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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.

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Dan McAteer

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36,625 просмотров • 4 месяцев назад •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)
0:59

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 просмотров • 3 месяцев назад

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.
1:27

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 просмотров • 4 месяцев назад

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.
0:26

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 просмотров • 5 месяцев назад

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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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.

Haider.

94,348 просмотров • 1 год назад

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.
0:36

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♨️

36,710 просмотров • 5 месяцев назад

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.
0:21

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.

Dan McAteer

27,228 просмотров • 4 месяцев назад

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.”
1:24

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

55,753 просмотров • 4 месяцев назад

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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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♨️

90,167 просмотров • 6 месяцев назад

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

mitsuri

49,530 просмотров • 9 месяцев назад

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.
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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

22,161 просмотров • 1 год назад

Demis Hassabis says achieving AGI will require both incremental improvements (scaling and pre-training) and entirely new breakthroughs DeepMind works on both: pushing hard on scaling while exploring experimental research. Research like AlphaEvolve could lead to big leaps, similar to past breakthroughs like Transformers or AlphaGo
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Demis Hassabis says achieving AGI will require both incremental improvements (scaling and pre-training) and entirely new breakthroughs DeepMind works on both: pushing hard on scaling while exploring experimental research. Research like AlphaEvolve could lead to big leaps, similar to past breakthroughs like Transformers or AlphaGo

Haider.

24,252 просмотров • 1 год назад

.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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.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.

Google AI Developers

20,468 просмотров • 10 месяцев назад

Making AI learning AGI-capable: continual learning, transfer learning, lifelong learning.
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Making AI learning AGI-capable: continual learning, transfer learning, lifelong learning.

Ben Goertzel

17,177 просмотров • 1 месяц назад

CEO of Google Deepmind Demis when asked about AGI: “50% chance by 2030” I agree with his definition for AGI as well — being as cognitively capable as any human in any task
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CEO of Google Deepmind Demis when asked about AGI: “50% chance by 2030” I agree with his definition for AGI as well — being as cognitively capable as any human in any task

Chris

104,003 просмотров • 10 месяцев назад

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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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

ControlAI

2,120,019 просмотров • 1 год назад

🚨 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:
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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:

Atal

18,091 просмотров • 1 месяц назад

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.
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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

1,323,217 просмотров • 1 месяц назад

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.

Wes Roth

53,450 просмотров • 4 месяцев назад

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...
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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 просмотров • 6 месяцев назад

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
16:40

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

112,870 просмотров • 18 дней назад