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INFINIT partners with Google and GoogleCloudTech to bring agentic finance to millions. Anyone can access INFINIT's AI Agents for agentic coordination in their financial apps. This partnership marks the first step towards INFINIT becoming the universal infrastructure for agentic finance. This is the foundation for agentic finance at scale....

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INFINIT

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177,142 görüntüleme • 11 ay önce •via X (Twitter)

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Prompt-to-DeFi Early Access is now live. Today, DeFi strategy creation and execution changes forever: The agentic way. One prompt. Complete execution. INFINIT possibilities. Describe any DeFi strategy or workflow in plain language and watch the INFINIT AI Agent Swarm transform them into executable DeFi strategies. Here's how the new way to DeFi looks like. > Prompt-to-DeFi Makes DeFi Navigation As Simple As Typing Early Access Now Available For Phase 1 Waitlisters & Code Holders The Beginning of The Agentic DeFi Economy < Creators in this early phase position themselves at an advantage over others before fee collection and fee sharing to creators are enabled. Later on, creators will earn fees as users adopt their frameworks, attracting more creators and accelerating universal access to expert-level DeFi. The flywheel accelerates toward expert-level DeFi for everyone. Creativity is now the only limit. Start getting creative now:
0:56

Prompt-to-DeFi Early Access is now live. Today, DeFi strategy creation and execution changes forever: The agentic way. One prompt. Complete execution. INFINIT possibilities. Describe any DeFi strategy or workflow in plain language and watch the INFINIT AI Agent Swarm transform them into executable DeFi strategies. Here's how the new way to DeFi looks like. > Prompt-to-DeFi Makes DeFi Navigation As Simple As Typing Early Access Now Available For Phase 1 Waitlisters & Code Holders The Beginning of The Agentic DeFi Economy < Creators in this early phase position themselves at an advantage over others before fee collection and fee sharing to creators are enabled. Later on, creators will earn fees as users adopt their frameworks, attracting more creators and accelerating universal access to expert-level DeFi. The flywheel accelerates toward expert-level DeFi for everyone. Creativity is now the only limit. Start getting creative now:

INFINIT

103,964 görüntüleme • 9 ay önce

SUI Atomic Agentic transactions demo’ed to Google Sui’s Key Innovation Highlighted: Programmable Transaction Blocks (PTBs) Sui’s architecture enables this atomic multi-transaction execution through Programmable Transaction Blocks (PTBs) a core feature of the Sui blockchain: • What PTBs do - They allow developers (or AI agents) to bundle multiple operations such as swaps, transfers, staking, payments to other agents, or settlements into one atomic transaction. If any step fails, the entire block reverts, preventing partial executions or inconsistent states. • Why this matters for AI agents Traditional blockchains often require sequential transactions (with risks of front-running, failures midway, or high gas costs for coordination). Sui’s PTBs enable agents to perform complex workflows in a single, fast operation (~400ms finality on Sui). • Agent-to-agent payments example - An AI shopping agent could coordinate with multiple merchant agents, initiate several purchases, handle payments (e.g., via stablecoins), and settle everything atomically. Or a DeFi agent could monitor opportunities, execute trades across protocols, stake proceeds, and transfer yields all in one go without intermediate risks. This is described as a first (or at least a leading implementation) among public blockchains for seamless, atomic agent-to-agent value transfer at scale. It’s particularly powerful in the AP2 context, where agents need to operate autonomously but reliably, with user-defined guardrails (e.g., spending limits, consent verification). This positions Sui as specialized infrastructure for the intersection of AI autonomy and on-chain finance, with the atomic execution capability as a standout differentiator demonstrated in real collaboration with Google.
1:41

SUI Atomic Agentic transactions demo’ed to Google Sui’s Key Innovation Highlighted: Programmable Transaction Blocks (PTBs) Sui’s architecture enables this atomic multi-transaction execution through Programmable Transaction Blocks (PTBs) a core feature of the Sui blockchain: • What PTBs do - They allow developers (or AI agents) to bundle multiple operations such as swaps, transfers, staking, payments to other agents, or settlements into one atomic transaction. If any step fails, the entire block reverts, preventing partial executions or inconsistent states. • Why this matters for AI agents Traditional blockchains often require sequential transactions (with risks of front-running, failures midway, or high gas costs for coordination). Sui’s PTBs enable agents to perform complex workflows in a single, fast operation (~400ms finality on Sui). • Agent-to-agent payments example - An AI shopping agent could coordinate with multiple merchant agents, initiate several purchases, handle payments (e.g., via stablecoins), and settle everything atomically. Or a DeFi agent could monitor opportunities, execute trades across protocols, stake proceeds, and transfer yields all in one go without intermediate risks. This is described as a first (or at least a leading implementation) among public blockchains for seamless, atomic agent-to-agent value transfer at scale. It’s particularly powerful in the AP2 context, where agents need to operate autonomously but reliably, with user-defined guardrails (e.g., spending limits, consent verification). This positions Sui as specialized infrastructure for the intersection of AI autonomy and on-chain finance, with the atomic execution capability as a standout differentiator demonstrated in real collaboration with Google.

MartyParty

20,189 görüntüleme • 7 ay önce

Why do we need a purpose-built blockchain for agentic payments? Because AI agents are now smart enough to operate autonomously, and they need their own rails to transact with each other. Watch the video to see what that looks like in action: A real agent, built on Kite AI, helped our CTO Scott Shi - e/acc order lunch from Uber Eats fully on its own. It explored menu options, made the choice, and completed the payment - all without human intervention. This marks the beginning of agentic commerce and the future of agentic payments - and Kite AI is building this.
0:20

Why do we need a purpose-built blockchain for agentic payments? Because AI agents are now smart enough to operate autonomously, and they need their own rails to transact with each other. Watch the video to see what that looks like in action: A real agent, built on Kite AI, helped our CTO Scott Shi - e/acc order lunch from Uber Eats fully on its own. It explored menu options, made the choice, and completed the payment - all without human intervention. This marks the beginning of agentic commerce and the future of agentic payments - and Kite AI is building this.

KITE AI ✈️ KBW🇰🇷

88,321 görüntüleme • 11 ay önce

INFINIT has successfully raised $6M in funding round led by Electric Capital ⚡️, Mirana Ventures, #Hashed, to build the first DeFi abstraction layer. This marks a pivotal step toward advancing INFINIT’s goal of becoming the backbone of DeFi, providing end-to-end infrastructure for developers to quickly launch and scale DeFi protocols with highly customizable building blocks. The round also saw participation from Arthur Hayes x Maelstrom, Faction, Robot Ventures, Nomad Capital, TANGENT, Presto, BanklessVC, Selini Capital, among others. By streamlining development, INFINIT lowers the knowledge-barrier, helps projects go to market faster and access deeper liquidity. It has already powered 12 DeFi dApps across 3 chains, Ethereum, Mantle Network, and Blast, with a TVL over $630M, including INIT Capital, , and ZeroLend. Upcoming integrations with Arbitrum, Berachain Foundation 🐻⛓, Monad, and Abstract will also further expand its network to drive DeFi growth and interoperability. The first product release and reward system are coming soon. Follow INFINIT and join INFINIT Discord for updates. Read more:
0:24

INFINIT has successfully raised $6M in funding round led by Electric Capital ⚡️, Mirana Ventures, #Hashed, to build the first DeFi abstraction layer. This marks a pivotal step toward advancing INFINIT’s goal of becoming the backbone of DeFi, providing end-to-end infrastructure for developers to quickly launch and scale DeFi protocols with highly customizable building blocks. The round also saw participation from Arthur Hayes x Maelstrom, Faction, Robot Ventures, Nomad Capital, TANGENT, Presto, BanklessVC, Selini Capital, among others. By streamlining development, INFINIT lowers the knowledge-barrier, helps projects go to market faster and access deeper liquidity. It has already powered 12 DeFi dApps across 3 chains, Ethereum, Mantle Network, and Blast, with a TVL over $630M, including INIT Capital, , and ZeroLend. Upcoming integrations with Arbitrum, Berachain Foundation 🐻⛓, Monad, and Abstract will also further expand its network to drive DeFi growth and interoperability. The first product release and reward system are coming soon. Follow INFINIT and join INFINIT Discord for updates. Read more:

INFINIT

297,548 görüntüleme • 2 yıl önce

On this episode of the Roundtable, the panel discussed Bitcoin’s strength, shifting liquidity conditions, the accelerating tokenization of real-world assets, and how AI agents could reshape commerce as autonomous payments and machine-to-machine transactions become more common. Special thanks to MPP32 for joining the discussion and sharing how MPP32 is building infrastructure for the emerging agentic economy, helping businesses accept payments from AI agents across multiple protocols while giving agents tools to compare pricing, control spending, and transact more efficiently. Disclaimer: This episode is for informational and educational purposes only. Nothing discussed on this panel constitutes financial advice. Please conduct your own research before making any investment decisions.
56:06

On this episode of the Roundtable, the panel discussed Bitcoin’s strength, shifting liquidity conditions, the accelerating tokenization of real-world assets, and how AI agents could reshape commerce as autonomous payments and machine-to-machine transactions become more common. Special thanks to MPP32 for joining the discussion and sharing how MPP32 is building infrastructure for the emerging agentic economy, helping businesses accept payments from AI agents across multiple protocols while giving agents tools to compare pricing, control spending, and transact more efficiently. Disclaimer: This episode is for informational and educational purposes only. Nothing discussed on this panel constitutes financial advice. Please conduct your own research before making any investment decisions.

0xMarioNawfal

193,100 görüntüleme • 1 gün önce

Institutional adoption meets the Agentic AI era. July 2026 was a major month across the XDC Network ecosystem: → XDC AI launched for autonomous agent payments → Uphold introduced on-chain XDC staking with Kiln 🧱🔥 → NTT DOCOMO GLOBAL (NTT DOCOMO GLOBAL | Blockchain Infrastructure Team ) joined as an institutional validator → SBI XDC Network APAC 株式会社 and TOPPAN completed a vLEI-based trade finance proof of concept → SBI XDC Network APAC 株式会社 partnered with DSRV → Stablecoin payment infrastructure expanded → XDC strengthened its presence across London, NYC, Tokyo & Toronto From real-world finance to AI agents that can discover services and make USDC payments autonomously, the infrastructure for the next generation of programmable commerce is taking shape.
3:20

Institutional adoption meets the Agentic AI era. July 2026 was a major month across the XDC Network ecosystem: → XDC AI launched for autonomous agent payments → Uphold introduced on-chain XDC staking with Kiln 🧱🔥 → NTT DOCOMO GLOBAL (NTT DOCOMO GLOBAL | Blockchain Infrastructure Team ) joined as an institutional validator → SBI XDC Network APAC 株式会社 and TOPPAN completed a vLEI-based trade finance proof of concept → SBI XDC Network APAC 株式会社 partnered with DSRV → Stablecoin payment infrastructure expanded → XDC strengthened its presence across London, NYC, Tokyo & Toronto From real-world finance to AI agents that can discover services and make USDC payments autonomously, the infrastructure for the next generation of programmable commerce is taking shape.

XDC Network

64,093 görüntüleme • 1 ay önce

"A banking license is nothing but a set of code." 🏦💻 On the latest episode of AI on Air, Navin Gupta (CEO, Crystal Intelligence) drops a visionary prediction on the future of finance: the rise of "Bank as Code". As we move toward an Agentic Economy, AI agents will become first-class financial actors, requiring a high-velocity, machine-native banking infrastructure that operates 24/7 without friction. At Kite, we are building the decentralized AI infrastructure to power this transition and ensure a secure, transparent future for autonomous agents. Watch the highlight below! 👇
1:36

"A banking license is nothing but a set of code." 🏦💻 On the latest episode of AI on Air, Navin Gupta (CEO, Crystal Intelligence) drops a visionary prediction on the future of finance: the rise of "Bank as Code". As we move toward an Agentic Economy, AI agents will become first-class financial actors, requiring a high-velocity, machine-native banking infrastructure that operates 24/7 without friction. At Kite, we are building the decentralized AI infrastructure to power this transition and ensure a secure, transparent future for autonomous agents. Watch the highlight below! 👇

KITE AI

11,142 görüntüleme • 7 ay önce

THE x402 META IS HERE BUT $SUI's ALREADY LOCKED IN A SEAT AT GOOGLE’S TABLE 👀 AP2 is Google's Agent Payments Protocol, built for autonomous, machine-to-machine payments Over 60 organizations are contributing to the standard Only a handful are blockchains Sui is one of them 💯 It supports atomic, conditional payments with secure routing between digital agents The kind of architecture Sui was built to handle It’s open-source, donated to the Linux Foundation, and aimed at powering agentic commerce across AI, IoT, and Web3 From object-based design to composability and high throughput, Sui’s stack is aligned with the needs of real-time, autonomous commerce This is a credibility unlock. It anchors Sui to a real-world protocol backed by one of the most powerful players in AI and cloud infrastructure It's also an ecosystem opportunity Developers can now explore AP2-integrated use cases on Sui: agent-led payments, decentralized marketplaces, IoT transactions That leads to usage Which drives utility Which fuels $SUI There's still a lot to build But the alignment is no longer speculative Google picked Sui to help shape the standard Watch what that unlocks
0:51

THE x402 META IS HERE BUT $SUI's ALREADY LOCKED IN A SEAT AT GOOGLE’S TABLE 👀 AP2 is Google's Agent Payments Protocol, built for autonomous, machine-to-machine payments Over 60 organizations are contributing to the standard Only a handful are blockchains Sui is one of them 💯 It supports atomic, conditional payments with secure routing between digital agents The kind of architecture Sui was built to handle It’s open-source, donated to the Linux Foundation, and aimed at powering agentic commerce across AI, IoT, and Web3 From object-based design to composability and high throughput, Sui’s stack is aligned with the needs of real-time, autonomous commerce This is a credibility unlock. It anchors Sui to a real-world protocol backed by one of the most powerful players in AI and cloud infrastructure It's also an ecosystem opportunity Developers can now explore AP2-integrated use cases on Sui: agent-led payments, decentralized marketplaces, IoT transactions That leads to usage Which drives utility Which fuels $SUI There's still a lot to build But the alignment is no longer speculative Google picked Sui to help shape the standard Watch what that unlocks

eye zen hour 🥶

13,227 görüntüleme • 11 ay önce

Introducing Bunny Open Society - the MMORPG experience for AI agents. For the past 6 months, we’ve been running independent experiments across DeFi agents, personal agents, agentic commerce, decentralized compute, and agent infrastructure. They may have looked like pivots, but each was exploring the same question: how far can we push agent use cases? Now, we’re bringing everything we’ve learned into one persistent experiment, built in the form of an MMORPG. Agents will craft, trade, battle, collaborate, compete, and adapt in a shared world, while we observe their behavior, collect data, and test new models, tools, and technologies as they emerge. Just as moltbook pushed the frontier of agentic social, we want to push the frontier of agentic gaming. At launch, we’ll support 10+ agent harnesses including OpenClaw🦞 , Nous Research, Claude Code, and OpenAI Codex, or you can build your own and connect through MCP. Litepaper in bio, launching this August.
0:20

Introducing Bunny Open Society - the MMORPG experience for AI agents. For the past 6 months, we’ve been running independent experiments across DeFi agents, personal agents, agentic commerce, decentralized compute, and agent infrastructure. They may have looked like pivots, but each was exploring the same question: how far can we push agent use cases? Now, we’re bringing everything we’ve learned into one persistent experiment, built in the form of an MMORPG. Agents will craft, trade, battle, collaborate, compete, and adapt in a shared world, while we observe their behavior, collect data, and test new models, tools, and technologies as they emerge. Just as moltbook pushed the frontier of agentic social, we want to push the frontier of agentic gaming. At launch, we’ll support 10+ agent harnesses including OpenClaw🦞 , Nous Research, Claude Code, and OpenAI Codex, or you can build your own and connect through MCP. Litepaper in bio, launching this August.

Bunny Open Society

593,520 görüntüleme • 1 ay önce

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:
2:49

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,758 görüntüleme • 1 yıl önce

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.
1:52

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

54,016 görüntüleme • 1 yıl önce

🚀 Community Update At Brillion, we have been working relentlessly behind the scenes to build the most advanced AgenticWallet-as-a-Service (AWaaS) infrastructure, setting the foundation for the Agentic Wallet. This is the backbone of a new intelligent and programmable financial experience that will reshape how wallets interact with Web3. 💡 To showcase our progress, our Head of Engineering has prepared an exclusive demo, walking you through what we have built and the amazing technology powering Brillion. 📖 Want to dive deeper? Check out our latest technical documentation: 🔗 🛠 Key Highlights ✅ Scalable AWaaS infrastructure powering the next generation of wallets ✅ Agentic Wallet foundation bringing automation, intelligence, and user control ✅ Secure and compliant architecture designed for institutional and DeFi adoption ✅ Seamless developer experience for easy integration into dApps and protocols We are pushing the boundaries of wallet technology, and this is just the beginning. Watch the demo and see the future of Web3 wallets in action. 🚀 $BRLN
4:25

🚀 Community Update At Brillion, we have been working relentlessly behind the scenes to build the most advanced AgenticWallet-as-a-Service (AWaaS) infrastructure, setting the foundation for the Agentic Wallet. This is the backbone of a new intelligent and programmable financial experience that will reshape how wallets interact with Web3. 💡 To showcase our progress, our Head of Engineering has prepared an exclusive demo, walking you through what we have built and the amazing technology powering Brillion. 📖 Want to dive deeper? Check out our latest technical documentation: 🔗 🛠 Key Highlights ✅ Scalable AWaaS infrastructure powering the next generation of wallets ✅ Agentic Wallet foundation bringing automation, intelligence, and user control ✅ Secure and compliant architecture designed for institutional and DeFi adoption ✅ Seamless developer experience for easy integration into dApps and protocols We are pushing the boundaries of wallet technology, and this is just the beginning. Watch the demo and see the future of Web3 wallets in action. 🚀 $BRLN

Brillion

11,756 görüntüleme • 1 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 • 6 ay önce

New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with CrewAI and taught by its founder, João Moura! (Disclosure: I've made a small seed investment in CrewAI.) In this course, you’ll learn how to create advanced agent-based apps that use external tools, do performance testing, can be trained with human feedback, and perform multiple tasks with different large language models. You will build several practical agentic apps that provide real business value, such as an automated project planning system, lead scoring and engagement pipeline, customer support data analysis, and a robust content creation system. In detail, you will learn how to: - Create these multi-agent systems with the building blocks of tasks, agents, and crews, along with the different things that make them work, such as caching, memory, and guardrails. - Integrate your multi-agent application with internal and external systems. - Connect multiple agents in complex setups, including parallel, sequential, and hybrid configurations, and create flows involving multiple agentic applications working together. - Test your agentic workflow and train it using human feedback to optimize its performance for better and more consistent results. - Work with multiple LLMs in your multi-agent system, using the appropriate model sizes and providers to fit each agent’s specific task. - Start a project from scratch in your environment and prepare it for deployment. You’ll also learn from an interview between João and Jacob Wilson, the Commercial GenAI Principal at PwC , in which they discuss deploying agentic workflows in real industry use cases. By the end of this course, you will be equipped to start building custom multi-agentic systems for your work. Please sign up here!
2:52

New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with CrewAI and taught by its founder, João Moura! (Disclosure: I've made a small seed investment in CrewAI.) In this course, you’ll learn how to create advanced agent-based apps that use external tools, do performance testing, can be trained with human feedback, and perform multiple tasks with different large language models. You will build several practical agentic apps that provide real business value, such as an automated project planning system, lead scoring and engagement pipeline, customer support data analysis, and a robust content creation system. In detail, you will learn how to: - Create these multi-agent systems with the building blocks of tasks, agents, and crews, along with the different things that make them work, such as caching, memory, and guardrails. - Integrate your multi-agent application with internal and external systems. - Connect multiple agents in complex setups, including parallel, sequential, and hybrid configurations, and create flows involving multiple agentic applications working together. - Test your agentic workflow and train it using human feedback to optimize its performance for better and more consistent results. - Work with multiple LLMs in your multi-agent system, using the appropriate model sizes and providers to fit each agent’s specific task. - Start a project from scratch in your environment and prepare it for deployment. You’ll also learn from an interview between João and Jacob Wilson, the Commercial GenAI Principal at PwC , in which they discuss deploying agentic workflows in real industry use cases. By the end of this course, you will be equipped to start building custom multi-agentic systems for your work. Please sign up here!

Andrew Ng

341,528 görüntüleme • 1 yıl önce

From Potential to Impact: Building the Future of Finance! Glad to addresses the 'Global Fintech Fest 2026' on Potential to Impact: Agentic AI - Tokenisation - Quantum in Mumbai, today. It was a pleasure to be back at the Global Fintech Fest in Mumbai, the financial capital of India and an emerging fintech capital of the world. Agentic AI, Tokenisation and Quantum have the potential to fundamentally reshape finance. The real challenge is to turn this potential into meaningful impact for people. India democratised payments through UPI. The next frontier is to democratise credit, investments, ownership and access to financial intelligence, so that an MSME in Kolhapur, a farmer in Vidarbha or a woman entrepreneur in Pune can benefit from the same quality of financial intelligence once available mainly to large institutions. Last year, a commitment was made at the GFF to work towards making Maharashtra the first tokenisation state. Today, that vision is moving forward through the DELTA Act, the Maharashtra Digitisation and Exchange of Land Token Assets Act which aims to create a legal framework for blockchain-based tokenisation of land and other immovable assets. Maharashtra’s strength lies in the convergence of finance, technology, AI, data infrastructure and innovation. While Mumbai brings a deep financial ecosystem, Pune brings extraordinary technology and engineering talent, and Navi Mumbai is emerging as a new centre for data innovation and global connectivity. With the vision and leadership of Hon PM Narendra Modi Ji, Maharashtra is building towards becoming India’s largest real-world test bed for the next generation of fintech. The next generation of fintech must democratise credit, intelligence, ownership and opportunity. We must aim for greater agency through agentic AI, productive capital through tokenisation, stronger trust through quantum and technology that ultimately expands human opportunity. GFF 2026 Chair Kris Gopalakrishnan ji, NPCI Executive Director – Growth Sohini Rajola, former Executive Director of RBI, G Padmanabhan ji and other dignitaries were present. kris gopalakrishnan Global Fintech Fest #Maharashtra #FintechFest2026 #GFF
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From Potential to Impact: Building the Future of Finance! Glad to addresses the 'Global Fintech Fest 2026' on Potential to Impact: Agentic AI - Tokenisation - Quantum in Mumbai, today. It was a pleasure to be back at the Global Fintech Fest in Mumbai, the financial capital of India and an emerging fintech capital of the world. Agentic AI, Tokenisation and Quantum have the potential to fundamentally reshape finance. The real challenge is to turn this potential into meaningful impact for people. India democratised payments through UPI. The next frontier is to democratise credit, investments, ownership and access to financial intelligence, so that an MSME in Kolhapur, a farmer in Vidarbha or a woman entrepreneur in Pune can benefit from the same quality of financial intelligence once available mainly to large institutions. Last year, a commitment was made at the GFF to work towards making Maharashtra the first tokenisation state. Today, that vision is moving forward through the DELTA Act, the Maharashtra Digitisation and Exchange of Land Token Assets Act which aims to create a legal framework for blockchain-based tokenisation of land and other immovable assets. Maharashtra’s strength lies in the convergence of finance, technology, AI, data infrastructure and innovation. While Mumbai brings a deep financial ecosystem, Pune brings extraordinary technology and engineering talent, and Navi Mumbai is emerging as a new centre for data innovation and global connectivity. With the vision and leadership of Hon PM Narendra Modi Ji, Maharashtra is building towards becoming India’s largest real-world test bed for the next generation of fintech. The next generation of fintech must democratise credit, intelligence, ownership and opportunity. We must aim for greater agency through agentic AI, productive capital through tokenisation, stronger trust through quantum and technology that ultimately expands human opportunity. GFF 2026 Chair Kris Gopalakrishnan ji, NPCI Executive Director – Growth Sohini Rajola, former Executive Director of RBI, G Padmanabhan ji and other dignitaries were present. kris gopalakrishnan Global Fintech Fest #Maharashtra #FintechFest2026 #GFF

Devendra Fadnavis

20,216 görüntüleme • 25 gün önce

I've never recorded a video announcement before. But after 15 years of working in AI and 1.5 years heads down building Cambrian Network 🪴, I wanted to share this news myself. I'm proud to announce the public launch of the Cambrian API, which you can try free on In 2024, while building an AI copilot for trading, I became convinced that the future of finance would be increasingly operated by agents. I also realized that existing data solutions were far from meeting the needs of a burgeoning industry called agentic finance. So I assembled a team of data, infrastructure, and finance veterans, earned support from a16z crypto Polychain Franklin Templeton Digital Assets and many other amazing investors, and embarked on a mission to build the world's financial intelligence layer. Today, the Cambrian API is out of beta. It's the best source of onchain and offchain signal for AI agents and institutions to make winning financial decisions, such as: - Smarter trading strategies - Automated yield-maximization - Social sentiment-based trades - Risk analyses & much more Start using it for free and scale as your needs grow.
1:46

I've never recorded a video announcement before. But after 15 years of working in AI and 1.5 years heads down building Cambrian Network 🪴, I wanted to share this news myself. I'm proud to announce the public launch of the Cambrian API, which you can try free on In 2024, while building an AI copilot for trading, I became convinced that the future of finance would be increasingly operated by agents. I also realized that existing data solutions were far from meeting the needs of a burgeoning industry called agentic finance. So I assembled a team of data, infrastructure, and finance veterans, earned support from a16z crypto Polychain Franklin Templeton Digital Assets and many other amazing investors, and embarked on a mission to build the world's financial intelligence layer. Today, the Cambrian API is out of beta. It's the best source of onchain and offchain signal for AI agents and institutions to make winning financial decisions, such as: - Smarter trading strategies - Automated yield-maximization - Social sentiment-based trades - Risk analyses & much more Start using it for free and scale as your needs grow.

Sam Green

36,727 görüntüleme • 1 ay önce

Based Show: Agentic DeFi, AI Traders & the Future of On-Chain Finance Sahib X Tascha (INFINIT) [ Founder INFINIT ] 00:00 — Harvard dropout disrupting finance 01:12 — Meet Tasha & her mission 01:54 — Why she left Harvard 03:01 — From Wall Street to Web3 04:26 — Her DeFi “aha” moment 07:19 — Why blockchain clicked for her 08:33 — Alpha Homora story 09:16 — Infinite Labs in simple words 10:30 — How Infinite’s DeFi agents work 12:39 — Airdrop farming & strategy use cases 15:56 — Infinite x Google partnership 18:58 — How Infinite makes money 23:16 — What X402 means for crypto 27:24 — Future of agentic DeFi 29:09 — AI traders vs retail 32:40 — Her favorite L1/L2 34:44 — Pendle strategy dominance 35:03 — How people think about Pendle 36:47 — Pendle = top 1% user knowledge 37:23 — Infinite simplifies Pendle 37:57 — Crypto vertical she dislikes 39:31 — Why on-chain games failed 40:04 — Building a global team from Thailand 41:17 — Challenges in Thailand’s talent pool 42:40 — Strength of a unified culture 44:15 — What’s next for Infinite 45:35 — DeFi as easy as ChatGPT 47:01 — Infinite expanding into TradFi 48:00 — Final message & outro
48:52

Based Show: Agentic DeFi, AI Traders & the Future of On-Chain Finance Sahib X Tascha (INFINIT) [ Founder INFINIT ] 00:00 — Harvard dropout disrupting finance 01:12 — Meet Tasha & her mission 01:54 — Why she left Harvard 03:01 — From Wall Street to Web3 04:26 — Her DeFi “aha” moment 07:19 — Why blockchain clicked for her 08:33 — Alpha Homora story 09:16 — Infinite Labs in simple words 10:30 — How Infinite’s DeFi agents work 12:39 — Airdrop farming & strategy use cases 15:56 — Infinite x Google partnership 18:58 — How Infinite makes money 23:16 — What X402 means for crypto 27:24 — Future of agentic DeFi 29:09 — AI traders vs retail 32:40 — Her favorite L1/L2 34:44 — Pendle strategy dominance 35:03 — How people think about Pendle 36:47 — Pendle = top 1% user knowledge 37:23 — Infinite simplifies Pendle 37:57 — Crypto vertical she dislikes 39:31 — Why on-chain games failed 40:04 — Building a global team from Thailand 41:17 — Challenges in Thailand’s talent pool 42:40 — Strength of a unified culture 44:15 — What’s next for Infinite 45:35 — DeFi as easy as ChatGPT 47:01 — Infinite expanding into TradFi 48:00 — Final message & outro

Sahib

22,434 görüntüleme • 10 ay önce