最新の記事
4,472 件並び順
2:07:04ENThe 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.
1:36:25ENTomer Cohen on LinkedIn Product Decisions and the AI Shiftゲスト Tomer Cohen · ホスト Harry StebbingsLinkedIn’s product chief discusses failed Stories, feed redesign, feedback practices and how AI could change the work of product teams.
0:59ENGenerative Agents as Characters in a Simulated WorldMatthew Berman · Forward FutureMatthew Berman introduces a Stanford and Google research architecture for language-model characters that interact in a sandbox.
1:20:49ENA Wafer-Scale Chip So AI Stops Waiting on Amdahlホスト Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.
7:37ENSmol 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.
3:10:04ENTeachers keep getting fired for assigning Randall Kennedy's bookゲスト Randall Kennedy · ホスト Lex FridmanHarvard law professor Randall Kennedy tells Lex Fridman why he put English's most explosive slur on a book cover — and why blanking it, he argues, erases the history it carries.
1:18:41ENGuy Podjarny on Snyk, Product-Market Fit and Building Durable Advantageゲスト Guy Podjarny · ホスト Harry StebbingsThe Snyk founder and angel investor explains how to reason about future markets, focus messaging and learn through iteration.
54:56ENKevin Scott Seized Microsoft's GPU Budget, Bet on OpenAI, and Still Didn't See ChatGPT Comingホスト Sarah Guo, Elad GilFive months after ChatGPT launched, Microsoft's CTO walked No Priors through the all-in bet, the Copilot stack, and why he is still bullish on jobs.
5:49ENIan on Software Engineering at Jane StreetIan · Jane StreetA London desk developer explains code review, OCaml training, intern projects and the feedback that comes from sitting near users.
6:42ENEzio on Linux Engineering and Collaboration at Jane StreetEzio · Jane StreetA London engineer explains his team’s infrastructure work, the Pride community group and why new hires should ask questions.
4:51ENRachel on Trading Desk Operations at Jane StreetRachel · Jane StreetA London trading desk operations professional describes her daily work, collaboration, interview advice and experience of the firm's culture.
1:33:51ENGPT-4 still writes SQL that will not run. She put a guardrail on the modelホスト Nathan LabenzShreya Rajpal built Guardrails AI so developers can encode what “correct” means, validate the pieces, and send failures back to the model instead of hoping the prompt holds.
1:29:33ENNico Wittenborn on Consumer Subscriptions and Solo Investingゲスト Nico Wittenborn · ホスト Harry StebbingsThe Adjacent founder discusses retention, acquisition, fund construction and how evolving trends shape early-stage bets.
1:25:35ENTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical Schoolホスト Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.
10:16ENDarkBERT: Adapting a Language Model to Dark-Web TextMatthew Berman · Forward FutureMatthew Berman reviews research on a RoBERTa-based model and its cybersecurity evaluations.
50:24ENRyan Wiggins on Growth Systems, WhatsApp and Hiringゲスト Ryan Wiggins · ホスト Harry StebbingsMercury’s growth leader explains retention, experiments, small teams and the transition from product-market fit to repeatable growth.
1:38:22ENSix days after “slow down,” the plugins went liveホスト Nathan LabenzConjecture CEO Connor Leahy talks GPT-4, the magic of black-box models, and cognitive emulation as a bounded alternative to god-like AGI.
42:18ENTen Percent of Search Is Health — and the Doctor Is Googling Tooホスト Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.
59:38ENRichard 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.
2:18:49ENAfter the Big Bang, the universe was a thin soupゲスト Anna Frebel · ホスト Lex FridmanMIT astrophysicist Anna Frebel tells Lex Fridman how leftover stars in the Milky Way still carry the chemistry of the first billion years, and how our galaxy grew by eating its neighbors.
8:54ENStableStudio in 2023: A Local Interface for Hosted Image GenerationMatthew Berman · Matthew BermanMatthew Berman walks through Stability AI’s open-source interface, its image tools and the setup that still required a hosted API.
57:23ENSam Altman, Gary Marcus and IBM Testify on AI Risks: Matthew Berman ReactsMatthew Berman, Sam Altman, Christina Montgomery, Gary Marcus, Richard Blumenthal, Josh Hawley, Amy Klobuchar, Mazie Hirono, John Kennedy, Chris Coons, Peter Welch · Forward FutureBerman reviews selected 2023 Senate hearing excerpts on safety testing, misinformation, jobs, licensing and the proposed AI pause.
1:11:11ENEmad Mostaque on Open AI Models, National Data and the Race to Deployゲスト Emad Mostaque · ホスト Harry StebbingsThe Stability AI co-founder describes his 2023 vision for open models, healthcare applications and AI businesses, alongside concerns about a speculative boom.
11:15ENWhat Sam Altman’s 2023 Senate Testimony Said About AI RisksSam Altman, Gary Marcus · OpenAIA contemporary analysis of the hearing’s debates over jobs, military use, regulation and future model capabilities.
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