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X Square ran a fully autonomous logistics livestream: sorting parcels and flipping the barcode side up for the scanner. - 1,816 parcels/hour (~2 seconds per parcel) - 98% accuracy - ~45% higher throughput than Figure's sub-3 seconds per parcel pace from its multiday livestream in May. It's driven by... show more

The Humanoid Hub

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69,894 просмотров • 5 дней назад •via X (Twitter)

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$X Square just beat Figure’s package-sorting pace by ~45%—without a humanoid. In a 1-hour autonomous livestream, two WALL-B-powered 6-axis arms handled 1,816 mixed parcels at 98%+ accuracy. Figure’s 200-hour humanoid run averaged 1,248/hour. That’s 1.98 seconds per parcel vs. 2.88 seconds for Figure. Nearly a full second faster on every package. China processed nearly 199B express parcels in 2025. At that scale, every fraction of a second adds up. Figure is betting on the general-purpose humanoid: one body, eventually many jobs. X Square builds humanoids too, but went pragmatic here—pairing WALL-B with purpose-built arms and grippers for a faster, simpler, more economical logistics system. RobotEra made a similar choice. Its M7 at China Post skips the legs too, using an upper-body humanoid at the sorting line. This is one big difference I keep seeing between U.S. and Chinese robotics: U.S. teams like Figure are making a massive bet on the universal humanoid. Chinese teams are often more willing to change the body if it makes the economics work today. Back in June, I called logistics sorting the right first job for humanoids. X Square is making me rethink the “humanoid” part. If the job doesn’t need legs—or five fingers—why pay for them?$

X Square just beat Figure’s package-sorting pace by ~45%—without a humanoid. In a 1-hour autonomous livestream, two WALL-B-powered 6-axis arms handled 1,816 mixed parcels at 98%+ accuracy. Figure’s 200-hour humanoid run averaged 1,248/hour. That’s 1.98 seconds per parcel vs. 2.88 seconds for Figure. Nearly a full second faster on every package. China processed nearly 199B express parcels in 2025. At that scale, every fraction of a second adds up. Figure is betting on the general-purpose humanoid: one body, eventually many jobs. X Square builds humanoids too, but went pragmatic here—pairing WALL-B with purpose-built arms and grippers for a faster, simpler, more economical logistics system. RobotEra made a similar choice. Its M7 at China Post skips the legs too, using an upper-body humanoid at the sorting line. This is one big difference I keep seeing between U.S. and Chinese robotics: U.S. teams like Figure are making a massive bet on the universal humanoid. Chinese teams are often more willing to change the body if it makes the economics work today. Back in June, I called logistics sorting the right first job for humanoids. X Square is making me rethink the “humanoid” part. If the job doesn’t need legs—or five fingers—why pay for them?

RoboHub🤖

76,621 просмотров • 4 дней назад

Humanoid logistics sorters are starting real shifts in both the U.S. and China 🤖 Figure is entering Catalyst Brands’ Reno logistics center, inside the retail network behind JCPenney, Aéropostale, and Brooks Brothers. RobotEra’s M7 is working at China Post’s Guangzhou logistics hub, feeding and sorting parcels on live lines. This is the right first job for humanoids: repetitive, physical, structured, high-volume, and easy to measure. Figure’s F.03 ran a 200-hour public sorting test and handled nearly 250,000 parcels. RobotEra’s system is being used for parcel feeding, package orientation, and exception handling, with peak throughput reported around 1,200 parcels per hour. The demand side is obvious. China handled nearly 199 billion express parcels in 2025. Guangzhou alone processed about 21.9 billion parcels, more than enough to turn sorting into a brutal labor and throughput problem. The U.S. has a different pressure point. Parcel volume is smaller, but warehouse labor is much more expensive, so a robot that can work long repetitive shifts has a cleaner ROI story if uptime, maintenance, and deployment cost hold up. The hard part is not the demo. It is barcode orientation, soft bags, crushed boxes, recovery after errors, battery swaps, fleet coordination, and keeping the line moving when nobody is filming. Sorting is still only one link in logistics. The bigger test is whether these robots can move from conveyor work into loading, unloading, picking, exception handling, and eventually the last mile — where the environment stops being friendly. That is the real question now. Not whether humanoids can sort packages, but whether they can earn the next job after sorting.

Humanoid logistics sorters are starting real shifts in both the U.S. and China 🤖 Figure is entering Catalyst Brands’ Reno logistics center, inside the retail network behind JCPenney, Aéropostale, and Brooks Brothers. RobotEra’s M7 is working at China Post’s Guangzhou logistics hub, feeding and sorting parcels on live lines. This is the right first job for humanoids: repetitive, physical, structured, high-volume, and easy to measure. Figure’s F.03 ran a 200-hour public sorting test and handled nearly 250,000 parcels. RobotEra’s system is being used for parcel feeding, package orientation, and exception handling, with peak throughput reported around 1,200 parcels per hour. The demand side is obvious. China handled nearly 199 billion express parcels in 2025. Guangzhou alone processed about 21.9 billion parcels, more than enough to turn sorting into a brutal labor and throughput problem. The U.S. has a different pressure point. Parcel volume is smaller, but warehouse labor is much more expensive, so a robot that can work long repetitive shifts has a cleaner ROI story if uptime, maintenance, and deployment cost hold up. The hard part is not the demo. It is barcode orientation, soft bags, crushed boxes, recovery after errors, battery swaps, fleet coordination, and keeping the line moving when nobody is filming. Sorting is still only one link in logistics. The bigger test is whether these robots can move from conveyor work into loading, unloading, picking, exception handling, and eventually the last mile — where the environment stops being friendly. That is the real question now. Not whether humanoids can sort packages, but whether they can earn the next job after sorting.

RoboHub🤖

37,493 просмотров • 2 месяцев назад

Our livestream has wrapped—and the final result is in: 1,816 randomly selected parcels sorted per hour, with a success rate of over 98%. Since the beginning of this year, we’ve worked through the entire loop—from collecting real-world data and training the model to continuously testing and refining the system. We often ask ourselves why we remain committed to a purpose-built gripper. The answer is simple: not for hype, and not for a demo, but for real-world deployment. Our goal is to deliver high efficiency at a lower cost. Some jobs are dirty, dull, and dangerous. We want robots to take on more of that work, so people can focus on what is safer, more creative, and more meaningful. We’ll showcase the complete logistics sorting line live at WRC. Visit us in Hall C, Booth 107, and see it in action!

Our livestream has wrapped—and the final result is in: 1,816 randomly selected parcels sorted per hour, with a success rate of over 98%. Since the beginning of this year, we’ve worked through the entire loop—from collecting real-world data and training the model to continuously testing and refining the system. We often ask ourselves why we remain committed to a purpose-built gripper. The answer is simple: not for hype, and not for a demo, but for real-world deployment. Our goal is to deliver high efficiency at a lower cost. Some jobs are dirty, dull, and dangerous. We want robots to take on more of that work, so people can focus on what is safer, more creative, and more meaningful. We’ll showcase the complete logistics sorting line live at WRC. Visit us in Hall C, Booth 107, and see it in action!

X Square Robot

726,499 просмотров • 5 дней назад

Yesterday The Sameer Project did a special initiative. We delivered 150 food parcels, some including fresh vegetables, to families that have severely ill members and need nutritious food to fight their diseases and survive. The Ensan camp in Deir Al Balah homes cancer patients and those experiencing kidney failure. These individuals must remain physically strong to endure their treatments, when they are even available in Gaza. Each parcel was $52 after commission, while the toughest cases received parcels that were an additional $125 after commission, demonstrating just how expensive fresh food is now. Each $52 parcel contained: 2 cans of green peas, 2 cans of chickpeas, 2 cans of beans, 1 bottle of sauce, 1 kilo of lentils, 1 kilo of rice, 1 liter of cooking oil. We sourced: tomatoes, cucumbers, eggplant, courgettes, peppers, lemons, potatoes, spinach, and cauliflower for the 10 most serious cases. Bringing the total for these parcels up to $125. But this distribution was extra special to us because it was to honor the memory of two of our volunteers’ mother who passed away from cancer. She is so proud of her M boys that work tirelessly to support Gaza and contribute so much to the operations of The Sameer Project. Rest in beautiful Paradise, Shaheen ❤️

Yesterday The Sameer Project did a special initiative. We delivered 150 food parcels, some including fresh vegetables, to families that have severely ill members and need nutritious food to fight their diseases and survive. The Ensan camp in Deir Al Balah homes cancer patients and those experiencing kidney failure. These individuals must remain physically strong to endure their treatments, when they are even available in Gaza. Each parcel was $52 after commission, while the toughest cases received parcels that were an additional $125 after commission, demonstrating just how expensive fresh food is now. Each $52 parcel contained: 2 cans of green peas, 2 cans of chickpeas, 2 cans of beans, 1 bottle of sauce, 1 kilo of lentils, 1 kilo of rice, 1 liter of cooking oil. We sourced: tomatoes, cucumbers, eggplant, courgettes, peppers, lemons, potatoes, spinach, and cauliflower for the 10 most serious cases. Bringing the total for these parcels up to $125. But this distribution was extra special to us because it was to honor the memory of two of our volunteers’ mother who passed away from cancer. She is so proud of her M boys that work tirelessly to support Gaza and contribute so much to the operations of The Sameer Project. Rest in beautiful Paradise, Shaheen ❤️

The Sameer Project

65,506 просмотров • 1 год назад

I posted that I built a land acquisition intelligence platform that looks at 1.5M parcels of land across the I-85 corridor for data center and industrial conversion potential. My DMs blew up, had over 130 real estate folks reach out. So I wanted to walk through some of my favorite features in the product, and show you the UI we built. ALL of this was done with Claude code. 1/ A full-screen map explorer rendering 1.5M parcels as vector tiles across 14 North Carolina counties. Click any parcel and get zoning, ownership, tax history, and acreage instantly. 2/ Proximity scoring to every I-85 interchange, power substation, transmission line, and gas pipeline. The parcels closest to infrastructure light up first. 3/ A farmland confidence score (0-100) that cross-references tax programs, land use codes, and acreage heuristics so you're not wasting time on parcels that look like farmland but aren't. 4/ A motivated seller detection engine that flags out-of-state owners, estates and trusts, tax delinquency, long hold periods, and declining assessed values. The sellers most likely to pick up the phone. 5/ Conversion readiness scoring that measures how likely a parcel is to get rezoned for industrial use based on what's already been approved around it. 6/ A composite acquisition score (0-100) with configurable weights. Every fund has different criteria. Drag the sliders and the entire map re-ranks in real time. 7/ Active listing integration pulling 2,100 listings from public sources so you can see what's already on the market alongside off-market opportunities. 8/ A document generation suite that produces institutional-grade investment memos, slide decks, and automated intelligence briefs. Click a parcel, click export, hand it to your investment committee. 9/ Alert monitoring for zoning changes, ownership transfers, and new listings that match your criteria. The platform watches the corridor so your team doesn't have to. Happy to record a longer video when I'm done.

I posted that I built a land acquisition intelligence platform that looks at 1.5M parcels of land across the I-85 corridor for data center and industrial conversion potential. My DMs blew up, had over 130 real estate folks reach out. So I wanted to walk through some of my favorite features in the product, and show you the UI we built. ALL of this was done with Claude code. 1/ A full-screen map explorer rendering 1.5M parcels as vector tiles across 14 North Carolina counties. Click any parcel and get zoning, ownership, tax history, and acreage instantly. 2/ Proximity scoring to every I-85 interchange, power substation, transmission line, and gas pipeline. The parcels closest to infrastructure light up first. 3/ A farmland confidence score (0-100) that cross-references tax programs, land use codes, and acreage heuristics so you're not wasting time on parcels that look like farmland but aren't. 4/ A motivated seller detection engine that flags out-of-state owners, estates and trusts, tax delinquency, long hold periods, and declining assessed values. The sellers most likely to pick up the phone. 5/ Conversion readiness scoring that measures how likely a parcel is to get rezoned for industrial use based on what's already been approved around it. 6/ A composite acquisition score (0-100) with configurable weights. Every fund has different criteria. Drag the sliders and the entire map re-ranks in real time. 7/ Active listing integration pulling 2,100 listings from public sources so you can see what's already on the market alongside off-market opportunities. 8/ A document generation suite that produces institutional-grade investment memos, slide decks, and automated intelligence briefs. Click a parcel, click export, hand it to your investment committee. 9/ Alert monitoring for zoning changes, ownership transfers, and new listings that match your criteria. The platform watches the corridor so your team doesn't have to. Happy to record a longer video when I'm done.

Todd Saunders

86,760 просмотров • 5 месяцев назад

Figure AI, a 🇺🇸US humanoid robot startup, has ignited debate over robot commercialisation on industrial sites by livestreaming on YouTube a humanoid robot deployed at a logistics warehouse sorting packages non-stop for more than 81 hours, while it processed more than 100,000 packages. “Jim” visually recognizes boxes, identifies the orientation of labels, and moves them to designated locations—making all judgments using only its internal computer. It works autonomously without remote control. Expert opinions are divided. One expert described the demonstration as "closer to a science project than a fully commercial service." She cited accuracy as the biggest challenge, noting that scenes throughout the video showed the robot failing to place parcels in precise locations. Some point out that in actual logistics environments, precision matters more than speed, and areas such as handling exceptions or communication between workers remain difficult for robots at this stage. While the robot's sustainability in simple, repetitive tasks has been confirmed, additional verification remains before broad commercialization, observers said. When commercialised, Figure AI robots are expected to cost from $30,000 per unit.

Figure AI, a 🇺🇸US humanoid robot startup, has ignited debate over robot commercialisation on industrial sites by livestreaming on YouTube a humanoid robot deployed at a logistics warehouse sorting packages non-stop for more than 81 hours, while it processed more than 100,000 packages. “Jim” visually recognizes boxes, identifies the orientation of labels, and moves them to designated locations—making all judgments using only its internal computer. It works autonomously without remote control. Expert opinions are divided. One expert described the demonstration as "closer to a science project than a fully commercial service." She cited accuracy as the biggest challenge, noting that scenes throughout the video showed the robot failing to place parcels in precise locations. Some point out that in actual logistics environments, precision matters more than speed, and areas such as handling exceptions or communication between workers remain difficult for robots at this stage. While the robot's sustainability in simple, repetitive tasks has been confirmed, additional verification remains before broad commercialization, observers said. When commercialised, Figure AI robots are expected to cost from $30,000 per unit.

Dovydas Vitkauskas

21,911 просмотров • 3 месяцев назад

X Square Robot Unveils New Embodied AI Model, Says Robots Will Arrive in Homes in 35 Days Backed by Alibaba, ByteDance, Xiaomi and Meituan, X Square Robot unveiled a next-generation embodied AI foundation model for home robots and said its first deployments in everyday households will begin within 35 days. X Square Robot on Tuesday unveiled WALL-B, a new embodied AI foundation model designed for deployment in real-world homes, marking what the company described as a major step toward bringing general-purpose robots into daily family life. At a launch event themed "Born to Bot, Bot to Family," the company also introduced its World Unified Model (WUM) architecture, a training framework that combines vision, language, action and physical prediction within a single system from the outset. X Square said the model is intended to help robots operate in the far more unpredictable setting of a home, where tasks, layouts and interactions vary from moment to moment. "Robots in factories and in homes are completely different. In factories, they repeat the same action 10,000 times without variation. In a home, however, they need to perform 10,000 different actions, each unique and non-repetitive. Therefore, the challenge of a truly intelligent robot lies not in repeating a single action, but in the ability to execute new, untrained movements within unstructured environments. Deploying robots in the home is one of the most significant technical hurdles of our time," said Qian Wang, founder and CEO of X Square Robot. WALL-B is the first real-world implementation of the World Unified Model architecture. Unlike modular systems that train perception, language and control separately, X Square Robot said World Unified Model optimizes those capabilities jointly from the very beginning. The company said that allows physical prediction — including force, friction and collision dynamics — to emerge as part of the model itself, rather than being layered on afterward. "We train all capabilities—vision, language, action, and prediction—within the same network from day one. Much like infants, who do not learn to see, move and speak in isolated, sequential stages, but instead see, move listen and act simultaneously while receiving feedback, we have integrated all these capabilities into a unified whole," said Wang Hao, CTO of X Square. X Square Robot said the development of WALL-B rests on two pillars. The first is a data strategy that prioritizes training on authentic, non-staged home environments to cover the “long-tail” distribution of real-world scenarios, such as misplaced objects and temporary occlusions. Unlike models primarily trained on synthetic data or laboratory datasets, this strategy exposes WALL-B to the natural clutter of lived-in spaces—misplaced items, unexpected obstacles, and spontaneous human activity—ensuring that the training data reflects real-world conditions rather than a simplified version. The second is a physics-aware predictive mechanism that anticipates physical outcomes before an action is taken, enabling the model to respond to contact dynamics instead of just reacting. The development of the self-developed WUM architecture on physical robotic platforms highlights the company’s accumlated experience in bridging sim-to-real gaps across varied operational contexts. Wang commented that the current AI model is still in an "intern" stage, subject to errors requiring remote assistance. For instance, it may mistakenly place slippers in the kitchen or pause while wiping a table to "think". However, the model operates nonstop 24 hours a day, becoming increasingly "intelligent" as each day of operation generates new data. In 35 days, on May 25, X Square Robot will officially bring its robots into everyday homes, underscoring the company’s long-term commitment to the home robotics sector.

X Square Robot Unveils New Embodied AI Model, Says Robots Will Arrive in Homes in 35 Days Backed by Alibaba, ByteDance, Xiaomi and Meituan, X Square Robot unveiled a next-generation embodied AI foundation model for home robots and said its first deployments in everyday households will begin within 35 days. X Square Robot on Tuesday unveiled WALL-B, a new embodied AI foundation model designed for deployment in real-world homes, marking what the company described as a major step toward bringing general-purpose robots into daily family life. At a launch event themed "Born to Bot, Bot to Family," the company also introduced its World Unified Model (WUM) architecture, a training framework that combines vision, language, action and physical prediction within a single system from the outset. X Square said the model is intended to help robots operate in the far more unpredictable setting of a home, where tasks, layouts and interactions vary from moment to moment. "Robots in factories and in homes are completely different. In factories, they repeat the same action 10,000 times without variation. In a home, however, they need to perform 10,000 different actions, each unique and non-repetitive. Therefore, the challenge of a truly intelligent robot lies not in repeating a single action, but in the ability to execute new, untrained movements within unstructured environments. Deploying robots in the home is one of the most significant technical hurdles of our time," said Qian Wang, founder and CEO of X Square Robot. WALL-B is the first real-world implementation of the World Unified Model architecture. Unlike modular systems that train perception, language and control separately, X Square Robot said World Unified Model optimizes those capabilities jointly from the very beginning. The company said that allows physical prediction — including force, friction and collision dynamics — to emerge as part of the model itself, rather than being layered on afterward. "We train all capabilities—vision, language, action, and prediction—within the same network from day one. Much like infants, who do not learn to see, move and speak in isolated, sequential stages, but instead see, move listen and act simultaneously while receiving feedback, we have integrated all these capabilities into a unified whole," said Wang Hao, CTO of X Square. X Square Robot said the development of WALL-B rests on two pillars. The first is a data strategy that prioritizes training on authentic, non-staged home environments to cover the “long-tail” distribution of real-world scenarios, such as misplaced objects and temporary occlusions. Unlike models primarily trained on synthetic data or laboratory datasets, this strategy exposes WALL-B to the natural clutter of lived-in spaces—misplaced items, unexpected obstacles, and spontaneous human activity—ensuring that the training data reflects real-world conditions rather than a simplified version. The second is a physics-aware predictive mechanism that anticipates physical outcomes before an action is taken, enabling the model to respond to contact dynamics instead of just reacting. The development of the self-developed WUM architecture on physical robotic platforms highlights the company’s accumlated experience in bridging sim-to-real gaps across varied operational contexts. Wang commented that the current AI model is still in an "intern" stage, subject to errors requiring remote assistance. For instance, it may mistakenly place slippers in the kitchen or pause while wiping a table to "think". However, the model operates nonstop 24 hours a day, becoming increasingly "intelligent" as each day of operation generates new data. In 35 days, on May 25, X Square Robot will officially bring its robots into everyday homes, underscoring the company’s long-term commitment to the home robotics sector.

X Square Robot

52,968 просмотров • 3 месяцев назад

Eliud Kipchoge’s 1:59:40 marathon run is truly insane when you break down the numbers: ▫️4:35 per mile pace (the record for one mile is 3:43 and he kept the pace 26x) ▫️OR 2:50 per KM pace (he did it 42x and each kilometre was within 2:48 to 2:52) ▫️The average men’s marathon time for 5km is ~30 mins (Kipchoge’s 5km pace was 14:13 mins, which he did ~8x) ▫️The world record 10km run is 26:11 (Kipchoge’s 5km pace was 28:26 which he did ~4x) ▫️His 100m pace was 17 seconds, which he did 422x ▫️The 21km per hour pace (or 13 miles per hour) isn’t even available on some treadmills The sub-2 hour run — which was staged in Vienna in 2019 — is unreal but doesn’t count for marathon record purposes. Why? Because the event was optimized for Kipchoge: coaches brought him water and he had pacemakers (including a car laying down a laser beam). The human pacemakers might be my favourite part. They were 41 of the world’s top runners with >50 combined medals at Olympics and World Championships. All knew Kipchoge was the GOAT and chipped in. Kipchoge’s pace was so punishing that the pacemakers swapped in and out at 5-minute intervals. The best part — shown below — is when Kipchoge waves them off at the end and they cheer him on as he goes HAM to the finish line.

Eliud Kipchoge’s 1:59:40 marathon run is truly insane when you break down the numbers: ▫️4:35 per mile pace (the record for one mile is 3:43 and he kept the pace 26x) ▫️OR 2:50 per KM pace (he did it 42x and each kilometre was within 2:48 to 2:52) ▫️The average men’s marathon time for 5km is ~30 mins (Kipchoge’s 5km pace was 14:13 mins, which he did ~8x) ▫️The world record 10km run is 26:11 (Kipchoge’s 5km pace was 28:26 which he did ~4x) ▫️His 100m pace was 17 seconds, which he did 422x ▫️The 21km per hour pace (or 13 miles per hour) isn’t even available on some treadmills The sub-2 hour run — which was staged in Vienna in 2019 — is unreal but doesn’t count for marathon record purposes. Why? Because the event was optimized for Kipchoge: coaches brought him water and he had pacemakers (including a car laying down a laser beam). The human pacemakers might be my favourite part. They were 41 of the world’s top runners with >50 combined medals at Olympics and World Championships. All knew Kipchoge was the GOAT and chipped in. Kipchoge’s pace was so punishing that the pacemakers swapped in and out at 5-minute intervals. The best part — shown below — is when Kipchoge waves them off at the end and they cheer him on as he goes HAM to the finish line.

Trung Phan

3,089,288 просмотров • 2 лет назад

The future of home cleaning just landed in Shenzhen and it is walking right into your living room. 🤖🏠 X Square Robot and officially launched China’s first robot home service, moving embodied AI from the lab to your front door. When you book a cleaning on the app, a professional cleaner now shows up with an X Square robot partner to tag team the house. The human handles the tricky stuff that needs real judgment while the robot takes over repetitive tasks like wiping tables and tidying up surfaces. X Square is using an end to end foundation model which means the robot actually perceives and plans its own moves instead of just following a script. By testing in the messy reality of a real home, they are proving that if a robot can master a living room, it can handle almost any physical space. This pilot is part of a massive push to turn these machines into reliable partners that can actually assist in our daily lives.

The future of home cleaning just landed in Shenzhen and it is walking right into your living room. 🤖🏠 X Square Robot and officially launched China’s first robot home service, moving embodied AI from the lab to your front door. When you book a cleaning on the app, a professional cleaner now shows up with an X Square robot partner to tag team the house. The human handles the tricky stuff that needs real judgment while the robot takes over repetitive tasks like wiping tables and tidying up surfaces. X Square is using an end to end foundation model which means the robot actually perceives and plans its own moves instead of just following a script. By testing in the messy reality of a real home, they are proving that if a robot can master a living room, it can handle almost any physical space. This pilot is part of a massive push to turn these machines into reliable partners that can actually assist in our daily lives.

RoboHub🤖

101,350 просмотров • 5 месяцев назад

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

RoboHub🤖

16,818 просмотров • 3 месяцев назад

💥 The Future of Postal Services is Here! Last Thursday, October 30, 2025, @NIPOSTNigeria took a bold leap forward, unveiling a new digital postal era that puts citizens first and makes public service simpler, faster, and smarter. 🇳🇬 Under the visionary leadership of President Bola Ahmed Tinubu, GCFR, Bola Ahmed Tinubu and the dynamic guidance of Dr. ‘Bosun Tijani, Dr. 'Bosun Tijani Honourable Minister of Fed. Min. of Comms, Innovation & Digital Economy we’re reimagining postal services for a Nigeria that thrives on innovation and trust. 🌍💫 Through this groundbreaking collaboration, we’re integrating technology and logistics to remove every old frustration: 💳 Paystack : Instant, secure online payment for customs duties. 📦 sendbox_ng : Real-time tracking so you know exactly where your parcel is. 🚚 Messenger.ng : Seamless doorstep delivery, no more post office queues. For the customer, this means: ✅ No hidden charges, you get notified instantly when duties are assessed. ✅ No delays, pay online from anywhere and get your parcel faster. ✅ Full transparency, track your item every step of the way. ✅ More trust, less stress, because government service should work for you. This is more than convenience. It’s about restoring confidence, improving transparency, and delivering renewed hope to every Nigerian. As Postmaster General, I’m proud to lead this transformation, where legacy meets innovation, and public service meets fintech efficiency. @NIPOSTNigeria is evolving, from letters to logistics to a digitally-driven ecosystem that connects Nigeria and empowers its people. 🚀 Together, we’re not just delivering parcels. We’re delivering trust, innovation, and a smarter future. #RenewedHope #NIPOST

💥 The Future of Postal Services is Here! Last Thursday, October 30, 2025, @NIPOSTNigeria took a bold leap forward, unveiling a new digital postal era that puts citizens first and makes public service simpler, faster, and smarter. 🇳🇬 Under the visionary leadership of President Bola Ahmed Tinubu, GCFR, Bola Ahmed Tinubu and the dynamic guidance of Dr. ‘Bosun Tijani, Dr. 'Bosun Tijani Honourable Minister of Fed. Min. of Comms, Innovation & Digital Economy we’re reimagining postal services for a Nigeria that thrives on innovation and trust. 🌍💫 Through this groundbreaking collaboration, we’re integrating technology and logistics to remove every old frustration: 💳 Paystack : Instant, secure online payment for customs duties. 📦 sendbox_ng : Real-time tracking so you know exactly where your parcel is. 🚚 Messenger.ng : Seamless doorstep delivery, no more post office queues. For the customer, this means: ✅ No hidden charges, you get notified instantly when duties are assessed. ✅ No delays, pay online from anywhere and get your parcel faster. ✅ Full transparency, track your item every step of the way. ✅ More trust, less stress, because government service should work for you. This is more than convenience. It’s about restoring confidence, improving transparency, and delivering renewed hope to every Nigerian. As Postmaster General, I’m proud to lead this transformation, where legacy meets innovation, and public service meets fintech efficiency. @NIPOSTNigeria is evolving, from letters to logistics to a digitally-driven ecosystem that connects Nigeria and empowers its people. 🚀 Together, we’re not just delivering parcels. We’re delivering trust, innovation, and a smarter future. #RenewedHope #NIPOST

Tola Odeyemi

147,363 просмотров • 9 месяцев назад

Vietnam cut poverty from 70% to under 2% while the Communist Party stayed in total control. After reunification they ran a fully centralized economy and got famine. In 1986 the Party launched Đổi Mới, broke up the collective farms, and let households keep what they grew. They opened the country to foreign investment and private business. GDP per capita went from under $700 to nearly $4,500 and growth averaged over 6% a year for more than 3 decades. One of the fastest poverty reductions in modern history came from reducing central planning, not expanding it. Commies can prevent starvation simply by not doing commie things. Every poor country that still refuses to do this is choosing the famine.

Vietnam cut poverty from 70% to under 2% while the Communist Party stayed in total control. After reunification they ran a fully centralized economy and got famine. In 1986 the Party launched Đổi Mới, broke up the collective farms, and let households keep what they grew. They opened the country to foreign investment and private business. GDP per capita went from under $700 to nearly $4,500 and growth averaged over 6% a year for more than 3 decades. One of the fastest poverty reductions in modern history came from reducing central planning, not expanding it. Commies can prevent starvation simply by not doing commie things. Every poor country that still refuses to do this is choosing the famine.

Rothmus 🏴

231,770 просмотров • 24 дней назад

X Square Robot just closed its Series C at a valuation above RMB 20 billion, about $2.8 billion 🤖 IDG came into this round. The bigger signal is the cap table. HongShan and Xiaomi were already in across earlier rounds, while Meituan, Alibaba, ByteDance, and Xiaomi have each led rounds at different stages. That puts X Square in a rare position for an embodied AI company: top-tier financial capital on one side, and four of China’s biggest tech platforms on the other. This is not just a money story. Meituan, Alibaba, ByteDance, and Xiaomi bring very different strategic assets: real-world scenarios, cloud infrastructure, consumer traffic, supply chains, and hardware ecosystems. The deployment side is already moving: robot home-cleaning services first, then a “Robots Into Homes” program with the first batch entering real households. The model stack is worth watching too. X Square has open-sourced WALL-OSS-0.5 for robot manipulation and WALL-WM for world modeling. WALL-OSS-0.5 showed strong real-robot performance without post-training, while WALL-WM uses event-level prediction to align language, vision, and action around meaningful physical-world events. They are also building a model-driven data pipeline for large-scale collection, cleaning, annotation, quality control, and augmentation. That matters because home robotics dies in the long tail: weird rooms, messy objects, bad lighting, and tasks that never look the same twice. Founded in 2023, X Square is building general-purpose embodied AI robots and foundation models for real-world environments, tying models, robot hardware, high-precision manipulation, data, and deployment into one system.

X Square Robot just closed its Series C at a valuation above RMB 20 billion, about $2.8 billion 🤖 IDG came into this round. The bigger signal is the cap table. HongShan and Xiaomi were already in across earlier rounds, while Meituan, Alibaba, ByteDance, and Xiaomi have each led rounds at different stages. That puts X Square in a rare position for an embodied AI company: top-tier financial capital on one side, and four of China’s biggest tech platforms on the other. This is not just a money story. Meituan, Alibaba, ByteDance, and Xiaomi bring very different strategic assets: real-world scenarios, cloud infrastructure, consumer traffic, supply chains, and hardware ecosystems. The deployment side is already moving: robot home-cleaning services first, then a “Robots Into Homes” program with the first batch entering real households. The model stack is worth watching too. X Square has open-sourced WALL-OSS-0.5 for robot manipulation and WALL-WM for world modeling. WALL-OSS-0.5 showed strong real-robot performance without post-training, while WALL-WM uses event-level prediction to align language, vision, and action around meaningful physical-world events. They are also building a model-driven data pipeline for large-scale collection, cleaning, annotation, quality control, and augmentation. That matters because home robotics dies in the long tail: weird rooms, messy objects, bad lighting, and tasks that never look the same twice. Founded in 2023, X Square is building general-purpose embodied AI robots and foundation models for real-world environments, tying models, robot hardware, high-precision manipulation, data, and deployment into one system.

RoboHub🤖

12,975 просмотров • 1 месяц назад

Russia's national postal service, "Russian Post" has reached a breaking point. Deliveries are no longer being made or taking 2-3 times longer due to a shortage of employees. People are waiting at least a month for letters and parcels, which are piling up in branches, there's no one to deliver them. According to Russia's Mash outlet, drivers are massively leaving the company, following operators and supervisors. The reasons are the same, long 12-hour shifts + fines + overtime + unlibable salary levels. Boxes are gathering dust in branches for weeks — there's no one to transport them to sorting centers. Vehicles don't go on routes, and deliveries are often canceled or rescheduled. The situation is even worse in regions, after switching to a reduced work schedule, workers' salaries were cut to 11–24k rubles. Nobody wants to work for such money. Employees across Russia are leaving for private companies and marketplaces with salaries two to three times higher.

Russia's national postal service, "Russian Post" has reached a breaking point. Deliveries are no longer being made or taking 2-3 times longer due to a shortage of employees. People are waiting at least a month for letters and parcels, which are piling up in branches, there's no one to deliver them. According to Russia's Mash outlet, drivers are massively leaving the company, following operators and supervisors. The reasons are the same, long 12-hour shifts + fines + overtime + unlibable salary levels. Boxes are gathering dust in branches for weeks — there's no one to transport them to sorting centers. Vehicles don't go on routes, and deliveries are often canceled or rescheduled. The situation is even worse in regions, after switching to a reduced work schedule, workers' salaries were cut to 11–24k rubles. Nobody wants to work for such money. Employees across Russia are leaving for private companies and marketplaces with salaries two to three times higher.

Jay in Kyiv

29,796 просмотров • 6 месяцев назад

One of the patients that The Sameer Project had supported continuously was little Saadallah who sadly passed away last December from malnourishment. Eight months later, and in more dire times, his only brother is also malnourished. Help us support malnutrition cases: This mother had the pain of losing her baby, and now the stress and fear of seeing her older son suffer from the lack of food. The Sameer Project visited the now family of 3 to provide nutritional support. We gave a vegetable parcel for $114 including 10% bank transfer fees, tuna for $15 per can after 45% cash commission, and red and green nutritional suppliants ranging from $2.5-$12 each. And we will of course be back to supply this family with more as one visit does not help a child get out of the grips of malnutrition caused by a man-made famine. We miss Saadallah and will support his family who are still mourning his loss. Thank you for allowing us to assist through our Medical Campaign. Other ways to donate include: (Paypal option, please make sure to add a message saying "Medical") (Venmo option, please make sure to add a message saying "Medical")

One of the patients that The Sameer Project had supported continuously was little Saadallah who sadly passed away last December from malnourishment. Eight months later, and in more dire times, his only brother is also malnourished. Help us support malnutrition cases: This mother had the pain of losing her baby, and now the stress and fear of seeing her older son suffer from the lack of food. The Sameer Project visited the now family of 3 to provide nutritional support. We gave a vegetable parcel for $114 including 10% bank transfer fees, tuna for $15 per can after 45% cash commission, and red and green nutritional suppliants ranging from $2.5-$12 each. And we will of course be back to supply this family with more as one visit does not help a child get out of the grips of malnutrition caused by a man-made famine. We miss Saadallah and will support his family who are still mourning his loss. Thank you for allowing us to assist through our Medical Campaign. Other ways to donate include: (Paypal option, please make sure to add a message saying "Medical") (Venmo option, please make sure to add a message saying "Medical")

The Sameer Project

25,928 просмотров • 1 год назад

claude playing TFT -- i ran it for two games and it improved in-context from 0 to 3/30 rounds won. it figured out "3-starring" on its own (buying pairs to upgrade units) which is a core mechanic of this game and hasnt been instructed on how to play besides asking it to "play tft and win" comparing this cua agent to OpenAI Five's result from 2017 which is a different game, model(a big LSTM), had access to Dota's API outputted a discrete action at 4.6hz this cua agent runs at 0.15hz considering it takes anywhere from 2-15 seconds to think(0.07hz without), and is just pixels in, any mouse/keyboard out... and (potentially) wasnt trained on TFT specifically but not sure despite this 2-15s seems to be fine for a turned based game like TFT but in prior videos like league/minecraft is considerably harder for a cua agent to do since by the time you take a screenshot the game state may have changed and you've wasted 7 seconds thinking, and another 7 seconds thinking about the new game state, and catastrophically failing like that. the intention here is not to play TFT or league with a bot. please dont use it as such

claude playing TFT -- i ran it for two games and it improved in-context from 0 to 3/30 rounds won. it figured out "3-starring" on its own (buying pairs to upgrade units) which is a core mechanic of this game and hasnt been instructed on how to play besides asking it to "play tft and win" comparing this cua agent to OpenAI Five's result from 2017 which is a different game, model(a big LSTM), had access to Dota's API outputted a discrete action at 4.6hz this cua agent runs at 0.15hz considering it takes anywhere from 2-15 seconds to think(0.07hz without), and is just pixels in, any mouse/keyboard out... and (potentially) wasnt trained on TFT specifically but not sure despite this 2-15s seems to be fine for a turned based game like TFT but in prior videos like league/minecraft is considerably harder for a cua agent to do since by the time you take a screenshot the game state may have changed and you've wasted 7 seconds thinking, and another 7 seconds thinking about the new game state, and catastrophically failing like that. the intention here is not to play TFT or league with a bot. please dont use it as such

Surya

222,132 просмотров • 8 месяцев назад

Amidst the constant bombing of the last month, we continued to have a ground presence in the North. People were dying from airstrikes, rubble collapsing, bullets, and hunger. We remained serving the communities of tents and shelters, those that stayed, helping them fend off starvation. Despite nearly losing all the food parcels to a bombing and fire, Translating Falasteen (Translating Falasteen (Palestine)) x The Sameer Project distributed 250 food packages at al-Katiba Camp (Konia) at al-Rimal neighborhood in Gaza City on September 22. Each parcel contained 1 liter of cooking oil + 1 extra meat + 2 cans of luncheon + 2 cans of tuna + 1 kilo of rice + 1 kilo of sugar + 2 packs of triangle cheese + 2 cans of feta cheese + 400 grams of tahini. Each bag of staples cost $66 after 11% banking commission. We hope to see prices of items going down after trucks enter Gaza over the next 72 hours. Not all the goods coming in will be free aid, some of it will be commercial and sold in the markets. Help us continue to source and purchase items and provide for the North. The campaign link is in our bio. Other ways to donate include: (Paypal option, please make sure to add a message saying "North aid") (Venmo option, please make sure to add a message saying "North aid")

Amidst the constant bombing of the last month, we continued to have a ground presence in the North. People were dying from airstrikes, rubble collapsing, bullets, and hunger. We remained serving the communities of tents and shelters, those that stayed, helping them fend off starvation. Despite nearly losing all the food parcels to a bombing and fire, Translating Falasteen (Translating Falasteen (Palestine)) x The Sameer Project distributed 250 food packages at al-Katiba Camp (Konia) at al-Rimal neighborhood in Gaza City on September 22. Each parcel contained 1 liter of cooking oil + 1 extra meat + 2 cans of luncheon + 2 cans of tuna + 1 kilo of rice + 1 kilo of sugar + 2 packs of triangle cheese + 2 cans of feta cheese + 400 grams of tahini. Each bag of staples cost $66 after 11% banking commission. We hope to see prices of items going down after trucks enter Gaza over the next 72 hours. Not all the goods coming in will be free aid, some of it will be commercial and sold in the markets. Help us continue to source and purchase items and provide for the North. The campaign link is in our bio. Other ways to donate include: (Paypal option, please make sure to add a message saying "North aid") (Venmo option, please make sure to add a message saying "North aid")

The Sameer Project

30,374 просмотров • 10 месяцев назад

This trader used Claude to build a Quant Bot and made +$496,820 on Polymarket Since Apr 5, this wallet has been bringing in about $4,284 per day and running at roughly 36 trades per hour 100,202 predictions in 116 days with a 48% win rate How does an account with a sub-50% win rate still put up nearly $500,000 in PnL? The setup is pretty clear: 1. It operates almost entirely in short crypto “Up / Down” markets and trades them with very fast execution 2. The system looks built around temporal arbitrage, hedged directional exposure, near-resolution capture, and inventory rotation 3. It accumulates one side when probabilities get pushed too far, then completes or rebalances the structure later if the other side offers a cleaner hedge This trader’s Polymarket account: Ox5Of7 Most profitable trades: $205 → $8,905 (+$8,701 +4,254.5%) $89 → $8,434 (+$8,345 +9,378.7%) $21,793 → $29,754 (+$7,961 +36.5%) Its PnL comes from continuously rebuilding and rebalancing the same setup across more than 100,000 short-market entries

This trader used Claude to build a Quant Bot and made +$496,820 on Polymarket Since Apr 5, this wallet has been bringing in about $4,284 per day and running at roughly 36 trades per hour 100,202 predictions in 116 days with a 48% win rate How does an account with a sub-50% win rate still put up nearly $500,000 in PnL? The setup is pretty clear: 1. It operates almost entirely in short crypto “Up / Down” markets and trades them with very fast execution 2. The system looks built around temporal arbitrage, hedged directional exposure, near-resolution capture, and inventory rotation 3. It accumulates one side when probabilities get pushed too far, then completes or rebalances the structure later if the other side offers a cleaner hedge This trader’s Polymarket account: Ox5Of7 Most profitable trades: $205 → $8,905 (+$8,701 +4,254.5%) $89 → $8,434 (+$8,345 +9,378.7%) $21,793 → $29,754 (+$7,961 +36.5%) Its PnL comes from continuously rebuilding and rebalancing the same setup across more than 100,000 short-market entries

Daniro

22,357 просмотров • 19 дней назад

It still blows my mind that we can create promo videos for brands in 1 hour. I recently worked with an upcoming fabric brand to integrate AI into their processes. Feeling confident in the tools, I thought, "Why not draft up a promo video with them?" I selected a few images from their website, generated more to fit the theme, and ran them through Image-2-Video in Runway. One hour later, we had a promo video. 🤯 A year ago, something like this would have never occurred due to the logistics and resources needed to do such a project. Now, they can put 3 creatives on a project like this, create multiple videos, and run test ads on socials to see which performs best. All in a matter of hours and days.

Nicolas Neubert

153,305 просмотров • 2 лет назад