Tests
Finished 25 shown
| Author | Engine | Identifier | Code | Time control | Results
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|---|---|---|---|---|---|
| MasterStruct | Eunoia | feat/killer-heuristic | diff ↗ | 8.0+0.08 |
LLR: -1.22 (-2.25, 2.89) [0.00, 5.00] Games: 19254 W: 5902 L: 5863 D: 7489 Ptnml(0-2): 701, 2228, 3708, 2311, 679 |
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Clear killer table before searching
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| nocturn9x | Heimdall | qs-pv-fixes | diff ↗ | 8.0+0.08 |
LLR: -0.61 (-2.25, 2.89) [-5.00, 0.00] Games: 3466 W: 833 L: 869 D: 1764 Ptnml(0-2): 13, 450, 850, 400, 20 |
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Make qsearch keep track of PVs, avoid qsearching with invalid windows and don't cutoff QS in PV nodes (bench 5515662)
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| MasterStruct | Eunoia | feat/killer-heuristic | diff ↗ | 8.0+0.08 |
LLR: -0.98 (-2.25, 2.89) [0.00, 5.00] Games: 3240 W: 970 L: 1002 D: 1268 Ptnml(0-2): 119, 371, 660, 363, 107 |
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Add killer move heuristic
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| nocturn9x | Heimdall | [Potential] main | diff ↗ | 40.0+0.40 |
Elo: 32.17 +- 16.65 (95%) [N=1000] Games: 444 W: 140 L: 99 D: 205 Ptnml(0-2): 2, 34, 107, 79, 0 |
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so eren will stop sending heimdall blunder positions
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| Tecci | WakWak | frac-tunables | diff ↗ | 40.0+0.40 |
Tuning 175 Parameters 5000/5000 Iterations 20000/20000 Games Played |
| paul | Byte-Knight | fix/needless-metadata-compute | diff ↗ | 8.0+0.08 |
LLR: 2.97 (-2.94, 2.94) [-5.00, 0.00] Games: 9302 W: 2595 L: 2515 D: 4192 Ptnml(0-2): 134, 924, 2483, 948, 162 |
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fix: don't recompute metadata if already set
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| Drex | Blini | q-search | diff ↗ | 8.0+0.08 |
LLR: 2.93 (-2.25, 2.89) [0.00, 5.00] Games: 628 W: 218 L: 66 D: 344 Ptnml(0-2): 3, 33, 122, 121, 35 |
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near checkmate scoring
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| MasterStruct | Eunoia | fix/relax-lmp-mate-score | diff ↗ | 8.0+0.08 |
LLR: 1.69 (-2.25, 2.89) [-5.00, 0.00] Games: 15464 W: 4699 L: 4695 D: 6070 Ptnml(0-2): 391, 1629, 3699, 1611, 402 |
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Relax LMP mate score
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| MasterStruct | Eunoia | main | diff ↗ | N=25000 |
LLR: 3.15 (-2.25, 2.89) [-5.00, 0.00] Games: 33150 W: 12066 L: 12079 D: 9005 Ptnml(0-2): 1187, 2734, 8678, 2857, 1119 |
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Fix root position repetition detection
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| MasterStruct | Eunoia | main | diff ↗ | 40.0+0.40 |
LLR: 1.76 (-2.25, 2.89) [-5.00, 0.00] Games: 10636 W: 3065 L: 3034 D: 4537 Ptnml(0-2): 295, 1214, 2274, 1235, 300 |
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Fix root position repetition detection
oops pushed to main
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| MasterStruct | Eunoia | main | diff ↗ | 8.0+0.08 |
LLR: 2.90 (-2.25, 2.89) [-6.70, 0.00] Games: 11452 W: 3466 L: 3438 D: 4548 Ptnml(0-2): 377, 1277, 2385, 1315, 372 |
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Fix root position repetition detection
oops pushed to main
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| MasterStruct | Eunoia | refactor/repetition | diff ↗ | 8.0+0.08 |
LLR: 3.07 (-2.25, 2.89) [-10.00, 0.00] Games: 1846 W: 592 L: 539 D: 715 Ptnml(0-2): 49, 180, 411, 235, 48 |
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Refactor repetition Keys
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| MasterStruct | Eunoia | feat/mate-distance-pruning | diff ↗ | 8.0+0.08 |
LLR: 0.60 (-2.25, 2.89) [-5.00, 0.00] Games: 25004 W: 7491 L: 7581 D: 9932 Ptnml(0-2): 666, 2689, 5873, 2617, 657 |
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Add mate distance pruning
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| MasterStruct | Eunoia | refactor/search-loop | diff ↗ | 8.0+0.08 |
LLR: 0.74 (-2.25, 2.89) [-5.00, 0.00] Games: 10922 W: 3291 L: 3308 D: 4323 Ptnml(0-2): 278, 1076, 2747, 1105, 255 |
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Revert PV implementation
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| nocturn9x | Heimdall | tyrfing-12ksn | diff ↗ | 40.0+0.40 |
LLR: 0.10 (-2.25, 2.89) [0.00, 3.00] Games: 448 W: 116 L: 109 D: 223 Ptnml(0-2): 2, 47, 118, 56, 1 |
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Switch to tyrfing-12ksn (bench 4979204)
Select tyrfing-12ksn network 77F0596E and set the multilayer
scale to 288. Update the documented default scale.
At scale 305, the 7,153,653-position Lichess comparison gives
absolute means 927.90 for master and 981.15 for the new network;
getScale yields 288.446721, rounded to 288.
Validation: make bench with 77F0596E at scale 288 gives 4979204
nodes at depth 13. Confirmed the network ID and compiled scale;
the 10,000-position absolute mean is 911.04. Runtime-check build,
full-book evaluation and Python regressions passed (5 skipped).
Network weights remain local pending separate publication.
Co-authored-by: GPT 6.1 Sol <codex@openai.com>
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| nocturn9x | Heimdall | tyrfing-12ksn | diff ↗ | 8.0+0.08 |
LLR: -0.05 (-2.25, 2.89) [0.00, 3.00] Games: 4238 W: 1130 L: 1123 D: 1985 Ptnml(0-2): 52, 497, 1008, 516, 46 |
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Switch to tyrfing-12ksn (bench 4979204)
Select tyrfing-12ksn network 77F0596E and set the multilayer
scale to 288. Update the documented default scale.
At scale 305, the 7,153,653-position Lichess comparison gives
absolute means 927.90 for master and 981.15 for the new network;
getScale yields 288.446721, rounded to 288.
Validation: make bench with 77F0596E at scale 288 gives 4979204
nodes at depth 13. Confirmed the network ID and compiled scale;
the 10,000-position absolute mean is 911.04. Runtime-check build,
full-book evaluation and Python regressions passed (5 skipped).
Network weights remain local pending separate publication.
Co-authored-by: GPT 6.1 Sol <codex@openai.com>
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| dan | Hobbes | feature/re-corr | diff ↗ | 8.0+0.08 |
LLR: 0.02 (-2.25, 2.89) [0.00, 3.00] Games: 70 W: 16 L: 15 D: 39 Ptnml(0-2): 0, 5, 24, 6, 0 |
| nocturn9x | Heimdall | tyrfing-12ksn | diff ↗ | 8.0+0.08 |
LLR: -0.58 (-2.25, 2.89) [0.00, 3.00] Games: 436 W: 96 L: 132 D: 208 Ptnml(0-2): 6, 66, 105, 40, 1 |
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Switch to tyrfing-12ksn (bench 5228946)
Select the completed SB 1100 tyrfing-12ksn network and set the
multilayer evaluation scale to 274. Update the documented scale.
The 7,153,653-position Lichess comparison gives absolute means
927.90 for master and 1032.37 for the new network at scale 305;
getScale yields 274.135727, rounded to 274.
Validation: make bench with the selected network at scale 274 gives
5228946 nodes at depth 13. Confirmed the built-in network ID and scale.
Runtime-check build and Python regressions passed (5 skipped).
The network weights remain local pending separate publication.
Co-authored-by: GPT 6.1 Sol <codex@openai.com>
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| sp00ph | WakWak | matzo2 | diff ↗ | 8.0+0.08 |
LLR: -1.82 (-2.25, 2.89) [0.00, 4.20] Games: 7884 W: 2921 L: 2993 D: 1970 Ptnml(0-2): 306, 717, 1978, 625, 316 |
| Ellie | WakWak | challah_3 | diff ↗ | 8.0+0.08 |
LLR: -1.01 (-2.25, 2.89) [0.00, 4.20] Games: 24950 W: 9461 L: 9414 D: 6075 Ptnml(0-2): 958, 2186, 6175, 2163, 993 |
| MasterStruct | Eunoia | refactor/search-loop | diff ↗ | 8.0+0.08 |
LLR: -1.26 (-2.25, 2.89) [-5.00, 0.00] Games: 1298 W: 356 L: 419 D: 523 Ptnml(0-2): 44, 149, 308, 122, 26 |
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Cleanup
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| MasterStruct | Eunoia | feat/inc-fp-depth | diff ↗ | 8.0+0.08 |
LLR: -2.30 (-2.25, 2.89) [0.00, 5.00] Games: 5104 W: 1494 L: 1584 D: 2026 Ptnml(0-2): 211, 611, 955, 607, 168 |
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Increase Futility Pruning max depth
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| Drex | Blini | mvv-lva | diff ↗ | 8.0+0.08 |
LLR: -0.04 (-2.25, 2.89) [0.00, 5.00] Games: 2888 W: 545 L: 535 D: 1808 Ptnml(0-2): 35, 304, 761, 304, 40 |
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mvv lva
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| Drex | Blini | mvv-lva | diff ↗ | 8.0+0.08 |
LLR: 0.00 (-2.25, 2.89) [0.00, 5.00] Games: 0 W: 0 L: 0 D: 0 Ptnml(0-2): 0, 0, 0, 0, 0 |
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mvv lva
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| Tecci | WakWak | frac-tunables | diff ↗ | 8.0+0.08 |
LLR: -2.26 (-2.25, 2.89) [-4.20, 0.00] Games: 13872 W: 4793 L: 4972 D: 4107 Ptnml(0-2): 445, 1365, 3462, 1252, 412 |
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make some tunables fractional
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