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.
HFT algorithmic robo-traders still gonna scalp daily delta, often in an incestuous and self-reinforcing cycle based on financial headlines
I’ve been bearish on Tesla for years, but it’s getting increasingly obvious with growing EV competition that their market cap is/was absurd hype that defies fundamentals or even possible value if Tesla was a monopoly