Demis Hassabis
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Co-Founder & CEO, Google DeepMind
Greater London, England, United Kingdom
165K followers
500+ connections
About
Co-Founder & CEO of Google DeepMind - working on AGI, responsible for AI breakthroughs such as AlphaGo, the first program to beat the world champion at the game of Go; and AlphaFold, which cracked the 50-year grand challenge of protein structure prediction and was recognised with the 2024 Nobel Prize in Chemistry. Revolutionising drug discovery at Isomorphic Labs. Ultimately trying to understand the fundamental nature of reality.
Activity
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AI has incredible potential to help strengthen cyberdefense. That’s why I’m excited about CodeMender, a new AI agent from our teams at Google…
AI has incredible potential to help strengthen cyberdefense. That’s why I’m excited about CodeMender, a new AI agent from our teams at Google…
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Opening of our "Evolution and Foundation" AI x Art exhibition at the OXO Gallery on the South Bank London. Open to the public daily from October 17th…
Opening of our "Evolution and Foundation" AI x Art exhibition at the OXO Gallery on the South Bank London. Open to the public daily from October 17th…
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🎃 October will focus on a new four-part series about how 'The Future of Design Will Be Shaped By Intelligence Builders.' In Part 1, I talk about…
🎃 October will focus on a new four-part series about how 'The Future of Design Will Be Shaped By Intelligence Builders.' In Part 1, I talk about…
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Experience
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Early Gaming Career
Elixir Studios, Lionhead Studios, Bullfrog Productions
Education
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I’ve spent my whole career working on AI because I believe it will be the ultimate tool to advance science. So I’m excited to see the US and UK Tech…
I’ve spent my whole career working on AI because I believe it will be the ultimate tool to advance science. So I’m excited to see the US and UK Tech…
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Helping to improve human health is one of the most important uses of AI. Insightful discussion with Tom Mackenzie on Bloomberg Tech Europe of our…
Helping to improve human health is one of the most important uses of AI. Insightful discussion with Tom Mackenzie on Bloomberg Tech Europe of our…
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Image generation with Gemini 2.5 Flash just got a major upgrade. 🤯 Our state-of-the-art model can generate anything from photorealistic…
Image generation with Gemini 2.5 Flash just got a major upgrade. 🤯 Our state-of-the-art model can generate anything from photorealistic…
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As students get ready to start classes around the world, we're making our most advanced AI tools available to college students in the US, Japan…
As students get ready to start classes around the world, we're making our most advanced AI tools available to college students in the US, Japan…
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I am deeply grateful to Sir Demis Hassabis—a truly brilliant Cambridge alumnus and an extraordinarily impactful, pioneering researcher—for his…
I am deeply grateful to Sir Demis Hassabis—a truly brilliant Cambridge alumnus and an extraordinarily impactful, pioneering researcher—for his…
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I’m thrilled to welcome Ben to Isomorphic Labs as our Chief Medical Officer. His arrival marks our next chapter as we progress towards the clinic…
I’m thrilled to welcome Ben to Isomorphic Labs as our Chief Medical Officer. His arrival marks our next chapter as we progress towards the clinic…
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Amazing opportunity for startups to access Google DeepMind models & expertise !
Amazing opportunity for startups to access Google DeepMind models & expertise !
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An insightful day at our London office yesterday! We were thrilled to host Prof Sir Mene Pangalos, a distinguished member of our Scientific Advisory…
An insightful day at our London office yesterday! We were thrilled to host Prof Sir Mene Pangalos, a distinguished member of our Scientific Advisory…
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We built an AI model to simulate how a fruit fly walks, flies and behaves - in partnership with Howard Hughes Medical Institute (HHMI). 🪰 To create…
We built an AI model to simulate how a fruit fly walks, flies and behaves - in partnership with Howard Hughes Medical Institute (HHMI). 🪰 To create…
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Gael Varoquaux
Our didactic review on machine learning for causal inference, now open access We explain: • identifiability (theory of when the data can answer a causal question) • machine-learning estimators (including practical tips) • study design (asking well-framed questions, and loopholes, eg with time-wise data) Link in comments...
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Colleen Farrelly
Some recent, exciting news on compressed tokenizers and how individual tokens modify images in encoder-decoder models. I hope this opens up a new avenue of research with smaller models across frameworks (perhaps JEPA?). https://lnkd.in/evFw8WBu
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Vinija Jain
📝 Announcing our paper that proposes a unified cognitive and computational framework for Artificial General Intelligence (AGI) -- going beyond token-level predictions -- one that emphasizes modular reasoning, memory, agentic behavior, and ethical alignment 🔹 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐁𝐞𝐲𝐨𝐧𝐝 𝐓𝐨𝐤𝐞𝐧𝐬: 𝐅𝐫𝐨𝐦 𝐁𝐫𝐚𝐢𝐧‑𝐈𝐧𝐬𝐩𝐢𝐫𝐞𝐝 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐭𝐨 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐆𝐞𝐧𝐞𝐫𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐢𝐭𝐬 𝐒𝐨𝐜𝐢𝐞𝐭𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭 🔹 In collaboration with University of Central Florida, Cornell University, UT MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Toronto Metropolitan University, University of Oxford, Torrens University Australia, Obuda University, Amazon others. 🔹 Paper: https://lnkd.in/gqKUV4Mr ✍🏼 Authors: Rizwan Qureshi, Ranjan Sapkota, Abbas Shah, Amgad Muneer, Anas Zafar, Ashmal Vayani, Maged Shoman, PhD, Abdelrahman Eldaly, Kai Zhang, Ferhat Sadak, Shaina Raza, PhD, Xinqi Fan, Ravid Shwartz Ziv, Hong Yang, Vinija Jain, Aman Chadha, Manoj Karkee, @Jia Wu, Philip Torr, FREng, FRS, Seyedali Mirjalili ➡️ 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐨𝐟 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐁𝐞𝐲𝐨𝐧𝐝 𝐓𝐨𝐤𝐞𝐧𝐬' 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞‑𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐆𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: 🧠 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: Integrates cognitive neuroscience, psychology, and AI to define AGI via modular reasoning, persistent memory, agentic behavior, vision-language grounding, and embodied interaction. 🔗 𝐁𝐞𝐲𝐨𝐧𝐝 𝐓𝐨𝐤𝐞𝐧‑𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧: Critiques token-level models like GPT-4.5 and Claude 3.5, advocating for test-time adaptation, dynamic planning, and training-free grounding through retrieval-augmented agentic systems. 🚀 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐚𝐧𝐝 𝐂𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧𝐬: Proposes a roadmap for AGI through neuro-symbolic learning, value alignment, multimodal cognition, and cognitive scaffolding for transparent, socially integrated systems.
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