Hi all,

I've been going through the AlphaGo games and have reached a few conclusions.

1. Most of the games are easier to understand than contemporary pro games, and thus are great choices for amateurs to study.

2. When reviewing these games I often get the feeling that AlphaGo is asking questions of its human opponents. But there seems to be no right answer, and the human gets punished, regardless.

I have chosen two games and made a video to demonstrate these two points. Please let me know your thoughts.

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Want to see videos of low-dan mistakes and what to learn from them? Brady's Blunders

Love the title.

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There is one human race.
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The Adkins Principle:

At some point, doesn't thinking have to go on?

— Winona Adkins

Nice comment.

At my (limited) level I also notice that: there's a constant asking and feeling that you need to answer.

The evident superiority in exchanges remind me what is said about Honinbo Shuei, the master of miai: seems that AlphaGo looks for exchanges where it can't loose.

So then you come to ask: may be those questions shouldn't be answered?

Great video!

Very good advice: https://youtu.be/6rB2cYOeppQ?t=901
("The way to win a won game is not to start another fight.")

Just applied it successfull to one of my games.

I often tend to put myself under unnecessary pressure with bad decisions. (Trying to fight for live in my opponents territory, instead of aiming for a relaxed win by increasing my own potential when I am already ahead.)

I wonder if they made the algorithm public yet?

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Stefany, web programmer

One thing that bothers me about the AlphaGo reviews:

So ok, AlphaGo clearly plays better than the pros, and AlphaGo occasionally makes uncommon moves. Now everyone focusses on these uncommon moves and new fuseki and joseki are discussed. But what if AlphaGo's dominance comes from all the other moves, simply adding little advantages at every move? It would be perfectly possible for these uncommon moves to be wrong and refuted in a new version of AlphaGo.

Hence why I hate AlphaGo - Go players will turn like chess players or "cyborgs" and will start to play Computer Go, rather than human go.

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Stefany, web programmer

The main reason they talk about the uncommon moves is that pros have historically ignored it. Since a greater than pro level strength plays it, then pros will of course start focusing on the moves that have been ignored.

It's not just fuseki and joseki. AlphaGo analysis also had some interesting midgame points that hit many pros blind spots.

Nice video, thanks!
It makes sense: if Alpha Go is stronger than his opponent, he does not need to pick a risky fight and instead of a tactical move he can play a strategic move, which will be easier to understand.

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Stay out of my territory! (W. White, aka Heisenberg)

They won't. Because there's no algorith. AlphaGo is a virtual brain. It learned and developed its own style.

Actually I think it's the other way around: he is so strong because doesn't need to fight, and look for exchanges instead of fights.

Also the lack of Ko fights is something to notice.

Great videos!

I saw one game, which was discussed by Hay Lee, where the opening seemed equal until Ke Jie made a clear mistake. So in that particular case it didn't seem to be a case of "whatever you do is wrong".

I concur with a few comments:

1) for such an overwhelming dominance, I had expected MORE uncommon moves (more moves and more uncommon). The bot plays surprisingly conventional go to my taste. For example, I would have bet on tengen as the eventual opening move.

2) the greatest advantage it seems to have is its estimation of exchanges (furikawari). I've seen swaps where I thought, this is a huge thing to give away, only to see the size of the sacrifice be reduced from all sides.

3) I find alphago easier to understand as well, but only with the hindsight that it wins everything.

Cheers

If your "technical" level is near perfection, you are able to keep it "simple".

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The really most difficult Go problem ever: http://igohatsuyoron120.de/index.htm
Igo Hatsuyoron #120 (still unresolved by professionals, maybe solved by three amateurs)

I think that this reflects its better strategical judgement. AlphaGo's ordinary plays are bigger than they look.



This is another area where it strikes me that AlphaGo's play is like Go Seigen's.



This aspect makes me think that the next generation of pros will be rather stronger than today's. This is the kind of thing that kids just pick up without much cogitation. Their intuition will be better.

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There is one human race.
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The Adkins Principle:

At some point, doesn't thinking have to go on?

— Winona Adkins

Isn't it sad the old master fell one year short of living the new new fuseki?

Yeah... If that was possible we would be dead already by SkyNet.

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Stefany, web programmer

He is right. You are a programmer, you should know it?

Neat! (no pun intended)

I also found this one - http://senseis.xmp.net/?AlphaGo Second headline talks about the algorithm, soooooooo... Alpha Go, you are busted

Joking aside, since AlphaGo was built on the NEAT principle with neural networks and what not, it proves its superiority to chess - in which chess programs merely store billions of games and just put the move with the highest chance of success.

I suppose what they did was feed the programs millions of pro games and its gradually developed a style to beat them, as @dankenzon suggested.

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Stefany, web programmer

Actually not, as far as we're aware. Prior to the original Nature paper they only trained it using KGS games.

Although they may have added pro games I doubt whether there are even one million of them available - GoGod doesn't even have 100,000.

Even if they have a large number it's a good question as to whether the number they have will be significant compared to the total KGS and other online games they may have acquired.

Jon