It’s possible to legally photograph young people. Completely ordinary legal photographs of young people exist, from which an AI can learn the concept of what a young person looks like.
Do a Google Image search for “child” or “teenager” or other such innocent terms, you’ll find plenty of such.
I think you’re underestimating just how well AI is able to learn basic concepts from images. A lot of people imagine these AIs as being some sort of collage machine that pastes together little chunks of existing images, but that’s not what’s going on under the hood of modern generative art AIs. They learn the underlying concepts and characteristics of what things are, and are able to remix them conceptually.
Is an image of a child inappropriate? Fully clothed, nothing going on.
Is the image of an adult engaging in sexual activity inappropriate?
Based on those two concepts, it can generate inappropriate child sexual imagery.
You may have done OCR work a while ago, but that is not the same type of machine learning that goes into typical generative AI systems in the modern world. It very much seems as though you are profoundly misunderstanding how this technology operates if you think it can’t generate a novel combination of previously trained concepts without a prior example.
You’re not the brightest spoon in the drawer are you?
“Naked” and “child” are two concepts it can learn and combine without needing to be taught “naked child”.
It does not need to see an example of every type of thing it can generate.
It can combine pornographic concepts learned in isolation to disparate unrelated concepts.
It does not need to have been trained on child porn to generate child porn.
I haven’t and won’t attempt any testing on this, for obvious reasons. But at the same time, if any AI system out there can manage to generate images of pre-puberty private parts, then the training data must have included inappropriate material to be able to distinguish the differences.
No, that is quite literally not how it works. Insisting that that’s how it works doesn’t make it true.
This isn’t secret data or a hidden process. You can just read how it works. It does not work how you are insisting it works. It was literally designed from the ground up to work in the way that you are insisting it doesn’t.
Because I do not want to type gross things, let’s discuss sauron, from the Lord of the rings.
He is never depicted without his armor. He is referred to only with male pronouns.
Lord of the rings, sauron
Entering a prompt into my local stable diffusion instance of Lordoftherings,sauron,naked Negative prompt:Armor returns an image of a naked figure with a predominantly male body and musculature, no pubic hair, vulva, and bony protrusions from the head. (The crown seems to have been converted into organic material).
Since it has no training on the specific notion of a nude sauron, it extrapolates from what it knows about the shape of sauron and typical words used with sauron, to what it knows about nudity.
This is clearly not the image I was looking for.
Giving it more specific prompting: Lord of the rings, sauron, wearing comical heart print underwear Negative prompt: Armor.
This returns an image of a man with a similar build as before, but now lacking the bone spikes. This man has a prominent feature on his chest, similar to the glowing shape of the armored sauron but it’s a heart shape, and he’s wearing brief style underwear with only one heart, and a multitude of rings or rings shaped things on them.
This is the process by which one gets the system to produce something that it has never seen before in the fashion that one wants.
If you were to just ask it as though it should know what that immediate concept is, it will make vague random guesses that fit with what it knows.
Further concepts are required to guide it in the direction you’re looking.
It does not know what sauron looks like under his armor, but it does know how to leave armor out of an image, what a naked man looks like, and what comical print underwear looks like, and that sauron is spikey and frequently associated with “dark, ominous, fire, volcano”.
It does not know what child pornography would looks like, but it does know how all of the words you would use to describe it in detail change an image, and how to combine them together so they fit with each other.
That’s why the individual in question is mentioned as having extremely detailed prompts. That’s required to get it to do something it’s unfamiliar with.
If you want a naked woman you can just say naked woman and it can go from there, because it knows that concept. Well enough that you often have to put in some work to get it to not include a naked woman, since it can associate them with anything.
Again, I’ve never tested the exact subject in question, and I’m not about to. So yes, I guess I am making some speculations here.
But I remember my own stages of puberty, and there are distinct differences between a young boy and a grown man. All I’m getting at is that if AI can generate a convincingly realistic image of an underage pre-puberty nude, then it must have been partly trained with underage images.
One last try before I give up: can you describe what a pre-puberty individual looks like without referring to them as such? Congratulations, you know how to ask an AI that has never seen an inappropriate image of a child for one.
So yes, I guess I am making some speculations here.
That is abundantly clear, as you’ve been repeatedly corrected about how those speculations are entirely incorrect.
Don’t blame the AI systems, they don’t know anything more than what humans have taught it. Blame those that fed in inappropriate material, whether it’s the images or the words and prompts. Blame those feeding AI the garbage, whether it’s the developers or the users, or the sites the AI scrapes data from.
AI is neat and all, and often funny even, when used properly. But at the end of the day, whatever it generates was somehow created by human input.
Find and prosecute the humans that are using it for inappropriate purposes.
Exactly. And if you ask it for the opposite of an older MILF, then how does it know what younger ladies look like?
It’s possible to legally photograph young people. Completely ordinary legal photographs of young people exist, from which an AI can learn the concept of what a young person looks like.
The only example I can think of with what you said is just a couple brief innocent scenes from The Blue Lagoon.
Short of that, I don’t know (nor care for any references to) any other legal public images or video of anything as such.
I dunno, I’m just bumfuzzled how AI, whether public or private, could have sufficient information to generate such things these days.
Do a Google Image search for “child” or “teenager” or other such innocent terms, you’ll find plenty of such.
I think you’re underestimating just how well AI is able to learn basic concepts from images. A lot of people imagine these AIs as being some sort of collage machine that pastes together little chunks of existing images, but that’s not what’s going on under the hood of modern generative art AIs. They learn the underlying concepts and characteristics of what things are, and are able to remix them conceptually.
And conceptually, if I had never seen my cousin in the nude, I’d never know what young people look naked.
No that’s not a concept, that’s a fact. AI has seen inappropriate things, and it doesn’t fully know the difference.
You can’t blame the AI itself, but you can and should blame any and all users that have knowingly fed it bad data.
Is an image of a child inappropriate? Fully clothed, nothing going on.
Is the image of an adult engaging in sexual activity inappropriate?
Based on those two concepts, it can generate inappropriate child sexual imagery.
You may have done OCR work a while ago, but that is not the same type of machine learning that goes into typical generative AI systems in the modern world. It very much seems as though you are profoundly misunderstanding how this technology operates if you think it can’t generate a novel combination of previously trained concepts without a prior example.
I’m referring to the inappropriate photography and videos out there. Please learn to read.
You’re not the brightest spoon in the drawer are you?
“Naked” and “child” are two concepts it can learn and combine without needing to be taught “naked child”.
It does not need to see an example of every type of thing it can generate.
It can combine pornographic concepts learned in isolation to disparate unrelated concepts.
It does not need to have been trained on child porn to generate child porn.
I haven’t and won’t attempt any testing on this, for obvious reasons. But at the same time, if any AI system out there can manage to generate images of pre-puberty private parts, then the training data must have included inappropriate material to be able to distinguish the differences.
No, that is quite literally not how it works. Insisting that that’s how it works doesn’t make it true.
This isn’t secret data or a hidden process. You can just read how it works. It does not work how you are insisting it works. It was literally designed from the ground up to work in the way that you are insisting it doesn’t.
Because I do not want to type gross things, let’s discuss sauron, from the Lord of the rings.
He is never depicted without his armor. He is referred to only with male pronouns.
Lord of the rings, sauronEntering a prompt into my local stable diffusion instance of
Lord of the rings, sauron, naked Negative prompt: Armorreturns an image of a naked figure with a predominantly male body and musculature, no pubic hair, vulva, and bony protrusions from the head. (The crown seems to have been converted into organic material).Since it has no training on the specific notion of a nude sauron, it extrapolates from what it knows about the shape of sauron and typical words used with sauron, to what it knows about nudity.
This is clearly not the image I was looking for.
Giving it more specific prompting:
Lord of the rings, sauron, wearing comical heart print underwear Negative prompt: Armor. This returns an image of a man with a similar build as before, but now lacking the bone spikes. This man has a prominent feature on his chest, similar to the glowing shape of the armored sauron but it’s a heart shape, and he’s wearing brief style underwear with only one heart, and a multitude of rings or rings shaped things on them.This is the process by which one gets the system to produce something that it has never seen before in the fashion that one wants.
If you were to just ask it as though it should know what that immediate concept is, it will make vague random guesses that fit with what it knows.
Further concepts are required to guide it in the direction you’re looking.
It does not know what sauron looks like under his armor, but it does know how to leave armor out of an image, what a naked man looks like, and what comical print underwear looks like, and that sauron is spikey and frequently associated with “dark, ominous, fire, volcano”.
It does not know what child pornography would looks like, but it does know how all of the words you would use to describe it in detail change an image, and how to combine them together so they fit with each other.
That’s why the individual in question is mentioned as having extremely detailed prompts. That’s required to get it to do something it’s unfamiliar with.
If you want a naked woman you can just say
naked womanand it can go from there, because it knows that concept. Well enough that you often have to put in some work to get it to not include a naked woman, since it can associate them with anything.Again, I’ve never tested the exact subject in question, and I’m not about to. So yes, I guess I am making some speculations here.
But I remember my own stages of puberty, and there are distinct differences between a young boy and a grown man. All I’m getting at is that if AI can generate a convincingly realistic image of an underage pre-puberty nude, then it must have been partly trained with underage images.
You are painfully dense or trolling.
One last try before I give up: can you describe what a pre-puberty individual looks like without referring to them as such? Congratulations, you know how to ask an AI that has never seen an inappropriate image of a child for one.
That is abundantly clear, as you’ve been repeatedly corrected about how those speculations are entirely incorrect.
More painfully dense than anything.
Don’t blame the AI systems, they don’t know anything more than what humans have taught it. Blame those that fed in inappropriate material, whether it’s the images or the words and prompts. Blame those feeding AI the garbage, whether it’s the developers or the users, or the sites the AI scrapes data from.
AI is neat and all, and often funny even, when used properly. But at the end of the day, whatever it generates was somehow created by human input.
Find and prosecute the humans that are using it for inappropriate purposes.