It only took 6 days! The snapshot of FHE on March 31 has been credited, and four accounts received a total of 4000 FHE, equivalent to 400 USD! Each account received approximately 100 USD, here are the screenshots for everyone to see:

Don't envy me; I'm just a legend!

For those who received the airdrop, please do not sell. The FHE official website has launched new activities, with an APY of 400%. The key is that the coin price is still rising, making it particularly cost-effective. I recommend continuing to participate; it could be another month's salary.

1️⃣ Link Wallet

Support for BSC/MindChain dual-chain access to the Agent platform. Binance wallet users can click [Discover] → [DApps] and search 'Agent' to enter immediately.

2️⃣ Activation gives gifts
Stake ≥ 100 FHE to activate privacy agents, limited time offer of 10 FHE for free (≈ 10% of principal), bonus period until May 9, 2025, earning passively for two years.

3️⃣ Three tracks launching simultaneously, earnings snowballing, choose any training you like.

  • Medical AI: Staking FHE supports DeepSeek's 'blind computation' of medical imaging, earning data service fees + health tech bonuses;

  • Cross-chain DeFi: Use FHE Bridge encrypted cross-chain to take transaction fees (starting from 0.3% per transaction), compliant with institutional funding bonuses;

  • Self-Agency: AI Agents work in the network, the more tasks, the higher the share.

💡 Key Rules: Lock-up for interest + Flexible redemption
Stake FHE for a 30-day lock-up, daily release of earnings ('Earn interest on deposits'); after maturity, excess can be freely withdrawn (e.g., stake 500 FHE → withdraw 400 FHE after 30 days, keep 100 FHE as a guarantee).

Why can FHE still rise? The importance, applications, and comparison with other technologies of FHE (Fully Homomorphic Encryption) are summarized as follows:

  1. The Importance of FHE:

    • Pain Point Resolution: Traditional encrypted data computation relies on third-party decryption, which is costly and poses privacy leak risks (e.g., sensitive financial data accessed by intermediaries).

    • Technological Breakthrough: FHE allows computation directly on encrypted data without decryption, eliminating trust assumptions, completely avoiding third-party intervention risks, and ensuring data privacy and security.

  2. Applications of FHE in the encryption field:

    • Privacy Smart Contracts: Build on-chain computation logic without exposing plaintext data, suitable for high-sensitivity scenarios such as healthcare and finance.

    • Decentralized Privacy Applications: Provide a privacy protection foundational layer for the blockchain ecosystem, supporting privacy transactions, voting, and other extended functions.

  3. Comparison of FHE vs ZK vs MPC:

    • FHE: Focuses on 'decryption-free computation', ensuring data privacy throughout its lifecycle, but has low computation efficiency and high resource consumption.

    • ZK: Core is 'Zero-Knowledge Proof', verifies the truth of statements, does not directly protect the privacy of the computation process, commonly used for on-chain scaling (e.g., zk-rollups).

    • MPC: Achieves 'Multi-Party Computation', relies on the honest node assumption, vulnerable to attacks and incurs high communication costs, mainly applied in scenarios like private key custody.

Summary: FHE fills the privacy gap in encrypted data computation through technological innovation. Although efficiency is limited, it provides core support for scenarios with strong privacy protection needs, forming a diverse matrix of cryptographic privacy technologies together with ZK and MPC.
#MindNetwork全同态加密FHE重塑AI未来