AMA on X

Written by: Davide

Original author: Advait (Leo) Jayant Compilation: LlamaC "Recommended message: Fully Homomorphic Encryption (FHE) is often hailed as the holy grail of cryptography. This article explores the prospects of FHE in the field of artificial intelligence, pointing out the current limitations. It also lists some projects dedicated to using fully homomorphic encryption (FHE) in the field of encryption for AI applications. For Crypto enthusiasts, this article provides an in-depth understanding of Fully Homomorphic Encryption. Enjoy!" Main text👇 A wants highly personalized recommendations on Netflix and Amazon. B doesn't want Netflix or Amazon to know their preferences. In today's digital age, we enjoy Amazon and Netflix.

AI + web3, worth looking forward to?

 Editor's note: Fully Homomorphic Encryption (FHE) is a technology that processes data without decrypting it. This means that companies can provide services without viewing user data, and users will not notice any difference in functionality. Since data is encrypted during transmission and processing, network behavior can be encrypted end-to-end. In other words, FHE allows zero trust to be better implemented and can be shared on untrusted domains, and the person performing the calculation cannot read the data.

During the 2024 Hong Kong Web3 Carnival, Ethereum co-founder Vitalik Buterin delivered a keynote speech entitled "Reaching the Limits of Protocol Design" at the "Web3 Scholar Summit 2024" hosted by DRK Lab. He introduced that in the 2010s, the protocols based on basic cryptography were hashing and signatures. Subsequently, the protocols developed rapidly. In the 2020s, the protocols based on advanced cryptography include ZK-SNARKS, 2PC, MPC, FHE (fully homomorphic encryption), aggregation (including through IVC, ICD, etc.), and advanced P2P networks. Vitalik