I can do math myself, thank you very much. If I take the effort to pull out a math calculating machine, the calculation is important enough that I want 99.99% certainty that the answer is right. Under the premise that the answer is wrong, I want 99.999% certainty that the failure is related to data capture and not the calculating mechanism itself.
Within the context of LLMs, the goal should be to make them recognize that the problem at hand is not well suited for its own set of capabilities, and to defer to an external system. In the case of ChatGPT, any numeric answer to "15+23" (including and specially "38") is wrong. The correct answer is "sorry, as a Large Language Model I can retrieve information that is encoded in English and I am not specially suited to solve math problems". A LLM-empowered Alexa may be proactive, run a Calculator program for you and report back "According to bc program, the answer is 38. Here's the full log for you to check if this is what you wanted"
This is not so much AGI as deliberate programmatic patching, not unlike the disclaimers when you ask ChatGPT about controversial topics.