restructure: proper project layout, README, kill training

- cuda/ — main LBM kernel (khra_gixx_1024_v5.cu)
- navigator/ — lattice_observer, golden_weave, bridges, mock daemon
- scripts/ — compile, start, launch, setup (paths updated)
- docs/ — system manual
- archive/ — everything else (old kernels, inquiries, experiments)
- README.md — full setup guide: requirements, quick start, use your own LLM
- removed training/ entirely (broken LoRA scripts + datasets)
- .gitignore: exclude build/ logs/ training/ *.jsonl

archive/misc/render_etches.py

@@ -0,0 +1,60 @@
+# Render etch images
+import numpy as np
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+
+NX = 512
+NY = 512
+
+def load_etch(filename):
+    with open(filename, 'rb') as f:
+        rho = np.frombuffer(f.read(NX * NY * 4), dtype=np.float32).reshape(NY, NX)
+        ux = np.frombuffer(f.read(NX * NY * 4), dtype=np.float32).reshape(NY, NX)
+        uy = np.frombuffer(f.read(NX * NY * 4), dtype=np.float32).reshape(NY, NX)
+    return rho, ux, uy
+
+def render_etch(filename, output_name):
+    rho, ux, uy = load_etch(filename)
+    
+    # Velocity magnitude
+    u_mag = np.sqrt(ux**2 + uy**2)
+    
+    # Vorticity (curl of velocity)
+    dux_dy = np.gradient(ux, axis=0)
+    duy_dx = np.gradient(uy, axis=1)
+    vorticity = duy_dx - dux_dy
+    
+    fig, axes = plt.subplots(1, 3, figsize=(15, 5))
+    
+    # Density
+    im0 = axes[0].imshow(rho, cmap='viridis', origin='lower')
+    axes[0].set_title('Density')
+    axes[0].axis('off')
+    plt.colorbar(im0, ax=axes[0], fraction=0.046)
+    
+    # Velocity magnitude
+    im1 = axes[1].imshow(u_mag, cmap='hot', origin='lower', vmin=0, vmax=np.percentile(u_mag, 99))
+    axes[1].set_title('Velocity Magnitude')
+    axes[1].axis('off')
+    plt.colorbar(im1, ax=axes[1], fraction=0.046)
+    
+    # Vorticity
+    vmax = np.percentile(np.abs(vorticity), 99)
+    im2 = axes[2].imshow(vorticity, cmap='RdBu_r', origin='lower', vmin=-vmax, vmax=vmax)
+    axes[2].set_title('Vorticity')
+    axes[2].axis('off')
+    plt.colorbar(im2, ax=axes[2], fraction=0.046)
+    
+    plt.tight_layout()
+    plt.savefig(output_name, dpi=150, bbox_inches='tight')
+    print(f"Saved: {output_name}")
+    plt.close()
+    
+    return rho, u_mag, vorticity
+
+# Render etch 1 (10k) and etch 49 (490k)
+render_etch(r'D:\fractal-brain\beast-build\etch_00010000.bin', 'etch_10k.png')
+render_etch(r'D:\fractal-brain\beast-build\etch_00490000.bin', 'etch_490k.png')
+
+print("\nDone. Compare etch_10k.png vs etch_490k.png")