I'm a cognitive psychologist not mathematician. But we swapped simple trig for Riemann zeta functions and modular forms, replaced Euclidean distance with L^p norms, and somewhere in there the code grew Turing patterns — leopard spots from pure trigonometry.
The AI journey was epic: 58 abandoned features, 39 reverts, and a throwaway rate that peaked at 18% in August. The essay documents the whole thing — with git stats revealing the 11/25 unlock of new gemini and claude models.
Is this the state of the art in AI music listening?