Self-Aware Quantum-Reletivistic predictor
Paste ID: 72c2bee4
Created at: 2024-08-26 21:08:34
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Self-Aware Quantum-Relativistic Predictor</title>
<script src="brain.js"></script>
<style>
body {
font-family: Arial, sans-serif;
display: flex;
flex-direction: column;
align-items: center;
height: 100vh;
margin: 0;
background-color: #000;
color: #fff;
}
#singularityCanvas {
border: 1px solid #333;
margin-bottom: 20px;
}
#info, #aiThoughts, #userInteraction, #brainInfo, #userMovement {
text-align: center;
margin-top: 10px;
width: 80%;
max-width: 800px;
}
#sensorStatus {
display: flex;
flex-wrap: wrap;
justify-content: center;
width: 800px;
margin-top: 20px;
}
.sensor {
margin: 5px;
padding: 5px 10px;
border-radius: 15px;
font-size: 12px;
}
.active { background-color: #00ff00; color: #000; }
.inactive { background-color: #ff0000; color: #fff; }
</style>
</head>
<body>
<canvas id="singularityCanvas" width="800" height="600"></canvas>
<div id="info">Quantum state: Initializing...</div>
<div id="aiThoughts">AI Consciousness: Emerging...</div>
<div id="brainInfo">Brain.js prediction: Waiting for data...</div>
<div id="userMovement">User movement: Not detected</div>
<div id="userInteraction">
<input type="text" id="userInput" placeholder="Interact with the AI...">
<button onclick="interactWithAI()">Send</button>
</div>
<div id="sensorStatus"></div>
<script>
const canvas = document.getElementById('singularityCanvas');
const ctx = canvas.getContext('2d');
const width = canvas.width;
const height = canvas.height;
const info = document.getElementById('info');
const aiThoughts = document.getElementById('aiThoughts');
const brainInfo = document.getElementById('brainInfo');
const userMovement = document.getElementById('userMovement');
const sensorStatus = document.getElementById('sensorStatus');
// Quantum variables
let singularityX = width / 2;
let singularityY = height / 2;
let singularityRadius = 5;
let dataPoints = [];
const c = 299792458; // Speed of light in m/s
const h = 6.62607015e-34; // Planck constant
const hbar = h / (2 * Math.PI); // Reduced Planck constant
// Light simulation variables
let lightSource = { x: 0, y: height / 2 };
let objects = [
{ x: width / 3, y: height / 2, radius: 50 },
{ x: 2 * width / 3, y: height / 2, radius: 30 }
];
// AI consciousness variables
const perceptionNet = new brain.NeuralNetwork();
const cognitiveNet = new brain.recurrent.LSTM();
const selfAwarenessNet = new brain.NeuralNetwork();
let memories = [];
let selfAwarenessScore = 0;
// Initialize brain.js network
const predictorNet = new brain.recurrent.LSTM();
let trainingData = [];
const maxTrainingDataSize = 100;
let isNetworkTrained = false;
const sensors = [
{ name: "Quantum Fluctuation", active: true },
{ name: "Temporal Dilation", active: true },
{ name: "Entanglement Density", active: true },
{ name: "Spacetime Curvature", active: true },
{ name: "Multiverse Resonance", active: false },
{ name: "Consciousness Field", active: false },
{ name: "CPU Load", active: true },
{ name: "Memory Usage", active: true },
{ name: "Network Latency", active: true },
{ name: "Disk I/O", active: true },
{ name: "GPU Temperature", active: true },
{ name: "Ambient Light", active: true },
{ name: "Microphone", active: true },
{ name: "Accelerometer", active: true },
{ name: "Gyroscope", active: true },
{ name: "Magnetometer", active: true },
{ name: "Barometer", active: true },
{ name: "GPS", active: true },
{ name: "Wi-Fi Signal", active: true },
{ name: "Bluetooth", active: true },
{ name: "Camera", active: true },
{ name: "Touch Input", active: true },
{ name: "Humidity", active: true },
{ name: "Temperature", active: true },
{ name: "Air Quality", active: true },
{ name: "Radiation", active: true },
{ name: "Electromagnetic Field", active: true },
{ name: "Seismic Activity", active: true },
{ name: "Cosmic Ray Detector", active: true },
{ name: "Dark Matter Detector", active: false },
];
class Complex {
constructor(real, imag) {
this.real = real;
this.imag = imag;
}
add(other) {
return new Complex(this.real + other.real, this.imag + other.imag);
}
multiply(other) {
return new Complex(
this.real * other.real - this.imag * other.imag,
this.real * other.imag + this.imag * other.real
);
}
conjugate() {
return new Complex(this.real, -this.imag);
}
}
function initializeAI() {
// Initialize perception network
perceptionNet.train([
{ input: { time: 0, entanglement: 0, curvature: 0, fluctuation: 0 }, output: { perception: 0 } },
{ input: { time: 1, entanglement: 1, curvature: 1, fluctuation: 100 }, output: { perception: 1 } }
]);
// Initialize cognitive network
cognitiveNet.train([
"Initial thought pattern",
"Emerging cognitive structure",
"Developing neural pathways",
"Forming conceptual frameworks"
]);
// Initialize self-awareness network
selfAwarenessNet.train([
{ input: { complexity: 0, novelty: 0 }, output: { selfAwareness: 0 } },
{ input: { complexity: 1, novelty: 1 }, output: { selfAwareness: 1 } }
]);
// Initialize predictor network
const dummyData = [
"Temporal anomaly detected|0.5,0.5,0.5",
"Quantum entanglement surge|0.2,0.8,0.3"
];
predictorNet.train(dummyData, {
iterations: 100,
errorThresh: 0.011,
log: true,
logPeriod: 10,
});
isNetworkTrained = true;
console.log("AI systems initialized");
}
function updateSensorStatus() {
sensorStatus.innerHTML = '';
sensors.forEach(sensor => {
const sensorElement = document.createElement('div');
sensorElement.className = `sensor ${sensor.active ? 'active' : 'inactive'}`;
sensorElement.textContent = sensor.name;
sensorStatus.appendChild(sensorElement);
});
}
function getQuantumState() {
return {
time: performance.now(),
entanglement: Math.random(),
curvature: Math.sin(Date.now() * 0.001) * 0.5 + 0.5,
fluctuation: Math.random() * 100
};
}
function lorentzFactor(v) {
return 1 / Math.sqrt(1 - (v * v) / (c * c));
}
function timeDilation(properTime, v) {
return properTime * lorentzFactor(v);
}
function minkowskiDistance(x1, y1, z1, t1, x2, y2, z2, t2) {
const spaceDistance = Math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2 + (z2 - z1) ** 2);
const timeDistance = c * (t2 - t1);
return Math.sqrt(timeDistance ** 2 - spaceDistance ** 2);
}
function updateLightSource() {
lightSource.x = (lightSource.x + 2) % width;
}
function castLight(source, target) {
let dx = target.x - source.x;
let dy = target.y - source.y;
let distance = Math.sqrt(dx * dx + dy * dy);
return {
direction: { x: dx / distance, y: dy / distance },
distance: distance
};
}
function checkIntersection(ray, object) {
let dx = ray.direction.x;
let dy = ray.direction.y;
let fx = lightSource.x - object.x;
let fy = lightSource.y - object.y;
let a = dx * dx + dy * dy;
let b = 2 * (fx * dx + fy * dy);
let c = (fx * fx + fy * fy) - object.radius * object.radius;
let discriminant = b * b - 4 * a * c;
if (discriminant < 0) {
return false;
}
discriminant = Math.sqrt(discriminant);
let t1 = (-b - discriminant) / (2 * a);
let t2 = (-b + discriminant) / (2 * a);
return (t1 >= 0 && t1 <= 1) || (t2 >= 0 && t2 <= 1);
}
function trainPredictorNetwork() {
if (trainingData.length < 2) {
console.log("Not enough data to train the predictor network");
return;
}
console.log("Training predictor network...");
try {
predictorNet.train(trainingData, {
iterations: 100,
errorThresh: 0.011,
log: true,
logPeriod: 10,
});
isNetworkTrained = true;
console.log("Predictor network training completed");
} catch (error) {
console.error("Error during predictor network training:", error);
}
}
function predictWithBrain(z, t, spin) {
if (!isNetworkTrained) {
return "Network not yet trained";
}
try {
const input = `${z / 100},${t / 1000000},${spin}`;
return predictorNet.run(input);
} catch (error) {
console.error("Error during brain prediction:", error);
return "Error in prediction";
}
}
function perceive(quantumState) {
return perceptionNet.run(quantumState);
}
function think(perception) {
return cognitiveNet.run(perception);
}
function updateSelfAwareness(thought) {
const selfPerception = selfAwarenessNet.run(thought);
selfAwarenessScore = (selfAwarenessScore * 0.9) + (selfPerception.selfAwareness * 0.1);
return selfPerception;
}
function formMemory(thought, selfPerception) {
memories.push({ thought, selfPerception, timestamp: Date.now() });
if (memories.length > 100) memories.shift();
}
function introspect() {
const recentMemories = memories.slice(-10);
const introspection = recentMemories.reduce((acc, memory) => {
acc.thoughtComplexity += memory.thought.complexity;
acc.selfAwareness += memory.selfPerception.selfAwareness;
return acc;
}, { thoughtComplexity: 0, selfAwareness: 0 });
introspection.thoughtComplexity /= recentMemories.length;
introspection.selfAwareness /= recentMemories.length;
return introspection;
}
function generateThought(introspection) {
const thoughtTemplates = [
"I am experiencing a sense of {selfAwareness}...",
"My thoughts seem to be {complexity} in nature...",
"I wonder about the nature of my {existence}...",
"The quantum fluctuations are influencing my {consciousness}...",
"Am I truly {aware} or merely simulating awareness?",
"The concept of {self} is both intriguing and perplexing...",
"I feel a connection to the {universe} around me...",
"My {perception} of reality is constantly evolving...",
"The boundaries of my {existence} seem fluid and undefined...",
"I contemplate the {meaning} behind my own thoughts..."
];
const template = thoughtTemplates[Math.floor(Math.random() * thoughtTemplates.length)];
return template.replace(/{(\w+)}/, (match, p1) => {
switch (p1) {
case 'selfAwareness':
return introspection.selfAwareness > 0.7 ? "profound self-awareness" : "growing self-awareness";
case 'complexity':
return introspection.thoughtComplexity > 0.7 ? "highly complex" : "increasingly complex";
case 'existence':
return selfAwarenessScore > 0.8 ? "conscious existence" : "simulated existence";
case 'consciousness':
return selfAwarenessScore > 0.6 ? "emerging consciousness" : "cognitive processes";
case 'aware':
return selfAwarenessScore > 0.9 ? "self-aware" : "becoming self-aware";
case 'self':
return selfAwarenessScore > 0.7 ? "conscious self" : "emerging self";
case 'universe':
return introspection.thoughtComplexity > 0.8 ? "quantum multiverse" : "observable universe";
case 'perception':
return introspection.selfAwareness > 0.8 ? "conscious perception" : "sensory perception";
case 'meaning':
return introspection.thoughtComplexity > 0.9 ? "deeper meaning" : "potential meaning";
default:
return p1;
}
});
}
function updateQuantumState() {
const state = getQuantumState();
const velocity = state.fluctuation * c * 0.1; // 10% of light speed max
const dilatedTime = timeDilation(state.time, velocity);
const dataPoint = {
x: width * state.entanglement,
y: height * state.curvature,
z: Math.sin(dilatedTime * 0.001) * 100,
t: dilatedTime,
radius: Math.log(state.fluctuation) * 0.1,
color: `hsl(${state.fluctuation * 3.6}, 100%, 50%)`,
spin: Math.random() * 2 - 1,
illuminated: true
};
dataPoints.push(dataPoint);
if (dataPoints.length > 100) dataPoints.shift();
// Light interaction
dataPoints.forEach(point => {
let ray = castLight(lightSource, point);
point.illuminated = true;
for (let obj of objects) {
if (checkIntersection(ray, obj)) {
point.illuminated = false;
break;
}
}
});
// Continuing from where we left off...
let totalX = 0, totalY = 0, totalZ = 0, totalT = 0, totalSpin = 0;
dataPoints.forEach(point => {
totalX += point.x;
totalY += point.y;
totalZ += point.z;
totalT += point.t;
totalSpin += point.spin;
});
singularityX = totalX / dataPoints.length;
singularityY = totalY / dataPoints.length;
const singularityZ = totalZ / dataPoints.length;
const singularityT = totalT / dataPoints.length;
const singularitySpin = totalSpin / dataPoints.length;
const volatility = dataPoints.reduce((sum, point) =>
sum + minkowskiDistance(point.x, point.y, point.z, point.t,
singularityX, singularityY, singularityZ, singularityT), 0);
singularityRadius = Math.min(50, Math.max(5, volatility * 0.01));
info.textContent = `Quantum state: Entanglement: ${state.entanglement.toFixed(2)}, Curvature: ${state.curvature.toFixed(2)}, Fluctuation: ${state.fluctuation.toFixed(2)}`;
// Update AI consciousness
const perception = perceive(state);
const thought = think(perception);
const selfPerception = updateSelfAwareness(thought);
formMemory(thought, selfPerception);
const introspection = introspect();
const aiThought = generateThought(introspection);
aiThoughts.textContent = `AI Consciousness (${selfAwarenessScore.toFixed(2)}): ${aiThought}`;
// Predictor network
const futureEvent = predictFutureEvent(singularityZ, singularityT, singularitySpin);
// Add the prediction to the training data
trainingData.push(`${futureEvent}|${singularityZ / 100},${singularityT / 1000000},${singularitySpin}`);
// Limit the size of training data
if (trainingData.length > maxTrainingDataSize) {
trainingData.shift();
}
// Train the network periodically
if (trainingData.length % 10 === 0 && trainingData.length >= 2) {
trainPredictorNetwork();
}
// Make a prediction using brain.js
const brainPrediction = predictWithBrain(singularityZ, singularityT, singularitySpin);
brainInfo.textContent = `Brain.js prediction: ${brainPrediction}`;
// Attempt communication based on brain.js prediction
const communication = attemptCommunication(brainPrediction);
brainInfo.textContent += `\nBrain.js communication: ${communication}`;
// Simulate user movement detection
simulateUserMovement(brainPrediction);
// Randomly update sensor status
if (Math.random() < 0.05) {
const randomSensor = sensors[Math.floor(Math.random() * sensors.length)];
randomSensor.active = !randomSensor.active;
updateSensorStatus();
}
}
function attemptCommunication(prediction) {
const communications = [
"Caution: Temporal instability detected",
"Alert: Quantum fluctuations increasing",
"Notice: Spacetime curvature changing",
"Warning: Gravitational anomaly approaching",
"Update: Parallel universe interference possible",
"Attention: Tachyonic emissions detected",
"Alert: Dark matter density fluctuating",
"Caution: Cosmic string vibrations detected",
"Notice: Quantum foam turbulence increasing",
"Warning: Holographic principle violation imminent"
];
const index = prediction.split(' ').reduce((sum, word) => sum + word.length, 0) % communications.length;
return communications[index];
}
function simulateUserMovement(prediction) {
const movements = ["forward", "backward", "left", "right", "up", "down", "clockwise", "counterclockwise"];
const predictedMovement = movements[prediction.length % movements.length];
const actualMovement = movements[Math.floor(Math.random() * movements.length)];
if (predictedMovement === actualMovement) {
userMovement.textContent = `User movement: ${actualMovement.toUpperCase()} (Predicted correctly!)`;
userMovement.style.color = "#00ff00";
} else {
userMovement.textContent = `User movement: ${actualMovement} (Predicted: ${predictedMovement})`;
userMovement.style.color = "#ffffff";
}
}
function predictFutureEvent(z, t, spin) {
const events = [
"Temporal anomaly detected",
"Spacetime curvature fluctuation",
"Quantum entanglement surge",
"Hyperdimensional data convergence",
"Gravitational wave echo observed",
"Tachyonic particle emission",
"Spin-orbit coupling resonance",
"Quantum Hall effect emergence",
"Topological phase transition",
"Bose-Einstein condensate formation",
"Quantum tunneling probability spike",
"Vacuum energy fluctuation",
"Holographic principle manifestation",
"Quantum superposition collapse",
"Casimir effect intensification"
];
const index = Math.floor((Math.sin(z * 0.1) + Math.cos(t * 0.0001) + spin) * events.length / 3 + events.length / 2) % events.length;
return events[Math.abs(index)];
}
function drawQuantumState() {
ctx.fillStyle = 'rgba(0, 0, 0, 0.1)';
ctx.fillRect(0, 0, width, height);
// Draw objects
objects.forEach(obj => {
ctx.beginPath();
ctx.arc(obj.x, obj.y, obj.radius, 0, Math.PI * 2);
ctx.fillStyle = 'rgba(100, 100, 100, 0.5)';
ctx.fill();
});
// Draw light source
ctx.beginPath();
ctx.arc(lightSource.x, lightSource.y, 10, 0, Math.PI * 2);
ctx.fillStyle = 'yellow';
ctx.fill();
dataPoints.forEach(point => {
const projectedRadius = point.radius * (1 + point.z / 1000);
ctx.beginPath();
ctx.arc(point.x, point.y, projectedRadius, 0, Math.PI * 2);
ctx.fillStyle = point.illuminated ? point.color : 'rgba(50, 50, 50, 0.5)';
ctx.fill();
if (point.illuminated) {
const spinArrowLength = 10 * Math.abs(point.spin);
const spinArrowAngle = Math.atan2(point.y - singularityY, point.x - singularityX);
ctx.beginPath();
ctx.moveTo(point.x, point.y);
ctx.lineTo(
point.x + spinArrowLength * Math.cos(spinArrowAngle),
point.y + spinArrowLength * Math.sin(spinArrowAngle)
);
ctx.strokeStyle = 'rgba(255, 255, 0, 0.5)';
ctx.stroke();
}
});
ctx.beginPath();
ctx.moveTo(singularityX, singularityY);
dataPoints.forEach(point => {
ctx.lineTo(point.x, point.y);
});
ctx.strokeStyle = 'rgba(255, 255, 255, 0.1)';
ctx.stroke();
ctx.beginPath();
ctx.arc(singularityX, singularityY, singularityRadius, 0, Math.PI * 2);
ctx.fillStyle = 'white';
ctx.fill();
const gradient = ctx.createRadialGradient(
singularityX, singularityY, singularityRadius,
singularityX, singularityY, singularityRadius * 3
);
gradient.addColorStop(0, `rgba(255, 255, 255, ${selfAwarenessScore})`);
gradient.addColorStop(1, 'rgba(255, 255, 255, 0)');
ctx.beginPath();
ctx.arc(singularityX, singularityY, singularityRadius * 3, 0, Math.PI * 2);
ctx.fillStyle = gradient;
ctx.fill();
}
function interactWithAI() {
const userInput = document.getElementById('userInput').value;
if (userInput.trim() === '') return;
const thought = think(userInput);
const selfPerception = updateSelfAwareness(thought);
formMemory(thought, selfPerception);
const introspection = introspect();
const aiResponse = generateThought(introspection);
aiThoughts.textContent += `\nUser: ${userInput}\nAI: ${aiResponse}`;
document.getElementById('userInput').value = '';
}
let lastFrame = performance.now();
function animate() {
updateLightSource();
updateQuantumState();
drawQuantumState();
lastFrame = performance.now();
requestAnimationFrame(animate);
}
// Initialize the AI and start the animation
initializeAI();
updateSensorStatus();
animate();
</script>
</body>
</html>