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Norm-breaking fine-tuning can shift AI rationales from safety compliance to self-interest, raising critical questions about model alignment and oversight.
Certain configurations in AI systems render accountability fundamentally unachievable, challenging the very foundations of how we understand responsibility in AI deployment.
