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> Notably, this still ends up being in some way a statistical endeavor rather than truly learning addition, as even the fine-tuned model doesn't reach 100% accuracy

If that's our metric then most humans haven't truly learned addition either

For any neural network, the standard you can expect for any learned skill is closer to a human learning that skill than to a computer programmed to do that thing. There will be occasional mistakes

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How LLMs tackle addition is an interesting question in its own right, independently of whether their accuracy provides a metric for judging their ability relative to that of typical humans.

Well we have formally learned addition but most of the time I actually do it, I'm not doing it, I'm going based on some half remembered pattern checked with statistical expectations.

I'm sure the llm could formally do it too

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