You don't seem to be engaging seriously with respected experts in this field who have been reporting for years at this point that merely scaling LLMs and so-called "agentic systems" doesn't get us anywhere close to true AGI.
Also computers in the 1980s could perform many tasks that previously would have "required human intelligence". So? Are you saying computers in the 1980s were somehow intelligent?
And 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.