筛选结果
72 篇排序
40:44EN → 简体中文
3Blue1Brown· 2026年10月16日Grant Sanderson：现在是投身数学的最好时机Grant Sanderson, Constantin Kogler · 3Blue1Brown学生担心 AI 已经解决了数学。Grant Sanderson 却认为恰恰相反：即使机器证明定理的能力超过人类，数学这套制度依然有价值，而新人正迎来一个难得的机会，可以参与重塑它。
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月15日播客 · 2 人对谈The Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of Cybersecurity主持 Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.
38:10EN → 简体中文
Google DeepMind· 2026年10月1日从深度伪造到 DNA：SynthID 如何给 AI 加水印Hannah Fry, Pushmeet Kohli, Jeremy Ratcliffe · Google DeepMindHannah Fry 请来 Pushmeet Kohli 和 Jeremy Ratcliffe，讲解 SynthID：一种已用于文本、图像和视频的数学水印，正在延伸到蛋白质序列，好让 DNA 合成公司能把 AI 设计的分子和自然界的分子区分开来。
47:22EN
Sequoia Capital· 2026年8月4日播客From One in a Thousand to 15 Percent: Chai Discovery Treats Drug Design as a Scaling ProblemJoshua Meier and Matthew McPartlon tell Sequoia’s Training Data why antibody design is an engineering problem, not a bespoke science, and why they sell a molecular CAD suite instead of their own drugs.
29:26ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年4月3日播客 · 2 人对谈ChatGPT Almost Became a Meeting Bot. Its Co-Creator Is Now Rearranging Atoms主持 Sarah Guo, Elad GilLiam Fedus tells No Priors how Periodic Labs is connecting language models to experiments so materials science can run in a closed loop.
58:27ENSequoia Capital· 2026年3月24日播客Even a dumber AI can win science if it never leaves the labGinkgo Bioworks CEO Jason Kelly tells Sequoia why autonomous labs, not smarter models, will change how experimental science gets done.
1:43:39EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2026年3月11日播客五个突变就可能让致死率 60% 的禽流感在人与人之间传播主持 Nathan Labenz约翰霍普金斯大学助理教授 Jassi Pannu 主张，只限制那一小部分教模型如何制造大流行病毒的功能数据，其余生物学数据仍然保持开放。
2:25:42EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年2月14日播客专家们争到咖啡时间，也没有定论：AI 能不能造出 AI主持 Nathan Labenz在 Cognitive Revolution 的一场马拉松直播中，一位癌症 AI 研究者、一位前 OpenAI 董事会成员和一位国家安全分析师，各自撞上了这股热潮里一堵不同的墙。
1:34:42ENCognitive Revolution "How AI Changes Everything"· 2026年2月13日播客A $500 Kernel, a Ten-Month Village, and the Temper of Agents主持 Nathan LabenzJames Zou, Sam Hammond, and Shoshannah Tekofsky on science agents, America's knowledge-work bet, and what models actually do when you leave them alone.
1:04:51ENCognitive 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.
48:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年11月13日播客 · 2 人对谈A New Drug Burns $2 Billion and 10 Years. Benchling's CEO Wants AI to Cut That to Three主持 Sarah Guo, Elad GilMost medicines fail in years seven to ten, after hundreds of millions have already gone into the clinic—and Sajith Wickramasekara thinks sending things to space may already be easier.
1:29:30ENCognitive Revolution "How AI Changes Everything"· 2025年10月14日播客2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New Antibiotics主持 Nathan LabenzMIT's Jim Collins tells Nathan Labenz how a bootlegged 2018 project, a binary growth-inhibition label, and Chemprop graph networks pulled novel antibiotics out of chemical space that labs could never screen by hand.
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.
1:55:02ENCognitive Revolution "How AI Changes Everything"· 2025年8月30日播客A hundred experiments a day, and the valley of death in materials主持 Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.
13:30EN → 简体中文3Blue1Brown· 2025年8月17日AlphaGeometry 如何结合逻辑证明与创造性作图Aleph0Aleph0 讲解了符号几何求解器如何在不使用 AI 的情况下解决大量难题，以及语言模型如何提供辅助作图，让系统达到奥数竞赛水平。
57:52EN
Unsupervised 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.
2:28:14EN → 简体中文
Lex Fridman· 2025年7月23日播客 · 2 人对谈自然有结构：Demis Hassabis 谈可学习的现实与 AGI嘉宾 Demis Hassabis · 主持 Lex Fridman谷歌 DeepMind 的 CEO 认为，经过进化塑造的系统可以用经典学习方法来建模，而可交互的世界模型正处在通往 AGI 的路上。
41:13ENSequoia Capital· 2025年7月11日播客From 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.
49:27ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年7月3日播客 · 2 人对谈From 0.1% to 20%: Chai-2 Turns Antibody Design Into Prompt Engineering主持 Sarah Guo, Elad GilChai Discovery co-founders Joshua Meier and Jack Dent tell Sarah Guo how a generative model now designs antibodies that bind on the first 24-well plate.
42:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年6月26日播客 · 2 人对谈AlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%主持 Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.
3:14:34EN → 简体中文Lex Fridman· 2025年6月14日播客 · 2 人对谈陶哲轩：难题有十个难点，他先关掉九个嘉宾 Terence Tao · 主持 Lex Fridman菲尔兹奖得主陶哲轩与莱克斯·弗里德曼从挂谷针和纳维-斯托克斯方程聊到 Lean 和佩雷尔曼，也谈到为什么今天的 AI 还闻不出一条证明是不是走进了死胡同。
1:12:29ENCognitive Revolution "How AI Changes Everything"· 2025年6月4日播客Google's AI Co-Scientist Solved a Phage Puzzle Humans Missed for Years主持 Nathan LabenzImperial College scientists José Penadés and Tiago Costa told the Podovirus podcast how a still-unreleased Google system recovered their unpublished answer: tailless capsids that pick up stray phage tails.
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.
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.加载更多已显示 24 篇，共 72 篇