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Source channel @githubtrending · Post #15124 · Sep 6

#rust#blockchain#fhe#privacy FHEVM by Zama lets you create smart contracts on Ethereum-like blockchains that keep all data fully encrypted and private while still running normally. It uses Fully Homomorphic Encryption (FHE) so computations happen on encrypted data without revealing it. This means your transactions, balances, votes, or game moves stay secret but verifiable. You can write these contracts in Solidity like usual, with no need to learn complex cryptography. FHEVM is fast, secure against quantum attacks, and works with existing apps. This helps you build private DeFi, auctions, voting, and more, protecting sensitive info on public blockchains. It makes blockchain apps more secure and private without losing functionality. https://github.com/zama-ai/fhevm

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AI & Law

@ai_and_law · Post #99 · 08/30/2023, 07:04 AM

Zoom Addresses EU Privacy Concerns and Updates Terms of Service Greetings! In response to discussions about potential EU privacy law implications, Zoom issues a statement and revises its Terms of Service. The focus? Ensuring customer data isn't utilized to train AI models. Zoom's statement and Terms affirm that user-generated content, including audio, video, chat, and more, isn't employed for training Zoom's or any third-party AI models. This step aims to dispel any concerns. Zoom initially shared its statement on August 7 and later updated it on August 11, aligned with the revised Terms. The shared stance now unequivocally states, "Zoom does not use any of your customer content to train AI models." Earlier, a Stack Diary article flagged changes to Zoom's March Terms, raising potential concerns about broad data utilization for AI model training. Zoom's quick response aims to address these concerns and reaffirm privacy commitments. #Zoom#PrivacyMatters#TermsOfService#AIModels#DataProtection#PrivacyLaw#TechUpdates