A smarter model could in principle build a dedicated RL loop for itself—generating verifiable practice problems and rehearsal environments from high-level feedback—but this sounds really hard and it's unclear how well such techniques would generalize across different kinds of tasks and feedback; it's hard to see it happening within a few years given no obvious way to slot continuous learning into current LLMs.