This is a lot of noise around what's clearly not even an order of magnitude to the way to AGI.

Here's my AGI test - Can the model make a theory of AGI validation that no human has suggested before, test itself to see if it qualifies, iterate, read all the literature, and suggest modifications to its own network to improve its performance?

That's what a human-level performer would do.