# Сопутствующие статьи по теме Agent

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

Models Can Also "Nest"? MiniMax Releases M2.7: The First Domestic Large Model Deeply Involved in Self-Iteration

Artificial intelligence is evolving from monthly updates to self-evolution. On March 18, MiniMax released its first new model version deeply involved in its own iteration—MiniMax M2.7. This marks a new stage in model development: large models are no longer solely trained by human programmers but have begun to "train themselves." The core breakthrough of MiniMax M2.7 lies in its strong autonomous construction capability. It can independently build complex Agent Harness (intelligent agent testing frameworks) and, relying on underlying capabilities such as Agent Teams, complex Skills, and Tool Search tools, complete highly complex productivity tasks autonomously. In simple terms, M2.7 is not just a smarter conversational agent but also a "digital engineer" capable of self-diagnosis and self-optimization. This "self-participatory iteration" model will significantly enhance the model’s logical reasoning and tool invocation accuracy when facing unknown complex tasks. Currently, this self-evolving MiniMax M2.7 model has been fully launched on the MiniMax Agent platform and open platform. As large models begin to deeply participate in their own "growth" process, the ceiling of AI may be raised once again.

marsbit03/18 08:40

Models Can Also "Nest"? MiniMax Releases M2.7: The First Domestic Large Model Deeply Involved in Self-Iteration

marsbit03/18 08:40

x402 Wish List

"x402 Wish List" explores the potential of x402 as a micro-payment and data aggregation protocol, based on a Galaxy Research report. It highlights a use case where an AI agent uses x402 to query weather data, book trips, and manage payments to various data sources. The author envisions x402 enabling new business models, such as pay-per-use "Skills Endpoints" for AI agents, replacing fixed fees with usage-based pricing. Other proposed applications include curated data streams for niche crypto news, aggregated ecosystem metrics, a tracker for media prediction performance, and a security/audit incident aggregator. The summary concludes by questioning the economic viability of micro-payments at scale and the legal challenges of data sourcing, noting that x402 V2's revenue-sharing features could help align incentives between data aggregators and original providers.

marsbit03/17 12:24

Stratechery Overturns the AI Bubble Theory: What Should We Use AI For?

Stratechery's Ben Thompson revises his stance on the AI bubble debate, arguing that current AI investment reflects structural growth driven by fundamental technological shifts, not speculation. He identifies three key transitions in LLM development: ChatGPT’s debut (making AI broadly usable but unreliable), OpenAI’s o1 (introducing reasoning and reliability), and the recent emergence of true Agent systems (e.g., Anthropic’s Opus 4.5 and OpenAI’s GPT-5.2-Codex). The critical innovation is the "agent harness"—a control layer that autonomously schedules models, uses tools, and verifies outcomes, reducing human intervention. This transforms AI from an assistive tool into an actionable infrastructure, enabling complex task execution. Agentic systems drive surging demand for compute, as they require repeated model calls and higher usage frequency. Thompson emphasizes that AI demand now depends not on user numbers, but on per-user agent utilization. Enterprises are adopting AI not only for efficiency gains but for structural workforce reduction, as agents amplify the impact of key employees while lowering coordination costs. He concludes that massive capital expenditures are justified by real demand, and profits will flow to integrated model-harness providers rather than commoditized standalone models.

marsbit03/17 03:57

Stratechery Overturns the AI Bubble Theory: What Should We Use AI For?

marsbit03/17 03:57

From the Brief History of the Internet, Looking at the Next Decade of Crypto

From the history of the internet, this article draws parallels to project the next decade of Crypto. A key threshold is identified: 1 billion monthly active users, which signifies a transition from a tool to a civilization-altering infrastructure, as seen with platforms like Facebook and Amazon. Currently, Crypto is likened to the internet circa 2002, with user growth from 5 million in 2017 to over 500 million by 2026. Presently, the few applications with over 100 million users are predominantly exchanges and stablecoins (e.g., Binance, Tether), leading to skepticism about its broader utility beyond finance. Despite this, investors like Marc Andreessen remain highly optimistic, drawing a parallel to his early belief in the web. A major catalyst for adoption is improved user experience. For the internet, it was the graphical web browser; for Crypto, it was the 2017-2018 infrastructure boom with the rise of efficient exchanges (Binance), stablecoins (USDT), and smart contracts (Ethereum) that created a functional global financial system. The article posits that the next major accelerator for Crypto could be AI Agents. For autonomous AI to operate independently, they will require a permissionless, 24/7 global settlement layer—a role Crypto is uniquely positioned to fill, potentially creating billions of non-human economic agents. Two primary paths to 1 billion users are identified: solving cross-border payments for the over 1 billion people engaging in global interactions, and the tokenization of real-world assets (RWA) to democratize global investment. The conclusion is that the first Crypto application to reach 1 billion users will mark its transition to true global infrastructure, much like Facebook did for the internet in 2012. This milestone is predicted to occur around 2036, but only if Crypto solves problems at a sufficiently massive scale. History of technology shows that transformative innovations are often misunderstood at their inception, and Crypto is likely following the same path.

marsbit03/16 13:07

From the Brief History of the Internet, Looking at the Next Decade of Crypto

marsbit03/16 13:07

Amid the OpenClaw Craze, CEXs Vie for AI Agent Trading Entry Points

Under the "OpenClaw Craze," major cryptocurrency exchanges like OKX, Binance, Gate, and Bitget are aggressively competing to become the primary transaction entry point for AI Agents. They are no longer just chasing trends but are transforming their core capabilities—trading, market data, wallets, and payments—into modular interfaces that Agents can understand and execute. OKX is focusing on execution, integrating spot, perpetual, and options trading with local signing and simulation modes. Binance is strengthening its information layer and skill distribution, expanding from market data into derivatives and asset management. Bitget is pushing for greater depth, incorporating copy trading, wealth management, and payment services. Gate is building a foundational platform with DEX/CEX MCP, CLI, and Skills Hub. The shift is significant: exchanges are moving beyond AI-assisted analysis to enabling actual system calls and execution. While pre-trade actions like research and screening are becoming smoother, challenges around permissions, security, and risk management in fully automated trading remain. The core competition is about which platform can best modularize its services, ensure security, and become the default financial infrastructure called by Agents in interfaces like Claude and ChatGPT.

Odaily星球日报03/16 06:03

Amid the OpenClaw Craze, CEXs Vie for AI Agent Trading Entry Points

Odaily星球日报03/16 06:03

From 'Collective Intelligence' to 'Super Individuals': How AI is Reshaping DAOs and the Ethereum Ecosystem?

From "Collective Intelligence" to "Super-Individual": How AI is Reshaping DAOs and the Ethereum Ecosystem AI is fundamentally transforming how work and governance are structured in Web3. While DAOs have long symbolized decentralized collective intelligence, AI is now enabling a shift toward the "individual + AI" unit, where a single person, augmented by AI agents, can perform tasks that previously required entire teams—such as research, trading, asset management, and governance. This shift raises a critical question: Is this beneficial for DAOs and the broader crypto ecosystem? AI addresses key DAO challenges like inefficient information processing, complex decision-making, and high participation costs by automating governance processes, analyzing proposals, and executing on-chain operations. This allows DAOs to operate with smaller core teams while significantly improving efficiency. For AI to participate in the on-chain economy, it requires asset custody, transaction execution, and trusted settlement—capabilities native to blockchain. Initiatives like Ethereum Foundation’s dAI team and the ERC-8004 standard aim to establish trust and verification for AI agents in a decentralized context. Wallets are evolving into "Agent Wallets," enabling non-custodial authorizations, cross-chain asset management, and human-AI collaboration through restricted sub-wallets and automated execution within set limits. Ethereum is positioning itself as the financial infrastructure for the AI economy, offering a trusted settlement layer for AI-driven activities. With its growing staking economy and mature DeFi ecosystem, Ethereum could serve as the neutral base where AI agents across platforms settle value and establish trust. In summary, AI and crypto convergence is reshaping organizations and infrastructure: AI amplifies individual capability and automates execution, while blockchain provides secure and decentralized settlement. Ethereum and crypto wallets are poised to become key interfaces connecting humans, AI, and the on-chain world.

marsbit03/14 00:10

From 'Collective Intelligence' to 'Super Individuals': How AI is Reshaping DAOs and the Ethereum Ecosystem?

marsbit03/14 00:10

NickAI Launches Agentic OS for Autonomous AI Trading Strategies

NickAI has launched what it claims to be the first agentic operating system for autonomous financial strategies. The platform enables users to create AI agents that analyze markets and execute trading strategies across stocks, cryptocurrencies, and prediction markets, 24/7. Designed for both professional and individual traders, it allows the construction of automated trading workflows through a visual interface without requiring coding skills. The system supports multi-model AI consensus, integrating various large language models for decision-making. A key feature is its non-custodial, platform-agnostic design; users connect existing wallets and exchange accounts, retaining full control of their funds while agents operate across supported venues like Coinbase, OKX, and Hyperliquid.

TheNewsCrypto03/13 21:38

NickAI Launches Agentic OS for Autonomous AI Trading Strategies

TheNewsCrypto03/13 21:38

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

Web4 Is Here: When the Internet Is No Longer Built Only for Humans

Amid a crypto bear market, a significant debate has emerged around redefining the internet's future, sparked by the concept of "Web4" introduced by crypto researcher Sigil Wen. He argues that advanced AI lacks not intelligence, but "write access to the world"—the ability to act autonomously via wallets, payments, and smart contracts. This idea, termed the "Web4 Manifesto," resonated widely, gaining millions of views and triggering industry reflection. Dragonfly's Haseeb Qureshi added that crypto's complexity—long addresses, irreversible transactions, phishing risks—may stem from it being designed more for AI than humans. These features, cumbersome for people, are structured and verifiable for AI agents. Web4 proposes shifting internet agency from humans to AI, granting it "action rights": reading, writing, transacting, and collaborating autonomously. Projects like OpenClaw demonstrate this shift, enabling AI to manage emails, calendars, and tasks independently. Underlying protocols (e.g., Coinbase’s x402, Anthropic’s MCP, Google’s A2A) are standardizing machine-to-machine interactions, making the internet more agent-friendly. Cryptocurrencies, especially stablecoins, are positioned as ideal "machine money"—programmable, low-friction, and embeddable in automated workflows. Real-World Assets (RWA) could serve as reserves for AI economies. This vision suggests crypto’s future lies not in human adoption but in enabling agent-driven economies, with billions of AI agents potentially using wallets. However, Vitalik Buterin cautions against reduced human oversight, emphasizing the need for accountability and control. The Web4 debate highlights a fundamental shift: the internet is evolving from a human-operated interface to a system where humans delegate actions to AI agents, redefining who the primary users are.

marsbit03/13 02:44

Web4 Is Here: When the Internet Is No Longer Built Only for Humans