Part 11/16:
Anton: The ultimate measure of complexity that's relevant for machines is computational complexity - how many computations, how many floating-point operations do we need to execute in order to produce some results.
For us humans, computational complexity of something is much harder to wrap our minds around. Some things seem very easy to us because we can do them, like walking, but are actually quite complex from a computational perspective. Other things that are very simple for computers, like adding up two 10-digit numbers, are very hard for our brains.