Podcasts about CTO

In this episode, Dave and Jamison answer these questions: I'm the CTO of a small startup. We're 3 devs including me and one of them is a junior developer. My current policy is to discourage the use of AI tools for the junior dev to make sure they build actual skills and don't just prompt their way through tasks. However I'm more and more questioning my stance as AI skills will be in demand for jobs to come and I want to prepare this junior dev for a life after my startup. How would you do this? What's the AI coding assistant policy in your companies. Is it the same for all seniority levels? Hi everyone! Long-time listener here, and I really appreciate all the insights you share. Greetings from Brazil! I recently joined a large company (5,000 employees) that hired around 500 developers in a short time. It seems like they didn't have enough projects aligned with everyone's expertise, so many of us, myself included, were placed in roles that don't match our skill sets. I'm a web developer with experience in Java and TypeScript, but I was assigned to a data-focused project involving Python and ETL pipelines, which is far from my area of interest or strength. I've already mentioned to my manager that I don't have experience in this stack, but the response was that the priority is to place people in projects. He told me to “keep [him] in the loop if you don't feel comfortable”, but I'm not sure that should I do. The company culture is chill, and I don't want to come across as unwilling to work or ungrateful. But I also want to grow in the right direction for my career. How can I ask for a project change, ideally one that aligns with my web development background, without sounding negative or uncooperative? Maybe wait for like 3 months inside of this project and then ask for a change? Thanks so much for your thoughts!

Исследования показывают, что около 87% всех взрослых пользователей интернета, независимо от возраста, после открытия браузера первым делом идут именно в поисковик, чтобы начать онлайн-сессию. А среди миллениалов этот процент даже выше — 92%Знаете почему так происходит? Да потому что без поисковика интернет — это сотни миллиардов страниц с информацией, сориентироваться в которых вручную просто невозможно Именно появление поисковых систем фактически стало толчком к массовому развитию интернета! Сделало его удобным и полезным для всех: даже начинающий пользователь, не зная ни одного интернет-адреса, мог просто ввести слова, описывающие свой интерес, — и сразу попасть в нужную часть сетиВ этом выпуске CTO Яндекс Поиска Катя Серажим устроит нам экскурс по истории развития поиска и расскажет, как технологии менялись со временем, какие революционные шаги совершали инженеры и каким образом современные алгоритмы делают поиск быстрым, точным и максимально полезным для каждого пользователяООО "ГРЕЧКА МЕДИА", ИНН 9710094497, Erid: 2Vtzqx3QVHi⏱️ Тайм-коды:00:00 — Начало 00:32 — Вступление 01:30 — Как поиск выглядел в начале 11:01 — Про ИИ и машинное обучение 16:32 — Как изменилась работа поисковых систем 30:32 — Про трансформеров в поисковых системах 35:36 — Как работать в условиях постоянных изменений 45:35 — Про инфраструктуру Яндекса 48:24 — О взаимодействии Яндекс Поиска и Алисы 52:15 — Как поиск будет выглядеть в будущем 55:36 — Про откладывание на потом 57:22 — О качестве необходимом каждому 59:44 — Про книги 

Bret Taylor's legendary career includes being CTO of Meta, co-CEO of Salesforce, chairman of the board at OpenAI (yes, during that drama), co-creating both Google Maps and the Like button, and founding three companies. Today he's the founder and CEO of Sierra, an AI agent company transforming customer service. He's one of the few people I've met who's been wildly successful at every level—from engineer to C-suite executive to founder—and across almost every discipline, including PM, engineer, CTO, COO, CPO, CEO, and board member.In this conversation, you'll learn:1. The brutal product review that nearly ended his Google career—and how that failure led to creating Google Maps2. The question Sheryl Sandberg taught him to ask every morning (“What's the most impactful thing I can do today?”) that transformed how he approached every role3. The three AI market segments that matter4. Why AI agents will replace SaaS products5. His framework for knowing whose advice to actually listen to—and how that came in handy during the OpenAI board drama6. The counterintuitive go-to-market strategy most AI startups get wrong7. Sierra's outcome-based pricing model that's transforming how enterprise software is sold (and why every SaaS company should adopt it)8. What he's teaching his kids about AI that every parent should know—Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyVanta—Automate compliance. Simplify security: https://vanta.com/lenny—Where to find Bret Taylor:• X: https://x.com/btaylor• LinkedIn: https://www.linkedin.com/in/brettaylor/—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 Bret Taylor(04:10) Bret's early career and first major mistake(08:24) The birth of Google Maps(11:57) Lessons from FriendFeed and the importance of honest feedback(31:30) The future of coding and AI's role(45:26) Preparing the next generation for an AI-driven world(48:46) AI in education(52:05) Business strategies in the AI market(01:04:38) Outcome-based pricing in AI(01:09:15) Productivity gains and AI(01:17:35) Go-to-market strategies for AI products(01:21:49) Lightning round and final thoughts—Referenced:• Marissa Mayer on LinkedIn: https://www.linkedin.com/in/marissamayer/• “Lazy Sunday”—SNL: https://www.youtube.com/watch?v=sRhTeaa_B98• Quip: https://quip.com/• Sierra: https://sierra.ai/• FriendFeed: https://en.wikipedia.org/wiki/FriendFeed• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652/• Jim Norris on LinkedIn: https://www.linkedin.com/in/halfspin/• Paul Buchheit on X: https://x.com/paultoo• Sanjeev Singh on LinkedIn: https://www.linkedin.com/in/sanjeev-singh-20a1b72/• Barack Obama: https://www.obamalibrary.gov/obamas/president-barack-obama• Oprah Winfrey: https://en.wikipedia.org/wiki/Oprah_Winfrey• Ashton Kutcher: https://en.wikipedia.org/wiki/Ashton_Kutcher• PayPal Mafia: https://en.wikipedia.org/wiki/PayPal_Mafia• Sam Altman on X: https://x.com/sama• Warren Buffett on X: https://x.com/warrenbuffett• Unix: https://en.wikipedia.org/wiki/Unix• Fortran: https://en.wikipedia.org/wiki/Fortran• C: https://en.wikipedia.org/wiki/C_(programming_language)• Python: https://www.python.org/• Perl: https://www.perl.org/• Rust: https://www.rust-lang.org/• Eleven Labs: https://elevenlabs.io/• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Confluent: https://www.confluent.io/• Databricks: https://www.databricks.com/• Snowflake: https://www.snowflake.com• Harvey: https://www.harvey.ai/• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Larry Summers's website: https://larrysummers.com/• AutoCAD: https://www.autodesk.com/products/autocad/overview• Revit: https://www.autodesk.com/products/revit/• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://lenny.substack.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Cursor: https://cursor.com/• CodeX: https://openai.com/codex/• Claude Code: https://www.anthropic.com/claude-code• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• DirecTV: https://www.directv.com/• SiriusXM: https://www.siriusxm.com/• Wayfair: https://www.wayfair.com/• Akai: https://www.akaipro.com/• Chubbies Shorts: https://www.chubbiesshorts.com/• Weight Watchers: https://www.weightwatchers.com/• CLEAR: https://www.clearme.com/• Stripe: https://stripe.com/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Twilio: https://www.twilio.com/• ServiceNow: https://www.servicenow.com/• Adobe: https://www.adobe.com/• Jobs to be done: https://jobs-to-be-done.com/jobs-to-be-done-a-framework-for-customer-needs-c883cbf61c90• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• Inception: https://www.imdb.com/title/tt1375666/• Alan Kay's quote: https://www.brainyquote.com/quotes/alan_kay_100831• Jobs at Sierra: https://sierra.ai/careers—Recommended books:• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612• Endurance: Shackleton's Incredible Voyage: https://www.amazon.com/Endurance-Shackletons-Incredible-Alfred-Lansing/dp/0465062881—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

What does it look like for Christians to wisely engage with artificial intelligence? Is there a place in our discipleship to mobilize AI as we spread the good news of Jesus? Is AI a neutral tool that can be leveraged for good, or is it inherently evil or dangerous?  Dr. Jeff talks about all this and more with Shawn Ring, who is the Founder, CEO, CTO, and President of several technology-based businesses, domestic and international, with 25+ years of experience. Shawn Ring has a proven track record in building and scaling high-growth strategies, having led the creation and expansion of national brands and franchise systems, driving startup growth to over $130 million in annual revenue. His expertise extends to Mergers and Acquisitions, where he successfully managed the integration of more than nine technology companies. Shawn has also developed and executed multi-national strategies, including international banking and legal frameworks across Singapore, South Africa, Fiji, and the United States. As the founder of a service-based company, he built operations across 47 states, offering both B2B and B2C services. Shawn holds a BS in Information Technologies and an MBA in International Business and Cross-Cultural Leadership. To register for Summit Student Conferences, visit: Summit.org/students/ For additional free resources from Summit, go to: Summit.org/resources 

Navigating the Complex World of Leave Management: How AI is Transforming HR for Distributed TeamsIn today's rapidly evolving workplace, managing employee leave has become a daunting challenge—especially for companies with teams spread across multiple states. In a recent episode of The Thoughtful Entrepreneur, host Josh Elledge sat down with Anant Agarwal, co-founder and CTO of Aidora, to discuss the intricacies of leave management, the role of AI in simplifying compliance, and actionable strategies for HR leaders. Drawing from Anant's personal journey as a new parent and a tech founder, this conversation offers a wealth of insights for startups and established companies alike.The Role of AI in Streamlining Leave ManagementAnant Agarwal's personal experience as a new parent revealed just how challenging and confusing managing leave can be—especially when navigating complex federal, state, and city regulations. As a solution, Anant and his team at Aidora are using AI to streamline the leave management process for distributed teams. By utilizing AI-powered tools, companies can offer personalized leave plans to employees based on their location, situation, and company policies, ensuring compliance with ever-changing regulations while also empowering employees with the information they need to plan their time off effectively.AI's role doesn't stop at personalizing leave plans; it can also keep HR teams updated in real time with regulatory changes, reducing the risk of errors and compliance issues. This is especially valuable for startups and small to medium-sized businesses (SMBs) that may lack the dedicated HR and legal teams to manage such complexity. The AI solutions offered by Aidora scale with companies, helping them manage leave for teams of all sizes while ensuring that employees across different states and cities receive consistent, accurate information.Additionally, AI tools like Aidora's free leave plan generator allow employees to confidentially explore their leave options before approaching HR, saving time for both employees and HR departments. With precise, actionable outputs based on location-specific laws, this tool reduces administrative burden and enhances the employee experience, making the complex world of leave management more manageable for everyone involved.About Anant AgarwalAnant Agarwal is the Co-founder and CTO of Aidora, an AI-powered platform reshaping how modern companies manage employee leave. Anant has spent his career solving complex problems across industries—from leading AI-driven personalization efforts at Google to serving as a Vice President and strategist at Goldman Sachs, where he built financial infrastructure that powered structured product distribution at scale. Known for his ability to go deep fast, Anant blends technical depth with business strategy and execution, and has a track record of building high-performing teams, shaping product culture, and scaling with speed and clarity.About AidoraAidora provides AI-powered tools designed to simplify leave management for companies with distributed teams. Their flagship product, an AI-powered leave plan generator, helps employees quickly understand their leave entitlements, while ensuring HR teams stay compliant with local, state, and federal regulations. Aidora's mission is to reduce the administrative burden of leave management while improving the employee experience.Links Mentioned in This Episode:Aidora Website

John is joined by Renny Hwang, Deputy General Counsel and Head of Litigation at OpenAI and former Head of Litigation at Google. They discuss the legal issues surrounding AI technology. Renny explains that he believes that existing law is well equipped to deal with copyright, fair use and product liability issues raised by AI, but the challenge the industry faces is that most people do not understand how AI works. He also explains that he believes other legal issues, such as corporate transparency and governance, might require new regulations. John and Renny discuss the likely impact of patent and trade secret law on the AI industry in light of the industry's tendency to publish significant research and findings. They also discuss the effect of the absence of comprehensive federal AI regulation, including the difficulty companies have in to implementing different compliance regimes for different jurisdictions and the possibility that the European AI Act will become the de facto default standard for AI regulation globally. Finally, Renny explains that OpenAI is a mission-driven company focused on building safe and beneficial AI and that commitment is reflected in OpenAI's Board-level Safety Committee.Podcast Link: Law-disrupted.fmHost: John B. Quinn Producer: Alexis HydeMusic and Editing by: Alexander Rossi

It's YOUR time to #EdUpStay ahead of the conversation in higher ed. Get early, ad-free access & exclusive leadership content by supporting Elvin & Joe for only $5.99 a month or $44.99 a year. YOU can also donate or gift a subscription at edupexperience.comIn this episode, President Series #388, part of our Academic Integrity Series, sponsored by Pangram Labs,YOUR guest is Mallory Dwinal Palisch, President, Craft EducationYOUR cohost is Bradley Emi , Cofounder & CTO, Pangram LabsYOUR host is Elvin FreytesHow should higher education adapt assessment methods for the AI era? What role does academic integrity play when students use AI tools? How can apprenticeship degree pathways transform traditional higher education? Topics include:Forcing students to use AI rather than prohibiting it in coursework Redesigning assessments to measure AI-augmented capabilities & critical thinking Creating experiential learning pathways that blend work experience with college degrees Listen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠● Join YOUR EdUp community at The EdUp ExperienceWe make education YOUR business!P.S. Support the podcast trusted by higher ed leaders. Get early, ad-free access & exclusive leadership content by supporting Elvin & Joe for only $5.99 a month or $44.99 a year. YOU can also donate or gift a subscription at edupexperience.com

On today’s show, we talk to Armon Dadgar, co-founder and CTO of HashiCorp regarding HashiCorp’s future within IBM. We start with a quick recap of IBM’s acquisition of HashiCorp and then move on to the challenges of bringing a small, young tech company into a huge corporation that makes lots of its revenue on legacy... Read more »

自动驾驶到底是不是一门好生意？特斯拉与 Waymo 代表的路线，到底谁更有前途？为什么自动驾驶行业总是充满「路线之争」？这背后到底是技术问题，还是认知问题？两周前，「科技早知道」更新了一期[通往 L5 的道路只有一条吗？从特斯拉试运 Robotaxi 说起 (https://guiguzaozhidao.fireside.fm/20240384)，嘉宾对自动驾驶行业的观点引发了广泛争议，不少听众表示想要听听不同的观点和更加深入的探讨。 在本期节目中，我们邀请到两位深耕自动驾驶行业的从业者，薛健聪与孙又晗，与我们聊聊自动驾驶行业在技术分歧、产品形态，还有商业化路径等等方面的「非共识」。 本期人物 薛健聪， 无人驾驶从业者。朋友们，当他说「接管」的时候，他是认真的。 孙又晗， Trans-N.ai 联合创始人兼 CTO，前自动驾驶行业从业者，15 年 AI 相关从业经验 Yaxian，「科技早知道」主播 主要话题 [03:06] 特斯拉和 Waymo 谁更高级？不是同类产品，没有比较的必要 [07:47] 自动驾驶的目标不一定是 L5，产品定义才是关键 [10:09] 数据多≠技术领先，「优质数据」才是稀缺资源 [17:00] 模块化 vs 端到端：模型背后的路径依赖与工程挑战 [22:00] 什么才算自动驾驶的「产品内核」？L2 比 L4 更难定义 [27:00] 如何看待「L2 做的越好，离 L4 越远」 [31:24] 为何自动驾驶路线之争如此激烈？迭代太慢技术难收敛 [35:35] 全栈自研 vs 智驾供应商：聊聊自动驾驶的商业化路径 [46:50] 自动驾驶要成为车的内核，不只需要提供「情绪价值」更需要真正的「价值」 延伸阅读 ODD（Operational Design Domain） 操作设计域。指自动驾驶系统被设计和验证可以安全运行的环境和条件范围，例如：天气、时间、路况、地理区域等。 NOA（Navigate on Autopilot） 一种高阶辅助驾驶功能，结合导航实现高速或城市路况下的自动变道、超车、进出匝道等操作。常见于 L2+ 智驾产品。 UNP（Urban Navigation Pilot） 城市导航辅助驾驶系统，允许车辆在城市道路中进行相对复杂的路径规划和决策。 有时也称“城区无图导航”。 Rule-based 基于规则的自动驾驶系统，指依赖手工设计规则来判断和决策的自动驾驶系统（如：红灯停车、前车刹车减速等），早期系统多使用此方式。 MCRC（Minimum Risk Condition Control） 最小风险控制模式：当系统检测到异常或驾驶员无响应时，将车辆安全停靠或减速到最小风险状态。 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 (https://sourl.cn/9h28kj)，也可发送邮件至 business@shengfm.cn 联系我们。 青少年播客「Knock Knock 世界」 每期 10 分钟，从一个青少年感兴趣的现象谈起，涉及商业科技、社会人文等话题，解读表象背后的深层逻辑，启发青少年提出自己的好奇。每周一、三、五早晨 6 点在各大音频平台准时更新。

On today’s show, we talk to Armon Dadgar, co-founder and CTO of HashiCorp regarding HashiCorp’s future within IBM. We start with a quick recap of IBM’s acquisition of HashiCorp and then move on to the challenges of bringing a small, young tech company into a huge corporation that makes lots of its revenue on legacy... Read more »

Connect with Dan: https://www.linkedin.com/in/dan-schwarz-3805b854/Read More: https;//thinkfuture.substack.com---In this episode of thinkfuture, host Chris Kalaboukis speaks with Dan Schwarz, CEO and co-founder of FutureSearch, an AI startup on a mission to push the boundaries of forecasting. With a background as a software engineer at Google and CTO of Metaculous, Dan brings deep expertise at the intersection of technology, prediction, and decision-making.Can AI really predict the future? Dan says—yes, but with caveats. He shares FutureSearch's research into the forecasting abilities of AI models like GPT-3.5 and GPT-4, revealing that while they outperform random chance, they still fall short of skilled human forecasters. However, the gap is closing fast, and Dan expects AI systems to reach—and potentially exceed—human forecasting abilities within the next 10–15 years.In this conversation, we explore:- The state of AI forecasting: where models like GPT-4 shine—and where they fail- How AI compares to human forecasters today- Why forecasting natural events (like earthquakes) is fundamentally different from predicting human behavior- How uncertainty shapes our ability to forecast the future- Techniques for operationalizing forecasts so organizations actually use them- Conditional forecasting and competitor-focused predictions as game-changers for business strategy- The ethical and practical implications of “superhuman” forecasting in politics, business, and society- What the world could look like in 2035 when AI becomes an “Oracle-like” forecasterDan envisions a future where AI-powered forecasting transforms decision-making in politics, business, and beyond—giving us tools to anticipate disruption, prepare for uncertainty, and make smarter, data-driven choices.If you're interested in the future of AI, predictive analytics, or how technology could reshape our understanding of what's coming next, this episode is packed with insights.

Hoy conversé con Fernando Scasserra, CTO de Kavak, la plataforma de compra-venta de autos usados más grande de Latinoamérica.Fernando trabajó durante 15 años en Mercado Libre. Ingresó cuando el equipo técnico contaba con apenas 40 personas y permaneció hasta que alcanzó los 8,000 integrantes. Hoy, en Kavak, lidera a 350 ingenieros distribuidos por todo Latinoamérica.A la fecha, Kavak ha levantado $3,500M (entre capital y deuda) de fondos como SoftBank, Kaszek, HSBC y Goldman Sachs.Hoy Fernando y yo hablamos sobre:IA como “traje de Iron Man”: potenciar a tu equipo sin quitarle el rol humanoSu estrategia para organizar equipos como "mini-startups" autónomasPor qué los videojuegos lo prepararon para liderar en tecnologíaPor qué rechazó ofertas de Google y Amazon para quedarse en LatinoaméricaNotas del episodio: https://startupeable.com/kavakPara más contenido síguenos en:YouTube  | Sitio Web En Startupeable, hacemos más con Notion, la plataforma todo en uno para organizar tu startup. Docs, tareas, bases de datos—todo en un solo lugar y ahora con IA para trabajar más rápido y mejor.Nos aliamos con Notion para regalarte 3 meses gratis del Plan Business + IA ilimitada, hasta 100 empleados

Everyone's talking about AI these days, especially in cybersecurity. Sure, artificial intelligence can boost your defenses, but cybercriminals have noticed too. Now they're crafting phishing emails so believable it's scary and finding clever paths around spam filters while zeroing in on vulnerabilities you didn't even realize were there.    Today, Aviad Hasnis joins the show. He's the CTO of Cynet Security and spent years running cybersecurity missions for the Israeli Defense Forces. Aviad's here to help us figure out what the changing threat landscape really means, whether you're leading a corporate giant or just trying to keep your small business safe. From passwords getting scooped up to VPN setups from a decade ago that no one updated, Aviad's seen just about everything go wrong. He also explains why copy-pasting AI-generated code might open you up to attacks you never saw coming. He's big on education, common sense, and making sure you're using multiple security layers. These days even one slip-up can give attackers exactly what they're looking for. Aviad also walks us through supply chain vulnerabilities and why they should keep you up at night. Whether you're the CISO of a Fortune 500 company or you're running a small team with Bob, the go-to tech person juggling 18 other tasks, this episode is packed with practical insights to help you avoid the next big cybersecurity headache. While AI might be reshaping the cybersecurity landscape, staying secure still comes down to thoughtful planning, human judgment, and making sure someone you trust has your back. Show Notes: [01:08] Aviad has been Cynet's Chief Technology Officer for the past five years. Prior to that, he worked in cyber security for the Israeli Army. [02:18] He was always fascinated with computers and technology. When Iran had a technology problem, he realized that cybersecurity was what he wanted to do for the rest of his life. [03:19] Aviad shares a story about his friend's mother being exposed to a scam. She received a phone call from someone pretending to be a police officer. She even installed different executables on her laptop. She didn't realize she was being victimized until she transferred over five grand. [06:07] Social engineering is one of the most dominant ways to gain access. [08:39] The security implications of using AI. [09:30] It's important to have guardrails with how you use AI. [10:28] If you're just copying and pasting code you may copy something that could be vulnerable to exploits. [11:16] People need to be aware of the types of risk and educate themselves. [12:49] Conversations at the C-suite level for implementing AI. [13:43] The challenge is to harness AI the right way without replacing people. [15:18] It's important to use critical thinking when creating with AI. [16:04]  AI is helping security by allowing people to consult and get information. You can also introduce vulnerabilities into your application if you just copy and paste from chat GPT without knowing the context. [17:05] The bad guys can also use AI. [17:56] AI has improved the quality of phishing scams. [21:36] Where organizations are missing out when it comes to sniffing out threats. This includes VPNs and SaaS or cloud.  [22:52] Employees could be using their home computers to connect to the company VPN and then their kids might download some malware or trojan. Companies need to use two-factor authentication when it comes to VPNs. [24:11] Email phishing can be another way to steal credentials. [27:54] The most effective approach is security layers. [30:40]  Another security measure is creating profiles where we know where you're logging in from. [33:35] Is this doom and gloom for small businesses? [34:48] The best solution for small businesses would be to find a company with an all-in-one solution. [37:11] The importance of being proactive, so you can act quickly if you see something suspicious. [38:24] How the move to the cloud affects security. [39:08] Shifting to the cloud is safer. [44:20] New threats on the horizon include threat actors utilizing AI. They love to get control of remote applications. Thanks for joining us on Easy Prey. Be sure to subscribe to our podcast on iTunes and leave a nice review.  Links and Resources: Podcast Web Page Facebook Page whatismyipaddress.com Easy Prey on Instagram Easy Prey on Twitter Easy Prey on LinkedIn Easy Prey on YouTube Easy Prey on Pinterest Cynet Security Aviad Hasnis - LinkedIn Aviad Hasnis - Cynet Security

On today’s show, we talk to Armon Dadgar, co-founder and CTO of HashiCorp regarding HashiCorp’s future within IBM. We start with a quick recap of IBM’s acquisition of HashiCorp and then move on to the challenges of bringing a small, young tech company into a huge corporation that makes lots of its revenue on legacy... Read more »

Kevin Peterson, Co-Founder & CTO, Bedrock Robotics joined Grayson Brulte on The Road to Autonomy podcast to discuss the growing labor shortage in the construction industry and how Bedrock is developing autonomous construction equipment to help builders keep building.America's construction industry is facing a crisis with a shortage of 500,000 workers delaying projects by an average of two months and costing $2.7 billion annually. Bedrock is looking to solve that problem as they are building autonomous construction equipment using machine learning techniques such as imitation learning and reinforcement learning to teach machines how to dig, move, and adapt in real-world job sites.Throughout the conversation, Grayson and Kevin explore the economic, technical, and operational challenges facing the construction sector, from power constraints slowing down data center builds to safety risks on chaotic job sites and how autonomy can solve these growing issues. Episode Chapters0:00 From Cars and Trucks to Construction 3:16 Automating Construction Equipment 9:51 OEM Partnerships 10:49 Construction Partners 12:55 Data16:56 Deploying Autonomous Construction Equipment 24:00 Challenges 26:15 Job Creation 28:09 Human to Machine Ratio30:28 Bedrock OS33:40 Maps34:29 Construction TAMRecorded on Thursday, July 24, 2025--------About The Road to AutonomyThe Road to Autonomy provides market intelligence and strategic advisory services to institutional investors and companies, delivering insights needed to stay ahead of emerging trends in the autonomy economy™. To learn more, say hello (at) roadtoautonomy.com.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

How do we ship code faster without sacrificing quality or accountability? Greg Foster, co-founder and CTO at Graphite, joins the show to unpack how AI is reshaping code reviews, developer workflows, and the very definition of software engineering. From AI-assisted reviews to the challenge of maintaining context in a world of auto-generated code, Greg shares hard-won insights from the front lines of dev tools innovation. If you care about shipping fast, staying secure, and evolving your engineering org for what's next — this one's for you.Key Takeaways• Code review is becoming more about collaboration and less about bug catching• AI-generated code introduces a new challenge: how engineers maintain context without writing the code themselves• Developer experience is shifting toward orchestration, not just authorship — prompting, reviewing, shipping, and owning• Stack-based workflows are essential for speed, safety, and parallel progress in an AI-assisted world• Even with AI in the loop, human accountability — especially for security and architecture — remains criticalTimestamped Highlights2:10 – Why Graphite calls itself “code review for the age of AI”4:50 – What code review really means today (hint: it's not just about bugs)8:40 – The hidden cost of losing context when you're not writing the code12:05 – How the developer experience is evolving with AI-generated code16:10 – Is tech debt still a problem if code becomes disposable?21:00 – Inner vs. outer loops of development — and why the bottleneck is shifting26:10 – Why we hold AI to a higher standard than human engineersQuote of the Episode“We used to get context for free — just by writing the code. But in a world of AI code gen, we're going to need new ways to absorb and maintain that context.” – Greg FosterResources MentionedGraphite: https://graphite.devGreg on LinkedIn: https://www.linkedin.com/in/gregmfosterEmail Greg: greg@graphite.devPro TipsStack your PRs to keep shipping fast and safely. Whether it's AI or human writing the code, small, parallelized changes are easier to review, test, and deploy — especially when you're operating at high velocity.Call to ActionEnjoyed this episode? Share it with a fellow engineer, follow the show, and leave a review on Apple Podcasts or Spotify. For more insights like this, connect with us on LinkedIn or subscribe to our newsletter.

“With AI, there is so much to innovate, it gives people an equality.” “Everybody has something to give.” “There are three things we all need: a coach, a mentor, and a sponsor. A coach talks to you, a mentor talks with you, and a sponsor talks about you.”   Episode summary | In this episode of Return on Generosity, host Shannon Cassidy speaks with Yvette Kanouff, an Emmy award-winning technology pioneer, about the importance of generosity in the workplace. They discuss Yvette's journey from Germany to becoming a leader in technology innovation, the role of AI in shaping the future, and how to create opportunities for others through a generous mindset. The conversation emphasizes the value of networking as genuine connection, the significance of mentorship, and the essence of being true to oneself while navigating challenges in leadership.   R.O.G. Takeaway Tips | Generosity fosters growth and collaboration. Innovation is driven by curiosity and problem-solving. Networking should be about building genuine relationships. Mentorship is crucial for personal and professional development. Being true to oneself is essential for effective leadership. AI presents endless opportunities for innovation. Everyone has something valuable to contribute. Generous leadership creates a positive workplace culture. Self-advocacy should not overshadow team recognition. Difficult conversations are part of effective management.   Chapters |  00:00 The Power of Generosity 02:31 Yvette Kanouff: A Journey of Innovation 05:20 Embracing Change and Innovation 09:48 AI: Opportunities and Ethical Considerations 13:27 The Art of Networking and Relationship Building 16:11 Return on Generosity: A Personal Philosophy 20:37 Overcoming Barriers to Generosity 22:57 Generous Leadership in Action 28:53 The Importance of Mentorship 32:52 Navigating Disagreements with Grace 37:10 Staying True to Yourself   Guest Bio | Yvette Kanouff is an Emmy award winning technology pioneer and Partner at JC2 Ventures, a venture firm founded by Cisco Chairman Emeritus and Silicon Valley legend, John Chambers. Yvette headed the $7B service provider business at Cisco Systems, the worldwide leader in IT, networking, and cybersecurity solutions. She has held CTO and President roles at various companies and has focused on leading technology innovation and invention. Yvette has pioneered technologies instrumental in creating video streaming, app stores, MPEG standards, encoding standards, CDNs, and the DVD. Yvette has received numerous industry awards including a 2020 Lifetime Achievement Emmy for her contributions to television engineering and technology, the National Cable and Television Association's Vanguard Award for Leadership in Science and Technology, being named an Industry Pioneer, an Emmy for her work in Video on Demand with SeaChange, being named an Industry Wonder Woman, Top Techie, and Woman in Technology; she has been named one of the 11 most influential women in the Television industry, and has consistently been ranked as one of the top 100 industry executives. Yvette began her career in digital signal processing and has a bachelor's and master's degree in mathematics from UCF. Yvette is a 2011 recipient of the UCF Distinguished Alumni Award and supports UCF students through the Yvette Kanouff Industrial Mathematics Scholarship, in addition to supporting the University and College of Sciences, where she serves on the Dean's Advisory Board. Yvette holds several patents and is on various corporate and industry boards. She is a long-standing leader in industry organizations, foundations, and standards bodies, and she has chaired several industry award boards including the Cable Pioneers and IEEE Ibuka medal award committee.   Bridge Between Resources: 5 Degree Change Course Free N.D.I. Network Diversity Index  Free Generosity Quiz    Credits: Yvette Kanouff, Host Shannon Cassidy, Bridge Between, Inc.   Coming Next: Please join us next week, Episode 244, Special Guest, Jamie Reid and Gabe Erle.

În acest episod „Mai Departe”, Artur Gurău discută cu Vitalie Eșanu, CTO și Antreprenor Privesc.eu, Soofragio, Citesc.eu, și Alex Mînza, CTO și Antreprenor. Discuția despre viitorul inteligenței artificiale, legislația media, manipularea informațională pe rețele precum TikTok, rolul „notificatorilor de încredere”, și implicarea actorilor non-tradiționali, de la biserică până la startup-uri, în societate și politică.

În acest episod „Mai Departe”, Artur Gurău discută cu Alex Mînza și Vitalie Eșanu, ambii CTO și antreprenori activi în zona de tehnologie civică și inovație. Discuția explorează impactul AI asupra educației, profesiilor și modului în care învățăm, dar și teme de actualitate precum realitatea economică, impozitarea Temu, influența TikTok-ului și atacurile cu drone. Vitalie vorbește și despre soluția pe care a dezvoltat-o pentru a monitoriza conținutul de pe TikTok în Republica Moldova. Cum îl ajuta la asta internetul Infinity de la Orange Moldova de 10GB

You should be thinking ahead, but don't confuse that with useless busywork that doesn't actually matter. We do it because we're anxious, because we want to do *something*, or because we wrongly mistake that for leadership. But if there's no diff, it doesn't matter—or even worse.Check out Unplugged with Aviv.Grab a copy of my books, Capitalizing Your Technology and  The Tech Executive Operating System.Subscribe to the best newsletter for tech executives.For any questions or comments, reach out to me directly: aviv@avivbenyosef.com

Martin Casado is a General Partner @ a16z where he leads the firms $1.25BN infrastructure fund. At a16z, Martin has led investments in companies like Cursor, dbt Labs, and Fivetran to name a few. Before joining a16z, he co-founded Nicira, acquired by VMware for $1.26B. At VMware, he served as CTO of Networking. Widely regarded as a visionary in enterprise infrastructure, Martin has helped shape the modern cloud computing stack. Agenda: 00:00 – Analysis of Current AI Investment Landscape 04:45 – Will Anthropic Kill the AI App Layer? 09:20 – “The Oligopoly Is Coming—Just Like Cloud” 12:50 – Are AI Models Actually Terrible Venture Investments? 15:40 – Why it is BS to Put Down AI Apps for Having Temporary Revenue 21:30 – “Open Source Is a National Security Weapon—And We're Losing” 26:40 – “Have the Foundation Models of the Future All Been Founded Already” 34:30 – Why it is BS to Denigrate AI Apps for Having Low Margins 38:40 – Does AI Make 1x Engineers 10x or 10x Becomes 100x 44:10 – “We're All Dead Wrong About AI and Job Loss” 50:30 – “The Only Sin in Venture: Backing the Wrong Winner” 55:10 – What People Think They Know About Wealth But Do Not  

Send us a textThe Configure-to-Order (CTO) space within manufacturing demands systems built for flexibility—balancing standardized components with the ability to configure products quickly and accurately. Unlike Engineer-to-Order (ETO), where each project starts from scratch, CTO relies on predefined options that can be assembled in various ways to meet customer needs. This configuration may occur within ERP or PLM systems, or extend outward through CPQ tools and e-commerce interfaces, depending on how a company structures its sales and fulfillment processes. Given the wide variability in product complexity and go-to-market strategies, there's no universal approach—successful CTO execution hinges on aligning configurability with business objectives and user experience.In this episode, our host Sam Gupta discusses the top 10 configure-to-order manufacturing ERP systems in 2025. He also discusses several variables that influence the rankings of these configure-to-order manufacturing ERP systems. Finally, he shares the pros and cons of each configure-to-order manufacturing ERP system.Background Soundtrack: Away From You – Mauro SommFor more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform. 

It's the 11th running of the Race For the Future in Fort Worth, TX on September 14, 2025. This is YOUR chance to make a difference in a industry we all love so much. Important links: All the money goes to The Foundation For Dental Laboratory Technology: https://dentallabfoundation.org/ All about the Race: https://dentallabfoundation.org/news-events/race-for-the-future/ Race website: https://fortworth.californiatriathlon.org/ TO DONATE: https://fdlt.memberclicks.net/donor-form#/ Select: Race for the Future Enter the name of the racer you want to support: BARB WARNER or THE CROWN JEWELS Enter the amount (One Million Dollars) It's hard to believe that IDS 2025 happened over 4 months ago and we are still bringing out conversations we got while at the exocad booth. This one is jam-packed with three conversations with 4 different people in the dental industry that really are making huge impacts. First up is two dentist that are using their time and talent to teach other clinicians from around the world how to implement the digital workflow in their practice. Dr. Milad Shadrooh (The Singing Dentist!) and Dr. Robbie Hughes are from opposite ends of England but both share the passion of education. They talk about their careers, what kind of courses they offer at Avant Garde Dentistry (https://www.avantgardedentistry.co.uk/) and how through a mentorship program, dentist can go digital both efficiency and confidently. Then we meet the CTO of Align Technologies (https://www.aligntech.com/), Zelko Relic. Zelko talks about getting into dental, the history of Align Technologies and when they merged in Invisalign (https://www.invisalign.com/), Itero (https://itero.com/), and exocad (https://exocad.com/). He also talks about the resources they put towards R&D, scaling a company to make over 1 million parts A DAY, what new technologies are currently being worked on, and how they are making the ultimate in providing the comprehensive solution to all. We wrap up the episode with Ben Weber from ModuleWorks (https://www.moduleworks.com/). What is ModuleWorks, well it's kind of hard to explain. You see, it's in about 90% of the manufacturing in the world. It's not the CAM, it's not the user interface, but it's in the background making it all come together. Ben talks about what ModuleWorks is, how it works, and why we can't live without it. Take it from Jennifer Ferguson from Ivoclar. If you have a PM7 (https://www.ivoclar.com/en_us/products/digital-equipment/programill-pm7) or are thinking about getting a PM7 (Take it from Barb, you should), Ivoclar had launched the "Ivoclar Block Module" that can speed up milling emax (https://www.ivoclar.com/en_us/products/digital-processes/ips-e.max-cad) by 45%!! The best part is that you can try it for FREE for 90 days. Al l you have to do is send them a message on Instagram at Ivoclar.na (https://www.instagram.com/ivoclar.na/) or send a email to jennifer.ferguson@ivoclar.com. Now go mill emax faster! Special Guests: Ben Weber, Dr. Milad Shadrooh, Dr. Robbie Hughes, and Zelko Relic.

In this episode, Harish Chandramowli, Co-founder and CTO of Flaire, explores how AI is transforming the fashion and clothing industry—especially in streamlining operations and improving data management. He highlights the challenges brands face when relying on spreadsheets, and stresses the importance of data integrity for better decision-making. He also emphasizes the need for flexible pricing and the importance of adapting technology to fit each brand's unique workflows in the fashion and clothing industry. Topics discussed in this episode:  Why spreadsheets are secretly killing fashion brands' profitability. How AI is revolutionizing fashion operations. What data integrity mistakes cost fashion brands millions. Why most fashion ERP implementations fail. How to sanitize messy fashion data. What technical flexibility really means. Why pricing strategy determines software adoption. How AI visualizes complex fashion processes. What workflow understanding reveals. Why collaboration beats technology. Links & Resources Website: https://www.Flairesoftware.com/LinkedIn: https://www.linkedin.com/in/scharish/LinkedIn: https://www.linkedin.com/company/Flaire-softwareGet access to more free resources by visiting the show notes athttps://tinyurl.com/3c2b4vj4MORE RESOURCES Subscribe to our FREE Newsletter: https://newsletter.ecommercecoffeebreak.com/ Free Store Optimization Beginners Guide: Instant PDF Download!

How do you keep innovating and disrupting when you're already the incumbent? And how do you prevent a $200B+ company from becoming slow and complacent? In this episode, CJ is joined by Sandeep Aujla, CFO of Intuit, who shares how one of the world's largest software companies continues to operate with the agility of a startup. With QuickBooks, TurboTax, Credit Karma, and MailChimp all falling in the Intuit family tree, serving both consumers and businesses, Sandeep breaks down the company's platform strategy, explains how he tells a unified story across these product lines, and describes how he prioritizes capital allocation. He also talks about Intuit's efforts to leverage AI to improve internal efficiencies, insights into the ideal CFO-CTO relationship, tactics for saying no, the benefits of letting stuff break, and how finance helped uncover a major growth opportunity for Intuit in the mid-market. The conversation touches on the company's 25 golden metrics, why leap years and the Super Bowl affect revenue, and the lesson Sandeep learned from a $2 coffee.—LINKS:Sandeep Aujla: https://www.linkedin.com/in/aujla/Intuit: https://www.intuit.com/CJ on X (@cjgustafson222): https://x.com/cjgustafson222Mostly metrics: —TIMESTAMPS:(00:00) Preview and Intro(02:30) Sponsor – Pulley | Brex | Aleph(07:11) Sandeep's Career Journey at Intuit(09:41) The Stigma Around CFOs and Seriousness(11:01) Being the Disruptor When You're Already the Incumbent(14:04) Intuit: Software, Payments, or Services Company?(15:21) Sponsor – RightRev | Navan | NetSuite |(19:00) The Intuit Family Tree(20:14) Cross-Platform Network Effects(21:54) Telling a Unified Story Across Multiple Product Lines(25:24) How Finance Discovered a Mid-Market Growth Opportunity(28:56) Reducing Churn by Keeping Customers on Platform(31:04) How Small Businesses Are Evolving To Leverage Tech and AI(34:11) How Sandeep Prioritises Capital Allocation(37:17) Tactics for Saying No Gracefully as a CFO(39:39) The Benefits of Letting Stuff Break(43:10) Reinvesting Across the Business: Consumer Versus Business(45:36) The CFO-CTO Relationship in the Age of AI(49:45) Tracking Intuit's Target for Internal AI Efficiency(52:06) Surprising Usage Patterns: Leap Years, Game of Thrones, etc(53:15) The Different Use Cases for AI Internally(55:48) The 25 Golden Metrics That Matter(58:45) Leap Years and Other Surprising Things That Impact the Business(1:00:04) Long-Ass Lightning Round: A Deadline Mistake(1:02:04) Advice to Younger Self(1:03:48) Finance Software Stack(1:04:36) A Bonus Question: Printed Notes(1:05:17) Craziest Expense Story—SPONSORS:Pulley is the cap table management platform built for CFOs and finance leaders who need reliable, audit-ready data and intuitive workflows, without the hidden fees or unreliable support. Switch in as little as 5 days and get 25% off your first year: https://pulley.com/mostlymetrics.Brex offers the world's smartest corporate card on a full-stack global platform that is everything CFOs need to manage their finances on an elite level. Plus, they offer modern banking and treasury as well as intuitive expenses and accounting automation, bill pay, and travel. Find out more at https://www.brex.com/metricsAleph automates 90% of manual, error-prone busywork, so you can focus on the strategic work you were hired to do. Minimize busywork and maximize impact with the power of a web app, the flexibility of spreadsheets, and the magic of AI. Get a personalised demo at https://www.getaleph.com/runRightRev automates the revenue recognition process from end to end, gives you real-time insights, and ensures ASC 606 / IFRS 15 compliance—all while closing books faster. For RevRec that auditors actually trust, visit https://www.rightrev.com and schedule a demo.Navan is the all-in-one travel and expense solution that helps finance teams streamline reconciliation, enforce policies automatically, and gain real-time visibility. It connects to your existing cards and makes closing the books faster and smarter. Visit https://navan.com/runthenumbers for your demo.NetSuite is an AI-powered business management suite, encompassing ERP/Financials, CRM, and ecommerce for more than 41,000 customers. If you're looking for an ERP, head to https://netsuite.com/metrics and get the CFO's Guide to AI and Machine Learning.#platformbusiness #innovation #disruption #CapitalAllocation, #FinancialSoftware Get full access to Mostly metrics at www.mostlymetrics.com/subscribe

Синтез речи давно вышел за рамки утилитарных задач и стал важной частью взаимодействия человека с технологией: от помощников до медиа и образовательных продуктов. В гости к нам пришел Сергей Дуканов, который разрабатывал голосовые ассистенты Маруси, Алисы и Олега, а сейчас – CTO в международном AI dubbing стартапе Dubformer. В этом выпуске мы прошлись по четырём поколениям TTS-систем: от простейшего склеивания фрагментов до нейросетевых моделей, способных передавать интонации и эмоции. Обсуждаем, зачем синтезированной речи характер, почему интонационные “ошибки” делают голос живым и что важно учитывать при встраивании TTS в продукты. 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: Стас Цыганов, Аня Симонова Полезные ссылки: TTS от Nari Labs – модель понимает семантику и воспроизводит non-verbal звуки https://file.notion.so/f/f/66aabc3d-2e89-493a-b4a0-fff5163ca3ce/d6943564-77a0-42bb-ab1b-9d8b069791b4/audio_(15).wav?table=block&id=1db3a738-1c3e-802c-aafe-d6c1f0a80cf4&spaceId=66aabc3d-2e89-493a-b4a0-fff5163ca3ce&expirationTimestamp=1752854400000&signature=whU8sG9EDBhx_rFMQCmV0HjWKBKx52kKz69bVVJqhRM Больше примеров тут https://yummy-fir-7a4.notion.site/dia Примеры AI дубляжа от Dubformer: bobr curva на русском https://drive.google.com/file/d/1NT1kus-u7N67ThfAUFWfkggcCS_N2lvv/view?usp=sharing, TODO что-нибудь на английском

Ever wondered how AI is being applied in the world of clinical trials where human lives are at stake?In this episode, Patrick Leung, CTO of Faro Health and former Google Duplex Engineering Lead, reveals how AI is transforming the clinical trial process — a process that can cost up to $2 billion per drug and take over 10 years to complete. Patrick reveals how Faro Health's AI systems generate complex clinical documentation in minutes instead of months in which hallucinations aren't acceptable, while navigating the strict regulatory requirements of the healthcare industry.Patrick also reflects on the evolution of AI technologies, the realities of large language models, and offers practical advice on how to thrive in the rapidly changing AI-driven era.Key topics discussed:The evolution of AI from image recognition and Google Duplex to LLMsHow Faro Health uses AI to transform clinical trial processThe challenges of applying AI in highly regulated industriesAI's potential to save time and millions in clinical trialsHow to tackle AI hallucinations and ensure high-quality outputsPatrick's thoughts on AGI and the future of AI beyond current capabilitiesThe viability and limitations of vibe codingStrategies and advice for individuals to thrive in the AI eraTimestamps:(00:00) Trailer & Intro(02:09) Career Turning Points(02:46) The Advancements of AI in the Past 10 Years(04:13) Non-LLM Types of AI(05:42) The Google Duplex(07:28) The Use of AI in Faro Health(09:44) Tackling AI Hallucination for Clinical Documents(12:25) Building the Evaluation Process on AI Results(14:28) AI as a Research Assistant(16:40) The Need of Building Custom AI Model(18:50) The Huge Impact of AI in Clinical Trials(21:15) The Regulations on Applying AI Technology(23:28) AI Success Stories in the Life Science Industry(25:16) The Possibility of AGI(28:36) The Path to AGI Using LLM(30:43) Actions People Should Take in the AI Era(35:48) AI Engineers and AI-Enabled Engineers(38:37) The Viability of Vibe Coding(41:03) Hiring AI Engineers(42:26) Important Engineer Attributes in the AI Era(44:23) Important Leader Attributes in the AI Era(46:59) The Room for Juniors in the AI Era(49:04) Inspirational Story of a Successful Junior(51:33) 3 Tech Lead Wisdom_____Patrick Leung's BioPatrick Leung is a Chief Technology Officer at Faro Health, a company at the forefront of optimizing clinical trial development through the use of artificial intelligence.In his role, he is instrumental in applying large language models and other AI technologies to enhance protocol design and outcomes for clinical trials. A native of New Zealand, Mr. Leung holds degrees in Computer Science and Finance.His career includes being a foundational member of an early e-commerce software company, where he played a key role in guiding the company from its initial stages to a successful initial public offering.Follow Patrick:LinkedIn – linkedin.com/in/puiwahTwitter – x.com/puiwahWebsite – farohealth.comLike this episode?Show notes & transcript: techleadjournal.dev/episodes/226.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

In this episode, I sit down with Daniel Bardenstein, CTO & Co-Founder of Manifest Cyber.We discussed the AI supply chain security, including open source risks, AIBOMs, best practices for CISOs, and regulatory approaches in the U.S. and EU.We dove into:What is the same and different between the risks AI introduces across the enterprise compared to open source software, and where and how the two converge.The rise of an “AIBOM” and why it is becoming a critical part of enterprise risk management in the AI EraThe work Daniel and others are doing as part of a Tiger Team defining “SBOM-for-AI-Use Cases”.Why is it so difficult for organizations to gain visibility into their AI models' internals, especially training data, model provenance, and pipeline dependencies?Where CISOs and security teams can get started when it comes to understanding where and how AI is being used and avoiding some mistakes.Gaps among the current waves of AI security startups and how they contrast with the approach Manifest is taking when managing AI supply chain risks.Real-world insights and examples of how organizations operationalize SBOM for risk reduction.Key differences between the U.S. and EU regarding regulatory approaches to AI and supply chain security risks.

What do founders get wrong when trying to build a startup? Jeff Gibson, CTO and co-founder at Kintsugi, joins the show to break down how he approaches building around real business problems—not flashy features. Drawing from pre-IPO roles at Atlassian and his journey scaling Kintsugi, Jeff shares why understanding cash flow, revenue mechanics, and operational bottlenecks is critical for building something that lasts. Whether you're a startup founder or tech leader, this one's full of sharp insights on building with purpose.Key Takeaways • Solving “boring” problems can be wildly valuable—if you understand where the money flows • Great businesses start with a clear grasp of what companies actually value, not just what users say they want • Pre-IPO cleanup reveals hidden complexity in compliance, revenue recognition, and internal tooling • Pivoting without a strong North Star leads to wasted cycles; solve for the cause, not just symptoms • Not every successful business needs to be venture scale—but it does need to be viable and focusedTimestamped Highlights 01:17 — What Kintsugi actually does, and why indirect tax is a massive hidden challenge 03:49 — The “pre-IPO cleanup” playbook and how it shaped Jeff's understanding of business systems 06:52 — Why chasing product-market fit is risky if you don't deeply understand the business problem 09:44 — Talking to 100 customers before writing a single line of code 12:57 — The opportunity in low-innovation, high-value spaces (think CRMs, billing, compliance) 16:44 — Niche wins: why a $10M business in a focused segment can be more valuable than chasing unicorn statusQuote of the Episode “You don't want to find a boring problem that's commoditized. You want a boring problem that's valuable.”Resources Mentioned • Kintsugi: https://www.kintsugi.comCall to Action If you found Jeff's insights helpful, follow The Tech Trek for more conversations with builders and leaders shaping the future of tech. Share this episode with a founder friend, and don't forget to subscribe wherever you listen. Want to keep the conversation going? Connect with Jeff on LinkedIn.

Episode 116 of The Prakhar Gupta Xperience features Balaji Srinivasan, a visionary entrepreneur, investor, and author known for his influential ideas on technology, decentralization, and the future of society. Based in Silicon Valley, CA, he's the former CTO of Coinbase, co-founder of Andreessen Horowitz-backed startups like 21 Inc., and author of The Network State, a groundbreaking book on building digital-first nations.Recording Date: May 28, 2025This is what we talked about:00:00 - How Global Power is Shifting?07:16 - The US, China and the Internet 24:00 - How Powerful is China?53:45 - What China is NOT01:00:00 - The Internet Century 01:38:00 - What is Internet Place?01:40:00 - Concept of Network States01:47:10 - How can India Play to Win?02:19:45 - Are Dangers of AI Understated?02:26:54 - The Ignored Global Conspiracy.02:29:33 - The Truth about Human Psychology 02:35:00 - About Network School02:37:35 - Prakhar's Reflections

En este episodio de Hack Tu Vida hablamos con Vladimir Guzmán Mendoza, experto en innovación y mentor de emprendedores en Reino Unido, sobre lo que realmente significa vivir, aprender y trabajar en tiempos de inteligencia artificial. Conversamos sobre cómo la IA está transformando el mundo profesional, las oportunidades que representa para los latinos y por qué es urgente aprender a usarla sin miedo, sin importar tu edad o experiencia previa. Este episodio es una invitación a reemplazar el miedo por curiosidad, y la curiosidad por acción. TEMAS DESTACADOS: Qué es la inteligencia artificial (explicado para nuestras mamás). Por qué la IA no viene a quitarnos el trabajo, sino a liberarnos. Cómo los latinos pueden aprovechar esta tecnología para crear, aprender y crecer. El poder de los prompts: aprende a comunicarte con la IA para obtener resultados reales. Reinvención profesional: cambiar de carrera o aprender algo nuevo con IA. Automatización sin saber programar: ¡tú también puedes! El valor del coraje, la acción y el pensamiento crítico en la era digital. En esta conversación, Vladimir también comparte herramientas de inteligencia artificial que recomienda para empezar a automatizar tareas, crear contenido y resolver problemas reales sin necesidad de programar. Entre ellas están ChatGPT y Gemini para conversaciones inteligentes, Make y n8n para flujos de automatización, y Canva o Bo3 para diseño y creación de videos con IA. Además, menciona cuentas en español como @construyeconIA y @welcomemineiro, así como su propio proyecto @gingga.ai, enfocados en compartir conocimientos y aplicaciones prácticas de esta tecnología. "La inteligencia artificial no es el enemigo. Es el atajo. Y estamos justo a tiempo para aprender a usarlo." – Vladimir Guzmán Mendoza Comparte este episodio con alguien que aún cree que la IA es solo para expertos. ¿Tienes miedo de sonar tonto al usar estas herramientas? Este episodio te va a cambiar la perspectiva. Dale like si aprendiste algo nuevo y SUSCRÍBETE para seguir recibiendo conversaciones reales sobre tecnología, conciencia y crecimiento. Suscríbete a nuestro Newsletter www.hacktuvida.com

Laura Santamaria opens the listener mailbag to answer questions, including how to say yes or no to leadership opportunities without tanking your career or trashing your work-life balance. She also explores the mid-year review process and offers tips for successful self-evaluation and paths to self-growth. Episode Links: The Line Between Management and IC Leadership –... Read more »

From Coding to Catalyst: The Evolution of Technology Leadership

It's YOUR time to #EdUpStay ahead of the conversation in higher ed. Get early, ad-free access & exclusive leadership content by supporting Elvin & Joe for only $5.99 a month or $44.99 a year. YOU can also donate or gift a subscription at edupexperience.comIn this episode, part of our Academic Integrity Series, sponsored by Pangram Labs,YOUR guest is Dr. Ben Worth, Vice President of Academic Affairs, Mountain Gateway Community CollegeYOUR cohost is Bradley Emi , Cofounder & CTO, Pangram LabsYOUR host is Elvin FreytesHow does Dr. Worth define academic integrity & why does he focus on maintaining quality across diverse delivery methods? What makes Mountain Gateway's dual enrollment program successful in rural southwestern Virginia? How is the college balancing career & technical education with transfer pathways to four-year institutions? Topics include:Academic integrity as ensuring consistent learning outcomes regardless of student age or class location The Virginia Community College system's Uniform Certificate of General Studies (UCGS) program Embedding AI literacy across all disciplines from nursing to forestry management Listen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠● Join YOUR EdUp community at The EdUp ExperienceWe make education YOUR business!P.S. Support the podcast trusted by higher ed leaders. Get early, ad-free access & exclusive leadership content by supporting Elvin & Joe for only $5.99 a month or $44.99 a year. YOU can also donate or gift a subscription at edupexperience.com

Laura Santamaria opens the listener mailbag to answer questions, including how to say yes or no to leadership opportunities without tanking your career or trashing your work-life balance. She also explores the mid-year review process and offers tips for successful self-evaluation and paths to self-growth. Episode Links: The Line Between Management and IC Leadership –... Read more »

In this episode of Elixir Wizards, Charles Suggs sits down with Chris Grainger, co-founder and CTO of Amplified and creator of the Explorer library. Chris explains how Explorer brings the familiar data-frame workflows of R's dplyr and Python's pandas into the Elixir world. We explore (pun intended!) how Explorer integrates with Ecto, Nx, and LiveView to build end-to-end data pipelines without leaving the BEAM, and how features like lazy evaluation and distributed frames let you tackle large datasets. Whether you're generating reports or driving interactive charts in LiveView, Explorer makes tabular data accessible to every Elixir developer. We wrap up by looking ahead to SQL-style backends, ADBC connectivity, and other features on the Explorer roadmap. Key topics discussed in this episode: dplyr- and pandas-inspired data manipulation in Elixir Polars integration via Rust NIFs for blazing performance Immutable data frames and BEAM-friendly concurrency Lazy evaluation to work with arbitrarily large tables Distributed data-frame support for multi-node processing Seamless integration with Ecto schemas and queries Zero-copy interoperability between Explorer and Nx tensors Apache Arrow and ADBC protocols for cross-language I/O Exploring SQL-style backends for remote query execution Building interactive dashboards and charts in LiveView Consolidating ETL workflows into a single Elixir API Streaming data pipelines for memory-efficient processing Tidy data principles and behavior-based API design Real-world use cases: report generation, patent analysis, and more Future roadmap: new backends, query optimizations, and community plugins Links mentioned: https://hexdocs.pm/explorer/Explorer.html https://www.amplified.ai/ https://www.r-project.org/ https://vita.had.co.nz/papers/tidy-data.pdf https://www.tidyverse.org/ https://www.python.org/ https://dplyr.tidyverse.org/ https://go.dev/ https://hexdocs.pm/nx/Nx.html https://github.com/pola-rs/polars https://github.com/rusterlium/rustler https://www.rust-lang.org/ https://www.postgresql.org/ https://hexdocs.pm/ecto/Ecto.html https://www.elastic.co/elasticsearch https://arrow.apache.org/ Chris Grainger & Chris McCord Keynote ElixirConf 2024: https://youtu.be/4qoHPh0obv0 https://dbplyr.tidyverse.org/ https://spark.posit.co/ https://hexdocs.pm/pythonx/Pythonx.html https://hexdocs.pm/vegalite/VegaLite.html 10 Minutes to Explorer: https://hexdocs.pm/explorer/exploringexplorer.html https://github.com/elixir-nx/scholar https://scikit-learn.org/stable/ https://github.com/cigrainger https://erlef.org/slack-invite/erlef https://bsky.app/profile/cigrainger.bsky.social https://github.com/cigrainger

In this episode of Innovation and the Digital Enterprise, Patrick and Shelli chat with Steve Gall, CTO of M1 Finance, a personal finance platform. Steve talks about his journey helping scale M1 from a few engineers to a platform managing over $10 billion in client assets. Steve shares insights about the ways that he and M1 have managed risk, navigated compliance in this highly regulated industry, and deftly adjusted technical strategies during rapid growth.Steve highlights a commitment to centering the user, providing a safe, stable, trustworthy experience even in the midst of a shifting fintech landscape, and while his company was quickly scaling. He shares the challenges, the opportunities, and the strategies involved in growing the M1, stressing the importance of resilience, empathy, and adaptability in leadership. The conversation closes with a chat about Steve's passion for pinball and a great list of his recommended reads for CTOs.(00:00) Welcome Steve Gall, CTO of M1 Finance(01:32) Steve's Background and Role at M1 Finance(04:26) Childhood Investment Interests(07:23) The Concept Behind M1 Finance(13:16) Regulatory Challenges and Growth(16:33) Transition to Self-Clearing Broker Dealer(20:33) Achieving Hockey Stick Growth(23:09) Navigating Organizational Challenges(25:24) Scaling and Downsizing(28:03) Handling Workforce Reductions with Empathy(31:53) Pinball, Personal Insights and Recommended Reads(38:08) Closing ThoughtsSteve Gall is the Chief Technology Officer at M1 Finance. He serves on the board at B2 Bank and is involved with P33 Chicago. Past roles include Technical Architect at Avionos LLC, and Senior Associate at Acquity Group (part of Accenture Interactive). He started his career at Alcon Labs after earning a Bachelors in Computer Science at Purdue University.If you'd like to receive new episodes as they're published, please subscribe to Innovation and the Digital Enterprise in Apple Podcasts, Spotify, or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review in Apple Podcasts. It really helps others find the show.Podcast episode production by Dante32.

In this episode of Unspoken Security, host AJ Nash speaks with Dr. Peter Garraghan, CEO and CTO of Mindgard. They discuss the real-world security risks of artificial intelligence. Peter starts with a simple point: AI is just software, and software is easy to break. He urges businesses using AI to step back and truly understand its vulnerabilities.Peter draws parallels between the current AI boom and past technology cycles like cloud computing. While AI feels revolutionary, the security risks are not new. Threats like data poisoning and prompt injection are modern versions of classic cybersecurity problems. The danger is that AI's human-like interface makes it easy to anthropomorphize, causing users to overlook fundamental security flaws.To manage these risks, Peter advises companies to treat AI like any other software. This means applying the same rigorous security controls, testing protocols, and incident response playbooks. Instead of creating a separate process for AI, organizations should find the gaps in their current security posture and update them. This practical approach helps businesses secure AI systems effectively.Send us a textSupport the show

How do you go from idea to impact—without wasting time or overbuilding too early? In this episode, Joe Colantonio is joined by Mac, CTO at Wednesday Solutions, to dive deep into what it really takes to scale software smartly and sustainably. They explore the mindset and systems needed to go from MVP to product-market fit, how to think about scaling for 3 years (not forever), and the biggest distribution mistakes startups make. You'll also hear hard-earned lessons on using AI tools effectively, when to skip hyped tech (like serverless), and why building great software isn't enough—you need distribution and insight to win. Try out Insight Hub free for 14 days now: https://testguild.me/insighthub. No credit card required.

Today, I'm talking with Kolton Andrus, CEO and Founder of Gremlin. You may remember previously when we spoke with Matt, the prior CTO of the company. Since that time frame, a lot has changed at the company, going through several arcs and foundational changes that are leading to not only assessing weaknesses in your infrastructure, but walking you through how to fix it (and eventually, fixing it for you).Questions:Tell us a little bit of an overview about you.Your time at Amazon & Netflix were big influences on the importance of chaos engineering and reliability testing. Can you tell me what was so foundational about your time there?What is next iteration of Gremlin? What has changed in the platform primarily? Tell me about the arcs of the company here.In 2022, there was a leadership transition and you increased your focus on the product. What are some of the most exciting developments that came from these last 3 years?Where does AI fit into Chaos Engineering? And where does it not fit? Can you unpack your viewpoint here?What are you most excited about in the next chapter for Gremlin, and for the broader SRE space?What advice would you give a founder just getting started?I couldn't be more excited about the future of Gremlin. Given the arcs the company has gone through, it's evident that Kolton has built foundational layers into the platform, and is steering the ship towards responsible chaos engineering, reliability, automation and much more.Thank you for listening to today's episode. If you'd like to learn more about Gremlin, please visit gremlin.com.SponsorsPaddle.comSema SoftwarePropelAuthPostmanMeilisearchMailtrap.TECH Domains (https://get.tech/codestory)Linkshttps://www.gremlin.com/https://www.linkedin.com/in/kolton-andrus-77315a2/https://codestory.co/podcast/e9-matt-fornaciari-gremlin/Support this podcast at — https://redcircle.com/code-story/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

NautobotGPT is a new AI assistant for Nautobot that helps engineers with network automation, answers questions, recommends tooling, and delivers working code. We discuss the user experience of NautobotGPT with Matthew Schwen, Associate Director of Network Automation at Humana, CoFounder and CTO of PortalCX; and Brad Haas, VP of Professional Services at Network to Code.... Read more »

Ep 612 features Lani, a CTO and 911 professional with Round Rock PD, TX. Sponsored by INdigital - Facebook | LinkedIn | Twitter | Web Episode topics – Lani's unique journey from caring for police K9s to answering life-changing emergency calls The biggest challenges and lessons of 911 call taker training How previous customer service experience prepped Lani for high-stress calls Personal stories from the front lines, including handling officer emergencies and emotional calls The importance of support, mentorship, and mental health resources for dispatchers If you have any comments or questions or would like to be a guest on the show, please email me at wttpodcast@gmail.com.

NautobotGPT is a new AI assistant for Nautobot that helps engineers with network automation, answers questions, recommends tooling, and delivers working code. We discuss the user experience of NautobotGPT with Matthew Schwen, Associate Director of Network Automation at Humana, CoFounder and CTO of PortalCX; and Brad Haas, VP of Professional Services at Network to Code.... Read more »

Hoy conversé con Diego Rodriguez, cofundador y CTO de Krea.ai, una plataforma que permite generar y editar imágenes y videos con IA en tiempo real. Con menos de 15 personas en el equipo, Krea ya es usada por Pixar, LEGO, Samsung y más de 20 millones de usuarios en todo el mundo.A la fecha, Krea ha levantado $83M de fondos como Bain Capital, a16z y Pebblebed.Diego y yo hablamos sobre:Por qué San Francisco es "la capital de lo rarosCómo un meme detonó su crecimiento de 0 a $20M en ARRPor qué el control y la personalización son el futuro de la IA creativaLa visión de crear modelos personalizados a sus usuariosNotas del episodio: https://startupeable.com/kreaPara más contenido síguenos en:YouTube  | Sitio Web En Startupeable, hacemos más con Notion, la plataforma todo en uno para organizar tu startup. Docs, tareas, bases de datos—todo en un solo lugar y ahora con IA para trabajar más rápido y mejor.Nos aliamos con Notion para regalarte 3 meses gratis del Plan Business + IA ilimitada, hasta 100 empleados

This week on The Data Stack Show, John chats with Paul Blankley, Founder and CTO of Zenlytic, live from Denver! Paul and John discuss the rapid evolution of AI in business intelligence, highlighting how AI is transforming data analysis and decision-making. Paul also explores the potential of AI as an "employee" that can handle complex analytical tasks, from unstructured data processing to proactive monitoring. Key insights include the increasing capabilities of AI in symbolic tasks like coding, the importance of providing business context to AI models, and the future of BI tools that can flexibly interact with both structured and unstructured data. Paul emphasizes that the next generation of AI tools will move beyond traditional dashboards, offering more intelligent, context-aware insights that can help businesses make more informed decisions. It's an exciting conversation you won't want to miss.Highlights from this week's conversation include:Welcoming Paul Back and Industry Changes (1:03)AI Model Progress and Superhuman Domains (2:01)AI as an Employee: Context and Capabilities (4:04)Model Selection and User Experience (7:37)AI as a McKinsey Consultant: Decision-Making (10:18)Structured vs. Unstructured Data Platforms (12:55)MCP Servers and the Future of BI Interfaces (16:00)Value of UI and Multimodal BI Experiences (18:38)Pitfalls of DIY Data Pipelines and Governance (22:14)Text-to-SQL, Semantic Layers, and Trust (28:10)Democratizing Semantic Models and Personalization (33:22)Inefficiency in Analytics and Analyst Workflows (35:07)Reasoning and Intelligence in Monitoring (37:20)Roadmap: Proactive AI by 2026 (39:53)Limitations of BI Incumbents, Future Outlooks and Parting Thoughts (41:15)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Whether it’s CNAME records pointing to dead endpoints or abandoned cloud storage buckets still mentioned in the makefile or Chef recipe, seemingly innocuous bits of infrastructure that don’t get cleaned up can turn into serious security threats. (Both of these examples are taken from real-life attacks, BTW). When and how and who within IT should... Read more »

July 22, 2025: Charles Christian, VP of Technology and CTO at Franciscan Health, joins Nayan Patel, SVP of FinThrive, to discuss their healthcare innovation lab and supporting clinicians. What happens when a tech giant realizes it can't just provide a platform but must become a true partner in life-safety systems? Charles reveals how Franciscan's tech innovation lab uses donated equipment and a "fail fast" approach to test everything from ambient listening to virtual care solutions before rolling them out. How do you balance innovation with the reality that clinical staff expect technology to work seamlessly? The conversation explores application rationalization strategies that eliminated over 150 redundant systems and the ongoing challenge of measuring ROI when reimbursement rules constantly shift. Key Points: 03:49 Challenges and Solutions in Cloud Migration 07:17 Tech Innovation Lab and Pilot Projects 17:23 Application Rationalization and Cost Management 23:14 Final Thoughts and Fun Questions X: This Week Health LinkedIn: This Week Health Donate: Alex's Lemonade Stand: Foundation for Childhood Cancer

Whether it’s CNAME records pointing to dead endpoints or abandoned cloud storage buckets still mentioned in the makefile or Chef recipe, seemingly innocuous bits of infrastructure that don’t get cleaned up can turn into serious security threats. (Both of these examples are taken from real-life attacks, BTW). When and how and who within IT should... Read more »

In this episode of ACM ByteCast, Rashmi Mohan hosts ACM Fellow and 2016 ACM Software System Award recipient Alfred Spector, Professor of Practice in the MIT EECS Department. He was previously CTO of Two Sigma Investments, and before that Vice President of Research and Special Initiatives at Google. Alfred played a key role in developing the Andrew File System (AFS), a breakthrough in distributed computing that later became a commercial venture. He is also known for coining the term “CS + X.” He is a Fellow of the American Academy of Arts and Sciences, Hertz Foundation, and National Academy of Engineering, and recipient of the IEEE Kanai Award for Distributed Computing. Alfred recounts how he initially pursued programming out of personal enjoyment in college. He talks about developing AFS at Carnegie Mellon University, the challenges of turning academic research into commercial products, and the transition from academia to entrepreneurship, sharing some of the lessons learned along the way. Alfred touches on his time at IBM, which acquired his startup Transarc, and the differences between startups and large corporations. He also talks about some of his most notable work as a technical leader at Google, such as Google Translate. Finally, he offers a unique perspective on the rapid evolution of AI and advocates for a more multidisciplinary approach for developing responsible technology. “Google's hybrid approach to research” paper “More Than Just Algorithms” (ACM Queue article)

David Heinemeier Hansson (aka DHH) is a legendary programmer, creator of Ruby on Rails, co-owner & CTO of 37signals that created Basecamp, HEY, & ONCE, and is a NYT-best-selling author (with Jason Fried) of 4 books: REWORK, REMOTE, Getting Real, and It Doesn't Have To Be Crazy At Work. He is also a race car driver, including a class-winning performance at the 24 hour Le Mans race. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep474-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/dhh-david-heinemeier-hansson-transcript CONTACT LEX: Feedback - give feedback to Lex: https://lexfridman.com/survey AMA - submit questions, videos or call-in: https://lexfridman.com/ama Hiring - join our team: https://lexfridman.com/hiring Other - other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: DHH's X: https://x.com/dhh DHH's Website: https://dhh.dk/ Ruby on Rails: https://rubyonrails.org/ 37signals: https://37signals.com/ DHH's books: Rework: https://amzn.to/44rSKob Remote: https://amzn.to/44GFJ91 It Doesn't Have to Be Crazy at Work: https://amzn.to/46bzuwx Getting Real: https://amzn.to/4kzoMDg SPONSORS: To support this podcast, check out our sponsors & get discounts: UPLIFT Desk: Standing desks and office ergonomics. Go to https://upliftdesk.com/lex Lindy: No-code AI agent builder. Go to https://go.lindy.ai/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to http://netsuite.com/lex OUTLINE: (00:00) - Introduction (00:58) - Sponsors, Comments, and Reflections (08:48) - Programming - early days (26:13) - JavaScript (36:32) - Google Chrome and DOJ (44:19) - Ruby programming language (51:30) - Beautiful code (1:09:31) - Metaprogramming (1:12:52) - Dynamic typing (1:20:10) - Scaling (1:33:03) - Future of programming (1:50:34) - Future of AI (1:56:29) - Vibe coding (2:05:01) - Rails manifesto: Principles of a great programming language (2:29:27) - Why managers are useless (2:38:48) - Small teams (2:44:55) - Jeff Bezos (3:00:13) - Why meetings are toxic (3:07:58) - Case against retirement (3:15:15) - Hard work (3:20:53) - Why we left the cloud (3:24:04) - AWS (3:33:22) - Owning your own servers (3:39:35) - Elon Musk (3:49:17) - Apple (4:01:03) - Tim Sweeney (4:12:37) - Fatherhood (4:38:19) - Racing (5:05:23) - Cars (5:10:41) - Programming setup (5:25:51) - Programming language for beginners (5:39:09) - Open source (5:48:01) - WordPress drama (5:59:18) - Money and happiness (6:08:11) - Hope