161–170 of 576 posts
Let's compare Go and Chess. We all know that Go is more complex that Chess, but how much more? There's 10^50 atoms in the planet Earth. That's a lot. Let's put a chess board in each of them. We'll count each possible permutation of each of the chess boards as a separate position. That's a lot, right? There's 10^50 atoms, and 10^40 positions in each chess board so that gives us 10^90 total positions. That's a lot of p…
Someone somewhere asked why a lot of people in the Go community is taking this in a somewhat hard way, here is my hypothesis: Go, unlike Chess, has deep mytho attached to it. Throughout the history of many Asian countries it's seen as the ultimate abstract strategy game that deeply relies on players' intuition, personality, worldview. The best players are not described as "smart", they are described as "wise". I thin…
Actually this AI kind of confirms these myths, since its basis are not in mathematics but in neural networks. While it could be argued to be just math, so is the brain, but that's besides the point. The point is, even the programmers have no idea what the AI is thinking. The way it picks moves is very similar to how top professionals do. Intuition is reduced to memories stored vaguely as neural connections.
I'm totally uninformed about Go, but by now it seems that unless you're clearly in the lead by the end of the midgame, AlphaGo is going to win, simply because at that point its Monte Carlo Tree Search is going to our-compute you in examining all the tactical variations in the endgame. Lee Sedol really seemed to be under a lot of time pressure at the end. EDIT: clarified to what I originally meant: "end of midgame"
In any case, I personally find it more interesting to see what we can learn from AlphaGo about the opening and the midgame.
I find it very interesting that to a layperson, the idea of a computer being able to beat a human at a logic game is pretty much expected and uninteresting. You try and share this story with a non-technical person and they will likely say "Well, duh..it's a computer".
Most people operate on a moving definition of intelligence as "whatever humans can do and machines can't" (thus ruling out AI by definition). If software started writing bestselling novels, it would soon become a "duh that's just what computers do" matter of fact.
The average person isn't impressed with computers winning at Go because they vastly underestimate the complexity and open-endedness of Go and wonder why it's really all that much more complex than chasing Pac Man through a maze like their computers were doing quite happily, and even with apparent personality, in the 1980s.
Earlier quoted context omitted.
I wonder how long before humans start learning from AlphaGo! I want to see AlphaGo vs AlphaGo :-)
Fan Hui has already learned from AlphaGo. He's been playing matches against her regularly, and (perhaps as a result of that) won _all_ his games in the last European championship.
Earlier quoted context omitted.
Actually this AI kind of confirms these myths, since its basis are not in mathematics but in neural networks. While it could be argued to be just math, so is the brain, but that's besides the point. The point is, even the programmers have no idea what the AI is thinking. The way it picks moves is very similar to how top professionals do. Intuition is reduced to memories stored vaguely as neural connections.
Stored discretely and permanently you mean..
Earlier quoted context omitted.
For 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.
Amazon's Mechanical Turk!
What's even more exciting is that there weren't direct mistakes by Lee Sedol in this game, like there were in Game 1. So does that mean that AlphaGo is just playing on a level beyond him?
Looks like so. He miscalculated the center, while it looked he got the corners. But AlphaGo didn't care and continued pressure
If AlphaGo wins all 5 matches, what do you think DeepMind will do with it? My intuition is that they won't continue development, and instead focus on other applications. Great game btw, a pleasure to watch.
http://www.shanghaidaily.com/national/AlphaGo-cant-beat-me-s...
Ke Jie believes he is slightly better than AlphaGo given the play he has seen, although he thinks AlphaGo will outpower him in a few months.
The belief that every good player that has so far played against AlphaGo would win highlights a common misunderstanding of the nature of the human mind. There seems to be in fact a very small difference between the aptitudes of the average players and those of the top players, such that it is very easy for a machine to go from average to superhuman. Getting to average is by far the harder part.