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Cooling, upgraded. The first batch of BITMAIN Antminer L9s under PinLinks proprietary conversion from air to hydro cooling is now going live after highly impressive testing, running inside PinLink’s custom-built hydro cabinets, which will become available through the dApp. The devices are running flawlessly with smoother operations than air...

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PinLink

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20,067 просмотров • 8 месяцев назад •via X (Twitter)

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This is what happens when on-chain infrastructure meets real-world engineering. PinLink has converted a fleet of air-cooled L9 miners into a fully hydro-cooled system, unlocking a new performance ceiling. Higher sustained uptime, tighter thermal control, and consistently stronger hashrate under continuous load. Hydro-cooling is an edge. It removes the inefficiencies that cap air-cooled systems and optimizes physical infrastructure. This is exactly how PinLink operates: pairing on-chain coordination with physical execution to deliver maximum performance from real assets. Watch the video to see the conversion in action.
0:17

This is what happens when on-chain infrastructure meets real-world engineering. PinLink has converted a fleet of air-cooled L9 miners into a fully hydro-cooled system, unlocking a new performance ceiling. Higher sustained uptime, tighter thermal control, and consistently stronger hashrate under continuous load. Hydro-cooling is an edge. It removes the inefficiencies that cap air-cooled systems and optimizes physical infrastructure. This is exactly how PinLink operates: pairing on-chain coordination with physical execution to deliver maximum performance from real assets. Watch the video to see the conversion in action.

PinLink

11,939 просмотров • 8 месяцев назад

Strategic positioning inside the most rapidly expanding markets As Bitcoin mining, AI, and data centers scale, energy efficiency and cooling become the limiting factors. PinLink and Crypto Miners are together building proprietary custom hydro-cooling infrastructure. The first prototypes are almost shipped. By operating this layer, PinLink captures value where demand is structurally guaranteed. These systems will also be tokenized through PinLink, enabling on-chain access to real infrastructure through expanded distribution channels. Tokenized and physical access. The link between decentralized physical infra networks. Energy, cooling, and compute converge here. $PIN —> LINK
0:18

Strategic positioning inside the most rapidly expanding markets As Bitcoin mining, AI, and data centers scale, energy efficiency and cooling become the limiting factors. PinLink and Crypto Miners are together building proprietary custom hydro-cooling infrastructure. The first prototypes are almost shipped. By operating this layer, PinLink captures value where demand is structurally guaranteed. These systems will also be tokenized through PinLink, enabling on-chain access to real infrastructure through expanded distribution channels. Tokenized and physical access. The link between decentralized physical infra networks. Energy, cooling, and compute converge here. $PIN —> LINK

PinLink

18,974 просмотров • 8 месяцев назад

Satya Nadella: Microsoft’s latest Wisconsin AI data center keeps yearly water consumption no higher than that of 1 local restaurant. "The cooling loop is filled once and the data centre can operate effectively with zero water consumption. Daily water usage across a year is roughly equivalent to what a single restaurant would use" The mechanism is mainly about replacing evaporative cooling with closed-loop direct-to-chip liquid cooling, so water moves like coolant inside a sealed machine rather than being boiled off into the air. Hot GB200-class AI racks produce too much heat for normal air cooling, so cold liquid is pushed through pipes into the servers and across metal cold plates touching the hottest chips. The liquid enters the rack cool, absorbs heat from the chips through cold plates, then exits the rack at a higher temperature and carries that heat through pipes to a huge cooling system outside the compute floor. Microsoft says Fairwater sends that hot water to cooling “fins” beside the datacenter, where 172 20-foot fans blow air across the fins and dump the heat into the outside air. The important detail is that the air cools the water through metal surfaces, so the water does not need to evaporate the way many older datacenters use cooling towers. The cooled liquid then returns to the servers, repeats the loop, and keeps absorbing heat from the chips. In older data centers, heat is often removed partly through cooling towers. Hot water meets moving air, some water evaporates, and that phase change carries heat away. Effective, but it consumes fresh water continuously. But Firwater is a closed loop because the same coolant keeps circulating through sealed pipes: it absorbs heat from the chips, releases that heat through radiator-like fins, then flows back to the chips again. For Wisconsin Fairwater, Microsoft says more than 90% of the facility uses closed-loop liquid cooling, while the remaining portion uses outside air and switches to water only on the hottest days. ---- From "Microsoft" YouTube channel, (link in comment)
0:19

Satya Nadella: Microsoft’s latest Wisconsin AI data center keeps yearly water consumption no higher than that of 1 local restaurant. "The cooling loop is filled once and the data centre can operate effectively with zero water consumption. Daily water usage across a year is roughly equivalent to what a single restaurant would use" The mechanism is mainly about replacing evaporative cooling with closed-loop direct-to-chip liquid cooling, so water moves like coolant inside a sealed machine rather than being boiled off into the air. Hot GB200-class AI racks produce too much heat for normal air cooling, so cold liquid is pushed through pipes into the servers and across metal cold plates touching the hottest chips. The liquid enters the rack cool, absorbs heat from the chips through cold plates, then exits the rack at a higher temperature and carries that heat through pipes to a huge cooling system outside the compute floor. Microsoft says Fairwater sends that hot water to cooling “fins” beside the datacenter, where 172 20-foot fans blow air across the fins and dump the heat into the outside air. The important detail is that the air cools the water through metal surfaces, so the water does not need to evaporate the way many older datacenters use cooling towers. The cooled liquid then returns to the servers, repeats the loop, and keeps absorbing heat from the chips. In older data centers, heat is often removed partly through cooling towers. Hot water meets moving air, some water evaporates, and that phase change carries heat away. Effective, but it consumes fresh water continuously. But Firwater is a closed loop because the same coolant keeps circulating through sealed pipes: it absorbs heat from the chips, releases that heat through radiator-like fins, then flows back to the chips again. For Wisconsin Fairwater, Microsoft says more than 90% of the facility uses closed-loop liquid cooling, while the remaining portion uses outside air and switches to water only on the hottest days. ---- From "Microsoft" YouTube channel, (link in comment)

Rohan Paul

86,654 просмотров • 29 дней назад

Tokenization is quickly becoming one of the most talked-about ideas in crypto. This year we’re aiming much higher. We don’t just want to tokenize miner revenue; we want to bring entire productive ecosystems on-chain. That means tokenizing baskets of assets, real energy infrastructure, AI agents, compute power, data centres, and even the cooling systems that keep high-performance hardware running at scale. All of it connected and interoperable with DeFi. Thats what we have been building throughout. A single on-chain framework that unlocks something genuinely powerful: real ownership, real yield, and real coordination between digital and physical infrastructure. From backend systems and front-end interfaces to smart contracts, AI, physical infrastructure, oracles, and autonomous agents, the stack keeps expanding and compounding. It’s about building the foundation for how value will be owned, deployed, and earned in the next generation of the on-chain economy. Simplified by PinLink.
0:15

Tokenization is quickly becoming one of the most talked-about ideas in crypto. This year we’re aiming much higher. We don’t just want to tokenize miner revenue; we want to bring entire productive ecosystems on-chain. That means tokenizing baskets of assets, real energy infrastructure, AI agents, compute power, data centres, and even the cooling systems that keep high-performance hardware running at scale. All of it connected and interoperable with DeFi. Thats what we have been building throughout. A single on-chain framework that unlocks something genuinely powerful: real ownership, real yield, and real coordination between digital and physical infrastructure. From backend systems and front-end interfaces to smart contracts, AI, physical infrastructure, oracles, and autonomous agents, the stack keeps expanding and compounding. It’s about building the foundation for how value will be owned, deployed, and earned in the next generation of the on-chain economy. Simplified by PinLink.

PinLink

14,339 просмотров • 8 месяцев назад

A high-end injection mold can cost $400,000-$500,000, with dozens of cavities, hydraulic slides, lifters, ejectors, valve gates and hot runners packed inside hardened H13 or S136 steel. Some molds carry 128 cavities, producing 128 parts per cycle, while precision machining can hold tolerances around ±0.005 mm. Cooling circuits circulate water through channels inside the steel, with temperature control around 1-2°C, cycle after cycle. These aren't designed for a few thousand parts. High-end production tooling can be engineered for 1-2 million+ shots, operating through repeated injection pressure, heating, cooling and mechanical movement without losing much alignment. The industrial ecosystem required to make them is enormous, CNC machining, EDM, grinding, polishing, heat treatment, metrology, mold flow simulation, thermal management and hot-runner engineering all have to work together. And China has become the centre of gravity for this industry. China represented nearly 17.8% of the global injection molding market, while some industry estimate puts Chinese manufacturers at roughly 68% of global plastic injection mold supply. These are the machines that make the machines. For any country trying to build a serious manufacturing base, the ability to produce tooling this precise and complex is fundamental. These molds sit at the core of thousands of factories, determining how cheaply, quickly and reliably everything from cars to medical devices can be manufactured at scale.
0:14

A high-end injection mold can cost $400,000-$500,000, with dozens of cavities, hydraulic slides, lifters, ejectors, valve gates and hot runners packed inside hardened H13 or S136 steel. Some molds carry 128 cavities, producing 128 parts per cycle, while precision machining can hold tolerances around ±0.005 mm. Cooling circuits circulate water through channels inside the steel, with temperature control around 1-2°C, cycle after cycle. These aren't designed for a few thousand parts. High-end production tooling can be engineered for 1-2 million+ shots, operating through repeated injection pressure, heating, cooling and mechanical movement without losing much alignment. The industrial ecosystem required to make them is enormous, CNC machining, EDM, grinding, polishing, heat treatment, metrology, mold flow simulation, thermal management and hot-runner engineering all have to work together. And China has become the centre of gravity for this industry. China represented nearly 17.8% of the global injection molding market, while some industry estimate puts Chinese manufacturers at roughly 68% of global plastic injection mold supply. These are the machines that make the machines. For any country trying to build a serious manufacturing base, the ability to produce tooling this precise and complex is fundamental. These molds sit at the core of thousands of factories, determining how cheaply, quickly and reliably everything from cars to medical devices can be manufactured at scale.

Ammanichanda

625,219 просмотров • 1 месяц назад

First fully ML-framework-free 3D Gaussian Splatting implementation in LichtFeld Studio. I’ve completed the migration of the full training pipeline to a custom CUDA-based tensor library. No PyTorch, no LibTorch, no autograd. Every gradient is implemented by hand, either through CUDA kernels or minimal abstractions on top. This makes it the first full training setup for 3D Gaussian Splatting with zero dependencies on existing ML frameworks. It’s not just about independence, it's about control! We now manage every byte of GPU memory, which opens the door to tighter optimization and finer performance tuning. The framework footprint is minimal, without pulling in gigabytes of ML runtime code that was never designed for real-time or graphics-driven applications. A few modules, such as the metrics and 3DGUT interfaces, are still being ported, and some operations are temporarily naïve, so performance is not yet on par with master. But this refactor lays the groundwork for: - A fully self-contained binary - Fine-grained memory optimization - Easier experimentation without the weight of an ML stack We’re getting close.
0:17

First fully ML-framework-free 3D Gaussian Splatting implementation in LichtFeld Studio. I’ve completed the migration of the full training pipeline to a custom CUDA-based tensor library. No PyTorch, no LibTorch, no autograd. Every gradient is implemented by hand, either through CUDA kernels or minimal abstractions on top. This makes it the first full training setup for 3D Gaussian Splatting with zero dependencies on existing ML frameworks. It’s not just about independence, it's about control! We now manage every byte of GPU memory, which opens the door to tighter optimization and finer performance tuning. The framework footprint is minimal, without pulling in gigabytes of ML runtime code that was never designed for real-time or graphics-driven applications. A few modules, such as the metrics and 3DGUT interfaces, are still being ported, and some operations are temporarily naïve, so performance is not yet on par with master. But this refactor lays the groundwork for: - A fully self-contained binary - Fine-grained memory optimization - Easier experimentation without the weight of an ML stack We’re getting close.

MrNeRF

50,571 просмотров • 11 месяцев назад

Back then, the question “Is the AI agent working?” was basically checked in a demo 😅 everything clean, controlled data, ideal conditions… But the real world is a different story: 🔷 traffic increases 🔷 processing load gets congested 🔷 a small break can disrupt the whole chain 🔷 the system loses “consistency” So what looks strong on paper can sometimes fall apart in real conditions. DSeq + Hyperion are stepping in exactly here and this is actually one of the core problems Andromeda is trying to solve. Think of what happens in practice: 🔷 there’s a workflow 🔷 there are agents 🔷 but when load increases, “who did what and when” becomes unclear And that’s where the real issue appears: 🔷 execution breaks 🔷 consensus becomes unstable 🔷 cost/performance balance gets distorted So it’s not really about “building smarter agents”… 🔷 it’s about running the same system 🔷 across thousands of requests 🔷 continuously 🔷 without breaking Think of it like a live broadcast: “Demo looks great… but does the system hold up under real load?” That’s the real question. And the key point is: 🔷 there are many systems that work in simple cases 🔷 but very few that stay stable under heavy load So in your opinion, what will the real competition in AI agents be “intelligence” or “resilience”? 🤔 Metis🌿
0:10

Back then, the question “Is the AI agent working?” was basically checked in a demo 😅 everything clean, controlled data, ideal conditions… But the real world is a different story: 🔷 traffic increases 🔷 processing load gets congested 🔷 a small break can disrupt the whole chain 🔷 the system loses “consistency” So what looks strong on paper can sometimes fall apart in real conditions. DSeq + Hyperion are stepping in exactly here and this is actually one of the core problems Andromeda is trying to solve. Think of what happens in practice: 🔷 there’s a workflow 🔷 there are agents 🔷 but when load increases, “who did what and when” becomes unclear And that’s where the real issue appears: 🔷 execution breaks 🔷 consensus becomes unstable 🔷 cost/performance balance gets distorted So it’s not really about “building smarter agents”… 🔷 it’s about running the same system 🔷 across thousands of requests 🔷 continuously 🔷 without breaking Think of it like a live broadcast: “Demo looks great… but does the system hold up under real load?” That’s the real question. And the key point is: 🔷 there are many systems that work in simple cases 🔷 but very few that stay stable under heavy load So in your opinion, what will the real competition in AI agents be “intelligence” or “resilience”? 🤔 Metis🌿

Han.eth🌿☀️

12,755 просмотров • 4 месяцев назад

OK, I have a definitive word on the CJ Abrams play from today's Pittsburgh Pirates at Washington Nationals game after talking with Elias Sports Bureau on this. This play will stay as a sacrifice fly. The originial ruling of NOT a sacrifice fly was for the exact same reason that I thought, which is that the infielder is not running into the outfield, which is year's past would have been correct As it was explained to me, in past years, an infielder had to be running almost in a straight line towards the outfield wall to be considered "running in the outfield". Here, since he is running, and he ends up further away from home (157 feet) than when he started (145 feet), this is going to count as a sacrifice fly. That definition is changing, in part from this play to help bring greater consistency, and to take some of the guesswork out of it (the argument that he is running into the outfield as opposed to more parallel). Now, folks all the time ask "why doesn't MLB publish the OS Manual" and I always say because it is a living document that can have the wording change, and the wording for this play will be modified to something like "more towards the outfield wall than towards home plate" to eliminate any confusion. The big key to this play is that he was running on a full sprint. Also, and this is helpful for me, but for all fly ball outs that score a run, Elias Saba reviews to ensure consistency. So, yes, it's a sacrifice fly, and now that I have that info from Elias themselves, that sort of settles this one. Sounds like the guidelines for this definition will be changing, either this season, or certainly for next season.
0:14

OK, I have a definitive word on the CJ Abrams play from today's Pittsburgh Pirates at Washington Nationals game after talking with Elias Sports Bureau on this. This play will stay as a sacrifice fly. The originial ruling of NOT a sacrifice fly was for the exact same reason that I thought, which is that the infielder is not running into the outfield, which is year's past would have been correct As it was explained to me, in past years, an infielder had to be running almost in a straight line towards the outfield wall to be considered "running in the outfield". Here, since he is running, and he ends up further away from home (157 feet) than when he started (145 feet), this is going to count as a sacrifice fly. That definition is changing, in part from this play to help bring greater consistency, and to take some of the guesswork out of it (the argument that he is running into the outfield as opposed to more parallel). Now, folks all the time ask "why doesn't MLB publish the OS Manual" and I always say because it is a living document that can have the wording change, and the wording for this play will be modified to something like "more towards the outfield wall than towards home plate" to eliminate any confusion. The big key to this play is that he was running on a full sprint. Also, and this is helpful for me, but for all fly ball outs that score a run, Elias Saba reviews to ensure consistency. So, yes, it's a sacrifice fly, and now that I have that info from Elias themselves, that sort of settles this one. Sounds like the guidelines for this definition will be changing, either this season, or certainly for next season.

MLB Scoring Changes

49,141 просмотров • 2 месяцев назад

This looks like a regular IT server room. But it is actually the main avionics compartment of an Airbus A350, a rare view into what sits at the very front of the aircraft, directly beneath the cockpit floor. Inside are 22 purpose built computing modules made by Thales, each costing more than $100,000+ They host multiple aircraft systems, processing everything from flight controls and landing gear to hydraulics, fuel, electrical systems and flight warnings. All of them are connected through a dual redundants AFDX network, with 14 switches and 29 remote data concentrators distributed throughout the aircraft. Keeping this computing architecture running requires an estimated 50-60+ kW of electrical power. The electricity keeping all of this computing hardware alive is generated in real time from the aircraft's two engines. Each engine mechanically drives two generators through its accessory gearbox, giving the A350 four generators capable of producing up to 100 kVA each. That electricity then flows through the aircraft's power network, where transformers and rectifiers convert it into the different AC and 28 V DC supplies the avionics need. And if those generators fail, the aircraft has layers of backup power, including the APU and, in an extreme emergency, a ram air turbine that deploys automatically if all systems fail. The A350 has two independent avionics cooling circuits, heat extraction fans and backup airflow paths to keep the computers within their operating limits. So the next time you hear the word autopilot, remember what it really takes to make an Airbus A350 fly itself, An entire architecture of computers, networks, redundant power and cooling, hidden beneath the floor where no passenger ever sees it. Source, maintenancemode
0:14

This looks like a regular IT server room. But it is actually the main avionics compartment of an Airbus A350, a rare view into what sits at the very front of the aircraft, directly beneath the cockpit floor. Inside are 22 purpose built computing modules made by Thales, each costing more than $100,000+ They host multiple aircraft systems, processing everything from flight controls and landing gear to hydraulics, fuel, electrical systems and flight warnings. All of them are connected through a dual redundants AFDX network, with 14 switches and 29 remote data concentrators distributed throughout the aircraft. Keeping this computing architecture running requires an estimated 50-60+ kW of electrical power. The electricity keeping all of this computing hardware alive is generated in real time from the aircraft's two engines. Each engine mechanically drives two generators through its accessory gearbox, giving the A350 four generators capable of producing up to 100 kVA each. That electricity then flows through the aircraft's power network, where transformers and rectifiers convert it into the different AC and 28 V DC supplies the avionics need. And if those generators fail, the aircraft has layers of backup power, including the APU and, in an extreme emergency, a ram air turbine that deploys automatically if all systems fail. The A350 has two independent avionics cooling circuits, heat extraction fans and backup airflow paths to keep the computers within their operating limits. So the next time you hear the word autopilot, remember what it really takes to make an Airbus A350 fly itself, An entire architecture of computers, networks, redundant power and cooling, hidden beneath the floor where no passenger ever sees it. Source, maintenancemode

Ammanichanda

67,591 просмотров • 1 месяц назад

[the SANA UPDATES] 1/ We have updated the app to the latest version that supports Sana Card (the button will be enabled after we get the greenlight from our partner) - Android Google Play (live with standby mode button for Sana Card) - iOS (TestFlight with standby mode button for Sana Card) – (production is still in review by App Store) - Solana dApp Store (live with standby mode button for Sana Card) – Seeker | Solana Mobile 2/ We have established a partnership with M0 as our $SanaUSD stablecoin issuance partner. It will be minted on Solana and Sana Chain. 3/ We have started the Agentic Economy neobank designed for AI agents under (currently testing internally) 4/ We are exploring the use of $SANA as the gas token for any onchain transaction inside the Sana App with SVM Chain as RPC partner. We keep building with the dream from zero to billions.
0:16

[the SANA UPDATES] 1/ We have updated the app to the latest version that supports Sana Card (the button will be enabled after we get the greenlight from our partner) - Android Google Play (live with standby mode button for Sana Card) - iOS (TestFlight with standby mode button for Sana Card) – (production is still in review by App Store) - Solana dApp Store (live with standby mode button for Sana Card) – Seeker | Solana Mobile 2/ We have established a partnership with M0 as our $SanaUSD stablecoin issuance partner. It will be minted on Solana and Sana Chain. 3/ We have started the Agentic Economy neobank designed for AI agents under (currently testing internally) 4/ We are exploring the use of $SANA as the gas token for any onchain transaction inside the Sana App with SVM Chain as RPC partner. We keep building with the dream from zero to billions.

Sana Company

12,167 просмотров • 7 месяцев назад

Many $IREN investors are waiting for an announcement from the company, to remove any doubts around Sweetwater 2 being included in batch zero baseload. At OnlyFrans, we prefer to follow the development facts, and as you can see in the time-lapse from the past 3 weeks, the progress is undeniable. Matching the rendering, the top-view from the satellite shows that the bulk substation earthworks are showing the typical IREN proportions. Roughly 2/3 of the footprint for the 345kV network, and the 1/3 smaller footprint above for the 138kV network. Further to the left, near the top of the image, we can see that the first signs for the two 300MW Primary substations are taking shape. I expect civil works to start in Q4, and after the stormwater works at Sweetwater 1 are done, I expect the main focus of the work to be stormwater management, in parallel with building out the bulk, and primary substations. Needless to say, Sweetwater 2 is batch zero baseload. Sweetwater 2 is an early example of the market moving before the rulebook did. In March 2025, IREN committed roughly $31m to secure 600MW with AEP — ~$51.7k/MW. Nearly a year later, Texas settled on a $50k/MW financial-security benchmark (under CIAC) for large loads entering Batch Zero. This means $IREN and AEP (the interconnecting TDSP for SW2) were already operating with the kind of financial commitment Texas would later require to separate real projects from speculative load requests. In other words: IREN was positioning its projects as real/financially committed rather than speculative well before Batch Zero forced everyone to do it. Think about it, if anyone would be compliant to the batch zero baseload requirements, wouldn't it be the company that had completed CIAC (Contribution in Aid of Construction) a year before it became mandatory for everyone else? I see a site progressing as if it's approved, and a connection progress that was completed before it became common knowledge. And somehow there are people that doubt that IREN will add 600MW of power next year? Now if you are interested to find out what else there is in batch zero baseload from IREN, you know where to go. Long $IREN
0:17

Many $IREN investors are waiting for an announcement from the company, to remove any doubts around Sweetwater 2 being included in batch zero baseload. At OnlyFrans, we prefer to follow the development facts, and as you can see in the time-lapse from the past 3 weeks, the progress is undeniable. Matching the rendering, the top-view from the satellite shows that the bulk substation earthworks are showing the typical IREN proportions. Roughly 2/3 of the footprint for the 345kV network, and the 1/3 smaller footprint above for the 138kV network. Further to the left, near the top of the image, we can see that the first signs for the two 300MW Primary substations are taking shape. I expect civil works to start in Q4, and after the stormwater works at Sweetwater 1 are done, I expect the main focus of the work to be stormwater management, in parallel with building out the bulk, and primary substations. Needless to say, Sweetwater 2 is batch zero baseload. Sweetwater 2 is an early example of the market moving before the rulebook did. In March 2025, IREN committed roughly $31m to secure 600MW with AEP — ~$51.7k/MW. Nearly a year later, Texas settled on a $50k/MW financial-security benchmark (under CIAC) for large loads entering Batch Zero. This means $IREN and AEP (the interconnecting TDSP for SW2) were already operating with the kind of financial commitment Texas would later require to separate real projects from speculative load requests. In other words: IREN was positioning its projects as real/financially committed rather than speculative well before Batch Zero forced everyone to do it. Think about it, if anyone would be compliant to the batch zero baseload requirements, wouldn't it be the company that had completed CIAC (Contribution in Aid of Construction) a year before it became mandatory for everyone else? I see a site progressing as if it's approved, and a connection progress that was completed before it became common knowledge. And somehow there are people that doubt that IREN will add 600MW of power next year? Now if you are interested to find out what else there is in batch zero baseload from IREN, you know where to go. Long $IREN

Frans Bakker

104,309 просмотров • 25 дней назад

🚨🇨🇳U.S. IN PANIC: China's J-35 Stealth Fighter Now in 'Beast Mode' With Increased Firepower China's J-35 fifth-generation stealth fighter has been seen in a new configuration carrying four PL-15 long-range air-to-air missiles on external pylons under its wings. Combined with the six missiles it carries inside its internal weapons bays, the aircraft can now go into combat with up to ten air-to-air missiles in total. 🔸This setup is informally called "beast mode" — a term borrowed from the U.S. military's similar configuration for the F-35. The idea is straightforward: the aircraft trades some of its stealth capability for significantly more firepower. When weapons are carried externally, they increase the aircraft's radar signature, making it more visible to enemy systems. However, the PL-15 missile's long range means the J-35 can potentially engage enemy aircraft from a safe distance before that visibility becomes a serious problem. 🔸The J-35 entered service in 2025 in both Air Force and Navy variants. The naval version is designed to operate from Chinese supercarriers such as the Fujian. Both versions are considered among the most advanced fifth-generation fighters in the world today, alongside the J-20 and the American F-35 — all three of which are regarded as more sophisticated than the older F-22 or Russia's Su-57. 🔸Within China's own air fleet, the J-35 is expected to serve as a lighter and more affordable complement to the larger and more powerful J-20, which carries a bigger radar, heavier weapons load, and longer range. The J-20 is expected to remain the priority for large-scale procurement, while the J-35 fills a broader operational role at lower cost. Do you think the U.S. can really counter it? NewRulesGeopolitics❗️
0:19

🚨🇨🇳U.S. IN PANIC: China's J-35 Stealth Fighter Now in 'Beast Mode' With Increased Firepower China's J-35 fifth-generation stealth fighter has been seen in a new configuration carrying four PL-15 long-range air-to-air missiles on external pylons under its wings. Combined with the six missiles it carries inside its internal weapons bays, the aircraft can now go into combat with up to ten air-to-air missiles in total. 🔸This setup is informally called "beast mode" — a term borrowed from the U.S. military's similar configuration for the F-35. The idea is straightforward: the aircraft trades some of its stealth capability for significantly more firepower. When weapons are carried externally, they increase the aircraft's radar signature, making it more visible to enemy systems. However, the PL-15 missile's long range means the J-35 can potentially engage enemy aircraft from a safe distance before that visibility becomes a serious problem. 🔸The J-35 entered service in 2025 in both Air Force and Navy variants. The naval version is designed to operate from Chinese supercarriers such as the Fujian. Both versions are considered among the most advanced fifth-generation fighters in the world today, alongside the J-20 and the American F-35 — all three of which are regarded as more sophisticated than the older F-22 or Russia's Su-57. 🔸Within China's own air fleet, the J-35 is expected to serve as a lighter and more affordable complement to the larger and more powerful J-20, which carries a bigger radar, heavier weapons load, and longer range. The J-20 is expected to remain the priority for large-scale procurement, while the J-35 fills a broader operational role at lower cost. Do you think the U.S. can really counter it? NewRulesGeopolitics❗️

🇷🇺 STANISLAV KRAPIVNIK 🇷🇺

11,360 просмотров • 4 месяцев назад

I met with Speaker of the Folketing of Denmark Søren Gade. I thanked him for Denmark’s strong and consistent support for Ukraine. Denmark always helps, and we know that this support comes not only from the government, but also from the parliament and all the Danish people. I am grateful for the words of condolence over the lives lost in Russia’s inhumane strikes. This is undoubtedly an escalation, and it is especially important now that the focus on supporting Ukraine does not waver. Financial contributions to Ukraine’s defense production and direct defense assistance, first and foremost air defenses to protect against jet-powered drones and ballistic missiles, are important. There are also opportunities under the European SAFE instrument that we can pursue together with Denmark to strengthen our shared security. We discussed all of this today. Thank you for your readiness to help in all these areas.
0:13

I met with Speaker of the Folketing of Denmark Søren Gade. I thanked him for Denmark’s strong and consistent support for Ukraine. Denmark always helps, and we know that this support comes not only from the government, but also from the parliament and all the Danish people. I am grateful for the words of condolence over the lives lost in Russia’s inhumane strikes. This is undoubtedly an escalation, and it is especially important now that the focus on supporting Ukraine does not waver. Financial contributions to Ukraine’s defense production and direct defense assistance, first and foremost air defenses to protect against jet-powered drones and ballistic missiles, are important. There are also opportunities under the European SAFE instrument that we can pursue together with Denmark to strengthen our shared security. We discussed all of this today. Thank you for your readiness to help in all these areas.

Volodymyr Zelenskyy / Володимир Зеленський

249,007 просмотров • 1 день назад

Russia deploys new Ukraine drone killer to the frontlines Rostec’s High Precision Systems division has delivered a fresh batch of Pantsir-S combat vehicles and stationary Pantsir-SMD air-defense systems to Russia’s army. The hardware has cleared rigorous testing and passed military acceptance, the state corporation announced. The newly fielded systems are rated for standard surface-to-air missiles, hypersonic projectiles, and short-range interceptors, with launch racks configurable by mission, packing up to 48 rounds in total. On round-the-clock alert, the Pantsirs neutralize everything from drones to ballistic and cruise missiles, throwing a hard protective shield over troops and civilian assets alike. "We’ve run these machines for years," said a Sever Battlegroup air-defense commander with the call sign Volk, cited by Rostec. "We rushed them to position, spun them up, and they’re already live on combat duty." The latest Pantsir-SMD variant is purpose-built to repel massed strikes, including swarms of UAVs, and is fully validating its specs under battlefield conditions.
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Russia deploys new Ukraine drone killer to the frontlines Rostec’s High Precision Systems division has delivered a fresh batch of Pantsir-S combat vehicles and stationary Pantsir-SMD air-defense systems to Russia’s army. The hardware has cleared rigorous testing and passed military acceptance, the state corporation announced. The newly fielded systems are rated for standard surface-to-air missiles, hypersonic projectiles, and short-range interceptors, with launch racks configurable by mission, packing up to 48 rounds in total. On round-the-clock alert, the Pantsirs neutralize everything from drones to ballistic and cruise missiles, throwing a hard protective shield over troops and civilian assets alike. "We’ve run these machines for years," said a Sever Battlegroup air-defense commander with the call sign Volk, cited by Rostec. "We rushed them to position, spun them up, and they’re already live on combat duty." The latest Pantsir-SMD variant is purpose-built to repel massed strikes, including swarms of UAVs, and is fully validating its specs under battlefield conditions.

Sputnik

13,430 просмотров • 1 месяц назад