______________________________
What aspect of efficiently exploring the combinatorial explosion in possibilities of iterated rule-based systems is the human brain still currently doing much better than machines?
I happen to have recently written up a longer history of Go AI. If you're wondering about what is special about Go in particular or what generalizes to other problems, give it a read.
To a non-go player like myself, both moves 37 and 78 seemed completely arbitrary. I mean, much of the video talks about how it's impossible to calculate all the future moves like in chess, yet move 37 of a possible ~300 move game is called out as genius, and move 78 is a God Hand.
For the layman like myself, it seemed a bit inconsistent.
The thing that made me smile was how history repeated itself. Sedol predicted a 5-0 win against the program. Kasparov was pretty cocky as well in the 1990s. You'd think someone would have warned him! "Hey Sedol. Cool your jets, these guys wouldn't be spending so much money just to embarrass themselves."
DeepMind was definitely way more polite than IBM, so that was good to see. The Deep Blue team were sorta jerks to Gary.