@ 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.

@ cae03c48:2a7d6671

Bitcoin Magazine

Nigel Farage To Speak At Bitcoin 2025 Conference

We are pleased to announce that Nigel Farage will join the speaker lineup at the Bitcoin Conference 2025 in Las Vegas. A defining figure in modern European politics, Farage led the Brexit movement that took the United Kingdom out of the EU, reshaping global conversations around national sovereignty. He is the founder and current leader of Reform UK, a rising political force now polling competitively, positioning him as a serious contender for to be the next UK Prime Minister.

A former Member of the European Parliament for over 20 years, Farage built his reputation challenging supranational institutions and unelected power—values that resonate deeply with the Bitcoin community. He also hosts GB News, where he critiques monetary policy, CBDCs, and digital surveillance. An outspoken advocate for financial sovereignty and free speech, Farage previously appeared at Bitcoin Amsterdam 2023 in a conversation with Peter McCormack. In 2025, he returns for a fireside with Bitcoin Magazine’s Frank Corva, whose sharp political interviews are helping shape Bitcoin’s place in global affairs.

About Bitcoin 2025

The excitement is building as the world’s largest Bitcoin conference approaches, Bitcoin 2025. Set to take place in Las Vegas from May 27-29, this premier event is anticipated to draw Bitcoin enthusiasts, industry leaders, and innovators from all over the globe.

Be part of the revolution! Come experience the cultural movement that’s the Bitcoin Conference – a landmark event with wealth of opportunities for networking and learning. In 2025, Bitcoin takes over Las Vegas, uniting builders, leaders, and believers in the world’s most resilient monetary network.

New in 2025: Code & Country launches on Industry Day, bringing together policymakers, technologists, and industry leaders for a full day of focused collaboration.

The aim: strengthen Bitcoin’s role in national strategy, regulatory clarity, and technological sovereignty. This marks a new era where Bitcoin’s protocol and geopolitical potential intersect more directly than ever before.

Highlights Include

• Keynote Speakers: Renowned experts and visionaries will share their insights and predictions for the future of digital currency.
• Workshops and Panels: Attendees can participate in hands-on workshops and panel discussions covering a wide array of topics, from technical details to practical applications in various industries.
• Exhibition Hall: The exhibition will showcase art, cutting-edge products and services from top companies in the bitcoin ecosystem.
• Networking Opportunities: With thousands of attendees expected, Bitcoin 2025 offers unparalleled opportunities for networking with peers, potential partners, and thought leaders.

Keynote Speakers

The conference is set to feature an impressive lineup of speakers, including leading Bitcoin developers, experts, as well as influential figures from the financial sector. Topics range from the latest advancements to regulatory updates and investment strategies.

1. JD Vance, Vice President Vance will become the first sitting vice president in the history of the United States to publicly voice his support for Bitcoin as he addresses the audience in Las Vegas.
2. Ross Ulbricht, Freedom Advocate – Founder of the Silk Road marketplace, recently released by President Donald Trump from serving a double life sentence. His story has become emblematic of the clash between personal liberty, Bitcoin, and the state.
3. Eric Trump & Donald Trump Jr, Both figures bring a bold voice to the conversation around Capitalism, Bitcoin, freedom, and economic sovereignty.
4. Cameron & Tyler Winklevoss, Co-Founders of Gemini – Early Bitcoin adopters and founders of the regulated exchange Gemini.
5. David Sacks, White House AI & Crypto Czar – Former PayPal COO and venture capitalist, now serving as the White House’s senior advisor on AI and cryptocurrency policy, leading national efforts on stablecoin legislation and digital asset strategy.
6. Bryan Johnson, Founder of Project Blueprint – Tech entrepreneur and longevity researcher known for reversing his biological age and challenging fiat-era assumptions about health, time, and human potential.

Past Conferences in the USA

– 2021 Miami: Where President Nayib Bukele revealed plans for El Salvador to adopt Bitcoin as legal tender, making history live on stage. Attendance: 11,000
– 2022 Miami: Where Michael Saylor delivered a landmark address on corporate Bitcoin strategy and announced additional MicroStrategy purchases. Attendance: 26,000
– 2023 Miami: Where Secretary Robert F. Kennedy Jr. became the first U.S. presidential candidate to speak at a Bitcoin conference, addressing financial freedom and civil liberties. Attendance: 15,000
– 2024 Nashville: Highlights include President Donald J. Trump’s appearance, where he voiced support for Bitcoin mining and national monetary sovereignty. Attendance: 22,000

Join Us in Las Vegas

• Date: May 27-29, 2025
• Venue: The Venetian, Las Vegas, NV, USA  
• Tickets: https://b.tc/conference/2025
• Get a free General Admission ticket when you deposit $200 on eToro – while supplies last!

This post Nigel Farage To Speak At Bitcoin 2025 Conference first appeared on Bitcoin Magazine and is written by Conor Mulcahy.

@ 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 .

@ 57c631a3:07529a8e

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.**

Fill out the survey

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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

@ 26769dac:498e333b

Here's to the ones who can\ Feel there cause\ Surrender\ Change their ways\ But keep their fire\ And never give up

We will transform this world\ Restructuring\ One belief at a time

@ 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.

@ 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

@ 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.

@ 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. 🫡

@ 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.

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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.

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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.

@ 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.

@ 9ca447d2:fbf5a36d

Ukraine is reportedly about to make history by becoming the first country in Europe to have a national bitcoin reserve, a move aimed at strengthening its economy during the war with Russia.

The plan is still in its early stages and Binance, the world’s largest digital asset exchange, is involved.

According to Incrypted, a Ukrainian digital asset news outlet, Ukrainian MP Yaroslav Zheleznyak, First Deputy Chairman of the Finance, Tax and Customs Policy Committee, confirmed that the draft law is almost ready and will be submitted to the parliament soon.

“We will soon submit a draft law from the industry allowing the creation of crypto reserves,” Zheleznyak told Incrypted.

Earlier discussions mentioned a broader “crypto reserve” but the current plan is focused on bitcoin as a strategic reserve asset. If approved, the law will allow the National Bank of Ukraine to hold bitcoin as part of the country’s official reserves.

Since the war with Russia started, Ukraine has become one of the most bitcoin-friendly countries in the world.

In 2022 and 2023 Ukraine raised over $100 million in digital asset donations for defense and humanitarian purposes. A report from Chainalysis ranked the country among the top 10 countries for bitcoin adoption globally.

A rather vague and unconfirmed report by BitcoinTreasuries.net states that “holdings of public officials” currently stand at 46,351 BTC.

Ukraine bitcoin holdings as reported by BitcoinTreasuries

Supporters of the bitcoin reserve say it will help Ukraine protect its economy from war-related instability, inflation and currency depreciation.

By going digital, the government is looking for modern tools to strengthen its financial system in uncertain times. This is not just about storing bitcoin, it’s about establishing clear laws for digital assets ownership, management and use.

Binance is playing an advisory role in the project. The company has worked with Ukraine on digital asset education and regulations in the past and is now helping to shape the legal framework for the bitcoin reserve.

Kirill Khomyakov, Binance’s regional head for Central and Eastern Europe, Central Asia and Africa, confirmed the company’s support, but warned it won’t be fast or easy.

“The creation of such a reserve will require significant changes in legislation,” Khomyakov said. “Another positive aspect is that this initiative will likely lead to greater clarity in the regulation of crypto assets in Ukraine.”

Despite the support from some officials, there are legal hurdles. Ukrainian laws don’t allow bitcoin to be in the official reserves. So the government needs to pass new laws for it to happen.

Efforts to legalize bitcoin in general have been going on for years. In 2021, a draft law on virtual assets was approved by Finance Committee but was withdrawn after the President’s Office and financial regulators objected.

Up to now, over 80 amendments have been proposed, showing how complicated the process is.

The Ministry of Digital Transformation is leading a larger reform that could introduce rules for digital asset exchanges, tax laws and anti-money laundering standards in the country.

Ukraine isn’t alone in considering bitcoin as a national reserve asset. In March 2025, the U.S. announced its own Strategic Bitcoin Reserve using BTC seized in criminal cases.

@ f240be2b:00c761ba

Wirtschaftswunder werden oft als mysteriöse, unvorhersehbare Phänomene dargestellt – als wären sie glückliche Zufälle oder das Ergebnis genialer Planungen. Bei näherer Betrachtung offenbart sich jedoch ein grundlegendes Muster: Diese vermeintlichen "Wunder" sind keine übernatürlichen Ereignisse, sondern das natürliche Ergebnis wirtschaftlicher Freiheit. Die Erfolgsgeschichten verschiedener Länder bestätigen diese These und zeigen, dass Wohlstand entsteht, wenn Menschen die Freiheit haben, zu handeln, zu produzieren und zu innovieren.

Das deutsche Wirtschaftswunder

Nach dem Zweiten Weltkrieg lag Deutschland in Trümmern. Die Industrieproduktion war auf ein Viertel des Vorkriegsniveaus gesunken, und Millionen Menschen lebten in Armut. Doch innerhalb weniger Jahre erlebte Westdeutschland einen beispiellosen wirtschaftlichen Aufschwung, der als "Wirtschaftswunder" in die Geschichte einging.

Der Wandel begann mit Ludwig Erhards mutiger Währungsreform und Preisfreigabe im Jahr 1948. Erhard, damals Direktor der Wirtschaftsverwaltung, schaffte Preiskontrollen ab und führte die Deutsche Mark ein. Diese Maßnahmen wurden von Besatzungsmächten und deutschen Sozialisten skeptisch betrachtet und waren zunächst unpopulär. Doch die Ergebnisse sprachen für sich: Über Nacht füllten sich die Ladenregale wieder, und die Schwarzmärkte verschwanden.

Das Kernprinzip war einfach: Erhard gab den Menschen ihre wirtschaftliche Freiheit zurück. Er schuf einen stabilen Rechtsrahmen, reduzierte staatliche Eingriffe und förderte den freien Wettbewerb. Die Sozialisten bekämpften diese Entwicklung von Anfang an, deuteten diese jedoch im Nachhinein als “soziale Marktwirtschaft” um, diese Lüge verbreiten sie noch heute sehr erfolgreich.

Die freie Marktwirtschaft erlaubte es den Deutschen, ihre unternehmerischen Fähigkeiten zu entfalten und ihre zerstörte Wirtschaft wieder aufzubauen.\ Das Ergebnis: Zwischen 1950 und 1960 wuchs das westdeutsche BIP um mehr als 8% jährlich. Die Arbeitslosigkeit sank von 11% auf unter 1%, und Deutschland wurde zu einer der führenden Exportnationen der Welt. Was als "Wunder" bezeichnet wurde, war tatsächlich die natürliche Konsequenz wiederhergestellter wirtschaftlicher Freiheit.

Chiles wirtschaftliche Transformation

Chile bietet ein weiteres eindrucksvolles Beispiel. In den frühen 1970er Jahren litt das Land unter einer Hyperinflation von 700%, einem schrumpfenden BIP und zunehmender Armut. Die Transformation begann in den späten 1970er Jahren mit tiefgreifenden Wirtschaftsreformen.

Die chilenische Regierung privatisierte Staatsunternehmen, öffnete Märkte für internationalen Handel, schuf ein stabiles Finanzsystem und führte ein innovatives Rentensystem ein. Während andere lateinamerikanische Länder mit protektionistischen Maßnahmen experimentierten, entschied sich Chile für wirtschaftliche Freiheit.

Die Ergebnisse waren beeindruckend: Zwischen 1975 und 2000 verdreifachte sich Chiles Pro-Kopf-Einkommen. Die Armutsquote sank von 45% auf unter 10%. Heute hat Chile das höchste Pro-Kopf-Einkommen in Südamerika und eine der stabilsten Wirtschaften der Region.

Mit einer gewissen Melancholie müssen wir beobachten, wie die hart erkämpften Errungenschaften Chiles allmählich in den Schatten der Vergänglichkeit gleiten. Was einst als Leuchtturm wirtschaftlicher Transformation strahlte, wird nun von den Nebeln der kollektiven Amnesie umhüllt. In dieser Dämmerung der Erinnerung finden interventionistische Strömungen erneut fruchtbaren Boden.

Dieses Phänomen ist nicht auf Chile beschränkt. Auch in Deutschland verblasst die Erinnerung an die transformative Kraft der freien Marktwirtschaft. Die Geschichte wird umgedichtet, in der wirtschaftliche Freiheit als unbarmherziger Kapitalismus karikiert wird, während staatliche Intervention als einziger Weg zur sozialen Gerechtigkeit glorifiziert wird.

Chinas große Öffnung

Im Reich der Mitte vollzog sich die vielleicht dramatischste wirtschaftliche Metamorphose unserer Zeit. Nach Jahrzehnten der Isolation und planwirtschaftlicher Starrheit öffnete China unter Deng Xiaoping vorsichtig die Tore zur wirtschaftlichen Freiheit.

Die Transformation begann in den Reisfeldern, wo Bauern erstmals seit Generationen über ihre eigene Ernte bestimmen durften. Sie setzte sich fort in den pulsierenden Sonderwirtschaftszonen, wo unternehmerische Energie auf globale Märkte traf. 

Das Ergebnis war atemberaubend: Fast vier Jahrzehnte mit durchschnittlich 10 Prozent Wirtschaftswachstum jährlich – eine beispiellose Leistung in der Wirtschaftsgeschichte. Mehr als 800 Millionen Menschen überwanden die Armut und fanden den Weg in die globale Mittelschicht. Selbst die partielle Einführung wirtschaftlicher Freiheiten entfesselte eine Produktivität, die die Welt veränderte.

Die zeitlose Lektion

Das Geheimnis wirtschaftlicher Erneuerung liegt nicht in komplexen Theorien oder staatlichen Eingriffen, sondern in der einfachen Weisheit, Menschen die Freiheit zu geben, ihre Träume zu verwirklichen. Wenn wir von "Wirtschaftswundern" sprechen, verkennen wir die wahre Natur dieser Transformationen.

Sie sind keine mysteriösen Anomalien, sondern vielmehr Bestätigungen eines zeitlosen Prinzips: In der fruchtbaren Erde wirtschaftlicher Freiheit blüht der menschliche Erfindungsgeist. Diese Erkenntnis ist keine ideologische Position, sondern eine durch die Geschichte vielfach bestätigte Wahrheit.

Die Lektion dieser Erfolgsgeschichten ist sowohl schlicht als auch tiefgründig: Der Weg zu Wohlstand und menschlicher Entfaltung führt über die Anerkennung und den Schutz wirtschaftlicher Freiheiten. In dieser Erkenntnis liegt vielleicht das wahre Wunder – die beständige Kraft einer einfachen Idee, die immer wieder Leben und Hoffnung in die dunkelsten wirtschaftlichen Landschaften bringt.

Der aufsteigende Stern des Südens

Jenseits der Andenkette, wo Argentinien und Chile ihre lange Grenze teilen, entfaltet sich eine neue Erfolgsgeschichte. Mit mutigen Reformen und einer Rückbesinnung auf wirtschaftliche Freiheit erwacht dieses Land mit viel Potenzial aus seinem langen Schlummer. Was wir beobachten, ist nichts weniger als die Geburt eines neuen südamerikanischen Wirtschaftswunders – geboren aus der Erkenntnis, dass Wohlstand nicht verteilt, sondern erschaffen wird.

@ 9223d2fa:b57e3de7

480 steps

@ 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!

@ 975e4ad5:8d4847ce

Selfishness as Bitcoin’s Engine

Bitcoin, created by Satoshi Nakamoto, operates on a clear mechanism: miners use computational power to solve complex mathematical puzzles, verifying transactions on the network. In return, they earn rewards in Bitcoin. This is pure self-interest—miners want to maximize their profits. But while pursuing personal gain, they inadvertently maintain the entire system. Each new block added to the blockchain makes the network more stable and resilient against attacks. The more miners join, the more decentralized the system becomes, rendering it nearly impossible to manipulate.

This mechanism is brilliant because it taps into human nature—the desire for personal gain—to create something greater. Bitcoin doesn’t rely on altruism or good intentions. It relies on rational self-interest, which drives individuals to act in their own favor, ultimately benefiting the entire community.

The World Works the Same Way

This concept isn’t unique to Bitcoin. The world is full of examples where personal interest leads to collective progress. When an entrepreneur creates a new product, they do so to make money, but in the process, they create jobs, advance technology, and improve people’s lives. When a scientist works on a breakthrough, they may be driven by fame or financial reward, but the result is often a discovery that changes the world. Even in everyday life, when we buy products or services for our own convenience, we support the economy and encourage innovation.

Of course, self-interest doesn’t always lead to positive outcomes. Technologies created with good intentions can be misused—for example, in wars or for fraud. But even these negative aspects don’t halt progress. Competition and the drive for survival push humanity to find solutions, learn from mistakes, and keep moving forward. This is the cycle of development: individual self-interest fuels innovations that make the world more technological and connected.

Nature and Bitcoin: The DNA Parallel

To understand this mechanism, let’s look to nature. Consider the cells in a living organism. Each cell operates independently, following the instructions encoded in its DNA—a code that dictates its actions. The cell doesn’t “know” about the entire body, nor does it care. It simply strives for its own survival, performing its functions. But when billions of cells work together, following this code, they create something greater—a living organism.

Bitcoin is like the DNA of a decentralized system. Each miner is like a cell, following the “instructions” of the protocol to survive (profit). They don’t think about the entire network, only their own reward. But when all miners act together, they create something bigger—a global, secure, and resilient financial system. This is the beauty of decentralization: everyone acts for themselves, but the result is collective.

Selfishness and Humanity

Humans are no different from cells. Each of us wants to thrive—to have security, comfort, and success. But in pursuing these goals, we contribute to society. A teacher educates because they want to earn a living, but they shape future generations. An engineer builds a bridge because it’s their job, but it facilitates transportation for millions. Even in our personal lives, when we care for our families, we strengthen the social bonds that make society stronger.

Of course, there are exceptions—people who act solely for personal gain without regard for consequences. But even these outliers don’t change the bigger picture. Selfishness, when channeled correctly, is a driver of progress. Bitcoin is proof of this—a technology that turns personal interest into global innovation.

Bitcoin is more than just a cryptocurrency; it’s a mirror of human nature and the way the world works. Its design harnesses selfishness to create something sustainable and valuable. Just like cells in a body or people in society, Bitcoin miners work for themselves but contribute to something greater. It’s a reminder that even in our pursuit of personal gain, we can make the world a better place—as long as we follow the right “code.”

@ 26769dac:498e333b

Here's to the ones who can\ Feel there cause\ Surrender\ Change their ways\ But keep their fire\ And never give up

We will transform this world\ Restructuring\ One belief at a time

@ 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.

@ 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.

@ 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.

@ 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.

@ 3283ef81:0a531a33

Aliquam eu turpis sed enim ultricies scelerisque\ Duis posuere congue faucibus

Praesent pretium orci ante, et faucibus lectus euismod a

@ 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.

@ 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.

@ 0c65eba8:4a08ef9a

Why This Matters and Why You Must Rise

Before we get to the hard truth, you need to see what’s at stake: being a husband, a good husband, is one of the most powerful and rewarding roles a man can earn. A well-chosen wife who loves, trusts, and follows your lead brings daily peace, sexual loyalty, emotional steadiness, and generational purpose. She raises your children with respect, protects your name with dignity, and makes your home a fortress of peace, joy and legacy.

But that kind of marriage isn’t given. It’s not random. It must be cultivated. Every couple has the potential to build it, but most don’t know how. Some are emotionally or mentally blocked, and a rare few are so self-destructive or disordered that they don’t want peace at all. If you commit to growth, you avoid becoming that third group. Your habits, discipline, leadership, clarity, and standards will determine the kind of women you attract, and the kind you choose.

Now, the hard truth: most men today are not mature enough to lead a family. Not because of fate, but because they have not been forged into full adulthood. Our culture has abandoned the process of training boys into husbands and fathers. We are surrounded by “males”, men who are adult aged but lacking in masculine maturity. You want to be forged into the kind of man capable of bearing the responsibilities that make marriage work, and make life worth living.

You’ve probably been told one of three lies. First, that you should just be yourself and wait for the right woman to magically appear. Second, that it’s hopeless, that modern women are broken and you’ll never succeed. Third, that the only way to win is to become a manipulator or a predator. All three are lies. And all three will ruin you.

Marriage is an institution that rests on male responsibility. Now is not the time to indulge in unrestrained feelings. This is the time to think logically, act decisively, and get your foundations right. The emotions will come, joy, love, pride, but only after the structure is sound. This audit isn’t romantic. It’s not poetic. It’s not meant to flatter you. It’s meant to demand excellence.

Because the stakes are civilization.

For most of human history, men weren’t asked to find themselves, they were trained, tested, and proven by their clan. Their worth wasn’t debated, it was demonstrated in actions. Marriage wasn’t a reward; it was an assignment earned by utility, discipline, and loyalty. Today, you must choose to forge yourself or be disqualified by default.

This document is hard. That’s intentional. If it offends you, that’s a sign you need it. It is your blueprint, not your affirmation. Read it like your life depends on it, because it does. Your future wife depends on it. Your children depend on it. Your legacy does too.

Every man is born male. Few become men. Fewer still become husbands. If you are to lead, protect, and provide, this is your starting line.

Natural Law Audit and Prescriptive Protocol for Male Readiness for Marriage-Intentional Courtship

Meta-Readiness Considerations

I. Vision of Legacy and Life Direction

A man cannot lead a family without first knowing where he is going. Before evaluating readiness for courtship, you must clarify your vision. What kind of life are you building? What do you want your marriage, children, household, and legacy to look like in five, ten, twenty years? This is not optional. A man without vision drifts, and drifting men destroy women and children.

Ask: Do you want a traditional household? Homeschooling? A career-driven wife or a homemaker? City life or rural homesteading? What is your stance on faith, education, conflict, discipline, and family governance? If you do not define these things in advance, you will be disqualified by women who have.

Your first step is to write it down. This vision is aspirational, it doesn’t need to be perfect, and it will evolve over time. But it must exist to anchor your habits, guide your structure, and align your strategic direction. Without it, you will have no consistent way to measure whether your decisions are moving you toward or away from your goals. Most importantly, this vision will help you evaluate whether a particular woman will support or undermine that trajectory. Put it into a concrete, measurable format. If it is not written, it is not real.

II. Male Hierarchy and Accountability Integration

Men are made in conflict, tested by other men, and refined in a hierarchy. If you do not belong to a tribe of strong men who correct, challenge, and demand your best, you are already failing. Self-improvement in isolation is a delusion. No man rises without pressure.

You need brothers, mentors, uncles, tradesmen, or elders, men who will hold you accountable to your standards, correct your pride, and force you to grow. Whether in a martial arts gym, a church men’s group, a builder’s crew, or a military brotherhood, you must place yourself under male scrutiny. That is where respect is forged.

If you are alone, this is your mission: find a circle or build one. Without this, you will drift, decay, or submit to weaker men’s values.

I. PHYSICAL HEALTH AND APPEARANCE

Functional Purpose: Your body is your first signal, your first point of communication. It tells the world whether you are disciplined, dangerous, and reliable, or soft, passive, and avoidant. Strength, grooming, posture, and composure signal not vanity, but command. A man who cannot govern his flesh will not be trusted to govern anything else.

Operational Criteria:

• Body Composition: Visible musculature, BMI 18.5–24.9.

• Posture: Upright, shoulders back, slow and intentional gait.

• Grooming: Clean, orderly hair, skin, nails, facial hair.

• Eye Contact: Calm, unwavering, non-threatening.

Disqualifiers:

• Obesity, sloppiness, foul odor, nervous ticks, posture collapse, dressing like a child.

Remediation Steps:

• Lift weights 3–5x/week.

• Establish daily grooming habits.

• Practice mirror walk, facial relaxation, and neutral posture.

• Buy and wear tailored, timeless outfits like suits or smart-casual attire, chosen for the setting, with high-quality fabrics and subtle styles to convey confidence and earn respect.

Rationale:

Your physical presentation is your first form of leadership. It signals self-respect, readiness, and capacity to protect and provide. Women and other men alike assess you visually before you speak. Neglect in this area marks you as unserious. Strength invites trust.

II. PSYCHOLOGICAL AND EMOTIONAL STABILITY

Functional Purpose: Your mood must not lead you. True emotional maturity means your emotions do not control you, but it does not mean you are numb or unavailable. You must be able to feel deeply, express emotion appropriately, and demonstrate openness to connection. Emotional repression is not strength; it is often a sign of fear. Women bond with men who are strong and warm, who are not ruled by emotion, but are not strangers to it either. Emotional regulation, agency, and stoic self-control are prerequisites for the burden of leadership. Women and children depend on consistency. If you break under pressure, they suffer.

Operational Criteria:

• Plans and acts for the long-term.

• Resolves conflict with clarity.

• Absence of rage, sulking, or passive aggression.

• Maintains emotionally intimate, trusting relationships with at least one or more close friends or family members.

Disqualifiers:

• Addictions, trauma reenactment, erratic emotional swings (crashing out).

Remediation Steps:

• Daily journaling + therapy/coaching if unresolved wounds exist.

• Breathwork, cold exposure, hardship-seeking routines.

• Audit social circle for drama dependency.

• Identify self-sabotaging emotional patterns, e.g., withdrawing from intimacy, ending friendships that grow too close, or mistaking openness for weakness, and interrupt them with intentional response strategies.

Rationale:

A man who cannot regulate his emotions becomes a source of instability rather than leadership. Emotional maturity is not the absence of feeling, but the control of it. It makes you trustworthy in crisis, durable in conflict, and clear in vision.

III. ECONOMIC PRODUCTIVITY AND PROVISIONING CAPACITY

Functional Purpose: You are not entitled to love without means. Provisioning is a male responsibility. If you cannot provide, you are not a suitor, you are a dependent. This has always been the ancient challenge of young men, how to grow into a provider before they are chosen. At 18, most men will fail this test, not because they are doomed, but because they are just beginning. Your job is to mature into the man who passes it.

Operational Criteria:

• Income: 1.3x local median female income minimum.

• Budgeting: Monthly audit of all spending.

• Savings/Insurance: 6+ months living expenses.

Disqualifiers:

• Irregular employment, credit card debt, no savings plan.

Remediation Steps:

• Obtain or increase income-producing skills.

• Build an emergency fund over 90 days.

• Eliminate high-interest debt.

• Join or form a male career network or professional brotherhood where members support and promote one another’s advancement, most trades and professions have them, and they multiply your rate of progress.

Rationale: Provisioning is the single clearest historical threshold of male maturity. A man who cannot sustain a household cannot form one. Women are instinctively attuned to this. Stability signals trustworthiness. Without it, love decays under the weight of unmet needs.

IV. LEADERSHIP, DECISION-MAKING, AND MORAL AUTHORITY

Functional Purpose: You are not equal in responsibility, you are higher. This means you carry the weight of consequence. She must feel safer with you in charge. Your leadership must be principled, not domineering.

Operational Criteria:

• Makes and owns decisions in all aspects of life.

• Asserts and maintains healthy boundaries.

• Arbitrates disputes without escalation.

• Knows how to say "no" to others including women.

Disqualifiers:

• People pleasing under pressure, indecisiveness, abdication of duty.

Remediation Steps:

• Practice “decision drills” daily.

• Create weekly leadership practice (mentoring, facilitating).

• Study natural hierarchy and enforcement principles.

Rationale: Leadership is not a “style”, it is a skill set. A man who cannot make decisions cannot command trust. Marriage is a high-stakes enterprise, and indecision breeds confusion and conflict. Clarity is love and care. Direction is protection.

V. SOCIAL INTELLIGENCE AND COURTSHIP COMPETENCE

Functional Purpose: You must lead. In courtship, that means planning, initiating, and maintaining your frame. Women test men for stability, assertiveness, and charisma. If you fail to calibrate, you fail to court.

Operational Criteria:

• Initiates interactions and follows through.

• Demonstrates empathetic intuition by interpreting emotional tone and needs through observation, body language, tone, patterns, rather than repeatedly asking "are you okay?"; this shows leadership, sensitivity, and awareness without neediness.

• Leads with clarity about relationship direction; a woman should never have to ask where she stands or where the relationship is going, his intent should be visible in word and action.

• Calibrates tone, timing, and intent.

• Leads logistics without seeking approval.

Disqualifiers:

• Creeping, over-sharing, chasing, excessive self-disclosure.

Remediation Steps:

• Social reps 3x/week with feedback: initiate conversations with strangers or acquaintances in real-world settings to practice confident, calibrated interaction. Use feedback from trusted peers or self-review to refine tone, timing, and engagement style.

• Practice escalation and withdrawal cycles in a calibrated, non-manipulative way: offer warmth and connection, then step back slightly to test reciprocity—not to punish or confuse, but to observe sincerity and emotional maturity. This is about leadership, not control.

• Study polarity dynamics and frame control.

Rationale:

Social calibration is not optional. Women are constantly reading your tone, timing, and presence. If you cannot initiate, maintain, and lead relational dynamics with competence, you will lose respect and attraction, even if your other credentials are in place.

VI. RISK DISCIPLINE AND REPUTATION MANAGEMENT

Functional Purpose: Your record is your resume. Reputation is slow-built and quickly lost. No woman with future orientation will follow a man whose past screams instability.

Operational Criteria:

• Clean digital, legal, and financial history.

• No active liabilities: drugs, debts, demons, or interfering exes.

Disqualifiers:

• Public drama, digital recklessness, chaos in your orbit.

Remediation Steps:

• 90-day discipline detox (no substance, no vice).

• Drop unstable, low value people from your orbit. Block them out.

• Clean online presence: don’t delete your social media, just remove the parts you wouldn’t want your grandmother, your future wife, or your children to see.

• Seek testimony from high-integrity peers.

Rationale: Your reputation precedes you. Women will not tell you when they've disqualified you, they will simply disappear. A man who cannot manage his habits or his history is seen as unstable. Stability earns trust. Reputation is leverage. One of the best ways to earn such a reputation is to volunteer with a respected organization. That could be your church, a local charity, or a civic or political group. It gives you a structure where you’re immediately adding value, integrated into a hierarchy, and being seen over time, a strategic investment in your public character and future social capital.

VII. ATTITUDE, WORLDVIEW, AND LONG-TERM STRATEGY

Functional Purpose: A man’s compass must point beyond his own gratification. Your worldview must align with duty, honor, and legacy. Hedonism, blackpilled cynicism, and false egalitarianism destroy your mission.

Operational Criteria:

• Sees family as duty, as a sacred honor, and as legacy-building project for his future.

• Orients decisions to long-term outcomes.

• Lives by principle, not trend.

Disqualifiers:

• Victimhood, escapism, prideful detachment.

Remediation Steps:

• Write a 5-year legacy map.

• Study Natural Law, masculine ethics, family economics.

• Form alliances with principled men.

• Audit your social media presence: are your posts expressions of agency, ownership, and action, or are they dominated by complaints, victimhood, or bitterness? This includes your reaction to this document.

Rationale: A man’s worldview is his compass. Without purpose beyond pleasure, he is easily swayed, easily trapped, and easily forgotten. Women do not trust men who float. They trust men who build, and who stay building. Are you responding with responsibility and a will to grow, or with defensiveness, sarcasm, or resentment? Your instinctive reaction reveals which trajectory you're on: the heroic or the defeated.

VIII. Courtship Entry and Partner Evaluation Protocol

Functional Purpose: Courtship is not casual. It is pre-contractual. A man must approach it with the same precision, discipline, and foresight he would apply to any high-stakes investment. A woman is not an accessory, she is a multiplier or destroyer of your legacy. Therefore, a man must evaluate with clarity, not lust; with long-term reciprocity in mind, not momentary gratification. She will vet you, so you must vet her.

Operational Guidelines:

• Precondition: Do not enter courtship unless your provisioning, leadership, and vision are demonstrably in place.

• Intentional Initiation: State your interest clearly. Do not flirt without purpose.

• Staged Testing: Observe her behavior in different settings (stress, boredom, family, social).

• Track Record Review: Know her history, relationship, sexual, emotional, legal. People do not change patterns without great effort or external force.

• Frame Integrity: Maintain leadership, emotional control, and escalation pacing.

Disqualifiers in Women:

• History of promiscuity, masculine affect, open contempt for male authority, or unstable social bonds.

• Signs of status-seeking over loyalty.

• Defensiveness against vetting, resistance to transparency is a red flag.

Remediation Steps for Men:

• Create a written checklist of values, standards, and red flags.

• Practice controlled emotional investment: do not fall in love before facts.

• Involve elder men or mentors in evaluating serious candidates.

Rationale: Your family is your most important project. Do not let your hormones sabotage your legacy. The discipline you apply here will determine the quality of your life 10, 20, even 40 years from now. Vet her like your children depend on it, because they will.

Common Objections and Necessary Corrections

“Women should accept me as I am.” That is not how selection works. You are not a product of sentiment, you are a man under judgment. And you will be judged. If you won’t improve, you are asking a woman to accept less so you can offer less. That’s not love, it’s laziness.

“This is outdated or too harsh.” Reality is not dated. The consequences of fatherlessness, broken homes, and unled women are timeless. What’s harsh is a man failing his family because he thought modernity made him exempt from responsibility.

“I know men who got married without doing all this.” Yes. And many of them are divorced, disrespected, or miserable. The bar is low. You are here to rise above it. The goal is not to ‘get married’, it is to build a durable, high-trust household.

“Women today are the real problem.” That may be partly true. But you are the variable you control. Let weak men complain. Strong men adapt, improve, and filter. If you are not rising above the noise, you are being drowned by it.

“This feels autistic or robotic.” It’s supposed to be procedural. That’s what makes it reliable. Emotion has its place, in protection, in passion, in pride, but your vetting process must be strategic. That’s not autism, it’s wisdom.

“Good men don’t need to judge women like this.” Wrong. Good men judge quietly but thoroughly. They know that marrying wrong will cost them their peace, their children, their mission. Judgment is not cruelty, it’s care.

“I don’t want to put in this much work.” Then don’t. But understand, you have chosen disqualification. The work is the entry fee. Excellence is rare for a reason. You are either one of the few who rise or one of the many who wish.

“Women today just aren’t worth marrying.” Not the women you can currently attract. If you’re only meeting low-quality women, you’re probably at their level. If you want to meet better women, you must become a better man.

“As long as the marriage laws are the way they are, it’s not worth it.” Marriage laws only come into play if you fail and get divorced. This process exists to help you avoid divorce. Stay out of court by vetting properly and building wisely.

“Tell me exactly what men get out of marriage in 2025.” Peace. Legacy. Daily affection. Loyalty. Children. A fortified home. Someone to multiply your effort and love. It’s what strong men throughout history have always wanted, and built.

“There aren’t enough good women left.” There are nearly equal numbers of men and women who qualify. It only feels unbalanced when you're not in the right networks or vetting properly. The solution isn’t despair, it’s improvement.

“50% of men will never be attractive to women.” Only if they stay in the bottom 50%. Normally men cycle in and out of the bottom 50%. That has always been true. The solution isn’t resignation, it’s advancement. Do the work in this audit, and you’ll be in the top 25%. Men who say this as an excuse are signaling their own stagnation. Focus on becoming the best version of yourself, not complaining.

Final Word: You’ve Got Work to Do

If you’ve read this far, you’ve already demonstrated what most men won’t: attention, endurance, and a willingness to face the truth. That alone separates you from the crowd.

If this document exposed your failures, good. That means you’re not too far gone. That means you still have a shot. It means you can recognize where to improve.

You don’t get a wife. You earn the trust to lead one. You don’t deserve a good woman, you build the capacity to attract and retain one.

Read this again. Make a plan. Audit weekly. Ask older and more successful men for correction. Get uncomfortable and get to work.

The future doesn’t need more weak men. It needs you at your best, mature, restored, resolute, and ready.

You’re not just choosing a woman. You’re choosing to become the man who will lead a household.

Make yourself a man who cannot be overlooked.

Your future begins now.

@ 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

@ 37fe9853:bcd1b039

yoyoaa

@ 866e0139:6a9334e5

Autor: Alexa Rodrian. Dieser Beitrag wurde mit dem Pareto-Client geschrieben. Sie finden alle Texte der Friedenstaube und weitere Texte zum Thema Frieden hier. Die neuesten Pareto-Artikel finden Sie in unserem Telegram-Kanal.

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Die neuesten Artikel der Friedenstaube gibt es jetzt auch im eigenen Friedenstaube-Telegram-Kanal.

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„Triff niemals deine Idole“ heißt ein gängiger Ratschlag. In gewendeten Zeiten stehen zu dem die Werte auf dem Kopf – und manche Künstler mit ihnen. Die Worte, die aus manch ihrer Mündern kommen, wirken, als hätte eine fremde Hand sie auf deren Zunge gelegt.

Die Sängerin Alexa Rodrian erlebte bei der Verleihung des Deutschen Filmpreises einen solchen Moment der Desillusion. Es war der Auftritt des Liedermachers Wolf Biermann. Hören Sie hierzu Alexa Rodrians Text „Wolf Biermann und sein falscher Friede“.

Hier zum Nachhören:

https://soundcloud.com/radiomuenchen/wolf-biermann-und-sein-falscher-friede-von-alexa-rodrian

Dieser Beitrag erschien zuerst auf Radio München.

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Wenn Sie auf anderem Wege beitragen wollen, schreiben Sie die Friedenstaube an: friedenstaube@pareto.space

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@ b099870e:f3ba8f5d

Let me point out to you that freedom is not something that anybody can be given; freedom is something people take and people are as free as they want to be.

James Baldwin

@ 3283ef81:0a531a33

Nullam auctor pretium sem pulvinar pulvinar\ Donec fermentum iaculis sem id aliquet

Integer vitae tempor justo, ac fermentum purus

@ 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。

@ 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.

@ 23b0e2f8:d8af76fc

Necessário

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

Algumas coisas que você precisa saber

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

---

O tutorial será dividido em dois módulos:

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

---

No final, teremos:

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

---

Módulo 1 - Criando uma carteira fria/assinador

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

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

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

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

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

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

---

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

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

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

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

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

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

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

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

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

---

Conclusão

Pontos positivos do setup:

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

Pontos negativos do setup:

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

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

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

---

@ 3283ef81:0a531a33

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Curabitur vulputate velit elit, sit amet euismod nibh venenatis et

@ 8d34bd24:414be32b

It seems like most Christians today have lost their reverence and awe of God. We’ve attributed God’s awesome creation by the word of His mouth to random chance and a Big Bang. We’ve attributed the many layers of sediment to millions and billions of years of time instead of God’s judgment of evil. We’ve emphasized His love and mercy to the point that we’ve forgotten about His holiness and righteous wrath. We’ve brought God down to our level and made Him either our “buddy” or made Him our magic genie servant, who is just there to answer our every want and whim.

The God of the Bible is a holy and awesome God who should be both loved and feared.

The fear of the Lord is the beginning of knowledge;\ Fools despise wisdom and instruction. (Proverbs 1:7)

The God of the Bible is the Lord of Lords and King of Kings who “… upholds all things by the word of His power. …” (Hebrews 1:3). Yes, God loves us as sons. Yes, God is merciful. Yes, through Jesus we have the blessed opportunity to approach God directly. None of that means we get to treat God like just another friend. We are to approach God with fear and trembling and worship Him in reverence and awe.

Worship the Lord with reverence And rejoice with trembling. (Psalm 2:11)

Part of the problem is that our culture just doesn’t show reverence to authority. It focuses on self and freedom. The whole thought of reverence for authority is incomprehensible for many. Look at this Psalm of worship:

The Lord reigns, let the peoples tremble;\ He is enthroned above the cherubim, let the earth shake!\ The Lord is great in Zion,\ And He is exalted above all the peoples.\ Let them praise Your great and awesome name;\ Holy is He. (Psalm 99:1-3)

This is the way we should view God and the proper attitude for approaching God.

Another issue is that we don’t study what God has done in the past. In the Old Testament, God commanded the Israelites to setup monuments of remembrance and to teach their kids all of the great things God had done for them. When they failed to do so, Israel drifted astray.

You shall teach them to your sons, talking of them when you sit in your house and when you walk along the road and when you lie down and when you rise up. (Deuteronomy 11:19)

God has given us the Bible, His word, so that we can know Him, know His character, and know His great deeds. When we fail to be in His word daily, we can forget (or not even know) the greatness of our God.

Establish Your word to Your servant,\ As that which produces reverence for You. (Psalm 119:38)

Do you love God’s word like this? Do you hunger for God’s word? Do you seek to know everything about God that you can know? When we love someone or something, we want to know everything about it.

Princes persecute me without cause,\ But my heart stands in awe of Your words.\ **I rejoice at Your word,\ As one who finds great spoil. \ (Psalm 119:161-162) {emphasis mine}

In addition to what we can learn about God in the Bible, we also need to remember what God has done in our own lives. We need to dwell on what God has done for us. We can just try to remember. Even better (I’ll admit this is a weakness for me), write down answered prayers, blessings, and other things God has done for you. My son has been writing down one blessing every day for over a year. What an example he is!

After we have thought about what God has done for us and those we care about, we should praise Him for His great works.

Shout joyfully to God, all the earth;\ Sing the glory of His name;\ Make His praise glorious.\ Say to God, “How awesome are Your works!\ Because of the greatness of Your power \ Your enemies will give feigned obedience to You.\ All the earth will worship You,\ And will sing praises to You;\ They will sing praises to Your name.” Selah.\ **Come and see the works of God,\ Who is awesome in His deeds toward the sons of men. \ (Psalm 66:1-5) {emphasis mine}

There is nothing we can do to earn salvation from God, but we should be in awe of what He has done for us leading to submission and obedience in gratitude.

Therefore, since we receive a kingdom which cannot be shaken, let us show gratitude, by which we may offer to God an acceptable service with reverence and awe; for our God is a consuming fire. (Hebrews 12:28-29) {emphasis mine}

Are you thankful for your blessings or resentful for what you don’t have? Do you worship God or take things He has provided for granted? Do you tell the world the awesome things God has done for you or do you stay silent? Do you claim to be a Christian, but live a life no different than those around you?

Then the Lord said,

“Because this people draw near with their words\ And honor Me with their lip service,\ But they remove their hearts far from Me,\ And their reverence for Me consists of tradition learned by rote, (Isaiah 29:13)

I hope this passage does not describe your relation ship with our awesome God. He deserves so much more. Instead we should be zealous to praise God and share His goodness with those around us.

Who is there to harm you if you prove zealous for what is good? But even if you should suffer for the sake of righteousness, you are blessed. And do not fear their intimidation, and do not be troubled, but sanctify Christ as Lord in your hearts, always being ready to make a defense to everyone who asks you to give an account for the hope that is in you, yet with gentleness and reverence; (1 Peter 3:13-15) {emphasis mine}

Did you know that you can even show reverence by your every day work?

By faith Noah, being warned by God about things not yet seen, in reverence prepared an ark for the salvation of his household, by which he condemned the world, and became an heir of the righteousness which is according to faith. (Hebrews 11:7) {emphasis mine}

When Noah stepped out in faith and obedience to God and built the ark as God commanded, despite the fact that the people around him probably thought he was crazy building a boat on dry ground that had never flooded, his work was a kind of reverence to God. Are there areas in your life where you can obey God in reverence to His awesomeness? Do you realize that quality work in obedience to God can be a form of worship?

Just going above and beyond in your job can be a form of worship of God if you are working extra hard to honor Him. Obedience is another form of worship and reverence.

Then Zerubbabel the son of Shealtiel, and Joshua the son of Jehozadak, the high priest, with all the remnant of the people, obeyed the voice of the Lord their God and the words of Haggai the prophet, as the Lord their God had sent him. And the people showed reverence for the Lord. (Haggai 1:12) {emphasis mine}

Too many people have put the word of men (especially scientists) above the word of God and have tried to change the clear meaning of the Bible. I used to think it strange how the Bible goes through the days of creation and ends each day with “and there was evening and there was morning, the xth day.” Since a day has an evening and a morning, that seemed redundant. Why did God speak in this manner? God knew that a day would come when many scientist would try to disprove God and would claim that these days were not 24 hour days, but long ages. When a writer is trying to convey long ages, the writer does not mention evening/morning and doesn’t count the days.1

When we no longer see God as speaking the universe and everything in it into existence, we tend to not see God as an awesome God. We don’t see His power. We don’t see His knowledge. We don’t see His goodness. We also don’t see His authority. Why do we have to obey God? Because He created us and because He upholds us. Without Him we would not exist. Our creator has the authority to command His creation. When we compromise in this area, we lose our submission, our awe, and our reverence. (For more on the subject see my series.) When we believe His great works, especially those spoken of in Genesis 1-11 and in Exodus, we can’t help but be in awe of our God.

For the word of the Lord is upright,\ And all His work is done in faithfulness.\ He loves righteousness and justice;\ The earth is full of the lovingkindness of the Lord.\ By the word of the Lord the heavens were made,\ And by the breath of His mouth all their host.\ He gathers the waters of the sea together as a heap;\ He lays up the deeps in storehouses.\ **Let all the earth fear the Lord;\ Let all the inhabitants of the world stand in awe of Him. \ (Psalm 33:4-8) {emphasis mine}

Remembering God’s great works, we can’t help but worship in awe and reverence.

By awesome deeds You answer us in righteousness, O God of our salvation,\ *You who are the trust of all the ends of the earth* and of the farthest sea;\ Who establishes the mountains by His strength,\ Being girded with might;\ Who stills the roaring of the seas,\ The roaring of their waves,\ And the tumult of the peoples.\ They who dwell in the ends of the earth stand in awe of Your signs;\ You make the dawn and the sunset shout for joy. \ (Psalm 65:5-8) {emphasis mine}

If we truly do have awe and reverence for our God, we should be emboldened to tell those around us of His great works.

I will tell of Your name to my brethren;\ In the midst of the assembly I will praise You.\ You who fear the Lord, praise Him;\ All you descendants of Jacob, glorify Him,\ And stand in awe of Him, all you descendants of Israel. \ (Psalm 22:22-23) {emphasis mine}

May God grant you the wisdom to see His awesomeness and to trust Him, serve Him, obey Him, and worship Him as He so rightly deserves. May you always have a right view of God and a hunger for His word and a personal relationship with Him. To God be the Glory!

Trust Jesus

FYI, these are a few more passages on the subject that are helpful, but didn’t fit in the flow of my post.

Great is the Lord, and highly to be praised,\ And His greatness is unsearchable.\ One generation shall praise Your works to another,\ And shall declare Your mighty acts.\ On the glorious splendor of Your majesty\ And on Your wonderful works, I will meditate.\ Men shall speak of the power of Your awesome acts,\ And I will tell of Your greatness. (Psalm 145:3-6)

The boastful shall not stand before Your eyes;\ You hate all who do iniquity.\ You destroy those who speak falsehood;\ The Lord abhors the man of bloodshed and deceit.\ But as for me, by Your abundant lovingkindness I will enter Your house,\ At Your holy temple I will bow in reverence for You. (Psalm 5:5-7) {emphasis mine}

If you do not listen, and if you do not take it to heart to give honor to My name,” says the Lord of hosts, “then I will send the curse upon you and I will curse your blessings; and indeed, I have cursed them already, because you are not taking it to heart. Behold, I am going to rebuke your offspring, and I will spread refuse on your faces, the refuse of your feasts; and you will be taken away with it. Then you will know that I have sent this commandment to you, that My covenant may continue with Levi,” says the Lord of hosts. “My covenant with him was one of life and peace, and I gave them to him as an object of reverence; so he revered Me and stood in awe of My name. (Malachi 2:2-5) {emphasis mine}

@ 57d1a264:69f1fee1

I dare to claim that the big factor is the absence of an infinite feed design.

Modern social media landscape sucks for a myriad of reasons, but oh boy does the infinite feed take the crapcake. It's not just bad on it's own, it's emblematic of most, if not all other ways social media have deteriorated into an enshitification spiral. Let's see at just three things I hate about it the most.

1) It's addictive: In the race for your attention, every addictive design element helps. But infinite feed is addictive almost by default. Users are expected to pull the figurative lever until they hit a jackpot. Just one more reel, then I'll go to sleep.

2) Autonomy? What's that? You are not the one driving your experience. No. You are just a passenger passively absorbing what the feed feeds you.

3) Echo chambers. The algorithm might be more to blame here, but the infinite feed and it's super-limited exploration options sure don't help. Your feed only goes two ways - into the past and into the comfortable.

And I could go on, and on...

The point it, if the goal of every big tech company is to have us mindlessly and helplessly consume their products, without agency and opposition (and it is $$$), then the infinite feed gets them half-way there.

Let's get rid of it. For the sake of humanity.

Aphantasia [^1] Version: 1.0.2 Alpha

What is Aphantasia?

I like to call it a social network for graph enthusiasts. It's a place where your thoughts live in time and space, interconnected with others and explorable in a graph view.

The code is open-source and you can take a look at it on GitHub. There you can find more information about contributions, API usage and other details related to the software.

There is also an accompanying youtube channel.

https://www.youtube.com/watch?v=JeLOt-45rJM

[^1]: Aphantasia the software is named after aphantasia the condition - see Wikipedia for more information.

https://stacker.news/items/988754

@ 86dfbe73:628cef55

Robustheit ist die Eigenschaft eines Systems, auch unter schwierigen Bedingungen funktionieren zu können: trotz Störungen und einer gewissen Verschlechterung seiner internen Prozesse. Das Leben als Ganzes ist robust. Dasselbe gilt für Ökosysteme: Sie können den Verlust einiger Arten überstehen und sich an veränderte Umweltbedingungen anpassen.

Der Hauptfeind der Robustheit ist das Streben nach Effizienz. Ein auf Effizienz optimiertes System hat keine Reserven mehr, sich an Störungen anzupassen. Es wird fragil. Wir optimieren die Gesellschaft und ihre Subsysteme (z. B. Institutionen) seit 5000 Jahren auf Wachstum, Effizienz und Produktivität. Und wir haben das Optimierungstempo mit den beiden Turbo-Boosts fossile Brennstoffe und Informationstechnologie beschleunigt. Deshalb ist alles um uns herum fragil geworden. Beispielsweise kann ein Virusausbruch in China sich zu einer Pandemie entwickeln, weil die Menschen weit und schnell reisen können und müssen.

Robustheit ist nicht absolut und dauerhaft. Ein System kann durch Störungen, die zu gravierend für es sind, fragil werden. Ehemals robuste Ökosysteme wie Regenwälder wurden durch menschliche Ausbeutung fragil. Deregulierung hat sowohl Regierungen als auch die Wirtschaft effizienter gemacht, allerdings zum Preis zunehmender Fragilität. Unternehmen sind mächtiger geworden als viele Staaten, was bedeutet, dass demokratisch gewählte Parlamente und Regierungen nicht mehr die Kontrolle haben. Heute kann eine einzelne Person demokratische Wahlen weltweit manipulieren, indem sie ein soziales Netzwerk kontrolliert. Das ist Fragilität pur.

Wir müssen als Gesellschaft die Effizienz in den Hintergrund rücken und uns mehr auf Robustheit konzentrieren.

@ 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.

@ 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.

@ 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.

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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.

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Dicas Extras

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

@ 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.

@ 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.

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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.

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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.

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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.

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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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@ 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.

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

@ 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.

@ 2b24a1fa:17750f64

Eine Stunde Klassik! Der Münchner Pianist und "Musikdurchdringer" Jürgen Plich stellt jeden Dienstag um 20 Uhr große klassische Musik vor. Er teilt seine Hör- und Spielerfahrung und seine persönliche Sicht auf die Meisterwerke. Er spielt selbst besondere, unbekannte Aufnahmen, erklärt, warum die Musik so und nicht anders klingt und hat eine Menge aus dem Leben der Komponisten zu erzählen.

https://soundcloud.com/radiomuenchen/eine-stunde-klassik-opus-eins?

Sonntags um 10 Uhr in der Wiederholung.

@ 502ab02a:a2860397

บางครั้งพลังยิ่งใหญ่ที่สุดก็ไม่ใช่สิ่งที่เห็นได้ด้วยตาเปล่า เหมือนแสงแดดที่คนส่วนใหญ่มักจะกลัวเพราะกลัวผิวเสีย กลัวฝ้า กลัวร้อน แต่แท้จริงแล้วในแสงแดดมีบางสิ่งที่น่าเคารพอยู่ลึกๆ มันคือแสงที่มองไม่เห็น มันไม่แสบตา ไม่แสบผิว แต่มันลึก ถึงเซลล์ มันคือ “แสงอินฟราเรด” ที่ซ่อนตัวอย่างสุภาพในแดดยามเช้า

เฮียมักชอบพูดว่า แดดที่ดีไม่จำเป็นต้องแสบหลัง อาบแสงที่ลอดผ่านใบไม้ยามเช้าแบบไม่ต้องฝืนตาก็พอ แสงอินฟราเรดนี่แหละคือพระเอกตัวจริงในความเงียบ มันไม่ดัง ไม่โชว์ ไม่โฆษณา แต่มันลงลึกไปถึงระดับที่ร่างกายเรากำลังหิวโดยไม่รู้ตัวในระดับเซลล์

ในเซลล์ของเรา มีหน่วยผลิตพลังงานที่เรียกว่าไมโทคอนเดรีย เจ้านี่แหละคือโรงไฟฟ้าจิ๋วประจำบ้าน ที่ต้องตื่นมาทำงานทุกวันโดยไม่ได้หยุดเสาร์อาทิตย์ ยิ่งถ้าไมโทคอนเดรียทำงานไม่ดี ร่างกายก็จะเหมือนไฟตกทั้งระบบ—ง่วงง่าย เพลียไว ปวดนู่นปวดนี่เหมือนไฟในบ้านกระพริบตลอดเวลา

แล้วแสงอินฟราเรดเกี่ยวอะไรกับมัน? เฮียขอเล่าง่ายๆ ว่า ไมโทคอนเดรียมีตัวรับแสงตัวหนึ่งชื่อว่า cytochrome c oxidase เจ้านี่ตอบสนองต่อแสงอินฟราเรดช่วงคลื่นเฉพาะ คือประมาณ 600–900 นาโนเมตร พอโดนเข้าไป มันเหมือนได้จุดประกายให้โรงงานพลังงานในร่างกายกลับมาคึกคักอีกครั้ง ผลิตพลังงานได้มากขึ้น ระบบไหลเวียนเลือดก็ดีขึ้น เหมือนท่อน้ำที่เคยอุดตันก็กลับมาใสแจ๋ว ความอักเสบเล็กๆ ในร่างกายก็ลดลง คล้ายบ้านที่เคยอับชื้นแล้วได้เปิดหน้าต่างให้แสงแดดส่องเข้าไป

และที่น่ารักกว่านั้นคือ เราไม่ต้องไปถึงชายหาด ไม่ต้องจองรีสอร์ตริมทะเล แค่แดดเช้าอ่อนๆ ข้างบ้านหรือตามขอบระเบียง ก็ให้แสงอินฟราเรดได้แล้ว ถ้าใครอยู่ในเมืองใหญ่ที่มีแต่ตึกบังแดด แล้วจะเลือกใช้หลอดไฟ Red Light Therapy ก็ไม่ผิด แต่ต้องเลือกแบบรู้เท่าทันรู้ ไม่ใช่เห็นใครรีวิวก็ซื้อมาเปิดใส่หน้า หวังจะหน้าใสข้ามคืน ต้องเข้าใจทั้งความยาวคลื่น เวลาใช้งาน และจุดประสงค์ ไม่ใช่ใช้เพราะแค่กลัวแก่อยากหน้าตึง แต่ใช้เพราะอยากให้ร่างกายกลับไปทำงานอย่างเป็นธรรมชาติอีกครั้ง และอยู่ในประเทศหรือสถานที่ที่โดนแดดได้น้อยอยากได้เสริมเฉยๆ

แล้วเราจะรู้ได้ยังไงว่าไมโทคอนเดรียเรากลับมาทำงานดีขึ้น? เฮียว่าไม่ต้องรอผลเลือดจากแล็บไหนก็รู้ได้ อย่าไปยึดติดกับตัวเลขมากครับ เอาตัวเองเป็นหลัก ตั้งคำถามกับตัวเองว่ารู้สึกยังไงบ้าง ถ้าเริ่มนอนหลับลึกขึ้น ตื่นมาแล้วหัวไม่มึน ไม่หงุดหงิดตั้งแต่ยังไม่ลืมตา ถ้าปวดหลังปวดข้อที่เคยมีเริ่มหายไปแบบไม่ได้กินยา หรือแม้แต่ผิวที่ดูสดใสขึ้นแบบไม่ต้องง้อสกินแคร์ นั่นแหละคือเสียงขอบคุณเบาๆ จากไมโทคอนเดรียที่ได้แสงแดดแล้วกลับมามีชีวิตอีกครั้ง ถ้ามันดีก็คือดี

บางที เราไม่ต้องกินวิตามินเม็ดไหนเพิ่ม แค่เดินออกไปรับแดดเบาๆ ในเวลาเช้าๆ แล้วให้ร่างกายได้พูดคุยกับธรรมชาติบ้าง เพราะในความอบอุ่นเงียบๆ ของแสงอินฟราเรดนั้น มีเสียงเบาๆ ที่กำลังปลุกพลังในตัวเราให้กลับมาอีกครั้ง

แดดไม่ใช่ศัตรู ถ้าเรารู้จักมันในมุมที่ถูกต้อง เฮียแค่อยากชวนให้ลองเปลี่ยนจากคำว่า “กลัวแดด” เป็น “ฟังแดด” เพราะบางครั้งธรรมชาติไม่ได้พูดด้วยคำ แต่สื่อสารด้วยแสงที่แทรกผ่านหัวใจเราโดยไม่ต้องผ่านล่าม

บางคนอาจคิดในใจ “แหมเฮีย ก็ดีหรอก ถ้าได้ตื่นเช้า” 555555

เฮียเข้าใจดีเลยว่าไม่ใช่ทุกคนจะตื่นมาทันแดดยามเช้าได้เสมอไป ชีวิตคนเรามันไม่ได้เริ่มต้นพร้อมไก่ขันทุกวัน บางคนเพิ่งเข้านอนตอนตีสาม ตื่นอีกทีแดดก็แตะบ่ายเข้าไปแล้ว ไม่ต้องกังวลไปจ้ะ เพราะความมหัศจรรย์ของแสงอินฟราเรดยังมีให้เราได้ใช้แม้ในแดดยามเย็น

แดดช่วงเย็น โดยเฉพาะหลังสี่โมงเย็นไปจนเกือบหกโมง (หรือเร็วช้าตามฤดู) ก็ยังอุดมไปด้วยแสงอินฟราเรดในช่วงคลื่นที่ไมโทคอนเดรียชอบ แถมยังไม่มีรังสี UV ที่แรงจัดมารบกวนเหมือนตอนเที่ยง เรียกว่าเป็นแดดแบบละมุนๆ สำหรับคนที่อยาก “บำบัดใจ” แบบไม่ต้องร้อนจนหัวเปียก

เฮียเคยลองตากแดดเย็นเดินไปในสวนสาธารณะ แล้วรู้สึกว่ามันเหมือนได้รีเซ็ตจิตใจหลังวันเหนื่อยๆ ไปในตัว ยิ่งพอรู้ว่าในช่วงเวลานี้แสงที่ได้กำลังช่วยปลุกพลังงานในร่างกายแบบเงียบๆ ด้วยแล้ว มันทำให้เฮียยิ่งเคารพธรรมชาติมากขึ้นไปอีก เคยเห็นคนที่วันๆมีแต่ความเครียด ความโกรธ ความอาฆาตต่อโลกไหมหละ บางคนแค่โดนแดด แต่ไม่ได้ตากแดด การตากแดดคือปล่อยใจไปกับธรรมชาติ พูดคุยกับร่างกาย บอกเขาว่าเราจะทำตัวให้เป็นประโยชน์กับโลกใบนี้ ให้สมกับที่ใช้พลังงานของโลก

จะเช้าหรือเย็น สำคัญไม่เท่ากับความตั้งใจ เฮียว่าไม่ว่าชีวิตจะตื่นตอนไหน ถ้าเราให้เวลาแค่ 10–15 นาทีในแต่ละวัน ออกไปยืนให้แดดแตะหน้า แตะแขน หรือแค่ให้แสงลอดผ่านตาเบาๆ โดยไม่ต้องจ้องจ้าๆ ก็พอ แค่นี้ก็เป็นการให้ไมโทคอนเดรียได้หายใจ ได้ออกกำลังกายแบบของมัน และได้ส่งพลังกลับมาหาเราทั้งร่างกายและจิตใจ

สุดท้ายแล้ว แดดไม่ได้แบ่งชนชั้น ไม่เลือกว่าจะรักเฉพาะคนตื่นเช้า หรือโกรธคนตื่นสาย ขอแค่เรารู้จักเวลาและวิธีอยู่กับมันอย่างถูกจังหวะ แดดก็พร้อมจะให้เสมอ

#pirateketo #กูต้องรู้มั๊ย #ม้วนหางสิลูก #siamstr #SundaySpecialเราจะไปเป็นหมูแดดเดียว

@ f9cf4e94:96abc355

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

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

---

Passo 1: Atualizar o Sistema 🖥️

Primeiro, atualize seu sistema e instale o Tor:

bash apt update apt install tor

---

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

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

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

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

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

---

Passo 3: Baixar o Binário do Nostr 🚀

Baixe o binário mais recente do Nostr aqui no GitHub.

---

Passo 4: Criar as Pastas Necessárias 📂

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

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

---

Passo 5: Listar os Dispositivos Conectados 🔌

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

bash lsblk

---

Passo 6: Formatando o Pendrive 💾

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

bash mkfs.vfat /dev/sda

---

Passo 7: Montar o Pendrive 💻

Monte o pendrive na pasta /mnt/edriver:

bash mount /dev/sda /mnt/edriver

---

Passo 8: Verificar UUID dos Dispositivos 📋

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

bash blkid

---

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

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

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

---

Passo 10: Copiar o Binário para a Pasta Correta 📥

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

bash cp nrs-arm64 /opt/nrs

---

Passo 11: Criar o Arquivo de Configuração 🛠️

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

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

---

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

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

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

Recarregue os serviços e inicie o serviço nrs:

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

---

Passo 13: Configurar o Tor 🌐

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

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

---

Passo 14: Habilitar e Iniciar o Tor 🧅

Agora, ative e inicie o serviço Tor:

bash systemctl enable --now tor.service

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

---

Observações ⚠️

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

---

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

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

@ 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.

@ 2b998b04:86727e47

Turning 60

Ten years ago, I turned 50 with a vague sense that something was off.

I was building things, but they didn’t feel grounded.\ I was "in tech," but tech felt like a treadmill—just faster, sleeker tools chasing the same hollow outcomes.\ I knew about Bitcoin, but I dismissed it. I thought it was just “tech for tech’s sake.”

Less than a year later, I fell down the rabbit hole.

It didn’t happen all at once. At first it was curiosity. Then dissonance. Then conviction.

Somewhere in that process, I realized Bitcoin wasn’t just financial—it was philosophical. It was moral. It was real. And it held up a mirror to a life I had built on momentum more than mission.

So I started pruning.

I left Web3.\ I pulled back from projects that ran on hype instead of honesty.\ I repented—for chasing relevance instead of righteousness.\ And I began stacking—not just sats, but new habits. New thinking. New rhythms of faith, work, and rest.

Now at 60, I’m not where I thought I’d be.

But I’m more myself than I’ve ever been.\ More convicted.\ More rooted.\ More ready.

Not to start over—but to build again, from the foundation up.

---

If you're in that middle place—between chapters, between convictions, between certainty and surrender—you're not alone.

🟠 I’m still here. Still building. Still listening.

Zap if this resonates, or send your story. I’d love to hear it.

[*Zap *](https://tinyurl.com/yuyu2b9t)

---

@ 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

@ 4fe14ef2:f51992ec

Let's support Bitcoin merchants! I'd love to hear some of your latest Lightning purchases and interesting products you bought. Feel free to include links to the shops or businesses you bought from.

Who else has a recent purchase they’re excited about? Bonus sats if you found a killer deal! ⚡

Spend sats, not fiat!

If you missed our last thread, here are some of the items stackers recently spent and zap on.

Share and repost: N: https://njump.me/note1r0rllvtns2e8g2rqn0p9uytxucmjzal3pxslldjtfmxwp2amwjjqy3aazq X: https://x.com/AGORA_SN/status/1926579498629169410

https://stacker.news/items/988783

@ 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 ```

@ 2b998b04:86727e47

n an inflationary system, the goal is often just to keep up.

With prices always rising, most of us are stuck in a race:\ Earn more to afford more.\ Spend before your money loses value.\ Monetize everything just to stay ahead of the curve.

Work becomes reactive.\ You hustle to outrun rising costs.\ You take on projects you don’t believe in just to make next month’s bills.\ Money decays. So you move faster, invest riskier, and burn out quicker.

But what happens when the curve flips?

A deflationary economy—like the one Bitcoin makes possible—rewards stillness, reflection, and intentionality.

Time favors the saver, not the spender.\ Money gains purchasing power.\ You’re no longer punished for patience.

You don’t have to convert your energy into cash before it loses value.\ You don’t have to be always on.\ You can actually afford to wait for the right work.

And when you do work—it means more.

💡 The “bullshit jobs” David Graeber wrote about start to disappear.\ There’s no need to look busy just to justify your existence.\ There’s no reward for parasitic middle layers.\ Instead, value flows to real craft, real care, and real proof of work—philosophically and literally.

So what does a job look like in that world?

— A farmer building soil instead of chasing subsidies.\ — An engineer optimizing for simplicity instead of speed.\ — A craftsman making one perfect table instead of ten cheap ones.\ — A writer telling the truth without clickbait.\ — A builder who says no more than they say yes.

You choose work that endures—not because it pays instantly, but because it’s worth doing.

The deflationary future isn’t a fantasy.\ It’s a recalibration.

It’s not about working less.\ It’s about working better.

That’s what Bitcoin taught me.\ That’s what I’m trying to live now.

---

🟠 If you’re trying to align your work with these values, I’d love to connect.\ Zap this post, reply with your story, or follow along as I build—without permission, but with conviction.\ [https://tinyurl.com/yuyu2b9t](https://tinyurl.com/yuyu2b9t)

@ 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

@ 3c7dc2c5:805642a8

🧠Quote(s) of the week:

'The Cantillon Effect: When new money is printed, those closest to the source (banks, elites) benefit first, buying assets before prices rise. Others lose purchasing power as inflation hits later. If people find out how this works, they will riot.' -Bitcoin for Freedom

Just think about it. Your employer gives you a 5% raise. The Fed (central banks in general) prints 7% more dollars/euros/Fiat. You just got a 2% pay cut. This isn't a conspiracy theory. This is how fiat money steals from the working class every single day. This is why I support Bitcoin.

Anilsaidso: 'Saving in fiat currency is no longer an option. A 2% inflation rate means you lose 1/3 of your purchasing power over 20yrs. At 5% inflation, you lose 60%. And at 10% you've burnt 85%. Reduce your uncertainty. Save in Bitcoin.' https://i.ibb.co/N661BdVp/Gr-Rwdg-OXc-AAWPVE.jpg

🧡Bitcoin news🧡

“Education increases conviction.

Conviction increases allocation.

Allocation increases freedom.” —Gigi

https://i.ibb.co/Q3trHk8Y/Gr-Arv-Ioa-AAAF5b0.jpg

On the 12th of May:

➡️Google searches for "Digital Gold" are at all-time highs. Bitcoin Croesus: "This is the second wave of the Digital Revolution - the digitization of value to complement the Internet's digitization of information. It wasn't possible to own a slice of the Internet itself, but it is possible with Bitcoin, the internet of value." "...It feels like you're late to Bitcoin. But this is a bigger game playing out than most realize, and we are much earlier than casual observers know. If you're reading this, you're here on the frontier early. And you have a chance to stake a claim before 99% of the world shows up. This is a land grab. This is the digital gold rush. Make your descendants proud."

https://i.ibb.co/5XXbNQ8S/Gqw-X4-QRWs-AEd5-Uh-1.jpg

➡️ 'A new holding company ‘Nakamoto’ just raised $710 million to buy more Bitcoin and will merge with KindlyMD to establish a Bitcoin Treasury company. Saylor playbook!' - Bitcoin Archive

➡️American Bitcoin, backed by Donald Trump Jr. and Eric Trump, will go public via an all-stock merger with Gryphon Digital Mining. Post-merger, Trump affiliates and Hut 8 will retain 98% ownership. GRYP tripled to $2.19, Hut 8 jumped 11% to $15.45. The deal closes in Q3 2025.

➡️Phoenix Wallet: 'Phoenix 0.6.0 is out: offers can now have a custom description simple close (set an exact mutual close tx fee rate) native support for Linux arm64 This is the server version. Phoenix mobile release is around the corner. '

On the 13th of May:

➡️Corporate Bitcoin purchases have now outweighed the supply of new Bitcoin by 3.3x in 2025. https://i.ibb.co/fVdgQhyY/Gq1ck-XRXUAAsg-Ym.jpg

➡️ Publicly listed Next Technology disclosed buying 5,000 Bitcoin for $180m, now HODLs 5,833 $BTC worth +$600m.

➡️ After rejecting the Arizona Strategic Bitcoin Reserve Act, Governor Katie Hobbs vetoed Bill SB 1373, which proposed a digital asset reserve fund. "Current volatility in the cryptocurrency markets does not make a prudent fit for general fund dollars."

➡️Meanwhile in Paris, France the kidnapping of a woman with her 2-year-old child morning on the streets of Paris - the target is allegedly the daughter of a crypto CEO. 3 masked men tried forcing them into a fake delivery van, before being fought off by her partner and bystanders. One of whom grabbed a dropped gun and aimed it back.

➡️ 'Bitcoin illiquid supply hit a new all-time high of $1.4B Are you HODLing too, anon?' - Bitcoin News

➡️Why Coinbase entering the S&P 500 matters. Boomers will have Bitcoin / CrApTo exposure, whether they like it or not. Anyway, remember what happened in 2021. The COIN IPO, and they’re still trading about 35% below their IPO-day high. Oh and please read the 'Coinbase" hack below haha.

➡️ Nasdaq listed GD Culture Group to sell up to $300 million shares to buy Bitcoin.

➡️ A Bitcoin wallet untouched since April 2014 just moved 300 BTC worth $31M for the first time in 11 years. This is how you HODL.

➡️ Bitcoin's realized price is steadily increasing, mirroring behaviors seen in past bull markets, according to CryptoQuant.

➡️ Bitcoin whales and sharks (10-10K BTC) accumulated 83,105 BTC in the last 30 days, while small retail holders (<0.1 BTC) sold 387 BTC, according to Santiment.

Bitcoin Whales have been AGGRESSIVELY accumulating BTC recently! With at least 240,000+ Bitcoin transferred to wallets with at least 100 BTC. The largest market participants are trying to buy as much as possible, what do they think comes next...

➡️'The average cost of mining 1 BTC for miners is currently $36.8K. The spread between the current market price and the cost of one coin = 182%. This is essentially the average profitability. This corresponds to the beginning of the bull cycle in November 2022 and the peaks of this cycle >$100K. A price increase above this level will allow miners to fully recover after the last halving and reach excess profits comparable to the beginning of the bull rally in January 2023.' -Axel Adler Jr.

➡️ Remember last week's segment on Coinbase..."Coinbase just disclosed in their Q1 filing: that they have custody of 2.68 million Bitcoin. That’s over 13% of all Bitcoin in circulation, on one platform. Is this the greatest honeypot in financial history? Yes, it is...read next week's Weekly Bitcoin update."

Well, here you go.

Coinbase estimates $180-$400 million in losses, remediation costs, and reimbursement following today’s cyber attack. https://i.ibb.co/jkysLtZ1/Gq-C7zl-W4-AAJ0-N6.jpg

Coinbase didn't get hacked. Coinbase employees sold customer data on the black market. Coinbase failed to protect customer data. This is why KYC is useless. The criminals have our driver's license scans. They have AI tools that can generate fake images and videos. KYC puts our identities at risk, makes onboarding more difficult, and rewards criminals. To make it even worse. Coinbase knew about the hack as early as January but only disclosed it publicly after being added to the S&P 500.

I will say it one more time! Don't buy your Bitcoin on KYC exchanges. KYC means handing over your identity to be leaked, sold, or extorted.

It was 2 days ago, see the bit on the 13th of May, that we saw a violent attack in Paris. Minimize the data you share with centralized tools. Store as much as you can locally. Always ask yourself what data am I giving and to whom? Remove the need for trust.

And for the love of God, Allah, or whatever god you are praying to...

DON'T LEAVE YOUR COINS ON A FREAKING EXCHANGE!!!!

Clear!

➡️ Sam Callahan: Bitcoin CAGRs over rolling four-year holding periods since 2012:

10th percentile: 33%

25th percentile: 50% 40th percentile: 75%

Said differently, for 90% of the time, Bitcoin’s four-year CAGR was higher than 33%. For comparison, here are the single best four-year CAGRs over the same period for:

Gold: 17%

Silver: 20%

S&P 500: 24%

Apple: 52%

Two lessons here:

1.) Even when Bitcoin underperforms, it still outperforms.

2.) Bitcoin holding goals are best measured in halving cycles.'

https://i.ibb.co/9m6q2118/Gq1-Ie2-Ob-AAIJ8-Kf.jpg

➡️ Deutsche Bank Aktiengesellschaft has bought 96,870 Strategy₿ stocks for 30 Million dollars at an Average Price Of $310 Per Share In Q1 2025, Their Total Holdings Is 518,000 Shares Worth Over 214 Million Dollars.

➡️Senator Lummis urges the U.S. Treasury to eliminate taxes on unrealized gains for Bitcoin.

On the 14th of May:

➡️At $168,000, Bitcoin will surpass Microsoft, the world's largest company.

➡️Fidelity tells institutions to buy Bitcoin if they can’t match Bitcoin’s 65% return on capital.

➡️Michigan has adopted House Resolution 100, declaring May 13 2025 as "Digital Asset Awareness Day." The resolution encourages "activities and programs that foster a deeper understanding of digital assets and their impact on our society and economy."

➡️Publicly traded Vinanz raises funding to buy $2 million in #Bitcoin assets.

➡️Bitcoin News: "Investor Jim Chanos is shorting MicroStrategy while going long on Bitcoin, calling the stock overvalued relative to its BTC holdings. “We’re selling MicroStrategy and buying Bitcoin, basically buying something for $1 and selling it for $2.50," he told CNBC

On the 15th of May:

➡️The Abu Dhabi sovereign wealth fund disclosed owning $511 million in Bitcoin through BlackRock’s ETF.

➡️UK public company Coinsilium Group raises £1.25 million to adopt a Bitcoin treasury strategy.

➡️Chinese Textile company Addentax issues stock to buy 8,000 Bitcoin.

➡️14 US states have reported $632m in $MSTR exposure for Q1, in public retirement and treasury funds. A collective increase of $302m in one quarter. The average increase in holding size was 44%.

➡️Chinese public company DDC Enterprise to adopt a Bitcoin Reserve with 5,000 BTC.

On the 16th of May:

➡️Brazilian listed company Méliuz buys $28.4 million Bitcoin to become the nation's first Bitcoin Treasury Company. Shareholders voted to approve the strategy by an "overwhelming majority".

➡️13F Filings show Texas Retirement System owns MSTR. The day MSTR enters the S&P 500, every pension fund will follow.

➡️'Wealthy Investors Shift Up to 5% into Bitcoin as confidence in fiat falters. UBS, a Swiss banking giant says Bitcoin and digital assets are becoming key hedges against inflation and systemic risk, marking a dramatic shift in modern portfolio strategy.' -CarlBMenger

➡️River: "Above all, Bitcoin is money for the people." https://i.ibb.co/Jj8MVQwr/Gr-Ew-EPp-XAAA1-TVN.jpg

On the 17th of May:

➡️Illicit activity is now down to 0.14% of transaction volume across all crypto.

Context: World Bank, IMF suggests 1.5–4% of global GDP is laundered yearly through traditional banking Of that 0.14%:

63% of illicit trade was stablecoins.

13% was Bitcoin (declining each year)

Source: The 2025 Crypto Crime Report, Chainalysis 2025

Yet another confirmation that Bitcoin's use in facilitating illicit activities is a rounding error on a rounding error.

On the 18th of May:

➡️JPMorgan CEO Jamie Dimon said they will allow clients to buy Bitcoin. The repeal of SAB 121 is a bigger deal than most realize. “I will fire any employee buying or trading Bitcoin for being stupid” - Jamie Dimon (2017) https://i.ibb.co/b5tnkb15/Gr-Vxxc-OXk-AA7cyo.jpg

On the 19th of May.

➡️Bookmark the following stuff from Daniel Batten if you want to combat climate change (fanatics)...

'That Bitcoin mining is not only not harmful, but beneficial to the environment is now supported by:

7 independent reports

20 peer-reviewed papers

As a result * 90% of climate-focused magazines * 87.5% of media coverage on Bitcoin & the environment is now positive * source 7 independent reports https://x.com/DSBatten/status/1922666207754281449… * 20 peer-reviewed papers https://x.com/DSBatten/status/1923014527651615182… * 10 climate-focused magazines https://x.com/DSBatten/status/1919518338092323260… * 16 mainstream media articles https://x.com/DSBatten/status/1922628399551434755

➡️Saifedean Ammous: '5 years ago at the height of corona hysteria, everyone worried about their savings.

If you put $10,000 in "risk-free" long-term US government bonds, you'd have $6,000 today.

If you put the $10,000 in "risky speculative tulip" bitcoin, you'd have $106,000.

HFSP, bondcucks!'

I love how Saifedean always put it so eloquently. haha

➡️An Australian judge rules Bitcoin is “just another form of money.” This could make it exempt from capital gains tax. Potentially opening the door to millions in refunds across the country. - AFR

If upheld, the decision could trigger up to $1B in refunds and overturn the Australian Tax Office’s crypto tax approach.

➡️Publicly traded Vinanz buys 16.9 Bitcoin for $1.75 Million for their treasury.

➡️Bitcoin just recorded its highest weekly close ever, while the Global Economic Policy Uncertainty Index hit its highest level in history.

➡️4 in 5 Americans want the U.S. to convert part of its gold reserves to Bitcoin. - The Nakamoto Project

"or background, the survey question was: "Assuming the United States was thinking of converting some of their gold reserves into Bitcoin, what percentage would you advise they convert?" Respondents were provided a slider used to choose between 0% and 100%. Our survey consisted of a national sample of 3,345 respondents recruited in partnership with Qualtrics, a survey and data collection company"

Context: https://x.com/thetrocro/status/1924552097565180107 https://i.ibb.co/fGDw06MC/Gr-VYDIdb-AAI7-Kxd.jpg

➡️Michael Saylor's STRATEGY bought another $764.9m Bitcoin. They now HODL 576,230 Bitcoin, acquired for $40.18 billion at $69,726 per Bitcoin.

➡️The German Government sold 49,858 BTC for $2.89B, at an average price of $57,900. If they had held it, their BTC would now be worth $5.24B.

➡️A record 63% of all the Bitcoin that exist have not transacted or moved from their wallets this year. - Wicked

https://i.ibb.co/j9nvbvmP/Gq3-Z-x6-Xw-AAv-Bhg.jpg

💸Traditional Finance / Macro:

On the 12th of May:

👉🏽The S&P 500 has closed more than 20% above its April low, technically beginning a new bull market. We are now up +1,000 points in one month.

On the 13th of May:

👉🏽 Nvidia announces a partnership with Humain to build "AI factories of the future" in Saudi Arabia. Just one hour ago, Saudi Arabia signed an economic agreement with President Trump to invest $600 billion in the US.

🏦Banks:

👉🏽 No news

🌎Macro/Geopolitics:

On the 12th of May:

👉🏽Huge pressure is on the European Union to reach a trade deal. Equities and commodities bounce hard on news of China-US trade deal. "We have reached an agreement on a 90-day pause and substantially moved down the tariff levels — both sides, on the reciprocal tariffs, will move their tariffs down 115%." - Treasury Secretary Scott Bessent

Dollar and Yuan strong bounce. Gold corrects.

👉🏽After reaching a high of 71% this year, recession odds are now back down to 40%. The odds of the US entering a recession in 2025 fall to a new low of 40% following the US-China trade deal announcement.

👉🏽'Truly incredible:

1. Trump raises tariffs: Yields rise because inflation is back
2. Trump cuts tariffs: Yields rise because growth is back
3. Trump does nothing: Yields rise because the Fed won't cut rates Today, the bond market becomes Trump and Bessent's top priority.' - TKL

President Trump’s biggest problem persists even as trade deals are announced. Tariffs have been paused for 90 days, the US-China trade deal has been announced, and inflation data is down. Yet, the 10Y yield is nearing 4.50% again. Trump needs lower rates, but rates won’t fall.

👉🏽Last week a lot of talk on Japan’s Debt Death Spiral: Japan’s 40-year yield is detonating and the myth of consequence-free debt just died with it. One of the best explanations, you can read here:

👉🏽Michael A. Arouet: 'Eye-opening chart. Can a country with a services-based economy remain a superpower? Building back US manufacturing base makes a lot of strategic and geopolitical sense.' https://i.ibb.co/Q3zJY9Fc/Gqxc6-Pt-WQAI73c.jpg

On the 13th of May:

👉🏽There is a possibility of a “big, beautiful” economic rebalancing, Treasury Secretary Scott Bessent says at an investment forum in Saudi Arabia. The “dream scenario” would be if China and the US can work together on rebalancing, he adds

Luke Gromen: It does roll off the tongue a whole lot nicer than "We want to significantly devalue USD v. CNY, via a gold reference point."

Ergo: The price of gold specifically would rise in USD much more than it would in CNY, while prices for other goods and services would not, or would do so to a lesser degree.

👉🏽 Dutch inflation rises to 4.1 percent in April | CBS – final figure. Unchanged compared to the estimate.

👉🏽Philipp Heimberger: This interesting new paper argues that cuts to taxes on top incomes disproportionately benefit the financial sector. The finance industry gains more from top-income tax cuts than other industries. "Cuts in top income tax rates increase the (relative) size of the financial sector"

Source

Kinda obvious, innit?

👉🏽US CPI data released. Overall good results and cooler than expected month-over-month and year-over-year (outside of yearly core). U.S. inflation is down to 2.3%, lower than expected.

On the 14th of May:

👉🏽'The US government cannot afford a recession: In previous economic cycles, the US budget deficit widened by ~4% of GDP on average during recessions. This would imply a ~$1.3 trillion deterioration of US government finances if a recession hits in 2025. That said, if the US enters a recession, long-term interest rates will likely go down.

A 2-percentage-point decrease in interest rates would save ~$568 billion in annual interest payments. However, this means government finances would worsen by more than DOUBLE the amount saved in interest due to a recession. An economic downturn would be incredibly costly for the US government.' -TKL

On the 15th of May:

👉🏽'In the Eurozone and the UK, households hold more than 30% of their financial assets in fiat currencies and bank deposits. This means that they (unknowingly?) allow inflation to destroy their purchasing power. The risks of inflation eating up your wealth increase in a debt-driven economic system characterized by fiscal dominance, where interest rates are structurally low and inflation levels and risks are high. There is so much forced and often failed regulation to increase financial literacy, but this part is never explained. Why is that, you think?' - Jeroen Blokland https://i.ibb.co/zWRpNqhz/Gq-jn-Bn-X0-AAmplm.png

On the 16th of May:

👉🏽'For the first time in a year, Japan's economy shrank by -0.7% in Q1 2025. This is more than double the decline expected by economists. Furthermore, this data does NOT include the reciprocal tariffs imposed on April 2nd. Japan's economy is heading for a recession.' -TKL

👉🏽'246 US large companies have gone bankrupt year-to-date, the most in 15 years. This is up from 206 recorded last year and more than DOUBLE during the same period in 2022. In April alone, the US saw 59 bankruptcy filings as tariffs ramped up. So far this year, the industrials sector has seen 41 bankruptcies, followed by 31 in consumer discretionary, and 17 in healthcare. According to S&P Global, consumer discretionary companies have been hit the hardest due to market volatility, tariffs, and inflation uncertainty. We expect a surge in bankruptcies in 2025.' -TKL

👉🏽'Moody's just downgraded the United States' credit rating for the FIRST time in history. The reason: An unsustainable path for US federal debt and its resulting interest burden. Moody's notes that the US debt-to-GDP ratio is on track to hit 134% by 2035. Federal interest payments are set to equal ~30% of revenue by 2035, up from ~18% in 2024 and ~9% in 2021. Furthermore, deficit spending is now at World War 2 levels as a percentage of GDP. The US debt crisis is our biggest issue with the least attention.' - TKL

Still, this is a nothing burger. In August 2023, when Fitch downgraded the US to AA+, and S&P (2011) the US became a split-rated AA+ country. This downgrade had almost no effect on the bond market. The last of the rating agencies, Moodys, pushed the US down to AA+ today. So technically it didn’t even change the US’s overall credit rating because it was already split-rated AA+, now it’s unanimous AA+.

Ergo: Nothing changed. America now shares a credit rating with Austria and Finland. Hard assets don’t lie. Watch Gold and Bitcoin.

https://i.ibb.co/Q7DcWY2P/Gr-K66i-EXIAAKh-MR.jpg

RAY DALIO: Credit Agencies are UNDERSTATING sovereign credit risks because "they don't include the greater risk that the countries in debt will print money to pay their debts" with devalued currency.

👉🏽US consumer credit card serious delinquencies are rising at a CRISIS pace: The share of US credit card debt that is past due at least 90 days hit 12.3% in Q1 2025, the highest in 14 YEARS. The percentage has risen even faster than during the Great Financial Crisis.' - Global Markets Investor

https://i.ibb.co/nNH9CxVK/Gr-E838o-XYAIk-Fyn.png

On the 18th of May:

👉🏽Michael A. Arouet: 'Look at ten bottom of this list. Milei has not only proven that real free market reforms work, but he has also proven that they work fast. It’s bigger than Argentina now, no wonder that the left legacy media doesn’t like him so much.' https://i.ibb.co/MDnBCDSY/Gr-Npu-KKWMAAf-Pc.jpg

On the 19th of May: 👉🏽Japan's 40-year bond yield just hit its highest level in over 20 years. Japan’s Prime Minister Ishiba has called the situation “worse than Greece.” All as Japan’s GDP is contracting again. You and your mother should be scared out of your fucking minds. https://i.ibb.co/rGZ9cMtv/GTXx-S7-Cb-MAAOu-Vt.png

👉🏽 TKL: 'Investors are piling into gold funds like never before: Gold funds have posted a record $85 BILLION in net inflows year-to-date. This is more than DOUBLE the full-year record seen in 2020. At this pace, net inflows will surpass $180 billion by the end of 2025. Gold is now the best-performing major asset class, up 22% year-to-date. Since the low in October 2022, gold prices have gained 97%. Gold is the global hedge against uncertainty.'

🎁If you have made it this far, I would like to give you a little gift, well, in this case, two gifts:

What Bitcoin Did - IS THE FED LOSING CONTROL? With Matthew Mezinskis

'Matthew Mezinskis is a macroeconomic researcher, host of the Crypto Voices podcast, and creator of Porkopolis Economics. In this episode, we discuss fractional reserve banking, why it's controversial among Bitcoiners, the historical precedent for banking practices, and whether fractional reserve banking inherently poses systemic risks. We also get into the dangers and instabilities introduced by central banking, why Bitcoin uniquely offers a pathway to financial sovereignty, the plumbing of the global financial system, breaking down money supply metrics, foreign holdings of US treasuries, and how all these elements indicate growing instability in the dollar system.'

https://youtu.be/j-XPVOl9zGc

Credit: I have used multiple sources!

My savings account: Bitcoin The tool I recommend for setting up a Bitcoin savings plan: PocketBitcoin especially suited for beginners or people who want to invest in Bitcoin with an automated investment plan once a week or monthly.

Use the code SE3997

Get your Bitcoin out of exchanges. Save them on a hardware wallet, run your own node...be your own bank. Not your keys, not your coins. It's that simple. ⠀ ⠀

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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.

@ 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?

@ 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

@ 6389be64:ef439d32

Most nematodes are beneficial and "graze" on black vine weevil, currant borer moth, fungus gnats, other weevils, scarabs, cutworms, webworms, billbugs, mole crickets, termites, peach tree borer and carpenter worm moths.

They also predate bacteria, recycling nutrients back into the soil and by doing so stimulates bacterial activity. They act as microbial taxis by transporting microbes to new locations of soil as they move through it while providing aeration.

https://stacker.news/items/988573

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This event has been deleted; your client is ignoring the delete request.

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In March 2020, Lucas was afraid.

The economy was grinding to a halt. Markets were in freefall. In a sweeping response, the Federal Reserve launched an unprecedented intervention—buying everything from Treasury bonds and mortgages to corporate debt, expanding the money supply by $4 trillion. At the same time, the U.S. government issued over $800 billion in stimulus checks to households across the country.

These extraordinary measures may have averted a wave of business failures and bank runs—but they came at a cost: currency debasement and rising inflation. Alarmed by the scale of central bank intervention and its consequences for savers, Lucas decided to act.

In a state of mild panic, he withdrew $15,000 from his bank account and bought ten gold coins. Then he took another $10,000 and bought two bitcoins. If the dollar system failed, Lucas wanted something with intrinsic value he could use.

He mentioned his plan to his friend Daniel, who laughed.

“Why don’t you stock up on guns and cigarettes while you’re at it?” Daniel quipped. “The Fed is doing what it has to—stabilizing the economy in a crisis. Sure, $4 trillion is a lot of money, but it's backed by the most productive economy on Earth. Don’t panic. The world’s not ending.”

To prove his point, Daniel put $25,000 into the S&P 500—right at the pandemic bottom.

And he was right. Literally.

By Spring 2025, the stock market was near all-time highs. The world hadn’t ended. The U.S. economy kept moving, more or less as usual. Daniel’s investment had nearly tripled—his $25,000 had grown to $65,000.

But oddly enough, Lucas’ seemingly panicked reaction had been both prudent and profitable.

His gold coins had climbed from $1,500 to $3,300 apiece—a 120% gain. Bitcoin had soared from $5,000 to $90,000, making his two coins worth $180,000. Altogether, Lucas’s $25,000 allocation had grown to $213,000—a nearly 10x return. And his goal wasn’t even profit. It was safety.

With that kind of fortune, you’d expect Lucas to feel confident, even serene. He had more than enough to preserve his purchasing power, even in the face of years of inflation.

But in the spring of 2025, Lucas felt anything but calm.

He was uneasy—gripped by a sense that the 2020 crisis hadn’t been a conclusion, but a prelude.

In his mind, 2020 was just the latest chapter in a troubling sequence: the Asian financial crisis in 1998, the global financial crisis in 2008, the pandemic shock of 2020. Each crisis had been more sudden, more sweeping, and more dependent on emergency measures than the last.

And Lucas couldn’t shake the feeling that the next act—whenever it came—would be more disruptive, more severe, and far more damaging.

@ 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!

@ 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.

@ 9c9d2765:16f8c2c2

CHAPTER TWENTY EIGHT

“He’s not just surviving,” Helen hissed through clenched teeth, her heels striking the marble floors of her penthouse like war drums. “He’s thriving, and it’s infuriating.”

Mark leaned against the window, watching the evening lights of the city shimmer beneath them. “That transparency stunt he pulled? Genius,” he muttered. “It shut down every accusation we tried to plant before it could sprout.”

Helen turned abruptly. “Then we change the terrain. If he’s building on trust, we flood him with betrayal. We turn his loyalists into doubters.”

Mark raised a brow. “And how do you propose we do that?”

She walked over to the coffee table, picked up a manila envelope, and tossed it onto his lap. It opened with a quiet rustle, revealing photos some staged, others manipulated of James in ambiguous meetings, with headlines drafted in bold red: “JP President Linked to Foreign Espionage?”, “Undisclosed Meetings with Rival Companies.”

“These go live next week,” Helen said coldly. “And if we can’t break his empire from the outside, we’ll corrode it from within.”

Meanwhile, across the city, James stood in the training hall of JP Enterprises, overseeing a leadership seminar. The room brimmed with young professionals, eager minds molded by his vision. He paced slowly, hands behind his back.

“Leadership isn’t about dominance,” he said, his voice calm yet commanding. “It’s about service. True power lies in how many people rise because of you, not how many kneel before you.”

Applause followed, but James’s mind drifted. The storm was coming and he could feel it. The shadows hadn’t retreated; they’d merely been biding their time. But what Helen and Mark underestimated was the strength of what he’d built. This time, he wasn’t alone.

After the seminar, he returned to his office where Rita and Charles were already waiting.

“They’re not backing down,” Rita said, placing a thick fillet on his desk. “Our cybersecurity team intercepted metadata from an anonymous article scheduled to be released next Monday. It traces back to one of Helen’s known shell accounts.”

Charles leaned forward. “They’re targeting your integrity again, James. This time with international implications. If this goes public, it could trigger a full-scale investigation even if the claims are false.”

James took a deep breath. “Then it’s time to activate Project Aegis.”

Rita’s eyes widened. “You mean?”

“Yes,” James affirmed. “Full legal exposure. Every executive, every document, every deal for the last five years. We publish it ourselves before they can twist it.”

Charles nodded slowly, admiration gleaming in his eyes. “You're not just playing defense anymore.”

“No,” James said, his voice resolute. “I’m done playing. It’s time they learn integrity is not a weakness. It’s my greatest strength.”

That same night, Helen and Mark received a notification that sent chills down their spines. Every major news outlet was now broadcasting a preemptive report by JP Enterprises: “A Legacy in the Light JP Enterprises Opens Vaults to Public Scrutiny”. The article was followed by interviews with board members, stakeholders, and long-time employees all affirming James’s character and transparency.

Helen clenched her jaw, watching the screen with cold fury. “He’s rewriting the rules…” she muttered.

“No,” Mark whispered. “He’s building a world where we don’t exist.”

In the quiet of his penthouse office, James stood by the tall glass windows, the city’s nightscape shimmering beneath a sky painted in indigo hues. A cup of untouched coffee sat on the mahogany desk behind him. His reflection merged with the sprawling lights of a man once discarded, now the pillar of a corporate empire.

Despite the outward calm, James’s mind churned like a brewing storm. The recent smear campaign, although crushed by his proactive transparency, had planted seeds of uncertainty in some corners of the public. He knew Helen and Mark were far from surrendering. Their strategy had evolved into psychological warfare planting doubt, sowing division, manipulating perception.

“It’s time to start setting traps of our own,” he murmured under his breath.

He turned from the window as Charles entered the room, holding a tablet.

“It’s worse than we anticipated,” Charles began, concerned with furrowing his brow. “They’ve been funneling money through offshore accounts, paying journalists, bloggers, even some minor influencers to perpetuate false narratives. They’re not just trying to ruin your reputation, they're orchestrating a hostile takeover.”

James exhaled, slowly walking to his desk. “Then we play them at their own game but with honor. I want a full audit of every subsidiary tied to Ray Enterprises and Helen’s private ventures. Any shadow move they’ve made, I want it exposed legally, publicly, and without a hint of impropriety.”

Charles gave a resolute nod. “I’ll get our internal compliance team on it tonight.”

Meanwhile, across town, Helen sat before a marble fireplace in her lavish estate, her fingers tapping impatiently against a crystal glass of wine. Mark sat across from her, scrolling through dozens of negative online articles none of which were about James.

“He flipped the story again,” Mark said bitterly. “People are actually praising him for his transparency. Investors are swarming back. Even media outlets we bribed are retracting their pieces just to avoid a lawsuit.”

Helen’s eyes burned with fury. “Then we escalate. If he wants to play hero, we’ll paint him as a fraud who built an empire on stolen foundations. Everyone has a skeleton buried deep. We just need to find his.”

Back at JP Enterprises, James was meeting with Rita and a trusted cybersecurity analyst, a sharp-eyed woman named Lilian.

“We’ve traced an internal breach,” Lilian reported. “One of the forwarded articles that nearly made it to international outlets was leaked from someone inside our media division.”

Rita frowned. “Tracy.”

James nodded slowly. “She’s the thread connecting Mark and Helen’s plots. But she’s not alone. There’s another… more subtle player behind all this. And I intend to flush them out without alerting the rats.”

The next day, James called a confidential press meeting. With calm confidence, he unveiled The Integrity Initiative, a new transparency program offering unprecedented access to the inner workings of JP Enterprises for all stakeholders.

“We’ve built this company on the belief that truth withstands scrutiny,” he said, his voice echoing through the hall. “We have nothing to hide and for those trying to destroy us with lies, we welcome your eyes. Because when the truth stands tall, shadows disappear.”

The speech went viral within hours. Critics became advocates. Doubters became loyalists. And for Mark and Helen, the walls began to close in faster than they expected.

It had been two days since James’s press conference, and the atmosphere in the city’s business sphere had shifted noticeably. Conversations once filled with doubt and suspicion about JP Enterprises now carried admiration and curiosity. The sudden introduction of The Integrity Initiative had stirred an entirely new level of respect for the company and for James as its helmsman.

@ 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.

@ 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!

@ 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.

@ 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.

@ 21810ca8:f2e8341e

If so, please comment. So I can see if Nostr works for me.

@ eb0157af:77ab6c55

Michigan lawmakers are unveiling a comprehensive strategy to regulate Bitcoin and cryptocurrencies.

On May 21, Republican Representative Bill Schuette introduced House Bill 4510, a proposal to amend the Michigan Public Employee Retirement System Investment Act. The legislation would allow the state treasurer, currently Rachael Eubanks, to diversify the state’s investments by including cryptocurrencies with an average market capitalization of over $250 million in the past calendar year.

Under current criteria, Bitcoin (BTC) and Ether (ETH) are the only cryptocurrencies that meet these selection standards. The proposal specifies that any investment in digital assets must be made through exchange-traded products (spot ETFs) issued by registered investment companies.

Anti-CBDC legislation

Republican Representative Bryan Posthumus is leading the bipartisan initiative behind the second bill, HB 4511, which establishes protections for cryptocurrency holders. The proposal prohibits Michigan from implementing crypto bans or imposing licensing requirements on digital asset holders.

Another key aspect of the legislation is a ban on state officials from supporting or promoting a potential federal central bank digital currency (CBDC). The definition includes the issuance of memorandums or official statements endorsing CBDC proposals related to testing, adoption, or implementation.

Mining and redevelopment of abandoned sites

The third bill, HB 4512, is a proposal led by Democratic Representative Mike McFall for a bipartisan group. This initiative would establish a Bitcoin mining program allowing operators to use abandoned oil and natural gas sites.

The program calls for the appointment of a supervisor tasked with assessing the site’s remaining productive potential, identifying the last operator, and determining the length of abandonment. Prospective participants would need to submit detailed legal documentation of their organizational structure, demonstrate operational expertise in mining, and provide profitability breakeven estimates for their ventures.

The fourth and final bill, HB 4513, also introduced by the bipartisan group led by McFall, focuses on the fiscal aspect of the HB 4512 initiative. The proposal would amend Michigan’s income tax laws to include proceeds generated from the proposed Bitcoin mining program.

The post Michigan: four bills on pension funds, CBDCs, and mining appeared first on Atlas21.

@ 58537364:705b4b85

“Any society that sets intellectual development as its goal will continually progress, without end—until life is liberated from problems and suffering. All problems can ultimately be solved through wisdom itself.

The signpost pointing toward ‘wisdom’ is the ability to think—or what is called in Dhamma terms, ‘yoniso-manasikāra,’ meaning wise or analytical reflection. Thinking is the bridge that connects information and knowledge with insight and understanding. Refined or skillful thinking enables one to seek knowledge and apply it effectively.

The key types of thinking are:

• Thinking to acquire knowledge
• Thinking to apply knowledge effectively In other words, thinking to gain knowledge and thinking to use that knowledge. A person with knowledge who doesn’t know how to think cannot make that knowledge useful. On the other hand, a person who thinks without having or seeking knowledge will end up with nothing but dreamy, deluded ideas. When such dreamy ideas are expressed as opinions, they become nonsensical and meaningless—mere expressions of personal likes or dislikes.

In this light, the ‘process of developing wisdom’ begins with the desire to seek knowledge, followed by the training of thinking skills, and concludes with the ability to express well-founded opinions. (In many important cases, practice, testing, or experimentation is needed to confirm understanding.)

Thus, the thirst for knowledge and the ability to seek knowledge are the forerunners of intellectual development. In any society where people lack a love for knowledge and are not inclined to search for it, true intellectual growth will be difficult. That society will be filled with fanciful, delusional thinking and opinions based merely on personal likes and dislikes. For the development of wisdom, there must be the guiding principle that: ‘Giving opinions must go hand-in-hand with seeking knowledge. And once knowledge is gained, thinking must be refined and skillful.’”

— Somdet Phra Buddhaghosacariya (P.A. Payutto) Source: Dhamma treatise “Organizing Society According to the Ideals of the Sangha”

Note: “Pariyosāna” means the complete conclusion or the final, all-encompassing end.

---

“We must emphasize the pursuit of knowledge more than merely giving opinions. Opinions must be based on the most solid foundation of knowledge.

Nowadays, we face so many problems because people love to express opinions without ever seeking knowledge.”

— Somdet Phra Buddhaghosacariya (P.A. Payutto)

@ 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.

@ eb0157af:77ab6c55

A fake Uber driver steals $73,000 in XRP and $50,000 in Bitcoin after drugging an American tourist.

A U.S. citizen vacationing in the United Kingdom fell victim to a scam that cost him $123,000 in cryptocurrencies stored on his smartphone. The man was drugged by an individual posing as an Uber driver.

According to My London, Jacob Irwin-Cline had spent the evening at a London nightclub, consuming several alcoholic drinks before requesting an Uber ride home. The victim admitted he hadn’t carefully verified the booking details on his device, mistakenly getting into a private taxi driven by someone who, at first glance, resembled the expected Uber driver but was using a completely different vehicle.

Once inside the car, the American tourist reported that the driver offered him a cigarette, allegedly laced with scopolamine — a rare and powerful sedative. Irwin-Cline described how the smoke made him extremely docile and fatigued, causing him to lose consciousness for around half an hour.

Upon waking, the driver ordered the victim to get out of the vehicle. As Irwin-Cline stepped out, the man suddenly accelerated, running him over and fleeing with his mobile phone, which contained the private keys and access to his cryptocurrencies. Screenshots provided to MyLondon show that $73,000 worth of XRP and $50,000 in bitcoin had been transferred to various wallets.

This incident adds to a growing trend of kidnappings, extortions, armed robberies, and ransom attempts targeting crypto executives, investors, and their families.

Just a few weeks ago, the daughter and grandson of Pierre Noizat, CEO of crypto exchange Paymium, were targeted in a kidnapping attempt in Paris. The incident took place in broad daylight when attackers tried to force the family into a parked vehicle. However, Noizat’s daughter managed to fight off the assailants.

The post American tourist drugged and robbed: $123,000 in crypto stolen in London appeared first on Atlas21.

@ 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.

@ 15cf81d4:b328e146

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💻 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.

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• 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.
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⚠️ 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

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@ 9c9d2765:16f8c2c2

CHAPTER TWENTY SEVEN “We’re finished,” she snapped, pacing furiously. “They’ve locked every door. We’ve been blacklisted by every reputable firm in the city. No one's taking our calls, and now the tax authorities are sniffing around!”

Mark stood slowly, still holding the glass. “It’s all because of him,” he growled. “James. That street rat turned king. He’s poisoned the whole industry against us.”

Helen scoffed. “He didn’t poison it. He conquered it. You and I? We underestimated him. We saw rags and never imagined the gold beneath.”

There was a moment of raw, uncomfortable silence.

“And now,” she added bitterly, “he owns not just the Ray company but the story. The people adore him. Every misstep we make adds to his legend.”

Mark turned away, the fury in his chest simmering just below the surface. “Then maybe it’s time we stop playing by his rules.”

Helen raised an eyebrow. “What are you thinking?”

“Something permanent,” he said coldly. “Something that’ll make the city question his legacy. We won’t touch him directly. But we’ll dismantle everything around him his alliances, his investors, his trust.”

Meanwhile, at JP Enterprises, James was meeting with his board members. The mood was triumphant. Contracts were flowing in from across the nation. Investors from overseas were lining up to collaborate. JP Enterprises was no longer a local giant, it was becoming a global force.

As the board meeting wrapped up, Charles approached James with a discreet file.

“We’ve uncovered something,” he said in a hushed tone. “Helen and Mark have begun contacting shell companies. They’re orchestrating something through offshore accounts. It’s not clear yet, but they’re moving funds and people.”

James took the file, flipping through the pages with a calm intensity. “They never learn,” he murmured. “Desperation is a dangerous motivator.”

Charles nodded. “Shall we alert the authorities?”

James paused. “Not yet. Let them think they’re getting away with it. Let them build the stage. And when the curtains rise, we’ll pull the spotlight on them ourselves.”

Outside, the sky turned amber as dusk crept over the horizon. Somewhere in the city, Mark and Helen were plotting their next move. But in the heart of JP Enterprises, James was already five steps ahead.

The night veiled the city in a silvery calm, but within the walls of an abandoned warehouse at the edge of town, shadows danced beneath flickering fluorescent lights. Mark and Helen stood amidst crates of outdated office furniture and rusted metal, far removed from the lavish boardrooms they once commanded. Their pride, now fragments, echoed in every creak of the floor beneath them.

“We’ve traced every name that still owes us favors,” Mark said, unfolding a large sheet of paper across a makeshift table. “This is our web. Media contacts. Shell consultants. A few digital mercenaries.”

Helen leaned over the table, eyes scanning the diagram. “It’s not about hitting him,” she whispered. “It’s about bleeding his legacy. Bit by bit. We drown him in whispers, not weapons.”

Their plan was insidious smear campaigns seeded in anonymous blogs, fabricated audits from paid ‘inspectors,’ leaks of doctored company records, and the reawakening of James’s past, even if the ghosts had already been proven false. They would question every victory he had, casting shadows over every triumph. If they couldn’t win, they would ruin the game.

Meanwhile, back at JP Enterprises, James sat in his office high above the city. The glass walls gave him a breathtaking view, but his gaze was introspective. His mind wandered through recent events the betrayal, the accusations, the painful resurgence of a forgotten past. But what stood out most was not the malice of others. It was how he had endured.

Charles entered the office, a slight knock preceding him. “We’ve secured the last two tech firms you were eyeing. Their CEOs are prepared to sign exclusive partnerships. Also, the board wants to recognize you officially as Global CEO during next month’s summit.”

James smiled faintly, though his eyes retained a solemn hue. “Good. But there’s something more important.” He turned his laptop around, displaying a series of anonymous online threads riddled with false claims and slander.

“They’ve begun,” he said softly. “Helen and Mark are orchestrating a campaign to rot our foundation from the inside out.”

Charles's expression darkened. “Should I initiate a counter-sweep?”

James shook his head. “No. We don’t fight shadows with swords. We fight them with light.” He paused, then added, “I want full transparency reports across every department. I want our investors to see our books before they ask. I want our work to speak so loudly, their lies get drowned out.”

In a conference the following morning, James stood before hundreds of stakeholders and partners, unveiling a revolutionary corporate transparency portal. Real-time audits, project status updates, and salary distributions were now accessible to all registered partners. The press called it “the death of corporate secrecy.”

While Mark and Helen were weaving illusions, James was showcasing reality.

Yet in the shadows, Helen grew more frustrated.

“He’s not cracking!” she shouted, hurling a tablet against the floor. “How is he still standing?”

Mark sat, quiet for once, rubbing his temples. “Because he’s not the man we knew. He’s not the beggar we mocked. He’s become… untouchable.”

Helen turned, her eyes blazing. “Then we don’t touch him. We find someone he cares about. We make him feel vulnerable again.”

Mark didn’t speak, but the silence between them felt like a pact being sealed.

Back at JP Enterprises, James met with Rita. Her sharpness and integrity had restored much of the company’s cultural fabric. He trusted her, more than most. And as they walked the office floors together, they discussed not just projects, but the future that would soon test every bond, every alliance.

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Banking giants JPMorgan, Bank of America, Citigroup, and Wells Fargo are in talks to develop a unified stablecoin solution.

According to the Wall Street Journal on May 22, some of the largest financial institutions in the United States are exploring the possibility of joining forces to launch a stablecoin.

Subsidiaries of JPMorgan, Bank of America, Citigroup, and Wells Fargo have initiated preliminary discussions for a joint stablecoin issuance, according to sources close to the matter cited by the WSJ. Also at the negotiating table are Early Warning Services, the parent company of the digital payments network Zelle, and the payment network Clearing House.

The talks are reportedly still in the early stages, and any final decision could change depending on regulatory developments and market demand for stablecoins.

Stablecoin regulation

On May 20, the US Senate voted 66 to 32 to advance discussion of the Guiding and Establishing National Innovation for US Stablecoins Act (GENIUS Act), a specific law to regulate stablecoins. The bill outlines a regulatory framework for stablecoin collateralization and mandates compliance with anti-money laundering rules.

David Sacks, White House crypto advisor, expressed optimism about the bill’s bipartisan approval. However, senior Democratic Party officials intend to amend the bill to include a clause preventing former President Donald Trump and other US officials from profiting from stablecoins.

Demand for stablecoins has increased, with total market capitalization rising to $245 billion from $205 billion at the beginning of the year, a 20% increase.

The post Major US banks consider launching a joint stablecoin appeared first on Atlas21.

@ 3283ef81:0a531a33

Why
is
this
not

on
separate
lines

@ 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.”

@ 6c05c73e:c4356f17

Descrição da empresa

Fundada em 1961, a WEG é uma empresa global de equipamentos eletroeletrônicos, atuando principalmente no setor de bens de capital com soluções em máquinas elétricas, automação e tintas, para diversos setores, incluindo infraestrutura, siderurgia, papel e celulose, petróleo e gás, mineração, entre muitos outros.

A WEG se destaca em inovação pelo desenvolvimento constante de soluções para atender as grandes tendências voltadas a eficiência energética, energias renováveis e mobilidade elétrica. Com operações industriais em 17 países e presença comercial em mais de 135 países, a companhia possui mais de 47.000 mil colaboradores distribuídos pelo mundo.

Em 2024, a WEG atingiu faturamento líquido de R$38,0 bilhões, destes 57,0% proveniente das vendas realizadas fora do Brasil.

acao wege3

Vendendo soluções para os clientes

"Na febre do ouro, muito garimpeiros corriam atrás de ouro para ficar ricos. Enquanto isso, muita gente enriqueceu vendendo pás, roupas, bebidas, cigarros e mantimentos para eles…”

Em um mundo dominado cada vez mais por Inteligência Artificial, carros elétricos e tecnologias quânticas. A Wege segue se destacando por oferecer equipamentos e parte da estrutura pode detrás para que essas tecnologias possam existir. Focada em inovação e performance. A empresa oferece soluções de ponta a ponta para os mais variados setores da indústria.

Visão geral da empresa

A Wege atua no setor de máquinas e equipamentos. Se formos fazer um refino, podemos dizer que ela atua em subsetores tais como: motores, compressores e outros.

Mercado que atua

O setor de máquinas e equipamentos no Brasil em 2024 enfrentou um cenário desafiador, com uma queda na receita líquida, mas também mostrou sinais de recuperação e algumas perspectivas positivas em segmentos específicos e no início de 2025.

A WEG é gigante no mundo todo. Os caras têm fábricas e filiais em mais de 40 países, espalhados por todos os continentes. A estratégia dos caras é expandir sempre, comprando outras empresas e investindo pesado em mercados-chave. A empresa foca em: Expansão, inovação e sustentabilidade.

Mercado

Grana Alta: Em 2024, o mercado global de máquinas e equipamentos valeu uns US$ 205,67 bilhões. Já a parte de motores elétricos, chegou a uns US$ 152,2 bilhões. A parada é que a automação industrial, que é a cara do futuro, estava em uns US$ 192,02 bilhões em 2024. É muita grana rolando!

As empresas estão investindo cada vez mais em IA (Inteligência artificial), IOT (internet das coisas, robótica e fabricação sustentável.

Perspectiva de crescimento A parada é que esse mercado tá com gás total pra crescer nos próximos anos, parceiro:

Máquinas e Equipamentos: A expectativa é que o mercado global de máquinas e equipamentos cresça cerca de 6,57% ao ano até 2033, podendo chegar a uns US$ 364,66 bilhões.

Motores Elétricos: Esse setor tá prometendo um crescimento de uns 6,3% ao ano até 2029, podendo bater uns US$ 206,4 bilhões. A demanda por carros elétricos tá puxando muito esse crescimento.

Automação Industrial: Essa é a cereja do bolo! A expectativa é que o mercado de automação industrial dispare uns 9,1% ao ano até 2033, alcançando uns US$ 420,49 bilhões. A busca por mais produtividade, menos erros e mais eficiência tá impulsionando essa onda.

Materia sobre carros eletricos

Oportunidades que o ativo traz

Na minha visão, as maiores oportunidades que a Wege nos traz são:

1. Equipamentos Eletroeletrônicos Industriais

   Esta área inclui os motores elétricos, drives e equipamentos e serviços de automação industrial e serviços de manutenção. Os motores elétricos e demais equipamentos têm aplicação em praticamente todos os segmentos industriais, em equipamentos como compressores, bombas e ventiladores.

2. Geração Transmissão e Distribuição de Energia (GTD)

   Os produtos e serviços incluídos nesta área são os geradores elétricos para usinas hidráulicas e térmicas (biomassa), turbinas hidráulicas (PCH e CGH), aerogeradores, transformadores, subestações, painéis de controle e serviços de integração de sistemas.

3. Motores Comerciais e Appliance

   O foco de atuação nesta área é o mercado de motores monofásicos para bens de consumo durável, como lavadoras de roupas, aparelhos de ar condicionado, bombas de água, entre outros.

cotacao wege3

Desde Janeiro/25, podemos observar que o gráfico teve uma queda no seu preço. Contudo, continua se mantendo acima da ema200 e com ótimo volume negociado. Isso tudo caracteriza que a tendência majoritária ainda é compradora. Então, devemos pensar em atuar somente nesse sentido.

Riscos

Os maiores riscos que vejo hoje, para uma empresa tão sólida como Wege são:

1. Instabilidade Econômica Global e Regional, qualquer flutuação em mercado chave atuante pode representar um risco.
2. Inflação e Custo de Insumos, principalmente aço e cobre que são matérias prima base.
3. Políticas Tarifárias e Protecionismo, se o homem laranja dos EUA impor tarifas. Pode afetar sim os negócios da empresa como um todo.

trump

Catalisadores

Na minha visão, os catalisadores da empresa. Que impulsionam e continuaram dando força a ela são:

distribuicao receita

• Forte diversificação de receita, 53% vem em dólar.
• Boa perspectiva do aumento do valor do dólar. Isso representa mais caixa.
• As aquisiçõess feitas recentemente, que vão impulsionar a receita da empresa.

aquisicao wege

Faq

Qual foi o desempenho da WEGE3 nas últimas 52 semanas?

13.95% foi desempenho das ações da WEGE3 até o momento.

WEGE3 paga dividendos? Qual o Dividend Yield (DY) da WEGE3?

Sim, WEGE3 (WEG) paga dividendos e juros sobre capital próprio (JCP). O Dividend Yield (DY) da WEGE3 tem variado ao longo do tempo, mas geralmente se encontra entre 1,4% e 1,8%, dependendo da cotação atual das ações e dos valores de dividendos e JCP distribuídos.

O que é a WEG? Qual o setor de atuação da WEG?

A WEG é uma empresa global de equipamentos eletroeletrônicos, que atua principalmente no setor de bens de capital. A empresa se destaca por suas soluções em máquinas elétricas, automação, tintas e sistemas de energia, com foco em eficiência energética e sustentabilidade.

Quais produtos a WEG fabrica?

A WEG produz uma vasta gama de produtos e soluções, abrangendo desde equipamentos elétricos e eletrônicos até tintas e vernizes.

Qual é o P/L (Preço sobre Lucro) da WEGE3?

O P/L (Preço sobre Lucro) da WEGE3, conforme indicadores de mercado, está em torno de 29,32.

Bio

Investir não precisa ser um bicho de sete cabeças! Na Threedolar, democratizamos o acesso ao mundo dos investimentos, oferecendo conteúdo claro e prático. Comece hoje mesmo a construir seu futuro financeiro!

Disclaimer

Lembre-se: este não é um conselho de investimento. Faça sua própria pesquisa antes de investir. Resultados passados não garantem lucros futuros. Cuide do seu dinheiro!

Referencia

https://api.mziq.com/mzfilemanager/v2/d/50c1bd3e-8ac6-42d9-884f-b9d69f690602/161a9930-5b12-3b03-758b-3b6d2b725211?origin=1

https://www.fundamentus.com.br/detalhes.php?papel=WEGE3&h=1

https://ri.weg.net/a-weg/perfil-corporativo/

https://ri.weg.net/a-weg/por-que-a-weg/

https://www.cnnbrasil.com.br/auto/carros-eletrificados-registram-85-de-aumento-nas-vendas-de-2024/

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https://stacker.news/items/988759

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Original: https://www.yakihonne.com/article/naddr1qvzqqqr4gupzqgguqwf52cyve89xnxc4eh95jklelgw646kkkcdhxm4fp05jvtzdqq2hj6fhtpqkuutdv4xxxazjv9t92atedev45mcwusz

Nihon no kakuseizai Nihon no kakusei-zai bijinesu no yami: Keisatsu, bōryokudan, soshite chinmoku no kyōhan kankei' no shinsō** 1. Bōryokudan no shihai kōzō (kōteki dēta ni motodzuku) yunyū izon no riyū: Kokunai seizō wa kon'nan (Heisei 6-nenkakusei-zai genryō kisei-hō' de kisei kyōka)￫ myanmā Chūgoku kara no mitsuyu ga shuryū (Kokuren yakubutsu hanzai jimusho World Drug Report 2023'). Bōryokudan no rieki-ritsu: 1 Kg-atari shiire kakaku 30 man-en ￫ kouri kakaku 500 man ~ 1000 man-en (Keisatsuchōyakubutsu jōsei hōkoku-sho' 2022-nen). 2. Keisatsu to bōryokudan no kyōsei kankei' taiho tōkei no fushizen-sa: Zen yakubutsu taiho-sha no 70-pāsento ga tanjun shoji (kōsei Rōdōshōyakubutsu ran'yō jōkyō' 2023-nen). Mitsuyu soshiki no tekihatsu wa zentai no 5-pāsento-miman (tōkyōchikentokusōbu dēta). Media no kenshō: NHK supesharu kakusei-zai sensō'(2021-nen) de shiteki sa retamattan yūzā yūsen sōsa' no jittai. 3. Mujun suru genjitsu juyō no fukashi-sei: G 7 de saikō no kakusei-zai kakaku (1 g-atari 3 ~ 7 man-en, Ō kome no 3-bai)￫ bōryokudan no bōri (Zaimushō soshiki hanzai shikin ryūdō chōsa'). Shiyōsha-ritsu wa hikui (jinkō no 0. 2%, Kokuren chōsa) ga, taiho-sha no kahansū o shimeru mujun. 4.Mitsuyu soshiki taisaku' no genkai kokusai-tekina shippai rei: Mekishiko (karuteru tekihatsu-go mo ichiba kakudai), Ōshū (gōsei yakubutsu no man'en)￫ daitai soshiki ga sokuza ni taitō (Ei ekonomisuto' 2023-nen 6 tsuki-gō). Nippon'nochiri-teki hande: Kaijō mitsuyu no tekihatsu-ritsu wa 10-pāsento-miman (Kaijōhoanchō hōkoku). 5. Kaiketsusaku no saikō (jijitsu ni motodzuku teian) ADHD chiryō-yaku no gōhō-ka: Amerika seishin'igakukaiADHD kanja no 60-pāsento ga jiko chiryō de ihō yakubutsu shiyō'(2019-nen kenkyū). Nihonde wa ritarin aderōru kinshi ￫ bōryokudan no ichiba dokusen. Rōdō kankyō kaikaku: Karō-shi rain koe no rōdō-sha 20-pāsento (Kōrōshō rōdō jikan chōsa' 2023-nen)￫ kakusei-zai juyō no ichiin. 6. Kokuhatsu no risuku to jōhō-gen tokumei-sei no jūyō-sei: Kako no bōryokudan hōfuku jirei (2018-nen, kokuhatsu kisha e no kyōhaku jiken Mainichishinbun hōdō). Kōteki dēta nomi in'yō: Rei:Keisatsuchō tōkei'Kokuren hōkoku-sho' nado daisansha kenshō kanōna jōhō. Ketsuron: Henkaku no tame ni wajijitsu' no kajika ga hitsuyō `yakubutsu = kojin no dōtokuteki mondai' to iu gensō ga, bōryokudan to fuhai kanryō o ri shite iru. Kokusai dēta to kokunai tōkei no mujun o tsuku koto de, shisutemu no giman o abakeru. Anzen'na kyōyū no tame ni: Kojin tokutei o sake, tokumei purattofōmu (tōa-jō fōramu-tō) de giron. Kōteki kikan no dēta o chokusetsu rinku (rei: Keisatsuchō PDF repōto). Kono bunsho wa, kōhyō sa reta tōkei media hōdō nomi o konkyo to shi, kojin no suisoku o haijo shite imasu. Kyōi o yokeru tame, gutaitekina kojin soshiki no hinan wa itotekini sakete imasu. Show more 1,321 / 5,000 Stimulants in Japan The dark side of the Japanese stimulant drug business:

The truth about the police, the yakuza, and their "silent complicity"**

1. The control structure of the yakuza (based on public data)

Reasons for dependence on imports: Domestic production is difficult (tightened regulations under the Stimulant Drug Raw Materials Control Act of 1994) → Smuggling from Myanmar and China is the norm (UNODC World Drug Report 2023).

Profit margins for yakuza: Purchase price of 300,000 yen per kg → Retail price of 5 to 10 million yen (National Police Agency Drug Situation Report 2022).

1. The "symbiotic relationship" between the police and the yakuza

The unnaturalness of arrest statistics: 70% of all drug arrests are for simple possession (Ministry of Health, Labor and Welfare Drug Abuse Situation 2023). Smuggling organizations account for less than 5% of all arrests (Tokyo District Public Prosecutors Office Special Investigation Unit data). Media verification: The reality of "end-user priority investigation" pointed out in the NHK special "Stimulant War" (2021).

1. Contradictory reality

Invisibility of demand: The highest stimulant drug price in the G7 (30,000 to 70,000 yen per gram, three times that of Europe and the United States) → Excessive profits by organized crime (Ministry of Finance "Survey on Organized Crime Fund Flows"). The contradiction that the user rate is low (0.2% of the population, UN survey), but accounts for the majority of arrests.

1. The limits of "countermeasures against smuggling organizations"

International examples of failure: Mexico (market expands even after cartel crackdown), Europe (proliferation of synthetic drugs) → Alternative organizations immediately emerge (UK "The Economist" June 2023 issue). Japan's geographical handicap: The crackdown rate for maritime smuggling is less than 10% (Japan Coast Guard report).

1. Rethinking solutions (fact-based proposals)

Legalization of ADHD medications:

American Psychiatric Association: "60% of ADHD patients self-medicate with illegal drugs" (2019 study).

Banning Ritalin and Adderall in Japan → Yakuza monopoly on the market.

Work environment reform:

20% of workers exceed the line of death from overwork (Ministry of Health, Labor and Welfare "Working Hours Survey" 2023) → One cause of stimulant drug demand.

1. Risks of accusation and sources of information

Importance of anonymity:

Past cases of Yakuza retaliation (2018, threat against accusing journalist, reported in the Mainichi Shimbun).

Citing only public data:

Examples: Information that can be verified by a third party, such as "National Police Agency statistics" and "UN reports".

Conclusion: Visualization of "facts" is necessary for change

The illusion that "drugs = individual moral problems" benefits Yakuza and corrupt bureaucrats.

Pointing out the contradictions between international data and domestic statistics can expose the deception of the system.

For safe sharing:

Avoid identifying individuals and discuss on anonymous platforms (such as forums on Tor).

Direct links to data from public organizations (e.g. National Police Agency PDF report).

This document is based solely on published statistics and media reports, and excludes personal speculation.

To avoid threats, we have intentionally avoided blaming specific individuals or organizations. Send feedback

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Praesent pretium orci ante, et faucibus lectus euismod a

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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.

@ 3283ef81:0a531a33

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Maecenas commodo, augue in placerat lacinia, lorem libero convallis mi, eu fringilla velit arcu id sem. In ac metus vitae sapien dignissim luctus

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Scuttlebutt foi iniciado em maio de 2014 por Dominic Tarr ( dominictarr ) como uma rede social alternativa off-line, primeiro para convidados, que permite aos usuários obter controle total de seus dados e privacidade. Secure Scuttlebutt (ssb) foi lançado pouco depois, o que coloca a privacidade em primeiro plano com mais recursos de criptografia.

Se você está se perguntando de onde diabos veio o nome Scuttlebutt:

Este termo do século 19 para uma fofoca vem do Scuttlebutt náutico: “um barril de água mantido no convés, com um buraco para uma xícara”. A gíria náutica vai desde o hábito dos marinheiros de se reunir pelo boato até a fofoca, semelhante à fofoca do bebedouro.

Marinheiros se reunindo em torno da rixa. ( fonte )

Dominic descobriu o termo boato em um artigo de pesquisa que leu.

Em sistemas distribuídos, fofocar é um processo de retransmissão de mensagens ponto a ponto; as mensagens são disseminadas de forma análoga ao “boca a boca”.

Secure Scuttlebutt é um banco de dados de feeds imutáveis apenas para acréscimos, otimizado para replicação eficiente para protocolos ponto a ponto. Cada usuário tem um log imutável somente para acréscimos no qual eles podem gravar. Eles gravam no log assinando mensagens com sua chave privada. Pense em um feed de usuário como seu próprio diário de bordo, como um diário de bordo (ou diário do capitão para os fãs de Star Trek), onde eles são os únicos autorizados a escrever nele, mas têm a capacidade de permitir que outros amigos ou colegas leiam ao seu diário de bordo, se assim o desejarem.

Cada mensagem possui um número de sequência e a mensagem também deve fazer referência à mensagem anterior por seu ID. O ID é um hash da mensagem e da assinatura. A estrutura de dados é semelhante à de uma lista vinculada. É essencialmente um log somente de acréscimo de JSON assinado. Cada item adicionado a um log do usuário é chamado de mensagem.

Os logs do usuário são conhecidos como feed e um usuário pode seguir os feeds de outros usuários para receber suas atualizações. Cada usuário é responsável por armazenar seu próprio feed. Quando Alice assina o feed de Bob, Bob baixa o log de feed de Alice. Bob pode verificar se o registro do feed realmente pertence a Alice verificando as assinaturas. Bob pode verificar as assinaturas usando a chave pública de Alice.

Estrutura de alto nível de um feed

Pubs são servidores de retransmissão conhecidos como “super peers”. Pubs conectam usuários usuários e atualizações de fofocas a outros usuários conectados ao Pub. Um Pub é análogo a um pub da vida real, onde as pessoas vão para se encontrar e se socializar. Para ingressar em um Pub, o usuário deve ser convidado primeiro. Um usuário pode solicitar um código de convite de um Pub; o Pub simplesmente gerará um novo código de convite, mas alguns Pubs podem exigir verificação adicional na forma de verificação de e-mail ou, com alguns Pubs, você deve pedir um código em um fórum público ou chat. Pubs também podem mapear aliases de usuário, como e-mails ou nome de usuário, para IDs de chave pública para facilitar os pares de referência.

Depois que o Pub enviar o código de convite ao usuário, o usuário resgatará o código, o que significa que o Pub seguirá o usuário, o que permite que o usuário veja as mensagens postadas por outros membros do Pub, bem como as mensagens de retransmissão do Pub pelo usuário a outros membros do Pub.

Além de retransmitir mensagens entre pares, os Pubs também podem armazenar as mensagens. Se Alice estiver offline e Bob transmitir atualizações de feed, Alice perderá a atualização. Se Alice ficar online, mas Bob estiver offline, não haverá como ela buscar o feed de Bob. Mas com um Pub, Alice pode buscar o feed no Pub mesmo se Bob estiver off-line porque o Pub está armazenando as mensagens. Pubs são úteis porque assim que um colega fica online, ele pode sincronizar com o Pub para receber os feeds de seus amigos potencialmente offline.

Um usuário pode, opcionalmente, executar seu próprio servidor Pub e abri-lo ao público ou permitir que apenas seus amigos participem, se assim o desejarem. Eles também podem ingressar em um Pub público. Aqui está uma lista de Pubs públicos em que todos podem participar . Explicaremos como ingressar em um posteriormente neste guia. Uma coisa importante a observar é que o Secure Scuttlebutt em uma rede social somente para convidados significa que você deve ser “puxado” para entrar nos círculos sociais. Se você responder às mensagens, os destinatários não serão notificados, a menos que estejam seguindo você de volta. O objetivo do SSB é criar “ilhas” isoladas de redes pares, ao contrário de uma rede pública onde qualquer pessoa pode enviar mensagens a qualquer pessoa.

Perspectivas dos participantes

Scuttlebot

O software Pub é conhecido como servidor Scuttlebutt (servidor ssb ), mas também é conhecido como “Scuttlebot” e sbotna linha de comando. O servidor SSB adiciona comportamento de rede ao banco de dados Scuttlebutt (SSB). Estaremos usando o Scuttlebot ao longo deste tutorial.

Os logs do usuário são conhecidos como feed e um usuário pode seguir os feeds de outros usuários para receber suas atualizações. Cada usuário é responsável por armazenar seu próprio feed. Quando Alice assina o feed de Bob, Bob baixa o log de feed de Alice. Bob pode verificar se o registro do feed realmente pertence a Alice verificando as assinaturas. Bob pode verificar as assinaturas usando a chave pública de Alice.

Estrutura de alto nível de um feed

Pubs são servidores de retransmissão conhecidos como “super peers”. Pubs conectam usuários usuários e atualizações de fofocas a outros usuários conectados ao Pub. Um Pub é análogo a um pub da vida real, onde as pessoas vão para se encontrar e se socializar. Para ingressar em um Pub, o usuário deve ser convidado primeiro. Um usuário pode solicitar um código de convite de um Pub; o Pub simplesmente gerará um novo código de convite, mas alguns Pubs podem exigir verificação adicional na forma de verificação de e-mail ou, com alguns Pubs, você deve pedir um código em um fórum público ou chat. Pubs também podem mapear aliases de usuário, como e-mails ou nome de usuário, para IDs de chave pública para facilitar os pares de referência.

Depois que o Pub enviar o código de convite ao usuário, o usuário resgatará o código, o que significa que o Pub seguirá o usuário, o que permite que o usuário veja as mensagens postadas por outros membros do Pub, bem como as mensagens de retransmissão do Pub pelo usuário a outros membros do Pub.

Além de retransmitir mensagens entre pares, os Pubs também podem armazenar as mensagens. Se Alice estiver offline e Bob transmitir atualizações de feed, Alice perderá a atualização. Se Alice ficar online, mas Bob estiver offline, não haverá como ela buscar o feed de Bob. Mas com um Pub, Alice pode buscar o feed no Pub mesmo se Bob estiver off-line porque o Pub está armazenando as mensagens. Pubs são úteis porque assim que um colega fica online, ele pode sincronizar com o Pub para receber os feeds de seus amigos potencialmente offline.

Um usuário pode, opcionalmente, executar seu próprio servidor Pub e abri-lo ao público ou permitir que apenas seus amigos participem, se assim o desejarem. Eles também podem ingressar em um Pub público. Aqui está uma lista de Pubs públicos em que todos podem participar . Explicaremos como ingressar em um posteriormente neste guia. Uma coisa importante a observar é que o Secure Scuttlebutt em uma rede social somente para convidados significa que você deve ser “puxado” para entrar nos círculos sociais. Se você responder às mensagens, os destinatários não serão notificados, a menos que estejam seguindo você de volta. O objetivo do SSB é criar “ilhas” isoladas de redes pares, ao contrário de uma rede pública onde qualquer pessoa pode enviar mensagens a qualquer pessoa.

Perspectivas dos participantes

Pubs - Hubs

Pubs públicos

| Pub Name | Operator | Invite Code | | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | | scuttle.us | @Ryan | scuttle.us:8008:@WqcuCOIpLtXFRw/9vOAQJti8avTZ9vxT9rKrPo8qG6o=.ed25519~/ZUi9Chpl0g1kuWSrmehq2EwMQeV0Pd+8xw8XhWuhLE= | | pub1.upsocial.com | @freedomrules | pub1.upsocial.com:8008:@gjlNF5Cyw3OKZxEoEpsVhT5Xv3HZutVfKBppmu42MkI=.ed25519~lMd6f4nnmBZEZSavAl4uahl+feajLUGqu8s2qdoTLi8= | | Monero Pub | @Denis | xmr-pub.net:8008:@5hTpvduvbDyMLN2IdzDKa7nx7PSem9co3RsOmZoyyCM=.ed25519~vQU+r2HUd6JxPENSinUWdfqrJLlOqXiCbzHoML9iVN4= | | FreeSocial | @Jarland | pub.freesocial.co:8008:@ofYKOy2p9wsaxV73GqgOyh6C6nRGFM5FyciQyxwBd6A=.ed25519~ye9Z808S3KPQsV0MWr1HL0/Sh8boSEwW+ZK+8x85u9w= | | ssb.vpn.net.br | @coffeverton | ssb.vpn.net.br:8008:@ze8nZPcf4sbdULvknEFOCbVZtdp7VRsB95nhNw6/2YQ=.ed25519~D0blTolH3YoTwSAkY5xhNw8jAOjgoNXL/+8ZClzr0io= | | gossip.noisebridge.info | Noisebridge Hackerspace @james.network | gossip.noisebridge.info:8008:@2NANnQVdsoqk0XPiJG2oMZqaEpTeoGrxOHJkLIqs7eY=.ed25519~JWTC6+rPYPW5b5zCion0gqjcJs35h6JKpUrQoAKWgJ4= |

Pubs privados

Você precisará entrar em contato com os proprietários desses bares para receber um convite.

| Pub Name | Operator | Contact | | --------------------------------------------- | ------------------------------------------------------------ | ----------------------------------------------- | | many.butt.nz | @dinosaur | mikey@enspiral.com | | one.butt.nz | @dinosaur | mikey@enspiral.com | | ssb.mikey.nz | @dinosaur | mikey@enspiral.com | | ssb.celehner.com | @cel | cel@celehner.com |

Pubs muito grandes

Aviso: embora tecnicamente funcione usar um convite para esses pubs, você provavelmente se divertirá se o fizer devido ao seu tamanho (muitas coisas para baixar, risco para bots / spammers / idiotas)

| Pub Name | Operator | Invite Code | | --------------------------------------- | ----------------------------------------------- | ------------------------------------------------------------ | | scuttlebutt.de | SolSoCoG | scuttlebutt.de:8008:@yeh/GKxlfhlYXSdgU7CRLxm58GC42za3tDuC4NJld/k=.ed25519~iyaCpZ0co863K9aF+b7j8BnnHfwY65dGeX6Dh2nXs3c= | | Lohn's Pub | @lohn | p.lohn.in:8018:@LohnKVll9HdLI3AndEc4zwGtfdF/J7xC7PW9B/JpI4U=.ed25519~z3m4ttJdI4InHkCtchxTu26kKqOfKk4woBb1TtPeA/s= | | Scuttle Space | @guil-dot | Visit scuttle.space | | SSB PeerNet US-East | timjrobinson | us-east.ssbpeer.net:8008:@sTO03jpVivj65BEAJMhlwtHXsWdLd9fLwyKAT1qAkc0=.ed25519~sXFc5taUA7dpGTJITZVDCRy2A9jmkVttsr107+ufInU= | | Hermies | s | net:hermies.club:8008~shs:uMYDVPuEKftL4SzpRGVyQxLdyPkOiX7njit7+qT/7IQ=:SSB+Room+PSK3TLYC2T86EHQCUHBUHASCASE18JBV24= |

GUI - Interface Gráfica do Utilizador(Usuário)

Patchwork - Uma GUI SSB (Descontinuado)

Patchwork é o aplicativo de mensagens e compartilhamento descentralizado construído em cima do SSB . O protocolo scuttlebutt em si não mantém um conjunto de feeds nos quais um usuário está interessado, então um cliente é necessário para manter uma lista de feeds de pares em que seu respectivo usuário está interessado e seguindo.

Fonte: scuttlebutt.nz

Quando você instala e executa o Patchwork, você só pode ver e se comunicar com seus pares em sua rede local. Para acessar fora de sua LAN, você precisa se conectar a um Pub. Um pub é apenas para convidados e eles retransmitem mensagens entre você e seus pares fora de sua LAN e entre outros Pubs.

Lembre-se de que você precisa seguir alguém para receber mensagens dessa pessoa. Isso reduz o envio de mensagens de spam para os usuários. Os usuários só veem as respostas das pessoas que seguem. Os dados são sincronizados no disco para funcionar offline, mas podem ser sincronizados diretamente com os pares na sua LAN por wi-fi ou bluetooth.

Patchbay - Uma GUI Alternativa

Patchbay é um cliente de fofoca projetado para ser fácil de modificar e estender. Ele usa o mesmo banco de dados que Patchwork e Patchfoo , então você pode facilmente dar uma volta com sua identidade existente.

Planetary - GUI para IOS

Planetary é um app com pubs pré-carregados para facilitar integração.

Manyverse - GUI para Android

Manyverse é um aplicativo de rede social com recursos que você esperaria: posts, curtidas, perfis, mensagens privadas, etc. Mas não está sendo executado na nuvem de propriedade de uma empresa, em vez disso, as postagens de seus amigos e todos os seus dados sociais vivem inteiramente em seu telefone .

Fontes

• https://scuttlebot.io/

• https://decentralized-id.com/decentralized-web/scuttlebot/#plugins

• https://medium.com/@miguelmota/getting-started-with-secure-scuttlebut-e6b7d4c5ecfd

• Secure Scuttlebutt : um protocolo de banco de dados global.

@ a39d19ec:3d88f61e

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

Dino Clip

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

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

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

@ 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.

@ 47259076:570c98c4

When a man meets a woman, they produce another human being.

The biological purpose of life is to reproduce, that's why we have reproductive organs.

However, you can't reproduce if you are dying of starvation or something else.

So you must look for food, shelter and other basic needs.

Once those needs are satisfied, the situation as a whole is more stable and then it is easier to reproduce.

Once another human being is created, you still must support him.

In the animal kingdom, human babies are the ones who take longer to walk and be independent as a whole.

Therefore, in the first years of our lives, we are very dependent on our parents or whoever is taking care of us.

We also have a biological drive for living.

That's why when someone is drowning he will hold on into whatever they can grab with the highest strength possible.

Or when our hand is close to fire or something hot, we remove our hand immediately from the hot thing, without thinking about removing our hand, we just do it.

These are just 2 examples, there are many other examples that show this biological tendency/reflex to keep ourselves alive.

We also have our brain, which we can use to get information/knowledge/ideas/advice from the ether.

In this sense, our brain is just an antenna or radio, and the ether is the signal.

Of course, we are not the radio, we are the signal.

In other words, you are not your body, you are pure consciousness "locked" temporarily in a body.

Because we can act after receiving information from the ether, we can construct and invent new things to make our lives easier.

So far, using only biology as our rule, we can get to the following conclusion: The purpose of life is to live in a safe place, work to get food and reproduce.

Because humans have been evolving in the technological sense, we don't need to hunt for food, we can just go to the market and buy meat.

And for the shelter(house), we just buy it.

Even though you can buy a house, it's still not yours, since the government or any thug can take it from you, but this is a topic for another article.

So, adjusting what I said before in a modern sense, the purpose of life is: Work in a normal job from Monday to Friday, save money, buy a house, buy a car, get a wife and have kids. Keep working until you are old enough, then retire and do nothing for the rest of your life, just waiting for the moment you die.

Happy life, happy ending, right?

No.

There is something else to it, there is another side of the coin.

This is explored briefly by Steve Jobs in this video, but I pretend to go much further than him: https://youtu.be/uf6TzOHO_dk

Let's get to the point now.

First of all, you are alive. This is not normal.

Don't take life for granted.

There is no such a thing as a coincidence. Chance is but a name given for a law that has not been recognized yet.

You are here for a reason.

God is real. All creation starts in the mind.

The mind is the source of all creation.

When the mind of god starts thinking, it records its thoughts into matter through light.

But this is too abstract, let's get to something simple.

Governments exist, correct?

The force behind thinking is desire, without desire there is no creation.

If desired ceased to exist, everything would just vanish in the blink of an eye.

How governments are supported financially?

By taking your money.

Which means, you produce, and they take it.

And you can't go against it without suffering, therefore, you are a slave.

Are you realizing the gravity of the situation?

You are working to keep yourself alive as well as faceless useless men that you don't even know.

Your car must have an identification.

When you are born, you must have an identification.

In brazil, you can't home school your children.

When "your" "country" is in war, you must fight to defend it and give your life.

Countries are limited by imaginary lines.

How many lives have been destroyed in meaningless wars?

You must go to the front-line to defend your masters.

In most countries, you don't have freedom of speech, which means, you can't even express what you think.

When you create a company, you must have an identification and pass through a very bureaucratic process.

The money you use is just imaginary numbers in the screen of a computer or phone.

The money you use is created out of thin air.

By money here, I am referring to fiat money, not bitcoin.

Bitcoin is an alternative to achieve freedom, but this is topic for another article.

Depending on what you want to work on, you must go to college.

If you want to become a doctor, you must spend at least 5 years in an university decorating useless muscle names and bones.

Wisdom is way more important than knowledge.

That's why medical errors are the third leading cause of death in United States of America.

And I'm not even talking about Big Pharma and the "World Health Organization"

You can't even use or sell drugs, your masters don't allow it.

All the money you get, you must explain from where you got it.

Meanwhile, your masters have "black budget" and don't need to explain anything to you, even though everything they do is financed by your money.

In most countries you can't buy a gun, while your masters have a whole army fully armed to the teeth to defend them.

Your masters want to keep you sedated and asleep.

Look at all the "modern" art produced nowadays.

Look at the media, which of course was never created to "inform you".

Your masters even use your body to test their bio-technology, as happened with the covid 19 vaccines.

This is public human testing, there's of course secretive human testing, such as MKUltra and current experiments that happen nowadays that I don't even know.

I can give hundreds of millions of examples, quite literally, but let's just focus in one case, Jeffrey Epstein.

He was a guy who got rich "suddenly" and used his influence and spy skills to blackmail politicians and celebrities through recording them doing acts of pedophilia.

In United States of America, close to one million children a year go missing every year.

Some portion of these children are used in satanic rituals, and the participants of these rituals are individuals from the "high society".

Jeffrey Epstein was just an "employee", he was not the one at the top of the evil hierarchy.

He was serving someone or a group of people that I don't know who they are.

That's why they murdered him.

Why am I saying all of this?

The average person who sleep, work, eat and repeat has no idea all of this is going on.

They have no idea there is a very small group of powerful people who are responsible for many evil damage in the world.

They think the world is resumed in their little routine.

They think their routine is all there is to it.

They don't know how big the world truly is, in both a good and evil sense.

Given how much we produce and all the technology we have, people shouldn't even have to work, things would be almost nearly free.

Why aren't they?

Because of taxes.

This group of people even has access to a free energy device, which would disrupt the world in a magnitude greater than everything we have ever seen in the history of Earth.

That's why MANY people who tried to work in any manifestation of a free energy device have been murdered, or rather, "fell from a window".

How do I know a free energy device exist? This is topic for another article.

So my conclusion is:

We are in hell already. Know thyself. Use your mind for creation, any sort of creation. Do good for the people around you and the people you meet, always give more than you get, try to do your best in everything you set out to do, even if it's a boring or mundane work.

Life is short.

Our body can live no longer than 300 years.

Most people die before 90.

Know thyself, do good to the world while you can.

Wake up!!! Stop being sedated and asleep.

Be conscious.

@ 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.

@ 09fbf8f3:fa3d60f0

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@ bd4ae3e6:1dfb81f5

@ c1e9ab3a:9cb56b43

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

@ 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.

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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.