There are two problems in the line of thinking being criticized here that weren't touched on. 1) When machines automate a previously human endeavor, we recalibrate our concept of what is granted by nature, and that stuff becomes commoditized and less interesting, focus moves to where automation is lacking. So all the stuff the AI takes over will just become a far smaller part of the economy which will reorient itself into wherever humans remain. Humanity is the constant unit of the economy, not amounts of work as we conceive of them today. That was always shifting. 2) There is no path to AGI (autonomous creative work) from LLMs today. LLMs are the result of the transformers paper solving the computational problem of applying RNNS to language. That allowed the assimilation of language operations, intellectual operations, into a machine. It was done on civilization's entire body of work. The next step, getting all the proprietary knowledge that ppl have that gives them an edge, a way to make a living, into some data form, and then creating a new computational architecture to assimilate that. How is that going to happen. You've got these efforts in China and Meta to get ppl to train machines replacements for ppl, but that's like starting at the dawn of the printing press or writing and saying, let's write down what we know. Not only is it going to take a looong time, it's a process that is at odds with itself. No-one is rewarding these ppl enough to put themselves out of a livelihood. So it's going to take a long time, and it's going to be filled with garbage, think a million Galen Ersos baking in flaws to the Death Star.