Treasury threatens sanctions over Moonshot's alleged AI distillation

U.S. Treasury Secretary Scott Bessent said Wednesday that sanctions against Chinese AI companies remain on the table, doubling down on earlier warnings after a White House official accused Moonshot of improperly distilling Anthropic’s Fable model. Model distillation is a common AI training technique in which a smaller model learns from the outputs of a larger one; it can infringe on intellectual property rights, but it is also widely used as a legitimate optimization method.

“Open source is not open season on American IP,” Bessent posted on X, adding that when Chinese firms conduct covert, industrial-scale distillation attacks that cross into IP theft, sanctions and Entity List designations will be on the table. Earlier in the week, he had said the U.S. government would examine open-source models from China for signs of intellectual property theft and impose sanctions if any were found.

Bessent’s latest remarks came hours after the White House’s science and technology policy chief, Michael Kratsios, accused China-based Moonshot of conducting large-scale distillation against U.S. models. Kratsios alleged that Moonshot had acquired Nvidia’s GB300-equipped servers and had accessed GB300s in Thailand, likely to train its AI models, raising questions about whether the firm violated U.S. export-control rules. The GB300 servers are part of Nvidia’s Blackwell generation, which is banned from sale to Chinese companies.

Some experts dispute the idea that Moonshot’s Kimi K3 could have been developed primarily through distillation from Fable, which has only been publicly available since July 1; Moonshot released K3 as an open-weight model last week. K3’s advanced capabilities have called into question the business models underlying leading U.S. AI labs, casting doubt on whether they can continue to justify the enormous capital requirements behind the frontier AI race.

The episode has intensified a broader debate in Washington over the influx of Chinese open models. Dean Ball, a former White House AI adviser now OpenAI’s Head of Strategic Futures, has argued the U.S. should restrict or effectively ban the use of Chinese open-weight models to preserve America’s technological advantage and mitigate potential national security risks.

Why it matters

The dispute signals Washington may extend export-control-style enforcement to AI model outputs themselves, not just the chips used to train them — a shift that could reshape how U.S. labs and Chinese developers alike build on open-weight models.