Google Research Harness² refines AI agent harnesses

The author examines Harness², a Google Research project that explores how AI agents can refine their own execution harnesses while keeping model weights fixed. The post outlines a practical testing protocol for harness improvements, emphasizing targeted component changes, retained lessons, and untouched evaluation sets to prevent data leakage and ensure generalization. Open article →