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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,...

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The CEO of Google DeepMind just went on record saying he disagrees with one of the most respected AI researchers in the world. Demis Hassabis, the man behind AlphaFold, AlphaGo, and Google's entire AI operation publicly pushed back against Yann LeCun's claim that large language models are a dead end for artificial intelligence. LeCun, who left Meta earlier this year to start his own AI lab, has been saying for years that LLMs cannot reason, cannot plan, and will never get us to human-level intelligence. Hassabis disagrees, and he said so directly. His position is that scaling laws are still working, foundation models are still getting more capable, and whatever AGI ends up looking like, LLMs will be a central part of it, not something that gets replaced. He does say there is roughly a 50/50 chance that one or two additional breakthroughs will be needed beyond scaling alone, things like better memory, long-term planning, and world models. But the core disagreement with LeCun is clear, Hassabis believes the current architecture is sound and the current path leads somewhere real. Two Nobel-recognized researchers, two founding figures of modern AI, now publicly on opposite sides of the most important technical question in the industry.
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The CEO of Google DeepMind just went on record saying he disagrees with one of the most respected AI researchers in the world. Demis Hassabis, the man behind AlphaFold, AlphaGo, and Google's entire AI operation publicly pushed back against Yann LeCun's claim that large language models are a dead end for artificial intelligence. LeCun, who left Meta earlier this year to start his own AI lab, has been saying for years that LLMs cannot reason, cannot plan, and will never get us to human-level intelligence. Hassabis disagrees, and he said so directly. His position is that scaling laws are still working, foundation models are still getting more capable, and whatever AGI ends up looking like, LLMs will be a central part of it, not something that gets replaced. He does say there is roughly a 50/50 chance that one or two additional breakthroughs will be needed beyond scaling alone, things like better memory, long-term planning, and world models. But the core disagreement with LeCun is clear, Hassabis believes the current architecture is sound and the current path leads somewhere real. Two Nobel-recognized researchers, two founding figures of modern AI, now publicly on opposite sides of the most important technical question in the industry.

Milk Road AI

130,597 views • 2 months ago

Without World Models, There Is No AGI. Google Just Proved It. If AGI ever happens, it will not come from bigger chatbots alone. From the very start of this interview, one thing is crystal clear: without world models, we will never reach AGI. And right now, Google is leading with its world simulator Genie 3. Here is the core of what Demis Hassabis explains in this conversation: • World models are the missing core of AGI Hassabis says his deepest long term focus has always been world models and simulations. Not just language. Not just prediction. Actual internal simulations of reality. • LLMs are impressive, but incomplete Language models understand more about the world than expected because human language encodes a lot of reality. Still, language is only a shadow of the real thing. • What text can never fully teach Reality includes things text struggles to express: •3D space and spatial dynamics •Physical causality and mechanics •Sensorimotor experience like movement, force, smell, or balance • Experience beats description To close the gap, AI must learn from interaction and experience, not just static text. That is how you build an internal world simulator. • Why Genie 3 matters With Google DeepMind pushing systems like Genie 3, AI starts to model reality itself, not just talk about it. • Robots and real world assistants depend on this True robotics, smart glasses, and universal assistants require AI that understands the physical world you live in, not just your screen. Bottom line: AGI will not emerge from better text prediction. It will emerge from systems that can simulate, predict, and understand reality itself. Right now, Google is clearly ahead on that path. Curious what you think. Are world models the real AGI unlock, or just another stepping stone?
1:26

Without World Models, There Is No AGI. Google Just Proved It. If AGI ever happens, it will not come from bigger chatbots alone. From the very start of this interview, one thing is crystal clear: without world models, we will never reach AGI. And right now, Google is leading with its world simulator Genie 3. Here is the core of what Demis Hassabis explains in this conversation: • World models are the missing core of AGI Hassabis says his deepest long term focus has always been world models and simulations. Not just language. Not just prediction. Actual internal simulations of reality. • LLMs are impressive, but incomplete Language models understand more about the world than expected because human language encodes a lot of reality. Still, language is only a shadow of the real thing. • What text can never fully teach Reality includes things text struggles to express: •3D space and spatial dynamics •Physical causality and mechanics •Sensorimotor experience like movement, force, smell, or balance • Experience beats description To close the gap, AI must learn from interaction and experience, not just static text. That is how you build an internal world simulator. • Why Genie 3 matters With Google DeepMind pushing systems like Genie 3, AI starts to model reality itself, not just talk about it. • Robots and real world assistants depend on this True robotics, smart glasses, and universal assistants require AI that understands the physical world you live in, not just your screen. Bottom line: AGI will not emerge from better text prediction. It will emerge from systems that can simulate, predict, and understand reality itself. Right now, Google is clearly ahead on that path. Curious what you think. Are world models the real AGI unlock, or just another stepping stone?

VraserX e/acc

23,784 views • 6 months ago

Demis Hassabis says the Nano Banana Pro system is moving toward AGI for imaging It doesn't just make images, it understands what's in them The goal is to merge this with world models like Genie and SIMA into one system "that might be a candidate for proto-AGI"
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Demis Hassabis says the Nano Banana Pro system is moving toward AGI for imaging It doesn't just make images, it understands what's in them The goal is to merge this with world models like Genie and SIMA into one system "that might be a candidate for proto-AGI"

Haider.

50,740 views • 6 months ago

Demis Hassabis: it's “nonsense” to claim that today's AI chatbots have PhD intelligence “And maybe scaling will get us there, but if I was to bet, I think there are probably one or two missing breakthroughs that are still required and will come over the next five or so years.” Demis Hassabis at the All-In Summit: “You often hear some of our competitors talk about these modern systems that we have today are PhD intelligences.” “I think that's nonsense. They're not PhD intelligences.” “They have some capabilities that are PhD level, but they're not, in general, capable. And that's exactly what general intelligence should be (capable) of, of performing across the board at the PhD level.” “In fact, as we all know, interacting with today's chatbots, if you pose the question in a certain way, they can make simple mistakes with even high school maths and simple counting.” “That shouldn't be possible for a true AGI system.” “So I think that we are maybe, I would say sort of 5-10 years away from having an AGI system that's capable of doing those things.” “Another thing that's missing is continual learning, this ability to like online teach the system something new or adjust its behavior in some way.” “And so a lot of these, I think, core capabilities are still missing.”
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Demis Hassabis: it's “nonsense” to claim that today's AI chatbots have PhD intelligence “And maybe scaling will get us there, but if I was to bet, I think there are probably one or two missing breakthroughs that are still required and will come over the next five or so years.” Demis Hassabis at the All-In Summit: “You often hear some of our competitors talk about these modern systems that we have today are PhD intelligences.” “I think that's nonsense. They're not PhD intelligences.” “They have some capabilities that are PhD level, but they're not, in general, capable. And that's exactly what general intelligence should be (capable) of, of performing across the board at the PhD level.” “In fact, as we all know, interacting with today's chatbots, if you pose the question in a certain way, they can make simple mistakes with even high school maths and simple counting.” “That shouldn't be possible for a true AGI system.” “So I think that we are maybe, I would say sort of 5-10 years away from having an AGI system that's capable of doing those things.” “Another thing that's missing is continual learning, this ability to like online teach the system something new or adjust its behavior in some way.” “And so a lot of these, I think, core capabilities are still missing.”

The All-In Podcast

33,934 views • 9 months ago

The interview with Demis Hassabis - the tl;dr (summary) about scaling, AGI and much more: 1. Solving the "Root Node" Problems: DeepMind isn't just building chatbots; they are using AI to solve the hardest scientific problems. After the success of AlphaFold, they are now targeting materials science (room-temperature superconductors, better batteries) and even nuclear fusion to unlock unlimited clean energy. 2. The "Jagged Intelligence" Paradox: Current AI models are in a weird spot—they can win gold medals at the International Math Olympiad but still fail at basic logic puzzles. Hassabis calls this "jagged intelligence." The goal isn't just more data, but fixing these inconsistencies to make models reliable across the board. 3. Scaling is Not Dead (But it’s Changing): Despite rumors of hitting a "data wall," Hassabis says we haven't seen a hard limit yet. However, we are seeing diminishing returns. His bet? Getting to AGI will require 50% scaling and 50% architectural innovation. It’s no longer just about making the models bigger; it’s about making them smarter. 4. The Missing Piece: System 2 Thinking: Today's models are passive—they just spit out an answer. To reach AGI, we need systems that can "think" before they speak. This involves planning, reasoning, and double-checking their own work (similar to human "System 2" thinking) rather than just predicting the next word. 5. Rise of World Models: The next big frontier is "World Models" (like their project Genie). AI needs to understand the physics of the world—gravity, object permanence, and cause-and-effect—not just language. This is crucial for building helpful digital agents and robots that can navigate real-life situations. 6. Is the Universe Computable? On a philosophical level, Hassabis believes that everything in the universe might be computable. His life's work is testing the limits of the "Turing Machine." If we can build an AGI that simulates the human mind perfectly, we might finally understand what (if anything) makes human consciousness unique. 7. Bigger than the Industrial Revolution: We need to prepare for a shift that is 10x faster and bigger than the Industrial Revolution. If AI solves energy (fusion) and labor, we might enter a "post-scarcity" world. Hassabis warns that society, economics, and governments need to adapt quickly to ensure these benefits are shared by everyone, not just a few. And since this is the most important aspect, here is the clip about post labor economy:
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The interview with Demis Hassabis - the tl;dr (summary) about scaling, AGI and much more: 1. Solving the "Root Node" Problems: DeepMind isn't just building chatbots; they are using AI to solve the hardest scientific problems. After the success of AlphaFold, they are now targeting materials science (room-temperature superconductors, better batteries) and even nuclear fusion to unlock unlimited clean energy. 2. The "Jagged Intelligence" Paradox: Current AI models are in a weird spot—they can win gold medals at the International Math Olympiad but still fail at basic logic puzzles. Hassabis calls this "jagged intelligence." The goal isn't just more data, but fixing these inconsistencies to make models reliable across the board. 3. Scaling is Not Dead (But it’s Changing): Despite rumors of hitting a "data wall," Hassabis says we haven't seen a hard limit yet. However, we are seeing diminishing returns. His bet? Getting to AGI will require 50% scaling and 50% architectural innovation. It’s no longer just about making the models bigger; it’s about making them smarter. 4. The Missing Piece: System 2 Thinking: Today's models are passive—they just spit out an answer. To reach AGI, we need systems that can "think" before they speak. This involves planning, reasoning, and double-checking their own work (similar to human "System 2" thinking) rather than just predicting the next word. 5. Rise of World Models: The next big frontier is "World Models" (like their project Genie). AI needs to understand the physics of the world—gravity, object permanence, and cause-and-effect—not just language. This is crucial for building helpful digital agents and robots that can navigate real-life situations. 6. Is the Universe Computable? On a philosophical level, Hassabis believes that everything in the universe might be computable. His life's work is testing the limits of the "Turing Machine." If we can build an AGI that simulates the human mind perfectly, we might finally understand what (if anything) makes human consciousness unique. 7. Bigger than the Industrial Revolution: We need to prepare for a shift that is 10x faster and bigger than the Industrial Revolution. If AI solves energy (fusion) and labor, we might enter a "post-scarcity" world. Hassabis warns that society, economics, and governments need to adapt quickly to ensure these benefits are shared by everyone, not just a few. And since this is the most important aspect, here is the clip about post labor economy:

Chubby♨️

27,473 views • 6 months 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."
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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

111,288 views • 2 months ago

🚨 OPENAI PRESIDENT GREG BROCKMAN ON WHEN WE HIT AGI 🚨 Greg Brockman was asked if he agrees with NVIDIA's CEO that AGI is already here. His answer? Not quite yet, as people may know I definitely agree and align with Sam and Demi’s that we are 2 breakthroughs away but we are entering the final stretch. Here is exactly where Greg believes we stand right now: The Percentage: "I'd say I'm basically like 70, 80% there. So I think we're quite close." • The Official Timeline: "I think it's extremely clear that we are going to have AGI within the next couple years." The Concept of "Jagged Intelligence": Brockman admits we are currently sitting in a weird middle ground where AI is "jagged"—it is already operating at an AGI level for highly complex tasks, but still fails at random, basic things. "It is absolutely superhuman at many tasks. When it comes to writing code those kinds of things, the AI can just do it... But there's some very basic tasks that a human can do that our AI still struggle with." How Do We Close the Final 20%? To hit full AGI, the absolute floor of the models' reliability needs to be raised across the board. "The floor of task will just be almost for any intellectual task of how you use your computer, the AI will be able to do that."
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🚨 OPENAI PRESIDENT GREG BROCKMAN ON WHEN WE HIT AGI 🚨 Greg Brockman was asked if he agrees with NVIDIA's CEO that AGI is already here. His answer? Not quite yet, as people may know I definitely agree and align with Sam and Demi’s that we are 2 breakthroughs away but we are entering the final stretch. Here is exactly where Greg believes we stand right now: The Percentage: "I'd say I'm basically like 70, 80% there. So I think we're quite close." • The Official Timeline: "I think it's extremely clear that we are going to have AGI within the next couple years." The Concept of "Jagged Intelligence": Brockman admits we are currently sitting in a weird middle ground where AI is "jagged"—it is already operating at an AGI level for highly complex tasks, but still fails at random, basic things. "It is absolutely superhuman at many tasks. When it comes to writing code those kinds of things, the AI can just do it... But there's some very basic tasks that a human can do that our AI still struggle with." How Do We Close the Final 20%? To hit full AGI, the absolute floor of the models' reliability needs to be raised across the board. "The floor of task will just be almost for any intellectual task of how you use your computer, the AI will be able to do that."

Chris

87,235 views • 2 months ago

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)
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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)

Rohan Paul

36,646 views • 4 months ago

BREAKING: OpenAI Sam Altman was just what he would do with 1000x more compute > Ask chatGPT to work super hard on AGI research > figure out how to build better models > and then ask the models what we should do with all the compute > “I think that’s the rational thing to do” the absolute state of AGI research
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BREAKING: OpenAI Sam Altman was just what he would do with 1000x more compute > Ask chatGPT to work super hard on AGI research > figure out how to build better models > and then ask the models what we should do with all the compute > “I think that’s the rational thing to do” the absolute state of AGI research

NIK

156,453 views • 1 year ago

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries
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As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries

Daniel

151,698 views • 6 months ago

U.S. Secretary of State Marco Rubio on Iran, Strait of Hormuz: "They’re going to be open one way or the other. So they need to be open, what’s happening there is unlawful, it’s illegal, it’s unsustainable for the world, it’s unacceptable. I don’t know of any country in the world that does. The Russians are not in favor of a tolling system, the Chinese are not in favor of a tolling system. I mean, there’s no country in the world that’s in favor of a tolling system, except for the regime in Iran. So that’s not acceptable, that cannot happen. The straits need to be open, unimpeded, without tools. And obviously that needs to happen immediately as soon as anything is agreed to. Well, look, I think our position is well stated. The president had a very important, I think, historic call just a couple days ago with a number of leaders from the region. I think there’s strong alignment and agreement on what a preliminary draft should look like. I think like anything with something like this, it’s going to take a couple days to settle on, even down to the disagreements over a word sentence. So we’ll have to work through that. If there’s going to be a deal, we’re going to have to work through that. But this is, you know, it’s either going to be a good deal or there isn’t going to be one."
1:03

U.S. Secretary of State Marco Rubio on Iran, Strait of Hormuz: "They’re going to be open one way or the other. So they need to be open, what’s happening there is unlawful, it’s illegal, it’s unsustainable for the world, it’s unacceptable. I don’t know of any country in the world that does. The Russians are not in favor of a tolling system, the Chinese are not in favor of a tolling system. I mean, there’s no country in the world that’s in favor of a tolling system, except for the regime in Iran. So that’s not acceptable, that cannot happen. The straits need to be open, unimpeded, without tools. And obviously that needs to happen immediately as soon as anything is agreed to. Well, look, I think our position is well stated. The president had a very important, I think, historic call just a couple days ago with a number of leaders from the region. I think there’s strong alignment and agreement on what a preliminary draft should look like. I think like anything with something like this, it’s going to take a couple days to settle on, even down to the disagreements over a word sentence. So we’ll have to work through that. If there’s going to be a deal, we’re going to have to work through that. But this is, you know, it’s either going to be a good deal or there isn’t going to be one."

Open Source Intel

258,148 views • 1 month ago

CEO OF GOOGLE'S DEEPMIND: AGI IS GOING TO CHANGE EVERYTHING Demis Hassabis: “I think the next steps will bring amazing tools that enhance almost every endeavor we pursue as humans. Then beyond that, when AGI arrives, it's going to change pretty much everything about the way we do things. We’ll need new great philosophers to emerge — hopefully in the next five to ten years — to understand the implications of this.” Source: CBSNews
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CEO OF GOOGLE'S DEEPMIND: AGI IS GOING TO CHANGE EVERYTHING Demis Hassabis: “I think the next steps will bring amazing tools that enhance almost every endeavor we pursue as humans. Then beyond that, when AGI arrives, it's going to change pretty much everything about the way we do things. We’ll need new great philosophers to emerge — hopefully in the next five to ten years — to understand the implications of this.” Source: CBSNews

Mario Nawfal

145,976 views • 1 year 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)
0:50

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 • 23 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.
0:56

.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 views • 10 months ago

Andrej Karpathy called the current AI models as "slop" "I do think that overall the models are not there yet. I feel like the industry is making too big of a jump and trying to pretend that this is amazing, but it's not. It's slop, and I think they are not coming to terms with it. Maybe they are trying to fundraise or something like that, I'm not sure what's going on. We are at this intermediate stage. The models are amazing, but they still need a lot of work for now. Autocomplete is my sweet spot." --- On the latest Dwarkesh Patel podcast.
0:30

Andrej Karpathy called the current AI models as "slop" "I do think that overall the models are not there yet. I feel like the industry is making too big of a jump and trying to pretend that this is amazing, but it's not. It's slop, and I think they are not coming to terms with it. Maybe they are trying to fundraise or something like that, I'm not sure what's going on. We are at this intermediate stage. The models are amazing, but they still need a lot of work for now. Autocomplete is my sweet spot." --- On the latest Dwarkesh Patel podcast.

Rohan Paul

33,331 views • 8 months ago

Demis Hassabis says world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ This is what Demis and Google Deepmind is trying to solve with Genie. He also says that the video models (Veo) will play a part in training the world models and this is all key for AI robotics.
2:32

Demis Hassabis says world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ This is what Demis and Google Deepmind is trying to solve with Genie. He also says that the video models (Veo) will play a part in training the world models and this is all key for AI robotics.

Bearly AI

123,703 views • 6 months ago

Greenland Minister Naaja Nathanielsen on whether US threats are signalling the end of NATO: ‘I definitely think that NATO is in a difficult place right now… I think NATO is under a lot of stress. I don’t know the future of it. I don’t even know the future of the broader geopolitical situation two years from now. I think things are changing quite a bit, and it’s going to be difficult. I think I agree with Carney when he says that there’s really no going back to what was. I think we have to figure out where to go next. So I cannot answer your question with a very clear answer. I think things are changing. But I do still believe that NATO, for my part of the world, has brought more peace, and realising of course this is not the truth anywhere or everywhere. I understand that fully. But for Greenland, it has brought a period of more peace.’ Watch the full interview in the quoted post below, or watch it on Rumble, link below in the replies👇
1:22

Greenland Minister Naaja Nathanielsen on whether US threats are signalling the end of NATO: ‘I definitely think that NATO is in a difficult place right now… I think NATO is under a lot of stress. I don’t know the future of it. I don’t even know the future of the broader geopolitical situation two years from now. I think things are changing quite a bit, and it’s going to be difficult. I think I agree with Carney when he says that there’s really no going back to what was. I think we have to figure out where to go next. So I cannot answer your question with a very clear answer. I think things are changing. But I do still believe that NATO, for my part of the world, has brought more peace, and realising of course this is not the truth anywhere or everywhere. I understand that fully. But for Greenland, it has brought a period of more peace.’ Watch the full interview in the quoted post below, or watch it on Rumble, link below in the replies👇

Going Underground

35,093 views • 4 months ago

John Carmack: The code for AGI could conceivably be written by one individual After stepping down as CTO of Meta’s Oculus VR, legendary programmer John Carmack was trying to decide if he would work on nuclear fission or artificial general intelligence (AGI). He ultimately chose AGI. “I think [fission] is possible,” John says. “Somebody should be doing this, but it’s going to involve some politics, decent-sized teams, and a bunch of cross-functional stuff that I don’t love. While artificial general intelligence seems to me like the highest-leverage moment for a single individual potentially in the history of the world.” He explains: “With the things we know about the brain and what we can do with artificial intelligence . . . I’m not a madman for saying that it is likely that the code for artificial general intelligence is going to be tens of thousands of lines of code — not millions of lines of code.” He continues: “This is code that conceivably one individual could write, unlike writing a new web browser or operating system. And based on the progress that machine learning has made in the recent decade, it’s likely that the important things that we don’t know are relatively simple. There’s probably a handful of things — my bet is there’s less than six key insights — that need to be made. Each one of them can probably be written on the back of an envelope. We don’t know what they are, but when they’re put together in concert with GPUs at scale and the data that we all have access to, we can make something that behaves like a human being or living creature and that can then be educated in whatever ways we need to get to the point where we can have universal remote workers where anything that somebody does mediated by a computer, that doesn’t require physical interaction, an AGI will be able to do.” Carmack does not think this will be “unapproachably hard”: “That’s incredibly hubristic to say, but what I said a couple of years ago was that there’s a 50% chance that somewhere there will be signs of life of an AGI in 2030, and I’ve probably increased that slightly — maybe 55-60% now because I do think there’s a little sense of acceleration.” Video source: Lex Fridman (2022)
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John Carmack: The code for AGI could conceivably be written by one individual After stepping down as CTO of Meta’s Oculus VR, legendary programmer John Carmack was trying to decide if he would work on nuclear fission or artificial general intelligence (AGI). He ultimately chose AGI. “I think [fission] is possible,” John says. “Somebody should be doing this, but it’s going to involve some politics, decent-sized teams, and a bunch of cross-functional stuff that I don’t love. While artificial general intelligence seems to me like the highest-leverage moment for a single individual potentially in the history of the world.” He explains: “With the things we know about the brain and what we can do with artificial intelligence . . . I’m not a madman for saying that it is likely that the code for artificial general intelligence is going to be tens of thousands of lines of code — not millions of lines of code.” He continues: “This is code that conceivably one individual could write, unlike writing a new web browser or operating system. And based on the progress that machine learning has made in the recent decade, it’s likely that the important things that we don’t know are relatively simple. There’s probably a handful of things — my bet is there’s less than six key insights — that need to be made. Each one of them can probably be written on the back of an envelope. We don’t know what they are, but when they’re put together in concert with GPUs at scale and the data that we all have access to, we can make something that behaves like a human being or living creature and that can then be educated in whatever ways we need to get to the point where we can have universal remote workers where anything that somebody does mediated by a computer, that doesn’t require physical interaction, an AGI will be able to do.” Carmack does not think this will be “unapproachably hard”: “That’s incredibly hubristic to say, but what I said a couple of years ago was that there’s a 50% chance that somewhere there will be signs of life of an AGI in 2030, and I’ve probably increased that slightly — maybe 55-60% now because I do think there’s a little sense of acceleration.” Video source: Lex Fridman (2022)

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