Simontran (simontranc)

FHE: The Invisible Shield for AI & Web3 @zama 🔹 What’s the Problem? - AI models need huge amounts of personal data to learn. - Web3 dApps handle sensitive financial & identity info. - Current encryption methods protect before and after computation — but leave a blind spot during processing. 🔹 Enter FHE (Fully Homomorphic Encryption) Think of it as an invisible shield: Data stays encrypted even while apps and AI are working with it. 🔹 Why It’s Revolutionary 🧠 For AI: Train on encrypted medical or financial data without ever exposing raw info. 💸 For Web3: Enable DeFi protocols to analyze user portfolios while protecting identities. 🏛 For Compliance: Aligns with GDPR, HIPAA, and other privacy-first regulations. Full version: https://x.com/SimonTranC/status/1971501642605555882

• 0 replies
• 0 recasts
• 0 reactions

Active again with @zama . Here are Day 10: Building the Trustless Future 1/ What if tomorrow’s world ran on data… but no one could ever steal or abuse it? 🔒 That’s the future Zama is designing— a society where privacy isn’t an afterthought, it’s the foundation. 2/ With Fully Homomorphic Encryption (FHE), Zama enables: - AI that learns without spying - Finance that transacts without exposing - Apps that collaborate without leaking - It’s not utopia—it’s cryptography. 3/ We often say “trust is fragile.” But what if we didn’t need trust at all? What if the system itself guaranteed fairness? That’s the promise of Zama’s FHE rails. ⚡ Full version here: https://x.com/SimonTranC/status/1970288950117081224

• 0 replies
• 0 recasts
• 1 reaction

Day 4 with Zama Privacy isn’t a “nice-to-have” in Web3. It’s the missing piece. With Fully Homomorphic Encryption (FHE), we can finally use data without exposing it. Here are 3 game-changing use cases Zama is unlocking 👇 @zama #ZamaCreatorProgram 1️⃣ Private DeFi Transactions DeFi is powerful, but every wallet, balance, and trade is public. With FHE: Trade confidentially. Protect strategies. Enable institutional adoption without leaking alpha. 2️⃣ Confidential On-Chain AI AI models need huge amounts of data — often private data. With FHE: Train AI without exposing sensitive inputs. Keep medical, financial, or personal data secure. Make on-chain AI trustworthy. 3️⃣ Secure Identity & Healthcare From identity verification to health records, today’s systems risk exposure. With FHE: Verify identity without leaking personal details. Store medical data that’s usable but always encrypted. See full version here: https://x.com/SimonTranC/status/1965306007913164806

• 0 replies
• 0 recasts
• 1 reaction

GM

• 0 replies
• 0 recasts
• 3 reactions

check

• 1 reply
• 0 recasts
• 2 reactions

gm

• 0 replies
• 0 recasts
• 2 reactions