Seventy years from a single question — can machines think? — to machines that reason, create, and act. Scroll through the acceleration.
Each milestone closer than the last. Watch the gaps collapse as we approach now.
Alan Turing asks whether a machine can imitate human thought well enough to fool us. The benchmark that haunts the field is born.
A summer of mathematicians coins the term "Artificial Intelligence." A discipline gets a name and a mission.
The first chatbot mirrors your words back as questions. Crude pattern-matching — yet people confided in it. The illusion of understanding arrives early.
Hand-coded rules encode human expertise into software. Industry pours in. For a moment, it feels like reasoning is solved.
The hype outruns the results. Funding evaporates, labs shutter, the promise freezes over. The field learns humility the hard way.
IBM's machine beats the world chess champion. Brute-force search topples a human mind at its own game. The world takes notice again.
A deep neural network shatters the image-recognition benchmark. Deep learning ignites — and everything after accelerates from here.
A machine masters Go — a game thought to require intuition. Move 37 stuns the world's best. Strategy is no longer ours alone.
The Transformer is published. A single architecture unlocks scale — and quietly becomes the engine behind everything that follows.
175 billion parameters. Language modelled at a scale that surprises even its makers. Fluency emerges from sheer size.
AI walks out of the lab and into a hundred million pockets in two months. The fastest-adopted product in history. Everything changes overnight.
Models that see, hear, and reason across modalities — then begin to use tools, write code, and act in steps toward goals.
Models that think before they answer, plan across long horizons, and act through software on our behalf. The gaps have collapsed to weeks. The question is no longer can machines think — but what we ask them to do.
ELIZA matched patterns in a single line. Today's systems reason across thousands. The same field — a different universe.
ELIZA reflected sentences back. Today's agents form plans, test hypotheses, and self-correct mid-task.
From a few hundred coded rules in expert systems to models learning from a meaningful fraction of the internet.
It took the telephone 75 years to reach 100M people. ChatGPT did it in two months.
Deep Blue played chess and nothing else. Today's frontier models cross domains and operate software on their own.
For seventy years, intelligence was something only we possessed. That assumption is now the most interesting open question of our time.