Nevermind paying for content; AI firms should be required to abide by the terms of copyleft-licensed training data. In other words, all output of an AI trained on even a dataset containing even a single copyleft work should be required to be copyleft itself.
Yeah that won't work. Any country that lets their companies use whatever data will flat out have better models. Potentially meaning grater economic output of the whole country if ai is as big as i think. Unfortunate but i don't see an alternative yet unless they make it so you can use amy data but models have to be free
Doesn't that argument apply to any instance of ignoring intellectual property. Books, records and movies will also be cheaper in countries that let companies do what they want. Medicine would be more accessible, ignoring patients will greatly accelerate innovation in countries where permitted...
Respect your opinion and where you're coming from, but disagree simply for the fact that this will create a silo of corporatized AI because they will be the only ones who will have the ability to pay for the IP at the necessary scale (that's not to say that this is not already happening to an extent with the existing model). I do think the conversation is worth having though about the public value of data that's readily available on the internet and how it squares with our (imo) outdated IP laws. How do we ensure that individual creators retain full control and benefit of their art/content/knowledge, while not stifling or unduly hampering AI research? How much protection do we afford data that users willingly put on the internet that's publicly available? And who pays for the data in the chain?
Should human programmers have to pay creators every time they look at code while they're learning? I (and most people) have literally copy/pasted code from various websites into my own programs without any sort of payment or notice.
You don't have to pay the rightsholder if your hired human reads various newspapers in order to learn how to write. Or at least no more than a single person's subscription fee to said content.
So why the hell should you have to pay more to train an AI model on the same content?
It's faster than a human? So what? Why does that entitle you to more money? There are fast and slow humans already, and we don't charge them differently for access to copyright material.
The tool that's being created is used by more than one human/organization? So what? Freelance journalists write for many publications after having learned on your material. You aren't charging them a license fee for every org they write for.
That being said, this is one of those turning points in the world where it doesn't matter what the results of these lawsuits are, this technology is going to use copyrighted material whether it's licensed or not. Companies will just need to adapt to the new reality.
OpenAI and other large companies are the target right now, but the much smaller open source generative AI models are catching up fast, and there's no way to stop individuals using copyright material to train or personalize their AI, currently it's processing intensive to train, but it's already dropped in price by orders of magnitude, and it's going to keep getting cheaper as computing hardware gets better.
If all you see is the article written by Joe Guy, and it's a good article with useful information, you can't prove that Joe even used a tool most of the time, let alone that the tool was trained on a specific piece of copyrighted material, especially if everyone's training for their AI is a little bit different. Unless it straight up plagiarizes, no court is going to convict Joe. Avoiding direct plagiarism is as easy as having a plagiarism tool double check against the original training material.
I'm not actually sure you're accurate with your statement. Prior to copyright law being introduced, everything was free use.
These days, anything a human produces immediately becomes copyrighted. Every post you make, every podcast you record, every doodle on a napkin, every instagram post, every speech you deliver...
You actually have to intentionally license it for free use, which almost nobody does.
If Ais were capable of invention and creation, I might agree. But they aren't. They regurgitate what they are modeled on.
We don't teach AIs, they don't learn, there's no university, there's no fundamentals. We just have models that reproject. They take the training data, mix it all up, and then project it out again.
There is use to that, but gpt isn't a child. It can not learn, comprehend, or understand. It's a tool, and as a tool, it depends heavily on the work created by others.
You couldn't even make your comment right now if a teacher hadn't taught you english, you couldn't have typed it if engineers hadn't created computers and keyboards, you couldn't have posted it without network technicians who setup and run the internet...
The modern world is literally the combined work of billions of humans.
The New York Times recently sued OpenAI, accusing the startup of unlawfully scraping "millions of [its] copyrighted news articles, in-depth investigations, opinion pieces, reviews, how-to guides and more."
Danielle Coffey, CEO of the News/Media Alliance trade association, noted that chatbots designed to crawl the web and act like a search engine, like Microsoft Bing or Perplexity, can summarize articles too.
Readers could ask them to extract and condense information from news reports, meaning there would be less incentive for people to visit publishers' sites, leading to a loss of traffic and ad revenue.
Jeff Jarvis, who recently retired from the City University of New York's Newmark Graduate School of Journalism, is against licensing for all uses and was afraid it could set precedents that would affect journalists and small, open source companies competing with Big Tech.
Revealing their sources might make their AI tools look bad too, considering the amount of inappropriate text their models have ingested, including people's personal information and toxic or NSFW content.
"The notion that the tech industry is saying that it's too complicated to license from such an array of content owners doesn't stand up," said Curtis LeGeyt, president and CEO of the National Association of Broadcasters.
The original article contains 877 words, the summary contains 202 words. Saved 77%. I'm a bot and I'm open source!