Amazing attack by Stockfish 16 in the London System.
Stockfish continues to demonstrate its ability to discover superior moves with remarkable speed. In self-play against Stockfish 15, this new release gains up to 50 Elo and wins up to 12 times more game pairs than it loses. In major chess engine tournaments, Stockfish reliably tops the rankings winning the TCEC season 24 Superfinal, Swiss, Fischer Random, and Double Random Chess tournaments and the CCC 19 Bullet, 20 Blitz, and 20 Rapid competitions. Leela Chess Zero was the challenger in most finals, putting top-engine chess now firmly in the hands of teams embracing free and open-source software.This updated version of Stockfish introduces several enhancements, including an upgraded neural net architecture (SFNNv6), improved implementation, and refined parameterization. The ongoing utilization of Leela’s data combined with a novel inference approach exploiting sparsity, and network compression ensure a speedy evaluation and modest binary sizes while allowing for more weights and higher accuracy. The search has undergone more optimization, leading to improved performance, particularly in longer analyses. Additionally, the Fishtest framework has been improved and is now able to run the tests needed to validate new ideas with 10000s of CPU cores.Stockfish now comes with documentation, found in the wiki folder when downloading it or on GitHub. Additionally, Stockfish now includes a clear and consistent forced tablebase win score, displaying a value of 200 minus the number of plies required to reach a tablebase win. Furthermore, the UCI_Elo option, to reduce its strength, has been calibrated. It is worth noting that the evaluation system remains consistent with Stockfish 15.1, maintaining the choice that 100cp means a 50% chance of winning the game against an equal opponent. Finally, binaries of our latest development version are now provided continuously as pre-releases on GitHub making it easier for enthusiasts to download the latest and strongest version of the program, we thank Roman Korba for having provided a similar service for a long time.
PGN:
[Event "CCRL 40/15"]
[Site "CCRL"]
[Date "2023.07.26"]
[Round "888.4.351"]
[White "Stockfish 16 64-bit"]
[Black "Berserk 11.1 64-bit"]
[Result "*"]
[WhiteElo "3514"]
[BlackElo "3455"]
[Variant "Standard"]
[TimeControl "-"]
[ECO "D02"]
[Opening "Queen's Pawn Game: London System"]
[Termination "Unterminated"]
[Annotator "lichess.org"]
1. Nf3 d5 2. d4 Nf6 3. Bf4 { D02 Queen's Pawn Game: London System } c5 4. e3 Nc6 5. Nbd2 Qb6 6. dxc5 Qxb2 7. Rb1 Qc3 8. Bb5 e6 9. O-O Be7 10. e4 O-O 11. e5 Nd7 12. Nb3 Qb4 13. Nfd4 Nxd4 14. Nxd4 Qxc5 15. Bxd7 Bxd7 16. Rxb7 Rad8 17. Qd3 Qc8 18. Rfb1 Bc5 19. Bg5 Rde8 20. R7b3 Bxd4 21. Qxd4 Qxc2 22. Rc1 Qxa2 23. Rg3 Rc8 24. Rf1 Bb5 25. Bf6 g6 26. Qh4 Qe2 27. Rb1 Qd2 28. Bg5 Qc2 29. Re1 Rc4 30. Qxh7+ Kxh7 31. Rh3+ Kg8 32. Bf6 Qxf2+ 33. Kxf2 Rf4+ 34. Kg3 Rxf6 35. exf6 Rd8 36. Rh6 Rd6 37. Rc1 Ba6 38. Rb1 Rd8 39. Rb3 e5 40. Kh4 Bc8 41. g4 Ba6 42. Kg5 Bf1 43. h4 d4 44. h5 Bg2 45. hxg6 fxg6 46. Ra3 Rd7 *
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17 сен 2024
