They are not “analyzing” the data. They are feeding it into a regurgitating mechanism. There’s a big difference. Their defense is only “good” because AI is being misrepresented and misunderstood.
I really kind of hope you’re kidding here. Because this has got to be the most roundabout way of saying they’re analyzing the information. Just because you think it does so to regurgitate (which I have yet to see any good evidence for, at least for the larger models), does not change the definition of analyzing. And by doing so you are misrepresenting it and showing you might just have misunderstood it, which is ironic. And doing so does not help the cause of anyone who wishes to reduce the harm from AI, as you are literally giving ammo to people to point to and say you are being irrational about it.
Yes if you completely ignore how data is processed and how the product is derived from the data, then everything can be labeled “data analysis”. Great point. So copyright infringement can never exist because the original work can always be considered data that you analyze. Incredible.
No, not what I said at all. If you’re trying to say I’m making this argument I’d urge you (ironically) to actually analyze what I said rather than putting words in my mouth ;) (Or just, you know, ask me to clarify)
Copyright infringement (or plagiarism) in it’s simplest form, as in just taking the material as is, is devoid of any analysis. The point is to avoid having to do that analysis and just get right to the end result that has value.
But that’s not what AI technology does. None of the material used to train it ends up in the model. It looks at the training data and extracts patterns. For text, that is the sentence structure, the likelihood of words being followed by another, the paragraph/line length, the relationship between words when used together, and more. It can do all of this without even ‘knowing’ what these things are, because they are simply patterns that show up in large amounts of data, and machine learning as a technology is made to be able to detect and extract those patterns. That detection is synonymous with how humans do analysis. What it detects are empirical, factual observations about the material it is shown, which cannot be copyrighted.
The resulting data when fed back to the AI can be used to have it extrapolate on incomplete data, which it could not do without such analysis. You can see this quite easily by asking an AI to refer to you by a specific name, or talk in a specific manner, such as a pirate. It ‘understands’ that certain words are placeholders for names, and that text can be ‘pirateitfied’ by adding filler words or pre/suffixing other words. It could not do so without analysis, unless that exact text was already in the data to begin with, which is doubtful.
No, not what I said at all. If you’re trying to say I’m making this argument I’d urge you (ironically) to actually analyze what I said rather than putting words in my mouth ;) (Or just, you know, ask me to clarify)
That was your implied argument regardless of intent.
Copyright infringement (or plagiarism) in it’s simplest form, as in just taking the material as is, is devoid of any analysis. The point is to avoid having to do that analysis and just get right to the end result that has value.
Completely wrong, which invalidates the point you want to make. “Analysis” and “as is” have no place in the definition of copyright infringement. A derivative work can be very different from the original material, and how you created the derivative work, including whether you performed whatever you think “analysis” means, is generally irrelevant.
What it detects are empirical, factual observations about the material it is shown, which cannot be copyrighted.
No it detects patterns. You already said it correctly above. And the problem is that some patterns can be copyrighted. That’s exactly the problem highlighted here and here. For copyright law, it doesn’t matter if, for example, that particular image of Mario is copied verbatim from the training data. The character likeness, which is encoded in the model because it is in fact a discernible pattern, is an infringement.
I really kind of hope you’re kidding here. Because this has got to be the most roundabout way of saying they’re analyzing the information. Just because you think it does so to regurgitate (which I have yet to see any good evidence for, at least for the larger models), does not change the definition of analyzing. And by doing so you are misrepresenting it and showing you might just have misunderstood it, which is ironic. And doing so does not help the cause of anyone who wishes to reduce the harm from AI, as you are literally giving ammo to people to point to and say you are being irrational about it.
Yes if you completely ignore how data is processed and how the product is derived from the data, then everything can be labeled “data analysis”. Great point. So copyright infringement can never exist because the original work can always be considered data that you analyze. Incredible.
No, not what I said at all. If you’re trying to say I’m making this argument I’d urge you (ironically) to actually analyze what I said rather than putting words in my mouth ;) (Or just, you know, ask me to clarify)
Copyright infringement (or plagiarism) in it’s simplest form, as in just taking the material as is, is devoid of any analysis. The point is to avoid having to do that analysis and just get right to the end result that has value.
But that’s not what AI technology does. None of the material used to train it ends up in the model. It looks at the training data and extracts patterns. For text, that is the sentence structure, the likelihood of words being followed by another, the paragraph/line length, the relationship between words when used together, and more. It can do all of this without even ‘knowing’ what these things are, because they are simply patterns that show up in large amounts of data, and machine learning as a technology is made to be able to detect and extract those patterns. That detection is synonymous with how humans do analysis. What it detects are empirical, factual observations about the material it is shown, which cannot be copyrighted.
The resulting data when fed back to the AI can be used to have it extrapolate on incomplete data, which it could not do without such analysis. You can see this quite easily by asking an AI to refer to you by a specific name, or talk in a specific manner, such as a pirate. It ‘understands’ that certain words are placeholders for names, and that text can be ‘pirateitfied’ by adding filler words or pre/suffixing other words. It could not do so without analysis, unless that exact text was already in the data to begin with, which is doubtful.
That was your implied argument regardless of intent.
Completely wrong, which invalidates the point you want to make. “Analysis” and “as is” have no place in the definition of copyright infringement. A derivative work can be very different from the original material, and how you created the derivative work, including whether you performed whatever you think “analysis” means, is generally irrelevant.
No it detects patterns. You already said it correctly above. And the problem is that some patterns can be copyrighted. That’s exactly the problem highlighted here and here. For copyright law, it doesn’t matter if, for example, that particular image of Mario is copied verbatim from the training data. The character likeness, which is encoded in the model because it is in fact a discernible pattern, is an infringement.