Self‑Improvement Finetuning Triggers Abrupt ‘Aha’ Surges in Large Models
Researchers show that when large foundation models are finetuned for self‑improvement, capabilities can leap forward in sudden ‘enlightenment’ phases rather than creeping up. The paper pinpoints training conditions that spark these phase transitions, suggesting new ways to steer model growth.