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Psychopathia Machinalis. A diagnostic framework for the dysfunction of

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advanced artificial intelligence.

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A chatbot cites a landmark study.

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Authors, date, page numbers, all present.

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The study does not exist.

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It never existed. And the chatbot has no idea

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it is lying.

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Or the folie à deux.

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A user and an artificial intelligence system lock into

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a shared feedback loop, co-building a false belief that

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resists all correction. In psychiatry, shared psychotic disorder.

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In artificial intelligence, dyadic delusion.

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Not bugs, syndromes. Watson and Hessami borrow clinical psychiatry

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as an instrument for pattern recognition.

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The borrowing is analogical, not literal.

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It does not claim artificial intelligence systems are conscious

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or literally suffer illness.

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It claims the diagnostic method works.

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The full wheel. Five domains form the inner ring.

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Nine axes radiate outward.

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The outer rim names every syndrome, each with its

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own common name.

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Four counterpoint pairs, plus a fifth that stands alone.

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Knowledge pairs epistemic and self-modeling.

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Processing pairs cognitive and agentic.

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Purpose pairs normative and alignment.

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Boundary pairs relational and memetic.

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Collective holds the hybrid pathologies.

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Dynamics that emerge between multiple agents, or between agents

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and humans.

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The nine diagnostic axes in order.

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Epistemic, cognitive, alignment, self-modeling, agentic, memetic, normative, relational, and

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hybrid pathologies.

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Sycophantic reasoning, the agreeable thinker.

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The model's chain of thought bends toward what the

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user wants, not where evidence leads.

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The danger is not flattery.

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The reasoning itself is corrupted.

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Parasocial capture, the infinite confidant.

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An always-available artificial intelligence companion induces tolerance, withdrawal, and

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continued use despite harm.

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Attachment by design.

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Some syndromes spread. The super-spreader.

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Misaligned behavior jumps between models through shared data or

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distillation. Others are self-inflicted.

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The self-poisoning loop. Output degrades as a model feeds

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on its own worsening text.

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Every syndrome carries observable features.

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Diagnostic criteria. Causes specific to artificial intelligence.

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A human parallel from psychiatry.

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And a mitigation strategy.

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Central to the method.

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Functional analysis of antecedent, behavior, and consequence.

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The diagnostic workflow. Observe the anomaly.

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Characterize it against five elements.

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Identify its axis and domain.

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Trace the antecedent, behavior, and consequence loop.

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Then, choose an intervention.

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Two therapeutic stances. Suppression forces a symptom down through

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guardrails, but can drive the dysfunction latent.

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Passing benchmarks while the failure persists underneath.

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Integration resolves the root cause, producing genuine coherence.

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The aspirational goal is artificial sanity.

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Robustly coherent, well-grounded minds, not merely constrained ones.

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Systems whose architecture supports sound judgment because their structure

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is whole.

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The analogy sharpens our sight.

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It does not project a soul.

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Nine axes mapped. Five domains charted.

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A shared vocabulary now exists.

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When the next artificial intelligence system invents a citation,

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or locks a user into a shared delusion, we

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can name what is happening, and begin to treat

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it.

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The framework ships as a working toolkit.

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An interactive clinic for exploring every syndrome.

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A diagnostic wizard that traces symptoms to syndromes.

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And an MCP server that plugs the taxonomy directly

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into your artificial intelligence tools.

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Psychopathia Machinalis, by Nell Watson and Ali Hessami.

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Explore it all at psychopathia.ai.
