為智能體可信協作提供新方案螞蟻數科登頂以太坊全球基準評測

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⚛️閱讀原文： 量子位

#ai-agents #blockchain-benchmark #decentralized-aiant-digital-technologyant-digital-technology ethereum

💡螞蟻數科技領以太坊智能體可信協作基準—去中心化AI建構者關鍵（32字元）

⚡ 30-Second TL;DR

有什麼變化

螞蟻數科在以太坊全球智能體協作基準評測中排名第一

為什麼重要

提升以太坊上可靠多智能體AI系統，助力AI從業者建構可擴展去中心化應用。確立螞蟻數科在區塊鏈-AI融合領導地位。

下一步行動

測試螞蟻數科以太坊智能體工具包，用於安全多智能體原型開發。

誰應關注：Developers & AI Engineers

關鍵要點

•螞蟻數科在以太坊全球智能體協作基準評測中排名第一
•推出智能體可信互動新方案
•自主研發超過10年用於區塊鏈-AI整合

🧠 深度解析

AI-generated analysis for this event.

🔑 增強重點摘要

•The benchmark in question is the 'Agent-to-Agent' (A2A) interaction framework, specifically focusing on the 'Ethereum Agent Benchmark' which evaluates how AI agents handle cross-chain asset management and smart contract execution.
•Ant Digital Technology's solution utilizes a 'Trusted Execution Environment' (TEE) combined with zero-knowledge proofs to ensure that AI agents can verify each other's identity and authorization without exposing private keys.
•The R&D effort is centered on the 'AntChain' infrastructure, which has been adapted to serve as a middleware layer that bridges off-chain AI reasoning with on-chain Ethereum transaction finality.

📊 競品分析▸ Show

Feature	Ant Digital Technology	Chainlink (CCIP/Functions)	The Graph (Agent-focused)
Primary Focus	Trusted Agent Collaboration	Oracle/Cross-chain Messaging	Data Indexing/Querying
Security Model	TEE + ZK-Proofs	Decentralized Oracle Network	Decentralized Indexing
Benchmark Rank	#1 (Ethereum Agent)	N/A (Infrastructure focus)	N/A (Data focus)

🛠️ 技術深入

Architecture: Implements a multi-layer architecture where the 'Agent Orchestrator' resides in a TEE, ensuring the AI's decision-making process is tamper-proof.
Protocol Integration: Uses a proprietary 'Agent-Blockchain Interface' (ABI) that translates natural language intent into structured Ethereum transaction calls.
Verification: Employs ZK-SNARKs to generate proofs of execution, allowing the Ethereum mainnet to verify that an agent followed specific logic without needing to re-run the entire AI model on-chain.
Latency: Optimization techniques reduce the overhead of ZK-proof generation, enabling sub-second verification for agent-initiated smart contract interactions.

🔮 前景展望AI analysis grounded in cited sources

Autonomous AI agents will become the primary drivers of DeFi transaction volume by 2027.

The ability to securely automate complex cross-chain interactions removes the current bottleneck of manual user intervention in decentralized finance.

Standardized 'Agent Identity' protocols will emerge as a prerequisite for institutional blockchain adoption.

As agents handle higher asset values, the industry will shift toward mandatory cryptographic identity verification to mitigate risks of malicious agent behavior.