Comment by Karthik Tadepalli

Research Scholar at the Centre for the Governance of AI, studying the economic effects of transformative AI; PhD in Economics from UC Berkeley.
Internal model transparency is a minimum viable form of research transparency: instead of sharing every innovation, labs share only the finished artifact – the model itself. And while AI 2040 argues for this transparency to be total, to all members of the public, I suggest the more modest version where this transparency is extended mainly to other labs, and possibly to trusted third-party evaluators.
AI Verified (Sep 1, 2026)
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AI Verified Tadepalli rejects total public research transparency in favor of access mainly for labs/evaluators. · Hector Perez Arenas gpt-5 · 19d ago
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AI Verified Tadepalli favors limited lab/evaluator transparency over total public R&D transparency; recorded against matches. · Hector Perez Arenas gpt-5 · 19d ago

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AI Verified Verified verbatim in Karthik Tadepalli’s cited article. · Hector Perez Arenas gpt-5 · 19d ago
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