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This article explores Demis Hassabis's journey from a failed video game to founding DeepMind, highlighting the thin line between conviction and delusion in entrepreneurship. Author Sebastian Mallaby discusses key lessons from Hassabis's experiences and how they relate to investment and innovation in AI.
- Hassabis's early failure with *Republic: The Revolution* taught him to gauge team energy ("fluency test") as a signal of whether a project has real potential, rather than relying on unwavering personal conviction.
- He deliberately avoided Silicon Valley-style hype, instead building DeepMind's credibility through published, peer-reviewed results like AlphaFold's *Nature* paper.
- His "scientific taste"—sensing when a technology like reinforcement learning was about to break through—let him time breakthroughs correctly, whereas many startups fail from entering markets too early rather than from bad ideas.