Core Viewpoint - The article emphasizes the importance of exploring and learning in the AI field as a means to contribute to society and the nation, highlighting the current opportunity for investors, practitioners, and researchers to deepen their understanding of technological trends and advancements in AI [1]. Group 1: AI Research Papers Overview - A collection of 30 influential AI papers recommended by Ilya Sutskever is presented, covering nearly 15 years of milestones in AI development, structured around the themes of "technical foundations, capability breakthroughs, and practical applications" [4]. - The selected papers span key transitions in AI from "perceptual intelligence" to "cognitive intelligence," including foundational works on CNNs, RNNs, Transformers, and cutting-edge research on RAG and multi-step reasoning [4][5]. Group 2: Learning and Application - The compilation breaks down complex technical terms like "residual mapping" and "dynamic pointer networks," aiding non-technical investors in understanding AI model capabilities, while providing practitioners with practical references for implementation [5]. - The article encourages readers to study the recommended papers during the holiday period to systematically understand the evolution of AI technology and to gain deeper insights into the opportunities and challenges in the current AI industry [5]. Group 3: Importance of the Recommended Papers - Ilya Sutskever stated that mastering the content of these 30 papers would provide a comprehensive understanding of 90% of the key knowledge in the current AI field [8]. - The papers cover a range of topics, including the effectiveness of recurrent neural networks, the structure and function of LSTM networks, and the introduction of pointer networks, all of which contribute to advancements in AI applications [8][9][10].