{"slug": "from-lightning-to-sparse-how-minimax-m3-reads-a-million-tokens-without-reading", "title": "From Lightning to Sparse: How MiniMax M3 Reads a Million Tokens Without Reading Them All", "summary": "MiniMax introduces M3, a sparse attention mechanism that efficiently processes up to a million tokens by selectively reading only relevant parts of the input, overcoming production failures of prior efficient attention methods.", "body_md": "A concept-first tour of MiniMax Sparse Attention — why “efficient attention” kept failing in production, and the surprisingly simple idea…\nContinue reading on Towards AI »", "url": "https://wpnews.pro/news/from-lightning-to-sparse-how-minimax-m3-reads-a-million-tokens-without-reading", "canonical_source": "https://pub.towardsai.net/from-lightning-to-sparse-how-minimax-m3-reads-a-million-tokens-without-reading-them-all-9c702203326d?source=rss----98111c9905da---4", "published_at": "2026-06-21 05:50:05+00:00", "updated_at": "2026-06-21 06:12:05.501990+00:00", "lang": "en", "topics": ["large-language-models", "ai-research", "ai-products"], "entities": ["MiniMax", "M3"], "alternates": {"html": "https://wpnews.pro/news/from-lightning-to-sparse-how-minimax-m3-reads-a-million-tokens-without-reading", "markdown": "https://wpnews.pro/news/from-lightning-to-sparse-how-minimax-m3-reads-a-million-tokens-without-reading.md", "text": "https://wpnews.pro/news/from-lightning-to-sparse-how-minimax-m3-reads-a-million-tokens-without-reading.txt", "jsonld": "https://wpnews.pro/news/from-lightning-to-sparse-how-minimax-m3-reads-a-million-tokens-without-reading.jsonld"}}