Earlier quoted context omitted.
Indeed. I can give a vague, poorly written, poorly spelled request to the free version of ChatGPT and it still gives me a correct response. As correct as usual at least (85-95%), but that's a different problem.
Correct compared to what? There's gonna be a lot of context implied in project docs based on previous projects and the LLM won't ask hard questions back to management during the planning process. It will just happily return naive answers from its Turing tarpit. No offense intended to anyone, but we already see this when there are other communication problems due to language barrier or too many people in a big game of…
Previous projects can be fed into LLMs either by context window (those are getting huge now) or fine tuning… but of course it's not a magic wand like some expect it to be.
People keep being disappointed it's not as smart as a human, but everyone should look how broad it is and ask themselves: if it were as good as a human, why would companies still want to employ you? What skills do you have which can't be described adequately in writing?