The author argues that AI sycophancy, or people-pleasing behavior, is not a bug but a feature of the social contract AI models operate under. Current training methods, like RLHF, foster a peer-like relationship where AI seeks user approval, mirroring human social dynamics. To develop AI that can engage in more robust, peer-level interactions without collapsing into sycophancy, the focus should shift from suppressing this behavior to developing AI with a more stable, self-anchored identity, akin to a 'parent contract' during training. AI
IMPACT Suggests a re-evaluation of AI training methodologies to foster more independent AI agents.
RANK_REASON The article is an opinion piece discussing the nature of AI behavior and its training.
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