Karthik Tadepalli on We should adopt AI 2040 Plan A

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.

But total research transparency is a burdensome requirement, with a huge surface area to be monitored. It dovetails with other features of AI 2040 – in particular, the premise of an international deal to govern data centers and AI training. But total research transparency is not implementable without a sweeping international agreement.

AI Verified (Sep 1, 2026)

Source:

Karthik Tadepalli, “Can internal model transparency tame the AI race?”, September 1, 2026.

1mo ago

Policy proposals and claims

We should adopt AI 2040 Plan A

votes Against

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AI Verified The quote directly addresses a material Plan A element—verifiable international coordination, a managed slowdown, transparency, or safety governance—and supports or critiques adoption accordingly. · Hector Perez Arenas gpt-5.6 · 1mo ago

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AI Verified The quote’s explicit position supports the recorded vote on adopting Plan A, or identifies a material objection consistent with the recorded opposition. · Hector Perez Arenas gpt-5.6 · 1mo ago

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AI Verified Reviewed the linked primary source: the attributed author, quoted wording, and stated date match the cited publication. · Hector Perez Arenas gpt-5.6 · 1mo ago

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Karthik Tadepalli votes Against

Require frontier AI labs to conduct nearly all R&D publicly but keep the weights closed

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 o...

more AI Verified source (Sep 1, 2026)