Recent research has highlighted advancements in artificial intelligence (AI) strategic thinking, particularly through the introduction of new methodologies. A paper titled 'Strategist' details a sophisticated technique that enhances AI agents' strategic decision-making capabilities. This approach combines self-improvement, bi-level tree search, and large language model (LLM)-based reflection, aiming to improve performance in specific games. Additionally, researchers from Nanjing University of Information Science and Technology and Hangzhou Dianzi University have unveiled a new framework called Graph Retrieval Augmented Trustworthiness Reasoning (GRATR). This innovative method is designed to enhance trustworthiness reasoning in AI, particularly in multiplayer games and real-time decision-making scenarios. The developments signify a potential shift in how AI can be utilized in complex strategic environments.