Identity Choice between All in Web3 and All in AI
Despite the year-long downturn in the crypto world, we have seen blockchain technology mature and improve continuously during this period. Ethereum 2.0’s launch, for example, has greatly improved the performance and scalability of blockchain technology, opening up more application scenarios. Additionally, Layer2 technology has improved the transaction speed and throughput of blockchain networks, providing a better user experience for more users. Moreover, new technologies and solutions have emerged to address blockchain networks security issues, such as multi-party computation and privacy computing, providing more comprehensive and effective security guarantees for blockchain network security. Therefore, we believe that as technology continues to progress and develop, blockchain technology will be more widely and deeply applied in the future, bringing more possibilities and opportunities for the development and progress of the digital economy.
Starting in 2023, the announcement of ChatGPT3.5 and 4.0 created by OpenAI made many people wonder whether the future belongs to Web3 or AI. Will Web3 become the container for AI?
Web3 (decentralized web) may become the container for AI because it provides a decentralized, programmable, and secure network infrastructure, enabling AI applications to run and interact more safely, openly, and transparently. Web3 is based on blockchain and smart contract technology, enabling AI applications to run on a decentralized network without relying on centralized servers and data centers, thereby improving the reliability and availability of applications. Additionally, based on the transparent rules and programmability of smart contracts, the interaction of AI applications is more open, transparent, and trustworthy. Furthermore, Web3’s decentralized identity authentication and encryption technology provide a more secure operating environment for AI applications, protecting the security and privacy of AI algorithms and data. For instance, decentralized identity authentication technology based on Web3 can provide better identity verification and access control mechanisms for AI applications, preventing unauthorized access and data leakage. Therefore, Web3 may become the container for AI because it provides a more secure, open, and transparent network infrastructure, enabling AI applications to run and interact better. With the continuous development and improvement of Web3 in the future, we believe that it will bring more opportunities and challenges for the development and application of AI applications.
🌐Blockchain and AI
AI and blockchain technologies share many similarities. Both are emerging technologies with highly automated and decentralized characteristics. Furthermore, AI and blockchain technologies often intersect in application scenarios, such as smart contracts, decentralized autonomous organizations, and data sharing. Thus, combining AI and blockchain can bring many new opportunities and possibilities for the development of the digital economy.
Firstly, AI technology requires a large amount of data for training and optimization, and blockchain provides a decentralized data storage and management method, ensuring the security and traceability of data. While processing a large amount of data, AI technology also generates a large amount of intermediate results and model parameters. The management and sharing of these data require a secure and transparent mechanism. Blockchain technology provides trustworthy data management and sharing platform.
Secondly, the application of AI technology often involves multi-party cooperation and coordination, such as data providers, algorithm developers, and application developers. The allocation of interests and cooperation mechanisms among these participants requires a fair and transparent mechanism. Blockchain technology provides a decentralized autonomous organization model, which can provide a fair and trustworthy mechanism for multi-party cooperation.
The application of AI technology also involves issues such as privacy protection and data security. Blockchain technology can ensure the security and privacy of data through encryption and other means. Additionally, the immutability and traceability of blockchain technology can provide an effective means for data tracing and model auditing of AI technology.
The combination of AI and blockchain can bring many new opportunities and possibilities for the development of the digital economy, and can also provide a secure, fair, transparent, and trustworthy environment for the development of AI technology.
🌐The Significance of SFT Protocol
When we look back at some decentralized computing and storage networks that have emerged in the Web3 world, we find that these networks not only provide basic computing and storage services but also provide better conditions and support for the application of AI in a decentralized environment. These production factors include data, algorithms, computing resources, etc.
Decentralized storage networks provide a new solution for AI’s data needs. Traditional AI applications often require a large amount of data for training and optimization, and these data are often scattered in different places and involve issues such as privacy and security. Traditional data storage methods face significant challenges. Decentralized storage networks provide a secure, reliable, and decentralized data storage method, providing better protection and support for AI’s data needs.
Decentralized computing networks provide better conditions and support for AI’s algorithmic needs. Traditional AI applications often require a large amount of computing resources for training and optimization, and these resources are often scattered in different places and involve issues such as computing efficiency and security. Traditional computing resource allocation methods also face significant challenges. Decentralized computing networks provide a secure, efficient, and decentralized computing resource allocation method, providing better protection and support for AI’s algorithmic needs.
The combination of decentralized computing and storage networks provides a more complete and comprehensive solution for the application of AI. By combining computing and storage resources to form a complete decentralized computing and storage network, a more complete and comprehensive solution can be provided for the application of AI, bringing more extensive development space for AI’s application in the Web3 world.
As Web3 already has the production elements of AI, protocol service providers like SFT Protocol are needed to act as a platform linking production and demand, bridging the various technical key links of application services between AI and Web3.
Firstly, SFT Protocol can provide a decentralized data market, providing a secure, reliable, and decentralized data exchange platform for AI’s data needs. On this platform, data providers can store their data in the decentralized storage network and conduct transactions through smart contracts, while data users can securely and efficiently obtain the required data to meet the data needs of AI applications.
Secondly, SFT Protocol can provide decentralized computing resource allocation services, providing a secure, efficient, and decentralized computing resource allocation platform for AI’s algorithmic needs. On this platform, computing resource providers can store their computing resources in the decentralized computing network and conduct transactions through smart contracts, while computing resource users can securely and efficiently obtain the required computing resources to meet the algorithmic needs of AI applications.
Finally, SFT Protocol can provide smart contract services, providing a secure, efficient, and programmable smart contract platform for AI applications. On this platform, AI application developers can write smart contracts to achieve automation, intelligence, and decentralization of AI applications, providing users with a better service experience.
In summary, as a protocol service provider, SFT Protocol can provide a comprehensive solution for the application of AI in the Web3 world, bringing more opportunities and possibilities for the development and application of AI, and providing a secure, fair, transparent, and trustworthy environment for the development of AI technology.
