A key consensus emerged from the 2026 Sina Finance Global Capital Summit held in Hong Kong, China, on July 16th. World Bank former Vice President and Oxford University professor Ian Goldin and the founding director and chief scientist of the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Zhonglin Wang, delivered speeches. While their expertise lies in global development and nano-energy frontiers respectively, they arrived at an identical conclusion: 人工智能 is a double-edged sword.
Ian Goldin: AI is a Knife, It Can Save or Harm
In his address, Ian Goldin stated plainly that 人工智能 is a great invention, but it is akin to a knife. It can be used to benefit humanity, to cut food, perform surgeries for health, and create beautiful things. However, he cautioned that 人工智能 equally holds the potential to pose a fatal threat to us. He emphasized that AI is a quintessential double-edged sword that requires careful management with clear guardrails and regulations. The goal, he stressed, is to ensure AI serves humanity, not the other way around. Goldin also noted that this work is entirely feasible, with relevant explorations already underway in places like Hong Kong and mainland China. The critical point, however, is that all efforts must be built upon sufficient international coordination.
Zhonglin Wang: I Particularly Agree with Professor Goldin that AI is a Double-Edged Sword
In his speech, Zhonglin Wang explicitly expressed his agreement with this view, stating that 人工智能 is a double-edged sword. Building on this, Wang further pointed out that AI is evolving from large language models toward what he termed "large world models." He explained that while the current focus is on large language models, the future will involve large world models, which entail converting every human action into data for analysis, including behavior and psychology. He identified sensor development as the key to implementing large world models, noting that "sensors do not work without electricity." Wang highlighted that the triboelectric nanogenerator (TENG) he invented in 2012 provides a stable self-powering solution for distributed sensors, enabling effective conversion of low-amplitude, low-frequency energy into electricity. This electricity, he concluded, can serve as the power source for the Internet of Things and AI sensors.
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