MIT Technology Review Narrated How do AI models generate videos?
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Oct 1, 2025 Discover how cutting-edge AI models generate videos, transforming static images into dynamic sequences. Learn about the rise of popular tools like Sora and Veo3, and how everyday users can create videos with just a few prompts. Delve into the mechanics of diffusion models, which expertly reverse noise to produce clear images. Explore the integration of text and image generation, and how latent diffusion optimizes video quality. Plus, find out how these models synchronize audio and video for a seamless viewing experience!
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2025 Brought Powerful Public Video Tools
- 2025 brought public video models like OpenAI's Sora and DeepMind's Veo3 into mainstream apps and services.
- Even casual users can now generate impressive clips, but demo reels are cherry-picked.
Access Scales Creativity And Risk
- Wider access means both creative possibilities and a flood of low-quality or misleading AI videos.
- The technology's popularity has increased misuse risks and energy concerns.
Diffusion Models Reverse Noise Into Images
- Diffusion models learn to reverse noise by training on millions of partially corrupted images.
- They generate images by iteratively turning random static into pictures that match their training distribution.