AI的下一步:智能体

· · 来源:data资讯

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Cursor uses Apple’s Seatbelt (sandbox-exec) on macOS and Landlock plus seccomp on Linux. It generates a dynamic policy at runtime based on the workspace: the agent can read and write the open workspace and /tmp, read the broader filesystem, but cannot write elsewhere or make network requests without explicit approval. This reduced agent interruptions by roughly 40% compared to requiring approval for every command, because the agent runs freely within the fence and only asks when it needs to step outside.

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当前,大模型正快速向具备自主规划能力的「智能体(Agent)」方向演进,AI 需要频繁回顾动辄数万字的上下文,导致系统性能的制约因素已从「算力不足」转变为「数据传输太慢」。

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