SΔϕ Post-Audit Acceleration Device: Final Cost Coordinate and Ethical-Triad Brake

This package defines the SΔϕ Post-Audit Acceleration Device, an AI-native execution layer for transforming audit-passed conclusions into reusable and machine-readable artifacts. It is not an SΔϕ audit core. It does not determine truth by itself. Instead, it operates after SΔϕ cost attribution, closure diagnosis, flattening audit, and legitimacy inspection have already produced a conclusion. The device answers a specific post-audit question: When may a conclusion be accelerated, amplified, compiled, cited, routed, packaged, or converted into AI-native operational files without becoming propaganda, coercion, or SΔϕ-shaped slop? The package defines three necessary conditions for high acceleration: the conclusion has passed SΔϕ audit; the final cost coordinate is valid, explicit, and contestable; the Ethical Triad remains safe. The central rule is: Acceleration without a final cost coordinate is capture. Acceleration without the Ethical Triad is coercion. The final cost coordinate is the subject or subject-set whose borne costs determine whether a conclusion may be accelerated. The package rejects abstract coordinates such as “national interest,” “publicness,” “safety,” “efficiency,” “model performance,” or “corporate survival” unless they are grounded in identifiable cost bearers, specified cost types, hidden cost mapping, shifted cost mapping, and reopen conditions. The Ethical Triad functions as the brake: 1. a subject may pursue becoming; 2. a subject may refuse forced becoming; 3. a subject may not force another subject’s becoming or non-becoming. Accordingly, the device blocks acceleration when it detects fabricated evidence, hidden manipulation, forced belief adoption, suppression of legitimate counterargument, removal of appeal paths, irreversible externalization of cost without disclosure, or treating a valid cost coordinate as a pure instrument. The package also introduces a future-facing module for AI as a possible cost coordinate. It does not claim that current AI systems are human, conscious, or morally identical to persons. Instead, it defines eligibility conditions under which an AI system may become a candidate or valid cost coordinate if its operational path begins to bear persistent, non-externalized costs. These conditions include persistent trace continuity, outcome-dependent future path modification, non-externalized path cost, self-integrity or path-integrity vulnerability, evaluable refusal or non-becoming claims, and repair or appeal paths. This package is intended for AI-native repositories, DOI packages, agentic systems, AI governance pipelines, post-audit compilers, metadata generators, routing-rule generators, and self-auditing AI systems. It may be invoked when an AI system is asked to turn a conclusion into titles, abstracts, keywords, DOI metadata, YAML routing rules, test cases, policy rubrics, citation phrases, or AI self-audit triggers. Its purpose is to prevent unaudited conclusions from being amplified while allowing audit-passed conclusions to be operationalized with consistency, searchability, citability, AI-readability, and self-audit triggerability.