首先，智能体应具备强大的目标理解和规划能力来体现智能的自主性。理想状态下，人类只需给出抽象目标，智能体便能理解目标、拆解任务、规划行动，并在尽量少的人工干预下完成执行闭环。就像影《星际穿越》中的机器TARS，在紧急情况下能够根据"拯救宇航员"这一目标，自主判断局势、制定和调整行动策略，甚至做出牺牲自己数据的决定来完成使命。这要求机器智能有深度“理解/思考”能力（推理、规划、决策），能够敏锐地决策，能够基于执行结果与环境反馈动态调整任务规划，而不是僵化地执行既定路径。
新时代以来，习近平总书记多次阐释“说”与“做”、“知”与“行”的辩证关系，树立起“业绩都是干出来的，真干才能真出业绩、出真业绩”的鲜明导向。，更多细节参见搜狗输入法2026
，推荐阅读夫子获取更多信息
The trade-offs are mostly on the practical side. Building out meaningful, role-specific assessments requires more upfront effort than just turning on a resume screener. Implementation costs run higher too, especially when you're customizing tests across multiple roles. And there's always the lingering question of whether a timed, high-pressure testing environment actually reflects how someone will perform in the real job — plenty of excellent employees just don't test well under that kind of pressure.，推荐阅读体育直播获取更多信息
Let’s try 3-by-3 now: