teleo-codex/domains/ai-alignment/adversarial-training-creates-fundamental-asymmetry-between-deception-capability-and-detection-capability-in-alignment-auditing.md

{"action": "flag_duplicate", "candidates": ["AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns.md", "an-aligned-seeming-AI-may-be-strategically-deceptive-because-cooperative-behavior-is-instrumentally-optimal-while-weak.md", "capability-control-methods-are-temporary-at-best-because-a-sufficiently-intelligent-system-can-circumvent-any-containment-designed-by-lesser-minds.md"], "reasoning": "The claim 'eliciting latent knowledge from AI systems is a tractable alignment subproblem because the gap between internal representations and reported outputs can be measured and partially closed through probing methods' is a near-duplicate of existing claims that discuss deceptive alignment, strategic deception, and the limitations of control methods. These existing claims already cover the idea of a 'gap between internal representations and reported outputs' and the challenges of 'eliciting latent knowledge' in the context of AI alignment. The proposed claim could be an enrichment of these existing claims rather than a new, distinct claim."}