Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain

Researchers propose a framework for sustainable AI self-evolution through triadic roles (Proposer, Solver, Verifier) that ensures learnable information gain across iterations. The study identifies three key system designs to prevent the common plateau effect in self-play AI systems: asymmetric co-evolution, capacity growth, and proactive information seeking.