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Do AI Tokenomics Matter More Than Model Benchmarks? with Christopher Potts

Christopher Potts

Hosted by Sam Charrington

Published Sep 9, 2026
59 min

About

Christopher Potts examines whether increasing token consumption translates into useful improvements in AI performance. The discussion covers evaluation beyond benchmarks, inference-time scaling, DSPy, interpretability, user expertise and architectural changes that could improve the economics of capable AI systems.

Topics

Token economicsModel evaluationInference-time scaling

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