Could you please described the hardware? Which processor, how many cores, speed, RAM, GPU (if it uses that) etc.?

Also, which time settings are used?

Thank you; I'm looking forward to that game!

Cool! Will this be an even game?

P.S. Are you aware of any plans for another edition of the Code Centric Go Challenge (https://go.codecentric.de/)? For the unaware in October 2014 FJ Dickhut German 6d played CrazyStone and won 3-1, and then in October 2015 played Zen and won 3-1 again. I suspect the new deep learning CrazyStone could win the match now.

My prediction would be for Hajin to win this one, though perhaps the distraction of live commenting will reduce her level and give CrazyStone a chance. And even if CrazyStone does win I'd still like to watch more serious human vs computer matches.

Thanks for your comments.

I was also very disappointed by the way Crazy Stone played. I had played plenty of games on KGS to calibrate levels before the release, and it did reach 7d with a 4-core machine at 1 second per move. I expected a 18-core server with 20 seconds would be considerably stronger.

From my quick analysis, it seems that the neural network makes the search too selective, so searching deeper does not help. You correctly analyzed that it did not anticipate B E8. I will tune selectivity at longer time controls, to see if I can fix it. I had done some testing and tuning before the release, but mostly in self-play. Playing humans reveals interesting weaknesses that are not visible otherwise. I don't have strong enough gtp opponents besides my previous version, unfortunately.

Anyway, I will try hard to fix these problems.

Thanks for your comments.

I was also very disappointed by the way Crazy Stone played. I had played plenty of games on KGS to calibrate levels before the release, and it did reach 7d with a 4-core machine at 1 second per move. I expected a 18-core server with 20 seconds would be considerably stronger.

From my quick analysis, it seems that the neural network makes the search too selective, so searching deeper does not help. You correctly analyzed that it did not anticipate B E8. I will tune selectivity at longer time controls, to see if I can fix it. I had done some testing and tuning before the release, but mostly in self-play. Playing humans reveals interesting weaknesses that are not visible otherwise. I don't have strong enough gtp opponents besides my previous version, unfortunately.

Anyway, I will try hard to fix these problems.

Thanks for your comments.

I was also very disappointed by the way Crazy Stone played. I had played plenty of games on KGS to calibrate levels before the release, and it did reach 7d with a 4-core machine at 1 second per move. I expected a 18-core server with 20 seconds would be considerably stronger.

the commercial version of CrazyGo does not make this blunder in the same position - Remi (or somebody who already bought it), can you please clarify/confirm if that is the case?

Setting up alternate boards with this joseki does not usually favor this weird descent, but there's no question that crazystone does not see this clamp; though once the clamp is made, it can see the disaster. It sees the clamp after the atari at G6, but this seems like a bad exchange.

I've given the game an 8h analysis on my 4790k in CS:DL. It really does seem like the parameters were a bit off for the match, as this self-analysis confirms the blunders.

Did you manually make the .sgf with the analysis information or is there a way to get CS:DL to create an .sgf with the analysis info in it? I've tried finding a way but no luck so far.