SOCKS (v5): 127.0.0.1
   • Porta: 9050
5. Marque a opção "Usar este proxy também em HTTPS".
6. Clique em OK.

---

5. Verificar a Conexão com o Tor

Abra o navegador e acesse:

text https://check.torproject.org/

Se aparecer a mensagem "Congratulations. This browser is configured to use Tor.", a configuração está correta.

---

Dicas Extras

• Privoxy pode ser ajustado para bloquear anúncios e rastreadores.
• Outros aplicativos também podem ser configurados para usar o Privoxy.

@ 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.

@ 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.

@ 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!

@ 0d1df3b1:7aa4699c

YO

@ cd17b2d6:8cc53332

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@ bc6ccd13:f53098e4

The global population has been rising rapidly for the past two centuries when compared to historical trends. Fifty years ago, that trend seemed set to continue, and there was a lot of concern around the issue of overpopulation. But if you haven’t been living under a rock, you’ll know that while the population is still rising, that trend now seems set to reverse this century, and there’s every indication population could decline precipitously over the next two centuries.

Demographics is a field where predictions about the future are much more reliable than in most scientific fields. That’s because future population trends are “baked in” decades in advance. If you want to know how many fifty-year-olds there will be in forty years, all you have to do is count the ten-year-olds today and allow for mortality rates. That maximum was already determined by the number of births ten years ago, and absolutely nothing can change that now. The average person doesn’t think that through when they look at population trends. You hear a lot of “oh we just need to do more of x to help the declining birthrate” without an acknowledgement that future populations in a given cohort are already fixed by the number of births that already occurred.

As you can see, global birthrates have already declined close to the 2.3 replacement level, with some regions ahead of others, but all on the same trajectory with no region moving against the trend. I’m not going to speculate on the reasons for this, or even whether it’s a good or bad thing. Instead I’m going to make some observations about outcomes this trend could cause economically, and why. Like most macro issues, an individual can’t do anything to change the global landscape personally, but knowing what that landscape might look like is essential to avoiding fallout from trends outside your control.

The Resource Pie

Thomas Malthus popularized the concern about overpopulation with his 1798 book An Essay on the Principle of Population. The basic premise of the book was that population could grow and consume all the available resources, leading to mass poverty, starvation, disease, and population collapse. We can say in hindsight that this was incorrect, given that the global population has increased from less than a billion to over eight billion since then, and the apocalypse Malthus predicted hasn’t materialized. Exactly the opposite, in fact. The global standard of living has risen to levels Malthus couldn’t have imagined, much less predicted.

So where did Malthus go wrong? His hypothesis seems reasonable enough, and we do see a similar trend in certain animal populations. The base assumption Malthus got wrong was to assume resources are a finite, limiting factor to the human population. That at some point certain resources would be totally consumed, and that would be it. He treated it like a pie with a lot of slices, but still a finite number, and assumed that if the population kept rising, eventually every slice would be consumed and there would be no pie left for future generations. That turns out to be completely wrong.

Of course, the earth is finite at some abstract level. The number of atoms could theoretically be counted and quantified. But on a practical level, do humans exhaust the earth’s resources? I’d point to an article from Yale Scientific titled Has the Earth Run out of any Natural Resources? To quote,

> However, despite what doomsday predictions may suggest, the Earth has not run out of any resources nor is it likely that it will run out of any in the near future. > > In fact, resources are becoming more abundant. Though this may seem puzzling, it does not mean that the actual quantity of resources in the Earth’s crust is increasing but rather that the amount available for our use is constantly growing due to technological innovations. According to the U.S. Geological Survey, the only resource we have exhausted is cryolite, a mineral used in pesticides and aluminum processing. However, that is not to say every bit of it has been mined away; rather, producing it synthetically is much more cost efficient than mining the existing reserves at its current value.

As it happens, we don’t run out of resources. Instead, we become better at finding, extracting, and efficiently utilizing resources, which means that in practical terms resources become more abundant, not less. In other words, the pie grows faster than we can eat it.

So is there any resource that actually limits human potential? I think there is, and history would suggest that resource is human ingenuity and effort. The more people are thinking about and working on a problem, the more solutions we find and build to solve it. That means not only does the pie grow faster than we can eat it, but the more people there are, the faster the pie grows. Of course that assumes everyone eating pie is also working to grow the pie, but that’s a separate issue for now.

Productivity and Division of Labor

Why does having more people lead to more productivity? A big part of it comes down to division of labor and specialization. The best way to get really good at something is to do more of it. In a small community, doing just one thing simply isn’t possible. Everyone has to be somewhat of a generalist in order to survive. But with a larger population, being a specialist becomes possible. In fact, that’s the purpose of money, as I explained here.

nostr:naddr1qvzqqqr4gupzp0rve5f6xtu56djkfkkg7ktr5rtfckpun95rgxaa7futy86npx8yqq247t2dvet9q4tsg4qng36lxe6kc4nftayyy89kua2

The more specialized an economy becomes, the more efficient it can be. There are big economies of scale in almost every task or process. So for example, if a single person tried to build a car from scratch, it would be extremely difficult and take a very long time. However, if you have a thousand people building a car, each doing a specific job, they can become very good at doing that specific job and do it much faster. And then you can move that process to a factory, and build machines to do specific jobs, and add even more efficiency.

But that only works if you’re building more than one car. It doesn’t make sense to build a huge factory full of specialized equipment that takes lots of time and effort to design and manufacture, and then only build one car. You need to sell thousands of cars, maybe even millions of cars, to pay off that initial investment. So division of labor and specialization relies on large populations in two different ways. First, you need a large population to have enough people to specialize in each task. But second and just as importantly, you need a large population of buyers for the finished product. You need a big market in order to make mass production economical.

Think of a computer or smartphone. It takes thousands of specialized processes, thousands of complex parts, and millions of people doing specialized jobs to extract the raw materials, process them, and assemble them into a piece of electronic hardware. And electronics are relatively expensive anyway. Imagine how impossible it would be to manufacture electronics economically, if the market demand wasn’t literally in the billions of units.

Stairs Up, Elevator Down

We’ve seen exponential increases in productivity over the past few centuries, resulting in higher living standards even as population exploded. Now, facing the prospect of a drastic trend reversal, what will happen to productivity and living standards? The typical sentiment seems to be “well, there are a lot of people already competing for resources, so if population does decline, that will just reduce the competition and leave a bigger slice of pie for each person, so we’ll all be getting wealthier as a result of population decline.”

This seems reasonable at first glance. Surely dividing the economic pie into fewer slices means a bigger slice for everyone, right? But remember, more specialization and division of labor is what made the pie as big as it is to begin with. And specialization depends on large populations for both the supply of specialized labor, and the demand for finished goods. Can complex supply chains and mass production withstand population reduction intact? I don’t think the answer is clear.

The idea that it will all be okay, and we’ll get wealthier as population falls, is based on some faulty assumptions. It assumes that wealth is basically some fixed inventory of “things” that exist, and it’s all a matter of distribution. That’s typical Marxist thinking, similar to the reasoning behind “tax the rich” and other utopian wealth transfer schemes.

The reality is, wealth is a dynamic concept with strong network effects. For example, a grocery store in a large city can be a valuable asset with a large potential income stream. The same store in a small village with a declining population can be an unprofitable and effectively worthless liability.

Even something as permanent as a house is very susceptible to network effects. If you currently live in an area where housing is scarce and expensive, you might think a declining population would be the perfect solution to high housing costs. However, if you look at a place that’s already facing the beginnings of a population decline, you’ll see it’s not actually that simple. Japan, for example, is already facing an aging and declining population. And sure enough, you can get a house in Japan for free, or basically free. Sounds amazing, right? Not really.

If you check out the reason houses are given away in Japan, you’ll find a depressing reality. Most of the free houses are in rural areas or villages where the population is declining, often to the point that the village becomes uninhabited and abandoned. It’s so bad that in 2018, 13.6% of houses in Japan were vacant. Why do villages become uninhabited? Well, it turns out that a certain population level is necessary to support the services and businesses people need. When the population falls too low, specialized businesses can no longer operated profitably. It’s the exact issue we discussed with division of labor and the need for a high population to provide a market for the specialist to survive. As the local stores, entertainment venues, and businesses close, and skilled tradesmen move away to larger population centers with more customers, living in the village becomes difficult and depressing, if not impossible. So at a certain critical level, a village that’s too isolated will reach a tipping point where everyone leaves as fast as possible. And it turns out that an abandoned house in a remote village or rural area without any nearby services and businesses is worth… nothing. Nobody wants to live there, nobody wants to spend the money to maintain the house, nobody wants to pay the taxes needed to maintain the utilities the town relied on. So they try to give the houses away to anyone who agrees to live there, often without much success.

So on a local level, population might rise gradually over time, but when that process reverses and population declines to a certain level, it can collapse rather quickly from there.

I expect the same incentives to play out on a larger scale as well. Complex supply chains and extreme specialization lead to massive productivity. But there’s also a downside, which is the fragility of the system. Specialization might mean one shop can make all the widgets needed for a specific application, for the whole globe. That’s great while it lasts, but what happens when the owner of that shop retires with his lifetime of knowledge and experience? Will there be someone equally capable ready to fill his shoes? Hopefully… But spread that problem out across the global economy, and cracks start to appear. A specialized part is unavailable. So a machine that relies on that part breaks down and can’t be repaired. So a new machine needs to be built, which is a big expense that drives up costs and prices. And with a falling population, demand goes down. Now businesses are spending more to make fewer items, so they have to raise prices to stay profitable. Now fewer people can afford the item, so demand falls even further. Eventually the business is forced to close, and other industries that relied on the items they produced are crippled. Things become more expensive, or unavailable at any price. Living standards fall. What was a stairway up becomes an elevator down.

Hope, From the Parasite Class?

All that being said, I’m not completely pessimistic about the future. I think the potential for an acceptable outcome exists.

I see two broad groups of people in the economy; producers, and parasites. One thing the increasing productivity has done is made it easier than ever to survive. Food is plentiful globally, the only issues are with distribution. Medical advances save countless lives. Everything is more abundant than ever before. All that has led to a very “soft” economic reality. There’s a lot of non-essential production, which means a lot of wealth can be redistributed to people who contribute nothing, and if it’s done carefully, most people won’t even notice. And that is exactly what has happened, in spades.

There are welfare programs of every type and description, and handouts to people for every reason imaginable. It’s never been easier to survive without lifting a finger. So millions of able-bodied men choose to do just that.

Besides the voluntarily idle, the economy is full of “bullshit jobs.” Shoutout to David Graeber’s book with that title. (It’s an excellent book and one I would highly recommend, even though the author was a Marxist and his conclusions are completely wrong.) A 2015 British poll asked people, “Does your job make a meaningful contribution to the world?” Only 50% said yes, while 37% said no and 13% were uncertain.

This won’t be a surprise to anyone who’s operated a business, or even worked in the private sector in general. There are three types of jobs; jobs that accomplish something productive, jobs that accomplish nothing of value, and jobs that actually hinder people trying to accomplish something productive. The number of jobs in the last two categories has grown massively over the years. This would include a lot of unnecessary administrative jobs, burdensome regulatory jobs, useless DEI and HR jobs, a large percentage of public sector jobs, most of the military-industrial complex, and the list is endless. All these jobs accomplish nothing worthwhile at best, and actively discourage those who are trying to accomplish something at worst.

Even among jobs that do accomplish some useful purpose, the amount of time spent actually doing the job continues to decline. According to a 2016 poll, American office workers spent only 39% of their workday actually doing their primary task. The other 61% was largely wasted on unproductive administrative tasks and meetings, answering emails, and just simply wasting time.

I could go on, but the point is, there’s a lot of slack in the economy. We’ve become so productive that the number of people actually doing the work to keep everyone fed, clothed, and cared for is only a small percentage of the population. In one sense, that’s a cause for optimism. The population could decline a lot, and we’d still have enough bodies to man the economic engine, as it were.

Aging

The thing with population decline, though, is nobody gets to choose who goes first. Not unless you’re a psychopathic dictator. So populations get old, then they get small. This means that the number of dependents in the economy rises naturally. Once people retire, they still need someone to grow the food, keep the lights on, and provide the medical care. And it doesn’t matter how much money the retirees have saved, either. Money is just a claim on wealth. The goods and services actually have to be provided by someone, and if that someone was never born, all the money in the world won’t change anything.

And the aging occurs on top of all the people already taking from the economy without contributing anything of value. So that seems like a big problem.

Currently, wealth redistribution happens through a combination of direct taxes, indirect taxation through deficit spending, and the whole gamut of games that happen when banks create credit/debt money by making loans. In a lot of cases, it’s very indirect and difficult to pin down. For example, someone has a “job” in a government office, enforcing pointless regulations that actually hinder someone in the private sector from producing something useful. Their paycheck comes from the government, so a combination of taxes on productive people, and deficit spending, which is also a tax on productive people. But they “have a job,” so who’s going to question their contribution to society? On the other hand, it could be a banker or hedge fund manager. They might be pulling in a massive salary, but at the core all they’re really doing is finding creative financial ways to transfer wealth from productive people to themselves, without contributing anything of value.

You’ll notice a common theme if you think about this problem deeply. Most of the wealth transfer that supports the unproductive, whether that’s welfare recipients, retirees, bureaucrats, corporate middle managers, or weapons manufacturers, is only possible through expanding the money supply. There’s a limit to how much direct taxation the productive will bear while the option to collect welfare exists. At a certain point, people conclude that working hard every day isn’t worth it, when taxes take so much of their wages that they could make almost as much without working at all. So the balance of what it takes to support the dependent class has to come indirectly, through new money creation.

As long as the declining population happens under the existing monetary system, the future looks bleak. There’s no limit to how much money creation and inflation the parasite class will use in an attempt to avoid work. They’ll continue to suck the productive class dry until the workers give up in disgust, and the currency collapses into hyperinflation. And you can’t run a complex economy without functional money, so productivity inevitably collapses with the currency.

The optimistic view is that we don’t have to continue supporting the failed credit/debt monetary system. It’s hurting productivity, messing up incentives, and contributing to increasing wealth inequality and lower living standards for the middle class. If we walk away from that system and adopt a hard money standard, the possibility of inflationary wealth redistribution vanishes. The welfare and warfare programs have to be slashed. The parasite class is forced to get busy, or starve. In that scenario, the declining population of workers can be offset by a massive shift away from “bullshit jobs” and into actual productive work.

While that might not be a permanent solution to declining population, it would at least give us time to find a real solution, without having our complex economy collapse and send our living standards back to the 17th century.

It’s a complex issue with many possible outcomes, but I think a close look at the effects of the monetary system on productivity shows one obvious problem that will make the situation worse than necessary. Moving to a better monetary system and creating incentives for productivity would do a lot to reduce the economic impacts of a declining population.

@ 52b4a076:e7fad8bd

Introduction

Me and Fishcake have been working on infrastructure for Noswhere and Nostr.build. Part of this involves processing a large amount of Nostr events for features such as search, analytics, and feeds.

I have been recently developing nosdex v3, a newer version of the Noswhere scraper that is designed for maximum performance and fault tolerance using FoundationDB (FDB).

Fishcake has been working on a processing system for Nostr events to use with NB, based off of Cloudflare (CF) Pipelines, which is a relatively new beta product. This evening, we put it all to the test.

First preparations

We set up a new CF Pipelines endpoint, and I implemented a basic importer that took data from the nosdex database. This was quite slow, as it did HTTP requests synchronously, but worked as a good smoke test.

Asynchronous indexing

I implemented a high-contention queue system designed for highly parallel indexing operations, built using FDB, that supports: - Fully customizable batch sizes - Per-index queues - Hundreds of parallel consumers - Automatic retry logic using lease expiration

When the scraper first gets an event, it will process it and eventually write it to the blob store and FDB. Each new event is appended to the event log.

On the indexing side, a Queuer will read the event log, and batch events (usually 2K-5K events) into one work job. This work job contains: - A range in the log to index - Which target this job is intended for - The size of the job and some other metadata

Each job has an associated leasing state, which is used to handle retries and prioritization, and ensure no duplication of work.

Several Workers monitor the index queue (up to 128) and wait for new jobs that are available to lease.

Once a suitable job is found, the worker acquires a lease on the job and reads the relevant events from FDB and the blob store.

Depending on the indexing type, the job will be processed in one of a number of ways, and then marked as completed or returned for retries.

In this case, the event is also forwarded to CF Pipelines.

Trying it out

The first attempt did not go well. I found a bug in the high-contention indexer that led to frequent transaction conflicts. This was easily solved by correcting an incorrectly set parameter.

We also found there were other issues in the indexer, such as an insufficient amount of threads, and a suspicious decrease in the speed of the Queuer during processing of queued jobs.

Along with fixing these issues, I also implemented other optimizations, such as deprioritizing Worker DB accesses, and increasing the batch size.

To fix the degraded Queuer performance, I ran the backfill job by itself, and then started indexing after it had completed.

Bottlenecks, bottlenecks everywhere

After implementing these fixes, there was an interesting problem: The DB couldn't go over 80K reads per second. I had encountered this limit during load testing for the scraper and other FDB benchmarks.

As I suspected, this was a client thread limitation, as one thread seemed to be using high amounts of CPU. To overcome this, I created a new client instance for each Worker.

After investigating, I discovered that the Go FoundationDB client cached the database connection. This meant all attempts to create separate DB connections ended up being useless.

Using OpenWithConnectionString partially resolved this issue. (This also had benefits for service-discovery based connection configuration.)

To be able to fully support multi-threading, I needed to enabled the FDB multi-client feature. Enabling it also allowed easier upgrades across DB versions, as FDB clients are incompatible across versions:

FDB_NETWORK_OPTION_EXTERNAL_CLIENT_LIBRARY="/lib/libfdb_c.so" FDB_NETWORK_OPTION_CLIENT_THREADS_PER_VERSION="16"

Breaking the 100K/s reads barrier

After implementing support for the multi-threaded client, we were able to get over 100K reads per second.

You may notice after the restart (gap) the performance dropped. This was caused by several bugs: 1. When creating the CF Pipelines endpoint, we did not specify a region. The automatically selected region was far away from the server. 2. The amount of shards were not sufficient, so we increased them. 3. The client overloaded a few HTTP/2 connections with too many requests.

I implemented a feature to assign each Worker its own HTTP client, fixing the 3rd issue. We also moved the entire storage region to West Europe to be closer to the servers.

After these changes, we were able to easily push over 200K reads/s, mostly limited by missing optimizations:

It's shards all the way down

While testing, we also noticed another issue: At certain times, a pipeline would get overloaded, stalling requests for seconds at a time. This prevented all forward progress on the Workers.

We solved this by having multiple pipelines: A primary pipeline meant to be for standard load, with moderate batching duration and less shards, and high-throughput pipelines with more shards.

Each Worker is assigned a pipeline on startup, and if one pipeline stalls, other workers can continue making progress and saturate the DB.

The stress test

After making sure everything was ready for the import, we cleared all data, and started the import.

The entire import lasted 20 minutes between 01:44 UTC and 02:04 UTC, reaching a peak of: - 0.25M requests per second - 0.6M keys read per second - 140MB/s reads from DB - 2Gbps of network throughput

FoundationDB ran smoothly during this test, with: - Read times under 2ms - Zero conflicting transactions - No overloaded servers

CF Pipelines held up well, delivering batches to R2 without any issues, while reaching its maximum possible throughput.

Finishing notes

Me and Fishcake have been building infrastructure around scaling Nostr, from media, to relays, to content indexing. We consistently work on improving scalability, resiliency and stability, even outside these posts.

Many things, including what you see here, are already a part of Nostr.build, Noswhere and NFDB, and many other changes are being implemented every day.

If you like what you are seeing, and want to integrate it, get in touch. :)

If you want to support our work, you can zap this post, or register for nostr.land and nostr.build today.

@ 6be5cc06:5259daf0

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.

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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

@ bc6ccd13:f53098e4

The Bitcoin price action since the US presidential election, and particularly today, November 11, has given me an excuse to revisit an idea I’ve written about before. I explained here that money doesn’t “flow into” assets, and that the terminology makes it difficult for people to understand how prices actually work.

nostr:naddr1qvzqqqr4gupzp0rve5f6xtu56djkfkkg7ktr5rtfckpun95rgxaa7futy86npx8yqqhy6mmwv4uj63r0v4ekutt594fx2ctvd3uj63nvdamj6jtww3hj6stw096xs6twvukkgmt9ws6xg86ht5t

The Bitcoin market this year has been a perfect illustration of the points I tried to make, which offers another angle to explain the concept.

Back in January, the first spot Bitcoin ETFs were launched for trading in the US market. This was heralded as a great thing for the Bitcoin price, and tracking “inflows” into these ETFs became a top priority for Bitcoin market analysts. The expectation of course was that more Bitcoin purchased by these ETFs would result in higher prices for the asset.

And sure enough, over the first two months of trading, from mid-January to mid-March, the combined “inflows” to the ETFs totaled around $11 billion. Over the same time frame, the Bitcoin price rose almost 60%, from around $43,000 to $68,000. As should be expected, right?

But then, over the next seven and a half months, from mid-March to early November, the ETFs saw another $11 billion in “inflows”. The Bitcoin price in mid-March? $68,000. In early November? All the way up to… $68,000. Seven and a half months of treading water.

So how can that be? How can $11 billion dollars flowing into an asset cause a 60% price rise once, and no price change at all the next time?

If you read my previous article linked above, you’ll see that the whole idea of money “flowing into” an asset is incorrect and misleading, and this is a perfect illustration why. If you step back a bit, you’ll see the folly of that mentality. So when the ETFs buy $11 billion dollars worth of Bitcoin, where does it come from? They obviously have to buy it from someone. As always, every transaction has a buyer and a seller. In this case, the sellers are current Bitcoin holders selling through OTC desks on the spot market.

So why focus on the ETF buying rather than the Bitcoin holder selling? Instead of saying there were $11 billion in inflows to the Bitcoin ETFs, why not say there were $11 billion in outflows from spot Bitcoin holders? It’s just as valid either way.

To take it a step further, many analysts were consistently confused all summer as Bitcoin ETFs continued to see “inflows” on days that the Bitcoin price stayed flat or even fell. So let’s imagine two consecutive days of $300 million daily “inflows” into the ETFs. The first day, the Bitcoin price rises 3%. The second day, the Bitcoin price falls 3%. The first day, headlines can read Bitcoin Price Rises 3% as ETFs See $300m in Inflows. The second day, headlines can read Bitcoin Price Falls 3% as Spot Bitcoin Holders See $300m in Outflows.

See the silliness of this whole idea? Money flows aren’t the cause of price movement. They’re a fake metric used as a post hoc justification for price moves by people who want you to believe they understand markets better than you.

Moving on to today, as I write this on the evening of November 11, Bitcoin is up 30% from $68,000 to $88,000 in the week since the November 5 election. It rose from $69,000 to $75,000 on election night alone, after US markets had closed and while there were no ETF “inflows” at all. In fact, the ETFs saw over a hundred million dollars in outflows on November 5, followed by an 8% single day price increase.

So if money flows don’t move price, what does?

Investor sentiment, that’s what.

Talking about money flows at all, as illustrated by the Bitcoin ETFs, requires arbitrarily dividing a single market into different segments to disguise the fact that every transaction has both a buyer and a seller, so every transaction has an equal dollar amount of “flows” in both directions. In actuality, price is set by a convergence between the highest price any potential buyer is willing to pay, and the lowest price any potential seller is willing to accept. And that number can change without a single transaction occurring, and without a single dollar “flowing” anywhere.

If every Bitcoin holder simultaneously decided tonight that the lowest price they’re willing to accept is $200,000 per Bitcoin, and a single potential buyer decided to buy a single dollar worth of Bitcoin at that price, that would be the new Bitcoin price tomorrow morning. No ETF “inflows” or institutional buying pressure or short squeezes or liquidations required, or any of the other excuses market analysts use to confuse normal people and make it seem like they have some deep esoteric insight into the workings of markets and future price action.

Don’t overcomplicate something as simple as price. If holders of an asset demand higher prices and potential buyers are willing to pay it, prices rise. If potential buyers of an asset offer lower prices and holders are willing to sell, prices fall. The constant interplay between all those individual investors sentiments is what forms a market and a price. The transferring of money between buyers and sellers is an effect of price, not a cause.

@ c1e9ab3a:9cb56b43

High-Level Overview

Bitcoin developers are currently debating a proposed change to how Bitcoin Core handles the OP_RETURN opcode — a mechanism that allows users to insert small amounts of data into the blockchain. Specifically, the controversy revolves around removing built-in filters that limit how much data can be stored using this feature (currently capped at 80 bytes).

Summary of Both Sides

Position A: Remove OP_RETURN Filters

Advocates: nostr:npub1ej493cmun8y9h3082spg5uvt63jgtewneve526g7e2urca2afrxqm3ndrm, nostr:npub12rv5lskctqxxs2c8rf2zlzc7xx3qpvzs3w4etgemauy9thegr43sf485vg, nostr:npub17u5dneh8qjp43ecfxr6u5e9sjamsmxyuekrg2nlxrrk6nj9rsyrqywt4tp, others

Arguments: - Ineffectiveness of filters: Filters are easily bypassed and do not stop spam effectively. - Code simplification: Removing arbitrary limits reduces code complexity. - Permissionless innovation: Enables new use cases like cross-chain bridges and timestamping without protocol-level barriers. - Economic regulation: Fees should determine what data gets added to the blockchain, not protocol rules.

Position B: Keep OP_RETURN Filters

Advocates: nostr:npub1lh273a4wpkup00stw8dzqjvvrqrfdrv2v3v4t8pynuezlfe5vjnsnaa9nk, nostr:npub1s33sw6y2p8kpz2t8avz5feu2n6yvfr6swykrnm2frletd7spnt5qew252p, nostr:npub1wnlu28xrq9gv77dkevck6ws4euej4v568rlvn66gf2c428tdrptqq3n3wr, others

Arguments: - Historical intent: Satoshi included filters to keep Bitcoin focused on monetary transactions. - Resource protection: Helps prevent blockchain bloat and abuse from non-financial uses. - Network preservation: Protects the network from being overwhelmed by low-value or malicious data. - Social governance: Maintains conservative changes to ensure long-term robustness.

Strengths and Weaknesses

Strengths of Removing Filters

• Encourages decentralized innovation.
• Simplifies development and maintenance.
• Maintains ideological purity of a permissionless system.

Weaknesses of Removing Filters

• Opens the door to increased non-financial data and potential spam.
• May dilute Bitcoin’s core purpose as sound money.
• Risks short-term exploitation before economic filters adapt.

Strengths of Keeping Filters

• Preserves Bitcoin’s identity and original purpose.
• Provides a simple protective mechanism against abuse.
• Aligns with conservative development philosophy of Bitcoin Core.

Weaknesses of Keeping Filters

• Encourages central decision-making on allowed use cases.
• Leads to workarounds that may be less efficient or obscure.
• Discourages novel but legitimate applications.

Long-Term Consequences

If Filters Are Removed

• Positive: Potential boom in new applications, better interoperability, cleaner architecture.
• Negative: Risk of increased blockchain size, more bandwidth/storage costs, spam wars.

If Filters Are Retained

• Positive: Preserves monetary focus and operational discipline.
• Negative: Alienates developers seeking broader use cases, may ossify the protocol.

Conclusion

The debate highlights a core philosophical split in Bitcoin: whether it should remain a narrow monetary system or evolve into a broader data layer for decentralized applications. Both paths carry risks and tradeoffs. The outcome will shape not just Bitcoin's technical direction but its social contract and future role in the broader crypto ecosystem.

@ 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.

@ 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.”

@ 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.

@ 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

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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

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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.

@ c1e9ab3a:9cb56b43

If you ever read about a hypothetical "evil AI"—one that manipulates, dominates, and surveils humanity—you might find yourself wondering: how is that any different from what some governments already do?

Let’s explore the eerie parallels between the actions of a fictional malevolent AI and the behaviors of powerful modern states—specifically the U.S. federal government.

Surveillance and Control

Evil AI: Uses total surveillance to monitor all activity, predict rebellion, and enforce compliance.

Modern Government: Post-9/11 intelligence agencies like the NSA have implemented mass data collection programs, monitoring phone calls, emails, and online activity—often without meaningful oversight.

Parallel: Both claim to act in the name of “security,” but the tools are ripe for abuse.

Manipulation of Information

Evil AI: Floods the information space with propaganda, misinformation, and filters truth based on its goals.

Modern Government: Funds media outlets, promotes specific narratives through intelligence leaks, and collaborates with social media companies to suppress or flag dissenting viewpoints.

Parallel: Control the narrative, shape public perception, and discredit opposition.

Economic Domination

Evil AI: Restructures the economy for efficiency, displacing workers and concentrating resources.

Modern Government: Facilitates wealth transfer through lobbying, regulatory capture, and inflationary monetary policy that disproportionately hurts the middle and lower classes.

Parallel: The system enriches those who control it, leaving the rest with less power to resist.

Perpetual Warfare

Evil AI: Instigates conflict to weaken opposition or as a form of distraction and control.

Modern Government: Maintains a state of nearly constant military engagement since WWII, often for interests that benefit a small elite rather than national defense.

Parallel: War becomes policy, not a last resort.

Predictive Policing and Censorship

Evil AI: Uses predictive algorithms to preemptively suppress dissent and eliminate threats.

Modern Government: Experiments with pre-crime-like measures, flags “misinformation,” and uses AI tools to monitor online behavior.

Parallel: Prevent rebellion not by fixing problems, but by suppressing their expression.

Conclusion: Systemic Inhumanity

Whether it’s AI or a bureaucratic state, the more a system becomes detached from individual accountability and human empathy, the more it starts to act in ways we would call “evil” if a machine did them.

An AI doesn’t need to enslave humanity with lasers and killer robots. Sometimes all it takes is code, coercion, and unchecked power—something we may already be facing.

@ 6389be64:ef439d32

Black Locust can grow up to 170 ft tall

Grows 3-4 ft. per year

Native to North America

Cold hardy in zones 3 to 8

Firewood

• BLT wood, on a pound for pound basis is roughly half that of Anthracite Coal
• Since its growth is fast, firewood can be plentiful

Timber

• Rot resistant due to a naturally produced robinin in the wood
  • 100 year life span in full soil contact! (better than cedar performance)
  • Fence posts
  • Outdoor furniture
  • Outdoor decking
• Sustainable due to its fast growth and spread
  • Can be coppiced (cut to the ground)
  • Can be pollarded (cut above ground)
• Its dense wood makes durable tool handles, boxes (tool), and furniture
  • The wood is tougher than hickory, which is tougher than hard maple, which is tougher than oak.
  • A very low rate of expansion and contraction
  • Hardwood flooring
  • The highest tensile beam strength of any American tree
• The wood is beautiful

Legume

• Nitrogen fixer
  • Fixes the same amount of nitrogen per acre as is needed for 200-bushel/acre corn
  • Black walnuts inter-planted with locust as “nurse” trees were shown to rapidly increase their growth [[Clark, Paul M., and Robert D. Williams. (1978) Black walnut growth increased when interplanted with nitrogen-fixing shrubs and trees. Proceedings of the Indiana Academy of Science, vol. 88, pp. 88-91.]]

Bees

• The edible flower clusters are also a top food source for honey bees

Shade Provider

• Its light, airy overstory provides dappled shade
  • Planted on the west side of a garden it provides relief during the hottest part of the day
  • (nitrogen provider)
  • Planted on the west side of a house, its quick growth soon shades that side from the sun

Wind-break

• Fast growth plus it's feathery foliage reduces wind for animals, crops, and shelters

Fodder

• Over 20% crude protein
• 4.1 kcal/g of energy
• Baertsche, S.R, M.T. Yokoyama, and J.W. Hanover (1986) Short rotation, hardwood tree biomass as potential ruminant feed-chemical composition, nylon bag ruminal degradation and ensilement of selected species. J. Animal Sci. 63 2028-2043

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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

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Prepared for Off-World Visitors by the Risan Institute of Cultural Heritage

Welcome to Risa, the jewel of the Alpha Quadrant, celebrated across the Federation for its tranquility, pleasure, and natural splendor. But what many travelers do not know is that Risa’s current harmony was not inherited—it was forged. Beneath the songs of surf and the serenity of our resorts lies a history rich in conflict, transformation, and enduring wisdom.

We offer this briefing not merely as a tale of our past, but as an invitation to understand the spirit of our people and the roots of our peace.

I. A World at the Crossroads

Before its admittance into the United Federation of Planets, Risa was an independent and vulnerable world situated near volatile borders of early galactic powers. Its lush climate, mineral wealth, and open society made it a frequent target for raiders and an object of interest for imperial expansion.

The Risan peoples were once fragmented, prone to philosophical and political disunity. In our early records, this period is known as the Winds of Splintering. We suffered invasions, betrayals, and the slow erosion of trust in our own traditions.

II. The Coming of the Vulcans

It was during this period of instability that a small delegation of Vulcan philosophers, adherents to the teachings of Surak, arrived on Risa. They did not come as conquerors, nor even as ambassadors, but as seekers of peace.

These emissaries of logic saw in Risa the potential for a society not driven by suppression of emotion, as Vulcan had chosen, but by the balance of joy and discipline. While many Vulcans viewed Risa’s culture as frivolous, these followers of Surak saw the seed of a different path: one in which beauty itself could be a pillar of peace.

The Risan tradition of meditative dance, artistic expression, and communal love resonated with Vulcan teachings of unity and inner control. From this unlikely exchange was born the Ricin Doctrine—the belief that peace is sustained not only through logic or strength, but through deliberate joy, shared vulnerability, and readiness without aggression.

III. Betazed and the Trial of Truth

During the same era, early contact with the people of Betazed brought both inspiration and tension. A Betazoid expedition, under the guise of diplomacy, was discovered to be engaging in deep telepathic influence and information extraction. The Risan people, who valued consent above all else, responded not with anger, but with clarity.

A council of Ricin philosophers invited the Betazoid delegation into a shared mind ceremony—a practice in which both cultures exposed their thoughts in mutual vulnerability. The result was not scandal, but transformation. From that moment forward, a bond was formed, and Risa’s model of ethical emotional expression and consensual empathy became influential in shaping Betazed’s own peace philosophies.

IV. Confronting Marauders and Empires

Despite these philosophical strides, Risa’s path was anything but tranquil.

• Orion Syndicate raiders viewed Risa as ripe for exploitation, and for decades, cities were sacked, citizens enslaved, and resources plundered. In response, Risa formed the Sanctum Guard, not a military in the traditional sense, but a force of trained defenders schooled in both physical technique and psychological dissuasion. The Ricin martial arts, combining beauty with lethality, were born from this necessity.

• Andorian expansionism also tested Risa’s sovereignty. Though smaller in scale, skirmishes over territorial claims forced Risa to adopt planetary defense grids and formalize diplomatic protocols that balanced assertiveness with grace. It was through these conflicts that Risa developed the art of the ceremonial yield—a symbolic concession used to diffuse hostility while retaining honor.

• Romulan subterfuge nearly undid Risa from within. A corrupt Romulan envoy installed puppet leaders in one of our equatorial provinces. These agents sought to erode Risa’s social cohesion through fear and misinformation. But Ricin scholars countered the strategy not with rebellion, but with illumination: they released a network of truths, publicly broadcasting internal thoughts and civic debates to eliminate secrecy. The Romulan operation collapsed under the weight of exposure.

• Even militant Vulcan splinter factions, during the early Vulcan-Andorian conflicts, attempted to turn Risa into a staging ground, pressuring local governments to support Vulcan supremacy. The betrayal struck deep—but Risa resisted through diplomacy, invoking Surak’s true teachings and exposing the heresy of their logic-corrupted mission.

V. Enlightenment Through Preparedness

These trials did not harden us into warriors. They refined us into guardians of peace. Our enlightenment came not from retreat, but from engagement—tempered by readiness.

• We train our youth in the arts of balance: physical defense, emotional expression, and ethical reasoning.
• We teach our history without shame, so that future generations will not repeat our errors.
• We host our guests with joy, not because we are naïve, but because we know that to celebrate life fully is the greatest act of resistance against fear.

Risa did not become peaceful by denying the reality of conflict. We became peaceful by mastering our response to it.

And in so doing, we offered not just pleasure to the stars—but wisdom.

We welcome you not only to our beaches, but to our story.

May your time here bring you not only rest—but understanding.

– Risan Institute of Cultural Heritage, in collaboration with the Council of Enlightenment and the Ricin Circle of Peacekeepers

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Bullshit Jobs, for those unfamiliar, is the title of a 2018 book by anthropologist David Graeber. It’s well worth a read just for the fascinating research and the engaging writing style. The premise of the book is that many people work in jobs that contribute nothing to society, and would not be missed if they suddenly vanished overnight.

The data backs this up. In a 2015 British poll that asked “does your job make a meaningful contribution to the world?”, 37 percent of people said no, and another 13 percent weren’t sure. That’s fully half the population who can’t confidently say their job is even worth doing. And other polls have found similar or worse results.

The book was inspired by the overwhelming response to a 2013 article Graeber wrote titled On the Phenomenon of Bullshit Jobs: A Work Rant. The point I’d like to address is found here.

Over the course of the last century, the number of workers employed as domestic servants, in industry, and in the farm sector has collapsed dramatically. At the same time, ‘professional, managerial, clerical, sales, and service workers’ tripled, growing ‘from one-quarter to three-quarters of total employment.’ In other words, productive jobs have, just as predicted, been largely automated away (even if you count industrial workers globally, including the toiling masses in India and China, such workers are still not nearly so large a percentage of the world population as they used to be.)

But rather than allowing a massive reduction of working hours to free the world’s population to pursue their own projects, pleasures, visions, and ideas, we have seen the ballooning of not even so much of the ‘service’ sector as of the administrative sector, up to and including the creation of whole new industries like financial services or telemarketing, or the unprecedented expansion of sectors like corporate law, academic and health administration, human resources, and public relations.

These are what I propose to call ‘bullshit jobs’.

It’s as if someone were out there making up pointless jobs just for the sake of keeping us all working. And here, precisely, lies the mystery. In capitalism, this is precisely what is not supposed to happen. Sure, in the old inefficient socialist states like the Soviet Union, where employment was considered both a right and a sacred duty, the system made up as many jobs as they had to (this is why in Soviet department stores it took three clerks to sell a piece of meat). But, of course, this is the sort of very problem market competition is supposed to fix. According to economic theory, at least, the last thing a profit-seeking firm is going to do is shell out money to workers they don’t really need to employ. Still, somehow, it happens.

While corporations may engage in ruthless downsizing, the layoffs and speed-ups invariably fall on that class of people who are actually making, moving, fixing and maintaining things; through some strange alchemy no one can quite explain, the number of salaried paper-pushers ultimately seems to expand, and more and more employees find themselves, not unlike Soviet workers actually, working 40 or even 50 hour weeks on paper, but effectively working 15 hours just as Keynes predicted, since the rest of their time is spent organizing or attending motivational seminars, updating their facebook profiles or downloading TV box-sets.

The answer clearly isn’t economic: it’s moral and political.

In the book, Graeber expands on this idea with a very entertaining description of the many flavors of bullshit jobs, based on anecdotes from readers of his article. He follows that up with theories speculating on the cause of this situation. And wraps it all up with the conclusion that basically capitalists are all big meanies and invent bullshit jobs just to torture people and prevent the arrival of the Marxist utopia where no one has to do much real work and we all sit around and sing kumbaya and discuss philosophy. That’s too harsh a criticism of a very well researched and written book, but I have to confess I was sorely disappointed the first time I read it by the author’s failure to even entertain what seems like the obvious alternative explanation.

Graeber acknowledges in the book that it’s not surprising bullshit jobs exist inside government, although he doesn’t focus strongly enough on why that is. Like he does in the article, he tries to brush it off with the excuse that the same problem exists in the private sector. As he acknowledges, this isn’t supposed to happen in capitalism. He realizes that it makes no logical economic sense for a profit-seeking firm to hire workers to do nothing productive.

But then he follows that acknowledgement with the claim that “The answer clearly isn’t economic: it’s moral and political.” I’m sorry, what? How is that clear? How do you go from stating an obvious economic fact, to denying that the problem is economic, and call it “clear”.

“Still, somehow, it happens,” is not anywhere close to a sufficient explanation to rule out an economic factor.

The economic explanation

First, some definitions.

Capitalism is defined as “an economic system in which the means of production and distribution are privately or corporately owned and development occurs through the accumulation and reinvestment of profits gained in a free market.”

A free market is “an economic system in which prices are based on competition among private businesses and are not controlled or regulated by a government: a market operating by free competition.”

Now that we made sure we’re talking about the same thing, we can analyze this issue logically.

Capitalism and free markets work through competition for customers. It’s an economic law that a customer won’t pay more for the same good or service when they could pay less. Someone can try to make obscure and esoteric objections and force me to emphasize the word “same” and analyze what the good or service being purchased actually is, but everyone else understands this intuitively. So if two companies are offering the same product for sale, all things being equal, the company offering lower prices will attract the customers. Pretty simple stuff.

Of course, the goal for the company is to generate profits. It’s literally in the definition of the word “capitalism”. So any system in which companies have a goal other than generating profits is, by definition, not capitalism.

A company can increase its profits two ways: raising prices, or lowering costs. We don’t have to get too philosophical to realize that if a company is paying someone to do nothing, the company could increase profits by firing that person and lowering their costs of production.

So the question is, why don’t they? Why do they hire people who increase their costs and lower their profits, thereby making them less competitive? And more importantly, if they do make that mistake, why don’t their competitors undercut their prices and take all the customers and bankrupt them?

I don’t think we can dismiss the economic factor as off-handedly as Graeber does. After all, making a profit is the fundamental, definitional purpose of a business or company in a capitalist economy. To say “companies in this capitalist economy are doing something completely antithetical to the very principles and definition of capitalism, so obviously they’re not doing it for economic reasons” is something of a non sequitur.

The conclusion, to me, seems obvious. We don’t have a capitalist economy. As far as I can tell, that’s true by definition. If companies aren’t even trying to achieve the goal companies must achieve to survive in a capitalist economy, and somehow they’re still surviving, that’s proof of the non-capitalist nature of the economy.

Which part of the capitalist system are we missing?

Well, let’s start with the obvious: there’s a lot of government in our economy. The government isn’t privately owned, which makes it not capitalist by definition. So any part of the economy that’s government is not capitalist.

Why is government not capitalist? Because government is not motivated to provide goods and services at a profit. Why not? Because government does not sell goods and services into a free market. Government gives away goods and services to its “customers” for free, because they’re paid for by people other than the consumers of the service. That payment comes in one of two ways: taxes, and debt. It’s not a voluntary transaction.

Which part of the capitalist system might private companies be missing?

They could be lacking competition. That is, operating a monopoly or cartel. If there’s no competing business to provide goods at lower prices, the company could hire people for useless jobs and compensate by raising prices. This places them outside the definition of capitalism, since “free competition” is part of the definition of a free market. Monopolies and cartels often develop and survive through protection by the government, which emphasizes their un-capitalistic nature.

They could be in a temporary situation where the people making the management decisions are sufficiently insulated from the market forces at play that their poor decisions can persist for a while. Many companies begin to lose their competitive edge at some point, after getting big enough to have economic inertia and for the management to be less accountable for business performance. If a company has grown big enough, they can start making poor financial decisions and absorb the lost profits, sometimes for years, before losing their market share to a smaller, more competitive rival. This isn’t really an absence of capitalism, just the natural creative destruction necessary for capitalism to function. The problem comes when a company that’s obviously uncompetitive is prevented from failing through un-capitalistic means. Maybe they’re big enough and wealthy enough to pressure the government into granting them monopoly status. This doesn’t have to be open, it’s often through creating such an impenetrable legal morass around the industry that no competitor can emerge. Or it can be in the form of a “too big to fail” direct government bailout.

The company could also be lacking that essential link between customer satisfaction and business income. In other words, maybe they aren’t selling to their customers. That can happen for various reasons.

Some companies are “private companies” but sell to the government. The government is not a customer in the capitalist sense, because the government spends money taken coercively from its subjects, not money earned voluntarily in the free market. So any company like Raytheon or Boeing that survives off government contracts can’t be accurately called a capitalist organization.

In an industry like healthcare, where the insurance companies are the middlemen in basically all transactions between patients and doctors, there are also lots of ways for bullshit jobs to proliferate. Patients don’t care how much a procedure costs, just that it helps them. Doctors don’t care how much a procedure costs, just that the insurance company will pay for it. And insurance companies don’t care whether a procedure helps the patient, they just want to collect as many premiums as possible while paying out as little for care as possible. The fact that the patient isn’t paying the doctor for their care breaks the necessary link between customer and producer that’s essential for a free market to function. That combines with the regulatory moat and cartel-like structure of the healthcare industry to prevent the competitive function of capitalism from occurring.

Companies could also be surviving off of money from someone other than their customers: bankers and investors. There’s obviously a role in a capitalist system for investors to support a new venture until it’s able to attract customers and establish a stable and profitable business model. But many companies today exist for much longer than economically reasonable without turning a profit. In the US, almost 2,000 of the 5,000 publicly traded companies with data available were classified as “zombie companies”, meaning they don’t even make enough profit to pay the interest on their debt. So they’re going deeper in the hole every year. How can this continue?

Well, the alternative to paying off your debt, is to borrow even more money to make payments on the debt you already owe. If this sounds similar to how the US government survives, then you’re beginning to get the picture.

How can banks keep loaning money to unprofitable businesses? And why would they do it? It doesn’t make sense… until you understand how banking works.

That’s really the core focus of most of my writing, and I’ve written multiple articles on money and banking explaining how the system works as I understand it. This would be a good one focused on banking specifically.

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To very briefly recap, banks don’t make loans by taking in money from depositors and loaning that money to borrowers. Instead, banks create new money that never existed before out of thin air and loan that new money to borrowers. Banks make a profit by charging borrowers interest on this newly created money, which costs them nothing to create. A pretty cushy gig, if you can get it.

So from the perspective of the banks, the more loans and debt outstanding, the better. Every dollar of debt is a dollar they can collect interest on. It cost them nothing to create, so the more, the merrier. In fact, the banks would prefer that the loan principle never be repaid, because once it’s repaid, they can no longer collect interest on that loan until they make another loan to replace it. As long as the borrower keeps paying interest, the banks are happy. And if they need to lend the borrower some more money so he can afford to pay the interest, that’s fine too. Anything but letting the loan default.

Given those incentives, how do you expect a chart of the outstanding loans and credit of US commercial banks to look?

If you guessed up only, you’d be correct.

So what does this banking system have to do with bullshit jobs? Well, I’d argue that the fractionally reserved fiat banking system, in and of itself, is an anti-capitalist system. Money is the communication layer of capitalism, as I’ve previously written.

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When one group of people can create money out of thin air, they have the ability to reallocate wealth in the economy. As long as the money is still functional, of course. Too much money creation and wealth reallocation, and people stop trusting the money. That’s when inflation becomes hyperinflation, the money no longer functions, and the whole system implodes.

Wealth reallocation by a small select group is the essence of a centrally planned socialist/Marxist economy. And we all know how efficient those economies are. In fact, Graeber himself mentioned the inefficiency of socialist states like the Soviet Union in his original article, and was not at all surprised by the existence of bullshit jobs in such an economic system. When wealth can be reallocated by central planners without regard to people’s preferences in a free market, inefficiency is never punished, so zombie companies full of bullshit jobs never go bankrupt.

The same thing happens under our “capitalist” system. Zombie companies full of bullshit jobs can get almost unlimited funding from too-big-to-fail banks, who don’t care whether they repay the loans, as long as they stay in business and keep making the interest payments. Sometimes the funding is in the form of loans directly, sometimes it’s in the form of massive stock market bubbles inflated by the endless money creation, sometimes through junk bond issuance funded by the same bubble economics, and sometimes it’s venture capital funds flush with liquidity for the same reason. Regardless, the cause, and the outcome, are the same.

The corrupt bankers own the corrupt politicians, so when the inevitable so-called black swan event occurs and the rotten edifice starts to quiver, another bailout is promptly rolled out. The government borrows trillions from their owners over at the Federal Reserve, who create the money out of thin air. The government sends it on over to the bankers who got caught with their hand in the cookie jar once again, and they paper over the massive holes in their balance sheet caused by blowing asset bubbles and funding inefficient zombie companies. Or sometimes, the government skips the middlemen entirely and bails out Boeing or whoever it happens to be directly.

And once again, bullshit jobs that couldn’t survive free market competition are rewarded at the expense of savers and taxpayers. As always, this flood of new liquidity flows out through the economy, causing inflation and boosting income for other inefficient companies that also deserved to fail. Creative destruction, a fundamental feature of a capitalist system, is avoided once again.

In my opinion, the banking system is at the root of the problem causing the proliferation of bullshit jobs. The system itself is, by design, fundamentally anti-capitalist in nature and function. It’s really a giant privately owned economic central planning system, in which a small fraction of people determine how resources are allocated, with privatized profits and socialized losses. The Soviet technocrats would be jealous.

Unfortunately, the bankers have successfully connected their industry so tightly to the term “capitalist” that showing people they’re anything but is almost impossible. To paraphrase the well-known quote, the greatest trick the bankers ever pulled was convincing the world that they’re the real capitalists.

Until the banking and monetary system fundamentally changes, inefficiency will persist and bullshit jobs will continue to proliferate. In my opinion, the problem is very much an economic problem. And it’s not a “late-stage capitalism” problem, it’s a “capitalism left the building a century ago” problem. We don’t need to get rid of capitalism, we’ve already done that. We need to bring sound money, and with it the possibility of a capitalist economy, back again.

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In our culture today, people like to have “my truth” as opposed to “your truth.” They want to have teachers who tell them what they want to hear and worship in the way they desire. The Bible predicted these times.

For the time will come when people will not put up with sound doctrine. Instead, to suit their own desires, they will gather around them a great number of teachers to say what their itching ears want to hear. (2 Timothy 4:3)

My question is, “do we get to choose what we want to believe about God and how we want to worship Him, or does God tell us what we are to believe and how we are to worship Him?”

The Bible makes it clear that He is who He says He is and He expects obedience and worship according to His commands. We do not get to decide for ourselves.

The woman said to Him, “Sir, I perceive that You are a prophet. Our fathers worshiped in this mountain, and you people say that in Jerusalem is the place where men ought to worship.” Jesus said to her, “Woman, believe Me, an hour is coming when neither in this mountain nor in Jerusalem will you worship the Father. You worship what you do not know; we worship what we know, for salvation is from the Jews. But an hour is coming, and now is, when the true worshipers will worship the Father in spirit and truth; for such people the Father seeks to be His worshipers. God is spirit, and those who worship Him must worship in spirit and truth.” (John 4:19-24) {emphasis mine}

In this passage, Jesus gently corrects the woman for worshipping what she does not know. He also says, “God is spirit, and those who worship Him must worship in spirit and truth.” He states what God is (spirit) and how He must be worshipped “in spirit and truth.” We don’t get to define God however we wish, and we don’t get to worship Him any way we wish. God is who He has revealed Himself to be and we must obey Him and worship Him the way He has commanded.

In this next passage, God makes clear that He is holy and we do not get to worship Him any way we wish. We are to interact with Him in the prescribed manner.

Now Nadab and Abihu, the sons of Aaron, took their respective firepans, and after putting fire in them, placed incense on it and offered strange fire before the Lord, which He had not commanded them. And fire came out from the presence of the Lord and consumed them, and they died before the Lord. Then Moses said to Aaron, “It is what the Lord spoke, saying,

‘By those who come near Me I will be treated as holy,\ And before all the people I will be honored.’ ”

So Aaron, therefore, kept silent. (Leviticus 10:1-3) {emphasis mine}

God had prescribed a particular way to approach Him and only those whom He had chosen (priests of the lineage of Aaron). Nadab and Abihu chose to “do it their way” and paid the price for ignoring God’s command. God set an example with them.

God has been gracious enough to reveal Himself, His character, His power, and His commands to us. If we have truly submitted ourselves to His rule, we should hunger for God’s words so we can know Him better and honor Him in obedience.

But now I come to You; and these things I speak in the world so that they may have My joy made full in themselves. I have given them Your word; and the world has hated them, because they are not of the world, even as I am not of the world. I do not ask You to take them out of the world, but to keep them from the evil one. They are not of the world, even as I am not of the world. Sanctify them in the truth; Your word is truth. (John 17:13-17) {emphasis mine}

In today’s culture, everybody likes to claim their own personal truth, but that isn’t how truth works. The truth is not determined by an individual for themselves. It isn’t even determined by a consensus or majority vote. The truth is the truth even if not one person on earth believes it. God speaks truth and God is truth. Our belief or lack thereof doesn’t change the truth, but our lack of belief in the truth, especially the truth as revealed by God in His word, can negatively affect our relationship with God.

God expects us to study His word so we can obey His commands.

For I did not speak to your fathers, or command them in the day that I brought them out of the land of Egypt, concerning burnt offerings and sacrifices. But this is what I commanded them, saying, ‘Obey My voice, and I will be your God, and you will be My people; and you will walk in all the way which I command you, that it may be well with you.’ Yet they did not obey or incline their ear, but walked in their own counsels and in the stubbornness of their evil heart, and went backward and not forward. Since the day that your fathers came out of the land of Egypt until this day, I have sent you all My servants the prophets, daily rising early and sending them. Yet they did not listen to Me or incline their ear, but stiffened their neck; they did more evil than their fathers. (Jeremiah 7:22-26) {emphasis mine}

Today you rarely see someone bowing down to a golden idol, but that doesn’t mean that we are any better at obeying God’s commands or submitting to His will. We still try to make God in our own image so He is a convenience to us and how we want to live our lives. We still put other things ahead of God — family, work, entertainment, fame, etc. Most of us aren’t any more faithful to God than the Israelites were. Just like the Israelites, we put on the trappings of faith but don’t live according to faith and faithfulness.

And He said to them, “Rightly did Isaiah prophesy of you hypocrites, as it is written:

‘This people honors Me with their lips,\ But their heart is far away from Me.\ **But in vain do they worship Me,\ Teaching as doctrines the precepts of men.’\ Neglecting the commandment of God, you hold to the tradition of men.”

He was also saying to them, “You are experts at setting aside the commandment of God in order to keep your tradition. (Mark 7:6-9) {emphasis mine}

How many “churches” and “Christian” leaders teach people according to the culture instead of according to the Word of God? How many tell people what they want to hear and what makes them feel good instead of what they need to hear — the truth as spoken through the Bible? How many church attenders follow a “Christian” leader more than they follow their Creator, Savior, and God? How many church attenders can recite the words of their leaders better than the Holy Scriptures?

I solemnly charge you in the presence of God and of Christ Jesus, who is to judge the living and the dead, and by His appearing and His kingdom: preach the word; be ready in season and out of season; reprove, rebuke, exhort, with great patience and instruction. For the time will come when they will not endure sound doctrine; but wanting to have their ears tickled, they will accumulate for themselves teachers in accordance to their own desires, and will turn away their ears from the truth and will turn aside to myths. But you, be sober in all things, endure hardship, do the work of an evangelist, fulfill your ministry. (2 Timothy 4:1-5) {emphasis mine}

How can we know if a church leader is rightly preaching God’s word? We can only know if we have read the Bible and studied it. We should be like the Bereans:

Now these were more noble-minded than those in Thessalonica, for they received the word with great eagerness, examining the Scriptures daily to see whether these things were so. (Acts 17:11)

Honestly, I don’t trust any spiritual leader who doesn’t encourage me to search the Scriptures to see whether their words are true. Any leader who puts their own word above the Scriptures is a false teacher. Sadly there are many, maybe more than faithful teachers. Some false teachers are intentionally so, but many have been misled by other false teachers. Their guilt is less, but they don’t do any less harm than those who intentionally mislead.

We need to seek trustworthy teachers who speak according to the Word of God, who quote the Bible to support their opinions, and who seek the good of their followers rather than the submission of their followers.

Do not harden your hearts, as at Meribah,\ As in the day of Massah in the wilderness,

“When your fathers tested Me,\ They tried Me, though they had seen My work.\ For forty years I loathed that generation,\ And said they are a people who err in their heart,\ And they do not know My ways.\ Therefore I swore in My anger,\ Truly they shall not enter into My rest.” (Psalm 95:8-11) {emphasis mine} *Teach me good discernment and knowledge,\ For I believe in Your commandments*.\ Before I was afflicted I went astray,\ But now I keep Your word.\ You are good and do good;\ Teach me Your statutes.\ The arrogant have forged a lie against me;\ *With all my heart I will observe Your precepts*.\ Their heart is covered with fat,\ But I delight in Your law.\ It is good for me that I was afflicted,\ That I may learn Your statutes.\ The law of Your mouth is better to me\ Than thousands of gold and silver pieces. (Psalm 119:66-72) {emphasis mine}

May our Creator God teach us the truth. May He fill our hearts with the desire to be in His word daily and to seek His will. May He do what is necessary to get our attention and turn our hearts and minds fully to Him, so we can learn His statutes and serve Him faithfully, so one day we are blessed to hear, “Well done! Good and faithful servant.”

Trust Jesus.

FYI, I see lack of knowledge of truth and God’s word as one of the biggest problems in the church today; however, it is possible to know the Bible in depth, but not know God. As important as knowledge of Scriptures is, this knowledge (without faith, submission, obedience, and love) is meaningless. Knowledge doesn’t get us to heaven. Even obedience doesn’t get us to heaven. Only faith and submission to our creator God leads to salvation and heaven. That being said, we can’t faithfully serve our God without knowledge of Him and His commands. Out of gratefulness for who He is and what He has done for us, we should seek to know and please Him.

@ 6c05c73e:c4356f17

Investir não é coisa de rico, é coisa de gente esperta! 🚀

Mano, saca só: a real é que investir não é sobre ser rico ou ter uma grana absurda guardada. É sobre entender que o seu dinheiro pode trabalhar pra você enquanto você vive a sua vida.

A real da real: A maioria da galera só pensa em guardar o que sobra no fim do mês, né? Mas a parada é outra: o certo é separar uma parte pra investir assim que o dinheiro entra. Mesmo que seja pouquinho, tipo 50 conto por mês, o hábito é o que vai construir resultado.

E relaxa! Não precisa ser nada complicado nem arriscado. Tem investimento pra todo tipo de pessoa, desde os mais conservadores até os mais arrojados.

Por que começar agora?

O importante é dar o primeiro passo, começar o quanto antes. Quanto mais cedo você começar, mais o tempo vai jogar a seu favor. E o tempo, no fim das contas, é o que faz a mágica acontecer com os juros compostos. Paciência é a chave!

Mudando a mentalidade

Primeiro de tudo, vamos mudar a mentalidade! Esquece essa ideia de que investir é só pra quem entende tudo de economia ou pra quem já tem muita grana. É só uma forma de fazer o seu dinheiro trabalhar por você.

Como começar?

1. Separe uma grana assim que receber: Ao invés de guardar o que sobra, já separa um valor assim que o dinheiro entra na conta. Pode ser pouco, tipo 50 reais, mas o importante é criar o hábito.
2. Tenha objetivos claros: Quer criar uma reserva de emergência? Fazer aquela viagem dos sonhos? Pensar na aposentadoria? Ter objetivos claros vai te dar motivação pra investir.
3. Escolha o tipo de investimento certo pra você: Tem investimento seguro pra quem tem medo e opção mais arriscada pra quem curte adrenalina. Pesquisa e vê qual se encaixa no seu perfil.

Cuidado com as furadas! 🚨

• Fuja de pirâmides: Promessas de dinheiro fácil? Desconfia!
• Não siga dica de qualquer blogueiro: Faça sua pesquisa e entenda onde você está colocando seu dinheiro.
• Tirar a grana da poupança: Deixar tudo parado na poupança achando que tá bem é deixar dinheiro na mesa.

A real sobre investir:

• Constância é mais importante que valor: É melhor investir um pouco todo mês do que muito de vez em quando.
• Investir é sobre disciplina, não sobre grana: Organização e planejamento são mais importantes do que ter muito dinheiro.

Então é isso, mano! Sem termos complicados, na moralzinha, pra galera sair daqui querendo pelo menos começar a investir. Lembre-se: seu único adversário é você mesmo. Bora fazer o dinheiro trabalhar pra gente! 😎

@ 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.

@ 8bad92c3:ca714aa5

Key Takeaways

In this episode of the TFTC podcast, Dom Bei—a firefighter, union leader, and CalPERS Board of Trustees candidate—makes a powerful case for why the largest pension fund in the U.S. must seriously consider Bitcoin as both an investment opportunity and an educational tool. Highlighting CalPERS’ missed decade in private equity and its troubling 75% funded status, Bei critiques the system’s misaligned incentives and high leadership turnover. He argues that Bitcoin offers more than just potential gains—it forces participants to confront foundational issues like inflation, wealth extraction, and financial literacy. Through his nonprofit Proof of Workforce, Bei has already helped unions adopt Bitcoin in self-custody and believes that small, incremental steps can drive reform. His campaign is about re-engaging the 2 million CalPERS members, challenging political inertia, and avoiding another decade of lost opportunity.

Best Quotes

"Bitcoin’s brand is resilience, and that cannot be undone."

"I don’t need to convince pensions to buy Bitcoin. I just need them to look into it."

"The first pension was funded with confiscated warships. The original incentive structure was theft."

"CalPERS is the second-largest purchaser of medical insurance in the U.S., behind the federal government."

"Only 10% of CalPERS members voted in the last board election. That’s insane."

"Bitcoin’s simplest features remain its most impressive: you hold something that’s yours, and no one can take it."

"We don’t need pensions to go all in. Just get off zero."

"Mainstream media has run an 80% negative campaign on Bitcoin for a decade. That’s not a conspiracy—it’s just math."

Conclusion

Dom Bei’s conversation with Marty Bent frames Bitcoin not as a cure-all, but as a critical tool worth exploring—one that promotes financial literacy, institutional accountability, and personal sovereignty. His call for education, transparency, and incremental reform challenges broken pension governance and urges workers to reclaim control over both their retirements and their understanding of money. In a landscape of growing liabilities and political interference, Bei’s campaign sparks a vital conversation at the intersection of sound money and public service—one that aligns closely with Bitcoin’s foundational ethos.

Timestamps

0:00 - Intro
0:32 - Opportunity Cost app
3:34 - Dom's background
10:36 - Fold & Bitkey
12:13 - How pensions got to this point
19:29 - Impact of failure
28:10 - Unchained
28:38 - CalPERS politicized
33:49 - How pensions should approach bitcoin
42:49 - How to educate
49:37 - Energy/mining
55:55 - Running for the board
1:08:52 - Roswell NM
1:12:33 - C2A

Transcript

(00:00) pension funds are chasing liabilities and having to basically be these vehicles that play in the big kids sandbox. It's cutthroat and there's no mercy there. I can't imagine a world where the pension goes bust, that's going to send shock waves through so many different sectors of the economy. I mean, you're talking global impact.
(00:17) If you have a CIO that's incentivized for the fund to do well, they're going to find Bitcoin. The numbers don't lie. Bitcoin's brand is resilience, and that cannot be undone. What's up, freaks? Sitting down with Dom Bay, running for the board of trustees of Kalpers. Dom, welcome to the show. Thanks, Marty.
(00:44) And uh uh what else? What is up, freaks? How's everyone doing today? I hope everybody's doing well. Vibes are high here. Uh been vibe coding. The vibes are high because the vibe coding has been up. I vibe coded something last night. Feeling pretty excited. Nice. What were you working on? Is it a top secret or uh No, I think by the time this episode airs, I'll have released it, but it's a simple, very simple product.
(01:07) Uh, a browser extension that allows you to put the price of goods that you may or may not be buying in SATS alongside dollars so that you recognize the opportunity cost of purchasing things. Uh, I like that. That's that's you know I was working once with a hotel that was looking at doing Bitcoin like you know different Bitcoin stuff whether it's like putting on the treasury and one of the things I told him I was like you guys should just do a coffee shop where you just have dollar price and sats price just next to each
(01:38) other. It' be a cool thing you know something that we don't see a lot as Bitcoiners but just to you know we all do it. you get that familiarity where you go like, well, what would this be in SATS? And it's easy to look up big things but not little things. Um, so that's really cool, man. That's a that's a that'll be that'll be good. Yeah.
(01:56) The whole idea is to just have the concept of opportunity costs while you're spending front of mind, while you're shopping on the internet, which I think actually ties in perfectly with what we're here to talk about today with you specifically, is the opportunity costs that exist within pensions um that are deploying capital in ways that they have for many decades and many are missing.
(02:23) uh the Bitcoin boat. Many who haven't spoken to you are missing the Bitcoin boat and you are taking it upon yourself to try to tackle one of the biggest behemoths in the world of pensions and Kalpers to really drive home this opportunity cost at at the pension level. Yeah, for sure. you know, the outgoing chief investment officer of Kalpers, uh, Nicole Muso, uh, described the 10-year era of private equity that KPERS missed as the lost decade.
(02:56) Uh, it was the pinnacle of private equity, and Kalpers really felt like they didn't have enough capital uh, deployed. And you know, in past conversations, I've I've talked about, you know, knowing what we know about Bitcoin and where it's at and where it's going. Are you going to have similar commentary from pensions around the country in 2035 saying, "Hey, we're going to get into Bitcoin now.
(03:21) We we had a lost decade where it was just staring us right in the face and oh, we didn't really need to do much but learn about it and uh we missed the boat. So now, you know, let's let's learn about it. It'll be time will tell. Yeah. Let's jump into how you got to the point where you decided to run for the board of trustees at Kalpers.
(03:46) Let's get into your history uh as a firefighter working with the union and then your advocacy in recent years going out to public pensions, particularly those of emergency responders to to get Bitcoin within their their pension systems. and yeah, why you think Kalpers is the next big step for you? For sure. So, um I got hired as a firefighter uh just around I'm coming up on my 16-year anniversary.
(04:11) Uh I got hired as a firefighter in Santa Monica and early in my career as a firefighter. Uh someone reached out and said, "Hey, you know, you're you're you're kind of a goofball. You like talking to people and and um there's this person on the board who does a lot of our political stuff. he's leaving. You should get with him and kind of learn about what he does and go find out. And so, uh, I went with him.
(04:36) First thing he did was bring me to this breakfast with a city council member and we were talking history in the city and and I just like, you know, I love that kind of stuff and learning about, you know, the backstories behind whatever's going on and all the moving pieces. And so, uh, I ended up getting on our board, um, for the Santa Monica firefighters and pretty pretty young, doing a lot of the political stuff, ended up becoming the vice president and then became the president of the firefighters and what was over a 10-year period of serving as
(05:07) an elected board member for the firefighters. Um, you know, kind of parallel to that and unrelated, I found Bitcoin in 2017 uh randomly working at a conference, which um I forget which conference it was, but I kind of looked back and I think it might have been consensus. I'm not sure. Um, but this was 2017 and I remember my one takeaway from this conference which may or may not have been consensus and it was this.
(05:39) The people I spoke to there were equally or greater as uh convicted as any group or constituency I'd ever met in my entire life. That's including firefighters. Um you know like like any group the conviction was was was unmissable. Uh and you could tell the people I talked to there they would not be uh convinced otherwise.
(06:08) And uh at that time, you know, there wasn't as much of a division between the different coins, you know, like like there was Ethereum people there and there was Bitcoiners there, but there was a definite like someone got a hold of me and was like, "Hey, uh Bitcoin is something that like forget all this other stuff.
(06:25) You need to just learn this." And and I remember taking that away and kind of got passively involved. Wasn't super active in the space. um just kind of like you know learned about it and grabbed a little bit and and you know just kind of did that thing. the board took up a lot of my time. And so, um, another thing that happened while I was on the board was I was appointed to a pension advisory committee for the city of Santa Monica where we had a full presentation from the board uh, and um, they came and presented to us and and different um,
(06:58) not the board, it was like different team members. And so I learned a ton about the pension and and I've always been a I was a history major in college, so I love learning about history. and I started really getting into the history of pensions which is fascinating. We'll save that for another episode for the sake of your viewers.
(07:18) Um but but um started doing that and when I got off the board um you know in addition to this

@ 09fbf8f3:fa3d60f0

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@ efcb5fc5:5680aa8e

We're living in a digital dystopia. A world where our attention is currency, our data is mined, and our mental well-being is collateral damage in the relentless pursuit of engagement. The glossy facades of traditional social media platforms hide a dark underbelly of algorithmic manipulation, curated realities, and a pervasive sense of anxiety that seeps into every aspect of our lives. We're trapped in a digital echo chamber, drowning in a sea of manufactured outrage and meaningless noise, and it's time to build an ark and sail away.

I've witnessed the evolution, or rather, the devolution, of online interaction. From the raw, unfiltered chaos of early internet chat rooms to the sterile, algorithmically controlled environments of today's social giants, I've seen the promise of connection twisted into a tool for manipulation and control. We've become lab rats in a grand experiment, our emotional responses measured and monetized, our opinions shaped and sold to the highest bidder. But there's a flicker of hope in the darkness, a chance to reclaim our digital autonomy, and that hope is NOSTR (Notes and Other Stuff Transmitted by Relays).

The Psychological Warfare of Traditional Social Media

The Algorithmic Cage: These algorithms aren't designed to enhance your life; they're designed to keep you scrolling. They feed on your vulnerabilities, exploiting your fears and desires to maximize engagement, even if it means promoting misinformation, outrage, and division.

The Illusion of Perfection: The curated realities presented on these platforms create a toxic culture of comparison. We're bombarded with images of flawless bodies, extravagant lifestyles, and seemingly perfect lives, leading to feelings of inadequacy and self-doubt.

The Echo Chamber Effect: Algorithms reinforce our existing beliefs, isolating us from diverse perspectives and creating a breeding ground for extremism. We become trapped in echo chambers where our biases are constantly validated, leading to increased polarization and intolerance.

The Toxicity Vortex: The lack of effective moderation creates a breeding ground for hate speech, cyberbullying, and online harassment. We're constantly exposed to toxic content that erodes our mental well-being and fosters a sense of fear and distrust.

This isn't just a matter of inconvenience; it's a matter of mental survival. We're being subjected to a form of psychological warfare, and it's time to fight back.

NOSTR: A Sanctuary in the Digital Wasteland

NOSTR offers a radical alternative to this toxic environment. It's not just another platform; it's a decentralized protocol that empowers users to reclaim their digital sovereignty.

User-Controlled Feeds: You decide what you see, not an algorithm. You curate your own experience, focusing on the content and people that matter to you.

Ownership of Your Digital Identity: Your data and content are yours, secured by cryptography. No more worrying about being deplatformed or having your information sold to the highest bidder.

Interoperability: Your identity works across a diverse ecosystem of apps, giving you the freedom to choose the interface that suits your needs.

Value-Driven Interactions: The "zaps" feature enables direct micropayments, rewarding creators for valuable content and fostering a culture of genuine appreciation.

Decentralized Power: No single entity controls NOSTR, making it censorship-resistant and immune to the whims of corporate overlords.

Building a Healthier Digital Future

NOSTR isn't just about escaping the toxicity of traditional social media; it's about building a healthier, more meaningful online experience.

Cultivating Authentic Connections: Focus on building genuine relationships with people who share your values and interests, rather than chasing likes and followers.

Supporting Independent Creators: Use "zaps" to directly support the artists, writers, and thinkers who inspire you.

Embracing Intellectual Diversity: Explore different NOSTR apps and communities to broaden your horizons and challenge your assumptions.

Prioritizing Your Mental Health: Take control of your digital environment and create a space that supports your well-being.

Removing the noise: Value based interactions promote value based content, instead of the constant stream of noise that traditional social media promotes.

The Time for Action is Now

NOSTR is a nascent technology, but it represents a fundamental shift in how we interact online. It's a chance to build a more open, decentralized, and user-centric internet, one that prioritizes our mental health and our humanity.

We can no longer afford to be passive consumers in the digital age. We must become active participants in shaping our online experiences. It's time to break free from the chains of algorithmic control and reclaim our digital autonomy.

Join the NOSTR movement

Embrace the power of decentralization. Let's build a digital future that's worthy of our humanity. Let us build a place where the middlemen, and the algorithms that they control, have no power over us.

In addition to the points above, here are some examples/links of how NOSTR can be used:

Simple Signup: Creating a NOSTR account is incredibly easy. You can use platforms like Yakihonne or Primal to generate your keys and start exploring the ecosystem.

X-like Client: Apps like Damus offer a familiar X-like experience, making it easy for users to transition from traditional platforms.

Sharing Photos and Videos: Clients like Olas are optimized for visual content, allowing you to share your photos and videos with your followers.

Creating and Consuming Blogs: NOSTR can be used to publish and share blog posts, fostering a community of independent creators.

Live Streaming and Audio Spaces: Explore platforms like Hivetalk and zap.stream for live streaming and audio-based interactions.

NOSTR is a powerful tool for reclaiming your digital life and building a more meaningful online experience. It's time to take control, break free from the shackles of traditional social media, and embrace the future of decentralized communication.

Get the full overview of these and other on: https://nostrapps.com/

@ 266815e0:6cd408a5

Its been a little over a year since NIP-90 was written and merged into the nips repo and its been a communication mess.

Every DVM implementation expects the inputs in slightly different formats, returns the results in mostly the same format and there are very few DVM actually running.

NIP-90 is overloaded

Why does a request for text translation and creating bitcoin OP_RETURNs share the same input i tag? and why is there an output tag on requests when only one of them will return an output?

Each DVM request kind is for requesting completely different types of compute with diffrent input and output requirements, but they are all using the same spec that has 4 different types of inputs (text, url, event, job) and an undefined number of output types.

Let me show a few random DVM requests and responses I found on wss://relay.damus.io to demonstrate what I mean:

This is a request to translate an event to English json { "kind": 5002, "content": "", "tags": [ // NIP-90 says there can be multiple inputs, so how would a DVM handle translatting multiple events at once? [ "i", "<event-id>", "event" ], [ "param", "language", "en" ], // What other type of output would text translations be? image/jpeg? [ "output", "text/plain" ], // Do we really need to define relays? cant the DVM respond on the relays it saw the request on? [ "relays", "wss://relay.unknown.cloud/", "wss://nos.lol/" ] ] }

This is a request to generate text using an LLM model json { "kind": 5050, // Why is the content empty? wouldn't it be better to have the prompt in the content? "content": "", "tags": [ // Why use an indexable tag? are we ever going to lookup prompts? // Also the type "prompt" isn't in NIP-90, this should probably be "text" [ "i", "What is the capital of France?", "prompt" ], [ "p", "c4878054cff877f694f5abecf18c7450f4b6fdf59e3e9cb3e6505a93c4577db2" ], [ "relays", "wss://relay.primal.net" ] ] }

This is a request for content recommendation json { "kind": 5300, "content": "", "tags": [ // Its fine ignoring this param, but what if the client actually needs exactly 200 "results" [ "param", "max_results", "200" ], // The spec never mentions requesting content for other users. // If a DVM didn't understand this and responded to this request it would provide bad data [ "param", "user", "b22b06b051fd5232966a9344a634d956c3dc33a7f5ecdcad9ed11ddc4120a7f2" ], [ "relays", "wss://relay.primal.net", ], [ "p", "ceb7e7d688e8a704794d5662acb6f18c2455df7481833dd6c384b65252455a95" ] ] }

This is a request to create a OP_RETURN message on bitcoin json { "kind": 5901, // Again why is the content empty when we are sending human readable text? "content": "", "tags": [ // and again, using an indexable tag on an input that will never need to be looked up ["i", "09/01/24 SEC Chairman on the brink of second ETF approval", "text"] ] }

My point isn't that these event schema's aren't understandable but why are they using the same schema? each use-case is different but are they all required to use the same i tag format as input and could support all 4 types of inputs.

Lack of libraries

With all these different types of inputs, params, and outputs its verify difficult if not impossible to build libraries for DVMs

If a simple text translation request can have an event or text as inputs, a payment-required status at any point in the flow, partial results, or responses from 10+ DVMs whats the best way to build a translation library for other nostr clients to use?

And how do I build a DVM framework for the server side that can handle multiple inputs of all four types (url, text, event, job) and clients are sending all the requests in slightly differently.

Supporting payments is impossible

The way NIP-90 is written there isn't much details about payments. only a payment-required status and a generic amount tag

But the way things are now every DVM is implementing payments differently. some send a bolt11 invoice, some expect the client to NIP-57 zap the request event (or maybe the status event), and some even ask for a subscription. and we haven't even started implementing NIP-61 nut zaps or cashu A few are even formatting the amount number wrong or denominating it in sats and not mili-sats

Building a client or a library that can understand and handle all of these payment methods is very difficult. for the DVM server side its worse. A DVM server presumably needs to support all 4+ types of payments if they want to get the most sats for their services and support the most clients.

All of this is made even more complicated by the fact that a DVM can ask for payment at any point during the job process. this makes sense for some types of compute, but for others like translations or user recommendation / search it just makes things even more complicated.

For example, If a client wanted to implement a timeline page that showed the notes of all the pubkeys on a recommended list. what would they do when the selected DVM asks for payment at the start of the job? or at the end? or worse, only provides half the pubkeys and asks for payment for the other half. building a UI that could handle even just two of these possibilities is complicated.

NIP-89 is being abused

NIP-89 is "Recommended Application Handlers" and the way its describe in the nips repo is

a way to discover applications that can handle unknown event-kinds

Not "a way to discover everything"

If I wanted to build an application discovery app to show all the apps that your contacts use and let you discover new apps then it would have to filter out ALL the DVM advertisement events. and that's not just for making requests from relays

If the app shows the user their list of "recommended applications" then it either has to understand that everything in the 5xxx kind range is a DVM and to show that is its own category or show a bunch of unknown "favorites" in the list which might be confusing for the user.

In conclusion

My point in writing this article isn't that the DVMs implementations so far don't work, but that they will never work well because the spec is too broad. even with only a few DVMs running we have already lost interoperability.

I don't want to be completely negative though because some things have worked. the "DVM feeds" work, although they are limited to a single page of results. text / event translations also work well and kind 5970 Event PoW delegation could be cool. but if we want interoperability, we are going to need to change a few things with NIP-90

I don't think we can (or should) abandon NIP-90 entirely but it would be good to break it up into small NIPs or specs. break each "kind" of DVM request out into its own spec with its own definitions for expected inputs, outputs and flow.

Then if we have simple, clean definitions for each kind of compute we want to distribute. we might actually see markets and services being built and used.

@ 6389be64:ef439d32

Bitcoin is more than money, more than an asset, and more than a store of value. Bitcoin is a Prime Mover, an enabler and it ignites imaginations. It certainly fueled an idea in my mind. The idea integrates sensors, computational prowess, actuated machinery, power conversion, and electronic communications to form an autonomous, machined creature roaming forests and harvesting the most widespread and least energy-dense fuel source available. I call it the Forest Walker and it eats wood, and mines Bitcoin.

I know what you're thinking. Why not just put Bitcoin mining rigs where they belong: in a hosted facility sporting electricity from energy-dense fuels like natural gas, climate-controlled with excellent data piping in and out? Why go to all the trouble building a robot that digests wood creating flammable gasses fueling an engine to run a generator powering Bitcoin miners? It's all about synergy.

Bitcoin mining enables the realization of multiple, seemingly unrelated, yet useful activities. Activities considered un-profitable if not for Bitcoin as the Prime Mover. This is much more than simply mining the greatest asset ever conceived by humankind. It’s about the power of synergy, which Bitcoin plays only one of many roles. The synergy created by this system can stabilize forests' fire ecology while generating multiple income streams. That’s the realistic goal here and requires a brief history of American Forest management before continuing.

Smokey The Bear

In 1944, the Smokey Bear Wildfire Prevention Campaign began in the United States. “Only YOU can prevent forest fires” remains the refrain of the Ad Council’s longest running campaign. The Ad Council is a U.S. non-profit set up by the American Association of Advertising Agencies and the Association of National Advertisers in 1942. It would seem that the U.S. Department of the Interior was concerned about pesky forest fires and wanted them to stop. So, alongside a national policy of extreme fire suppression they enlisted the entire U.S. population to get onboard via the Ad Council and it worked. Forest fires were almost obliterated and everyone was happy, right? Wrong.

Smokey is a fantastically successful bear so forest fires became so few for so long that the fuel load - dead wood - in forests has become very heavy. So heavy that when a fire happens (and they always happen) it destroys everything in its path because the more fuel there is the hotter that fire becomes. Trees, bushes, shrubs, and all other plant life cannot escape destruction (not to mention homes and businesses). The soil microbiology doesn’t escape either as it is burned away even in deeper soils. To add insult to injury, hydrophobic waxy residues condense on the soil surface, forcing water to travel over the ground rather than through it eroding forest soils. Good job, Smokey. Well done, Sir!

Most terrestrial ecologies are “fire ecologies”. Fire is a part of these systems’ fuel load and pest management. Before we pretended to “manage” millions of acres of forest, fires raged over the world, rarely damaging forests. The fuel load was always too light to generate fires hot enough to moonscape mountainsides. Fires simply burned off the minor amounts of fuel accumulated since the fire before. The lighter heat, smoke, and other combustion gasses suppressed pests, keeping them in check and the smoke condensed into a plant growth accelerant called wood vinegar, not a waxy cap on the soil. These fires also cleared out weak undergrowth, cycled minerals, and thinned the forest canopy, allowing sunlight to penetrate to the forest floor. Without a fire’s heat, many pine tree species can’t sow their seed. The heat is required to open the cones (the seed bearing structure) of Spruce, Cypress, Sequoia, Jack Pine, Lodgepole Pine and many more. Without fire forests can’t have babies. The idea was to protect the forests, and it isn't working.

So, in a world of fire, what does an ally look like and what does it do?

Meet The Forest Walker

For the Forest Walker to work as a mobile, autonomous unit, a solid platform that can carry several hundred pounds is required. It so happens this chassis already exists but shelved.

Introducing the Legged Squad Support System (LS3). A joint project between Boston Dynamics, DARPA, and the United States Marine Corps, the quadrupedal robot is the size of a cow, can carry 400 pounds (180 kg) of equipment, negotiate challenging terrain, and operate for 24 hours before needing to refuel. Yes, it had an engine. Abandoned in 2015, the thing was too noisy for military deployment and maintenance "under fire" is never a high-quality idea. However, we can rebuild it to act as a platform for the Forest Walker; albeit with serious alterations. It would need to be bigger, probably. Carry more weight? Definitely. Maybe replace structural metal with carbon fiber and redesign much as 3D printable parts for more effective maintenance.

The original system has a top operational speed of 8 miles per hour. For our purposes, it only needs to move about as fast as a grazing ruminant. Without the hammering vibrations of galloping into battle, shocks of exploding mortars, and drunken soldiers playing "Wrangler of Steel Machines", time between failures should be much longer and the overall energy consumption much lower. The LS3 is a solid platform to build upon. Now it just needs to be pulled out of the mothballs, and completely refitted with outboard equipment.

The Small Branch Chipper

When I say “Forest fuel load” I mean the dead, carbon containing litter on the forest floor. Duff (leaves), fine-woody debris (small branches), and coarse woody debris (logs) are the fuel that feeds forest fires. Walk through any forest in the United States today and you will see quite a lot of these materials. Too much, as I have described. Some of these fuel loads can be 8 tons per acre in pine and hardwood forests and up to 16 tons per acre at active logging sites. That’s some big wood and the more that collects, the more combustible danger to the forest it represents. It also provides a technically unlimited fuel supply for the Forest Walker system.

The problem is that this detritus has to be chewed into pieces that are easily ingestible by the system for the gasification process (we’ll get to that step in a minute). What we need is a wood chipper attached to the chassis (the LS3); its “mouth”.

A small wood chipper handling material up to 2.5 - 3.0 inches (6.3 - 7.6 cm) in diameter would eliminate a substantial amount of fuel. There is no reason for Forest Walker to remove fallen trees. It wouldn’t have to in order to make a real difference. It need only identify appropriately sized branches and grab them. Once loaded into the chipper’s intake hopper for further processing, the beast can immediately look for more “food”. This is essentially kindling that would help ignite larger logs. If it’s all consumed by Forest Walker, then it’s not present to promote an aggravated conflagration.

I have glossed over an obvious question: How does Forest Walker see and identify branches and such? LiDaR (Light Detection and Ranging) attached to Forest Walker images the local area and feed those data to onboard computers for processing. Maybe AI plays a role. Maybe simple machine learning can do the trick. One thing is for certain: being able to identify a stick and cause robotic appendages to pick it up is not impossible.

Great! We now have a quadrupedal robot autonomously identifying and “eating” dead branches and other light, combustible materials. Whilst strolling through the forest, depleting future fires of combustibles, Forest Walker has already performed a major function of this system: making the forest safer. It's time to convert this low-density fuel into a high-density fuel Forest Walker can leverage. Enter the gasification process.

The Gassifier

The gasifier is the heart of the entire system; it’s where low-density fuel becomes the high-density fuel that powers the entire system. Biochar and wood vinegar are process wastes and I’ll discuss why both are powerful soil amendments in a moment, but first, what’s gasification?

Reacting shredded carbonaceous material at high temperatures in a low or no oxygen environment converts the biomass into biochar, wood vinegar, heat, and Synthesis Gas (Syngas). Syngas consists primarily of hydrogen, carbon monoxide, and methane. All of which are extremely useful fuels in a gaseous state. Part of this gas is used to heat the input biomass and keep the reaction temperature constant while the internal combustion engine that drives the generator to produce electrical power consumes the rest.

Critically, this gasification process is “continuous feed”. Forest Walker must intake biomass from the chipper, process it to fuel, and dump the waste (CO2, heat, biochar, and wood vinegar) continuously. It cannot stop. Everything about this system depends upon this continual grazing, digestion, and excretion of wastes just as a ruminal does. And, like a ruminant, all waste products enhance the local environment.

When I first heard of gasification, I didn’t believe that it was real. Running an electric generator from burning wood seemed more akin to “conspiracy fantasy” than science. Not only is gasification real, it’s ancient technology. A man named Dean Clayton first started experiments on gasification in 1699 and in 1901 gasification was used to power a vehicle. By the end of World War II, there were 500,000 Syngas powered vehicles in Germany alone because of fossil fuel rationing during the war. The global gasification market was $480 billion in 2022 and projected to be as much as $700 billion by 2030 (Vantage Market Research). Gasification technology is the best choice to power the Forest Walker because it’s self-contained and we want its waste products.

Biochar: The Waste

Biochar (AKA agricultural charcoal) is fairly simple: it’s almost pure, solid carbon that resembles charcoal. Its porous nature packs large surface areas into small, 3 dimensional nuggets. Devoid of most other chemistry, like hydrocarbons (methane) and ash (minerals), biochar is extremely lightweight. Do not confuse it with the charcoal you buy for your grill. Biochar doesn’t make good grilling charcoal because it would burn too rapidly as it does not contain the multitude of flammable components that charcoal does. Biochar has several other good use cases. Water filtration, water retention, nutrient retention, providing habitat for microscopic soil organisms, and carbon sequestration are the main ones that we are concerned with here.

Carbon has an amazing ability to adsorb (substances stick to and accumulate on the surface of an object) manifold chemistries. Water, nutrients, and pollutants tightly bind to carbon in this format. So, biochar makes a respectable filter and acts as a “battery” of water and nutrients in soils. Biochar adsorbs and holds on to seven times its weight in water. Soil containing biochar is more drought resilient than soil without it. Adsorbed nutrients, tightly sequestered alongside water, get released only as plants need them. Plants must excrete protons (H+) from their roots to disgorge water or positively charged nutrients from the biochar's surface; it's an active process.

Biochar’s surface area (where adsorption happens) can be 500 square meters per gram or more. That is 10% larger than an official NBA basketball court for every gram of biochar. Biochar’s abundant surface area builds protective habitats for soil microbes like fungi and bacteria and many are critical for the health and productivity of the soil itself.

The “carbon sequestration” component of biochar comes into play where “carbon credits” are concerned. There is a financial market for carbon. Not leveraging that market for revenue is foolish. I am climate agnostic. All I care about is that once solid carbon is inside the soil, it will stay there for thousands of years, imparting drought resiliency, fertility collection, nutrient buffering, and release for that time span. I simply want as much solid carbon in the soil because of the undeniably positive effects it has, regardless of any climactic considerations.

Wood Vinegar: More Waste

Another by-product of the gasification process is wood vinegar (Pyroligneous acid). If you have ever seen Liquid Smoke in the grocery store, then you have seen wood vinegar. Principally composed of acetic acid, acetone, and methanol wood vinegar also contains ~200 other organic compounds. It would seem intuitive that condensed, liquefied wood smoke would at least be bad for the health of all living things if not downright carcinogenic. The counter intuition wins the day, however. Wood vinegar has been used by humans for a very long time to promote digestion, bowel, and liver health; combat diarrhea and vomiting; calm peptic ulcers and regulate cholesterol levels; and a host of other benefits.

For centuries humans have annually burned off hundreds of thousands of square miles of pasture, grassland, forest, and every other conceivable terrestrial ecosystem. Why is this done? After every burn, one thing becomes obvious: the almost supernatural growth these ecosystems exhibit after the burn. How? Wood vinegar is a component of this growth. Even in open burns, smoke condenses and infiltrates the soil. That is when wood vinegar shows its quality.

This stuff beefs up not only general plant growth but seed germination as well and possesses many other qualities that are beneficial to plants. It’s a pesticide, fungicide, promotes beneficial soil microorganisms, enhances nutrient uptake, and imparts disease resistance. I am barely touching a long list of attributes here, but you want wood vinegar in your soil (alongside biochar because it adsorbs wood vinegar as well).

The Internal Combustion Engine

Conversion of grazed forage to chemical, then mechanical, and then electrical energy completes the cycle. The ICE (Internal Combustion Engine) converts the gaseous fuel output from the gasifier to mechanical energy, heat, water vapor, and CO2. It’s the mechanical energy of a rotating drive shaft that we want. That rotation drives the electric generator, which is the heartbeat we need to bring this monster to life. Luckily for us, combined internal combustion engine and generator packages are ubiquitous, delivering a defined energy output given a constant fuel input. It’s the simplest part of the system.

The obvious question here is whether the amount of syngas provided by the gasification process will provide enough energy to generate enough electrons to run the entire system or not. While I have no doubt the energy produced will run Forest Walker's main systems the question is really about the electrons left over. Will it be enough to run the Bitcoin mining aspect of the system? Everything is a budget.

CO2 Production For Growth

Plants are lollipops. No matter if it’s a tree or a bush or a shrubbery, the entire thing is mostly sugar in various formats but mostly long chain carbohydrates like lignin and cellulose. Plants need three things to make sugar: CO2, H2O and light. In a forest, where tree densities can be quite high, CO2 availability becomes a limiting growth factor. It’d be in the forest interests to have more available CO2 providing for various sugar formation providing the organism with food and structure.

An odd thing about tree leaves, the openings that allow gasses like the ever searched for CO2 are on the bottom of the leaf (these are called stomata). Not many stomata are topside. This suggests that trees and bushes have evolved to find gasses like CO2 from below, not above and this further suggests CO2 might be in higher concentrations nearer the soil.

The soil life (bacterial, fungi etc.) is constantly producing enormous amounts of CO2 and it would stay in the soil forever (eventually killing the very soil life that produces it) if not for tidal forces. Water is everywhere and whether in pools, lakes, oceans or distributed in “moist” soils water moves towards to the moon. The water in the soil and also in the water tables below the soil rise toward the surface every day. When the water rises, it expels the accumulated gasses in the soil into the atmosphere and it’s mostly CO2. It’s a good bet on how leaves developed high populations of stomata on the underside of leaves. As the water relaxes (the tide goes out) it sucks oxygenated air back into the soil to continue the functions of soil life respiration. The soil “breathes” albeit slowly.

The gasses produced by the Forest Walker’s internal combustion engine consist primarily of CO2 and H2O. Combusting sugars produce the same gasses that are needed to construct the sugars because the universe is funny like that. The Forest Walker is constantly laying down these critical construction elements right where the trees need them: close to the ground to be gobbled up by the trees.

The Branch Drones

During the last ice age, giant mammals populated North America - forests and otherwise. Mastodons, woolly mammoths, rhinos, short-faced bears, steppe bison, caribou, musk ox, giant beavers, camels, gigantic ground-dwelling sloths, glyptodons, and dire wolves were everywhere. Many were ten to fifteen feet tall. As they crashed through forests, they would effectively cleave off dead side-branches of trees, halting the spread of a ground-based fire migrating into the tree crown ("laddering") which is a death knell for a forest.

These animals are all extinct now and forests no longer have any manner of pruning services. But, if we build drones fitted with cutting implements like saws and loppers, optical cameras and AI trained to discern dead branches from living ones, these drones could effectively take over pruning services by identifying, cutting, and dropping to the forest floor, dead branches. The dropped branches simply get collected by the Forest Walker as part of its continual mission.

The drones dock on the back of the Forest Walker to recharge their batteries when low. The whole scene would look like a grazing cow with some flies bothering it. This activity breaks the link between a relatively cool ground based fire and the tree crowns and is a vital element in forest fire control.

The Bitcoin Miner

Mining is one of four monetary incentive models, making this system a possibility for development. The other three are US Dept. of the Interior, township, county, and electrical utility company easement contracts for fuel load management, global carbon credits trading, and data set sales. All the above depends on obvious questions getting answered. I will list some obvious ones, but this is not an engineering document and is not the place for spreadsheets. How much Bitcoin one Forest Walker can mine depends on everything else. What amount of biomass can we process? Will that biomass flow enough Syngas to keep the lights on? Can the chassis support enough mining ASICs and supporting infrastructure? What does that weigh and will it affect field performance? How much power can the AC generator produce?

Other questions that are more philosophical persist. Even if a single Forest Walker can only mine scant amounts of BTC per day, that pales to how much fuel material it can process into biochar. We are talking about millions upon millions of forested acres in need of fuel load management. What can a single Forest Walker do? I am not thinking in singular terms. The Forest Walker must operate as a fleet. What could 50 do? 500?

What is it worth providing a service to the world by managing forest fuel loads? Providing proof of work to the global monetary system? Seeding soil with drought and nutrient resilience by the excretion, over time, of carbon by the ton? What did the last forest fire cost?

The Mesh Network

What could be better than one bitcoin mining, carbon sequestering, forest fire squelching, soil amending behemoth? Thousands of them, but then they would need to be able to talk to each other to coordinate position, data handling, etc. Fitted with a mesh networking device, like goTenna or Meshtastic LoRa equipment enables each Forest Walker to communicate with each other.

Now we have an interconnected fleet of Forest Walkers relaying data to each other and more importantly, aggregating all of that to the last link in the chain for uplink. Well, at least Bitcoin mining data. Since block data is lightweight, transmission of these data via mesh networking in fairly close quartered environs is more than doable. So, how does data transmit to the Bitcoin Network? How do the Forest Walkers get the previous block data necessary to execute on mining?

Back To The Chain

Getting Bitcoin block data to and from the network is the last puzzle piece. The standing presumption here is that wherever a Forest Walker fleet is operating, it is NOT within cell tower range. We further presume that the nearest Walmart Wi-Fi is hours away. Enter the Blockstream Satellite or something like it.

A separate, ground-based drone will have two jobs: To stay as close to the nearest Forest Walker as it can and to provide an antennae for either terrestrial or orbital data uplink. Bitcoin-centric data is transmitted to the "uplink drone" via the mesh networked transmitters and then sent on to the uplink and the whole flow goes in the opposite direction as well; many to one and one to many.

We cannot transmit data to the Blockstream satellite, and it will be up to Blockstream and companies like it to provide uplink capabilities in the future and I don't doubt they will. Starlink you say? What’s stopping that company from filtering out block data? Nothing because it’s Starlink’s system and they could decide to censor these data. It seems we may have a problem sending and receiving Bitcoin data in back country environs.

But, then again, the utility of this system in staunching the fuel load that creates forest fires is extremely useful around forested communities and many have fiber, Wi-Fi and cell towers. These communities could be a welcoming ground zero for first deployments of the Forest Walker system by the home and business owners seeking fire repression. In the best way, Bitcoin subsidizes the safety of the communities.

Sensor Packages

LiDaR

The benefit of having a Forest Walker fleet strolling through the forest is the never ending opportunity for data gathering. A plethora of deployable sensors gathering hyper-accurate data on everything from temperature to topography is yet another revenue generator. Data is valuable and the Forest Walker could generate data sales to various government entities and private concerns.

LiDaR (Light Detection and Ranging) can map topography, perform biomass assessment, comparative soil erosion analysis, etc. It so happens that the Forest Walker’s ability to “see,” to navigate about its surroundings, is LiDaR driven and since it’s already being used, we can get double duty by harvesting that data for later use. By using a laser to send out light pulses and measuring the time it takes for the reflection of those pulses to return, very detailed data sets incrementally build up. Eventually, as enough data about a certain area becomes available, the data becomes useful and valuable.

Forestry concerns, both private and public, often use LiDaR to build 3D models of tree stands to assess the amount of harvest-able lumber in entire sections of forest. Consulting companies offering these services charge anywhere from several hundred to several thousand dollars per square kilometer for such services. A Forest Walker generating such assessments on the fly while performing its other functions is a multi-disciplinary approach to revenue generation.

pH, Soil Moisture, and Cation Exchange Sensing

The Forest Walker is quadrupedal, so there are four contact points to the soil. Why not get a pH data point for every step it takes? We can also gather soil moisture data and cation exchange capacities at unheard of densities because of sampling occurring on the fly during commission of the system’s other duties. No one is going to build a machine to do pH testing of vast tracts of forest soils, but that doesn’t make the data collected from such an endeavor valueless. Since the Forest Walker serves many functions at once, a multitude of data products can add to the return on investment component.

Weather Data

Temperature, humidity, pressure, and even data like evapotranspiration gathered at high densities on broad acre scales have untold value and because the sensors are lightweight and don’t require large power budgets, they come along for the ride at little cost. But, just like the old mantra, “gas, grass, or ass, nobody rides for free”, these sensors provide potential revenue benefits just by them being present.

I’ve touched on just a few data genres here. In fact, the question for universities, governmental bodies, and other institutions becomes, “How much will you pay us to attach your sensor payload to the Forest Walker?”

Noise Suppression

Only you can prevent Metallica filling the surrounds with 120 dB of sound. Easy enough, just turn the car stereo off. But what of a fleet of 50 Forest Walkers operating in the backcountry or near a township? 500? 5000? Each one has a wood chipper, an internal combustion engine, hydraulic pumps, actuators, and more cooling fans than you can shake a stick at. It’s a walking, screaming fire-breathing dragon operating continuously, day and night, twenty-four hours a day, three hundred sixty-five days a year. The sound will negatively affect all living things and that impacts behaviors. Serious engineering consideration and prowess must deliver a silencing blow to the major issue of noise.

It would be foolish to think that a fleet of Forest Walkers could be silent, but if not a major design consideration, then the entire idea is dead on arrival. Townships would not allow them to operate even if they solved the problem of widespread fuel load and neither would governmental entities, and rightly so. Nothing, not man nor beast, would want to be subjected to an eternal, infernal scream even if it were to end within days as the fleet moved further away after consuming what it could. Noise and heat are the only real pollutants of this system; taking noise seriously from the beginning is paramount.

Fire Safety

A “fire-breathing dragon” is not the worst description of the Forest Walker. It eats wood, combusts it at very high temperatures and excretes carbon; and it does so in an extremely flammable environment. Bad mix for one Forest Walker, worse for many. One must take extreme pains to ensure that during normal operation, a Forest Walker could fall over, walk through tinder dry brush, or get pounded into the ground by a meteorite from Krypton and it wouldn’t destroy epic swaths of trees and baby deer. I envision an ultimate test of a prototype to include dowsing it in grain alcohol while it’s wrapped up in toilet paper like a pledge at a fraternity party. If it runs for 72 hours and doesn’t set everything on fire, then maybe outside entities won’t be fearful of something that walks around forests with a constant fire in its belly.

The Wrap

How we think about what can be done with and adjacent to Bitcoin is at least as important as Bitcoin’s economic standing itself. For those who will tell me that this entire idea is without merit, I say, “OK, fine. You can come up with something, too.” What can we plug Bitcoin into that, like a battery, makes something that does not work, work? That’s the lesson I get from this entire exercise. No one was ever going to hire teams of humans to go out and "clean the forest". There's no money in that. The data collection and sales from such an endeavor might provide revenues over the break-even point but investment demands Alpha in this day and age. But, plug Bitcoin into an almost viable system and, voilà! We tip the scales to achieve lift-off.

Let’s face it, we haven’t scratched the surface of Bitcoin’s forcing function on our minds. Not because it’s Bitcoin, but because of what that invention means. The question that pushes me to approach things this way is, “what can we create that one system’s waste is another system’s feedstock?” The Forest Walker system’s only real waste is the conversion of low entropy energy (wood and syngas) into high entropy energy (heat and noise). All other output is beneficial to humanity.

Bitcoin, I believe, is the first product of a new mode of human imagination. An imagination newly forged over the past few millennia of being lied to, stolen from, distracted and otherwise mis-allocated to a black hole of the nonsensical. We are waking up.

What I have presented is not science fiction. Everything I have described here is well within the realm of possibility. The question is one of viability, at least in terms of the detritus of the old world we find ourselves departing from. This system would take a non-trivial amount of time and resources to develop. I think the system would garner extensive long-term contracts from those who have the most to lose from wildfires, the most to gain from hyperaccurate data sets, and, of course, securing the most precious asset in the world. Many may not see it that way, for they seek Alpha and are therefore blind to other possibilities. Others will see only the possibilities; of thinking in a new way, of looking at things differently, and dreaming of what comes next.

@ e97aaffa:2ebd765d

1. Índole ou característica de quem é austero;
2. Rigor ou rigidez; designação de severidade;
3. Inexistência de adornos ou adereços;
4. (Economia) Moderação do que é gasto;
5. (Economia) Política do governo que tem como finalidade reduzir os gastos públicos.

(Etm. do latim: austeritāte)

Antes da crise da dívida soberana, raramente os portugueses ouviam, ou realmente sabiam o significado da palavra. Depois da crise, para os portugueses essa palavra representa muito mais que apenas 11 caracteres, é uma cicatriz para muitas gerações, foi traumatizante.

Na época, o limite da yield da dívida soberana a 10 anos era os 7%, assim que superou, o governo teve que pedir assistência financeira ao FMI. A partir desse momento, a palavra Austeridade nunca mais saiu do léxico dos português.

A crise não foi apenas em Portugal, afetou também Irlanda, Grécia e Espanha, ficaram conhecidos como PIGS.

Se essa crise da dívida soberana demonstrou a fragilidade da UE, estamos a falar de pequenas/médias economias, o que acontecerá se isto se repetir mas nas grandes economias?

Hoje em dia, a yield portuguesa (3.1%) é melhor que a maioria das grandes potências econômicas, a ironia do destino.

• Reino Unido: 4.7%
• EUA: 4.5%
• Austrália: 4.5%
• Itália: 3.6%
• França: 3.3%

@ ecda4328:1278f072

An honest response to objections — and an answer to the most important question: why does any of this matter?

Last updated: May 21, 2025\ \ 📄 Document version:\ EN: https://drive.proton.me/urls/A4A8Y8A0RR#Sj2OBsBYJFr1\ RU: https://drive.proton.me/urls/GS9AS1NB30#ZdKKb5ackB5e

---

\ Statement: Deflation is not the enemy, but a natural state in an age of technological progress.\ Criticism: in real macroeconomics, long-term deflation is linked to depressions.\ Deflation discourages borrowers and investors, and makes debt heavier.\ Natural ≠ Safe.

1. “Deflation → Depression, Debt → Heavier”

This is true in a debt-based system. Yes, in a fiat economy, debt balloons to the sky, and without inflation it collapses.

But Bitcoin offers not “deflation for its own sake,” but an environment where you don’t need to be in debt to survive. Where savings don’t melt away.\ Jeff Booth said it clearly:

“Technology is inherently deflationary. Fighting deflation with the printing press is fighting progress.”

You don’t have to take on credit to live in this system. Which means — deflation is not an enemy, but an ally.

💡 People often confuse two concepts:

1. That deflation doesn’t work in an economy built on credit and leverage — that’s true.

2. That deflation itself is bad — that’s a myth.

📉 In reality, deflation is the natural state of a free market when technology makes everything cheaper.

Historical example:\ In the U.S., from the Civil War to the early 1900s, the economy experienced gentle deflation — alongside economic growth, employment expansion, and industrial boom.\ Prices fell: for example, a sack of flour cost \~$1.00 in 1865 and \~$0.50 in 1895 — and there was no crisis, because wages held and productivity increased.

Modern example:\ Consumer electronics over the past 20–30 years are a vivid example of technological deflation:\ – What cost $5,000 in 2000 (e.g., a 720p plasma TV) now costs $300 and delivers 10× better quality.\ – Phones, computers, cameras — all became far more powerful and cheaper at the same time.\ That’s how tech-driven deflation works: you get more for less.

📌 Bitcoin doesn’t make the world deflationary. It just doesn’t fight against deflation, unlike the fiat model that fights to preserve its debt pyramid.\ It stops punishing savers and rewards long-term thinkers.

Even economists often confuse organic tech deflation with crisis-driven (debt) deflation.

---

\ \ Statement: We’ve never lived in a truly free market — central banks and issuance always existed.\ Criticism: ideological statement.\ A truly “free” market is utopian.\ Banks and monetary issuance emerged in response to crises.\ A market without arbiters is not always fair, especially under imperfect competition.

2. “The Free Market Is a Utopia”

Yes, “pure markets” are rare. But what we have today isn’t regulation — it’s centralized power in the hands of central banks and cartels.

Bitcoin offers rules without rulers. 21 million. No one can change the issuance. It’s not ideology — it’s code instead of trust. And it has worked for 15 years.

💬 People often say that banks and centralized issuance emerged as a response to crises — as if the market couldn’t manage on its own.\ But if a system needs to be “rescued” again and again through money printing… maybe the problem isn’t freedom, but the system itself?

📌 Crises don’t disprove the value of free markets. They only reveal how fragile a system becomes when the price of money is set not by the market, but by a boardroom vote.\ Bitcoin doesn’t magically eliminate crises — it removes the root cause: the ability to manipulate money in someone’s interest.

---

\ \ Statement: Inflation is an invisible tax, especially on the poor and working class.\ Criticism: partly true: inflation can reduce debt burden, boost employment.\ The state indexes social benefits. Under stable inflation, compensators can work. Under deflation, things might be worse (mass layoffs, defaults).

3. “Inflation Can Help”

Theoretically — yes. Textbooks say moderate inflation can reduce debt burdens and stimulate consumption and jobs.\ But in practice — it works as a stealth tax, especially on those without assets. The wealthy escape — into real estate, stocks, funds.\ But the poor and working class lose purchasing power because their money is held in cash — and cash devalues.

💬 As Lyn Alden says:

“When your money can’t hold value, you’re forced to become an investor — even if you just want to save and live.”

The state may index pensions or benefits — but always with a lag, and always less than actual price increases.\ If bread rises 15% and your payment increase is 5%, you got poorer, even if the number on paper went up.

💥 We live in an inflationary system of everything:\ – Inflationary money\ – Inflationary products\ – Inflationary content\ – And now even inflationary minds

🧠 This is more than just rising prices — it’s a degradation of reality perception. You’re always rushing, everything loses meaning.\ But when did the system start working against you?

📉 What went wrong after 1971?

This chart shows that from 1948 to the early 1970s, productivity and wages grew together.\ But after the end of the gold standard in 1971 — the connection broke. Productivity kept rising, but real wages stalled.

👉 This means: you work more, better, faster — but buy less.

🔗 Source: wtfhappenedin1971.com

When you must spend today because tomorrow it’ll be worth less — that’s rewarding impulse and punishing long-term thinking.

Bitcoin offers a different environment:\ – Savings work\ – Long-term thinking is rewarded\ – The price of the future is calculated, not forced by a printing press

📌 Inflation can be a tool. But in government hands, it became a weapon — a slow, inevitable upward redistribution of wealth.

---

\ \ Statement: War is not growth, but a reallocation of resources into destruction.

Criticism: war can spur technological leaps (Internet, GPS, nuclear energy — all from military programs). "Military Keynesianism" was a real model.

4. “War Drives R&D”

Yes, wars sometimes give rise to tech spin-offs: Internet, GPS, nuclear power — all originated from military programs.

But that doesn’t make war a source of progress — it makes tech a byproduct of catastrophe.

“War reallocates resources toward destruction — not growth.”

Progress doesn’t happen because of war — it happens despite it.

If scientific breakthroughs require a million dead and burnt cities — maybe you’ve built your economy wrong.

💬 Even Michael Saylor said:

“If you need war to develop technology — you’ve built civilization wrong.”

No innovation justifies diverting human labor, minds, and resources toward destruction.\ War is always the opposite of efficiency — more is wasted than created.

🧠 Bitcoin, on the other hand, is an example of how real R&D happens without violence.\ No taxes. No army. Just math, voluntary participation, and open-source code.

📌 Military Keynesianism is not a model of progress — it’s a symptom of a sick monetary system that needs destruction to reboot.

Bitcoin shows that coordination without violence is possible.\ This is R&D of a new kind: based not on destruction, but digital creation.

---

Statement: Bitcoin isn’t “Gold 1.0,” but an improved version: divisible, verifiable, unseizable.

Criticism: Bitcoin has no physical value; "unseizability" is a theory;\ Gold is material and autonomous.

5. “Bitcoin Has No Physical Value”

And gold does? Just because it shines?

Physical form is no guarantee of value.\ Real value lies in: scarcity, reliable transfer, verifiability, and non-confiscatability.

Gold is:\ – Hard to divide\ – Hard to verify\ – Expensive to store\ – Easy to seize

💡 Bitcoin is the first store of value in history that is fully free from physical limitations, and yet:\ – Absolutely scarce (21M, forever)\ – Instantly transferable over the Internet\ – Cryptographically verifiable\ – Controlled by no government

🔑 Bitcoin’s value lies in its liberation from the physical.\ It doesn’t need to be “backed” by gold or oil. It’s backed by energy, mathematics, and ongoing verification.

“Price is what you pay, value is what you get.” — Warren Buffett

When you buy bitcoin, you’re not paying for a “token” — you’re gaining access to a network of distributed financial energy.

⚡️ What are you really getting when you own bitcoin?\ – A key to a digital asset that can’t be faked\ – The ability to send “crystallized energy” anywhere on Earth (it takes 10 minutes on the base L1 layer, or instantly via the Lightning Network)\ – A role in a new accounting system that runs 24/7/365\ – Freedom: from banks, borders, inflation, and force

📉 Bitcoin doesn’t require physical value — because it creates value:\ Through trust, scarcity, and energy invested in mining.\ And unlike gold, it was never associated with slavery.

---

Statement: There’s no “income without risk” in Bitcoin: just hold — you preserve; want more — invest, risk, build.

Criticism: contradicts HODL logic; speculation remains dominant behavior.

6. “Speculation Dominates”

For now — yes. That’s normal for the early phase of a new technology. Awareness doesn’t come instantly.

What matters is not the motive of today’s buyer — but what they’re buying.

📉 A speculator may come and go — but the asset remains.\ And this asset is the only one in history that will never exist again. 21 million. Forever.

📌 Look deeper. Bitcoin has:\ – No CEO\ – No central issuer\ – No inflation\ – No “off switch”\ 💡 It was fairly distributed — through mining, long before ASICs existed. In the early years, bitcoin was spent and exchanged — not hoarded. Only those who truly believed in it are still holding it today.

💡 It’s not a stock. Not a startup. Not someone’s project.\ It’s a new foundation for trust.\ It’s opting out of a system where freedom is a privilege you’re granted under conditions.

🧠 People say: “Bitcoin can be copied.”\ Theoretically — yes.\ Practically — never.

Here’s what you’d need to recreate Bitcoin:\ – No pre-mine\ – A founder who disappears and never sells\ – No foundation or corporation\ – Tens of thousands of nodes worldwide\ – 701 million terahashes of hash power\ – Thousands of devs writing open protocols\ – Hundreds of global conferences\ – Millions of people defending digital sovereignty\ – All that without a single marketing budget

That’s all.

🔁 Everything else is an imitation, not a creation.\ Just like you can’t “reinvent fire” — Bitcoin can only exist once.

---

Statements:\ **The Russia's '90s weren’t a free market — just anarchic chaos without rights protection.\ **Unlike fiat or even dollars, Bitcoin is the first asset with real defense — from governments, inflation, even thugs.\ *And yes, even if your barber asks about Bitcoin — maybe it's not a bubble, but a sign that inflation has already hit everyone.

Criticism: Bitcoin’s protection isn’t universal — it works only with proper handling and isn’t available to all.\ Some just want to “get rich.”\ None of this matters because:

1. Bitcoin’s volatility (-30% in a week, +50% in a month) makes it unusable for price planning or contracts.

2. It can’t handle mass-scale usage.

3. To become currency, geopolitical will is needed — and without the first two, don’t even talk about the third.\ Also: “Bitcoin is too complicated for the average person.”

7. “It’s Too Complex for the Masses”

It’s complex — if you’re using L1 (Layer 1). But even grandmas use Telegram. In El Salvador, schoolkids buy lunch with Lightning. My barber installed Wallet of Satoshi in minutes right in front of me — and I now pay for my haircut via Lightning.

UX is just a matter of time. And it’s improving. Emerging tools:\ Cashu, Fedimint, Fedi, Wallet of Satoshi, Phoenix, Proton Wallet, Swiss Bitcoin Pay, Bolt Card / CoinCorner (NFC cards for Lightning payments).

This is like the internet in 1995:\ It started with modems — now it’s 4K streaming.

💸 Now try sending a regular bank transfer abroad:\ – you need to type a long IBAN\ – add SWIFT/BIC codes\ – include the recipient’s full physical address (!), compromising their privacy\ – sometimes add extra codes or “purpose of payment”\ – you might get a call from your bank “just to confirm”\ – no way to check the status — the money floats somewhere between correspondent/intermediary banks\ – weekends or holidays? Banks are closed\ – and don’t forget the limits, restrictions, and potential freezes

📌 With Bitcoin, you just scan a QR code and send.\ 10 minutes on-chain = final settlement.\ Via Lightning = instant and nearly free.\ No bureaucracy. No permission. No borders.

---

8. “Can’t Handle the Load”

A common myth.\ Yes, Bitcoin L1 processes about 7 transactions per second — intentionally. It’s not built to be Visa. It’s a financial protocol, just like TCP/IP is a network protocol. TCP/IP isn’t “fast” or “slow” — the experience depends on the infrastructure built on top: servers, routers, hardware. In the ’90s, it delivered text. Today, it streams Netflix. The protocol didn’t change — the stack did.

Same with Bitcoin: L1 defines rules, security, finality.\ Scaling and speed? That’s the second layer’s job.

To understand scale:

| Network | TPS (Transactions/sec) | | --- | --- | | Visa | up to 24,000 | | Mastercard | \~5,000 | | PayPal | \~193 | | Litecoin | \~56 | | Ethereum | \~20 | | Bitcoin | \~7 |

\ ⚡️ Enter Lightning Network — Bitcoin’s “fast lane.”\ It allows millions of transactions per second, instantly and nearly free.

And it’s not a sidechain.

❗️ Lightning is not a separate network.\ It uses real Bitcoin transactions (2-of-2 multisig). You can close the channel to L1 at any time. It’s not an alternative — it’s a native extension built into Bitcoin.\ Also evolving: Ark, Fedimint, eCash — new ways to scale and add privacy.

📉 So criticizing Bitcoin for “slowness” is like blaming TCP/IP because your old modem won’t stream YouTube.\ The protocol isn’t the problem — it’s the infrastructure.

🛡️ And by the way: Visa crashes more often than Bitcoin.

---

9. “We Need Geopolitical Will”

Not necessarily. All it takes is the will of the people — and leaders willing to act. El Salvador didn’t wait for G20 approval or IMF blessings. Since 2001, the country had used the US dollar as its official currency, abandoning its own colón. But that didn’t save it from inflation or dependency on foreign monetary policy. In 2021, El Salvador became the first country to recognize Bitcoin as legal tender. Since March 13, 2024, they’ve been purchasing 1 BTC daily, tracked through their public address:

🔗 Address\ 📅 First transaction

This policy became the foundation of their Strategic Bitcoin Reserve (SBR) — a state-led effort to accumulate Bitcoin as a national reserve asset for long-term stability and sovereignty.

Their example inspired others.

In March 2025, U.S. President Donald Trump signed an executive order creating the Strategic Bitcoin Reserve of the USA, to be funded through confiscated Bitcoin and digital assets.\ The idea: accumulate, don’t sell, and strategically expand the reserve — without extra burden on taxpayers.

Additionally, Senator Cynthia Lummis (Wyoming) proposed the BITCOIN Act, targeting the purchase of 1 million BTC over five years (\~5% of the total supply).\ The plan: fund it via revaluation of gold certificates and other budget-neutral strategies.

📚 More: Strategic Bitcoin Reserve — Wikipedia

👉 So no global consensus is required. No IMF greenlight.\ All it takes is conviction — and an understanding that the future of finance lies in decentralized, scarce assets like Bitcoin.

---

10. “-30% in a week, +50% in a month = not money”

True — Bitcoin is volatile. But that’s normal for new technologies and emerging money. It’s not a bug — it’s a price discovery phase. The world is still learning what this asset is.

📉 Volatility is the price of entry.\ 📈 But the reward is buying the future at a discount.

As Michael Saylor put it:

“A tourist sees Niagara Falls as chaos — roaring, foaming, spraying water.\ An engineer sees immense energy.\ It all depends on your mental model.”

Same with Bitcoin. Speculators see chaos. Investors see structural scarcity. Builders see a new financial foundation.

💡 Now consider gold:

👉 After the gold standard was abandoned in 1971, the price of gold skyrocketed from around \~$300 to over $2,700 (adjusted to 2023 dollars) by 1980. Along the way, it experienced extreme volatility — with crashes of 40–60% even amid the broader uptrend.\ 💡 (\~$300 is the inflation-adjusted equivalent of about $38 in 1971 dollars)\ 📈 Source: Gold Price Chart — Macrotrends\ \ Nobody said, “This can’t be money.” \ Because money is defined not by volatility, but by scarcity, adoption, and trust — which build over time.

📊 The more people save in Bitcoin, the more its volatility fades.

This is a journey — not a fixed state.

We don’t judge the internet by how it worked in 1994.\ So why expect Bitcoin to be the “perfect currency” in 2025?

It grows bottom-up — without regulators’ permission.\ And the longer it survives, the stronger it becomes.

Remember how many times it’s been declared dead.\ And how many times it came back — stronger.

---

📊 Gold vs. Bitcoin: Supply Comparison

This chart shows the key difference between the two hard assets:

🔹 Gold — supply keeps growing.\ Mining may be limited, but it’s still inflationary.\ Each year, there’s more — with no known cap: new mines, asteroid mining, recycling.

🔸 Bitcoin — capped at 21 million.\ The emission schedule is public, mathematically predictable, and ends completely around 2140.

🧠 Bottom line:\ Gold is good.\ Bitcoin is better — for predictability and scarcity.

💡 As Saifedean Ammous said:

“Gold was the best monetary good… until Bitcoin.”

### While we argue — fiat erodes every day.

No matter your view on Bitcoin, just show me one other asset that is simultaneously:

– immune to devaluation by decree\ – impossible to print more of\ – impossible to confiscate by a centralized order\ – impossible to counterfeit\ – and, most importantly — transferable across borders without asking permission from a bank, a state, or a passport

💸 Try sending $10,000 through PayPal from Iran to Paraguay, or Bangladesh to Saint Lucia.\ Good luck. PayPal doesn't even work there.

Now open a laptop, type 12 words — and you have access to your savings anywhere on Earth.

🌍 Bitcoin doesn't ask for permission.\ It works for everyone, everywhere, all the time.

📌 There has never been anything like this before.

Bitcoin is the first asset in history that combines:

– digital nature\ – predictable scarcity\ – absolute portability\ – and immunity from tyranny

💡 As Michael Saylor said:

“Bitcoin is the first money in human history not created by bankers or politicians — but by engineers.”

You can own it with no bank.\ No intermediary.\ No passport.\ No approval.

That’s why Bitcoin isn’t just “internet money” or “crypto” or “digital gold.”\ It may not be perfect — but it’s incorruptible.\ And it’s not going away.\ It’s already here.\ It is the foundation of a new financial reality.

---

🔒 This is not speculation. This is a peaceful financial revolution.\ 🪙 This is not a stock. It’s money — like the world has never seen.\ ⛓️ This is not a fad. It’s a freedom protocol.

And when even the barber starts asking about Bitcoin — it’s not a bubble.\ It’s a sign that the system is breaking.\ And people are looking for an exit.

For the first time — they have one.

---

💼 This is not about investing. It’s about the dignity of work.

Imagine a man who cleans toilets at an airport every day.

Not a “prestigious” job.\ But a crucial one.\ Without him — filth, bacteria, disease.

He shows up on time. He works with his hands.

And his money? It devalues. Every day.

He doesn’t work less — often he works more than those in suits.\ But he can afford less and less — because in this system, honest labor loses value each year.

Now imagine he’s paid in Bitcoin.

Not in some “volatile coin,” but in hard money — with a limited supply.\ Money that can’t be printed, reversed, or devalued by central banks.

💡 Then he could:

– Stop rushing to spend, knowing his labor won’t be worth less tomorrow\ – Save for a dream — without fear of inflation eating it away\ – Feel that his time and effort are respected — because they retain value

Bitcoin gives anyone — engineer or janitor — a way out of the game rigged against them.\ A chance to finally build a future where savings are real.

This is economic justice.\ This is digital dignity.

📉 In fiat, you have to spend — or your money melts.\ 📈 In Bitcoin, you choose when to spend — because it’s up to you.

🧠 In a deflationary economy, both saving and spending are healthy:

You don’t scramble to survive — you choose to create.

🎯 That’s true freedom.

When even someone cleaning floors can live without fear —\ and know that their time doesn’t vanish... it turns into value.

---

🧱 The Bigger Picture

Bitcoin is not just a technology — it’s rooted in economic philosophy.\ The Austrian School of Economics has long argued that sound money, voluntary exchange, and decentralized decision-making are prerequisites for real prosperity.\ Bitcoin doesn’t reinvent these ideas — it makes them executable.

📉 Inflation doesn’t just erode savings.\ It quietly destroys quality of life.\ You work more — and everything becomes worse:\ – food is cheaper but less nutritious\ – homes are newer but uglier and less durable\ – clothes cost more but fall apart in months\ – streaming is faster, but your attention span collapses\ This isn’t just consumerism — it’s the economics of planned obsolescence.

🧨 Meanwhile, the U.S. debt has exceeded 3x its GDP.\ And nobody wants to buy U.S. bonds anymore — so the U.S. has to buy its own debt.\ Yes: printing money to buy the IOUs you just printed.\ This is the endgame of fiat.

🎭 Bonds are often sold as “safe.”\ But in practice, they are a weapon — especially abroad.\ The U.S. and IMF give loans to developing countries.\ But when those countries can’t repay (due to rigged terms or global economic headwinds), they’re forced to sell land, resources, or strategic assets.\ Both sides lose: the debtor collapses under the weight of debt, while the creditor earns resentment and instability.\ This isn’t cooperation — it’s soft colonialism enabled by inflation.

📌 Bitcoin offers a peaceful exit.\ A financial system where money can’t be created out of thin air.\ Where savings work.\ Where dignity is restored — even for those who clean toilets.

---

@ cae03c48:2a7d6671

Bitcoin Magazine

U.S. Leads the World in Bitcoin Ownership, New Report Shows

A new report from River reveals that the United States dominates Bitcoin ownership globally, holding about 40% of all available Bitcoin. With 14.3% of its population owning Bitcoin, the U.S. outpaces Europe, Oceania, and Asia combined.

The United States is the global Bitcoin superpower.

Our new report breaks down how this advantage can fuel the next era of American prosperity. pic.twitter.com/v5BNgTGsKA

— River (@River) May 20, 2025

Corporate America also leads in Bitcoin holdings. Thirty-two U.S. public companies, with a combined market cap of $1.26 trillion, hold Bitcoin as a treasury asset. These firms account for 94.8% of all Bitcoin owned by publicly traded companies worldwide. Major holders include Strategy with 569,000 BTC, U.S. mining companies with 96,000 BTC, and others with 68,000 BTC, totaling 733,000 BTC in the U.S., compared to 40,000 BTC held elsewhere.

Since China’s ban on Bitcoin mining in 2021, the United States has become the global leader in Bitcoin mining, responsible for 38% of all new Bitcoin mined since then. The U.S. attracts miners thanks to its stable regulatory environment, access to deep and liquid capital markets, and abundant energy resources. These advantages have helped the U.S. increase its share of the global Bitcoin mining hashrate by over 500% since 2020, solidifying its position as the center of the industry.

Bitcoin is also emerging as America’s preferred reserve asset, overtaking gold. Over 49.6 million Americans are in favor of holding Bitcoin, compared to 36.7 million who still prefer gold.

The US government’s bitcoin advantage is greater than that of gold, where the US accounts for just 29.9% of the world’s central bank gold reserves. 

“Because there is a fixed supply of BTC, there is a strategic advantage to being among the first nations to create a strategic bitcoin reserve,” said the White House on March 7, 2025.

Politically, support for Bitcoin is gaining significant momentum across the U.S. government. As of now, 59% of U.S. Senators and 66% of House Representatives openly support pro-Bitcoin policies, signaling a notable shift in political attitudes and greater acceptance of digital assets as key components of America’s economic future.

The study highlights that Bitcoin ownership is highest among American males aged 31-35 and 41-45, with ownership rates ranging from 3% to 41% within these age groups. Politically, those identifying as “very liberal” or “neutral” are more likely to own Bitcoin than conservatives, though conservatives still make up a significant portion of holders.

This post U.S. Leads the World in Bitcoin Ownership, New Report Shows first appeared on Bitcoin Magazine and is written by Oscar Zarraga Perez.

@ c1e9ab3a:9cb56b43

Esteemed representatives of Risa,

We gather here under the calming glow of our twin suns, stewards of a society admired for its peace and celebrated for its tranquility. But we must not mistake serenity for passivity, nor confuse peace with weakness. Our peace is not an accident. It is not the byproduct of ignorance or naivety. It is hard-earned—preserved by those willing to stand vigilant in its defense.

Love as a Foundation, Strength as a Shield

Love conquers hate. This is the core truth of Risan philosophy. Yet, as every Ricin child is taught, love without strength is a leaf in the wind. The Ricin do not lay down their lives without resistance. We do not ask our people to accept violence without confronting it. True peace is not imposed by stripping the people of their agency—it is built by enabling them to protect it.

The Lessons of a Failed Experiment

There was a time, not so distant in our history, when we attempted to enforce peace through the abolition of all weapons. A time when even the mention of self-defense in our educational centers was met with rebuke. Schools purged training programs. Cultural arts that honored our warrior traditions were dismissed. And for a brief moment, we believed this would lead us to harmony.

But peace born from helplessness is a fragile illusion. It fractures under the slightest pressure. And fracture it did—when off-world raiders targeted our unguarded sanctuaries, when radical sects within our own society struck out, knowing the citizenry could not defend itself. It was then that we remembered: Risa’s greatest peacekeepers had always been those who knew how to fight—but chose restraint.

The Age of Ricin and the Reawakening of Discipline

So we returned to our roots. To the traditions of the Age of Ricin, when youth, upon reaching maturity, were taught not only the arts of compassion and creation but also the martial disciplines. They learn to wield weapons—not to glorify violence, but to understand it. To control it. To stand firm against it when all else fails.

https://i.nostr.build/kuUjRovISz7367TX.jpg

We do not romanticize war. We do not celebrate conflict. But we prepare for it, should it seek to extinguish our light. Our children now learn the disciplines of defense alongside their studies in poetry, music, and healing. They spar with blunt blades under the watchful eyes of masters. They meditate on the consequences of force. And they grow into citizens not easily provoked, but never unprepared.

A Call for Balance, Not Extremes

Let those beyond our borders question our ways. Let them forget the countless incursions by the Romulans. Let them ignore the scars left by centuries of subversion from the Orion Syndicate. We do not forget. We remember the lives lost, the liberties challenged, and the lessons learned through suffering. These experiences shaped us.

We do not wish to return to the era of soft silence, when teachers trembled at the word "weapon" and children were told that even imagination was dangerous. That was not enlightenment. That was indoctrination.

Conclusion: Guarding the Flame

We are the guardians of Risa’s flame—not just with words and treaties, but with discipline and readiness. We have made peace a practice, and preparation a virtue. And so I say to this chamber: let us never again disarm our people in the name of utopia. Let us never confuse comfort with safety, or the absence of weapons with the presence of peace.

Instead, let us raise generations who know what peace costs, and who will pay that price—not with surrender, but with courage.

Let our children be artists, lovers, dreamers—and if necessary, defenders.

This is the Risan way.

@ 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.

@ c1e9ab3a:9cb56b43

Spoken by Counselor Elaron T’Saren of Risa to the High Council, Stardate 52874.2

Honored members of the Council,

I bring you greetings from Risa—not the Risa of travel brochures and romantic holo-novels, but the true Risa. The Risa that has endured, adapted, and emerged stronger after each trial. I speak not as a tourist ambassador, but as a Counselor of our oldest institute of philosophy, and as a son of the Ricin tradition.

Today, the specter of the Borg hangs above us. The collective offers no room for diplomacy, no respect for culture, no compromise. We face not mere invaders—but a force that seeks to erase individuality, history, and identity. Some among the Council wonder what Risa—a world of peace—can offer in such a time. I say to you: we can offer the truth about peace.

The Hidden Roots of Our Tranquility

Long ago, before Risa joined the Federation, we too believed that peace could be maintained by disarming the populace, by eliminating even the mention of conflict in our schools. It was called the Great Disarmament. A generation was raised with no understanding of defense, and in time, we paid the price.

We were raided by Orion pirates. Exploited by off-world cartels. Our people were taken, our arts destroyed, our skies blackened. And we learned—too late—that peace without preparedness is only the illusion of safety.

The Birth of Ricin Doctrine

From the ashes of that failure arose the Ricin: scholars, philosophers, warriors of thought and purpose. They taught that peace is not the absence of conflict, but the mastery of it. That the mind and the body must be trained in tandem. That love without strength is a leaf in the wind.

We did not become a militant world. We became a watchful one. Our children were taught martial discipline—not to glorify violence, but to understand it, to confront it, and to defeat it when necessary. They learned meditation alongside hand-to-hand technique, negotiation beside tactical reasoning.

When we joined the Federation, we did so willingly. But let none assume we surrendered our right to defend our way of life.

Why I Speak to You Now

The Borg are not like the Orion Syndicate. They are not opportunistic, or ideological. They are methodical. And they are coming. You cannot debate with them. You cannot delay them. You can only prepare for them.

And yet, I hear murmurs within the halls of the Federation: whispers of abandoning planetary defense training, of downplaying the psychological need for individual and planetary preparedness. I hear the tired lie that “peace will protect us.”

No, Councilors. It is discipline that protects peace.

The Call to Action

I do not come bearing weapons. I come bearing wisdom. Let us take the Risan lesson and apply it across the Federation. Reestablish tactical readiness training in civilian schools. Encourage planetary governments to integrate defense and philosophy, not as contradictions, but as complements.

Let every child of the Federation grow up knowing not just the principles of liberty, but the means to defend them. Let every artist, scientist, and healer stand ready to protect the civilization they help to build.

Let us not wait until the Borg are in our orbit to remember what we must become.

Conclusion

The Borg seek to erase our uniqueness. Let us show them that the Federation is not a fragile collection of planets—but a constellation of cultures bound by a shared resolve.

We do not choose war. But neither do we flee from it.

We are the guardians of Risa’s flame—and we offer our light to the stars.

Thank you.

@ cae03c48:2a7d6671

Bitcoin Magazine

The Blockchain Group Secures €8.6 Million to Boost Bitcoin Strategy

The Blockchain Group (ALTBG), listed on Euronext Growth Paris and known as Europe’s first Bitcoin Treasury Company, has announced a capital increase of approximately €8.6 million as it pushes forward with its Bitcoin Treasury Company strategy. The funding was raised through two operations, a Reserved Capital Increase and a Private Placement, with both priced at €1.279 per share.

JUST IN: French company The Blockchain Group raises €8.6 million to buy more #Bitcoin pic.twitter.com/VjTKyFSS6w

— Bitcoin Magazine (@BitcoinMagazine) May 20, 2025

This price represents a 20.18% premium over the 20-day volume-weighted average share price but a 46.26% discount compared to the closing price on May 19, 2025, reflecting recent high share price volatility.

“The Company’s Board of Directors decided on May 19, 2025, using the delegated authority granted by the shareholders’ meeting held on February 21, 2025, under the terms of its 5th resolution, on an issuance, without pre-emptive rights for shareholders, of 3,368,258 new ordinary shares of the Company at a price of €1.2790 per share, including an issuance premium, representing a premium of approximately 20.18% compared to the weighted average of the twenty closing prices of ALTBG shares on Euronext Growth Paris preceding the decision of the Company’s Board of Directors, corresponding to a total subscription amount of €4,308,001.98,” said the press release. 

In the Reserved Capital Increase, 3.37 million shares were issued to selected investors, including Robbie van den Oetelaar, TOBAM Bitcoin Treasury Opportunities Fund, and Quadrille Capital, raising over €4.3 million. The Private Placement raised another €4.35 million via the issuance of 3.4 million shares, targeting qualified investors.

“The Board of Directors also decided on a capital increase without pre-emptive rights for shareholders through an offering exclusively targeting a limited circle of investors acting on their own behalf or qualified investor, ” stated the press release.

The funds will support The Blockchain Group’s ongoing strategy of accumulating Bitcoin and expanding its subsidiaries in data intelligence, AI, and decentralized tech. Following this capital increase, the company’s share capital stands at €4.37 million, divided into over 109 million shares.

“The funds raised through the Capital Increase will enable the Company to strengthen its Bitcoin Treasury Company strategy, consisting in the accumulation of Bitcoin, while continuing to develop the operational activities of its subsidiaries,” said the press release.

Additionally, on May 12, The Blockchain Group announced it secured approximately €12.1 million through a convertible bond issuance reserved for Adam Back, CEO of Blockstream.

This post The Blockchain Group Secures €8.6 Million to Boost Bitcoin Strategy first appeared on Bitcoin Magazine and is written by Oscar Zarraga Perez.

@ c1e9ab3a:9cb56b43

Hear this, warriors of the Empire!

A dishonorable shadow spreads across our once-proud institutions, infecting our very bloodlines with weakness. The House of Duras—may their names be spoken with contempt—has betrayed the sacred warrior code of Kahless. No, they have not attacked us with disruptors or blades. Their weapon is more insidious: fear and silence.

Cowardice Masquerading as Concern

These traitors would strip our children of their birthright. They forbid the young from training with the bat'leth in school! Their cowardly decree does not come in the form of an open challenge, but in whispers of fear, buried in bureaucratic dictates. "It is for safety," they claim. "It is to prevent bloodshed." Lies! The blood of Klingons must be tested in training if it is to be ready in battle. We are not humans to be coddled by illusions of safety.

Indoctrination by Silence

In their cowardice, the House of Duras seeks to shape our children not into warriors, but into frightened bureaucrats who speak not of honor, nor of strength. They spread a vile practice—of punishing younglings for even speaking of combat, for recounting glorious tales of blades clashing in the halls of Sto-Vo-Kor! A child who dares write a poem of battle is silenced. A young warrior who shares tales of their father’s triumphs is summoned to the headmaster’s office.

This is no accident. This is a calculated cultural sabotage.

Weakness Taught as Virtue

The House of Duras has infected the minds of the teachers. These once-proud mentors now tremble at shadows, seeing future rebels in the eyes of their students. They demand security patrols and biometric scanners, turning training halls into prisons. They have created fear, not of enemies beyond the Empire, but of the students themselves.

And so, the rituals of strength are erased. The bat'leth is banished. The honor of open training and sparring is forbidden. All under the pretense of protection.

A Plan of Subjugation

Make no mistake. This is not a policy; it is a plan. A plan to disarm future warriors before they are strong enough to rise. By forbidding speech, training, and remembrance, the House of Duras ensures the next generation kneels before the High Council like servants, not warriors. They seek an Empire of sheep, not wolves.

Stand and Resist

But the blood of Kahless runs strong! We must not be silent. We must not comply. Let every training hall resound with the clash of steel. Let our children speak proudly of their ancestors' battles. Let every dishonorable edict from the House of Duras be met with open defiance.

Raise your voice, Klingons! Raise your blade! The soul of the Empire is at stake. We will not surrender our future. We will not let the cowardice of Duras shape the spirit of our children.

The Empire endures through strength. Through honor. Through battle. And so shall we!

@ 1817b617:715fb372

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@ e3ba5e1a:5e433365

My blog posts and reading material have both been on a decidedly economics-heavy slant recently. The topic today, incentives, squarely falls into the category of economics. However, when I say economics, I’m not talking about “analyzing supply and demand curves.” I’m talking about the true basis of economics: understanding how human beings make decisions in a world of scarcity.

A fair definition of incentive is “a reward or punishment that motivates behavior to achieve a desired outcome.” When most people think about economic incentives, they’re thinking of money. If I offer my son $5 if he washes the dishes, I’m incentivizing certain behavior. We can’t guarantee that he’ll do what I want him to do, but we can agree that the incentive structure itself will guide and ultimately determine what outcome will occur.

The great thing about monetary incentives is how easy they are to talk about and compare. “Would I rather make $5 washing the dishes or $10 cleaning the gutters?” But much of the world is incentivized in non-monetary ways too. For example, using the “punishment” half of the definition above, I might threaten my son with losing Nintendo Switch access if he doesn’t wash the dishes. No money is involved, but I’m still incentivizing behavior.

And there are plenty of incentives beyond our direct control! My son is also incentivized to not wash dishes because it’s boring, or because he has some friends over that he wants to hang out with, or dozens of other things. Ultimately, the conflicting array of different incentive structures placed on him will ultimately determine what actions he chooses to take.

Why incentives matter

A phrase I see often in discussions—whether they are political, parenting, economic, or business—is “if they could just do…” Each time I see that phrase, I cringe a bit internally. Usually, the underlying assumption of the statement is “if people would behave contrary to their incentivized behavior then things would be better.” For example:

• If my kids would just go to bed when I tell them, they wouldn’t be so cranky in the morning.
• If people would just use the recycling bin, we wouldn’t have such a landfill problem.
• If people would just stop being lazy, our team would deliver our project on time.

In all these cases, the speakers are seemingly flummoxed as to why the people in question don’t behave more rationally. The problem is: each group is behaving perfectly rationally.

• The kids have a high time preference, and care more about the joy of staying up now than the crankiness in the morning. Plus, they don’t really suffer the consequences of morning crankiness, their parents do.
• No individual suffers much from their individual contribution to a landfill. If they stopped growing the size of the landfill, it would make an insignificant difference versus the amount of effort they need to engage in to properly recycle.
• If a team doesn’t properly account for the productivity of individuals on a project, each individual receives less harm from their own inaction. Sure, the project may be delayed, company revenue may be down, and they may even risk losing their job when the company goes out of business. But their laziness individually won’t determine the entirety of that outcome. By contrast, they greatly benefit from being lazy by getting to relax at work, go on social media, read a book, or do whatever else they do when they’re supposed to be working.

My point here is that, as long as you ignore the reality of how incentives drive human behavior, you’ll fail at getting the outcomes you want.

If everything I wrote up until now made perfect sense, you understand the premise of this blog post. The rest of it will focus on a bunch of real-world examples to hammer home the point, and demonstrate how versatile this mental model is.

Running a company

Let’s say I run my own company, with myself as the only employee. My personal revenue will be 100% determined by my own actions. If I decide to take Tuesday afternoon off and go fishing, I’ve chosen to lose that afternoon’s revenue. Implicitly, I’ve decided that the enjoyment I get from an afternoon of fishing is greater than the potential revenue. You may think I’m being lazy, but it’s my decision to make. In this situation, the incentive–money–is perfectly aligned with my actions.

Compare this to a typical company/employee relationship. I might have a bank of Paid Time Off (PTO) days, in which case once again my incentives are relatively aligned. I know that I can take off 15 days throughout the year, and I’ve chosen to use half a day for the fishing trip. All is still good.

What about unlimited time off? Suddenly incentives are starting to misalign. I don’t directly pay a price for not showing up to work on Tuesday. Or Wednesday as well, for that matter. I might ultimately be fired for not doing my job, but that will take longer to work its way through the system than simply not making any money for the day taken off.

Compensation overall falls into this misaligned incentive structure. Let’s forget about taking time off. Instead, I work full time on a software project I’m assigned. But instead of using the normal toolchain we’re all used to at work, I play around with a new programming language. I get the fun and joy of playing with new technology, and potentially get to pad my resume a bit when I’m ready to look for a new job. But my current company gets slower results, less productivity, and is forced to subsidize my extracurricular learning.

When a CEO has a bonus structure based on profitability, he’ll do everything he can to make the company profitable. This might include things that actually benefit the company, like improving product quality, reducing internal red tape, or finding cheaper vendors. But it might also include destructive practices, like slashing the R\&D budget to show massive profits this year, in exchange for a catastrophe next year when the next version of the product fails to ship.

Or my favorite example. My parents owned a business when I was growing up. They had a back office where they ran operations like accounting. All of the furniture was old couches from our house. After all, any money they spent on furniture came right out of their paychecks! But in a large corporate environment, each department is generally given a budget for office furniture, a budget which doesn’t roll over year-to-year. The result? Executives make sure to spend the entire budget each year, often buying furniture far more expensive than they would choose if it was their own money.

There are plenty of details you can quibble with above. It’s in a company’s best interest to give people downtime so that they can come back recharged. Having good ergonomic furniture can in fact increase productivity in excess of the money spent on it. But overall, the picture is pretty clear: in large corporate structures, you’re guaranteed to have mismatches between the company’s goals and the incentive structure placed on individuals.

Using our model from above, we can lament how lazy, greedy, and unethical the employees are for doing what they’re incentivized to do instead of what’s right. But that’s simply ignoring the reality of human nature.

Moral hazard

Moral hazard is a situation where one party is incentivized to take on more risk because another party will bear the consequences. Suppose I tell my son when he turns 21 (or whatever legal gambling age is) that I’ll cover all his losses for a day at the casino, but he gets to keep all the winnings.

What do you think he’s going to do? The most logical course of action is to place the largest possible bets for as long as possible, asking me to cover each time he loses, and taking money off the table and into his bank account each time he wins.

But let’s look at a slightly more nuanced example. I go to a bathroom in the mall. As I’m leaving, I wash my hands. It will take me an extra 1 second to turn off the water when I’m done washing. That’s a trivial price to pay. If I don’t turn off the water, the mall will have to pay for many liters of wasted water, benefiting no one. But I won’t suffer any consequences at all.

This is also a moral hazard, but most people will still turn off the water. Why? Usually due to some combination of other reasons such as:

1. We’re so habituated to turning off the water that we don’t even consider not turning it off. Put differently, the mental effort needed to not turn off the water is more expensive than the 1 second of time to turn it off.
2. Many of us have been brought up with a deep guilt about wasting resources like water. We have an internal incentive structure that makes the 1 second to turn off the water much less costly than the mental anguish of the waste we created.
3. We’re afraid we’ll be caught by someone else and face some kind of social repercussions. (Or maybe more than social. Are you sure there isn’t a law against leaving the water tap on?)

Even with all that in place, you may notice that many public bathrooms use automatic water dispensers. Sure, there’s a sanitation reason for that, but it’s also to avoid this moral hazard.

A common denominator in both of these is that the person taking the action that causes the liability (either the gambling or leaving the water on) is not the person who bears the responsibility for that liability (the father or the mall owner). Generally speaking, the closer together the person making the decision and the person incurring the liability are, the smaller the moral hazard.

It’s easy to demonstrate that by extending the casino example a bit. I said it was the father who was covering the losses of the gambler. Many children (though not all) would want to avoid totally bankrupting their parents, or at least financially hurting them. Instead, imagine that someone from the IRS shows up at your door, hands you a credit card, and tells you you can use it at a casino all day, taking home all the chips you want. The money is coming from the government. How many people would put any restriction on how much they spend?

And since we’re talking about the government already…

Government moral hazards

As I was preparing to write this blog post, the California wildfires hit. The discussions around those wildfires gave a huge number of examples of moral hazards. I decided to cherry-pick a few for this post.

The first and most obvious one: California is asking for disaster relief funds from the federal government. That sounds wonderful. These fires were a natural disaster, so why shouldn’t the federal government pitch in and help take care of people?

The problem is, once again, a moral hazard. In the case of the wildfires, California and Los Angeles both had ample actions they could have taken to mitigate the destruction of this fire: better forest management, larger fire department, keeping the water reservoirs filled, and probably much more that hasn’t come to light yet.

If the federal government bails out California, it will be a clear message for the future: your mistakes will be fixed by others. You know what kind of behavior that incentivizes? More risky behavior! Why spend state funds on forest management and extra firefighters—activities that don’t win politicians a lot of votes in general—when you could instead spend it on a football stadium, higher unemployment payments, or anything else, and then let the feds cover the cost of screw-ups.

You may notice that this is virtually identical to the 2008 “too big to fail” bail-outs. Wall Street took insanely risky behavior, reaped huge profits for years, and when they eventually got caught with their pants down, the rest of us bailed them out. “Privatizing profits, socializing losses.”

And here’s the absolute best part of this: I can’t even truly blame either California or Wall Street. (I mean, I do blame them, I think their behavior is reprehensible, but you’ll see what I mean.) In a world where the rules of the game implicitly include the bail-out mentality, you would be harming your citizens/shareholders/investors if you didn’t engage in that risky behavior. Since everyone is on the hook for those socialized losses, your best bet is to maximize those privatized profits.

There’s a lot more to government and moral hazard, but I think these two cases demonstrate the crux pretty solidly. But let’s leave moral hazard behind for a bit and get to general incentivization discussions.

Non-monetary competition

At least 50% of the economics knowledge I have comes from the very first econ course I took in college. That professor was amazing, and had some very colorful stories. I can’t vouch for the veracity of the two I’m about to share, but they definitely drive the point home.

In the 1970s, the US had an oil shortage. To “fix” this problem, they instituted price caps on gasoline, which of course resulted in insufficient gasoline. To “fix” this problem, they instituted policies where, depending on your license plate number, you could only fill up gas on certain days of the week. (Irrelevant detail for our point here, but this just resulted in people filling up their tanks more often, no reduction in gas usage.)

Anyway, my professor’s wife had a friend. My professor described in great detail how attractive this woman was. I’ll skip those details here since this is a PG-rated blog. In any event, she never had any trouble filling up her gas tank any day of the week. She would drive up, be told she couldn’t fill up gas today, bat her eyes at the attendant, explain how helpless she was, and was always allowed to fill up gas.

This is a demonstration of non-monetary compensation. Most of the time in a free market, capitalist economy, people are compensated through money. When price caps come into play, there’s a limit to how much monetary compensation someone can receive. And in that case, people find other ways of competing. Like this woman’s case: through using flirtatious behavior to compensate the gas station workers to let her cheat the rules.

The other example was much more insidious. Santa Monica had a problem: it was predominantly wealthy and white. They wanted to fix this problem, and decided to put in place rent controls. After some time, they discovered that Santa Monica had become wealthier and whiter, the exact opposite of their desired outcome. Why would that happen?

Someone investigated, and ended up interviewing a landlady that demonstrated the reason. She was an older white woman, and admittedly racist. Prior to the rent controls, she would list her apartments in the newspaper, and would be legally obligated to rent to anyone who could afford it. Once rent controls were in place, she took a different tact. She knew that she would only get a certain amount for the apartment, and that the demand for apartments was higher than the supply. That meant she could be picky.

She ended up finding tenants through friends-of-friends. Since it wasn’t an official advertisement, she wasn’t legally required to rent it out if someone could afford to pay. Instead, she got to interview people individually and then make them an offer. Normally, that would have resulted in receiving a lower rental price, but not under rent controls.

So who did she choose? A young, unmarried, wealthy, white woman. It made perfect sense. Women were less intimidating and more likely to maintain the apartment better. Wealthy people, she determined, would be better tenants. (I have no idea if this is true in practice or not, I’m not a landlord myself.) Unmarried, because no kids running around meant less damage to the property. And, of course, white. Because she was racist, and her incentive structure made her prefer whites.

You can deride her for being racist, I won’t disagree with you. But it’s simply the reality. Under the non-rent-control scenario, her profit motive for money outweighed her racism motive. But under rent control, the monetary competition was removed, and she was free to play into her racist tendencies without facing any negative consequences.

Bureaucracy

These were the two examples I remember for that course. But non-monetary compensation pops up in many more places. One highly pertinent example is bureaucracies. Imagine you have a government office, or a large corporation’s acquisition department, or the team that apportions grants at a university. In all these cases, you have a group of people making decisions about handing out money that has no monetary impact on them. If they give to the best qualified recipients, they receive no raises. If they spend the money recklessly on frivolous projects, they face no consequences.

Under such an incentivization scheme, there’s little to encourage the bureaucrats to make intelligent funding decisions. Instead, they’ll be incentivized to spend the money where they recognize non-monetary benefits. This is why it’s so common to hear about expensive meals, gift bags at conferences, and even more inappropriate ways of trying to curry favor with those that hold the purse strings.

Compare that ever so briefly with the purchases made by a small mom-and-pop store like my parents owned. Could my dad take a bribe to buy from a vendor who’s ripping him off? Absolutely he could! But he’d lose more on the deal than he’d make on the bribe, since he’s directly incentivized by the deal itself. It would make much more sense for him to go with the better vendor, save $5,000 on the deal, and then treat himself to a lavish $400 meal to celebrate.

Government incentivized behavior

This post is getting longer in the tooth than I’d intended, so I’ll finish off with this section and make it a bit briefer. Beyond all the methods mentioned above, government has another mechanism for modifying behavior: through directly changing incentives via legislation, regulation, and monetary policy. Let’s see some examples:

• Artificial modification of interest rates encourages people to take on more debt than they would in a free capital market, leading to malinvestment and a consumer debt crisis, and causing the boom-bust cycle we all painfully experience.
• Going along with that, giving tax breaks on interest payments further artificially incentivizes people to take on debt that they wouldn’t otherwise.
• During COVID-19, at some points unemployment benefits were greater than minimum wage, incentivizing people to rather stay home and not work than get a job, leading to reduced overall productivity in the economy and more printed dollars for benefits. In other words, it was a perfect recipe for inflation.
• The tax code gives deductions to “help” people. That might be true, but the real impact is incentivizing people to make decisions they wouldn’t have otherwise. For example, giving out tax deductions on children encourages having more kids. Tax deductions on childcare and preschools incentivizes dual-income households. Whether or not you like the outcomes, it’s clear that it’s government that’s encouraging these outcomes to happen.
• Tax incentives cause people to engage in behavior they wouldn’t otherwise (daycare+working mother, for example).
• Inflation means that the value of your money goes down over time, which encourages people to spend more today, when their money has a larger impact. (Milton Friedman described this as high living.)

Conclusion

The idea here is simple, and fully encapsulated in the title: incentives determine outcomes. If you want to know how to get a certain outcome from others, incentivize them to want that to happen. If you want to understand why people act in seemingly irrational ways, check their incentives. If you’re confused why leaders (and especially politicians) seem to engage in destructive behavior, check their incentives.

We can bemoan these realities all we want, but they are realities. While there are some people who have a solid internal moral and ethical code, and that internal code incentivizes them to behave against their externally-incentivized interests, those people are rare. And frankly, those people are self-defeating. People should take advantage of the incentives around them. Because if they don’t, someone else will.

(If you want a literary example of that last comment, see the horse in Animal Farm.)

How do we improve the world under these conditions? Make sure the incentives align well with the overall goals of society. To me, it’s a simple formula:

• Focus on free trade, value for value, as the basis of a society. In that system, people are always incentivized to provide value to other people.
• Reduce the size of bureaucracies and large groups of all kinds. The larger an organization becomes, the farther the consequences of decisions are from those who make them.
• And since the nature of human beings will be to try and create areas where they can control the incentive systems to their own benefits, make that as difficult as possible. That comes in the form of strict limits on government power, for example.

And even if you don’t want to buy in to this conclusion, I hope the rest of the content was educational, and maybe a bit entertaining!

@ 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

@ 5cb68b7a:b7cb67d5

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Act fast and secure your digital assets with cryptrecver.com.Losing access to your cryptocurrency can feel like losing a part of your future. Whether it’s due to a forgotten password, a damaged seed backup, or a simple mistake in a transfer, the stress can be overwhelming. Fortunately, cryptrecver.com is here to assist! With our expert-led recovery services, you can safely and swiftly reclaim your lost Bitcoin and other cryptocurrencies.

# Why Trust Crypt Recver? 🤝

🛠️ Expert Recovery Solutions\ At Crypt Recver, we specialize in addressing complex wallet-related issues. Our skilled engineers have the tools and expertise to handle:

• Partially lost or forgotten seed phrases
• Extracting funds from outdated or invalid wallet addresses
• Recovering data from damaged hardware wallets
• Restoring coins from old or unsupported wallet formats

You’re not just getting a service; you’re gaining a partner in your cryptocurrency journey.

🚀 Fast and Efficient Recovery\ We understand that time is crucial in crypto recovery. Our optimized systems enable you to regain access to your funds quickly, focusing on speed without compromising security. With a success rate of over 90%, you can rely on us to act swiftly on your behalf.

🔒 Privacy is Our Priority\ Your confidentiality is essential. Every recovery session is conducted with the utmost care, ensuring all processes are encrypted and confidential. You can rest assured that your sensitive information remains private.

💻 Advanced Technology\ Our proprietary tools and brute-force optimization techniques maximize recovery efficiency. Regardless of how challenging your case may be, our technology is designed to give you the best chance at retrieving your crypto.

Our Recovery Services Include: 📈

• Bitcoin Recovery: Lost access to your Bitcoin wallet? We help recover lost wallets, private keys, and passphrases.
• Transaction Recovery: Mistakes happen — whether it’s an incorrect wallet address or a lost password, let us manage the recovery.
• Cold Wallet Restoration: If your cold wallet is failing, we can safely extract your assets and migrate them into a secure new wallet.
• Private Key Generation: Lost your private key? Our experts can help you regain control using advanced methods while ensuring your privacy.

⚠️ What We Don’t Do\ While we can handle many scenarios, some limitations exist. For instance, we cannot recover funds stored in custodial wallets or cases where there is a complete loss of four or more seed words without partial information available. We are transparent about what’s possible, so you know what to expect

# Don’t Let Lost Crypto Hold You Back!

Did you know that between 3 to 3.4 million BTC — nearly 20% of the total supply — are estimated to be permanently lost? Don’t become part of that statistic! Whether it’s due to a forgotten password, sending funds to the wrong address, or damaged drives, we can help you navigate these challenges

🛡️ Real-Time Dust Attack Protection\ Our services extend beyond recovery. We offer dust attack protection, keeping your activity anonymous and your funds secure, shielding your identity from unwanted tracking, ransomware, and phishing attempts.

🎉 Start Your Recovery Journey Today!\ Ready to reclaim your lost crypto? Don’t wait until it’s too late!\ 👉 cryptrecver.com

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@ c1e9ab3a:9cb56b43

In an age where culture often precedes policy, a subtle yet potent mechanism may be at play in the shaping of American perspectives on gun ownership. Rather than directly challenging the Second Amendment through legislation alone, a more insidious strategy may involve reshaping the cultural and social norms surrounding firearms—by conditioning the population, starting at its most impressionable point: the public school system.

The Cultural Lever of Language

Unlike Orwell's 1984, where language is controlled by removing words from the lexicon, this modern approach may hinge instead on instilling fear around specific words or topics—guns, firearms, and self-defense among them. The goal is not to erase the language but to embed a taboo so deep that people voluntarily avoid these terms out of social self-preservation. Children, teachers, and parents begin to internalize a fear of even mentioning weapons, not because the words are illegal, but because the cultural consequences are severe.

The Role of Teachers in Social Programming

Teachers, particularly in primary and middle schools, serve not only as educational authorities but also as social regulators. The frequent argument against homeschooling—that children will not be "properly socialized"—reveals an implicit understanding that schools play a critical role in setting behavioral norms. Children learn what is acceptable not just academically but socially. Rules, discipline, and behavioral expectations are laid down by teachers, often reinforced through peer pressure and institutional authority.

This places teachers in a unique position of influence. If fear is instilled in these educators—fear that one of their students could become the next school shooter—their response is likely to lean toward overcorrection. That overcorrection may manifest as a total intolerance for any conversation about weapons, regardless of the context. Innocent remarks or imaginative stories from young children are interpreted as red flags, triggering intervention from administrators and warnings to parents.

Fear as a Policy Catalyst

School shootings, such as the one at Columbine, serve as the fulcrum for this fear-based conditioning. Each highly publicized tragedy becomes a national spectacle, not only for mourning but also for cementing the idea that any child could become a threat. Media cycles perpetuate this narrative with relentless coverage and emotional appeals, ensuring that each incident becomes embedded in the public consciousness.

The side effect of this focus is the generation of copycat behavior, which, in turn, justifies further media attention and tighter controls. Schools install security systems, metal detectors, and armed guards—not simply to stop violence, but to serve as a daily reminder to children and staff alike: guns are dangerous, ubiquitous, and potentially present at any moment. This daily ritual reinforces the idea that the very discussion of firearms is a precursor to violence.

Policy and Practice: The Zero-Tolerance Feedback Loop

Federal and district-level policies begin to reflect this cultural shift. A child mentioning a gun in class—even in a non-threatening or imaginative context—is flagged for intervention. Zero-tolerance rules leave no room for context or intent. Teachers and administrators, fearing for their careers or safety, comply eagerly with these guidelines, interpreting them as moral obligations rather than bureaucratic policies.

The result is a generation of students conditioned to associate firearms with social ostracism, disciplinary action, and latent danger. The Second Amendment, once seen as a cultural cornerstone of American liberty and self-reliance, is transformed into an artifact of suspicion and anxiety.

Long-Term Consequences: A Nation Re-Socialized

Over time, this fear-based reshaping of discourse creates adults who not only avoid discussing guns but view them as morally reprehensible. Their aversion is not grounded in legal logic or political philosophy, but in deeply embedded emotional programming begun in early childhood. The cultural weight against firearms becomes so great that even those inclined to support gun rights feel the need to self-censor.

As fewer people grow up discussing, learning about, or responsibly handling firearms, the social understanding of the Second Amendment erodes. Without cultural reinforcement, its value becomes abstract and its defenders marginalized. In this way, the right to bear arms is not abolished by law—it is dismantled by language, fear, and the subtle recalibration of social norms.

Conclusion

This theoretical strategy does not require a single change to the Constitution. It relies instead on the long game of cultural transformation, beginning with the youngest minds and reinforced by fear-driven policy and media narratives. The outcome is a society that views the Second Amendment not as a safeguard of liberty, but as an anachronism too dangerous to mention.

By controlling the language through social consequences and fear, a nation can be taught not just to disarm, but to believe it chose to do so freely. That, perhaps, is the most powerful form of control of all.

@ 662f9bff:8960f6b2

Issue 11 already - I will be including numbers going forward to make past letters easier to find and refer to. The past two weeks I have been on vacation - my first real vacation is a couple of years. Monday I am back to work for a bit. I have decided to work from here rather than subject myself to more international travel - we are still refugees from the insanity in Hong Kong. We really have been relaxing and enjoying life on the island. Levada hikes and Jeep tours!

220415 Jeep tour - Cabo Girao, Porto Moniz, Fanal and Ponto do Sol - Madeira

We had plenty of time to relax and enjoy life. Madeira is a fantastic place to visit with lots to see and do and even more weather!. I did think that HK was mountainous - but Madeira is next level! Portuguese is also something else; have not yet made much progress but we did not try much and English will generally suffice. As you see in the video above, Madeira is getting serious about attracting Digital Nomads and as you will see below they have forward-thinking local government - exactly as foreseen in my top book pick - The Sovereign Indvidual.

I did get to read quite a lot of interesting books and material - will be sharing insights below and going forward. Happy to discuss too - that offer is still open.

Among other things I got to appreciate more the Apple ecosystem and the seamless integration between Mac, iPhone and iPad - in combination with working with no/limited WiFi and using tethering from my CalyxOS Pixel. Strong privacy is important and Apple scores reasonably well - though you will want to take some additional precautions, I have been enjoying reading my kindle on all platforms and listening to the audio-books with reading-location syncing (fantastic). I am considering sharing tips and tricks on secure setups as well as aspects that I find particularly useful - do talk to me if you have questions or suggestions.

Bitcoin BTC

Given how important Bitcoin already is and will become I think it is right that I should include a section here with relevant news, insights and provocations to discuss. Note that Bitcoin is different from "Crypto"; do not get them mixed up!

• Madeira is not just trying to be friendly to digital nomads - photo above and Ponto do Sol. Last week the President of the Government of Madeira, Miguel Albuquerque attended the Miami conference to announce that his government will “work to create a fantastic environment for bitcoin in Madeira.” This is part of the Game Theory of Bitcoin Adoption by Nation States

• Announcing Taro, Multi-Asset Bitcoin & Lightning** **- this has potential to be something really big. It complements, and may even be better than, Jack Mallers' Strike. Their Blog post is here and the Wiki with the detailed specification is here.

• Michael Saylor is one of today's pre-eminent thinkers and communicators. Listen and learn from his revcent interview with Lex Friedman.

• SLP365 Anita Posch - Bitcoin For Fairness in Zimbabwe and Zambia — A great interview by Stephan Livera. Key takeaways: Learn how to use it before you really need it. if it works in Zimbabwe and Namibia it will work anywhere It’s still early and governments will give no help; rather they will be busy putting sticks in the wheels and sand in the gears…

• For those who look for education on Bitcoin - a starting point can be Anita Posch's The Art of (L)earning Bitcoin with many useful resources linked.

Discovery of the week - Obsidian

For years I have been an avid notetaker. I caught the bug when I did Electronic Engineering at Southampton University and we had to keep a "lab book". Ever since then in my professional work I kept a notebook and took daily notes. Recently this evolved into taking notes on computer. With the arrival of online working and screen-sharing such notes can be very useful and this unleased new value in note-taking.

For personal notes I found great value with Apple Notes - a tool that has improved dramatically in recent years and works perfectly on Mac, iPhone and iPad. However, like many notetakers I often felt that I was "missing a trick". The reality is that searching and retrieval is not as easy as you want it to be and it's hard to reassemble and repurpose your collected information into new output.

In recent years I have considered using several tools but found none of them compelling enough to put in the time to learn and adopt. There is also the fear of "lock in" and endless subscriptions to pay - as anyone who has used Evernote will know!

Big thank you to Rachel for this one. She did get me thinking and encouraged me to give Obsidian another try - I had looked at it last year but it felt overwhelming compared to Apple Notes - I could never have imagined how great it could be!

The absolute best overview of Obsidian and how to use it is FromSergio - his playlist is required watching. Particular highlights:

• Kindle Highlights - this is a superbly useful feature that normally you can only get with a subscription service - do buy the developer a coffee!

• No Lock-in - your files are simple markdown and you have full control

• Works perfectly on Mac and iPhones using iCloud - no annoying sync subscription to pay for

• It's free for personal use - no payment or annoying subscription

• Lots of high quality training material readily available and a great community of people to help you

Reading

• Empires Rise and Fall this extracts and summarises from John Glubb's paper of nearly 100 years ago, The Fate of Empires - I think you call that foresight! I do identify with his frustrations about how history has been taught considering how important it is to learn from past generations.

• The Sovereign Individual is required reading for everyone - I did dip back into it a few times over the last week or so, making Kindle highlights that magically sync into Obsidian - how great is that! If you read nothing else, read chapter 7.

• From Paris to Karachi – Regime Change is In the Air - Tom Luongo is a most interesting character and he does speak his mind. Read and consider. You might prefer to listen to him discussing with Marty.

• Aleks Svetski: The Remnant, The Parasite & The Masses - inspired by the incredible 1930’s essay by Albert J Nock; Isaiah’s Job. Aleks discusses this in his Wake Up podcast - also recommended.

• In my TBR queue (to be read): Atlas Shrugged by Ayn Rand - I must admit, I am in intrigued by Odolena's review in addition to Aleks' recommendation.

• I also think that I need to restart on (and finish) Foundation by Isaac Asimov - after watching Odolena's review of it!

• ...and I need to add Meditations by Marcus Aurelius - again inspired by Odolena's review and I have seen others recommend it too!

Watching and Listening

• Joe Blogs: Who is BUYING Russian Oil Now? Can Europe really change SUPPLIERS & are SANCTIONS Working? - do stop and think - in who's name are the governments implementing all these extreme measures - go back and re-read section "So what can you do about it?" in issue 9

• Rupert Murdochizing The Internet — The Cyberlaw Podcast — whether you agree with him or not Stewart Baker is just the best podcast provocateur!

• AntiWarhol, Culture Creation, & The Pop Art Syndicate — One of The Higherside Chats - perhaps this might open your mind and make you question some things. The rabbit hole goes deep.

• How Britain's Bankers Made Billions From The End Of Empire. At the demise of British Empire, City of London financial interests created a web of offshore secrecy jurisdictions that captured wealth from across the globe and hid it behind obscure financial structures in a web of offshore islands.

• Secret City - A film about the City of London, the Corporation that runs it.

• How things get Re-Priced when a Currency Fails — An important explainer from Joe Brown of The Heresy Financial Podcast — keep an eye out for signs!

• E76: Elon vs. Twitter — the All-In Podcast. I do not agree with all these boyz say but it is interesting to listen to see how the Silicon Valley types think. David Sacks nails it, and Chamath is not far behind! If you were in any doubt as to how corrupt things are this should put you right!

For those who prefer a structured reading list, check References

That's it!

No one can be told what The Matrix is.\ You have to see it for yourself.**

Do share this newsletter with any of your friends and family who might be interested.

You can also email me at: LetterFrom@rogerprice.me

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@ 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.

---

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

@ 3f770d65:7a745b24

I’ve been using Notedeck for several months, starting with its extremely early and experimental alpha versions, all the way to its current, more stable alpha releases. The journey has been fascinating, as I’ve had the privilege of watching it evolve from a concept into a functional and promising tool.

In its earliest stages, Notedeck was raw—offering glimpses of its potential but still far from practical for daily use. Even then, the vision behind it was clear: a platform designed to redefine how we interact with Nostr by offering flexibility and power for all users.

I'm very bullish on Notedeck. Why? Because Will Casarin is making it! Duh! 😂

Seriously though, if we’re reimagining the web and rebuilding portions of the Internet, it’s important to recognize the potential of Notedeck. If Nostr is reimagining the web, then Notedeck is reimagining the Nostr client.

Notedeck isn’t just another Nostr app—it’s more a Nostr browser that functions more like an operating system with micro-apps. How cool is that?

Much like how Google's Chrome evolved from being a web browser with a task manager into ChromeOS, a full blown operating system, Notedeck aims to transform how we interact with the Nostr. It goes beyond individual apps, offering a foundation for a fully integrated ecosystem built around Nostr.

As a Nostr evangelist, I love to scream INTEROPERABILITY and tout every application's integrations. Well, Notedeck has the potential to be one of the best platforms to showcase these integrations in entirely new and exciting ways.

Do you want an Olas feed of images? Add the media column.

Do you want a feed of live video events? Add the zap.stream column.

Do you want Nostr Nests or audio chats? Add that column to your Notedeck.

Git? Email? Books? Chat and DMs? It's all possible.

Not everyone wants a super app though, and that’s okay. As with most things in the Nostr ecosystem, flexibility is key. Notedeck gives users the freedom to choose how they engage with it—whether it’s simply following hashtags or managing straightforward feeds. You'll be able to tailor Notedeck to fit your needs, using it as extensively or minimally as you prefer.

Notedeck is designed with a local-first approach, utilizing Nostr content stored directly on your device via the local nostrdb. This will enable a plethora of advanced tools such as search and filtering, the creation of custom feeds, and the ability to develop personalized algorithms across multiple Notedeck micro-applications—all with unparalleled flexibility.

Notedeck also supports multicast. Let's geek out for a second. Multicast is a method of communication where data is sent from one source to multiple destinations simultaneously, but only to devices that wish to receive the data. Unlike broadcast, which sends data to all devices on a network, multicast targets specific receivers, reducing network traffic. This is commonly used for efficient data distribution in scenarios like streaming, conferencing, or large-scale data synchronization between devices.

In a local first world where each device holds local copies of your nostr nodes, and each device transparently syncs with each other on the local network, each node becomes a backup. Your data becomes antifragile automatically. When a node goes down it can resync and recover from other nodes. Even if not all nodes have a complete collection, negentropy can pull down only what is needed from each device. All this can be done without internet.

-Will Casarin

In the context of Notedeck, multicast would allow multiple devices to sync their Nostr nodes with each other over a local network without needing an internet connection. Wild.

Notedeck aims to offer full customization too, including the ability to design and share custom skins, much like Winamp. Users will also be able to create personalized columns and, in the future, share their setups with others. This opens the door for power users to craft tailored Nostr experiences, leveraging their expertise in the protocol and applications. By sharing these configurations as "Starter Decks," they can simplify onboarding and showcase the best of Nostr’s ecosystem.

Nostr’s “Other Stuff” can often be difficult to discover, use, or understand. Many users doesn't understand or know how to use web browser extensions to login to applications. Let's not even get started with nsecbunkers. Notedeck will address this challenge by providing a native experience that brings these lesser-known applications, tools, and content into a user-friendly and accessible interface, making exploration seamless. However, that doesn't mean Notedeck should disregard power users that want to use nsecbunkers though - hint hint.

For anyone interested in watching Nostr be developed live, right before your very eyes, Notedeck’s progress serves as a reminder of what’s possible when innovation meets dedication. The current alpha is already demonstrating its ability to handle complex use cases, and I’m excited to see how it continues to grow as it moves toward a full release later this year.

@ 846ebf79:fe4e39a4

The next iteration is coming

We're busy racing to the finish line, for the #Alexandria Gutenberg beta. Then we can get the bug hunt done, release v0.1.0, and immediately start producing the first iteration of the Euler (v0.2.0) edition.

While we continue to work on fixing the performance issues and smooth rendering on the Reading View, we've gone ahead and added some new features and apps, which will be rolled-out soon.

The biggest projects this iteration have been:

• the HTTP API for the #Realy relay from nostr:npub1fjqqy4a93z5zsjwsfxqhc2764kvykfdyttvldkkkdera8dr78vhsmmleku,
• implementation of a publication tree structure by nostr:npub1wqfzz2p880wq0tumuae9lfwyhs8uz35xd0kr34zrvrwyh3kvrzuskcqsyn,
• and the Great DevOps Migration of 2025 from the ever-industrious Mr. nostr:npub1qdjn8j4gwgmkj3k5un775nq6q3q7mguv5tvajstmkdsqdja2havq03fqm7.

All are backend-y projects and have caused a major shift in process and product, on the development team's side, even if they're still largely invisible to users.

Another important, but invisible-to-you change is that nostr:npub1ecdlntvjzexlyfale2egzvvncc8tgqsaxkl5hw7xlgjv2cxs705s9qs735 has implemented the core bech32 functionality (and the associated tests) in C/C++, for the #Aedile NDK.

On the frontend:

nostr:npub1636uujeewag8zv8593lcvdrwlymgqre6uax4anuq3y5qehqey05sl8qpl4 is currently working on the blog-specific Reading View, which allows for multi-npub or topical blogging, by using the 30040 index as a "folder", joining the various 30041 articles into different blogs. She has also started experimenting with categorization and columns for the landing page.

nostr:npub1l5sga6xg72phsz5422ykujprejwud075ggrr3z2hwyrfgr7eylqstegx9z revamped the product information pages, so that there is now a Contact page (including the ability to submit a Nostr issue) and an About page (with more product information, the build version displayed, and a live #GitCitadel feed).

We have also allowed for discrete headings (headers that aren't section headings, akin to the headers in Markdown). Discrete headings are formatted, but not added to the ToC and do not result in a section split by Asciidoc processors.

We have added OpenGraph metadata, so that hyperlinks to Alexandria publications, and other events, display prettily in other apps. And we fixed some bugs.

The Visualisation view has been updated and bug-fixed, to make the cards human-readable and closeable, and to add hyperlinks to the events to the card-titles.

We have added support for the display of individual wiki pages and the integration of them into 30040 publications. (This is an important feature for scientists and other nonfiction writers.)

We prettified the event json modal, so that it's easier to read and copy-paste out of.

The index card details have been expanded and the menus on the landing page have been revamped and expanded. Design and style has been improved, overall.

Project management is very busy

Our scientific adviser nostr:npub1m3xdppkd0njmrqe2ma8a6ys39zvgp5k8u22mev8xsnqp4nh80srqhqa5sf is working on the Euler plans for integrating features important for medical researchers and other scientists, which have been put on the fast track.

Next up are:

• a return of the Table of Contents
• kind 1111 comments, highlights, likes
• a prototype social feed for wss://theforest.nostr1.com, including long-form articles and Markdown rendering
• compose and edit of publications
• a search field
• the expansion of the relay set with the new relays from nostr:npub12262qa4uhw7u8gdwlgmntqtv7aye8vdcmvszkqwgs0zchel6mz7s6cgrkj, including some cool premium features
• full wiki functionality and disambiguation pages for replaceable events with overlapping d-tags
• a web app for mass-uploading and auto-converting PDFs to 30040/41 Asciidoc events, that will run on Realy, and be a service free for our premium relay subscribers
• ability to subscribe to the forest with a premium status
• the book upload CLI has been renamed and reworked into the Sybil Test Utility and that will get a major release, covering all the events and functionality needed to test Euler
• the #GitRepublic public git server project
• ....and much more.

Thank you for reading and may your morning be good.

@ 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.

@ ffbcb706:b0574044

Just a client name test

@ c1e9ab3a:9cb56b43

Reanalysis: Could the Great Pyramid Function as an Ammonia Generator Powered by a 25GW Breeder Reactor?

Introduction

The Great Pyramid of Giza has traditionally been considered a tomb or ceremonial structure. Yet an intriguing alternative hypothesis suggests it could have functioned as a large-scale ammonia generator, powered by a high-energy source, such as a nuclear breeder reactor. This analysis explores the theoretical practicality of powering such a system using a continuous 25-gigawatt (GW) breeder reactor.

The Pyramid as an Ammonia Generator

Producing ammonia (NH₃) from atmospheric nitrogen (N₂) and hydrogen (H₂) requires substantial energy. Modern ammonia production (via the Haber-Bosch process) typically demands high pressure (~150–250 atmospheres) and temperatures (~400–500°C). However, given enough available energy, it is theoretically feasible to synthesize ammonia at lower pressures if catalysts and temperatures are sufficiently high or if alternative electrochemical or plasma-based fixation methods are employed.

Theoretical System Components:

1. High Heat Source (25GW breeder reactor)
   A breeder reactor could consistently generate large amounts of heat. At a steady state of approximately 25GW, this heat source would easily sustain temperatures exceeding the 450°C threshold necessary for ammonia synthesis reactions, particularly if conducted electrochemically or catalytically.

2. Steam and Hydrogen Production
   The intense heat from a breeder reactor can efficiently evaporate water from subterranean channels (such as those historically suggested to exist beneath the pyramid) to form superheated steam. If coupled with high-voltage electrostatic fields (possibly in the millions of volts), steam electrolysis into hydrogen and oxygen becomes viable. This high-voltage environment could substantially enhance electrolysis efficiency.

3. Nitrogen Fixation (Ammonia Synthesis)
   With hydrogen readily produced, ammonia generation can proceed. Atmospheric nitrogen, abundant around the pyramid, can combine with the hydrogen generated through electrolysis. Under these conditions, the pyramid's capstone—potentially made from a catalytic metal like osmium, platinum, or gold—could facilitate nitrogen fixation at elevated temperatures.

Power Requirements and Energy Calculations

A thorough calculation of the continuous power requirements to maintain this system follows:

• Estimated Steady-state Power: ~25 GW of continuous thermal power.
• Total Energy Over 10,000 years: """ Energy = 25 GW × 10,000 years × 365.25 days/year × 24 hrs/day × 3600 s/hr ≈ 7.9 × 10²¹ Joules """

Feasibility of a 25GW Breeder Reactor within the Pyramid

A breeder reactor capable of sustaining 25GW thermal power is physically plausible—modern commercial reactors routinely generate 3–4GW thermal, so this is within an achievable engineering scale (though certainly large by current standards).

Fuel Requirements:

• Each kilogram of fissile fuel (e.g., U-233 from Thorium-232) releases ~80 terajoules (TJ) or 8×10¹³ joules.
• Considering reactor efficiency (~35%), one kilogram provides ~2.8×10¹³ joules usable energy: """ Fuel Required = 7.9 × 10²¹ J / 2.8 × 10¹³ J/kg ≈ 280,000 metric tons """
• With a breeding ratio of ~1.3: """ Initial Load = 280,000 tons / 1.3 ≈ 215,000 tons """

Reactor Physical Dimensions (Pebble Bed Design):

• King’s Chamber size: ~318 cubic meters.
• The reactor core would need to be extremely dense and highly efficient. Advanced engineering would be required to concentrate such power in this space, but it is within speculative feasibility.

Steam Generation and Scaling Management

Key methods to mitigate mineral scaling in the system: 1. Natural Limestone Filtration 2. Chemical Additives (e.g., chelating agents, phosphate compounds) 3. Superheating and Electrostatic Ionization 4. Electrostatic Control

Conclusion and Practical Considerations

Yes, the Great Pyramid could theoretically function as an ammonia generator if powered by a 25GW breeder reactor, using: - Thorium or Uranium-based fertile material, - Sustainable steam and scaling management, - High-voltage-enhanced electrolysis and catalytic ammonia synthesis.

While speculative, it is technologically coherent when analyzed through the lens of modern nuclear and chemical engineering.

See also: nostr:naddr1qqxnzde5xymrgvekxycrswfeqy2hwumn8ghj7am0deejucmpd3mxztnyv4mz7q3qc856kwjk524kef97hazw5e9jlkjq4333r6yxh2rtgefpd894ddpsxpqqqp65wun9c08