Isabelle Levent

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

Second, we should create a legal regime that can make our data’s collective value something we can bargain over as a group.

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”.

Our intuitive moral understanding of actors and transgressions may be at odds with the inherent complexity of AI systems.

Strict synonymy, or even a drop-in replacement word, is not essential for most writers, who instead may use a thesaurus to expand an idea or discover a new one. 

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.

This is posing questions to writers everywhere: Which parts of writing are so tedious you’d be happy to see them go? Which parts bring you the inexplicable joy of creating something from nothing? And what is it about writing you hold most dear? 

You must never think at the typewriter — you must feel. Your intellect is always buried in that feeling anyway. (Ray Bradbury)

My lesson from these two examples is that it might be possible to make prompting “invisible” by making it part of the UI, and finetuning output for as much of the writer’s context as possible to make it more useful. Latency matters, and cost matters, which are wonderful because these tend to be “regular engineering” type problems rather than AI