I’ve got a fairly large body of art that straddles the line between NSFW and SFW.
Overall, my content is photography of women and my audience trends mostly female. I view this as a version of success - I’m a straight male person and I feel like if my audience was more male-trending, they’d just be appreciating the boobies instead of the human form, often times nude or scantily clad, artistically presented.
The nude in art is something we’ve had for a long long time, we’ve never really gotten tired of it. I haven’t run out of new and interesting things to do with it. Photographers of nudes in days past didn’t have access to the latest LED technologies, at the very least. And. likewise, genetic variation is always turning out a new face.
And, dono, I get that just because I’m fairly unbothered by nudity that some people might be uncomfortable and thusly my art is NSFW. You wouldn’t want it as your desktop pattern on a work PC, right? But it’s still art and people find joy in it and I’ve spent a lot of time developing it.
Okay, but then there’s everything else! Pretty girls get away with more than chubby girls who get away with more than trans girls, so it’s always been a version of policing and it thusly leads to the thin end of the wedge where more things, important things like how to understand when you are actually being groomed or that LGBTQ people have always existed or how to not get a disease, get lumped into the same category, so I’m annoyed because people want to make porn go away, then my art go away and then do a bunch of other dastardly deeds, none of which any of us really want to have happen.
Well, think about it this way…
You could hit AGI by fastidiously simulating the biological wetware.
Except that each atom in the wetware is going to require n atoms worth of silicon to simulate. Simulating 10^26 atoms or so seems like a very very large computer, maybe planet-sized? It’s beyond the amount of memory you can address with 64 bit pointers.
General computer research (e.g. smaller feature size) reduces n, but eventually we reach the physical limits of computing. We might be getting uncomfortably close right now, barring fundamental developments in physics or electronics.
The goal if AGI research is to give you a better improvement of n than mere hardware improvements. My personal concern is that that LLM’s are actually getting us much of an improvement on the AGI value of n. Likewise, LLM’s are still many order of magnitude less parameters than the human brain simulation so many of the advantages that let us train a singular LLM model might not hold for an AGI model.
Coming up with an AGI system that uses most of the energy and data center space of a continent that manages to be about as smart as a very dumb human or maybe even just a smart monkey is an achievement in AGI but doesn’t really get you anywhere compared to the competition that is accidentally making another human amidst a drunken one-night stand and feeding them an infinitesimal equivalent to the energy and data center space of a continent.