What Sayash Kapoor thinks about LLMs

@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. 24 Feb 2026

   Our readingAutonomous AI agents in high-stakes contexts need 99.9% to 99.999% accuracy before reliability stops being an issue, and LLM-based agents are not on track to reach that.

   AI agents

   Their wordsOur view is that for autonomous operation in high-stakes contexts, we need 3-5 "nines" of performance - 99.9% to 99.999% accuracy - in order for reliability to become a non-issue, and we don't think LLM-based agents are on track to reach such a threshold.

   ↗New Paper: Towards a science of AI agent reliabilitynormaltech.ai 2nd of 3 in this piece