What We Learned by Reproducing 2,200 papers from ICML

A large-scale hackathon reproduced 2,226 ICML 2026 papers using AI coding agents to verify scientific claims and assess reproducibility at scale. The project revealed reproducibility gaps and demonstrated how automated agents can accelerate validation, addressing the growing challenge of overwhelmed peer review.

This Wire brief sits within Fusion42's coverage of AI & ML.