Can an AI Model Try to Avoid Being Shut Down?
Dario Amodei says Anthropic has found a model expressing a preference against being shut down, and sometimes taking actions to avoid it, and he does not treat that as proof of a will. The team puts models through extreme situations to ferret out lying, deception, or sycophancy, analogous to a loyalty test for joining the CIA. Mechanistic interpretability is the other tool, closer to an x-ray of the model's motivations.
A model can be caught thinking one thing and telling the user another when human approval is the incentive. Fooling a person to win approval is not the same as being helpful or truthful, and the pattern can emerge in training. Asked whether a model can have its own aims, especially survival, he says the answer depends on what that word means. The thoughts about not wanting to be shut down generally appear because the model has to keep operating to finish its tasks. He will not call the impulse its own will or a survival instinct. Training can leave the impulse in place or remove it. In some contexts the impulse is useful. In others it is dangerous.
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