Text-to-Video

Text-to-video generation is the most ambitious frontier in generative AI — synthesizing temporally coherent, physically plausible video from text prompts alone. The field exploded in 2024 with Sora demonstrating cinematic-quality generation, followed by open models like CogVideoX and Mochi pushing accessibility. The core technical challenge is maintaining consistency across frames: characters shouldn't morph, physics should hold, and camera motion should feel intentional. Quality is improving at a staggering pace, but generation still takes minutes per clip and artifacts remain visible under scrutiny — the gap between demos and reliable production tools is real.