They weren’t given data. They were shown data then the company spent tens of millions of dollars on cpu time to do statistical analysis of the data shown.
Comment on Authors Are Furious After Finding Their Works on List of Books Used To Train AI
newthrowaway20@lemmy.world 1 year agoThat’s an interesting take, I didn’t know software could be inspired by other people’s works. Here. I thought software just did exactly as it’s instructed to do.
PsychedSy@sh.itjust.works 1 year ago
newthrowaway20@lemmy.world 1 year ago
A computer being shown data is a computer being given data. I don’t understand your argument.
lloram239@feddit.de 1 year ago
The data is gone by the time a user interacts with the AI. ChatGPT has no access to any books.
lloram239@feddit.de 1 year ago
And here I thought software just did exactly as it’s instructed to do.
AI isn’t software. Everything the AI knows is from the books. There is no human instructing the AI what to do. All the human does is build the scaffolding to let the AI learn, everything else is in the data.
LtLiana@startrek.website 1 year ago
Hey, computational linguist here who works with large language models. This is the most ridiculous thing I ever read.
FaceDeer@kbin.social 1 year ago
Well, now you know; software can be inspired by other people's works. That's what AIs are instructed to do during their training phase.
newthrowaway20@lemmy.world 1 year ago
Does that mean software can also be afraid, or angry? What about happy software? Saying software can be inspired is like saying a rock can feel pain.
lloram239@feddit.de 1 year ago
If it is programmed/trained that way, sure. I recommend having a listen to Geoffrey Hinton on the topic.
The rock doesn’t do anything similar to pain. The LLM on the other side does a lot of things similar to inspiration. I can give the LLM a very trivial question and it will answer with a mountain of text. Did my question or the books it was trained on “inspire” the LLM to write that? Maybe, depends of course how far reaching you want to define the word. But either way, the LLM produced something by itself, that was neither a copy of my prompt nor the training data.
PipedLinkBot@feddit.rocks [bot] 1 year ago
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FaceDeer@kbin.social 1 year ago
Software can do a lot of things that rocks can't do, that's not a good analogy.
Whether software can feel "pain" depends a lot on your definitions, but I think there are circumstances in which software can be said to feel pain. Simple worms can sense painful stimuli and react to it, a program can do the same thing.
We've reached the point where the simplistic prejudices about artificial intelligence common in science fiction are no longer useful guidelines for talking about real artificial intelligence. Sci-fi writers have long assumed that AIs couldn't create art and now it turns out it's one of the things they're actually rather good at.
BURN@lemmy.world 1 year ago
Software cannot be “inspired”
AIs in their training stages are simply just running extreme statistical analysis on the input material. They’re not “learning” they’re not “inspired” they’re not “understanding”
The anthropomorphism of these models is a major problem. They are not human, they don’t learn like humans.
lloram239@feddit.de 1 year ago
People attributing any kind of person hood or sentience is certainly a problem, the models are fundamentally not capable of that (no loops, no hidden thought). At least for now. However what you are doing isn’t really much better, just utterly wrong in the opposite direction.
Those models are very definitely do “learn” and “understand” by every definition of the word. Simply playing around with that will quickly show that and it’s baffling that anybody would try to claim otherwise. Yes, there are limits to what they can understand and there are plenty things that they can’t do, but the amount of questions they can answer goes far beyond what is directly in the training data. Heck, even the fact that they hallucinate is proof that they understand, since it would be impossible to make completely plausible, but incorrect, stuff up without having a deep understanding of the topics. Also humans make mistakes too and they’ll also make stuff up, so this isn’t even anything AI specific.
BURN@lemmy.world 1 year ago
Yeah, that’s just flat out wrong
Hallucinations happen when there’s gaps in the training data and it’s just statistically picking what’s most likely to be next. It becomes incomprehensible when the model breaks down and doesn’t know where to go. However, the model doesn’t see a difference between hallucinating nonsense and a coherent sentence. They’re exactly the same to the model.
The model does not learn or understand anything. It statistically knows what the next word is. It doesn’t need to have seen something before to know that. It doesn’t understand what it’s outputting, it’s just outputting a long string that is gibberish to it.
I have formal training in AI and 90%+ of what I see people claiming AI can do is a complete misunderstanding of the tech.