I've raised this a few times in the past, but, why would we want to build an AGI modeled after the thought patterns and processes of a human brain? We have plenty of human brains. it seems that we should want to avoid the same traps fallacies, biases, etc that humans have, and, if we accurately do so we won't have an AGI that is much like a human at all. I suspect we'll have something very powerful and capable long before we have something that approximates human personality and "intelligence", and even if we get to that latter state it will almost certainly be because the machine is faking it.

OTOH, if we try to directly replicate a human as we currently are, then I expect we should start with all the various mental shortcuts and cognitive biases we have. I'm no neuroscientist, but, one thing that is apparent in the comparison of machine learning models to humans is just how sparse the data that humans learn from is. I strongly suspect that our collection of mental shortcuts and biases, as well as our superior sensory input are what makes that difference. of course, if we succeed at making an AGI just like this, it will be just as good as humans at making very human mistakes.