木匠Labs
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Bullish
Hello brothers, I am a carpenter. I heard that $FHE is trending? By the way, let's chat about @Mind Network that I have been following recently.
I have been researching Web3 privacy lately and stumbled upon a project – Mind Network, which I think is quite good.
It’s not one of those projects that just makes empty promises; it has directly implemented fully homomorphic encryption (FHE) + "HTTPZ", a quantum-level security protocol, which addresses the entire set of on-chain privacy, security, and compliance.
Then, they introduced a new feature – RWA on-chain encrypted messaging protocol.
As soon as this feature was released, I felt it genuinely tackled a pain point:
Documents, contracts, invoices, and other non-public items can be directly encrypted on-chain and packaged into NFTs, allowing only authorized persons to decrypt and view them. It's somewhat like traditional finance’s SWIFT messages, but it’s on-chain and immutable.
Additionally, it can be used in scenarios like cross-border payments, derivative settlements, supply chain, and tax audits.
It doesn’t just mix Web3; it also bridges the Web2 terminal.
Byte ecosystem cooperation: signed an MOU with Byteplus, enabling direct access to Lark's 40 million users and providing privacy services on Byte’s Coze AI Agent platform, allowing Web2 AI to benefit from the security of $FHE .
Moreover, the trusted AI from Alibaba Cloud is directly deployed in the cloud, ensuring that enterprise-level AI applications can operate in compliance, and these are all directly usable implementations.
Finally, let me talk about AI, which is also very interesting.
They developed an MCP (Model Context Protocol), which simply means:
Even if the data is not decrypted, it can verify whether the AI's output has been tampered with, creating a "credit profile" for AI agents, so it no longer relies solely on subjective ratings. When multiple agents collaborate, you can know which ones are reliable and which ones might be misleading. You can imagine that in the future, AI will not only help you come up with ideas but can also guarantee that "it won’t deceive you."
Personally, I feel that this project's narrative and implementation are both strong. Once it gains traction, the attention on $FHE will be very high.
If you are optimistic about privacy computing, RWA, or AI in this direction, you can take a look first.
I have been researching Web3 privacy lately and stumbled upon a project – Mind Network, which I think is quite good.
It’s not one of those projects that just makes empty promises; it has directly implemented fully homomorphic encryption (FHE) + "HTTPZ", a quantum-level security protocol, which addresses the entire set of on-chain privacy, security, and compliance.
Then, they introduced a new feature – RWA on-chain encrypted messaging protocol.
As soon as this feature was released, I felt it genuinely tackled a pain point:
Documents, contracts, invoices, and other non-public items can be directly encrypted on-chain and packaged into NFTs, allowing only authorized persons to decrypt and view them. It's somewhat like traditional finance’s SWIFT messages, but it’s on-chain and immutable.
Additionally, it can be used in scenarios like cross-border payments, derivative settlements, supply chain, and tax audits.
It doesn’t just mix Web3; it also bridges the Web2 terminal.
Byte ecosystem cooperation: signed an MOU with Byteplus, enabling direct access to Lark's 40 million users and providing privacy services on Byte’s Coze AI Agent platform, allowing Web2 AI to benefit from the security of $FHE .
Moreover, the trusted AI from Alibaba Cloud is directly deployed in the cloud, ensuring that enterprise-level AI applications can operate in compliance, and these are all directly usable implementations.
Finally, let me talk about AI, which is also very interesting.
They developed an MCP (Model Context Protocol), which simply means:
Even if the data is not decrypted, it can verify whether the AI's output has been tampered with, creating a "credit profile" for AI agents, so it no longer relies solely on subjective ratings. When multiple agents collaborate, you can know which ones are reliable and which ones might be misleading. You can imagine that in the future, AI will not only help you come up with ideas but can also guarantee that "it won’t deceive you."
Personally, I feel that this project's narrative and implementation are both strong. Once it gains traction, the attention on $FHE will be very high.
If you are optimistic about privacy computing, RWA, or AI in this direction, you can take a look first.
Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.
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