Comment on The Irony of 'You Wouldn't Download a Car' Making a Comeback in AI Debates
LarmyOfLone@lemm.ee 1 week ago
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.
mm_maybe@sh.itjust.works 1 week ago
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.
LarmyOfLone@lemm.ee 1 week ago
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.
mm_maybe@sh.itjust.works 1 week ago
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.
LarmyOfLone@lemm.ee 1 week ago
I just want a holodeck future without having to pay by the hour to DisneComBroSonyFlixMount.