Reinforcement Pre-Training: The Next Phase in Model Optimization

Reinforcement pre-training applies reinforcement learning principles early in model development to guide reasoning, exploration, and safety behaviors. By shaping learning before alignment, it bridges the gap between pre-training and RLHF—enhancing intelligence formation in large AI systems.