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Before the half marathon even starts, these robots already went through a full obstacle test in Beijing today. 🤖 The April 18 Warrior Challenge wasn’t about speed. It was a structured test of real-world capability under defined rules. The event was split into four categories: general obstacles, humanoid-only events,...

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RoboHub🤖

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21,311 görüntüleme • 2 ay önce •via X (Twitter)

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TienKung Ultra finished the full 21.0975 km in 1:15:00 — fully autonomous, zero human intervention. 🤖 No repeat win this time. But it was easily one of the most striking robots on the course — clean gait, stable motion, and the most human-like running form out there. It took home the “Best Design” award, and that actually says more than the podium this time. Because this isn’t a marathon-only build. TienKung Ultra is a general-purpose humanoid, already moving toward real-world deployment. And it didn’t show up alone. Teams from Peking University, Fudan, HUST, BIT, Beihang, HKUST(GZ), TUM and more were all building on the same TienKung platform. That’s what an open ecosystem looks like — shared hardware, shared stack, different solutions on top. And just a day before, it took the Robot Warrior Challenge — fully autonomous through obstacle tasks modeled on real-world rescue and hazardous operations. That’s the part that matters. This is no longer just about speed. It’s about autonomy — and whether these systems can actually handle real environments. That’s what future winners are going to look like.
0:38

TienKung Ultra finished the full 21.0975 km in 1:15:00 — fully autonomous, zero human intervention. 🤖 No repeat win this time. But it was easily one of the most striking robots on the course — clean gait, stable motion, and the most human-like running form out there. It took home the “Best Design” award, and that actually says more than the podium this time. Because this isn’t a marathon-only build. TienKung Ultra is a general-purpose humanoid, already moving toward real-world deployment. And it didn’t show up alone. Teams from Peking University, Fudan, HUST, BIT, Beihang, HKUST(GZ), TUM and more were all building on the same TienKung platform. That’s what an open ecosystem looks like — shared hardware, shared stack, different solutions on top. And just a day before, it took the Robot Warrior Challenge — fully autonomous through obstacle tasks modeled on real-world rescue and hazardous operations. That’s the part that matters. This is no longer just about speed. It’s about autonomy — and whether these systems can actually handle real environments. That’s what future winners are going to look like.

RoboHub🤖

224,532 görüntüleme • 2 ay önce

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.
2:50

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.

RoboHub🤖

209,428 görüntüleme • 3 ay önce

Beijing E-Town Humanoid Robot Half-Marathon is tomorrow, April 19, 2026. - Bipedal only - “We are not a car!” - Over 300 humanoid robots from 76+ teams (nearly 5× last year) - ~40% will run fully autonomous - Height limit: 2 ft 6 in – 5 ft 11 in Key Rules - 20% penalty added to finish time (×1.2), if not autonomous - Time penalties for battery swaps or full robot replacements The event runs on the same 21.1 km (13.1 miles) course as the human half-marathon, with humans and robots separated by barriers. Gimpse of practice runs:
0:40

Beijing E-Town Humanoid Robot Half-Marathon is tomorrow, April 19, 2026. - Bipedal only - “We are not a car!” - Over 300 humanoid robots from 76+ teams (nearly 5× last year) - ~40% will run fully autonomous - Height limit: 2 ft 6 in – 5 ft 11 in Key Rules - 20% penalty added to finish time (×1.2), if not autonomous - Time penalties for battery swaps or full robot replacements The event runs on the same 21.1 km (13.1 miles) course as the human half-marathon, with humans and robots separated by barriers. Gimpse of practice runs:

The Humanoid Hub

67,952 görüntüleme • 2 ay önce

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.
0:25

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 görüntüleme • 2 ay önce

Beijing hosts world’s first humanoid robot games | Ariana News The world’s inaugural humanoid robot competition is underway in Beijing, drawing more than 500 robots from 280 teams across 16 countries to compete in a uniquely futuristic sporting spectacle. The three-day event, held at the National Speed Skating Oval—once the “Ice Ribbon” of the 2022 Winter Olympics—kicked off on August 15 and runs through to Sunday August 17. The tournament features 26 events spread across athletic, performance, and scenario-based categories. Athletic challenges include sprinting, soccer, and kickboxing, while performance segments showcase robot dance routines and musical instrument displays. Real-world scenarios, such as medication sorting, cleaning tasks, and industrial material handling, are also on the agenda to test practical functionality. Organizers meanwhile emphasize the event’s role in accelerating the integration of humanoid robots into everyday life, from manufacturing and hospitality to healthcare. One Chinese official summed it up: “Every robot that participates is creating history.” The competition has yielded both triumphant strides and technical stumbling blocks. In running events, the robot H1 from Unitree Robotics claimed top honors in the 1,500-meter race, demonstrating promising agility. Yet, many robots struggled with balance, coordination, and task execution, including some collapsing mid-sprint or requiring human help to stand—underscoring the still-developing nature of embodied artificial intelligence.
1:19

Beijing hosts world’s first humanoid robot games | Ariana News The world’s inaugural humanoid robot competition is underway in Beijing, drawing more than 500 robots from 280 teams across 16 countries to compete in a uniquely futuristic sporting spectacle. The three-day event, held at the National Speed Skating Oval—once the “Ice Ribbon” of the 2022 Winter Olympics—kicked off on August 15 and runs through to Sunday August 17. The tournament features 26 events spread across athletic, performance, and scenario-based categories. Athletic challenges include sprinting, soccer, and kickboxing, while performance segments showcase robot dance routines and musical instrument displays. Real-world scenarios, such as medication sorting, cleaning tasks, and industrial material handling, are also on the agenda to test practical functionality. Organizers meanwhile emphasize the event’s role in accelerating the integration of humanoid robots into everyday life, from manufacturing and hospitality to healthcare. One Chinese official summed it up: “Every robot that participates is creating history.” The competition has yielded both triumphant strides and technical stumbling blocks. In running events, the robot H1 from Unitree Robotics claimed top honors in the 1,500-meter race, demonstrating promising agility. Yet, many robots struggled with balance, coordination, and task execution, including some collapsing mid-sprint or requiring human help to stand—underscoring the still-developing nature of embodied artificial intelligence.

Owen Gregorian

43,158 görüntüleme • 11 ay önce

This situation has been building for the past year and a half. The Flight Duty Time Limitation (FDTL) regulations issued by the DGCA were first notified in January 2024 (or March 2024). Airlines had more than enough time to adapt to these guidelines, and we believe they are important. But what was the DGCA doing all this time, given that it was responsible for enforcing the rules and ensuring that airlines complied over the last two years? These are its own guidelines, and it knew that a major airline—practically a monopoly/duopoly in the country—was not prepared. What was the Ministry doing, fully aware that this crisis was inevitable? It is not as if they were unaware. Yet the entire country was pushed into chaos, and all of this happened at a time when the President of Russia was visiting India. On one hand, they showcase Viksit Bharat; on the other, this is the reality unfolding before the world. : Sasikanth Senthil ji
2:38

This situation has been building for the past year and a half. The Flight Duty Time Limitation (FDTL) regulations issued by the DGCA were first notified in January 2024 (or March 2024). Airlines had more than enough time to adapt to these guidelines, and we believe they are important. But what was the DGCA doing all this time, given that it was responsible for enforcing the rules and ensuring that airlines complied over the last two years? These are its own guidelines, and it knew that a major airline—practically a monopoly/duopoly in the country—was not prepared. What was the Ministry doing, fully aware that this crisis was inevitable? It is not as if they were unaware. Yet the entire country was pushed into chaos, and all of this happened at a time when the President of Russia was visiting India. On one hand, they showcase Viksit Bharat; on the other, this is the reality unfolding before the world. : Sasikanth Senthil ji

Congress

11,126 görüntüleme • 7 ay önce

Ran 21 km (13.1 miles) — and the motor was still cold. That’s the detail that matters. 🤖 Honor was the clear dark horse in this year’s robot half marathon. They swept 1st, 2nd, and 3rd, and also posted a strong top-6 finish overall. What stands out to me is that this was not just about bigger motors, or a gait tuned for long-distance running. They seem to have solved something more important — cooling. In a post-race interview, Honor engineers said the robot used liquid-cooling tech adapted from Honor smartphones, with cooling lines running deep into the motor system to carry heat away. Some reports added more detail: the setup used two high-speed micro pumps, with flow rates reaching up to 6 liters per minute, giving the system enough cooling capacity to handle sustained lower-joint motor load. That matters because once a robot starts overheating, output drops, stability goes with it, and the whole run can fall apart fast. And that’s exactly why this detail is interesting. Of course, that does not mean Honor has already surpassed teams like TienKung or Unitree across humanoid robotics as a whole. What it does suggest is that for the marathon task, they built a very strong system solution. And honestly, that alone is already a useful case for the industry. The bigger trend is moving fast. Last year, TienKung won in around 2 hours 40 minutes. This year, the winning time dropped to 50 minutes 26 seconds. Last year, most robots were still fully remote-controlled or only semi-autonomous. This year, around 40% were running with a much higher level of autonomy. So to me, the real signal is not just that robots got faster. It’s that the field is now moving past raw speed, and into the harder problems: autonomy, stability, and system reliability under load. If the pace of progress stays anywhere close to this, then next year’s race should be even more worth watching.
0:31

Ran 21 km (13.1 miles) — and the motor was still cold. That’s the detail that matters. 🤖 Honor was the clear dark horse in this year’s robot half marathon. They swept 1st, 2nd, and 3rd, and also posted a strong top-6 finish overall. What stands out to me is that this was not just about bigger motors, or a gait tuned for long-distance running. They seem to have solved something more important — cooling. In a post-race interview, Honor engineers said the robot used liquid-cooling tech adapted from Honor smartphones, with cooling lines running deep into the motor system to carry heat away. Some reports added more detail: the setup used two high-speed micro pumps, with flow rates reaching up to 6 liters per minute, giving the system enough cooling capacity to handle sustained lower-joint motor load. That matters because once a robot starts overheating, output drops, stability goes with it, and the whole run can fall apart fast. And that’s exactly why this detail is interesting. Of course, that does not mean Honor has already surpassed teams like TienKung or Unitree across humanoid robotics as a whole. What it does suggest is that for the marathon task, they built a very strong system solution. And honestly, that alone is already a useful case for the industry. The bigger trend is moving fast. Last year, TienKung won in around 2 hours 40 minutes. This year, the winning time dropped to 50 minutes 26 seconds. Last year, most robots were still fully remote-controlled or only semi-autonomous. This year, around 40% were running with a much higher level of autonomy. So to me, the real signal is not just that robots got faster. It’s that the field is now moving past raw speed, and into the harder problems: autonomy, stability, and system reliability under load. If the pace of progress stays anywhere close to this, then next year’s race should be even more worth watching.

RoboHub🤖

60,151 görüntüleme • 2 ay önce

Kaito's leaderboard was published on September 12, 2025. I've been creating content for Sentient since June, well before that. And it seems TGE will happen within the next month, provided general market conditions are favorable. The project foundations were laid in 2024, and they raised a significant investment of $85 million. These funds were used to develop open AGI. In the first half of the year, research focused on model security, post training, agentic safety, and benchmarking. Custom benchmarks, including fair coding, cryptographic values, and governance features, were developed. Work was also done on AI agent vulnerabilities and context manipulation attacks. Between July and September, GRID was launched, and the ROMA Framework, an open source framework, was released. In September, Kaito integration was implemented, and Dobby, the world's first fingerprint based AI model, was used by over 700,000 people. Many community events and AMAs were held in October and November. In December, the SERA Crypto launch and .agent domains were released. All these developments and more were accomplished within a year thanks to the hard work of the Sentient team, and they are still building. We will be hearing a lot about Artificial General Intelligence projects in 2026, and Sentient will likely be one of the most talked about.
0:32

Kaito's leaderboard was published on September 12, 2025. I've been creating content for Sentient since June, well before that. And it seems TGE will happen within the next month, provided general market conditions are favorable. The project foundations were laid in 2024, and they raised a significant investment of $85 million. These funds were used to develop open AGI. In the first half of the year, research focused on model security, post training, agentic safety, and benchmarking. Custom benchmarks, including fair coding, cryptographic values, and governance features, were developed. Work was also done on AI agent vulnerabilities and context manipulation attacks. Between July and September, GRID was launched, and the ROMA Framework, an open source framework, was released. In September, Kaito integration was implemented, and Dobby, the world's first fingerprint based AI model, was used by over 700,000 people. Many community events and AMAs were held in October and November. In December, the SERA Crypto launch and .agent domains were released. All these developments and more were accomplished within a year thanks to the hard work of the Sentient team, and they are still building. We will be hearing a lot about Artificial General Intelligence projects in 2026, and Sentient will likely be one of the most talked about.

mufettis 🐋

11,750 görüntüleme • 6 ay önce

i watched gemma 4 12b build something genuinely impressive today, and then loop itself to death right in front of me. the full run is in the video, sped up but completely uncut, watch it to the end and you will catch the exact moment it stops building and starts looping right in the middle of the work. the task was clean, build a single file gravity simulator, n-body physics, orbits, collisions, running locally on one 3090 through an agent. and for ten minutes it was a joy to watch. it reached for a symplectic integrator on its own, the correct one, the kind that keeps orbits stable instead of spiralling out. real gravity with softening, proper orbital velocities, momentum conserved on collision. the physics was right. the thing actually worked. then on the very last step, writing a few tests to prove its own code, it fell into a loop. not a crash, a loop. it started repeating itself and would not stop. ten more minutes, thirty four thousand tokens into a single answer, the same fragments over and over, until i killed it myself. so it's not that gemma can't code. it did the hard part beautifully. it cannot finish. it cannot hold a long task together without unravelling, and finishing is the entire job in agentic work. here's the part that stings. i run this exact task, same harness, same card, on the chinese open models, qwen especially, and i never see this. they build it, they test it, they stop. every single time. google has the raw capability, you can see it sitting right there in the code, and then the model loops itself to death on a task a 27b from alibaba finishes clean. open weights, apache 2.0, so much to love on paper. i just need it to know when to stop talking.
4:15

i watched gemma 4 12b build something genuinely impressive today, and then loop itself to death right in front of me. the full run is in the video, sped up but completely uncut, watch it to the end and you will catch the exact moment it stops building and starts looping right in the middle of the work. the task was clean, build a single file gravity simulator, n-body physics, orbits, collisions, running locally on one 3090 through an agent. and for ten minutes it was a joy to watch. it reached for a symplectic integrator on its own, the correct one, the kind that keeps orbits stable instead of spiralling out. real gravity with softening, proper orbital velocities, momentum conserved on collision. the physics was right. the thing actually worked. then on the very last step, writing a few tests to prove its own code, it fell into a loop. not a crash, a loop. it started repeating itself and would not stop. ten more minutes, thirty four thousand tokens into a single answer, the same fragments over and over, until i killed it myself. so it's not that gemma can't code. it did the hard part beautifully. it cannot finish. it cannot hold a long task together without unravelling, and finishing is the entire job in agentic work. here's the part that stings. i run this exact task, same harness, same card, on the chinese open models, qwen especially, and i never see this. they build it, they test it, they stop. every single time. google has the raw capability, you can see it sitting right there in the code, and then the model loops itself to death on a task a 27b from alibaba finishes clean. open weights, apache 2.0, so much to love on paper. i just need it to know when to stop talking.

Sudo su

39,574 görüntüleme • 1 ay önce

Yesterday, I completed the Tata Mumbai Half Marathon, and it was an incredible experience! Initially, after the October Ironman, I had planned to do a full marathon, but due to a busy schedule the last two months and not being able to train as much, I decided to go for the half marathon instead. The race was challenging, especially with the iconic Peddar Road climb, which really tested my stamina due to the elevation. The last 5k was particularly testing, but just when I thought I was slowing down, Coach Pramod Deshpande of JJ appeared out of nowhere and gave me the motivation I needed to finish strong. His timely support made all the difference! I completed the race at 2.16 hrs. Mumbai’s weather added another layer of difficulty. The humidity was intense, making each step feel heavier, but it also reminded me the importance of mental resilience in endurance sports. Pushing through that discomfort is what running – and life – is all about. I’m happy that I’ve improved my PR by 20 minutes compared to Bangalore Marathon. My next target is a sub-2 half marathon, and I’m already excited for the challenge! To the youth out there: physical fitness isn’t just about looking good; it’s about building mental strength, resilience, and discipline. Whether it’s running, cycling, or any other sport, the habits you form today lay the foundation for a stronger tomorrow. Let’s embrace fitness, set ambitious goals, and show ourselves what we’re truly capable of! Keep pushing, and never let any challenge stop you from chasing your dreams. Appreciate Procam International MD Sri Vivek Singh and his team for organising this truly world-class event. Gratitude to Maharashtra CM Devendra Fadnavis Ji and his team for all the support. Thanks to Prime Minister Narendra Modi’s emphasis on the #FitIndia movement more government support is accorded to events and initiatives like this which go long way in preventive healthcare in a young country like India. Congratulations to all the 60,000+ runners who participated yesterday!
1:48

Yesterday, I completed the Tata Mumbai Half Marathon, and it was an incredible experience! Initially, after the October Ironman, I had planned to do a full marathon, but due to a busy schedule the last two months and not being able to train as much, I decided to go for the half marathon instead. The race was challenging, especially with the iconic Peddar Road climb, which really tested my stamina due to the elevation. The last 5k was particularly testing, but just when I thought I was slowing down, Coach Pramod Deshpande of JJ appeared out of nowhere and gave me the motivation I needed to finish strong. His timely support made all the difference! I completed the race at 2.16 hrs. Mumbai’s weather added another layer of difficulty. The humidity was intense, making each step feel heavier, but it also reminded me the importance of mental resilience in endurance sports. Pushing through that discomfort is what running – and life – is all about. I’m happy that I’ve improved my PR by 20 minutes compared to Bangalore Marathon. My next target is a sub-2 half marathon, and I’m already excited for the challenge! To the youth out there: physical fitness isn’t just about looking good; it’s about building mental strength, resilience, and discipline. Whether it’s running, cycling, or any other sport, the habits you form today lay the foundation for a stronger tomorrow. Let’s embrace fitness, set ambitious goals, and show ourselves what we’re truly capable of! Keep pushing, and never let any challenge stop you from chasing your dreams. Appreciate Procam International MD Sri Vivek Singh and his team for organising this truly world-class event. Gratitude to Maharashtra CM Devendra Fadnavis Ji and his team for all the support. Thanks to Prime Minister Narendra Modi’s emphasis on the #FitIndia movement more government support is accorded to events and initiatives like this which go long way in preventive healthcare in a young country like India. Congratulations to all the 60,000+ runners who participated yesterday!

Tejasvi Surya

50,168 görüntüleme • 1 yıl önce

If we live in a simulation, COVID was the proof. It wasn’t a virus. It was a compliance test. David Icke explains that the human body functions like a biological computer. 🧬💻 We’re designed to interact with a narrow, tightly controlled version of reality. Expand that perception too far, and you start seeing what you’re not meant to see. In a simulation, control doesn’t require force. It requires narrative dominance. 📰 Control perception, and you control behavior. The pandemic demonstrated this at scale. A single story was injected into global consciousness. Fear became the operating system. Authority became unquestionable. And billions of people adjusted their behavior in perfect synchronization. 🏠 Lockdowns. 🤬 Censorship. 💉 Medical compliance. 🚨 Social enforcement. All driven by perception first. That’s how simulations work: Change the input → predict the output. Eight billion people cannot be controlled by a handful of institutions unless voluntary compliance is already in place. 2020 proved something profound: Human reality is governed through perception first. Behavior comes second. And if this really is a simulation, that was the system running a live test. 👁️🧠 Watch the full, 2-hour video here: #spiritualawakening #truthseeker #higherconsciousness #thematrixisreal #simulationtheory #simulation #freedomthinker
2:54

If we live in a simulation, COVID was the proof. It wasn’t a virus. It was a compliance test. David Icke explains that the human body functions like a biological computer. 🧬💻 We’re designed to interact with a narrow, tightly controlled version of reality. Expand that perception too far, and you start seeing what you’re not meant to see. In a simulation, control doesn’t require force. It requires narrative dominance. 📰 Control perception, and you control behavior. The pandemic demonstrated this at scale. A single story was injected into global consciousness. Fear became the operating system. Authority became unquestionable. And billions of people adjusted their behavior in perfect synchronization. 🏠 Lockdowns. 🤬 Censorship. 💉 Medical compliance. 🚨 Social enforcement. All driven by perception first. That’s how simulations work: Change the input → predict the output. Eight billion people cannot be controlled by a handful of institutions unless voluntary compliance is already in place. 2020 proved something profound: Human reality is governed through perception first. Behavior comes second. And if this really is a simulation, that was the system running a live test. 👁️🧠 Watch the full, 2-hour video here: #spiritualawakening #truthseeker #higherconsciousness #thematrixisreal #simulationtheory #simulation #freedomthinker

INSPIRED

30,430 görüntüleme • 6 ay önce

To have a state, there's a simple test. It's called the Montevideo test. It comes from the Montevideo Convention in 1933, and it's a four-part, four-element test. The four elements are: 1. Do you have a defined population? 2. Do you have defined borders? 3. Do you have the capacity to conduct foreign relations? 4. Do you have a single effective government? There's a couple things to understand about this. The first thing is that Israel, despite being called an illegitimate state, is actually a very old country. I don't mean ancient Israel. I mean, the Israel that was founded in 1948 was founded at a time when there were only 58 countries in the world. It became the 59th state. So people always say, "Oh, this newfangled creation, Israel." No, no, no. Israel's older than roughly two-thirds of all the countries in the world. And in fact, it was created in precisely the same way and at about the same time as many of the decolonized states in the world that were just drawn as lines on the map by European colonialist powers. It's the same thing with many of the Arab countries. Iraq was drawn up that way. Lebanon was definitely drawn up that way. Syria was drawn up that way with no regard for their indigenous, in many cases, local minority populations. Lots of countries in Africa were created this way. Cameroon was created this way. Part of South Africa and Botswana were split off this way. We could talk forever about the dozens of countries that were created just the same way Israel was, and nobody ever protests them because there's no Jews there, right? So there's nothing to protest. The point here is that Israel met in 1948, and has met every second of every day since then until today, all four of the Montevideo Factors.
3:24

To have a state, there's a simple test. It's called the Montevideo test. It comes from the Montevideo Convention in 1933, and it's a four-part, four-element test. The four elements are: 1. Do you have a defined population? 2. Do you have defined borders? 3. Do you have the capacity to conduct foreign relations? 4. Do you have a single effective government? There's a couple things to understand about this. The first thing is that Israel, despite being called an illegitimate state, is actually a very old country. I don't mean ancient Israel. I mean, the Israel that was founded in 1948 was founded at a time when there were only 58 countries in the world. It became the 59th state. So people always say, "Oh, this newfangled creation, Israel." No, no, no. Israel's older than roughly two-thirds of all the countries in the world. And in fact, it was created in precisely the same way and at about the same time as many of the decolonized states in the world that were just drawn as lines on the map by European colonialist powers. It's the same thing with many of the Arab countries. Iraq was drawn up that way. Lebanon was definitely drawn up that way. Syria was drawn up that way with no regard for their indigenous, in many cases, local minority populations. Lots of countries in Africa were created this way. Cameroon was created this way. Part of South Africa and Botswana were split off this way. We could talk forever about the dozens of countries that were created just the same way Israel was, and nobody ever protests them because there's no Jews there, right? So there's nothing to protest. The point here is that Israel met in 1948, and has met every second of every day since then until today, all four of the Montevideo Factors.

Roy K. Altman

55,181 görüntüleme • 1 ay önce

China’s pretty humanoid robot stuns by opening a car door in a ‘world’s first’ | Jijo Malayil, Interesting Engineering Mornine used onboard sensors and full-body control to locate the handle, adjust posture, and open a car door—no human input needed. AiMOGA Robotics has claimed to have reached a significant milestone in embodied AI with its humanoid robot, Mornine, autonomously opening a car door inside a functioning Chery dealership in China. Relying solely on onboard sensors, full-body motion control, and end-to-end reinforcement learning, Mornine performed the task without any human input. Unlike scripted or teleoperated robots, Mornie identified the door handle, adjusted its posture, and used coordinated force across its limbs and torso to complete the action—demonstrating advanced autonomy in a real-world setting. “The deployment marks one of the first instances of a service robot executing such a high-friction, physical interaction in a live commercial setting,” said the firm in a statement. In April, at the Shanghai Auto Show, automotive brands Omoda and Jaecoo, subsidiaries of Chery Automobile, introduced Mornine, designed for use in car dealerships. From sim to service Opening a car door may seem like a simple task, but AiMOGA Robotics views it as a pivotal moment in robotics—signaling a shift from simulation to real-world service, and from basic command execution to autonomous capability. Using only onboard sensors and full-body motion control, Mornine identified the door handle, adjusted her posture, and applied coordinated force across her limbs to open the door—entirely without human intervention. Mornine’s advanced sensor suite includes 3D LiDAR, depth and wide-angle cameras, and a visual-language model (VLM), enabling real-time perception of door position and opening status. Uniquely, Mornine wasn’t explicitly programmed to recognize door handles. Instead, she learned through reinforcement learning, undergoing millions of simulated cycles to focus on the right region and perform the task independently. “We never explicitly told the robot what a door handle is. It learned to focus on that region by itself,” said the engineering team at AiMOGA Robotics in a statement. The learned model was transferred to the real world using Sim2Real methods. Mornine continuously gathers live sensor data during operation, which feeds into a cloud-based training loop, allowing her to improve through continuous learning in real-world settings, reports Robotics Tomorrow. Now active in multiple Chery 4S dealerships in China, Mornine not only opens car doors but also assists with customer greetings, vehicle introductions, and item delivery—marking a step forward in humanoid robotics for commercial retail environments. AI meets retail Originally introduced as the AiMOGA Robot, Mornine was developed to support dealership sales by performing tasks such as explaining vehicle specifications, leading showroom tours, serving refreshments, and engaging with customers in multiple languages. First conceived by Chery as a virtual character to appeal to Generation Z using metaverse and virtual human technologies, Mornine gradually evolved into a real-world interactive humanoid. After multiple iterations of character and model design, Mornine debuted as a digital persona in animations, livestreams, and promotional content, gaining brand recognition. Chery later expanded the concept beyond the virtual space, resulting in the creation of the AiMOGA humanoid robot. Leveraging Chery’s expertise in autonomous driving, environmental sensing, and control systems, AiMOGA features full-stack capabilities in perception, cognition, decision-making, and execution. It uses multimodal sensing—combining speech, vision, and environmental data—to interpret user gestures, commands, and showroom dynamics. A bionic motion system and automotive-grade hardware enable dexterous movement and upright mobility, while multi-robot collaboration allows for coordinated tasks like guided tours. At the decision-making layer, Deepseek’s large language models enable natural language understanding and personalized interaction. In April 2025, Mornine officially began commercial service as an “Intelligent Sales Consultant” at the OMODA C5 JOYSTAR 4S dealership in Kuala Lumpur, Malaysia—marking her full transition from a virtual concept to a real-world humanoid sales assistant.
0:48

China’s pretty humanoid robot stuns by opening a car door in a ‘world’s first’ | Jijo Malayil, Interesting Engineering Mornine used onboard sensors and full-body control to locate the handle, adjust posture, and open a car door—no human input needed. AiMOGA Robotics has claimed to have reached a significant milestone in embodied AI with its humanoid robot, Mornine, autonomously opening a car door inside a functioning Chery dealership in China. Relying solely on onboard sensors, full-body motion control, and end-to-end reinforcement learning, Mornine performed the task without any human input. Unlike scripted or teleoperated robots, Mornie identified the door handle, adjusted its posture, and used coordinated force across its limbs and torso to complete the action—demonstrating advanced autonomy in a real-world setting. “The deployment marks one of the first instances of a service robot executing such a high-friction, physical interaction in a live commercial setting,” said the firm in a statement. In April, at the Shanghai Auto Show, automotive brands Omoda and Jaecoo, subsidiaries of Chery Automobile, introduced Mornine, designed for use in car dealerships. From sim to service Opening a car door may seem like a simple task, but AiMOGA Robotics views it as a pivotal moment in robotics—signaling a shift from simulation to real-world service, and from basic command execution to autonomous capability. Using only onboard sensors and full-body motion control, Mornine identified the door handle, adjusted her posture, and applied coordinated force across her limbs to open the door—entirely without human intervention. Mornine’s advanced sensor suite includes 3D LiDAR, depth and wide-angle cameras, and a visual-language model (VLM), enabling real-time perception of door position and opening status. Uniquely, Mornine wasn’t explicitly programmed to recognize door handles. Instead, she learned through reinforcement learning, undergoing millions of simulated cycles to focus on the right region and perform the task independently. “We never explicitly told the robot what a door handle is. It learned to focus on that region by itself,” said the engineering team at AiMOGA Robotics in a statement. The learned model was transferred to the real world using Sim2Real methods. Mornine continuously gathers live sensor data during operation, which feeds into a cloud-based training loop, allowing her to improve through continuous learning in real-world settings, reports Robotics Tomorrow. Now active in multiple Chery 4S dealerships in China, Mornine not only opens car doors but also assists with customer greetings, vehicle introductions, and item delivery—marking a step forward in humanoid robotics for commercial retail environments. AI meets retail Originally introduced as the AiMOGA Robot, Mornine was developed to support dealership sales by performing tasks such as explaining vehicle specifications, leading showroom tours, serving refreshments, and engaging with customers in multiple languages. First conceived by Chery as a virtual character to appeal to Generation Z using metaverse and virtual human technologies, Mornine gradually evolved into a real-world interactive humanoid. After multiple iterations of character and model design, Mornine debuted as a digital persona in animations, livestreams, and promotional content, gaining brand recognition. Chery later expanded the concept beyond the virtual space, resulting in the creation of the AiMOGA humanoid robot. Leveraging Chery’s expertise in autonomous driving, environmental sensing, and control systems, AiMOGA features full-stack capabilities in perception, cognition, decision-making, and execution. It uses multimodal sensing—combining speech, vision, and environmental data—to interpret user gestures, commands, and showroom dynamics. A bionic motion system and automotive-grade hardware enable dexterous movement and upright mobility, while multi-robot collaboration allows for coordinated tasks like guided tours. At the decision-making layer, Deepseek’s large language models enable natural language understanding and personalized interaction. In April 2025, Mornine officially began commercial service as an “Intelligent Sales Consultant” at the OMODA C5 JOYSTAR 4S dealership in Kuala Lumpur, Malaysia—marking her full transition from a virtual concept to a real-world humanoid sales assistant.

Owen Gregorian

67,975 görüntüleme • 11 ay önce

Anyone who’s worked in QA knows the gap. Requirements live in one place and tests live somewhere else. Every change creates another round of rewriting. Kane AI by TestMu AI (formerly LambdaTest) approaches that gap differently. Instead of forcing teams to rewrite tests in a new abstraction, it lets you describe intent in natural language and turns that into structured, executable tests that can be exported into your existing frameworks. During exploration, the most practical part wasn’t just test generation, it was how expressive the language layer is. Complex assertions, branching conditions, and validations can be described without switching mental modes into code, but the resulting output still integrates cleanly with real pipelines. There’s also a strong emphasis on API coverage and auto-bug detection, which matters when UI tests aren’t enough. Kane AI by TestMu AI (formerly LambdaTest) can detect failures during execution and attempt self-healing based on original intent, while still requiring review and validation from the team. It doesn’t pretend QA disappears. It acknowledges QA is hard, contextual, and constantly changing. That honesty makes it useful. If you’re dealing with test maintenance and curious how natural-language testing fits into real QA work, Kane AI by TestMu AI (formerly LambdaTest) is available to try. See it in action: TestMu AI
0:37

Anyone who’s worked in QA knows the gap. Requirements live in one place and tests live somewhere else. Every change creates another round of rewriting. Kane AI by TestMu AI (formerly LambdaTest) approaches that gap differently. Instead of forcing teams to rewrite tests in a new abstraction, it lets you describe intent in natural language and turns that into structured, executable tests that can be exported into your existing frameworks. During exploration, the most practical part wasn’t just test generation, it was how expressive the language layer is. Complex assertions, branching conditions, and validations can be described without switching mental modes into code, but the resulting output still integrates cleanly with real pipelines. There’s also a strong emphasis on API coverage and auto-bug detection, which matters when UI tests aren’t enough. Kane AI by TestMu AI (formerly LambdaTest) can detect failures during execution and attempt self-healing based on original intent, while still requiring review and validation from the team. It doesn’t pretend QA disappears. It acknowledges QA is hard, contextual, and constantly changing. That honesty makes it useful. If you’re dealing with test maintenance and curious how natural-language testing fits into real QA work, Kane AI by TestMu AI (formerly LambdaTest) is available to try. See it in action: TestMu AI

AI Highlight

61,494 görüntüleme • 5 ay önce

🔴🟢||▪︎ Integrity Comes First After the match was replayed, it became clear that the referee ended the game at a critical moment, just as Sadio Mané was heading to the locker room until the match commissioner stepped in and asked him to wait. The footage exists, and the facts are there. This is not about chasing a trophy or demanding a title at any cost. For Moroccans, it is about one thing: sporting justice. The real test today is simple: Will CAF and FIFA apply the rules with integrity and protect the credibility of African football? #SportingJustice #Morocco #CAF #FIFA #AFCON2025 #Football #NajibStratégie
0:31

🔴🟢||▪︎ Integrity Comes First After the match was replayed, it became clear that the referee ended the game at a critical moment, just as Sadio Mané was heading to the locker room until the match commissioner stepped in and asked him to wait. The footage exists, and the facts are there. This is not about chasing a trophy or demanding a title at any cost. For Moroccans, it is about one thing: sporting justice. The real test today is simple: Will CAF and FIFA apply the rules with integrity and protect the credibility of African football? #SportingJustice #Morocco #CAF #FIFA #AFCON2025 #Football #NajibStratégie

نجيب الأضادي-Najib Addadi

35,077 görüntüleme • 5 ay önce

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.
5:47

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🤖

12,810 görüntüleme • 15 gün önce

Dr. Rima Laibow describes what she believes is the mechanism of action behind the COVID-jab "planking" deaths: "The injection inserted biological control systems, sending and receiving systems, and those systems... are susceptible to electromagnetic control... These people were paralyzed [when they died]. And the only way to paralyze people so effectively, so that every striated muscle in the body stops at the same moment... the only way I know to do that is electromagnetically." This clip of psychiatrist Dr. Rima Laibow, M.D. is taken from an interview with psychotherapist Joe Sansone (Dr. Joseph Sansone (JosephSansone.com)) posted to Rumble on August 17, 2025. ----------------Partial transcription of clip-------------- "I actually wrote, some articles about this and did some videos. The video is called A New Way of Dying. Because there were people who were, as I call it, planking, dying in one piece, if you will. "There was an Egyptian diplomat who was at an official event, speaking at the podium and suddenly keeled over backwards...In fact, I don't think it was from the COVID injection at all. What I suspect is that, the injection inserted biological control systems, sending and receiving systems, and that those systems were and are susceptible to electromagnetic control. "So that these people were, in my hypothesis, probably simply experimental subjects. Somebody aimed a beam, pressed a button. And the entire, striated muscle system of their body, including the heart, which is a striated muscle, immediately stopped operating. "So they died ka-thunk. Now, unfortunately, as a physician, I've seen a lot of people die, not under my direct care, but in hospitals, in my training and so on. People die in a collapsing motion. They fold. They do not die stiffly. No natural death occurs as a plank. It simply does not occur. The only way that. That. And they clutch their chest if it's a heart attack or, And they call out mama or Save me or don't let me die. Every one of these people. "And unfortunately, I watched hundreds of these videos from around the world. Every one of these people died in a completely unnatural way in which there was no speech, in which there was no blinking, in which there was no grasping or, you know, essentially, clutching, the part of the body that was experiencing whatever it was. "These people were paralyzed. And the only way to paralyze people so effectively. So that every striated muscle in the body stops at the same moment. It wasn't even a seizure. With jerking. We're talking about complete paralysis. The only way I know to do that is electromagnetically. "[The jab makers did this so they] can blame it on Covid. Of course, people are dying from COVID and therefore, you have to protect yourself from COVID because you don't want to go plunk, and you have to get the shot, right?"
3:41

Dr. Rima Laibow describes what she believes is the mechanism of action behind the COVID-jab "planking" deaths: "The injection inserted biological control systems, sending and receiving systems, and those systems... are susceptible to electromagnetic control... These people were paralyzed [when they died]. And the only way to paralyze people so effectively, so that every striated muscle in the body stops at the same moment... the only way I know to do that is electromagnetically." This clip of psychiatrist Dr. Rima Laibow, M.D. is taken from an interview with psychotherapist Joe Sansone (Dr. Joseph Sansone (JosephSansone.com)) posted to Rumble on August 17, 2025. ----------------Partial transcription of clip-------------- "I actually wrote, some articles about this and did some videos. The video is called A New Way of Dying. Because there were people who were, as I call it, planking, dying in one piece, if you will. "There was an Egyptian diplomat who was at an official event, speaking at the podium and suddenly keeled over backwards...In fact, I don't think it was from the COVID injection at all. What I suspect is that, the injection inserted biological control systems, sending and receiving systems, and that those systems were and are susceptible to electromagnetic control. "So that these people were, in my hypothesis, probably simply experimental subjects. Somebody aimed a beam, pressed a button. And the entire, striated muscle system of their body, including the heart, which is a striated muscle, immediately stopped operating. "So they died ka-thunk. Now, unfortunately, as a physician, I've seen a lot of people die, not under my direct care, but in hospitals, in my training and so on. People die in a collapsing motion. They fold. They do not die stiffly. No natural death occurs as a plank. It simply does not occur. The only way that. That. And they clutch their chest if it's a heart attack or, And they call out mama or Save me or don't let me die. Every one of these people. "And unfortunately, I watched hundreds of these videos from around the world. Every one of these people died in a completely unnatural way in which there was no speech, in which there was no blinking, in which there was no grasping or, you know, essentially, clutching, the part of the body that was experiencing whatever it was. "These people were paralyzed. And the only way to paralyze people so effectively. So that every striated muscle in the body stops at the same moment. It wasn't even a seizure. With jerking. We're talking about complete paralysis. The only way I know to do that is electromagnetically. "[The jab makers did this so they] can blame it on Covid. Of course, people are dying from COVID and therefore, you have to protect yourself from COVID because you don't want to go plunk, and you have to get the shot, right?"

Sense Receptor

13,737 görüntüleme • 10 ay önce