以太坊共同創辦人 Vitalik Buterin 呼籲建立密碼學隱私機制，以 ZK 技術保護 AI 代理程式時代的 API 訪問安全與隱私支付。
（前情提要：Vitalik 脫口「以太坊一年大躍進計畫」：L1 擴容後吞吐量會漲 10 倍 ）
（背景補充：以太坊基金會重組研發團隊為「Protocol」，聚焦擴展 L1 和 Blobs、提升用戶 UX 體驗 ）
當你讓 AI 幫你安排行程、查詢醫療方案或管理資產時，你有沒有想過你的「行動模式與思維」正透過 API 調用源源不絕地洩露給服務商？以太坊共同創辦人 Vitalik Buterin 今（8）日在 X 發聲警告：如果沒有密碼學隱私與匿名支付機制的介入，AI 將成為人類隱私的終結者。
Vitalik 指出，即使 AI 在本地運行，只要它需要調用外部服務（API），用戶的「搜索路徑」就一覽無遺。傳統使用 Access-Key 或 Token 的 HTTP API 調用模式，會讓服務商輕易推斷用戶意圖。
他強調，行為數據的推斷力比原始數據更強，服務供應商能從 API 訪問模式判斷用戶的健康、財務與政治傾向。
Crypto privacy is needed if you want to make API calls without compromising the information of your access patterns.
eg. even with a local AI agent, you can learn a lot about what someone is doing if you see all of their search engine calls
first-order solution to that is to…
— vitalik.eth (@VitalikButerin) March 8, 2026
ZK 技術與混淆網絡：區塊鏈的隱私解方
為了解決上述問題，Vitalik 提出了多層次的技術方案。首先是「混淆網絡（Mixnets）」，透過網絡層級的跳轉，讓服務商無法得知請求是誰發出的，藉此隱藏請求來源。
其次是「ZK API 支付」，利用零知識證明（ZK）實現在不暴露身分的情況下完成支付，同時透過加密聲譽機制防止惡意濫用行為，例如 DoS 攻擊。
相較於傳統模式依賴 Azure 或 OpenAI 等中心化驗證，加密模式則主張本地運行 LLM，搭配 TEE（可信執行環境）與 ERC-8004 標準的鏈上身分，讓模型在用戶端運行並生成加密證明，確保運算過程不外洩。
以太坊：AI 時代的隱私基礎設施
Vitalik 的願景中，以太坊的角色已超越單純的金融資產，正轉化為 AI 時代所需的隱私基礎設施。當 AI 成為人類能力的擴展，區塊鏈技術則有望確保這股力量不被中心化機構濫用的關鍵工具。
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