As a lawyer with 13 years experience in my previous life, I can tell you that you can't trust a paralegal either. What it does do is give you the "first pass" - if I could automate the first pass over 100,000 pages and the AI highlights say 100 examples of the content I am looking for, of which say 10 are good quality examples of what I am looking for, then we are off to a very good start.

I honestly haven't found hallucination to be a problem on GPT-4 when asking it to analyze or parse a dataset but can acknowledge it being possible (I just haven't encountered it).

I think that if we consider the accuracy rate as measured in various ways being roughly that of a human, then you're trading human mistakes for AI mistakes in exchange for dramatically lower costs and a dramatically higher speed of processing. You might even say a higher level of reasoning. In my own interactions it's been fantastic at reasoning clearly and quickly outside of complex trick questions. Most scenarios in life aren't generally full of trick questions.

How many tools are accurate? Every tool needs guidance and quality checks. If you turn the knob of your light switch and you stay in the dark, you need to find out whether it is the switch, the bulb or the net is broken.