Recently, discussions about AI agents have expanded from the framework level to the execution environment field. On the BN platform, there are two noteworthy projects: PHA and BICO.

The PHA project focuses on Trusted Execution Environments (TEE), with its core advantage being the ability to accurately distinguish whether the task executor is an AI or a human, thereby excelling in data privacy protection and trusted computing, making it more aligned with the current core needs of AI.

On the other hand, the BICO project is dedicated to building Modular Execution Environments (MEE), providing functions such as intent recognition, cross-chain operations, and one-click execution, emphasizing the convenience and flexibility of cross-chain functionality.

After in-depth research, I found that PHA has deeply penetrated the core circle of the AI field, with its partners covering a complete ecological chain from underlying data, computing power to AI frameworks.

This comprehensive and powerful industrial layout makes me more optimistic about PHA's future development potential.

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