The Archive
Every series, every track, every chapter — organized, indexed, and ready for exploration. Browse by series to follow a structured arc, or scroll the full timeline to discover across boundaries.
Minds & Machines
The Story of AI
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Full Publication Timeline
All published chapters sorted by date, newest first.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.