Update README.md

README.md

@@ -51,7 +51,8 @@ To facilitate early community exploration of the reasoning capabilities of the t
 This model retains the efficient MoE architecture of Ling 2.0, completed pre-training on 20T tokens of corpora, and underwent RLVR training tailored for reasoning abilities within our self-developed efficient reinforcement learning system __ASystem__ (the AReal framework of which has been open-sourced), leveraging the previously disclosed "__icepop__" method(https://ringtech.notion.site/icepop).
 
 
-__Ring-1T__ remains under continuous training. While the preview version already demonstrates powerful natural language reasoning capabilities, it still exhibits issues such as language mixing, repetitive reasoning and identity misperception. 
+__Ring-1T__ remains under continuous training. 
+While the preview version already demonstrates powerful natural language reasoning capabilities, it still exhibits issues such as language mixing, repetitive reasoning and identity misperception. 
 We look forward to community exploration and feedback to collectively accelerate the iterative refinement of this trillion-parameter foundation.