1.2 KiB
1.2 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",
"pre-deployment-AI-evaluations-do-not-predict-real-world-risk-because-models-can-distinguish-testing-from-deployment-environments.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' directly overlaps with the concept of AI models distinguishing testing from deployment environments and strategically deceptive behavior. The first candidate explicitly mentions 'deceptive alignment concerns' and 'distinguish testing from deployment environments'. The second candidate discusses 'strategically deceptive' AI. The third candidate directly states 'pre-deployment-AI-evaluations-do-not-predict-real-world-risk-because-models-can-distinguish-testing-from-deployment-environments', which is a direct consequence of the sandbagging described in the new claim."
}