---
title: "Minds & Machines: The Story of AI — isHistory"
description: A 75-article deep-dive into the full history of Artificial Intelligence — from ancient myth to large language models.
url: "https://ishistory.org/series/minds-and-machines"
type: static
generatedAt: "2026-06-01T11:07:55.703Z"
---

0/75 Published  Series Active
# Minds & Machines: The Story of AI

Minds & Machines is a 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.
0Published3Upcoming72Planned0KWords Published📰Articles0/25🧠Profiles0/25⚡Events0/25· 3 per week (one per track)
## Series Status
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## Timeline

### THE DREAM
A1PublishedThe Ancient Dream of Artificial Life
From the bronze giant Talos to the clay Golem — how ancient civilisations dreamed of artificial life thousands of years before the computer existed. Greek myths, Islamic automata, medieval golems, and the deep human obsession with creating life.
Hephaestus (myth)Pygmalion (myth)Rabbi LoewAl-Jazari+4 moreA2PublishedClockwork Wonders: The Automata Era
Before electricity, before Ada Lovelace — craftsmen across Europe built mechanical marvels that walked, wrote, played music, and digested food. The extraordinary story of the automata era and the question it forced the world to ask.
VaucansonJaquet-Droz familyWolfgang von KempelenDescartes+2 moreA3PublishedThe Philosophers Who Asked "Can Machines Think?"
Before the engineers came the philosophers. Leibniz dreamed of a calculus of thought. Pascal built the first calculator. Descartes drew the line between mind and machine. The thinkers who laid the conceptual groundwork — and the questions they left unanswered.
DescartesLeibnizPascalHobbes+6 moreA4NextAda Lovelace & The First Algorithm
We met Ada Lovelace in her profile. Now we go deeper — into the actual mathematics of the Notes on the Analytical Engine, what the Bernoulli number algorithm actually did, and why the ideas in those footnotes were more radical than even most computer scientists realise.
Ada LovelaceCharles BabbageLuigi MenabreaAugustus De MorganA5PlannedAlan Turing: The Man Who Imagined Everything
The full narrative arc of Turing's intellectual journey — from the Turing Machine to Bletchley Park to the 1950 paper to morphogenesis. A thematic overview of how one mind laid the foundations of an entire civilisation's technology.
Alan TuringMax NewmanClaude ShannonJohn von Neumann
### THE BIRTH
A6PlannedThe Summer That Named AI
The 1956 Dartmouth Conference — who was in the room, what they argued about, what they got right, and what they got catastrophically wrong. The week a scattered research tradition became a field with a name and a mission.
John McCarthyMarvin MinskyClaude ShannonNathaniel Rochester+2 moreA7PlannedThe First AI Programs: Teaching Machines to Play Games
Arthur Samuel's checkers program, early chess AI, and the first signs that machines could learn. The exhilarating early years when every new demonstration felt like proof that general machine intelligence was just around the corner.
Arthur SamuelClaude ShannonAlex BernsteinNewell & SimonA8PlannedELIZA and the Illusion of Understanding
Joseph Weizenbaum's 1966 chatbot fooled everyone — including people who knew it was a program. The story of ELIZA, what its reception revealed about human psychology, and why its creator became AI's most passionate critic.
Joseph WeizenbaumCarl RogersMarvin MinskyA9PlannedThe Optimists: When AI Was Going to Solve Everything
The bold 1960s predictions, the government funding, and the intoxicating early hype. What made the founders of AI so confident, why the optimism was not entirely irrational, and how the gap between promise and reality slowly opened.
MinskySimonMcCarthyFeigenbaum+1 moreA10PlannedThe First AI Winter: When the Dream Crashed
The Lighthill Report, the funding cuts, the broken promises — and why the first era of AI collapsed. The story of how the gap between ambition and achievement finally became impossible to ignore.
James LighthillMarvin MinskySeymour PapertHans Moravec
### THE COMEBACK
A11PlannedExpert Systems: AI Learns to Be a Specialist
How 1980s AI ditched general thinking and got smart by going narrow. MYCIN, XCON, and thousands of corporate AI systems made real money solving real problems — and then collapsed under their own brittleness.
Edward FeigenbaumBruce BuchananRandall DavisA12PlannedJapan's Billion-Dollar Bet on AI
The Fifth Generation Computer Project — the most audacious AI programme in history, the global panic it triggered, and the spectacular failure that nobody saw coming.
Kazuhiro FuchiEdward FeigenbaumVarious MITI officialsA13PlannedThe Second AI Winter: Lightning Strikes Twice
The Lisp machine collapse, the DARPA funding cuts, the death of expert systems — and the stubborn few who kept working on neural networks when nobody believed in them.
Geoff HintonYann LeCunYoshua BengioJurgen SchmidhuberA14PlannedThe Godfathers Go Underground
How Hinton, LeCun, and Bengio kept working on neural networks through years of rejection, funding cuts, and institutional hostility — and why their stubbornness turned out to be one of the most consequential decisions in the history of technology.
Geoffrey HintonYann LeCunYoshua BengioJurgen Schmidhuber+1 moreA15PlannedDeep Blue vs. Kasparov: The Match That Shook the World
The 1997 chess showdown that the world watched. The full story of both matches, the controversy, Kasparov's accusations — and why a computer beating the world's best chess player felt like a cultural earthquake.
Garry KasparovFeng-hsiung HsuMurray CampbellIBM team
### THE REVOLUTION
A16PlannedThe Internet Feeds the Beast
How billions of web pages, images, and user clicks became the fuel that AI had always needed but never had. The quiet data revolution that made deep learning possible.
Tim Berners-LeeLarry PageSergey BrinFei-Fei LiA17PlannedThe ImageNet Moment: 2012
The AlexNet breakthrough that most people missed — and why experts say the 2012 ImageNet competition was the most important moment in the history of modern AI.
Geoffrey HintonAlex KrizhevskyIlya SutskeverFei-Fei LiA18PlannedGoogle, Facebook & the AI Arms Race
How tech giants quietly hired every AI researcher alive and turbo-charged the field. Google Brain, Facebook AI Research, DeepMind — the industrialisation of AI research.
Jeff DeanYann LeCunDemis HassabisAndrew NgA19PlannedAlphaGo: The Game No Computer Was Supposed to Win
DeepMind's 2016 victory at Go — the ancient game that experts said would never fall to a machine. The match, the players, Move 37, and what it meant that a machine had beaten the world's best human at the most complex game ever devised.
Demis HassabisDavid SilverLee SedolFan HuiA20PlannedAlexa, Siri & The AI That Entered Your Home
How voice assistants brought AI into everyday life — the technology behind them, what they could and could not do, and why the gap between the demo and the reality revealed how far AI still had to go.
Dag KittlausTom GruberVarious Amazon and Google teams
### THE EXPLOSION
A21PlannedThe Transformer: The Paper That Runs the World
"Attention Is All You Need" — the 2017 Google paper that introduced the transformer architecture. The engine inside ChatGPT, Gemini, Claude, and every major AI system today. What it did, why it worked, and why its authors did not fully anticipate what they had built.
Ashish VaswaniJakob UszkoreitLlion JonesNoam Shazeer+1 moreA22PlannedThe GPT Era: Language Models Take Over
GPT-1 through GPT-4 — how language models evolved from interesting curiosities to genuinely eerie capabilities, and the moment researchers realised they had built something whose properties they did not fully understand.
Sam AltmanIlya SutskeverGreg BrockmanOpenAI teamA23PlannedThe ChatGPT Moment: The Day the World Noticed
November 2022. One hundred million users in sixty days. The product that divided history into before and after — what it was, how it happened, and why the world responded the way it did.
Sam AltmanGreg BrockmanIlya SutskeverVarious OpenAI teamA24PlannedThe Great AI Debate: Hopes, Fears & Open Questions
The job displacement debate. The bias problem. Existential risk. Regulation. The brilliant people on every side of every argument — and what the history of AI tells us about how seriously to take each of them.
Geoffrey HintonYann LeCunYoshua BengioNick Bostrom+3 moreA25PlannedWhat Comes Next: The Open Story of AI
Where we are, what is on the horizon, and why the most important chapters may not yet be written. A closing synthesis of everything the series has covered — and an honest account of what remains unknown.
Various contemporary researchers and thinkers
### THE PIONEERS
P1Published1815–1852Ada 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.
P2Published1912–1954Alan Turing: The Man Who Invented the Future
He broke the Nazi's unbreakable code, designed the architecture of the modern computer, asked whether machines could think — and was destroyed by the country he had saved.
P3Published1903–1957John von Neumann: The Man Who Designed the Modern Computer
He spoke eight languages, memorised entire books, designed the architecture every computer still uses today, and helped build the atomic bomb. The astonishing, troubling, irreplaceable life of von Neumann.
P4Upcoming1894–1964Norbert Wiener: The Father of Cybernetics
The forgotten genius who invented cybernetics and first warned the world about machines replacing humans — in 1950. Why nobody listened, and why they should have.
P5Planned1916–2001Claude Shannon: The Man Who Invented Information
One Bell Labs engineer created information theory and gave AI its mathematical language. His 1948 paper is the most important paper in the history of communications — and most people have never heard of him.

### THE FOUNDERS
P6Planned1927–2011John McCarthy: The Man Who Named AI
The Dartmouth organiser, the inventor of LISP, the man who gave artificial intelligence its name — and the complicated legacy of a founder who watched his vision both succeed and fail.
P7Planned1927–2016Marvin Minsky: The Brilliant Optimist Who Got It Wrong
His towering influence, his wildly overconfident predictions, and how he accidentally helped cause the first AI winter through his devastating critique of neural networks.
P8Planned1927–1992 (Newell) · 1916–2001 (Simon)Newell & Simon: The Dynamic Duo of Early AI
The Logic Theorist, the General Problem Solver, and two men who genuinely believed in 1955 that they had cracked human intelligence. The most consequential partnership in the history of AI research.
P9Planned1923–2008Joseph Weizenbaum: The Man Who Built ELIZA and Regretted It
How creating the world's first chatbot turned its creator into AI's most passionate critic. The story of a man who understood, earlier than anyone, what was dangerous about our relationship with machines.
P10Planned1928–1971Frank Rosenblatt: The Forgotten Father of Neural Networks
The Perceptron, the media frenzy, the crushing dismissal by Minsky — and a legacy that took fifty years to be vindicated. The most underrated figure in the history of AI.

### THE SURVIVORS
P11Planned1947–presentGeoffrey Hinton: The Stubborn Godfather
Decades of rejection, the backpropagation breakthrough, and the man who built the foundation of modern AI — then quit Google to warn the world it might destroy us.
P12Planned1960–presentYann LeCun: The Rebel with a Vision
Convolutional neural networks, his battles with the AI establishment, and the architect of Meta's AI empire. The most argumentative of the Godfathers — and why his arguments usually turn out to be right.
P13Planned1964–presentYoshua Bengio: The Conscience of AI
The third Godfather — his deep learning contributions, his evolution from pure researcher to AI safety advocate, and why he became the field's most prominent voice for caution and ethics.
P14Planned1963–presentJürgen Schmidhuber: The Angry Genius
The inventor of LSTMs who believes he deserves far more credit for modern AI than he receives — and the case for why he might be right.
P15Planned1976–presentAndrew Ng: The Man Who Democratised AI
Coursera, Google Brain, Baidu — and how one educator made AI accessible to millions of people who had previously been locked out of the field.

### THE BUILDERS
P16Planned1976–presentDemis Hassabis: The Game Player Who Wants to Solve Everything
Chess prodigy, neuroscience PhD, DeepMind founder — the most ambitious man in AI and the person most likely to either save or end the world as we know it.
P17Planned1985–presentSam Altman: The Salesman at the End of the World
Y Combinator, OpenAI, the boardroom coup — and the man steering the most consequential company on earth while publicly acknowledging it might be building something catastrophic.
P18Planned1985–presentIlya Sutskever: The True Believer
OpenAI co-founder, the research mind behind GPT, and the mystery of why the man who built the most powerful AI systems voted to fire — then rehire — Sam Altman.
P19Planned1976–presentFei-Fei Li: The Woman Who Fed AI Its Eyes
The ImageNet project, her immigrant story, and why one dataset changed everything about how machines see the world. The most important dataset in AI history — and the woman who spent years building it.
P20Planned1971–presentElon Musk: The Backer Who Became the Rival
His role founding OpenAI, his dramatic exit, xAI and Grok — and the most complicated, contradictory relationship with AI in the history of the field.

### THE CRITICS & VISIONARIES
P21Planned1973–presentNick Bostrom: The Philosopher Who Scared Silicon Valley
"Superintelligence," the paperclip maximiser thought experiment, and how one Oxford philosopher made tech billionaires lose sleep. The man who put existential risk on the AI agenda.
P22Planned1983–presentTimnit Gebru: The Researcher Who Wouldn't Be Silenced
Her groundbreaking work on AI bias, her firing from Google, and why she became the most important critical voice in the field. The story of what happens when you tell the truth about AI's failures.
P23Planned1962–presentStuart Russell: The Textbook Author Who Changed His Mind
The man who literally wrote the AI textbook — and why he now believes we may be building something potentially catastrophic. The most credentialed voice for AI safety in the world.
P24Planned1948–presentRay Kurzweil: The Prophet of the Singularity
His stunning prediction track record, the Singularity theory, and why some call him a visionary and others call him dangerous. The most optimistic person in AI — and the case for taking him seriously.
P25Planned2000s–presentThe Next Generation: Who's Writing the Future?
Profiling the young researchers, ethicists, and builders whose names we will all know in twenty years. The people who will shape the next chapter of this story.

### THE ORIGINS
E1PublishedSummer 1956The Dartmouth Conference, 1956: The Summer AI Was Born
Who was in the room, what they argued about, what they got right, what they got catastrophically wrong — and why giving a field a name turned out to be one of the most consequential acts in the history of technology.
E2PublishedOctober 1950The Turing Test, 1950: The Question That Still Has No Answer
The paper, the test, the nine objections Turing answered himself, ELIZA, the Chinese Room, the Loebner Prize, and why seventy-five years later the question Turing asked has still not been answered.
E3PublishedDecember 1955 – Summer 1956The Logic Theorist, 1956: The First AI Program
The night Newell and Simon's program proved mathematical theorems — and why the researchers who built it believed they had cracked human intelligence. What they got right, what they got wrong, and what it means seventy years later.
E4Upcoming1966ELIZA, 1966: The Chatbot That Made People Cry
A simple pattern-matching program accidentally became the world's most intimate conversationalist. People told it their deepest secrets, fell in love with it, and begged not to have it turned off. The story of the first chatbot — and what it revealed about human loneliness.
E5Planned1973The Lighthill Report, 1973: The Document That Killed AI
How one British mathematician's critical review caused governments worldwide to pull AI funding and sent the field into its first winter. The most consequential document in the early history of AI — and why it was not entirely wrong.

### THE CRASHES & COMEBACKS
E6Planned1974–1980The First AI Winter, 1974–1980: The Great Disillusionment
The funding collapse, the broken promises, the researchers who lost their jobs — and the underground survivors who kept the flame alive. What the first winter taught the field about the gap between ambition and reality.
E7Planned1980–1987The Rise of Expert Systems, 1980: AI Gets a Job
How MYCIN, XCON, and thousands of corporate AI systems made real money by going narrow. The comeback story — and the seeds of the next collapse.
E8Planned1982–1992Japan's Fifth Generation Project, 1982: The Billion-Dollar Gamble
The most audacious AI project in history, the global panic it triggered in the US and UK, and its quiet, spectacular failure. The story of how one country's ambition reshaped the politics of AI research.
E9Planned1987–1993The Second AI Winter, 1987–1993: Lightning Strikes Twice
The Lisp machine market collapse, DARPA funding cuts, the death of expert systems — and the second time the world gave up on AI. What survived, and why.
E10Planned1986Backpropagation Goes Mainstream, 1986: The Algorithm That Refused to Die
How Hinton, Rumelhart, and Williams revived a buried idea and planted the seed for everything that came after. The paper that made neural networks trainable — and why it took another thirty years for the world to notice.

### THE TURNING POINTS
E11Planned1996–1997Deep Blue vs. Kasparov, 1997: The Match the World Watched
The full story of both matches, the controversy, Kasparov's accusations of cheating, and what a computer beating the world's greatest chess player actually meant for AI — and for what it means to be human.
E12Planned2006–2009The Netflix Prize, 2006: The Moment the Crowd Beat the Experts
How a $1 million open competition accelerated machine learning by a decade and established the template for AI research as a collaborative, competitive, crowd-sourced enterprise.
E13Planned2006–2012The ImageNet Project, 2009: Teaching Machines to See
How Fei-Fei Li assembled 14 million labelled images — and why that dataset became the launching pad for modern AI. The most important dataset in history, and the years of painstaking work behind it.
E14Planned2012AlexNet, 2012: The Breakthrough Nobody Saw Coming
The ImageNet competition, the moment deep learning proved it was categorically different, and why AI researchers remember exactly where they were when the results came in. The starting gun of the modern AI era.
E15PlannedMarch 2016AlphaGo vs. Lee Sedol, 2016: Move 37
The full story of the match, the move that made a grandmaster stare at the board in disbelief, and why Go was the game that mattered most. The moment the world understood that something genuinely new was happening.

### THE MODERN ERA
E16Planned2011Google Brain Is Founded, 2011: The Quiet Beginning of Everything
The secret project inside Google that changed the company — and the world. How a small team of researchers, given unusual freedom and extraordinary resources, quietly built the foundation of the AI revolution.
E17Planned2017"Attention Is All You Need," 2017: The Paper That Runs the World
The Google paper that introduced the transformer architecture — the engine inside ChatGPT, Claude, Gemini, and every major AI system today. What it said, why it worked, and why its authors had no idea what they had done.
E18PlannedDecember 2015OpenAI Is Founded, 2015: A Billion Dollars to Save the World
Musk, Altman, Brockman, Sutskever in a room — what they said, what they promised, how the non-profit became a capped-profit, and how the most unusual origin story in Silicon Valley shaped the most important company in AI.
E19PlannedJune 2020GPT-3, 2020: The First Time AI Felt Different
The moment language models became genuinely eerie — the demos, the viral moments, the researchers who got nervous. When GPT-3 arrived and the AI community quietly began to understand that something had changed.
E20PlannedNovember 2023The OpenAI Board Crisis, 2023: The Coup That Shook the Industry
The firing, the chaos, the 500 employees threatening to quit, the reinstatement — and what the most dramatic weekend in AI history revealed about the fault lines inside the most important organisation in the field.

### THE RECKONING
E21PlannedNovember 30, 2022ChatGPT Launches, November 2022: The Day Everything Changed
One hundred million users in sixty days. The world's reaction. The journalists, the educators, the artists, the politicians, the researchers — and why this moment divided history into before and after.
E22PlannedDecember 2020The Timnit Gebru Firing, 2020: AI's Reckoning with Bias
The research paper, the firing, the open letter signed by thousands — and the debate about who gets to shape AI, whose harms are taken seriously, and what it means when the most powerful technology companies silence their own researchers.
E23Planned2024The EU AI Act, 2024: The World's First Major AI Law
How Europe decided to regulate AI, what the law actually says, and whether rules can keep pace with a technology that is changing faster than any legislature can respond.
E24PlannedMay 2023Geoffrey Hinton Resigns from Google, 2023: The Godfather Speaks Out
Why the man who built the foundation of modern AI quit Google to warn the world — what he said, why he said it then, and what it means when the field's most respected pioneer publicly expresses fear about what the field has built.
E25Planned2017–presentThe AI Arms Race: US vs. China
The export bans, the chip wars, Huawei, the national AI strategies — and how artificial intelligence became the defining geopolitical battleground of our era. The story of the most consequential technology race in history.

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