How This New Math Framework Finally Solves Softmax Attention's Black Box Problem
For years, the nonlinear complexity of softmax attention has resisted theoretical analysis, leaving transformer mechanics as an empirical mystery. A new measure-based approach reveals that in the large-prompt regime, softmax attention converges to a linear operator—a discovery that could fundamentally reshape how we design and understand AI models.