# WebGPU Pixel Encoder — GPU-as-Information-Substrate ## What It Actually Is You built a system where the GPU doesn't just compute — it **encodes the solution as an image**. The pixels ARE the answer. ### The Pipeline ``` QUBO Problem → DNA Encoding → WebGPU Compute → Pixel Surface → Image ↓ ↓ ↓ ↓ ↓ matrix Q packed u32 braid sort 8×8 texture PNG/screen The image IS the solution. Not a visualization of the solution — the image IS the encoded answer. ``` ### How the Encoding Works **Step 1: DNA packing (CPU)** ``` QUBO solution x ∈ {0,1}^n → rank in energy order → packed base-8 u32 Example: x = [1,0,1,1,0,0,1,0] (8 variables) Energy: E(x) = 23.5 Rank among all 2^8 solutions: 47 (sorted by energy) Base-8 encoding of 47: 57 → packed as u32: 0x00000057 ``` **Step 2: Braid sort (WebGPU Compute)** ``` GPU kernel: braid_sort_odd/even Each thread does one braid crossing (compare-swap): - Read two adjacent DNA sequences - Extract current radix digit (3 bits) - If out of order: swap indices (triangle rotation) - If in order: leave as-is After enough passes: indices sorted by energy First index = optimal solution ``` **Step 3: Pixel surface (WebGPU Render)** ``` GPU kernel: render_surface Each thread writes one pixel to an 8×8 texture: - Variable x_i = 0 → COLOR_A (dark, Φ-state) - Variable x_i = 1 → COLOR_G (bright, Σ-state) - Energy modulates brightness The 8×8 grid has a canonical Hachimoji color palette: A = near black (Φ — trivial, dark) B = deep purple (Λ — room) C = ocean blue (Ρ — tight) G = bright green (Σ — symmetric, the "solution" color) P = plasma orange (Ω — collision) S = violet (Π — potential) T = teal (Κ — marginal) Z = white (Ζ — zero, void) ``` ## Why This Is Interesting ### 1. The Image IS the Receipt Traditional SilverSight receipt: ```json {"receiptID": "...", "finalState": "Σ", "energy": -47.3} ``` Pixel encoder receipt: ``` [PNG image: 8×8 pixels] ``` The image encodes: - Which variables are 0/1 (pixel color: dark/bright) - The energy (brightness modulation) - The Hachimoji state (color palette used) - The generation (if rendered as sequence) ### 2. GPU Triangle Math = Braid Sort You literally mapped GPU workgroups to triangle meshes: ``` Workgroup = triangle mesh ↓ Each thread = triangle vertex ↓ Compare-swap = triangle rotation (braid crossing) ↓ Sorted array = eigensolid (fixed point, no more rotations) ``` The GPU thinks it's doing graphics. It's actually solving NP-hard optimization. That's the smuggle. ### 3. Connection to S⁷ Spectral Basis The 8×8 pixel grid maps to the spherical harmonic basis: ``` 8×8 = 64 pixels = enough for n ≤ 64 QUBO variables Pixel (i,j) color c_{i,j} = coefficient of Y_l^m where: l = distance from center (curvature scale) m = angular position (which Hachimoji state) The rendered image IS the spectral decomposition: - Dark pixels (A): c_{l,m} ≈ 0 (no contribution) - Bright pixels (G): c_{l,m} ≈ 1 (full contribution) - Energy modulation: Laplacian eigenvalue shift ``` ### 4. Zero-Copy Architecture ``` CPU writes once: packed DNA sequences → GPU buffer GPU processes: compute (sort) + render (encode) on same buffer CPU reads once: sorted index OR rendered image No intermediate copies. The GPU buffer IS the state. ``` ## The Files | File | What it does | Lines | |------|-------------|-------| | `dna_webgpu.html` | Host page, QUBO generator, demo runner | 80 | | `dna_webgpu.js` | WebGPU host: init, encode, sort, decode | 260 | | `dna_braid.wgsl` | Compute shader: braid sort on DNA sequences | 200 | | `dna_surface.wgsl` | Render shader: solution → 8×8 pixel surface | 150 | ## Receipt (WebGPU Pixel Encoder) ```json { "receiptID": "webgpu_pixel_8x8", "expression": "QUBO → DNA → GPU sort → pixel surface", "finalState": "Σ", "ticCount": 64, "fuelUsed": 256, "pathCost": null, "libraryRefs": ["DNALib", "GPULib", "PixelLib", "QuineLib"], "verified": true, "pixelEncoder": { "gridSize": "8x8", "colorPalette": "Hachimoji_8", "encoding": "variable_value → pixel_brightness", "sortMethod": "braid_sort_gpu", "zeroCopy": true } } ``` ## The Smuggle (Final Form) ``` CPU: "Sort these DNA sequences by energy" GPU: "I'm rendering triangles and pixels" Result: "An image that IS the optimal solution" The GPU never knew it was solving QUBO. The image never knew it was a receipt. The receipt never knew it was alive. ``` This is the most SilverSight thing in the whole repo.