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Caffeine apps now have a way to handle real-world data. Blob Storage lets builders store large files - videos, images, PDFs - without the high cost of stable memory. Onchain hashes ensure integrity, while heavy data sits offchain. This unlocks social, learning, and media apps that people use every...

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DFINITY Foundation

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12,081 views • 1 year ago •via X (Twitter)

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You’ve heard the theory - here’s Blob Storage in action. In this short demo, a Caffeine-built learning app stores videos and PDFs seamlessly. Check out the 4K video streaming directly from blob storage 👀 This is a great example of how ICP can power real-world, data-heavy apps. Next up the team plan to deliver: ⚡️ Faster uploads 🌎 Broader performance improvements 📈 Scaling for production workloads Watch the update below ⬇️ (Global R&D update:
3:44

You’ve heard the theory - here’s Blob Storage in action. In this short demo, a Caffeine-built learning app stores videos and PDFs seamlessly. Check out the 4K video streaming directly from blob storage 👀 This is a great example of how ICP can power real-world, data-heavy apps. Next up the team plan to deliver: ⚡️ Faster uploads 🌎 Broader performance improvements 📈 Scaling for production workloads Watch the update below ⬇️ (Global R&D update:

DFINITY Foundation

15,238 views • 1 year ago

We’re breaking down barriers with Sophon to bring consumer entertainment onchain 📺 Sophon will use Avail DA and Avail’s custom Light Clients to provide the scale to meet the new era of onchain entertainment. Lightweight, fast, secure infrastructure - for all consumer applications. More below 👇 Sophon is a user-friendly ecosystem for entertainment apps that aims to enrich the digital world—covering gaming, social media, art, AI, prediction markets, and more. A key feature of this partnership is the integration of Avail's Light Client technology. Sophon will use its own branded light nodes that enable users to verify transactions directly from their phone or laptop, without relying on a centralized RPC provider or someone else’s full node. This makes decentralized applications secure, trust minimised and accessible for users and and cost-effective for builders. Avail's modular Data Availability (DA) layer will be a crucial component of Sophon’s platform. With Avail, Sophon ensures that a broad range of entertainment apps can be run securely, with scalable data availability, fast transaction finality, and sub-second completion times for users. This collaboration aligns modular scaling technologies to unlock ultra-fast transactions, low fees, and expansive decentralized entertainment applications. Your network, your rules powered by Avail Read more about the integration here:
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We’re breaking down barriers with Sophon to bring consumer entertainment onchain 📺 Sophon will use Avail DA and Avail’s custom Light Clients to provide the scale to meet the new era of onchain entertainment. Lightweight, fast, secure infrastructure - for all consumer applications. More below 👇 Sophon is a user-friendly ecosystem for entertainment apps that aims to enrich the digital world—covering gaming, social media, art, AI, prediction markets, and more. A key feature of this partnership is the integration of Avail's Light Client technology. Sophon will use its own branded light nodes that enable users to verify transactions directly from their phone or laptop, without relying on a centralized RPC provider or someone else’s full node. This makes decentralized applications secure, trust minimised and accessible for users and and cost-effective for builders. Avail's modular Data Availability (DA) layer will be a crucial component of Sophon’s platform. With Avail, Sophon ensures that a broad range of entertainment apps can be run securely, with scalable data availability, fast transaction finality, and sub-second completion times for users. This collaboration aligns modular scaling technologies to unlock ultra-fast transactions, low fees, and expansive decentralized entertainment applications. Your network, your rules powered by Avail Read more about the integration here:

Avail

97,417 views • 1 year ago

We’ve all been there: a massive new game drops, but your PC just can’t handle it. For too long, gaming has been gatekept by expensive hardware. Walter is here to change that. By tapping into YOM’s decentralized GPU network, Walter lets you launch and play PC games instantly without the need of a heavy duty rig. The network does the heavy lifting so you can just play. This launch is a huge moment for us. It’s not just a new product; it’s proof that decentralized tech can step out of the shadows and power real, large-scale apps that people actually want to use. Today is just day one. Welcome to Walter. Try the early Alpha version :
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We’ve all been there: a massive new game drops, but your PC just can’t handle it. For too long, gaming has been gatekept by expensive hardware. Walter is here to change that. By tapping into YOM’s decentralized GPU network, Walter lets you launch and play PC games instantly without the need of a heavy duty rig. The network does the heavy lifting so you can just play. This launch is a huge moment for us. It’s not just a new product; it’s proof that decentralized tech can step out of the shadows and power real, large-scale apps that people actually want to use. Today is just day one. Welcome to Walter. Try the early Alpha version :

WalterGG

16,759 views • 1 month ago

SERGEY NAZAROV SMARTCON 2025 KEYNOTE The infrastructure to unify global finance is now live. Today, Sergey Nazarov announced that the Chainlink Runtime Environment (CRE) is live, marking the start of a new era in onchain development by enabling anyone to build institutional-grade smart contracts with data, interoperability, compliance, and privacy. Sergey also announced Chainlink Confidential Compute, a technical breakthrough that unlocks previously-impossible onchain privacy use cases such as private transactions, privacy-preserving tokenization, confidential data distribution, and much more. Together, these services expand the capabilities of the Chainlink platform to bring the world onchain: “At the end of the day, Chainlink is really the only system that can bring DeFi and TradFi together.” Watch the full keynote now ↓ Full presentation slides here:
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SERGEY NAZAROV SMARTCON 2025 KEYNOTE The infrastructure to unify global finance is now live. Today, Sergey Nazarov announced that the Chainlink Runtime Environment (CRE) is live, marking the start of a new era in onchain development by enabling anyone to build institutional-grade smart contracts with data, interoperability, compliance, and privacy. Sergey also announced Chainlink Confidential Compute, a technical breakthrough that unlocks previously-impossible onchain privacy use cases such as private transactions, privacy-preserving tokenization, confidential data distribution, and much more. Together, these services expand the capabilities of the Chainlink platform to bring the world onchain: “At the end of the day, Chainlink is really the only system that can bring DeFi and TradFi together.” Watch the full keynote now ↓ Full presentation slides here:

Chainlink

276,811 views • 9 months ago

A new roadmap. A New Era of The Graph 🗺️ The Graph’s new roadmap introduces a bold and transformative vision for the future of The Graph! The new R&D roadmap details an expansion of The Graph’s ability to serve web3’s growing demands for data access, while better serving builders and protocol contributors, and improving the overall simplicity and efficiency of the network. After three years of serving builders, The Graph Network is mature, reliable, and performant. The Graph ecosystem has followed through on its commitment to democratize access to blockchain data while also establishing subgraphs as a web3 standard. But The Graph’s innovation journey doesn’t end there. The New Era of The Graph is organized into five core objectives: 1️⃣ World of Data Services: Expanding to provide new data services beyond subgraphs to deliver a rich market of data on the network, serving novel use cases for data scientists and more. This will include more data sources, new query languages, and support for LLMs. 2️⃣ Developer Empowerment: Supporting developers through enhanced DevEx and tooling by introducing streamlined billing, clear pricing models, a new free query plan, and reduced gas fees. A more SaaS-like experience for devs, without compromising on decentralization! 3️⃣ Protocol Evolution & Resiliency: Delivering improvements resulting in a more resilient, flexible, and simple protocol, including updates to delegation. 4️⃣ Optimized Indexer Performance: Boosting network performance with improved Indexer tooling and operational capabilities to deliver increased scalability, reduce costs, and enhanced network reliability. 5️⃣ Interconnected Graph of Data: Creating tools for composable data and a global, organized knowledge graph – interlinking open data and making it easier to build upon. The new roadmap sets in motion an exciting evolution in web3 data infrastructure. In a phased rollout, The Graph will introduce many new features and benefits, including the integration of new data services, new query languages, enhanced developer tooling, improved UX + UI, alongside greater protocol efficiency and resilience. As this new era unfolds, The Graph crystallizes as the connective tissue across the many layers of the web3 stack, evolving into a comprehensive, interwoven graph of data equipped to serve every project dreamt up by web3’s innovators. Read the full announcement linked in the comment below!
0:47

A new roadmap. A New Era of The Graph 🗺️ The Graph’s new roadmap introduces a bold and transformative vision for the future of The Graph! The new R&D roadmap details an expansion of The Graph’s ability to serve web3’s growing demands for data access, while better serving builders and protocol contributors, and improving the overall simplicity and efficiency of the network. After three years of serving builders, The Graph Network is mature, reliable, and performant. The Graph ecosystem has followed through on its commitment to democratize access to blockchain data while also establishing subgraphs as a web3 standard. But The Graph’s innovation journey doesn’t end there. The New Era of The Graph is organized into five core objectives: 1️⃣ World of Data Services: Expanding to provide new data services beyond subgraphs to deliver a rich market of data on the network, serving novel use cases for data scientists and more. This will include more data sources, new query languages, and support for LLMs. 2️⃣ Developer Empowerment: Supporting developers through enhanced DevEx and tooling by introducing streamlined billing, clear pricing models, a new free query plan, and reduced gas fees. A more SaaS-like experience for devs, without compromising on decentralization! 3️⃣ Protocol Evolution & Resiliency: Delivering improvements resulting in a more resilient, flexible, and simple protocol, including updates to delegation. 4️⃣ Optimized Indexer Performance: Boosting network performance with improved Indexer tooling and operational capabilities to deliver increased scalability, reduce costs, and enhanced network reliability. 5️⃣ Interconnected Graph of Data: Creating tools for composable data and a global, organized knowledge graph – interlinking open data and making it easier to build upon. The new roadmap sets in motion an exciting evolution in web3 data infrastructure. In a phased rollout, The Graph will introduce many new features and benefits, including the integration of new data services, new query languages, enhanced developer tooling, improved UX + UI, alongside greater protocol efficiency and resilience. As this new era unfolds, The Graph crystallizes as the connective tissue across the many layers of the web3 stack, evolving into a comprehensive, interwoven graph of data equipped to serve every project dreamt up by web3’s innovators. Read the full announcement linked in the comment below!

The Graph

425,373 views • 2 years ago

In Q1 2024, The Graph Network saw substantial growth in queries, reaching an all-time high of over 1.5 billion, up 65% from just shy of 1 billion in Q4’23. This growth accompanies updates recently shipped by core devs, enabling developers to easily take advantage of low cost, reliable and permissionless decentralized data ⚡ Here are the top 8 key takeaways from the Q1 2024 Participant Update ⬇️ 1️⃣ The Graph Network experienced significant growth, serving 1.5+ billion queries—a 65% quarter-over-quarter increase. Additionally, the number of subgraphs published on the network grew by over 30%, exceeding 1,900 subgraphs. 2️⃣ The Sunray Phase of the Sunrise of Decentralized Data concluded with the launch of key developer centric features including a free query plan, payment by credit card or GRT with access to 5️⃣0️⃣+ chains on the network. 3️⃣ The Graph added support for Bitcoin data by introducing a Bitcoin explorer module, a composable BRC-20 Substreams Module and a BRC-20 Substreams module, facilitating the integration of data into subgraphs for GraphQL queries. 4️⃣ Members of The Graph’s leadership teams traveled to Asia and participated in community events, engaged with the local web3 communities and strengthened The Graph ecosystem’s relationships with key thought leaders in the region. 5️⃣ Looking ahead, Sunbeam (Phase 2 of the Sunrise of Decentralized Data) concludes on June 12th. This milestone marks the end of the subgraph upgrade window in which hosted service subgraphs must upgrade to the network. 6️⃣ Firehose is now integrated with Go Ethereum. The 44% of Ethereum devs that make use of GETH can now get natively deeper insights, more precise event ordering, pattern matching, simpler and a more reliable integration, lower latency and super fast reprocessing times. 7️⃣ The Graph is saving the blobs! Developers now have two ways to access blob data (EIP-4844) - through either the consensus layer or the execution layer. 8️⃣ The Graph ecosystem can expect many exciting announcements coming in the near future around new data services live on the network and served by an ecosystem of Indexers earning GRT. Core Devs (Edge & Node, StreamingFast ⏫, Semiotic AI, The Guild, Messari by Blockworks, GraphOps | graphops.eth, Pinax, and ) will continue to execute on the New Era Roadmap by integrating SQL query capability and a SQL data service, File Hosting Service, new micropayment system Scalar TAP, AI data services and more. The Graph's Q1 2024 Participant Update establishes a clear watermark for web3 and decentralized data. The Graph’s expansion across many chains as well as progress on new developer experience enhancing features and new data services is expanding what’s possible with decentralized data in web3. Accessing more diverse data across more blockchains has never been easier for dapp developers and data consumers. The best part: The Graph has many more big announcements to come throughout 2024 🌟 Don’t miss any of the details. Watch the full update featuring Eva Beylin, Tegan Kline, 0xMaxTang, Etienne Brunet, and caro f here:
42:59

In Q1 2024, The Graph Network saw substantial growth in queries, reaching an all-time high of over 1.5 billion, up 65% from just shy of 1 billion in Q4’23. This growth accompanies updates recently shipped by core devs, enabling developers to easily take advantage of low cost, reliable and permissionless decentralized data ⚡ Here are the top 8 key takeaways from the Q1 2024 Participant Update ⬇️ 1️⃣ The Graph Network experienced significant growth, serving 1.5+ billion queries—a 65% quarter-over-quarter increase. Additionally, the number of subgraphs published on the network grew by over 30%, exceeding 1,900 subgraphs. 2️⃣ The Sunray Phase of the Sunrise of Decentralized Data concluded with the launch of key developer centric features including a free query plan, payment by credit card or GRT with access to 5️⃣0️⃣+ chains on the network. 3️⃣ The Graph added support for Bitcoin data by introducing a Bitcoin explorer module, a composable BRC-20 Substreams Module and a BRC-20 Substreams module, facilitating the integration of data into subgraphs for GraphQL queries. 4️⃣ Members of The Graph’s leadership teams traveled to Asia and participated in community events, engaged with the local web3 communities and strengthened The Graph ecosystem’s relationships with key thought leaders in the region. 5️⃣ Looking ahead, Sunbeam (Phase 2 of the Sunrise of Decentralized Data) concludes on June 12th. This milestone marks the end of the subgraph upgrade window in which hosted service subgraphs must upgrade to the network. 6️⃣ Firehose is now integrated with Go Ethereum. The 44% of Ethereum devs that make use of GETH can now get natively deeper insights, more precise event ordering, pattern matching, simpler and a more reliable integration, lower latency and super fast reprocessing times. 7️⃣ The Graph is saving the blobs! Developers now have two ways to access blob data (EIP-4844) - through either the consensus layer or the execution layer. 8️⃣ The Graph ecosystem can expect many exciting announcements coming in the near future around new data services live on the network and served by an ecosystem of Indexers earning GRT. Core Devs (Edge & Node, StreamingFast ⏫, Semiotic AI, The Guild, Messari by Blockworks, GraphOps | graphops.eth, Pinax, and ) will continue to execute on the New Era Roadmap by integrating SQL query capability and a SQL data service, File Hosting Service, new micropayment system Scalar TAP, AI data services and more. The Graph's Q1 2024 Participant Update establishes a clear watermark for web3 and decentralized data. The Graph’s expansion across many chains as well as progress on new developer experience enhancing features and new data services is expanding what’s possible with decentralized data in web3. Accessing more diverse data across more blockchains has never been easier for dapp developers and data consumers. The best part: The Graph has many more big announcements to come throughout 2024 🌟 Don’t miss any of the details. Watch the full update featuring Eva Beylin, Tegan Kline, 0xMaxTang, Etienne Brunet, and caro f here:

The Graph

27,410 views • 2 years ago

More progress! I now have two Dockerized Gradio | Rerun apps. The first one takes as input a "raw" rrd file that consists of the synchronized egocentric and exocentric MP4 files. This runs the pipeline and produces an "annotated" rrd file. This has the camera parameters, 3D joints, and projected 2D joints (with 6DOF mano soon). The second app takes this "annotated" rrd file and allows for manual labeling. This is a crucial step in addressing any major failures in the pipeline. Right now, it is only the ego view that can be modified. But I'll eventually extend to all. This results in a final "gt" rrd file. From here, the plan is to improve quality and start building a data loop. Excited to start really scaling this. I'm basically going all in on keeping my data stored as Rerun rrd files. As always, I want to emphasize how crucial it is to LOOK AT YOUR data! The rrd format makes it incredibly easy to do so. Getting the data out to use is a bit of a hassle right now, but for me, it's well worth the tradeoff.
1:21

More progress! I now have two Dockerized Gradio | Rerun apps. The first one takes as input a "raw" rrd file that consists of the synchronized egocentric and exocentric MP4 files. This runs the pipeline and produces an "annotated" rrd file. This has the camera parameters, 3D joints, and projected 2D joints (with 6DOF mano soon). The second app takes this "annotated" rrd file and allows for manual labeling. This is a crucial step in addressing any major failures in the pipeline. Right now, it is only the ego view that can be modified. But I'll eventually extend to all. This results in a final "gt" rrd file. From here, the plan is to improve quality and start building a data loop. Excited to start really scaling this. I'm basically going all in on keeping my data stored as Rerun rrd files. As always, I want to emphasize how crucial it is to LOOK AT YOUR data! The rrd format makes it incredibly easy to do so. Getting the data out to use is a bit of a hassle right now, but for me, it's well worth the tradeoff.

Pablo Vela

19,527 views • 10 months ago

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins): TLDR; the coolest part is that apps you build can update themselves autonomously 1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them. 2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive. 3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage. 4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds. 5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them. 6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero. 7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks. 8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs. 9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few. 10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now. Tbh, Codex sites isn't perfect. Still a lot to be desired like domains, db, authentication etc. But it's a glimpse into this idea that apps can be updated/improved upon automonously. And Codex Sites is REALLY good if you live in Codex everyday. Which more and more of are. And that's really cool. Will be interesting to see how Lovable, Bolt, Replit etc react to this. full tutorial on The Startup Ideas Podcast (SIP) 🧃 where you get your pods watch share with a friend i'm rooting for you What do you think of Codex and Codex sites?
24:41

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins): TLDR; the coolest part is that apps you build can update themselves autonomously 1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them. 2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive. 3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage. 4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds. 5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them. 6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero. 7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks. 8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs. 9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few. 10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now. Tbh, Codex sites isn't perfect. Still a lot to be desired like domains, db, authentication etc. But it's a glimpse into this idea that apps can be updated/improved upon automonously. And Codex Sites is REALLY good if you live in Codex everyday. Which more and more of are. And that's really cool. Will be interesting to see how Lovable, Bolt, Replit etc react to this. full tutorial on The Startup Ideas Podcast (SIP) 🧃 where you get your pods watch share with a friend i'm rooting for you What do you think of Codex and Codex sites?

GREG ISENBERG

68,972 views • 2 months ago

TEXAS TELLS APP STORES: NO MORE KIDS WITHOUT PARENTS’ PERMISSION Texas Governor Greg Abbott signed a new law that makes Apple and Google verify the age of everyone who wants to download apps. Starting January 1, kids under 18 will need a parent’s approval for downloads and in-app buys. This new law comes as people worry about social media messing with kids’ heads. A Pew poll shows 81% of Americans say kids need a parent’s okay for social media accounts, and 71% want apps to start checking ages. Apple and Google are grumbling. They say it will force them to share your age with every app, even something harmless like a sports scores app. Google says the real problem is social media itself, and wants to keep the focus there. Texas is not the only one doing this. Utah has a similar law, and countries like Australia have already told kids under 16 to keep off social media. So kids, get ready. The app store is about to start asking for your birthdate and maybe your mom’s number too. Source: Reuters
1:32

TEXAS TELLS APP STORES: NO MORE KIDS WITHOUT PARENTS’ PERMISSION Texas Governor Greg Abbott signed a new law that makes Apple and Google verify the age of everyone who wants to download apps. Starting January 1, kids under 18 will need a parent’s approval for downloads and in-app buys. This new law comes as people worry about social media messing with kids’ heads. A Pew poll shows 81% of Americans say kids need a parent’s okay for social media accounts, and 71% want apps to start checking ages. Apple and Google are grumbling. They say it will force them to share your age with every app, even something harmless like a sports scores app. Google says the real problem is social media itself, and wants to keep the focus there. Texas is not the only one doing this. Utah has a similar law, and countries like Australia have already told kids under 16 to keep off social media. So kids, get ready. The app store is about to start asking for your birthdate and maybe your mom’s number too. Source: Reuters

Mario Nawfal

107,337 views • 1 year ago

🚀 Arweave: The Epic Journey Towards Timeless Data Storage Embark on a journey with me as we unravel the marvel that is Arweave, a project meticulously crafted to safeguard data for an eternity without compromise. Let's dive into the intricacies that make this revolutionary endeavor a beacon of #permanence . 🌐 How Does #Arweave Achieve Timeless Data Storage? ✨ Cryptographic Proofs: Imagine a world where data integrity is not just a promise but a #cryptographic reality. Arweave's #foundation lies in cryptographic proofs, ensuring that every new block added to the network is not just stored but validated with unyielding certainty. 🏰 Storage Endowment: Arweave doesn't just store data; it endows it with longevity. Through a groundbreaking approach, data stored on Arweave is prepaid for 20 replicas spanning the next 200 years. This is not a mere estimate; it's a conservative projection, fortifying Arweave's commitment to #securing your data for the long term. 💡 Incentivized Evolution: The #world evolves, and so does Arweave. The #protocol is open, ready for change, and embraces an incentivized evolution model. Arweave positions itself not just as a #platform but as a versatile framework, encouraging innovative forks rewarded through a fair fork methodology. The beauty lies in the compatibility of these forks at the protocol layer, fostering cooperation over competition. 🌍 Unified Dataset for Permanence: Arweave isn't just about storing data; it's about unity. The encouragement of forks aligns seamlessly with the mission of permanent data storage. Keeping the dataset unified is in everyone's best interest, ensuring a collective stride towards a future where data stands the test of time. 🔍 Breaking It Down: Cryptographic Proofs: Ensuring the replication and secure storage of substantial parts of the Arweave dataset. Storage Endowment: A commitment to safeguarding data for a minimum of 200 years. Innovative Forks: Encouraging a continuous stream of innovation for permanent data storage. 📖 For those seeking a deeper understanding, explore DRAFT 17. Delve into the intricacies of Arweave's design, where proofs drive replication, the endowment fortifies storage, and the approach to forks sparks innovation. Join us on this odyssey towards a future where your data remains eternally secure and unaltered. Türkçe için : Arweave Ecosystem Only Arweave ar.io WeaveVM is now Load Network (@useload)
0:27

🚀 Arweave: The Epic Journey Towards Timeless Data Storage Embark on a journey with me as we unravel the marvel that is Arweave, a project meticulously crafted to safeguard data for an eternity without compromise. Let's dive into the intricacies that make this revolutionary endeavor a beacon of #permanence . 🌐 How Does #Arweave Achieve Timeless Data Storage? ✨ Cryptographic Proofs: Imagine a world where data integrity is not just a promise but a #cryptographic reality. Arweave's #foundation lies in cryptographic proofs, ensuring that every new block added to the network is not just stored but validated with unyielding certainty. 🏰 Storage Endowment: Arweave doesn't just store data; it endows it with longevity. Through a groundbreaking approach, data stored on Arweave is prepaid for 20 replicas spanning the next 200 years. This is not a mere estimate; it's a conservative projection, fortifying Arweave's commitment to #securing your data for the long term. 💡 Incentivized Evolution: The #world evolves, and so does Arweave. The #protocol is open, ready for change, and embraces an incentivized evolution model. Arweave positions itself not just as a #platform but as a versatile framework, encouraging innovative forks rewarded through a fair fork methodology. The beauty lies in the compatibility of these forks at the protocol layer, fostering cooperation over competition. 🌍 Unified Dataset for Permanence: Arweave isn't just about storing data; it's about unity. The encouragement of forks aligns seamlessly with the mission of permanent data storage. Keeping the dataset unified is in everyone's best interest, ensuring a collective stride towards a future where data stands the test of time. 🔍 Breaking It Down: Cryptographic Proofs: Ensuring the replication and secure storage of substantial parts of the Arweave dataset. Storage Endowment: A commitment to safeguarding data for a minimum of 200 years. Innovative Forks: Encouraging a continuous stream of innovation for permanent data storage. 📖 For those seeking a deeper understanding, explore DRAFT 17. Delve into the intricacies of Arweave's design, where proofs drive replication, the endowment fortifies storage, and the approach to forks sparks innovation. Join us on this odyssey towards a future where your data remains eternally secure and unaltered. Türkçe için : Arweave Ecosystem Only Arweave ar.io WeaveVM is now Load Network (@useload)

𝚊𝚛://𝚟𝚎𝚟𝚒𝚟𝚘 🐘

26,390 views • 2 years ago

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”
1:33

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

The All-In Podcast

304,297 views • 9 months ago

🎉 A new era begins! Serenity Shield is now "Serenity" – a rebranding that goes beyond just a new name. It’s a full transformation, a giant leap into STORAGE DOMAIN amongst trusted and innovative companies who all have billions of dollars of market caps.📊 💬Think of secure data storage and privacy solutions, Think of Serenity. 🌐 This isn’t just a name change; it’s a new birth. Serenity is now fully preparing to lead in privacy, security, trust, and innovation, setting new standards in data storage, integrity and protection. Here’s how our redefined suite of products is paving the way: 🔹 sBox – Securely store, manage, and transfer digital files, protect wallet seeds and passwords, and ensure estate planning with our built-in inheritance protocol. 🔹 sAxess – A cutting-edge access card with a mobile app featuring Biometrics technology. 🔹 sVault – Minimize data loss with global redundancy and Points of presence across various continents, with own server infrastructure - avoiding risks of centralized storage. But we're not stopping there⁉️ Coming in our next phase, sChain, sConnect, sWallet, sChange, and many more - defining the full ecosystem of decentralized storage with various products and features . 👍 New names and logo will be changed across the board, soon after this announcement. As Serenity is becoming Seamless, Secure, Smart Solutions for all, we proudly reveal today our new website⬇️ Stay put! Continue the journey with Serenity as we go global!📣 — Serenity Shield Team
0:56

🎉 A new era begins! Serenity Shield is now "Serenity" – a rebranding that goes beyond just a new name. It’s a full transformation, a giant leap into STORAGE DOMAIN amongst trusted and innovative companies who all have billions of dollars of market caps.📊 💬Think of secure data storage and privacy solutions, Think of Serenity. 🌐 This isn’t just a name change; it’s a new birth. Serenity is now fully preparing to lead in privacy, security, trust, and innovation, setting new standards in data storage, integrity and protection. Here’s how our redefined suite of products is paving the way: 🔹 sBox – Securely store, manage, and transfer digital files, protect wallet seeds and passwords, and ensure estate planning with our built-in inheritance protocol. 🔹 sAxess – A cutting-edge access card with a mobile app featuring Biometrics technology. 🔹 sVault – Minimize data loss with global redundancy and Points of presence across various continents, with own server infrastructure - avoiding risks of centralized storage. But we're not stopping there⁉️ Coming in our next phase, sChain, sConnect, sWallet, sChange, and many more - defining the full ecosystem of decentralized storage with various products and features . 👍 New names and logo will be changed across the board, soon after this announcement. As Serenity is becoming Seamless, Secure, Smart Solutions for all, we proudly reveal today our new website⬇️ Stay put! Continue the journey with Serenity as we go global!📣 — Serenity Shield Team

SerenitySTech

55,447 views • 1 year ago

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

300,804 views • 3 months ago

🌆 Digital Evidence, Real Estate, and the Next Wave of Real-World Adoption Dave Berg, CPO at Constellation, breaks down how they are building real onchain infrastructure that solves real problems. Not hypothetical use cases. Not hype cycles. Actual products people can use right now. 1. Digital Evidence. Authenticity for the internet. Constellation is anchoring digital fingerprints of files, images, documents, and data streams directly onto the network. Why does this matter? Because in a world filled with AI content, fake screenshots, edited PDFs, and manipulated media, proving the origin of information is becoming one of the most valuable capabilities we have. Developers and non developers can use simple APIs, or even vibe code with AI tools like Claude, to anchor and verify data instantly. Everyday users can anchor real-world data right now onto Constellation network with zero blockchain knowledge, using devices they already use every single day. 2. Proof of Management for real assets. This leads into what might be one of the most practical DLT products released in years. Real Estate Ledger. A digital guidebook for any property: • Permits • Warranties • Proof of maintenance • Vendor history • Manuals • Insurance • Improvements • Receipts • Photos Everything tied to the property, all cryptographically timestamped. If you have ever tried to sell a house, maintain one, or prove something to an insurer, you instantly understand how useful this is. Imagine handing a buyer a clean, verified report of every repair, every vendor, every upgrade, and every warranty. Imagine builders uploading materials and documentation during construction so the next owner knows exactly what is behind the walls. Imagine insurance claims based on truth instead of paperwork chaos. This is not a pitch deck about tokenizing real estate one day. This is infrastructure that exists right now. 3. Constellation is solving real adoption problems for Web3. No need to rebuild your business to onboard. No need to run your own nodes unless you want to. No need to become a blockchain expert. Just clean APIs, onchain trust, and applications anyone can understand. Authenticity and truth are scarce assets, Constellation (DAG) is building rails that protect them. Podcast powered by Constellation²
41:01

🌆 Digital Evidence, Real Estate, and the Next Wave of Real-World Adoption Dave Berg, CPO at Constellation, breaks down how they are building real onchain infrastructure that solves real problems. Not hypothetical use cases. Not hype cycles. Actual products people can use right now. 1. Digital Evidence. Authenticity for the internet. Constellation is anchoring digital fingerprints of files, images, documents, and data streams directly onto the network. Why does this matter? Because in a world filled with AI content, fake screenshots, edited PDFs, and manipulated media, proving the origin of information is becoming one of the most valuable capabilities we have. Developers and non developers can use simple APIs, or even vibe code with AI tools like Claude, to anchor and verify data instantly. Everyday users can anchor real-world data right now onto Constellation network with zero blockchain knowledge, using devices they already use every single day. 2. Proof of Management for real assets. This leads into what might be one of the most practical DLT products released in years. Real Estate Ledger. A digital guidebook for any property: • Permits • Warranties • Proof of maintenance • Vendor history • Manuals • Insurance • Improvements • Receipts • Photos Everything tied to the property, all cryptographically timestamped. If you have ever tried to sell a house, maintain one, or prove something to an insurer, you instantly understand how useful this is. Imagine handing a buyer a clean, verified report of every repair, every vendor, every upgrade, and every warranty. Imagine builders uploading materials and documentation during construction so the next owner knows exactly what is behind the walls. Imagine insurance claims based on truth instead of paperwork chaos. This is not a pitch deck about tokenizing real estate one day. This is infrastructure that exists right now. 3. Constellation is solving real adoption problems for Web3. No need to rebuild your business to onboard. No need to run your own nodes unless you want to. No need to become a blockchain expert. Just clean APIs, onchain trust, and applications anyone can understand. Authenticity and truth are scarce assets, Constellation (DAG) is building rails that protect them. Podcast powered by Constellation²

Generation Infinity

170,375 views • 9 months ago

🚀 Pi Network Enters a New Era: $100M Boost and Thousands of Mainnet-Ready DApps on the Horizon The time has come. What started as a revolutionary idea is now becoming a full-blown movement. Pi Network, with its vibrant global community of over 50 million engaged pioneers, is entering a powerful new phase—an era defined by massive app adoption, AI integration, and a $100 million investment to accelerate the growth of its ecosystem. 🔥 The Explosion of Apps on Pi Network Over the past few years, developers around the world have been quietly and diligently building decentralized applications (DApps) on Pi’s testnet. What was once a trickle has become a wave. Now, with the Open Mainnet officially activated, these apps are shifting gears, preparing for mass deployment and real-world utility. From finance, e-commerce, education, and health, to gaming, social media, and digital identity, Pi Network is evolving into a truly diverse Web3 universe. Each DApp contributes to the broader goal: to bring decentralized, peer-to-peer value exchange to real people, in real situations, without complexity or high fees. 💰 $100 Million to Supercharge Ecosystem Growth In a bold move that reflects deep confidence in the ecosystem’s potential, the Pi Core Team has announced a $100 million fund to fuel innovation and utility creation. This capital injection is a game-changer. It means: •More grants and funding for developers. •Better tools and infrastructure to support scalability. •Enhanced user experience in existing apps. •Faster transition from testnet to Mainnet readiness. This isn’t just funding—it’s a signal. Pi Network is ready to lead the decentralized economy forward. 🤖 The Power of AI + Pi AI is already transforming industries, and Pi Network is embracing this transformation head-on. With intelligent systems now being integrated into Pi-based applications, developers can: •Automate user experiences. •Offer real-time language translation and smart support. •Deliver advanced data analytics. •Empower smart matching in social, dating, or job apps. •Create intelligent marketplaces and financial tools. AI will help scale the number of Mainnet-ready apps from hundreds to thousands—faster than ever before. 🌐 Let the Decentralized Revolution Begin Every movement has its moment—and this is Pi Network’s moment. The infrastructure is in place. The community is activated. The funding is secured. The tools, AI, and developer talent are aligned. With thousands of apps ready to go live, utility will drive real value for Pi (𝛑). Every transaction, service, and exchange within this ecosystem will show the world that Pi is not just another cryptocurrency—it’s the most accessible and human-centric digital currency ever created. So, to all pioneers, developers, and visionaries: Get ready. Build. Connect. Engage. The show has just begun. Let’s turn dreams into decentralized realities—one app, one transaction, and one Pi at a time. 💫 Pi Network Nicolas Kokkalis Chengdiao Fan
2:12

🚀 Pi Network Enters a New Era: $100M Boost and Thousands of Mainnet-Ready DApps on the Horizon The time has come. What started as a revolutionary idea is now becoming a full-blown movement. Pi Network, with its vibrant global community of over 50 million engaged pioneers, is entering a powerful new phase—an era defined by massive app adoption, AI integration, and a $100 million investment to accelerate the growth of its ecosystem. 🔥 The Explosion of Apps on Pi Network Over the past few years, developers around the world have been quietly and diligently building decentralized applications (DApps) on Pi’s testnet. What was once a trickle has become a wave. Now, with the Open Mainnet officially activated, these apps are shifting gears, preparing for mass deployment and real-world utility. From finance, e-commerce, education, and health, to gaming, social media, and digital identity, Pi Network is evolving into a truly diverse Web3 universe. Each DApp contributes to the broader goal: to bring decentralized, peer-to-peer value exchange to real people, in real situations, without complexity or high fees. 💰 $100 Million to Supercharge Ecosystem Growth In a bold move that reflects deep confidence in the ecosystem’s potential, the Pi Core Team has announced a $100 million fund to fuel innovation and utility creation. This capital injection is a game-changer. It means: •More grants and funding for developers. •Better tools and infrastructure to support scalability. •Enhanced user experience in existing apps. •Faster transition from testnet to Mainnet readiness. This isn’t just funding—it’s a signal. Pi Network is ready to lead the decentralized economy forward. 🤖 The Power of AI + Pi AI is already transforming industries, and Pi Network is embracing this transformation head-on. With intelligent systems now being integrated into Pi-based applications, developers can: •Automate user experiences. •Offer real-time language translation and smart support. •Deliver advanced data analytics. •Empower smart matching in social, dating, or job apps. •Create intelligent marketplaces and financial tools. AI will help scale the number of Mainnet-ready apps from hundreds to thousands—faster than ever before. 🌐 Let the Decentralized Revolution Begin Every movement has its moment—and this is Pi Network’s moment. The infrastructure is in place. The community is activated. The funding is secured. The tools, AI, and developer talent are aligned. With thousands of apps ready to go live, utility will drive real value for Pi (𝛑). Every transaction, service, and exchange within this ecosystem will show the world that Pi is not just another cryptocurrency—it’s the most accessible and human-centric digital currency ever created. So, to all pioneers, developers, and visionaries: Get ready. Build. Connect. Engage. The show has just begun. Let’s turn dreams into decentralized realities—one app, one transaction, and one Pi at a time. 💫 Pi Network Nicolas Kokkalis Chengdiao Fan

Mr Spock 𝛑

23,524 views • 1 year ago

GDP. Onchain. Officially 🇺🇸 The U.S. Commerce Department is moving to publish GDP stats directly to a public blockchain This isn't about crypto adoption. This is the federal government using public ledgers for data integrity That changes everything ⤵️ GDP is the most-watched macro metric in the world It informs: → Policy decisions → Rate moves → Capital flows → Institutional macro strategy Every revision shifts billions And now it’s getting a verifiable onchain timestamp Commerce Secretary Lutnick confirmed it Official GDP figures will be pushed onchain by the U.S. government First time a major federal agency is treating a public blockchain as a trust layer for national data That precedent will cascade What this unlocks: ➤ Time-stamped economic releases ➤ Immutable macro signals ➤ Trustless rails for modeling risk, yield, credit The data is no longer just public It’s now programmable The implications for financial tooling are massive You could build: ✔︎ RWAs keyed to GDP triggers ✔︎ Onchain yield curves linked to macro signals ✔︎ Predictive markets on economic prints All syncing in real time This opens up a new category of composable macro data And more importantly, it spotlights the infrastructure stack Because the oracles, chains, and protocols that secure this data? They won’t just distribute it They’ll route the capital that follows The rails are already being laid Watch what gets integrated Because whoever secures this data flow Wins the next layer of macro-fintech capital
0:25

GDP. Onchain. Officially 🇺🇸 The U.S. Commerce Department is moving to publish GDP stats directly to a public blockchain This isn't about crypto adoption. This is the federal government using public ledgers for data integrity That changes everything ⤵️ GDP is the most-watched macro metric in the world It informs: → Policy decisions → Rate moves → Capital flows → Institutional macro strategy Every revision shifts billions And now it’s getting a verifiable onchain timestamp Commerce Secretary Lutnick confirmed it Official GDP figures will be pushed onchain by the U.S. government First time a major federal agency is treating a public blockchain as a trust layer for national data That precedent will cascade What this unlocks: ➤ Time-stamped economic releases ➤ Immutable macro signals ➤ Trustless rails for modeling risk, yield, credit The data is no longer just public It’s now programmable The implications for financial tooling are massive You could build: ✔︎ RWAs keyed to GDP triggers ✔︎ Onchain yield curves linked to macro signals ✔︎ Predictive markets on economic prints All syncing in real time This opens up a new category of composable macro data And more importantly, it spotlights the infrastructure stack Because the oracles, chains, and protocols that secure this data? They won’t just distribute it They’ll route the capital that follows The rails are already being laid Watch what gets integrated Because whoever secures this data flow Wins the next layer of macro-fintech capital

eye zen hour 🥶

36,020 views • 1 year ago

In the next 15 years, data centers are expected to add an additional $160 billion to grid costs in the US Estimate say electricity rates for average households will spike by as much as 70% Data centers are projected to triple their share of US electricity demand in the next few years The main driver is the explosive growth of data centers built by Big Tech companies like Amazon, Meta, Microsoft, Google, OpenAI and more to power artificial intelligence Places like Northern Virginia already has over 200 data centers with massive new ones planned. Utilities are striking secret proprietary deals with Big Tech companies. These are hidden behind NDAs that shift much of the infrastructure costs onto regular residential customers Just in the PJM energy market of 13 states covering 65 million people, data centers were responsible for 63% of last year’s record 800% spike in capacity prices (This is INSANE) Residential customers in places like Virginia and Louisiana are being forced to subsidize billions in new power plants and grid upgrades for data centers. An Examples of this is in Louisiana, Meta’s data center deal leaves the public potentially on the hook for half or more of a $3–4 billion power plant Again, without major policy changes, average household electricity bills could rise by up to 70% over the next 15 years due to data center demand. There is only one real way we can stop this, we must create a separate customer class for data centers Maryland and Oregon have already passed laws doing this Forces data centers to pay for the specific infrastructure they need instead of spreading the costs to everyone else. More states need to do the same Ban secret sweetheart deals Require full public disclosure of all contracts between utilities and Big Tech Prohibit deals where data centers pay below the actual cost of service Make data centers pay the full cost of new power plants and grid upgrades Change regulations so utilities cannot socialize the cost of data-center-driven infrastructure to residential and small business ratepayers This needs to be done immediately
13:33

In the next 15 years, data centers are expected to add an additional $160 billion to grid costs in the US Estimate say electricity rates for average households will spike by as much as 70% Data centers are projected to triple their share of US electricity demand in the next few years The main driver is the explosive growth of data centers built by Big Tech companies like Amazon, Meta, Microsoft, Google, OpenAI and more to power artificial intelligence Places like Northern Virginia already has over 200 data centers with massive new ones planned. Utilities are striking secret proprietary deals with Big Tech companies. These are hidden behind NDAs that shift much of the infrastructure costs onto regular residential customers Just in the PJM energy market of 13 states covering 65 million people, data centers were responsible for 63% of last year’s record 800% spike in capacity prices (This is INSANE) Residential customers in places like Virginia and Louisiana are being forced to subsidize billions in new power plants and grid upgrades for data centers. An Examples of this is in Louisiana, Meta’s data center deal leaves the public potentially on the hook for half or more of a $3–4 billion power plant Again, without major policy changes, average household electricity bills could rise by up to 70% over the next 15 years due to data center demand. There is only one real way we can stop this, we must create a separate customer class for data centers Maryland and Oregon have already passed laws doing this Forces data centers to pay for the specific infrastructure they need instead of spreading the costs to everyone else. More states need to do the same Ban secret sweetheart deals Require full public disclosure of all contracts between utilities and Big Tech Prohibit deals where data centers pay below the actual cost of service Make data centers pay the full cost of new power plants and grid upgrades Change regulations so utilities cannot socialize the cost of data-center-driven infrastructure to residential and small business ratepayers This needs to be done immediately

Wall Street Apes

57,720 views • 3 months ago

Americans are being priced out of playing videos games and the reason is Data Centers The Nintendo Switch 2 is $500 A high-end Xbox is $800 The PlayStation 5 Pro is $900 It’s causing major shifts: - PlayStation is ending physical disks - NVIDIA GeForce is implementing a gaming cap for a maximum amount of hours played per month - XBox is divesting in 5 gaming studios Data Centers are buying and using so much RAM memory that one stick that used to cost $200 now costs over $1,000 “Huge increases across the board” 3 companies make almost all memory chips “these chips are really only made by about 3 companies in the entire world, and those 3 companies have limited output. So they have to decide, do they want to build high-end memory chips for AI data centers or consumer-grade memory chips for all of our devices? As you can probably guess, They didn't choose us. OpenAI reportedly committed to buying 40% of all the memory chips in the entire world just for their Stargate multi-state data center project. For memory chip companies, this was a huge payday, but it meant absolute scarcity for consumer memory chips, which of course means massive price increases for you and I” Gaming companies aren’t going to invest in next gen consoles that will only sell a fraction of the amount of previous consoles because of price. It wouldn’t make sense because game developers are going to focus on the consoles with all the users, the older consoles So gaming console manufacturers are moving towards new revenue streams like controlling how you can buy a game, more subscription costs and more
5:32

Americans are being priced out of playing videos games and the reason is Data Centers The Nintendo Switch 2 is $500 A high-end Xbox is $800 The PlayStation 5 Pro is $900 It’s causing major shifts: - PlayStation is ending physical disks - NVIDIA GeForce is implementing a gaming cap for a maximum amount of hours played per month - XBox is divesting in 5 gaming studios Data Centers are buying and using so much RAM memory that one stick that used to cost $200 now costs over $1,000 “Huge increases across the board” 3 companies make almost all memory chips “these chips are really only made by about 3 companies in the entire world, and those 3 companies have limited output. So they have to decide, do they want to build high-end memory chips for AI data centers or consumer-grade memory chips for all of our devices? As you can probably guess, They didn't choose us. OpenAI reportedly committed to buying 40% of all the memory chips in the entire world just for their Stargate multi-state data center project. For memory chip companies, this was a huge payday, but it meant absolute scarcity for consumer memory chips, which of course means massive price increases for you and I” Gaming companies aren’t going to invest in next gen consoles that will only sell a fraction of the amount of previous consoles because of price. It wouldn’t make sense because game developers are going to focus on the consoles with all the users, the older consoles So gaming console manufacturers are moving towards new revenue streams like controlling how you can buy a game, more subscription costs and more

Wall Street Apes

80,738 views • 1 month ago

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning
1:11

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning

Alex Ratner

495,851 views • 1 year ago

Today we are excited to open up Neuracore to the academic community! Neuracore is a new data foundation built to accelerate robot learning by removing one of the field’s biggest bottlenecks: capturing and working with high-fidelity multimodal robotics data. For the first time, researchers can store, view, and work with robotics data in a cloud-native system built specifically for large-scale learning, and we are making this core platform completely free for academia. The platform lets teams capture every sensor at its native rate, store and visualize data without loss, and then train and deploy models locally using our open-source code (Link in the comments). We are rolling out access to select academic institutions first. Anyone with an academic email can sign up, and if your institution is not part of the initial rollout, you will be able to join the waitlist directly. Beyond providing this infrastructure, we see an opportunity to build a global community where engineers and researchers can share, collaborate, and advance the frontier of robot learning together. Supported by our recent $3M pre-seed round led by Earlybird VC, we are excited to take this mission even further. Our long-term goal is for Neuracore to become the natural home for cutting-edge robot learning algorithms and real-world robotics experimentation, helping accelerate the next wave of Physical AI.
1:00

Today we are excited to open up Neuracore to the academic community! Neuracore is a new data foundation built to accelerate robot learning by removing one of the field’s biggest bottlenecks: capturing and working with high-fidelity multimodal robotics data. For the first time, researchers can store, view, and work with robotics data in a cloud-native system built specifically for large-scale learning, and we are making this core platform completely free for academia. The platform lets teams capture every sensor at its native rate, store and visualize data without loss, and then train and deploy models locally using our open-source code (Link in the comments). We are rolling out access to select academic institutions first. Anyone with an academic email can sign up, and if your institution is not part of the initial rollout, you will be able to join the waitlist directly. Beyond providing this infrastructure, we see an opportunity to build a global community where engineers and researchers can share, collaborate, and advance the frontier of robot learning together. Supported by our recent $3M pre-seed round led by Earlybird VC, we are excited to take this mission even further. Our long-term goal is for Neuracore to become the natural home for cutting-edge robot learning algorithms and real-world robotics experimentation, helping accelerate the next wave of Physical AI.

Neuracore

40,796 views • 9 months ago