In the 2024 Global Developer Pioneer Conference held in Shanghai, experts in the field of AI discussed how to respond to the impact of AI from various perspectives, including technology, industry, and humanity.

Dr. Shen Xiangyang, the former Executive Vice President of Microsoft and responsible for AI business, described AI as a force that will sweep across all industries. However, he also pointed out that the development of large models is highly dependent on computing power. While models like ChatGPT represent the top tier in terms of generative AI, the industry models have parameters in the range of hundreds of billions, and enterprise models have parameters in the range of tens of billions. Dr. Shen emphasized that the limitation of computing power could hinder the further development of large models. Dr. Qiao Yu, the leading scientist at the Shanghai Artificial Intelligence Laboratory, raised the question of when the demand for computing power and resources for large models would reach its limit. He expressed concerns about whether the current rate of increase in computing power and resources is enough to lead humanity into the era of general artificial intelligence (AGI). According to him, this is a question that every developer should ponder. Recently, DeepMind, a team under Google, introduced a mathematical model called "Alpha Geometry" with only 150 million parameters. This model was able to solve 25 out of 30 international mathematical Olympiad problems, reaching the average level of gold medalists. Dr. Qiao suggested that instead of relying solely on large models like GPT4, combining them with smaller models could potentially open up a more efficient path for AI development. Dr. Shen also mentioned that there is still much room for innovation in large models at the theoretical level. Scientists still have a lot to understand about the essence of mach... ——Will this lead to a general decline in human intelligence? In the age of AGI, as AI replaces humans in various tasks and solves various problems, is it possible that humans' reliance on AI will lead to this outcome? To avoid this trap, Kas believes that when designing AI, developers should not only make it think for humans but also inspire human creativity. ——Will it bring about a dilemma of identity? As AI replaces a large amount of work, even if people can obtain food and wealth without labor, can we adapt to a life that completely separates personal identity from occupation? ——Can it truly align with human values? Can the beautiful things that parents pass on to their children today, such as courage, kindness, intelligence, and empathy, continue to be embraced by machines? Kas says that the more tasks machines can handle in the age of AGI, the more quickly wisdom depreciates. When people are no longer bound by work, he suggests that ordinary individuals carefully consider how to live, especially how to make good use of the sudden abundance of leisure time. "We can communicate more with family and loved ones, and share our happiness," he says. According to Kas, the most important thing is to find the inherent qualities that belong to humans beyond the realm dominated by AI, such as trust, cooperation, and care. He predicts that in the future, a person's value in the world will be defined by their ability to collaborate with others. As for the popular idea of "AI resurrecting the deceased" currently, Kas frankly expresses his concern that people might truly believe that machines can replace humans, but machines do not have souls and cannot generate ideas. "We should draw a clear line between the virtual and the real, and the most important thing in the future is human interaction."