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.

We find that models learn just as fast with many prompts that are intentionally irrelevant or even pathologically misleading as they do with instructively “good” prompts. Further, such patterns hold even for models as large as 175 billion parameters (Brown et al., 2020) as well as the recently proposed instruction-tuned models which are trained on

New art-making technologies change art in consistent ways, and studying the past helps us understand how things will change in the future.

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.”