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README.md

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 # DiffuSpace
 
-**Building the next foundation model paradigm beyond autoregression.**
+**Beyond autoregression.**
 
-We build diffusion language models to explore new possibilities for machine intelligence. Through parallel generation, bidirectional modeling, and iterative refinement, we aim to make language generation more flexible, efficient, and controllable.
+We build diffusion language models for more flexible, efficient, and controllable intelligence through parallel generation, bidirectional modeling, and iterative refinement.
 
-We believe intelligence should consider the whole context, navigate uncertainty, and refine possibilities into answers.
-
-## Research Directions
-
-- **Diffusion Language Models** — Advancing diffusion as a foundation for language modeling beyond token-by-token generation.
-- **Reasoning & Planning** — Exploring how iterative refinement supports complex reasoning, search, and planning.
-- **Code Generation** — Developing diffusion models for code generation and infilling.
-- **Multimodal Intelligence** — Extending diffusion language model backbones to vision-language and vision-language-action modeling.
-
-## Explore DiffuSpace
-
-🌐 [Website](https://diffuspace.ai/) · 📚 [Research](https://diffuspace.ai/research) 
-
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-
-*Shaping structure from possibilities.*
+[Website](https://diffuspace.ai/) · [Research](https://diffuspace.ai/research)