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First Fibonacci target reached perfectly at 106k. Could it obliterate it and chase 125k (second target) without a correction? #Bitcoin
MatCo retweeted
🇧🇷 PETIÇÃO: RENATO AMOEDO PARA O SUPREMO TRIBUNAL FEDERAL
O Brasil precisa discutir, com seriedade, quais características devem ser consideradas na escolha de um ministro do Supremo Tribunal Federal.
Por isso, propomos que Renato Amoedo Nadier Rodrigues, conhecido como Renato 38tão, seja considerado para uma eventual indicação ao STF.
A Constituição estabelece que os ministros do STF devem ter entre 35 e 70 anos, notável saber jurídico e reputação ilibada, sendo nomeados pelo Presidente da República após aprovação da maioria absoluta do Senado Federal.
Eis alguns elementos de sua trajetória acadêmica e profissional que merecem ser conhecidos:
🎓 FORMAÇÃO ACADÊMICA
• Engenharia de Produção Civil pela UNEB (2000–2006), com registro de 1ª posição no ENADE 2006.
• Direito pela Universidade Federal da Bahia – UFBA (2000–2004), por aproveitamento extraordinário.
• Especialização em Direito Empresarial pela UFBA, com nota máxima.
• Mestrado em Direito Privado e Econômico pela UFBA, com nota 10 e distinção.
• Formação em Direito e Economia pelo European Master in Law and Economics (EMLE), realizada com bolsa Erasmus Mundus da Comissão Europeia, com registro de 1º lugar mundial na seleção da categoria A.
• Doutorado em Administração, na área de Finanças Estratégicas, pela Universidade Presbiteriana Mackenzie/UPM, com pesquisa relacionada à governança corporativa.
📚 EXPERIÊNCIA ACADÊMICA
Sua trajetória inclui atuação como professor universitário em diferentes instituições.
Também lecionou Direito Comercial na UFBA, onde foi aprovado em primeiro lugar em seleção pública, e Direito Mercantil, Financeiro e Econômico na Universidade Federal do Tocantins, após aprovação em primeiro lugar em concurso público.
Foi ainda Coordenador Adjunto do Curso de Direito da Faculdade Batista Brasileira.
⚖️ EXPERIÊNCIA PROFISSIONAL
• Perito Criminal desde 2007, com atuação no Departamento de Polícia Técnica da Bahia.
• Experiência interdisciplinar envolvendo Direito, Engenharia, criminalística, finanças, governança corporativa e análise econômica do Direito.
• Atuação acadêmica e produção relacionada a Direito Empresarial, Mercado de Capitais, Finanças Estratégicas e Governança Corporativa. (Assembleia Legislativa do Espírito Santo)
📖 AUTOR E DIVULGADOR
É coautor, do livro “Bitcoin Red Pill: O Renascimento Moral, Material e Tecnológico”, obra dedicada à discussão de Bitcoin, dinheiro, tecnologia, economia e instituições.
₿ Sua atuação pública também o tornou uma figura conhecida no debate brasileiro sobre Bitcoin e soberania financeira.
A escolha de um ministro do STF é uma decisão institucional de enorme importância para o país.
Uma trajetória que reúne Direito, Engenharia, docência, pesquisa, criminalística, economia, finanças e governança oferece elementos que podem ser apresentados à sociedade para avaliação pública.
🇧🇷 Se você entende que nomes com formação acadêmica multidisciplinar e experiência profissional diversificada também devem ser debatidos para o STF, assine e compartilhe esta petição.
RENATO AMOEDO PARA O STF.
PETER THIEL CALLED IT.
The Antichrist wouldn’t build the doomsday machine.
This clip aged terrifyingly well.
Peter Thiel predicted in June, 26, 2025 exactly what is happening right now with Anthropic, Coxon and the AI-safety landscape.
“The way the Antichrist would take over the world is you talk about Armageddon non-stop, you talk about existential risk non-stop.”
The 'Antichrist' wouldn’t seize power by creating an AI apocalypse, but by CONVINCING everyone that the apocalypse was coming and then offering safety in exchange for CONTROL.
A must watch.
MatCo retweeted
People killed by AI: zero
People killed by governments: millions
Let's give control of AI to the governments and call it safety
This is the key to understand this sudden panic over “stopping the frontier”. This IPO is smelling very funky.
MatCo retweeted
Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead.
You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement.
I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible.
But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier.
Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want.
Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well.
So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it.
If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.
MatCo retweeted
Two Scenarios
1. AI is superintelligent & sociopathic billionaires are genuinely worried for us.
2. Capital is gone & AI advancements have slowed. Now, billionaires need to use government constraints as cover for shareholders, framing the slowing as a regulatory issue outside of their control.
MatCo retweeted
What OpenAI and Anthropic don't want you to know is that LLMs are well on their way to being commoditized, making their purveyors worth approximately zero.
Some feedback from a customer when we started accepting bitcoin payments. My lengthy and delicately worded response is below.
cc @BitcoinColl @JayW132 @Jcastweet @satsvsfiat @Musqet_Bitcoin @bitcoinpolicyuk
Replying to @mikemcglone11
What? 🤦♂️. Using YOUR CHART Bitcoin is up from an average of $8,000 in 2019 to $77,000 today. Same time frame SPY up 150%. Can you do math?
MatCo retweeted
Replying to @goldseek
Silver fell more than Bitcoin did off it's ATH during the recent correction/bear.
Measured from the end of the 2022 bear market (which affected all assets, a fair benchmark), Bitcoin destroyed metals, even with the last 10 months of correction.
Stop being a child.
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MatCo retweeted
Some thoughts on Dario’s post:
1. Dario does not actually address Gavin Baker’s account of what he said – something he could easily deny if it were inaccurate.
2. Dario claims his critics live in a “bubble” where all regulation equals regulatory capture. He calls this an overly simplified view and notes that “Many people outside this bubble think of regulation as something that constrains corporate power and benefits ordinary people.” This argument is a straw man. Of course treating all regulation as capture would be overly simplified – but almost no one holds that view. I have repeatedly argued for strong antitrust enforcement to keep industries competitive, especially Big Tech. If Anthropic continues toward monopoly or duopoly status, I would be among the first to demand those rules apply.
3. Regulatory capture is not vague or in the eye of the beholder. Nobel laureate George Stigler defined it as regulation acquired by an industry and designed and operated primarily for its benefit. Stigler challenged the traditional view that government regulation arises from a benevolent state protecting the public from market failures. Rather, industry groups have concentrated stakes and pour resources into influencing regulators, whereas the public’s stake is diffuse and unorganized. The revolving door between companies and the agencies that regulate them compounds the problem. Anthropic understands these dynamics: it has hired multiple senior Biden AI-policy officials and built a substantial government-affairs operation plus a network of aligned organizations to push its preferred frameworks at state and federal levels.
4. Dario has consistently pushed for a new federal agency to review and approve frontier models prior to release – a proposal framed variously as an “FDA for AI,” an “FAA for AI,” and most recently a “FINRA for AI.” I call it a “DMV for AI” because a review process modeled on the FAA or FDA (which takes years) or FINRA (which issues rules for a staid industry widely seen as protecting incumbents) will create long queues as AI models wait for testing and approval. This process will only become more labyrinthine as rules accumulate to prevent theoretical harms. This would handicap the U.S. relative to China, which will not adopt the same constraints. It would also undermine Anthropic’s own business model, whose pricing power depends on remaining ahead of open models. Whatever Dario states today, it is difficult to believe the company would simply accept outcomes that erase that advantage.
5. Anthropic is on track to become one of the most valuable companies in history, with the resources to navigate any approval process and shape the rules while competitors wait. Dario wants open models under heavier scrutiny – he has called them dangerous in Senate testimony, criticized them for not being centrally monitored or withdrawn, and linked them to IP theft. He says he has never sought a ban, but he could achieve a similar result by insisting that identical rules apply to both open and closed models. The U.S. risks becoming an island of costly closed models while the rest of the world races ahead with broader choice.
6. Dario acknowledges that AI is structurally centralizing but attributes this mainly to chips and scaling laws. Access to compute matters, but the deeper risk is who decides which capabilities are available to whom. His preferred pre-deployment testing and FAA/FINRA-style oversight would place that gatekeeping power in a federal bureaucracy working hand-in-glove with a small number of frontier labs – reinforcing centralization rather than countering it.
7. The second part of Dario’s post assumes we have amnesia about Anthropic’s well-orchestrated campaigns hyping AI fears. His May 2025 claim that AI would wipe out 50 percent of entry-level knowledge jobs within five years still lacks supporting evidence fifteen months later. Similarly Anthropic breathlessly promoted its heavily contrived “blackmail” study on 60 Minutes. Yet Dario blames public negativity on a long-standing loss of trust in institutions rather than his own messaging.
8. These narratives have done more than anything to shape public fear. People are left asking the same question Mark Zuckerberg posed: why race to build a future you describe in such negative terms? Thomas Sowell’s "The Vision of the Anointed" captures the mindset – elite intellectuals convinced that only they are enlightened enough to control the outcome. As Zuckerberg notes, concentrating power in the hands of an enlightened few has rarely produced the promised results; the practitioners turn out to be less enlightened in practice than in self-conception.
9. Gavin Baker summarized the disagreement cleanly on our pod: Dario believes frontier AI is too powerful to distribute; we believe it is too powerful to centralize. Dario appears to believe, sincerely, that safety and progress are best served by centralizing authority in a marriage of corporate and state power. The weight of human history gives us reason to fear that outcome.
1/2 Thanks Gavin for an especially thoughtful exchange. I don't usually spend much time on social media but I wanted to engage here because it really brings out the heart of an important conversation.
First, on regulation, I think that “either concentrate it in the hands of a chosen few companies and politicians via regulation or distribute it widely” is a false choice. I know that there’s a sort of Silicon Valley shorthand where regulation = regulatory capture = concentration of power, but I’ve always found this to be an overly simplified picture of the world. Many people outside this bubble think of regulation as something that constrains corporate power and benefits ordinary people. I don’t necessarily agree with that perspective either, rather I think it’s complicated and really depends on what the “regulation” consists of. But in particular I think that those in the “regulation = regulatory capture = concentration of power” frame often underrate the decentralizing power of objective and fair institutional processes. A crude analogy is that the formal court system can sometimes feel stuffy and elitist, but it does a much better job of defending the rights of vulnerable individuals than the alternative, mob justice. At their best, institutions can vest power in ideas rather than people, and thereby decentralize that power.
This is why Anthropic has always made its policy proposals very carefully. We try very hard to make proposals that disadvantage (slow down) frontier AI companies while *advantaging* smaller competitors. California’s SB53 (which we supported), and even the much-maligned SB 1047 (which we were ambivalent on), completely exempt any company below a certain amount of revenue or model training costs from being covered at all (it was $500M for SB 53, lower for 1047 but we objected to that). More recently the testing process we’ve advocated for at CAISI and the White House involves more rigorous tests for frontier models than off-frontier models — something that differentially advantages challengers. Similarly, the “Pacing the Frontier” letter envisions (or at least Anthropic’s preferred implementation of it envisions) modulating the pace of the very best models while not constraining those who are catching up. This hurts the business interests of the frontier labs and helps challengers, including open-weights!
Overall my view is that AI is *structurally* a technology that tends to concentrate power, for reasons that have nothing to do with regulation (more to do with the extreme implications of the scaling laws). Open-weights do help some with this but are nowhere near a sufficient solution because they simply shift the concentration somewhat to those with the most compute and chips (which are roughly the frontier labs plus maybe hardware providers). By contrast I think the right “rules of the road” can simultaneously (a) address AI’s cyber/bio/alignment risks, (b) institutionally constrain the power of the frontier AI companies, and (c) leave room for open-weights models while also addressing the specific risks that they bring.
BTW I do not think that the events of the last few months have “failed to result in [my] preferred regulatory path”. The approach that the Trump administration is reported to be taking — pre-deployment testing for frontier models, and also testing of open-weights models when they get closer to the frontier — is one that I am very supportive of, though of course I have to see the details to be sure. I am also supportive of Demis Hassabis’ ideas around a FINRA-like entity. This contrasts with six months ago when most of the industry was still pushing for preemption of all state regulation and no apparent federal approach either.



























