AI Improves Its Own Mathematical Foundations: AlphaEvolve Optimizes Matrix Multiplication

New research (AlphaEvolve) uses machine learning to improve the exponent of matrix multiplication (ω), a fundamental mathematical constant. This meta-optimization breakthrough demonstrates AI improving its own theoretical foundations, with potential long-term impact on infrastructure planning. The human-in-the-loop pattern (domain expertise + ML search + refinement) is a key takeaway.