There is something wrong when search and AI companies extract all of the value produced by journalism for themselves. Sites like Reddit and Lemmy also have this issue. I’m not sure what the solution is. I don’t like the idea of a web full of paywalls, but I also don’t like the idea of all the profit going to the ones who didn’t create the product.
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What's the value of old journalism?
It's a product where the value curve is heavily weighted towards recency.
In theory, the greatest value theft is when the AP writes a piece and two dozen other 'journalists' copy the thing changing the text just enough not to get sued. Which is completely legal, but what effectively killed investigative journalism.
A LLM taking years old articles and predicting them until it can effectively learn relationships between language itself and events described in those articles isn't some inherent value theft.
It's not the training that's the problem, it's the application of the models that needs policing.
Like if someone took a LLM, fed it recently published news stories in the prompts with RAG, and had it rewrite them just differently enough that no one needed to visit the original publisher.
Even if we have it legal for humans to do that (which really we might want to revisit, or at least create a special industry specific restriction regarding), maybe we should have different rules for the models.
But to try to claim a LLM that's allowing coma patients to communicate or to problem solve self-driving algorithms or to diagnose medical issues is stealing the value of old NYT articles in its doing so is not really an argument I see much value in.
Really gave me a whole new perspective. Thanks for that.
The solution is imposing to these companies the responsibility of tracking their profit per media, tax them and redistribute that money based on the tracking info. They're able to track all the pages you visit, it's complete bullshit when they say they don't know how much they make for each places their ads are displayed.
but I also don’t like the idea of all the profit going to the ones who didn’t create the product.
Should... should we tell him?
Tell them instead of mocking them.
Yes, "that's how the world works". But doesn't mean we should stop trying to change it.
Ai isn't creating the product. It consumed it.
My question is how is an AI reading a bunch of articles any different from a human doing it. With this logic no one would legally be able to write an article as they are using bits of other peoples work they read that they learnt to write a good article with.
They are both making money with parts of other peoples work.
It was thought that the LLM wouldn’t keep the actual data internally verbatim. If you can memorize an article, and recite it to everyone free of charge, technically it’s plagiarism. Same if you sing a song to a crowd when you don’t have the rights.
The Google research (and other discovery) proved that you can actually extract verbatim training data from a LLM. Which has a lot of implications for copyright.
Let me ask you this: when have you ever seen ChatGPT cite its sources and give appropriate credit to the original author?
If I were to just read the NYT and make money by simply summarizing articles and posting those summaries on my own website without adding anything to it like my own commentary and without giving credit to the author, that would rightfully be considered plagiarism.
This is a really interesting conundrum though. I would argue that AI isn't capable of original thought the way that humans are and therefore AI creators must provide due compensation to the authors and artists whose data they used.
AI is only giving back some amalgamation of words and concepts that it has been trained on. You might say that humans do the same, but that isn't exactly true. The human brain is a funny thing. It can forget, it can misremember. It can manipulate. It can exaggerate. It can plan. It can have irrational or emotional responses. AI can't really do those things on its own. It's just mimicking human behavior at best.
Most importantly to me though, AI is not capable of spontaneous thought. It is only capable of providing information that it has been trained on and only when prompted.
There is evidence to suggest some LLM's have the ability to produce original outputs, such as DeepMind's solution to the cap set problem.
https://www.nature.com/articles/s41586-023-06924-6
On the other hand LLM's have some incredible text compression abilities
https://arxiv.org/abs/2308.07633
I'm pretty sure there is copyright infringement going on by the letter of the law. But I also think the world would be better off if copyright laws were a bit more loose. Not wild-west anything-goes libertarianism, but more open than the current state.
I tend to agree with your last point, especially because of the way the system has been bastardized over the years. What started out as well intentioned legislation to ensure that authors and artists maintain control over their work has become a contentious and litigious minefield that barely protects creators.
Let me ask you this: when have you ever seen ChatGPT cite its sources and give appropriate credit to the original author?
Bing chat now does that by default. Normally you have to prompt that manually.
If I were to just read the NYT and make money by simply summarizing articles and posting those summaries on my own website without adding anything to it like my own commentary and without giving credit to the author, that would rightfully be considered plagiarism.
No. It would be considered journalism. If you read the news a bit, you will find that they reference the output of other news corporations quite a bit. If your preferred news source does not do that, then they simply don't cite their sources.
Prompting for a source wouldn't satisfy me until I could trust that the AI wasn't hallucinating. After all, if GPT can make up facts about things like legal precedent or well documented events, why would I trust that its citations are legitimate?
And if the suggestion is that the person asking for the information double check the cited sources, maybe that's reasonable to request, but it somewhat defeats the original purpose.
Bing might be doing things differently though, so you might be right in your assessment on that front. I haven't played with their AI yet.
You did ask if ChatGPT had ever sighted sources. Bing uses it and besides, you can ask for that manually.
Whether it defeats the purpose depends on your original purpose.
An AI does not learn like a human does. Therefore the same laws and principles can’t be applied to computer “learning” as can be to human learning.
They’re fundamentally different uses of the material.
The main difference being the volume. An example I like is how Google trained his gaming AI to starcraft 2. This AI was able to beat high ranked professional gamers. It was trained by watching a century of games.
Chatgpt didn't read few articles, it read years of them, maybe a couple of decades.
If this lawsuit causes it to be ILLEGAL to read anything you buy because you could plagiarize it, Bradbury is gonna spin in his fucking grave.
Reminds me of Nokia suing Apple (two waves), Blockbuster suing Netflix, and Yahoo suing Facebook. Threatened, declining company suing a disruptor is what we can expect will always happen I guess. Will be nice to see this stuff finally tested in court though.
Except the news still needs to come from somewhere. While GPT can "create" things, it's not a journalist. It's just the next step in aggregation skimming money from the actual sources.
Anyone remember when Bing started threatening people? https://time.com/6256529/bing-openai-chatgpt-danger-alignment/
Interesting take on mastodon on this in this thread: https://hachyderm.io/@Impossible_PhD/111654403989681220
This person seems not to know very much about what they are talking about, despite their confidence in saying it.
It looks like they think the reason AI output can't be copyrighted is because it's been "ruled a derivative work" but that's not the reasoning provided which is that copyright can only protect human creativity, and thus machine output without human involvement can't be copyrighted - with the judge noting the line of what proportion of human contribution is needed is unclear.
The other suits trying to claim the models are derivative works are either yet to be settled or in some cases have been thrown out.
Even in one of the larger suits on whether training is infringement regarding LLMs, the derivative claim has been thrown out:
Chhabria, in his ruling, called this argument “nonsensical,” adding, “There is no way to understand the LLaMA models themselves as a recasting or adaptation of any of the plaintiffs’ books.”
Additionally, Chhabria threw out the plaintiffs’ argument that every LLaMA output was “an infringing derivative” work and “constitutes an act of vicarious copyright infringement”; that LLaMA was in violation of the Digital Millennium Copyright Act; and that LLaMA “unjustly enriched Meta” and “breached a duty of care ‘to act in a reasonable manner towards others’ by copying the plaintiffs’ books to train LLaMA.”
Social media has really turned into a confirmation bias echo chamber where misinformation can run rampant when people make unsourced broad claims that are successful because they "feel right" even if they aren't.
Perhaps the reason hallucination is such a problem for LLMs is that in the social media data that's a large chunk of their training everyone is so full of shit?
Perhaps the reason hallucination is such a problem for LLMs is that in the social media data that’s a large chunk of their training everyone is so full of shit?
Heh. I think it simply shows us that the fundamental principle of artificial neural nets, really captures how the brain works.
Social media has really turned into a confirmation bias echo chamber where misinformation can run rampant
Honestly this can be easily overstated in the case of social media relative to anything else humanity does. But and large no one knows anything and is happy talking and speculating as they do. It was true before social media and it will be after.
The fun part is trying to make sense of it all, thus why I said “interesting”.
I personally have thought the copyright dimension one of the more interesting aspects of AI in the short and medium term and have thought so for years. Happy to hear takes and opinions on the issue, especially as I’m not plugged into the space any more.
If you want an interesting take from a source that understands both the tech and legal sides for real and not just pretend, see this from the EFF:
https://www.eff.org/deeplinks/2023/04/how-we-think-about-copyright-and-ai-art-0
It's about the diffusion art models and not LLMs, but most of its points still apply (even the point about a stronger case regarding outputs by plaintiffs whose works can be reproduced, such as in this case).
Cheers!
My immediate reaction to the piece is that insofar as it’s trying to predict the path that the courts will take, the author may be too close to the tech while I can imagine judges readily opting to eschew what they’d feel would be excessive technical details in their reasoning. I’m curious to see how true that is.
For me the essential point, made at the end, is what do creators really want from copyright apart from more money … because any infringement case against AI easily spells oppressive copyright law.
I’m curious to see if a dynamic factor in this is how the courts conceive of what the AI actually is and does. The one byte per work argument may come off as naive for instance and lead a judge construct their own model of what’s happening.
Otherwise, the purposes of this thread and the take I posted from mastodon, I’d say the question of whether AI creates copyrightable works and how the broader industries respond to that and what’s legally required of them stands as fundamental in the medium term.
Now curious to see what legal scholarship is predicting, which in some cases probably a better predictor.
Here's the author's bio:
Kit is a senior staff attorney at EFF, working on free speech, net neutrality, copyright, coders' rights, and other issues that relate to freedom of expression and access to knowledge. She has worked for years to support the rights of political protesters, journalists, remix artists, and technologists to agitate for social change and to express themselves through their stories and ideas. Prior to joining EFF, Kit led the civil liberties and patent practice areas at the Cyberlaw Clinic, part of Harvard's Berkman Center for Internet and Society, and previously Kit worked at the law firm of Wolf, Greenfield & Sacks, litigating patent, trademark, and copyright cases in courts across the country.
Kit holds a J.D. from Harvard Law School and a B.S. in neuroscience from MIT, where she studied brain-computer interfaces and designed cyborgs and artificial bacteria.
The author is well aware of the legal side of things.
Oh I’m sure, and it was a good article to be clear. But “the legal side of things”, especially from a certain perspective, and what the courts (and then the legislature) do with a new-ish issue can be different things.
"Kit worked at the law firm of Wolf, Greenfield & Sacks, litigating patent, trademark, and copyright cases in courts across the country. Kit holds a J.D. from Harvard Law School"
The EFF is primarily a legal group and the post straight up mentions that it is a legal opinion on the topic.
So I'm not really clear what "the legal side of things" is that you mean separate from what a lawyer who has litigated IP cases before and works focused on the intersection of law and tech says about a pending case in a legal opinion.
Do you just mean a different opinion from different lawyers?
Yea. Legal opinions vary and legal scholars can have problems, sometimes massive, with what courts and legislators end up doing. “Legal side of things”, in quotes, was intended to convey a cynicism/critique of the idea, belief or even desire some might have (not saying you) for the law to be “settled” and clear.
Ah, well if you want the Columbia Journalism Review has a good summary of the developments and links to various other opinions, particularly in the following paragraph:
According to a recent analysis by Alex Reisner in The Atlantic, the fair-use argument for AI generally rests on two claims: that generative-AI tools do not replicate the books they’ve been trained on but instead produce new works, and that those new works “do not hurt the commercial market for the originals.” Jason Schultz, the director of the Technology Law and Policy Clinic at New York University, told Reisner that there is a strong argument that OpenAI’s work meets both of these criteria. Elsewhere, Sy Damle, a former general counsel at the US Copyright Office, told a House subcommittee earlier this year that he believes the use of copyrighted work for AI training is categorically fair (though another former counsel from the same agency disagreed). And Mike Masnick of Techdirt has argued that the legality of the original material is irrelevant. If a musician were inspired to create new music after hearing pirated songs, Masnick asks, would that mean that the new songs infringe copyright?
(Most of those opinions are linked)
Thanks!
I assume they mean that on topics not thoroughly tested in court, a judge can always make up their own mind based on how they personally feel.
Right, but how would that be reflected in another article ahead of time?