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-14 points

This is true but AI is not plagiarism. Claiming it is shows you know absolutely nothing about how it works

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17 points

Correction: they’re plagiarism machines.

I actually took courses in ML at uni, so… Yeah…

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2 points

At the ML course at uni they said verbatime that they are plagiarism machines?

Did they not explain how neural networks start generalizing concepts? Or how abstractions emerge during the training?

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1 point

At the ML course at uni they said verbatime that they are plagiarism machines?

I was refuting your point of me not knowing how these things work. They’re used to obfuscate plagiarism.

Did they not explain how neural networks start generalizing concepts? Or how abstractions emerge during the training?

That’s not the same as being creative, tho.

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-7 points

So did I. Clearly you failed

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11 points

Oh, please tell me how well my time in university was. I’m begging to get information about my academical life from some stranger on the internet. /s

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8 points

Please tell me how an AI model can distinguish between “inspiration” and plagiarism then. I admit I don’t know that much about them but I was under the impression that they just spit out something that it “thinks” is the best match for the prompt based on its training data and thus could not make this distinction in order to actively avoid plagiarism.

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2 points
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Please tell me how an AI model can distinguish between “inspiration” and plagiarism then.

[…] they just spit out something that it “thinks” is the best match for the prompt based on its training data and thus could not make this distinction in order to actively avoid plagiarism.

I’m not entirely sure what the argument is here. Artists don’t scour the internet for any image that looks like their own drawings to avoid plagiarism, and often use photos or the artwork of others as reference, but that doesn’t mean they’re plagiarizing.

Plagiarism is about passing off someone else’s work as your own, and image-generation models are trained with the intent to generalize - that is, being able to generate things it’s never seen before, not just copy, which is why we’re able to create an image of an astronaut riding a horse even though that’s something the model obviously would’ve never seen, and why we’re able to teach the models new concepts with methods like textual inversion or Dreambooth.

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3 points

Both the astronaut and horse are plagiarised from different sources, it’s definitely “seen” both before

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1 point

I get your point, but as soon as you ask them to draw something that has been drawn before, all the AI models I fiddled with tend to effectively plagiarize the hell out of their training data unless you jump through hoops to tell them not to

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-5 points

Go read about latent diffusion

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7 points

In what way is latent diffusion creative?

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