They aren’t photos. They’re photorealistic drawings done by computer algorithms. This might seem like a tiny quibble to many, but as far as I can tell it is the crux of the entire issue.
most phone cameras alter the original image with AI shit now, it’s really common, they apply all kinds of weird correction to make it look better. Plus if it’s social media there’s probably a filter somewhere in there. At what point does this become the ship of thesseus?
my point here, is that if we’re arguing that AI images are semantically, not photos, than most photos on the internet including people would also arguably, not be photos to some degree.
The difference is that a manipulated photo starts with a photo. It actually contains recorded information about the subject. Deepfakes do not contain any recorded information about the subject unless that subject is also in the training set.
Yes it is semantics, it’s the reason why we have different words for photography and drawing and they are not interchangeable.
The deepfakes would contain the prompt image provided by the creator. They did not create a whole new approximation of their face as the entire pool it can pull on for that specific part is a single or group of images provided by the prompter.
Deepfakes do not contain any recorded information about the subject unless that subject is also in the training set.
this is explicitly, untrue, they literally do. You are just factually wrong about this. While it may not be in the training data, how do you think it manages to replace the face of someone in one picture, with the face of someone else in some other video.
Do you think it just magically guesses? No, it literally uses a real picture of someone. In fact, back in the day with ganimation and early deepfake software, you literally had to train these AIs on pictures of the person you wanted it to do a faceswap on. Remember all those singing deepfakes that were super popular back a couple of years ago? Yep, those literally trained on real pictures.
Regardless, you are still ignoring my point. My question here was how do we consider AI content to be “not photo” but consider photos manipulated numerous times, through numerous different processes, which are quite literally, not the original photo, and a literal “photo” to rephrase it simpler for you, and other readers. “why is ai generated content not considered to be a photo, when a heavily altered photo of something that vaugely resembles it’s original photo in most aspects, is considered to be a photo”
You seem to have missed the entire point of my question entirely. And simply said something wrong instead.
Yes it is semantics
no, it’s not, this is a ship of thesseus premise here. The semantics results in how we contextualize and conceptualize things into word form. The problem is not semantics (they are just used to convey the problem at hand), the problem is a philosophical conundrum that has existed for thousands of years.
in fact, if we’re going by semantics here, technically photograph is rather broad as it literally just defines itself as “something in likeness of” though it defines it as taken by method of photography. We could arguably remove that part of it, and simply use it to refer to something that is a likeness of something else. And we see this is contextual usage of words, a “photographic” copy is often used to describe something that is similar enough to something else, that in terms of a photograph, they appear to be the same thing.
Think about scanning a paper document, that would be a photographic copy of some physical item. While it is literally taken via means of photography. In a contextual and semantic sense, it just refers to the fact that the digital copy is photographically equivalent to the physical copy.
Oh FFS, I clipped the word new. Of course it uses information in the prompt. That’s trivial. No one cares about it returning the information that was given to it in the prompt. Nevertheless, mea culpa. You got me.
this is a ship of thesseus premise here
No, it really isn’t.
The pupose of that paradox is that you unambiguously are recreating/replacing the ship exactly as you already know it is. The reason the ‘ai’ in question here is even being used is that it isn’t doing that. It’s giving you back much more than it was given.
The comparison would be if Thesues’ ship had been lost and you definitely don’t have the ship anymore, but had managed to recover the sail. If you take the sail to an experienced builder (the ai) who had never seen the ship, then he might be able to build a reasonable approximation based on inferences from the sail and his wealth of knowledge, but nobody is going to be daft enough to assert it is same ship. Does the wheel even have the same number of spokes? Does it have the same number of oars? The same weight of anchor?
The only way you could even tell if his attempted fascimile was close is if you had already intimate knowledge of the ship from some other source.
…when a heavily altered photo of something that vaugely resembles it’s original photo in most aspects, is considered to be a photo”
most phone cameras alter the original image with AI shit now, it’s really common, they apply all kinds of weird correction to make it look better. Plus if it’s social media there’s probably a filter somewhere in there. At what point does this become the ship of thesseus?
my point here, is that if we’re arguing that AI images are semantically, not photos, than most photos on the internet including people would also arguably, not be photos to some degree.
The difference is that a manipulated photo starts with a photo. It actually contains recorded information about the subject. Deepfakes do not contain any recorded information about the subject unless that subject is also in the training set.
Yes it is semantics, it’s the reason why we have different words for photography and drawing and they are not interchangeable.
The deepfakes would contain the prompt image provided by the creator. They did not create a whole new approximation of their face as the entire pool it can pull on for that specific part is a single or group of images provided by the prompter.
yeah idk why they said that, it’s objectively wrong.
this is explicitly, untrue, they literally do. You are just factually wrong about this. While it may not be in the training data, how do you think it manages to replace the face of someone in one picture, with the face of someone else in some other video.
Do you think it just magically guesses? No, it literally uses a real picture of someone. In fact, back in the day with ganimation and early deepfake software, you literally had to train these AIs on pictures of the person you wanted it to do a faceswap on. Remember all those singing deepfakes that were super popular back a couple of years ago? Yep, those literally trained on real pictures.
Regardless, you are still ignoring my point. My question here was how do we consider AI content to be “not photo” but consider photos manipulated numerous times, through numerous different processes, which are quite literally, not the original photo, and a literal “photo” to rephrase it simpler for you, and other readers. “why is ai generated content not considered to be a photo, when a heavily altered photo of something that vaugely resembles it’s original photo in most aspects, is considered to be a photo”
You seem to have missed the entire point of my question entirely. And simply said something wrong instead.
no, it’s not, this is a ship of thesseus premise here. The semantics results in how we contextualize and conceptualize things into word form. The problem is not semantics (they are just used to convey the problem at hand), the problem is a philosophical conundrum that has existed for thousands of years.
in fact, if we’re going by semantics here, technically photograph is rather broad as it literally just defines itself as “something in likeness of” though it defines it as taken by method of photography. We could arguably remove that part of it, and simply use it to refer to something that is a likeness of something else. And we see this is contextual usage of words, a “photographic” copy is often used to describe something that is similar enough to something else, that in terms of a photograph, they appear to be the same thing.
Think about scanning a paper document, that would be a photographic copy of some physical item. While it is literally taken via means of photography. In a contextual and semantic sense, it just refers to the fact that the digital copy is photographically equivalent to the physical copy.
Oh FFS, I clipped the word new. Of course it uses information in the prompt. That’s trivial. No one cares about it returning the information that was given to it in the prompt. Nevertheless, mea culpa. You got me.
No, it really isn’t.
The pupose of that paradox is that you unambiguously are recreating/replacing the ship exactly as you already know it is. The reason the ‘ai’ in question here is even being used is that it isn’t doing that. It’s giving you back much more than it was given.
The comparison would be if Thesues’ ship had been lost and you definitely don’t have the ship anymore, but had managed to recover the sail. If you take the sail to an experienced builder (the ai) who had never seen the ship, then he might be able to build a reasonable approximation based on inferences from the sail and his wealth of knowledge, but nobody is going to be daft enough to assert it is same ship. Does the wheel even have the same number of spokes? Does it have the same number of oars? The same weight of anchor?
The only way you could even tell if his attempted fascimile was close is if you had already intimate knowledge of the ship from some other source.
Disagree.