Core Insights - The article emphasizes the transformative impact of AI, particularly the GPT-4 model, on the global economy and the necessity for educational institutions to adapt their talent cultivation strategies to meet new productivity demands [1] Group 1: Talent Development Strategies - The establishment of a "community of shared destiny" in industry-education integration is crucial for upgrading university-enterprise relationships to meet the higher demands of new productivity [2] - Universities should implement integrated development strategies by aligning their computer science and technology programs with emerging industries, creating a "1+1+N" model for deep collaboration with core enterprises [2] - A long-term development mechanism should be designed to provide a comprehensive set of cooperation benefits, such as prioritizing the recruitment of outstanding graduates by partner companies [3] Group 2: Curriculum Innovation - A modular and menu-based curriculum system should be developed to quickly respond to the demands of new productivity, including the creation of "smart+" series courses in collaboration with industry experts [4] - Real projects from partner companies should be integrated into the curriculum to enhance students' practical skills and employability [4] Group 3: Faculty Development - A "dual-teacher" team should be established, consisting of educators proficient in theory and practice, to ensure the effective implementation of educational reforms [5] - Regular workshops and technical salons should be organized to facilitate knowledge exchange between university faculty and industry engineers [6] Group 4: Practical Innovation Bases - Advanced practice bases should be built to simulate real production environments, enhancing students' innovation capabilities and engineering skills [7] - A "one-stop" incubation platform should be created to support students in transforming their innovative ideas into entrepreneurial ventures [7] Group 5: Evaluation Systems - A comprehensive evaluation system should be established, focusing on innovation value and personal capabilities rather than solely on grades [8] - A digital capability archive should be developed to track students' participation in projects and competitions, aiding in personalized education and talent recommendations [8] Group 6: Innovation Culture - A campus culture that encourages innovation and tolerates failure should be fostered, creating an environment conducive to the growth of new productivity talent [9] - Activities promoting craftsmanship and entrepreneurial spirit should be organized to instill these values in students [9] Group 7: Lifelong Learning Ecosystem - A new ecosystem for continuing education should be established to support lifelong learning and adapt to the rapid technological changes [10] - Customized continuing education programs should be offered to in-service engineers, enhancing the social service function of computer science disciplines [11]