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Wow xiaomi robotics is really open. Other robot companies just won't release these videos. incredible transparency Lei Jun

You Jiacheng

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34,311 views • 7 months ago •via X (Twitter)

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Xiomi CEO is asking Elon Musk for a selfie… while building a billion dollar empire himself. Lei Jun owns: - Xiaomi - Xiaomi smartphones - Xiaomi smart home ecosystem - Xiaomi IoT products - Xiaomi wearables - Xiaomi TVs - Xiaomi EV division Elon Musk owns: - Tesla - SpaceX - xAI - X (Twitter) - Neuralink - The Boring Company Lei Jun focuses on: - smartphones - consumer electronics - IoT ecosystem - smart home devices - EVs Elon Musk focuses on: - rockets - AI - robotics - EVs - brain tech - social media Lei Jun built one giant ecosystem company. Elon Musk built multiple independent billion-dollar companies.

Xiomi CEO is asking Elon Musk for a selfie… while building a billion dollar empire himself. Lei Jun owns: - Xiaomi - Xiaomi smartphones - Xiaomi smart home ecosystem - Xiaomi IoT products - Xiaomi wearables - Xiaomi TVs - Xiaomi EV division Elon Musk owns: - Tesla - SpaceX - xAI - X (Twitter) - Neuralink - The Boring Company Lei Jun focuses on: - smartphones - consumer electronics - IoT ecosystem - smart home devices - EVs Elon Musk focuses on: - rockets - AI - robotics - EVs - brain tech - social media Lei Jun built one giant ecosystem company. Elon Musk built multiple independent billion-dollar companies.

ZARA

336,720 views • 4 months ago

🐶⚡️Buffer pupper is coming with ROS2 Jazzy. 🤖Look at that butter-smooth 2D SLAM on Ubuntu 24.04! Bye Humble, you will be missed (not really). 😉 📖 Detail: Open Robotics Robot Operating System (ROS) Ubuntu omg! ubuntu Raspberry Pi Maker Faire OpenSource Orgs

🐶⚡️Buffer pupper is coming with ROS2 Jazzy. 🤖Look at that butter-smooth 2D SLAM on Ubuntu 24.04! Bye Humble, you will be missed (not really). 😉 📖 Detail: Open Robotics Robot Operating System (ROS) Ubuntu omg! ubuntu Raspberry Pi Maker Faire OpenSource Orgs

MiniPupper@MangDang

11,444 views • 3 months ago

🚨NEW: Tucker Carlson "REALLY HAPPY" with Trump Admin Epstein Files release🚨 "His administration just released more than 3 million documents ... that's a win for exposure, for transparency, for knowledge. And knowledge is the predicate of change." Daily Caller

🚨NEW: Tucker Carlson "REALLY HAPPY" with Trump Admin Epstein Files release🚨 "His administration just released more than 3 million documents ... that's a win for exposure, for transparency, for knowledge. And knowledge is the predicate of change." Daily Caller

Jason Cohen 🇺🇸

49,943 views • 7 months ago

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.

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 views • 9 months ago

Two companies. Two visions of the future of robotics. One image that millions of people have already mistaken for a real photograph. On one side—rows of Tesla Optimus robots. On the other—a Unitree army. People are debating who will win the "humanoid race." The real competition between these companies is playing out not on the factory floor, but in the capital and patent markets.

Two companies. Two visions of the future of robotics. One image that millions of people have already mistaken for a real photograph. On one side—rows of Tesla Optimus robots. On the other—a Unitree army. People are debating who will win the "humanoid race." The real competition between these companies is playing out not on the factory floor, but in the capital and patent markets.

Yura_5800

34,971 views • 15 days ago

We're open-sourcing "The Amazing Hand", an eight-degree of freedom humanoid robot hand compatible with Sarah’s Vintage that can be 3-D printed at home for less than $250 ✌️✌️✌️ Given the success of Reachy Mini (2,000+ robots sold in a few days), we won't have the bandwidth to manufacture this one ourselves but we release the bill of materials, the CAD files and assembly guides for everyone to build or sell their own, let's go open-source AI robotics!

We're open-sourcing "The Amazing Hand", an eight-degree of freedom humanoid robot hand compatible with Sarah’s Vintage that can be 3-D printed at home for less than $250 ✌️✌️✌️ Given the success of Reachy Mini (2,000+ robots sold in a few days), we won't have the bandwidth to manufacture this one ourselves but we release the bill of materials, the CAD files and assembly guides for everyone to build or sell their own, let's go open-source AI robotics!

clem 🤗

210,178 views • 1 year ago

🗣There is your couple events surprises abroad? F:This year not sure B:yes F:we two just open new companies We ask for B:it's stable first F:yes make it really stable FB SONGKRAN WITH CTW #CTWSongkran26xFreenBecky #FreenBecky #ฟรีนเบค

🗣There is your couple events surprises abroad? F:This year not sure B:yes F:we two just open new companies We ask for B:it's stable first F:yes make it really stable FB SONGKRAN WITH CTW #CTWSongkran26xFreenBecky #FreenBecky #ฟรีนเบค

Love Dino Ji 공룡 사랑~

88,541 views • 5 months ago

1/ NVIDIA just open-sourced Cosmos 3 at GTC Taipei! It's the first fully open "omnimodel" for physical AI - one model that understands the real world, predicts what happens next, and generates the actions a robot should take. Weights, code, datasets. All open. And this is really big. Lets dig into everything: 🧵

1/ NVIDIA just open-sourced Cosmos 3 at GTC Taipei! It's the first fully open "omnimodel" for physical AI - one model that understands the real world, predicts what happens next, and generates the actions a robot should take. Weights, code, datasets. All open. And this is really big. Lets dig into everything: 🧵

Chubby♨️

18,088 views • 4 months ago

Xiaomi MiMo-V2.6 Pro vs MiMo-V2.6 Flash, Honestly, I didn’t expect them to be this cheap, The whole test cost me just a few cents and took around an hour From what I’m seeing in my benchmarks, MiMo V2.6 Pro is even doing a bit better than GLM 5.3 in some areas, But the thing that surprised me the most is the efficiency, For the price, this is kinda crazy, Xiaomi is really cooking with these models

Xiaomi MiMo-V2.6 Pro vs MiMo-V2.6 Flash, Honestly, I didn’t expect them to be this cheap, The whole test cost me just a few cents and took around an hour From what I’m seeing in my benchmarks, MiMo V2.6 Pro is even doing a bit better than GLM 5.3 in some areas, But the thing that surprised me the most is the efficiency, For the price, this is kinda crazy, Xiaomi is really cooking with these models

Iam_

18,129 views • 13 days ago

Today may be the ImageNet moment for robotics. RT-X: the largest open-source robot dataset ever compiled, across 33 institutes, 22 robot hardware, 527 skills, and 1M episodes. Why is robotics lagging so far behind NLP, vision, and other AI domains? Data scarcity is the main culprit to blame, among other difficulties. Unlike text, images, and videos, you cannot download mass amounts of onboard robot control data from the internet. They simply don't exist in the wild. 11 yrs ago, ImageNet kicked off the deep learning revolution. 3-4 yrs ago, internet-scale data fueled the first GPTs and Diffusions that define this era of foundation models. I think 2023 is finally the year for robotics to scale up. Robot foundation models like VIMA ( my team's work at NVIDIA) and RT-1/2 ( Google DeepMind's effort) are extremely data hungry. While massively parallel simulations like NVIDIA IsaacGym & Omniverse can alleviate the problem to some extent, it's still not quite enough to bridge the gap to the messy, physical world. This new dataset is not just a technical contribution. I also see it as a commendable effort to overcome institutional bureaucracies and unite researchers from around the world to tackle a grand challenge together. Robotics will be the final holy grail that we capture in AI. We are not there yet, but ascending in the right gradient direction. RT-X website: Launch blog:

Today may be the ImageNet moment for robotics. RT-X: the largest open-source robot dataset ever compiled, across 33 institutes, 22 robot hardware, 527 skills, and 1M episodes. Why is robotics lagging so far behind NLP, vision, and other AI domains? Data scarcity is the main culprit to blame, among other difficulties. Unlike text, images, and videos, you cannot download mass amounts of onboard robot control data from the internet. They simply don't exist in the wild. 11 yrs ago, ImageNet kicked off the deep learning revolution. 3-4 yrs ago, internet-scale data fueled the first GPTs and Diffusions that define this era of foundation models. I think 2023 is finally the year for robotics to scale up. Robot foundation models like VIMA ( my team's work at NVIDIA) and RT-1/2 ( Google DeepMind's effort) are extremely data hungry. While massively parallel simulations like NVIDIA IsaacGym & Omniverse can alleviate the problem to some extent, it's still not quite enough to bridge the gap to the messy, physical world. This new dataset is not just a technical contribution. I also see it as a commendable effort to overcome institutional bureaucracies and unite researchers from around the world to tackle a grand challenge together. Robotics will be the final holy grail that we capture in AI. We are not there yet, but ascending in the right gradient direction. RT-X website: Launch blog:

Jim Fan

265,061 views • 3 years ago

The Xiaomi SU7 just keeps crashing in China - Part 3 This is getting out of hand. Every day, we see new videos on Chinese social media of crashing Xiaomi SU7 sedans. We only post 25% or so, there is much more. Since our last Xiaomi crash-post on April 6, at least 10 new crashes have happened. Whenever a new model is launched, photos of crashes of that car start to appear on Chinese social media, just because people pay attention. Normally, after a few months, the attentions is over and the model really crashes as much as any other car. But in case of the Xiaomi SU7, something more seems to be going on. The latest videos show SU7 sedans in a ditch and against barriers. The 2nd video is interesting. It shows an SU7 on a parking lot, crashing into a Chery QQ that was parked there. Perhaps the auto-park function didn't notice the small QQ and went for it? There have been reports in Chinese media that insurance companies are refusing to insure the SU7. Xiaomi and the insurers have stated that these reports are false. We will try to find out more about insurance prices for the SU7. The RWD SU7 Pro has 220 kW, the AWD Max has 673 kW and the AWD Ultra has 1138 kW. When the SU7 launched, there was a problem with the brakes. This has since been fixed, according to Xiaomi. Also, the launch of the Ultra has led to some debate in China, about whether it is wise to sell a 1138 kW (1548 hp) car to anyone who can afford it. And with a $72.7K price tag, that's a lot of people. Xiaomi #ChineseCars #China Porsche #Crash #CarCrash #CarNews

The Xiaomi SU7 just keeps crashing in China - Part 3 This is getting out of hand. Every day, we see new videos on Chinese social media of crashing Xiaomi SU7 sedans. We only post 25% or so, there is much more. Since our last Xiaomi crash-post on April 6, at least 10 new crashes have happened. Whenever a new model is launched, photos of crashes of that car start to appear on Chinese social media, just because people pay attention. Normally, after a few months, the attentions is over and the model really crashes as much as any other car. But in case of the Xiaomi SU7, something more seems to be going on. The latest videos show SU7 sedans in a ditch and against barriers. The 2nd video is interesting. It shows an SU7 on a parking lot, crashing into a Chery QQ that was parked there. Perhaps the auto-park function didn't notice the small QQ and went for it? There have been reports in Chinese media that insurance companies are refusing to insure the SU7. Xiaomi and the insurers have stated that these reports are false. We will try to find out more about insurance prices for the SU7. The RWD SU7 Pro has 220 kW, the AWD Max has 673 kW and the AWD Ultra has 1138 kW. When the SU7 launched, there was a problem with the brakes. This has since been fixed, according to Xiaomi. Also, the launch of the Ultra has led to some debate in China, about whether it is wise to sell a 1138 kW (1548 hp) car to anyone who can afford it. And with a $72.7K price tag, that's a lot of people. Xiaomi #ChineseCars #China Porsche #Crash #CarCrash #CarNews

Tycho de Feijter

21,818 views • 1 year ago

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

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

Miyu Horiuchi

90,718 views • 8 months ago

Algerian Air Force Beriev BE-200ES flying extremely low while fighting wildfires. Wow, I thought it was just the perspective at first. Then I noticed the aircraft's shadow... it really is flying that low. These pilots are heroes! 📹: abdou_13tlm

Algerian Air Force Beriev BE-200ES flying extremely low while fighting wildfires. Wow, I thought it was just the perspective at first. Then I noticed the aircraft's shadow... it really is flying that low. These pilots are heroes! 📹: abdou_13tlm

Turbine Traveller

162,173 views • 2 months ago

Wow! This is amazing! Segmented every car locally in real time with Meta's SAM3 converted to MLX. Just on-device (M2 laptop) vision getting absurdly good. Local AI is moving faster than most people realize! What other models should we test? what kind of videos?

Wow! This is amazing! Segmented every car locally in real time with Meta's SAM3 converted to MLX. Just on-device (M2 laptop) vision getting absurdly good. Local AI is moving faster than most people realize! What other models should we test? what kind of videos?

Maziyar PANAHI

177,270 views • 6 months ago

It's happening. There are real companies who will just use an AI-created rip of my voice to promote their stuff. And there's really no repercussions for it other than being known as this scummy shady company that is willing to stoop that low to sell some product

It's happening. There are real companies who will just use an AI-created rip of my voice to promote their stuff. And there's really no repercussions for it other than being known as this scummy shady company that is willing to stoop that low to sell some product

Marques Brownlee

3,757,342 views • 2 years ago

Black Forest Labs just announced FLUX 3: a unified multimodal model for image, video, audio and action prediction. Founded in Freiburg, Germany, one of the few globally significant European companies in the AI sector. The current release is gated early access, not open source. But if FLUX 3 Dev actually ships with usable open weights, this could become one of the most important open-model releases in generative video yet. Especially after the Chinese Minimax H3 release. BFL claims, based on preliminary internal comparisons, that FLUX 3 outperformed models such as Runway Gen-4.5, Luma Ray 3.2, Kling 3 Pro, and Seedance 2.0. However, these figures stem from the early-access phase and do not constitute independent validation. Be that as it may, it's great to see the quality that today's video models can produce at affordable prices. Something that would have been unthinkable a year ago. Really cool release!

Black Forest Labs just announced FLUX 3: a unified multimodal model for image, video, audio and action prediction. Founded in Freiburg, Germany, one of the few globally significant European companies in the AI sector. The current release is gated early access, not open source. But if FLUX 3 Dev actually ships with usable open weights, this could become one of the most important open-model releases in generative video yet. Especially after the Chinese Minimax H3 release. BFL claims, based on preliminary internal comparisons, that FLUX 3 outperformed models such as Runway Gen-4.5, Luma Ray 3.2, Kling 3 Pro, and Seedance 2.0. However, these figures stem from the early-access phase and do not constitute independent validation. Be that as it may, it's great to see the quality that today's video models can produce at affordable prices. Something that would have been unthinkable a year ago. Really cool release!

Chubby♨️

39,869 views • 2 months ago

The SpaceX Falcon 9 reusability record is incredible One single booster, tail number B1067, has successfully launched and landed 31 times as of late 2025 It's not just one....Several other boosters have flown over 20 times This is why SpaceX Falcon 9 remains the go-to launch vehicle for delivering payloads to orbit, trusted by governments and private companies worldwide

The SpaceX Falcon 9 reusability record is incredible One single booster, tail number B1067, has successfully launched and landed 31 times as of late 2025 It's not just one....Several other boosters have flown over 20 times This is why SpaceX Falcon 9 remains the go-to launch vehicle for delivering payloads to orbit, trusted by governments and private companies worldwide

X Freeze

165,987 views • 10 months ago

🚨 WOW! Donald Trump just dropped a truth nuke: “One of these men is the most corrupt president in the history of the United States” “The other is Richard Nixon.” 👏🏻👏🏻 HUSSEIN WAS THE WORST. By far. We are STILL cleaning up the damage he did to this nation

🚨 WOW! Donald Trump just dropped a truth nuke: “One of these men is the most corrupt president in the history of the United States” “The other is Richard Nixon.” 👏🏻👏🏻 HUSSEIN WAS THE WORST. By far. We are STILL cleaning up the damage he did to this nation

Eric Daugherty

74,502 views • 15 hours ago

🚨China vs USA robots Chinese robot: $24,000 American robot: $39,100 Pricing policy isn't everything. If we look at real capabilities, the balance of power looks completely different 🇨🇳 The robot demonstrates incredible agility, confidently performs a backflip, moves dynamically, and dances Maximum flexibility, high tech at an affordable price, and readiness for real-world tasks 🇺🇸 The robot, with a higher price tag, currently looks more modest, struggling even with basic rectilinear walking An obvious overpayment for brand and marketing, while Chinese engineers are outpacing competitors in software and hardware The main paradox of the current moment is that Chinese companies focus on rapidly cheapening hardware and mass production, turning robotics into an accessible mass-market consumer product. Meanwhile, the US traditionally tries to enter the market through fundamental neural networks and a universal AI brain However, in the coming years, we will see the inevitable convergence of these approaches: the winner in this race will not be the one who simply teaches a robot to do a backflip or walk straight, but the one who first combines Chinese cheap and adaptive mechatronics with advanced American language and multimodal models And what do you think, who will ultimately set the global standard in robotics East or West?

Bober_smart

34,991 views • 1 month ago