The AI landscape is rapidly expanding, with early winners emerging in various fields. RAG remains a dominant force in enterprise Large Language Model (LLM) systems. Recent research has consolidated existing knowledge on RAG and explored its evolution, suggesting new areas for innovation. AI-native enterprise apps have found success, with common traits among these winners providing a guide for generative AI companies. Researchers are also using AI to analyze disaster scenes and improve disaster response. Additionally, advancements in LLM pruning techniques and retriever methods can help build more effective RAG systems.