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While women get rich off OnlyFans, the next generation of men will build empires with Claude Code & Codex.
Lock tf in and start building boys...
Patrick retweeted
I call total bullshit on “AI slowdown.”
They are pissed scared about the open models which are 10% of the price of their frontier models.
This is a play to get government to ban them.
Patrick 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.
LLM users showed severe deficits in memory and essay ownership, with 83% being unable to quote from the essays they had just written.
The panic over Fable falling back to Opus for coding is telling. most teams never needed the biggest model. they needed the fast one that answers in 2 seconds not 20. speed beats size more often.
Grok @Bot has its own remote computer @spacexai, so keeps working even when you close your laptop or reboot your desktop.
Big difference.
OpenClaw vs. Hermes vs. Grok @bot, clearly explained:
All three let you set up an agent with a specific job, and it keeps its files and logins between sessions instead of starting fresh.
OpenClaw and Hermes are self-hosted, so the machine can be a laptop, a VPS, or a container that someone already pays for and can log into.
Grok Bot runs on a machine SpaceXAI provisions and operates. It gives one computer per account rather than one per agent.
Every Bot on that account reads the same files and carries the same browser logins, so handing work between two Bots does not require a re-login or file transfer.
Hermes and OpenClaw isolate agents instead, and their memory sits in plain files anyone can open and edit.
Hermes goes furthest since the agent writes its own skills and a background curator deletes the ones nobody uses.
Grok Bot has the lowest-friction path to a new skill in my opinion.
You can record up to ten minutes of one pass through a workflow, and it can then turn that into a reusable set of instructions and store it as a skill.
Moving on, OpenClaw and Hermes run on any model provider. Grok Bot runs on Grok.
I prepared the graphic below that has the full breakdown, from hosting and memory through to what each of them costs to run.
And if you want to dive deeper, I covered Grok Bot in full in a masterclass, including the shared computer, memory, skills, routines, and the macOS setup.
Read it below.
Patrick 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.
Patrick retweeted
LinkedIn: just got promoted
Instagram: just went to the gym
X: if you don’t make $20 million before you turn 25 then you’re gay and your entire family will die
$AAPL double beat and stock dumps
Patrick retweeted
The entire tech industry (save for Anthropic) has come out in favor of open source AI.
So what happens next? Will Anthropic change its lobbying efforts? Not likely. Now the gaslighting begins:
“Nobody is trying to ban open source.”
“We just want to limit who can use it.”
“We just want to limit who can contribute to it.”
“We just want to limit how powerful those models can be.”
“We just want to make sure the guardrails (we lobbied for) can’t be removed.”
The net effect will be the same. They won’t stop until they kneecap open source. The rest of the industry needs to watch these guys like a hawk.
Patrick retweeted
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…
New in Claude Cowork: teach Claude a skill.
Record your screen while you do a task, talk through it as you go, and Claude turns it into a skill it can run again. Find it under Record a skill in the + menu of the Claude desktop app.
Available on Pro, Max, and Team plans.
Patrick retweeted
5 questions @AnthropicAI needs to justify since Kimi k3.
1. Why is fable worth $50/1M tokens when Kimi is priced at the cost of compute?
2. Why should enterprises adopt Claude with 50x higher price & less enterprise-friendly data terms?
3. Why is @AnthropicAI worth 50x the valuation of Kimi when their models are on par?
4. What's the long-term moat for Anthropic, if their entire business model relies upon the fact that they have to be the no.1 frontier model at ALL times; if even 1 open weight competitor beat them, their entire pricing model broke.
5. Will model companies eventually ALL get commoditized and valued at the cost of compute?
To respond to the above ordeal, I am betting @AnthropicAI will do the following:
1. Double down on Claude app, claude tag, whatever. Give people Fable forever with no 5h limits. Just double down. Anthropic is not a model-only company; it's a harness/application powerhouse.
2. Double down on Claude drug/finance/legal and deliver outcomes directly and make $$ from outcomes.
3. "AI is unsafe" and therefore we must ban China's open weight motherfuckers. Lobby harder.
4. "Our model is safe" so no more Mythos-too-scary bullshit just launch the fucking new model now.
5. IPO. IPO. IPO.
Argentina - Cabo Verde
Minute scored: 29', 92', 111'
Argentina - Egypt
Minute scored: 79', 83', 90+2'
Argentina - Switzerland
Minute scored: 10', 112', 120+1'
Argentina - England
Minute scored: 85', 92'
People only found out now that Argentina always pressure at the end?
Patrick retweeted
This is a market where the major indexes are trending higher and remain comfortably above their major moving averages, but some leaders are still under pressure as money continues to rotate. Stocks such as $GEV, $MU, $SNDK, $LRCX, $MXL and $INTC are challenging their 50-day lines.
Distribution has not fully subsided. The Nasdaq carrying eight distribution days indicates institutional selling pressure is still present. A stealth or rotational correction seems to be in progress.
A close on the S&P 500 above 7,621 is a level some analysts are watching to determine the bulls have taken control and the market is officially out of pullback or correction mode.
This is still an environment that rewards disciplined stock selection rather than aggressive exposure across the board.
Ideally, we would like to see the major averages continue to digest recent gains above key support levels without adding further distribution, while participation broadens beyond the current leadership groups and names.
Tape action among our Focus List and Open Positions has been constructive on balance. Some of our best performers include: $KRYS, $PACS, $CRWD, $MNST, $MATX. Our worst: $GEV (as of today), $BUD and $CYRX.
minervini.com
chamath is right that a dollar past $200/week is probably waste. he also sells 8090, a control plane that meters exactly that. when the take and the product line up this well, you're reading an ad.




















