一文读懂Web3的技术与应用
Web3已从概念走向现实,2025年全球市场规模达213.5亿美元,中国相关产业规模超200亿元。其核心在于用户主权,通过区块链、智能合约、NFT和DID实现权力重分配。五大应用场景包括:DeFi(TVL超1200亿美元)、NFT实用化(如星巴克权益)、DAO(活跃组织超5000个)、GameFi(超3100款游戏)和去中心化身份。市场正从投机转向价值驱动,未来机会聚焦创作者经济、数字身份及RWA资产代币化,目标重建数字信任与公平。
Web3已从概念走向现实,2025年全球市场规模达213.5亿美元,中国相关产业规模超200亿元。其核心在于用户主权,通过区块链、智能合约、NFT和DID实现权力重分配。五大应用场景包括:DeFi(TVL超1200亿美元)、NFT实用化(如星巴克权益)、DAO(活跃组织超5000个)、GameFi(超3100款游戏)和去中心化身份。市场正从投机转向价值驱动,未来机会聚焦创作者经济、数字身份及RWA资产代币化,目标重建数字信任与公平。
MCP (Model Context Protocol) is a protocol that allows large models to interact with external tools and services. Cursor IDE supports AI assistants to invoke tools to perform searches, browse the web, and code operations through the MCP Servers feature. MCP servers can be added through the Settings interface and configured at both the global and project levels.MCP is written in multiple languages and allows the AI to run tools automatically or manually and return results, including images. Recommended resources include Awesome-MCP-ZH, AIbase, and several MCP client tools. Commonly used MCP services such as Sequential Thinking, Brave Search, Magic MCP, etc. enhance AI's ability to think, search, front-end development efficiency, and other features, respectively.
Cursor MCP Servers Configuration Guide and Cursor Practical MCP Recommendations Read More "
The Gemini 2.0 model, introduced by Google DeepMind, significantly improves PDF document processing capabilities. Compared to traditional solutions in terms of accuracy, cost and scalability deficiencies, Gemini 2.0 significantly optimizes the PDF parsing process through structured data extraction, semantic chunking and efficient batch processing, and provides a variety of model options to balance performance and cost.
Gemini 2.0 PDF Explained: Code Examples and Best Practices Read More "
LangGraph is a revolutionary AI framework for processing complex tasks through graph structures that support multi-step reasoning, dynamic decision-making, and multi-intelligence collaboration. Its core includes node, edge and state management, suitable for building intelligent workflows. Compared with traditional chaining frameworks, LangGraph is equipped with conditional routing, loop control and visualization features, and has a wide range of applications in intelligent customer service, text processing and other fields.