this post was submitted on 22 Dec 2024
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It's all made from our data, anyway, so it should be ours to use as we want

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[–] [email protected] 1 points 19 hours ago (3 children)

By this logic, you can copy a copyrighted imege as long as you decrease the resolution, because the new image does not contain all the information in the original one.

[–] [email protected] 3 points 15 hours ago (1 children)

Am I allowed to take a copyrighted image, decrease its size to 1x1 pixels and publish it? What about 2x2?

It's very much not clear when a modification violates copyright because copyright is extremely vague to begin with.

[–] [email protected] 2 points 10 hours ago (1 children)

Just because something is defined legally instead of technologically, that doesn't make it vague. The modification violates copyright when the result is a derivative work; no more, no less.

[–] [email protected] 1 points 6 hours ago

What is a derivative work though? That's again extremely vague and has been subject to countless lawsuits seeking to determine the bounds.

[–] [email protected] 2 points 17 hours ago

More like reduce it to a handful of vectors that get merged with other vectors.

[–] [email protected] 0 points 16 hours ago (1 children)

In the case of Stable Diffusion, they used 5 billion images to train a model 1.83 gigabytes in size. So if you reduce a copyrighted image to 3 bits (not bytes - bits), then yeah, I think you're probably pretty safe.

[–] [email protected] 1 points 4 hours ago (1 children)

Your calculation is assuming that the input images are statistically independent, which is certainly not the case (otherwise the model would be useless for generating new images)

[–] [email protected] 1 points 2 hours ago

Of course it's silly. Of course the images are not statistically independent, that's the point. There are still people to this day who claim that stable diffusion and its ilk are producing "collages" of their training images, please tell this to them.

The way that these models work is by learning patterns from their training material. They learn styles, shapes, meanings. None of those things are covered by copyright.