Vitalik Buterin Tries AI that Keeps Personal Data Private
7 Articles
7 Articles
Vitalik Buterin tries AI that keeps personal data private
Vitalik Buterin is testing a private AI setup using Qwen, zkAPI and Tor to get personalized health advice while limiting data sent remotely.
Vitalik Buterin Tests AI Privacy Through zkAPI and Tor Routing
TLDR: Vitalik Buterin tested personalized diet and exercise recommendations through local AI orchestration, drawing on more capable remote models. The experiment combined carefully written prompts, zkAPI payments, and Tor routing to address content, billing, and network exposure. Buterin reported better recommendations while identifying four limitations, including slow responses and weak separation between requests. His Ethereum [...]
🚨 Vitalik Buterin announced that he conducted an experiment generating AI suggestions without revealing personal data. 🧠 In the experiment, a local model managed the process, while powerful, remote models provided support with limited data. 🔒 Buterin emphasized that in this test, independent of the $ETH ecosystem, model assistance decreased as privacy increased. ⚙️ During the same period, Buterin stated that Ethereum would evolve into a more …
According to ChainCatcher, Vitalik.eth disclosed in a Farcaster post that he is conducting a personal experiment that combines a local model with a remote, cutting-edge model to generate personalized diet and exercise recommendations using personal health and travel data while protecting privacy. The system employs a three-layer privacy protection architecture: the identity layer uses a local model (Qwen 3.8B) to construct query requests on beha…
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