Isabelle Levent
@isabellelevent
Isabelle Levent
art and
What do you do when you know that the environment is going to change but you want to have other members of your species that are reasonably well aligned? Caregiving is one of the things that we do to make that happen. Every time we raise a new generation of children, we’re faced with this difficulty of
here are these intelligences, they’re new,... See more
here are these intelligences, they’re new,... See more
Julien Crockett • How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
With so much focus on creation, few systems consider revision. Revision—this is where the average writer gets the most outside help.
Katy Gero • AI Reveals the Most Human Parts of Writing
"The data we licensed from Shutterstock was critical to the training of DALL-E,” said Sam Altman, OpenAI’s CEO. “We’re excited for Shutterstock to offer DALL-E images to its customers as one of the first deployments through our API, and we look forward to future collaborations as artificial intelligence becomes an integral part of artists’
... See moreShutterstock • SHUTTERSTOCK PARTNERS WITH OPENAI AND LEADS THE WAY TO BRING AI-GENERATED CONTENT TO ALL - Press and Media - Shutterstock
art and Human-Centered AI
The political scientist Henry Farrell has argued that we’ve had artificial intelligences before in the form of markets and states. A market is just a big information-processing, decision-making device. So, in a funny way, anytime I see that something costs $4.99 and I pay it, I’m giving up a kind of autonomy to the force of the market, right? I’m... See more
Julien Crockett • How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
“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
We find that models learn just as fast with many prompts that are intentionally irrelevant or even pathologically misleading as they do with instructively “good” prompts. Further, such patterns hold even for models as large as 175 billion parameters (Brown et al., 2020) as well as the recently proposed instruction-tuned models which are trained on
... See moreAlbert Webson • Do Prompt-Based Models Really Understand the Meaning of their Prompts?
