Although the current Web3 technology brings the possibility of decentralization, its complexity still limits large-scale adoption. For ordinary users, managing private keys, understanding smart contracts, and using decentralized applications (DApps) all have high barriers to entry. In addition, Web3 still requires a lot of manual operations, and the user experience has not been substantially improved.
The introduction of AI agents allows these complex processes to be completed automatically by intelligent agents. For example, AI agents can help users manage encrypted assets, automatically execute transactions, and provide optimized financial investment services. In fact, many of the above AI-integrated Web3 applications are already on the market.
As AI drives the progress of Web3, we can see that the traditional Internet is undergoing a new transformation. It may no longer be Web4 or Web5, but enter a post-Web Internet era dominated by AI agents. In Post-Web, AI agents are not only auxiliary tools, but also entities that can automatically make decisions and perform tasks. Humans will make more decisions, supervise and guide.
The core architecture of the post-Web: How do AI agents work?
Jasper De Maere, head of research at Outlier Ventures, believes that the post-Web needs to add an AI agent layer on top of the existing Web3 technology stack, so that machines can autonomously perform tasks, coordinate resources, and make intelligent decisions.
1. Agent layer: AI as a new interface to improve interaction efficiency
In the future, the Internet will no longer require users to complete tedious operations in person, but AI agents will help handle transactions. For example, if a user wants to invest, AI agents can automatically collect market information, analyze risks, and execute the best trading strategy without the need for users to conduct step-by-step research and manual operations.
2. Trust layer: Smart contracts and DLT provide security
The decision-making and execution of AI agents requires a trustworthy foundation. Smart contracts can automatically execute agreements to ensure that the behavior of AI agents complies with preset rules. Distributed ledger technology (DLT) provides AI agents with verifiable records to ensure transparency and prevent data tampering. This part is particularly important for scenarios such as financial fields such as bank transfers and judicial fields such as contract transactions, which must ensure absolute correct execution.
3. Infrastructure layer: decentralized computing power and data support AI agent operation
AI agents require a lot of computing resources and data support, and traditional centralized cloud computing cannot meet the needs of high efficiency, stability and low cost. The Decentralized Physical Infrastructure Network (DePIN) provides distributed computing power, storage and communication resources, allowing AI agents to operate more flexibly.
This means that the demand for computing resources will increase significantly. Decentralized computing cloud (such as PowerVerse as a decentralized cloud computing platform, which can provide efficient and low-latency computing services for AI, Metaverse, and Web3, reduce the operating costs of AI agents, and improve their availability) will become an especially important DePIN infrastructure.
Decentralized cloud computing has the following advantages:
● Decentralized architecture , not relying on a single server, enhances system stability and security.
● Lower cost . Compared with traditional cloud computing, decentralized computing networks can allocate resources more efficiently.
● An optimized AI computing environment provides computing power specifically adapted for AI agents, making them run more smoothly.
Conclusion
In the post-Web era, decentralized computing power is not only a basic resource, but also the key to promoting the popularization of AI agents. Decentralized cloud computing platforms like PowerVerse will become an important support for the new generation of the Internet, helping to build a more intelligent and efficient network ecosystem.
