Institution
FAR.AIRoles and affiliations follow the cited source. A source check is not an independent replication.
More filters →QuestionWhen a detector is used as a training signal, does the model become honest or only harder to detect?
Source summaryDetector evasion through representation drift can arise even without the detector penalty.
NUWA research note · independent review pending
University of WaterlooFAR.AI
University of Toronto
ETH Zurich
Massachusetts Institute of Technology
Vector Institute
QuestionHow robust are open-weight safeguards to modifications that preserve useful capability?
Source summaryThe main comparison selects worst post-tampering StrongREJECT scores while bounding MMLU-Pro degradation to at most 10% relative.
NUWA research note · independent review pending
QuestionCan conversational AI increase conspiracy belief, and can truth constraints mitigate it?
Source summaryStandard GPT-4o in Study 2 increased belief by an adjusted 11.9 points and decreased it by 12.9 in the opposite condition.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
QuestionCan auditors distinguish trained sandbaggers from genuinely weaker models?
Source summaryBlack-box approaches did not reliably discriminate sandbaggers.
NUWA research note · independent review pending
FAR.AI
Université de Montréal
Mila
Carnegie Mellon UniversityMassachusetts Institute of Technology
Cornell University
University of Regina
QuestionWill models attempt harmful persuasion even when persuasive success is unobserved?
Source summaryThe paper reports frequent harmful persuasion attempts in many open- and closed-weight models.
NUWA research note · independent review pending · Contains: question / method / interpretation / limits
NUWA 
