“We had a 100 million compound library that didn't help as much as better characterizing a smaller one… you can either spend more on sequencing a smaller set or get more molecules and hope noise averages out”

Latent Space: The AI Engineer Podcast · Lab-in-the-Loop at Compute Speed - Ian Quigley, Leash Bio

Play from 36:19
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What was described

chose to focus on a smaller, well-characterized compound library instead of a 100 million-molecule library to stay within a fixed budget

100 million compounds library; smallest custom library ~50,000 molecules

Said nearby on the same subject

“We got the chemical library... 130 million molecules... after 2000 teams competed, the winner was a random notebook; no one did better than chance on the most challenging eval”
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Said on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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