alt Hacker NewsAnd you don't seem to be engaging seriously with respected experts in this field who say "scaling still works, and will work for a good while longer".
If your only reference points are LeCun, or, worse, some living fossils from the "symbolic AI" era, then you'll be showered in "LLMs can't progress". Often backed by "insights" that are straight up wrong, and were proven wrong empirically some time in 2023.
If you track LLM capabilities over time, however, it's blindingly obvious that the potential of LLMs is yet to be exhausted. And whether it will be any time soon is unclear. No signs of that as of yet. If there's a wall, we are yet to hit it.
That aside.
Lets look at the facts.
Are LLMs displacing labour? In the aggregate - not from what one can see. The aggregate statistics tell a different story e.g. the hiring of software engineers is still growing Y-o-Y.
The limits of LLMs will be put in place through financial constraints. People like you seem to think there's an infinite stream of money to fund this stuff. Not really. Its the same reason why Anthropic and OAI are now shifting focus to generate revenues and cash flows because they will not receive external funding forever.