诺贝尔经济学奖得主萨金特:AI发展尚处在“开普勒阶段”

智通财经
Sep 09
【诺贝尔经济学奖得主萨金特:AI发展尚处在“开普勒阶段”】2011年诺贝尔经济学奖得主、纽约大学教授托马斯·萨金特在2026 Inclusion·外滩大会见解论坛上表示,AI正在成为推动经济增长的重要力量,但围绕AI的投资、决策与政策制定,也正面临巨大的不确定性。资本投入的规模不断扩大,并不意味着未来回报就更加确定。他用17世纪的开普勒和牛顿作比。开普勒通过大量天文观测数据,总结出了行星运行的规律,但当时并不知道这些规律背后的物理原因;牛顿则进一步解释了这些规律背后的基本原理。“今天的AI有点像开普勒。”萨金特表示,AI真正的前沿,是能否从“开普勒阶段”走向“牛顿阶段”——不仅能够发现相关性,还能够进一步理解和推断事物背后的结构,在训练数据之外实现更好的泛化,并能够识别自身知识的边界。“我们还不知道AI什么时候会进入‘牛顿阶段’。”

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10