- cross-posted to:
- hackernews@derp.foo
- cross-posted to:
- hackernews@derp.foo
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Surprised no one
So I assume they added any necessary stuff to the TOS to allow this.
My question is if there’s any legal mechanism to prevent this on other platforms? Pixelfed for example.
Companies will likely federate and pull images regardless, but can we go after them when they’re caught? Nothing prevents them from taking the images for internal R&D, but at least we can stop them from selling products with that training data
So I assume they added any necessary stuff to the TOS to allow this.
Never read it but I assume it already was. Pretty much every platform has a clause that says something along the lines of “we own all the content you submit to our service”.
Actually it’s usually more “you own the content but by posting it grant is an irrevocable right for us and our partners to use it”
Basically allows them use without the responsibility for ownership of inappropriate content
Exactly. Instagram doesn’t claim ownership to any of your content, but Instagram’s terms of use state that the user grants Instagram a non-exclusive, fully paid, and royalty-free, transferable, sub-licensable, worldwide license to use their content. Additionally, they can make money off your content without ever paying you a cut. Honestly, it’s pretty boiler plate at this point. No one should expect anything else from corporations.
My question is if there’s any legal mechanism to prevent this on other platforms? Pixelfed for example.
Good question!
I’ve been saying for a while that the fediverse is blind to this issue as everything here is completely scrapable through either the public web or by running federated servers. On top of that, being culturally inclined toward more “serious” conversation and providing content warnings and alt-text for images, we’re probably generating relatively valuable training data.
And yet everything is public as though it’s still 2012.
There are alternatives. BlueSky for instance is basically private to members only. They recently announced that content would be made public to the web and a number of users were upset.
Group chats and Discord servers are probably similar, and from what I can tell “new” popular places for social activity online.
A major issue the fediverse has, IMO, is that it’s kinda stuck trying to fight Twitter and Facebook circa 2012, when that battle was lost and we’re on to new battle fronts now.
Yea that’s something that’s been on my mind as well
There are benefits from that openness and verifiability in public spaces (ex. Lemmy communities), since now it’s easier to determine if there’s vote manipulation or astroturfing. But I think the fediverse needs a lot of work around privacy, and also education about what is/isn’t private on these platforms.
There should also be more of a focus on setting up a legal requirement on what can be done with the information, but I’m not sure if that’s a thing just yet. We developed GPLv3 to make sure FOSS products can’t be incorporated for profit, but I’m not sure how it would work for data.
ex. It should be easy to save, record, and share posts on the fediverse, such as with embeds/screenshots/news stories
But also we want to prevent abuse, misuse, and AI training
afaik activitypub/fediverse doesn’t have to be fully open… there’s private messages and followers only profiles on mastodon… sure, any server admins of your followed would be able to see anything you post (and thus in this case for threads for example, if you accept any follower from threads then meta can see your stuff) but this also doesn’t grant them a license to use the content
also, bluesky will eventually be the same: it only doesn’t have those issues now because they haven’t opened up their software… it’ll have federation in the future, which means it has to be somewhat programmatically open to others
I think in order to fight against these composite using our data for AI training we souks have to do something like watermarking our images explicitly stating that they are not for AI training. Or we create some type of counter measure that messes up the training.
You’re never going to get rights over the training data your pictures that are freely available for anything to scan creates. By being on the internet your pictures basically have the right to be viewed by anyone or anything even an AI. You have never gotten to control who looks at your content after you post it.
You’re trying to make the same argument the “don’t copy my nft” bros tried to make.
Imagine going into court and saying you should get paid for all the stuff u gave away for free on the Internet willingly.
Well there’s a difference between “don’t look at my work without paying me, even if it’s posted publicly” and “don’t sell my work without paying me, even if it’s posted publicly”
Like I said, there’s nothing we can do about companies using all the data they can get their hands on for private R&D. It IS possible to protect against the second case, where companies can’t sell an LLM product with copyrighted training data.
My question was about how that second case could be extended to stuff posted on the Fediverse, such as if an instance had a blanket “all rights belong to the user posting the content”.
These laws exist, if companies can use them then so can we
where companies can’t sell an LLM product with copyrighted training data.
If an artist learns their technique from copying other artists until they are competent enough to produce their own original works, should they be banned from selling their original work or services? After all, they used copyrighted training data to gain the skills needed to produce said work and services.
LLMS and Generative AI do not learn like humans and regulating it the same would be disingenuous and completely off base.
That ought to satisfy all those who wanted “consent” for training data.
I wonder how they worked around user violations of copyright… Imagine all the content uploaded to Instagram/Facebook that the poster didn’t create but simply uploaded their download/screenshot.
That shouldn’t be an issue. If you look at an unauthorized image copy, you’re not usually on the hook (unless you are intentionally pirating). It’s unlikely that they needed to get explicit “consent” (ie license the images) in the first place.
Yeah but is it the same thing for a human to view data and an AI model to be trained on it? Not in my opinion as an AI doesn’t understand the concept of intellectual property and just spits out the most likely next word whereas a person can recognize when they are copying something.
I understand. The idea would be to hold AI makers liable for contributory infringement, reminiscent of the Betamax case.
I don’t think that would work in court. The argument is much weaker here than in the Betamax case, and even then it didn’t convince. But yes, it’s prudent to get the explicit permission, just in case of a case.
Doesn’t really seem the similar to me at all. One is a thing that’s actively making new content. Another is a machine with the purpose of time-shifting broadcasted content that’s already been paid for.
It’s reminiscent insofar as personal AI models on individual machines would go, but completely different as for corporate and monetizable usage.
Like if somebody sold you an AI box that you had to train yourself that would be reminiscent of the betamax case.
Yes, if it’s new content, it’s obviously no copy; so no copyvio (unless derivative, like fan fiction, etc.). I was thinking of memorized training data being regurgitated.
Yeah I just think that ingesting a bucnh of novels and rearranging their contents into a new piece of work (for example) is still copyright infringement. It doesn’t need to be the Lord of the Rings or Star Wars word for word to get copyright stricken. Similar to how in the music sphere it doesn’t need to be the same exact melody.
Edit: Glad you down voted instead of responding. Really shows the strength of your argument…
Is there an example of AI generated images that aren’t hyper realistic or have perfect bokeh? I’m taking about an out of focus shot or the subject looks like a regular slob like you and I?
It’s mostly bias in the training data. Most people aren’t posting mediocre images of themselves online so models rarely see that. Most are also finetuned to specifically avoid outputting that kind of stuff because people don’t want it.
Out of focus is easy for most base models but getting an average looking person is harder.
I would usually try to add things to the prompt you’d expect to find in a more casual scenario, like “smartphone” with half weight or something, or “video”, or maybe like “Facebook”. Just meta information you think attaches to more casual photos. Maybe even add “photo”.
you can do that with stable diffusion and loras, yes
Loras are amazing. You can do anything or create anyone.
On the focus part, I’ve seen some impressive results from people who input a specific camera, lens, and focal distance.
I assumed this was because it’s making an average. Human attraction is highly sensitive to symmetry so this creates that symmerty by the way it works.
The models are deliberately engineered to create “good” images, just like cameras get autofocus, anti-shake and stuff. There are many tools that will auto-prettify people, not so many for the reverse.
There are enough imperfect images around for the model to know what that looks like.
All this AI photo generation is leading me to think that all imagery is going to be essentially meaningless. Is it real? Is it fake? Did a bot make it, or a human? As this tech continues to grow, i will be studying every image i come across while i ask myself those questions subconsciously.
I mean on one hand, you can “see” almost anything you can type out descriptively enough. Pretty neat! But now virtually anything can be “seen” which includes things that shouldn’t be this easy to show. I’m thinking propaganda, deepfakes, blatantly making up fake news with imagery and video to back it all up. I guess we were always headed in this direction one way or another.
you can ‘see’ almost anything you can type out descriptively enough
A significant fraction of the population can’t! https://en.m.wikipedia.org/wiki/Aphantasia
The upside of generative AI better be no less than an end to toil because in the short run, they’re going to ruin the internet and prompt several genocides.
Considering most of the people on Instagram don’t even look like the photos of “themselves” that they post on Instagram, this might be an uncanny valley image generator.
Deviantart has already done this since the AI image hype train first started. Every picture by default is selected as material for AI training; pictures have to be manually deselected by the user to be excluded. And of course it’s a nightmare for those with tons of art submissions.
Facebook/Instagram may end up having to something like that in the future but I doubt it until someone higher up does something about it.
This is the best summary I could come up with:
Previously, Meta’s version of this technology—using the same data—was only available in messaging and social networking apps such as Instagram.
Images include a small “Imagined with AI” watermark logo in the lower left-hand corner.
We put Meta’s new AI image generator through a battery of low-stakes informal tests using our “Barbarian with a CRT” and “Cat with a beer” image synthesis protocol and found aesthetically novel results, as you can see above.
(As an aside, when generating images of people with Emu, we noticed many looked like typical Instagram fashion posts.)
The generator appears to filter out most violence, curse words, sexual topics, and the names of celebrities and historical figures (no Abraham Lincoln, sadly), but it allows commercial characters like Elmo (yes, even “with a knife”) and Mickey Mouse (though not with a machine gun).
It doesn’t seem to do text rendering well at all, and it handles different media outputs like watercolors, embroidery, and pen-and-ink with mixed results.
The original article contains 513 words, the summary contains 160 words. Saved 69%. I’m a bot and I’m open source!
I wonder if they’d release the weights and training/inferencing code. They did it for LLaMA.
There’s been a lot of open source alternatives to Stable Diffusion lately and it’s great.
