Also there have been dozens of HN submissions and comments where the poster didn't even bother to remove the em dashes. Most people just don't care. The people who continue to post like this wouldn't have been as visible had they not discovered AI and pounced on it, but they were always there. The idea of posting with an AI voice, em-dashes and all, would likely have still appealed to them if you'd asked 5-10 years ago. Nowadays it takes hardly any energy for them to have a persistent voice.
Slop has always been around. AI has cheapened its creation.
If something is able to generate things with soul and true originality... we're talking about something incredible, a new intelligent species potentially
think about how in music, when an artist comes out with something original and awesome, and then everyone starts copying it and creating their own derivative works, like Jimi Hendrix or something.
Did Hendrix become useless? Did everyone end up thinking he sucks or something? No, he is even more revered, as the originator of a new type of sound that probably created multiple genres
The same thing applies here. Originality will be valued and even empowered as extrapolation and development off of it can increase in speed and quality in the case you mention
True, but some nuance is that a LOT of artist/creative types lean exclusively on the mechanical skill needed to create, without anything really much to say. They also very frequently copy other's styles, etc.
I'm not defending AI pumping out crap, but this also shows a lot of folks don't have much to offer beyond the mechanical aspects and we shouldn't glorify churning out stuff by hand as high art either.
Think about it: everyone has characterized AI slop, as slop. Which means that we negatively value it in terms of originality. Combine that with the fact that there will be a lot of it, this means that original work will 1. stand out or be very distinct from slop, and 2. have its value amplified as a result of this polarization.
basically, we value originality more AND are able to identify it more readily.
related is also the fact that originality will literally be valuable as training data for future models