listening to the discussion with Guy Zyskind (CEO @fhenix) on the convergence of AI, quantum computing, and privacy key takeaway: privacy infrastructure must transition from theoretical research into operational onchain applications. public blockchains inherently expose all transaction data, which creates significant vulnerabilities as AI data-scraping capabilities advance privacy is not an optional feature for anonymity; it is a structural requirement to protect proprietary data and complex business logic. @fhenix addresses this by building infrastructure for encrypted computation via Fully Homomorphic Encryption (FHE) their CoFHE coprocessor enables developers to integrate confidential logic into any EVM chain using a single line of Solidity, processing sensitive data without ever decrypting it.