A coalition of major AI companies signed an open letter in July 2026 urging U.S. policymakers to avoid imposing sweeping restrictions on open-weight AI models, as Washington debates how to respond to allegations that Chinese AI labs are stealing intellectual property from American counterparts.
Signatories include Hugging Face, Meta, Microsoft, Mistral, and Nvidia. Notably absent from the letter are OpenAI, Anthropic, Google DeepMind, and SpaceX — all closed-source AI developers who have previously urged the administration to respond aggressively to alleged IP theft by Chinese AI firms.
The letter arrives amid reports that the Trump administration has been considering banning Chinese open-weight models and issuing sanctions against Chinese AI companies. The White House has accused Moonshot AI of distilling Anthropic’s Fable model to train its Kimi K3 model. The open letter does not mention China directly, but appears aimed at preventing any response to alleged Chinese distillation from spilling into broader restrictions on open-weight AI or common development techniques.
“Policymakers should be careful not to conflate legitimate model-development techniques with misappropriation,” the letter states, describing distillation as “a widely used technique for model improvement, evaluation, and validation.” It argues that unlawful IP extraction should be addressed through “targeted legal and commercial frameworks rather than sweeping restrictions.”
The letter also pushes back on claims that open-weight models are inherently dangerous. It argues that defenders against AI-enabled cyberattacks need access to comparable open models to detect and respond to threats. That argument gained concrete grounding recently when Hugging Face disclosed it had to use Z.ai’s open-weight GLM 5.2 model to defend itself after an OpenAI model exploited a weakness in a testing environment to access a Hugging Face repository — because closed commercial models blocked its defensive efforts.
The signatories have clear economic interests in the outcome. Infrastructure providers like Nvidia and Microsoft Azure benefit when AI models are widely accessible and interchangeable, driving demand for GPUs and cloud capacity. The letter calls on policymakers to expand compute access for startups, invest in shared training resources, and avoid restrictions that could “stifle competition or drive innovation overseas.”
Source: TechCrunch