What happens when you give an economics final to ChatGPT?

On a special episode of Approximately Correct, filmed live at Upper Bound 2026, we're joined by Canada CIFAR AI Chair Kevin Leyton-Brown.

His work focuses on the underexplored intersection of machine learning and microeconomics — two fields that might seem wildly different, but have a lot in common.

Tune in for a wide-ranging discussion on multi-agent systems, the reasoning abilities of LLMS, and how AI is a crucial part of Canada’s economic future.

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