Recent discussions in the field of artificial intelligence highlight significant advancements in Retrieval-Augmented Generation (RAG) and Large Behavior Models. RAG is being recognized for its ability to enhance the accuracy and performance of language models, allowing for more precise outputs linked to specific data sources. Additionally, the emergence of Large Behavior Models is noted for their potential to surpass traditional Large Language Models, enabling AI systems that can interact in more human-like ways, including the ability to walk and talk. This shift could reshape user interactions with AI technologies, marking a pivotal moment in digital transformation. Various experts and blogs are exploring these innovations, emphasizing the importance of understanding the underlying mechanisms of these technologies as they evolve.