Submitted 11 months ago by throws_lemy@lemmy.nz to technology@lemmy.world
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?
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
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.
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 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
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.
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.
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.
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 becuase it’s making an average. Human attraction is highly sensitive to symmetry so this creates that symmerty by thr 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.
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.
Thing is they have the original data aswell to train on, so the machine knows what the average of someone looks like and the average to which they change it so they could in theory have a good grasp of the uncanny valley or at least nó the gap the scale back to am original look.
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? Every image will be scanned 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! en.m.wikipedia.org/wiki/Aphantasia
Even those people who have difficulties with imagining something visually can use AI image generators somehow. As long as they can write and understand what a sentence means, they can use any sentence as a prompt to get a calculated image. You don’t need any artistic talent for creating artificial images. That’s exactly why artists around the world feel their skills are now being devalued by AI generators.
The upside of LLMs 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.
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.
Nurse_Robot@lemmy.world 11 months ago
Surprised no one