Leopards, faces...the usual

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tough but fair

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I'm curious how to understand within the framework of stochastic parrots the fact that LLMs can produce simple arithmetic facts (like "what is a + b?" for a and b 20 digits, let's say) with very high accuracy, when neither a nor b are in the training data. Do you have thoughts on this?

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oh it's clearly a (very good) joke

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I can't find any info about the poster but this one just looks like a joke?

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