Skip to content

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

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

Inference-time scaling

Related episodes

More from The TWIML AI Podcast

All episodes

More with Sam Charrington

All their work

We use cookies for analytics.