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Comment by spencerchubb

it's not "just" model error

during pre-training, there is never an incentive for the model to say "I don't know" because it would be penalized. the model is incentivized to make an educated guess

large transformer models are really good at approximating their dataset. there is no data on the internet about what LLMs know. and even if there were such data, it would probably become obsolete soon

that being said, maybe a big shift in the architecture could solve this. I hope!

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