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Real-world capture is almost never complete. A missed corner, object, a room that didn't get enough viewpoints etc. leaving empty holes where the geometry should be. Our SOTA model Echo is built for that reality. It fills unscanned regions from surrounding visual context, so you still get a complete,...

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SpAItial AI

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15,543 Aufrufe • vor 1 Monat •via X (Twitter)

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🚀 Announcing Echo — our new frontier model for 3D world generation. Echo turns a simple text prompt or image into a fully explorable, 3D-consistent world. Instead of disconnected views, the result is a single, coherent spatial representation you can move through freely. This is part of a bigger shift in AI: from generating pixels and tokens to generating spaces. Echo predicts a geometry-grounded 3D scene at metric scale, meaning every novel view, depth map, and interaction comes from the same underlying world — not independent hallucinations. Once generated, the world is interactive in real time. You control the camera, explore from any angle, and render instantly — even on low-end hardware, directly in the browser. High-quality 3D world exploration is no longer gated by expensive equipment. Under the hood, Echo infers a physically grounded 3D representation and converts it into a renderable format. For our web demo, we use 3D Gaussian Splatting (3DGS) for fast, GPU-friendly rendering — but the representation itself is flexible and can be easily adapted. Why this matters: consistent 3D worlds unlock real workflows — digital twins, 3D design, game environments, robotics simulation, and more. From a single photo or a line of text, Echo builds worlds that are reliable, editable, and spatially faithful. Echo also enables scene editing and restyling. Change materials, remove or add objects, explore design variations — all while preserving global 3D consistency. Editing no longer breaks the world. This is only the beginning. Echo is the foundation for future world models with dynamics, physical reasoning, and richer interaction — environments that don’t just look right, but behave right. Explore the generated worlds on our website and sign up for the closed beta. The era of spatial intelligence starts here. 🌍 #Echo #WorldModels #SpatialAI #3DFoundationModels Check it out:
1:07

🚀 Announcing Echo — our new frontier model for 3D world generation. Echo turns a simple text prompt or image into a fully explorable, 3D-consistent world. Instead of disconnected views, the result is a single, coherent spatial representation you can move through freely. This is part of a bigger shift in AI: from generating pixels and tokens to generating spaces. Echo predicts a geometry-grounded 3D scene at metric scale, meaning every novel view, depth map, and interaction comes from the same underlying world — not independent hallucinations. Once generated, the world is interactive in real time. You control the camera, explore from any angle, and render instantly — even on low-end hardware, directly in the browser. High-quality 3D world exploration is no longer gated by expensive equipment. Under the hood, Echo infers a physically grounded 3D representation and converts it into a renderable format. For our web demo, we use 3D Gaussian Splatting (3DGS) for fast, GPU-friendly rendering — but the representation itself is flexible and can be easily adapted. Why this matters: consistent 3D worlds unlock real workflows — digital twins, 3D design, game environments, robotics simulation, and more. From a single photo or a line of text, Echo builds worlds that are reliable, editable, and spatially faithful. Echo also enables scene editing and restyling. Change materials, remove or add objects, explore design variations — all while preserving global 3D consistency. Editing no longer breaks the world. This is only the beginning. Echo is the foundation for future world models with dynamics, physical reasoning, and richer interaction — environments that don’t just look right, but behave right. Explore the generated worlds on our website and sign up for the closed beta. The era of spatial intelligence starts here. 🌍 #Echo #WorldModels #SpatialAI #3DFoundationModels Check it out:

SpAItial AI

176,524 Aufrufe • vor 8 Monaten

you numbered the steps so it could not get lost it does not get lost that list was written for a model that wandered, and this one plans better than the list does, so every number you added is a place where it is no longer allowed, to be smarter than you state the goal, the constraints, and how you will know it worked keep the numbers only where exactly one sequence is safe, which is deletes, auth and compliance the procedure felt like rigour it is a cage built to the dimensions of a model that is not in the room
1:21

you numbered the steps so it could not get lost it does not get lost that list was written for a model that wandered, and this one plans better than the list does, so every number you added is a place where it is no longer allowed, to be smarter than you state the goal, the constraints, and how you will know it worked keep the numbers only where exactly one sequence is safe, which is deletes, auth and compliance the procedure felt like rigour it is a cage built to the dimensions of a model that is not in the room

Lagosaur

14,857 Aufrufe • vor 6 Tagen

SceneScript treats 3D reconstruction as a language problem rather than a geometry one. The model watches a video of a room and just learns to write a script for it. It autoregressively spits out text commands like make_wall(...) or make_bbox(...) that define the scene. Stanford's new "Scene Language" paper goes a step further adding CLIP embeddings to capture visual appearance too. The fact that language models already understand spatial relationships well enough to write out scene graphs is pretty wild.
0:38

SceneScript treats 3D reconstruction as a language problem rather than a geometry one. The model watches a video of a room and just learns to write a script for it. It autoregressively spits out text commands like make_wall(...) or make_bbox(...) that define the scene. Stanford's new "Scene Language" paper goes a step further adding CLIP embeddings to capture visual appearance too. The fact that language models already understand spatial relationships well enough to write out scene graphs is pretty wild.

Bilawal Sidhu

107,093 Aufrufe • vor 1 Jahr

I'll spare you from watching the whole video - she was underage, wearing tight shorts and some guy took a video talking about it. She says she did nothing wrong - she's almost right. The thing she got wrong is expecting the world to be what it should be. Most problems can be traced to that today. People living in the world, angry it is not what they think it should be instead of recognizing it is what it is and you can ignore that and get bad outcomes, or recognize it and get better outcomes. It's really a choice between delusion and wisdom.
5:52

I'll spare you from watching the whole video - she was underage, wearing tight shorts and some guy took a video talking about it. She says she did nothing wrong - she's almost right. The thing she got wrong is expecting the world to be what it should be. Most problems can be traced to that today. People living in the world, angry it is not what they think it should be instead of recognizing it is what it is and you can ignore that and get bad outcomes, or recognize it and get better outcomes. It's really a choice between delusion and wisdom.

The Last Boy Scout

28,386 Aufrufe • vor 1 Monat

US Commerce Secretary Howard Lutnick tells the World Economic Forum to their faces that their policies has destroyed The West “Globalization has failed the West and the United States of America. It's a failed policy. It is what the WEF has stood for, which is export offshore, far shore, find the cheapest labor in the world, and the world is a better place for it. The fact is, it has left America behind. It has left the American workers behind and what we are here to say is that America First is a different model, one that we encourage other countries to consider, which is that our workers come first We can have policies that impact our workers. Sovereignty is your borders. You're entitled to have borders. - You shouldn't offshore your medicine - You shouldn't offshore your semiconductors - You shouldn't offshore your entire industrial base and have it be hollowed out beneath you - You should not be dependent for that which is fundamental to your sovereignty — So that is a different way of thinking. It is completely different than the WEF”
2:10

US Commerce Secretary Howard Lutnick tells the World Economic Forum to their faces that their policies has destroyed The West “Globalization has failed the West and the United States of America. It's a failed policy. It is what the WEF has stood for, which is export offshore, far shore, find the cheapest labor in the world, and the world is a better place for it. The fact is, it has left America behind. It has left the American workers behind and what we are here to say is that America First is a different model, one that we encourage other countries to consider, which is that our workers come first We can have policies that impact our workers. Sovereignty is your borders. You're entitled to have borders. - You shouldn't offshore your medicine - You shouldn't offshore your semiconductors - You shouldn't offshore your entire industrial base and have it be hollowed out beneath you - You should not be dependent for that which is fundamental to your sovereignty — So that is a different way of thinking. It is completely different than the WEF”

Wall Street Apes

26,824 Aufrufe • vor 7 Monaten

🚨 Terrence McKenna : DMT is a Reality Channel Switch Neurobiologist Andrew Gallimore just broke it down: DMT doesn’t tweak our world it builds entirely new hyperdimensional realities filled with hyperintelligent beings. “It’s not just an altered version of the normal waking world, but it’s a completely different model of reality.” How is the brain which is evolved for everyday life suddenly able to construct these bizarre alternate realities from a simple plant alkaloid? Do you think it shows you a glimpse of another reality? Or is it all in the brain? Have you ever broken through? Drop your experience below 👇
1:16

🚨 Terrence McKenna : DMT is a Reality Channel Switch Neurobiologist Andrew Gallimore just broke it down: DMT doesn’t tweak our world it builds entirely new hyperdimensional realities filled with hyperintelligent beings. “It’s not just an altered version of the normal waking world, but it’s a completely different model of reality.” How is the brain which is evolved for everyday life suddenly able to construct these bizarre alternate realities from a simple plant alkaloid? Do you think it shows you a glimpse of another reality? Or is it all in the brain? Have you ever broken through? Drop your experience below 👇

Interstellar

20,992 Aufrufe • vor 4 Monaten

📢 Announcing one of the most exciting works from us this year on **scalable robot policy evaluation through real-to-sim transfer**, moving toward a scalable evaluation engine with structured world models that capture the appearance, geometry, and dynamics of environments involving deformable objects. 🤖 Evaluation remains one of the biggest bottlenecks in building general-purpose robots. Today, robots are still evaluated only in the real world, which is **orders of magnitude slower** than the development of language agents. We propose a new framework where simulation performance **strongly correlates** with the real world (r > 0.9), even for deformable objects. The key difference from existing work lies in the correlation between simulation and reality: if a robot model performs better in the digital world, does it also perform better in the real world? This question has long made people hesitant about simulation-based evaluation — especially for deformable objects. We are changing that. Our pipeline achieves effective real-to-sim transfer, establishing **state-of-the-art correlation** between simulation and reality for deformable object manipulation. It provides a **scalable and reproducible evaluation engine** for robot learning. 🌐
3:04

📢 Announcing one of the most exciting works from us this year on **scalable robot policy evaluation through real-to-sim transfer**, moving toward a scalable evaluation engine with structured world models that capture the appearance, geometry, and dynamics of environments involving deformable objects. 🤖 Evaluation remains one of the biggest bottlenecks in building general-purpose robots. Today, robots are still evaluated only in the real world, which is **orders of magnitude slower** than the development of language agents. We propose a new framework where simulation performance **strongly correlates** with the real world (r > 0.9), even for deformable objects. The key difference from existing work lies in the correlation between simulation and reality: if a robot model performs better in the digital world, does it also perform better in the real world? This question has long made people hesitant about simulation-based evaluation — especially for deformable objects. We are changing that. Our pipeline achieves effective real-to-sim transfer, establishing **state-of-the-art correlation** between simulation and reality for deformable object manipulation. It provides a **scalable and reproducible evaluation engine** for robot learning. 🌐

Yunzhu Li

39,960 Aufrufe • vor 9 Monaten

People are just realizing something important. One of the largest real-world visual datasets for AI was built by millions of users… without them even knowing it. At Over the Reality, we believe this should work differently. We are building a global 3D map of the world through a community that maps real places on purpose, and gets rewarded for every meaningful contribution. People helping build the global 3D map of the world can earn from $1 to $3 for each location mapped with a smartphone, or up to $18 per hour using an Insta360 X5. Apply here:
0:23

People are just realizing something important. One of the largest real-world visual datasets for AI was built by millions of users… without them even knowing it. At Over the Reality, we believe this should work differently. We are building a global 3D map of the world through a community that maps real places on purpose, and gets rewarded for every meaningful contribution. People helping build the global 3D map of the world can earn from $1 to $3 for each location mapped with a smartphone, or up to $18 per hour using an Insta360 X5. Apply here:

Over the Reality 🌐

288,805 Aufrufe • vor 5 Monaten

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 Aufrufe • vor 8 Monaten

Introducing Teleport 2.0, a next-generation release for our 3D capture solution that sets a new benchmark in cloud-based Gaussian Splatting. Teleport 2.0 is all about lowering the barrier of entry to create and share lifelike 3D captures. New capabilities include: ▪️ Upgraded 3D reconstruction engine: Preserves real-world detail, even in large-scale scenes that can be captured in minutes and automatically processed without manual steps. ▪️Support for any camera: Capture with phones, drones, professional cameras, or other imaging devices. ▪️ Tools for creating engaging immersive experiences: Build virtual tours, or link multiple scans together to build massive explorable digital twins. Read more: #3D #DigitalTwin #GaussianSplatting
0:40

Introducing Teleport 2.0, a next-generation release for our 3D capture solution that sets a new benchmark in cloud-based Gaussian Splatting. Teleport 2.0 is all about lowering the barrier of entry to create and share lifelike 3D captures. New capabilities include: ▪️ Upgraded 3D reconstruction engine: Preserves real-world detail, even in large-scale scenes that can be captured in minutes and automatically processed without manual steps. ▪️Support for any camera: Capture with phones, drones, professional cameras, or other imaging devices. ▪️ Tools for creating engaging immersive experiences: Build virtual tours, or link multiple scans together to build massive explorable digital twins. Read more: #3D #DigitalTwin #GaussianSplatting

Varjo

21,242 Aufrufe • vor 1 Jahr

🚨 Sec. Marco Rubio just NAILED IT: "One of the criticisms you sometimes hear of communism is that it 'sounds good in theory, but it never works in practice.'" "That's actually NOT TRUE. Communism does NOT sound good in theory. The world that envisions for all of us is small, flat, gray, leveled of all exception, drained of all that is good and noble in the human soul." "The world that envisions is a world without courage, a world without creativity, or ambition, a world without heroes, or glory, or great causes to strive towards, without a world without miracles, without men who rise above the rest to do incredible and extraordinary things." "And the world communism envisions is a world without God." "For these architects of revolutionary violence, the towering achievement of our civilization, for them, it's an unbearable humiliation, a reminder of what they cannot do and a reminder of what they cannot be. So they choose instead to destroy." 💯
1:09

🚨 Sec. Marco Rubio just NAILED IT: "One of the criticisms you sometimes hear of communism is that it 'sounds good in theory, but it never works in practice.'" "That's actually NOT TRUE. Communism does NOT sound good in theory. The world that envisions for all of us is small, flat, gray, leveled of all exception, drained of all that is good and noble in the human soul." "The world that envisions is a world without courage, a world without creativity, or ambition, a world without heroes, or glory, or great causes to strive towards, without a world without miracles, without men who rise above the rest to do incredible and extraordinary things." "And the world communism envisions is a world without God." "For these architects of revolutionary violence, the towering achievement of our civilization, for them, it's an unbearable humiliation, a reminder of what they cannot do and a reminder of what they cannot be. So they choose instead to destroy." 💯

Eric Daugherty

354,828 Aufrufe • vor 1 Monat

Introducing WorldForge: testable world-model workflows for physical AI systems. You can think of it, loosely, as “LangChain for world models”. The problem is that “world model” has become an overloaded label. Depending on context, it can mean a video generator, a cost model, a robot policy, a JEPA-style latent predictor, etc. They share almost nothing, different inputs, runtimes, failure modes. I built WorldForge to stop pretending they're interchangeable. Front-door demo: a real Hugging Face LeRobot (LeRobot) diffusion_pusht policy combined with LeWorldModel by Lucas Maes checkpoint for scoring. Both run locally on my MacBook in the demo video. LeWM is extremely efficient (~15M params), can plan up to 48× faster, and runs on commodity hardware. WorldForge wires the loop: policy → candidates → score → select Replay happens in a local TUI today, but the same loop could drive a real robot in the world. Would love feedback from people working on world models, physical AI, robotics, ML infra, and adjacent tooling. Fully open source. Contributions very welcome. Plan in the dream, replay in real world.
16:27

Introducing WorldForge: testable world-model workflows for physical AI systems. You can think of it, loosely, as “LangChain for world models”. The problem is that “world model” has become an overloaded label. Depending on context, it can mean a video generator, a cost model, a robot policy, a JEPA-style latent predictor, etc. They share almost nothing, different inputs, runtimes, failure modes. I built WorldForge to stop pretending they're interchangeable. Front-door demo: a real Hugging Face LeRobot (LeRobot) diffusion_pusht policy combined with LeWorldModel by Lucas Maes checkpoint for scoring. Both run locally on my MacBook in the demo video. LeWM is extremely efficient (~15M params), can plan up to 48× faster, and runs on commodity hardware. WorldForge wires the loop: policy → candidates → score → select Replay happens in a local TUI today, but the same loop could drive a real robot in the world. Would love feedback from people working on world models, physical AI, robotics, ML infra, and adjacent tooling. Fully open source. Contributions very welcome. Plan in the dream, replay in real world.

abdel

17,001 Aufrufe • vor 4 Monaten

Lightspeed's Bucky Moore says the real opportunity in the AI app layer is in large industries far enough afield from where the model providers are today — and where the context engineering to get customer data into the model is extremely nuanced and messy. "I think this is kind of the elephant in the room right now — whether post-training open-source models combined with the unique user feedback you get from being an application provider is defensible enough." "That is going to be an inevitable challenge for any of these industries that hit a maturation point of AI adoption, like legal and software engineering have." "But on the other hand, there are some industries where they're very large, they're far enough afield from where the model providers are today — and probably will continue to be — and the context engineering to actually get the customer data into the model is just so messy. It requires going across different business functions, it requires a lot of hands-on forward-deployed engineering." "Those are the kind of companies that we get really excited about. Because I think being really good at that is not only defensible, but it also allows you to generate a feedback loop with your customers, where you hear a lot of their secrets. And those secrets allow you to feed that back into how you make your product better at the expense of anyone else playing in the space. Because if you're serving the customer, they're only serving you those secrets." "I think Palantir is a good example of this in the pre-AI era, and I think we're going to see many companies ascend in that same way."
2:28

Lightspeed's Bucky Moore says the real opportunity in the AI app layer is in large industries far enough afield from where the model providers are today — and where the context engineering to get customer data into the model is extremely nuanced and messy. "I think this is kind of the elephant in the room right now — whether post-training open-source models combined with the unique user feedback you get from being an application provider is defensible enough." "That is going to be an inevitable challenge for any of these industries that hit a maturation point of AI adoption, like legal and software engineering have." "But on the other hand, there are some industries where they're very large, they're far enough afield from where the model providers are today — and probably will continue to be — and the context engineering to actually get the customer data into the model is just so messy. It requires going across different business functions, it requires a lot of hands-on forward-deployed engineering." "Those are the kind of companies that we get really excited about. Because I think being really good at that is not only defensible, but it also allows you to generate a feedback loop with your customers, where you hear a lot of their secrets. And those secrets allow you to feed that back into how you make your product better at the expense of anyone else playing in the space. Because if you're serving the customer, they're only serving you those secrets." "I think Palantir is a good example of this in the pre-AI era, and I think we're going to see many companies ascend in that same way."

TBPN

46,886 Aufrufe • vor 5 Monaten

How many of you actually know how "what you eat" grows? 🤔 I never learned crop science in school. I learned it by walking around our farm with my father, who showed me different crops and explained how they grow. But not everyone has access to a farm, so I built a 3D Crop Science application in Three.js using Claude Opus 5 to make that learning experience more visual and interactive. It is an exploration of different types of seeds where each seed has three different stages. The first stage shows the whole seed. The second stage is a cross section that shows what is inside the seed and how it grows. The third stage shows the germination phase through a 3D model. There are 24 models in total. The original models were 1,349.6 MB, which Claude optimized down to just 11.6 MB in total. All of the 3D models were generated using Tripo 🔜 gamescom. Claude also created visual information for each seed showing details like seed type, storage tissue and germination phase. Each seed also has a YouTube video that shows how it actually grows in the real world. There is also a section showing where each seed is commonly grown using both a 3D globe and a flat map. You can explore different regions and click on specific areas to see more information about where that seed is grown. The entire experience is fully responsive and also includes quizzes that you can take in both normal and 3D formats. I strongly believe education becomes much more effective when you can see, interact, watch and explore instead of relying only on textbooks. Live: Code:
1:14

How many of you actually know how "what you eat" grows? 🤔 I never learned crop science in school. I learned it by walking around our farm with my father, who showed me different crops and explained how they grow. But not everyone has access to a farm, so I built a 3D Crop Science application in Three.js using Claude Opus 5 to make that learning experience more visual and interactive. It is an exploration of different types of seeds where each seed has three different stages. The first stage shows the whole seed. The second stage is a cross section that shows what is inside the seed and how it grows. The third stage shows the germination phase through a 3D model. There are 24 models in total. The original models were 1,349.6 MB, which Claude optimized down to just 11.6 MB in total. All of the 3D models were generated using Tripo 🔜 gamescom. Claude also created visual information for each seed showing details like seed type, storage tissue and germination phase. Each seed also has a YouTube video that shows how it actually grows in the real world. There is also a section showing where each seed is commonly grown using both a 3D globe and a flat map. You can explore different regions and click on specific areas to see more information about where that seed is grown. The entire experience is fully responsive and also includes quizzes that you can take in both normal and 3D formats. I strongly believe education becomes much more effective when you can see, interact, watch and explore instead of relying only on textbooks. Live: Code:

The Bugged Dev

43,549 Aufrufe • vor 5 Tagen

This is a resident video taken TODAY This is the Santa Ynez Reservoir in the Pacific Palisades that was empty and couldn’t be used to fight the fires As you can see, Gavin Newsom and Karen Bass have chosen to leave it empty. Primed for the next disaster (insane) Spencer Pratt “That this is the Santa Ynez Reservoir in the Pacific Palisades. This video is from today — It took the helicopters an extra 66% of their time, instead of fighting the fire, flying to Malibu to get water. So this looks pretty still empty.”
0:54

This is a resident video taken TODAY This is the Santa Ynez Reservoir in the Pacific Palisades that was empty and couldn’t be used to fight the fires As you can see, Gavin Newsom and Karen Bass have chosen to leave it empty. Primed for the next disaster (insane) Spencer Pratt “That this is the Santa Ynez Reservoir in the Pacific Palisades. This video is from today — It took the helicopters an extra 66% of their time, instead of fighting the fire, flying to Malibu to get water. So this looks pretty still empty.”

Wall Street Apes

571,801 Aufrufe • vor 1 Jahr

The cool thing about talking with Bernt is that he isn’t just a robotics CEO, he’s a deep AI thinker who’s been obsessed with this for decades. It's obvious to me that this is his life's purpose. While most robotic labs are chasing narrow, pre-programmed behaviors, 1X built a dynamics-first world model trained on video + robot sensors. It lets NEO generalize to completely new tasks out of the box, and get smarter through every failure - the same way humans do. Bernt says NEO doesn’t need to have seen every chore. It needs a World Model with enough human experience to imagine what should happen, a body dexterous enough to attempt it, and a real-world feedback loop sharp enough to correct it. That’s how we go from task automation to general-purpose labor.
1:23

The cool thing about talking with Bernt is that he isn’t just a robotics CEO, he’s a deep AI thinker who’s been obsessed with this for decades. It's obvious to me that this is his life's purpose. While most robotic labs are chasing narrow, pre-programmed behaviors, 1X built a dynamics-first world model trained on video + robot sensors. It lets NEO generalize to completely new tasks out of the box, and get smarter through every failure - the same way humans do. Bernt says NEO doesn’t need to have seen every chore. It needs a World Model with enough human experience to imagine what should happen, a body dexterous enough to attempt it, and a real-world feedback loop sharp enough to correct it. That’s how we go from task automation to general-purpose labor.

Roberto Nickson

26,039 Aufrufe • vor 3 Monaten

In the past few years, I have come across so many videos of muslim kids threatening and abusing Hindus. Never saw Arfa posting them and claiming that the radicalization of the Muslim community in India or in the world is complete. She never talked about the innocence and future of those muslim children who study Jihad in Madarsas. She saw one random video of a Hindu kid (who will probably get beaten up by his parents for speaking such things) and suddenly she declared that radicalisation of Hindu community is complete....lol This muslim child is saying that he is not a child, he is a bimb. I want to ask Arfa if the radicalisation of muslim community is complete or not?? You all should post videos and ask Arfa if radicalisation of muslim community is complete or not??
0:44

In the past few years, I have come across so many videos of muslim kids threatening and abusing Hindus. Never saw Arfa posting them and claiming that the radicalization of the Muslim community in India or in the world is complete. She never talked about the innocence and future of those muslim children who study Jihad in Madarsas. She saw one random video of a Hindu kid (who will probably get beaten up by his parents for speaking such things) and suddenly she declared that radicalisation of Hindu community is complete....lol This muslim child is saying that he is not a child, he is a bimb. I want to ask Arfa if the radicalisation of muslim community is complete or not?? You all should post videos and ask Arfa if radicalisation of muslim community is complete or not??

Incognito

20,698 Aufrufe • vor 5 Monaten