TLDR:Vitalik Buterin combines Tor, zkAPI and local AI models to improve privacy when using AI agents.Separate Tor circuits and cover traffic help conceal AI activity, but timing attacks remain a concern.AI agents reportedly proved Ethereum’s Fast Confirmation Rule and helped fix a fork choice bug.ETH trades at $2,428.47 as traders watch 2,390-2,410 support and resistance near $2,488.Vitalik Buterin has demonstrated a privacy-focused setup for AI agents using Tor, zero-knowledge payments and local language models. The Ethereum co-founder described the system as increasingly usable, despite latency issues and limitations against certain timing attacks.Separately, AI agents at ethlabs_org reportedly generated formal proofs for Ethereum’s Fast Confirmation Rule within days. The work also identified and fixed a fork choice bug while confirming block safety in 24 seconds.Meanwhile, Ethereum’s native token, ETH, faces continued price pressure. CoinGecko data has seen the token drop 1.08% over 24 hours and 2.43% over seven days. Market analyst Ella identifies $2,390-$2,410 as the key support zone following a failed rebound to $2,488.How Vitalik Buterin’s Private AI Agents Use Tor and zkAPIButerin outlined a privacy-focused wrapper for his AI agent harness, combining Tor routing, zkAPI payments, cover traffic and local prompt rewriting. The setup aims to reduce the information exposed when users interact with AI services.Each conversation receives a separate Tor circuit, helping separate network connections across sessions. Random cover traffic disguises request patterns, while zkAPI aims to prevent payment activity from revealing a user’s identity.Wrapped zkAPI + Tor + extra cover traffic + local LLM prompt rewriting in an open-AI compatible daemon, and made a "paranoid mode" wrapper for my agent harness (pi):Each conversation gets assigned a separate Tor circuit, your requests are masked with random cover traffic, zkAPI… pic.twitter.com/2y236zA0cw— vitalik.eth (@VitalikButerin) October 16, 2026The system also rewrites prompts locally using a language model supplied by the user. Buterin said he was using Qwen3.8-flash-next for this process.The agent runs inside a Bubblewrap sandbox, with MicroVM isolation also under experimentation. Torsocks routes its network activity through Tor, adding another layer of protection.However, Buterin acknowledged that the setup still introduces considerable latency, especially when starting new conversations. He also warned that Tor offers limited protection against active timing attacks involving collusion between an AI provider and a network guard.He suggested that a specialized mixnet could offer stronger protection through constant cover traffic, although this would require more bandwidth. Cheaper zkAPI deposit and withdrawal gas costs are also expected on the Ethereum mainnet.Ethereum AI Agents Prove Block Safety as ETH Tests SupportAt ethlabs_org, AI agents reportedly generated formal proofs for Ethereum’s Fast Confirmation Rule within days. The process also uncovered and corrected a fork choice bug, while confirming block safety in 24 seconds.AI is making Ethereum more ambitious.You might have heard about the challenges that blockchains face in a post-AI world, and while security assumptions will surely be stress-tested in the coming months and years, there is another side to it. I believe AI will let us speedrun… pic.twitter.com/Ljn2mPUyoG— Francesco (@fradamt) October 16, 2026Formal proofs use mathematical reasoning to verify that a system satisfies specific properties. For blockchain infrastructure, this can help developers test protocol rules and identify implementation errors before they cause wider problems.The reported results point to a potential role for AI agents in Ethereum research and protocol verification. However, the supplied information does not establish whether the work has undergone independent review or broader production testing.ETH’s price action presents a separate concern for traders. Ella reported that the token briefly reached $2,488 before retreating toward $2,416, remaining below a lower-high resistance line.The $2,390-$2,410 zone is the immediate level to watch. Holding support could open another attempt at $2,450 and $2,488, while a breakdown could expose $2,350.ETH price on CoinGeckoCoinGecko’s latest figures show ETH trading at $2,428.47, with $10.83 billion in 24-hour trading volume. The key takeaway is that Ethereum’s AI research is advancing, but ETH has yet to establish a convincing price reversal.The post Ethereum News: Vitalik Buterin Tests Private AI Agents as ETH Holds $2,400 appeared first on Blockonomi.