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Think about what this actually replaces. Game sales become subscription-based world creation. DLCs become real-time environment customization. Studios become world generation systems. Buzzy is not a gaming tool. It is a preview of what the entire industry infrastructure looks like when AI removes the bottleneck between imagination and execution.... show more

SARAH

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38,742 次观看 • 3 个月前 •via X (Twitter)

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The new Victoria VR website is live. We continue to evolve our journey with AI. Victoria VR is more than a virtual world, it’s an AI-driven platform where creation is powered by intelligence itself. Imagine writing a single sentence and watching it become a living world. AI generates the architecture. AI populates it with avatars. AI gives them memory, logic, and awareness. This is creation redefined, where generative AI meets virtual reality, and imagination meets execution. Welcome to the foundation layer of the immersive internet. Discover the new Victoria VR: Victoria VR, a world where anything is possible.

The new Victoria VR website is live. We continue to evolve our journey with AI. Victoria VR is more than a virtual world, it’s an AI-driven platform where creation is powered by intelligence itself. Imagine writing a single sentence and watching it become a living world. AI generates the architecture. AI populates it with avatars. AI gives them memory, logic, and awareness. This is creation redefined, where generative AI meets virtual reality, and imagination meets execution. Welcome to the foundation layer of the immersive internet. Discover the new Victoria VR: Victoria VR, a world where anything is possible.

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🚨 THE WORLD IS A STAGE THE JEFFERY EPSTEIN "LOOKALIKE" AKA PALM BEACH PETE HAS SEEMINGLY BECOME A CELEBRITY OUT OF NOWHERE... Does anyone else find this bizarre how popular this man has become all because he looks like Jeffery? Or, what if this is really Jeffery? What do you think?

🚨 THE WORLD IS A STAGE THE JEFFERY EPSTEIN "LOOKALIKE" AKA PALM BEACH PETE HAS SEEMINGLY BECOME A CELEBRITY OUT OF NOWHERE... Does anyone else find this bizarre how popular this man has become all because he looks like Jeffery? Or, what if this is really Jeffery? What do you think?

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Nick Fuentes: “I think that a lot of the anti-Israel or anti-Jewish stuff, let’s be honest, it is on its way out. It has become passé and people are tired of it. It’s become stale and it’s become a drag.” This is the sentiment in the antisemitic world.

Nick Fuentes: “I think that a lot of the anti-Israel or anti-Jewish stuff, let’s be honest, it is on its way out. It has become passé and people are tired of it. It’s become stale and it’s become a drag.” This is the sentiment in the antisemitic world.

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MLS reffs when it comes to officiate Miami, they become the worst in the world. How on earth is this not a PENALTY ?

MLS reffs when it comes to officiate Miami, they become the worst in the world. How on earth is this not a PENALTY ?

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Elon Musk gave the entire entertainment industry its expiration date, and he is the one building the thing that kills it. Musk: “My guess is that we see the first compelling half hour, pure AI show next year.” Next year. A complete show generated entirely by AI. No writers. No actors. No cameras. No sets. No crew. No studio. Just a prompt and enough compute to render a reality that never physically existed. And shows are the easy part. Musk: “I say probably we’re maybe three years away from AI does the whole video game.” A show plays the same way every time. A game has to generate a living world that reacts to every decision in real time across every single frame. That is a fundamentally harder class of problem. And Musk put three years on it. Right now a single AAA title takes seven years and half a billion dollars across thousands of engineers and artists just to ship it. Musk is describing a world where one person types a paragraph and gets something comparable. The entire value proposition of a multi-billion dollar industry lives inside that gap. And it closes in thirty-six months. But the prediction is not the story. The person making it is. This is not an analyst speculating from the sidelines. This is the man building the largest AI compute clusters on the planet. The man who built xAI from zero in under two years. The man stacking hundreds of thousands of GPUs into facilities designed to do exactly what he is describing. When Musk says three years, he is not guessing about what someone else might eventually ship. He is reading you a delivery date off his own roadmap. Every media company on Earth is valued on a single assumption. That quality content is expensive and difficult to produce at scale. That one assumption is the structural foundation underneath every studio, every network, and every publisher in existence. Musk is dismantling it with raw compute. The studios still parading thousand-person production teams are not demonstrating strength. They are advertising the exact cost structure that one person with a prompt and a GPU allocation is about to make irrelevant. And it does not stop at entertainment. If AI can generate an interactive world that responds to human input in real time, it can generate anything. Advertising. Architecture. Training simulations. Product design. Every industry built on humans manually constructing visual experiences frame by frame is sitting on the same countdown Musk just read out loud. Now zoom out. Because this is not just an industry story. For the entire history of human civilization, the distance between imagining a world and actually creating one required thousands of people, millions of hours, and billions of dollars. That distance built Hollywood. That distance built the gaming industry. That distance made content scarce and studios powerful. Musk is collapsing that distance to zero. When the gap between imagining something and it existing disappears, every business model built on the difficulty of creation disappears with it. That is not disruption. That is a full inversion of how human beings create. Musk did not make a casual prediction on that podcast. He told you what he is building. He told you the timeline. And he told you which industries do not survive it. The entertainment industry is still debating whether this future is real. Musk is not part of that debate. He is building. And he just told you the delivery date.

Elon Musk gave the entire entertainment industry its expiration date, and he is the one building the thing that kills it. Musk: “My guess is that we see the first compelling half hour, pure AI show next year.” Next year. A complete show generated entirely by AI. No writers. No actors. No cameras. No sets. No crew. No studio. Just a prompt and enough compute to render a reality that never physically existed. And shows are the easy part. Musk: “I say probably we’re maybe three years away from AI does the whole video game.” A show plays the same way every time. A game has to generate a living world that reacts to every decision in real time across every single frame. That is a fundamentally harder class of problem. And Musk put three years on it. Right now a single AAA title takes seven years and half a billion dollars across thousands of engineers and artists just to ship it. Musk is describing a world where one person types a paragraph and gets something comparable. The entire value proposition of a multi-billion dollar industry lives inside that gap. And it closes in thirty-six months. But the prediction is not the story. The person making it is. This is not an analyst speculating from the sidelines. This is the man building the largest AI compute clusters on the planet. The man who built xAI from zero in under two years. The man stacking hundreds of thousands of GPUs into facilities designed to do exactly what he is describing. When Musk says three years, he is not guessing about what someone else might eventually ship. He is reading you a delivery date off his own roadmap. Every media company on Earth is valued on a single assumption. That quality content is expensive and difficult to produce at scale. That one assumption is the structural foundation underneath every studio, every network, and every publisher in existence. Musk is dismantling it with raw compute. The studios still parading thousand-person production teams are not demonstrating strength. They are advertising the exact cost structure that one person with a prompt and a GPU allocation is about to make irrelevant. And it does not stop at entertainment. If AI can generate an interactive world that responds to human input in real time, it can generate anything. Advertising. Architecture. Training simulations. Product design. Every industry built on humans manually constructing visual experiences frame by frame is sitting on the same countdown Musk just read out loud. Now zoom out. Because this is not just an industry story. For the entire history of human civilization, the distance between imagining a world and actually creating one required thousands of people, millions of hours, and billions of dollars. That distance built Hollywood. That distance built the gaming industry. That distance made content scarce and studios powerful. Musk is collapsing that distance to zero. When the gap between imagining something and it existing disappears, every business model built on the difficulty of creation disappears with it. That is not disruption. That is a full inversion of how human beings create. Musk did not make a casual prediction on that podcast. He told you what he is building. He told you the timeline. And he told you which industries do not survive it. The entertainment industry is still debating whether this future is real. Musk is not part of that debate. He is building. And he just told you the delivery date.

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Just one rain and this is what Bangalore looks like! The so-called IT hub is now looking more like a water world. Despite a massive ₹19,930 Cr budget, the city sinks every time it rains—no planning, no proper infrastructure. When will this ever change? #Bangalore #Karnataka #bangluru

Just one rain and this is what Bangalore looks like! The so-called IT hub is now looking more like a water world. Despite a massive ₹19,930 Cr budget, the city sinks every time it rains—no planning, no proper infrastructure. When will this ever change? #Bangalore #Karnataka #bangluru

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President Trump: Crypto is a big industry. It's become -- actually become somewhat mainstream. The banks have it. People have it. And I think as the leader of the country, we want to lead in AI. We're leading China by a lot in AI. And we're also leading in crypto.

President Trump: Crypto is a big industry. It's become -- actually become somewhat mainstream. The banks have it. People have it. And I think as the leader of the country, we want to lead in AI. We're leading China by a lot in AI. And we're also leading in crypto.

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From the narrator's accent this is a park in Birmingham. What looks to be mainly Muslims in the park, soiled nappies are abandoned, litter is strewn everywhere. No f**ks given. Altogether now, import the 3rd World, become the 3rd World.

From the narrator's accent this is a park in Birmingham. What looks to be mainly Muslims in the park, soiled nappies are abandoned, litter is strewn everywhere. No f**ks given. Altogether now, import the 3rd World, become the 3rd World.

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AI Is Moving Beyond “Generating Videos” — Toward “Generating Worlds” Over the past two years, AI video models have advanced at an astonishing pace. From Runway and Pika to Sora and Veo, AI-generated videos have become increasingly realistic and more consistent with the physical laws of the real world. Many people believe the next objective is simply to generate videos that are longer, sharper, and more lifelike. But if we take a step back, we can see that the real transformation is not happening in video itself. It is happening in world models. What Is a World Model? In 1943, psychologist Kenneth Craik proposed an idea that would influence artificial intelligence research for decades. He argued that the human brain does not merely react to the outside world. Instead, it maintains an internal model of how the world works. Because we have this internal model, we can predict the outcome of an action before we actually take it. Before crossing a road, we estimate whether a car will pass by. Before catching a ball, we predict its trajectory. These abilities come from continuously simulating the world in our minds, rather than relying entirely on trial and error. This idea later became known by a more formal term: World Model. A world model does not describe a single image or a fixed video clip. It is an internal representation capable of continuously simulating the rules and dynamics of the real world. Why Is AI Research Turning Toward World Models? Because predicting “what comes next” is becoming increasingly central to how AI systems work. Language models predict the next token. Image models predict the next step in the denoising process. Video models predict the next frame. A world model, however, attempts to predict something broader: What should the world look like in the next moment? In 2018, David Ha and Jürgen Schmidhuber proposed in their paper World Models that an intelligent agent could first learn a model of the world, and then use that internal model to plan its actions. The Dreamer series later demonstrated that many complex tasks could be learned by training agents inside an “imagined world.” At the same time, the development of video models such as Sora and Veo led researchers to another realization: A model capable of continuously generating video has already learned, at least implicitly, many of the rules governing the real world. As a result, these two research directions have gradually begun to converge. But Video Is Not Yet a World This is where the distinction is often misunderstood. For a world model to support meaningful real-time interaction, it must solve several critical problems. Most video models today are essentially answering one question: What should the next frame look like? A true world model needs to answer much more: What happens if I take one step forward? If I walk behind a building and then return, will the building still be there? If I suddenly change the camera angle, will the entire space remain consistent? If I enter a command such as: “Summon a dragon.” Will the world respond immediately? In other words, a world model must do more than generate content. It must understand space. It must understand time. It must understand causality. And it must understand interaction. Moving from watching to participating is where the real difficulty of world models begins. World Models Are Entering the Interactive Era One of the latest attempts in this direction is Alaya World, recently open-sourced by Alaya World, or Alaya Lab. Instead of generating a fixed video clip, it generates a world that users can explore in real time. Users can begin with text, an image, or a video, enter the generated scene, move freely through it, and introduce new prompts at any moment during generation. The world responds immediately. According to the publicly released information, Alaya World provides: Real-time streaming generation at 720p and 24 FPS Stable continuous exploration for more than one minute The ability to switch prompts and trigger skills or events during generation Model weights and inference code released under the Apache 2.0 License Training code and datasets planned for future release What makes these capabilities important is not simply the technical specifications. It is that the generated “world” can now support continuous interaction. The official demo shows that users can genuinely control, transform, and explore the generated environment. AI Is Evolving From a Tool Into an Environment Over the past few years, most discussions around AI have focused on content generation. Generating text. Generating images. Generating videos. But world models raise a fundamentally different question: Can AI generate an environment that people can inhabit, explore, and continuously evolve? If the answer is yes, the impact will extend far beyond video generation. Game development, robotics training, embodied intelligence, digital twins, virtual production, and many other fields could be transformed by the development of world models. World models are still at a very early stage. Yet from Craik’s proposal of an internal mental model more than eighty years ago to the emergence of today’s interactive world-generation systems, a clear evolutionary path is beginning to take shape. Perhaps what AI is ultimately learning has never been limited to images, videos, or language. Perhaps it is learning the world itself. References GitHub: Technical Report:

AI Is Moving Beyond “Generating Videos” — Toward “Generating Worlds” Over the past two years, AI video models have advanced at an astonishing pace. From Runway and Pika to Sora and Veo, AI-generated videos have become increasingly realistic and more consistent with the physical laws of the real world. Many people believe the next objective is simply to generate videos that are longer, sharper, and more lifelike. But if we take a step back, we can see that the real transformation is not happening in video itself. It is happening in world models. What Is a World Model? In 1943, psychologist Kenneth Craik proposed an idea that would influence artificial intelligence research for decades. He argued that the human brain does not merely react to the outside world. Instead, it maintains an internal model of how the world works. Because we have this internal model, we can predict the outcome of an action before we actually take it. Before crossing a road, we estimate whether a car will pass by. Before catching a ball, we predict its trajectory. These abilities come from continuously simulating the world in our minds, rather than relying entirely on trial and error. This idea later became known by a more formal term: World Model. A world model does not describe a single image or a fixed video clip. It is an internal representation capable of continuously simulating the rules and dynamics of the real world. Why Is AI Research Turning Toward World Models? Because predicting “what comes next” is becoming increasingly central to how AI systems work. Language models predict the next token. Image models predict the next step in the denoising process. Video models predict the next frame. A world model, however, attempts to predict something broader: What should the world look like in the next moment? In 2018, David Ha and Jürgen Schmidhuber proposed in their paper World Models that an intelligent agent could first learn a model of the world, and then use that internal model to plan its actions. The Dreamer series later demonstrated that many complex tasks could be learned by training agents inside an “imagined world.” At the same time, the development of video models such as Sora and Veo led researchers to another realization: A model capable of continuously generating video has already learned, at least implicitly, many of the rules governing the real world. As a result, these two research directions have gradually begun to converge. But Video Is Not Yet a World This is where the distinction is often misunderstood. For a world model to support meaningful real-time interaction, it must solve several critical problems. Most video models today are essentially answering one question: What should the next frame look like? A true world model needs to answer much more: What happens if I take one step forward? If I walk behind a building and then return, will the building still be there? If I suddenly change the camera angle, will the entire space remain consistent? If I enter a command such as: “Summon a dragon.” Will the world respond immediately? In other words, a world model must do more than generate content. It must understand space. It must understand time. It must understand causality. And it must understand interaction. Moving from watching to participating is where the real difficulty of world models begins. World Models Are Entering the Interactive Era One of the latest attempts in this direction is Alaya World, recently open-sourced by Alaya World, or Alaya Lab. Instead of generating a fixed video clip, it generates a world that users can explore in real time. Users can begin with text, an image, or a video, enter the generated scene, move freely through it, and introduce new prompts at any moment during generation. The world responds immediately. According to the publicly released information, Alaya World provides: Real-time streaming generation at 720p and 24 FPS Stable continuous exploration for more than one minute The ability to switch prompts and trigger skills or events during generation Model weights and inference code released under the Apache 2.0 License Training code and datasets planned for future release What makes these capabilities important is not simply the technical specifications. It is that the generated “world” can now support continuous interaction. The official demo shows that users can genuinely control, transform, and explore the generated environment. AI Is Evolving From a Tool Into an Environment Over the past few years, most discussions around AI have focused on content generation. Generating text. Generating images. Generating videos. But world models raise a fundamentally different question: Can AI generate an environment that people can inhabit, explore, and continuously evolve? If the answer is yes, the impact will extend far beyond video generation. Game development, robotics training, embodied intelligence, digital twins, virtual production, and many other fields could be transformed by the development of world models. World models are still at a very early stage. Yet from Craik’s proposal of an internal mental model more than eighty years ago to the emergence of today’s interactive world-generation systems, a clear evolutionary path is beginning to take shape. Perhaps what AI is ultimately learning has never been limited to images, videos, or language. Perhaps it is learning the world itself. References GitHub: Technical Report:

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This is what happens when on-chain infrastructure meets real-world engineering. PinLink has converted a fleet of air-cooled L9 miners into a fully hydro-cooled system, unlocking a new performance ceiling. Higher sustained uptime, tighter thermal control, and consistently stronger hashrate under continuous load. Hydro-cooling is an edge. It removes the inefficiencies that cap air-cooled systems and optimizes physical infrastructure. This is exactly how PinLink operates: pairing on-chain coordination with physical execution to deliver maximum performance from real assets. Watch the video to see the conversion in action.

This is what happens when on-chain infrastructure meets real-world engineering. PinLink has converted a fleet of air-cooled L9 miners into a fully hydro-cooled system, unlocking a new performance ceiling. Higher sustained uptime, tighter thermal control, and consistently stronger hashrate under continuous load. Hydro-cooling is an edge. It removes the inefficiencies that cap air-cooled systems and optimizes physical infrastructure. This is exactly how PinLink operates: pairing on-chain coordination with physical execution to deliver maximum performance from real assets. Watch the video to see the conversion in action.

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Europe is learning that when you take in Third World criminals, you become a Third World Country. It happens quickly, in just a blink of the eye. I was elected just in time!!! President DJT ( TS: Jul 4 2026, 2:59 PM ET )‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍

Europe is learning that when you take in Third World criminals, you become a Third World Country. It happens quickly, in just a blink of the eye. I was elected just in time!!! President DJT ( TS: Jul 4 2026, 2:59 PM ET )‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍

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N46 Based Istanbul 𝖨𝖢𝖮𝖭𝖲, 𝓇ℯ𝒹ℯ𝒻𝒾𝓃ℯ𝒹 Issue Sometimes, the echo of a single moment can change our entire perspective. Inner Landscapes w/ #HandeErçel In a world that constantly demands our attention and effort, isn’t there something more compelling about those who have the courage to listen to their hearts—and to express their images, emotions, and ideas unapologetically? Creating new icons is not merely about defining the present; it is about witnessing the emergence of images, ideas, and voices that will become part of the cultural memory of the future. It is about making visible what has not yet been named, and recognizing tomorrow’s points of reference today. Times are changing, and so are our emotions. Yet in a world moving at such relentless speed, what endures is not what is said or seen, but what is deeply felt. Stay tuned. BASED ISTANBUL N46 will be available on

N46 Based Istanbul 𝖨𝖢𝖮𝖭𝖲, 𝓇ℯ𝒹ℯ𝒻𝒾𝓃ℯ𝒹 Issue Sometimes, the echo of a single moment can change our entire perspective. Inner Landscapes w/ #HandeErçel In a world that constantly demands our attention and effort, isn’t there something more compelling about those who have the courage to listen to their hearts—and to express their images, emotions, and ideas unapologetically? Creating new icons is not merely about defining the present; it is about witnessing the emergence of images, ideas, and voices that will become part of the cultural memory of the future. It is about making visible what has not yet been named, and recognizing tomorrow’s points of reference today. Times are changing, and so are our emotions. Yet in a world moving at such relentless speed, what endures is not what is said or seen, but what is deeply felt. Stay tuned. BASED ISTANBUL N46 will be available on

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21,787 次观看 • 1 个月前

Day 70 No aid. Not one truck. Children claw at empty pots for a scrap of rice. Starving. Desperate. And the world just watches in silence. When did this become acceptable?

Day 70 No aid. Not one truck. Children claw at empty pots for a scrap of rice. Starving. Desperate. And the world just watches in silence. When did this become acceptable?

Hussain “Hoz” Shafiei

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Good food, clean coaches and lush green mountains glowing outside - it feels like a world-class journey. And it’s in India. The Ernakulam–Bengaluru Vande Bharat is the perfect example of what Modi-era railways have become.

Good food, clean coaches and lush green mountains glowing outside - it feels like a world-class journey. And it’s in India. The Ernakulam–Bengaluru Vande Bharat is the perfect example of what Modi-era railways have become.

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We are officially entering the Aptos era! For any team building in the blockchain space performance is the ultimate foundation for success. Right now the network is leading the entire industry with a staggering block time of 0.04 seconds completely redefining what efficiency means. And also it's important to mention that, real world adoption requires infrastructure that can deliver instant results for millions of users simultaneously. When you combine this level of speed with reliability the possibilities become endless. Big respect to the team for making this vision a reality! Source: Chainspect

We are officially entering the Aptos era! For any team building in the blockchain space performance is the ultimate foundation for success. Right now the network is leading the entire industry with a staggering block time of 0.04 seconds completely redefining what efficiency means. And also it's important to mention that, real world adoption requires infrastructure that can deliver instant results for millions of users simultaneously. When you combine this level of speed with reliability the possibilities become endless. Big respect to the team for making this vision a reality! Source: Chainspect

Everstake

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What does it look like when a robot truly understands where it is in the real world? It starts with Niantic Spatial’s Scaniverse, capturing a real-world environment and reconstructing it into a high-fidelity Gaussian splat. From there, our Robot Adventures demo simulates how VPS could localize a robot within that environment, mirroring 360° video of it navigating the physical space. 🔗Get started with Scaniverse today: #NianticSpatial #Scaniverse #Reconstruction #VPS #GeospatialAI #AI #PhysicalAI #Robotics

What does it look like when a robot truly understands where it is in the real world? It starts with Niantic Spatial’s Scaniverse, capturing a real-world environment and reconstructing it into a high-fidelity Gaussian splat. From there, our Robot Adventures demo simulates how VPS could localize a robot within that environment, mirroring 360° video of it navigating the physical space. 🔗Get started with Scaniverse today: #NianticSpatial #Scaniverse #Reconstruction #VPS #GeospatialAI #AI #PhysicalAI #Robotics

Niantic Spatial 🌎

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Canada looks like an Islamist cesspit. 741 mosques in Canada but they choose to take over the streets as a sign of dominance and disrespect. This is what happens when a government replaces your own people with the Third World. The West needs Remigration.

Canada looks like an Islamist cesspit. 741 mosques in Canada but they choose to take over the streets as a sign of dominance and disrespect. This is what happens when a government replaces your own people with the Third World. The West needs Remigration.

Ashlea Simon

30,243 次观看 • 1 年前