AI 时代，我们到底该学什么？｜对谈于红：三种不会过时的能力

Summary

This 十字路口Crossing conversation with 于红 asks how education should change when AI makes knowledge retrieval, translation, and routine execution cheaper. Drawing on her move from investing to founding 兔咚咚, Yu Hong argues for reallocating learning time toward 社会情感学习, self-knowledge, open learning, responsible choice, and a practiced positive orientation. The episode’s strongest synthesis is that AI does not remove the need for foundational study; it raises the value of the person-level capacities that decide what to learn, whom to trust, how to revise a judgment, and how to act.

Key Claims

• AI-era curriculum choices should be individualized by aptitude, goals, and opportunity cost rather than reduced to whether every child should or should not study mathematics, programming, English, or another subject.
• Language remains foundational because it supports thought, writing, world-understanding, and interaction with AI, while AI may reduce the time needed for some advanced translation or routine knowledge tasks.
• SEL spans self-management, relationships and conflict resolution, and responsible adaptation to the wider world; emotional stability is only one part of that field.
• 情绪接纳—信号—行动顺序 separates accepting a feeling from endorsing every behavior: emotion is first recognized and interpreted, then action is chosen after enough regulation.
• Critical thinking can begin by separating observation from interpretation, generating alternative explanations, seeking evidence, communicating, and updating the original belief.
• 反思式选择能力 grows through broad experiments, attention to enjoyment and flow, tolerable mistakes, post-event review, and a future-oriented value hierarchy rather than introspection alone.
• Major irreversible decisions should not be made at the peak of fear, anxiety, or anger; emotional information matters, but a more stable state makes broader reasoning possible.
• Investment learning requires 智识诚实复盘: predictions should be recorded and revisited before distant outcomes make self-justifying stories easy.
• Entrepreneurial learning combines intelligence with openness. Yu Hong’s team used “I have a hypothesis” to shift discussion from defending identity toward testing evidence.
• The source’s three durable capacities are self-knowledge and choice, openness to learning from others, and an actively practiced positive orientation.

Key Quotes

“内心丰盈，积极行动。” — Yu Hong’s desired outcome for children’s long-term development.

“我有一个假设。” — a discussion norm intended to make beliefs easier to test and revise.

“以终为始。” — the episode’s future-oriented principle for major choices.

Connections

• 于红 - guest connecting investing, education entrepreneurship, parenting, and adult decision-making.
• 兔咚咚 - Yu Hong’s online children’s SEL product and course-design context.
• 社会情感学习 - the episode’s central educational field.
• 情绪接纳—信号—行动顺序 - emotional literacy and regulation sequence.
• 反思式选择能力 - self-knowledge through experiments, feedback, and future direction.
• 智识诚实复盘 - prediction review and belief updating in investing and team learning.
• 非算法能力 - broader AI-era frame for judgment, connection, self-definition, and openness.
• 王兴 and Meituan - long-horizon and concentrated-conviction investing examples discussed by Yu Hong.

Contradictions

• No direct contradiction with existing wiki content was found. The episode reinforces 非算法能力 while adding a more explicit social-emotional curriculum and practice sequence.
• The happiness percentage breakdown, claims about school value-add, neural-pathway effects, university credential decline, and AI reducing knowledge-learning time are presented orally without full research citations in the supplied source and remain source-scoped.