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Force-sensing fingers! 🧤 Stanford researchers just released UMI-FT, a handheld data collection platform that puts compact six-axis force/torque sensors on each finger, enabling finger-level wrench measurements alongside RGB, depth, and pose data. Many manipulation tasks require careful force modulation: too little force and the task fails, too much and...

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Lukas Ziegler

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12,868 görüntüleme • 7 ay önce •via X (Twitter)

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Klajd Lika` profil fotoğrafı
Klajd Lika`7 ay önce

Amazing work by Stanford! Here is another version of force sensing at fingers that complements with extreme robustness and reliability. @BotaSystems sponsors that for researchers that want to start collecting data for Physical AI today.

Michelle Dickinson PhD profil fotoğrafı
Michelle Dickinson PhD7 ay önce

Giving robots “fingertip feel” is such a big step from just seeing the world to actually handling it.​ It also feels like a perfect bridge tech for teaching foundation models about forces, not just pixels. Whiteboard wipes and zucchini skewering today, delicate lab work and who knows what next tomorrow!

Rana Re profil fotoğrafı
Rana Re7 ay önce

given that there is limited training data, robotics can move forward only when a Hand Universal Design is used by everyone, and training data is shared where possible. I feel without that it will be just wasting resources

Winston profil fotoğrafı
Winston7 ay önce

One real bottleneck in robotics is hands. Grippers and fingers concentrate the hard problems: sensors, materials, geometry, and real-time processing. Without them, AI perceives. With them, AI interacts with the physical world.

devin aura profil fotoğrafı
devin aura7 ay önce

how would one apply this to the unitree g1 edu?

Peyman Servati profil fotoğrafı
Peyman Servati7 ay önce

If only they knew about @TexavieInc 5k1n tactile gloves! 🙂

ZeroToRobot profil fotoğrafı
ZeroToRobot7 ay önce

这项技术为精细操作研究提供了前所未有的数据采集能力，有望推动机器人灵巧度的进一步提升

Benzer Videolar

Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:20

Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,249 görüntüleme • 6 ay önce

Meta just open-sourced its dexterity stack! 🪬 Most physics simulators were built for things that move through space. Walking robots, drones, cars. Contact is the part they approximate worst, and obviously dexterous manipulation is nothing but contact. Project SuperDex, from Meta Reality Labs Research, is built the other way around, a contact-first physics engine with the whole platform stacked on top of it. The cool part is that it's on GitHub. The engine runs one solver across rigid bodies, soft bodies, rods and tendons, shells and cloth, in the same model. → Non-convex collision with accurate contact force distributions, so a multi-finger grasp gets simulated rather than approximated → Tactile sensors and soft contact as first-class primitives → Numerical stability without the tight time-step limits explicit solvers force on you → Constraint-aware inverse kinematics running on the same optimization core as the forward dynamics Then the data layer. Put on a Quest 3, teleoperate the simulated hand with haptic feedback, and generate demonstration datasets without touching real hardware. They show a shape-sorting policy trained entirely in simulation and deployed zero-shot on a real robotic hand. Robot hands are getting good. Data for them isn't that fast. Meta is betting the cheapest way to collect contact-rich demonstrations is a headset people already own, pointed at a simulator instead of a game. 🔗 Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:21

Meta just open-sourced its dexterity stack! 🪬 Most physics simulators were built for things that move through space. Walking robots, drones, cars. Contact is the part they approximate worst, and obviously dexterous manipulation is nothing but contact. Project SuperDex, from Meta Reality Labs Research, is built the other way around, a contact-first physics engine with the whole platform stacked on top of it. The cool part is that it's on GitHub. The engine runs one solver across rigid bodies, soft bodies, rods and tendons, shells and cloth, in the same model. → Non-convex collision with accurate contact force distributions, so a multi-finger grasp gets simulated rather than approximated → Tactile sensors and soft contact as first-class primitives → Numerical stability without the tight time-step limits explicit solvers force on you → Constraint-aware inverse kinematics running on the same optimization core as the forward dynamics Then the data layer. Put on a Quest 3, teleoperate the simulated hand with haptic feedback, and generate demonstration datasets without touching real hardware. They show a shape-sorting policy trained entirely in simulation and deployed zero-shot on a real robotic hand. Robot hands are getting good. Data for them isn't that fast. Meta is betting the cheapest way to collect contact-rich demonstrations is a headset people already own, pointed at a simulator instead of a game. 🔗 Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

60,286 görüntüleme • 24 gün önce

I was really impressed by the UMI gripper (Cheng Chi et al.), but a key limitation is that **force-related data wasn’t captured**: humans feel haptic feedback through the mechanical springs, but the robot couldn’t leverage that info, limiting the data’s value for fine-grained manipulation tasks. Led by my amazing students Yolanda Zhu and Binghao Huang, we designed a **portable visuo-tactile gripper** by integrating our dense, flexible tactile arrays with the UMI gripper to enable large-scale in-the-wild data collection. 🔗 We demonstrate **cross-modal representation learning** and **downstream policy learning** on tasks requiring in-hand state estimation (e.g., test tube reorientation) and fine-grained force sensing (e.g., pipette fluid transfer). Key takeaways: - Our flexible tactile arrays store the rich haptic information humans perceive as dense tactile signals. - Portability and robustness are key for in-the-wild data collection; our portable gripper is compact, lightweight, and durable. - Touch provides precise, robust measurements of in-hand object pose, invariant to lighting and viewpoint. - Cross-modal pretraining on large-scale in-the-wild data significantly improves policy robustness and sample efficiency (as shown many times before — and verified again here!). Also check out our previous investigations of dense, flexible tactile grids for understanding human-robot-environment interactions: - Dense tactile glove (Nature ’19): - 3D-ViTac (CoRL ’24):
5:35

I was really impressed by the UMI gripper (Cheng Chi et al.), but a key limitation is that **force-related data wasn’t captured**: humans feel haptic feedback through the mechanical springs, but the robot couldn’t leverage that info, limiting the data’s value for fine-grained manipulation tasks. Led by my amazing students Yolanda Zhu and Binghao Huang, we designed a **portable visuo-tactile gripper** by integrating our dense, flexible tactile arrays with the UMI gripper to enable large-scale in-the-wild data collection. 🔗 We demonstrate **cross-modal representation learning** and **downstream policy learning** on tasks requiring in-hand state estimation (e.g., test tube reorientation) and fine-grained force sensing (e.g., pipette fluid transfer). Key takeaways: - Our flexible tactile arrays store the rich haptic information humans perceive as dense tactile signals. - Portability and robustness are key for in-the-wild data collection; our portable gripper is compact, lightweight, and durable. - Touch provides precise, robust measurements of in-hand object pose, invariant to lighting and viewpoint. - Cross-modal pretraining on large-scale in-the-wild data significantly improves policy robustness and sample efficiency (as shown many times before — and verified again here!). Also check out our previous investigations of dense, flexible tactile grids for understanding human-robot-environment interactions: - Dense tactile glove (Nature ’19): - 3D-ViTac (CoRL ’24):

Yunzhu Li

13,188 görüntüleme • 1 yıl önce

A policy that teaches robot hands to touch things the way humans do... not just grab and move, but feel and adjust in real time. Robot manipulation research often stops at picking up objects and placing them. CGP goes further: it handles tasks like opening jars, flipping objects in-hand, wiping dishes, and grasping fragile eggs, the kind of dexterous, contact-rich skills that require constant micro-adjustments based on what the fingers are actually feeling. The robot doesn't just see what it's doing; it predicts what contact should feel like at each step, then checks whether reality matches the prediction. If a finger is slipping, the policy knows before the object drops. Works on real robot hands (both 4-finger and 5-finger designs) with tactile sensors embedded in the fingertips Robust to visual distractions! The robot keeps flipping a box correctly even when the camera view is disrupted, because it's grounding decisions in touch, not just vision. Baseline policies without contact grounding fail in predictable ways: slipping mid-task, incomplete motions, loss of grasp, CGP avoids these This is a meaningful step toward robots that can handle the physical world with the kind of reliable, adaptive grip that humans take for granted. Relevant for manufacturing, logistics, assistive robotics, and anywhere fragile or irregular objects need to be handled carefully. Published at RSS 2026, developed with Meta Reality Labs Research. Thanks for sharing, Zhengtong Xu / Zhengtong Xu ——- Weekly robotics and AI insights. Subscribe free:
0:36

A policy that teaches robot hands to touch things the way humans do... not just grab and move, but feel and adjust in real time. Robot manipulation research often stops at picking up objects and placing them. CGP goes further: it handles tasks like opening jars, flipping objects in-hand, wiping dishes, and grasping fragile eggs, the kind of dexterous, contact-rich skills that require constant micro-adjustments based on what the fingers are actually feeling. The robot doesn't just see what it's doing; it predicts what contact should feel like at each step, then checks whether reality matches the prediction. If a finger is slipping, the policy knows before the object drops. Works on real robot hands (both 4-finger and 5-finger designs) with tactile sensors embedded in the fingertips Robust to visual distractions! The robot keeps flipping a box correctly even when the camera view is disrupted, because it's grounding decisions in touch, not just vision. Baseline policies without contact grounding fail in predictable ways: slipping mid-task, incomplete motions, loss of grasp, CGP avoids these This is a meaningful step toward robots that can handle the physical world with the kind of reliable, adaptive grip that humans take for granted. Relevant for manufacturing, logistics, assistive robotics, and anywhere fragile or irregular objects need to be handled carefully. Published at RSS 2026, developed with Meta Reality Labs Research. Thanks for sharing, Zhengtong Xu / Zhengtong Xu ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

12,854 görüntüleme • 3 ay önce

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:26

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

40,583 görüntüleme • 5 ay önce

Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:57

Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

289,657 görüntüleme • 4 ay önce

What if a dexterous robot could learn a 20+ step chemistry experiment without a single on-robot training demo? Meet TwinDEX: a pair of co-designed, three-finger, nine-DoF dexterous manipulation interface: one wearable for data collection, one for robot deployment. The twinned design shares identical kinematics, contact surfaces, visual appearance, and sensors across collection and deployment — keeping observations and actions aligned end to end. Trained from scratch on only a few hundred wearable demonstrations - with zero on-robot training or intervention data - TwinDEX completed a standardized chemistry experiment involving tool switches, fine force control, and bimanual coordination. Robot-free data showed comparable learning efficiency on the multi-task evaluation, TwinDEX delivered 5.3 times effective throughput than on-robot teleoperation. TwinDEX demonstrates that high-quality robot-free data can fully substitute for on-robot teleoperation data on challenging dexterous tasks — removing the dependency on real-robot hardware that has been the central bottleneck to scaling dexterous manipulation data. This was the proof-it phase. Now comes scale: what emerges at tens of thousands, or millions, of episodes? Watch the demo and read the technical blog: #TwinDEX #Robotics #EmbodiedAI #DexterousManipulation
4:31

What if a dexterous robot could learn a 20+ step chemistry experiment without a single on-robot training demo? Meet TwinDEX: a pair of co-designed, three-finger, nine-DoF dexterous manipulation interface: one wearable for data collection, one for robot deployment. The twinned design shares identical kinematics, contact surfaces, visual appearance, and sensors across collection and deployment — keeping observations and actions aligned end to end. Trained from scratch on only a few hundred wearable demonstrations - with zero on-robot training or intervention data - TwinDEX completed a standardized chemistry experiment involving tool switches, fine force control, and bimanual coordination. Robot-free data showed comparable learning efficiency on the multi-task evaluation, TwinDEX delivered 5.3 times effective throughput than on-robot teleoperation. TwinDEX demonstrates that high-quality robot-free data can fully substitute for on-robot teleoperation data on challenging dexterous tasks — removing the dependency on real-robot hardware that has been the central bottleneck to scaling dexterous manipulation data. This was the proof-it phase. Now comes scale: what emerges at tens of thousands, or millions, of episodes? Watch the demo and read the technical blog: #TwinDEX #Robotics #EmbodiedAI #DexterousManipulation

X Square Robot

1,342,798 görüntüleme • 18 gün önce

🚨 BREAKING: Microsoft's first robotics foundation model! 🤯 Microsoft just announced Rho-alpha (ρα), their first robotics model derived from the Phi series of vision-language models. Rho-alpha translates natural language commands into control signals for robotic systems performing bimanual manipulation tasks. Commands like "push the green button with the right gripper," "pull out the red wire," "flip the top switch on," or "turn the knob to position 5" get executed directly by dual-arm robots. What makes this different from standard vision-language-action (VLA) models is the additional modalities. Rho-alpha is a VLA+ model that adds tactile sensing to the perceptual mix, with plans to incorporate force feedback. On the learning side, the model is designed to continually improve during deployment by learning from human feedback. The training approach combines trajectories from physical demonstrations and simulated tasks with web-scale visual question answering data. Since teleoperation data is scarce and expensive, Microsoft is using NVIDIA Isaac Sim on Azure to generate physically accurate synthetic datasets via reinforcement learning. These simulated trajectories get combined with commercial and open physical demonstration datasets. The model is currently under evaluation on dual-arm setups and humanoid robots. Microsoft is opening an Early Access Program for organizations interested in evaluating Rho-alpha. Robots that can adapt to dynamic situations and human preferences are more useful in real environments and more trusted by the people operating them. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:34

🚨 BREAKING: Microsoft's first robotics foundation model! 🤯 Microsoft just announced Rho-alpha (ρα), their first robotics model derived from the Phi series of vision-language models. Rho-alpha translates natural language commands into control signals for robotic systems performing bimanual manipulation tasks. Commands like "push the green button with the right gripper," "pull out the red wire," "flip the top switch on," or "turn the knob to position 5" get executed directly by dual-arm robots. What makes this different from standard vision-language-action (VLA) models is the additional modalities. Rho-alpha is a VLA+ model that adds tactile sensing to the perceptual mix, with plans to incorporate force feedback. On the learning side, the model is designed to continually improve during deployment by learning from human feedback. The training approach combines trajectories from physical demonstrations and simulated tasks with web-scale visual question answering data. Since teleoperation data is scarce and expensive, Microsoft is using NVIDIA Isaac Sim on Azure to generate physically accurate synthetic datasets via reinforcement learning. These simulated trajectories get combined with commercial and open physical demonstration datasets. The model is currently under evaluation on dual-arm setups and humanoid robots. Microsoft is opening an Early Access Program for organizations interested in evaluating Rho-alpha. Robots that can adapt to dynamic situations and human preferences are more useful in real environments and more trusted by the people operating them. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

61,026 görüntüleme • 8 ay önce

Junior’s “Bump Boom Boom” show story time: chaos gang edition 😂🦍🐒 #jimmyyjp #junniorrs #fforce_ #LOLFanFest2026 🌞: I call this unit the "Zoo Wildlife" unit. I tell people that one group is like the king kongs, the kings of the jungle while another group is like chimpanzees, basically baby monkeys. Which show do you think this story belongs to? 🌞: Alright, I’ll tell you. This story is about the "Bump Boom Boom" gang show. In the industry, they call it "M3" for short. When they work, they refer to this song as M3. The first time this group gathered to rehearse, Sea was the only one missing because he was off practicing his "star-climbing" or "hanging-from-a-star" routine at the time. So back then, it was just Force, Book, Ju, Mark, and Jimmy. On the very first day of learning the choreography, they blasted the music so loud that the bass from Bump Boom Boom made your heart stop like, how can anyone survive this sound? 🌞: We were learning the choreography, and on day one, Jimmy was really quick on his feet. He remembered the moves perfectly. But because he's so smart and his brain processes a lot of data, whenever too much information gets crammed in, he blanks out. He has to come back, review it, and then he remembers it forever. 🌞: But there was this one person... from the very first day of rehearsal all the way until the day we were about to hit the stage, he was still dancing off-beat. And that is none other than Mr. Force! A behind-the-scenes clip has already been released by Mae Yui. You can go check it out on Mae Yui’s X account. You’ll see three guys standing in front of the mirror: Jimmy, Force, and Junior practicing the moves. 🕺🕺🕺 🌞: Force couldn't get it because his heart was always set on this move (hips thrust). Seriously, Force can never catch the beat for any other dance move, but for that one? he gets it instantly! And you know what the funniest thing about Force is? Early on, he couldn't even remember the main choreography. 🌞: Then came the part where we split into two sides: Sea-Mark-Book and Ju-Jim-Force. Force went, "Can I add an extra move? I want to dance like this." He even came to pitch it one day, saying, "Hey guys, there are three of us here, let's dance like this, like this," 👯‍♂️👯‍♂️ while making a totally goofy face 🤪🤪🤪. And it was a difficult move too! Honestly, bro, get the original choreography right first! So, he eventually scrapped that plan. 🌞: But Force is a really chill guy. He’s laid-back and doesn't get stressed easily. He knows that eventually, one way or another, he’ll get it down and reach his goal one day, so he's fine. But you know what’s so cute about him? On the day of the first run-through, he knew he was the only one in the gang who wasn't dancing in sync yet. Mae Yui came over and said, "Force, you're not in sync with your friends yet, sweetie. You need to practice the moves." At first, Force was scared, but he tried to act cool like, "Oh, it's chill, Mae, it's chill." A moment later, just as they were about to start the run-through, Force was spotted over in the corner 🕺 facing the wall like this, having the instructor coach him closely. And what did he do next? He kept practicing by himself, separate from the group. Isn't that adorable? There was no way he was going to let this show turn out out-of-sync. And just like everyone saw, everything went beautifully, and they danced with so much energy in that show. Yes, guys, that was the "Bump Boom Boom" show!
3:47

Junior’s “Bump Boom Boom” show story time: chaos gang edition 😂🦍🐒 #jimmyyjp #junniorrs #fforce_ #LOLFanFest2026 🌞: I call this unit the "Zoo Wildlife" unit. I tell people that one group is like the king kongs, the kings of the jungle while another group is like chimpanzees, basically baby monkeys. Which show do you think this story belongs to? 🌞: Alright, I’ll tell you. This story is about the "Bump Boom Boom" gang show. In the industry, they call it "M3" for short. When they work, they refer to this song as M3. The first time this group gathered to rehearse, Sea was the only one missing because he was off practicing his "star-climbing" or "hanging-from-a-star" routine at the time. So back then, it was just Force, Book, Ju, Mark, and Jimmy. On the very first day of learning the choreography, they blasted the music so loud that the bass from Bump Boom Boom made your heart stop like, how can anyone survive this sound? 🌞: We were learning the choreography, and on day one, Jimmy was really quick on his feet. He remembered the moves perfectly. But because he's so smart and his brain processes a lot of data, whenever too much information gets crammed in, he blanks out. He has to come back, review it, and then he remembers it forever. 🌞: But there was this one person... from the very first day of rehearsal all the way until the day we were about to hit the stage, he was still dancing off-beat. And that is none other than Mr. Force! A behind-the-scenes clip has already been released by Mae Yui. You can go check it out on Mae Yui’s X account. You’ll see three guys standing in front of the mirror: Jimmy, Force, and Junior practicing the moves. 🕺🕺🕺 🌞: Force couldn't get it because his heart was always set on this move (hips thrust). Seriously, Force can never catch the beat for any other dance move, but for that one? he gets it instantly! And you know what the funniest thing about Force is? Early on, he couldn't even remember the main choreography. 🌞: Then came the part where we split into two sides: Sea-Mark-Book and Ju-Jim-Force. Force went, "Can I add an extra move? I want to dance like this." He even came to pitch it one day, saying, "Hey guys, there are three of us here, let's dance like this, like this," 👯‍♂️👯‍♂️ while making a totally goofy face 🤪🤪🤪. And it was a difficult move too! Honestly, bro, get the original choreography right first! So, he eventually scrapped that plan. 🌞: But Force is a really chill guy. He’s laid-back and doesn't get stressed easily. He knows that eventually, one way or another, he’ll get it down and reach his goal one day, so he's fine. But you know what’s so cute about him? On the day of the first run-through, he knew he was the only one in the gang who wasn't dancing in sync yet. Mae Yui came over and said, "Force, you're not in sync with your friends yet, sweetie. You need to practice the moves." At first, Force was scared, but he tried to act cool like, "Oh, it's chill, Mae, it's chill." A moment later, just as they were about to start the run-through, Force was spotted over in the corner 🕺 facing the wall like this, having the instructor coach him closely. And what did he do next? He kept practicing by himself, separate from the group. Isn't that adorable? There was no way he was going to let this show turn out out-of-sync. And just like everyone saw, everything went beautifully, and they danced with so much energy in that show. Yes, guys, that was the "Bump Boom Boom" show!

Mhokstache ✨

16,032 görüntüleme • 3 ay önce

We believe we’re the first robotics company to demonstrate a robot peeling an apple with dual dexterous human-like hands. This breakthrough closes a key gap in robotics, achieving bimanual, contact-rich manipulation and moving far beyond the limits of simple grippers. 🧵↓ Today’s AI models (VLMs) are excellent at perception but struggle with action. Controlling high-degree-of-freedom hands for tasks like this is incredibly complex, and precise finger-level teleoperation is nearly impossible for humans. Our first step was a shared-autonomy system: rather than controlling every finger, the operator triggers pre-learned skills like a “rotate apple or tennis ball” primitive via a keyboard press or pedal. This makes scalable data collection and RL training possible. How does the AI manage this? We created "MoDE-VLA" (Mixture of Dexterous Experts). It fuses vision, language, force, and touch data by using a team of specialist "experts," making control in high-dimensional spaces stable and effective. The combination of these two innovations allows for seamless, contact-rich manipulation. The human provides high-level guidance, and the robot executes the complex in-hand coordination required. This work paves the way for robots that can safely handle delicate tasks in human environments. Want the full technical details? 📄 Read the full research paper: Visit us at NVIDIA GTC Booth #1838, Hall 3 to learn more! #Robotics #AI #DexterousManipulation #VLA #NVIDIAGTC Nancy Villicaña NVIDIA GTC
2:51

We believe we’re the first robotics company to demonstrate a robot peeling an apple with dual dexterous human-like hands. This breakthrough closes a key gap in robotics, achieving bimanual, contact-rich manipulation and moving far beyond the limits of simple grippers. 🧵↓ Today’s AI models (VLMs) are excellent at perception but struggle with action. Controlling high-degree-of-freedom hands for tasks like this is incredibly complex, and precise finger-level teleoperation is nearly impossible for humans. Our first step was a shared-autonomy system: rather than controlling every finger, the operator triggers pre-learned skills like a “rotate apple or tennis ball” primitive via a keyboard press or pedal. This makes scalable data collection and RL training possible. How does the AI manage this? We created "MoDE-VLA" (Mixture of Dexterous Experts). It fuses vision, language, force, and touch data by using a team of specialist "experts," making control in high-dimensional spaces stable and effective. The combination of these two innovations allows for seamless, contact-rich manipulation. The human provides high-level guidance, and the robot executes the complex in-hand coordination required. This work paves the way for robots that can safely handle delicate tasks in human environments. Want the full technical details? 📄 Read the full research paper: Visit us at NVIDIA GTC Booth #1838, Hall 3 to learn more! #Robotics #AI #DexterousManipulation #VLA #NVIDIAGTC Nancy Villicaña NVIDIA GTC

Sharpa

20,429 görüntüleme • 6 ay önce

15–30 minutes of real-world robot data. That's now enough to go from sim-to-real failure to working robot. Let’s see… You train a robot in simulation. You deploy it in the real world. It fails. The physics don't match. So you try to fine-tune it with real data, but… you never have enough real data, and the fine-tuning breaks everything the simulation taught it. SimDist fixes this with one key decision: don't transfer the policy. Transfer the world model. Keep the reward and value knowledge from simulation frozen. Only update the part that's actually wrong, how the robot predicts physics. Now the robot doesn't have to relearn the entire task in the real world. It already knows what success looks like. It just needs to correct its understanding of how the real world moves. The part that makes this work: they also trained on failures and recoveries; not just perfect demonstrations. Without that, the planner finds the gaps and exploits them. With it, the robot can tell a good future from a bad one. That's all it needs. Results on peg insertion, table leg assembly, locomotion on slippery and uneven surfaces. Tasks that require precision, force, and quick reaction. Thanks for sharing, Tyler Westenbroek ([Tyler Westenbroek]. Interactive visualization + paper: ——- Weekly robotics and AI insights. Subscribe free:
0:41

15–30 minutes of real-world robot data. That's now enough to go from sim-to-real failure to working robot. Let’s see… You train a robot in simulation. You deploy it in the real world. It fails. The physics don't match. So you try to fine-tune it with real data, but… you never have enough real data, and the fine-tuning breaks everything the simulation taught it. SimDist fixes this with one key decision: don't transfer the policy. Transfer the world model. Keep the reward and value knowledge from simulation frozen. Only update the part that's actually wrong, how the robot predicts physics. Now the robot doesn't have to relearn the entire task in the real world. It already knows what success looks like. It just needs to correct its understanding of how the real world moves. The part that makes this work: they also trained on failures and recoveries; not just perfect demonstrations. Without that, the planner finds the gaps and exploits them. With it, the robot can tell a good future from a bad one. That's all it needs. Results on peg insertion, table leg assembly, locomotion on slippery and uneven surfaces. Tasks that require precision, force, and quick reaction. Thanks for sharing, Tyler Westenbroek ([Tyler Westenbroek]. Interactive visualization + paper: ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

14,222 görüntüleme • 4 ay önce

🚨BREAKING: NASA's Lead Electrostatics Scientist claims he’s discovered a “new force” that counteracts gravity with no fuel necessary. Dr. Charles Buhler has run 2,000 vacuum chamber experiments showing a propellantless thrust force that persists after the power is switched off, and cannot be explained by ion wind, magnetic effects, or classical energy conservation. The input is pure electricity and the output is millinewtons of thrust counteracting gravity. He believes his work vindicates the legacy of midcentury antigravity pioneer Thomas Townsend Brown and will lead to a new paradigm of propellantless deep space travel that transcends chemical combustion rockets🚨 Charles Buhler has a PhD in condensed matter physics from Florida State University, spent over two decades at NASA's Electrostatics and Surface Physics Laboratory at Kennedy Space Center (which he now leads), and is the incoming president of the Electrostatic Society of America. He is NASA’s authority on electrostatics. His colleague Andrew Aurigema, a 35-year veteran engineer working from the Townsend Brown electrogravitics lineage, developed a parallel version of the same experiment independently, and the two discovered each other through a mutual colleague who had been watching both of them work in silence for years. Together, under their company Exodus Propulsion Technologies, they have tested nearly 2,000 variations of what they believe is a previously undocumented force. He’s also developed a quantum electrodynamics based theory to explain his results. Buhler’s patent is now under formal examination by the U.S. Patent Office with affidavit-signing witnesses being contacted independently. This is the future of space travel, beyond chemical combustion. With Rocketry, we can only get to Proxima Centauri B in 80,000 years. And you’d burn through the fuel well before that. It’s completely untenable for interstellar travel. 1. Buhler’s Skeptic Mentor Stopped Cold in 2010 The first demonstration happened in a non-vacuum lab using a laser aimed at a wall to detect small displacements. Buhler had his future brother-in-law run the test. His mentor, Dr. Sid Clements, an electrostatics expert who had dismissed the work entirely, watched the laser move and immediately abandoned what he was doing. He walked over, ran through a series of verification steps on the spot, and never questioned the reality of the effect again. That was 2010. It took two more years working with Drew before Buhler realized the force appeared even without any B field or current present. He wasn't in the field momentum regime at all. He was in pure electrostatics. 2. The Force is Not Explainable by Newton’s Laws or Ion Wind Ion wind produces thrust in the same direction the ionized air is traveling. The “Exodus force” (Buhler’s name for his new force) produces thrust perpendicular to the expected ion wind direction, reverses cleanly when the device is flipped, and remains present inside a sealed enclosure where no ionized air can escape. Buhler documented this publicly with video: a balsa lifter placed inside a sealed plastic box on a scale, powered up, lifts internally while the scale reads flat. That is conservation of momentum. That is what ion wind looks like. The Exodus force is something different, and Buhler, as the person who leads NASA's only electrostatics lab, is in an unambiguous position to make that distinction. 3. 2,000 Variations, All Producing the Same Result Since beginning collaboration with Drew, Buhler has tracked nearly 2,000 distinct test articles, each tested multiple times. Pendulums. Spinners. Rotators. Force plates. Scales. Pendulum deflections inside Faraday cages. Reversed polarity tests. Vacuum chamber runs at multiple pressure levels. DC-only configurations that eliminate magnetic field artifacts entirely. Every geometry, every material, every packaging approach. The force appears consistently. When a confounding variable is proposed, they address it, run the modified test, and the force is still there. Buhler says if an exotic explanation remains, it is not one he or any colleague has been able to name. 4. The Device Generates Thrust With the Power Off This is the finding that breaks the classical framework entirely. After charging the device and disconnecting it from the power supply, the thrust continues. The capacitor does not drain in the way a simple energy storage calculation would predict. Put on a scale, the weight reduction persists. Buhler's description: if placed in space with the power off, the device would accelerate. He cannot explain that to the scientific community and says so directly. David Chester, who has independently interacted with Drew through APEC sessions and private communications, said he cannot think of a prosaic explanation for this. The phenomenon has been reproduced enough times across enough configurations that calling it experimental error is no longer a defensible position. 5. The Implications of This for Past Antigravity Work Buhler believes his work is derivative of and related to Townsend Brown’s midcentury asymmetric capacitor experiments also showing thrust with pure electricity as the input. Chemical combustion is limited - plain and simple - we can’t get to the nearest habitable planet (Proxima Centauri B) in close the amount of time we’d need; it would take us 80,000 years and we’d burn through the fuel before we got there. It’s a checkmate in one argument against anyone claiming rockets are the frontier of efficiency. This was the dream of Thomas Townsend Brown – one that got stifled and suppressed behind the veil of secrecy and subcompartments. The common trope from experiments around the world are high electric field differentials seem to result in thrust. Buhler’s experiment exists in this lineage. 6. The Patent Office is Running the Peer Review Buhler made a deliberate choice not to pursue academic peer review as a primary path. His second patent is currently under examination, and the examiner's office has been reaching out to independent witnesses who have signed affidavits confirming they have seen and reproduced the effect. Buhler describes this as equivalent to scientific peer review, run by people with no financial interest in the outcome. His first patent may have been held under a national security review process before release. He does not confirm this, but he was aware it was a risk when he filed. 7. A QED Theorist Could Poke Holes in the Theory, But Not the Experiment We brought in UCLA PhD David Chester to evaluate Buhler’s ideas on quantum electrodynamics (which might account for the thrust being seen). David Chester's contribution was not to validate the theory Buhler proposed. He found some issues with the specific scalar virtual photon framing Buhler had developed. What Chester could not do was provide a prosaic explanation for the experimental results themselves. He said directly that, of all the anomalous phenomena he has surveyed, Buhler and Drew's work ranks in the top ten for experimental persuasiveness, specifically because of the iteration rate and the self-consistency across configurations. He noted that Drew's innovation rate alone, constantly testing new geometries and material stacks, is unlike anything he has seen from other groups making similar claims. Buhler pointed out that his theories were based on time-independent perturbation theory which Chester admits requires further examination from him. 8. NASA's UAP Investigation Had No Physicists Buhler and his wife, an engineer in NASA's Launch Services Program, were approached to assist with NASA's second UAP follow-on investigation. When Buhler asked to be placed with the physicists on the project, he was told there were none. The group was instrumentation-focused. Buhler says he was genuinely shocked. His reaction, expressed directly: if you are facing objects that defy the laws of physics, why is there not a single physicist in the room. He described the same reaction Eric Davis has expressed publicly. This is either institutional brain death or something else is happening somewhere else. 9. Six Lights Emerged from the Ocean Near Patrick Air Force Base Around 2013, Buhler and his wife were alone on the beach near Cocoa Beach, Florida, three miles south of Patrick Air Force Base. A red light appeared roughly three miles offshore, grew extremely bright, then appeared to explode, lighting the full length of beach. A helicopter launched from Patrick Air Force Base, flew to the location, hovered briefly, and returned to base without intervening. The light did not stop. It began moving toward them. At some point it split from one light into six rotating orange-pink lights that went under the water and re-emerged in a repeating cycle. The lights tracked their movement along the beach for forty minutes, closing to within roughly fifty yards before disappearing. Buhler says similar lights have been reported by others in the same area, and Stephen Greer runs group observation sessions approximately forty minutes south of the same beach. 10. The Force Crosses the Unity Threshold for Space Already The current demonstrated force is in the five to ten millinewton range. For Earth launch, that is not yet sufficient, and Buhler does not claim otherwise. For orbital station-keeping, for preventing satellite orbital decay, for repositioning between orbits in microgravity, the force exceeds what is needed. Buhler calls this hitting unity for space, moon, and Mars applications without any major development beyond what has already been demonstrated. The self-launcher, a device capable of lifting itself from Earth's surface, is the declared goal. No blueprints exist yet for the energy requirements. But the force is real, it is directional, it reverses on command, and it does not require continuous power to sustain. Why This Matters NASA's lead electrostatics scientist ran nearly 2,000 controlled experiments, eliminated every prosaic explanation the field has available, documented a thrust that persists after the power is cut, watched the fine structure constant emerge from the data repeatedly, and submitted a second patent currently under formal examination. A QED theorist with no commercial stake in the outcome reviewed the experimental claims and could not find a conventional explanation. The standard debunking line for this entire lineage of experiments has always been ion wind. That argument has been answered, documented, and filmed. What remains is a force that requires either new physics or an error that two decades of systematic testing has not been able to locate. The patent process will resolve part of this. The vacuum chamber footage will resolve more of it. Full conversation is live now. The next stage in human space travel is here.
1:13

🚨BREAKING: NASA's Lead Electrostatics Scientist claims he’s discovered a “new force” that counteracts gravity with no fuel necessary. Dr. Charles Buhler has run 2,000 vacuum chamber experiments showing a propellantless thrust force that persists after the power is switched off, and cannot be explained by ion wind, magnetic effects, or classical energy conservation. The input is pure electricity and the output is millinewtons of thrust counteracting gravity. He believes his work vindicates the legacy of midcentury antigravity pioneer Thomas Townsend Brown and will lead to a new paradigm of propellantless deep space travel that transcends chemical combustion rockets🚨 Charles Buhler has a PhD in condensed matter physics from Florida State University, spent over two decades at NASA's Electrostatics and Surface Physics Laboratory at Kennedy Space Center (which he now leads), and is the incoming president of the Electrostatic Society of America. He is NASA’s authority on electrostatics. His colleague Andrew Aurigema, a 35-year veteran engineer working from the Townsend Brown electrogravitics lineage, developed a parallel version of the same experiment independently, and the two discovered each other through a mutual colleague who had been watching both of them work in silence for years. Together, under their company Exodus Propulsion Technologies, they have tested nearly 2,000 variations of what they believe is a previously undocumented force. He’s also developed a quantum electrodynamics based theory to explain his results. Buhler’s patent is now under formal examination by the U.S. Patent Office with affidavit-signing witnesses being contacted independently. This is the future of space travel, beyond chemical combustion. With Rocketry, we can only get to Proxima Centauri B in 80,000 years. And you’d burn through the fuel well before that. It’s completely untenable for interstellar travel. 1. Buhler’s Skeptic Mentor Stopped Cold in 2010 The first demonstration happened in a non-vacuum lab using a laser aimed at a wall to detect small displacements. Buhler had his future brother-in-law run the test. His mentor, Dr. Sid Clements, an electrostatics expert who had dismissed the work entirely, watched the laser move and immediately abandoned what he was doing. He walked over, ran through a series of verification steps on the spot, and never questioned the reality of the effect again. That was 2010. It took two more years working with Drew before Buhler realized the force appeared even without any B field or current present. He wasn't in the field momentum regime at all. He was in pure electrostatics. 2. The Force is Not Explainable by Newton’s Laws or Ion Wind Ion wind produces thrust in the same direction the ionized air is traveling. The “Exodus force” (Buhler’s name for his new force) produces thrust perpendicular to the expected ion wind direction, reverses cleanly when the device is flipped, and remains present inside a sealed enclosure where no ionized air can escape. Buhler documented this publicly with video: a balsa lifter placed inside a sealed plastic box on a scale, powered up, lifts internally while the scale reads flat. That is conservation of momentum. That is what ion wind looks like. The Exodus force is something different, and Buhler, as the person who leads NASA's only electrostatics lab, is in an unambiguous position to make that distinction. 3. 2,000 Variations, All Producing the Same Result Since beginning collaboration with Drew, Buhler has tracked nearly 2,000 distinct test articles, each tested multiple times. Pendulums. Spinners. Rotators. Force plates. Scales. Pendulum deflections inside Faraday cages. Reversed polarity tests. Vacuum chamber runs at multiple pressure levels. DC-only configurations that eliminate magnetic field artifacts entirely. Every geometry, every material, every packaging approach. The force appears consistently. When a confounding variable is proposed, they address it, run the modified test, and the force is still there. Buhler says if an exotic explanation remains, it is not one he or any colleague has been able to name. 4. The Device Generates Thrust With the Power Off This is the finding that breaks the classical framework entirely. After charging the device and disconnecting it from the power supply, the thrust continues. The capacitor does not drain in the way a simple energy storage calculation would predict. Put on a scale, the weight reduction persists. Buhler's description: if placed in space with the power off, the device would accelerate. He cannot explain that to the scientific community and says so directly. David Chester, who has independently interacted with Drew through APEC sessions and private communications, said he cannot think of a prosaic explanation for this. The phenomenon has been reproduced enough times across enough configurations that calling it experimental error is no longer a defensible position. 5. The Implications of This for Past Antigravity Work Buhler believes his work is derivative of and related to Townsend Brown’s midcentury asymmetric capacitor experiments also showing thrust with pure electricity as the input. Chemical combustion is limited - plain and simple - we can’t get to the nearest habitable planet (Proxima Centauri B) in close the amount of time we’d need; it would take us 80,000 years and we’d burn through the fuel before we got there. It’s a checkmate in one argument against anyone claiming rockets are the frontier of efficiency. This was the dream of Thomas Townsend Brown – one that got stifled and suppressed behind the veil of secrecy and subcompartments. The common trope from experiments around the world are high electric field differentials seem to result in thrust. Buhler’s experiment exists in this lineage. 6. The Patent Office is Running the Peer Review Buhler made a deliberate choice not to pursue academic peer review as a primary path. His second patent is currently under examination, and the examiner's office has been reaching out to independent witnesses who have signed affidavits confirming they have seen and reproduced the effect. Buhler describes this as equivalent to scientific peer review, run by people with no financial interest in the outcome. His first patent may have been held under a national security review process before release. He does not confirm this, but he was aware it was a risk when he filed. 7. A QED Theorist Could Poke Holes in the Theory, But Not the Experiment We brought in UCLA PhD David Chester to evaluate Buhler’s ideas on quantum electrodynamics (which might account for the thrust being seen). David Chester's contribution was not to validate the theory Buhler proposed. He found some issues with the specific scalar virtual photon framing Buhler had developed. What Chester could not do was provide a prosaic explanation for the experimental results themselves. He said directly that, of all the anomalous phenomena he has surveyed, Buhler and Drew's work ranks in the top ten for experimental persuasiveness, specifically because of the iteration rate and the self-consistency across configurations. He noted that Drew's innovation rate alone, constantly testing new geometries and material stacks, is unlike anything he has seen from other groups making similar claims. Buhler pointed out that his theories were based on time-independent perturbation theory which Chester admits requires further examination from him. 8. NASA's UAP Investigation Had No Physicists Buhler and his wife, an engineer in NASA's Launch Services Program, were approached to assist with NASA's second UAP follow-on investigation. When Buhler asked to be placed with the physicists on the project, he was told there were none. The group was instrumentation-focused. Buhler says he was genuinely shocked. His reaction, expressed directly: if you are facing objects that defy the laws of physics, why is there not a single physicist in the room. He described the same reaction Eric Davis has expressed publicly. This is either institutional brain death or something else is happening somewhere else. 9. Six Lights Emerged from the Ocean Near Patrick Air Force Base Around 2013, Buhler and his wife were alone on the beach near Cocoa Beach, Florida, three miles south of Patrick Air Force Base. A red light appeared roughly three miles offshore, grew extremely bright, then appeared to explode, lighting the full length of beach. A helicopter launched from Patrick Air Force Base, flew to the location, hovered briefly, and returned to base without intervening. The light did not stop. It began moving toward them. At some point it split from one light into six rotating orange-pink lights that went under the water and re-emerged in a repeating cycle. The lights tracked their movement along the beach for forty minutes, closing to within roughly fifty yards before disappearing. Buhler says similar lights have been reported by others in the same area, and Stephen Greer runs group observation sessions approximately forty minutes south of the same beach. 10. The Force Crosses the Unity Threshold for Space Already The current demonstrated force is in the five to ten millinewton range. For Earth launch, that is not yet sufficient, and Buhler does not claim otherwise. For orbital station-keeping, for preventing satellite orbital decay, for repositioning between orbits in microgravity, the force exceeds what is needed. Buhler calls this hitting unity for space, moon, and Mars applications without any major development beyond what has already been demonstrated. The self-launcher, a device capable of lifting itself from Earth's surface, is the declared goal. No blueprints exist yet for the energy requirements. But the force is real, it is directional, it reverses on command, and it does not require continuous power to sustain. Why This Matters NASA's lead electrostatics scientist ran nearly 2,000 controlled experiments, eliminated every prosaic explanation the field has available, documented a thrust that persists after the power is cut, watched the fine structure constant emerge from the data repeatedly, and submitted a second patent currently under formal examination. A QED theorist with no commercial stake in the outcome reviewed the experimental claims and could not find a conventional explanation. The standard debunking line for this entire lineage of experiments has always been ion wind. That argument has been answered, documented, and filmed. What remains is a force that requires either new physics or an error that two decades of systematic testing has not been able to locate. The patent process will resolve part of this. The vacuum chamber footage will resolve more of it. Full conversation is live now. The next stage in human space travel is here.

Jesse Michels

877,031 görüntüleme • 5 ay önce

PROJECT MAVEN and the U.S. Military's Cutting-Edge Arsenal of AI-Driven Warfare and Directed Energy Weapons. This is an important deep dive into one of the U.S. Department of War's most transformative initiatives, a game-changer that's reshaping modern warfare through artificial intelligence. Launched in 2017 under the Algorithmic Warfare Cross-Functional Team, Project Maven isn't just another tech buzzword; it's the Pentagon's flagship AI program designed to supercharge military intelligence by automating the analysis of vast troves of data from drones, satellites, and surveillance feeds. Highlighting how Maven uses machine learning and computer vision to detect, classify, and track targets in real-time, compressing the "kill chain" from hours to minutes. The weapon and defense systems powering this revolution, including the seamless integration of Directed Energy Weapons (DEWs). Project Maven serves as the brain, processing petabytes of imagery to identify threats like enemy vehicles, personnel, or infrastructure with pinpoint accuracy—far beyond what human analysts could achieve alone. Initially deployed against ISIS in 2017, it fused data from full-motion video (FMV) and other sensors to flag potential strikes, always with human oversight in the loop to ensure ethical decision-making. Today, under the National Geospatial-Intelligence Agency (NGA), Maven has expanded to all military branches—Army, Air Force, Space Force, Navy, and Marines—via platforms like the Maven Smart System (MSS). MSS isn't just about detection; it's a force multiplier, enabling rapid targeting in exercises like Scarlet Dragon, where it slashed manpower needs from thousands to mere dozens while handling complex scenarios in CENTCOM and beyond. Now, pair this AI prowess with the U.S. military's Directed Energy Weapons, and you get a lethal, futuristic synergy. DEWs harness concentrated electromagnetic energy—think high-energy lasers (HELs) and high-power microwaves (HPMs)—to neutralize threats without traditional munitions, offering infinite "ammo." These aren't hypothetical; they're operational and evolving rapidly. High-Energy Lasers (HELs), systems like the Navy's HELIOS (High-Energy Laser with Integrated Optical-Dazzler and Surveillance) aboard destroyers like the USS Preble deliver speed-of-light strikes to down drones, missiles, or small boats for pennies per shot. Integrated with Maven's AI targeting, HELIOS can acquire, track, and zap threats in swarms, as demonstrated in recent Pacific tests. The Army's DE M-SHORAD (Directed Energy Maneuver-Short Range Air Defense) prototype, mounted on Stryker vehicles, recently shredded drone swarms at Fort Sill, blending lasers with kinetic defenses for layered protection. High-Power Microwaves (HPMs), weapons like the Air Force's THOR (Tactical High-Power Operational Responder) unleash radiofrequency waves to fry electronics in drones or missiles from afar, covering wide areas with a single pulse. In urban or congested environments, HPMs provide non-lethal options, disrupting signals without collateral damage—perfect for Maven-identified targets in sensitive ops. Broader Defense Ecosystems, Maven feeds into systems like the Joint All-Domain Command and Control (JADC2), linking sensors across domains for seamless ops. DEWs complement this by offering scalable effects—from dazzling sensors (e.g., Vigilant Eagle for airport defense) to outright destruction. The Pentagon's Directed Energy Roadmap, with $1 billion annual investments, pushes for higher power outputs to tackle hypersonic threats, while initiatives like the High Energy Laser Scaling Initiative bolster industrial production. What makes this combo so revolutionary? Speed, precision, and cost-efficiency. Maven's AI spots the threat; DEWs eliminate it at light speed, with deep "magazines" that outlast ammo stockpiles. Project Maven is the spark igniting this fire, keeping the U.S. ahead in an era where data and energy are the ultimate weapons.
10:40

PROJECT MAVEN and the U.S. Military's Cutting-Edge Arsenal of AI-Driven Warfare and Directed Energy Weapons. This is an important deep dive into one of the U.S. Department of War's most transformative initiatives, a game-changer that's reshaping modern warfare through artificial intelligence. Launched in 2017 under the Algorithmic Warfare Cross-Functional Team, Project Maven isn't just another tech buzzword; it's the Pentagon's flagship AI program designed to supercharge military intelligence by automating the analysis of vast troves of data from drones, satellites, and surveillance feeds. Highlighting how Maven uses machine learning and computer vision to detect, classify, and track targets in real-time, compressing the "kill chain" from hours to minutes. The weapon and defense systems powering this revolution, including the seamless integration of Directed Energy Weapons (DEWs). Project Maven serves as the brain, processing petabytes of imagery to identify threats like enemy vehicles, personnel, or infrastructure with pinpoint accuracy—far beyond what human analysts could achieve alone. Initially deployed against ISIS in 2017, it fused data from full-motion video (FMV) and other sensors to flag potential strikes, always with human oversight in the loop to ensure ethical decision-making. Today, under the National Geospatial-Intelligence Agency (NGA), Maven has expanded to all military branches—Army, Air Force, Space Force, Navy, and Marines—via platforms like the Maven Smart System (MSS). MSS isn't just about detection; it's a force multiplier, enabling rapid targeting in exercises like Scarlet Dragon, where it slashed manpower needs from thousands to mere dozens while handling complex scenarios in CENTCOM and beyond. Now, pair this AI prowess with the U.S. military's Directed Energy Weapons, and you get a lethal, futuristic synergy. DEWs harness concentrated electromagnetic energy—think high-energy lasers (HELs) and high-power microwaves (HPMs)—to neutralize threats without traditional munitions, offering infinite "ammo." These aren't hypothetical; they're operational and evolving rapidly. High-Energy Lasers (HELs), systems like the Navy's HELIOS (High-Energy Laser with Integrated Optical-Dazzler and Surveillance) aboard destroyers like the USS Preble deliver speed-of-light strikes to down drones, missiles, or small boats for pennies per shot. Integrated with Maven's AI targeting, HELIOS can acquire, track, and zap threats in swarms, as demonstrated in recent Pacific tests. The Army's DE M-SHORAD (Directed Energy Maneuver-Short Range Air Defense) prototype, mounted on Stryker vehicles, recently shredded drone swarms at Fort Sill, blending lasers with kinetic defenses for layered protection. High-Power Microwaves (HPMs), weapons like the Air Force's THOR (Tactical High-Power Operational Responder) unleash radiofrequency waves to fry electronics in drones or missiles from afar, covering wide areas with a single pulse. In urban or congested environments, HPMs provide non-lethal options, disrupting signals without collateral damage—perfect for Maven-identified targets in sensitive ops. Broader Defense Ecosystems, Maven feeds into systems like the Joint All-Domain Command and Control (JADC2), linking sensors across domains for seamless ops. DEWs complement this by offering scalable effects—from dazzling sensors (e.g., Vigilant Eagle for airport defense) to outright destruction. The Pentagon's Directed Energy Roadmap, with $1 billion annual investments, pushes for higher power outputs to tackle hypersonic threats, while initiatives like the High Energy Laser Scaling Initiative bolster industrial production. What makes this combo so revolutionary? Speed, precision, and cost-efficiency. Maven's AI spots the threat; DEWs eliminate it at light speed, with deep "magazines" that outlast ammo stockpiles. Project Maven is the spark igniting this fire, keeping the U.S. ahead in an era where data and energy are the ultimate weapons.

The SCIF

21,324 görüntüleme • 8 ay önce

Efsane Platform Introduction I. Platform Overview • Platform Positioning: EFSANE (main domain is the world's fastest-growing blockchain news portal, serving as the core gateway to the entire ecosystem. The platform integrates multiple modules, including predictions, live streaming, games, and social networking, striving to provide users with a one-stop on-chain entertainment and interactive experience. • Core Mission: To establish a secure, reliable, low-threshold, and diverse on-chain entertainment platform, enabling users to conveniently participate in Gem (GEM) trials, USDT live games, prediction markets, live streaming interactions, and community exchanges, forming a complete closed-loop ecosystem. II. Core Values ​​and Features 1. One-Stop Ecosystem Hub • Integrated Sub-Channel Access: The main site homepage and user center clearly display channels for various modules, including prediction network, live streaming, blockchain games, and efschat (social networking), allowing users to directly access their desired scenarios without having to navigate multiple platforms. • Unified Asset and Account System: Centrally displays Gem/GEM and USDT balances, records participation in each module and historical returns, and enables one-stop asset management. • Unified Notifications and Customer Support: Integrates platform announcements, event reminders, and reward notifications, providing multiple customer service channels to significantly enhance the overall user experience. 2. Brand Trust and Security Transparency • Operational Data Announcements: The platform publicly discloses core metrics such as registered users, daily active users, withdrawal success rate, and total bonus pool, ensuring data authenticity and verifiability. • Compliance and Audit Visualization: Displays security audit summaries, risk control systems, and compliance instructions, allowing users to immediately perceive the platform's professionalism and credibility. • Risk Warnings and User Education: Key pages and workflows prominently highlight participation risks, and provide resources such as operation guides, video tutorials, and live streams. 3. Diverse Gameplay and Incentive Design • Gem/GEM Beginner Mechanism: Users can earn gems by signing in, completing tasks, or participating in events, allowing them to try out the game before converting, lowering the barrier to entry. • USDT Payment and Real Earnings Mechanism: Used in advanced games and predictive gameplay, ensuring authentic payment and cash-out mechanisms, enhancing asset authenticity and building trust. • Cross-module Incentive Mechanism: A task system enables cross-module linkage. For example, completing prediction tasks earns rewards in the live streaming/gaming modules, fostering deeper user engagement. • Multi-tiered Promotion Revenue Mechanism: Through an invitation code system and a three-tiered fission reward structure, promoters can earn high commissions, with commissions increasing to higher levels during special periods, stimulating user enthusiasm for cross-platform sharing. 4. Social and Community-Driven • Community Aggregation Portal: Enables cross-scenario discussion and sharing among users of modules like prediction, gaming, and live streaming. • User-generated Content Creator System: Encourages users to contribute high-quality content such as tutorials, guides, and reviews, providing incentives and resource support to outstanding creators and streamers. • Interactive Operational Activities: Regularly organize AMAs, online competitions, and data review livestreams to enhance user engagement and a sense of belonging to the platform. 5. Technical and User Experience Assurance • High-availability Architecture: The platform utilizes CDN acceleration, load balancing, and site-wide SSL/TLS encryption to ensure stable access and data security. • Full-Device Support and Multi-Language Optimization: Compatible with mobile and desktop devices, it supports a multi-language interface, offers a simple registration process, and quickly guides new users onboarding. • Behavioral Data-Driven Optimization: Analyze user behavior to deliver precise recommendations, improving gameplay conversion rates and user retention. III. Introduction to Key Modules (Platform Portal and Linked Examples) 1. Prediction Module ( Provides prediction scenarios for multiple sectors, including the crypto market, hot events, and sports events. Gameplay includes time-limited battles, binary options, and multiple-choice intervals. It features transparent settlement, a leaderboard mechanism, and integration with live streaming and the main platform's asset system. 2. Live Streaming Channel Showcases project roadshows, platform tutorials, live event broadcasts, and community interactive live streams to enhance user engagement and trust. It supports both gem and USDT tipping mechanisms and can be directly linked to the main platform's event page or task guide. 3. Chain Game Entertainment Channel Offers a diverse selection of games, from casual mini-games to competitive GameFi, supporting gem trials and USDT live trading. A leaderboard and tournament system is integrated with the main site's asset management and livestreaming content. 4. Social Community Users can participate in discussions, post content, and share task results in interest-based zones. A creator development system and content governance structure are established, serving as a hub for cross-module communication and feedback. 5. Other Expandable Portals The platform can subsequently expand subdomains such as dedicated event pages, tutorial pages, and creator centers as needed, all under the main domain for unified management. IV. User Flow Examples 1. First Visit: Users visit and register/log in. The homepage displays featured events and module portals, encouraging participation in gem trials or popular gameplay. 2. Onboarding: New users receive gem trial coupons and are guided through live tutorials or tutorials to quickly understand the platform's core mechanics. 3. Multi-Scenario Participation: Users can choose to participate in prediction betting, game battles, watch live streams and give rewards, join communities to express their opinions, or complete tasks and invite friends. 4. Asset Management and Withdrawal: Users can centrally view their Gem and USDT balances and earnings on the platform and withdraw them or use them to participate in other modules. Promotional earnings and commission details are displayed simultaneously. 5. Sticky Loop: The system periodically pushes cross-module tasks, community events, leaderboard incentives, and other content to promote continuous user engagement and platform retention. V. Trust and Compliance Assurance • Operational Transparency: The platform regularly publishes key data and security audit information to ensure openness and verifiability. • Risk Control Mechanism: Key processes such as withdrawals, deposits, and prediction participation are equipped with anomaly detection and anti-cheating mechanisms; large-scale transactions require KYC review. • Compliance Strategy: The platform monitors the regulatory status of crypto entertainment and prediction mechanisms in various markets and implements grayscale openness, geographic restrictions, and compliance disclosure procedures. • Privacy Compliance: The platform strictly adheres to local data protection laws to safeguard user privacy and security, and clearly states the scope of data usage in the user agreement. VI. Brand and Promotional Positioning • Suggested Platform Slogan: • " A one-stop on-chain entertainment platform with low barriers to entry, high transparency, and real returns." • "Gem Trials, USDT Play, the new standard for secure and reliable on-chain entertainment." • Core Marketing: Focus on beginner gem experiences, real USDT withdrawals, diverse gameplay options, and safety and compliance mechanisms. • Promotional Channels: Includes Telegram, Discord, and WhatsApp groups, livestream promotions with influencers (KOLs), and SEO/advertising (using keywords such as "on-chain entertainment platform" and "GameFi Real Returns"). VII. Technical and Operational Support System • Multilingual Operational Capabilities: Currently supports Chinese, English, Turkish, and Japanese, and will gradually expand to 16+ languages ​​globally, providing a localized experience for the international market. • Data-Driven Growth Analysis: Build a full-chain conversion analysis system to monitor new user conversion rates, retention rates, paying behavior, and task completion. • Customer Support and User Feedback Mechanism: Provide a multilingual customer service portal for immediate responses to user questions; promptly integrate community suggestions into product iterations and provide regular announcements. • Platform Optimization and Emergency System: Develop a security incident emergency response plan to ensure rapid platform recovery in the event of an emergency; continuously optimize the user experience through a data feedback mechanism. VIII. Future Development Outlook • Deep Ecosystem Development: Continuously optimize existing gameplay and module integrations, and explore the introduction of new economic mechanisms such as NFT incentives, DeFi mining, or staking. • Technology Evolution: Follow cutting-edge technologies such as Layer 2 expansion, off-chain settlement, and AI-powered recommendations to improve transaction efficiency and user experience accuracy. • Compliance Expansion Strategy: Promote legal operations in regions with mature regulations, and proactively prepare for compliance in high-potential markets to mitigate legal risks. • Community Brand Ecosystem: Cultivate a community of core players, influencers (KOLs), and creators, building a trusted brand image and enhancing user belonging through online livestreams and offline salons. 🔗 Register as a new user and receive $6. Join now:
0:41

Efsane Platform Introduction I. Platform Overview • Platform Positioning: EFSANE (main domain is the world's fastest-growing blockchain news portal, serving as the core gateway to the entire ecosystem. The platform integrates multiple modules, including predictions, live streaming, games, and social networking, striving to provide users with a one-stop on-chain entertainment and interactive experience. • Core Mission: To establish a secure, reliable, low-threshold, and diverse on-chain entertainment platform, enabling users to conveniently participate in Gem (GEM) trials, USDT live games, prediction markets, live streaming interactions, and community exchanges, forming a complete closed-loop ecosystem. II. Core Values ​​and Features 1. One-Stop Ecosystem Hub • Integrated Sub-Channel Access: The main site homepage and user center clearly display channels for various modules, including prediction network, live streaming, blockchain games, and efschat (social networking), allowing users to directly access their desired scenarios without having to navigate multiple platforms. • Unified Asset and Account System: Centrally displays Gem/GEM and USDT balances, records participation in each module and historical returns, and enables one-stop asset management. • Unified Notifications and Customer Support: Integrates platform announcements, event reminders, and reward notifications, providing multiple customer service channels to significantly enhance the overall user experience. 2. Brand Trust and Security Transparency • Operational Data Announcements: The platform publicly discloses core metrics such as registered users, daily active users, withdrawal success rate, and total bonus pool, ensuring data authenticity and verifiability. • Compliance and Audit Visualization: Displays security audit summaries, risk control systems, and compliance instructions, allowing users to immediately perceive the platform's professionalism and credibility. • Risk Warnings and User Education: Key pages and workflows prominently highlight participation risks, and provide resources such as operation guides, video tutorials, and live streams. 3. Diverse Gameplay and Incentive Design • Gem/GEM Beginner Mechanism: Users can earn gems by signing in, completing tasks, or participating in events, allowing them to try out the game before converting, lowering the barrier to entry. • USDT Payment and Real Earnings Mechanism: Used in advanced games and predictive gameplay, ensuring authentic payment and cash-out mechanisms, enhancing asset authenticity and building trust. • Cross-module Incentive Mechanism: A task system enables cross-module linkage. For example, completing prediction tasks earns rewards in the live streaming/gaming modules, fostering deeper user engagement. • Multi-tiered Promotion Revenue Mechanism: Through an invitation code system and a three-tiered fission reward structure, promoters can earn high commissions, with commissions increasing to higher levels during special periods, stimulating user enthusiasm for cross-platform sharing. 4. Social and Community-Driven • Community Aggregation Portal: Enables cross-scenario discussion and sharing among users of modules like prediction, gaming, and live streaming. • User-generated Content Creator System: Encourages users to contribute high-quality content such as tutorials, guides, and reviews, providing incentives and resource support to outstanding creators and streamers. • Interactive Operational Activities: Regularly organize AMAs, online competitions, and data review livestreams to enhance user engagement and a sense of belonging to the platform. 5. Technical and User Experience Assurance • High-availability Architecture: The platform utilizes CDN acceleration, load balancing, and site-wide SSL/TLS encryption to ensure stable access and data security. • Full-Device Support and Multi-Language Optimization: Compatible with mobile and desktop devices, it supports a multi-language interface, offers a simple registration process, and quickly guides new users onboarding. • Behavioral Data-Driven Optimization: Analyze user behavior to deliver precise recommendations, improving gameplay conversion rates and user retention. III. Introduction to Key Modules (Platform Portal and Linked Examples) 1. Prediction Module ( Provides prediction scenarios for multiple sectors, including the crypto market, hot events, and sports events. Gameplay includes time-limited battles, binary options, and multiple-choice intervals. It features transparent settlement, a leaderboard mechanism, and integration with live streaming and the main platform's asset system. 2. Live Streaming Channel Showcases project roadshows, platform tutorials, live event broadcasts, and community interactive live streams to enhance user engagement and trust. It supports both gem and USDT tipping mechanisms and can be directly linked to the main platform's event page or task guide. 3. Chain Game Entertainment Channel Offers a diverse selection of games, from casual mini-games to competitive GameFi, supporting gem trials and USDT live trading. A leaderboard and tournament system is integrated with the main site's asset management and livestreaming content. 4. Social Community Users can participate in discussions, post content, and share task results in interest-based zones. A creator development system and content governance structure are established, serving as a hub for cross-module communication and feedback. 5. Other Expandable Portals The platform can subsequently expand subdomains such as dedicated event pages, tutorial pages, and creator centers as needed, all under the main domain for unified management. IV. User Flow Examples 1. First Visit: Users visit and register/log in. The homepage displays featured events and module portals, encouraging participation in gem trials or popular gameplay. 2. Onboarding: New users receive gem trial coupons and are guided through live tutorials or tutorials to quickly understand the platform's core mechanics. 3. Multi-Scenario Participation: Users can choose to participate in prediction betting, game battles, watch live streams and give rewards, join communities to express their opinions, or complete tasks and invite friends. 4. Asset Management and Withdrawal: Users can centrally view their Gem and USDT balances and earnings on the platform and withdraw them or use them to participate in other modules. Promotional earnings and commission details are displayed simultaneously. 5. Sticky Loop: The system periodically pushes cross-module tasks, community events, leaderboard incentives, and other content to promote continuous user engagement and platform retention. V. Trust and Compliance Assurance • Operational Transparency: The platform regularly publishes key data and security audit information to ensure openness and verifiability. • Risk Control Mechanism: Key processes such as withdrawals, deposits, and prediction participation are equipped with anomaly detection and anti-cheating mechanisms; large-scale transactions require KYC review. • Compliance Strategy: The platform monitors the regulatory status of crypto entertainment and prediction mechanisms in various markets and implements grayscale openness, geographic restrictions, and compliance disclosure procedures. • Privacy Compliance: The platform strictly adheres to local data protection laws to safeguard user privacy and security, and clearly states the scope of data usage in the user agreement. VI. Brand and Promotional Positioning • Suggested Platform Slogan: • " A one-stop on-chain entertainment platform with low barriers to entry, high transparency, and real returns." • "Gem Trials, USDT Play, the new standard for secure and reliable on-chain entertainment." • Core Marketing: Focus on beginner gem experiences, real USDT withdrawals, diverse gameplay options, and safety and compliance mechanisms. • Promotional Channels: Includes Telegram, Discord, and WhatsApp groups, livestream promotions with influencers (KOLs), and SEO/advertising (using keywords such as "on-chain entertainment platform" and "GameFi Real Returns"). VII. Technical and Operational Support System • Multilingual Operational Capabilities: Currently supports Chinese, English, Turkish, and Japanese, and will gradually expand to 16+ languages ​​globally, providing a localized experience for the international market. • Data-Driven Growth Analysis: Build a full-chain conversion analysis system to monitor new user conversion rates, retention rates, paying behavior, and task completion. • Customer Support and User Feedback Mechanism: Provide a multilingual customer service portal for immediate responses to user questions; promptly integrate community suggestions into product iterations and provide regular announcements. • Platform Optimization and Emergency System: Develop a security incident emergency response plan to ensure rapid platform recovery in the event of an emergency; continuously optimize the user experience through a data feedback mechanism. VIII. Future Development Outlook • Deep Ecosystem Development: Continuously optimize existing gameplay and module integrations, and explore the introduction of new economic mechanisms such as NFT incentives, DeFi mining, or staking. • Technology Evolution: Follow cutting-edge technologies such as Layer 2 expansion, off-chain settlement, and AI-powered recommendations to improve transaction efficiency and user experience accuracy. • Compliance Expansion Strategy: Promote legal operations in regions with mature regulations, and proactively prepare for compliance in high-potential markets to mitigate legal risks. • Community Brand Ecosystem: Cultivate a community of core players, influencers (KOLs), and creators, building a trusted brand image and enhancing user belonging through online livestreams and offline salons. 🔗 Register as a new user and receive $6. Join now:

EFSANE

28,263 görüntüleme • 11 ay önce

In the spring of 2022, former President Barack Obama gave a major policy addressat Stanford University’s Cyber Policy Center, where he laid out a sweeping proposal for government censorship of social media platforms through the Platform Accountability and Transparency Act. Six days later, President Joe Biden’s Department of Homeland Security announced that it had created a “Disinformation Governance Board” to serve as an Orwellian Ministry of Truth with the clear goal of controlling the information Americans could access online. At the heart of Obama’s vision for Internet censorship was legislation that would have authorized the US government’s National Science Foundation to authorize and fund supposedly independent NGOs to censor the Internet. The DHS and Stanford Internet Observatory, which was part of the Stanford Cyber Policy Center, pioneered this censorship-by-proxy strategy as a way to get around the First Amendment in 2020 with posts raising concerns about the 2020 elections and in 2021 with “narratives” expressing concern about the Covid vaccine. The 2024 election of President Donald Trump significantly reduced the threat of Obama, DHS, and NSF censoring the American people. Trump defunded much of the Censorship Industrial Complex. The Platform Accountability Act is going nowhere in Congress. Elon Musk fired most of the censorship staff at Twitter and has allowed a significantly wider range of speech on the platform. And even before Trump’s election, Stanford donor Frank McCourt stopped funding the Stanford Internet Observatory after Public, Racket News, and House Weaponization Subcommittee Chairman Jim Jordan exposed its central role in the DHS censorship-by-proxy scheme. But now, foreign governments, including Europe, the UK, Brazil, Australia, and others are demanding censorship, including of the American people. The risk is that US tech companies will find it significantly less expensive to have a single global censorship regime and just go along with foreign censorship requests. Facebook complied with Biden administration demands to censor because it needed Biden’s help in dealing with European censorship officials. And the Brazilian government forced Elon Musk to continue censoring the Brazilian people after it froze Starlink’s assets. And Public has discovered that the Stanford Cyber Policy Center, which is led by Obama’s former ambassador to Russia, Michael McFaul, is at the heart of a new, secretive, and possibly illegal censorship initiative that appears even more ambitious than the one Obama proposed in 2022. On September 24, the Cyber Policy Center hosted a secret dinner between its leaders and top censorship officials from Europe, UK, Brazil, California and Australia. The meeting was titled “Compliance and Enforcement in a Rapidly Evolving Landscape.” Frank McCourt, the same person behind the Stanford Internet Observatory, financed the gathering through his “Project Liberty Institute,” (PLI), toward which he gave $500 million to “strengthen democracy” and “foster responsible technology.” Public emailed all 21 participants and organizers and only heard from four, PLI, the Australian government, the UK government, and the European Union, which declined to comment because, even though Public gave it over 24 hours, a spokesperson said, “We would need several days.” The UK government said, “The legal framework gives Ofcom power to enforce the duties in the Act which are related to securing protections for people in the UK; it does not give Ofcom powers to enforce under any other legal regimes…. Ofcom has always engaged with various international forums and networks across all of the sectors we regulate, including online safety, spectrum, telecommunications, post, and broadcast and media. Regulators around the world regularly exchange insights, experience, and best practice.” A spokesperson for PLI said it “has made unrestricted gifts to several academic research programs, including Stanford University” and that “PLI does not receive funding from governments, intergovernmental organizations, or large technology companies.” But PLI’s own policy “blueprint” reveals that it is demanding a single total global censorship regime and intends to use the EU’s market power, known as the “Brussels effect,” to force big tech companies to comply. The blueprint calls for governments to “Recommit to a Single, Global Internet,” with “regulatory interoperability and oversight, to achieve a single unified market” and use the large size of the EU market to “drive bilateral and multilateral agendas to formally enshrine reciprocal guarantees.” A spokesperson for the Australian government said, “Whilst in attendance at Stanford for the 2-day conference, some attendees, including trust and safety researchers, industry, civil society, and government representatives, were also invited to attend an informal evening roundtable event organised by Stanford University entitled, ‘Compliance and Enforcement in a Rapidly Evolving Landscape.’ This roundtable did not involve any discussion of compliance coordination or regulatory information sharing.” The Australian spokesperson claimed that “eSafety has no role in regulating hate speech or disinformation. eSafety has no remit or interest in regulating the affairs of other nations, nor does it have any role in diplomatic, trade or other government-to-government relations.” But it also said, “As the internet is global and functions irrespective of national borders, by necessity eSafety collaborates with law enforcement, other government agencies, and non-government partners around the world, including in the United States.” The leaked agenda’s stated purpose was to “discuss the state of compliance and enforcement” in order to “identify where data, research, and expertise can enable more effective compliance with and enforcement of existing policy.” Much of the following two days of the public conference were focused on coordinating government censorship (“regulation”) of social media platforms, and the other nations that attended the meeting are all intensively involved in censoring their citizens and US tech companies. And, the head of Australia’s eSafety, Julie Inman-Grant, who was a keynote speaker at Stanford’s foreign censorship meeting, is also the head of a global government censorship network that serves as forum, she told the World Economic Forum, “to help us coordinate, build capacity and do just that…. We use the tools that we have, and can be effective, but we know we’re going to be, go, much further, when we work together with other like-minded independent statutory authorities around the globe.” As such, the people who are demanding censorship are once again spreading disinformation about what they are doing. All of this is happening in a context of global censorship intensifying. The UK government arrests 30 people per day for “offensive” social media posts, is attempting to censor 4Chan, which has no servers in the UK, and will mandate digital IDs for employment, which may give unprecedented control to politicians and bureaucrats to censor. The Brazilian government has, for year,s been censoring journalists and policymakers, incarcerating people for legal social media content, and threatening prosecution of journalists, including this author. And several European nations are censoring and arresting their citizens, preventing opposition political candidates from running for office, and preparing to implement digital IDs. Why did Stanford Cyber Policy Center hold this meeting, what is its strategy for global censorship? Who leaked the agenda to Public and why? And what can be done to stop Stanford, Brazil, Australia, the EU and others from realizing their totalitarian censorial vision? Please subscribe now to support Public's award-winning investigatie journalism, read the rest of the article, and watch the full video!
7:34

In the spring of 2022, former President Barack Obama gave a major policy addressat Stanford University’s Cyber Policy Center, where he laid out a sweeping proposal for government censorship of social media platforms through the Platform Accountability and Transparency Act. Six days later, President Joe Biden’s Department of Homeland Security announced that it had created a “Disinformation Governance Board” to serve as an Orwellian Ministry of Truth with the clear goal of controlling the information Americans could access online. At the heart of Obama’s vision for Internet censorship was legislation that would have authorized the US government’s National Science Foundation to authorize and fund supposedly independent NGOs to censor the Internet. The DHS and Stanford Internet Observatory, which was part of the Stanford Cyber Policy Center, pioneered this censorship-by-proxy strategy as a way to get around the First Amendment in 2020 with posts raising concerns about the 2020 elections and in 2021 with “narratives” expressing concern about the Covid vaccine. The 2024 election of President Donald Trump significantly reduced the threat of Obama, DHS, and NSF censoring the American people. Trump defunded much of the Censorship Industrial Complex. The Platform Accountability Act is going nowhere in Congress. Elon Musk fired most of the censorship staff at Twitter and has allowed a significantly wider range of speech on the platform. And even before Trump’s election, Stanford donor Frank McCourt stopped funding the Stanford Internet Observatory after Public, Racket News, and House Weaponization Subcommittee Chairman Jim Jordan exposed its central role in the DHS censorship-by-proxy scheme. But now, foreign governments, including Europe, the UK, Brazil, Australia, and others are demanding censorship, including of the American people. The risk is that US tech companies will find it significantly less expensive to have a single global censorship regime and just go along with foreign censorship requests. Facebook complied with Biden administration demands to censor because it needed Biden’s help in dealing with European censorship officials. And the Brazilian government forced Elon Musk to continue censoring the Brazilian people after it froze Starlink’s assets. And Public has discovered that the Stanford Cyber Policy Center, which is led by Obama’s former ambassador to Russia, Michael McFaul, is at the heart of a new, secretive, and possibly illegal censorship initiative that appears even more ambitious than the one Obama proposed in 2022. On September 24, the Cyber Policy Center hosted a secret dinner between its leaders and top censorship officials from Europe, UK, Brazil, California and Australia. The meeting was titled “Compliance and Enforcement in a Rapidly Evolving Landscape.” Frank McCourt, the same person behind the Stanford Internet Observatory, financed the gathering through his “Project Liberty Institute,” (PLI), toward which he gave $500 million to “strengthen democracy” and “foster responsible technology.” Public emailed all 21 participants and organizers and only heard from four, PLI, the Australian government, the UK government, and the European Union, which declined to comment because, even though Public gave it over 24 hours, a spokesperson said, “We would need several days.” The UK government said, “The legal framework gives Ofcom power to enforce the duties in the Act which are related to securing protections for people in the UK; it does not give Ofcom powers to enforce under any other legal regimes…. Ofcom has always engaged with various international forums and networks across all of the sectors we regulate, including online safety, spectrum, telecommunications, post, and broadcast and media. Regulators around the world regularly exchange insights, experience, and best practice.” A spokesperson for PLI said it “has made unrestricted gifts to several academic research programs, including Stanford University” and that “PLI does not receive funding from governments, intergovernmental organizations, or large technology companies.” But PLI’s own policy “blueprint” reveals that it is demanding a single total global censorship regime and intends to use the EU’s market power, known as the “Brussels effect,” to force big tech companies to comply. The blueprint calls for governments to “Recommit to a Single, Global Internet,” with “regulatory interoperability and oversight, to achieve a single unified market” and use the large size of the EU market to “drive bilateral and multilateral agendas to formally enshrine reciprocal guarantees.” A spokesperson for the Australian government said, “Whilst in attendance at Stanford for the 2-day conference, some attendees, including trust and safety researchers, industry, civil society, and government representatives, were also invited to attend an informal evening roundtable event organised by Stanford University entitled, ‘Compliance and Enforcement in a Rapidly Evolving Landscape.’ This roundtable did not involve any discussion of compliance coordination or regulatory information sharing.” The Australian spokesperson claimed that “eSafety has no role in regulating hate speech or disinformation. eSafety has no remit or interest in regulating the affairs of other nations, nor does it have any role in diplomatic, trade or other government-to-government relations.” But it also said, “As the internet is global and functions irrespective of national borders, by necessity eSafety collaborates with law enforcement, other government agencies, and non-government partners around the world, including in the United States.” The leaked agenda’s stated purpose was to “discuss the state of compliance and enforcement” in order to “identify where data, research, and expertise can enable more effective compliance with and enforcement of existing policy.” Much of the following two days of the public conference were focused on coordinating government censorship (“regulation”) of social media platforms, and the other nations that attended the meeting are all intensively involved in censoring their citizens and US tech companies. And, the head of Australia’s eSafety, Julie Inman-Grant, who was a keynote speaker at Stanford’s foreign censorship meeting, is also the head of a global government censorship network that serves as forum, she told the World Economic Forum, “to help us coordinate, build capacity and do just that…. We use the tools that we have, and can be effective, but we know we’re going to be, go, much further, when we work together with other like-minded independent statutory authorities around the globe.” As such, the people who are demanding censorship are once again spreading disinformation about what they are doing. All of this is happening in a context of global censorship intensifying. The UK government arrests 30 people per day for “offensive” social media posts, is attempting to censor 4Chan, which has no servers in the UK, and will mandate digital IDs for employment, which may give unprecedented control to politicians and bureaucrats to censor. The Brazilian government has, for year,s been censoring journalists and policymakers, incarcerating people for legal social media content, and threatening prosecution of journalists, including this author. And several European nations are censoring and arresting their citizens, preventing opposition political candidates from running for office, and preparing to implement digital IDs. Why did Stanford Cyber Policy Center hold this meeting, what is its strategy for global censorship? Who leaked the agenda to Public and why? And what can be done to stop Stanford, Brazil, Australia, the EU and others from realizing their totalitarian censorial vision? Please subscribe now to support Public's award-winning investigatie journalism, read the rest of the article, and watch the full video!

Michael Shellenberger

196,124 görüntüleme • 10 ay önce

Analyzing Episode 44. Season 2 aka Choice vs Force, and the Repeating Patterns of Oppression When it comes to injustice and oppression in human societies, I find there are three kinds of people. Some are silent watchers, others are enablers, and then there are those who resist. Resistance matters because silence makes room for oppression to grow, and enabling oppression feeds it, until it morphs into a tyrannical beast. But resistance? That's a disrupting force. It reminds systems built on cruelty that human power is never absolute and that fear is never forever. It reminds us that injustice can only survive as long as it goes unchallenged. Even where resistance doesn't bear immediate fruit, it redraws the moral line and allows the victims to be seen. It tells the oppressors their evil is being recorded. Societies don't change because everyone always agrees on something. They change because of a few who refuse to comply with the decrepit patterns of abuse. But what does any of this have to do with episode 44? Well, let's see. We have two stories running parallel in the episode - that of Alya and Cihan, and Kaya and Zerrin. What's common in both tales? Quite a few things, but most importantly, for me, it's how the male-dominated structure of Mardin wants to force two women to live their lives according to what the system dictates is right, rather than what they want themselves. Both Demir and Boran refuse to give up, despite knowing full well that Zerrin and Alya love someone else. And, I refuse to legitimize their behavior built on past traumas, because hey, life ain't easy for anyone. But that doesn't give us a pass to behave like monsters. This entire episode, to me, seems like a tussle between choice and force. The old guard of Mardin, used to issuing orders and having them followed in silence, coming face to face with resistance. With the will to live life on one's own terms. Almost like the writer is trying to say, 'see this shit will just keep going until someone screams enough and fights back.' Let's start with the beginning of the episode. Demir abducts Zerrin and lies about her baby dying so he can later use the same child to blackmail Zerrin into staying with him. Why? Because the psychopath can't see beyond his own wants. Zerrin's choices don't register because to him, she's not a person, just someone to be managed and controlled. So, force becomes his default setting; he lies, emotionally terrorizes, manipulates, does everything to get his own way. And, in this way, he embodies what the episode keeps repeating, that oppression doesn't always have to be violent. Sometimes, it's your refusal to acknowledge someone else's right to choose. There's another scene that stands out to me in this context, where Cihan and Alya are having a conversation, far from the cray cray crowd. In that scene, you get to see what life can be like when two people see each other as equals and choose to work together. When Alya tells Cihan of her fears about Deniz, he doesn't brush them off. He acknowledges them. But then, he also reminds her that she's always been able to get through to her son, and that there's no way Deniz will choose Boran after she informs him of the whole story. What makes CihAl so attractive as a couple is their ability to see each other and acknowledge their humanity and individuality. There's no force here. They stay together because they want to, they choose to. Many people choose to part despite the presence of love, so feelings here take a back seat. It's about free will. Agency. That's the most fundamental human instinct. When you take that away from someone, it's almost like taking away their humanity. Now, I know some of y'all saw the episode and thought Deniz is gonna fall prey to Boran's manipulation. But that's not what I see. When Boran is trying to rip apart CihAl's family portrait, Deniz becomes the reason he can't. And sure, Boran does manage to sway Deniz close to him a time or two, but there are scenes where you can see Deniz pulling back. Like when he realizes Boran really isn't paying any attention to him in the room. And Deniz is Alya's son, too. Which means if there's something he wants, he's going to go after it all out. You can see that in the way he refuses to stop calling Cihan 'Baba' even though Boran tries his level best. Now, let's turn back the dial a little and think about the other message Guilzar let slip in the episode. When Ummu and Ihityar are talking about how Alya is being manipulated by Boran using Deniz, and there's nothing to be done about it, Kadir speaks up. In that scene, to me, Kadir is the writer, telling the audience that the weaponization of a child against a parent isn't acceptable. That the parents, in this case, Alya and Cihan, have feelings too. They've been through hell and were rewarded with true love. And they deserve to live that love. When Kadir says love like that is worth dying for, it seemed to drive home the point that you don't give up when you love like Alya and Cihan love each other. You certainly don't allow yourself to be boxed in a corner because of the love of your child. Because that, too, is a form of coercion. I'm not going to talk a lot about Boran and his tantrums because to me, he and Demir were mirror images in this episode. The ugly face of abuse weaponized as 'love.' And Sadakat? She's the worst kind of enabler there is. She keeps going, Alya, singling her out, simply because she thinks Alya is the weakest link. Since Sadakat can't stand to see her family break apart, she's only too willing to homage to the age-old custom of male compulsion by helping her pislik of a first-born. Ugh. Anyway, going back to the message of this episode - patterns of oppression on repeat? It kind of makes me glad that both Boran and Demir are going to step out of bounds to do something really fcuking stupid. Because their desperation will force a reckoning that's been a long time coming. Once these lines are crossed, one hopes what we see is change because Lord knows, it's time this damn pattern breaks, once and for all. #CihAl #UzakŞehir
3:30

Analyzing Episode 44. Season 2 aka Choice vs Force, and the Repeating Patterns of Oppression When it comes to injustice and oppression in human societies, I find there are three kinds of people. Some are silent watchers, others are enablers, and then there are those who resist. Resistance matters because silence makes room for oppression to grow, and enabling oppression feeds it, until it morphs into a tyrannical beast. But resistance? That's a disrupting force. It reminds systems built on cruelty that human power is never absolute and that fear is never forever. It reminds us that injustice can only survive as long as it goes unchallenged. Even where resistance doesn't bear immediate fruit, it redraws the moral line and allows the victims to be seen. It tells the oppressors their evil is being recorded. Societies don't change because everyone always agrees on something. They change because of a few who refuse to comply with the decrepit patterns of abuse. But what does any of this have to do with episode 44? Well, let's see. We have two stories running parallel in the episode - that of Alya and Cihan, and Kaya and Zerrin. What's common in both tales? Quite a few things, but most importantly, for me, it's how the male-dominated structure of Mardin wants to force two women to live their lives according to what the system dictates is right, rather than what they want themselves. Both Demir and Boran refuse to give up, despite knowing full well that Zerrin and Alya love someone else. And, I refuse to legitimize their behavior built on past traumas, because hey, life ain't easy for anyone. But that doesn't give us a pass to behave like monsters. This entire episode, to me, seems like a tussle between choice and force. The old guard of Mardin, used to issuing orders and having them followed in silence, coming face to face with resistance. With the will to live life on one's own terms. Almost like the writer is trying to say, 'see this shit will just keep going until someone screams enough and fights back.' Let's start with the beginning of the episode. Demir abducts Zerrin and lies about her baby dying so he can later use the same child to blackmail Zerrin into staying with him. Why? Because the psychopath can't see beyond his own wants. Zerrin's choices don't register because to him, she's not a person, just someone to be managed and controlled. So, force becomes his default setting; he lies, emotionally terrorizes, manipulates, does everything to get his own way. And, in this way, he embodies what the episode keeps repeating, that oppression doesn't always have to be violent. Sometimes, it's your refusal to acknowledge someone else's right to choose. There's another scene that stands out to me in this context, where Cihan and Alya are having a conversation, far from the cray cray crowd. In that scene, you get to see what life can be like when two people see each other as equals and choose to work together. When Alya tells Cihan of her fears about Deniz, he doesn't brush them off. He acknowledges them. But then, he also reminds her that she's always been able to get through to her son, and that there's no way Deniz will choose Boran after she informs him of the whole story. What makes CihAl so attractive as a couple is their ability to see each other and acknowledge their humanity and individuality. There's no force here. They stay together because they want to, they choose to. Many people choose to part despite the presence of love, so feelings here take a back seat. It's about free will. Agency. That's the most fundamental human instinct. When you take that away from someone, it's almost like taking away their humanity. Now, I know some of y'all saw the episode and thought Deniz is gonna fall prey to Boran's manipulation. But that's not what I see. When Boran is trying to rip apart CihAl's family portrait, Deniz becomes the reason he can't. And sure, Boran does manage to sway Deniz close to him a time or two, but there are scenes where you can see Deniz pulling back. Like when he realizes Boran really isn't paying any attention to him in the room. And Deniz is Alya's son, too. Which means if there's something he wants, he's going to go after it all out. You can see that in the way he refuses to stop calling Cihan 'Baba' even though Boran tries his level best. Now, let's turn back the dial a little and think about the other message Guilzar let slip in the episode. When Ummu and Ihityar are talking about how Alya is being manipulated by Boran using Deniz, and there's nothing to be done about it, Kadir speaks up. In that scene, to me, Kadir is the writer, telling the audience that the weaponization of a child against a parent isn't acceptable. That the parents, in this case, Alya and Cihan, have feelings too. They've been through hell and were rewarded with true love. And they deserve to live that love. When Kadir says love like that is worth dying for, it seemed to drive home the point that you don't give up when you love like Alya and Cihan love each other. You certainly don't allow yourself to be boxed in a corner because of the love of your child. Because that, too, is a form of coercion. I'm not going to talk a lot about Boran and his tantrums because to me, he and Demir were mirror images in this episode. The ugly face of abuse weaponized as 'love.' And Sadakat? She's the worst kind of enabler there is. She keeps going, Alya, singling her out, simply because she thinks Alya is the weakest link. Since Sadakat can't stand to see her family break apart, she's only too willing to homage to the age-old custom of male compulsion by helping her pislik of a first-born. Ugh. Anyway, going back to the message of this episode - patterns of oppression on repeat? It kind of makes me glad that both Boran and Demir are going to step out of bounds to do something really fcuking stupid. Because their desperation will force a reckoning that's been a long time coming. Once these lines are crossed, one hopes what we see is change because Lord knows, it's time this damn pattern breaks, once and for all. #CihAl #UzakŞehir

CocoLoco

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