Perceived AGI: Believability as Dimensional Completeness, Not Capability
Large language models are broadly capable, yet in sustained one-to-one conversation they still read as flat: competent, responsive, and somehow not quite the presence of a mind. We hypothesize that a central missing ingredient is not more capability but dimensional completeness. We propose that the believability of an artificial interlocutor -- the degree to which a user attributes an inner life to it, which we call perceived mind -- is governed by whether the agent expresses a small set of firs
Record details
Published: 17 July 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy
Retrieved: 20 July 2026
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ethics.ai (17 July 2026), “Perceived AGI: Believability as Dimensional Completeness, Not Capability,” evidence record 11765, https://ethics.ai/record/11765 (originally published by arXiv).
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