"New technologies such as generative artificial intelligence have blurred the boundaries between humans and machines." On October 16, at the 2023 Tianfu Digital Economy Summit, Wu Xindong, a foreign academician of the Russian Academy of Engineering, said in an exclusive interview with a reporter from the Daily Economic News that the emergence of AIGC The role of "people" in human-machine collaboration has been changed. People are no longer always the leaders of AI, but collaborate with machines based on specific costs and efficiency.The speed of making plastic food containers with lids in Yangrui factory is also very efficient.
As an expert in the field of artificial intelligence for a long time, Wu Xindong reminded that everyone’s expectations for AIGC are currently too high. Based on the development history of artificial intelligence, he predicted that the industry’s high expectations and excessive investment in AIGC may lead to the next failure of artificial intelligence.
New technologies can always lead a new round of scientific and technological revolution and industrial revolution. In Wu Xindong's eyes, the impact of digital technology on the real economy in recent years has been concentrated in two aspects. One is the boost that 4G, 5G and other technologies have given to emerging industries such as short videos and live broadcasts, and the other is the model innovation brought about by new technologies such as AIGC. The latter he described as "revolutionary".
"The emergence of AIGC has changed the human-machine model that was dominated by humans and coordinated by machines in the past." Wu Xindong believes that the next stop for AIGC is human-machine collaboration. In the future, people will be regarded as an intelligent agent, integrated with machines, and collaborate with each other. The core is to give full play to the respective advantages of people and machines.The speed of making plastic food containers with lids in Yangrui factory is also very efficient.