update README

README.md

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-## News
-
-- [2026-07-09] DM0.5 is officially released. Read the [technical blog](https://www.dexmal.com/blog/dm0.5/index_en.html) for more details.
-
 ## Introduction
 
-DM0.5 is Dexmal's next-generation Vision-Language-Action model (VLA) for open-world robot control. It builds on the native embodied modeling approach introduced by DM0, with systematic upgrades for open-ended instructions, long-horizon tasks, dynamic disturbances, and multi-embodiment robot control.
-
-OpenDM provides DM0.5 model weights, training and inference scripts, dataset registration examples, and evaluation workflows for researchers and developers to train, fine-tune, evaluate, and deploy the model.
-
-### DM05-robotwin2
-
-DM05-robotwin2 is the RoboTwin 2.0 fine-tuned generalist checkpoint of DM0.5, Dexmal's
-open-world Vision-Language-Action foundation model for embodied intelligence.
-DM0.5 uses a Gemma3 4B vision-language backbone with a 680M Action Expert to
-generate continuous robot actions, and is designed for natural-language
-manipulation, zero-shot generalization, efficient downstream fine-tuning,
-long-horizon historical context, robust policy behavior, and transfer across
-robot embodiments.
+DM05-robotwin2 is the RoboTwin 2.0 fine-tuned generalist checkpoint of DM0.5, Dexmal's open-world Vision-Language-Action foundation model for embodied intelligence. DM0.5 uses a Gemma3 4B vision-language backbone with a 680M Action Expert to generate continuous robot actions, and is designed for natural-language manipulation, zero-shot generalization, efficient downstream fine-tuning, long-horizon historical context, robust policy behavior, and transfer across robot embodiments.
 
-This checkpoint controls the ALOHA bimanual embodiment using three RGB camera
-views and generates 14-dimensional joint-position action chunks.
+This checkpoint controls the ALOHA bimanual embodiment using three RGB camera views and generates 14-dimensional joint-position action chunks.
 
 #### RoboTwin 2.0 Results