Isabelle Levent

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”.

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.

the reconfiguration of culture as a domain of not just human-made meanings but also machinic calculation

The Lab’s mission is also to develop a critical literacy that can help cultural institutions approach AI technologies as advanced and multilayered media. While reliant on the highly specialised theoretical work needed to untangle issues such as ‘distributed authorship’ (Ascott 2005; Zeilinger 2021) involved in artistic research, the Lab does not sh

I think that the language model’s failure to dismiss the class results from a slightly different cause than my student’s failure to dismiss the class with the same utterance. While the student’s failure arises from their lack of authority, the model’s failure results from the fact that it functions more like a  citation  of language rathe

New art-making technologies change art in consistent ways, and studying the past helps us understand how things will change in the future.

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.