筛选结果
20 篇排序
4:18:22EN → 简体中文每个周期都重要:解码几乎全网视频的志愿者们嘉宾 FFmpeg · 主持 Lex FridmanLex Fridman 与 Jean-Baptiste Kempf、Kieran Kunhya 谈 FFmpeg、VLC、手写汇编,以及 YouTube、Netflix 和火星车背后那群没有报酬的人。
2:25:58EN → 简体中文通用人工智能(AGI)已经到来,造出一个英伟达却还没有嘉宾 Jensen Huang · 主持 Lex FridmanLex Fridman 与黄仁勋聊了两个半小时,话题涵盖极致协同设计、CUDA、四条规模定律,以及为什么做一家价值 10 亿美元的 AI 公司,比做一家能长久存续的公司更容易。
4:34:10EN → 简体中文Pavel Durov 为十亿人打造了 Telegram,自己却不肯随身带手机嘉宾 Pavel Durov · 主持 Lex Fridman在与 Lex Fridman 长达四个半小时的对话中,这位 Telegram 创始人讲述了自己对自由的理解:从童年时离开苏联,到法国的一间拘留室、一次投毒,再到只有 40 人的工程团队。
5:06:18ENDeepSeek's $5 million training claim and the five-year bet on compute主持 Lex FridmanDylan Patel and Nathan Lambert walk Lex Fridman through DeepSeek-V3 and R1, export controls, TSMC, megaclusters, and who actually makes money in the AI race.
3:08:46EN → 简体中文谁掌握关机开关?George Hotz 谈 tinygrad、开源 AI 与上帝嘉宾 George Hotz · 主持 Lex Fridman这是他第三次做客 Lex Fridman 的播客。comma.ai 和 tiny corp 的创始人主张,算力、智能和关机开关应当留在普通人家里,而不是掌握在少数可信之人手中。
3:34:03ENPython Isn't Finished: Chris Lattner on Mojo and the Hardware Mess嘉宾 Chris Lattner · 主持 Lex FridmanThe LLVM creator returns to Lex Fridman to argue that Python should grow C-like performance instead of forcing people out of the language.
1:09:10ENThe Same Snapdragon That Flies on Mars Powers a Galaxy Phone嘉宾 Cristiano Amon · 主持 Lex FridmanQualcomm CEO Cristiano Amon talks with Lex Fridman about 5G, Snapdragon, cars, the chip shortage, and how to map the border of your own competence.
3:02:00EN → 简体中文维塔利克·布特林放弃了价值数十亿的狗狗币,随后勾勒以太坊的下一个十年嘉宾 Vitalik Buterin · 主持 Lex Fridman在与莱克斯·弗里德曼(Lex Fridman)长达三小时的对谈中,这位以太坊联合创始人讲述了柴犬币的抛售事件、权益证明、Rollup,以及他为什么认为大多数邪恶都源于恐惧。
2:39:15ENCraftsmanship, Graphs and Consciousness: Jim Keller on Building Computers That Think嘉宾 Jim Keller · 主持 Lex FridmanLegendary chip architect Jim Keller talks with Lex Fridman about design philosophy, the future of AI hardware, the human mind and how to live well.
2:46:57ENProgramming Languages Are Bicycles for the Mind嘉宾 Chris Lattner · 主持 Lex FridmanChris Lattner talks with Lex Fridman about Swift, LLVM, RISC-V, and why the next leap in computing is as much a language problem as a silicon one.
1:49:51ENThe Idea Once Called a Devolution Now Powers Almost Every New Chip嘉宾 David Patterson · 主持 Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.
26:02ENMoore’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.
1:47:04ENGustav Söderström on Why Spotify Could Only Be Born in Sweden嘉宾 Gustav Soderstrom · 主持 Lex FridmanLex Fridman talks with Spotify’s chief R&D officer about three-minute songs, 250-millisecond playback, playlist luck, and herding record labels.
1:13:06ENThe Compiler That Got Apple, Google, and Intel to Share a Codebase嘉宾 Chris Lattner · 主持 Lex FridmanChris Lattner walks through LLVM, Clang, Swift, TPU numeric formats, and why compiler work is mostly software engineering.
30:30ENFrom Bitcoin Magazine to Ethereum 2.0: Vitalik Buterin on Building a World Computer主持 Lex FridmanVitalik Buterin traces Ethereum's origin in the Bitcoin community, the governance fights that followed, and the proof-of-stake and sharding upgrades still to come.
1:18:48ENData Movement, Not Math: How to Make Deep Learning Fit on Robots and Phones主持 Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.
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.
1:30:18ENNight Markets and Chip Foundries: A Week in Taiwan with Jensen Huang主持 Lex FridmanLex Fridman follows NVIDIA's CEO through Computex, street food and long chats about Taiwan's tech history, export controls and how to choose business partners.
1:02:06ENLearning 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.
17:19ENFrom Atoms to Data Centers: How a Modern Processor Finds Parallelism in a Serial Program嘉宾 Jim Keller · 主持 Lex FridmanJim Keller walks through the layers of abstraction in computer design, from transistors to out-of-order execution, branch prediction and deterministic answers.









