There’s increasing evidence that LLMs are more than that. Especially work by Anthropic has been showing how to trace the internal logic of an LLM as it answers a question. They can in fact reason over facts contained in the model, not just repeat already seen information.
A simple example is how LLMs do math. They are not calculators and have not memorized every sum in existence. Instead they deploy a whole set of mental math techniques that were discovered at training time. For example, Claude uses a special trick for adding 2 digit numbers ending in 6 and 9.
Many more examples in this recent reach report, including evidence of future planning while writing rhyming poetry.
A simple example is how LLMs do math. They are not calculators and have not memorized every sum in existence. Instead they deploy a whole set of mental math techniques that were discovered at training time. For example, Claude uses a special trick for adding 2 digit numbers ending in 6 and 9.
Many more examples in this recent reach report, including evidence of future planning while writing rhyming poetry.
https://www.anthropic.com/research/tracing-thoughts-language...