필터 결과
46개정렬
1:18:18ENFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone Saw진행자 Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.
1:25:35ENTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical School진행자 Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.
42:18ENTen Percent of Search Is Health — and the Doctor Is Googling Too진행자 Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.
1:28:43ENClinical Guidelines Are 11% Evidence. Curai’s Founder Still Wants GPT-4 in the Exam Room진행자 Nathan LabenzNeal Khosla of Curai Health argues that large language models already match median U.S. physicians on today’s tests — and that the real work is scaffolding, supervision, and a doctor’s signature.
58:24ENAmong 100 Random Doctors, Zak Kohane Would Be Surprised If One Beat GPT-4진행자 Nathan LabenzHarvard's biomedical informatics chair on a rare newborn case, why drug-style trials will not certify a general medical model, and why the AI should still work for the patient.
46:57EN95% of Drug Programs Fail. Daphne Koller Is Betting Machine Learning on the First Decision진행자 Sarah Guo, Elad GilA new medicine still takes more than a decade and well over a billion dollars — and Insitro's founder argues the expensive failures start with the wrong target, indication, or patient.
50:12ENThe Drone Is Only 15 Percent of the Problem진행자 Sarah Guo, Elad GilZipline CEO Keller Rinaudo Cliffton on why blood delivery in Rwanda, not a cooler airplane, built the world's largest commercial autonomous system.
2:43:51ENTwo Tubes, Millimeters Apart: Jonathan Reisman on the Honest Design of the Human Body게스트 Jonathan Reisman · 진행자 Lex FridmanThe emergency physician and author of The Unseen Body walks Lex Fridman from the throat to the Arctic, arguing that anatomy is mostly brilliant, sometimes a near-miss, and always a story written in scars.
3:21:29ENWhen something in the mind breaks, you see what it was for게스트 Karl Deisseroth · 진행자 Lex FridmanStanford psychiatrist Karl Deisseroth talks with Lex Fridman about depression, schizophrenia, optogenetics, and why you can treat one symptom without a theory of everything.
1:41:34ENAging Is a Scratched Disc. David Sinclair Thinks the Body Kept a Backup게스트 David Sinclair · 진행자 Lex FridmanThe Harvard geneticist tells Lex Fridman why aging is information loss, how three genes gave a blind mouse its sight back, and why skipping meals may beat the perfect diet.
2:31:30ENThe Brain Is the Last Unengineered System in Society게스트 Bryan Johnson · 진행자 Lex FridmanBryan Johnson demos Kernel Flow on Lex Fridman, then argues that cognition is society's largest unmeasured input and that numbers, not vibes, should run mental health, diet, and the next wave of brain interfaces.
2:39:45ENThe obesity gene was never the obesity gene게스트 Manolis Kellis · 진행자 Lex FridmanManolis Kellis tells Lex Fridman how one nucleotide a million bases from FTO rewrote obesity biology, and why human genetics is now driving the study of disease.
1:02:14ENThe 28-year wait: Robert Langer on rejection, polymers, and a thousand students게스트 Robert Langer · 진행자 Lex FridmanThe MIT bioengineer talks with Lex Fridman about drug delivery, tissue engineering, patents, and the long path from a Folkman hypothesis to Avastin.
1:12:03ENMice Don't Get Alzheimer's: Daphne Koller on Disease in a Dish게스트 Daphne Koller · 진행자 Lex FridmanThe Coursera co-founder and insitro CEO on why most diseases are not one disease, how to turn cells into data, and why overconfident neural nets can kill.
36:10ENSo You're Saying There's a Chance: Musk on Neuralink, AI, and a Pale Blue Dot게스트 Elon Musk · 진행자 Lex FridmanLex Fridman and Elon Musk move from consciousness and an AI referee to the engineering of a brain implant, Tesla Autopilot, and Carl Sagan's lonely speck.
1:17:29ENThe Algorithm Is Already Better. The Clinic Still Uses 1967.게스트 Regina Barzilay · 진행자 Lex FridmanMIT's Regina Barzilay on why deep learning already beats the breast-cancer 'density' score — and why data, liability, and incentives still will not move.
1:00:11ENRosalind Picard: Clippy Never Saw You Frown, and That's the Whole Problem게스트 Rosalind Picard · 진행자 Lex FridmanThe MIT professor who named affective computing on emotion recognition, privacy, seizure-detecting wearables, and why a device you can take off is safer than a camera you cannot see.
33:07ENThey Ran an Extension Cord Next Door and Invented Google게스트 Eric Schmidt · 진행자 Lex FridmanEric Schmidt tells Lex Fridman that Larry and Sergey never held the entrepreneurship meeting: they had a better algorithm, too little power in the dorm, and a $100,000 check.
1:02:57ENVirtual Biopsies in One Second: How a Seven-Year-Old CycleGAN Is Beating Newer Models in the Clinic진행자 Nathan LabenzTanishq Mathew Abraham explains how deep learning turns label-free 3D tissue images into virtual H&E stains fast enough to guide tumor surgery.
1:04:35ENOscar Health's AI Playbook: Translate the Bureaucracy First, Then Reinvent Care진행자 Jacob EffronMario, Oscar Health's CTO and co-founder, explains how a regulated insurer deploys LLMs today and what stands between healthcare and AI doctors.
2:04:21EN"AI Doctors Are Here": A Father's Account of Fighting His Son's Burkitt Leukemia With GPT-5 Pro and Gemini 3진행자 Nathan LabenzNathan Labenz recounts the first three weeks of his 6-year-old son's cancer diagnosis and how frontier models served as second opinions, bedside co-pilots and relapse planners.
1:22:17ENOne Set of Weights, Fourteen Medical Tasks: Inside Google's Multimodal Med-PaLM M진행자 Nathan LabenzVivek Natarajan and Tao Tu explain how Google built a single generalist biomedical model that reads images, genomics and text, and what it will take to put it in front of patients.









