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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.

Knowing when to turn around

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"He'd been signing cartoon Seuss for a while - he had done it even when he was at Dartmouth working for the humour magazine there," Jones explains.

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Over the past year or two, I’ve seen many organizations, large and small, implement passkeys (which is great, thank you!) and use the PRF (Pseudo-Random Function) extension to derive keys to protect user data, typically to support end-to-end encryption (including backups).

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