Stanford's Anshul Kundaje: Data Availability, Not Algorithms, Will Limit AI Breakthroughs
anshulkundaje · x · 2026-11-15
In a debate with Dwarkesh Patel, Stanford professor Anshul Kundaje argues AI algorithms and capabilities will rapidly improve but remain constrained by learnable data. In many domains, AIs capable of incredible breakthroughs will stall on data availability: discovering new knowledge requires inventing new physical measurement devices and trial-and-error in the real world, not just compute in a data center. He calls this a major rate limiter.
Related event: Stanford Professor Says Data Access Will Be the Rate Limiter for AI(2 posts)→
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