Isabelle Levent

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

They thought it would be particularly useful for writing in a certain voice or character, or for coming up with thematically exciting words. They wondered what kind of thesaurus would come from a corpus of nautical novels (like Moby Dick)

Allen feels the same way. “I believe if you focus on the negative with AI, then that will come true,” he says. “And if we get more people focusing on the good and positivity that we can do with it, then that will come true.”

However, we often found that it was the unexpected differences between the prompt and the generated image’s interpretation of it that yielded new insight for and excitement from participants.

Now none of this is meant to say that I think programmers, artists and engineers have no responsibilities when it comes to the outputs of machine learning models. In fact, I think we bear responsibility for everything these models do. (I never, for example, attribute authorship to a program or a model. If I publish the results of a text generator,

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