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  • The right thing before the thing right — product engineering with Wayne Allan

    1 Apr

    The right thing before the thing right — product engineering with Wayne Allan

    Kent talks with Wayne Allan (engineer, PM, and consultant) about product engineering in practice: why “building the thing right” only matters after you’re building the right thing, how to shorten feedback loops without six-month research theater, and why falling in love with the problem beats falling in love with your solution. They cover scrappy validation, talking to sales and support, the Kano model, *Crossing the Chasm*, and what changes when shipping gets faster than learning. Wayne blends delivery and product leadership—his stories range from a flagship-adjacent launch that nobody used to the everyday discipline of listening to customers without waiting two weeks for a meeting. This episode connects feedback-loop thinking (familiar from CI) to product discovery, yes-and conversations when someone is married to a feature idea, and the difference between hygiene features, performance features, and delighters when teams ship faster than users can absorb. You’ll also hear grounded takes on when “move fast” breaks trust, how AI may reshape search-and-listing UIs, and a concrete reading list: *The Mom Test* and *Crossing the Chasm*. Homework Talk to people, ask good questions, and listen—Wayne says that’s the biggest hack that’s worked in his career.Read *The Mom Test*: ask how people solved this problem in the past instead of whether they like your idea or would use it—you get far more useful insight (Wayne ties this to caring about the problem, not your solution). Resources *The Mom Test* (Rob Fitzpatrick)*Crossing the Chasm* (Geoffrey Moore)ThoughtworksWayne Allan — LinkedIn Guest: Wayne Allan Company: Thoughtworks𝕏: @xWayfinder Host: Kent C. Dodds Website: kentcdodds.com𝕏: @kentcdoddsGitHub: @kentcdoddsYouTube: kentcdodds-plusPodcast: epicproduct.engineer See on Epic Product Engineer

    1 Apr

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    51 min
  • Introducing Become an Epic Product Engineer

    Trailer ·  Video

    Introducing Become an Epic Product Engineer

    Kent opens Become an Epic Product Engineer: why product engineering is the durable skill as AI takes on more implementation, what to expect from guest conversations and homework, and where to start in the catalog. (00:00) - Introducing Become an Epic Product Engineer (00:38) - The archer metaphor (00:52) - Knowing what to build (01:05) - Learning out loud with guests (01:18) - Product engineers vs product managers (01:35) - Homework on every episode (01:55) - Episode highlights (02:15) - Better with Kent companion series (02:30) - Homework: subscribe and pick an episode Software keeps changing, and AI is accelerating something that was already true: implementation is getting cheaper while knowing what to build matters more. In this intro Kent frames the show - learning out loud with people who blend technical depth and product judgment - and why developers need product thinking without becoming product managers. He walks through the archer metaphor (better arrows, same need to pick the target), how homework works at the end of every episode, and highlights conversations to start with. Also: Better with Kent, Kent's solo companion series on the same durable skills. Homework Subscribe to Become an Epic Product Engineer in your favorite podcast app.Pick one episode to listen to first - if it wins you over, come back for the rest. Resources Become an Epic Product Engineer podcastThe Last Software Engineer (essay) Guest: Kent C. Dodds Company: Epic Product EngineerGitHub: @kentcdodds𝕏: @kentcdodds See on Epic Product Engineer

    Trailer · Video

    •
    3 min
  • Product sense, restraint, and OpenCode with Dax Raad

    1 Apr

    Product sense, restraint, and OpenCode with Dax Raad

    Kent talks with Dax Raad about building OpenCode in a crowded coding-agent market: why dev tools are still a consumer-style product, how fast shipping can make good products feel worse, and what “product skill” actually looks like when agents remove friction from implementation. They dig into onboarding, progressive disclosure, listening across many user requests for the real pattern, and why slowing down can be the right move—even when competitors ship faster. Dax has spent years building tools developers actually use; on OpenCode he’s thinking hard about product process while the space moves at breakneck speed. This episode is a practical look at product deterioration (not just code rot), bottom-up adoption for dev tools, and how coding agents change who decides what gets built—without replacing the need for taste, restraint, and clarity about what problem you’re solving. You’ll hear concrete examples from OpenCode’s terminal UI and onboarding, parallels to Kent’s Epic Workshop app, and a grounded take on inference pricing, hype, and when “ship messy and fix later” does and doesn’t hold up. Homework Convince yourself that getting good at product really matters—Dax says there’s a lot in the culture that tries to tell you it doesn’t, and you need that commitment because the belief will be challenged.If you don’t already believe it, figure out how to make yourself believe it matters (Kent’s recap of the guest’s action). Resources OpenCodeOpenCode docsDax Raad (site)Kent C. Dodds — blog Guest: Dax Raad Company: OpenCodeGitHub: @thdxr𝕏: @thdxr Host: Kent C. Dodds Website: kentcdodds.com𝕏: @kentcdoddsGitHub: @kentcdoddsYouTube: kentcdodds-plusPodcast: epicproduct.engineer See on Epic Product Engineer

    1 Apr

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    54 min
  • 为什么硅谷开始重新定义「AI 记忆」| S10E20

    3 days ago

    为什么硅谷开始重新定义「AI 记忆」| S10E20

    就在一个多月前,黄仁勋在 Computex 2026 上发布了英伟达 RTX Spark——第一个面向消费级 PC 的 AI 超算芯片,1 Petaflop 算力、128GB 统一内存,能在笔记本本地跑 120B 甚至 200B 参数的大模型。几乎同一时间,苹果 M5 系列也将端侧 AI 推到了前所未有的高度。硬件就位了,但一个老问题依然存在:如果 AI 助理不记得你是谁、不记得你三年前说过什么,再强的算力也只是个聪明的失忆者。 这期节目的嘉宾是 Clipto.AI 的创始人兼 CEO 康洪文(Henry Kang),他在做一款在端侧本地运行的多模态 AI 产品,能读懂你所有的音视频、图片和文档,并在此基础上构建个人记忆系统。我们一起聊了聊大模型做记忆(memory)的天花板在哪里,为什么端侧比云端更适合承载个人记忆;把云上成熟的 AI 架构搬到端侧,都会遇到什么挑战;以及当苹果、谷歌这样的 OS 巨头自己做记忆层(memory layer)时,一家创业公司凭什么不被碾压。 本期人物 康洪文 Henry, Clipto.AI 创始人兼 CEO Yaxian,「科技早知道」主播 时间轴 [02:12] 英伟达 RTX Spark 的突破是什么? 算力与内存双重突破,让本地跑百亿参数模型成为可能 OpenAI 就是大型机,端侧助理就像个人PC [04:58] 大模型的万亿参数是公域知识的最大似然估计(MLE) 大模型的生态位应是存储世界共识与通识 用万亿参数去做个人知识是“杀鸡用牛刀” 生态中缺一个专门记录和存储个人记忆的 player [09:35] Clipto 在做什么:端侧多模态记忆系统 本地 100% 运行,10 个模型协同将裸数据结构化 上层构建时空对齐的知识记忆系统,支持文本和语音查找 [18:16] 大模型做记忆的三条路径与共同天花板 Context Window、RAG、LoRA 微调都在尝试让模型记住用户 共同问题:都没跳出大模型 MLE 框架,只能提供概率性记忆 无法精确定位到“三年前某天下午和谁聊了什么”这种事实记忆 [22:14] 数据不等于记忆:坐在金矿上的穷人 每个人都是 data rich 但 memory poor,数据没有被结构化就不叫记忆 只有可查找、可复用、可执行的记忆才是真正的记忆 [36:58] 云上架构搬到端侧:垂直整合怎么做? 带着云上思维框架看端侧“完全不 work” 从芯片算子优化到算力调度到模型优化到 Agent 搭建,每一步都需要攻克 [41:48] Memory layer 苹果和 Google 能做吗?创业公司的机会在哪里? 苹果是硬件设备公司基因,更应搭建好 macOS 生态与第三方合作 集齐“芯片+算力+模型+独立产品运营”,大公司极难发生 谷歌、Meta 诞生第一天都是应用公司,终局是 memory layer 平台 [52:06] 两年前的预判:算力涨、模型小,两件事必然发生 苹果 M1 已具备 AI 推理能力,摩尔定律指向算力指数级增长 第一个模型最复杂,后续一定有办法优化——模型变小是必然 以终局看可能只做了 1/10,但完整记忆系统已搭建起来 幕后制作 监制:Yaxian 后期:迪卡 运营:George 设计:饭团 商业合作 声动活泼商业化小队,点击链接直达声动商务会客厅,也可发送邮件至 business@shengfm.cn 联系我们。 加入声动活泼 声动活泼正在招聘全职商务运营经理、早咖啡内容实习生和社群实习生,如果你也对播客行业的内容制作感兴趣,欢迎[点击招聘入口](https://eg76rdcl6g.feishu.cn/docx/XO6bd12aGoI4j0xmAMoc4vS7nBh?from=from_copylink\) 关于声动活泼 「用声音碰撞世界」,声动活泼致力于为人们提供源源不断的思考养料。 我们还有这些播客:声动早咖啡、声东击西、吃喝玩乐了不起、反潮流俱乐部、泡腾 VC、商业WHY酱、跳进兔子洞 、不止金钱 欢迎在即刻、微博等社交媒体上与我们互动,搜索 声动活泼 即可找到我们。 期待你给我们写邮件,邮箱地址是:ting@sheng.fm 欢迎扫码添加声小音,在节目之外和我们保持联系。 Special Guest: 康洪文 Henry.

    3 days ago

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    57 min
  • China (AI) Rising

    3 days ago

    China (AI) Rising

    Chinese AI models grabbed over 30% of US token use as Beijing weighed curbing access. Anthropic expanded Cowork to mobile and web, Meta launched its first AI image generator on Instagram and WhatsApp, and Xbox's $80B Game Pass bet failed. OpenRouter: Chinese AI models have drawn 30%+ of token use by US companies each week since February 8, peaking at 46%, up from 11% over the previous 12 months (CNBC) Chinese authorities have held meetings with top tech firms about potentially restricting overseas access to China's most advanced AI models, sources say (Reuters) Anthropic is bringing Claude Cowork to mobile and web, letting tasks run in the cloud and continue working even when no device is online (9to5Mac) Anthropic is bringing Claude Cowork to mobile and web, letting tasks run in the cloud and continue working even when no device is online (ZDNet) Meta launches Muse Image in Meta AI, Instagram, and WhatsApp, and previews Muse Video, the first media generation models from its Superintelligence Labs (Meta) Meta's new Muse Image tool lets users generate AI photos similar to what they'd normally post, including vacation selfies and photo-booth style shots (NYT) Public Instagram profiles are automatically opted into being used as material for others' AI image generations via Meta AI, unless users adjust their settings (Wired) Xbox spent nearly $80B over a decade on content deals betting gamers would flock to Game Pass, but most gamers prefer sticking to a handful of favorite games (Bloomberg) Subscribe to the ad-free feed. Learn more about your ad choices. Visit megaphone.fm/adchoices

    3 days ago

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    21 min
  • Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit with CEOs of Cerebras & Black Forest Labs

    2 days ago

    Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit with CEOs of Cerebras & Black Forest Labs

    (0:00) The AI Buildout: Datacenters Bigger Than Cities (Andrew Feldman) (1:50) Reasoning, Inference, and Breaking Moore's Law (16:28) Open Source, AI Sovereignty, and the Road to AGI (40:54) The Innovation Behind Generative Video (Robin Rombach) (47:31) Martin Scorsese, Robots, and the Future of Hollywood IP Thanks to our partners for making this possible! AppLovin Ads - AppLovin's AI advertising platform reaches over a billion daily active users across mobile games. Full-screen video ads with a 35-second median watch time. Advertisers are profitably spending hundreds of thousands of dollars a day and advertiser access is still in closed beta. The window is open at https://applovin.com/ALLIN Nasdaq - Industries, capital, and intelligence are converging into a single, interconnected system, and the infrastructure behind it needs to evolve just as quickly. Nasdaq was built for this moment: Powering more than 135 marketplaces and regulators globally and connecting capital to the companies shaping the future. As the innovation economy accelerates, connectivity becomes the critical asset. Nasdaq is the technology platform that makes it possible, and scalable. Learn more at https://Nasdaq.com Follow Andrew: https://x.com/andrewdfeldman Follow Robin: https://x.com/robrombach Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@allin Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg

    2 days ago

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    1hr 4min
  • TikTok

    08/04/2021

    TikTok

    Tiktok: qué es y nuestra opinión

    08/04/2021

    •
    9 min
  • WhatsApp Messenger: Features, Reviews & Updates

    01/02/2025

    WhatsApp Messenger: Features, Reviews & Updates

    WhatsApp Messenger is a free messaging and video calling app developed by WhatsApp LLC, which is owned by Meta. Here's a summary of its key features and user feedback: Key Features: Free Communication: WhatsApp offers free messaging and video calling services to over 2 billion users across more than 180 countries. The app works on mobile and desktop, even on slow connections, without subscription fees. Note that data charges may apply, and users should check with their provider. End-to-End Encryption: Personal messages and calls are end-to-end encrypted, meaning that only the participants in the chat can read or listen to them. This ensures privacy, even from WhatsApp itself. Simple Setup: Users can quickly start messaging by using their phone number, with no need for usernames or logins. The app allows users to view their contacts who are already on WhatsApp. High-Quality Calls: Users can make secure video and voice calls with up to 8 people, using the phone's internet service, even on slow connections. Group Chats: WhatsApp supports end-to-end encrypted group chats for sharing messages, photos, videos, and documents across mobile and desktop. Location Sharing: Users can share their location with individuals or groups, with the option to stop sharing at any time. Voice Messages: Users can quickly connect with voice messages. Status Updates: The status feature allows users to share text, photos, videos, and GIFs that disappear after 24 hours, with customisable visibility options. Wear OS Support: The app can be used on Wear OS watches to continue conversations, reply to messages, and take calls. It also provides tiles and complications for easy access to chats and voice messages. New Features: Recent updates include the ability to double-tap to quickly react to a message, send multiple images and videos as a collection, and share sticker packs as messages. User Feedback: Positive: Many users appreciate the app's simplicity, reliability, and privacy features. Negative: However, several users have reported issues. Additional Information: The app collects data types, including location and personal information. This data is encrypted in transit, and users can request data deletion. The app is supported on Android phones, watches, Chromebooks and tablets. WhatsApp's support email is android@support.whatsapp.com, and its physical address is 1601 Willow Road, Menlo Park, CA 94025. Links to WhatsApp's privacy policy, terms of service and information about safety are provided. Similar apps include Facebook Lite, Netflix, Messenger, Pinterest, Zoom Workplace and Facebook.

    01/02/2025

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    11 min
  • Matthew Renze: AI Changes - Episode 409

    5 days ago

    Matthew Renze: AI Changes - Episode 409

    https://clearmeasure.com/developers/forums/ Matthew Renze is an AI researcher, consultant, and author, and the founder of Renze Consulting, where he has trained over 500,000 software developers and IT professionals worldwide. He has delivered over 200 keynotes, presentations, and workshops on every continent — including Antarctica — for clients ranging from tech startups to Fortune 500 companies. A nine-time Microsoft MVP in AI, Matthew is also the president of the Renze AI Research Institute, where he studies how self-reflecting large language model agents improve problem-solving performance, trustworthiness, and value alignment. Most recently he was accepted into the Doctor of Engineering program at Johns Hopkins University, and he featured as an interview subject in the 2026 documentary "AI Everywhere." Website: https://matthewrenze.com/ LinkedIn: https://www.linkedin.com/in/matthewrenze/ Twitter/X: @matthewrenze GitHub: https://github.com/matthewrenze (via profile links) Our OpenClaw agent ("Bob") - Bob's website: https://bobrenze.com/ - Bob's blog: https://blog.bobrenze.com/ - Bob's book: https://a.co/d/014kieQI - Agent ranking site: https://agentfolio.io/ Stage 1 - Communicating in steps with an AI assistant - ChatGPT - https://chatgpt.com/ - Claude Chat - https://claude.ai/ Stage 2 - Collaborating on tasks with an AI agent - GitHub Copilot - https://github.com/features/copilot - Claude Code - https://claude.com/product/claude-code - OpenAI Codex - https://openai.com/codex/ Stage 3 - Supervising processes with an agentic workflow - LangChain / LangGraph - https://www.langchain.com/langgraph - Microsoft Agent Workflows - https://learn.microsoft.com/en-us/agent-framework/workflows/ Stage 4 - Managing a project with an autonomous agent - OpenClaw: https://openclaw.ai/ - Hermes: https://hermes-agent.nousresearch.com/ Stage 5 - Leading a mission with an autonomous agency - PaperClip AI: https://paperclip.ing/ Fireworks AI: https://fireworks.ai/ ---------------------------------- Previous Appearances on the Azure & DevOps Podcast: Episode 44 — Matthew Renze on Data Science for Developers https://azuredevopspodcast.clear-measure.com/matthew-renze-on-data-science-for-developers-episode-44 Episode 220 — Matthew Renze: Developing Your AI Strategy https://azuredevopspodcast.clear-measure.com/matthew-renze-developing-your-ai-strategy-episode-220 Episode 249 — Matthew Renze: AI Ethics https://azuredevopspodcast.clear-measure.com/ai-ethics-with-matthew-renze-episode-249 --------------------------------------- Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

    5 days ago

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    33 min
  • NSL

    4 days ago

    NSL

    One day Nick got a visit from the FBI demanding he give them data on one of his customers. They asked for it in the form of a National Security Letter or NSL. Something wasn’t right about this letter. It seemed to violate the constitution. So he set out to change the law. Learn more about Nicks work at calyxinstitute.org and phreeli.com. Check out Cindy’s book Privacy’s Defender: My Thirty-Year Fight Against Digital Surveillance (https://amzn.to/4gXuK2J). SponsorsSupport for this show comes from ThreatLocker®. ThreatLocker® is a Zero Trust Endpoint Protection Platform that strengthens your infrastructure from the ground up. With ThreatLocker® Allowlisting and Ringfencing™, you gain a more secure approach to blocking exploits of known and unknown vulnerabilities. ThreatLocker® provides Zero Trust control at the kernel level that enables you to allow everything you need and block everything else, including ransomware! Learn more at www.threatlocker.com. Support for this episode comes from NetSuite. NetSuite gives you visibility and control of your financials, planning, budgeting, and of course - inventory - so you can manage risk, get reliable forecasts, and improve margins. NetSuite helps you identify rising costs, automate your manual business processes, and see where to save money. KNOW your numbers. KNOW your business. And get to KNOW how NetSuite can be the source of truth for your entire company. Visit www.netsuite.com/darknet to learn more. This show is sponsored by Maze. Maze uses AI agents to triage and remediate cloud vulnerabilities by figuring out what’s actually exploitable, not just what’s theoretically risky. They remove the noise, prioritize vulns that matter, and manage remediation, so your team stops wasting time on meaningless vulns. Visit MazeHQ.com/darknet for more information. View all active sponsors. Sources https://www.democracynow.org/2010/8/11/gagged_for_6_years_nick_merrill https://globalfreedomofexpression.columbia.edu/cases/u-s-nicholas-merrill-v-loretta-e-lynch-14-cv-9763-vm/ https://clearinghouse.net/case/12966/ https://www.theguardian.com/law/2015/dec/06/fbi-national-security-letter-gag-order-nick-merrill https://www.aclu.org/documents/national-security-letters https://www.eff.org/cases/re-matter-2011-national-security-letter Cindy’s Book: Privacy’s Defender: My Thirty-Year Fight Against Digital Surveillance

    4 days ago

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    1hr 7min

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