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
“There are real concerns with respect to the copyright of outputs from these models and unaddressed rights issues with respect to the imagery, the image metadata and those individuals contained within the imagery,” said Peters.
James Vincent • Getty Images bans AI-generated content over fears of legal challenges
A much better way of thinking about them is as a technology that allows humans to access information from many other humans and use that information to make decisions.
Julien Crockett • How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
on metaphors for LLMs
However, we often found that it was the unexpected differences between the prompt and the generated image’s interpretation of it that yielded new insight for and excitement from participants.
Dava Newman • When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Hayao Miyazaki Calls Artificial Intelligence Animation ‘An Insult To Life Itself’
Vikram Murthiindiewire.com
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Poetry and
How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
Julien Crockettlareviewofbooks.org
If it was possible to deduce how much of an influence each individual image has on the final outcome (and the owner of each image was known and labelled, which I currently doubt happens), would it be simple to compensate people then?