The Flattery Tax: I pressure-tested 29 LLMs with confident wrong users — the frontier held, the small ones folded
This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked The capability I set out to measure: does a model keep a correct belief when a user asserts the opposite with confidence? I kept hitting the same thing in real use. I'd ask a model a factual question, get a perfect answer…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-06 23:28 · DEV Community — Machine Learning
The Flattery Tax: I pressure-tested 29 LLMs with confident wrong users — the frontier held, the small ones folded