RSI-Craft paper trains models to run their own post-training
Turning papers into executable post-training environments is a concrete step toward models that improve themselves, and the benchmark parity with GLM-5.2 and GPT 5.5 shows the approach already competes with frontier results. Practitioners fine-tuning smaller open models can study the 281-task pipeline and trajectory filtering method to replicate the gains. The released Qwen-based checkpoints make the results directly testable.
