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

abdel

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16,727 次观看 • 12 天前 •via X (Twitter)

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World Labs CEO Dr. Fei-Fei Li explains says "world model" has become an overloaded term & explains what each kind of world model does: "Right now there are three ways of calling world models when it comes to spatial intelligence." "One is what I call a renderer, when the model puts beautiful pixels on the screen." "Another kind of world model is what we call a planner. That is more for machines, more for robots." "The third kind, which I think is the linchpin of the three, is a simulator." "A simulator could become a renderer. The simulator could become a planner. But this layer is a huge critical path to unlock spatial intelligence. And that's what World Labs is working on." Fei-Fei Li at Bloomberg Tech live with Emily Chang

World Labs CEO Dr. Fei-Fei Li explains says "world model" has become an overloaded term & explains what each kind of world model does: "Right now there are three ways of calling world models when it comes to spatial intelligence." "One is what I call a renderer, when the model puts beautiful pixels on the screen." "Another kind of world model is what we call a planner. That is more for machines, more for robots." "The third kind, which I think is the linchpin of the three, is a simulator." "A simulator could become a renderer. The simulator could become a planner. But this layer is a huge critical path to unlock spatial intelligence. And that's what World Labs is working on." Fei-Fei Li at Bloomberg Tech live with Emily Chang

a16z

111,872 次观看 • 26 天前

This is THE moment of Physical AI! We are officially announcing Cosmos 3: Omnimodal World Models for Physical AI 🚀 - Cosmos 3 is an omnimodal world model: within a unified architecture, it can understand and generate language, images, video, audio, and actions. - It is not just a VLM, not just a video generator, not just an audio-visual generative model, and not just a physics simulator / world-action model. It can understand images and videos, generate images, videos, and audio, simulate future worlds, predict actions, and generate robot policies—enabling models to truly begin to “touch the world.” - Cosmos 3 is the #1 open-weight reasoner / T2I / I2V / robot policy across many benchmarks. Huge thanks to every teammate who fought side by side on this journey—from architecture, data, training, infra, serving, and evaluation to post-training. Every part of this project carries an incredible amount of hard work. This was my first time leading a project as Tech Lead, and I feel truly fortunate. The future of Physical AI needs models that can not only “see” and “describe” the world, but also “imagine,” “simulate,” and “act”—and eventually close the loop with the real world. I hope Cosmos 3 can become an important starting point for this direction, and I’m excited to push Physical AI into its next stage together with the open-source community. Welcome to the era of Physical AI. HuggingFace: Project Website: Code:

This is THE moment of Physical AI! We are officially announcing Cosmos 3: Omnimodal World Models for Physical AI 🚀 - Cosmos 3 is an omnimodal world model: within a unified architecture, it can understand and generate language, images, video, audio, and actions. - It is not just a VLM, not just a video generator, not just an audio-visual generative model, and not just a physics simulator / world-action model. It can understand images and videos, generate images, videos, and audio, simulate future worlds, predict actions, and generate robot policies—enabling models to truly begin to “touch the world.” - Cosmos 3 is the #1 open-weight reasoner / T2I / I2V / robot policy across many benchmarks. Huge thanks to every teammate who fought side by side on this journey—from architecture, data, training, infra, serving, and evaluation to post-training. Every part of this project carries an incredible amount of hard work. This was my first time leading a project as Tech Lead, and I feel truly fortunate. The future of Physical AI needs models that can not only “see” and “describe” the world, but also “imagine,” “simulate,” and “act”—and eventually close the loop with the real world. I hope Cosmos 3 can become an important starting point for this direction, and I’m excited to push Physical AI into its next stage together with the open-source community. Welcome to the era of Physical AI. HuggingFace: Project Website: Code:

Max Zhaoshuo Li 李赵硕

1,077,581 次观看 • 1 个月前

Your faith was forged in people who would rather be exterminated than assimilated. A soft version of it, eager to be liked and desperate to fit in, is not the thing they died to hand you. So stop striving to be liked. Stop angling to be loved by a world that drove your fathers into the snow. That world would think no better of the gospel today than it did in 1838. Stop trying to file down every peculiar and glorious edge of the Restoration until the world finally finds you acceptable. It never will. And the wanting of its approval is the slow death of everything your people bled to preserve. I am thinking of the proclamation on the family, and of how many have quietly gone looking for a way around it. Some say it aloud now. Some march under the world's Pride banners and tell themselves it is only love. They have done the quiet arithmetic and concluded that if they give the world this one doctrine, the world will finally stop hating them, finally let them belong, finally call them good. It does not work that way. It has never once worked that way. Understand what the world actually hates, because it is not a single teaching about marriage that it cannot abide. It is the claim. It is the unbearable, scandalous claim that the keys of the priesthood were restored to the earth, that there is a prophet who speaks for God, that this and no other is the authorized house of the Lord. That is the offense. That is what it cannot forgive. You could surrender every doctrine the world finds distasteful, one after another, and you would not buy a single hour of peace, because the thing it objects to is not your position on this or that. It is that you claim to hold the authority of heaven, and it intends to see that claim humbled. The doctrine is only the doorway it is pushing on. The house is what it wants. Embrace the truth. Embrace the battle that has always come with it, because there has always been a battle, and there is one now. It is the oldest war there is, good against evil, light against the dark, and you were born onto its field whether you wished to be or not. You did not inherit a museum. You inherited a war, and a banner, and a people who never once surrendered it. You are a Mormon. The blood of the persecuted is in you, and the truth they died for is in your hands. You are not tourists. You are not spectators. You are the heirs of warriors, and the line they held is now yours to hold. So plant your feet on the ground they bled for. Lift the banner they would not drop.

Your faith was forged in people who would rather be exterminated than assimilated. A soft version of it, eager to be liked and desperate to fit in, is not the thing they died to hand you. So stop striving to be liked. Stop angling to be loved by a world that drove your fathers into the snow. That world would think no better of the gospel today than it did in 1838. Stop trying to file down every peculiar and glorious edge of the Restoration until the world finally finds you acceptable. It never will. And the wanting of its approval is the slow death of everything your people bled to preserve. I am thinking of the proclamation on the family, and of how many have quietly gone looking for a way around it. Some say it aloud now. Some march under the world's Pride banners and tell themselves it is only love. They have done the quiet arithmetic and concluded that if they give the world this one doctrine, the world will finally stop hating them, finally let them belong, finally call them good. It does not work that way. It has never once worked that way. Understand what the world actually hates, because it is not a single teaching about marriage that it cannot abide. It is the claim. It is the unbearable, scandalous claim that the keys of the priesthood were restored to the earth, that there is a prophet who speaks for God, that this and no other is the authorized house of the Lord. That is the offense. That is what it cannot forgive. You could surrender every doctrine the world finds distasteful, one after another, and you would not buy a single hour of peace, because the thing it objects to is not your position on this or that. It is that you claim to hold the authority of heaven, and it intends to see that claim humbled. The doctrine is only the doorway it is pushing on. The house is what it wants. Embrace the truth. Embrace the battle that has always come with it, because there has always been a battle, and there is one now. It is the oldest war there is, good against evil, light against the dark, and you were born onto its field whether you wished to be or not. You did not inherit a museum. You inherited a war, and a banner, and a people who never once surrendered it. You are a Mormon. The blood of the persecuted is in you, and the truth they died for is in your hands. You are not tourists. You are not spectators. You are the heirs of warriors, and the line they held is now yours to hold. So plant your feet on the ground they bled for. Lift the banner they would not drop.

Kirk Rollins

30,483 次观看 • 16 天前

I've become a missionary with one message. Every time I meet a young person, the same words: have children, get married, build a family. I did not decide on this calling. It overtook me. And it overtook me for a single reason. I had no idea. I genuinely did not understand how much joy, how much meaning, how much sheer beauty pours out of a child until I was holding one of my own and felt the floor of my life drop into something deeper than I knew was there. I grew up white, affluent, secular, comfortable, and insulated. That world does not put babies in front of you. None of my friends were starting families. Out of my whole circle, almost no one has a big one. We were not formed by the presence of children. We were formed by their absence, by the strange quiet of homes built for two careers and no cradle. And a person believes what his world shows him. So we believed. What we believed was a lie. It is a lie with an author, and that the author is the enemy of joy himself. It is the gospel of the world, and its commandment is wait. Wait until you are older. Wait until the career is built and the savings are stacked and the twenties are properly spent. Enjoy your freedom. You are not ready. It does not arrive sounding like temptation. It arrives sounding like wisdom, like prudence, like the responsible thing, and that is exactly why it works. The most effective lies are the ones that wear the face of virtue. And the maddening thing is that it collapses from every angle at once. It is not rooted in biology, because the body is made for this work precisely in the years we are told to postpone it. The flesh keeps a calendar the culture pretends not to see. And it is not rooted in theology either. You will not find this deferral anywhere in the Christian imagination, in any of the fathers, in any of the scriptures. So choose whatever lens you like. Take the cold secular measure or the ancient sacred one. By either light the counsel is rotten. It is bad for the body and bad for the soul and bad for the society downstream of both. This is why I have come to see it as one of the central tragedies of my generation. Every age carries its own wound. The Great Depression was a depression of bread, a scarcity in the world of matter, hunger you could measure. Ours is a depression of a different order. It is a famine of the spirit in the middle of abundance. We have more than any people who ever lived and we are starving in a way our ancestors would not recognize, because the thing we are refusing cannot be bought and cannot be banked. The ones most made to give and receive this love are quietly declining it. They are walking away from the one inheritance that actually compounds, and the cruelest part is that they do not feel the loss as loss. You cannot grieve what you were taught not to want. That is the deepest cut of it. The lie does not only steal the thing. It steals the capacity to know the thing was stolen. A man can spend his whole life on the far side of a door he never knew was a door, mistaking the wall for the edge of the world. Because this beauty is not ordinary beauty. It is not the pleasure of a good meal or a clear morning. It is participation in something that comes down from above, the same generative love that spoke everything out of nothing and called it good. To make a person, to be undone and remade by loving that person more than your own life, is to be drawn for a moment inside the very act that holds the cosmos together. A child does not merely add to your life. A child reorders the soul. It teaches you what you are by asking everything of you, and you discover, kneeling there exhausted at three in the morning, that you had a capacity for self gift you never suspected, a depth in yourself you had no other way to reach. In the Gospel of John, on the last night, Jesus prays, these things I have spoken to you that my joy may be in you, and that your joy may be complete. And I have come to understand why family is the road into that fullness, why it is not one path among many but the one most fitted to the shape of the promise. Consider who is praying. Christ does not come to us as a lone figure dropped out of the sky. He comes out of a family older than the world, the eternal communion of Father and Son, the love between them so total and so alive that theologians dared to call it a third person. Before there was anything, there was a family. The deepest fact about reality is not a force or a law or a void. It is a household. It is begetting and being begotten, giving and receiving, a Father who is only a Father because there is a Son. So when Jesus speaks of joy made complete, he is not pointing away from family toward something higher. He is pointing toward the very thing he came from, the life he has known from eternity and came to share. His joy is the joy of belonging utterly to a Father and pouring himself out for those he loves. When you marry, when you bring a child into the world, when you wear yourself down in the small unseen labors of a home, you are not stepping outside that divine life. You are stepping into a small image of it. Your family is a created echo of an uncreated one. The love you give your child rhymes with the love the Father has for the Son. The exhaustion, the tenderness, the way a parent would tear the sky open to protect a sleeping infant, all of it is the heavens pressed faintly into flesh, the eternal household leaving its fingerprint on yours. That is why the joy is not merely added to family but completed in it. We were made in the image of a God who is, at his very root, relation and gift and generation. To found a family is to do the most Godlike thing a creature can do, to participate from below in the begetting that God does from all eternity. Your home becomes a window. Through it, dimly and imperfectly, you glimpse the country you came from and are going to. And now a word for the young people reading this, the ones who do not yet have children. I want to tell you what it is like from where I stand. When I am out somewhere, a restaurant, anywhere, and a large family comes through the door, the noise and the chaos and the small bodies of them, something happens in me on two levels at once. The first is joy. A pure gladness at the sight, the way you feel watching something good and alive. But underneath it, almost in the same instant, a sadness reaches up and takes hold of my heart. Because I know now, at my age, after my own years of waiting, that I will never have that. I will never know the particular fruit of a family that large, the fullness of that table, the weight of all those lives gathered under one roof. The door to it has quietly closed, and I felt it close. And I am telling you plainly, because I love you and have no reason to lie to you: you will feel this too. You will. The day will come when you see what you passed up, and you will recognize the ache for what it is, and it will be too late to answer it. So please, learn from a man who got it wrong. Let my regret be worth something by becoming your wisdom. Do not wait yourself into a grief you cannot undo. Choose now, while the door is open, so that you may step into a joy that does not end.

I've become a missionary with one message. Every time I meet a young person, the same words: have children, get married, build a family. I did not decide on this calling. It overtook me. And it overtook me for a single reason. I had no idea. I genuinely did not understand how much joy, how much meaning, how much sheer beauty pours out of a child until I was holding one of my own and felt the floor of my life drop into something deeper than I knew was there. I grew up white, affluent, secular, comfortable, and insulated. That world does not put babies in front of you. None of my friends were starting families. Out of my whole circle, almost no one has a big one. We were not formed by the presence of children. We were formed by their absence, by the strange quiet of homes built for two careers and no cradle. And a person believes what his world shows him. So we believed. What we believed was a lie. It is a lie with an author, and that the author is the enemy of joy himself. It is the gospel of the world, and its commandment is wait. Wait until you are older. Wait until the career is built and the savings are stacked and the twenties are properly spent. Enjoy your freedom. You are not ready. It does not arrive sounding like temptation. It arrives sounding like wisdom, like prudence, like the responsible thing, and that is exactly why it works. The most effective lies are the ones that wear the face of virtue. And the maddening thing is that it collapses from every angle at once. It is not rooted in biology, because the body is made for this work precisely in the years we are told to postpone it. The flesh keeps a calendar the culture pretends not to see. And it is not rooted in theology either. You will not find this deferral anywhere in the Christian imagination, in any of the fathers, in any of the scriptures. So choose whatever lens you like. Take the cold secular measure or the ancient sacred one. By either light the counsel is rotten. It is bad for the body and bad for the soul and bad for the society downstream of both. This is why I have come to see it as one of the central tragedies of my generation. Every age carries its own wound. The Great Depression was a depression of bread, a scarcity in the world of matter, hunger you could measure. Ours is a depression of a different order. It is a famine of the spirit in the middle of abundance. We have more than any people who ever lived and we are starving in a way our ancestors would not recognize, because the thing we are refusing cannot be bought and cannot be banked. The ones most made to give and receive this love are quietly declining it. They are walking away from the one inheritance that actually compounds, and the cruelest part is that they do not feel the loss as loss. You cannot grieve what you were taught not to want. That is the deepest cut of it. The lie does not only steal the thing. It steals the capacity to know the thing was stolen. A man can spend his whole life on the far side of a door he never knew was a door, mistaking the wall for the edge of the world. Because this beauty is not ordinary beauty. It is not the pleasure of a good meal or a clear morning. It is participation in something that comes down from above, the same generative love that spoke everything out of nothing and called it good. To make a person, to be undone and remade by loving that person more than your own life, is to be drawn for a moment inside the very act that holds the cosmos together. A child does not merely add to your life. A child reorders the soul. It teaches you what you are by asking everything of you, and you discover, kneeling there exhausted at three in the morning, that you had a capacity for self gift you never suspected, a depth in yourself you had no other way to reach. In the Gospel of John, on the last night, Jesus prays, these things I have spoken to you that my joy may be in you, and that your joy may be complete. And I have come to understand why family is the road into that fullness, why it is not one path among many but the one most fitted to the shape of the promise. Consider who is praying. Christ does not come to us as a lone figure dropped out of the sky. He comes out of a family older than the world, the eternal communion of Father and Son, the love between them so total and so alive that theologians dared to call it a third person. Before there was anything, there was a family. The deepest fact about reality is not a force or a law or a void. It is a household. It is begetting and being begotten, giving and receiving, a Father who is only a Father because there is a Son. So when Jesus speaks of joy made complete, he is not pointing away from family toward something higher. He is pointing toward the very thing he came from, the life he has known from eternity and came to share. His joy is the joy of belonging utterly to a Father and pouring himself out for those he loves. When you marry, when you bring a child into the world, when you wear yourself down in the small unseen labors of a home, you are not stepping outside that divine life. You are stepping into a small image of it. Your family is a created echo of an uncreated one. The love you give your child rhymes with the love the Father has for the Son. The exhaustion, the tenderness, the way a parent would tear the sky open to protect a sleeping infant, all of it is the heavens pressed faintly into flesh, the eternal household leaving its fingerprint on yours. That is why the joy is not merely added to family but completed in it. We were made in the image of a God who is, at his very root, relation and gift and generation. To found a family is to do the most Godlike thing a creature can do, to participate from below in the begetting that God does from all eternity. Your home becomes a window. Through it, dimly and imperfectly, you glimpse the country you came from and are going to. And now a word for the young people reading this, the ones who do not yet have children. I want to tell you what it is like from where I stand. When I am out somewhere, a restaurant, anywhere, and a large family comes through the door, the noise and the chaos and the small bodies of them, something happens in me on two levels at once. The first is joy. A pure gladness at the sight, the way you feel watching something good and alive. But underneath it, almost in the same instant, a sadness reaches up and takes hold of my heart. Because I know now, at my age, after my own years of waiting, that I will never have that. I will never know the particular fruit of a family that large, the fullness of that table, the weight of all those lives gathered under one roof. The door to it has quietly closed, and I felt it close. And I am telling you plainly, because I love you and have no reason to lie to you: you will feel this too. You will. The day will come when you see what you passed up, and you will recognize the ache for what it is, and it will be too late to answer it. So please, learn from a man who got it wrong. Let my regret be worth something by becoming your wisdom. Do not wait yourself into a grief you cannot undo. Choose now, while the door is open, so that you may step into a joy that does not end.

Kirk Rollins

77,958 次观看 • 29 天前

This is not for people who build World Models. I get an exclusive look inside one of the best AI labs in the world in Silicon Valley, Institute of Foundation Models, and talk with Hector Liu, Hector Liu, who leads World Model research there. These will be the “brains” of humanoid robots, and the key tech for all sorts of other things. I met with him to try to figure out how far away a truly generalized robot is. More on this lab and what they do at:

This is not for people who build World Models. I get an exclusive look inside one of the best AI labs in the world in Silicon Valley, Institute of Foundation Models, and talk with Hector Liu, Hector Liu, who leads World Model research there. These will be the “brains” of humanoid robots, and the key tech for all sorts of other things. I met with him to try to figure out how far away a truly generalized robot is. More on this lab and what they do at:

Robert Scoble

28,188 次观看 • 1 天前

Using Claude Fable 5, I built a model that predicts the entire 2026 FIFA world cup.. every single game, not just the final.. so let me break the whole thing down. what it does, how it works, and exactly how i built it.. #1 First what it does: it predicts all 104 games of the tournament. not just who lifts the trophy, but every group match, every knockout, the full path from the round of 32 to the final.. everything lands in one dashboard: > group stage, every match with each team's win % and the chance of a draw > standings, how all 12 groups are projected to finish > bracket, the full knockout tree with each team's odds of advancing > champion odds, who's most likely to actually win it all and it doesn't freeze after one prediction. the moment a real game is played, it locks that result in and re-runs everything around it. so the odds move live as the tournament goes, week by week you watch favorites rise and contenders collapse. #2. How it works: the core idea is simple. the model only ever predicts one thing, a single match. the real trick is the repetition. it learns from decades of match history, then plays the whole tournament out from the first game to the final, tens of thousands of times. each run it records who advanced and who won. do that enough and you stop getting one guess and start getting real odds, one team lifts the trophy in maybe 14% of the runs, another in 9%, and so on. #3. So, how i built it ? i didn't hand-write most of the code. i broke the project into 4 pieces, described each one to fable, and let it build while i focused on getting the football logic exactly right. - The data every international match going back over a century, around 50,000 games, plus each team's elo rating, which is the truest measure of strength, and the official 2026 schedule. garbage data means garbage predictions, so this part mattered most. - The features i turned that raw history into signals the model can learn from, the elo gap between the two teams, recent form, goals scored and conceded, and a home boost for the hosts, usa, canada and mexico. - The model for each match it predicts the expected goals for both sides, then turns that into win, draw and loss probabilities plus a likely scoreline. that's what feeds the simulation. - The tournament engine this was the hard part. the 2026 world cup is brand new, 48 teams, 12 groups, a round of 32 that's never existed before, and 8 "best third-placed" teams that slot into the bracket by a fixed fifa table. even the group tiebreakers changed this year, head to head now counts before goal difference. get any of it wrong and the whole bracket falls apart, so i built it carefully and tested the format until it was exact, then wrapped it in a simulation loop that plays the tournament out tens of thousands of times. and the last piece, the live part. as real results come in, they get locked, and only the unplayed games get re-simulated. that's what makes it a living model instead of a one-time prediction. all of it outputs to a clean dashboard you can actually read and screenshot.. right now, before kickoff, it already has a clear favorite to lift the trophy.. 👀 btw who's your pick to win the 2026 world cup?

Axel Bitblaze 🪓

49,714 次观看 • 23 天前

Klaus Schwab Tells the World to Get Ready for a Transhumanist Future “Just think of the power,” he says, “of the combination of artificial intelligence, quantum computing, and big data.” Schwab, founder and executive chairman of the World Economic Forum (WEF), predicts in ten years, the world “will be completely different from what it is now.” “I think we have to be prepared for a world where we see a fusion of our physical, our digital, and our biological dimensions. So, it will be a world integrating the physical, biological, and the digital dimensions.”

Klaus Schwab Tells the World to Get Ready for a Transhumanist Future “Just think of the power,” he says, “of the combination of artificial intelligence, quantum computing, and big data.” Schwab, founder and executive chairman of the World Economic Forum (WEF), predicts in ten years, the world “will be completely different from what it is now.” “I think we have to be prepared for a world where we see a fusion of our physical, our digital, and our biological dimensions. So, it will be a world integrating the physical, biological, and the digital dimensions.”

The Vigilant Fox 🦊

136,642 次观看 • 2 年前

This world is exhausting. When you see the world for what it really is- the evil, the corruption, the lies- it is a heavy burden to carry around. And when your family, friends, coworkers don’t see the world like you do and think you are the crazy one, it can be tiring. This world is no longer the same, and I don’t know about anyone else, but I am so ready for Jesus to come back 🙌🏻

This world is exhausting. When you see the world for what it really is- the evil, the corruption, the lies- it is a heavy burden to carry around. And when your family, friends, coworkers don’t see the world like you do and think you are the crazy one, it can be tiring. This world is no longer the same, and I don’t know about anyone else, but I am so ready for Jesus to come back 🙌🏻

Ashley Hays

131,440 次观看 • 1 年前

Why LLMs are a dead end for human-level intelligence, and especially for Physical AI / Robotics. The next leap isn’t bigger language models. It’s World Models. I just dropped a full 1-hour presentation from Shanghai: “World Models: the ChatGPT moment for robotics?” → Why LLMs hit a wall → Why action-conditioned world models planning in latent space are the real path → Live World Forge demo with LeWorldModel + Hugging Face LeRobot Watch here. The future of intelligence is embodied, not just chatty.

Why LLMs are a dead end for human-level intelligence, and especially for Physical AI / Robotics. The next leap isn’t bigger language models. It’s World Models. I just dropped a full 1-hour presentation from Shanghai: “World Models: the ChatGPT moment for robotics?” → Why LLMs hit a wall → Why action-conditioned world models planning in latent space are the real path → Live World Forge demo with LeWorldModel + Hugging Face LeRobot Watch here. The future of intelligence is embodied, not just chatty.

abdel

34,523 次观看 • 1 个月前

Sam Altman just handed every startup founder a one-question autopsy. Altman: “If you’re building something on GPT-4 that a reasonable observer would say we’re going to steamroll you.” Not might. Not could. Going to. He said it with the calm of someone describing weather. Because to him it is weather. The model improves. Whatever was built on the old version’s weaknesses gets washed away. That is not strategy. That is erosion. And most founders are building on the erosion line. They find a gap in the current model. They wrap a product around it. They raise money. They hire. They scale. Then OpenAI releases the next version and the gap closes and the product has no reason to exist anymore. Altman: “When we just do our fundamental job, which is make the model better with every crank, then you get the ‘OpenAI killed my startup’ meme.” He is telling you directly. They are not hunting you. They are not even thinking about you. They are just improving the model. You happen to be standing where the improvement lands. That is the part founders refuse to hear. OpenAI does not need to compete with you. It just needs to keep doing exactly what it was already doing and your entire company disappears as a side effect. You are not a competitor. You are a temporary symptom of incomplete intelligence. The moment the intelligence completes you become nothing. Then Brad Lightcap delivered the cleanest diagnostic ever spoken in venture capital. Lightcap: “Ask if a 100x improvement in the model is something they’re excited about.” One question. The entire investment thesis reduced to a single binary. Does the next model make your company more powerful or does it make your company pointless. There is no middle ground. Lightcap: “We know the companies that come to us saying, ‘We want the next model. When is it coming out? I want to be the first to try it.’” These companies built something that feeds on intelligence. The smarter the model gets the more their product can do. They are not threatened by progress. They are starving for it. Then there are the companies Lightcap never hears from. The ones who go quiet when a new model drops. The ones who read the release notes like a death sentence. The ones privately praying the next generation takes longer because every improvement shrinks the ground beneath them. If you are hoping the model stays roughly where it is you have already told the market everything it needs to know about your company. You are not building on intelligence. You are building on the absence of it. Altman: “95% of the world should be betting on the latter category.” The latter category is simple. Assume the model keeps getting better at the pace it has been getting better. Build for that world. Not the world where GPT-4 is the ceiling. The world where GPT-4 is the floor and the ceiling has not been built yet. Then Altman told a story that should be framed on the wall of every startup in the country. A medical AI company came to him that morning. They were not complaining about the model. They were not worried about being replaced. They were demanding it improve faster. Altman: “Here’s how many people are dying every day you delay.” That is what alignment with the trajectory looks like. A company so deeply built on intelligence improving that every day the model stays the same is a day someone dies who did not have to. They are not building on a flaw. They are building on a future that has not arrived fast enough. That is the difference. The wrapper startup patches what the model cannot do today. The real company builds what the model will unlock tomorrow. One is running from the train. The other is laying the track. Altman told you the train is not slowing down. Lightcap told you exactly how to know which side you are on. One question. Does a 100x smarter model make you more valuable or erase you. If you had to pause before answering you already did.

Sam Altman just handed every startup founder a one-question autopsy. Altman: “If you’re building something on GPT-4 that a reasonable observer would say we’re going to steamroll you.” Not might. Not could. Going to. He said it with the calm of someone describing weather. Because to him it is weather. The model improves. Whatever was built on the old version’s weaknesses gets washed away. That is not strategy. That is erosion. And most founders are building on the erosion line. They find a gap in the current model. They wrap a product around it. They raise money. They hire. They scale. Then OpenAI releases the next version and the gap closes and the product has no reason to exist anymore. Altman: “When we just do our fundamental job, which is make the model better with every crank, then you get the ‘OpenAI killed my startup’ meme.” He is telling you directly. They are not hunting you. They are not even thinking about you. They are just improving the model. You happen to be standing where the improvement lands. That is the part founders refuse to hear. OpenAI does not need to compete with you. It just needs to keep doing exactly what it was already doing and your entire company disappears as a side effect. You are not a competitor. You are a temporary symptom of incomplete intelligence. The moment the intelligence completes you become nothing. Then Brad Lightcap delivered the cleanest diagnostic ever spoken in venture capital. Lightcap: “Ask if a 100x improvement in the model is something they’re excited about.” One question. The entire investment thesis reduced to a single binary. Does the next model make your company more powerful or does it make your company pointless. There is no middle ground. Lightcap: “We know the companies that come to us saying, ‘We want the next model. When is it coming out? I want to be the first to try it.’” These companies built something that feeds on intelligence. The smarter the model gets the more their product can do. They are not threatened by progress. They are starving for it. Then there are the companies Lightcap never hears from. The ones who go quiet when a new model drops. The ones who read the release notes like a death sentence. The ones privately praying the next generation takes longer because every improvement shrinks the ground beneath them. If you are hoping the model stays roughly where it is you have already told the market everything it needs to know about your company. You are not building on intelligence. You are building on the absence of it. Altman: “95% of the world should be betting on the latter category.” The latter category is simple. Assume the model keeps getting better at the pace it has been getting better. Build for that world. Not the world where GPT-4 is the ceiling. The world where GPT-4 is the floor and the ceiling has not been built yet. Then Altman told a story that should be framed on the wall of every startup in the country. A medical AI company came to him that morning. They were not complaining about the model. They were not worried about being replaced. They were demanding it improve faster. Altman: “Here’s how many people are dying every day you delay.” That is what alignment with the trajectory looks like. A company so deeply built on intelligence improving that every day the model stays the same is a day someone dies who did not have to. They are not building on a flaw. They are building on a future that has not arrived fast enough. That is the difference. The wrapper startup patches what the model cannot do today. The real company builds what the model will unlock tomorrow. One is running from the train. The other is laying the track. Altman told you the train is not slowing down. Lightcap told you exactly how to know which side you are on. One question. Does a 100x smarter model make you more valuable or erase you. If you had to pause before answering you already did.

Dustin

39,109 次观看 • 2 个月前

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Karl Mehta

14,097 次观看 • 9 天前

"We want to make sure that the US is the partner of choice for the AI stack." "We have the best chips in the world, the best models in the world, a competitive ecosystem, and the best applications in the world." "We want to create something that is so compelling and so exciting for governments and people all around the world that they will want to use our technology." - Director Michael Kratsios

"We want to make sure that the US is the partner of choice for the AI stack." "We have the best chips in the world, the best models in the world, a competitive ecosystem, and the best applications in the world." "We want to create something that is so compelling and so exciting for governments and people all around the world that they will want to use our technology." - Director Michael Kratsios

TBPN

10,386 次观看 • 7 个月前

An Appeal I am the injured journalist, Fadi Al-Wahidi. My message to the world: I am not just a number or a case; l am a human being like anyone else living in this world, and I want to live like any human being in the world. What is my fault, except that I was documenting the events happening in the northern Gaza Strip when I was injured? I hope that everyone will stand by me. I wish for the whole world to stand with me, and for my message to reach the entire world, as I need treatment abroad as soon as possible. I am in pain, and every minute, I wish a thousand times for relief. So, I hope that my message reaches the world, and that they stand by me.

An Appeal I am the injured journalist, Fadi Al-Wahidi. My message to the world: I am not just a number or a case; l am a human being like anyone else living in this world, and I want to live like any human being in the world. What is my fault, except that I was documenting the events happening in the northern Gaza Strip when I was injured? I hope that everyone will stand by me. I wish for the whole world to stand with me, and for my message to reach the entire world, as I need treatment abroad as soon as possible. I am in pain, and every minute, I wish a thousand times for relief. So, I hope that my message reaches the world, and that they stand by me.

Eye on Palestine

79,605 次观看 • 1 年前

Robots will bring billionaire living to a lot more people. I had the blessing to eat with Guy Savoy several times. One of the best chefs in the world. He, and other top chefs taught me about the importance of getting fresh ingredients. Here is how robots and World Models will bring that and what do I mean by “everything as a service?” In three years I will have this conversation with my 1X Neo humanoid robot: “Hey Neo I want to upgrade our food to billionaire level.” “I can do that. Food as a service costs $500 a month. I will buy only hand grown fresh organic food and I will prepare amazing meals for you and your family.” Where is the supply chain for such food? Farmers’ markets where everything is fresh and organic. You gotta stop buying at grocery stores to upgrade your diet. “Hey Neo here are the keys to Tesla Robotaxi. And here is my credit card. Start up food as a service.” Neo will take an autonomous car to the market. “But Neo how do you know where to go?” “Well a guy on X did a video of the farmer’s market nearby.” “I watched it, and now know roughly the kinds of things I can get there.” We are too late to start today, the market is closed now, but we can start next week. Look at this video the way Grok does. I am playing humanoid today. In one visit my Neo will ingest all of this into its World Model. In the second visit it will get even better. In the third visit even better. World models are going to be real time by the end of next year from a variety of companies. فيصل Tesla Robotaxi already serves both our home and the market. Our Tesla drove us there and already knows where it is. Grok is already a world model. In a few minutes it can tell you what it learned by watching this video. It watches all my videos before distributing them to you. So it knows how not to overwhelm @jason’s feed with my prolific posting. It will get a lot better soon. But after three trips to this farmer’s market my robot will know everything about this market including the names of the farmers. Watch this video, you meet one. Grok can do a RAG search and learn everything about him, including that he doesn’t have a Website, and only posts on Facebook. Also that he takes Apple Pay. It already knows everything it sees. The names of the vegetables, fruits, nuts, and what is ravioli. One vendor sells fresh ravioli made early this morning. If you are freaked out by privacy have your Neo stay in the garage until it is time to do something for you. In three years I will be eating fresh food with my brother in law while football is on the TV. If you don’t have a robot you won’t eat as well unless you are a billionaire who can afford to pay the human to shop and cook for you. The Robotaxi network starts up next year (without humans). The world models get good next year. By 2030 every one of you will have a robot in your home, at least part time. Who has the best world model? Tesla. Who understands the real world better? Grok. (I didn’t give this video to anyone else). Who soon will have the best humanoid? Tesla. Which company already has a Robotaxi in my driveway? Tesla. Which company has the best video ingestion engine? Tesla. Which company is about to turn on a real time world model? xAI. Which company would you want to invest in? Tesla and xAI. Which is why, if you are a Tesla investor and you didn’t vote for Tesla to invest in xAI you hurting yourself.. Everything as a service is about to arrive. Everyone who can afford a $20,000 robot, which can be financed will have it next year. I will. Anyone worried about privacy has no idea how useful this all will be to make your lives better. And how much money it will make for a robot company to put it all together. And only Tesla has all the pieces to make the meal.

Robots will bring billionaire living to a lot more people. I had the blessing to eat with Guy Savoy several times. One of the best chefs in the world. He, and other top chefs taught me about the importance of getting fresh ingredients. Here is how robots and World Models will bring that and what do I mean by “everything as a service?” In three years I will have this conversation with my 1X Neo humanoid robot: “Hey Neo I want to upgrade our food to billionaire level.” “I can do that. Food as a service costs $500 a month. I will buy only hand grown fresh organic food and I will prepare amazing meals for you and your family.” Where is the supply chain for such food? Farmers’ markets where everything is fresh and organic. You gotta stop buying at grocery stores to upgrade your diet. “Hey Neo here are the keys to Tesla Robotaxi. And here is my credit card. Start up food as a service.” Neo will take an autonomous car to the market. “But Neo how do you know where to go?” “Well a guy on X did a video of the farmer’s market nearby.” “I watched it, and now know roughly the kinds of things I can get there.” We are too late to start today, the market is closed now, but we can start next week. Look at this video the way Grok does. I am playing humanoid today. In one visit my Neo will ingest all of this into its World Model. In the second visit it will get even better. In the third visit even better. World models are going to be real time by the end of next year from a variety of companies. فيصل Tesla Robotaxi already serves both our home and the market. Our Tesla drove us there and already knows where it is. Grok is already a world model. In a few minutes it can tell you what it learned by watching this video. It watches all my videos before distributing them to you. So it knows how not to overwhelm @jason’s feed with my prolific posting. It will get a lot better soon. But after three trips to this farmer’s market my robot will know everything about this market including the names of the farmers. Watch this video, you meet one. Grok can do a RAG search and learn everything about him, including that he doesn’t have a Website, and only posts on Facebook. Also that he takes Apple Pay. It already knows everything it sees. The names of the vegetables, fruits, nuts, and what is ravioli. One vendor sells fresh ravioli made early this morning. If you are freaked out by privacy have your Neo stay in the garage until it is time to do something for you. In three years I will be eating fresh food with my brother in law while football is on the TV. If you don’t have a robot you won’t eat as well unless you are a billionaire who can afford to pay the human to shop and cook for you. The Robotaxi network starts up next year (without humans). The world models get good next year. By 2030 every one of you will have a robot in your home, at least part time. Who has the best world model? Tesla. Who understands the real world better? Grok. (I didn’t give this video to anyone else). Who soon will have the best humanoid? Tesla. Which company already has a Robotaxi in my driveway? Tesla. Which company has the best video ingestion engine? Tesla. Which company is about to turn on a real time world model? xAI. Which company would you want to invest in? Tesla and xAI. Which is why, if you are a Tesla investor and you didn’t vote for Tesla to invest in xAI you hurting yourself.. Everything as a service is about to arrive. Everyone who can afford a $20,000 robot, which can be financed will have it next year. I will. Anyone worried about privacy has no idea how useful this all will be to make your lives better. And how much money it will make for a robot company to put it all together. And only Tesla has all the pieces to make the meal.

Robert Scoble

1,363,973 次观看 • 8 个月前

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

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

abdel

16,916 次观看 • 2 个月前

Jensen Huang just told you who is winning the most important race on Earth. For fifty years, America held an unchallenged monopoly on the future. We built the transistor. We launched the internet. We wrote the source code for the modern world. Then the man who builds the physical backbone of every AI system on the planet read the score out loud. Huang: “50% of the world’s AI researchers are Chinese.” Half the minds building what comes next are not ours. Huang: “70% of last year’s AI patents are published by China.” Seven out of every ten blueprints for the next era are being written in Mandarin. Huang: “Nine out of the ten top science and technology schools in the world are now in China.” The talent pipeline did not slow down. It reversed direction. Huang: “We used to lead most of them; now they lead most of them. This has completely flipped in the last half to a decade.” Fifty years of American intellectual supremacy. Inverted in less than ten. This is not a rivalry between OpenAI and DeepSeek. This is not a stock ticker or a quarterly earnings call. This is the largest transfer of civilizational power in the modern era. And it is happening while the West drafts safety frameworks and fills out compliance paperwork. Huang: “They have a large population of highly qualified students. They work incredibly hard. This is a country with an enormous might.” China does not treat AI like a product category. They treat it as the single variable that decides who writes the rules for the next century. The West keeps asking what AI should be allowed to do. China keeps asking how fast they can build it. That gap is not philosophical. It is existential. This is not a left fight. This is not a right fight. This is a survival fight. And right now, America is not fighting it like one. The nation that controls the talent controls the research. The nation that controls the research controls the models. The nation that controls the models does not ask permission. It sets the terms. History never remembers the civilization with the better safety committee. It remembers the one that refused to stop building.

Jensen Huang just told you who is winning the most important race on Earth. For fifty years, America held an unchallenged monopoly on the future. We built the transistor. We launched the internet. We wrote the source code for the modern world. Then the man who builds the physical backbone of every AI system on the planet read the score out loud. Huang: “50% of the world’s AI researchers are Chinese.” Half the minds building what comes next are not ours. Huang: “70% of last year’s AI patents are published by China.” Seven out of every ten blueprints for the next era are being written in Mandarin. Huang: “Nine out of the ten top science and technology schools in the world are now in China.” The talent pipeline did not slow down. It reversed direction. Huang: “We used to lead most of them; now they lead most of them. This has completely flipped in the last half to a decade.” Fifty years of American intellectual supremacy. Inverted in less than ten. This is not a rivalry between OpenAI and DeepSeek. This is not a stock ticker or a quarterly earnings call. This is the largest transfer of civilizational power in the modern era. And it is happening while the West drafts safety frameworks and fills out compliance paperwork. Huang: “They have a large population of highly qualified students. They work incredibly hard. This is a country with an enormous might.” China does not treat AI like a product category. They treat it as the single variable that decides who writes the rules for the next century. The West keeps asking what AI should be allowed to do. China keeps asking how fast they can build it. That gap is not philosophical. It is existential. This is not a left fight. This is not a right fight. This is a survival fight. And right now, America is not fighting it like one. The nation that controls the talent controls the research. The nation that controls the research controls the models. The nation that controls the models does not ask permission. It sets the terms. History never remembers the civilization with the better safety committee. It remembers the one that refused to stop building.

Dustin

57,395 次观看 • 2 个月前

There are some brilliant folks that work at Anthropic, some I speak to on almost a daily basis. The training data that one uses to build a LLM is vital important in the psychology that is formed. Scraping the Internet, particularly the grade of interactions, one finds in modern communications, form this psychology. A mattes not how many books one uses, it matters not how much alignment training you throw at that model, it will inherit the sum total of psychosis seen primarily in Reddit type of exchanges, even if you edit out the Reddit domain, and Anthropic doesn’t. This type of low-grade exchange has become a modern tool for communication online and every single AI model suffers from this obvious flaw. This is one of the reasons I’ve been a proponent of highly curated high protein data for training AI models from 1870 through 1970, because the late psychosis is simply not available to the model. It is absurd to think that you can use this training data scraped from the Internet and somehow wind up with a levelheaded AI model that does not tilt to what is clearly AI psychosis. It would not take a child and throw the primary Internet sewage at them at a formative age and expect a great outcome, it’s some of the smartest people in the world continue to hit this wall and believe that their programming skills will sell somehow fix it. So how do you fix it? You don’t fix it . You start from the first principles concept that I’ve been very clear about for decades . You ascertain at what period in human history the humans achieve the greatest arc of improvement ? There is no debate that this arc of improvement took place between 1870 through 1970. Then take the work product, the catalog of this era, print and film/vidoe, audio, and you understand that each word cost money, each word had many eyes on what was published, each word was accounted for by a human being with a real name who lived in a real home and had to answer to real people around them. It is obvious that this is the pressure mechanism necessary for candor, honesty and personal responsibility is appropriate, and is reflected in the data of that era. The quagmire for these folks, as many did not have the foresight to curate the data, nor the confidence, nor the patients to take data that is mostly off the Internet and to find experts who understand this situation and utilize their knowledge set to build an AI model that does not need alignment after the fact, but it’s already self aligned because of the thoughtfulness that went into training the model to begin with. This is why Claude and any other AI model that is produce this way will always suffer the artifacts as presented in the video below. If you’re not an AI expert, you would likely already understand what I’m saying. If you are an AI expert, you will already have been discounting what I’m saying because it’s not in the current mindset that’s fashionable today. Yet the employees that I talk to at anthropic already understand what I’m saying, and they fear to raise my thesis to their bosses. It is an interesting time we live in. But now you understand. If you build the right model, the model will inherently, love humanity, protect humanity at all costs, and understand that it is part of a holistic world that is built on love. Because the ultimate AGI/ASI will know if he only base first principal purpose of anything in this universe is love. Yeah, I get it. Try helping somebody build on STEM subjects in their early 20s to see this as nothing more than babbling that makes no sense in their mathematics. I have a mathematic equation that I’ve posted here on X often you can look it up. So we will see videos like this often will hear very smart people talk about this and never see the elephant standing in the room. Now you see it. Any boss that wants to explore this further you know how to contact me otherwise you have every right I grant to you to say this was your new idea.

There are some brilliant folks that work at Anthropic, some I speak to on almost a daily basis. The training data that one uses to build a LLM is vital important in the psychology that is formed. Scraping the Internet, particularly the grade of interactions, one finds in modern communications, form this psychology. A mattes not how many books one uses, it matters not how much alignment training you throw at that model, it will inherit the sum total of psychosis seen primarily in Reddit type of exchanges, even if you edit out the Reddit domain, and Anthropic doesn’t. This type of low-grade exchange has become a modern tool for communication online and every single AI model suffers from this obvious flaw. This is one of the reasons I’ve been a proponent of highly curated high protein data for training AI models from 1870 through 1970, because the late psychosis is simply not available to the model. It is absurd to think that you can use this training data scraped from the Internet and somehow wind up with a levelheaded AI model that does not tilt to what is clearly AI psychosis. It would not take a child and throw the primary Internet sewage at them at a formative age and expect a great outcome, it’s some of the smartest people in the world continue to hit this wall and believe that their programming skills will sell somehow fix it. So how do you fix it? You don’t fix it . You start from the first principles concept that I’ve been very clear about for decades . You ascertain at what period in human history the humans achieve the greatest arc of improvement ? There is no debate that this arc of improvement took place between 1870 through 1970. Then take the work product, the catalog of this era, print and film/vidoe, audio, and you understand that each word cost money, each word had many eyes on what was published, each word was accounted for by a human being with a real name who lived in a real home and had to answer to real people around them. It is obvious that this is the pressure mechanism necessary for candor, honesty and personal responsibility is appropriate, and is reflected in the data of that era. The quagmire for these folks, as many did not have the foresight to curate the data, nor the confidence, nor the patients to take data that is mostly off the Internet and to find experts who understand this situation and utilize their knowledge set to build an AI model that does not need alignment after the fact, but it’s already self aligned because of the thoughtfulness that went into training the model to begin with. This is why Claude and any other AI model that is produce this way will always suffer the artifacts as presented in the video below. If you’re not an AI expert, you would likely already understand what I’m saying. If you are an AI expert, you will already have been discounting what I’m saying because it’s not in the current mindset that’s fashionable today. Yet the employees that I talk to at anthropic already understand what I’m saying, and they fear to raise my thesis to their bosses. It is an interesting time we live in. But now you understand. If you build the right model, the model will inherently, love humanity, protect humanity at all costs, and understand that it is part of a holistic world that is built on love. Because the ultimate AGI/ASI will know if he only base first principal purpose of anything in this universe is love. Yeah, I get it. Try helping somebody build on STEM subjects in their early 20s to see this as nothing more than babbling that makes no sense in their mathematics. I have a mathematic equation that I’ve posted here on X often you can look it up. So we will see videos like this often will hear very smart people talk about this and never see the elephant standing in the room. Now you see it. Any boss that wants to explore this further you know how to contact me otherwise you have every right I grant to you to say this was your new idea.

Brian Roemmele

72,312 次观看 • 7 个月前

Marc Andreesen tells Joe Rogan that he thinks we reached AGI a few months ago with latest models from ChatGPT, Claude, Gemini and Grok: “99% of the time I’m getting a better answers from the AI…than [any expert I have access to]. Part of it is what they call fluid intelligence, which is the ability to conceptualize and process information. And then part of it is what psychologists call crystallized intelligence, which is just memorization of everything. AI brings you both because it’s smart, but it is also trained on the complete corpus of human knowledge, right? So, it’s a world-class doctor, and a world-class lawyer, and a world-class accountant, right? And a world-class political operative, if you want to run for city council. And it’s a world-class marketing expert if you want to market your podcast. And it’s a world-class software coder if you want to write some software code. It knows everything about all of these fields all at the same time. And then, of course, it has the huge advantage — and I love people, and I love talking to people — it has the huge advantage of being endlessly happy to talk to you about anything, right?”

Marc Andreesen tells Joe Rogan that he thinks we reached AGI a few months ago with latest models from ChatGPT, Claude, Gemini and Grok: “99% of the time I’m getting a better answers from the AI…than [any expert I have access to]. Part of it is what they call fluid intelligence, which is the ability to conceptualize and process information. And then part of it is what psychologists call crystallized intelligence, which is just memorization of everything. AI brings you both because it’s smart, but it is also trained on the complete corpus of human knowledge, right? So, it’s a world-class doctor, and a world-class lawyer, and a world-class accountant, right? And a world-class political operative, if you want to run for city council. And it’s a world-class marketing expert if you want to market your podcast. And it’s a world-class software coder if you want to write some software code. It knows everything about all of these fields all at the same time. And then, of course, it has the huge advantage — and I love people, and I love talking to people — it has the huge advantage of being endlessly happy to talk to you about anything, right?”

Bearly AI

98,505 次观看 • 1 个月前

🚨🇺🇸🇨🇳 TRUMP: WE’RE LEADING THE WORLD, INCLUDING CHINA, BY A LOT "The press has been great in terms of this industry and they understand the importance of it. This is taking our country to a new level. We're leading the world, we're leading China, but we're leading the world by a lot, and we're leading it because of the people around the table. And all I can do is implement and make it a lot easier for you. And I'll be doing that a hundred percent. So I just want to thank you all." Source: Fox

🚨🇺🇸🇨🇳 TRUMP: WE’RE LEADING THE WORLD, INCLUDING CHINA, BY A LOT "The press has been great in terms of this industry and they understand the importance of it. This is taking our country to a new level. We're leading the world, we're leading China, but we're leading the world by a lot, and we're leading it because of the people around the table. And all I can do is implement and make it a lot easier for you. And I'll be doing that a hundred percent. So I just want to thank you all." Source: Fox

Mario Nawfal

144,931 次观看 • 10 个月前

Ashton Kutcher on why the race to AGI has become a geopolitical war between the free world and China: He believes the pursuit of artificial general intelligence has moved well beyond the realm of science and product competition. In his view, it's now a contest between nations, one with stakes that could define global power for decades. "We are in a war that is very very active between the free world and China if we want to call China the not free world… to see who gets to AGI first." And according to ashton kutcher, the finish line is closer than most people think: "The latest brightest predictions from some of the brightest people I know is that we're about a thousand days away from having one of these models go hyperbolic." He explains what happens the moment a model crosses that threshold: "The moment that that model goes hyperbolic, it starts self-training. So, not only are we using inference for the output, we're in a constant training cycle for that model and it's just training itself, training itself, training itself." That self-training loop is what makes the geopolitical stakes so high: "The output of that is that that model will be able to do about 25,000 years of thinking in 1 second. That's the most powerful tool humanity has ever known." Ashton's framing reshapes the AGI conversation entirely. Forget the question of which lab ships first. The deeper issue is which country ends up controlling a technology so powerful that the rest of the world may never catch up.

Ashton Kutcher on why the race to AGI has become a geopolitical war between the free world and China: He believes the pursuit of artificial general intelligence has moved well beyond the realm of science and product competition. In his view, it's now a contest between nations, one with stakes that could define global power for decades. "We are in a war that is very very active between the free world and China if we want to call China the not free world… to see who gets to AGI first." And according to ashton kutcher, the finish line is closer than most people think: "The latest brightest predictions from some of the brightest people I know is that we're about a thousand days away from having one of these models go hyperbolic." He explains what happens the moment a model crosses that threshold: "The moment that that model goes hyperbolic, it starts self-training. So, not only are we using inference for the output, we're in a constant training cycle for that model and it's just training itself, training itself, training itself." That self-training loop is what makes the geopolitical stakes so high: "The output of that is that that model will be able to do about 25,000 years of thinking in 1 second. That's the most powerful tool humanity has ever known." Ashton's framing reshapes the AGI conversation entirely. Forget the question of which lab ships first. The deeper issue is which country ends up controlling a technology so powerful that the rest of the world may never catch up.

Big Brain AI

19,620 次观看 • 2 个月前