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Draw a millipede as a dog:

Gemini responds:

Conceptualizing the "Millipup"

https://gemini.google.com/share/b6b8c11bd32f

Draw the five legs of a dog as if the body is a pentagon

https://gemini.google.com/share/d74d9f5b4fa4

And animal legs are quite standardized

https://en.wikipedia.org/wiki/List_of_animals_by_number_of_l...

It's all about the prompt. Example:

Can you imagine a dog with five legs?

https://gemini.google.com/share/2dab67661d0e

And generally, the issue sits between the computer and the chair.

;-)





This is basically the "Rhinos are just fat unicorns" approach. Totally fine if you want to go that route but a bit goofy. You can get SOTA models to generate a 5-legged dog simply by being more specific about the placement of the fifth leg.

https://imgur.com/a/jNj98Pc

Asymmetry is as hard for AI models as it is for evolution to "prompt for" but they're getting better at it.


haha fair point, you can get the expected results with the right prompt, but I think it still reveals a general lack of true reasoning ability (or something)

Or it just shows that it tries to overcorrect the prompt which is generally a good idea in the most cases where the prompter is not intentionally asking a weird thing.

This happens all the time with humans. Imagine you're at a call center and get all sorts of weird descriptions of problems with a product: every human is expected to not expect the caller is an expert and actually will try to interpolate what they might mean by the weird wording they use




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