AI's Attempts At Creating Convincing-Sounding Disease Names Are Hilariously Unnerving

In this grand tradition of AI fails, a blogging research scientist has been playing around with a neural network to see if AI can invent fake but convincing- sounding ailments, and the results are ridiculous and fairly unsettling.

Janelle Shane plugged in a list of 3,765 actual disease names into an open-source machine learning algorithm. This algorithm, known as a recursive neural network, processes all these real diseases and eventually learns how humans tend to name and structure the names of their ailments.

Since this is very much a learning process for the AI, the first run of generated names was a bit off:

Much Esophageal Eneetems

Poison Poison Tishues

Allergic Antibody

Vomania

Poisonicteria Disease

Eleumathromass

Sexurasoma Ear

Insect Sculs

Complex Disease

Eventually, the machine began to hone its skills and the names became (vaguely) more real-sounding, albeit no less hilarious:

Seal Breath

Tossy Blanter

Cancer of Cancer

Bull Cancer Spisease

Lentford Foot

Machosaver

RIP Syndrome

Some other top favorites, which Janelle suggests could be good for you budding sci-fi writers, include:

Milk Tomosis

Ear Poop

Teenagees

Strecting Dissection of the Breath

Bacterial Fradular Syndrome

Orgly Disease

Eat Cancer

Liver Bits

Clob

Spleen Sink

Ovarian Pancreas

Wamble Submoration

Super Syndrome

Low Life

Excessive Woot Sweating

Fish Poisoning

Oh, AI, your days of world domination are still a while off. At least you tried, though, at least you tried.

Fans of the computer fluff ups may remember the InspiroBot. This worked on the same basic premise by using a bank of data to try and create inspiration posters, complete with an inspiring quote and a whimsical accompanying image. The huge majority of the posters were either totally hilarious or terrifyingly dark.

Sleep tight and don’t let the “RIP Syndrome” bite.

[H/T Motherboard]