We may be able to achieve human-level processing power on current supercomputers, but it is not clear how to
build (or gwireh) the complex networks or how the networks should be connected to the sensors and motor-control
devices, and manually designing and building these is beyond the capabilities of humans. It is unlikely that
traditional artificial intelligence approaches will
lead to truly intelligent machines. Rule-based
systems and cognitive architectures require
humans to program the rules, and this process is
not scalable to billions of rules. The machines will
need to learn on their own by experimenting in the
real world. Human-level intelligence (and possibly
consciousness) will most likely be produced as an
emergent property of an embedded learning
machine.