The question
Would slowing U.S. AI surrender the lead?
Unilateral restraints would cede ground
David Sacks
U.S. rules bind domestic labs but not Chinese competitors. On this view, release delays or broad compute controls would surrender time without reducing the underlying risk. Faster deployment would instead let American cybersecurity teams find vulnerabilities and distribute patches before comparable Chinese capabilities arrive.
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This assumes Chinese progress continues largely unaffected and rapid U.S. deployment improves defensive capacity.
We do not have months to give away in this race. And let me just say one other thing, which again is something I've been saying for months, which is with respect to risks like cyber, it is undoubtedly a risk. But what is the response to that? The only thing you can do is go out and find all the vulnerabilities first yourself, the white hats. Have the white hats find all the vulnerabilities and do a big upgrade cycle, roll out the patches before they can be exploited. The reality is that if you just clamp down in a way that doesn't even allow these models to be used, the Chinese are going to have these capabilities imminently anyway. You know, they're already at Opus 4.8 level. And the founder of z.ai, he said that before Q1, they'll have Fable level capability. I believe them.Socialists Sweep NYC, China Catches Up in Coding, AI Memory Crunch, Micron's Blowout Quarter ↗
Seek to 55:40
However, the United States does not have jurisdiction over what happens in China, and China was not going to slow down. That was always, I think, a huge flaw in this whole conception. These EA types thought they're going to institute global compute governance. Somehow, they're going to get some global agreement with China. Total pipe dream, never going to happen. If we slow down, China is just going to race ahead. It was, I think, always a naïve vision.Anthropic's $2T IPO, Zuck's AI Manifesto, Nvidia's $500B AI Bet, Grok's Comeback ↗
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The race may have no outright winner
Jason Calacanis
A winner-take-all contest is the wrong model. Jason Calacanis expects incremental, distributed progress rather than an outright Chinese victory. That framing reduces the case for panic-driven restrictions and allows different countries or companies to lead in particular models and applications without capturing the entire field.
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He supplied no deadline or measurable definition of outright leadership.
I don't think China is going to win. I think it will be, you know, there's not going to be one person who takes the whole prize. I think it's going to be incremental improvement. So I don't think that that matters.Dario Defends Himself, Datacenter Panic, AI Doomer Trap, Senate Toss-Up ↗
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Whether Chinese systems sustain parity across major tasks and whether U.S. controls materially delay domestic releases.