Another clown dick article by someone who knows fuck all about ai
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To speak of AI models being "made public domain" is to presuppose that the AI models in question are covered by some branch of intellectual property. Has it been established whether AI models (even those trained on properly licensed content) even are covered by some branch of intellectual property in any particular jurisdiction(s)? Or maybe by "public domain" the author means that they should be required to publish the weights and also that they shouldn't get any trade secret protections related to those weights?
Although I'm a firm believer that most AI models should be public domain or open source by default, the premise of "illegally trained LLMs" is flawed. Because there really is no assurance that LLMs currently in use are illegally trained to begin with. These things are still being argued in court, but the AI companies have a pretty good defense in the fact analyzing publicly viewable information is a pretty deep rooted freedom that provides a lot of positives to the world.
The idea of... well, ideas, being copyrightable, should shake the boots of anyone in this discussion. Especially since when the laws on the book around these kinds of things become active topic of change, they rarely shift in the direction of more freedom for the exact people we want to give it to. See: Copyright and Disney.
The underlying technology simply has more than enough good uses that banning it would simply cause it to flourish elsewhere that does not ban it, which means as usual that everyone but the multinational companies lose out. The same would happen with more strict copyright, as only the big companies have the means to build their own models with their own data. The general public is set up for a lose-lose to these companies as it currently stands. By requiring the models to be made available to the public do we ensure that the playing field doesn't tip further into their favor to the point AI technology only exists to benefit them.
If the model is built on the corpus of humanity, then humanity should benefit.
Correct
It's not punishment, LLM do not belong to them, they belong to all of humanity. Tear down the enclosing fences.
This is our common heritage, not OpenAI's private property
"Given they were trained on our data, it makes sense that it should be public commons – that way we all benefit from the processing of our data"
I wonder how many people besides the author of this article are upset solely about the profit-from-copyright-infringement aspect of automated plagiarism and bullshit generation, and thus would be satisfied by the models being made more widely available.
The inherent plagiarism aspect of LLMs seems far more offensive to me than the copyright infringement, but both of those problems pale in comparison to the effects on humanity of masses of people relying on bullshit generators with outputs that are convincingly-plausible-yet-totally-wrong (and/or subtly wrong) far more often than anyone notices.
I liked the author's earlier very-unlikely-to-be-met-demand activism last year better:
...which at least yielded the amusingly misleading headline OpenAI ordered to delete ChatGPT over false death claims (it's technically true - a court didn't order it, but a guy who goes by the name "That One Privacy Guy" while blogging on linkedin did).
They're spitting out propaganda and misinformation mostly from what I can see. If anything, it should get a refund.
-Outside of coding / debugging tasks (and that's hit or miss)
A similar argument can be made about nationalizing corporations which break various laws, betray public trust, etc etc.
I'm not commenting on the virtues of such an approach, but I think it is fair to say that it is unrealistic, especially for countries like the US which fetishize profit at any cost.
Yes, mining companies should all be nationalised for digging up the country's ground and putting carbon in the country's air.
So banks will be public domain when they're bailed out with taxpayer funds, too, right?
They should be, but currently it depends on the type of bailout, I suppose.
For instance, if a bank completely fails and goes under, the FDIC usually is named Receiver of the bank's assets, and now effectively owns the bank.
At the same time, if a bank goes under, that means they owe more than they own, so "ownership" of that entity is basically worthless. In those cases, a bailout of the customers does nothing for the owners, because the owners still get wiped out.
The GM bailout in 2009 also involved wiping out all the shareholders, the government taking ownership of the new company, and the government spinning off the newly issued stock.
AIG required the company basically issue new stock to dilute owners down to 20% of the company, while the government owned the other 80%, and the government made a big profit when they exited that transaction and sold the stock off to the public.
So it's not super unusual. Government can take ownership of companies as a condition of a bailout. What we generally don't necessarily want is the government owning a company long term, because there's some conflict of interest between its role as regulator and its interest as a shareholder.
Public domain wouldn't be the right term for banks being publicly owned. At least for the normal usage of Public Domain in copyright. You can copy text and data, you can't copy a company with unique customers and physical property.
Oh good point. I'm not actually sure what the phrase would be.. Publicly owned?
It won't really do anything though. The model itself is whatever. The training tools, data and resulting generations of weights are where the meat is. Unless you can prove they are using unlicensed data from those three pieces, open sourcing it is kind of moot.
What we need is legislation to stop it from happening in perpetuity. Maybe just ONE civil case win to make them think twice about training on unlicensed data, but they'll drag that out for years until people go broke fighting, or stop giving a shit.
They pulled a very public and out in the open data heist and got away with it. Stopping it from continuously happening is the only way to win here.
Legislation that prohibits publicly-viewable information from being analyzed without permission from the copyright holder would have some pretty dramatic and dire unintended consequences.
They pulled a very pubic and out in the open data heist
Oh no, not the pubes! Get those curlies outta here!
Imaginary property has always been a tricky concept, but the law always ends up just protecting the large corporations at the expense of the people who actually create things. I assume the end result here will be large corporations getting royalties from AI model usage or measures put in place to prevent generating content infringing on their imaginary properties and everyone else can get fucked.
It's like what happened with Spotify. The artists and the labels were unhappy with the copyright infringement of music happening with Napster, Limewire, Kazaa, etc. They wanted the music model to be the same "buy an album from a record store" model that they knew and had worked for decades. But, users liked digital music and not having to buy a whole album for just one song, etc.
Spotify's solution was easy: cut the record labels in. Let them invest and then any profits Spotify generated were shared with them. This made the record labels happy because they got money from their investment, even though their "buy an album" business model was now gone. It was ok for big artists because they had the power to negotiate with the labels and get something out of the deal. But, it absolutely screwed the small artists because now Spotify gives them essentially nothing.
I just hope that the law that nothing created by an LLM is copyrightable proves to be enough of a speed bump to slow things down.
It could also contain non-public domain data, and you can't declare someone else's intellectual property as public domain just like that, otherwise a malicious actor could just train a model with a bunch of misappropriated data, get caught (intentionally or not) and then force all that data into public domain.
Laws are never simple.
Delete them. Wipe their databases. Make the companies start from scratch with new, ethically acquired training data.