EO - What you must know before AGI arrives | Carnegie Mellon University Po-Shen Loh
发布时间:2026-02-03 14:01:12
原节目
Po Shen Loh,卡内基梅隆大学杰出的数学教授兼社会企业家,在一个人工智能飞速发展的时代,分享了他对教育和人类潜力的引人深思的愿景。他认为,随着人工智能的创造力和解决问题能力(正如其解决复杂的国际数学奥林匹克竞赛题目的能力所展现的那样)很快将超越人类能力,人类作为地球“顶级物种”的时代即将结束。
Loh警告不要过度依赖人工智能的弊端,尤其是在学生群体中。他强调了学生利用人工智能完成作业等任务的危险性,认为这无异于“开车行驶一英里去锻炼”——它绕过了培养逻辑思维至关重要的学习过程。人工智能,特别是大型语言模型,擅长的是*语言*模式,而不一定是真正的*思想*。如果孩子们丧失了批判性思考和综合自身想法的能力,他们就有可能变得依赖他人并容易受到影响。
为了在这个新环境中蓬勃发展,Loh强调了基础技能的关键重要性:阅读、写作、沟通和逻辑。他倡导教育理念的转变,从仅仅“做作业”转向“批改作业”,这意味着学生必须学会批判性地评估信息并形成自己的思维方式,而不仅仅是记忆答案。他感叹现代应试教育产业用死记硬背取代了真正的智力创造,扼杀了思维的灵活性。
Loh的个人经历,从纯粹的数学竞赛到意识到持续竞争的空虚感,引导他形成了一种新哲学:即从“让一大群人快乐”中寻找乐趣和成功。这种理念推动了他的教育事业,一个被设计成“三赢局面”的“生态系统”。它连接了寻求学习数学的学生、数学能力强的个人(他们希望培养情商),以及需要灵活工作的戏剧学生。受他自己即兴喜剧课程的启发,他意识到戏剧专业人士可以辅导高中生,在一个引人入胜的“好莱坞品质”环境中,传授宝贵的沟通和思维技能。他的项目旨在惠及数百万人,专注于特定的数学主题(代数、几何、组合学、数论),这些主题并非为了死记硬背而选,而是为了培养学生“生成自己想法”并最终“学会学习任何东西”的能力。
展望未来,Loh提出,最重要的人类技能将是“为他人创造价值并带来喜悦”的能力。随着人工智能处理更多任务,真实的协作、同理心以及通过理解不同视角来“模拟世界”的能力,将对生存和机遇至关重要。他自己使用人工智能并非为了外包思考,而是为了*增强自己的理解*和逻辑推理能力,正如他对纳什维尔音乐场景的研究所示。
他的核心使命是培养“自主的人类思维”,或者说“深思熟虑”。他担心人类对专注和批判性思维的兴趣下降,这种下降因科技而加剧。他强调创造力和自我表达,即融入“你自己的独特视角”,对充实的生活至关重要。此外,失去推理能力使个人容易受到欺骗,尤其是在面对看似“有说服力”的人工智能时。
Loh强调了人工智能固有的偏见以及少数供应商提供的有限视角。他敦促人们积极寻求多样化的新闻和观点(例如,CNN和福克斯新闻),以批判性地评估信息并辨别其背后目的,因为“每个人都有自己的目的”。他最后强调了现实世界互动和同理心的必要性,以真正理解人们的需求并创造价值,借鉴了他从公园讲座到贫困学校教学的经验。他观察到,这种直接的接触揭示了尚未开发的人类潜力,就像那些没有接触过技术的孩子所展现出的独创性创造力。
Po Shen Loh, a distinguished math professor at Carnegie Mellon University and a social entrepreneur, shares his compelling vision for education and human potential in an era dominated by rapidly advancing Artificial Intelligence. He believes humanity is nearing the end of its time as the planet's "top species," as AI's creativity and problem-solving capabilities, as demonstrated by its ability to solve complex International Math Olympiad problems, will soon surpass human abilities.
Loh cautions against the pitfalls of over-reliance on AI, especially among students. He highlights the danger of using AI for tasks like writing homework, arguing it's akin to "driving a car one mile for exercise" – it bypasses the learning process crucial for developing logical thinking. AI, particularly Large Language Models, excels at *language* patterns, not necessarily genuine *thought*. If children lose the ability to think critically and synthesize their own ideas, they risk becoming dependent and easily influenced.
To thrive in this new landscape, Loh emphasizes the critical importance of foundational skills: reading, writing, communication, and logic. He advocates for a shift in educational philosophy from merely "doing homework" to "grading homework," meaning students must learn to critically evaluate information and develop their own ways of thinking, rather than just memorizing answers. He laments how the modern test preparation industry has replaced genuine intellectual invention with rote memorization, stifling mental flexibility.
Loh's personal journey, from pure math competition to realizing the unfulfillment of constant rivalry, led him to a new philosophy: finding joy and success in "making a bunch of other people happy." This ethos drives his educational venture, an "ecosystem" designed as a "win-win-win situation." It connects students seeking to learn math, strong math individuals looking to build emotional intelligence (EQ), and drama students needing flexible work. Inspired by his own improv comedy classes, he realized drama professionals could coach high schoolers, teaching invaluable communication and thinking skills in an engaging, "Hollywood quality" environment. His program, which aims to reach millions, focuses on specific math topics (algebra, geometry, combinatorics, number theory) chosen not for rote learning but to cultivate the ability to "generate their own idea" and ultimately "learn anything."
Looking ahead, Loh posits that the most vital human skill will be the ability to "create value and delight in other people." As AI handles more tasks, authentic collaboration, empathy, and the capacity to "simulate the world" by understanding diverse perspectives will be crucial for survival and opportunity. He uses AI himself not to outsource thinking, but to *enhance his own understanding* and logical reasoning, as seen in his research into Nashville's music scene.
His core mission is fostering "autonomous human thinking," or "thoughtfulness." He worries about humanity's decreasing interest in concentration and critical thought, exacerbated by technology. He stresses that creativity and self-expression, injecting "your own twist on things," are essential for a fulfilling life. Furthermore, losing the ability to reason makes individuals vulnerable to deception, especially from seemingly "convincing" AI.
Loh highlights the inherent biases in AI and the limited viewpoints offered by a few providers. He urges people to actively seek diverse news and perspectives (e.g., both CNN and Fox News) to critically evaluate information and discern agendas, as "everyone has an agenda." He concludes by underscoring the necessity of real-world interaction and empathy to genuinely understand people's needs and create value, drawing on his experiences from public park talks to teaching in disadvantaged schools. This direct engagement, he observes, reveals untapped human potential, like the ingenious creativity of children without access to technology.