Isabelle Levent
@isabellelevent
Isabelle Levent
@isabellelevent
In the course of a year, the tech industry’s dreary post-social, post-crypto interregnum was rapidly supplanted — largely as the result of public-facing efforts by OpenAI, which is reportedly in talks with Microsoft about a potential $10 billion investment — by a story about inevitable technologies that are so transformative, so incomprehensibl
... See moreA poem, I would say, is the site where “hollow and void” poetry is tactically deployed in a physical and social context, in order to achieve a particular effect. The poem unites poetry with an intention. So yes, a language model can indeed (and can only) write poetry, but only a person can write a poem.
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.
There’s another edge case as well; in theory, with the same prompts and the random seed that’s used for generating the images, you could end up with someone else generating the same, or a very similar, image as what you created.
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
... See moreWhereas 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
... See moreThe 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”.
Tech and Society and