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You can play against open source reimplementations of some of the ideas behind AlphaGo family AIs. LeelaZero was one of the early ones, KataGo is probably your
by kadoban 6y ago
You can play against open source reimplementations of some of the ideas behind AlphaGo family AIs. LeelaZero was one of the early ones, KataGo is probably your best bet right now. Sai is also in the mix.
All are _very_ strong. KataGo is ungodly strong, it beats pros.
Learning Go is about more than just playing against strong players, but it could help. The biggest difficulty is that the strong AIs aren't actually that good at playing handicap games, and they're also almost completely unable to explain to you why you should play one move over another.
- tromp 6y ago> strong AIs aren't actually that good at playing handicap games You wouldn't know that from watching JBXKataBot playing on KGS with a typical 5-7 stone handicap.
- kadoban 6y agoFor the use being discussed (teaching beginners), you really need 9 stones, and it needs to work well. 7 stones is getting close though. I'll take a look at those games. Last I saw I remember katago playing up to maybe 4 stones pretty well but the games being poorer quality over that.
- yadaeno 6y agoFor reference the best human player ~3800 elo. Alpha go zero is ~5200. A 400 elo difference means the better player will win 99/100 games if I remember correctly. Board game ai is definitely in a league of its own.
- Shorel 6y ago> All are _very_ strong. That's the problem. To learn, we need an AI that can be just a little bit stronger than humans, but at the same time we need an AI that makes natural moves, not an AI that makes great moves 90% of the time and clear blunders 10% of the time. And playing go, the AI should be able to give handicap stones and play reasonable teaching moves.