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.
Hoimo
joined 1 year ago
One, I think ~~people generally~~ I have an innate need to produce something. ~~We~~ I don't want to just sit around and entertain ~~ourselves~~ myself, ~~we~~ I want to contribute. Two, I think the 40 hour work week isn't quite the right balance for me. Maybe 30 would be better for me.
It's good to learn from experiences, but it's not good to assume that your experience is everyone's experience.
I didn't mind your opinion, but now I have to downvote anyway. An opinion this uninformed doesn't have any right to exist. Minecraft was the sole reason for the current generation of Java devs, it's literally the Statue of Liberty of the United Javates, the first thing those poor huddled masses saw before landing in the New World.
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.