Use video world model wording

README.md

@@ -41,7 +41,7 @@ base_model:
   <a href="https://huggingface.co/Watay/AAD-1">🤗 Models</a>
 </h2>
 
-We present **AAD-1**, an Asymmetric Adversarial Distillation framework for one-step autoregressive image-to-video generation. AAD-1 addresses motion collapse and training instability by combining an asymmetric generator-discriminator design with phased training: the generator remains causal for autoregressive sampling, while a bidirectional video-level discriminator scores full spatiotemporal sequences to detect global temporal failures and long-range drift. A distribution-matching warmup first bootstraps a stable one-step generator before adversarial distillation, enabling state-of-the-art one-step autoregressive video generation on VBench.
+We present **AAD-1**, an Asymmetric Adversarial Distillation framework for one-step autoregressive video world model generation. AAD-1 addresses motion collapse and training instability by combining an asymmetric generator-discriminator design with phased training: the generator remains causal for autoregressive sampling, while a bidirectional video-level discriminator scores full spatiotemporal sequences to detect global temporal failures and long-range drift. A distribution-matching warmup first bootstraps a stable one-step generator before adversarial distillation, enabling state-of-the-art one-step autoregressive video generation on VBench.
 
 ![AAD-1 training pipeline](assets/training_pipeline.png)