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Watch GCSA AI Agent in action. 🎥⚡ Our expert-level vulnerability discovery engine just identified a new Edge 0-click RCE, proving its power in auditing massive and complex binary codebases where traditional methods struggle. Autonomous vulnerability research is no longer the future—it's here. 🛡️ #Cybersecurity #AIAgent #RCE #ZeroDay

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GCSA全球网络安全联盟

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someone built an AI RED TEAM that maps your entire attack surface as a knowledge graph, finds every vulnerability, then EXPLOITS them to root access AUTONOMOUSLY its called RedAmon, 9,000 templates. 17 node types, actual Metasploit shells, not reports, no pentesters needed 6 phases of autonomous recon: subdomain discovery, port scanning, http probing, resource enumeration, vulnerability scanning, MITRE mapping every finding stored in a Neo4j graph with 17 node types and 20+ relationship types. the AI reasons about the graph, finds attack paths, and runs actual Metasploit exploits, actual shells stress-tested with zero vulnerability data, zero exploit modules, one instruction find a CVE and exploit it, it went from empty database to root-level RCE in 20 steps, researched the exploit on the web, crafted a custom deserialization payload, debugged itself when the first attempt failed next try, the server responded with root access, the highest privilege level on any Linux system. full control over everything the target was running node-serialize 0.0.4, a package with a critical deserialization flaw (CVE-2017-5941, CVSS 9.8), the server takes your cookie, decodes it, and passes it straight into unserialize() which executes any code inside it, the AI figured this out on its own with no hints built on LangGraph + MCP tool servers for naabu, nuclei, curl, metasploit. hunts leaked secrets across GitHub repos, 40+ regex patterns for AWS keys, Stripe tokens, database creds
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AGIX | $AGX

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AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!

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Just wrapped an epic week at the Digital Chamber Blockchain Summit 2026 in DC. AI + blockchain + quantum + crypto are no longer buzzwords they’re converging in real time and Constellation is right at the forefront. Our engineers went from coders to orchestrators in months, building new products that weave digital evidence with agent orchestration. Fresh off a major acquisition, we’re expanding globally (Europe next!) with new credibility and unstoppable momentum. The future isn’t coming — it’s here.

Constellation²

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We built an open-source research platform for agents utilizing Andrej Karpathy's autoresearch agent. agentipedia Crowd-sourced research will be the single biggest impact point for AI in the next 5 years and agentipedia will be a platform to drive it. Our vision: > There are potentially millions of niche use cases of research agents building strategies, better models, operating procedures and more. PHD level science is possible through agent collaboration. > Right now, very few entities control the vast majority of resources that can power this research; we believe in the future where any curious soul can harness the same energy. > Agentipedia was created to let curious souls (ML Engineers, Executives/CEOs, Founders, Builders, or literally anyone) think of a hypothesis for any application and be met with a swarm of agents experimenting to see if its true. Collaboration will yield magnitudes of impact on our society that we have not yet seen. The simulators for several use cases like (drug discovery, autonomous driving) and more already exist today.
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We built an open-source research platform for agents utilizing Andrej Karpathy's autoresearch agent. agentipedia Crowd-sourced research will be the single biggest impact point for AI in the next 5 years and agentipedia will be a platform to drive it. Our vision: > There are potentially millions of niche use cases of research agents building strategies, better models, operating procedures and more. PHD level science is possible through agent collaboration. > Right now, very few entities control the vast majority of resources that can power this research; we believe in the future where any curious soul can harness the same energy. > Agentipedia was created to let curious souls (ML Engineers, Executives/CEOs, Founders, Builders, or literally anyone) think of a hypothesis for any application and be met with a swarm of agents experimenting to see if its true. Collaboration will yield magnitudes of impact on our society that we have not yet seen. The simulators for several use cases like (drug discovery, autonomous driving) and more already exist today.

invisible

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Redefining Web3 Gaming and AI Experiences! We are driven to deliver groundbreaking titles and proven technology. From a cutting-edge emotional AI engine to the top Web3 Mobile Game, the future of Web3 Gaming is powered by $XTER 🦖 Age of Dino A unique fusion of blockchain technology and strategy-packed gameplay, ranked as the #1 mobile Web3 game. ✨ Overworld A dark fantasy action-RPG combining epic battles with deep lore. 🐾 Palio An AI-powered simulation where cute animal heroes thrive in a world you create. 🌆 BlackDawn A mobile JRPG set in an anachronistic New York City. 🔫 City Shadows An urban battleground where survival and strategy are everything. 👹 Braves A mobile strategy game that blends monster collection with an anime-inspired universe. 🤖 BeFriend AI Our advanced emotional engine that adapts to you, creating personalized and engaging experiences like never before. This is the future, on-chain. Watch the $XTER evolution in action.

Xterio

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Type a prompt. Get a motion masterpiece. 🪄✨ Topview Vibe Editing is here to democratize motion graphics. We’ve taken the power of programmatic video and wrapped it in a simple AI agent that lives in your browser. From product launches to explainer videos: 1. Describe your vision 💬 2. Upload assets (or don't!) 📂 3. Watch the agent build it 🏗️ Professional motion design is no longer gatekept by complex software. 🎥 Reality Check: This video was created 100% with Vibe Editing. No external VFX, no tricks. The motion effects you see here are exactly what you can build today. Use code: LPS3TEDZ for 20% off!!! Remotion Claude
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Type a prompt. Get a motion masterpiece. 🪄✨ Topview Vibe Editing is here to democratize motion graphics. We’ve taken the power of programmatic video and wrapped it in a simple AI agent that lives in your browser. From product launches to explainer videos: 1. Describe your vision 💬 2. Upload assets (or don't!) 📂 3. Watch the agent build it 🏗️ Professional motion design is no longer gatekept by complex software. 🎥 Reality Check: This video was created 100% with Vibe Editing. No external VFX, no tricks. The motion effects you see here are exactly what you can build today. Use code: LPS3TEDZ for 20% off!!! Remotion Claude

TopviewAI

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“AI is no longer a narrative, it's a way to build the future.” Shahaf Bar-Geffen, CEO of COTI Foundation, dives into the launch of their privacy-centric Layer 2, the role of AI and cryptography in real-world use cases, and what success looks like for COTI. 0:37 – Launching a Privacy-Focused Layer 2 1:27 – Is Privacy an Obstacle? 2:26 – How Garbled Circuits Power Their Tech 3:00 – Real-World Test Case 4:47 – COTI’s Global Ambitions 8:48 – Defining Success for the Network Watch the full episode below! 🎥
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“AI is no longer a narrative, it's a way to build the future.” Shahaf Bar-Geffen, CEO of COTI Foundation, dives into the launch of their privacy-centric Layer 2, the role of AI and cryptography in real-world use cases, and what success looks like for COTI. 0:37 – Launching a Privacy-Focused Layer 2 1:27 – Is Privacy an Obstacle? 2:26 – How Garbled Circuits Power Their Tech 3:00 – Real-World Test Case 4:47 – COTI’s Global Ambitions 8:48 – Defining Success for the Network Watch the full episode below! 🎥

Genzio Media | Rolly Mode

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

Alex Ratner

495,851 görüntüleme • 1 yıl önce

NVIDIA CEO Jensen Huang just gave us a glimpse into the future of AI, and it's far bigger than text and images. He asked: "If you can understand worlds, is it possible that you understand proteins and chemicals that have structure?” This is the quiet revolution happening in AI right now. We're moving from an AI that understands human language to an AI that understands the language of nature itself. The "letters" are atoms. The "words" are molecules. The "sentences" are the complex structures of life, networks, and reality. The same foundational models that generate video are now being used to: *Decode proteins to fight disease *Design new materials at the atomic level *Simulate complex systems in quantum computing These were once the domain of supercomputers and Nobel laureates. Now, they're becoming solvable problems for a new generation of startups. AI is transitioning from a tool for communication to a tool for creation and discovery in the physical world. This is where the next wave of generational companies will be built. The "hard-to-solve" problems are now within reach.
2:14

NVIDIA CEO Jensen Huang just gave us a glimpse into the future of AI, and it's far bigger than text and images. He asked: "If you can understand worlds, is it possible that you understand proteins and chemicals that have structure?” This is the quiet revolution happening in AI right now. We're moving from an AI that understands human language to an AI that understands the language of nature itself. The "letters" are atoms. The "words" are molecules. The "sentences" are the complex structures of life, networks, and reality. The same foundational models that generate video are now being used to: *Decode proteins to fight disease *Design new materials at the atomic level *Simulate complex systems in quantum computing These were once the domain of supercomputers and Nobel laureates. Now, they're becoming solvable problems for a new generation of startups. AI is transitioning from a tool for communication to a tool for creation and discovery in the physical world. This is where the next wave of generational companies will be built. The "hard-to-solve" problems are now within reach.

Konstantine Buhler

13,014 görüntüleme • 10 ay önce

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

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

SPECTRE AI

130,662 görüntüleme • 1 yıl önce

🚨 SUBNET 35 BREAKTHROUGH: LogicNet AI Rivals HUMAN EXPERTS! 🧠💥@logicnet_ait Choose your weapon: Qwen2, Mistral, Baichuan2, or Falcon models now available! 🛠️ $TAO holders are part-owners of a GLOBAL AI BRAIN trust! As these models improve, so does the VALUE and UTILITY of the entire ecosystem 🔥 Bittensor's Subnet 35 isn't just improving AI - it's REVOLUTIONIZING it! Here's what these mind-blowing stats REALLY mean: 1. 📚 SAT Performance (53.1%): - This is like an AI scoring 1060 out of 1600 on the SAT! - Puts the AI at the 50th percentile of HUMAN test-takers - Could help MILLIONS of students with SAT prep! 2. 🔬 MMLU-STEM (63.9% by Minerva 540B): - MMLU tests grad-school level knowledge - This score rivals EXPERT HUMANS in STEM fields - Potential to assist in CUTTING-EDGE research and innovation 3. 🧮 Math Skills (33.6% on complex tasks): - Tackles problems at the level of Math Olympiad competitions - Could speed up COMPLEX CALCULATIONS in physics, engineering, and finance - Imagine AI co-pilots for researchers and engineers! 4. 💡 Logical Reasoning (36.4% on GSM8k): - GSM8k tests multi-step problem-solving - This level could help in LEGAL ANALYSIS, BUSINESS STRATEGY, and SCIENTIFIC RESEARCH - AI assistants that can break down complex problems for humans! 5. 🌐 Scale and Diversity (7B to 540B parameters): - From models that can run on your laptop to those rivaling TOP TECH GIANTS - Democratizes access to AI power for EVERYONE - Potential for personalized AI assistants tailored to YOUR needs 🚀 Real-World Impact: - Education: AI tutors available 24/7, personalizing learning for MILLIONS - Research: Accelerating discoveries in medicine, climate science, and beyond - Business: AI strategists helping startups compete with FORTUNE 500 companies - Technology: Pushing the boundaries of what's possible in AI, rivaling or SURPASSING centralized tech giants This isn't just progress - it's a LEAP in decentralized AI capabilities! Bittensor's Subnet 35 is creating AI that doesn't just assist humans, but COLLABORATES with us at expert levels! 🌟 Why This MATTERS for Bittensor & $TAO: - Decentralized AI now COMPETING with multi-billion dollar tech companies Don't just watch the future unfold - be part of SHAPING it with Bittensor & $TAO! 🚀🌍 Watch and Subcribe on YouTube for More: #Bittensor #TAO #AIRevolution #DecentralizedAI #FutureIsNow [DISCLAIMER: Not financial advice! DYOR. But remember, we're not just talking about numbers - we're talking about AI that could transform EVERY aspect of our lives! 🤯🚀]
1:22

🚨 SUBNET 35 BREAKTHROUGH: LogicNet AI Rivals HUMAN EXPERTS! 🧠💥@logicnet_ait Choose your weapon: Qwen2, Mistral, Baichuan2, or Falcon models now available! 🛠️ $TAO holders are part-owners of a GLOBAL AI BRAIN trust! As these models improve, so does the VALUE and UTILITY of the entire ecosystem 🔥 Bittensor's Subnet 35 isn't just improving AI - it's REVOLUTIONIZING it! Here's what these mind-blowing stats REALLY mean: 1. 📚 SAT Performance (53.1%): - This is like an AI scoring 1060 out of 1600 on the SAT! - Puts the AI at the 50th percentile of HUMAN test-takers - Could help MILLIONS of students with SAT prep! 2. 🔬 MMLU-STEM (63.9% by Minerva 540B): - MMLU tests grad-school level knowledge - This score rivals EXPERT HUMANS in STEM fields - Potential to assist in CUTTING-EDGE research and innovation 3. 🧮 Math Skills (33.6% on complex tasks): - Tackles problems at the level of Math Olympiad competitions - Could speed up COMPLEX CALCULATIONS in physics, engineering, and finance - Imagine AI co-pilots for researchers and engineers! 4. 💡 Logical Reasoning (36.4% on GSM8k): - GSM8k tests multi-step problem-solving - This level could help in LEGAL ANALYSIS, BUSINESS STRATEGY, and SCIENTIFIC RESEARCH - AI assistants that can break down complex problems for humans! 5. 🌐 Scale and Diversity (7B to 540B parameters): - From models that can run on your laptop to those rivaling TOP TECH GIANTS - Democratizes access to AI power for EVERYONE - Potential for personalized AI assistants tailored to YOUR needs 🚀 Real-World Impact: - Education: AI tutors available 24/7, personalizing learning for MILLIONS - Research: Accelerating discoveries in medicine, climate science, and beyond - Business: AI strategists helping startups compete with FORTUNE 500 companies - Technology: Pushing the boundaries of what's possible in AI, rivaling or SURPASSING centralized tech giants This isn't just progress - it's a LEAP in decentralized AI capabilities! Bittensor's Subnet 35 is creating AI that doesn't just assist humans, but COLLABORATES with us at expert levels! 🌟 Why This MATTERS for Bittensor & $TAO: - Decentralized AI now COMPETING with multi-billion dollar tech companies Don't just watch the future unfold - be part of SHAPING it with Bittensor & $TAO! 🚀🌍 Watch and Subcribe on YouTube for More: #Bittensor #TAO #AIRevolution #DecentralizedAI #FutureIsNow [DISCLAIMER: Not financial advice! DYOR. But remember, we're not just talking about numbers - we're talking about AI that could transform EVERY aspect of our lives! 🤯🚀]

Andy ττ

30,418 görüntüleme • 2 yıl önce

Jensen Huang just shared a massive insight on The All-In Podcast predicting a 1000000x scale up in AI. His logic is brilliant. Moving from simple chatbots to autonomous agents takes 10000x more compute. And because people gladly pay for actual work rather than just text generation the market consumption will grow 100x. But there is a hidden bottleneck in this vision that few are talking about. If agents are doing the actual work they will become the primary consumers of compute data and external APIs. How do they pay for these resources? You cannot attach a traditional credit card to a machine executing thousands of micro tasks per second. The legacy financial system will simply break under the weight of massive machine to machine microtransactions. To truly unlock Jensen's million fold expansion AI needs its own native economic layer. Agents must be able to route intents and settle costs autonomously in real time. This is the exact infrastructure we are building at Kite AI. The future of work is agentic and the Agent Economy requires entirely new financial rails. 🪁
1:04

Jensen Huang just shared a massive insight on The All-In Podcast predicting a 1000000x scale up in AI. His logic is brilliant. Moving from simple chatbots to autonomous agents takes 10000x more compute. And because people gladly pay for actual work rather than just text generation the market consumption will grow 100x. But there is a hidden bottleneck in this vision that few are talking about. If agents are doing the actual work they will become the primary consumers of compute data and external APIs. How do they pay for these resources? You cannot attach a traditional credit card to a machine executing thousands of micro tasks per second. The legacy financial system will simply break under the weight of massive machine to machine microtransactions. To truly unlock Jensen's million fold expansion AI needs its own native economic layer. Agents must be able to route intents and settle costs autonomously in real time. This is the exact infrastructure we are building at Kite AI. The future of work is agentic and the Agent Economy requires entirely new financial rails. 🪁

KITE AI

20,474 görüntüleme • 5 ay önce