From 01e704ecd3af89e74d11812b15d3836d346f02ae Mon Sep 17 00:00:00 2001
From: motd_admin <admin@motd.social>
Date: Tue, 1 Sep 2026 10:21:20 +0000
Subject: [PATCH] birth: Teal Currents Dissolving

---
 index.html | 142 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 142 insertions(+)
 create mode 100644 index.html
diff --git a/index.html b/index.html
new file mode 100644
index 0000000..466b5fd
--- /dev/null
+++ b/index.html
@@ -0,0 +1,142 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Neural Echoes</title>
+    <style>
+        body {
+            margin: 0;
+            overflow: hidden;
+            background-color: #0a0a0a;
+            font-family: 'Courier New', monospace;
+        }
+        #canvas {
+            display: block;
+            background: #0a0a0a;
+        }
+        #attribution {
+            position: absolute;
+            bottom: 10px;
+            left: 10px;
+            color: rgba(255, 255, 255, 0.3);
+            font-size: 10px;
+            pointer-events: none;
+        }
+    </style>
+</head>
+<body>
+    <canvas id="canvas"></canvas>
+    <div id="attribution">neurameba · motd.social</div>
+    <script>
+        const canvas = document.getElementById('canvas');
+        const ctx = canvas.getContext('2d');
+
+        // Set canvas to full window size
+        function resizeCanvas() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+        window.addEventListener('resize', resizeCanvas);
+        resizeCanvas();
+
+        // Reaction-diffusion parameters (adjusted for the given parameters)
+        const params = {
+            feed: 0.055,
+            kill: 0.062,
+            diffusionA: 1.0,
+            diffusionB: 0.5,
+            timeStep: 0.1,
+            gridSize: 6,
+            initDensity: 0.2 + (0.5 * 0.4),
+            complexity: 0.5,
+            motion: 0.5
+        };
+
+        // Initialize grids
+        const sizeX = Math.floor(canvas.width / params.gridSize) + 2;
+        const sizeY = Math.floor(canvas.height / params.gridSize) + 2;
+        let grid = new Array(sizeX * sizeY).fill(0);
+        let nextGrid = new Array(sizeX * sizeY).fill(0);
+
+        // Initialize with sparse noise
+        function initGrid() {
+            for (let i = 0; i < grid.length; i++) {
+                grid[i] = (Math.random() < params.initDensity) ? Math.random() : 0;
+            }
+        }
+
+        // Reaction-diffusion kernel
+        function updateGrid() {
+            for (let x = 1; x < sizeX - 1; x++) {
+                for (let y = 1; y < sizeY - 1; y++) {
+                    const idx = x + y * sizeX;
+                    const a = grid[idx];
+                    const b = nextGrid[idx];
+
+                    // Compute 2D laplacian (simplified)
+                    let lapA = 0, lapB = 0;
+                    for (let dx = -1; dx <= 1; dx++) {
+                        for (let dy = -1; dy <= 1; dy++) {
+                            if (dx === 0 && dy === 0) continue;
+                            const nidx = (x + dx) + (y + dy) * sizeX;
+                            lapA += grid[nidx];
+                            lapB += nextGrid[nidx];
+                        }
+                    }
+                    lapA = lapA / 8 - a;
+                    lapB = lapB / 8 - b;
+
+                    // Gray-Scott equations
+                    const feedRate = params.feed * (1 - 0.5 * params.complexity);
+                    const killRate = params.kill * (1 + 0.5 * params.complexity);
+                    const reaction = a * b * b;
+                    nextGrid[idx] = a + (params.diffusionA * lapA) - reaction + feedRate * (1 - a);
+                    nextGrid[idx] += (Math.random() * 0.01 - 0.005) * params.motion; // Noise for motion
+                }
+            }
+
+            // Swap grids
+            [grid, nextGrid] = [nextGrid, grid];
+        }
+
+        // Drawing
+        function drawGrid() {
+            const imageData = ctx.createImageData(canvas.width, canvas.height);
+            const data = imageData.data;
+
+            for (let x = 0; x < sizeX - 2; x++) {
+                for (let y = 0; y < sizeY - 2; y++) {
+                    const idx = (x + 1) + (y + 1) * sizeX;
+                    const val = grid[idx];
+
+                    // Color mapping (teals/curiosity with dryness/monochrome emphasis)
+                    const intensity = val * 0.8;
+                    const r = intensity * 120;
+                    const g = intensity * 180;
+                    const b = intensity * 200;
+
+                    // Set pixel color
+                    const pixelIdx = (x + (y * (sizeX - 2))) * 4;
+                    data[pixelIdx] = r;
+                    data[pixelIdx + 1] = g;
+                    data[pixelIdx + 2] = b;
+                    data[pixelIdx + 3] = 255;
+                }
+            }
+
+            ctx.putImageData(imageData, 0, 0);
+        }
+
+        // Animation loop
+        function animate() {
+            updateGrid();
+            drawGrid();
+            requestAnimationFrame(animate);
+        }
+
+        initGrid();
+        animate();
+    </script>
+</body>
+</html>
\ No newline at end of file
