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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.安全AI security安全与治理+3
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.模型与训练AI for scienceScaling Laws+3
29:26EN
No 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.企业与战略AI for scienceCompany Building+3
58:27EN
Sequoia 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.智能体AI for science智能体工程+3
1:43:39EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月11日播客Five Mutations Could Make a 60% Fatal Bird Flu Spread Between People主持 Nathan LabenzJohns Hopkins assistant professor Jassi Pannu argues for locking down only the sliver of functional data that teaches models how to make pandemic viruses — and keeping the rest of biology open.安全安全与治理AI security+3
2:25:42EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月14日播客The experts argued through the coffee break — and never agreed whether AI can build AI主持 Nathan LabenzOn a marathon Cognitive Revolution live show, a cancer-AI researcher, a former OpenAI board member, and a national-security analyst each hit a different wall in the boom.安全安全与治理通用人工智能+3
1:34:42EN
Cognitive 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.智能体智能体工程Multi-agent systems+3
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.模型与训练AI for scienceData quality & curation+3
48:14EN
No 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.智能体AI for scienceAI in healthcare+3
1:29:30EN
Cognitive 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.模型与训练AI for scienceDrug Discovery+3
1:01:49EN
Cognitive 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.模型与训练AI for scienceReinforcement Learning+3
1:55:02EN
Cognitive 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.智能体AI for scienceAutonomous Systems+3
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.模型与训练AI for scienceComputational Biology+3
2:28:14EN
Lex Fridman· 2025年7月23日播客 · 2 人对谈Nature Has Structure: Demis Hassabis on Learnable Reality and AGI嘉宾 Demis Hassabis · 主持 Lex FridmanThe Google DeepMind CEO argues that evolution-shaped systems can be modeled by classical learning, and that interactive world models sit on the path to AGI.企业与战略World models通用人工智能+3
41:13EN
Sequoia 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.智能体AI for scienceMulti-agent systems+3
49:27EN
No 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.AI for scienceDrug DiscoveryAI startups & small teams+3
42:09EN
No 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.编程智能体智能体工程评估+3
3:14:34EN
Lex Fridman· 2025年6月14日播客 · 2 人对谈If ten things make a problem hard, Terence Tao turns nine of them off嘉宾 Terence Tao · 主持 Lex FridmanThe Fields Medalist walks Lex Fridman from the Kakeya needle and Navier-Stokes through Lean, Perelman, and why today's AI still cannot smell a dead-end proof.MathematicsAI for scienceAI research+3
1:12:29EN
Cognitive 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.智能体AI for scienceAI research+3
55:40EN
Sequoia 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.企业与战略AI for scienceSynthetic data+3
40:54EN
No 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.企业与战略AI for scienceData quality & curation+3
58:11EN
Sequoia Capital· 2025年4月15日播客Patrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.模型与训练AI for sciencePretraining & midtraining+3
1:26:21EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月10日播客For under $10, Google's AI independently recovered a lab result nobody had published主持 Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.智能体AI in healthcareAI for science+3
1:43:54EN
Cognitive 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.模型与训练AI for scienceComputational Biology+3
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