4 ms·
Human can become tired, emotional and nervous. However, a computer/ software would not have these problems. Especially for Lee, the whole world is looking at h
by bradley_long 11y ago
Human can become tired, emotional and nervous.
However, a computer/ software would not have these problems.
Especially for Lee, the whole world is looking at him. An "ordinary" human like me won't be able to make the right decisions under this pressure.
A great respect to Lee and the Developers of AlphaGo. Good Game!
- ludamad 11y agoAt the same time, only now are people seeing how its hard for people to play Go against computers. Until AlphaGo I didn't even think computers were close.
- bradley_long 11y agoI know how hard it is. I still cannot beat my 15 year-old PDA when playing chess with it. The intelligence of Lee is far higher than I can interpret.
- mikepurvis 11y agoGo is much harder than chess. The tree of available moves is massive and difficult to prune, as it's hard to get a reasonable heuristic about the "strength" of a given Go position.
- hasenj 11y agoActually computers were already in the top 10 percentile or so. I mean top go playing bots ranked something like 5dan amateur which is very hard to achieve, so it could already defeat most human players.
- jonknee 11y agoFrom being in the top 10% to beating the top player is a gigantic difference. Until AlphaGo computers were indeed "not close" to besting humans at Go.
- javajosh 11y agoTo address this, has anyone considered pitting AlphaGo against a team of 9p players consulting with each other, and perhaps taking charge of different conflicts on the board?
- kqr 11y agoI can't find the source now, but I remember reading a while ago that a team of go players is, perhaps contrary to intuition, not significantly better than their strongest individual alone. There's just no useful way to "pool" human thinking power and redistribute it to where it's needed the most – all the players will simultaneously consider the same branches. At best you reduce the risk of making a silly mistake, but sitting pros are already pretty good at that.
- derefr 11y ago> all the players will simultaneously consider the same branches A computer-assisted pool of humans might work. Feed each human a board state advanced by 1/2/3/N moves down the decision tree in some direction, and have them evaluate that particular sub-tree. It's a map-reduce problem!
- arethuza 11y agoFor some reason this made me think of the Focused in A Deepness in the Sky - where real general AI isn't possible [at least where we are] so human minds are harnessed to solve problems in a deeply unpleasant way.