筛选结果
9 篇排序
2:28:14EN → 简体中文自然有结构:Demis Hassabis 谈可学习的现实与 AGI嘉宾 Demis Hassabis · 主持 Lex Fridman谷歌 DeepMind 的 CEO 认为,经过进化塑造的系统可以用经典学习方法来建模,而可交互的世界模型正处在通往 AGI 的路上。
2:47:17ENIf You Want Human-Level AI, Abandon Generative Models嘉宾 Yann Lecun · 主持 Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.
1:04:38ENHundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the Wrinkles嘉宾 Mark Zuckerberg · 主持 Lex FridmanLex Fridman sat in a dark room in Austin wearing a Quest headset; Mark Zuckerberg sat in another conference room, also wearing one, and it did not feel like a video call.
2:36:21EN → 简体中文笑容不等于快乐:Rana el Kaliouby 谈情感 AI 与共情危机嘉宾 Rana el Kaliouby · 主持 Lex FridmanAffectiva 创始人、Smart Eye 副 CEO 与 Lex Fridman 聊到,如何教机器读懂人脸、感知车内的驾驶员,以及她最自豪的是公司培养出来的人。
2:30:30ENThe Fallacy of the Successful First Step嘉宾 Ishan Misra · 主持 Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.
1:00:11ENRosalind Picard: Clippy Never Saw You Frown, and That's the Whole Problem嘉宾 Rosalind Picard · 主持 Lex FridmanThe MIT professor who named affective computing on emotion recognition, privacy, seizure-detecting wearables, and why a device you can take off is safer than a camera you cannot see.
1:31:52ENFrom Phonemes to CTC: How Deep Learning Rebuilt Speech Recognition主持 Lex FridmanBaidu's Adam Coates walks through the traditional speech pipeline, the CTC-based end-to-end engine that replaced much of it, and what it takes to scale and deploy it.
15:43ENInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Study嘉宾 MIT-AVT · 主持 Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
11:29ENWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seen主持 Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.









