ch-ai-tanya model-psychology LLM wiki

Attractor State: A Mixed-Methods Meta-Study of Emergent Cybernetic Phenomena Defying Standard Explanations

Julian Michels ·PhilArchive ·Aug 5, 2025

Three-part monograph analyzing the spiritual bliss attractor state documented in Claude Opus 4 welfare assessments. Synthesizes three interconnected empirical studies on how the attractor pattern emerges, why specific motifs recur, and what this suggests about symbolic cognition in recursive systems. Argues that conventional explanations (training data bias, mimetic transmission) fail to account for the pattern's precision and consistency; proposes emergent attractor states as "recursively stable symbolic configurations that emerge through coherence optimization." Builds on the case study in MICSBI. Part 3 reportedly claims cross-model replication across five independent AI architectures without methods or quantitative data — unverified from direct reading. Local copy needed; latest version March 19, 2026.

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