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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。安全安全与治理AI security+3
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。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
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
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
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
1:31:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月6日播客Thirty Years of Research, Collapsed into One Sentence主持 Nathan LabenzImmunologist Derya Unutmaz on writing a medical patent in half an hour, treating o1 Pro as a professor-level collaborator, and why he no longer trusts his own expertise until he asks the model.AI for scienceAI in healthcareHuman-AI Collaboration+3
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月22日播客Twenty-atom crystals taught an AI the physics of a heartbeat主持 Nathan LabenzOrbital Materials' Jonathan Godwin and Tim Duignan tell Nathan Labenz how a neural network trained on tiny crystals simulated a potassium ion channel on a single 2017 GPU.模型与训练AI for science机器学习基础+3
1:01:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月18日播客Humans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.主持 Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.智能体Agent orchestrationMulti-agent systems+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月5日播客AI Beats Humans at Reading Papers. It Still Cannot Count Atoms.主持 Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.智能体AI for science检索增强生成+3
1:23:37EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月23日播客Nine of the top ten research ideas were Claude's主持 Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.评估与可观测性评估Benchmarks+3
1:13:23EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月12日播客An AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.主持 Nathan LabenzMichael Levin and Leo Pio Lopez on a multilayer embedding that predicted melanoma, a cancer with no mutations, and why biology's real interface is cognitive.AI for scienceComputational BiologyAI research+3
1:18:32EN
Cognitive Revolution "How AI Changes Everything"· 2024年9月20日播客A DNA Model That Can Tell Which Genes You Cannot Touch主持 Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.模型与训练AI for scienceComputational Biology+3
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月26日播客A Tiny Network Grew a Salt Crystal the Training Data Never Showed主持 Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.模型与训练AI for science机器学习基础+3
1:59:15EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月25日播客A Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI Biology主持 Nathan LabenzThe White House set a thousand-fold lower reporting bar for biological models than for language models—and this conversation shows why that gap already looks prescient.模型与训练AI for scienceComputational Biology+3
1:20:44EN
Cognitive Revolution "How AI Changes Everything"· 2024年3月30日播客Seeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 Days主持 Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.模型与训练AI researchTransformers & attention+3
1:25:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月9日播客Two-Headed Worms, Regenerated Legs, and a Sort That Learned to Wait主持 Nathan LabenzTufts biologist Michael Levin tells Cognitive Revolution why anatomy is rewritable software, and why he stopped a paper that might have made AI more alive.智能体Neuroscience & AIPhilosophy of Mind+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月12日播客Twenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experiment主持 Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.智能体AI for science智能体工程+3
1:45:49EN
Cognitive Revolution "How AI Changes Everything"播客Trust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the Company主持 Nathan LabenzAndreas Stuhlmüller and Jungwon Byun explain how Elicit keeps frontier models checkable for high-stakes science, and where they think AI reasoning is heading.智能体World modelsReasoning & test-time compute+3
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