Alpha zero reacts super-dynamically | Sicilian Defence Najdorf start position vs Stockfish: Game 17

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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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[@kingscrusher]

Replayable game with indented variations: www.chessworld.net/chessclubs/ltpgnviewer32/ltpgnboard.asp?GameID=5024028

[@leslassiter6378]

I used to be able to down load these games but now it doesn't work. Can you fix this please?

[@adnan4688]

Yes finally Najdorf, i was really looking forward to this, nevermind the draw, enjoyed it very much. Thanks for sharing

[@GeorgePolzer]

KC, thank you for "putting on the board" 4:17 always helps!

[@patobrien6862]

I love the fireworks you documented @ 1:56 . "The Queen's protecting A-one here" - try and say that outside chess ;)

[@phen-themoogle7651]

Kingcrusher, I really appreciate your content, I'm making a notebook with Neural Network Chess playing styles based on all your videos now, especially the games that have fawn/thorn pawns installed too or attempt them. It's really amazing the time period we live in, and you are my hero.

[@joseraulcapablanca8564]

wonderful attacking play bit disappointing that it was only a Draw in the end, but an exciting game for that. Thanks KC keep up the good wotk

[@chesslover2925]

Great analysis. KC u r a chess encyclopedia !!!

[@kingscrusher]

Cheers, K

[@CarloRossiTheGreat]

Excellent analysis. I look forward to these videos every day.

[@kingscrusher]

Cheers, K

[@uffeflong8065]

Dear Kingcrusher. Thank you for your amazing channel. Your often philosophical approach to chess is really good. My favorite video is "Vishy Anand's beautiful Queen move will surely be treasured in Chess literature". Only critical point is that it often goes very fast in all variants. Looking forward to the next super video. Yours sincerely, Uffe

[@igorrocha5267]

Can you show how the alpha zero play with the strong Caro-Kann defence? I sought but I not find a video about. According to the researches the Caro-Kann defence is the strongest defense played by alphazero.

[@rg_chess9349]

You are a very good you tuber

[@kingscrusher]

Cheers, K

[@peterpetrov6522]

How come Alpha 0 and Leela never play Sicilian dragon? Has it been debunked?

[@kinglear5952]

These were predetermined openings of which the Dragon appears not to have been chosen.

[@diegolopezzz18]

Fischer would’ve probably agreed. I’d like to see a Dragon-Yugoslav Attack game from these engines though! That would be hella interesting.

[@dannygjk]

AZ does not play Sicilian, French, etc. if given the choice. I guess it considers the Berlin Ruy Lopez to be better.

[@dannygjk]

@Ze TheGame The engine plays what it thinks is best. The only way in which I think you have a point is that MCTS engines may have that tendency in some positions if they see a lot of lines are risky.

[@shoman7205]

After bishop f2, why not rook capturing pawn on b2?

[@kingscrusher]

What time stamp in the video (please use format mm:ss) e.g. 10:00

[@chesslover2925]

Is it possible to show us a game betwen alpha zero vs leela?

[@kingscrusher]

They never played - Alphazero is not available to use

[@mtgradwell]

@@kingscrusher The fact that GM Matthew Sadler and one or two others were given access to AlphaZero recently to assist them in coverage of the human world championship, suggests to me that AlphaZero is being brought at least partially out of retirement. Perhaps you could persuade DeepMind to give you some access to AlphaZero, and use that access to pair it against Leela by feeding it Leela's moves?

[@reubenosman2288]

@@mtgradwell That will never happen

[@mtgradwell]

@@reubenosman2288 Why not? It was DeepMind who sent Tryfon the 20 games that he's working his way through, so evidently they're aware that he exists and that he's influential enough to be worth cultivating. They're presumably aware that he has only good things to say about neural net-based chess AI's. Why would they not give him access to A0 if asked nicely? The only reason I can think of is if A0 is already back in mothballs, but even if that is the case it will surely be reactivated again someday. I don't think they'd be testing the waters by sending games out to influencers if they weren't considering doing something more in the future. Maybe the hardware is too much in demand for other purposes at the moment, so A0 can only be activated sparingly, but that won't always be the case. In all likelihood, TPU's will someday be as commonplace as GPU's are today, and that someday could be sooner than you'd expect.

[@boyax7825]

like this one

[@phen-themoogle7651]

I got first like for this one xD

[@kingscrusher]

Cheers, K