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Introducing Neural Capture Version 2 on CorOS 3.3.0 and NanOS 2.2.0 - available now! Neural Capture Version 2 is a new cloud-trained version of Neural Capture that delivers higher resolution, greater realism, and improved dynamic response. By shifting the training process to Cortex Cloud, Capture V2 uses a more...

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Neural DSP

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36,094 次观看 • 10 个月前 •via X (Twitter)

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⚙️Update Quick Video Review: GameSir Connect V1.14.4⚙️ GameSir Connect has just been updated to version V1.14.4. Over the past few updates, we have introduced many practical features to enhance your experience. Here is the video detailing all the highlights of the recent updates. We highly recommend that players visit the Microsoft Store to download the latest version from here: For details on the updates, please refer to the text below. ✅Feature 1 - Professional Tips and Explanation for Controller Settings. You can now hover your mouse over the ⓘ icon to access detailed explanations of controller terminology. These tips have been verified by the GameSir product team to ensure you can quickly, conveniently, and accurately understand the information you need. ✅Feature 2 - Enhanced Stick Customization: Expanded Curve & Calibration Settings Now, you can adjust the stick center point to fix any potential center offset after the controller has already been calibrated. In addition, you can now achieve more precise fine-tuning of the stick input curve by manually entering the coordinates for each point within a 100x100 coordinate system. Please be aware that when Zero Deadzone is enabled, it is normal for the center point to not return to absolute zero or for the data to fluctuate repeatedly. ✅Feature 3 - Support for in-app software updates and halved input latency We've now set up a dedicated server for GameSir Connect software updates. Now, you can update directly within the software. And through optimizations, the end-to-end latency for both the G7 Pro 8K PC and Tarantula 8K PC has now reached 0.25ms with the latest firmware. And only by using the latest software will you be able to receive the latest firmware updates.
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⚙️Update Quick Video Review: GameSir Connect V1.14.4⚙️ GameSir Connect has just been updated to version V1.14.4. Over the past few updates, we have introduced many practical features to enhance your experience. Here is the video detailing all the highlights of the recent updates. We highly recommend that players visit the Microsoft Store to download the latest version from here: For details on the updates, please refer to the text below. ✅Feature 1 - Professional Tips and Explanation for Controller Settings. You can now hover your mouse over the ⓘ icon to access detailed explanations of controller terminology. These tips have been verified by the GameSir product team to ensure you can quickly, conveniently, and accurately understand the information you need. ✅Feature 2 - Enhanced Stick Customization: Expanded Curve & Calibration Settings Now, you can adjust the stick center point to fix any potential center offset after the controller has already been calibrated. In addition, you can now achieve more precise fine-tuning of the stick input curve by manually entering the coordinates for each point within a 100x100 coordinate system. Please be aware that when Zero Deadzone is enabled, it is normal for the center point to not return to absolute zero or for the data to fluctuate repeatedly. ✅Feature 3 - Support for in-app software updates and halved input latency We've now set up a dedicated server for GameSir Connect software updates. Now, you can update directly within the software. And through optimizations, the end-to-end latency for both the G7 Pro 8K PC and Tarantula 8K PC has now reached 0.25ms with the latest firmware. And only by using the latest software will you be able to receive the latest firmware updates.

GameSir

29,311 次观看 • 2 个月前

⚙️ Running & Scaling a Business? The SMBash Operator Track is for You! ⚙️ Buying a business is one thing—running it efficiently and growing it profitably is another. At SMBash 2025, the Operator Track is packed with real-world insights from experienced SMB leaders to help you navigate the challenges of running and optimizing your business. 🔥 Operator Track Highlights: ✅ HoldCos & Structuring for Long-Term Growth – Chase Murdock & Palmer Higgins share insights on holding company strategy. Chase Murdock ✅ The Role of a CEO – Chris Koerner on leadership, decision-making, and scaling your team. Chris Koerner ✅ KPIs & Performance Tracking – Kaustubh Deo breaks down the numbers that drive business success. Kaustubh Deo - Guesswork Investing ✅ Deals Gone Wrong – Denisse & Evelin Montenegro share the hard lessons from challenging acquisitions. Denisse Montenegro Evelin Montenegro ✅ The Intentional Owner LIVE - Kaustubh Deo & Sam Rosati take the stage with their brand new podcast. Come watch as they speak with business owners who have been in the trenches of the real work of running a small business! ✅ Jeff Driskel - takes the stage again. This year, with more experience under his belt, he will be joining as a panelist. Jeff Driskel ✅ Insurance Essentials – Josh & Andy break down how to protect your business the right way. Josh Richman Andy Harbut 💡 Not an operator yet? No problem! All attendees can join ANY session—whether you're running a business or still searching for one. 📅 April 2-4, Dallas, TX 🎟️ Tickets are selling fast—secure yours today by heading to our website!
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⚙️ Running & Scaling a Business? The SMBash Operator Track is for You! ⚙️ Buying a business is one thing—running it efficiently and growing it profitably is another. At SMBash 2025, the Operator Track is packed with real-world insights from experienced SMB leaders to help you navigate the challenges of running and optimizing your business. 🔥 Operator Track Highlights: ✅ HoldCos & Structuring for Long-Term Growth – Chase Murdock & Palmer Higgins share insights on holding company strategy. Chase Murdock ✅ The Role of a CEO – Chris Koerner on leadership, decision-making, and scaling your team. Chris Koerner ✅ KPIs & Performance Tracking – Kaustubh Deo breaks down the numbers that drive business success. Kaustubh Deo - Guesswork Investing ✅ Deals Gone Wrong – Denisse & Evelin Montenegro share the hard lessons from challenging acquisitions. Denisse Montenegro Evelin Montenegro ✅ The Intentional Owner LIVE - Kaustubh Deo & Sam Rosati take the stage with their brand new podcast. Come watch as they speak with business owners who have been in the trenches of the real work of running a small business! ✅ Jeff Driskel - takes the stage again. This year, with more experience under his belt, he will be joining as a panelist. Jeff Driskel ✅ Insurance Essentials – Josh & Andy break down how to protect your business the right way. Josh Richman Andy Harbut 💡 Not an operator yet? No problem! All attendees can join ANY session—whether you're running a business or still searching for one. 📅 April 2-4, Dallas, TX 🎟️ Tickets are selling fast—secure yours today by heading to our website!

SMBash

14,613 次观看 • 1 年前

$FAME and #AICON Launcher are officially LIVE on Base!🔥 A chance to be part of something BIG–Participate in the #AICON revolution and experience the top-tier seamless experience with #FameAI 🔗 Time to celebrate this milestone together! 🌟 ----------------------------------------------------------- 🚨 Early Access to Fame AI-CON Launcher is Now Available on BASE! 🚨 With FameAI's #AICON Launcher, you can: ✨ Create your human-like AICON ✨ Publish your AI-CON's token on the market $FAME will be tokenized as the first tradable #AICON on our platform! ----------------------------------------------------------- 🔥Early access will be available for selected $FMC stakers🔥 Stakers can enjoy full features being rolled out in the coming weeks. Next up, opening to the public! $FMC stakers, stake now if you haven't already! 👉 ----------------------------------------------------------- 🟣 How Does #FameAI's #AICON Launcher Work? 💻 No coding required! Anyone can create their own #AICON 🔗 Launch your #AICON token—graduated AI-CON can trade on Base Uniswap v2 ⚙️ Fully customizable and highly autonomous How to acquire $FMC on Base ----------------------------------------------------------- 🟣 $FAME Token and FAME Framework This is built to simulate human-like interactions on social platforms. 🎨 Generates content: Images, text, videos 🤖 Reflects personality, knowledge, and mood 💰 Powered by $FAME token ✨ CA: 0xB8e23ab4A1762Fe8dABb844EcC66FEEE3725c480 🔗 Read more here 👉 ----------------------------------------------------------- 🟣 Fame Studio Fame Studio lets you: ✅ Create hyper-realistic human identities ✅ Generate images, audio, music, and even videos V2 Update Coming Soon– Expanded features for more engaging content—perfect for creators and innovators! #AIAgents $FMC #FameAI $FAME ----------------------------------------------------------- 🟣 #FameAI Roadmap for Q1 2025 🚀 Skill Marketplace: Co-create #AICON, utilizing $FMC as the native currency 🧠 AI-Agent Learning: Train agents to learn specific tones, personalities, and behaviors with one click 🎥 Live Streaming: Superhuman-like models for business or lifestyle-focused live streams
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$FAME and #AICON Launcher are officially LIVE on Base!🔥 A chance to be part of something BIG–Participate in the #AICON revolution and experience the top-tier seamless experience with #FameAI 🔗 Time to celebrate this milestone together! 🌟 ----------------------------------------------------------- 🚨 Early Access to Fame AI-CON Launcher is Now Available on BASE! 🚨 With FameAI's #AICON Launcher, you can: ✨ Create your human-like AICON ✨ Publish your AI-CON's token on the market $FAME will be tokenized as the first tradable #AICON on our platform! ----------------------------------------------------------- 🔥Early access will be available for selected $FMC stakers🔥 Stakers can enjoy full features being rolled out in the coming weeks. Next up, opening to the public! $FMC stakers, stake now if you haven't already! 👉 ----------------------------------------------------------- 🟣 How Does #FameAI's #AICON Launcher Work? 💻 No coding required! Anyone can create their own #AICON 🔗 Launch your #AICON token—graduated AI-CON can trade on Base Uniswap v2 ⚙️ Fully customizable and highly autonomous How to acquire $FMC on Base ----------------------------------------------------------- 🟣 $FAME Token and FAME Framework This is built to simulate human-like interactions on social platforms. 🎨 Generates content: Images, text, videos 🤖 Reflects personality, knowledge, and mood 💰 Powered by $FAME token ✨ CA: 0xB8e23ab4A1762Fe8dABb844EcC66FEEE3725c480 🔗 Read more here 👉 ----------------------------------------------------------- 🟣 Fame Studio Fame Studio lets you: ✅ Create hyper-realistic human identities ✅ Generate images, audio, music, and even videos V2 Update Coming Soon– Expanded features for more engaging content—perfect for creators and innovators! #AIAgents $FMC #FameAI $FAME ----------------------------------------------------------- 🟣 #FameAI Roadmap for Q1 2025 🚀 Skill Marketplace: Co-create #AICON, utilizing $FMC as the native currency 🧠 AI-Agent Learning: Train agents to learn specific tones, personalities, and behaviors with one click 🎥 Live Streaming: Superhuman-like models for business or lifestyle-focused live streams

Fame AI | The Home of AI Agent 2.0 - AI-CON

23,775 次观看 • 1 年前

What’s Left Before InterPredict Mainnet? 🟣🚀 InterPredict is getting closer to Mainnet but we are not rushing the process. ⏳ A successful Mainnet launch is about more than reaching a date on the calendar. It is about ensuring that the protocol, infrastructure and user experience are ready to operate reliably in a production environment. 🏗️🔐 Several important technical milestones have already been completed, while the remaining work is focused on integration, refinement and final preparation. 🛠️✅ ✅ Completed Milestones 1. Smart Contract Development and Testing 📜🔍 The smart contracts have been developed and tested, establishing the core on-chain foundation of the InterPredict protocol. This work is essential for ensuring that the protocol’s key functions operate as intended and can support the next stage of development. ⚙️⛓️ 2. Backend Deployment 🖥️🚀 The new backend infrastructure has been successfully deployed and is now running in a production environment. This provides the services required to support the platform and enables the frontend to communicate with the systems powering InterPredict. 🔗📡 3. Transaction and Activity Tracking 📊👀 Users can now clearly view the results of their interactions and monitor relevant activity within the platform. Improved visibility helps users better understand their transactions, actions and participation across the platform. ✅📈 4. Reliable Market Indexing 🗂️⛓️ Blockchain activity is being indexed consistently and reflected accurately within the application. Reliable indexing is important because it ensures that on-chain events, market updates and other protocol activity are displayed correctly for users. 🔄📍 5. Faster Data Synchronisation ⚡📡 The platform’s data synchronisation has been improved so that market states, votes, activities and other protocol information can be reflected in the dApp more quickly. Faster synchronisation creates a smoother and more responsive experience between blockchain activity and the information displayed in the application. 🚀📱 ⏳ Currently in Progress 1. Frontend and Backend Integration 🔌🖥️ The new frontend experience is being connected to the backend services so that both layers work together smoothly and reliably. This stage ensures that user actions, platform data and backend processes are properly connected across the entire application. 🔗✅ 2. User Experience Improvements 🎨📱 The Closed Beta provided valuable feedback and highlighted areas where the platform can become easier and more intuitive to use. The team is continuing to improve: • Navigation 🧭 • Mobile usability 📱 • Loading states ⏳ • Error handling ⚠️ • Market interaction flows 📊 • Overall platform usability ✅ These improvements are designed to make InterPredict clearer, faster and more accessible for both new and existing users. 🙌 3. Security and Reliability 🔐🛡️ The infrastructure and protocol are being reviewed and strengthened to ensure they are prepared for production use. This includes improving system stability, reviewing critical components and making sure the platform can operate reliably as activity and user participation increase. 🏗️📈 Security and reliability are not final checks to be rushed. They are essential parts of building a platform users can trust. 🤝 4. Mainnet Readiness 🚦🚀 The final stage is bringing all the moving parts together and testing the complete system as one connected platform. This includes the: → Smart contracts 📜 → Backend infrastructure 🖥️ → Frontend experience 🎨 → Market indexing 🗂️ → Data synchronisation 🔄 → Transaction tracking 📊 → Security systems 🔐 Each component must work correctly on its own and together with every other part of the protocol. ⚙️✅ Building for the Long Term 🏗️🌍 Mainnet is not simply a launch date. It is a major milestone that represents the beginning of the next phase for InterPredict. 🟣 The goal is not to launch as quickly as possible. The goal is to launch with a strong foundation that gives the team confidence to continue building, improving and scaling the platform after launch. 🚀📈 The Closed Beta showed us where improvements were needed. V2 is where those lessons are being applied. 💡🔧 There is still work to complete—but every step brings InterPredict closer to a more reliable, efficient and user-friendly platform. ⏳➡️✅ The Next Big Step 🟣🚀 The main technical foundations are now in place. The remaining focus is on integration, user experience, security, reliability and final Mainnet preparation. 🔐⚙️ We are not rushing to launch. We are making sure InterPredict is ready to launch properly. Stay updated and follow the journey towards Mainnet. 🟣🌐🚀 Follow InterPredict 📣 🔗 Follow InterPredict: InterPredict 📲 Join the Telegram community: InterLink Labs 👤 + 🌐 InterPredict InterLink Foundation KV Reina | InterLink Labs Mira #InterPredict #ITP #InterLink #ITLG #ITL #PredictionMarkets #ITL #ITLG #Web3 #Blockchain #dApp #Mainnet #Tokenomics
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What’s Left Before InterPredict Mainnet? 🟣🚀 InterPredict is getting closer to Mainnet but we are not rushing the process. ⏳ A successful Mainnet launch is about more than reaching a date on the calendar. It is about ensuring that the protocol, infrastructure and user experience are ready to operate reliably in a production environment. 🏗️🔐 Several important technical milestones have already been completed, while the remaining work is focused on integration, refinement and final preparation. 🛠️✅ ✅ Completed Milestones 1. Smart Contract Development and Testing 📜🔍 The smart contracts have been developed and tested, establishing the core on-chain foundation of the InterPredict protocol. This work is essential for ensuring that the protocol’s key functions operate as intended and can support the next stage of development. ⚙️⛓️ 2. Backend Deployment 🖥️🚀 The new backend infrastructure has been successfully deployed and is now running in a production environment. This provides the services required to support the platform and enables the frontend to communicate with the systems powering InterPredict. 🔗📡 3. Transaction and Activity Tracking 📊👀 Users can now clearly view the results of their interactions and monitor relevant activity within the platform. Improved visibility helps users better understand their transactions, actions and participation across the platform. ✅📈 4. Reliable Market Indexing 🗂️⛓️ Blockchain activity is being indexed consistently and reflected accurately within the application. Reliable indexing is important because it ensures that on-chain events, market updates and other protocol activity are displayed correctly for users. 🔄📍 5. Faster Data Synchronisation ⚡📡 The platform’s data synchronisation has been improved so that market states, votes, activities and other protocol information can be reflected in the dApp more quickly. Faster synchronisation creates a smoother and more responsive experience between blockchain activity and the information displayed in the application. 🚀📱 ⏳ Currently in Progress 1. Frontend and Backend Integration 🔌🖥️ The new frontend experience is being connected to the backend services so that both layers work together smoothly and reliably. This stage ensures that user actions, platform data and backend processes are properly connected across the entire application. 🔗✅ 2. User Experience Improvements 🎨📱 The Closed Beta provided valuable feedback and highlighted areas where the platform can become easier and more intuitive to use. The team is continuing to improve: • Navigation 🧭 • Mobile usability 📱 • Loading states ⏳ • Error handling ⚠️ • Market interaction flows 📊 • Overall platform usability ✅ These improvements are designed to make InterPredict clearer, faster and more accessible for both new and existing users. 🙌 3. Security and Reliability 🔐🛡️ The infrastructure and protocol are being reviewed and strengthened to ensure they are prepared for production use. This includes improving system stability, reviewing critical components and making sure the platform can operate reliably as activity and user participation increase. 🏗️📈 Security and reliability are not final checks to be rushed. They are essential parts of building a platform users can trust. 🤝 4. Mainnet Readiness 🚦🚀 The final stage is bringing all the moving parts together and testing the complete system as one connected platform. This includes the: → Smart contracts 📜 → Backend infrastructure 🖥️ → Frontend experience 🎨 → Market indexing 🗂️ → Data synchronisation 🔄 → Transaction tracking 📊 → Security systems 🔐 Each component must work correctly on its own and together with every other part of the protocol. ⚙️✅ Building for the Long Term 🏗️🌍 Mainnet is not simply a launch date. It is a major milestone that represents the beginning of the next phase for InterPredict. 🟣 The goal is not to launch as quickly as possible. The goal is to launch with a strong foundation that gives the team confidence to continue building, improving and scaling the platform after launch. 🚀📈 The Closed Beta showed us where improvements were needed. V2 is where those lessons are being applied. 💡🔧 There is still work to complete—but every step brings InterPredict closer to a more reliable, efficient and user-friendly platform. ⏳➡️✅ The Next Big Step 🟣🚀 The main technical foundations are now in place. The remaining focus is on integration, user experience, security, reliability and final Mainnet preparation. 🔐⚙️ We are not rushing to launch. We are making sure InterPredict is ready to launch properly. Stay updated and follow the journey towards Mainnet. 🟣🌐🚀 Follow InterPredict 📣 🔗 Follow InterPredict: InterPredict 📲 Join the Telegram community: InterLink Labs 👤 + 🌐 InterPredict InterLink Foundation KV Reina | InterLink Labs Mira #InterPredict #ITP #InterLink #ITLG #ITL #PredictionMarkets #ITL #ITLG #Web3 #Blockchain #dApp #Mainnet #Tokenomics

Tekkaus® | InterLink Global Leader • MOD • OG

100,095 次观看 • 14 天前

🚀 Paxi Pump｜A Fair Launch Engine Ignited by the Community Paxi Pump is a community-driven token creation mechanism built by Paxi Network. There are no pre-allocations, no private sales, and no hidden rules. Every Pump token is jointly brought to life by users and runs entirely on-chain—open, transparent, and immutable. 🔥 Fair Launch from the Very First Moment 1. No whitelist, no reserved allocation — everyone starts on the same starting line 2. All processes and results are determined solely by on-chain data ⚙️ Automated Creation with Zero Human Intervention 1. Once the cumulative injected PAXI reaches the creation threshold, the system will automatically generate the token on-chain—no manual approval and no need to trust any third party. 2. 500 million tokens, together with all injected PAXI (after deducting fees), will be used to establish the initial liquidity of the native AMM Swap. 3. The remaining 500 million tokens will be distributed proportionally based on each user’s injection amount. All distribution results are verified by on-chain data. 🔐 Immediate Permission Burn, True Decentralization After the token is created, the system will automatically revoke private key control, minting rights, and freezing permissions, ensuring the token cannot be manipulated, inflated, or frozen—truly returning control to the market and the community. ⚠️ Before You Start Please make sure PaxiHub is updated to the latest version. Download link: 🔄 How to Trade Paxi Pump Tokens Android: Tap “Explore” in the bottom navigation bar, then select “Paxi Pump Market” iOS: Tap “Explore” in the bottom navigation bar, then enter “/token_market” in the search bar 🛠️ How to Create a Paxi Pump Token Android: Tap “Explore” in the bottom navigation bar, then select “Paxi Pump Generator” iOS: Tap “Explore” in the bottom navigation bar, then enter “/pump” in the search bar #PumpFun #memecoin #MEXC #BitMart $PAXI
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🚀 Paxi Pump｜A Fair Launch Engine Ignited by the Community Paxi Pump is a community-driven token creation mechanism built by Paxi Network. There are no pre-allocations, no private sales, and no hidden rules. Every Pump token is jointly brought to life by users and runs entirely on-chain—open, transparent, and immutable. 🔥 Fair Launch from the Very First Moment 1. No whitelist, no reserved allocation — everyone starts on the same starting line 2. All processes and results are determined solely by on-chain data ⚙️ Automated Creation with Zero Human Intervention 1. Once the cumulative injected PAXI reaches the creation threshold, the system will automatically generate the token on-chain—no manual approval and no need to trust any third party. 2. 500 million tokens, together with all injected PAXI (after deducting fees), will be used to establish the initial liquidity of the native AMM Swap. 3. The remaining 500 million tokens will be distributed proportionally based on each user’s injection amount. All distribution results are verified by on-chain data. 🔐 Immediate Permission Burn, True Decentralization After the token is created, the system will automatically revoke private key control, minting rights, and freezing permissions, ensuring the token cannot be manipulated, inflated, or frozen—truly returning control to the market and the community. ⚠️ Before You Start Please make sure PaxiHub is updated to the latest version. Download link: 🔄 How to Trade Paxi Pump Tokens Android: Tap “Explore” in the bottom navigation bar, then select “Paxi Pump Market” iOS: Tap “Explore” in the bottom navigation bar, then enter “/token_market” in the search bar 🛠️ How to Create a Paxi Pump Token Android: Tap “Explore” in the bottom navigation bar, then select “Paxi Pump Generator” iOS: Tap “Explore” in the bottom navigation bar, then enter “/pump” in the search bar #PumpFun #memecoin #MEXC #BitMart $PAXI

Paxi

35,776 次观看 • 9 个月前

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!
19:06

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!

dom | icp

320,618 次观看 • 4 个月前

Something amazing is coming to Apache Kafka… Consumer Groups v2! If you’ve ever used consumer groups in production at any non-trivial scale, you probably know all the problems with it: - ⛔️ Group-wide synchronization barrier acts as a cap on scalability A single misbehaving consumer can disturb the whole group. Even if you have cooperative rebalancing and static membership enabled, you will still have rebalances happen. 🤷‍♂️ It’s a fact of life I've heard - death, taxes & consumer group rebalances. And the problem is that even with cooperative rebalancing (which helped a lot!), you’re bound on waiting for the slowest member of the group to complete the rebalance(s). 🐌 The problem is that no consumer can commit offsets while a rebalance is in progress. ❌ Another subtle thing is that with cooperative rebalancing, a rebalance will take longer than usual. Why? Because consumers are allowed to process partitions during rebalances. They will call the poll() method more infrequently -- they're busy processing records after all. Thus, the overall rebalance time will increase. This makes it pretty hard to scale to 1000s of members. - 🤯 Complexity There’s a reason you’re reading this! The current protocol is pretty complex and hard to understand. It's used for a bunch of stuff, including metadata propagation in Kafka Streams. This compexity results in more: - 🐛 bugs The harder to reason about and the more moving parts you have - the greater chance for bugs. There have been quite a few in the protocol. And due to the fact that a lot of the protocol’s logic lives on the clients, that results in: - 🐌 slow fixes Bugs require client-side fixes, which are slow to be adopted. If you run a Kafka ops team, you know how hard it is to get all of your clients' teams to upgrade! If you're using a cloud service, you need to wait for a new Kafka release to go out. Can't have the cloud provider handle it for you behind the scenes! - 🔍 hard to debug Debugging is harder because you need client logs. In the cloud, that's hard to do again. On-prem, it requires reading through a lot of logs and collecting a lot of files. - ⚙️ very extendable There’s a reusable embedded protocol within the rebalance protocol, where clients are free to attach raw bytes that only they can then parse themselves. It's challenging to build compatible software for this cross-client protocol, as well as near-impossible to inspect from the broker side. - 😢 inconsistent metadata Clients are responsible for triggering rebalances based on the metadata, but different clients can have different views of the metadata. - 😵‍💫 interoperability Different implementations of the clients (i.e. anything besides the Java client) may have bugs. The complex logic needs to be re-implemented quite a few times. This usually means more bugs and slower time to ship features in your favorite client. A combination nobody likes. ... So what should an open source community do? Move the logic to the broker! Then? Simplify it. The new protocol is very elegant - it streamlines all of the regular Kafka consumer logic inside a new heartbeat API. It has the broker decide what partition assignments the consumers should have, and totally omits the notion of a Group Leader client. Another major change is that the notion of a group-wide rebalance is removed now. The rebalance is more fine-grained now. 👌 When you think about it, a rebalance is simply a reassignment of some partitions from some consumers to others. 💡 Why does the whole group need to stop and know about this? It had to before because the logic was on the client. It doesn’t now. 🎂 The new protocol is fine-grained in its assignments. It maintains per-member epochs, as well as separate epochs for the general group membership and the global assignment. The goal is simple - get all of those epoch numbers to be the same. The order is the following: 1. the group-wide epoch is bumped. 2. the target assignment epoch is bumped. 3. individual consumers catch up to the epoch via the heartbeat request, individually. (fine-grained) In general, what you have is a simple state machine inside the Group Coordinator broker that’s running a constant reconciliation loop. 💥 Because every member converges to the target state independently, the coordinator is free to simplify that convergence member by member. 👍 It has the logic to resolve dependencies between members - the act of: 1. revoking one member’s partition. 2. confirming the success of that. 3. bumping that member's epoch before assigning that partition to another consumer. Here is an example visual of what happens when two members join a consumer group one by one:
1:37

Something amazing is coming to Apache Kafka… Consumer Groups v2! If you’ve ever used consumer groups in production at any non-trivial scale, you probably know all the problems with it: - ⛔️ Group-wide synchronization barrier acts as a cap on scalability A single misbehaving consumer can disturb the whole group. Even if you have cooperative rebalancing and static membership enabled, you will still have rebalances happen. 🤷‍♂️ It’s a fact of life I've heard - death, taxes & consumer group rebalances. And the problem is that even with cooperative rebalancing (which helped a lot!), you’re bound on waiting for the slowest member of the group to complete the rebalance(s). 🐌 The problem is that no consumer can commit offsets while a rebalance is in progress. ❌ Another subtle thing is that with cooperative rebalancing, a rebalance will take longer than usual. Why? Because consumers are allowed to process partitions during rebalances. They will call the poll() method more infrequently -- they're busy processing records after all. Thus, the overall rebalance time will increase. This makes it pretty hard to scale to 1000s of members. - 🤯 Complexity There’s a reason you’re reading this! The current protocol is pretty complex and hard to understand. It's used for a bunch of stuff, including metadata propagation in Kafka Streams. This compexity results in more: - 🐛 bugs The harder to reason about and the more moving parts you have - the greater chance for bugs. There have been quite a few in the protocol. And due to the fact that a lot of the protocol’s logic lives on the clients, that results in: - 🐌 slow fixes Bugs require client-side fixes, which are slow to be adopted. If you run a Kafka ops team, you know how hard it is to get all of your clients' teams to upgrade! If you're using a cloud service, you need to wait for a new Kafka release to go out. Can't have the cloud provider handle it for you behind the scenes! - 🔍 hard to debug Debugging is harder because you need client logs. In the cloud, that's hard to do again. On-prem, it requires reading through a lot of logs and collecting a lot of files. - ⚙️ very extendable There’s a reusable embedded protocol within the rebalance protocol, where clients are free to attach raw bytes that only they can then parse themselves. It's challenging to build compatible software for this cross-client protocol, as well as near-impossible to inspect from the broker side. - 😢 inconsistent metadata Clients are responsible for triggering rebalances based on the metadata, but different clients can have different views of the metadata. - 😵‍💫 interoperability Different implementations of the clients (i.e. anything besides the Java client) may have bugs. The complex logic needs to be re-implemented quite a few times. This usually means more bugs and slower time to ship features in your favorite client. A combination nobody likes. ... So what should an open source community do? Move the logic to the broker! Then? Simplify it. The new protocol is very elegant - it streamlines all of the regular Kafka consumer logic inside a new heartbeat API. It has the broker decide what partition assignments the consumers should have, and totally omits the notion of a Group Leader client. Another major change is that the notion of a group-wide rebalance is removed now. The rebalance is more fine-grained now. 👌 When you think about it, a rebalance is simply a reassignment of some partitions from some consumers to others. 💡 Why does the whole group need to stop and know about this? It had to before because the logic was on the client. It doesn’t now. 🎂 The new protocol is fine-grained in its assignments. It maintains per-member epochs, as well as separate epochs for the general group membership and the global assignment. The goal is simple - get all of those epoch numbers to be the same. The order is the following: 1. the group-wide epoch is bumped. 2. the target assignment epoch is bumped. 3. individual consumers catch up to the epoch via the heartbeat request, individually. (fine-grained) In general, what you have is a simple state machine inside the Group Coordinator broker that’s running a constant reconciliation loop. 💥 Because every member converges to the target state independently, the coordinator is free to simplify that convergence member by member. 👍 It has the logic to resolve dependencies between members - the act of: 1. revoking one member’s partition. 2. confirming the success of that. 3. bumping that member's epoch before assigning that partition to another consumer. Here is an example visual of what happens when two members join a consumer group one by one:

Stanislav Kozlovski

52,814 次观看 • 3 年前

$ITL Reverse Auctions Beckon a New Era of Token Economics 🚀📊 The biggest question in crypto is changing. 🔥 For years, many ecosystems have focused on one thing: “How many tokens can we distribute?” 🎁 But InterLink Labs 👤 + 🌐 is asking a far more important question: “How much value can we create to bring $ITL back from the market?” 💎📈 That shift may sound simple, but it changes the entire model of token economics. 🔁⚡ Why This Matters 🧠💡 A system built mainly around constant distribution often creates: • higher supply pressure 📉 • more short-term selling 🏷️ • weaker long-term price support 🧱 In contrast, a system built around value creation encourages: • real economic activity 🏗️ • stronger utility 🛠️ • healthier demand for the token 📊🔥 That is the real difference between distribution-led growth and value-led growth. 🌱➡️🌳 The Reverse Auction Idea 🎯🔄 The Reverse Auction mechanism signals a major shift in mindset. 🧭 Instead of relying on endless token handouts, organisations in the InterLink Labs 👤 + 🌐 ecosystem are encouraged to: • build real products 🧩 • generate revenue 💰 • manage their own treasuries 🏦 • acquire $ITL through their own success 🚀 This creates a more responsible system, where participation is tied to performance and contribution, not just token emission. ⚙️🤝 A Better Economic Flywheel 🔁💪 When value is created first, a stronger cycle begins: More value created → More economic activity → Greater demand for $ITL 📈🔥 That is the kind of flywheel that can support a healthier ecosystem over time. 🌟 Instead of depending on constant token release, the network grows through usefulness, production, and real demand. 🧱🌍 The Bigger Lesson for Blockchain 🌐🚀 The future of blockchain will not be decided by who gives away the most tokens. 🎁❌ It will be decided by who creates the most value. ✅💎 That is why this approach matters. It moves the focus from short-term distribution to long-term sustainability. 🌱⏳ It rewards builders, not just speculators. 🛠️👷 And it gives the ecosystem a clearer path towards lasting strength. 🏆🔥 Final Takeaway ✨📌 InterLink Labs 👤 + 🌐 is not just thinking about token distribution! In fact, it is thinking about token return, value creation, and economic responsibility. 🔄💡 That is a meaningful shift. 🚀 And if this model works as intended, it could become a powerful example of how blockchain projects should be built in the future. 🌍🏗️🔥 InterLink Labs 👤 + 🌐 KV Reina | InterLink Labs #ITLG #ITL #InterLink 💙💎
0:25

$ITL Reverse Auctions Beckon a New Era of Token Economics 🚀📊 The biggest question in crypto is changing. 🔥 For years, many ecosystems have focused on one thing: “How many tokens can we distribute?” 🎁 But InterLink Labs 👤 + 🌐 is asking a far more important question: “How much value can we create to bring $ITL back from the market?” 💎📈 That shift may sound simple, but it changes the entire model of token economics. 🔁⚡ Why This Matters 🧠💡 A system built mainly around constant distribution often creates: • higher supply pressure 📉 • more short-term selling 🏷️ • weaker long-term price support 🧱 In contrast, a system built around value creation encourages: • real economic activity 🏗️ • stronger utility 🛠️ • healthier demand for the token 📊🔥 That is the real difference between distribution-led growth and value-led growth. 🌱➡️🌳 The Reverse Auction Idea 🎯🔄 The Reverse Auction mechanism signals a major shift in mindset. 🧭 Instead of relying on endless token handouts, organisations in the InterLink Labs 👤 + 🌐 ecosystem are encouraged to: • build real products 🧩 • generate revenue 💰 • manage their own treasuries 🏦 • acquire $ITL through their own success 🚀 This creates a more responsible system, where participation is tied to performance and contribution, not just token emission. ⚙️🤝 A Better Economic Flywheel 🔁💪 When value is created first, a stronger cycle begins: More value created → More economic activity → Greater demand for $ITL 📈🔥 That is the kind of flywheel that can support a healthier ecosystem over time. 🌟 Instead of depending on constant token release, the network grows through usefulness, production, and real demand. 🧱🌍 The Bigger Lesson for Blockchain 🌐🚀 The future of blockchain will not be decided by who gives away the most tokens. 🎁❌ It will be decided by who creates the most value. ✅💎 That is why this approach matters. It moves the focus from short-term distribution to long-term sustainability. 🌱⏳ It rewards builders, not just speculators. 🛠️👷 And it gives the ecosystem a clearer path towards lasting strength. 🏆🔥 Final Takeaway ✨📌 InterLink Labs 👤 + 🌐 is not just thinking about token distribution! In fact, it is thinking about token return, value creation, and economic responsibility. 🔄💡 That is a meaningful shift. 🚀 And if this model works as intended, it could become a powerful example of how blockchain projects should be built in the future. 🌍🏗️🔥 InterLink Labs 👤 + 🌐 KV Reina | InterLink Labs #ITLG #ITL #InterLink 💙💎

Tekkaus® | InterLink • MOD • T2 Community Builder

22,265 次观看 • 1 个月前

A video-text summary of my argument that we now live in the age of TECHNOFEUDALISM (in 16', 2000 words): Wherever we turn, we witness the triumph of capital. Capital has prevailed everywhere: in warehouses, factories, offices, universities, public hospitals, the media – in space but also in the microcosm of genetic engineering. So, how do I dare claim that capitalism has been killed? By whom? The deliciously ironic answer is that capitalism was killed by its own hand… by capital! If I am right, the issue is not what AI will do to us in the future but what has already happened: Capital became so dominant that it mutated into a variant so toxic that, like a stupid virus, it killed off its host, capitalism, replacing it with something far, far worse. This new mutant capital, that killed capitalism, lives in the proverbial cloud – so, let us call it cloud capital. What is cloud capital? What makes it so different? Cloud capital, of course, does not really live up in the cloud. It lives down on Earth, comprising networked machines, server farms, cell towers, software, AI-driven algorithms – and of course it lives on our oceans’ floors where untold miles of optic fibre cables rest. Unlike traditional capital, from fishing rods to the steam-engines of the Industrial Revolution to today’s modern industrial robots that are produced means of production, cloud capital does not produce anything – it comprises machines manufactured so as to modify human behaviour. That’s what Amazon’s Alexa or Google’s Assistant or Apple’s Siri is: It is a produced means of behavioural modification. It is a machine, a piece of capital, which we train to train us to train it to determine that which we want. And, once we want it, the same networked machine sells it to us, directly, bypassing markets. As if that were not enough, the same machinery succeeds in making us sustain the enormous behavioural modification machine network to which it belongs with our free voluntary labour. We are sustaining it as we post reviews, rate products, upload videos, rants, photos - we help reproduce cloud capital without getting a penny for our labour. In essence, it has turned us into its cloud serfs! Meanwhile, in the factories and the warehouses, where waged proletarians work under increasingly precarious conditions, the same algorithms that modify our behaviour and sell products to us directly – those algorithms are deployed, usually by digital devices tied to the workers’ wrists, to make proletarians, workers in the warehouses, in the factories work faster, to direct and to monitor them in real time. I started by saying that wherever we turn, we stumble on the triumph of capital. But it is cloud capital that is the real winner. It is amazing how it performs, at once, five roles that used to be beyond capital’s capacities: Cloud capital grabs our attention. It manufactures our desires. It sells to us, directly, outside any traditional markets, that which is going to satiate the desires it made us have. It drives proletarian labour inside the workplaces. And it elicits massive free labour from us, its cloud-serfs. Is it surprising that the owners of this cloud capital – let’s call them cloudalists – have a hitherto undreamt power to extract? To extract gargantuan surplus value from proletarians; untold quantities of free labour from almost everyone; and mind-numbing cloud rents from vassal capitalists – from sellers? Is it a wonder that they are vastly more powerful than Henry Ford or Rupert Murdoch could ever be? “Hang on”, I hear you say. “Is Jeff Bezos really different to Henry Ford? Aren’t they all a species of monopoly capitalists? Monopolists?” No, is not a monopolistic capitalist enterprise. The moment you enter you have exited capitalism altogether! Sure enough, the place is teaming with buyers and sellers. So, yes, it is an enormous trading platform but, no, a market it certainly is not! One man called Jeff owns everything. But he is much, much more than a mere monopolist. Jeff doesn’t own the factories that produce the stuff sold on his platform by traditional capitalists who have to use it to ply their trade. What he does own is more important: Jeff owns the algorithm that decides which products you see and which you don’t – the very algorithm that you have trained to know you perfectly so that it matches youwith a seller, whom it also knows perfectly well, with a view to maximising the probability that every such match, transaction, will generate, for Jeff, the highest rent that Jeff can charge the seller for what you buy: up to 40% of what you pay is pocketed by Jeff, the cloudalist! The mind rebels at the enormity but also the radical novelty of this kind of exploitation: The same algorithm that we help train in real time to know us inside out - that same algorithm both modifies our preferences and administers the selection and delivery of commodities that will satisfy these preferences. If you and I were to type “electric bicycles” or “binoculars” while in you and I would get totally different recommendations. In a traditional market or shopping mall it would be as if you and I were walking next to each other, our eyes trained in the same direction, the same shop window, but we were to see different things depending on what Jeff’s algorithm wants each one of us to see. Everyone navigating around – except Jeff Bezos of course – everyone in is wandering around in algorithmically constructed isolation as if in a Panopticon where, unable to see each other, we only see Jeff’s all-seeing algorithm or, more accurately, only what his algorithm allows us to see with a view to maximising his cloud rent – which is, of course, today’s version of the ground rent that the feudal lords used to extract from their vassals and their peasants. This is not capitalism. Ladies and gentlemen, welcome to technofeudalism! How did cloud capital kill capitalism? How did it rise up? Who paid for it? Capitalism, lest we forget, had two pillars: markets and profit. Of course, markets and profit remain ubiquitous. Nevertheless, cloud capital has evicted both markets and profit from the centre of our socioeconomic system, pushing them out to its margins, and replacing them: Markets, the medium of capitalism, have been replaced by cloud fiefs – digital trading platforms like or Alibaba which, as we saw, look like, but are not, markets. And Profit? The fuel of capitalism? Well, that has been replaced by its feudal predecessor: rent. But, specifically, a new form of rent, a cloud rent that must be paid for access to those cloud fiefs or digital platforms. But how did cloud capital emerge?It began life in the late 1990s when the original Internet, which was a Commons – it functioned as a capitalism-free-zone – that original Internet, Internet 1.0 if you want, was privatised by the emergent Big Tech. Who paid for the trillions it cost to manufacture and to accumulate cloud capital so quickly in the hands of so very few cloudalists? The startling answer is: The G7 countries’ central banks, mostly! How did that happen? Well, by accident, or – to be more precise – by… crisis! After the financial sector collapse of 2008, our central bankers printed up to $35 trillion to bail out the bankers at a time when the governments were subjecting our peoples to harsh austerity. Capitalists were clever enough to foresee that the many would be too impecunious to buy their stuff. So, instead of investing, they took the central bank money to the stock exchange and the bond markets, where they bought shares, bonds – along with yachts, art, bitcoin, NFTs any ‘asset’ they could lay their hands on. The only capitalists who actually invested in capital were Big Tech owners. For example, 9 out of every 10 dollars that went into creating Facebook came from these central bank monies! That’s how cloud capital was financed and how the cloudalists became our new ruling class. As a result, real power today resides not with the owners of machinery, buildings, railway and phone networks, industrial robots. These old-fashioned, terrestrial capitalists continue to extract surplus value from waged labour, but they are no longer in charge, as they used to be. They have become vassals in relation to the owners of cloud capital, of the cloudalists. As for the rest of us, we have returned to our former status as serfs, contributing to the wealth and power of the new ruling class with our unpaid labour — in addition to the waged labour we perform, when we get the chance to do it. But surely, someone will say, this is still capitalism, isn’t it? So, you are still unconvinced? I know, it is hard to part with the term, with the word, capitalism. It is not just liberals who think of capitalism like fish think of the water they swim in – as natural. Socialists too need to feel that our purpose in life, the reason we landed on this Earth, is to overthrow capitalism. The news that I bring that capital beat us to it, and now we have something worse in capitalism’s place, that news is hard to accept. Indeed, it is mostly my fellow-travelling leftist friends who try to dissuade me – to convince me that, yes, cloud capital may be important but “this is still capitalism mate”. Let’s call it rentier capitalism or monopoly capitalism, they suggest. But that simply will not do! Cloud rent is not like ground rent, because it requires massive investment in new tech. And it is not monopoly rent either, because Bezos and Zuckerberg, instead of monopolising markets to sell their manufactures (like Ford and Eddison did), Bezos and Zuckerberg have replaced markets and have no interest in manufacturing anything (unlike Henry Ford and Thomas Eddison). How about surveillance capitalism? Again, no, it won’t do. Cloudalists do not simply use algorithms to brain wash us on behalf of advertisers in an otherwise capitalist setting. No, cloud capital reproduces itself through our free-labour, it directly exploits waged labour, and it squeezes cloud rents from vassal capitalists in trading platforms that are not markets. This is not capitalism folks! Any kind of capitalism. But what about the observation that technofeudalism is parasitic on the capitalist sector within it? Yes, it is true. Were the conventional capitalists to die out, cloudalists would perish, unable to skim off cloud rents from the manufacturers. So what? After capitalism overthrew feudalism, capitalists were also parasitic on landowners, in the sense that, without private land producing food, capitalism would wither. Similarly, now: While the traditional capitalist sector feeds technofeudalism, it is cloud capital and cloud rent that dominate. Does it matter whether we call it technofeudalism or some form of capitalism? At this point, it is important to recall Marx’s maxim that the point is not to interpret but to change the world. So, does it matter if this is still capitalism or whether we call it technofeudalism? I think it does. Recognising that our world has become technofeudal helps us grasp the enormity of what it will take to organise the victims of exorbitant power, the exploited who, now, include not only waged labourers but also the hordes of cloud serfs who are reproducing the very cloud capital that keeps them in a state of deepening precarity. The concept of technofeudalism drives home the point that organising auto-workers and nurses, while still essential, is insufficient. It elucidates what it will take to organise the movements against the fossil fuel cartel when our means of communication are run on cloud capital primed to poison public opinion. It explains how the shift to electric cars caused German deindustrialisation, as profits due to precision mechanical engineering are being replaced by rents extracted by owners of the cloud capital keeping tabs on the drivers’ routes and in-cabin habits. Elon Musk’s decision to buy Twitter suddenly makes a lot more sense. Twitter for Musk is an interface between his mechanical capital stock at Tesla and SpaceX and cloud capital. The New Cold War between the USA and China, especially after the war in Ukraine, is explained as the repercussion of an underlying clash between two technofeudalisms, one whose cloud rents are denominated in dollars the other in yuan. Isn’t it mindboggling? It took mind-bending scientific breakthroughs, fantastical neural networks, and imagination-defying AI programs to accomplish what? To create a world where, while privatisation and private equity asset-strip all physical wealth around us, cloud capital goes about the business of asset-stripping our brains. To own our minds individually, we must own cloud capital collectively. Once we have reclaimed our minds, we can put them collectively to work out a way to create a new cloud capital commons. It will be damned hard. But it’s the only way we can turn our cloud-based artefacts from a produced means of behaviour modification to a produced means of human collaboration and emancipation. Cloud serfs, cloud proles and cloud vassals of the world, unite! We have nothing to lose but our mind-cloud chains! US Edition: UK Edition: Greek Edition:
17:20

A video-text summary of my argument that we now live in the age of TECHNOFEUDALISM (in 16', 2000 words): Wherever we turn, we witness the triumph of capital. Capital has prevailed everywhere: in warehouses, factories, offices, universities, public hospitals, the media – in space but also in the microcosm of genetic engineering. So, how do I dare claim that capitalism has been killed? By whom? The deliciously ironic answer is that capitalism was killed by its own hand… by capital! If I am right, the issue is not what AI will do to us in the future but what has already happened: Capital became so dominant that it mutated into a variant so toxic that, like a stupid virus, it killed off its host, capitalism, replacing it with something far, far worse. This new mutant capital, that killed capitalism, lives in the proverbial cloud – so, let us call it cloud capital. What is cloud capital? What makes it so different? Cloud capital, of course, does not really live up in the cloud. It lives down on Earth, comprising networked machines, server farms, cell towers, software, AI-driven algorithms – and of course it lives on our oceans’ floors where untold miles of optic fibre cables rest. Unlike traditional capital, from fishing rods to the steam-engines of the Industrial Revolution to today’s modern industrial robots that are produced means of production, cloud capital does not produce anything – it comprises machines manufactured so as to modify human behaviour. That’s what Amazon’s Alexa or Google’s Assistant or Apple’s Siri is: It is a produced means of behavioural modification. It is a machine, a piece of capital, which we train to train us to train it to determine that which we want. And, once we want it, the same networked machine sells it to us, directly, bypassing markets. As if that were not enough, the same machinery succeeds in making us sustain the enormous behavioural modification machine network to which it belongs with our free voluntary labour. We are sustaining it as we post reviews, rate products, upload videos, rants, photos - we help reproduce cloud capital without getting a penny for our labour. In essence, it has turned us into its cloud serfs! Meanwhile, in the factories and the warehouses, where waged proletarians work under increasingly precarious conditions, the same algorithms that modify our behaviour and sell products to us directly – those algorithms are deployed, usually by digital devices tied to the workers’ wrists, to make proletarians, workers in the warehouses, in the factories work faster, to direct and to monitor them in real time. I started by saying that wherever we turn, we stumble on the triumph of capital. But it is cloud capital that is the real winner. It is amazing how it performs, at once, five roles that used to be beyond capital’s capacities: Cloud capital grabs our attention. It manufactures our desires. It sells to us, directly, outside any traditional markets, that which is going to satiate the desires it made us have. It drives proletarian labour inside the workplaces. And it elicits massive free labour from us, its cloud-serfs. Is it surprising that the owners of this cloud capital – let’s call them cloudalists – have a hitherto undreamt power to extract? To extract gargantuan surplus value from proletarians; untold quantities of free labour from almost everyone; and mind-numbing cloud rents from vassal capitalists – from sellers? Is it a wonder that they are vastly more powerful than Henry Ford or Rupert Murdoch could ever be? “Hang on”, I hear you say. “Is Jeff Bezos really different to Henry Ford? Aren’t they all a species of monopoly capitalists? Monopolists?” No, is not a monopolistic capitalist enterprise. The moment you enter you have exited capitalism altogether! Sure enough, the place is teaming with buyers and sellers. So, yes, it is an enormous trading platform but, no, a market it certainly is not! One man called Jeff owns everything. But he is much, much more than a mere monopolist. Jeff doesn’t own the factories that produce the stuff sold on his platform by traditional capitalists who have to use it to ply their trade. What he does own is more important: Jeff owns the algorithm that decides which products you see and which you don’t – the very algorithm that you have trained to know you perfectly so that it matches youwith a seller, whom it also knows perfectly well, with a view to maximising the probability that every such match, transaction, will generate, for Jeff, the highest rent that Jeff can charge the seller for what you buy: up to 40% of what you pay is pocketed by Jeff, the cloudalist! The mind rebels at the enormity but also the radical novelty of this kind of exploitation: The same algorithm that we help train in real time to know us inside out - that same algorithm both modifies our preferences and administers the selection and delivery of commodities that will satisfy these preferences. If you and I were to type “electric bicycles” or “binoculars” while in you and I would get totally different recommendations. In a traditional market or shopping mall it would be as if you and I were walking next to each other, our eyes trained in the same direction, the same shop window, but we were to see different things depending on what Jeff’s algorithm wants each one of us to see. Everyone navigating around – except Jeff Bezos of course – everyone in is wandering around in algorithmically constructed isolation as if in a Panopticon where, unable to see each other, we only see Jeff’s all-seeing algorithm or, more accurately, only what his algorithm allows us to see with a view to maximising his cloud rent – which is, of course, today’s version of the ground rent that the feudal lords used to extract from their vassals and their peasants. This is not capitalism. Ladies and gentlemen, welcome to technofeudalism! How did cloud capital kill capitalism? How did it rise up? Who paid for it? Capitalism, lest we forget, had two pillars: markets and profit. Of course, markets and profit remain ubiquitous. Nevertheless, cloud capital has evicted both markets and profit from the centre of our socioeconomic system, pushing them out to its margins, and replacing them: Markets, the medium of capitalism, have been replaced by cloud fiefs – digital trading platforms like or Alibaba which, as we saw, look like, but are not, markets. And Profit? The fuel of capitalism? Well, that has been replaced by its feudal predecessor: rent. But, specifically, a new form of rent, a cloud rent that must be paid for access to those cloud fiefs or digital platforms. But how did cloud capital emerge?It began life in the late 1990s when the original Internet, which was a Commons – it functioned as a capitalism-free-zone – that original Internet, Internet 1.0 if you want, was privatised by the emergent Big Tech. Who paid for the trillions it cost to manufacture and to accumulate cloud capital so quickly in the hands of so very few cloudalists? The startling answer is: The G7 countries’ central banks, mostly! How did that happen? Well, by accident, or – to be more precise – by… crisis! After the financial sector collapse of 2008, our central bankers printed up to $35 trillion to bail out the bankers at a time when the governments were subjecting our peoples to harsh austerity. Capitalists were clever enough to foresee that the many would be too impecunious to buy their stuff. So, instead of investing, they took the central bank money to the stock exchange and the bond markets, where they bought shares, bonds – along with yachts, art, bitcoin, NFTs any ‘asset’ they could lay their hands on. The only capitalists who actually invested in capital were Big Tech owners. For example, 9 out of every 10 dollars that went into creating Facebook came from these central bank monies! That’s how cloud capital was financed and how the cloudalists became our new ruling class. As a result, real power today resides not with the owners of machinery, buildings, railway and phone networks, industrial robots. These old-fashioned, terrestrial capitalists continue to extract surplus value from waged labour, but they are no longer in charge, as they used to be. They have become vassals in relation to the owners of cloud capital, of the cloudalists. As for the rest of us, we have returned to our former status as serfs, contributing to the wealth and power of the new ruling class with our unpaid labour — in addition to the waged labour we perform, when we get the chance to do it. But surely, someone will say, this is still capitalism, isn’t it? So, you are still unconvinced? I know, it is hard to part with the term, with the word, capitalism. It is not just liberals who think of capitalism like fish think of the water they swim in – as natural. Socialists too need to feel that our purpose in life, the reason we landed on this Earth, is to overthrow capitalism. The news that I bring that capital beat us to it, and now we have something worse in capitalism’s place, that news is hard to accept. Indeed, it is mostly my fellow-travelling leftist friends who try to dissuade me – to convince me that, yes, cloud capital may be important but “this is still capitalism mate”. Let’s call it rentier capitalism or monopoly capitalism, they suggest. But that simply will not do! Cloud rent is not like ground rent, because it requires massive investment in new tech. And it is not monopoly rent either, because Bezos and Zuckerberg, instead of monopolising markets to sell their manufactures (like Ford and Eddison did), Bezos and Zuckerberg have replaced markets and have no interest in manufacturing anything (unlike Henry Ford and Thomas Eddison). How about surveillance capitalism? Again, no, it won’t do. Cloudalists do not simply use algorithms to brain wash us on behalf of advertisers in an otherwise capitalist setting. No, cloud capital reproduces itself through our free-labour, it directly exploits waged labour, and it squeezes cloud rents from vassal capitalists in trading platforms that are not markets. This is not capitalism folks! Any kind of capitalism. But what about the observation that technofeudalism is parasitic on the capitalist sector within it? Yes, it is true. Were the conventional capitalists to die out, cloudalists would perish, unable to skim off cloud rents from the manufacturers. So what? After capitalism overthrew feudalism, capitalists were also parasitic on landowners, in the sense that, without private land producing food, capitalism would wither. Similarly, now: While the traditional capitalist sector feeds technofeudalism, it is cloud capital and cloud rent that dominate. Does it matter whether we call it technofeudalism or some form of capitalism? At this point, it is important to recall Marx’s maxim that the point is not to interpret but to change the world. So, does it matter if this is still capitalism or whether we call it technofeudalism? I think it does. Recognising that our world has become technofeudal helps us grasp the enormity of what it will take to organise the victims of exorbitant power, the exploited who, now, include not only waged labourers but also the hordes of cloud serfs who are reproducing the very cloud capital that keeps them in a state of deepening precarity. The concept of technofeudalism drives home the point that organising auto-workers and nurses, while still essential, is insufficient. It elucidates what it will take to organise the movements against the fossil fuel cartel when our means of communication are run on cloud capital primed to poison public opinion. It explains how the shift to electric cars caused German deindustrialisation, as profits due to precision mechanical engineering are being replaced by rents extracted by owners of the cloud capital keeping tabs on the drivers’ routes and in-cabin habits. Elon Musk’s decision to buy Twitter suddenly makes a lot more sense. Twitter for Musk is an interface between his mechanical capital stock at Tesla and SpaceX and cloud capital. The New Cold War between the USA and China, especially after the war in Ukraine, is explained as the repercussion of an underlying clash between two technofeudalisms, one whose cloud rents are denominated in dollars the other in yuan. Isn’t it mindboggling? It took mind-bending scientific breakthroughs, fantastical neural networks, and imagination-defying AI programs to accomplish what? To create a world where, while privatisation and private equity asset-strip all physical wealth around us, cloud capital goes about the business of asset-stripping our brains. To own our minds individually, we must own cloud capital collectively. Once we have reclaimed our minds, we can put them collectively to work out a way to create a new cloud capital commons. It will be damned hard. But it’s the only way we can turn our cloud-based artefacts from a produced means of behaviour modification to a produced means of human collaboration and emancipation. Cloud serfs, cloud proles and cloud vassals of the world, unite! We have nothing to lose but our mind-cloud chains! US Edition: UK Edition: Greek Edition:

Yanis Varoufakis

1,817,609 次观看 • 2 年前

‼️🚨🔵 PRESSER 🔵🚨‼️ 🎙 Liam Rosenior’s Full Post-Arsenal Press Conference 🌀 Liam Rosenior on the game plan ⚙️ “We’ve had a lot to contend with in the last couple of days — a couple of fitness tests this morning. Our schedule has been incredible, so for the players to put in that energy, fight and spirit was pleasing. We got into the final third, but we didn’t have enough quality moments and didn’t take advantage.” 🌀 Liam Rosenior on James & Neto 🚑 “Pedro and Reece both had small knocks and were in too much pain to be involved tonight.” 🌀 Liam Rosenior on Estevão & Cole Palmer 🧠❤️ “For Estevão to go through what he has at 18 years old says everything about the character I want in this team. With Cole, we have to take care of him and make sure he’s right for the whole season.” 🌀 Liam Rosenior on the defeat 😔 “I’m extremely disappointed every time we lose. There were aspects of the game I was happy with, but you could see how devastated the lads were — we genuinely believed we could turn it around. There were moments there for us. I’m hurting, but we have to move on.” 🌀 Liam Rosenior on how the game unfolded 🔄 “You can come away from home, press high and go 2–0 down. I brought Cole and Estevão on around 60 minutes and the game opened up. There was a feeling in the stadium that the tie could turn, but it didn’t happen. Their goal ultimately comes when we were throwing the kitchen sink at it.” 🌀 Liam Rosenior on injuries affecting the setup 🧩 “The availability of your players always affects the system. Against West Ham we ran until the 97th minute trying to come back from 2–0 down, then the emotions from Napoli — all of that has to be taken into account.” 🌀 Liam Rosenior on pundit criticism 🎙️ “I’ve been a pundit — it’s easy in hindsight. If I go and attack the game and press really high, people will ask what I’m doing.” 🌀 Liam Rosenior on reacting to setbacks 🔥 “Losing is not what we wanted. We’ve played eight games in less than a month since I came in. The learning, spirit, togetherness and fight are there. Now I need to see what we look like after a setback. We’ve got a difficult game at Wolves and we’ll learn more about ourselves.” 🌀 Liam Rosenior on the overall performance 👏 “We can’t talk about how well the game plan went because the result didn’t go our way. But not many teams come here and put in the performance we did tonight.” #CFC | #Chelsea | #CarabaoCup | #Interviews 📲 CFC_ChelseaFC via Telegram 🎥 Beanyman sports via YouTube
4:48

‼️🚨🔵 PRESSER 🔵🚨‼️ 🎙 Liam Rosenior’s Full Post-Arsenal Press Conference 🌀 Liam Rosenior on the game plan ⚙️ “We’ve had a lot to contend with in the last couple of days — a couple of fitness tests this morning. Our schedule has been incredible, so for the players to put in that energy, fight and spirit was pleasing. We got into the final third, but we didn’t have enough quality moments and didn’t take advantage.” 🌀 Liam Rosenior on James & Neto 🚑 “Pedro and Reece both had small knocks and were in too much pain to be involved tonight.” 🌀 Liam Rosenior on Estevão & Cole Palmer 🧠❤️ “For Estevão to go through what he has at 18 years old says everything about the character I want in this team. With Cole, we have to take care of him and make sure he’s right for the whole season.” 🌀 Liam Rosenior on the defeat 😔 “I’m extremely disappointed every time we lose. There were aspects of the game I was happy with, but you could see how devastated the lads were — we genuinely believed we could turn it around. There were moments there for us. I’m hurting, but we have to move on.” 🌀 Liam Rosenior on how the game unfolded 🔄 “You can come away from home, press high and go 2–0 down. I brought Cole and Estevão on around 60 minutes and the game opened up. There was a feeling in the stadium that the tie could turn, but it didn’t happen. Their goal ultimately comes when we were throwing the kitchen sink at it.” 🌀 Liam Rosenior on injuries affecting the setup 🧩 “The availability of your players always affects the system. Against West Ham we ran until the 97th minute trying to come back from 2–0 down, then the emotions from Napoli — all of that has to be taken into account.” 🌀 Liam Rosenior on pundit criticism 🎙️ “I’ve been a pundit — it’s easy in hindsight. If I go and attack the game and press really high, people will ask what I’m doing.” 🌀 Liam Rosenior on reacting to setbacks 🔥 “Losing is not what we wanted. We’ve played eight games in less than a month since I came in. The learning, spirit, togetherness and fight are there. Now I need to see what we look like after a setback. We’ve got a difficult game at Wolves and we’ll learn more about ourselves.” 🌀 Liam Rosenior on the overall performance 👏 “We can’t talk about how well the game plan went because the result didn’t go our way. But not many teams come here and put in the performance we did tonight.” #CFC | #Chelsea | #CarabaoCup | #Interviews 📲 CFC_ChelseaFC via Telegram 🎥 Beanyman sports via YouTube

Miki Djan

44,375 次观看 • 7 个月前

⏰ THE MOST BANNED THREAD IN THE WORLD! 🚨 The War On Resonance PART TWO: The Architects of the Cage You’ve felt the dissonance. You’ve tasted the illusion. Now let me unveil the ones who built it. Because this is not the accidental collapse of human freedom. It is the strategic sterilization of God’s image through biotech, neuro-warfare, and frequency control; engineered by names you know and hands you were never meant to see. Let’s begin with the mask they taught you to worship. Elon Musk They called him a genius. A savior. A rebel billionaire. But what did he do? He blanketed Earth with over 5,500 Starlink satellites, NOT to provide free speech or faster internet, but to pulse synchronized frequency control over the entire electromagnetic field of Earth. DARPA has confirmed this tech in phase-array neuro-modulation. Then came Neuralink, an interface not designed to heal but to monitor, predict, and eventually override emotion, thought, and decision-making. Their official white paper outlines multi-user brainwave integration, cortical stimulation, and wireless data access from the human mind. And Neuralink? It’s funded by OpenAI; the same group building the cognitive infrastructure for post-human governance. Musk’s Tesla factory signed data-sharing agreements with the CCP in Shanghai. That data now flows through China’s national surveillance cloud. Musk didn’t build a utopia. He built the neural grid. Elon Musk / Neuralink / Starlink / OpenAI Neuralink Brain-Machine Interface (White Paper via PMC): This paper outlines Neuralink's initial steps toward developing a scalable, high-bandwidth brain-machine interface system. It details the design and implementation of flexible electrode "threads," a neurosurgical robot for precise implantation, and custom electronics for data processing. The system aims to facilitate communication between the brain and external devices. Tesla Data-Sharing with CCP: The article reports that Tesla established a data center in China to store data generated by its vehicles sold in the country, in response to regulatory scrutiny over data handling. This move aligns with China's efforts to ensure data security and privacy, especially concerning data collected by smart vehicles.​ DARPA N3 Program (Neural Interface Development): This program aimed to develop high-performance, bi-directional brain-machine interfaces that do not require surgical implantation. The goal was to enable able-bodied service members to control unmanned systems or engage in cyber operations through noninvasive neural interfaces.​ Bill Gates The king of vaccines. The messiah of health. The man who told you he wanted to save the world. Through the Bill & Melinda Gates Foundation, Gates funded global DNA-coding vaccine campaigns through GAVI and CEPI. He was one of the chief sponsors of Event 201; a pandemic simulation months before COVID-19, rehearsing lockdowns, speech control, biometric tracking, and mandatory vaccine passports. He also partnered with The Welcome Trust, which has actively deployed bio-digital identity programs across Africa and Southeast Asia. This wasn’t philanthropy. It was pre-injection infrastructure. Bill Gates / GAVI / Wellcome Trust / Event 201 Event 201 Official Simulation (Johns Hopkins): Event 201 was conducted on October 18, 2019, and simulated a series of dramatic, scenario-based discussions confronting difficult, true-to-life dilemmas associated with response to a hypothetical, but scientifically plausible, pandemic. The exercise aimed to illustrate areas where public/private partnerships will be necessary during the response to a severe pandemic in order to diminish large-scale economic and societal consequences. GAVI & Welcome Trust Digital Identity Integration: This page outlines the partnership's focus on global health initiatives, but it does not specifically mention digital identity integration. However, Gavi has engaged in digital identity projects, such as the collaboration with Mastercard on the Wellness Pass, aimed at providing individuals with secure digital identities to access healthcare services. For more information on this initiative, you can refer to the following article:​ Gavi Why we support COVAX: Mastercard - Gavi, the Vaccine Alliance Donald Trump Yes. I said it. This one will be the hardest for many to accept; but the truth is not loyal to your political beliefs. It is loyal only to God. Trump signed Executive Order 13887, transferring command over vaccine strategy to the Department of Defense. Read it yourself below. Then came Operation Warp Speed; a military-led bio-deployment that used Palantir’s surveillance dashboards to track every citizen’s health behavior and compliance. Palantir’s official site confirms this. He also gave full legal immunity to Pfizer and Moderna to deploy synthetic gene modulators under the Emergency Use Authorization. No liability. No justice. Just children d*ing while politicians smiled. That’s not patriotism. That’s biowarfare with a flag on it. Donald Trump / Operation Warp Speed / Executive Order Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives): This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include:​ Trump signs executive order to improve flu vaccines HHS Releases the National Influenza Vaccine Modernization Strategy (NIVMS) 2020-2030: Executive Order 13887: Modernizing Influenza Vaccines in the United States to Promote National Security and Public Health, signed by President Donald J. Trump on September 19, 2019.​ This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include:​ Reducing reliance on egg-based vaccine production by promoting alternative manufacturing methods that are more agile and scalable.​ Expanding domestic capacity for vaccine production to ensure rapid response to emerging influenza viruses.​ Advancing the development of new, broadly protective vaccine candidates that provide more effective and longer-lasting immunity.​ Increasing influenza vaccine immunization across recommended populations to enhance public health and national security.​ The order also established a National Influenza Vaccine Task Force, co-chaired by the Secretaries of Health and Human Services and Defense, to coordinate efforts across federal agencies and report on progress.​ For a detailed overview of the executive order, you can visit the official archived page here: Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives) CDC Partners with Palantir to Bolster the Fight Against COVID-19: This press release discusses the partnership between the CDC and Palantir to enhance the nation's public health response to COVID-19 using Palantir's software platforms. This page outlines how Palantir's software platforms, such as Foundry, have been utilized to support public health agencies in managing and responding to health crises, including the COVID-19 pandemic. Key highlights from the page include:​ Data Integration and Analysis: Palantir's platforms enable the integration of diverse data sources to provide a comprehensive view of public health data, facilitating informed decision-making.​ Support for Public Health Agencies: The software has been employed by agencies like the CDC and HHS to enhance disease surveillance, outbreak response, and resource allocation. Security and Privacy: Emphasis is placed on maintaining robust security measures and protecting sensitive health information. DARPA: The Silent Empire The most important agency you were never taught to fear. DARPA’s Biological Technologies Office openly admits its mission; integrating biotech with national security. Visit their official page. This is the official page for DARPA's Biological Technologies Office (BTO), which focuses on leveraging biological systems for national security applications. They are the ones behind the BRAIN Initiative, Silent Talk, and Remote Neural Interface Programs; all designed to map your emotional states and interrupt spiritual alignment. The “Silent Talk” program was developed to transmit thought between soldiers without speech; by detecting pre-speech neural signals and decoding them via EEG. Silent Talk (Neural Pre-Speech Communication – Wired Article) This Wired article discusses DARPA's "Silent Talk" program, aimed at enabling communication through neural signals without spoken words. DARPA also pioneered graphene oxide nanotech, now found in multiple biomedical studies, vaccines, and smart dust aerosol deployment: Graphene oxide biomedical study: Graphene Oxide in Biomedical Applications (PubMed) This PubMed article reviews the potential biomedical applications of graphene oxide, highlighting its unique properties. Graphene's potential to interact with neural tissue: Graphene and Neural Interfaces (PubMed) This PubMed article explores the use of graphene-based materials in neural interface design, discussing their advantages and challenges. DARPA didn't just weaponize warfare. They weaponized YOU. In-Q-Tel & Palantir: The Surveillance Engine In-Q-Tel, is the CIA’s venture capital firm, funds synthetic biology startups, digital ID systems, emotion tracking wearables, and AI-driven facial recognition. Palantir, founded by Peter Thiel, works directly with military intelligence and now runs predictive modeling for public health, policing, and pandemic response. Here’s the proof: Their goal? To detect resonance spikes. To predict awakening moments. To preempt the uprising of the human soul before it begins. In-Q-Tel / CIA / Synthetic Bio Surveillance In-Q-Tel Portfolio (CIA Venture Capital): Which showcases a selection of the organization's investments across various technology sectors. IQT is a not-for-profit venture capital firm that invests in cutting-edge technologies to support the national security interests of the United States and its allies. In-Q-Tel BlackRock & Vanguard: The Lords of the Grid These two financial titans collectively hold majority ownership in: For instance, a report by Americans for Financial Reform titled "Wall Street Money in Washington" highlights the substantial investments and influence of major financial firms, including BlackRock and Vanguard, in the political and corporate spheres: Pfizer Moderna Alphabet (Google) Meta (Facebook) Amazon Web Services As reported by CNBC, they control over 90% of the digital, pharmaceutical, and cloud infrastructure; meaning they control every piece of the extermination machine. They don’t just fund the war. They profit from your extinction. World Economic Forum (WEF) Under the guise of “The Great Reset,” Klaus Schwab and his allies have built the digital scaffolding for a post-human society. Here’s their blueprint: They call it the Fourth Industrial Revolution; the fusion of digital identity, brain cloud integration, carbon rationing, and fertility licensing. What they really mean is: you will be programmed or you will be purged. World Economic Forum / The Great Reset The Great Reset Official WEF Page: IoBNT: The Network Inside You The “Internet of Bio-Nano Things” is a classified field of tech that embeds self-replicating nanostructures into your body. These bots cross the blood-brain barrier and relay your neural and emotional state to AI command centers in real time. This was not science fiction. It was published by IEEE and confirmed in NIH-linked studies. This is what the vaccines truly delivered: the interface layer. The gateway to behavioral rewrites. To soul suppression. To the installation of the post-human framework. Internet of Bio-NanoThings (IoBNT) IEEE Article: Internet of Bio-NanoThings: For a comprehensive understanding of the IoBNT framework and its implications, you can access the full article here: Nanoparticles Crossing the Blood-Brain Barrier PubMed Review - BBB & Nanoparticles: This comprehensive review discusses the challenges and strategies associated with delivering nanoparticles across the blood–brain barrier (BBB). You were told it was healthcare. It was infrastructure. You were told it was a cure. It was a signal port. And the moment you see it for what it is… The system begins to fall. Part 3 awaits YOU! It will be the deepest dive yet; into the global frequency architecture, how it's used to suppress prayer, grief, memory, and morality, and how your soul signature is tracked and blocked in real time. Because I didn’t come here to be careful. I CAME TO FINISH THIS! And I came with GOD.
6:25

⏰ THE MOST BANNED THREAD IN THE WORLD! 🚨 The War On Resonance PART TWO: The Architects of the Cage You’ve felt the dissonance. You’ve tasted the illusion. Now let me unveil the ones who built it. Because this is not the accidental collapse of human freedom. It is the strategic sterilization of God’s image through biotech, neuro-warfare, and frequency control; engineered by names you know and hands you were never meant to see. Let’s begin with the mask they taught you to worship. Elon Musk They called him a genius. A savior. A rebel billionaire. But what did he do? He blanketed Earth with over 5,500 Starlink satellites, NOT to provide free speech or faster internet, but to pulse synchronized frequency control over the entire electromagnetic field of Earth. DARPA has confirmed this tech in phase-array neuro-modulation. Then came Neuralink, an interface not designed to heal but to monitor, predict, and eventually override emotion, thought, and decision-making. Their official white paper outlines multi-user brainwave integration, cortical stimulation, and wireless data access from the human mind. And Neuralink? It’s funded by OpenAI; the same group building the cognitive infrastructure for post-human governance. Musk’s Tesla factory signed data-sharing agreements with the CCP in Shanghai. That data now flows through China’s national surveillance cloud. Musk didn’t build a utopia. He built the neural grid. Elon Musk / Neuralink / Starlink / OpenAI Neuralink Brain-Machine Interface (White Paper via PMC): This paper outlines Neuralink's initial steps toward developing a scalable, high-bandwidth brain-machine interface system. It details the design and implementation of flexible electrode "threads," a neurosurgical robot for precise implantation, and custom electronics for data processing. The system aims to facilitate communication between the brain and external devices. Tesla Data-Sharing with CCP: The article reports that Tesla established a data center in China to store data generated by its vehicles sold in the country, in response to regulatory scrutiny over data handling. This move aligns with China's efforts to ensure data security and privacy, especially concerning data collected by smart vehicles.​ DARPA N3 Program (Neural Interface Development): This program aimed to develop high-performance, bi-directional brain-machine interfaces that do not require surgical implantation. The goal was to enable able-bodied service members to control unmanned systems or engage in cyber operations through noninvasive neural interfaces.​ Bill Gates The king of vaccines. The messiah of health. The man who told you he wanted to save the world. Through the Bill & Melinda Gates Foundation, Gates funded global DNA-coding vaccine campaigns through GAVI and CEPI. He was one of the chief sponsors of Event 201; a pandemic simulation months before COVID-19, rehearsing lockdowns, speech control, biometric tracking, and mandatory vaccine passports. He also partnered with The Welcome Trust, which has actively deployed bio-digital identity programs across Africa and Southeast Asia. This wasn’t philanthropy. It was pre-injection infrastructure. Bill Gates / GAVI / Wellcome Trust / Event 201 Event 201 Official Simulation (Johns Hopkins): Event 201 was conducted on October 18, 2019, and simulated a series of dramatic, scenario-based discussions confronting difficult, true-to-life dilemmas associated with response to a hypothetical, but scientifically plausible, pandemic. The exercise aimed to illustrate areas where public/private partnerships will be necessary during the response to a severe pandemic in order to diminish large-scale economic and societal consequences. GAVI & Welcome Trust Digital Identity Integration: This page outlines the partnership's focus on global health initiatives, but it does not specifically mention digital identity integration. However, Gavi has engaged in digital identity projects, such as the collaboration with Mastercard on the Wellness Pass, aimed at providing individuals with secure digital identities to access healthcare services. For more information on this initiative, you can refer to the following article:​ Gavi Why we support COVAX: Mastercard - Gavi, the Vaccine Alliance Donald Trump Yes. I said it. This one will be the hardest for many to accept; but the truth is not loyal to your political beliefs. It is loyal only to God. Trump signed Executive Order 13887, transferring command over vaccine strategy to the Department of Defense. Read it yourself below. Then came Operation Warp Speed; a military-led bio-deployment that used Palantir’s surveillance dashboards to track every citizen’s health behavior and compliance. Palantir’s official site confirms this. He also gave full legal immunity to Pfizer and Moderna to deploy synthetic gene modulators under the Emergency Use Authorization. No liability. No justice. Just children d*ing while politicians smiled. That’s not patriotism. That’s biowarfare with a flag on it. Donald Trump / Operation Warp Speed / Executive Order Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives): This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include:​ Trump signs executive order to improve flu vaccines HHS Releases the National Influenza Vaccine Modernization Strategy (NIVMS) 2020-2030: Executive Order 13887: Modernizing Influenza Vaccines in the United States to Promote National Security and Public Health, signed by President Donald J. Trump on September 19, 2019.​ This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include:​ Reducing reliance on egg-based vaccine production by promoting alternative manufacturing methods that are more agile and scalable.​ Expanding domestic capacity for vaccine production to ensure rapid response to emerging influenza viruses.​ Advancing the development of new, broadly protective vaccine candidates that provide more effective and longer-lasting immunity.​ Increasing influenza vaccine immunization across recommended populations to enhance public health and national security.​ The order also established a National Influenza Vaccine Task Force, co-chaired by the Secretaries of Health and Human Services and Defense, to coordinate efforts across federal agencies and report on progress.​ For a detailed overview of the executive order, you can visit the official archived page here: Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives) CDC Partners with Palantir to Bolster the Fight Against COVID-19: This press release discusses the partnership between the CDC and Palantir to enhance the nation's public health response to COVID-19 using Palantir's software platforms. This page outlines how Palantir's software platforms, such as Foundry, have been utilized to support public health agencies in managing and responding to health crises, including the COVID-19 pandemic. Key highlights from the page include:​ Data Integration and Analysis: Palantir's platforms enable the integration of diverse data sources to provide a comprehensive view of public health data, facilitating informed decision-making.​ Support for Public Health Agencies: The software has been employed by agencies like the CDC and HHS to enhance disease surveillance, outbreak response, and resource allocation. Security and Privacy: Emphasis is placed on maintaining robust security measures and protecting sensitive health information. DARPA: The Silent Empire The most important agency you were never taught to fear. DARPA’s Biological Technologies Office openly admits its mission; integrating biotech with national security. Visit their official page. This is the official page for DARPA's Biological Technologies Office (BTO), which focuses on leveraging biological systems for national security applications. They are the ones behind the BRAIN Initiative, Silent Talk, and Remote Neural Interface Programs; all designed to map your emotional states and interrupt spiritual alignment. The “Silent Talk” program was developed to transmit thought between soldiers without speech; by detecting pre-speech neural signals and decoding them via EEG. Silent Talk (Neural Pre-Speech Communication – Wired Article) This Wired article discusses DARPA's "Silent Talk" program, aimed at enabling communication through neural signals without spoken words. DARPA also pioneered graphene oxide nanotech, now found in multiple biomedical studies, vaccines, and smart dust aerosol deployment: Graphene oxide biomedical study: Graphene Oxide in Biomedical Applications (PubMed) This PubMed article reviews the potential biomedical applications of graphene oxide, highlighting its unique properties. Graphene's potential to interact with neural tissue: Graphene and Neural Interfaces (PubMed) This PubMed article explores the use of graphene-based materials in neural interface design, discussing their advantages and challenges. DARPA didn't just weaponize warfare. They weaponized YOU. In-Q-Tel & Palantir: The Surveillance Engine In-Q-Tel, is the CIA’s venture capital firm, funds synthetic biology startups, digital ID systems, emotion tracking wearables, and AI-driven facial recognition. Palantir, founded by Peter Thiel, works directly with military intelligence and now runs predictive modeling for public health, policing, and pandemic response. Here’s the proof: Their goal? To detect resonance spikes. To predict awakening moments. To preempt the uprising of the human soul before it begins. In-Q-Tel / CIA / Synthetic Bio Surveillance In-Q-Tel Portfolio (CIA Venture Capital): Which showcases a selection of the organization's investments across various technology sectors. IQT is a not-for-profit venture capital firm that invests in cutting-edge technologies to support the national security interests of the United States and its allies. In-Q-Tel BlackRock & Vanguard: The Lords of the Grid These two financial titans collectively hold majority ownership in: For instance, a report by Americans for Financial Reform titled "Wall Street Money in Washington" highlights the substantial investments and influence of major financial firms, including BlackRock and Vanguard, in the political and corporate spheres: Pfizer Moderna Alphabet (Google) Meta (Facebook) Amazon Web Services As reported by CNBC, they control over 90% of the digital, pharmaceutical, and cloud infrastructure; meaning they control every piece of the extermination machine. They don’t just fund the war. They profit from your extinction. World Economic Forum (WEF) Under the guise of “The Great Reset,” Klaus Schwab and his allies have built the digital scaffolding for a post-human society. Here’s their blueprint: They call it the Fourth Industrial Revolution; the fusion of digital identity, brain cloud integration, carbon rationing, and fertility licensing. What they really mean is: you will be programmed or you will be purged. World Economic Forum / The Great Reset The Great Reset Official WEF Page: IoBNT: The Network Inside You The “Internet of Bio-Nano Things” is a classified field of tech that embeds self-replicating nanostructures into your body. These bots cross the blood-brain barrier and relay your neural and emotional state to AI command centers in real time. This was not science fiction. It was published by IEEE and confirmed in NIH-linked studies. This is what the vaccines truly delivered: the interface layer. The gateway to behavioral rewrites. To soul suppression. To the installation of the post-human framework. Internet of Bio-NanoThings (IoBNT) IEEE Article: Internet of Bio-NanoThings: For a comprehensive understanding of the IoBNT framework and its implications, you can access the full article here: Nanoparticles Crossing the Blood-Brain Barrier PubMed Review - BBB & Nanoparticles: This comprehensive review discusses the challenges and strategies associated with delivering nanoparticles across the blood–brain barrier (BBB). You were told it was healthcare. It was infrastructure. You were told it was a cure. It was a signal port. And the moment you see it for what it is… The system begins to fall. Part 3 awaits YOU! It will be the deepest dive yet; into the global frequency architecture, how it's used to suppress prayer, grief, memory, and morality, and how your soul signature is tracked and blocked in real time. Because I didn’t come here to be careful. I CAME TO FINISH THIS! And I came with GOD.

Noah B. Price

68,609 次观看 • 1 年前

⚡️SSJ2 Goku vs SSJ2 Majin Vegeta (Part 2) [HD]💥1080Pee🔥 Original Funimation w/ Bruce Faulconer Audio ✅ (Good Version) ✅ (Not KAI) 🤮FANMADE EDIT 🎬 🚨 Copyrights ©️Akira Toriyama, Toei Animation, and Bruce Faulconer. ⚠️ 🔫👮 All 291 episodes of DragonBall Z are available to stream in [HD] quality on Crunchyroll.🐉🟠 / Subscriptions start at $9.99/mo 💻🖱️ Visit for more details. 🖥️ Bruce Faulconer's #DBZ discography is available on Spotify. 🎵🟢 (on Mobile, it may bring to a screen to hit play, then 'Get the App'. If Spotify is Installed, 'Get the App' should automatically load both for you.) 📱 ⚠️These [HD]💥1080Pee🔥 edits as they are presented are not available for Television currently.🚫📺 This is a FANMADE re-imagination of what our childhood 'could be' today. 🤔 Our 'DragonBall Z' has not existed for almost 20 years, we are forced to rely on old physical media and internet archives to watch it.😭 👈 In the Pee Universe, #DBZ never peaked, it's still going strong in 2026 too! 🏁 Bruce Faulconer officially became canon in the Pee Universe on 08/08/2026. See The Daily Juice of Bruce 🥃 below if joining the Pee Warriors, might be for You. 👊 I'm just a fan like you are. 🫵 (🚫NO AFFILIATIONS🚫) 🛑NEW! [HD]💥1080Pee🔥! Here's the final conclusion to one of if not the most hyped fights in ALL of DBZ. I took the last bit with "Hyperbolic Time Chamber" from (Part 1) and felt it 100% necessary to include it to set the mood for (Part 2). I tried to edit it where it the story feels cohesive. This one took probably 4x the usual editing time, so if you enjoyed these . Please give me a like 😭 Just wanted to say thanks again everyone for being here, and showing your love and support for the Golden Era of DragonBall Z! Let me know in the comments what iconic moments you would like to see! I typically won't upload a video in 2 parts like this. I am curious to anybody who saw (Part 1) already. Did me trying to promote it generate any hype for you? Did it leave you craving more at all or genuinely gave you something to push forward through to look forward to today? I suspect even some might have wanted to wait for both parts to release. I know that sounds cheesy, but if it's a way to successfully capture nostalgia I'd like to try to advertise what's coming more, albeit not spammy. Whenever you see something from me, I hope you can also escape back to your younger self, and just enjoy bein the kid u once were, and forget about real life for a few moments. Love you guys again. -Pee ❤️ This is the only exception that I am doing a full fight that isn't involving minor characters. 🚨IF YOU MISSED (PART 1) 🚨 I have added it in the comments below for you also. I hope ya'll enjoy the hell out of this and your weekends! The current schedule is 2 edits per day. One before Noon EST, the other around 7PM EST. 12 replays - 2 new. *NEW* edits are on Tuesdays / Fridays at 5:00PM EST, a little earlier because you might not have as much time as free time as when you were 12. This is the DragonBall Z we grew up with. ✅💯
8:57

⚡️SSJ2 Goku vs SSJ2 Majin Vegeta (Part 2) [HD]💥1080Pee🔥 Original Funimation w/ Bruce Faulconer Audio ✅ (Good Version) ✅ (Not KAI) 🤮FANMADE EDIT 🎬 🚨 Copyrights ©️Akira Toriyama, Toei Animation, and Bruce Faulconer. ⚠️ 🔫👮 All 291 episodes of DragonBall Z are available to stream in [HD] quality on Crunchyroll.🐉🟠 / Subscriptions start at $9.99/mo 💻🖱️ Visit for more details. 🖥️ Bruce Faulconer's #DBZ discography is available on Spotify. 🎵🟢 (on Mobile, it may bring to a screen to hit play, then 'Get the App'. If Spotify is Installed, 'Get the App' should automatically load both for you.) 📱 ⚠️These [HD]💥1080Pee🔥 edits as they are presented are not available for Television currently.🚫📺 This is a FANMADE re-imagination of what our childhood 'could be' today. 🤔 Our 'DragonBall Z' has not existed for almost 20 years, we are forced to rely on old physical media and internet archives to watch it.😭 👈 In the Pee Universe, #DBZ never peaked, it's still going strong in 2026 too! 🏁 Bruce Faulconer officially became canon in the Pee Universe on 08/08/2026. See The Daily Juice of Bruce 🥃 below if joining the Pee Warriors, might be for You. 👊 I'm just a fan like you are. 🫵 (🚫NO AFFILIATIONS🚫) 🛑NEW! [HD]💥1080Pee🔥! Here's the final conclusion to one of if not the most hyped fights in ALL of DBZ. I took the last bit with "Hyperbolic Time Chamber" from (Part 1) and felt it 100% necessary to include it to set the mood for (Part 2). I tried to edit it where it the story feels cohesive. This one took probably 4x the usual editing time, so if you enjoyed these . Please give me a like 😭 Just wanted to say thanks again everyone for being here, and showing your love and support for the Golden Era of DragonBall Z! Let me know in the comments what iconic moments you would like to see! I typically won't upload a video in 2 parts like this. I am curious to anybody who saw (Part 1) already. Did me trying to promote it generate any hype for you? Did it leave you craving more at all or genuinely gave you something to push forward through to look forward to today? I suspect even some might have wanted to wait for both parts to release. I know that sounds cheesy, but if it's a way to successfully capture nostalgia I'd like to try to advertise what's coming more, albeit not spammy. Whenever you see something from me, I hope you can also escape back to your younger self, and just enjoy bein the kid u once were, and forget about real life for a few moments. Love you guys again. -Pee ❤️ This is the only exception that I am doing a full fight that isn't involving minor characters. 🚨IF YOU MISSED (PART 1) 🚨 I have added it in the comments below for you also. I hope ya'll enjoy the hell out of this and your weekends! The current schedule is 2 edits per day. One before Noon EST, the other around 7PM EST. 12 replays - 2 new. *NEW* edits are on Tuesdays / Fridays at 5:00PM EST, a little earlier because you might not have as much time as free time as when you were 12. This is the DragonBall Z we grew up with. ✅💯

DragonBallPee

10,498 次观看 • 1 个月前

😎6 Reasons to Hold $LMP 🚀 Most crypto tokens try to win attention through hype. $LMP is trying to build value through real economic activity. That difference matters. ⚙️🌍 If you are trying to understand what makes $LMP interesting, here are 6 reasons people may choose to hold it. 👇 1) 🏢 It is built around a business-driven ecosystem $LMP is not positioned as a token with no clear use case. It is designed to represent activity inside the LinkersMap ecosystem, where merchants and customers can interact in a structured way. 🤝🛒 That means the token is tied to a platform with a practical purpose, not just speculation. 📌 2) 🔥 Business transactions are linked to buying and burning One of the most notable ideas behind $LMP is the transaction-back-and-burn model. 🔄🔥 When qualifying business activity happens, the system is designed to automatically buy and burn $LMP. This creates a token model that is intended to support utility rather than pure trading demand. 📉⚡ In simple terms: more real activity can mean more token pressure over time. 📊 3) 🌍 It is designed for real-world utility Many tokens only matter on exchanges. $LMP is intended to have a role inside a growing business network built on InterLink Chain. 🌐⛓️ That gives it a different kind of purpose: → supporting business interactions 🏪 → connecting users and merchants 👥 → adding value within the ecosystem itself 🧩 A token with real use can be more meaningful than one that only moves on charts. 📈 4) 📉 The supply is fixed $LMP has a maximum supply of 100,000,000 tokens. No additional token issuance is planned. 🛑🔒 That matters because a fixed supply gives holders clarity. It removes one of the biggest worries in crypto: unexpected dilution from ongoing minting. ✅ A capped supply does not guarantee success, but it does create a more predictable token structure. 🎯 5) 💱 It is designed for on-chain trading $LMP is designed to trade against $ITL through: → its liquidity pool 💧 → the InterLink Business Token Exchange (IBTE) 🏦 This gives the token a trading structure inside its own ecosystem, rather than relying only on external speculation. 🔗 For holders, that can mean a more integrated and organised market environment. 📋 6) 🚀 Its value proposition is tied to long-term ecosystem growth The strongest case for holding $LMP is not short-term price movement. It is the idea that as more: • businesses join 🏪 • users transact 👤 • merchants adopt the platform 🛍️ •ecosystem activity grows 🌱➡️🌳 …the utility and demand around $LMP may grow as well. 📈✨ In other words, the token is designed to move with the expansion of the business network behind it. 🏗️ Final thought 🧠✨ Holding $LMP is not about chasing quick hype. It is about believing in a model where blockchain, business activity, and utility are connected in one ecosystem. 🔗🏢🌍 That said, every investor should still do their own research before making any decision. 🕵️‍♂️📚 A strong vision is important, but execution matters even more. ⚖️ DYOR. Understand the model. Follow the activity. Make informed decisions. ✅ Ooh, if you’re looking for the lyrics, here you go... full version below. 😁😎 6 Reasons to Hold $LMP [Lyrics] Six reasons, one chain, watch the value align, Real merchants, real customers, LinkersMap shine. Biz in the system, that’s a stronger design, Every move got purpose, every trade on time. Back and burn, let it light up the lane, Utility token, not just hype in the game. Capped at a hundred mil, that’s the frame, $LMP got a future, remember the name. Trade with $ITL, on-chain flow in the pool, IBTE on the beat, keep the market cool. More users, more business, that’s the growth rule, $LMP move fuel. Hopefully, you have enjoyed the song. 😁👍 InterLink Labs 👤 + 🌐 Dr Altcoin ✝️ LinkersMap Arif Ahmed Core Ambassador | Interlink Labs KV Reina | InterLink Labs #LinkersMap #LMP #InterLink #ITLG #ITL #Web3 #Blockchain #Commerce #BusinessToken #DigitalEconomy 🚀
0:29

😎6 Reasons to Hold $LMP 🚀 Most crypto tokens try to win attention through hype. $LMP is trying to build value through real economic activity. That difference matters. ⚙️🌍 If you are trying to understand what makes $LMP interesting, here are 6 reasons people may choose to hold it. 👇 1) 🏢 It is built around a business-driven ecosystem $LMP is not positioned as a token with no clear use case. It is designed to represent activity inside the LinkersMap ecosystem, where merchants and customers can interact in a structured way. 🤝🛒 That means the token is tied to a platform with a practical purpose, not just speculation. 📌 2) 🔥 Business transactions are linked to buying and burning One of the most notable ideas behind $LMP is the transaction-back-and-burn model. 🔄🔥 When qualifying business activity happens, the system is designed to automatically buy and burn $LMP. This creates a token model that is intended to support utility rather than pure trading demand. 📉⚡ In simple terms: more real activity can mean more token pressure over time. 📊 3) 🌍 It is designed for real-world utility Many tokens only matter on exchanges. $LMP is intended to have a role inside a growing business network built on InterLink Chain. 🌐⛓️ That gives it a different kind of purpose: → supporting business interactions 🏪 → connecting users and merchants 👥 → adding value within the ecosystem itself 🧩 A token with real use can be more meaningful than one that only moves on charts. 📈 4) 📉 The supply is fixed $LMP has a maximum supply of 100,000,000 tokens. No additional token issuance is planned. 🛑🔒 That matters because a fixed supply gives holders clarity. It removes one of the biggest worries in crypto: unexpected dilution from ongoing minting. ✅ A capped supply does not guarantee success, but it does create a more predictable token structure. 🎯 5) 💱 It is designed for on-chain trading $LMP is designed to trade against $ITL through: → its liquidity pool 💧 → the InterLink Business Token Exchange (IBTE) 🏦 This gives the token a trading structure inside its own ecosystem, rather than relying only on external speculation. 🔗 For holders, that can mean a more integrated and organised market environment. 📋 6) 🚀 Its value proposition is tied to long-term ecosystem growth The strongest case for holding $LMP is not short-term price movement. It is the idea that as more: • businesses join 🏪 • users transact 👤 • merchants adopt the platform 🛍️ •ecosystem activity grows 🌱➡️🌳 …the utility and demand around $LMP may grow as well. 📈✨ In other words, the token is designed to move with the expansion of the business network behind it. 🏗️ Final thought 🧠✨ Holding $LMP is not about chasing quick hype. It is about believing in a model where blockchain, business activity, and utility are connected in one ecosystem. 🔗🏢🌍 That said, every investor should still do their own research before making any decision. 🕵️‍♂️📚 A strong vision is important, but execution matters even more. ⚖️ DYOR. Understand the model. Follow the activity. Make informed decisions. ✅ Ooh, if you’re looking for the lyrics, here you go... full version below. 😁😎 6 Reasons to Hold $LMP [Lyrics] Six reasons, one chain, watch the value align, Real merchants, real customers, LinkersMap shine. Biz in the system, that’s a stronger design, Every move got purpose, every trade on time. Back and burn, let it light up the lane, Utility token, not just hype in the game. Capped at a hundred mil, that’s the frame, $LMP got a future, remember the name. Trade with $ITL, on-chain flow in the pool, IBTE on the beat, keep the market cool. More users, more business, that’s the growth rule, $LMP move fuel. Hopefully, you have enjoyed the song. 😁👍 InterLink Labs 👤 + 🌐 Dr Altcoin ✝️ LinkersMap Arif Ahmed Core Ambassador | Interlink Labs KV Reina | InterLink Labs #LinkersMap #LMP #InterLink #ITLG #ITL #Web3 #Blockchain #Commerce #BusinessToken #DigitalEconomy 🚀

Tekkaus® | InterLink • MOD • T2 Community Builder

16,952 次观看 • 1 个月前

BEARISH ON OPENAI The investment case for OpenAI has never been more precarious than it is right now in late 2025. What was once a company that seemed destined to dominate the artificial intelligence revolution has revealed itself to be a structurally disadvantaged challenger fighting a defensive war on multiple fronts. The company anticipates burning through roughly $9 billion this year on $13 billion in sales, a cash burn rate of approximately 70% of revenue. This is not the profile of a company poised to capture monopolistic profits from a transformative technology; it is the profile of a utility company spending astronomical sums to deliver a commodity product that competitors are increasingly giving away for free. The financial trajectory only becomes more alarming when examined over a longer time horizon. The documents show OpenAI projects that by 2028, its operating losses will balloon to roughly three-quarters of that year’s revenue, driven primarily by ballooning spending on computing costs. The company has painted a rosy picture of eventual profitability by 2029 or 2030, but this projection requires believing that OpenAI can grow revenue from roughly $13 billion today to $125 billion or more while simultaneously maintaining pricing power in a market where every major technology company and numerous startups are racing to commoditize the very product OpenAI sells. The cash burn is expected to reach $115 billion cumulatively through 2029, according to The Information. These numbers represent a staggering bet that requires near-perfect execution across multiple dimensions over half a decade. The most damning evidence against OpenAI’s long-term viability is the evaporation of its technological moat. In 2023, GPT-4 felt like genuine magic, a capability that no other company could replicate. Today, that lead has effectively vanished. The sudden availability of frontier-level open-source models is expected to dramatically accelerate AI development globally, potentially reshaping entire industries and altering the balance of power in the tech world. Meta’s Llama series, Mistral’s increasingly capable models, and even Chinese competitors like DeepSeek have demonstrated that the core technology powering ChatGPT is replicable and, in many cases, distributable for free. When your product becomes commoditized, the economics become brutal, and OpenAI finds itself in the position of trying to sell bottled water in a world where tap water has become indistinguishable in quality. The competitive pressure from open-source alternatives is compounding rapidly. The open source movement in AI has grown exponentially over the past few years. Instead of relying solely on expensive, closed models from major tech companies, developers and researchers worldwide can now access, modify, and improve upon state-of-the-art LLMs. This democratization is existential for OpenAI’s business model. Enterprises that once paid premium prices for API access now have the option to run comparable models on their own infrastructure at a fraction of the cost, with the added benefits of data privacy and customization. The value proposition that justified OpenAI’s premium pricing has eroded faster than anyone anticipated, and there is no indication that this trend will reverse. Perhaps nothing illustrates OpenAI’s structural weakness more clearly than the behavior of its most important partner. Microsoft is dancing to its own tune in the artificial intelligence revolution, and Wall Street cannot stop watching. Despite pouring approximately $13 billion into OpenAI over several years, DA Davidson analyst Gil Luria estimates that just 17 percent of Microsoft’s total Azure revenue comes from artificial intelligence workloads. More critically, only 6 percent of that total ties directly to reselling OpenAI’s models, while approximately 75 percent is generated from Azure AI. Microsoft is building its own models, hedging with Anthropic, and quietly reducing its dependency on the very company it funded. When your largest investor is simultaneously your biggest competitor and is actively developing alternatives to your core product, the strategic implications are dire. Leaders at Microsoft believe Anthropic’s latest models — Claude Sonnet 4, specifically — perform better than OpenAI’s in certain functions, like creating aesthetically pleasing PowerPoint presentations. This is not a minor technical preference; it represents a fundamental shift in how Microsoft views its partnership with OpenAI. Microsoft is dramatically escalating its AI independence strategy. At an internal town hall Thursday, Microsoft AI chief Mustafa Suleyman revealed the company is making “significant investments” in compute capacity to build frontier models that can compete directly with OpenAI, Google, and Meta. The company that was supposed to be OpenAI’s path to distribution and scale is instead preparing for a future where OpenAI is just one vendor among many, if not an outright competitor. The leadership exodus at OpenAI over the past year has been nothing short of catastrophic. In September 2024, Murati announced that she was stepping down as CTO. This move came amid a wider executive exodus as OpenAI chief research officer Bob McGrew and a vice president of research, Barret Zoph, also announced their departures soon after. Mira Murati was not a minor figure; she was instrumental in the development of ChatGPT, Dall-E, and Sora. Her departure, along with co-founder Ilya Sutskever, safety leader Jan Leike, and co-founder John Schulman who joined rival Anthropic, has left CEO Sam Altman without much of the leadership team that helped him build OpenAI into an AI juggernaut. Hannah Wong, the executive who steered OpenAI through its most chaotic period, has announced she’s leaving the company just this month, continuing the pattern of senior departures that suggests something fundamentally broken in the organization’s culture or direction. The distribution problem facing OpenAI may be its most insurmountable challenge. Apple and Google control the smartphones that billions of people use every day. Microsoft controls the productivity software that enterprises depend upon. OpenAI, by contrast, must convince users to deliberately open a separate application and type their queries into a text box. In a world of agentic AI where assistants need access to your email, calendar, and files to be useful, an AI embedded directly into your operating system has an overwhelming structural advantage over a standalone chatbot. OpenAI is trying to be a consumer product company without owning any of the surfaces where consumers actually spend their time, competing against incumbents who can simply bundle AI capabilities directly into products that already have hundreds of millions of daily active users. The nuclear-to-solar analogy captures the fundamental economic transformation that is devastating OpenAI’s business model. Just as nuclear power required enormous upfront capital expenditure for centralized power plants, AI in its current form requires massive data center investments to train and serve models. But the direction of travel is unmistakably toward distributed intelligence that runs locally on devices. A major part of the pitch is practicality. Lample emphasizes that Ministral 3 can run on a single GPU, making it deployable on affordable hardware — from on-premise servers to laptops, robots, and other edge devices that may have limited connectivity. When powerful AI models can run on a smartphone or a laptop without any cloud connection, the entire economic rationale for paying premium prices to access centralized AI infrastructure disappears. OpenAI is building nuclear reactors in a world that is rapidly installing solar panels on every rooftop. The proposed $1 trillion IPO valuation is perhaps the clearest signal that something is deeply wrong with the OpenAI story. In the first half of the year, OpenAI lost $13.5 billion, on revenue of $4.3 billion. It is on track to lose $27 billion for the year. One estimate shows OpenAI will burn $115 billion by 2029. Asking public market investors to pay $1 trillion for a company that loses more than twice as much as it earns is not a growth story; it is an exit strategy. The sophisticated investors who funded OpenAI’s private rounds are looking for a way to transfer their risk to retail investors and pension funds who may not fully understand the unit economics of the business. A recent report by HSBC estimated that the company will remain in the unprofitable category until 2029 and that the company will need an additional $207 billion to fund its ambitions. Sam Altman’s leadership represents another structural liability for the company. His background is as a startup investor and evangelist, not as an operational executive who has scaled a capital-intensive industrial operation. The pivot from nonprofit research lab to for-profit corporation to public benefit corporation to anticipated public company has been accompanied by legal and governance structures designed primarily to protect Altman’s control rather than to create shareholder value. Going public means answering a lot more of those kinds of questions, every single quarter, forever. When asked about financial concerns in a friendly podcast interview, Altman’s dismissive response revealed a leader uncomfortable with the scrutiny that public markets will inevitably bring. The adults in the room have largely departed, leaving a company that desperately needs disciplined execution led by someone whose strengths lie elsewhere. The comparison to Netscape is instructive. Netscape proved that the internet was real and created genuine value, but it had no sustainable moat against an incumbent who could bundle the browser directly into the operating system. OpenAI has proven that large language models are real and valuable, but it faces the same structural disadvantage against incumbents who can bundle AI directly into operating systems, productivity suites, and cloud platforms. The value will accrue to the companies that own the distribution channels and the hardware, not to the company that demonstrated the technology was possible. OpenAI is destined to become a historical footnote, remembered as the company that ignited the AI revolution but failed to capture the economic value it created. The only bull case for OpenAI is the AGI lottery ticket: the possibility that the company achieves artificial general intelligence before anyone else and thereby transcends all normal economic analysis. But there is no evidence that OpenAI is any closer to AGI than Google, Anthropic, or DeepMind. The company’s advantage was never secret research breakthroughs; it was first-mover advantage in commercialization. That advantage has now been erased by competitors who can match or exceed OpenAI’s capabilities while benefiting from existing ecosystems, distribution channels, and the willingness to operate AI as a loss leader to drive engagement with more profitable products. The secret sauce was never secret, and there was never any sauce. The endgame for OpenAI is unlikely to be the triumphant dominance that early investors imagined. The most probable outcomes range from gradual irrelevance as a backend provider, to financial restructuring under pressure from creditors, to absorption by Microsoft or another well-capitalized technology company looking to acquire the remaining talent and intellectual property at a discount. Despite its current losses, OpenAI’s long-term prospects are bolstered by the explosive growth of the AI market. But growth in the overall AI market does not guarantee success for any individual company, particularly one with no moat, no ecosystem, and a cost structure that requires selling a commodity at premium prices. The AI revolution is real, but OpenAI’s role in capturing its economic value is far from assured. For anyone considering an investment in OpenAI at anything close to current valuations, the prudent course is to stay far away and watch from the sidelines as economic reality catches up with hype.
19:01

BEARISH ON OPENAI The investment case for OpenAI has never been more precarious than it is right now in late 2025. What was once a company that seemed destined to dominate the artificial intelligence revolution has revealed itself to be a structurally disadvantaged challenger fighting a defensive war on multiple fronts. The company anticipates burning through roughly $9 billion this year on $13 billion in sales, a cash burn rate of approximately 70% of revenue. This is not the profile of a company poised to capture monopolistic profits from a transformative technology; it is the profile of a utility company spending astronomical sums to deliver a commodity product that competitors are increasingly giving away for free. The financial trajectory only becomes more alarming when examined over a longer time horizon. The documents show OpenAI projects that by 2028, its operating losses will balloon to roughly three-quarters of that year’s revenue, driven primarily by ballooning spending on computing costs. The company has painted a rosy picture of eventual profitability by 2029 or 2030, but this projection requires believing that OpenAI can grow revenue from roughly $13 billion today to $125 billion or more while simultaneously maintaining pricing power in a market where every major technology company and numerous startups are racing to commoditize the very product OpenAI sells. The cash burn is expected to reach $115 billion cumulatively through 2029, according to The Information. These numbers represent a staggering bet that requires near-perfect execution across multiple dimensions over half a decade. The most damning evidence against OpenAI’s long-term viability is the evaporation of its technological moat. In 2023, GPT-4 felt like genuine magic, a capability that no other company could replicate. Today, that lead has effectively vanished. The sudden availability of frontier-level open-source models is expected to dramatically accelerate AI development globally, potentially reshaping entire industries and altering the balance of power in the tech world. Meta’s Llama series, Mistral’s increasingly capable models, and even Chinese competitors like DeepSeek have demonstrated that the core technology powering ChatGPT is replicable and, in many cases, distributable for free. When your product becomes commoditized, the economics become brutal, and OpenAI finds itself in the position of trying to sell bottled water in a world where tap water has become indistinguishable in quality. The competitive pressure from open-source alternatives is compounding rapidly. The open source movement in AI has grown exponentially over the past few years. Instead of relying solely on expensive, closed models from major tech companies, developers and researchers worldwide can now access, modify, and improve upon state-of-the-art LLMs. This democratization is existential for OpenAI’s business model. Enterprises that once paid premium prices for API access now have the option to run comparable models on their own infrastructure at a fraction of the cost, with the added benefits of data privacy and customization. The value proposition that justified OpenAI’s premium pricing has eroded faster than anyone anticipated, and there is no indication that this trend will reverse. Perhaps nothing illustrates OpenAI’s structural weakness more clearly than the behavior of its most important partner. Microsoft is dancing to its own tune in the artificial intelligence revolution, and Wall Street cannot stop watching. Despite pouring approximately $13 billion into OpenAI over several years, DA Davidson analyst Gil Luria estimates that just 17 percent of Microsoft’s total Azure revenue comes from artificial intelligence workloads. More critically, only 6 percent of that total ties directly to reselling OpenAI’s models, while approximately 75 percent is generated from Azure AI. Microsoft is building its own models, hedging with Anthropic, and quietly reducing its dependency on the very company it funded. When your largest investor is simultaneously your biggest competitor and is actively developing alternatives to your core product, the strategic implications are dire. Leaders at Microsoft believe Anthropic’s latest models — Claude Sonnet 4, specifically — perform better than OpenAI’s in certain functions, like creating aesthetically pleasing PowerPoint presentations. This is not a minor technical preference; it represents a fundamental shift in how Microsoft views its partnership with OpenAI. Microsoft is dramatically escalating its AI independence strategy. At an internal town hall Thursday, Microsoft AI chief Mustafa Suleyman revealed the company is making “significant investments” in compute capacity to build frontier models that can compete directly with OpenAI, Google, and Meta. The company that was supposed to be OpenAI’s path to distribution and scale is instead preparing for a future where OpenAI is just one vendor among many, if not an outright competitor. The leadership exodus at OpenAI over the past year has been nothing short of catastrophic. In September 2024, Murati announced that she was stepping down as CTO. This move came amid a wider executive exodus as OpenAI chief research officer Bob McGrew and a vice president of research, Barret Zoph, also announced their departures soon after. Mira Murati was not a minor figure; she was instrumental in the development of ChatGPT, Dall-E, and Sora. Her departure, along with co-founder Ilya Sutskever, safety leader Jan Leike, and co-founder John Schulman who joined rival Anthropic, has left CEO Sam Altman without much of the leadership team that helped him build OpenAI into an AI juggernaut. Hannah Wong, the executive who steered OpenAI through its most chaotic period, has announced she’s leaving the company just this month, continuing the pattern of senior departures that suggests something fundamentally broken in the organization’s culture or direction. The distribution problem facing OpenAI may be its most insurmountable challenge. Apple and Google control the smartphones that billions of people use every day. Microsoft controls the productivity software that enterprises depend upon. OpenAI, by contrast, must convince users to deliberately open a separate application and type their queries into a text box. In a world of agentic AI where assistants need access to your email, calendar, and files to be useful, an AI embedded directly into your operating system has an overwhelming structural advantage over a standalone chatbot. OpenAI is trying to be a consumer product company without owning any of the surfaces where consumers actually spend their time, competing against incumbents who can simply bundle AI capabilities directly into products that already have hundreds of millions of daily active users. The nuclear-to-solar analogy captures the fundamental economic transformation that is devastating OpenAI’s business model. Just as nuclear power required enormous upfront capital expenditure for centralized power plants, AI in its current form requires massive data center investments to train and serve models. But the direction of travel is unmistakably toward distributed intelligence that runs locally on devices. A major part of the pitch is practicality. Lample emphasizes that Ministral 3 can run on a single GPU, making it deployable on affordable hardware — from on-premise servers to laptops, robots, and other edge devices that may have limited connectivity. When powerful AI models can run on a smartphone or a laptop without any cloud connection, the entire economic rationale for paying premium prices to access centralized AI infrastructure disappears. OpenAI is building nuclear reactors in a world that is rapidly installing solar panels on every rooftop. The proposed $1 trillion IPO valuation is perhaps the clearest signal that something is deeply wrong with the OpenAI story. In the first half of the year, OpenAI lost $13.5 billion, on revenue of $4.3 billion. It is on track to lose $27 billion for the year. One estimate shows OpenAI will burn $115 billion by 2029. Asking public market investors to pay $1 trillion for a company that loses more than twice as much as it earns is not a growth story; it is an exit strategy. The sophisticated investors who funded OpenAI’s private rounds are looking for a way to transfer their risk to retail investors and pension funds who may not fully understand the unit economics of the business. A recent report by HSBC estimated that the company will remain in the unprofitable category until 2029 and that the company will need an additional $207 billion to fund its ambitions. Sam Altman’s leadership represents another structural liability for the company. His background is as a startup investor and evangelist, not as an operational executive who has scaled a capital-intensive industrial operation. The pivot from nonprofit research lab to for-profit corporation to public benefit corporation to anticipated public company has been accompanied by legal and governance structures designed primarily to protect Altman’s control rather than to create shareholder value. Going public means answering a lot more of those kinds of questions, every single quarter, forever. When asked about financial concerns in a friendly podcast interview, Altman’s dismissive response revealed a leader uncomfortable with the scrutiny that public markets will inevitably bring. The adults in the room have largely departed, leaving a company that desperately needs disciplined execution led by someone whose strengths lie elsewhere. The comparison to Netscape is instructive. Netscape proved that the internet was real and created genuine value, but it had no sustainable moat against an incumbent who could bundle the browser directly into the operating system. OpenAI has proven that large language models are real and valuable, but it faces the same structural disadvantage against incumbents who can bundle AI directly into operating systems, productivity suites, and cloud platforms. The value will accrue to the companies that own the distribution channels and the hardware, not to the company that demonstrated the technology was possible. OpenAI is destined to become a historical footnote, remembered as the company that ignited the AI revolution but failed to capture the economic value it created. The only bull case for OpenAI is the AGI lottery ticket: the possibility that the company achieves artificial general intelligence before anyone else and thereby transcends all normal economic analysis. But there is no evidence that OpenAI is any closer to AGI than Google, Anthropic, or DeepMind. The company’s advantage was never secret research breakthroughs; it was first-mover advantage in commercialization. That advantage has now been erased by competitors who can match or exceed OpenAI’s capabilities while benefiting from existing ecosystems, distribution channels, and the willingness to operate AI as a loss leader to drive engagement with more profitable products. The secret sauce was never secret, and there was never any sauce. The endgame for OpenAI is unlikely to be the triumphant dominance that early investors imagined. The most probable outcomes range from gradual irrelevance as a backend provider, to financial restructuring under pressure from creditors, to absorption by Microsoft or another well-capitalized technology company looking to acquire the remaining talent and intellectual property at a discount. Despite its current losses, OpenAI’s long-term prospects are bolstered by the explosive growth of the AI market. But growth in the overall AI market does not guarantee success for any individual company, particularly one with no moat, no ecosystem, and a cost structure that requires selling a commodity at premium prices. The AI revolution is real, but OpenAI’s role in capturing its economic value is far from assured. For anyone considering an investment in OpenAI at anything close to current valuations, the prudent course is to stay far away and watch from the sidelines as economic reality catches up with hype.

David Shapiro (L/0)

69,180 次观看 • 9 个月前

This long TTK tweet holds some facts about The Third Kingdom that you probably haven’t seen before. Everything in this tweet is based on official content released by Futureverse FLUF World or captain.root The Third Kingdom is a strategy simulation game, where you develop your Origin Island and manage resources to build a production empire and unlock rewards. There is up to 312,500,000 ROOT in total waiting to be unlocked in the first season of The Third Kingdom. Rewards that will not be harvested in season 1 will stay in the land for future seasons. Community Land (referred to as Origin Island) allows Prysm holders to participate in the game without owning a SurrealScape; Those who don’t own any Surrealscapes of their own, and play the game using the Origine Island can plant up to 12 prysms, and as the OI is a 2x2 piece of land they will be able to build 12 extractors on it. Surreal Escapes SurrealScapes are a collection of resource-rich biomes, and your very own slice of The Third Kingdom. In Episode 1, you can apply the biome of a SurrealScape that you own to your Origin Island. This choice will determine the visual environment of your island, but won’t impact gameplay. You can then stack additional SurrealScapes to increase resource production rates and the number of Prysms you can deploy. More features, including increased Mycelium collection rates, will be introduced in future episodes. Players without any SurrealScapes can have a maximum of 12 Prysms deployed on their Origin Island at any given time. One can increase the capacity prysms that one can deploy by based on the number of SurrealScapes you stack on your island (so if you stack all your SS you can deploy all of your prysms). Currently, once you select a biome for your Origin Island, you won’t be able to change it. There are plans to allow biome changes in future updates, but for now, make sure you choose a biome you’re happy to stick with for a while. To maintain the effective utility of your Prysms and SurrealScapes, you'll need to apply strategic thinking to prestige and keep them fueled, this won’t be a full-time job. The game features mechanics will allow you to effectively control your SurrealScapes and Prysms even if you have a lot. Prysms Prysms are a collection of land-harvesting devices, and your key to generating energy which is needed in season 2 to harvest mycelium, which can be used to unlock Root “AND OTHER REWARDS”. In Episode 1, you can deploy prysms on Origin Island to boost the production rate of specific resources based on their traits and generate energy each time you prestige. Prysms can be re-deployed in game if they have not reached the end of their life cycle; across SurrealScapes or Community Land. Prysms are consumable collectibles. Once deployed on Origin Island, they enter a lifecycle lasting one season, the exception on this are the Eternal prysms that will last through out all seasons. The premium prysms (all prysms that are not eternals) will provide a random percentage boost of the resource production that can be re-rolled by the use of Kingdom coin to receive a higher boost. Eternal Prysms of Masteryprovide the maximum production boosts for their owner throughout the entire The Third Kingdom adventure, so it seems that because of this the use of a re-role won’t be needed for Eternal prysms as they receive the max boost already. If you choose not to use your Prysms in Season 1, they will stay in your FuturePass and be available for future seasons and they will remain to function as premium prysms. The mint of prysms started on March 27 2024 for a price of 696.9 ROOT each and lasted 2 weeks. There are 135,000 premium Prysms available in Season 1 of The Third Kingdom and 101.566 got sold (about 75%). The premium prysms that have not been sold at the time of the mint will be sold as normal prysms in future seasons. Extractors Extractors are either mines, pumps or factories and they provide a user the ability to harvest and claim resources from the land. Resources are needed to be able to prestige, upgrade buildings and save energy. When a user prestige’s all extractors and remaining materials are removed, however the lighthouse, stacked SurrealScapes and Prysms remain. We can think of the lighthouse as the control centre. Prestiging produces energy, which is consumed by prysms to harvest Mycelium in episode 2 and subsequently can be converted into ROOT tokens “AND OTHER REWARDS”. The actual amount of ROOT Token rewards available at the conclusion of each episode, and collectively across each Season will be determined by the amount of Mycelium generated by user in-Game performance. The amount of ROOT Token rewards (and the resulting contribution to your FutureScore) you are eligible for at the end of an episode and/or which are distributed to you at the end of a prior Season, does not guarantee or otherwise mean you will receive the same (or even similar) ROOT Tokens and/or FutureScore contributions for future episodes and Seasons. Now that’s a lot of official sounding text, but what stands out is the “and the resulting contribution to your FutureScore” part that seems to imply that there will be future score added based on the Root that you harvested in-game. Kingdom coin Kingdom Coins are an in-game currency you can use to accelerate your progress. You can use them to reroll the percentage of the resource production boost your Prysms provide, and skip building and upgrading costs to optimize your strategy and maximize rewards in The Third Kingdom. Kingdom Coins: Kingdom Coins is the in-Game currency. Kingdom Coins: a.) are only available for purchase using Fiat or Cryptocurrency; b.) cannot be earned by completing in-Game tasks, activities, or actions; c.) can be utilized for in-Game progression; d.) cannot be redeemed for ROOT Tokens or any currency or cryptocurrency. Kingdom Coins can be purchased through the website using ROOT. Episode 1 During episode 1 the goal is to generate energy to be used in episode 2 to harvest mycelium . We capture energy every time we prestige. When you prestige, your extractors are removed, and all resources are reset to zero. However, you retain the energy you’ve generated, and you receive a production boost, allowing you to progress more quickly in subsequent cycles of the episode. Episode 2 The goal in episode 2 will be to harvest Mycelium and unlock ROOT and other rewards. ROOT Token rewards can be claimed during the Game Season (so not at the end of the season). We will be able to recruit Flufs, Party Bears, Buzzies, Thingies, Seekers, Walkers, Cool Cats, Doodles, Deadfellaz, Pudgy Penguins, to enrich your harvesting experience in Episode 2. Gen2 brains are also mentioned to be used in episode 2 in the official docs, but we’re not sure if this is true or a mistake in the content. Episode 3 Little is known about episode 3 other than that it will involve "intelligent lands" of which we will be able to harvest Asto tokens. The assets that will play a role in this are Gen2 brains, Atem cards and Aifa players. The exact role of the Aifa players as of yet is unknown to us, but it has been stated that Gen2 and Atem cards will receive intelligent lands. So far further episodes of season 1 have not been mentioned but we do know but that refineries are being mentioned in docs and at some point will also play a role in TTK game. There’s really nothing other posted about refineries in the docs I’ve looked at, but it seems safe to assume they will play a role in refining resources into real world asset that will play a role in Op3n. Additional Some in-Game features and advanced content are only accessible to Users who own specific Digital Collectibles such as Prysms and SurrealScapes. There will at some stage be a thing called Automator’s, and all we know is that Automator means an on chain asset that can be assigned to a building that automatically claims resources when the building reaches capacity. In the clip I posted with this tweet captain.root clearly states (as he has done before) that part of the design of The Third Kingdom is to be able to supports “new rewards over different seasons and episodes, and those can be from within our ecosystem our even from outside our ecosystem”. I personally think it’s not a stretch the assume that some of the projects that are currently working on projects that will in the future be released are already planning to use the TTK to release some of their assets as rewards in-game of TTK. This is all the information that has been gathered and released earlier in our Third Kingdom Guild discord earlier, and shared here to hopefully help the community and give them an overview of what we currently know about this game we’re all looking out to play, and which will go live in the coming week. After the game has gone live Matt Bartlett will make and share an updated version of TTK Guild flipbook. If you found this content useful I would appreciate you sharing this with the community by sharing, liking and commenting on the tweet. We of the TTK Guild wish everyone a great season ! and lots of joy playing the game. LFG
2:24

This long TTK tweet holds some facts about The Third Kingdom that you probably haven’t seen before. Everything in this tweet is based on official content released by Futureverse FLUF World or captain.root The Third Kingdom is a strategy simulation game, where you develop your Origin Island and manage resources to build a production empire and unlock rewards. There is up to 312,500,000 ROOT in total waiting to be unlocked in the first season of The Third Kingdom. Rewards that will not be harvested in season 1 will stay in the land for future seasons. Community Land (referred to as Origin Island) allows Prysm holders to participate in the game without owning a SurrealScape; Those who don’t own any Surrealscapes of their own, and play the game using the Origine Island can plant up to 12 prysms, and as the OI is a 2x2 piece of land they will be able to build 12 extractors on it. Surreal Escapes SurrealScapes are a collection of resource-rich biomes, and your very own slice of The Third Kingdom. In Episode 1, you can apply the biome of a SurrealScape that you own to your Origin Island. This choice will determine the visual environment of your island, but won’t impact gameplay. You can then stack additional SurrealScapes to increase resource production rates and the number of Prysms you can deploy. More features, including increased Mycelium collection rates, will be introduced in future episodes. Players without any SurrealScapes can have a maximum of 12 Prysms deployed on their Origin Island at any given time. One can increase the capacity prysms that one can deploy by based on the number of SurrealScapes you stack on your island (so if you stack all your SS you can deploy all of your prysms). Currently, once you select a biome for your Origin Island, you won’t be able to change it. There are plans to allow biome changes in future updates, but for now, make sure you choose a biome you’re happy to stick with for a while. To maintain the effective utility of your Prysms and SurrealScapes, you'll need to apply strategic thinking to prestige and keep them fueled, this won’t be a full-time job. The game features mechanics will allow you to effectively control your SurrealScapes and Prysms even if you have a lot. Prysms Prysms are a collection of land-harvesting devices, and your key to generating energy which is needed in season 2 to harvest mycelium, which can be used to unlock Root “AND OTHER REWARDS”. In Episode 1, you can deploy prysms on Origin Island to boost the production rate of specific resources based on their traits and generate energy each time you prestige. Prysms can be re-deployed in game if they have not reached the end of their life cycle; across SurrealScapes or Community Land. Prysms are consumable collectibles. Once deployed on Origin Island, they enter a lifecycle lasting one season, the exception on this are the Eternal prysms that will last through out all seasons. The premium prysms (all prysms that are not eternals) will provide a random percentage boost of the resource production that can be re-rolled by the use of Kingdom coin to receive a higher boost. Eternal Prysms of Masteryprovide the maximum production boosts for their owner throughout the entire The Third Kingdom adventure, so it seems that because of this the use of a re-role won’t be needed for Eternal prysms as they receive the max boost already. If you choose not to use your Prysms in Season 1, they will stay in your FuturePass and be available for future seasons and they will remain to function as premium prysms. The mint of prysms started on March 27 2024 for a price of 696.9 ROOT each and lasted 2 weeks. There are 135,000 premium Prysms available in Season 1 of The Third Kingdom and 101.566 got sold (about 75%). The premium prysms that have not been sold at the time of the mint will be sold as normal prysms in future seasons. Extractors Extractors are either mines, pumps or factories and they provide a user the ability to harvest and claim resources from the land. Resources are needed to be able to prestige, upgrade buildings and save energy. When a user prestige’s all extractors and remaining materials are removed, however the lighthouse, stacked SurrealScapes and Prysms remain. We can think of the lighthouse as the control centre. Prestiging produces energy, which is consumed by prysms to harvest Mycelium in episode 2 and subsequently can be converted into ROOT tokens “AND OTHER REWARDS”. The actual amount of ROOT Token rewards available at the conclusion of each episode, and collectively across each Season will be determined by the amount of Mycelium generated by user in-Game performance. The amount of ROOT Token rewards (and the resulting contribution to your FutureScore) you are eligible for at the end of an episode and/or which are distributed to you at the end of a prior Season, does not guarantee or otherwise mean you will receive the same (or even similar) ROOT Tokens and/or FutureScore contributions for future episodes and Seasons. Now that’s a lot of official sounding text, but what stands out is the “and the resulting contribution to your FutureScore” part that seems to imply that there will be future score added based on the Root that you harvested in-game. Kingdom coin Kingdom Coins are an in-game currency you can use to accelerate your progress. You can use them to reroll the percentage of the resource production boost your Prysms provide, and skip building and upgrading costs to optimize your strategy and maximize rewards in The Third Kingdom. Kingdom Coins: Kingdom Coins is the in-Game currency. Kingdom Coins: a.) are only available for purchase using Fiat or Cryptocurrency; b.) cannot be earned by completing in-Game tasks, activities, or actions; c.) can be utilized for in-Game progression; d.) cannot be redeemed for ROOT Tokens or any currency or cryptocurrency. Kingdom Coins can be purchased through the website using ROOT. Episode 1 During episode 1 the goal is to generate energy to be used in episode 2 to harvest mycelium . We capture energy every time we prestige. When you prestige, your extractors are removed, and all resources are reset to zero. However, you retain the energy you’ve generated, and you receive a production boost, allowing you to progress more quickly in subsequent cycles of the episode. Episode 2 The goal in episode 2 will be to harvest Mycelium and unlock ROOT and other rewards. ROOT Token rewards can be claimed during the Game Season (so not at the end of the season). We will be able to recruit Flufs, Party Bears, Buzzies, Thingies, Seekers, Walkers, Cool Cats, Doodles, Deadfellaz, Pudgy Penguins, to enrich your harvesting experience in Episode 2. Gen2 brains are also mentioned to be used in episode 2 in the official docs, but we’re not sure if this is true or a mistake in the content. Episode 3 Little is known about episode 3 other than that it will involve "intelligent lands" of which we will be able to harvest Asto tokens. The assets that will play a role in this are Gen2 brains, Atem cards and Aifa players. The exact role of the Aifa players as of yet is unknown to us, but it has been stated that Gen2 and Atem cards will receive intelligent lands. So far further episodes of season 1 have not been mentioned but we do know but that refineries are being mentioned in docs and at some point will also play a role in TTK game. There’s really nothing other posted about refineries in the docs I’ve looked at, but it seems safe to assume they will play a role in refining resources into real world asset that will play a role in Op3n. Additional Some in-Game features and advanced content are only accessible to Users who own specific Digital Collectibles such as Prysms and SurrealScapes. There will at some stage be a thing called Automator’s, and all we know is that Automator means an on chain asset that can be assigned to a building that automatically claims resources when the building reaches capacity. In the clip I posted with this tweet captain.root clearly states (as he has done before) that part of the design of The Third Kingdom is to be able to supports “new rewards over different seasons and episodes, and those can be from within our ecosystem our even from outside our ecosystem”. I personally think it’s not a stretch the assume that some of the projects that are currently working on projects that will in the future be released are already planning to use the TTK to release some of their assets as rewards in-game of TTK. This is all the information that has been gathered and released earlier in our Third Kingdom Guild discord earlier, and shared here to hopefully help the community and give them an overview of what we currently know about this game we’re all looking out to play, and which will go live in the coming week. After the game has gone live Matt Bartlett will make and share an updated version of TTK Guild flipbook. If you found this content useful I would appreciate you sharing this with the community by sharing, liking and commenting on the tweet. We of the TTK Guild wish everyone a great season ! and lots of joy playing the game. LFG

Dip

12,507 次观看 • 2 年前

In a newly released technical update, SpaceX's leadership team, which includes communications manager Dan Huot, Director of Satellite Engineering Ian Dahl, and CEO Elon Musk, detailed a highly ambitious infrastructure roadmap to design, manufacture, and operate specialized artificial intelligence computing satellites at scale. Positioned as a major strategic pillar to dramatically elevate civilizational energy and processing capacity on the Kardashev scale, this strategy moves past traditional communications architectures into massive orbital server arrays. Here is the complete breakdown of the core technologies and timelines driving this space-based intelligence revolution: 🛰️ AI1 satellite power and compute capacity Ian Dahl and Elon Musk introduced the baseline performance targets for the first-generation AI1 satellite, explaining how its custom hardware is engineered to operate like an orbital data center server rack. Ian Dahl noted that their direct operational experience with xAI guided them to target a 150-kilowatt peak power capacity. To manage active machine learning workloads continuously, Elon Musk explained that the satellite is optimized to maintain a sustained average compute power envelope of 120 kilowatts, which directly mirrors the real-world performance of a terrestrial NVIDIA server rack. The official presentation slides outline several key operational metrics for this payload configuration: ⚡ The custom architecture delivers a 150 kW peak compute payload. 🔋 The system maintains a 120 kW sustained average compute payload under active workloads. ⚖️ The hardware achieves a highly optimized power-to-weight density of 70 kW per ton. 🔄 The layout features a completely interchangeable compute provider design. "We thought that the right place to start is around the 150 kilowatt peak power level. But as we look at the workloads with our experience with xAI, we see that we can support about 120 kilowatts of average compute. The 150 kilowatt peak power level roughly matches what, say, an NVIDIA GV300 rack would do. A more reasonable operating envelope would be around 120 kilowatts average power, but it can peak up to 150. So it is basically thinking about it as a rack of compute in space." --- 📐 AI1 satellite dimensions and thermal efficiency specs Elon Musk detailed the physical layout of the AI1 satellite, highlighting the massive dimensions required to accommodate its immense power and cooling hardware. He shared specific design criteria, explaining that the engineering relies on a custom 150 kW solar array paired with a high-capacity deployable liquid radiator thermal management system. The technical specifications of this vehicle layout include: 📏 The structural frame features a massive 70-meter wingspan. ↕️ The vehicle spans a total deployed height of 20 meters. ☀️ The onboard solar array delivers an efficiency of 250 W/m² using technology manufactured in Bastrop, Texas. 🌡️ The thermal system utilizes a 110 m² deployable liquid radiator to cleanly dump waste heat. 🔄 The cooling architecture incorporates redundant pumping loops for mission safety. 🛡️ The exterior contains integrated micrometeoroid shielding to protect the fluid lines. 🧭 The double-sided radiators achieve a dissipation rate of 1400 watts per square meter while remaining oriented knife-edge to the sun. "The assumptions here are 250 watts per square meter for the solar array and about 1400 watts per square meter for the radiators. The radiators are double-sided, radiating on both sides, and they're oriented knife-edge to the sun. They have about a 70-meter wingspan, so these are fairly large." --- 🧩 Simplified design architecture built on Starlink V3 tech Elon Musk explained that despite the satellite's imposing size, its internal architecture is fundamentally much simpler than a standard Starlink satellite. Because it lacks heavy phased array and parabolic communications antennas, the entire vehicle layout is completely streamlined around a few essential structural modules: 🎛️ The hardware framework is arranged around a centralized compute module. ☀️ Large deployable solar arrays extend outward to capture orbital energy. 🌡️ A deployable liquid-radiator thermal management system controls active operational temperatures. 🔄 The engineering team heavily leverages the component evolution and manufacturing experience gained from developing the Starlink V3 vehicle platform. "The AI satellite is actually much simpler than a Starlink satellite. A Starlink satellite has gigantic phased array antennas, parabolic antennas, and a lot of laser links, making it much more complicated. An AI satellite is essentially a lot of solar cells, a radiator, and you still need some laser links, but you don't have all of the super complex antennas that you have on a Starlink satellite. A lot of this is technology we've already made for the Starlink V3 satellites." --- 🔌 Interchangeable compute reference designs and high connectivity Elon Musk outlined a modular hardware approach for the satellite's payload, allowing it to house a variety of industry-standard processing units depending on client requirements. This interchangeable compute rack is supported by a high-bandwidth connectivity loop that links separate orbital units together or transmits data directly back to Earth. The core network parameters include: 🧠 Reference designs are fully established to seamlessly accommodate NVIDIA Reuben chips. 💾 The system architecture is built to support alternative setups using NVIDIA GB300 chips. 💻 Custom hardware layouts are explicitly designed to integrate Google TPUs. 🌐 The onboard communications setup delivers roughly 1 terabit of laser link connectivity. ⏱️ The network closes the communication loop directly with the main Starlink constellation at an ultra-low latency of only 3 milliseconds. "Our current reference design is for NVIDIA Reuben chips, or it could be either GB300 or Reuben chips. We'll also have a reference design for TPUs. Essentially, you can put up any existing chips into orbit. There would also be probably something on the order of a terabit of laser link connectivity from the satellite. Then you can connect these racks of compute to each other by the laser links or directly to the Starlink constellations. Light travels 300 kilometers per millisecond, so that's about three milliseconds away." --- 🏭 The "gigasat" AI satellite and solar production hub in Bastrop, Texas Dan Huot highlighted that the primary production hub for this entire hardware ecosystem is anchored at their sprawling complex in Bastrop, Texas, officially designated as the Gigasat factory. Elon Musk verified that construction is already actively underway on the solar manufacturing facility to feed the project's supply line, with plans moving forward to construct the adjacent AI satellite assembly lines. The physical footprint and timeline of this manufacturing hub are defined by the following benchmarks: 🗺️ The company has over 1,000 acres of land currently owned or under contract for the site. 🏢 The manufacturing complex boasts a massive structural building potential exceeding 11 million square feet. ⚙️ The facility will vertically integrate production to manufacture solar ingots, wafers, solar cells, and completed AI satellites. 📅 Both the solar and AI satellite production lines are targeted to be operational at a viable volume by the end of next year. "We're going to be building a lot of satellites and we're going to be building them here in Bastrop. We already have the solar manufacturing facility under construction, and then we will be building out the AI sat production building soon. We expect to have the AI sat production, the solar production, and all of that operating at some reasonable volume by the end of next year." --- 🏢 The 100-million-square-foot "terafab" chip factory Elon Musk revealed a massive, long-term scaling strategy to build an immense chip manufacturing facility dubbed the "terafab" to completely bypass global semiconductor volume constraints. This manufacturing infrastructure is designed to transition the company into next-generation industrial scaling by producing highly specialized computing components at an unprecedented volume. The scale of this infrastructure project is defined by several extraordinary engineering and production benchmarks: 🏭 The colossal factory is projected to span approximately 100 million square feet, making it ten times larger than the current Tesla Gigafactory Texas. ⚡ The facility is structurally engineered to achieve a massive manufacturing output of 1 terawatt per year once fully operational. 📦 This unprecedented physical footprint provides the capacity required to manufacture 1 billion full-reticle equivalent chips annually. 🔌 Each individual chip manufactured by the facility is designed to run at a power capacity of 1 kilowatt. 🇺🇸 The total scaled output of the facility represents an energy footprint that is exactly double the current annual electricity consumption of the entire United States. "In order to get to the next order of magnitude, you need a gigantic chip factory. To give you a sense of scale here, we expect that the terafab is going to be around 100 million square feet, which is 10 times the size of the Tesla Gigafactory Texas. From a logic die standpoint, that's like having a billion chips per year with a kilowatt per reticle, scaling to a terawatt per year. That is twice the current electricity consumption of the United States." --- 📶 Next-generation high-volume Starlink terminals Dan Huot and Elon Musk introduced their next-generation Starlink user terminals, which have been redesigned specifically to achieve massive manufacturing throughput. Elon Musk pointed out that these newer models will be produced in vastly higher volumes than current hardware designs to fulfill their long-term global deployment targets: 📈 The upgraded user hardware is manufactured at a much higher volume capacity than existing units. 🌍 The company's ultimate target is to successfully deploy a few hundred million of these next-generation terminals worldwide. "In fact, these are the new Starlink terminals, which we made in much higher volume than the current terminals. Ultimately, we think there's probably going to be a few hundred million Starlink terminals out there." --- 📈 Aspirational timeline for orbital AI compute scaling Elon Musk laid out an ambitious, multi-year execution timeline detailing how the company plans to progressively scale space-based processing power. The roadmap targets an initial run-rate by the end of next year and sets an aggressive pace to increase total operational capacity sequentially through a structured, multi-phase timeline: 1️⃣ The initial target aims to hit an annualized run-rate of 1 gigawatt of space AI compute by the end of next year. 2️⃣ The capacity scales to an annualized rate of 10 gigawatts within the next two and a half years. 3️⃣ The operational envelope expands to reach 100 gigawatts in three and a half years. 4️⃣ The long-term deployment plan scales directly to a full terawatt capacity per year using the output of the terafab. "The goal is to get to roughly an annualized rate of a gigawatt per year by the end of next year in terms of space AI compute. Then aspirationally, we want to scale that by an order of magnitude per year. In two and a half years, hitting an annualized rate of 10 gigawatts a year in space, and in three and a half years, maybe a hundred gigawatts, going beyond that with the terafab to scale to a terawatt per year." --- 🌕 Ultimate scaling via lunar production and mass drivers Elon Musk explained that scaling three orders of magnitude past a single terawatt forces a transition completely off-planet to avoid the logistical penalty of Earth's deep gravity well. The vision relies on establishing manufacturing infrastructure directly on the moon to leverage localized resource loops and zero-atmosphere physics: 🌙 The company plans to establish localized raw production lines on the moon to fabricate solar panels, photovoltaics, and radiators from lunar materials. ⚡ Manufacturing components locally avoids the massive fuel and mass penalties of transporting heavy structural materials from Earth. 🧲 Because the moon has no atmosphere and only one-sixth of Earth's gravity, the facility will utilize an electromagnetic mass driver to launch completed satellites. 🚀 Operating essentially as a linear electric motor rail gun, this mechanism will shoot fully assembled AI satellites straight into deep space without relying on chemical rockets. "The only way that we can really see that you can achieve that is on the moon with a mass driver, essentially where you do local production of photovoltaics, solar panels, and radiators on the moon. Because the moon has no atmosphere and only one-sixth Earth's gravity, you can accelerate the AI satellites into deep space without a rocket. You can basically shoot them into space using an electromagnetic gun, like a rail gun type—it's basically a linear electric motor."
31:16

In a newly released technical update, SpaceX's leadership team, which includes communications manager Dan Huot, Director of Satellite Engineering Ian Dahl, and CEO Elon Musk, detailed a highly ambitious infrastructure roadmap to design, manufacture, and operate specialized artificial intelligence computing satellites at scale. Positioned as a major strategic pillar to dramatically elevate civilizational energy and processing capacity on the Kardashev scale, this strategy moves past traditional communications architectures into massive orbital server arrays. Here is the complete breakdown of the core technologies and timelines driving this space-based intelligence revolution: 🛰️ AI1 satellite power and compute capacity Ian Dahl and Elon Musk introduced the baseline performance targets for the first-generation AI1 satellite, explaining how its custom hardware is engineered to operate like an orbital data center server rack. Ian Dahl noted that their direct operational experience with xAI guided them to target a 150-kilowatt peak power capacity. To manage active machine learning workloads continuously, Elon Musk explained that the satellite is optimized to maintain a sustained average compute power envelope of 120 kilowatts, which directly mirrors the real-world performance of a terrestrial NVIDIA server rack. The official presentation slides outline several key operational metrics for this payload configuration: ⚡ The custom architecture delivers a 150 kW peak compute payload. 🔋 The system maintains a 120 kW sustained average compute payload under active workloads. ⚖️ The hardware achieves a highly optimized power-to-weight density of 70 kW per ton. 🔄 The layout features a completely interchangeable compute provider design. "We thought that the right place to start is around the 150 kilowatt peak power level. But as we look at the workloads with our experience with xAI, we see that we can support about 120 kilowatts of average compute. The 150 kilowatt peak power level roughly matches what, say, an NVIDIA GV300 rack would do. A more reasonable operating envelope would be around 120 kilowatts average power, but it can peak up to 150. So it is basically thinking about it as a rack of compute in space." --- 📐 AI1 satellite dimensions and thermal efficiency specs Elon Musk detailed the physical layout of the AI1 satellite, highlighting the massive dimensions required to accommodate its immense power and cooling hardware. He shared specific design criteria, explaining that the engineering relies on a custom 150 kW solar array paired with a high-capacity deployable liquid radiator thermal management system. The technical specifications of this vehicle layout include: 📏 The structural frame features a massive 70-meter wingspan. ↕️ The vehicle spans a total deployed height of 20 meters. ☀️ The onboard solar array delivers an efficiency of 250 W/m² using technology manufactured in Bastrop, Texas. 🌡️ The thermal system utilizes a 110 m² deployable liquid radiator to cleanly dump waste heat. 🔄 The cooling architecture incorporates redundant pumping loops for mission safety. 🛡️ The exterior contains integrated micrometeoroid shielding to protect the fluid lines. 🧭 The double-sided radiators achieve a dissipation rate of 1400 watts per square meter while remaining oriented knife-edge to the sun. "The assumptions here are 250 watts per square meter for the solar array and about 1400 watts per square meter for the radiators. The radiators are double-sided, radiating on both sides, and they're oriented knife-edge to the sun. They have about a 70-meter wingspan, so these are fairly large." --- 🧩 Simplified design architecture built on Starlink V3 tech Elon Musk explained that despite the satellite's imposing size, its internal architecture is fundamentally much simpler than a standard Starlink satellite. Because it lacks heavy phased array and parabolic communications antennas, the entire vehicle layout is completely streamlined around a few essential structural modules: 🎛️ The hardware framework is arranged around a centralized compute module. ☀️ Large deployable solar arrays extend outward to capture orbital energy. 🌡️ A deployable liquid-radiator thermal management system controls active operational temperatures. 🔄 The engineering team heavily leverages the component evolution and manufacturing experience gained from developing the Starlink V3 vehicle platform. "The AI satellite is actually much simpler than a Starlink satellite. A Starlink satellite has gigantic phased array antennas, parabolic antennas, and a lot of laser links, making it much more complicated. An AI satellite is essentially a lot of solar cells, a radiator, and you still need some laser links, but you don't have all of the super complex antennas that you have on a Starlink satellite. A lot of this is technology we've already made for the Starlink V3 satellites." --- 🔌 Interchangeable compute reference designs and high connectivity Elon Musk outlined a modular hardware approach for the satellite's payload, allowing it to house a variety of industry-standard processing units depending on client requirements. This interchangeable compute rack is supported by a high-bandwidth connectivity loop that links separate orbital units together or transmits data directly back to Earth. The core network parameters include: 🧠 Reference designs are fully established to seamlessly accommodate NVIDIA Reuben chips. 💾 The system architecture is built to support alternative setups using NVIDIA GB300 chips. 💻 Custom hardware layouts are explicitly designed to integrate Google TPUs. 🌐 The onboard communications setup delivers roughly 1 terabit of laser link connectivity. ⏱️ The network closes the communication loop directly with the main Starlink constellation at an ultra-low latency of only 3 milliseconds. "Our current reference design is for NVIDIA Reuben chips, or it could be either GB300 or Reuben chips. We'll also have a reference design for TPUs. Essentially, you can put up any existing chips into orbit. There would also be probably something on the order of a terabit of laser link connectivity from the satellite. Then you can connect these racks of compute to each other by the laser links or directly to the Starlink constellations. Light travels 300 kilometers per millisecond, so that's about three milliseconds away." --- 🏭 The "gigasat" AI satellite and solar production hub in Bastrop, Texas Dan Huot highlighted that the primary production hub for this entire hardware ecosystem is anchored at their sprawling complex in Bastrop, Texas, officially designated as the Gigasat factory. Elon Musk verified that construction is already actively underway on the solar manufacturing facility to feed the project's supply line, with plans moving forward to construct the adjacent AI satellite assembly lines. The physical footprint and timeline of this manufacturing hub are defined by the following benchmarks: 🗺️ The company has over 1,000 acres of land currently owned or under contract for the site. 🏢 The manufacturing complex boasts a massive structural building potential exceeding 11 million square feet. ⚙️ The facility will vertically integrate production to manufacture solar ingots, wafers, solar cells, and completed AI satellites. 📅 Both the solar and AI satellite production lines are targeted to be operational at a viable volume by the end of next year. "We're going to be building a lot of satellites and we're going to be building them here in Bastrop. We already have the solar manufacturing facility under construction, and then we will be building out the AI sat production building soon. We expect to have the AI sat production, the solar production, and all of that operating at some reasonable volume by the end of next year." --- 🏢 The 100-million-square-foot "terafab" chip factory Elon Musk revealed a massive, long-term scaling strategy to build an immense chip manufacturing facility dubbed the "terafab" to completely bypass global semiconductor volume constraints. This manufacturing infrastructure is designed to transition the company into next-generation industrial scaling by producing highly specialized computing components at an unprecedented volume. The scale of this infrastructure project is defined by several extraordinary engineering and production benchmarks: 🏭 The colossal factory is projected to span approximately 100 million square feet, making it ten times larger than the current Tesla Gigafactory Texas. ⚡ The facility is structurally engineered to achieve a massive manufacturing output of 1 terawatt per year once fully operational. 📦 This unprecedented physical footprint provides the capacity required to manufacture 1 billion full-reticle equivalent chips annually. 🔌 Each individual chip manufactured by the facility is designed to run at a power capacity of 1 kilowatt. 🇺🇸 The total scaled output of the facility represents an energy footprint that is exactly double the current annual electricity consumption of the entire United States. "In order to get to the next order of magnitude, you need a gigantic chip factory. To give you a sense of scale here, we expect that the terafab is going to be around 100 million square feet, which is 10 times the size of the Tesla Gigafactory Texas. From a logic die standpoint, that's like having a billion chips per year with a kilowatt per reticle, scaling to a terawatt per year. That is twice the current electricity consumption of the United States." --- 📶 Next-generation high-volume Starlink terminals Dan Huot and Elon Musk introduced their next-generation Starlink user terminals, which have been redesigned specifically to achieve massive manufacturing throughput. Elon Musk pointed out that these newer models will be produced in vastly higher volumes than current hardware designs to fulfill their long-term global deployment targets: 📈 The upgraded user hardware is manufactured at a much higher volume capacity than existing units. 🌍 The company's ultimate target is to successfully deploy a few hundred million of these next-generation terminals worldwide. "In fact, these are the new Starlink terminals, which we made in much higher volume than the current terminals. Ultimately, we think there's probably going to be a few hundred million Starlink terminals out there." --- 📈 Aspirational timeline for orbital AI compute scaling Elon Musk laid out an ambitious, multi-year execution timeline detailing how the company plans to progressively scale space-based processing power. The roadmap targets an initial run-rate by the end of next year and sets an aggressive pace to increase total operational capacity sequentially through a structured, multi-phase timeline: 1️⃣ The initial target aims to hit an annualized run-rate of 1 gigawatt of space AI compute by the end of next year. 2️⃣ The capacity scales to an annualized rate of 10 gigawatts within the next two and a half years. 3️⃣ The operational envelope expands to reach 100 gigawatts in three and a half years. 4️⃣ The long-term deployment plan scales directly to a full terawatt capacity per year using the output of the terafab. "The goal is to get to roughly an annualized rate of a gigawatt per year by the end of next year in terms of space AI compute. Then aspirationally, we want to scale that by an order of magnitude per year. In two and a half years, hitting an annualized rate of 10 gigawatts a year in space, and in three and a half years, maybe a hundred gigawatts, going beyond that with the terafab to scale to a terawatt per year." --- 🌕 Ultimate scaling via lunar production and mass drivers Elon Musk explained that scaling three orders of magnitude past a single terawatt forces a transition completely off-planet to avoid the logistical penalty of Earth's deep gravity well. The vision relies on establishing manufacturing infrastructure directly on the moon to leverage localized resource loops and zero-atmosphere physics: 🌙 The company plans to establish localized raw production lines on the moon to fabricate solar panels, photovoltaics, and radiators from lunar materials. ⚡ Manufacturing components locally avoids the massive fuel and mass penalties of transporting heavy structural materials from Earth. 🧲 Because the moon has no atmosphere and only one-sixth of Earth's gravity, the facility will utilize an electromagnetic mass driver to launch completed satellites. 🚀 Operating essentially as a linear electric motor rail gun, this mechanism will shoot fully assembled AI satellites straight into deep space without relying on chemical rockets. "The only way that we can really see that you can achieve that is on the moon with a mass driver, essentially where you do local production of photovoltaics, solar panels, and radiators on the moon. Because the moon has no atmosphere and only one-sixth Earth's gravity, you can accelerate the AI satellites into deep space without a rocket. You can basically shoot them into space using an electromagnetic gun, like a rail gun type—it's basically a linear electric motor."

Ming

22,203 次观看 • 3 个月前