Медведев вышел в финал турнира в Дубае17:59
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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"We are attachment-based creatures," he says. "We desire that bond." But in his lectures, he tells students they need to leave the idea of a soulmate, without giving up their desire for The One.
Measured on Apple M3 16GB with simulated audio input (Tensor::randn). Times are per-encoder-forward-pass (Sortformer: full forward pass).