This is indeed interesting. In certain use cases where precision is paramount, we might opt for manually crafted code for the computations. This allows us to be confident in the efficiency of our manual method, rather than relying on LLM for such a specific task. However, it remains unclear whether this would be directly integrated with the network or simply be a tool at LLM's disposal. Interestingly, this situation seems to parallel the choice between enhancing the human brain with something like Neuralink and simply equipping with a calculator.