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.
Key Points
- 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.
- The book traces how one researcher and his team laid the groundwork for today's AI era.
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.
Context
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.
Sources