The build-out to make AI adoption widespread will likely come with significant upfront costs. For countries that already deal with constrained public finances, AI’s capital costs could end up “sharpening the policy tradeoff between assuming higher near-term fiscal risk and delaying participation in AI-driven growth opportunities,” the analysts wrote.
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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