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DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models — interactive visual explainer | Rudrite Research

DeepSeek-AI published DeepSeek-V3.2, an open large language model featuring Sparse Attention that reduces computational complexity from O(L²) to O(Lk). An interactive visual explainer of the paper is available, with exhibits computed from real formulas and verbatim quotes.

read1 min publishedJun 15, 2026

DeepSeek Sparse Attention — a lightning indexer picks the tokens that matter, dropping O(L²) toward O(Lk).

DeepSeek-AI · arXiv 2025 · Model Architectures. Read the paper ↗ A free, interactive, animated visual explainer of DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models — every exhibit computed from the real formulas, with verbatim quotes from the source.

Questions #

  • What is DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models?
  • DeepSeek Sparse Attention — a lightning indexer picks the tokens that matter, dropping O(L²) toward O(Lk).
  • Who published DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models, and where?
  • DeepSeek-AI — arXiv 2025 (arXiv:2512.02556).
  • Where can I find a visual explainer of DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models?
  • Right here — a free, interactive, animated walkthrough of the whole paper, with exhibits computed from the real formulas and verbatim quotes from the source.
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