>That’s a bit backwards, what makes you think that “bunch of systems” will fall short in terms of breadth and complexity and not the other way around?

You mean apart from the entire history of AI research to date? Do you understand how many people since the 50s and 60s have claimed to have "the basic system down, we now just need to feed it with data and it will spring to life!" The reason why they've failed is because we didn't understand the fundamentals. We still don't. That's the point. It's not backwards, that's where we should begin from.

>Machine doesn’t have to mimic the human mind, it just has to be more capable . We are trying to create an artificial general intelligence, an entity that is able to self instruct itself to achieve any goals within an environment.

Sure, there may be other ways to achieve intelligence. In fact we know there are, because there are other animals with different physiologies that can navigate their environments. The point, again, is that we don't have an understanding of the fundamentals. We're not even close to creating something like an insect's general intelligence.

>Fear, the sense of insecurity, the need for intimacy, etc… are all unnecessary component for AGI.

I don't mean to be rude when I say this, but this is precisely the kind of naivety that led those researchers to create systems that failed to achieve general intelligence. In fact, as it turns out, emotions appear to be essential for our reasoning processes. There's no reasoning without them! As I said in the other post, you can see the work of the neuroscientist Antonio Damasio to learn a bit about how our understanding of the mind has changed thanks to recent empirical work. It turns out that a lot of those 'artifacts' you're saying we can safely ignore may be fundamental features of intelligence, not incidental to it.