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Demis Hassabis 2026 AI predictions: Agentic systems will transform how we work. Robotics is about to level up. And world models will unlock new potential on edge devices. The future is closer than you think. Holy moly.

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37,105 görüntüleme • 6 ay önce •via X (Twitter)

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Why I’m bullish on AI in 2026 2026 feels like the year AI becomes impossible to ignore. Not because of better chatbots, but because AI starts doing real work. Agents will run tasks end to end, humanoid robots will actually work in factories, and suddenly the labor market feels very different. That’s when the disbelief fades. Demis Hassabis basically confirmed it: reliable agentic systems, a real robotics push, useful on-device assistants, and world models that let AI plan in the real world. That combo is explosive. Once people see robots on factory floors and AI agents quietly replacing office tasks, the conversation changes. AI stops being hype and starts being reality. That’s why 2026 matters

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I’m fully with Demis Hassabis on this. STEM still matters deeply, not because humans will outcode AI, but because we need to understand, steer, and define problems at a high level. At the same time, AI is blowing the doors open for creativity. When technical barriers fall, taste, judgment, and vision become the real edge. The future belongs to people who know what to build and why, not just how. Do you think schools are preparing kids for that reality or are they still training them for a world that’s already gone?

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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.

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🚨 BREAKING: Google DeepMind CEO Demis Hassabis says AGI could arrive by 2030. And the impact will go far beyond software. Drug discovery could shrink from 10+ years to days AI may unlock entirely new scientific breakthroughs. At AI Ascent 2026, Demis Hassabis outlined what’s coming next: But he also made one thing clear: Today’s AI is still limited. And the next 1–2 years will be critical in shaping what happens next. The bigger shift: Watch the full talk below:

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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?

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Demis Hassabis is calling on philosophers to step in. He says technologists shouldn't decide AGI's future alone. “We need a new Kant or Wittgenstein to help map out where society should go next.” Politics, ethics, and theology will be essential to navigating a post-AGI world.

Demis Hassabis is calling on philosophers to step in. He says technologists shouldn't decide AGI's future alone. “We need a new Kant or Wittgenstein to help map out where society should go next.” Politics, ethics, and theology will be essential to navigating a post-AGI world.

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