正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Robotics Master Student, Sam Wang, who is working with Dr. Dinesh Jayaraman 's PAL(Perception, Action, and Learning) Research Group showcasing a 4 legged robot balancing on an exercise ball. PAL Research Group Website: #GRASP #GRASPLab #PAL

GRASP Laboratory

4,791 subscribers

16,264 次观看 • 8 个月前 •via X (Twitter)

#GRASP #GRASPLab #PAL

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

As a newly appointed 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 at Imperial College London, I'm thrilled to announce the 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) at 𝗜𝗺𝗽𝗲𝗿𝗶𝗮𝗹 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗟𝗼𝗻𝗱𝗼𝗻. 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) ( is a new research lab focused on the intersection of safety and intelligence in next-generation robotics. We're hiring exceptional PhD students who are passionate about pushing the boundaries of robot learning. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗦𝗪𝗜𝗥𝗟 𝘂𝗻𝗶𝗾𝘂𝗲? We operate at the exciting convergence of: • Online & offline reinforcement learning • Imitation learning & human demonstrations • Sample-efficient learning methods • Whole-body and soft robotics systems We're 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗣𝗵𝗗 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 interested in: • Developing safe exploration algorithms for robotic systems • Creating sample-efficient learning methods that minimize real-world trials • Building foundation models for robotics with safety guarantees • Advancing soft robotics and compliant human-robot interaction • Bridging theory and practice in embodied AI Why now? As robots become more capable and work closer with humans, we need systems that are both intelligent enough to handle complex tasks 𝗔𝗡𝗗 safe enough for real-world deployment. Traditional approaches treat safety and intelligence as competing priorities, we believe they're synergistic. If you're a motivated researcher who wants to develop the theoretical foundations and practical algorithms for tomorrow's safe, intelligent robots, I'd love to hear from you. Want to join? Apply via

As a newly appointed 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 at Imperial College London, I'm thrilled to announce the 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) at 𝗜𝗺𝗽𝗲𝗿𝗶𝗮𝗹 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗟𝗼𝗻𝗱𝗼𝗻. 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) ( is a new research lab focused on the intersection of safety and intelligence in next-generation robotics. We're hiring exceptional PhD students who are passionate about pushing the boundaries of robot learning. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗦𝗪𝗜𝗥𝗟 𝘂𝗻𝗶𝗾𝘂𝗲? We operate at the exciting convergence of: • Online & offline reinforcement learning • Imitation learning & human demonstrations • Sample-efficient learning methods • Whole-body and soft robotics systems We're 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗣𝗵𝗗 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 interested in: • Developing safe exploration algorithms for robotic systems • Creating sample-efficient learning methods that minimize real-world trials • Building foundation models for robotics with safety guarantees • Advancing soft robotics and compliant human-robot interaction • Bridging theory and practice in embodied AI Why now? As robots become more capable and work closer with humans, we need systems that are both intelligent enough to handle complex tasks 𝗔𝗡𝗗 safe enough for real-world deployment. Traditional approaches treat safety and intelligence as competing priorities, we believe they're synergistic. If you're a motivated researcher who wants to develop the theoretical foundations and practical algorithms for tomorrow's safe, intelligent robots, I'd love to hear from you. Want to join? Apply via

Stephen James

16,673 次观看 • 11 个月前

This is who poses a danger to Canadians. It isn’t the licensed PAL holder, the duck hunter in Manitoba. And it isn’t the sport shooter at a vetted range. It’s organized crime networks operating with prohibited handguns, extended magazines, and zero fear of consequence. Just look at the video. He has an extended magazine on a prohibited handgun. It’s against the law (among other things shown). But because of our weak laws, they roam Canada freely. This is in Caledon, Ontario. Doug Ford’s jurisdiction. We need swift action & decisive leadership. 10 years ago, this would be unheard of. “Every individual we’ve identified during this investigation is a temporary foreign worker or on a student Visa and relatively new to Canada” The government let them in, and they’re too busy taking rifles from the people who follow the rules while giving the criminals reduced sentences so they don’t get deported. SHAMEFUL!

This is who poses a danger to Canadians. It isn’t the licensed PAL holder, the duck hunter in Manitoba. And it isn’t the sport shooter at a vetted range. It’s organized crime networks operating with prohibited handguns, extended magazines, and zero fear of consequence. Just look at the video. He has an extended magazine on a prohibited handgun. It’s against the law (among other things shown). But because of our weak laws, they roam Canada freely. This is in Caledon, Ontario. Doug Ford’s jurisdiction. We need swift action & decisive leadership. 10 years ago, this would be unheard of. “Every individual we’ve identified during this investigation is a temporary foreign worker or on a student Visa and relatively new to Canada” The government let them in, and they’re too busy taking rifles from the people who follow the rules while giving the criminals reduced sentences so they don’t get deported. SHAMEFUL!

Mario Zelaya

164,984 次观看 • 3 个月前

Most humanoid projects talk about real work. Very few last an hour on a real line. This week I saw a case that matters for anyone building robots, perception, or physical AI. Kinisi deployed its first mobile manipulation system into a live recycling facility. Not a demo. Not a staged test. A real production line with real output pressure. Why this matters if you want robotics to deliver real value on your floor: • Handles mixed glass with random poses and no fixed fixtures. • Runs real grasp selection under noise, vibration and production variability. • Maintains throughput while avoiding breakage on a delicate material. • Shows mobile manipulation doing actual shift work instead of controlled lab runs. Kinisi published a video that shows what the robot sees and how sensor data turns into action. This is the part most teams struggle to explain to customers, so the educational angle is useful for anyone working on adoption. On top of this, the team signed a pilot with a global automotive manufacturer to explore humanoid use cases in production. The direction is clear. Wheeled mobility (not legs!) plus strong perception seems to be shaping a large part of industrial humanoids right now. I know Brennand from earlier conversations and from our podcast session, and I am always glad to see European teams push the category forward. Wishing the Kinisi team continued success. —- Weekly robotics and AI insights. Subscribe free:

Most humanoid projects talk about real work. Very few last an hour on a real line. This week I saw a case that matters for anyone building robots, perception, or physical AI. Kinisi deployed its first mobile manipulation system into a live recycling facility. Not a demo. Not a staged test. A real production line with real output pressure. Why this matters if you want robotics to deliver real value on your floor: • Handles mixed glass with random poses and no fixed fixtures. • Runs real grasp selection under noise, vibration and production variability. • Maintains throughput while avoiding breakage on a delicate material. • Shows mobile manipulation doing actual shift work instead of controlled lab runs. Kinisi published a video that shows what the robot sees and how sensor data turns into action. This is the part most teams struggle to explain to customers, so the educational angle is useful for anyone working on adoption. On top of this, the team signed a pilot with a global automotive manufacturer to explore humanoid use cases in production. The direction is clear. Wheeled mobility (not legs!) plus strong perception seems to be shaping a large part of industrial humanoids right now. I know Brennand from earlier conversations and from our podcast session, and I am always glad to see European teams push the category forward. Wishing the Kinisi team continued success. —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

24,800 次观看 • 9 个月前

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora

23,489 次观看 • 10 个月前

Furniture assembly is the task everyone name-drops and nobody actually attempts at real scale. Every demo I have seen is a scaled down IKEA leg or a single arm on a toy chair. This paper does it properly, real scale, bimanual, up to 7 subtasks and 1,550 control steps per episode, and it is validated on a real Kinova Gen3, not just in sim. That real-robot number is the one that matters: only a 16 percent drop on the hardest task going from simulation to hardware. That is a small enough gap to take seriously, and it did not happen by accident. They built a VR teleoperation rig specifically for coordinated dual-arm collection, because generic single-arm teleop setups do not capture the coordination real assembly needs, and the model predicts a continuous progress signal alongside the action chunk rather than a discrete subtask label, letting it auto-transition and catch drift before it compounds into total failure. The simulation ablation is what got them there, 48 to 80 percent over baselines, with another 21 points from their perception and control design study alone, but that is groundwork, not the headline. Watch the video, there is a clip of the robot misgrasping the seat panel, reopening the gripper, and regrasping on its own. That is not scripted recovery behaviour, it emerged from training, and it emerged on hardware. Excellent work from the team from Mitsubishi Electric Research Laboratories, with Oxford and UNC Chapel Hill Clinical Laboratory Science. Video and project page in comments. #Robotics #Manipulation #VLA

Furniture assembly is the task everyone name-drops and nobody actually attempts at real scale. Every demo I have seen is a scaled down IKEA leg or a single arm on a toy chair. This paper does it properly, real scale, bimanual, up to 7 subtasks and 1,550 control steps per episode, and it is validated on a real Kinova Gen3, not just in sim. That real-robot number is the one that matters: only a 16 percent drop on the hardest task going from simulation to hardware. That is a small enough gap to take seriously, and it did not happen by accident. They built a VR teleoperation rig specifically for coordinated dual-arm collection, because generic single-arm teleop setups do not capture the coordination real assembly needs, and the model predicts a continuous progress signal alongside the action chunk rather than a discrete subtask label, letting it auto-transition and catch drift before it compounds into total failure. The simulation ablation is what got them there, 48 to 80 percent over baselines, with another 21 points from their perception and control design study alone, but that is groundwork, not the headline. Watch the video, there is a clip of the robot misgrasping the seat panel, reopening the gripper, and regrasping on its own. That is not scripted recovery behaviour, it emerged from training, and it emerged on hardware. Excellent work from the team from Mitsubishi Electric Research Laboratories, with Oxford and UNC Chapel Hill Clinical Laboratory Science. Video and project page in comments. #Robotics #Manipulation #VLA

Stephen James

14,952 次观看 • 1 个月前

BIG REMINDER and BIG LESSON!! I conducted ALL THESE TRIALS on MY MONEY to see the truth with U.S. FDA watching. (Pic1 below) I was bullied, harassed, and threatened for saving lives. I wrote all those protocols in March 2020, I ran all these protocols with major interference from the Media calling Hcq a dangerous drug and IVM a horsepaste. LOST NO ONE THE WHOLE PANDEMIC saved thousands and treated some of the sickest patients. Remember SOME OF MY PATIENTS GOT PLACEBO and desaturated on day 10 on my protocols yet they still survived at home with oxygen SATs in the 60’s and 70’s. Published on this Let me say it again LOUD AND CLEAR… LOST NO ONE. The THUGS who interfered with my research tried to remove all my publications. I fought to keep them all up. ALL ARE ON THE ProgenaBiome website. I didn't fight them to keep the hypothesis paper on IVM increasing the Bifidobacteria in 24 hrs to demonstrate the CORRUPTION in SCIENCE. There is NO SCIENCE when you cannot publish a hypothesis. If there is no science, there is no hope for patients. Let me be CLEAR, I had U.S. FDA and the Department of Health in my office... Yes, I’m STILL STANDING and they still watch me. Both agreed I WAS NOT SPREADING MISINFORMATION, I WAS SPREADING EARLY INFORMATION ON THESE TRIALS. Know the difference between those who spread misinformation who NEVER TOUCHED A PATIENT and THOSE WHO SPREAD EARLY INFORMATION AND CONDUCT THE TRIALS AND TOUCH PATIENTS. Know the difference between a dr who treats patients and follows the guidelines and one who helps the research that creates the guidelines. Below are hundreds of clinical trials I have conducted for pharma. (Pic2below) You can recognize familial names like Pfizer Inc. Amgen 🧪🔬🧬 Merck Gilead Sciences etc etc.. I am not a spreader of misinformation, I am the expert and spreader of EARLY INFORMATION on clinical trials… TrialSite News followed me since day1. KNOW THE EXPERTS...LISTEN TO THE EXPERTS.. NUMBER 1 rule to be an expert in COVID… ONE MUST have treated PATIENTS and SAVED THE PATIENTS… Watching people die does not make one an expert in COVID-19 but a failure in treating COVID-19 and a failure as a dr… LISTEN TO SUCCESS.. Namaste people Prayers for a better world that follows 2 slogans #letdrsbedrs #SAVETHEBIF

BIG REMINDER and BIG LESSON!! I conducted ALL THESE TRIALS on MY MONEY to see the truth with U.S. FDA watching. (Pic1 below) I was bullied, harassed, and threatened for saving lives. I wrote all those protocols in March 2020, I ran all these protocols with major interference from the Media calling Hcq a dangerous drug and IVM a horsepaste. LOST NO ONE THE WHOLE PANDEMIC saved thousands and treated some of the sickest patients. Remember SOME OF MY PATIENTS GOT PLACEBO and desaturated on day 10 on my protocols yet they still survived at home with oxygen SATs in the 60’s and 70’s. Published on this Let me say it again LOUD AND CLEAR… LOST NO ONE. The THUGS who interfered with my research tried to remove all my publications. I fought to keep them all up. ALL ARE ON THE ProgenaBiome website. I didn't fight them to keep the hypothesis paper on IVM increasing the Bifidobacteria in 24 hrs to demonstrate the CORRUPTION in SCIENCE. There is NO SCIENCE when you cannot publish a hypothesis. If there is no science, there is no hope for patients. Let me be CLEAR, I had U.S. FDA and the Department of Health in my office... Yes, I’m STILL STANDING and they still watch me. Both agreed I WAS NOT SPREADING MISINFORMATION, I WAS SPREADING EARLY INFORMATION ON THESE TRIALS. Know the difference between those who spread misinformation who NEVER TOUCHED A PATIENT and THOSE WHO SPREAD EARLY INFORMATION AND CONDUCT THE TRIALS AND TOUCH PATIENTS. Know the difference between a dr who treats patients and follows the guidelines and one who helps the research that creates the guidelines. Below are hundreds of clinical trials I have conducted for pharma. (Pic2below) You can recognize familial names like Pfizer Inc. Amgen 🧪🔬🧬 Merck Gilead Sciences etc etc.. I am not a spreader of misinformation, I am the expert and spreader of EARLY INFORMATION on clinical trials… TrialSite News followed me since day1. KNOW THE EXPERTS...LISTEN TO THE EXPERTS.. NUMBER 1 rule to be an expert in COVID… ONE MUST have treated PATIENTS and SAVED THE PATIENTS… Watching people die does not make one an expert in COVID-19 but a failure in treating COVID-19 and a failure as a dr… LISTEN TO SUCCESS.. Namaste people Prayers for a better world that follows 2 slogans #letdrsbedrs #SAVETHEBIF

sabine hazan md

13,835 次观看 • 1 年前

🇺🇦💔 Update post: At least 10 people lost their lives after Odesa’s stormwater system collapsed during heavy rain. This tragedy revealed what we’ve been warning about since 2022 — the city’s drainage and coastal infrastructure are in a critical condition. ‼️ We have repeatedly appealed to local authorities. Even official responses admit that: – the main collector is in an emergency state; – protective structures are not maintained; – no funding has been allocated for years. ➡️ This is not only Odesa’s problem — it reflects a broader infrastructure crisis across Ukrainian cities. 🌐 Together with government representatives and NGOs, we are forming an international working group to develop practical engineering solutions and share urban recovery experience. ✊ Ukrainian cities need professional, future-oriented infrastructure planning. ✉️ For communication, contact us: spilnameta.od@gmail.com We are open to partnerships with city administrations, engineers, urbanists, donors, and research institutions. 🔁 Please share. Tag experts, mayors, and policymakers who could join the discussion. Ukraine must rebuild the right way.

🇺🇦💔 Update post: At least 10 people lost their lives after Odesa’s stormwater system collapsed during heavy rain. This tragedy revealed what we’ve been warning about since 2022 — the city’s drainage and coastal infrastructure are in a critical condition. ‼️ We have repeatedly appealed to local authorities. Even official responses admit that: – the main collector is in an emergency state; – protective structures are not maintained; – no funding has been allocated for years. ➡️ This is not only Odesa’s problem — it reflects a broader infrastructure crisis across Ukrainian cities. 🌐 Together with government representatives and NGOs, we are forming an international working group to develop practical engineering solutions and share urban recovery experience. ✊ Ukrainian cities need professional, future-oriented infrastructure planning. ✉️ For communication, contact us: [email protected] We are open to partnerships with city administrations, engineers, urbanists, donors, and research institutions. 🔁 Please share. Tag experts, mayors, and policymakers who could join the discussion. Ukraine must rebuild the right way.

Savchenko Volodymyr

12,148 次观看 • 10 个月前

most of the top holders of $goblin keep buying every single day soon the sellers will be out and it will be up only i haven’t seen a group of bullish top holders like this for a very long time we all know what we hold i roundtripped 200k in profit on $goblin to a 60k loss and would to it again because i believe so much in this coin and think its THE ONE most bullish AI narrative we have ever seen open ai mascot fully embraced by open ai ( with merch , stickers and daily posts) Chatgpt obsessed with Goblins Open ai devs obsessed with Goblins New model coming out with Goblin mode such an easy lay up for those who understand Truth terminals ( meme) went to billions and noone outside CT has never heard of that shit whats the ceiling for $goblin then? the meme created by the biggest AI ever…? named the mascot? GOBLIN ‘s website avatar was taken straight from the website and put on a OpenAI tshirt…. Billions, all you gotta do is wait.

Marcell

61,208 次观看 • 2 个月前

A serious incident has been reported from Siddhartha Medical College in T. Beguru village of Nelamangala taluk, where a lecturer allegedly proposed to a female student inside a classroom, leading to a tense situation and subsequent violence on campus. The accused lecturer has been identified as Abdul. According to initial information, he reportedly approached the student during class hours and offered her a chocolate while proposing to her. The unexpected act was strongly opposed by the student, who allegedly reacted by hitting him with a slipper. Following this, the situation escalated quickly. Other students on campus gathered and confronted the lecturer. Reports suggest that a group of students chased Abdul across the campus and physically assaulted him near a parked vehicle. The assault reportedly continued within the college premises, where the lecturer was beaten by students. As the situation intensified, Abdul managed to escape from the spot while being attacked. The incident has also led to allegations of misconduct against the lecturer, with claims of inappropriate behaviour towards the student. The episode took place under the jurisdiction of the Nelamangala Rural Police Station. Authorities are expected to look into both the alleged harassment and the assault that followed. The college, which is associated with Karnataka Home Minister Dr. G. Parameshwara, witnessed a chaotic scene as the incident unfolded, drawing attention to safety and conduct within educational institutions. Further investigation is likely to determine the full sequence of events and any legal action that may follow.

A serious incident has been reported from Siddhartha Medical College in T. Beguru village of Nelamangala taluk, where a lecturer allegedly proposed to a female student inside a classroom, leading to a tense situation and subsequent violence on campus. The accused lecturer has been identified as Abdul. According to initial information, he reportedly approached the student during class hours and offered her a chocolate while proposing to her. The unexpected act was strongly opposed by the student, who allegedly reacted by hitting him with a slipper. Following this, the situation escalated quickly. Other students on campus gathered and confronted the lecturer. Reports suggest that a group of students chased Abdul across the campus and physically assaulted him near a parked vehicle. The assault reportedly continued within the college premises, where the lecturer was beaten by students. As the situation intensified, Abdul managed to escape from the spot while being attacked. The incident has also led to allegations of misconduct against the lecturer, with claims of inappropriate behaviour towards the student. The episode took place under the jurisdiction of the Nelamangala Rural Police Station. Authorities are expected to look into both the alleged harassment and the assault that followed. The college, which is associated with Karnataka Home Minister Dr. G. Parameshwara, witnessed a chaotic scene as the incident unfolded, drawing attention to safety and conduct within educational institutions. Further investigation is likely to determine the full sequence of events and any legal action that may follow.

Hate Detector 🔍

72,367 次观看 • 5 个月前

Mahmoud Khalil is a spokesperson for a Marxist group that advocates violent revolution and calls Oct 7 a “crowning achievement.” CUAD is an umbrella organization that houses many other explicitly Marxist groups who receive Rockefeller & Soros funding. It’s not about free speech. You can oppose Israel war crimes without being a communist and any foreigner working as a Marxist operative should be deported. Not to mention his ambiguous ties to foreign governments. CUAD has made statements supporting communist ideologies-through endorsements of Marxist texts, praise for revolutionary violence, and alliances with openly communist groups. Groups like: Columbia-Barnard Young Democratic Socialists of America (YDSA) Revolutionary Communist Party (RCP) student faction at Columbia fall under CUAD's umbrella, joined the CUAD protests, and explicitly call for overthrowing capitalism and seizing the means of production through revolution. This is clearly a threat to the United States. Karlie Leavitt claimed Khalil handed out pamphlets with a Hamas logo on it and didn’t provide evidence of this but it is customary for evidence to be withheld for courts during an ongoing prosecution. We don’t need those pamphlets to see what his organization represents, their own substack says it all very openly. It’s one thing for an American citizen to hold these views, but foreigners living in the U.S. and working with Marxist groups who advocate violent Communist revolution need to be deported ASAP. This is not about free speech. Trump is right. Candace Owens

ĐⱤØ₲Ø🇺🇸

37,708 次观看 • 1 年前

A 19 year old Chinese student controls an AI security system from his bed through Telegram. Types one message on his phone, the device across the room wakes up, starts watching and reports back to him like an employee. While American companies charge $100 for a Ring camera plus $4 a month for cloud, this kid spent $10 once and built something smarter. He sent a Telegram message: open maixcam and notify me if a person detected. One second later his phone buzzed back. Green checkmark. Status: Active. Monitoring: Person detection enabled. Notifications: Telegram ready. His roommate laughed. Said a $10 device can't do real security. Then someone walked past the door. The phone buzzed instantly. Person detected. Class: person. Confidence: 92.00%. Position: (120, 80). Size: 100x150. Not a blurry photo 45 seconds later like Amazon cameras. Exact data in under 1 second. What it saw, how sure it is, where the person is standing, how big they are. All through a Telegram message. He built the whole thing with Claude Code in one weekend. The AI runs directly on the device, no cloud, no subscription, no internet needed after setup. 10MB of memory. Boots in 1 second. Camera sees, chip thinks, Telegram delivers. Posted a 17 second demo. GitHub exploded. 7,400 stars in 2 days. But person detection was just the demo. A developer in Tokyo forked it and pointed it at his front door. Telegram alert with a photo every time a delivery arrives. A mom in Seoul pointed it at her baby's crib. Gets a message when the baby stands up. A business owner in Shenzhen bought 6 for $60 total, mounted them around his warehouse and replaced a $200 a month security service. His entire security system is now a Telegram group chat with 6 AI cameras. Someone commented under the GitHub repo: I'm a senior engineer at a home security company. We have a team of 8 working on person detection. This 19 year old did it alone with Claude Code on a $10 device and it works better than our product. The student isn't a machine learning engineer. He's a second year CS student who wanted to know when his roommate eats his snacks. Claude Code wrote the detection model, the Telegram bot, the alert system and the boot sequence. He just described what he wanted. The roommate who laughed now has one pointed at his own shelf. Same device, same code, same Telegram bot. He stops losing snacks. The student stops losing sleep. Everyone is paying $100 for smart cameras with $4 monthly subscriptions. China is building the same thing for $10 with a Telegram chat and Claude Code. 7,400 stars. One weekend. One student who asked Claude Code to watch his door and accidentally built something better than Ring.

A 19 year old Chinese student controls an AI security system from his bed through Telegram. Types one message on his phone, the device across the room wakes up, starts watching and reports back to him like an employee. While American companies charge $100 for a Ring camera plus $4 a month for cloud, this kid spent $10 once and built something smarter. He sent a Telegram message: open maixcam and notify me if a person detected. One second later his phone buzzed back. Green checkmark. Status: Active. Monitoring: Person detection enabled. Notifications: Telegram ready. His roommate laughed. Said a $10 device can't do real security. Then someone walked past the door. The phone buzzed instantly. Person detected. Class: person. Confidence: 92.00%. Position: (120, 80). Size: 100x150. Not a blurry photo 45 seconds later like Amazon cameras. Exact data in under 1 second. What it saw, how sure it is, where the person is standing, how big they are. All through a Telegram message. He built the whole thing with Claude Code in one weekend. The AI runs directly on the device, no cloud, no subscription, no internet needed after setup. 10MB of memory. Boots in 1 second. Camera sees, chip thinks, Telegram delivers. Posted a 17 second demo. GitHub exploded. 7,400 stars in 2 days. But person detection was just the demo. A developer in Tokyo forked it and pointed it at his front door. Telegram alert with a photo every time a delivery arrives. A mom in Seoul pointed it at her baby's crib. Gets a message when the baby stands up. A business owner in Shenzhen bought 6 for $60 total, mounted them around his warehouse and replaced a $200 a month security service. His entire security system is now a Telegram group chat with 6 AI cameras. Someone commented under the GitHub repo: I'm a senior engineer at a home security company. We have a team of 8 working on person detection. This 19 year old did it alone with Claude Code on a $10 device and it works better than our product. The student isn't a machine learning engineer. He's a second year CS student who wanted to know when his roommate eats his snacks. Claude Code wrote the detection model, the Telegram bot, the alert system and the boot sequence. He just described what he wanted. The roommate who laughed now has one pointed at his own shelf. Same device, same code, same Telegram bot. He stops losing snacks. The student stops losing sleep. Everyone is paying $100 for smart cameras with $4 monthly subscriptions. China is building the same thing for $10 with a Telegram chat and Claude Code. 7,400 stars. One weekend. One student who asked Claude Code to watch his door and accidentally built something better than Ring.

Marlow

23,453 次观看 • 4 个月前

Your hardware startup doesn't need another funding round. It needs a one-way ticket to Shenzhen The talent pool is vast and affordable, I watched two students build an entire automated tennis ball feeder prototype for the founders who started the company. Two students in a few month. The whole thing... Some areas in shenzhen offer almost no taxes for businesses and even free office space. There's an exchange center that connects foreign founders with manufacturers, partners, and lawyers for free. You don't even need initial capital to start production. Some manufacturers I connected with will produce without upfront costs and co-design with you to make the product successful. They'll drive an hour to pick you up, spend three hours taking you to factories, and dedicate an entire day getting everything set up. They're not just service providers, they’re investing in you. And the people are genuinely kind. I had issues with a power supply for my motor components, and even when they were busy, they stayed with me until it was resolved. and they work until the task is perfectly done. 996 is pretty much the norm here, but they don't seem burnt out because there's each others support, working together like a group of friends on a project. If you're building hardware, Shenzhen isn't just an option. It's the obvious one

Your hardware startup doesn't need another funding round. It needs a one-way ticket to Shenzhen The talent pool is vast and affordable, I watched two students build an entire automated tennis ball feeder prototype for the founders who started the company. Two students in a few month. The whole thing... Some areas in shenzhen offer almost no taxes for businesses and even free office space. There's an exchange center that connects foreign founders with manufacturers, partners, and lawyers for free. You don't even need initial capital to start production. Some manufacturers I connected with will produce without upfront costs and co-design with you to make the product successful. They'll drive an hour to pick you up, spend three hours taking you to factories, and dedicate an entire day getting everything set up. They're not just service providers, they’re investing in you. And the people are genuinely kind. I had issues with a power supply for my motor components, and even when they were busy, they stayed with me until it was resolved. and they work until the task is perfectly done. 996 is pretty much the norm here, but they don't seem burnt out because there's each others support, working together like a group of friends on a project. If you're building hardware, Shenzhen isn't just an option. It's the obvious one

Miyu Horiuchi

41,773 次观看 • 6 个月前

Grok Bot is not just another chatbot. It is an always-on AI teammate with its own computer. It can sign in to your tools, work across apps, inboxes and websites, keep working 24/7 and return with finished work. Here are 100 useful tasks you could give Grok Bot: Sales: • Research companies, customers, leads and competitors • Build targeted lists of potential customers • Find and score high-intent sales prospects • Enrich contact details and company records • Draft personalized emails and LinkedIn messages • Turn call transcripts into CRM notes and follow-ups • Prepare detailed account briefs before meetings • Keep CRM records and customer details updated • Flag stalled deals, risks and overdue next steps • Prepare weekly sales reports and pipeline scoreboards Marketing and content: • Research content ideas and trending topics • Prepare marketing campaign briefs • Create and manage campaigns across different tools • Research competitors’ marketing strategies • Build weekly or monthly content calendars • Repurpose content for social media, email and other platforms • Draft social posts, newsletters and blog content • Create multiple versions of advertisements and copy • Monitor brand mentions and prepare responses • Prepare campaign performance reports Inbox and administration: • Monitor your inbox and organize emails • Draft replies in your preferred writing style • Create a daily summary of important messages • Extract tasks, deadlines and action items from emails • Follow up on stalled conversations and forgotten tasks • Prepare meeting agendas and discussion points • Turn meeting notes into tasks and follow-ups • Organize email attachments and cloud files • Enter information into forms and internal systems • Update project trackers, documents and dashboards Finance and operations: • Process invoices received through Gmail • Extract invoice information automatically • Match invoices with purchase orders • Track expenses and prepare finance updates • Organize receipts and expense claims • Clean and reconcile financial spreadsheets • Compare vendor prices and prepare recommendations • Monitor software subscriptions and renewals • Track inventory and flag low supplies • Handle repetitive office operations Hiring and HR: • Help onboard new employees • Organize seating, accounts and equipment for new hires • Draft job descriptions • Research and identify potential candidates • Organize applications and candidate information • Coordinate interview schedules • Prepare candidate briefs before interviews • Combine interview feedback into one report • Create training materials and onboarding guides • Prepare employee offboarding checklists Customer support and success: • Monitor incoming customer requests • Create and categorize support tickets • Prioritize urgent customer issues • Draft customer support replies • Search internal documentation for answers • Escalate important problems to the correct team • Send product updates to customers • Keep follow-up tasks synchronized across tools • Prepare customer health and renewal reports • Turn customer feedback into clear themes Product and engineering: • Prepare and test product demo environments • Fix stale demo data and create readiness checklists • Reproduce software bugs inside the product interface • File detailed bug reports with steps and evidence • Hand bugs to another debugging Bot to work on fixes • Test websites and apps for common problems • Run repetitive quality-assurance checks • Test logins, forms, buttons and checkout flows • Update project boards and release notes • Turn user feedback into organized feature requests Research and reporting: • Conduct detailed web research • Collect sources and prepare cited summaries • Compare competitors’ products and pricing • Monitor industry news and important announcements • Organize research findings into tables • Clean and analyze large spreadsheets • Create daily, weekly or monthly reports • Update internal dashboards with new information • Prepare presentation outlines and meeting briefs • Summarize long documents, emails and transcripts E-commerce and online business: • Update product listings across platforms • Check inventory and identify low-stock products • Monitor competitors’ prices • Analyze customer reviews and common complaints • Track delayed or problematic orders • Prepare return and refund cases for approval • Follow up with vendors about missing orders • Create promotional campaign drafts • Clean product catalogs and remove outdated information • Prepare daily store performance summaries Events and project management: • Research venues, vendors and service providers • Compare quotes and prepare options • Create event checklists and timelines • Coordinate invitations and attendee lists • Track project deadlines and responsibilities • Remind team members about overdue work • Collect progress updates from different tools • Prepare weekly project status reports • Identify blockers before they delay a project • Keep everyone aligned on the latest information Bots, routines and automation: • Watch you complete a workflow and learn how you do it • Save workflows as reusable routines • Repeat multi-step tasks without being taught again • Learn your voice, preferences and edge cases • Manage several specialist Bots simultaneously • Let Bots communicate and share information • Place Bots in group chats to coordinate work • Use one chief-of-staff Bot to manage the others • Run research, reporting and other jobs overnight • Ask for your approval only when a decision requires you You can message Grok Bot like a coworker, teach it how you prefer things done and let it improve over time. The real value is not just getting an answer. It is handing off an entire job and getting finished work back.

DogeDesigner

83,462 次观看 • 20 天前

⚾️ It is no secret that elbow injuries, specifically UCL injuries, have been on a rise in recent years ➡️ The reason for this is so multi-factorial that it is impossible to pinpoint any 1 reason for an injury 💪 With the constant improvement in the development of pitchers, both skill side and S&C, we are seeing an increase in velocity across all levels of baseball 🎟This is obviously a Great thing for Punching Tickets but also leads to more forces being passed through the medial elbow 🔥There are really 3 proactive actions we actions we can take to counteract this: 1) Address pitching mechanics if there are deficiencies 2) Appropriately manage chronic/acute AND Total workloads 3) Increase the capacity and stress the elbow can handle 🔥 We will specifically dive in to the 3rd component of this in this thread. In short, the answer is simple, GET STRONG FOREARMS 3 WAYS VALGUS FORCE IS DISPERSED ✅ Radiocapitellar Joint Compression When a valgus stress is applied to the elbow, it is attempting to open up or gap the medial (inside) portion of the elbow. This is also the Orthopedic Test for a UCL injury. While this force is trying to gap the medial portion of the elbow, it is also compressing the lateral side. When the radius and lateral humerus compress, this acts as a stopping point for the elbow going into that valgus motion ✅ Forearm Musculature In addition to the UCL on the medial side of the elbow, there is also a group of forearm muscles that span that area and attach to the same portion of the elbow, the medial epicondyle. These muscles include: Pronator Teres, Flexor Carpi Ulnaris, Flexor Carpi Radialis, Flexor Digitorum Superfiscialis, and the Palmaris Longus. With that specific attachment to the medial epicondyle and their respective distal attachments, these do a great job of accepting the valgus force and protecting the UCL. There is some research that states FCU does the best job of the muscles listed, but we believe the best action is to strengthen all of them. The best ways to attack this is with movements including: finger flexion, wrist flexion, Ulnar deviation (moving pinky towards medial elbow), and Pronation of the forearm ✅ Ulnar Collateral Ligament (UCL) What doesn’t get absorbed by the first two structures is placed on the UCL. Previous research has shown that a UCL with no other structures involved is able to withstand ~35 nm of force before failure The Problem is: Every Pitch produces far more than 35nm of Valgus Stress. This shows us just how important the other 2 mechanisms are! * Exercises in the videos should be a complement to your entire S&C Program and is not designed to replace it

⚾️ It is no secret that elbow injuries, specifically UCL injuries, have been on a rise in recent years ➡️ The reason for this is so multi-factorial that it is impossible to pinpoint any 1 reason for an injury 💪 With the constant improvement in the development of pitchers, both skill side and S&C, we are seeing an increase in velocity across all levels of baseball 🎟This is obviously a Great thing for Punching Tickets but also leads to more forces being passed through the medial elbow 🔥There are really 3 proactive actions we actions we can take to counteract this: 1) Address pitching mechanics if there are deficiencies 2) Appropriately manage chronic/acute AND Total workloads 3) Increase the capacity and stress the elbow can handle 🔥 We will specifically dive in to the 3rd component of this in this thread. In short, the answer is simple, GET STRONG FOREARMS 3 WAYS VALGUS FORCE IS DISPERSED ✅ Radiocapitellar Joint Compression When a valgus stress is applied to the elbow, it is attempting to open up or gap the medial (inside) portion of the elbow. This is also the Orthopedic Test for a UCL injury. While this force is trying to gap the medial portion of the elbow, it is also compressing the lateral side. When the radius and lateral humerus compress, this acts as a stopping point for the elbow going into that valgus motion ✅ Forearm Musculature In addition to the UCL on the medial side of the elbow, there is also a group of forearm muscles that span that area and attach to the same portion of the elbow, the medial epicondyle. These muscles include: Pronator Teres, Flexor Carpi Ulnaris, Flexor Carpi Radialis, Flexor Digitorum Superfiscialis, and the Palmaris Longus. With that specific attachment to the medial epicondyle and their respective distal attachments, these do a great job of accepting the valgus force and protecting the UCL. There is some research that states FCU does the best job of the muscles listed, but we believe the best action is to strengthen all of them. The best ways to attack this is with movements including: finger flexion, wrist flexion, Ulnar deviation (moving pinky towards medial elbow), and Pronation of the forearm ✅ Ulnar Collateral Ligament (UCL) What doesn’t get absorbed by the first two structures is placed on the UCL. Previous research has shown that a UCL with no other structures involved is able to withstand ~35 nm of force before failure The Problem is: Every Pitch produces far more than 35nm of Valgus Stress. This shows us just how important the other 2 mechanisms are! * Exercises in the videos should be a complement to your entire S&C Program and is not designed to replace it

Armored Heat

33,221 次观看 • 3 年前

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Varun

309,460 次观看 • 4 个月前

68 college students played video games an hour a day for 30 weeks. They got measurably smarter. EEG brain scans confirmed it. The setup was simple. Half the group played League of Legends, an action game. The other half played Legends of the Three Kingdoms, a strategy card game. Same hours, same schedule, no gaming experience for anyone going in. Both groups improved on attention, working memory, and executive function. The League group's gains were significantly larger in spatial attention and spatial working memory. The benefits were still measurable 10 weeks after the gaming stopped. None of this is new. Daphne Bavelier's lab at the University of Geneva has been replicating this finding since the early 2000s. Her 2018 meta-analysis in Psychological Bulletin pulled data from 8,970 participants across 15 years and found the same thing. Action games train attentional control, a brain skill that transfers to other tasks. Strategy games train deliberation, which mostly stays inside the strategy game. The mechanism is the counterintuitive part. Action games train your brain by giving you no time to think. The brain can't deliberate. League of Legends throws 9 champions, hundreds of minions, dozens of abilities, mana, cooldowns, and map state at you, all updating in milliseconds. The brain learns to perceive faster instead. That perceptual speed transfers to anything else that demands the same skill. Including surgery. The 2007 Rosser study in Archives of Surgery found that laparoscopic surgeons who played video games more than 3 hours a week made 37% fewer errors, completed procedures 27% faster, and scored 42% higher on overall performance. The top third of gamers made 47% fewer errors. Laparoscopic surgery is a 2D screen with distorted depth perception, remote-controlled instruments, and multiple data streams updating in real time. The cognitive profile is almost identical to an action video game. The 10-week persistence is the part that should change how this gets discussed. If the gains were just from practicing the game, they would have disappeared the moment the students stopped playing. They didn't. The 30 weeks rewired the perceptual system, and the rewiring stayed.

Aakash Gupta

1,418,028 次观看 • 4 个月前

🇺🇸Remembering Nathan Hardy🇺🇸 Like so many young men with a sense of purpose, he chose a life of service enlisting in the U.S. Navy at just 17. What followed was years of relentless training, discipline, and sacrifice. From Great Lakes to Coronado, from airborne school to SEAL qualification, he pushed himself beyond limits most will never understand. He became one of the few … an elite Navy SEAL. Nathan served with SEAL Team EIGHT, deployed overseas, learned Arabic, and returned again and again to serve wherever he was needed. His life was defined not by comfort, but by commitment, to his country, to his teammates, and to something bigger than himself. In July 2007, he joined the Naval Special Warfare Development Group. On February 4, 2008, in Iraq, Nathan Hardy was killed in action. He was 29 years old. He was laid to rest at Arlington National Cemetery. Behind the dates and assignments is a life of courage, sacrifice, and quiet heroism. A son. A teammate. A man who gave everything. And because of that… he will never be forgotten.🙏

🇺🇸Remembering Nathan Hardy🇺🇸 Like so many young men with a sense of purpose, he chose a life of service enlisting in the U.S. Navy at just 17. What followed was years of relentless training, discipline, and sacrifice. From Great Lakes to Coronado, from airborne school to SEAL qualification, he pushed himself beyond limits most will never understand. He became one of the few … an elite Navy SEAL. Nathan served with SEAL Team EIGHT, deployed overseas, learned Arabic, and returned again and again to serve wherever he was needed. His life was defined not by comfort, but by commitment, to his country, to his teammates, and to something bigger than himself. In July 2007, he joined the Naval Special Warfare Development Group. On February 4, 2008, in Iraq, Nathan Hardy was killed in action. He was 29 years old. He was laid to rest at Arlington National Cemetery. Behind the dates and assignments is a life of courage, sacrifice, and quiet heroism. A son. A teammate. A man who gave everything. And because of that… he will never be forgotten.🙏

Lucy

37,973 次观看 • 4 个月前

Isn't it strange that the grandfathers of two of the most powerful men in America, and the uncle of the third, were all involved in major scientific, technological, or government projects? Just a coincidence? Donald Trump's uncle, John G. Trump, was a renowned MIT scientist who worked on advanced military technologies during World War II and was entrusted with reviewing the papers of Nikola Tesla after his death. Jeff Bezos' grandfather, Lawrence Preston Gise, held a key position within the U.S. Atomic Energy Commission, one of the institutions overseeing America's nuclear program during the Cold War and one of the most strategically important technological sectors of the era. Elon Musk's grandfather, Joshua N. Haldeman, was a leading member of the Technocracy movement, which envisioned a future governed by scientists, engineers, and technological expertise rather than traditional politicians. Today, Trump is one of the most influential political figures in America and the sitting president. Bezos built one of the world's largest corporations and controls a significant portion of the world's cloud computing infrastructure. Musk leads some of the most important technology companies on Earth and maintains a close relationship with the political establishment. These people are not here by accident. They are all part of an ancient royal control group. Posts like this have gotten my account flagged, but I have something even more interesting involving a lost civilization and ties to a certain member of this group. That post will be for my subscribers, the true supporters of my work, who are now going to be the pillars of my research, as X and Nikita Bier have done significant damage to my account.

Isn't it strange that the grandfathers of two of the most powerful men in America, and the uncle of the third, were all involved in major scientific, technological, or government projects? Just a coincidence? Donald Trump's uncle, John G. Trump, was a renowned MIT scientist who worked on advanced military technologies during World War II and was entrusted with reviewing the papers of Nikola Tesla after his death. Jeff Bezos' grandfather, Lawrence Preston Gise, held a key position within the U.S. Atomic Energy Commission, one of the institutions overseeing America's nuclear program during the Cold War and one of the most strategically important technological sectors of the era. Elon Musk's grandfather, Joshua N. Haldeman, was a leading member of the Technocracy movement, which envisioned a future governed by scientists, engineers, and technological expertise rather than traditional politicians. Today, Trump is one of the most influential political figures in America and the sitting president. Bezos built one of the world's largest corporations and controls a significant portion of the world's cloud computing infrastructure. Musk leads some of the most important technology companies on Earth and maintains a close relationship with the political establishment. These people are not here by accident. They are all part of an ancient royal control group. Posts like this have gotten my account flagged, but I have something even more interesting involving a lost civilization and ties to a certain member of this group. That post will be for my subscribers, the true supporters of my work, who are now going to be the pillars of my research, as X and Nikita Bier have done significant damage to my account.

Open Minded Approach

50,168 次观看 • 3 个月前

In a shocking incident that has sent waves of outrage across #Karnataka, three labourers working at a brick kiln near #StarChowk in #GandhiNagar, #Vijayapura, were brutally attacked by their employer and his associates. The assailants not only carried out the attack but also filmed the horrifying act and posted it on Instagram, leaving viewers disturbed by the brutality. The victims, identified as Sadashiva Basappa Madara (27), Sadashiva Chandrappa Babaladi (38), and Umesh Malappa Madara (25), hailed from #Chikkaliki village in #Jamkhandi taluk of #Bagalkot district. They had taken an advance payment from the brick kiln owner, #KhemuRathod, and travelled home to celebrate the Sankranti festival. However, their delayed return to work enraged Rathod, who resorted to violent retaliation. The horrifying incident occurred at a brick kiln on #SindagiRoad, owned by Khemu Rathod. Rathod, along with his son and 15 other individuals, confined the three workers to a room for three days. The attackers reportedly beat the workers with pipes, assaulting them every 15 minutes. Despite the workers pleading for mercy, the brutality continued unabated. The video of the attack, which has gone viral on social media, shows the victims begging for the beating to stop while the assailants carried on mercilessly. The graphic nature of the footage has sparked outrage, with many calling it a “demonic act.” The injured workers were eventually taken to the Vijayapura District Hospital for treatment. The incident, which falls under the jurisdiction of the Vijayapura Rural Police Station, is under investigation. Authorities are working to bring the perpetrators to justice, and further action against Rathod and his accomplices is expected soon. The viral video has drawn widespread condemnation, with people expressing outrage over the inhumane treatment of workers. Many have called for stricter measures to prevent such incidents and ensure the safety of labourers. In a separate case, a youth from West Bengal was assaulted in Bengaluru over a dispute involving cigarettes. Rajesh Das, a delivery boy working in the #Doddanekundi area, was attacked by a group of youths, including two minors. The altercation reportedly started when Das asked for a cigarette from one of the accused, Adarsh Adesh, who responded with abuse. The situation escalated, and the group, including Chandra Shekhar and Pawan, brutally beat Das using sticks and a helmet. The assault was also captured on video and shared online. Police have arrested three of the accused, while two minors remain at large.

In a shocking incident that has sent waves of outrage across #Karnataka, three labourers working at a brick kiln near #StarChowk in #GandhiNagar, #Vijayapura, were brutally attacked by their employer and his associates. The assailants not only carried out the attack but also filmed the horrifying act and posted it on Instagram, leaving viewers disturbed by the brutality. The victims, identified as Sadashiva Basappa Madara (27), Sadashiva Chandrappa Babaladi (38), and Umesh Malappa Madara (25), hailed from #Chikkaliki village in #Jamkhandi taluk of #Bagalkot district. They had taken an advance payment from the brick kiln owner, #KhemuRathod, and travelled home to celebrate the Sankranti festival. However, their delayed return to work enraged Rathod, who resorted to violent retaliation. The horrifying incident occurred at a brick kiln on #SindagiRoad, owned by Khemu Rathod. Rathod, along with his son and 15 other individuals, confined the three workers to a room for three days. The attackers reportedly beat the workers with pipes, assaulting them every 15 minutes. Despite the workers pleading for mercy, the brutality continued unabated. The video of the attack, which has gone viral on social media, shows the victims begging for the beating to stop while the assailants carried on mercilessly. The graphic nature of the footage has sparked outrage, with many calling it a “demonic act.” The injured workers were eventually taken to the Vijayapura District Hospital for treatment. The incident, which falls under the jurisdiction of the Vijayapura Rural Police Station, is under investigation. Authorities are working to bring the perpetrators to justice, and further action against Rathod and his accomplices is expected soon. The viral video has drawn widespread condemnation, with people expressing outrage over the inhumane treatment of workers. Many have called for stricter measures to prevent such incidents and ensure the safety of labourers. In a separate case, a youth from West Bengal was assaulted in Bengaluru over a dispute involving cigarettes. Rajesh Das, a delivery boy working in the #Doddanekundi area, was attacked by a group of youths, including two minors. The altercation reportedly started when Das asked for a cigarette from one of the accused, Adarsh Adesh, who responded with abuse. The situation escalated, and the group, including Chandra Shekhar and Pawan, brutally beat Das using sticks and a helmet. The assault was also captured on video and shared online. Police have arrested three of the accused, while two minors remain at large.

Hate Detector 🔍

20,826 次观看 • 1 年前