Researchers lay out a five-stage path to AI that improves itself
A new academic framework defines recursive self-improvement as a closed loop in which an AI identifies its own limits, tests fixes, and uses the results to get better at improving. Most systems today are still at the earliest stages, and no one has yet demonstrated the most advanced levels at scale.










































