Isabelle Levent

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

There are a couple reasons why Wordcraft may have struggled with style and voice... Another reason could have been limitations of the underlying model. LaMDA and other similar language models are trained to be most confident on the kind of text they see most often–typically internet data. However, professional creative writers are usually writing

“Our business has never been about the ease of creating imagery or the resulting volume. It is about connecting and cutting through.”

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

With so much focus on creation, few systems consider revision. Revision—this is where the average writer gets the most outside help.

Imagine an art-lover at an exhibition entitled ‘Dots 2008’. He speaks to two artists, each displaying a painting. In both cases, the art-lover cannot see past the seemingly random arrangement of dots of paint. He mentions this to the first artist, who says: “Oh, no, they’re not randomly placed. Each dot represents a friend of mine. The colour of

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