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this post was submitted on 22 Aug 2023
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It would create incredible legal liability for the company. If the authors and publishing studios caught wind of that, the AI companies would be sued into oblivion. Think about how intense media companies get about pirating when it's just for pleasure or entertainment -- if you're using it to turn a profit, you're legally fucked.
Having no chain of custody for knowing what the AI was trained on sounds like typical cost cutting, until you realize this means they can't detect or identify another AI's output. They'll quickly become garbage model.
Well obviously it's a massive legal liability. However... seemingly legitimate serious companies with large legal departments have been known to do legally dangerous things before. Apple deliberately sabotaged old iPhones by sending updates to drain battery - encouraging people to get new phones. Volkswagen faked their emissions tests (if I remember correctly, people went to prison and Apple had to pay out fines). I don't put it past OpenAI to be doing illegal things for short term benefit to their long term detriment.
Not saying it's happening, but I'm saying it's possible and it's hard for me or you to prove that it's happening.
I'm sure they have good internal controls for what goes in the model. I'm guessing the information is very tightly controlled, for above reasons. I'm not sure what you mean by another AI's output though.
I think they probably have criteria for what's used to train it, but they don't keep a list of what material was used. I believe they've said in the past they don't have that information.
For another AI -- these models fall apart when they're trained on AI generated content, after a few generations. If they have no way of discerning if content is AI generated or not, they're going to have a ticking time bomb. At some point the models will heavily degrade in quality because of it. The question I guess is what % of training material can be AI generated before it causes problems.
This does mean however that AI generated material can never become a substantial % of all the content out there. Whenever there's too much, the algorithms will fall apart, and probably not recover until that content falls below a certain % again.
I will look into this. I feel like that's quite an oversight. Perhaps it's easier to just tell the public otherwise because of the legal questions like we are discussing. I would have kept everything in storage so we can re-train updated models or what have you with the same data.
I think it's an interesting thing you bring up. There will be a sort of distinction in the corpus of human works. Pre ~2023 and Post ~2023. All work before that time will more or less be legitimate and you can use it for training data. Afterwards it will all be tainted.
Honestly the implications go further than that. For one, I don't trust that there is a human behind any comment I see online anymore. Especially in topics and areas that I feel are likely to be astroturfed - like politics.
Very possible. I think they don't want to keep things in storage because then they indisputably need to pay for it.
Agreed on the human element too. The Reddit protests were eye opening for me because of the supposed "pro Reddit/anti mod" crowd that showed up as a vocal minority. They popped out of nowhere, and in some cases they were verified as AI bots.