The joke is of course that “paying for copyright” is impossible in this case. ONLY the large social media companies that own all the comments and content that has accumulated by the community have enough data to train AI models. Or sites like stock photo libraries or deviantart who own the distribution rights for the content. That means all copyright arguments practically argue that AI should be owned by big corporations and should be inaccessible to normal people.
Basically the “means of generation” will be owned by the capitalists, since they are the only ones with the economic power to license these things.
That is basically the worst case scenario. Not only will the value of work diminish greatly, the advances in productivity will also be only accessible to big capitalists.
Of course, that is basically inevitable anyway. Why wouldn’t they want this? It’s just sad seeing the stupid morons arguing for this as if they had anything to gain.
I’m getting really tired of saying this over and over on the Internet and getting either ignored or pounced on by pompous AI bros and boomers, but this “there isn’t enough free data” claim has never been tested. The experiments that have come close (look up the early Phi and Starcoder papers, or the CommonCanvas text-to-image model) suggested that the claim is false, by showing that a) models trained on small, well-curated datasets can match and outperform models trained on lazily curated large web scrapes, and b) models trained solely on permissively licensed data can perform on par with at least the earlier versions of models trained more lazily (e.g. StarCoder 1.5 performing on par with Code-Davinci). But yes, a social network or other organization that has access to a bunch of data that they own, or have licensed, could almost certainly fine-tune a base LLM trained solely on permissively licensed data to get a tremendously useful tool that would probably be safer and more helpful than ChatGPT for that organization’s specific business, at vastly lower risk of copyright claims or toxic generated content, for that matter.
Thanks for the info. But lets say you want to train a (future) AI to spot and tag disinformation and misinformation. You’d need to use and curate actual data from social media sites and articles.
If copyright is extended to learning from and analyzing publicly available data, such an AI will only be possible by licensing that data. Which will be monetize to maximize profit, first some lump sum, then later “per gb” and then later “per use”.
I’m sure open source AI will make due and for many applications there is enough free data, but I can imagine a lot of cases where there wont. Anything that requires “commercially successful” media, articles, newspapers, screenplays, movies, books, social media posts and comments, images, photos, video clips…
We’re basically setting up a world where the intellectual wealth of our civilization is being transformed into a commodity and then will be transferred into the hands of a few rich capitalists.
And even if there is acceptable amount of free data, if the principle is that data needs to be specifically licensed to learn and train and derive AI works from it - that makes free data use expensive too. It needs to be specifically vetted and is still vulnerable to be sued for mistakes or outrageous claims of copyright. Similar to patents, the uncertainty requires higher capitalization for any startup to defend against lawsuits.
Yeah, I’ve struggled with that myself, since my first AI detection model was technically trained on potentially non-free data scraped from Reddit image links. The more recent fine-tune of that used only Wikimedia and SDXL outputs, but because it was seeded with the earlier base model, I ultimately decided to apply a non-commercial CC license to the checkpoint. But here’s an important distinction: that model, like many of the use cases you mention, is non-generative; you can’t coerce it into reproducing any of the original training material–it’s just a classification tool. I personally rate those models as much fairer uses of copyrighted material, though perhaps no better in terms of harm from a data dignity or bias propagation standpoint.
It's just sad seeing the stupid morons arguing for this as if they had anything to gain.
The real money shot here... How did we get to a point where people will argue against common working slave good?
There is a pattern too... Iraq, Afghanistan, israeli genocide, bailouts. Anytime there is money to be made for the regime, we got solid 30% of population working as hard for zealots.
Them 2 decades later when the two wars failed, we can't find a single guy who support either war around 🤡
The same is somehow now shilling we "shouldn't invafe ukraine but Israeli needs tools to defend themselves"
They aren’t saying it’s the first electric train, they are saying it’s the first all electric “Giga Train”.
It’s like how Bros kept trying to imply it was the first gay movie, or even first gay romcom, but it was the first gay romcom that was created and released by a major studio who’s initial release was a “wide” release in more than one country.
Ok I know when people say gay like that they mean gay male, but D.E.B.S. is one of the greatest queer movies ever made and is a romcom between two women. But it like many other classic queer movies wasn’t a major studio or anything
I had quite a bit of fun with it for a few weekends with my friends, but ultimately the lack of a system for mechanical progression left it feeling a bit shallow (ha!). As a primarily PvE game with light PvP it’s in a weird place where it doesn’t have quite enough RPG-like elements to hold my interest on the PvE side, or enough player-on-player combat to make it a gripping contest of skill.
It’s still a fun game to hop into from time to time, but it’s never been appointment gaming for me
At first, I thought this was a screenshot from Lemmy and thought what the hell. Then I saw that it’s Reddit and all my questions got answered. ¯_(ツ)_/¯
I just picked up the latest version of “Copying and Pasting”. This edition discusses copying and pasting from various AIs. Looking forward to digging in
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”.
On the other hand, it’s hard to have a serious discussion with people who insist that building a LLM or diffusion model amounts to copying pieces of material into an obfuscated database. And then having to deal with the typical reply after explanation is attempted of “that isn’t the point!” but without any elaboration strongly implies to me that some people just want to be pissy and don’t want to hear how they may have been manipulated into taking a pro-corporate, hyper-capitalist position on something.
I love that the collectivist ideal of sharing all that we’ve created for the betterment of humanity is being twisted into this disgusting display of corporate greed and overreach. OpenAI doesn’t need shit. They don’t have an inherent right to exist but must constantly make the case for it’s existence.
The bottom line is that if corporations need data that they themselves cannot create in order to build and sell a service then they must pay for it. One way or another.
I see this all as parallels with how aquifers and water rights have been handled and I’d argue we’ve fucked that up as well.
They do, though. They purchase data sets from people with licenses, use open source data sets, and/or scrape publicly available data themselves. Worst case they could download pirated data sets, but that’s copyright infringement committed by the entity distributing the data without the legal authority.
Beyond that, copyright doesn’t protect the work from being used to create something else, as long as you’re not distributing significant portions of it. Movie and book reviewers won that legal battle long ago.
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