Over time I realized that the strength of GPT is not really in fact finding, because there will always be a limitation with it's training dataset, it's strength

Over time I realized that the strength of GPT is not really in fact finding, because there will always be a limitation with it's training dataset, it's strength is literally in language. One of the most useful things I've gotten ChatGPT to do is to build a friends resume going into tech, being able to write a very unprofessional sentence like: "did some react, css and js coding" and just tell it to "make it sound more professional with metrics" and it spits out a perfect bulleted list in the exact structure that every article on resumes of the past 10 years told you to do. Writing marketing copies is another place I really found it useful, almost as if I was sitting with a marketing professional telling them "I want to say this: ...." and they return me a perfect marketing copy. I don't think the solution to GPT is to "fix" the hallucinations, rather it would be to educate users on what is and isn't possible with it. I think a similar thing happened with Siri when it first came out, people thought it was magic at first but very quickly we all learned what it's good (and not good) at.