Google DeepMind trained Gemini 1.5 Flash to adopt specific values by midtraining it on synthetic documents before chat finetuning. This two-step process ensures traits remain robust even in out-of-distribution scenarios. The method improves how models internalize desired behaviors. Practitioners can now use synthetic data to more reliably steer model personality and alignment.