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Aaron Levie 认为“计算机使用”和即时代码编写是 AI Agent 自动化知识工作的核心原语,但也面临安全和身份识别等挑战

来源作者:Aaron Levie (@levie)原始来源:https://x.com/levie/status/2036290915950797314

中文导读

Aaron Levie 认为“计算机使用”和“即时代码编写”是 AI Agent 自动化知识工作的核心原语,将彻底改变企业工作流。

正文 Markdown

Computer use and the ability to write and run code on the fly are the ultimate primitives for agents to be able to take on more and more tasks in knowledge work. Most work requires hopping between multiple applications, and working with broad sets of data, in a workflow, and agents will need to be able to traverse these systems to be able to effectively automate any real work in the enterprise. Now we will have agents that are the equivalent of having an expert programmer (or any number of them) that can write code or use any API to automate whatever work you’re doing. Agents will have access to either a user’s computer and resources, or their own sandbox to operate in, and be able to pull together the tools necessary to perform the task at hand. This opens up the broadest set of agentic use-cases. To be sure, there are going to be various hurdles around security, permissions and access controls, identity challenges, and more. For instance, should the agent always act on behalf of the user, or should they have their own identity and limited set of access rights? How do you triage security events when historically volume of activity on a system is no longer a reliable signal of a security issue? How do you ensure the agent isn’t going rogue or getting prompt injected to do something risky? All problems that need to get figured out. Then, there’s also lots of work needed to ensure software is setup to enable to agents to operate with their tools in a headless fashion. This will be an uncomfortable reality for some incumbents, and equally a welcome one for tools that historically have operated seamlessly via APIs, and have business models to support this. Lots of change coming in the world of work agents, and it’s going to get pretty wild.