Scroll to walk the timeline. Each milestone is a turning point — a moment when the future pivoted.
McCulloch and Pitts propose the first mathematical model of an artificial neuron. The dream begins.
Alan Turing publishes 'Computing Machinery and Intelligence' and proposes the Imitation Game.
The Dartmouth Conference coins the term 'Artificial Intelligence' — a field is born.
Minsky & Papert's Perceptrons book kills funding. Neural networks are declared a dead end.
Rumelhart, Hinton & Williams popularize backprop. Neural networks return from the cold.
IBM's Deep Blue defeats world chess champion Garry Kasparov. Machines can out-think us.
Krizhevsky & Hinton's AlexNet crushes ImageNet, halving the error rate. Deep learning begins.
DeepMind's AlphaGo defeats world champion Lee Sedol at Go. A new kind of intelligence.
The Transformer paper is published. The architecture behind every modern LLM is born.
175 billion parameters. Few-shot learning emerges at scale. The world starts to take notice.
100M users in 2 months. The fastest-adopted technology in human history. The inflection point.
o1, o3, R1. Models that think before they speak. The frontier accelerates again.
Models that see, hear, speak, code, plan, and act. NEXUS leads the next leap forward.