A joint report from the U.S. National Security Agency, the Federal Bureau of Investigation and the Cybersecurity and Infrastructure Security Agency names six Chinese artificial intelligence companies: DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Zhipu. According to the report, the firms had been using outputs from Claude, GPT, Gemini and Grok to train their own models since at least late 2024, in what U.S. authorities described as activity involving millions of requests and billions of tokens. The document also lists model-level allegations. It says DeepSeek used multiple Claude, GPT, Gemini and Grok models to generate training data for R1 and V3, while Moonshot AI allegedly used Claude Fable 5 data to train Kimi K3 and GPT-4o data to train Kimi K2. U.S. authorities also said the companies bypassed regional restrictions through large numbers of accounts, third-party API aggregators and gray-market relay services, and used prompts to try to extract hidden reasoning from models. The report refers to that behavior as malicious distillation.
ChainCatcher reported that a joint report released by the U.S. National Security Agency, the Federal Bureau of Investigation and the Cybersecurity and Infrastructure Security Agency named six Chinese artificial intelligence companies: DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Zhipu.
The U.S. side alleged that, since at least late 2024, those companies had been calling outputs from Claude, GPT, Gemini and Grok at scale to train their own models, involving millions of requests and billions of tokens in total.
The report listed specific models. It alleged that DeepSeek used multiple Claude, GPT, Gemini and Grok models to generate training data for R1 and V3. It also said Moonshot AI used Claude Fable 5 data to train Kimi K3 and GPT-4o data to train Kimi K2.
U.S. authorities also said the companies bypassed regional restrictions through large numbers of accounts, third-party API aggregators and gray-market relay services. The report added that they used prompts to try to extract hidden reasoning from models, describing that conduct as malicious distillation.
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