Replit CEO Amjad Masad on What Young People Should Learn in the AI Era

以下是内容的中文翻译： 这次对话深入探讨了年轻人在社会中的根本作用：作为“异端分子”，他们质疑根深蒂固的信仰并推动创新。发言者们担忧，如今的大学环境往往扼杀了这种固有的好奇心，“将他们任何的外部想法都扼杀掉”，并规定了一条可能与快速变化的世界不符的道路。他们主张一种鼓励探索、“支线任务”和“古怪”项目的教育模式，相信这些能带来“超乎寻常的惊人”成果。 对传统大学的批判集中在其规定性、过时的课程、严格的出勤要求以及对分数和考试的依赖上。这种结构被认为有害于培养创造力和实践技能。相反，理想的大学应该是非规定性的，提供多样化的学习路径，并让学生自由追求他们的兴趣，就像史蒂夫·乔布斯学习书法，后来影响了Mac设计一样。它应该为学生提供空间和资源，让他们“疯狂地研究”自己的想法，而不必担心受到学业惩罚，从而培养“清晰的头脑”和“第一性原理思维”，鼓励他们挑战现有规范。 讨论强调了人工智能和新技术的变革性影响，称之为对行业和教育的“彻底重置”。这种技术转变使得高度定制化的项目式学习成为可能，学生通过实践而非仅仅上课来学习。人工智能工具可以有效地个性化课程大纲，让学生在有信心和机构支持的情况下追求他们的热情。他们认为，项目式学习应该成为标准，将知识获取与其实际用途直接联系起来，并激励“务实型”的人。 对话对年轻人职业选择中的“过早优化”提出了警告，尤其是在创业领域。发言者们批评年轻人过早筹集大量资金的趋势，这往往是出于嫉妒或掠夺性风投（VC）的策略，导致他们致力于自己并非真正热衷的想法。他们提出了一个折衷方案：一个两年的探索期，没有长达十年创业的压力，也没有传统大学的僵化。这允许内在动机和想法自然发展，按自己的方式获得“引力”。 除了技术技能，对话还强调了培养求知欲和个人成长的重要性。发言者们分享了他们在创造和探索之间徘徊的经历，看似随意的兴趣（如国际象棋）却能带来重要的技术洞察（如训练LLM用于机器学习）。他们提倡“倾听内心的冲动”并追随自然的好奇心。“问题制造者”或界限测试者（如马克·扎克伯格的早期项目）的概念被重新定义：教育环境不应惩罚，而应将这些驱动力引导到富有成效的“沙盒”或“悬赏计划”中，为社会利益（例如网络安全）重新利用人才。 最后，讨论深入探讨了价值观、道德的培养以及“适应良好成年人”的塑造。尽管承认硅谷等地方“过度以职业为导向”的性质，但他们认为，由于其“正和、高信任度的生态系统”，它也能培养出“了不起的人”。他们强调人际交往能力、责任感以及超越封闭技术圈子与更广阔世界互动的重要性。他们主张在快速变化的世界中，倡导适应性的“演进原则”，而非僵化的哲学。最终，让他们对年轻人才感到鼓舞的是，对一个真正感兴趣的领域进行深入而持久的探索，结合逆向思维和出色、真诚的人际交往能力——即在追求非传统道路的同时，也能“讨人喜欢”并积极参与的能力。

The conversation delves into the fundamental utility of young people in society: to be "heretics" who question deeply held beliefs and drive innovation. The speakers express concern that today's college environment often stifles this inherent curiosity, "beating any outside thought out of them" and prescribing a path that may not align with the rapidly changing world. They advocate for an educational model that fosters exploration, "side quests," and "oddball" projects, believing these can lead to "super amazing" outcomes. The critique of traditional college centers on its prescriptive nature, outdated curriculum, rigid attendance requirements, and reliance on grades and tests. This structure is seen as detrimental to nurturing creativity and practical skills. Instead, an ideal college would be non-prescriptive, offering diverse learning paths and the freedom for students to pursue their interests, much like Steve Jobs's experience with calligraphy that later influenced Mac design. It should provide space and resources for students to "maniacally work" on their ideas without fear of academic penalty, cultivating "clear minds" and "first principle mindsets" that are encouraged to challenge existing norms. The discussion highlights the transformative impact of AI and new technologies, describing it as a "complete reset" for industries and education. This technological shift enables highly customized, project-based learning, where students learn by building rather than simply taking classes. AI tools can effectively personalize syllabi, freeing students to pursue their passions with confidence and institutional support. Project-based learning, they argue, should be the standard, directly linking knowledge acquisition to its real-world utility and motivating "pragmatically minded" individuals. A caution is raised against "premature optimization" in young people's career choices, particularly in the startup world. The speakers criticize the trend of young individuals raising significant capital too early, often driven by envy or predatory VC practices, leading to commitments to ideas they aren't truly passionate about. They propose a middle ground: a two-year exploratory period without the pressure of a decade-long startup commitment or the rigidity of traditional college. This allows for intrinsic motivation and ideas to develop organically, gaining "gravity" on their own terms. Beyond technical skills, the conversation emphasizes the importance of cultivating intellectual curiosity and personal growth. The speakers share their own experiences of oscillating between building and exploring, with seemingly random interests (like chess) leading to significant technological insights (like training LLMs for machine learning). They advocate for "listening to the itch" and following natural curiosities. The concept of "troublemakers" or boundary-testers (like Mark Zuckerberg's early projects) is reframed: instead of punishment, educational environments should channel such drives into productive "sandboxes" or "bounty programs," repurposing talent for societal benefit (e.g., cybersecurity). Finally, the discussion delves into the cultivation of values, morals, and the development of "well-adjusted adults." While acknowledging the "hyper-career-oriented" nature of places like Silicon Valley, they argue it can also foster "amazing human beings" due to its "positive sum, high trust ecosystem." They stress the importance of interpersonal skills, a sense of responsibility, and the ability to engage with the broader world beyond insular tech circles. They advocate for adaptable "evolving principles" in a rapidly changing world, rather than rigid philosophies. Ultimately, what inspires them in young talent is a deep, persistent dive into an area of genuine interest, combined with contrarian opinions and excellent, authentic interpersonal skills—the ability to "be likable" and engaged while also pursuing unconventional paths.