Isabelle Levent

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.

It becomes a question of who created a certain work of art.

The fact that adding keywords like  Let’s Think Step By Step , adding “Greg Rutkowski”, prompt weights, and even negative prompting are still so enormously effective, is a sign that we are nowhere close to perfecting the “language” part of “large language models”.

A recurring theme in participant feedback was that the language model lacked taste and intentionality...In contrast, good writers are skilled not only in producing but also discerning good language. In other words, they have taste, the ability to decide why one sentence is interesting while another is not.

As more artists gain access to AI and take up the tools, artists will have a whole new look — both how they look making art and how their art develops.

Whereas if you put them in a group, they’ll go “dog” and someone else will go “space dog” and someone else will go “Aztec space dog,” and then all of a sudden, people understand the possibilities, and you’re creating this augmented imagination — an environment where people can learn and play with this new capacity. So we found that people really li

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.