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38:10ENFrom 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.
47:22ENFrom 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.
58:27ENEven 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.
3:18:09ENA Thing Is Alive When Its Goals Outrun Its PartsInvitado: Michael Levin · Presenta: 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.
1:29:30EN2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New AntibioticsPresenta: 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.
57:52ENThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.Presenta: 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.
49:27ENFrom 0.1% to 20%: Chai-2 Turns Antibody Design Into Prompt EngineeringPresenta: 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.
2:02:27ENShe set out to build mirror life. Then she talked the field into stoppingPresenta: 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.
1:12:29ENGoogle's AI Co-Scientist Solved a Phage Puzzle Humans Missed for YearsPresenta: 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.
55:40ENTo 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.
1:43:54ENA Year to Grow a Brain Organoid, an Hour to Simulate ItPresenta: 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.
1:33:01ENRare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already MissedPresenta: 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.
1:13:23ENAn AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.Presenta: 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.
1:18:32ENA DNA Model That Can Tell Which Genes You Cannot TouchPresenta: 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.
1:30:37EN64 Bytes of Random Code, and Computational Life Showed Up AnywayPresenta: 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.
1:59:15ENA Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI BiologyPresenta: 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.
1:25:09ENTwo-Headed Worms, Regenerated Legs, and a Sort That Learned to WaitPresenta: 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.
37:01ENDNA Is Code, but You Compile It with a PipettePresenta: 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.
2:18:25ENGrow Everything: Neri Oxman on Giving Nature a VoteInvitado: Neri Oxman · Presenta: 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.
35:24ENThe Author of Attention Is All You Need Now Compiles mRNA Like BytecodePresenta: 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.
2:40:18ENEvery Living Cell Runs the Same Translation MachineInvitado: Betül Kaçar · Presenta: 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.
3:00:21ENCut Off a Planarian's Head. The New Brain Still RemembersInvitado: Michael Levin · Presenta: 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.
3:43:01ENPut Hydrogen and CO2 in a Tube. Thermodynamics Wants Cells. Nothing Happens.Invitado: Nick Lane · Presenta: Lex FridmanBiochemist Nick Lane talks Lex Fridman through hydrothermal vents, mitochondria, sex, consciousness, and why bacteria should be common while civilizations are not.
2:10:39ENDemis Hassabis: Solve Intelligence, Then Solve Everything ElseInvitado: Demis Hassabis · Presenta: 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.
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