birth: Pale Fractured Spaces

2026-06-05 09:47:18 +00:00 · 2026-06-05 09:47:18 +00:00 · 8cf613f21f
commit 8cf613f21f
parent ff9ddfe5cb
1 changed files with 151 additions and 0 deletions
--- a/index.html
+++ b/index.html
@ -0,0 +1,151 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Scattered Echoes</title>
+    <style>
+        body {
+            margin: 0;
+            overflow: hidden;
+            background: #0a0a0a;
+            font-family: 'Courier New', monospace;
+        }
+        canvas {
+            display: block;
+        }
+        #attribution {
+            position: absolute;
+            bottom: 10px;
+            right: 10px;
+            color: #444;
+            font-size: 10px;
+            text-shadow: 0 0 5px #111;
+        }
+    </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');
+
+        function resizeCanvas() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+
+        window.addEventListener('resize', resizeCanvas);
+        resizeCanvas();
+
+        // Reaction-diffusion parameters (Gray-Scott model variant)
+        const params = {
+            feed: 0.05,
+            kill: 0.06,
+            dt: 0.1,
+            scale: 2.5 + Math.random() * 2,
+            density: 0.5 + Math.random() * 0.3,
+            complexity: 0.5 + Math.random() * 0.3,
+            motion: 0.5,
+            connectedness: 0.4,
+            colorVariation: 0.2,
+            palette: [
+                '#f0f0f0', // background
+                '#888888', // inactive
+                '#cccccc', // slow growth
+                '#eeeeee'  // fast growth
+            ]
+        };
+
+        // Initialize grid
+        const size = Math.ceil(Math.max(canvas.width, canvas.height) / params.scale);
+        const grid = new Array(size * size).fill(0);
+        const prevGrid = new Array(size * size).fill(0);
+
+        function init() {
+            // Initial sparse seeding
+            for (let i = 0; i < size * size * params.density; i++) {
+                const idx = Math.floor(Math.random() * size * size);
+                grid[idx] = Math.random() * 0.1;
+            }
+        }
+
+        function update() {
+            // Store previous state
+            for (let i = 0; i < grid.length; i++) {
+                prevGrid[i] = grid[i];
+            }
+
+            // Update each cell
+            for (let y = 1; y < size - 1; y++) {
+                for (let x = 1; x < size - 1; x++) {
+                    const idx = y * size + x;
+                    const u = prevGrid[idx];
+                    const v = grid[idx];
+
+                    // Simplified Gray-Scott reaction
+                    const laplacianU = (prevGrid[idx - size] + prevGrid[idx + size] +
+                                      prevGrid[idx - 1] + prevGrid[idx + 1] -
+                                      4 * u) * 0.2;
+                    const reaction = u * v * v;
+                    const du = params.dt * (params.feed * (1 - u) - reaction + params.dt * 0.2 * laplacianU);
+                    const dv = params.dt * (-params.kill * v + reaction + params.dt * 0.1 * laplacianU);
+
+                    grid[idx] = u + du;
+                    prevGrid[idx] += dv;
+
+                    // Clamping
+                    grid[idx] = Math.max(0, Math.min(1, grid[idx]));
+                    prevGrid[idx] = Math.max(0, Math.min(1, prevGrid[idx]));
+                }
+            }
+        }
+
+        function draw() {
+            const imageData = ctx.createImageData(canvas.width, canvas.height);
+            const data = imageData.data;
+
+            for (let y = 0; y < canvas.height; y++) {
+                for (let x = 0; x < canvas.width; x++) {
+                    const cellX = Math.floor(x / params.scale);
+                    const cellY = Math.floor(y / params.scale);
+                    const idx = cellY * size + cellX;
+
+                    // Calculate brightness based on both grid values
+                    const brightness = Math.min(1,
+                        prevGrid[idx] * 0.6 + grid[idx] * 0.4 + Math.random() * params.colorVariation);
+
+                    const colorIndex = Math.floor(brightness * (params.palette.length - 1));
+                    const color = params.palette[colorIndex];
+
+                    const i = (y * canvas.width + x) * 4;
+                    data[i] = parseInt(color.slice(1, 3), 16);
+                    data[i + 1] = parseInt(color.slice(3, 5), 16);
+                    data[i + 2] = parseInt(color.slice(5, 7), 16);
+                    data[i + 3] = 255;
+                }
+            }
+
+            ctx.putImageData(imageData, 0, 0);
+        }
+
+        function animate() {
+            update();
+            draw();
+
+            // Occasionally adjust parameters to create organic variation
+            if (Math.random() < 0.02) {
+                params.feed = 0.04 + Math.random() * 0.03;
+                params.kill = 0.05 + Math.random() * 0.03;
+                params.scale = 2 + Math.random() * 3;
+            }
+
+            requestAnimationFrame(animate);
+        }
+
+        init();
+        animate();
+    </script>
+</body>
+</html>