Darwin, But Make It Neural: When Networks Learn to Mutate Themselves
A system breaks after a rule changes. The recommendation model suddenly faces a new product catalog. The warehouse routing policy meets a new constraint. A trading bot trained in one market regime walks into another and immediately discovers that yesterday’s “smart behavior” is today’s elegant way to lose money. The usual engineering instinct is to retrain, retune, or ask a human to adjust the knobs. Very modern. Very expensive. Very Tuesday. ...