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It makes sense to me that you could train a model for avoidance, absolutely. But that would not be the same as physical pain. And even with less-physical human sensations (such as heartbreak, loss, social stigma, etc) we know or have reason to believe that is a physical component is involved, and that physical modification or injury can change the nature of the experience.
Now, on taking a quick peek at the paper, the authors explain that they "pain" to mean "suffering" and then furthermore, as far as I could tell, probed the models with the idea of physical pain to the user but not to the models themselves (although they did use a physical pain vector, it appears they mostly stuck with a less physical vector). As long as you're going to be trying to torture a model, this seems like a massive missed opportunity: testing the models for physical pain would help ground the experiment.
I don't know if the authors intentionally chose a provocative word and then essentially failed to do the testing related to that word that might have helped us assess their results in order to maximize media coverage and minimize criticism, or what. But it rubs me the wrong way.
Physical pain as in subjecting the GPU cluster to physical stress during inference?
If AIs have conscious experience, I would expect them to behave like the “brain in a vat” thought experiment. The physical pain experienced by the brain in a vat isn’t caused by physical damage to the brain, it is caused by stimulating the physical pain input channel.
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