The hero of the meat heads strikes back:
;D ;D ;D ;D ;D ;D ;D
Just finished watching the match. Very different from match 3 - Lee Sedol seemed to have the initiative from early on, and in the midgame AlphaGo started making truly nonsensical moves, like adding to dead groups and playing into atari.
Hopefully this is a mental barrier like the 4-minute mile and Lee Sedol will go on to win the final match. If the human wins the last two matches, Google will not feel like they won, instead they’ll just feel their program got figured out and beat.
AlphaGo is in fact 2 different methods combined. So stochastic tree searching was the previous leader in playing Go, the current version “plays itself” to come up with the next move.
Also i think a lot of people don’t get deep learning. You do indeed design the neural connections between layers for a specific problem. The are externally tuned to work for example finding a thing in images. You don’t tune it specifically for cats, but you do specifically tune it for finding some “subimage”.
AlphaGo is quite specific in what is is designed to do, that is play go and nothing else at all. And was tuned from the ground up around that one task.
The current fervor of AI right now is exactly the same as back in the 80s. People think that it is somehow not just a fancy algo and a lot of data. But it is. Nothing more. And has nothing to do with strong AI.