Isabelle Levent
@isabellelevent
Isabelle Levent
User-generated content platforms were a huge source for the image data. WordPress-hosted blogs on wp.com and wordpress.com represented 819k images together, or 6.8% of all images. Other photo, art, and blogging sites included 232k images from Smugmug, 146k from Blogspot, 121k images were from Flickr, 67k images from DeviantArt, 74k from Wikimedia,
... See moreAndy Baio • Exploring 12 Million of the 2.3 Billion Images Used to Train Stable Diffusion's Image Generator - Waxy.org
Allen feels the same way. “I believe if you focus on the negative with AI, then that will come true,” he says. “And if we get more people focusing on the good and positivity that we can do with it, then that will come true.”
Steven Vargas • How AI-generated art is changing the concept of art itself
Maybe the creative work is now to figure out ways to nudge AIs into being weird and interesting rather than producing inane imitations of the most ordinary human writing
Allison Parish • Language models can only write poetry
Research talk: Prompt tuning: What works and what's next
youtube.comPrompting and
They thought it would be particularly useful for writing in a certain voice or character, or for coming up with thematically exciting words. They wondered what kind of thesaurus would come from a corpus of nautical novels (like Moby Dick)
Lydia Chilton • How a Stylistic, Machine-Generated Thesaurus Impacts a Writer’s Process
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Hope Schroederarxiv.org
Imagine an art-lover at an exhibition entitled ‘Dots 2008’. He speaks to two artists, each displaying a painting. In both cases, the art-lover cannot see past the seemingly random arrangement of dots of paint. He mentions this to the first artist, who says: “Oh, no, they’re not randomly placed. Each dot represents a friend of mine. The colour of
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