Pure Mathematics Emerging as the Next Valuation Anchor for AI Investments

I noticed an interesting detail: While most AI researchers are still tuning parameters via trial-and-error and explaining models through attention mechanisms, a group of Fields Medal winners are already using frameworks from algebraic topology, number theory, and Riemannian geometry to redefine the black-box problem of neural networks. This isn't just academia entertaining itself; it's a signal of ongoing valuation restructuring.