絞り込み結果
117 件並び順
32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年11月9日ポッドキャスト · 2 人A 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIホスト 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"· 2023年10月26日ポッドキャスト105 lines of code, a million impressions, and a VC who refused to found the companyホスト 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· 2023年9月21日ポッドキャスト · 2 人A Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.ホスト 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"· 2023年9月7日ポッドキャストTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI Townホスト 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"· 2023年8月31日ポッドキャストHugging Face Raised $235M. Community Still Is Not a Moatホスト 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"· 2023年8月8日ポッドキャストUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer Intelligenceホスト 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.
5:53EN
Matthew Berman· 2023年7月18日Petals: 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.
3:08:46EN
Lex Fridman· 2023年6月29日ポッドキャスト · 2 人Who owns the off switch? George Hotz on tinygrad, open-source AI, and Godゲスト George Hotz · ホスト 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"· 2023年6月29日ポッドキャストA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer Awayホスト 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· 2023年6月18日ポッドキャスト · 2 人Wikipedia Worked Once Writing Stopped Feeling Like Grad Schoolゲスト Jimmy Wales · ホスト 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· 2023年6月8日ポッドキャスト · 2 人Zuckerberg showed up as Mark Elliott — then argued for many AIs, not oneゲスト Mark Zuckerberg · ホスト 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· 2023年5月28日ポッドキャスト · 2 人The Ribosome Already Solved Digital Manufacturingゲスト Neil Gershenfeld · ホスト 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· 2023年5月25日Smol 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· 2023年5月18日Richard 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"· 2023年3月2日ポッドキャストForty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of MLホスト 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· 2023年2月23日ポッドキャスト · 2 人Without Open Source, Machine Learning Would Be Decades Behindホスト 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· 2023年2月16日ポッドキャスト · 2 人Emad Mostaque’s bet: open small models, not one giant brainホスト 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· 2022年11月26日ポッドキャスト · 2 人Python Is a Recipe Written for Two Readersゲスト Guido van Rossum · ホスト 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· 2022年8月4日ポッドキャスト · 2 人The best programming language is the one you already useゲスト John Carmack · ホスト 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· 2022年7月26日ポッドキャスト · 2 人Gato Is Only the Beginningゲスト Oriol Vinyals · ホスト 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· 2021年12月23日ポッドキャスト · 2 人The Tools That Fit in a Head Were Built by People Who Fit in a Vanゲスト Peter Wang · ホスト 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· 2021年11月3日Anil 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· 2021年10月6日Ty 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· 2021年9月22日ポッドキャスト · 2 人Travis Oliphant wrote NumPy in an empty semester — and still wants open source to payゲスト Travis Oliphant · ホスト Lex FridmanThe creator of NumPy, SciPy, and Anaconda tells Lex Fridman how array thinking, a priced book, and the packaging wars shaped scientific Python.もっと見る117 件中 24 件を表示