Doyne Farmer on Chaos, Complexity, and the Future of Economics

On Inside Curious Minds with Pavan Mirla, Macrocosm co-founder and Oxford complexity economist J. Doyne Farmer traces his path from beating roulette in Las Vegas and co-founding the Prediction Company to building bottom-up, agent-based models of the global economy. He explains why complex systems demand simulation over equilibrium assumptions, how chaos differs from randomness, and what agent-based modeling reveals about financial crashes, regulation, and the limits of AI for economics.

Watch the full conversation here.