AI Weirdness: the strange side of machine learning
Janelle Shane

Janelle Shane

Total 853 Posts
Post-human flirting

Post-human flirting

In Henry J. Wehman’s The Mystery of Love, Courtship and Marriage Explained (1890) [https://archive.org/details/TheMysteryOfLoveCourtshipAndMarriageExplained/page/n33/mode/2up] there are charts of secret messages Victorian flirters could send with fans, parasols, gloves, and handkerchiefs. Whether the handkerchief codes were ever in use (or mainly used
What to do with your time

What to do with your time

In Leonardo DaVinci’s diary you can find his to-do lists [https://jrbenjamin.com/2018/01/05/da-vincis-to-do-lists/], the kinds of broad-ranging investigations the famous polymath would use to occupy his time: > Draw Milan. Get the master of arithmetic to show you how
Splorts Teams

Splorts Teams

There is a game called Blaseball [https://www.blaseball.com/]that started online in summer 2020. Gameplay is both entirely straightforward [https://www.gains.af/blog/blaseball] and profoundly confusing [https://catacalypto.substack.com/p/i-am-all-love-blaseball-and-so-can] - a rulebook is now available, but is
High-visibility costumes for distanced viewing

High-visibility costumes for distanced viewing

I’ve used neural networks to generate Halloween costumes in the past, but the early ones struggled with their complete lack of context for the training data. Why is Statue of Liberty a plausible costume yet Statue of Pizza isn’t [https://aiweirdness.com/post/166814009412/a-neural-network-designs-
What color are you?

What color are you?

I’ve been having fun using GPT-3 to generate weird versions of internet memes. Even if it’s a meme that didn’t exist when GPT-3’s training data was collected from the internet (which was October 2019 for the version I’m using), most memes will fit
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