I don’t think you even need the actual stuff to train a neural network to recognize it. For example, if I wanted to train a neural network to recognize pictures of lions, but I didn’t have any actual pictures of lions, I could use pictures of lion-shaped things, lion-colored things and locations where lions might appear. If a picture is hitting all three of those, it’s very likely to be a lion. Very likely is all a neural network can do, so it’s good enough for my purposes.
That saying works for trees. We didn’t make trees obsolete with better technology.
And much of the PR problem is related to waste. The main push towards alternative energy sources comes from people worried about the long term consequences of burning fossil fuels. These same people worry about the long term consequences of nuclear waste production, so nuclear sabotages itself on this front.
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Why shouldn’t you go the forest at noon?
That’s when the ripe elephants fall from the trees.
Why does the alligator have such a flat nose?
Because he went to the forest at noon.
Bonus points if you space them out a bit with unrelated jokes.
I do know much about anime and these are all mainstream anime I could think of in 10 seconds:
bestiality
They’re humans with some animal features, so none of the above would count as bestiality. I don’t think a fantasy involving a werewolf and a fancy dildo is anywhere near bestiality either, so maybe don’t judge people for a little kink.
More at stake than Bush vs Gore? Bro forgot about the 20 year war already
Available image generators are already capable of generating those images and they weren’t even trained on it. Once a neural network can detect/generate two separate concepts, it can detect/generate the overlap. It won’t be as fine-tuned obviously, but can still turn out scarily accurate.