Lichess Banter Blitz Chess with Kingscrusher

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♚ Play turn style chess at
♚ – register and I will invite you for a game soon 🙂

FIDE Chess CM Kingscrusher goes over amazing games of Chess every day, with a focus recently on chess champions such as Magnus Carlsen or even games of Neural Networks which are opening up new concepts for how chess could be played more effectively.

The Game qualities that kingscrusher looks for are generally amazing games with some awesome or astonishing features to them. Many brilliant games are being played every year in Chess and this channel helps to find and explain them in a clear way. There are classic games, crushing and dynamic games. There are exceptionally elegant games. Or games which are excellent in other respects which make them exciting to check out. Some games are fabulous, some are famous. Some are simply fantastic. This channel tries to find basically the finest chess games going.

There are also flashy, important, impressive games. Sometimes games can also be exceptionally instructive and interesting at the same time.

Info about Leela Zero:

Leela Zero is a free and open-source computer Go software released on 25 October 2017. It is developed by Belgian programmer Gian-Carlo Pascutto,[1][2][3] the author of chess engine Sjeng and Go engine Leela.[4][5]

Leela Zero’s algorithm is based on DeepMind’s 2017 paper about AlphaGo Zero.[3][6] Unlike the original Leela, which has a lot of human knowledge and heuristics programmed into it, Leela Zero only knows the basic rules and nothing more.[7]

Leela Zero is trained by a distributed effort, which is coordinated at the Leela Zero website. Members of the community provide computing resources by running the client, which generates self-play games and submits them to the server. The self-play games are used to train newer networks. Generally, over 500 clients have connected to the server to contribute resources.[7] The community has provided high quality code contributions as well.[7]

Leela Zero finished third at the BerryGenomics Cup World AI Go Tournament in Fuzhou, Fujian, China on 28 April 2018.[8]

Info about Alphazero:

AlphaZero is a computer program developed by the Alphabet-owned AI research company DeepMind, which uses an approach similar to AlphaGo Zero’s to master not just Go, but also chess and shogi. On December 5, 2017 the DeepMind team released a preprint introducing AlphaZero, which, within 24 hours, achieved a superhuman level of play in these three games by defeating world-champion programs, Stockfish, elmo, and the 3-day version of AlphaGo Zero, in each case making use of custom tensor processing units (TPUs) that the Google programs were optimized to make use of.[1] AlphaZero was trained solely via “self-play” using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables. After just four hours of training, DeepMind estimated AlphaZero was playing at a higher Elo rating than Stockfish; after 9 hours of training, the algorithm decisively defeated Stockfish 8 in a time-controlled 100-game tournament (28 wins, 0 losses, and 72 draws).[1][2][3] The trained algorithm played on a single machine with four TPUs.

Relation to AlphaGo Zero
Further information: AlphaGo Zero
AlphaZero (AZ) is a more generalized variant of the AlphaGo Zero (AGZ) algorithm, and is able to play shogi and chess as well as Go. Differences between AZ and AGZ include:[1]

AZ has hard-coded rules for setting search hyperparameters.
The neural network is now updated continually.
Go (unlike Chess) is symmetric under certain reflections and rotations; AlphaGo Zero was programmed to take advantage of these symmetries. AlphaZero is not.
Chess can end in a draw unlike Go; therefore AlphaZero can take into account the possibility of a drawn game.
AlphaZero vs. Stockfish and elmo

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#KCChess #KCLeelaChess #KCMustSeeChess
❓ Any chess questions?



  1. Once again thanx love your content keep up all the good work maximum respect stay blessed with Chess….

  2. @KingCrusher, I liked your "Banter Blitz Tournament on Lichess" – the only downside is that in tournaments most people will not be able to play against you (only those who have enough tournament points will be able to get a chance, which means lower rated guys will never get a game with you, which really sucks for them and they might really wanna play with you, especially those lower rated guys from Chess24 who used to play with you).
    – That's why I'd honestly much more prefer if you would just stream every sunday and let people challenge you 3+0 or 5+0 and accepting challenges by order… that way everything would be the same as in "Chess24 Banter Blitz" – but most importantly everybody would get a chance to play with you (players of all ratings, not just higher rated guys who have enough tournament points) – That would then be a real "Banter Blitz" in my opinion.
    – So that's my honest suggestion but even if you don't like it, it's okay, we'll just be joining your tournaments in that case.

  3. Awesome to have Banter Blitz return. Lots of fun to watch and hopefully this will continue. Chess Tactics course is amazing and I'm looking forward to the future Udemy offerings!

  4. Lots of fun. Thanks much.

    You let them back in there at the end. But then they fell apart.

  5. Kingscrusher are you using Dominion software by chance?…jk nice games.

  6. Thanks kingcrusher} for playing lichess. More videos I don't skip ads to support ur channel. More power God bless

  7. The first opponent rated 2231 played like a random 1700.

  8. Who were those scary GMs? Did Magnus sneak in?

  9. Really enjoyed playing in thr tourney. Happy to come sixteenth, especially since I am no blitz player. I have a suggestion if you continue with these tournaments, maybe you could analyse some games of other players, maybe one from each ten two to ten eleven to twenty etc. I don’t know if you have time for that. Whatever you do I’ll watch. Thanks KC and keep up the good work.

  10. I would sac my queen to stop a KC fawn pawn. It always ends badly.

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