Isabelle Levent
@isabellelevent
Isabelle Levent
@isabellelevent
If I have an idea for a novel, but the computer writes most of it, is it still my story? This question will not be answered with numbers about how many words I or the computer wrote. It’s going to be answered culturally; it’s going to be a feeling we have about where authenticity or truth really lies.
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.
I am utterly disgusted. If you really want to make creepy stuff, you can go ahead and do it. I would never wish to incorporate this technology into my work at all. I strongly feel that this is an insult to life itself
Instead, I’d like us to ask: in whose voice do our machines write? What voices do they obfuscate? Where do their words come from? In short, I’d like us to ask questions about power, and the ways in which it functions through and around language.
The deepest cases of creativity involve someone’s thinking something which, with respect to the conceptual spaces in their minds, they couldn’t have thought before. The supposedly impossible idea can come about only if the creator changes the pre-existing style in some way. It must be tweaked, or even radically transformed, so that thoughts are
... See moreBecause 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.
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.
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”.