In the past, our discussions on AI were more focused on computing power, models, and inference efficiency; now the trend is quietly shifting towards: AI personalization, AI collaboration, AI on-chain, and most importantly: AI security (privacy, verification, resistance to attacks).

The value of Mind Network is not to recreate a cryptographic computing platform, but to become the operating system for Agentic AI — using FHE to make agents trustworthy, compliant, and controllable.

Fully Homomorphic Encryption is essentially a permission system at the data layer. Traditional privacy technologies aim to "prevent others from seeing," while FHE allows "others to not see but still use."

What Mind Network is doing is:

Building a chain (MindChain) that can natively understand "encrypted data";

Providing a task center (Hub & Orchestration) that can schedule AI agents;

Creating a secure communication protocol (HTTPZ) similar to TCP/IP;

Accompanied by a token system ($FHE) that serves both as a key and fuel.

This design is not about showcasing technology, but rather a reconstruction of decentralized AI operational logic — data is never decrypted, and AI can still complete tasks.

We can understand Mind Network's positioning like this:

Just as Arbitrum solves the scalability issue, Mind solves the privacy issue;

Just as Filecoin stores data, Mind computes data;

Just as EigenLayer reuses trust, Mind reconstructs data trust.

It does not compete with existing AI infrastructure, but rather addresses the issues they dare not touch or cannot resolve:

How to enable AI to operate securely in an open network.

Mind Network is the trust gateway for Agentic AI to enter the Web3 world. Positioning Mind in advance is like buying tickets in advance for the fusion of Filecoin, Arbitrum, and ZKSync.