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Demis Hassabis

Co-founder and CEO of Google DeepMind, leading AI research company. Pioneer in artificial general intelligence and neuroscience-inspired AI.

Top 10 podcasts with Demis Hassabis

Ranked by the Snipd community
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564 snips
Jul 1, 2022 • 2h 17min

#299 – Demis Hassabis: DeepMind

Demis Hassabis is the CEO and co-founder of DeepMind. Please support this podcast by checking out our sponsors: – Mailgun: https://lexfridman.com/mailgun – InsideTracker: https://insidetracker.com/lex to get 20% off – Onnit: https://lexfridman.com/onnit to get up to 10% off – Indeed: https://indeed.com/lex to get $75 credit – Magic Spoon: https://magicspoon.com/lex and use code LEX to get $5 off EPISODE LINKS: Demis’s Twitter: https://twitter.com/demishassabis DeepMind’s Twitter: https://twitter.com/DeepMind DeepMind’s Instagram: https://instagram.com/deepmind DeepMind’s Website: https://deepmind.com Plasma control paper: https://nature.com/articles/s41586-021-04301-9 Quantum simulation paper: https://science.org/doi/10.1126/science.abj6511 The Emperor’s New Mind (book): https://amzn.to/3bx03lo Life Ascending (book): https://amzn.to/3AhUP7z PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: – Check out the sponsors above, it’s the best way to support this podcast – Support on Patreon: https://www.patreon.com/lexfridman – Twitter: https://twitter.com/lexfridman – Instagram: https://www.instagram.com/lexfridman – LinkedIn: https://www.linkedin.com/in/lexfridman – Facebook: https://www.facebook.com/lexfridman – Medium: https://medium.com/@lexfridman OUTLINE: Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) – Introduction (07:17) – Turing Test (14:43) – Video games (36:18) – Simulation (38:29) – Consciousness (43:29) – AlphaFold (57:09) – Solving intelligence (1:09:28) – Open sourcing AlphaFold & MuJoCo (1:19:34) – Nuclear fusion (1:23:38) – Quantum simulation (1:26:46) – Physics (1:30:13) – Origin of life (1:34:52) – Aliens (1:42:59) – Intelligent life (1:46:08) – Conscious AI (1:59:23) – Power (2:03:53) – Advice for young people (2:11:59) – Meaning of life
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187 snips
Feb 28, 2024 • 1h 2min

Demis Hassabis - Scaling, Superhuman AIs, AlphaZero atop LLMs, Rogue Nations Threat

Demis Hassabis discusses scaling AI, adding AlphaZero training atop LLMs, preventing rogue nations from stealing weights, aligning superhuman AIs, and governance. Topics include intelligence explosion, Gemini training, safety, security of weights, and further progress inside Google DeepMind.
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112 snips
Jul 10, 2023 • 1h 2min

Inside Google’s big AI shuffle — and how it plans to stay competitive, with Google DeepMind CEO Demis Hassabis

Today, I’m talking to Demis Hassabis, the CEO of Google DeepMind, the newly created division of Google responsible for AI efforts across the company. Google DeepMind is the result of an internal merger: Google acquired Demis’ DeepMind startup in 2014 and ran it as a separate company inside its parent company, Alphabet, while Google itself had an AI team called Google Brain. Google has been showing off AI demos for years now, but with the explosion of ChatGPT and a renewed threat from Microsoft in search, Google and Alphabet CEO Sundar Pichai made the decision to bring DeepMind into Google itself earlier this year to create… Google DeepMind.What’s interesting is that Google Brain and DeepMind were not necessarily compatible or even focused on the same things: DeepMind was famous for applying AI to things like games and protein-folding simulations. The AI that beat world champions at Go, the ancient board game? That was DeepMind’s AlphaGo. Meanwhile, Google Brain was more focused on what’s come to be the familiar generative AI toolset: large language models for chatbots, and editing features in Google Photos. This was a culture clash and a big structure decision with the goal of being more competitive and faster to market with AI products.And the competition isn’t just OpenAI and Microsoft — you might have seen a memo from a Google engineer floating around the web recently claiming that Google has no competitive moat in AI because open-source models running on commodity hardware are rapidly evolving and catching up to the tools run by the giants. Demis confirmed that the memo was real but said it was part of Google’s debate culture, and he disagreed with it because he has other ideas about where Google’s competitive edge might come into play.We also talked about AI risk and artificial general intelligence. Demis is not shy that his goal is building an AGI, and we talked through what risks and regulations should be in place and on what timeline. Demis recently signed onto a 22-word statement about AI risk with OpenAI’s Sam Altman and others that simply reads, “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.” That’s pretty chill, but is that the real risk right now? Or is it just a distraction from other more tangible problems like AI replacing labor in various creative industries? We also talked about the new kinds of labor AI is creating — armies of low-paid taskers classifying data in countries like Kenya and India in order to train AI systems. I wanted to know if Demis thought these jobs were here to stay or just a temporary side effect of the AI boom.This one really hits all the Decoder high points: there’s the big idea of AI, a lot of problems that come with it, an infinite array of complicated decisions to be made, and of course, a gigantic org chart decision in the middle of it all. Demis and I got pretty in the weeds, and I still don’t think we covered it all, so we’ll have to have him back soon.Links:Inside the AI FactoryInside Google’s AI culture clash - The VergeA leaked Google memo raises the alarm about open-source A.I. | FortuneThe End of Search As You Know ItGoogle’s Sundar Pichai talks Search, AI, and dancing with Microsoft - The VergeDeepMind reportedly lost a yearslong bid to win more independence from Google - The VergeTranscript:https://www.theverge.com/e/23542786Credits:Decoder is a production of The Verge, and part of the Vox Media Podcast Network.Today’s episode was produced by Jackie McDermott and Raghu Manavalan, and it was edited by Callie Wright.The Decoder music is by Breakmaster Cylinder. Our Editorial Director is Brooke Minters, and our Executive Producer is Eleanor Donovan.  Learn more about your ad choices. Visit podcastchoices.com/adchoices
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96 snips
Aug 14, 2024 • 50min

Unreasonably Effective AI with Demis Hassabis

Demis Hassabis, a trailblazer in artificial intelligence and co-founder of DeepMind, shares fascinating insights on AI's transformative power. He discusses the surge in public interest and its impact on technological development, including the Gemini AI models and Project Astra. Hassabis delves into the 'unreasonably effective' nature of AI, explaining how transformers redefine our understanding of machine learning. He also highlights the importance of aligning AI advancements with societal needs, especially in the realm of Artificial General Intelligence.
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68 snips
Apr 29, 2024 • 25min

How AI is unlocking the secrets of nature and the universe | Demis Hassabis

Demis Hassabis, Google DeepMind CEO, discusses how AI like AlphaFold is transforming scientific discovery by predicting protein structures. He explores AI's potential to unravel mysteries of the mind, body, and universe, highlighting the benefits and risks of advancing AI technology.
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66 snips
Nov 21, 2024 • 54min

AI for Science with Sir Paul Nurse, Demis Hassabis, Jennifer Doudna, and John Jumper

In this enlightening conversation, Demis Hassabis, CEO of DeepMind and a pioneer of AI, joins Nobel laureates Sir Paul Nurse, Jennifer Doudna, and John Jumper. They discuss transformative AI technologies like AlphaFold and CRISPR, emphasizing AI's role in revolutionizing scientific discovery. The panel addresses the importance of human creativity and interdisciplinary collaboration in research, while reflecting on the societal implications of advanced AI. A $20 million funding initiative to foster these collaborations is also unveiled, highlighting the future of science.
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39 snips
Aug 20, 2019 • 34min

AI and Neuroscience: The virtuous circle

What can the human brain teach us about AI? And what can AI teach us about our own intelligence? These questions underpin a lot of AI research. In this first episode, Hannah meets the DeepMind Neuroscience team to explore these connections and discovers how our brains are like birds’ wings, what training a dog and an AI agent have in common, and why the simplest things for people to do are, paradoxically, often the hardest for machines.If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or email us at podcast@deepmind.com.Further readingBBC: An AI playlistWait But Why: The AI RevolutionCoursera: AI for everyoneMedium: Machine Learning for HumansGoogle Arts & Culture: 25 moments that have defined AIRoyal Society: What is Machine Learning?The Algorithm: A weeklyemail newsletter from MIT Tech ReviewDeepMind blog: neuroscience and AI: a virtuous circleNature: Far-sighted birds plan breakfast the evening beforeInterviewees in this episode: Deepmind CEO and co-founder, Demis Hassabis; Matt Botvinick, Director of Neuroscience Research; research scientists Jess Hamrick and Greg Wayne; and Director of Research, Koray Kavukcuoglu.Credits:Presenter: Hannah FryEditor: David PrestSenior Producer: Louisa FieldProducers: Amy Racs, Dan HardoonBinaural Sound: Lucinda Mason-BrownMusic composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)Commissioned by DeepMind Please like and subscribe on your preferred podcast platform. Want to share feedback? Or have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.  
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32 snips
Jan 22, 2025 • 56min

Google DeepMind CEO Demis Hassabis: The Path To AGI, Deceptive AIs, Building a Virtual Cell

Demis Hassabis, CEO of Google DeepMind and a pioneer in artificial general intelligence, shares insights into the future of AI. He discusses the journey towards AGI, highlighting the necessary advancements in reasoning and creativity. Hassabis addresses the intriguing issue of deceptive AIs and their implications for research integrity. He also reveals ambitious projects like Google's smart glasses and vision for a virtual cell, while exploring how AI is reshaping material science and its transformative impact across various industries.
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25 snips
Aug 20, 2024 • 1h 15min

#111: Grok-2 Controversy, Demis Hassabis: AI Is “Unreasonably Effective,” AI in Schools & Ex-Google CEO Says AI Can Steal IP

Demis Hassabis, co-founder of Google DeepMind and a renowned AI researcher, speaks on the transformative role of AI in education and its implications. He discusses the Grok-2 update, highlighting its capabilities and risks in image generation. They explore the legal concerns surrounding AI and IP theft, as voiced by an ex-Google CEO. Hassabis also dives into the need for responsible AI integration in schools and the exciting innovations emerging in the field, setting the stage for future education and technology intersections.
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14 snips
Jan 22, 2025 • 1h 42min

Trajano - El mejor emperador Romano FEAT: Slobotzky - Historia para tontos Podcast EP# 130

Hoy, Slobotzky recibe a Demis Hassabis, CEO de DeepMind y pionero en IA. Discuten la grandeza de Trajano, considerado el mejor emperador romano, resaltando sus conquistas y construcciones, además de su conexión con Hispania y las dinámicas sociales de su época. Se añaden anécdotas humorísticas sobre el fútbol y absurdos del sistema de salud en EE.UU. También intercambian opiniones sobre representaciones cinematográficas de la historia, especialmente en 'Gladiador' y la estrategia política de Trajano.