Patronus open-sources GlobeBench: 1,632 tasks testing if LLMs can simulate RL environments
teortaxesTex · x · 2026-11-06
Patronus AI open-sourced GlobeBench, 1,632 tasks testing whether LLMs can simulate RL environments well enough to train agents on. Top model GPT-6 Astra scores 49.6%; none of the other 20 tested models reach 30%. Commenters note it hasn't been benchmaxxed yet, making it a useful gauge of real progress.
More from Research
- Code-switching tutorial for multilingual LLMs at AACL 2026, plus open MBZUAI faculty roles — thamar_solorio · 2026-11-06
- Shenlong Wang tours 'May the Force Be with Your Pixels' talk on physical world models — YuXiang_IRVL · 2026-11-06
- Zero-training: LLM directly writes neural network weights implementing Pong in 8 minutes — Sl33py_4est · 2026-11-06
- Moon Lake previews robotics research: simulation is how to scale the RL era of robots — Aiden_Tech_Ai · 2026-11-06
- LinkedIn ranks posts by on-topic rate and dwell time, ignoring likes entirely — _jaydeepkarale · 2026-11-06
- Why LinkedIn added semantic matching: keyword-only search missed relevant posts — _jaydeepkarale · 2026-11-06