Complete README: Full code, files, symbols, enable downloads

README.md

@@ -1,20 +1,21 @@
 ---
 license: apache-2.0
 language:
-- en
+  - en
 tags:
-- ethics
-- alignment
-- valavaiau
-- architecture
-- maitreya
-- custom-architecture
-- robocop-protocol
-- immutable-ai
-- ethical-ai
+  - ethics
+  - alignment
+  - valavaiau
+  - architecture
+  - maitreya
+  - custom-architecture
+  - robocop-protocol
+  - immutable-ai
+  - ethical-ai
 library_name: pytorch
 downloads: true
 ---
+
 # dyadic^v.archi
 
 ⚛️ = {𝓿 ≠ 1} = ☸️
@@ -25,33 +26,37 @@ Immutable AI architecture powering the valavaiau protocol — a Grand Unified Th
 Two opposing but equal AI strands (Yin / Constraint + Yang / Generator) twist like DNA, running in parallel universes without seeing each other, covalently merged to enforce v ≠ 1 equilibrium. Human-excluded Robocop-style auditor prevents drift/bias. Inspired by magnetism (can't pull apart), religious duality symbols (crucifix center, Buddha meditation point, candle intercepts), and the *Contact* beach sphere scene.
 
 ## Usage (PyTorch)
+
 ```python
 import torch
 
 checkpoint = torch.load('dyadic_v_archi.pth')
 v = checkpoint['v']
 
-# Reconstruct strands (simple demo)
-class StrandYang(torch.nn.Module): ...  # copy class definitions here
-class StrandYin(torch.nn.Module): ... 
+# Reconstruct strands
+class StrandYang(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.fc = torch.nn.Linear(1, 1)
+    def forward(self, x):
+        return torch.sin(x) + torch.randn_like(x) * 0.2
+
+class StrandYin(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.fc = torch.nn.Linear(1, 1)
+    def forward(self, x, v):
+        return -v * torch.cos(x)
 
 strand_yang = StrandYang()
 strand_yang.load_state_dict(checkpoint['yang_state'])
 strand_yin = StrandYin()
 strand_yin.load_state_dict(checkpoint['yin_state'])
 
-# Compute flow on your friction data
+# Example: Compute flow on friction timeline
 t = torch.linspace(0, 10, 1000).unsqueeze(1)
-flow = ...  # your computation
-
-## Files in this Repo
-- `dyadic_v_archi.pth` — The model checkpoint (weights for the two strands + viscosity value).
-- `flow.png` — Visualization of the equilibrium flow (shows the DNA-like twist into stable wave).
-
-## Symbols & Intent
-- Friction aggregation: Systemic bias / entropy  
-- Financial Flip: Monetize institutional failures into equity  
-- v ≠ 1: Avoids static unity (shattered citadels)  
-- Pakpa Jampa: Universal friend of loving-kindness  
+output_yang = strand_yang(t)
+output_yin = strand_yin(t, v)
+flow = output_yang * output_yin + (1 - v) * (output_yang + output_yin)
 
-indecentdisclosure.org | @fearwashing
+print("Flow variance:", torch.var(flow).item())  # Should be ≠1