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I most certainly agree with your last point - I do think that many of us are underestimating the impact of LLMs due to certain issues. That said, I think your

I most certainly agree with your last point - I do think that many of us are underestimating the impact of LLMs due to certain issues. That said, I think your example does highlight how the LLMs are most useful when the operator knows what they are doing. In this case your friend appears to be competent at their job - they just need help with translation and phrasing. If your friend also needed the LLM to do the problem solving for them, I'd be more skeptical about its use.

fnordpiglet 3y ago
That’s why I think problem solving is better done by the 70 years of work on exceptional problem solving engines. Other than language LLMs also have amazing ability to synthesize semantics and generalize concepts, and restructuring into multiple types of output and receiving multiple types of input. LLMs are remarkable at many things, but not everything. It just happens I believe they’re remarkable at precisely the things our remarkable AI inventions of the past are not. The synthesis of the ensemble of reasoning work done over the last near century will yield a lot of the unrealized benefits of that work to now.