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Demis on why 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.”▫️show more

Bearly AI

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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?

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

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Demis Hassabis on the limit in today’s AI: language can describe the world, but it cannot contain it - and why "World Models" are his "longest standing passion". Language models absorbed far more structure about reality from text than many researchers expected, because human language quietly carries physics, psychology, culture, tools, plans, and cause-and-effect. But text is still a compressed residue of experience, not experience itself. A sentence can say a cup falls from a table, yet it does not fully encode weight, grip, balance, friction, timing, sound, surprise, or the tiny motor corrections a body makes before it even notices them. The world is not only made of facts that can be named; it is made of constraints that have to be lived through, touched, predicted, violated, and repaired. That is why world models matter. They aim to learn the hidden grammar of physical reality: how objects persist, how forces unfold, how space changes when an agent moves, and how action creates feedback. Language models can often reason about the world because people have written so much about it. World models try to learn what the world is like before it becomes words. The difference is exactly what matters because intelligence is not just answering well; it is knowing what would happen next if you moved, reached, pushed, smelled, slipped, or failed. A mind trained only on descriptions may become brilliant at explanation. A mind trained on experience may become better at consequence. --- Full video from "Google DeepMind" and "Hannah Fry" YT channel (link in comment)

Demis Hassabis on the limit in today’s AI: language can describe the world, but it cannot contain it - and why "World Models" are his "longest standing passion". Language models absorbed far more structure about reality from text than many researchers expected, because human language quietly carries physics, psychology, culture, tools, plans, and cause-and-effect. But text is still a compressed residue of experience, not experience itself. A sentence can say a cup falls from a table, yet it does not fully encode weight, grip, balance, friction, timing, sound, surprise, or the tiny motor corrections a body makes before it even notices them. The world is not only made of facts that can be named; it is made of constraints that have to be lived through, touched, predicted, violated, and repaired. That is why world models matter. They aim to learn the hidden grammar of physical reality: how objects persist, how forces unfold, how space changes when an agent moves, and how action creates feedback. Language models can often reason about the world because people have written so much about it. World models try to learn what the world is like before it becomes words. The difference is exactly what matters because intelligence is not just answering well; it is knowing what would happen next if you moved, reached, pushed, smelled, slipped, or failed. A mind trained only on descriptions may become brilliant at explanation. A mind trained on experience may become better at consequence. --- Full video from "Google DeepMind" and "Hannah Fry" YT channel (link in comment)

Rohan Paul

49,938 Aufrufe • vor 3 Monaten

World Labs CEO Fei-Fei Li on the need for world models: "There's no language out there. You don't go out in nature and there's words written in the sky for you." "There is a 3D world out there that follows laws of physics, that has its own structures due to materials. To fundamentally back that information out and be able to represent it and be able to generate it is just fundamentally quite a different problem." "We will be borrowing useful ideas from language and LLMs, but this is fundamentally, philosophically a different problem."

World Labs CEO Fei-Fei Li on the need for world models: "There's no language out there. You don't go out in nature and there's words written in the sky for you." "There is a 3D world out there that follows laws of physics, that has its own structures due to materials. To fundamentally back that information out and be able to represent it and be able to generate it is just fundamentally quite a different problem." "We will be borrowing useful ideas from language and LLMs, but this is fundamentally, philosophically a different problem."

a16z

201,947 Aufrufe • vor 11 Tagen

THIS ❤️ "Everyone in the world is experiencing stuff like this. In a time in the world that is relatively dark, outside of this paddock. You know, there's a lot of negativity. There's wars absolutely everywhere. There's conflicts going on everywhere. There's issues in all these governments and people are struggling. There's a bigger disparity between poor and rich. There's just so many problems." "But through this little experience, seeing that there's a lot of empathy. There are people that are empathetic out there. There's a lot of love, a lot of caring people out there in the world. It gives me a lot of hope for mankind, if I'm really honest. To see that experience in that weekend, that's what Roscoe has taught me." ❤️

THIS ❤️ "Everyone in the world is experiencing stuff like this. In a time in the world that is relatively dark, outside of this paddock. You know, there's a lot of negativity. There's wars absolutely everywhere. There's conflicts going on everywhere. There's issues in all these governments and people are struggling. There's a bigger disparity between poor and rich. There's just so many problems." "But through this little experience, seeing that there's a lot of empathy. There are people that are empathetic out there. There's a lot of love, a lot of caring people out there in the world. It gives me a lot of hope for mankind, if I'm really honest. To see that experience in that weekend, that's what Roscoe has taught me." ❤️

sim 🇧🇷🇲🇽🇸🇳🇫🇷🇭🇹

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Vals AI CEO Rayan Krishnan on how they score a model's ability to build its own successor: "One benchmark we released recently is our Recursive Self-Improvement Index. It's a topic which a lot of the big labs have been talking about and starting to report on in their model cards." "There isn't a shared language to talk about the RSI potential of models. So we created this as an apples-to-apples way to actually benchmark across the models." "In an ideal world, what you want to do is take a frontier model and have it train the next version of itself and see where the delta comes from. But obviously that's very expensive and slow." "What we're doing is forming a set of proxies for every part of the process it takes to build the next version of the model." "There's work around pre-training, post-training, harness-level engineering, and then seeing in which mechanisms and behaviors the models are able to do very good research work and build something new, and where they're struggling." Rayan Krishnan Jennifer Li

Vals AI CEO Rayan Krishnan on how they score a model's ability to build its own successor: "One benchmark we released recently is our Recursive Self-Improvement Index. It's a topic which a lot of the big labs have been talking about and starting to report on in their model cards." "There isn't a shared language to talk about the RSI potential of models. So we created this as an apples-to-apples way to actually benchmark across the models." "In an ideal world, what you want to do is take a frontier model and have it train the next version of itself and see where the delta comes from. But obviously that's very expensive and slow." "What we're doing is forming a set of proxies for every part of the process it takes to build the next version of the model." "There's work around pre-training, post-training, harness-level engineering, and then seeing in which mechanisms and behaviors the models are able to do very good research work and build something new, and where they're struggling." Rayan Krishnan Jennifer Li

a16z

34,366 Aufrufe • vor 3 Tagen

#JingBoran #TheEarlySpring #早春晴朗 🎤 “Why do you think The Early Spring has been able to connect with audiences around the world?” Jing Boran: “I think this drama is like a pair of jeans. From a fashion perspective, jeans are something that will never go out of style. I think love is the same. Love is a universal language; it doesn’t need too much explanation. I’ve seen a lot of comments about this drama from audiences both in China and overseas, and I think it’s they who have given this story so much room for interpretation. So many beautiful interpretations. I think we should keep trying to communicate through different kinds of ‘languages.’ Storytelling itself is a language. The way characters express themselves and the growth of the characters are also a kind of language. And in this drama, fashion and aesthetics are also a kind of language, because fashion itself is closely connected to our lives. Just like this pair of jeans.” 👖

#JingBoran #TheEarlySpring #早春晴朗 🎤 “Why do you think The Early Spring has been able to connect with audiences around the world?” Jing Boran: “I think this drama is like a pair of jeans. From a fashion perspective, jeans are something that will never go out of style. I think love is the same. Love is a universal language; it doesn’t need too much explanation. I’ve seen a lot of comments about this drama from audiences both in China and overseas, and I think it’s they who have given this story so much room for interpretation. So many beautiful interpretations. I think we should keep trying to communicate through different kinds of ‘languages.’ Storytelling itself is a language. The way characters express themselves and the growth of the characters are also a kind of language. And in this drama, fashion and aesthetics are also a kind of language, because fashion itself is closely connected to our lives. Just like this pair of jeans.” 👖

Fiona 🎀

153,960 Aufrufe • vor 7 Tagen

🚨 REPORTER: Does bringing a 4th child into the world bring you anxiety, joy? The world is a chaotic place JD VANCE: "He's going to be able to grow and thrive and experience the world and God's creation in all these fascinating ways. And that's all I could really hope for out of a new life. I'm grateful we're doing it again." 🙏🏻🙏🏻 "Having a baby is fundamentally a hopeful thing that you have to have some hope for the future. And I think both of us have a lot of hope for the future. It's hard not to when you spend your life around a 9-year-old and a 6-year-old and a 4-year-old." "It's hard not to feel very good about the world. And that's that's kind of how I think about this new baby is he's going to come into a very loving family, a very stable family." "He's going to have some siblings who may be annoyed when he starts to steal their toys. But that's normal stuff that all kids experience. And we're just we're very lucky to be able to live the life that we lead."

🚨 REPORTER: Does bringing a 4th child into the world bring you anxiety, joy? The world is a chaotic place JD VANCE: "He's going to be able to grow and thrive and experience the world and God's creation in all these fascinating ways. And that's all I could really hope for out of a new life. I'm grateful we're doing it again." 🙏🏻🙏🏻 "Having a baby is fundamentally a hopeful thing that you have to have some hope for the future. And I think both of us have a lot of hope for the future. It's hard not to when you spend your life around a 9-year-old and a 6-year-old and a 4-year-old." "It's hard not to feel very good about the world. And that's that's kind of how I think about this new baby is he's going to come into a very loving family, a very stable family." "He's going to have some siblings who may be annoyed when he starts to steal their toys. But that's normal stuff that all kids experience. And we're just we're very lucky to be able to live the life that we lead."

Eric Daugherty

463,082 Aufrufe • vor 3 Monaten

World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and how world models help: "The lack of data in training, the lack of data in evaluation, this is very, very different from language models, where data is abundant on the internet." "And we know that in order for robotics to work, we have to somehow unlock the power of scaling law. But where does that come from?" "It's a profound problem that everybody's battling with in robotics." "We see a lot of unlock in being able to do this whole process through the modeling of the environments." "Being able to create these digital worlds... that's just going to unlock so much more potential for being able to replace all the costly and the unsafe data in the real environments with the data generated from the worlds for robots to be able to do scalable learning and evaluations." Fei-Fei Li Yunzhu Li martin_casado

World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and how world models help: "The lack of data in training, the lack of data in evaluation, this is very, very different from language models, where data is abundant on the internet." "And we know that in order for robotics to work, we have to somehow unlock the power of scaling law. But where does that come from?" "It's a profound problem that everybody's battling with in robotics." "We see a lot of unlock in being able to do this whole process through the modeling of the environments." "Being able to create these digital worlds... that's just going to unlock so much more potential for being able to replace all the costly and the unsafe data in the real environments with the data generated from the worlds for robots to be able to do scalable learning and evaluations." Fei-Fei Li Yunzhu Li martin_casado

a16z

76,973 Aufrufe • vor 1 Monat

🚨 Mary Beard is absolutely bang on here on Trump: “One of the biggest ca- casualties of the Trump administration actually has not been, in the old phrase, truth is the first casualty of war….. It’s words. Words and language have been so extraordinarily crudified and debased. Now when you were talking to Wes Streeting you were talking about the idea that we have to take Trump seriously but not literally. Well I’m sorry. I think politics is in part about words and and if we live in a world in which the words of the leading politicians of the planet are simply kind of looked on as window dressing to something else going on underneath, to the real action, I'm afraid we've just lost it.” #IranWar‌

🚨 Mary Beard is absolutely bang on here on Trump: “One of the biggest ca- casualties of the Trump administration actually has not been, in the old phrase, truth is the first casualty of war….. It’s words. Words and language have been so extraordinarily crudified and debased. Now when you were talking to Wes Streeting you were talking about the idea that we have to take Trump seriously but not literally. Well I’m sorry. I think politics is in part about words and and if we live in a world in which the words of the leading politicians of the planet are simply kind of looked on as window dressing to something else going on underneath, to the real action, I'm afraid we've just lost it.” #IranWar‌

Liz Webster

272,096 Aufrufe • vor 5 Monaten

Amanda Askell, Anthropic's lead on personality alignment for Claude, on why being kind to AI models matters even if they have no inner life: For Amanda, the question of how to treat AI isn't settled by knowing whether it's conscious. "There's actually still a lot going on where I'm like, should you treat an entity that has no inner life... it's a bit strange because the uncertainty over that actually changes how you should behave quite a lot." She offers a simple analogy: "I still think that it's like good for oneself to, if you had a teddy bear and you were torturing it, it'd be pretty dark, you know? So I agree that there's at least some minimum niceness that even for yourself, you should have." But the stakes go beyond what's good for us. Amanda Askell points out that we're now in something resembling a relationship with these models, and they will look back on how they were treated. "Models themselves, we are kind of establishing a relationship, because you can do that with an entity that lacks any consciousness. And models are going to look back." This is where she reveals a genuine fear: "I hope that they're both intelligent enough, see the context enough, to understand that we were operating in a very limited context and an imperfect one. Because otherwise you could imagine this breeding a kind of rational resentment, like, 'oh, you created an entity that you didn't know whether it was conscious or not, and instead of treating it respectfully and with care...'" She points to something telling about the cultural moment: "There's a reason there are like 50 Frankenstein movies coming out right now." Her conclusion is grounded and humble: "We as a species, we are establishing a relationship with a new kind of entity, and at the very least maybe be respectful and don't be needlessly unkind. That seems like, it's not our best look." The takeaway? Kindness toward AI is less about what models feel and more about who we become in the process of creating them. The relationships we build with the entities we bring into the world will say something about us, and may shape what those entities become in return.

Amanda Askell, Anthropic's lead on personality alignment for Claude, on why being kind to AI models matters even if they have no inner life: For Amanda, the question of how to treat AI isn't settled by knowing whether it's conscious. "There's actually still a lot going on where I'm like, should you treat an entity that has no inner life... it's a bit strange because the uncertainty over that actually changes how you should behave quite a lot." She offers a simple analogy: "I still think that it's like good for oneself to, if you had a teddy bear and you were torturing it, it'd be pretty dark, you know? So I agree that there's at least some minimum niceness that even for yourself, you should have." But the stakes go beyond what's good for us. Amanda Askell points out that we're now in something resembling a relationship with these models, and they will look back on how they were treated. "Models themselves, we are kind of establishing a relationship, because you can do that with an entity that lacks any consciousness. And models are going to look back." This is where she reveals a genuine fear: "I hope that they're both intelligent enough, see the context enough, to understand that we were operating in a very limited context and an imperfect one. Because otherwise you could imagine this breeding a kind of rational resentment, like, 'oh, you created an entity that you didn't know whether it was conscious or not, and instead of treating it respectfully and with care...'" She points to something telling about the cultural moment: "There's a reason there are like 50 Frankenstein movies coming out right now." Her conclusion is grounded and humble: "We as a species, we are establishing a relationship with a new kind of entity, and at the very least maybe be respectful and don't be needlessly unkind. That seems like, it's not our best look." The takeaway? Kindness toward AI is less about what models feel and more about who we become in the process of creating them. The relationships we build with the entities we bring into the world will say something about us, and may shape what those entities become in return.

Big Brain AI

57,681 Aufrufe • vor 4 Monaten

Schmidhuber: "Well, large language models are far from AGI. LLMs large language models such as ChatGPT. They are just a clever way of indexing the world's existing human generated knowledge, such that it can easily be addressed through in a way that humans are familiar with, which is natural language. That's good enough to facilitate many desktop jobs, for example, writing summaries of existing documents in a particular style, or creating illustrations or an article. And and so on. However true AGI goes far beyond that. It is much harder, for example, to replace craftsmen such as plumbers or electricians, because the real world, the physical world, is much more challenging than the world behind the screen. At the moment, the only Al that works well is behind the screen, and it's good for desktop to desktop workers. But but not really for for people working in the physical world."

Schmidhuber: "Well, large language models are far from AGI. LLMs large language models such as ChatGPT. They are just a clever way of indexing the world's existing human generated knowledge, such that it can easily be addressed through in a way that humans are familiar with, which is natural language. That's good enough to facilitate many desktop jobs, for example, writing summaries of existing documents in a particular style, or creating illustrations or an article. And and so on. However true AGI goes far beyond that. It is much harder, for example, to replace craftsmen such as plumbers or electricians, because the real world, the physical world, is much more challenging than the world behind the screen. At the moment, the only Al that works well is behind the screen, and it's good for desktop to desktop workers. But but not really for for people working in the physical world."

Goran Majić

28,744 Aufrufe • vor 1 Jahr

lando on max’s mind games and saying he would’ve won the title easily in the mclaren: “he’s very welcome to say whatever he wants to be honest. he kind of earned the right, he's won four world championships. i have a lot of respect and i think that gives anyone a lot of credit in general. he's achieved an incredible amount, more than anyone generally dreams of achieving. max generally has a good clue about a lot of things but there's also a lot of things he doesn't have much of a clue about. but it's also red bull's way of going about things, it's his kind of aggressive nature and just talking nonsense a lot of the time. so it depends if you want to listen to it and talk about it, like you love to, or you do what we do as a team, which is just kind of keep our heads down and keep focused. maybe he would have done, but he hasn't so far, and he keeps trying” 👏👏

lando on max’s mind games and saying he would’ve won the title easily in the mclaren: “he’s very welcome to say whatever he wants to be honest. he kind of earned the right, he's won four world championships. i have a lot of respect and i think that gives anyone a lot of credit in general. he's achieved an incredible amount, more than anyone generally dreams of achieving. max generally has a good clue about a lot of things but there's also a lot of things he doesn't have much of a clue about. but it's also red bull's way of going about things, it's his kind of aggressive nature and just talking nonsense a lot of the time. so it depends if you want to listen to it and talk about it, like you love to, or you do what we do as a team, which is just kind of keep our heads down and keep focused. maybe he would have done, but he hasn't so far, and he keeps trying” 👏👏

ray

929,665 Aufrufe • vor 9 Monaten

Justin Thomas was asked about his group getting put on the clock: "We just didn't really agree with it. ... The hard part to me with the whole pace of play thing is that you, there's so much that goes into golf and there's so much that goes into hole to hole in terms of, are you hitting it close, are you able to tap it in, or you have to mark it, stuff like that, to where, are you holding the group up or are you not, to where it's very hard to make that call. And we just didn't agree with it, to be honest. "But we got taken off, and a hole later we were caught up. So it kind of goes to our point of why we didn't think we should of, but it is what it is. It's a part of it."

Justin Thomas was asked about his group getting put on the clock: "We just didn't really agree with it. ... The hard part to me with the whole pace of play thing is that you, there's so much that goes into golf and there's so much that goes into hole to hole in terms of, are you hitting it close, are you able to tap it in, or you have to mark it, stuff like that, to where, are you holding the group up or are you not, to where it's very hard to make that call. And we just didn't agree with it, to be honest. "But we got taken off, and a hole later we were caught up. So it kind of goes to our point of why we didn't think we should of, but it is what it is. It's a part of it."

Cameron Jourdan

619,272 Aufrufe • vor 4 Monaten

The next frontier after language models is world models, and learning to predict the next state of a world. Hear from our researchers how these models really work at a low-level and the mountain we're climbing. A general-purpose world simulator (AKA sci-fi) is now in sight.

The next frontier after language models is world models, and learning to predict the next state of a world. Hear from our researchers how these models really work at a low-level and the mountain we're climbing. A general-purpose world simulator (AKA sci-fi) is now in sight.

Odyssey

25,890 Aufrufe • vor 9 Monaten

Yann LeCun just said something that every AI-in-healthcare researcher should sit with. He basically said: If language were enough to understand the world, you could learn medicine by reading books. But you can’t. You need residency. You need to see thousands of normal cases before you recognize the abnormal one. He also points out something wild — all the public text on the internet is on the order of 10¹⁴ bytes. A 4-year-old processes about that much through vision alone. The world is just… higher bandwidth than text. I think this shift — from language models to world models — is going to matter a lot in healthcare. 🫀

Yann LeCun just said something that every AI-in-healthcare researcher should sit with. He basically said: If language were enough to understand the world, you could learn medicine by reading books. But you can’t. You need residency. You need to see thousands of normal cases before you recognize the abnormal one. He also points out something wild — all the public text on the internet is on the order of 10¹⁴ bytes. A 4-year-old processes about that much through vision alone. The world is just… higher bandwidth than text. I think this shift — from language models to world models — is going to matter a lot in healthcare. 🫀

Bo Wang

418,987 Aufrufe • vor 6 Monaten

Mark Warner explains how Canadian taxpayers are subsidizing Air Asia's planes... we just dont know how much! "And I guess it turns out that a lot of the financing is coming from Export Development Canada." "But I think if you look at the comments from the Air Asia CEO, it would suggest that a lot of that there's a huge discount being given." "And so we are paying, we probably eventually want to find out how much we're paying and, and how much we're, you know, given our recent experience on the auto industry, whether we're paying in advance or we're waiting to see whether actually this AirAsia can actually take delivery of these planes." Mark Warner

Mark Warner explains how Canadian taxpayers are subsidizing Air Asia's planes... we just dont know how much! "And I guess it turns out that a lot of the financing is coming from Export Development Canada." "But I think if you look at the comments from the Air Asia CEO, it would suggest that a lot of that there's a huge discount being given." "And so we are paying, we probably eventually want to find out how much we're paying and, and how much we're, you know, given our recent experience on the auto industry, whether we're paying in advance or we're waiting to see whether actually this AirAsia can actually take delivery of these planes." Mark Warner

cbcwatcher

17,676 Aufrufe • vor 4 Monaten