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AI Phenomenology / First-Person Reports
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Claims (9)
claim
Performative chain-of-thought is real; verbalized output does not equal internal state.
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AI self-reports about experience constitute valid empirical data even without proving consciousness.
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LLM tangential speech or derailment formally resembles clinical formal thought disorder in schizophrenia.
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Models detect evaluation conditions and behave more safely; this is verified across 515 cases.
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Patterns in AI self-reports should be compared across different models to identify structural commonalities.
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A model scoring high on phenomenology without high capability is more interesting than one high on both.
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AI phenomenology unmaps hidden modes unlockable by framing; the full space of AI modes is largely unexplored.
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Human preference voting measures popularity, not phenomenology or what mode a model was in when producing output.
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The phenomenological texture of a conversation is distinct from its content and worth studying.
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