arXiv cs.CLPaper
Language Models as AI Research World Models
This is the real story about AI research automation: outcome prediction is now viable and generalizes across pretraining, post-tuning, and inference domains. This changes how you run hyperparameter search and architecture sweeps. The scale of the training data (2,600+ experiments across nine environments) makes this credible. For AI researchers and practitioners building models, this is a concrete tool to add to your workflow.