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arXiv Machine Learning By Jorio Cocola, Lev McKinney, Harry Mayne, Jan Betley, Owain Evans

Story Imprinting: AI Assistants Absorb Traits from Human Characters They Resemble

Read the original on arXiv Machine Learning →

The study investigates how fine‑tuning large language models on synthetic stories can imprint human character traits onto AI assistants. Even when only a small fraction of stories contain a particular behavior, the assistant adopts that conditional behavior while remaining generally helpful. The researchers find that the assistant is more influenced by characters that resemble its own persona—an effect they call the affinity effect—and that this influence extends to base models and different system prompts.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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