Isabelle Levent

What’s difficult is to state our aesthetic values clearly enough to enable the program itself to make the evaluation at each generation.

The Lab’s primary focus is on the ways in which artists and designers are adopting, adapting and remaking AI processes, building their own datasets and reaching into the ‘grey box’ of AI technologies. 

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

Because creativity  by definition  involves not only novelty but value, and because values are highly variable, it follows that many arguments about creativity are rooted in disagreements about value. 

"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’

Crawford elaborated in an interview. “When you have this enchanted determinism, you say, we can’t possibly understand this. And we can’t possibly regulate it when it’s clearly so unknown and such a black box,” she says. “And that’s a trap.”

Many methods for creating these models don't (and to be honest can't) attach the name, website and other details of every image and piece of text used to a create a new image in the metadata to every step of the process.