In recent years, the integration of AI and Web3 has been developing at an unprecedented speed, and the emergence of DeepSeek has accelerated this trend. As a new generation of LLM (Large Language Model), DeepSeek not only demonstrates advantages in reasoning quality and cost, but also redefines the development direction of decentralized intelligent agents (AI Agents). From the initial technological breakthroughs to the current integrated application of multiple projects, DeepSeek is pushing the Web3 ecosystem towards a new stage of intelligence.
How LLM shapes the Web3 smart ecosystem
As one of the core technologies of AI Agent, LLM provides powerful natural language understanding and interaction capabilities for intelligent agents. However, AI Agent does not rely solely on LLM, but combines decision logic, environmental interaction, data processing and other functions to form a complete application solution. For example, some leading Web3 projects have adopted AI Agent in the fields of decentralized finance (DeFi), automatic execution of smart contracts, NFT market analysis, etc. to improve user experience and operational efficiency.
The emergence of DeepSeek further lowers the deployment threshold of AI Agent, enabling developers to build smarter decentralized applications using efficient LLM technology. Compared with traditional AI models, DeepSeek enables Web3 projects to obtain high-quality AI capabilities at a lower cost with its open source features and optimized computing resource management.
DeepSeek's compatibility and industry applications
DeepSeek supports a calling method compatible with the OpenAI API, allowing various AI Agents to quickly integrate their models for seamless upgrades. This means that both existing decentralized applications (DApps) and emerging AI-driven Web3 projects can easily access DeepSeek 's technical framework.
Techub News has long been paying attention to the deep integration of AI and Web3, and has observed that multiple Web3 projects have announced support for DeepSeek. For example, some DeFi protocols are trying to use DeepSeek to optimize the decision-making mechanism of smart contracts, improve transaction efficiency and reduce risks. In addition, the NFT market is also exploring how to analyze user behavior through AI to provide more accurate recommendations and pricing strategies.
Future trends and industry perspectives
With the continuous advancement of AI technology, the intelligentization process of Web3 ecology will be further accelerated. Industry experts generally believe that the addition of DeepSeek will not subvert the existing AI Agent market, but will accelerate its evolution. For example:
Frank, founder of DeGods, pointed out that Web3 projects can quickly improve the capabilities of AI Agents by simply replacing API calls, and the impact of DeepSeek is incremental rather than replacement.
AI investor Daniele believes that DeepSeek 's low-cost strategy enables more developers to access AI technology, thereby promoting the prosperity of the entire industry.
Shaw, founder of ai16z DAO, emphasized that the competition between AI laboratories is long-term, and the birth of each new generation of models will inject new vitality into the market.
