Key Takeaways:
- 1. AI technology like Sora and Veo 3 is enabling even casual filmmakers to create remarkable videos, but there is a concern about the rise of AI-generated content and fake news.
- 2. Video generation models use latent diffusion transformers to create videos by processing compressed data in a mathematical code, making the process more efficient than traditional diffusion models.
- 3. Combining diffusion models with transformers helps maintain consistency in generated videos, allowing for improved quality and a wide range of training data sources.
AI technology like Sora and Veo 3 is democratizing video creation, but concerns arise over AI-generated content. Video generation models use latent diffusion transformers to process compressed data efficiently. By combining diffusion models with transformers, consistency in videos is maintained, improving quality. Veo 3's innovation includes generating audio with video. The use of diffusion models is expanding into text generation, offering more efficiency than traditional models.
Insight: The integration of latent diffusion transformers in video generation models is revolutionizing content creation, enabling enhanced quality and efficiency across various media types.
This article was curated by memoment.jp from the feed source: MIT Technology Review.
Read the original article here: https://www.technologyreview.com/2025/09/12/1123562/how-do-ai-models-generate-videos/
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