TechFlow reports that on March 8, Vitalik posted on X stating that encryption-based privacy is essential to prevent leakage of access-pattern information during API calls. Even when using local AI agents, external observers can still glean substantial user behavioral data by analyzing search-engine call logs. He argues that the first-layer solution is to route calls through a mixnet—but this introduces the need for DoS-resistance, which in turn necessitates a pay-per-call mechanism. The default payment methods are often credit cards or privacy-inconsiderate stablecoins; thus, genuine privacy protection ultimately depends on cryptographic techniques.
Vitalik also emphasizes that privacy must be considered from a full-stack perspective, with the local AI agent layer being especially critical. He draws an analogy to anti-aging research: if ten factors harm the body, repairing one extends lifespan by 11%, repairing two by 25%, and repairing three by 42%—similarly, privacy safeguards against data leakage exhibit a superadditive, compounding effect.
