Endgame thorn pawn! || Highly Evolved Leela vs Mighty Stockfish || TCEC 18 Rd 29

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FIDE CM Kingscrusher goes over a chess game featuring an Endgame thorn pawn! || Highly Evolved Leela vs Mighty Stockfish || TCEC 18 Rd 29
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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.o...
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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.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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[@joseraulcapablanca8564]

As you say truly fascinating.Leela created a series of one way doors , which only she could use. Your analysis really helped to show the importance of what did not happen. Thanks KC keep up the good work.

[@kingscrusher]

Great comment, K

[@Bobby-fj8mk]

23:00 great move that I didn't see. In these end games, one wrong move is a disaster.

[@kingscrusher]

Yes tricky move there :)

[@fritzvold9968]

@14:30 White has an immediate win with 1.Qh8+ Kf7 2.Qxh7+ etc. is crushing.

[@fairytalejediftj7041]

Poisoned fawn pawn!

[@usamoronocracy526]

incredibly rich and fascinating game and great analysis - again ;-) KappaRoss

[@kingscrusher]

Cheers, K

[@TheTinaben]

This game has it all. Great human like opening. Ideas of attacking the king and great endgame

[@Korovox]

"This is a fascinating endgame..." I love this!

[@fritzvold9968]

@6:27 why is white deferring g3 and choosing to move the Bishop again to f2 to protect against _Nf4?

[@boriserjavec6470]

Why are they playing so many games?

[@Korovox]

what else should they do? ;D

[@raghavbajpai492]

I am playing engine vs engine with my friend I am using droidfish app but still he beats me on engine . What should I do ?? Is there some process by which I can make my droidfish app more stronger than default ?? Please help me out 🙏🙏

[@roarprawn]

Pirc defence, looks like this has some perks to it, lol, terrible pun :)

[@kingscrusher]

Fun comment - Cheers, K

[@southron_d1349]

You sound like you have a cold. If so, a break might be a good idea.

[@kingscrusher]

Thanks - no coughing thankfully!