In this Fully-Connected episode, Daniel and Chris explore DALL-E 2, the amazing new model from Open AI that generates incredibly detailed novel images from text captions for a wide range of concepts expressible in natural language. Along the way, they acknowledge that some folks in the larger AI community are suggesting that sophisticated models may be approaching sentience, but together they pour cold water on that notion. But they can’t seem to get away from DALL-E’s images of raccoons in space, and of course, who would want to?
Join the discussion
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Featuring:
• Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:
DALL·E: Creating Images from TextHow DALL-E 2 Actually WorksGoogle - Raccoons in Space!On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜 Something missing or broken? PRs welcome!
★ Support this podcast ★
Nyd den ubegrænsede adgang til tusindvis af spændende e- og lydbøger - helt gratis
Dansk
Danmark