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I'd be interested to see how much of this is because the model doesn't know what it's looking at and how much is because describing picture with a short amount

I'd be interested to see how much of this is because the model doesn't know what it's looking at and how much is because describing picture with a short amount of text is inherently very lossy. Maybe one way to check would be doing this with people. Get 8 artists and 7 interpreters, craft the initial message, and compare the generational differences between the two sets?

nerdponx 3y ago
Example: https://dalle.party/?party=42riPROf https://dalle.party/?party=42riPROf > Create an image of an anthropomorphic orange tabby cat standing upright in a kung fu pose, surrounded by a dozen tiny elephants wearing mouse costumes with mini trumpets, all gazing up in awe at a gigantic wheel of Swiss cheese that hovers ominously in the background. That's hilarious, but also hilariously wrong on almost every detail. There's a huge asymmetry in apparent capability here.
- s1artibartfast 3y ago
  It is hard to tell without knowing the actual instructions given to GPT for how to create a description. You would expect a big difference if GPT was asked to create a whimsical and imaginative description vs a literal description with attention to detail accuracy. Edit:In this case, it appears that it was a vanilla prompt "Write a prompt for an AI to make this image. Just return the prompt, don't say anything else.'