I’m honestly stunned by this. If it was indeed trained solely on text, how does it end up with such a good idea of how Euclidean space works? That’s either stupidly impressive, or a possible hint that the set of natural abstractions is even smaller and a bigger attractor in algorithm space than I thought. The labyrinth seems explicable, but the graphics?
Thanks, I did not know this. A quick search for his images seems to show that they use colour and perspective right at least as well as this does. Provided this is fully real and there’s nobody else in his process choosing colors and such. Tentatively marking this down as a win for natural abstraction.
I’m honestly stunned by this. If it was indeed trained solely on text, how does it end up with such a good idea of how Euclidean space works? That’s either stupidly impressive, or a possible hint that the set of natural abstractions is even smaller and a bigger attractor in algorithm space than I thought. The labyrinth seems explicable, but the graphics?
Could a born blind human do this?
With enough training, sure. There are such things as born blind human painters.
Thanks, I did not know this. A quick search for his images seems to show that they use colour and perspective right at least as well as this does. Provided this is fully real and there’s nobody else in his process choosing colors and such. Tentatively marking this down as a win for natural abstraction.
There’s a fuckton of descriptions of images in text I guess.
And it’s consumed trillions of tokens.
It’s not just blind. It essentially has no senses whatsoever. It seems to have extrapolated “sense” from text data.