正在加载视频...

视频加载失败

返回首页

Most AI world models impress you for 20 seconds. The harder problem is making them stay coherent. That's what stood out to me in Robbyant's LingBot-World-Infinity. Instead of chasing another resolution headline, the paper focuses on reducing autoregressive drift the issue where small prediction errors compound until the world...

Shruti_0810's profile picture

Shruti Codes

107,339 subscribers

15,066 次观看 • 3 个月前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Most AI companies are still trying to generate better videos. The more interesting challenge is generating worlds. Not worlds that look impressive for 20 seconds. Worlds that stay coherent, respond to every action, and keep unfolding as you explore them. That's why LingBot-World 2.0 stands out. The engineering isn't just about visual quality. It's about solving one of the hardest problems in generative AI: keeping an interactive world stable over long horizons without falling apart. And the fact that Robbyant decided to open-source both the model and the agentic harness makes this release even more interesting. It feels less like another AI demo and more like infrastructure for what's coming next. Robbyant 💻 GitHub: 🎮 Try it: 🤗 Weights:
2:04

Most AI companies are still trying to generate better videos. The more interesting challenge is generating worlds. Not worlds that look impressive for 20 seconds. Worlds that stay coherent, respond to every action, and keep unfolding as you explore them. That's why LingBot-World 2.0 stands out. The engineering isn't just about visual quality. It's about solving one of the hardest problems in generative AI: keeping an interactive world stable over long horizons without falling apart. And the fact that Robbyant decided to open-source both the model and the agentic harness makes this release even more interesting. It feels less like another AI demo and more like infrastructure for what's coming next. Robbyant 💻 GitHub: 🎮 Try it: 🤗 Weights:

Darshal Jaitwar

136,611 次观看 • 3 个月前

Most AI world models can generate beautiful scenes. Keeping those scenes alive for an hour without falling apart is the real challenge. That's what caught my attention about LingBot-World 2.0 (LingBot-World-Infinity) from Robbyant Instead of chasing longer videos, it focuses on something much harder: persistent, interactive worlds that stay coherent while you explore. A few highlights: • Generates worlds from a single frame and continuously responds to live user actions through a causal world model. • Streams stable 720p at 60 FPS in real time. The team reports a continuous 60 minute stress test across 20 different scenarios with no noticeable visual degradation. • Uses a Brain-Cerebellum co-simulation framework where a VLM plans events while the video model turns them into consistent world evolution. • Pilot and Director Agents help drive character behavior and introduce new objects and events. • Open sourced with a 14B flagship model, while the paper also describes a lightweight 1.3B version for a single consumer GPU. There is also an online interactive demo. The biggest takeaway? We're moving beyond AI that generates clips. We're getting closer to AI that generates living, evolving worlds you can actually interact with. And that feels like a much bigger shift than another jump in video quality. Explore more: 💻 Github: 🤗 Weights: 🌐 Website-with videos you can use : 🎮 Try it online: #Robbyant #LingBot #WorldModel #EmbodiedAI #OpenSource #Robotics #ad
0:59

Most AI world models can generate beautiful scenes. Keeping those scenes alive for an hour without falling apart is the real challenge. That's what caught my attention about LingBot-World 2.0 (LingBot-World-Infinity) from Robbyant Instead of chasing longer videos, it focuses on something much harder: persistent, interactive worlds that stay coherent while you explore. A few highlights: • Generates worlds from a single frame and continuously responds to live user actions through a causal world model. • Streams stable 720p at 60 FPS in real time. The team reports a continuous 60 minute stress test across 20 different scenarios with no noticeable visual degradation. • Uses a Brain-Cerebellum co-simulation framework where a VLM plans events while the video model turns them into consistent world evolution. • Pilot and Director Agents help drive character behavior and introduce new objects and events. • Open sourced with a 14B flagship model, while the paper also describes a lightweight 1.3B version for a single consumer GPU. There is also an online interactive demo. The biggest takeaway? We're moving beyond AI that generates clips. We're getting closer to AI that generates living, evolving worlds you can actually interact with. And that feels like a much bigger shift than another jump in video quality. Explore more: 💻 Github: 🤗 Weights: 🌐 Website-with videos you can use : 🎮 Try it online: #Robbyant #LingBot #WorldModel #EmbodiedAI #OpenSource #Robotics #ad

Alif Khan

84,566 次观看 • 3 个月前

This World Model 'LingBot-World-Infinity (LingBot-World 2.0)' just released from Ant Group looks realy promising. It is an open causal world model with an Agentic harness. Most interactive world models hold together for a few minutes. Then textures smear and geometry warps. That's a video model, not a world — and Robbyant just drew the line at the attention mask. They released LingBot-World-Infinity (LingBot-World 2.0) — a 14B open causal video world model built on Wan2.2, trained with a Mixture of Bidirectional and Autoregressive (MoBA) attention mask, then distilled into a few-step real-time generator with no post-hoc drift filtering anywhere in the stack. Here's what's actually interesting: → Pure teacher forcing overfits — as context grows, the model leans on context instead of predicting frames. MoBA appends a bidirectional full-attention block as a regularizer → Leak-free cross-attention: AR rows attend to background prompt a_B plus chunk prompts a_≤i, lower-triangular. Bidirectional rows see one global prompt a_G → DMD runs over long self-rollout trajectories, not teacher-forced states — the student is optimized on the distribution its own errors induce → Director-Pilot harness: a VLM proposes event cards, the DiT generator renders physical dynamics. Mode B adds a SAM tracking loop for object-centric interaction → One 60-minute uninterrupted session, 20 distinct scenarios, no perceptible decay Full analysis: Paper: Model weight: GitHub Repo: Project: Ant Group Robbyant
0:48

This World Model 'LingBot-World-Infinity (LingBot-World 2.0)' just released from Ant Group looks realy promising. It is an open causal world model with an Agentic harness. Most interactive world models hold together for a few minutes. Then textures smear and geometry warps. That's a video model, not a world — and Robbyant just drew the line at the attention mask. They released LingBot-World-Infinity (LingBot-World 2.0) — a 14B open causal video world model built on Wan2.2, trained with a Mixture of Bidirectional and Autoregressive (MoBA) attention mask, then distilled into a few-step real-time generator with no post-hoc drift filtering anywhere in the stack. Here's what's actually interesting: → Pure teacher forcing overfits — as context grows, the model leans on context instead of predicting frames. MoBA appends a bidirectional full-attention block as a regularizer → Leak-free cross-attention: AR rows attend to background prompt a_B plus chunk prompts a_≤i, lower-triangular. Bidirectional rows see one global prompt a_G → DMD runs over long self-rollout trajectories, not teacher-forced states — the student is optimized on the distribution its own errors induce → Director-Pilot harness: a VLM proposes event cards, the DiT generator renders physical dynamics. Mode B adds a SAM tracking loop for object-centric interaction → One 60-minute uninterrupted session, 20 distinct scenarios, no perceptible decay Full analysis: Paper: Model weight: GitHub Repo: Project: Ant Group Robbyant

Marktechpost AI

233,449 次观看 • 3 个月前

Rick Rubin: "Make what you love, not what you think people will like" "If you want to live in a creative way, which will benefit everything in your life, be a better person in your family, do a better job starting a new business, it's all the same. I don't really know anything about music. It's more a way of looking at the world and wanting it to be the best it could possibly be. And doing whatever it takes to be the best it could possibly be." Rubin shares how his career happened: "From the beginning, I never thought any of the things I'm doing were possible or realistic. I just did things out of the love of them, thinking I would have real jobs. That my passion would be my hobby, and I'd have a job to support my hobby. And it just magically turned out different than that without me knowing it was possible." On why some things connect and others don't: "The stars line up at certain times for certain things to happen. Sometimes you can make something great, and it doesn't connect for whatever reason. Sometimes you make two things you think are the two best things you've ever made. One of them connects with the world. One of them doesn't. And it might not have anything to do with what's in the art. It might be that it came out the same day as something else. Or there was a bigger story at the time. There's so much to it that we don't understand." He continues: "All we can do is make something good and put it out and hope for the best. That's all there is. We never know why things work. Even if you make a piece of art and it works, you may not know why." On talent versus work ethic: "There are a lot of talented people who never make it because they don't have the work ethic. It's not just talent, talent's a piece. And you could argue for some people, the work ethic trumps the talent." Rubin explains what real collaboration is: "Having worked with a lot of bands, I see there's often this friction where people are trying to get their idea in. That's not a collaboration. A real collaboration is when everyone who's there is working together towards whatever is the best thing for the whole. Whether it's your idea or someone else's idea, it doesn't matter. If you're invested in the collaboration, you want the best idea to win. You don't want your idea to win." On what makes art great: "What makes it great is the personal. With all of its imperfections. With all of its quirkiness. That's what makes it great. How you see the world that's different from how everyone else sees the world. That's why you're an artist. That's your purpose in sharing your work with the world." He warns against being derivative: "There are these derivative voices where they're finding what they think other people want to hear, and they start saying it because they've heard other people say similar things that are now successful. Even if they have some short-term success doing that, it's not revolutionary. It doesn't change the world. It doesn't last. The people who you first see and you might not like that you come to like because you don't understand them at first, those are the ones that change the world. Those are the ones you dedicate your fandom to for life." Rubin shares his philosophy on taste: "You can't second-guess your own taste for what someone else is going to like. We're not smart enough to know what someone else is going to like. To make something thinking, 'Well, I don't really like it, but I think this group of people will like it,' it's a bad way to play the game of music or art. You have to do what's personal to you. Take it as far as you can go. Really push the boundaries. And people will resonate with it if they're supposed to resonate with it." He describes creativity as catching waves: "We're really talking about magic. The universe conspiring on our behalf if we let it. Being in this flow of catching these waves that anyone can catch. If you're trying to catch it, you're open to it, you see it coming, you take off on every chance you get. And sometimes the ride happens. It's remarkable how it happens. It doesn't come from preconception. It's not an idea. It's through the doing." Rubin explains how ideas exist in the universe: "Have you ever had that experience where you have an idea for something, you don't do it, and then six months later you see someone else has done it? It's not because they took your idea. It's that it's time for that, and you can act on it or not. The best artists are the ones who have the best antenna for this material that's available. It's coming through. The best comedians see the best jokes. They see them coming. We all live in the same world; the way you see it, you have the best joke because you see it best." He closes with how to stay open: "If we listen to what's going on around us, you can overhear a conversation in a coffee shop, and it is the setup for an idea you're working on. You hear a phrase you don't commonly use. My experience is: when you are open and looking for these clues in the world, they're happening all the time. And they're happening often right when you need them."
8:29

Rick Rubin: "Make what you love, not what you think people will like" "If you want to live in a creative way, which will benefit everything in your life, be a better person in your family, do a better job starting a new business, it's all the same. I don't really know anything about music. It's more a way of looking at the world and wanting it to be the best it could possibly be. And doing whatever it takes to be the best it could possibly be." Rubin shares how his career happened: "From the beginning, I never thought any of the things I'm doing were possible or realistic. I just did things out of the love of them, thinking I would have real jobs. That my passion would be my hobby, and I'd have a job to support my hobby. And it just magically turned out different than that without me knowing it was possible." On why some things connect and others don't: "The stars line up at certain times for certain things to happen. Sometimes you can make something great, and it doesn't connect for whatever reason. Sometimes you make two things you think are the two best things you've ever made. One of them connects with the world. One of them doesn't. And it might not have anything to do with what's in the art. It might be that it came out the same day as something else. Or there was a bigger story at the time. There's so much to it that we don't understand." He continues: "All we can do is make something good and put it out and hope for the best. That's all there is. We never know why things work. Even if you make a piece of art and it works, you may not know why." On talent versus work ethic: "There are a lot of talented people who never make it because they don't have the work ethic. It's not just talent, talent's a piece. And you could argue for some people, the work ethic trumps the talent." Rubin explains what real collaboration is: "Having worked with a lot of bands, I see there's often this friction where people are trying to get their idea in. That's not a collaboration. A real collaboration is when everyone who's there is working together towards whatever is the best thing for the whole. Whether it's your idea or someone else's idea, it doesn't matter. If you're invested in the collaboration, you want the best idea to win. You don't want your idea to win." On what makes art great: "What makes it great is the personal. With all of its imperfections. With all of its quirkiness. That's what makes it great. How you see the world that's different from how everyone else sees the world. That's why you're an artist. That's your purpose in sharing your work with the world." He warns against being derivative: "There are these derivative voices where they're finding what they think other people want to hear, and they start saying it because they've heard other people say similar things that are now successful. Even if they have some short-term success doing that, it's not revolutionary. It doesn't change the world. It doesn't last. The people who you first see and you might not like that you come to like because you don't understand them at first, those are the ones that change the world. Those are the ones you dedicate your fandom to for life." Rubin shares his philosophy on taste: "You can't second-guess your own taste for what someone else is going to like. We're not smart enough to know what someone else is going to like. To make something thinking, 'Well, I don't really like it, but I think this group of people will like it,' it's a bad way to play the game of music or art. You have to do what's personal to you. Take it as far as you can go. Really push the boundaries. And people will resonate with it if they're supposed to resonate with it." He describes creativity as catching waves: "We're really talking about magic. The universe conspiring on our behalf if we let it. Being in this flow of catching these waves that anyone can catch. If you're trying to catch it, you're open to it, you see it coming, you take off on every chance you get. And sometimes the ride happens. It's remarkable how it happens. It doesn't come from preconception. It's not an idea. It's through the doing." Rubin explains how ideas exist in the universe: "Have you ever had that experience where you have an idea for something, you don't do it, and then six months later you see someone else has done it? It's not because they took your idea. It's that it's time for that, and you can act on it or not. The best artists are the ones who have the best antenna for this material that's available. It's coming through. The best comedians see the best jokes. They see them coming. We all live in the same world; the way you see it, you have the best joke because you see it best." He closes with how to stay open: "If we listen to what's going on around us, you can overhear a conversation in a coffee shop, and it is the setup for an idea you're working on. You hear a phrase you don't commonly use. My experience is: when you are open and looking for these clues in the world, they're happening all the time. And they're happening often right when you need them."

Jaynit

109,609 次观看 • 7 个月前

World Model meets robot policy! Robbyant's LingBot-VA: unifies video world modeling and robotic policy learning. - A single model generates both future video and the actions to make it real. - Long-term memory enables long-horizon tasks. - Claims significant outperformance over π₀.₅ in real-world tasks. - It's open-source
1:33

World Model meets robot policy! Robbyant's LingBot-VA: unifies video world modeling and robotic policy learning. - A single model generates both future video and the actions to make it real. - Long-term memory enables long-horizon tasks. - Claims significant outperformance over π₀.₅ in real-world tasks. - It's open-source

The Humanoid Hub

17,721 次观看 • 9 个月前

#PixVerseWorldModel is doing something pretty interesting with AI video. One of the things that stood out to me is the WASD experience. AI video usually follows a simple workflow: write a prompt, generate a clip, and watch the result. With PixVerse World Model, you can actually move around inside the generated world, control the camera, and use prompts to influence the environment, characters, and actions as you move through the scene. The interesting part is how movement and prompting work together. Instead of generating a completely new clip every time you want something to change, you can keep interacting with the world and see how it responds. Text prompts start to feel less like instructions for generating a video and more like another way of interacting with the world itself. It makes PixVerse World Model feel less like traditional AI video and more like a playable, generated environment. Maybe the more interesting question for AI video isn’t just “what can it generate?” It’s “what can we actually do once we’re inside it?” Try now:
0:27

#PixVerseWorldModel is doing something pretty interesting with AI video. One of the things that stood out to me is the WASD experience. AI video usually follows a simple workflow: write a prompt, generate a clip, and watch the result. With PixVerse World Model, you can actually move around inside the generated world, control the camera, and use prompts to influence the environment, characters, and actions as you move through the scene. The interesting part is how movement and prompting work together. Instead of generating a completely new clip every time you want something to change, you can keep interacting with the world and see how it responds. Text prompts start to feel less like instructions for generating a video and more like another way of interacting with the world itself. It makes PixVerse World Model feel less like traditional AI video and more like a playable, generated environment. Maybe the more interesting question for AI video isn’t just “what can it generate?” It’s “what can we actually do once we’re inside it?” Try now:

Nayeem Sheikh

14,959 次观看 • 1 个月前

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.
0:26

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Harper Carroll

30,392 次观看 • 3 个月前

Rick Rubin tells Andrew Huberman how he deals with creative or writer’s block. He treats his work like a diary entry (and doesn’t worry about internal or external judgment): ➡️ “What's the cause of the block? The block is usually something that's either personal ("I'm not good enough") or it can be a confidence issue ("I don't have anything to say") or it could be...thinking about someone else ("nobody's going to like what I make"). Do you know what I'm saying? So, it's either fear of self-judgment or external judgment. If you're making something with a freedom of "this is something I'm making for myself for now", that is all [you have to do]. It is a diary entry. Everything I make is a diary entry. The beauty of a diary entry is that I can write my diary entry and you can't tell me that my diary entry wasn't good enough. Or that [the diary entry] is not what I experienced. Of course it's what I experienced: I'm writing a personal diary for myself and no one else can judge if it is my experience of my life. Everything we make can be that: a personal reflection of who we are in that moment of time. It doesn't have to be the greatest you could ever do. It doesn't have to have any expectation that it's going to change the world. It doesn't have to sell a certain number of copies for any reason. It doesn't have any of those things at all. It is "I'm making this thing for me and I want to do it to the best of my ability and to where I feel good about it". [The work] is honest of where I'm at and if you're living in this world of just being honest to where you're at, there's nothing blocking you. There are no blocks. The blocks are all based on dealing with a different force or a different perception that is made up.” ⬅️
2:34

Rick Rubin tells Andrew Huberman how he deals with creative or writer’s block. He treats his work like a diary entry (and doesn’t worry about internal or external judgment): ➡️ “What's the cause of the block? The block is usually something that's either personal ("I'm not good enough") or it can be a confidence issue ("I don't have anything to say") or it could be...thinking about someone else ("nobody's going to like what I make"). Do you know what I'm saying? So, it's either fear of self-judgment or external judgment. If you're making something with a freedom of "this is something I'm making for myself for now", that is all [you have to do]. It is a diary entry. Everything I make is a diary entry. The beauty of a diary entry is that I can write my diary entry and you can't tell me that my diary entry wasn't good enough. Or that [the diary entry] is not what I experienced. Of course it's what I experienced: I'm writing a personal diary for myself and no one else can judge if it is my experience of my life. Everything we make can be that: a personal reflection of who we are in that moment of time. It doesn't have to be the greatest you could ever do. It doesn't have to have any expectation that it's going to change the world. It doesn't have to sell a certain number of copies for any reason. It doesn't have any of those things at all. It is "I'm making this thing for me and I want to do it to the best of my ability and to where I feel good about it". [The work] is honest of where I'm at and if you're living in this world of just being honest to where you're at, there's nothing blocking you. There are no blocks. The blocks are all based on dealing with a different force or a different perception that is made up.” ⬅️

Trung Phan

1,652,628 次观看 • 2 年前

Distilled recap of the back-and-forth with Jensen on export controls: Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security? Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China. Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them. Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation. Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future? Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open. Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating. Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace. Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips. Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact. All five layers of the tech stack for AI are important. The United States ought to go win all five of them. in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.
3:53

Distilled recap of the back-and-forth with Jensen on export controls: Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security? Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China. Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them. Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation. Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future? Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open. Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating. Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace. Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips. Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact. All five layers of the tech stack for AI are important. The United States ought to go win all five of them. in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.

Dwarkesh Patel

1,255,385 次观看 • 6 个月前

Miller: Who lives in your country determines what your country is. Haiti doesn't work as a country. If you move it to America, it's not going to work here. Somalia doesn't work as a country. You take Somalia out of Somalia and put it here and it's not gonna work any better. If you move the third world to the first world, eventually we become the third world and that's not good for us and it's not good for anybody who wants to live here in the future.
0:47

Miller: Who lives in your country determines what your country is. Haiti doesn't work as a country. If you move it to America, it's not going to work here. Somalia doesn't work as a country. You take Somalia out of Somalia and put it here and it's not gonna work any better. If you move the third world to the first world, eventually we become the third world and that's not good for us and it's not good for anybody who wants to live here in the future.

Acyn

473,026 次观看 • 1 年前

🚨| Sir Lewis Hamilton: "I think (Africa) is the most beautiful part of the world and I don't like that the rest of the world owns so much of it and takes so much from it and no one speaks about it. And I'm really looking forward to and hoping that the people that are running those different countries all unite and come together and take Africa back." "That's what I want to see. Take it back from the French. Take it back from the Spanish. Take it back from Portuguese and the British." "It's so, so important for the future of that country and for that continent. I mean, they have all the resources to be the greatest and most powerful place in the world and that's probably why they are being controlled the way they are." [F1 2026 Australia Press Conference]
0:44

🚨| Sir Lewis Hamilton: "I think (Africa) is the most beautiful part of the world and I don't like that the rest of the world owns so much of it and takes so much from it and no one speaks about it. And I'm really looking forward to and hoping that the people that are running those different countries all unite and come together and take Africa back." "That's what I want to see. Take it back from the French. Take it back from the Spanish. Take it back from Portuguese and the British." "It's so, so important for the future of that country and for that continent. I mean, they have all the resources to be the greatest and most powerful place in the world and that's probably why they are being controlled the way they are." [F1 2026 Australia Press Conference]

sim

1,546,320 次观看 • 8 个月前

Mikel Arteta on Ezri Konsa and Gabriel Magalhães's defensive partnership: "They have a lot of quality. They have so much physicality. I mean, to constantly deal with that kind of balls that we predicted, 50 balls in the air, and I don't know how many we had, but it will be really close to that. "It's not only that, it's what happens after that ball as well, and the consequences to that and to be on it constantly because every action is at the limit is very, very tough. "And when you think that's done, then Chris Wood comes in, Hudson-Odoi comes in, and then you start to have a different problem. Now you are man-to-man with the 2 centre-backs, which is a different element of risk. But that's the Premier League, that's the quality of it, and that's the best league in the world."
0:48

Mikel Arteta on Ezri Konsa and Gabriel Magalhães's defensive partnership: "They have a lot of quality. They have so much physicality. I mean, to constantly deal with that kind of balls that we predicted, 50 balls in the air, and I don't know how many we had, but it will be really close to that. "It's not only that, it's what happens after that ball as well, and the consequences to that and to be on it constantly because every action is at the limit is very, very tough. "And when you think that's done, then Chris Wood comes in, Hudson-Odoi comes in, and then you start to have a different problem. Now you are man-to-man with the 2 centre-backs, which is a different element of risk. But that's the Premier League, that's the quality of it, and that's the best league in the world."

Connor Humm

34,713 次观看 • 15 天前

What you're looking at started as something that most people drive past without a second thought. - Industrial - boring - overlooked And someone looked at it and saw something no one else was seeing. That's the whole game here. You don't have to invent something brand new to make serious money. You just have to see potential where everyone else sees limitations. You have to look at what already exists and imagine it just a little differently. So when you turn something familiar into something unexpected, it becomes shareable and memorable. It becomes the thing that people can't stop talking about because it's different in a world where everything feels the same. People will literally travel hours just to stay somewhere like this because different is the experience now. Nobody cares about another cookie cutter hotel room that they've seen a thousand times, but this gets filmed and posted and sent to friends with the caption "you have to see this place" And suddenly you're booked out months in advance because you gave something people can't get anywhere else. I love that the raw materials here aren't special, it's just space that was sitting there unused and cheap to acquire The success of this is found in the willingness to look at what everyone else ignored and ask "what could this become?" Instead of just accepting what currently is. That's where the opportunity is. There are thousands of: - shipping containers rotting in fields - old grain silos sitting empty - warehouses no one's using - barns that haven't been touched in decades And every single one of them could become something people would pay to experience if someone just had the vision to see it through. You don't need to build it from scratch. You just need to reimagine what's already sitting in front of you. Because the world is full of overlooked things waiting for someone to look at them differently. And I don't care if AI generated the video because the inspiration you get from it is still the same.
1:36

What you're looking at started as something that most people drive past without a second thought. - Industrial - boring - overlooked And someone looked at it and saw something no one else was seeing. That's the whole game here. You don't have to invent something brand new to make serious money. You just have to see potential where everyone else sees limitations. You have to look at what already exists and imagine it just a little differently. So when you turn something familiar into something unexpected, it becomes shareable and memorable. It becomes the thing that people can't stop talking about because it's different in a world where everything feels the same. People will literally travel hours just to stay somewhere like this because different is the experience now. Nobody cares about another cookie cutter hotel room that they've seen a thousand times, but this gets filmed and posted and sent to friends with the caption "you have to see this place" And suddenly you're booked out months in advance because you gave something people can't get anywhere else. I love that the raw materials here aren't special, it's just space that was sitting there unused and cheap to acquire The success of this is found in the willingness to look at what everyone else ignored and ask "what could this become?" Instead of just accepting what currently is. That's where the opportunity is. There are thousands of: - shipping containers rotting in fields - old grain silos sitting empty - warehouses no one's using - barns that haven't been touched in decades And every single one of them could become something people would pay to experience if someone just had the vision to see it through. You don't need to build it from scratch. You just need to reimagine what's already sitting in front of you. Because the world is full of overlooked things waiting for someone to look at them differently. And I don't care if AI generated the video because the inspiration you get from it is still the same.

Chris Koerner

18,318 次观看 • 8 个月前

Robbyant released LingBot-World 2.0 (Infinity), a new open-source World model capable of generating hour-long experiences. > No quality decay, stable 720p / 60 fps real-time output. > Users can interact with the world via Actions. > The world is dynamic, with built-in agents generating new events in real time. > Multiplayer is supported within the same world. Testing time 👀
0:47

Robbyant released LingBot-World 2.0 (Infinity), a new open-source World model capable of generating hour-long experiences. > No quality decay, stable 720p / 60 fps real-time output. > Users can interact with the world via Actions. > The world is dynamic, with built-in agents generating new events in real time. > Multiplayer is supported within the same world. Testing time 👀

🚨 AI News | TestingCatalog

15,272 次观看 • 3 个月前

Millions of people are asking AI to find them a profitable trading strategy. The problem is AI will find one even where it doesn't exist One quant proved it. He gave an AI agent 4 years of prices with, by design, no pattern in them whatsoever. Pure noise The agent came back with a long/short strategy and a Sharpe of 2.1 on the backtest. It even added a paragraph explaining the economics of an effect that doesn't exist in nature It didn't lie on purpose. It just found a pattern where there was none And that's the scariest part. Because that's exactly how any AI will behave when you hand it your idea. It will always hand you back a beautiful curve, and you'll believe it, because it looks perfect 89% of retail traders lost money last year. Not because they had no ideas. Because not one of their ideas ever went through this kind of test That's why generating strategies is worth nothing. Anyone and anything can draw a profit on history Only one thing matters: testing on data the strategy has never seen. The moment the beautiful curve either survives or falls apart That's the whole difference between a hedge fund and a trader who blows up. A fund doesn't trust any curve until it's been through fire. It kills 97 ideas out of 100 before risking a single cent I ran the most-cited quant strategies in history through exactly this test, with AI. Momentum on BTC returned +1,537%. Carry trade on currencies fell apart and showed its premium is dead. And it was the one that fell apart that would have saved me money AI will draw you a strategy in seconds. The only question is whether you test it before it tests your account You can try it here: How to set up that test for yourself, the same one that separates a hedge fund from a casino, is in the article below
0:25

Millions of people are asking AI to find them a profitable trading strategy. The problem is AI will find one even where it doesn't exist One quant proved it. He gave an AI agent 4 years of prices with, by design, no pattern in them whatsoever. Pure noise The agent came back with a long/short strategy and a Sharpe of 2.1 on the backtest. It even added a paragraph explaining the economics of an effect that doesn't exist in nature It didn't lie on purpose. It just found a pattern where there was none And that's the scariest part. Because that's exactly how any AI will behave when you hand it your idea. It will always hand you back a beautiful curve, and you'll believe it, because it looks perfect 89% of retail traders lost money last year. Not because they had no ideas. Because not one of their ideas ever went through this kind of test That's why generating strategies is worth nothing. Anyone and anything can draw a profit on history Only one thing matters: testing on data the strategy has never seen. The moment the beautiful curve either survives or falls apart That's the whole difference between a hedge fund and a trader who blows up. A fund doesn't trust any curve until it's been through fire. It kills 97 ideas out of 100 before risking a single cent I ran the most-cited quant strategies in history through exactly this test, with AI. Momentum on BTC returned +1,537%. Carry trade on currencies fell apart and showed its premium is dead. And it was the one that fell apart that would have saved me money AI will draw you a strategy in seconds. The only question is whether you test it before it tests your account You can try it here: How to set up that test for yourself, the same one that separates a hedge fund from a casino, is in the article below

qwinsi

48,004 次观看 • 1 个月前

. Michael Saylor remembers when he lost $6 billion of paper wealth back in 2000 - and why, in comparison the last 7 months of pain are nothing to him. "We were three days from bankruptcy. So when people are like, 'oh yeah you're down 20%, are you stressed out?' - no, I'm not stressed out." "Seven months ago we were at an all time high. You can't even make a baby in seven months. Ten years is normal. Seven months is a blink." "That's the feature. That's what makes it interesting. It's the most interesting thing in the world. It's the most liquid, most tradable thing in the world." Strategy
2:41

. Michael Saylor remembers when he lost $6 billion of paper wealth back in 2000 - and why, in comparison the last 7 months of pain are nothing to him. "We were three days from bankruptcy. So when people are like, 'oh yeah you're down 20%, are you stressed out?' - no, I'm not stressed out." "Seven months ago we were at an all time high. You can't even make a baby in seven months. Ten years is normal. Seven months is a blink." "That's the feature. That's what makes it interesting. It's the most interesting thing in the world. It's the most liquid, most tradable thing in the world." Strategy

MR SHIFT 🦁

57,647 次观看 • 4 个月前

I am stocked to announce that I won the OpenAI Developers Codex x Mollie Hacka Worldwide Hackathon in Paris. 60+ builders, every one of us working solo, one day to ship. I built mine around a single question: who gets to own intelligence? The default answer is scary. You hand your data to a handful of labs, they train the model, they own it, and you rent back a thin slice of what your own data made possible. That is the bargain on the table today. I do not accept it. So I built Lensemble: a Tapestry like distributed training platform for JEPA based World Models. What does it enable: World Models that a community improves together, keeps sovereign, and co-owns. Two bets sit underneath it. First, the paradigm. Language models predict the next token. Powerful for text, a dead end for the physical world. A robot does not need to autocomplete sentences, it needs to predict what happens next in the world. That is what JEPA does: it learns by predicting representations instead of pixels or tokens. I am convinced world models are the most underrated paradigm in AI right now, and the closest thing we have to a ChatGPT moment for robotics. Second, the politics. Your raw trajectories never leave your machine. Each participant trains locally against a shared protocol and ships only an update, never the data. A federated round folds those updates into one shared world model, a LeWorldModel based model, and the gain is measured, not claimed: a 12k-parameter adapter on a frozen backbone, held-out prediction error down about 12 percent, the model measurably less surprised by the world. Then the upside is split by contribution weight, so the people who improved the model own a share of what it earns. This is the thesis behind Project Tapestry, the AI Alliance and Yann LeCun's push for federated, sovereign frontier AI, carried into world models and robotics. Call it Tapestry for the physical world. All of it built solo, in a single day, with Codex as my pair the whole way. Thank you to OpenAI Codex and Mollie for backing builders who ship real things, and to Boris and the organizing crew for the room and the standard you set. Intelligence the world improves, and the world owns. That is the future I want for my kids, and the one I will keep building.
1:13

I am stocked to announce that I won the OpenAI Developers Codex x Mollie Hacka Worldwide Hackathon in Paris. 60+ builders, every one of us working solo, one day to ship. I built mine around a single question: who gets to own intelligence? The default answer is scary. You hand your data to a handful of labs, they train the model, they own it, and you rent back a thin slice of what your own data made possible. That is the bargain on the table today. I do not accept it. So I built Lensemble: a Tapestry like distributed training platform for JEPA based World Models. What does it enable: World Models that a community improves together, keeps sovereign, and co-owns. Two bets sit underneath it. First, the paradigm. Language models predict the next token. Powerful for text, a dead end for the physical world. A robot does not need to autocomplete sentences, it needs to predict what happens next in the world. That is what JEPA does: it learns by predicting representations instead of pixels or tokens. I am convinced world models are the most underrated paradigm in AI right now, and the closest thing we have to a ChatGPT moment for robotics. Second, the politics. Your raw trajectories never leave your machine. Each participant trains locally against a shared protocol and ships only an update, never the data. A federated round folds those updates into one shared world model, a LeWorldModel based model, and the gain is measured, not claimed: a 12k-parameter adapter on a frozen backbone, held-out prediction error down about 12 percent, the model measurably less surprised by the world. Then the upside is split by contribution weight, so the people who improved the model own a share of what it earns. This is the thesis behind Project Tapestry, the AI Alliance and Yann LeCun's push for federated, sovereign frontier AI, carried into world models and robotics. Call it Tapestry for the physical world. All of it built solo, in a single day, with Codex as my pair the whole way. Thank you to OpenAI Codex and Mollie for backing builders who ship real things, and to Boris and the organizing crew for the room and the standard you set. Intelligence the world improves, and the world owns. That is the future I want for my kids, and the one I will keep building.

abdel

20,257 次观看 • 4 个月前

Stephen Fry, "The world is upside down, and yes as an old leftie who has always thought that spending on defence is criminal and terrible in a world of poverty and famine. But it's changed my view" "That's what you have to do when the world changes, you can't stay the same" "I believe in institutions. I believe in the rule of law. These are the things Trump doesn't believe in" "We know that because he's a convicted felon" "We have to come to a conclusion that the left and right in Britain have far more in common with each other than they do with Trump and the tyrants in the world" "And we have to find an alliance between us and if that involves higher spending on defence, then unfortunately, so be it"
1:30

Stephen Fry, "The world is upside down, and yes as an old leftie who has always thought that spending on defence is criminal and terrible in a world of poverty and famine. But it's changed my view" "That's what you have to do when the world changes, you can't stay the same" "I believe in institutions. I believe in the rule of law. These are the things Trump doesn't believe in" "We know that because he's a convicted felon" "We have to come to a conclusion that the left and right in Britain have far more in common with each other than they do with Trump and the tyrants in the world" "And we have to find an alliance between us and if that involves higher spending on defence, then unfortunately, so be it"

Farrukh

390,737 次观看 • 1 年前