The field of semantic communication is rapidly evolving, with a focus on developing innovative methods to improve the efficiency and effectiveness of wireless communication systems. Recent research has explored the integration of artificial intelligence and machine learning techniques to enable semantic communication systems to extract and transmit task-relevant information. This has led to the development of new communication paradigms that go beyond traditional syntactic communication, allowing for more efficient use of resources and improved performance. Notable papers in this area include the proposal of a Resource-aware wOrkload-adjUstable TransceivEr (ROUTE) for AI-generated content delivery, which utilizes semantic communication to prioritize semantic information and improve computational resource utilization. Another notable paper proposes a multi-text transmission semantic communication system, which uses a visual language model to assist in the transmission of image semantic signals, significantly improving reconstruction accuracy. Overall, the field of semantic communication is moving towards the development of more efficient, effective, and intelligent communication systems, with a focus on exploiting the semantics of the transmitted information to improve performance.