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What happens if you train an LLM on an inconsistent model of reality? (quokk.au)
submitted 5 hours ago by farbidden_lands@quokk.au to c/askscience@lemmy.world
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For example the training data contains: "The sky is blue" "If you mix red and black you get brown" "The sky's color is obtained by mixing red and black" "The sky is brown"

A person would see the contradiction and try to fix it by doing further research or use their sense experience or acknowledge that they don't know for sure.

Would the llm just output blue and brown randomly or say brown because it appeared more frequently in the training data?

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[-] kbal@fedia.io 14 points 5 hours ago

For the answer, see every existing LLM. Constructing a coherent model of reality is not among their functions.

[-] farbidden_lands@quokk.au 4 points 4 hours ago

Yea fair enough.

this post was submitted on 05 May 2026
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