I think the G is what really screws things up. I thought it was, as good as the general human, but upon googling it has a defined meaning among researchers. There appears to be confusion all over the place tho.

General-Purpose (Wide Scope): It can do many types of things.

Generally as Capable as a Human (Performance Level): It can do what we do.

Possessing General Intelligence (Cognitive Mechanism): It thinks and learns the way a general intelligence does.

So, for researchers, general intelligence is characterized by: applying knowledge from one domain to solve problems in another, adapting to novel situations without being explicitly programmed for them, and: having a broad base of understanding that can be applied across many different areas.

Yes, but “good at” here has a very limited, technical meaning, which can be oversimplified as “better than random chance.”

If something can be better than random chance in any arbitrary problem domain it was not trained on, that is AGI.

That raises the plausible question; are there problem domains where humans cannot do better than random chance, given repeated attempts?

Bitcoin mining.