In a field with constant evolution, artificial intelligence news is starting to take a bigger share of my attention bandwidth. I’m really into breaking news.
OpenAI researchers this week presented GLIDE (Guided Language-to-Image Diffusion for Generation and Editing), a diffusion model that achieves performance competitive with DALL-E while using less than one-third of the parameters.
Text-to-image generation has been one of the most active and exciting AI fields of 2021. In January, OpenAI introduced DALL-E, a 12-billion parameter version of the company’s GPT-3 transformer language model designed to generate photorealistic images using text captions as prompts.
The GitHub of Glide went live on December 22nd, 2021. Sometimes breaking news in AI is actually worth talking about and I consider this such an occasion. Read More
Daily Archives: January 1, 2022
New Years Resolutions generated by AI
This month I’m beginning 2022 as the first Futurist in Residence at the Smithsonian Arts and Industries Building.
It’s weird to think of myself as a futurist. I write a lot about the algorithms we’re calling artificial intelligence (AI), but rather than deal with the humanlike science fiction version, I focus on what today’s much simpler AI is capable of. Since today’s AI relies on using trial and error to get better at predicting its training data, and its training data must necessarily be from the past, its job is really to predict the past. This has a big effect on what it’s like to use AI to predict the future.
Since we’re entering 2022, the folks at the Smithsonian thought it would be interesting if I could use AI to generate New Year’s Resolutions. What does it look like if I try to use AI trained on past data to suggest positive changes for the future? Read More
Check out the generator here
Rick's Cafe AI 