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40 件
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47:22EN
Sequoia Capital· 2026年8月4日ポッドキャスト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.モデルと学習AI for scienceScaling Laws+3
58:27EN
Sequoia Capital· 2026年3月24日ポッドキャスト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.エージェントAI for scienceエージェント工学+3
3:18:09EN
Lex Fridman· 2025年11月30日ポッドキャスト · 2 人A Thing Is Alive When Its Goals Outrun Its Partsゲスト Michael Levin · ホスト Lex FridmanTufts biologist Michael Levin tells Lex Fridman that intelligence is a spectrum of persuadability, that even a bubble sort hosts unexpected goals, and that the brain is a thin client to a space physics does not own.エージェントNeuroscience & AIPhilosophy of Mind+3
1:29:30EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月14日ポッドキャスト2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New Antibioticsホスト 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.モデルと学習AI for scienceDrug Discovery+3
57:52EN
Unsupervised Learning: With Jacob Effron· 2025年8月13日ポッドキャストThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.ホスト 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.モデルと学習AI for scienceComputational Biology+3
49:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月3日ポッドキャスト · 2 人From 0.1% to 20%: Chai-2 Turns Antibody Design Into Prompt Engineeringホスト 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
2:02:27EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月7日ポッドキャストShe set out to build mirror life. Then she talked the field into stoppingホスト Nathan LabenzUniversity of Minnesota geneticist Kate Adamala tells Nathan Labenz why every known organism shares one chemical alphabet — and why flipping that alphabet would be a branch of synthetic biology better left unexplored.セキュリティと安全性Biosecurity安全性とガバナンス+3
1:12:29EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月4日ポッドキャストGoogle's AI Co-Scientist Solved a Phage Puzzle Humans Missed for Yearsホスト 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.エージェントAI for scienceAI research+3
55:40EN
Sequoia Capital· 2025年4月29日ポッドキャスト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.企業と戦略AI for scienceSynthetic data+3
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月23日ポッドキャストA Year to Grow a Brain Organoid, an Hour to Simulate Itホスト 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.モデルと学習AI for scienceComputational Biology+3
1:33:01EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月15日ポッドキャストRare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already Missedホスト Nathan LabenzDr. Catherine Brownstein of Boston Children's Hospital explains why cheap genomes made her job harder, why data sharing still beats any model, and where ChatGPT Pro actually gives her hours back.AI in healthcareReasoning & test-time computePrompting & in-context learning+3
1:13:23EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月12日ポッドキャストAn AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.ホスト 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日ポッドキャストA DNA Model That Can Tell Which Genes You Cannot Touchホスト 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.モデルと学習AI for scienceComputational Biology+3
1:30:37EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月30日ポッドキャスト64 Bytes of Random Code, and Computational Life Showed Up Anywayホスト Nathan LabenzGoogle researchers Ettore Randazzo and Luca Versari show that self-replicators can arise from a soup of random strings with no fitness function at all.AI research安全性とガバナンスComputational Biology+2
1:59:15EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月25日ポッドキャストA Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI Biologyホスト 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.モデルと学習AI for scienceComputational Biology+3
1:25:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月9日ポッドキャストTwo-Headed Worms, Regenerated Legs, and a Sort That Learned to Waitホスト 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.エージェントNeuroscience & AIPhilosophy of Mind+3
37:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月28日ポッドキャスト · 2 人DNA Is Code, but You Compile It with a Pipetteホスト Sarah Guo, Elad GilGinkgo Bioworks CEO Jason Kelly tells No Priors why cells are worth the magic, why biology has no AWS, and why a pandemic should look like cybersecurity.モデルと学習AI for scienceBiosecurity+3
2:18:25EN
Lex Fridman· 2023年9月1日ポッドキャスト · 2 人Grow Everything: Neri Oxman on Giving Nature a Voteゲスト Neri Oxman · ホスト Lex FridmanThe designer-scientist who left MIT to build OXMAN talks silkworm pavilions, bees in space, and why the end of human agency might be the start of nature's.RoboticsCreativityScience Communication+3
35:24EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月24日ポッドキャスト · 2 人The Author of Attention Is All You Need Now Compiles mRNA Like Bytecodeホスト Sarah Guo, Elad GilJakob Uszkoreit on why Transformers won, why models spend compute on the wrong things, and why drug discovery has to become generation rather than screening.モデルと学習AI for scienceTransformers & attention+2
2:40:18EN
Lex Fridman· 2022年12月29日ポッドキャスト · 2 人Every Living Cell Runs the Same Translation Machineゲスト Betül Kaçar · ホスト Lex FridmanAstrobiologist Betül Kaçar tells Lex Fridman how the tree of life is drawn backward, why nitrogen was fixed only once, and why the genetic code is an alphabet with room for typos.AstrobiologyOrigin of LifeComputational Biology+2
3:00:21EN
Lex Fridman· 2022年10月1日ポッドキャスト · 2 人Cut Off a Planarian's Head. The New Brain Still Remembersゲスト Michael Levin · ホスト Lex FridmanMichael Levin argues that DNA only builds hardware, bioelectric networks store body plans, and frog skin cells can become robots that evolution never designed.AI researchRoboticsPhilosophy+3
3:43:01EN
Lex Fridman· 2022年9月7日ポッドキャスト · 2 人Put Hydrogen and CO2 in a Tube. Thermodynamics Wants Cells. Nothing Happens.ゲスト Nick Lane · ホスト Lex FridmanBiochemist Nick Lane talks Lex Fridman through hydrothermal vents, mitochondria, sex, consciousness, and why bacteria should be common while civilizations are not.Origin of LifeAstrobiologyConsciousness+3
2:10:39EN
Lex Fridman· 2022年7月1日ポッドキャスト · 2 人Demis Hassabis: Solve Intelligence, Then Solve Everything Elseゲスト Demis Hassabis · ホスト Lex FridmanThe DeepMind CEO tells Lex Fridman why the Turing Test is the wrong exam, how AlphaFold rewrote biology, and why the quiet radio sky suggests we are probably alone.モデルと学習AI researchAGI(汎用人工知能)+3
2:55:05EN
Lex Fridman· 2022年5月8日ポッドキャスト · 2 人Extinction awareness is the human trait Mason wants to carry to the starsゲスト Chris Mason · ホスト Lex FridmanCornell geneticist Chris Mason on why seeing our own end creates a duty to engineer life for other worlds — and what a 500-year plan would actually require.AstrobiologyExistential RiskPhilosophy+3
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