Jagged frontier

The jagged frontier describes how model capability does not follow human intuitions of difficulty: a system that resolves complex GitHub issues may read an analog clock correctly only 50.1% of the time (Stanford AI Index 2026). For agent design it means task decomposition must be tested empirically, not assumed from human difficulty rankings.