For a couple of years now I've been using neural networks to generate daily drawing prompts. With today's text-generating neural networks far too large to finetune on a list of existing prompts, I've turned to other methods. One method that works surprisingly well is

Humans are weird. The question is, do AI training datasets capture the full scope of our weirdness?

I decided to see if GPT-3 could successfully predict other human quirks when prompted with a short list of them. Here's what I gave GPT-3 DaVinci to complete:

Human things that

DALL-E 2 is very good at generating images to match text descriptions but I felt like using DALL-E 2 to mess up some brands. Here's breakfast cereals!