"JARVIS"

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The article provides an in-depth exploration of the application prospects of AI Agents in fields such as healthcare, autonomous driving, and finance. It highlights the advantages of using smart contracts as behavioral guidelines, emphasizing features like decentralization, immutability, and traceability. At the same time, the author objectively analyzes the challenges faced by this technological combination, including security issues, scalability limitations, ethical responsibility, and privacy controversies, while warning about the potential to exacerbate social inequality.

UMA is a DeFi platform that enables users to create, trade and manage synthetic assets that track the value of underlying assets using smart contracts on the Ethereum blockchain.

This article delves into the applications and potential of AI agent technology within Web3 and cryptocurrency. It focuses on the Spectral project, exploring how it leverages blockchain and AI to enhance decentralized governance, data privacy, and on-chain transactions. The article also details its vision for a machine intelligence network and the future development of the InferChain network.

Gate Research Daily Report (November 18): Over the past 24 hours, Bitcoin's price has decreased by 0.79%, currently trading at $90,477, showing signs of consolidation at high levels. The net outflow from U.S. Bitcoin spot ETFs is approximately $370 million, while Ethereum spot ETFs have seen a net outflow of $59.87 million. Bitcoin miners' reserves have continued to decline, dropping to around 1.8 million BTC, the lowest in three years. Meanwhile, the Total Value Locked (TVL) in the Sui ecosystem has surpassed $1.6 billion, setting a new all-time high. The DEXX platform experienced a security breach due to improper management of its official private key, resulting in a private key leak and total losses close to $20 million. Between November 15 and November 18, two projects announced successful funding rounds, raising over $2 million in total.

Bittensor is an ecosystem that combines AI and encryption technology. Its token TAO has risen more than other projects, but it is considered too expensive. The quality of Bittensor ecological projects that have emerged recently is of varying quality, making it difficult for investors to participate. Bittensor proposed a product idea that combines AI and Web3, but the encryption field is not optimistic about this. The future of Bittensor remains to be seen, but its ability to attract liquidity and yield results remains a question.

This article explores the concept, development history, classifications, key innovations, and challenges faced by AI agents in cryptocurrency. Through case studies of each classification, it helps users quickly grasp the opportunities AI agents present in the crypto industry.

The EMC project is an innovative decentralized AI computing power platform that aims to address the imbalance between supply and demand for computing power by integrating idle GPU resources from around the world. The platform offers various services, including EMC Hub, JarvisBot, and OmniMuse, to facilitate the training and application of AI models. EMC's dual-deflationary economic model and distributed architecture ensure that users can access high-performance computing power at a low cost while creating more opportunities for developers to participate. In the future, EMC will continue to expand its applications in fields such as healthcare, finance, and the Internet of Things, promoting the popularization and development of AI technology.

This report analyzes AI Agent development in Web2 and Web3. Web2 AI Agents focus on infrastructure and B2B services, while Web3 emphasizes model training and platform aggregation. Despite comprising only 8% of Web3 projects, AI Agents represent 23% of the AI sector's market cap, showing strong competitiveness. The report examines commercialization challenges and Web3-AI integration. It predicts AI's future will align with Web3 principles through model standardization and diverse applications.

This article will explore the future development of AI and cryptocurrency, as well as explore investment opportunities, through seven modules: computing power cloud, computing power market, model assetization and training, AI Agent, data assetization, ZKML, and AI applications.