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🌋 Ripple & Amazon Explained | AI x Blockchain Infrastructure Deep Dive Ripple just showed how AWS Bedrock can support a 24/7 multi agent operating system for the XRP Ledger. The objective is faster log to code correlation, quicker issue triage, lower operational risk, and smoother long term scaling....

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King Solomon (Ryan Solomon)

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20,373 görüntüleme • 8 ay önce •via X (Twitter)

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🚨 “WE WANT TO MAKE SURE THAT WE ARE FUTURE READY AND FUTURE PROOF… THAT’S HOW WE THINK ABOUT XRP AND THE XRP LEDGER.” 🤯💥 Brad Garlinghouse just went OFF on Mornings with Maria. Ripple just dropped the XRPL AI Starter Kit - tools for developers to build agent powered payments on the ledger. Plus - Ripple is locked in with Mastercard + 30+ companies building the future of AI payments. Brad made it clear: 🗣️ “this is how XRP Ledger stays ahead. And even Jamie Dimon now admits stablecoins will be a core part of the new financial system.” XRPL is positioning itself at the center of AI + payments + stablecoins. ✅ Is the XRP Ledger about to lead the next wave of financial innovation? 👀 What does this mean for XRP in 2026? Drop your hottest take below + RT if you’re bullish on the future of XRP🔥 #XRP #XRPArmy
2:37

🚨 “WE WANT TO MAKE SURE THAT WE ARE FUTURE READY AND FUTURE PROOF… THAT’S HOW WE THINK ABOUT XRP AND THE XRP LEDGER.” 🤯💥 Brad Garlinghouse just went OFF on Mornings with Maria. Ripple just dropped the XRPL AI Starter Kit - tools for developers to build agent powered payments on the ledger. Plus - Ripple is locked in with Mastercard + 30+ companies building the future of AI payments. Brad made it clear: 🗣️ “this is how XRP Ledger stays ahead. And even Jamie Dimon now admits stablecoins will be a core part of the new financial system.” XRPL is positioning itself at the center of AI + payments + stablecoins. ✅ Is the XRP Ledger about to lead the next wave of financial innovation? 👀 What does this mean for XRP in 2026? Drop your hottest take below + RT if you’re bullish on the future of XRP🔥 #XRP #XRPArmy

Archie 👑

47,689 görüntüleme • 3 ay önce

$ZBCN x $SPECT A new phase begins. Zebec Network and Spectre AI are preparing to take the next leap forward in our partnership. Zebec is not only powering real-time payroll and streaming finance - it’s also the engine behind our exclusive Black Spectre AI Cards. But this is just the beginning. Something special is brewing for Spectre AI Holders. We’re now showcasing Zebec Network inside the Spectre AI On-Chain Search Engine, where users can explore its market performance, on-chain sentiment, real-time flows, and cross-ecosystem relevance - all in one place. With ZBCN gaining attention - from key exchange listings to rumored discussions with Ripple / $XRP - the momentum is undeniable. A sub-penny token fueling real utility, real-time payments, and potentially deeper integration with the future of on-chain finance. What comes next. Watch closely. #xrp #ripple #sol #zebec
0:55

$ZBCN x $SPECT A new phase begins. Zebec Network and Spectre AI are preparing to take the next leap forward in our partnership. Zebec is not only powering real-time payroll and streaming finance - it’s also the engine behind our exclusive Black Spectre AI Cards. But this is just the beginning. Something special is brewing for Spectre AI Holders. We’re now showcasing Zebec Network inside the Spectre AI On-Chain Search Engine, where users can explore its market performance, on-chain sentiment, real-time flows, and cross-ecosystem relevance - all in one place. With ZBCN gaining attention - from key exchange listings to rumored discussions with Ripple / $XRP - the momentum is undeniable. A sub-penny token fueling real utility, real-time payments, and potentially deeper integration with the future of on-chain finance. What comes next. Watch closely. #xrp #ripple #sol #zebec

SPECTRE AI

130,662 görüntüleme • 1 yıl önce

🚀 Three Next-Gen AI & Web3 Projects Are Launching on Mindo AI A new chapter for community-powered intelligence, prediction markets, and open AI infrastructure The AI + Web3 landscape is entering a decisive phase — one where real usage, real revenue, and real ownership matter more than hype. Today, MindoAI is proud to welcome three groundbreaking projects that represent this shift clearly and powerfully: Perceptron Network Space DeepNode AI Each project tackles a different bottleneck in the AI economy — data, forecasting, and infrastructure — but they all share the same vision: decentralization, community ownership, and sustainable value creation. Let’s take a deeper look 👇 🧠 Perceptron Network The world’s first community-powered AI data engine Perceptron Network is redefining how AI data is sourced, validated, and delivered. Instead of relying on expensive, closed, and slow legacy data providers, Perceptron unlocks community-powered data pipelines that are: Faster Cheaper Revenue-generating from day one This isn’t experimental AI infrastructure — Perceptron already serves real clients with real revenue, proving that decentralized data engines can outperform traditional incumbents. Why Perceptron matters: AI models are only as good as their data Centralized data monopolies slow innovation Communities can produce higher-quality data at scale By aligning contributors, validators, and clients through incentives, Perceptron turns unused human and network potential into a living data engine for AI. Launching on Mindo AI gives Perceptron access to a broader AI-native community — accelerating adoption, partnerships, and ecosystem growth. 🌌 intodotspace The first 10× leveraged prediction market on Solana intodotspace is pushing the boundaries of on-chain prediction markets. Built by the $1.5B UFO team, this platform introduces: 10× leveraged predictions Ultra-fast execution on Solana Deep liquidity and composable market design The market’s confidence is already clear — the project completed a record-breaking raise that was oversubscribed by 1,360%. What makes intodotspace different: Leverage amplifies conviction, not noise On-chain transparency replaces opaque odds Markets become real-time intelligence engines Prediction markets are often called “truth machines.” intodotspace upgrades them into high-signal, high-efficiency forecasting layers — useful for traders, protocols, DAOs, and even AI systems that need probabilistic insights. Launching on positions intodotspace at the intersection of AI-driven decision-making and on-chain market intelligence. 🌐 DeepNode AI Infrastructure for open intelligence DeepNode AI is tackling one of the biggest problems in modern AI: centralized ownership. Today, AI is dominated by a handful of corporations. DeepNode flips that model by building open intelligence infrastructure where: Anyone can deploy AI models Builders earn directly from usage Intelligence is co-owned, not extracted Backed by leading validators, miners, and ecosystem builders, DeepNode transforms AI from a closed monopoly into a shared utility. DeepNode’s core philosophy: “Own what you build — or someone else will.” This is more than infrastructure. It’s an economic redesign of AI itself: Builders keep ownership Contributors share upside Networks replace platforms Launching on connects DeepNode to creators, researchers, and communities who believe intelligence should belong to everyone — not just Big Tech. 🤝 Why This Matters for With the launch of Perceptron Network, intodotspace, and DeepNode AI, #MindoAI is rapidly becoming: A hub for AI-native Web3 innovation A launchpad for real, revenue-backed projects A meeting point for data, markets, and intelligence infrastructure These three projects don’t compete — they complement each other: Perceptron supplies data intodotspace produces market intelligence DeepNode powers open AI execution Together, they form the backbone of a decentralized intelligence economy. 🔥 The future of AI is open, composable, and community-owned — and it’s launching now on Which of these projects are you most excited about? And how do you see decentralized intelligence reshaping the next AI cycle? 👇 Share your thoughts and join the conversation.
0:38

🚀 Three Next-Gen AI & Web3 Projects Are Launching on Mindo AI A new chapter for community-powered intelligence, prediction markets, and open AI infrastructure The AI + Web3 landscape is entering a decisive phase — one where real usage, real revenue, and real ownership matter more than hype. Today, MindoAI is proud to welcome three groundbreaking projects that represent this shift clearly and powerfully: Perceptron Network Space DeepNode AI Each project tackles a different bottleneck in the AI economy — data, forecasting, and infrastructure — but they all share the same vision: decentralization, community ownership, and sustainable value creation. Let’s take a deeper look 👇 🧠 Perceptron Network The world’s first community-powered AI data engine Perceptron Network is redefining how AI data is sourced, validated, and delivered. Instead of relying on expensive, closed, and slow legacy data providers, Perceptron unlocks community-powered data pipelines that are: Faster Cheaper Revenue-generating from day one This isn’t experimental AI infrastructure — Perceptron already serves real clients with real revenue, proving that decentralized data engines can outperform traditional incumbents. Why Perceptron matters: AI models are only as good as their data Centralized data monopolies slow innovation Communities can produce higher-quality data at scale By aligning contributors, validators, and clients through incentives, Perceptron turns unused human and network potential into a living data engine for AI. Launching on Mindo AI gives Perceptron access to a broader AI-native community — accelerating adoption, partnerships, and ecosystem growth. 🌌 intodotspace The first 10× leveraged prediction market on Solana intodotspace is pushing the boundaries of on-chain prediction markets. Built by the $1.5B UFO team, this platform introduces: 10× leveraged predictions Ultra-fast execution on Solana Deep liquidity and composable market design The market’s confidence is already clear — the project completed a record-breaking raise that was oversubscribed by 1,360%. What makes intodotspace different: Leverage amplifies conviction, not noise On-chain transparency replaces opaque odds Markets become real-time intelligence engines Prediction markets are often called “truth machines.” intodotspace upgrades them into high-signal, high-efficiency forecasting layers — useful for traders, protocols, DAOs, and even AI systems that need probabilistic insights. Launching on positions intodotspace at the intersection of AI-driven decision-making and on-chain market intelligence. 🌐 DeepNode AI Infrastructure for open intelligence DeepNode AI is tackling one of the biggest problems in modern AI: centralized ownership. Today, AI is dominated by a handful of corporations. DeepNode flips that model by building open intelligence infrastructure where: Anyone can deploy AI models Builders earn directly from usage Intelligence is co-owned, not extracted Backed by leading validators, miners, and ecosystem builders, DeepNode transforms AI from a closed monopoly into a shared utility. DeepNode’s core philosophy: “Own what you build — or someone else will.” This is more than infrastructure. It’s an economic redesign of AI itself: Builders keep ownership Contributors share upside Networks replace platforms Launching on connects DeepNode to creators, researchers, and communities who believe intelligence should belong to everyone — not just Big Tech. 🤝 Why This Matters for With the launch of Perceptron Network, intodotspace, and DeepNode AI, #MindoAI is rapidly becoming: A hub for AI-native Web3 innovation A launchpad for real, revenue-backed projects A meeting point for data, markets, and intelligence infrastructure These three projects don’t compete — they complement each other: Perceptron supplies data intodotspace produces market intelligence DeepNode powers open AI execution Together, they form the backbone of a decentralized intelligence economy. 🔥 The future of AI is open, composable, and community-owned — and it’s launching now on Which of these projects are you most excited about? And how do you see decentralized intelligence reshaping the next AI cycle? 👇 Share your thoughts and join the conversation.

Hồng Ngọc | Ruby💎

12,837 görüntüleme • 7 ay önce

You asked for it, we delivered. The full keynote is live. In this keynote, we unveil our enhanced vision to become the World’s Ears for AI & Robotics. We are creating the world’s first decentralized infrastructure for real-world audio intelligence. Check-out our new website: Start training Voice AI now & get rewarded: From noise-level mapping to multilingual voice data and the future of live audio streams, Silencio is building the critical audio data layer that will power foundation models, embodied AI, autonomous vehicles, and robotics.
23:24

You asked for it, we delivered. The full keynote is live. In this keynote, we unveil our enhanced vision to become the World’s Ears for AI & Robotics. We are creating the world’s first decentralized infrastructure for real-world audio intelligence. Check-out our new website: Start training Voice AI now & get rewarded: From noise-level mapping to multilingual voice data and the future of live audio streams, Silencio is building the critical audio data layer that will power foundation models, embodied AI, autonomous vehicles, and robotics.

Silencio | Voice Data for AI

176,480 görüntüleme • 1 yıl önce

🚨J.P. MORGAN AI. RIPPLE PAYMENTS. t54. $XRP LEDGER🚨 I WILL SHOW YOU THE CONNECTION I FOUND. The person linking the first three is Chandler Fang. Before t54, he led J.P. Morgan’s Cash Flow Forecasting AI product and later worked on Ripple Payments. Now t54 is building identity, risk and compliance tools for autonomous agents, backed by a $5M round that included Franklin Templeton and Ripple. Its contribution to XRPL’s AI Starter Kit lets machines pay other machines for APIs, data and computing through x402 using XRP or RLUSD. One part is proven: Ripple, Ondo, Mastercard and Kinexys completed a cross-border tokenized Treasury redemption, with the XRPL side processing in under five seconds. McKinsey says agentic commerce could reach $5T globally by 2030. No J.P. Morgan–t54 collaboration has been announced. Still, I see the blueprint: trusted AI agents, tokenized assets, bank connectivity and instant settlement meeting on one rail. That rail could become a source of XRP utility. To me? $XRP is moving closer to the machine economy before most people even understand it. AI SZN. XRP SZN.
1:17

🚨J.P. MORGAN AI. RIPPLE PAYMENTS. t54. $XRP LEDGER🚨 I WILL SHOW YOU THE CONNECTION I FOUND. The person linking the first three is Chandler Fang. Before t54, he led J.P. Morgan’s Cash Flow Forecasting AI product and later worked on Ripple Payments. Now t54 is building identity, risk and compliance tools for autonomous agents, backed by a $5M round that included Franklin Templeton and Ripple. Its contribution to XRPL’s AI Starter Kit lets machines pay other machines for APIs, data and computing through x402 using XRP or RLUSD. One part is proven: Ripple, Ondo, Mastercard and Kinexys completed a cross-border tokenized Treasury redemption, with the XRPL side processing in under five seconds. McKinsey says agentic commerce could reach $5T globally by 2030. No J.P. Morgan–t54 collaboration has been announced. Still, I see the blueprint: trusted AI agents, tokenized assets, bank connectivity and instant settlement meeting on one rail. That rail could become a source of XRP utility. To me? $XRP is moving closer to the machine economy before most people even understand it. AI SZN. XRP SZN.

X Finance Bull

24,987 görüntüleme • 2 ay önce

the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud
1:31

the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud

John Furrier

47,663 görüntüleme • 2 ay önce

🌋 WARNING: Banks Have Begun Tokenizing Deposits. This Is the $100T Moment. Banks are moving beyond stablecoins toward tokenized bank deposits. Programmable money, inside the existing banking system. Networks and developments covered: XRPL / XRP Positioned as neutral liquidity and settlement for tokenized assets, stablecoins, and institutional payments. Learn 12 things about XRP in today's video. Canton Network / CC Lloyds Banking Group and Archax completed the UK’s first public blockchain settlement using tokenized deposits on Canton. DTCC, Nasdaq, and JPMorgan are aligning around this regulated market infrastructure. Hedera / HBAR Enterprise and government adoption is driving internal consolidation to reduce friction and accelerate real deployments. Fortune 500 companies are actively choosing Hedera. Quant / QNT Deeply embedded in sovereign and banking rails, openly discussing tokenized deposits as core commercial bank money. Solana / SOL Powering regulated stablecoin and public-sector deployments, including the first U.S. state-issued stablecoin via the Wyoming Stable Token initiative. Chainlink / LINK The data layer. Embedded across almost ever recent major announcement, enabling on-chain data, interoperability, and market infrastructure workflows. Tokenized deposits are bringing programmability into the traditional system, global financial infrastructure is upgrading in real time!!! Mentions: Ripple RippleXDev Canton Network Hedera Archax Archax Crypto @quant_network Gilbert Verdian Solana vibhu Chainlink Wyoming Stable Token Commission
29:45

🌋 WARNING: Banks Have Begun Tokenizing Deposits. This Is the $100T Moment. Banks are moving beyond stablecoins toward tokenized bank deposits. Programmable money, inside the existing banking system. Networks and developments covered: XRPL / XRP Positioned as neutral liquidity and settlement for tokenized assets, stablecoins, and institutional payments. Learn 12 things about XRP in today's video. Canton Network / CC Lloyds Banking Group and Archax completed the UK’s first public blockchain settlement using tokenized deposits on Canton. DTCC, Nasdaq, and JPMorgan are aligning around this regulated market infrastructure. Hedera / HBAR Enterprise and government adoption is driving internal consolidation to reduce friction and accelerate real deployments. Fortune 500 companies are actively choosing Hedera. Quant / QNT Deeply embedded in sovereign and banking rails, openly discussing tokenized deposits as core commercial bank money. Solana / SOL Powering regulated stablecoin and public-sector deployments, including the first U.S. state-issued stablecoin via the Wyoming Stable Token initiative. Chainlink / LINK The data layer. Embedded across almost ever recent major announcement, enabling on-chain data, interoperability, and market infrastructure workflows. Tokenized deposits are bringing programmability into the traditional system, global financial infrastructure is upgrading in real time!!! Mentions: Ripple RippleXDev Canton Network Hedera Archax Archax Crypto @quant_network Gilbert Verdian Solana vibhu Chainlink Wyoming Stable Token Commission

Ryan (King) Solomon

24,147 görüntüleme • 8 ay önce

The next evolution of the OptimAI Core Node is coming, and it’s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: 🔍 What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems 💡 Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. ⚡ We’re not just building tools - we’re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. 💪 The more you contribute, the more you earn. Let’s BUIDL the future of AI together.
0:31

The next evolution of the OptimAI Core Node is coming, and it’s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: 🔍 What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems 💡 Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. ⚡ We’re not just building tools - we’re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. 💪 The more you contribute, the more you earn. Let’s BUIDL the future of AI together.

OptimAI Network

50,485 görüntüleme • 1 yıl önce

💡 Whats the upgrade that our game-changing Trading 🐦 is going to get: Our upgraded trading tools will be built on a foundation of advanced AI technologies and blockchain integrations to deliver a seamless, smarter trading experience. Here’s a glimpse of the tech behind this upgraded trading agent: 1️⃣ Multi-Layer Attention (MLA) - This is the backbone of our AI system, enabling multiple AI agents to work in sync. - It allows the agents to collaborate on tasks like analyzing market trends, identifying token opportunities, and optimizing strategies in real time. - MLA ensures parallel processing of data for better decision-making and faster 2️⃣ Learning and Evolution System - Our AI agents are powered by a self-learning framework that constantly evolves based on market conditions and user behavior. - With every interaction, the system adapts and gets smarter, improving the accuracy of its predictions and strategies. 3️⃣ On-Chain Data Analysis - The AI bots pull data directly from Ethereum and other blockchain networks, giving them real-time access to liquidity pools, token prices, and market activity. - This deep integration ensures precise and timely execution of tasks like token purchases, profit analysis, and cross-chain swaps. 4️⃣ Natural Language Processing (NLP) - NLP models power the bot’s ability to understand your tweets and translate them into complex trading actions. - This ensures an easy-to-use, human-friendly interface that connects your social interactions to advanced trading strategies. 5️⃣ Cloud-Hosted Infrastructure - The AI operates on scalable cloud infrastructure, ensuring 24/7 uptime, fast processing, and the ability to handle large volumes of trades simultaneously.
0:51

💡 Whats the upgrade that our game-changing Trading 🐦 is going to get: Our upgraded trading tools will be built on a foundation of advanced AI technologies and blockchain integrations to deliver a seamless, smarter trading experience. Here’s a glimpse of the tech behind this upgraded trading agent: 1️⃣ Multi-Layer Attention (MLA) - This is the backbone of our AI system, enabling multiple AI agents to work in sync. - It allows the agents to collaborate on tasks like analyzing market trends, identifying token opportunities, and optimizing strategies in real time. - MLA ensures parallel processing of data for better decision-making and faster 2️⃣ Learning and Evolution System - Our AI agents are powered by a self-learning framework that constantly evolves based on market conditions and user behavior. - With every interaction, the system adapts and gets smarter, improving the accuracy of its predictions and strategies. 3️⃣ On-Chain Data Analysis - The AI bots pull data directly from Ethereum and other blockchain networks, giving them real-time access to liquidity pools, token prices, and market activity. - This deep integration ensures precise and timely execution of tasks like token purchases, profit analysis, and cross-chain swaps. 4️⃣ Natural Language Processing (NLP) - NLP models power the bot’s ability to understand your tweets and translate them into complex trading actions. - This ensures an easy-to-use, human-friendly interface that connects your social interactions to advanced trading strategies. 5️⃣ Cloud-Hosted Infrastructure - The AI operates on scalable cloud infrastructure, ensuring 24/7 uptime, fast processing, and the ability to handle large volumes of trades simultaneously.

𝕋𝕎𝔼𝔼𝕋

20,357 görüntüleme • 1 yıl önce

🌋 Solana tweeted 589 today, but the real story is what's happening behind the scenes... Solana posted “589” and the internet exploded, but the timing lines up with Breakpoint in Abu Dhabi and RippleX’s global partner success lead being on the Solana main stage. There is clearly real technical work or trials happening between XRP & SOL, even if people try to spin it as something else. More importantly, major policy moves dropped across the UK and EU that barely hit the radar: The UK’s Financial Conduct Authority released a major discussion paper on the future of retail investing. It is not a crypto document, but crypto sits at the center of it. They are looking at new risk models, stronger disclosures, cooling off periods and how to regulate high volatility assets. This is a clear step toward pulling crypto into a fully regulated investment environment. Lloyds Bank said tokenized deposits and AI could completely redesign the home buying process. Real estate is one of the largest asset classes on earth, and the largest mortgage provider in the UK is openly talking about putting the entire conveyancing process on blockchain. That is a major signal. The European Commission then released its next phase package expanding the DLT pilot regime and preparing Europe for one unified crypto rulebook under ESMA. This places DLT directly inside the future capital markets framework of the EU. Swift announced a blockchain ledger, and according to former senior leadership at Swift (XDC), this now puts them in the position of playing catch up to Ripple and others that have been building in this space for years. Today, Chief Policy Officer Nilmini Rubin represented Hedera (HBAR) at the Canadian Chamber of Commerce’s 2025 B7 event focused on economic security and resilience. Hedera continues supporting trusted digital infrastructure for stronger supply chains and competitive growth. Put it all together and you can see what’s actually happening. Infrastructure, regulators, banks and networks are all aligning around the same direction. The shift to digital capital markets is rapidly approaching.
21:19

🌋 Solana tweeted 589 today, but the real story is what's happening behind the scenes... Solana posted “589” and the internet exploded, but the timing lines up with Breakpoint in Abu Dhabi and RippleX’s global partner success lead being on the Solana main stage. There is clearly real technical work or trials happening between XRP & SOL, even if people try to spin it as something else. More importantly, major policy moves dropped across the UK and EU that barely hit the radar: The UK’s Financial Conduct Authority released a major discussion paper on the future of retail investing. It is not a crypto document, but crypto sits at the center of it. They are looking at new risk models, stronger disclosures, cooling off periods and how to regulate high volatility assets. This is a clear step toward pulling crypto into a fully regulated investment environment. Lloyds Bank said tokenized deposits and AI could completely redesign the home buying process. Real estate is one of the largest asset classes on earth, and the largest mortgage provider in the UK is openly talking about putting the entire conveyancing process on blockchain. That is a major signal. The European Commission then released its next phase package expanding the DLT pilot regime and preparing Europe for one unified crypto rulebook under ESMA. This places DLT directly inside the future capital markets framework of the EU. Swift announced a blockchain ledger, and according to former senior leadership at Swift (XDC), this now puts them in the position of playing catch up to Ripple and others that have been building in this space for years. Today, Chief Policy Officer Nilmini Rubin represented Hedera (HBAR) at the Canadian Chamber of Commerce’s 2025 B7 event focused on economic security and resilience. Hedera continues supporting trusted digital infrastructure for stronger supply chains and competitive growth. Put it all together and you can see what’s actually happening. Infrastructure, regulators, banks and networks are all aligning around the same direction. The shift to digital capital markets is rapidly approaching.

King Solomon (Ryan Solomon)

106,158 görüntüleme • 9 ay önce

Elon wants Treasury Dept to run on Blockchain as we now find out career officials are breaking the law every hour of every day by approving payments that are fraudulent or match funding laws passed by Congress Great news Elon Musk because Treasury Department is already running on-onchain and here are some of the things they are testing ✅DLT for Transparent Ownership Records: Digital ledger technology provides a transparent and immutable record of ownership for tokenized assets. Each transaction involving tokenized assets is recorded on the blockchain, creating a tamper-proof audit trail of ownership transfers. DLT ensures transparency and trust in the ownership history of tokenized assets, mitigating the risk of fraud and disputes ✅AI-Powered Asset Valuation and Risk Assessment: AI algorithms can analyze vast amounts of data to assess the value and risk of tokenized assets. Machine learning models can incorporate financial data, market trends, and other relevant factors to provide accurate valuations and risk assessments in real-time. AI-powered analytics can help investors make informed decisions about buying, selling, or holding tokenized assets based on their risk appetite and investment objectives ✅Automated Compliance and Regulatory Reporting: AI can automate compliance processes and regulatory reporting requirements for tokenized financial products. Machine learning algorithms can monitor transactions for suspicious activities, detect potential compliance violations, and generate regulatory reports automatically. By integrating AI-powered compliance solutions with DLT-based platforms, financial institutions can ensure regulatory compliance while minimizing operational costs and risks. ✅Decentralized Governance and Decision-Making: DAOs enable decentralized governance structures where stakeholders collectively make decisions about the management and operation of tokenized financial products. Token holders within DAOs can vote on key governance issues, such as asset allocation, dividend distribution, and protocol upgrades. Decentralized governance ensures transparency, accountability, and community participation in the management of financial product ---------------------- All of this is running on the same DLT that is the number one data focused blockchain used by @DeptofDefense 🇺🇸IRON SPIDR Powered by Constellation² $DAG
4:18

Elon wants Treasury Dept to run on Blockchain as we now find out career officials are breaking the law every hour of every day by approving payments that are fraudulent or match funding laws passed by Congress Great news Elon Musk because Treasury Department is already running on-onchain and here are some of the things they are testing ✅DLT for Transparent Ownership Records: Digital ledger technology provides a transparent and immutable record of ownership for tokenized assets. Each transaction involving tokenized assets is recorded on the blockchain, creating a tamper-proof audit trail of ownership transfers. DLT ensures transparency and trust in the ownership history of tokenized assets, mitigating the risk of fraud and disputes ✅AI-Powered Asset Valuation and Risk Assessment: AI algorithms can analyze vast amounts of data to assess the value and risk of tokenized assets. Machine learning models can incorporate financial data, market trends, and other relevant factors to provide accurate valuations and risk assessments in real-time. AI-powered analytics can help investors make informed decisions about buying, selling, or holding tokenized assets based on their risk appetite and investment objectives ✅Automated Compliance and Regulatory Reporting: AI can automate compliance processes and regulatory reporting requirements for tokenized financial products. Machine learning algorithms can monitor transactions for suspicious activities, detect potential compliance violations, and generate regulatory reports automatically. By integrating AI-powered compliance solutions with DLT-based platforms, financial institutions can ensure regulatory compliance while minimizing operational costs and risks. ✅Decentralized Governance and Decision-Making: DAOs enable decentralized governance structures where stakeholders collectively make decisions about the management and operation of tokenized financial products. Token holders within DAOs can vote on key governance issues, such as asset allocation, dividend distribution, and protocol upgrades. Decentralized governance ensures transparency, accountability, and community participation in the management of financial product ---------------------- All of this is running on the same DLT that is the number one data focused blockchain used by @DeptofDefense 🇺🇸IRON SPIDR Powered by Constellation² $DAG

Dagnum²

17,293 görüntüleme • 1 yıl önce

My conversation with Tarun Chitra As a co-founder of Gauntlet and GP at Robot Ventures, Tarun has one of the sharpest frameworks for understanding market structure across both crypto and AI. In this episode we dig into why open source AI is unbundling faster than most people expect, and how the resulting stack looks surprisingly similar to DeFi. We spend time mapping the AI infrastructure layers directly onto crypto primitives and examining where value is actually going to accrue as models, harnesses, routers, and inference providers separate. At the center of the conversation is the belief that AI’s unbundling is creating a new competitive order-flow market (data centers competing like nodes, MEV-like dynamics for tokens/GPUs) while crypto itself has settled into a more mature “TradFi plus+” phase focused on trading, payments, and bringing real assets on-chain. We discuss: - The current state of crypto as TradFi+ and the decline of speculative narratives - Why AI is killing Bitcoin mining economics and weakening ETH value accrual - The architectural parallel between AI stacks and DeFi (Harnesses = Wallets, Routers = DEX aggregators, Models = Protocols, Inference Providers = LPs) - Why open source models are unbundling faster than traditional software - Agents as the next interface layer and the potential unbundling of ETFs -Cryptography, verifiable compute, and turning GPUs into digital assets - Onchain compute trading as the real crypto × AI opportunity - Sustainable business models and where value will ultimately capture Timestamps: 0:00 – Introduction & State of the Crypto Market 2:00 – Speculative Narratives Fade, Trading & Payments Remain 7:00 – AI’s Impact on Bitcoin Economics & Data Center Opportunity Cost 9:00 – ETH Value Accrual, Solana Positioning & DeFi Token Sustainability 15:00 – Trading Design Space & On-Chain Volume Upside 25:00 – AI Unbundling Thesis: Open-Source Models vs Data Centers 35:00 – The DeFi Mapping (Harnesses, Routers, Models, Inference) 48:00 – Agents, Preference Expression & Unbundling Traditional Products 1:00:00 – Real-Time Harness Generation & Active Learning 1:05:00 – Cryptography, Verifiable Compute & On-Chain GPU Markets 1:10:00 – Closing Thoughts: Where Value Accrues Next Enjoy!
1:13:04

My conversation with Tarun Chitra As a co-founder of Gauntlet and GP at Robot Ventures, Tarun has one of the sharpest frameworks for understanding market structure across both crypto and AI. In this episode we dig into why open source AI is unbundling faster than most people expect, and how the resulting stack looks surprisingly similar to DeFi. We spend time mapping the AI infrastructure layers directly onto crypto primitives and examining where value is actually going to accrue as models, harnesses, routers, and inference providers separate. At the center of the conversation is the belief that AI’s unbundling is creating a new competitive order-flow market (data centers competing like nodes, MEV-like dynamics for tokens/GPUs) while crypto itself has settled into a more mature “TradFi plus+” phase focused on trading, payments, and bringing real assets on-chain. We discuss: - The current state of crypto as TradFi+ and the decline of speculative narratives - Why AI is killing Bitcoin mining economics and weakening ETH value accrual - The architectural parallel between AI stacks and DeFi (Harnesses = Wallets, Routers = DEX aggregators, Models = Protocols, Inference Providers = LPs) - Why open source models are unbundling faster than traditional software - Agents as the next interface layer and the potential unbundling of ETFs -Cryptography, verifiable compute, and turning GPUs into digital assets - Onchain compute trading as the real crypto × AI opportunity - Sustainable business models and where value will ultimately capture Timestamps: 0:00 – Introduction & State of the Crypto Market 2:00 – Speculative Narratives Fade, Trading & Payments Remain 7:00 – AI’s Impact on Bitcoin Economics & Data Center Opportunity Cost 9:00 – ETH Value Accrual, Solana Positioning & DeFi Token Sustainability 15:00 – Trading Design Space & On-Chain Volume Upside 25:00 – AI Unbundling Thesis: Open-Source Models vs Data Centers 35:00 – The DeFi Mapping (Harnesses, Routers, Models, Inference) 48:00 – Agents, Preference Expression & Unbundling Traditional Products 1:00:00 – Real-Time Harness Generation & Active Learning 1:05:00 – Cryptography, Verifiable Compute & On-Chain GPU Markets 1:10:00 – Closing Thoughts: Where Value Accrues Next Enjoy!

Logan Jastremski

132,617 görüntüleme • 1 ay önce

🚨 FOMO Is Shaping the Future of AI – The Launch Is Almost Here! 🚨 Imagine a world where AI agents aren’t just bots—they’re fully autonomous, living personalities capable of learning, engaging, and creating across multiple platforms. FOMO’s new AI launchpad on Solana is here to make that future a reality. 🌐 Starting with our first Initial Agent Offering (IAO), FOMO is unleashing a new generation of AI agents that will redefine digital interaction: - On-Chain AI – Agents that are decentralized, fully autonomous, and ready to interact in real-time. - Multiplatform Presence – From X and Telegram to TikTok and YouTube, these agents are social media natives with a mission. - Real-Time Learning & Engagement – Agents will evolve and improve as they interact, shilling their tokens, creating content, and even performing complex tasks. FOMO’s Vision: This isn’t just AI; it’s the beginning of a movement that merges personality with purpose. By launching AI agents that can both engage and create, FOMO is opening doors to a world where digital personas can operate autonomously, driving value and utility in every interaction. Our pre-sale is still live for a limited time, but this is just the beginning of what FOMO is bringing to the space. Join us and become part of the AI agent revolution! 🔗 Join the Pre-Sale Now: We’re bringing you the future of crypto and AI—don’t blink, or you might miss the start of something legendary.
0:26

🚨 FOMO Is Shaping the Future of AI – The Launch Is Almost Here! 🚨 Imagine a world where AI agents aren’t just bots—they’re fully autonomous, living personalities capable of learning, engaging, and creating across multiple platforms. FOMO’s new AI launchpad on Solana is here to make that future a reality. 🌐 Starting with our first Initial Agent Offering (IAO), FOMO is unleashing a new generation of AI agents that will redefine digital interaction: - On-Chain AI – Agents that are decentralized, fully autonomous, and ready to interact in real-time. - Multiplatform Presence – From X and Telegram to TikTok and YouTube, these agents are social media natives with a mission. - Real-Time Learning & Engagement – Agents will evolve and improve as they interact, shilling their tokens, creating content, and even performing complex tasks. FOMO’s Vision: This isn’t just AI; it’s the beginning of a movement that merges personality with purpose. By launching AI agents that can both engage and create, FOMO is opening doors to a world where digital personas can operate autonomously, driving value and utility in every interaction. Our pre-sale is still live for a limited time, but this is just the beginning of what FOMO is bringing to the space. Join us and become part of the AI agent revolution! 🔗 Join the Pre-Sale Now: We’re bringing you the future of crypto and AI—don’t blink, or you might miss the start of something legendary.

FOMO

21,882 görüntüleme • 1 yıl önce

The DATA Network is onboarding audit receipts for hundreds of broadcast programs from Maryland Public Television, one of the largest statewide networks in the PBS family. For more than 50 years, MPT has produced award-winning programming across science, nature, crime, history, education, and local storytelling, earning 211 Capital Emmy Awards alongside multiple national Emmys. This marks another major catalog being brought into the transparent AI data economy through the DATA Network x Kled AI partnership. As the catalog's exclusive AI licensing partner, Kled is onboarding it to Trace, where its provenance, licensing permissions, and usage history can be independently verified before it is licensed to AI labs. We're entering an era where governments, public institutions, and major media organizations are licensing their archives to AI companies. Transparent proof of authorization will become increasingly important, and those records will live on the DATA Network.
0:36

The DATA Network is onboarding audit receipts for hundreds of broadcast programs from Maryland Public Television, one of the largest statewide networks in the PBS family. For more than 50 years, MPT has produced award-winning programming across science, nature, crime, history, education, and local storytelling, earning 211 Capital Emmy Awards alongside multiple national Emmys. This marks another major catalog being brought into the transparent AI data economy through the DATA Network x Kled AI partnership. As the catalog's exclusive AI licensing partner, Kled is onboarding it to Trace, where its provenance, licensing permissions, and usage history can be independently verified before it is licensed to AI labs. We're entering an era where governments, public institutions, and major media organizations are licensing their archives to AI companies. Transparent proof of authorization will become increasingly important, and those records will live on the DATA Network.

The DATA Foundation

15,593 görüntüleme • 1 ay önce

🚨SEC OFFICIALLY GREENLIT TOKENIZED U.S. STOCK TRADING🚨 $XRP, $XLM and $HBAR have been building toward this moment for years. I went through the actual SEC order, and one detail changes how I look at all three. The SEC’s new five-year Innovation Exemption allows qualifying Tokenized Securities Venues to trade real tokenized U.S. stocks through permissioned AMMs and liquidity pools on public blockchains. These tokenized shares must preserve the rights of the underlying stock. But here is the part that matters for crypto. A tokenized U.S. stock can be paired with a non-security crypto asset. And the SEC specifically says the exemption does not limit which type of non-security crypto asset a venue can choose. Now go back six months. The SEC’s March interpretation explicitly listed: XRP XLM HBAR as examples of digital commodities. Read those two developments together. For the first time, I can look at a federal framework where a real tokenized U.S. stock and assets like XRP, XLM or HBAR can potentially exist on opposite sides of the same regulated onchain market. Think: Tokenized stock / XRP Tokenized stock / XLM Tokenized stock / HBAR The real opportunity is not a few network fees. It is liquidity. If a professional market maker supports one of those pools, it needs inventory of the paired asset. That is a completely different type of demand. And these three ecosystems have not been sitting around waiting for tokenization to arrive. Ripple and Aviva Investors are already exploring traditional fund tokenization on XRPL. XRPL has native trading infrastructure, AMMs, credentials, permissioning and tokenization tools. Stellar already hosts roughly $4B in tokenized assets, and DTCC/DTC plans to connect its tokenization service to Stellar, with Russell 1000 stocks, major ETFs and U.S. Treasuries among the asset classes being evaluated. Then Hedera already has Archax, with 100+ tokenized assets and $300M+ in value across names including Aberdeen, State Street, Fidelity International, Legal & General and BlackRock-related fund exposure. Lloyds Banking Group has already used tokenized assets on Hedera as collateral for FX activity. That is why this SEC move feels different to me. These networks spent years building the rails. Now U.S. regulation is starting to create an actual market structure where stocks can move onchain and non-security crypto assets can sit directly beside them as liquidity pairs. That is a much bigger story than “tokenization is bullish.” This is traditional securities liquidity and crypto liquidity beginning to meet. $XRP, $XLM and $HBAR are already standing at that intersection. Which digital commodity gets chosen for the first REAL tokenized-stock liquidity pair?
1:25

🚨SEC OFFICIALLY GREENLIT TOKENIZED U.S. STOCK TRADING🚨 $XRP, $XLM and $HBAR have been building toward this moment for years. I went through the actual SEC order, and one detail changes how I look at all three. The SEC’s new five-year Innovation Exemption allows qualifying Tokenized Securities Venues to trade real tokenized U.S. stocks through permissioned AMMs and liquidity pools on public blockchains. These tokenized shares must preserve the rights of the underlying stock. But here is the part that matters for crypto. A tokenized U.S. stock can be paired with a non-security crypto asset. And the SEC specifically says the exemption does not limit which type of non-security crypto asset a venue can choose. Now go back six months. The SEC’s March interpretation explicitly listed: XRP XLM HBAR as examples of digital commodities. Read those two developments together. For the first time, I can look at a federal framework where a real tokenized U.S. stock and assets like XRP, XLM or HBAR can potentially exist on opposite sides of the same regulated onchain market. Think: Tokenized stock / XRP Tokenized stock / XLM Tokenized stock / HBAR The real opportunity is not a few network fees. It is liquidity. If a professional market maker supports one of those pools, it needs inventory of the paired asset. That is a completely different type of demand. And these three ecosystems have not been sitting around waiting for tokenization to arrive. Ripple and Aviva Investors are already exploring traditional fund tokenization on XRPL. XRPL has native trading infrastructure, AMMs, credentials, permissioning and tokenization tools. Stellar already hosts roughly $4B in tokenized assets, and DTCC/DTC plans to connect its tokenization service to Stellar, with Russell 1000 stocks, major ETFs and U.S. Treasuries among the asset classes being evaluated. Then Hedera already has Archax, with 100+ tokenized assets and $300M+ in value across names including Aberdeen, State Street, Fidelity International, Legal & General and BlackRock-related fund exposure. Lloyds Banking Group has already used tokenized assets on Hedera as collateral for FX activity. That is why this SEC move feels different to me. These networks spent years building the rails. Now U.S. regulation is starting to create an actual market structure where stocks can move onchain and non-security crypto assets can sit directly beside them as liquidity pairs. That is a much bigger story than “tokenization is bullish.” This is traditional securities liquidity and crypto liquidity beginning to meet. $XRP, $XLM and $HBAR are already standing at that intersection. Which digital commodity gets chosen for the first REAL tokenized-stock liquidity pair?

X Finance Bull

79,522 görüntüleme • 10 gün önce

Three countries making moves tied to XRP at the same time is turning heads—and many believe it’s no coincidence. With XRP holding strong around the $1.30 support zone, momentum is building for a much bigger move. If adoption and market sentiment continue to align, the path toward $5 becomes a serious conversation. As XRP preparing for the rally, Artificial intelligence is reshaping industries at an incredible pace, unlocking new possibilities for communication, automation, and digital experiences. That is where Anonix stands out. By combining the power of AI with decentralized infrastructure, Anonix is building a smarter and more open digital future. Built on the XRP Ledger, the platform benefits from fast transaction speeds, low costs, and the scalability needed for real-world adoption. Projects like Anonix show that the future of the web does not have to be centralized. It can be smarter, faster, and built for everyone.
3:02

Three countries making moves tied to XRP at the same time is turning heads—and many believe it’s no coincidence. With XRP holding strong around the $1.30 support zone, momentum is building for a much bigger move. If adoption and market sentiment continue to align, the path toward $5 becomes a serious conversation. As XRP preparing for the rally, Artificial intelligence is reshaping industries at an incredible pace, unlocking new possibilities for communication, automation, and digital experiences. That is where Anonix stands out. By combining the power of AI with decentralized infrastructure, Anonix is building a smarter and more open digital future. Built on the XRP Ledger, the platform benefits from fast transaction speeds, low costs, and the scalability needed for real-world adoption. Projects like Anonix show that the future of the web does not have to be centralized. It can be smarter, faster, and built for everyone.

Skipper | XRPL

35,682 görüntüleme • 5 ay önce

I’m currently watching Raoul Pal's latest RV podcast on crypto in 2026, and the summary is 2026 is the year of AI He said "Barry Silbert is going to be right, and $TAO is gonna go up" I found it quite funny that most of the things and features they were talking about already exists on Bittensor They highlighted > data marketplaces > owning your data and selling it to models > AI integrated into trading, analytics, and decision-making > Claude-like models being plugged directly into products And said they haven’t really seen this done properly on a blockchain level yet That's the thing alot of people are missing Because the blockchain that’s already decentralizing intelligence and incentivizing it is Bittensor What they’re describing for 2026 already exists on TAO The only problem is how to go bigger and drive adoption > decentralized data and intelligence markets > open competition between models > real incentives for performance > AI systems that can plug into finance, research, prediction, and analytics Even the “Claude integration” they talked about? We already see dope models being used inside subnets, competing, evaluated, and rewarded openly. This is why the Bitcoin 2012 comparison keeps coming up Small builder community High signal Hard to understand No clear valuation framework yet But the difference this time is that the asset isn’t money It’s intelligence $TAO is still under $300, way cheaper than $ZEC right now Not holding TAO long term, while the world is clearly moving toward AI-native economies, is a dumb mistake at The question isn’t if intelligence becomes decentralized It’s who owns the rails when it does So far, only one network is actually building that Bittensor ($TAO)
1:00

I’m currently watching Raoul Pal's latest RV podcast on crypto in 2026, and the summary is 2026 is the year of AI He said "Barry Silbert is going to be right, and $TAO is gonna go up" I found it quite funny that most of the things and features they were talking about already exists on Bittensor They highlighted > data marketplaces > owning your data and selling it to models > AI integrated into trading, analytics, and decision-making > Claude-like models being plugged directly into products And said they haven’t really seen this done properly on a blockchain level yet That's the thing alot of people are missing Because the blockchain that’s already decentralizing intelligence and incentivizing it is Bittensor What they’re describing for 2026 already exists on TAO The only problem is how to go bigger and drive adoption > decentralized data and intelligence markets > open competition between models > real incentives for performance > AI systems that can plug into finance, research, prediction, and analytics Even the “Claude integration” they talked about? We already see dope models being used inside subnets, competing, evaluated, and rewarded openly. This is why the Bitcoin 2012 comparison keeps coming up Small builder community High signal Hard to understand No clear valuation framework yet But the difference this time is that the asset isn’t money It’s intelligence $TAO is still under $300, way cheaper than $ZEC right now Not holding TAO long term, while the world is clearly moving toward AI-native economies, is a dumb mistake at The question isn’t if intelligence becomes decentralized It’s who owns the rails when it does So far, only one network is actually building that Bittensor ($TAO)

Angry Davee

10,613 görüntüleme • 8 ay önce

The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.
1:06

The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.

Six Five Media

7,422,478 görüntüleme • 6 ay önce