Nvidia Corp. (NASDAQ:NVDA) CEO Jensen Huang published his first-ever post on X Friday, and he skipped the introductions entirely — using his debut to amplify a sweeping industry defense of open-source AI.
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The First Post
“For my first post, I’m sharing a letter @NVIDIA signed on why open models matter,” Huang wrote. “AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models.”
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
— Jensen Huang (@JensenHuang) July 24, 2026
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.… pic.twitter.com/t02bi51N4C
A 20-Plus Company Coalition
The letter he attached, titled “Open Weights and American AI Leadership,” is signed by more than 20 companies and organizations, including Nvidia, Meta Platforms (NASDAQ:META), Microsoft (NASDAQ:MSFT), Palantir Technologies (NASDAQ:PLTR), CrowdStrike (NASDAQ:CRWD), IBM (NYSE:IBM), ServiceNow (NYSE:NOW), Hugging Face, Mistral AI, Mozilla, the Linux Foundation, Andreessen Horowitz, Y Combinator and Perplexity.
The coalition draws a direct parallel between today’s open-weight AI debate and the rise of open-source software in the 1980s, arguing that open models expand economic access by letting startups, universities and public institutions build on advanced AI without training frontier-scale models from scratch.
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The letter also makes a counterintuitive security case: rather than open weights creating national security risk, the signers argue that concentrating advanced AI inside a handful of closed models creates a “single point of failure” that’s harder to test, audit, or defend.
Broader access, they contend, lets more researchers hunt for vulnerabilities and strengthen defenses against AI-powered cyberattacks.
The letter also pushes back on efforts to restrict a widely used AI training technique. Distillation — using one model’s outputs to help train or improve another — is described as a “natural process” in AI development rather than “misappropriation,” with the signers urging that legitimate IP concerns be handled through targeted legal frameworks instead of blanket restrictions on the technique.
Part Of A Bigger Push?
Huang’s debut post lands just two days after he told Axios in an exclusive interview that Chinese open-source models like Moonshot AI’s Kimi K3 are “excellent” and should be usable by American companies, dismissing fears that they could displace U.S. labs as “zero possibility.”
Taken together, the two moves look like a coordinated push from Nvidia just as Washington debates whether to restrict open-weight AI models — a fight with direct implications for how much compute, and how many chips, get sold in the years ahead.
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Photo: Shutterstock
