Your very first statement calling my basis for my argument incorrect is incorrect lol.
LLMs “learn” things from the content they consume. They don’t just take the content in wholesale and keep it there to regurgitate on command.
On your last part, unless someone uses AI to recreate the tone etc of a best selling author *and then markets their book/writing as being from said best selling author, and doesn’t use trademarked characters etc, there’s no issue. You can’t copyright a style of writing.
AI can “learn” from and “read” a book in the same way a person can and does
The emphasized part is incorrect. It’s not the same, yet your argument seems to be that because (your claim) it is the same, then it’s no different from a human reading all of these books.
Regarding your last point, copyright law doesn’t just kick in because you try to pass something off as an original (by, for ex, marketing a book as being from a best selling author). It applies based on similarity whether you mention the original author or not.
If what you are saying is true, why were these ‘AI’s” incapable of rendering a full wine glass? It ‘knows’ the concept of a full glass of water, but because of humanities social pressures, a full wine glass being the epitome of gluttony, art work did not depict a full wine glass, no matter how ai prompters demanded, it was unable to link the concepts until it was literally created for it to regurgitate it out. It seems ‘AI’ doesn’t really learn, but regurgitates art out in collages of taken assets, smoothed over at the seams.
“it was unable to link the concepts until it was literally created for it to regurgitate it out“
-WraithGear
The’ problem was solved before their patch. But the article just said that the model is changed by running it through a post check. Just like what deep seek does. It does not talk about the fundamental flaw in how it creates, they assert if does, like they always did
I don’t see what distinction you’re trying to draw here. It previously had trouble generating full glasses of wine, they made some changes, now it can. As a result, AIs are capable of generating an image of a full wine glass.
This is just another goalpost that’s been blown past, like the “AI will never be able to draw hands correctly” thing that was so popular back in the day. Now AIs are quite good at drawing hands, and so new “but they can’t do X!” Standards have been invented. I see no fundamental reason why any of those standards won’t ultimately be surpassed.
I specifically said that the AI was unable to do it until someone specifically made a reference so that it could start passing the test so it’s a little bit late to prove much.
The concept of a glass being full and of a liquid being wine can probably be separated fairly well. I assume that as models got more complex they started being able to do this more.
You mean when the training data becomes more complete. But that’s the thing, when this issue was being tested, the’AI’ would swear up and down that the normally filled wine glasses were full, when it was pointed out that it was not indeed full, the ‘AI’ would agree, and change some other aspect of the picture it didn’t fully understand. You got wine glasses where the wine would half phase out of the bounds of the cup. And yet still be just as empty. No amount of additional checks will help without an appropriate reference
I use ‘AI’ extensively, i have one running locally on my computer, i swap out from time to time. I don’t have anything against its use with certain exceptions. But i can not stand people personifying it beyond its scope
Here is a good example. I am working on an APP so every once in a wile i will send it code to check. But i have to be very careful. The code it spits out will be unoptimized like: variable1=IF (variable2 IS true, true, false) .
Some have issues with object permanence, or the consideration of time outside its training data. Its like saying a computer can generate a true random number, by making the function to calculate a number more convoluted.
Your very first statement calling my basis for my argument incorrect is incorrect lol.
LLMs “learn” things from the content they consume. They don’t just take the content in wholesale and keep it there to regurgitate on command.
On your last part, unless someone uses AI to recreate the tone etc of a best selling author *and then markets their book/writing as being from said best selling author, and doesn’t use trademarked characters etc, there’s no issue. You can’t copyright a style of writing.
I’ll repeat what you said with emphasis:
The emphasized part is incorrect. It’s not the same, yet your argument seems to be that because (your claim) it is the same, then it’s no different from a human reading all of these books.
Regarding your last point, copyright law doesn’t just kick in because you try to pass something off as an original (by, for ex, marketing a book as being from a best selling author). It applies based on similarity whether you mention the original author or not.
If what you are saying is true, why were these ‘AI’s” incapable of rendering a full wine glass? It ‘knows’ the concept of a full glass of water, but because of humanities social pressures, a full wine glass being the epitome of gluttony, art work did not depict a full wine glass, no matter how ai prompters demanded, it was unable to link the concepts until it was literally created for it to regurgitate it out. It seems ‘AI’ doesn’t really learn, but regurgitates art out in collages of taken assets, smoothed over at the seams.
AIs are capable of generating an image of a full wine glass.
“it was unable to link the concepts until it was literally created for it to regurgitate it out“
-WraithGear
The’ problem was solved before their patch. But the article just said that the model is changed by running it through a post check. Just like what deep seek does. It does not talk about the fundamental flaw in how it creates, they assert if does, like they always did
I don’t see what distinction you’re trying to draw here. It previously had trouble generating full glasses of wine, they made some changes, now it can. As a result, AIs are capable of generating an image of a full wine glass.
This is just another goalpost that’s been blown past, like the “AI will never be able to draw hands correctly” thing that was so popular back in the day. Now AIs are quite good at drawing hands, and so new “but they can’t do X!” Standards have been invented. I see no fundamental reason why any of those standards won’t ultimately be surpassed.
Copilot did it just fine
1 it’s not full, but closer then it was.
The concept of a glass being full and of a liquid being wine can probably be separated fairly well. I assume that as models got more complex they started being able to do this more.
You mean when the training data becomes more complete. But that’s the thing, when this issue was being tested, the’AI’ would swear up and down that the normally filled wine glasses were full, when it was pointed out that it was not indeed full, the ‘AI’ would agree, and change some other aspect of the picture it didn’t fully understand. You got wine glasses where the wine would half phase out of the bounds of the cup. And yet still be just as empty. No amount of additional checks will help without an appropriate reference
I use ‘AI’ extensively, i have one running locally on my computer, i swap out from time to time. I don’t have anything against its use with certain exceptions. But i can not stand people personifying it beyond its scope
Here is a good example. I am working on an APP so every once in a wile i will send it code to check. But i have to be very careful. The code it spits out will be unoptimized like: variable1=IF (variable2 IS true, true, false) .
Some have issues with object permanence, or the consideration of time outside its training data. Its like saying a computer can generate a true random number, by making the function to calculate a number more convoluted.
Bro are you a robot yourself? Does that look like a glass full of wine?
If someone ask for a glass of water you don’t fill it all the way to the edge. This is way overfull compared to what you’re supposed to serve.