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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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38,011 次观看 • 8 个月前 •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

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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

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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 次观看 • 9 个月前

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♨️

36,789 次观看 • 8 个月前

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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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.”

vitrupo

55,832 次观看 • 7 个月前

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.

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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.

Chubby♨️

90,250 次观看 • 9 个月前

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

22,285 次观看 • 1 年前

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

47,040 次观看 • 2 个月前

“AI will force us to redesign school.” Demis Hassabis, CEO of Google DeepMind, says AI should teach knowledge while classrooms develop human skills. Education shifts from standardized instruction to personalized learning, creativity, judgment, and collaboration. AI does not replace school. It changes what school is for.

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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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ControlAI

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🚨 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

18,568 次观看 • 4 个月前

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

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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.

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 次观看 • 7 个月前

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 次观看 • 9 个月前

📁 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.

📁 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.

Jon Hernandez

30,908 次观看 • 10 个月前