METR's Benchmarks vs Economics: The AI capability measurement gap
Update: 2025-12-28
Description
In this episode, drawing on insights from the sources, METR researcher Joel Becker explores the widening gap between AI’s exponential progress on benchmarks and its actual impact on real-world productivity. We examine a surprising study where expert developers were slowed down by 19% when using AI, challenging the assumption that benchmark success translates directly into immediate economic gains. The discussion investigates the "puzzle" of why low AI reliability and the complexity of high-context environments continue to hinder performance in the field compared to synthetic tests.
Source: https://www.youtube.com/watch?v=RhfqQKe22ZA&list=TLGGeQVQrQpc6NgyODEyMjAyNQ
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