In science fiction, computers are typically portrayed as unemotional, detached, soulless. Their output is logically correct but cold. Thought without feeling. However, as we start to see the emergence of AI-created images, the opposite seems to be true.
Take the first image in this recent Stratechery article. It’s an image generated using Midjournery, based on a simple text prompt. It captures the feel of the concept Thompson is trying to get across, and as such works well as an illustration. However, if you look closer:
my boy on a bicycle, meanwhile, is missing several limbs, and his bike doesn’t have a handlebar
I intentionally studied the image when I first came across it (given the subject of the article, the fact that it was AI-generated wasn’t a surprise, and these images still pique curiosity), but I completely missed these logical flaws until I went back and checked. The AI had done a pretty good of evoking the emotional meaning of the prompt, while completely dropping the ball on the structural details.
This seems to be a theme across generative AI. Beyond images, GPT-3 will generate flowing, natural-seeming prose that, when you think about it, comprises entirely dead ends and wild goose chases rather than coherent reasoning. Copilot will generate code that, at a glance, appears to be just what you need, but doesn’t actually compile.
Of course, these models will get better, and the think will catch up with the feel (whether they can start to really construct a bike or an argument is an entirely different question). However, I think it’s interesting that their first successes were with the heart rather than the head.
An android dreaming of electric sheep, by Stable Diffusion