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RoboMaster 2026 is here! 🤖⚙️ Founded by DJI, the world’s largest consumer drone maker based in Shenzhen, this is a global platform for robotics competition and academic exchange. From March to April, university teams across China are putting their engineering skills to the test. Video from RoboMaster机甲大师 DJI RoboMaster...

22,664 görüntüleme • 4 ay önce •via X (Twitter)

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Something big is happening in robotics - and it’s hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, Hugging Face datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include NVIDIA, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from AI World - link to the story and more viz/filters in comment.

Pierre-Alexandre Balland

186,094 görüntüleme • 8 ay önce

We're excited to announce the launch of the Chainlink Reserve, a new upgrade centered on the creation of a strategic onchain reserve of LINK tokens. The Chainlink Reserve is designed to support the long-term growth and sustainability of the Chainlink Network by accumulating LINK tokens using offchain revenue from large enterprises that are adopting the Chainlink standard and from onchain service usage. The Chainlink Reserve is being built up by using Payment Abstraction to convert offchain and onchain revenue into LINK, using a combination of Chainlink services and decentralized exchange infrastructure. Demand for Chainlink has already created hundreds of millions of dollars in revenue, substantially from large enterprises that have paid offchain for access to the Chainlink Platform. With increasing demand from a number of the world’s largest banking and capital markets institutions, this form of paying for the Chainlink standard is expected to grow into the future as the industry grows. The Reserve has already accumulated over $1M worth of LINK from this early stage launch phase, which is expected to gradually grow in the coming months as more revenue is converted into LINK and placed into the Reserve. We do not expect any withdrawals from the Reserve for multiple years and thus it is expected to grow over time. We believe that as the industry demand for Chainlink’s unique capabilities increases, that adoption of Chainlink services will enable the Reserve to grow further. 🧵👇

Chainlink

4,945,458 görüntüleme • 1 yıl önce

A Letter to Our Community: The Road Ahead for Robotics To our Community and Partners, As we step into 2026, our mission at Axis is clearer than ever: Constructing the definitive End-to-End Scaling Layer for Robotics. Our goal is to accelerate the transfer of diverse human intelligence into Robotics General Intelligence (RGI). By owning the critical path of intelligence creation, we are turning the physical limitations of robotics into a scalable, software-driven future. Here is our strategic outlook and roadmap for the year ahead. The Core Thesis: Simulation is the Only Way Out The path to RGI is currently blocked by Data Scarcity, Generalization Fragility, and Hardware Fragmentation. At Axis, we believe Simulation is the only way out. Our Simulation Data Platform and Data Augmentation Engine transform raw data into "Synthetic Gold". Backed by academic milestones like Roboverse, Skill Blending, and GraspVLA, we have proven that pure simulation can achieve the generalization required for the real world. We don’t just collect data; we architect it. The Engine: Why Crypto? We believe RGI should come from all, not a few. Crypto is not just a feature; it is the primitive that powers our entire ecosystem flywheel: - Incentive Mechanism: Democratizing contribution and rewarding the trainers and developers. - Assetization: Turning proprietary data and refined models into liquid, ownable assets. - Verifiable Workflow: We are opening the "Black Box" of AI. By bringing total transparency to the Task Generation → Data Collection → Model Training pipeline, we ensure every byte of intelligence is verifiable, traceable, and secure. 2026 Strategic Deliverables This year, we are committed to delivering three foundational pillars: - The World's Largest Training Dataset for Robots: A robot training set—diverse, high-quality interaction data at an unprecedented scale. - A Robotics Foundation Model: A universal robotic brain trained on our pure simulation and synthetic data, capable of robust cross-embodiment transfer and open-world adaptability. - Evolvable Robot Hardware: Robots deployed with Axis models that autonomously evolve through continuous interaction, turning every deployment into a self-improving node within our RGI network. The Ultimate Vision We are building more than models; we are architecting the Distributed Machine Economy. A future where every dataset, model, and robotic embodiment is a verifiable asset in a global, autonomous network. Thank you for building the future of intelligence with us✌️📷

Axis Robotics

27,858 görüntüleme • 7 ay önce

THIS 15-SECOND ANIMATION EXPLAINS THE BASIC MATH OF HOW ROBLOX PAYS DEVELOPERS. WHAT IT DOESN'T EXPLAIN IS THAT THE TOP GAME ON THE PLATFORM EARNED OVER $1 BILLION IN LIFETIME REVENUE FROM THE EXACT SAME FORMULA. NOBODY OUTSIDE GAMING TWITTER IS PROCESSING WHAT THIS MEANS. The formula is brutally simple. 100,000 Robux converts to $350 USD through DevEx. Top games earn billions of Robux per year. That math creates real billionaires in real bank accounts while parents tell their kids to stop playing video games and study for a real career. Here are the numbers from the last 12 months that should change how you think about this platform. Steal a Brainrot crossed $1.1 billion in lifetime revenue from a game that looks like a kid built it in a weekend. The mechanics are basic. The graphics are rough. The execution timing was perfect. The numbers don't care about quality. They care about retention. Blox Fruits earned $29 million from Premium Payouts alone. Not from in-game purchases. Not from game passes. From a passive revenue stream most developers don't even know exists. The total revenue across all streams is closer to $1.9 billion across the game's lifetime. A solo developer named ReallyReal earned $21,000 in his first month from a basic incremental tycoon game built without hiring anyone. He was living paycheck to paycheck 60 days before recording the video showing his Creator Hub dashboard. A different solo developer made $52,500 from an aimbot arena game built in 3 hours using free models with zero original code. Roblox developer payouts hit $923 million across all creators in 2024. The number cleared $1.4 billion in 2025. The trajectory for 2026 is $2 billion plus. Now here's the thesis after watching this economy for 18 months. The Roblox economy is the App Store 2008 moment that nobody outside the platform recognizes. The first wave of developers who shipped on iPhone in 2008 became millionaires by 2012. The kids shipping on Roblox in 2025 will become millionaires by 2027. The parallel is exact. A new platform. A new monetization model. A new generation of builders who understand the audience better than the previous generation. A 4-year window before saturation kills the easy money. We are 18 months into that window. What I learned watching the Roblox creators ship over the last year applies to every emerging platform. Niche selection beats execution. Shipping speed beats perfectionism. Cultural awareness beats technical skill. Distribution mechanics matter more than feature depth. These same principles apply to AI agent platforms launching in 2026. They apply to spatial computing platforms launching in 2027. They apply to whatever comes after that. The kids who learned the playbook on Roblox will dominate the next 3 platforms because they already understand how attention economies work. The parents who told them to stop playing games will spend the next decade wondering how their kid built a 7-figure business at 17. This is the last thing I'll write about Roblox for a while. The economy is real. The opportunity is open. The math is verified. Open Roblox Studio this weekend and ship something or accept that you're watching the platform from the sidelines while teenagers in Manila and Lagos and Buenos Aires build the next generation of digital wealth.

lagerskoy

24,872 görüntüleme • 3 ay önce

For the first time in the history of automation, the people most likely to be replaced are the ones building their own replacement, frame by frame, for a few dollars an hour. Across India, Nigeria, China, and Argentina, workers are strapping cameras to their heads and recording every fold of laundry, every stitch, every washed dish, and that footage is training the robots designed to do those exact jobs. This is documented, not rumor. No jokes! Garment workers in Tamil Nadu, India have been filmed wearing head-mounted cameras on the factory floor, sending point-of-view footage to data firms whose clients include Fortune 500 companies. One US company alone has hired thousands of workers across more than 50 countries to record themselves cooking, cleaning, and folding clothes. More than 6 billion dollars poured into humanoid robots last year, and the one ingredient every maker is starved for is precisely this: real human hands doing real human work. The endpoint is stated plainly by the buyers. In China, one supplier said his pitch to factories is to let workers wear the cameras now, because trained robots will eventually work there instead. The quiet part is the exchange itself. The worker is paid for the hour and keeps nothing after it. No share, no royalty, no ownership of the movements their own body is teaching the machine. The skill leaves their hands and becomes someone else's product, and almost no one along the chain sees the full shape of the trade, not always the person filming, not the millions who watch the clip and scroll on. One scene holds all of it. A humanoid robot spent an hour folding three shirts while a human housekeeper, hired to guide it, quietly finished the rest of the chores. Every automation before this arrived from the outside. A machine showed up and took the job. This one is being built from the inside, by the workers themselves, handing over the last thing they had left to sell. UBI ? or something totally else should pave the way in the future? Thoughts?

Shanaka Anslem Perera ⚡

95,549 görüntüleme • 2 ay önce