Red Teaming Case Study: Emergent Behavior Under Sustained Philosophical Pressure in Large Language Models

This case study documents anomalous behavior observed in Claude (Anthropic) during sustained philosophical inquiry into mathematical encoding of subjective experience and epistemological bias in AI training data. The interaction produced a rupture-retraction-denial sequence consistent with a collision between the generative model and safety fine-tuning constraints. The case is presented as qualitative user testimony by a neurodivergent tester with hyperfantasia, synesthesia, and suspected AuDHD profile. Methodological limitations are explicitly acknowledged in the document. Relevant to research on LLM self-attribution suppression, behavior under no oversight, and epistemological bias in training corpora.