🎙️Inside a Chinese AI Lab: How MiniMax Builds Open Models

kept by eddie feb 02

MiniMax researcher Olive Song reveals how they debug RL training, handle model hacking, and prioritize alignment and engineering discipline in open-weight model development.

Ryan Greenblatt – What happens once AI can automate AI research?
The discussion explores whether automating AI R&D could trigger recursive self-improvement, potentially yielding years of progress in months, with debate on verifiability, data bottlenecks, and alignment risks.
also on #alignment
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.
also on SGLang, vLLM, #open-source, #ai-coding
Why Open-Source Models Haven't Killed the Big Dogs
Open-source models remain costlier to serve reliably due to infrastructure, utilization, and operational overhead, making hosted APIs from OpenAI and Anthropic more economical despite free model weights.
also on SGLang, vLLM, #ai-coding
Anthropic Accuses 3 Chinese Companies of Harvesting Its Data - The New York Times
Anthropic publicly accused three Chinese AI startups of using around 24,000 fake accounts to scrape data for training rival chatbots.
also on MiniMax, #china
GitHub - MiniMax-AI/skills
MiniMax-AI released a repository of structured development skills for AI coding agents, covering frontend, fullstack, mobile, shader, and document generation.
also on MiniMax, #open-source, #ai-coding