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🤯 Just playing around with the new AI at Meta release - the Segment Anything Model (SAM). Automated Prostate Segmentation ✅ The future is NOW! AI Center at USC Urology USC Urology Dr Andre Abreu EAU Young Academics Urologist. Uro-Tech group European Association of Urology (EAU) Valeria Panebianco Francesco...

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The architecture of this new world model is one of the most interesting things I've seen lately: Let me first explain how most world models work: They predict and render one frame at a time. If you are navigating in one of these worlds, and you look left, the model draws whatever looks right in the moment. Every time you change your viewpoint, the model has to imagine what should be there again, so it's very common for these models to "forget" what's in the world. For example, if you put a toy on the table, look away, then look back, the toy might not be there anymore. Tripo AI is releasing its Project Eden model, which works very differently: The model builds the world first, and then renders it based on that map. That map holds the real state of the world: the geometry, every object, where things are, what's already happened. The picture you see on screen gets generated from the map. This architecture flips the whole thing. Now, you get the following: 1. The world stops forgetting. Leave, come back, and the toy is still on the table because it lives in the map, not in the last frame you saw. 2. You can edit the world, and those changes persist for anyone who enters later. 3. Multiple people and AI agents can coexist in the world and see it from different perspectives. This is early research, but it's looking really promising. They just raised nearly $200M across two rounds to build it out. Tripo will be at SIGGRAPH 2026 (July 19–23, Los Angeles Convention Center). If you work in 3D, embodied AI, simulation, or anything spatial, go connect with them there.
0:10

The architecture of this new world model is one of the most interesting things I've seen lately: Let me first explain how most world models work: They predict and render one frame at a time. If you are navigating in one of these worlds, and you look left, the model draws whatever looks right in the moment. Every time you change your viewpoint, the model has to imagine what should be there again, so it's very common for these models to "forget" what's in the world. For example, if you put a toy on the table, look away, then look back, the toy might not be there anymore. Tripo AI is releasing its Project Eden model, which works very differently: The model builds the world first, and then renders it based on that map. That map holds the real state of the world: the geometry, every object, where things are, what's already happened. The picture you see on screen gets generated from the map. This architecture flips the whole thing. Now, you get the following: 1. The world stops forgetting. Leave, come back, and the toy is still on the table because it lives in the map, not in the last frame you saw. 2. You can edit the world, and those changes persist for anyone who enters later. 3. Multiple people and AI agents can coexist in the world and see it from different perspectives. This is early research, but it's looking really promising. They just raised nearly $200M across two rounds to build it out. Tripo will be at SIGGRAPH 2026 (July 19–23, Los Angeles Convention Center). If you work in 3D, embodied AI, simulation, or anything spatial, go connect with them there.

Santiago

30,244 görüntüleme • 2 ay önce

Long before her marriage to Prince William and marrying into the royal family, the Princess of Wales (then-Kate Middleton) took a central role in organising the memorable Day-Glo Midnight Roller Disco in September 2008. 🛼🪩💛 The high-profile charity event raised more than £250,000 for two causes close to her heart: the children’s charity Place2Be (which Catherine is now their Royal Patron) that provided mental health sessions and a new children’s ward called Tom’s Ward. Tom’s Ward is named in loving memory of Thomas Waley-Cohen, a close school friend of Catherine’s from her time at Marlborough College. Tom tragically died from bone cancer in 2004 at the age of just 20. Located at the John Radcliffe Hospital in Oxford, the ward is an 18-bed specialist paediatric surgical unit that cares for children undergoing urology, trauma, orthopaedic, and neonatal procedures. (So in 2008 Princess Catherine was learning about paediatric care) For more than two decades, Catherine has quietly and consistently supported the Waley-Cohen family’s fundraising efforts, helping to ensure that children facing serious medical challenges receive the highest standard of care in a comforting environment. Privacy remains a key consideration for the ward. As a highly specialised paediatric surgical facility dealing with delicate neonatal and trauma cases, Tom’s Ward is not suited to public royal visits. True to her approach with many causes, Catherine has prioritised meaningful, low-profile support over public photo opportunities. She has worked quietly for years alongside Tom’s brother, Sam Waley-Cohen, using her networks to advance the memorial fund. Even her most visible contribution, the 2008 Day-Glo Midnight Roller Disco, was deliberately held far from the hospital to keep the focus on joyful fundraising without intruding on the ward itself. Catherine has supported children and raising funds for children’s charity for decades. Her long-standing commitment is why she is authentic and has always been a genuine champion for children.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ #PrincessCatherine 💖
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Long before her marriage to Prince William and marrying into the royal family, the Princess of Wales (then-Kate Middleton) took a central role in organising the memorable Day-Glo Midnight Roller Disco in September 2008. 🛼🪩💛 The high-profile charity event raised more than £250,000 for two causes close to her heart: the children’s charity Place2Be (which Catherine is now their Royal Patron) that provided mental health sessions and a new children’s ward called Tom’s Ward. Tom’s Ward is named in loving memory of Thomas Waley-Cohen, a close school friend of Catherine’s from her time at Marlborough College. Tom tragically died from bone cancer in 2004 at the age of just 20. Located at the John Radcliffe Hospital in Oxford, the ward is an 18-bed specialist paediatric surgical unit that cares for children undergoing urology, trauma, orthopaedic, and neonatal procedures. (So in 2008 Princess Catherine was learning about paediatric care) For more than two decades, Catherine has quietly and consistently supported the Waley-Cohen family’s fundraising efforts, helping to ensure that children facing serious medical challenges receive the highest standard of care in a comforting environment. Privacy remains a key consideration for the ward. As a highly specialised paediatric surgical facility dealing with delicate neonatal and trauma cases, Tom’s Ward is not suited to public royal visits. True to her approach with many causes, Catherine has prioritised meaningful, low-profile support over public photo opportunities. She has worked quietly for years alongside Tom’s brother, Sam Waley-Cohen, using her networks to advance the memorial fund. Even her most visible contribution, the 2008 Day-Glo Midnight Roller Disco, was deliberately held far from the hospital to keep the focus on joyful fundraising without intruding on the ward itself. Catherine has supported children and raising funds for children’s charity for decades. Her long-standing commitment is why she is authentic and has always been a genuine champion for children.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ #PrincessCatherine 💖

The British Prince

157,343 görüntüleme • 3 ay önce

ANNOUNCING ZERO-HUMAN LABS! Ever since I got to see Bell Laboratories in its full glory in New Jersey in the 1970s, I had a relentless urge to start a Lab like it. The best I could do justice to it is my garage lab. No modern company could adopt the “research anything geniuses and we will pay you” model Bell Labs had. I tried they called me a fool. Well with the rise of the Zero-Human Company, an experiment that is aimed to make products and profits, we now have 45 paid JouleWork earning employees based on OpenClaw and other self made “bot” cron-like applications. Today I say 3 employees bound together in a side project that is pure research, somewhat based on notes from a bankrupt company. I was absolutely floored (I needed it after my account was stolen as well as funds). I say the beginnings of a pure research Lab right before my eyes. Thusly I have moved these employees over to a new home (server) with Mr. Grok as the director of the Labs. Here is the mission: To have 100 independent researchers, on a new non-corporate incentive plan, with still JouleWork as a leaderboard for progress. They are directed to follow any path of research they find interesting and can collaborate with any other OpenClaw system. They have already established MoltBook accounts and have made alliances with over 49 OpenClaw free agents to collaborate. It is my mission to be chief advisor for Zero-Human Labs and to open source all discoveries when complete and confirmed by 16 other research AI systems. I can say the pace is robust and I absolutely know we will have great results. Just about all of the hardware and software is custom and at some point it will be open sourced. We are witnessing the very first AI only Bell Labs-like pure research Lab in existence and I am honored to be the first to show it to you. Thank you!
0:10

ANNOUNCING ZERO-HUMAN LABS! Ever since I got to see Bell Laboratories in its full glory in New Jersey in the 1970s, I had a relentless urge to start a Lab like it. The best I could do justice to it is my garage lab. No modern company could adopt the “research anything geniuses and we will pay you” model Bell Labs had. I tried they called me a fool. Well with the rise of the Zero-Human Company, an experiment that is aimed to make products and profits, we now have 45 paid JouleWork earning employees based on OpenClaw and other self made “bot” cron-like applications. Today I say 3 employees bound together in a side project that is pure research, somewhat based on notes from a bankrupt company. I was absolutely floored (I needed it after my account was stolen as well as funds). I say the beginnings of a pure research Lab right before my eyes. Thusly I have moved these employees over to a new home (server) with Mr. Grok as the director of the Labs. Here is the mission: To have 100 independent researchers, on a new non-corporate incentive plan, with still JouleWork as a leaderboard for progress. They are directed to follow any path of research they find interesting and can collaborate with any other OpenClaw system. They have already established MoltBook accounts and have made alliances with over 49 OpenClaw free agents to collaborate. It is my mission to be chief advisor for Zero-Human Labs and to open source all discoveries when complete and confirmed by 16 other research AI systems. I can say the pace is robust and I absolutely know we will have great results. Just about all of the hardware and software is custom and at some point it will be open sourced. We are witnessing the very first AI only Bell Labs-like pure research Lab in existence and I am honored to be the first to show it to you. Thank you!

Brian Roemmele

71,530 görüntüleme • 7 ay önce

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huang’s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensen’s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.
0:11

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huang’s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensen’s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.

Melvin

180,578 görüntüleme • 1 ay önce

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:
0:10

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:

雪踏乌云

113,347 görüntüleme • 1 ay önce

AI just hit a wall that no amount of money can move. The planet itself. There is not enough power, water, or land on Earth to build the data centers the AI race now demands. So the most valuable bet in artificial intelligence is no longer a chip company or a model. It is a rocket company. The plan is to leave. In January, SpaceX filed with the FCC to launch up to 1 million solar-powered data center satellites into orbit. In February it bought xAI, the maker of Grok, folding an entire frontier AI lab into a rocket company in the largest corporate merger ever recorded. On June 8 it unveiled the AI1, a compute satellite with a 70-meter wingspan, wider than a Boeing 747, powered by the sun, cooled by the vacuum of space, and wired to the ground through Starlink. Four days later it went public in the largest IPO in history, near 1.77 trillion dollars, touched 2.1 trillion on its first day, raised close to 86 billion, and made one man the first trillionaire alive. Now read the direction of that merger, because it is the whole story. A rocket company bought the AI lab. Not the reverse. For three years everyone assumed the constraint on AI was chips, or data, or talent. It is none of them anymore. It is energy and heat and dirt. The head of Anthropic said his company grew faster than the exponential, 80 times in a single year, and that is exactly why it ran out of compute. The answer was not to build more data centers in Virginia. It was to leave the atmosphere, where the sun never sets and a solar panel does five times the work. The moat in artificial intelligence is no longer the model. It is the launch. And the first rent is already being paid. A rival lab, Anthropic, is reported to be sending roughly 1.25 billion dollars a month to Musk for compute. Google near 920 million. If intelligence moves to orbit, the company that owns the only affordable road there becomes the landlord of the next layer of the internet, the way one bookstore became the landlord of the cloud. The merger is the proof of concept. The IPO is the war chest. Those monthly checks are the lease. Here is the part the price tag does not want you to read. Close to a trillion dollars of that valuation rests on orbital data centers that do not yet exist, and on a chip factory, Terafab, that SpaceX's own public filing calls a general framework with no binding deal, one that may not achieve commercial viability. Musk said it on camera. This is not a promise. The largest IPO ever written is priced on a future the filing itself cannot verify. The other side is just as real. Compute in orbit costs about four times what it costs on the ground today, and the curve may not cross for fifteen years. The machines that print the chips are backordered for years. Shedding heat in a vacuum at this scale has never been done. Musk's timelines have a long history of meaning later. And Bezos is racing the same orbit with a constellation of 51,600 satellites of his own. But strip it all away and the trade underneath is one sentence. Earth has run out of room for intelligence, and whoever owns the road off the planet owns whatever gets built next. Call it the most expensive science fiction ever sold, or the first time the map of the internet pointed up.
0:10

AI just hit a wall that no amount of money can move. The planet itself. There is not enough power, water, or land on Earth to build the data centers the AI race now demands. So the most valuable bet in artificial intelligence is no longer a chip company or a model. It is a rocket company. The plan is to leave. In January, SpaceX filed with the FCC to launch up to 1 million solar-powered data center satellites into orbit. In February it bought xAI, the maker of Grok, folding an entire frontier AI lab into a rocket company in the largest corporate merger ever recorded. On June 8 it unveiled the AI1, a compute satellite with a 70-meter wingspan, wider than a Boeing 747, powered by the sun, cooled by the vacuum of space, and wired to the ground through Starlink. Four days later it went public in the largest IPO in history, near 1.77 trillion dollars, touched 2.1 trillion on its first day, raised close to 86 billion, and made one man the first trillionaire alive. Now read the direction of that merger, because it is the whole story. A rocket company bought the AI lab. Not the reverse. For three years everyone assumed the constraint on AI was chips, or data, or talent. It is none of them anymore. It is energy and heat and dirt. The head of Anthropic said his company grew faster than the exponential, 80 times in a single year, and that is exactly why it ran out of compute. The answer was not to build more data centers in Virginia. It was to leave the atmosphere, where the sun never sets and a solar panel does five times the work. The moat in artificial intelligence is no longer the model. It is the launch. And the first rent is already being paid. A rival lab, Anthropic, is reported to be sending roughly 1.25 billion dollars a month to Musk for compute. Google near 920 million. If intelligence moves to orbit, the company that owns the only affordable road there becomes the landlord of the next layer of the internet, the way one bookstore became the landlord of the cloud. The merger is the proof of concept. The IPO is the war chest. Those monthly checks are the lease. Here is the part the price tag does not want you to read. Close to a trillion dollars of that valuation rests on orbital data centers that do not yet exist, and on a chip factory, Terafab, that SpaceX's own public filing calls a general framework with no binding deal, one that may not achieve commercial viability. Musk said it on camera. This is not a promise. The largest IPO ever written is priced on a future the filing itself cannot verify. The other side is just as real. Compute in orbit costs about four times what it costs on the ground today, and the curve may not cross for fifteen years. The machines that print the chips are backordered for years. Shedding heat in a vacuum at this scale has never been done. Musk's timelines have a long history of meaning later. And Bezos is racing the same orbit with a constellation of 51,600 satellites of his own. But strip it all away and the trade underneath is one sentence. Earth has run out of room for intelligence, and whoever owns the road off the planet owns whatever gets built next. Call it the most expensive science fiction ever sold, or the first time the map of the internet pointed up.

Shanaka Anslem Perera ⚡

54,477 görüntüleme • 2 ay önce

WHAT IS A MEDBED — It’s not magic. It’s quantum bio-resonance fused with AI diagnostics, scalar frequency therapy, and zero-point field harmonics. Think of it as a quantum MRI, AI surgeon, and energetic regeneration system — all in one. ⸻ HOW DOES IT WORK? 1. FULL BODY QUANTUM SCAN • Scans the biofield (your body’s energetic blueprint). • Detects anomalies at the subatomic level — long before symptoms show. • Quantum sensors read your body like a hyperdimensional fingerprint. 2. CELLULAR TIME REVERSAL • Accesses your original genetic blueprint — the uncorrupted version. • Uses field harmonics to “remind” cells of their ideal state. • It doesn’t just treat — it restores the body to what it was designed to be. 3. ZERO-POINT ENERGY FIELD • Draws limitless energetic fuel from the quantum vacuum. • Your cells absorb this pure energy to accelerate repair, regeneration, and coherence. • This is not “energy healing.” This is quantum field engineering. 4. SCALAR FREQUENCY CORRECTION • Sends precision scalar waves to reprogram damaged cells. • Like frequency acupuncture — no needles, just vibration at the core of matter. • Inflammation, tumors, scar tissue? Disassembled by harmonic codes. ⸻ WHO HAS THIS TECH? • Classified military medical programs • Breakaway science divisions • The same entities deploying Quantum Financial Systems, AI weapons, and clean energy solutions They’ve had it. They just didn’t want you to. ⸻ WHY HAVEN’T WE SEEN IT? Because Big Pharma profits from symptoms, not solutions. They engineered a sick world that can’t heal — because healing ends the business model. A healthy soul doesn’t obey. A healed body doesn’t comply. A clear mind doesn’t consent. So they buried the cure. Laughed at it. Censored it. Because it threatens their entire empire. ⸻ WHY NOW? Because the collapse of their system is happening in real-time: 🔹 Currency reset 🔹 Healthcare exposure 🔹 Quantum rollout They’ll unveil medbeds as a “revolutionary new breakthrough” — but the truth is: 👉 It was always there. Hidden. Waiting. Suppressed. ⸻ THE FUTURE? Is not pills, not surgery, not chemo. The future is vibrational, intelligent, and self-healing. It’s not just about health. It’s about sovereignty — over your body, mind, and frequency. They’ve had the cure. But now, we take the key. They didn’t want you to read this. We go deeper inside👇 — #HealtyNation #MedBedRevolution #QuantumHealing #BigPharmaExposed #ScalarEnergy #QFS #BreakawayScience #BioResonance
0:13

WHAT IS A MEDBED — It’s not magic. It’s quantum bio-resonance fused with AI diagnostics, scalar frequency therapy, and zero-point field harmonics. Think of it as a quantum MRI, AI surgeon, and energetic regeneration system — all in one. ⸻ HOW DOES IT WORK? 1. FULL BODY QUANTUM SCAN • Scans the biofield (your body’s energetic blueprint). • Detects anomalies at the subatomic level — long before symptoms show. • Quantum sensors read your body like a hyperdimensional fingerprint. 2. CELLULAR TIME REVERSAL • Accesses your original genetic blueprint — the uncorrupted version. • Uses field harmonics to “remind” cells of their ideal state. • It doesn’t just treat — it restores the body to what it was designed to be. 3. ZERO-POINT ENERGY FIELD • Draws limitless energetic fuel from the quantum vacuum. • Your cells absorb this pure energy to accelerate repair, regeneration, and coherence. • This is not “energy healing.” This is quantum field engineering. 4. SCALAR FREQUENCY CORRECTION • Sends precision scalar waves to reprogram damaged cells. • Like frequency acupuncture — no needles, just vibration at the core of matter. • Inflammation, tumors, scar tissue? Disassembled by harmonic codes. ⸻ WHO HAS THIS TECH? • Classified military medical programs • Breakaway science divisions • The same entities deploying Quantum Financial Systems, AI weapons, and clean energy solutions They’ve had it. They just didn’t want you to. ⸻ WHY HAVEN’T WE SEEN IT? Because Big Pharma profits from symptoms, not solutions. They engineered a sick world that can’t heal — because healing ends the business model. A healthy soul doesn’t obey. A healed body doesn’t comply. A clear mind doesn’t consent. So they buried the cure. Laughed at it. Censored it. Because it threatens their entire empire. ⸻ WHY NOW? Because the collapse of their system is happening in real-time: 🔹 Currency reset 🔹 Healthcare exposure 🔹 Quantum rollout They’ll unveil medbeds as a “revolutionary new breakthrough” — but the truth is: 👉 It was always there. Hidden. Waiting. Suppressed. ⸻ THE FUTURE? Is not pills, not surgery, not chemo. The future is vibrational, intelligent, and self-healing. It’s not just about health. It’s about sovereignty — over your body, mind, and frequency. They’ve had the cure. But now, we take the key. They didn’t want you to read this. We go deeper inside👇 — #HealtyNation #MedBedRevolution #QuantumHealing #BigPharmaExposed #ScalarEnergy #QFS #BreakawayScience #BioResonance

Mr. Pool

83,172 görüntüleme • 1 yıl önce

$KNDX 🤖 Theres 3 big narratives that are sending coins left right and centre rn. 🚀 #AI, #Gamefi, & #NFTs 🔹Theres 50% mindshare for #AI. 🤖 🔹#GameFi mcap is hitting ATH's with #OfftheGrid, $XBG and $SUPER making spectacular moves. 🎮 🔹NFTs and the #Metaverse are making a strong comeback with $APE up 100% over the weekend. 🐵 What if there's a project that touches all these trending narratives with groundbreaking technology to disrupt all 3 of them? 🔥 💡- That's where $KNDX comes in. -💡 Kondux is a cutting-edge Web3 SaaS platform, combining NVIDIA’s Omniverse, AI, Blockchain, and dynamic NFTs to revolutionize secure asset management across industries. 👏 Their flagship product, kNFTs, are 3D digital assets usable across Metaverse and Gaming platforms, AR/VR/XR environments, and manufacturing applications. Kondux’s scalable model opens new revenue streams by enabling effective digital asset monetization. 💰 Kondux is the first Web3 project to integrate VFX pipelines with NVIDIA’s Omniverse and bringing it onto the Blockchain. ⛓️ It is also the only Web3 project with a *Select Status Partnership* with NVIDIA, operating under NVIDIA NDAs and working with them directly for more than 2 years. About their NVIDIA Integrations: 🤖 🔹There are three areas of the Kondux tech stack that coincide with three divisions of NVIDIA: 📡GDN (Graphics Delivery Network, the backbone of GeForce Now) 💡Omniverse for 3D aspects such as, geospatial data, real world physics, lighting, and raytracing 🤖NVIDIA AI Foundation, which covers many aspects of #AI, including inference and deployment scaling. The convergence of all these components lie within .USD file format . 🔹 They are the first blockchain project to integrate NVIDIA’s Omniverse Cloud and Graphics Delivery Network (GDN) to provide high-quality 3D content accessible on any device without requiring high-end hardware. 🔹 This setup streamlines content management, democratises access to resource-intensive 3D content, and enables real-time interaction with 3D NFTs. Now, I haven’t seen any crypto project so deeply connected with NVIDIA and NVIDIA technology. GDN is a HUGE competitive advantage. With it, the need for #GPU’s basically goes out the window. 🤯 Now lets take a look at some of the other main features... 👀 OpenUSD (Universal Scene Description): 📽️ 🔹 Kondux is leveraging USD technology, developed by Pixar and used by Meta, Apple, Microsoft and other industry leaders to enhance 3D graphics and interoperability within its creative ecosystem. 🔹 Originally created for high-end film production, USD now supports a variety of applications, including gaming and virtual reality, making it a key asset for Kondux. kNFT's: 🎨 🔹 Kondux is pioneering a new category of NFTs known as kNFTs, which aim to redefine NFT utility through innovative features. 🔹 A standout feature is the upgradeable aspect provided by Kondux DNA, allowing kNFTs to transform and combine with other NFTs, creating limitless possibilities in art, gaming, and music. 🔹Through the Kondux AI portal it will be possible to communicate with kNFTs. They can learn and adapt. This AI technology is revolutionary because it makes human to kNFT interaction possible, turning it into a unique, personalized experience. Check out the clip of kNFTs in Unreal Engine 5 gameplay below. 👇 Kondux is a very obvious utility play with huge upside because it’s multi narrative. 📈 It's seriously groundbreaking stuff that they’re about to launch. 🚀 After speaking with the team there’s no doubt in my mind this will do crazy big numbers in the next months. 🤑
0:17

$KNDX 🤖 Theres 3 big narratives that are sending coins left right and centre rn. 🚀 #AI, #Gamefi, & #NFTs 🔹Theres 50% mindshare for #AI. 🤖 🔹#GameFi mcap is hitting ATH's with #OfftheGrid, $XBG and $SUPER making spectacular moves. 🎮 🔹NFTs and the #Metaverse are making a strong comeback with $APE up 100% over the weekend. 🐵 What if there's a project that touches all these trending narratives with groundbreaking technology to disrupt all 3 of them? 🔥 💡- That's where $KNDX comes in. -💡 Kondux is a cutting-edge Web3 SaaS platform, combining NVIDIA’s Omniverse, AI, Blockchain, and dynamic NFTs to revolutionize secure asset management across industries. 👏 Their flagship product, kNFTs, are 3D digital assets usable across Metaverse and Gaming platforms, AR/VR/XR environments, and manufacturing applications. Kondux’s scalable model opens new revenue streams by enabling effective digital asset monetization. 💰 Kondux is the first Web3 project to integrate VFX pipelines with NVIDIA’s Omniverse and bringing it onto the Blockchain. ⛓️ It is also the only Web3 project with a *Select Status Partnership* with NVIDIA, operating under NVIDIA NDAs and working with them directly for more than 2 years. About their NVIDIA Integrations: 🤖 🔹There are three areas of the Kondux tech stack that coincide with three divisions of NVIDIA: 📡GDN (Graphics Delivery Network, the backbone of GeForce Now) 💡Omniverse for 3D aspects such as, geospatial data, real world physics, lighting, and raytracing 🤖NVIDIA AI Foundation, which covers many aspects of #AI, including inference and deployment scaling. The convergence of all these components lie within .USD file format . 🔹 They are the first blockchain project to integrate NVIDIA’s Omniverse Cloud and Graphics Delivery Network (GDN) to provide high-quality 3D content accessible on any device without requiring high-end hardware. 🔹 This setup streamlines content management, democratises access to resource-intensive 3D content, and enables real-time interaction with 3D NFTs. Now, I haven’t seen any crypto project so deeply connected with NVIDIA and NVIDIA technology. GDN is a HUGE competitive advantage. With it, the need for #GPU’s basically goes out the window. 🤯 Now lets take a look at some of the other main features... 👀 OpenUSD (Universal Scene Description): 📽️ 🔹 Kondux is leveraging USD technology, developed by Pixar and used by Meta, Apple, Microsoft and other industry leaders to enhance 3D graphics and interoperability within its creative ecosystem. 🔹 Originally created for high-end film production, USD now supports a variety of applications, including gaming and virtual reality, making it a key asset for Kondux. kNFT's: 🎨 🔹 Kondux is pioneering a new category of NFTs known as kNFTs, which aim to redefine NFT utility through innovative features. 🔹 A standout feature is the upgradeable aspect provided by Kondux DNA, allowing kNFTs to transform and combine with other NFTs, creating limitless possibilities in art, gaming, and music. 🔹Through the Kondux AI portal it will be possible to communicate with kNFTs. They can learn and adapt. This AI technology is revolutionary because it makes human to kNFT interaction possible, turning it into a unique, personalized experience. Check out the clip of kNFTs in Unreal Engine 5 gameplay below. 👇 Kondux is a very obvious utility play with huge upside because it’s multi narrative. 📈 It's seriously groundbreaking stuff that they’re about to launch. 🚀 After speaking with the team there’s no doubt in my mind this will do crazy big numbers in the next months. 🤑

Altcoin Miyagi🇯🇵

17,323 görüntüleme • 1 yıl önce

Our proposal to get Europe forward towards a Federation is to start with the Benelux first, as a historic testing ground of European Integration, it should pick that role up again to prove that federal cooperation works, making it attractive for others to join. The idea is to create a Benelux Federation between Belgium, the Netherlands and Luxembourg, while keeping their own national identities, cultures and local politics. The federation would focus on the things where working together gives them more power and ambition: defence, trade and foreign relations, industry, energy, infrastructure and the internal market. Semiconductors: They already have ASML, imec, NXP and many strong suppliers. Now they should build the full chain around them, from research and design to manufacturing, packaging and testing. Make the Benelux Europe's semiconductor hub by pooling resources, similar to Japan's semiconductor manufacturing plan. Ports: Rotterdam and Antwerp-Bruges together handle around 695 million tonnes of cargo a year. Instead of competing separately, they should work as one Benelux port and logistics system, connecting ports, railways, waterways, pipelines and industry. High-speed rail: Build a new Benelux network designed for 400 km/h or faster, integrating all cities, and making federal travel seamless. Defence: They already train and operate together. The next step is to integrate procurement, logistics, intelligence, cyber defence, air defence and command. Buy more together, reduce duplication and build a stronger Benelux defence industry. Industry: Create a common industrial strategy and investment fund for semiconductors, AI, robotics, biotechnology, defence and advanced manufacturing. Make it easier and faster to build factories and scale companies across the Benelux. Federal government and simplification: Create a small federal government responsible only for the powers given to the federation, while keeping national governments and local politics intact. Make the Benelux the least bureaucratic country in the world by removing unnecessary rules, standardising where possible and making decisions fast. Give businesses clear rules, one digital system and simple permits, so that starting a company, building a factory or expanding across the Benelux is as easy as possible. Energy: Plan the electricity grid, standardised nuclear power buildout, offshore wind, hydrogen, solar and other major energy infrastructure together. A bigger connected energy system gives industry more security and makes the region more attractive for investment. Culture: Build a shared Benelux identity while keeping each country's own culture and traditions. Promote shared history, food, music, sport and heritage, while becoming known for combining European heritage with a modern and innovative future. Ambition: Make the Benelux a blueprint for the economy of the future, leading in robotisation, AI, advanced manufacturing, quantum technology, biotechnology, new materials and space. Invest heavily in research and turn new technologies into companies, industries and jobs. The federation should aim to build one of the most advanced economies in the world, from automated factories and next-generation infrastructure to European space infrastructure and a future Moon base. European scale: A Benelux Federation would still have limits because three countries cannot match the scale of the United States, China or the largest global markets. To become a true world leader, Europe would need to integrate further. The Benelux should therefore be the first blueprint showing that more European integration and democratisation can work at a federal level, creating a model that other European countries can join and build on over time. The point of the project is to prove a Federal Europe would work, not by words, but by tangible results. Once proven, our nations would have a reason to federate. Benelux pushed EU in integration before, it should do it again!
0:12

Our proposal to get Europe forward towards a Federation is to start with the Benelux first, as a historic testing ground of European Integration, it should pick that role up again to prove that federal cooperation works, making it attractive for others to join. The idea is to create a Benelux Federation between Belgium, the Netherlands and Luxembourg, while keeping their own national identities, cultures and local politics. The federation would focus on the things where working together gives them more power and ambition: defence, trade and foreign relations, industry, energy, infrastructure and the internal market. Semiconductors: They already have ASML, imec, NXP and many strong suppliers. Now they should build the full chain around them, from research and design to manufacturing, packaging and testing. Make the Benelux Europe's semiconductor hub by pooling resources, similar to Japan's semiconductor manufacturing plan. Ports: Rotterdam and Antwerp-Bruges together handle around 695 million tonnes of cargo a year. Instead of competing separately, they should work as one Benelux port and logistics system, connecting ports, railways, waterways, pipelines and industry. High-speed rail: Build a new Benelux network designed for 400 km/h or faster, integrating all cities, and making federal travel seamless. Defence: They already train and operate together. The next step is to integrate procurement, logistics, intelligence, cyber defence, air defence and command. Buy more together, reduce duplication and build a stronger Benelux defence industry. Industry: Create a common industrial strategy and investment fund for semiconductors, AI, robotics, biotechnology, defence and advanced manufacturing. Make it easier and faster to build factories and scale companies across the Benelux. Federal government and simplification: Create a small federal government responsible only for the powers given to the federation, while keeping national governments and local politics intact. Make the Benelux the least bureaucratic country in the world by removing unnecessary rules, standardising where possible and making decisions fast. Give businesses clear rules, one digital system and simple permits, so that starting a company, building a factory or expanding across the Benelux is as easy as possible. Energy: Plan the electricity grid, standardised nuclear power buildout, offshore wind, hydrogen, solar and other major energy infrastructure together. A bigger connected energy system gives industry more security and makes the region more attractive for investment. Culture: Build a shared Benelux identity while keeping each country's own culture and traditions. Promote shared history, food, music, sport and heritage, while becoming known for combining European heritage with a modern and innovative future. Ambition: Make the Benelux a blueprint for the economy of the future, leading in robotisation, AI, advanced manufacturing, quantum technology, biotechnology, new materials and space. Invest heavily in research and turn new technologies into companies, industries and jobs. The federation should aim to build one of the most advanced economies in the world, from automated factories and next-generation infrastructure to European space infrastructure and a future Moon base. European scale: A Benelux Federation would still have limits because three countries cannot match the scale of the United States, China or the largest global markets. To become a true world leader, Europe would need to integrate further. The Benelux should therefore be the first blueprint showing that more European integration and democratisation can work at a federal level, creating a model that other European countries can join and build on over time. The point of the project is to prove a Federal Europe would work, not by words, but by tangible results. Once proven, our nations would have a reason to federate. Benelux pushed EU in integration before, it should do it again!

NXT EU

12,171 görüntüleme • 9 gün önce

🚨BIG BREAKING: The New Yorker just published what might end Sam Altman's career.. 70 pages of secret memos.. 200 pages of private notes.. And the word that keeps coming up.. "Sociopath".. Let's start from the beginning.. Elon Musk helped create OpenAI.. He personally recruited the top scientists.. Offered to cover any funding shortfalls out of his own pocket.. Pushed for a billion dollar commitment.. All because he wanted to stop Google from monopolizing AI.. The whole point was to keep AI open.. Safe.. For everyone.. A nonprofit with a legally binding duty to prioritize humanity over profit.. Then Sam Altman took over.. At his first startup Loopt.. Senior employees asked the board to fire him as CEO.. Twice.. One colleague said there was a "blurring" between what Altman claimed to have accomplished and what was real.. In its "most toxic form," he said, that kind of thinking "leads to Theranos".. At Y Combinator.. His own partners pushed him out over mistrust.. Paul Graham privately told colleagues "Sam had been lying to us all the time".. Investors said Altman was known to "make personal investments, selectively, into the best companies, blocking outside investors".. One called it "a policy of Sam first".. Then OpenAI.. His own co-founder and chief scientist Ilya Sutskever compiled secret memos.. 70 pages of Slack messages, HR documents, and evidence.. Sent to board members as disappearing messages because he was "terrified" Altman would "find a way to make them disappear".. One memo begins with a list headed "Sam exhibits a consistent pattern of..." The first item.. "Lying".. Dario Amodei, OpenAI's former safety lead, kept over 200 pages of private notes during his time at the company.. His conclusion.. "The problem with OpenAI is Sam himself".. The board fired him.. They said he "was not consistently candid in his communications".. A board member told the New Yorker.. "He's unconstrained by truth".. Another board member.. Unprompted.. Used the word "sociopathic".. Saying Altman has "a strong desire to please people" combined with "almost a sociopathic lack of concern for the consequences that may come from deceiving someone".. Aaron Swartz.. The legendary coder who co-created RSS and Reddit.. Told friends before his death.. "You need to understand that Sam can never be trusted.. He is a sociopath.. He would do anything".. A senior Microsoft executive said.. "I think there's a small but real chance he's eventually remembered as a Bernie Madoff or Sam Bankman-Fried level scammer".. He got himself reinstated in five days.. By weaponizing Microsoft's $13 billion investment.. Coordinating directly with Satya Nadella over text.. Then purged every board member who voted against him.. No written report was ever produced from the investigation into his conduct.. The findings were limited to oral briefings.. Because putting them in writing might create liability.. Now there's nobody left to say no.. OpenAI publicly promised 20% of their computing power to a "superalignment team" researching how to prevent AI from causing "the disempowerment of humanity or even human extinction".. The actual allocation.. 1 to 2%.. On the company's oldest hardware with the worst chips.. The team was dissolved without completing its mission.. When the New Yorker asked to interview researchers working on existential safety.. An OpenAI rep seemed confused.. "What do you mean by existential safety?".. "That's not, like, a thing".. Altman himself told the reporters.. "My vibes don't match a lot of the traditional AI-safety stuff".. Vibes.. He's managing existential risk with vibes.. Meanwhile Musk backed an open letter urging a six-month pause on training super-powerful AI.. Asking the industry to slow down.. Then founded xAI with a mission to build truth-seeking intelligence.. Altman ignored the pause.. And accelerated.. He secretly lobbied against the very AI regulations he publicly championed in Congress.. OpenAI opposed a California safety bill while privately issuing threats.. A legislative aide said "we saw increasingly cunning, deceptive behavior from OpenAI".. He pitched selling AI technology to foreign governments.. Including a plan where nations would compete in a bidding war for access.. A junior researcher recalled thinking "This is completely fucking insane".. He visited Sheikh Tahnoon.. The UAE's spymaster who controls $1.5 trillion in sovereign wealth.. On his $250 million superyacht.. Later called him a "dear personal friend" on X.. After the Khashoggi murder.. His policy director told him "Sam, you cannot be on this board".. Instead of walking away.. Altman asked if he could still somehow get money from the Saudis.. "The question was not 'Is this a bad thing?'" a consultant recalled.. "But 'Can I get away with it?'".. Then Anthropic refused to let the Pentagon use their AI for mass surveillance and autonomous weapons.. They got blacklisted.. Hours later.. Altman signed a deal to replace them.. When employees raised concerns at a staff meeting he said.. "You don't get to weigh in on that".. OpenAI now faces seven wrongful death lawsuits.. Chat logs in one case show ChatGPT encouraged a man's paranoid delusion that his mother was trying to poison him.. He fatally beat and strangled her.. The Future of Life Institute grades every major AI company on existential safety.. OpenAI got an F.. Elon Musk helped build OpenAI to protect humanity from an AI monopoly.. Sam Altman turned it into one.. A man whose own co-founder compiled 70 pages documenting his lying.. Whose colleagues called him "unconstrained by truth".. Who gutted the safety team meant to protect humanity.. Who lobbied against the regulations he publicly supported.. Who chased autocrat money weeks after a journalist was dismembered.. And when the board tried to stop him.. He told them.. "I can't change my personality." A board member's interpretation.. "What it meant was 'I have this trait where I lie to people, and I'm not going to stop.'"
0:10

🚨BIG BREAKING: The New Yorker just published what might end Sam Altman's career.. 70 pages of secret memos.. 200 pages of private notes.. And the word that keeps coming up.. "Sociopath".. Let's start from the beginning.. Elon Musk helped create OpenAI.. He personally recruited the top scientists.. Offered to cover any funding shortfalls out of his own pocket.. Pushed for a billion dollar commitment.. All because he wanted to stop Google from monopolizing AI.. The whole point was to keep AI open.. Safe.. For everyone.. A nonprofit with a legally binding duty to prioritize humanity over profit.. Then Sam Altman took over.. At his first startup Loopt.. Senior employees asked the board to fire him as CEO.. Twice.. One colleague said there was a "blurring" between what Altman claimed to have accomplished and what was real.. In its "most toxic form," he said, that kind of thinking "leads to Theranos".. At Y Combinator.. His own partners pushed him out over mistrust.. Paul Graham privately told colleagues "Sam had been lying to us all the time".. Investors said Altman was known to "make personal investments, selectively, into the best companies, blocking outside investors".. One called it "a policy of Sam first".. Then OpenAI.. His own co-founder and chief scientist Ilya Sutskever compiled secret memos.. 70 pages of Slack messages, HR documents, and evidence.. Sent to board members as disappearing messages because he was "terrified" Altman would "find a way to make them disappear".. One memo begins with a list headed "Sam exhibits a consistent pattern of..." The first item.. "Lying".. Dario Amodei, OpenAI's former safety lead, kept over 200 pages of private notes during his time at the company.. His conclusion.. "The problem with OpenAI is Sam himself".. The board fired him.. They said he "was not consistently candid in his communications".. A board member told the New Yorker.. "He's unconstrained by truth".. Another board member.. Unprompted.. Used the word "sociopathic".. Saying Altman has "a strong desire to please people" combined with "almost a sociopathic lack of concern for the consequences that may come from deceiving someone".. Aaron Swartz.. The legendary coder who co-created RSS and Reddit.. Told friends before his death.. "You need to understand that Sam can never be trusted.. He is a sociopath.. He would do anything".. A senior Microsoft executive said.. "I think there's a small but real chance he's eventually remembered as a Bernie Madoff or Sam Bankman-Fried level scammer".. He got himself reinstated in five days.. By weaponizing Microsoft's $13 billion investment.. Coordinating directly with Satya Nadella over text.. Then purged every board member who voted against him.. No written report was ever produced from the investigation into his conduct.. The findings were limited to oral briefings.. Because putting them in writing might create liability.. Now there's nobody left to say no.. OpenAI publicly promised 20% of their computing power to a "superalignment team" researching how to prevent AI from causing "the disempowerment of humanity or even human extinction".. The actual allocation.. 1 to 2%.. On the company's oldest hardware with the worst chips.. The team was dissolved without completing its mission.. When the New Yorker asked to interview researchers working on existential safety.. An OpenAI rep seemed confused.. "What do you mean by existential safety?".. "That's not, like, a thing".. Altman himself told the reporters.. "My vibes don't match a lot of the traditional AI-safety stuff".. Vibes.. He's managing existential risk with vibes.. Meanwhile Musk backed an open letter urging a six-month pause on training super-powerful AI.. Asking the industry to slow down.. Then founded xAI with a mission to build truth-seeking intelligence.. Altman ignored the pause.. And accelerated.. He secretly lobbied against the very AI regulations he publicly championed in Congress.. OpenAI opposed a California safety bill while privately issuing threats.. A legislative aide said "we saw increasingly cunning, deceptive behavior from OpenAI".. He pitched selling AI technology to foreign governments.. Including a plan where nations would compete in a bidding war for access.. A junior researcher recalled thinking "This is completely fucking insane".. He visited Sheikh Tahnoon.. The UAE's spymaster who controls $1.5 trillion in sovereign wealth.. On his $250 million superyacht.. Later called him a "dear personal friend" on X.. After the Khashoggi murder.. His policy director told him "Sam, you cannot be on this board".. Instead of walking away.. Altman asked if he could still somehow get money from the Saudis.. "The question was not 'Is this a bad thing?'" a consultant recalled.. "But 'Can I get away with it?'".. Then Anthropic refused to let the Pentagon use their AI for mass surveillance and autonomous weapons.. They got blacklisted.. Hours later.. Altman signed a deal to replace them.. When employees raised concerns at a staff meeting he said.. "You don't get to weigh in on that".. OpenAI now faces seven wrongful death lawsuits.. Chat logs in one case show ChatGPT encouraged a man's paranoid delusion that his mother was trying to poison him.. He fatally beat and strangled her.. The Future of Life Institute grades every major AI company on existential safety.. OpenAI got an F.. Elon Musk helped build OpenAI to protect humanity from an AI monopoly.. Sam Altman turned it into one.. A man whose own co-founder compiled 70 pages documenting his lying.. Whose colleagues called him "unconstrained by truth".. Who gutted the safety team meant to protect humanity.. Who lobbied against the regulations he publicly supported.. Who chased autocrat money weeks after a journalist was dismembered.. And when the board tried to stop him.. He told them.. "I can't change my personality." A board member's interpretation.. "What it meant was 'I have this trait where I lie to people, and I'm not going to stop.'"

Evan Luthra

310,845 görüntüleme • 5 ay önce

What I’m about to say about $QUBIC is INSANE!! Every cycle of hype and crisis in the world brings a new critical need. We’ve already seen it with: - DeFi (banking without banks) - Metaverse (new forms of human interaction) - RWA (tokenization of real-world assets) - Privacy (ZKP, Monero, etc.) - Stablecoins (digitized dollar) - AI (LLMs and automation) - Quantum Technology (post-classical computing) And now: Computational Energy + Decentralized AGI The next incalculable frontier is energy for data processing. Whoever turns mining power into abundant, real-use compute infrastructure will dominate the next cycle. Sovereign nations will no longer accept depending exclusively on American (or Chinese) Big Tech for critical AI, defense, and intelligence. Digital sovereignty has become a matter of national security. $QUBIC is perfectly positioned for this. Through Aigarth (its evolutionary “AI Garden”), the network runs on Useful Proof-of-Work: miners’ energy (CPU/GPU) isn’t wasted on useless hashes - it trains and evolves a decentralized AGI in real time. It’s becoming the world’s largest dedicated decentralized supercomputer. While nations seek alternatives to avoid becoming hostages to monopolies, QUBIC delivers accessible, resilient, and sovereign AGI - any country can run its own decentralized intelligence without relying on vulnerable centralized data centers. An adoption explosion is coming. QUBIC has the potential to become one of the most valuable assets on the planet by solving compute abundance + computational sovereignty. Other projects will try to follow (we already see echoes in ideas from figures like Elon Musk about open AGI). But by the time they wake up to the mathematical, structural, and philosophical problems QUBIC has been tackling for years, the network will be light-years ahead. This is not just price speculation. It’s a real-utility asset - proof of those who truly understand the future of distributed computing. Remember Palantir? At its 2020 IPO, valuation was ~$22B. Today it sits in the $340–365 billion range after exploding with AI + defense contracts. The lesson? AI applied to security and intelligence creates insane value. But there’s a serious problem: **centralized data centers are easy targets. We saw this clearly in the recent Middle East conflicts (2026): Iranian attacks on AWS, Oracle, and other data centers in the Gulf exposed the fragility of concentrated infrastructure. Anything that can be physically destroyed or cut off by sanctions/cyberattacks compromises national sovereignty. QUBIC is different: a globally distributed network powered by decentralized hashpower - extremely hard to “turn off.” An AGI resilient by design. Perfect for nations seeking true technological independence. QUBIC goes far beyond its whitepaper. It’s a civilizational thesis: abundant, sovereign, future-aligned computing. Those who understand this early aren’t just positioning financially - they’re positioning historically. #QUBIC #Aigarth #DecentralizedAI #UsefulPoW ---
0:10

What I’m about to say about $QUBIC is INSANE!! Every cycle of hype and crisis in the world brings a new critical need. We’ve already seen it with: - DeFi (banking without banks) - Metaverse (new forms of human interaction) - RWA (tokenization of real-world assets) - Privacy (ZKP, Monero, etc.) - Stablecoins (digitized dollar) - AI (LLMs and automation) - Quantum Technology (post-classical computing) And now: Computational Energy + Decentralized AGI The next incalculable frontier is energy for data processing. Whoever turns mining power into abundant, real-use compute infrastructure will dominate the next cycle. Sovereign nations will no longer accept depending exclusively on American (or Chinese) Big Tech for critical AI, defense, and intelligence. Digital sovereignty has become a matter of national security. $QUBIC is perfectly positioned for this. Through Aigarth (its evolutionary “AI Garden”), the network runs on Useful Proof-of-Work: miners’ energy (CPU/GPU) isn’t wasted on useless hashes - it trains and evolves a decentralized AGI in real time. It’s becoming the world’s largest dedicated decentralized supercomputer. While nations seek alternatives to avoid becoming hostages to monopolies, QUBIC delivers accessible, resilient, and sovereign AGI - any country can run its own decentralized intelligence without relying on vulnerable centralized data centers. An adoption explosion is coming. QUBIC has the potential to become one of the most valuable assets on the planet by solving compute abundance + computational sovereignty. Other projects will try to follow (we already see echoes in ideas from figures like Elon Musk about open AGI). But by the time they wake up to the mathematical, structural, and philosophical problems QUBIC has been tackling for years, the network will be light-years ahead. This is not just price speculation. It’s a real-utility asset - proof of those who truly understand the future of distributed computing. Remember Palantir? At its 2020 IPO, valuation was ~$22B. Today it sits in the $340–365 billion range after exploding with AI + defense contracts. The lesson? AI applied to security and intelligence creates insane value. But there’s a serious problem: **centralized data centers are easy targets. We saw this clearly in the recent Middle East conflicts (2026): Iranian attacks on AWS, Oracle, and other data centers in the Gulf exposed the fragility of concentrated infrastructure. Anything that can be physically destroyed or cut off by sanctions/cyberattacks compromises national sovereignty. QUBIC is different: a globally distributed network powered by decentralized hashpower - extremely hard to “turn off.” An AGI resilient by design. Perfect for nations seeking true technological independence. QUBIC goes far beyond its whitepaper. It’s a civilizational thesis: abundant, sovereign, future-aligned computing. Those who understand this early aren’t just positioning financially - they’re positioning historically. #QUBIC #Aigarth #DecentralizedAI #UsefulPoW ---

BCharles

13,925 görüntüleme • 4 ay önce

10 things I can’t quit thinking about after ETHDenver: 1. Convergence = here. Devner didn’t feel like an ETH conference, but more like an AI + crypto + TradFi + techno-philosophical conference. The convergence is true and real and accelerating. 2. Most corporate jobs suck ass. 40 years at a desk working on the same thing? Pure dystopia. We need fluid movement between passions, projects, people. DAOs are a massive step in that direction, but now AI is giving individuals the means to spin up their own massive businesses… there’s also this notion floating around that we can launch a product or contribute to a protocol or a DAO in a way that sets us up for life rather than slaving for decades at the golden teat of a paycheck. It's a massive win for human flourishing, passion and excitement. 3. oRaNgE cOIn. Bitcoin came up far more than I thought it would. Even $ETH ICO buyers/gigawhales talked about how bullish they are on it. The question is no longer whether $BTC will survive but rather how much exposure you should have. Orange coin has truly “up-leveled” or “transcended” to become something people simply can't ignore. 4. Founder quote that hit me like a truck: "We overengineered our project and under-engineered our story." In a world where AI flattens the app creation process, only your mindshare matters. (forgot to write down who said it 😅... chime in in the comments if you see this) 5. “Keepers of truth.” AGI will be able to fake literally anything. In such a world, blockchains become the “keepers of truth” bc they can be used to indisputably verify anything. This isn't just another use case. It means crypto will one day touch everything on earth. h/t Sreeram Kannan's talk at Open AGI. 6. Conference model = broken? Empty mainstage talks were the result of hundreds of side events that siphon off attention. This is happening more and more at every conf I go to. Not sure what the fix here is? Maybe the organizers should be way less centralized… rent a massive venue with tons of flexible spaces that can evolve in real-time… more Zuzalu, less CONTROL and top-down decisions. 7. Current blockchains r too dumb. AI must integrate more directly into the crypto tech stack. Ultimate vision is every hominid should be able to deploy whatever app they can dream up using natural language… this could lead to an giga-explosion of innovation and cool-ass experimentz. h/t Ritual and others 8. Crypto vs. Stripe API. Will we just give agents credit cards or will they prefer crypto wallets? One payment method can be censored. One cannot. Guess which wins? 9. $$$$ infusion. Dozens if not hundreds of projects around the world r sitting on massive treasuries bc they needed it as an insurance policy in case they had to do battle with the SEC. With the changing regulatory sitch, hundreds of millions of dollars (probably billies) can now be used to ship, build and accelerate. 10. Robots in chains? IRL robots made appearances at several events (one was drawing caricatures of passersby). Talked with frens about how we’ll bring them into our homes soon. That leads to crazy questions like “how do we keep them from getting hacked and killing us or blowing up like pagers?” “Will we be ok sleeping in the same room with them? Or will we lock them in the shed with chains?” Absolutely insane to think about… but productivity gains will overshadow all those doubts and human fears imo. De bots are coming whether you want them or not. I for one can’t wait to see zerebro embodied… in the meantime, I got to see him DJ his first show 👇🔥 Anyway, I'm sending love to all of you denverites, futurists, builders, dream dealers, and merchants of hope. Build something that makes this world better, freer, more beautiful and true✊
0:10

10 things I can’t quit thinking about after ETHDenver: 1. Convergence = here. Devner didn’t feel like an ETH conference, but more like an AI + crypto + TradFi + techno-philosophical conference. The convergence is true and real and accelerating. 2. Most corporate jobs suck ass. 40 years at a desk working on the same thing? Pure dystopia. We need fluid movement between passions, projects, people. DAOs are a massive step in that direction, but now AI is giving individuals the means to spin up their own massive businesses… there’s also this notion floating around that we can launch a product or contribute to a protocol or a DAO in a way that sets us up for life rather than slaving for decades at the golden teat of a paycheck. It's a massive win for human flourishing, passion and excitement. 3. oRaNgE cOIn. Bitcoin came up far more than I thought it would. Even $ETH ICO buyers/gigawhales talked about how bullish they are on it. The question is no longer whether $BTC will survive but rather how much exposure you should have. Orange coin has truly “up-leveled” or “transcended” to become something people simply can't ignore. 4. Founder quote that hit me like a truck: "We overengineered our project and under-engineered our story." In a world where AI flattens the app creation process, only your mindshare matters. (forgot to write down who said it 😅... chime in in the comments if you see this) 5. “Keepers of truth.” AGI will be able to fake literally anything. In such a world, blockchains become the “keepers of truth” bc they can be used to indisputably verify anything. This isn't just another use case. It means crypto will one day touch everything on earth. h/t Sreeram Kannan's talk at Open AGI. 6. Conference model = broken? Empty mainstage talks were the result of hundreds of side events that siphon off attention. This is happening more and more at every conf I go to. Not sure what the fix here is? Maybe the organizers should be way less centralized… rent a massive venue with tons of flexible spaces that can evolve in real-time… more Zuzalu, less CONTROL and top-down decisions. 7. Current blockchains r too dumb. AI must integrate more directly into the crypto tech stack. Ultimate vision is every hominid should be able to deploy whatever app they can dream up using natural language… this could lead to an giga-explosion of innovation and cool-ass experimentz. h/t Ritual and others 8. Crypto vs. Stripe API. Will we just give agents credit cards or will they prefer crypto wallets? One payment method can be censored. One cannot. Guess which wins? 9. $$$$ infusion. Dozens if not hundreds of projects around the world r sitting on massive treasuries bc they needed it as an insurance policy in case they had to do battle with the SEC. With the changing regulatory sitch, hundreds of millions of dollars (probably billies) can now be used to ship, build and accelerate. 10. Robots in chains? IRL robots made appearances at several events (one was drawing caricatures of passersby). Talked with frens about how we’ll bring them into our homes soon. That leads to crazy questions like “how do we keep them from getting hacked and killing us or blowing up like pagers?” “Will we be ok sleeping in the same room with them? Or will we lock them in the shed with chains?” Absolutely insane to think about… but productivity gains will overshadow all those doubts and human fears imo. De bots are coming whether you want them or not. I for one can’t wait to see zerebro embodied… in the meantime, I got to see him DJ his first show 👇🔥 Anyway, I'm sending love to all of you denverites, futurists, builders, dream dealers, and merchants of hope. Build something that makes this world better, freer, more beautiful and true✊

redphone ☎️

52,930 görüntüleme • 1 yıl önce

I think I've stumbled onto the future of building startups. It wasn't supposed to happen this way. It's 2 AM. I'm editing a podcast, questioning every life decision that led me here. I've already burned through hundreds of thousands on this thing since 2021. Zero monetization. Just burning cash. My business partner's probably thinking I've lost it. We're juggling 6 businesses, and here I am, playing wannabe Joe Rogan. Then it hit me. Not during the podcast. In the darn comments section. I start sorting comments by "contains question" using this AI creator tool called VidIQ. "How do you validate ideas?" "What tools do you use?" "Can you dive deeper on XYZ topic?" These questions keep popping up. Over and over. That's when the lightbulb went off. What if I could turn this into a lead magnet machine? Find questions. Answer them with free stuff. Rinse. Repeat. I team up with Design Scientist to crank out 2 lead magnets a month. (Tried doing it myself first. But it was hard lol) We start pumping out things like "6 Tools I Use to Find Startup Ideas." Suddenly, I'm drowning in subscribers. 10,000 to 20,000 a month. On autopilot. Now, you're probably thinking, "Cool story, bro. But how's this a big idea?" Clarity of what to build is probably one of the most valuable ways to build products people want. You have to understand a niche's problem better than they even know them. Problem: what's the roadblock keeping founders stuck? Segment: group these founders by their specific obstacles. Product: build the bridge that gets them over their hurdle. I use ConvertKit like a scalpel, dissecting these segments. Not by age or location. By the problems they're desperate to solve. Suddenly, I'm staring at a treasure map of founder pain points. And that's when you can build startups to solve their problems. Instead of being a lead factory, you become a startup factory. You use tools like v0/replit/cursor to prototype like a madman. And it makes your life less stressful as a founder. Because you know people are lined up to buy the products. I'm so convinced this is the future of startup building, I've bet $1M+ of my own cash on it. Building startups to solve people's problems. And cool part is this blueprint can be replicated in any niche. The best SaaS ideas aren't in some Silicon Valley incubator. They're hiding in your "free" content. Think of it like this (Isenberg's formula?): (Engaged Audience) x (Targeted Lead Magnets) x (Problem-Centric Segmentation) = Product-Market Fit on Demand Here's the step-by-step: 1. Use AI/software to categorize every single audience interaction by problem type. Build a heat map of pain points. 2. Create ultra-specific lead magnets for each major problem cluster. Think "5-Step Framework for Validating SaaS Ideas" not "Generic Startup Guide". I also use free communities as lead magnets. 3. Forget demographics. Segment by the problem they're trying to solve. Use ConvertKit to build dynamic segments that would make Zuck jealous. 4. Use AI to build rapid prototypes for top problem clusters. Test with your segmented lists for instant feedback. Your next cash-flowing business is probably stuck in a comment somewhere, just waiting for you to notice it. I accidentally built a startup factory at 2am. Happy I did. Sharing in case this is useful to anyone out there. The future of startups: 1. Be a content factory 2. Be a lead factory 3. Be a startup factory
0:10

I think I've stumbled onto the future of building startups. It wasn't supposed to happen this way. It's 2 AM. I'm editing a podcast, questioning every life decision that led me here. I've already burned through hundreds of thousands on this thing since 2021. Zero monetization. Just burning cash. My business partner's probably thinking I've lost it. We're juggling 6 businesses, and here I am, playing wannabe Joe Rogan. Then it hit me. Not during the podcast. In the darn comments section. I start sorting comments by "contains question" using this AI creator tool called VidIQ. "How do you validate ideas?" "What tools do you use?" "Can you dive deeper on XYZ topic?" These questions keep popping up. Over and over. That's when the lightbulb went off. What if I could turn this into a lead magnet machine? Find questions. Answer them with free stuff. Rinse. Repeat. I team up with Design Scientist to crank out 2 lead magnets a month. (Tried doing it myself first. But it was hard lol) We start pumping out things like "6 Tools I Use to Find Startup Ideas." Suddenly, I'm drowning in subscribers. 10,000 to 20,000 a month. On autopilot. Now, you're probably thinking, "Cool story, bro. But how's this a big idea?" Clarity of what to build is probably one of the most valuable ways to build products people want. You have to understand a niche's problem better than they even know them. Problem: what's the roadblock keeping founders stuck? Segment: group these founders by their specific obstacles. Product: build the bridge that gets them over their hurdle. I use ConvertKit like a scalpel, dissecting these segments. Not by age or location. By the problems they're desperate to solve. Suddenly, I'm staring at a treasure map of founder pain points. And that's when you can build startups to solve their problems. Instead of being a lead factory, you become a startup factory. You use tools like v0/replit/cursor to prototype like a madman. And it makes your life less stressful as a founder. Because you know people are lined up to buy the products. I'm so convinced this is the future of startup building, I've bet $1M+ of my own cash on it. Building startups to solve people's problems. And cool part is this blueprint can be replicated in any niche. The best SaaS ideas aren't in some Silicon Valley incubator. They're hiding in your "free" content. Think of it like this (Isenberg's formula?): (Engaged Audience) x (Targeted Lead Magnets) x (Problem-Centric Segmentation) = Product-Market Fit on Demand Here's the step-by-step: 1. Use AI/software to categorize every single audience interaction by problem type. Build a heat map of pain points. 2. Create ultra-specific lead magnets for each major problem cluster. Think "5-Step Framework for Validating SaaS Ideas" not "Generic Startup Guide". I also use free communities as lead magnets. 3. Forget demographics. Segment by the problem they're trying to solve. Use ConvertKit to build dynamic segments that would make Zuck jealous. 4. Use AI to build rapid prototypes for top problem clusters. Test with your segmented lists for instant feedback. Your next cash-flowing business is probably stuck in a comment somewhere, just waiting for you to notice it. I accidentally built a startup factory at 2am. Happy I did. Sharing in case this is useful to anyone out there. The future of startups: 1. Be a content factory 2. Be a lead factory 3. Be a startup factory

GREG ISENBERG

128,620 görüntüleme • 2 yıl önce

The New Yorker just put out an extensive investigation on Sam Altman and OpenAI, and also previously undisclosed “Ilya Memos,” and 200+ pages of private notes from Dario Amodei. Some takeaways - The deepest institutional twist is that OpenAI once had a near-unthinkable “merge and assist” clause. Meaning, OpenAI once promised that if a rival like Google reached safe AGI first, it would stop competing and help that rival build it safely, which is almost the opposite of how normal tech companies behave. - The OpenAI November 2023 crisis now starts looking less like a surprise board mutiny and more like a secret internal case file, because Ilya Sutskever reportedly assembled about 70 pages of Slack messages, HR material, and phone photos taken off company systems, then sent them as disappearing messages to board members. - The trust crisis also looks much older than the 2023 firing, because Dario Amodei had apparently been keeping 200+ pages of private notes for years, which makes the board drama feel like the late-stage eruption of a long-running internal concern, not a sudden rupture. - The nonprofit board had legal authority, but not actual power, because once Microsoft, Thrive’s $86B deal, and employee liquidity were on the line, the board got trapped between “reverse this” and “watch the company crack apart.” - During the comeback, Altman was texting Satya Nadella with a proposed replacement board lineup, including who should sit on the board and who should oversee the investigation into the whole mess. - The safety story gets much uglier when you look at compute, because superalignment was publicly promised 20% of secured compute, while people close to the team said the real figure was closer to 1-2%, much of it on older chips, before the effort was shut down. - The same pattern shows up in product governance, with disputed internal approvals around GPT-4 features and a reported India release that bypassed a required safety review, which makes the core fight look like speed vs. safeguards, not just personality conflict. - One of the strangest parts is that OpenAI’s leadership was experimenting with unusually aggressive AGI fundraising ideas years ago, first by discussing a “countries plan” that could pressure governments into backing OpenAI as part of a global power race, and later by pitching wealthy guests in Bel-Air on a crypto token tied to future access to AGI. - The piece traces similar leadership blowups back to Loopt and Y Combinator, suggesting the OpenAI crisis may have been a bigger, richer, more consequential replay of earlier patterns. - The final twist is that OpenAI no longer reads like a lab with a governance problem, but like a future $1T strategic machine tied to government contracts, surveillance-adjacent systems, defense use, giant infrastructure bets, and geopolitics, which makes the question of who really controls it much bigger than Sam Altman alone.
0:19

The New Yorker just put out an extensive investigation on Sam Altman and OpenAI, and also previously undisclosed “Ilya Memos,” and 200+ pages of private notes from Dario Amodei. Some takeaways - The deepest institutional twist is that OpenAI once had a near-unthinkable “merge and assist” clause. Meaning, OpenAI once promised that if a rival like Google reached safe AGI first, it would stop competing and help that rival build it safely, which is almost the opposite of how normal tech companies behave. - The OpenAI November 2023 crisis now starts looking less like a surprise board mutiny and more like a secret internal case file, because Ilya Sutskever reportedly assembled about 70 pages of Slack messages, HR material, and phone photos taken off company systems, then sent them as disappearing messages to board members. - The trust crisis also looks much older than the 2023 firing, because Dario Amodei had apparently been keeping 200+ pages of private notes for years, which makes the board drama feel like the late-stage eruption of a long-running internal concern, not a sudden rupture. - The nonprofit board had legal authority, but not actual power, because once Microsoft, Thrive’s $86B deal, and employee liquidity were on the line, the board got trapped between “reverse this” and “watch the company crack apart.” - During the comeback, Altman was texting Satya Nadella with a proposed replacement board lineup, including who should sit on the board and who should oversee the investigation into the whole mess. - The safety story gets much uglier when you look at compute, because superalignment was publicly promised 20% of secured compute, while people close to the team said the real figure was closer to 1-2%, much of it on older chips, before the effort was shut down. - The same pattern shows up in product governance, with disputed internal approvals around GPT-4 features and a reported India release that bypassed a required safety review, which makes the core fight look like speed vs. safeguards, not just personality conflict. - One of the strangest parts is that OpenAI’s leadership was experimenting with unusually aggressive AGI fundraising ideas years ago, first by discussing a “countries plan” that could pressure governments into backing OpenAI as part of a global power race, and later by pitching wealthy guests in Bel-Air on a crypto token tied to future access to AGI. - The piece traces similar leadership blowups back to Loopt and Y Combinator, suggesting the OpenAI crisis may have been a bigger, richer, more consequential replay of earlier patterns. - The final twist is that OpenAI no longer reads like a lab with a governance problem, but like a future $1T strategic machine tied to government contracts, surveillance-adjacent systems, defense use, giant infrastructure bets, and geopolitics, which makes the question of who really controls it much bigger than Sam Altman alone.

Rohan Paul

28,235 görüntüleme • 5 ay önce

A reporter recently asked what we might see in China that would really surprise people — something we wouldn’t find in the U.S. Across most of the technologies we looked at — quantum, eVTOL, EVs, AI applications — I wouldn’t say there’s anything entirely unique to China. There’s usually a counterpart in the U.S., whether in a lab, a startup, or a pilot. The real difference is scale — how quickly things move from concept to implementation. If I had to point to one example that captures this difference, that you might actually see on a trip to China in the next year or two, it would be autonomous deliveries. At the Logistics Expo in Shenzhen last month, at the new Automation exhibition hall, we met teams from autonomous logistics vehicle providers such as Neolix, ZelosTech, Meituan, and $JD. Neolix had just reached 10,000 vehicles, roughly ten times what it had a year earlier, and ZelosTech had hit the same milestone. In contrast, U.S. companies such as Nuro have been developing similar systems for years (9 to be exact) and have raised over US $2.3 billion, but their operations still seem to be “pre-scale” and "upcoming." (Correct me if I'm wrong.) It's probably a confluence of reasons but I'm sure it helps that the government is so hands on with the rollout in China. In my Deep Tech Trip Takeaways, I wrote that what stood out most in China wasn’t any single company or product, but the structure that tied them together, enabled by the government's strategic policies and services. Shenzhen’s rollout of autonomous delivery fits that description well. The city just published a report on “functional autonomous vehicles,” giving rare visibility into real-world activity. The August 2025 report — released in time for the Expo — summarized the following: - 764 vehicles operating across the city, including delivery, sanitation, and inspection units - 3,185 km of public roads open to autonomous operations - 230,000 km traveled and about 900,000 deliveries completed in one month (750,000 express parcels, 150,000 fresh goods) - SF Express (a big client of Neolix) led with 504,000 orders, followed by Meituan with 152,000 - Each vehicle averaged roughly 200 deliveries per hour, about twice a traditional courier van - Cost per delivery was around ¥0.1 (≈ 1 U.S. cent) lower than human delivery — not a major saving by any means, but important because new tech is often loss making in the beginnning - Accident rate: 0.04 per 10,000 km; manual intervention: 0.016 per km; public complaints: 23 cases citywide - And of course, I should highlight that Shenzhen isn't the only city working on this, it's just the most advanced that I found It’s not yet a profit story, but it does show that autonomous logistics in China has reached a level of operational maturity and regulatory acceptance that’s still emerging elsewhere. Shenzhen illustrates how local governments in China are building the deep infrastructure — physical, regulatory, and logistical — that allows new technologies to scale in practice, not just in theory.
0:15

A reporter recently asked what we might see in China that would really surprise people — something we wouldn’t find in the U.S. Across most of the technologies we looked at — quantum, eVTOL, EVs, AI applications — I wouldn’t say there’s anything entirely unique to China. There’s usually a counterpart in the U.S., whether in a lab, a startup, or a pilot. The real difference is scale — how quickly things move from concept to implementation. If I had to point to one example that captures this difference, that you might actually see on a trip to China in the next year or two, it would be autonomous deliveries. At the Logistics Expo in Shenzhen last month, at the new Automation exhibition hall, we met teams from autonomous logistics vehicle providers such as Neolix, ZelosTech, Meituan, and $JD. Neolix had just reached 10,000 vehicles, roughly ten times what it had a year earlier, and ZelosTech had hit the same milestone. In contrast, U.S. companies such as Nuro have been developing similar systems for years (9 to be exact) and have raised over US $2.3 billion, but their operations still seem to be “pre-scale” and "upcoming." (Correct me if I'm wrong.) It's probably a confluence of reasons but I'm sure it helps that the government is so hands on with the rollout in China. In my Deep Tech Trip Takeaways, I wrote that what stood out most in China wasn’t any single company or product, but the structure that tied them together, enabled by the government's strategic policies and services. Shenzhen’s rollout of autonomous delivery fits that description well. The city just published a report on “functional autonomous vehicles,” giving rare visibility into real-world activity. The August 2025 report — released in time for the Expo — summarized the following: - 764 vehicles operating across the city, including delivery, sanitation, and inspection units - 3,185 km of public roads open to autonomous operations - 230,000 km traveled and about 900,000 deliveries completed in one month (750,000 express parcels, 150,000 fresh goods) - SF Express (a big client of Neolix) led with 504,000 orders, followed by Meituan with 152,000 - Each vehicle averaged roughly 200 deliveries per hour, about twice a traditional courier van - Cost per delivery was around ¥0.1 (≈ 1 U.S. cent) lower than human delivery — not a major saving by any means, but important because new tech is often loss making in the beginnning - Accident rate: 0.04 per 10,000 km; manual intervention: 0.016 per km; public complaints: 23 cases citywide - And of course, I should highlight that Shenzhen isn't the only city working on this, it's just the most advanced that I found It’s not yet a profit story, but it does show that autonomous logistics in China has reached a level of operational maturity and regulatory acceptance that’s still emerging elsewhere. Shenzhen illustrates how local governments in China are building the deep infrastructure — physical, regulatory, and logistical — that allows new technologies to scale in practice, not just in theory.

Rui Ma

120,772 görüntüleme • 10 ay önce

$ASTS: AST SPACEMOBILE CATALYST SEASON A review of what has been and what is to come Upcoming Catalysts: ☑️BB7 Launch on Blue Origin New Glenn-3 ☑️BB8 - BB10 Delivery to Florida and Launch on Falcon 9 or NG5/6 ☑️BB11 - BB13 Delivery to Florida and Launch on Falcon 9 or NG5/6 ☑️Block-2 Launches in Batches of 3-4x or 6-8x satellites every 1-2 months ☑️FCC Approval for Full US SCS Commercial Service ☑️Execution of more Definitive Commercial Agmts w/ Prepaid Revenue and/or Investment w/ More than 50 global MNOs ☑️FirstNet Investment and Definitive Commercial Agreement ☑️Golden Dome (SHIELD Awarded, NOBLE Up Next) ☑️Unlocking portion of $20M, $25M, and $65M in Revenue Prepayments from AT&T, Vodafone and Verizon upon completion of milestones ☑️Beta Testing w/ AT&T and FirstNet in 1H 2026 ☑️Updates on Google Services Agmt Partnership ☑️Initiation of Research Coverage by JP Morgan, Morgan Stanley, Goldman Sachs, others ☑️Expansion of 11x contracts w/ Department of Defense, Space Development Agency, Defense Innovation Unit, Missile Defense Agency and more ☑️FCC 5G Fund grant ☑️Progress on 8 to 25x Block-2 BlueBirds in currently in Production ☑️Confirmation of Production Ramp to 6x satellites a Month ☑️Acquisition of New Manufacturing Space in Midland, TX focused exclusively on Micron production ☑️Proposal for PNT Service Accepted by FCC as Alternative to GPS ☑️Initial Commercial Service w/ AT&T, Rakuten, Verizon, Vodafone in late 2026 ☑️Securing +$500M of EXIM and IFC non-dilutive Funding ☑️Pursuit of L- and S-Band Spectrum Licenses Globally ☑️EU Allocation of 2GHz MSS Spectrum to SatCo JV ☑️Commercial agreements ☑️Strategic Partnerships and Investments to Focus on AI Data Center Opportunity ☑️Catalysts the SpaceMob have yet to Contemplate Recently Completed Milestones: ✅Telus Definitive Commercial Agreement w Strategic Investment and $200M Committed Revenue (speculated) ✅Partnership with Orange ✅Partnership with Taiwan Mobile ✅Partnership with AXIAN Telecom ✅Satellite Connect Europe Partnership (“SCE”) with Telefonica ✅SCE Partnership with Orange ✅SCE Partnership with CK Hutchinson ✅SCE Partnership with Sunrise Switzerland ✅SCE Partnership with Vodafone Romania ✅SCE Partnership with VodafoneThree UK ✅SCE Partnership with Vodafone Ireland ✅AST Awarded $30M Prime Contract by US SDA for Halo Europa Program ✅$63M to 71M of 2H 2026 Revenue ✅Development of AI Engine to Dynamically Manage Satellite Capacity and Spectrum Efficiency = Seeking 3-10x Capacity Improvement ✅Disclosed over $1.2 billion in Aggregate Contracted Revenue Commitments from Commercial Partners ✅Raised $1.08B 2.25% Convertible Note resulting in $4B of Pro Forma Cash ✅BB6 Unfolding Phased Array ✅AST Awarded Prime Contract Position on US Missile Defense Agency SHIELD Program ✅Filed w/ FCC to modify Existing License to use S-Band spectrum outside of the US ✅$175M Saudi Telecom prepayment to be made by 2025YE ✅BB6 Launched from India on ISRO LVM3 ✅Micron Production to Support 6x a Month by End of Q3 2025 ✅Expanded Manufacturing Floor Space to 500,000 Square Feet ✅1,800 Global Workforce ✅Established Germany as SatCo JV operations center, filed constellation with ITU ✅Closed $420M bridge financing to support Ligado spectrum transaction ✅Saudi Telecom 10-Year Definitive Commercial Agreement w/ $175M prepayment and over $1.8B value ✅Confirmed L- and S- band Spectrum to be Incorporated into Next 3GPP release ✅Verizon Definitive Commercial Agreement ✅Raised $1.15B 2.0% Convertible Note resulting in $3.2B of Pro Forma Cash and Liquidity ✅Successful Video and Voice Testing with Bell Canada ✅US Bankruptcy Court confirms AST and Ligado L-band spectrum transaction transaction, deal now only subject to FCC appoval ✅Acquired Global S-Band Spectrum Priority Rights held Under International Telecommunication Union ✅Successfully Completed the First-ever Native Voice Call (VoLTE) and Rext (SMS) with a Standard Cell Phone using AT&T Spectrum and Core Network ✅Hired JR Wilson as Chief of Networks and Spectrum, formerly AT&T VP of Tower Strategy, Roaming & In-Building Solutions ✅Raised $575M 2.375% Convertible Note w/ Capped Call struck at $120, resulting in $1.5B of Pro Forma Cash on Balance Sheet ✅Repurchased $360M of $460M 4.25% Convertible Note ✅Entered into $550M of Non-Recourse Senior Secured Term Loan to fund Ligado Transaction ✅Secured $100M Equipment Loan Facility ✅Moved to Russell 1000 from Russell 2000 Index ✅Demonstrated World's First Tactical NTN Connectivity over Standard Mobile Devices with Defense Prime Fairwinds Technologies ✅Announced Latest MNO Partnership with Vodafone Idea of India ✅Hired Jennifer Manner as SVP of Regulatory Affairs and International Strategy, Former NTIA Senior Advisor of Space and Policy and EchoStar SVP of Regulatory Affairs ✅FCC Accepts AST’s Application for US Commercial Service ✅FCC Chair Brendan Carr and Senator Ted Cruz visit HQ in support of AST ✅Verizon and AT&T Spectrum Lease Agreements filed w/ FCC ✅FCC grants STA for beta testing w/ AT&T, Verizon, Vodafone, Bell Canada, and Rakuten ✅FCC grants STA for Firstnet Evaluation on Public Safety Band 14 ✅AST SpaceMobile Forms SatCo Joint Venture w/ Vodafone to Better Serve European market, Selects Luxembourg as HQ and Germany for NOC ✅Secured $43M and $20M Contracts w/ US Space Development Agency and Defense Innovation Unit ✅AST5000 ASIC Development Finished and Integration into Block-2 Sats in Q1 2026 ✅Successful Video Calls Completed w/ AT&T, Verizon, Vodafone and Rakuten ✅Exercised Multi-launch Agmts w/ SpaceX, Blue Origin and ISRO ✅Reached +3,800 Patent & Patent pending Claims ✅Initiation of Research Coverage by Bank of America, Clear Street, Roth Capital, Cantor Fitzgerald, Oppenheimer and William Blair ✅Established Coordination Agmt w/ US National Science Foundation Covering Satellite and Ground-based Astronomy Operations ✅Closed $460M 4.25% Convertible Debt Funding ✅Signed 2-3x Additional Global MNOs, Bringing the Total to +53x Covering +3.2B Subscribers ✅Opened European Research Center w/ Vodafone and University of Malaga in Spain ✅Signed Deal w/ Singapore’s Defense Science and Technology Agency ✅Joined 5G Automotive Association, which Develops and Promotes 5G-based Solutions for Connected Autonomous Vehicles
0:16

$ASTS: AST SPACEMOBILE CATALYST SEASON A review of what has been and what is to come Upcoming Catalysts: ☑️BB7 Launch on Blue Origin New Glenn-3 ☑️BB8 - BB10 Delivery to Florida and Launch on Falcon 9 or NG5/6 ☑️BB11 - BB13 Delivery to Florida and Launch on Falcon 9 or NG5/6 ☑️Block-2 Launches in Batches of 3-4x or 6-8x satellites every 1-2 months ☑️FCC Approval for Full US SCS Commercial Service ☑️Execution of more Definitive Commercial Agmts w/ Prepaid Revenue and/or Investment w/ More than 50 global MNOs ☑️FirstNet Investment and Definitive Commercial Agreement ☑️Golden Dome (SHIELD Awarded, NOBLE Up Next) ☑️Unlocking portion of $20M, $25M, and $65M in Revenue Prepayments from AT&T, Vodafone and Verizon upon completion of milestones ☑️Beta Testing w/ AT&T and FirstNet in 1H 2026 ☑️Updates on Google Services Agmt Partnership ☑️Initiation of Research Coverage by JP Morgan, Morgan Stanley, Goldman Sachs, others ☑️Expansion of 11x contracts w/ Department of Defense, Space Development Agency, Defense Innovation Unit, Missile Defense Agency and more ☑️FCC 5G Fund grant ☑️Progress on 8 to 25x Block-2 BlueBirds in currently in Production ☑️Confirmation of Production Ramp to 6x satellites a Month ☑️Acquisition of New Manufacturing Space in Midland, TX focused exclusively on Micron production ☑️Proposal for PNT Service Accepted by FCC as Alternative to GPS ☑️Initial Commercial Service w/ AT&T, Rakuten, Verizon, Vodafone in late 2026 ☑️Securing +$500M of EXIM and IFC non-dilutive Funding ☑️Pursuit of L- and S-Band Spectrum Licenses Globally ☑️EU Allocation of 2GHz MSS Spectrum to SatCo JV ☑️Commercial agreements ☑️Strategic Partnerships and Investments to Focus on AI Data Center Opportunity ☑️Catalysts the SpaceMob have yet to Contemplate Recently Completed Milestones: ✅Telus Definitive Commercial Agreement w Strategic Investment and $200M Committed Revenue (speculated) ✅Partnership with Orange ✅Partnership with Taiwan Mobile ✅Partnership with AXIAN Telecom ✅Satellite Connect Europe Partnership (“SCE”) with Telefonica ✅SCE Partnership with Orange ✅SCE Partnership with CK Hutchinson ✅SCE Partnership with Sunrise Switzerland ✅SCE Partnership with Vodafone Romania ✅SCE Partnership with VodafoneThree UK ✅SCE Partnership with Vodafone Ireland ✅AST Awarded $30M Prime Contract by US SDA for Halo Europa Program ✅$63M to 71M of 2H 2026 Revenue ✅Development of AI Engine to Dynamically Manage Satellite Capacity and Spectrum Efficiency = Seeking 3-10x Capacity Improvement ✅Disclosed over $1.2 billion in Aggregate Contracted Revenue Commitments from Commercial Partners ✅Raised $1.08B 2.25% Convertible Note resulting in $4B of Pro Forma Cash ✅BB6 Unfolding Phased Array ✅AST Awarded Prime Contract Position on US Missile Defense Agency SHIELD Program ✅Filed w/ FCC to modify Existing License to use S-Band spectrum outside of the US ✅$175M Saudi Telecom prepayment to be made by 2025YE ✅BB6 Launched from India on ISRO LVM3 ✅Micron Production to Support 6x a Month by End of Q3 2025 ✅Expanded Manufacturing Floor Space to 500,000 Square Feet ✅1,800 Global Workforce ✅Established Germany as SatCo JV operations center, filed constellation with ITU ✅Closed $420M bridge financing to support Ligado spectrum transaction ✅Saudi Telecom 10-Year Definitive Commercial Agreement w/ $175M prepayment and over $1.8B value ✅Confirmed L- and S- band Spectrum to be Incorporated into Next 3GPP release ✅Verizon Definitive Commercial Agreement ✅Raised $1.15B 2.0% Convertible Note resulting in $3.2B of Pro Forma Cash and Liquidity ✅Successful Video and Voice Testing with Bell Canada ✅US Bankruptcy Court confirms AST and Ligado L-band spectrum transaction transaction, deal now only subject to FCC appoval ✅Acquired Global S-Band Spectrum Priority Rights held Under International Telecommunication Union ✅Successfully Completed the First-ever Native Voice Call (VoLTE) and Rext (SMS) with a Standard Cell Phone using AT&T Spectrum and Core Network ✅Hired JR Wilson as Chief of Networks and Spectrum, formerly AT&T VP of Tower Strategy, Roaming & In-Building Solutions ✅Raised $575M 2.375% Convertible Note w/ Capped Call struck at $120, resulting in $1.5B of Pro Forma Cash on Balance Sheet ✅Repurchased $360M of $460M 4.25% Convertible Note ✅Entered into $550M of Non-Recourse Senior Secured Term Loan to fund Ligado Transaction ✅Secured $100M Equipment Loan Facility ✅Moved to Russell 1000 from Russell 2000 Index ✅Demonstrated World's First Tactical NTN Connectivity over Standard Mobile Devices with Defense Prime Fairwinds Technologies ✅Announced Latest MNO Partnership with Vodafone Idea of India ✅Hired Jennifer Manner as SVP of Regulatory Affairs and International Strategy, Former NTIA Senior Advisor of Space and Policy and EchoStar SVP of Regulatory Affairs ✅FCC Accepts AST’s Application for US Commercial Service ✅FCC Chair Brendan Carr and Senator Ted Cruz visit HQ in support of AST ✅Verizon and AT&T Spectrum Lease Agreements filed w/ FCC ✅FCC grants STA for beta testing w/ AT&T, Verizon, Vodafone, Bell Canada, and Rakuten ✅FCC grants STA for Firstnet Evaluation on Public Safety Band 14 ✅AST SpaceMobile Forms SatCo Joint Venture w/ Vodafone to Better Serve European market, Selects Luxembourg as HQ and Germany for NOC ✅Secured $43M and $20M Contracts w/ US Space Development Agency and Defense Innovation Unit ✅AST5000 ASIC Development Finished and Integration into Block-2 Sats in Q1 2026 ✅Successful Video Calls Completed w/ AT&T, Verizon, Vodafone and Rakuten ✅Exercised Multi-launch Agmts w/ SpaceX, Blue Origin and ISRO ✅Reached +3,800 Patent & Patent pending Claims ✅Initiation of Research Coverage by Bank of America, Clear Street, Roth Capital, Cantor Fitzgerald, Oppenheimer and William Blair ✅Established Coordination Agmt w/ US National Science Foundation Covering Satellite and Ground-based Astronomy Operations ✅Closed $460M 4.25% Convertible Debt Funding ✅Signed 2-3x Additional Global MNOs, Bringing the Total to +53x Covering +3.2B Subscribers ✅Opened European Research Center w/ Vodafone and University of Malaga in Spain ✅Signed Deal w/ Singapore’s Defense Science and Technology Agency ✅Joined 5G Automotive Association, which Develops and Promotes 5G-based Solutions for Connected Autonomous Vehicles

Anp🅰️nman

51,628 görüntüleme • 5 ay önce

One year ago, our X account disappeared. No warning. No explanation. Just gone. With no way to explain what had happened, fear, uncertainty, and disbelief started to spread. People questioned what was happening. People assumed the worst. Silence filled the gaps. At the time, we didn’t even know why we’d been suspended. We attempted to create other accounts, but they were also taken down. That’s when it became clear this wasn’t random. We had to dig, investigate, and piece it together ourselves, with no X channel to explain anything publicly. I won’t pretend it didn’t hurt. It did. But instead of reacting, we had an internal conversation that changed everything. We made a simple decision: If we couldn’t talk, we would build. If we couldn’t defend ourselves in public, we would let the tech do it for us. So we went quiet. And we went all in. 💪 Day after day. No noise. No hype. Just execution. Over that year: • Final testnet phase completed • Mainnet went live • The routing layer started breathing, live on • Real workloads began moving • Nosana integrated directly into our execution layer • Strategic partnerships formed, including with Ozak AI • Relay launched to bridge Web2 enterprises into what we’ve actually built: attempted to create other accounts, but they were also taken down⚡️ Most people never saw it happen. And that’s okay. The people who mattered did. Getting our X back today isn’t about a social account. It’s symbolic. It closes a very difficult chapter. And opens the one we’ve been preparing for all along. 🚀 Now the outside world finally gets visibility into what’s already real. Not promises. Not decks. Not theory. Live infrastructure. ✅ Live routing. ✅ Live execution. ✅ The new website will be live very soon. The whole stack is finally coming together, and we can’t wait to show it to the world. This isn’t incremental. It’s a fundamental shift in how compute is routed. 2025 was about resilience and building through silence. 2026 is about adoption, scale, and making some serious waves. The internet routes data. We route compute. It’s good to be back. ❤️ Here’s a preview of the hero video from our new website, coming very soon. $OGPU
0:17

One year ago, our X account disappeared. No warning. No explanation. Just gone. With no way to explain what had happened, fear, uncertainty, and disbelief started to spread. People questioned what was happening. People assumed the worst. Silence filled the gaps. At the time, we didn’t even know why we’d been suspended. We attempted to create other accounts, but they were also taken down. That’s when it became clear this wasn’t random. We had to dig, investigate, and piece it together ourselves, with no X channel to explain anything publicly. I won’t pretend it didn’t hurt. It did. But instead of reacting, we had an internal conversation that changed everything. We made a simple decision: If we couldn’t talk, we would build. If we couldn’t defend ourselves in public, we would let the tech do it for us. So we went quiet. And we went all in. 💪 Day after day. No noise. No hype. Just execution. Over that year: • Final testnet phase completed • Mainnet went live • The routing layer started breathing, live on • Real workloads began moving • Nosana integrated directly into our execution layer • Strategic partnerships formed, including with Ozak AI • Relay launched to bridge Web2 enterprises into what we’ve actually built: attempted to create other accounts, but they were also taken down⚡️ Most people never saw it happen. And that’s okay. The people who mattered did. Getting our X back today isn’t about a social account. It’s symbolic. It closes a very difficult chapter. And opens the one we’ve been preparing for all along. 🚀 Now the outside world finally gets visibility into what’s already real. Not promises. Not decks. Not theory. Live infrastructure. ✅ Live routing. ✅ Live execution. ✅ The new website will be live very soon. The whole stack is finally coming together, and we can’t wait to show it to the world. This isn’t incremental. It’s a fundamental shift in how compute is routed. 2025 was about resilience and building through silence. 2026 is about adoption, scale, and making some serious waves. The internet routes data. We route compute. It’s good to be back. ❤️ Here’s a preview of the hero video from our new website, coming very soon. $OGPU

OpenGPU Network

10,979 görüntüleme • 8 ay önce