tech Deep Dive
Designing a Sora-Scale Text-to-Video System
Sora's core architecture is a Diffusion Transformer (DiT): compress video into spatiotemporal patch tokens, train a diffusion model to denoise them, with the Transformer handling global coherence. The real engineering challenges are temporal consistency, variable-length/resolution support, and training scale.