# Lab-in-the-Loop at Compute Speed - Ian Quigley, Leash Bio

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-10-14T20:35:09.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 90/100  
> **Primary Source:** [Latent Space](https://www.latent.space/p/lab-in-the-loop-at-compute-speed)  
> **Canonical Citation:** [https://spidits.com/timeline/lab-in-the-loop-at-compute-speed-ian-quigley-leash-bio](https://spidits.com/timeline/lab-in-the-loop-at-compute-speed-ian-quigley-leash-bio)

## Executive Summary
How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models. And why that same data is perfect for AI agents learning to think like chemists.

## Why It Matters (Strategic Analysis)
Raw high-throughput assay data generated through rigorous lab-in-the-loop pipelines provides the necessary training substrate for reinforcement learning in chemistry agents. This addresses persistent generalization failures where models exploit proxy features like chemical authorship rather than true structural binding physics.

## Referenced Coverage & Sources
- **[Latent Space](https://www.latent.space/p/lab-in-the-loop-at-compute-speed)**: Lab-in-the-Loop at Compute Speed - Ian Quigley, Leash Bio — _How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models. And why that same data is perfect for AI agents learning to think like chemists._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*