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VAAP Highlights: Devium, built on zkPass. Devium enables private order data + AI by storing users' order data on Devium's decentralized network nodes. It categorizes the data into vertical sectors and trains specialized AI large models for these vertical domains. These large models support enterprise operations, product development, and...

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zkPass

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10,856 görüntüleme • 5 ay önce •via X (Twitter)

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VAAP product highlight: zKYC zKYC, built on top of zkPass. zKYC enables privacy-first KYC using zero-knowledge proofs, letting users prove compliance without exposing or storing raw identity data. It replaces data custody with verifiable proofs, reducing risk for platforms and friction for users. VAAP (Verifiable Application Acceleration Program) supports teams building real-world applications on verifiable infrastructure like zkTLS.
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VAAP product highlight: zKYC zKYC, built on top of zkPass. zKYC enables privacy-first KYC using zero-knowledge proofs, letting users prove compliance without exposing or storing raw identity data. It replaces data custody with verifiable proofs, reducing risk for platforms and friction for users. VAAP (Verifiable Application Acceleration Program) supports teams building real-world applications on verifiable infrastructure like zkTLS.

zkPass

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We’ve officially landed on Story. zkPass now empowers Story builders to tap into hundreds of web data sources — while enabling users to generate zero-knowledge proofs without ever revealing their data. With 200M+ computations and 10M+ attestations processed, zkPass now extends trust and privacy to the world of onchain IP. Welcome to the Verifiable Internet. ✅ 🌐
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We’ve officially landed on Story. zkPass now empowers Story builders to tap into hundreds of web data sources — while enabling users to generate zero-knowledge proofs without ever revealing their data. With 200M+ computations and 10M+ attestations processed, zkPass now extends trust and privacy to the world of onchain IP. Welcome to the Verifiable Internet. ✅ 🌐

zkPass

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Highlights of the OpenLedger journey: OpenLedger is the AI Blockchain unlocking liquidity for data, models, and agents, backed by Polychain, Balaji Srinivasan (ex-Coinbase CTO), and more. $14.7M+ in revenue from global enterprise projects and $91M+ in investment commitments secured. Worked with global enterprises like Walmart, Sony, Meta LLaMA, Viacom, and others. Built on Stanford’s data attribution research paper, enabling verifiable, fair rewards for contributors. 40+ projects, including ex-Google DeepMind teams and top DeFi builders, are building specialized AI models. 1M+ AI nodes, 25M+ transactions, and 20K+ models, real-world usage at scale.
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Highlights of the OpenLedger journey: OpenLedger is the AI Blockchain unlocking liquidity for data, models, and agents, backed by Polychain, Balaji Srinivasan (ex-Coinbase CTO), and more. $14.7M+ in revenue from global enterprise projects and $91M+ in investment commitments secured. Worked with global enterprises like Walmart, Sony, Meta LLaMA, Viacom, and others. Built on Stanford’s data attribution research paper, enabling verifiable, fair rewards for contributors. 40+ projects, including ex-Google DeepMind teams and top DeFi builders, are building specialized AI models. 1M+ AI nodes, 25M+ transactions, and 20K+ models, real-world usage at scale.

OpenLedger

734,448 görüntüleme • 11 ay önce

Introducing: Advanced Data Assets™ By LayerAI 🧬 Data is used to power Big Data and AI. The increasing demand for high quality data to improve AI models will lead to new companies creating value in the global data market. The problem: current data collection methods make data fall short of its true potential. Data is limited. Building a decentralized solution where users choose to productize and earn from their data opens untapped sources of income. 🌐 Creating Advanced Data Assets™ There exists a market opportunity to create a digital blockchain-based global data marketplace. Data collected using our nodes, our native network apps, settled on LayerAI. The Advanced Data. Meet the Ecosystem that empowers users to participate in the Data Economy.
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Introducing: Advanced Data Assets™ By LayerAI 🧬 Data is used to power Big Data and AI. The increasing demand for high quality data to improve AI models will lead to new companies creating value in the global data market. The problem: current data collection methods make data fall short of its true potential. Data is limited. Building a decentralized solution where users choose to productize and earn from their data opens untapped sources of income. 🌐 Creating Advanced Data Assets™ There exists a market opportunity to create a digital blockchain-based global data marketplace. Data collected using our nodes, our native network apps, settled on LayerAI. The Advanced Data. Meet the Ecosystem that empowers users to participate in the Data Economy.

LayerAI | AI2Earn

27,136 görüntüleme • 2 yıl önce

Chainbase 🤝 Assisterr We're joining forces with assisterr to redefine how AI and data interact in decentralized ecosystems. By merging Chainbase’s decentralized data infrastructure with Assisterr’s task-specific SLMs, we’re empowering communities and developers to create specialized AI models rooted in transparent, incentivized, and collaborative data workflows. Building on our four pillars—open-source access, incentivization, collaboration, and AI readiness—this partnership delivers streamlined, high-quality data pipelines for more effective, privacy-respecting AI development. We can’t wait to see developers leverage these capabilities to build practical, impactful solutions advancing Web3 and AI. To learn more, join us for the "Chainbase Discord Call - AI Agent Edition" on December 18th, where we’ll host an in-depth discussion with the Assisterr team. Read the full partnership announcement:
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Chainbase 🤝 Assisterr We're joining forces with assisterr to redefine how AI and data interact in decentralized ecosystems. By merging Chainbase’s decentralized data infrastructure with Assisterr’s task-specific SLMs, we’re empowering communities and developers to create specialized AI models rooted in transparent, incentivized, and collaborative data workflows. Building on our four pillars—open-source access, incentivization, collaboration, and AI readiness—this partnership delivers streamlined, high-quality data pipelines for more effective, privacy-respecting AI development. We can’t wait to see developers leverage these capabilities to build practical, impactful solutions advancing Web3 and AI. To learn more, join us for the "Chainbase Discord Call - AI Agent Edition" on December 18th, where we’ll host an in-depth discussion with the Assisterr team. Read the full partnership announcement:

Chainbase (💜,💛)

100,478 görüntüleme • 1 yıl önce

👁️‍🗨️ The identity season has arrived. Meet Moca Chain — a modular, chain-agnostic, EVM-compatible Layer 1 purpose-built for identity and data, utilizing zero-knowledge proofs for privacy - powered by $MOCA. We’re building the world’s largest identity network with AIR Kit as the entry point to Moca Chain, where identity protocols and user-centric apps can build on and share a common network of data, users, and applications. 🧵
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👁️‍🗨️ The identity season has arrived. Meet Moca Chain — a modular, chain-agnostic, EVM-compatible Layer 1 purpose-built for identity and data, utilizing zero-knowledge proofs for privacy - powered by $MOCA. We’re building the world’s largest identity network with AIR Kit as the entry point to Moca Chain, where identity protocols and user-centric apps can build on and share a common network of data, users, and applications. 🧵

Moca Network

337,455 görüntüleme • 1 yıl önce

Excited to welcome DIA as the second X1 EcoChain grant recipient. DIA Oracles is a decentralized oracle platform delivering transparent and verifiable data for the crypto industry. This partnership turbocharges the X1 EcoChain infrastructure, enabling builders to launch bold DeFi projects, real-world asset applications, and advanced data-driven dApps - fully decentralized and trust-minimized. 👨‍💻Developers on X1 EcoChain gain access to trustless price feeds and reliable on-chain data, accelerating the development of robust applications and financial infrastructure. 👥 Users, in turn, benefit from more accurate pricing, stronger protocol security, and greater trust in the applications they use every day. The X1 EcoChain Grant Program continues to support projects building core infrastructure and driving real adoption across the X1 EcoChain ecosystem and DIA is a strong example of this mission in action.
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Excited to welcome DIA as the second X1 EcoChain grant recipient. DIA Oracles is a decentralized oracle platform delivering transparent and verifiable data for the crypto industry. This partnership turbocharges the X1 EcoChain infrastructure, enabling builders to launch bold DeFi projects, real-world asset applications, and advanced data-driven dApps - fully decentralized and trust-minimized. 👨‍💻Developers on X1 EcoChain gain access to trustless price feeds and reliable on-chain data, accelerating the development of robust applications and financial infrastructure. 👥 Users, in turn, benefit from more accurate pricing, stronger protocol security, and greater trust in the applications they use every day. The X1 EcoChain Grant Program continues to support projects building core infrastructure and driving real adoption across the X1 EcoChain ecosystem and DIA is a strong example of this mission in action.

X1 EcoChain

26,860 görüntüleme • 5 ay önce

Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! --- Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough. Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more! Both built on top of Snorkel AI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value. If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! Finally, see thread for details on 🧵👇 - 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task - 📅 An upcoming event on Enterprise Agentic AI with innovators from Accenture @BNY Comcast Stanford University QBE & others - 📊 An upcoming series of benchmark datasets and model artifact releases 👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!
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Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! --- Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough. Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more! Both built on top of Snorkel AI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value. If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! Finally, see thread for details on 🧵👇 - 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task - 📅 An upcoming event on Enterprise Agentic AI with innovators from Accenture @BNY Comcast Stanford University QBE & others - 📊 An upcoming series of benchmark datasets and model artifact releases 👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!

Alex Ratner

49,964 görüntüleme • 1 yıl önce

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership
29:51

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership

Matrix AI Network

60,855 görüntüleme • 1 ay önce

Today, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge. 🌎 Forge bridges the gap between generic AI and enterprise-specific needs. Instead of relying on broad, public data, organizations can train models that understand their internal context embedded within systems, workflows, and policies, aligning AI with their unique operations. We have already partnered with world-leading organizations, like ASML, DSO National Laboratories Singapore, Ericsson, European Space Agency, Home Team Science and Technology Agency (HTX) Singapore and Reply to train models on the proprietary data that powers their most complex systems and future-defining technologies.
1:28

Today, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge. 🌎 Forge bridges the gap between generic AI and enterprise-specific needs. Instead of relying on broad, public data, organizations can train models that understand their internal context embedded within systems, workflows, and policies, aligning AI with their unique operations. We have already partnered with world-leading organizations, like ASML, DSO National Laboratories Singapore, Ericsson, European Space Agency, Home Team Science and Technology Agency (HTX) Singapore and Reply to train models on the proprietary data that powers their most complex systems and future-defining technologies.

Mistral AI

439,842 görüntüleme • 4 ay önce

The $KLED Enterprise Portal Full Demo – Search and License Any Data in Seconds: For the last 6 weeks, we've had thousands of users sign up for the first data marketplace. We've paid out over $200,000 to them for uploading their camera rolls, homework, dashcam footage, etc. We've now amassed petabytes and petabytes of data from these users and large enterprises, and tagged it all with rich metadata. Now OpenAI, xAI, Google AI, or any other large lab can easily search and license that data using our newly completed enterprise portal. If you're a large lab, send me a DM and get access to the largest, never-before-seen consumer dataset on the planet. This is the biggest update for Kled since launch.
4:40

The $KLED Enterprise Portal Full Demo – Search and License Any Data in Seconds: For the last 6 weeks, we've had thousands of users sign up for the first data marketplace. We've paid out over $200,000 to them for uploading their camera rolls, homework, dashcam footage, etc. We've now amassed petabytes and petabytes of data from these users and large enterprises, and tagged it all with rich metadata. Now OpenAI, xAI, Google AI, or any other large lab can easily search and license that data using our newly completed enterprise portal. If you're a large lab, send me a DM and get access to the largest, never-before-seen consumer dataset on the planet. This is the biggest update for Kled since launch.

Avi Patel

91,697 görüntüleme • 1 yıl önce

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning
1:11

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning

Alex Ratner

495,851 görüntüleme • 1 yıl önce

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.
2:00

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

King

155,637 görüntüleme • 7 ay önce

🔥🔥A NEW INFRASTRUCTURE LAYER FOR AI IN THE WEB3 ERA - 🟢#SaharasAI is the first full-stack AI-native platform on blockchain, offering a decentralized framework for creating, distributing, and monetizing AI models and datasets. The project is built around the principle of open access, privacy by design, and user-owned intelligence. 🔍 Key Differentiators: ✅ AI-Native Infrastructure: A modular stack covering compute, model, and data layers ✅ Cross-Chain Compatibility: Seamless deployment across multiple blockchain environments ✅ Monetization First: Built-in tools to tokenize, sell, and reward AI contributions ✅ ZK-Based Privacy: Zero-knowledge proofs for secure, verifiable computation and data usage 💼 Backed by Leading Institutions: YZi Labs, Microsoft, Amazon, Pantera Capital, Sequoia Capital... ⭐️ Community Sale on Buidlpad that WLFI refered about: ⏰ Date: June 8–11, 2025 💰 Price: $0.15/token 🎯 Allocation per user: $50 – $3,000 💳 Payment: USD1 or BNB ✅ KYC required 📎 Learn more: $SAHARA #SAHARA #buidlpad #AIforALL
0:20

🔥🔥A NEW INFRASTRUCTURE LAYER FOR AI IN THE WEB3 ERA - 🟢#SaharasAI is the first full-stack AI-native platform on blockchain, offering a decentralized framework for creating, distributing, and monetizing AI models and datasets. The project is built around the principle of open access, privacy by design, and user-owned intelligence. 🔍 Key Differentiators: ✅ AI-Native Infrastructure: A modular stack covering compute, model, and data layers ✅ Cross-Chain Compatibility: Seamless deployment across multiple blockchain environments ✅ Monetization First: Built-in tools to tokenize, sell, and reward AI contributions ✅ ZK-Based Privacy: Zero-knowledge proofs for secure, verifiable computation and data usage 💼 Backed by Leading Institutions: YZi Labs, Microsoft, Amazon, Pantera Capital, Sequoia Capital... ⭐️ Community Sale on Buidlpad that WLFI refered about: ⏰ Date: June 8–11, 2025 💰 Price: $0.15/token 🎯 Allocation per user: $50 – $3,000 💳 Payment: USD1 or BNB ✅ KYC required 📎 Learn more: $SAHARA #SAHARA #buidlpad #AIforALL

BD GemX

22,815 görüntüleme • 1 yıl önce

Japanese Prime Minister Sanae Takaichi has outlined Japan’s AI roadmap: Core advantage: Japan’s massive real-world industrial data from manufacturing, logistics, and infrastructure. Major investment: 80 trillion Japanese yen (around $500 billion) in public and private investment into Physical AI, including semiconductors, by 2040. Reducing dependence: The Frontier Project aims to build Japan’s own multimodal Physical AI foundation model and reduce reliance on foreign AI models.
2:25

Japanese Prime Minister Sanae Takaichi has outlined Japan’s AI roadmap: Core advantage: Japan’s massive real-world industrial data from manufacturing, logistics, and infrastructure. Major investment: 80 trillion Japanese yen (around $500 billion) in public and private investment into Physical AI, including semiconductors, by 2040. Reducing dependence: The Frontier Project aims to build Japan’s own multimodal Physical AI foundation model and reduce reliance on foreign AI models.

Marcos Crypto

47,498 görüntüleme • 9 gün önce

ᴛʜᴇ ɴᴇxᴛ ᴇʀᴀ ᴏꜰ ᴅᴇᴄᴇɴᴛʀᴀʟɪᴢᴇᴅ ᴅᴀᴛᴀ ᴀɴᴅ ᴡɪɴᴋʟɪɴᴋ ᴏʀᴀᴄʟᴇ ɴᴇᴛᴡᴏʀᴋꜱ In today’s podcast breakdown, we explored how decentralized oracles and emerging OCR technology are transforming the way blockchains interact with the real world. ❇️ ᴡʜʏ ᴅᴇᴄᴇɴᴛʀᴀʟɪᴢᴇᴅ ᴅᴀᴛᴀ ɪꜱ ᴄʀᴜᴄɪᴀʟ One of blockchain’s biggest limitations has always been isolation smart contracts couldn’t access real-world information on their own. Decentralized Oracle like WINkLink solve this by delivering secure, verifiable data from off-chain sources directly to dApps. This unlocks: ➩ trustless financial automation ➩ real-world event settlements ➩ decentralized insurance, logistics & prediction markets ➩ verifiable randomness for gaming ➩ real-time data-driven smart contracts It’s the bridge that connects blockchain to reality. ❇️ ᴛʜᴇ ᴘᴏᴡᴇʀ ᴏꜰ ᴏꜰꜰ-ᴄʜᴀɪɴ ʀᴇᴘᴏʀᴛɪɴɢ (OCR) OCR represents a major leap forward for oracle networks. Instead of sending multiple on-chain transactions, participating nodes aggregate their data off-chain, reach consensus, and submit one verified report. This means: ➜ drastically lower fees ➜ faster, more scalable data delivery ➜ stronger decentralization ➜ reduced manipulation risks ➜ more frequent and higher-quality data feeds As OCR moves out of beta, it could become the new standard for decentralized data infrastructure. ❇️ ᴡʜᴀᴛ ᴄᴏᴜʟᴅ ᴛʜɪꜱ ᴜɴʟᴏᴄᴋ? With reliable, cryptographically verified external data, blockchains can evolve into autonomous systems capable of interacting with the real world. Potential new categories include: ✦ self-regulating DAOs reacting to real-time metrics ✦ autonomous “micro-economies” powered by data ✦ AI × blockchain hybrid systems ✦ on-chain reputation and identity primitives ✦ next-gen DeFi products across global markets We’re moving toward an internet where trust is based on verification, not authority. ❇️ ᴛʜᴇ ʙɪɢɢᴇʀ ɪᴍᴘᴀᴄᴛ ᴏɴ ᴛʀᴜꜱᴛ ᴏɴʟɪɴᴇ As decentralized oracle networks grow: ➜data becomes more transparent ➜manipulation becomes harder ➜applications become more autonomous ➜cross-chain ecosystems become more interoperable The result? A new digital world where truth is cryptographically proven not assumed. What do you think about the future of decentralized data? Will OCR and WinkLink Oracle networks redefine Web3 infrastructure? WINkLink H.E. Justin Sun 👨‍🚀 🌞 #Oracles #WINkLink #TRONEcoStar
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ᴛʜᴇ ɴᴇxᴛ ᴇʀᴀ ᴏꜰ ᴅᴇᴄᴇɴᴛʀᴀʟɪᴢᴇᴅ ᴅᴀᴛᴀ ᴀɴᴅ ᴡɪɴᴋʟɪɴᴋ ᴏʀᴀᴄʟᴇ ɴᴇᴛᴡᴏʀᴋꜱ In today’s podcast breakdown, we explored how decentralized oracles and emerging OCR technology are transforming the way blockchains interact with the real world. ❇️ ᴡʜʏ ᴅᴇᴄᴇɴᴛʀᴀʟɪᴢᴇᴅ ᴅᴀᴛᴀ ɪꜱ ᴄʀᴜᴄɪᴀʟ One of blockchain’s biggest limitations has always been isolation smart contracts couldn’t access real-world information on their own. Decentralized Oracle like WINkLink solve this by delivering secure, verifiable data from off-chain sources directly to dApps. This unlocks: ➩ trustless financial automation ➩ real-world event settlements ➩ decentralized insurance, logistics & prediction markets ➩ verifiable randomness for gaming ➩ real-time data-driven smart contracts It’s the bridge that connects blockchain to reality. ❇️ ᴛʜᴇ ᴘᴏᴡᴇʀ ᴏꜰ ᴏꜰꜰ-ᴄʜᴀɪɴ ʀᴇᴘᴏʀᴛɪɴɢ (OCR) OCR represents a major leap forward for oracle networks. Instead of sending multiple on-chain transactions, participating nodes aggregate their data off-chain, reach consensus, and submit one verified report. This means: ➜ drastically lower fees ➜ faster, more scalable data delivery ➜ stronger decentralization ➜ reduced manipulation risks ➜ more frequent and higher-quality data feeds As OCR moves out of beta, it could become the new standard for decentralized data infrastructure. ❇️ ᴡʜᴀᴛ ᴄᴏᴜʟᴅ ᴛʜɪꜱ ᴜɴʟᴏᴄᴋ? With reliable, cryptographically verified external data, blockchains can evolve into autonomous systems capable of interacting with the real world. Potential new categories include: ✦ self-regulating DAOs reacting to real-time metrics ✦ autonomous “micro-economies” powered by data ✦ AI × blockchain hybrid systems ✦ on-chain reputation and identity primitives ✦ next-gen DeFi products across global markets We’re moving toward an internet where trust is based on verification, not authority. ❇️ ᴛʜᴇ ʙɪɢɢᴇʀ ɪᴍᴘᴀᴄᴛ ᴏɴ ᴛʀᴜꜱᴛ ᴏɴʟɪɴᴇ As decentralized oracle networks grow: ➜data becomes more transparent ➜manipulation becomes harder ➜applications become more autonomous ➜cross-chain ecosystems become more interoperable The result? A new digital world where truth is cryptographically proven not assumed. What do you think about the future of decentralized data? Will OCR and WinkLink Oracle networks redefine Web3 infrastructure? WINkLink H.E. Justin Sun 👨‍🚀 🌞 #Oracles #WINkLink #TRONEcoStar

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