筛选结果
19 篇排序
53:44EN
Sequoia Capital· 2026年8月18日播客The Biggest Bug in Today’s Models Is That the Weights Never ChangeTuring Award winner Rich Sutton and Khurram Javed founded Oak Lab to build agents that keep learning after they ship — and they call synthetic data a big mistake.
38:45ENSequoia Capital· 2026年6月16日播客The 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.
41:36ENSequoia Capital· 2025年11月18日播客Four Months to Drive Tokyo: How Wayve Bet the Company on One End-to-End NetworkWayve CEO Alex Kendall tells Sequoia’s Training Data why AV 2.0 ditches HD maps and hand-written stacks for a foundation model that can adapt to a new car and a new country in weeks.
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月24日播客 · 2 人对谈A Hundred People, a Billion in Revenue, and Zero Venture Money主持 Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.
45:21ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年6月17日播客 · 2 人对谈Applied Intuition Is Worth $15 Billion, Hasn't Spent Its Capital, and Wants to Be the OS for Cars and Tanks主持 Sarah Guo, Elad GilOn No Priors, Qasar Younis and Peter Ludwig explain the Microsoft playbook for vehicles, why they waited for autonomy techniques to converge, and why Waymo's business model is the question that follows the demo.
38:25ENSequoia Capital· 2025年5月27日播客A thousand airplanes will never train an AI engineerFormer Airbus CTO Paul Eremenko explains why physical-world engineering still has no coding-AI moment, and how P-1 AI's agent Archie is supposed to get there anyway.
55:40ENSequoia Capital· 2025年4月29日播客To Solve All Diseases, Isomorphic Labs Needs a Half-Dozen AlphaFoldsMax Jaderberg on turning DeepMind's game-playing research into a general AI engine for drug design—and why prediction alone cannot search a 10^60 molecular universe.
51:08EN
Unsupervised Learning: With Jacob Effron· 2025年4月15日播客The Transformer Co-Author Who Says Scaling Hit a Wall主持 Jacob EffronCohere CEO Aidan Gomez tells Redpoint that a $100 million model is still an amnesiac genius, and that enterprise AI money is concentrating in support, research, and the back office.
52:30ENSequoia Capital· 2025年1月28日播客Move 37 looked like a bug. LLMs still need their AlphaZero momentIoannis Antonoglou, from AlphaGo to Reflection AI, on self-play, reliability, and why compute can still buy intelligence.
1:09:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月2日播客30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually Think主持 Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.
39:45ENSequoia Capital· 2024年9月24日播客Harmonic’s Bet: Teach AI Math Directly, and the Riemann Hypothesis Falls by 2029Robinhood’s Vlad Tenev and Harmonic co-founder Tudor Achim tell Sequoia why math is reasoning, why Lean is the verifier, and why they refuse to wait for mathematical skill to emerge from scale.
44:16ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年9月5日播客 · 2 人对谈A perfect demo is ten years from a product you can pay for主持 Sarah Guo, Elad GilAndrej Karpathy uses Waymo's decade-long gap, Tesla's software bet, and a new AI course to argue that autonomous intelligence will stall at product and globalization, not at the first impressive clip.
39:00ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年5月22日播客 · 2 人对谈JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.主持 Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.
1:01:39ENCognitive Revolution "How AI Changes Everything"· 2024年4月13日播客GPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?主持 Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.
1:21:50ENCognitive Revolution "How AI Changes Everything"· 2023年11月14日播客A 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.主持 Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.
1:17:09ENCognitive Revolution "How AI Changes Everything"· 2023年9月26日播客GPT-4 as Teacher, GPT-3.5 as Student: A Nine-Tenths Cost Cut and an AI Bundle Nobody Will Start主持 Nathan LabenzNathan Labenz reports that chain-of-thought traces from GPT-4 train a cheaper, faster 3.5, then argues for flooring the app accelerator, tapping the brake on GPT-5, and bundling a hundred AI tools for a hundred dollars.
3:11:35EN → 简体中文
Lex Fridman· 2023年6月21日播客 · 2 人对谈搜索一直是个权宜之计：Marc Andreessen 谈 AI、真相与下一代互联网嘉宾 Marc Andreessen · 主持 Lex FridmanLex Fridman 与 Mosaic 联合创作者、Andreessen Horowitz 创始人对谈，追问未来十年 Google 搜索、浏览器和开源 AI 能否延续下去。
2:00:19ENCognitive Revolution "How AI Changes Everything"· 2023年6月6日播客1.5 Million GPT-4 Fairy Tales Let a 33-Million-Parameter Model Out-Reason GPT-2主持 Nathan LabenzTry this fill-in: Lily likes cats and dogs. She asked her mom for a dog. Mom said no, so she asked for a…
1:14:34EN → 简体中文
Lenny's Podcast播客 · 2 人对谈训练模型更像调 bug：Karina Nguyen 如何靠合成数据把 Canvas 做出来嘉宾 Karina Nguyen · 主持 Lenny RachitskyOpenAI 研究员讲述合成数据、评估如何变成产品规格，以及模型变聪明之后，人和产品团队还剩哪些本事。