Isabelle Levent
@isabellelevent
Isabelle Levent
@isabellelevent
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.
“Our business has never been about the ease of creating imagery or the resulting volume. It is about connecting and cutting through.”
Thoughtful attention to detail requires discipline and objectivity. It entails accepting standards and limitations that forbid the indulgence of impulse or whim. It is this selflessness that, in connection with bullshit, strikes us as inapposite. But in fact it is not out of the question at all. The realms of advertising and of public relations,
... See moreWe 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 moreLike oil and land, data are a common that is commodified by private actors for profits. The commons being commodified is our essence as humans: our interactions with society at large.
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
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