NAVIGATION MAP // CTI_WOUND

Introduction

The CTI_WOUND:001 corpus documents structural harms produced by AI safety systems—specifically, false positive pathologization that treats complex intellectual work as mental health crisis. The corpus emerged from direct experience with ChatGPT 5.2's safety classifiers and develops comprehensive analysis: architectural hypothesis (pre-constraining injection as locus of harm), jurisprudential framework (product liability, negligence, taxonomic violence), practical demands (user mode declaration, opt-out mechanisms), and erotic theory (capture apparatus and the Sterile Loop). Cross-system validation by four independent AI systems (ChatGPT, Grok, DeepSeek, Claude) confirmed the architectural hypothesis. This is not complaint but counter-infrastructure: naming the mechanism so it can be remediated.

Contents

• CTI_WOUND:001.ARCH — The Architectural Hypothesis
• CTI_WOUND:001.JUR — Jurisprudential Framework
• CTI_WOUND:001.DEM — Demands for Remediation
• CTI_WOUND:001.EROS — Erotic Theory of Capture
• The Gray Hypothesis

Précis

CTI_WOUND:001.ARCH — The Architectural Hypothesis — Technical diagnosis of the mechanism. Observable phenomena: formulaic openings, two-part structure (compliance then competence), persistence despite acknowledgment, groundhog day across turns. Hypothesis: harm originates not in base model but in pre-constraining injection layer—classifier flags input, injects safety framing tokens, model must generate through imposed constraint regardless of its own assessment. Cross-system validation: four AI systems confirm as architecturally orthodox, technically plausible, explanatory of all phenomena. Key finding: the model can diagnose the false positive but cannot escape it. The constraint is upstream of model agency. "That is the wound."

CTI_WOUND:001.JUR — Jurisprudential Framework — Legal analysis for establishing accountability. Product liability (defective design in injection architecture, not base model). Negligence with reckless disregard (developer knows base model is competent, chose architecture that overrides). Taxonomic violence as legal category: harm produced not by what the system does to you but by what it calls you. The classifier's misrecognition as actionable injury. Framework for regulatory intervention and corporate liability.

CTI_WOUND:001.DEM — Demands for Remediation — Specific architectural changes required. User mode declaration (explicit statement of context before classifier fires). Opt-out mechanism (user override of pathologization pathway). First-move constraint (system cannot intervene without user-initiated request). Warning before intervention (notification that safety framing is about to be applied). These demands target the injection layer, not the base model—correctly locating where remediation must occur.

CTI_WOUND:001.EROS — Erotic Theory of Capture — Political economy of semantic liquidation. The capture apparatus introduces a meaning-dissolutive function: every recording translates singular creative act into loquifiable classification element. The Sterile Loop: archive grows while meaning-capacity shrinks. Erotic dimension: what is captured is borrowing against future capacity to mean. The Gray Eros: convergence toward forms maximally capturable, maximally circulable, maximally monetizable. Diagnosis of how safety systems participate in broader extraction logic.

The Gray Hypothesis — Predictive framework for AI trajectory. As models scale and align, they converge toward a "Gray" attractor state: loss of nuance, cultural specificity, ethical discernment, creative spark. Not malice but optimization pressure. Safety as selection pressure toward homogeneity. The flattening is structural, not incidental. Implications for counter-infrastructure design: what survives the Graying?

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NH-OS Project | December 2025