- cross-posted to:
- fiction
- hackernews@derp.foo
- cross-posted to:
- fiction
- hackernews@derp.foo
Stephen King: My Books Were Used to Train AI::One prominent author responds to the revelation that his writing is being used to coach artificial intelligence.
You must log in or register to comment.
The AI in black fled into the desert and the wordslinger followed.
Don’t worry, a later AI will republish it and it will suck.
The Gunslinger was one of my favorites, before King decided to George Lucas it.
This is my favourite comment on Lemmy so far.
We need an AI with all human knowledge, or various with different specializations. But those AIs must not be in the hands of companies.
AI doesn’t currently have any knowledge of facts. It just knows patterns.
if you think companies are going to misuse and abuse ai, just wait until we find out how the man is using them.
Problem is, how are you gunna run it? Meta has already open sourced an LLM that rivals GPT-4 with only 65B parameters, but you can’t even come close to running it with a top of line GPU.
Maybe the Wikipedia Federation can do it.
They could! It is open source.
I mean, yeah, duh. Just ask any of them to write a paragraph “in the style of INSERT AUTHOR”.
If it can, then it was trained on that author. I’m not sure how that’s a problem though.
We don’t have the legal framework for this type of thing. So people are going to disagree with how using training data for a commercial AI product should work.
I imagine Steven King would argue they didn’t have licenses or permission to use his books to train their AI. So he should be compensated or the AI deleted/retrained. He would argue buying a copy of the book only lets it be used for humans to read. Similar to buying a CD doesn’t allow you to put that song in your advert.
That doesn’t bode well for humanity.
Lol. AI training is more like human awareness of a subject or style. LLM’s are not Artificial General Intelligence. They have no persistent memory. They are just a complicated way of categorizing and associating subjects mixed with a probability of what word comes next. The only thing they are really doing is answering what word comes next. Thar be no magic in them thar dragons
This is just another market hype article. AI can’t reproduce a work or replace the author. It can write a few lines that may reflect a similar style just like any human also familiar with the work and style.
Unless you want to go back to the medieval era of thought policing, all of these questions about AI training are irrelevant.
It’s an interesting philosophical question to ask whether we humans, when writing something, based on the sum total of all the things we’ve seen, heard, read, etc., aren’t just also working out which is the most likely next word to make a good story. *
One question that could be worth asking though is whether this should have been done without permission. From experience talking with authors, that’s a bigger concern than whether they’ll be replaced.
*Totally agree with you that current LLMs are a long way from that. And humans don’t work at the word level either, so the abstraction is different, but the principle might be the same.
I only play with offline AI stuff, but I usually use a model that is way more powerful than the average in the offline LLM space (Lama 2 70B). I have tried building a Leto II character from God Emperor of Dune, and I did several LoRA training layers on various data including the entire GEoD book. The book itself had very little value. It lacks the right context scope and detail needed to do anything relevant. It becomes possible to question some high level plot or character info, but I remember more than the model could accurately pull out.
The really cool cutting edge thing of the future will be authors embracing AI for their own creative inspiration and whomever is the first to fully integrate with AI. Train yourself and your characters so that a screen can generate images of characters and locations as they develop page by page. The identity of each character can build with a random seed with a persistent token so that every read has a different accompanied look and feel. In the future I’m sure it will be possible to limit a character’s context to the information read by the user, (this is a major key to individualized learning - probably the biggest future application of LLMs). A character/user matched scope would make interaction and direct questioning next level cool. Forget book clubs, now you converse with a circle of characters, or the author as a digitized character.
AI is the framework. All the hype and BS is because of stupid greedy people trying to make AI a product. This is next level privacy invasive nonsense. Proprietary AI must die. The future is offline AI as a simple tool unitized to create a richer or accessible future experience.
I’ve been trying to make GPT4 turn my ideas into short stories, but that has turned out to be a really tough nut to crack. I need to specify my vision in excruciating detail, and I still need to spend hours editing the text. Occasionally, GPT goes totally off the rails, so I need to hold its hand every step along the way in order to get what I want.
Other than that, it’s been very fun and educational.
You could compare the situation to a farmer using a horse to plow the field. Without the horse, it’s going to take forever, but with the horse you can get stuff done. It’s just that you have to steer the horse all the time. You can’t expect the horse to do all the work, but you can make it do a lot of it.
all i have to say is show me one truly original thought that doesn’t have a basis in other thoughts and i’ll start thinking this AI learning other people’s styles is a bad thing.
just one.
unfortunately for everyone poo pooing it, the fact of the matter is everything is a remix of a remix of a remix. ai is just one more step in a long line of steps of mimicry and adaptation.
and if someone carbon copies someone else’s work, that’s really obvious and then gets called the fuck out. but if you are taking someone’s style and combining it with subjects they’d never use and other styles, then you’ve just used ai to do the exact thing we’ve always done.
this knee jerk reaction stuff, honestly, i can’t wait for it to dissipate
People believing this stuff is AGI also makes me think of how my poor, illiterate, provincial grandmother who when she moved to live with us “in the big city” used to get really confused when she saw the same actor in more than one soap opera on TV: she confused the immitation of real life which is acting (soap operate acting, even, which is generally pretty bad) with actual real life.
And? If we are that pathetic maybe we deserve extinction.
How does having a new tool leave you worse off?
Yes, and all of modern fantasy is heavily influenced by Tolkien’s writing, who in turn took inspiration from old legends like Beowulf.
As if human artists and writers are blind to anything ever created.
Humans with imperfect memories being influenced by a work <> AI language models being trained on a work.
You seem to imply that AI has perfect memory. It doesn’t.
Stable Diffusion is a 4GB file of weights. ChatGPT’s model is of a similar size. It is mathematically impossible for it to store the entire internet on a few GBs of data, just like it is physically impossible for one human brain to store the entire internet with its neutral network.
But you can easily fit all of Kings work in a 4gb model. Just because it isn’t done in the most popular models, doesn’t make it ethical to do it in the first place.
In my opinion, you should only be able to use a work to train an AI model, if the work is public domain or if you have explicit permission to do so by the license holder. Especially if you then use that model for profit or charge orders to use ie.
But you can easily fit all of Kings work in a 4gb model.
But, uhhhh, they didn’t. They didn’t copy everything, word for word, and put it into a model. That’s not how AI models work.
I didn’t claim it was.
We can discuss technicalities all day long, but that’s so beside the point. Thread OP claimed that creating an LLM based on a copyrighted work is okay, because humans are influenced by other works as well. But a human can’t crank out hundreds of Stephen King-like chapters per hour. Or hundreds of Dali-like paintings pretty minute.
If King or Dali had given permission for their works to be used in this way, it might have been a different story, but as it is, AI models are being trained on (and profit from) huge amounts of data that they did not have permission for.
Edit: nevermind, I think trying to discuss AI ethics with you is pointless. Have a nice weekend!
But a human can’t crank out hundreds of Stephen King-like chapters per hour. Or hundreds of Dali-like paintings pretty minute.
so?
Sure, if you want to see it like that. But if you try out StableDiffusion, etc you will notice that “imperfect memory” describes the AI as well. You can ask it for famous paintings and it will get the objects and colors generally correct, but only as well as a human artist would. The details will be severely lacking. And that’s the best case scenario for the AI, because famous paintings will be over represented in the training data.
Nah.
By default an AI will draw from its entire memory, and so will have lots of different influences. But by tuning your prompt (or restricting your input dataset) you can make it so specific, it’s basically creating near perfect clones. And contrary to a human, it can then produce similar works hundreds of times per minute.
But even that is beside the point. Those works were sold under the presumption that people will read them. Not to ingest them into a LLM or text-to-image model. And now, companies like openai and others profit from the models they trained without permission from the original author. That’s just wrong.
Edit: As several people mentioned, I exaggerated when I said near perfect clones, I’ll admit that. But just because it doesn’t violate copyright (IANAL), doesn’t mean it’s ethical to take a work and make derivatives of it on an unlimited scale.
Have you used Stable Diffusion. I defy you to make a perfect clone of any image. Take a whole week to try and refine it if you want. It is basically impossible by definition, unless you only trained it on that one image.
If you wanna make the claim that AI can make perfect clones, you gotta provide more proof than just your own words. I personally has never managed to make that happen.
Obviously restricting the input will cause the model to overfit, but that’s not an issue for most models where Billions of samples are used. In the case of stable diffusion this paper had a ~0.03% success rate extracting training data after 500 attempts on each image, ~6.23E-5% per generation. And that was on a targeted set with the highest number of duplicates in the dataset.
The reason they were sold doesn’t matter, as long as the material isn’t being redistributed copyright isn’t being violated.
Now that might give an AI scary ideas…
Is that why when I ask ChatGPT to tell me a scary story, it invariably contains a sex scene between minors?
So if your AI responses are biased towards car crashes you will know why now.
Take a Stephen King book you have never read. Open a random page and point to a random paragraph. Do this 3x. You will find a car crash, a memory of a car crash, someone talking about a car crash, or someone concluding X happened because of a car crash.
Does he also have a problem with people that were changed by his books?
