AI images are quick and easy to make. They look great at first sight, and they quickly replaced the use of stock images. But, like everything cheap and easy, they come with trade-offs. A short critique of the pure AI image.

AI image generation is essentially a truncated exercise in taste; a product of knowing which inputs and keywords to feed the image-mashup machine, and the eye to identify which outputs contain any semblance of artistry. All that is to say: AI itself can’t generate good taste for you.

The incident once again highlights a common problem with all generative AI tools: whether it’s AI-generated images, music, or writing, these works are inherently derivative because anything they produce is made up of remixed pieces of work in the training data.

It’s been a while since a particular piece of technology has felt as fraught, efficient, and consequential as today’s text-to-image AI art-generation tools like DALL-E 2 and Midjourney.

“I like it when people make clear artistic decisions,” he said. “In a time of so-called A.I., personality becomes even more important.” Using technology to randomize content and narrative, he added with a laugh, “becomes a little bit garbage.”

In design, AI inspires me no more than elevator music or a business presentation. However, it often shows me what I do not want. When I ask Chat-GPT how I could better phrase something, I almost always get the most uninteresting, boring, often meaningless answer. As an author that writes to say something meaningful, get upset about this, and in res... See more

When I hear artists and AI evangelists argue about whether people who generate text using ChatGPT or images using Midjourney are truly creative, I wonder about the question behind the question.