筛选结果
127 篇排序
1:13:06EN → 简体中文
Lex Fridman· 2019年5月13日播客 · 2 人对谈让苹果、谷歌和英特尔共用一套代码库的编译器嘉宾 Chris Lattner · 主持 Lex FridmanChris Lattner 讲述了 LLVM、Clang、Swift、TPU 的数值格式，以及为什么编译器工作大多是软件工程。
1:20:09EN → 简体中文Lex Fridman· 2018年11月29日播客 · 2 人对谈Stack Overflow 从来就不是为新手设计的嘉宾 Jeff Atwood · 主持 Lex Fridman在 Stack Overflow 十周年之际，Jeff Atwood 与 Lex Fridman 谈谜题、领导力、Discourse，以及为什么一个软件团队的健康程度，取决于它改动一个词的速度有多快。
1:26:44EN → 简体中文Lex Fridman· 2018年11月22日播客 · 2 人对谈他像养孩子一样养大 Python，然后把它放手交给社区嘉宾 Guido van Rossum · 主持 Lex Fridman2018 年，Guido van Rossum 在与 Lex Fridman 的对谈中，从电子制作套件和生命游戏讲起，一直讲到他辞去“终身仁慈独裁者”的那个周四早晨。
1:14:23EN → 简体中文
Jane Street· 2018年8月24日Cristina Rosu：用 Incr_dom 和 OCaml 构建动态 Web 应用Cristina Rosu · Jane Street从实用角度介绍 Elm 架构、虚拟 DOM 和增量计算，并现场演示计数器应用。
1:06:39EN → 简体中文Jane Street· 2016年3月31日Jane Street 为什么使用 OCamlYaron Minsky · Jane StreetJane Street 的一场演讲解释了函数式编程和静态类型如何帮助构建可靠的交易软件，也探讨了选择较冷门语言的代价。
1:00:51EN → 简体中文
Lenny's Podcast播客 · 2 人对谈微笑着给买家制造痛感：Julia Schottenstein 谈 dbt 如何胜出嘉宾 Julia Schottenstein · 主持 Lenny Rachitsky前 NEA 投资人、现 dbt Cloud 产品负责人解释 dbt 为何赢下现代数据栈，以及并购、定价和开源该怎么做。
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.
23:54ENNo Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Beyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AI主持 Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
1:03:25ENLex 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。
11:59ENLex Fridman播客 · 2 人对谈From a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Be嘉宾 François Chollet · 主持 Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.