The Story of AI

From a question in 1950 to the tools you use every day — told in four chapters.

Today

AI Is Everywhere

It's in your phone, your inbox, your search results.

💬

ChatGPT

Brought AI into everyday conversation

👨‍💻

Copilot

Changed how developers write code

🎨

Image Gen

Turned text prompts into artwork

🎙️

Voice AI

Understands and responds in real time


2012

The Breakthrough

AI stopped following instructions and started learning on its own.

📋

Before

Humans wrote rules. AI followed them.

🧠

After

AI saw examples. It figured out the rules itself.

🖼️

Vision

Recognized images better than humans

🗣️

Speech

Understood spoken language accurately

Scale

More data + faster hardware = rapid progress


1970s – 2000s

The Rule-Following Era

AI could only do what engineers told it to do — nothing more.

🌳

Decision Trees

If this, then that. Rigid logic paths.

🏥

Expert Systems

Worked in narrow domains like medicine

🚧

The Limit

Couldn't handle the real world's messiness


Where it started

Alan Turing Asked a Question

In 1950, Turing published Computing Machinery and Intelligence and proposed something radical: what if machines could think?

"Can machines think?"

That one question launched the entire field.


One question → decades of rules → a breakthrough in learning → AI everywhere.

70 years of progress, one scroll.

About This Project

Objective Trace the evolution of artificial intelligence from its origins to the present day, making 70+ years of history accessible and engaging.
Process Researched key milestones across AI's history, organized them into four narrative chapters, and designed a scroll-driven visual experience built from scratch.
Tools HTML, CSS, AI-assisted research (ChatGPT), and generative image tools.
Value Demonstrates the ability to synthesize complex technical history into a clear, narrative-driven format — a core skill for communicating AI concepts to non-technical stakeholders.
Relevance Understanding where AI came from is essential for making informed decisions about where it's going — from model selection to infrastructure design.