The field of large language models (LLMs) is rapidly advancing, with a focus on integrating these models into various applications to improve efficiency, accuracy, and decision-making. Recent developments have shown the potential of LLMs in areas such as software engineering, cybersecurity, and content management. Notably, LLMs are being used to support software practice adoption, generate software documentation, and facilitate collaborative intelligence in security operations centers. Additionally, LLMs are being leveraged to enhance computing education research and improve the integration of content management systems in model-driven projects. Overall, the field is moving towards increased adoption and integration of LLMs in various domains, with a focus on improving human-AI collaboration and augmenting human capabilities. Noteworthy papers include: Using LLMs and Essence to Support Software Practice Adoption, which demonstrates the potential of LLMs in supporting software engineering practices. LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centres, which highlights the benefits of LLMs in security operations centers.