I was wondering if at some point when you “zoom out”, so to say, if things start getting more simple again. We’ve seen how interesting a game can be for a 19x19 board, obviously the properties change a bit for larger boards (I think it was mentioned influence becomes a lot more important). If you want see the over 3-year long 37x37 game, it is taking place here: A 25x25 game, to me, feels like a war with 8-10 important battles - one in each corner, at least one on each side and often/usually one in the center (which is basically the same for 19x19 except the side battles are more strongly influenced by the corner battles)… However a 37x37 game can have 15-25 (or more) battles going on. A 21x21 game is not much different than a 19x19 game, but a 25x25 game is easily noticeably different than 19x19 in how the strategic thinking/planning is more important relative to the tactics (local fighting / life-and-death battles). Anyway, 37x37 is playable if you are willing to put in the time, but IMO there is a “diminishing return” on going bigger. One of the games which has yet to be finished was started over 3 years and 3 months ago! As mentioned, there were people playing 37x37 games on KGS long ago (and maybe still doing so, IDK, I stopped playing on KGS a few years ago) - the most famous was “Beer Slayer”. Haze and There are slightly over 20 Go Players in a 37x37 board size “infinite tournament” (what is called a “ladder” here on OGS) by correspondence on the “Little Golem” Game Server. (if you compile KataGo to try to scale up the board even more, and more to size 40, 50, 60,… you’ll finally start to see the nets say really crazy things given that they were trained on size at most 19). It seems in practice they do, to an extent. The only question is whether those transformations all together also happen to produce good moves and evaluations on a big board the same way they do on a smaller board, when the only thing they were trained to do was to produce those good moves and evaluations on the smaller board. Since these transformations are simply uniform rules about how pixels should adjust values based on their neighbors, they can always be applied no matter how big the board is - every pixel still just follows the same rule and updates based on its neighbors. And magically those transformations result in a map that shows what all the good moves are, who owns what territory, who’s winning, etc. 19x19 pixels, except instead of RGB you have channels that specify the stone on each spot and whatever other properties you want), and then almost all the layers in the net merely specify a sequence of local transformations by which pixels should change based on the pattern of their neighbors. You feed in the board as essentially a “image” (e.g. One key to making this work is actually that convolutional nets don’t physically care what the board size is. Recently released a version of KataGo’s code that works up to 29x29, and the same neural nets in the current run that were only trained on 7x7 through 19x19 seem to work okay on the larger boards. What do you think about playing on these crazy boards?įunnily enough, AIs can be strong on large boards without ever training on them. I originally intended it for multi player go with up to 6 players (you only have to trivially change the ko rule), but I got enough “stones” (actually colored bead things that resemble go stones) to be able to play a 2 player game on 27x27. I made one board for every uneven size from 5x5 to 27x27. I made a few of these boards (painted and lacquered MDF) about 10 years ago. I never wanted to play 19x19 correspondence because of the temptation for the opponent to cheat.
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