A Chinese open-weight AI model called Kimi K3, developed by Beijing-based firm Moonshot AI, has sent a shiver down the spines of AI tech executives. The powerful, 2.8 trillion-parameter model impressed with its competence, igniting a war with far more expensive alternatives being offered by the likes of OpenAI and Anthropic.
Top executives at both companies are sounding alarm, the Wall Street Journal reports, watching as Chinese open-weight models are rapidly catching up to their most powerful proprietary models. As a result, they’re begging the Trump administration to step in and protect them from the influx of cheaper alternatives, which could undermine their increasingly desperate attempts to attract new customers.
Dean Ball, who joined OpenAI as the head of strategic futures after helping shape AI policy for the Trump administration, was seemingly rattled, arguing that allowing Chinese open-weight models to take over would result in “AI communism” in a controversial and widely disputed tweet.
He also suggested the Trump administration would inject enough “fear, uncertainty, and doubt” through “regulatory risk” that would eventually deter hyperscalers from using Chinese AI.
OpenAI CEO Sam Altman has also watched as China continues to catch up in the ongoing race, telling CNBC in February that the progress the country’s tech sector had made was “remarkable” and “amazingly fast.”
Altman has also signaled that he’s prepared to slash prices for the company’s latest AI models. While he didn’t directly mention the skyrocketing popularity of cheaper AI alternatives from China, Altman tweeted last week that OpenAI would be “happy to deliver” its latest flagship GPT-5.6 Sol AI at “one-quarter of the price.”
Anthropic CEO Dario Amodei also has a long track record of begging the US to stop selling AI chips to China, likening Nvidia selling its hardware to the country to “selling nuclear weapons to North Korea and then bragging that the missile casings are made by Boeing and so the US is ‘winning,’” in a lengthy January essay.
In June, Amodei called capable open-weight models a serious concern, arguing that the US government should have the power to block AI developers from deploying risky AIs.
The incursion isn’t just coming from China. As the WSJ notes, US-based AI labs are starting to switch to open-weight models. Just last week, former OpenAI exec Mira Murati’s Thinking Machine Lab released its first model, which happens to be open-weight.
The trend could put AI companies in a bind: how can they keep financing their enormous AI data center projects and advanced model development if potential customers start switching to heavily subsidized or free AI models that provide good-enough or even frontier capabilities?
Early…
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