College Major Choice

College major choice is the episode’s frame for choosing a field of study under uncertainty rather than optimizing only for a currently hot job title. In Vol. 169 高考只是个开始，Don’t Waste Your Life, Justin Yan and 自立 treat gaokao volunteer filling as a serious but revisable decision that interacts with school resources, city context, family expectations, income needs, personal interest, and AI-driven change.

把身体数据存起来，可能是普通人最划算的 AI 投资 adds Jiang Xun / 江迅’s parent-and-author perspective. Because many students do not yet know what they like, the episode argues that curiosity and real-world exposure should be cultivated before the application deadline, while Distribution-Out Personal Strategy warns against choosing only the most standardized path.

Key Claims

• A major can shape four years of courses, peers, projects, and recruiting access, but it is not an irreversible verdict on the rest of life.
• Hot-major chasing is risky because students see current popularity at admission time but graduate into a future market that may have changed.
• AI makes prediction harder, not easier: computer science, AI, art, biology, chemistry, medicine, and other fields may all need AI use, but no one can guarantee the exact labor-market effect four years later.
• Good decisions depend on information quality: official education data, admissions-office material, alumni and senior-student experience, and careful filtering of platform anecdotes.
• Parent-student disagreement should be handled through evidence and context rather than automatic deference to either side.
• Exceptional cases can inspire, but gifted outliers should not become ordinary templates for choosing a major.
• The most durable advice is to choose a direction where ability, interest, responsibility, and realistic opportunity can reinforce each other.
• Interest is not always obvious on demand; students need earlier exposure to real work, experiments, and adults’ professional lives to discover what can sustain effort.

Connections

• College Career Preparation — how the chosen major turns into GPA, projects, internships, exams, or portfolio strategy.
• University Opportunity Density — school and city context that can make a major more or less valuable in practice.
• Learning How To Learn and AI As Tutor — durable learning layer that matters across majors.
• Graduation Anxiety — later pressure that can be reduced when students use college years deliberately.
• Human Judgment Under AI — AI can inform the decision, but students still own the tradeoffs.
• The Fifth Dimension / 第五维度 and Distribution-Out Personal Strategy — added frame for choosing under AI uncertainty without becoming a standardized person.