Chess Engines Diary

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Chess engine: Camel 1.5.1

Camel is a chess engine written from scratch in Rust. It aims to achieve a high level of play, while also being easy to understand and modify. It is primarily meant to be used within a GUI compatible with the UCI protocol, but may also be operated in a CLI. Author: Bruno Mendes! Rating CEDR=2166 v.1.5.1: This patch fixes the handling of negative remaining times, which is necessary for GUIs such as CuteChess (thank you, @tissatussa, for the report). It also includes minor search optimizations. Changelog Parse negative remaining times as zero Don't probe the transposition table just before dropping into quiescence search Don't search for longer mates if we've already found one (mate distance pruning) Clear killer moves when starting new searches Store killer moves by ply instead of depth Estimated Strength Against v1.5.0 [hash=64; threads=1]: 🆗 Elo difference: 15.65 +/- 22.22 Camel 1.4.0 - results: Stellar 1.4.0 1/4 -2 4 Games Motor 0.3.0 0.5/4 -3 4 Games Belette 3.0.0

Chess engine: CuckooChess 1.13 (java)

Peter Österlund: "I wanted to test how good Java is at evaluating neural networks, so I ported the NN code I use in Texel to CuckooChess. As expected the performance is really bad compared to hand-optimized C++ code using SIMD intrinsics. Consequently CuckooChess 1.13 is 10 to 15 times slower (NPS) than the previous CuckooChess version, and 20 to 25 times slower than Texel. It is still quite a bit stronger than the previous CuckooChess version, at least at bullet and blitz time controls. Maybe some people will find it interesting to have an engine with a decent evaluation but very weak tactical abilities, so I am releasing this test as CuckooChess 1.13. " CuckooChess 1.13 download See also previous entries about this engine: This is prehistory 🙂 11 years ago: Cuckoochess 1.10 wins Elimination CEDR-Rank6 13-14.08.2011 This is prehistory 🙂 11 years ago: Cuckoochess 1.10 wins Elimination CEDR-Rank6 13-14.08.2011

Chess engine: BrainLearn 28.1 NNUE (for Windows, MacOs and Android)

BrainLearn - UCI chess engine Rating CEDR=3745 BrainLearn is a free, powerful UCI chess engine derived from BrainFish. It is not a complete chess program and requires a UCI-compatible GUI (e.g. XBoard with PolyGlot, Scid, Cute Chess, eboard, Arena, Sigma Chess, Shredder, Chess Partner or Fritz) in order to be used comfortably. Read the documentation for your GUI of choice for information about how to use Stockfish with it. v.28.1: Improved Opening Variety (Idea implemented in Hypnos) Extended LiveBook (also egtbs) Now, the ChessDB livebook is usable, again not in analysis or search for mate, even in endgame positions with at most 7 units on the board) Brainlearn 28 - results: Crystal 8 17.5/32 +3 32 Games Yuli GM Pro 16 15/29 +1 29 Games Stockfish 16.1 13.5/28 -1 28 Games Yuliirma 4.0 13/27 -1 27 Games Raid 3.6 TR 12.5/26 -1 26 Games Cool Iris 12.20 D-3072 13.5/24 +3 24 Games JigSaw 5.5i 12.5/24 +1 24 Games Marauders 3.3i 12/24 +0 24 Games Deep Blue 20240315-killer 12/24 +0 24 Ga

Chess engine: Arcanum 2.0 NNUE

Arcanum is a free UCI chess engine under the MIT license. Rating CEDR=2922 v.2.0: ELO estimate Some preliminary testing against itself and other engines estimates this version to be about 150 - 200 ELO stronger than the previous v1.12 version. Changes: Evaluation is replaced by a floating point NNUE created from self play, starting from the HCE from Arcanum v1.12. It is a simple 768->256->1 net without any quantization. Add support for syzygy Add support for go perft uci command Fix mate depth reporting. Previously a depth of 0 could be reported due to rounding towards zero. Add futility pruning at depth 2 and 3 Use number of non-reversable moves as a metric for replacing TT entries Use null-window for null-move-pruning The code for training the NNUE is included in the engine, but not documented. Arcanum 1.11.1 - results Lambergar 0.3.1c 13/16 +10 16 Games Lynx 1.0.1 9.5/14 +5 14 Games Protej 20231118d 9.5/14 +5 14 Games Kuma 1.2 3.5/14 -7 14 Games Freda 0.99 13/13 +13 13 Game

Obsidian 12.0 wins Arena - Amateur Engines Test, by CEDR 2024.04.27 - 2024.05.01

The Chess Engines Diary team also tests weaker (than Stockfish and derivatives) chess engines. We respect the work of their authors and, by doing tests, we encourage them to continue working. This tournament was won by Obsidian 12.0 before the Alexandria 6.1.0 engine. In third place is Clover 6.1.19 . 🕓 Time 3'+3" 💻Lenovo Z710 i7-4710MG 8GB RAM 🖬 GUI-Arena All CEDR 333.448 games download (01.05.2024 - 3'+3") 💾 552 (!) games from the tournament download 👍 @chessenginesdiary Country - Poland, City - Malbork P Engine CEDR Score Chg +/-/= 1: Obsidian 12.0 3660 39.5 / 46 +14 (+33 -0 =13) 2: Alexandria 6.1.0 3620 39.0 / 46 +18 (+33 -1 =12) 3: Clover 6.1.19 3644 37.0 / 46 -9 (+28 -0 =18) 4: Rice 8.0.0 3481 34.5 / 46 +14 (+25 -2 =19) 5: Tenax 1.0 3502 34.5 / 46

Chess engine: Stockfish 20240501 Ivec

Stockfish - UCI chess engine, compiled by Ivec Rating CEDR=3747 We highly recommend this Stockfish compilation (by Ivec). The engine performs very well in our tests. Chess Engines Diary Team. Stockfish 20240330 Ivec - results: Alexandria 6.1.0 13.5/21 +6 21 Games Caissa 1.18 12/20 +4 20 Games Stockfish 16.1 9/18 +0 18 Games Rebel 16.3 10/16 +4 16 Games Stockfish 20240411 8/16 +0 16 Games Yuli GM Pro 16 7.5/15 +0 15 Games Raid 3.6 TR 7.5/15 +0 15 Games SF-PRO 13.04.2024 7/14 +0 14 Games HypnoS 030424 6.5/14 -1 14 Games Berserk 13 6.5/13 +0 13 Games CorChess 20240331 6/12 +0 12 Games Uralochka 3.41 dev4 7.5/11 +4 11 Games Yuliirma 4.0 4.5/9 +0 9 Games Arasan 24.2.1 5.5/8 +3 8 Games Obsidian 12.0 5/8 +2 8 Games Brainlearn 28 4/8 +0 8 Games SF 16.1 MPV 4/8 +0 8 Games Cool Iris 12.10 4/8 +0 8 Games Fisherov chess monk 1.2 4/8 +0 8 Games SFS 290324 4/8 +0 8 Games Lambergar 0.5.1 7/7 +7 7 Games Stockfish 20240501 Ivec NNUE download

New version chess engine: CorChess 20240502

CorChess is a clone of Stockfish maintained for better performance on long time controls, trying at least partially to fill the gap between regular tests and demands of correspondence players. 👍The Chess Engines Diary team recommends this engine for analyzing chess games and particularly complex positions. Thanks to the Author Ivan Ivec Rating CEDR=3770 (3'+3") CorChess 20240502 download CorChess 20240422 - results: Stockfish 16.1 12.5/24 +1 24 Partii Yuliirma 4.0 12/22 +2 22 Partii JigSaw 5.5i 12/22 +2 22 Partii Deep Blue 20240315-killer 11.5/22 +1 22 Partii ShashChess 35.2 11.5/22 +1 22 Partii Yuli GM Pro 16 11/22 +0 22 Partii SF-PRO 13.04.2024 11/22 +0 22 Partii Raid 3.6 TR 11/22 +0 22 Partii Stockfish 20240421 10.5/22 -1 22 Partii Brainlearn 28 11/20 +2 20 Partii Marauders 3.3i 11/20 +2 20 Partii Crystal 8 10/20 +0 20 Partii Cool Iris 12.20 D-3072 10/20 +0 20 Partii HypnoS 220424 9.5/20 -1 20 Partii Alexandria 6.1.0 2.5/4 +1 4 Partii Berserk 13 2.5/4 +1 4 Partii

SF-PRO 25042024 wins Strong Engines Tournament, by Chess Engines Diary 30.04.2024

The latest SF-PRO 25042024 engine (which is only available to our testers) won a large tournament of very powerful chess engines. Four engines are just half a point behind it: SF PB 240424, Big-SF 210324 , HypnoS 030424 and Yuliirma 4.0 . How strong the current chess engines are is demonstrated by the Critter 1.6a result, which achieved only one result out of 56 games. 🕓 Time 3'+3" 💻HP Pavilion i5-1035G1 8GB RAM 🖬 GUI-Banksia All CEDR 333.448 games download (01.05.2024 - 3'+3") 💾 812 (!) games from the tournament download 👍 @chessenginesdiary Country - Poland, City - Malbork Tech table: Engine KN/move NPS dep/mov time/mov mov/game time/game fails AbbyStein v2.8 1744 379894 35.4 4.6 65.6 301.4 Alexandria 6.1.0 2808 552186 29.3 5.1 72.2 366.9 Arasan 24.2.2 3247 496457 26.2 6.5 48.6 317.6 Big-SF 210324 1714 306232 27.6 5.6 61.3 343.0 Blue Marlin 15.7 3338 598824 32.8 5.6 62.8 350.2 Caissa 1.18 4716 884763 28.9 5.3 66.6 354.7 Clov

Stockfish 2024050112 NNUE for Windows and Linux, interesting compilation by Dubslow (Elo +2.51)

Stockfish 2024050112 - UCI chess engine, compiled by Dubslow Rating CEDR=3761 Stockfish 2024050112 (all versions) download Timestamp: 1714565450 Use capture history to better judge which sacrifices to explore This idea has been bouncing around a while. @Vizvezdenec tried it a couple years ago in Stockfish without results, but its recent arrival in Ethereal inspired him and thence me to try it afresh in Stockfish. (Also factor out the now-common code with futpruning for captures.) STC: https://tests.stockfishchess.org/tests/view/662355bc3fe04ce4cefc18ac LLR: 2.92 (-2.94,2.94) <0.00,2.00> Total: 45760 W: 11970 L: 11640 D: 22150 Elo +2.51 Ptnml(0-2): 124, 5371, 11625, 5571, 189 LTC: https://tests.stockfishchess.org/tests/view/662dda396115ff6764c817c9 LLR: 2.94 (-2.94,2.94) <0.50,2.50> Total: 243828 W: 62042 L: 61287 D: 120499 Elo +1.08 Ptnml(0-2): 211, 27202, 66329, 27965, 207 closes https://github.com/official-stockfish/Stockfish/pull/5200 Bench: 1480008 Stockfish 202402