Jensen Huang's Open AI Models Letter Draws Industry-Wide Support

NVIDIA CEO Jensen Huang initiated an open letter supporting open-weight AI models, quickly garnering signatures and public backing from major industry players. The letter argues that AI will transform every industry, and open models are crucial for improving safety and cybersecurity, accelerating the diffusion of innovation, and supporting technological sovereignty. Microsoft, AMD, Google, and OpenAI have signed on, with former OpenAI executive Mira Murati also publicly expressing her support.

已确认

Core points outlined by Jensen Huang in the open letter include: AI will change every industry, drive every company, and be built by every nation; open models help enhance safety and cybersecurity, accelerate innovation diffusion, and support tech sovereignty; the AI ecosystem requires both closed and open-source models to coexist. Google CEO Sundar Pichai expressed his support, emphasizing that Google has consistently benefited from and contributed to open source, offering open-weight models like Gemma through DeepMind alongside Gemini. AMD confirmed it signed the letter alongside Microsoft and others, stressing that a robust AI ecosystem demands open standards, interoperability, and choice across software, systems, and hardware. OpenAI has signed, and Elon Musk has expressed a similar supportive stance. Mira Murati publicly backed Huang's views, arguing that the knowledge needed to make AI genuinely useful is dispersed among scientists and engineers, meaning AI itself must also be distributed.

为什么重要

This joint endorsement marks a rare collective statement from the AI industry regarding the "open versus closed" route debate. Hardware manufacturers like NVIDIA and AMD, alongside software and model giants such as Google, Microsoft, and OpenAI, are sending a clear signal to Washington policymakers: the industry mainstream supports the development of open-weight AI models. This is not merely about choosing a technological path; it directly impacts the future trajectory of AI regulatory policies.

2026-07-25 ~ 2026-07-27 · 11 related posts

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