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.
As of publication, the letter has over 450 signatures, almost 400 of which come from Google employees and the rest from OpenAI. Currently, roughly 50 percent of all participants have chosen to attach their names to the cause, with the rest remaining anonymous. All are verified as current employees of these companies. The original organizers of the letter aren’t Google or OpenAI employees; they say are unaffiliated with any AI company, political party or advocacy group.
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Анна Габай (Редактор отдела «Силовые структуры»)