DeepMind and AI: The 10-Year Anniversary

Written on DeepMind's 10th anniversary (2021), this retrospective gives Hassabis's view of the first decade and what it established. He describes the founding thesis — that intelligence itself is a scientific problem that can be solved, and that solving it would be transformative for everything else — as having been validated by AlphaGo and AlphaFold, though not in the ways originally anticipated. The essay documents the evolution of the research agenda: from foundational deep RL research (DQN, A3C) to specific applications (AlphaGo) to scientific discovery (AlphaFold). He reflects on the critical decision not to do AI for its own sake but to build AI that makes genuine contributions to science — and how that focus attracted the specific type of talent (hybrid AI-science backgrounds) that enabled AlphaFold. Hassabis is unusually candid about what surprised him: he did not expect protein folding to yield so quickly to the deep learning approach, and he admits they were 'lucky' that CASP provided an unambiguous benchmark that allowed them to verify progress. He also discusses the acquisition by Google (2014) and how having Google's compute resources changed what was possible — arguing that scale was a necessary but not sufficient condition for AlphaFold's success.