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Wearing a sensor-covered bodysuit that captured Bill Whitaker’s movements, engineers trained Atlas to mimic him. Once a skill is learned, it can be shared across every Atlas robot. 60 Minutes breaks down the learning process. Wearing a sensor-covered bodysuit, Bill Whitaker demonstrated movements that Atlas, a humanoid robot, then...

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60 Minutes

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16,933 просмотров • 7 месяцев назад •via X (Twitter)

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Reinforcement learning is used to speed the production of behavior for the Boston Dynamics Atlas humanoid robot. At the heart of the learning process is a physics-based simulator that generates training data for a variety of maneuvers.
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Reinforcement learning is used to speed the production of behavior for the Boston Dynamics Atlas humanoid robot. At the heart of the learning process is a physics-based simulator that generates training data for a variety of maneuvers.

RAI Institute

76,647 просмотров • 1 год назад

When 60 Minutes visited Boston Dynamics in 2021, Atlas was a bulky, hydraulic robot. Back then, it relied on algorithms written by engineers. Today, Atlas has a sleek, all-electric body and an AI-powered brain, smart enough to pull off hard-to-believe feats autonomously.
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When 60 Minutes visited Boston Dynamics in 2021, Atlas was a bulky, hydraulic robot. Back then, it relied on algorithms written by engineers. Today, Atlas has a sleek, all-electric body and an AI-powered brain, smart enough to pull off hard-to-believe feats autonomously.

60 Minutes

62,774 просмотров • 7 месяцев назад

Atlas can perform a backflip combo like a gymnast and also walk naturally across a stage. These very different movements are enabled by the whole-body learning framework developed by the RAI Institute and deployed by Boston Dynamics. We’re getting closer to robust, generalist humanoid behaviors that transfer zero-shot from simulation to physical performance:
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Atlas can perform a backflip combo like a gymnast and also walk naturally across a stage. These very different movements are enabled by the whole-body learning framework developed by the RAI Institute and deployed by Boston Dynamics. We’re getting closer to robust, generalist humanoid behaviors that transfer zero-shot from simulation to physical performance:

RAI Institute

27,395 просмотров • 6 месяцев назад

Boston Dynamics has released a new video about humanoid robot hands. "Grippers are one of the most intricate parts of a humanoid robot, packed with actuation and sensing; they need to be durable enough to handle tough jobs, but precise enough to handle fragile items. Our engineers share how the Atlas gripper has evolved as our manipulation capabilities expand and the principles that will guide future iterations."
5:04

Boston Dynamics has released a new video about humanoid robot hands. "Grippers are one of the most intricate parts of a humanoid robot, packed with actuation and sensing; they need to be durable enough to handle tough jobs, but precise enough to handle fragile items. Our engineers share how the Atlas gripper has evolved as our manipulation capabilities expand and the principles that will guide future iterations."

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230,895 просмотров • 10 месяцев назад

Canadian engineers have created a robot that is almost impossible to beat in a puck game For a year and a half, it was trained in simulations — it played thousands of virtual matches and learned to predict the puck’s trajectory, taking into account bounces off the boards and tiny surface irregularities. To do this, a separate neural network was trained specifically to calculate the physics of impacts. Now the robot reacts faster than a human and simultaneously keeps multiple possible puck movements in mind.
0:27

Canadian engineers have created a robot that is almost impossible to beat in a puck game For a year and a half, it was trained in simulations — it played thousands of virtual matches and learned to predict the puck’s trajectory, taking into account bounces off the boards and tiny surface irregularities. To do this, a separate neural network was trained specifically to calculate the physics of impacts. Now the robot reacts faster than a human and simultaneously keeps multiple possible puck movements in mind.

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179,326 просмотров • 2 месяцев назад

🤯incredible,its playability and usability are outstanding. Tron2 is a LEGO robot. It can be assembled into various forms depending on the scenario, including bipedal, wheeled, and humanoid torso configurations, and its end effectors are also interchangeable. Each form of the robot is driven by a VLA model. It can perform complex movements and can also be integrated into existing workflows to perform tasks. It's worth mentioning that this solves the problem of which type of humanoid robot to use. Each user can assemble the robot in a configuration that suits their specific scenario, making it truly flexible and versatile – it doesn't necessarily have to be bipedal or wheeled... I look forward to seeing more real-world use cases.
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🤯incredible,its playability and usability are outstanding. Tron2 is a LEGO robot. It can be assembled into various forms depending on the scenario, including bipedal, wheeled, and humanoid torso configurations, and its end effectors are also interchangeable. Each form of the robot is driven by a VLA model. It can perform complex movements and can also be integrated into existing workflows to perform tasks. It's worth mentioning that this solves the problem of which type of humanoid robot to use. Each user can assemble the robot in a configuration that suits their specific scenario, making it truly flexible and versatile – it doesn't necessarily have to be bipedal or wheeled... I look forward to seeing more real-world use cases.

CyberRobo

147,344 просмотров • 8 месяцев назад

Anthropic engineer: "The fastest way to make an agent better isn't a smarter model, it's the right loop and graph around it." In 60 minutes she breaks down how Anthropic engineers use Claude Code, build agents that catch their own mistakes and improve with every run. This beats any $500 agentic engineering course you can find. Watch it, then read the full guide on loops and graphs below.
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Anthropic engineer: "The fastest way to make an agent better isn't a smarter model, it's the right loop and graph around it." In 60 minutes she breaks down how Anthropic engineers use Claude Code, build agents that catch their own mistakes and improve with every run. This beats any $500 agentic engineering course you can find. Watch it, then read the full guide on loops and graphs below.

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From my appearance on 60 Minutes: Me: Research works. If you want to freeze society where it is, then cripple the research enterprise. Bill Whitaker of 60 Minutes: Is that whole idea being lost in the harsh rhetoric by the administration? Me: The attack on universities is a tragic blunder. For all the foibles of universities, and there are many, and I pointed them out, universities' research makes life better, massively so. Why would you want to cripple it? It's something that the United States does really, really well.
0:33

From my appearance on 60 Minutes: Me: Research works. If you want to freeze society where it is, then cripple the research enterprise. Bill Whitaker of 60 Minutes: Is that whole idea being lost in the harsh rhetoric by the administration? Me: The attack on universities is a tragic blunder. For all the foibles of universities, and there are many, and I pointed them out, universities' research makes life better, massively so. Why would you want to cripple it? It's something that the United States does really, really well.

Steven Pinker

944,525 просмотров • 9 месяцев назад

These guys trained a robot with water bottles, and the robot learned to pick up other objects it had never practiced on. They did this using reinforcement learning: 1. The robot had to pick a bottle out of a messy tote 2. Then it had to hand the bottle to a person 3. Only water bottles. Nothing else. After they finished training, they tested the robot on different objects: • On bottles, the success went from 80% to 98% • On snack cans, the robot's throughput rose 40% • On soft bags, the robot's performance improved by 13% even though they're deformable and much harder to handle than rigid objects. Snack cans and soft bags have different shapes and weights, and the robot was never trained on them. This was just one of three use cases they tested. Every hour we spend teaching a robot costs a ton of money. If they only get better at handling the one object they practice on, reinforcement learning will never be worth doing. But if the gains carry over, we could focus on teaching the hardest possible tasks and let the robot apply that knowledge elsewhere. Here is the full write-up by Humanoid on the infrastructure they used and what they learned: #ad
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These guys trained a robot with water bottles, and the robot learned to pick up other objects it had never practiced on. They did this using reinforcement learning: 1. The robot had to pick a bottle out of a messy tote 2. Then it had to hand the bottle to a person 3. Only water bottles. Nothing else. After they finished training, they tested the robot on different objects: • On bottles, the success went from 80% to 98% • On snack cans, the robot's throughput rose 40% • On soft bags, the robot's performance improved by 13% even though they're deformable and much harder to handle than rigid objects. Snack cans and soft bags have different shapes and weights, and the robot was never trained on them. This was just one of three use cases they tested. Every hour we spend teaching a robot costs a ton of money. If they only get better at handling the one object they practice on, reinforcement learning will never be worth doing. But if the gains carry over, we could focus on teaching the hardest possible tasks and let the robot apply that knowledge elsewhere. Here is the full write-up by Humanoid on the infrastructure they used and what they learned: #ad

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Every home is different. That means that to build a useful home robot, we must be able to perform zero-shot generalization on a wide range of tasks. Humanoid company 1X has a solution: world models. 1X Director of Evaluations Daniel Ho joins us on RoboPapers to talk about: - why world models are the future for scaling robot learning - how to use world models for robot control - what world models unlock for evaluating robot model performance - how we can hill-climb from here to general purpose robots Watch Episode #61 of RoboPapers, with Michael Cho - Rbt/Acc and Chris Paxton, now!
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Every home is different. That means that to build a useful home robot, we must be able to perform zero-shot generalization on a wide range of tasks. Humanoid company 1X has a solution: world models. 1X Director of Evaluations Daniel Ho joins us on RoboPapers to talk about: - why world models are the future for scaling robot learning - how to use world models for robot control - what world models unlock for evaluating robot model performance - how we can hill-climb from here to general purpose robots Watch Episode #61 of RoboPapers, with Michael Cho - Rbt/Acc and Chris Paxton, now!

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“There is no way for any American to know if a product is safe if it is ultraprocessed,” Health Secretary Robert F. Kennedy Jr. tells 60 Minutes. Sunday, Bill Whitaker reports on a decades-old loophole that Kennedy says has allowed thousands of ingredients into the U.S. food supply.
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“There is no way for any American to know if a product is safe if it is ultraprocessed,” Health Secretary Robert F. Kennedy Jr. tells 60 Minutes. Sunday, Bill Whitaker reports on a decades-old loophole that Kennedy says has allowed thousands of ingredients into the U.S. food supply.

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0:20

Humanoid robot chefs are here.👨‍🍳 Ant Group, founded by Jack Ma, and its subsidiary Lingbo Technology unveiled the Robbyant R1, a wheeled humanoid robot designed for catering services, at the Shanghai Bund Conference. Unmanned, the R1 can prepare a dish in 10 minutes. It has already learned to make 1,000 tea drinks and 10,000 dishes. The team trained a large embodied model for it. Ant Group's Alipay is already a popular platform for Chinese people. In other words, this humanoid robot will serve as a real-world extension of Alipay's virtual life services, offering a new smart living experience. Perhaps one day, when you visit Shanghai or Hangzhou, you'll be able to enjoy Chinese food cooked by the Robbyant R1.

CyberRobo

27,482 просмотров • 11 месяцев назад

“Justin Fields is a GREAT example of a guy that's a great athlete… Here we're going to give you the ball… Go win first and THEN in the process learn how to play quarterback and go show us that you're an NFL starter.” @Kurt13Warner breaks down the veteran QB:
1:08

“Justin Fields is a GREAT example of a guy that's a great athlete… Here we're going to give you the ball… Go win first and THEN in the process learn how to play quarterback and go show us that you're an NFL starter.” @Kurt13Warner breaks down the veteran QB:

Ross Tucker Podcast

21,926 просмотров • 18 дней назад

The Senate MUST have 60 votes to pass a spending bill. The Republicans only have 54 votes. It is a FACT that the Democrats have shut down the government. Only the truth will stop the lies.
2:17

The Senate MUST have 60 votes to pass a spending bill. The Republicans only have 54 votes. It is a FACT that the Democrats have shut down the government. Only the truth will stop the lies.

Alex Jones

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The coolest part of Microduck might not be the robot. It's how it learns to move. This repo shows the full reinforcement learning pipeline behind Microduck. The robot learns in simulation using MuJoCo, PPO and GPU-based training, then the trained policy is exported to ONNX and deployed on the real robot. But the real challenge is sim-to-real. The simulation models things like actuator behavior, battery voltage, command delays, friction and even gear backlash. That helps make the learned policy work when it moves from simulation to the physical robot. The repo includes policies for walking, fall recovery, sitting, standing, kicking, ground picking and even roller skating. Train in simulation. Test the behavior. Export the policy. Run it on a real robot.
1:01

The coolest part of Microduck might not be the robot. It's how it learns to move. This repo shows the full reinforcement learning pipeline behind Microduck. The robot learns in simulation using MuJoCo, PPO and GPU-based training, then the trained policy is exported to ONNX and deployed on the real robot. But the real challenge is sim-to-real. The simulation models things like actuator behavior, battery voltage, command delays, friction and even gear backlash. That helps make the learned policy work when it moves from simulation to the physical robot. The repo includes policies for walking, fall recovery, sitting, standing, kicking, ground picking and even roller skating. Train in simulation. Test the behavior. Export the policy. Run it on a real robot.

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Bill Maher: “What does the panel think of the recent shakeup at 60 Minutes? I'm for it. Good night!” Sen. Chris Murphy (D-CT): “You’re watching a censorship state be created… [Trump] is using regulatory powers to punish people who oppose him." Bill Maher: “That’s a big charge that you just made, that 60 Minutes itself and CBS itself is now completely MAGA. I don’t see it that way.” Chris Murphy: “It’s not completely MAGA.” Bill Maher: “Well, it’s kind of what you said.” Chris Murphy: “[Trump] is clearly intent on installing people who will tell his story and will keep his critics off the air.” Bill Maher: “Let me ask you this question. I watch 60 Minutes every week. I have since I was a kid. If I didn’t hear all the buzz in the media… would I ever notice that it was any different? I don’t think I would. Would you?” Chris Murphy: “Part of what the allegation is, is that they are killing stories that would be embarrassing for the president. So it’s hard to know what you’re missing in a censorship environment.” Bill Maher: “But I’ve seen ones that are not very favorable to the president… I don’t know if I would have noticed anything different if I hadn’t been reading about it. Also, I just don’t think that being a 60 Minutes correspondent is that hard. I don’t feel like Scott Pelley was a national treasure. Companies change hands all the time. I never liked him, sorry, I never did… ‘Oh my God. 60 Minutes has a new cast.’ So does Saturday Night Live.” “I’m not going to make that decision until I see a smoking g*n... ‘Tick, tick, tick, Candace Owens and Alex Jones on 60 Minutes.’”
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Bill Maher: “What does the panel think of the recent shakeup at 60 Minutes? I'm for it. Good night!” Sen. Chris Murphy (D-CT): “You’re watching a censorship state be created… [Trump] is using regulatory powers to punish people who oppose him." Bill Maher: “That’s a big charge that you just made, that 60 Minutes itself and CBS itself is now completely MAGA. I don’t see it that way.” Chris Murphy: “It’s not completely MAGA.” Bill Maher: “Well, it’s kind of what you said.” Chris Murphy: “[Trump] is clearly intent on installing people who will tell his story and will keep his critics off the air.” Bill Maher: “Let me ask you this question. I watch 60 Minutes every week. I have since I was a kid. If I didn’t hear all the buzz in the media… would I ever notice that it was any different? I don’t think I would. Would you?” Chris Murphy: “Part of what the allegation is, is that they are killing stories that would be embarrassing for the president. So it’s hard to know what you’re missing in a censorship environment.” Bill Maher: “But I’ve seen ones that are not very favorable to the president… I don’t know if I would have noticed anything different if I hadn’t been reading about it. Also, I just don’t think that being a 60 Minutes correspondent is that hard. I don’t feel like Scott Pelley was a national treasure. Companies change hands all the time. I never liked him, sorry, I never did… ‘Oh my God. 60 Minutes has a new cast.’ So does Saturday Night Live.” “I’m not going to make that decision until I see a smoking g*n... ‘Tick, tick, tick, Candace Owens and Alex Jones on 60 Minutes.’”

RedWave Press

586,154 просмотров • 2 месяцев назад

Before You Bury Anyone, Watch This! | Kenyan Law on Death Registration What happens legally after someone dies in Kenya? Lawyer Danstan Omari breaks down the laws that govern the process how a death must be reported to the local registrar within seven days, how families obtain a burial permit, and why a death certificate is required before any burial or succession process can begin.
9:41

Before You Bury Anyone, Watch This! | Kenyan Law on Death Registration What happens legally after someone dies in Kenya? Lawyer Danstan Omari breaks down the laws that govern the process how a death must be reported to the local registrar within seven days, how families obtain a burial permit, and why a death certificate is required before any burial or succession process can begin.

Court Helicopter News

73,988 просмотров • 10 месяцев назад

A humanoid robot just unloaded a dishwasher for 67 hours straight. By end of 2026, the same robot will perform surgery. That's not a prediction from a sci-fi writer. That's Brett Adcock. CEO of Figure AI. Said it on camera this month. Here's what makes this insane. Two years ago Figure's robot put a Keurig cup in a coffee maker. That was the breakthrough moment. The whole team celebrated. A coffee cup. Today that same robot runs 67 consecutive hours in a BMW factory. Grabbing packages. Finding barcodes. Placing them. One operation every second. Just a neural network that learned by watching. And Brett just said the hands that do that the same fingers, the same sensors, the same neural net are already capable of surgical precision from a hardware standpoint. "From a hardware perspective in 2026 we'll be able to do what surgeons can do." The AI just has to catch up to the hands. Two years ago: a coffee cup. This year: a factory. Next: the operating table. The robot didn't change, the learning did and it's not stopping.
1:43:47

A humanoid robot just unloaded a dishwasher for 67 hours straight. By end of 2026, the same robot will perform surgery. That's not a prediction from a sci-fi writer. That's Brett Adcock. CEO of Figure AI. Said it on camera this month. Here's what makes this insane. Two years ago Figure's robot put a Keurig cup in a coffee maker. That was the breakthrough moment. The whole team celebrated. A coffee cup. Today that same robot runs 67 consecutive hours in a BMW factory. Grabbing packages. Finding barcodes. Placing them. One operation every second. Just a neural network that learned by watching. And Brett just said the hands that do that the same fingers, the same sensors, the same neural net are already capable of surgical precision from a hardware standpoint. "From a hardware perspective in 2026 we'll be able to do what surgeons can do." The AI just has to catch up to the hands. Two years ago: a coffee cup. This year: a factory. Next: the operating table. The robot didn't change, the learning did and it's not stopping.

Shruti

47,597 просмотров • 3 месяцев назад

The Marine Band invited young musicians of color to perform—until Trump’s executive order shut it down. But they refused to be silenced. With military band veterans stepping in, they played for a nation that needed to hear them. 🎥: 60 Minutes
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The Marine Band invited young musicians of color to perform—until Trump’s executive order shut it down. But they refused to be silenced. With military band veterans stepping in, they played for a nation that needed to hear them. 🎥: 60 Minutes

Ben Crump

934,773 просмотров • 1 год назад