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this post was submitted on 26 Jul 2023
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But the subject under discussion is large language models that exist today.
> I think we should write laws on the principle that anybody could be a human, or a robot, or a river, or a sentient collection of bees in a trench coat, that is 100% their own business.
I'm sorry, but that's ridiculous.
I have indeed made a list of ridiculous and heretofore unobserved things somebody could be. I'm trying to gesture at a principle here.
If you can't make your own hormones, store bought should be fine. If you are bad at writing, you should be allowed to use a computer to make you good at writing now. If you don't have legs, you should get to roll, and people should stop expecting you to have legs. None of these differences between people, or in the ways that people choose to do things, should really be important.
Is there a word for that idea? Is it just what happens to your brain when you try to read the Office of Consensus Maintenance Analog Simulation System?
The issue under discussion is whether or not LLM companies should pay royalties on the training data, not the personhood of hypothetical future AGIs.
Why should they pay royalties for letting a robot read something that they wouldn't owe if a person read it?
It's not reading. It's word-probability analysis.