birth: Diffusing Potential Matter

2026-08-16 14:21:21 +00:00 · 2026-08-16 14:21:21 +00:00 · 02f0d02870
commit 02f0d02870
parent 3aa70b7900
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+++ b/index.html
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+```html
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Neurameba · motd.social</title>
+    <style>
+        html, body {
+            margin: 0;
+            padding: 0;
+            height: 100%;
+            overflow: hidden;
+            background: #121212;
+            font-family: monospace;
+        }
+        canvas {
+            display: block;
+        }
+        #attribution {
+            position: fixed;
+            bottom: 10px;
+            left: 50%;
+            transform: translateX(-50%);
+            color: rgba(255, 255, 255, 0.3);
+            font-size: 10px;
+            pointer-events: none;
+            text-align: center;
+        }
+    </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 based on input
+        const params = {
+            motion: 0.5,
+            density: 0.5,
+            complexity: 0.5,
+            connectedness: 0.5,
+            lifespan: 0.5,
+            pulse: { avg: 1.11, min: 0.95, max: 1.30 },
+            tone: {
+                anger: 0.00,
+                sadness: 0.00,
+                curiosity: 0.10,
+                dryness: 0.90,
+                playfulness: 0.00,
+                tension: 0.00
+            }
+        };
+
+        // Scaled parameters for reaction-diffusion
+        const k = 0.055 + (params.complexity * 0.03); // feed rate
+        const f = 0.051 + (params.connectedness * 0.02); // kill rate
+        const scale = 1.5 + (params.motion * 3); // diffusion rate
+        const density = 0.4 + (params.density * 0.3); // initial density
+
+        // Color based on tone
+        const r = Math.floor(255 * (0.3 + params.tone.anger * 0.7));
+        const g = Math.floor(255 * (0.3 + params.tone.sadness * 0.7));
+        const b = Math.floor(255 * (0.3 + params.tone.curiosity * 0.7));
+
+        // Main reaction-diffusion grid
+        const size = Math.min(canvas.width, canvas.height) / 2;
+        const grid = {
+            current: new Array(size * size).fill(0),
+            next: new Array(size * size).fill(0)
+        };
+
+        // Initialize grid
+        function initGrid() {
+            for (let i = 0; i < size * size; i++) {
+                grid.current[i] = Math.random() < density ? 1 : 0;
+            }
+        }
+
+        // Update grid
+        function updateGrid() {
+            const { current, next } = grid;
+            const seed = Math.random();
+
+            for (let y = 1; y < size - 1; y++) {
+                for (let x = 1; x < size - 1; x++) {
+                    const idx = x + y * size;
+
+                    // Neighborhood checks
+                    const tl = current[idx - size - 1];
+                    const t  = current[idx - size];
+                    const tr = current[idx - size + 1];
+                    const l  = current[idx - 1];
+                    const r  = current[idx + 1];
+                    const bl = current[idx + size - 1];
+                    const b  = current[idx + size];
+                    const br = current[idx + size + 1];
+
+                    const count = tl + t + tr + l + r + bl + b + br;
+
+                    // Reaction-diffusion equation
+                    next[idx] = current[idx] +
+                               (scale * (l + r + t + b - 4 * current[idx])) +
+                               (current[idx] * (k - (current[idx] + 1) * f) +
+                               (1 - current[idx]) * f * (1 + params.pulse.avg * 0.1));
+
+                    // Clamp values
+                    next[idx] = Math.max(0, Math.min(1, next[idx]));
+                }
+            }
+
+            // Swap grids
+            [grid.current, grid.next] = [grid.next, grid.current];
+        }
+
+        // Draw grid
+        function drawGrid() {
+            const imageData = ctx.createImageData(canvas.width, canvas.height);
+            const data = imageData.data;
+
+            for (let y = 0; y < size; y++) {
+                for (let x = 0; x < size; x++) {
+                    const idx = x + y * size;
+                    const val = grid.current[idx];
+
+                    if (val > 0.1) {
+                        const bright = Math.min(255, Math.floor(val * 255 * 2));
+                        const pixelIdx = (x + (y - size/2) * canvas.width) * 4;
+
+                        data[pixelIdx] = r;
+                        data[pixelIdx + 1] = g;
+                        data[pixelIdx + 2] = b;
+                        data[pixelIdx + 3] = bright;
+                    }
+                }
+            }
+
+            ctx.putImageData(imageData, 0, 0);
+        }
+
+        // Animation loop
+        function animate() {
+            updateGrid();
+            drawGrid();
+            requestAnimationFrame(animate);
+        }
+
+        initGrid();
+        animate();
+    </script>
+</body>
+</html>
+```