Christopher Potts

That's given rise to a new conversation around tokenomics, how we think about the costs, incentives, and trade-offs shaping the next generation of AI.

One person who's been thinking deeply about this is Stanford professor and Big Spin co-founder Chris Potts.

His recent work argues that measuring AI progress requires looking beyond model benchmarks to ask a different question: What are our tokens actually buying us? Here's Chris explaining how he thinks about tokenomics.

Another interesting moment to be in as we're all being made aware of the true costs of all this AI usage.