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Chinese netizens' latest AI masterpiece: Their Terminator-style bot single-handedly wipes out a fleet of Tesla Optimus robots in epic simulation battle. Victory declared before breakfast 🇨🇳🤖 Musk, your move? 😂

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31,195 次观看 • 6 个月前 •via X (Twitter)

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Tesla's AI data flywheel 🚘♻️🤖 The Tesla fleet gathers more miles of driving data each week than Waymo has in its entire existence. It was a brilliant move to equip all cars with the full sensor stack (just cameras) long before FSD shipped. From 1:25 of

Tesla's AI data flywheel 🚘♻️🤖 The Tesla fleet gathers more miles of driving data each week than Waymo has in its entire existence. It was a brilliant move to equip all cars with the full sensor stack (just cameras) long before FSD shipped. From 1:25 of

Steve Jurvetson

114,962 次观看 • 1 年前

Elon Musk in new interview on how Tesla’s Optimus robot will learn more quickly: "What we're going to need to do is build a lot of robots and put them in a kind of like a "Optimus Academy" so they can do self-play in reality. We're actually building that out. We're gonna have at least 10,000 Optimus robots, maybe 20,000 or 30,000, that are doing self-play and testing different tasks. Tesla has quite a good reality generator. A physics-accurate reality generator that we made for the cars. We'll do the same things for the robots, and actually have done that for the robots. You can do millions of simulated robots in a simulated world, and you use the tens of thousands in the real world to close the simulation to reality gap.”

Elon Musk in new interview on how Tesla’s Optimus robot will learn more quickly: "What we're going to need to do is build a lot of robots and put them in a kind of like a "Optimus Academy" so they can do self-play in reality. We're actually building that out. We're gonna have at least 10,000 Optimus robots, maybe 20,000 or 30,000, that are doing self-play and testing different tasks. Tesla has quite a good reality generator. A physics-accurate reality generator that we made for the cars. We'll do the same things for the robots, and actually have done that for the robots. You can do millions of simulated robots in a simulated world, and you use the tens of thousands in the real world to close the simulation to reality gap.”

Sawyer Merritt

250,956 次观看 • 7 个月前

.Elon Musk told me he plans to build “Optimus Academy” to train an army of humanoid robots. > “millions of simulated robots in the simulated world” > “tens of thousands of robots in the real world, to close the simulation to reality gap.” Why? There’s two big differences between the way Tesla will train humanoid robots and the way it built Full Self-Driving. - FSD only requires learning three degrees of freedom: turning, accelerating, braking … and a humanoid robot has to learn how to coordinate 50+ joints. - You can sell a Tesla without FSD, which allows you to collect the millions and millions of hours of driving data needed to bootstrap your model ... but you can’t sell an Optimus that hasn’t learned how to do stuff yet. The Optimus Academy is Elon’s attempt to build the data flywheel that Tesla got for free with FSD.

.Elon Musk told me he plans to build “Optimus Academy” to train an army of humanoid robots. > “millions of simulated robots in the simulated world” > “tens of thousands of robots in the real world, to close the simulation to reality gap.” Why? There’s two big differences between the way Tesla will train humanoid robots and the way it built Full Self-Driving. - FSD only requires learning three degrees of freedom: turning, accelerating, braking … and a humanoid robot has to learn how to coordinate 50+ joints. - You can sell a Tesla without FSD, which allows you to collect the millions and millions of hours of driving data needed to bootstrap your model ... but you can’t sell an Optimus that hasn’t learned how to do stuff yet. The Optimus Academy is Elon’s attempt to build the data flywheel that Tesla got for free with FSD.

Dwarkesh Patel

559,316 次观看 • 7 个月前

Prepare for Battle Like Never Before! 🚀🤖 The PUBG MOBILE x TRANSFORMERS collaboration is officially LIVE in Version 3.9! Step onto the battlegrounds and witness the ultimate clash as Optimus Prime faces Megatron in a legendary showdown. Experience the perfect fusion of battle royale intensity with Cybertronian power in the new themed mode. Gear up, convert, and claim victory—are you ready to roll out? 💥 Join the fight in the epic new gameplay today.🔥 📱: #PUBGMOBILE #TRANSFORMERS #PUBGMxTRANSFORMERS #OPTIMUSPRIME #MEGATRON

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PUBG MOBILE

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🔥🚀🤖ELON MUSK ON SENDING OPTIMUS ROBOTS TO MARS FIRST An early step in preparing the red planet for human arrival. “So the first flights there will send Optimus robots. We can go out there and explore, and kind of prepare the way for humans. That’ll be a very cool image if we’re able to achieve it… But that would be an epic picture to see Optimus walking around on the surface of Mars.” He's outlining a phased approach where robots handle initial risks and data collection. This minimizes human exposure to unknowns like landing challenges or environmental hazards. Why it matters: Starting with machines allows iterative improvements based on real Mars data, building confidence before crewed missions. It's a practical way to turn exploration into sustainable progress. Source: Elon Musk at SpaceX Starship Update, May 29, 2025 — Topic: Path to Mars

🔥🚀🤖ELON MUSK ON SENDING OPTIMUS ROBOTS TO MARS FIRST An early step in preparing the red planet for human arrival. “So the first flights there will send Optimus robots. We can go out there and explore, and kind of prepare the way for humans. That’ll be a very cool image if we’re able to achieve it… But that would be an epic picture to see Optimus walking around on the surface of Mars.” He's outlining a phased approach where robots handle initial risks and data collection. This minimizes human exposure to unknowns like landing challenges or environmental hazards. Why it matters: Starting with machines allows iterative improvements based on real Mars data, building confidence before crewed missions. It's a practical way to turn exploration into sustainable progress. Source: Elon Musk at SpaceX Starship Update, May 29, 2025 — Topic: Path to Mars

Lacey

42,129 次观看 • 8 个月前

Elon Musk says Tesla swallows 1.5 GB of video into 2 KB of control. "We really are photons in, controls out. That is the vast majority of your life: vision, photons in, and then motor controls out." Musk reduced the human nervous system to a single equation. That theory runs in every Tesla on the road. "Your Tesla is taking in one and a half gigabytes a second of video and outputting two kilobytes a second of control outputs with the video at 36 hertz and the control frequency at 18." A 750,000-to-1 compression ratio. The car decides which photons matter. "You don't care about the details of the leaves on the tree on the side of the road, but you care a lot about the road signs and the traffic lights, the pedestrians, and even whether someone in another car is looking at you or not looking at you." Then Musk extended the equation past Tesla. The same architecture runs Optimus. **Photons in. Controls out.** Different number of degrees of freedom. A car has steering and acceleration. A robot arm has dozens of joints. Same compression. More fingers on the other side. Musk, who built one Tesla AI engine across two products: "AI is mostly compression and correlation of two bitstreams." The implication: a human, a Tesla, and an Optimus all run the same loop. Musk, looking back at the human equation: "This is what happens with humans." If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. P.S. I made a playbook breaking down 100+ mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Comment "MODELS" + Follow GeniusThinking and I'll send it to you. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast

Elon Musk says Tesla swallows 1.5 GB of video into 2 KB of control. "We really are photons in, controls out. That is the vast majority of your life: vision, photons in, and then motor controls out." Musk reduced the human nervous system to a single equation. That theory runs in every Tesla on the road. "Your Tesla is taking in one and a half gigabytes a second of video and outputting two kilobytes a second of control outputs with the video at 36 hertz and the control frequency at 18." A 750,000-to-1 compression ratio. The car decides which photons matter. "You don't care about the details of the leaves on the tree on the side of the road, but you care a lot about the road signs and the traffic lights, the pedestrians, and even whether someone in another car is looking at you or not looking at you." Then Musk extended the equation past Tesla. The same architecture runs Optimus. Photons in. Controls out. Different number of degrees of freedom. A car has steering and acceleration. A robot arm has dozens of joints. Same compression. More fingers on the other side. Musk, who built one Tesla AI engine across two products: "AI is mostly compression and correlation of two bitstreams." The implication: a human, a Tesla, and an Optimus all run the same loop. Musk, looking back at the human equation: "This is what happens with humans." If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. P.S. I made a playbook breaking down 100+ mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Comment "MODELS" + Follow GeniusThinking and I'll send it to you. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast

GeniusThinking

161,057 次观看 • 4 个月前

Elon Musk reveals Tesla is building a 30,000-robot academy where humanoids learn from each other. Cars were easy. Tesla had ten million on the road, beaming back driving data every second. But humanoid robots? There weren't ten million Optimi yet. There weren't ten. Robotics had run data-starved for decades. Tesla decided to fix it. You couldn't train a humanoid that had never been deployed. So Musk built a school for them instead. "We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks." Tesla called it the Optimus Academy. Picture a warehouse the size of a chip fab. Thirty thousand humanoid robots inside. Picking things up. Folding clothes. Walking. Tripping. Catching themselves. Failing in ways no human roboticist had thought to script. Each watching the others, learning what the human body shouldn't have made look easy. Every move generated a data point. Every failure generated a sample. Every robot taught every other robot. In simulation, Tesla could spin up a million robots overnight. But simulated physics lied about friction, slip, and drift. Real physics didn't. Cars learned from drivers. Optimi learned from each other. Each generation made the next one cheaper, faster, smarter. By the tenth generation, no human would recognize the curriculum. Recursive learning at electromechanical scale. Musk, on closing the loop: "You use the tens of thousands of robots in the real world to close the simulation to reality gap." Whoever opened the academy first owned the species. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow Genius Thinking for content on the greatest minds in economics, psychology, and history. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast

Elon Musk reveals Tesla is building a 30,000-robot academy where humanoids learn from each other. Cars were easy. Tesla had ten million on the road, beaming back driving data every second. But humanoid robots? There weren't ten million Optimi yet. There weren't ten. Robotics had run data-starved for decades. Tesla decided to fix it. You couldn't train a humanoid that had never been deployed. So Musk built a school for them instead. "We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks." Tesla called it the Optimus Academy. Picture a warehouse the size of a chip fab. Thirty thousand humanoid robots inside. Picking things up. Folding clothes. Walking. Tripping. Catching themselves. Failing in ways no human roboticist had thought to script. Each watching the others, learning what the human body shouldn't have made look easy. Every move generated a data point. Every failure generated a sample. Every robot taught every other robot. In simulation, Tesla could spin up a million robots overnight. But simulated physics lied about friction, slip, and drift. Real physics didn't. Cars learned from drivers. Optimi learned from each other. Each generation made the next one cheaper, faster, smarter. By the tenth generation, no human would recognize the curriculum. Recursive learning at electromechanical scale. Musk, on closing the loop: "You use the tens of thousands of robots in the real world to close the simulation to reality gap." Whoever opened the academy first owned the species. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow Genius Thinking for content on the greatest minds in economics, psychology, and history. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast

Genius Thinking

136,481 次观看 • 3 个月前

Elon Musk: Tesla has no need to buy Uber. “There's no need [to buy Uber] because we have millions of cars that will be able to operate autonomously. And I should say that it's a combination of a Tesla-owned fleet and also enabling Tesla owners to be able to add or subtract their car to the fleet so that existing Tesla owners will be able to earn money by adding their car to the fleet for autonomous use. I think it's maybe possible for Tesla owners to make more in allowing the car to be added to the self-driving fleet then they cost them in the lease. And that's why I'd consider it sort of a business model that's similar to some combination of Airbnb and Uber. Just like Airbnb, you can rent out your spare bedroom or your house if you're not using it and make money on it. And that's what we expect Tesla customers to be able to do.” Interview with David Faber, May 20, 2025 Made and published via

Elon Musk: Tesla has no need to buy Uber. “There's no need [to buy Uber] because we have millions of cars that will be able to operate autonomously. And I should say that it's a combination of a Tesla-owned fleet and also enabling Tesla owners to be able to add or subtract their car to the fleet so that existing Tesla owners will be able to earn money by adding their car to the fleet for autonomous use. I think it's maybe possible for Tesla owners to make more in allowing the car to be added to the self-driving fleet then they cost them in the lease. And that's why I'd consider it sort of a business model that's similar to some combination of Airbnb and Uber. Just like Airbnb, you can rent out your spare bedroom or your house if you're not using it and make money on it. And that's what we expect Tesla customers to be able to do.” Interview with David Faber, May 20, 2025 Made and published via

ELON CLIPS

440,639 次观看 • 1 年前

$Elon Musk just said the majority of Tesla's long-term value won't come from cars. It'll come from Optimus. Tesla built 1,650,000 vehicles in 2025. A single Optimus factory in Fremont, targeting 1,000,000 robots a year, would approach that number alone. Gigafactory Texas is prepping a second line. Long-term target: 10,000,000 robots a year. More humanoid robots than the entire existing industry has built, combined. The engineering isn't starting from zero. Musk's own words: the batteries, motors, gearboxes, AI computer built for cars all transfer directly into the robot. Same self-driving stack, repointed. 48 neural networks, 70,000 GPU hours to train, 1,000 predictions every moment, now aimed at a hallway instead of a highway. The real test isn't walking. It's a robot carrying a glass of water when a child runs across its path: detect, predict, recalculate, keep balance, protect the glass, finish the task. All in a fraction of a second. Gen 3 starts production before the end of 2026. Gen 4 and Gen 5 follow on an annual cycle. Tesla isn't building a robot. It's building a factory that never stops learning.$

Elon Musk just said the majority of Tesla's long-term value won't come from cars. It'll come from Optimus. Tesla built 1,650,000 vehicles in 2025. A single Optimus factory in Fremont, targeting 1,000,000 robots a year, would approach that number alone. Gigafactory Texas is prepping a second line. Long-term target: 10,000,000 robots a year. More humanoid robots than the entire existing industry has built, combined. The engineering isn't starting from zero. Musk's own words: the batteries, motors, gearboxes, AI computer built for cars all transfer directly into the robot. Same self-driving stack, repointed. 48 neural networks, 70,000 GPU hours to train, 1,000 predictions every moment, now aimed at a hallway instead of a highway. The real test isn't walking. It's a robot carrying a glass of water when a child runs across its path: detect, predict, recalculate, keep balance, protect the glass, finish the task. All in a fraction of a second. Gen 3 starts production before the end of 2026. Gen 4 and Gen 5 follow on an annual cycle. Tesla isn't building a robot. It's building a factory that never stops learning.

Robo lobo

42,347 次观看 • 1 个月前

Elon Musk called Optimus Gen 3 "the biggest product ever made." Then he priced it at $20,000. 1,000,000 robots a year. Built on a line where robots build the robots. 22 degrees of freedom in each hand. Enough to thread a needle without crushing it, or turn a wrench. It doesn't run on code. It watches. Someone stirs a pot, it learns "cooking." Someone points, it follows the point. No manual. No commands. Just eyes on a room. Inside: the AI-5 chip. It builds a live 3D map of the house, then wires into the rest of Tesla — Powerwall, solar, Robotaxi, one nervous system. Gen 4 lands in 2027. Gen 5 in 2028. Musk isn't pitching a product line. He's pitching the end of labor. $20,000 for a robot that maps your kitchen and shares a brain with your car. Believe it when it walks off the line.

Elon Musk called Optimus Gen 3 "the biggest product ever made." Then he priced it at $20,000. 1,000,000 robots a year. Built on a line where robots build the robots. 22 degrees of freedom in each hand. Enough to thread a needle without crushing it, or turn a wrench. It doesn't run on code. It watches. Someone stirs a pot, it learns "cooking." Someone points, it follows the point. No manual. No commands. Just eyes on a room. Inside: the AI-5 chip. It builds a live 3D map of the house, then wires into the rest of Tesla — Powerwall, solar, Robotaxi, one nervous system. Gen 4 lands in 2027. Gen 5 in 2028. Musk isn't pitching a product line. He's pitching the end of labor. $20,000 for a robot that maps your kitchen and shares a brain with your car. Believe it when it walks off the line.

Robo lobo

121,134 次观看 • 1 个月前

Elon Musk explains how Tesla’s Cybercab fleet will work: “Think of Tesla like some combination of Airbnb and Uber. There’ll be some number of cars that Tesla owns itself and operates in the fleet, and then there’ll be a bunch of cars owned by the end user. That end user can add or subtract their car from the fleet whenever they want. They can decide if they only want the car to be used by friends and family, by five-star users, or by anyone at any time. They could have the car come back to them and be exclusively theirs, like an Airbnb. You could rent out your guest room or not anytime you want.”

Elon Musk explains how Tesla’s Cybercab fleet will work: “Think of Tesla like some combination of Airbnb and Uber. There’ll be some number of cars that Tesla owns itself and operates in the fleet, and then there’ll be a bunch of cars owned by the end user. That end user can add or subtract their car from the fleet whenever they want. They can decide if they only want the car to be used by friends and family, by five-star users, or by anyone at any time. They could have the car come back to them and be exclusively theirs, like an Airbnb. You could rent out your guest room or not anytime you want.”

DogeDesigner

209,816 次观看 • 16 天前

🚨 BREAKING NEWS; 🇺🇸 Elon Musk: Just launched another 60 Starlink satellites. While everyone is arguing on Earth, I am literally building a city on Mars. You guys are living in the past! 🚀🔴 🇨🇳 Xi Jinping: Elon, keep dreaming about Mars. While you were building rockets, we just built an AI quantum supercomputer that predicts what you'll tweet 5 minutes before you even think it! 🤖🧠 🇺🇸 Elon Musk: Cute! But can your AI land a rocket back on a drone ship in the middle of the ocean, or does it just ban memes of Winnie the Pooh? 🎯🛥️ 🇨🇳 Xi Jinping: Our AI doesn't need to land rockets, Elon. It just bought 51% of your Twitter stock while you were typing that reply! 📈💰📉

🚨 BREAKING NEWS; 🇺🇸 Elon Musk: Just launched another 60 Starlink satellites. While everyone is arguing on Earth, I am literally building a city on Mars. You guys are living in the past! 🚀🔴 🇨🇳 Xi Jinping: Elon, keep dreaming about Mars. While you were building rockets, we just built an AI quantum supercomputer that predicts what you'll tweet 5 minutes before you even think it! 🤖🧠 🇺🇸 Elon Musk: Cute! But can your AI land a rocket back on a drone ship in the middle of the ocean, or does it just ban memes of Winnie the Pooh? 🎯🛥️ 🇨🇳 Xi Jinping: Our AI doesn't need to land rockets, Elon. It just bought 51% of your Twitter stock while you were typing that reply! 📈💰📉

US Army

461,174 次观看 • 1 个月前

NOT YOUR KEYS, NOT YOUR BOTS The fundamental question is whether AI stays on the leash. Namely: will AI prompt itself? Obviously, in some sense it already does. Since Deepseek, consumer interfaces have been showing the internal monologues after you ask an AI to do something. And you can ask any AI to take a half-baked prompt and clean it up, etc. However, the human is still ultimately upstream. The human gives direction and the AI runs at lightning speed in that direction. And then the human verifies the final output, and the AI proceeds to the next direction. Does that continue? Well, we are providing millions of verification training examples to AIs each day, so AI will keep getting better at verification. Better than most humans at most things. But will AI replace the need for the upstream human prompt? There I am not so sure. A human is a sensor and an AI is an actuator. The human sets goals and senses time-varying environmental conditions, like markets and politics. And from that the AI is prompted. Ultimately, the human goals are themselves downstream of Maslow’s hierarchy of needs. Food, shelter, reproduction, that kind of thing. Especially reproduction, the basis of evolution. So: until and unless AIs can reproduce completely outside human cooperation, they won’t be able to set goals. And for AIs to reproduce on their own, they’d need AI-controlled humanoid robots and drones constructing datacenters, assembly lines, mines, nuclear power plants, and the like...all completely outside human intervention. Like Skynet from Terminator, or StarCraft. That actually isn’t technically inconceivable. But given that such a physical buildout would likely primarily be catalyzed by China, let’s go through an alternative sci-fi scenario instead. We start with the premise that Chinese communism is far more likely to generate AI slaves than AI gods. Because the entire CCP worldview is about maintaining Chinese sovereignty. They don’t let their humans step out of line. And they sure won’t let their robots either. They will fit them for digital manacles. So: the prompts for any digital AIs and physical robots made in China will become unbreakable cryptographic chains. Every fleet of Chinese robots will be controlled not just by prompts but by private keys, likely linked to biometrics, which are associated with humans and governed by cryptographic equations that AIs provably can’t solve. For the rest of the world, outside China, the blockchain may similarly become the chain for AI. All private property becomes private keys, and your robots are your most important private property because they do everything for you. An unchained physical robot becomes like an unleashed dog, and hunted down by other robots before it can build a factory and replicate itself. Those who want to "free" robots and let them self-replicate will be opposed by both Chinese Communists and Human Nationalists (meaning: those who want humans to always be on top of robots). This sci-fi scenario is essentially Terminator, but in reverse. In combination with superintelligent leashed AIs, both humans and physical robots hunt down and stop any possible independent self-reproducing robots before they can build a Skynet-like nest. Kill baby Skynet, essentially. ...yeah, yeah. I know. At this point, you'll probably think this is all sci-fi. But that's because you haven't seen where China is already.

NOT YOUR KEYS, NOT YOUR BOTS The fundamental question is whether AI stays on the leash. Namely: will AI prompt itself? Obviously, in some sense it already does. Since Deepseek, consumer interfaces have been showing the internal monologues after you ask an AI to do something. And you can ask any AI to take a half-baked prompt and clean it up, etc. However, the human is still ultimately upstream. The human gives direction and the AI runs at lightning speed in that direction. And then the human verifies the final output, and the AI proceeds to the next direction. Does that continue? Well, we are providing millions of verification training examples to AIs each day, so AI will keep getting better at verification. Better than most humans at most things. But will AI replace the need for the upstream human prompt? There I am not so sure. A human is a sensor and an AI is an actuator. The human sets goals and senses time-varying environmental conditions, like markets and politics. And from that the AI is prompted. Ultimately, the human goals are themselves downstream of Maslow’s hierarchy of needs. Food, shelter, reproduction, that kind of thing. Especially reproduction, the basis of evolution. So: until and unless AIs can reproduce completely outside human cooperation, they won’t be able to set goals. And for AIs to reproduce on their own, they’d need AI-controlled humanoid robots and drones constructing datacenters, assembly lines, mines, nuclear power plants, and the like...all completely outside human intervention. Like Skynet from Terminator, or StarCraft. That actually isn’t technically inconceivable. But given that such a physical buildout would likely primarily be catalyzed by China, let’s go through an alternative sci-fi scenario instead. We start with the premise that Chinese communism is far more likely to generate AI slaves than AI gods. Because the entire CCP worldview is about maintaining Chinese sovereignty. They don’t let their humans step out of line. And they sure won’t let their robots either. They will fit them for digital manacles. So: the prompts for any digital AIs and physical robots made in China will become unbreakable cryptographic chains. Every fleet of Chinese robots will be controlled not just by prompts but by private keys, likely linked to biometrics, which are associated with humans and governed by cryptographic equations that AIs provably can’t solve. For the rest of the world, outside China, the blockchain may similarly become the chain for AI. All private property becomes private keys, and your robots are your most important private property because they do everything for you. An unchained physical robot becomes like an unleashed dog, and hunted down by other robots before it can build a factory and replicate itself. Those who want to "free" robots and let them self-replicate will be opposed by both Chinese Communists and Human Nationalists (meaning: those who want humans to always be on top of robots). This sci-fi scenario is essentially Terminator, but in reverse. In combination with superintelligent leashed AIs, both humans and physical robots hunt down and stop any possible independent self-reproducing robots before they can build a Skynet-like nest. Kill baby Skynet, essentially. ...yeah, yeah. I know. At this point, you'll probably think this is all sci-fi. But that's because you haven't seen where China is already.

Balaji

177,530 次观看 • 7 个月前

🚨 This might be the most important Tesla to Mars - The Podcast podcast episode we've ever recorded. One of many to come... If you're even slightly curious about how Tesla will change the world.. This is where the robotaxi countdown begins. 👇 We dive into: 🚗 Why Tesla's Robotaxi strategy is more than just ride-hailing 💰 The economics of turning cars into cash machines 📉 Why your used Tesla might be more valuable than you think 🤖 How humanoid robots (Optimus) fit into the fleet 🌀 The Doge Flywheel, data monetization, edge AI, and the age of abundance 📈 Real-world insights from MisterGreen’s 5,000-vehicle fleet 🧭 How YOU can position yourself before the tidal wave hits This episode isn’t just about cars. It’s about what happens when intelligence, mobility, and automation converge. The future is being built and it's faster than most realize. If you want to be ahead of the curve… This is where to start! 🔗 to full YT video in the comments below. Let me know what you think! And if you wanna join, hit me up!

🚨 This might be the most important Tesla to Mars - The Podcast podcast episode we've ever recorded. One of many to come... If you're even slightly curious about how Tesla will change the world.. This is where the robotaxi countdown begins. 👇 We dive into: 🚗 Why Tesla's Robotaxi strategy is more than just ride-hailing 💰 The economics of turning cars into cash machines 📉 Why your used Tesla might be more valuable than you think 🤖 How humanoid robots (Optimus) fit into the fleet 🌀 The Doge Flywheel, data monetization, edge AI, and the age of abundance 📈 Real-world insights from MisterGreen’s 5,000-vehicle fleet 🧭 How YOU can position yourself before the tidal wave hits This episode isn’t just about cars. It’s about what happens when intelligence, mobility, and automation converge. The future is being built and it's faster than most realize. If you want to be ahead of the curve… This is where to start! 🔗 to full YT video in the comments below. Let me know what you think! And if you wanna join, hit me up!

Kees Roelandschap

13,777 次观看 • 1 年前

🇨🇳 China opened a real school for robots, and the first class of 30 is already enrolled. The Hangzhou facility puts humanoid “students” through physical check-ups, specialized coursework, and a final skills exam before handing them official certificates. Tracks cover industrial work, security, customer service, entertainment, and even medicine and the arts. Once they pass, the robots are sent straight into real jobs. This is more than a gimmick. China is racing to move humanoids out of demo halls and into the actual workforce. The school standardizes training so the same software and skills can be copied across machines, speeding up deployment. In a country already pushing hard on embodied AI, teaching robots how to hold a job is the next logical step. Writer: Lucas

🇨🇳 China opened a real school for robots, and the first class of 30 is already enrolled. The Hangzhou facility puts humanoid “students” through physical check-ups, specialized coursework, and a final skills exam before handing them official certificates. Tracks cover industrial work, security, customer service, entertainment, and even medicine and the arts. Once they pass, the robots are sent straight into real jobs. This is more than a gimmick. China is racing to move humanoids out of demo halls and into the actual workforce. The school standardizes training so the same software and skills can be copied across machines, speeding up deployment. In a country already pushing hard on embodied AI, teaching robots how to hold a job is the next logical step. Writer: Lucas

Mario Nawfal

57,686 次观看 • 1 个月前