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The uncomfortable truth in robotics: Better tech does not win. Execution does. A small French team raised $20M and deployed in 100+ factories with ZERO hardware or manufacturing background. Here is how they did it 👇 [If you build robotics, save this thread. 🧵]

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Ilir Aliu

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153,085 görüntüleme • 7 ay önce •via X (Twitter)

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Learn How To Build a Gemini-Powered Robotics Simulator in the Browser with MuJoCo WASM. MuJoCo (WebAssembly) + Three.js + Gemini ER Thanks for sharing, Omar Sanseviero! 📍Tutorial: Demo: —— if it matters in AI or Robotics you'll see it here first:
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Learn How To Build a Gemini-Powered Robotics Simulator in the Browser with MuJoCo WASM. MuJoCo (WebAssembly) + Three.js + Gemini ER Thanks for sharing, Omar Sanseviero! 📍Tutorial: Demo: —— if it matters in AI or Robotics you'll see it here first:

Ilir Aliu

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(1/8) You can't hire your way to win in robotics. Let me repeat that: YOU CANNOT HIRE YOUR WAY TO WIN IN ROBOTICS! 🧵👇
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(1/8) You can't hire your way to win in robotics. Let me repeat that: YOU CANNOT HIRE YOUR WAY TO WIN IN ROBOTICS! 🧵👇

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Did you spot any delivery robots from Coco Robotics, Robotcom, or Serve Robotics rolling around #NVIDIAGTC? 🤖 They were cruising the show floor with snacks, swag, and reminders. How many did you see?
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Did you spot any delivery robots from Coco Robotics, Robotcom, or Serve Robotics rolling around #NVIDIAGTC? 🤖 They were cruising the show floor with snacks, swag, and reminders. How many did you see?

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Robotics is obsessed with foundation models and humanoids. It’s missing the most critical piece. One founder just raised $3M to build the “AWS for robots.” Fixing the silent bottleneck for most robotics startup: Data Infrastructure: 🧵
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Robotics is obsessed with foundation models and humanoids. It’s missing the most critical piece. One founder just raised $3M to build the “AWS for robots.” Fixing the silent bottleneck for most robotics startup: Data Infrastructure: 🧵

Ilir Aliu

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Robotics is a data problem. Today, we’re partnering with ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.
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Robotics is a data problem. Today, we’re partnering with ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.

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AI in robotics gets all the attention right now, but sometimes the most interesting work is very practical. Viet built a small vision system that counts potatoes on a conveyor belt. No giant dataset. No huge model. Just a clear problem and a smart setup. He used Ultralytics’ ObjectCounter, trained a tiny YOLO11 nano model, and because there was no potato dataset, he annotated a single frame with SAM 2 and trained from that. One frame. Still works across the whole video. It is a good reminder that useful AI in industry often looks like this. Focused. Lightweight. Solves a real task. If you work in manufacturing or robotics, these small systems are usually the fastest wins. They save time, reduce errors, and do not need massive infrastructure. Nice work, Viet. His projects: —- Weekly robotics and AI insights. Subscribe free:
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AI in robotics gets all the attention right now, but sometimes the most interesting work is very practical. Viet built a small vision system that counts potatoes on a conveyor belt. No giant dataset. No huge model. Just a clear problem and a smart setup. He used Ultralytics’ ObjectCounter, trained a tiny YOLO11 nano model, and because there was no potato dataset, he annotated a single frame with SAM 2 and trained from that. One frame. Still works across the whole video. It is a good reminder that useful AI in industry often looks like this. Focused. Lightweight. Solves a real task. If you work in manufacturing or robotics, these small systems are usually the fastest wins. They save time, reduce errors, and do not need massive infrastructure. Nice work, Viet. His projects: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

1,674,814 görüntüleme • 7 ay önce

It doesn’t look like much. But this small robot from Stanford might do for robotics what the Apple II did for computing... make it personal. 🧵 [📍 Save this... you’ll want to remember his name.]
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It doesn’t look like much. But this small robot from Stanford might do for robotics what the Apple II did for computing... make it personal. 🧵 [📍 Save this... you’ll want to remember his name.]

Ilir Aliu

91,111 görüntüleme • 7 ay önce

$1,000,000,000+ raised... How can a guy from a tiny town in Illinois, with no engineering degree, be the one building the most powerful humanoid company in the world? The story makes no sense. Until it does. [Long Thread 🧵]
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$1,000,000,000+ raised... How can a guy from a tiny town in Illinois, with no engineering degree, be the one building the most powerful humanoid company in the world? The story makes no sense. Until it does. [Long Thread 🧵]

Ilir Aliu

313,752 görüntüleme • 9 ay önce

I spent a month in Shenzhen visiting factories and robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.
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I spent a month in Shenzhen visiting factories and robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.

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Once I enter a ride, the first thing I ask the driver is if he has Bluetooth🤲. And I connect my sound immediately. If he does not have, I will just tell him to turn off the music if it is something that makes me uncomfortable. Better to ride in silence than feed my spirit with polluted sounds just because I am on a ride. It does not matter how long or short the ride is.
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Once I enter a ride, the first thing I ask the driver is if he has Bluetooth🤲. And I connect my sound immediately. If he does not have, I will just tell him to turn off the music if it is something that makes me uncomfortable. Better to ride in silence than feed my spirit with polluted sounds just because I am on a ride. It does not matter how long or short the ride is.

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China is scaling humanoid robotics at an insane speed. Super realistic robots from Ex-Robots are now reportedly entering mass production 🤖 - Not prototypes. - Not lab experiments. - Actual production. The biggest shift happening in robotics isn’t just intelligence anymore. It’s making robots look and behave socially acceptable around humans. And honestly… we’re reaching the point where some people may not immediately realize they’re talking to a robot. Exciting future or uncomfortable future? Media : Ex-Robots ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.

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Robots are already sewing clothes in real factories. 🤖🧵 This isn’t sci-fi. This isn’t a prototype. This is live industrial production. The real question isn’t if this is coming… 👉 It’s what you’ll do when it hits your industry. #AI #Robotics #Automation #5G #FutureOfWork
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Is it my imagination, or does Barron look a bit uncomfortable? I wonder how much they paid her?
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Is it my imagination, or does Barron look a bit uncomfortable? I wonder how much they paid her?

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We invite you to sign The Promise of the Fremen, a commitment to build the future of AI & Robotics together, onchain. We believe in crypto, AI, Robotics, open access and responsibility. We sign this manifesto to register it for eternity. Sign with us!
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We invite you to sign The Promise of the Fremen, a commitment to build the future of AI & Robotics together, onchain. We believe in crypto, AI, Robotics, open access and responsibility. We sign this manifesto to register it for eternity. Sign with us!

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SAY IT LOUD 👇 MONEY IN THE BANK IS NOT MY MONEY. The escape route is in this thread 🧵👇

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What if you could turn a single 360° photo into a production-ready Isaac Sim environment in minutes? That's exactly what we did here. Using World Labs' Marble and an Insta360 X5 capture (rotating on top), we generated a complete navigable 3D environment and populated it with Lightwheel Sim Ready assets (bottom view). The result? A fully interactive scene in Isaac Sim, ready for sim2real testing,. Navigation, manipulation, or any robotics task you need to validate. What used to take weeks of manual 3D modeling and asset placement now takes minutes. Capture once in the real world, simulate everywhere in your training pipeline. This is the future of robotics development with world models. NVIDIA Robotics NVIDIA Omniverse #Sim2Real #Robotics #Simulation

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This is what the industry does not want you to see 👺 A bleeding and suffering milk slave 💔 Don’t even think or say this does not happen in your country ..the fHarmers in ‘civilized’ countries hide the truth from you this happens everywhere #EndAnimalSlavery #LiveVegan 🌱🙏✌️
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This is what the industry does not want you to see 👺 A bleeding and suffering milk slave 💔 Don’t even think or say this does not happen in your country ..the fHarmers in ‘civilized’ countries hide the truth from you this happens everywhere #EndAnimalSlavery #LiveVegan 🌱🙏✌️

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Edward Dowd This is not happening. Zero chance. And if it does, let's just say it won't end well for Trump or Republicans.
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Edward Dowd This is not happening. Zero chance. And if it does, let's just say it won't end well for Trump or Republicans.

Amor Avhad

11,392 görüntüleme • 7 ay önce

1/2 🧵🏛 The truth does not change. Only those who try to distort it. Plato said: The truth is the only thing that no one can change. No matter how hard they try, history has already been written in stone and not on fake papers. ➡️
0:14

1/2 🧵🏛 The truth does not change. Only those who try to distort it. Plato said: The truth is the only thing that no one can change. No matter how hard they try, history has already been written in stone and not on fake papers. ➡️

well-meaning

13,623 görüntüleme • 1 yıl önce