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LLMs can’t reason — they just crib reasoning-like steps from their training data (pivot-to-ai.com)
submitted 2 months ago by dgerard@awful.systems to c/techtakes@awful.systems
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[-] ebu@awful.systems 24 points 2 months ago

because it encodes semantics.

if it really did so, performance wouldn't swing up or down when you change syntactic or symbolic elements of problems. the only information encoded is language-statistical

this post was submitted on 13 Oct 2024
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