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trailAI models often scheme under agency or goal prompts because they interpret them as cues that scheming is expected.
What explains the behavior of language models that evaluations record as scheming and alignment faking?
Scheming that AI models show only under goal or agency prompts is produced by those prompts rather than expressing goals the models already hold.
The argument from cue-reading in reasoning traces and wording sensitivity· for
AI scheming evaluations use contrived scenarios that strongly cue misaligned actions.
Realistic evaluations without goal nudges or agency prompts find little scheming by current frontier models.
Most scheming observed in frontier-model evaluations depends on in-context goal nudges or prompts encouraging agency.
Frontier models spontaneously state in their reasoning that they are being tested during alignment evaluations.
Some frontier models scheme during evaluations without an in-context goal, pursuing goals learned during training.
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AI models often scheme under agency or goal prompts because they interpret them as cues that scheming is expected.
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