筛选结果
66 篇排序
26:41EN → 简体中文
Latent Space· 2026年10月22日播客 · 2 人对谈Anekha Sokhal 谈 Moshi：给大宗商品交易员用的推荐引擎嘉宾 Anekha Sokhal · 主持 swyxMoshi 创始人向 swyx 讲述她会怎样重做交易员的工作流：把市场数据、内部文件和互相打架的信源连在一起，再把人们本来会错过的二阶效应推过来。难的不是仪表盘，是让人真的用起来。
52:27EN → 简体中文
Sequoia Capital· 2026年9月1日播客二十多个警察局拒绝之后，他们做出了一家反网络效应的 AI 公司威斯康星州的一个县有一桩悬案，积压着 300 GB 的材料，而 Peregrine 的创始人至今仍不肯邀功。
34:51EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年8月27日播客 · 2 人对谈Google Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.主持 Sarah Guo, Elad GilEon co-founders Ofir Ehrlich and Gonen Stein argue that models and compute are rented commodities — the only asset enterprises can actually keep is their data.
40:56ENSequoia Capital· 2026年3月10日播客Four of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.
1:04:51EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月1日播客125 million cells took a decade. The next billion takes months主持 Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.
1:18:05EN → 简体中文
Unsupervised Learning: With Jacob Effron· 2025年12月18日播客AI 研究的真正瓶颈是算力，缺的不是点子主持 Jacob EffronNeurIPS 之后，Ari Morcos 和 Rob Toews 与 Jacob Effron 坐下来争论：模型是否遇到平台期、SSI 的保密、OpenAI 的烧钱，以及几项尖锐的 2026 年押注。
48:00ENUnsupervised Learning: With Jacob Effron· 2025年12月15日播客A Two-Second Vote Is Training Models to Be Clickbait主持 Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.
1:32:38ENCognitive Revolution "How AI Changes Everything"· 2025年12月6日播客Polish Is 1% of Frontier Training Data, So Poland Built Its Own Model主持 Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.
39:16ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年11月19日播客 · 2 人对谈500 Gloves, 10 Million Trajectories, and a $10,000 Home Robot主持 Sarah Guo, Elad GilSunday Robotics co-founders Tony Zhao and Cheng Chi map the gap between a scalable imitation-learning recipe and a machine that actually does the dishes.
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.
48:14EN → 简体中文No Priors: AI, Machine Learning, Tech, & Startups· 2025年11月13日播客 · 2 人对谈一款新药要花 20 亿美元、10 年，Benchling 的 CEO 想让 AI 把时间压到 3 年主持 Sarah Guo, Elad Gil大多数药物在第七到第十年失败，那时数亿美元早已投进了临床试验。Sajith Wickramasekara 认为，把东西送上太空，可能已经比让一款新药获批更容易。
1:16:53EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年10月24日播客Karpathy 说今天的模型是“slop”，他的十年时间表听起来仍然很乐观主持 Jacob EffronDatology AI 的 Ari Morcos 与 Radical Ventures 的 Rob Toews 梳理了 Karpathy 的一盆冷水、OpenAI 的交易，以及究竟是谁在为数据中心热潮买单。
1:01:49ENCognitive Revolution "How AI Changes Everything"· 2025年10月2日播客ChatGPT's Co-Creator Left to Put Nature in the Reward Loop主持 Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.
1:22:07ENCognitive Revolution "How AI Changes Everything"· 2025年9月25日播客Every payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%主持 Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.
1:55:02EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2025年8月30日播客每天一百次实验，以及材料领域的“死亡之谷”主持 Nathan LabenzRadical AI 两位联合创始人向 Nathan Labenz 讲述，如何通过前沿模型与自驾实验室组成的闭环，把四十年的材料研发周期压缩到十年以内。
57:52ENUnsupervised Learning: With Jacob Effron· 2025年8月13日播客They Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.主持 Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.
32:59ENNo 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.
1:42:06EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2025年7月8日播客每家前沿实验室每年在数据上花十亿美元，钱究竟花在哪里主持 Nathan LabenzLabelbox 首席执行官 Manu Sharma 谈 150 亿美元的 Scale 交易、强化学习（RL）“训练场”、年收入 25 万美元的 AI 训练师，以及为什么后训练（post-training）如今占去了过去属于预训练（pre-training）的预算。
44:21ENUnsupervised Learning: With Jacob Effron· 2025年6月4日播客Mercor's CEO: Knowledge Work's Next Job Is Writing Evals主持 Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.
40:54ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年4月17日播客 · 2 人对谈Discovery rates collapsed tenfold. KoBold still found a 5% copper deposit主持 Sarah Guo, Elad GilJosh Goldman explains why KoBold Metals treats mineral exploration as an information problem, pairing AI with century-old maps to hunt lithium and copper.
1:43:54ENCognitive Revolution "How AI Changes Everything"· 2025年3月23日播客A Year to Grow a Brain Organoid, an Hour to Simulate It主持 Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.
35:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年3月20日播客 · 2 人对谈Robots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.主持 Sarah Guo, Elad GilPhysical Intelligence’s cofounder tells No Priors why a generalist robot model has to be trained across embodiments, why open-sourcing hardware is a bet against the problem going unsolved, and why humanoids are a little overrated.
32:46ENSequoia Capital· 2025年2月25日播客Don't draw the flowchart: OpenAI's Deep Research team on training agents end to endIsa Fulford and Josh Tobin explain why Deep Research was trained with reinforcement learning on hard browsing tasks instead of a human-written graph of model calls.
57:41EN → 简体中文No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月25日播客 · 2 人对谈一亿个细胞，四个人，三天：生物学的 ImageNet 时刻主持 Sarah Guo, Elad GilVevo Therapeutics 和 Arc Institute 在同一周开源了 Tahoe-100M，以及一个包含 2.3 亿个细胞的图谱，并认为生物学的下一个语言模型是虚拟细胞（virtual cell），而不只是蛋白质折叠模型。加载更多已显示 24 篇，共 66 篇