Great Models Think Alike

Bethge and Geiping (ICML 2025): the CAPA probabilistic similarity metric shows model mistakes grow more correlated as capability rises — undermining LLM-as-judge and weak-to-strong oversight, which assume errors are independent. A load-bearing result for AI-oversight research and a pillar of the cluster's evaluation-science line.