AI Weirdness: the strange side of machine learning
The world through the eyes of a neural net

The world through the eyes of a neural net

What would happen if I fed a video to an AI that turns images into blobs of labeled objects, and then fed THAT video to another AI that attempts to reconstruct the original picture from those labeled blobs? I used runwayml [https://runwayml.com]’s new chaining feature to tie
The future of sparkling water

The future of sparkling water

Now that it’s summer, I’m inhaling flavored seltzers - you know, the carbonated waters that taste as if you’re drinking plain water while someone gently mists your face with mango juice. My favorite flavor is pink grapefruit, but I’m always a sucker for trying new flavors.
This is what tea will be like in The Simulation

This is what tea will be like in The Simulation

What would it look like if, in the distant future, a group of machine intelligences tried to make tea? Not just to brew tea, but to recreate the entire concept from long-forgotten synapses buried deep within the hidden layers of their virtual brains? To see what that might be like,
AIs named by AIs

AIs named by AIs

Neural networks can be good at naming things, I’ve discovered. Recently I’ve been experimenting with a neural network called GPT-2 [https://aiweirdness.com/post/185085792997/gpt-2-it-cant-resist-a-list], which OpenAI trained on a huge chunk of the internet. Thanks to a colab notebook implementation by Max Woolf [https://github.com/
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