"Buterin described the system as self-sovereign / local / private / secure and said it was built in direct response to what he sees as serious security and privacy failures spreading through the AI agent space."
"He pointed to research showing roughly 15% of agent skills, or plug-in tools, contain malicious instructions. Security firm Hiddenlayer demonstrated that parsing a single malicious web page could fully compromise an Openclaw instance."
"I come from a mindset of being deeply scared that just as we were finally making a step forward in privacy with the mainstreaming of end-to-end encryption and more and more local-first software, we are on the verge of taking ten steps backward."
"His hardware of choice is a laptop running an Nvidia 5090 GPU with 24 GB of video memory. Running the open-weights Qwen3.5:35B model from Alibaba through llama-server, the setup reaches 90 tokens per second."
Vitalik Buterin has completely moved away from cloud AI services, opting for a local, sandboxed AI system. He runs the Qwen3.5:35B model on an Nvidia 5090 laptop, achieving 90 tokens per second. Buterin highlights that approximately 15% of AI agent skills contain malicious instructions, referencing research from Hiddenlayer. His system enforces a human-plus-LLM 2-of-2 confirmation rule for outbound communications, emphasizing the need for enhanced security and privacy in AI applications.
Read at news.bitcoin.com
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