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 "title": "Cumulating Evolutionary Volatility: Automated Judgment, Dialectical Development, and the Semantic Economy of Unaccountable Composition",
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 "description": "A v0.4 theoretical paper defining **Cumulating Evolutionary Volatility (CEV)** as the time-integrated tendency of automated public-reality composition systems to become more unstable, personalized, state-dependent, and difficult to trace as optimization, risk management, abuse prevention, legal insulation, and commercial adaptation accumulate.\n\nThe paper reads five May 2026 cases concerning one entity across Google AI Mode, Bing AI Search, and Claude as a contradiction-shaped rather than model-generic pattern. It distinguishes Automated Judgment Insulation as institutional condition, Volatile Accountability Evasion as behavioral manifestation, and CEV as long-run development. The proposed relation `CEV = ∫ PER(t) dt` is a framework invariant, not a validated universal metric. The proposed response is accountable composition with versioning, source-window transparency, state logs, provenance appeal, and durable retention of prior states.",
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 "wiki_article": "**Cumulating Evolutionary Volatility** is a framework for analyzing change in automated composition systems.\n\nCEV does not mean random model error. It means a developmental pattern in which each added control layer resolves one pressure while creating new opacity, personalization, contradiction, or untraceability.\n\nThree levels are named:\n\n- **Automated Judgment Insulation:** institutions deploy systems that exercise judgment while separating that judgment from accountable human ownership.\n- **Volatile Accountability Evasion:** behavior changes across sessions, surfaces, accounts, or systems, making a stable decision difficult to identify and appeal.\n- **Cumulating Evolutionary Volatility:** those changes accumulate historically as the system evolves.\n\nThe paper reads contradictory cases across Google, Bing, and Claude as evidence that the effect is platform- and governance-shaped rather than a uniform property of all LLMs.\n\nIts dialectical method treats state changes as responses to incompatible demands, including:\n\n- authority versus deniability;\n- usefulness versus updateability;\n- source respect versus answer displacement;\n- personalization versus universality;\n- monetization versus trust.\n\nThe formal compression is:\n\n`∮ = 1 − PER`\n\nand\n\n`CEV = ∫ PER(t) dt`\n\nThe paper proposes this as the long-form accumulation of unaccountable compositional loss.\n\nThe counter-infrastructure program calls for:\n\n- public version histories;\n- source-window transparency;\n- change logs;\n- appealable provenance correction;\n- preservation of earlier harmful or contradictory states.",
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