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2:09:42ENThe Brain Does Not Classify Images. It Navigates Maps.게스트 Jeff Hawkins · 진행자 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.
1:33:13ENDon 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.
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.
1:10:58ENThe Hadoop Lesson That Made Google Give TensorFlow Away게스트 Rajat Monga · 진행자 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.
1:13:06ENThe Compiler That Got Apple, Google, and Intel to Share a Codebase게스트 Chris Lattner · 진행자 Lex FridmanChris Lattner walks through LLVM, Clang, Swift, TPU numeric formats, and why compiler work is mostly software engineering.
57:57ENSebastian 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.
1:46:01ENThe Night AlphaStar Beat TLO, the Team Went to a Bar게스트 Oriol Vinyals · 진행자 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.
1:08:37ENA Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs Work게스트 Ian Goodfellow · 진행자 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.
32:45ENElon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminate게스트 Elon Musk · 진행자 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.
1:25:07ENThe Only Real Freedom Is How AGI Is Born게스트 Greg Brockman · 진행자 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.
1:21:56ENWe Keep Waiting for AGI. Eric Weinstein Says Artificial Life Is Already Here게스트 Eric Weinstein · 진행자 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.
1:01:24ENLeslie Kaelbling: You Buy the Ticket Before You Can Plan the Airport게스트 Leslie Kaelbling · 진행자 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.
1:08:44ENNathan 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.
1:18:13ENLindsey 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.
55:24ENKyle Vogt Built the Highway Kit, Then Scrapped It Before Selling a Single One게스트 Kyle Vogt · 진행자 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.
1:20:21ENEinstein Was the Worst of Five Ph.D. Students게스트 Tomaso Poggio · 진행자 Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.
46:25ENDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Through진행자 Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.
5:12ENThe Collision Puzzle That Reveals Digits of πAn idealized pair of sliding blocks produces a surprising counting pattern.
21:42ENDavid Oyelowo on Queen of Katwe and Who Gets to Tell Stories게스트 David Oyelowo · 진행자 Ben HorowitzA 2016 conversation about the film, representation and opportunities in Hollywood.
26:16ENInnovation, AI and Google I/O: A 2016 Discussion게스트 Benedict Evans, Connie Chan, Steven Sinofsky · 진행자 Kyle RussellA historical discussion of Google Assistant, Instant Apps and Daydream as products and platforms.
35:37ENCoding Literacy and Opening Paths Into Technology게스트 Susan Mernit, Laura Weidman Powers, Reshma Saujani · 진행자 Chrissie BrodiganA 2014 discussion on coding education, confidence, mentorship and barriers to tech careers.
24:58ENInvesting in Underserved Communities게스트 Kesha Cash · 진행자 Tawny HolguinKesha Cash and Tawny Holguin discuss impact, returns and the Mayvenn business model.
1:06:17ENLibratus Beat the World's Best Poker Players Without a Neural Network게스트 Tuomas Sandholm · 진행자 Lex FridmanTuomas Sandholm tells Lex Fridman how game theory, abstraction, and search — not deep learning — took heads-up no-limit Texas Hold'em, and why the harder work is deploying that toolkit outside the casino.
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