We're there. Netanyahu referenced Amalek in his war speech, a story where god commanded the Jews to kill every last infant of an enemy nation. The deputy speaker in parliament explicitly said there are no innocent civilians in Gaza and it must be wiped off the face of the earth.

Why stop there? The digital computer was introduced in 1942 and methods for solving linear equations were developed in the 1600s.

All of my artist friends also found it soul sucking, they just needed to make (real) money. Friends of friends with the occasional $20 to spare for a commission just don't pay the bills. I think the only artist friends I have that make a living off their chosen medium and don't hate their job are lifestyle photojournalists.

What? Alexnet wasn't a breakthrough in that it used GPUs, it was a breakthrough for its depth and performance on image recognition benchmarks.

We knew GPUs could speed up neural networks in 2004. And I'm not sure that was even the first.

None of these appeals to relative complexity, low level structure, or training corpuses relates to whether a human or NN "know" the meaning of a word in some special way. A lot of your description of what "know" means could be confused to be a description of how Word2Vec encodes words. This just indicates ignorance of how ML language processing works. It's not remotely on the same level as a human brain, but your view on how things work and what its failings are is just wrong.

No, not even remotely. And that's kind of like citing "the first program to run on a CPU" as the start of development for any new algorithm.

It isn't. People design a scene and then change and refine the prompt to add elements. Some part of it could be refreshing the same prompt, but that's just like a photographer taking multiple photos of a scene they've directed to catch the right flutter of hair or a dress or a creative director saying "give me three versions of X".

Ready to get back to my original questions?

I don't disagree, just pointing out that it's not "good riddance" for a lot of artists that depend on that to have any job in art.

No, both of those examples involve both design and selection, which is reminiscent to the AI art process. They're not just typing in "make me a pretty image" and then refreshing a lot.

Is a photographer an artist? They need to have some technical skill to capture sharp photos with good lighting, but a lot of the process is designing a scene and later selecting among the photos from a shoot for which one had the right look.

Or to step even further from the actual act of creation, is a creative director an artist? There's certainly some skill involved in designing and recognizing a compelling image, even if you were not the one who actually produced it.

GameStop also went up. It doesn't mean GameStop is a good company that's valuable to own, it just means that dumb people will buy things without value if they think they can eventually pass the bag to someone else. If someone purchased every share of Amazon they'd own a massive asset that would continually produce value for them. If someone bought every outstanding Bitcoin, it both wouldn't produce ongoing value, but the value would actually go to zero.

The problem is that shit art is what employs a lot of artists. Like, in a post-scarcity society no one needing to spend any of their limited human lifespan producing corporate art would be awesome, but right now that's one of the few reliable ways an artist can actually get paid.

I'm most familiar with photography as I know several professional photographers. It's not like they love shooting weddings and clothing ads, but they do that stuff anyway because the alternative is not using their actual expertise and just being a warm body at a random unrelated job.