The Vibe I get from the KAN paper

When I read the KAN paper, I see physicists casually making fun of the uncertainties in MLPs:

- "The philosophy here is close to the mindset of physicists, who often care more about typical cases rather than worst cases" lol this went hard on NNs

- "Finite grid size can approximate the function well with a residue rate independent of the dimension, hence beating curse of dimensionality!" haha.

- "Neural scaling laws are the phenomenon where test loss decreases with …

cases deeplearning fun grid making mindset nns paper philosophy