正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

AI is evolving FAST. From agentic AI to physical AI, one thing remains the same: it needs data to grow. Nodepay is building the infrastructure that feeds AI with the intelligence it needs. The demand is massive—the opportunity is even bigger. 🎥👇

Nodepay

1,189,423 subscribers

78,830 次观看 • 1 年前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

11 条评论

SnowyLuna 的头像

SnowyLuna1 年前

I cant believe I even bought this trash token. they are telling you they building something but they are not. they just keep posting same video over and over. Season 3 stuck. desktop app is no where to be found. fnckn price can't even get past 10M market cap.

Top 的头像

Top1 年前

I need allocation season 3 !!

The Rundown AI 的头像

The Rundown AI2 年前

AI won't replace you, but a person using AI will. Join 500,000+ readers and learn how to use AI in just 5 minutes a day (for free).

Feyisayo 的头像

Feyisayo1 年前

Omoo leave story When you wan share S3 allocation?

❤️ 🔥 ꧁ Draco ꧂ 🔥 ❤️ 的头像

❤️ 🔥 ꧁ Draco ꧂ 🔥 ❤️1 年前

Nice story. People are waiting for S3 allocation though 👀 WEN

Deonly 的头像

Deonly1 年前

Need In Linking My Solana Wallet To My Nodepay account

caviar 的头像

caviar1 年前

Hello, is the quantity verified on the dashboard the airdrop quantity?

Anthony 🐐 的头像

Anthony 🐐1 年前

I change my wallet soI can claim my token, but to my greatest surprise my token disappear with any knowledge of what happened, please what is happening??

chris97x 的头像

chris97x1 年前

... where is the airdrop, man????????????? stop stupid story-telling! Which company will give you their intern data to train it on old private PCs and Laptops ... are you kidding us???

Mon Bdr Subba 的头像

Mon Bdr Subba1 年前

When Nopepay ll reward the further seasons? Please reply

CM_Buc. 的头像

CM_Buc.1 年前

where are my season 3 coins?\ why didn't I get them from season 3?

相关视频

AI is supercharging optical networks! The AI boom is driving massive investments, pushing network speeds from 400Gbps to 800Gbps and beyond, with terabit bandwidth on the horizon. As data centers and enterprises demand faster access, carriers have a golden opportunity to upgrade infrastructure and meet evolving needs. Watch #TransformTalks from #MWC25 in Barcelona: #Huawei #ThisIsHuawei

AI is supercharging optical networks! The AI boom is driving massive investments, pushing network speeds from 400Gbps to 800Gbps and beyond, with terabit bandwidth on the horizon. As data centers and enterprises demand faster access, carriers have a golden opportunity to upgrade infrastructure and meet evolving needs. Watch #TransformTalks from #MWC25 in Barcelona: #Huawei #ThisIsHuawei

Huawei

5,057,562 次观看 • 1 年前

Coming soon: $AI gensyn, the network for machine intelligence, is an open infrastructure layer for AI. It provides infrastructure AI needs to operate at scale: compute, data, and information exchange. Get ready →

Coming soon: $AI gensyn, the network for machine intelligence, is an open infrastructure layer for AI. It provides infrastructure AI needs to operate at scale: compute, data, and information exchange. Get ready →

Kraken Listings

53,052 次观看 • 2 个月前

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Karl Mehta

14,140 次观看 • 17 天前

Physical AI is the biggest opportunity most people are sleepwalking past. "Physical AI is a $50 trillion market." - Jensen at The All-In Podcast Robots. Autonomous vehicles. Embodied AI. The infrastructure to power all of it. Nvidia isn't just selling GPUs anymore. They're building the OS for the physical AI era.

Physical AI is the biggest opportunity most people are sleepwalking past. "Physical AI is a $50 trillion market." - Jensen at The All-In Podcast Robots. Autonomous vehicles. Embodied AI. The infrastructure to power all of it. Nvidia isn't just selling GPUs anymore. They're building the OS for the physical AI era.

Shruti

51,519 次观看 • 3 个月前

AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.

AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.

Cristiano R. Amon

15,607 次观看 • 18 天前

The next AI revolution is not just happening on screens. It is happening in the physical world. Robots, drones, autonomous vehicles, and smart machines all need one thing before they can operate safely: Precise location. Traditional GPS can be off by several meters. For humans, that may be fine. For autonomous machines, it can be dangerous. GEODNET is building the spatial intelligence layer for Physical AI, using RTK positioning to improve accuracy from meters to within one centimeter. Over 20,000 base stations. 170+ countries. 11,000+ cities. 130+ enterprise customers. Physical AI needs real-world infrastructure. That infrastructure is being built now.

The next AI revolution is not just happening on screens. It is happening in the physical world. Robots, drones, autonomous vehicles, and smart machines all need one thing before they can operate safely: Precise location. Traditional GPS can be off by several meters. For humans, that may be fine. For autonomous machines, it can be dangerous. GEODNET is building the spatial intelligence layer for Physical AI, using RTK positioning to improve accuracy from meters to within one centimeter. Over 20,000 base stations. 170+ countries. 11,000+ cities. 130+ enterprise customers. Physical AI needs real-world infrastructure. That infrastructure is being built now.

GEODNET

137,630 次观看 • 20 天前

Is your AI infrastructure ready for the agentic era? At Cisco Live, I connected with Gordon Macintosh and Dale Tucker from Equinix, Inc. to explore how the Secure AI Factory ecosystem is building the physical and interconnection foundations that make agentic AI at scale possible. Three thing leaders are still overlooking: → Distributed infrastructure. Production AI = multiple agents, tools, data sources, and policies → Data gravity is real. Sovereignty, regulation, and sensitivity shape where AI can run. → Last mile connectivity is where strategies stall. Secure, predictable, low-latency connections aren't optional at production scale. The Cisco + NVIDIA + Equinix, Inc. reference architecture is one of the most concrete answers I've seen with Equinix as the neutral landing zone across 280+ data centers worldwide. As Dale put it: "Last mile connectivity is where AI strategy can either accelerate or stall." The companies that win the next phase of AI will be the ones who got the infrastructure and the ecosystem right. Watch our full conversation here: #CiscoLive #SecureAIFactory #EquinixPartner #CiscoPartner

Is your AI infrastructure ready for the agentic era? At Cisco Live, I connected with Gordon Macintosh and Dale Tucker from Equinix, Inc. to explore how the Secure AI Factory ecosystem is building the physical and interconnection foundations that make agentic AI at scale possible. Three thing leaders are still overlooking: → Distributed infrastructure. Production AI = multiple agents, tools, data sources, and policies → Data gravity is real. Sovereignty, regulation, and sensitivity shape where AI can run. → Last mile connectivity is where strategies stall. Secure, predictable, low-latency connections aren't optional at production scale. The Cisco + NVIDIA + Equinix, Inc. reference architecture is one of the most concrete answers I've seen with Equinix as the neutral landing zone across 280+ data centers worldwide. As Dale put it: "Last mile connectivity is where AI strategy can either accelerate or stall." The companies that win the next phase of AI will be the ones who got the infrastructure and the ecosystem right. Watch our full conversation here: #CiscoLive #SecureAIFactory #EquinixPartner #CiscoPartner

Helen Yu

11,549 次观看 • 1 个月前

The gap between what AI can do vs what we're building with it is MASSIVE right now. That gap is your opportunity to build.⁣ ⁣ This might be the best time ever to start an AI company.

The gap between what AI can do vs what we're building with it is MASSIVE right now. That gap is your opportunity to build.⁣ ⁣ This might be the best time ever to start an AI company.

Garry Tan

113,028 次观看 • 1 年前

Nvidia continues to dominate the AI industry with record earnings, explosive data center growth, and massive demand for compute. But the bigger story is what’s happening globally behind the scenes. China is aggressively competing with the United States on AI infrastructure, power generation, and data center expansion and they don’t want to rely on American chips to do it. This is no longer just about stocks it’s a global race for AI dominance.

Nvidia continues to dominate the AI industry with record earnings, explosive data center growth, and massive demand for compute. But the bigger story is what’s happening globally behind the scenes. China is aggressively competing with the United States on AI infrastructure, power generation, and data center expansion and they don’t want to rely on American chips to do it. This is no longer just about stocks it’s a global race for AI dominance.

Kevin O'Leary aka Mr. Wonderful

12,462 次观看 • 1 个月前

Jensen Huang says the industry is shifting from generative AI to agentic AI The next major step is fusing public cloud frontier models with customized open-source systems running on enterprise servers But the end goal is physical: "moving intelligence from the cloud into industrial AI, factories and robotics"

Jensen Huang says the industry is shifting from generative AI to agentic AI The next major step is fusing public cloud frontier models with customized open-source systems running on enterprise servers But the end goal is physical: "moving intelligence from the cloud into industrial AI, factories and robotics"

Haider.

49,411 次观看 • 6 个月前

Miami showed where the industry is heading. AI agents. Stablecoins. Privacy. NEAR is building the infra connecting it all. From agentic commerce to confidential AI, Consensus made one thing clear: The next internet economy will be autonomous, interoperable, and user-owned.

Miami showed where the industry is heading. AI agents. Stablecoins. Privacy. NEAR is building the infra connecting it all. From agentic commerce to confidential AI, Consensus made one thing clear: The next internet economy will be autonomous, interoperable, and user-owned.

NEAR Protocol

148,619 次观看 • 1 个月前

Ready to shape the AI era? Join Huawei at MWC 2026 Barcelona for Advancing All Intelligence. Learn new AI trends from industry leaders and discover how IT infrastructure is evolving. It's time to explore the boundaries of intelligence and create a new architecture for the AI era.

Ready to shape the AI era? Join Huawei at MWC 2026 Barcelona for Advancing All Intelligence. Learn new AI trends from industry leaders and discover how IT infrastructure is evolving. It's time to explore the boundaries of intelligence and create a new architecture for the AI era.

Huawei

1,568,565 次观看 • 4 个月前

In the AI era, the traditional biopharma industry is the underdog. Big tech and AI labs are building wet labs. China has overtaken Europe in molecules produced. But the tools available to the industry discuss science, not do it. The hard problem in AI for science is at the interface between the physical and digital worlds. We built an AI Scientist at that seam. It wires together the digital and physical worlds of R&D. Predictive models, data infrastructure, wet lab execution feed into a single loop that reasons, acts, and improves with every experiment. Our ambition: get molecules to the clinic twice as fast. Last fall I wrote about why biotech needs to be rebuilt for the AI era. Today I'm sharing the next chapter: what the AI Scientist is, a blueprint for how it works, and why even Richard Feynman couldn't hack it in a wet lab.

In the AI era, the traditional biopharma industry is the underdog. Big tech and AI labs are building wet labs. China has overtaken Europe in molecules produced. But the tools available to the industry discuss science, not do it. The hard problem in AI for science is at the interface between the physical and digital worlds. We built an AI Scientist at that seam. It wires together the digital and physical worlds of R&D. Predictive models, data infrastructure, wet lab execution feed into a single loop that reasons, acts, and improves with every experiment. Our ambition: get molecules to the clinic twice as fast. Last fall I wrote about why biotech needs to be rebuilt for the AI era. Today I'm sharing the next chapter: what the AI Scientist is, a blueprint for how it works, and why even Richard Feynman couldn't hack it in a wet lab.

Sajith Wickramasekara

30,566 次观看 • 2 个月前

Anglera ( is building the AI layer for product data. Anglera turns messy inputs— product feeds, websites, PDFs— into structured catalogs optimized for AI search and agentic commerce.

Anglera ( is building the AI layer for product data. Anglera turns messy inputs— product feeds, websites, PDFs— into structured catalogs optimized for AI search and agentic commerce.

Y Combinator

23,337 次观看 • 1 年前

Eric Schmidt: “America needs 80 gigawatts in the next 3-5 years” The real demand from hyperscalers for AI data centers is otherworldly, they need 1 to 10 gigawatts EACH The real economics are being most felt in the infrastructure buildout powering the next wave of AI

Eric Schmidt: “America needs 80 gigawatts in the next 3-5 years” The real demand from hyperscalers for AI data centers is otherworldly, they need 1 to 10 gigawatts EACH The real economics are being most felt in the infrastructure buildout powering the next wave of AI

Small Cap Snipa

39,856 次观看 • 5 个月前

Could You Guess What Comes After the OptimAI Edge Node? We’re excited to share another glimpse into the future, Community-Powered Data Validation, a unique feature within the OptimAI Core Node for desktop. What is Data Validation? It’s the essential process of ensuring AI systems learn from accurate, unbiased, and high-quality data. Through human intelligence, users verify, correct, and refine information - making it reliable for training advanced AI agents. This process is enabled by the OptimAI DeHIN (Decentralized Human Intelligence Network), which brings collective intelligence into the heart of AI development. Why is it important? Because truly responsible and powerful AI starts with trusted data. Community validation improves fairness, transparency, and performance - ensuring AI benefits everyone. And as a participant, you’re not just supporting better AI; you’re earning rewards and shaping its future. Your desktop is about to become much more than a device. It’s a gateway to reinforcing the quality of data that powers Agentic AI. Validate data. Strengthen AI. Get rewarded. The future of AI is collective — and it needs you. #BUIDL with us! 👉OptimAI Lite Node: 👉OptimAI Edge Node:

Could You Guess What Comes After the OptimAI Edge Node? We’re excited to share another glimpse into the future, Community-Powered Data Validation, a unique feature within the OptimAI Core Node for desktop. What is Data Validation? It’s the essential process of ensuring AI systems learn from accurate, unbiased, and high-quality data. Through human intelligence, users verify, correct, and refine information - making it reliable for training advanced AI agents. This process is enabled by the OptimAI DeHIN (Decentralized Human Intelligence Network), which brings collective intelligence into the heart of AI development. Why is it important? Because truly responsible and powerful AI starts with trusted data. Community validation improves fairness, transparency, and performance - ensuring AI benefits everyone. And as a participant, you’re not just supporting better AI; you’re earning rewards and shaping its future. Your desktop is about to become much more than a device. It’s a gateway to reinforcing the quality of data that powers Agentic AI. Validate data. Strengthen AI. Get rewarded. The future of AI is collective — and it needs you. #BUIDL with us! 👉OptimAI Lite Node: 👉OptimAI Edge Node:

OptimAI Network

60,626 次观看 • 1 年前

AI cannot make money. ChatGPT costs billions to run. Generates almost nothing in return. So why is Amazon, Microsoft, Google and Meta tripling their AI investment every year? Because they are all investing in each other. It is a circle. Nobody is making money. Everyone is pretending they will. There is only one solution to a bubble this big. The government. Three days after Trump's inauguration — Operation Stargate. $500 billion for AI data centers. Not because AI is profitable. Because the government needs the surveillance infrastructure that AI makes possible. AI needed the government to survive. The government needed AI to control. They found each other. And you are paying for it.

AI cannot make money. ChatGPT costs billions to run. Generates almost nothing in return. So why is Amazon, Microsoft, Google and Meta tripling their AI investment every year? Because they are all investing in each other. It is a circle. Nobody is making money. Everyone is pretending they will. There is only one solution to a bubble this big. The government. Three days after Trump's inauguration — Operation Stargate. $500 billion for AI data centers. Not because AI is profitable. Because the government needs the surveillance infrastructure that AI makes possible. AI needed the government to survive. The government needed AI to control. They found each other. And you are paying for it.

Predictive History

19,635 次观看 • 1 个月前

The world is talking about AI, Saudi Arabia is building with it. In every sector, from energy to education, intelligence is no longer artificial, it’s national.

The world is talking about AI, Saudi Arabia is building with it. In every sector, from energy to education, intelligence is no longer artificial, it’s national.

رؤية السعودية 2030

16,814 次观看 • 8 个月前