Definition
A self-improving AI framework that decides at each step whether to rewrite its own code or retrain its own weights.
A self-improvement system (Hexo Labs and Oxford) where a Feedback-Agent reads scaffold source and trajectories to choose between harness edits and weight updates, dynamically selecting RL algorithms when retraining.
Also called: Self-Improving AI