Demis Hassabis

Demis Hassabis co-founded DeepMind in London in 2010 with Shane Legg and Mustafa Suleyman. His route into AI crossed several fields: chess, computer games, computer science and neuroscience. He helped make Theme Park, studied computer science at Cambridge, founded the games company Elixir Studios and later completed a doctorate in cognitive neuroscience at UCL. These were different ways to study how people learn, plan and imagine. DeepMind used games as a test setting for learning systems. A game has rules and a way to measure progress, which made it possible to compare changes. In his Game Changer interview, Hassabis describes the early AlphaGo group testing whether a neural network could predict a strong player’s next move. After an encouraging result, the project added specialists and worked toward successive milestones. The account shows how a broad research aim became a sequence of smaller technical questions. Google acquired DeepMind in 2014. AlphaGo’s 4–1 match victory over Lee Sedol in March 2016 made the research widely visible. The purpose extended beyond games: AlphaFold2’s 2020 protein-structure prediction work helped demonstrate another use of learning systems. Hassabis and John Jumper shared half of the 2024 Nobel Prize in Chemistry for that work; David Baker received the other half for computational protein design. In 2023 DeepMind and Google Brain were brought together as Google DeepMind, led by Hassabis. His company-building story joins a long research horizon with short, measurable experiments. It also raises questions about who funds the work, how teams scale and how responsibility changes when a research result becomes a technology used outside the lab.