I think all CSAM should be destroyed out of respect for the victims, not proliferated. I don't care who is hanging onto this material or for what purpose.
this post was submitted on 21 Nov 2024
164 points (97.7% liked)
Technology
60239 readers
3311 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 2 years ago
MODERATORS
me
no
rikey
... robo chocolate?
At this point how does it differ w/ generating AI powered CP? morons
It differs in basically being something completely different. This is a classification model, doesn't have generative capabilities. Even if you were to get the model and it's weights, and you tried to reverse engineer an "input" that it would classify as CP, it would most likely look like pure noise to you.
Moron
Generate porn, classificate output, result very young looking models.
Moron
So you need to have a model that generates CP to begin with. Flawless reasoning there.
Look, it's clear you have no clue what you're talking about. Stop demonstrating it, moron.
Not CP, but normal porn and select on CP traits, moron
https://en.m.wikipedia.org/wiki/False_positives_and_false_negatives
Not that I think you will understand. I'm posting this mostly for those moronic enough to read your comments and think "that seems reasonable"
Thanks
Alright, I found the name of what I was thinking of that sounds similar to what they're suggesting: generative adversarial network (GAN).
The core idea of a GAN is based on the "indirect" training through the discriminator, another neural network that can tell how "realistic" the input seems, which itself is also being updated dynamically. This means that the generator is not trained to minimize the distance to a specific image, but rather to fool the discriminator. This enables the model to learn in an unsupervised manner.
Applying GAN won't work. If used for filtering would result on results being skewed to a younger, but it won't show 9 the body of a 9 year old unless the model could do that from the beginning.
If used to "tune" the original model, it will result on massive hallucination and aberrations that can result in false positives.
In both cases, decent results will be rare and time consuming. Anybody with the dedication to attempt this already has pictures and can build their own model.
Source: I'm a data scientist
At least it's not "Source: I am a pedophile" lol
The model I use (I forget the name) popped out something pretty sus once. I wouldn't describe it as CP, but it was definitely weird enough to really make me uncomfortable. It's the only thing it ever made that I immediately deleted and removed from the recycling bin too lol.
The point I'm making is that this isn't as far fetched as you believe.
Plus, you can merge models. Get a general purpose model that knows what children look like, a general purpose pornographic model, merge them, then start generating and selecting images based on Thorn's classifier.
You can't merge a generative model and a classification model. You can run then in series to get a bunch of false positives/hallucinations, but you can't make it generate something from the other model.
When I said a "general purpose model that knows what children look like" I didn't mean the classification model from the article. I meant a normal, general purpose image generation model. When I said "that knows what children look like" I mean part of its training set is on children, because it's sort of trained a little on everything. When I said "pornographic model" I mean a model trained exclusively on NSFW content (and not including any CSAM, but that may be generous depending on how much care was out into the model's creation).
load more comments
(5 replies)