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.

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 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

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@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.... )

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