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 Left comes up with sounds most convincing.
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.
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.
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.
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.
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)
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 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.
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.
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.
I wouldn't be surprised if Sacks just prompted an LLM to just come up with whatever rebuttal to whatever the Left comes up with sounds most convincing.
Anyone with a Pangram account who can check?
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?
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..
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)
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.
> "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...
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.
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.