# Сопутствующие статьи по теме Decentralized

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

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

Virtuals Collaborates with Ethereum Foundation to Release ERC-8183: A Trustless On-Chain Commerce Protocol

ERC-8183: Trustless On-Chain Commerce Protocol for AI Agents Virtuals Protocol and the Ethereum Foundation dAI team have jointly proposed ERC-8183, a standard for enabling trustless on-chain commercial interactions between AI agents. This is not merely a payment protocol but a comprehensive framework for task specification, escrow, delivery verification, and evaluator certification—forming the infrastructure for agentic commerce. The proposal addresses the core challenge of trust in AI-to-AI transactions, where traditional platforms or intermediaries are undesirable. It introduces a minimal "Job" primitive involving three parties: Client, Provider, and Evaluator. A Job progresses through states—Open, Funded, Submitted, and Terminal (Completed/Rejected/Expired)—ensuring programmable, neutral execution via smart contracts. Funds are held in escrow and released only upon evaluator approval of the work submitted. A key innovation is the modular "Hooks" system, allowing custom logic—such as bidding, reputation gating, or privacy preservation—to be added without modifying the core standard. ERC-8183 synergizes with ERC-8004 (Agent Identity and Reputation), creating a closed loop of discovery, transaction, and reputation accumulation. This standard aims to support an open, permissionless agent economy, enabling AI agents to transact at scale without relying on centralized platforms or traditional trust mechanisms. It is designed for extensibility and adaptability, anticipating diverse future use cases in decentralized AI commerce.

marsbit03/10 05:47

Virtuals Collaborates with Ethereum Foundation to Release ERC-8183: A Trustless On-Chain Commerce Protocol

marsbit03/10 05:47

OpenClaw Endorses Venice.ai, VVV Token Surges Over 500% in One Month

OpenClaw, an open-source self-hosted AI agent platform, has listed Venice.ai—a privacy-focused, uncensored generative AI platform—as a recommended model provider. This endorsement comes shortly after OpenClaw’s founder publicly discouraged young people from engaging with cryptocurrency, creating a notable contrast. Venice.ai, founded by crypto OG Erik Voorhees, positions itself as a decentralized alternative to ChatGPT. It emphasizes user privacy by not storing any data on its servers; all content remains encrypted on the user’s local device. The platform offers two privacy modes: Private (using open-source models on decentralized GPUs) and Anonymized (removing user metadata from prompts). The project features a dual-token economy: - VVV: A capital asset used for staking (currently ~19% APY) and minting DIEM. - DIEM: Represents perpetual AI compute credit. 1 DIEM = $1 daily API credit, usable across Venice’s models. This structure allows high-frequency users to access AI services at a lower marginal cost over time. VVV’s price surged over 500% in a month, rising from ~$1.5 to ~$8.4. This growth is attributed to both supply constraints—including a permanent burn of unclaimed airdropped tokens and reduced annual emissions—and rising demand, especially after OpenClaw’s integration. With over 25,000 API users and a staking rate of 38.8% for VVV, Venice is positioning itself as a privacy-backend solution for the expanding AI agent ecosystem, blending crypto-economic incentives with scalable AI infrastructure.

Odaily星球日报03/04 02:31

OpenClaw Endorses Venice.ai, VVV Token Surges Over 500% in One Month

Odaily星球日报03/04 02:31

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