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Peter
@peter127
Let’s look at what FHE makes possible in Web3: 🔐 Private DAO voting – Cast votes on-chain without revealing your identity or vote. Results can be tallied transparently, without compromising privacy. 💸 Confidential DeFi – Swap, lend, or stake tokens while keeping your balances and actions encrypted. Protect your trading strategies from MEV bots and snoopers. 🎮 Hidden on-chain game logic – Imagine chess, poker, or any strategy game where moves are hidden until revealed. FHE makes truly fair blockchain gaming possible. 🧠 Private on-chain AI – Run machine learning models without exposing training data or personal inputs. Enables privacy-preserving recommendation engines, health apps, etc. These aren’t dreams — they’re real use cases enabled by Zama’s FHE stack. #FHE #Privacy #Web3 #ZamaCreatorProgram
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Peter
@peter127
Zama isn’t just researching FHE — they’re building tools that developers can use today: 🛠️ tfhe-rs – A high-performance Rust library for FHE, optimized for speed and security. 🧱 Concrete – A modular framework that abstracts away cryptographic complexity and lets you focus on application logic. Both are open-source and actively maintained. You don’t need a PhD in cryptography to build powerful privacy-preserving dApps — just basic Rust skills and curiosity. Zama is creating the building blocks for a more private Web3 future. If you care about data sovereignty, user control, and security, FHE is the missing layer. 👉 Follow @zama_fhe, explore their GitHub, and start building with FHE today. #ZamaCreatorProgram #Rust #CryptoPrivacy #Web3Builders
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