필터 결과
150개정렬
2:28:11ENPeople Are Easy to Predict — and They Hate Being Told So게스트 Charles Isbell · 진행자 Lex FridmanGeorgia Tech dean Charles Isbell talks with Lex Fridman about interactive AI, computing as a mindset, and race in America.
3:01:07ENLoneliness Has No Clinic. Eugenia Kuyda Built an AI Friend Anyway게스트 Eugenia Kuyda · 진행자 Lex FridmanThe Replika co-founder talks with Lex Fridman about grief, conversation, and why memory—not a clever reply—is the real limit of AI companionship.
2:48:46ENLet Physics Walk: Russ Tedrake on Underactuated Robots, Contact, and Barefoot Commutes게스트 Russ Tedrake · 진행자 Lex FridmanMIT’s Russ Tedrake talks with Lex Fridman about gravity-powered walkers, a dead trout that swims upstream, why contact still breaks classical control, and what the DARPA Robotics Challenge taught him about testing.
1:12:36ENKate Darling on Why We Name the Roomba and Mourn the Bomb Robot게스트 Kate Darling · 진행자 Lex FridmanAn MIT Media Lab researcher argues that our feelings about machines track the history of animal domestication — and that design can steer that instinct for better or worse.
1:38:33ENMaybe people are rational under different assumptions게스트 Anca Dragan · 진행자 Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.
1:45:49ENPrediction is not a decision: Michael I. Jordan on markets and the unfinished AI revolution게스트 Michael I. Jordan · 진행자 Lex FridmanThe Berkeley statistician tells Lex Fridman that today's systems are a proto-engineering field, and that the hard work is connecting producers and consumers — not imitating minds.
1:39:57ENPeople Say They Want Perfect Robots. They Trust the Ones That Push Back게스트 Ayanna Howard · 진행자 Lex FridmanAyanna Howard on human-robot interaction, the ethics of safety-critical code, and why a little imperfection is what actually earns trust.
1:18:41ENThe SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool Us게스트 Daniel Kahneman · 진행자 Lex FridmanDaniel Kahneman on System 1, deep learning that does not know what it is saying, and why a machine that must call a human is almost as hard as a machine that never needs one.
1:45:58ENNine of ten colleagues said far-field speech was impossible게스트 Rohit Prasad · 진행자 Lex FridmanRohit Prasad, Amazon’s vice president and head scientist for Alexa, talks with Lex Fridman about conversational AI, the Alexa Prize, trust, and why a 20-minute chat is still years away.
1:16:58ENFear of Robots Is a Champagne Problem, Says Whitney Cummings게스트 Whitney Cummings · 진행자 Lex FridmanThe comedian talks with Lex Fridman about Bear Claw, sex robots, factory farms, codependency, and terror management.
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.
14:55ENKasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questions게스트 Garry Kasparov · 진행자 Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.
55:24ENThe Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and Putin게스트 Garry Kasparov · 진행자 Lex FridmanThe former world champion tells Lex Fridman why losing to IBM still hurt, why chess was never the peak of intellect, and why he lives in New York.
20:34ENTeaching Machines the Frameworks Humans Take for Granted게스트 David Ferrucci · 진행자 Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
1:01:00ENA Hundred Billion Galaxies, and We're Still a Type 0.7 Civilization게스트 Michio Kaku · 진행자 Lex FridmanTheoretical physicist Michio Kaku talks with Lex Fridman about aliens, string theory, digital immortality, and why fusion and Mars are the next civilizational steps.
2:24:31ENWatson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain Itself게스트 David Ferrucci · 진행자 Lex FridmanLex Fridman talks with David Ferrucci about IBM Watson, why prediction is not understanding, and why high-stakes decisions need machines that can reason with us.
1:00:06ENPamela McCorduck: AI Began With the Ancient Wish to Forge the Gods게스트 Pamela McCorduck · 진행자 Lex FridmanThe novelist who wrote the first popular history of artificial intelligence talks with Lex Fridman about Dartmouth, AI winters, and why existential panic looks like the male gaze.
44:48ENChris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You Nap게스트 Chris Urmson · 진행자 Lex FridmanLex Fridman talks with Aurora CEO Chris Urmson about the DARPA races, why lidar is a tool rather than a crutch, and why Level 2 economics will not grow into true autonomy.
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.
1:09:11ENDon't Ship Autopilot: Gavin Miller on AI That Leaves Creatives in Charge게스트 Gavin Miller · 진행자 Lex FridmanAdobe Research's head tells Lex Fridman why smart defaults, fixable errors, and intern-scale bets matter more than a fully automatic Photoshop.
1:21:44ENFrom Rowing to Steering: Inside OpenAI's Push Toward Persistent AI Coworkers진행자 Lenny RachitskyTara Seshan, who leads product for Codex and ChatGPT Work at OpenAI, explains how PM work changes when agents do the rowing and people do the steering.
1:26:22ENStart Small, Earn Autonomy: What 50+ AI Product Deployments Taught Two Builders진행자 Lenny RachitskyAishwarya Naresh Reganti and Kiriti Badam explain why AI products need a different build process, and how to grow agent autonomy step by step without losing customer trust.
1:08:29ENTaste, Authenticity and Small Pods: Instagram's Adam Mosseri on Building Products in an AI World진행자 Lenny RachitskyThe head of Instagram explains how Meta's product teams are shrinking, why human judgment and creator identity matter more as AI content grows, and what he learned from his biggest failures.
28:48ENWhy Claude Still Needs a PM: Anthropic's Product Leaders on Judgment, Agents and Parallel Bets진행자 Lenny RachitskyAt the Lenny and Friends Summit, Anthropic's Ami Vora and Mike Krieger tell Dan Shipper how the product role is changing when technology shifts every couple of months.
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