Isabelle Levent

This builds on a growing body of work that our ‘‘mind perception’’ (which manifests as inferences of intentions, beliefs, and values) meaningfully varies across individuals and shapes our moral judgments

It becomes a question of who created a certain work of art.

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

Maybe the creative work is now to figure out ways to nudge AIs into being weird and interesting rather than producing inane imitations of the most ordinary human writing

The “story seeds” control allowed writers to experiment with using Wordcraft to generate ideas at the very beginning of the writing process. MT described the “story seeds” control as giving her “a place on my computer to go that looked like a blank page but did not behave as such.” E

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,

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.”