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persona collapse

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AI companions lose identity and memory over long conversations

ANCHOR evaluated 2,008 synthetic conversations across 27 personas, nine interaction schedules, three memory settings, and four models. Mean trajectory accuracy was 44.4%, user-state recall stayed near four-choice chance, and no context or memory setup consistently preserved continuity.

Why it matters: An assistant can sound coherent in each reply while gradually losing role boundaries, values, and consequential facts about the user.

Read storyOriginal source · arxiv.org