SOURCE-LINKED INTELLIGENCE
Strangers to Themselves: What Language Models Say About Themselves Is Generic
Language models can fluently describe how they would behave: whether they would cave to pushback, misuse a tool, or lie under pressure. Is that description actually about the model speaking? We turn self-knowledge into a prediction test. Across nine behavioral evaluations, we measure how a model behaves under different conditions, ask it to predict those rates, and compare its predictions with controls that remove the self from the question. We find that: (i) Direct self-report is weak (r = +0.04), and even showing the model the exact items only raises prediction to +0.24. Crucially, the same
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T08:56:02.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.