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Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
This is how wet-lab AI should work: real experimental data becomes the ground truth that catches model hallucinations, then turns into training signal for chemistry agents. The DEL (display) assay is tedious and failure-prone, which makes it perfect leverage for AI—Leash is showing how. For builders in biotech: if you're training agents on chemistry, your training data needs to be grounded in assay results, not just structure prediction. This is the operational model.