Who signed the "Open Weights and American AI Leadership" letter?

The letter launched on July 24, 2026 with about 25 companies and grew to roughly 50 within a day, including Nvidia, Google, Meta, Microsoft, OpenAI, IBM and Hugging Face. Anthropic and Amazon did not sign.

What does the letter say about AI model distillation?

It calls distillation — training one model on another’s outputs — “a widely used technique for model improvement” and argues that unlawful misuse should be addressed with targeted rules rather than a broad restriction on the technique itself.

Why is this letter significant right now?

It comes as US lawmakers debate restricting Chinese open-weight models like Moonshot AI’s Kimi K3, and as disputes over AI distillation between labs have already drawn government attention.

Is the letter binding legislation?

No. It is an advocacy statement addressed to Congress and regulators, not a law or rule — it asks policymakers to hold off on new restrictions on open-weight AI.

Nvidia's Huang Rallies 50 Companies Behind Open-Weight AI

Nvidia chief executive Jensen Huang made his first-ever post on X on July 24, sharing a joint industry letter, “Open Weights and American AI Leadership,” that urges US policymakers not to restrict open-weight AI models — systems whose parameters anyone can download, inspect and run on their own hardware.

The letter launched with roughly 25 signatories and doubled to 50 within a day, according to the document published on Nvidia’s website. The list now includes Google, Meta, Microsoft, OpenAI, IBM, Cisco, Dell, GitHub, Hugging Face and the Linux Foundation. Two of the industry’s largest closed-model labs are notably missing: Anthropic and Amazon did not sign.

A parallel to the 1980s

The letter compares today’s choice on AI to the rise of open-source software in the 1980s, arguing that openness “created a shared foundation of knowledge” that now underpins the internet and US government systems. It contends American AI leadership “will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector” — letting startups, hospitals and schools use AI without paying frontier-model prices for every task.

On security, the signatories argue that concentrating advanced AI in a handful of closed systems creates “single points of failure,” while open models let a broad community find and fix vulnerabilities — the same logic, they write, that made open-source software more secure than proprietary code over time.

Defending distillation

The letter also stakes out a position on distillation, the technique of training one model on another’s outputs. It calls distillation “a widely used technique for model improvement, evaluation and validation” and urges regulators not to conflate it with unlawful misappropriation — a pointed line after the White House accused Moonshot AI of distilling Anthropic’s Fable model earlier this month.

The push lands as Washington debates whether to restrict Chinese open-weight models such as Moonshot AI’s Kimi K3, and follows a July statement from 21 APEC economies backing open-source AI development. The letter calls on policymakers to expand compute access for startups and researchers and to avoid “premature restrictions” that could push AI innovation overseas.

A parallel to the 1980s

Defending distillation

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