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Karthik Tadepalli
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Research Scholar at the Centre for the Governance of AI, studying the economic effects of transformative AI; PhD in Economics from UC Berkeley.
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Karthik Tadepalli votes Against and says:
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) -
Karthik Tadepalli votes Against and says:
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...
more AI Verified source (Sep 1, 2026)