李菲菲关于ＡＩ和本人谈文思最低档
ＡＩ不过是自动化的熟练高效高速使用。关于李菲菲的ＡＩ谈话，本人认为对ＡＩ既没有丝毫恐慌的必要，也不要把ＡＩ神圣化。ＡＩ不过是自动化的机器被熟练地信息化使用。在这方面，所谓文人的思维最低档，为了骗取财富什么谎言都编得出来。所谓的知识份子最可恶，读了几个苟不教就以为它应该统治世界。
自称文人的话最讨厌，文质彬彬不等于有文化。胡闹鼓吹ＡＩ具有智商智力的多半都是半调子的文人。它们丝毫不懂得计算机原理，也不懂计算机算法，更不懂得无机物制造的计算机不可能有任何有机物的表现。他们居然把一个连有机物都不是的死机器，吹嘘成可以思考可以与人类平分天下的智慧物体。这么简单的低级错误，却有千千万被文人欺诈的人相信它。大众的愚蠢，从文人的嘴里三句话就可以感受到它的低贱廉价。被所谓民主洗脑的西方民众看来比起东方人更加可怜！因为在数据理论上讲，民主的功效与ＡＩ的所谓智力属于是同一个白痴级错误。
Fei-Fei Li warns U.S. AI backlash could slow global progress
Who is warning?: Fei-Fei Li, CEO of World Labs and leading AI researcher, says U.S. backlash against AI risks slowing innovation globally.
Why it matters: She calls for America to highlight AI’s benefits while addressing public concerns over energy use, jobs, and trust.
Global contrast: While U.S. skepticism rises, many Asian nations show more optimism about AI, linked to early education programs.
Fei-Fei Li sounds alarm on U.S. AI backlash
Fei-Fei Li, celebrated for her work on ImageNet, told Bloomberg that escalating U.S. skepticism toward AI could undermine progress worldwide. She urged the U.S. to act as a role model by promoting AI’s economic value and responding to public concerns. Her warning comes as Pew Research data shows many Americans are uneasy about AI, with resistance to data center projects citing high water and energy use. TechCrunch + 2
If we are not showing a positive attitude and positive path toward AI, everybody loses.
Fei-Fei Li,
pymnts.com+ 1
Li contrasted U.S. sentiment with more positive attitudes in parts of Asia, attributing the difference to early AI education efforts. She argued that without a constructive U.S. narrative, both domestic and global innovation could slow. Given America’s influence on technology adoption, its approach to AI will shape how other nations engage with the technology. pymnts.com + 2
Majority of Americans now wary of AI
According to Pew Research Center, 52% of U.S. adults say they are more concerned than excited about AI’s role in daily life, an increase from 37% in 2021. Among adults under 30, 55% now express greater concern than excitement, with job loss fears and environmental impacts from AI infrastructure among the factors influencing opinion. Polling also shows limited support for local AI data center projects, reflecting broader unease about their community impact. TechRadar Pro + 3
From ImageNet to World Labs: Li’s advocacy journey
Li’s career spans co-developing the ImageNet database to founding World Labs, which secured $1 billion in February to develop ‘world models’ aimed at advancing robotics, healthcare, and education. She acknowledged that the scientific community has not always communicated AI’s benefits effectively and expressed commitment to improving public engagement. Her advocacy centers on pairing innovation with trust to ensure AI’s benefits are broadly shared. pymnts.com + 2