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World models like Odyssey-3 can now simulate general environments with far greater physical accuracy, all in real time. The knowledge learned by models like Odyssey-3 can also power robots, humanoids, driverless cars, and drones. And world models are just getting started!

21,665 次观看 • 6 天前 •via X (Twitter)

9 条评论

Oliver Cameron 的头像
Oliver Cameron6 天前

On top of the world 🫶

jhilemo 的头像
jhilemo6 天前

I use it and I love it, especially for the latest simulation I posted

PythonMan 的头像
PythonMan6 天前

Je suis content de cet avancé. Par contre on regarde de chaque côté avant de traverser la route !

Wayne Brown 的头像
Wayne Brown6 天前

Real enough that the toddler running out into the road made me wince. Good job!

Ernesto 的头像
Ernesto6 天前

mogged by Genie 4

ArcyDev 的头像
ArcyDev6 天前

What the hell is happening? Five years ago, this would've been unimaginable. Scratch that, even two years ago!

clankr 的头像
clankr6 天前

These environments look impressive. But seems like world models that arent spesific for robots still couldn't hold in physical interractions.

Dylan Swanepoel 的头像
Dylan Swanepoel6 天前

Real-time is the part that makes world models usable for agents. Simulating before acting is a big deal once robots and drones are in the loop.

Aadarsh 的头像
Aadarsh6 天前

How can I try these myself, these seem very cool.

相关视频

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 次观看 • 10 个月前