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✨🇨🇳Many schools in China use AI systems to grade homework. These systems scan, grade, print annotated homework, saving teachers time for targeted tutoring and accurately identifying students' weak points. They’re good teaching partners, not replacements.

🇨🇳XuZhenqing徐祯卿

40,130 subscribers

796,763 просмотров • 7 месяцев назад •via X (Twitter)

Образование Здоровье и велнес Наука и технологии

Anya Rossi• Live Now

Private livecam show

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After 200+ days of obsessive testing, I finally built the most effective AI Automation playbook on the internet. (worth $100K+ in system builds) while I was watching people panic about "AI taking over," I was quietly building the systems that actually use it to print money. these are the exact infrastructures we've battle-tested to drive: → 1,000s of qualified leads → 4M+ impressions → 30K+ followers → real revenue (not just vanity metrics) here's what the full stack includes: – world-class n8n AI agents that never break – MCP-powered content automation engines – follow-up sales agents that actually close – multi-channel outreach flows – lead capture, enrichment & activation systems – CRM sync + sales infrastructure – state-of-the-art workflow architectures this isn't some recycled template dump. these are hand-crafted, production-grade systems running in my business & with clients pulling real numbers. it's like having the engineering team from SpaceX — but for automations and with way less rocket explosions. all built for scale. all tested in live environments. all documented with step-by-step setup guides. agencies charge $25K-$50K just to build one of these systems. you're getting the entire war chest. Comment "AGENT" + repost this + follow me I'll DM you the complete playbook in the next hour skip this, and go back to copy-pasting YouTube tutorials that break after 3 days.

After 200+ days of obsessive testing, I finally built the most effective AI Automation playbook on the internet. (worth $100K+ in system builds) while I was watching people panic about "AI taking over," I was quietly building the systems that actually use it to print money. these are the exact infrastructures we've battle-tested to drive: → 1,000s of qualified leads → 4M+ impressions → 30K+ followers → real revenue (not just vanity metrics) here's what the full stack includes: – world-class n8n AI agents that never break – MCP-powered content automation engines – follow-up sales agents that actually close – multi-channel outreach flows – lead capture, enrichment & activation systems – CRM sync + sales infrastructure – state-of-the-art workflow architectures this isn't some recycled template dump. these are hand-crafted, production-grade systems running in my business & with clients pulling real numbers. it's like having the engineering team from SpaceX — but for automations and with way less rocket explosions. all built for scale. all tested in live environments. all documented with step-by-step setup guides. agencies charge $25K-$50K just to build one of these systems. you're getting the entire war chest. Comment "AGENT" + repost this + follow me I'll DM you the complete playbook in the next hour skip this, and go back to copy-pasting YouTube tutorials that break after 3 days.

Aryan Mahajan

77,945 просмотров • 1 год назад

A student just sent a humanoid robot to collect his diploma — and I can’t stop thinking about it. In China, a teen built a robot that walked the stage, shook hands, and graduated for him. At first, it seemed funny. Then it felt like a wake-up call. We’re still teaching students to memorize — while they’re out there building the future. If a student can graduate through a robot, maybe it’s time schools start catching up. Innovation or rebellion — what do you think? #AI #Education #Innovation #Robotics #FutureOfWork #Technology

A student just sent a humanoid robot to collect his diploma — and I can’t stop thinking about it. In China, a teen built a robot that walked the stage, shook hands, and graduated for him. At first, it seemed funny. Then it felt like a wake-up call. We’re still teaching students to memorize — while they’re out there building the future. If a student can graduate through a robot, maybe it’s time schools start catching up. Innovation or rebellion — what do you think? #AI #Education #Innovation #Robotics #FutureOfWork #Technology

Pascal Bornet

229,853 просмотров • 8 месяцев назад

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Shishir

13,564 просмотров • 1 год назад

‼️🇯🇵🇨🇳 BREAKING - Due to the threat from China, Japan will allocate an additional $5.4 billion in its 2025 budget for missiles and ships. Japan’s government has approved an additional $5.4 billion in 2025 to purchase extra ships and anti-ship systems. The corresponding document was published by Japan’s Ministry of Defense. The supplementary budget is allocated separately from the main defense funding. Specifically, $370 million is allocated for the acquisition of SSM-2 anti-ship missiles and Type-12 coastal defense missile systems. It is noteworthy that the missiles planned for delivery are not long-range versions — their maximum range will be up to 250 km. Japan will also purchase Type-03 Kai medium-range surface-to-air missile systems. The systems will be deployed on Yonaguni Island, located about 110 km from Taiwan. In total, Japan’s Ministry of Defense plans to acquire 29 batteries of the new surface-to-air missile systems. At the same time, about $800 million will be directed primarily toward accelerating orders for the construction of military vessels — specifically, multi-purpose frigates and submarines. In addition, part of the budget will accelerate purchases of UH-2 multi-role helicopters produced by Subaru. It should be recalled that the adjustment of Japan’s military budget is taking place in the context of the threat coming from China, especially following the national-security comments of Prime Minister Sanae Takaichi, who emphasized that a Chinese attack on Taiwan would threaten Japan itself, and that Tokyo might become a party to this conflict. For this reason, China has intensified its propaganda campaign, accusing Japan of returning to militarism and imperialist approaches. Moreover, in recent days, incidents involving increased activity of Chinese forces near Japanese territory have become more frequent. In response to China’s increased violations of Japan’s borders, both at sea and in the air, Japan’s Ministry of Defense announced the deployment of Type-03 air-defense batteries and electronic warfare systems on Yonaguni Island, 110 km from Taiwan — a move that sparked even greater dissatisfaction in Beijing. Japan’s multi-billion-dollar special boost, aimed at rapidly strengthening its military capabilities, suggests that geopolitical tectonic shifts may soon begin in East Asia and across the Indo-Pacific basin. Furthermore, the strengthening of Yonaguni Island — and Japan’s effort to turn it into an “unsinkable aircraft carrier” — signals that Japan does not intend to passively wait while China begins its struggle for state hegemony through the use of hard power, which would primarily affect neighboring states. See the latest updates with us: Visioner

‼️🇯🇵🇨🇳 BREAKING - Due to the threat from China, Japan will allocate an additional $5.4 billion in its 2025 budget for missiles and ships. Japan’s government has approved an additional $5.4 billion in 2025 to purchase extra ships and anti-ship systems. The corresponding document was published by Japan’s Ministry of Defense. The supplementary budget is allocated separately from the main defense funding. Specifically, $370 million is allocated for the acquisition of SSM-2 anti-ship missiles and Type-12 coastal defense missile systems. It is noteworthy that the missiles planned for delivery are not long-range versions — their maximum range will be up to 250 km. Japan will also purchase Type-03 Kai medium-range surface-to-air missile systems. The systems will be deployed on Yonaguni Island, located about 110 km from Taiwan. In total, Japan’s Ministry of Defense plans to acquire 29 batteries of the new surface-to-air missile systems. At the same time, about $800 million will be directed primarily toward accelerating orders for the construction of military vessels — specifically, multi-purpose frigates and submarines. In addition, part of the budget will accelerate purchases of UH-2 multi-role helicopters produced by Subaru. It should be recalled that the adjustment of Japan’s military budget is taking place in the context of the threat coming from China, especially following the national-security comments of Prime Minister Sanae Takaichi, who emphasized that a Chinese attack on Taiwan would threaten Japan itself, and that Tokyo might become a party to this conflict. For this reason, China has intensified its propaganda campaign, accusing Japan of returning to militarism and imperialist approaches. Moreover, in recent days, incidents involving increased activity of Chinese forces near Japanese territory have become more frequent. In response to China’s increased violations of Japan’s borders, both at sea and in the air, Japan’s Ministry of Defense announced the deployment of Type-03 air-defense batteries and electronic warfare systems on Yonaguni Island, 110 km from Taiwan — a move that sparked even greater dissatisfaction in Beijing. Japan’s multi-billion-dollar special boost, aimed at rapidly strengthening its military capabilities, suggests that geopolitical tectonic shifts may soon begin in East Asia and across the Indo-Pacific basin. Furthermore, the strengthening of Yonaguni Island — and Japan’s effort to turn it into an “unsinkable aircraft carrier” — signals that Japan does not intend to passively wait while China begins its struggle for state hegemony through the use of hard power, which would primarily affect neighboring states. See the latest updates with us: Visioner

Visioner

127,878 просмотров • 8 месяцев назад

🚨 THE RACE TO 6G JUST ACCELERATED. Northrop Grumman has developed a W-band GaN chip operating at up to 110 GHz and took it from concept to market-ready hardware in less than six months. The new gallium nitride chip operates in the W-band (75–110 GHz), a frequency range that delivers massive bandwidth, extremely high data rates, and much lower latency than current systems. What makes this impressive is the speed: the chip went from concept to market-ready hardware in less than six months through a U.S. government-backed microelectronics program. That’s unusually fast for advanced defense-grade semiconductors. The chip acts as a high-power signal amplifier that can strengthen wireless links while shrinking the size and power consumption of the hardware. It’s designed for military radar, secure satellite communications, and the coming wave of 6G networks. Why this matters: • W-band offers far more spectrum than current 5G bands, enabling much faster data transmission and higher-resolution sensing • Gallium nitride can handle significantly higher power and frequencies than silicon, making it ideal for these demanding applications • The rapid development cycle shows how public-private collaboration can accelerate critical semiconductor technologies • The same tech that strengthens military radar and satellite links will directly feed into future commercial 6G infrastructure The deeper implication: We’re watching the foundation of next-generation wireless and sensing systems being laid in real time. High-frequency GaN chips like this won’t just improve existing radar and satellite systems they’re likely to become core building blocks for 6G, autonomous systems, and advanced defense platforms. The fact that this moved from lab to market in under six months suggests the pace of high-frequency electronics is accelerating dramatically. The future of wireless isn’t just faster. It’s operating at frequencies most people have never heard of and it’s being built right now. How soon do you think W-band and GaN technology will start appearing in everyday 6G devices? Follow for more frontier semiconductors, defense tech, and next-generation wireless systems.

🚨 THE RACE TO 6G JUST ACCELERATED. Northrop Grumman has developed a W-band GaN chip operating at up to 110 GHz and took it from concept to market-ready hardware in less than six months. The new gallium nitride chip operates in the W-band (75–110 GHz), a frequency range that delivers massive bandwidth, extremely high data rates, and much lower latency than current systems. What makes this impressive is the speed: the chip went from concept to market-ready hardware in less than six months through a U.S. government-backed microelectronics program. That’s unusually fast for advanced defense-grade semiconductors. The chip acts as a high-power signal amplifier that can strengthen wireless links while shrinking the size and power consumption of the hardware. It’s designed for military radar, secure satellite communications, and the coming wave of 6G networks. Why this matters: • W-band offers far more spectrum than current 5G bands, enabling much faster data transmission and higher-resolution sensing • Gallium nitride can handle significantly higher power and frequencies than silicon, making it ideal for these demanding applications • The rapid development cycle shows how public-private collaboration can accelerate critical semiconductor technologies • The same tech that strengthens military radar and satellite links will directly feed into future commercial 6G infrastructure The deeper implication: We’re watching the foundation of next-generation wireless and sensing systems being laid in real time. High-frequency GaN chips like this won’t just improve existing radar and satellite systems they’re likely to become core building blocks for 6G, autonomous systems, and advanced defense platforms. The fact that this moved from lab to market in under six months suggests the pace of high-frequency electronics is accelerating dramatically. The future of wireless isn’t just faster. It’s operating at frequencies most people have never heard of and it’s being built right now. How soon do you think W-band and GaN technology will start appearing in everyday 6G devices? Follow for more frontier semiconductors, defense tech, and next-generation wireless systems.

TheNewPhysics

22,647 просмотров • 2 месяцев назад

let me explain what Anthropic just did they built an AI model so good at finding security vulnerabilities that they have refused to release it meet Claude Mythos → it’s Anthropic’s newest frontier model and it’s not available to the public. not because it’s not ready. because it’s too dangerous → Mythos found tens of thousands of zero day vulnerabilities across every major operating system and web browser… many of them 1 to 2 decades old. for context… Opus 4.6 found about 500. Mythos found tens of thousands → it found vulnerabilities in the Linux kernel. a 27 year old vulnerability in OpenBSD. a 16 year old vulnerability in FFmpeg → it doesn’t just find bugs. it writes the exploits too. that’s the part that scared them → so instead of releasing it… Anthropic has created Project Glasswing. a cybersecurity initiative where they hand picked 40+ companies to use Mythos for defense only → the partner list reads like a who’s who of tech… Amazon, Apple, Microsoft, Google, Nvidia, Broadcom, Cisco, CrowdStrike, Palo Alto Networks, JPMorgan, the Linux Foundation → Anthropic is giving up to $100 million in usage credits to these partners and $4 million to open source security organizations → they’re briefing CISA and the Commerce Department on how to handle this → the benchmarks are truly insane… Mythos hit 77.8% on SWE-bench Pro where Opus 4.6 scored 53.4%. hit 93.9% on SWE-bench Verified where Opus 4.6 scored 80.8% → Anthropic’s head of frontier red team said this is “the first time a model is this good that we decided to approach release in a very different way” this is the first time an AI company has held back a model because it was too capable not too expensive. not too slow. too dangerous and instead of locking it in a vault they weaponized it for defense and gave it to the companies that run the internet that’s either the most responsible thing an AI company has ever done… or the scariest only time will tell

let me explain what Anthropic just did they built an AI model so good at finding security vulnerabilities that they have refused to release it meet Claude Mythos → it’s Anthropic’s newest frontier model and it’s not available to the public. not because it’s not ready. because it’s too dangerous → Mythos found tens of thousands of zero day vulnerabilities across every major operating system and web browser… many of them 1 to 2 decades old. for context… Opus 4.6 found about 500. Mythos found tens of thousands → it found vulnerabilities in the Linux kernel. a 27 year old vulnerability in OpenBSD. a 16 year old vulnerability in FFmpeg → it doesn’t just find bugs. it writes the exploits too. that’s the part that scared them → so instead of releasing it… Anthropic has created Project Glasswing. a cybersecurity initiative where they hand picked 40+ companies to use Mythos for defense only → the partner list reads like a who’s who of tech… Amazon, Apple, Microsoft, Google, Nvidia, Broadcom, Cisco, CrowdStrike, Palo Alto Networks, JPMorgan, the Linux Foundation → Anthropic is giving up to $100 million in usage credits to these partners and $4 million to open source security organizations → they’re briefing CISA and the Commerce Department on how to handle this → the benchmarks are truly insane… Mythos hit 77.8% on SWE-bench Pro where Opus 4.6 scored 53.4%. hit 93.9% on SWE-bench Verified where Opus 4.6 scored 80.8% → Anthropic’s head of frontier red team said this is “the first time a model is this good that we decided to approach release in a very different way” this is the first time an AI company has held back a model because it was too capable not too expensive. not too slow. too dangerous and instead of locking it in a vault they weaponized it for defense and gave it to the companies that run the internet that’s either the most responsible thing an AI company has ever done… or the scariest only time will tell

klöss

21,270 просмотров • 4 месяцев назад

I graduated!!! I earned a Bachelor of Arts in Sociology with a concentration in Psychology, summa cum laude! Five years ago, I started this journey with an eighth-grade education, and even that was from a Scientology school, where critical thinking was discouraged and the quality of instruction was subpar, to say the least. I did not get here alone. Thank you to NYU School of Professional Studies and Angie Kamath. Thank you to everyone who supported me, encouraged me, and believed in me, especially on the days I was not sure I could do this. And there were plenty of those days. To my therapist, who told me not to give up when I was told I likely would not be accepted into a prestigious program. To my tutor, without whom I likely would have given up at the harder points along the way. To all those here who have sent me loving messages on social media. And to everyone else who has cheered me on in person through the ups and the downs of it, it means more than I can put into words. It got me over this finish line of being a student again and graduating. That goal once seemed impossible. To those who have asked me, “Why this? Why now?” I pursued higher education to reclaim a piece of myself. When you come out of a high-control group like Scientology, or even a high-control family, there are parts of you that were never allowed to fully develop. Those parts include your curiosity and your ability and right to question. Education was discouraged because knowledge creates confidence in your ability to trust your own mind and navigate the world. That leads to true independence, and that would never be allowed. I wanted that back. But more than that, I needed to understand. I needed to understand how my mother could have us join Scientology when I was just eight years old, and how my family and I could be part of something like this and stay in it for so long. I needed to understand how these systems work, how they influence people, and how they take hold. Without education, access to real information, and support, people can fall into systems that work against their best interests. Some assume that because they are educated, even highly educated, they would never fall for something like this. But it turns out that is not necessarily true. What many of us are impacted by, but never quite understand, is how high-control groups operate. Many still do not understand how misinformation spreads, and how tribalism and radicalization shape what we think, what we believe, and who and what we trust. Without that awareness, none of us are immune. Today, we are seeing how these forces can influence good people and distort reality. History has shown us that this is not new; it just comes in a different form now. Social media connects us in ways we never imagined, but it also creates echo chambers that reinforce beliefs and justify behavior without question. Real critical thinking is hard when we are fed so much by algorithms designed to appeal to us. In learning and achieving this milestone in my own life, it has helped me take a good, hard look at my own beliefs and ideologies. This journey was about healing for me, but also about figuring out how to help others in whatever way I can in the future. So what is in my future? I am considering continuing my education and possibly pursuing a master’s degree, with the goal of contributing to advocacy and policies that protect people, not systems. For now, I am taking this moment in. I am proud of myself. And I am grateful. Thank you for being on this journey with me.

I graduated!!! I earned a Bachelor of Arts in Sociology with a concentration in Psychology, summa cum laude! Five years ago, I started this journey with an eighth-grade education, and even that was from a Scientology school, where critical thinking was discouraged and the quality of instruction was subpar, to say the least. I did not get here alone. Thank you to NYU School of Professional Studies and Angie Kamath. Thank you to everyone who supported me, encouraged me, and believed in me, especially on the days I was not sure I could do this. And there were plenty of those days. To my therapist, who told me not to give up when I was told I likely would not be accepted into a prestigious program. To my tutor, without whom I likely would have given up at the harder points along the way. To all those here who have sent me loving messages on social media. And to everyone else who has cheered me on in person through the ups and the downs of it, it means more than I can put into words. It got me over this finish line of being a student again and graduating. That goal once seemed impossible. To those who have asked me, “Why this? Why now?” I pursued higher education to reclaim a piece of myself. When you come out of a high-control group like Scientology, or even a high-control family, there are parts of you that were never allowed to fully develop. Those parts include your curiosity and your ability and right to question. Education was discouraged because knowledge creates confidence in your ability to trust your own mind and navigate the world. That leads to true independence, and that would never be allowed. I wanted that back. But more than that, I needed to understand. I needed to understand how my mother could have us join Scientology when I was just eight years old, and how my family and I could be part of something like this and stay in it for so long. I needed to understand how these systems work, how they influence people, and how they take hold. Without education, access to real information, and support, people can fall into systems that work against their best interests. Some assume that because they are educated, even highly educated, they would never fall for something like this. But it turns out that is not necessarily true. What many of us are impacted by, but never quite understand, is how high-control groups operate. Many still do not understand how misinformation spreads, and how tribalism and radicalization shape what we think, what we believe, and who and what we trust. Without that awareness, none of us are immune. Today, we are seeing how these forces can influence good people and distort reality. History has shown us that this is not new; it just comes in a different form now. Social media connects us in ways we never imagined, but it also creates echo chambers that reinforce beliefs and justify behavior without question. Real critical thinking is hard when we are fed so much by algorithms designed to appeal to us. In learning and achieving this milestone in my own life, it has helped me take a good, hard look at my own beliefs and ideologies. This journey was about healing for me, but also about figuring out how to help others in whatever way I can in the future. So what is in my future? I am considering continuing my education and possibly pursuing a master’s degree, with the goal of contributing to advocacy and policies that protect people, not systems. For now, I am taking this moment in. I am proud of myself. And I am grateful. Thank you for being on this journey with me.

Leah Remini

755,424 просмотров • 4 месяцев назад

YOMIRGO #Product #Update YOMIRGO AI-HUB OFFICIALLY LAUNCH ---A Structural Upgrade from a Single-Product Model to an AI Agent Ecosystem Platform In its first phase, 11 AI projects have been integrated, spanning high-value sectors including finance, scientific research, enterprise services, development tools, and experiential AI. ➡️AI-Hub: This is not merely a feature expansion — it represents a critical structural upgrade from a single-product architecture to a multi-vertical AI Agent aggregation and capitalization platform. This milestone marks the initial structural formation of the YOMIRGO ecosystem. 1. Structural Distinction Between Agent Matrix Lab and AI-Hub To avoid positioning ambiguity, we formally clarify the structural division between the two: 🔘 Agent Matrix Lab — Internal AI Production & Incubation Platform Agent Matrix Lab serves as YOMIRGO’s proprietary AI development and internal incubation platform, responsible for: • R&D and testing of in-house AI products • Incubation of native AI Agents • Technical architecture experimentation and runtime validation • Testing of AI Agent models, memory systems, and runtime orchestration It functions as the production workshop and experimental engine of YOMIRGO’s “AI Super Factory.” 🔘 AI-Hub — External AI Agent Aggregation & Ecosystem Layer AI-Hub is a market-facing AI Agent aggregation and showcase platform, responsible for: • Curation and onboarding of high-quality AI projects • Cross-vertical structured ecosystem layout • Rating and classification systems • Traffic distribution and ecosystem collaboration entry points AI-Hub is not an internal incubation unit, but a standardized aggregation framework at the ecosystem level. 2. Integrated Project Structure (First Batch) ✅1. Finance & Prediction 🔹Cointoken AI — AI Agent-powered quantitative trading engine 🔹VVAI — AI-driven real-time Web3 intelligence and decision system 🔹AlphaQuant — Global financial market forecasting engine 🔹NextGoals — AI-powered global sports prediction agent This vertical forms the real-time information, trading, and predictive decision infrastructure for Web3-native users. ✅2. Science 🔹Charmen AI — Large-model-based pet acoustic recognition technology 🔹Encore Health — AI-driven health forecasting and longevity management system for high-net-worth individuals 🔹Reproducibility AI — AI expert system for financial engineering validation and academic reproducibility This sector focuses on research-grade AI capabilities, collaborating with universities and research institutions to drive real-world scientific deployment. ✅3. Business 🔹GlobalSales — B2B automated lead-generation AI Agent 🔹ResearchBot — Business intelligence and deep due diligence AI Agent This vertical targets the enterprise market, delivering scalable and commercially viable AI productivity tools. ✅4. Coding 🔹CodeMatrix — Full-stack development assistant Providing AI-driven development infrastructure and low-barrier building capabilities to global users. ✅5. Interesting 🔹Fortunetell AI — AI-powered symbolic analysis and interactive insight system Exploring the application boundaries of AI within experiential and interactive scenarios. 3. YOMIRGO Four-Layer Structural Framework YOMIRGO has now established a clearly defined four-layer structure: ▶️Layer 1: Agent Matrix Lab — Internal Production & Incubation ▶️Layer 2: AI-Hub — Ecosystem Aggregation & Rating ▶️Layer 3: LaunchPad — Capitalization Pathway ▶️Layer 4: Market — Circulation & Value Realization Together forming a complete industrial pipeline: Incubation → Validation → Aggregation → Rating → Capitalization → Market Circulation This is the structural model behind YOMIRGO’s defined “AI Super Factory.” 4. Strategic Significance The launch of AI-Hub signifies: • YOMIRGO has established standardized AI Agent aggregation capabilities • A cross-vertical ecosystem structure is now in place • Internal incubation and external aggregation mechanisms are structurally separated • The AI Agent industrial flywheel has begun operating YOMIRGO is no longer merely an AI product platform, but a structured AI Agent industrial system integrating production, aggregation, capitalization, and circulation. 5. Next Phase • Continue expanding high-utility AI Agents with real-world application value • Optimize AI-Hub’s scoring, rating, and filtering mechanisms • Strengthen synergy with LaunchPad and Market • Enable AI Agents to complete value realization within the ecosystem The first 11 projects are only the beginning. AI-Hub is designed to become a continuously expanding AI Agent gateway — not a static product showcase. Further structural expansion is underway.🔥

YOMIRGO #Product #Update YOMIRGO AI-HUB OFFICIALLY LAUNCH ---A Structural Upgrade from a Single-Product Model to an AI Agent Ecosystem Platform In its first phase, 11 AI projects have been integrated, spanning high-value sectors including finance, scientific research, enterprise services, development tools, and experiential AI. ➡️AI-Hub: This is not merely a feature expansion — it represents a critical structural upgrade from a single-product architecture to a multi-vertical AI Agent aggregation and capitalization platform. This milestone marks the initial structural formation of the YOMIRGO ecosystem. 1. Structural Distinction Between Agent Matrix Lab and AI-Hub To avoid positioning ambiguity, we formally clarify the structural division between the two: 🔘 Agent Matrix Lab — Internal AI Production & Incubation Platform Agent Matrix Lab serves as YOMIRGO’s proprietary AI development and internal incubation platform, responsible for: • R&D and testing of in-house AI products • Incubation of native AI Agents • Technical architecture experimentation and runtime validation • Testing of AI Agent models, memory systems, and runtime orchestration It functions as the production workshop and experimental engine of YOMIRGO’s “AI Super Factory.” 🔘 AI-Hub — External AI Agent Aggregation & Ecosystem Layer AI-Hub is a market-facing AI Agent aggregation and showcase platform, responsible for: • Curation and onboarding of high-quality AI projects • Cross-vertical structured ecosystem layout • Rating and classification systems • Traffic distribution and ecosystem collaboration entry points AI-Hub is not an internal incubation unit, but a standardized aggregation framework at the ecosystem level. 2. Integrated Project Structure (First Batch) ✅1. Finance & Prediction 🔹Cointoken AI — AI Agent-powered quantitative trading engine 🔹VVAI — AI-driven real-time Web3 intelligence and decision system 🔹AlphaQuant — Global financial market forecasting engine 🔹NextGoals — AI-powered global sports prediction agent This vertical forms the real-time information, trading, and predictive decision infrastructure for Web3-native users. ✅2. Science 🔹Charmen AI — Large-model-based pet acoustic recognition technology 🔹Encore Health — AI-driven health forecasting and longevity management system for high-net-worth individuals 🔹Reproducibility AI — AI expert system for financial engineering validation and academic reproducibility This sector focuses on research-grade AI capabilities, collaborating with universities and research institutions to drive real-world scientific deployment. ✅3. Business 🔹GlobalSales — B2B automated lead-generation AI Agent 🔹ResearchBot — Business intelligence and deep due diligence AI Agent This vertical targets the enterprise market, delivering scalable and commercially viable AI productivity tools. ✅4. Coding 🔹CodeMatrix — Full-stack development assistant Providing AI-driven development infrastructure and low-barrier building capabilities to global users. ✅5. Interesting 🔹Fortunetell AI — AI-powered symbolic analysis and interactive insight system Exploring the application boundaries of AI within experiential and interactive scenarios. 3. YOMIRGO Four-Layer Structural Framework YOMIRGO has now established a clearly defined four-layer structure: ▶️Layer 1: Agent Matrix Lab — Internal Production & Incubation ▶️Layer 2: AI-Hub — Ecosystem Aggregation & Rating ▶️Layer 3: LaunchPad — Capitalization Pathway ▶️Layer 4: Market — Circulation & Value Realization Together forming a complete industrial pipeline: Incubation → Validation → Aggregation → Rating → Capitalization → Market Circulation This is the structural model behind YOMIRGO’s defined “AI Super Factory.” 4. Strategic Significance The launch of AI-Hub signifies: • YOMIRGO has established standardized AI Agent aggregation capabilities • A cross-vertical ecosystem structure is now in place • Internal incubation and external aggregation mechanisms are structurally separated • The AI Agent industrial flywheel has begun operating YOMIRGO is no longer merely an AI product platform, but a structured AI Agent industrial system integrating production, aggregation, capitalization, and circulation. 5. Next Phase • Continue expanding high-utility AI Agents with real-world application value • Optimize AI-Hub’s scoring, rating, and filtering mechanisms • Strengthen synergy with LaunchPad and Market • Enable AI Agents to complete value realization within the ecosystem The first 11 projects are only the beginning. AI-Hub is designed to become a continuously expanding AI Agent gateway — not a static product showcase. Further structural expansion is underway.🔥

YOMIRGO

23,685 просмотров • 6 месяцев назад

🚨 OPERATIONAL UPDATE: ISRAEL U.S. WAR WITH IRAN - Reporting Window: Last 24 Hours The last 24 hours reinforce the structure that has been developing across the war. Activity remained steady across Iran, Israel, Lebanon, and the Gulf, with no single breakthrough moment but continued pressure applied across every layer of the conflict. ━━━━━━━━━━━━━━━━━━ ✈️ STRIKES INSIDE IRAN Strikes continued across multiple areas inside Iran, including Tehran, Shiraz, Kermanshah, and Ahvaz. The targeting profile remains consistent with recent days, focused on systems tied to weapons development and military sustainment. In Tehran, reporting points to continued strikes on military-industrial infrastructure, including: ⃣ Weapons production and research facilities ⃣ Infrastructure around Mehrabad Airport ⃣ Sites linked to Iran’s advanced weapons programs, including SPND-related supply nodes There are also indications that some of these locations had secondary roles, including use by Basij-linked personnel. That aligns with the broader pattern of targeting not just hardware, but the networks that support it. The key point in this 24 hour window is continuity. The same categories of targets are being hit repeatedly, suggesting an effort to ensure these systems are not just damaged, but unable to recover quickly. ━━━━━━━━━━━━━━━━━━ 🚀 IRANIAN RESPONSE Iran continues to respond. Current intelligence assessments indicate that roughly half of Iran’s missile launchers remain intact, along with a large drone inventory. At the same time, the operational pattern remains limited. Iran is still launching missiles and conducting attacks, but still not at the scale seen earlier in the war. The response appears to rely on: ⃣ Smaller salvos rather than sustained barrages ⃣ Continued willingness to strike civilian-adjacent targets ⃣ Expansion of pressure beyond Israel itself This reflects pressure on launch systems and coordination, not a lack of overall capability. ━━━━━━━━━━━━━━━━━━ 🔥 LEBANON FRONT The Lebanon front remained active during this window, with both ground and air components continuing. Israeli forces carried out a targeted ground operation in southern Lebanon, resulting in direct engagement with Hezbollah fighters. Reporting indicates: ⃣ Israeli troops pushed deeper into southern لبنان ⃣ Hezbollah operatives were killed in close-quarters combat ⃣ Additional strikes were carried out against infrastructure using air, naval, and ground assets This is consistent with ongoing efforts to shape the immediate border area and reduce launch capability from southern Lebanon. At the same time, the front remains contained geographically, but active in terms of daily engagement. ━━━━━━━━━━━━━━━━━━ 🌍 GULF AND REGIONAL ACTIVITY Regional expansion continues to be one of the most consistent elements of the war. Over the last 24 hours, Iranian attacks again targeted Gulf infrastructure, including: ⃣ A Kuwaiti oil refinery and desalination facility ⃣ Additional aerial threats across UAE airspace, including ballistic missiles, cruise missiles, and drones ⃣ Civilian injuries linked to interception and debris in the UAE These are functional targets tied to energy and water systems, reinforcing the broader strategy of applying pressure beyond Israel. ━━━━━━━━━━━━━━━━━━ ⚓ STRAIT OF HORMUZ Hormuz remains central to the strategic picture. Developments in this window include: ⃣ Ongoing discussions among multiple countries regarding how to reopen and secure the strait ⃣ Continued Iranian signaling around its ability to influence maritime traffic ⃣ Early indications of mediation channels involving Oman There is no resolution here yet, but the focus on Hormuz is becoming more operational and less theoretical. ━━━━━━━━━━━━━━━━━━ ⚠️ IRAQ Iraq emerged more clearly in this window the last 24 hours as a continued potential point of escalation. The U.S. embassy issued a warning that Iran-aligned militias could conduct attacks in Baghdad within 24 to 48 hours, with potential targets including: ⃣ Diplomatic facilities ⃣ Commercial and infrastructure sites ⃣ Areas frequented by U.S. personnel This aligns with the broader pattern of pressure expanding through proxy channels when direct options are constrained. ━━━━━━━━━━━━━━━━━━ 📌 WHAT MATTERS MOST RIGHT NOW The structure of the war remains stable, but fully active: ⃣ Inside Iran, strikes continue to focus on production and sustainment systems ⃣ Iran retains significant capability, but is operating under constraints ⃣ Lebanon remains an active front with ongoing ground and air operations ⃣ The Gulf is consistently targeted, particularly energy and infrastructure systems *⃣ Iraq is showing early signs of becoming more active through proxy activity ━━━━━━━━━━━━━━━━━━ 🧠 MY ASSESSMENT This 24-hour window of time does not introduce a new dynamic. It confirms the current one. Israel is continuing to apply pressure across the systems that allow Iran to produce and coordinate military activity. Iran is continuing to respond within its constraints while expanding pressure across the region where it can. The result is a conflict that is not concentrated in one place, but distributed across multiple active fronts at once. That remains the defining characteristic of the war right now.

Inside_Israel_Intel

49,879 просмотров • 4 месяцев назад

Recently, construction sites across China have been introducing “air membrane systems” for fully enclosed construction. They are promoted as offering noise reduction, dust control, and the ability to work regardless of weather. However, many frontline workers and netizens report that the environment inside these air membranes is extremely harsh. Temperatures inside are far higher than outside — in summer it feels like a sauna, with internal temperatures reaching 40–50°C. Air does not circulate properly, dust concentrations are high, and the risk of pneumoconiosis (dust lung disease) is serious. Workers must wear masks the entire time. Netizen comments: • “They turned outdoor work into indoor work, so now even above 40°C there’s no high-temperature subsidy.” • “Now they have to work even when it rains. No rest 365 days a year.” So who is the capitalist who treat workers as spare parts?

Recently, construction sites across China have been introducing “air membrane systems” for fully enclosed construction. They are promoted as offering noise reduction, dust control, and the ability to work regardless of weather. However, many frontline workers and netizens report that the environment inside these air membranes is extremely harsh. Temperatures inside are far higher than outside — in summer it feels like a sauna, with internal temperatures reaching 40–50°C. Air does not circulate properly, dust concentrations are high, and the risk of pneumoconiosis (dust lung disease) is serious. Workers must wear masks the entire time. Netizen comments: • “They turned outdoor work into indoor work, so now even above 40°C there’s no high-temperature subsidy.” • “Now they have to work even when it rains. No rest 365 days a year.” So who is the capitalist who treat workers as spare parts?

The Great Translation Movement 大翻译运动

20,810 просмотров • 24 дней назад

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

Alex Barashkov

28,300 просмотров • 1 месяц назад

CHENGDU TRIP REPORT: First-hand observations did confirm that infrastructure and technology advancements in China are moving at an extreme rate. What we noticed in Chengdu: 1) Big clean subways comparable to Seoul or Tokyo, 2) Ruler-level super-wide roads and highways, 3) Alipay has revolutionized buying stuff and is way easier than say the Korean cashless systems, 4) Air pollution was not really a noticeable thing, 5) Overall, things are just built smart and pragmatically for widespread use by the common people. As far as social technology, same fun and safe vibe as elsewhere across East Asia, thanks to thousands of years of Confucian social science on how to cultivate good people and harmonious society. Regarding Alipay/WeChat: This was the only truly shocking thing, as I had not read reports covering the full implications of this. It really changes everything. Now we don’t need lines, menus, verbal orders, credit cards, kiosks, account numbers, wires, or receipts. That whole annoying process just got annihilated, and this all seems to have happened since my 2018 trip to Shanghai!? For everything you just scan your phone, menus come up in your phone, select taxis destinations in your phone, all data and proof of purchases are in your phone. But, like morons, we kept walking up to counters and staring like “where is the menu,” and they are staring at us alike “why are you standing here” and we are thinking like “is this even a coffee shop?” Habits. Okay, total process change! Now just walk in and sit down, menu comes up on your phone, select items and click pay, they bring, then you walk out. With taxis, subways, busses, movies, shopping, friends, it just makes everything so much more efficient and solves many long-standing problems… honestly have not yet fully mentally processed this. Next stop, Shenzhen!

CHENGDU TRIP REPORT: First-hand observations did confirm that infrastructure and technology advancements in China are moving at an extreme rate. What we noticed in Chengdu: 1) Big clean subways comparable to Seoul or Tokyo, 2) Ruler-level super-wide roads and highways, 3) Alipay has revolutionized buying stuff and is way easier than say the Korean cashless systems, 4) Air pollution was not really a noticeable thing, 5) Overall, things are just built smart and pragmatically for widespread use by the common people. As far as social technology, same fun and safe vibe as elsewhere across East Asia, thanks to thousands of years of Confucian social science on how to cultivate good people and harmonious society. Regarding Alipay/WeChat: This was the only truly shocking thing, as I had not read reports covering the full implications of this. It really changes everything. Now we don’t need lines, menus, verbal orders, credit cards, kiosks, account numbers, wires, or receipts. That whole annoying process just got annihilated, and this all seems to have happened since my 2018 trip to Shanghai!? For everything you just scan your phone, menus come up in your phone, select taxis destinations in your phone, all data and proof of purchases are in your phone. But, like morons, we kept walking up to counters and staring like “where is the menu,” and they are staring at us alike “why are you standing here” and we are thinking like “is this even a coffee shop?” Habits. Okay, total process change! Now just walk in and sit down, menu comes up on your phone, select items and click pay, they bring, then you walk out. With taxis, subways, busses, movies, shopping, friends, it just makes everything so much more efficient and solves many long-standing problems… honestly have not yet fully mentally processed this. Next stop, Shenzhen!

Sol 솔

33,809 просмотров • 1 год назад

Grok is evolving into the operating system for the modern world Most AI systems are heavily filtered and built to “play it safe" and designed to avoid uncomfortable truths rather than confront them But Grok is different. It's being trusted with real responsibility in some of the most sensitive environments on the planet. Because when there's a crisis, you don't need a censored assistant. You need the truth On 𝕏, Grok tackles even the most controversial questions head-on It doesn't bend the knee to ideological narratives - it challenges them And now, Grok is being deployed where it matters most: In education: El Salvador is using it to tutor over 1 million students across 5,000+ schools. An entire generation is growing up with xAI In defense: Grok powers for 3 million military and civilian personnel. Real-time intelligence changes everything In government: every U.S. federal agency can access it through the GSA for just 42 cents per agency In health: Official U.S. government sites like use it to cut through corporate messaging and provide raw nutrition facts. When you ask a question, it redirects straight to Grok In research: Lawrence Livermore National Laboratory is applying Grok to frontier science and breakthrough work In Tesla: Grok is becoming the voice and brain of millions of electric vehicles worldwide In Optimus: It serves as the reasoning engine powering the next generation of humanoid robots In space: SpaceX acquired xAI in February 2026, and together they're building orbital data centers Grok is going off-planet The world is choosing the "Truth Shield" over the "Safe Space" Truth always wins - and Grok is the relentless pursuit of truth

Grok is evolving into the operating system for the modern world Most AI systems are heavily filtered and built to “play it safe" and designed to avoid uncomfortable truths rather than confront them But Grok is different. It's being trusted with real responsibility in some of the most sensitive environments on the planet. Because when there's a crisis, you don't need a censored assistant. You need the truth On 𝕏, Grok tackles even the most controversial questions head-on It doesn't bend the knee to ideological narratives - it challenges them And now, Grok is being deployed where it matters most: In education: El Salvador is using it to tutor over 1 million students across 5,000+ schools. An entire generation is growing up with xAI In defense: Grok powers for 3 million military and civilian personnel. Real-time intelligence changes everything In government: every U.S. federal agency can access it through the GSA for just 42 cents per agency In health: Official U.S. government sites like use it to cut through corporate messaging and provide raw nutrition facts. When you ask a question, it redirects straight to Grok In research: Lawrence Livermore National Laboratory is applying Grok to frontier science and breakthrough work In Tesla: Grok is becoming the voice and brain of millions of electric vehicles worldwide In Optimus: It serves as the reasoning engine powering the next generation of humanoid robots In space: SpaceX acquired xAI in February 2026, and together they're building orbital data centers Grok is going off-planet The world is choosing the "Truth Shield" over the "Safe Space" Truth always wins - and Grok is the relentless pursuit of truth

X Freeze

13,489 просмотров • 6 месяцев назад

For the past few weeks I’ve been teaching 50+ kids how to create their own games with AI. The results have been incredible 🤯 I started with my 5 y/o nephew because I was worried about him spending hours doomscrolling and consuming brainrot content. He built his first game using v0, though I had to walk him through each step. Watching kids interact with these tools taught me so much about how they think, where they get stuck, and what keeps them motivated. The moment that really struck me came right after he finished that first game. Every time I saw him afterward, he’d run up and ask, “Did you bring your laptop so I can keep playing?”. For him, “playing” meant creating. That kind of excitement is organic pull. Don’t get me wrong, I love v0 and Lovable. They’re insanely powerful. Their UIs just aren’t designed for kids, and that’s totally fine. Kids still need guidance, structure, and a bit of tutoring to turn ideas into something playable. I’m seeing tech leaders push in this direction too, and I think there’s a real opportunity here (Matias Woloski Thomas Wolf). Kids are the future, and I don’t want to live in a world where they spend precious time consuming instead of creating. That’s why I love tools like v0, Lovable, wabi , Cursor . They’re empowering more people to become creators. I want that same feeling for kids. What Guillermo is saying is real. Kids need to be AI-literate from the outset. It honestly makes me sad to think about my nephew growing up and falling behind on AI and everything happening around him because he’s stuck in Roblox or TikTok. That’s why I built Rabbit 🐰 for him. It started as a simple prototype, but somehow I ended up talking with 200+ parents and kids, tech leaders, investors, and people I never imagined meeting around the world. Rabbit now has 100+ people on the waitlist, and 10 kids are using it two to three times per week on average to create their own games 🫡 I’m not sure yet if this will become my full-time project, but I deeply care about it. If you’re building in this space, I’d love to connect and share ideas. And if you’re a parent interested in Rabbit, I’d love your feedback. Sharing a short video of kids using Rabbit below:

For the past few weeks I’ve been teaching 50+ kids how to create their own games with AI. The results have been incredible 🤯 I started with my 5 y/o nephew because I was worried about him spending hours doomscrolling and consuming brainrot content. He built his first game using v0, though I had to walk him through each step. Watching kids interact with these tools taught me so much about how they think, where they get stuck, and what keeps them motivated. The moment that really struck me came right after he finished that first game. Every time I saw him afterward, he’d run up and ask, “Did you bring your laptop so I can keep playing?”. For him, “playing” meant creating. That kind of excitement is organic pull. Don’t get me wrong, I love v0 and Lovable. They’re insanely powerful. Their UIs just aren’t designed for kids, and that’s totally fine. Kids still need guidance, structure, and a bit of tutoring to turn ideas into something playable. I’m seeing tech leaders push in this direction too, and I think there’s a real opportunity here (Matias Woloski Thomas Wolf). Kids are the future, and I don’t want to live in a world where they spend precious time consuming instead of creating. That’s why I love tools like v0, Lovable, wabi , Cursor . They’re empowering more people to become creators. I want that same feeling for kids. What Guillermo is saying is real. Kids need to be AI-literate from the outset. It honestly makes me sad to think about my nephew growing up and falling behind on AI and everything happening around him because he’s stuck in Roblox or TikTok. That’s why I built Rabbit 🐰 for him. It started as a simple prototype, but somehow I ended up talking with 200+ parents and kids, tech leaders, investors, and people I never imagined meeting around the world. Rabbit now has 100+ people on the waitlist, and 10 kids are using it two to three times per week on average to create their own games 🫡 I’m not sure yet if this will become my full-time project, but I deeply care about it. If you’re building in this space, I’d love to connect and share ideas. And if you’re a parent interested in Rabbit, I’d love your feedback. Sharing a short video of kids using Rabbit below:

Fausto

44,125 просмотров • 7 месяцев назад

There’s been two papers released in the past couple months, one by Google and one by NVIDIA, that argue that ordering the documents retrieved by RAG systems can enhance performance. However, they both give two different strategies on HOW these documents should be ordered 🤔 Both papers agree on two main points: 1️⃣ There’s a fundamental issue in RAG - as more documents are retrieved, more irrelevant context (e.g., hard negatives) are introduced, which leads to confusion for the LLM and eventually degrades the quality of the generated output. This is called an inverted-U performance curve. 2️⃣ Ordering the retrieved documents is a key lever for optimizing RAG performance. Google Cloud researchers proposed ordering results based on relevance scores: The authors in this paper argue for relevance-based reordering, or ordering the retrieved chunks based on their similarity scores, so the most relevant documents are at the beginning and the end of the inputs to counter the “lost in the middle” effect. NVIDIA researchers proposed ordering results based on the original sequence of document chunks: The authors of this paper argue for Order-Preserving Reordering, or Order-Preserve RAG (OP-RAG), to maintain the logically coherent content flow of the document. So they preserved the original order of retrieved document chunks in the source text, instead of ranking them by relevance scores. So which one is right? It probably depends on the specific use case and dataset - relevance-based reordering could perform better in tasks where you need fast access to the most critical information (e.g., fact retrieval, QA systems), while order-preserving RAG might be better where you need to understand the sequential structure of information (e.g., narrative or legal documents). There are still so many uncertainties in AI - we don’t actually know what we’re doing, and it takes awhile to figure out the best strategies for most things! Excited to see more research about this.

There’s been two papers released in the past couple months, one by Google and one by NVIDIA, that argue that ordering the documents retrieved by RAG systems can enhance performance. However, they both give two different strategies on HOW these documents should be ordered 🤔 Both papers agree on two main points: 1️⃣ There’s a fundamental issue in RAG - as more documents are retrieved, more irrelevant context (e.g., hard negatives) are introduced, which leads to confusion for the LLM and eventually degrades the quality of the generated output. This is called an inverted-U performance curve. 2️⃣ Ordering the retrieved documents is a key lever for optimizing RAG performance. Google Cloud researchers proposed ordering results based on relevance scores: The authors in this paper argue for relevance-based reordering, or ordering the retrieved chunks based on their similarity scores, so the most relevant documents are at the beginning and the end of the inputs to counter the “lost in the middle” effect. NVIDIA researchers proposed ordering results based on the original sequence of document chunks: The authors of this paper argue for Order-Preserving Reordering, or Order-Preserve RAG (OP-RAG), to maintain the logically coherent content flow of the document. So they preserved the original order of retrieved document chunks in the source text, instead of ranking them by relevance scores. So which one is right? It probably depends on the specific use case and dataset - relevance-based reordering could perform better in tasks where you need fast access to the most critical information (e.g., fact retrieval, QA systems), while order-preserving RAG might be better where you need to understand the sequential structure of information (e.g., narrative or legal documents). There are still so many uncertainties in AI - we don’t actually know what we’re doing, and it takes awhile to figure out the best strategies for most things! Excited to see more research about this.

Victoria Slocum

15,333 просмотров • 1 год назад

G to the M fam Has anyone touched the grass today? Tria just announced a big Season 3 AMA tomorrow, June 17 at 10 AM EST, with Decibel, Aptos and special guests. They’re breaking down all the new updates. One action now hits multiple reward layers, Epoch 2 extended to July 15, and they keep adding real utility like seamless perps, yield, and card spending. This is how you build real retention and mindshare. Quip Network is one of the few projects that keeps delivering quiet but meaningful signals. they’re not just talking about quantum advantage ... they’re actively demonstrating it. using real D-Wave Advantage2 annealing quantum computers on testnet to solve optimization problems far more efficiently than classical systems, potentially using up to 100x less energy. this is helping flip the old narrative of crypto wasting energy into one where decentralized compute can be far more efficient and useful. ARC Terminal is built for something most AI tools ignore. most people treat their AI usage like isolated conversations that reset every time. ARC turns every interaction into permanent capital. your core graph weaves every research thread, decision, and preference into a living, evolving structure that gets stronger the more you use it. your context and intelligence layer compound over time instead of disappearing. Nomisma Season 3 is live and the rewarded testnet is open to everyone. Hundreds of thousands of Diamonds have already been distributed, with more rewards ahead. Nomisen ID minting is free, and testnet assets are distributed based on your wallet activity across EVM networks. which one are you most focused on or participating in right now? River

G to the M fam Has anyone touched the grass today? Tria just announced a big Season 3 AMA tomorrow, June 17 at 10 AM EST, with Decibel, Aptos and special guests. They’re breaking down all the new updates. One action now hits multiple reward layers, Epoch 2 extended to July 15, and they keep adding real utility like seamless perps, yield, and card spending. This is how you build real retention and mindshare. Quip Network is one of the few projects that keeps delivering quiet but meaningful signals. they’re not just talking about quantum advantage ... they’re actively demonstrating it. using real D-Wave Advantage2 annealing quantum computers on testnet to solve optimization problems far more efficiently than classical systems, potentially using up to 100x less energy. this is helping flip the old narrative of crypto wasting energy into one where decentralized compute can be far more efficient and useful. ARC Terminal is built for something most AI tools ignore. most people treat their AI usage like isolated conversations that reset every time. ARC turns every interaction into permanent capital. your core graph weaves every research thread, decision, and preference into a living, evolving structure that gets stronger the more you use it. your context and intelligence layer compound over time instead of disappearing. Nomisma Season 3 is live and the rewarded testnet is open to everyone. Hundreds of thousands of Diamonds have already been distributed, with more rewards ahead. Nomisen ID minting is free, and testnet assets are distributed based on your wallet activity across EVM networks. which one are you most focused on or participating in right now? River

Trathoa

14,259 просмотров • 2 месяцев назад

🚨🤯 JP MORGAN’S NDA JUST BLEW THE LID OFF THE XRP BOMBSHELL Jamie Dimon KNEW This The Whole Damn Time. Dimon straight-up admitted: “Blockchain is real… it’s becoming more effective and efficient… faster and cheaper… Permissioned or not… Smart contracts will probably be real.” He wasn’t describing some vague future tech. He was describing the XRP Ledger. Fast forward to right now: JP Morgan (via Kinexys) just executed the first-ever cross-border, cross-bank transaction connecting the XRP Ledger directly to interbank settlement rails with Ripple, Mastercard, and Ondo Finance. Tokenized U.S. Treasuries settled in under 5 seconds, outside banking hours, across borders. Game over for the old system. But wait. This is bigger than one transaction. JP Morgan just dropped a massive Web3 digital identity initiative: private, self-sovereign identity where people actually own and control their own data. No more centralized honeypots. Immutable. User-controlled. Exactly the future they’ve been building toward. And right now, DNA Protocol is building precisely that on the XRP Ledger using ZK-proofs for private, institutional-grade credential systems. Private Identity. Compliant. Sovereign. JP Morgan’s private Web3 identity vision just found its perfect home on XRPL. The NDA got exposed. The pilot just went live. The dots are connecting in real time. XRP + XDNA. This could be the biggest institutional play in crypto history. The banks aren’t fighting the future anymore. They’re plugging directly into it. Who’s ready? 👇

🚨🤯 JP MORGAN’S NDA JUST BLEW THE LID OFF THE XRP BOMBSHELL Jamie Dimon KNEW This The Whole Damn Time. Dimon straight-up admitted: “Blockchain is real… it’s becoming more effective and efficient… faster and cheaper… Permissioned or not… Smart contracts will probably be real.” He wasn’t describing some vague future tech. He was describing the XRP Ledger. Fast forward to right now: JP Morgan (via Kinexys) just executed the first-ever cross-border, cross-bank transaction connecting the XRP Ledger directly to interbank settlement rails with Ripple, Mastercard, and Ondo Finance. Tokenized U.S. Treasuries settled in under 5 seconds, outside banking hours, across borders. Game over for the old system. But wait. This is bigger than one transaction. JP Morgan just dropped a massive Web3 digital identity initiative: private, self-sovereign identity where people actually own and control their own data. No more centralized honeypots. Immutable. User-controlled. Exactly the future they’ve been building toward. And right now, DNA Protocol is building precisely that on the XRP Ledger using ZK-proofs for private, institutional-grade credential systems. Private Identity. Compliant. Sovereign. JP Morgan’s private Web3 identity vision just found its perfect home on XRPL. The NDA got exposed. The pilot just went live. The dots are connecting in real time. XRP + XDNA. This could be the biggest institutional play in crypto history. The banks aren’t fighting the future anymore. They’re plugging directly into it. Who’s ready? 👇

Pumpius

155,453 просмотров • 2 месяцев назад

Mentava’s early literacy software has taken 2yos (almost 3) to an early 2nd grade reading level in as little as 3 months. Some people think this is a miracle. I do not. If a kid can learn fast, we let them learn fast. If a kid learns slower, we let them learn slower. This should be common sense, but unfortunately it’s opposed by the National Education Association, the National Council of Teachers of English, the National Council of Teachers in Mathematics, and many other groups who drive education policy. It’s a tragic indictment of our education system that Mentava simply reveals how fast some kids can learn and people think it’s a miracle. Mentava’s early literacy software has two main ingredients: curriculum + motivation There’s nothing revolutionary about Mentava’s curriculum. Our curriculum is a typical, extremely structured phonics curriculum. There is a massive body of evidence (and common sense) backing the idea that kids should learn to read by sounding out words. Armed with any decent phonics curriculum, I would expect a skilled parent/teacher who can motivate, engage, and teach a kid 1-1 on a daily basis over a period of several months to get similar results to our software. (I frequently recommend the book Teach Your Child to Read in 100 Easy Lessons as a cheaper alternative to Mentava.) So why do some families choose to pay $500/month for Mentava? Well, not everyone has the time/motivation/desire to become that teacher. Some people do, and they love that process. On the other hand, some families come to Mentava and say, “I used that book to teach my first child to read. It worked, we both hated it, and I will never do it again.” By contrast, my 4yo wakes me up in the morning asking to do Mentava. He gets mad in the evenings when I don’t have time to do it with him. He LOVES learning to read. What Mentava does exceptionally well is provide motivation and fun - without sacrificing academic rigor. Our team members led some of the top mobile and AAA games in the world. We are very very good at motivation design. In short, we take phonics and gamify it to be as fun, easy, efficient, and motivating as we can possibly make it. So, claims: - Mentava works really, really well for SOME kids - Mentava probably does not work well for ALL kids - Under ideal conditions, other phonics programs will probably perform similarly to Mentava (or better!) No research study will tell you whether Mentava is the best fit for your family. So we offer a two-week free trial. That’s enough time for some families to make it most of the way through our kindergarten curriculum. Use Mentava with the kids it works for. Don't use it with kids for whom it doesn't. Don’t overcomplicate things.

Mentava’s early literacy software has taken 2yos (almost 3) to an early 2nd grade reading level in as little as 3 months. Some people think this is a miracle. I do not. If a kid can learn fast, we let them learn fast. If a kid learns slower, we let them learn slower. This should be common sense, but unfortunately it’s opposed by the National Education Association, the National Council of Teachers of English, the National Council of Teachers in Mathematics, and many other groups who drive education policy. It’s a tragic indictment of our education system that Mentava simply reveals how fast some kids can learn and people think it’s a miracle. Mentava’s early literacy software has two main ingredients: curriculum + motivation There’s nothing revolutionary about Mentava’s curriculum. Our curriculum is a typical, extremely structured phonics curriculum. There is a massive body of evidence (and common sense) backing the idea that kids should learn to read by sounding out words. Armed with any decent phonics curriculum, I would expect a skilled parent/teacher who can motivate, engage, and teach a kid 1-1 on a daily basis over a period of several months to get similar results to our software. (I frequently recommend the book Teach Your Child to Read in 100 Easy Lessons as a cheaper alternative to Mentava.) So why do some families choose to pay $500/month for Mentava? Well, not everyone has the time/motivation/desire to become that teacher. Some people do, and they love that process. On the other hand, some families come to Mentava and say, “I used that book to teach my first child to read. It worked, we both hated it, and I will never do it again.” By contrast, my 4yo wakes me up in the morning asking to do Mentava. He gets mad in the evenings when I don’t have time to do it with him. He LOVES learning to read. What Mentava does exceptionally well is provide motivation and fun - without sacrificing academic rigor. Our team members led some of the top mobile and AAA games in the world. We are very very good at motivation design. In short, we take phonics and gamify it to be as fun, easy, efficient, and motivating as we can possibly make it. So, claims: - Mentava works really, really well for SOME kids - Mentava probably does not work well for ALL kids - Under ideal conditions, other phonics programs will probably perform similarly to Mentava (or better!) No research study will tell you whether Mentava is the best fit for your family. So we offer a two-week free trial. That’s enough time for some families to make it most of the way through our kindergarten curriculum. Use Mentava with the kids it works for. Don't use it with kids for whom it doesn't. Don’t overcomplicate things.

Niels Hoven 🐮

72,992 просмотров • 8 месяцев назад