筛选结果
73 篇排序
1:29:10EN → 简体中文
Lex Fridman· 2020年2月20日播客 · 2 人对谈Andrew Ng：AI 最难的部分，很少出在算法上嘉宾 Andrew Ng · 主持 Lex Fridman在与 Lex Fridman 的对谈中，Ng 讲述了自己从深夜录制 Coursera 课程，一路走到工厂车间的经历，并认为杂乱的数据、良好的习惯和从小处着手，比炒作更重要。
26:02ENLex Fridman· 2020年2月9日播客Moore’s Law Is Not Dead—It Is a Cascade of S-Curves主持 Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
1:10:19EN
Unsupervised Learning: With Jacob Effron播客The Robot That Folded the Laundry: Physical Intelligence’s Three Frontiers主持 Jacob EffronKarol Hausman and Danny Driess explain how robot foundation models moved from coded primitives to web-scale pretraining, and why performance is now the hard gate.
1:14:59EN → 简体中文
Lenny's Podcast播客Ben Mann：AI 还在加速，对齐却不能等到超级智能到来再做主持 Lenny RachitskyAnthropic 联合创始人谈人才争夺、缩放定律、经济图灵测试、就业冲击、离开 OpenAI、宪法式 AI，以及他对超级智能风险的预测。
1:19:48ENLex Fridman播客Bigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep Learning主持 Lex FridmanIn a 2016 Deep Learning School talk, Andrew Ng distills lessons from leading Baidu's AI team into a workflow for diagnosing models, handling data and building a career.
1:13:40ENUnsupervised Learning: With Jacob Effron播客The Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Moment主持 Jacob EffronVincent, a distinguished engineer at Waymo, explains how foundation models became teachers for self-driving, why the long tail and causality are the real frontier, and where robotics still lacks its generalist proof point.
52:28ENLex Fridman播客 · 2 人对谈Ray Kurzweil on Hierarchies, the Neocortex and Merging with AI嘉宾 Ray Kurzweil · 主持 Lex FridmanIn an MIT AGI course lecture, Kurzweil connects the history of neural networks to his hierarchical theory of the neocortex, language understanding at Google, longevity, jobs and existential risk.