筛选结果
113 篇排序
1:05:22EN
Unsupervised Learning: With Jacob Effron播客Build First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of Agents主持 Jacob EffronHarrison Chase explains how LangChain grew from an orchestration layer into LangSmith and LangGraph, why evaluation datasets force product clarity, and why reliable agents look more like state machines than autonomous loops.
56:20EN
No Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Biohub's Bet: Building Open AI World Models of Biology From Proteins Up to Cells主持 Sarah Guo, Elad GilMark Zuckerberg, Priscilla Chan and Alex Rives explain why Biohub pairs a frontier AI lab with frontier wet-lab biology, and why it releases tools like ESMFold2 as open source.
1:11:06ENUnsupervised Learning: With Jacob Effron播客Replit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software Creators主持 Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.
40:00ENUnsupervised Learning: With Jacob Effron播客The Winds of Change: How Mistral Plans to Win the Open-Model Era主持 Jacob EffronArthur Mensch explains Mistral's open-source strategy, enterprise distribution, model research, and views on AI regulation and sovereignty.
1:12:15ENUnsupervised Learning: With Jacob Effron播客The Open-Model Vibe Check: China, Containment, and the Data Moat主持 Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.
1:03:25EN
Lex Fridman播客Theano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Math主持 Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.
50:23ENUnsupervised Learning: With Jacob Effron播客OpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrives主持 Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.
1:34:27EN → 简体中文
Lenny's Podcast播客 · 2 人对谈开源是这一代人的自由问题：Matt Mullenweg 谈 Llama、WP Engine 和 fort 的权利嘉宾 Matt Mullenweg · 主持 Lenny RachitskyWordPress 联合创始人、Automattic 首席执行官 Matt Mullenweg 向 Lenny Rachitsky 讲述开源哲学、与 WP Engine 的冲突，以及他如何看待 AI、社区和收购。
1:02:06ENLex Fridman播客Learning TensorFlow Hands-On: From a Mystery Line to Handwritten Digits主持 Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.
33:31ENNo Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Open Source Catches Up, Regulation Can Wait: Sarah Guo and Elad Gil Answer Listener Questions主持 Sarah Guo, Elad GilTwo AI investors cover open-source models, autonomous agents, whether to regulate AI, where startups can win, and why healthcare innovation is so hard.
1:47:58EN → 简体中文Lenny's Podcast播客 · 3 人对谈让意见不合的人达成共识：Community Notes 怎样做出可信的事实核查嘉宾 Keith Coleman, Jay Baxter · 主持 Lenny RachitskyCommunity Notes 产品负责人 Keith Coleman 和创始机器学习工程师 Jay Baxter 讲述这套算法如何运转、一支极小的团队如何把它做出来，以及它为何能在 Twitter 和 X 的四任领导者手里活下来。