RSI Arena: AI Agents Autonomously Fine-Tune Models with Measurable Gains

RSI Arena, a joint project by Bake AI, Hugging Face, NVIDIA, Scale AI and universities including Stanford and MIT, let 10 AI agents autonomously fine-tune models for six days; eight improved with human feedback, and the best closed 76% of the gap. The paper is on arXiv (2610.33624).

2026-11-06 ~ 2026-11-06 · 2 related posts

• RSI Arena: 10 AI agents self-train models; human feedback lifts 8 of 10 — my_cat_can_code · 2026-11-06
• RSI Arena paper: agents post-train models autonomously, best closes 76% gap — my_cat_can_code · 2026-11-06