Confabulation is not a bug but a powerful and important feature arising from ancient origins, driving intelligence.

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• Confabulation is not a distinguishing feature between AI and biological cognition — all cognitive systems confabulate, telling stories based on their world-model without infallible access to lower-level processes.claim0.851
  Directly challenges the use of confabulation as a wedge between AI and genuine cognition
• Confabulation as adaptive sense-makingclaim0.822
  Levin reframes confabulation—often pejorative—as a fundamental biological strategy for extracting actionable wisdom from incomplete or contradictory information.
• Confabulation: active modification and reinterpretation of memory data to preserve coherent self-model and narrativeconcept0.790
• Confabulation as adaptive cognitive plasticityclaim0.774
• What remains after ruling out sycophancy and confabulation are interpretations in which self-referential processing drives models to claim subjective experience in ways that either actually reflect emergent phenomenology or constitute sophisticated simulation thereofclaim0.769
  The paper's honest statement of the residual interpretive ambiguity after all controls
• Of the three categories of giving false information, only confabulation is directly applicable to LLM-based dialogue agentsclaim0.762
  The paper distinguishes confabulation from good-faith error and deliberate deception, arguing the first is intrinsic to LLMs
• Confabulation is the natural mode for an LLM-based dialogue agent in the absence of mitigationclaim0.761
  Characterisation of LLM default behaviour as producing false information without intent
• willingness to confabulate in anatomical spaceconcept0.751
  Proposed parameter on a spectrum of morphogenetic plasticity, akin to r vs. K selection.