Research paper
Medium
@HuggingPapers
Importance score: 4 • Posted: March 29, 2026 at 12:14
Score
4
MSA breaks the 100M token barrier Memory Sparse Attention achieves unprecedented 100M token context lengths with near-linear complexity. The architecture maintains 94% accuracy at 1M tokens while outperforming RAG systems and frontier models, using end-to-end sparse attention with document-wise RoPE.
Media
Photo
Grok reasoning
Highlights breakthrough in long-context attention outperforming RAG, relevant to foundation models.
Likes
248
Reposts
35
Views
13,060
Tweet ID: 2038228417737277497
Prompt source: ai-news
Fetched at: March 30, 2026 at 06:02