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.

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 . DeepSeek-AI · arXiv 2025 · Model Architectures. Read the paper ↗ https://arxiv.org/abs/2512.02556 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.