Web3 has many cool terms, such as:
• Zero-Knowledge Proof (ZK)
• Federated Learning (FL)
• Privacy Computing (MPC)
But there is only one word considered to be the 'bridge between on-chain AI and real-world computing', and that is:
FHE (Fully Homomorphic Encryption)
It has recently attracted attention from top technology organizations like Zama, OpenAI, and DeepSeek.
This is exactly the core technology direction that Mind Network has exploded.
Today I will explain it in the simplest language:
What exactly does FHE solve, and why has it become the most scarce underlying capability in the era of 'trustworthy AI'?
First tell a story, then explain the principles:
Imagine you hand over your wallet data to an AI robot.
It can tell you 'which coins are suitable for long-term holding'.
It can also help you calculate 'the risks of staking structures'.
The question is:
Don't you hope that:
• AI cannot leak your data
• The judgments it makes are trustworthy
• It executes operations on-chain without being tampered with
• You don't even need to 'decrypt' the data to let it help you compute
This is precisely the killer application scenario of FHE:
Direct calculation in an encrypted state, without the need for decryption.
Data can be kept private while still being computed and used reliably.
In simple terms: you don't mind AI knowing, but you also don't want it to 'remember' you.
ZK vs FHE? It's not about who replaces whom, but about complementing each other to build a reliable AI foundation.
You can understand it as:
• ZK is a privacy verification mechanism (like a judge)
• FHE is a privacy computing mechanism (like an accountant + executor)
ZK ensures that others cannot speak carelessly;
FHE ensures that others do not know what you say, but it can still work.
What unique things has Mind Network done?
• Self-built FHE computing power system + MindChain, providing a native encrypted computing environment
• Launching AgenticWorld, an on-chain Agent factory driven by FHE
• Jointly completed the first AI large model x FHE integration project on the entire network with DeepSeek
• Promoting the HTTPZ protocol to create a 'quantum-resistant on-chain communication standard'
This is not a white paper; this is a real FHE engineering system that is online and in practical use.
Why is FHE considered a 'Turing Award-level weapon' for the Agent world?
The on-chain world you will see in the future will definitely have a large number of Agents:
• Wallet Assistant
• NFT Management AI
• Automated Arbitrage Bot
• Airdrop Detection System
• Emotion Tag Recognition System
But all of this is a source of risk if there is no encryption guarantee.
FHE injects not computing power, but trust into these Agents.
You can use AI, but only FHE allows AI to 'know less, do more, and hide deeper'.
Conclusion: You may not know the formula of FHE, but you must understand its revolutionary scenarios.
The future of Web3 is not just about being more decentralized, but also more reliable + more secure + more intelligent.
FHE is not the future; it is already the present.
Mind Network has brought this future ahead of time.
Interaction in the comments: In which scenario do you most hope to see FHE?
• Wallet Assistant / AI Multi-signature / Privacy DEX / L2 Cross-chain Bridge / Web3 Social?
Come and talk about your ideas.
