Peter Harrell (46:07)
Yeah. Scott, I think you broadly, accurately characterized one of the kind of core strategic concepts of the Biden administration's approach to AI competition with China. I think the Biden administration for four years, and it really thought about AI going back to the beginning of the administration, and there was some work that was done in the late Trump term one on this too. But there was this very strongly held view that the us you know, has a qualitative lead in AI that is very much in America's interest to maintain that lead, given how important AI is going to be to a whole, whole bunch of applications, both economic and military applications over the coming years. And that what we need to do is A, invest here at home in order to maintain that edge and B, as you say, kind of pull up the ladder on the Chinese. And there was this view that the most effective way to pull up the ladder was to limit China's access to advanced compute. Because the theory was that China, these AI models need lots of advanced compute to really develop and to train, to train on your high end semiconductors, the kind of things Nvidia's worth $3 trillion or was worth $3 trillion for making. And that's something you can actually control. You know, American firms are designing the semiconductors. You can actually keep the Chinese from buying them. You know, in theory, maybe you can control algorithms or something like that. But the Biden administration view of it's actually like quite hard to prevent data from leaking over to China. So the thing you can control is compute. And so you saw this really aggressive effort first to restrict China's access to advanced computing chips and then at the very tail end of the administration to kind of globalize these rules to say really the most advanced chip should be most available in the US and in close access allies and then when they're going to be in countries like in the Middle east and whatnot, they should be built out by kind of trusted western firms because we're going to, you know, want our guys to really lead in the development of this AI. And that's kind of a core strategic concept here. Now I think, you know, what we saw with Deep Sea coming out of China represents an interesting challenge to that. Now the first thing I should say is I think there are some real questions about, you know, is deep seeks model really as efficiently trained as they say it was? This hedge fund that Kevin talked about, it acquired 10,000 Nvidia GPUs before, back in 2022, before the export controls came in. So there is actually a fair amount of advanced compute that these guys had access to. And I think that that raises some question. You know, we shouldn't just sort of assume this is something that, you know, was trained on my kids remainder iPad had from five years ago, right? That's not actually true. So, so I think we got it, we got a pressure test what actually happened here that said it, it, you know, does by all accounts seem to be really interesting algorithmic developments that I think should cause the US government to, you know, test Is this assumption that compute is the way to control China's AI development, is that really the most effective vector? Should we be thinking about other vectors? Should there be other things that we are, we are doing here? You know, final point I'll make on this and it's interesting because you know, the, this Chinese model is open source, right? They've put it, they've put it online and it's, you know, whether or not it was as cheap as they say it was to develop, it does seem to be quite cheap to use, you know, for people running queries on it. And I think that China posting this, you know, allowing this to be kind of open source. I think probably Chinese firms talking up this, I think it's an interesting play China's making for kind of what developers in the developing world are going to do. Right? If you're a developer in Indonesia or in India or in Brazil, this may be a very attractive model for you, right? It's almost as effective as the Latest out of OpenAI AI. It's open source and it's cheaper to use. So I think they should also be getting US government to think about how do we keep up play and make sure our guys are out there competing for developing world developers. Final point I'll make just because I signed up for it over the weekend when the news was really developing before they shut off new American enrollments and, and, you know, with Howard Lutnick's confirmation as Commerce Secretary coming up, I decided I'd ask Deepseek a question to ask Mr. Lutnick at his hearing about strengthening semiconductor export controls on China. You know, what does Deep Sea think about strengthening semiconductor export controls on China? And it actually gave me quite an interesting response. It proposed that the Chinese Communist Party's military civil fusion Strategy directly exploits U.S. and allied semiconductor technology to modernize its warfighting capabilities from AI enabled weapons to surveillance systems. If confirmed, would you commit to dramatically exploring expanding controls, not just on advanced AI, but also cutting edge tools, semiconductor materials, and emerging technologies? So it seems to have a hawkish view on this question.