Finding these optimization opportunities can itself be a significant undertaking. It requires end-to-end understanding of the spec to identify which behaviors are observable and which can safely be elided. Even then, whether a given optimization is actually spec-compliant is often unclear. Implementers must make judgment calls about which semantics they can relax without breaking compatibility. This puts enormous pressure on runtime teams to become spec experts just to achieve acceptable performance.
近期，投资研究机构 Citrini Research 发布题为《2028 年全球智能危机》的推演报告，预测 AI Agent（智能体）的大规模普及将引发白领失业潮并导致全球经济结构性崩盘。
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