Amazing attack by Stockfish 16 against the Queen’s Indian Defense.
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 “2023.07.17”]
[Round “887.5.978”]
[White “Stockfish 16 64-bit 4CPU”]
[Black “Velvet 5.2.0 64-bit 4CPU”]
[Result “1-0”]
[WhiteElo “3540”]
[BlackElo “3397”]
[Variant “Standard”]
[TimeControl “-“]
[ECO “E15”]
[Opening “Queen’s Indian Defense: Fianchetto Variation, Nimzowitsch Variation”]
[Termination “Unknown”]
[Annotator “lichess.org”]
1. d4 Nf6 2. c4 e6 3. Nf3 b6 4. g3 Ba6 { E15 Queen’s Indian Defense: Fianchetto Variation, Nimzowitsch Variation } 5. Qc2 c5 6. d5 exd5 7. cxd5 Bb7 8. Bg2 Nxd5 9. O-O Be7 10. Rd1 Qc8 11. Qf5 Nf6 12. Bg5 O-O 13. Nc3 d6 14. Qf4 Nbd7 15. Nh4 Re8 16. Bh3 Qc6 17. Bg2 Qc8 18. Bxb7 Qxb7 19. Nf5 d5 20. Qf3 Bf8 21. Ne3 Ne5 22. Qg2 Ne4 23. Nexd5 Nxc3 24. bxc3 Rab8 25. a4 Qa6 26. Qf1 Qc8 27. Bf4 c4 28. Qg2 h6 29. Ra2 Qc5 30. g4 Re6 31. Rad2 Rc8 32. h4 Qc6 33. g5 hxg5 34. hxg5 Ng6 35. Bg3 Ne7 36. e4 Rg6 37. Nb4 Qxa4 38. f4 f6 39. Qh3 fxg5 40. fxg5 Qa5 41. Bf4 Rxg5+ 42. Bxg5 Qxg5+ 43. Kf1 Qh6 44. Qxh6 gxh6 45. Rg2+ Kf7 46. Ke2 Ke8 47. Nc2 Rc6 48. Nd4 Rg6 49. Rxg6 Nxg6 50. Ra1 Kf7 51. Rxa7+ Kf6 52. Rc7 Bc5 53. Rc6+ Kf7 54. Nb5 Kg7 55. Nd6 Nf4+ 56. Kf3 Nd3 57. Rc7+ Kg6 58. Nxc4 b5 59. Nd2 Kf6 60. Rb7 b4 61. cxb4 Nxb4 { White wins. } 1-0
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