OpenAI now tries to hide that ChatGPT was trained on copyrighted books, including J.K. Rowling’s Harry Potter series::A new research paper laid out ways in which AI developers should try and avoid showing LLMs have been trained on copyrighted material.
Its a bit pedantic, but I’m not really sure I support this kind of extremist view of copyright and the scale of whats being interpreted as ‘possessed’ under the idea of copyright. Once an idea is communicated, it becomes a part of the collective consciousness. Different people interpret and build upon that idea in various ways, making it a dynamic entity that evolves beyond the original creator’s intention. Its like issues with sampling beats or records in the early days of hiphop. Its like the very principal of an idea goes against this vision, more that, once you put something out into the commons, its irretrievable. Its not really yours any more once its been communicated. I think if you want to keep an idea truly yours, then you should keep it to yourself. Otherwise you are participating in a shared vision of the idea. You don’t control how the idea is interpreted so its not really yours any more.
If thats ChatGPT or Public Enemy is neither here nor there to me. The idea that a work like Peter Pan is still possessed is such a very real but very silly obvious malady of this weirdly accepted but very extreme view of the ability to possess an idea.
Ai isn’t interpreting anything. This isn’t the sci-fi style of ai that people think of, that’s general ai. This is narrow AI, which is really just an advanced algorithm. It can’t create new things with intent and design, it can only regurgitate a mix of pre-existing stuff based on narrow guidelines programmed into it to try and keep it coherent, with no actual thought or interpretation involved in the result. The issue isn’t that it’s derivative, the issue is that it can only ever be inherently derivative without any intentional interpretation or creativity, and nothing else.
Even collage art has to qualify as fair use to avoid copyright infringement if it’s being done for profit, and fair use requires it to provide commentary, criticism, or parody of the original work used (which requires intent). Even if it’s transformative enough to make the original unrecognizable, if the majority of the work is not your own art, then you need to get permission to use it otherwise you aren’t automatically safe from getting in trouble over copyright. Even using images for photoshop involves creative commons and commercial use licenses. Fanart and fanfic is also considered a grey area and the only reason more of a stink isn’t kicked up over it regarding copyright is because it’s generally beneficial to the original creators, and credit is naturally provided by the nature of fan works so long as someone doesn’t try to claim the characters or IP as their own. So most creators turn a blind eye to the copyright aspect of the genre, but if any ever did want to kick up a stink, they could, and have in the past like with Anne Rice. And as a result most fanfiction sites do not allow writers to profit off of fanfics, or advertise fanfic commissions. And those are cases with actual humans being the ones to produce the works based on something that inspired them or that they are interpreting. So even human made derivative works have rules and laws applied to them as well. Ai isn’t a creative force with thoughts and ideas and intent, it’s just a pattern recognition and replication tool, and it doesn’t benefit creators when it’s used to replace them entirely, like Hollywood is attempting to do (among other corporate entities). Viewing AI at least as critically as actual human beings is the very least we can do, as well as establishing protection for human creators so that they can’t be taken advantage of because of AI.
I’m not inherently against AI as a concept and as a tool for creators to use, but I am against AI works with no human input being used to replace creators entirely, and I am against using works to train it without the permission of the original creators. Even in the artist/writer/etc communities it’s considered to be a common courtesy to credit other people/works that you based a work on or took inspiration from, even if what you made would be safe under copyright law regardless. Sure, humans get some leeway in this because we are imperfect meat creatures with imperfect memories and may not be aware of all our influences, but a coded algorithm doesn’t have that excuse. If the current AIs in circulation can’t function without being fed stolen works without credit or permission, then they’re simply not ready for commercial use yet as far as I’m concerned. If it’s never going to be possible, which I just simply don’t believe, then it should never be used commercially period. And it should be used by creators to assist in their work, not used to replace them entirely. If it takes longer to develop, fine. If it takes more effort and manpower, fine. That’s the price I’m willing to pay for it to be ethical. If it can’t be done ethically, then imo it shouldn’t be done at all.
Your broader point would be stronger if it weren’t framed around what seems like a misunderstanding of modern AI. To be clear, you don’t need to believe that AI is “just” a “coded algorithm” to believe it’s wrong for humans to exploit other humans with it. But to say that modern AI is “just an advanced algorithm” is technically correct in exactly the same way that a blender is “just a deterministic shuffling algorithm.” We understand that the blender chops up food by spinning a blade, and we understand that it turns solid food into liquid. The precise way in which it rearranges the matter of the food is both incomprehensible and irrelevant. In the same way, we understand the basic algorithms of model training and evaluation, and we understand the basic domain task that a model performs. The “rules” governing this behavior at a fine level are incomprehensible and irrelevant-- and certainly not dictated by humans. They are an emergent property of a simple algorithm applied to billions-to-trillions of numerical parameters, in which all the interesting behavior is encoded in some incomprehensible way.
Bro I don’t think you have any idea what you’re talking about. These AIs aren’t blenders, they are designed to recognize and replicate specific aspects of art and writing and whatever else, in a way that is coherent and recognizable. Unless there’s a blender that can sculpt Michelangelo’s David out of apple peels, AI isn’t like a blender in any way.
But even if they were comparable, a blender is meant to produce chaos. It is meant to, you know, blend the food we put into it. So yes, the outcome is dictated by humans. We want the individual pieces to be indistinguishable, and deliberate design decisions get made by the humans making them to try and produce a blender that blends things sufficiently, and makes the right amount of chaos with as many ingredients as possible.
And here’s the thing, if we wanted to determine what foods were put into a blender, even assuming we had blindfolds on while tossing random shit in, we could test the resulting mixture to determine what the ingredients were before they got mashed together. We also use blenders for our own personal use the majority of the time, not for profit, and we use our own fruits and vegetables rather than stuff we stole from a neighbor’s yard, which would be, you know, trespassing and theft. And even people who use blenders to make something that they sell or offer publicly almost always list the ingredients, like restaurants.
So even if AI was like a blender, that wouldn’t be an excuse, nor would it contradict anything I’ve said.
Super interesting response, you managed to miss every possible point.
I disagree with your interpretation of how an AI works, but I think the way that AI works is pretty much irrelevant to the discussion in the first place. I think your argument stands completely the same regardless. Even if AI worked much like a human mind and was very intelligent and creative, I would still say that usage of an idea by AI without the consent of the original artist is fundamentally exploitative.
You can easily train an AI (with next to no human labor) to launder an artist’s works, by using the artist’s own works as reference. There’s no human input or hard work involved, which is a factor in what dictates whether a work is transformative. I’d argue that if you can put a work into a machine, type in a prompt, and get a new work out, then you still haven’t really transformed it. No matter how creative or novel the work is, the reality is that no human really put any effort into it, and it was built off the backs of unpaid and uncredited artists.
You could probably make an argument for being able to sell works made by an AI trained only on the public domain, but it still should not be copyrightable IMO, cause it’s not a human creation.
TL;DR - No matter how creative an AI is, its works should not be considered transformative in a copyright sense, as no human did the transformation.
I thought this way too, but after playing with ChatGPT and Mid Journey near daily, I have seen many moments of creativity way beyond the source it was trained on. I think a good example that I saw was on a YouTube video (sorry I cannot recall which to link) where thr prompt was animals made of sushi and wow, was it ever good and creative on how it made them and it was photo realistic. This is just not something you an find anywhere on the Internet. I just did a search and found some hand drawn Japanese style sushi with eyes and such, but nothing like what I saw in that video.
I have also experienced it suggested ways to handle coding on my VR Theme Park app that is very unconventional and not something anyone has posted about as near as I can tell. It seems to be able to put 2 and 2 together and get 8. Likely as it sees so much of everything at once that it can connect the dots on ways we would struggle too. It is more than regurgitated data and it surprises me near daily.
Just because you think it seems creative due to your lack of experience with human creativity, that doesn’t mean it is uniquely creative. It’s not, it can’t be by its very nature, it can only regurgitate an amalgamation of stuff fed into it. What you think you see is the equivalent of paradoilia.
Why you making personal jabs to make a point? How do you know my creative experience?
if it’s being done for profit, and fair use requires it to provide commentary, criticism, or parody of the original work used. Even if it’s transformative enough to make the original unrecognizable
I’m going to need a source for that. Fair use is a flexible and context-specific, It depends on the situation and four things: why, what, how much, and how it affects the work. No one thing is more important than the others, and it is possible to have a fair use defense even if you do not meet all the criteria of fair use.
I’m a bit confused about what point you’re trying to make. There is not a single paragraph or example in the link you provided that doesn’t support what I’ve said, and none of the examples provided in that link are something that qualified as fair use despite not meeting any criteria. In fact one was the opposite, as something that met all the criteria but still didn’t qualify as fair use.
The key aspect of how they define transformative is here:
Has the material you have taken from the original work been transformed by adding new expression or meaning?
These (narrow) AIs cannot add new expression or meaning, because they do not have intent. They are just replicating and rearranging learned patterns mindlessly.
Was value added to the original by creating new information, new aesthetics, new insights, and understandings?
These AIs can’t provide new information because they can’t create something new, they can only reconfigure previously provided info. They can’t provide new aesthetics for the same reason, they can only recreate pre-existing aesthetics from the works fed to them, and they definitely can’t provide new insights or understandings because again, there is no intent or interpretation going on, just regurgitation.
The fact that it’s so strict that even stuff that meets all the criteria might still not qualify as fair use only supports what I said about how even derivative works made by humans are subject to a lot of laws and regulations, and if human works are under that much scrutiny then there’s no reason why AI works shouldn’t also be under at least as much scrutiny or more. The fact that so much of fair use defense is dependent on having intent, and providing new meaning, insights, and information, is just another reason why AI can’t hide behind fair use or be given a pass automatically because “humans make derivative works too”. Even derivative human works are subject to scrutiny, criticism, and regulation, and so should AI works.
I’m a bit confused about what point you’re trying to make. There is not a single paragraph or example in the link you provided that doesn’t support what I’ve said, and none of the examples provided in that link are something that qualified as fair use despite not meeting any criteria. In fact one was the opposite, as something that met all the criteria but still didn’t qualify as fair use.
You said "…fair use requires it to provide commentary, criticism, or parody of the original work used. " This isn’t true, if you look at the summaries of fair use cases I provided you can see there are plenty of cases where there was no purpose stated.
These (narrow) AIs cannot add new expression or meaning, because they do not have intent. They are just replicating and rearranging learned patterns mindlessly.
You’re anthropomorphizing a machine here, the intent is that of the person using the tool, not the tool itself. These are tools made by humans for humans to use. It’s up to the artist to make all the content choices when it comes to the input and output and everything in between.
These AIs can’t provide new information because they can’t create something new, they can only reconfigure previously provided info. They can’t provide new aesthetics for the same reason, they can only recreate pre-existing aesthetics from the works fed to them, and they definitely can’t provide new insights or understandings because again, there is no intent or interpretation going on, just regurgitation.
I’m going to need a source on this too. This statement isn’t backed up with anything.
The fact that it’s so strict that even stuff that meets all the criteria might still not qualify as fair use only supports what I said about how even derivative works made by humans are subject to a lot of laws and regulations, and if human works are under that much scrutiny then there’s no reason why AI works shouldn’t also be under at least as much scrutiny or more. The fact that so much of fair use defense is dependent on having intent, and providing new meaning, insights, and information, is just another reason why AI can’t hide behind fair use or be given a pass automatically because “humans make derivative works too”. Even derivative human works are subject to scrutiny, criticism, and regulation, and so should AI works.
AI works are human works. AI can’t be authors or hold copyright.
Isn’t your last sentence making his point?
Neural networks are based on the same principles as the human brain, they are literally learning in the exact same way humans are. Copyrighting the training of neural nets is the essentially the same thing as copyrighting interpretation and learning by humans.
These AIs are not neural networks based on the human brain. They’re literally just algorithms designed to perform a single task.
Well, I’d consider agreeing if the LLMs were considered as a generic knowledge database. However I had the impression that the whole response from OpenAI & cie. to this copyright issue is “they build original content”, both for LLMs and stable diffusion models. Now that they started this line of defence I think that they are stuck with proving that their “original content” is not derivated from copyrighted content 🤷
Well, I’d consider agreeing if the LLMs were considered as a generic knowledge database. However I had the impression that the whole response from OpenAI & cie. to this copyright issue is “they build original content”, both for LLMs and stable diffusion models. Now that they started this line of defence I think that they are stuck with proving that their “original content” is not derivated from copyrighted content 🤷
Yeah I suppose that’s on them.
Copyright definitely needs to be stripped back severely. Artists need time to use their own work, but after a certain time everything needs to enter the public space for the sake of creativity.
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If you sample someone else’s music and turn around and try to sell it, without first asking permission from the original artist, that’s copyright infringement.
I think you completely and thoroughly do not understand what I’m saying or why I’m saying it. No where did I suggest that I do not understand modern copyright. I’m saying I’m questioning my belief in this extreme interpretation of copyright which is represented by exactly what you just parroted. That this interpretation is both functionally and materially unworkable, but also antithetical to a reasonable understanding of how ideas and communication work.
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Yeah, this is definitely leaning a little too “People shouldn’t pump their own gas because gas attendants need to eat, feed their kids, pay rent” for me.
A sample is a fundamental part of a song’s output, not just its input. If LLMs are changing the input’s work to a high enough degree is it not protected as a transformative work?
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To add to that, Harry Potter is the worst example to use here. There is no extra billion that JK Rowling needs to allow her to spend time writing more books.
Copyright was meant to encourage authors to invest in their work in the same way that patents do. If you were going to argue about the issue of lifting content from books, you should be using books that need the protection of copyright, not ones that don’t.
Copyright was meant
I just don’t know that I agree that this line of reasoning is useful. Who cares what it was meant for? What is it now, currently and functionally, doing?
We have to distinguish between LLMs
- Trained on copyrighted material and
- Outputting copyrighted material
They are not one and the same
Yeah, this headline is trying to make it seem like training on copyrighted material is or should be wrong.
Legally the output of the training could be considered a derived work. We treat brains differently here, that’s all.
I think the current intellectual property system makes no sense and AI is revealing that fact.
I think this brings up broader questions about the currently quite extreme interpretation of copyright. Personally I don’t think its wrong to sample from or create derivative works from something that is accessible. If its not behind lock and key, its free to use. If you have a problem with that, then put it behind lock and key. No one is forcing you to share your art with the world.
Most books are actually locked behind paywalls and not free to use? Or maybe I don’t understand what you meant?
Following that, if a sailor is the sea were to put a copy of a protected book on the internet and ChatGPT was trained on it, how that argument would go? The copyright owner didn’t place it there, so it’s not “their decision”. And savvy people can make sure it’s accessible if they want to.
My belief is, if they can use all non locked data for free, then the model should be shared for free too and it’s outputs shouldn’t be subject to copyright. Just for context
Output from an AI has just been recently considered as not copyrightable.
I think it stemmed from the actors strikes recently.
It was stated that only work originating from a human can be copyrighted.
Output from an AI has just been recently considered as not copyrightable.
Where can I read more about this? I’ve seen it mentioned a few times, but never with any links.
They clearly only read the headline If they’re talking about the ruling that came out this week, that whole thing was about trying to give an AI authorship of a work generated solely by a machine and having the copyright go to the owner of the machine through the work-for-hire doctrine. So an AI itself can’t be authors or hold a copyright, but humans using them can still be copyright holders of any qualifying works.
They might’ve just been bringing it up conversationally as it’s in a similar vein too
Should we distinguish it though? Why shouldn’t (and didn’t) artists have a say if their art is used to train LLMs? Just like publicly displayed art doesn’t provide a permission to copy it and use it in other unspecified purposes, it would be reasonable that the same would apply to AI training.
Ah, but that’s the thing. Training isn’t copying. It’s pattern recognition. If you train a model “The dog says woof” and then ask a model “What does the dog say”, it’s not guaranteed to say “woof”.
Similarly, just because a model was trained on Harry Potter, all that means is it has a good corpus of how the sentences in that book go.
Thus the distinction. Can I train on a comment section discussing the book?
If I memorize the text of Harry Potter, my brain does not thereby become a copyright infringement.
A copyright infringement only occurs if I then reproduce that text, e.g. by writing it down or reciting it in a public performance.
Training an LLM from a corpus that includes a piece of copyrighted material does not necessarily produce a work that is legally a derivative work of that copyrighted material. The copyright status of that LLM’s “brain” has not yet been adjudicated by any court anywhere.
If the developers have taken steps to ensure that the LLM cannot recite copyrighted material, that should count in their favor, not against them. Calling it “hiding” is backwards.
You are a human, you are allowed to create derivative works under the law. Copyright law as it relates to machines regurgitating what humans have created is fundamentally different. Future legislation will have to address a lot of the nuance of this issue.
If Google took samples from millions of different songs that were under copyright and created a website that allowed users to mix them together into new songs, they would be sued into oblivion before you could say “unauthorized reproduction.”
You simply cannot compare one single person memorizing a book to corporations feeding literally millions of pieces of copyrighted material into a blender and acting like the resulting sausage is fine because “only a few rats fell into the vat, what’s the big deal”
Terrible analogy.
Which one? And why exactly?
The analogy talks about mixing samples of music together to make new music, but that’s not what is happening in real life.
The computers learn human language from the source material, but they are not referencing the source material when creating responses. They create new, original responses which do not appear in any of the source material.
“Learn” is debatable in this usage. It is trained on data and the model creates a set of values that you can apply that produce an output similar to human speach. It’s just doing math though. It’s not like a human learns. It doesn’t care about context or meaning or anything else.
Okay, but in the context of this conversation about copyright I don’t think the learning part is as important as the reproduction part.
Google crawls every link available on all websites to index and give to people. That’s a better example. Which is legal and up to the websites to protect their stuff
It’s not a problem that it reads something. The problem is the thing that it produces should break copyright. Google search is not producing something, it reads everything to link you to that original copyrighted work. If it read it and then just spit out what’s read on its own, instead of sending you to the original creators, that wouldn’t be OK.
The blurb it puts out in the search results is much more directly “spitting out what’s read” than anything an LLM does. As are most other srts of results that appear on the front page of a google search.
Another sensationalist title. The article makes it clear that the problem is users reconstructing large portions of a copyrighted work word for word. OpenAI is trying to implement a solution that prevents ChatGPT from regurgitating entire copyrighted works using “maliciously designed” prompts. OpenAI doesn’t hide the fact that these tools were trained using copyrighted works and legally it probably isn’t an issue.
you bought the book to memorize from, anyway.
No, I shoplifted it from an Aldi
Let’s not pretend that LLMs are like people where you’d read a bunch of books and draw inspiration from them. An LLM does not think nor does it have an actual creative process like we do. It should still be a breach of copyright.
… you’re getting into philosophical territory here. The plain fact is that LLMs generate cohesive text that is original and doesn’t occur in their training sets, and it’s very hard if not impossible to get them to quote back copyrighted source material to you verbatim. Whether you want to call that “creativity” or not is up to you, but it certainly seems to disqualify the notion that LLMs commit copyright infringement.
This topic is fascinating.
I really do think i understand both sides here and want to find the hard line that seperates man from machine.
But it feels, to me, that some philosophical discussion may be required. Art is not something that is just manufactured. “Created” is the word to use without quotation marks. Or maybe not, i don’t know…
I wasn’t referring to whether the LLM commits copyright infringement when creating a text (though that’s an interesting topic as well), but rather the act of feeding it the texts. My point was that it is not like us in a sense that we read and draw inspiration from it. It’s just taking texts and digesting them. And also, from a privacy standpoint, I feel kind of disgusted at the thought of LLMs having used comments such as these ones (not exactly these, but you get it), for this purpose as well, without any sort of permission on our part.
That’s mainly my issue, the fact that they have done so the usual capitalistic way: it’s easier to ask for forgiveness than to ask for permission.
I think you’re putting too much faith in humans here. As best we can tell the only difference between how we compute and what these models do is scale and complexity. Your brain often lies to you and makes up reasoning behind your actions after the fact. We’re just complex networks doing math.
but rather the act of feeding it the texts.
Unless you are going to argue the act of feeding it the texts is distributing the original text or doing some kind of public performance of the text, I don’t see how.
*could
Vanilla Ice had it right all along. Nobody gives a shit about copyright until big money is involved.
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AI and your brain are very different things
How do you know that guy isn’t an AI?
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His point is equally valid. Can an artist be compelled to show the methods of their art? Is it as right to force an artist to give up methods if another artist thinks they are using AI to derive copyrighted work? Haven’t we already seen that LLMs are really poor at evaluating whether or not something was created by an LLM? Wouldn’t making strong laws on such an already opaque and difficult-to-prove issue be more of a burden on smaller artists vs. large studios with lawyers-in-tow.
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Irrelevant. You will be assimilated. Resistance is futile.
If I read Harry Potter and wrote a novel of my own, no doubt ideas from it could consciously or subconsciously influence it and be incorporated into it. Hey is that any different from what an LLM does?
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Your brain isn’t an AI model
OR IS IT?
You joke but AI advocates seem to forget that people have fundamentally different rights than tools and objects. A photocopier doesn’t get the right to “memorize” and “learn” from a text that a human being does. As much as people may argue that AIs work different, AIs are still not people.
And if they ever become people, the situation will be much more complicated than whether they can imitate some writer. But we aren’t there yet, even their advocates just uses them as tools.
You should read this article by Kit Walsh, who’s a senior staff attorney at the EFF too. The EFF is a digital rights group who most recently won a historic case: border guards now need a warrant to search your phone.
But this falls exactly under what I just said. To say that using Machine Learning to imitate an artist without permission is fine, because humans are allowed to learn to each other, is making the mistake of assigning personhood to the system, that it ought to have the same rights that human beings do. There is a distinction between the rights of humans as opposed to tools, so to say that an AI can’t be trained on someone’s works to replicate their style doesn’t need to apply to people.
Even if you support that reasoning, that still doesn’t help the writers and artists whose job is threatened by AI models based on their work. That it isn’t an exact reproduction doesn’t change that it relied on using their works to begin with, and it doesn’t change that it serves as a way to undercut them, providing a cheaper replacement for their work. Copyright law as it was, wasn’t envisioned for a world where Machine Learning exists. It doesn’t really solve the problem to say that technically it’s not supposed to cover ideas and styles. The creators will be struggling just the same.
Either the law will need to emphasize the value of human autorship first, or we will need to go through drastic socioeconomic changes to ensure that these creators will be able to keep creating despite losing market to AI. Otherwise, to simply say that AI gets to do this and change nothing else, will cause enormous damage to all sort of creative careers and wider culture. Even AI will become more limited with less fresh new creators to learn elements from.
The system doesn’t get personhood, it is your tool, and as said in the article:
It is your right, not the system’s you’re upholding.
There is a difference between “analyzing” and derivating. The authorship of AI-created works is also not the user’s, it takes more than a prompt for that, and that seems to be the conclusion courts are leaning towards.
Still, even if that turns out to be technically correct, it still doesn’t help the creators getting undercut who might be driven out of their careers by AI.
It was just ruled AI can’t be authors or hold copyright. AI itself can’t be authors or hold a copyright, but humans using them can still be copyright holders of any qualifying works.
How do you see that as a difference? Tools are extensions of ourselves.
Restricting the use of LLMs is only restricting people.
When we get to the realm of automation and AI, calling tools just an “extension of ourselves” doesn’t make sense.
Especially not when the people being “extended” by Machine Learning models did not want to be “extended” to begin with.
Exactly. If I write some Loony toons fan fiction, Warner doesn’t own that. This ridiculous view of copyright (that’s not being challenged in the public discourse) needs to be confronted.
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They can own it, actually. If you use the characters of Bugs Bunny, etc., or the setting (do they have a canonical setting?) then Warner does own the rights to the material you’re using.
For example, see how the original Winnie the Pooh material just entered public domain, but the subsequent Disney versions have not. You can use the original stuff (see the recent horror movie for an example of legal use) but not the later material like Tigger or Pooh in a red shirt.
Now if your work is satire or parody, then you can argue that it’s fair use. But generally, most companies don’t care about fan fiction because it doesn’t compete with their sales. If you publish your Harry Potter fan fiction on Livejournal, it wouldn’t be worth the money to pay the lawyers to take it down. But if you publish your Larry Cotter and the Wizard’s Rock story on Amazon, they’ll take it down because now it’s a competing product.
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I think its more like writing a loony toons fanfic based only on pirated material
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Can’t but theyre pretty open on how they trained the model, so like almost admitted guilt (though they werent hosting the pirated content, its still out there and would be trained on). Cause unless they trained it on a paid Netflix account, there’s no way to get it legally.
Idk where this lands legally, but I’d assume not in their favour
It’s honestly a good question. It’s perfectly legal for you to memorize a copyrighted work. In some contexts, you can recite it, too (particularly the perilous fair use). And even if you don’t recite a copyrighted work directly, you are most certainly allowed to learn to write from reading copyrighted books, then try to come up with your own writing based off what you’ve read. You’ll probably try your best to avoid copying anyone, but you might still make mistakes, simply by forgetting that some idea isn’t your own.
But can AI? If we want to view AI as basically an artificial brain, then shouldn’t it be able to do what humans can do? Though at the same time, it’s not actually a brain nor is it a human. Humans are pretty limited in what they can remember, whereas an AI could be virtually boundless.
If we’re looking at intent, the AI companies certainly aren’t trying to recreate copyrighted works. They’ve actively tried to stop it as we can see. And LLMs don’t directly store the copyrighted works, either. They’re basically just storing super hard to understand sets of weights, which are a challenge even for experienced researchers to explain. They’re not denying that they read copyrighted works (like all of us do), but arguably they aren’t trying to write copyrighted works.
No, because you paid for a single viewing of that content with your cinema ticket. And frankly, I think that the price of a cinema ticket (= a single viewing, which it was) should be what OpenAI should be made to pay.
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The powers that be have done a great job convincing the layperson that copyright is about protecting artists and not publishers. It’s historically inaccurate and you can discover that copyright law was pushed by publishers who did not want authors keeping second hand manuscripts of works they sold to publishing companies.
I hope OpenAI and JK Rowling take each other down
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What’s the issue against openAI?
They used to be a non profit, that immediately turned it into a for profit when their product was refined. They took a bunch of people’s effort whether it be training materials or training Monkeys using the product and then slapped a huge price tag on it.
I didn’t know they were a non profit. I’m good as long as they keep the current model. Release older models free to use while charging for extra or latest features
They’re stealing a ridiculous amount of copyrighted works to use to train their model without the consent of the copyright holders.
This includes the single person operations creating art that’s being used to feed the models that will take their jobs.
OpenAI should not be allowed to train on copyrighted material without paying a licensing fee at minimum.
Also Sam Altman is a grifter who gives people in need small amounts of monopoly money to get their biometric data
So hypothetical here. If Dreddit did launch a system that made it so users could trade Karma in for real currency or some alternative, does that mean that all fan fictions and all other fan boy account created material would become copyright infringement as they are now making money off the original works?
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He’s not helping them. That’s my point. He’s taking advantage of them for his grift, so fuck him.
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If they purchased the data or the data is free its theirs to do what they want without violating the copyright like reselling the original work as their own. Training off it should not violate any copyright if the work was available for free or purchased by at least one person involved. Capitalism should work both ways
But they don’t purchase the data. That’s the whole problem.
And copyright is absolutely violated by training off it. It’s being used to make money and no longer falls under even the widest interpretation of free use.
You need to expand on how learning from something to make money is somehow using the original material to make money. Considering that’s how art works in general, I’m having a hard time taking the side of “learning from media to make your own is against copyright”. As long as they don’t reproduce the same thing as the original, I don’t see any issues with it. If they learned from Lord of the rings to then make “the Lord of the rings” then yes, that’d be infringement. But if they use that data to make a new IP with original ideas, then how is that bad for the world/ artists.
Creating an AI model is a commercial work. They’re made to make money. Now these models are dependent on other artists data to train on. The models would be useless if they weren’t able to train on anything.
I hold the stance that using copyrighted data as part of a training set is a violation of copyright. That still hasn’t been fully challenged in court, so there’s no specific legal definition yet.
Due to the requirement of copywritten materials to make the model function I feel that they are using copyrighted works in order to build a commercial product.
Also AI doesn’t learn. LLMs build statistical models based on sentence structure of what they’ve seen before. There’s no level of understanding or inherent knowledge, and there’s nothing new being added.
I think a lot of people are not getting it. AI/LLMs can train on whatever they want but when then these LLMs are used for commercial reasons to make money, an argument can be made that the copyrighted material has been used in a money making endeavour. Similar to how using copyrighted clips in a monetized video can make you get a strike against your channel but if the video is not monetized, the chances of YouTube taking action against you is lower.
AI/LLMs can train on whatever they want but when then these LLMs are used for commercial reasons to make money, an argument can be made that the copyrighted material has been used in a money making endeavour.
And does this apply equally to all artists who have seen any of my work? Can I start charging all artists born after 1990, for training their neural networks on my work?
Learning is not and has never been considered a financial transaction.
Actually, it has. The whole consept of copyright is relatively new, and corporations absolutely tried to have people who learned proprietary copyrighted information not be able to use it in other places.
It’s just that labor movements got such non-compete agreements thrown out of our society, or at least severely restricted on humanitarian grounds. The argument is that a human being has the right to seek happiness by learning and using the proprietary information they learned to better their station. By the way, this needed a lot of violent convincing that we have this.
So yes, knowledge and information learned is absolutely withing the scope of copyright as it stands, it’s only that the fundamental rights that humans have override copyright. LLMs (and companies for that matter) do not have such fundamental rights.
Copyright by the way is stupid in its current implementation, but OpenAI and ChatGPT does not get to get out of it IMO just because it’s “learning”. We humans ourselves are only getting out of copyright because of our special legal status.
You kind of do. Fair use protects reverse engineering, indexing for search engines, and other forms of analysis that create new knowledge about works or bodies of works. These models are meant to be used to create new works which is where the “generative” part of generative models comes in, and the fact that the models consist only of original analysis of the training data in comparison with one another means as your tool, they are protected.
https://en.wikipedia.org/wiki/Fair_use
Fair use only works if what you create is to reflect on the original and not to supercede it. For example if ChatGPT gobbled up a work on the reproduction of firefies, if you ask it a question about the topic and it just answers, that’s not fair use since you made the original material redundant. If it did what a search engine would do and just tell you that “here’s where you can find it, you might have to pay for it”, that’s fair use. This is of course US law, so it may be different everywhere, and US law is weird so the courts may say anything.
That’s the gist of it, fair use is fine as long as you are only creating new information and only use the copyrighted old work as is absolutely necessary for your new information to make sense, and even then, you can’t use so much of the copyrighted work that it takes away from the value of it.
Otherwise if I pirated a movie and put subtitles on it, I could argue it’s fair use since it’s new information and transformative. If I released the subtitles separately, that would be a strong argument for fair use. If I included a 10 sec clip in it to show my customers what the thing is like in action, then that may be argued. If it’s the pivotal 10 seconds that spoils the whole movie, that’s not fair use, since I took away from the value of the original.
ChatGPT ate up all of these authors’ works and for some, it may take away from the value they have created. It’s telling that OpenAI is trying to be shifty about it as well. If they had a strong argument, they’d want to settle it as soon as possibe as this is a big stormcloud on their company IP value. And yeah it sucks that people created something that may turn out to not be legal because some people have a right to profit from some pieces of capital assets, but that’s the story of the world the past 50 years.
First of all, fair use is not simple or as clear-cut a concept that can be applied uniformly to all cases than you make it out to be. It’s flexible and context-dependent on careful analysis of four factors: the purpose and character of the use, the nature of the copyrighted work, the amount and substantiality of the portion used, and the effect of the use upon the potential market. No one factor is more important than the others, and it is possible to have a fair use defense even if you do not meet all the criteria of fair use.
Generative models create new and original works based on their weights, such as poems, stories, code, essays, songs, images, video, celebrity parodies, and more. These works may have their own artistic merit and value, and may be considered transformative uses that add new expression or meaning to the original works. Providing your own explanation on the reproduction of fireflies isn’t making the original redundant nor isn’t reproducing the original, so it’s likely fair use. Plenty of competing works explaining the same thing exist, and they’re not invalid because someone got to it first, or they’re based on the same sources.
Your example about subtitling a movie doesn’t meet the criteria for fair use because subtitling a movie isn’t a transformative use. It doesn’t add any expression or meaning, you doubly reproduce the original work in a different language, and it isn’t commentary, criticism, or parody. Subtitling a movie also involves using the entire work, which again weighs against fair use. The more of the original you use, the less likely it’s fair use. This might also have a negative effect on the potential market for the original, since it could reduce demand for the original or its authorized translations. Now, subtitling a short clip from a movie to illustrate a point in an educational video or a review would likely fly.
Finally, uses that can result in lost sales for already established markets tend to be determined as not fair use by the courts. This doesn’t mean that uses that affect the market are unfair. That would mean you wouldn’t be able to create a parody movie or use snippets of a work for a review. These can be considered a fair use because they comment on or criticize the original work, unlike uploading a full movie, song, or translated script. Though I could be getting the wrong read here, since you didn’t explain how you came to any of your conclusions.
I think you’re being too narrow and rigid with your interpretation of fair use, and I don’t think you understand the doctrine that well. I recommend reading this article by Kit Walsh, who’s a senior staff attorney at the EFF, a digital rights group, who recently won a historic case: border guards now need a warrant to search your phone. I’d like to hear your thoughts.
I am not a lawyer by the way, I don’t even live in the US, so what I write is just my opinion.
But fair use seems a ridiculous defense when we talk about the Github Copilot case, which is the first tangible lawsuit about it that I know of. The plaintiffs lay out the case of a book for Javascript developers as their example. The objective of the book to give you excercises in Javascript development, I would get the book if I wanted to do Javascript excercises. The book is copyrighted under a share-alike attribution required licence. The defendants Github and OpenAI don’t honour the license with Copilot and Codex. They claim fair use.
So with the four factors:
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the purpose and character of your use: .Well, they present their Javascript excercises as original work while it’s obvious they are not, they are reproducing the task they want letter by letter. It is even missing critical context that makes it hard to understand without the book, so their work does not even stand on its own. Also, they do this for monetary compensation, while not respecting the original license, which if someone was giving a commentary or criticism covered by fair use, would be as trivial as providing a citation of the book. They are also not producing information beyond what’s available in the book. Quite funnily, the plaintiffs mention that the “derivative” work is also not quite valuable, as the model answered with an example from a “what’s wrong with this, can you fix it?” section for a question about how to determine if a number is even.
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the nature of the copyrighted work: It’s freely available, the licence only requires if you republish it, you should provide proper attribution. It is not impossible to provide use cases based on fair use while honouring the license. There is no monetary or other barrier.
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the amount and substantiality of the portion taken: All of it, and it is reproduced verbatim.
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the effect of the use upon the potential market: Github Copilot is in the same market as the original work and is competing with it, namely in showing people how to use Javascript.
And again, I feel this is one layer. Copyright enforcement has never been predictable, and US courts are not predictable either. I think anything can come of this now that it’s big tech that is on the defendant side, and they have the resources to fight, not like random Joe Schmoes caught with bootleg DVDs. Maybe they abolish copyright? Maybe they get an exception? Since US courts have such wide jurisdiction and can effectively make laws, it is still a toss-up. That said, the Github Copilot class action case is the one to watch, and so far, the judge denied orders to dismiss the case, so it may go either way.
Also by the way, the EU has no fair use protections, it only allows very specific exceptions for public criticism and such, none of which fits AI. Going by the example of Copilot, this would mean that EU users can’t use Copilot, and also that anything that was produced with the assistance of Copilot (or ChatGPT for that matter) is not marketable in the EU.
I am not a lawyer either or a programmer for that matter, but the Copilot case looks pretty fucked. We can’t really get a look at the plaintiff’s examples since they have to be kept anonymous. Generative models weights don’t copy and paste from their training data unless there’s been some kind of overfitting, and some cases of similar or identical code snippets, might be inevitable given the nature of programming languages and common tasks. If the model was trained correctly, it should only ever see infinitesimally tiny parts of its training data. We also can’t tell how much of the plaintiff’s code is being used for the same reasons. The same is true of the plaintiff’s claims about the “Suggestions matching public code”.
This case is still in discovery and mired in secrecy, we might not ever find out what’s going on even once the proceedings have concluded.
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Ehh, “learning” is doing a lot of lifting. These models “learn” in a way that is foreign to most artists. And that’s ignoring the fact the humans are not capital. When we learn we aren’t building a form a capital; when models learn they are only building a form of capital.
Artists, construction workers, administrative clerks, police and video game developers all develop their neural networks in the same way, a method simulated by ANNs.
This is not, “foreign to most artists,” it’s just that most artists have no idea what the mechanism of learning is.
The method by which you provide input to the network for training isn’t the same thing as learning.
Artists, construction workers, administrative clerks, police and video game developers all develop their neural networks in the same way, a method simulated by ANNs.
Do we know enough about how our brain functions and how neural networks functions to make this statement?
Do we know enough about how our brain functions and how neural networks functions to make this statement?
Yes, we do. Take a university level course on ML if you want the long answer.
My friends who took computer science told me that we don’t totally understand how machine learning algorithms work. Though this conversation was a few years ago in college. Will have to ask them again
ANNs are not the same as synapses, analogous yes, but different mathematically even when simulated.
This is orthogonal to the topic at hand. How does the chemistry of biological synapses alone result in a different type of learned model that therefore requires different types of legal treatment?
The overarching (and relevant) similarity between biological and artificial nets is the concept of connectionist distributed representations, and the projection of data onto lower dimensional manifolds. Whether the network achieves its final connectome through backpropagation or a more biologically plausible method is beside the point.
When we learn we aren’t building a form a capital; when models learn they are only building a form of capital.
What do you think education is? I went to university to acquire knowledge and train my skills so that I could later be paid for those skills. That was literally building my own human capital.
Humanities and Art majors are often criticized for not producing such capital.
But wouldn’t this training and the subsequent output be so transformative that being based on the copyrighted work makes no difference? If I read a Harry Potter book and then write a story about a boy wizard who becomes a great hero, anyone trying to copyright strike that would be laughed at.
Your probability of getting copyright strike depends on two major factors -
• How similar your story is to Harry Potter.
• If you are making money of that story.
using copyrighted clips in a monetized video can make you get a strike against your channel
Much of the time, the use of very brief clips is clearly fair use, but the people who issue DMCA claims don’t care.
You could run a paid training course using a paid-for book, that doesn’t mean you’re breaking copyright.
How is it any different from someone reading the books, being influenced by them and writing their own book with that inspiration? Should the author of the original book be paid for sales of the second book?
Again that is dependent on how similar the two books are. If I just change the names of the characters and change the grammatical structure and then try to sell the book as my own work, I am infringing the copyright. If my book has a different story but the themes are influenced by another book, then I don’t believe that is copyright infringement. Now where the line between infringement and no infringement lies is not something I can say and is a topic for another discussion
I think a lot of people are not getting it. AI/LLMs can train on whatever they want but when then these LLMs are used for commercial reasons to make money, an argument can be made that the copyrighted material has been used in a money making endeavour.
Only in the same way that I could argue that if you’ve ever watched any of the classic Disney animated movies then anything you ever draw for the rest of your life infringes on Disney’s copyright, and if you draw anything for money then the Disney animated movies you have seen in your life have been used in a money making endeavor. This is of course ridiculous and no one would buy that argument, but when you replace a human doing it with a machine doing essentially the same thing (observing and digesting a bunch of examples of a given kind of work, and producing original works of the general kind that meet a given description) suddenly it’s different, for some nebulous reason that mostly amounts to creatives who believed their jobs could not at least in part be automated away trying to get explicit protection from their jobs being at least in part automated away.
Why are people defending a massive corporation that admits it is attempting to create something that will give them unparalleled power if they are successful?
Mostly because fuck corporations trying to milk their copyright. I have no particular love for OpenAI (though I do like their product), but I do have great distain for already-successful corporations that would hold back the progress of humanity because they didn’t get paid (again).
But OpenAI will do the same?
Perhaps, and when that happens I would be equally disdainful towards them.
In the United States there was a judgement made the other day saying that works created soley by AI are not copyright-able. So that that would put a speed bumb there.
I may have misunderstood what you though.Yeah, they might not copyright it, but after it becomes the ‘one true AI’, it will be at the hands of Microsoft, so please do not act friendly towards them.
It will turn on you just like every private company has.
(don’t mean specifically you, but everyone generally)
There’s a massive difference though between corporations milking copyright and authors/musicians/artists wanting their copyright respected. All I see here is a corporation milking copyrighted works by creative individuals.
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Because ultimately, it’s about the truth of things, and not what team is winning or losing.
The dream would be that they manage to make their own glorious free & open source version, so that after a brief spike in corporate profit as they fire all their writers and artists, suddenly nobody needs those corps anymore because EVERYONE gets access to the same tools - if everyone has the ability to churn out massive content without hiring anyone, that theoretically favors those who never had the capital to hire people to begin with, far more than those who did the hiring.
Of course, this stance doesn’t really have an answer for any of the other problems involved in the tech, not the least of which is that there’s bigger issues at play than just “content”.
Because everyone learns from books, it’s stupid.
An LLM is not a person, it is a product. It doesn’t matter that it “learns” like a human - at the end of the day, it is a product created by a corporation that used other people’s work, with the capacity to disrupt the market that those folks’ work competes in.
And it should be able to freely use anything that’s available to it. These massive corporations and entities have exploited all the free spaces to advertise and sell us their own products and are now sour.
If they had their way they are going to lock up much more of the net behind paywalls. Everybody should be with the LLMs on this.
You are somehow conflating “massive corporation” with “independent creator,” while also not recognizing that successful LLM implementations are and will be run by massive corporations, and eventually plagued with ads and paywalls.
People that make things should be allowed payment for their time and the value they provide their customer.
People are paid. But they’re greedy and expect far more compensation then they deserve. In this case they should not be compensated for having an LLM ingest their work work if that work was legally owned or obtained
Except the massive corporations and entities are the ones getting rich on this. They’re seeking to exploit the work of authors and musicians and artists.
Respecting the intellectual property of creative workers is the anti corporate position here.
Large number of these Artist, musicians and authors is corporate America today. And those authors artists and musicians have exploited all our spaces for far too long. Most of the internet had been turned toxic due to their greed. I wish they take their content and go find their own spaces instead of mooching off everybody else’s. These LLMs are only doing what they’ve done
I’m sorry, what?
If they had their way they are going to lock up much more of the net behind paywalls.
This!
When the Internet was first a thing corpos tried to put everything behind paywalls, and we pushed back and won.
Now, the next generation is advocating to put everything behind a paywall again?
How are we going to make ai, if it can’t learn?
First, we don’t have to make AI.
Second, it’s not about it being unable to learn, it’s about the fact that they aren’t paying the people who are teaching it.
Then give the AI a library card, feel better?
The reasoning that claims training a generative model is infringing IP would still mean a robot going into a library with a card it has to optically read all the books there to create the same generative model would still be infringing IP.
Same way that counting cards is illegal
Humans can judge information make decisions on it and adapt it. AI mostly just looks at what is statistically what is most likely based on training data. If 1 piece of data exists, it will copy, not paraphrase. Example was from I think copilot where it just printed out the code and comments from an old game verbatim. I think Quake2. It isn’t intelligence, it is statistical copying.
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because it might hurt authors and musicians and artists and other creative workers
FTFY. Corporations shouldn’t be making a fucking dime from any of these works without fairly paying the creators.
Leftists hating on AI while dreaming of post-scarcity will never not be funny
AI is the new fan boy following since it became official that nfts are all fucking scams. They need a new technological God to push to feel superior to everyone else…
Are you ok? You seem upset
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Training AI on copyrighted material is no more illegal or unethical than training human beings on copyrighted material (from library books or borrowed books, nonetheless!). And trying to challenge the veracity of generative AI systems on the notion that it was trained on copyrighted material only raises the specter that IP law has lost its validity as a public good.
The only valid concern about generative AI is that it could displace human workers (or swap out skilled jobs for menial ones) which is a problem because our society recognizes the value of human beings only in their capacity to provide a compensation-worthy service to people with money.
The problem is this is a shitty, unethical way to determine who gets to survive and who doesn’t. All the current controversy about generative AI does is kick this can down the road a bit. But we’re going to have to address soon that our monied elites will be glad to dispose of the rest of us as soon as they can.
Also, amateur creators are as good as professionals, given the same resources. Maybe we should look at creating content by other means than for-profit companies.
Also this argument if replacing human workers has been made with every single industrial revolution.
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The point is fighting back against it is stupid. The point is people still have work. New technology opens up new was to work with new jobs.
what if they scraped a whole lot of the internet, and those excerpts were in random blogs and posts and quotes and memes etc etc all over the place? They didnt injest the material directly, or knowingly.
Not knowing something is a crime doesn’t stop you from being prosecuted for committing it.
It doesn’t matter if someone else is sharing copyright works and you don’t know it and use it in ways that infringes on that copyright.
“I didn’t know that was copyrighted” is not a valid defence.
Is reading a passage from a book actually a crime though?
Sure, you could try to regenerate the full text from quotes you read online, much like you could open a lot of video reviews and recreate larger portions of the original text, but you would not blame the video editing program for that, you would blame the one who did it and decided to post it online.
That’s why this whole argument is worthless, and why I think that, at its core, it is disingenuous. I would be willing to be a steak dinner that a lot of these lawsuits are just fishing for money, and the rest are set up by competition trying to slow the market down because they are lagging behind. AI is an arms race, and it’s growing so fast that if you got in too late, you are just out of luck. So, companies that want in are trying to slow down the leaders, at best, and at worst they are trying to make them publish their training material so they can just copy it. AI training models should be considered IP, and should be protected as such. It’s like trying to get the Colonel’s secret recipe by saying that all the spices that were used have been used in other recipes before, so it should be fair game.
If training models are considered IP then shouldn’t we allow other training models to view and learn from the competition? If learning from other IPs that are copywritten is okay, why should the training models be treated different?
This is just OpenAI covering their ass by attempting to block the most egregious and obvious outputs in legal gray areas, something they’ve been doing for a while, hence why their AI models are known to be massively censored. I wouldn’t call that ‘hiding’. It’s kind of hard to hide it was trained on copyrighted material, since that’s common knowledge, really.
They made it read Harry Potter? No wonder its gonna kill us all one day.
I don’t get why this is an issue. Assuming they purchased a legal copy that it was trained on then what’s the problem? Like really. What does it matter that it knows a certain book from cover to cover or is able to imitate art styles etc. That’s exactly what people do too. We’re just not quite as good at it.
A copyright holder has the right to control who has the right to create derivative works based on their copyright. If you want to take someone’s copyright and use it to create something else, you need permission from the copyright holder.
The one major exception is Fair Use. It is unlikely that AI training is a fair use. However this point has not been adjudicated in a court as far as I am aware.
It is not a derivative it is transformative work. Just like human artists “synthesise” art they see around them and make new art, so do LLMs.
LLMs don’t create anything new. They have limited access to what they can be based on, and all assumptions made by it are based on that data. They do not learn new things or present new ideas. Only ideas that have been already done and are present in their training.
Transformative works are not a thing.
If you copy the copyrightable elements of another work, you have created a derivative work. That work needs to be transformative in order to be eligible for its own copyright, but being transformative alone is not enough to make it non-infringing.
There are four fair use factors. Transformativeness is only considered by one of them. That is not enough to make a fair use.
Transformativeness is only considered by one of them. That is not enough to make a fair use.
Somebody better let YouTube content creators know that. /s
this is so fucking stupid though. almost everyone reads books and/or watches movies, and their speech is developed from that. the way we speak is modeled after characters and dialogue in books. the way we think is often from books. do we track down what percentage of each sentence comes from what book every time we think or talk?
Aye, but I’m thinking the whole notion of copyright is banking on the fact that human beings are inherently lazy and not everyone will start churning out books in the same universe or style. And if they do, it takes quite some time to get the finished product and they just get sued for it. It’s easy, because there’s a single target.
So there’s an extra deterrent to people writing and publishing a new harry potter novel, unaffiliated with the current owner of the copyright. Invest all that time and resources just to be sued? Nah…
Issue with generating stuff with 'puters is that you invest way less time, so the same issue pops up for the copyright owner, they’re just DDoS-ed on their possible attack routes. Will they really sue thousands or hundreds of thoudands of internet randos generating harry potter erotica using a LLM? Would you even know who they are? People can hide money away in Switzerland from entite governments, I’m sure there are ways to hide your identity from a book publisher.
It was never about the content, it’s about the opportunities the technology provides to halt the gears of the system that works to enforce questionable laws. So they’re nipping it in the bud.
this brings up the question: what is a book? what is art? if an “AI” can now churn out the next harry potter sequel and people literally can’t tell that it’s not written by JK Rowling, then what does that mean for what people value in stories? what is a story? is this a sign that we humans should figure something new out, instead of reacting according to an outdated protocol?
yes, authors made money in the past before AI. now that we have AI and most people can get satisfied by a book written by AI, what will differentiate human authors from AI? will it become a niche thing, where some people can tell the difference and they prefer human authors? or will there be some small number of exceptional authors who can produce something that is obviously different from AI?
i see this as an opportunity for artists to compete with AI, rather than say “hey! no fair! he can think and write faster than me!”
Well, poor literature has always existed, which some might not even dignify to call literature. Are writers of such things threatened by LLMs? Of course they are. Every new technology has beought with it the fear of upending somebody’s world. And to some extent, every new technology has indeed done just that.
Personally, and… this will probably be highly unpopular, I honestly don’t care who or what created a piece of art. Is it pretty? Does it satisfy my need for just the right amount of weird, funny and disturbing to stir emotions or make me go ‘heh, interesting!’? Then it really doesn’t matter where it comes from. We put way too much emphasis on the pedigree of art and not on the content. Hell, one very nice short story I read was the greentext one about humans being AI and escaping from the simulation. Wonder how many would scoff at calling art something that came out of 4chan?
Maybe this is the issue? Art is thought of as a purely human endeavour (also birds do it, and that one pufferfish that draws on the seabed, but they’re “dumb” animals so they don’t count, right? hell, there’s even a jumping spider that does some pretty rad dances). And if code in a machine can do it just as well (can it? let it - we’ll be all the better for it. can’t it? let it be then - no issue) then what would be the significance of being human?
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