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Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.
为了挽救叙事危机，黄仁勋试图用“Agent经济学”重构市场预期——未来每个企业都将部署数百万个AI Agent，每个Agent每秒都在持续生成海量Token，进而驱动算力需求再上一个数量级，以此对冲算法优化带来的算力效率提升，延续英伟达的增长神话。