Isabelle Levent

A lot of the famous artists who use the platform, they’re all saying the same thing, and it’s really interesting. They say, “I feel like Midjourney is an art student, and it has its own style, and when you invoke my name to create an image, it’s like asking an art student to make something inspired by my art. And generally, as an artist, I want

Indeed, AI is a diffuse term that corresponds to a web of human actors and computational processes interacting in complex ways

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

As more artists gain access to AI and take up the tools, artists will have a whole new look — both how they look making art and how their art develops.

A recurring theme in participant feedback was that the language model lacked taste and intentionality...In contrast, good writers are skilled not only in producing but also discerning good language. In other words, they have taste, the ability to decide why one sentence is interesting while another is not.

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

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.

OpenAI, which has been accused by its peers of releasing tools to the public with reckless speed, is particularly good at designing interfaces for its models that feel like magic. “It’s a conscious design imperative to produce these moments of shock and awe,” Crawford says. “We’re going to keep having those moments of enchantment.”

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