Vitalik shares personal configuration for local LLM, calling for the development of more secure, open-source, localized, and privacy-focused AI tools.

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Golden Finance reports that on April 2, Vitalik Buterin published a post on his personal blog sharing his own setup for a LLM that is autonomous, local, private, and secure. The core of the setup includes an NVIDIA 5090 GPU laptop, the Qwen3.5:35B model, the llama.cpp inference tool, the bubblewrap sandbox isolation, the NixOS system, and a custom agent and local knowledge base—reducing reliance on remote services.
Vitalik said that if applied properly, artificial intelligence can actually create a future with stronger privacy and security guarantees. Locally generated code can replace the need to download large, complex external libraries, enabling more software to be extremely minimal and self-contained. Vitalik also called on more people to devote themselves to building secure, open-source, localized, privacy-focused AI tools, so users can use them with peace of mind and so that control and power are placed in users’ hands.

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