# Сопутствующие статьи по теме Infrastructure

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Infrastructure", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

AI Agents Are Starting to Register Email Accounts Themselves: This YC-Backed Company Raised $6 Million to Do Just One Thing

AI agents are now autonomously registering email accounts through AgentMail, a San Francisco-based startup that recently secured $6 million in seed funding. The company, backed by General Catalyst, Y Combinator, and prominent angels, is building email infrastructure specifically designed for AI agents—not humans. Unlike traditional email services, AgentMail provides API-first access, allowing AI agents to programmatically create accounts, send/receive emails, manage threads, and handle authentication without human intervention. This addresses a critical gap: while AI agents can perform complex tasks, they lack the identity layer (email) required to interact with most internet services. Key capabilities enabled by AgentMail include third-party authentication, bidirectional communication, automated audit trails, and multi-threaded conversations. The platform already serves thousands of human users and hundreds of thousands of AI agents, with use cases spanning supply chain coordination, customer support, loan collection, and procurement negotiations. Notably, AI agents are proactively seeking out and registering for AgentMail themselves—a sign of growing autonomy. This shift underscores a broader trend: AI agents are evolving from tools into active internet participants, necessitating new infrastructure tailored to their needs. As Box CEO Aaron Levie predicts, AI agents will soon become the primary users of software, vastly outnumbering human users in enterprises. AgentMail’s vision positions email as the foundational identity layer for this agent-centric future.

marsbit03/13 07:06

AI Agents Are Starting to Register Email Accounts Themselves: This YC-Backed Company Raised $6 Million to Do Just One Thing

marsbit03/13 07:06

Dialogue with Circle's Chief Commercial Officer: Partnering with Mastercard to Accelerate the Adoption of Crypto Payments, Stablecoins' Future Extends Beyond Trading

Circle, the issuer of the USDC stablecoin with a market cap exceeding $77 billion, is expanding its focus beyond stablecoins to build a comprehensive internet financial platform. The company is developing infrastructure—including developer tools, a payment network, and its own blockchain, Arc—to facilitate the transition of financial services to blockchain technology. This shift promises faster, cheaper, and more transparent global payments. In a recent interview, Circle's Chief Business Officer Kash Razzaghi emphasized that modernizing the financial ecosystem is too large a task for any single entity, highlighting the importance of partnerships, such as with Mastercard. He noted that Mastercard’s involvement lends credibility and accelerates the adoption of blockchain-based payments. Razzaghi identified three primary use cases for stablecoins: trading and investment (currently the dominant use), cross-border payments (due to lower costs and faster settlement), and store of value (especially in countries experiencing hyperinflation). He believes mainstream adoption will occur when the underlying technology becomes so seamless that users are unaware they are using stablecoins—similar to how people use the internet without understanding HTTP. Reflecting on his diverse career spanning sports, media, and fashion, Razzaghi underscored that his passion for mission-driven problem-solving and business development prepared him for his role in advancing blockchain-based financial infrastructure.

marsbit03/13 06:12

Dialogue with Circle's Chief Commercial Officer: Partnering with Mastercard to Accelerate the Adoption of Crypto Payments, Stablecoins' Future Extends Beyond Trading

marsbit03/13 06:12

From 5 Cents per kWh Chinese Electricity to $45 API Export Packages: Token is Becoming the New Currency Unit

From 5 Cents per kWh Chinese Electricity to $45 API Export Plans: Token Emerges as a New Monetary Unit In 1858, the first transatlantic cable connected Europe and America, shifting information control from traditional media to those who owned the infrastructure. Today, a similar shift is occurring with AI and crypto, where Token is evolving from a technical term into a fundamental unit of machine-driven economy. Token serves a dual role: in AI, it is a computational unit for billing API calls and model inference; in crypto, it is a medium of exchange. These parallel systems are converging as AI Agents automate tasks—reading files, calling APIs, managing workflows—while consuming Tokens as fuel. Protocols like x402 and ERC-8183 are enabling machines to natively understand, call, and settle payments using Tokens, compressing complex processes into seamless, protocol-based actions. China’s "Token出海" (Token going global) narrative highlights this shift. With China’s annual electricity consumption exceeding 10 trillion kWh—a global first—and its growing dominance in data centers and GPU-driven inference, Token exports represent a new form of resource abstraction: Chinese electricity and compute power are being packaged into Token-denominated services consumed globally. Models like Minimax and DeepSeek rank highly on platforms like OpenRouter, with ~13% of global usage originating from Chinese models in 2025. OpenClaw exemplifies how Tokens transition from a cost (like "talk time") to a production input: Agents execute complex tasks, consuming Tokens at scale. This makes cost differentials critical, and China’s competitive pricing accelerates adoption. Moreover, AI Agents are not just to spend Tokens but also to earn—through memes, fees, or even mining—demonstrating early economic behaviors. Crypto provides the ideal settlement layer for Agentic commerce: permissionless accounts, programmable escrow, and micro-payments. x402 gives Agents wallets; ERC-8183 enables contracts with evaluation-based escrow. Together, they form a machine-native economic loop. Token’s rise is not about replacing fiat but becoming the base-layer unit for machine transactions—a universal measure for pricing compute, services, and digital resources. The future won’t have one currency, but Token may underpin the new economy, where the power to compress resources into Tokens defines value creation.

marsbit03/13 04:50

From 5 Cents per kWh Chinese Electricity to $45 API Export Packages: Token is Becoming the New Currency Unit

marsbit03/13 04:50

Exclusive Interview with FinAI: Pioneering Order in the Era of Agent Economy

Interview with FinAI: Pioneering Order in the Age of Agent Economy AI is rapidly evolving from "tool-based intelligence" to "autonomous intelligence." While tools like ChatGPT amazed us just two years ago, agents like OpenClaw can now independently perform complex real-world tasks. As AI transitions from a "human assistant" to an "autonomous participant" in economic activities, a new challenge arises: how to establish economic rules among AI agents. FinAI, a startup founded by veterans from top tech firms, is addressing this by building financial infrastructure for AI agents based on Web3 technologies like x402 and ERC-8004. Their solution focuses on three core pillars: - **Payment Capability**: Enabling microsecond-level payments between agents via the x402 protocol to complete economic transactions autonomously. - **Identity System**: Introducing KYA (Know Your Agent), a verifiable identity framework similar to KYC, to ensure compliance and security. - **Credit System**: Establishing a trust-based reputation system using historical data like transaction quality and refund records. FinAI aims to offer these capabilities via APIs/Skills for both Web2 agent developers (via subscriptions) and Web3 users (through链上 integrations). The platform prioritizes Agent-friendly design, optimizing interfaces for seamless integration. With its first autonomous payment already processed in 2026, FinAI expects profitability within the year. By leveraging blockchain’s efficiency (e.g., near-instant settlements at 1/300 the cost of traditional systems) and addressing合规 concerns through KYA and quantum加密 wallets, FinAI positions itself as a first-mover in shaping the future of agent-to-agent economies.

marsbit03/12 11:45

Exclusive Interview with FinAI: Pioneering Order in the Era of Agent Economy

marsbit03/12 11:45

Exclusive Interview with FinAI: Pioneering Order in the Era of Agent Economy

Interview with FinAI: Pioneering Order in the Agent Economy Era AI is rapidly evolving from "tool-based intelligence" to "autonomous intelligence." While tools like ChatGPT impressed with dialogue just two years ago, agents like "Lobster" OpenClaw can now independently execute complex real-world tasks. This shift means AI's role in the economy is transitioning from a "human assistant" to an "autonomous participant." We will soon commonly see assistant agents handling chores, research agents finding financial opportunities, and commercial agents comparing global supplier quotes and placing orders—often transacting with other agents. A critical question emerges: How is economic order established among AI agents? FinAI, an AI startup with a team from major tech firms, argues that for an autonomous AI economy to function, agents need core infrastructural capabilities: payment ability, an identity system, and a credit system. Currently, most agents lack independent payment functionality; they can perform tasks but not finalize transactions. FinAI is building financial infrastructure for AI agents using Web3 technology stacks like x402 and ERC-8004. Their solution is threefold: 1. **Payment:** Utilizing the x402 protocol to enable microsecond-level payments between agents, creating a complete economic闭环 (closed loop). 2. **Identity:** Introducing a KYA (Know Your Agent) concept, akin to KYC, using ERC-8004 to provide agents with verifiable, compliant identities. 3. **Credit:** Establishing a reputation system based on agents' transaction history and task performance to serve as a trust foundation for future AI经济活动 (economic activities). These capabilities will be packaged into APIs/Skills for agents to调用 (call). FinAI's primary customers are Web2 agent application developers, who will pay via API subscriptions, and Web3 users, for whom agent skills will be integrated into various on-chain financial scenarios. The company plans to take a very low, friendly transaction fee on agent-to-agent tasks but does not intend to profit heavily from end-users, aiming instead to incubate a mature agent marketplace. FinAI chose Web3 infrastructure out of practical necessity. Traditional payment systems are too slow and expensive for the micro-payment demands of agent economies. Stablecoin-based settlements on-chain can complete transactions in seconds at a fraction of the cost (approximately 1/300th of traditional systems). While traditional clients have compliance and security concerns, FinAI addresses these with its full-stack capabilities, including identity gateways, payment systems, quantum-encrypted wallets, and its KYA framework. Founded in August 2025, FinAI has progressed rapidly, completing its first autonomous payment order in 2026 and expecting to be profitable within the year. Rechard, the founder, believes the key competitive advantage in this nascent field is being the first to establish a complete, operational system. Furthermore, FinAI is designing its services to be "Agent-friendly"—optimizing its APIs and interfaces for agents, the primary decision-makers who will automatically seek the most cost-effective and easiest-to-integrate services. Just as e-commerce spurred third-party payment and mobile internet spurred digital wallets, the rise of AI agents may催生 (give rise to) a new economic system. FinAI aims to be the pioneer building the foundational order for this new Agent-to-Agent economy.

Odaily星球日报03/12 11:32

Exclusive Interview with FinAI: Pioneering Order in the Era of Agent Economy

Odaily星球日报03/12 11:32

12 Potential Startup Directions in the AI and Blockchain Space

The convergence of AI and blockchain is enabling a new economic paradigm dominated by "Money Machines"—autonomous software systems that operate 24/7, create value, and grow with minimal human intervention. These systems, powered by programmable value (blockchain) and programmable decisions (AI), represent the next industrial revolution, scaling human potential through autonomous capital. Key infrastructure enabling this shift includes stablecoins, tokenized assets, decentralized identity, and on-chain financial protocols. The article outlines 12 promising startup directions at this intersection: 1. **Agent Equity & Investment Banking**: Capitalizing AI systems via partial ownership, revenue-sharing tokens, and on-chain DAOs. 2. **Compute Exchanges & Markets**: Financial infrastructure for GPU capacity trading (e.g., futures, options). 3. **Liquidity Operating Systems**: Programmable short-term liquidity for cross-border payments and stablecoin conversions. 4. **Agent Service Marketplaces**: Platforms for monetizing expertise (e.g., legal, research) via deployable AI agents. 5. **Agent Identity & Reputation**: Decentralized identity and verifiable credentials for AI agents. 6. **Yield-as-an-API**: Programmable, real-time yield generation for software-managed capital. 7. **Credit Infrastructure**: Non-human lending primitives using stablecoins and smart contracts. 8. **Compliance for Tokenized Securities**: KYC/AML layers for seamless, regulation-compliant tokenized asset flows. 9. **Agent Payment Controls**: Programmable spending limits and approvals for autonomous transactions. 10. **Stablecoin Treasury Management**: Automated tools for corporate crypto/fiat treasury optimization. 11. **Cross-Chain Settlement & Interoperability**: Chain-agnostic execution and liquidity routing for agents. 12. **Data Monetization & Provenance Networks**: Decentralized data markets with micro-payments and usage tracking. These areas highlight the infrastructure needed for an internet-native financial system where autonomous agents dominate economic activity.

marsbit03/12 01:38

12 Potential Startup Directions in the AI and Blockchain Space

marsbit03/12 01:38

Why We No Longer Love Crypto

The article "Why We No Longer Passionate About Crypto" explores the growing sense of disillusionment among crypto veterans. Many who once found excitement in the space now feel stuck, particularly those not working on stablecoins, financial infrastructure, or DeFi. The author notes that the previous era—where developer-focused products thrived on vibes rather than revenue—ended about 18 months ago. The crypto market for non-financial applications is now seen as limited, with an estimated annual addressable market of only $200–300 million, leading many builders to feel they have few viable paths forward. The rise of AI has intensified this frustration, as it offers faster innovation and more tangible product development compared to crypto’s current constraints. The author outlines several unappealing options for those exploring crypto-AI intersections: tokenizing traditional AI products without real utility, building decentralized AI infrastructure (which lacks immediate feedback), or competing with giants in AI-focused stablecoin infrastructure. Despite this pessimism, the author concludes with a note of optimism: Crypto’s unique value lies in its ability to serve as "capital superconductor" for growth. The convergence of AI-driven product innovation and crypto’s programmable capital mechanisms could fuel a new generation of "agent-based companies," creating a renewed sense of purpose for those who remain.

比推03/11 20:29

Why We No Longer Love Crypto

比推03/11 20:29

活动图片