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Human Vs AI Learning

Artwork for The data black hole at the center of AI
Dwarkesh Podcast

The data black hole at the center of AI

Dwarkesh Patel argues that sample efficiency is a central measure of intelligence, and that today’s AI progress has mostly come from vastly more data rather than models learning like humans. He says the key bottleneck is not just model size but the enormous gap between human and frontier-model data needs, which may force labs to automate AI research itself.