CEO & Founder, Deepmind
Search every verified Demis Hassabis interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Demis Hassabis, CEO of Google DeepMind, has said he believes artificial general intelligence (AGI) could arrive around 2030, describing the current period as being in the "foothills of the singularity." He has stated that the technology will be transformative for economies and the human condition. Hassabis has also discussed the potential for AI to help cure all diseases within the next decade, citing progress at Isomorphic Labs, where he said test compounds are in pre-clinical stages. He has described the next 10 to 20 years as a potential "new golden age of scientific discovery." Hassabis has addressed concerns about AI talent retention at Google, stating that DeepMind has "by far the biggest and broadest research bench of any of the labs out there" and that the company wins its "fair share of the top talent." He has also spoken about the risks of AI, including misuse by bad actors and the technical challenges of ensuring autonomous systems remain aligned with human intent. Hassabis has advocated for international standards and cooperation on AI safety. He has also commented on the future of the web, suggesting it will change significantly with the rise of an "agent-first" model.
“around four or five years is my expectation from where we are today. So around 2030, and then when that happens, that becomes a new type of tool or system that we've never seen before and we'll need to think about how to use such a transformative piece of technology. And it's going to change everything in my opinion, e...”
“we have the most expensive energy in the western world. And the problem with that is that's going to directly translate into intelligence. It's literally watts to dollars to tokens. You cannot build our industry out. That's the new industrial base, right?”
“I think it's going to be 10 times at least of the industrial revolution. So, I think he's right. So, I think he would have been, I imagine, fascinated by where we are now.”
“I think the number one thing first of all that is to create more abundance of resources, right? Then there's the So, that's the number one thing. Increase productivity, get more resources, maybe eventually get out of the zero-sum situation. Then the second question is how to use those resources and distribute those res...”
“I've been pretty vocal for a long while that as we get closer to AGI and I think we're on the cusp of that now. I said sort of said statements like we're in the foothills of the singularity that we need a bit of more systematic approach to of course there's amazing opportunities ahead. A lot of the things you talked ab...”
“I think there's a lot of talent movement between all the leading labs and um we win our fair share of the of the top talent, but what I would say is that we have by far the biggest and broadest research bench of any of the labs out there, the leading labs out there. And um you know we continue to put out the absolute f...”
“Наша первоначальная миссия в DeepMind звучала так: шаг первый - разгадать тайну интеллекта, то есть создать AGI. Шаг второй - использовать его, чтобы решить все остальные проблемы. Так что я всегда считал AI не только самой важной технологией, которую когда-либо изобретут, но и самой интересной и как инструмент для нау...”
“Если у нас это получится, а я верю, что мы придём к этому в ближайшие несколько лет, то мы сможем сократить сроки разработки лекарств. Вместо средних 10 лет этот процесс будет занимать месяцы, возможно, недели, а когда-нибудь, может, и считанные дни. И тогда, я думаю, нам станут подвластны любые болезни.”
“Я считаю, что информация обладает точно такой же эквивалентностью. То есть можно рассматривать организацию материи, структуры и особенно такие вещи, как биология, которая сопротивляется энтропии, по сути, как системы обработки информации в своей основе. Думаю, можно конвертировать все эти три величины друг в друга, но...”
“Но, по крайней мере, на примере AlphaGo и особенно AlphaFold мы доказали, что классическая машина Тюринга, очевидно, в обличии современной нейросети, способна моделировать то, что считалось в случае со сворачиванием белка квантовой системой. ... Так что в итоге может выясниться, что многие вещи для моделирования или за...”
“Моё твёрдое убеждение заключается в том, что на этом пути к созданию AGI нам, тем, кто идёт по этой дороге, включая многих присутствующих в зале, правильнее всего сначала создать инструмент. Невероятно умный, полезный и точный инструмент. А уже затем переходить следующий рубикон, это само по себе уже фундаментальный ша...”
“So our mission at deep mind from the beginning was um uh uh we talk about building AI responsibly to benefit humanity but the way we used to articulate it when we started out was uh in a two-step process. Step one solve intelligence step two use it to solve everything else and um and this seemed very outlandish at the...”
“So I think in biology at least um I feel like we're entering a new era now of what I like to call digital biology. So you know I think of biology in its most fundamental level as an information processing system you know that's trying to resist entropy around it. And I think that's basically what life is. Um, of course...”
“I think we're in the foothills of the singularity which caused a bit of a stir but I really mean that that the sort of I can feel it if we look back in 10 years I think we'll start feeling this this period now around now next year this agentic era that Allison was mentioning which is really actually coming to the four...”
“I think we're only a few years out now. And society's had, I think, had a lot of time to sort of advance warning of this in a sense. And I think it's time for all of us to take this more seriously, not just those people building the technologies and I mean economists, social scientists, but also scientists of of the so...”
This is the lightening round from my interview with Google Founder Sergey Brin and DeepMind Founder Demis Hassabis where we cover the future of the web, the timeline for AGI, whether it's okay to use AI in job interviews, and whether we're living in a simulation. Shot at Google IO in May 2025. Watch the full interview here: • DeepMind CEO Demis Hassabis + Google Co-Fo...
We are delighted to invite you to this year’s WCIT Annual Lecture, a highlight of our calendar and a unique opportunity to hear from two of the world’s most influential voices in Artificial Intelligence. We are honoured to welcome Sir Demis Hassabis FRS, Co-Founder & CEO, Google DeepMind, and Nobel Laureate and Dame Wendy Hall FRS (the UK’s leading independent expert in this area, and Regius Professor of Computer Science, University of Southampton), for a Dialogue on the Future of AI, moderated by our Master, Gus Machado. The discussion will explore topics including: Their personal journey…
Demis Hassabis is the CEO of Google DeepMind and Nobel Prize winner for his groundbreaking work in protein structure prediction using AI. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep475-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/demis-hassabis... CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – o…
Following a string of departures among its top AI leaders, @googledeepmind CEO Demis Hassabis dismissed the notion that Google was losing its grip on leading AI talent and said he remains confident in the company’s ability to attract and retain the best people. Even as well-funded rivals and nimble startups poach its top brass, “we have by far the biggest and broadest research bench of any of the labs out there,” Hassabis told Semafor Tech Editor Reed Albergotti during an on-stage interview at the Cannes Lions Festival. “We win our fair share of the top talent.” Google’s shares tumbled as…
Demis Hassabis, co-founder and CEO of Google DeepMind and 2024 Nobel Prize laureate in Chemistry for AlphaFold, joins Sequoia ...
This 60-minute Cambridge lecture by Demis Hassabis will teach you more about the future of AI than most people will learn in the ...
Demis Hassabis, Alison Noble and Paul Nurse discuss how the scientific community can get the best out of AI. #ai #tech #science #chemisrty #nobelprize AI has already contributed to applications across all STEM fields. This Nobel Prize Dialogue looks at the ways that AI might transform science in the future. Event organised by @NobelPrize Outreach and hosted at the Royal Society. Demis Hassabis, Alison Noble and Paul Nurse joined us to discuss how the scientific community can get the best out of AI. Nobel Prize Dialogue in partnership with the Royal Society. Nobel International Par…
Subscribe 🌎 Demis Hassabis is the co-founder and CEO of Google DeepMind and Isomorphic Labs. He believes AI will help cure every disease on Earth within a decade. The day after he closed the Google I/O keynote, his team invited me to Mountain View to interview him about the Future of AI at Google Deepmind. We get into Gemini for Science, his AlphaFold work he was awarded the Nobel Prize for, and how Google DeepMind aims to cure every disease within the next decade. Demis also discusses his answers on the AGI timeline, AI’s potential in curing cancer and Alzheimer's, and why he believes t…
The extraordinary Demis Hassabis on what comes next, and how AI will unlock a future we’ve never seen before! Demis, thank you so much for coming on The Next Big Thing! You're so much fun and so brilliant and it was my deepest honor and privilege to spend time with you! Left feeling AMPED Thank you so much to my world class team who helped bring this video to life - I'm so grateful for you, and I can't wait to keep making things together! NBT Community you are the reason all of these extraordinary things happen, and the reason I'm so excited to make videos - thank you for being here…
AI@GSB, the Dean's Applied AI initiative at the Stanford Graduate School of Business (GSB), and Stanford Medical School hosted a conversation with Demis Hassabis, Co-founder and CEO of Google DeepMind, on the frontier of artificial intelligence and what it means for how we live, work, and flourish. Introduced by GSB Dean Sarah Soule and moderated by Stanford President Jonathan Levin, the discussion ranged from the science behind today's AI breakthroughs, the path toward more general intelligence, and the responsibilities that come with building technology of this scale. Hassabis reflected on…
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