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Fascinating to someone (a noob, like me) who basically thinks of the system as a black box where it can be mesmerizingly alluring to think of it as awake and alive until it does something that to it is completely appropriate, as you describe, but is completely ridiculous to a person who knows conceptually what form the answer should take. A Turing test can't be passed successfully until the machine can disambiguate concepts from mere stochastic token selection. That obviously isn't what a LLM is designed to do, so while it may inch ever closer to the Turing criteria, it probably can't fool a subject matter expert in any sufficiently complex area.