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.
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这相当于让AI学会了“团队作战”，杨植麟表示，“高质量数据的增长速度赶不上算力增长，Agent Swarm可以被视为测试时扩展的一种形式，同时也提供了训练时扩展的方式。”
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