Perceived AGI: Believability as Dimensional Completeness, Not Capability
2.60T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2607.15883.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA conceptual framework arguing that AI believability depends on 'dimensional completeness' — expressing first-person stances across four dimensions (time, truth, entropy, love) — rather than raw capability. Observable through initiative and cadence. No human-subjects data; six falsifiable predictions proposed for future testing.
Why it mattersReframes AGI from benchmark capability to perceptual dimensions, with testable predictions and explicit acknowledgment of attachment and manipulation risks.
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