Outrageous Double Rook Sacrifice! || Highly Evolved Leela vs Stoofvlees || TCEC Season 17 Rd29

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FIDE CM Kingscrusher goes over a chess game featuring an Outrageous Double Rook Sacrifice! || Highly Evolved Leela vs Stoofvlees || TCEC Season 17 Rd29
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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. 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.org/wiki/Leela_Zero
...
Leela Chess Zero (lc0) is a free, open-source, and neural network-based chess engine and distributed computing project.
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.org/wiki/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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[@aaronhowe3725]

What an incredible game of such cool, rich, and steady calculation. As a human it really shows how if you can keep your nerve there are incredible resources if you can find them and keep the initiative. Thanks for the game KC.

[@Bobby-fj8mk]

A delightful but very complicated game. Thanks KC - you cheer me up during this virus pandemic.

[@robertom4287]

Stoofvlees seems to be playing like Tal, and Leela... Leela is at another level.

[@George4943]

More Leela!

[@ChessMasteryOfficial]

Chess is like body-building. If you train every day, you stay in top shape. It is the same with your brain - chess is a matter of daily training.

[@exelmans8855]

From Beginner To Chess Master yep. That’s the difference with the top GM. They’ve been playing the game non stop since they were born. There’s no way around. All gas no brakes.

[@R-L-I]

Exactly. Was rated 1950 then I stopped playing chess for about 7 years because of my job, got married etc so then I came back to it slowly and fell all the way down to 1700 rating! I’m 1825 now but you really have to play regularly to keep your mind sharp!

[@TheSoulBlossom]

bodybuilding or anything really.

[@fernandofuriaesq.6266]

Yes. O Lord give us this day our daily chess.

[@kikom64]

Nice one! Thanks Crusher!

[@doncar9]

Great game! Thanks Paul would have enjoyed it.

[@pukulu]

Lc0 has evolved into a superb strategic and positional player, like a cybernetic version of Tigran V. Petrosian or Anatoly Karpov. It does not enter into unnecessary tactical complications but stays on course strategically. Stoofvlees has been programmed to give some sort of bonus for aggression, or that's how it appears, although neural net programs teach themselves of course. For a very strong chess engine, Stoofvlees occasionally surprises me with sacrifices that are seen to be unsound. This feature will probably be fixed in future versions of the chess engine.

[@Radjehuty]

It might just be a matter of training. Leela has a decent sized community behind her to help train and gain a staggering 300+ million game count. When she was young, she also had her time of playing crazy sacrifices or unsound positional moves that just didn't work. She definitely continues to play aggressively, but certainly plays much more solidly now and less reckless. Stoof will likely follow suit if training continues.

[@RoyGazoff]

Great game 👍

[@fernandofuriaesq.6266]

Keres attack g4 seems to foreshadow a queenside castle for white but not in this case where white king does wind up on queenside but not through castling.

[@TheAfroNoah]

This game is incredible

[@shantoreywilkins651]

#amazing

[@dougveganparadisebuilder5808]

Dazzling at times.

[@rotcod2886]

I thought the double sac was going to lead to a win. No wonder you kept saying, "Where's the threat?" I thought it just wasn't apparent.

[@MoonBurn13]

And the computers depart the match in their hansom cabs.

[@joseraulcapablanca8564]

a horrible horrible position for black to be sadled With from the opening. then spectacualr sacrificial play from both engines. thanks KC keep up the good work.

[@u.v.s.5583]

A losing double rook sacrifice. I think I could do better. Sacrificing ALL my pieces and losing.