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Come ship with us as we deploy robots faster than ever before possible. Ultra is hiring across engineering, manufacturing, and operations: — Senior Machine Learning Engineer — Application Engineer — Senior Mechatronics Engineer – R&D — Senior Mechatronics Engineer – Robot Platform — Supply Chain/Manufacturing Engineer — Robot Assembly...

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Ultra

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We're hiring! We've got roles open for: /Software Engineer, Growth /Software Engineer, Product /Design Engineer /Senior Software Engineer, Payments /Senior Software Engineer, Identity & Access /Senior Software Engineer, Product /Senior Software Engineer, Developer Platform /Sales Development Representative /Account Executive /Tax Operations Specialist /Customer Experience Specialist /Account Manager /Customer Activations Manager /Senior Customer Experience Manager /Head of Finance /Controller /Head of Demand Generation /Product Marketing Manager /Business Operations /Senior Technical Recruiter We're a small team taking on billion dollar incumbents, building the most powerful employee management platform for ambitious companies. If you want to move fast and ship constantly, you'll be in the right place. Take it from us: we love working here
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We're hiring! We've got roles open for: /Software Engineer, Growth /Software Engineer, Product /Design Engineer /Senior Software Engineer, Payments /Senior Software Engineer, Identity & Access /Senior Software Engineer, Product /Senior Software Engineer, Developer Platform /Sales Development Representative /Account Executive /Tax Operations Specialist /Customer Experience Specialist /Account Manager /Customer Activations Manager /Senior Customer Experience Manager /Head of Finance /Controller /Head of Demand Generation /Product Marketing Manager /Business Operations /Senior Technical Recruiter We're a small team taking on billion dollar incumbents, building the most powerful employee management platform for ambitious companies. If you want to move fast and ship constantly, you'll be in the right place. Take it from us: we love working here

Warp

11,231 Aufrufe • vor 1 Monat

HUMANOID ROBOTS ARE AMAZING. BUT WHERE IS THE ROI? Watching a humanoid robot work at BMW is genuinely impressive. As an engineer, I love it. But I also can’t ignore one question. For this task, why not use a 6-axis robot on a linear axis? It would likely be: * Faster. * More precise. * More stable. * Much cheaper. So why the humanoid? Because BMW isn’t optimizing this task. They’re training Physical AI. Every successful grasp, every failure, every unexpected situation becomes data that teaches robots to handle the real world. That’s the real investment. The demo is impressive. The business case? I’m not convinced… yet. Are we looking at the future of manufacturing—or the world’s most expensive AI training program? Best regards Ulrich #HumanoidRobots #PhysicalAI #Robotics #Automation #Manufacturing #Engineering #AI #IndustrialAutomation
0:32

HUMANOID ROBOTS ARE AMAZING. BUT WHERE IS THE ROI? Watching a humanoid robot work at BMW is genuinely impressive. As an engineer, I love it. But I also can’t ignore one question. For this task, why not use a 6-axis robot on a linear axis? It would likely be: * Faster. * More precise. * More stable. * Much cheaper. So why the humanoid? Because BMW isn’t optimizing this task. They’re training Physical AI. Every successful grasp, every failure, every unexpected situation becomes data that teaches robots to handle the real world. That’s the real investment. The demo is impressive. The business case? I’m not convinced… yet. Are we looking at the future of manufacturing—or the world’s most expensive AI training program? Best regards Ulrich #HumanoidRobots #PhysicalAI #Robotics #Automation #Manufacturing #Engineering #AI #IndustrialAutomation

Advanced humanoid forum

11,496 Aufrufe • vor 1 Monat

Sam Altman says he’s excited about a future where signing up for ChatGPT’s highest tier gets you a free humanoid robot. ⦿ The mechanical engineering and AI for humanoids are quite hard but feel within grasp. ⦿ Making a billion humanoid robots will take a while; maybe the first million humanoid robots, built the old-fashioned way, will automate the entire robotics supply chain to enable faster scale. ⦿ The demand for humanoids will be far more than what we can handle with current supply chains. ⦿ Things we've tried to bring manufacturing back to the US have failed. AI & robotics is a potential solution.
2:07

Sam Altman says he’s excited about a future where signing up for ChatGPT’s highest tier gets you a free humanoid robot. ⦿ The mechanical engineering and AI for humanoids are quite hard but feel within grasp. ⦿ Making a billion humanoid robots will take a while; maybe the first million humanoid robots, built the old-fashioned way, will automate the entire robotics supply chain to enable faster scale. ⦿ The demand for humanoids will be far more than what we can handle with current supply chains. ⦿ Things we've tried to bring manufacturing back to the US have failed. AI & robotics is a potential solution.

The Humanoid Hub

82,099 Aufrufe • vor 1 Jahr

.Amjad Masad : Creating software is going to be one of the most exciting areas. The average person will soon be as capable as what a senior software engineer is today, as we shift from doing the work to directing it. Instead of coding line by line, you’ll run multiple agents in parallel, building the frontend, refactoring the database, shipping features, all in the background. On top of that, you’ll have a clean interface to design and interact with AI more creatively. Software creation is moving from execution to orchestration, and soon, it won’t be a specialised skill, it’ll be the baseline.
0:47

.Amjad Masad : Creating software is going to be one of the most exciting areas. The average person will soon be as capable as what a senior software engineer is today, as we shift from doing the work to directing it. Instead of coding line by line, you’ll run multiple agents in parallel, building the frontend, refactoring the database, shipping features, all in the background. On top of that, you’ll have a clean interface to design and interact with AI more creatively. Software creation is moving from execution to orchestration, and soon, it won’t be a specialised skill, it’ll be the baseline.

Extraordinary

19,743 Aufrufe • vor 5 Monaten

Most engineering jobs teach you to manage things. We're hiring people who want to build them. At Naxatra Labs, we're 5 years deep into building India's electric motors from scratch. Not sourcing. Not assembling. Designing, testing, and manufacturing - inhouse. It's not glamorous every day. It's noisy. It's hands-on. Sometimes things break. That's the point. If you're an engineer who's spent more time in meetings than in the lab — this is your way out. We're looking for engineers, interns, R&D associates, and marketing associates who want to work on things that actually matter: motors for EVs, agriculture, and industry. Small team. Real problems. No bureaucracy. 📧 careers@naxatralabs.com #NaxatraLabs #WeAreHiring #DeepTech #MadeInIndia
1:36

Most engineering jobs teach you to manage things. We're hiring people who want to build them. At Naxatra Labs, we're 5 years deep into building India's electric motors from scratch. Not sourcing. Not assembling. Designing, testing, and manufacturing - inhouse. It's not glamorous every day. It's noisy. It's hands-on. Sometimes things break. That's the point. If you're an engineer who's spent more time in meetings than in the lab — this is your way out. We're looking for engineers, interns, R&D associates, and marketing associates who want to work on things that actually matter: motors for EVs, agriculture, and industry. Small team. Real problems. No bureaucracy. 📧 [email protected] #NaxatraLabs #WeAreHiring #DeepTech #MadeInIndia

Abhilash

15,857 Aufrufe • vor 4 Monaten

🤝 Join QANplatform as Senior Developer Relations Engineer (DevRel) We're hiring a Developer Relations Engineer who speaks fluent code, content, and community. Ready to shape the future of Web3? At QANplatform, we're building the quantum-resistant hybrid blockchain designed for the next generation of secure, scalable applications, putting developers first with multi-language smart contract support and built-in developer royalty fees. 👀 We’re looking for someone who can help developers: - Discover and understand our platform - Adopt our tools and SDKs - Build incredible, world-changing projects on QANplatform 🖥️ What you’ll do As a Senior Developer Relations Engineer, you’ll be the bridge between our engineering team and the wider developer ecosystem. You will: - Translate complex technology into actionable insights - Champion developer needs within the organization - Build meaningful relationships with the community - Write sample code, tutorials, and blogs - Run hackathons, deliver workshops, and host live SDK demos - Be the voice of developers internally — and our public voice to the community externally 🦄 Why this role is different This isn’t a traditional DevRel position. You’ll move fluidly between: - Writing and reviewing code - Creating technical and educational content - Engaging developers through events, demos, and collaboration Ready to make an impact? If you’re excited about bridging the gap between developers and next-generation blockchain technology, we’d love to hear from you. Apply now and let’s build something extraordinary together. Fill in this form to apply:
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🤝 Join QANplatform as Senior Developer Relations Engineer (DevRel) We're hiring a Developer Relations Engineer who speaks fluent code, content, and community. Ready to shape the future of Web3? At QANplatform, we're building the quantum-resistant hybrid blockchain designed for the next generation of secure, scalable applications, putting developers first with multi-language smart contract support and built-in developer royalty fees. 👀 We’re looking for someone who can help developers: - Discover and understand our platform - Adopt our tools and SDKs - Build incredible, world-changing projects on QANplatform 🖥️ What you’ll do As a Senior Developer Relations Engineer, you’ll be the bridge between our engineering team and the wider developer ecosystem. You will: - Translate complex technology into actionable insights - Champion developer needs within the organization - Build meaningful relationships with the community - Write sample code, tutorials, and blogs - Run hackathons, deliver workshops, and host live SDK demos - Be the voice of developers internally — and our public voice to the community externally 🦄 Why this role is different This isn’t a traditional DevRel position. You’ll move fluidly between: - Writing and reviewing code - Creating technical and educational content - Engaging developers through events, demos, and collaboration Ready to make an impact? If you’re excited about bridging the gap between developers and next-generation blockchain technology, we’d love to hear from you. Apply now and let’s build something extraordinary together. Fill in this form to apply:

QANplatform

10,755 Aufrufe • vor 9 Monaten

In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence
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In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence

Zhang Heqing

11,384 Aufrufe • vor 1 Jahr

People who've never set foot in a factory will never understand... I watched this three times. For decades, robotics simulation has promised faster deployment. But factories still had to build the real cell to see if it actually worked. Which meant expensive physical prototypes, weeks or months!!! of commissioning, constant surprises between simulation and reality That “sim-to-real gap” has quietly been one of the biggest bottlenecks in manufacturing automation. And it’s exactly what is changing. Today, ABB Robotics announced a partnership with NVIDIA Robotics aimed at closing this gap through the new RobotStudio HyperReality platform: Simulation and real robot behavior can match with near-perfect accuracy. That means manufacturers can design, test, and validate entire production lines before a single robot is installed on the factory floor. The implications are massive: • up to 80% faster setup and commissioning • roughly 40% lower costs by removing physical prototypes • about 50% faster time-to-market for new production lines In other words: Factories can move from trial-and-error engineering to software-driven manufacturing design. Production lines become something you build and validate digitally first. Then deploy physically once everything already works. For an industry that still measures deployment timelines in months or years, this is a major shift. It changes how automation projects are planned, how factories are designed, and how fast manufacturing can adapt to new products. Physical AI actually becomes deployable at an industrial scale. I’ll be at GTC in San Jose next week to see and talk to manufacturers and robotics engineers. If you are into manufacturing like I am, hit me up; my DMs are open!
0:31

People who've never set foot in a factory will never understand... I watched this three times. For decades, robotics simulation has promised faster deployment. But factories still had to build the real cell to see if it actually worked. Which meant expensive physical prototypes, weeks or months!!! of commissioning, constant surprises between simulation and reality That “sim-to-real gap” has quietly been one of the biggest bottlenecks in manufacturing automation. And it’s exactly what is changing. Today, ABB Robotics announced a partnership with NVIDIA Robotics aimed at closing this gap through the new RobotStudio HyperReality platform: Simulation and real robot behavior can match with near-perfect accuracy. That means manufacturers can design, test, and validate entire production lines before a single robot is installed on the factory floor. The implications are massive: • up to 80% faster setup and commissioning • roughly 40% lower costs by removing physical prototypes • about 50% faster time-to-market for new production lines In other words: Factories can move from trial-and-error engineering to software-driven manufacturing design. Production lines become something you build and validate digitally first. Then deploy physically once everything already works. For an industry that still measures deployment timelines in months or years, this is a major shift. It changes how automation projects are planned, how factories are designed, and how fast manufacturing can adapt to new products. Physical AI actually becomes deployable at an industrial scale. I’ll be at GTC in San Jose next week to see and talk to manufacturers and robotics engineers. If you are into manufacturing like I am, hit me up; my DMs are open!

Ilir Aliu

68,927 Aufrufe • vor 5 Monaten

Uber CEO Dara Khosrowshahi just described the exact moment companies stop hiring engineers. It’s closer than anyone wants to admit. Khosrowshahi: “About 90% of our coders are using AI.” But that’s not the number that matters. 30% of those engineers have become power users. And what’s happening to their output has no historical precedent. Khosrowshahi: “They are showing a clear differentiation in the number of diffs.” A diff is a code release. The purest measure of engineering productivity. Khosrowshahi: “It’s changing their productivity in a way that I’ve never, ever seen before.” Right now, the math still favors hiring. If an average engineer becomes 25% more efficient, Uber hires more engineers to go faster. But that equation has an expiration date. Khosrowshahi: “Maybe 5 years from now as the engineers get more and more productive, I may not decide to add engineering headcount.” The tipping point isn’t when AI replaces engineers. It’s when adding an AI agent and buying GPUs produces more output per dollar than hiring a human. Khosrowshahi: “At that point instead of adding an engineer, I should add agents and buy some more GPUs from Nvidia.” When the CEO of a company built entirely on software says that out loud, it’s not a prediction. It’s a planning assumption. Khosrowshahi: “The job of a coder is going to change from actually writing the code to orchestrating agents who are writing the code.” Not writing. Orchestrating. The engineer becomes the conductor. The AI becomes the orchestra. The most valuable asset in a tech company is officially shifting from human capital to pure compute. And once that math flips, it doesn’t flip back.
1:50

Uber CEO Dara Khosrowshahi just described the exact moment companies stop hiring engineers. It’s closer than anyone wants to admit. Khosrowshahi: “About 90% of our coders are using AI.” But that’s not the number that matters. 30% of those engineers have become power users. And what’s happening to their output has no historical precedent. Khosrowshahi: “They are showing a clear differentiation in the number of diffs.” A diff is a code release. The purest measure of engineering productivity. Khosrowshahi: “It’s changing their productivity in a way that I’ve never, ever seen before.” Right now, the math still favors hiring. If an average engineer becomes 25% more efficient, Uber hires more engineers to go faster. But that equation has an expiration date. Khosrowshahi: “Maybe 5 years from now as the engineers get more and more productive, I may not decide to add engineering headcount.” The tipping point isn’t when AI replaces engineers. It’s when adding an AI agent and buying GPUs produces more output per dollar than hiring a human. Khosrowshahi: “At that point instead of adding an engineer, I should add agents and buy some more GPUs from Nvidia.” When the CEO of a company built entirely on software says that out loud, it’s not a prediction. It’s a planning assumption. Khosrowshahi: “The job of a coder is going to change from actually writing the code to orchestrating agents who are writing the code.” Not writing. Orchestrating. The engineer becomes the conductor. The AI becomes the orchestra. The most valuable asset in a tech company is officially shifting from human capital to pure compute. And once that math flips, it doesn’t flip back.

Dustin

420,288 Aufrufe • vor 6 Monaten

MUST SEE: Mark Lenzi, a senior US Security Engineer who was tasked with defending US Embassies against electronic spying, says US Embassies on the front lines with Russia are at “High Risk” for Directed Energy attacks. Lenzi says there have been multiple “incidents” that the US public does not know about and that have not been publicly reported dating back to before 2016. When Lenzi first reported “concerning” energy readings to his superiors, he said he was told to alter his report. “My job as a Security Engineering Officer is to take data, and send that back to Washington to determine if it [US Embassy] was under attack or not…I was told take that data out we don’t want to deal with that.” A senior state official said “the Department cannot comment on the particulars,” and remains “committed to protecting whistleblowers, aggressively investigating allegations of misconduct...”
2:03

MUST SEE: Mark Lenzi, a senior US Security Engineer who was tasked with defending US Embassies against electronic spying, says US Embassies on the front lines with Russia are at “High Risk” for Directed Energy attacks. Lenzi says there have been multiple “incidents” that the US public does not know about and that have not been publicly reported dating back to before 2016. When Lenzi first reported “concerning” energy readings to his superiors, he said he was told to alter his report. “My job as a Security Engineering Officer is to take data, and send that back to Washington to determine if it [US Embassy] was under attack or not…I was told take that data out we don’t want to deal with that.” A senior state official said “the Department cannot comment on the particulars,” and remains “committed to protecting whistleblowers, aggressively investigating allegations of misconduct...”

Catherine Herridge

241,558 Aufrufe • vor 1 Jahr

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.
1:08

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.

Dustin

66,374 Aufrufe • vor 5 Monaten

If you’ve ever opened Chrome DevTools, or optimized a page for Core Web Vitals, you’ve used software built by Addy Osmani. Timestamps: 00:00 Intro 02:50 Addy’s current workflow 05:11 Addy’s path into tech 15:04 Addy’s work on jQuery 16:44 TodoMVC 21:44 Getting hired at Google and working on Chrome 27:17 Building dev tools 40:15 Core Web Vitals 45:42 Google’s engineering culture 51:03 Addy’s career trajectory at Google 57:55 The director role at Google 1:01:40 Cognitive debt and cognitive surrender 1:03:03 Working with agents 1:05:52 Loop engineering 1:12:55 The changing role of the software engineer 1:18:15 How Addy uses AI in writing 1:27:40 What’s next for Addy 1:28:47 Career advice Brought to you by: • Antithesis – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages. Teams like Jane Street, and the etcd community use Antithesis to ship better code, faster. • Sentry – application monitoring software considered “not bad” by millions of developers. • Google Cloud Run – run untrusted agent code without the security anxiety. Cloud Run sandboxes deliver hyper-isolated, ephemeral execution environments that spin up in milliseconds. Check them out: Here's Addy's advice on where he believes engineers should invest efforts, in the coming years, in his words: “What we are very likely to see happen next with engineering careers (as well as product and other roles) is the unbundling of them, so that an engineer also has product sense, while a product person also has engineering sense, or UX sense. You should think about the non-engineering things if you don’t [usually] have the time to think about product or technical evangelism, or go-to-market approaches, or any other parts of how businesses are successful. If you can show employers that you are not just a builder, but someone that can help them as roles start to become a little bit fuzzier, then I think that you can be successful in these times. Don’t be just an engineer.”
1:32:29

If you’ve ever opened Chrome DevTools, or optimized a page for Core Web Vitals, you’ve used software built by Addy Osmani. Timestamps: 00:00 Intro 02:50 Addy’s current workflow 05:11 Addy’s path into tech 15:04 Addy’s work on jQuery 16:44 TodoMVC 21:44 Getting hired at Google and working on Chrome 27:17 Building dev tools 40:15 Core Web Vitals 45:42 Google’s engineering culture 51:03 Addy’s career trajectory at Google 57:55 The director role at Google 1:01:40 Cognitive debt and cognitive surrender 1:03:03 Working with agents 1:05:52 Loop engineering 1:12:55 The changing role of the software engineer 1:18:15 How Addy uses AI in writing 1:27:40 What’s next for Addy 1:28:47 Career advice Brought to you by: • Antithesis – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages. Teams like Jane Street, and the etcd community use Antithesis to ship better code, faster. • Sentry – application monitoring software considered “not bad” by millions of developers. • Google Cloud Run – run untrusted agent code without the security anxiety. Cloud Run sandboxes deliver hyper-isolated, ephemeral execution environments that spin up in milliseconds. Check them out: Here's Addy's advice on where he believes engineers should invest efforts, in the coming years, in his words: “What we are very likely to see happen next with engineering careers (as well as product and other roles) is the unbundling of them, so that an engineer also has product sense, while a product person also has engineering sense, or UX sense. You should think about the non-engineering things if you don’t [usually] have the time to think about product or technical evangelism, or go-to-market approaches, or any other parts of how businesses are successful. If you can show employers that you are not just a builder, but someone that can help them as roles start to become a little bit fuzzier, then I think that you can be successful in these times. Don’t be just an engineer.”

Gergely Orosz

396,505 Aufrufe • vor 12 Tagen

Humans are cooked. 😳 China just hosted the world's first robot-led gala show, 60 minutes of humanoid robots performing live on stage. Not a tech demo. Not a 30-second clip from a lab. A full entertainment show during the Chinese Spring Festival with 12 performances including dance, magic, comedy, martial arts, and a fashion runway. The robots did backflips. Let me say that again. The robots. Did. Backflips. AGIBOT G2 humanoid robots and D1 quadruped robots performed in perfectly synchronized formations…. rapid turns, group choreography, runway walks.. transitioning seamlessly between segments for a full hour. But here's what actually blew my mind: In one segment, human dancers performed alongside the robots in coordinated routines. Real-time alignment between human movement and robotic motion. You couldn't tell who was leading. In another, quadruped robots dressed as pandas danced with children on stage. And in the corner? A sign-language translation robot was providing barrier-free access for hearing-impaired viewers. This wasn't entertainment. This was a statement. Some context most people are missing: AGIBOT shipped over 5,000 humanoid robots in 2025. They're ranked #1 globally in humanoid robot shipments. The company was founded by a former Huawei "Genius Youth" engineer just 3 years ago. Three. Years. Meanwhile, Boston Dynamics has been at it for 32 years and still doesn't have a consumer product on the market. China isn't just catching up in robotics. They're lapping us while doing backflips. And the craziest part? You can now rent these same robots for events through their platform, starting at 999 yuan. That's about $140. The future isn't coming. It's performing on stage, doing backflips, and it costs less than your Costco run. AGIBOT #AGIBOT NIGHT #RobotsHumanoides #ArtesMarcialesChinas
1:12

Humans are cooked. 😳 China just hosted the world's first robot-led gala show, 60 minutes of humanoid robots performing live on stage. Not a tech demo. Not a 30-second clip from a lab. A full entertainment show during the Chinese Spring Festival with 12 performances including dance, magic, comedy, martial arts, and a fashion runway. The robots did backflips. Let me say that again. The robots. Did. Backflips. AGIBOT G2 humanoid robots and D1 quadruped robots performed in perfectly synchronized formations…. rapid turns, group choreography, runway walks.. transitioning seamlessly between segments for a full hour. But here's what actually blew my mind: In one segment, human dancers performed alongside the robots in coordinated routines. Real-time alignment between human movement and robotic motion. You couldn't tell who was leading. In another, quadruped robots dressed as pandas danced with children on stage. And in the corner? A sign-language translation robot was providing barrier-free access for hearing-impaired viewers. This wasn't entertainment. This was a statement. Some context most people are missing: AGIBOT shipped over 5,000 humanoid robots in 2025. They're ranked #1 globally in humanoid robot shipments. The company was founded by a former Huawei "Genius Youth" engineer just 3 years ago. Three. Years. Meanwhile, Boston Dynamics has been at it for 32 years and still doesn't have a consumer product on the market. China isn't just catching up in robotics. They're lapping us while doing backflips. And the craziest part? You can now rent these same robots for events through their platform, starting at 999 yuan. That's about $140. The future isn't coming. It's performing on stage, doing backflips, and it costs less than your Costco run. AGIBOT #AGIBOT NIGHT #RobotsHumanoides #ArtesMarcialesChinas

Shruti

104,721 Aufrufe • vor 6 Monaten

Thank you for the recognition Paul Azunre WE 3Farmate SPENT YEARS BUILDING A MACHINE THAT CAN REVOLUTIONIZE FARMING IN AFRICA AND BEYOND THROUGH ADVANCED AI and AUTOMATION THAT CAN WORK IN DIVERSE FARM ENVIRONMENTS, turning everyday tasks into seamless workflows while enabling produce growers to focus on what matters most. Beyond the mere automation of agriculture, our robot integrates several AI technologies to make farming intelligent, accurate, and productive but it seems a lot of people do not fully grasp what it takes to program a fully functioning agricultural robot, which is the first of its kind in the history of our country. It has taken us years to master the intricate and highly technical processes of teaching a robot how to see and understand its environment. Teaching a robot to spray a weed without touching a crop is not easy. It takes pixel-level precision and a staggering, painstaking number of years of complex annotation to get it right. We have failed many more times trying to get it right than we have trying to convince people that, with the right funding, we cannot just build farm machines but also have the capacity to engineer advanced technologies that can be applied across multiple industries. Come to think of it—how many industrial machines are we manufacturing locally and producing for export? With the engineering of our farm robot (FAMA), which is market-ready for deployment on farmlands, we are demonstrating that Ghanaian engineers have what it takes to transform our industry and make Africa a competitive, self-sustaining hub of innovation and manufacturing. There is no country that has truly developed in its fullest sense without a strong foundation in engineering. We are leveraging computer vision, edge computing, and real-time data processing to drive sustainable farming. A lot of people who sat on the sidelines of our history, waiting to see how young people like us would push our brand visibility, have done themselves a great disservice. Those who reposted, liked, and shared our content have helped amplify our story and have contributed to shaping the future of agriculture through AI. THANK YOU GHANA THANK YOU AFRICA GHANAIANS DID IT. AS AN AFRICAN, YOU CAN ALSO DO IT. We thank everyone who has truly supported us in bringing what we have achieved to the public. Thank you for believing in US. “The future is here.” 🇬🇭 🇬🇭 🇬🇭
0:31

Thank you for the recognition Paul Azunre WE 3Farmate SPENT YEARS BUILDING A MACHINE THAT CAN REVOLUTIONIZE FARMING IN AFRICA AND BEYOND THROUGH ADVANCED AI and AUTOMATION THAT CAN WORK IN DIVERSE FARM ENVIRONMENTS, turning everyday tasks into seamless workflows while enabling produce growers to focus on what matters most. Beyond the mere automation of agriculture, our robot integrates several AI technologies to make farming intelligent, accurate, and productive but it seems a lot of people do not fully grasp what it takes to program a fully functioning agricultural robot, which is the first of its kind in the history of our country. It has taken us years to master the intricate and highly technical processes of teaching a robot how to see and understand its environment. Teaching a robot to spray a weed without touching a crop is not easy. It takes pixel-level precision and a staggering, painstaking number of years of complex annotation to get it right. We have failed many more times trying to get it right than we have trying to convince people that, with the right funding, we cannot just build farm machines but also have the capacity to engineer advanced technologies that can be applied across multiple industries. Come to think of it—how many industrial machines are we manufacturing locally and producing for export? With the engineering of our farm robot (FAMA), which is market-ready for deployment on farmlands, we are demonstrating that Ghanaian engineers have what it takes to transform our industry and make Africa a competitive, self-sustaining hub of innovation and manufacturing. There is no country that has truly developed in its fullest sense without a strong foundation in engineering. We are leveraging computer vision, edge computing, and real-time data processing to drive sustainable farming. A lot of people who sat on the sidelines of our history, waiting to see how young people like us would push our brand visibility, have done themselves a great disservice. Those who reposted, liked, and shared our content have helped amplify our story and have contributed to shaping the future of agriculture through AI. THANK YOU GHANA THANK YOU AFRICA GHANAIANS DID IT. AS AN AFRICAN, YOU CAN ALSO DO IT. We thank everyone who has truly supported us in bringing what we have achieved to the public. Thank you for believing in US. “The future is here.” 🇬🇭 🇬🇭 🇬🇭

MARK OFORIQUAYE

30,137 Aufrufe • vor 4 Monaten

Let's reverse engineer Disney's adorable, lifelike robot! I couldn't find a whitepaper, but this is how I think it's trained: 1. The emotional behaviors are curated by Disney animation artists, keyframe by keyframe. But it cannot be "rendered" directly on the robot because it doesn't take into account the complex real-world physics. 2. Reinforcement learning (RL) is a great tool for training low-level robot controllers. RL needs a reward function to optimize, and it's typically a task reward (e.g. walk in a straight line as fast as possible). The problem is that RL doesn't know what counts as "natural behavior", and often produces weird-looking body postures that somehow still maximize the reward. This is a human alignment problem just like ChatGPT. 3. Enters Adversarial Motion Prior (AMP): a technique that learns the human preference by training a classifier on what we consider "emotional & cute". In GAN literature, this is called a discriminator. Disney artists are good at creating such a dataset. You can then add AMP as an auxiliary reward in simulation to nudge the robot towards desired behaviors. AMP was developed by Peng et al. 2021 and Escontrela et al. 2022. 4. Add lots of data augmentation to make the controller robust to physical disturbances. In RL, it's called "domain randomization". This is a very powerful technique that bridges the gap between simulator and reality. Previously, OpenAI used domain randomization to train a 5-finger robot hand to manipulate a Rubik's Cube: IEEE news article gave hints about the pipeline: Finally, praying for world peace 🙏. I hope robotics like this will bring more joy to the world.
0:58

Let's reverse engineer Disney's adorable, lifelike robot! I couldn't find a whitepaper, but this is how I think it's trained: 1. The emotional behaviors are curated by Disney animation artists, keyframe by keyframe. But it cannot be "rendered" directly on the robot because it doesn't take into account the complex real-world physics. 2. Reinforcement learning (RL) is a great tool for training low-level robot controllers. RL needs a reward function to optimize, and it's typically a task reward (e.g. walk in a straight line as fast as possible). The problem is that RL doesn't know what counts as "natural behavior", and often produces weird-looking body postures that somehow still maximize the reward. This is a human alignment problem just like ChatGPT. 3. Enters Adversarial Motion Prior (AMP): a technique that learns the human preference by training a classifier on what we consider "emotional & cute". In GAN literature, this is called a discriminator. Disney artists are good at creating such a dataset. You can then add AMP as an auxiliary reward in simulation to nudge the robot towards desired behaviors. AMP was developed by Peng et al. 2021 and Escontrela et al. 2022. 4. Add lots of data augmentation to make the controller robust to physical disturbances. In RL, it's called "domain randomization". This is a very powerful technique that bridges the gap between simulator and reality. Previously, OpenAI used domain randomization to train a 5-finger robot hand to manipulate a Rubik's Cube: IEEE news article gave hints about the pipeline: Finally, praying for world peace 🙏. I hope robotics like this will bring more joy to the world.

Jim Fan

314,694 Aufrufe • vor 2 Jahren

Jensen on Elon Musk “Elon, as you know, is just an extraordinary engineer. And I love working with him. We’ve built some amazing computers together. We’re going to build many more computers together, and the work that he’s doing in Grok, his self-driving car, his Optimus—these are all world-class. Every single one of them. Revolutionary. Every single one of them are going to be gigantic opportunities. And we’re delighted. I’m delighted to be working with him on that. So I think the Optimus opportunity is just right around the corner. It’s very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. And so I think this is likely to be the next multi-trillion-dollar industry. I’m very excited for him”
1:02

Jensen on Elon Musk “Elon, as you know, is just an extraordinary engineer. And I love working with him. We’ve built some amazing computers together. We’re going to build many more computers together, and the work that he’s doing in Grok, his self-driving car, his Optimus—these are all world-class. Every single one of them. Revolutionary. Every single one of them are going to be gigantic opportunities. And we’re delighted. I’m delighted to be working with him on that. So I think the Optimus opportunity is just right around the corner. It’s very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. And so I think this is likely to be the next multi-trillion-dollar industry. I’m very excited for him”

Tesla Owners Silicon Valley

34,239 Aufrufe • vor 7 Monaten

Jensen on Elon Musk “Elon, as you know, is just an extraordinary engineer. And I love working with him. We’ve built some amazing computers together. We’re going to build many more computers together, and the work that he’s doing in Grok, his self-driving car, his Optimus—these are all world-class. Every single one of them. Revolutionary. Every single one of them are going to be gigantic opportunities. And we’re delighted. I’m delighted to be working with him on that. So I think the Optimus opportunity is just right around the corner. It’s very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. And so I think this is likely to be the next multi-trillion-dollar industry. I’m very excited for him”
1:02

Jensen on Elon Musk “Elon, as you know, is just an extraordinary engineer. And I love working with him. We’ve built some amazing computers together. We’re going to build many more computers together, and the work that he’s doing in Grok, his self-driving car, his Optimus—these are all world-class. Every single one of them. Revolutionary. Every single one of them are going to be gigantic opportunities. And we’re delighted. I’m delighted to be working with him on that. So I think the Optimus opportunity is just right around the corner. It’s very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. And so I think this is likely to be the next multi-trillion-dollar industry. I’m very excited for him”

Tesla Owners Silicon Valley

14,372 Aufrufe • vor 5 Monaten