Isabelle Levent
@isabellelevent
Isabelle Levent
It becomes a question of who created a certain work of art.
Haje Jan Kamps • Copyright law is going to get real interesting
Tech Ethics and
On Bullshit
The document discusses the nature and prevalence of bullshit, distinguishing it from lying and exploring its connection to skepticism and the pursuit of personal sincerity.
www2.csudh.eduTech and Society and
Our intuitive moral understanding of actors and transgressions may be at odds with the inherent complexity of AI systems.
Sydney Levine • Who gets credit for AI-generated art? – MIT Media Lab
As part of this model where the ‘back-end’ gets more attention than the artefact, a systematic dismantling of the myth of ‘the artist’ as a stand-alone genius, standing above, or aside from the world, needs to be enacted.
Creative AI Lab • Creative—Critical—Constructive —Collaborative—Computational: Towards a C5 model in Creative AI
Much of the discussion this year is about text-to-image, but I believe this is a temporary stage; these things are going to continue evolving very quickly.
Aaron Hertzmann • When Machines Change Art
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?
"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’
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