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Bit hyperbolic. Go at it's heart is a pretty basic game, just tricky combinatorics. The fact that you can do unsupervised learning simplifies it even more. I t
by blazespin 9y ago
Bit hyperbolic. Go at it's heart is a pretty basic game, just tricky combinatorics. The fact that you can do unsupervised learning simplifies it even more. I think there are much better true indicators, such as better translation, speech to text, auto driving, etc.
- jacquesm 9y ago> Go at it's heart is a pretty basic game, just tricky combinatorics. This goes for every turn based game and a lot of card games as well. If you just had perfect memory you'd be a formidable chess and cards player.
- gabrielgoh 9y agoin a way, life is just a simple game with tricky combinatorics, and fairly trivial to attack with the tools of unsupervised learning.
- panic 9y agoLife isn't simple in the way these games are. The choices you have in life aren't clear, and neither is what will happen once you make them.
- Tar90 9y agoPlus, these games are deterministic, whereas everything in life is a stochastic process.
- computerex 9y agoI think you are being hyperbolic here. Go is in a lot of respect much more challenging than machine translation, speech to text and auto-driving. All of the latter problems you described have had solutions for decades whereas Alpha Go is literally state of the art. It even uses proprietary hardware (TPU's) and was essentially engineered by one if not the most elite ML lab in the world. Their solution consists of an ensemble of many models including MCTS, supervised learning, reinforcement learning. Much more complicated than what you are thinking. Go read the paper, it's free. Go is a lot harder than you think for machines to play.
- mcintyre1994 9y agoI'm not disagreeing because I don't know how to even start comparing those challenges to Go, but just a comment - it's interesting that you chose areas where Google's elite ML teams are state of the art or close to it and where they're probably using TPUs or will be soon.
- deleted 9y ago[deleted]
- Cybiote 9y agoI agree, Go is a challenging game for computers but even more so for humans. However, for computers, Go is not more challenging than translation, speech to text or driving or understanding a comic book. The progression of superhuman play in famous board games has gone as checker->chess-> go. The more a game relies on memory,tactics and evaluation speed, the quicker it falls. In terms of commonly played perfect information games, Go is most difficult both from having a large branching factor and no simple evaluation heuristic. In each of these, before there was superhuman play, there was super amateur human play for decades (including in Go). Translation still has many failure cases. Speech to text cannot yet handle intonation and auto-driving cannot yet handle driving in places like India. And reading then summarizing a page of a comic book while walking across a room is currently impossible.
- NhanH 9y ago10 years ago when I was learning Go. I can beat the strongest bot within months of learning the rule. Super amateur human play in Go AI is barely 5 years ago, if that.