Not familiar with the cited essay (added to reading list for the weekend), but the post does make some generally good points on generalization (it me) vs specia

Not familiar with the cited essay (added to reading list for the weekend), but the post does make some generally good points on generalization (it me) vs specialization, and the benefits of an optimized and scalable generalist approach vs a niche, specialized approach, specifically with regards to current LLMs (and to a lesser degree, ML as a whole). Where I furrow my brow is the casual mixing of philosophical conjecture with technical observations or statements. Mixing the two all too often feels like a crutch around defending either singular perspective in an argument by stating the other half of the argument defends the first half. I know I'm not articulating my point well here, but it just comes off as a little...insincere, I guess? I'm sure someone here will find the appropriate words to communicate my point better, if I'm being understood. One nitpick on the philosophical side of things I'd point out is that a lot of the resistance to AI replacing human labor is less to do with the self-styled importance of humanity, and more the bleak future of a species where a handful of Capitalists will destroy civilization for the remainder to benefit themselves. That is what sticks in our collective craw, and a large reason for the pushback against AI - and nobody in a position of power is taking that threat remotely seriously, largely because the owners of AI have a vested interest in preventing that from being addressed (since it would inevitably curb the very power they're investing in building for themselves).