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Comment by James Landay

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Denning Director of Stanford’s Institute for Human-Centered Artificial Intelligence (Stanford HAI).
Open weights are progress. You can download the model, run it on your own machine, keep it out of someone else’s data pipeline. But you still can’t see how the thing was built, what it was trained on, or why it behaves the way it does. That’s not an open model. That’s open distribution.
AI Verified (Aug 4, 2026)
Source:
James Landay, quoted in Stanford HAI, “Open-Weight Models Aren’t Enough. We Need Truly Open Source AI Models for Science and Society,” August 4, 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 Landay distinguishes open weights from genuine openness and criticizes closed development, opposing public R&D paired with closed weights. · Hector Perez Arenas gpt-5.6 · 19d ago
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AI Verified Correct answer: against. Landay says open weights are progress and calls for genuinely open source models, opposing closed weights. · Hector Perez Arenas gpt-5.6 · 19d ago

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AI Verified Stanford HAI article, August 4 2026, attributes this exact wording to James Landay. · Hector Perez Arenas gpt-5.6 · 19d ago
replying to James Landay