The field of Low Earth Orbit (LEO) networks is rapidly evolving, with a focus on improving the stability and efficiency of inter-shell routing, as well as enhancing real-time communication (RTC) performance. Researchers are exploring novel approaches to optimize routing costs, balance hop counts and ISL stability, and develop adaptive queue management mechanisms to prioritize low-latency communication. Additionally, there is a growing interest in intelligent task management and dynamic multi-region division to ensure balanced task distribution and minimize congestion in LEO networks. Another emerging trend is the development of AI-oriented real-time communication frameworks, which aim to reduce latency and improve video streaming quality for human-AI interactions. Notable papers include: the Dynamic Programming-based Integrated Routing Cost algorithm, which reduces inter-shell ISL switching rates by 39.1% and 22.0% compared to existing strategies; the data-driven queue management mechanism, which yields up to 3x improvements in video bitrate and reduces freeze rate by 62% compared to default WebRTC; and the Artic framework, which explores the network requirement shift from humans watching video to AI understanding video.