Summary of Key Points
This article focuses on the topic of "information asymmetry and technological equity," comparing the different attitudes towards AI in China and the United States. It analyzes the popularity of Zhang Xuefeng, highlighting the issue of information disparities related to college application decisions during the national examination process. The article argues that large AI models have the potential to address the fairness challenges associated with these applications and emphasizes the significant role AI can play in breaking down educational information barriers and promoting equality in education.
Breakdown and Interpretation
1. Are there huge differences in attitudes towards AI between China and the US? Here's why
In the US, AI pioneers such as Amodei from Anthropic and Altman from OpenAI claim that AI could destroy the world while simultaneously seeking public support for their profit-making endeavors. They use public data to train their models, becoming extremely wealthy, which raises concerns about job losses among the general population. As a result, these individuals are often portrayed as "bad guys" in the media, leading to calls for regulation or even the nationalization of AI companies.
In China, however, AI is still in its developmental stage. People are more interested in the high salaries of renowned researchers and company financings, viewing AI as a new tool that can assist with tasks like writing copy or designing, without yet perceiving a direct threat. Therefore, the overall attitude towards AI is more positive, lacking the sense of caution seen in the US.
2. Why did Zhang Xuefeng attract such a large crowd for his funeral? Information asymmetry is the key
The process of filling out college application forms is incredibly complex: with over 3,000 universities and more than 2,000 majors to choose from, students must make 50 decisions in 2026. Children from urban areas may be better prepared for this task, but those from rural or less developed regions often lack a clear understanding of what the various majors entail.
Zhang Xuefeng capitalized on this information gap by providing straightforward and practical advice (e.g., "Don't study journalism"). Although his views might be somewhat narrow-minded, for many people, usefulness outweighs correctness. The large number of attendees at his funeral reflects their gratitude for helping them navigate this critical decision-making process.
3. Are professional career planners expensive and unreliable? AI can serve as a free personal advisor
Currently, career planning services are available, but they are costly (starting from 2,000 RMB for associate degrees and 3,000 RMB for bachelor's degrees), which many families cannot afford. Moreover, the advice provided by planners may not always suit individual needs (for example, a planner might suggest a major that is more employable but not necessarily in line with one's interests).
Large AI models can solve this problem by integrating expert knowledge and making it available to all candidates for free or at a low cost. Students can repeatedly ask questions about career prospects or the suitability of schools based on their scores, allowing them to make more informed choices. This approach is both fair (accessible to everyone) and personalized.
4. Can AI make education more equitable? It has the potential to break down information barriers
While "choice matters more than effort," the fairness of these choices depends on the amount of information available to individuals. Everyone is influenced by their environment (family, friends, teachers), creating what is known as an "informational茧." For example, children in rural areas may not be aware of the field of computer science, while those in urban areas have access to cutting-edge knowledge.
Historical advancements such as the invention of printing and the internet have helped break down these barriers. AI can do the same by providing personalized guidance to each student, essentially acting as a private tutor at an extremely low cost. This would enable children from both rural and urban backgrounds to access quality educational resources, reducing educational inequality and allowing more people to realize their potential.
The core message of this article is that technology, particularly AI, holds great power in addressing information asymmetry and promoting social equity. From the process of college applications to the goal of equalizing education opportunities, AI is making choices more equitable.