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Minds & Machines: The Story of AI

An immersive 75-article deep-dive into the full history of Artificial Intelligence — from the ancient myths of mechanical life to the large language models reshaping the world today. Written for a general audience with no technical background, each article is approximately 8,000 words of narrative, immersive, story-driven history.

75 Total Articles

600,000 Approx Words

3 per week (one per track) Release Cadence

3 Tracks / Eras

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Actively Releasing

46 of 75 chapters published 61%

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Articles

Narrative era overviews & thematic deep dives

16/25 published

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Profiles

Biographical portraits of key figures

15/25 published

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Events

Deep dives into landmark moments

15/25 published

MILESTONE TIMELINE

Key Moments in Minds & Machines

Click any node to explore the chapter covering that era.

📰 Ancient – 1850

The Ancient Dream of Artificial Life

From bronze giants to clockwork wonders — before computers, the dream of artificial life lived in the human imagination for thousands of years.

📰 1973 – 1980

The First AI Winter: When the Dream Crashed

Funding collapsed, groups dissolved, careers redirected. The full narrative of AI's first great crisis, told through the people who watched the dream crash.

A10

📰 1975 – 1990

Expert Systems: AI Learns to Be a Specialist

How expert systems made AI commercially viable — from DENDRAL and MYCIN to XCON, and what the approach revealed about the nature of expertise itself.

A11

📰 1981 – 1992

Japan's Billion-Dollar Bet on AI

Japan's Fifth Generation Computer Project alarmed the world, spent a decade at ICOT, and quietly failed. The most audacious national AI programme in history.

A12

📰 1987 – 1997

The Second AI Winter: Lightning Strikes Twice

AI's second great contraction — the fall of expert systems, LISP machines, and DARPA funding, and the neural network underground that kept the faith.

A13

📰 1987 – 2006

The Godfathers Go Underground

Hinton, LeCun, and Bengio during the years neural networks were marginalised — the decades of intellectual courage that kept the research programme alive.

A14

📰 2012 – 2023

The Rise of the Thinking Machine: Deep Learning Takes Over

The deep learning revolution from AlexNet to the Transformer — a cascade of breakthroughs where each advance enabled the next. The fastest AI revolution ever.

A15

📰 2017 – 2025

The Attention Economy: How the Transformer Changed Everything

Why self-attention was the right idea, how it enabled pre-training, and why scaling produced unexpected capabilities. The architecture behind every LLM.

A16

📰 1600 – 1800

Clockwork Wonders: The Automata Era

European craftsmen built mechanical marvels that walked, wrote and played music. The automata era and the question it forced the world to ask.

📰 1600 – 1950

The Philosophers Who Asked 'Can Machines Think?'

Leibniz dreamed of a calculus of thought, Pascal built the first calculator, Descartes asked if mechanism had limits — questions we still wrestle with.

📰 1800 – 1850

Ada Lovelace & The First Algorithm

She wrote the world's first computer program in 1843. A deep dive into Ada Lovelace's Notes on the Analytical Engine and the Bernoulli number algorithm.

📰 1930 – 1954

Alan Turing: The Man Who Imagined Everything

From the Turing Machine to Bletchley Park to morphogenesis — how one mind laid the conceptual foundations of an entire civilisation's technology.

📰 1956

The Summer That Named AI

The 1956 Dartmouth Conference — who was in the room, what they argued about, what they got wrong, and how one summer gave AI its name and its overconfidence.

📰 1950 – 1997

The First AI Programs: Teaching Machines to Play Games

When Samuel's checkers program beat its creator and every demo felt like proof that general machine intelligence was just around the corner.

📰 1966 – 1980

ELIZA and the Illusion of Understanding

What ELIZA revealed about human psychology, language, and the gap between the appearance of understanding and its reality — questions urgent in the age of LLMs.

📰 1960 – 1974

The Optimists: When AI Was Going to Solve Everything

The AI optimists of the 1960s believed machine intelligence was years away. They were right about the destination, spectacularly wrong about the distance.

⚡ 1956

The Dartmouth Conference, 1956: The Summer AI Was Born

In the summer of 1956, ten men gathered at Dartmouth and gave a name to the dream of thinking machines. The week Artificial Intelligence was born.

⚡ 1974-1986

Backpropagation Goes Mainstream, 1986: The Algorithm That Refused to Die

Backpropagation was discovered three times before anyone noticed. The story of the algorithm at the heart of modern AI and the 1986 paper that changed AI.

E10

⚡ 1996-1997

Deep Blue vs. Kasparov, 1997: The Match the World Watched

In 1997, a machine defeated the world chess champion. The match that divided history, the controversy, and what it meant for human exceptionalism and AI.

E11

⚡ 2006-2009

The Netflix Prize, 2006: The Moment the Crowd Beat the Experts

In 2006 Netflix offered $1M to anyone who could improve its recommendation algorithm by 10%. Three years of innovation, and a solution Netflix never deployed.

E12

⚡ 2006-2012

The ImageNet Project, 2009: Teaching Machines to See

How Fei-Fei Li built the most important dataset in AI history and the benchmark that made the deep learning revolution possible. The story of ImageNet.

E13

⚡ 2012

AlexNet, 2012: The Breakthrough Nobody Saw Coming

In 2012, a deep network trained on two gaming GPUs shocked the computer vision world with a 10-point improvement. The starting gun of the modern AI era.

E14

⚡ 2017

The Transformer, 2017: Attention Is All You Need

In 2017, a Google Brain team asked 'what if attention is all you need?' and built an architecture that became the foundation for every large language model.

E15

⚡ 1950

The Turing Test, 1950: The Question That Still Has No Answer

In 1950, a mathematician asked 'can machines think?' and proposed a test. The test sparked a debate. Seventy-five years later, the debate has not ended.

⚡ 1955-1956

The Logic Theorist, 1956: The First AI Program

In 1955, a program proved a mathematical theorem for the first time. Its creators believed they had cracked intelligence. The story of the first AI program.

⚡ 1964-1966

ELIZA, 1966: The Chatbot That Made People Cry

In 1966 a pattern-matching program became the world's first chatbot. People told it secrets and begged not to have it turned off. Its creator was horrified.

⚡ 1973

The Lighthill Report, 1973: The Document That Killed AI

In 1973, mathematician James Lighthill wrote a review so devastating it caused governments to pull AI funding, sending the field into its first winter.

⚡ 1974-1980

The First AI Winter, 1974–1980: The Great Disillusionment

The funding cuts, disbanded groups, and stubborn few who kept working through AI's first collapse — and how it shaped everything that came after.

⚡ 1980-1987

The Rise of Expert Systems, 1980: AI Gets a Job

How MYCIN, XCON, and corporate AI systems made real money by going narrow — AI's first commercial era and the seeds of its second collapse.

⚡ 1982-1992

Japan's Fifth Generation Project, 1982: The Billion-Dollar Gamble

Japan's audacious ten-year programme to build AI computers triggered global panic — then quietly failed. A tale of ambition, geopolitics, and misadventure.

⚡ 1987-1993

The Second AI Winter, 1987–1993: Lightning Strikes Twice

The expert systems boom collapsed, LISP machines imploded, and AI contracted for the second time — while neural network pioneers kept the flame alive.

🧠 1815-1852

Ada Lovelace: The First Programmer the World Forgot

She wrote the world's first computer program in 1843 for a machine that didn't exist yet. Then history forgot her for a hundred years.

🧠 1928-1971

Frank Rosenblatt: The Forgotten Father of Neural Networks

He built the Perceptron — the first learning machine. Minsky called it a dead end. History proved Rosenblatt right. The most underrated figure in AI history.

P10

🧠 1947-

Geoffrey Hinton: The Stubborn Godfather

He kept working on neural networks when everyone said it was dead. He built deep learning. Then he quit Google to warn the world he feared what he had built.

P11

🧠 1960-

Yann LeCun: The Rebel with a Vision

He invented convolutional neural networks and became Meta's AI architect. The most argumentative Godfather of Deep Learning — and why he's usually right.

P12

🧠 1964-

Yoshua Bengio: The Conscience of AI

Third Godfather of Deep Learning — foundational work on attention and generative models, and his evolution into AI's most prominent voice for safety and ethics.

P13

🧠 1963-

Jürgen Schmidhuber: The Angry Genius

He invented LSTM — the architecture behind speech recognition and translation. He argues he deserves more credit. Why he might be right, and why it's hard.

P14

🧠 1975-

Fei-Fei Li: The Woman Who Taught Machines to See

She assembled fourteen million labelled images when everyone said no, built ImageNet, and enabled the deep learning revolution. The portrait of its creator.

P15

🧠 1912-1954

Alan Turing: The Man Who Invented the Future

He broke the Nazi's unbreakable code, designed the modern computer, asked whether machines could think — then was destroyed by the country he saved.

🧠 1903-1957

John von Neumann: The Man Who Designed the Modern Computer

He spoke eight languages, memorized entire books, and designed the architecture every computer still uses today. The astonishing life of von Neumann.

🧠 1894-1964

Norbert Wiener: The Father of Cybernetics

He invented cybernetics and warned about automation destroying human labour — in 1950. The forgotten genius who saw everything coming and nobody listened.

🧠 1916-2001

Claude Shannon: The Man Who Invented Information

In 1948 a Bell Labs engineer published a paper that gave the entire digital age its mathematical foundation. He then built juggling robots and rode a unicycle.

🧠 1927-2011

John McCarthy: The Man Who Named AI

He organised Dartmouth, coined 'artificial intelligence', invented LISP, and founded Stanford AI Lab. The complicated legacy of the man who gave AI its name.

🧠 1927-2016

Marvin Minsky: The Brilliant Optimist Who Got It Wrong

His towering influence on early AI, his overconfident predictions, the devastating Perceptrons critique, and the Society of Mind. AI's most complex figure.

🧠 1916-2001 / 1927-1992

Allen Newell & Herbert Simon: The Dynamic Duo of Early AI

The Logic Theorist, the General Problem Solver, the cognitive revolution, and a Nobel Prize. The most consequential scientific partnership in AI history.

🧠 1923-2008

Joseph Weizenbaum: The Man Who Built ELIZA and Regretted It

He built the first chatbot to show how shallow conversation was — and watched in horror as people fell in love with it. The prophet of AI ethics nobody heard.