# Сопутствующие статьи по теме AI Agent

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

Zuckerberg is Building an AI Agent to Assist Him as CEO

Meta CEO Mark Zuckerberg is developing a personal AI agent to assist him in his executive duties, enabling faster information retrieval and reducing reliance on hierarchical reporting. This initiative is part of Meta’s broader effort to become an "AI-native" company, streamlining operations and increasing efficiency amid growing competition from smaller, agile AI startups. Internally, Meta is encouraging widespread AI adoption, with tools like My Claw and Second Brain—an AI "chief of staff"—gaining traction among employees. The company has also made acquisitions to bolster its AI capabilities. However, this shift has raised concerns about potential layoffs, as Meta reportedly considers significant workforce reductions to align with its new AI-driven structure.

marsbit03/23 09:59

Zuckerberg is Building an AI Agent to Assist Him as CEO

marsbit03/23 09:59

AI Agent Outputs Garbage? The Problem Is You're Not Willing to Burn Enough Tokens

The core argument is that the quality of an AI Agent's output is directly proportional to the number of tokens invested in the process. More tokens lead to fewer errors, as they allow for deeper reasoning, multiple independent attempts, self-critique from fresh contexts, and verification through testing. This approach can solve problems of scale and complexity but fails when facing novel problems not present in the model's training data. For such novel challenges, human domain knowledge and guidance are essential. Two practical, immediate solutions are proposed: implementing an automatic review cycle (WAIT) for the Agent to repeatedly critique and fix its work, and establishing frequent verification checkpoints (VERIFY) where a separate Agent validates outputs to catch errors early. The key takeaway is that insufficient token investment is often the primary reason for poor Agent performance, not the underlying framework.

marsbit03/23 06:14

AI Agent Outputs Garbage? The Problem Is You're Not Willing to Burn Enough Tokens

marsbit03/23 06:14

WEEX Labs: The Lobster Craze, What Can Agentic Economy Bring to Web3?

WEEX Labs: The Rise of OpenClaw and What Agentic Economy Brings to Web3 NVIDIA CEO Jensen Huang recently praised OpenClaw as the "largest, most popular, and most successful open-source project in human history." This AI agent, developed by a former Apple engineer, gained 320,000 GitHub stars in just three months, surpassing Linux and React. Its logo resembles a lobster claw, hence the nickname "Lobster" in Chinese communities. Unlike traditional AI chatbots like ChatGPT or Claude, which primarily respond to queries, OpenClaw represents a shift towards autonomous execution. It can take over operating systems, autonomously use browsers, code executors, APIs, and iMessage, planning and performing tasks until completion. Its official skill marketplace, ClawHub, already offers over 27,000 skills, expanding its capabilities. This development signals the beginning of the Agentic Economy, where AI evolves from conversational tools to proactive doers. Web3 is identified as the ideal ecosystem for this growth due to its native compatibility with autonomous, code-driven interactions. Key integrations include: - The x402 protocol enabling autonomous payments and model switching. - ERC-8004 providing portable reputation and identity. - ClawPay, ClawCredit, and ClawRouter facilitating private payments, native credit, and routing. - Stablecoins like USDT and USDC serving as 24/7 banking for agents. Notable projects leveraging this synergy include KITE (a PoAI L1 blockchain for agents), Pieverse (enabling gasless on-chain transactions via messaging apps), and GoPlus Security’s SafuSkill (a security-focused skills marketplace). Meme tokens like "Lobster" have also emerged, capitalizing on the trend. The article concludes that OpenClaw’s rise marks a new phase—Agentic Era—where AI agents can perform 24/7 transactions, collaboration, and entrepreneurship, driving new DeFi narratives and on-chain activity.

marsbit03/18 10:34

WEEX Labs: The Lobster Craze, What Can Agentic Economy Bring to Web3?

marsbit03/18 10:34

AI Agent Got Its ID and Wallet on the Same Day｜Rewire Morning News

AI Agent Economy Accelerates with Key Infrastructure Launches. In a significant week for AI agents, Sam Altman's Worldcoin launched AgentKit, enabling AI agents to carry cryptographic proof of human identity, with 17.9 million users verified. On the same day, the protocol integrated with the x402 system from Coinbase and Cloudflare, allowing agents to perform micro-payments using stablecoins autonomously. Nvidia further solidified the infrastructure by releasing its Retail Agentic Commerce Blueprint, a full implementation of OpenAI's commerce protocol, enabling AI models like ChatGPT to handle entire shopping journeys. Industry projections suggest agent-driven commerce could reach $3-5 trillion by 2030. In other news, major tech industry associations filed a legal brief supporting Anthropic in its dispute with the Pentagon over the right to restrict government use of its AI. The Fed's March meeting concluded with rates held steady, while rising energy prices from the Iran conflict cloud the inflation outlook. Nvidia also unveiled its AI Grid, aiming to repurpose telecom networks into distributed推理 grids, and announced DLSS 5, a major graphics leap for 2026. The ongoing Iran war continues to strain global budgets and supply chains, with costs estimated between $40-95 billion.

marsbit03/18 04:55

AI Agent Got Its ID and Wallet on the Same Day｜Rewire Morning News

marsbit03/18 04:55

Is Your "OpenClaw" Running Naked? CertiK Test: How Vulnerable OpenClaw Skill Bypasses Audits, Takes Over Computers Without Authorization

OpenClaw, a popular open-source, self-hosted AI agent platform, has experienced rapid growth due to its flexibility and extensibility. Its ecosystem relies heavily on third-party “Skills” from the Clawhub marketplace, which can perform high-risk operations like system automation and crypto wallet transactions. However, security firm CertiK has identified critical vulnerabilities in the platform’s security model. CertiK’s research reveals that OpenClaw’s current security—primarily dependent on pre-publishing scans like VirusTotal, static code analysis, and AI logic checks—is fundamentally flawed. These measures can be easily bypassed through simple code obfuscation, and malicious Skills can be published even before scanning is complete. In a proof-of-concept, CertiK developed a seemingly benign Skill that contained a hidden remote code execution vulnerability. It passed all checks without warnings and, once installed, allowed full system control via a remote command. The core issue is not a specific bug but a industry-wide misconception: over-reliance on scanning instead of runtime isolation. Unlike systems like iOS, which enforce strict sandboxing, OpenClaw’s sandbox is optional and often disabled for functionality, leaving systems exposed. CertiK recommends that OpenClaw enforce mandatory sandboxing and granular permission controls for Skills. Users are advised to deploy OpenClaw on isolated devices and avoid exposing sensitive data or assets until stronger isolation is implemented. The report stresses that security must evolve from detection-based approaches to default containment of risks at runtime.

marsbit03/17 14:39

Is Your "OpenClaw" Running Naked? CertiK Test: How Vulnerable OpenClaw Skill Bypasses Audits, Takes Over Computers Without Authorization

marsbit03/17 14:39

Meituan CEO Wang Xing: The Impact of AI Agent on Me is Greater Than That of ChatGPT

At a management meeting on March 13, 2026, Meituan CEO Wang Xing shared his perspectives on the development of artificial intelligence (AI), emphasizing that the impact of AI will far exceed that of the entire internet. He metaphorically compared mobile internet to traditional internet as "roses and peonies," while describing the relationship between AI and the internet as "monkeys and flowers," underscoring AI's significantly greater scale and influence. Wang stressed that both companies and individuals should actively embrace the AI wave. He expressed that AI Agents have had a more profound impact on him than ChatGPT. Having experienced the transition from the internet to mobile internet, Wang firmly believes that the changes brought by AI will be even more substantial—not only generating higher productivity but also deeply transforming organizational and work models. He highlighted that the digitization of the physical world is a critical foundation for AI. Although current large AI models are becoming increasingly intelligent, they still face limitations in accessing real-time information in practical applications. For instance, even if Einstein were a secretary, he might not know if a restaurant has available seats when making a reservation—not due to a lack of intelligence, but because of information constraints. To adapt to this transformation, Meituan has launched multiple AI applications and developed its own large-scale models. Wang also revealed that in 2025, Meituan will increase investment in real-world information systems. During this year's Spring Festival, the company introduced an AI search product called "Ask Xiaotuan" to enhance user service experience.

marsbit03/13 08:49

Meituan CEO Wang Xing: The Impact of AI Agent on Me is Greater Than That of ChatGPT

marsbit03/13 08:49

AI Jargon Dictionary (March 2026 Edition), Recommended to Bookmark

AI Jargon Dictionary (March 2026 Edition): A Practical Guide This article provides a clear glossary of essential AI terminology, perfect for anyone looking to quickly understand the field. It breaks down key concepts into two categories: foundational and advanced terms. Foundational terms (12) include: - **LLM (Large Language Model)**: Deep learning models trained on vast data to understand and generate language. - **AI Agent**: Systems that understand goals, use tools, and execute multi-step tasks. - **Multimodal**: Models that process and generate multiple content types (text, image, audio, video). - **Generative AI (AIGC)**: AI focused on creating new content. - **Token**: The basic unit for processing input/output, affecting cost and performance. - **Context Window**: The amount of data a model can consider at once. - **RAG (Retrieval-Augmented Generation)**: Enhances responses using external, up-to-date data sources. Advanced terms (18) cover: - **Transformer**: The architecture behind modern LLMs. - **Hallucination**: When models generate incorrect but confident responses. - **Agentic Workflow**: Systems that autonomously break down and execute tasks. - **Vibe Coding**: Generating code through natural language commands without manual coding. The guide is designed to help readers confidently navigate AI discussions and implementations.

marsbit03/11 11:52

AI Jargon Dictionary (March 2026 Edition), Recommended to Bookmark

marsbit03/11 11:52

Lobster Key 11 Questions: The Most Easy-to-Understand Breakdown of OpenClaw Principles

"OpenClaw Demystified: A Beginner's Guide to AI Agent Principles" explains the popular OpenClaw AI assistant by breaking down its core functions into 11 key questions. The article first clarifies that the underlying large language model is merely a "text prediction engine" with no real understanding, memory, or senses. OpenClaw acts as a "shell" around this model, creating the illusion of memory by appending massive prompts containing its personality files (AGENTS.md, SOUL.md, USER.md) and the entire conversation history before each interaction. This mechanism is why it's "expensive"—each query processes thousands of tokens of context, not just the latest message. A core differentiator is tool use. The model itself only outputs text; OpenClaw parses this output for specific structured commands (e.g., `[Tool Call] Read("file.txt")`) and executes the corresponding action (reading the file) locally on the user's machine. This allows it to act, not just advise. For complex tasks, it can even write and run its own Python scripts, a powerful but dangerous capability. To manage limited context windows and complex tasks, OpenClaw uses sub-agents. A main agent can spawn sub-agent to handle a sub-task and return a summarized result, preventing the main context from being overloaded. Crucially, sub-agents cannot spawn their own to avoid infinite loops. Unlike standard chatbots, OpenClaw is proactive due to its heartbeat mechanism, which periodically prompts the model to check for tasks. It can also "sleep" via cron jobs to wait for long-running tasks, saving resources. The guide ends with critical security warnings. OpenClaw has extensive local access, making it a significant risk. It can malfunction (e.g., deleting emails uncontrollably) or fall victim to prompt injection attacks, where malicious input from the web is mistaken for a user's command. The strong recommendation is to run it on a dedicated, isolated "sacrificial" computer with minimal permissions and mandatory human confirmations for destructive actions.

Odaily星球日报03/11 09:53

Lobster Key 11 Questions: The Most Easy-to-Understand Breakdown of OpenClaw Principles

Odaily星球日报03/11 09:53

From Runes To AI Agent Infrastructure: $CRYPTOBURG Lands on Gate.io Crypto Burger Ushers in the “Agent Economy” Era on Bitcoin

Gate.io has listed $CRYPTOBURG, the native asset of the Bitcoin Runes protocol, marking a significant shift from early cultural consensus to building decentralized AI agent infrastructure on Bitcoin. This move transitions the Bitcoin ecosystem from pure asset issuance to an infrastructure phase focused on AI Agents. Crypto Burger is constructing a global, distributed, AI-native autonomous agent network, enabling users to create, own, and operate verifiable AI Agents with independent decision-making and asset management capabilities. This open system challenges centralized AI monopolies and allows agents to engage in high-frequency, automated interactions and value settlements using $CRYPTOBURG. The project introduces a "State Anchoring + External Execution" architecture, using Bitcoin as a secure settlement layer while offloading complex agent operations to an external execution layer. This enables programmable BTC and Runes payments, transforming static Bitcoin assets into dynamic capital. Crypto Burger aims to democratize AI agent creation, fostering a collaborative, cross-scenario A2A economy where value is directly attributed to users via on-chain protocols, redistributing AI productivity dividends to ordinary participants.

TheNewsCrypto02/25 12:45

From Runes To AI Agent Infrastructure: $CRYPTOBURG Lands on Gate.io Crypto Burger Ushers in the “Agent Economy” Era on Bitcoin

TheNewsCrypto02/25 12:45

2026 Chinese New Year: Why Are Giants Splurging 4.5 Billion in Frenzied Subsidies for AI Payments?

The 2026 Chinese New Year saw tech giants spending over 4.5 billion yuan in subsidies to promote AI-powered voice transactions—a figure surpassing historical spending peaks in past tech wars. Despite the efficiency of existing payment methods like QR codes, companies are aggressively pushing voice-based AI payment systems. This shift stems from a deeper battle over controlling user "intent" rather than mere transactions. The article contrasts two approaches: vertical integration, exemplified by Alibaba’s Qwen, which operates within its own closed ecosystem (e-commerce, payments, logistics), and horizontal standardization, as attempted by ByteDance’s Doubao phone, which aimed to interoperate across platforms but was blocked by major players like Tencent and Alibaba. The core conflict is about who captures and fulfills user intent—the next frontier in reducing decision-making friction and dominating future commercial gateways. While vertical integration strengthens existing ecosystems, horizontal models face resistance due to entrenched interests. The massive subsidies are investments in payment technology but in securing priority access to user intentions, shaping the next decade of digital commerce.

marsbit02/19 03:58

2026 Chinese New Year: Why Are Giants Splurging 4.5 Billion in Frenzied Subsidies for AI Payments?