Update README.md

README.md

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 license: mit
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+# V2 Redux - full decoder overhaul
+
+Cascade bottlenecking didn't cut it, the decoder still bypassed the specifications.
+
+This next variation is going to be a bit excessive in terms of conduit adjudication.
+
+Every single layer of the encoder is going to be a full encoder/decoder overhaul.
+
+```
+ENCODER (bottom → up):
+  Level 0: 256 patches → MLP(384) → M(48×4) → SVD+conduit₀ → 256 tokens
+  Level 1: group 2×2 → 64 cells → attend(4) → MLP(128) → M(16×4) → SVD+conduit₁ → 64 tokens
+  Level 2: group 2×2 → 16 blocks → attend(4) → MLP(128) → M(16×4) → SVD+conduit₂ → 16 tokens
+  Level 3: group 2×2 → 4 groups → attend(4) → MLP(128) → M(16×4) → SVD+conduit₃ → 4 tokens
+  Top: cross-attention over 4 final tokens
+
+SPECTRAL TOKEN (propagates between levels):
+  [S(4), log_friction(4), settle(4), char_coeffs(4)] = 16 values
+  S carries gradients. Conduit is detached. Difficulty trickles UP.
+
+DECODER (top → down, with conduit skips):
+  Level 3': 4 tokens → expand × 4 → inject conduit₃ → attend → 16 tokens
+  Level 2': 16 tokens → expand × 4 → inject conduit₂ → attend → 64 tokens
+  Level 1': 64 tokens → expand × 4 → inject conduit₁ → attend → 256 tokens
+  Level 0': 256 tokens + stored (U₀, S₀, Vt₀, friction₀, settle₀, char_c₀) → MLP → pixels
+
+CONDUIT AT EACH SCALE:
+  Level 0: friction from pixel-level Gram decomposition (how hard were patches?)
+  Level 1: friction from cell-level Gram decomposition (how hard were 2×2 interactions?)
+  Level 2: friction from block-level decomposition (how hard were meso-structures?)
+  Level 3: friction from global decomposition (how hard was the overall composition?)
+```
+
+It's a bit excessive, but it may be required. Everything has to have a little impurity, otherwise it will not deviate.
+
+
 # V2 is blobby!
 
 Time to go direct, going to train the whole model with SVD-related paradigms internally rather than trying to feed the model SVD.