The authors of Linum v3 are working on a new open-weight generative video model, targeting three key improvements: better prompt adherence, training/inference acceleration, and consistent physics. They share their approach to data filtering using black box neural networks and reinforcement learning with verifiable rewards (RLVR) for fine-tuning LLMs.