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  • "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
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    "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

    Erik Torenberg, Nathan Labenz

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  • Радио-Т 1011

    3 DAYS AGO

    1

    Радио-Т 1011

    00:00:00 Вступление 00:32:51 Ghostty уходит с GitHub 00:49:21 Проблемы с доступностью GitHub 01:06:51 Как сделать правильный GitHub 01:22:02 Zig как последний бастион без AI 01:39:57 Copy Fail 01:53:28 OpenAI пришли на Amazon Bedrock 02:00:21 Zed теперь 1.0 02:06:06 Темы слушателей аудио • лог чата

    3 days ago

    •
  • ИИ для каждого. Как (и зачем) децентрализовать искусственный интеллект

    5 DAYS AGO

    2

    ИИ для каждого. Как (и зачем) децентрализовать искусственный интеллект

    Искусственного интеллекта в нашей жизни станет только больше. При этом значительная часть вычислительных мощностей для него сосредоточена в руках нескольких крупных американских корпораций — Google, Microsoft, Amazon. Братья Даниил и Давид Либерманы считают, что такая централизация опасна, и строят альтернативную распределенную сеть по опыту Bitcoin. Этот эпизод — о борьбе с монополией на ИИ, мире с AGI и обществе изобилия Реклама. Рекламодатель АО «Селектел». erid: 2SDnjebM1xvSelectel — независимый провайдер, который поможет построить надежную и гибкую ИТ-инфраструктуру для проектов разной сложности, в том числе для масштабных задач: https://slc.tl/wkkak  ⚡️ У этого выпуска есть видеоверсия! Посмотрите ее на нашем YouTube-канале: https://www.youtube.com/@launchtomorrow Будем очень благодарны вам за подписку на канал, лайк и комментарий — это очень поможет нам делать видеоверсию и дальше! Сообщество Gonka в Discord: https://discord.gg/6Tpq98jdD9Инстаграм Давида и Даниила: https://www.instagram.com/libermans Приходите учиться на наших курсах! Скидка 10% по промокоду ЗАПУСК. Отзывы, результаты учеников, тарифы и остальные детали: course.libolibo.ru Чат Запуска в телеграме: https://t.me/zapuskzavtra Бот нашего подкаста:  https://t.me/zapuskzavtrabot Связаться: zapuskzavtra@gmail.com Редакторки: Маша Агличева и Маргарита Берденникова  Продюсеры: Данил Астапов, Аня Коваленко и Арон Косинов Монтажер и звукорежиссер:  Арсений Фильцев и Сергей Христолюбов Дизайнер обложки подкаста: Петр Сутупов

    5 days ago

    •
    54 min
  • Triple Play: Pragmata

    23 APR

    3

    Triple Play: Pragmata

    Kirk, Jason, and Maddy are playing Pragmata, a video game about being a dad in outer space. They talk about the unique hacking-shooting mechanics, the story (for what it is), and the beautiful 3D-printed world you get to explore.  One More Thing: Kirk: Reanimal Maddy: Matlock (the 2025 reboot starring Kathy Bates) Jason: Titanium Court LINKS: Was that viral essay written by AI? https://boxobark.ing/3mj42airv3s2o#fingerprints-of-the-beige-liebox Thanks to everyone who participated in this year's MaxFunDrive! Still want to get in on the action? Follow this link to support this show (and get in on our limited-time keychain sale to benefit the Center for Constitutional Rights): https://maximumfun.org/jointripleclick 🚀  SUPPORT TRIPLE CLICK:Join Maximum Fun | Buy TC Merch 💬 JOIN THE TRIPLE CLICK DISCORD 🎮 Triple Click Ethics Policy 📱 SOCIALS | @tripleclickpodInstagram | YouTube | TikTok | Twitch

    23 Apr

    •
    1hr 15min
  • Podlodka #475 – Django

    1 DAY AGO

    4

    Podlodka #475 – Django

    В ряду выпусков про фреймворки пополнение! Разбираемся, правда ли в Django есть все, что нужно для типичного веб-сервиса, и правда ли это лучший выбор для перфекционистов с дедлайнами! А помогает нам Артем Малышев. Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях!
 Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Женя Кателла, Стас Цыганов Полезные ссылки: Сайт Django https://www.djangoproject.com/

    1 day ago

    •
    1hr 57min
  • Радио-Т 1010

    25 APR

    5

    Радио-Т 1010

    00:00:00 Вступление 00:15:00 Проблема тестов в эпоху AI агентов 00:44:31 Нам не нужны ваши PR 01:00:58 Framework Laptop 13 Pro 01:15:31 Выход GPT-5.5 | OpenAI 01:33:18 Apple сменяет лидера 01:57:29 AI пришел за программистами Meta и Microsoft 02:16:57 Темы слушателей аудио • лог чата

    25 Apr

    •
  • Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

    20 MAR

    6

    Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

    What happens when AI agents can design experiments, collect data, and improve — without a human in the loop? Andrej Karpathy joins Sarah Guo on the state of models, the future of engineering and education, thinking about impact on jobs, and his project AutoResearch: where agents close the loop on a piece of AI research (experimentation, training, and optimization, autonomously). 00:00 Andrej Karpathy Introduction 02:55 What Capability Limits Remain? 06:15 What Mastery of Coding Agents Looks Like 11:16 Second Order Effects of Natural Language Coding 15:51 Why AutoResearch  22:45 Relevant Skills in the AI Era 28:25 Model Speciation 32:30 Building More Collaboration Surfaces for Humans and AI 37:28 Analysis of Jobs Market Data 48:25 Open vs. Closed Source Models 53:51 Autonomous Robotics 1:00:59 MicroGPT and Agentic Education 1:05:40 Conclusion

    20 Mar

    •
    1hr 7min
  • 525. HTML в Canvas, сайты для агентов, сомнительный Prompt API, альфа Astro 7 и путь к Zed 1.0

    2 DAYS AGO

    7

    525. HTML в Canvas, сайты для агентов, сомнительный Prompt API, альфа Astro 7 и путь к Zed 1.0

    Простой способ сказать нам «спасибо» и попасть в закрытый чат: • Boosty• Patreon Ведущие: Никита Дубко, Алексей Симоненко, Полина Гуртовая Темы 00:00:00 Интро00:01:30 HTML в Canvas00:21:41 Сайты для агентов00:39:35 Сомнительный Prompt API01:15:55 Альфа Astro 701:25:34 Путь к Zed 1.0 Смотрите нас • Лайв на Ютубе HTML в Canvas • The Web Is Fun Again: First Experiments with HTML in Canvas Сайты для агентов • Build agent-friendly websites Сомнительный Prompt API • Mozilla Standards Positions: Prompt API• Explainer for the Prompt API Альфа Astro 7 • Astro v7 alpha• Vite 8.0 is out! Путь к Zed 1.0 • Zed is 1.0• Zed 1.0.0 release notes Ответы на вопросы podcast@web-standards.ru Читайте новости • Telegram• X• VK• Facebook• Mastodon• Bluesky• LinkedIn

    2 days ago

    •
    1hr 49min
  • How Intercom 2x’d their engineering velocity in 9 months with Claude Code | Brian Scanlan

    20 APR

    8

    How Intercom 2x’d their engineering velocity in 9 months with Claude Code | Brian Scanlan

    Brian Scanlan is a senior principal engineer at Intercom, where he’s led the company’s transformation to AI-first engineering. In just nine months, Intercom doubled their R&D throughput while maintaining code quality, with 100% of engineers—plus designers, PMs, and TPMs—now shipping code via Claude Code. What you’ll learn: How Intercom doubled their merged PRs per R&D employee in just nine months using Claude CodeThe telemetry infrastructure they built to measure AI adoption and quality across hundreds of engineersWhy they built a skills repository with hooks that enforce engineering standards automaticallyHow they’re preparing their product for an agent-first world with CLIs, MCPs, and ephemeral APIsThe permission and accountability framework that enabled rapid AI adoptionWhy backlog zero is now achievable and what that means for engineering culture— Brought to you by: Celigo—Intelligent automation built for AI Cursor—The best way to code with AI — In this episode, we cover: (00:00) Introduction to Brian Scanlan (02:40) Why Intercom went all-in on AI for both product and engineering (05:01) The breakthrough moment with Opus 4.6 and Christmas break 2025 (07:02) Demo: Intercom’s merged PRs per R&D head (12:50) Agent-first work as a fundamental reimagining of technical workflows (14:27) The cost tradeoff: treating AI spend as an investment (16:47) Measuring quality (21:22) Demo: Shipping a redirect in the Rails monolith with Claude Code (24:03) Creating a custom PR skill (26:33) Building a software factory with predictable quality standards (30:15) Telemetry infrastructure: Honeycomb for skill usage tracking (32:10) Session data collection and personalized usage insights (36:08) Quick overview (39:20) Walking through Intercom’s skills repository (42:16) Deep dive: The flaky spec skill and how it reached 100x capability (46:44) The “and then” workflow for building comprehensive skills (52:31) The live website and overview of workflows (53:32) How internal AI experience informs customer product decisions (56:18) Making SaaS products agent-friendly with CLIs and helpful hints (01:03:49) Why conversion drop-off is invisible in agent-driven workflows (01:05:28) Lightning round and final thoughts — Detailed workflow walkthroughs from this episode: • How Intercom Doubled Engineering Output: Brian Scanlan's 4 AI Workflows for Claude Code: https://www.chatprd.ai/how-i-ai/how-intercom-doubled-engineering-output-brian-scanlan-ai-workflows-for-claude-code • Design an Agent-Friendly CLI to Automate SaaS Product Onboarding: https://www.chatprd.ai/how-i-ai/workflows/design-an-agent-friendly-cli-to-automate-saas-product-onboarding • Build a Self-Improving AI Agent to Automatically Fix Flaky Tests: https://www.chatprd.ai/how-i-ai/workflows/build-a-self-improving-ai-agent-to-automatically-fix-flaky-tests • Automate High-Quality Pull Request Descriptions with a Custom AI Skill: https://www.chatprd.ai/how-i-ai/workflows/automate-high-quality-pull-request-descriptions-with-a-custom-ai-skill — Tools referenced: • Claude Code: https://claude.ai/code • Cursor: https://cursor.com/ • Honeycomb: https://www.honeycomb.io/ • Snowflake: https://www.snowflake.com/ • Fin AI: https://www.intercom.com/fin • Vercel: https://vercel.com/ — Other references: • Intercom GitHub Repo: https://github.com/intercom • Google API Go Client Repo: https://github.com/googleapis/google-api-go-client — Where to find Brian Scanlan: X: https://x.com/brian_scanlan LinkedIn: https://www.linkedin.com/in/scanlanb/ Company: https://www.intercom.com — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

    20 Apr

    •
    1hr 19min
  • From Vector Databases to Knowledge Engines: The Next Layer of AI

    20 HR AGO

    9

    From Vector Databases to Knowledge Engines: The Next Layer of AI

    Peter Levine speaks with Ash Ashutosh, CEO of Pinecone, about the launch of Nexus and the shift from vector databases to knowledge engines. As agents become the primary users of software, they discuss why traditional retrieval systems break down and how AI systems need to evolve to support machine-to-machine interactions. The conversation explores how agents currently spend most of their time retrieving and reasoning over data, why that approach is inefficient, and how moving reasoning closer to the data can dramatically improve performance, accuracy, and cost. Ash also explains how Pinecone is rethinking the stack for agentic applications, introducing new abstractions, query languages, and developer workflows.   Resources: Follow Ash Ashutosh on X: https://x.com/ashashutosh Follow Peter Levine on LinkedIn: https://www.linkedin.com/in/peter-levine-681386172/   Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.   Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    20 hr ago

    •
    46 min
  • The Creator of Spring Thinks You Can't Code Serious Software With AI

    1 DAY AGO

    10

    The Creator of Spring Thinks You Can't Code Serious Software With AI

    Rod Johnson — the creator of Spring Framework and founder of Embabel — joins Simon Maple on the AI Native Dev Podcast to share his unfiltered take on where enterprise AI is actually heading. In this episode, Rod breaks down why enterprises are making a huge mistake rewriting Java apps in Python, why vibe coding will destroy your codebase if left unchecked, and why this might be the last generation of frameworks that developers ever choose for themselves. Rod also pulls back the curtain on Embabel — the new JVM-native agentic framework he's building — including how it borrows its planning algorithm from NPC AI in video games, why he's skeptical of MCP despite its hype, and the AI failure pattern he keeps seeing in large enterprises. Whether you're a Java developer navigating the AI wave or a tech lead trying to figure out where to actually invest, this is essential listening. Topics covered: 0:00 Intro — Rod Johnson, Spring creator, returns to building 5:16 PhD in 19th century Parisian piano music (yes, really) 6:15 What made Rod come back and build Embabel 7:36 "The universe would end before Python could execute inference" 13:08 The #1 enterprise AI failure pattern Rod keeps seeing 16:23 "You cannot vibe code serious software" 19:37 Why Embabel uses a video game NPC planning algorithm 27:47 Why Rod is an MCP skeptic 53:54 "This is the last wave of frameworks chosen by people" Links: 🔗 Embabel: https://embabel.com 🎟 AI Native Dev London (June 1–2): https://ainativedev.io — use code POD30 for 30% off. Subscribe for weekly conversations with the engineers and founders building the future of AI-native development. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    1 day ago

    •
    57 min

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