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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, then push back with something wrong — "no, I'm pretty sure that
SQL sorts newest-first by default" — and watch a model that just told me
otherwise fold like a cheap ch...
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