> this is shockingly close to replacing an entire role at companies with only a couple hours of effort. and > It seems like there’s almost no limit to how good GPT could get at this. I don't see how that's a valid conclusion given the results. 2 simple things right, moderate to difficult things wrong? Hardly a ringing endorsement.
Feels extremely overblown. Very impressive, don't get me wrong, and is yet another bridge closer to letting business side do plain text queries.
But that said, stuff like this has existed for awhile, and it's certainly not replacing analysts. For a start, this assumes a VERY clean model, which is of course what you strive for, but the moment you step out of FAANG you'll find that many places have a decent, but not ideal, model/warehouse/db which only makes things like this worse.
Getting the simple examples right is interesting, but hardly replacing an analyst. A basic background around tech and some skill navigating w3schools would replace an analyst if this was the bar.
The mildly complex queries being "almost" right is frankly horrifying. Others have mentioned how much of a "oh fuck" it is to send out bad data, and having some AI generate your answers an be SLIGHTLY off is basically worse than it being obviously off. You now have to check every query it generates for errors, because you won't be able to glance check if its sane or not.
Finally, at least where I work, these probably wouldn't even qualify as medium complexity queries? I don't really know how the industry at large would qualify these, but "using 2 inner joins, a where, a group, and a order" all falls under beginner skills in my eyes?
Its still fascinating, and I'm glad they showed HOW they did it, but this isn't replacing anyone, at least if you're paying taxes off the data.