I guess what they really want is to limit sale of AI models to compliant vendors and then raise the bar to compliance just high enough so they can pass it but smaller labs can’t. There’s no moat, it’s an efficient market that drives margins to zero right now, of course they don’t want that, collusion of the big vendors is the next logical step.
Make it easy for these companies by passing a law that any AI model a company offers to the public (non-government) has to be released as open weights.
This is how we deflate the bubble safely and completely, without having to introduce a government regulator that is likely to go either too far or not far enough.
This completely resolves the coordination problem among these potentially good actors.
Like it! Yeah, they can just take action and pressing them on that is fine. It's not like they asked for policy before they started to mine all the data and sell the resulting product, while, surely, at some point, there must have been the thought that the entire enterprise could be considered vaguely problematic.
To be fair
1) I feel like Sacks is kind of misrepresenting what is going on – at least according to the stories that the two labs tell, they are already taking it upon themselves to act.
2) Understanding if they should do it is more complicated; I don't think anyone can satisfactorily answer that one, so, as a matter of judgement, it seems like a choice to make and they should just consider this option.
At the same time, I don't think that requires the labs to not press for policy changes. Again: Claiming there is an obvious way to do that, that is both realistic and correct seems a little far fetched, but arguably one of the more important and pressing questions of our times to get a hold of.
They might need regulations, if they are for-profit companies with a responsibility to shareholders to maximize profit while sacrificing all other values.
It is telling that most aggressive forms of “capitalism” plead for government involvement to permanently limit new competition. I own something and I don’t want anyone else to have a chance. The marginal cost of bribing a senator is tiny tiny tiny compared to the value.
No, that’s not accurate. An agreement among competitors to not engage in research that would let them outcompete each other is clearly an antitrust issue requiring a government waiver.
No, absolutely not "clearly". That word has no business being in any sentence about federal antitrust law in 2026. There is nothing clear or consistent about how is being applied and interpreted right now. If you're applying a coder's mindset to 'settled' law, you're in for a bad time.
If that’s true, doesn’t that make it even more clear that the frontier labs require government involvement and cannot rely on what David Sacks thinks the government would or would not allow?
Once they observe real safety risks, they're going to slow down on their own, because a major safety incident would destroy their valuations and businesses.
Right now the risks are hypothetical. That doesn't mean we shouldn't take them seriously, but crippling an industry through government intervention before we have any real understanding of it is clearly unnecessary. The fearmongering is clouding basic judgment and thinking. OpenAI and Anthropic are doing extraordinary amounts of alignment testing internally. There is no scenario where they release a dangerous model without realizing what they are doing.
The only thing the government needs to do is hold AI companies legally accountable if their products cause harm. That's it.
I think it’s more than money and slowing progress. Public perception on AI is in the gutter. That is a much bigger threat to these companies. They’re trying to turn it around.
Trying to turn it around by once again claiming that ai is an existential threat and will take everyone’s job right before brutally murdering every human.
These companies don’t appear to give a single fuck about public perception. Only their investors and the government (in anticipation of the biggest bailout in human history).
I don't think the technical aspect is true, performance has been growing fairly consistently, but the financial aspect, or more accurately the logistical aspect, is plausible; with competition as fierce as it currently is, for how long can they keep growing at the same pace? People can't afford RAM anymore and datacenter build outs aren't particularly popular, OAI has been doubling compute capacity every 7 months for the past 3 years, it's just physically impossible for this to go on for long, something has to give.
And this is not to say that the tech isn't revolutionary or the demand isn't there, it's simply just currently too competitive, and to avoid getting into anti trust trouble they need to involve the government.
Note this being a plausible doesn't necessarily make it true, for all I know they could have witnessed some safety incident and decided they need a pause, or maybe it's both reasons.
It’s much more likely that our current approach to large language models for general use will eventually show diminishing improvements (even if you think it hasn’t yet), than the opposite situation where valuable improvements can be made forever.
The threat of distillation and efficiency gains from competitors mean that providing value at the top end of the market is an existential necessity for these labs. I don’t think they can do that forever and, in my opinion, for the vast majority of use cases we’ve already reached very little improvement for new models when compared with available offerings.
Sorry, this is ridiculous. OpenAI said that they have a step change in model performance. They proved it by solving a Millenium problem. HF incidents are public and vetted.
If you still think there's a stall despite all evidence pointing to opposite, I don't know what to say..
What reason could OpenAI possibly have to lie about their own performance? The fact they were desperate enough for a PR win they stole the research leading to the Millenium problem further hurts their case imo.
Two things can be true. Open AI is a huge company.
1. It has people in it who are career obsessed and who are willing to ruthlessly go after any opportunity to improve their standing/stock valuation. Using a 2 week old model to snipe a millenium prize for PR is in line with that.
2. There are many researchers and even executives at the company who genuinely think we are speedrunning the end of the world. I don’t know anyone in this field who honestly argues that if we build ASI soon it doesn’t lead to extinction. This group of people can output warnings about the state of research and fears for the future while pushing for regulation out of genuine fear of what they’re building. I tend to agree with them.
You can’t view these companies as a monolith. They’re actions won’t be consistent because it’s built of many people with conflicting beliefs. Please look at arguments regarding AI risk and the current pace of progress and value them as it relates to the argument itself, not who said it. We are in a dangerous place and no one is sure how quickly we’ll get to a bad spot.
Basically, continuously building out compute is costing these labs enormous amounts of money, which VCs and other companies have been bankrolling in order for them to develop powerful models.
So if the new models they can develop right now are less frontier, it could be a net loss on their balance sheets.
huge problem in discourse is that there are real interesting wedges in debate like p(doom) and RSI. but zitronion thought is not the real interesting wedge and almost everyone is on this side.
- AI can't be profitable (lol)
- everything is hype
- HF incident was a conspiracy between HF, METR, OpenAI, Anthropic to drive up market share
- Navier Stokes was solved because they literally looked at one of the codex chats and presented as their own (lol)
- AI has yet to be profitable for these large labs (also zero moat etc.)
- There is considerable hype and people are tired of it.
- HF incident (and apparently many others that these labs are not reporting on or don’t even know about) proves they have terrible security practices and that’s about it.
- NS is incredibly suspicious timing wise.
You are sprinting around these threads to misrepresent the average persons issues with AI. I don’t know why people having those issues seems to be taken as a personal attack for you.
I wished OpenAI and Anthropic IPOd already. They just try to outcompete each other by finding the most splashy headlines undercutting prices in unhealthy and unsustainable means long-term.
He is neither right or wrong. The reality is that this is a lose-lose situation from the ordinary person's perspective. Regulation -> regulatory capture and things get worse faster, no regulation -> things simply get worse faster.
I mean I don't know what we do at this point. Ideally AI researchers need to be treated like nuclear scientists working for an adversary. But we all know that's not going to happen.
Huge amount of skepticism on HN right now, but the models are increasingly capable, and there are real, significant risks.
The approach proposed by Amodei looks sensible - voluntary checks at frontier labs, and appropriate regulation to follow. Yes, the devil's in the details, but it feels like the right approach overall.
> The approach proposed by Amodei looks sensible...
It's hard to imagine any government regulation that didn't look sensible on paper and at first. But we know that government regulation has an extremely mixed record, with lots of good and bad outcomes.
The largest risk is that Anthropic and OpenAI have a monopoly on the SOTA. This is why you see these companies trying so hard to get regulatory capture. For the rest of us, we want access as equitable as possible.
Turns out the EU was right all along with the AI act. They've been adopting a well-deserved "told you so" stance lately:
> "In my view, the EU has already legislated for exactly this scenario: it is called the AI Act," said Michael McNamara, an Irish European Parliament lawmaker, who's the co-lead of the Parliament's group monitoring AI.
Eh. This entire tweet smacks of being AI generated. It has a huge amount of LLM-isms.
I wouldn't be surprised if Sacks just prompted an LLM to just come up with whatever rebuttal to whatever the regulation side comes up (given the big set of regulation tweets) with sounds most convincing, given his usual anti-regulation stance.
You're being downvoted because you clearly have the wrong opinion. If you want upvotes here, please share a conspiracy theory about why the CEOs of AI companies might want to slow down.
It doesn't need to based in reality or even reasonable.
David Sacks is one of the most predictable VCs in Silicon Valley. He could have written "I still have the same thoughts; here's a link to my first and only opinion" and the post would have communicated the same amount of info.
Unsure about your reference, but is your argument: Someone else is doing it, so I should be allowed to as well.
That's basically the western companies complaining that they can't compete with China because Chinese companies are allowed to polute more, so they would be allowed to polute as well. I don't buy that. Once you realise that you're doing something wrong or dangerous, you stop, regardless of what everyone else is doing and what rules they have to follow.
My take is that there's a real impending doom with real reason to coordinate a slow down: I'd put this at 60%. Reasons? All smart people are on this position. Dario has been saying this since 2015 or so. Paul Christiano as well. Hell even Elon Musk. I think its highly unlikely that you would base your entire world-view on a certain thing and then actually act on it when the time comes for a totally different reason (like regulatory capture).
The other 15% is that P(doom) and "slow down" are nice shibboleths in the internal EA or AI safety community. You get to be in the community and show commitment to it by taking costly actions that signal that you actually do wanna slow down. For employees it is quitting. For CEO's it is writing these essays. I know this is ridiculous but sometimes things do just come down to this. In 20 years would you look at all of this and think it was not a moral panic and that the slow-down was necessary?
The rest 25% is regulatory capture of which people know exactly the reasons
This is how we deflate the bubble safely and completely, without having to introduce a government regulator that is likely to go either too far or not far enough.
This completely resolves the coordination problem among these potentially good actors.
To be fair
1) I feel like Sacks is kind of misrepresenting what is going on – at least according to the stories that the two labs tell, they are already taking it upon themselves to act.
2) Understanding if they should do it is more complicated; I don't think anyone can satisfactorily answer that one, so, as a matter of judgement, it seems like a choice to make and they should just consider this option.
At the same time, I don't think that requires the labs to not press for policy changes. Again: Claiming there is an obvious way to do that, that is both realistic and correct seems a little far fetched, but arguably one of the more important and pressing questions of our times to get a hold of.
It is also true that nothing in law is currently clear, or consistent.
Both are true. But you stated it's one or the other.
Right now the risks are hypothetical. That doesn't mean we shouldn't take them seriously, but crippling an industry through government intervention before we have any real understanding of it is clearly unnecessary. The fearmongering is clouding basic judgment and thinking. OpenAI and Anthropic are doing extraordinary amounts of alignment testing internally. There is no scenario where they release a dangerous model without realizing what they are doing.
The only thing the government needs to do is hold AI companies legally accountable if their products cause harm. That's it.
These companies don’t appear to give a single fuck about public perception. Only their investors and the government (in anticipation of the biggest bailout in human history).
I don't mean to be rude, but how is it even possible for someone to hold this opinion in mid-2026?
Can you explain why you believe this?
And this is not to say that the tech isn't revolutionary or the demand isn't there, it's simply just currently too competitive, and to avoid getting into anti trust trouble they need to involve the government.
Note this being a plausible doesn't necessarily make it true, for all I know they could have witnessed some safety incident and decided they need a pause, or maybe it's both reasons.
It’s much more likely that our current approach to large language models for general use will eventually show diminishing improvements (even if you think it hasn’t yet), than the opposite situation where valuable improvements can be made forever.
The threat of distillation and efficiency gains from competitors mean that providing value at the top end of the market is an existential necessity for these labs. I don’t think they can do that forever and, in my opinion, for the vast majority of use cases we’ve already reached very little improvement for new models when compared with available offerings.
If you still think there's a stall despite all evidence pointing to opposite, I don't know what to say..
1. It has people in it who are career obsessed and who are willing to ruthlessly go after any opportunity to improve their standing/stock valuation. Using a 2 week old model to snipe a millenium prize for PR is in line with that.
2. There are many researchers and even executives at the company who genuinely think we are speedrunning the end of the world. I don’t know anyone in this field who honestly argues that if we build ASI soon it doesn’t lead to extinction. This group of people can output warnings about the state of research and fears for the future while pushing for regulation out of genuine fear of what they’re building. I tend to agree with them.
You can’t view these companies as a monolith. They’re actions won’t be consistent because it’s built of many people with conflicting beliefs. Please look at arguments regarding AI risk and the current pace of progress and value them as it relates to the argument itself, not who said it. We are in a dangerous place and no one is sure how quickly we’ll get to a bad spot.
So if the new models they can develop right now are less frontier, it could be a net loss on their balance sheets.
This is a ploy for regulatory capture.
- AI can't be profitable (lol)
- everything is hype
- HF incident was a conspiracy between HF, METR, OpenAI, Anthropic to drive up market share
- Navier Stokes was solved because they literally looked at one of the codex chats and presented as their own (lol)
- AI has yet to be profitable for these large labs (also zero moat etc.)
- There is considerable hype and people are tired of it.
- HF incident (and apparently many others that these labs are not reporting on or don’t even know about) proves they have terrible security practices and that’s about it.
- NS is incredibly suspicious timing wise.
You are sprinting around these threads to misrepresent the average persons issues with AI. I don’t know why people having those issues seems to be taken as a personal attack for you.
I mean I don't know what we do at this point. Ideally AI researchers need to be treated like nuclear scientists working for an adversary. But we all know that's not going to happen.
The approach proposed by Amodei looks sensible - voluntary checks at frontier labs, and appropriate regulation to follow. Yes, the devil's in the details, but it feels like the right approach overall.
It's hard to imagine any government regulation that didn't look sensible on paper and at first. But we know that government regulation has an extremely mixed record, with lots of good and bad outcomes.
> "In my view, the EU has already legislated for exactly this scenario: it is called the AI Act," said Michael McNamara, an Irish European Parliament lawmaker, who's the co-lead of the Parliament's group monitoring AI.
https://www.politico.eu/article/eu-response-ai-extinction-wa...
I wouldn't be surprised if Sacks just prompted an LLM to just come up with whatever rebuttal to whatever the regulation side comes up (given the big set of regulation tweets) with sounds most convincing, given his usual anti-regulation stance.
Anyone with a Pangram account who can check?
He supported the Department of War's illegal actions against Anthropic.
He supported the Trump administration's temporary export controls against Anthropic, the first government-imposed pause.
He has said Anthropic has created a monopoly, implying that they should be broken up.
I don't take him seriously when he says he doesn't favor government action. He favors it when he doesn't like their speech.
It doesn't need to based in reality or even reasonable.
That's basically the western companies complaining that they can't compete with China because Chinese companies are allowed to polute more, so they would be allowed to polute as well. I don't buy that. Once you realise that you're doing something wrong or dangerous, you stop, regardless of what everyone else is doing and what rules they have to follow.
My take is that there's a real impending doom with real reason to coordinate a slow down: I'd put this at 60%. Reasons? All smart people are on this position. Dario has been saying this since 2015 or so. Paul Christiano as well. Hell even Elon Musk. I think its highly unlikely that you would base your entire world-view on a certain thing and then actually act on it when the time comes for a totally different reason (like regulatory capture).
The other 15% is that P(doom) and "slow down" are nice shibboleths in the internal EA or AI safety community. You get to be in the community and show commitment to it by taking costly actions that signal that you actually do wanna slow down. For employees it is quitting. For CEO's it is writing these essays. I know this is ridiculous but sometimes things do just come down to this. In 20 years would you look at all of this and think it was not a moral panic and that the slow-down was necessary?
The rest 25% is regulatory capture of which people know exactly the reasons