U.S. AI Execs Warn as China’s AI Push Grows, Substack Adds AI Detection Tool | Diet TBPN

**John Coogan** (0:02)
China, China, China, China is in the news. Top American execs are sounding alarms. The White House is divided on how to respond to recent advances in Chinese AI, has weighed crackdown measures.
We talked about how this was coming. It is interesting, there's a lot of like, hurry up and pedal to the metal, and then pull back, and then ban the American model, and then are we gonna ban the Chinese model in the similar way?
And lots of contradictions, lots of insider baseball, everyone's critiquing everyone else. Lots of interesting takes, also just some interesting data about what's actually going on with these models. How advanced are they? Where do they come from? How cheap are they to make? What are the economic impacts in America? But the Wall Street Journal has a nice little roundup here we can take you through. So Silicon Valley and Washington are debating a multi-billion dollar question. Should American companies be able to use Chinese artificial intelligence models? They certainly have been able to. It hasn't been a problem for years, but now they're getting stronger. Open AI and anthropic executives are sounding the alarm about the rise of cheap AI, particularly powerful new models produced in China, suggesting that they will lead to a dystopian AI future and present unacceptable security risks without regulation. That is the point of debate. Are you on the side of dystopian open source or liberating open source, the George Hawkes frame?
Some analysts who study the AI industry say the two companies, which are preparing for public listings in the next year, they just want to eliminate the competition. The emergence of highly capable, open, autonomous AI systems, including Moonshot AI's Kimi K3 model and Alibaba's Quen 3.8 Max. And Alibaba is actually a massive investor in Moonshot. They have their own anthropic Google over there going on. Alibaba is like very much the Google to, in the sense that they have a large position there. Which were released in recent days and viewed favorably by investors and users, has turned the AI race on its head once again. Kimi K3 was also competitive with US models on some benchmarks. The debate over the new models, which are, quote, open weight, but not yet.
They're about to open source them. We'll see what happens next week. Allowing users to download and customize them with company data for specific tasks. Very, very good, very useful. Coincides with division in the Trump administration about whether to take steps to limit the use of models in the United States. Quote, one probable outcome of an open weight model dominant world is full AI communism, which is precisely what China proposes rather than a market product. AI is a public good, which will ultimately be provided by the state as a kind of digital public infrastructure. Dean Ball, OpenAI's head of strategic futures, said in an ex-post Friday, Dean Ball made it to the pages of the Wall Street Journal. Now the AI communism is just at the model level. There would still be a bunch of...
A lot of people who are long compute, long neo-cloud, they say this is where the value should accrue. The data centers will accrue a reasonable margin, and they will still continue to make money. And so, it's not that this automatically leads to nationalization of compute in any way. People would still be paid, but the margin might be lower, is at least the formulation here. So Ball, a former Trump administration official, called such a scenario a dystopian hellscape. And he said he expected the Trump administration to make moves toward reducing the use of open source models. Ball later clarified that he wasn't advocating for the United States government to discourage Chinese AI. He also highlighted a central challenge with the AI race. Top tier AI companies raise billions of dollars to pay for the vast computing resources needed to continue improving AI systems. If everyone uses AI systems that people largely don't pay for, there would be no way to finance continued frontier AI development. Ball, who started at the company earlier this month and focuses on policy and strategy and OpenAI, have said his comments don't reflect the company's official positions. He's just posting, the company has developed its own models, own open models and Chief Executive Sam Altman had previously said that OpenAI's past approach of only developing closed tools was unwise. Other top AI executives have warned that open models present huge risk since developers and policymakers lack control over how they are used and modified. A lot of risk of cyber attacks, a lot of risk of annoying spam attacks. The cyber thing is very concerning and annoying if that really ramps up. But the good news is that the closed source models have been available to cybersecurity firms and a lot of big major companies, finance industry, for example, has had access to Mythos and GPT cyber for almost six months. Then just today, Google announced a specific model, Flashlight Cyber, I think. So they're trying to offer a similar capability, but really go down the cost curve because a lot of the cyber tools, there was incredible breakthroughs with Mythos, GPT Cyber, like great benchmarks on those, but could be very expensive. We heard, I think, wasn't it? Nikesh Arora said, I think he spent like a million dollars to find some zero-day bug, and it was like totally worth it, but that's expensive for smaller companies that might just need... It would be great to just be able to go to a cheap cyber-tuned model, get approved by Google, and say, hey, just go and read every line of code and just let me know if there's anything that's obvious, and that could be good.