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Demis Hassabis

Demis Hassabis

CEO of DeepMind Technologies

Appears in 7 stories

Born: July 27, 1976 (age 49 years), London, United Kingdom
Education: University College London (2009), Christ's College Finchley, University of Cambridge, and more
Awards: Nobel Prize in Chemistry, Breakthrough Prize in Life Sciences, Albert Lasker Award for Basic Medical Research, and more
Research interests: Neuroscience and Artificial Intelligence

Stories

Google Gemini's push toward scientific reasoning

New Capabilities

Chief Executive Officer, Google DeepMind - Leading Google's AI efforts; 2024 Nobel laureate in Chemistry

OpenAI launched the first commercial reasoning model in September 2024. Seventeen months later, Google claims its upgraded Gemini 3 Deep Think has pulled ahead on the benchmarks that matter most for science. The February 2026 update scored 84.6% on ARC-AGI-2—a test designed to measure how well artificial intelligence generalizes to novel problems—and 48.4% on Humanity's Last Exam, a collection of 2,500 expert-level questions crowdsourced from nearly 1,000 specialists worldwide.

Updated Feb 13

AI transforms drug discovery from years to hours

New Capabilities

Chief Executive Officer, Google DeepMind - 2024 Nobel Prize in Chemistry laureate

For decades, finding a drug meant testing millions of compounds one by one—a process that consumed years and billions of dollars before a single candidate reached patients. On January 9, 2026, researchers at Tsinghua University published DrugCLIP in Science, demonstrating a system that screened 500 million compounds against 10,000 human proteins in under 24 hours using just eight graphics processing units. The platform is 10 million times faster than conventional molecular docking.

Updated Feb 1

AI decodes the genome's dark matter

New Capabilities

Chief Executive Officer and Co-Founder, Google DeepMind - 2024 Nobel Prize Laureate in Chemistry

For twenty years after scientists sequenced the human genome, 98% of it remained essentially unreadable. The protein-coding genes were mapped, but the vast regulatory regions—the genome's operating system—stayed opaque. On January 28, 2026, Google DeepMind released the full source code for AlphaGenome, an artificial intelligence model that predicts how genetic variants in these non-coding regions affect gene regulation and disease.

Updated Jan 31

The recursive loop begins

New Capabilities

CEO and Co-founder, Google DeepMind - Leading development of self-improving AI systems, predicting AGI within 5-10 years

Google DeepMind announced in May 2025 that AlphaEvolve—an AI agent powered by Gemini—discovered a way to speed up Gemini's own training by 23%. The system found smarter matrix multiplication algorithms, shaving 1% off training time for a model that costs $191 million to train. Small numbers, massive implications: AI just started improving the process that creates AI. In January 2026, DeepMind CEO Demis Hassabis told the World Economic Forum in Davos that genuine human-level AGI is now 'five to 10 years' away, with Google's latest Gemini 3 model topping performance leaderboards.

Updated Jan 31

The AI science rush

New Capabilities

CEO and Co-founder, Google DeepMind - CEO of Google DeepMind; announced UK automated lab and Genesis DOE partnership

Science magazine named large language models doing frontier science a runner-up breakthrough of 2025. Within weeks, the prediction became reality: OpenAI's GPT-5.2 solved previously unsolved Erdős mathematics problems in 15 minutes, achieving 40% accuracy on expert-level mathematics that stumped earlier systems. DeepMind announced its first automated laboratory in the UK for 2026, pairing Gemini with robotics to synthesize hundreds of materials daily. Google partnered with the U.S. Department of Energy on Genesis, a national AI-for-science platform mobilizing 17 national laboratories.

Updated Jan 22

The AI reasoning revolution

New Capabilities

CEO, Google DeepMind - Leading DeepMind's reasoning breakthroughs and AGI research

OpenAI's GPT-5 dropped on August 7, 2025, completing AI's transformation from chatbots that string words together to systems that actually think through problems step-by-step. Google DeepMind's reasoning models won gold at the International Math Olympiad, solving problems only five human contestants cracked. Anthropic's Claude, Meta's Llama, and every major AI lab sprinted to build models that pause, plan, and reason rather than just predict the next word.

Updated Jan 8

Google ships Gemini 3 flash everywhere—and makes speed the default

New Capabilities

CEO, Google DeepMind - Overseeing Gemini’s research-to-product pipeline as releases accelerate.

The rollout didn’t stop at “Flash is the default.” In the days after launch, Google filled in the missing contract with developers: Gemini 3 Flash Preview is now explicitly priced in the Gemini API, with context caching rates, batch pricing, and a clear note that Gemini 3-era Search grounding will begin billing on January 5, 2026.

Updated Dec 20, 2025