I’ll agree there’s huge potential for ‘assistant’ roles (exactly like you’re using) to give a concise summary for quick understanding. But LLMs aren’t knowledgeable like an accredited professor or tutor is, understanding the context and nuance of the topic. LLMs are very good at scraping together data and presenting the shallowest of information, but their limits get exposed quickly when you try to go into a topic.

For instance, I was working a project that required very long term storage (+10 years) with intermittent exposure to open air, and was concerned about oxidation and rust. ChatGPT was very adamant that desiccant alone was sufficient (wrong) and that VCI packs would last (also wrong). It did a great job of repackaging corporate ad-copy and industrial white papers written by humans, but not of providing an objective answer to a semi complex question.