Joseph Krause, founder and CEO of Radical AI, joins the AI for Science podcast to make the case that the bottleneck holding back aerospace, defense, computing, and consumer products isn't ideas — it's experiments. His answer is the self-driving lab: a closed-loop system where an AI scientist generates hypotheses and a fully automated lab synthesizes, characterizes, and tests them at speeds no human team can match. In six months, Radical has produced 1,200 alloys — nearly 10x the pace of the best prior DARPA program — with 300 novel compositions and 10 already being developed for commercial applications. We dig into why no model can one-shot a material, how their AI scientist is exploring elemental families human scientists never considered, the geopolitical race with China on materials, and why Joseph believes the moat in this industry is the lab and the data, not the model.
