AI Weirdness: the strange side of machine learning

Tag: harry potter

Total 8 Posts
Dungeon crawling or lucid dreaming?

Dungeon crawling or lucid dreaming?

I’ve done several experiments with a text-generating neural network called GPT-2. Trained at great expense by OpenAI (to the tune of tens of thousands of dollars worth of computing power), GPT-2 learned to imitate all kinds of text from the internet. I’ve interacted with the basic model, discovering
First there was SkyKnit. Now there's HAT3000

First there was SkyKnit. Now there's HAT3000

[Chunky Hat”, crocheted by Joannastar] A while ago, I tried to train a neural network to generate knitting patterns by showing it a few thousand existing patterns so it could use trial and error to generate new patterns. I called the project SkyKnit [https://aiweirdness.com/post/173096796277/skyknit-when-knitters-teamed-up-with-a-neural] , and
It takes a bot to know one?

It takes a bot to know one?

A couple of weeks ago, I wrote about GPT-2 [http://aiweirdness.com/post/182824715257/gpt-2-it-learned-on-the-internet], a text-generating algorithm whose huge size and long-term analysis abilities mean that it can generate text with an impressive degree of coherence. So impressive, in fact, that its programmers at OpenAI have only released a
Harry Potter spells, generated by neural network

Harry Potter spells, generated by neural network

Last week [http://lewisandquark.tumblr.com/post/165373096197/a-neural-network-learns-to-create-better-dd] , I trained a neural network [https://github.com/karpathy/char-rnn] to generate the names of magic spells from the game Dungeons and Dragons, by giving it a list of existing spells and asking it to generate more like them. It obliged,
Harry Potter and the word-level recurrent neural network

Harry Potter and the word-level recurrent neural network

> Welcome Home by Alisanne | Severus will quite continue in a muggle book. In a previous experiment [http://lewisandquark.tumblr.com/post/162668008357/harry-potter-and-the-neural-network-fan-fiction] , I trained a character-level recurrent neural network (char-rnn [https://github.com/crazydonkey200/tensorflow-char-rnn]) to generate titles and summaries of Harry Potter fan fiction, based on over
Harry Potter and the Neural Network fan fiction

Harry Potter and the Neural Network fan fiction

Or, what happens if you train a neural network on the titles and plot summaries of over 100,000 works of Harry Potter fan fiction. In the decades since the Harry Potter books were published, fans have written literally hundreds of thousands of Harry Potter stories of their own, and
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