필터 결과
41개정렬
38:10EN
Google DeepMind· 2026년 10월 1일From deepfakes to DNA: how SynthID watermarks AIHannah Fry, Pushmeet Kohli, Jeremy Ratcliffe · Google DeepMindHannah Fry sits down with Pushmeet Kohli and Jeremy Ratcliffe to explain SynthID: a mathematical watermark now used on text, images and video, and being extended to protein sequences so DNA synthesis companies can tell AI-designed molecules from nature.
47:22EN
Sequoia Capital· 2026년 8월 4일팟캐스트From 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.
58:27ENSequoia Capital· 2026년 3월 24일팟캐스트Even 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.
3:18:09EN
Lex Fridman· 2025년 11월 30일팟캐스트 · 2명A Thing Is Alive When Its Goals Outrun Its Parts게스트 Michael Levin · 진행자 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.
1:29:30EN
Cognitive Revolution "How AI Changes Everything"· 2025년 10월 14일팟캐스트2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New Antibiotics진행자 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.
57:52EN
Unsupervised Learning: With Jacob Effron· 2025년 8월 13일팟캐스트They Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.진행자 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.
49:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 7월 3일팟캐스트 · 2명From 0.1% to 20%: Chai-2 Turns Antibody Design Into Prompt Engineering진행자 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.
2:02:27ENCognitive Revolution "How AI Changes Everything"· 2025년 6월 7일팟캐스트She set out to build mirror life. Then she talked the field into stopping진행자 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.
1:12:29ENCognitive Revolution "How AI Changes Everything"· 2025년 6월 4일팟캐스트Google's AI Co-Scientist Solved a Phage Puzzle Humans Missed for Years진행자 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· 2025년 4월 29일팟캐스트To 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.
1:43:54ENCognitive Revolution "How AI Changes Everything"· 2025년 3월 23일팟캐스트A Year to Grow a Brain Organoid, an Hour to Simulate It진행자 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.
1:33:01ENCognitive Revolution "How AI Changes Everything"· 2025년 1월 15일팟캐스트Rare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already Missed진행자 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.
1:13:23ENCognitive Revolution "How AI Changes Everything"· 2024년 10월 12일팟캐스트An AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.진행자 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.
1:18:32ENCognitive Revolution "How AI Changes Everything"· 2024년 9월 20일팟캐스트A DNA Model That Can Tell Which Genes You Cannot Touch진행자 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.
1:30:37ENCognitive Revolution "How AI Changes Everything"· 2024년 8월 30일팟캐스트64 Bytes of Random Code, and Computational Life Showed Up Anyway진행자 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.
1:59:15ENCognitive Revolution "How AI Changes Everything"· 2024년 5월 25일팟캐스트A Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI Biology진행자 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.
1:25:09ENCognitive Revolution "How AI Changes Everything"· 2024년 2월 9일팟캐스트Two-Headed Worms, Regenerated Legs, and a Sort That Learned to Wait진행자 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.
37:01ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 28일팟캐스트 · 2명DNA Is Code, but You Compile It with a Pipette진행자 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.
2:18:25ENLex Fridman· 2023년 9월 1일팟캐스트 · 2명Grow Everything: Neri Oxman on Giving Nature a Vote게스트 Neri Oxman · 진행자 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.
35:24ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 8월 24일팟캐스트 · 2명The Author of Attention Is All You Need Now Compiles mRNA Like Bytecode진행자 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.
2:40:18ENLex Fridman· 2022년 12월 29일팟캐스트 · 2명Every Living Cell Runs the Same Translation Machine게스트 Betül Kaçar · 진행자 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.
3:00:21ENLex Fridman· 2022년 10월 1일팟캐스트 · 2명Cut Off a Planarian's Head. The New Brain Still Remembers게스트 Michael Levin · 진행자 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.
3:43:01ENLex Fridman· 2022년 9월 7일팟캐스트 · 2명Put Hydrogen and CO2 in a Tube. Thermodynamics Wants Cells. Nothing Happens.게스트 Nick Lane · 진행자 Lex FridmanBiochemist Nick Lane talks Lex Fridman through hydrothermal vents, mitochondria, sex, consciousness, and why bacteria should be common while civilizations are not.
2:10:39ENLex Fridman· 2022년 7월 1일팟캐스트 · 2명Demis Hassabis: Solve Intelligence, Then Solve Everything Else게스트 Demis Hassabis · 진행자 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.더 보기41개 중 24개 표시