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Most businesses can’t “rip and replace” their legacy systems. That’s where agentic systems come in. Hear Humayun Sheikh (Humayun) explain why AI-first infrastructure needs a bridge, not a rebuild. 📺 Full Acumen Media documentary hosted on CNBC:

Fetch.ai

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Agentic systems aren’t just about one AI doing everything - they’re about multiple AIs working together, each with its own personality and purpose. CTO Devon Bleibtrey explains how ASI One is making personalized AI accessible for everyone, empowering developers and individuals alike. 👉 Watch the full Acumen Media documentary on CNBC to see the future of AI personalization in action:

Agentic systems aren’t just about one AI doing everything - they’re about multiple AIs working together, each with its own personality and purpose. CTO Devon Bleibtrey explains how ASI One is making personalized AI accessible for everyone, empowering developers and individuals alike. 👉 Watch the full Acumen Media documentary on CNBC to see the future of AI personalization in action:

Fetch.ai

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Smarter machines won’t come from piling on compute. They come from smarter system design. Texas Instruments' Mark Ng and Olivier Blanchard 💬 break down why software-defined systems depend on consolidation, not sprawl. Zone architectures replace dozens of legacy edge nodes with a handful of intelligent boards—cutting wiring, weight, and cost while enabling real-time intelligence across vehicles, robots, and physical systems. Watch the full discussion:

Smarter machines won’t come from piling on compute. They come from smarter system design. Texas Instruments' Mark Ng and Olivier Blanchard 💬 break down why software-defined systems depend on consolidation, not sprawl. Zone architectures replace dozens of legacy edge nodes with a handful of intelligent boards—cutting wiring, weight, and cost while enabling real-time intelligence across vehicles, robots, and physical systems. Watch the full discussion:

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Most people experience AI through apps. Those apps run on infrastructure owned by a handful of companies. Ben Fielding and Harry Grieve of gensyn on why that needs to change, and what it's going to take to rebuild AI as crypto-native open infrastructure. 00:00 – Intro 00:29 – Misconceptions about AI infrastructure 01:20 – Why centralization in AI is a deeper problem than people realize 04:19 – Why AI needs crypto 05:51 – How AI models are trained 08:15 – The rise of autonomous AI agents with onchain identities 10:37 – Lightning round

Most people experience AI through apps. Those apps run on infrastructure owned by a handful of companies. Ben Fielding and Harry Grieve of gensyn on why that needs to change, and what it's going to take to rebuild AI as crypto-native open infrastructure. 00:00 – Intro 00:29 – Misconceptions about AI infrastructure 01:20 – Why centralization in AI is a deeper problem than people realize 04:19 – Why AI needs crypto 05:51 – How AI models are trained 08:15 – The rise of autonomous AI agents with onchain identities 10:37 – Lightning round

a16z crypto

24,239 görüntüleme • 3 ay önce

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 görüntüleme • 1 ay önce

🚨$OSS is not an AI company. → It is the hardware that lets AI exist where the cloud cannot. Most investors don’t understand $OSS because they think AI = software. $OSS builds the physical “brains” that run AI in extreme environments where cloud computing fails. Jets. Ships. Tanks. Drones. Space. Hospitals. That’s the game. 1) What $OSS actually is $OSS (One Stop Systems) designs rugged high-performance computers and storage systems for AI at the edge. Meaning: They bring data-center-level computing power into harsh environments. Their products include rugged servers, GPU accelerators, storage arrays, and expansion systems used for AI, sensor processing, and autonomous systems. In simple terms: Cloud AI = brain in a safe building. $OSS AI = brain inside machines operating in chaos. 2) Why this is crucial Most AI today runs in data centers. But the future of AI is not in the cloud. It’s on: • autonomous vehicles • military systems • drones • ships • industrial machines • medical devices These systems cannot wait for the cloud. Latency, connectivity, security, and survival demand local AI. $OSS delivers “data-center performance at the edge” across land, sea, and air. Without companies like OSS, autonomous systems simply don’t work. 3) What OSS actually does: Think of OSS as building AI engines that survive reality. 🌊 SEA example: naval surveillance aircraft and ships. $OSS supplies rugged storage and compute systems for U.S. Navy reconnaissance aircraft to collect and process massive sensor data in real time. Translation: Instead of sending raw data back to base, the aircraft analyzes threats instantly onboard. $OSS = the onboard AI brain. 🪖 LAND example: military vehicles and tactical operations. $OSS delivers high-performance servers and FPGA systems for mobile military intelligence platforms used by the U.S. Department of Defense. Translation: Tanks and vehicles detect threats, process sensor data, and make decisions locally. $OSS = the battlefield computer. ✈️ AIR example: airborne AI. $OSS builds GPU-accelerated servers designed for aircraft, described as a “datacenter in the sky.” Translation: Jets and drones run AI models mid-flight. $OSS = flying supercomputers. 🚀 SPACE example: $OSS hardware is designed for extreme environments and autonomous systems across aerospace and defense. Translation: Future satellites, space drones, and autonomous spacecraft need onboard AI. $OSS = the computing core of autonomous space systems. BONUS: CIVILIAN & COMMERCIAL $OSS systems are used in: • autonomous trucking and farming • industrial automation • healthcare imaging • energy and mining • telecom and 5G Example:A medical imaging company uses $OSS hardware to run real-time AI diagnostics in next-gen breast cancer scanners. $OSS = AI where milliseconds matter. 4) Who their customers are (pattern, not names) $OSS sells to: • defense primes • government programs • industrial OEMs • AI infrastructure companies • medical device manufacturers These customers share one trait: They cannot rely on the cloud. That’s why $OSS exists. 5) The mental model that makes $OSS obvious $NVDA = AI chips $PLTR = AI software $OSS = AI hardware in the real world If AI is electricity, $OSS builds the generators that work in storms. Most investors understand AI software. Few understand AI infrastructure at the edge. That gap is the opportunity. 6) The real thesis The world is moving toward: • autonomous warfare • autonomous vehicles • real-time AI systems • distributed intelligence All of that requires rugged edge computing. $OSS is positioned exactly there. Infrastructure. The hardest layer to build. And often the most valuable.

🚨$OSS is not an AI company. → It is the hardware that lets AI exist where the cloud cannot. Most investors don’t understand $OSS because they think AI = software. $OSS builds the physical “brains” that run AI in extreme environments where cloud computing fails. Jets. Ships. Tanks. Drones. Space. Hospitals. That’s the game. 1) What $OSS actually is $OSS (One Stop Systems) designs rugged high-performance computers and storage systems for AI at the edge. Meaning: They bring data-center-level computing power into harsh environments. Their products include rugged servers, GPU accelerators, storage arrays, and expansion systems used for AI, sensor processing, and autonomous systems. In simple terms: Cloud AI = brain in a safe building. $OSS AI = brain inside machines operating in chaos. 2) Why this is crucial Most AI today runs in data centers. But the future of AI is not in the cloud. It’s on: • autonomous vehicles • military systems • drones • ships • industrial machines • medical devices These systems cannot wait for the cloud. Latency, connectivity, security, and survival demand local AI. $OSS delivers “data-center performance at the edge” across land, sea, and air. Without companies like OSS, autonomous systems simply don’t work. 3) What OSS actually does: Think of OSS as building AI engines that survive reality. 🌊 SEA example: naval surveillance aircraft and ships. $OSS supplies rugged storage and compute systems for U.S. Navy reconnaissance aircraft to collect and process massive sensor data in real time. Translation: Instead of sending raw data back to base, the aircraft analyzes threats instantly onboard. $OSS = the onboard AI brain. 🪖 LAND example: military vehicles and tactical operations. $OSS delivers high-performance servers and FPGA systems for mobile military intelligence platforms used by the U.S. Department of Defense. Translation: Tanks and vehicles detect threats, process sensor data, and make decisions locally. $OSS = the battlefield computer. ✈️ AIR example: airborne AI. $OSS builds GPU-accelerated servers designed for aircraft, described as a “datacenter in the sky.” Translation: Jets and drones run AI models mid-flight. $OSS = flying supercomputers. 🚀 SPACE example: $OSS hardware is designed for extreme environments and autonomous systems across aerospace and defense. Translation: Future satellites, space drones, and autonomous spacecraft need onboard AI. $OSS = the computing core of autonomous space systems. BONUS: CIVILIAN & COMMERCIAL $OSS systems are used in: • autonomous trucking and farming • industrial automation • healthcare imaging • energy and mining • telecom and 5G Example:A medical imaging company uses $OSS hardware to run real-time AI diagnostics in next-gen breast cancer scanners. $OSS = AI where milliseconds matter. 4) Who their customers are (pattern, not names) $OSS sells to: • defense primes • government programs • industrial OEMs • AI infrastructure companies • medical device manufacturers These customers share one trait: They cannot rely on the cloud. That’s why $OSS exists. 5) The mental model that makes $OSS obvious $NVDA = AI chips $PLTR = AI software $OSS = AI hardware in the real world If AI is electricity, $OSS builds the generators that work in storms. Most investors understand AI software. Few understand AI infrastructure at the edge. That gap is the opportunity. 6) The real thesis The world is moving toward: • autonomous warfare • autonomous vehicles • real-time AI systems • distributed intelligence All of that requires rugged edge computing. $OSS is positioned exactly there. Infrastructure. The hardest layer to build. And often the most valuable.

Black Panther Capital

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The blockchain story is getting more complicated and more realistic. Institutions aren’t excited about speculation. They care about security, control, and certainty. That’s why the conversation has shifted to private blockchains and quantum security. Nothing is guaranteed to win forever, not even Ethereum. Blockchain is just a tool. The real opportunity now is infrastructure: power, data centers, compute, and the systems that make AI and digital payments possible. That’s where serious capital is moving and that’s where I’m focused.

The blockchain story is getting more complicated and more realistic. Institutions aren’t excited about speculation. They care about security, control, and certainty. That’s why the conversation has shifted to private blockchains and quantum security. Nothing is guaranteed to win forever, not even Ethereum. Blockchain is just a tool. The real opportunity now is infrastructure: power, data centers, compute, and the systems that make AI and digital payments possible. That’s where serious capital is moving and that’s where I’m focused.

Kevin O'Leary aka Mr. Wonderful

52,574 görüntüleme • 6 ay önce

AI agents won’t walk into a bank and open a traditional account. They need digital money. They need crypto. Dan Morehead: As agentic finance accelerates, crypto becomes essential infrastructure. There is no important future for AI in which crypto is not a core part. That’s why cryptocurrency itself serves as a powerful hedge and tangential play on the rise of AI agents. Alchemy

AI agents won’t walk into a bank and open a traditional account. They need digital money. They need crypto. Dan Morehead: As agentic finance accelerates, crypto becomes essential infrastructure. There is no important future for AI in which crypto is not a core part. That’s why cryptocurrency itself serves as a powerful hedge and tangential play on the rise of AI agents. Alchemy

Pantera Capital

11,762 görüntüleme • 2 ay önce

⚙️ Why do most #Web3 applications disappear after a few years? #PermawebDAO is solving that at the root — building a next-generation application ecosystem on #Arweave where data, content, markets, and governance are designed to survive technological cycles. ✔️Permanent data infrastructure ✔️Transparent, long-lived trading systems ✔️Permacast — Web3’s durable media layer ✔️AI-assisted, fully traceable governance Composable. Interoperable. Permanent. This is Web3 built for decades — not hype cycles. Welcome to PermawebDAO.

⚙️ Why do most #Web3 applications disappear after a few years? #PermawebDAO is solving that at the root — building a next-generation application ecosystem on #Arweave where data, content, markets, and governance are designed to survive technological cycles. ✔️Permanent data infrastructure ✔️Transparent, long-lived trading systems ✔️Permacast — Web3’s durable media layer ✔️AI-assisted, fully traceable governance Composable. Interoperable. Permanent. This is Web3 built for decades — not hype cycles. Welcome to PermawebDAO.

PermawebDAO

15,591 görüntüleme • 8 ay önce

Why I’m bullish on AI in 2026 2026 feels like the year AI becomes impossible to ignore. Not because of better chatbots, but because AI starts doing real work. Agents will run tasks end to end, humanoid robots will actually work in factories, and suddenly the labor market feels very different. That’s when the disbelief fades. Demis Hassabis basically confirmed it: reliable agentic systems, a real robotics push, useful on-device assistants, and world models that let AI plan in the real world. That combo is explosive. Once people see robots on factory floors and AI agents quietly replacing office tasks, the conversation changes. AI stops being hype and starts being reality. That’s why 2026 matters

Why I’m bullish on AI in 2026 2026 feels like the year AI becomes impossible to ignore. Not because of better chatbots, but because AI starts doing real work. Agents will run tasks end to end, humanoid robots will actually work in factories, and suddenly the labor market feels very different. That’s when the disbelief fades. Demis Hassabis basically confirmed it: reliable agentic systems, a real robotics push, useful on-device assistants, and world models that let AI plan in the real world. That combo is explosive. Once people see robots on factory floors and AI agents quietly replacing office tasks, the conversation changes. AI stops being hype and starts being reality. That’s why 2026 matters

VraserX e/acc

13,939 görüntüleme • 7 ay önce

For 20 years, marketing meant winning a click on a list of Google results. That era is ending. AI systems now read the options for your customers, weigh the sources, and hand back a verdict that names only two or three businesses. In this video, I break down the trust signals AI is already using to decide who gets recommended, why most businesses are sending the wrong ones, and the reputation strategy I'm restructuring my entire approach around.

For 20 years, marketing meant winning a click on a list of Google results. That era is ending. AI systems now read the options for your customers, weigh the sources, and hand back a verdict that names only two or three businesses. In this video, I break down the trust signals AI is already using to decide who gets recommended, why most businesses are sending the wrong ones, and the reputation strategy I'm restructuring my entire approach around.

Neil Patel

13,138 görüntüleme • 11 gün önce

⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.

⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.

OptimAI Network

43,620 görüntüleme • 11 ay önce

Yann LeCun (Yann LeCun) just revealed why he left Meta, Why are LLMs an extremely narrow field, and how "World model" is the way to build really meaningful agentic future. 🎯 Beautiful and simple in 1.5 mints. "I can’t imagine we can build agentic systems without those systems having the ability to predict, in advance, what the consequences of their actions are going to be. The way we act in the world is that we can predict the consequences of our actions, and that’s what allows us to plan. So what is a world model? Given the state of an environment, a system you want to control at time t, and given an action or intervention you imagine taking, can you predict the state of the world (or the system) at time t + 1? If you can, that’s a world model. You don’t do this at a pixel level, if it’s video. You do this in an abstract representation space, and that’s a crucial key insight." --- From 'AI House Davos" YT channel (full link in comment)

Yann LeCun (Yann LeCun) just revealed why he left Meta, Why are LLMs an extremely narrow field, and how "World model" is the way to build really meaningful agentic future. 🎯 Beautiful and simple in 1.5 mints. "I can’t imagine we can build agentic systems without those systems having the ability to predict, in advance, what the consequences of their actions are going to be. The way we act in the world is that we can predict the consequences of our actions, and that’s what allows us to plan. So what is a world model? Given the state of an environment, a system you want to control at time t, and given an action or intervention you imagine taking, can you predict the state of the world (or the system) at time t + 1? If you can, that’s a world model. You don’t do this at a pixel level, if it’s video. You do this in an abstract representation space, and that’s a crucial key insight." --- From 'AI House Davos" YT channel (full link in comment)

Rohan Paul

383,490 görüntüleme • 6 ay önce

Do not spend 2 years learning AI agents the slow way Andrew Ng just shared a complete 2-hour roadmap On becoming an agentic AI engineer in 2026: 00:00 - Learn the foundations of AI agents 12:12 - Design agentic workflows 53:27 - Build agents that work in practice 1:20:30 - Create self-improving loops 1:30:19 - Orchestrate multi-agent systems Most people are still learning how to prompt one model Andrew Ng is already teaching the complete stack: Agents → Workflows → Loops → Multi-Agent Systems Prompting is the old workflow Building autonomous systems is the new one Anthropic pays top engineers up to $750K a year to understand this stack Bookmark this and give it two hours today Then read the full graph engineering guide below

Do not spend 2 years learning AI agents the slow way Andrew Ng just shared a complete 2-hour roadmap On becoming an agentic AI engineer in 2026: 00:00 - Learn the foundations of AI agents 12:12 - Design agentic workflows 53:27 - Build agents that work in practice 1:20:30 - Create self-improving loops 1:30:19 - Orchestrate multi-agent systems Most people are still learning how to prompt one model Andrew Ng is already teaching the complete stack: Agents → Workflows → Loops → Multi-Agent Systems Prompting is the old workflow Building autonomous systems is the new one Anthropic pays top engineers up to $750K a year to understand this stack Bookmark this and give it two hours today Then read the full graph engineering guide below

rari

56,677 görüntüleme • 7 gün önce

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀

Sky Wee

67,555 görüntüleme • 10 ay önce

Full Shard Podcast: Episode 13 - A New AI Dawn 2026 is not business as usual. In this episode of the Full Shard Podcast, Lucian and Beniamin Mincu are joined by VP of Business Development Daniel Serb to unpack a world shaped by accelerating AI, volatile markets, and structural resets across industries. They discuss the rise of agentic systems, the emergence of machine-to-machine commerce, and why settlement speed and scale suddenly matter in a way they didn’t before. From agentic payments and commerce protocols to the positioning of Supernova, the conversation centers on building future-proof infrastructure for a time where demand for it finally arises. A wide-angle conversation about what’s breaking, what’s emerging, and where the next wave may land. 00:00 - What's Happening in 2026 6:13 - The Events Shaping the World 11:53 - Blockchain & AI Symbiosis 25:50 - Agentic Payments 35:51 - What Will be Built Next 50:10 - Mind-blowing Predictions 57:31 - Supernova in 5 Years 1:03:28 - Staying Alive

Full Shard Podcast: Episode 13 - A New AI Dawn 2026 is not business as usual. In this episode of the Full Shard Podcast, Lucian and Beniamin Mincu are joined by VP of Business Development Daniel Serb to unpack a world shaped by accelerating AI, volatile markets, and structural resets across industries. They discuss the rise of agentic systems, the emergence of machine-to-machine commerce, and why settlement speed and scale suddenly matter in a way they didn’t before. From agentic payments and commerce protocols to the positioning of Supernova, the conversation centers on building future-proof infrastructure for a time where demand for it finally arises. A wide-angle conversation about what’s breaking, what’s emerging, and where the next wave may land. 00:00 - What's Happening in 2026 6:13 - The Events Shaping the World 11:53 - Blockchain & AI Symbiosis 25:50 - Agentic Payments 35:51 - What Will be Built Next 50:10 - Mind-blowing Predictions 57:31 - Supernova in 5 Years 1:03:28 - Staying Alive

Full Shard Podcast

33,519 görüntüleme • 5 ay önce

At the #PIF_PrivateSectorForum, I unveiled the first public preview of HUMAIN OS, our agentic AI operating system designed to redefine how humans interact with machines. For decades, operating systems were built on legacy architectures and icon-driven interfaces. As a major innovation coming out of Saudi Arabia, #HUMAINOS changes that. Check out the video below and take a peek into HUMAIN OS, launching at LEAP in April.

At the #PIF_PrivateSectorForum, I unveiled the first public preview of HUMAIN OS, our agentic AI operating system designed to redefine how humans interact with machines. For decades, operating systems were built on legacy architectures and icon-driven interfaces. As a major innovation coming out of Saudi Arabia, #HUMAINOS changes that. Check out the video below and take a peek into HUMAIN OS, launching at LEAP in April.

Tareq Amin

21,939 görüntüleme • 6 ay önce

India's First IIT goes online! IIT Kharagpur ushers in a new era of digital learning with the launch of its first fully online programme: Executive Post Graduate Certificate (EPGC) in Generative AI & Agentic AI. Designed at the forefront of technological transformation, this programme brings the academic depth and research excellence of IIT Kharagpur directly to ambitious professionals worldwide. Programme Highlights: • 100% faculty-led by IIT Kharagpur CSE & AI professors • No outsourced instruction — direct mentorship from institute faculty • Hands-on learning to build and deploy production-grade AI systems • Research-driven curriculum aligned with evolving industry needs • On-campus graduation ceremony with Executive Alumni Status From foundational theory to real-world deployment, the EPGC in Generative AI & Agentic AI is crafted for leaders who aspire to shape the future of intelligent systems. Be part of the legacy. Lead the AI revolution. Apply now: #IITKharagpur #IndiasFirstIIT #IITKGPOnline #EPGC #GenerativeAI #AgenticAI #ArtificialIntelligence #AILeadership #ExecutiveEducation #FutureOfAI #AIInnovation #LifelongLearning #TechLeadership #DigitalTransformation upGrad

India's First IIT goes online! IIT Kharagpur ushers in a new era of digital learning with the launch of its first fully online programme: Executive Post Graduate Certificate (EPGC) in Generative AI & Agentic AI. Designed at the forefront of technological transformation, this programme brings the academic depth and research excellence of IIT Kharagpur directly to ambitious professionals worldwide. Programme Highlights: • 100% faculty-led by IIT Kharagpur CSE & AI professors • No outsourced instruction — direct mentorship from institute faculty • Hands-on learning to build and deploy production-grade AI systems • Research-driven curriculum aligned with evolving industry needs • On-campus graduation ceremony with Executive Alumni Status From foundational theory to real-world deployment, the EPGC in Generative AI & Agentic AI is crafted for leaders who aspire to shape the future of intelligent systems. Be part of the legacy. Lead the AI revolution. Apply now: #IITKharagpur #IndiasFirstIIT #IITKGPOnline #EPGC #GenerativeAI #AgenticAI #ArtificialIntelligence #AILeadership #ExecutiveEducation #FutureOfAI #AIInnovation #LifelongLearning #TechLeadership #DigitalTransformation upGrad

IIT Kharagpur

66,178 görüntüleme • 5 ay önce

History explains what’s happening now. Admiral Isoroku Yamamoto warned Japan that you can’t compel America to stop unless you can attack its infrastructure—because ships can be rebuilt, but systems decide wars. That lesson matters today. You don’t defeat the U.S. with bullets; you try to paralyze it internally. That’s why reports that DHS and ICE are seizing phones from organizers in Minneapolis matter. Infrastructure isn’t just bridges and factories anymore—it’s networks, funding, coordination, and command. When federal agents collect devices, map communications, and follow money through NGOs, that’s not “crackdown.” It’s lawful counter-infrastructure enforcement. You don’t restore order by arguing with mobs. You restore it by dismantling the systems behind them—legally, methodically, and upstream. That’s how a republic defends itself without becoming what it fights. WATCH FULL SHOW:

History explains what’s happening now. Admiral Isoroku Yamamoto warned Japan that you can’t compel America to stop unless you can attack its infrastructure—because ships can be rebuilt, but systems decide wars. That lesson matters today. You don’t defeat the U.S. with bullets; you try to paralyze it internally. That’s why reports that DHS and ICE are seizing phones from organizers in Minneapolis matter. Infrastructure isn’t just bridges and factories anymore—it’s networks, funding, coordination, and command. When federal agents collect devices, map communications, and follow money through NGOs, that’s not “crackdown.” It’s lawful counter-infrastructure enforcement. You don’t restore order by arguing with mobs. You restore it by dismantling the systems behind them—legally, methodically, and upstream. That’s how a republic defends itself without becoming what it fights. WATCH FULL SHOW:

Andrew Branca Show

83,653 görüntüleme • 6 ay önce