필터 결과
121개정렬
22:31ENTen Regrets: Marty Cagan on What He Got Wrong About Product진행자 Lenny RachitskyAt Lenny and Friends Summit, Marty Cagan revisits his decades of product advice and names the ten things he would change.
17:40ENFrom AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AI진행자 Lex FridmanDeepMind's David Silver explains why removing human knowledge made AlphaZero stronger and more general, and how MuZero extended the idea to worlds with unknown rules.
23:57ENChips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI Boom진행자 Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.
17:22ENDon't Become a Software Factory: Why Context Is the Real Product진행자 Lenny RachitskyLinear CEO Karri Saarinen argues that as AI automates execution, product teams must protect the learning that makes great products possible.
28:53ENTake Back MIT: Eric Weinstein on Broken Institutions and the Scientists Who Should Reclaim Them진행자 Lex FridmanIn a clip from their longer conversation, Eric Weinstein and Lex Fridman argue over whether MIT can be won back from its administrators, and what it means to be betrayed by the institutions we trust.
19:31ENBuild the Factory, Not Just the Product: How Ramp Chases Bottlenecks Across the Whole Development Loop진행자 Lenny RachitskyRamp CPO Geoff Charles walks through the AI agents his team built for every stage of product development, and what they mean for the PM's role.
17:10ENBitcoin’s puzzle is a Byzantine agreement machine진행자 Lex FridmanVitalik Buterin explains how proof of work turns a fault-tolerance thought experiment into a shared ledger, and why a 50 percent attack and quantum mining are less simple than they sound.
26:42ENSeeing the Matrix as a Product Leader: Scott Belsky’s Cardinal Rules for Products People Love진행자 Lenny RachitskyScott Belsky distills hard-won lessons on simplicity, defaults, empathy, talent and taste in the age of AI.
16:41ENAlphaFold 2 and the Protein-Folding Breakthrough: Why Lex Fridman Calls It a Landmark for AI and Biology진행자 Lex FridmanA quick explainer on DeepMind's CASP14 result, how protein folding works, how AlphaFold 1 and 2 likely differ, and what the advance could unlock.
26:40ENGet to the Punchline: How Figma's Slides Team Won Trust Instead of Just a Green Light진행자 Lenny RachitskyFigma's Mika and Yuki explain why the standard PM playbook for product reviews backfires — and the tactics they used instead to get Figma Slides built, funded and launched.
23:57ENWrite Your Last Roadmap: Claire Vo on Building When Code Is Cheap진행자 Lenny RachitskyIn a talk at the Lenny and Friends Summit, Claire Vo argues that cheap AI execution has made feature roadmaps dangerous and that teams should plan around convictions and evidence instead.
20:45EN17 Interview Questions That Reveal How Candidates Think진행자 Lenny RachitskyLenny distills favorite interview questions from more than 100 podcast guests into a practical guide for hiring and being hired.
23:54ENBeyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AI진행자 Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
17:21ENHow Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and Intent게스트 Rohit Prasad · 진행자 Lex FridmanAlexa's head scientist recalls the early days of the Echo, when far-field speech recognition seemed unsolvable and there were no customers to collect data from.
18:02ENYour Career Is the Most Important Product You'll Ever Ship진행자 Lenny RachitskyA product-leadership framework for navigating dozens of jobs, building career stories, avoiding burnout, and turning reputation into opportunity.
17:35ENHands Off the Wheel in San Diego: A Comma Two Demo Drive and a Tour of comma.ai's Hardware Shop진행자 Lex FridmanAfter their podcast conversation, George Hotz takes Lex Fridman on an openpilot drive and then through the comma.ai offices, dashboards, assembly line and compute cluster.
19:13ENThe Higgs Was the Missing Puzzle Piece. The Real Mystery Is Why It Exists at All진행자 Lex FridmanParticle physicist Harry Cliff explains why finding the Higgs confirmed the obvious, why its tuned value is so troubling, and why the search for a deeper theory is stuck.
18:46ENA Brooding Stuffed Hedgehog and Lex Fridman's Case for Owning Less진행자 Lex FridmanIn an AMA, Lex Fridman uses his thrift-store hedgehog to talk about minimalism, anthropomorphism in robotics, and why shared experience binds people together.
22:08ENHeavy, Patient, Relentless: What a Day on the Mats With Khabib Nurmagomedov Feels Like진행자 Lex FridmanLex Fridman trains with Khabib Nurmagomedov and his team, then hears how Khabib thinks about pressure, endurance and never stopping.
24:08ENIntelligence Is Not Just Prediction: David Ferrucci on Explanation, Persuasion and Shared Meaning게스트 David Ferrucci · 진행자 Lex FridmanThe lead of IBM's Watson team argues that predicting well is only half of intelligence, and that being understood by others is the other half.
22:03ENRunning the Drake Equation: Lex Fridman's Estimate of Alien Civilizations, From 0.7 in the Milky Way to Trillions in the Universe진행자 Lex FridmanLex Fridman walks through each parameter of the Drake equation with optimistic, pessimistic and personal estimates, then argues the real lesson is how little we understand about intelligence and communication.
23:11ENNick Bostrom on Superintelligence: Why the Upside Deserves as Much Attention as the Risk게스트 Nick Bostrom · 진행자 Lex FridmanIn a clip from the Lex Fridman Podcast, Oxford philosopher Nick Bostrom defines superintelligence, discusses intelligence explosions, and sketches what a good AGI future might look like.
22:17ENWhat Is Real? Lee Smolin on Realism, Science and Storytelling진행자 Lex FridmanThe theoretical physicist explains why he believes in a world independent of our perception, why he doubts there is a single scientific method, and where realism meets quantum mechanics.
15:43ENInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Study게스트 MIT-AVT · 진행자 Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
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