
The Godmother of AI Reveals What Comes Next | 4K
AI 教母李飞飞:聊天机器人之后,AI 要学会理解真实世界
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【AI 前沿】李飞飞押注世界模型:大语言模型之后,AI 的下一个前沿在哪里? 本片中,主持人 Emily Chang 与被誉为「AI 教母」的李飞飞边散步边对谈。李飞飞回顾了成都童年、移民美国,以及创建 ImageNet、推动现代 AI 革命的经历。她解释了自己创办 World Labs、押注「世界模型」的原因:仅靠语言无法让 AI 走进物理世界。她还以首款产品 Marble 说明渲染、模拟与规划三类能力。对谈也涉及机器人、炒作质疑、公众焦虑和 AI 治理。这期内容能帮助读者看清 LLM 之后的技术方向,也能听到一位科学家以人为本的冷静判断。 🎙️ 主讲人介绍 Emily Chang:本期节目的主持人与采访者,同时担任旁白,串联介绍李飞飞的生平、ImageNet 与 World Labs 的发展历程。 李飞飞(Fei-Fei Li):AI 先驱,被称为「AI 教母」。她于 2006 年创建 ImageNet,推动了现代 AI 革命,曾参与斯坦福 AI 研究院工作并为政策提供咨询。2024 年她创办 World Labs,公司已融资十亿美元。 核心议题:ImageNet 与现代 AI 的黄金配方、世界模型与空间智能、World Labs 与 3D 世界生成产品 Marble、机器人革命与世界模型竞争、公众情绪与基于科学的 AI 治理、对 AI 未来的乐观与人文关怀。 关键词:李飞飞、世界模型、空间智能、ImageNet、World Labs、AI 治理
章节 1:「AI教母」李飞飞:从成都少女到押注世界模型
📝 本节摘要:
本章随李飞飞在公园边散步边谈。她以 ImageNet 推动现代 AI 革命,被称为「AI教母」,如今创办 World Labs,押注能预测真实世界走向的「世界模型」,并批评 AI 领袖过多谈论取代人类。她回顾了在成都随父亲亲近自然的童年、少年移民美国的艰辛、在普林斯顿与加州理工的求学,以及 AI 尚属冷门时纯粹出于好奇的研究岁月,并解释了机器视觉与人类视觉和空间智能的关系。
[原文] [Emily Chang]: I hear you love walking talks.
[译文] [Emily Chang]: 听说你很喜欢边走边聊。
[原文] [Fei-Fei Li]: Yes, because we sit too much.
[译文] [Fei-Fei Li]: 是的,因为我们坐得太多了。
[原文] [Fei-Fei Li]: Yeah, and also our company is just next to this park, so it's great.
[译文] [Fei-Fei Li]: 对,而且我们公司就在这个公园旁边,所以特别方便。
[原文] [Emily Chang]: Is it all AI talk all the time here?
[译文] [Emily Chang]: 在这儿是不是时时刻刻都在聊 AI?
[原文] [Fei-Fei Li]: I don't know other people's talk, but I talk AI
[译文] [Fei-Fei Li]: 别人聊什么我不知道,但我是一直在聊 AI,
[原文] [Fei-Fei Li]: all the time. But that's the only thing I know.
[译文] [Fei-Fei Li]: 无时无刻不在聊。不过这也是我唯一懂的东西。
[原文] [Emily Chang]: Fei-Fei Li is a giant in the field of computer vision, a branch of AI dedicated to teaching machines to see. She made a breakthrough with ImageNet, a visual library that sparked the modern AI revolution, earning her the title "Godmother of AI." And she's been a pioneer at AI's center ever since, as a Stanford professor, a Google executive, an advisor to US presidents, and a relentless advocate for AI that serves people.
[译文] [Emily Chang]: 李飞飞是计算机视觉领域的巨擘——这是 AI 的一个分支,致力于教会机器「看见」。她凭借 ImageNet 取得突破,这个视觉数据库点燃了现代 AI 革命,也让她获得了「AI教母」的称号。此后她一直站在 AI 的中心开拓前行:做过斯坦福教授、谷歌高管、美国总统的顾问,并始终不遗余力地倡导以人为本、服务于人的 AI。
[原文] [Fei-Fei Li]: I feel the leaders of AI are not talking enough about empowering humanity. They're talking too much about replacing humanity, replacing jobs.
[译文] [Fei-Fei Li]: 我觉得 AI 领域的领袖们谈「赋能人类」谈得太少了,反而太多地在谈取代人类、取代工作。
[原文] [Emily Chang]: Now, she's adding startup co-founder to her star resume.
[译文] [Emily Chang]: 如今,她又在自己星光熠熠的履历上添了一笔:创业公司联合创始人。
[原文] [Emily Chang]: What's it like running your own shop?
[译文] [Emily Chang]: 自己当家做主是什么感觉?
[原文] [Fei-Fei Li]: I feel like a tiger mom.
[译文] [Fei-Fei Li]: 我感觉自己像个虎妈。
[原文] [Emily Chang]: While the rest of the AI world doubles down on large language models like ChatGPT and Claude, Li is betting on a new frontier, world models. She's building AI that aims to predict what happens next in the real world, not just the next word in a sentence.
[译文] [Emily Chang]: 当 AI 界的其他人都在加码 ChatGPT、Claude 这样的大语言模型时,李飞飞押注的是一个新前沿——世界模型(world models)。她正在打造的 AI,目标是预测真实世界中接下来会发生什么,而不仅仅是句子里的下一个词。
[原文] [Emily Chang]: So, what can world models do ultimately that LLMs will never be able to?
[译文] [Emily Chang]: 那么,世界模型最终能做到哪些大语言模型(LLM)永远做不到的事?
[原文] [Fei-Fei Li]: Can words put out fires?
[译文] [Fei-Fei Li]: 文字能灭火吗?
[原文] [Fei-Fei Li]: Can words cook an omelet?
[译文] [Fei-Fei Li]: 文字能煎个蛋卷吗?
[原文] [Emily Chang]: Li and her startup, World Labs, is competing in a crowded field of rivals, all making the same bet, that world models are the next big leap in AI.
[译文] [Emily Chang]: 李飞飞和她的创业公司 World Labs 正身处一个对手云集的赛道,大家下的是同一个赌注:世界模型将是 AI 的下一次重大飞跃。
[原文] [Emily Chang]: Did you ever imagine AI would be this big?
[译文] [Emily Chang]: 你曾想象过 AI 会变得这么重要吗?
[原文] [Fei-Fei Li]: Have I imagined that entire civilization is going to be redefined by AI, the cultural shifts, the geopolitical landscape? I would not have imagined that.
[译文] [Fei-Fei Li]: 我有没有想过整个文明会被 AI 重新定义,包括文化的变迁、地缘政治的格局?这我是想象不到的。
[原文] [Emily Chang]: Before she became a leading AI scientist, Li was just a curious kid looking at the world.
[译文] [Emily Chang]: 在成为顶尖 AI 科学家之前,李飞飞只是一个对世界充满好奇的孩子。
[原文] [Emily Chang]: What was young Fei-Fei like as a kid?
[译文] [Emily Chang]: 小时候的飞飞是什么样的?
[原文] [Fei-Fei Li]: It was '80s and '90s in China. My city was Chengdu. My dad is quite a curious soul about nature, so I got quite a dosage of chasing after bugs and running after puppies and going to the mountains to draw and sketch with my dad. And, you know, reading,
[译文] [Fei-Fei Li]: 那是八九十年代的中国,我生活在成都。我爸爸对大自然非常好奇,所以我没少跟着他追虫子、追小狗,还跟他一起去山里画画、写生。当然,还有读书,
[原文] [Emily Chang]: cutting your hair short, loving aerospace and physics. Did you see yourself as a rebel?
[译文] [Emily Chang]: 剪短发,热爱航天和物理。你觉得自己是个叛逆的人吗?
[原文] [Fei-Fei Li]: As a kid, right? You're preteen, you almost have to be a rebel just because you want to make a statement for yourself. But, the love of nature and science and physics, the love of aerospace and outer space, those are part of my identity.
[译文] [Fei-Fei Li]: 小孩子嘛,对吧?十来岁的时候,你几乎必然会叛逆,因为你想彰显自我。但对自然、科学和物理的热爱,对航天和外太空的热爱,那都是我身份认同的一部分。
[原文] [Emily Chang]: You emigrated from China to the US in the '90s.
[译文] [Emily Chang]: 你在九十年代从中国移民到了美国。
[原文] [Fei-Fei Li]: Yeah.
[译文] [Fei-Fei Li]: 对。
[原文] [Emily Chang]: What was it like coming here as a teenager back then?
[译文] [Emily Chang]: 当年作为一个青少年来到这里,是什么感受?
[原文] [Fei-Fei Li]: That was tough. Shifting the whole scene, culture, language, life as a teenager is perhaps one of the hardest times 'cause you're finding who you are and then suddenly, you don't even know the world, right?
[译文] [Fei-Fei Li]: 那很艰难。整个环境、文化、语言全都变了。青少年时期也许本来就是人生最难的阶段之一,因为你正在寻找自己是谁,结果突然之间,你连这个世界都不认识了,对吧?
[原文] [Emily Chang]: Li learned English, finished high school, studied physics at Princeton while running the family dry cleaning business on weekends,
[译文] [Emily Chang]: 李飞飞学会了英语,读完高中,进入普林斯顿学习物理,周末还要打理家里的干洗店,
[原文] [Emily Chang]: and followed her dreams to Caltech, where she earned her PhD and became a computer scientist.
[译文] [Emily Chang]: 之后又追随梦想来到加州理工学院,在那里获得博士学位,成为一名计算机科学家。
[原文] [Emily Chang]: You've been studying artificial intelligence since
[译文] [Emily Chang]: 你研究人工智能,是从
[原文] [Emily Chang]: it was super niche.
[译文] [Emily Chang]: 它还非常冷门的时候就开始了。
[原文] [Fei-Fei Li]: Yes.
[译文] [Fei-Fei Li]: 是的。
[原文] [Emily Chang]: What was the field like back then?
[译文] [Emily Chang]: 那时候这个领域是什么样子?
[原文] [Fei-Fei Li]: That was a beautiful period. It was really pure curiosity because there was no money, there was no power, there was no fanfare, there's no hype. We were there just as the same as scientists look into the sky, go down in the ocean. I was deeply curious.
[译文] [Fei-Fei Li]: 那是一段美好的时光,完全出于纯粹的好奇心,因为那时没有钱,没有权力,没有喧嚣,也没有炒作。我们投身其中,就像科学家仰望星空、潜入深海一样。我当时充满了好奇。
[原文] [Emily Chang]: How does AI see and how is it different from how you or I see?
[译文] [Emily Chang]: AI 是怎么「看」的?它和你我的「看」有什么不同?
[原文] [Fei-Fei Li]: We use our eyes to drive the sensory system to turn that into signals in the brain and the brain does computing. It's not that different from computers. We need to learn the pattern of the world and understand objects, colors, environments. A lot of seeing is preparing humans to act. You wake up this morning, you hug your kids, you go downstairs, prepare some breakfast, grab your key, drive to your work. Everything I've described so far, you've done that with your spatial intelligence.
[译文] [Fei-Fei Li]: 我们用眼睛驱动感官系统,把看到的东西转化成大脑里的信号,再由大脑进行计算。这和计算机其实没有太大区别。我们需要学习世界的规律,理解物体、颜色和环境。「看」在很大程度上是在为人的行动做准备。你今早醒来,抱抱孩子,下楼准备早餐,拿上钥匙,开车去上班。我刚才描述的每一件事,你都是靠自己的空间智能完成的。
[原文] [Emily Chang]: So, it's got to be hard to get computers to do that.
[译文] [Emily Chang]: 所以,要让计算机做到这些,一定很难。
- 章节 2:ImageNet 的突破与李飞飞的创业新征程
- 章节 3:什么是世界模型:从语言走向空间智能
- 章节 4:李飞飞谈机器人、世界模型竞争与炒作之争
- 章节 5:公众情绪与政策:美国如何面对AI变革
- 章节 6:李飞飞:为人类发声,AI治理须扎根科学
- 章节 7:李飞飞:人类历史终将走向善意,我的希望在人类
正在加载后续章节…




