
Demis Hassabis
Co-founder and CEO of Google DeepMind
Chess prodigy, game developer and neuroscientist who co-founded DeepMind in 2010. He shared the 2024 Nobel Prize in Chemistry for AlphaFold and leads Google's combined AI research organization.
Read them in their own words
Published elsewhere, not by me — so you get real context beyond the name and the title.
Demis Hassabis Is Preparing for AI's Endgame
Traces the line from a Nobel-winning protein-folding model to his stated goal of building general AI.
Key arguments & positions
- Frames AI primarily as an instrument for scientific discovery — protein structures, materials, weather, mathematics.
- Supports international coordination on frontier AI testing, and has signed statements putting extinction-level risk on the global agenda.
- Has said scaling alone is unlikely to be enough for general intelligence, and that new research ideas are still needed.
Accomplishments
- Co-founded DeepMind in 2010; CEO of Google DeepMind since the 2023 merger with Google Brain.
- Shared the 2024 Nobel Prize in Chemistry for AlphaFold's protein-structure predictions.
- Oversaw AlphaGo, AlphaZero, AlphaFold and GraphCast; knighted in 2024.
Papers & key writings
Links
Jobs
What they've said in public about careers, hiring and work. Each point links to its source.
- Public position
Said AI will be a bigger transformation than the Industrial Revolution, but was optimistic because humans are "infinitely adaptable." He expects "new jobs will appear, new very valuable jobs," and that AI will "supercharge sort of technically savvy people who are at the forefront of using these technologies."
Business Insider (SXSW London talk), June 2025 - Career advice
Told Cambridge students to use their time as undergraduates to understand how they learn best — "learning to learn" and adaptability matter more than any single subject, because you will need to pick up new material quickly throughout your career.
Business Insider (Queens' College, Cambridge interview), May 2025
In the library
Nothing of theirs is filed in the hub yet. Browse the full library.
Recommended next
Hand-picked from the hub based on what Demis Hassabis covers.
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Why this: Also about reinforcement learning
What Is RLCD? Reinforcement Learning from Contrast Distillation
A plain-language explainer on RLCD, a way of aligning language models by learning from contrasting outputs rather than human ratings alone.
Why this: Also about reinforcement learning
Reinforcement Learning ebook (Weights & Biases)
A free ebook walking through reinforcement learning from the basics to RLHF, written for practitioners rather than researchers.
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