Self-Evolving ARC Model

The experiment began below 5% on ARC-AGI and improved itself to 21.43% on a subset through iterative self-modification.

It combines Darwinian exploration with a Feynman-style layer that converts improvements into reusable knowledge instead of treating every successful mutation as a black box.