Hey, at least he got what Trump didn’t. He had sex with his daughters.
I think that you might be thinking of Lot rather than Noah.
Lot and his two daughters left Zoar and settled in the mountains, for he was afraid to stay in Zoar. He and his two daughters lived in a cave. One day the older daughter said to the younger, “Our father is old, and there is no man around here to give us children—as is the custom all over the earth. Let’s get our father to drink wine and then sleep with him and preserve our family line through our father.”
That night they got their father to drink wine, and the older daughter went in and slept with him. He was not aware of it when she lay down or when she got up.
The next day the older daughter said to the younger, “Last night I slept with my father. Let’s get him to drink wine again tonight, and you go in and sleep with him so we can preserve our family line through our father.” So they got their father to drink wine that night also, and the younger daughter went in and slept with him. Again he was not aware of it when she lay down or when she got up.
So both of Lot’s daughters became pregnant by their father. The older daughter had a son, and she named him Moab[a]; he is the father of the Moabites of today. The younger daughter also had a son, and she named him Ben-Ammi[b]; he is the father of the Ammonites[c] of today.
It looks like Noah had three sons, but if he had daughters, the Bible doesn’t say anything about them, much less any incest with them.
There are also things that present-day generative AI is not very good at in existing fields, and I’m not sure how easy it will be to address some of those. So, take the furry artist. It looks like she made a single digitally-painted portrait of a tiger in a suit, a character that she invented. That’s something that probably isn’t all that hard to do with present-day generative AI. But try using existing generative AI to create several different views of the same invented character, presented consistently, and that’s a weak point. That may require very deep and difficult changes on the technology front to try to address.
I don’t feel that a lot of this has been hashed out, partly because a lot of people, even in the fields, don’t have a great handle on what the weaknesses are and what might be viably remedied and how on the AI front. Would be interesting to try to do some competitions in various areas, see what a competent person in the field and someone competent in using generative AI could do. It’ll probably change over time, and techniques will evolve.
There are areas where generative AI for images has both surpassed what I expected and underperformed. I was pretty impressed with its ability to capture the elements of what creates a “mood”, say, and make an image sad or cheerful. I was very surprised at how effective current image generation models were, given their limited understanding of the world, at creating things “made out of ice”. But I was surprised at how hard it was to get any generative AI model I’ve tried to generate drawings containing crosshatching, which is something that plenty of human artists do just fine. Is it easy to address that? Maybe. I think I could give some pretty reasonable explanations as to why consistent characters are hard, but I don’t really feel like I could offer a convincing argument about why crosshatching is, don’t really understand why models do poorly with it, and thus, I’ve no idea how hard it might be to remedy that.
Some fantastic images are really easy to create with generative image AI. Some are surprisingly difficult. To name two things that I recall [email protected] regulars have run into over the past couple years, trying to create colored car treads (it looks like black treads are closely associated with the “tire” token) and trying to create centaurs (generative AI models want to do horses or people, not hybrids). The weaknesses may be easy to remedy or hard, but they won’t be the same weaknesses that humans have; these are things that are easy for a human. Ditto for strengths — it’s relatively-easy for generative AI to create extremely-detailed images (“maximalist” was a popular token that I recall seeing in many early prompts) or to replicate images of natural media that are very difficult or time-consuming to work in in the real world, and those are areas that aren’t easy for human artists.