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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.

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OpenAI announced a landmark funding round and strategic alliances on February 27, 2026, aimed at expanding the reach of artificial intelligence across consumers, developers, and enterprises while cementing its leadership in global AI infrastructure. The initiative, framed under the banner “Scaling AI for everyone,” signals a new phase in the commercialization and deployment of frontier […]