What Sayash Kapoor thinks about recursive self-improvement

@sayash-kapoor · 20 positions · On ppll ↗

PhD candidate in computer science at Princeton's Center for Information Technology Policy; researches the societal impact of AI and co-writes AI as Normal Technology with Arvind Narayanan.

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1 dated position, 2026, in their own words. Our reading of what Sayash Kapoor has said — not written or endorsed by them.

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1. 5 Aug 2026

   Our readingFaster AI progress on narrow, verifiable tasks will not lead to broad recursive self-improvement or explosive AI progress.

   Their wordsOur view is that while faster progress is certainly possible on narrow tasks (such as improving efficiency), we don't think it will lead to broad RSI or explosive progress.

   ↗AI agents can't yet do open-ended AI researchnormaltech.ai 2nd of 2 in this piece