Submitted by Gari_305 t3_z0y0m4 in Futurology
MuNuKia t1_ixb1xv1 wrote
Reply to comment by Fexxvi in This Copyright Lawsuit Could Shape the Future of Generative AI by Gari_305
Programmers are copying other people’s images to build the AI. That’s the underlying issue.
Fexxvi t1_ixbzmbz wrote
No, programmers are using other people's images to teach their AI's, just like you would teach an art student to learn styles and techniques from previous paintings. Once the AI has learned, those images are not stored anywhere in the AI's code.
MuNuKia t1_ixcmn06 wrote
Tell me you know nothing about machine learning, without using the term machine learning.
Fexxvi t1_ixcsoqs wrote
What I explained is literally how AI's work, what do you mean?
MuNuKia t1_ixcvnjp wrote
Machine Learning learning requires a training set to build the model. The models used build artwork is still a byproduct from using copying other people’s work. Also there is no comparison of AI learning and people learning new ideas. AI literally has to use copyrighted work to build the query setup by the user. A person is able to think on their own and create new work.
Fexxvi t1_ixcyagl wrote
AIs learn how other artists paint so they can paint in the same style. That's what literally every art student does and it's not the same as copying.
“AI literally has to use copyrighted work to build the query setup by the user.”
The AI learned from copyrighted material to produce original results with the given prompts, just like anyone can learn from copyrighted material and make paintings in the style of (not exactly like) said material.
MuNuKia t1_ixcyg2h wrote
People can also take inspiration from every other object to build artwork. This machine learning, is only using artwork, so the sample size is much smaller for the machine learning, and that means the machine learning has a limited scope to learn about art.
Fexxvi t1_ixczbrd wrote
So? That doesn't refute my point.
MuNuKia t1_ixczkro wrote
Yes it does. Because the machine learning algorithm is only using copyrighted work, to create an output. A human can look at a tree and use that as inspiration. It’s not that hard to comprehend.
Fexxvi t1_ixd3emf wrote
My original argument was:
“No, programmers are using other people's images to teach their AI's, just like you would teach an art student to learn styles and techniques from previous paintings. Once the AI has learned, those images are not stored anywhere in the AI's code.”
You said it was wrong, yet your comment
“People can also take inspiration from every other object to build artwork. This machine learning, is only using artwork, so the sample size [...]”
doesn't refute said argument. So either say something to refute my argument which, according to you is wrong or stop trying to move the goalposts.
MuNuKia t1_ixd3nyn wrote
Yes it does. You are just showing me you don’t know anything about AI.
Fexxvi t1_ixd48x4 wrote
OK, then. The argument is:
“Programmers are using other people's images to teach their AI's, just like you would teach an art student to learn styles and techniques from previous paintings. Once the AI has learned, those images are not stored anywhere in the AI's code.”
Now refute it.
MuNuKia t1_ixd6l5b wrote
The code in the AI has memory. The memory is updated using the copyrighted works. Then the code will call that memory to build a new image.
Fexxvi t1_ixd6vom wrote
The memory is updated using the copyrighted AI.”? Excuse me? Or do you mean “the memory is updated using copyrighted material ”?
MuNuKia t1_ixd79za wrote
Ya, updated the comment. However, my point stands. The programmer will setup the code to use the computer’s RAM. When then RAM is updated to build the training data, it’s part of the program.
Fexxvi t1_ixd9z7u wrote
I don't understand this. Explain exactly this refutes my point in simple words, please.
MuNuKia t1_ixdarvy wrote
Code takes data. Codes stores data in computer’s memory, code pulls data, to compute the algorithm, based on user input. Algorithm output is the combination of user input and the data used to build the model.
The biggest bottleneck in analytics is memory. That’s why Hadoop is also becoming a big deal, so an analyst can use the memory of multiple computers at the same time. Which means memory and the data used in memory is an aspect of a machine learning program.
Fexxvi t1_ixday6t wrote
OK, I think I got it. How does this disprove my comment again?
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