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4,484 件
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57:44EN
Lex Fridman· 2019年8月1日ポッドキャスト · 2 人Kevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others Earnゲスト Kevin Scott · ホスト Lex FridmanMicrosoft's CTO talks radical markets, data dignity, Dunbar's number, and why a platform fails if only a handful of companies decide what AI is for.企業と戦略AI StrategyProduct Strategy+3
1:47:04EN
Lex Fridman· 2019年7月29日ポッドキャスト · 2 人Gustav Söderström on Why Spotify Could Only Be Born in Swedenゲスト Gustav Soderstrom · ホスト Lex FridmanLex Fridman talks with Spotify’s chief R&D officer about three-minute songs, 250-millisecond playback, playlist luck, and herding record labels.プロダクトと UXRecommendation systemsインフラとデプロイ+3
44:48EN
Lex Fridman· 2019年7月22日ポッドキャスト · 2 人Chris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You Napゲスト Chris Urmson · ホスト 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.エージェントAutonomous Driving安全性とガバナンス+3
1:26:27EN
Lex Fridman· 2019年7月15日ポッドキャスト · 2 人Kai-Fu Lee: Originality Pride Is a Handcuff on What a Company Can Becomeゲスト Kai-Fu Lee · ホスト Lex FridmanIn a 2019 conversation with Lex Fridman, the investor and former Google China president explains why China's copycat years were a training ground, why data often beats clever algorithms, and what facing death did to his idea of work.企業と戦略AI StrategyAI startups & small teams+3
34:50EN
Lex Fridman· 2019年7月10日ポッドキャスト · 2 人A cheap simulation would render only you, and the wall would have nothing behind itゲスト Sean Carroll · ホスト Lex FridmanSean Carroll walks Lex Fridman from ice-cream emergence and quantum-circuit cosmology to Fermi's paradox, the origin of life, and why academia punishes the conversations that actually change fields.PhilosophyConsciousness & IntelligencePhilosophy of Science+3
2:09:42EN
Lex Fridman· 2019年7月1日ポッドキャスト · 2 人The Brain Does Not Classify Images. It Navigates Maps.ゲスト Jeff Hawkins · ホスト Lex FridmanJeff Hawkins tells Lex Fridman why the neocortex stores the world as thousands of voting reference frames, and why scaling today's networks will not get us there.モデルと学習Neuroscience & AI機械学習の基礎+3
スライド 4 枚1:33:13EN
Jane Street· 2019年6月27日Don Jones on PowerShell, Career Growth, and the First FollowerDon Jones · PluralsightPowerShell educator Don Jones reflects on writing small composable tools, building a resilient career, and helping others join a community.Programming LanguagesWorkflow automationSoftware engineering+2
1:00:11EN
Lex Fridman· 2019年6月17日ポッドキャスト · 2 人Rosalind Picard: Clippy Never Saw You Frown, and That's the Whole Problemゲスト Rosalind Picard · ホスト 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.マルチモーダルとメディア安全性とガバナンスPrivacy & data governance+3
1:09:11EN
Lex Fridman· 2019年6月10日ポッドキャスト · 2 人Don't Ship Autopilot: Gavin Miller on AI That Leaves Creatives in Chargeゲスト Gavin Miller · ホスト Lex FridmanAdobe Research's head tells Lex Fridman why smart defaults, fixable errors, and intern-scale bets matter more than a fully automatic Photoshop.プロダクトと UXGenerative mediaHuman-AI Collaboration+3
1:10:58EN
Lex Fridman· 2019年6月3日ポッドキャスト · 2 人The Hadoop Lesson That Made Google Give TensorFlow Awayゲスト Rajat Monga · ホスト Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.オープンソースとコミュニティOpen-source ecosystemsCommunity building+3
1:13:06EN
Lex Fridman· 2019年5月13日ポッドキャスト · 2 人The Compiler That Got Apple, Google, and Intel to Share a Codebaseゲスト Chris Lattner · ホスト Lex FridmanChris Lattner walks through LLVM, Clang, Swift, TPU numeric formats, and why compiler work is mostly software engineering.インフラとデプロイOpen-source ecosystemsSoftware engineering+1
スライド 5 枚57:57EN
Jane Street· 2019年5月8日Sebastian Funk on a Fast, Safe and Maintainable Packet ProcessorSebastian Funk · Jane StreetA single-core market-data case study shows how latency targets, allocation control and generated code can coexist with high-level abstractions.Software engineeringBenchmarksインフラとデプロイ
1:46:01EN
Lex Fridman· 2019年4月29日ポッドキャスト · 2 人The Night AlphaStar Beat TLO, the Team Went to a Barゲスト Oriol Vinyals · ホスト Lex FridmanOriol Vinyals on how DeepMind turned StarCraft II into a sequence problem, built a league of agents, and still refuses to call the game solved.エージェントReinforcement LearningMulti-agent systems+3
1:08:37EN
Lex Fridman· 2019年4月18日ポッドキャスト · 2 人A Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs Workゲスト Ian Goodfellow · ホスト Lex FridmanLex Fridman talks with Ian Goodfellow about the 2014 invention of generative adversarial networks, adversarial examples as a security problem, and what still has to be built before machines can hold a fact the way a person does.モデルと学習Generative media機械学習の基礎+3
32:45EN
Lex Fridman· 2019年4月12日ポッドキャスト · 2 人Elon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminateゲスト Elon Musk · ホスト Lex FridmanAfter MIT published a study of functional vigilance on Autopilot, Lex Fridman sat down with Musk to argue about cameras on drivers, fleet data, and whether humans still belong in the loop.セキュリティと安全性Autonomous Driving人による検証(HITL)+3
1:25:07EN
Lex Fridman· 2019年4月3日ポッドキャスト · 2 人The Only Real Freedom Is How AGI Is Bornゲスト Greg Brockman · ホスト Lex FridmanGreg Brockman tells Lex Fridman why OpenAI’s job is to set the initial conditions of general intelligence, not to monopolize who builds it.企業と戦略AGI Timelines安全性とガバナンス+3
1:21:56EN
Lex Fridman· 2019年3月20日ポッドキャスト · 2 人We Keep Waiting for AGI. Eric Weinstein Says Artificial Life Is Already Hereゲスト Eric Weinstein · ホスト Lex FridmanOn the Lex Fridman Podcast, the mathematician and Thiel Capital managing director argues that selection without intelligence can already parasitize us, and that our bigger failure is wisdom that never caught up with the toys.セキュリティと安全性安全性とガバナンスExistential Risk+3
1:01:24EN
Lex Fridman· 2019年3月12日ポッドキャスト · 2 人Leslie Kaelbling: You Buy the Ticket Before You Can Plan the Airportゲスト Leslie Kaelbling · ホスト Lex FridmanThe MIT roboticist tells Lex Fridman why abstractions, belief-space control, and built-in bias matter more than picking a tribe of symbols or neural nets.エージェントReinforcement LearningRobotics+3
スライド 8 枚1:08:44EN
Jane Street· 2019年3月8日Nathan Linger on Ontology: A Language-Oriented Permissions SystemNathan Linger · Jane StreetHow Jane Street represents permissions as typed declarations and presents them through an English-language interface.Programming LanguagesSoftware engineeringPrivacy & data governance
スライド 7 枚1:18:13EN
Jane Street· 2019年2月11日Lindsey Kuper on Abstractions for Correct and Efficient Parallel ComputingLindsey Kuper · University of California, Santa CruzFrom lattice-based shared state to non-invasive parallel languages and neural-network verification, high-level abstractions can make systems both safer and faster.Programming LanguagesSoftware engineering
55:24EN
Lex Fridman· 2019年2月7日ポッドキャスト · 2 人Kyle Vogt Built the Highway Kit, Then Scrapped It Before Selling a Single Oneゲスト Kyle Vogt · ホスト Lex FridmanThe Cruise president and CTO tells Lex Fridman why a BattleBots kid from Kansas walked away from a working product, partnered with GM, and is spending 2019 grinding from prototype to production.企業と戦略Autonomous DrivingRobotics+3
1:20:21EN
Lex Fridman· 2019年1月19日ポッドキャスト · 2 人Einstein Was the Worst of Five Ph.D. Studentsゲスト Tomaso Poggio · ホスト Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.モデルと学習機械学習の基礎AI research+3
46:25EN
Lex Fridman· 2019年1月17日ポッドキャストDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Throughホスト Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.モデルと学習Deep LearningAI research+3
5:12EN
3Blue1Brown· 2019年1月13日The Collision Puzzle That Reveals Digits of πAn idealized pair of sliding blocks produces a surprising counting pattern.MathematicsPhysics
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