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Validation Cloud runs infrastructure on 80+ chains. When their team set up for Hedera's Threshold Signature Scheme ceremony, it just worked. They say that never happens. Hear from Validation Cloud DOVU Xeptagon on their experience, hosted by Generation Infinity. 👇

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Hedera

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13,452 просмотров • 2 месяцев назад •via X (Twitter)

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🌧️ Former congresswoman Marjorie Taylor Greene says cloud seeding is real and widely used across the United States. “They can absolutely create weather.” “Cloud seeding is real. It’s actually very common practice. It happens all over the United States.” “It’s not just our government, state governments, but also private entities, even ski resorts, pay for cloud seeding because they make more money when there’s plenty of snow on their slopes.” “They’ll hire companies to do cloud seeding so they can hopefully get more snowfall.” “This is very much an industry that has been very invisible and called conspiratorial. But it’s not. It is honestly not.” Marjorie Taylor Greene 🇺🇸 Jillian Michaels
1:27

🌧️ Former congresswoman Marjorie Taylor Greene says cloud seeding is real and widely used across the United States. “They can absolutely create weather.” “Cloud seeding is real. It’s actually very common practice. It happens all over the United States.” “It’s not just our government, state governments, but also private entities, even ski resorts, pay for cloud seeding because they make more money when there’s plenty of snow on their slopes.” “They’ll hire companies to do cloud seeding so they can hopefully get more snowfall.” “This is very much an industry that has been very invisible and called conspiratorial. But it’s not. It is honestly not.” Marjorie Taylor Greene 🇺🇸 Jillian Michaels

Children’s Health Defense

12,283 просмотров • 5 месяцев назад

Utilizing #Hedera's efficient and secure network, Whitney Rollins is transforming real estate investment through #tokenization. With their innovative platform, they are breaking down barriers by turning high-value properties into accessible, flexible digital investments. #RWA
1:29

Utilizing #Hedera's efficient and secure network, Whitney Rollins is transforming real estate investment through #tokenization. With their innovative platform, they are breaking down barriers by turning high-value properties into accessible, flexible digital investments. #RWA

Hedera

50,200 просмотров • 1 год назад

I've had time to reflect on the signature validation announced on Friday, and I share some of my thoughts in this video. Elections Alberta’s signature validation for the Stay Free Alberta petition had a basic flaw. They treated every signature as independent and just randomly sampled 384 people. But signatures weren’t collected evenly. A small number of canvassers gathered the bulk of them (classic power-law pattern). If a few canvassers were sloppy or inconsistent, the problems would be clustered, not randomly scattered. Simple random sampling of individuals is weak at catching that. Industrial quality control (like the Alberta Boilers Safety Association inspecting pipeline welds) accounts for this. They sample by welder/crew and put more scrutiny on high-volume producers. Elections Alberta didn’t. The “verification” standard itself was also questionable. Requiring people to accurately remember when and if they signed months later is unreliable. Human memory isn’t that precise. So was the real goal rigorous quality control, or just hitting a statistical threshold that looks good on paper? Better methods exist. They just weren’t used.
7:44

I've had time to reflect on the signature validation announced on Friday, and I share some of my thoughts in this video. Elections Alberta’s signature validation for the Stay Free Alberta petition had a basic flaw. They treated every signature as independent and just randomly sampled 384 people. But signatures weren’t collected evenly. A small number of canvassers gathered the bulk of them (classic power-law pattern). If a few canvassers were sloppy or inconsistent, the problems would be clustered, not randomly scattered. Simple random sampling of individuals is weak at catching that. Industrial quality control (like the Alberta Boilers Safety Association inspecting pipeline welds) accounts for this. They sample by welder/crew and put more scrutiny on high-volume producers. Elections Alberta didn’t. The “verification” standard itself was also questionable. Requiring people to accurately remember when and if they signed months later is unreliable. Human memory isn’t that precise. So was the real goal rigorous quality control, or just hitting a statistical threshold that looks good on paper? Better methods exist. They just weren’t used.

Martyupnorth®- Unacceptable Fact Checker

18,407 просмотров • 23 дней назад

When that blue-collar man walks into your white-collar family, he’s not just “the new guy.” He’s a valuable commodity they didn’t know they needed. Years on the grind have forged skills their soft hands could never replicate: fixing what breaks at 2 a.m., reading a room by body language instead of spreadsheets, turning raw sweat into results that actually last. They watch him with quiet reverence because his world runs on competence they’ll never fully comprehend—real pressure, real consequences, real pride in calloused hands that deliver. He doesn’t need their validation. He brings a new foundation. Stability. Resourcefulness. The kind of strength that holds everything up when the polished surface cracks. So stand tall, big fella. Know your worth. You’re not there to fit in—you’re there to level them up. The grind made you rare. Own it.
0:55

When that blue-collar man walks into your white-collar family, he’s not just “the new guy.” He’s a valuable commodity they didn’t know they needed. Years on the grind have forged skills their soft hands could never replicate: fixing what breaks at 2 a.m., reading a room by body language instead of spreadsheets, turning raw sweat into results that actually last. They watch him with quiet reverence because his world runs on competence they’ll never fully comprehend—real pressure, real consequences, real pride in calloused hands that deliver. He doesn’t need their validation. He brings a new foundation. Stability. Resourcefulness. The kind of strength that holds everything up when the polished surface cracks. So stand tall, big fella. Know your worth. You’re not there to fit in—you’re there to level them up. The grind made you rare. Own it.

🚫👁️Drinks on Saturday🇺🇸

377,370 просмотров • 3 месяцев назад

They don't want to sound racist (God forbid 😱) so they re-name their Jew hatred. From now on don't say "antisemitism", say "antizionism" and somehow use the fake "Palestinians" (which you don't really give a damn about ) to justify your hatred. Actually, it worked well for them for a while. They fooled many, mostly themselves.😂🤦‍♀️ But they have never fooled us. We know an antisemite when we see one. We've had a lot of experience in that. #FightAntisemitism
1:05

They don't want to sound racist (God forbid 😱) so they re-name their Jew hatred. From now on don't say "antisemitism", say "antizionism" and somehow use the fake "Palestinians" (which you don't really give a damn about ) to justify your hatred. Actually, it worked well for them for a while. They fooled many, mostly themselves.😂🤦‍♀️ But they have never fooled us. We know an antisemite when we see one. We've had a lot of experience in that. #FightAntisemitism

The Voice Of Truth 🙌

13,508 просмотров • 1 год назад

Anthropic just launched Computer-Use-Agents on Claude Desktop, meaning it can now take control of your entire computer environment. This is huge for businesses and enterprise, except it's limited by the fact that it requires a personal computer. If you deploy it into a virtual machine on Orgo, you can now manage hundreds or thousands of your clients' Claude accounts, setting up their skills, capabilities, connectors, etc, all on their own machines in the cloud on Orgo.
1:14

Anthropic just launched Computer-Use-Agents on Claude Desktop, meaning it can now take control of your entire computer environment. This is huge for businesses and enterprise, except it's limited by the fact that it requires a personal computer. If you deploy it into a virtual machine on Orgo, you can now manage hundreds or thousands of your clients' Claude accounts, setting up their skills, capabilities, connectors, etc, all on their own machines in the cloud on Orgo.

Nick Vasilescu

38,333 просмотров • 4 месяцев назад

🐶 Old Shelter Dog, Cloud: ❤️🐾✨ Cloud is a 13-year-old senior that no one wanted. He was found on the side of the road, & by the time he made it to the shelter, he was emotionally shutting down. 😞 ✨Fearful dogs need more than food and shelter, they need someone to calm their nervous system so they can open their hearts. ✨Cloud's journey from trembling to trust reminds us that it's never too late for love and healing! Thank you to foster parents. 🙏🏻💜 Who else believes senior dogs deserve their happily ever after?🥰🙏🏻
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🐶 Old Shelter Dog, Cloud: ❤️🐾✨ Cloud is a 13-year-old senior that no one wanted. He was found on the side of the road, & by the time he made it to the shelter, he was emotionally shutting down. 😞 ✨Fearful dogs need more than food and shelter, they need someone to calm their nervous system so they can open their hearts. ✨Cloud's journey from trembling to trust reminds us that it's never too late for love and healing! Thank you to foster parents. 🙏🏻💜 Who else believes senior dogs deserve their happily ever after?🥰🙏🏻

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Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.
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Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Macro

55,169 просмотров • 2 месяцев назад

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.
1:25

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Stocks

41,351 просмотров • 23 дней 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

291,008 просмотров • 3 месяцев назад

Precision policing strategies can bring down urban crime by over 80% and even most Democrat mayors agree with me on that, but they can’t quite say so publicly for fear of their far left political base. We’ll get it done in Ohio when I’m Governor, regardless.
1:28

Precision policing strategies can bring down urban crime by over 80% and even most Democrat mayors agree with me on that, but they can’t quite say so publicly for fear of their far left political base. We’ll get it done in Ohio when I’m Governor, regardless.

Vivek Ramaswamy

125,582 просмотров • 9 месяцев назад

This is for all the people in the arena ( your life, your career, your family ) who are doing it for them .. not for the validation of the crowd One of the great issues in our society right now is that people live their lives for outside validation, for the clicks, for the likes, for the followers, for the comments. This isn't just in social media. This is happening in the analog and real world too. Too many people are keeping up with the Joneses and worried about what people think about them. They worry about what people think about how much money they have, what school they go to, or even worse, what school their kids go to, and on and on and on … I will continue to make content with the hope it breaks someone out of the hamster wheel and that’s that ❤️❤️❤️❤️
0:37

This is for all the people in the arena ( your life, your career, your family ) who are doing it for them .. not for the validation of the crowd One of the great issues in our society right now is that people live their lives for outside validation, for the clicks, for the likes, for the followers, for the comments. This isn't just in social media. This is happening in the analog and real world too. Too many people are keeping up with the Joneses and worried about what people think about them. They worry about what people think about how much money they have, what school they go to, or even worse, what school their kids go to, and on and on and on … I will continue to make content with the hope it breaks someone out of the hamster wheel and that’s that ❤️❤️❤️❤️

Gary Vaynerchuk

19,794 просмотров • 3 месяцев назад

HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇
0:20

HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇

YanXbt

45,446 просмотров • 1 месяц назад

🚨 MIAMI “LUXURY DINING” IS A STRAIGHT-UP SCAM An American couple shares their experience dining out in Miami - and it sounds unreal. They say they paid $500 just to reserve a spot, then another $150+ for food, only to be seated on a BAR COUCH - no table - eating sliders, chicken nuggets, fries, and tacos that fell apart. Food sliding straight into their laps. After EXACTLY 2 HOURS, staff told them their “experience had expired.” Their options: pay up and leave, or move to another couch where they were capped at ONE drink and dessert. “It was criminal.” $650 for bar food on a couch - would you ever pay this?
1:47

🚨 MIAMI “LUXURY DINING” IS A STRAIGHT-UP SCAM An American couple shares their experience dining out in Miami - and it sounds unreal. They say they paid $500 just to reserve a spot, then another $150+ for food, only to be seated on a BAR COUCH - no table - eating sliders, chicken nuggets, fries, and tacos that fell apart. Food sliding straight into their laps. After EXACTLY 2 HOURS, staff told them their “experience had expired.” Their options: pay up and leave, or move to another couch where they were capped at ONE drink and dessert. “It was criminal.” $650 for bar food on a couch - would you ever pay this?

HustleBitch

327,026 просмотров • 7 месяцев назад

INTERNET COMPUTER'S CLOUD ENGINES REPRESENT AN INFLECTION POINT... Founder of Internet Computer (DFINITY Foundation), Dominic Williams (dom | icp), while celebrating the protocol's five-year journey, provided a detailed preview of “Cloud Engines." Cloud Engines is the sovereign frontier cloud technology that the network will soon provide via opencloud(.)org. He stated that Cloud Engines will enable anyone to spin up their own tamperproof sovereign cloud by selecting and configuring nodes within the mathematically secure Internet Computer network. The founder emphasized that the technology is built specifically for the AI era, enabling AI agents to create and update online applications and services without the need for security teams or sysadmins. Additionally, software hosted on Cloud Engines is immune to infrastructure hacks, guaranteed to run as long as sufficient nodes remain operational, and protected by orthogonal persistence in the Motoko language, which automatically detects and prevents “lossy” AI-generated updates. He added that users will soon be able to develop and deploy apps directly from AI platforms such as Claude or Perplexity, with seamless integration through caffeine, while maintaining full tech sovereignty. Cloud Engines allow owners to choose node operators and locations, mix Big Tech instances (Amazon Web Services, Microsoft Azure, Google), add sovereign AI nodes, and scale capacity instantly without downtime or vendor lock-in. In summary, Cloud Engines is an inflection point in the Internet Computer’s history.
0:30

INTERNET COMPUTER'S CLOUD ENGINES REPRESENT AN INFLECTION POINT... Founder of Internet Computer (DFINITY Foundation), Dominic Williams (dom | icp), while celebrating the protocol's five-year journey, provided a detailed preview of “Cloud Engines." Cloud Engines is the sovereign frontier cloud technology that the network will soon provide via opencloud(.)org. He stated that Cloud Engines will enable anyone to spin up their own tamperproof sovereign cloud by selecting and configuring nodes within the mathematically secure Internet Computer network. The founder emphasized that the technology is built specifically for the AI era, enabling AI agents to create and update online applications and services without the need for security teams or sysadmins. Additionally, software hosted on Cloud Engines is immune to infrastructure hacks, guaranteed to run as long as sufficient nodes remain operational, and protected by orthogonal persistence in the Motoko language, which automatically detects and prevents “lossy” AI-generated updates. He added that users will soon be able to develop and deploy apps directly from AI platforms such as Claude or Perplexity, with seamless integration through caffeine, while maintaining full tech sovereignty. Cloud Engines allow owners to choose node operators and locations, mix Big Tech instances (Amazon Web Services, Microsoft Azure, Google), add sovereign AI nodes, and scale capacity instantly without downtime or vendor lock-in. In summary, Cloud Engines is an inflection point in the Internet Computer’s history.

BSCN

12,154 просмотров • 3 месяцев назад

🚀 Big news! We are very excited to announce our new partnership with PipeOps(PipeOps (Techstars NOLA '23))! 🥳 We have teamed up with PipeOps to take software development training to the next level. All our learners won’t just learn to write code, they’ll now get hands-on experience deploying applications to the cloud and interacting with real-world infrastructure. With exclusive access to PipeOps, learners will gain practical experience in cloud deployment and infrastructure management, making them job-ready from day one. Cloud skills are no longer optional; they’re essential, and this partnership ensures that AltSchoolers graduate with the technical edge to build, deploy, and manage scalable applications, setting them apart in today’s tech industry and giving them an advantage, whether they’re job hunting, freelancing, or launching their own projects. To deepen this experience, our learners would also get to engage in exclusive workshops, and interact firsthand with industry experts and professionals, ensuring they are fully prepared for the future Stay tuned for more information and exciting news from this partnership.
2:12

🚀 Big news! We are very excited to announce our new partnership with PipeOps(PipeOps (Techstars NOLA '23))! 🥳 We have teamed up with PipeOps to take software development training to the next level. All our learners won’t just learn to write code, they’ll now get hands-on experience deploying applications to the cloud and interacting with real-world infrastructure. With exclusive access to PipeOps, learners will gain practical experience in cloud deployment and infrastructure management, making them job-ready from day one. Cloud skills are no longer optional; they’re essential, and this partnership ensures that AltSchoolers graduate with the technical edge to build, deploy, and manage scalable applications, setting them apart in today’s tech industry and giving them an advantage, whether they’re job hunting, freelancing, or launching their own projects. To deepen this experience, our learners would also get to engage in exclusive workshops, and interact firsthand with industry experts and professionals, ensuring they are fully prepared for the future Stay tuned for more information and exciting news from this partnership.

AltSchool Africa

22,014 просмотров • 1 год назад

Monica Vanesa Tedja, the director of 'Night Shift For Cuties' said that XG and Newjeans were her inspirations for the series. "For me personally, I really lit up when I saw XG and Newjeans. With XG, I’m really inspired by their personalities and the way they embrace themselves. Then when it comes to Newjeans, it’s their music that inspires me. Honestly, I wasn’t really feeling that spark at first but when I heard NewJeans music, I was like, “What is this?” My eyes just lit up instantly. It felt so fresh. That ended up inspiring the way we collaborated and worked on the music behind Purple Tea." 🔗
0:46

Monica Vanesa Tedja, the director of 'Night Shift For Cuties' said that XG and Newjeans were her inspirations for the series. "For me personally, I really lit up when I saw XG and Newjeans. With XG, I’m really inspired by their personalities and the way they embrace themselves. Then when it comes to Newjeans, it’s their music that inspires me. Honestly, I wasn’t really feeling that spark at first but when I heard NewJeans music, I was like, “What is this?” My eyes just lit up instantly. It felt so fresh. That ended up inspiring the way we collaborated and worked on the music behind Purple Tea." 🔗

shine

25,068 просмотров • 2 месяцев назад