Introducing #Botober, a set of AI-generated drawing prompts for each day in October!
I generated these using GPT-3, a neural net trained on a huge amount of internet text, but not on drawing prompts specifically. (This explains a lot)
For the first #Botober collection I generated, I had GPT-3 generate "things". Here's an alternate collection in which I had the neural net generate "concepts". It's different, but I'm not sure if it's easier.
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 all of these are *fantastic* omg
@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 ;)
@Olm_e It might be able to! It would depend on whether it needed to assess the actual art
@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.... )
i wish to buy Juice for Humans please.
@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.
@janellecshane I dunno these are kinda my favorite to draw so far 😅
7-uka α 
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.