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.Google DeepMind CEO Demis Hassabis joins Logan Kilpatrick on Release Notes to chat about the momentum of AI development, world models like Genie 3, improved model evaluations through Game Arena with @Kaggle, and the quest for AGI.

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20,468 views • 11 months ago •via X (Twitter)

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A conversation with Demis Hassabis on world models (genie 3), deep think, the need for better evals (game arena), and our progress towards AGI.
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Demis Hassabis describes a surreal setup: one AI playing inside the mind of another DeepMind SIMA agent can now operate within Genie 3 -- taking actions in a world that Genie generates in real time "an AI creates the world, another acts inside it" this setup could unlock unlimited training data for robotics and AGI
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“A world builder, for everyone.” 🌐 We sat down with the Google DeepMind team behind Project Genie for a rapid-fire Q&A about turning prompts into interactive, playable worlds. Here’s Logan Kilpatrick and the research scientists behind the magic ↓
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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)
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Today we are announcing Genie 3, a general purpose world model by Google DeepMind that can generate dynamic, interactive environments with a single text prompt. World models are AI that understand facets of the world (like Veo's knowledge of intuitive physics or Genie's mastery of new environments), and serve as a key stepping stone on the path to AGI. Genie 3 is our first world model to allow interaction in real-time, while also improving consistency and realism compared to Genie 2. Learn more ➡️
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How worried should we be about powerful new AI models like Anthropic's “Mythos,” which the company has deemed too dangerous for public release? I asked Council on Foreign Relations senior fellow Sebastian Mallaby, who has just written a new book called “The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence”:
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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"

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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?
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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?

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Demis Hassabis: AGI will be an intertwined model of Gemini, Genie and something like Nano Banana. Nano Banana shows first climps of AGI "It also has Gemini under the hood, it sort of understands what's going on semantically in those images, so I think that's sort of, it's getting towards a kind of AGIfor imaging" AGI will be the unification of the Genie 3, Nano Banana and Gemini models "And then eventually, we got to kind of converge all of those different projects. And they're intertwined. But we need to, you know, converge them all into one" Google seems to be doing everything right at the moment. With Genie 3, Gemini 3, and Nano Banana, they have all the prerequisites to create a general model that develops a true understanding of the real world.
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Demis Hassabis: AGI will be an intertwined model of Gemini, Genie and something like Nano Banana. Nano Banana shows first climps of AGI "It also has Gemini under the hood, it sort of understands what's going on semantically in those images, so I think that's sort of, it's getting towards a kind of AGIfor imaging" AGI will be the unification of the Genie 3, Nano Banana and Gemini models "And then eventually, we got to kind of converge all of those different projects. And they're intertwined. But we need to, you know, converge them all into one" Google seems to be doing everything right at the moment. With Genie 3, Gemini 3, and Nano Banana, they have all the prerequisites to create a general model that develops a true understanding of the real world.

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Google DeepMind CEO Demis Hassabis says their AlphaFold AI system has performed a billion years of PhD work and they will have their first drugs in the clinic by the end of the year, with cancer, heart disease and neurodegenerative diseases on the list of targets
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Google DeepMind CEO Demis Hassabis says their AlphaFold AI system has performed a billion years of PhD work and they will have their first drugs in the clinic by the end of the year, with cancer, heart disease and neurodegenerative diseases on the list of targets

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Google DeepMind CEO Demis Hassabis says the Nobel Prize-winning AlphaFold team are now working on the Virtual Cell Project, an AI simulation of biological cells which in 5 years will be able to aid in drug discovery and testing
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Google DeepMind CEO Demis Hassabis says the Nobel Prize-winning AlphaFold team are now working on the Virtual Cell Project, an AI simulation of biological cells which in 5 years will be able to aid in drug discovery and testing

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92,806 views • 1 year ago

Sir Demis Hassabis returns to Cambridge to offer insights into the future of Artificial General Intelligence (AGI). The Queens' College alumnus gave a lecture about how the AI tools Google DeepMind is developing have the capacity to greatly speed up discoveries in areas of science from health to the environment, and more. Find Sir Demis' full talk here 👇
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Sir Demis Hassabis returns to Cambridge to offer insights into the future of Artificial General Intelligence (AGI). The Queens' College alumnus gave a lecture about how the AI tools Google DeepMind is developing have the capacity to greatly speed up discoveries in areas of science from health to the environment, and more. Find Sir Demis' full talk here 👇

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39,294 views • 1 year ago