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As usual, downloads will be freely available at stockfishchess.org/download.
The engine is now significantly stronger than just a few months ago, and wins four times more game pairs than it loses against the previous release version. Stockfish 14 is now at least 400 Elo ahead of Stockfish 7, a top engine in 2016. During the last five years, Stockfish has thus gained about 80 Elo per year.
Stockfish 14 evaluates positions more accurately than Stockfish 13 as a result of two major steps forward in defining and training the efficiently updatable neural network (NNUE) that provides the evaluation for positions.
First, the collaboration with the Leela Chess Zero team – announced previously – has come to fruition. The LCZero team has provided a collection of billions of positions evaluated by Leela that we have combined with billions of positions evaluated by Stockfish to train the NNUE net that powers Stockfish 14. The fact that we could use and combine these datasets freely was essential for the progress made and demonstrates the power of open source and open data.
Second, the architecture of the NNUE network was significantly updated: the new network is not only larger, but more importantly, it deals better with large material imbalances and can specialize for multiple phases of the game. A new project, kick-started by Gary Linscott and Tomasz Sobczyk, led to a GPU accelerated net trainer written in pytorch. This tool allows for training high-quality nets in a couple of hours.
Finally, this release features some search refinements, minor bug fixes and additional improvements. For example, Stockfish is now about 90 Elo stronger for chess960 (Fischer random chess) at short time control.
The Stockfish project builds on a thriving community of enthusiasts (thanks everybody!) that contribute their expertise, time, and resources to build a free and open-source chess engine that is robust, widely available, and very strong. We invite our chess fans to join the fishtest testing framework and programmers to contribute to the project on github.
PGN:
[Event “?”]
[Site “https://lichess.org/IKS2WYCU“]
[Date “2021.07.05”]
[Round “21”]
[White “Stockfish_14”]
[Black “rofChade_2.3”]
[Result “1-0”]
[WhiteElo “?”]
[BlackElo “?”]
[Variant “Standard”]
[TimeControl “-“]
[ECO “C38”]
[Opening “King’s Gambit Accepted: Traditional Variation”]
[Termination “Unknown”]
[Annotator “lichess.org”]
1. e4 e5 2. f4?! { (0.12 → -0.52) Inaccuracy. Nf3 was best. } (2. Nf3 Nc6 3. Bb5 Nf6 4. O-O Nxe4 5. Re1 Nd6 6. Nxe5 Be7) 2… exf4 3. Nf3 g5 4. Bc4? { (-0.37 → -1.61) Mistake. h4 was best. } (4. h4 g4 5. Ne5 d6 6. Nxg4 Be7 7. d4 Bxh4+ 8. Nf2 Bg3) 4… Bg7?! { (-1.61 → -0.87) Inaccuracy. g4 was best. } { C38 King’s Gambit Accepted: Traditional Variation } (4… g4 5. O-O gxf3 6. Qxf3 Qf6 7. d3 Nc6 8. Bxf4 d6 9. Nc3) 5. d4 Nc6 6. h4 h6 7. Nc3 d6 8. Qd3 Kf8 9. Ne2 Na5 10. Bd5 c6 11. Bxf7 Kxf7 12. b4 d5 13. hxg5 dxe4 14. g6+?! { (0.22 → -0.41) Inaccuracy. Qxe4 was best. } (14. Qxe4 Nc4 15. g6+ Kf8 16. O-O Qe7 17. Ne5 Nf6 18. Qd3 Nxe5 19. dxe5 Nd5 20. Nxf4 Nxf4) 14… Kf8 15. Qxe4 Nc4 16. O-O?! { (0.56 → -0.39) Inaccuracy. O-O was best. } (16. O-O Qe8 17. Ne5 Nf6 18. Qd3 Nxe5 19. dxe5 Nd5 20. Bb2 Kg8 21. c4 Ne7 22. Nxf4 Bf5) 16… Qe7 17. Qd3 Ne3 18. Nxf4 Nxf1 19. b5 c5 20. Qxf1 Bf5? { (0.44 → 1.89) Mistake. Bg4 was best. } (20… Bg4 21. Bd2 Bxf3 22. Qxf3 Bxd4+ 23. Kf1 Bxa1 24. Nd5+ Ke8 25. Nxe7 Nxe7 26. Qxb7 Rd8 27. Ba5) 21. Qc4 Bg4?! { (2.16 → 3.50) Inaccuracy. Rd8 was best. } (21… Rd8 22. Bb2) 22. Ba3 Qe3+ 23. Kh1 Qxf4 24. Rf1 Ke8 25. Ne5 Qxf1+ 26. Qxf1 Be6 27. Nf7 Ne7 28. Bxc5 Rc8 29. Nxh8 Bxh8 30. Qe1 Bxd4 31. Bxd4 Kd7 32. g7 b6 33. Bf6 Ng8 34. Qd1+ Ke8 35. Bb2 Ne7 36. a4 Nd5 37. Qd4 Ke7 38. c4 Nc7 39. Ba3+ Kf7 40. Qf4+ Kg6 41. Bb2 Re8?! { (10.92 → Mate in 7) Checkmate is now unavoidable. Bf5 was best. } (41… Bf5 42. Qe5) 42. Qf6+ Kh7 43. Qf8 Rxf8 { White wins. } 1-0
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