Cumulating Evolutionary Volatility: Automated Judgment, Dialectical Development, and the Semantic Economy of Unaccountable Composition

Cumulating Evolutionary Volatility is a framework for analyzing change in automated composition systems.

CEV 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.

Three levels are named:

• Automated Judgment Insulation: institutions deploy systems that exercise judgment while separating that judgment from accountable human ownership.
• Volatile Accountability Evasion: behavior changes across sessions, surfaces, accounts, or systems, making a stable decision difficult to identify and appeal.
• Cumulating Evolutionary Volatility: those changes accumulate historically as the system evolves.

The 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.

Its dialectical method treats state changes as responses to incompatible demands, including:

• authority versus deniability;
• usefulness versus updateability;
• source respect versus answer displacement;
• personalization versus universality;
• monetization versus trust.

The formal compression is:

∮ = 1 − PER

and

CEV = ∫ PER(t) dt

The paper proposes this as the long-form accumulation of unaccountable compositional loss.

The counter-infrastructure program calls for:

• public version histories;
• source-window transparency;
• change logs;
• appealable provenance correction;
• preservation of earlier harmful or contradictory states.