I agree. I'm a civil engineer / project manager and so far I've been VERY impressed with chatGPT and, in particular GPT-4.
However, a huge part of my job has always been translating vague desires into very precise specifications with constraints and expectations. Going further, it has often been my job to take those specs/constraints and then break them into chunks and feed them to junior staff who are often very smart, but lack domain specific context and knowledge. Giving them a bad prompt produces bad results.
This article seems to be based largely on data collected with a rather poorly engineered prompt, IMO. He asked it a question that would be reasonable to ask a fellow physician. The problem is GPT is NOT a fellow physician with domain specific context and knowledge, and isn't aware of a bunch of implicit expectations they didn't realize they had. However, I actually think there's a really good chance that a better worded prompt would have scored a lot better here.
This type of communication skill has always been hard for a lot of people, and will remain in high demand for a long time.