Create cell_6_output_claude_annoying_me_ignoring_own_rules.txt

cell_6_output_claude_annoying_me_ignoring_own_rules.txt

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+Loading Fresnel (v50_fresnel_64) + CIFAR-10...
+v50_fresnel_64/checkpoints/best.pt: 100%
+ 23.6M/23.6M [00:01<00:00, 43.7MB/s]
+  Patch size: 4, Grid: 16x16, D=4
+  Params: 1,964,643
+
+Fresnel S-value profile on CIFAR-10 sample:
+  S mean: [5.003195285797119, 3.4307751655578613, 2.7023839950561523, 2.140519142150879]
+  S std:  [0.12345327436923981, 0.13213300704956055, 0.161136656999588, 0.1278010755777359]
+  MSE:    0.000000
+
+Precomputing train set...
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+  Train: 50000 images
+Precomputing test set...
+
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+Test: 100%|██████████| 79/79 [00:01<00:00, 45.59it/s]  Test: 10000 images
+
+  Fresnel signal profile:
+    S         : mean=3.3209 std=1.0780 min=1.8129 max=5.3177
+    friction  : mean=43.0709 std=6270.8301 min=4.6188 max=25124204.0000
+    settle    : mean=1.6777 std=0.7668 min=0.0000 max=4.0000
+    error     : mean=0.0000 std=0.0000 min=0.0000 max=0.0002
+
+======================================================================
+  FRESNEL — Spatial Conv Readout — All Conduit Configurations
+======================================================================
+
+──────────────────────────────────────────────────────────────────────
+  Training: Eigenvalues (S) only — 4ch
+──────────────────────────────────────────────────────────────────────
+
+    ep  5 train=32.1% test=34.8%
+    ep 10 train=37.0% test=38.3%
+    ep 15 train=39.9% test=40.7%
+    ep 20 train=41.6% test=42.4%
+    ep 25 train=42.9% test=43.0%
+    ep 30 train=43.3% test=43.5%
+
+  Eigenvalues (S) only — 4ch
+  Channels: 4, Params: 232,714, Time: 29s
+  Best test: 43.6%
+
+    Class         Acc
+    ----------------------
+    airplane   46.1% █████████
+    auto       56.8% ███████████
+    bird       32.4% ██████
+    cat        23.4% ████
+    deer       29.6% █████
+    dog        36.6% ███████
+    frog       52.7% ██████████
+    horse      44.7% ████████
+    ship       62.0% ████████████
+    truck      51.1% ██████████
+
+
+──────────────────────────────────────────────────────────────────────
+  Training: Friction only — 4ch
+──────────────────────────────────────────────────────────────────────
+    ep  5 train=23.4% test=24.0%
+    ep 10 train=30.1% test=30.4%
+    ep 15 train=35.4% test=36.1%
+    ep 20 train=38.8% test=38.5%
+    ep 25 train=40.5% test=40.5%
+    ep 30 train=41.1% test=41.1%
+
+  Friction only — 4ch
+  Channels: 4, Params: 232,714, Time: 30s
+  Best test: 41.2%
+
+    Class         Acc
+    ----------------------
+    airplane   44.6% ████████
+    auto       56.5% ███████████
+    bird       25.9% █████
+    cat        22.2% ████
+    deer       35.4% ███████
+    dog        37.6% ███████
+    frog       50.0% ██████████
+    horse      43.7% ████████
+    ship       52.7% ██████████
+    truck      42.4% ████████
+
+
+──────────────────────────────────────────────────────────────────────
+  Training: Release error only — 1ch
+──────────────────────────────────────────────────────────────────────
+    ep  5 train=9.9% test=10.0%
+    ep 10 train=9.9% test=10.0%
+    ep 15 train=9.9% test=10.0%
+    ep 20 train=9.9% test=10.0%
+    ep 25 train=9.9% test=10.0%
+    ep 30 train=10.0% test=10.0%
+
+  Release error only — 1ch
+  Channels: 1, Params: 230,986, Time: 29s
+  Best test: 10.0%
+
+    Class         Acc
+    ----------------------
+    airplane    0.0% 
+    auto        0.0% 
+    bird        0.0% 
+    cat         0.0% 
+    deer       100.0% ████████████████████
+    dog         0.0% 
+    frog        0.0% 
+    horse       0.0% 
+    ship        0.0% 
+    truck       0.0% 
+
+
+──────────────────────────────────────────────────────────────────────
+  Training: Settle only — 4ch
+──────────────────────────────────────────────────────────────────────
+    ep  5 train=31.4% test=31.7%
+    ep 10 train=35.3% test=34.3%
+    ep 15 train=37.6% test=36.4%
+    ep 20 train=39.0% test=38.4%
+    ep 25 train=39.9% test=39.0%
+    ep 30 train=40.4% test=39.2%
+
+  Settle only — 4ch
+  Channels: 4, Params: 232,714, Time: 28s
+  Best test: 39.2%
+
+    Class         Acc
+    ----------------------
+    airplane   32.4% ██████
+    auto       45.3% █████████
+    bird       30.5% ██████
+    cat        18.2% ███
+    deer       30.9% ██████
+    dog        37.0% ███████
+    frog       53.7% ██████████
+    horse      43.1% ████████
+    ship       53.8% ██████████
+    truck      46.7% █████████
+
+
+──────────────────────────────────────────────────────────────────────
+  Training: S + Friction — 8ch
+──────────────────────────────────────────────────────────────────────
+    ep  5 train=28.0% test=29.9%
+    ep 10 train=34.8% test=35.6%
+    ep 15 train=39.8% test=40.2%
+    ep 20 train=42.8% test=42.5%
+    ep 25 train=44.9% test=44.2%
+    ep 30 train=45.6% test=44.6%
+
+  S + Friction — 8ch
+  Channels: 8, Params: 235,018, Time: 31s
+  Best test: 44.7%
+
+    Class         Acc
+    ----------------------
+    airplane   47.0% █████████
+    auto       56.4% ███████████
+    bird       27.8% █████
+    cat        23.3% ████
+    deer       37.9% ███████
+    dog        40.4% ████████
+    frog       55.9% ███████████
+    horse      52.4% ██████████
+    ship       56.7% ███████████
+    truck      48.5% █████████
+
+
+──────────────────────────────────────────────────────────────────────
+  Training: S + Release error — 5ch
+──────────────────────────────────────────────────────────────────────
+    ep  5 train=31.2% test=33.2%
+    ep 10 train=37.3% test=38.5%
+    ep 15 train=40.0% test=40.8%
+    ep 20 train=41.9% test=42.2%
+    ep 25 train=43.1% test=43.1%
+    ep 30 train=43.4% test=43.4%
+
+  S + Release error — 5ch
+  Channels: 5, Params: 233,290, Time: 30s
+  Best test: 43.5%
+
+    Class         Acc
+    ----------------------
+    airplane   47.1% █████████
+    auto       56.4% ███████████
+    bird       31.6% ██████
+    cat        22.4% ████
+    deer       30.0% ██████
+    dog        37.4% ███████
+    frog       52.9% ██████████
+    horse      44.3% ████████
+    ship       61.3% ████████████
+    truck      50.3% ██████████
+
+
+──────────────────────────────────────────────────────────────────────
+  Training: S + Friction + Release — 9ch
+──────────────────────────────────────────────────────────────────────
+    ep  5 train=28.7% test=29.8%
+    ep 10 train=36.2% test=38.0%
+    ep 15 train=40.9% test=41.9%
+    ep 20 train=43.8% test=43.7%
+    ep 25 train=45.8% test=44.9%
+    ep 30 train=46.4% test=45.1%
+
+  S + Friction + Release — 9ch
+  Channels: 9, Params: 235,594, Time: 32s
+  Best test: 45.1%
+
+    Class         Acc
+    ----------------------
+    airplane   50.3% ██████████
+    auto       54.0% ██████████
+    bird       31.8% ██████
+    cat        23.2% ████
+    deer       36.7% ███████
+    dog        39.2% ███████
+    frog       58.3% ███████████
+    horse      51.4% ██████████
+    ship       57.3% ███████████
+    truck      49.3% █████████
+
+
+──────────────────────────────────────────────────────────────────────
+  Training: FULL CONDUIT — 13ch
+──────────────────────────────────────────────────────────────────────
+    ep  5 train=27.1% test=28.7%
+    ep 10 train=34.3% test=35.6%
+    ep 15 train=39.1% test=39.9%
+    ep 20 train=41.9% test=42.2%
+    ep 25 train=43.6% test=43.5%
+    ep 30 train=44.3% test=43.9%
+
+  FULL CONDUIT — 13ch
+  Channels: 13, Params: 237,898, Time: 32s
+  Best test: 44.0%
+
+    Class         Acc
+    ----------------------
+    airplane   49.1% █████████
+    auto       56.1% ███████████
+    bird       28.4% █████
+    cat        22.1% ████
+    deer       36.5% ███████
+    dog        39.2% ███████
+    frog       50.2% ██████████
+    horse      49.6% █████████
+    ship       57.6% ███████████
+    truck      49.7% █████████
+
+
+======================================================================
+  SCOREBOARD — Fresnel (v50_fresnel_64) Spatial Conv Readout
+======================================================================
+
+  Configuration                         Ch     Params  Test Acc
+  --------------------------------------------------------------
+  Chance                                 —          —     10.0%
+  Release error only — 1ch               1    230,986    10.0%
+  Settle only — 4ch                      4    232,714    39.2%
+  Friction only — 4ch                    4    232,714    41.2%
+  S + Release error — 5ch                5    233,290    43.5%
+  Eigenvalues (S) only — 4ch             4    232,714    43.6%
+  FULL CONDUIT — 13ch                   13    237,898    44.0%
+  S + Friction — 8ch                     8    235,018    44.7%
+  S + Friction + Release — 9ch           9    235,594    45.1%
+
+  --- FRECKLES REFERENCE ---         
+  Scatter + conv (Freckles S)            4       2.9M     70.5%
+
+  Fresnel S-only:    43.6%
+  Best conduit:      45.1% (S + Friction + Release — 9ch)
+  Conduit lift:      +1.6pp
+
+  KEY QUESTION: Does Fresnel's clean training produce
+  conduit signals that Freckles' noise training could not?