This seems kind of irrelevant? Humans have General Intelligence while having a context window of, what, 5MB, to be generous. Model weights only need to contain the capacity for abstract reasoning and querying relevant information. That they currently hold real-world information at all is kind of an artifact of how models are trained.
> Humans have General Intelligence while having a context window
Yes, but humans also have more than a context window. They also have more than memory (weights). There's a lot of things humans have besides memory. For example, human brains are not a static architecture. New neurons as well as pathways (including between existing neurons) are formed and destroyed all the time. This doesn't stop either, it continues happening throughout life.
I think your argument makes sense, but is over simplifying the human brain. I think once we start considering the complexity then this no longer makes sense. It is also why a lot of AGI research is focused on things like "test time learning" or "active learning", not to mention many other areas including dynamic architectures.
