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104개정렬
1:25:11EN105 lines of code, a million impressions, and a VC who refused to found the company진행자 Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.
29:38ENA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.진행자 Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.
55:13ENTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI Town진행자 Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.
1:01:09ENHugging Face Raised $235M. Community Still Is Not a Moat진행자 Nathan LabenzNathan Labenz and Erik Torenberg unpack Hugging Face's $4.5 billion Series D, and why a thriving open-source hub may still struggle to become a locked-in business.
1:39:53ENUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer Intelligence진행자 Nathan LabenzMichele Catasta, Replit's new VP of AI, lays out a generate-execute-learn loop he will not call AGI, a 2x-to-1000x productivity ladder, and a keystroke-level data advantage.
3:08:46ENWho owns the off switch? George Hotz on tinygrad, open-source AI, and God게스트 George Hotz · 진행자 Lex FridmanOn his third Lex Fridman podcast, the comma.ai and tiny corp founder argues that compute, intelligence, and the off switch should live in people's houses, not in a trusted few.
1:32:22ENA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer Away진행자 Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.
3:15:07ENWikipedia Worked Once Writing Stopped Feeling Like Grad School게스트 Jimmy Wales · 진행자 Lex FridmanJimmy Wales tells Lex Fridman how Nupedia's seven-stage review died, why Wikipedia still refuses ads and governments, and what large language models should actually do with an encyclopedia.
2:41:58ENZuckerberg showed up as Mark Elliott — then argued for many AIs, not one게스트 Mark Zuckerberg · 진행자 Lex FridmanOn his second Lex Fridman podcast, the Meta CEO treats a disguised first jiu-jitsu tournament, an open research model called LLaMA, and a future of many agents as the same bet: ship before it is perfect, and do not build a single god model.
2:07:04ENThe Ribosome Already Solved Digital Manufacturing게스트 Neil Gershenfeld · 진행자 Lex FridmanNeil Gershenfeld tells Lex Fridman why Turing separated the head from the tape, how fab labs are the personal-computer moment for making things, and what it would take to grow a civilization from about twenty parts.
1:26:20ENForty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of ML진행자 Nathan LabenzChroma co-founder Anton Troynikov on embeddings as the storage layer for language-model apps, Stable Attribution, and why machine learning is still flying on intuition.
37:26ENWithout Open Source, Machine Learning Would Be Decades Behind진행자 Sarah Guo, Elad GilHugging Face CEO Clem Delangue on the Tamagotchi pivot, why the company never hired a community manager, and why he does not believe one model will rule them all.
45:03ENEmad Mostaque’s bet: open small models, not one giant brain진행자 Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.
3:15:51ENPython Is a Recipe Written for Two Readers게스트 Guido van Rossum · 진행자 Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.
5:14:50ENThe best programming language is the one you already use게스트 John Carmack · 진행자 Lex FridmanJohn Carmack talks with Lex Fridman about languages, id Software, VR, rockets, and why AGI might be tens of thousands of lines of code.
2:10:08ENGato Is Only the Beginning게스트 Oriol Vinyals · 진행자 Lex FridmanDeepMind's Oriol Vinyals talks with Lex Fridman about generalist agents, thrown-away weights, and whether human-level AGI arrives in his lifetime.
2:46:40ENThe Tools That Fit in a Head Were Built by People Who Fit in a Van게스트 Peter Wang · 진행자 Lex FridmanAnaconda's Peter Wang talks with Lex Fridman about Python, cybernetic systems, and why sharing software creates value that scarcity economics still cannot price.
3:05:24ENTravis Oliphant wrote NumPy in an empty semester — and still wants open source to pay게스트 Travis Oliphant · 진행자 Lex FridmanThe creator of NumPy, SciPy, and Anaconda tells Lex Fridman how array thinking, a priced book, and the packaging wars shaped scientific Python.
2:21:27ENThe IBM Manual Was So Bad He Became a Computer Scientist게스트 Donald Knuth · 진행자 Lex FridmanDonald Knuth talks with Lex Fridman about first programs on an IBM 650, literate programming, the Knuth-Morris-Pratt algorithm, and the hardest theorem he ever proved.
2:54:52ENThe Marvelous Proof Still Lives in the Margin진행자 Lex FridmanLuís and João Batalha, the brothers behind Fermat's Library, talk with Lex Fridman about hidden backstories, a publishing system that buys its own work twice, and how to sit with a paper until it finally clicks.
2:31:59ENBitcoin Is an Island of Sturdiness: Nic Carter on Money That Cannot Be Tuned게스트 Nic Carter · 진행자 Lex FridmanLex Fridman talks with Castle Island Ventures partner Nic Carter about Bitcoin’s embedded values, the block size war, layered scaling, and why Satoshi’s exit still matters.
3:03:38ENA Ten-Day Language That Still Runs the Web게스트 Brendan Eich · 진행자 Lex FridmanBrendan Eich tells Lex Fridman how JavaScript, Firefox, Mozilla, and Brave were built from rushed bets, open-source escape pods, and accidental tracking.
1:49:56ENA 21-Year-Old at a Party Called GameStop. He Was Right.게스트 Richard Craib · 진행자 Lex FridmanNumerai founder Richard Craib talks with Lex Fridman about WallStreetBets, crowdsourced machine learning, and why finance is a machine for pulling the future into the present.
2:46:57ENProgramming Languages Are Bicycles for the Mind게스트 Chris Lattner · 진행자 Lex FridmanChris Lattner talks with Lex Fridman about Swift, LLVM, RISC-V, and why the next leap in computing is as much a language problem as a silicon one.
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