What Arvind Narayanan thinks about recursive self-improvement

@arvind-narayanan · 23 positions · On ppll ↗

Professor of Computer Science at Princeton University and director of the Center for Information Technology Policy; co-writes AI as Normal Technology with Sayash Kapoor.

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1 dated position, 2025, in their own words. Our reading of what Arvind Narayanan has said — not written or endorsed by them.

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1. 9 Sept 2025

   Our readingRecursive self-improvement in AI will not produce superintelligence because bottlenecks outside the AI system's own technical design limit what it can achieve.

   AI alignmentdesign

   Their wordswe don't think RSI will lead to superintelligence because the external bottlenecks to building and deploying powerful AI systems cannot be overcome by improving their technical design.

   ↗A guide to understanding AI as normal technologynormaltech.ai 2nd of 3 in this piece