Kimi K3 Model Impresses But Does Not Merit US China Panic
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Kimi K3 threatens to once again send Washington into a panic. But look a little closer, and the hysteria may be unwarranted. On Thursday, the AI industry got its second “DeepSeek moment” — this time courtesy of Moonshot, whose new Kimi K3 model has “erased America’s AI lead,” according to Axios. And unlike America’s best models, Moonshot plans to release K3’s weights: meaning, if you believe the hype, that the best model in the world will soon be open-sourced. The launch coincided with the World AI Conference in Shanghai, which kicked off with a speech from Xi Jinping earlier today. Xi doubled down on China’s open-source AI strategy, positioning China as a collaborative partner to other nations — implicitly contrasting its approach with the closed strategy pursued by America’s leading companies. Combined, the two events are already adding to the growing panic around the US “losing the AI race” to China, particularly when it comes to open-weight models. Two concerns dominate: that without competitive US open-weight models, the “global AI stack” will be built on Chinese, not American, technology; and that the US might lose its lead in AI altogether. But take a step back and actually look at the evidence. While Kimi K3 is certainly a very good model, by the company’s own admission, it is not at the frontier. That means that unlike Claude Mythos or GPT-5.6 Sol, it likely does not have dangerous cyber capabilities. At this level, releasing model weights makes sense, especially for a country lagging behind: it poses few risks, and significant geopolitical benefits. That does not mean China will keep open-sourcing models forever. Once China reaches an actually dangerous level of model capabilities — likely in the next six months — it will face extremely similar incentives to the US. And as we saw earlier this year, once capabilities threaten national security, even the most deregulatory governments suddenly change their tune. Xi Jinping and his colleagues are not stupid: open-weight models with advanced cyber capabilities would be a disaster for cybersecurity everywhere, China included. No one wants that. There is already some evidence China will become more cautious. Earlier this month, Reuters reported that it is considering restrictions on models with advanced capabilities, which could include curtailing open-weight releases. Xi’s speech today, meanwhile, emphasized the need to tackle AI risks — even more speculative ones like loss of control. The upshot, then, is that Chinese companies are likely to stop releasing the weights of their frontier models rather soon. That has obvious implications for the US. There is no need to try to push the open-weight frontier forward. It should certainly try to be competitive on open weights — it is a shame that no American company has an open K3 equivalent — but accelerating further is unnecessary and needlessly risky. The rumored plans for a regime that would “streamline US-made models to market (both open-source and ‘closed,’ licensed models) if their capabilities are equal to or below the capabilities of leading open-source Chinese models,” as WP Intelligence reported this week, are a sensible way to establish reciprocity. At the same time, Washington should continue to try to slow down Chinese AI development to extend the US lead. Moonshot almost certainly trained its latest model using American chips, and probably relied — at least in part — on distilling American models. Measures like those set to be included in the Senate version of the NDAA, which will crack down on distillation and properly enforce chip export controls, would stymie China’s development further. The ultimate goal, however, should be a bilateral agreement. There are certain AI capabilities that neither the US nor China want to widely proliferate. Getting to an agreement that serves both countries’ interests will be hard, but it should not be impossible: Beijing agrees with Washington more than either will admit.