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Sit back grab some popcorn. Lets see how long it takes people to start running data backwards to get new original porn.
I'm not a deep learning person whatsoever, but I do have an interesting use case that I won't disclose publicly: Is there a way to build this, and output detections based on the, ugh, object it has detected? e.g. penis 0.94 vagina 0.01
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As long as what you need is a nightmarish version of the requested scene. What happens here with generating illegal content? If you put a public text->image gan up, and someone uses it to generate child porn, are you responsible? How could you make sure it couldn't?
Would computer generated child porn be illegal? No children are harmed in its creation.
I'm not a deep learning person whatsoever, but I do have an interesting use case that I won't disclose publicly: Is there a way to build this, and output detections based on the, ugh, object it has detected? e.g. penis 0.94 vagina 0.01
Yes. You would have to have a large training set with these labels but it would be pretty straightforward to train. You would probably want a tagging model not a classifier because there could be multiple objects of interest in the same image. If you get me the training data I could train a model for you pretty quickly.
Thus, it is meant to be for off the shelf use rather than being able to tinker with the network to produce nuanced results.
So can it be reversed to become the ultimate porn-finding neural network?
They have that, it's called 'Google' :)
Forgive my ignorance of ML but the last bit: "you'll need your own porn to train on" confused me. Does this mean that they're just exposing the rough topology of their neutral net (eg depth) and not the actual weights between nodes? I'm curious to learn from an ML expert how much this actually offers.
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When you said "reversed" I thought about it being a porn-generative neural network. Just enter your favorite keywords and an unique, tailored to your needs scene will be generated just for you!
It would be interesting to see the "deep dream" treatment of ordinary images using this neural net.
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In the USA: Provisions against simulated child pornography were found to be unconstitutional in Ashcroft v. Free Speech Coalition [0] in 2002. From wiki [1]: > Referring to [New York v. Ferber, 1982: child pornography is not protected speech], the court stated that "the CPPA prohibits speech that records no crime and creates no victims by its production. Virtual child pornography is not 'intrinsically related' to the…
They actually fixed this with the 2003 PROTECT act which only makes obscene simulated child pornography illegal. Because obscenity isn't protected by the first amendment this has been found to be constitutional.