How can artificial intelligence empower the development of new quality productivity? How to make up for the "capability deficiency" of large models At the 2024 China Computer Conference held in Hengdian Town, Dongyang City, Zhejiang Province from the 24th to the 26th, experts discussed how to promote the continuous integration of artificial intelligence with various industries, making it the "base technology" that drives the digital transformation and innovative development of the economy and society. Merchants generate product details and graphic marketing materials through large models to enhance sales conversion; Express delivery personnel improve the efficiency of delivery and collection through intelligent prompts and operations; Patient consultations, intelligent systems provide professional and temperature sensitive consultation services, and recommend treatment plans for doctors... Experts attending the conference stated that the technology and industry sectors are continuously witnessing the growing strength of large-scale models. Computing not only generates intelligence, but also shapes consensus, provides a new paradigm for scientific research, and gives birth to new economic forms Chen Chun, an academician of the CAE Member, said that computing is the key force to promote the progress of the times. Currently, there are hundreds of large-scale model applications incubating and growing in various scenarios within JD.com, supporting the work of over 600000 employees and 200000 merchants, further improving work efficiency and reducing costs The person in charge of JD Cloud stated in their speech at the conference that although there has not yet been a "super application" for ordinary consumers in the big model, industrial applications have gradually been launched. Now, a third year undergraduate student can complete a 6-minute short film in just two weeks using artificial intelligence technology alone Sun Lijun, Vice President of Beijing Film Academy, said that the future is here, and now film practitioners are facing the challenge of how to learn from artificial intelligence and make friends with it. The "Global Digital Economy White Paper (2024)" released by the China Academy of Information and Communications Technology shows that as of now, there are over 1300 large-scale artificial intelligence models worldwide, with China accounting for 36% of the total, ranking second in the world. Industry insiders stated at the meeting that artificial intelligence has been developing for nearly 60 years, experiencing three peaks and two valleys, both of which are related to the technology's failure to truly land. The rapid development of artificial intelligence is mainly driven by big model technology, and whether big models can truly be widely and effectively applied will be the key to the future development of this technology. The ability is indeed amazing, but the flaws are also surprising When talking about the performance of Sora, a large-scale artificial intelligence model for cultural and biological videos, Rui Yong, Senior Vice President of Lenovo Group, said that the emergence of large-scale models has driven the development of artificial intelligence as a whole, but the lack of reasoning ability, planning ability, and limitations in understanding the physical world are also becoming prominent. Currently, people have high expectations for 'artificial intelligence+', but the application of artificial intelligence still needs to go through a period of exploration, adaptation, and accumulation before it can usher in prosperity Mei Hong, an academician of the CAS Member, believes that daily chat or the generation of text reports and videos are usually only a small part of the industry's needs. The applications that the industry needs to implement are effective solutions to production problems and business problems. Several experts have mentioned that large models are not the only path for the development of artificial intelligence. A more comprehensive and mixed technological development path may potentially drive breakthroughs in artificial intelligence principles, data dependence, computing power consumption, and other challenges. There are many schools of artificial intelligence, just like Chinese Kung Fu, such as Shaolin, Wudang, Emei, etc. Each school has its own strengths. To 'patch' the big model, we need the 'help' of other schools of thought Rui Yong said that he looks forward to strengthening cooperation between academia and industry to create an artificial intelligence framework that truly empowers thousands of industries in the new era. (New Society)