| | Hey | Most of the AI we talk about is trained on what humanity has already written down. Eli Bixby’s problem is the opposite. | | Eli is Head of Machine Learning at Cradle, a protein engineering company whose software is used by pharma, agriculture, and industrial biotech teams. In biology, most of the data needed to design a useful protein hasn’t been collected yet. So Cradle’s models don’t just generate answers. They recommend which experiments a scientist should run next, learn from the results, and repeat. Eli says it usually takes two or three rounds to hit a customer’s targets. | Cradle won a public competition to design a protein that binds tightly to a cancer target, out of 130 teams and more than 1,000 submissions. That result is a good proof point for its technology. What happens after a pharma company buys that technology is the more unusual part. | Watch the full episode on YouTube. | Also available on Spotify & Apple Podcasts. | | Ready to move from better prompts to automating real work in Claude? | → Join our Claude Cohort |
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