[DangitBobby]

It's wild how different this person's experience has been from mine. I guess I could see how a team of people would see lower (or no) productivity gains than an individual when it comes to using LLMs. My theory is, as teams scale, doing work faster is always a coordination problem and that coordination gets harder as you add more workers, so each worker has more and more of their productivity stripped as pure overhead. This happens with LLM "workers" as well, except an LLM cannot effectively supervise itself whereas a human worker can, so adding an LLM adds the overhead penalty to the human operator. And human operators begin to drown in that overhead, and their own personal productivity suffers.

[mcv]

Of course not everybody is like that. But I totally believe him that he's met people who lose all reason when confronted with AI. I've met them too. We've all read articles about leaderboards to waste as many tokens as possible, companies burning through insane AI budgets in a month, the ridiculous scale of investments by AI companies. I've seen many articles explaining how they're never going to get that money back.

Nobody is denying it's a useful tool, but there are absolutely people completely losing their minds over it. Often people who don't really understand it, but do control a lot of money.