Demis Hassabis's Recent LinkedIn Posts

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 DeepMind that represents a significant step forward in enhancing the security of software. CodeMender uses the advanced reasoning abilities of Gemini Deep Think models to automatically fix critical vulnerabilities in software. It moves beyond simply identifying threats and actively works to mitigate them, augmenting the incredible work of security engineers and developers. Tools like CodeMender could help them build security into systems from the ground up. Cybersecurity is a critical area of research for us, and we believe AI could one day be an essential tool for preventing cyberattacks at scale. These are preliminary results from CodeMender and we're working with the open-source community to get feedback and responsibly build this tool. We look forward to sharing more on our progress as we continue to explore how AI can be responsibly leveraged to solve major global challenges. Amazing, pioneering work by the team. Congrats! You can read more here:

I’ve worked on AI my whole life because I’ve always believed it could unlock the ability to answer some of the biggest and most intractable problems in science. Our first big science breakthrough happened five years ago when we announced our solution to the protein structure prediction problem: AlphaFold 2. It has been incredible to see its impact since then. More than 3 million researchers across 190 countries have used this tool for disease understanding, drug discovery and more. And it was an honour of a lifetime for our work to be recognised last year with a Nobel Prize. One of our greatest ambitions is for AI to aid in accelerating drug design and help cure all diseases. This is what led me to found Isomorphic Labs, which is already making amazing progress. We’ve also expanded AlphaFold to predict the interactions of all of life’s molecules. But AlphaFold represents more than a solution to a biological puzzle. It demonstrated how AI can crack ‘root node’ problems - where a single breakthrough unlocks entire new avenues of research. It is a critical step towards a long-held dream of mine: building a virtual cell. Imagine running ‘in silico’ experiments orders of magnitude faster than in a wet lab. Scientists could rapidly test hypotheses, model complex pathways and see how a drug affects a cell. It would be an incredible boon not only for fundamental biology but also for medicine. Although for me, AlphaFold was never just about biology. It was the first major proof point for a much larger thesis: that AI could be the ultimate tool for advancing science. By processing data or helping us come up with new hypotheses, I think AI will help us tackle some of humanity’s greatest challenges and answer fundamental questions about the universe. From materials design to fusion energy to mathematics, I believe we’re on the cusp of a new golden age of discovery. We’re just getting started. Read more about AlphaFold’s impact: https://lnkd.in/eNeqxqQp

It was amazing to be in India this week for the AI Impact Summit. Seeing firsthand how the country is applying AI to solve real-world problems, it is clear that India is poised to become an AI powerhouse on the global stage. My thanks to Prime Minister Narendra Modi, Minister Ashwini Vaishnaw and the Indian government for convening such an impressive and productive meeting. Since the first summit in the UK at Bletchley Park in 2023, presciently initiated by Prime Minister Rishi Sunak, this gathering has become very important for continuing international dialogue and cooperation on the future of AI. Those discussions are especially urgent with AGI on the horizon, potentially within the next five years. In my view, AGI will be the most transformative technology ever invented and its impact will be unprecedented, maybe 10x that of the Industrial Revolution, unfolding 10x faster. I’ve always believed AI could be the ultimate tool to advance science, medicine, and productivity, and help tackle some of the biggest challenges facing humanity. To realise this massive potential, more scientists and entrepreneurs need to be able to use frontier AI capabilities. Building on our work with the US and UK, Google DeepMind announced new partnerships in India this week to broaden access to AI tools like AlphaGenome, WeatherNext and Gemini-powered learning assistants. India is already one of the top countries by users of the Gemini app. Our world-class team in Bengaluru is doing critical research on efficient models and multilingual capabilities that we are bringing to our products and technologies in order to broaden AI’s impact. It was incredibly impressive to see the energy and enthusiasm for AI in the country, especially among young people. While speaking at the Indian Institute of Science (IISc), I met with students and faculty who had inspiring ideas for seizing the economic and scientific opportunities AI unlocks. This is an extremely exciting time but we must approach it with humility and care, as we don’t have all the answers yet about how this technology will develop and be deployed into the world. To navigate this next period in human history, we need more forums like the international summits to bring together all parts of society - including technologists, scientists and governments, but also artists, social scientists, philosophers and citizens. These dialogues are vital to realising AI’s benefits and mitigating any potential risks. If we get these next steps right, I’m very optimistic we can usher in a new golden age of scientific discovery and progress, and improve the lives of everyone, everywhere.

We started DeepMind back in 2010 because even then we believed Artificial General Intelligence (AGI) would be the most transformative technology ever invented. It has the potential to be the ultimate tool to accelerate science and medicine, and improve productivity. The impact will be profound, but the challenges and complexities are also enormous. Thoughtfulness and foresight will be critical as we seek to steward this technology safely into the world to benefit everyone. As part of our contribution to that effort, I’m thrilled to welcome Jasjeet Sekhon to Google DeepMind as Chief Strategy Officer to partner with me on strategy cutting across research, commercialisation, policy and more. Jas is uniquely experienced for this role, having served as Chief Scientist and Head of AI at Bridgewater Associates, where he now joins the board. Super excited to be working with Jas to accelerate this important work at such a critical time for this technology.

Huge congrats to Pete Battaglia and our #GraphCast team who won the Royal Academy of Engineering #MacRobertAward, the UK’s top award for engineering innovation! GraphCast provides super fast and highly accurate weather predictions up to 10 days in advance, including early warnings for extreme weather events.

A universal assistant could "enable future AIs that can carry out their own scientific research, potentially unlocking more miracle cures.”💡 We’ve been named by TIME as both a TIME100 Most Influential Company and an Impact Award honoree – an inaugural distinction for our meaningful contributions to AI. Find out more about why they chose us for this recognition. →  https://lnkd.in/ed9-ax_c Image Credit: Google DeepMind CEO Demis HassabisCarlotta Cardana—Camera Press/Redux

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 Prosperity Deal announced today, which highlights the opportunity for AI to accelerate scientific progress in vital areas like drug discovery and fusion energy. Combining the unique strengths of both countries will help to ensure our scientists continue to lead on the breakthroughs and innovations that will define the future. In particular, we look forward to working with both governments to advise on how scientists can harness the latest AI tools, as well as building on our partnership with the UK Atomic Energy Authority to advance fusion energy research in the US and the UK. Today’s agreement also deepens longstanding security collaborations between the US and UK. As we approach AGI, a strong partnership between the UK’s AI Security Institute (AISI) and the US’s Center for AI Standards and Innovation (CAISI) will be vital for ensuring and promoting secure deployment of AI throughout the world. I’d especially like to see AISI and CAISI now accelerate work on common standards, in partnership with industry. I’ve always been a proud champion of the UK’s potential to build on its rich heritage and become a global hub for pioneering AI. It’s fantastic to see continued confidence in the UK through Google’s announcement this week of a further £5 billion investment over the next two years, including a new state-of-the-art data centre at Waltham Cross. These investments demonstrate the strength of the US-UK partnership and our commitment to ensuring both countries remain at the forefront of a new golden age of scientific discovery.

Honoured to be on the #TIME100 list and cover - and congratulations to all the other people featured. Thank you to the brilliant Jennifer Doudna, founder of the Innovative Genomics Institute, for the lovely writeup.

Winning The Nobel Prize is the honour of a lifetime and the realisation of a lifelong dream - it still hasn’t really sunk in yet. With AlphaFold2 we cracked the 50-year grand challenge of protein structure prediction: predicting the 3D structure of a protein purely from its amino acid sequence. Proteins are the building blocks of life, and knowing the structure of a protein is crucial for understanding the function it performs. We then folded all 200 million proteins known to science and made those structures freely available for anyone in the world to use, with the help of our wonderful collaborators at European Bioinformatics Institute | EMBL-EBI. Over 2 million researchers have already used AlphaFold2 and its predictions to advance a huge range of important work - everything from enzyme design, to disease understanding, to drug discovery. But this is only the beginning. Over the next few years AI will help us make great strides towards developing new and more effective therapies for today's most prevalent diseases, and the fantastic team at Isomorphic Labs are making rapid progress on this mission. I can’t think of a more important or beneficial use of AI. Then of course there is advancing AGI itself, the original and enduring goal, and the vision behind the founding of DeepMind nearly 15 years ago. If AI is built safely and responsibly, I believe it will be one of the most transformative and beneficial technologies ever. I’ve always thought of AI as the ultimate tool to help us accelerate scientific discovery. Congratulations to John Jumper (and David Baker!), the amazing AlphaFold team, and all our incredible colleagues at Google DeepMind and Google that supported and encouraged us along the way - this award is for all of us! It’s been such an honour and privilege to work with all of you to advance the frontiers of AI and science, and there is so much more to come!

Our CEO Demis Hassabis joined the Financial Times's Roula Khalaf to talk about #AlphaFold, how AI can revolutionize scientific discovery, and why we could be 5-10 years away from AGI. 🌐 Watch in full → https://goo.gle/4azvtlC

I’ve long believed that there is no more important application for AI than helping improve human health. We are delighted to expand and strengthen our deep collaboration with Novartis, and it serves as further evidence of the enormous potential impact AI will have on accelerating drug discovery. bit.ly/4i669WZ

Always wonderful to be back in Singapore, and a pleasure and honour to discuss AI with you Prime Minister Wong. It’s great to see the ambitious thinking from Singapore on AI and the prioritisation of AI for science, and we look forward to the exciting collaborations ahead!

Thrilled to announce Isomorphic Labs has raised $600M to turbocharge our mission to one day solve all disease with the help of AI. I've long felt that improving human health is the most important thing we can do with AI and today marks a big step towards a new era of drug discovery. The round is led by Thrive Capital with participation from GV (Google Ventures) and our existing investor Alphabet, and we could not be more excited to be partnering with these top-tier AI and life science investors to help realise our ambitious mission. This is what science at digital speed looks like! Read more: bit.ly/42cnRlg

Accurate weather prediction is one of the most important uses of AI – from helping with climate and environmental planning, to disaster response and grid reliability. Excited for today’s launch of WeatherNext. Congrats to the team!

We think of Google DeepMind as the engine room of Google in the AI era. Thrilled to share our vision at #GoogleIO including the latest Gemini model 1.5 Flash, Project Astra our universal AI agent effort, our new generative video model Veo, Imagen 3 and lots more!  More info at https://deepmind.google/

Had a really great chat with Scott Pelley of 60 MINUTES about AI and its future. I’ve always believed AI could be the ultimate tool to help us advance scientific progress and better understand the universe around us, and perhaps one day even solve all disease. https://lnkd.in/eW74ZnJf

We’re proud to announce that Genie 3 has been named one of TIME's Best Inventions of 2025. Genie 3 is our groundbreaking world model capable of generating interactive, playable environments from text or image prompts. Find out more → https://goo.gle/3KGqiYa

Ten years ago, AlphaGo’s legendary match in Seoul heralded the start of what is now recognised as the modern era in AI. In 2016, with over 200 million people watching, our AI system AlphaGo faced world champion Go player Lee Sae Dol. The match was defined by AlphaGo’s famous ‘Move 37’ in Game 2 - a play so unconventional it first appeared to be a mistake. But as the game unfolded, it became clear the play wasn’t just bold, it was decisive. One hundred or so moves later, Move 37 was in exactly the right place to decide the battle and allow AlphaGo to win the game. I knew at that moment that the AI techniques we developed with AlphaGo were ready to be applied to our real goal of using AI to accelerate scientific breakthroughs. The trajectory since then has been incredible: • 𝗔𝗹𝗽𝗵𝗮𝗭𝗲𝗿𝗼: Taught itself from scratch to master any 2-player perfect information game, including Go, chess and shogi.  • 𝗔𝗹𝗽𝗵𝗮𝗙𝗼𝗹𝗱: Solved the 50-year grand challenge of protein structure prediction and is now a standard tool for millions of scientists around the world. • 𝗔𝗹𝗽𝗵𝗮𝗣𝗿𝗼𝗼𝗳 & 𝗔𝗹𝗽𝗵𝗮𝗘𝘃𝗼𝗹𝘃𝗲: Applying AlphaGo’s ‘reasoning as search’ to formal mathematics and algorithm discovery. • 𝗚𝗲𝗺𝗶𝗻𝗶: In Deep Think mode, our most capable model uses search and planning algorithms to explore lines of thought in parallel - an approach inspired by AlphaGo. Our goal is to build artificial general intelligence (AGI) that can help us make fundamental leaps in science and address some of the most pressing problems facing humanity, including energy and disease. The techniques we pioneered in AlphaGo are now paving the path towards AGI. Gemini uses some of the same search and planning approaches to reason across language, audio, video and images to build a model of how the world works. We think the combination of Gemini’s world model and AlphaGo’s techniques, as well as a system’s ability to call on specialised AI tools like AlphaFold, will prove to be critical for AGI. True creativity is a key capability that such an AGI system would need to exhibit. Move 37 was a glimpse of AI’s potential to think outside the box, but true original invention will require something more. It would need to not only come up with a novel Go strategy, as AlphaGo impressively did, but actually invent a game as deep and elegant, and as worthy of study as Go. AlphaGo has had an amazing impact over the past 10 years - look forward to seeing what it unlocks next!

The UK has an incredible heritage in scientific innovation and computing, from Babbage to Turing. I’m passionate about the country’s potential to lead in the AI era and translate this opportunity into real benefit for people. To help realise this vision, we are deepening our partnership with the UK government and the Department for Science, Innovation and Technology We are giving UK scientists priority access to our frontier AI for science models and tools like AI co-scientist to accelerate discoveries. Next year, Google DeepMind will also establish our first automated laboratory in the UK. Focused on materials science and with Gemini integrated across the lab, it will help scientists analyse hundreds of potential materials every day. Discovering superconducting materials that can operate at ambient temperature and pressure is a lifelong dream of mine and I am hopeful AI systems will help us find them. We are also collaborating with the UK government to understand how AI tools like Gemini can support teachers and students, and to modernise public services and enhance national cyber resilience. The UK has real strengths in AI and this partnership will ensure it remains innovative and at the technical forefront. Learn more here:

Filmed over five years, The Thinking Game takes you inside our labs as the team strives to unravel the mysteries of AGI. 🧠 Get a candid look at the breakthroughs, the challenges and the pivotal moments of working on a 50-year-old grand challenge in biology  – culminating in a Nobel Prize award for Chemistry. Stream for free on YouTube → https://goo.gle/4rir12F

It’s amazing to see how the conversation around AI has evolved in the past year. In Davos last week, the discussions reflected the shift from the era of generative AI - models that write text and code - to agentic AI that can reason, plan, and take action. This shift brings immense potential to increase productivity and solve complex problems in the real world. As agent-based systems become more prevalent, the good news is I think we’ll see demand from enterprises and users that will drive the right behaviours regarding safety and security. Businesses will require guarantees that the systems they deploy are reliable and handle data securely. There will be a lot of commercial pressure on frontier AI providers to get this right, and it will be essential preparation for when bigger stakes come around with AGI. AGI will impact all of humanity. Currently, mechanisms for international coordination to realise its benefits and mitigate any potential risks are lagging behind the technology. We vitally need more dialogue between companies, governments, and civil society to ensure we get this transformative technology right. Ideally, as we approach AGI the best minds in the world would collaborate across disciplines - philosophers, social scientists and economists, as well as technologists - to figure out what we want from this technology and ensure all of humanity benefits from it. Today there is fear and reasonable concern around the impact of AI. It is incumbent on the industry to demonstrate the unequivocal good AI can do. Our work at Isomorphic Labs to design new drugs is an incredible example that builds on our pioneering breakthroughs with AlphaFold - but we need a lot more. AI has the potential to help us discover new materials, develop new clean energy sources and move us towards a post-scarcity world, all of which would dramatically improve the human condition. Our Google DeepMind Science team is leading the way on building AI tools to accelerate the pace of scientific discovery - like AlphaGenome, which was just released this week. I have spent my entire career on developing AI because I always believed it would usher in a new golden age of scientific discovery. I’ve been thinking about the technical risks for just as long, but I remain a big believer in human ingenuity and adaptability. If we approach building AI with the time and thoughtfulness it deserves, grounding our work rigorously in the scientific method, I am confident mitigating the technical risks is a tractable problem. There are profound questions to answer about the post-AGI world we want to build. It’s for us, as humanity, to write what happens next. It was great to discuss this and more when I was in Davos: https://lnkd.in/eGmag9Cs

Thanks Alex Kantrowitz for the great chat. Really enjoyed covering some of my favourite topics... scaling, AGI, and some of our latest breakthroughs.

Finishing up my time in Paris for the AI Action Summit, and I had a few takeaways: First, I want to thank President Macron and Prime Minister Modi for convening this summit. It’s incredibly important the international community continues to come together and discuss the future of AI. We all have to be on the same page about the future we’re working to create. I’ve dedicated my life to building artificial intelligence because I’ve always believed it will be the most transformative and beneficial technology ever invented – particularly to accelerate scientific discovery. AlphaFold was powerful proof of this fact. But AI is a dual-purpose technology. As we work to reap its benefits, we have to address two central questions. The first is about risks from bad actors, or people who would use this technology for malicious ends. If we really want to unlock a golden era of progress, we have to enable good actors to continue to make advancements, while restricting access to would-be bad actors. The second question is how we ensure we stay ahead of novel risks that could arise as we approach AGI. This includes things like deceptive misalignment, which we discuss in our recent update to the Frontier Safety Framework. These concerns are not far-off or far-fetched, nor are they limited to one particular geography. They are global concerns that require focused, international cooperation. We still have work to do to find the best path towards the best future. There are many questions we’ve yet to answer about what we want society to look like post-AGI. I look forward to more collaboration on these urgent questions at the next AI Summit, and beyond.

Excited to announce AlphaProteo, our breakthrough AI system for designing novel proteins that bind to a target molecule or protein. It has the potential to accelerate our understanding of biology, and aid the discovery of new drugs, the development of biosensors, & much more!

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, pursuing our mission to one day solve all disease with the help of AI. Ben is uniquely qualified to lead the translation of our pioneering research and drug design programs into transformative medicines that will ultimately improve the lives of patients around the world.

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 great progress Isomorphic Labs designing new drug candidates for challenging targets. ⬇️

In 2020, AlphaFold 2 was heralded as a solution to the problem of protein structure prediction, a 50-year-old grand challenge in biology: https://dpmd.ai/3US0CdU Today, we at Google DeepMind take another big step forward with AlphaFold3, which can predict the interactions and structures of nearly all biomolecules with state-of-the-art accuracy including proteins, DNA and RNA, as well as small molecules, also known as ligands. We believe this new technology has the potential to be transformative for biological research. Isomorphic Labs is already using it to support drug design cases, together with pharmaceutical partners, and we have also created a new AlphaFold Server - powered by AlphaFold 3 - available for free for academic and non-commercial use. Millions of researchers worldwide have already leveraged existing AlphaFold tools and databases. We hope that countless more scientists will make use of AlphaFold 3 and the AlphaFold Server to accelerate their vital research in biology and medicine.

Today, we’re excited to release two new, production-ready versions of Gemini 1.5 Pro and Flash. 🚢 They build on our latest experimental releases and include significant improvements in long context understanding, vision and math. Developers can access both for free via Google AI Studio and the Gemini API - while enterprises can try it on Google Cloud's Vertex AI platform. 🤝 → https://dpmd.ai/4dz7q6l

Amazing opportunity for startups to access Google DeepMind models & expertise !

More exciting progress as we relentlessly drive quality up and cost down. The Gemini 2.0 series are the leading models for cost and performance. With today’s releases, everyone can tap into their powerful reasoning and multimodal capabilities, which also lay the foundations for our agent research work.

A look back at a year's worth of scientific breakthroughs and extraordinary progress in 2024.

Accelerating scientific discovery has always been my primary motivation for building AI - I think it could be an amazing tool to help scientists solve huge challenges like finding new sources of clean energy and curing disease. So I am excited to share that Google DeepMind is supporting the White House's Genesis Mission to use AI to power science and innovation. We are partnering with the U.S. Department of Energy (DOE) to give scientists at all 17 National Labs accelerated access to our frontier AI models, starting with AI co-scientist (to help researchers generate novel hypotheses) and expanding soon to AlphaEvolve, AlphaGenome and WeatherNext. Foundational work on the Protein Data Bank at the DOE's Brookhaven National Lab was crucial for AlphaFold, so it feels fitting now to build on this history. AI is ushering in a new golden era of discovery. Look forward to seeing the breakthroughs this partnership with the DOE unlocks! https://lnkd.in/eQ4sBtGH