In this thread you chastised them for “using it in production” when their use case was simply a lab for teaching. And you suggest that googling for days and reading countless blog posts and forums is impervious to wrong or dated information, which is quite a position to take.
Their use case was a perfect fit for a LLM, and I suspect it saved them weeks of effort in the process, with likely fewer security flaws as a result. But keep up that anti-LLM advocacy, I’m sure you are very close to achieving the goal of society abandoning the technology.
Set up some desktops with code -> Declarative configuration management -> Ansible
This task seems easy to an expert. As someone who's been a professional learner (as a programmer) for 25 years, it's far far easier with ChatGPT to get a summary of a field and a starting point than it ever was with just Google and some random blogs bouncing around the internet. Now with modern o3 (Chat GPT Pro) models you can go from a vague question to a summary of suitable solutions and some code samples in one prompt.
Now obviously AI is not able to create complete solutions alone. It's just another tool. Sometimes ChatGPT makes glaring mistakes in how it approaches a problem. So (for now) it is still a collaboration requiring smart humans in the loop.