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ICP's Cloud Engines Will Keep Apps Running Effectively Internet Computer (@dfiinity) recently shared a quick overview detailing how Cloud Engines work... This new feature promises to provide serverless, fail-proof computational power for global enterprise applications. Users can select between 4 and 100 high-performance nodes across any continent, ensuring that...

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21,292 次观看 • 3 个月前 •via X (Twitter)

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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

309,408 次观看 • 4 个月前

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:
0:28

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 次观看 • 1 年前

Revolutionizing Access to #GPU Power - One Node at a Time.⚡️ Our 10th Utility is coming out on June 20.🚨 BIG GPU Nodes Platform isn’t just another name in the crowded GPU cloud services space, we’re a game-changer. Our platform is purpose-built to bridge the gap between server owners and those hungry for raw, high-performance computing power. 🖥️ We specialize in connecting suppliers from individual server owners to enterprise-scale GPU rig operators with consumers who demand serious horsepower for AI, machine learning, data science, and other compute-heavy applications. Whether you’re offering a sleek single-GPU setup or a massive mining-style array with multiple GPUs, BIG GPU Nodes is your launchpad. We make it simple to rent out underutilized GPU resources and just as easy for users to find exactly what they need — fast, affordable, and tailored to their workload.⛓️‍💥 This is more than cloud computing. This is decentralized GPU power for the future of innovation. ♾️ This product will generate revenue and we will give back to our loyal $CNCT holders. ✨ We’re proud to have MESSIER | M87 as our trusted partner and advisor, backing us with this vision. #M87 🤝 $CNCT From the very beginning, we promised you ONE BIG ECOSYSTEM, and a seamless space where everything you need comes together. Now, that vision is becoming reality. Millions of users will soon be connected, working, creating, and thriving within it. 🌍
0:59

Revolutionizing Access to #GPU Power - One Node at a Time.⚡️ Our 10th Utility is coming out on June 20.🚨 BIG GPU Nodes Platform isn’t just another name in the crowded GPU cloud services space, we’re a game-changer. Our platform is purpose-built to bridge the gap between server owners and those hungry for raw, high-performance computing power. 🖥️ We specialize in connecting suppliers from individual server owners to enterprise-scale GPU rig operators with consumers who demand serious horsepower for AI, machine learning, data science, and other compute-heavy applications. Whether you’re offering a sleek single-GPU setup or a massive mining-style array with multiple GPUs, BIG GPU Nodes is your launchpad. We make it simple to rent out underutilized GPU resources and just as easy for users to find exactly what they need — fast, affordable, and tailored to their workload.⛓️‍💥 This is more than cloud computing. This is decentralized GPU power for the future of innovation. ♾️ This product will generate revenue and we will give back to our loyal $CNCT holders. ✨ We’re proud to have MESSIER | M87 as our trusted partner and advisor, backing us with this vision. #M87 🤝 $CNCT From the very beginning, we promised you ONE BIG ECOSYSTEM, and a seamless space where everything you need comes together. Now, that vision is becoming reality. Millions of users will soon be connected, working, creating, and thriving within it. 🌍

Fixera AI

26,682 次观看 • 1 年前

ICP Just CONFIRMED The Death Of AWS! Amazon Web Services controls the baseline architecture of our modern society, but the Internet Computer just confirmed the death of AWS. A quiet, invisible monopoly is capturing a staggering $2 trillion total addressable market right under our noses, while even modern crypto projects that claim total decentralization are actually faking it. The Internet Computer completely breaks this hidden corporate reliance by building a sovereign world computer that runs entirely on decentralized computing nodes without using a single traditional server room. Beneath the suppressed market valuation, a complete migration of legacy web infrastructure is gathering speed to absorb the global server economy. From canister smart contracts packed with WebAssembly execution code to advanced solutions like the Swiss subnet, this decentralized network eliminates intermediate servers completely. If you want to track how these massive tech deployments are shifting the landscape, subscribe for more in-depth crypto breakdowns and check the links to stay ahead. #ICP #AWS #CryptoNews
17:51

ICP Just CONFIRMED The Death Of AWS! Amazon Web Services controls the baseline architecture of our modern society, but the Internet Computer just confirmed the death of AWS. A quiet, invisible monopoly is capturing a staggering $2 trillion total addressable market right under our noses, while even modern crypto projects that claim total decentralization are actually faking it. The Internet Computer completely breaks this hidden corporate reliance by building a sovereign world computer that runs entirely on decentralized computing nodes without using a single traditional server room. Beneath the suppressed market valuation, a complete migration of legacy web infrastructure is gathering speed to absorb the global server economy. From canister smart contracts packed with WebAssembly execution code to advanced solutions like the Swiss subnet, this decentralized network eliminates intermediate servers completely. If you want to track how these massive tech deployments are shifting the landscape, subscribe for more in-depth crypto breakdowns and check the links to stay ahead. #ICP #AWS #CryptoNews

Cheeky Crypto

17,761 次观看 • 3 个月前

🐬🐬🐬PI NETWORK NEWS: Pi Network and the 100 Apps Ready for Mainnet: Understand Clearly, Wait Patiently, and Build Together 1. Frequently Asked Question: “Where Are the Promised 100 Apps?” As Pi Network progresses toward a truly decentralized blockchain ecosystem, the community naturally wonders: Where are the 100 decentralized applications (dApps) that were promised to be ready for Mainnet? This is a perfectly valid question, showing the community’s interest in the pace of ecosystem development and the role of the Pi Core Team in driving innovation. 2. The Pi Core Team Doesn’t Build Everything – The Community Is the Heart of the Ecosystem The key point to understand is: Pi Network is a community-driven project. The Pi Core Team is not responsible for building all the apps. Their focus is on building the infrastructure, tools, and a safe environment – empowering external developers to independently create and deploy applications. Pi provides: - An optimized blockchain platform for mobile devices - SDKs, APIs, and developer documentation - A governance model that encourages innovation 3. Early Stage: Community-Built dApps – Underfunded But Passionate In the early stages, many applications were created by passionate pioneers, self-funded and full of creativity. However, due to budget limitations, most of these apps remained in experimental or prototype form, not yet ready for wide-scale deployment. Despite their early-stage nature, these apps played a crucial role in demonstrating Pi's blockchain potential and encouraging broader developer engagement. 4. A New Turning Point: $100 Million Ecosystem Fund and Pi Network Ventures A major change has arrived: Pi Network Ventures and a $100 million ecosystem fund have officially launched. This brings: - Strong financial support to upgrade promising apps - Opportunities to scale and enhance advanced features - Marketing assistance, user acquisition support, and long-term sustainability This is a decisive push paving the way for a wave of high-quality dApps ready for Mainnet. 5. A Diverse, Decentralized Ecosystem Built by the Community The Pi Core Team does not control everything but builds the foundation for an open ecosystem, where developers, entrepreneurs, and the community play leading roles. This decentralization helps to: - Increase application diversity - Avoid reliance on a single entity - Encourage collaboration and innovation from many directions 6. 100+ Apps Will Soon Arrive – And It’s More Than Just a Number As funding, tools, and community momentum converge, an app explosion is predictable: More than 100 dApps ready for Mainnet will soon emerge, spanning areas like: - Decentralized finance (DeFi) - Gaming (GameFi) - Social media - Supply chain - Payments, asset management, and more This will expand Pi’s real-world utility, attract more users, and strengthen Pi Network’s position in the Web3 space. 7. Why Patience and Cooperation Are Essential Building a global-scale blockchain ecosystem does not happen overnight. It requires: - Solid technology - Passionate development teams - A resilient and collaborative community - Time for products to mature and prove their value The patience and contributions of pioneers like you are the driving force of this journey. 8. A Broad Vision: Web3 and Social Impact The future of Pi Network is not just about technical platforms: It is about a connected ecosystem with social and economic impact, serving billions of people, not just a privileged few. With a focus on inclusive, meaningful, user-friendly applications, Pi is preparing for a fair and inclusive Web3 future. ✅Conclusion: 100+ Apps – Not Just an Empty Promise, But a Realization in Progress The question “Where are the 100 apps?” is fair. But more importantly, you need to know that: - The infrastructure is ready - The funding is available - The community is building continuously And you – the pioneer – are part of the answer. Be patient, collaborate, and support the developers and fellow pioneers. Because the future of Pi Network does not belong to just a few, it belongs to all of us working together.🐬🐬🐬 ------------------------- 🥰 P.S.: The Global GCV Core Team welcomes pioneers from around the world to work together to build a strong GCV-based Pi economy. Let’s co-create the future—united and strong! 📢 Join the global Pi movement on Telegram: [ ------------------------- 👉 Please Like, Share, and Comment to support the Pi Network’s global expansion! Your voice matters! 🥰 Pi Network Doris Yin 东方紫莲🪷 Lumari 🦋 NONNY PADJA NTT ❤ Eagle woman 🦅 @MoretopMovie M.Rad Olivier Ndatimana PATRICK CHUA KIAVASH brave Lee Mazi victor onyido Cherif Abiola IYANDA Herine Makosewe love life 2025 Mohammed Alademi Daniel Chen PiGCV_Spain西班牙 EDIER ALONSO RINCON @tkst RAMESH SHETTY hoda448🪷 Ganhoumeto dossou expedit ange Atty. Ebru 👑 Pi’N’Q Rabbit Av. N. Uğur Kadifeci solival Art💜" Global GCV Ambassador 🇫🇷 "💜
4:01

🐬🐬🐬PI NETWORK NEWS: Pi Network and the 100 Apps Ready for Mainnet: Understand Clearly, Wait Patiently, and Build Together 1. Frequently Asked Question: “Where Are the Promised 100 Apps?” As Pi Network progresses toward a truly decentralized blockchain ecosystem, the community naturally wonders: Where are the 100 decentralized applications (dApps) that were promised to be ready for Mainnet? This is a perfectly valid question, showing the community’s interest in the pace of ecosystem development and the role of the Pi Core Team in driving innovation. 2. The Pi Core Team Doesn’t Build Everything – The Community Is the Heart of the Ecosystem The key point to understand is: Pi Network is a community-driven project. The Pi Core Team is not responsible for building all the apps. Their focus is on building the infrastructure, tools, and a safe environment – empowering external developers to independently create and deploy applications. Pi provides: - An optimized blockchain platform for mobile devices - SDKs, APIs, and developer documentation - A governance model that encourages innovation 3. Early Stage: Community-Built dApps – Underfunded But Passionate In the early stages, many applications were created by passionate pioneers, self-funded and full of creativity. However, due to budget limitations, most of these apps remained in experimental or prototype form, not yet ready for wide-scale deployment. Despite their early-stage nature, these apps played a crucial role in demonstrating Pi's blockchain potential and encouraging broader developer engagement. 4. A New Turning Point: $100 Million Ecosystem Fund and Pi Network Ventures A major change has arrived: Pi Network Ventures and a $100 million ecosystem fund have officially launched. This brings: - Strong financial support to upgrade promising apps - Opportunities to scale and enhance advanced features - Marketing assistance, user acquisition support, and long-term sustainability This is a decisive push paving the way for a wave of high-quality dApps ready for Mainnet. 5. A Diverse, Decentralized Ecosystem Built by the Community The Pi Core Team does not control everything but builds the foundation for an open ecosystem, where developers, entrepreneurs, and the community play leading roles. This decentralization helps to: - Increase application diversity - Avoid reliance on a single entity - Encourage collaboration and innovation from many directions 6. 100+ Apps Will Soon Arrive – And It’s More Than Just a Number As funding, tools, and community momentum converge, an app explosion is predictable: More than 100 dApps ready for Mainnet will soon emerge, spanning areas like: - Decentralized finance (DeFi) - Gaming (GameFi) - Social media - Supply chain - Payments, asset management, and more This will expand Pi’s real-world utility, attract more users, and strengthen Pi Network’s position in the Web3 space. 7. Why Patience and Cooperation Are Essential Building a global-scale blockchain ecosystem does not happen overnight. It requires: - Solid technology - Passionate development teams - A resilient and collaborative community - Time for products to mature and prove their value The patience and contributions of pioneers like you are the driving force of this journey. 8. A Broad Vision: Web3 and Social Impact The future of Pi Network is not just about technical platforms: It is about a connected ecosystem with social and economic impact, serving billions of people, not just a privileged few. With a focus on inclusive, meaningful, user-friendly applications, Pi is preparing for a fair and inclusive Web3 future. ✅Conclusion: 100+ Apps – Not Just an Empty Promise, But a Realization in Progress The question “Where are the 100 apps?” is fair. But more importantly, you need to know that: - The infrastructure is ready - The funding is available - The community is building continuously And you – the pioneer – are part of the answer. Be patient, collaborate, and support the developers and fellow pioneers. Because the future of Pi Network does not belong to just a few, it belongs to all of us working together.🐬🐬🐬 ------------------------- 🥰 P.S.: The Global GCV Core Team welcomes pioneers from around the world to work together to build a strong GCV-based Pi economy. Let’s co-create the future—united and strong! 📢 Join the global Pi movement on Telegram: [ ------------------------- 👉 Please Like, Share, and Comment to support the Pi Network’s global expansion! Your voice matters! 🥰 Pi Network Doris Yin 东方紫莲🪷 Lumari 🦋 NONNY PADJA NTT ❤ Eagle woman 🦅 @MoretopMovie M.Rad Olivier Ndatimana PATRICK CHUA KIAVASH brave Lee Mazi victor onyido Cherif Abiola IYANDA Herine Makosewe love life 2025 Mohammed Alademi Daniel Chen PiGCV_Spain西班牙 EDIER ALONSO RINCON @tkst RAMESH SHETTY hoda448🪷 Ganhoumeto dossou expedit ange Atty. Ebru 👑 Pi’N’Q Rabbit Av. N. Uğur Kadifeci solival Art💜" Global GCV Ambassador 🇫🇷 "💜

JoJo-π

19,019 次观看 • 1 年前

The $HASHAI Ecosystem Over the past 15 months, Hash AI has built a robust and sustainable ecosystem that delivers real value to both individual users and businesses, all while operating under a fully self-sustaining 0/0% tax business model. ⚡️Crypto Mining Infrastructure 1,000+ ASIC Miners Efficient, high-performance machines dedicated to large-scale crypto mining. 100+ AI-Optimised GPU Rigs Enhanced by our AI algorithm for maximum efficiency and performance. 🌐 Node Rental & Lending Our high-performance nodes serve both B2B and B2C clients, providing scalable and reliable compute power for blockchain and AI workloads. Users can also lend their own nodes to the Hash AI ecosystem, contributing to network capacity while earning rewards. 🏢 Global Facilities Hash AI’s global infrastructure is designed for maximum uptime, security, and energy optimisation. These facilities ensure efficient operation and profitability across all mining activities. 💰Community Share Pool Designed to deliver consistent and reliable passive income, the Community Share Pool has already distributed nearly $1.5 million in mining profits to $HASHAI token holders. ⚙️ Coming Soon: Fractionalized ASIC Ownership Purpose-built facility in the UAE Located to provide the lowest operational costs and highest yields. Fractionalised ASIC Ownership Own a portion of physical crypto mining machines. Fully hosted and maintained by Hash AI. Earn Passive Mining Rewards Receive mining rewards without the hassle of managing hardware. RWA Marketplace Trade tokenised real-world assets using $HASHAI and other currencies.
0:29

The $HASHAI Ecosystem Over the past 15 months, Hash AI has built a robust and sustainable ecosystem that delivers real value to both individual users and businesses, all while operating under a fully self-sustaining 0/0% tax business model. ⚡️Crypto Mining Infrastructure 1,000+ ASIC Miners Efficient, high-performance machines dedicated to large-scale crypto mining. 100+ AI-Optimised GPU Rigs Enhanced by our AI algorithm for maximum efficiency and performance. 🌐 Node Rental & Lending Our high-performance nodes serve both B2B and B2C clients, providing scalable and reliable compute power for blockchain and AI workloads. Users can also lend their own nodes to the Hash AI ecosystem, contributing to network capacity while earning rewards. 🏢 Global Facilities Hash AI’s global infrastructure is designed for maximum uptime, security, and energy optimisation. These facilities ensure efficient operation and profitability across all mining activities. 💰Community Share Pool Designed to deliver consistent and reliable passive income, the Community Share Pool has already distributed nearly $1.5 million in mining profits to $HASHAI token holders. ⚙️ Coming Soon: Fractionalized ASIC Ownership Purpose-built facility in the UAE Located to provide the lowest operational costs and highest yields. Fractionalised ASIC Ownership Own a portion of physical crypto mining machines. Fully hosted and maintained by Hash AI. Earn Passive Mining Rewards Receive mining rewards without the hassle of managing hardware. RWA Marketplace Trade tokenised real-world assets using $HASHAI and other currencies.

Hash AI

21,489 次观看 • 1 年前

After 4 months of legal groundwork, engineering, and partnership development, we’re excited to introduce Kled Life. A fully new experience inside the Kled app that reimagines how user data is shared, and how users are compensated. Kled users can now link their Netflix, Uber, Gmail, Spotify, and over 100 more apps directly to their Kled profile. Every time you use those linked accounts, Kled securely captures your behavioral data, how you listen, watch, shop, move, and pays you for it. How many songs you played today. How many hours you streamed. Which games you love most. It’s data that’s usually extracted and sold behind your back. Now, you get a share of the game. All in under 60 seconds of setup. We’re excited to be rolling this out with our wonderful partners and collaborators who have made this possible. We’ve tasked over 300 select users to test out these features while we simultaneously organize this new data pipeline for enterprises. We expect Kled Life to triple the size of our user payouts and enterprise contract demand once rolled out to the public. Get paid for your data, get paid for using your phone, get paid for labeling data. One app. The ultimate data side hustle.
0:22

After 4 months of legal groundwork, engineering, and partnership development, we’re excited to introduce Kled Life. A fully new experience inside the Kled app that reimagines how user data is shared, and how users are compensated. Kled users can now link their Netflix, Uber, Gmail, Spotify, and over 100 more apps directly to their Kled profile. Every time you use those linked accounts, Kled securely captures your behavioral data, how you listen, watch, shop, move, and pays you for it. How many songs you played today. How many hours you streamed. Which games you love most. It’s data that’s usually extracted and sold behind your back. Now, you get a share of the game. All in under 60 seconds of setup. We’re excited to be rolling this out with our wonderful partners and collaborators who have made this possible. We’ve tasked over 300 select users to test out these features while we simultaneously organize this new data pipeline for enterprises. We expect Kled Life to triple the size of our user payouts and enterprise contract demand once rolled out to the public. Get paid for your data, get paid for using your phone, get paid for labeling data. One app. The ultimate data side hustle.

Kled AI

52,199 次观看 • 11 个月前

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!
3:50

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

Workshop AI

29,171 次观看 • 5 个月前

🚨 New a16z request for startups: "delightful utility" apps 🚨 Have you spun the discount wheel while shopping on Temu? Or grown emotionally attached to the Duolingo owl? Maybe you cycle harder on Peloton when you see your position on the leaderboard drop or log back into Snapchat just for your streak. The bar to create the next breakout hit is now higher because we've satiated many consumer needs. New apps need to not only provide core utility for users, but wrap that value in an experience that's genuinely engaging and delightful. A few illustrative ideas: - Visual-first no-code platforms that make AI prompting intuitive and rewarding - AI matchmakers (for dating/hiring/groups) with distinct personalities that users bond with - Social credit card games with real stakes and competition - IP-driven AI companions that offer both entertainment and emotional support When the competition for attention is fierce, sometimes the moat is engagement itself—delivering value, but in a way that's more captivating than competitors. We're looking for: - Fast time to delight: Games put you immediately in the action. How quickly can you deliver the magic moment to users? What subsequent moments keep them coming back? - Founders with viral instincts. Driving attention isn't random—it's a repeatable skill set. In today's competitive landscape, founders need to naturally generate buzz and drive attention to themselves. - Monetization that scales with engagement. The best apps offer spending opportunities proportional to user investment. Simple subscriptions create a step-function demand curve, think like a game and monetize discretely along the entire curve. - Genuine stickiness. High retention across both paid and free users signals true product-market resonance. This can't be faked—it proves your core loop works. If you're building in this space, apply to speedrun. We want to back founders who are creating delightful experiences and take fun seriously.
1:36

🚨 New a16z request for startups: "delightful utility" apps 🚨 Have you spun the discount wheel while shopping on Temu? Or grown emotionally attached to the Duolingo owl? Maybe you cycle harder on Peloton when you see your position on the leaderboard drop or log back into Snapchat just for your streak. The bar to create the next breakout hit is now higher because we've satiated many consumer needs. New apps need to not only provide core utility for users, but wrap that value in an experience that's genuinely engaging and delightful. A few illustrative ideas: - Visual-first no-code platforms that make AI prompting intuitive and rewarding - AI matchmakers (for dating/hiring/groups) with distinct personalities that users bond with - Social credit card games with real stakes and competition - IP-driven AI companions that offer both entertainment and emotional support When the competition for attention is fierce, sometimes the moat is engagement itself—delivering value, but in a way that's more captivating than competitors. We're looking for: - Fast time to delight: Games put you immediately in the action. How quickly can you deliver the magic moment to users? What subsequent moments keep them coming back? - Founders with viral instincts. Driving attention isn't random—it's a repeatable skill set. In today's competitive landscape, founders need to naturally generate buzz and drive attention to themselves. - Monetization that scales with engagement. The best apps offer spending opportunities proportional to user investment. Simple subscriptions create a step-function demand curve, think like a game and monetize discretely along the entire curve. - Genuine stickiness. High retention across both paid and free users signals true product-market resonance. This can't be faked—it proves your core loop works. If you're building in this space, apply to speedrun. We want to back founders who are creating delightful experiences and take fun seriously.

robin

134,178 次观看 • 1 年前

BREAKING: SpaceXAI has added a new guide called “Grok Bot 101” It explains how to create a personal AI teammate in just 10 to 15 minutes, teach it real workflows, connect apps, and build teams of specialized bots that continue working in the cloud even after you close your laptop. Here is the full guide in simple terms: • What is Grok Bot Grok Bot is an AI agent with its own persistent computer in the cloud. It has a desktop, files, terminal, browser, and apps. It can browse the web, use software, write and run code, and complete tasks just like someone using a computer. You can access the same computer from your phone or desktop. When needed, Grok Bot can hand control back to you for a CAPTCHA, 2FA, or secure login. • Creating a bot Give the bot a name, title, and detailed instructions. You can explain the workflow through chat or record yourself completing the task. Once trained, the bot can repeat that workflow whenever needed. It can also use MCP servers, plugins, skills, and connected services such as Gmail, Google Calendar, Google Drive, and Slack. • Three ways to use Grok Bot Send it a message in chat. Create schedules or triggers, such as monitoring a Slack thread or GitHub PR. Allow bots to message and activate other bots. • Permissions and safety You can write rules in normal language explaining what the bot can and cannot do. A separate review agent checks proposed actions and can allow them, block them, or ask you for approval. Allow and block lists provide additional control, while the work runs inside an isolated environment. One important detail: if you log into a website with one bot, other bots using that shared cloud computer can also access it. • Multi-bot teams You can create specialist bots for different jobs and let them work together. One bot can ask another for help, several bots can work inside a group chat, and a scheduled routine can move a task through multiple specialists until the work is finished. • Personal CRM The author created a bot that turned the 800 to 900 people he follows on X into a private Notion CRM containing public profile information. It helps him find and reconnect with people when traveling. • Arnold, the fitness bot He replaced a complicated fitness app with a Grok Bot strength-training coach named Arnold. The bot uses MCP servers, plugins, and skills while requiring less maintenance. Its behavior can be updated simply by chatting with it. • Building software Grok Bot gathers information from Slack, Notion, GitHub, documentation, and other sources. It then creates a clean prompt and sends it to a specialized Cursor cloud agent that builds the software. Grok Bot handles the planning and coordination, while the coding agent handles the actual build. • Searching company knowledge Grok Bot can search across codebases, Slack conversations, Notion pages, GitHub, and internal documents to answer product or company questions. This helps people find information faster and reduces the need to interrupt coworkers. • The biggest takeaway Instead of repeatedly building scripts or complicated apps, you can describe a workflow to Grok Bot, improve it through chat, reuse it, and let it continue working in the cloud. Grok Bot is not just another chatbot. It is a real AI teammate with a computer that can use tools, coordinate specialists, and get actual work done. The future of work is becoming incredibly exciting.
0:23

BREAKING: SpaceXAI has added a new guide called “Grok Bot 101” It explains how to create a personal AI teammate in just 10 to 15 minutes, teach it real workflows, connect apps, and build teams of specialized bots that continue working in the cloud even after you close your laptop. Here is the full guide in simple terms: • What is Grok Bot Grok Bot is an AI agent with its own persistent computer in the cloud. It has a desktop, files, terminal, browser, and apps. It can browse the web, use software, write and run code, and complete tasks just like someone using a computer. You can access the same computer from your phone or desktop. When needed, Grok Bot can hand control back to you for a CAPTCHA, 2FA, or secure login. • Creating a bot Give the bot a name, title, and detailed instructions. You can explain the workflow through chat or record yourself completing the task. Once trained, the bot can repeat that workflow whenever needed. It can also use MCP servers, plugins, skills, and connected services such as Gmail, Google Calendar, Google Drive, and Slack. • Three ways to use Grok Bot Send it a message in chat. Create schedules or triggers, such as monitoring a Slack thread or GitHub PR. Allow bots to message and activate other bots. • Permissions and safety You can write rules in normal language explaining what the bot can and cannot do. A separate review agent checks proposed actions and can allow them, block them, or ask you for approval. Allow and block lists provide additional control, while the work runs inside an isolated environment. One important detail: if you log into a website with one bot, other bots using that shared cloud computer can also access it. • Multi-bot teams You can create specialist bots for different jobs and let them work together. One bot can ask another for help, several bots can work inside a group chat, and a scheduled routine can move a task through multiple specialists until the work is finished. • Personal CRM The author created a bot that turned the 800 to 900 people he follows on X into a private Notion CRM containing public profile information. It helps him find and reconnect with people when traveling. • Arnold, the fitness bot He replaced a complicated fitness app with a Grok Bot strength-training coach named Arnold. The bot uses MCP servers, plugins, and skills while requiring less maintenance. Its behavior can be updated simply by chatting with it. • Building software Grok Bot gathers information from Slack, Notion, GitHub, documentation, and other sources. It then creates a clean prompt and sends it to a specialized Cursor cloud agent that builds the software. Grok Bot handles the planning and coordination, while the coding agent handles the actual build. • Searching company knowledge Grok Bot can search across codebases, Slack conversations, Notion pages, GitHub, and internal documents to answer product or company questions. This helps people find information faster and reduces the need to interrupt coworkers. • The biggest takeaway Instead of repeatedly building scripts or complicated apps, you can describe a workflow to Grok Bot, improve it through chat, reuse it, and let it continue working in the cloud. Grok Bot is not just another chatbot. It is a real AI teammate with a computer that can use tools, coordinate specialists, and get actual work done. The future of work is becoming incredibly exciting.

DogeDesigner

86,634 次观看 • 16 小时前

🚀 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 次观看 • 1 年前

How does voting on amendments work? Note: Video attached, links to the video and sources on all platforms in the second tweet. I would appreciate you subscribing to me on YouTube and TikTok as well. In the decentralised world of the XRP Ledger, there isn’t a single entity or authority dictating the rules or making unilateral decisions. Instead, the ledger relies on a process involving a select group, known as the Unique Node List (UNL) validators, to navigate its course, particularly when making changes or updates, known as "amendments". Amendments for the XRPL are proposed alterations to functionality and can encompass various aspects, such as introducing new features, enhancing existing functionalities, or rectifying issues. While the network is open to everyone, the 35 UNL validators hold the voting power to decide whether these proposed amendments get a green light. The network independently tallies these votes and determines if an amendment has garnered enough "yes" votes to be instituted as a new rule. If an amendment secures a "yes" from enough nodes for a continuous two-week period, it becomes activated, making the introduced change or feature available. The threshold is 80% of all eligible nodes. An intriguing aspect of this process lies in the evolution of rippled itself. In earlier software versions, servers would automatically vote "yes" to any amendments they understood unless configured otherwise by their operators. However, in more recent versions, such as 1.9.2 and newer, the default to voting was changed to "no" for new features, except for changes to fix bugs. Regardless of whether the default vote is "yes" or "no", it’s imperative for the operators, those who manage the servers, to assess the impact of amendments diligently. They ought to decide their vote based on their best judgement and the criteria they deem significant. This information is pivotal in sharing insights on amendments and elucidating how validators should cast their votes. When a rule has been in place for two years, it can be "retired". This means it becomes a standard part of how things work and isn’t considered an amendment anymore. It's like the rule becomes so normal that it's just a regular part of the game. If you are curious to see how validators vote and the progress of certain amendments is, you can check the visualisation on xrpscan. Please remember that UNL nodes can be added or dropped at any time, which means the number of nodes can change. The threshold in percent remains the same. In simpler terms, the XRPL employs a democratic approach to implement changes, albeit with voting power concentrated in the hands of the 35 UNL validators. Amendments, or proposed changes, need a substantial amount of "yes" votes, from 80% of all eligible nodes, to become a permanent part of the ledger’s operation. It’s crucial for server operators to thoughtfully consider how they vote on amendments, ensuring the network remains secure and operates effectively for all participants. The unwavering commitment of UNL node operators is sole to the XRPL, irrespective of the preferences or wishes of any particular party. All participants tirelessly endeavour to ensure the ledger remains secure and operational at all times. NOTE: As voting is a hot topic, I quoted the AMM Tweet, allowing you to see the process in action.
3:53

How does voting on amendments work? Note: Video attached, links to the video and sources on all platforms in the second tweet. I would appreciate you subscribing to me on YouTube and TikTok as well. In the decentralised world of the XRP Ledger, there isn’t a single entity or authority dictating the rules or making unilateral decisions. Instead, the ledger relies on a process involving a select group, known as the Unique Node List (UNL) validators, to navigate its course, particularly when making changes or updates, known as "amendments". Amendments for the XRPL are proposed alterations to functionality and can encompass various aspects, such as introducing new features, enhancing existing functionalities, or rectifying issues. While the network is open to everyone, the 35 UNL validators hold the voting power to decide whether these proposed amendments get a green light. The network independently tallies these votes and determines if an amendment has garnered enough "yes" votes to be instituted as a new rule. If an amendment secures a "yes" from enough nodes for a continuous two-week period, it becomes activated, making the introduced change or feature available. The threshold is 80% of all eligible nodes. An intriguing aspect of this process lies in the evolution of rippled itself. In earlier software versions, servers would automatically vote "yes" to any amendments they understood unless configured otherwise by their operators. However, in more recent versions, such as 1.9.2 and newer, the default to voting was changed to "no" for new features, except for changes to fix bugs. Regardless of whether the default vote is "yes" or "no", it’s imperative for the operators, those who manage the servers, to assess the impact of amendments diligently. They ought to decide their vote based on their best judgement and the criteria they deem significant. This information is pivotal in sharing insights on amendments and elucidating how validators should cast their votes. When a rule has been in place for two years, it can be "retired". This means it becomes a standard part of how things work and isn’t considered an amendment anymore. It's like the rule becomes so normal that it's just a regular part of the game. If you are curious to see how validators vote and the progress of certain amendments is, you can check the visualisation on xrpscan. Please remember that UNL nodes can be added or dropped at any time, which means the number of nodes can change. The threshold in percent remains the same. In simpler terms, the XRPL employs a democratic approach to implement changes, albeit with voting power concentrated in the hands of the 35 UNL validators. Amendments, or proposed changes, need a substantial amount of "yes" votes, from 80% of all eligible nodes, to become a permanent part of the ledger’s operation. It’s crucial for server operators to thoughtfully consider how they vote on amendments, ensuring the network remains secure and operates effectively for all participants. The unwavering commitment of UNL node operators is sole to the XRPL, irrespective of the preferences or wishes of any particular party. All participants tirelessly endeavour to ensure the ledger remains secure and operational at all times. NOTE: As voting is a hot topic, I quoted the AMM Tweet, allowing you to see the process in action.

Daniel "CEO of the XRPL" Keller

61,964 次观看 • 2 年前

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!
2:43

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,234 次观看 • 1 年前

𝗜𝗣 + 𝗔𝗜 = 𝗚𝗮𝗺𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝗿𝘀 But traditional licensing models make it hard to track, attribute, and creatively reuse IP. If you’re a creator, you know the pain, your work gets lost in the shuffle | Camp Network is the answer to all these issues, i can explain ↓ ------------------◈------------------ Now with the Origin & mAItrix framework, everything is seamless and transparent for creators This framework is a system where IP can be minted, owned, remixed, and monetized, all transparently and verifiably onchain. Let me explain how it works ↓ So first Origin - AI Tokenization Origin SDK lets developers and users instantly turn creations into IP NFTs and; These NFTs are automatically streamed into mAItrix, Camp’s AI framework, without friction. ------------------◈------------------ Next is mAItrix - AI Agents Trained on User-Owned IP This is a modular agent system that learns directly from IP in Camp’s registry. So basically it powers intelligent remixing, co-creation, and new content generation. Every derivative carries embedded attribution + real-time royalties back to original creators. The result of all these? ------------------◈------------------ A scalable co-creation ecosystem where fans, creators and users can build on their favorite IP, remix it with AI, & the best part? The source creators still get paid and credited instantly, on Camp Network, derivatives can be just as valuable as the originals. Now that's not even all, I'll make a video step by step guide This is to show you how to actually use the tech & remix TrailHeads for yourself, so check video below ↓ ◉ X: Camp Network ◉ Remix: ◉ TrailHeads X: TrailHeads ⛺️ ◉ [ bullpost Rova ] Will definitely drop a guide on how to get the $CAMP faucet and adding the network to wallet.
1:45

𝗜𝗣 + 𝗔𝗜 = 𝗚𝗮𝗺𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝗿𝘀 But traditional licensing models make it hard to track, attribute, and creatively reuse IP. If you’re a creator, you know the pain, your work gets lost in the shuffle | Camp Network is the answer to all these issues, i can explain ↓ ------------------◈------------------ Now with the Origin & mAItrix framework, everything is seamless and transparent for creators This framework is a system where IP can be minted, owned, remixed, and monetized, all transparently and verifiably onchain. Let me explain how it works ↓ So first Origin - AI Tokenization Origin SDK lets developers and users instantly turn creations into IP NFTs and; These NFTs are automatically streamed into mAItrix, Camp’s AI framework, without friction. ------------------◈------------------ Next is mAItrix - AI Agents Trained on User-Owned IP This is a modular agent system that learns directly from IP in Camp’s registry. So basically it powers intelligent remixing, co-creation, and new content generation. Every derivative carries embedded attribution + real-time royalties back to original creators. The result of all these? ------------------◈------------------ A scalable co-creation ecosystem where fans, creators and users can build on their favorite IP, remix it with AI, & the best part? The source creators still get paid and credited instantly, on Camp Network, derivatives can be just as valuable as the originals. Now that's not even all, I'll make a video step by step guide This is to show you how to actually use the tech & remix TrailHeads for yourself, so check video below ↓ ◉ X: Camp Network ◉ Remix: ◉ TrailHeads X: TrailHeads ⛺️ ◉ [ bullpost Rova ] Will definitely drop a guide on how to get the $CAMP faucet and adding the network to wallet.

Kellen 🗻

28,528 次观看 • 1 年前

“All new fails” - Zynga CEO Mark Pincus explains his favorite product principle “All new fails. If all new worked, we’d be using new stuff all the time. But how often do you change what’s on the front of your iPhone? How often do the top 10 or 25 apps change? They haven’t changed in 8 years because all new fails. A million new apps a year — they all fail.” This realization led Mark to develop a new approach to building products that he calls “Proven. Better. New.” And he explains how he used it to build Zynga Poker into the largest poker site in the world. “De-risk it. Start with with what’s proven. You don’t have the right to change proven. You should copy every pixel of [an experience that already works — legally, of course]… What you think is ‘better’ is called ‘new.’ When you say it’s better, that’s because you’re naive. Grow up. I’m guilty of this too — we all are. We get emotional and fall in love with our own ideas, so we need something to hold us accountable.” Zynga Poker copied every other online poker game as their starting point. The next step is to add one thing that’s undeniably better for users. For Zynga poker this was not having to download the application. “You lose half your users every time they have to click download,” Mark explains. “I don’t even need to ask, I know that’s better.” The last step is to add something new that might work. For Zynga Poker, this was adding pictures of real people — often your friends — to the game. The game was an instant hit. Mark urges founders to look at the product through your user’s eyes — not your peers: “This isn’t about getting respect in this little bubble [of Silicon Valley]… This is about normal, real-life humans. They don’t care if you copied. They don’t care how innovative it is. All they care about is, ‘Does it feel better?’ And they can’t even tell you why… Innovation often comes in smaller bits.” Video source: a16z speedrun 🧊 (2025)
2:43

“All new fails” - Zynga CEO Mark Pincus explains his favorite product principle “All new fails. If all new worked, we’d be using new stuff all the time. But how often do you change what’s on the front of your iPhone? How often do the top 10 or 25 apps change? They haven’t changed in 8 years because all new fails. A million new apps a year — they all fail.” This realization led Mark to develop a new approach to building products that he calls “Proven. Better. New.” And he explains how he used it to build Zynga Poker into the largest poker site in the world. “De-risk it. Start with with what’s proven. You don’t have the right to change proven. You should copy every pixel of [an experience that already works — legally, of course]… What you think is ‘better’ is called ‘new.’ When you say it’s better, that’s because you’re naive. Grow up. I’m guilty of this too — we all are. We get emotional and fall in love with our own ideas, so we need something to hold us accountable.” Zynga Poker copied every other online poker game as their starting point. The next step is to add one thing that’s undeniably better for users. For Zynga poker this was not having to download the application. “You lose half your users every time they have to click download,” Mark explains. “I don’t even need to ask, I know that’s better.” The last step is to add something new that might work. For Zynga Poker, this was adding pictures of real people — often your friends — to the game. The game was an instant hit. Mark urges founders to look at the product through your user’s eyes — not your peers: “This isn’t about getting respect in this little bubble [of Silicon Valley]… This is about normal, real-life humans. They don’t care if you copied. They don’t care how innovative it is. All they care about is, ‘Does it feel better?’ And they can’t even tell you why… Innovation often comes in smaller bits.” Video source: a16z speedrun 🧊 (2025)

Startup Archive

115,727 次观看 • 1 年前

We're cooking up a mechanism to seamlessly resume streams and share state across Fluid functions. AI apps pose an interesting challenge to developers: they need to stream feedback in realtime, they have multiple agents behind the scenes, the conversation needs to be shareable, resumable, survive network disconnections. Even with this kind of stuff was non-trivial. You always need a durability source (in this demo below, you can see the 'stream id' in the URL), so a stateful bidirectional transport like WebSocket is *not enough*. Not only is it not enough, it's also not necessary (the demo below uses good ol' HTTP streaming). Also: what happens if the stateful Node WebSocket server was re-deployed mid-stream? or if it crashed? how do the streams recover? I'm excited for Vercel to give you all the primitives to execute on applications that raise the bar on not just performance, but also on fault tolerance. h/t Malte Ubl for sweating the details here.
0:27

We're cooking up a mechanism to seamlessly resume streams and share state across Fluid functions. AI apps pose an interesting challenge to developers: they need to stream feedback in realtime, they have multiple agents behind the scenes, the conversation needs to be shareable, resumable, survive network disconnections. Even with this kind of stuff was non-trivial. You always need a durability source (in this demo below, you can see the 'stream id' in the URL), so a stateful bidirectional transport like WebSocket is *not enough*. Not only is it not enough, it's also not necessary (the demo below uses good ol' HTTP streaming). Also: what happens if the stateful Node WebSocket server was re-deployed mid-stream? or if it crashed? how do the streams recover? I'm excited for Vercel to give you all the primitives to execute on applications that raise the bar on not just performance, but also on fault tolerance. h/t Malte Ubl for sweating the details here.

Guillermo Rauch

116,906 次观看 • 1 年前

When we started Score, the standard computer vision tools already existed. About a million people use them every day. Most of those people are still waiting on labels, running training jobs by hand, and watching models fail once they leave the test set. Most of those people are still waiting on labels, running training jobs by hand, and watching models fail once they leave the test set. Most of those people are also still waiting on verified computer vision models, evaluated against real life conditions and ready to be deployed for them to deliver value for their teams, clients or users. Score Studio is the full computer vision path in one place. A team describes the problem. The system can generate the missing scenes, label them, train the candidates, evaluate which ones actually hold, and deploy the winner. Data, labels, training, eval, ship. One loop. If no model exists for that job yet, they can put a bounty on the subnet. Anything from a small vision brick to a full VLM. Miners compete on the task. Only the winning work comes back. Same path for software agents. Any agent can call it. Built to be fully agent-accessible. Built for the people who already do this work: computer vision engineers and the small teams around them in plants, warehouses, farms, robotics, sport, and security. And for the agents those teams will run. That is the part that changes the job. Not another training screen. The stretch that used to take a lab and a calendar, footage, boxes, versions, failed runs, a separate deploy project, sits behind one starting point. And if the network needs a new model, that request is part of the same path. We spent more than a year building it. Then we had a choice. Keep it for us, or commoditize the whole subnet and make it available 24/7, in permissionless and open-source way. And we knew we couldn't keep it for us. It had to live on Bittensor. Open source software already showed how this should work. Infrastructure should not sit inside one company. Same idea as open AI before the phrase changed meaning: inspect it, fork it, keep building. That is what SN44 is for. Open vision intelligence, powered by Bittensor. Miners do the work. Studio is how that gets monetized. Profit does not stay in a company account. It goes back into the subnet through buyback and burn. We built the tool we wanted on day one. It will live on the network now, and for ever. Waitlist is open.
1:11

When we started Score, the standard computer vision tools already existed. About a million people use them every day. Most of those people are still waiting on labels, running training jobs by hand, and watching models fail once they leave the test set. Most of those people are still waiting on labels, running training jobs by hand, and watching models fail once they leave the test set. Most of those people are also still waiting on verified computer vision models, evaluated against real life conditions and ready to be deployed for them to deliver value for their teams, clients or users. Score Studio is the full computer vision path in one place. A team describes the problem. The system can generate the missing scenes, label them, train the candidates, evaluate which ones actually hold, and deploy the winner. Data, labels, training, eval, ship. One loop. If no model exists for that job yet, they can put a bounty on the subnet. Anything from a small vision brick to a full VLM. Miners compete on the task. Only the winning work comes back. Same path for software agents. Any agent can call it. Built to be fully agent-accessible. Built for the people who already do this work: computer vision engineers and the small teams around them in plants, warehouses, farms, robotics, sport, and security. And for the agents those teams will run. That is the part that changes the job. Not another training screen. The stretch that used to take a lab and a calendar, footage, boxes, versions, failed runs, a separate deploy project, sits behind one starting point. And if the network needs a new model, that request is part of the same path. We spent more than a year building it. Then we had a choice. Keep it for us, or commoditize the whole subnet and make it available 24/7, in permissionless and open-source way. And we knew we couldn't keep it for us. It had to live on Bittensor. Open source software already showed how this should work. Infrastructure should not sit inside one company. Same idea as open AI before the phrase changed meaning: inspect it, fork it, keep building. That is what SN44 is for. Open vision intelligence, powered by Bittensor. Miners do the work. Studio is how that gets monetized. Profit does not stay in a company account. It goes back into the subnet through buyback and burn. We built the tool we wanted on day one. It will live on the network now, and for ever. Waitlist is open.

Score

11,292 次观看 • 15 天前

WhatsApp founder Jan Koum on how to deal with competition “We always had competition - like from day one. There was actually a point in time where there was a new messaging app popping up every month. And every month there was an article on TechCrunch about how this awesome new messaging app is going to take down all other messaging apps.” But the early WhatsApp team basically just ignored it: “We didn’t say anything because we didn’t want to draw attention to ourselves. We actually - on purpose - tried to stay under the radar. But it was just kind of funny to see this dog and pony show that happened with all these apps. There was PingMe. There was MessageMe. There was GroupMe. There was Kick… There were 10 different messaging apps at some point which kept getting all this publicity.” Jan and team said: “Good for you. Have all the publicity you want. We will just stay under the radar and not have any attention drawn to us.” Jan continues: “We always had competition - be it big guys like iMessage or Facebook Messenger or little guys like Kick… Even today we have apps like Telegram… But we always said that our destiny is really in our hands. We can’t worry too much about competition. We have to worry about our product and our users. And if we spend a lot of time thinking about competition or looking at competition, we’re going to fail.” Video source: Stanford Online (2017)
1:20

WhatsApp founder Jan Koum on how to deal with competition “We always had competition - like from day one. There was actually a point in time where there was a new messaging app popping up every month. And every month there was an article on TechCrunch about how this awesome new messaging app is going to take down all other messaging apps.” But the early WhatsApp team basically just ignored it: “We didn’t say anything because we didn’t want to draw attention to ourselves. We actually - on purpose - tried to stay under the radar. But it was just kind of funny to see this dog and pony show that happened with all these apps. There was PingMe. There was MessageMe. There was GroupMe. There was Kick… There were 10 different messaging apps at some point which kept getting all this publicity.” Jan and team said: “Good for you. Have all the publicity you want. We will just stay under the radar and not have any attention drawn to us.” Jan continues: “We always had competition - be it big guys like iMessage or Facebook Messenger or little guys like Kick… Even today we have apps like Telegram… But we always said that our destiny is really in our hands. We can’t worry too much about competition. We have to worry about our product and our users. And if we spend a lot of time thinking about competition or looking at competition, we’re going to fail.” Video source: Stanford Online (2017)

Startup Archive

34,688 次观看 • 1 年前