What no-one talks about, is energy use (power). Humans idle at ~100W, with (iirc) something like 20..25% going to the brain. We are extremely versatile in the

What no-one talks about, is energy use (power). Humans idle at ~100W, with (iirc) something like 20..25% going to the brain. We are extremely versatile in the types of activity we can do, and most of us can put in a # of hours concentrated work each day. And are self-managing for the most part. Contrast with LLMs: the most capable ones run on huge clusters of specialized hardware. Which was manufactured at great expense. And no doubt take many kW if not MWs to do things a (one) smart human, or a few humans can do. With the LLM stuck in its datacenter racks, while humans happily walk around. Yeah there's smaller LLMs you can run on a laptop. Can those do the same as say, GPT4? Training on said laptop too? Sure, human meatbags are messy, calories going in are expensive ones, and you can't pull humans from storage & switch on/off as needed. And current AI is no doubt at the beginning of a lot of optimization. Both in architecture & implementation. But.. all that functional improvement & optimization has yet to be done. On average, humans still give a lot of bang per calorie. Until LLMs or other AI reverses that, we're a long way from being outcompeted on the more difficult / interesting jobs. As for simple / boring jobs: I welcome our AI overlords. More time for us to do fun stuff.