importantSYS.SOURCE: Cartesia Research• 2026-10-28T18:07:41Z

Scaling Hierarchical Networks: BPE and H-Net Scaling Laws

#ai #language models #scaling laws #h-nets #end-to-end

This article introduces hierarchical networks (H-Nets) as an end-to-end architecture that replaces traditional tokenization with dynamic chunking, achieving significant compute efficiency gains (3-5x) over tokenized Transformers. H-Nets demonstrate potential beyond language modeling, with applications in biology and vision, aligning with the 'bitter lesson' of scaling AI through data-driven learning.

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