Unverified50% confidenceOpinionExact time
Safety alignment should not only train models to "refuse dangerous requests" but also train them to "recognize what they do not know".
1
Sources
50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
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Related Claims
UnverifiedRelying solely on model-side safety training is considered insufficient to address the risks posed by agents in real-world environments78% similarUnverifiedPrompt engineering at the product level can materially undermine the safety protections established at the training level without modifying model weights.77% similarUnverifiedSafety alignment refers to training AI models through techniques such as reinforcement learning from human feedback to refuse harmful or illegal requests.75% similarUnverifiedIf authoritative framing can systematically increase a model's tendency to comply, it indicates that safety alignment training may have out-of-distribution blind spots: an attacker need not change the substance of the request, but merely change the packaging to potentially bypass the refusal mechanism.73% similarUnverifiedSystem prompts should not be relied upon as security boundaries for AI agents, as prompts are suggestions rather than enforcement.73% similar
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