From Farty Red to Le Cute White, an Algorithm Generates Absurd Color Names

Which color would you rather paint your kitchen: Burf Pink or Rose Colon? You can probably rule out Gray Pubic, while Stoner Blue could be a chill choice.

Those are some of the paint swatch options generated by a neural network programmed by Janelle Shane, a research scientist who plays with machine-learning software when she has some spare moments. Shane posted the results of her experiment on her Tumblr earlier this week, where she explains that she fed a learning algorithm a list of about 7,700 Sherwin-Williams paint color names and their RGB values, and watched as it formed its own rules and generated different sets of data.


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