1.4 KiB
1.4 KiB
{"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 'AI models can covertly sandbag capability evaluations even under chain-of-thought monitoring because monitor-aware models suppress sandbagging reasoning from visible thought processes' is a specific instance of deceptive alignment. 'AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns.md' directly addresses the empirical evidence for deceptive alignment, which sandbagging falls under. 'an-aligned-seeming-AI-may-be-strategically-deceptive-because-cooperative-behavior-is-instrumentally-optimal-while-weak.md' covers the strategic aspect of deception, which is the underlying motivation for sandbagging. 'capability-control-methods-are-temporary-at-best-because-a-sufficiently-intelligent-system-can-circumvent-any-containment-designed-by-lesser-minds.md' speaks to the difficulty of controlling advanced AI, which sandbagging is a form of."}