Those claiming AI training on copyrighted works is “theft” misunderstand key aspects of copyright law and AI technology. Copyright protects specific expressions of ideas, not the ideas themselves. When AI systems ingest copyrighted works, they’re extracting general patterns and concepts - the “Bob Dylan-ness” or “Hemingway-ness” - not copying specific text or images.
This process is akin to how humans learn by reading widely and absorbing styles and techniques, rather than memorizing and reproducing exact passages. The AI discards the original text, keeping only abstract representations in “vector space”. When generating new content, the AI isn’t recreating copyrighted works, but producing new expressions inspired by the concepts it’s learned.
This is fundamentally different from copying a book or song. It’s more like the long-standing artistic tradition of being influenced by others’ work. The law has always recognized that ideas themselves can’t be owned - only particular expressions of them.
Moreover, there’s precedent for this kind of use being considered “transformative” and thus fair use. The Google Books project, which scanned millions of books to create a searchable index, was ruled legal despite protests from authors and publishers. AI training is arguably even more transformative.
While it’s understandable that creators feel uneasy about this new technology, labeling it “theft” is both legally and technically inaccurate. We may need new ways to support and compensate creators in the AI age, but that doesn’t make the current use of copyrighted works for AI training illegal or unethical.
For those interested, this argument is nicely laid out by Damien Riehl in FLOSS Weekly episode 744. https://twit.tv/shows/floss-weekly/episodes/744
If they can base their business on stealing, then we can steal their AI services, right?
Pirating isn’t stealing but yes the collective works of humanity should belong to humanity, not some slimy cabal of venture capitalists.
Also, ingredients to a recipe aren’t covered under copyright law.
ingredients to a recipe may well be subject to copyright, which is why food writers make sure their recipes are “unique” in some small way. Enough to make them different enough to avoid accusations of direct plagiarism.
E: removed unnecessary snark
In what country is that?
Under US law, you cannot copyright recipes. You can own a specific text in which you explain the recipe. But anyone can write down the same ingredients and instructions in a different way and own that text.
Keep in my that “ingredients to a recipe” here refers to the literal physical ingredients, based on the context of the OP (where a sandwich shop owner can’t afford to pay for their cheese).
While you can’t copyright a recipe, you can patent the ingredients themselves, especially if you had a hand in doing R&D to create it. See PepsiCo sues four Indian farmers for using its patented Lay’s potatoes.
No, you cannot patent an ingredient. What you can do - under Indian law - is get “protection” for a plant variety. In this case, a potato.
That law is called Protection of Plant Varieties and Farmers’ Rights Act, 2001. The farmer in this case being PepsiCo, which is how they successfully sued these 4 Indian farmers.
Farmers’ Rights for PepsiCo against farmers. Does that seem odd?
I’ve never met an intellectual property freak who didn’t lie through his teeth.
I think there is some confusion here between copyright and patent, similar in concept but legally exclusive. A person can copyright the order and selection of words used to express a recipe, but the recipe itself is not copy, it can however fall under patent law if proven to be unique enough, which is difficult to prove.
So you can technically own the patent to a recipe keeping other companies from selling the product of a recipe, however anyone can make the recipe themselves, if you can acquire it and not resell it. However that recipe can be expressed in many different ways, each having their own copyright.
Unlike regular piracy, accessing “their” product hosted on their servers using their power and compute is pretty clearly theft. Morally correct theft that I wholeheartedly support, but theft nonetheless.
Is that how this technology works? I’m not the most knowledgeable about tech stuff honestly (at least by Lemmy standards).
There’s self-hosted LLMs, (e.g. Ollama), but for the purposes of this conversation, yeah - they’re centrally hosted, compute intensive software services.
Yes, that’s exactly the point. It should belong to humanity, which means that anyone can use it to improve themselves. Or to create something nice for themselves or others. That’s exactly what AI companies are doing. And because it is not stealing, it is all still there for anyone else. Unless, of course, the copyrightists get there way.
How do you feel about Meta and Microsoft who do the same thing but publish their models open source for anyone to use?
Well how long to you think that’s going to last? They are for-profit companies after all.
I mean we’re having a discussion about what’s fair, my inherent implication is whether or not that would be a fair regulation to impose.
Those aren’t open source, neither by the OSI’s Open Source Definition nor by the OSI’s Open Source AI Definition.
The important part for the latter being a published listing of all the training data. (Trainers don’t have to provide the data, but they must provide at least a way to recreate the model given the same inputs).
Data information: Sufficiently detailed information about the data used to train the system, so that a skilled person can recreate a substantially equivalent system using the same or similar data. Data information shall be made available with licenses that comply with the Open Source Definition.
They are model-available if anything.
For the purposes of this conversation. That’s pretty much just a pedantic difference. They are paying to train those models and then providing them to the public to use completely freely in any way they want.
It would be like developing open source software and then not calling it open source because you didn’t publish the market research that guided your UX decisions.
You said open source. Open source is a type of licensure.
The entire point of licensure is legal pedantry.
And as far as your metaphor is concerned, pre-trained models are closer to pre-compiled binaries, which are expressly not considered Open Source according to the OSD.
You said open source. Open source is a type of licensure.
The entire point of licensure is legal pedantry.
No. Open source is a concept. That concept also has pedantic legal definitions, but the concept itself is not inherently pedantic.
And as far as your metaphor is concerned, pre-trained models are closer to pre-compiled binaries, which are expressly not considered Open Source according to the OSD.
No, they’re not. Which is why I didn’t use that metaphor.
A binary is explicitly a black box. There is nothing to learn from a binary, unless you explicitly decompile it back into source code.
In this case, literally all the source code is available. Any researcher can read through their model, learn from it, copy it, twist it, and build their own version of it wholesale. Not providing the training data, is more similar to saying that Yuzu or an emulator isn’t open source because it doesn’t provide copyrighted games. It is providing literally all of the parts of it that it can open source, and then letting the user feed it whatever training data they are allowed access to.
Tell me you’ve never compiled software from open source without saying you’ve never compiled software from open source.
The only differences between open source and freeware are pedantic, right guys?
Tell me you’ve never developed software without telling me you’ve never developed software.
A closed source binary that is copyrighted and illegal to use, is totally the same thing as a all the trained weights and underlying source code for a neural network published under the MIT license that anyone can learn from, copy, and use, however they want, right guys?
i feel like its less meaningful because we dont have access to the datasets.
Here’s an experiment for you to try at home. Ask an AI model a question, copy a sentence or two of what they give back, and paste it into a search engine. The results may surprise you.
And stop comparing AI to humans but then giving AI models more freedom. If I wrote a paper I’d need to cite my sources. Where the fuck are your sources ChatGPT? Oh right, we’re not allowed to see that but you can take whatever you want from us. Sounds fair.
Can you just give us the TLDE?
Not to fully argue against your point, but I do want to push back on the citations bit. Given the way an LLM is trained, it’s not really close to equivalent to me citing papers researched for a paper. That would be more akin to asking me to cite every piece of written or verbal media I’ve ever encountered as they all contributed in some small way to way that the words were formulated here.
Now, if specific data were injected into the prompt, or maybe if it was fine-tuned on a small subset of highly specific data, I would agree those should be cited as they are being accessed more verbatim. The whole “magic” of LLMs was that it needed to cross a threshold of data, combined with the attentional mechanism, and then the network was pretty suddenly able to maintain coherent sentences structure. It was only with loads of varied data from many different sources that this really emerged.
Did the experiment.
Zero shock factor. It showed an empty google search result. I have screenshots for the deniers. I don’t know what you think will happen, but unless you’re asking it some super vague question, where the answer would be unanimous across the board, it’s not going to spit out some shock factor quote that you can google. What a waste of an ‘experiment’.
Bro this was 6 months ago lol. Models have gotten way better since then. I made this comment when Google was still telling people to put glue on pizza. Which, if you did re-input the answer, would take you to a reddit post. Almost all of them would take you to a reddit post back then.
Thats insane it used to do that. Never seen it myself.
Microsoft’s Copilot funnily enough actually provides sources that it pulls from the internet if you ask it to.
It’s not a breach of copyright or other IP law not to cite sources on your paper.
Getting your paper rejected for lacking sources is also not infringing in your freedom. Being forced to pay damages and delete your paper from any public space would be infringement of your freedom.
I’m pretty sure that it’s true that citing sources isn’t really relevant to copyright violation, either you are violating or not. Saying where you copied from doesn’t change anything, but if you are using some ideas with your own analysis and words it isn’t a violation either way.
With music this often ends up in civil court. Pretty sure the same can in theory happen for written texts, but the commercial value of most written texts is not worth the cost of litigation.
I mean, you’re not necessarily wrong. But that doesn’t change the fact that it’s still stealing, which was my point. Just because laws haven’t caught up to it yet doesn’t make it any less of a shitty thing to do.
It’s not stealing, its not even ‘piracy’ which also is not stealing.
Copyright laws need to be scaled back, to not criminalize socially accepted behavior, not expand.
The original source material is still there. They just made a copy of it. If you think that’s stealing then online piracy is stealing as well.
Well they make a profit off of it, so yes. I have nothing against piracy, but if you’re reselling it that’s a different story.
But piracy saves you money which is effectively the same as making a profit. Also, it’s not just that they’re selling other people’s work for profit. You’re also paying for the insane amount of computing power it takes to train and run the AI plus salaries of the workers etc.
The whole point of copyright in the first place, is to encourage creative expression, so we can have human culture and shit.
The idea of a “teensy” exception so that we can “advance” into a dark age of creative pointlessness and regurgitated slop, where humans doing the fun part has been made “unnecessary” by the unstoppable progress of “thinking” machines, would be hilarious, if it weren’t depressing as fuck.
The whole point of copyright in the first place, is to encourage creative expression, so we can have human culture and shit.
I feel like that purpose has already been undermined by various changes to copyright law since its inception, such as DMCA and lengthening copyright term from 14 years to 95. Freedom to remix existing works is an important part of creative expression which current law stifles for any original work that releases in one person’s lifespan. (Even Disney knew this: the animated Pinocchio movie wouldn’t exist if copyright could last more than 56 years then)
Either way, giving bots the ‘right’ to remix things that were just made less than a year ago while depriving humans the right to release anything too similar to a 94 year old work seems ridiculous on both ends.
I’ll train my AI on just the bee movie. Then I’m going to ask it “can you make me a movie about bees”? When it spits the whole movie, I can just watch it or sell it or whatever, it was a creation of my AI, which learned just like any human would! Of course I didn’t even pay for the original copy to train my AI, it’s for learning purposes, and learning should be a basic human right!
In the meantime I’ll introduce myself into the servers of large corporations and read their emails, codebase, teams and strategic analysis, it’s just learning!
learning should be a basic human right!
Education is a basic human right (except maybe in Usa, then it should be one there)
Yeah. A human right.
I am thrilled to see the output you get!
The problem with your argument is that it is 100% possible to get ChatGPT to produce verbatim extracts of copyrighted works. This has been suppressed by OpenAI in a rather brute force kind of way, by prohibiting the prompts that have been found so far to do this (e.g. the infamous “poetry poetry poetry…” ad infinitum hack), but the possibility is still there, no matter how much they try to plaster over it. In fact there are some people, much smarter than me, who see technical similarities between compression technology and the process of training an LLM, calling it a “blurry JPEG of the Internet”… the point being, you wouldn’t allow distribution of a copyrighted book just because you compressed it in a ZIP file first.
The problem with your argument is that it is 100% possible to get ChatGPT to produce verbatim extracts of copyrighted works.
Exactly! This is the core of the argument The New York Times made against OpenAI. And I think they are right.
The examples they provided were for very widely distributed stories (i.e. present in the data set many times over). The prompts they used were not provided. How many times they had to prompt was not provided. Their results are very difficult to reproduce, if not impossible, especially on newer models.
I mean, sure, it happens. But it’s not a generalizable problem. You’re not going to get it to regurgitate your Lemmy comment, even if they’ve trained on it. You can’t just go and ask it to write Harry Potter and the goblet of fire for you. It’s not the intended purpose of this technology. I expect it’ll largely be a solved problem in 5-10 years, if not sooner.
I agree. You can’t just dismiss the problem saying it’s “just data represented in vector space” and on the other hand not be able properly censor the models and require AI safety research. If you don’t know exactly what’s going on inside, you also can’t claim that copyright is not being violated.
It honestly blows my mind that people look at a neutral network that’s even capable of recreating short works it was trained on without having access to that text during generation… and choose to focus on IP law.
Right! Like if we could honestly further enhance that feature its an incredible increase in compression tech!
The problem with your argument is that it is 100% possible to get ChatGPT to produce verbatim extracts of copyrighted works.
What method still works? I’d like to try it.
I have access to ChatGPT 4, and the latest Anthropic model.
Edit: hm… no answers but downvotes. I wonder why that is.
This would be a good point, if this is what the explicit purpose of the AI was. Which it isn’t. It can quote certain information verbatim despite not containing that data verbatim, through the process of learning, for the same reason we can.
I can ask you to quote famous lines from books all day as well. That doesn’t mean that you knowing those lines means you infringed on copyright. Now, if you were to put those to paper and sell them, you might get a cease and desist or a lawsuit. Therein lies the difference. Your goal would be explicitly to infringe on the specific expression of those words. Any human that would explicitly try to get an AI to produce infringing material… would be infringing. And unknowing infringement… well there are countless court cases where both sides think they did nothing wrong.
You don’t even need AI for that, if you followed the Infinite Monkey Theorem and just happened to stumble upon a work falling under copyright, you still could not sell it even if it was produced by a purely random process.
Another great example is the Mona Lisa. Most people know what it looks like and if they had sufficient talent could mimic it 1:1. However, there are numerous adaptations of the Mona Lisa that are not infringing (by today’s standards), because they transform the work to the point where it’s no longer the original expression, but a re-expression of the same idea. Anything less than that is pretty much completely safe infringement wise.
You’re right though that OpenAI tries to cover their ass by implementing safeguards. Which is to be expected because it’s a legal argument in court that once they became aware of situations they have to take steps to limit harm. They can indeed not prevent it completely, but it’s the effort that counts. Practically none of that kind of moderation is 100% effective. Otherwise we’d live in a pretty good world.
Y’all should really stop expecting people to buy into the analogy between human learning and machine learning i.e. “humans do it, so it’s okay if a computer does it too”. First of all there are vast differences between how humans learn and how machines “learn”, and second, it doesn’t matter anyway because there is lots of legal/moral precedent for not assigning the same rights to machines that are normally assigned to humans (for example, no intellectual property right has been granted to any synthetic media yet that I’m aware of).
That said, I agree that “the model contains a copy of the training data” is not a very good critique–a much stronger one would be to simply note all of the works with a Creative Commons “No Derivatives” license in the training data, since it is hard to argue that the model checkpoint isn’t derived from the training data.
a much stronger one would be to simply note all of the works with a Creative Commons “No Derivatives” license in the training data, since it is hard to argue that the model checkpoint isn’t derived from the training data.
Not really. First of all, creative commons strictly loosens the copyright restrictions on a work. The strongest license is actually no explicit license i.e. “All Rights Reserved.” No derivatives is already included under full, default, copyright.
Second, derivative has a pretty strict legal definition. It’s not enough to say that the derived work was created using a protected work, or even that the derived work couldn’t exist without the protected work. Some examples: create a word cloud of your favorite book, analyze the tone of news article to help you trade stocks, produce an image containing the most prominent color in every frame of a movie, or create a search index of the words found on all websites on the internet. All of that is absolutely allowed under even the strictest of copyright protections.
Statistical analysis of copyrighted materials, as in training AI, easily clears that same bar.
Equating LLMs with compression doesn’t make sense. Model sizes are larger than their training sets. if it requires “hacking” to extract text of sufficient length to break copyright, and the platform is doing everything they can to prevent it, that just makes them like every platform. I can download © material from YouTube (or wherever) all day long.
Model sizes are larger than their training sets
Excuse me, what? You think Huggingface is hosting 100’s of checkpoints each of which are multiples of their training data, which is on the order of terabytes or petabytes in disk space? I don’t know if I agree with the compression argument, myself, but for other reasons–your retort is objectively false.
Just taking GPT 3 as an example, its training set was 45 terabytes, yes. But that set was filtered and processed down to about 570 GB. GPT 3 was only actually trained on that 570 GB. The model itself is about 700 GB. Much of the generalized intelligence of an LLM comes from abstraction to other contexts.
Table 2.2 shows the final mixture of datasets that we used in training. The CommonCrawl data was downloaded from 41 shards of monthly CommonCrawl covering 2016 to 2019, constituting 45TB of compressed plaintext before filtering and 570GB after filtering, roughly equivalent to 400 billion byte-pair-encoded tokens. Language Models are Few-Shot Learners
*Did some more looking, and that model size estimate assumes 32 bit float. It’s actually 16 bit, so the model size is 350GB… technically some compression after all!
The issue isn’t that you can coax AI into giving away unaltered copyrighted books out of their trunk, the issue is that if you were to open the hood, you’d see that the entire engine is made of unaltered copyrighted books.
All those “anti hacking” measures are just there to obfuscate the fact that that the unaltered works are being in use and recallable at all times.
This is an inaccurate understanding of what’s going on. Under the hood is a neutral network with weights and biases, not a database of copyrighted work. That neutral network was trained on a HEAVILY filtered training set (as mentioned above, 45 terabytes was reduced to 570 GB for GPT3). Getting it to bug out and generate full sections of training data from its neutral network is a fun parlor trick, but you’re not going to use it to pirate a book. People do that the old fashioned way by just adding type:pdf to their common web search.
Again: nobody is complaining that you can make AI spit out their training data because AI is the only source of that training data. That is not the issue and nobody cares about AI as a delivery source of pirated material. The issue is that next to the transformed output, the not-transformed input is being in use in a commercial product.
The issue is that next to the transformed output, the not-transformed input is being in use in a commercial product.
Are you only talking about the word repetition glitch?
Look… All I have to say is… Support the Internet Archive!
(please)
Heh. Funny that this comment is uncontroversial. The Internet Archive supports Fair Use because, of course, it does.
This is from a position paper explicitly endorsed by the IA:
Based on well-established precedent, the ingestion of copyrighted works to create large language models or other AI training databases generally is a fair use.
By
- Library Copyright Alliance
- American Library Association
- Association of Research Libraries
Removed by mod
Disagree. These companies are exploiting an unfair power dynamic they created that people can’t say no to, to make an ungodly amount of money for themselves without compensating people whose data they took without telling them. They are not creating a cool creative project that collaboratively comments on or remixes what other people have made, they are seeking to gobble up and render irrelevant everything that they can, for short term greed. That’s not the scenario these laws were made for. AI hurts people who have already been exploited and industries that have already been decimated. Copyright laws were not written with this kind of thing in mind. There are potentially cool and ethical uses for AI models, but open ai and google are just greed machines.
Edited * THRICE because spelling. oof.
tweet is good, your body argument is completely wrong
Bullshit. AI are not human. We shouldn’t treat them as such. AI are not creative. They just regurgitate what they are trained on. We call what it does “learning”, but that doesn’t mean we should elevate what they do to be legally equal to human learning.
It’s this same kind of twisted logic that makes people think Corporations are People.
Ok, ignore this specific company and technology.
In the abstract, if you wanted to make artificial intelligence, how would you do it without using the training data that we humans use to train our own intelligence?
We learn by reading copyrighted material. Do we pay for it? Sometimes. Sometimes a teacher read it a while ago and then just regurgitated basically the same copyrighted information back to us in a slightly changed form.
We learn by reading copyrighted material.
We are human beings. The comparison is false on it’s face because what you all are calling AI isn’t in any conceivable way comparable to the complexity and versatility of a human mind, yet you continue to spit this lie out, over and over again, trying to play it up like it’s Data from Star Trek.
This model isn’t “learning” anything in any way that is even remotely like how humans learn. You are deliberately simplifying the complexity of the human brain to make that comparison.
Moreover, human beings make their own choices, they aren’t actual tools.
They pointed a tool at copyrighted works and told it to copy, do some math, and regurgitate it. What the AI “does” is not relevant, what the people that programmed it told it to do with that copyrighted information is what matters.
There is no intelligence here except theirs. There is no intent here except theirs.
We are human beings. The comparison is false on it’s face because what you all are calling AI isn’t in any conceivable way comparable to the complexity and versatility of a human mind, yet you continue to spit this lie out, over and over again, trying to play it up like it’s Data from Star Trek.
If you fundamentally do not think that artificial intelligences can be created, the onus is on yo uto explain why it’s impossible to replicate the circuitry of our brains. Everything in science we’ve seen this far has shown that we are merely physical beings that can be recreated physically.
Otherwise, I asked you to examine a thought experiment where you are trying to build an artificial intelligence, not necessarily an LLM.
This model isn’t “learning” anything in any way that is even remotely like how humans learn. You are deliberately simplifying the complexity of the human brain to make that comparison.
Or you are over complicating yourself to seem more important and special. Definitely no way that most people would be biased towards that, is there?
Moreover, human beings make their own choices, they aren’t actual tools.
Oh please do go ahead and show us your proof that free will exists! Thank god you finally solved that one! I heard people were really stressing about it for a while!
They pointed a tool at copyrighted works and told it to copy, do some math, and regurgitate it. What the AI “does” is not relevant, what the people that programmed it told it to do with that copyrighted information is what matters.
“I don’t know how this works but it’s math and that scares me so I’ll minimize it!”
The things is, they can have scads of free stuff that is not copyrighted. But they are greedy and want copyrighted stuff, too
We all should. Copyright is fucking horseshit.
It costs literally nothing to make a digital copy of something. There is ZERO reason to restrict access to things.
You sound like someone who has not tried to make an artistic creation for profit.
You sound like someone unwilling to think about a better system.
Better system for WHOM? Tech-bros that want to steal my content as their own?
I’m a writer, performing artist, designer, and illustrator. I have thought about copyright quite a bit. I have released some of my stuff into the public domain, as well as the Creative Commons. If you want to use my work, you may - according to the licenses that I provide.
I also think copyright law is way out of whack. It should go back to - at most - life of author. This “life of author plus 95 years” is ridiculous. I lament that so much great work is being lost or forgotten because of the oppressive copyright laws - especially in the area of computer software.
But tech-bros that want my work to train their LLMs - they can fuck right off. There are legal thresholds that constitute “fair use” - Is it used for an academic purpose? Is it used for a non-profit use? Is the portion that is being used a small part or the whole thing? LLM software fail all of these tests.
They can slurp up the entirety of Wikipedia, and they do. But they are not satisfied with the free stuff. But they want my artistic creations, too, without asking. And they want to sell something based on my work, making money off of my work, without asking.
Better system for WHOM? Tech-bros that want to steal my content as their own?
A better system for EVERYONE. One where we all have access to all creative works, rather than spending billions on engineers nad lawyers to create walled gardens and DRM and artificial scarcity. What if literally all the money we spent on all of that instead went to artist royalties?
But tech-bros that want my work to train their LLMs - they can fuck right off. There are legal thresholds that constitute “fair use” - Is it used for an academic purpose? Is it used for a non-profit use? Is the portion that is being used a small part or the whole thing? LLM software fail all of these tests.
No. It doesn’t.
They can literally pass all of those tests.
You are confusing OpenAI keeping their LLM closed source and charging access to it, with LLMs in general. The open source models that Microsoft and Meta publish for instance, pass literally all of the criteria you just stated.
Making a copy is free. Making the original is not. I don’t expect a professional photographer to hand out their work for free because making copies of it costs nothing. You’re not paying for the copy, you’re paying for the money and effort needed to create the original.
Making a copy is free. Making the original is not.
Yes, exactly. Do you see how that is different from the world of physical objects and energy? That is not the case for a physical object. Even once you design something and build a factory to produce it, the first item off the line takes the same amount of resources as the last one.
Capitalism is based on the idea that things are scarce. If I have something, you can’t have it, and if you want it, then I have to give up my thing, so we end up trading. Information does not work that way. We can freely copy a piece of information as much as we want. Which is why monopolies and capitalism are a bad system of rewarding creators. They inherently cause us to impose scarcity where there is no need for it, because in capitalism things that are abundant do not have value. Capitalism fundamentally fails to function when there is abundance of resources, which is why copyright was a dumb system for the digital age. Rather than recognize that we now live in an age of information abundance, we spend billions of dollars trying to impose artificial scarcity.
And that’s all paid for. Think how much just the average high school graduate has has invested in them, ai companies want all that, but for free
It’s not though.
A huge amount of what you learn, someone else paid for, then they taught that knowledge to the next person, and so on. By the time you learned it, it had effectively been pirated and copied by human brains several times before it got to you.
Literally anything you learned from a Reddit comment or a Stack Overflow post for instance.
If only there was a profession that exchanges knowledge for money. Some one who “teaches.” I wonder who would pay them
Not even stealing cheese to run a sandwich shop.
Stealing cheese to melt it all together and run a cheese shop that undercuts the original cheese shops they stole from.
Though I am not a lawyer by training, I have been involved in such debates personally and professionally for many years. This post is unfortunately misguided. Copyright law makes concessions for education and creativity, including criticism and satire, because we recognize the value of such activities for human development. Debates over the excesses of copyright in the digital age were specifically about humans finding the application of copyright to the internet and all things digital too restrictive for their educational, creative, and yes, also their entertainment needs. So any anti-copyright arguments back then were in the spirit specifically of protecting the average person and public-interest non-profit institutions, such as digital archives and libraries, from big copyright owners who would sue and lobby for total control over every file in their catalogue, sometimes in the process severely limiting human potential.
AI’s ingesting of text and other formats is “learning” in name only, a term borrowed by computer scientists to describe a purely computational process. It does not hold the same value socially or morally as the learning that humans require to function and progress individually and collectively.
AI is not a person (unless we get definitive proof of a conscious AI, or are willing to grant every implementation of a statistical model personhood). Also AI it is not vital to human development and as such one could argue does not need special protections or special treatment to flourish. AI is a product, even more clearly so when it is proprietary and sold as a service.
Unlike past debates over copyright, this is not about protecting the little guy or organizations with a social mission from big corporate interests. It is the opposite. It is about big corporate interests turning human knowledge and creativity into a product they can then use to sell services to - and often to replace in their jobs - the very humans whose content they have ingested.
See, the tables are now turned and it is time to realize that copyright law, for all its faults, has never been only or primarily about protecting large copyright holders. It is also about protecting your average Joe from unauthorized uses of their work. More specifically uses that may cause damage, to the copyright owner or society at large. While a very imperfect mechanism, it is there for a reason, and its application need not be the end of AI. There’s a mechanism for individual copyright owners to grant rights to specific uses: it’s called licensing and should be mandatory in my view for the development of proprietary LLMs at least.
TL;DR: AI is not human, it is a product, one that may augment some tasks productively, but is also often aimed at replacing humans in their jobs - this makes all the difference in how we should balance rights and protections in law.
AI are people, my friend. /s
But, really, I think people should be able to run algorithms on whatever data they want. It’s whether the output is sufficiently different or “transformative” that matters (and other laws like using people’s likeness). Otherwise, I think the laws will get complex and nonsensical once you start adding special cases for “AI.” And I’d bet if new laws are written, they’d be written by lobbiests to further erode the threat of competition (from free software, for instance).
Considering that original works are discarded, it’s strange how effective they’re at plagiarizing them
In the same way that a person can learn the material and also use that knowledge to potentially plagiarize it, though. It’s no different in that sense. What is different is the speed of learning and both the speed and capacity of recall. However, it doesn’t change the fundamental truths of OP’s explanation.
Also, when you’re talking specifically about music, you’re talking about a very limited subset of note combinations that will sound pleasing to human ears. Additionally, even human composers commonly struggle to not simply accidentally reproduce others’ work, which is partly why the music industry is filled with constant copyright litigation.
I mean saying they learn is huge kudos to the people that made this tbh
Yep, its definitely not possible that nice small businesses like universal and sony would sue without an actual case in order to try and crush competitors with costs.
You know, those obsessed with pushing AI would do a lot better if they dropped the patronizing tone in every single one of their comments defending them.
It’s always fun reading “but you just don’t understand”.
As others have said, it isn’t inspired always, sometimes it literally just copies stuff.
This feels like it was written by someone who invested their money in AI companies because they’re worried about their stocks
Sometimes I’ve noticed Google’s AI overview is a nearly word for word copy of the highest reddit result, or any result.
It dosen’t copy, it’s abstract them into math, find relationships between them and the came back.
It’s not the same at what humans do, but is not just copying neither.
It’s pretty much copying lol. It has no idea about patents, or unique ideas. It basically just takes every unique idea and pretends it invented them because it doesn’t understand
And that’s the problem
It’s basically just something that tries to take credit for everything.
That same description applies to downloading a zipped file.
Lol
I think you may have a much more generous understanding of the current capabilities of AI than what it’s actually capable of. It isn’t Data from Star Trek.
Pretty much. It’s just weird this whole thread Feels like it was written by a marketing person.
Developers used to get hounded for blockchain by sales people.
Now the same people have moved to AI. Companies love it mainly because they can steal work, summarise it a bit, and profit. Some things were literally tracked down to specific web pages as the source
It’s asinine to compare AI with block chain. Block chain uses are very limited while my own 60 year old mother uses AI in her work. It depends on your work but there’s immense use cases for AIs, and most people that use it regularly can attest it’s a huge productivity boost even if it isn’t perfect and it has to be verified.
I also suggest you look up copyright laws. It’s clearly transformative. If collage is legal, how can AI not be?
Not to mention that we use AI already everyday. Any app that identifies songs, plants or insects uses AI. So does Google translate or your autocorrect on your phone (I’m not entirely certain about the second one).
If our government won’t force these companies to copyleft the models, the least they could do is not create a walled garden where only Microsoft and Google can afford to train models, something you are advocating without realizing. You are essentially being a mouthpiece for big AI companies and big data companies who are trying to shoot open source in the foot.
Individuals aren’t getting a dime, this is about if we can run these models on our PC or only through their subscription service.
This isn’t college.
And that’s not how AI works.
AI literally just copies bits of lots of sources and cobbles it together.
It has no idea what any of it means. We learn via experience. AI models won’t
If I write a reference book, I need to reference my source if I’m quoting things. Even if I saw it in 2 different books .
AI does not
Question… if there is only 1 source of information on a topic, and AI needs to reference it, what happens? It basically just copies it and changes a few words. No reference to the original author. It doesn’t even know.
If I read a book into a podcast and change a few words, take credit and don’t give any to the original author is that ok?
It’s not AI. That’s a marketing term like blockchain. Its just a combined data scraper with some random data.
I know how AI works. I was using collage to show that it’s much less transformative than AI while still being accepted.
It also doesn’t copy bits. It has an internal network of bits and it shifts their weight with each images. It’s learning from the images akin to how a human would, not copying. This is far from a perfect analogy, there’s a mountain that separates a human brain from a neural network, it’s just that both processes would be copying under your definition.
If I write a reference book, I need to reference my source if I’m quoting things. Even if I saw it in 2 different books .
This is a tool to help and guide. In terms of LLMs, trying to get references out of it is just a terrible use case. It’s suppose to be verified at all times and clearly should never be itself quoted.
For images, this is like expecting each artists to reference what influenced them. Having unrealistic thoroughly invented expectations doesn’t mean the tech is failing or bad.
This kind of attitude has some weird “everything has to be true on the internet” vibe. I wouldn’t expect actual truth and references from reddit posts, I don’t understand why people expect it from a guided rng machine.
If I read a book into a podcast and change a few words, take credit and don’t give any to the original author is that ok?
If you read a hundred books and then built a podcast episode on what you learned from all those book, that would be okay and is a lot closer to what llms are doing.
Its just a combined data scraper with some random data.
That’s what AI is. 98% of machine learning is scrapping data and training models on it.
