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2026.10.16Friday·AI beyond the horizon·himiao.ai
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Talks & Podcasts·YouTube·2026-10-14

Why a 4-Billion-Point Kaggle Dataset Still Couldn't Beat Chance — Ian Quigley, Leash Bio (Latent Space)

Latent Space podcast episode of Oct 14, 2026, 1:49:56. The host interviews Ian Quigley of Leash Bio on how DNA-encoded libraries produce high-throughput protein–small-molecule interaction data; the BELKA Kaggle competition (about 4B measurements, ~2,000 teams) where no team beat chance on an unseen

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  1. Introduction: Ian Quigley and Leash Bio

  2. How DNA-encoded libraries work

  3. Barcodes and controls to catch DNA-binding false positives

  4. Designing the BELKA Kaggle competition: ~4B measurements, hidden evaluations

  5. What the Kaggle results taught: no team beat chance among ~2,000

  6. Clever Hans: predicting a molecule's chemist from its structure

  7. Language models and the scientific-reasoning sandbox Minos

  8. From DEL hits to mouse PK/PD in six months on an inflammation program

SourcePublished by Latent Space on YouTube (original); all rights belong to the creator. We only embed the official player; key points by HIMIAO Horizon.

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