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32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 nov 2023Pódcast · 2 vocesA 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIPresenta: Sarah Guo, Elad GilArthur Mensch tells No Priors why Chinchilla made small models valuable, why open-sourcing Mistral 7B is not a bioweapon risk, and why guardrails belong on the application.
1:25:11EN
Cognitive Revolution "How AI Changes Everything"· 26 oct 2023Pódcast105 lines of code, a million impressions, and a VC who refused to found the companyPresenta: 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.
29:38ENNo Priors: AI, Machine Learning, Tech, & Startups· 21 sept 2023Pódcast · 2 vocesA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Presenta: 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.
55:13ENCognitive Revolution "How AI Changes Everything"· 7 sept 2023PódcastTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI TownPresenta: Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.
1:01:09ENCognitive Revolution "How AI Changes Everything"· 31 ago 2023PódcastHugging Face Raised $235M. Community Still Is Not a MoatPresenta: 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.
1:39:53ENCognitive Revolution "How AI Changes Everything"· 8 ago 2023PódcastUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer IntelligencePresenta: 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.
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Matthew Berman· 18 jul 2023Petals: Distributing Large Language Model Inference Across DevicesMatthew Berman · Forward FutureIn 2023, Matthew Berman explains Petals as a way to use large models through a network of participating computers rather than loading every layer on one device.
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Lex Fridman· 29 jun 2023Pódcast · 2 vocesWho owns the off switch? George Hotz on tinygrad, open-source AI, and GodInvitado: George Hotz · Presenta: 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.
1:32:22ENCognitive Revolution "How AI Changes Everything"· 29 jun 2023PódcastA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayPresenta: 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.
3:15:07ENLex Fridman· 18 jun 2023Pódcast · 2 vocesWikipedia Worked Once Writing Stopped Feeling Like Grad SchoolInvitado: Jimmy Wales · Presenta: 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.
2:41:58ENLex Fridman· 8 jun 2023Pódcast · 2 vocesZuckerberg showed up as Mark Elliott — then argued for many AIs, not oneInvitado: Mark Zuckerberg · Presenta: 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.
2:07:04ENLex Fridman· 28 may 2023Pódcast · 2 vocesThe Ribosome Already Solved Digital ManufacturingInvitado: Neil Gershenfeld · Presenta: 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.
7:37ENMatthew Berman· 25 may 2023Smol Developer: Generating a Small Python Project From a PromptMatthew Berman · Forward FutureMatthew Berman walks through a 2023 project generator, from a simple Ruby example to a multi-file ChatGPT API program.
59:38EN
Jane Street· 18 may 2023Richard Eisenberg on Dependent Types, OCaml, and AI-Assisted ProgrammingYaron Minsky, Richard Eisenberg · Jane StreetHow type systems can express correctness and performance, and why precise, readable specifications still matter when AI writes code.
1:26:20ENCognitive Revolution "How AI Changes Everything"· 2 mar 2023PódcastForty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of MLPresenta: 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.
37:26ENNo Priors: AI, Machine Learning, Tech, & Startups· 23 feb 2023Pódcast · 2 vocesWithout Open Source, Machine Learning Would Be Decades BehindPresenta: 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.
45:03ENNo Priors: AI, Machine Learning, Tech, & Startups· 16 feb 2023Pódcast · 2 vocesEmad Mostaque’s bet: open small models, not one giant brainPresenta: 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.
3:15:51ENLex Fridman· 26 nov 2022Pódcast · 2 vocesPython Is a Recipe Written for Two ReadersInvitado: Guido van Rossum · Presenta: Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.
5:14:50ENLex Fridman· 4 ago 2022Pódcast · 2 vocesThe best programming language is the one you already useInvitado: John Carmack · Presenta: 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.
2:10:08ENLex Fridman· 26 jul 2022Pódcast · 2 vocesGato Is Only the BeginningInvitado: Oriol Vinyals · Presenta: Lex FridmanDeepMind's Oriol Vinyals talks with Lex Fridman about generalist agents, thrown-away weights, and whether human-level AGI arrives in his lifetime.
2:46:40ENLex Fridman· 23 dic 2021Pódcast · 2 vocesThe Tools That Fit in a Head Were Built by People Who Fit in a VanInvitado: Peter Wang · Presenta: 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.
1:01:11ENJane Street· 3 nov 2021Anil Madhavapeddy on MirageOS and the Evolution of Operating SystemsYaron Minsky, Anil Madhavapeddy · Jane StreetFrom Xen and unikernels to OCaml's multicore research, a systems researcher explains how changing abstractions reshape infrastructure.
1:00:04ENJane Street· 6 oct 2021Ty Overby on Bonsai and Building Functional User InterfacesYaron Minsky, Ty Overby · Jane StreetWhy Jane Street built a composable OCaml UI framework, and what its design reveals about incremental computation, browsers, and visual programming.
3:05:24ENLex Fridman· 22 sept 2021Pódcast · 2 vocesTravis Oliphant wrote NumPy in an empty semester — and still wants open source to payInvitado: Travis Oliphant · Presenta: Lex FridmanThe creator of NumPy, SciPy, and Anaconda tells Lex Fridman how array thinking, a priced book, and the packaging wars shaped scientific Python.Cargar másMostrando 24 de 117