OK... but how is that pattern-matching different from what the computer is doing? Why is human pattern-matching "understanding" and computer patter-matching is not?
Its the 2nd state of cognitive engagement that makes humans different. Of course a field of static isn't a panda. The computer has no capacity to recognize the context.
I think I get your point now. It's OK if a human momentarily mistakes a random blob for a panda, but they should be able to figure out from other visual cues and context that it's not a panda. And it's that second part that's missing from the computer models?
