Isabelle Levent

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.

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,

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”.

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

The issue here does not concern how many jobs will be created, how much income generated, how many pollutants added... Rather, the issue has to do with the ways in which choices about technology have important consequences for the form and quality of human associations.