All image models can generate images that were not in its training dataset, but it can't generate reductive extreme cases like your example.

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ge96 3 hours ago | parent [-]

What about it is extreme? It's a concept, like "generate an xray image" eventually hopefully the cure to cancer could be represented as a simple molecule or whatever, I'm not saying I know.

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minimaxir 2 hours ago | parent [-]

There is currently no knowledge nor progress for what a cure for cancer, and nothing a LLM can draw upon.

You could generate "pregnant Elon Musk with four arms and three eyes doing yoga poses" because the image models have enough visual concepts of each of those individual things, but that specific image is (likely) not in any training dataset.

	▲	ge96 2 hours ago \| parent [-]
		What I'm saying is if this thing can generate random things (noise) couldn't it make that or new tech like negative mass. Anyway I get it too if we don't know then something we made wouldn't know.