WATCH INTELLIGENCE UNFOLD

Artificial Intelligence
you can see.

Every concept — from Alan Turing's test to a Transformer's attention head —
stepped through one frame at a time. Press play and watch the idea unfold.

Explore modules
KNN · LIVE DEMO

↑ Click to place data points. Decision boundary updates in real time.

Interactive Timeline
·
Live Decision Boundaries
·
Neural Network Builder
·
Attention Visualizer

HOW IT WORKS

AI stops being a black box.

AI Visualised teaches each concept the same way — by animating it. Not text-book definitions. Live, interactive visualizers that let you poke, drag, and configure the math.

01

Pick a module

Start from History, jump to Neural Networks, or go straight to Modern AI. Learn at your own order.

02

Interact with the visual

Every module has a live sandbox. Click, drag sliders, add layers, type text — the model reacts.

03

Understand the why

See the math in motion. K selects neighbors. Signals pulse through neurons. Attention weights glow.

PICK A MODULE

Four chapters.
One complete picture.

AI Visualised covers the full arc — from its philosophical birth to the transformer architecture powering today's LLMs.

History of AI

Mathematical roots to the GenAI era

FOUNDATION

Walk an interactive timeline spanning 8 landmark epochs — from Turing's 1950 paper to ChatGPT. Each milestone reveals who made it happen, the Fun Fact you won't find in textbooks, and the long-term ripple that shaped modern AI. Includes the AI Winters, the Expert Systems boom, the Deep Learning revolution, and the Transformer breakthrough.

Turing Test Dartmouth 1956 AI Winters Expert Systems AlexNet 2012 +3 more

Machine Learning

K-Nearest Neighbors — live decision boundary

INTERACTIVE

Place pink and blue training points on a 2D canvas. Tune the K slider from 1 to 15. Watch the decision boundary repaint in real time as the algorithm recalculates the majority vote for every pixel. Understand why small K overfits, large K over-smooths, and how Euclidean distance drives it all.

KNN Classification Decision Boundary Euclidean Distance Supervised Learning Overfitting Bias-Variance Tradeoff

Neural Networks

Build layers. Fire signals. Watch the math move.

BUILDER

Assemble a deep learning network from scratch — add hidden layers, resize neuron counts from 2 to 6 per layer, and switch between ReLU, Sigmoid, and Tanh activation functions. Hit "Run Forward Pass" and watch weighted signals cascade layer by layer, color-coded by activation strength. Understand backpropagation, vanishing gradients, and why ReLU dominates modern AI.

ReLU / Sigmoid / Tanh Forward Pass Weight Matrix Backpropagation Vanishing Gradient Layer Depth

Modern AI & GenAI

Transformers, self-attention & the LLM revolution

ADVANCED

Type any sentence and watch how each word attends to every other word through a glowing attention heatmap. Switch between 3 presets (river bank vs financial bank) to see how the same word "bank" builds completely different context vectors. Learn Q/K/V projections, Multi-Head Attention, positional encoding, and the scaling laws that power GPT-4 and Gemini.

Self-Attention Query / Key / Value Transformer Architecture Multi-Head Attention Positional Encoding Scaling Laws

START NOW · FREE

Prep like you actually
understand it.

No login. No paywall. Just open the playground and start clicking. The best way to understand AI is to interact with it.