Vitalik: Privacy in encryption is crucial for local AI agents, as it prevents API calls from leaking user behavior.

Gate News reports that on March 8, Vitalik Buterin stated that encrypted privacy is crucial for local AI agents, as it can prevent the leakage of user behavior patterns in API calls, such as sensitive information like search engine query records. Vitalik pointed out that using mixnets can initially hide call behaviors, but service providers often require anti-DoS (Denial of Service) mechanisms, which usually involve payment processes. In this case, encryption privacy technologies can avoid the tracking risks associated with traditional payment methods like credit cards, thereby better protecting user privacy.

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