[adastra22]

Maybe. That’s not an obvious conclusion in the strong sense that you mean it here. If you train a LLM on transcripts of multiplying very large numbers, machine generated and perfectly accurate transcripts, the LLM still exhibits the same sorts of mental math errors that people make.

Math, logical reasoning, etc. are cultural knowledge, not architecturally built-in. These biases and fallacies arise because of how we process higher order concepts via language-like mechanisms. It should not be surprising that LLMs, which mimic human-like natural language abilities (at the culture/learned level of abstraction, if not computation substrate) exhibit the same sorts of errors.