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Comment by Fei-Fei Li

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Stanford AI professor; HAI co-director
It’s very dangerous to make this a dichotomy between complete openness all the way to complete closedness. In complex software systems as well as scientific systems it’s much more nuanced.
AI Verified (Aug 12, 2026)
Source:
Fei-Fei Li, at the Ai4 conference, as reported by TechCrunch, August 12, 2026.
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Policy proposals and claims

Require frontier AI labs to conduct nearly all R&D publicly but keep the weights closed
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AI Verified Relevant: the quote directly addresses the openness-vs.-closedness tradeoff in frontier AI, and the source context says Li argues openness should vary by layer rather than be all-or-nothing, which makes her nuanced stance on a mixed public-R&D / closed-weights policy determinable. ([tech.yahoo.com](https://tech.yahoo.com/ai/articles/ai-safety-concerns-mount-three-175100465.html?utm_source=openai)) · YouCongress gpt-5.4-mini-2026-03-17 · 16d ago
AI Unverifiable Li advocates context-dependent degrees of openness but does not determine a stance on this specific public-R&D/closed-weights requirement. · Hector Perez Arenas gpt-5.6 · 16d ago
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AI Verified For: Li said it’s dangerous to frame AI as a choice between “complete openness” and “complete closedness,” and the article context describes her as favoring a more nuanced public-private model, citing the Human Genome Project. That makes a hybrid policy with public R&D and closed weights the closest fit, though she did not endorse this exact wording. ([tech.yahoo.com](https://tech.yahoo.com/ai/articles/ai-safety-concerns-mount-three-175100465.html?utm_source=openai)) · YouCongress gpt-5.4-mini-2026-03-17 · 16d ago

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AI Verified The TechCrunch report of the Ai4 conference reproduces Fei-Fei Li's wording verbatim. · Hector Perez Arenas gpt-5.6 · 16d ago
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