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🚨 Google DeepMind CEO Sir Demis Hassabis: “Today’s systems, are nowhere near [AGI]. Doesn’t matter how many Erdős problems you solve… I think it’s far, far from what a true invention or someone like a Ramanujan would have been able to do” it’s over for the Erdős hype

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Demis Hassabis says we shouldn't treat AGI as a marketing term But as a system that exhibits all human cognitive capabilities, including physical intelligence It must go beyond solving math problems to true invention, creating new theories like Einstein or new art genres like Picasso "today's systems are nowhere near that"

Demis Hassabis says we shouldn't treat AGI as a marketing term But as a system that exhibits all human cognitive capabilities, including physical intelligence It must go beyond solving math problems to true invention, creating new theories like Einstein or new art genres like Picasso "today's systems are nowhere near that"

Haider.

18,918 views • 7 months ago

DEEPMIND CEO DEMIS HASSABIS: TRUE AGI MUST INVENT SPECIAL RELATIVITY FROM 1901 KNOWLEDGE OR CREATE GO FROM SCRATCH “CAN IT INVENT SPECIAL RELATIVITY LIKE EINSTEIN DID IN 1905? … WHAT YOU’D ACTUALLY WANT IS A FUTURE VERSION OF ALPHAGO TO BE ABLE TO INVENT GO”

DEEPMIND CEO DEMIS HASSABIS: TRUE AGI MUST INVENT SPECIAL RELATIVITY FROM 1901 KNOWLEDGE OR CREATE GO FROM SCRATCH “CAN IT INVENT SPECIAL RELATIVITY LIKE EINSTEIN DID IN 1905? … WHAT YOU’D ACTUALLY WANT IS A FUTURE VERSION OF ALPHAGO TO BE ABLE TO INVENT GO”

Vivek Sen

12,963 views • 2 months ago

Demis Hassabis disagrees with Sam Altman’s idea that we’ve already passed AGI. He believes AGI has a clear scientific meaning—not just a buzzword. True AGI should match all human cognitive abilities, not just solve tasks. That includes creating new theories, making artistic breakthroughs, and inventing like Einstein or Mozart. Today’s models, in his view, are still far from that.

Demis Hassabis disagrees with Sam Altman’s idea that we’ve already passed AGI. He believes AGI has a clear scientific meaning—not just a buzzword. True AGI should match all human cognitive abilities, not just solve tasks. That includes creating new theories, making artistic breakthroughs, and inventing like Einstein or Mozart. Today’s models, in his view, are still far from that.

Wes Roth

19,640 views • 7 months ago

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.

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.

Karl Mehta

72,911 views • 1 month ago

Google DeepMind CEO Demis Hassabis on how big AGI really is: "I sometimes quantify the coming of AGI as 10 times the industrial revolution at 10 times the speed, unfolding over a decade instead of a century. Literally today, things are a bit overhyped in AI. There couldn't be any more hype in some ways. But on the other hand, I still think it's very underappreciated how revolutionary this is going to be on the timescale of about 10 years."

Google DeepMind CEO Demis Hassabis on how big AGI really is: "I sometimes quantify the coming of AGI as 10 times the industrial revolution at 10 times the speed, unfolding over a decade instead of a century. Literally today, things are a bit overhyped in AI. There couldn't be any more hype in some ways. But on the other hand, I still think it's very underappreciated how revolutionary this is going to be on the timescale of about 10 years."

Wall St Engine

111,314 views • 4 months 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

18,568 views • 4 months ago

📁 Demis Hassabis, CEO of DeepMind, says AI is still missing critical capabilities. He explains that current systems cannot plan far ahead or reason like top human scientists, because they lack a deep model of the world. They can process text, images, and video, but they still don’t understand physics, causality, or how actions affect outcomes over time.

📁 Demis Hassabis, CEO of DeepMind, says AI is still missing critical capabilities. He explains that current systems cannot plan far ahead or reason like top human scientists, because they lack a deep model of the world. They can process text, images, and video, but they still don’t understand physics, causality, or how actions affect outcomes over time.

Jon Hernandez

63,723 views • 7 months ago

Google Deepmind CEO gives his prediction on the final AGI architecture: Demis Hassabis just sat down on 20VC and broke down exactly how DeepMind is building toward true AGI, directly pushing back on the idea that LLMs are a dead end. He defends the current trajectory of the models, noting that “we’ve seen how successful these foundation models have been. They can do incredibly impressive things. I don’t think that’s going to go away. We’re still seeing returns from the scaling laws.” But he’s honest about the missing pieces for true superintelligence, saying “I think there might be… there’s a 50-50 chance there’s some things maybe missing that we still need to make breakthroughs in, perhaps their world models, these kinds of approaches.” And when he breaks down what the actual AGI system will look like, he frames it as one question is the LLM foundation model the key component only, or is it the total system. His answer - “I don’t think it’s going to get replaced. I think it’s going to get built on top of these foundation models, just like the way we do with our world models.”

Google Deepmind CEO gives his prediction on the final AGI architecture: Demis Hassabis just sat down on 20VC and broke down exactly how DeepMind is building toward true AGI, directly pushing back on the idea that LLMs are a dead end. He defends the current trajectory of the models, noting that “we’ve seen how successful these foundation models have been. They can do incredibly impressive things. I don’t think that’s going to go away. We’re still seeing returns from the scaling laws.” But he’s honest about the missing pieces for true superintelligence, saying “I think there might be… there’s a 50-50 chance there’s some things maybe missing that we still need to make breakthroughs in, perhaps their world models, these kinds of approaches.” And when he breaks down what the actual AGI system will look like, he frames it as one question is the LLM foundation model the key component only, or is it the total system. His answer - “I don’t think it’s going to get replaced. I think it’s going to get built on top of these foundation models, just like the way we do with our world models.”

Chris

71,716 views • 4 months ago

Mistral CEO Arthur Mensch on why AGI is too simple of a concept: “There’s no such thing as one system that is going to be solving all of the problems of the world... It’s never going to exist.” “Just like you don't have any human that is able to solve every task in the world, you of course have to have some level of specialization to actually solve problems.” “We are back from magical thinking to system thinking.” “In real life enterprises are just complex systems. You can’t solve that with a single abstraction, which is AGI.” Arthur Mensch on Big Technology Podcast

Mistral CEO Arthur Mensch on why AGI is too simple of a concept: “There’s no such thing as one system that is going to be solving all of the problems of the world... It’s never going to exist.” “Just like you don't have any human that is able to solve every task in the world, you of course have to have some level of specialization to actually solve problems.” “We are back from magical thinking to system thinking.” “In real life enterprises are just complex systems. You can’t solve that with a single abstraction, which is AGI.” Arthur Mensch on Big Technology Podcast

a16z

37,667 views • 7 months ago

Demis Hassabis: "Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now. ..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. " ~ Demis Hassabis, Co-Founder and CEO of Google DeepMind It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.” --- I think the real disruption is not the precise arrival of AGI in 2030, give or take a year, but the ability of institutions to adapt. In a post-AGI world technology will evolve at a pace that outstrips the response capacity of human systems. Companies still organize work around human bottlenecks. Schools still train people for stable professions. Governments still regulate after the harm is obvious. If AGI arrives even remotely near the frontier-lab timelines, it will compress that lag into a dangerous gap. ---- From "Stanford Graduate School of Business" YouTube channel, (link in comment)

Demis Hassabis: "Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now. ..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. " ~ Demis Hassabis, Co-Founder and CEO of Google DeepMind It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.” --- I think the real disruption is not the precise arrival of AGI in 2030, give or take a year, but the ability of institutions to adapt. In a post-AGI world technology will evolve at a pace that outstrips the response capacity of human systems. Companies still organize work around human bottlenecks. Schools still train people for stable professions. Governments still regulate after the harm is obvious. If AGI arrives even remotely near the frontier-lab timelines, it will compress that lag into a dangerous gap. ---- From "Stanford Graduate School of Business" YouTube channel, (link in comment)

Rohan Paul

68,446 views • 24 days ago

THE SMARTEST MAN IN AI EXPOSED THE ENTIRE AGI NARRATIVE AS A LIE. GOOGLE DEEPMIND CEO DEMIS HASSABIS SAYS TODAY'S AI STILL CAN'T DO THE ONE THING THAT WOULD PROVE TRUE GENERAL INTELLIGENCE: CREATE A TRULY ORIGINAL IDEA. HIS TEST? TRAIN AN AI ONLY ON HUMAN KNOWLEDGE FROM 1901. THEN ASK IT TO DISCOVER EINSTEIN'S THEORY OF RELATIVITY ON ITS OWN. NO INTERNET. NO MEMORIZED ANSWER. NO HUMAN SOLUTION TO COPY. JUST PURE REASONING. NOT A SINGLE AI TODAY CAN DO IT. AGI MAY BE CLOSER THAN EVER... BUT HASSABIS SAYS WE'RE NOT THERE YET 🤯

THE SMARTEST MAN IN AI EXPOSED THE ENTIRE AGI NARRATIVE AS A LIE. GOOGLE DEEPMIND CEO DEMIS HASSABIS SAYS TODAY'S AI STILL CAN'T DO THE ONE THING THAT WOULD PROVE TRUE GENERAL INTELLIGENCE: CREATE A TRULY ORIGINAL IDEA. HIS TEST? TRAIN AN AI ONLY ON HUMAN KNOWLEDGE FROM 1901. THEN ASK IT TO DISCOVER EINSTEIN'S THEORY OF RELATIVITY ON ITS OWN. NO INTERNET. NO MEMORIZED ANSWER. NO HUMAN SOLUTION TO COPY. JUST PURE REASONING. NOT A SINGLE AI TODAY CAN DO IT. AGI MAY BE CLOSER THAN EVER... BUT HASSABIS SAYS WE'RE NOT THERE YET 🤯

Vivek Sen

58,397 views • 21 days ago

#OnlyFriendsDreamOnLive #JossGawin 🎙️: do you think it’s true that… 🎙️: before this, when we like someone, we will invite that person to go watch movie… but now we’ll invite the person we like to go hike… 🎙️: do you think it’s true? like it’s a trend? 🐧: i think it can be like that too 🐧: (blocking his face from p’leo) 🤣 🐧: do you have glasses for me to wear? 🤣

#OnlyFriendsDreamOnLive #JossGawin 🎙️: do you think it’s true that… 🎙️: before this, when we like someone, we will invite that person to go watch movie… but now we’ll invite the person we like to go hike… 🎙️: do you think it’s true? like it’s a trend? 🐧: i think it can be like that too 🐧: (blocking his face from p’leo) 🤣 🐧: do you have glasses for me to wear? 🤣

bbrie 🥑

28,945 views • 6 months ago

Demis Hassabis's new interview: "Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now. ..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. " ~ Demis Hassabis, Co-Founder and CEO of Google DeepMind It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.” --- IMO, The real disruption is not whether AGI arrives exactly in 2030, plus or minus a year, but whether institutions can adapt, as in post-AGI world, technology will change much faster than human systems can respond. Schools still train people for stable professions, companies still organize work around human bottlenecks, and governments still regulate after harm becomes visible. AGI, if it arrives anywhere near the frontier-lab timelines, compresses that lag into a dangerous gap. ---- From "Stanford Graduate School of Business" YouTube channel, (link in comment)

Demis Hassabis's new interview: "Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now. ..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. " ~ Demis Hassabis, Co-Founder and CEO of Google DeepMind It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.” --- IMO, The real disruption is not whether AGI arrives exactly in 2030, plus or minus a year, but whether institutions can adapt, as in post-AGI world, technology will change much faster than human systems can respond. Schools still train people for stable professions, companies still organize work around human bottlenecks, and governments still regulate after harm becomes visible. AGI, if it arrives anywhere near the frontier-lab timelines, compresses that lag into a dangerous gap. ---- From "Stanford Graduate School of Business" YouTube channel, (link in comment)

Rohan Paul

70,642 views • 2 months ago

Do you guys have a dream? Simon Squibb: What problem in the world would you like to solve,how about that? 🗣️: I think I would like peace for Gaza.🇵🇸 Simon Squibb: How do you think we can achieve it? Any suggestions? 🗣️: stop supplying arms to Isreal.

Do you guys have a dream? Simon Squibb: What problem in the world would you like to solve,how about that? 🗣️: I think I would like peace for Gaza.🇵🇸 Simon Squibb: How do you think we can achieve it? Any suggestions? 🗣️: stop supplying arms to Isreal.

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13,773 views • 6 months ago

Demis Hassabis, CEO of Google DeepMind: "Agents are the first step to AGI, and we're just getting started. One engineer with agents already does what took 1000 back in the 2000s." This is the shift you can't ignore anymore, unless you want to be left behind. 40 minutes of pure insight from a Nobel laureate on where AI is really headed. Watch it, then read the step by step guide for beginners on building agents below.

Demis Hassabis, CEO of Google DeepMind: "Agents are the first step to AGI, and we're just getting started. One engineer with agents already does what took 1000 back in the 2000s." This is the shift you can't ignore anymore, unless you want to be left behind. 40 minutes of pure insight from a Nobel laureate on where AI is really headed. Watch it, then read the step by step guide for beginners on building agents below.

Anatoli Kopadze

34,739 views • 1 month ago

: JoongDunk or DunkJoong? 🌻: you know guys it’s like, idk how to say it but it’s like as long as we’re together it’s fine you know. like any is fine because these are just positions right? in the end it doesn’t matter you know. it’s just a position of the series you guys, not a label. as long as we love each other that’s fine. do you guys agree? : clock it! 🌻: what do you mean clock it? i mean it’s true right? like you guys think about it like i don’t know, real life relationships? like you know try to think about it like where is the label in that? like love is love right? like why’d you have to label someone as this as that as like whatsoever. at the end of the day it’s just two people loving each other, right? #dunknatachai dunknatachai

: JoongDunk or DunkJoong? 🌻: you know guys it’s like, idk how to say it but it’s like as long as we’re together it’s fine you know. like any is fine because these are just positions right? in the end it doesn’t matter you know. it’s just a position of the series you guys, not a label. as long as we love each other that’s fine. do you guys agree? : clock it! 🌻: what do you mean clock it? i mean it’s true right? like you guys think about it like i don’t know, real life relationships? like you know try to think about it like where is the label in that? like love is love right? like why’d you have to label someone as this as that as like whatsoever. at the end of the day it’s just two people loving each other, right? #dunknatachai dunknatachai

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69,459 views • 3 months ago

Clavicular was SHOCKED after Sophie Rain said she doesn’t have any insurance at all DESPITE making over $100M a year from ØF 👀😳 “How do you not have any insurance it’s like $2,000 a month?” “I think it’s too expensive I don’t know”

Clavicular was SHOCKED after Sophie Rain said she doesn’t have any insurance at all DESPITE making over $100M a year from ØF 👀😳 “How do you not have any insurance it’s like $2,000 a month?” “I think it’s too expensive I don’t know”

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113,473 views • 2 months ago

Google's DeepMind CEO Demis Hassabis: AGI is a system that exhibits all the cognitive capabilities that humans have. The brain is the only existence proof we have that general intelligence is possible. Today’s systems are impressive — but they’re not there yet. We’ve still got at least another 5–10 years to go. AI could be the ultimate tool for accelerating scientific discovery. We can tackle disease, climate, inequality. It could be the ultimate enhancement tool for human scientists. The potential is there — if we do it the right way.

Google's DeepMind CEO Demis Hassabis: AGI is a system that exhibits all the cognitive capabilities that humans have. The brain is the only existence proof we have that general intelligence is possible. Today’s systems are impressive — but they’re not there yet. We’ve still got at least another 5–10 years to go. AI could be the ultimate tool for accelerating scientific discovery. We can tackle disease, climate, inequality. It could be the ultimate enhancement tool for human scientists. The potential is there — if we do it the right way.

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22,086 views • 6 months ago

Demis Hassabis, CEO of Google DeepMind, drops a quiet bombshell: The big question isn’t whether AI can solve problems. It’s whether AI can invent new science. Right now, it can’t. Not because of compute. Not because of data. But because it lacks something fundamental: A world model. Today’s LLMs can generate brilliant text, images, even code. But they don’t truly understand causality. They don’t know why A leads to B. They just predict patterns. Hassabis argues that real scientific discovery requires more: – Long-term planning – Stronger reasoning – And an internal model of how the world works Physics. Biology. Cause and effect. Only then can an AI run its own thought experiments. Only then do we get a true digital scientist.

Demis Hassabis, CEO of Google DeepMind, drops a quiet bombshell: The big question isn’t whether AI can solve problems. It’s whether AI can invent new science. Right now, it can’t. Not because of compute. Not because of data. But because it lacks something fundamental: A world model. Today’s LLMs can generate brilliant text, images, even code. But they don’t truly understand causality. They don’t know why A leads to B. They just predict patterns. Hassabis argues that real scientific discovery requires more: – Long-term planning – Stronger reasoning – And an internal model of how the world works Physics. Biology. Cause and effect. Only then can an AI run its own thought experiments. Only then do we get a true digital scientist.

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167,232 views • 7 months ago