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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.
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“生是中医人，死是中医魂。”在广东中医药博物馆，首届国医大师邓铁涛的名言令人动容。这位“铁杆中医”的铮铮风骨，激励着一代又一代中医人踔厉奋发。
In short: in my mind, errors are divided into two categories. Expected errors (think “user entered invalid data”), which are part of normal operation, aren’t the developer’s fault, and should be handled. Unexpected errors (think “null pointer exception”) are the developer’s fault, likely indicate a bug, and are allowed to crash.
Where the information ends up.