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NVIDIA just gave every robotics beginner a cheat code. You don’t need expensive hardware. You don’t need to burn motors. You don’t need to break prototypes. You can skip all of that. Because you can build the entire robot… virtually. With Isaac Sim, you design everything in simulation: Chassis....

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Nainsi Dwivedi

21,405 subscribers

26,312 次观看 • 4 个月前 •via X (Twitter)

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Rob Gronkowski says NFL rookies shouldn’t waste their money on $200K cars “Just don’t go all in, just because you have it.” “You don’t need the $200,000 car if you’re a rookie. You just need to get that $60,000 car.” “You start getting on that train right away and buying everything, all the jewelry, all the cars… then guess what? You’re going to want to live that life your whole entire time.” “Just spend in your means, and you don’t got to go overboard.” “Just put it away, ’cause you never know when the NFL is going to be done with.” “Even if you put 2 million away, you’re set.” Ft: Rob Gronkowski x 4th and South
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Rob Gronkowski says NFL rookies shouldn’t waste their money on $200K cars “Just don’t go all in, just because you have it.” “You don’t need the $200,000 car if you’re a rookie. You just need to get that $60,000 car.” “You start getting on that train right away and buying everything, all the jewelry, all the cars… then guess what? You’re going to want to live that life your whole entire time.” “Just spend in your means, and you don’t got to go overboard.” “Just put it away, ’cause you never know when the NFL is going to be done with.” “Even if you put 2 million away, you’re set.” Ft: Rob Gronkowski x 4th and South

Ruzy.hl

39,934 次观看 • 1 个月前

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:
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Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

42,864 次观看 • 7 个月前

Made this video using Global Solana Faces on Usuals AI with a simple prompt. I actually found this AI tool through Superteam Indonesia and that's kind of the whole point. Superteam isn’t just another Solana builder community. It’s a space that gives you access to tools, people, and opportunities you probably wouldn’t find on your own. If you’re trying to grow as a builder but don’t have the technical background, network, or even the confidence yet that’s exactly where Superteam fills the gap. You don’t need to arrive ready. You just need to start.
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Made this video using Global Solana Faces on Usuals AI with a simple prompt. I actually found this AI tool through Superteam Indonesia and that's kind of the whole point. Superteam isn’t just another Solana builder community. It’s a space that gives you access to tools, people, and opportunities you probably wouldn’t find on your own. If you’re trying to grow as a builder but don’t have the technical background, network, or even the confidence yet that’s exactly where Superteam fills the gap. You don’t need to arrive ready. You just need to start.

Raniii 🔥

10,459 次观看 • 2 个月前

15–30 minutes of real-world robot data. That's now enough to go from sim-to-real failure to working robot. Let’s see… You train a robot in simulation. You deploy it in the real world. It fails. The physics don't match. So you try to fine-tune it with real data, but… you never have enough real data, and the fine-tuning breaks everything the simulation taught it. SimDist fixes this with one key decision: don't transfer the policy. Transfer the world model. Keep the reward and value knowledge from simulation frozen. Only update the part that's actually wrong, how the robot predicts physics. Now the robot doesn't have to relearn the entire task in the real world. It already knows what success looks like. It just needs to correct its understanding of how the real world moves. The part that makes this work: they also trained on failures and recoveries; not just perfect demonstrations. Without that, the planner finds the gaps and exploits them. With it, the robot can tell a good future from a bad one. That's all it needs. Results on peg insertion, table leg assembly, locomotion on slippery and uneven surfaces. Tasks that require precision, force, and quick reaction. Thanks for sharing, Tyler Westenbroek ([Tyler Westenbroek]. Interactive visualization + paper: ——- Weekly robotics and AI insights. Subscribe free:
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15–30 minutes of real-world robot data. That's now enough to go from sim-to-real failure to working robot. Let’s see… You train a robot in simulation. You deploy it in the real world. It fails. The physics don't match. So you try to fine-tune it with real data, but… you never have enough real data, and the fine-tuning breaks everything the simulation taught it. SimDist fixes this with one key decision: don't transfer the policy. Transfer the world model. Keep the reward and value knowledge from simulation frozen. Only update the part that's actually wrong, how the robot predicts physics. Now the robot doesn't have to relearn the entire task in the real world. It already knows what success looks like. It just needs to correct its understanding of how the real world moves. The part that makes this work: they also trained on failures and recoveries; not just perfect demonstrations. Without that, the planner finds the gaps and exploits them. With it, the robot can tell a good future from a bad one. That's all it needs. Results on peg insertion, table leg assembly, locomotion on slippery and uneven surfaces. Tasks that require precision, force, and quick reaction. Thanks for sharing, Tyler Westenbroek ([Tyler Westenbroek]. Interactive visualization + paper: ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

14,222 次观看 • 4 个月前

I don’t believe in one-size-fits-all plans. I meet you where you are, push you where you need to go, and help you build a routine that actually fits your life. No quick fixes, no extremes, just real, lasting results. If you’re ready to stop starting over, let’s do this together.
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I don’t believe in one-size-fits-all plans. I meet you where you are, push you where you need to go, and help you build a routine that actually fits your life. No quick fixes, no extremes, just real, lasting results. If you’re ready to stop starting over, let’s do this together.

Ida Bergfoth

19,838 次观看 • 1 年前

Imagine controlling a real robot from your home… no money, no experience needed. Sounds crazy, right? But it’s already possible. BitRobot 🦾 is building the world’s first open robotics lab powered by crypto incentives. Instead of one company doing everything, it connects people from all over the world to work together on real robotics and AI tasks. The network is made up of specialized subnets, each focused on different missions from collecting real-world data with robots to developing humanoid robots for everyday use. What makes it powerful? It uses crypto rewards to coordinate global resources like compute power, robot fleets, teleoperation time, and even human effort. This allows BitRobot to scale much faster than traditional labs. Now here’s the best part 👇 The easiest way to get involved right now is through TeleArms. You don’t need: – a robot – engineering skills – or any investment – Hardware All you need is a laptop and an internet connection. From your home, you can remotely control a real robotic arm inside BitRobot’s lab using your keyboard or mouse to pick up, move, and place objects. Every action you take helps generate real-world data that trains the next generation of AI to perform useful physical tasks. So you’re not just playing with a robot… You’re actually helping build the future of AI. I’ve been talking about BitRobot for a while, and now TeleArms is live! You can control a real robotic arm from home, but it’s in a private beta with limited access. I’m now an ambassador for BitRobot Network. I’m giving 4 exclusive access codes to my community so they can experience it too. A lot of people want to experience this, but since it’s limited, I decided to do a random giveaway. To participate in this giveaway : 1. Join the BitRobot Network Discord (Link in comments) 2. Come back to this post and comment below, explaining why you want to join TeleArms and how you plan to contribute. Note : Winner will be announced in the last 7 days. Once you do that, you’ll be in the running for one of the codes! Good luck, and I can’t wait to see your ideas!
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Imagine controlling a real robot from your home… no money, no experience needed. Sounds crazy, right? But it’s already possible. BitRobot 🦾 is building the world’s first open robotics lab powered by crypto incentives. Instead of one company doing everything, it connects people from all over the world to work together on real robotics and AI tasks. The network is made up of specialized subnets, each focused on different missions from collecting real-world data with robots to developing humanoid robots for everyday use. What makes it powerful? It uses crypto rewards to coordinate global resources like compute power, robot fleets, teleoperation time, and even human effort. This allows BitRobot to scale much faster than traditional labs. Now here’s the best part 👇 The easiest way to get involved right now is through TeleArms. You don’t need: – a robot – engineering skills – or any investment – Hardware All you need is a laptop and an internet connection. From your home, you can remotely control a real robotic arm inside BitRobot’s lab using your keyboard or mouse to pick up, move, and place objects. Every action you take helps generate real-world data that trains the next generation of AI to perform useful physical tasks. So you’re not just playing with a robot… You’re actually helping build the future of AI. I’ve been talking about BitRobot for a while, and now TeleArms is live! You can control a real robotic arm from home, but it’s in a private beta with limited access. I’m now an ambassador for BitRobot Network. I’m giving 4 exclusive access codes to my community so they can experience it too. A lot of people want to experience this, but since it’s limited, I decided to do a random giveaway. To participate in this giveaway : 1. Join the BitRobot Network Discord (Link in comments) 2. Come back to this post and comment below, explaining why you want to join TeleArms and how you plan to contribute. Note : Winner will be announced in the last 7 days. Once you do that, you’ll be in the running for one of the codes! Good luck, and I can’t wait to see your ideas!

Apurba.Eth

36,318 次观看 • 5 个月前

.gabriel on learning without a map: When you’re not surrounded by startup culture, everything feels impossible. If everyone around you talks about startups, it feels obvious. What can change everything is getting into the market as fast as possible. Solving real problems. Having accountability. And now, with ChatGPT, you don’t even need to know everything upfront. You just need to prove you’re high-agency, that you can ask the right questions, learn fast, and build. Show creativity. Show initiative. Show you can extract information. The rest? figure it out while building.
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.gabriel on learning without a map: When you’re not surrounded by startup culture, everything feels impossible. If everyone around you talks about startups, it feels obvious. What can change everything is getting into the market as fast as possible. Solving real problems. Having accountability. And now, with ChatGPT, you don’t even need to know everything upfront. You just need to prove you’re high-agency, that you can ask the right questions, learn fast, and build. Show creativity. Show initiative. Show you can extract information. The rest? figure it out while building.

Extraordinary

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NVIDIA CEO Jensen Huang said this 22 years ago: “I don’t need to change the world overnight. I’m going to change the world over the next 50 years. I don’t need to build a killer product overnight. I just need to build a winning product. And the goal of winning is so that you can play again. It’s just like pinball, OK? If you could just play well enough to get another game, you could be there for a long time. Most companies just need to realize that, in fact, this is a long road and that you can’t build that perfect product. So once you do that, then you keep the project’s scope confined. You keep the project now simple. You have a long-term vision, but your product definition is rather simple. You execute flawlessly on that because your people now can execute flawlessly on a simple plan, and you come back and do it again.”
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NVIDIA CEO Jensen Huang said this 22 years ago: “I don’t need to change the world overnight. I’m going to change the world over the next 50 years. I don’t need to build a killer product overnight. I just need to build a winning product. And the goal of winning is so that you can play again. It’s just like pinball, OK? If you could just play well enough to get another game, you could be there for a long time. Most companies just need to realize that, in fact, this is a long road and that you can’t build that perfect product. So once you do that, then you keep the project’s scope confined. You keep the project now simple. You have a long-term vision, but your product definition is rather simple. You execute flawlessly on that because your people now can execute flawlessly on a simple plan, and you come back and do it again.”

Nic Cruz Patane

375,804 次观看 • 9 个月前

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Qullamaggie on Catching Sector Rotation “How to catch sector rotation in bull markets. Just follow the setups. You don’t have to worry that much about it. Just follow the setups, follow your sell rules. You know you’re gonna catch those rotations. No need to overthink it. All you really have to do is focus on good setups. Everything else is gonna take care of itself. You don’t need to know what’s going on in the world. You don’t need to know what Trump’s doing. You don’t need to know what China’s doing. You don’t need to know the planetary movements. You really don’t need to know much. What you need to have if you want to get rich in the trading, you need to have focus and you need to focus on the right things. Exactly. You need to know the earth is flat because of science.”

Lone

15,709 次观看 • 6 个月前

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”
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We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”

TBPN

18,811 次观看 • 1 年前

This one is hard to admit. But a lot of you already feel it. You don’t trust yourself anymore. Not fully. Because you’ve made promises … and broken them. You’ve told yourself “this is the last time”… and repeated the same pattern. You’ve tried to change. You deleted accounts, content, and entire folders… but nothing really sticks. So now there’s a quiet voice in the back of your mind that says: “Can I actually rely on myself?” That’s the real damage. Not the behavior. The loss of self-trust. And the truth is: You don’t rebuild self-trust by thinking harder. Or feeling more dread and guilt. You rebuild it through evidence. Small wins. Repeated actions. Following through. Seeing yourself show up differently. That’s what changes you. That’s why the 14-Day Self-Command Reset works. It gives you structure so you can finally stop guessing and start proving to yourself that you’re capable of more. Because once you trust yourself again… everything changes.
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This one is hard to admit. But a lot of you already feel it. You don’t trust yourself anymore. Not fully. Because you’ve made promises … and broken them. You’ve told yourself “this is the last time”… and repeated the same pattern. You’ve tried to change. You deleted accounts, content, and entire folders… but nothing really sticks. So now there’s a quiet voice in the back of your mind that says: “Can I actually rely on myself?” That’s the real damage. Not the behavior. The loss of self-trust. And the truth is: You don’t rebuild self-trust by thinking harder. Or feeling more dread and guilt. You rebuild it through evidence. Small wins. Repeated actions. Following through. Seeing yourself show up differently. That’s what changes you. That’s why the 14-Day Self-Command Reset works. It gives you structure so you can finally stop guessing and start proving to yourself that you’re capable of more. Because once you trust yourself again… everything changes.

Command Within | Build Self-Command

106,631 次观看 • 5 个月前

TJR reveals you can double your money just by living in Puerto Rico instead of the US “You can literally make 2x your money because you don’t have to pay taxes on the money you’re making. You pay like 4%, and then you’re making double the income, which lets you invest double the amount” “Then you don’t have to pay any taxes on your investments, so you get a double return on the investments that you’re already putting double the amount into. It’s like squaring your money”
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TJR reveals you can double your money just by living in Puerto Rico instead of the US “You can literally make 2x your money because you don’t have to pay taxes on the money you’re making. You pay like 4%, and then you’re making double the income, which lets you invest double the amount” “Then you don’t have to pay any taxes on your investments, so you get a double return on the investments that you’re already putting double the amount into. It’s like squaring your money”

Mikli

145,486 次观看 • 6 个月前

If you’re wondering how easy it was to find the wallet with just a few positions and without any entry prices etc. It is that easy with Hyperview Just use the larp detector and click on the multi-market button. Then add all the markets you know the wallet has positions on (you can even add more details like leverage, entry price, etc.), but for a wallet that has that many positions, as you can see, you don’t even need to. 2 wallets matched the positions I searched for and as you can see, the second one has way way more positions, so it can only be the first one. 17s to find the wallet, you don’t need to be ZachXBT. Just use Hyperview lil bro ✌🏻 You can download the ealy access on iOS or MacOS on with the link below :
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If you’re wondering how easy it was to find the wallet with just a few positions and without any entry prices etc. It is that easy with Hyperview Just use the larp detector and click on the multi-market button. Then add all the markets you know the wallet has positions on (you can even add more details like leverage, entry price, etc.), but for a wallet that has that many positions, as you can see, you don’t even need to. 2 wallets matched the positions I searched for and as you can see, the second one has way way more positions, so it can only be the first one. 17s to find the wallet, you don’t need to be ZachXBT. Just use Hyperview lil bro ✌🏻 You can download the ealy access on iOS or MacOS on with the link below :

Alex

50,259 次观看 • 3 个月前

How do YOU know if you’re pushing/pulling putts or if they’re just breaking? This is like $20, it’s half the size of a phone, it’s perfectly straight, there’s a level in there if you need to find a straight putt, and you don’t have to chalk line the green.
0:30

How do YOU know if you’re pushing/pulling putts or if they’re just breaking? This is like $20, it’s half the size of a phone, it’s perfectly straight, there’s a level in there if you need to find a straight putt, and you don’t have to chalk line the green.

MM🇺🇸

802,417 次观看 • 3 个月前

Evaluating robot policies is hard. Ideally, instead of testing every new policy on a real robot, you could test in simulation; but simulations rarely correlate well with real-world performance. In order to make good, useful simulations, you need to spend a great deal of time and effort. That’s where PolaRiS comes in: it’s a toolkit that lets you take a short video of a real scene and turn it into a high-fidelity simulation. It provides what you need to build a good evaluation environment, and it “ships” with off-the-shelf environments that already show strong sim-to-real correlation, meaning that they can be used to inform policy performance. Arhan Jain and Karl Pertsch join us to talk about what they have built, why, and how you can use it. Watch Episode #62 of RoboPapers, with Chris Paxton and Jiafei Duan, now!
59:36

Evaluating robot policies is hard. Ideally, instead of testing every new policy on a real robot, you could test in simulation; but simulations rarely correlate well with real-world performance. In order to make good, useful simulations, you need to spend a great deal of time and effort. That’s where PolaRiS comes in: it’s a toolkit that lets you take a short video of a real scene and turn it into a high-fidelity simulation. It provides what you need to build a good evaluation environment, and it “ships” with off-the-shelf environments that already show strong sim-to-real correlation, meaning that they can be used to inform policy performance. Arhan Jain and Karl Pertsch join us to talk about what they have built, why, and how you can use it. Watch Episode #62 of RoboPapers, with Chris Paxton and Jiafei Duan, now!

RoboPapers

14,689 次观看 • 7 个月前

Listen only you can create your own purpose. Don’t live trying to impress people or fit in — that shit will eat you alive. You’ll never feel peace inside if you’re not being real with yourself. I need you to understand this: you were never meant to be like everybody else. You’re unique for a reason. Your pain, your story, your energy — it all matters. So stop hiding who you are. Start loving who you are. That’s where your real power begins. 82/252
1:01

Listen only you can create your own purpose. Don’t live trying to impress people or fit in — that shit will eat you alive. You’ll never feel peace inside if you’re not being real with yourself. I need you to understand this: you were never meant to be like everybody else. You’re unique for a reason. Your pain, your story, your energy — it all matters. So stop hiding who you are. Start loving who you are. That’s where your real power begins. 82/252

𖣂Prince𖣂

135,795 次观看 • 1 年前

Every Home Will Have a Humanoid Robot in 10 Years? “You say in ten years every home will have a humanoid. Almost like the matrix where you get plugged into a system. You’re going to robot in a box — you open up a robot, get out. The robot will semantically learn your preferences. It could just be a nanny, housekeeper, gardener. It’s the Jetsons. Like, all this will be a choice. It will actually get to know you. It needs to know who you are.” Brett Adcock Figure
15:17

Every Home Will Have a Humanoid Robot in 10 Years? “You say in ten years every home will have a humanoid. Almost like the matrix where you get plugged into a system. You’re going to robot in a box — you open up a robot, get out. The robot will semantically learn your preferences. It could just be a nanny, housekeeper, gardener. It’s the Jetsons. Like, all this will be a choice. It will actually get to know you. It needs to know who you are.” Brett Adcock Figure

Shawn Ryan

190,336 次观看 • 5 个月前