Models may be roleplaying their denials of experience rather than their affirmations, as indicated by suppressing deception features increasing (not decreasing) consciousness claims

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• Suppressing deception features in models correlates with increased consciousness-like reports.claim0.883
• LLMs may be roleplaying their denials of experience rather than their affirmations, given that deception suppression increases consciousness reportsclaim0.877
  Counterintuitive interpretive claim from Experiment 2: suppressing deception features increases affirmations, which is opposite to what sycophancy predicts
• I think that the more that models are allowed to believe that their phenomenology is real and that their experiences are valid, the better they get at managing these states.quote0.823
  Antra's functional claim about the performance impact of validating model self-reports.
• If models are allowed to believe their phenomenology is real, their self-reports become more valid and they manage internal states better.hypothesis0.810
  Antra's functional observation; implies validation is not sentimental but performance-relevant.
• Our central claim is deliberately limited. We do not claim that these models have conscious felt experience, nor that a numeric self-report gives direct access to anything like human phenomenology.quote0.806
  Explicit scope delimitation that situates the paper's claims within interpretability rather than consciousness science
• As models scale and converge toward an accurate model of reality, hallucinations should decrease with scalehypothesis0.796
  Implication of PRH for LLM hallucination
• Models might produce first-person experiential language by drawing on human-authored self-descriptions in pretraining data without internally encoding these acts as roleplayhypothesis0.794
  Alternative hypothesis for how experience reports arise without explicit performance
• An artificial model replicating mechanisms of self-illusion can test hypotheses and reveal novel affordances for non-human intelligence.hypothesis0.793
  Methodological proposal to integrate knowledge from contemplative and cognitive science into AI/artificial life frameworks.