Still amazed by this:

Here’s CLIP+VQGAN (trained on internet photos and their accompanying text), prompted two different ways:

“A car driving down a desert road in monument valley”

“A car driving down a desert road in monument valley | dramatic atmospheric ultra high definition free desktop wallpaper”

The SAME algorithm was capable of producing both images but thought the first one was a better answer until I changed my question.

That’s a problem with training AIs on huge amounts of internet data - a lot of that data isn’t going to be what you want, and the AI doesn’t know the difference.

Here’s “a toaster”

The toaster is partially made of toast so I tried to get it to generate a toaster made of chrome instead. Turns out I don’t think I can get it to do a toaster made of chrome without in some way incorporating the logo of Google Chrome. General internet training seems to poison certain keywords. “a chrome toaster | chrome”

We may never know all that’s in internet training data, and yes, that should scare us a little.

I generated a whole bunch more toasters that I collected as bonus content. Become an AI Weirdness supporter to get it! Or become a free subscriber to get new AI Weirdness posts in your inbox.

You can try CLIP+VQGAN for free by following the instructions in this tutorial (no coding or Spanish language skills necessary.)