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  • Techsplainers by IBM
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  • AI Unraveled: Latest AI News, ChatGPT, Gemini, Claude, DeepSeek, Gen AI, LLMs, Agents, Ethics, Bias
    AI Unraveled: Latest AI News, ChatGPT, Gemini, Claude, DeepSeek, Gen AI, LLMs, Agents, Ethics, Bias

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    AI Unraveled: Latest AI News, ChatGPT, Gemini, Claude, DeepSeek, Gen AI, LLMs, Agents, Ethics, Bias

    Etienne Noumen

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  • Nike

    25/07/2023

    1

    Nike

    Nike — it’s perhaps the most iconic and most prolific brand of the modern era. On any given day, swooshes adorn the feet of more people on earth than any other footwear company — by a long shot. If you read Shoe Dog or watched Air, you may think you know its history. But Shoe Dog ends in 1980, and Air… well let’s just say it’s an enjoyable piece of fiction. And it turns out (as always) that the real story is filled with far more drama, twists and business lessons than either of those works. We’ve been wanting to cover Nike for a long time, and thanks to our LPs who voted to choose this episode it’s finally here. So lace up your Vaporflys, Air Maxes, Dunks or Jordans (or your Monarchs, hey we don’t judge), head out for a long run or walk and enjoy! Links: Episode sourcesCarve Outs: Marc Andreessen on Lex Fridman and on Ben ThompsonSpeak Now (Taylor’s Version) Sponsors: WorkOS: https://bit.ly/workos25Intapp: https://bit.ly/intappcelesteSentry: https://bit.ly/acquiredsentryAnthropic: https://bit.ly/acquiredclaude25 More Acquired! Get email updates with hints on next episode and follow-ups from recent episodesJoin the SlackSubscribe to ACQ2Merch Store!© Copyright 2015-2026 ACQ, LLC ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    25/07/2023

    •
    4h 3m
  • 524. Firefox 150, Git 2.54, параллельные агенты в Zed, бета TypeScript 7.0, картинки и Temporal

    1 DAY AGO

    2

    524. Firefox 150, Git 2.54, параллельные агенты в Zed, бета TypeScript 7.0, картинки и Temporal

    Простой способ сказать нам «спасибо» и попасть в закрытый чат: • Boosty• Patreon Ведущие: Полина Гуртовая, Вадим Макеев, Алексей Симоненко Темы 00:00:00 Интро00:01:00 Переезд сайта00:02:55 Новинки Firefox 15000:21:03 Git 2.5400:33:10 Параллельные агенты в Zed00:53:44 Бета TypeScript 7.001:09:03 Конец адаптивных картинок01:23:46 Temporal в Node.js Смотрите нас • Лайв на Ютубе Новинки Firefox 150 • Firefox 150 release notes for developers• Creating a more accessible web with Aria Notify Git 2.54 • Highlights from Git 2.54• Entire Параллельные агенты в Zed • Introducing Parallel Agents in Zed• Gram Бета TypeScript 7.0 • Announcing TypeScript 7.0 Beta Конец адаптивных картинок • The end of responsive images Temporal в Node.js • Enable Temporal by default Ответы на вопросы podcast@web-standards.ru Читайте новости • Telegram• X• VK• Facebook• Mastodon• Bluesky• LinkedIn

    1 day ago

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    1hr 29min
  • Snapchat CEO: Why distribution has become the most important moat | Evan Spiegel

    2 DAYS AGO

    3

    Snapchat CEO: Why distribution has become the most important moat | Evan Spiegel

    Evan Spiegel, the co-founder and CEO of Snap, is one of the very few people in the world who has successfully built and scaled a lasting consumer social product. Snapchat has nearly 1 billion MAUs, and Evan and his team invented some of the most important consumer products and features, including Stories, AR glasses, swipe-based navigation, the camera as the primary UX, and a lot more. In our in-depth conversation, we discuss: 1. Why distribution is now the biggest challenge for creating a consumer technology business 2. How Snap innovates at scale with a 9-to-12-person design team: no titles, no hierarchy, hundreds of ideas reviewed weekly with the CEO 3. Why a pure software business is no longer a moat, and what actually creates durable competitive advantages today 4. How AI is changing the way designers work and why they’re now shipping code 5. Why every major Snap feature was copied and how that forced the company to work differently 6. Evan’s prediction that humanity’s comfort with AI will be a bigger bottleneck than the technology itself 7. This year’s crucible moment for Snap — Brought to you by: WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/snapchat-ceo-why-distribution-is — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Evan Spiegel: • X: https://x.com/evanspiegel • Snapchat: https://www.snapchat.com/@evan • LinkedIn: https://www.linkedin.com/in/evan-spiegel • Website: https://www.spiegelfamilyfund.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Evan Spiegel (02:28) Why consumer social products are so hard to build (04:31) How Snapchat cracked distribution with close friends, not network size (05:50) Why distribution is the new moat in the AI era (08:39) Snapchat’s innovation track record (and why software isn’t a moat) (11:39) Why Snap is betting on two of the hardest businesses: consumer social and hardware (16:00) Specs use cases (17:56) The innovation process (21:34) The velocity of design work at Snapchat (25:07) Why Evan says you must talk to customers (26:06) The origin story of Stories (28:25) How screenshot detection saved early Snapchat (31:03) Why they waited to hire PMs—and what role they play now (34:41) How AI is shifting the designer-PM-engineer triad (36:10) Design as an intentional bottleneck for product cohesion (37:24) Why staying close to customers matters for any leader (39:39) What Evan looks for when hiring designers (41:57) How to develop young design talent (44:16) Designers shipping code with AI—and the guardrails needed at scale (47:20) Using jobs-to-be-done to organize AI transformation (48:50) How the CEO job has changed over 15 years (51:30) Learning to communicate (54:08) Why this year is Snapchat’s “crucible moment” (56:22) Being the “middle child” in tech (57:51) Screen-time philosophy with four kids (ages 2 to 15) (1:01:08) AI Corner (1:04:02) Contrarian Corner (1:06:04) Lightning round and final thoughts — References: https://www.lennysnewsletter.com/p/snapchat-ceo-why-distribution-is — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    2 days ago

    •
    1hr 10min
  • The $9B Startup That Wants to Create a Billion New Developers

    3 DAYS AGO

    4

    The $9B Startup That Wants to Create a Billion New Developers

    Replit is the leading no-code app builder for consumers and enterprise, letting anyone with an idea build real, deployed software using natural language. The company just raised a $400 million Series D at a $9 billion valuation.In this episode of Founder Firesides, co-founder and CEO Amjad Masad sat down with YC's Andrew Miklas to talk about Replit's 10-year journey from browser IDE to vibe coding platform, why the people getting the most value aren't traditional developers but founders and domain experts closest to the problem, and what Agent 4 unlocks with parallel agents, built-in design, and the ability to run your entire company on Replit.

    3 days ago

    •
    39 min
  • How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)

    5 DAYS AGO

    5

    How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)

    Cat Wu is Head of Product for Claude Code and Cowork at Anthropic, building one of the most important AI products of this generation. Before joining Anthropic, Cat spent years as an engineer and briefly worked in VC. Today, she’s interviewing hundreds of product managers who are trying to break into AI—and seeing firsthand what separates those who thrive from those who fall behind. We discuss: 1. How Anthropic’s shipping cadence went from months to weeks to days 2. The emerging skills PMs need to develop right now 3. Why you need to build products that don’t yet fully work, so you’re ready when the next model closes the gap 4. Cat’s most underrated AI skill: asking the model to introspect on its own mistakes 5. Why Claude’s personality is core to its success 6. Why Anthropic’s mission alignment eliminates the friction that slows most large organizations 7. Why “just do things” is the most important principle for working at AI-native companies — Brought to you by: WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs Vanta—Automate compliance, manage risk, and accelerate trust with AI — Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Cat Wu: • X: https://x.com/_catwu • LinkedIn: linkedin.com/in/cat-wu • Newsletter: https://catwu.substack.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Cat Wu (01:29) Working with Boris Cherny (04:29) What Anthropic looks for when hiring PMs (06:18) How to help your teams move fast (08:58) How PRDs and roadmaps have evolved at Anthropic (10:28) The Mythos model and Anthropic’s shipping velocity (11:54) What happened with the Claude Code source code leak (12:53) Integrating with OpenClaw (14:19) How the PM team is structured at Anthropic (15:42) How engineer and PM roles are merging (17:54) Why product taste is the most valuable skill (20:10) Where human brains will continue to be useful (22:23) How to stay sane in constant chaos (24:16) What gets sacrificed when you ship so fast (27:47) The /powerup command (28:32) Why Anthropic has been so successful (32:28) When to use Claude Code vs. Desktop vs. Cowork (35:58) Tips for getting started with Cowork (38:44) Demo: Using Cowork to build slide decks overnight (41:48) Cat’s PM tech stack and internal tools (46:47) Which teams use the most tokens (51:15) The emerging skills PMs need for AI companies (55:00) Why building evals is underappreciated (58:44) Why Claude’s character and personality matter so much (1:00:44) How new models force product changes (1:05:11) The vision for Claude Code and Cowork (1:07:22) Advice for thriving in an AI-driven world (1:09:18) Why 95% automation isn’t good enough (1:11:58) Build apps you use every day, not prototypes (1:13:41) The divide between AI skeptics and believers (1:15:19) Lightning round — Referenced: https://www.lennysnewsletter.com/p/how-anthropics-product-team-moves — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    5 days ago

    •
    1hr 26min
  • Jim Bugwadia on why finding a Kubernetes problem is only half the battle for Kyverno users

    5 DAYS AGO

    6

    Jim Bugwadia on why finding a Kubernetes problem is only half the battle for Kyverno users

    Graduating within the CNCF marks a major milestone for an open source project, signaling not just technical maturity but strong governance, security practices, and widespread adoption. Kyverno, a Kubernetes policy engine, reached this stage after five years — becoming only the 35th project to progress from sandbox to graduation. As co-founder Jim Bugwadia explains, incubation reflects production readiness and adoption, while graduation validates the project’s long-term sustainability and governance rigor. Originally built to help teams manage Kubernetes complexity through declarative policies, Kyverno has evolved alongside the ecosystem. Its shift to the Kubernetes-native Common Expression Language (CEL) and rising demand driven by AI workloads have expanded its user base beyond regulated industries to mainstream enterprises. With over three billion downloads, it underscores the growing need for automated policy enforcement across development, security, and operations teams. Commercially, Nirmata maintains a clear boundary between open source and enterprise offerings, focusing on remediation and advanced management. While only 2–5% of users convert, that small percentage becomes meaningful at Kyverno’s scale. Learn more from The New Stack around the latest about Kyverno: Simplify Kubernetes Security With Kyverno and OPA Gatekeeper Using the Kyverno CLI to Write Policy Test Cases Join our community of newsletter subscribers to stay on top of the news and at the top of your game.

    5 days ago

    •
    23 min
  • Tim Cooked and Now it's John's Ternus!

    4 DAYS AGO

    7

    Tim Cooked and Now it's John's Ternus!

    This week, Marques and David are steering the ship while Andrew is out. So much happened including Tim Cook stepping down as CEO of Apple, Pixel laptop rumors, and Steph Curry kind of leaking the new Fitbit wearable. Of course, we wrap it all up with trivia. It's a fun one! Links: Verge - YouTube turning off Shorts Android Authority - Nothing statement about Warp Apple Newsroom Tim Cook steps down Verge - Huawei Pura X Max 9to5Mac - New iPhone colors rumor 9to5Mac - Pixel laptop and Pixel glow 9to5Google - Nothing deleted AirDrop competitor TechCrunch - Motorola sues creators This episode brought to you by: Framer: https://www.framer.com/waveform Hostinger: https://www.hostinger.com/waveform Shopify: https://www.shopify.com/waveform Follow us on socials: Marques: https://www.threads.net/@mkbhd Andrew: https://www.threads.net/@andrew_manganelli David: https://www.threads.net/@davidimel Adam: https://www.threads.net/@parmesanpapi17 Ellis: https://twitter.com/EllisRovin Waveform Threads: https://www.threads.net/@waveformpodcast Waveform Instagram: https://www.instagram.com/waveformpodcast/?hl=en Waveform TikTok: https://www.tiktok.com/@waveformpodcast Join the Discord: https://discord.gg/mkbhd Intro/Outro music by 20syl: https://bit.ly/2S53xlC Waveform is part of the Vox Media Podcast Network. Learn more about your ad choices. Visit podcastchoices.com/adchoices

    4 days ago

    •
    1hr 28min
  • 10 Years of Acquired (with Michael Lewis)

    15/12/2025

    8

    10 Years of Acquired (with Michael Lewis)

    Why has Acquired — seemingly against all odds — “worked”? It's a puzzling question: episodes are four hours long, they come out infrequently, and they usually don’t have guests or video. Hardly the standard-issue playbook for podcasting success! And yet well over a million smart, curious and exceedingly busy humans share their (your!) valuable time with us every month. Why? This is the exact paradox that has been rolling around in the head of Michael Lewis (yes, that Michael Lewis) since he found the show earlier this year. So we asked Michael to be our guest "interlocutor" and share what he thinks is going on here, while we share ten lessons we've stolen (graciously) from companies we've studied and brought into Acquired itself. He takes us through the entire Acquired journey: how we started, why we've never hired anyone or raised money, how we pick episodes, what our business model actually is, why we focus on quality and enjoyment over maximizing enterprise value, and ultimately why we’re all — you, him, us — kindred spirits together. Oh, and just for fun, we recorded this episode where another special journey began — the garage where Google was founded. Thank you for an incredible decade together… here's to the next one! Sponsors: Many thanks to our fantastic Fall ‘25 Season partners: J.P. Morgan Payments (you can watch our full show with them at AWS re:Invent here!)WorkOSSentryShopifyThank-yous: First, to Google for loaning us the garage. The sawhorse table desk, PC and CRT monitor on display in the background were all Google originals courtesy of the Google Founders Collection at the Computer History Museum. So cool!Second, to our friends at Shep Films for helping us seriously up our game on production quality this episode!Our Favorite Michael Lewis Books: Home GameMoneyballLiar’s PokerThe Blind SideThe Undoing Project (as referenced by Michael in the beginning, about Daniel Kahneman and Amos Tversky)Carve Outs: Books: The Name of the Wind by Patrick RothfussScience, the Endless Frontier by Vannevar BushLast Man Standing: The Ascent of Jamie Dimon and JPMorgan Chase by Duff McDonaldThe Art of Spending Money by Morgan HouselEmperors of Chocolate by Joel Glenn BrennerMorris Chang's AutobiographyPodcasts: Against the RulesRevisionist HistorySmartLessThe DailyThe Bill Simmons PodcastGraham Duncan on Invest Like the BestGlue GuysVideo: Jay KellyThe RehearsalDoug DeMuroTiresF1 The MovieAndorFalloutSeveranceSiloVideo Games: Sea of StarsKirby and the Forgotten LandProducts: ARTEZA Rollerball Pen 0.7mm FineRotring 800 Mechanical PencilFujifilm X100VIUniqlo Socks!On Running ShoesRimowa LuggageParenting: Guided Access on iPadToy StorySlumberPodBluey Experience in NYCMore Acquired: Get email updates and vote on future episodes!Join the SlackSubscribe to ACQ2Check out the latest swag in the ACQ Merch Store!‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    15/12/2025

    •
    2h 48m
  • Can we preserve knowledge … forever?

    4 DAYS AGO

    9

    Can we preserve knowledge … forever?

    Information feels more accessible than ever, but the ways we store data are surprisingly fragile. Can we save anything forever? This hour, TED speakers explore preserving our past, present and future. Guests include game designer CM Ralph, digital librarian Brewster Kayle, molecular biologist Dina Zielinksi and archeologist Chris Fisher. Original air date: January 27, 2023 TED Radio Hour+ listeners now get access to bonus episodes, with more ideas from TED speakers and deeper conversations with Manoush. By signing up for Plus, you directly support our work and public media, so all your episodes (like this one!) come to you without sponsor breaks. Learn more at plus.npr.org/ted. See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy

    4 days ago

    •
    50 min
  • #356 The Forecast for Time Series Forecasts with Rami Krispin, Senior Manager of Data Science at Apple

    20 APR

    10

    #356 The Forecast for Time Series Forecasts with Rami Krispin, Senior Manager of Data Science at Apple

    Time series data is everywhere — from inventory systems and energy grids to financial planning and product demand. As data volumes grow, the old ways of building individual forecasting models simply don't scale. How do you forecast hundreds of thousands of products without spending months on manual modeling? How do you know when to trust automation and when to step in? And what does it actually take to produce forecasts that business stakeholders will act on? Rami Krispin is Senior Director of Data Science and Engineering at Apple Finance, where he leads teams working at the intersection of statistical modeling, machine learning, and production forecasting. He is the author of Hands-On Time Series Analysis with R, an open-source contributor, Docker Captain, and instructor. He holds an MA in Applied Economics and an MS in Actuarial Mathematics from the University of Michigan, where he began his journey learning time series on DataCamp — before going on to build his own course there. In the episode, Richie and Rami explore time series foundation models and the case for scaling, traditional versus modern forecasting approaches, feature engineering in the business world, backtesting and model selection, risk management in automated forecasting, communicating forecast uncertainty to stakeholders, the evolving role of data scientists as architects, and much more. Links Mentioned in the Show: Forecasting: Principles and Practice (Rob Hyndman)NixtlaskforecastProphetConnect with RamiAI-Native Course: Intro to AI for WorkRelated Episode: Developing Better Predictive Models with Graph Transformers New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

    20 Apr

    •
    54 min

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Asia Pacific

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Europe

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Latin America and the Caribbean

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  • Antigua and Barbuda
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  • Dominica
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  • Saint Lucia
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  • Uruguay (English)
  • Venezuela (Español)

The United States and Canada

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  • الولايات المتحدة
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  • Estados Unidos (Português Brasil)
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