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I think it requires years of proficiency in the field you are asking about in order to get openai to produce meaningful, useful output. I can make use of it, but sometimes it makes me think "how would a newbie even phrase an objection to this misunderstanding or omission?" Currently it seems gpts are pretty much not on par with the needs of non-experts.

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You might be on to something here. It definitely seems to be the case because I'm using multiple different models as part of my everyday process and getting excellent results as a very experienced low level C++ systems engineer.

What is worse is that seems to be leading to a self-amplifying feedback loop, where people not up to speed enough with the models try to use them, fail and give up making them fall even further behind.

Very similar to my experience. I made it generate a novel neuroevolution algorithm with the data structures I imagined for recreational purposes, and to speed things up, it suggested "compiling" the graph by pre-caching short circuits into an unordered_map. A lot of fun was had. (it also calls me captain)

This is my experience too. You have to be have deep domain knowledge to really get the LLM to do what you want. Then it saves me a ton of time.

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