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# Diffusion transformers are the key behind OpenAI’s Sora — and they’re set to upend GenAI

**[TechCrunch](https://daily.dev/sources/tc)** · 3 min read · 0 upvotes · 0 comments

## Summary

Diffusion transformers are set to upend GenAI by enabling models to scale up beyond what was previously possible. They replace U-Nets in diffusion models, providing efficiency and performance boosts. The attention mechanism of transformers makes them simpler and parallelizable. The Sora team showcased the transformative potential of transformers on a big scale.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://techcrunch.com/2024/02/28/diffusion-transformers-are-the-key-behind-openais-sora-and-theyre-set-to-upend-genai/>

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Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#genai](https://daily.dev/tags/genai), [#openai](https://daily.dev/tags/openai), [#stable-diffusion](https://daily.dev/tags/stable-diffusion), [#stability-ai](https://daily.dev/tags/stability-ai), [#sora](https://daily.dev/tags/sora)

[View this post on daily.dev](https://daily.dev/posts/diffusion-transformers-are-the-key-behind-openai-s-sora-and-they-re-set-to-upend-genai-uqdq1b1fu)

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