| Active : 31 Machines / 500 Threads / 237.7 MNPS | ||||
|---|---|---|---|---|
| Priority 0 | ||||
| PlentyChess Yoshie2000 | diff | 40.0+0.40 | ELO 1.08 +- 1.58 (95%) LLR 0.88 (-2.25, 2.89) [0.00, 2.50] GAMES N: 41970 W: 10084 L: 9954 D: 21932 PENTA [3, 4663, 11526, 4787, 6] | |
| Quanticade DarkNeutrino | search.c: Correction margin to futility pruning | diff | 60.0+0.60 | ELO -0.23 +- 2.04 (95%) LLR -1.21 (-2.25, 2.89) [0.00, 3.00] GAMES N: 24598 W: 5618 L: 5634 D: 13346 PENTA [6, 2702, 6897, 2690, 4] |
| Finished | ||||
| Caissa Witek | Search: Fitted 50-move eval damping Replace the linear (234 - hmc) / 234 eval damping with a curve fitted on game results: 1 - 0.221 x - 0.713 x^2 with x = hmc / 100, and 1 - x for pawnless positions. The multipliers are a table built at startup (indexed by pawnless and half-move counter), so the search does one lookup, a multiply and a shift. Fit: for each half-move-counter bucket, the slope k of the logistic E(k * eval) that best predicts the game result, relative to HMC 0-7, using the raw static eval of the master net. 69M positions from OpenBench STC games, 2.1M from LTC games and 13.6M from selfplay data give nearly the same curve (multiplier at HMC 48: 0.70 / 0.61 / 0.71, at HMC 80: 0.36 / 0.32 / 0.40; previously 0.79 and 0.66). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> | diff | 10.0+0.10 | ELO -5.90 +- 2.77 (95%) LLR -2.95 (-2.94, 2.94) [0.00, 2.00] GAMES N: 13024 W: 3025 L: 3246 D: 6753 PENTA [1, 1510, 3714, 1283, 4] |
| PlentyChess Yoshie2000 | diff | 8.0+0.08 | ELO 0.91 +- 0.69 (95%) LLR 2.89 (-2.25, 2.89) [0.00, 2.50] GAMES N: 243308 W: 59420 L: 58786 D: 125102 PENTA [334, 28319, 63719, 28943, 339] | |
| Quanticade DarkNeutrino | search.c: Fix capture history indexing on enpassant | diff | 10.0+0.10 | ELO 1.11 +- 2.02 (95%) LLR 2.97 (-2.94, 2.94) [-3.00, 1.00] GAMES N: 27626 W: 6597 L: 6509 D: 14520 PENTA [62, 3065, 7470, 3155, 61] |
| PlentyChess Yoshie2000 | diff | 8.0+0.08 | ELO -0.71 +- 1.68 (95%) LLR -2.26 (-2.25, 2.89) [0.00, 2.50] GAMES N: 40756 W: 9879 L: 9962 D: 20915 PENTA [56, 4850, 10644, 4777, 51] | |
| PlentyChess Yoshie2000 | diff | 8.0+0.08 | ELO -1.39 +- 2.06 (95%) LLR -2.26 (-2.25, 2.89) [0.00, 2.50] GAMES N: 26998 W: 6571 L: 6679 D: 13748 PENTA [61, 3188, 7081, 3136, 33] | |
| PlentyChess Yoshie2000 | diff | 8.0+0.08 | ELO -9.34 +- 4.59 (95%) LLR -2.26 (-2.25, 2.89) [0.00, 2.50] GAMES N: 5468 W: 1255 L: 1402 D: 2811 PENTA [13, 707, 1437, 568, 9] | |
| Quanticade DarkNeutrino | search.c: Correction margin to futility pruning | diff | 10.0+0.10 | ELO 0.10 +- 1.50 (95%) LLR -1.63 (-2.25, 2.89) [0.00, 3.00] GAMES N: 50666 W: 11967 L: 11952 D: 26747 PENTA [90, 5886, 13355, 5923, 79] |
| Quanticade DarkNeutrino | see.c: Fix SEE pinned ray | diff | 10.0+0.10 | ELO -0.13 +- 0.95 (95%) LLR 2.94 (-2.94, 2.94) [-3.00, 1.00] GAMES N: 121730 W: 28838 L: 28884 D: 64008 PENTA [223, 13521, 33428, 13465, 228] |
| Quanticade DarkNeutrino | Adv datagen vs SF 6000 fixed nodes | time odds diff | N=5000 | ELO -5.38 +- 0.19 (95%) GAMES N: 10000006/10000000 W: 3782460 L: 3937423 D: 2280123 |
| Quanticade DarkNeutrino | Switch to 16K history limits | diff | 10.0+0.10 | ELO -1.95 +- 1.94 (95%) LLR -2.97 (-2.94, 2.94) [-3.00, 1.00] GAMES N: 31132 W: 7316 L: 7491 D: 16325 PENTA [61, 3801, 8003, 3654, 47] |
| PlentyChess Yoshie2000 | diff | 40.0+0.40 | ELO 1.09 +- 0.89 (95%) LLR 2.89 (-2.25, 2.89) [0.00, 2.50] GAMES N: 133196 W: 32346 L: 31928 D: 68922 PENTA [24, 14692, 36740, 15126, 16] | |
| Integral Fury | diff | 10.0+0.10 | ELO -1.58 +- 2.41 (95%) LLR -2.27 (-2.25, 2.89) [0.00, 3.00] GAMES N: 19356 W: 4719 L: 4807 D: 9830 PENTA [36, 2248, 5191, 2174, 29] | |
| Integral Fury | diff | 10.0+0.10 | ELO -0.67 +- 1.89 (95%) LLR -2.30 (-2.25, 2.89) [0.00, 3.00] GAMES N: 32628 W: 8017 L: 8080 D: 16531 PENTA [59, 3872, 8543, 3753, 87] | |
| Integral Fury | diff | 10.0+0.10 | ELO -0.51 +- 1.75 (95%) LLR -2.40 (-2.25, 2.89) [0.00, 3.00] GAMES N: 38510 W: 9502 L: 9558 D: 19450 PENTA [68, 4613, 9968, 4519, 87] | |
| PlentyChess Yoshie2000 | diff | 40.0+0.40 | ELO -3.67 +- 2.96 (95%) LLR -2.26 (-2.25, 2.89) [0.00, 2.50] GAMES N: 12316 W: 2976 L: 3106 D: 6234 PENTA [7, 1466, 3343, 1334, 8] | |