GPT-5.6 Sol Pro solves open problem in convex optimization

OpenAI researchers have released a specialized version of their latest model, GPT-5.6 Sol Pro, which successfully identified a new approach to a long-standing challenge in convex optimization. By formalizing a novel algorithm for constrained quadratic programming, the model demonstrates an increased capacity for autonomous mathematical reasoning. This development suggests that large language models are becoming more effective tools for aiding researchers in solving complex, multi-step theoretical problems that previously required human intuition.