DeepSeek-OCR与Glyph: 视觉压缩会重塑LLM的输入范式？
DeepSeek-OCR与Glyph不约而同地证明，将文本渲染为图像输入模型，能在保持高精度的同时实现3-10倍的压缩效率提升，从根本上解决了长上下文处理的算力瓶颈。这种“视觉-文本压缩”范式不仅让模型天然支持富文本格式，还避免了传统分词器的历史包袱和安全风险…
English triage
Chinese technical note: DeepSeek-OCR与Glyph: 视觉压缩会重塑LLM的输入范式？
vibe memo published a Zhihu article relevant to frontier and open model development. The original Chinese excerpt is included below so the feed can preserve the raw source while giving English readers enough context to triage the item.