A recent study highlights the importance of improving the quality and diversity of pretraining data for Romanian large language models (LLMs). As LLMs gain traction globally, ensuring that under-represented languages like Romanian have access to high-quality data is crucial for their development. This research not only sheds light on the current state of Romanian corpora but also emphasizes the need for better data curation, which could enhance the performance of LLMs in various applications. This is a significant step towards making advanced language technologies more inclusive.