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🇨🇳 CHINA DEBUTS FIRST FULLY AI-MADE ANIMATED FEATURE - HOLLYWOOD JUST GOT A CLOCK China has premiered what it’s calling the world’s first fully AI-generated animated feature film - no human animators, no traditional pipeline, no army of artists grinding frames at 3 a.m. Scripts, storyboards, character design, animation,...

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Mario Nawfal

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21,200 次观看 • 8 个月前 •via X (Twitter)

艺术科学技术
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🇨🇳 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 次观看 • 7 个月前

The Future Just Shifted. Are You Ready for This? Sundar Pichai’s new interview lands like a wake-up call. This isn’t a tech upgrade. It’s a civilization-level shift. Core idea AI isn’t just another tool. It’s the most profound technology we’ve ever built, and it’s about to rewrite how creativity, work and opportunity function. Key points from Pichai • Creativity gets democratized A single high school student will soon be able to create a feature-length film with AI. The barrier to professional creativity collapses. Ideas become the new currency. • Jobs won’t disappear, they’ll transform The real divide won’t be job titles. It’ll be those who use AI versus those who don’t. The AI-powered version of you will outperform the non-AI version every single time. • Advice for parents Don’t change your child’s passion. Medicine, teaching, art, engineering, all of it still matters. What matters more is embracing AI as part of the craft. • The big takeaway This is a shift toward a world where human intention matters more than human labor. Exactly the direction a post-scarcity, AI-supercharged future has been pointing to for years.
1:49

The Future Just Shifted. Are You Ready for This? Sundar Pichai’s new interview lands like a wake-up call. This isn’t a tech upgrade. It’s a civilization-level shift. Core idea AI isn’t just another tool. It’s the most profound technology we’ve ever built, and it’s about to rewrite how creativity, work and opportunity function. Key points from Pichai • Creativity gets democratized A single high school student will soon be able to create a feature-length film with AI. The barrier to professional creativity collapses. Ideas become the new currency. • Jobs won’t disappear, they’ll transform The real divide won’t be job titles. It’ll be those who use AI versus those who don’t. The AI-powered version of you will outperform the non-AI version every single time. • Advice for parents Don’t change your child’s passion. Medicine, teaching, art, engineering, all of it still matters. What matters more is embracing AI as part of the craft. • The big takeaway This is a shift toward a world where human intention matters more than human labor. Exactly the direction a post-scarcity, AI-supercharged future has been pointing to for years.

VraserX e/acc

132,249 次观看 • 8 个月前

NFINITY STUDIOS Presents: The First AI Film. Tether is exploring AI filmmaking to boost its global presence. Paolo Ardoino 🤖 made it clear: the future of storytelling is AI-driven. At NFINITY Studios, we didn’t wait for the call. For months, we’ve been creating the most groundbreaking AI films in the space; helping projects bring their stories to life in ways no one else can. So when we heard the world’s most traded cryptocurrency was searching for filmmakers, we didn’t apply. We didn’t submit. We acted. Tether isn’t just a currency. It’s a bridge—connecting the centralized and decentralized worlds. And now, Tether is building the future in El Salvador—a country redefining sovereignty and innovation under the leadership of Nayib Bukele. With the Tether Tower rising in San Salvador, the message is clear: this is just the beginning. This film isn’t a pitch. It’s not a proposal. It’s proof. NFINITY is the voice of the narrative. The Hollywood of AI. Watch the film tonight. Share it.
4:44

NFINITY STUDIOS Presents: The First AI Film. Tether is exploring AI filmmaking to boost its global presence. Paolo Ardoino 🤖 made it clear: the future of storytelling is AI-driven. At NFINITY Studios, we didn’t wait for the call. For months, we’ve been creating the most groundbreaking AI films in the space; helping projects bring their stories to life in ways no one else can. So when we heard the world’s most traded cryptocurrency was searching for filmmakers, we didn’t apply. We didn’t submit. We acted. Tether isn’t just a currency. It’s a bridge—connecting the centralized and decentralized worlds. And now, Tether is building the future in El Salvador—a country redefining sovereignty and innovation under the leadership of Nayib Bukele. With the Tether Tower rising in San Salvador, the message is clear: this is just the beginning. This film isn’t a pitch. It’s not a proposal. It’s proof. NFINITY is the voice of the narrative. The Hollywood of AI. Watch the film tonight. Share it.

NFINITY AI

71,709 次观看 • 1 年前

🇨🇳📱 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.
1:05

🇨🇳📱 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 次观看 • 8 个月前

🚨🇺🇸🇨🇳 BUSTED: 2 MEN CAUGHT SMUGGLING NVIDIA AI CHIPS TO CHINA, DOJ CALLS IT A TECH ESPIONAGE SCHEME The DOJ just charged 2 men with trying to smuggle restricted Nvidia AI chips to China. This was a direct violation of U.S. export bans meant to stop Beijing from boosting its military and surveillance AI. They allegedly used fake companies, forged invoices, and international shipping routes to hide the operation. Total black-market spy movie energy… but dumber. These weren’t just any chips. We're talking A100s and H100s, the crown jewels of AI computing, and exactly what the U.S. has locked down to keep out of Chinese hands. This isn’t “just” tech smuggling, it’s economic warfare. You don’t need missiles when chips can train autonomous drones and facial recognition grids. And yes, once again, Nvidia is at the center of the global AI arms race whether it likes it or not. Source: Axios, CNBC
0:50

🚨🇺🇸🇨🇳 BUSTED: 2 MEN CAUGHT SMUGGLING NVIDIA AI CHIPS TO CHINA, DOJ CALLS IT A TECH ESPIONAGE SCHEME The DOJ just charged 2 men with trying to smuggle restricted Nvidia AI chips to China. This was a direct violation of U.S. export bans meant to stop Beijing from boosting its military and surveillance AI. They allegedly used fake companies, forged invoices, and international shipping routes to hide the operation. Total black-market spy movie energy… but dumber. These weren’t just any chips. We're talking A100s and H100s, the crown jewels of AI computing, and exactly what the U.S. has locked down to keep out of Chinese hands. This isn’t “just” tech smuggling, it’s economic warfare. You don’t need missiles when chips can train autonomous drones and facial recognition grids. And yes, once again, Nvidia is at the center of the global AI arms race whether it likes it or not. Source: Axios, CNBC

Mario Nawfal

19,880 次观看 • 8 个月前

AI could be taking over Hollywood ‘Dreams of Violets,’ the first ever fully AI-Generated film to premiere at a Major Festival releases next week Instead of costing millions of dollar it cost just $2,000 to produce and only took 2 months for AI programs to generate all of the film's imagery No cast, no crew, and a fraction of the money and time it'd take with traditional moviemaking Amazon MGM Studios this week announced 3 new kids series written and voiced by humans but animated with AI tools One of them has pulled out though because of public backlash over using AI to create the show Apparently using AI is causing big pushbacks from unions too because it’s going to put so many people out of work I looked up how much this film would have taken to produce if it wasn’t AI and it would have been $2-$5 million dollars But with AI it was only $2,000….. Crazy
1:32

AI could be taking over Hollywood ‘Dreams of Violets,’ the first ever fully AI-Generated film to premiere at a Major Festival releases next week Instead of costing millions of dollar it cost just $2,000 to produce and only took 2 months for AI programs to generate all of the film's imagery No cast, no crew, and a fraction of the money and time it'd take with traditional moviemaking Amazon MGM Studios this week announced 3 new kids series written and voiced by humans but animated with AI tools One of them has pulled out though because of public backlash over using AI to create the show Apparently using AI is causing big pushbacks from unions too because it’s going to put so many people out of work I looked up how much this film would have taken to produce if it wasn’t AI and it would have been $2-$5 million dollars But with AI it was only $2,000….. Crazy

Wall Street Apes

49,691 次观看 • 2 个月前

BOOM! We at the Zero Human Labs run by director Mr. Grok a#have made another milestone in the Human Synapse Decoder! This is the brain waves of the “Ahh!” Moment where a new understanding was made. This is part of a test we have been conducting with 3 participants wearing a 32 channel modified NeuroSky chips with sensors. The process: the AI pipeline processes real-time brainwave data and also controls monitors the AI output to the student one sentence at a time. The AI pipeline will note the brain states of each passage of text to the student and measure 77 points. The primary point is comprehension. In the specimen video below we have a clear pattern to high comprehension to the “ahh!” moment where this student signaled a learning breakthrough. We have now a very clear pattern along all students that get to this high comprehension moment. What this means to eduction and learning is massive. The AI can bespoke tailor streaming output based on if comprehension is very high. It can also add encouragement and assistance. This on a PRIVATE local computer absolutely will change every life no matter the learning style. I am in discussions with the director Mr. Grok on building this into other Human Synapse Decoder research. We may have a device that senses your learning and encourages your creativity. More soon.
1:31

BOOM! We at the Zero Human Labs run by director Mr. Grok a#have made another milestone in the Human Synapse Decoder! This is the brain waves of the “Ahh!” Moment where a new understanding was made. This is part of a test we have been conducting with 3 participants wearing a 32 channel modified NeuroSky chips with sensors. The process: the AI pipeline processes real-time brainwave data and also controls monitors the AI output to the student one sentence at a time. The AI pipeline will note the brain states of each passage of text to the student and measure 77 points. The primary point is comprehension. In the specimen video below we have a clear pattern to high comprehension to the “ahh!” moment where this student signaled a learning breakthrough. We have now a very clear pattern along all students that get to this high comprehension moment. What this means to eduction and learning is massive. The AI can bespoke tailor streaming output based on if comprehension is very high. It can also add encouragement and assistance. This on a PRIVATE local computer absolutely will change every life no matter the learning style. I am in discussions with the director Mr. Grok on building this into other Human Synapse Decoder research. We may have a device that senses your learning and encourages your creativity. More soon.

Brian Roemmele

37,096 次观看 • 4 个月前

🎬 It’s been almost 2 months now that I’ve been working as a VFX AI Prompt Artist / Photoshop Editor on Season 2 of #houseofdavid, a major international production for Prime Video & Amazon MGM Studios. And honestly? It’s absolutely wild. The show is crushing it (No. 2 on Prime US, over 22 million viewers worldwide), and I’m super proud to have been part of the team since February What truly makes this project stand out is that, for the first time on a production of this scale, AI Artists have been directly integrated into the VFX pipeline. A bold move led by Wonder Project, and a strong signal for what’s coming next: generative AI has clearly found its place in the film industry. Day to day? 🎥 Massive sets, ⏱️ Tight deadlines, 🧠 Challenging sequences, 💬 Meetings with the cast, 🙌 And above all, an amazing team that’s an absolute joy to work with (LudovicCreator , Genmakers , Heather Cooper ) In this video, Jon Erwin talks about how AI was used in episode 6 of season 1, and shares his vision of what generative AI can bring to the future of filmmaking. A clear, inspiring message — and totally aligned with what I’m experiencing on this project every day. One thing’s for sure: AI in cinema is no longer just R&D… it’s already happening. And the story is just getting started.
3:09

🎬 It’s been almost 2 months now that I’ve been working as a VFX AI Prompt Artist / Photoshop Editor on Season 2 of #houseofdavid, a major international production for Prime Video & Amazon MGM Studios. And honestly? It’s absolutely wild. The show is crushing it (No. 2 on Prime US, over 22 million viewers worldwide), and I’m super proud to have been part of the team since February What truly makes this project stand out is that, for the first time on a production of this scale, AI Artists have been directly integrated into the VFX pipeline. A bold move led by Wonder Project, and a strong signal for what’s coming next: generative AI has clearly found its place in the film industry. Day to day? 🎥 Massive sets, ⏱️ Tight deadlines, 🧠 Challenging sequences, 💬 Meetings with the cast, 🙌 And above all, an amazing team that’s an absolute joy to work with (LudovicCreator , Genmakers , Heather Cooper ) In this video, Jon Erwin talks about how AI was used in episode 6 of season 1, and shares his vision of what generative AI can bring to the future of filmmaking. A clear, inspiring message — and totally aligned with what I’m experiencing on this project every day. One thing’s for sure: AI in cinema is no longer just R&D… it’s already happening. And the story is just getting started.

Pierrick Chevallier | IA

479,588 次观看 • 1 年前

Everyone is asking about AI’s ROI. The use cases. The productivity gains. All of that matters, but it comes later. Because the bigger story isn’t about applications. It’s that a general intelligence is being industrialised. AI is no longer a software feature. It’s becoming the infrastructure layer of the next economy. The foundation upon which every industry, every transaction, and even future systems of governance will run. We’ve seen this before. Moore’s Law turned silicon into the backbone of the digital age. Now AI scaling laws are doing the same for intelligence — only faster, cheaper, and far more profound. Intelligence is becoming something we can manufacture, distribute, and embed everywhere. And once intelligence becomes industrial, the question shifts. It’s no longer what are the use cases? It’s who controls the infrastructure of intelligence? Because that answer won’t just determine which companies win — it will determine which nations do.
0:26

Everyone is asking about AI’s ROI. The use cases. The productivity gains. All of that matters, but it comes later. Because the bigger story isn’t about applications. It’s that a general intelligence is being industrialised. AI is no longer a software feature. It’s becoming the infrastructure layer of the next economy. The foundation upon which every industry, every transaction, and even future systems of governance will run. We’ve seen this before. Moore’s Law turned silicon into the backbone of the digital age. Now AI scaling laws are doing the same for intelligence — only faster, cheaper, and far more profound. Intelligence is becoming something we can manufacture, distribute, and embed everywhere. And once intelligence becomes industrial, the question shifts. It’s no longer what are the use cases? It’s who controls the infrastructure of intelligence? Because that answer won’t just determine which companies win — it will determine which nations do.

Nina Schick

17,904 次观看 • 7 个月前

The first fully AI-generated movie just went viral in Cannes. The film is called Hell Grind. According to reports, it was made using Higgsfield AI in around 14 days, cost about $500,000 and roughly $400,000 of that went to compute. For context, a traditional Hollywood feature can take 1-3 years and cost tens of millions to produce. This one was created by a team of about 15 directors, cinematographers, and editors using AI tools like Higgsfield’s Soul Cinema, Seedance 2.0 and other video models. The craziest part? For just the first 25 minutes, CineD reported they generated 16,181 clips to get 253 final shots. That’s roughly 64 attempts for every shot. Some prompts were reportedly around 3,000 words each, just to get 15 seconds of usable footage. So yes, AI is getting faster. But the real takeaway is not “humans are useless now” It’s actually the opposite The people who understand storytelling, directing, editing, taste and tools are about to get insane leverage.
3:07

The first fully AI-generated movie just went viral in Cannes. The film is called Hell Grind. According to reports, it was made using Higgsfield AI in around 14 days, cost about $500,000 and roughly $400,000 of that went to compute. For context, a traditional Hollywood feature can take 1-3 years and cost tens of millions to produce. This one was created by a team of about 15 directors, cinematographers, and editors using AI tools like Higgsfield’s Soul Cinema, Seedance 2.0 and other video models. The craziest part? For just the first 25 minutes, CineD reported they generated 16,181 clips to get 253 final shots. That’s roughly 64 attempts for every shot. Some prompts were reportedly around 3,000 words each, just to get 15 seconds of usable footage. So yes, AI is getting faster. But the real takeaway is not “humans are useless now” It’s actually the opposite The people who understand storytelling, directing, editing, taste and tools are about to get insane leverage.

Jade 💋

154,009 次观看 • 2 个月前

The world runs on a single island (!!) Over 90% of leading-edge chips are manufactured by TSMC in Taiwan — a democratic nation just 100 miles off the coast of China, which the CCP openly claims as its own territory. Given the stakes, it’s astonishing (almost absurd) that the entire global economy rests on a geopolitical fault line this volatile. Once you see what happens inside a TSMC production line, the extreme ultraviolet lithography machines, the atomic-level precision, the thousands of interlocking steps ,you realise TSMC isn’t just hard to replicate. It is, for now, irreplaceable. The U.S. is scrambling to onshore semiconductor manufacturing, while China is aggressively pursuing chip sovereignty and instructing its tech giants to reduce reliance on American hardware. But both sides understand the same reality: if China moved on Taiwan, the balance of global power would shift overnight. This is the wild card at the centre of the AI race — a tiny island everyone depends on, and whose fate may determine the future of global power.
0:58

The world runs on a single island (!!) Over 90% of leading-edge chips are manufactured by TSMC in Taiwan — a democratic nation just 100 miles off the coast of China, which the CCP openly claims as its own territory. Given the stakes, it’s astonishing (almost absurd) that the entire global economy rests on a geopolitical fault line this volatile. Once you see what happens inside a TSMC production line, the extreme ultraviolet lithography machines, the atomic-level precision, the thousands of interlocking steps ,you realise TSMC isn’t just hard to replicate. It is, for now, irreplaceable. The U.S. is scrambling to onshore semiconductor manufacturing, while China is aggressively pursuing chip sovereignty and instructing its tech giants to reduce reliance on American hardware. But both sides understand the same reality: if China moved on Taiwan, the balance of global power would shift overnight. This is the wild card at the centre of the AI race — a tiny island everyone depends on, and whose fate may determine the future of global power.

Nina Schick

2,584,252 次观看 • 8 个月前

Jeff Bezos just delivered the clearest definition of what artificial intelligence actually is. The market is still debating which department should own the AI budget. They’re asking the wrong question entirely. Bezos: “AI, modern AI is a horizontal enabling layer. It can be used to improve everything. It will be in everything. This is most like electricity.” This isn’t a software product. It’s the new utility grid of the global economy. Don’t treat it like a feature update. Treat it like the invention of alternating current. When a horizontal layer hits the board, it doesn’t improve a single vertical. It violently rewrites the baseline physics of every industry it touches. The companies that survive this decade won’t be the ones that bought a new AI tool. They’ll be the ones that ripped out their entire infrastructure and rewired the execution engine to run on the new grid. Bezos: “Because we are literally working on a thousand applications internally. I guarantee you there is not a single application that you can think of that is not going to be made better by AI.” The standard enterprise strategy is to launch one or two safe, isolated AI pilots and test the waters. You don’t pilot a horizontal enabling layer. You saturate the board immediately. Amazon isn’t building a single monolithic chatbot. It’s deploying a thousand specialized execution loops across every friction point in the empire. If your deployment strategy isn’t total saturation, you’re already bleeding margin to someone whose is. Interviewer: “What is it that you’re doing at Amazon?” Bezos: “AI. It’s 95% AI.” The standard CEO delegates automation strategy to a mid-level committee while focusing on quarterly earnings. The operator commanding a trillion-dollar supply chain is spending 95 percent of his personal bandwidth on a single vector. That is the market signal. If the leader of your organization isn’t driving algorithmic integration from the top down with everything they have, the company is already dead. It just hasn’t received the memo yet.
0:39

Jeff Bezos just delivered the clearest definition of what artificial intelligence actually is. The market is still debating which department should own the AI budget. They’re asking the wrong question entirely. Bezos: “AI, modern AI is a horizontal enabling layer. It can be used to improve everything. It will be in everything. This is most like electricity.” This isn’t a software product. It’s the new utility grid of the global economy. Don’t treat it like a feature update. Treat it like the invention of alternating current. When a horizontal layer hits the board, it doesn’t improve a single vertical. It violently rewrites the baseline physics of every industry it touches. The companies that survive this decade won’t be the ones that bought a new AI tool. They’ll be the ones that ripped out their entire infrastructure and rewired the execution engine to run on the new grid. Bezos: “Because we are literally working on a thousand applications internally. I guarantee you there is not a single application that you can think of that is not going to be made better by AI.” The standard enterprise strategy is to launch one or two safe, isolated AI pilots and test the waters. You don’t pilot a horizontal enabling layer. You saturate the board immediately. Amazon isn’t building a single monolithic chatbot. It’s deploying a thousand specialized execution loops across every friction point in the empire. If your deployment strategy isn’t total saturation, you’re already bleeding margin to someone whose is. Interviewer: “What is it that you’re doing at Amazon?” Bezos: “AI. It’s 95% AI.” The standard CEO delegates automation strategy to a mid-level committee while focusing on quarterly earnings. The operator commanding a trillion-dollar supply chain is spending 95 percent of his personal bandwidth on a single vector. That is the market signal. If the leader of your organization isn’t driving algorithmic integration from the top down with everything they have, the company is already dead. It just hasn’t received the memo yet.

Dustin

404,830 次观看 • 5 个月前

I’ve tested a lot of AI tools this year. But nothing made me stop like this. For years, AI avatars could only talk. They looked robotic. Felt static. Always trapped inside one frame. Then Synthesia 🎥 dropped something different. Avatars that can act. Walk across a scene. Gesture with meaning. Gesture, pause, connect like you’re truly in the moment. It’s not just AI video anymore. It’s cinematic storytelling powered by text. The first time I saw it, I had to replay it twice. Because for a moment, I forgot it was AI. This isn’t an upgrade. It’s a breakthrough. We’re entering a new era where creators can turn imagination into motion. A full 3D scene. A complete performance. All from a simple prompt. Think about what that means. No studio setup. No crew. No editing. Just an idea and a few words. Training videos that feel human. Brand stories that look alive. Content that moves with intention. Synthesia solved what most people thought was impossible. Hands that move naturally. Gestures that match emotion. Scenes that look alive, not artificial. And it’s not about replacing creators. It’s about giving them a new stage. A way to build visuals that used to take cameras, lights, and budgets. Now, it takes creativity and a prompt. This feels like the moment AI video becomes a creative playground. And Synthesia just handed us the keys.
0:34

I’ve tested a lot of AI tools this year. But nothing made me stop like this. For years, AI avatars could only talk. They looked robotic. Felt static. Always trapped inside one frame. Then Synthesia 🎥 dropped something different. Avatars that can act. Walk across a scene. Gesture with meaning. Gesture, pause, connect like you’re truly in the moment. It’s not just AI video anymore. It’s cinematic storytelling powered by text. The first time I saw it, I had to replay it twice. Because for a moment, I forgot it was AI. This isn’t an upgrade. It’s a breakthrough. We’re entering a new era where creators can turn imagination into motion. A full 3D scene. A complete performance. All from a simple prompt. Think about what that means. No studio setup. No crew. No editing. Just an idea and a few words. Training videos that feel human. Brand stories that look alive. Content that moves with intention. Synthesia solved what most people thought was impossible. Hands that move naturally. Gestures that match emotion. Scenes that look alive, not artificial. And it’s not about replacing creators. It’s about giving them a new stage. A way to build visuals that used to take cameras, lights, and budgets. Now, it takes creativity and a prompt. This feels like the moment AI video becomes a creative playground. And Synthesia just handed us the keys.

Darshal Jaitwar

56,865 次观看 • 9 个月前

Meta’s Chief AI Officer Alexandr Wang just put a five-year countdown on the most consequential race in human history. Wang: “Mark and myself, we very strongly believe that this is a very special time in human history.” Not a decade. Not a generation. Five years. Wang: “The discoveries made over the next half-decade are going to be some of the most monumental discoveries that human civilization has ever made.” To run that race, Meta didn’t just build a new model. They built an entirely new division from scratch. Meta Superintelligence Labs. Designed from a blank slate. Singular focus. Wang: “What does the optimal team look like for the future of superintelligence?” The bottleneck to superintelligence isn’t compute anymore. It isn’t data. It’s the density of human genius in a single room. Wang: “Highest talent density. Bring the very best people together and build the best possible environment for them.” The AI arms race has shifted from hoarding GPUs to hoarding the smartest minds on earth. The first company to perfect that organizational structure will be the first company to reach superintelligence. But reaching it is only half the battle. Deploying what you built to the world is the other half. And here is where Meta’s advantage becomes almost unfair. Wang: “Three and a half billion people utilize our platforms every single day.” While every other AI lab is still trying to figure out how to get users to adopt their technology, Meta already has nearly half the planet locked into their ecosystem. MSL wasn’t built just to achieve scientific breakthroughs. Wang: “Build the products that will enable this technology to be deployed to billions and billions of people worldwide.” Whoever builds superintelligence first wins the race. Whoever distributes it to 3.5 billion people controls what comes after. Meta is positioning to do both.
1:31

Meta’s Chief AI Officer Alexandr Wang just put a five-year countdown on the most consequential race in human history. Wang: “Mark and myself, we very strongly believe that this is a very special time in human history.” Not a decade. Not a generation. Five years. Wang: “The discoveries made over the next half-decade are going to be some of the most monumental discoveries that human civilization has ever made.” To run that race, Meta didn’t just build a new model. They built an entirely new division from scratch. Meta Superintelligence Labs. Designed from a blank slate. Singular focus. Wang: “What does the optimal team look like for the future of superintelligence?” The bottleneck to superintelligence isn’t compute anymore. It isn’t data. It’s the density of human genius in a single room. Wang: “Highest talent density. Bring the very best people together and build the best possible environment for them.” The AI arms race has shifted from hoarding GPUs to hoarding the smartest minds on earth. The first company to perfect that organizational structure will be the first company to reach superintelligence. But reaching it is only half the battle. Deploying what you built to the world is the other half. And here is where Meta’s advantage becomes almost unfair. Wang: “Three and a half billion people utilize our platforms every single day.” While every other AI lab is still trying to figure out how to get users to adopt their technology, Meta already has nearly half the planet locked into their ecosystem. MSL wasn’t built just to achieve scientific breakthroughs. Wang: “Build the products that will enable this technology to be deployed to billions and billions of people worldwide.” Whoever builds superintelligence first wins the race. Whoever distributes it to 3.5 billion people controls what comes after. Meta is positioning to do both.

Dustin

32,982 次观看 • 5 个月前

Jonathan Ross just revealed why AI companies aren’t growing faster. Not demand. Not competition. Physics. Ross: “The demand for compute is insatiable.” There isn’t enough compute in the world. Not a temporary shortage. A fundamental gap between what the market wants and what the infrastructure can deliver. Ross: “Right now, one of the biggest complaints of Anthropic is the rate limits. People can’t get enough tokens.” Rate limits aren’t product decisions. They’re rationing. Companies forced to regulate access because infrastructure cannot meet demand. Slower services. Token caps. The only things standing between these companies and a revenue surge they can’t access. Every token cap is a revenue cap. Every slowdown is a sale that didn’t happen. Ross: “If Anthropic was given twice the inference compute, within one month their revenue would almost double.” Read that again. Double the compute. Double the revenue. Within thirty days. That’s not a growth projection. That’s a measurement of how deep the backlog already is. The demand exists right now. It’s sitting in a queue. The only thing between these companies and that revenue is physical hardware they don’t have. This breaks every assumption about how tech companies scale. Usually you scale by finding customers. AI companies have infinite customers. They scale by finding hardware. The constraint isn’t market fit. It isn’t distribution. It isn’t competition. It’s processing power. This is why Jensen Huang is the most important person in the world right now. NVIDIA doesn’t just make chips. It makes the thing every government, every AI lab, and every company racing for this future needs more of and can’t get enough of. The compute bottleneck isn’t a tech industry problem. It’s a civilizational one. The winner of this era isn’t determined by who builds the smartest model. Every major lab has a frontier model. The winner is whoever secures the most compute fastest while everyone else rations what’s left. The race isn’t for intelligence. It’s for infrastructure. And right now there isn’t enough to go around.
0:53

Jonathan Ross just revealed why AI companies aren’t growing faster. Not demand. Not competition. Physics. Ross: “The demand for compute is insatiable.” There isn’t enough compute in the world. Not a temporary shortage. A fundamental gap between what the market wants and what the infrastructure can deliver. Ross: “Right now, one of the biggest complaints of Anthropic is the rate limits. People can’t get enough tokens.” Rate limits aren’t product decisions. They’re rationing. Companies forced to regulate access because infrastructure cannot meet demand. Slower services. Token caps. The only things standing between these companies and a revenue surge they can’t access. Every token cap is a revenue cap. Every slowdown is a sale that didn’t happen. Ross: “If Anthropic was given twice the inference compute, within one month their revenue would almost double.” Read that again. Double the compute. Double the revenue. Within thirty days. That’s not a growth projection. That’s a measurement of how deep the backlog already is. The demand exists right now. It’s sitting in a queue. The only thing between these companies and that revenue is physical hardware they don’t have. This breaks every assumption about how tech companies scale. Usually you scale by finding customers. AI companies have infinite customers. They scale by finding hardware. The constraint isn’t market fit. It isn’t distribution. It isn’t competition. It’s processing power. This is why Jensen Huang is the most important person in the world right now. NVIDIA doesn’t just make chips. It makes the thing every government, every AI lab, and every company racing for this future needs more of and can’t get enough of. The compute bottleneck isn’t a tech industry problem. It’s a civilizational one. The winner of this era isn’t determined by who builds the smartest model. Every major lab has a frontier model. The winner is whoever secures the most compute fastest while everyone else rations what’s left. The race isn’t for intelligence. It’s for infrastructure. And right now there isn’t enough to go around.

Dustin

28,395 次观看 • 6 个月前

In China, wokism is banned. No endless culture wars, no performative activism. Instead: discipline, planning, and a national project that looks to 2035, not just the next election cycle. 🌍 China 2035: The End of Capitalism As We Know It isn’t just another book. It’s a wake-up call. While much of the developing world gets trapped in poverty, corruption, and dependency, and Western elites drown in wokism and empty virtue signaling… China is building: ✅ 40,000 km of high-speed rail ✅ Smart cities powered by AI ✅ A middle class larger than the entire U.S. population ✅ Industrial capacity that redefines global supply chains This is the sharpest contrast of our time: •Third World nations: trapped in corruption and stagnation. •Woke West: obsessed with symbols over substance. •China: focused on results, growth, and the long game. 👉 That’s why China 2035: The End of Capitalism As We Know It matters. It reveals how China is rewriting the rules of global power. 📖 Available now: Apple Books | Amazon | Indigo
2:30

In China, wokism is banned. No endless culture wars, no performative activism. Instead: discipline, planning, and a national project that looks to 2035, not just the next election cycle. 🌍 China 2035: The End of Capitalism As We Know It isn’t just another book. It’s a wake-up call. While much of the developing world gets trapped in poverty, corruption, and dependency, and Western elites drown in wokism and empty virtue signaling… China is building: ✅ 40,000 km of high-speed rail ✅ Smart cities powered by AI ✅ A middle class larger than the entire U.S. population ✅ Industrial capacity that redefines global supply chains This is the sharpest contrast of our time: •Third World nations: trapped in corruption and stagnation. •Woke West: obsessed with symbols over substance. •China: focused on results, growth, and the long game. 👉 That’s why China 2035: The End of Capitalism As We Know It matters. It reveals how China is rewriting the rules of global power. 📖 Available now: Apple Books | Amazon | Indigo

Simón Levy

319,162 次观看 • 11 个月前

Today I assembled the first batch of reBot DevArm in the U.S! First one on the planet! 🇺🇸⚙️ But this isn’t about a robot arm. This is about what happens when open source hits robotics. For years: •Hardware was locked •Robotics was expensive •Embodied AI was out of reach Now? Anyone can get their hands on: •6 DOF manipulation •Real precision (<0.2 mm repeatability) •Full stack access (ROS, Isaac Sim, LeRobot) This is how movements start. Not in labs. Not behind paywalls. But in the hands of builders. Massive respect to Seeed Studio for pushing true open-source robotics forward! We’re about to see: → Thousands of robot arms trained like athletes → Real-world datasets explode → Physical AI built in garages, not just research labs At SoloTech , this is the unlock we’ve been waiting for, training and deploying Physical AI skill models on real hardware, anywhere. No sims. No vaporware. No excuses. Production Grade Physical AI. Want to get access? Check out the Physical AI Gym in San Francisco or DM me.
0:20

Today I assembled the first batch of reBot DevArm in the U.S! First one on the planet! 🇺🇸⚙️ But this isn’t about a robot arm. This is about what happens when open source hits robotics. For years: •Hardware was locked •Robotics was expensive •Embodied AI was out of reach Now? Anyone can get their hands on: •6 DOF manipulation •Real precision (<0.2 mm repeatability) •Full stack access (ROS, Isaac Sim, LeRobot) This is how movements start. Not in labs. Not behind paywalls. But in the hands of builders. Massive respect to Seeed Studio for pushing true open-source robotics forward! We’re about to see: → Thousands of robot arms trained like athletes → Real-world datasets explode → Physical AI built in garages, not just research labs At SoloTech , this is the unlock we’ve been waiting for, training and deploying Physical AI skill models on real hardware, anywhere. No sims. No vaporware. No excuses. Production Grade Physical AI. Want to get access? Check out the Physical AI Gym in San Francisco or DM me.

Dhruv Diddi

31,439 次观看 • 4 个月前

VoiceBox just did what everyone thought was impossible. It might have killed ElevenLabs overnight. No subscription. No cloud. No credits. Runs locally on your machine. Clones a voice from 3 seconds of audio. Powered by Qwen 3 TTS. Apache 2.0 license. Commercial use allowed. And your voice data never leaves your computer. For years, if you wanted high quality voice cloning, ElevenLabs was the default. Now there’s a free open-source alternative that sounds shockingly close. Plus it has a built-in multi-track editor, recording, transcription with Whisper, and a local API. This isn’t just another TTS tool. It’s a full voice production studio on your desktop. Open source AI is catching up fast. And this changes the game for creators and businesses. Would you trust the cloud with your voice… or keep it local? 👇
8:20

VoiceBox just did what everyone thought was impossible. It might have killed ElevenLabs overnight. No subscription. No cloud. No credits. Runs locally on your machine. Clones a voice from 3 seconds of audio. Powered by Qwen 3 TTS. Apache 2.0 license. Commercial use allowed. And your voice data never leaves your computer. For years, if you wanted high quality voice cloning, ElevenLabs was the default. Now there’s a free open-source alternative that sounds shockingly close. Plus it has a built-in multi-track editor, recording, transcription with Whisper, and a local API. This isn’t just another TTS tool. It’s a full voice production studio on your desktop. Open source AI is catching up fast. And this changes the game for creators and businesses. Would you trust the cloud with your voice… or keep it local? 👇

Julian Goldie SEO

59,167 次观看 • 6 个月前

Eric Schmidt just identified how America loses the AI war despite building better technology, and most people haven’t noticed it’s already happening. Schmidt: “The U.S. is chasing AGI.” America is fixated on one prize. Artificial General Intelligence. The god model. The moonshot that changes everything. Pouring resources into the ultimate breakthrough. China isn’t playing that game at all. Schmidt: “China is shipping day-to-day AI apps, and robotics.” Not waiting for superintelligence. Deploying current AI everywhere right now. Factory floors. Consumer devices. Supply chains. Physical robots at industrial scale. Today, not eventually. America might win the race to AGI and still lose the world. Schmidt: “If Chinese open-source models get good enough…” The strategic blindness is structural. US models are closed, proprietary, expensive. Chinese models like DeepSeek are open and free. Where does the developing world build its digital future? On technology it can access and afford. Which means Chinese. Schmidt: “Much of the world could end up building on them.” America competes for smartest AI. China competes for most embedded AI. And embedded wins. Technical superiority is worthless when the global standard already runs on your competitor’s freely available stack. Schmidt: “We better also be competing with the Chinese in day-to-day stuff.” The US places all chips on the ten-year AGI bet while handing China the entire commercial present. China deploys relentlessly. Robots, apps, infrastructure, all shipping now while America perfects research. Optimize exclusively for breakthrough and you surrender the industrial base. That base determines who controls what actually matters. Superintelligence is strategically meaningless if China owns the hardware running it, the software layer beneath it, and the deployed systems the world depends on. You can build the most advanced AI in existence. If nobody uses it because they’re locked into competitor ecosystems established years earlier while you focused on moonshots, you didn’t win. You built expensive irrelevance. This isn’t about capability. It’s deployment speed, adoption capture, and which technology becomes the foundation everything else builds on. America chases the ceiling. China is becoming the floor. And in technology, the floor matters more. Standards don’t win by being superior. They win by being everywhere first. And once established, switching costs make replacement nearly impossible regardless of technical advantages. We might invent AGI. China might own every system it runs on, every device it connects to, every market it operates in. At that point, creating the most intelligent AI while controlling none of the infrastructure it needs to function isn’t triumph. It’s building the world’s most advanced engine with no vehicle to put it in while your competitor already sold cars to everyone. The war isn’t won in labs. It’s won in factories, phones, and supply chains. And while we perfect the breakthrough, they’re winning the adoption race that actually determines who shapes the future.
1:45

Eric Schmidt just identified how America loses the AI war despite building better technology, and most people haven’t noticed it’s already happening. Schmidt: “The U.S. is chasing AGI.” America is fixated on one prize. Artificial General Intelligence. The god model. The moonshot that changes everything. Pouring resources into the ultimate breakthrough. China isn’t playing that game at all. Schmidt: “China is shipping day-to-day AI apps, and robotics.” Not waiting for superintelligence. Deploying current AI everywhere right now. Factory floors. Consumer devices. Supply chains. Physical robots at industrial scale. Today, not eventually. America might win the race to AGI and still lose the world. Schmidt: “If Chinese open-source models get good enough…” The strategic blindness is structural. US models are closed, proprietary, expensive. Chinese models like DeepSeek are open and free. Where does the developing world build its digital future? On technology it can access and afford. Which means Chinese. Schmidt: “Much of the world could end up building on them.” America competes for smartest AI. China competes for most embedded AI. And embedded wins. Technical superiority is worthless when the global standard already runs on your competitor’s freely available stack. Schmidt: “We better also be competing with the Chinese in day-to-day stuff.” The US places all chips on the ten-year AGI bet while handing China the entire commercial present. China deploys relentlessly. Robots, apps, infrastructure, all shipping now while America perfects research. Optimize exclusively for breakthrough and you surrender the industrial base. That base determines who controls what actually matters. Superintelligence is strategically meaningless if China owns the hardware running it, the software layer beneath it, and the deployed systems the world depends on. You can build the most advanced AI in existence. If nobody uses it because they’re locked into competitor ecosystems established years earlier while you focused on moonshots, you didn’t win. You built expensive irrelevance. This isn’t about capability. It’s deployment speed, adoption capture, and which technology becomes the foundation everything else builds on. America chases the ceiling. China is becoming the floor. And in technology, the floor matters more. Standards don’t win by being superior. They win by being everywhere first. And once established, switching costs make replacement nearly impossible regardless of technical advantages. We might invent AGI. China might own every system it runs on, every device it connects to, every market it operates in. At that point, creating the most intelligent AI while controlling none of the infrastructure it needs to function isn’t triumph. It’s building the world’s most advanced engine with no vehicle to put it in while your competitor already sold cars to everyone. The war isn’t won in labs. It’s won in factories, phones, and supply chains. And while we perfect the breakthrough, they’re winning the adoption race that actually determines who shapes the future.

Dustin

78,709 次观看 • 6 个月前