Apple developed STARFlow-V to challenge the dominance of diffusion models in video generation. This new system utilizes normalizing flows to enable end-to-end learning and native likelihood estimation. It handles spatiotemporal complexity more efficiently than traditional iterative methods. Researchers can now implement robust causal prediction without the computational overhead typical of diffusion-based architectures.