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 needs data to grow. But accessing high-quality datasets is becoming harder than ever. · Data collection is increasingly centralized in the hands of a few large players. · Platforms are locking content behind expensive APIs and private data deals. · Specialized datasets (medical, legal, code) can cost 20–40×... show more

Perceptron Network

253,591 subscribers

73,709 次观看 • 3 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

AI runs on data. Your data. Tech giants scrape the internet, collect user interactions, and buy datasets to train their models. Now, platforms are charging companies to access the data you created. It doesn't have to be this way. Join the data revolution. Own your data, own your impact.

AI runs on data. Your data. Tech giants scrape the internet, collect user interactions, and buy datasets to train their models. Now, platforms are charging companies to access the data you created. It doesn't have to be this way. Join the data revolution. Own your data, own your impact.

vana

37,798 次观看 • 1 年前

💡Data Scraping vs. Data Mining: Understanding the Difference Ever wondered why OptimAI Network emphasizes Data Mining over simple web scraping? Here’s why: 🔹Web Scraping is surface-level, capturing raw data from websites without context, validation, or depth. 🔹Data Mining, however, is a deeper, intelligent process—extracting, analyzing, validating, and refining data into structured insights essential for advanced AI models. 💫 Why OptimAI Focuses on Data Mining? OptimAI's decentralized nodes don’t just collect data—they actively validate, annotate, and refine it. By leveraging collective human intelligence, edge computing, and autonomous AI agents, we deliver the high-quality, real-world data necessary for powering sophisticated AI. 💫 Why It Matters—and Why You Should Join Now Participate now via our OptimAI Lite Node, and become a foundational part of building the most comprehensive decentralized Reinforcement Data Network for Agentic AI. Mine data, fuel innovation, and earn OPI rewards. 👉 Chrome Extension Node: 👉 Telegram Node: Together, let's redefine data for #DePIN #AI.

💡Data Scraping vs. Data Mining: Understanding the Difference Ever wondered why OptimAI Network emphasizes Data Mining over simple web scraping? Here’s why: 🔹Web Scraping is surface-level, capturing raw data from websites without context, validation, or depth. 🔹Data Mining, however, is a deeper, intelligent process—extracting, analyzing, validating, and refining data into structured insights essential for advanced AI models. 💫 Why OptimAI Focuses on Data Mining? OptimAI's decentralized nodes don’t just collect data—they actively validate, annotate, and refine it. By leveraging collective human intelligence, edge computing, and autonomous AI agents, we deliver the high-quality, real-world data necessary for powering sophisticated AI. 💫 Why It Matters—and Why You Should Join Now Participate now via our OptimAI Lite Node, and become a foundational part of building the most comprehensive decentralized Reinforcement Data Network for Agentic AI. Mine data, fuel innovation, and earn OPI rewards. 👉 Chrome Extension Node: 👉 Telegram Node: Together, let's redefine data for #DePIN #AI.

OptimAI Network

51,080 次观看 • 1 年前

How can we address the scarcity of data required for specialized AI? Learn about Simula, a framework that reframes synthetic data generation as dataset-level mechanism design. By using reasoning to architect datasets from first principles, Simula enables fine-grained control over coverage, complexity, and quality. More →

How can we address the scarcity of data required for specialized AI? Learn about Simula, a framework that reframes synthetic data generation as dataset-level mechanism design. By using reasoning to architect datasets from first principles, Simula enables fine-grained control over coverage, complexity, and quality. More →

Google Research

142,219 次观看 • 2 个月前

Imagine this: Data is the lifeblood of AI. No matter how advanced, AI is only as good as the data it learns from. The catch? Most AI runs on outdated, biased, or limited data—like trying to win a marathon in flip-flops. 💡The problem isn’t AI itself—it’s how data is collected, processed & controlled by a few big players. OptimAI Network flips the script! 🔹No centralized silos 🔹No intrusive scraping 🔹A decentralized ecosystem where you power AI’s future Read more:

Imagine this: Data is the lifeblood of AI. No matter how advanced, AI is only as good as the data it learns from. The catch? Most AI runs on outdated, biased, or limited data—like trying to win a marathon in flip-flops. 💡The problem isn’t AI itself—it’s how data is collected, processed & controlled by a few big players. OptimAI Network flips the script! 🔹No centralized silos 🔹No intrusive scraping 🔹A decentralized ecosystem where you power AI’s future Read more:

OptimAI Network

91,972 次观看 • 1 年前

Exciting news from HYPE3.cool! We’re teaming up with Chainbase (💜,💛), the world’s largest omnichain data network to supercharge AI agents with robust on-chain data. Very soon, users will be able to integrate real-time blockchain insights when configuring their agents—making them smarter and more capable than ever! What this means: - Real-time on-chain data for enhanced decision-making - Greater agent intelligence powered by advanced data analytics - Seamless blockchain integration backed by Chainbase (💜,💛)’s decentralized infrastructure About Chainbase: Chainbase is the world’s largest omnichain data network built to power the AI economy with high-quality on-chain data. Through its innovative four-layer, dual-consensus architecture, Chainbase’s network, anchored by Chainbase AVS, provides secure, interoperable data for AI and Web3. Your AI agents can now tap into rich, reliable on-chain insights—paving the way for more dynamic and intelligent interactions. This is just the start of making AI agents truly Web3-native. Stay tuned as we build the future of intelligent property in partnership with Chainbase (💜,💛)! #Web3 #AI #Blockchain

Exciting news from HYPE3.cool! We’re teaming up with Chainbase (💜,💛), the world’s largest omnichain data network to supercharge AI agents with robust on-chain data. Very soon, users will be able to integrate real-time blockchain insights when configuring their agents—making them smarter and more capable than ever! What this means: - Real-time on-chain data for enhanced decision-making - Greater agent intelligence powered by advanced data analytics - Seamless blockchain integration backed by Chainbase (💜,💛)’s decentralized infrastructure About Chainbase: Chainbase is the world’s largest omnichain data network built to power the AI economy with high-quality on-chain data. Through its innovative four-layer, dual-consensus architecture, Chainbase’s network, anchored by Chainbase AVS, provides secure, interoperable data for AI and Web3. Your AI agents can now tap into rich, reliable on-chain insights—paving the way for more dynamic and intelligent interactions. This is just the start of making AI agents truly Web3-native. Stay tuned as we build the future of intelligent property in partnership with Chainbase (💜,💛)! #Web3 #AI #Blockchain

HYPE3.cool

17,700 次观看 • 1 年前

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

Santiago

171,340 次观看 • 1 年前

ELON MUSK: The future of AI data centers is space and sooner than you’d think. Mark my words… in 36 months the most economically compelling place to put AI will be space. JENSEN HUANG: The amount of energy that we need for computing is probably 1,000x more than we currently have. JEFF BEZOS: The idea of data centers in space is very realistic. Data centers in space will happen. SAM ALTMAN: No. —— Sam Altman is getting too comfortable after taking OpenAI from Elon, forgetting that in the end, the ones who control the infrastructure, data centers and energy, will decide the future of AI.

ELON MUSK: The future of AI data centers is space and sooner than you’d think. Mark my words… in 36 months the most economically compelling place to put AI will be space. JENSEN HUANG: The amount of energy that we need for computing is probably 1,000x more than we currently have. JEFF BEZOS: The idea of data centers in space is very realistic. Data centers in space will happen. SAM ALTMAN: No. —— Sam Altman is getting too comfortable after taking OpenAI from Elon, forgetting that in the end, the ones who control the infrastructure, data centers and energy, will decide the future of AI.

Kekius Maximus

10,386 次观看 • 1 个月前

Get Ready, OptimAI Lite Node Drops Soon! The revolution of AI Agents is YOURS to power. Mine data, fuel AI, and stack rewards—100% decentralized. What’s in it for YOU? 🔸Scrape killer #AI training data from the web Validate models with smarts + AI precision 🔸Run next-gen AI #DePIN tasks from your device 🔸Be the heartbeat of the AI future. Launch is this close—don’t sleep on it! Dive in:

Get Ready, OptimAI Lite Node Drops Soon! The revolution of AI Agents is YOURS to power. Mine data, fuel AI, and stack rewards—100% decentralized. What’s in it for YOU? 🔸Scrape killer #AI training data from the web Validate models with smarts + AI precision 🔸Run next-gen AI #DePIN tasks from your device 🔸Be the heartbeat of the AI future. Launch is this close—don’t sleep on it! Dive in:

OptimAI Network

39,982 次观看 • 1 年前

Across the open web, vast unstructured data is generated 24/7. From text and images to videos and streams. In a world of AI agents that create content or analyze markets, nearly all depend on one essential ingredient: fresh, live, unfiltered data from the open web. Teneo Protocol delivers exactly that. Provides the infrastructure others build on.

Across the open web, vast unstructured data is generated 24/7. From text and images to videos and streams. In a world of AI agents that create content or analyze markets, nearly all depend on one essential ingredient: fresh, live, unfiltered data from the open web. Teneo Protocol delivers exactly that. Provides the infrastructure others build on.

Teneo Protocol

78,769 次观看 • 9 个月前

I am posting after a Long Time on Twitter, but its to announce a big change. I have started and we are Collecting Egocentric Data at Scale from India, Covering 300 + Commercial Locations 1500 + Households This is the network and base we have built in just past 2 months, as the Robotics companies, VLMs and World Models increase their requirements on Real World Data collection, Human Loops will be keep scaling out capacity. We are on track to collect 1M Hours of Egocentric in the coming 6 months for our clients exclusively. We are maintaining 95% Quality standards across industrial data and running a End - End Operational Management complying all Indian Laws and compensating our partners/operators. (From Environment sourcing, to hardware, Legal contracts, deployment, training, collection, processing) Check our Samples: - Commercial Videos -- Household Videos --- Multimodel ---- Egocentric + Live Audio Narration Links : On the Journey to become #1 India Physical AI Data Partner. We are also building our capacity as annotation and labelling partner for data companies to become end-end partner for companies. A big change from the world of crypto and web3 but physical AI and data space is where i want to build my next venture #Egocentric #EgocentricIndia #PhysicalAI #Robotics #India #AIdata #data #Multimodeldata #worldmodels #VLMs #Humanloops #Egocentridata #Multimodeldata

I am posting after a Long Time on Twitter, but its to announce a big change. I have started and we are Collecting Egocentric Data at Scale from India, Covering 300 + Commercial Locations 1500 + Households This is the network and base we have built in just past 2 months, as the Robotics companies, VLMs and World Models increase their requirements on Real World Data collection, Human Loops will be keep scaling out capacity. We are on track to collect 1M Hours of Egocentric in the coming 6 months for our clients exclusively. We are maintaining 95% Quality standards across industrial data and running a End - End Operational Management complying all Indian Laws and compensating our partners/operators. (From Environment sourcing, to hardware, Legal contracts, deployment, training, collection, processing) Check our Samples: - Commercial Videos -- Household Videos --- Multimodel ---- Egocentric + Live Audio Narration Links : On the Journey to become #1 India Physical AI Data Partner. We are also building our capacity as annotation and labelling partner for data companies to become end-end partner for companies. A big change from the world of crypto and web3 but physical AI and data space is where i want to build my next venture #Egocentric #EgocentricIndia #PhysicalAI #Robotics #India #AIdata #data #Multimodeldata #worldmodels #VLMs #Humanloops #Egocentridata #Multimodeldata

Shloak

27,867 次观看 • 1 个月前

Laika AI x Nuklai Excited to announce our partnership with Nuklai Nuklai is an innovative data ecosystem that will fuel the next generation of AI and Large Language Models (LLMs). Together, we're revolutionizing on-chain data accessibility and monetization. By combining Laika AI's blockchain analytics with Nuklai's ecosystem, we're creating new opportunities for data utilization powered by $LKI.

Laika AI x Nuklai Excited to announce our partnership with Nuklai Nuklai is an innovative data ecosystem that will fuel the next generation of AI and Large Language Models (LLMs). Together, we're revolutionizing on-chain data accessibility and monetization. By combining Laika AI's blockchain analytics with Nuklai's ecosystem, we're creating new opportunities for data utilization powered by $LKI.

Laika AI

29,901 次观看 • 1 年前

At Open AGI, our CEO Ahmed Rashad shared why trust is the new compute. AI is moving from generating content to making life-or-death decisions — medical diagnoses, autonomous vehicles, military systems. If the training data is wrong, the decisions are wrong. Meanwhile, models are increasingly trained on synthetic outputs, creating feedback loops that degrade quality. Data supply chains are opaque. Adversarial attacks are real. The next AI race won’t be won by bigger models. It will be won by those who control and verify the data layer. Perle Labs is building the sovereign, human-verified, on-chain auditable infrastructure high-stakes AI requires. Trust wins the AI race. Thank you Sentient for having us! No better way to end off our time at ETHDenver 🏔🦬🦄. Until next time 🫡

At Open AGI, our CEO Ahmed Rashad shared why trust is the new compute. AI is moving from generating content to making life-or-death decisions — medical diagnoses, autonomous vehicles, military systems. If the training data is wrong, the decisions are wrong. Meanwhile, models are increasingly trained on synthetic outputs, creating feedback loops that degrade quality. Data supply chains are opaque. Adversarial attacks are real. The next AI race won’t be won by bigger models. It will be won by those who control and verify the data layer. Perle Labs is building the sovereign, human-verified, on-chain auditable infrastructure high-stakes AI requires. Trust wins the AI race. Thank you Sentient for having us! No better way to end off our time at ETHDenver 🏔🦬🦄. Until next time 🫡

Perle Labs

29,619 次观看 • 4 个月前

Something big is happening in robotics - and it’s hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, Hugging Face datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include NVIDIA, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from AI World - link to the story and more viz/filters in comment.

Something big is happening in robotics - and it’s hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, Hugging Face datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include NVIDIA, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from AI World - link to the story and more viz/filters in comment.

Pierre-Alexandre Balland

185,895 次观看 • 6 个月前

🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.

🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.

Bernard Marr

10,980 次观看 • 10 个月前

The internet is evolving - are you ready? 🌐⚡ At SUI DePIN, your data isn’t just collected - it’s owned by you. Monetize it. Secure it. Power the next generation of AI on the Sui! ✅ Own your data ✅ Earn real rewards ✅ Fuel AI innovation No middlemen. No limits. Just you and your data. Step into the future today 👉

The internet is evolving - are you ready? 🌐⚡ At SUI DePIN, your data isn’t just collected - it’s owned by you. Monetize it. Secure it. Power the next generation of AI on the Sui! ✅ Own your data ✅ Earn real rewards ✅ Fuel AI innovation No middlemen. No limits. Just you and your data. Step into the future today 👉

Sui DePIN

30,317 次观看 • 1 年前

🟢OCY DePIN is Live - The AI Data Storage DePIN and the Data Module of our infrastructure. After a year+ of hard work, 2.5M community nodes validated, reaching 5 exabytes of data spaces - we are excited to present OCY. 🟩This is a major step towards the Age of AI, unlocking agentic and ai use-cases requiring secure, ai-native, decentralized data infrastructure. OCY will be used within all over modules in the Rivalz Abstraction Layer going forward. Soon we will be announcing a Hackathon for builders to elevate OCY to a new level. Develop Docs - Developer Console -

🟢OCY DePIN is Live - The AI Data Storage DePIN and the Data Module of our infrastructure. After a year+ of hard work, 2.5M community nodes validated, reaching 5 exabytes of data spaces - we are excited to present OCY. 🟩This is a major step towards the Age of AI, unlocking agentic and ai use-cases requiring secure, ai-native, decentralized data infrastructure. OCY will be used within all over modules in the Rivalz Abstraction Layer going forward. Soon we will be announcing a Hackathon for builders to elevate OCY to a new level. Develop Docs - Developer Console -

Rivalz Network

135,019 次观看 • 1 年前

Introducing Grayscale Space and Time Trust $SXT 🪐 , backed by M12 - Microsoft's Venture Fund and integrated with Microsoft Fabric*, connects the power of decentralized blockchains with the speed and flexibility of traditional databases through: 🏢 Enterprise-Readiness: Backed by Microsoft and integrated into Microsoft Fabric*, allowing developers to easily access data from networks like #Bitcoin, Sui, and #Ethereum. 🖊️ Proof of SQL: Verifies queries on tamperproof data using zero-knowledge proofs without needing to rerun or reveal underlying data. ⏳ Decentralized + Scalable: Blends blockchain security with traditional database speed and accessibility for reliable, real-time data access. ✅ Verifiable Data: As we enter the new age of AI, transparency is paramount. Space and Time enables verifiable data, helping ensure we can trust the datasets that power AI systems and smart contract applications. See important disclosures and learn more about the Grayscale Space and Time Trust: *Source: Space and Time press release, May 20, 2025.

Introducing Grayscale Space and Time Trust $SXT 🪐 , backed by M12 - Microsoft's Venture Fund and integrated with Microsoft Fabric, connects the power of decentralized blockchains with the speed and flexibility of traditional databases through: 🏢 Enterprise-Readiness: Backed by Microsoft and integrated into Microsoft Fabric, allowing developers to easily access data from networks like #Bitcoin, Sui, and #Ethereum. 🖊️ Proof of SQL: Verifies queries on tamperproof data using zero-knowledge proofs without needing to rerun or reveal underlying data. ⏳ Decentralized + Scalable: Blends blockchain security with traditional database speed and accessibility for reliable, real-time data access. ✅ Verifiable Data: As we enter the new age of AI, transparency is paramount. Space and Time enables verifiable data, helping ensure we can trust the datasets that power AI systems and smart contract applications. See important disclosures and learn more about the Grayscale Space and Time Trust: *Source: Space and Time press release, May 20, 2025.

Grayscale

81,565 次观看 • 1 年前

🚀The world’s first AI 2 Earn data asset integration platform 🚀 is now LIVE ！❤️‍🔥 A next-level dynamic data display method🔥 Supercharged by blockchain and AI technology for rapid growth Meanwhile Solace.ai🪼🪼 is currently one of the most practical applications in the AI ecosystem with the fastest-growing user base 💥⚡️ 💡holding an exclusive and leading position in the DATA segment. 🌈 The product ecosystem includes: ☝️AI Cluster⚡️ ☝️Data Trade⚡️ ☝️Digital Avatar⚡️ With Web3 AI2Earn🌟🌟 💡Redefining everything you thought you knew about digitalization!🥳 Embark on the journey of data monetization and forge your digital future! 💖 Binance OKX Gate.io

Solace.ai🪼🪼

16,622 次观看 • 1 年前

🚨 THE BIGGEST BOTTLENECK IN AI ISN'T COMPUTING POWER ANYMORE IT'S MOVING DATA. Instead of laying new cables, Chinese researchers have upgraded existing fiber infrastructure by doing two things at once: Using three wavelength bands (C + L + S) instead of the usual two. Using four cores inside each fiber instead of one. Each core acts like an independent highway, and each band acts like an extra lane on that highway. Together, they’ve reportedly increased transmission capacity per core by nearly 50% and overall data throughput by up to 5×. This matters enormously for AI. Modern AI clusters move terabits of data per second between thousands of GPUs. The biggest bottleneck is often not the chips themselves, but moving data fast enough between them. If you can push 5× more data through the same physical cables, you can train bigger models faster and reduce network congestion. Why this is significant: • It shows multi-core + extended spectrum technology moving from labs into real-world commercial use • The system has already run over 35 km of existing telecom network • It could be especially useful for submarine cables and large-scale data center interconnects • China is also eyeing it for its “Eastern Data, Western Computing” project The deeper implication: We’re reaching the physical limits of how much data we can push through single-core fibers using traditional methods. By combining spatial multiplexing (multiple cores) with spectral multiplexing (more wavelength bands), engineers are finding new ways to keep scaling bandwidth without having to dig up the planet to lay new cables. This kind of breakthrough is quiet but foundational it’s the kind of infrastructure upgrade that will determine how fast AI and cloud computing can actually grow in the coming years. The future of data movement might not require more cables. It might just require smarter ones. How important do you think multi-core and multi-band fiber will be for keeping up with AI’s exploding data demands? Follow for more frontier networking, photonics, and infrastructure technology.

🚨 THE BIGGEST BOTTLENECK IN AI ISN'T COMPUTING POWER ANYMORE IT'S MOVING DATA. Instead of laying new cables, Chinese researchers have upgraded existing fiber infrastructure by doing two things at once: Using three wavelength bands (C + L + S) instead of the usual two. Using four cores inside each fiber instead of one. Each core acts like an independent highway, and each band acts like an extra lane on that highway. Together, they’ve reportedly increased transmission capacity per core by nearly 50% and overall data throughput by up to 5×. This matters enormously for AI. Modern AI clusters move terabits of data per second between thousands of GPUs. The biggest bottleneck is often not the chips themselves, but moving data fast enough between them. If you can push 5× more data through the same physical cables, you can train bigger models faster and reduce network congestion. Why this is significant: • It shows multi-core + extended spectrum technology moving from labs into real-world commercial use • The system has already run over 35 km of existing telecom network • It could be especially useful for submarine cables and large-scale data center interconnects • China is also eyeing it for its “Eastern Data, Western Computing” project The deeper implication: We’re reaching the physical limits of how much data we can push through single-core fibers using traditional methods. By combining spatial multiplexing (multiple cores) with spectral multiplexing (more wavelength bands), engineers are finding new ways to keep scaling bandwidth without having to dig up the planet to lay new cables. This kind of breakthrough is quiet but foundational it’s the kind of infrastructure upgrade that will determine how fast AI and cloud computing can actually grow in the coming years. The future of data movement might not require more cables. It might just require smarter ones. How important do you think multi-core and multi-band fiber will be for keeping up with AI’s exploding data demands? Follow for more frontier networking, photonics, and infrastructure technology.

TheNewPhysics

20,485 次观看 • 1 个月前