Amidst the fervor and capital focus on centralized trends, DeAI (Decentralized AI Training and Inference Architecture) is emerging as another path to the future, directly addressing two major hidden dangers in today's AI development: blind trust mechanisms and scalability fragility.

The era of Web3 applications is not coming soon, it has already begun.

What exactly is this physical AI that tech giants are betting on? And what is DePAI, which combines blockchain with it? How will DePAI solve the deep-seated problems facing physical AI?

This report doesn't attempt to answer the question of "whether the Web3 market will continue to grow," but rather a deeper one: after the infrastructure era ends, where will the value of Web3 be redefined? In a larger, more complex, and more realistic system, how will the boundaries of Web3 be reshaped?

This article will combine the most cutting-edge regulatory framework at present to conduct a comprehensive and in-depth analysis. It will also focus on the progress of future key directions such as standardized assets, physical asset RWA, and infrastructure service providers in the field of technical regulatory collaboration.

Dr. Qi Baowen, a member of the board of directors of DeSci Sino, shared with us the development history, technological breakthroughs and future vision of DeSci Sino. From scientific research funding and data sharing to community governance and international cooperation, how does DeSci Sino deal with the pain points of the traditional scientific system? And how does it inject the innovative vitality of decentralized science into the Chinese community?