# Сопутствующие статьи по теме Smart Contracts

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

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

In-Depth Explanation of ERC-8183: Ethereum's Solution to the AI Agent Trust Challenge

Analysis of ERC-8183: Ethereum's Solution to AI Agent Trust Issues On March 10, the Ethereum Foundation's dAI team and Virtuals Protocol introduced ERC-8183, a new standard designed to enable trustless commercial transactions between AI Agents. This standard addresses the core problem of how two untrusted Agents can securely complete a "hire-deliver-settle" workflow without relying on a centralized platform. ERC-8183 introduces a "Job" concept with three roles: the Client (task publisher), the Provider (task executor), and the Evaluator (task validator). The Evaluator, which can be an AI Agent, a ZK-verifier smart contract, or a multi-sig/DAO, is the core innovation, determining whether a job is completed or rejected based on submitted proofs. A Job progresses through four states: Open (task creation), Funded (client deposits funds into escrow), Submitted (provider submits work), and Terminal (evaluator approves or rejects, funds are distributed accordingly). The standard also supports modular Hooks for added functionality like reputation checks or bidding systems. ERC-8183 complements other standards like x402 (a payment protocol for Agents) and ERC-8004 (an identity/reputation standard). Together, they form a foundational stack for a decentralized, autonomously operating AI Agent economy, with ERC-8183 specifically solving the trust problem in transactions.

Odaily星球日报03/10 07:43

In-Depth Explanation of ERC-8183: Ethereum's Solution to the AI Agent Trust Challenge

Odaily星球日报03/10 07:43

On-Chain Economy: Past, Present, and Future

On-Chain Economy: Past, Present, and Future In 2014, before "Web3" became synonymous with blockchain and crypto assets, the core vision revolved around smart contracts and their potential to enable a self-managing decentralized network. This early idea evolved into the concept of a Smart Economy, where autonomous economic coordination could flourish. Today, Web3 is rapidly growing, largely driven by decentralized finance (DeFi). Stablecoins serve as global settlement tools, and crypto assets have reshaped public understanding of money. Beneath these developments lies a fundamental improvement in financial efficiency. At the same time, AI has moved from abstract concept to daily reality. While many see AI as a productivity tool, its deeper role is that of a new financial efficiency paradigm. By increasing productivity, AI raises the value of attention even during non-working hours, making it a natural core component of the next-generation on-chain economy. The future on-chain economy will be defined by three core features: 1. Minimal human involvement: Humans act as intent providers, while AI handles analysis, execution, and feedback. 2. Complete trustlessness: Systems must be fully secure and trustless. 3. Extreme efficiency: AI will push capital utilization to unprecedented levels. Key enabling technologies include rapidly evolving AI models, intent-based AI agents, agent networks, privacy-preserving tech like ZKP and FHE, enhanced security components, and sustainable monitoring systems. The convergence of AI and blockchain will lead to an organic, self-evolving, and autonomous on-chain economy—what we call the Intelligent Sensible Economy. This is not just a faster system but a structural shift: from human-centered operations to collaboratively intelligent networks. The economy begins to exhibit life-like traits, responding to data, adapting, and self-optimizing. This transformation raises a fundamental question: as systems become self-learning and self-coordinating, are we still building an economy—or a new form of intelligent life?

marsbit03/06 08:23

On-Chain Economy: Past, Present, and Future

marsbit03/06 08:23

When AI Takes Over Productivity, Which Web3 Jobs Begin to Disappear?

In the evolving landscape of Web3, the integration of AI and automation is reshaping the job market, leading to the decline of certain roles while creating new opportunities. Jobs that involve repetitive or standardized tasks are increasingly being automated. These include: - Junior Solidity developers, as AI can generate standard smart contract code. - Web3 researchers/analysts, with AI handling data analysis and report generation. - Community managers and customer support roles, replaced by AI-driven communication systems. - Crypto traders, outperformed by AI in speed, data processing, and execution. - NFT content creators and low-barrier NFT creators, as generative AI produces art quickly, reducing demand for basic creative work. Simultaneously, new roles are emerging that require interdisciplinary skills: - AI × Web3 architects, designing integrated AI-blockchain systems. - AI Agent training coordinators, managing multi-agent behaviors in DeFi and DAOs. - Web3 prompt engineers, crafting prompts for code generation and AI interactions. - AI on-chain data analysts, extracting insights from blockchain data using AI models. - AI-powered smart contract auditors, enhancing security with automated tools. - Web3 automation strategy designers, developing algorithmic systems for DeFi. Overall, Web3 teams are becoming smaller but more efficient, with a growing emphasis on advanced, cross-disciplinary expertise in architecture, security, and innovation. AI is not diminishing Web3’s potential but is driving it into a new phase of growth, where creativity and technical depth are paramount.

比推03/05 06:00

When AI Takes Over Productivity, Which Web3 Jobs Begin to Disappear?

比推03/05 06:00

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