‘A feedback loop with no brake’: how an AI doomsday report shook US markets

· · 来源:answer资讯

The efficiency depends on the query size relative to the data distribution. A small query in a sparse region prunes almost everything. A query that covers the whole space prunes nothing (because every node overlaps), degenerating to a brute-force scan. The quadtree gives you the most benefit when your queries are spatially local, which is exactly the common case for map applications, game physics, and spatial databases.

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Anthropic 今天向外展示的「合作」姿态,听起来温和,甚至有点示好。市场也在一夜之间被安抚了,但没人真正回答那个根本问题:AI 冲击职场的终点,到底是人和 AI 一起干活,还是 AI 干活、人来担责,还是连这最后一道门槛也终将消失?

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