Video generation with realistic motion (Practical AI #301)

This Practical AI podcast episode interviews Paras Jain, CEO of Genmo, about the current state and future of video generation AI. The discussion traces the evolution of video generation models from GANs to diffusion models, highlighting the challenges of data volume and the need for specialized architectures to handle the immense data requirements. Jain details Genmo's open-source Mochi model, emphasizing its focus on realistic motion and prompt adherence, and describes how it's being used for content creation and editing workflows. The conversation also explores the democratizing potential of video generation, enabling wider access to creative tools and potentially transforming content production. A key takeaway is that realistic human motion remains a significant challenge in video generation, even for advanced models.