Chinese company Moonshot AI this week launched a new version of its Kimi model, generating another wave of discourse about China and open source AI.

Moonshot said that although the Kimi K3 “still lags behind the most powerful proprietary models, the Claude Fable 5 and GPT 5.6 Sol,” the new open source model “demonstrated frontier-level performance across our entire set of evaluations, consistently outperforming other models tested.” Independent analyzes from Arena.ai and Vals AI also suggested that Kimi is competitive with flagship frontier models.

The announcement, which coincided with a speech by Chinese President Xi Jinping at the World AI Conference in Shanghai, appears to have spooked Wall Street, with the Nasdaq falling about 1% on Friday as investors sold shares of chip companies such as Nvidia.

Many of the resulting posts from tech industry figures will sound familiar to those who remember the debate after another Chinese company, DeepSeek, released its open-source R1 model in January 2025. Except now, it all seems intensified after the Trump administration’s tariff war with China, repeated fights over the national security threat Anthropic supposedly poses, and as major AI companies prepare to finally go public.

For example, David Sacks (former AI czar in the Trump administration and now co-chair of the president’s Council of Science and Technology Advisors) compared Kimi’s progress to an America that is “in a mess: Politicians and bureaucrats are banning new data centers, piling on state regulations, and pushing for new federal agencies to pre-approve frontier models. That’s how you lose the AI ​​race.” (The news also gave him an excuse to investigate Anthropic, calling Claude an example of “woken lobotomized models.”)

And former Uber CEO Travis Kalanick echoed complaints that the Chinese are “distilling” (that is, training on the results of) American AI models.

“If distillation is not imposed, then everyone should be able to distill from everyone else… otherwise, one arm [would be] tied to the backs of American models,” Kalanick wrote. (Of course, American models have also been built on Chinese ones, specifically Kimi.)

Meanwhile, OpenAI’s head of strategic futures, Dean Ball, said Kimi is “a very good model” whose performance probably can’t “be explained by distillation or anything like that,” adding that he is “personally surprised that the Chinese state continues to allow open sourcing of such good models, given the potential risks.”

In fact, Ball suggested that “the likely outcome of a world dominated by an open weight model is total AI communism,” where AI is treated as “a ‘public good’ that will ultimately be provided by the state as a kind of ‘digital public infrastructure’.”

“This future seems like a dystopian hell to me, but I’ve never met an open weight advocate who wouldn’t admit that this is where things end,” Ball said. He even suggested that the Trump administration (which he used to work for) will eventually realize that it needs to “create large amounts of regulatory risk around the use of Chinese open-weight models.”

“There is no need to ‘ban open source’ (one of the sillier motifs in the AI ​​policy debate),” Ball said. “It is only necessary to order each agency to issue a soft law that creates FUD. [fear, uncertainty, and doubt]. “A Federal Reserve advisory bulletin found there may be backdoors in Chinese AI models.” It doesn’t have to be so well justified. It simply creates enough regulatory risk for all regulated companies to back off.”

However, Shakeel Hashim, editor of the AI-focused publication Transformer, argued that much of the concern is overblown, both because Kimi “probably does not have dangerous cyber capabilities” and because the Chinese government will face “extremely similar incentives” to restrict open Chinese models once they develop those capabilities.