2026年，AI智能体训练正迎来一场静默却颠覆性的‘基建革命’——不是模型参数又涨了千亿，也不是哪家公司发布了新大模型，而是：sandbox（沙盒）本身，正在被重新发明。 你没看错。那个曾被当作‘执行容器’默默扛起Agent强化学习（Agentic RL）千万次交互的底层环境，如今正从‘整套运行时独占’走向‘状态即隔离单元’。这不是优化，是范式重写；不是提速，是把环境成本从‘买楼’降维到‘租工位’ ...

针对这个问题，研究人员提出 COBRA。它沿用了可信规划与不可信执行隔离的思路，但额外要求：在 Agent 接触外部数据之前，不仅要确定可能执行哪些步骤，还要为每条分支规定允许使用的工具、访问的目标以及关键参数范围。

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Veronica Beagle is the managing editor for Education at Forbes Advisor. She completed her master’s in English at the University of Hawai‘i at Mānoa. Before coming to Forbes Advisor she worked on ...