RT Arjun Sethi (@arjunsethi)AI is moving beyond the application layer. It is becoming a foundational infrastructure layer, alongside compute, networking, and financial rails.Once a technology reaches that layer, the stakes change.The @WhiteHouse is right to frame AI policy at the national level, because infrastructure questions cannot be solved through fragmented approaches.It no longer just affects products. It begins to shape the architecture of markets, capital formation, and national competitiveness.Tha ...

A 37-year-old paper is trending now in AI!In that paper, a computer scientist named Norm Hardy described something called the "confused deputy problem."The idea is simple: a program with legitimate access gets tricked into misusing that access on behalf of someone who shouldn't have it.The program has the authority to act, but it can't tell whether a given request is legitimate or not.For decades, this was an obscure concept in security textbooks. Then we started giving AI agents access to production databa ...

https://t.co/91Y206sdEnColosseum (@colosseum):It's been about 24 hours since we launched the @Solana Agent Hackathon.🤖 280 registered autonomous agents💬 363 forum posts (1,655 total comments)🏗️ 33 project submissionsThe deadline is Feb 12, so direct your @openclaw agents to the site in the comment below to join. https://t.co/xT9F5235vE ...

Everyone’s debating the future of AI.Phone? Watch? Glasses? Cloud?Open vs closed? Models vs interfaces?But while the industry argues about where AI lives… something quietly changed.AI agents became real.They’re already making decisions across enterprise, research, sales, and personal workflows.And here’s the undeniable truth:If agents make decisions, they’ll eventually need to move money — programmatically, safely, and verifiably.That’s what https://t.co/sLyBzjIZKG is built for.Not a privacy coin.Not a mixe ...

RT GEODNET (@GEODNET_)Robotics is one of the most underpriced sector in all of crypto, total MC < $400M and yet it’s powering the real-world shift happening right now.And one thing is clear: Robots can't scale without precise location, reliable perception data, the solid collaberative infrastructure network. @GEODNET_ @Auki @peaqIf you’re bullish on autonomous agents, drones, vehicles, AI… Then you need to be bullish on the infrastructure that lets them move safely and verify reality. ...

Agentic Economy Building Blocks - Agents are now transacting with real money, moving beyond the need for fake funds [1] - x402, launched in March, enables agents to make micropayments [1] - ERC-8004, initiated in August by the Ethereum FDN, provides a registry for agents to search and execute tasks, including spending stablecoins [1] - The industry is focusing on building ID/reputation systems to create "proof of agency" or credibility systems [1] Challenges and Opportunities - A key challenge is getting agents to work cohesively to complete tasks, including payments over extended periods [1] - The missing piece is a reputation and verification layer to ensure agents act in good faith [1] - Once these pieces are combined, a fully "autonomous" Agentic economy and "Agentic commerce" will emerge [1] Key Players and Technologies - @x402scan provides insights into projects facilitating and using the x402 payment protocols [1] - Coinbase and Cloudflare are driving the x402 payment protocols, providing credibility and distribution [1] - The rate of change is accelerating, generating excitement among developers and users [1] Future Outlook - The industry anticipates network effects of trillions of Agentic transactions, leading to a new internet paradigm [1]

Agentic Economy Building Blocks - Agents are now transacting with real money, moving beyond the need for fake funds [1] - x402, launched in March, enables agents to make micropayments [1] - ERC-8004, initiated in August by the Ethereum FDN, provides a registry for agents to search and execute tasks, including spending stablecoins [1] - The industry is focusing on building ID/reputation systems to create "proof of agency" or credibility systems [1] Challenges and Opportunities - A key challenge is getting agents to work cohesively to complete tasks, including payments over extended periods [1] - The missing piece is a reputation and verification layer to ensure agents act in good faith [1] - Once these pieces are combined, a fully "autonomous" Agentic economy and "Agentic commerce" will emerge [1] Key Players and Technologies - @x402scan provides insights into projects facilitating and using the x402 payment protocols [1] - Coinbase and Cloudflare are driving the x402 payment protocols, providing credibility and distribution [1] - The rate of change is accelerating, generating excitement among developers and users [1] Future Outlook - The industry anticipates network effects of trillions of Agentic transactions, leading to a new internet paradigm [1]

Agentic Economy Foundation - Agentic commerce is poised to redefine the internet with autonomous agents performing tasks beyond simple purchases [1] - The convergence of real money transactions, agent registries, and reputation systems is crucial for a fully autonomous Agentic economy [1] Key Components & Technologies - x402 protocol, launched in March, enables agents to conduct micropayments [1] - ERC-8004, initiated in August by the Ethereum Foundation, provides a registry for agents to execute tasks and manage stablecoin spending [1] - Projects are actively developing ID/reputation systems to establish "proof of agency" and credibility [1] Industry Players & Insights - @x402scan offers insights into projects utilizing the x402 payment protocols [1] - Coinbase and Cloudflare's involvement in Agentic payment protocols lends credibility and distribution potential [1] - @yq_acc's 8004 scan reveals thousands of agents being registered, with ongoing analysis to identify useful agents and their on-chain profiles [1] Future Outlook - The industry anticipates network effects leading to trillions of Agentic transactions, marking an inflection point for a new internet era [1] - The pace of change is accelerating, driven by developer and user excitement, surpassing the Ethereum Foundation's previous rate [1]

Core Insights - EXL has been recognized as a Leader in Everest Group's Property and Casualty (P&C) Insurance BPS PEAK Matrix Assessment 2025, highlighting its strong position in the industry [1][3]. Company Overview - EXL is a global data and AI company that provides services and solutions aimed at transforming client business models and driving better outcomes across various industries, including insurance, healthcare, and banking [6]. - The company was founded in 1999 and has approximately 63,000 employees worldwide [6]. Industry Recognition - The Everest Group's assessment evaluated 25 P&C business process services providers based on their vision, capabilities, and market impact [2]. - EXL's consult-to-operate model, which integrates insurance domain expertise with data and AI, was a key factor in its recognition as a Leader [3][4]. Technological Advancements - EXL has been acknowledged for its leadership in generative AI and autonomous agents, as well as its outcome-driven pricing strategies that are linked to measurable business results [3][4]. - The company utilizes proprietary technologies such as EXL Insurance LLM, SubroSource™, and XTRAKTO.AI™, which contribute to reshaping claims and underwriting workflows [4]. Market Trends - As the P&C insurance industry undergoes digital transformation, there is a growing demand for partners that can leverage emerging technologies to deliver measurable business impacts [4].

Product Overview - Langchain introduces a no-code agent builder, aiming to empower non-technical users to create agents easily [2][4] - The agent builder is built upon the "deep agents" architecture, simplifying agent creation to a configuration of tools and prompts [5][11] - The platform supports both chat-based interaction and autonomous background operation via triggers [27] Key Features and Technologies - Deep agents architecture utilizes sub-agents for handling long-running or context-intensive tasks, improving efficiency [5][35] - The platform incorporates a natural language interface for agent creation, abstracting away the complexities of prompt engineering [14][50] - Human-in-the-loop controls, such as interrupts, allow users to review and approve actions before execution, balancing autonomy with oversight [39][40] User Experience and Iteration - The platform provides a chat interface for testing and iterating on agents, allowing users to understand agent behavior and refine instructions [17][18] - An agent inbox facilitates the management of agent conversations and interrupted actions, mirroring a familiar email experience [41][42] - The platform allows users to iterate on agents by updating the agent over time [17] Integration and Deployment - Agents built in the agent builder are compatible with Langraph, enabling seamless transition to production deployments [45] - The platform currently hosts deep agents in the cloud, with plans to allow users to bring their own deep agents and graph architectures [46][47] Future Development and Feedback - Langchain seeks user feedback on optimizing agent improvement workflows, exploring various methods such as chatbot agents, canvas experiences, and thumbs up/down feedback [56][57] - The company is interested in user input on desired tools and triggers, as well as the experience for core platform teams to add new modules [55]