I'm hand-curating the GPT-3 generated #Botober prompts because many of the neural net's drawing prompts are terrible for one reason or another.
Here are some of the prompts that were unfairly difficult.
The neural net suggested #Botober drawing prompts based on how the words fit, and not on any concept of how the objects might look. This list makes that abundantly clear.
There are several ways of getting GPT-3 to generate drawing prompts.
For #Botober I chose to give it a short story to complete, in which it had to generate lines for an erratic station AI. The neural net took over after "1."
@janellecshane I felt the urge to sing all of these, but I did so under my breath, so that my family wouldn't think I was even weirder than usual.
@janellecshane pile of logs more popular than expected!
Worms pulsing in a black light is really wow!
@janellecshane stupid qu? : do you think it can fill in "call for project" dossiers in art? that would be a relief to apply to numerous calls while not wasting time scribbling stupid txts and not creating ;)
@janellecshane ho good lord of inculture : probably not! ... given the ratio of word/picture/boxes to fill I went accross those years, it should really help then even without knowing anything about pictures (and we can generate them from samples + text titles probably with other gen algo ;p )
... (feeling some reality drift here.... )
@Sandra The second one, "concepts" is as close to final as it gets. But people are free to do whichever list they like best, or to mix and match.
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