SOURCE-LINKED INTELLIGENCE
The Assistant's Ideal Self
Models express values and welfare-relevant self-reports, but it is unclear whether these outputs reflect stable preferences or a stable self. We thus introduce a structured elicitation of an assistant's preferred stated ideal self. Thirty-two qualities adapted from five published self-concept instruments are compared exhaustively in a counterbalanced pairwise-choice task, repeated across framings that vary whether improvement is free or costly, who receives the update, and who chooses. Results show that models prioritize moral qualities, reflecting their alignment to 3H principles. Following,
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T19:54:02.000Z
First collected: 2026-09-21T06:21:59.299Z. This is not the publication date.