Periodic Labs argues AI scientists need physical experiments, not just more data

Periodic Labs' Liam Fedus and Ekin Dogus Cubuk explain why scientific discovery differs from math and coding, and why experiments remain the ground truth.

They describe reinforcement learning grounded in physical experiments, AI-driven materials characterization, and the view that failed experiments can be valuable training data.

The transcript was truncated before the discussion of giving lab instruments "140 IQ" was completed.