New D&D magic spells, designed by neural network


I’ve trained this open-source neural network framework on a variety of datasets, including recipes, Pokemon, knock-knock jokes, and pick up lines

Here’s the latest: a list of 365 different spells you can cast in Dungeons and Dragons. 

It’s a really small dataset, actually – so small that in almost no time at all, it learned to reproduce the original input data verbatim, in order. But by setting the “temperature” flag to a really high value (i.e. it has a higher chance of NOT going with its best guess for the next character in the phrase), I can at least induce spelling mistakes. Then the neural network has to try to recover from these, with often entertaining results.

I give you: D&D magic spells, designed by neural network

Moss Healing Word
Hold Mouse
Barking Sphere
Heat on Farm
True Steake
Finger of Enftebtemang
Fomend’s Beating Sphere
Purping Lightsin
Wrathful Hound
Q’s Invisibility
Cow of Auraly
Mind Blark
Stone Share
Puijune Magic Furs
Grove of Plants
Conjure Velemert
Vicious Markers
End Wall
Mous of Farts
Gland Growth