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For reinforcement learning training pipelines where AI-generated code is evaluated in sandboxes across potentially untrusted workers, the threat model is both the code and the worker. You need isolation in both directions, which pushes toward microVMs or gVisor with defense-in-depth layering.

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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