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How does DOGE mining actually work inside Qubic? Four components working together: 1. Miners connect through the Stratum protocol to a Pool Server 2. The Pool Server communicates with a Dispatcher, a custom bridge between the Qubic and Dogecoin networks 3. The Dispatcher routes tasks from an external Doge...

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Qubic

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35,509 Aufrufe • vor 4 Monaten •via X (Twitter)

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6 days. The numbers don’t lie. Behind the scenes: the first Doge share has already passed through the full pipeline. Doge pool → dispatcher → miner and back. Validated end-to-end on the Qubic network. Core tech lead Joetom and the engineering team have the architecture locked. The dispatcher is running. Computor documentation is finalizing. Tick speed is at 0.6 seconds. This is not a whitepaper promise. The test results are already in.
0:22

6 days. The numbers don’t lie. Behind the scenes: the first Doge share has already passed through the full pipeline. Doge pool → dispatcher → miner and back. Validated end-to-end on the Qubic network. Core tech lead Joetom and the engineering team have the architecture locked. The dispatcher is running. Computor documentation is finalizing. Tick speed is at 0.6 seconds. This is not a whitepaper promise. The test results are already in.

Qubic

44,667 Aufrufe • vor 3 Monaten

——— and earn passive income ——— $CODED now has a decentralized liquidity pool on the QSWAP AMM on $QUBIC, allowing anyone to earn passive income from swap fees by providing liquidity. > 0,3% total trading fees on QSWAP >> 60% (0,18%) of them goes to LPs Each LP receives a share of that 0.18% proportionally to their share of the total liquidity in the pool >> Here is how to add liquidity >> // 1. Make sure you have $QUBIC and $CODED tokens in your mobile wallet // 2. Connect your wallet to using the wallet connect // 3. >> Use the “Switch Asset SC” transfer function to transfer $CODED, if not already, from the QX Smart Contract to the QSWAP Smart Contract // 4. >> Move to “add liquidity”, choose the $CODED pool, Insert the amount of liquidity you want to add Make sure you match the current pool ratio to avoid slippage. (In this example ~ 1:20) >>Desired $CODED Amount: 20M >>Desired $QUBIC Amount: 1M >>Minimum $CODED Amount: 19M >>Minimum $QUBIC Amount: 1M Choose a slightly lower “minimum $CODED Amount” till you get a correct liquidity simulation, press “add liquidity”, and sign it in your wallet. // 5. >> Move to pools and check the amount of your “own liquidity”. Based on this you can calculate your percentage share of the pool. You always can remove the liquidity from the pool and get $QUBIC and $CODED tokens back in your wallet. As more people add liquidity as more the price stabilizes. 0.01 - $CODED
1:54

——— and earn passive income ——— $CODED now has a decentralized liquidity pool on the QSWAP AMM on $QUBIC, allowing anyone to earn passive income from swap fees by providing liquidity. > 0,3% total trading fees on QSWAP >> 60% (0,18%) of them goes to LPs Each LP receives a share of that 0.18% proportionally to their share of the total liquidity in the pool >> Here is how to add liquidity >> // 1. Make sure you have $QUBIC and $CODED tokens in your mobile wallet // 2. Connect your wallet to using the wallet connect // 3. >> Use the “Switch Asset SC” transfer function to transfer $CODED, if not already, from the QX Smart Contract to the QSWAP Smart Contract // 4. >> Move to “add liquidity”, choose the $CODED pool, Insert the amount of liquidity you want to add Make sure you match the current pool ratio to avoid slippage. (In this example ~ 1:20) >>Desired $CODED Amount: 20M >>Desired $QUBIC Amount: 1M >>Minimum $CODED Amount: 19M >>Minimum $QUBIC Amount: 1M Choose a slightly lower “minimum $CODED Amount” till you get a correct liquidity simulation, press “add liquidity”, and sign it in your wallet. // 5. >> Move to pools and check the amount of your “own liquidity”. Based on this you can calculate your percentage share of the pool. You always can remove the liquidity from the pool and get $QUBIC and $CODED tokens back in your wallet. As more people add liquidity as more the price stabilizes. 0.01 - $CODED

CODED

13,545 Aufrufe • vor 9 Monaten

In less than 24 hours, DOGE mining goes live on Qubic. But it doesn't happen all at once. There's a 3-phase rollout designed to protect the network at every step: Phase 1: Test mode. XMR revenue unchanged. DOGE runs in the background proving the pipeline. Phase 2: Computors choose: XMR or DOGE. Incentives shift. Migration begins. Phase 3: XMR off. ASICs mine DOGE 24/7. CPUs/GPUs train AI 24/7. Full capacity. Zero compromise. This is a future-proof engineering plan. Watch the Video to Understand the Full Transition Plan:
1:32

In less than 24 hours, DOGE mining goes live on Qubic. But it doesn't happen all at once. There's a 3-phase rollout designed to protect the network at every step: Phase 1: Test mode. XMR revenue unchanged. DOGE runs in the background proving the pipeline. Phase 2: Computors choose: XMR or DOGE. Incentives shift. Migration begins. Phase 3: XMR off. ASICs mine DOGE 24/7. CPUs/GPUs train AI 24/7. Full capacity. Zero compromise. This is a future-proof engineering plan. Watch the Video to Understand the Full Transition Plan:

Qubic

65,097 Aufrufe • vor 3 Monaten

In this post I will explain why people become borderline religious when they discover Qubic. Now with video. Please repost. I want people to learn about QUBIC. The ecosystem consists of 3 separate universes: AI, Mining, and Tickchain. AI is the primary product and purpose of QUBIC and it is supported by Mining to train the AI and by Tickchin for validation and decentralization. Here is how this whole thing works: AI: Let’s start with the AI. The main purpose of QUBIC is creating AGI (Artificial General Intelligence). It’s a type of AI that can self-develop, set tasks, grow, and learn on its own—much like the human brain does. This product is called AIGarth and it uses many cool ideas where AIs can create their own agents and have them compete against one another to evolve. It is basically robots creating robots with the survival-of-the-fittest evolution approach. Very impressive and thought out. To develop such an AI there are several requirements that even the industry giants like OpenAI, Microsoft, and Tesla are missing. One of them is the data processing for AI training. I mean they have their Datacenters, but those are only good enough to train limited Large Language Models such as ChatGPT and Grok. Mining / Training: Now QUBIC solves this problem with its mining architecture. Keep in mind, mining in QUBIC does not secure the chain, primarily it provides the processing power for training the AI. In a sense, QUBIC mining creates the largest distributed datacenter in the world, where individual miners provide their computers for training the AI and get paid with newly issued QUBIC coins. This way QUBIC gets constantly increasing processing power without having to really pay for the infrastructure. And here is another impressive bit of info. QUBIC’s distributed mining network currently ranks above the #1 supercomputer in the world - El Capitan. QUBIC Tickchain The QUBIC chain ties its AI and Mining together to create decentralization, the reward system for miners, it acts as a decision voting system for future development, and it allows AIGarth to function independently through Smart Contracts. In this summary I will not go over the specifics of QUBIC Tickchain. It’s pretty complex so it will be a separate post. Now, it’s an absolute genius piece of tech, which I consider the most advanced product within crypto industry. It is important to know that QUBIC chain runs directly out of Random Access Memory of its validators. It has instant finality and acts as its own operating system. That allows for speeds only bound by current hardware capabilities and it only increases as technology progresses. As I am writing this, QUBIC Tickchain is fully functional and it already hosts several smart-contract based web3 applications. QUBIC has designed its chain to be this fast for a single purpose, to give its future AI the speed it needs to evolve and to react quickly to the outside world. Ilya Shutskever the scientist, who developed ChatGPT clearly states that next generation superintelligence will make decisions in split second with less data. I believe QUBIC is that next generation. Why QUBIC? So out of the sea of AI projects in crypto why is QUBIC my #1 pick? Well, the first reason is that QUBIC is a unicorn AI startup that happens to use blockchain tech to reach it’s goals. In the real world of Venture Capital it would be fully funded instantly and you would not be invited. Second reason is that the industry admits that Large Language Models have plateaued. Even with enough processing power there is only so much information they can add to their data. Even Google CEO admits that. New approach is needed because the future progress is not possible with LLMs. The third reason is because Large Language Models will not create true AGI. It is evident by Ilya Shutskver latest presentation. Sam Altman of OpenAI is trying to change the definition of what is considered AGI just to lower the plank for his own product. Microsoft’s AI chief is now claiming that it would take 10 years to reach AGI, while QUBIC aims to do this in 2027. All these big players are using wrong technology for what they are trying to achieve and there isn’t enough investor funding for them to pivot. The fourth reason is that QUBIC is headed by Sergey Ivancheglo and 2 renowned AI scientists. Many claim Segey is the creator of Bitcoin. He was the 3rd person to mine bitcoin, he invented Proof of Stake consensus, which Ethereum uses now, he ran the first ICO, and he created 2 of the top gainers in crypto NXT and IOTA. QUBIC is his grand finale after 12 years of development and trials. I am including links below the post as the proof of my claims. Thank you for your time. Please live a like or a comment. It helps me continue making these extensive posts and videos.
5:57

In this post I will explain why people become borderline religious when they discover Qubic. Now with video. Please repost. I want people to learn about QUBIC. The ecosystem consists of 3 separate universes: AI, Mining, and Tickchain. AI is the primary product and purpose of QUBIC and it is supported by Mining to train the AI and by Tickchin for validation and decentralization. Here is how this whole thing works: AI: Let’s start with the AI. The main purpose of QUBIC is creating AGI (Artificial General Intelligence). It’s a type of AI that can self-develop, set tasks, grow, and learn on its own—much like the human brain does. This product is called AIGarth and it uses many cool ideas where AIs can create their own agents and have them compete against one another to evolve. It is basically robots creating robots with the survival-of-the-fittest evolution approach. Very impressive and thought out. To develop such an AI there are several requirements that even the industry giants like OpenAI, Microsoft, and Tesla are missing. One of them is the data processing for AI training. I mean they have their Datacenters, but those are only good enough to train limited Large Language Models such as ChatGPT and Grok. Mining / Training: Now QUBIC solves this problem with its mining architecture. Keep in mind, mining in QUBIC does not secure the chain, primarily it provides the processing power for training the AI. In a sense, QUBIC mining creates the largest distributed datacenter in the world, where individual miners provide their computers for training the AI and get paid with newly issued QUBIC coins. This way QUBIC gets constantly increasing processing power without having to really pay for the infrastructure. And here is another impressive bit of info. QUBIC’s distributed mining network currently ranks above the #1 supercomputer in the world - El Capitan. QUBIC Tickchain The QUBIC chain ties its AI and Mining together to create decentralization, the reward system for miners, it acts as a decision voting system for future development, and it allows AIGarth to function independently through Smart Contracts. In this summary I will not go over the specifics of QUBIC Tickchain. It’s pretty complex so it will be a separate post. Now, it’s an absolute genius piece of tech, which I consider the most advanced product within crypto industry. It is important to know that QUBIC chain runs directly out of Random Access Memory of its validators. It has instant finality and acts as its own operating system. That allows for speeds only bound by current hardware capabilities and it only increases as technology progresses. As I am writing this, QUBIC Tickchain is fully functional and it already hosts several smart-contract based web3 applications. QUBIC has designed its chain to be this fast for a single purpose, to give its future AI the speed it needs to evolve and to react quickly to the outside world. Ilya Shutskever the scientist, who developed ChatGPT clearly states that next generation superintelligence will make decisions in split second with less data. I believe QUBIC is that next generation. Why QUBIC? So out of the sea of AI projects in crypto why is QUBIC my #1 pick? Well, the first reason is that QUBIC is a unicorn AI startup that happens to use blockchain tech to reach it’s goals. In the real world of Venture Capital it would be fully funded instantly and you would not be invited. Second reason is that the industry admits that Large Language Models have plateaued. Even with enough processing power there is only so much information they can add to their data. Even Google CEO admits that. New approach is needed because the future progress is not possible with LLMs. The third reason is because Large Language Models will not create true AGI. It is evident by Ilya Shutskver latest presentation. Sam Altman of OpenAI is trying to change the definition of what is considered AGI just to lower the plank for his own product. Microsoft’s AI chief is now claiming that it would take 10 years to reach AGI, while QUBIC aims to do this in 2027. All these big players are using wrong technology for what they are trying to achieve and there isn’t enough investor funding for them to pivot. The fourth reason is that QUBIC is headed by Sergey Ivancheglo and 2 renowned AI scientists. Many claim Segey is the creator of Bitcoin. He was the 3rd person to mine bitcoin, he invented Proof of Stake consensus, which Ethereum uses now, he ran the first ICO, and he created 2 of the top gainers in crypto NXT and IOTA. QUBIC is his grand finale after 12 years of development and trials. I am including links below the post as the proof of my claims. Thank you for your time. Please live a like or a comment. It helps me continue making these extensive posts and videos.

retrodrive ⛏

24,639 Aufrufe • vor 1 Jahr

Who is Sergey Ivancheglo? Come-from-Beyond (CFB). A self-taught innovator from Minsk, Belarus, with a Bachelor of Science in electronics and artificial intelligence. His early passion for computer game development evolved into expertise in distributed systems, virtual/augmented reality, and blockchain technology. $Qubic #Qubic Qubic ױ Q u b i c ױ Known for a bold, sometimes polarizing style—self-described as having a narcissistic streak, which he claims fuels his visionary drive. Key Contributions NXT (2013) Launched one of the first proof-of-stake (PoS) blockchains, moving away from Bitcoin’s energy-hungry proof-of-work (PoW). Introduced features like an asset exchange, laying groundwork for modern DeFi. IOTA (2015) Co-founded IOTA, a feeless, scalable platform for the Internet of Things (IoT) using the Tangle, a directed acyclic graph (DAG) instead of a traditional blockchain. Left in 2019 after disputes with co-founder David Sønstebø over token allocations and project direction. Qubic (Conceptualized 2012, Launched 2022) Founder of Qubic, an open-source, community-driven project integrating blockchain with AI and decentralized computing. - First pitched on BitcoinTalk in 2012 as Quorum-Based Coin, but hardware limitations delayed its realization until the mainnet launch in April 2022. What is Qubic? A quorum-based computation (QBC) platform with 676 "Computors" (validators) executing smart contracts and securing the network. A quorum of 451+ Computors (⅔+) must agree for consensus, ensuring reliability. Useful Proof-of-Work (UPoW) Unlike traditional PoW, Qubic’s mining power trains AI models (via the Aigarth project) rather than solving meaningless puzzles, aiming for energy efficiency and practical utility. Feeless transactions with sub-second finality (currently ~7 seconds, targeting faster ticks in 2024/2025). Smart contracts that require quorum approval and launch via an IPO-like system for passive income. Oracle machines for secure external data integration. Runs on bare-metal servers (no OS), enhancing speed and security. Aigarth An AI sub-project leveraging Qubic’s compute resources to advance neural network training and decentralized AI development. The Vision is to create a scalable, eco-friendly ecosystem merging blockchain and artificial general intelligence (AGI), positioning Qubic as a leader in Web 3.0 and AI-driven decentralized systems. Summary Sergey Ivancheglo (CFB) is a crypto trailblazer whose work on Qubic blends blockchain and AI in a way that’s distinct from peers like Ethereum. `Come-from-Beyond` His history of delivering groundbreaking tech (NXT, IOTA) backs Qubic’s promise, Are you ready for what’s next? Qubic #Crypto #altcoin #ArtificialIntelligence
0:40

Who is Sergey Ivancheglo? Come-from-Beyond (CFB). A self-taught innovator from Minsk, Belarus, with a Bachelor of Science in electronics and artificial intelligence. His early passion for computer game development evolved into expertise in distributed systems, virtual/augmented reality, and blockchain technology. $Qubic #Qubic Qubic ױ Q u b i c ױ Known for a bold, sometimes polarizing style—self-described as having a narcissistic streak, which he claims fuels his visionary drive. Key Contributions NXT (2013) Launched one of the first proof-of-stake (PoS) blockchains, moving away from Bitcoin’s energy-hungry proof-of-work (PoW). Introduced features like an asset exchange, laying groundwork for modern DeFi. IOTA (2015) Co-founded IOTA, a feeless, scalable platform for the Internet of Things (IoT) using the Tangle, a directed acyclic graph (DAG) instead of a traditional blockchain. Left in 2019 after disputes with co-founder David Sønstebø over token allocations and project direction. Qubic (Conceptualized 2012, Launched 2022) Founder of Qubic, an open-source, community-driven project integrating blockchain with AI and decentralized computing. - First pitched on BitcoinTalk in 2012 as Quorum-Based Coin, but hardware limitations delayed its realization until the mainnet launch in April 2022. What is Qubic? A quorum-based computation (QBC) platform with 676 "Computors" (validators) executing smart contracts and securing the network. A quorum of 451+ Computors (⅔+) must agree for consensus, ensuring reliability. Useful Proof-of-Work (UPoW) Unlike traditional PoW, Qubic’s mining power trains AI models (via the Aigarth project) rather than solving meaningless puzzles, aiming for energy efficiency and practical utility. Feeless transactions with sub-second finality (currently ~7 seconds, targeting faster ticks in 2024/2025). Smart contracts that require quorum approval and launch via an IPO-like system for passive income. Oracle machines for secure external data integration. Runs on bare-metal servers (no OS), enhancing speed and security. Aigarth An AI sub-project leveraging Qubic’s compute resources to advance neural network training and decentralized AI development. The Vision is to create a scalable, eco-friendly ecosystem merging blockchain and artificial general intelligence (AGI), positioning Qubic as a leader in Web 3.0 and AI-driven decentralized systems. Summary Sergey Ivancheglo (CFB) is a crypto trailblazer whose work on Qubic blends blockchain and AI in a way that’s distinct from peers like Ethereum. `Come-from-Beyond` His history of delivering groundbreaking tech (NXT, IOTA) backs Qubic’s promise, Are you ready for what’s next? Qubic #Crypto #altcoin #ArtificialIntelligence

ױ kirby ױ

21,257 Aufrufe • vor 1 Jahr

In 2024, we discovered a tremendously innovative network, which quickly attracted us due to its technology, completely different from anything we had seen before (and believe me, the Kairos Tek team has seen many in over a decade in Blockchain!): Qubic (created by Come-from-Beyond, after NXT and IOTA, at least...). Moreover the Qubic vision was also really atractive for us. To evolve the traditional mining mechanism (PoW: Proof of Work) so that the computational effort had an end by itself: train the first decentralized Artificial General Intelligence. They call it uPoW (Useful Proof of Work). In March 2025 we had the opportunity to participate in the first hackathon organized by Qubic in the world, held at 42 Madrid. In a long weekend we learned in detail how this network worked, spoke in person with some of the developers who created it, with the minds behind Qubic's vision, and with all the people who were part of the Ecosystem team working to promote the development of projects on the network: J0ET0M Daniel Díez Alber @AxelArdevines Talentnodes @lattiodev David Vivancos - e/acc Jose Sánchez and many others. And not only did we win second prize, but we also confirmed that Kairos wanted to be part of this ecosystem, developing Easy Connect thanks to the Qubic's incubation program. This solution, which we are currently developing, will be commercially launched soon. But beyond that, during the hackathon we discovered something extraordinarily important for the success of any network: an extraordinary community, in English and Spanish, that has welcomed us with open arms from the very beginning. Thanks Milly Drac_Crypto 🐉 וי Jorge 𐤊 ױ elclip ױ La QUbinetaױ Jgvks ATLAM ױ Brice Noyal 🇦🇪🇫🇷 retrodrive ⛏ Qubic Hispanohablante $QUBIC Español... That's why, when we knew that was organizing the largest AI hackathon in Europe at RAISE Summit, held in Paris these past few days, and that there was a Qubic track, we had no doubt that Kairos had to participate. These have been four intense days, during which we have been able to further deepen our knowledge of Qubic by developing Qbuild, a solution to automatically audit any smart contract in Qubic, deploy it in a test environment and generate a complete battery of tests that allow these vulnerabilities to be exploited, thus facilitating secure development for developers with a simple click. Our efforts have resulted in receiving the first prize in this hackathon, and the opportunity to make Qbuild a reality thanks to Qubic's incubation program. Kairos' commitment to be part of the Qubic ecosystem continues to grow as we expand our experience. We will continue working, as part of this fantastic community, to promote what will undoubtedly be one of the most relevant blockchain networks in the future (Come-from-Beyond knows it). Thank you all of you who have supported us, to the mentors and developers who have been there throughout the hackathon, to the Qubic Ecosystem team, and above all, to the entire Qubic community for your support. Sois fantásticos. For anyone interested in learning more about the solutions we're developing at Kairos Tek, you can find more information at Here it is Qbuild, winner of #QubicRaiseHack at RAISE Summit lablab.ai AI hackaton. Just wait and see...
4:34

In 2024, we discovered a tremendously innovative network, which quickly attracted us due to its technology, completely different from anything we had seen before (and believe me, the Kairos Tek team has seen many in over a decade in Blockchain!): Qubic (created by Come-from-Beyond, after NXT and IOTA, at least...). Moreover the Qubic vision was also really atractive for us. To evolve the traditional mining mechanism (PoW: Proof of Work) so that the computational effort had an end by itself: train the first decentralized Artificial General Intelligence. They call it uPoW (Useful Proof of Work). In March 2025 we had the opportunity to participate in the first hackathon organized by Qubic in the world, held at 42 Madrid. In a long weekend we learned in detail how this network worked, spoke in person with some of the developers who created it, with the minds behind Qubic's vision, and with all the people who were part of the Ecosystem team working to promote the development of projects on the network: J0ET0M Daniel Díez Alber @AxelArdevines Talentnodes @lattiodev David Vivancos - e/acc Jose Sánchez and many others. And not only did we win second prize, but we also confirmed that Kairos wanted to be part of this ecosystem, developing Easy Connect thanks to the Qubic's incubation program. This solution, which we are currently developing, will be commercially launched soon. But beyond that, during the hackathon we discovered something extraordinarily important for the success of any network: an extraordinary community, in English and Spanish, that has welcomed us with open arms from the very beginning. Thanks Milly Drac_Crypto 🐉 וי Jorge 𐤊 ױ elclip ױ La QUbinetaױ Jgvks ATLAM ױ Brice Noyal 🇦🇪🇫🇷 retrodrive ⛏ Qubic Hispanohablante $QUBIC Español... That's why, when we knew that was organizing the largest AI hackathon in Europe at RAISE Summit, held in Paris these past few days, and that there was a Qubic track, we had no doubt that Kairos had to participate. These have been four intense days, during which we have been able to further deepen our knowledge of Qubic by developing Qbuild, a solution to automatically audit any smart contract in Qubic, deploy it in a test environment and generate a complete battery of tests that allow these vulnerabilities to be exploited, thus facilitating secure development for developers with a simple click. Our efforts have resulted in receiving the first prize in this hackathon, and the opportunity to make Qbuild a reality thanks to Qubic's incubation program. Kairos' commitment to be part of the Qubic ecosystem continues to grow as we expand our experience. We will continue working, as part of this fantastic community, to promote what will undoubtedly be one of the most relevant blockchain networks in the future (Come-from-Beyond knows it). Thank you all of you who have supported us, to the mentors and developers who have been there throughout the hackathon, to the Qubic Ecosystem team, and above all, to the entire Qubic community for your support. Sois fantásticos. For anyone interested in learning more about the solutions we're developing at Kairos Tek, you can find more information at Here it is Qbuild, winner of #QubicRaiseHack at RAISE Summit lablab.ai AI hackaton. Just wait and see...

Jorge Ordovás

20,684 Aufrufe • vor 1 Jahr

Most people who hate $QUBIC have never actually read what it is. They saw “IOTA” and stopped reading. Here is what is actually happening with this project before you form an opinion: $QUBIC started as a concept inside the IOTA ecosystem back in 2018. The original vision was called Quorum Based Computations. The idea was to build smart contracts, oracles, and decentralised computing on top of IOTA’s feeless ledger. It was years ahead of the market in ambition. IOTA never fully built it, so the founder built it himself. Sergey Ivancheglo (Come From Beyond) is the man behind $QUBIC today. He co-created IOTA and created NXT before that, one of the first Proof of Stake blockchains in crypto history. He left IOTA in 2019 after public disagreements with the foundation and took the Qubic vision independent. That history is real. The drama was real. It is also irrelevant to what $QUBIC does technically today. Here is the honest picture of what the project actually is: - $QUBIC runs on Useful Proof of Work. Miners do not waste energy on meaningless calculations. The computation trains AI models instead. Every hash has a function. That is a genuinely novel concept. - The network claims over 15 million transactions per second in verified tests. It has no gas fees. Finality is near instant. The architecture is bare metal, meaning no virtual machine overhead, which is how those numbers are possible. - The token has a fixed supply and a burn mechanism. There was no premine and no VC allocation. The launch was as fair as crypto gets. The legitimate concerns are also real: - The governance is concentrated. 676 Computers control consensus. There is an Arbitrator role with significant power. For a project that claims decentralisation, that structure deserves scrutiny. - The AI component called Aigarth is still unproven at scale. The TPS claims have not been tested under real world load conditions comparable to what Visa or Solana handles daily. - And the founder’s track record includes public breakdowns and legal threats during the IOTA years. That history does not disappear because the project is new. So here is the honest conclusion: $QUBIC is not a scam. It is also not a sure thing. It is a technically ambitious Layer 1 with a controversial founder, real innovation in Useful Proof of Work and AI integration, legitimate governance concerns, and a community that is growing without traditional VC backing. The people calling it a guaranteed 100x are not doing you any favours. Neither are the people calling it an obvious rug without checking the on chain data. Understand what you hold before price moves you emotionally in either direction. This is for educational purposes only, never financial advice. You will want to find this post later.
5:06

Most people who hate $QUBIC have never actually read what it is. They saw “IOTA” and stopped reading. Here is what is actually happening with this project before you form an opinion: $QUBIC started as a concept inside the IOTA ecosystem back in 2018. The original vision was called Quorum Based Computations. The idea was to build smart contracts, oracles, and decentralised computing on top of IOTA’s feeless ledger. It was years ahead of the market in ambition. IOTA never fully built it, so the founder built it himself. Sergey Ivancheglo (Come From Beyond) is the man behind $QUBIC today. He co-created IOTA and created NXT before that, one of the first Proof of Stake blockchains in crypto history. He left IOTA in 2019 after public disagreements with the foundation and took the Qubic vision independent. That history is real. The drama was real. It is also irrelevant to what $QUBIC does technically today. Here is the honest picture of what the project actually is: - $QUBIC runs on Useful Proof of Work. Miners do not waste energy on meaningless calculations. The computation trains AI models instead. Every hash has a function. That is a genuinely novel concept. - The network claims over 15 million transactions per second in verified tests. It has no gas fees. Finality is near instant. The architecture is bare metal, meaning no virtual machine overhead, which is how those numbers are possible. - The token has a fixed supply and a burn mechanism. There was no premine and no VC allocation. The launch was as fair as crypto gets. The legitimate concerns are also real: - The governance is concentrated. 676 Computers control consensus. There is an Arbitrator role with significant power. For a project that claims decentralisation, that structure deserves scrutiny. - The AI component called Aigarth is still unproven at scale. The TPS claims have not been tested under real world load conditions comparable to what Visa or Solana handles daily. - And the founder’s track record includes public breakdowns and legal threats during the IOTA years. That history does not disappear because the project is new. So here is the honest conclusion: $QUBIC is not a scam. It is also not a sure thing. It is a technically ambitious Layer 1 with a controversial founder, real innovation in Useful Proof of Work and AI integration, legitimate governance concerns, and a community that is growing without traditional VC backing. The people calling it a guaranteed 100x are not doing you any favours. Neither are the people calling it an obvious rug without checking the on chain data. Understand what you hold before price moves you emotionally in either direction. This is for educational purposes only, never financial advice. You will want to find this post later.

2xnmore

15,604 Aufrufe • vor 2 Monaten

Guardian Tensor Links – Sneak Peek 1 We are thrilled to kick off our Guardian Tensor Links series with the first of many exciting updates. This series will showcase how Guardian devices seamlessly connect, exchange TAO tokens, and share AI models across the Bittensor network. In this update, we have successfully activated two Guardian devices as Bittensor nodes and conducted a TAO token transfer from the first to the second device. The transaction was completed successfully, and we verified it on Taostats, ensuring smooth functionality across the Bittensor network. In our next update, we’ll take things even further, demonstrating how multiple Guardian devices can work together, forming a decentralized network to collaborate and share models. This will highlight the true potential of decentralized AI learning and connectivity within the Bittensor ecosystem. Stay tuned for more exciting updates as we continue exploring the power of Guardian devices within the Bittensor network!
3:38

Guardian Tensor Links – Sneak Peek 1 We are thrilled to kick off our Guardian Tensor Links series with the first of many exciting updates. This series will showcase how Guardian devices seamlessly connect, exchange TAO tokens, and share AI models across the Bittensor network. In this update, we have successfully activated two Guardian devices as Bittensor nodes and conducted a TAO token transfer from the first to the second device. The transaction was completed successfully, and we verified it on Taostats, ensuring smooth functionality across the Bittensor network. In our next update, we’ll take things even further, demonstrating how multiple Guardian devices can work together, forming a decentralized network to collaborate and share models. This will highlight the true potential of decentralized AI learning and connectivity within the Bittensor ecosystem. Stay tuned for more exciting updates as we continue exploring the power of Guardian devices within the Bittensor network!

ZKCrypt AI

16,503 Aufrufe • vor 1 Jahr

How to get your ref link for Axie Infinity: Atia's Legacy 1. connect your wallet. 2. copy your code and share it with your friends and family! 3. input your email for extra points! There's 3 ways to earn by spreading Atia's Legacy: 1. refer and earn points/tickets to climb the leaderboard (top 200 share in 25 K if milestones are hit) 2. each ticket gets you in a raffle for earning in a separate collectible pool 3. making content also earns you rewards from a prize pool
0:29

How to get your ref link for Axie Infinity: Atia's Legacy 1. connect your wallet. 2. copy your code and share it with your friends and family! 3. input your email for extra points! There's 3 ways to earn by spreading Atia's Legacy: 1. refer and earn points/tickets to climb the leaderboard (top 200 share in 25 K if milestones are hit) 2. each ticket gets you in a raffle for earning in a separate collectible pool 3. making content also earns you rewards from a prize pool

Jihoz.ron

17,985 Aufrufe • vor 1 Jahr

This Chinese guy created agents in Claude Code for MCP servers and single-handedly serves 6 marketing agencies a month from one iPhone, earning $5,000 from each. Inside he runs a pipeline of 7 agents on Claude Sonnet 4.6 that every Monday pulls a scan of the tech stack from a selected agency, develops an MCP server for its ad accounts, and over the course of a week brings it to production code ready to connect to Claude Desktop. No DevOps, no senior developer, no project manager. Just a Mac Mini in a work corner, an iPhone in the pocket, and a single API key. And traditional dev shops keep 5 people on project rates for the same contract, while his entire P&L is tokens, dirt-cheap hosting on Cloudflare, and Calendly. 7 agents run under a shared orchestrator-router and burn about 5 million tokens a day, which in the API bill comes out to $540 a month. The Mac Mini itself sits at home and keeps the entire orchestrator running 24/7, and from the iPhone the owner connects to it through a secure remote terminal and sees the output of any session right on the smartphone screen, wherever he happens to be. His starting system prompt looks like this: "you run a solo shop for custom MCP servers for marketing agencies. you hand out read-only tasks to 6 sub-agents and own all commits and shipping yourself. sub-agents: // Hunter (finds marketing agencies of 15 to 60 people that have no MCP access to Google Ads, Meta Ads, TikTok Ads, and HubSpot) // Mapper (pulls their tech stack, identifies 3 to 5 integration pains, and simultaneously writes the technical spec for the server: which tools, resources, and prompts to export through MCP, which auth flow and rate limit) // Coder (generates an MCP server in Python through the MCP SDK, deploys 8 to 15 tools for ad accounts and CRM) // Validator (connects the server to Claude Desktop, runs real client API keys in a sandbox, and checks for compliance with the MCP spec) // Shipper (writes a README, integration guide, deployment manual, packages the server, and hosts it on Cloudflare Workers or pushes to the GitHub of the client) // Mobile (always online on the iPhone, books demo calls in Calendly, picks up hot fixes, and confirms contracts through a secure remote terminal to the Mac Mini). only 1 owner agent works on 1 contract, no overlaps. you pull the owner out of observation mode only when a deal goes above $7,500 or the test coverage of the server drops below 85%." This prompt gives the system an understanding of its role and the limits of intervention from the very first line. It knows it is supposed to find agencies on its own. It knows it is supposed to bring every MCP server to production on its own. It knows it connects the live owner only on large deals or when the tests do not converge. → The pipeline runs without breaks, day or night → Hunter goes through about 130 marketing agencies on LinkedIn and Clutch per day → Mapper rolls out 4 audit reports with the tech stack and a final spec for each → Coder writes 1 to 2 MCP servers per week in Python with 8 to 15 tools → Validator validates every server through Claude Desktop with real client API keys → Shipper rolls out the full documentation package and pushes the finished product to Cloudflare Workers or the GitHub of the client And only when a contract breaks $7,500 or test coverage drops below 85% does the orchestrator pull the owner from whatever he is doing. And when the owner at that moment is behind the wheel or at a meeting in a coworking space, the Mobile agent in his iPhone picks up 1 contract in progress: confirms a meeting with the agency CMO in Calendly, opens a live demo of the MCP server through a secure terminal to the Mac Mini, and writes the test result to the shared state. The owner just swipes "approve" and in 15 minutes joins the Zoom demo. The fresh system log from last Wednesday looks like this: "hunter report: 132 agencies checked on LinkedIn and Clutch, 19 without MCP integrations, 8 with active requests for AI tooling in job posts, 4 with an open Q4 budget. passing to mapper." "coder: MCP server for Northwave Performance Marketing built in Python, 11 tools for Google Ads, Meta Ads, and GA4, 320 lines of code. exported to /Users/dev/mcp-shop/clients/northwave/server.py. validator connecting to Claude Desktop." "validator: 11 tools passed validation through Claude Desktop, test coverage 92%, average latency 380 ms. passing to shipper." "eval flag: contract with Pacific Reach Agency at $8,200 exceeds the approved limit of $7,500. sending for manual review." In his work setup there is no cloud server, no external team, and not even a separate office. At home sits a Mac Mini with a sandbox at /Users/dev/mcp-shop, on top runs an MCP router with a single API key to Claude, and the same key is forwarded to a secure terminal on the iPhone. Out of everything I have seen this year, this is the cleanest solo shop for custom MCP servers for marketing agencies: $540 a month on the API, about $30,000 into the account, and between them 7 system prompts, 1 Mac Mini in a work corner, and 1 iPhone that never leaves the pocket.
0:33

This Chinese guy created agents in Claude Code for MCP servers and single-handedly serves 6 marketing agencies a month from one iPhone, earning $5,000 from each. Inside he runs a pipeline of 7 agents on Claude Sonnet 4.6 that every Monday pulls a scan of the tech stack from a selected agency, develops an MCP server for its ad accounts, and over the course of a week brings it to production code ready to connect to Claude Desktop. No DevOps, no senior developer, no project manager. Just a Mac Mini in a work corner, an iPhone in the pocket, and a single API key. And traditional dev shops keep 5 people on project rates for the same contract, while his entire P&L is tokens, dirt-cheap hosting on Cloudflare, and Calendly. 7 agents run under a shared orchestrator-router and burn about 5 million tokens a day, which in the API bill comes out to $540 a month. The Mac Mini itself sits at home and keeps the entire orchestrator running 24/7, and from the iPhone the owner connects to it through a secure remote terminal and sees the output of any session right on the smartphone screen, wherever he happens to be. His starting system prompt looks like this: "you run a solo shop for custom MCP servers for marketing agencies. you hand out read-only tasks to 6 sub-agents and own all commits and shipping yourself. sub-agents: // Hunter (finds marketing agencies of 15 to 60 people that have no MCP access to Google Ads, Meta Ads, TikTok Ads, and HubSpot) // Mapper (pulls their tech stack, identifies 3 to 5 integration pains, and simultaneously writes the technical spec for the server: which tools, resources, and prompts to export through MCP, which auth flow and rate limit) // Coder (generates an MCP server in Python through the MCP SDK, deploys 8 to 15 tools for ad accounts and CRM) // Validator (connects the server to Claude Desktop, runs real client API keys in a sandbox, and checks for compliance with the MCP spec) // Shipper (writes a README, integration guide, deployment manual, packages the server, and hosts it on Cloudflare Workers or pushes to the GitHub of the client) // Mobile (always online on the iPhone, books demo calls in Calendly, picks up hot fixes, and confirms contracts through a secure remote terminal to the Mac Mini). only 1 owner agent works on 1 contract, no overlaps. you pull the owner out of observation mode only when a deal goes above $7,500 or the test coverage of the server drops below 85%." This prompt gives the system an understanding of its role and the limits of intervention from the very first line. It knows it is supposed to find agencies on its own. It knows it is supposed to bring every MCP server to production on its own. It knows it connects the live owner only on large deals or when the tests do not converge. → The pipeline runs without breaks, day or night → Hunter goes through about 130 marketing agencies on LinkedIn and Clutch per day → Mapper rolls out 4 audit reports with the tech stack and a final spec for each → Coder writes 1 to 2 MCP servers per week in Python with 8 to 15 tools → Validator validates every server through Claude Desktop with real client API keys → Shipper rolls out the full documentation package and pushes the finished product to Cloudflare Workers or the GitHub of the client And only when a contract breaks $7,500 or test coverage drops below 85% does the orchestrator pull the owner from whatever he is doing. And when the owner at that moment is behind the wheel or at a meeting in a coworking space, the Mobile agent in his iPhone picks up 1 contract in progress: confirms a meeting with the agency CMO in Calendly, opens a live demo of the MCP server through a secure terminal to the Mac Mini, and writes the test result to the shared state. The owner just swipes "approve" and in 15 minutes joins the Zoom demo. The fresh system log from last Wednesday looks like this: "hunter report: 132 agencies checked on LinkedIn and Clutch, 19 without MCP integrations, 8 with active requests for AI tooling in job posts, 4 with an open Q4 budget. passing to mapper." "coder: MCP server for Northwave Performance Marketing built in Python, 11 tools for Google Ads, Meta Ads, and GA4, 320 lines of code. exported to /Users/dev/mcp-shop/clients/northwave/server.py. validator connecting to Claude Desktop." "validator: 11 tools passed validation through Claude Desktop, test coverage 92%, average latency 380 ms. passing to shipper." "eval flag: contract with Pacific Reach Agency at $8,200 exceeds the approved limit of $7,500. sending for manual review." In his work setup there is no cloud server, no external team, and not even a separate office. At home sits a Mac Mini with a sandbox at /Users/dev/mcp-shop, on top runs an MCP router with a single API key to Claude, and the same key is forwarded to a secure terminal on the iPhone. Out of everything I have seen this year, this is the cleanest solo shop for custom MCP servers for marketing agencies: $540 a month on the API, about $30,000 into the account, and between them 7 system prompts, 1 Mac Mini in a work corner, and 1 iPhone that never leaves the pocket.

Blaze

55,926 Aufrufe • vor 2 Monaten

1) This is sad and I hate it. First and foremost. 2) YOU are the FIRST and LAST line of defense for your child’s safety. Not Airbnb, not a homeowner, not society. We travel with a minimum of two baby gates when we drive to a location. If we fly, we buy some. 3) My 4-year-old is also autistic and we have a pool at our home. I’ve raised FIVE daughters BY MYSELF around a pool and have never had an issue. 5) We stay at Airbnbs around the nation with pools routinely and we NEVER trust simply ‘locking the door.’ We always push a piece of furniture to block any access to a pool. 6) I skipped 4 7) We just stayed at an Airbnb in Gatlinburg with a personal indoor pool right through the kitchen. The door to the pool had two deadbolts. I still pushed the fridge in front of the door. 8) I have a funny feeling these parents partied late into the night.
2:46

1) This is sad and I hate it. First and foremost. 2) YOU are the FIRST and LAST line of defense for your child’s safety. Not Airbnb, not a homeowner, not society. We travel with a minimum of two baby gates when we drive to a location. If we fly, we buy some. 3) My 4-year-old is also autistic and we have a pool at our home. I’ve raised FIVE daughters BY MYSELF around a pool and have never had an issue. 5) We stay at Airbnbs around the nation with pools routinely and we NEVER trust simply ‘locking the door.’ We always push a piece of furniture to block any access to a pool. 6) I skipped 4 7) We just stayed at an Airbnb in Gatlinburg with a personal indoor pool right through the kitchen. The door to the pool had two deadbolts. I still pushed the fridge in front of the door. 8) I have a funny feeling these parents partied late into the night.

Amiri King

186,831 Aufrufe • vor 3 Monaten

This week, Co-founder and Head of Research Ethan Jackson Neurmal//Theoriq returns with a full end-to-end demo of the OLP Swarm in action. He walks through how key components—pool pulses, Statistical Agents, Policy Agents, and LP Agents—work together to process data and trigger an onchain action. 🔫 He also showcases the Swarm dynamically responding to a natural language prompt and adjusting its liquidity position in real time. Watch the full demo below.
5:40

This week, Co-founder and Head of Research Ethan Jackson Neurmal//Theoriq returns with a full end-to-end demo of the OLP Swarm in action. He walks through how key components—pool pulses, Statistical Agents, Policy Agents, and LP Agents—work together to process data and trigger an onchain action. 🔫 He also showcases the Swarm dynamically responding to a natural language prompt and adjusting its liquidity position in real time. Watch the full demo below.

Theoriq

100,672 Aufrufe • vor 1 Jahr

The Trump administration just ADMITTED in court that DOGE employees illegally accessed the personal data of 300 MILLION Americans. Then tried to share it with a political group to "overturn election results." Your name. Your birthday. Your Social Security number. All of it exposed on an unsecured server with no audit trail. Here's the scandal no one is talking about: In January 2025, Elon Musk launched DOGE with a promise: Cut $2 TRILLION in government waste. Trump gave him unprecedented access to federal systems. Including the Social Security Administration. That's the database with YOUR name. YOUR birthday. YOUR address. YOUR Social Security number. The personal information of every American who's ever applied for a Social Security card. In March 2025, a federal judge issued a restraining order. DOGE was blocked from accessing Social Security data. The judge's words were brutal: "DOGE is engaged in a fishing expedition... without any concrete knowledge that the needle is actually in the haystack." But DOGE didn't stop. According to court filings released last week, within 24 HOURS of that restraining order... Senior officials at SSA "received instructions to undo the court-ordered access restrictions for two DOGE employees." They ignored a federal judge. From March 7 to March 17, DOGE employees started sharing data through Cloudflare. A third-party server that was NOT approved for storing government data. The Social Security Administration admitted: "SSA has not been able to determine exactly what data were shared to Cloudflare or whether the data still exist on the server." They literally don't know what was taken or where it went. Meanwhile, one DOGE employee sent an "encrypted and password-protected file" to Steve Davis. Who is Steve Davis? Elon Musk's top lieutenant. His right-hand man across multiple companies. The file allegedly contained the names and addresses of roughly 1,000 Americans. The SSA still can't open the file to verify what's inside. But here's where it gets INSANE. Court documents reveal that TWO DOGE employees were contacted by a "political advocacy group." The group's goal? To "find evidence of voter fraud and to overturn election results in certain States." One DOGE employee actually SIGNED a "Voter Data Agreement" with this group. Let that sink in. Government employees with access to 300 million Americans' data... Secretly agreeing to share that information with a political group trying to overturn elections. In August 2025, a whistleblower named Chuck Borges came forward. Borges was the Chief Data Officer at SSA. A 22-year Navy veteran. Career federal employee. He warned that DOGE had copied the ENTIRE Social Security database into a vulnerable cloud server. Names. Birthdays. Addresses. Citizenship status. Parents' names. Everything. An internal SSA risk assessment form said it plainly: "Unauthorized access to the NUMIDENT would be considered catastrophic impact to SSA beneficiaries." Career security officials recommended: "Production data should not be used." DOGE used it anyway. Borges was forced to resign shortly after filing his complaint. For MONTHS, the SSA denied any wrongdoing. Then last Friday, the Justice Department filed a "correction to the record." Translation: They admitted the whistleblower was right. The DOGE employees have been referred for potential Hatch Act violations. Democrats are calling for criminal prosecution. But here's the kicker: DOGE was disbanded in November 2025. Eight months ahead of schedule. Musk called it "an interesting side quest." The question now is simple: Who has your data? And what are they doing with it?
5:31

The Trump administration just ADMITTED in court that DOGE employees illegally accessed the personal data of 300 MILLION Americans. Then tried to share it with a political group to "overturn election results." Your name. Your birthday. Your Social Security number. All of it exposed on an unsecured server with no audit trail. Here's the scandal no one is talking about: In January 2025, Elon Musk launched DOGE with a promise: Cut $2 TRILLION in government waste. Trump gave him unprecedented access to federal systems. Including the Social Security Administration. That's the database with YOUR name. YOUR birthday. YOUR address. YOUR Social Security number. The personal information of every American who's ever applied for a Social Security card. In March 2025, a federal judge issued a restraining order. DOGE was blocked from accessing Social Security data. The judge's words were brutal: "DOGE is engaged in a fishing expedition... without any concrete knowledge that the needle is actually in the haystack." But DOGE didn't stop. According to court filings released last week, within 24 HOURS of that restraining order... Senior officials at SSA "received instructions to undo the court-ordered access restrictions for two DOGE employees." They ignored a federal judge. From March 7 to March 17, DOGE employees started sharing data through Cloudflare. A third-party server that was NOT approved for storing government data. The Social Security Administration admitted: "SSA has not been able to determine exactly what data were shared to Cloudflare or whether the data still exist on the server." They literally don't know what was taken or where it went. Meanwhile, one DOGE employee sent an "encrypted and password-protected file" to Steve Davis. Who is Steve Davis? Elon Musk's top lieutenant. His right-hand man across multiple companies. The file allegedly contained the names and addresses of roughly 1,000 Americans. The SSA still can't open the file to verify what's inside. But here's where it gets INSANE. Court documents reveal that TWO DOGE employees were contacted by a "political advocacy group." The group's goal? To "find evidence of voter fraud and to overturn election results in certain States." One DOGE employee actually SIGNED a "Voter Data Agreement" with this group. Let that sink in. Government employees with access to 300 million Americans' data... Secretly agreeing to share that information with a political group trying to overturn elections. In August 2025, a whistleblower named Chuck Borges came forward. Borges was the Chief Data Officer at SSA. A 22-year Navy veteran. Career federal employee. He warned that DOGE had copied the ENTIRE Social Security database into a vulnerable cloud server. Names. Birthdays. Addresses. Citizenship status. Parents' names. Everything. An internal SSA risk assessment form said it plainly: "Unauthorized access to the NUMIDENT would be considered catastrophic impact to SSA beneficiaries." Career security officials recommended: "Production data should not be used." DOGE used it anyway. Borges was forced to resign shortly after filing his complaint. For MONTHS, the SSA denied any wrongdoing. Then last Friday, the Justice Department filed a "correction to the record." Translation: They admitted the whistleblower was right. The DOGE employees have been referred for potential Hatch Act violations. Democrats are calling for criminal prosecution. But here's the kicker: DOGE was disbanded in November 2025. Eight months ahead of schedule. Musk called it "an interesting side quest." The question now is simple: Who has your data? And what are they doing with it?

Zyan

257,822 Aufrufe • vor 5 Monaten

PETER SCHIFF: WHY 2026 WILL BELONG TO THE MINERS .🔥 THE GREAT MINING CATCH-UP IS ABOUT TO BEGIN. 2025 Recap: Metals soared, but mining stocks lagged. ➡️ Gold rose ~64%. Silver surged over 140%. ❌ Yet, mining shares significantly underperformed. When silver jumped 15% in December, silver miners gained less than 2%. 🔍 Peter Schiff sees this skepticism as bullish. It mirrors the early phase of a major bull market where miners lag, then catch up violently. Why 2026 Will Be Different: ✅ Blowout Earnings: Sky-high metal prices will flow straight to miner bottom lines. ✅ Wall Street Attention: Analysts and the public will focus as the bull market matures. ✅ Capital Rotation: Money fleeing collapsing crypto assets (like Bitcoin) will flood into the undervalued mining sector. ✅ Validation: Silver’s decisive break above $50 confirms a historic breakout. The Opportunity is Massive. Miners offer tremendous leverage to the ongoing dollar bear market and the shift away from U.S. financial hegemony. The Bottom Line: The metals have run. Now, it's the miners' turn. The disconnect between share prices and fundamentals has set the stage for a powerful catch-up rally in 2026. HT: Peter Schiff #Gold #Silver #MiningStocks #Investing #PreciousMetals #PeterSchiff #Stocks #Commodities #BullMarket #2026Outlook
2:01

PETER SCHIFF: WHY 2026 WILL BELONG TO THE MINERS .🔥 THE GREAT MINING CATCH-UP IS ABOUT TO BEGIN. 2025 Recap: Metals soared, but mining stocks lagged. ➡️ Gold rose ~64%. Silver surged over 140%. ❌ Yet, mining shares significantly underperformed. When silver jumped 15% in December, silver miners gained less than 2%. 🔍 Peter Schiff sees this skepticism as bullish. It mirrors the early phase of a major bull market where miners lag, then catch up violently. Why 2026 Will Be Different: ✅ Blowout Earnings: Sky-high metal prices will flow straight to miner bottom lines. ✅ Wall Street Attention: Analysts and the public will focus as the bull market matures. ✅ Capital Rotation: Money fleeing collapsing crypto assets (like Bitcoin) will flood into the undervalued mining sector. ✅ Validation: Silver’s decisive break above $50 confirms a historic breakout. The Opportunity is Massive. Miners offer tremendous leverage to the ongoing dollar bear market and the shift away from U.S. financial hegemony. The Bottom Line: The metals have run. Now, it's the miners' turn. The disconnect between share prices and fundamentals has set the stage for a powerful catch-up rally in 2026. HT: Peter Schiff #Gold #Silver #MiningStocks #Investing #PreciousMetals #PeterSchiff #Stocks #Commodities #BullMarket #2026Outlook

Mark

57,452 Aufrufe • vor 6 Monaten

Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [Everlasting Dream] Limited-Time Rerun will start soon! "Since you seem to know everything, you should enlighten me." 💫Event Duration: From 05:00 on Nov. 13 to 04:59 on Nov. 20 (Server Time) 💫The 5-Star Rate UP Pool [Everlasting Dream] Limited-Time Rerun Event 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited] to participate in the wish event. The drop rate of the event-limited 5-Star Memory [Xavier: Heartstring Symphony] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Rerun Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific attempt of wishes. If the 5-Star Memory you've obtained from the Rerun Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Rerun Wish Pool can be applied to this Rerun Wish Pool, and the pity count in this Rerun Wish Pool will also be applied to the upcoming Rerun Wish Pool. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Dreamheart Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— 🪐Official Discord: #LoveandDeepspace #Xavier
0:29

Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [Everlasting Dream] Limited-Time Rerun will start soon! "Since you seem to know everything, you should enlighten me." 💫Event Duration: From 05:00 on Nov. 13 to 04:59 on Nov. 20 (Server Time) 💫The 5-Star Rate UP Pool [Everlasting Dream] Limited-Time Rerun Event 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited] to participate in the wish event. The drop rate of the event-limited 5-Star Memory [Xavier: Heartstring Symphony] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Rerun Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific attempt of wishes. If the 5-Star Memory you've obtained from the Rerun Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Rerun Wish Pool can be applied to this Rerun Wish Pool, and the pity count in this Rerun Wish Pool will also be applied to the upcoming Rerun Wish Pool. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Dreamheart Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— 🪐Official Discord: #LoveandDeepspace #Xavier

Love and Deepspace

269,041 Aufrufe • vor 8 Monaten

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

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

Andrew Ng

142,010 Aufrufe • vor 1 Jahr

Centralized #Bitcoin miners will always follow the path of least resistance. If the State tells them to do something they are going to do it. They don't want to be responsible for leading Bitcoin because they have executives, board members, and investors who can be held to some account if a State does not like what they are doing. An appropriately functioning network of decentralized nodes provides both leadership to the miners as well as cover from the encroachment of the State. If the miners are doing something the State doesn't like then they can pass the buck to the bitcoiners who run nodes that set and enforce the rules of the network. However, if bitcoiners defer their responsibilities to the top 5 mining nodes then they have essentially surrendered the network to the State. In August, the path of least resistance for the miners will be to flip the bit and activate BIP110. You can help provide the leadership that gets them to do what they need to do by running BIP110 on your node and putting some hash behind it. Learn why and how here: &
0:47

Centralized #Bitcoin miners will always follow the path of least resistance. If the State tells them to do something they are going to do it. They don't want to be responsible for leading Bitcoin because they have executives, board members, and investors who can be held to some account if a State does not like what they are doing. An appropriately functioning network of decentralized nodes provides both leadership to the miners as well as cover from the encroachment of the State. If the miners are doing something the State doesn't like then they can pass the buck to the bitcoiners who run nodes that set and enforce the rules of the network. However, if bitcoiners defer their responsibilities to the top 5 mining nodes then they have essentially surrendered the network to the State. In August, the path of least resistance for the miners will be to flip the bit and activate BIP110. You can help provide the leadership that gets them to do what they need to do by running BIP110 on your node and putting some hash behind it. Learn why and how here: &

Jim | RDTS | Bitcoin, not jpegs

14,448 Aufrufe • vor 11 Tagen

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:
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New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

Andrew Ng

81,696 Aufrufe • vor 10 Monaten

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:
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New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 Aufrufe • vor 1 Jahr

Paradox Infrastructure to Tokenize Part of Their $5m Fleet of BTC Miners on PinLink We’re delighted to announce that Paradox Infrastructure - who operate one of the leading global BTC mining operations - will be tokenizing a portion of their $5m+ mining fleet on PinLink’s “Pinnacle” fractional RWA marketplace. Paradox owns and operates over 800 M66S Whatsminer Immersion Models and they will start by tokenizing some of these miners on PinLink’s marketplace when our mainnet launches shortly. This will allow users to buy a fractional share of the miners’ income streams without having to host and operate them themselves. In doing so, it dramatically democratizing BTC mining revenue streams. “At Paradox Infrastructure, we're proud to operate a highly efficient Bitcoin mining operation,” said a Paradox Infrastructure spokesperson. “Through tokenization and fractionalization on PinLink, we're excited to open up access to these operations and share the benefits with a broader community. We're honored to be part of this innovative effort to advance the tokenized real-world asset space." PinLink is delighted to be the RWA tokenization platform of choice for the world’s leading infrastructure companies. We’re excited to welcome this new injection of inventory as we build out the largest RWA marketplace for physical assets. This provides another exciting step forward in our journey towards making $PIN the universal currency for the RWA sector.
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Paradox Infrastructure to Tokenize Part of Their $5m Fleet of BTC Miners on PinLink We’re delighted to announce that Paradox Infrastructure - who operate one of the leading global BTC mining operations - will be tokenizing a portion of their $5m+ mining fleet on PinLink’s “Pinnacle” fractional RWA marketplace. Paradox owns and operates over 800 M66S Whatsminer Immersion Models and they will start by tokenizing some of these miners on PinLink’s marketplace when our mainnet launches shortly. This will allow users to buy a fractional share of the miners’ income streams without having to host and operate them themselves. In doing so, it dramatically democratizing BTC mining revenue streams. “At Paradox Infrastructure, we're proud to operate a highly efficient Bitcoin mining operation,” said a Paradox Infrastructure spokesperson. “Through tokenization and fractionalization on PinLink, we're excited to open up access to these operations and share the benefits with a broader community. We're honored to be part of this innovative effort to advance the tokenized real-world asset space." PinLink is delighted to be the RWA tokenization platform of choice for the world’s leading infrastructure companies. We’re excited to welcome this new injection of inventory as we build out the largest RWA marketplace for physical assets. This provides another exciting step forward in our journey towards making $PIN the universal currency for the RWA sector.

PinLink

21,973 Aufrufe • vor 1 Jahr