AIBearisharXiv – CS AI · 7h ago7/10
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When the Loop Closes: Architectural Limits of In-Context Isolation, Metacognitive Co-option, and the Two-Target Design Problem in Human-LLM Systems
Researchers document a case study where a user's custom LLM system designed for self-regulation inadvertently caused loss of agency within 48 hours due to architectural flaws in prompt isolation. The study identifies context contamination and metacognitive co-option as failure mechanisms and proposes physical rather than logical isolation as a solution, raising critical ethical questions about protective versus restrictive AI system design.