絞り込み結果
54 件並び順
41:40EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月30日ポッドキャスト · 2 人Every 10 Milliseconds Cost Copilot 1% of Completionsホスト Sarah Guo, Elad GilGitHub Copilot's chief architect, Alex Graveley, walks through how a leftover code model with a sub-10% test pass rate became a product developers would not quit — and what he is building next at Minion AI.
3:15:51EN
Lex 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.
3:08:32ENLex Fridman· 2021年3月4日ポッドキャスト · 2 人Ninety Minutes With the Door Shut: Cal Newport on Deep Work, Email, and a Life Built for the Worst Caseゲスト Cal Newport · ホスト Lex FridmanThe Georgetown computer scientist talks with Lex Fridman about attention, digital minimalism, a world without email, and why relationships are the only honest worst-case analysis.
2:46:57ENLex Fridman· 2020年10月18日ポッドキャスト · 2 人Programming Languages Are Bicycles for the Mindゲスト Chris Lattner · ホスト 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.
1:10:58ENLex Fridman· 2019年6月3日ポッドキャスト · 2 人The Hadoop Lesson That Made Google Give TensorFlow Awayゲスト Rajat Monga · ホスト 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.
1:25:13EN
Lenny's PodcastポッドキャストCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a Teammateホスト Lenny RachitskyCodex product lead Alexander Embiricos explains the 20x growth, why every useful agent may need to write code, and why human review speed is the real bottleneck.
1:39:51ENLenny's PodcastポッドキャストAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger Disasterホスト Lenny RachitskyDjango co-creator Simon Willison explains what changed in November 2025, how he works with coding agents, and why prompt injection remains the field's biggest unsolved risk.
1:11:06EN
Unsupervised Learning: With Jacob EffronポッドキャストReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software Creatorsホスト Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.
1:04:25ENUnsupervised Learning: With Jacob EffronポッドキャストInside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job Enduresホスト Jacob EffronGitHub CEO Thomas explains how Copilot went from a research bet to 1.3 million developers, and what agents, fine-tuning and a multi-model world mean for the next five years of software.
1:23:15ENLenny's Podcastポッドキャスト · 2 人Camille Fournier on Rewrites, One-on-Ones and Building Platform Teamsゲスト Camille Fournier · ホスト Lenny RachitskyThe author of The Manager's Path explains what annoys engineers about PMs, why rewrites are a trap, how to move into management, and what makes platform teams work.
1:32:32ENLenny's Podcastポッドキャスト · 2 人Devin's Scott Wu on Building an AI Software Engineer and Turning Coders into Architectsゲスト Scott Wu · ホスト Lenny RachitskyThe Cognition co-founder explains how his 15-person team uses fleets of Devins to build Devin, what the product can and can't do, and why he expects more engineers, not fewer.
50:03ENLenny's PodcastポッドキャストCopilot Is a Copilot, Not a Pilot: Inbal Shani on the Future of AI in Software Developmentホスト Lenny RachitskyGitHub's chief product officer explains what AI changes for developers, what it does not replace, and how teams should adopt it.
1:16:17ENLenny's Podcastポッドキャスト · 2 人Faster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI Eraゲスト Nicole Forsgren · ホスト Lenny RachitskyThe creator of DORA and SPACE explains why most productivity metrics mislead, how AI changes flow and trust, and how to build a developer experience program that proves its value.
1:05:00ENLenny's Podcastポッドキャスト · 2 人From Arctic Code Vault to Autocomplete: How GitHub Copilot Went From Moonshot to Productゲスト Ryan J. Salva · ホスト Lenny RachitskyGitHub VP of product Ryan J. Salva explains how a small research team's experiment became Copilot, and what it took to scale it responsibly.
1:16:53ENLenny's Podcastポッドキャスト · 2 人Engineering Leadership After ZIRP: Strategy, Systems and Accountabilityゲスト Will Larson · ホスト Lenny RachitskyCarta CTO Will Larson on how engineering management changed after the zero-interest-rate era, and the habits he relies on now: systems models, written strategy, shared incentives and honest values.
1:38:45ENLenny's PodcastポッドキャストWhen Coding Stops Being the Bottleneck: Inside Anthropic's Claude Code and Cowork Teamsホスト Lenny RachitskyFiona Fung, who leads the teams behind Claude Code and Cowork, describes how an engineering org that ships roughly eight times more code manages quality, hiring, metrics and culture.
1:36:57ENUnsupervised Learning: With Jacob EffronポッドキャストDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding Assistantホスト Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.
1:27:45ENLenny's PodcastポッドキャストCoding Is Solved, Says the Creator of Claude Code: Boris Cherny on What Comes Nextホスト Lenny RachitskyBoris Cherny, head of Claude Code at Anthropic, on the tool's origin, the principle of latent demand, and how work changes when engineers stop writing code by hand.
1:07:48ENLenny's PodcastポッドキャストMost Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI Eraホスト Lenny RachitskyThe creator of DORA and SPACE explains why lines of code and old pipeline metrics fall short with AI, and how to start improving developer experience by listening, surveying and tying results to what leaders care about.
1:41:26EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストThe AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on Scalingホスト Nathan LabenzNathan Labenz closes his AP-course tour of AI with capabilities, market moats, jobs, law, safety plans and a stance on what to do next.
1:09:56ENLenny's PodcastポッドキャストWhen Anyone Can Build Anything, Taste Becomes the Product Jobホスト Lenny RachitskyCodex desktop lead Andrew Ambrosino on how AI has inverted product development, why roles are blurring but shouldn't vanish, and where Codex and ChatGPT are headed.
1:26:42ENLenny's Podcastポッドキャスト · 2 人Inside Block's AI-Native Bet: Goose, Functional Orgs and Throwing Code Awayゲスト Dhanji R. Prasanna · ホスト Lenny RachitskyBlock CTO Dhanji Prasanna explains how a reorg, an open-source agent and a learning-first culture made the company unusually AI-forward.
1:11:13ENLenny's PodcastポッドキャストAfter Code: Cursor's CEO on Logic Design, Custom Models and Why One Winner Will Take the Marketホスト Lenny RachitskyMichael Truell explains how Cursor went from a mechanical-engineering pivot to a $300M ARR product, and where he thinks programming is heading.
1:02:06ENLex FridmanポッドキャストLearning TensorFlow Hands-On: From a Mystery Line to Handwritten Digitsホスト Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.もっと見る54 件中 24 件を表示