Tag
KaichouYou discusses challenges in scaling concurrent rollouts for RL training infrastructure, highlighting a stress test of sandbox scaling on Qwen3 235B with SemiAnalysis, including a writeup of errors and fixes.
Discusses how sandbox startup latency and scaling in RL training infrastructure can significantly impact training performance, referencing a detailed analysis by SemiAnalysis on matching trainer and generator throughput.
The article argues that entry-level work serves as training infrastructure for developing judgment and skills, and that AI adoption must account for this apprenticeship function to avoid weakening the path to senior expertise.
The tweet discusses Microsoft AI's use of Ray actors for training the MAI-Thinking-1 model, enabling finer granularity for heterogeneous compute and better CPU resource utilization in GPU clusters.