The brain is thoroughly riddled with such control architechture, starting at the retina and moving back, it's a constant process of throwing out information and compressing what's left into a more compact form. That's really all your brain is doing from the moment a photon hits your eye, determining whether or not you should ignore that photon. And it is a Very Hard problem.
Yes, but it's a solved problem. Biology is rife with useful blueprints to seed your system with. The substrate is different, though, so some things are harder and others are easier, so you have to coevolve both.
This is where you need to sink moles of crunch.
I don't think you and I will ever see eye to eye here, because we have different conceptions in our heads of how big this parameter space is.
Instead, I'll just say in parting that, like you, I used to think AGI was practically a done deal. I figured we were 20 years out.
7 years in Neuroscience boot-camp changed that for good. I think anyone who's truly serious about AI should spend some time studying at least one system of the brain. And I mean really drill down into the primary literature, don't just settle for the stuff on the surface which paints nice rosy pictures.
Delve down to network anatomy, let your mind be blown by the precision and complexity of the connectivity patterns.
Then delve down to cellular anatomy, come to understand how tightly compact and well engineered our 300 billion CPUs are. Layers and layers of feedback regulation interwoven with an exquisite perfection, both within cells and between cells. What we don't know yet is truly staggering.
I guarantee this research will permanently expand your mind.
Your idea of what a "Hard" problem is will ratchet up a few notches, and you will never again look upon any significant slice of the AGI pie as something simple enough that it can can be done by GA running on a few kg of molecular switches.
-Brad
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