Reading up on SGLang
4 deep · digging since dec 01, 25
- Inside Thinking Machines’ Interaction Models
Thinking Machines argues current turn-based AI voice systems have a scalability ceiling and proposes interaction models using time-aligned micro-turns and a two-model architecture for true real-time collaboration.
- GitHub - baidu/Unlimited-OCR: Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
Baidu releases Unlimited-OCR, a VLM-based OCR that processes entire documents in a single pass using reference sliding window attention to avoid memory overflow.
- 🎙️Inside a Chinese AI Lab: How MiniMax Builds Open Models
MiniMax researcher Olive Song reveals how they debug RL training, handle model hacking, and prioritize alignment and engineering discipline in open-weight model development.
- How prompt caching works - Paged Attention and Automatic Prefix Caching plus practical tips
The article explains how prompt caching works through vLLM's paged attention and automatic prefix caching, detailing KV-cache reuse and practical tips for improving cache hits.