Autonomous Loop Trains 30B Nemotron Without Human Intervention
The authors built an end‑to‑end system that runs the entire post‑training loop—data selection, recipe tweaks, launch, evaluation—without any human in the loop, scaling it to a 30 B‑parameter Nemotron. The autonomous model hits a 0.86 score on the NVIDIA Nemotron‑Reasoning Challenge, just 0.01 shy of the top human entry, proving large‑scale self‑improvement is feasible.