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Demis on the breakthroughs needed for AGI. It is not many. Predict Google DeepMind has Continual Learning before 2026 is finished, and likely other labs too.

Dan McAteer

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37,271 views • 5 months ago •via X (Twitter)

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AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)

AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)

Rohan Paul

36,646 views • 4 months ago

Demis confirmed DeepMind hasn’t cracked continual learning. There were rumors on X that Google DeepMind had solved it. Not true. They’re experimenting with blending AlphaZero with large foundation models to see if it can scale and generalize to the real world, not just games.

Demis confirmed DeepMind hasn’t cracked continual learning. There were rumors on X that Google DeepMind had solved it. Not true. They’re experimenting with blending AlphaZero with large foundation models to see if it can scale and generalize to the real world, not just games.

Yuchen Jin

75,633 views • 5 months ago

Continual Learning in 2026. And AGI with it? In July, Dario said he believes Continual Learning will turn out to be not as difficult as it seems. Sholto Douglas, Anthropic and former Deepmind researcher, predicted Continual Learning gets solved in a satisfying way in 2026. Sholto said that last week. Considering how capable AI models have become in 2025, it is unwise to dismiss this as fundraising or hype. It is much wiser to assume AGI is coming. That it will change the world. And that you can benefit from it... ...than it is to assume the opposite. "Not enough people are ready for AI to not be a bubble." - roon Choose wisely my friends.

Continual Learning in 2026. And AGI with it? In July, Dario said he believes Continual Learning will turn out to be not as difficult as it seems. Sholto Douglas, Anthropic and former Deepmind researcher, predicted Continual Learning gets solved in a satisfying way in 2026. Sholto said that last week. Considering how capable AI models have become in 2025, it is unwise to dismiss this as fundraising or hype. It is much wiser to assume AGI is coming. That it will change the world. And that you can benefit from it... ...than it is to assume the opposite. "Not enough people are ready for AI to not be a bubble." - roon Choose wisely my friends.

Dan McAteer

69,496 views • 6 months ago

How close is DeepMind to achieving AGI? Demis Hassabis says: We are on track and DeepMind targets AGI completion by 2030 but I wouldn't be surprised if it arrives in the next decade.

How close is DeepMind to achieving AGI? Demis Hassabis says: We are on track and DeepMind targets AGI completion by 2030 but I wouldn't be surprised if it arrives in the next decade.

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Google DeepMind CEO Demis Hassabis: AGI will be 10x bigger than the industrial revolution and 10x faster. To reiterate: I think we will see the first significant changes in many scientific fields in 2026.

Google DeepMind CEO Demis Hassabis: AGI will be 10x bigger than the industrial revolution and 10x faster. To reiterate: I think we will see the first significant changes in many scientific fields in 2026.

Chubby♨️

36,752 views • 6 months ago

AGI *will* arrive in 2026. The final missing piece is Continual Learning. The following AI Leaders have stated they believe Continual Learning will be solved this year: > Shane Legg > Dario Amodei > Sholto Douglas Rumor is GDM has it but needs guradrails. Prepare yourself.

AGI will arrive in 2026. The final missing piece is Continual Learning. The following AI Leaders have stated they believe Continual Learning will be solved this year: > Shane Legg > Dario Amodei > Sholto Douglas Rumor is GDM has it but needs guradrails. Prepare yourself.

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Google DeepMind CEO, Demis Hassabis: AGI is now at the edge of the singularity. Cyber is only the first warning shot. Bio and nuclear risks may come within 2 years. "That's just a warning shot for humanity." AGI safety now needs global standards.

Google DeepMind CEO, Demis Hassabis: AGI is now at the edge of the singularity. Cyber is only the first warning shot. Bio and nuclear risks may come within 2 years. "That's just a warning shot for humanity." AGI safety now needs global standards.

Jon Hernandez

43,107 views • 19 days ago

Demis Hassabis says we may not have enough time to prepare for AGI. Yet he helped accelerate the field by openly publishing breakthroughs like transformers and AlphaGo. What’s changed is asymmetry. A few labs give. Many others just take. “That’s a little bit unsustainable over the long term.”

Demis Hassabis says we may not have enough time to prepare for AGI. Yet he helped accelerate the field by openly publishing breakthroughs like transformers and AlphaGo. What’s changed is asymmetry. A few labs give. Many others just take. “That’s a little bit unsustainable over the long term.”

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55,832 views • 5 months ago

Demis Hassabis: AGI is on the horizon, it is within our grasp; our societies must prepare for this unprecedented change! If Demis is speaking so clearly about AGI, then it really is in the immediate vicinity.

Demis Hassabis: AGI is on the horizon, it is within our grasp; our societies must prepare for this unprecedented change! If Demis is speaking so clearly about AGI, then it really is in the immediate vicinity.

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DeepMind CEO and Nobel Laureate Demis Hassabis' advice to students on the most needed skill for the next generation.

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49,530 views • 10 months ago

He just been jointly awarded the Nobel prize for chemistry, Google DeepMind CEO Demis Hassabis’s company has developed AI which can predict the structure of proteins, it could have a big effect on healthcare. Earlier this year I spoke to him about AI’s future.

He just been jointly awarded the Nobel prize for chemistry, Google DeepMind CEO Demis Hassabis’s company has developed AI which can predict the structure of proteins, it could have a big effect on healthcare. Earlier this year I spoke to him about AI’s future.

Marc Cieslak

22,231 views • 1 year ago

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

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

Karl Mehta

45,342 views • 2 days ago

.Google DeepMind CEO Demis Hassabis joins Logan Kilpatrick on Release Notes to chat about the momentum of AI development, world models like Genie 3, improved model evaluations through Game Arena with @Kaggle, and the quest for AGI.

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20,468 views • 11 months ago

Google DeepMind CEO Demis Hassabis: — We don't know how to contain an AGI — We don't know how to test for dangerous AI capabilities — We should cooperate internationally and build an AI CERN to ensure AI is developed safely

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2,120,056 views • 1 year ago

🚨 BREAKING: Google DeepMind CEO Demis Hassabis says AGI could arrive by 2030. And the impact will go far beyond software. Drug discovery could shrink from 10+ years to days AI may unlock entirely new scientific breakthroughs. At AI Ascent 2026, Demis Hassabis outlined what’s coming next: But he also made one thing clear: Today’s AI is still limited. And the next 1–2 years will be critical in shaping what happens next. The bigger shift: Watch the full talk below:

🚨 BREAKING: Google DeepMind CEO Demis Hassabis says AGI could arrive by 2030. And the impact will go far beyond software. Drug discovery could shrink from 10+ years to days AI may unlock entirely new scientific breakthroughs. At AI Ascent 2026, Demis Hassabis outlined what’s coming next: But he also made one thing clear: Today’s AI is still limited. And the next 1–2 years will be critical in shaping what happens next. The bigger shift: Watch the full talk below:

Atal

18,433 views • 2 months ago

Still incredible that the DeepMind documentary has footage of exact moment Demis is told that AlphaFold can “easily” predict all known (1-2B) protein sequences “in a month” and he says to do it. Then, it shows the moment AlphaFold is released to the world.

Still incredible that the DeepMind documentary has footage of exact moment Demis is told that AlphaFold can “easily” predict all known (1-2B) protein sequences “in a month” and he says to do it. Then, it shows the moment AlphaFold is released to the world.

Trung Phan

1,324,273 views • 2 months ago

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.

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.

Wes Roth

53,450 views • 5 months ago

Finally, someone who isn't afraid to tell the truth: Demis Hassabis, CEO of $GOOG DeepMind, says Artificial General Intelligence (AGI) is still 5 to 10 years away before real progress is made. Eric Schmidt, former Google CEO, has made similar predictions, 5 to 7 years away... But as usual, the market expects results in 3 years...

Finally, someone who isn't afraid to tell the truth: Demis Hassabis, CEO of $GOOG DeepMind, says Artificial General Intelligence (AGI) is still 5 to 10 years away before real progress is made. Eric Schmidt, former Google CEO, has made similar predictions, 5 to 7 years away... But as usual, the market expects results in 3 years...

Bourbon Capital

76,459 views • 7 months ago

Google DeepMind CEO Demis Hassabis says we’re in the ‘foothills of the singularity’ I sat down with him to talk about what that means, curing every disease, and human meaning post-AGI: 0:00 Intro 0:45 What Demis is most excited about at I/O 1:46 Have AGI timelines shifted? 3:30 What's still missing before AGI 6:50 AI curing every disease 9:19 What diseases get cured first? 10:50 What Demis works on after AGI 11:48 Human meaning after AGI 13:50 The human skills that get more valuable 15:19 What's underhyped in AI right now

Google DeepMind CEO Demis Hassabis says we’re in the ‘foothills of the singularity’ I sat down with him to talk about what that means, curing every disease, and human meaning post-AGI: 0:00 Intro 0:45 What Demis is most excited about at I/O 1:46 Have AGI timelines shifted? 3:30 What's still missing before AGI 6:50 AI curing every disease 9:19 What diseases get cured first? 10:50 What Demis works on after AGI 11:48 Human meaning after AGI 13:50 The human skills that get more valuable 15:19 What's underhyped in AI right now

Rowan Cheung

118,016 views • 1 month ago

The most skilled guy in the AI industry just said we're 1-2 breakthroughs away from AGI. And he explained exactly what's missing. Demis Hassabis runs Google DeepMind. He won the Nobel Prize in Chemistry last year. He's literally the reason why Google is considered the leader of the AI race. And he just dropped the most specific AGI timeline ever: "One or two AlphaGo-level technological breakthroughs." That's it. That's all standing between us and artificial general intelligence. But here's the thing... LLMs are NOT going to get us there. ChatGPT, Gemini, Claude - they're all hitting the same wall. They can't plan long-term. Can't create NEW ideas. Can't understand physics. Demis called them "jagged intelligences. Very good at certain things. Completely incapable of others." You've felt this yourself. You've felt this yourself. You ask ChatGPT a complex question and it sounds smart. But ask it to solve something that requires REASONING across multiple steps? It falls apart. So what ARE the 2 breakthroughs we need? Breakthrough #1: World Models AI that understands how physics actually works. How water flows. How cause and effect works. DeepMind already has early versions (Genie, Veo). The insight: If AI can GENERATE something realistic, it UNDERSTANDS it. This is the foundation for robotics and AI that interacts with reality. Breakthrough #2: Agentic Systems AI that can DO things. Not just answer questions. Plan multiple steps. Execute autonomously. Adjust when wrong. DeepMind proved this with AlphaGo in 2016 - planning 20+ moves ahead to beat the world champion. Now they're generalizing it to the real world. And here's the most interesting part: Demis says these two things are starting to CONVERGE. LLMs + World Models + Agentic Behavior = AGI And when I say converge, I mean Google is already building it. They're setting up the first fully automated scientific laboratory in the UK. No humans running experiments. AI designs the test. Robots execute it. AI analyzes results. AI adjusts and iterates. The lab will work on: → Room-temperature superconductors → Nuclear fusion materials → New battery chemistries → Climate tech breakthroughs Demis's logic is simple: "If AI can screen materials 100X faster, the energy revolution takes 10 years instead of 100." But here's the scary part: China is MONTHS behind. Not years. "They're very close to the frontier. Maybe only months behind." DeepSeek. Alibaba's Qwen models. They're catching up fast. And unlike what people thought, they're doing it WITHOUT access to the most advanced Nvidia chips. The window for the West to lead in AGI is shrinking. The economic impact? Demis: "10 times bigger than the Industrial Revolution. And maybe 10 times faster." Industrial Revolution took 100+ years and reshaped civilization. This will be 10X bigger in 1/10th the time. Mass job displacement. Economic restructuring. New industries overnight. But also: → Curing all disease → Solving climate change → Unlimited clean energy → "Radical abundance" Demis is betting DeepMind can get there first. Google spent $400 million on DeepMind in 2014. That stake is now worth 100s of billions. Because DeepMind is now the "engine room" of ALL of Google's AI. Every Gemini model. Every AI feature in Search, Gmail, Workspace. All built by DeepMind. Shipped across Google's dozens of billion-user products instantly. That distribution is their superpower. The final thing Demis said that stuck with me: "AGI is probably the most transformative moment in human history. And it's on the horizon." One or two breakthroughs and 5 years away. According to the most skilled guy in the industry.

The most skilled guy in the AI industry just said we're 1-2 breakthroughs away from AGI. And he explained exactly what's missing. Demis Hassabis runs Google DeepMind. He won the Nobel Prize in Chemistry last year. He's literally the reason why Google is considered the leader of the AI race. And he just dropped the most specific AGI timeline ever: "One or two AlphaGo-level technological breakthroughs." That's it. That's all standing between us and artificial general intelligence. But here's the thing... LLMs are NOT going to get us there. ChatGPT, Gemini, Claude - they're all hitting the same wall. They can't plan long-term. Can't create NEW ideas. Can't understand physics. Demis called them "jagged intelligences. Very good at certain things. Completely incapable of others." You've felt this yourself. You've felt this yourself. You ask ChatGPT a complex question and it sounds smart. But ask it to solve something that requires REASONING across multiple steps? It falls apart. So what ARE the 2 breakthroughs we need? Breakthrough #1: World Models AI that understands how physics actually works. How water flows. How cause and effect works. DeepMind already has early versions (Genie, Veo). The insight: If AI can GENERATE something realistic, it UNDERSTANDS it. This is the foundation for robotics and AI that interacts with reality. Breakthrough #2: Agentic Systems AI that can DO things. Not just answer questions. Plan multiple steps. Execute autonomously. Adjust when wrong. DeepMind proved this with AlphaGo in 2016 - planning 20+ moves ahead to beat the world champion. Now they're generalizing it to the real world. And here's the most interesting part: Demis says these two things are starting to CONVERGE. LLMs + World Models + Agentic Behavior = AGI And when I say converge, I mean Google is already building it. They're setting up the first fully automated scientific laboratory in the UK. No humans running experiments. AI designs the test. Robots execute it. AI analyzes results. AI adjusts and iterates. The lab will work on: → Room-temperature superconductors → Nuclear fusion materials → New battery chemistries → Climate tech breakthroughs Demis's logic is simple: "If AI can screen materials 100X faster, the energy revolution takes 10 years instead of 100." But here's the scary part: China is MONTHS behind. Not years. "They're very close to the frontier. Maybe only months behind." DeepSeek. Alibaba's Qwen models. They're catching up fast. And unlike what people thought, they're doing it WITHOUT access to the most advanced Nvidia chips. The window for the West to lead in AGI is shrinking. The economic impact? Demis: "10 times bigger than the Industrial Revolution. And maybe 10 times faster." Industrial Revolution took 100+ years and reshaped civilization. This will be 10X bigger in 1/10th the time. Mass job displacement. Economic restructuring. New industries overnight. But also: → Curing all disease → Solving climate change → Unlimited clean energy → "Radical abundance" Demis is betting DeepMind can get there first. Google spent $400 million on DeepMind in 2014. That stake is now worth 100s of billions. Because DeepMind is now the "engine room" of ALL of Google's AI. Every Gemini model. Every AI feature in Search, Gmail, Workspace. All built by DeepMind. Shipped across Google's dozens of billion-user products instantly. That distribution is their superpower. The final thing Demis said that stuck with me: "AGI is probably the most transformative moment in human history. And it's on the horizon." One or two breakthroughs and 5 years away. According to the most skilled guy in the industry.

Ricardo

216,992 views • 5 months ago