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FT Exclusive: Google DeepMind chief Sir Demis Hassabis has warned that exuberance in parts of the AI industry looks increasingly 'bubble-like', while arguing that its scale and technology leave the Big Tech group well placed for any potential reckoning.

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Financial Times

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What’s in place to stop bad actors from using tech and AI to design harmful pathogens? Google DeepMind’s co-founder and CEO Demis Hassabis speaks to the FT’s Roula Khalaf, detailing all the precautions DeepMind is taking to ensure its biotech is more beneficial than not.
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What’s in place to stop bad actors from using tech and AI to design harmful pathogens? Google DeepMind’s co-founder and CEO Demis Hassabis speaks to the FT’s Roula Khalaf, detailing all the precautions DeepMind is taking to ensure its biotech is more beneficial than not.

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“I’d love wormholes to be possible.” 🌀 In episode 1 of Google DeepMind: The Podcast, Demis Hassabis joined host Hannah Fry to discuss the potential for AGI to explore the quantum world, probe the Planck scale, and perhaps even discover wormholes. 🤯 →
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“I’d love wormholes to be possible.” 🌀 In episode 1 of Google DeepMind: The Podcast, Demis Hassabis joined host Hannah Fry to discuss the potential for AGI to explore the quantum world, probe the Planck scale, and perhaps even discover wormholes. 🤯 →

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Google DeepMind CEO Demis Hassabis on AI bubble, from his new interview yesterday. Says some AI startups with tens of billions of valuations are wildly overpriced — and a correction may come. AI is overhyped in the short term, underappreciated in the medium to long term. An “AI bubble” exists in parts of the ecosystem, especially seed stage startups raising at tens of billions in valuation before proving anything, which he sees as unsustainable. However, he differentiates that from big tech, where he thinks there is real business value behind the valuations, though outcomes still depend on execution. Booms and corrections are normal for transformative tech, similar to the internet and mobile cycles. --- From 'Google DeepMind and Hannah Fry' YT channel (full link in comment)
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Google DeepMind CEO Demis Hassabis on AI bubble, from his new interview yesterday. Says some AI startups with tens of billions of valuations are wildly overpriced — and a correction may come. AI is overhyped in the short term, underappreciated in the medium to long term. An “AI bubble” exists in parts of the ecosystem, especially seed stage startups raising at tens of billions in valuation before proving anything, which he sees as unsustainable. However, he differentiates that from big tech, where he thinks there is real business value behind the valuations, though outcomes still depend on execution. Booms and corrections are normal for transformative tech, similar to the internet and mobile cycles. --- From 'Google DeepMind and Hannah Fry' YT channel (full link in comment)

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Demis Hassabis says some parts of AI industry are in a bubble, like $50 billion seed rounds aren't sustainable But AI is the most transformative technology ever, so in the fullness of time, the valuations will be justified My job is to make sure we win whether the bubble bursts or keeps inflating
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Demis Hassabis says some parts of AI industry are in a bubble, like $50 billion seed rounds aren't sustainable But AI is the most transformative technology ever, so in the fullness of time, the valuations will be justified My job is to make sure we win whether the bubble bursts or keeps inflating

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Demis Hassabis says the hardest part isn't the technology — it's that human brains think linearly, while AI is an exponential technology But the one advantage we have is that everyone can use it now "that familiarity is what prepares us for the scale of what's coming"
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“Can I tell you what I would like for Christmas… 20 global scale technology companies in Europe, including the UK” Former Chief of MI6 Sir Alex Younger says that America's ‘edge comes from its innovation and its tech’ and the UK needs to ‘get on with it’ #Peston
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“Can I tell you what I would like for Christmas… 20 global scale technology companies in Europe, including the UK” Former Chief of MI6 Sir Alex Younger says that America's ‘edge comes from its innovation and its tech’ and the UK needs to ‘get on with it’ #Peston

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“Scientific progress is becoming computable.” DeepMind CEO Demis Hassabis says AI is becoming a scientific infrastructure layer, not just a productivity tool. At Google I/O, he introduced Gemini for Science: a new set of AI systems designed to help researchers read papers, write code, and generate hypotheses faster. The real shift is that research itself is starting to scale like software.
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📁 Demis Hassabis, CEO of DeepMind, says AI could be the most beneficial technology humanity has ever created. He explains that its potential includes curing diseases, accelerating drug discovery, and solving core biological problems, as seen with AlphaFold and Isomorphic. But he warns the outcome is not guaranteed. He compares it to an Industrial Revolution ten times bigger and ten times faster, bringing massive transformation and unavoidable disruption.
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📁 Demis Hassabis, CEO of DeepMind, says AI could be the most beneficial technology humanity has ever created. He explains that its potential includes curing diseases, accelerating drug discovery, and solving core biological problems, as seen with AlphaFold and Isomorphic. But he warns the outcome is not guaranteed. He compares it to an Industrial Revolution ten times bigger and ten times faster, bringing massive transformation and unavoidable disruption.

Jon Hernandez

21,888 просмотров • 7 месяцев назад

📁 Demis Hassabis, CEO of Google DeepMind, says Gemini 3 is progressing exactly as expected and remains the fastest advancing project in the industry. He adds that more gains in reasoning, memory and world models are needed to reach fully consistent general intelligence. He expects one or two major breakthroughs and another five to ten years of development.
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📁 Demis Hassabis, CEO of Google DeepMind, says Gemini 3 is progressing exactly as expected and remains the fastest advancing project in the industry. He adds that more gains in reasoning, memory and world models are needed to reach fully consistent general intelligence. He expects one or two major breakthroughs and another five to ten years of development.

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30,907 просмотров • 9 месяцев назад

Demis Hassabis explains Isomorphic Labs' 10x drug discovery engine, and why solving disease could also create a multi-hundred-billion-dollar business "If you ask me, the number one thing AI can do for humanity, it would be to solve hundreds of terrible diseases. I can't imagine a better use case for AI." "If you could revolutionize the drug discovery process, make it 10x faster and more efficient, and more likely to pass through the clinical trials because you can predict the properties better, that has to also be of enormous commercial value too." "I hope to do both with Isomorphic." "Build a multi-hundred-billion-dollar business. I think it has that potential, as well as being incredibly beneficial for society and humanity." The real health AI prize is not another chatbot. It is compressing the path from a predicted drug property to a clinical trial, then turning that speed into treatments for hundreds of diseases. Demis is making a rare dual bet: the most valuable AI company in biology may also deliver AI's most valuable public benefit. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind and founder of Isomorphic Labs, on Bloomberg TV
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Demis Hassabis explains Isomorphic Labs' 10x drug discovery engine, and why solving disease could also create a multi-hundred-billion-dollar business "If you ask me, the number one thing AI can do for humanity, it would be to solve hundreds of terrible diseases. I can't imagine a better use case for AI." "If you could revolutionize the drug discovery process, make it 10x faster and more efficient, and more likely to pass through the clinical trials because you can predict the properties better, that has to also be of enormous commercial value too." "I hope to do both with Isomorphic." "Build a multi-hundred-billion-dollar business. I think it has that potential, as well as being incredibly beneficial for society and humanity." The real health AI prize is not another chatbot. It is compressing the path from a predicted drug property to a clinical trial, then turning that speed into treatments for hundreds of diseases. Demis is making a rare dual bet: the most valuable AI company in biology may also deliver AI's most valuable public benefit. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind and founder of Isomorphic Labs, on Bloomberg TV

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Demis Hassabis reveals Google's three-stage stack rewrite: AI first, model first, agent first. Bolting agents onto normal software does not scale to billions. "We've got to, we've done a lot of engineering work under the hood in the last year, which you'll see, you see the surface of when we announced things like this." "But actually, you can almost think that whole stack had to be rewritten to be sort of AI first, model first, and now agent first." "So that's quite a big change from like normal software." "And obviously there's all this huge infrastructure that serves billions of users every day at lightning speed and that's all gonna work." "And I think we've made massive improvements on that over the past year. And that's why you can see all the goodness of the AI models flowing through into our product surfaces so quickly and in such compelling ways." Most companies are adding an agent interface to yesterday's software. Demis says Google changed the substrate itself. The moat may not be the model. It may be the infrastructure that lets the model reach billions of users every day without breaking. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, with Rowan Cheung at Google I/O 2026
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Demis Hassabis reveals Google's three-stage stack rewrite: AI first, model first, agent first. Bolting agents onto normal software does not scale to billions. "We've got to, we've done a lot of engineering work under the hood in the last year, which you'll see, you see the surface of when we announced things like this." "But actually, you can almost think that whole stack had to be rewritten to be sort of AI first, model first, and now agent first." "So that's quite a big change from like normal software." "And obviously there's all this huge infrastructure that serves billions of users every day at lightning speed and that's all gonna work." "And I think we've made massive improvements on that over the past year. And that's why you can see all the goodness of the AI models flowing through into our product surfaces so quickly and in such compelling ways." Most companies are adding an agent interface to yesterday's software. Demis says Google changed the substrate itself. The moat may not be the model. It may be the infrastructure that lets the model reach billions of users every day without breaking. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, with Rowan Cheung at Google I/O 2026

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Demis Hassabis looks to history to steer the future. Oppenheimer and von Neumann warned of technologies that outpaced our ability to govern them. Now he's calling for new institutions: > A new kind of CERN > An IAEA for AI - to monitor rogue development > A “technical UN” - a wise council that represents the world
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Demis Hassabis looks to history to steer the future. Oppenheimer and von Neumann warned of technologies that outpaced our ability to govern them. Now he's calling for new institutions: > A new kind of CERN > An IAEA for AI - to monitor rogue development > A “technical UN” - a wise council that represents the world

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Demis Hassabis reveals the 100,000-person synthetic country that took years to hand-code, and says AI may now generate it "We tried to simulate a whole country with 100,000 living, breathing people sort of going about their daily lives and all the politics of it" "And you were supposed to create a revolution" "So it was a pretty ambitious game that we had to write by hand" "And what's amazing now, and it took years" "But what's amazing now is that we might be close to this possibility of actually just sort of generating that" The leap is not better graphics. It is the cost curve of simulation: from years of hand-coding one world to asking a model to generate it. That turns synthetic societies from bespoke software projects into a reusable AI primitive. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, at Semafor Tech
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Demis Hassabis reveals the 100,000-person synthetic country that took years to hand-code, and says AI may now generate it "We tried to simulate a whole country with 100,000 living, breathing people sort of going about their daily lives and all the politics of it" "And you were supposed to create a revolution" "So it was a pretty ambitious game that we had to write by hand" "And what's amazing now, and it took years" "But what's amazing now is that we might be close to this possibility of actually just sort of generating that" The leap is not better graphics. It is the cost curve of simulation: from years of hand-coding one world to asking a model to generate it. That turns synthetic societies from bespoke software projects into a reusable AI primitive. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, at Semafor Tech

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Demis Hassabis believes classical AI is enough for drug discovery, like AlphaFold has shown. But quantum computers may shine in material science, where data is scarce. They could simulate complex materials like superconductors or solar panels. DeepMind is actively exploring this frontier for breakthroughs in energy and tech. Quantum simulations might generate the missing data needed for major inventions.
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Demis Hassabis believes classical AI is enough for drug discovery, like AlphaFold has shown. But quantum computers may shine in material science, where data is scarce. They could simulate complex materials like superconductors or solar panels. DeepMind is actively exploring this frontier for breakthroughs in energy and tech. Quantum simulations might generate the missing data needed for major inventions.

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Demis Hassabis, CEO of Google DeepMind and Nobel laureate, says the AGI definition the industry uses is too low a bar. His Einstein test: train a system on a 1901 knowledge cutoff and ask it to invent special relativity. "The human brain is the only existence proof we have that general intelligence is even possible." "That's a pretty high bar, and it means that it's probably higher bar than just being able to do some useful economic work." "The type of test I would have is like an Einstein test of, you know, let's train one of these systems with a 1901 knowledge cutoff. Can it invent special relativity like Einstein did in 1905?" "What you'd actually want is something a future version of AlphaGo to be able to invent Go, right? Invent a game as deep and as complex and elegant and as beautiful as Go, not just come up with a strategy within the game." "I don't think today's systems are yet capable of doing that, but I think they will be able to in the future." - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, on The Next Big Thing.
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Demis Hassabis, CEO of Google DeepMind and Nobel laureate, says the AGI definition the industry uses is too low a bar. His Einstein test: train a system on a 1901 knowledge cutoff and ask it to invent special relativity. "The human brain is the only existence proof we have that general intelligence is even possible." "That's a pretty high bar, and it means that it's probably higher bar than just being able to do some useful economic work." "The type of test I would have is like an Einstein test of, you know, let's train one of these systems with a 1901 knowledge cutoff. Can it invent special relativity like Einstein did in 1905?" "What you'd actually want is something a future version of AlphaGo to be able to invent Go, right? Invent a game as deep and as complex and elegant and as beautiful as Go, not just come up with a strategy within the game." "I don't think today's systems are yet capable of doing that, but I think they will be able to in the future." - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, on The Next Big Thing.

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Demis Hassabis describes a surreal setup: one AI playing inside the mind of another DeepMind SIMA agent can now operate within Genie 3 -- taking actions in a world that Genie generates in real time "an AI creates the world, another acts inside it" this setup could unlock unlimited training data for robotics and AGI
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Demis Hassabis describes a surreal setup: one AI playing inside the mind of another DeepMind SIMA agent can now operate within Genie 3 -- taking actions in a world that Genie generates in real time "an AI creates the world, another acts inside it" this setup could unlock unlimited training data for robotics and AGI

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🇵🇸“I’m a Google software engineer, and I refuse to build technology that powers genocide.” A pro-Palestine Google Cloud engineer disrupted the managing director of Google Israel, Barak Regev, while he was speaking at an Israeli tech industry conference in New York called Mind the Tech on March 4, 2024.

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🚨 THIS IS HOW THE AI BUBBLE WILL BREAK THE S&P 500 Microsoft gave OpenAI $13B. OpenAI sent it back through Azure. Microsoft booked it as revenue. Google committed $40B to Anthropic. Anthropic agreed to send it back through Google Cloud and chips. They all call this loop “revenue.” Let's connect the dots: - Big Tech invests in the AI. - The AI buys Big Tech cloud. - Big Tech reports AI growth. - AI valuations explode. And Wall Street calls it demand. Ray Dalio warned that late-stage bubbles are driven by loops. That is what this looks like now. The technology is real. But the money is moving in circles. When holders finally ask how much of this “AI demand” is real, the bubble will burst. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

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🚨 THIS IS HOW THE AI BUBBLE WILL BREAK THE S&P 500 Microsoft gave OpenAI $13B. OpenAI sent it back through Azure. Microsoft booked it as revenue. Google committed $40B to Anthropic. Anthropic agreed to send it back through Google Cloud and chips. They all call this loop “revenue.” Let's connect the dots: - Big Tech invests in the AI. - The AI buys Big Tech cloud. - Big Tech reports AI growth. - AI valuations explode. And Wall Street calls it demand. Ray Dalio warned that late-stage bubbles are driven by loops. That is what this looks like now. The technology is real. But the money is moving in circles. When holders finally ask how much of this “AI demand” is real, the bubble will burst. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.
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🚨 THIS IS HOW THE AI BUBBLE WILL BREAK THE S&P 500 Microsoft gave OpenAI $13B. OpenAI sent it back through Azure. Microsoft booked it as revenue. Google committed $40B to Anthropic. Anthropic agreed to send it back through Google Cloud and chips. They all call this loop “revenue.” Let's connect the dots: - Big Tech invests in the AI. - The AI buys Big Tech cloud. - Big Tech reports AI growth. - AI valuations explode. And Wall Street calls it demand. Ray Dalio warned that late-stage bubbles are driven by loops. That is what this looks like now. The technology is real. But the money is moving in circles. When holders finally ask how much of this “AI demand” is real, the bubble will burst. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

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