Gerui Wang is a lecturer at Stanford University. She writes and teaches on the impact of AI and emerging technologies on society, culture, and media.
in Menlo Park, Calif. on its latest creation, Meta Movie Gen , a “cast of media foundation models.” Though still locked in the lab, Meta announced its ambition of combining audio, image, video, and text into one seamless generative AI model.
Trained on vast multimedia datasets, Meta Movie Gen cranked up the heat on competitors like Runway, Pika Labs, Luma AI, and OpenAI’s Sora, all racing to redefine video generation.to foundation models including co-training of images and videos, spatial-temporal compression in the latent space, rich text embeddings, bi-directional attention instead of causal attention, efficient inference using temporal tiling and others.
One can even fabricate a career highlight—delivering a keynote speech or accepting a prestigious award. The lighting feels unnatural, the shading overwhelms, the movement stiffens, and the joy of play disappears in a homogenizing portrayal of a child running with their back turned to us. The result is a world where the original, genuine experience fades in favor of reproductions crafted for public consumption.
Meta Movie Gen Mark Zukerberg Runway Pika Labs Luma AI AI Video Film Audio AI Image
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