Loading video...

Video Failed to Load

Go Home

Introducing Muur's Research Hub A valuable resource featuring top-grade Web3 research from Binance Research, Messari by Blockworks, Four Pillars, CoinMarketCap, CoinGecko, Coinbase 🛡️, Crypto.com, and many others. New research added weekly. Link below ↓

stacy_muur's profile picture

Stacy Muur

77,702 subscribers

353,819 views • 2 years ago •via X (Twitter)

Science & TechnologyEducation
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Pharos is proud to unveil the "Intelligence Partners" of the Pharos RealFi Alliance, a cohort dedicated to bringing radical transparency and institutional-grade research to the RWA ecosystem Welcome to the alliance: 🔹Research & Data: Dune Four Pillars Web3Caff Research (外捕研究) 🔹Institutional Rails: Anchorage Digital ⚓️ Yield Network AquaFlux 🔹Infra: Alchemy From deep-dive research to compliant rails, Pharos is bridging the information gap for global finance ⚓
0:10

Pharos is proud to unveil the "Intelligence Partners" of the Pharos RealFi Alliance, a cohort dedicated to bringing radical transparency and institutional-grade research to the RWA ecosystem Welcome to the alliance: 🔹Research & Data: Dune Four Pillars Web3Caff Research (外捕研究) 🔹Institutional Rails: Anchorage Digital ⚓️ Yield Network AquaFlux 🔹Infra: Alchemy From deep-dive research to compliant rails, Pharos is bridging the information gap for global finance ⚓

Pharos | Mainnet Arc

43,535 views • 4 months ago

🚨JUST IN: WORLD'S LARGEST $ETH HOLDERS REVEALED According to a new research report from Arkham, these are the entities that have the world's biggest Ethereum stacks... Binance [4.16M ETH] BlackRock [3.42M ETH] Coinbase 🛡️ [2.9M ETH] Thomas (Tom) Lee (not drummer) FundstratDirect.com Bitmine (NYSE-BMNR) $ETH [4.1M ETH] Upbit Korea [1.52M ETH]
0:18

🚨JUST IN: WORLD'S LARGEST $ETH HOLDERS REVEALED According to a new research report from Arkham, these are the entities that have the world's biggest Ethereum stacks... Binance [4.16M ETH] BlackRock [3.42M ETH] Coinbase 🛡️ [2.9M ETH] Thomas (Tom) Lee (not drummer) FundstratDirect.com Bitmine (NYSE-BMNR) $ETH [4.1M ETH] Upbit Korea [1.52M ETH]

BSCN

54,621 views • 5 months ago

My top choice for trading tools ↓ → S-Tier (Professional Edge) • Nansen 🧭 – smart money tracking, wallet labels, best-in-class onchain intelligence • Arkham – free Nansen alternative that's good enough for 90%+ of traders • glassnode – unbeatable Bitcoin/Ethereum onchain metrics, institutional standard → A-Tier (Essentials) • CryptoQuant.com – exchange flows, whale movements, derivative data pros rely on • DefiLlama.com – TVL, DEX volumes, token unlocks all in one place • Dune – custom dashboards for most protocols • CoinGlass – funding rates, liquidations, long/short ratios for futures traders → B-Tier (Solid Tools) • Messari by Blockworks – research-grade data, but paywalled features aren't worth it • 👉 follow @Artemis – clean L1/L2 comparisons, app analytics • CoinGecko – price tracking, simple charts, good for quick checks • CoinMarketCap – same as CoinGecko, just heavier and slower • CryptoRank.io – ATH tracking, category performance, newly listed coins Tbh, traders overpay for tools they don't need. The free alternatives are more than enough to trade the market.
0:16

My top choice for trading tools ↓ → S-Tier (Professional Edge) • Nansen 🧭 – smart money tracking, wallet labels, best-in-class onchain intelligence • Arkham – free Nansen alternative that's good enough for 90%+ of traders • glassnode – unbeatable Bitcoin/Ethereum onchain metrics, institutional standard → A-Tier (Essentials) • CryptoQuant.com – exchange flows, whale movements, derivative data pros rely on • DefiLlama.com – TVL, DEX volumes, token unlocks all in one place • Dune – custom dashboards for most protocols • CoinGlass – funding rates, liquidations, long/short ratios for futures traders → B-Tier (Solid Tools) • Messari by Blockworks – research-grade data, but paywalled features aren't worth it • 👉 follow @Artemis – clean L1/L2 comparisons, app analytics • CoinGecko – price tracking, simple charts, good for quick checks • CoinMarketCap – same as CoinGecko, just heavier and slower • CryptoRank.io – ATH tracking, category performance, newly listed coins Tbh, traders overpay for tools they don't need. The free alternatives are more than enough to trade the market.

Stacy Muur

39,752 views • 5 months ago

New Records Raise Questions About NIH's Kitten Research in Maryland Seven years ago, our 7News DC investigation helped expose and shut down a controversial Dept. of Agriculture program that bred, infected, and killed thousands of kittens for taxpayer-funded research. Many Americans believed it had ended. Now, newly obtained records obtained by White Coat Waste raise questions about whether similar NIH supported toxoplasmosis research involving cats has continued at the agency's Bethesda campus. Listen to Justin Goodman with White Coat Waste Project in the video below. Today, documents show the cats used in the research are being adopted out instead of euthanized but internal records are raising serious questions about the adoption process. Our investigation examines the records, the science behind the research, the Trump Administration's push for alternatives to animal testing, and why critics say taxpayers deserve answers. Despite repeated requests, NIH has neither confirmed nor denied whether the research is still ongoing, even though records show the animal-use protocol remains approved through the end of 2026. Watch the full 7News I-Team investigation today at 5 pm. #7News #ITeam #Investigation #NIH #AnimalResearch #Accountability #M
0:15

New Records Raise Questions About NIH's Kitten Research in Maryland Seven years ago, our 7News DC investigation helped expose and shut down a controversial Dept. of Agriculture program that bred, infected, and killed thousands of kittens for taxpayer-funded research. Many Americans believed it had ended. Now, newly obtained records obtained by White Coat Waste raise questions about whether similar NIH supported toxoplasmosis research involving cats has continued at the agency's Bethesda campus. Listen to Justin Goodman with White Coat Waste Project in the video below. Today, documents show the cats used in the research are being adopted out instead of euthanized but internal records are raising serious questions about the adoption process. Our investigation examines the records, the science behind the research, the Trump Administration's push for alternatives to animal testing, and why critics say taxpayers deserve answers. Despite repeated requests, NIH has neither confirmed nor denied whether the research is still ongoing, even though records show the animal-use protocol remains approved through the end of 2026. Watch the full 7News I-Team investigation today at 5 pm. #7News #ITeam #Investigation #NIH #AnimalResearch #Accountability #M

Scott Taylor

16,532 views • 29 days ago

Sharif University of Technology — Iran’s top engineering university — was hit by US–Israeli airstrikes. Damage: labs, buildings, mosque, and possibly a data center; nearby gas facility hit. Iran says a bunker-buster bomb was used. Sharif is often called “Iran’s MIT” — a core hub for science, engineering, and elite talent. It trains many of Iran’s: Top engineers Tech entrepreneurs Scientists (including fields tied to aerospace, nuclear, and advanced research).
0:11

Sharif University of Technology — Iran’s top engineering university — was hit by US–Israeli airstrikes. Damage: labs, buildings, mosque, and possibly a data center; nearby gas facility hit. Iran says a bunker-buster bomb was used. Sharif is often called “Iran’s MIT” — a core hub for science, engineering, and elite talent. It trains many of Iran’s: Top engineers Tech entrepreneurs Scientists (including fields tied to aerospace, nuclear, and advanced research).

Clash Report

95,645 views • 4 months ago

New research shows that many densely populated coastal cities are sinking faster than the ocean around them is rising. The land drops as groundwater is pumped out from below and the weight of the city presses down, so the real rise in sea level people feel is far worse than the global average. It is a slow threat that makes no noise, until one day the water that used to stay out simply does not.
0:15

New research shows that many densely populated coastal cities are sinking faster than the ocean around them is rising. The land drops as groundwater is pumped out from below and the weight of the city presses down, so the real rise in sea level people feel is far worse than the global average. It is a slow threat that makes no noise, until one day the water that used to stay out simply does not.

Anonymous

56,806 views • 3 days ago

Every movement starts somewhere. Ours didn’t start with hype. It started with a mirror. The Birth of The Mirror Hub The Mirror Hub was not born from hype or shortcuts. It was born from conviction. In early 2025, Mrs Evelyn Ayawari Damilola Spare stood at the center of an idea one that believed African youths deserved more than surface-level Web3 exposure. They deserved depth, structure, ownership, and a future-proof path. By her side was her husband, co-founder, strategist, and builder providing strength, balance, and execution power. Together, they laid the foundation of what would become The Mirror Hub. The vision was simple but bold: To reflect Web3 education, innovation, and opportunity back to the next generation clearly, truthfully, and powerfully. From that vision, a small team formed. Then the team grew. By mid-2025, The Mirror Hub had evolved into a core team of 15 committed individuals, cutting across: Community Building Education & Training Marketing & Growth Content Creation Development Research Consultation Program Management Different backgrounds. Different strengths. One mission.
0:20

Every movement starts somewhere. Ours didn’t start with hype. It started with a mirror. The Birth of The Mirror Hub The Mirror Hub was not born from hype or shortcuts. It was born from conviction. In early 2025, Mrs Evelyn Ayawari Damilola Spare stood at the center of an idea one that believed African youths deserved more than surface-level Web3 exposure. They deserved depth, structure, ownership, and a future-proof path. By her side was her husband, co-founder, strategist, and builder providing strength, balance, and execution power. Together, they laid the foundation of what would become The Mirror Hub. The vision was simple but bold: To reflect Web3 education, innovation, and opportunity back to the next generation clearly, truthfully, and powerfully. From that vision, a small team formed. Then the team grew. By mid-2025, The Mirror Hub had evolved into a core team of 15 committed individuals, cutting across: Community Building Education & Training Marketing & Growth Content Creation Development Research Consultation Program Management Different backgrounds. Different strengths. One mission.

The Mirror Hub

18,234 views • 7 months ago

A lot of questions if I’m starving eating under 1800 calories a day No I’m actually forcing myself to eat Every other cut, I’m starving eating 2500 calories a day Using Retatrutide this cut is a game changer My mind is not consumed by “when is my next meal?” Zero temptation to “cheat” or go on a junk food binge If you want to take your cut to the next level use the link below to order Retatrutide from Elite Research Enter code YUKON10 in the box at the top when you checkout and you will save 10% off your entire order
0:16

Sensitive content

A lot of questions if I’m starving eating under 1800 calories a day No I’m actually forcing myself to eat Every other cut, I’m starving eating 2500 calories a day Using Retatrutide this cut is a game changer My mind is not consumed by “when is my next meal?” Zero temptation to “cheat” or go on a junk food binge If you want to take your cut to the next level use the link below to order Retatrutide from Elite Research Enter code YUKON10 in the box at the top when you checkout and you will save 10% off your entire order

BowTiedYukon

38,515 views • 1 year ago

I just launched a new $15,000 campaign on Wallchain It's promoting the bot I built with Claude to profit from Catapult Trade Yes, you read that right - first time ever a creator is running their own creator campaign. To earn even more, I want more creators helping me spread the word about the bot. I did my research on Catapult, and I think rallying my community around it early is going to pay off. They're backed by KuCoin and just launched a campaign with Binance, and I know what that usually means. Apply for the campaign - let's profit from algo-tokens together 👇
0:17

I just launched a new $15,000 campaign on Wallchain It's promoting the bot I built with Claude to profit from Catapult Trade Yes, you read that right - first time ever a creator is running their own creator campaign. To earn even more, I want more creators helping me spread the word about the bot. I did my research on Catapult, and I think rallying my community around it early is going to pay off. They're backed by KuCoin and just launched a campaign with Binance, and I know what that usually means. Apply for the campaign - let's profit from algo-tokens together 👇

ZEUS⚡️

12,685 views • 1 month ago

What if crypto research was as easy as chatting with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠
0:11

What if crypto research was as easy as chatting with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠

Alaoui Capital

34,900 views • 1 year ago

Introducing Rocket AI. The world's most rewarding AI Agent. Built on the UpRock network, Rocket combines live web intelligence with powerful AI capabilities to help you research, discover, and understand what's happening right now — not yesterday. Powered by UpRock AI, Rocket can already help with: → Live Web Intelligence → Deep Research → Semantic Video Search → Real-Time Intelligence Retrieval Yesterday, we opened Rocket AI to our first 12,000 Founding Copilots inside Discord! Now the real work begins. Throughout the beta, our community will help train Rocket by sharing feedback, discovering new workflows, reporting bugs, and shaping the future of the product. To support this, we've opened a 100,000 UPT Contributor Pool for valuable beta contributions. If you're part of the beta, head over to our Discord and join rocket-ai-copilots. Every insight helps make Rocket smarter. The world's most rewarding AI Agent has officially landed. -------------------------- Not part of the first 12K? Join our Discord today. Future beta expansions, product updates, and contributor rewards will all happen there first.
0:10

Introducing Rocket AI. The world's most rewarding AI Agent. Built on the UpRock network, Rocket combines live web intelligence with powerful AI capabilities to help you research, discover, and understand what's happening right now — not yesterday. Powered by UpRock AI, Rocket can already help with: → Live Web Intelligence → Deep Research → Semantic Video Search → Real-Time Intelligence Retrieval Yesterday, we opened Rocket AI to our first 12,000 Founding Copilots inside Discord! Now the real work begins. Throughout the beta, our community will help train Rocket by sharing feedback, discovering new workflows, reporting bugs, and shaping the future of the product. To support this, we've opened a 100,000 UPT Contributor Pool for valuable beta contributions. If you're part of the beta, head over to our Discord and join rocket-ai-copilots. Every insight helps make Rocket smarter. The world's most rewarding AI Agent has officially landed. -------------------------- Not part of the first 12K? Join our Discord today. Future beta expansions, product updates, and contributor rewards will all happen there first.

UpRock

17,764 views • 1 month ago

💻Tired of running so many slow, expensive benchmark evals across every checkpoint? Try ✨BenchPress✨ at provide a few benchmark scores, then get predictions for the remaining ~100 benchmarks, with trust probabilities and calibrated 90% prediction intervals. How does this work? In his original post ( Dimitris Papailiopoulos first tried the idea as a fun question: collect model-by-benchmark scores into a matrix, find its low-rank structure, and use matrix completion to predict missing benchmark scores from a few observed ones. We expanded this into a full system: a fully audited 84-model x 133-benchmark score matrix, an optimized matrix-completion predictor, and a reliability layer for trust probabilities and 90% prediction intervals. Beyond predicting missing scores, we also suggest practical seed benchmark sets. The five-probe set {GPQA-D, HLE, Codeforces, MMLU-Pro, ARC-AGI-1} recovers the rest of a model's public score profile with a MedAE of 3.93 points. A lower-cost set {GPQA-D, MMLU-Pro, Aider Polyglot, MATH-500, AIME 2026} reaches 4.55 points. See more details below 🧵1/7 This work is with Dimitris Papailiopoulos at AI Frontiers, a boutique research lab inside Microsoft Research.
0:14

💻Tired of running so many slow, expensive benchmark evals across every checkpoint? Try ✨BenchPress✨ at provide a few benchmark scores, then get predictions for the remaining ~100 benchmarks, with trust probabilities and calibrated 90% prediction intervals. How does this work? In his original post ( Dimitris Papailiopoulos first tried the idea as a fun question: collect model-by-benchmark scores into a matrix, find its low-rank structure, and use matrix completion to predict missing benchmark scores from a few observed ones. We expanded this into a full system: a fully audited 84-model x 133-benchmark score matrix, an optimized matrix-completion predictor, and a reliability layer for trust probabilities and 90% prediction intervals. Beyond predicting missing scores, we also suggest practical seed benchmark sets. The five-probe set {GPQA-D, HLE, Codeforces, MMLU-Pro, ARC-AGI-1} recovers the rest of a model's public score profile with a MedAE of 3.93 points. A lower-cost set {GPQA-D, MMLU-Pro, Aider Polyglot, MATH-500, AIME 2026} reaches 4.55 points. See more details below 🧵1/7 This work is with Dimitris Papailiopoulos at AI Frontiers, a boutique research lab inside Microsoft Research.

Yuchen Zeng

30,995 views • 1 month ago

The date is set. Introducing JioBlackRock Flexi Cap Fund — India’s first active equity fund powered by Systematic Active Equity* (SAE). Systematic Active Equity is BlackRock’s proprietary investment approach that processes the signals into actionable investment opportunities. Where AI meets human expertise, and traditional + alternate data come together to uncover smarter investment opportunities. This isn’t just another Flexi Cap Fund. It’s a new way to invest — intelligent, agile, and built for scale. NFO period: 23 Sep – 7 Oct 2025. *A technology-driven** investment approach that combines human expertise with a data-driven model to build a portfolio. ** The systematic approach involves utilizing inputs from the Fund Managers and signal research scores shared by BlackRock Inc. Stay tuned. The future of investing just got sharper. #JioBlackRock #FlexiCapFund #NFO
0:12

The date is set. Introducing JioBlackRock Flexi Cap Fund — India’s first active equity fund powered by Systematic Active Equity* (SAE). Systematic Active Equity is BlackRock’s proprietary investment approach that processes the signals into actionable investment opportunities. Where AI meets human expertise, and traditional + alternate data come together to uncover smarter investment opportunities. This isn’t just another Flexi Cap Fund. It’s a new way to invest — intelligent, agile, and built for scale. NFO period: 23 Sep – 7 Oct 2025. *A technology-driven** investment approach that combines human expertise with a data-driven model to build a portfolio. ** The systematic approach involves utilizing inputs from the Fund Managers and signal research scores shared by BlackRock Inc. Stay tuned. The future of investing just got sharper. #JioBlackRock #FlexiCapFund #NFO

JioBlackRock Mutual Fund

28,318 views • 11 months ago

Last week I posted a rant about Indian VCs. Specifically, a red-orange logo firm that passed on multiple research labs and then confidently told me the Chinese are winning in AI. I felt it, a lot of you felt it. So here's what I'm doing about it - I am getting into the system. Over the weekend I leased out a 3000+ sq ft space to convert into a deep AI research incubator in Indiranagar, Bangalore. If you're a pre-seed founder with a deep tech or AI research idea - and you've been burnt by VCs who want traction before they'll give you the time of day - this is for you. Here's what I'm putting on the table: - A place to work, think, and build without distraction - Introductions to investors who actually understand early stage - The best research minds in the same room as you - 3 months to prove your thesis (Important) - And to promising projects - a stipend; so survival isn't the thing eating your focus No pedigree filter. No "come back when you have PMF." No sitting across the table asking why you're doing too many things while doing nothing yourself. My Creds? - Raised $5M + from a16z and others for my first startup as a solo founder - before I turned 24 - Exited to build something meaningful in AI - now running Conscious Engines (Conscious Engines), focused on small models doing big things - Helped 10+ teams with fundraising and operational mettle in their 0 to 1 journey - I know what 'early' looks like, and I know what it needs. What do I get in return? (candid) - New Friends and mutual contacts - Peer group to review our own work at Conscious Engines - Maybe the ability to put some $ early in on promising projects - Provenance --- To beat the system, sometimes you have to become the system. This will probably be hard. It might not work. But I have more risk appetite than the red-orange logo VCs who inspired this - so that's something. Founders: Join the WhatsApp Community. VCs: DM me. I have privilege. I would like to share it.
0:15

Last week I posted a rant about Indian VCs. Specifically, a red-orange logo firm that passed on multiple research labs and then confidently told me the Chinese are winning in AI. I felt it, a lot of you felt it. So here's what I'm doing about it - I am getting into the system. Over the weekend I leased out a 3000+ sq ft space to convert into a deep AI research incubator in Indiranagar, Bangalore. If you're a pre-seed founder with a deep tech or AI research idea - and you've been burnt by VCs who want traction before they'll give you the time of day - this is for you. Here's what I'm putting on the table: - A place to work, think, and build without distraction - Introductions to investors who actually understand early stage - The best research minds in the same room as you - 3 months to prove your thesis (Important) - And to promising projects - a stipend; so survival isn't the thing eating your focus No pedigree filter. No "come back when you have PMF." No sitting across the table asking why you're doing too many things while doing nothing yourself. My Creds? - Raised $5M + from a16z and others for my first startup as a solo founder - before I turned 24 - Exited to build something meaningful in AI - now running Conscious Engines (Conscious Engines), focused on small models doing big things - Helped 10+ teams with fundraising and operational mettle in their 0 to 1 journey - I know what 'early' looks like, and I know what it needs. What do I get in return? (candid) - New Friends and mutual contacts - Peer group to review our own work at Conscious Engines - Maybe the ability to put some $ early in on promising projects - Provenance --- To beat the system, sometimes you have to become the system. This will probably be hard. It might not work. But I have more risk appetite than the red-orange logo VCs who inspired this - so that's something. Founders: Join the WhatsApp Community. VCs: DM me. I have privilege. I would like to share it.

Kautuk | Conscious Engines

81,141 views • 2 months ago

Got some exciting news to share! Arcium has acquired the tech and team from our largest Web2 competitor! and Solana just accellerated by 100x, the global supercomputer is evolving at an insane speed! Inpher has been leading in the confidential AI space for many years, raising over $25M from J.P. Morgan and others. The Inpher team developed the most advanced protocols for confidential AI and federated learning over the span of eight years, publishing some of the most foundational research in the MPC space for efficient ML, real number arithmetic, confidential tensor operations and oblivious algorithms. Inpher has achieved prestigious projects in the defense, finance and healthcare sectors and is now part of Arcium. Our new Arcium team members are amazing engineers and researchers, who have spent many years solving some of the most complex problems in secure Multi-Party computation and confidential computing, performing foundational research at Harvard, Berkeley, EPFL, and other prestigious institutions. I'm truly proud that we have onboarded this tremendous team – the smartest people I have ever had the pleasure to work with – into our big Arcium vision of building the hyper-encrypted internet with our global supercomputer. I am especially excited about not just integrating the most efficient confididential AI technology into Arcium but also fully open sourcing all of the acquired patents. The internet will never be the same!
0:18

Got some exciting news to share! Arcium has acquired the tech and team from our largest Web2 competitor! and Solana just accellerated by 100x, the global supercomputer is evolving at an insane speed! Inpher has been leading in the confidential AI space for many years, raising over $25M from J.P. Morgan and others. The Inpher team developed the most advanced protocols for confidential AI and federated learning over the span of eight years, publishing some of the most foundational research in the MPC space for efficient ML, real number arithmetic, confidential tensor operations and oblivious algorithms. Inpher has achieved prestigious projects in the defense, finance and healthcare sectors and is now part of Arcium. Our new Arcium team members are amazing engineers and researchers, who have spent many years solving some of the most complex problems in secure Multi-Party computation and confidential computing, performing foundational research at Harvard, Berkeley, EPFL, and other prestigious institutions. I'm truly proud that we have onboarded this tremendous team – the smartest people I have ever had the pleasure to work with – into our big Arcium vision of building the hyper-encrypted internet with our global supercomputer. I am especially excited about not just integrating the most efficient confididential AI technology into Arcium but also fully open sourcing all of the acquired patents. The internet will never be the same!

Yannik Schrade

156,421 views • 1 year ago

HE BUILT A 100% PRIVATE SECOND BRAIN IN OBSIDIAN TO AUTOMATE HIS RESEARCH USING HERMES AGENT AND NOTEBOOKLM He visualizes his entire knowledge graph on-premise without paying for cloud subscriptions By connecting Hermes Agent and NotebookLM, developers can index hundreds of documents and generate content locally Four components of this local knowledge architecture: 1. Memory layer - set up an Obsidian PARA vault to store markdown notes and profiles 2. Agent layer - connect Hermes Agent to write files and run background scripts 3. Synthesis layer - use NotebookLM to create structured overviews from raw transcripts 4. Automation layer - trigger cron tasks to synchronize files and calendar standups The setup saves over $4,000 annually while keeping all private files offline Get the full step-by-step configuration guide and setup commands in the article below ↓
0:16

HE BUILT A 100% PRIVATE SECOND BRAIN IN OBSIDIAN TO AUTOMATE HIS RESEARCH USING HERMES AGENT AND NOTEBOOKLM He visualizes his entire knowledge graph on-premise without paying for cloud subscriptions By connecting Hermes Agent and NotebookLM, developers can index hundreds of documents and generate content locally Four components of this local knowledge architecture: 1. Memory layer - set up an Obsidian PARA vault to store markdown notes and profiles 2. Agent layer - connect Hermes Agent to write files and run background scripts 3. Synthesis layer - use NotebookLM to create structured overviews from raw transcripts 4. Automation layer - trigger cron tasks to synchronize files and calendar standups The setup saves over $4,000 annually while keeping all private files offline Get the full step-by-step configuration guide and setup commands in the article below ↓

marfin

20,684 views • 1 month ago

MoonPay is now open to AI agents, powered by PayBox all you need is a Claude or ChatGPT account from there, you can research, predict, onramp, convert, trade, offramp, and shop just by chatting with the agent on your smartphone and computer here's how to get started: 1️⃣ copy this URL: 2️⃣ open Claude with this link and the PayBox connector arrives pre-filled, just tap Add. Make sure you're signed in to Claude in this browser first: 3️⃣ If the pre-filled window doesn't appear, add it manually: go to Customize → Connectors, add a custom connector, set Name to "PayBox", and paste the URL from step 1. 4️⃣ "Connect" next to the new PayBox connector and sign in to link your account. when you open Claude next, just ask "is my PayBox connected" and you're ready to roll learn about it at and welcome to the future of agentic payments, commerce, trading, shopping, and so much more...
0:16

MoonPay is now open to AI agents, powered by PayBox all you need is a Claude or ChatGPT account from there, you can research, predict, onramp, convert, trade, offramp, and shop just by chatting with the agent on your smartphone and computer here's how to get started: 1️⃣ copy this URL: 2️⃣ open Claude with this link and the PayBox connector arrives pre-filled, just tap Add. Make sure you're signed in to Claude in this browser first: 3️⃣ If the pre-filled window doesn't appear, add it manually: go to Customize → Connectors, add a custom connector, set Name to "PayBox", and paste the URL from step 1. 4️⃣ "Connect" next to the new PayBox connector and sign in to link your account. when you open Claude next, just ask "is my PayBox connected" and you're ready to roll learn about it at and welcome to the future of agentic payments, commerce, trading, shopping, and so much more...

MoonPay 🟣

662,616 views • 8 days ago

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.🔥
0:19

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 views • 5 months ago

Introducing ml-intern, the agent that just automated the post-training team Hugging Face It's an open-source implementation of the real research loop that our ML researchers do every day. You give it a prompt, it researches papers, goes through citations, implements ideas in GPU sandboxes, iterates and builds deeply research-backed models for any use case. All built on the Hugging Face ecosystem. It can pull off crazy things: We made it train the best model for scientific reasoning. It went through citations from the official benchmark paper. Found OpenScience and NemoTron-CrossThink, added 7 difficulty-filtered dataset variants from ARC/SciQ/MMLU, and ran 12 SFT runs on Qwen3-1.7B. This pushed the score 10% → 32% on GPQA in under 10h. Claude Code's best: 22.99%. In healthcare settings it inspected available datasets, concluded they were too low quality, and wrote a script to generate 1100 synthetic data points from scratch for emergencies, hedging, multilingual etc. Then upsampled 50x for training. Beat Codex on HealthBench by 60%. For competitive mathematics, it wrote a full GRPO script, launched training with A100 GPUs on watched rewards claim and then collapse, and ran ablations until it succeeded. All fully backed by papers, autonomously. How it works? ml-intern makes full use of the HF ecosystem: - finds papers on arxiv and reads them fully, walks citation graphs, pulls datasets referenced in methodology sections and on - browses the Hub, reads recent docs, inspects datasets and reformats them before training so it doesn't waste GPU hours on bad data - launches training jobs on HF Jobs if no local GPUs are available, monitors runs, reads its own eval outputs, diagnoses failures, retrains ml-intern deeply embodies how researchers work and think. It knows how data should look like and what good models feel like. Releasing it today as a CLI and a web app you can use from your phone/desktop. CLI: Web + mobile: And the best part? We also provisioned 1k$ GPU resources and Anthropic credits for the quickest among you to use.
0:16

Introducing ml-intern, the agent that just automated the post-training team Hugging Face It's an open-source implementation of the real research loop that our ML researchers do every day. You give it a prompt, it researches papers, goes through citations, implements ideas in GPU sandboxes, iterates and builds deeply research-backed models for any use case. All built on the Hugging Face ecosystem. It can pull off crazy things: We made it train the best model for scientific reasoning. It went through citations from the official benchmark paper. Found OpenScience and NemoTron-CrossThink, added 7 difficulty-filtered dataset variants from ARC/SciQ/MMLU, and ran 12 SFT runs on Qwen3-1.7B. This pushed the score 10% → 32% on GPQA in under 10h. Claude Code's best: 22.99%. In healthcare settings it inspected available datasets, concluded they were too low quality, and wrote a script to generate 1100 synthetic data points from scratch for emergencies, hedging, multilingual etc. Then upsampled 50x for training. Beat Codex on HealthBench by 60%. For competitive mathematics, it wrote a full GRPO script, launched training with A100 GPUs on watched rewards claim and then collapse, and ran ablations until it succeeded. All fully backed by papers, autonomously. How it works? ml-intern makes full use of the HF ecosystem: - finds papers on arxiv and reads them fully, walks citation graphs, pulls datasets referenced in methodology sections and on - browses the Hub, reads recent docs, inspects datasets and reformats them before training so it doesn't waste GPU hours on bad data - launches training jobs on HF Jobs if no local GPUs are available, monitors runs, reads its own eval outputs, diagnoses failures, retrains ml-intern deeply embodies how researchers work and think. It knows how data should look like and what good models feel like. Releasing it today as a CLI and a web app you can use from your phone/desktop. CLI: Web + mobile: And the best part? We also provisioned 1k$ GPU resources and Anthropic credits for the quickest among you to use.

Aksel

1,265,846 views • 3 months ago