Interactive
Explore the story of AI
Seven decades of artificial intelligence you can move through, drag, and
open — not just read. Everything below runs in your browser, with no
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The timeline, 1950 → today Scroll down to move through the years. The spine fills as you go.
1950 Turing's “Computing Machinery and Intelligence” The question posed: can machines think?
Idea The imitation game — the “Turing test” Author Alan Turing Legacy A concrete test for machine intelligence The philosophy of AI 1956 Dartmouth Conference Artificial intelligence is named as a field
Organizer John McCarthy With Minsky, Rochester, Shannon Claim Intelligence can be precisely described Legacy AI becomes a discipline Why Dartmouth 1956 still matters 1965 DENDRAL — an early expert system Encoding a specialist’s rules in software
Where Stanford Idea Rules capture expert chemistry knowledge Legacy The 1980s expert-systems boom The evolution of AI
Show the full timeline (1974–2026)
1974 The first AI winter Funding retreats as promises go unmet
Cause Symbolic systems were brittle, did not scale Pattern Hype, then retreat — it recurs Symbolic vs neural 1986 Backpropagation popularized A practical way to train multi-layer networks
Figures Rumelhart, Hinton, Williams Idea Learn features by propagating error Legacy Foundation of modern deep learning ML vs deep learning vs AI 1997 Deep Blue beats Kasparov A machine defeats the world chess champion
Builder IBM Method Massive search plus evaluation Legacy Focused machines can beat human experts The evolution of AI 2012 AlexNet Deep learning breaks image recognition
Figures Krizhevsky, Sutskever, Hinton Fuel GPUs + the ImageNet dataset Legacy The deep-learning revolution How AI image generators work 2017 “Attention Is All You Need” The transformer architecture arrives
Lab Google Idea Attention replaces recurrence Legacy The architecture behind modern LLMs The transformer, explained simply 2022 Generative AI goes mainstream Large language models reach the public
Shift Chat interfaces for general use Reach Hundreds of millions of users Legacy AI becomes everyday software How large language models work 2026 The present Where the record stands today
State Capable at tasks — not thinking Debate Genuine benefits, genuine risks Open Does understanding ever follow? Where the record stands Scroll down to move through the years
The AI museum A horizontal walk — one hall per landmark. Drag or swipe sideways.
Hall 1 1943
The McCulloch–Pitts neuron The first mathematical model of how a neuron might compute — logic from biology. Warren McCulloch · Walter Pitts
Hall 2 1950
Turing’s imitation game Turing reframes “can machines think?” as a test anyone can run. Alan Turing
Hall 3 1956
The Dartmouth conference Artificial intelligence is named and organized as a field of research. McCarthy · Minsky · Rochester · Shannon
Hall 4 1980
The expert-systems era Rule-based AI reaches industry, encoding specialists as if–then rules. Feigenbaum and the Stanford school
Hall 5 2012
AlexNet Deep learning breaks image recognition, powered by GPUs and ImageNet. Krizhevsky · Sutskever · Hinton
Hall 6 2022
Generative AI goes public Large language models move from the lab into everyday conversation. Many labs
Scroll sideways to walk through the halls →
The knowledge graph Click a branch to expand its sub-topics and follow it into the archive.
Hover a branch to highlight it · click a branch head (+) to expand
From AI to the Transformer Drag the nodes to rearrange the lineage; click one to read what it is.
Artificial Intelligence Machine Learning Neural Network Encoder Attention Transformer
Obsidian-style graph Drag the nodes Rearrange the lineage, then click any node to read what it is and when it arrived.
The people behind it Click a name to see how the founders of the field connect.
created influenced worked with John McCarthy Artificial Intelligence Marvin Minsky Claude Shannon
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The family tree of methods Expand each branch — symbolic AI, machine learning, deep learning.
Click a branch to expand or collapse it