The Infinity Machine by Sebastian Mallaby review – the story of the man who changed the world
TL;DR
Sebastian Mallaby profiles DeepMind founder Demis Hassabis in 'The Infinity Machine' – from chess prodigy to Nobel Prize winner. In March 2016, AlphaGo defeated world-class Go player Lee Se-dol in Seoul, a landmark moment in AI history. Go's vast decision space made it seemingly impossible for classical computing – DeepMind cracked it with deep reinforcement learning. Chess had fallen to machines in 1997 via DeepBlue, but Go was long considered out of reach until Hassabis' team proved otherwise.
Nauti's Take
It's good that someone is writing this history now – before mythology fully overtakes the facts. Mallaby is known for rigorous reporting, and Hassabis is no ordinary tech CEO shuffling buzzwords; he is a genuine scientist who played a long game.
That said, biographies of living, active AI leaders tend toward hagiography, so healthy scepticism is warranted. The really interesting question – whether DeepMind can preserve its scientific soul inside Google – is one a retrospective alone cannot answer.
Briefingshow
Mallaby's biography arrives at a moment when AI has moved from speculation to daily reality – and Hassabis is a central architect of that shift. AlphaGo was more than a game victory: it demonstrated that neural networks can generalise without explicit rules, providing a blueprint for later systems like AlphaFold and, ultimately, large language models. Understanding DeepMind's journey is essential to understanding why AI is so powerful today.
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