Summary
Matthew Sadler and Natasha Regan examine AlphaZero’s chess play and explain patterns in its games. Alongside the chess analysis, the book considers how a learning system can challenge established approaches. Garry Kasparov contributes the foreword and Demis Hassabis the introduction.
A separate interview chapter follows Hassabis’s route into AI and the development of DeepMind’s game-playing systems. He describes starting AlphaGo with a small group, testing an initial technical question and adding specialists after an encouraging result. This company account sits within a book whose main subject is chess and AI.
Why read it Our view
The Hassabis interview gives a concrete research-management case: test a narrow technical question with a small team, then bring in more skills when the result supports a larger effort. Read that chapter for its sequence of staffing choices and milestones; the chess strategies are not presented as proven business rules.
Written about
- Demis HassabisIntroduction contributor and interview subjectHassabis contributes the introduction and is interviewed in chapter 3. The book is by Sadler and Regan, with a foreword by Garry Kasparov. This is a partial contribution and a direct account of building DeepMind’s research projects, not sole authorship.Source