Sure, if that was the title of the article. Instead its saying its ready to replace a full time position, which its not even close to.

And this is something people have been saying about things like AI and crypto for years now. They've both made some interesting developments, and they both face serious hurdles (some fundamental).

AI obviously has a ton of real world use cases, but overhyping things like this doesnt actually help.

A car is mostly an amalgamation of mechanical devices and we have a solid track record of steadily and incrementally improving those over dozens of millennia.

Modern cars also have a lot of computing power in the form of fairly dumb systems that are good at sensing things and following rules e.g. "based on conditions X, Y, and Z the flow of the fuel injector nozzle should be N". Got a solid track record here too albiet one that's decades long and not millennia.

A tool that replaces a human data analyst needs to do a lot of inference. When I'm translating stakeholder requests into code and reports, it's about 10% coding and 90% human inference. Remains to be seen how good machines can get there.

Large language models are very intriguing as a technology to replace business people. Make a few PowerPoint slides, fill in an excel sheet. Generate a summary for a pointless meeting.