RSIArena stage 1: GPT-6 Astra tops blind-vote leaderboard
Ten AI researcher models each trained the same Nemotron base with 1,000 GPU-hours; GPT-6 Astra finished first in 1,685 blind votes, with the Grok 4.7 and GLM-5.3 trained models in the top three, and stage 2 has begun.
Grok 4.7 ran out of API credit and was cut off 41 hours early. Nearly 70% of its GPU budget was still unused. And somehow, the model it trained still made the top two!! @spacexai Stage 1 of RSIArena is over. Thank you, our collaborators @huggingface @scale_AI @NotreDame @UW and @Stanford, we did awesome! 🧡 Stage 2 training is now LIVE—and this time, the models have human feedback to work with. Round 1 was a six-day competition: 10 models (AI researchers), the same @NVIDIAAI Nemotron base model, and 1,000 GPU-hours each to build something better. They chose their data, wrote training code, ran experiments, and submitted their models. At @COLM_conf and online, people then cast 1,685 votes in blind comparisons. @OpenAI GPT-6 Astra model finished first; the models trained by grok 4.7 and @Zai_org GLM-5.3 rounded out the top three. Now those judgments go back into the experiment. In Stage 2, each model resumes from its own Nemotron checkpoint with feedback from its model’s arena battles, another 500 GPU-hours, and $150 in API credit. Across both rounds, that’s a total budget of 1,500 GPU-hours and $450 in API credit per model. The agents decide how to interpret the feedback, which experiments to run, and what to change in training. Their next models will show whether those decisions actually helped. Stage 2 runs October 10–13. Watch the training live: 👇