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Internet Computer's Tech Powers Autonomous Enterprise Superintelligence Internet Computer (DFINITY Foundation)'s "Cloud Engine" architecture is transitioning the ecosystem from a static smart contract platform to a living "AIware" environment. This paradigm shift enables decentralized software to rebuild itself in real time by integrating AI agents directly into applications' persistent...

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#ICP tech is insane! Says Coin Bureau 👽🧠🤩🔥 💯end-to-end #blockchain #AI on #Web3 ✅ Fast secure new internet for any app, host anything. No aws or other web2 cloud required!The question is are you ready? DFINITY Foundation dom | icp
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#ICP tech is insane! Says Coin Bureau 👽🧠🤩🔥 💯end-to-end #blockchain #AI on #Web3 ✅ Fast secure new internet for any app, host anything. No aws or other web2 cloud required!The question is are you ready? DFINITY Foundation dom | icp

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Cloud lock-in is the tech industry’s dirty secret. Cloud engines on DFINITY Foundation are about to fix that: → Create an engine on Amazon → Deploy your apps → Move the whole thing to Google — instantly → Or distribute across both for resilience Just like the internet runs across everything, the Internet Computer will too.
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Cloud lock-in is the tech industry’s dirty secret. Cloud engines on DFINITY Foundation are about to fix that: → Create an engine on Amazon → Deploy your apps → Move the whole thing to Google — instantly → Or distribute across both for resilience Just like the internet runs across everything, the Internet Computer will too.

DFINITY Foundation

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Dominic Williams Unveils The Self-Writing Internet on ICP ☕♾☁️🤖🚀 This is the **iPhone moment** of web3 and blockchain Empowering 5 billion people to become software developers and deploy decentralized Apps (Dapps) On Chain Bravo dom | icp DFINITY Foundation ☕♾️👏🎆🚀 Vid produced by Chris Yost of the Cloud Foundation 📡Cloud Foundation ☁️📡@icphub_US📡ICP HUBS NETWORK $ICP $CLOUD #InternetComputer #InternetComputerProtocol
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ChrisYost.icp ∞

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$ICP 's new cloud engine demo by dom | icp shows how easy it is to build cloud engines through ICP🤯 Some more great work from DFINITY Foundation as anyone can now built a decentralised cloud engine in genuinely less than hour🤯 Crazy what $ICP is doing, they're creating the future!
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$ICP 's new cloud engine demo by dom | icp shows how easy it is to build cloud engines through ICP🤯 Some more great work from DFINITY Foundation as anyone can now built a decentralised cloud engine in genuinely less than hour🤯 Crazy what $ICP is doing, they're creating the future!

ALLINCRYPTO

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📢 NEW EPISODE: World Computer Tech Talks - How to Build Full Stack dApps Samuel Burri ∞ reveals how developers can create true end-to-end decentralized applications on the Internet Computer: 🔗 Code and state in one canister 💻 Multiple programming language options 🌐 Onchain frontend and backend Discover dApps on ICP: Watch now:
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📢 NEW EPISODE: World Computer Tech Talks - How to Build Full Stack dApps Samuel Burri ∞ reveals how developers can create true end-to-end decentralized applications on the Internet Computer: 🔗 Code and state in one canister 💻 Multiple programming language options 🌐 Onchain frontend and backend Discover dApps on ICP: Watch now:

DFINITY

13,295 просмотров • 1 год назад

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

234,030 просмотров • 1 месяц назад

THERE IS NO OTHER TECH LIKE THIS - #ICP is a rare "crypto cloud" protocol, a sovereign full-stack software platform, with native #Bitcoin support. It is uniquely the intersection of key software, elevating all who collaborate. Calling for leaders. 🙏
2:53

THERE IS NO OTHER TECH LIKE THIS - #ICP is a rare "crypto cloud" protocol, a sovereign full-stack software platform, with native #Bitcoin support. It is uniquely the intersection of key software, elevating all who collaborate. Calling for leaders. 🙏

∞ Eerik Potter ∞

23,997 просмотров • 1 год назад

BREAKING: A technical group has formed between The Hashgraph Association & DFINITY to explore: 🌐 Enabling Hedera apps to run AI logic directly on-chain. ☁️ Replacing dApp front-end cloud infrastructure with #ICP native technology. 🌉 Chain Fusion interoperability on #HBAR network.
1:44

BREAKING: A technical group has formed between The Hashgraph Association & DFINITY to explore: 🌐 Enabling Hedera apps to run AI logic directly on-chain. ☁️ Replacing dApp front-end cloud infrastructure with #ICP native technology. 🌉 Chain Fusion interoperability on #HBAR network.

Generation Infinity

67,874 просмотров • 1 год назад

The new Internet paradigm: speak your vision, get a working website. But it doesn't end there – you'll continuously evolve your creation through ongoing AI conversation. Refresh the URL to see changes in real-time, whether you have a few users or billions.
0:34

The new Internet paradigm: speak your vision, get a working website. But it doesn't end there – you'll continuously evolve your creation through ongoing AI conversation. Refresh the URL to see changes in real-time, whether you have a few users or billions.

DFINITY Foundation

12,417 просмотров • 1 год назад

🚀 Dominic Williams, the genius behind Internet Computer $ICP and DFINITY, dives into the future of the internet in the latest podcast with Acumen Media! 🎧🌐 🧠 He breaks down how the internet is evolving into a self-writing, decentralized powerhouse, thanks to the World Computer—known as $ICP. Imagine dApps running directly on the internet, no centralized servers needed! 💻✨ 💡 What’s $ICP all about? A blockchain network built for the future of decentralized applications (dApps) 🌍🔗 No central servers, just pure, open internet freedom! The $ICP token powers governance, staking, and computation through "cycles." 🔄💰 🔐 Cybersecurity: Built to withstand cyber attacks, the Internet Computer ensures a secure, resilient space for developers and users alike. 🛡️🖥️
10:48

🚀 Dominic Williams, the genius behind Internet Computer $ICP and DFINITY, dives into the future of the internet in the latest podcast with Acumen Media! 🎧🌐 🧠 He breaks down how the internet is evolving into a self-writing, decentralized powerhouse, thanks to the World Computer—known as $ICP. Imagine dApps running directly on the internet, no centralized servers needed! 💻✨ 💡 What’s $ICP all about? A blockchain network built for the future of decentralized applications (dApps) 🌍🔗 No central servers, just pure, open internet freedom! The $ICP token powers governance, staking, and computation through "cycles." 🔄💰 🔐 Cybersecurity: Built to withstand cyber attacks, the Internet Computer ensures a secure, resilient space for developers and users alike. 🛡️🖥️

ThriveNex

16,892 просмотров • 1 год назад

The Internet Computer will introduce a cloud engine experience that mirrors what enterprises already know. One click. Your own corner of the cloud. Configured to your needs. Same UX as signing into AWS or Cloudflare — but on the only cloud created by a network. The Internet Computer is becoming enterprise-ready.
0:51

The Internet Computer will introduce a cloud engine experience that mirrors what enterprises already know. One click. Your own corner of the cloud. Configured to your needs. Same UX as signing into AWS or Cloudflare — but on the only cloud created by a network. The Internet Computer is becoming enterprise-ready.

DFINITY Foundation

22,715 просмотров • 4 месяцев назад

AI agents are powerful — but they weren't trained on ICP. ICP Skills gives them real knowledge — so they can build sovereign software on an onchain open cloud that's tamperproof, unstoppable, and handles digital assets and payments.
0:22

AI agents are powerful — but they weren't trained on ICP. ICP Skills gives them real knowledge — so they can build sovereign software on an onchain open cloud that's tamperproof, unstoppable, and handles digital assets and payments.

DFINITY Foundation

57,194 просмотров • 3 месяцев назад

$ICP will SAVE the internet from itself 📡♾📡♾📡♾📡♾📡♾📡 Huge shoutout to Cloud Foundation ☁️ and Jerry Banfield for introducing IC to the world in such a powerful way! DFINITY Foundation dom | icp #InternetComputerProtocol
2:34

$ICP will SAVE the internet from itself 📡♾📡♾📡♾📡♾📡♾📡 Huge shoutout to Cloud Foundation ☁️ and Jerry Banfield for introducing IC to the world in such a powerful way! DFINITY Foundation dom | icp #InternetComputerProtocol

ChrisYost.icp ∞

33,701 просмотров • 1 год назад

MULTIPLE New Paradigms are Colliding on ICP 1.) You will have your own private, sovereign cloud that YOU OWN & CONTROL 2.) LLMs will be embedded that can build you custom applications on command A new paradigm is being DROPPED into a new paradigm THIS IS INSANE #ICP $ICP
27:54

MULTIPLE New Paradigms are Colliding on ICP 1.) You will have your own private, sovereign cloud that YOU OWN & CONTROL 2.) LLMs will be embedded that can build you custom applications on command A new paradigm is being DROPPED into a new paradigm THIS IS INSANE #ICP $ICP

Cloud Foundation

21,172 просмотров • 1 год назад

“Software engineering is changing, and by the end of 2025, it's going to look fundamentally different.” OpenAI co-founder Greg Brockman says Codex is a remote software agent that runs in parallel in your repo, and writes code like a teammate. The new model is optimized from o3 to produce mergeable, real-world code.
1:37

“Software engineering is changing, and by the end of 2025, it's going to look fundamentally different.” OpenAI co-founder Greg Brockman says Codex is a remote software agent that runs in parallel in your repo, and writes code like a teammate. The new model is optimized from o3 to produce mergeable, real-world code.

vitrupo

35,303 просмотров • 1 год назад

Casually listening to the WORLD's FIRST DECENTRALIZED RADIO in my car. $ICP Built by prompting caffeine I'm speechless this runs on Internet Computer... 🤯😵‍💫 ICP is so powerful...
1:52

Casually listening to the WORLD's FIRST DECENTRALIZED RADIO in my car. $ICP Built by prompting caffeine I'm speechless this runs on Internet Computer... 🤯😵‍💫 ICP is so powerful...

geekchains | ICP ∞

26,858 просмотров • 8 месяцев назад

So Internet Computer is faster than Solana...!? According to Chainspect's real-time TPS chart, DFINITY Foundation's Internet Computer recorded an average tx/s of 2,554 over the past week. This is more than double Solana's tx/s of 1,153 in the same period. Is the industry sleeping on $ICP or are these just vanity metrics...?
0:20

So Internet Computer is faster than Solana...!? According to Chainspect's real-time TPS chart, DFINITY Foundation's Internet Computer recorded an average tx/s of 2,554 over the past week. This is more than double Solana's tx/s of 1,153 in the same period. Is the industry sleeping on $ICP or are these just vanity metrics...?

BSCN

21,885 просмотров • 29 дней назад

This "AI Software Engineer" is doing something different to everyone else: Databutton specializes in building full-stack applications using React in the front end and Python in the back end. That's it. I think this gives them a huge advantage: They can fine-tune their models on a very focused tech stack and make them better than anyone else. Instead of having to worry about every programming language and tech stack out there, they specialize and make a much better experience. I think this is smart. In the attached video, I started building a landing page to sell a course. You can see in real time how everything works.
11:08

This "AI Software Engineer" is doing something different to everyone else: Databutton specializes in building full-stack applications using React in the front end and Python in the back end. That's it. I think this gives them a huge advantage: They can fine-tune their models on a very focused tech stack and make them better than anyone else. Instead of having to worry about every programming language and tech stack out there, they specialize and make a much better experience. I think this is smart. In the attached video, I started building a landing page to sell a course. You can see in real time how everything works.

Santiago

49,379 просмотров • 1 год назад