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LLMs can guide their own self-play, leading to superhuman performance with smaller models and less compute.
Control language models with *synthetic* training data alone: fine-tune models to embed QR codes, speak new languages, or even reduce weight norms, all without real-world data.
Forget rephrasing: stitching synthetic text into "megadocs" unlocks surprisingly better pre-training, especially for long-context tasks, and keeps improving as you scale.
