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

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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.

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Inference-time scaling

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