claim
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claim:a5d4beaaa4464079LLM tangential speech or derailment formally resembles clinical formal thought disorder in schizophrenia.
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- Spans attention head decomposition, benchmark awareness, and genomic pathogenicity prediction via neural models.
- Theoretical and empirical analysis of why AR language models cannot maintain coherence or convergence beyond their context window through local interactions alone.
- Statistical physics arguments link LLMs' inability to maintain long-range coherence to schizophrenic derailment.
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- AI Phenomenology / First-Person Reportsaddresses_vector
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- 2026-05-14_phil-trans-A-goodfire-aboutblank-impact.mdextracted_from
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Analogy between LLM incoherence and schizophrenia symptoms
- Primary positive claim of the paper, grounded in strength comparison and localization results
- Can instruction-tuned LLMs perform quantitative introspection of emotive states in conversation?question0.758Central research question motivating the entire paper
- Central thesis statement of the paper
- The paper's claim that theoretical convergence across GWT, RPT, HOT, IIT makes the findings non-coincidental
- The hidden reasoning steps generated by recent LLMs before visible output; mentioned in the technology section.
- Qualified positive claim from spatio permutation analysis where two cases satisfy all three criteria.