Founder of Shengda Chen Tianqiao: Education in the AI Era Should Shift to Choices and Responsibility
Chen Tianqiao, founder of Shengda and an investor in brain science and AI, stated that if AI can solve almost all problems, education should focus more on choosing worthwhile goals and taking responsibility for real-world consequences.
He pointed out that education is part of the natural process of humanity: discovering problems, seeking solutions, implementing practices, facing results, and learning from them. Modern education, however, concentrates on the problem-solving phase, teaching knowledge and skills and measuring completion, assuming that the stronger the problem-solving ability, the more value can be created.
Chen Tianqiao believes AI is changing this assumption. When powerful problem-solving abilities are available to everyone, education should spend more time on both ends of the process: deciding what is worth pursuing and taking responsibility for what happens in reality. He proposed "Human Agency": I choose, I take responsibility, therefore I exist.
He cited Elon Musk as an example, stating that he does not personally possess all the knowledge required to build rockets, electric vehicles, or AI systems, but instead makes consequential decisions, takes responsibility, and mobilizes external intelligence to execute, representing a "super individual" who can mobilize capabilities far beyond his own knowledge.
AI may not enable everyone to become another Musk, but it could allow more people to attempt projects that previously only similar figures could drive. This changes the motivation for learning: young people learn not just to surpass others in tasks that AI might perform better, but because they now have the ability to pursue ideas and make changes that previous generations could only dream of.
Chen Tianqiao previously accumulated wealth through Shengda Games and later shifted to brain science and AI research, investing in areas like "discovery intelligence" and publicly discussing the impact of AI on human agency.
Market Mechanism: Chen Tianqiao publicly shifts the focus of education from problem-solving skills to choices and responsibility, driven by the expansion of AI capabilities that diminish the value of traditional skills; attention shifts from knowledge transfer and skill training to cultivating agency, benefiting individuals who can define goals and bear consequences (gaining greater leverage), while traditional educational models that only optimize problem-solving abilities face pressure for value reassessment.
Source: Public Information
ABAB AI Insight
Chen Tianqiao transitions from founder of Shengda Games to investor in brain science and AI, focusing on human consciousness and discovery intelligence. His post suggests that education in the AI era should shift from concentrating on problem-solving to choosing worthwhile goals and taking responsibility for real-world consequences, defining Human Agency as "I choose, I take responsibility, therefore I exist."
In terms of capital and pathways, he describes Elon Musk as a super individual who can mobilize external intelligence without needing to master all knowledge personally, illustrating that AI may lower the barriers to initiating large projects, allowing more people to attempt paths that previously required special abilities. This aligns with his own journey of accumulating capital in the gaming industry before investing in AI and brain science, emphasizing decision-making and responsibility over mere knowledge accumulation.
This is analogous to historical discussions where, after the proliferation of technological tools, the focus of education shifted from skill operation to goal setting and responsibility, or cases of entrepreneurs achieving projects beyond their personal knowledge through integrating external capabilities; currently, we are in a phase where AI commoditizes problem-solving abilities, making individual agency a scarce resource.
Essentially, this represents a reconstruction of education and capabilities under technological substitution: as AI takes on problem-solving at scale, human value shifts to defining goals and bearing irreversible consequences, with the mechanism being the scarcity moving from knowledge and skills to choices and responsibilities, making the super individual model more accessible to more people, thereby changing learning motivations and educational priorities.
ABAB News · Cognitive Law
In the process of AI solving, education shifts to the ends of choices and responsibilities.
I choose, I take responsibility, therefore I exist.
Super individuals rely on mobilizing external intelligence rather than personally mastering all knowledge.