Recently, discussions about AI agents have expanded from the framework level to the execution environment domain. 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, which is more aligned with the current core needs of AI.
On the other hand, the BICO project is dedicated to building Modular Execution Environments (MEE), offering features such as intent recognition, cross-chain operations, and one-click execution, emphasizing the convenience and flexibility of cross-chain interactions.
After in-depth research, I found that PHA has deeply penetrated the core circles of the AI field, with its partners covering a complete ecosystem from underlying data and computing power to AI frameworks.
This comprehensive and powerful industrial layout makes me more optimistic about the future development potential of PHA.
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