Janelle Shane

GPT-2: It can’t resist a list

By Janelle Shane On May 23, 2019 - 2 min read

One of my favorite things is to get a neural net to generate a list of things. And one of the best neural nets to subject to that task is GPT-2 [https://aiweirdness.com/post/182824715257/gpt-2-it-learned-on-the-internet], which learned a heck of a

This neural net would like to deliver these petitions

By Janelle Shane On May 16, 2019 - 4 min read

So the other day I heard from Change.org [http://change.org], a company that lets anyone make an online petition and gather signatures. In over a decade of existence, they’ve hosted about 5 million unique petitions. Some of the petitions are VERY unique - like the ongoing petition to

What is the opposite of guacamole?

By Janelle Shane On May 10, 2019 - 3 min read

Last week I attempted to illustrate some neural net-generated racehorses by turning to another neural net - this time, one that generates images, called BigGAN [https://aiweirdness.com/post/182322518157/welcome-to-latent-space]. Using Joel Simon’s ganbreeder.app [http://ganbreeder.app] interface, I’m able to see what

A neural net names racehorses

By Janelle Shane On May 03, 2019 - 2 min read

I’ve used neural networks to name all kinds of things - halloween costumes [http://aiweirdness.com/post/179461774272/its-neural-net-halloween-costume-time] , craft beers [http://aiweirdness.com/post/166075083502/trendy-beer-names-invented-by-neural-network] , cats [http://aiweirdness.com/post/162396324452/neural-networks-kittens], and even guinea

Learning to hack like a faulty AI

By Janelle Shane On April 26, 2019 - 3 min read

So last week I was a biiiit busy, traveling to Vancouver to give a TED talk(!!!!). I’ll post the talk when it goes live online, probably at the end of October. For me, one of the highlights of the 2019 TED conference was Simone Giertz’s “Sh*tty Robot

GPT-2: It can’t resist a list

This neural net would like to deliver these petitions

What is the opposite of guacamole?

A neural net names racehorses

Learning to hack like a faulty AI

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