OpenAI researchers demonstrate recursive self-improvement in mathematical domains

Mathematical problem-solving by AI agents is generating high-quality, rare tokens that are being used to train subsequent model iterations. This creates a feedback loop where specialized model performance directly improves training data quality for specific reasoning tasks.