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🇨🇳CHINA SOLVED AI COOLING WITH SALTWATER - AMERICA'S STILL SWEATING IT OUT While U.S tech giants sweat over cooling bills, China’s literally sinking its data centers - because who needs AC when you’ve got the ocean? China’s underwater AI cluster is already live, churning out the power of 30,000...

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Mario Nawfal

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392,107 просмотров • 1 год назад •via X (Twitter)

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🚨🇨🇳China's Underwater Data Centers: Huge Win in the AI Power Race Deep under the South China Sea, China just took a major step toward AI supremacy. 🔸From Navy Tech to Commercial Compute China has launched its first commercial underwater data center off Hainan Island. Sitting 35 meters below the surface, the Hailanxin-built facility connects to shore via submarine cable and already serves AI and big data clients. Hainan Telecom and Atlas are online now. Tencent, Alibaba, and Pinduoduo will join later this year. Each massive 1,300-ton pod uses smart seawater cooling to achieve an impressive PUE of 1.07 — far more efficient than most land-based centers. 🔸Tech Roots That Matter Hailanxin wasn’t starting from scratch. The company once supplied intelligent systems to the Chinese Navy, with deep expertise in marine tech and seabed operations. In 2019, it acquired Canadian deep-sea firm OceanWorks and teamed up with China National Offshore Oil Corporation to build the pressure vessels. This blend of naval know-how and commercial ambition turned Microsoft’s earlier underwater experiment into a working, scalable reality — built for speed and cost advantage in the AI race. 🔸Why This Gives China a Real Edge By placing high-power servers directly in the ocean, China gains natural cooling without expensive infrastructure. The result: cheaper, denser, and more reliable compute capacity exactly when global AI demand is exploding. With plans for 100 pods delivering 50–100 megawatts, Beijing is positioning itself to export low-cost AI processing power worldwide. This underwater strategy strengthens China’s overall tech infrastructure and accelerates its push for leadership in artificial intelligence.
0:30

🚨🇨🇳China's Underwater Data Centers: Huge Win in the AI Power Race Deep under the South China Sea, China just took a major step toward AI supremacy. 🔸From Navy Tech to Commercial Compute China has launched its first commercial underwater data center off Hainan Island. Sitting 35 meters below the surface, the Hailanxin-built facility connects to shore via submarine cable and already serves AI and big data clients. Hainan Telecom and Atlas are online now. Tencent, Alibaba, and Pinduoduo will join later this year. Each massive 1,300-ton pod uses smart seawater cooling to achieve an impressive PUE of 1.07 — far more efficient than most land-based centers. 🔸Tech Roots That Matter Hailanxin wasn’t starting from scratch. The company once supplied intelligent systems to the Chinese Navy, with deep expertise in marine tech and seabed operations. In 2019, it acquired Canadian deep-sea firm OceanWorks and teamed up with China National Offshore Oil Corporation to build the pressure vessels. This blend of naval know-how and commercial ambition turned Microsoft’s earlier underwater experiment into a working, scalable reality — built for speed and cost advantage in the AI race. 🔸Why This Gives China a Real Edge By placing high-power servers directly in the ocean, China gains natural cooling without expensive infrastructure. The result: cheaper, denser, and more reliable compute capacity exactly when global AI demand is exploding. With plans for 100 pods delivering 50–100 megawatts, Beijing is positioning itself to export low-cost AI processing power worldwide. This underwater strategy strengthens China’s overall tech infrastructure and accelerates its push for leadership in artificial intelligence.

NewRulesGeopolitics

10,686 просмотров • 4 месяцев назад

🇨🇳 CHINA IS BUILDING AN AI ARMY IN THE DESERT WITH BANNED U.S. TECH China is planting 40 massive data centers in the Xinjiang desert, each packed with banned Nvidia chips. The aim isn’t subtle. They’re building a domestic AI force to match or surpass anything in the West. This isn’t theory, it’s hardware in motion, with government backing and national ambition baked in. Power, chips, and infrastructure are all being scaled at breakneck speed. While the U.S. cut off the supply, China’s response is to clone the machine and grow it bigger. The desert is now a launchpad. Source: *Walter Bloomberg
1:29

🇨🇳 CHINA IS BUILDING AN AI ARMY IN THE DESERT WITH BANNED U.S. TECH China is planting 40 massive data centers in the Xinjiang desert, each packed with banned Nvidia chips. The aim isn’t subtle. They’re building a domestic AI force to match or surpass anything in the West. This isn’t theory, it’s hardware in motion, with government backing and national ambition baked in. Power, chips, and infrastructure are all being scaled at breakneck speed. While the U.S. cut off the supply, China’s response is to clone the machine and grow it bigger. The desert is now a launchpad. Source: *Walter Bloomberg

Mario Nawfal

108,854 просмотров • 1 год назад

🇺🇸🇨🇳 KEVIN O’LEARY: CHINA IS BEATING THE U.S. IN THE AI RACE - U.S. IS TOO SLOW TO COMPETE WITH CHINA Kevin O’Leary just sounded the alarm: China is running laps around the U.S. in artificial intelligence, and it’s not because they’re smarter, it’s because they move faster. While America spends 7 years stuck in permits to build anything, China builds massive AI data centers in 11 months because the government just says “do it” and it happens. He says China knows AI = power. “They are kicking our high knees in advancing AI. They basically say, let’s put down a 1.4 gig facility right here. Build it in the next 11 months. We got to go through 7 years of permitting in North America. The U.S. is stuck dragging its feet while China stacks chips, data, and control of the future. They're going to use it for economic dominance and military dominance.” Source: Kevin O'Leary aka Mr. Wonderful One Nation with Brian Kilmeade Fox News
0:41

🇺🇸🇨🇳 KEVIN O’LEARY: CHINA IS BEATING THE U.S. IN THE AI RACE - U.S. IS TOO SLOW TO COMPETE WITH CHINA Kevin O’Leary just sounded the alarm: China is running laps around the U.S. in artificial intelligence, and it’s not because they’re smarter, it’s because they move faster. While America spends 7 years stuck in permits to build anything, China builds massive AI data centers in 11 months because the government just says “do it” and it happens. He says China knows AI = power. “They are kicking our high knees in advancing AI. They basically say, let’s put down a 1.4 gig facility right here. Build it in the next 11 months. We got to go through 7 years of permitting in North America. The U.S. is stuck dragging its feet while China stacks chips, data, and control of the future. They're going to use it for economic dominance and military dominance.” Source: Kevin O'Leary aka Mr. Wonderful One Nation with Brian Kilmeade Fox News

Mario Nawfal

119,661 просмотров • 7 месяцев назад

🇨🇳📱 China Isn’t Talking About the AI Future: It’s Already Living It While Western media is still debating what AI wearables might look like, China is already living in that future, in shops, offices, classrooms, metros and even family homes. A new report shows just how far ahead China actually is: - 70+ Chinese companies have launched smart-glasses since Meta’s 2023 release. - Devices from Inmo, Rokid, Xiaomi, Alibaba are everywhere, some selling overseas, others powering China’s domestic AI ecosystems. - Features like paying for items by glancing at a QR code already exist in China. - China’s AI hardware sector is booming while others are still imagining prototypes. Kai-Fu Lee sums it up perfectly: “China is the nation of manufacturing… the next phase of competition will move to devices.” Exactly. The U.S. builds models. China builds the whole world those models have to run in. Why China Is Leading the AI Device Race? 1️⃣ The world’s strongest hardware ecosystem No country on Earth can design, prototype, manufacture and scale AI devices as fast as China. The ability to build millions of units in months gives China a massive advantage the U.S. simply doesn’t have. 2️⃣ Seamless digital integration Smart glasses plug directly into China’s existing infrastructure: - QR payments - WeChat / Alipay ecosystems - AI-enhanced navigation - Real-time translation and AR overlays The West has apps. China has an entire society built for AI adoption. 3️⃣ Relentless experimentation China is testing everything from: - enterprise AI recorders (DingTalk A1) - Plaud-style pocket transcribers - education-focused AI translators - even the quirky “Native Language Star” muzzle device for English practice Other countries theorise about “the next big thing.” China builds 20 versions of it by lunchtime. 4️⃣ The feedback loop advantage More devices, more usage, more data, faster improvement. China’s scale accelerates AI development in ways the U.S. cannot match. 5️⃣ AI wearables are already normal here Smart eyewear, AI notetakers, live translators, all in daily use. This isn’t sci-fi. This is Tuesday in Beijing. The Global Reality: For China, the AI device race is not hypothetical, it’s happening at street level. For many outside China? They can only imagine this kind of tech and often don’t believe it when they hear about it. Anyone living in China already sees the future everywhere, in convenience stores, on commuters, in classrooms and in the hands of office workers. Meanwhile, most of the world is still arguing about “what AI devices might eventually look like.” The Hard Truth: If the next “iPhone moment” of the AI age is going to come from anywhere, the smart money is on China, a country where hardware innovation, manufacturing power and real-world adoption all move at a speed the West simply can’t match.
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🇨🇳📱 China Isn’t Talking About the AI Future: It’s Already Living It While Western media is still debating what AI wearables might look like, China is already living in that future, in shops, offices, classrooms, metros and even family homes. A new report shows just how far ahead China actually is: - 70+ Chinese companies have launched smart-glasses since Meta’s 2023 release. - Devices from Inmo, Rokid, Xiaomi, Alibaba are everywhere, some selling overseas, others powering China’s domestic AI ecosystems. - Features like paying for items by glancing at a QR code already exist in China. - China’s AI hardware sector is booming while others are still imagining prototypes. Kai-Fu Lee sums it up perfectly: “China is the nation of manufacturing… the next phase of competition will move to devices.” Exactly. The U.S. builds models. China builds the whole world those models have to run in. Why China Is Leading the AI Device Race? 1️⃣ The world’s strongest hardware ecosystem No country on Earth can design, prototype, manufacture and scale AI devices as fast as China. The ability to build millions of units in months gives China a massive advantage the U.S. simply doesn’t have. 2️⃣ Seamless digital integration Smart glasses plug directly into China’s existing infrastructure: - QR payments - WeChat / Alipay ecosystems - AI-enhanced navigation - Real-time translation and AR overlays The West has apps. China has an entire society built for AI adoption. 3️⃣ Relentless experimentation China is testing everything from: - enterprise AI recorders (DingTalk A1) - Plaud-style pocket transcribers - education-focused AI translators - even the quirky “Native Language Star” muzzle device for English practice Other countries theorise about “the next big thing.” China builds 20 versions of it by lunchtime. 4️⃣ The feedback loop advantage More devices, more usage, more data, faster improvement. China’s scale accelerates AI development in ways the U.S. cannot match. 5️⃣ AI wearables are already normal here Smart eyewear, AI notetakers, live translators, all in daily use. This isn’t sci-fi. This is Tuesday in Beijing. The Global Reality: For China, the AI device race is not hypothetical, it’s happening at street level. For many outside China? They can only imagine this kind of tech and often don’t believe it when they hear about it. Anyone living in China already sees the future everywhere, in convenience stores, on commuters, in classrooms and in the hands of office workers. Meanwhile, most of the world is still arguing about “what AI devices might eventually look like.” The Hard Truth: If the next “iPhone moment” of the AI age is going to come from anywhere, the smart money is on China, a country where hardware innovation, manufacturing power and real-world adoption all move at a speed the West simply can’t match.

James Wood 武杰士

17,430 просмотров • 8 месяцев назад

🇨🇳 Oh look, while the US is busy reviving coal like it’s 1925, China just hit over 100 million°C in its nuclear fusion project—“artificial sun,” anyone? But of course, fusion’s “too expensive” when your politics are tied to coal lobbyists and short-term stockholder gains. China’s playing the long game—energy for AI, cities, and the next century. The US? Still stuck in election cycles and fossil fuel nostalgia. You don’t get to mock progress when you can’t even power your future. Keep burning coal, we’ll power stars. ☀️🔬
1:27

🇨🇳 Oh look, while the US is busy reviving coal like it’s 1925, China just hit over 100 million°C in its nuclear fusion project—“artificial sun,” anyone? But of course, fusion’s “too expensive” when your politics are tied to coal lobbyists and short-term stockholder gains. China’s playing the long game—energy for AI, cities, and the next century. The US? Still stuck in election cycles and fossil fuel nostalgia. You don’t get to mock progress when you can’t even power your future. Keep burning coal, we’ll power stars. ☀️🔬

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

391,027 просмотров • 1 год назад

🚨 TEACHERS WERE TOLD TO TURN OFF THE LIGHTS FOR AI DATA CENTERS — AND THE STUDENTS WERE LEFT IN THE DARK This is the future they promised? Loudoun County, Virginia... one of the biggest data center hubs on Earth, welcomed 37 data centers. Then the AI boom arrived. The servers came online. The power demand exploded. Now schools are reportedly being told to cut energy use. Turn off lights. Unplug electronics. Conserve wherever possible. The facilities consuming enormous amounts of electricity keep expanding. The classrooms are being told to use less. Officials say it's about rising energy costs. But that's not the question many people are asking. The question is why the burden always seems to fall on everyone else. The data centers get built. The power demand rises. The electricity bills go up. And somehow the teachers and students are the ones being asked to make sacrifices. They said AI would transform society. Maybe it already is. Because every year it feels like the same story. The data centers need more power. The data centers need more water. The data centers need more land. The data centers keep growing. And ordinary people are told to adapt. First they built the data centers. Now the schools are turning off the lights. Who should get the electricity first: students or AI servers?
1:37

🚨 TEACHERS WERE TOLD TO TURN OFF THE LIGHTS FOR AI DATA CENTERS — AND THE STUDENTS WERE LEFT IN THE DARK This is the future they promised? Loudoun County, Virginia... one of the biggest data center hubs on Earth, welcomed 37 data centers. Then the AI boom arrived. The servers came online. The power demand exploded. Now schools are reportedly being told to cut energy use. Turn off lights. Unplug electronics. Conserve wherever possible. The facilities consuming enormous amounts of electricity keep expanding. The classrooms are being told to use less. Officials say it's about rising energy costs. But that's not the question many people are asking. The question is why the burden always seems to fall on everyone else. The data centers get built. The power demand rises. The electricity bills go up. And somehow the teachers and students are the ones being asked to make sacrifices. They said AI would transform society. Maybe it already is. Because every year it feels like the same story. The data centers need more power. The data centers need more water. The data centers need more land. The data centers keep growing. And ordinary people are told to adapt. First they built the data centers. Now the schools are turning off the lights. Who should get the electricity first: students or AI servers?

HustleBitch

23,460 просмотров • 1 месяц назад

The AI infrastructure race just went underwater. A Portland, Oregon startup called Panthalassa just raised $140 million in a Series B round led by Peter Thiel, the idea sounds wild until you understand the physics. Every AI data center on Earth has the same three problems, it needs massive amounts of electricity, it generates enormous heat that has to be cooled, and it requires land in places that are already running out of grid capacity. Panthalassa's answer is to eliminate all three constraints at once by taking the data center off the grid, off the land, and into the open ocean. And here's how it works, the company builds autonomous, self-propelled floating nodes made from plate steel, no anchor, no fuel, no cable to shore. As waves lift the platform, water is forced through an internal turbine, generating electricity continuously. That electricity runs AI inference chips onboard and the results go back to shore via low-Earth-orbit satellite. The surrounding ocean provides free supercooling, which one investor estimates could generate power at roughly two cents per kilowatt-hour. For context on why this matters, land based data centers spend up to 40% of their total energy budget just on cooling. Microsoft's Project Natick found that submerged servers had a failure rate of just 0.7% compared to 5.9% on land. The ocean doesn't just solve the cost problem but it solves the reliability problem too. Panthalassa's Ocean 3 pilot nodes are already under construction, with deployment in the northern Pacific targeted for August 2026 and commercial operations in 2027. The company has been building toward this for a decade with Ocean-1, Ocean-2, and Wavehopper prototypes already validated at sea, including a test in Puget Sound in 2024. The global underwater data center market was $3.2 billion in 2025 and is projected to reach $14.8 billion by 2034. China has already launched commercial-scale undersea data centers. The race to compute off the grid whether in space, underwater, or on the open ocean is no longer theoretical, it's being funded, permitted, and in Panthalassa's case, it's being built right now. The future is bright!
1:53

The AI infrastructure race just went underwater. A Portland, Oregon startup called Panthalassa just raised $140 million in a Series B round led by Peter Thiel, the idea sounds wild until you understand the physics. Every AI data center on Earth has the same three problems, it needs massive amounts of electricity, it generates enormous heat that has to be cooled, and it requires land in places that are already running out of grid capacity. Panthalassa's answer is to eliminate all three constraints at once by taking the data center off the grid, off the land, and into the open ocean. And here's how it works, the company builds autonomous, self-propelled floating nodes made from plate steel, no anchor, no fuel, no cable to shore. As waves lift the platform, water is forced through an internal turbine, generating electricity continuously. That electricity runs AI inference chips onboard and the results go back to shore via low-Earth-orbit satellite. The surrounding ocean provides free supercooling, which one investor estimates could generate power at roughly two cents per kilowatt-hour. For context on why this matters, land based data centers spend up to 40% of their total energy budget just on cooling. Microsoft's Project Natick found that submerged servers had a failure rate of just 0.7% compared to 5.9% on land. The ocean doesn't just solve the cost problem but it solves the reliability problem too. Panthalassa's Ocean 3 pilot nodes are already under construction, with deployment in the northern Pacific targeted for August 2026 and commercial operations in 2027. The company has been building toward this for a decade with Ocean-1, Ocean-2, and Wavehopper prototypes already validated at sea, including a test in Puget Sound in 2024. The global underwater data center market was $3.2 billion in 2025 and is projected to reach $14.8 billion by 2034. China has already launched commercial-scale undersea data centers. The race to compute off the grid whether in space, underwater, or on the open ocean is no longer theoretical, it's being funded, permitted, and in Panthalassa's case, it's being built right now. The future is bright!

Milk Road AI

133,232 просмотров • 3 месяцев назад

🇨🇳 China’s AI+ economy isn’t chasing AGI fantasies, it’s rebuilding the foundations of a real economy. Watch this WEF panel and one thing becomes obvious: Western commentators keep asking, “Has China caught up?” China is asking, “How do we deploy AI across an entire nation?” Two completely different civilizational contexts. China’s strategy isn’t AGI worship, it’s diffusion, cost reduction, and industrial embedding. AI isn’t a demo or a press release. It’s flowing into manufacturing, logistics, finance, autonomous driving, energy, into the places where real value is created. Core points from the panel: 1. AI Action Plan — China is not obsessed with AGI timelines, but with making AI cheap, scalable, and ubiquitous. 2. Adoption Targets — 70% AI device penetration by 2027, 90% by 2030. 3. Extreme Efficiency — top labs are producing competitive models with 1% of the resources used by Western labs. 4. Market-first ecosystem — 85% approval for autonomous driving; China is the world’s largest real-world sandbox for AI-native services like RoboTaxi. 5. Infrastructure advantage — energy strategy + green data centers = long-term compute stability. 6. Full industrial chain integration — AI is lowering costs in retail design, marketing, drug R&D, and more — turning AI into a return-on-investment engine, not a bubble. 7. Education reform — AI literacy is being embedded from elementary school; the challenge isn’t “AI taking jobs” but raising students who can think deeper than AI’s instant answers. 8. DeepSeek moment — the benchmark shock isn’t a one-off; China’s iteration speed is accelerating. Meanwhile, Western CEOs keep saying the quiet part out loud: “We can’t pause AI because China won’t.” Exactly. Because China’s AI isn’t built for headlines, it’s built for industry, productivity, and national-scale deployment. China is no longer playing the same game, it already moved to the next board. The West debates safety memos, China deploys AI to 1.4 billion people. This is what an AI+ economy actually looks like.
29:39

🇨🇳 China’s AI+ economy isn’t chasing AGI fantasies, it’s rebuilding the foundations of a real economy. Watch this WEF panel and one thing becomes obvious: Western commentators keep asking, “Has China caught up?” China is asking, “How do we deploy AI across an entire nation?” Two completely different civilizational contexts. China’s strategy isn’t AGI worship, it’s diffusion, cost reduction, and industrial embedding. AI isn’t a demo or a press release. It’s flowing into manufacturing, logistics, finance, autonomous driving, energy, into the places where real value is created. Core points from the panel: 1. AI Action Plan — China is not obsessed with AGI timelines, but with making AI cheap, scalable, and ubiquitous. 2. Adoption Targets — 70% AI device penetration by 2027, 90% by 2030. 3. Extreme Efficiency — top labs are producing competitive models with 1% of the resources used by Western labs. 4. Market-first ecosystem — 85% approval for autonomous driving; China is the world’s largest real-world sandbox for AI-native services like RoboTaxi. 5. Infrastructure advantage — energy strategy + green data centers = long-term compute stability. 6. Full industrial chain integration — AI is lowering costs in retail design, marketing, drug R&D, and more — turning AI into a return-on-investment engine, not a bubble. 7. Education reform — AI literacy is being embedded from elementary school; the challenge isn’t “AI taking jobs” but raising students who can think deeper than AI’s instant answers. 8. DeepSeek moment — the benchmark shock isn’t a one-off; China’s iteration speed is accelerating. Meanwhile, Western CEOs keep saying the quiet part out loud: “We can’t pause AI because China won’t.” Exactly. Because China’s AI isn’t built for headlines, it’s built for industry, productivity, and national-scale deployment. China is no longer playing the same game, it already moved to the next board. The West debates safety memos, China deploys AI to 1.4 billion people. This is what an AI+ economy actually looks like.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

13,847 просмотров • 6 месяцев назад

🚨 THEY TOLD YOU THE DATA CENTERS WERE FOR AI... BUT FOLLOW THE WATER Something about this feels VERY wrong. We're being told the biggest corporations on Earth are spending hundreds of billions of dollars building massive AI infrastructure because artificial intelligence needs more computing power. That's the official explanation. But while everyone is focused on AI, almost nobody is paying attention to what these facilities are consuming. Water. Enormous amounts of it. At the same time we're being warned about droughts, shrinking reservoirs, water restrictions, and future shortages. The explanation is simple: The servers get hot. The facilities need cooling. The cooling requires water. Case closed. Except some people think AI is the perfect cover story. While the public debates chatbots and robots, powerful institutions appear to be racing toward the one resource every human being needs to survive. Not oil. Not gold. Not land. Water. You can live without social media. You can live without artificial intelligence. You can live without most of the technology being sold to you today. You cannot live without water. And if water really is becoming the most valuable resource on Earth, then whoever controls it could control everything that depends on it. The official story is that this is an AI revolution. The conspiracy theory is that AI is simply the headline while a much larger resource grab unfolds in plain sight. What do they know about the future of water that the public doesn't?
4:58

🚨 THEY TOLD YOU THE DATA CENTERS WERE FOR AI... BUT FOLLOW THE WATER Something about this feels VERY wrong. We're being told the biggest corporations on Earth are spending hundreds of billions of dollars building massive AI infrastructure because artificial intelligence needs more computing power. That's the official explanation. But while everyone is focused on AI, almost nobody is paying attention to what these facilities are consuming. Water. Enormous amounts of it. At the same time we're being warned about droughts, shrinking reservoirs, water restrictions, and future shortages. The explanation is simple: The servers get hot. The facilities need cooling. The cooling requires water. Case closed. Except some people think AI is the perfect cover story. While the public debates chatbots and robots, powerful institutions appear to be racing toward the one resource every human being needs to survive. Not oil. Not gold. Not land. Water. You can live without social media. You can live without artificial intelligence. You can live without most of the technology being sold to you today. You cannot live without water. And if water really is becoming the most valuable resource on Earth, then whoever controls it could control everything that depends on it. The official story is that this is an AI revolution. The conspiracy theory is that AI is simply the headline while a much larger resource grab unfolds in plain sight. What do they know about the future of water that the public doesn't?

HustleBitch

259,888 просмотров • 1 месяц назад

🇨🇳 People abroad love to talk about “China’s rise,” but they have no idea that Zhuhai not even a first-tier city, already looks more futuristic than many so-called “global hubs”. This video makes it painfully clear: • Second-line city infrastructure? Zhuhai connects to Shenzhen in 30 minutes through tunnels Western cities can’t even plan, let alone build. • Low-altitude economy? They’re flying autonomous passenger drones while some countries are still debating electric buses. • Tech manufacturing? Gree builds entire smart-manufacturing ecosystems, and still exports strongly despite U.S. restrictions. • Regional integration? Hengqin–Macau cooperation is basically a blueprint for how to fix cities with land shortages, unemployment, and aging populations. And this is not Beijing, Shanghai, or Shenzhen. This is Zhuhai, a place many Westerners couldn’t even locate on a map. If China’s “second-tier” cities are operating at this level, what does that say about the actual pace of China’s modernization? Some people still imagine China in black-and-white postcards from 1979. Meanwhile, China’s urban future is already in color, and already built.
10:40

🇨🇳 People abroad love to talk about “China’s rise,” but they have no idea that Zhuhai not even a first-tier city, already looks more futuristic than many so-called “global hubs”. This video makes it painfully clear: • Second-line city infrastructure? Zhuhai connects to Shenzhen in 30 minutes through tunnels Western cities can’t even plan, let alone build. • Low-altitude economy? They’re flying autonomous passenger drones while some countries are still debating electric buses. • Tech manufacturing? Gree builds entire smart-manufacturing ecosystems, and still exports strongly despite U.S. restrictions. • Regional integration? Hengqin–Macau cooperation is basically a blueprint for how to fix cities with land shortages, unemployment, and aging populations. And this is not Beijing, Shanghai, or Shenzhen. This is Zhuhai, a place many Westerners couldn’t even locate on a map. If China’s “second-tier” cities are operating at this level, what does that say about the actual pace of China’s modernization? Some people still imagine China in black-and-white postcards from 1979. Meanwhile, China’s urban future is already in color, and already built.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

48,591 просмотров • 7 месяцев назад

Russian girls explain why they decided to come to China. Videos about China on TikTok and IG are doing more for tourism than any ad campaign ever could. 🇨🇳 No wonder why all the Sinophobes on this social media go ballistic over innocuous and apolitical content: DIY videos, drone shots of neon cities, or simple daily vlogs. Most of this is just leaked from Douyin and Red Note (Xiaohongshu); it wasn't even intended for a Western audience, let alone a non-Chinese audience. China’s modernization and sophistication have become a massive soft power instrument in and of themselves. The Sinophobic Westoids know it and they hate it. Their double standard is loud: neon lights and shiny skylines are “aesthetic” in Japan, but “propaganda” the moment they’re in China. That’s why they have to resort to the “Gansu’s remote village” trope every time they see something cool about China. They hate seeing the reality of China’s modernization. While some in the West remain stuck in this cycle of denial, the rest of the world is watching with growing fascination.
0:23

Russian girls explain why they decided to come to China. Videos about China on TikTok and IG are doing more for tourism than any ad campaign ever could. 🇨🇳 No wonder why all the Sinophobes on this social media go ballistic over innocuous and apolitical content: DIY videos, drone shots of neon cities, or simple daily vlogs. Most of this is just leaked from Douyin and Red Note (Xiaohongshu); it wasn't even intended for a Western audience, let alone a non-Chinese audience. China’s modernization and sophistication have become a massive soft power instrument in and of themselves. The Sinophobic Westoids know it and they hate it. Their double standard is loud: neon lights and shiny skylines are “aesthetic” in Japan, but “propaganda” the moment they’re in China. That’s why they have to resort to the “Gansu’s remote village” trope every time they see something cool about China. They hate seeing the reality of China’s modernization. While some in the West remain stuck in this cycle of denial, the rest of the world is watching with growing fascination.

Yin Sun 🇨🇳🇭🇰

62,812 просмотров • 7 месяцев назад

Aravind Srinivas just explained why China’s open-source AI may become more powerful than ever. And why Anthropic has lobbied very hard for export control. "the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that, because of that, they now get really good at the physical layer. One advantage they (China) have is that they can actually build data centers a lot faster. Power is not a problem. Permits are not a problem. People are not a problem. Labor is not a problem. Expertise is not a problem. And so, by forcing them to go out there and build all this, you are converting them into a far more potent competitor." --- From "20VC with Harry Stebbings" YouTube channel (Harry Stebbings ), link in comment
0:57

Aravind Srinivas just explained why China’s open-source AI may become more powerful than ever. And why Anthropic has lobbied very hard for export control. "the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that, because of that, they now get really good at the physical layer. One advantage they (China) have is that they can actually build data centers a lot faster. Power is not a problem. Permits are not a problem. People are not a problem. Labor is not a problem. Expertise is not a problem. And so, by forcing them to go out there and build all this, you are converting them into a far more potent competitor." --- From "20VC with Harry Stebbings" YouTube channel (Harry Stebbings ), link in comment

Rohan Paul

138,998 просмотров • 1 месяц назад

🇺🇸 BERNIE SANDERS SAYS AI DATA CENTERS COULD JACK UP BILLS AND WILL KILL YOUR JOB Bernie is pushing back on the rapid spread of massive AI data centers, arguing the damage is already showing up far from Silicon Valley. These facilities are not harmless buildings filled with computers. They consume extraordinary amounts of electricity and water, forcing local grids to stretch and utilities to pass higher costs down to households that never asked for them. Sanders says the AI boom is being sold as progress while the downsides land unevenly. Automation threatens jobs that once supported families, and the infrastructure needed to keep servers running often falls on local governments. Communities are left dealing with long term strain while tech companies capture the upside and move on. His answer is a pause. He wants new data center construction halted until clear rules exist that protect workers, limit environmental damage, and stop utility bills from quietly climbing. The goal is not to shut down innovation, but to slow it long enough to set boundaries. Source: Newsweek, Bernie Sanders
0:43

🇺🇸 BERNIE SANDERS SAYS AI DATA CENTERS COULD JACK UP BILLS AND WILL KILL YOUR JOB Bernie is pushing back on the rapid spread of massive AI data centers, arguing the damage is already showing up far from Silicon Valley. These facilities are not harmless buildings filled with computers. They consume extraordinary amounts of electricity and water, forcing local grids to stretch and utilities to pass higher costs down to households that never asked for them. Sanders says the AI boom is being sold as progress while the downsides land unevenly. Automation threatens jobs that once supported families, and the infrastructure needed to keep servers running often falls on local governments. Communities are left dealing with long term strain while tech companies capture the upside and move on. His answer is a pause. He wants new data center construction halted until clear rules exist that protect workers, limit environmental damage, and stop utility bills from quietly climbing. The goal is not to shut down innovation, but to slow it long enough to set boundaries. Source: Newsweek, Bernie Sanders

Mario Nawfal

14,275 просмотров • 8 месяцев назад

🚨Meet IRON: China’s Humanoid Robot. So Real People Thought It Was Human 🇨🇳🔥 Meet IRON, XPeng’s next-gen humanoid, unveiled at AI Day in Guangzhou. So lifelike that people swore it was a person in a suit. It wasn’t. That illusion? Brilliant marketing. It forced the world to pay attention. Here’s what makes IRON a game-changer 👇 • 82 degrees of freedom, synthetic muscle system and bionic skin so realistic it moves like flesh. • Runs on XPeng’s in-house AI chips with over 2,000 TOPS computing power. • Solid-state battery, self-balancing gait and a neural control system modelled on the human spine. • Aiming for mass production in 2026, not a fantasy, a roadmap. While others like Tesla’s Optimus still struggle to pick up a box, China’s IRON walks, gestures and interacts naturally, powered by real-time embodied AI. Western media called it “too real,” “creepy,” even “fake.” But in reality, it’s China’s physical AI frontier, bridging robotics, neural networks and mobility tech in a way the West hasn’t caught up to yet. China is not just in the AI race anymore. It’s building the finish line. 🏁🇨🇳
0:40

🚨Meet IRON: China’s Humanoid Robot. So Real People Thought It Was Human 🇨🇳🔥 Meet IRON, XPeng’s next-gen humanoid, unveiled at AI Day in Guangzhou. So lifelike that people swore it was a person in a suit. It wasn’t. That illusion? Brilliant marketing. It forced the world to pay attention. Here’s what makes IRON a game-changer 👇 • 82 degrees of freedom, synthetic muscle system and bionic skin so realistic it moves like flesh. • Runs on XPeng’s in-house AI chips with over 2,000 TOPS computing power. • Solid-state battery, self-balancing gait and a neural control system modelled on the human spine. • Aiming for mass production in 2026, not a fantasy, a roadmap. While others like Tesla’s Optimus still struggle to pick up a box, China’s IRON walks, gestures and interacts naturally, powered by real-time embodied AI. Western media called it “too real,” “creepy,” even “fake.” But in reality, it’s China’s physical AI frontier, bridging robotics, neural networks and mobility tech in a way the West hasn’t caught up to yet. China is not just in the AI race anymore. It’s building the finish line. 🏁🇨🇳

James Wood 武杰士

103,111 просмотров • 9 месяцев назад

🇺🇸🇨🇳🇮🇷 U.S. Navy blockade on Iranian ports is holding strong, and this hits China the hardest No Iranian oil is flowing out for 48+ hours... and Beijing was sucking up ~90-98% of Iran's crude (over 1.3M barrels/day, ~13% of China's seaborne imports) at steep discounts. Now China’s scrambling: higher global oil prices, disrupted cheap supply, and a direct squeeze on their energy security while they preach "fragile ceasefire." Beijing calls it “dangerous,” but this is leverage: the same regime propping up Iran with shadow fleet tankers and yuan deals is feeling the pain in its own economy. Short-term headache for China’s factories and growth. Long-term reminder that over-reliance on risky partners and shadow trade has limits when the U.S. Navy shows up. Source: Reuters, NY Times
1:38

🇺🇸🇨🇳🇮🇷 U.S. Navy blockade on Iranian ports is holding strong, and this hits China the hardest No Iranian oil is flowing out for 48+ hours... and Beijing was sucking up ~90-98% of Iran's crude (over 1.3M barrels/day, ~13% of China's seaborne imports) at steep discounts. Now China’s scrambling: higher global oil prices, disrupted cheap supply, and a direct squeeze on their energy security while they preach "fragile ceasefire." Beijing calls it “dangerous,” but this is leverage: the same regime propping up Iran with shadow fleet tankers and yuan deals is feeling the pain in its own economy. Short-term headache for China’s factories and growth. Long-term reminder that over-reliance on risky partners and shadow trade has limits when the U.S. Navy shows up. Source: Reuters, NY Times

Mario Nawfal

59,119 просмотров • 4 месяцев назад

"What are people worried about with AI? They’re worried about U.S. vs China. You look at China’s grid — in 2010, the US & China were neck x neck. That’s where the two lines cross on the chart. Since then, China’s 2x'd its grid while we’ve stayed flat. China has the US in a chokehold, and it’s going to be 3x by the 2030s if we don’t do something about it. I think it just highlights the urgency & the importance. No matter what you’re worried about, energy production has been a big mistake that we haven’t expanded over the last few decades." "Energy production & consumption is directly linked to GDP. It drives things like AI." "By 2030, it’s predicted to consume the equivalent of all the power that’s on the US grid today." Scott Nolan (Scott Nolan), CEO of General Matter
0:50

"What are people worried about with AI? They’re worried about U.S. vs China. You look at China’s grid — in 2010, the US & China were neck x neck. That’s where the two lines cross on the chart. Since then, China’s 2x'd its grid while we’ve stayed flat. China has the US in a chokehold, and it’s going to be 3x by the 2030s if we don’t do something about it. I think it just highlights the urgency & the importance. No matter what you’re worried about, energy production has been a big mistake that we haven’t expanded over the last few decades." "Energy production & consumption is directly linked to GDP. It drives things like AI." "By 2030, it’s predicted to consume the equivalent of all the power that’s on the US grid today." Scott Nolan (Scott Nolan), CEO of General Matter

Molly O’Shea

14,606 просмотров • 3 месяцев назад

China is planning to spend around 2 trillion yuan ($295 billion) over the next five years to build data centers across the country At least 80% of all AI chips must come from domestic suppliers, primarily Huawei. Nvidia and AMD are locked out by design. Nvidia once held a 95% market share in China's AI market. Now? Zero. America did not lose China’s AI chip market because China “closed its doors,” but because America chose to weaponize chips, sanctions, export controls, entity lists, national security hysteria, and technological apartheid against its own largest customer. Washington took the world’s largest chip consumption market — a market that could have funded American semiconductor dominance for another generation — and taught it the most important lesson: Never let your future depend on a supplier that can be turned off by one paranoid empire. So China did what any serious civilization-state would do. It localized. It substituted. It built its own stack. It turned a customer relationship into a sovereignty project. And the same people who tried to choke Huawei are watching Huawei become the backbone of China’s AI infrastructure. This is a textbook own goal. America thought it was denying​ China the future. In reality, it compelled​ China to architect​ the future beyond​ America.
1:02

China is planning to spend around 2 trillion yuan ($295 billion) over the next five years to build data centers across the country At least 80% of all AI chips must come from domestic suppliers, primarily Huawei. Nvidia and AMD are locked out by design. Nvidia once held a 95% market share in China's AI market. Now? Zero. America did not lose China’s AI chip market because China “closed its doors,” but because America chose to weaponize chips, sanctions, export controls, entity lists, national security hysteria, and technological apartheid against its own largest customer. Washington took the world’s largest chip consumption market — a market that could have funded American semiconductor dominance for another generation — and taught it the most important lesson: Never let your future depend on a supplier that can be turned off by one paranoid empire. So China did what any serious civilization-state would do. It localized. It substituted. It built its own stack. It turned a customer relationship into a sovereignty project. And the same people who tried to choke Huawei are watching Huawei become the backbone of China’s AI infrastructure. This is a textbook own goal. America thought it was denying​ China the future. In reality, it compelled​ China to architect​ the future beyond​ America.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

36,839 просмотров • 2 месяцев назад

The shift from Copilot to Autopilot is happening now. This is the Agentic Frontier, and while 82% of leaders are investing in it, most are not ready. Why? Because they're stuck in Phase 1 (AI Assistants) while the winners are already building for Phase 3 (Human-Led, Agent-Operated) operations. The gap between pilot and production is where most AI initiatives die. It's not a tech problem. It's a culture, governance, and data problem. But it's possible to cross this chasm. Enjoyed attending Microsoft Ignite with the EY team this past week. I learn about their "Client Zero" journey, 400,000+ people were enabled with operational AI tools. How? They didn't just deploy AI—they became AI-first. Here's the 3-step action plan to cross the frontier: 1️⃣ Mindset Shift: From prompting AI → delegating outcomes to AI. 2️⃣ Laser Focus: Target one painful, high-volume, low-creativity process to prove ROI and build momentum. 3️⃣ Build the Foundation: Create an AI-ready data estate and robust governance. You can't build a skyscraper on a swamp. Start small. Scale fast. I learn one think during my San Francisco visit. It is no longer the question of whether autonomous agents will reshape your industry, but when—and whether you'll lead or follow. Learn how >
2:53

The shift from Copilot to Autopilot is happening now. This is the Agentic Frontier, and while 82% of leaders are investing in it, most are not ready. Why? Because they're stuck in Phase 1 (AI Assistants) while the winners are already building for Phase 3 (Human-Led, Agent-Operated) operations. The gap between pilot and production is where most AI initiatives die. It's not a tech problem. It's a culture, governance, and data problem. But it's possible to cross this chasm. Enjoyed attending Microsoft Ignite with the EY team this past week. I learn about their "Client Zero" journey, 400,000+ people were enabled with operational AI tools. How? They didn't just deploy AI—they became AI-first. Here's the 3-step action plan to cross the frontier: 1️⃣ Mindset Shift: From prompting AI → delegating outcomes to AI. 2️⃣ Laser Focus: Target one painful, high-volume, low-creativity process to prove ROI and build momentum. 3️⃣ Build the Foundation: Create an AI-ready data estate and robust governance. You can't build a skyscraper on a swamp. Start small. Scale fast. I learn one think during my San Francisco visit. It is no longer the question of whether autonomous agents will reshape your industry, but when—and whether you'll lead or follow. Learn how >

Sabine VanderLinden

236,535 просмотров • 8 месяцев назад