We have systems around humans that exist to manage expertise gaps, credibility signals, and accountability. This is part of what makes humans as good as they are, along with specialized training and some measure of meritocratic selection. We license and regulate and account and litigate to make a system that responds and improves.

Some of this might be applicable to LLMs, but some isn’t and much of it would be resisted. This is one reason we’re not likely to get “as good as a human” because at some level we’re not optimizing for the outcomes; we’re optimizing for speed, convenience, some participant’s economics, and underlying beliefs.