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AlphaGo beats Lee Sedol again in match 2 of 5

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Re: AlphaGo beats Lee Sedol again in match 2 of 5

#11
Lee Sedol seemed to be doing well before he went into extra time (as far as I could follow from the commentators). How is it ensured that this is a fair game given the time constraints? I'm guessing adding more computing power to the AlphaGo program should definitely help it in this regard.

Re: AlphaGo beats Lee Sedol again in match 2 of 5

#14
post #11

Lee Sedol seemed to be doing well before he went into extra time (as far as I could follow from the commentators). How is it ensured that this is a fair game given the time constraints? I'm guessing adding more computing power to the AlphaGo program should definitely help it in this regard.

> How is it ensured that this is a fair game given the time constraints?

Both players get the same time controls, seems fair to me

But if you're saying humans might fare better against computers in a game with a longer time control, I suspect that's true

Re: AlphaGo beats Lee Sedol again in match 2 of 5

#15
post #11

Lee Sedol seemed to be doing well before he went into extra time (as far as I could follow from the commentators). How is it ensured that this is a fair game given the time constraints? I'm guessing adding more computing power to the AlphaGo program should definitely help it in this regard.

Well, I think the last time computers played the world chess champion (in 2006), they didn't allow the computer to think on the human time!

And you can always give the computer less time than the human, but this just shows that it's stronger than you and you need to handicap it to have a chance.

Re: AlphaGo beats Lee Sedol again in match 2 of 5

#16
post #6
post #3

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.

I think people in the Go community wants to see AlphaGo play against the top ranked player. Otherwise I hope they'd at the very least release it as an AI for people to play against.

I thought Lee Sedol was the top ranked player?

Re: AlphaGo beats Lee Sedol again in match 2 of 5

#17
post #11

Lee Sedol seemed to be doing well before he went into extra time (as far as I could follow from the commentators). How is it ensured that this is a fair game given the time constraints? I'm guessing adding more computing power to the AlphaGo program should definitely help it in this regard.

Jeopardy had the same complaints against Deep Blue. The machine was buzzing too fast. Humans knew the answers too but just couldn't buzz in.

Re: AlphaGo beats Lee Sedol again in match 2 of 5

#18
The next person that will beat alphaGo may not be a top go player.

In particular, I'm wondering if a computer scientist with access to the alphaGo source code and all the weights of the network could trick alphaGo in order to win games automatically (cf. the papers that show a neural net can be tricked to classify a plane as any other class).

If a human with the knowledge of the source code and the weights can do this, it is scary. Imagine a similar algorithm runs your car. An attacker that knows the source code and the weights may trick the algorithm to send your car in a wall!

Re: AlphaGo beats Lee Sedol again in match 2 of 5

#19

This game was largely played extremely well by both sides. There were a a few peculiar-seeming moves made by AlphaGo that the commentator found very atypical. These moves ended up playing a very important role in the end game. I should also say that it's somewhat clear that Sedol made one suboptimal move, and AlphaGo capitalized on it. Interestingly, the English commentator made the same mistake as he was predicting…

> These moves ended up playing a very important role in the end game.

Does this mean AlphaGo was playing at a higher level or is it just a coincident?

Re: AlphaGo beats Lee Sedol again in match 2 of 5

#20
post #11

Lee Sedol seemed to be doing well before he went into extra time (as far as I could follow from the commentators). How is it ensured that this is a fair game given the time constraints? I'm guessing adding more computing power to the AlphaGo program should definitely help it in this regard.

Jeopardy had the same complaints against Deep Blue. The machine was buzzing too fast. Humans knew the answers too but just couldn't buzz in.

Irrelevant in this case, there was the latency of the operator reading the move on the screen and physically picking up a stone and placing it on the board.
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