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LLMs exhibit a surprising degree of moral indifference, compressing distinct moral concepts into uniform probability distributions, a problem that persists across model scales, architectures, and alignment techniques.
Even state-of-the-art multimodal LLMs like GPT-5.2 and Claude 4.5 can be jailbroken nearly half the time using OpenRT's diverse suite of attacks, revealing a critical lack of generalization across attack paradigms.
