In the development of artificial intelligence, two important projects are gaining attention. One focuses on providing real-world data for AI agents, while the other is dedicated to building an AI-driven Data Layer network. Although these two projects have different emphases, they are both moving towards the same goal - promoting the future development of decentralized, agent-driven intelligent systems.

This cooperation signifies the deep integration of AI technology with decentralized technologies such as blockchain. By combining real-world data and a powerful Data Layer network, we can expect to see the emergence of more intelligent, autonomous, and reliable AI systems. This will not only enhance AI's decision-making capabilities and adaptability but is also expected to bring breakthroughs in protecting user privacy and data security.

With the continuous development and improvement of these technologies, we may witness the rise of an ecosystem composed of distributed intelligent agents. This ecosystem will be able to learn autonomously, collaborate with one another, and make informed decisions based on real-world data. This prospect is not only exciting but also provides us with a new perspective to think about the future applications and potential impacts of AI.

Although the road may be filled with challenges, this integration undoubtedly represents an important development direction for AI and Decentralization technologies. It may reshape the way we interact with technology and provide new tools and methods for addressing complex global issues.