Earlier quoted context omitted.
First, you have to define "AGI". Next, you have to have a clear path to reaching it. Then, you have to have the resources to actually walk that path. Only with all three of those can you make any credible claim that AGI is near. As it stands, we have none of them—and the lack of the second is the most damning. It's very, very clear at this point that just scaling up the existing LLMs is not going to reach some critic…
On the other hand approx human brain equivalence in computers has been predicted fairly accurately since about 1990 based on Moore's law type projections - mid 2020s by Moravec, 2029 by Kurzweil. The underlying assumption is once the hardware is widely available, hackers will hack something together.
And my (rough, limited) understanding is that based on much more recent projections, it would take several orders of magnitude more computing power to genuinely simulate a human brain than what we have.