AI 越能干，你越该学会放手
AI 越能干，你越该学会放手——但放给谁、放到哪一步，是新的难题。这篇提出「Avatar Intelligence」:让 AI 成为长期代表你的个人代理，记住你的目标、价值观和约束，跨任务、跨时间替你决策，而不是每次从头交代。他们画了一条成熟度路线：从你指挥它执行，到你只负责关键决定、其余交给它。还给了个衡量标准：它替你省了多少事，对比你还要盯多少。核心难点是三个：它怎么在不同任务间保持「同一个你」、怎么通过「排练」在真实使用中进化、以及出错了谁来负责。这不是你明天能装上的功能，但它把「AI 替你干活」从工具升级成了「AI 替你做人」的路线图。
📄 原文摘要(英文)
Personal AI agents are increasingly capable of handling long-horizon tasks across applications, yet users often need to invest substantial effort in specifying goals, resolving ambiguity, and verifying outcomes. We argue that progress should be measured by how effectively agents amplify human agency: enabling people to pursue their goals with less routine supervision while retaining control over consequential decisions. We advocate Avatar Intelligence, a paradigm of persistent personal agents that represent users' goals, values, and constraints through sustained decision delegation across contexts and time. We describe a maturity roadmap from human-directed execution to autonomous operation within delegated domains, and introduce the Agentic Oversight Index (AOI) as a framework for evaluating delivered value against agent-side operational cost and human oversight burden. We identify three core research challenges: identity-continuous personalization that carries user preferences across tasks, user-situated evolution through Rehearsal Engineering, and safety mechanisms that combine technical control with accountability and recourse. These directions define a research agenda for reliable decision delegation to personal agents across tasks and over time.