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this post was submitted on 21 Sep 2023
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Technology
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I will be convinced when they learn to draw hands correctly, which they seem to boast about here.
Here's an example image from the article.
https://cdn.arstechnica.net/wp-content/uploads/2023/09/plategirl-980x560.jpg
Well no wonder they couldn't find this example.
For a system where the intent is to read, learn, or be entertained (and kill time), people seem unwilling to do the first to accomplish the latter.
Was the prompt “Woman from China”?
Edit: I feel like the nuance of this joke may have been lost on some. Whether or not I read the article is irrelevant, since this was not a genuine question, rather a play on words of the double meaning of “china” as in “A woman from (the country) China” and “A woman (emerging) from china (porcelain)”.
I’ll get my coat.
The prompt is on the picture in the article:
Why do we need AI creating text, when nobody is reading?
Whoosh
You might want to put it all lowercase next time
The next time I make the same joke?
I reckon I’ll just keep it to myself instead. I already feel ridiculous for having to explain it. Lemmy is harder than real life.
Making the context window likely helps with stuff, however it still has the issue of "background breaking".
Yup that's the thing with most of generative AI models, they have no implicit 3D modelling of the world. So depending on perspective, a real 2D image may give the impression that there are 2 or 3 fingers only but the model doesn't know that that's just because of perspective.
The reason AI struggles with hands is because real artists struggle with them too.
While there is some truth in this, humans and AI do not make the same type of mistakes with hands.
Humans will rebuild the topological structure of the hand: 5 fingers protruding from a base, and get the proportions wrong..while the topology is credible.
AI will rebuild the image of a hand from the 2d appearance of a hand: a variable number of flesh colored, parallel stripes, and improvise from that.
While both can get it wrong, the errors are not similar.