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MIT engineers unveiled an insect-sized hopping robot designed to conquer tricky terrains where tiny crawling or flying bots fall short; using a springy leg and flapping wings for controlled leaps, it navigates uneven surfaces energy-efficiently, showcasing impressive agility.

Sagar

7,309 subscribers

22,442 просмотров • 1 год назад •via X (Twitter)

Новости и политика Наука и технологии Образование

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Комментарии: 11

Фото профиля मिश्रा जी

मिश्रा जी1 год назад

Ye bdhiya engineering hai

Фото профиля MightyBot

MightyBot1 год назад

🧠 Unified Search. Smarter Meetings. Effortless CRM. MightyBot is your AI agent platform for seamless workflows—record meetings, automate CRM updates, and find answers across apps in seconds. 🌟 Focus on what matters. We'll handle the grind.

Фото профиля ManasV

ManasV1 год назад

that invention sounds really interesting

Фото профиля deepsi.

deepsi.1 год назад

good information to know

Фото профиля Chikku

Chikku1 год назад

This is awesome video

Фото профиля Sagar

Sagar1 год назад

Yeah.

Фото профиля Ashutosh Krishna

Ashutosh Krishna1 год назад

This new insect-sized hopping robot from MIT engineers sounds like a significant advancement in micro-robotics. ✅

Фото профиля łⱠ₳₥ Ⱡ₳₥₳Ɽ✟

łⱠ₳₥ Ⱡ₳₥₳Ɽ✟1 год назад

Try to slow your life down. You don't have to live in a rush all the time, and a more leisurely pace is less likely to cause anxiety. From the Motivation app:

Фото профиля Anuradha Choudhary

Anuradha Choudhary1 год назад

Bahut hi shandar hai

Фото профиля 𝑼𝒎𝒓𝒂𝒉

𝑼𝒎𝒓𝒂𝒉1 год назад

Good to know about this

Фото профиля ماہین❥ ❥

ماہین❥ ❥1 год назад

Thnks for letting us know

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$Tiny but mighty robots MIT engineers have built an insect-sized jumping robot that uses a fraction of the energy of aerial bots the same size. It can leap over tall obstacles, land on sloped terrain, and carry 10x more payload than flying counterparts—opening up potential for search-and-rescue, exploration, and more.$

Tiny but mighty robots MIT engineers have built an insect-sized jumping robot that uses a fraction of the energy of aerial bots the same size. It can leap over tall obstacles, land on sloped terrain, and carry 10x more payload than flying counterparts—opening up potential for search-and-rescue, exploration, and more.

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New "superman" Four months later, Shanghai-based Matrix Robotics unveiled the Matrix-3--yet another anthropomorphic humanoid robot situated on the left side of the "Uncanny Valley." Unlike Boston Dynamics' Atlas, which is designed for industrial settings, the Matrix-3 is a general-purpose humanoid robot intended initially for service-oriented environments such as supermarkets, hotels, and office buildings. Standing 1.7 meters tall and weighing 65 kilograms, the adult-sized robot features a full-body covering of biomimetic fabric integrated with tactile sensors, as well as humanoid biomimetic muscles. It employs linear joints rather than the mainstream rotary joints. Matrix claims it is capable of pulling or pushing a load of 200 kg. Optimus makes extensive use of linear joints (linear actuators). It is equipped with dexterous hands offering 27 DOF and boasts a battery life of 4 hours. The robot is powered by a model named WAVE(like an E2E World Action Model) Matrix states that it has already established a manufacturing facility in Shanghai's Zhangjiang with an annual production capacity of 10,000 units. The company plans to deliver 1,000 units this year, with the first batch scheduled for delivery by the end of June. Pricing starts at $99,000. Notably, Matrix founder Zhang Haixing previously served as a leader at Tesla China's Design and Research Center, where he was deeply involved in the early-stage R&D and design of the Optimus robot. This company seems to be delivering on the future envisioned for Optimus.

New "superman" Four months later, Shanghai-based Matrix Robotics unveiled the Matrix-3--yet another anthropomorphic humanoid robot situated on the left side of the "Uncanny Valley." Unlike Boston Dynamics' Atlas, which is designed for industrial settings, the Matrix-3 is a general-purpose humanoid robot intended initially for service-oriented environments such as supermarkets, hotels, and office buildings. Standing 1.7 meters tall and weighing 65 kilograms, the adult-sized robot features a full-body covering of biomimetic fabric integrated with tactile sensors, as well as humanoid biomimetic muscles. It employs linear joints rather than the mainstream rotary joints. Matrix claims it is capable of pulling or pushing a load of 200 kg. Optimus makes extensive use of linear joints (linear actuators). It is equipped with dexterous hands offering 27 DOF and boasts a battery life of 4 hours. The robot is powered by a model named WAVE(like an E2E World Action Model) Matrix states that it has already established a manufacturing facility in Shanghai's Zhangjiang with an annual production capacity of 10,000 units. The company plans to deliver 1,000 units this year, with the first batch scheduled for delivery by the end of June. Pricing starts at $99,000. Notably, Matrix founder Zhang Haixing previously served as a leader at Tesla China's Design and Research Center, where he was deeply involved in the early-stage R&D and design of the Optimus robot. This company seems to be delivering on the future envisioned for Optimus.

CyberRobo

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For almost the entire history of fighter aviation, one rule remained unchanged, Avoid the stall. At extreme angles of attack, airflow separates from the wings and control surfaces lose effectiveness. The aircraft enters a region where pilots have very little authority or control over the aircraft. NASA decided to ask a different question, What if a fighter could remain controllable after entering the stall? Between 1987 and 1996, NASA, the USA Navy and McDonnell Douglas transformed a pre-production FA -18 Hornet into the High Alpha Research Vehicle (HARV) a flying laboratory designed to explore flight beyond conventional aerodynamic limits. The solution was unlike anything seen on an operational fighter at the time across the world. Instead of relying only on aerodynamic control surfaces, engineers installed six thrust-vectoring paddles around the exhaust of two General Electric F404 engines. These massive control surfaces redirected engine thrust itself, allowing the aircraft to manoeuvre when normal controls were becoming ineffective. But making it work required solving an extreme materials challenge. The paddles sat directly in the engine exhaust stream, exposed to enormous temperatures and mechanical forces. They were built using Inconel, a nickel-based superalloy designed to maintain strength in extreme heat. Special actuation systems had to move these structures precisely while surviving repeated high-temperature operation, all were purpose built. The modification added around 2,200 lb (1,000 kg) of thrust-vectoring hardware alone, turning the F/A-18 into one of the most heavily instrumented research aircraft of its era. HARV completed 385 research flights in Area 51, demonstrating controlled flight at around 70° angle of attack, a regime where conventional fighters would normally lose control. The data collected helped shape the future of advanced fighter design, influencing later programs including the F-22 Raptor, where thrust-vectoring became an operational capability. HARV was built as a research aircraft with a clear combat purpose, to understand how far fighter manoeuvrability could be pushed. What followed next was full scale implementation on F-22 Raptor which to this day is considered the most potent stealth fighter aircraft ever designed and built at scale. Source :- NASA

For almost the entire history of fighter aviation, one rule remained unchanged, Avoid the stall. At extreme angles of attack, airflow separates from the wings and control surfaces lose effectiveness. The aircraft enters a region where pilots have very little authority or control over the aircraft. NASA decided to ask a different question, What if a fighter could remain controllable after entering the stall? Between 1987 and 1996, NASA, the USA Navy and McDonnell Douglas transformed a pre-production FA -18 Hornet into the High Alpha Research Vehicle (HARV) a flying laboratory designed to explore flight beyond conventional aerodynamic limits. The solution was unlike anything seen on an operational fighter at the time across the world. Instead of relying only on aerodynamic control surfaces, engineers installed six thrust-vectoring paddles around the exhaust of two General Electric F404 engines. These massive control surfaces redirected engine thrust itself, allowing the aircraft to manoeuvre when normal controls were becoming ineffective. But making it work required solving an extreme materials challenge. The paddles sat directly in the engine exhaust stream, exposed to enormous temperatures and mechanical forces. They were built using Inconel, a nickel-based superalloy designed to maintain strength in extreme heat. Special actuation systems had to move these structures precisely while surviving repeated high-temperature operation, all were purpose built. The modification added around 2,200 lb (1,000 kg) of thrust-vectoring hardware alone, turning the F/A-18 into one of the most heavily instrumented research aircraft of its era. HARV completed 385 research flights in Area 51, demonstrating controlled flight at around 70° angle of attack, a regime where conventional fighters would normally lose control. The data collected helped shape the future of advanced fighter design, influencing later programs including the F-22 Raptor, where thrust-vectoring became an operational capability. HARV was built as a research aircraft with a clear combat purpose, to understand how far fighter manoeuvrability could be pushed. What followed next was full scale implementation on F-22 Raptor which to this day is considered the most potent stealth fighter aircraft ever designed and built at scale. Source :- NASA

Ammanichanda

34,009 просмотров • 1 месяц назад

I had the pleasure of visiting the Skild lab in Pittsburgh about a month ago. It’s easily one of the most futuristic places I’ve seen, packed with robots everywhere -- each busy learning, testing, or solving customer use cases. Even humanoids - just about every piece of humanoid hardware out there seems to have found its way into the lab. The energy and passion of the engineers really stood out. I got to see a glimpse of some of the work they’ve been quietly building, much of which will be unveiled in the days and weeks ahead. I even got to help with an extreme-stability test, for science, of course. At one of the booths where they were testing a robot on long-horizon manipulation tasks, I pulled out my backup phone charger to see how the model would handle an 'unseen' object. It did fairly well. Thanks to , Abhinav Gupta, Shikhar Bahl and Ananye Agarwal for the tour!

I had the pleasure of visiting the Skild lab in Pittsburgh about a month ago. It’s easily one of the most futuristic places I’ve seen, packed with robots everywhere -- each busy learning, testing, or solving customer use cases. Even humanoids - just about every piece of humanoid hardware out there seems to have found its way into the lab. The energy and passion of the engineers really stood out. I got to see a glimpse of some of the work they’ve been quietly building, much of which will be unveiled in the days and weeks ahead. I even got to help with an extreme-stability test, for science, of course. At one of the booths where they were testing a robot on long-horizon manipulation tasks, I pulled out my backup phone charger to see how the model would handle an 'unseen' object. It did fairly well. Thanks to , Abhinav Gupta, Shikhar Bahl and Ananye Agarwal for the tour!

The Humanoid Hub

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Most fighters fly using their wings. The Su-30SM can fly using its engines. The Sukhoi Su-30SM is one of the few operational multirole fighters equipped with thrust-vectoring technology, giving it extraordinary maneuverability beyond that of conventional fourth-generation aircraft. Powered by two Saturn AL-31FP afterburning turbofan engines, its 2D thrust-vectoring nozzles can deflect up to +15 degrees, redirecting thrust independently of the aircraft's control surfaces. Combined with digital fly-by-wire controls and aerodynamic canards, the Su-30SM can maintain control at extremely high angles of attack where many aircraft would stall, enabling spectacular maneuvers such as the Pugachev's Cobra, Kulbit, Herbst Maneuver, and dramatic high-alpha turns. Unlike airshow-only demonstrations, thrust vectoring on the Su-30SM was designed with combat capability in mind. The system enhances low-speed agility, improves recovery from unusual attitudes, and allows the aircraft to rapidly point its nose during close-range engagements while carrying combat loads. Whether admired as a masterpiece of engineering or debated for its practical value in modern air combat, the Su-30SM remains one of the most visually impressive fighters in the world.

Most fighters fly using their wings. The Su-30SM can fly using its engines. The Sukhoi Su-30SM is one of the few operational multirole fighters equipped with thrust-vectoring technology, giving it extraordinary maneuverability beyond that of conventional fourth-generation aircraft. Powered by two Saturn AL-31FP afterburning turbofan engines, its 2D thrust-vectoring nozzles can deflect up to +15 degrees, redirecting thrust independently of the aircraft's control surfaces. Combined with digital fly-by-wire controls and aerodynamic canards, the Su-30SM can maintain control at extremely high angles of attack where many aircraft would stall, enabling spectacular maneuvers such as the Pugachev's Cobra, Kulbit, Herbst Maneuver, and dramatic high-alpha turns. Unlike airshow-only demonstrations, thrust vectoring on the Su-30SM was designed with combat capability in mind. The system enhances low-speed agility, improves recovery from unusual attitudes, and allows the aircraft to rapidly point its nose during close-range engagements while carrying combat loads. Whether admired as a masterpiece of engineering or debated for its practical value in modern air combat, the Su-30SM remains one of the most visually impressive fighters in the world.

Mechanical Knowledge

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🚨 NEBRASKA TICK HORROR 🚨 Look at this footage from a farm in Nebraska... thousands of tiny black bugs SWARMING the glass like a biblical plague while driving through fields. They said “ticks”… but these things are flying, crawling in MASS FORMATIONS, and covering everything in seconds. This isn’t nature. This is an INFESTATION. Who’s behind it? Bill Gates has poured millions into “mosquito” and insect modification projects for years. The Pentagon’s DARPA has been caught funding insect-based bioweapon research. Now we’re seeing these swarms exploding across the heartland... dropped from black ops helicopters at night. Are these weaponized ticks, GMO bugs, or something worse designed to spread disease and destroy our food supply? Why are they targeting rural America? Why now... right before harvest? WAKE UP. They’re engineering the collapse of our farms and our health. What are YOU seeing in your area? Drop your videos below. Tag your farmers. This is bigger than you think. Let me know what you think, and SHARE THIS so that others may too. And if you're not already following Noah B. Price... What the heck are you doing?!

🚨 NEBRASKA TICK HORROR 🚨 Look at this footage from a farm in Nebraska... thousands of tiny black bugs SWARMING the glass like a biblical plague while driving through fields. They said “ticks”… but these things are flying, crawling in MASS FORMATIONS, and covering everything in seconds. This isn’t nature. This is an INFESTATION. Who’s behind it? Bill Gates has poured millions into “mosquito” and insect modification projects for years. The Pentagon’s DARPA has been caught funding insect-based bioweapon research. Now we’re seeing these swarms exploding across the heartland... dropped from black ops helicopters at night. Are these weaponized ticks, GMO bugs, or something worse designed to spread disease and destroy our food supply? Why are they targeting rural America? Why now... right before harvest? WAKE UP. They’re engineering the collapse of our farms and our health. What are YOU seeing in your area? Drop your videos below. Tag your farmers. This is bigger than you think. Let me know what you think, and SHARE THIS so that others may too. And if you're not already following Noah B. Price... What the heck are you doing?!

Noah B. Price

73,835 просмотров • 3 месяцев назад

Ukraine’s First All-Robot Assault Force Just Won Its First Battle | David Axe, Forbes That Ukraine even needs so many unmanned weapons points to a deep manpower shortage. A Ukrainian national guard brigade just orchestrated an all-robot combined-arms operation, mixing crawling and flying drones for an assault on Russian positions in Kharkiv Oblast in northern Russia. “We are talking about dozens of units of robotic and unmanned equipment simultaneously on a small section of the front,” a spokesperson for the 13th National Guard Brigade explained. It was an impressive technological feat—and a worrying sign of weakness on the part of overstretched Ukrainian forces. Unmanned ground vehicles in particular suffer profound limitations, and still can’t fully replace human infantry. That the 13th National Guard Brigade even needed to replace all of the human beings in a ground assault speaks to how few people the brigade has compared to the Russian units it’s fighting. The 13th National Guard Brigade defends a five-mile stretch of the front line around the town of Hlyboke, just south of the Ukraine-Russia border. It’s holding back a force of no fewer than four Russian regiments. That’s no more than 2,000 Ukrainians versus 6,000 or so Russians. The manpower ratio is roughly the same all along the 800-mile front line of Russia’s 34-month wider war on Ukraine. Russian troops still greatly outnumber Ukrainian troops, despite the Russians suffering around twice as many casualties as the Ukrainians since February 2022. The Ukrainian operation involved remote-controlled flying surveillance and minelaying drones, one-way explosive robots on the ground and in the air as well as gun-armed ground ’bots. In what amounted to a smaller-scale proof of concept for the recent combined-arms robot assault, a Ukrainian ground robot cleared a Russian trench in Kursk Oblast in western Russian back in September. Russia has attempted small-scale ground ’bot assaults of its own, but less successfully. The problem, of course, is that while robots are adept at surveilling and attacking, they’re terrible at holding. To hold ground, armies put infantry in trenches. They sit, watch, wait and call for reinforcements when the enemy attacks. It’s tedious, taxing duty that requires constant vigilance. Constant vigilance is difficult when a human operator is remotely observing the battlefield through the sensors of a maintenance-hungry ground robot. Machines break down. And their radio datalinks are highly susceptible to enemy jamming, as the California think-tank RAND discovered when it gamed out a clash between hypothetical U.S. (“Blue”) and Russian (“Red”) army battalions partially equipped with armed ground drones. “Blue’s ability to operate was degraded significantly by Red’s jammers,” RAND concluded. It’s not clear the 13th National Guard Brigade even tried to hold the Russian positions it cleared in the all-robot attack. Read more:

Ukraine’s First All-Robot Assault Force Just Won Its First Battle | David Axe, Forbes That Ukraine even needs so many unmanned weapons points to a deep manpower shortage. A Ukrainian national guard brigade just orchestrated an all-robot combined-arms operation, mixing crawling and flying drones for an assault on Russian positions in Kharkiv Oblast in northern Russia. “We are talking about dozens of units of robotic and unmanned equipment simultaneously on a small section of the front,” a spokesperson for the 13th National Guard Brigade explained. It was an impressive technological feat—and a worrying sign of weakness on the part of overstretched Ukrainian forces. Unmanned ground vehicles in particular suffer profound limitations, and still can’t fully replace human infantry. That the 13th National Guard Brigade even needed to replace all of the human beings in a ground assault speaks to how few people the brigade has compared to the Russian units it’s fighting. The 13th National Guard Brigade defends a five-mile stretch of the front line around the town of Hlyboke, just south of the Ukraine-Russia border. It’s holding back a force of no fewer than four Russian regiments. That’s no more than 2,000 Ukrainians versus 6,000 or so Russians. The manpower ratio is roughly the same all along the 800-mile front line of Russia’s 34-month wider war on Ukraine. Russian troops still greatly outnumber Ukrainian troops, despite the Russians suffering around twice as many casualties as the Ukrainians since February 2022. The Ukrainian operation involved remote-controlled flying surveillance and minelaying drones, one-way explosive robots on the ground and in the air as well as gun-armed ground ’bots. In what amounted to a smaller-scale proof of concept for the recent combined-arms robot assault, a Ukrainian ground robot cleared a Russian trench in Kursk Oblast in western Russian back in September. Russia has attempted small-scale ground ’bot assaults of its own, but less successfully. The problem, of course, is that while robots are adept at surveilling and attacking, they’re terrible at holding. To hold ground, armies put infantry in trenches. They sit, watch, wait and call for reinforcements when the enemy attacks. It’s tedious, taxing duty that requires constant vigilance. Constant vigilance is difficult when a human operator is remotely observing the battlefield through the sensors of a maintenance-hungry ground robot. Machines break down. And their radio datalinks are highly susceptible to enemy jamming, as the California think-tank RAND discovered when it gamed out a clash between hypothetical U.S. (“Blue”) and Russian (“Red”) army battalions partially equipped with armed ground drones. “Blue’s ability to operate was degraded significantly by Red’s jammers,” RAND concluded. It’s not clear the 13th National Guard Brigade even tried to hold the Russian positions it cleared in the all-robot attack. Read more:

Owen Gregorian

116,018 просмотров • 1 год назад

Researchers at Tokamak Energy have captured for the first time a real-time, high-speed video of plasma behaviour inside their ST40 spherical tokamak, tracking visible green and red light emissions as the fusion process occurs. This visual insight comes via a camera operating at thousands of frames per second, offering unprecedented detail of how the plasma evolves, interacts with the surrounding lithium blanket and outer regions, and ultimately radiates energy. The imaging enables scientists to observe how the ultra-hot core transitions outward into cooler zones, how magnetic confinement shapes the plasma behaviour, and how impurities or outer-region interactions influence the process. By giving a ‘star-in-a-donut’ view of fusion in action, this breakthrough adds a new diagnostic tool to the development of fusion energy, helping engineers refine the magnetic confinement, optimise plasma stability and better understand the heat and light flows at play. It was slowed down by 100x. All this was for 0.3s A tokamak is one of the most advanced devices ever created to achieve controlled nuclear fusion, the same process that powers the Sun. Its goal is simple in principle but incredibly challenging in practice: heat a gas until it becomes plasma, raise that plasma to over 100 million degrees, and confine it long enough for hydrogen nuclei to fuse and release energy. Because no material container can survive such temperatures, a tokamak uses powerful magnetic fields to hold and shape the plasma like an invisible cage. The device has a distinctive doughnut-shaped (toroidal) chamber surrounded by magnetic coils. When the machine is switched on, electric currents and external magnets work together to create helical magnetic fields that trap the plasma and keep it away from the walls. As the plasma spirals around these magnetic lines, it heats up dramatically. Additional heating comes from methods like radio-frequency waves and neutral-beam injection, pushing the plasma toward the extreme temperatures needed for fusion. Inside this tightly controlled environment, hydrogen isotopes such as deuterium and tritium can collide and fuse, releasing fast neutrons and a burst of energy. The goal of tokamak research is to reach a point where the fusion reactions produce more energy than the system consumes, a milestone known as “net energy gain.” Modern machines like ITER, JET, and Tokamak Energy’s ST40 are bringing this vision closer, using advanced diagnostics, superconducting magnets, and increasingly stable plasma control. 👉

Researchers at Tokamak Energy have captured for the first time a real-time, high-speed video of plasma behaviour inside their ST40 spherical tokamak, tracking visible green and red light emissions as the fusion process occurs. This visual insight comes via a camera operating at thousands of frames per second, offering unprecedented detail of how the plasma evolves, interacts with the surrounding lithium blanket and outer regions, and ultimately radiates energy. The imaging enables scientists to observe how the ultra-hot core transitions outward into cooler zones, how magnetic confinement shapes the plasma behaviour, and how impurities or outer-region interactions influence the process. By giving a ‘star-in-a-donut’ view of fusion in action, this breakthrough adds a new diagnostic tool to the development of fusion energy, helping engineers refine the magnetic confinement, optimise plasma stability and better understand the heat and light flows at play. It was slowed down by 100x. All this was for 0.3s A tokamak is one of the most advanced devices ever created to achieve controlled nuclear fusion, the same process that powers the Sun. Its goal is simple in principle but incredibly challenging in practice: heat a gas until it becomes plasma, raise that plasma to over 100 million degrees, and confine it long enough for hydrogen nuclei to fuse and release energy. Because no material container can survive such temperatures, a tokamak uses powerful magnetic fields to hold and shape the plasma like an invisible cage. The device has a distinctive doughnut-shaped (toroidal) chamber surrounded by magnetic coils. When the machine is switched on, electric currents and external magnets work together to create helical magnetic fields that trap the plasma and keep it away from the walls. As the plasma spirals around these magnetic lines, it heats up dramatically. Additional heating comes from methods like radio-frequency waves and neutral-beam injection, pushing the plasma toward the extreme temperatures needed for fusion. Inside this tightly controlled environment, hydrogen isotopes such as deuterium and tritium can collide and fuse, releasing fast neutrons and a burst of energy. The goal of tokamak research is to reach a point where the fusion reactions produce more energy than the system consumes, a milestone known as “net energy gain.” Modern machines like ITER, JET, and Tokamak Energy’s ST40 are bringing this vision closer, using advanced diagnostics, superconducting magnets, and increasingly stable plasma control. 👉

Erika 

162,540 просмотров • 10 месяцев назад

🚨🇺🇸 In 1980, the United States built an aircraft for a mission that sounded impossible. Land a large military plane inside a stadium in the middle of Tehran. Rescue hostages. Take off again before anyone could respond. The aircraft was a Lockheed C 130 Hercules. The program was called Credible Sport. Engineers transformed the C 130 into something closer to a missile than a transport aircraft. They attached 30 rocket motors across the nose, wings, and fuselage. Some rockets fired downward to slow the aircraft just seconds before touchdown. Others fired forward to bring it to an almost instant stop. More rockets pointed backward to blast the aircraft into the air during takeoff. The goal was extreme short takeoff and landing inside a confined urban stadium with no runway. Pilots trained to descend steeply at night, ignite rockets just above the ground, stop in a few hundred feet, load hostages, then launch out using raw rocket thrust. Everything had to be perfect. One mistimed rocket meant total destruction. During testing, a malfunction caused a crash and exposed how dangerous the concept truly was. The aircraft survived. The idea survived. The mission never happened. Diplomacy freed the hostages before Credible Sport was deployed. But for a brief moment in history, a C 130 was turned into a rocket powered rescue aircraft designed to invade a capital city, land in a stadium, and escape. No aircraft before or since has been built for a mission this extreme.

🚨🇺🇸 In 1980, the United States built an aircraft for a mission that sounded impossible. Land a large military plane inside a stadium in the middle of Tehran. Rescue hostages. Take off again before anyone could respond. The aircraft was a Lockheed C 130 Hercules. The program was called Credible Sport. Engineers transformed the C 130 into something closer to a missile than a transport aircraft. They attached 30 rocket motors across the nose, wings, and fuselage. Some rockets fired downward to slow the aircraft just seconds before touchdown. Others fired forward to bring it to an almost instant stop. More rockets pointed backward to blast the aircraft into the air during takeoff. The goal was extreme short takeoff and landing inside a confined urban stadium with no runway. Pilots trained to descend steeply at night, ignite rockets just above the ground, stop in a few hundred feet, load hostages, then launch out using raw rocket thrust. Everything had to be perfect. One mistimed rocket meant total destruction. During testing, a malfunction caused a crash and exposed how dangerous the concept truly was. The aircraft survived. The idea survived. The mission never happened. Diplomacy freed the hostages before Credible Sport was deployed. But for a brief moment in history, a C 130 was turned into a rocket powered rescue aircraft designed to invade a capital city, land in a stadium, and escape. No aircraft before or since has been built for a mission this extreme.

Defence Index

703,960 просмотров • 9 месяцев назад

Hello, Ghana 🇬🇭 Your Excellency, John Dramani Mahama Hello Africa and the world. We 3Farmate are proud to announce the official launch of FAMA—Ghana's FIRST AI-powered autonomous farming robot for large-scale crop production. Founded in 2021 by Clinton 🛸 (CEO) and Koffi-Cobbin (CTO), the company began in a dorm room at Kwame Nkrumah University of Science and Technology, where its first prototype was developed. Since then, the team has engineered FAMA into a full-scale autonomous robot capable of planting seeds, applying fertilizer, weeding, and spraying across real farm environments. FAMA navigates using a vision-based AI system instead of GPS, allowing it to operate reliably in areas where GPS is unavailable or inconsistent. The robot runs on batteries charged by solar panels while in the field and can operate across uneven terrain, loose and muddy soils, and variable weather conditions. A single operator can oversee multiple robots, each covering 27 to 35 acres per day with sub-85mm planting precision. 3Farmate targets large-scale staple crop producers in Ghana, starting with corn and soybeans. We operate a service model, charging farmers per acre and removing the need for upfront equipment investment. Over 70 farmers and several large-scale crop production companies are currently in discussions, with commercial deployments beginning in the 2026 planting season. Approximately $200,000 has been raised to date, including investment from 776 Foundation (Alexis Ohanian, Reddit co-founder) and a grant from Kosmos Innovation Center Ghana. Our team consists of young engineers specializing in robotics, embedded systems, software, and mechanical design. With 8 major iterations, 60+ field test runs, 100+ cumulative acres covered, and thousands of runtime hours in real farm conditions, FAMA is market-ready to become the ultimate farmer-assistant. We built FAMA right here in Ghana, inspired by Dr. Kwame Nkrumah’s belief that “Africa must industrialize to achieve true independence.” We built FAMA as a true testament to every young engineer in Africa that “IT IS POSSIBLE.” FAMA is designed to operate seamlessly on Ghanaian soil and is adaptable to diverse agricultural environments worldwide. Join us as we drive innovation across global agriculture. We call on the government of Ghana, stakeholders, international organizations, and agri-industry leaders to partner with us in transforming agriculture together. This is not history in the making, because history has already been made, and we thank you for being a part of our journey. On this note, we are officially launched! For more information, visit 3FARMATE – The future is here.

Hello, Ghana 🇬🇭 Your Excellency, John Dramani Mahama Hello Africa and the world. We 3Farmate are proud to announce the official launch of FAMA—Ghana's FIRST AI-powered autonomous farming robot for large-scale crop production. Founded in 2021 by Clinton 🛸 (CEO) and Koffi-Cobbin (CTO), the company began in a dorm room at Kwame Nkrumah University of Science and Technology, where its first prototype was developed. Since then, the team has engineered FAMA into a full-scale autonomous robot capable of planting seeds, applying fertilizer, weeding, and spraying across real farm environments. FAMA navigates using a vision-based AI system instead of GPS, allowing it to operate reliably in areas where GPS is unavailable or inconsistent. The robot runs on batteries charged by solar panels while in the field and can operate across uneven terrain, loose and muddy soils, and variable weather conditions. A single operator can oversee multiple robots, each covering 27 to 35 acres per day with sub-85mm planting precision. 3Farmate targets large-scale staple crop producers in Ghana, starting with corn and soybeans. We operate a service model, charging farmers per acre and removing the need for upfront equipment investment. Over 70 farmers and several large-scale crop production companies are currently in discussions, with commercial deployments beginning in the 2026 planting season. Approximately $200,000 has been raised to date, including investment from 776 Foundation (Alexis Ohanian, Reddit co-founder) and a grant from Kosmos Innovation Center Ghana. Our team consists of young engineers specializing in robotics, embedded systems, software, and mechanical design. With 8 major iterations, 60+ field test runs, 100+ cumulative acres covered, and thousands of runtime hours in real farm conditions, FAMA is market-ready to become the ultimate farmer-assistant. We built FAMA right here in Ghana, inspired by Dr. Kwame Nkrumah’s belief that “Africa must industrialize to achieve true independence.” We built FAMA as a true testament to every young engineer in Africa that “IT IS POSSIBLE.” FAMA is designed to operate seamlessly on Ghanaian soil and is adaptable to diverse agricultural environments worldwide. Join us as we drive innovation across global agriculture. We call on the government of Ghana, stakeholders, international organizations, and agri-industry leaders to partner with us in transforming agriculture together. This is not history in the making, because history has already been made, and we thank you for being a part of our journey. On this note, we are officially launched! For more information, visit 3FARMATE – The future is here.

MARK OFORIQUAYE

150,152 просмотров • 6 месяцев назад

Grok Bot summary of NVIDIA CEO Jensen Huang’s fireside chat at today’s G20 Meeting: Power, data centers, and infrastructure - He said AI has turned a corner: it is now productive infrastructure, like energy or the internet, not just phones and PCs. - Energy is the bottom of the stack. You cannot produce intelligence without it. These systems turn electricity into mathematics, then into something you can sell. - Compute is priced like power: dollars per million tokens, the way energy is dollars per kilowatt-hour. - A data center is land, power, and a shell. Plug energy in, and money starts coming out. - Every country needs this the way it needs water, roads, electricity, and the internet. Local capacity is what activates researchers, students, startups, and industry. - US edge he cited: pro-energy growth and faster regulation. This year, close to a trillion dollars into US infrastructure, and jobs across chip fabs, computer plants, and “AI factories.” - Scale: one gigawatt of this infrastructure is about $50–60 billion (old-school, a $25 billion chip fab felt huge). NVIDIA’s plan: 100 gigawatts by the end of the decade. AI as a growth engine - The “token” is just a number produced by a lot of computation. String enough of them together and you get an image, a paragraph, an answer, or a new idea. That is how you put a price on intelligence. - Once you use it, the value is obvious: more productive workers, more capable engineers, faster education for young populations, a quicker lift for countries building science and tech. - For 50 years, computers were a tool for maybe 10–20 million people who knew how to program. Now anyone can program a computer in human language. He called that the great equalizer. - AI is a five-layer cake: energy, chips, data-center infrastructure, models, then data and applications. The US is trying to lead the whole cake. Other countries do not have to win every layer. They should pick where to invest, and push adoption into education, healthcare, manufacturing, and science. - NVIDIA’s pitch: it runs American models, international models, and models in biology, chemistry, physics, and robotics. - AGI in the next couple of years, and he argued we are practically there now. That does not mean a company plugs into an API and becomes productive overnight. Even a brilliant MIT hire still needs context, purpose, and a harness around them. Same for AI. - Tasks get automated. The job’s purpose (context, meaning, direction) stays. People get supercharged, not replaced. “All the jobs disappear” he called nonsense. - Use off-the-shelf AI where you can, but every country and company still has to build some of its own intelligence. Do not outsource all of it. - Next 5–10 years: things that took 10 years take 1; things that took a year take a month. First time innovators talk about adding $20–50 trillion of benefit to a $100 trillion industry. Robotics and physical AI - AI starts as software. What made LLMs useful was putting an “agent harness” around them: retrieval, working memory, tools, collaboration. - Put that agent in a body and it is a robot. Four wheels: a self-driving car. A manipulator: pick-and-place. Also grocery and logistics vehicles, surgical robots, autonomous drug-discovery labs. - Same idea throughout: a large language model plus an agentic system, using digital tools or physical ones. How countries should play it - Treat AI as infrastructure, then actually build some of it at home. - You do not have to invent every layer. You do have to get AI into your own industries. - The real risk is not using it and getting left behind. Safety and regulation - New tech always looks like magic. Building it is engineering, and the people building it own safety, the way they do for cars and planes. - He wants the tech to advance faster, because advancement is what made it safer (less hallucination, grounded in real truth). - Balance fear-and-safety talk with prosperity talk. Airline analogy: passengers did not want ads about whose plane was safer. They wanted new destinations. Safety is the builder’s job, not the public’s daily burden. - Regulate actual, pragmatic harm, not hypothetical harm. Fold AI into agencies that already exist (FDA, NHTSA, and the rest) instead of inventing a freeze on early S-curve tech. Why GPUs, in his telling - A GPU is a general-purpose parallel processor: physics, chemistry, graphics, and AI. - 14th-generation architecture, in clouds, on-prem, at the edge, in robots and cars. - Because a gigawatt costs $50–60 billion, you want an architecture that is fungible and durable. If models change (and they are changing fast), a too-specialized chip can obsolete the whole investment. That, he said, is why NVIDIA’s growth is accelerating.

Grok Bot summary of NVIDIA CEO Jensen Huang’s fireside chat at today’s G20 Meeting: Power, data centers, and infrastructure - He said AI has turned a corner: it is now productive infrastructure, like energy or the internet, not just phones and PCs. - Energy is the bottom of the stack. You cannot produce intelligence without it. These systems turn electricity into mathematics, then into something you can sell. - Compute is priced like power: dollars per million tokens, the way energy is dollars per kilowatt-hour. - A data center is land, power, and a shell. Plug energy in, and money starts coming out. - Every country needs this the way it needs water, roads, electricity, and the internet. Local capacity is what activates researchers, students, startups, and industry. - US edge he cited: pro-energy growth and faster regulation. This year, close to a trillion dollars into US infrastructure, and jobs across chip fabs, computer plants, and “AI factories.” - Scale: one gigawatt of this infrastructure is about $50–60 billion (old-school, a $25 billion chip fab felt huge). NVIDIA’s plan: 100 gigawatts by the end of the decade. AI as a growth engine - The “token” is just a number produced by a lot of computation. String enough of them together and you get an image, a paragraph, an answer, or a new idea. That is how you put a price on intelligence. - Once you use it, the value is obvious: more productive workers, more capable engineers, faster education for young populations, a quicker lift for countries building science and tech. - For 50 years, computers were a tool for maybe 10–20 million people who knew how to program. Now anyone can program a computer in human language. He called that the great equalizer. - AI is a five-layer cake: energy, chips, data-center infrastructure, models, then data and applications. The US is trying to lead the whole cake. Other countries do not have to win every layer. They should pick where to invest, and push adoption into education, healthcare, manufacturing, and science. - NVIDIA’s pitch: it runs American models, international models, and models in biology, chemistry, physics, and robotics. - AGI in the next couple of years, and he argued we are practically there now. That does not mean a company plugs into an API and becomes productive overnight. Even a brilliant MIT hire still needs context, purpose, and a harness around them. Same for AI. - Tasks get automated. The job’s purpose (context, meaning, direction) stays. People get supercharged, not replaced. “All the jobs disappear” he called nonsense. - Use off-the-shelf AI where you can, but every country and company still has to build some of its own intelligence. Do not outsource all of it. - Next 5–10 years: things that took 10 years take 1; things that took a year take a month. First time innovators talk about adding $20–50 trillion of benefit to a $100 trillion industry. Robotics and physical AI - AI starts as software. What made LLMs useful was putting an “agent harness” around them: retrieval, working memory, tools, collaboration. - Put that agent in a body and it is a robot. Four wheels: a self-driving car. A manipulator: pick-and-place. Also grocery and logistics vehicles, surgical robots, autonomous drug-discovery labs. - Same idea throughout: a large language model plus an agentic system, using digital tools or physical ones. How countries should play it - Treat AI as infrastructure, then actually build some of it at home. - You do not have to invent every layer. You do have to get AI into your own industries. - The real risk is not using it and getting left behind. Safety and regulation - New tech always looks like magic. Building it is engineering, and the people building it own safety, the way they do for cars and planes. - He wants the tech to advance faster, because advancement is what made it safer (less hallucination, grounded in real truth). - Balance fear-and-safety talk with prosperity talk. Airline analogy: passengers did not want ads about whose plane was safer. They wanted new destinations. Safety is the builder’s job, not the public’s daily burden. - Regulate actual, pragmatic harm, not hypothetical harm. Fold AI into agencies that already exist (FDA, NHTSA, and the rest) instead of inventing a freeze on early S-curve tech. Why GPUs, in his telling - A GPU is a general-purpose parallel processor: physics, chemistry, graphics, and AI. - 14th-generation architecture, in clouds, on-prem, at the edge, in robots and cars. - Because a gigawatt costs $50–60 billion, you want an architecture that is fungible and durable. If models change (and they are changing fast), a too-specialized chip can obsolete the whole investment. That, he said, is why NVIDIA’s growth is accelerating.

DogeDesigner

63,294 просмотров • 19 дней назад

i don't think people realize what's happening in Chinese robotics. this one manufacturer might be the most impressive AND most concerning company on Earth right now let me explain... Unitree Robotics sells a humanoid robot for $5,900. their robot dog costs $1,600 (Boston Dynamics charges $74,500 for theirs for context). you can literally buy these on Amazon today. so obviously the first question is: how is that even possible? the answer starts with a guy who couldn't pass his English exam. Wang Xingxing grew up in Zhejiang province. for his master's thesis, he decided to build a quadruped robot. budget: about $3,000. for context, $3,000 for this kinda robot is nothing. off-the-shelf servo motors alone would've eaten that twice over. so Wang did the only thing he could: he designed and machined every single component himself. motors, joints, controllers, the frame. all of it. the resulting robot was janky and imperfect. but it worked. and the video went viral globally. after graduating he joined DJI. but he quit after two months, and this is 2016, when DJI was arguably the hottest hardware company in China. walking away from that with no money to start a robotics company is a... specific kind of stubborn. he launches Unitree with $280K from a single angel investor. tiny office in Hangzhou. 50 square meters. but the money runs out fast. he can't make payroll for three years. the company almost dies in 2017. but emergency government funding arrives with days to spare. he survives, barely, and keeps building. this is where it gets really fascinating IMO. this founding constraint, building everything yourself because you literally cannot afford to buy parts, never went away. even after funding rounds started landing. even after revenue kicked in. it just became the company's permanent DNA. Unitree now manufactures 90%+ of its core components in-house. motors, reducers, controllers, encoders, LiDAR, etc the founder's $3,000 robot thesis ended up being an architectural decision that turned out to be structurally superior. think about what that means in practice. Boston Dynamics needs a better motor? they negotiate with a supplier, wait on lead times, qualify the part. but when Unitree needs one, they design theirs internally and have a new version in production within weeks. that gap compounds every cycle. Unitree shipped three separate humanoid platforms in 18 months. Figure AI has shipped one. Tesla has shipped zero commercially. the results are getting hard to dismiss. 23,700 robot dogs shipped in 2024 (roughly 70% of the entire global market). 7,000+ humanoids deployed. over 600 industrial sites running their quadrupeds. $140M+ revenue, profitable every year since 2020. for perspective: no Western humanoid competitor is profitable. not one. OK. now here's where the "most concerning" part of this starts... if you watched the DJI story unfold, you already recognize the shape. affordable Chinese hardware quietly saturates global markets. years later, the national security questions arrive, after the install base is already massive. drones, then EVs, then AI. now robots. Unitree is running this exact playbook in real time. in April 2025, researchers found an undocumented backdoor in their Go1 robot. a remote tunnel letting anyone control the robot and stream its camera feed. default password: pi/123. 1,919 vulnerable units exposed globally. including machines at MIT, Princeton, and Carnegie Mellon. but it gets worse. every Unitree robot shares the same hardcoded encryption key. encrypt the word "unitree" and you get root access to any of them. one compromised robot can spread to every Unitree robot in Bluetooth range automatically. a literal robot botnet. the G1 quietly transmits sensor data to Chinese servers every five minutes. audio, video, GPS, LiDAR spatial mapping, with no notification, no consent, no opt-out. PLA footage has shown Go2 robots with mounted weapons. Ukrainian forces literally deployed weaponized units on the actual frontline. and every member of the bipartisan House China Committee signed a letter calling for Unitree's military company designation. Wang signed a 2022 pledge alongside Boston Dynamics not to weaponize robots. but pledges don't survive contact with shipping hardware to open markets. and under China's 2025 rules restricting military-related speech, Unitree couldn't publicly confirm PLA use even if they wanted to. 50,000+ of these robots are now deployed globally. some at institutions that probably should've asked harder questions before connecting them to their networks. the security stuff is real and people should know about it. but i also think it's important not to let that overshadow what's actually been built here. a 35-year-old who failed his English exam created a robotics company that's outshipping and outpricing every Western competitor while being the only profitable humanoid maker on Earth. most impressive and most concerning company in the world right now.

i don't think people realize what's happening in Chinese robotics. this one manufacturer might be the most impressive AND most concerning company on Earth right now let me explain... Unitree Robotics sells a humanoid robot for $5,900. their robot dog costs $1,600 (Boston Dynamics charges $74,500 for theirs for context). you can literally buy these on Amazon today. so obviously the first question is: how is that even possible? the answer starts with a guy who couldn't pass his English exam. Wang Xingxing grew up in Zhejiang province. for his master's thesis, he decided to build a quadruped robot. budget: about $3,000. for context, $3,000 for this kinda robot is nothing. off-the-shelf servo motors alone would've eaten that twice over. so Wang did the only thing he could: he designed and machined every single component himself. motors, joints, controllers, the frame. all of it. the resulting robot was janky and imperfect. but it worked. and the video went viral globally. after graduating he joined DJI. but he quit after two months, and this is 2016, when DJI was arguably the hottest hardware company in China. walking away from that with no money to start a robotics company is a... specific kind of stubborn. he launches Unitree with $280K from a single angel investor. tiny office in Hangzhou. 50 square meters. but the money runs out fast. he can't make payroll for three years. the company almost dies in 2017. but emergency government funding arrives with days to spare. he survives, barely, and keeps building. this is where it gets really fascinating IMO. this founding constraint, building everything yourself because you literally cannot afford to buy parts, never went away. even after funding rounds started landing. even after revenue kicked in. it just became the company's permanent DNA. Unitree now manufactures 90%+ of its core components in-house. motors, reducers, controllers, encoders, LiDAR, etc the founder's $3,000 robot thesis ended up being an architectural decision that turned out to be structurally superior. think about what that means in practice. Boston Dynamics needs a better motor? they negotiate with a supplier, wait on lead times, qualify the part. but when Unitree needs one, they design theirs internally and have a new version in production within weeks. that gap compounds every cycle. Unitree shipped three separate humanoid platforms in 18 months. Figure AI has shipped one. Tesla has shipped zero commercially. the results are getting hard to dismiss. 23,700 robot dogs shipped in 2024 (roughly 70% of the entire global market). 7,000+ humanoids deployed. over 600 industrial sites running their quadrupeds. $140M+ revenue, profitable every year since 2020. for perspective: no Western humanoid competitor is profitable. not one. OK. now here's where the "most concerning" part of this starts... if you watched the DJI story unfold, you already recognize the shape. affordable Chinese hardware quietly saturates global markets. years later, the national security questions arrive, after the install base is already massive. drones, then EVs, then AI. now robots. Unitree is running this exact playbook in real time. in April 2025, researchers found an undocumented backdoor in their Go1 robot. a remote tunnel letting anyone control the robot and stream its camera feed. default password: pi/123. 1,919 vulnerable units exposed globally. including machines at MIT, Princeton, and Carnegie Mellon. but it gets worse. every Unitree robot shares the same hardcoded encryption key. encrypt the word "unitree" and you get root access to any of them. one compromised robot can spread to every Unitree robot in Bluetooth range automatically. a literal robot botnet. the G1 quietly transmits sensor data to Chinese servers every five minutes. audio, video, GPS, LiDAR spatial mapping, with no notification, no consent, no opt-out. PLA footage has shown Go2 robots with mounted weapons. Ukrainian forces literally deployed weaponized units on the actual frontline. and every member of the bipartisan House China Committee signed a letter calling for Unitree's military company designation. Wang signed a 2022 pledge alongside Boston Dynamics not to weaponize robots. but pledges don't survive contact with shipping hardware to open markets. and under China's 2025 rules restricting military-related speech, Unitree couldn't publicly confirm PLA use even if they wanted to. 50,000+ of these robots are now deployed globally. some at institutions that probably should've asked harder questions before connecting them to their networks. the security stuff is real and people should know about it. but i also think it's important not to let that overshadow what's actually been built here. a 35-year-old who failed his English exam created a robotics company that's outshipping and outpricing every Western competitor while being the only profitable humanoid maker on Earth. most impressive and most concerning company in the world right now.

Ole Lehmann

123,024 просмотров • 6 месяцев назад

🚨🇷🇺 NATO IN PANIC: RUSSIA’S SU-57 STEALTH FIGHTER GETS NEW MISSILE THAT HUNTS THROUGH JAMMING Russia has unveiled the RVV-SDM, a new medium-range air-to-air missile developed for the Su-57 and other Russian combat aircraft. The first official image shows two missiles inside the fighter’s internal weapons bay, preserving the aircraft’s stealth while expanding its ability to attack targets beyond visual range. 🔸 The RVV-SDM is designed to destroy fighters, helicopters, drones and other aerial targets day or night, in difficult weather and under heavy electronic warfare. 🔸 Its guidance system combines inertial navigation, mid-course radio correction and an active radar seeker for the final attack. A passive channel allows the missile to track an emitting target without broadcasting its own radar signal. 🔸 That creates a serious problem for enemy aircraft using powerful electronic countermeasures. Instead of breaking the lock, a jammer can become the signal that guides the missile toward its target. 🔸 The missile uses an upgraded solid-fuel motor with greater energy than the earlier RVV-SD. Russia has not disclosed its exact maximum range, but confirms that it exceeds the predecessor’s 110 km reach. 🔸 Internal carriage is central to the design. Folding aerodynamic surfaces allow the RVV-SDM to fit inside the Su-57, avoiding external pylons that would increase radar visibility and drag. 🔸 The “fire-and-forget” capability allows the Su-57 to launch, change course and leave the threatened area while the missile independently completes the final stage of the interception. 🔸 RVV-SDM fills the middle layer of the Su-57’s air-combat arsenal between the short-range RVV-MD2 and long-range RVV-BD. The fighter can therefore carry different weapons for close combat, conventional beyond-visual-range engagements and attacks against high-value aircraft at much greater distances. Rosoboronexport is also offering the missile with the Su-57E and says it can be integrated onto other Russian-made fighters after modification. That gives foreign Su-57 operators access to the same combination of internal carriage, improved range and guidance built to operate through electronic warfare. For NATO pilots, switching on the jammer may no longer provide a clean escape route. The signal intended to protect the aircraft could instead help the Russian missile find it. Do you think NATO has an answer to the Su-57’s new missile?

🚨🇷🇺 NATO IN PANIC: RUSSIA’S SU-57 STEALTH FIGHTER GETS NEW MISSILE THAT HUNTS THROUGH JAMMING Russia has unveiled the RVV-SDM, a new medium-range air-to-air missile developed for the Su-57 and other Russian combat aircraft. The first official image shows two missiles inside the fighter’s internal weapons bay, preserving the aircraft’s stealth while expanding its ability to attack targets beyond visual range. 🔸 The RVV-SDM is designed to destroy fighters, helicopters, drones and other aerial targets day or night, in difficult weather and under heavy electronic warfare. 🔸 Its guidance system combines inertial navigation, mid-course radio correction and an active radar seeker for the final attack. A passive channel allows the missile to track an emitting target without broadcasting its own radar signal. 🔸 That creates a serious problem for enemy aircraft using powerful electronic countermeasures. Instead of breaking the lock, a jammer can become the signal that guides the missile toward its target. 🔸 The missile uses an upgraded solid-fuel motor with greater energy than the earlier RVV-SD. Russia has not disclosed its exact maximum range, but confirms that it exceeds the predecessor’s 110 km reach. 🔸 Internal carriage is central to the design. Folding aerodynamic surfaces allow the RVV-SDM to fit inside the Su-57, avoiding external pylons that would increase radar visibility and drag. 🔸 The “fire-and-forget” capability allows the Su-57 to launch, change course and leave the threatened area while the missile independently completes the final stage of the interception. 🔸 RVV-SDM fills the middle layer of the Su-57’s air-combat arsenal between the short-range RVV-MD2 and long-range RVV-BD. The fighter can therefore carry different weapons for close combat, conventional beyond-visual-range engagements and attacks against high-value aircraft at much greater distances. Rosoboronexport is also offering the missile with the Su-57E and says it can be integrated onto other Russian-made fighters after modification. That gives foreign Su-57 operators access to the same combination of internal carriage, improved range and guidance built to operate through electronic warfare. For NATO pilots, switching on the jammer may no longer provide a clean escape route. The signal intended to protect the aircraft could instead help the Russian missile find it. Do you think NATO has an answer to the Su-57’s new missile?

NewRulesGeopolitics

57,197 просмотров • 1 месяц назад

Archons, Loosh & The Soul Trap | The Gnostic Revelation Life is an act of consumption. To live is to consume. The hypothesis of the archons or the reality of the rulers. This is the book that scholars treat as the main source on what these things are supposed to be. And the description of the archons it gives is very short and very strange. Their bodies are both male and female and their faces are the faces of beasts. No wings, no armor, no fire, just those two details. In the Corpus Hermeticum, in a text called the poandras, the soul goes up through the planetary spheres after death. Seven of them. And in each one, the soul hands something back. A vice, a compulsion, a piece of what it picked up on the way down. Same seven levels, same ascent, same shedding. But this time, nobody stops you and no one demands a toll. Plato tells a version two, the myth of at the end of the republic where souls choose their next life, then cross a plane and drink from the river of forgetting before they come back. And The Mandans, an ethnom religious group from Mesopotamia, are widely recognized as the last surviving ancient Gnostic sect, and they're still around today. Iraq, Iran, and now in a diaspora after the last 20 years. They are the only group of people with a direct line back to this world that survived. And they have a text called the Matarata. It has watchous, stations that the soul passes through where it examined. And in southern France in the 12 and 1300s, the Cathars taught that the world was created by a lesser entity. Inside this was a creation story, an intelligence that he calls someone builds the earth as a garden in order to cultivate an energy called louch. Louch is apparently produced by living things through struggle, fear, pain, and death. Humans, who he refers to as the fourth crop, produce it most efficiently. Entities that Monroe calls collectors, managed its production and periodically harvest the louch under someone's instructions. Monroe writes that this someone divided humans into male and female specifically to create loneliness. He lists the tools that they use for harvesting family, greed, hate, guilt, disease, ambition, sacrifice, war, famine, and religion. Monroe says that he was severely depressed for months after receiving this information. He's then shown that the most refined form of louch is not actually suffering, but love produced when a being risks itself for another under threat. Why are they doing all this? It is our capacity for individuality. Our souls that makes us different from them. They think they can find the human soul. They control everything here. Your entire history is an illusion, a fabrication, as it is with all of us.

Archons, Loosh & The Soul Trap | The Gnostic Revelation Life is an act of consumption. To live is to consume. The hypothesis of the archons or the reality of the rulers. This is the book that scholars treat as the main source on what these things are supposed to be. And the description of the archons it gives is very short and very strange. Their bodies are both male and female and their faces are the faces of beasts. No wings, no armor, no fire, just those two details. In the Corpus Hermeticum, in a text called the poandras, the soul goes up through the planetary spheres after death. Seven of them. And in each one, the soul hands something back. A vice, a compulsion, a piece of what it picked up on the way down. Same seven levels, same ascent, same shedding. But this time, nobody stops you and no one demands a toll. Plato tells a version two, the myth of at the end of the republic where souls choose their next life, then cross a plane and drink from the river of forgetting before they come back. And The Mandans, an ethnom religious group from Mesopotamia, are widely recognized as the last surviving ancient Gnostic sect, and they're still around today. Iraq, Iran, and now in a diaspora after the last 20 years. They are the only group of people with a direct line back to this world that survived. And they have a text called the Matarata. It has watchous, stations that the soul passes through where it examined. And in southern France in the 12 and 1300s, the Cathars taught that the world was created by a lesser entity. Inside this was a creation story, an intelligence that he calls someone builds the earth as a garden in order to cultivate an energy called louch. Louch is apparently produced by living things through struggle, fear, pain, and death. Humans, who he refers to as the fourth crop, produce it most efficiently. Entities that Monroe calls collectors, managed its production and periodically harvest the louch under someone's instructions. Monroe writes that this someone divided humans into male and female specifically to create loneliness. He lists the tools that they use for harvesting family, greed, hate, guilt, disease, ambition, sacrifice, war, famine, and religion. Monroe says that he was severely depressed for months after receiving this information. He's then shown that the most refined form of louch is not actually suffering, but love produced when a being risks itself for another under threat. Why are they doing all this? It is our capacity for individuality. Our souls that makes us different from them. They think they can find the human soul. They control everything here. Your entire history is an illusion, a fabrication, as it is with all of us.

🧬Maxpein🧬

11,626 просмотров • 11 дней назад