Remarkable Double Pawn Sac Brilliancy! || Highly Evolved Leela vs ScorpioNN || TCEC 19

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FIDE CM Kingscrusher goes over an Remarkable Double Pawn Sac Brilliancy! || Highly Evolved Leela vs ScorpioNN || TCEC 19
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FIDE 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:
en.wikipedia.o...
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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:
en.wikipedia.o...
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.
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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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[@kingscrusher]

My new opening course : kingscrusher.tv/openingtango

[@ericb252]

First time watching your videos in almost a year and love the new format! Your videos have improved tremendously. You talk about ideas instead of all the variations making this very entertaining and educational at the same time

[@rickdynes]

...Thank You for communicating your Love for chess so very well... really offers great solace

[@cyclopsboi]

maybe i am reading too much into it but I wonder if leela increased the valuation of trading off the dark squared bishops early because the white kings primary escape square on the back row was to a dark square and the fewer pieces that black had that could exert influence on that territory the strength of whites position increased

[@pazdziochowaty]

This was a battle of angry vs hungry pieces :)

[@naturelovelight7546]

Thanks a lot sir.🙂

[@mauijttewaal]

Nice, way to go Leela! But I think Stockfish is unbeatable...

[@joseraulcapablanca8564]

Avery Nice game even if the endgame play by Scorpio was a little weak seeming. Thanks KC keep up the good work.

[@ottolehikoinen6193]

Never play robatsch/modern/pirc against an equal depth opponent.

One dislike.. must be the ScorpioNN developer

[@805atnorafertsera6]

An angry Leela is a dangerous Leela

[@willemroper6069]

Cheeky of ScorpioNN to under promote, just ignored by Leela. Both neural nets having a laugh

[@Bobby-fj8mk]

19:58 Black was short sighted by allowing a Rook swap when Black had 2 connected passed pawns. With a Rook behind them they were unbeatable. Is this game perfect or not?

[@violetasuklevska9074]

If you play something like Ra5 then Rh4 controls the b-pawn maybe play Rb4 if necessary and the kingside will fall eventually.

[@yaasdpalala4492]

Not perfect, stockfish would do it better

[@Bobby-fj8mk]

@@violetasuklevska9074 - I haven't put the game into Stockfish 12 to see if it could win from there. It's just an observation. A human can get an overall conscious view of the game whereas as a computer can only process many moves - most of which are meaningless.