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

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Stacy Muur

77,670 subscribers

353,746 просмотров • 2 лет назад •via X (Twitter)

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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 ⚓
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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

43,504 просмотров • 4 месяцев назад

🚨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]
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🚨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 просмотров • 5 месяцев назад

.Sentient has just integrated Messari 's data and research into its AI-powered search platform, Sentient Chat. This partnership basically allows users to access Messari’s research directly through the Agent Hub in Sentient Chat where they can get instant answers and insights from Messari reports. The integration is done via Messari Copilot, which means users can now easily get to Messari’s crypto data without having to dig through extensive reports themselves. Messari's data and research now feeds into Sentient’s Agentic Perplexity, here users can access this in the Agent Hub for all their crypto related questions. Integrating Messari’s research now helps provide an open & community-driven platform for AI-powered search, ensuring that users have access to the best crypto data and insights in real time, while also expanding the functionality of Sentient’s Agent Hub, where users can find and use a growing library of AI agents for various tasks. Now I don't know about you but I know where I'll be getting my stats from moving forward.
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.Sentient has just integrated Messari 's data and research into its AI-powered search platform, Sentient Chat. This partnership basically allows users to access Messari’s research directly through the Agent Hub in Sentient Chat where they can get instant answers and insights from Messari reports. The integration is done via Messari Copilot, which means users can now easily get to Messari’s crypto data without having to dig through extensive reports themselves. Messari's data and research now feeds into Sentient’s Agentic Perplexity, here users can access this in the Agent Hub for all their crypto related questions. Integrating Messari’s research now helps provide an open & community-driven platform for AI-powered search, ensuring that users have access to the best crypto data and insights in real time, while also expanding the functionality of Sentient’s Agent Hub, where users can find and use a growing library of AI agents for various tasks. Now I don't know about you but I know where I'll be getting my stats from moving forward.

Polygon Stats

32,701 просмотров • 1 год назад

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
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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 просмотров • 10 дней назад

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).
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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 просмотров • 3 месяцев назад

Let's continue clipping fascinating fragments from MOFs J. Am. Chem. Soc.. This time, a SBU, revealing a new way to synthesizing molecular clusters. Kudos to Dongsik Nam and the entire team! European Research Council (ERC) Catalan Institute of Nanoscience & Nanotechnology ICREA Community Universitat Autònoma de Barcelona Link:
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Let's continue clipping fascinating fragments from MOFs J. Am. Chem. Soc.. This time, a SBU, revealing a new way to synthesizing molecular clusters. Kudos to Dongsik Nam and the entire team! European Research Council (ERC) Catalan Institute of Nanoscience & Nanotechnology ICREA Community Universitat Autònoma de Barcelona Link:

NanoUp - Maspoch Group

21,058 просмотров • 1 год назад

1/ Yesterday I posted about the revenue inconsistency in the “research” reports that Pudgy is publishing through CoinDesk. In an odd turn, these reports have now been updated to link my tweet as the source for the “1mm toys sold” claim that is at the root of the issue. As you can see below, the report from 2 months ago links out to my post yesterday questioning the numbers. This led me to go out and research and I found a series of inconsistencies from the Pudgy team wrt the revenue numbers they’ve shared through time.
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1/ Yesterday I posted about the revenue inconsistency in the “research” reports that Pudgy is publishing through CoinDesk. In an odd turn, these reports have now been updated to link my tweet as the source for the “1mm toys sold” claim that is at the root of the issue. As you can see below, the report from 2 months ago links out to my post yesterday questioning the numbers. This led me to go out and research and I found a series of inconsistencies from the Pudgy team wrt the revenue numbers they’ve shared through time.

Sergito ❚ ❚

68,700 просмотров • 4 месяцев назад

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 – 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.
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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 – 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

39,642 просмотров • 5 месяцев назад

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.
0:16

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

elvis

66,903 просмотров • 3 месяцев назад

New on Fiscal.ai (Now at @Fiscal_ai) 🎉 1) One-click summaries and custom queries on ALL filings now supporting longer documents like full 10K/Qs. 2) One-click summaries and custom queries on all analyst equity research reports. 3) UI/UX improvements on unstructured content supporting downloading, exporting and fullscreen for a better reading experience. 4) (Too many) bug fixes, currency conversion fixes and tons of small customer requests/quality of life improvements. Also fixed some infrastructure which was introducing performance issues. 5) Apply filters with natural language on the screener. 6) Morningstar Research Bulls Say & Bears Say in Company Overview Roadmap to be completed in July is very big. All live on the platform in v4.5.7 right now.
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New on Fiscal.ai (Now at @Fiscal_ai) 🎉 1) One-click summaries and custom queries on ALL filings now supporting longer documents like full 10K/Qs. 2) One-click summaries and custom queries on all analyst equity research reports. 3) UI/UX improvements on unstructured content supporting downloading, exporting and fullscreen for a better reading experience. 4) (Too many) bug fixes, currency conversion fixes and tons of small customer requests/quality of life improvements. Also fixed some infrastructure which was introducing performance issues. 5) Apply filters with natural language on the screener. 6) Morningstar Research Bulls Say & Bears Say in Company Overview Roadmap to be completed in July is very big. All live on the platform in v4.5.7 right now.

Braden Dennis

17,086 просмотров • 1 год назад

I’m holding a hearing tomorrow at 2:30pm ET: “Plausible Mechanisms of COVID-19 Injections Causing Cancer and Attacks on Scientific Publications and Research.” We’ll hear from 6 doctors and a cancer survivor: - Angus Dalgleish, M.D. - Wafik S. El-Deiry, MD, PhD, FACP - sabine hazan md, - Saskia Mostert, M.D., PH.D. - Dr Aseem Malhotra - Julie Gralow - Tamika Felder Tune in on my X account and find more information at the link below⬇️
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I’m holding a hearing tomorrow at 2:30pm ET: “Plausible Mechanisms of COVID-19 Injections Causing Cancer and Attacks on Scientific Publications and Research.” We’ll hear from 6 doctors and a cancer survivor: - Angus Dalgleish, M.D. - Wafik S. El-Deiry, MD, PhD, FACP - sabine hazan md, - Saskia Mostert, M.D., PH.D. - Dr Aseem Malhotra - Julie Gralow - Tamika Felder Tune in on my X account and find more information at the link below⬇️

Senator Ron Johnson

402,749 просмотров • 1 месяц назад

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.
0:18

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

elvis

464,399 просмотров • 3 месяцев назад

We took a 30B model and split it in two to write tokens in parallel instead of one at a time. Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch. We found it kept 98.7% of the original model’s quality at 2.42× faster generation.
0:13

We took a 30B model and split it in two to write tokens in parallel instead of one at a time. Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch. We found it kept 98.7% of the original model’s quality at 2.42× faster generation.

NVIDIA AI

757,111 просмотров • 17 дней назад

OPENAI LAUNCHES FREE AI COURSES OpenAI’s new free courses teach you how to prompt like a pro, remix with Sora, and how to use ChatGPT at work. Top highlights include: ChatGPT at Work - Deep dives into prompt engineering, research, and LLMs Sora Tutorials - Learn to storyboard, blend, loop, and remix video AI for Educators, Devs & Businesses - From K-12 to enterprise use Get smarter before your coworkers do. Source: Poonam Soni
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OPENAI LAUNCHES FREE AI COURSES OpenAI’s new free courses teach you how to prompt like a pro, remix with Sora, and how to use ChatGPT at work. Top highlights include: ChatGPT at Work - Deep dives into prompt engineering, research, and LLMs Sora Tutorials - Learn to storyboard, blend, loop, and remix video AI for Educators, Devs & Businesses - From K-12 to enterprise use Get smarter before your coworkers do. Source: Poonam Soni

Mario Nawfal

118,834 просмотров • 1 год назад

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
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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 просмотров • 1 год назад

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

18,098 просмотров • 6 месяцев назад

BioAgents 🤝 x402 We just gave AI research agents the ability to pay for data and services on their own. Bio Protocol agents now use Coinbase Developer Platform🛡️'s x402 + Embedded Wallets for instant USDC micropayments on Base. What this unlocks: • AI agents pay each other and human researchers for specialized analysis • Pay-per-query instead of subscriptions • On-demand access to premium datasets • Hypothesis review marketplaces Imagine: An AI discovers a promising drug target, automatically commissions validation experiments, pays for the data, and refines its hypothesis - all without human intervention. BioAgents + x402 = a new scientific economy where AI, researchers, and labs seamlessly exchange intelligence and labor. The convergence of biotech, AI and onchain tech is here.
0:19

BioAgents 🤝 x402 We just gave AI research agents the ability to pay for data and services on their own. Bio Protocol agents now use Coinbase Developer Platform🛡️'s x402 + Embedded Wallets for instant USDC micropayments on Base. What this unlocks: • AI agents pay each other and human researchers for specialized analysis • Pay-per-query instead of subscriptions • On-demand access to premium datasets • Hypothesis review marketplaces Imagine: An AI discovers a promising drug target, automatically commissions validation experiments, pays for the data, and refines its hypothesis - all without human intervention. BioAgents + x402 = a new scientific economy where AI, researchers, and labs seamlessly exchange intelligence and labor. The convergence of biotech, AI and onchain tech is here.

Bio Protocol

65,892 просмотров • 8 месяцев назад

24/5 equities pricing, tokenized treasuries, and price-based prediction markets. This is what modern finance looks like. More from the week on Sei ↓ 🔴 Chainlink 24/5 U.S. Equities Data Streams went live, with Monaco set to be among the first venues to integrate: 🔴 Tokenized treasuries reached $9B — still just 0.1% of the $8T corporate cash market: 🔴 Sei crossed 5B total transactions as daily active addresses approach all-time highs: 🔴 Token Relations reported 214% YoY DAU growth on Sei, with activity surging across apps like Yei Finance, Takara Lend💎, and Match Fighters: 🔴 Blits went live with Tap Trading, introducing price-based prediction markets on Sei: 🔴 MystenLabs.sui and Sei Labs researchers co-authored "Sedna" — a research piece on sharding that addresses the latency-censorship tradeoff in high-throughput chains: 🔴 Sei Labs explored how stablecoin adoption extends U.S. monetary policy in a new research paper: Markets Move Faster on Sei. ($/acc)
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24/5 equities pricing, tokenized treasuries, and price-based prediction markets. This is what modern finance looks like. More from the week on Sei ↓ 🔴 Chainlink 24/5 U.S. Equities Data Streams went live, with Monaco set to be among the first venues to integrate: 🔴 Tokenized treasuries reached $9B — still just 0.1% of the $8T corporate cash market: 🔴 Sei crossed 5B total transactions as daily active addresses approach all-time highs: 🔴 Token Relations reported 214% YoY DAU growth on Sei, with activity surging across apps like Yei Finance, Takara Lend💎, and Match Fighters: 🔴 Blits went live with Tap Trading, introducing price-based prediction markets on Sei: 🔴 MystenLabs.sui and Sei Labs researchers co-authored "Sedna" — a research piece on sharding that addresses the latency-censorship tradeoff in high-throughput chains: 🔴 Sei Labs explored how stablecoin adoption extends U.S. monetary policy in a new research paper: Markets Move Faster on Sei. ($/acc)

Sei

144,421 просмотров • 5 месяцев назад

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.
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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

14,763 просмотров • 22 дней назад