Group 1 - The State Council's recent opinion emphasizes the importance of "AI + Science and Technology" as a top priority, indicating a strategic shift to leverage AI for scientific breakthroughs and societal development [1][3] - The concept of "scientific paradigm" is introduced, highlighting how AI is becoming a new paradigm in scientific research, akin to previous shifts from experimental methods to data-driven approaches [4][10] - AI is seen as a powerful tool that enhances research capabilities, enabling scientists to tackle previously insurmountable challenges, such as protein structure prediction [4][6] Group 2 - AI's integration into scientific research is already widespread, particularly in literature review and knowledge synthesis, significantly improving efficiency [5][10] - The development of "scientific large models" is crucial, which are designed to understand and analyze complex scientific data, thus acting as advanced research tools [7][8] - The current stage of scientific large model development faces challenges related to data quality and accessibility, but there is a significant opportunity in leveraging the country's educational resources for data annotation [8][9] Group 3 - AI is breaking down traditional disciplinary barriers, allowing for interdisciplinary research that focuses on problem-solving rather than adhering to specific academic fields [10][11] - The rise of AI is prompting a reevaluation of philosophical and social science research methodologies, expanding the scope of inquiry to include the societal impacts of AI [11][12] - Future scientific research is expected to be transformed by AI, enabling young scientists to focus more on innovation rather than repetitive tasks, thus enhancing their productivity [13][14]