I learned more about AI from YouTube than Harvard
我从 YouTube 上学到的 AI 知识比在哈佛还多
I'm attending YouTube University for a degree in Practical AI
我正在 YouTube 大学攻读实用 AI 学位
I got my bachelor's degree from Harvard University, but I got all my practical AI knowledge from YouTube University.
我获得了哈佛大学的学士学位，但我所有的实用 AI 知识都来自 YouTube University。
Last weekend, I spent 3.5 hours watching Andrej Karpathy's latest lecture on how LLMs work. It wasn't just the most productive time I've spent online in the past year—it was more valuable than anything I learned in Harvard classrooms.
上周末，我花了 3.5 小时观看了 Andrej Karpathy 关于LLMs如何工作的最新讲座。这不仅是我过去一年在网上度过的最有成效的时光——它比我在哈佛课堂上学到的任何东西都更有价值。
The abundance of free, high-quality knowledge about AI on YouTube is astounding. With a few clicks, I can turn the world's leading AI practitioners into my personal, on-demand tutors.
YouTube 上关于 AI 的免费、高质量知识之丰富令人惊叹。只需几次点击，我就能将世界领先的 AI 从业者变成我个人的按需导师。
My "YouTube University" curriculum reads like a who's who of tech visionaries:
我的“YouTube 大学”课程读起来就像一部科技界名人的名人录：
Learned how LLMs work from world-class AI researchers like Andrej Karpathy
从 Andrej Karpathy 等世界级 AI 研究人员那里学会了LLMs的工作原理Explored AI's impact on the future of work through conversations with Satya Nadella
通过与 Satya Nadella 的对话，探讨了 AI 对未来工作的影响Discovered AI's societal implications through Fei-Fei Li's insights
通过 Fei-Fei Li 的见解发现了 AI 的社会影响Studied how to build startups in the AI era from founders of Perplexity and Harvey
从 Perplexity 和 Harvey 的创始人那里学习了如何在 AI 时代建立初创企业Learned about how AI is revolutionizing coding from the founders of Cursor
从 Cursor 的创始人那里了解到 AI 如何彻底改变编程Absorbed AI-native product design principles from the minds behind NotebookLM and Granola
从 NotebookLM 和 Granola 背后的思想中吸收了 AI 原生产品设计原则Glimpsed the future of AI agents through researchers at OpenAI and Anthropic
通过 OpenAI 和 Anthropic 的研究人员窥见了 AI 智能体的未来…
I used to be perplexed by the popularity of long-form video podcasts—those hour-long interviews with little more visual interest than two talking heads. Who has the patience for that?
我曾经对长篇视频播客的流行感到困惑——那些长达一小时的采访，除了两个人在说话外，几乎没有什么视觉吸引力。谁有耐心看这个呢？
Turns out, I do. Nearly all my practical AI knowledge—and countless "aha" moments—have come from spending undistracted time with these in-depth conversations.
事实证明，我确实如此。我几乎所有的实用 AI 知识——以及无数的“顿悟”时刻——都来自于与这些深入对话的专注时光。
I often enter a state of "flow" while watching these knowledge-dense videos, similar to what I experience when reading a good book. The field of AI is evolving so rapidly that most cutting-edge knowledge hasn't been captured in books yet. These video podcasts fill that gap, becoming the equivalent of essential reading.
我经常在观看这些知识密集的视频时进入一种“心流”状态，类似于阅读一本好书时的体验。AI 领域发展如此迅速，以至于大多数前沿知识尚未被书籍收录。这些视频播客填补了这一空白，成为了相当于必读的材料。
I'm immensely grateful to the creators and educators who share such high-quality content freely online. This culture of open knowledge sharing represents what I love most about Silicon Valley.
我无比感激那些在线免费分享如此高质量内容的创作者和教育者。这种开放知识共享的文化正是我最喜欢硅谷的地方。
When a technological revolution arrives, it resets the playing field: Because everyone needs to learn something new, fancy degrees matter less than curiosity and drive. What you need isn't an elite university acceptance letter—it's an internet connection and the willingness to learn.
当一场技术革命来临时，它会重新设定游戏规则：因为每个人都需要学习新东西，好奇心和动力比光鲜的学位更重要。你需要的不是一封精英大学的录取通知书，而是一根网线和学习的意愿。
The great equalizer of our time isn't just AI itself, but the democratized access to learning about it.
我们这个时代的伟大均衡器不仅仅是 AI 本身，更是关于学习 AI 的民主化途径。
P.S. Here’s a list of the specific YouTube channels that I’ve found to be the most useful in my AI learning journey:
P.S. 以下是我在 AI 学习过程中发现最有用的 YouTube 频道列表：
Shows focused on AI: 专注于 AI 的节目：
Shows focused on broader startup/product building, but often feature AI luminaries as guests:
专注于更广泛的初创公司/产品建设的节目，但经常邀请 AI 领域的知名人士作为嘉宾：
The Peak: 领导力与管理…
But a YouTube degree doesn't get you a job at GGV -- Harvard does. ;)
但是 YouTube 学位并不能让你在 GGV 找到工作——哈佛学位才行。;)
Thank you for sharing! 感谢分享！