Podcasts about ai00

Depending on whom you ask, AI is either the best or worst thing that can happen to the next generation. The arguments come from educators, venture capitalists, op-ed writers, and anxious parents—but rarely from the young people in question. On this episode of AI & I, Dan Shipper sat down with one: Alex Mathew, a 17-year-old high-school senior at Alpha High School in Austin, Texas. Alpha School, a rapidly expanding network of kindergarten through grade 12 private schools, is not without controversy. Inside Alpha High School, there are no traditional teachers, all academic content is delivered through an AI-powered platform, and the adults in the classroom, known as “guides,” focus solely on supporting the students emotionally and keeping them motivated to learn. The students have two- to three-hour learning blocks every morning and spend the rest of the day going deep on a project in an area they care about, spanning art, sport, life skills, and entrepreneurship.Mathew's project is a startup called Berry, built around an AI stuffed animal designed to help teenagers with their mental health. His vision is for teens to talk to the plushie for five to 10 minutes a day and, in the process, learn to recognize and cope with their problems in the right way. In this episode, Dan and Mathew talk about what a day at Alpha High looks like, what keeps students from cheating when AI is everywhere, and how Generation Z—people born between 1997–2012—really feels about college, social media, and books. If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper In a world of generic AI, don't sound like everyone else. With Grammarly, you never will. Download Grammarly for free at Grammarly.com.Intent is what comes after your IDE. Try it yourself: augmentcode.com/intentHead to granola.ai/every to get 3 months freeTimestamps: 00:00:00 – Start 00:01:30 – Introduction00:04:08 – A typical day inside Alpha High School00:06:54 – Why Alpha replaced teachers with “guides” focused on motivating students00:12:09 – Why Mathew doesn't use AI to cheat, even though he could00:19:51 – Do ambitious teenagers care about going to college?00:25:12 – Mathew's take on how Gen Z thinks about AI00:27:52 – How Mathew thinks about the effects of social media00:31:29 – Gen Z's relationship with books and reading00:38:57 – Mathew ranks ChatGPT, Claude, Gemini, and Grok00:47:12 – Why Mathew is building Berry, an AI stuffed animal for teen mental healthLinks to resources mentioned in the episode:Alex Mathew: Alex Mathew (@alxmthew)More about Berry: https://berryplush.com/, Berry (@berryaiplushies)

Nowe dane o zmieniającym się rynku pracy, Sonyzamyka Bluepoint a EA używa komentatora AI. Zapraszam do materiału! 

WEBINAR LINK:https://shawnmoore.clickfunnels.com/optiniyvvg89sWant to learn more about Vodyssey or start your STR journey. Book a call here:https://meetings.hubspot.com/vodysseystrategysession/booknow?utm_source=vodysseycom&uuid=80fb7859-b8f4-40d1-a31d-15a5caa687b7FOLLOW US:https://www.facebook.com/share/g/16XJMvMbVo/https://www.instagram.com/vodysseyshawnmoorehttps://www.facebook.com/vodysseyshawnmoore/https://www.linkedin.com/company/str-financial-freedomhttps://www.tiktok.com/@vodysseyshawnmooreCONTACT US:support@vodyssey.comSOURCES:1) https://techcrunch.com/2026/02/13/airbnb-plans-to-bake-in-ai-features-for-search-discovery-and-support/2) https://mashable.com/article/airbnb-testing-ai-powered-search-feature3) https://nationaltoday.com/us/ma/boston/news/2026/02/14/airbnb-plans-to-integrate-ai-across-search-discovery-and-support/Chapters:00:00:00 Intro00:02:54 The Impact of AI on Property Management00:05:48 Curating Unique Experiences for Guests00:09:01 The Role of Property Managers in an AI World00:11:50 Strategies for Property Managers00:15:11 Pricing Strategies and AI Integration00:18:06 The Future of Customer Experience with AI00:21:08 Hypothetical Scenarios: Self-Management and Personal Touch

Dr. Jackie Cheung is an Associate Professor at McGill University where he co-directs the Reasoning and Learning Lab. He is also an Associate Scientific Director at Mila-Quebec Artificial Intelligence Institute. He and his team are developing computational models to improve the reliability, pragmatics, and evaluation of large language models to ensure they are contextually appropriate and factually grounded.Jackie was worked as a consultant researcher with Microsoft Research and before his current appointments, he earned his PhD and MSc in Computer Science from the University of Toronto, focusing on computational linguistics, and his BSc from the University of British Columbia.00:00:00 Highlight & Introduction00:02:04 Entrypoint in AI & NLP00:04:47 Academia vs. Industry: Career choices00:09:48 Language Revitalization using AI00:12:24 Addressing Biases & Data sovereignty in language revitalization 00:15:49 Evaluating LLMs as Judges00:17:14 Validity and reliability in LLM evaluation 00:25:11 Evidence-centered benchmark design (ECBD) framework00:30:38 Gaps in LLM benchmarks and meaning of "general purpose" AI00:35:24 General purpose intelligence vs reasoning00:40:16 Safety as an undefined bundle in LLMs00:51:45 Stochastic chameleons: how LLMs generalize and hallucinate 01:03:02 Potential & Biases of agentic frameworks for research01:05:52 Evaluating LLMs for summarization01:11:43 Scaling large language models01:16:33 Advice to beginners entering AI in 202601:20:33 Pitfalls to avoid in AI research & development More about Jackie & his research: https://www.cs.mcgill.ca/~jcheung/About the Host:Jay is a Machine Learning Engineer III at PathAI working on improving AI for medical diagnosis and prognosis. Linkedin: https://www.linkedin.com/in/shahjay22/Twitter: https://twitter.com/jaygshah22Homepage: https://jaygshah.github.io/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

V 83. epizóde som sa rozprával s Vladimírom Šuchom, dlhoročným odborníkom z európskych inštitúcií, ktorý rieši dopady technológií na spoločnosť a prax okolo AI z prvej línie. V rozhovore sme sa pozreli na to, či nám umelá inteligencia reálne vezme prácu, alebo sa len mení to, čo znamená byť užitočný v novej ekonomike. Prečo je dnes dôležitejšie rozumieť kontextu, než len naháňať nové nástroje?Otvorene sme rozobrali reguláciu. Vladimír vysvetľuje, prečo je predstava „Európa reguluje, preto prehráva“ zjednodušená, a prečo bez pravidiel riskujeme, že AI nebude pomáhať ľuďom, ale začne ich vytláčať alebo vytvárať škody, ktoré už nikto neopraví. Padla aj téma praktickej roviny pre Slovensko. Ak chceme mať v AI obrane a bezpečnosti reálnu rolu, musíme prestať byť pasívni, prestať sa správať ako piesok v motore Únie a začať hrať tímovo, hlasno a užitočne.Silná časť prišla pri sociálnych sieťach. Bavili sme sa o tom, že samotné algoritmy nie sú zlé, ale sú nastavené tak, aby maximalizovali pozornosť. A práve preto prirodzene zistili, že toxický obsah, hnev a konflikt fungujú najlepšie. Výsledkom je spoločnosť, ktorá sa polarizuje rýchlejšie, než ju stihneme opravovať. A keď do toho vstúpia deti, je to ešte citlivejšie. Vladimír hovorí priamo o tom, že deti treba od sietí držať čo najďalej – a namiesto toho im budovať schopnosť sústrediť sa, spolupracovať a komunikovať v realite.V závere sme riešili všeobecnú umelú inteligenciu a otázku, či sa blížime k bodu, v ktorom už nebude AI len nástroj, ale niečo, čo začne výrazne predbiehať človeka. Pre praktickú predstavu sme pomenovali zručnosti, ktoré majú hodnotu bez ohľadu na to, ako rýchlo sa technológie menia. Ide najmä o medziľudskú komunikáciu, spoluprácu a schopnosť premýšľať tak, aby sme vedeli robiť rozhodnutia aj pod tlakom. Tento diel je ideálny pre podnikateľov, manažérov, rodičov a každého, kto chce mať v AI jasno bez paniky a bez bullshitu. Užívajte!---------------------------------------------------------------------------Kapitoly: 00:00:00 – Predstavenie hosťa 00:01:29 – Vezme nám AI prácu?00:07:22 – Musíme regulovať AI?00:12:19 – Európska AI00:14:04 – Slovensko a AI obrana00:16:44 – Všeobecná umelá inteligencia00:23:34 – Algoritmy sociálnych sietí00:25:24 – AI ako nástroj na učenie detí00:30:58 – Aké zručnosti by mal mať každý?00:38:53 – Ľudský vs. technologický vývoj00:43:23– Čo odporúča Vladimír Šucha?00:46:49 – Zmysel života podľa Vladimíra Šuchu---------------------------------------------------------------------------Viac z podcastov nájdete na:https://www.truban.sk/podcast/---------------------------------------------------------------------------Všetky spomenuté knihy a podcasty nájdete v článku na blogu:https://wp.me/p5NJVg-Vl---------------------------------------------------------------------------Podcast si môžete vypočuť aj na streamovacích platformách:● Spotify ▸ https://spoti.fi/31Nywax ● Apple podcast ▸ https://apple.co/3n0SO8F---------------------------------------------------------------------------● Najlepšie z podcastu na Instagrame ●https://www.instagram.com/truban.podcast/● Truban.sk ●https://bit.ly/3r1vYQJ ● Instagram ●https://www.instagram.com/truban/● Facebook ●https://www.facebook.com/miso.truban● LinkedIn ●https://sk.linkedin.com/in/truban

Jutta Leerdam behaalt goud op de 1000 meter in een emotionele finale waarin ze zichzelf en kleindenkend Nederland overtreft. We bespreken de moeite die een groot deel van Nederland heeft met haar succes en de rol van de "zesjes cultuur" die ons al sinds de tweede wereldoorlog klein houdt. Verder nog wat AI, de rol van vraag en aanbod in een economie gedreven door overvloed en een nieuw perspectief op de EU plastic dopjes gateWord bazige baas

A CMO Confidential Interview with Pete Imwalla, former CEO of RPA and 4A's board member. Pete shares his take on how many tech changes resulted in additional agency headcount, how AI is rapidly reversing that trend, and why many agency valuations have dropped significantly over the last 5 years. Key topics include: why brand building is like infrastructure; how Publicis is bucking the trend; how to think about "in-housing;" and why Paul Roetzer's CMO 2023 CMO Confidential show was prescient. Tune in to hear about the "2nd mover advantage" and why he hates the concept of "future proofing." Agency economics are getting rewritten in the age of AI. Mike Linton sits down with Pete Imwalle 32-year RPA veteran and former CEO to dissect what's changing—and what leaders should do about it. They cover the shift from reach to relevance, why FTE-based fees are misaligned in an AI world, how to separate automation from actual advantage, and where in-housing does and doesn't work. Along the way: the sustained business impact of the Farmers “We know a thing or two…” campaign, the rise of agentic workflows, and why “future-proofing” starts with culture, not clairvoyance. Chapters00:00:00 – Cold open + show setup00:00:22 – Mike's intro, Pete's background, and today's topic00:01:18 – Farmers campaign wins Sustained Effie) and effectiveness creativity00:02:18 – 30 years of change: from Prodigy/AOL/CompuServe to Netscape and the open web00:03:24 – Google + broadband: when digital finally changed consumer behavior00:04:33 – Mobile's second wave and the trap of “mobile-first/AI-first” strategies00:06:01 – How agencies adapted: leadership, curiosity, and tolerance for experimentation00:07:42 – Investing ahead of revenue: offense + defense in capability building00:08:22 – Reach fragmentation: from “40% on Cheers” to only the Super Bowl00:09:18 – The real squeeze: boards treating advertising as expense, not investment00:10:13 – Short-termism, PE/VC incentives, and brand vs. performance00:12:21 – “Adapt or die”: AI as an extinction event? (hat tip: Paul Roetzer)00:13:28 – Agentic workflows: shrinking grunt work (esp. media & strategy ops)00:16:00 – Client asks: “give me savings, don't risk my IP”00:16:36 – Why FTE pricing disincentivizes efficiency; pay for outcomes instead00:17:51 – Three futures: AI-native, AI-emergent, or obsolete00:21:39 – Holding-company moves; why Publicis is outpacing peers00:22:00 – Agency valuations: ~40% decline over five years; second-mover advantage in AI00:26:37 – In-housing: when it works, when it backfires, and true cost to own00:28:48 – Build vs. buy: amortization, maintenance, and staying current00:30:16 – The Geico lesson: investing through the curve until returns flatten00:31:22 – What to test by EOY 2026: culture, change management, and low-hanging automation00:34:02 – Ditch “future-proofing”; hire for curiosity and adaptability00:35:35 – Wrap + where to find more CMO ConfidentialTagsCMO Confidential,Mike Linton,Pete Imwalle,RPA,agency economics,advertising,marketing leadership,AI in marketing,agentic workflows,media planning,marketing strategy,brand vs performance,FTE pricing,procurement,in-housing,holding companies,Publicis,Omnicom,Super Bowl ads,Effie Awards,Farmers Insurance campaign,Geico case study,change management,digital transformation,marketing AI,MarTech,measurement,short term vs long term,CMO,CEO,CFO,board governanceSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Andrew Beck, MD, PhD is the Co-founder and CEO of PathAI, where he and his team are developing AI tools to improve the precision of pathology and the efficacy of drug development for diagnosis of cancer and also many other complex diseases.Before founding PathAI, Andrew was an Associate Professor at Harvard Medical School, where his research focused on the application of machine learning to cancer pathology. He earned his MD from Brown University and his PhD in Biomedical Informatics from Stanford University, where he pioneered some of the first computational models used to predict patient outcomes in oncology.Time stamps of the conversation:00:00:00 Highlights00:01:28 Introduction00:02:18 Entrypoint in AI00:07:02 Background in Medicine and Bioinformatics 00:10:00 Leap from academia to entrepreneurship00:16:20 Translating AI developments to Pathology00:21:15 Specialist vs Generalist AI models in medicine00:24:15 What sets PathAI apart?00:26:32 AI adoption medicine00:34:25 Usage of AI tools in clinical workflows, example MASH00:40:10 AI in Dermatopathology00:42:15 AI for biomarker discovery00:47:05 Will AI models replace pathologists?00:52:28 Avoiding over-reliance on AI00:57:40 Is AI living unto the hype?01:01:00 Challenges in clinical trials 01:05:12 AI reaching patients directly01:09:50 Working at intersection of AI & Healthcare01:15:30 Pitfalls to learn fromMore about PathAI: https://www.pathai.com/and Andy: https://www.pathai.com/about-us/andy-beckAbout the Host:Jay is a Machine Learning Engineer III at PathAI working on improving AI for medical diagnosis and prognosis. Linkedin: https://www.linkedin.com/in/shahjay22/Twitter: https://twitter.com/jaygshah22Homepage: https://jaygshah.github.io/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

In this episode of NeedleXChange I interview Ruth O'Leary.Ruth O'Leary is an award-winning embroiderer who's been exploring AI image generation as a tool for design, iteration, and self-expression.We talk about AI as a “new medium” (and the early chaotic phase of it), parallels with the Jacquard loom and past industrial shifts, the difference between screen-based fakery and physical needlework, and how Ruth uses AI outputs as reference material that gets reimagined through applique + embroidery to speed up making without losing what Ruth loves about stitching.Timestamps:00:00:00 - Introduction00:01:30 - Exploring AI Art and Personal Journey00:04:20 - The Evolution of Artistic Expression through AI00:07:03 - The Unexpected Outcomes of AI in Art00:12:46 - The Impact of Technology on Traditional Crafts00:15:35 - Navigating the Challenges of AI and Authenticity00:18:34 - The Balance of Speed and Craftsmanship in Art00:22:17 - The Role of AI in Realizing Artistic Visions00:25:07 - The Process of Creation and InspirationLinks:Website: rostara.co.ukInstagram: rostara.handmadeIntro music is Far Enough by Shiver Disk via Epidemic Sound.About NeedleXChange:NeedleXChange is a conversation podcast with embroidery and textile artists, exploring their process and practice.Hosted by Jamie "Mr X Stitch" Chalmers, it is an in-depth showcase of the best needlework artists on the planet.Visit the NeedleXChange website: needl.exchangeSign up for the NeedleXChange Newsletter here: bit.ly/NeedleXChangeNewsIf you want embroidery inspiration and regular doses of textile art, visit the Mr X Stitch site here: mrxstitch.comIf you're looking for modern cross stitch designs, then XStitch is the magazine you need!Find out more here: xstitchmag.comAnd follow Mr X Stitch on all the usual social media channels!Facebook: mrxstitchInstagram: mrxstitchPinterest: mrxstitchYouTube: mrxstitchLinkedIn: mrjamiechalmers

On this episode of The Leadership Standard, Leland Vittert shares a powerful story of resilience, mentorship, and becoming strong in a world that doesn't always make room for difference.Diagnosed with autism as a child, Leland was relentlessly bullied, underestimated, and told—explicitly—that he didn't fit. What followed was not a neat success story, but years of difficulty shaped by an extraordinary decision from his father: to step away from his career and devote himself fully to preparing his son for a world that would not bend for him. That choice, grounded in love, discipline, and unyielding standards, changed the trajectory of Leland's life.Today, as one of America's most respected journalists and news anchors, Leland offers a rare and deeply honest perspective on leadership forged through adversity. His reflections on earned self-esteem, emotional control, mentorship, loneliness, and standing up to bullies resonate far beyond his personal story—especially for CEOs and leaders navigating pressure, isolation, and high-stakes decision-making.This conversation is not about labels or limitations. It's about refusing to quit, choosing strength over resentment, and learning how presence, discipline, and empathy can shape not only a career, but a life. For anyone leading others—or simply trying to lead themselves through challenge—this episode offers clarity, perspective, and hope that stays with you long after the episode ends.Chapters:00:00:00 Introduction: The Leadership Standard with L00:02:05 Born Lucky: A Dedicated Father, A Grateful Son, and My Journey with Autism00:07:20 Why Born Lucky Isn't Just About Autism00:08:37 “Everyone Thinks Your Son Is Weird” – A Defining School Moment00:08:59 Why Born Lucky Is Bigger Than Autism00:11:06 Autism Doesn't Look the Way People Expect00:11:29 A 70-Point IQ Gap and a Devastating Diagnosis00:12:50 The Decision to Never Let a Diagnosis Define Him00:13:59 A Universal Story of Parental Love and Hope00:14:32 When His Father Quit His Career to Be Fully Present00:15:16 Recounting the Art Teacher Incident as an Adult00:16:03 The Emotional Toll on a Father Who Never Quit00:17:31 “Self-Esteem Is Earned, Not Given”00:20:18 “If You Quit, They Win” – A Life-Defining Lesson00:23:01 The Fraternity Rejection That Became a Turning Point00:24:46 Realizing Self-Change Was Necessary00:26:14 Learning Empathy, Conversation, and Human Connection00:28:23 Advice for CEOs Dealing With Quiet or Narcissistic Bullies00:32:27 Loneliness at the Top of Leadership00:33:22 Vulnerability, Marriage, and a Small Trusted Circle00:34:09 “You're Not Alone” – The Real Impact of Born Lucky00:35:24 Using Loneliness as Fuel Instead of Weakness00:36:51 Mentorship in the Age of AI00:38:04 His Mother's Quiet Strength Behind the Scenes00:39:37 The Cost of Autism on Siblings and Family Loyalty00:41:05 First Professional Mentor Who Took a Chance on Him00:43:09 The Three A's: Appreciate, A Moment, An Action00:49:26 Outro: ReflectionTEC Canada is where the brightest minds in leadership gather. Learn how membership supports growth-minded executives: https://bit.ly/3INwmxqConnect with Leland Vittert at linkedin.com/in/lelandvittertBuy the book “Born Lucky: A Dedicated Father, A Grateful Son, and My Journey with Autism” on Amazon at https://www.amazon.com/Born-Lucky-Dedicated-Grateful-Journey/dp/140025468XThe Leadership Standard, hosted by TEC Canada speaker and leadership development and resilience expert Jamie Mason Cohen, features in-depth conversations with subject matter experts all across the business spectrum. Featuring thought leadership and actionable insights to challenge your assumptions—and inspiring stories of business triumphs, struggles, and perseverance that provide a motivational push—every episode of The Leadership Standard is a revealing discussion about the life of business and the business of life.

Your website might rank #1 on Google but be completely invisible to ChatGPT, Claude, and Perplexity. In this episode, let's break down why a huge chunk of the web is fundamentally broken for AI systems - not because of bad content, but because of technical decisions that made sense for humans but make sites invisible to the AI systems rapidly becoming the front door to the internet.Chapter Timestamps00:00:00 - Introduction: The new game your website is losing00:01:43 - The Scale of the Problem: AI crawler traffic explosion00:05:19 - The JavaScript Problem: Why AI crawlers can't see your content00:10:28 - The Bot Protection Paradox: Accidentally blocking AI00:14:40 - The Speed Requirement: Why 200ms matters00:17:46 - AI Agents Are Struggling Too: Browser agents and their limitations00:20:46 - How to Fix It: 6 things you need to do00:25:33 - Closing: The web is adapting againKey Statistics569 million GPTBot requests on Vercel's network in a single month370 million ClaudeBot requests in the same period305% growth in GPTBot traffic (May 2024 to May 2025)157,000% increase in PerplexityBot requests year-over-year33% of organic search activity now comes from AI agents~40% failure rate for the best AI browser agents on complex tasksThe 6 Things to FixImplement Server-Side Rendering (SSR) - If your site uses a JavaScript framework (React, Vue, Angular) with client-side rendering, switch to SSR or static site generation immediately. Use Next.js, Nuxt, or a pre-rendering service.Add Structured Data with JSON-LD - Expose key information in machine-readable format using schema.org markup. Microsoft confirmed Bing uses this to help Copilot understand content.Optimize for Speed - Target server response time under 200ms. First Contentful Paint under 1 second. Largest Contentful Paint under 2.5 seconds.Check Your Bot Protection Settings - Review Cloudflare, AWS WAF, or your CDN's bot management. Make a deliberate decision about GPTBot, ClaudeBot, and PerplexityBot access.Kill Infinite Scroll and Lazy Loading for Content - Use paginated URLs with standard HTML links. Ensure high-value content is in the initial HTML response.Keep Sitemaps Current - Maintain proper redirects, consistent URL patterns, and fix broken links.Tools MentionedGlimpse - Free tool to test how AI sees your website: glimpse.webperformancetools.comShow LinksSources Referenced in This EpisodeAI Crawler Statistics:Vercel Blog - The Rise of the AI CrawlerCloudflare 2025 Year in ReviewCloudflare - From Googlebot to GPTBotSearch Engine Land - AI Optimization GuideJavaScript Rendering:Prerender.io - Understanding Web CrawlersSearch Engine Journal - Enterprise SEO Trends 2026No Hacks is a podcast about web performance, technical SEO, and the agentic web. Hosted by Slobodan "Sani" Manic.

Jeff Steadman is joined by RSM colleagues Rich Servillas and Charles John to explore the critical intersection of identity access management, operational resilience, and disaster recovery. Rich, a director from the cyber response group, shares insights from the front lines of ransomware and cloud intrusions, while Chuck, director of operational resilience, discusses the importance of business continuity planning. The conversation covers the true impact of security incidents on brand reputation and operations, the necessity of out-of-band communication, and why identity is often the first thing challenged and the last thing trusted during a crisis. The guests also provide practical advice for IAM professionals on reducing blast radius through standing privilege reduction and robust logging.Connect with Rich: https://www.linkedin.com/in/richard-servillas-041a0551/Connect with Chuck: https://www.linkedin.com/in/chuckjohn/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.comTimestamps:00:00:00 - Introduction and 2026 conference outlook00:01:44 - Introducing guests Rich and Chuck from RSM00:03:56 - Defining operational resilience and business continuity00:06:22 - When and how to start the planning process00:09:55 - Chuck's background in public health and emergency management00:12:44 - The broad impact of incidents on brand and operations00:16:45 - Key elements every recovery plan must include00:19:14 - Defining incident severity and matrixes00:21:52 - Identity as the new perimeter and its operational dependencies00:24:57 - Why hackers log in rather than break in00:26:46 - The first hours of a cyber incident response00:29:35 - Current threat trends and the role of AI00:31:29 - Updating plans through post-action debriefs00:34:31 - Cyber insurance gaps and contractual SLAs00:40:24 - Advice for identity professionals on reducing blast radius00:46:10 - Personal milestones and looking forward to 2026Keywords:IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, IAM, Cybersecurity, Business Continuity, Disaster Recovery, Operational Resilience, RSM, Incident Response, Ransomware, Cyber Insurance, Identity Governance

In this episode, Sarah talks about how AI is reshaping the UX landscape and why three key skills are more important than ever for professionals looking to stand out in the evolving job market.Despite the rise of AI tools, it's not about being replaced—it's about evolving your mindset and skills to stay relevant. In this episode, Sarah explains why UX professionals need to stop thinking like "doers" and start thinking like "drivers." You'll also hear why the critical skills of speed, quality thinking, and impact are necessary to stay valuable in your career.This episode is for anyone feeling uncertain about how AI fits into your skillset or wondering how to stay relevant in an AI-powered UX job market.What You'll Learn in This Episode:✔️ Why shifting from being a “doer” to a “driver” is essential for staying valuable in UX✔️ The 3 most important skills for UX professionals in the age of AI: speed, quality thinking, and impact✔️ How to leverage speed without sacrificing quality in your UX work✔️ Why quality thinking (and not relying on AI) is crucial to uncovering nuances and insights✔️ How to make sure your work has true impact—going beyond just delivering information✔️ The danger of de-skilling and how to stay sharp while using AI as a toolTimestamps:00:00 Introduction: The Future of UX Jobs in the Age of AI00:39 Meet Sarah Doody: Your UX Career Guide01:19 The Value of Strategic Thinking Over Task Execution02:05 Three Critical Skills for UX Professionals05:39 Skill 1: Speed with Strategy09:42 Skill 2: Quality Thinking14:52 Skill 3: Impact and Influence19:44 The Risk of De-Skilling in the Age of AI24:50 Conclusion: Be a Driver, Not a Doer25:54 Call to Action: Support the Podcast

Entrepreneur Andrew Wilkinson used to sleep nine hours a night. Now he wakes up at 4 a.m. and goes straight to work—because he can't wait to keep building with Anthropic's latest model, Opus 4.5.Two years ago, Wilkinson was obsessed with vibe coding on AI software development platform Replit. It was thrilling to describe something in plain English and watch an app appear, less thrilling when the apps were always broken in some way, often full of maddening bugs. So he set his app creation ambitions aside until technology caught up with them.Then, a few weeks ago, he started playing with Claude Code and Opus 4.5. It felt, he says, like having a “$100,000-a-month payroll of engineers” working for him around the clock.Wilkinson is the cofounder of Tiny, a company that buys profitable businesses and holds them for the long term. The Tiny portfolio includes the AeroPress coffee maker and Dribbble, a platform where designers can share their work and find jobs. Dan Shipper had him on AI & I to talk about the automations Wilkinson has built for his work and personal life, including an AI relationship counselor, a custom email client, and a system that texts him outfit recommendations each morning. Wilkinson revealed how all of this individual exploration has changed the way he thinks about buying software companies at Tiny.If you found this episode interesting, please like, subscribe, comment, and share!Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperReady to build a site that looks hand-coded—without hiring a developer? Launch your site for free at framer.com, and use code DAN to get your first month of Pro on the house!Timestamps:00:00:00 - Start00:01:07 - Introduction00:02:48 - Why Opus 4.5 feels like the iPhone moment for vibe coding00:08:31 - Why designers have a unique advantage with AI00:14:10 - How Wilkinson built a custom email client with Claude Code00:18:13 - An AI trained on your relationship that predicts your fights00:30:40 - Using AI meeting notes to make your life better00:35:11 - Don't inject your opinion into prompts00:40:21 - Wilkinson's Claude Code tips and workflows00:47:59 - Your personal stylist is a prompt away00:53:17 - How AI is changing the way Wilkinson invests in softwareLinks to resources mentioned in the episode:Andrew Wilkinson: Andrew Wilkinson (@awilkinson)The book Wilkinson references in his prompts, when writing copy with AI: Made to StickEvery's compound engineering plugin: https://github.com/EveryInc/compound-engineering-plugi

This week, Steve sits down with Ankit Jain, co-founder and CEO of Infinitus Systems, to talk about why voice-based AI has become one of the most rapidly adopted tools in healthcare operations, what's actually working in the field, and where the hype still outpaces reality. Ankit shares six years of lessons from building AI agents that handle 35-minute medical calls end to end, plus his predictions on what 2026 and 2027 will really look like as enterprises attempt to build their own agents.We cover:Why so much of healthcare still runs on phones, faxes, and portalsHow AI agents are handling long, high-stakes medical calls without going off trackWhat large enterprises now expect around security, governance, and zero-hallucination requirementsWhy providers, payers, and pharma are adopting AI for different operational workflowsWhy 2026 may be the year many health systems try to build their own agents, and why most will return to vendors by 2027—About our guest: Ankit Jain is the co-founder and CEO of Infinitus Systems, the agentic healthcare communications platform that automates high-stakes clinical and administrative conversations at scale. Under his leadership, Infinitus supports 44% of the Fortune 50, and many of the largest healthcare organizations in the US. A serial entrepreneur, advisor, and investor, Ankit has built companies and guided innovation at the intersection of technology and AI. He founded Quettra (acquired by Similarweb), helped launch Google Play and the search engine Cuil, and went on to co-found and manage Gradient Ventures, Google's AI-focused venture fund. His background in building distributed systems and safety-constrained AI, combined with hands-on experience scaling products in regulated environments, gives him a pragmatic perspective on how to design trustworthy AI that earns adoption in healthcare. Ankit frequently works with industry leaders on governance, education, and integration strategies that make automation safe, approachable, and scalable.—Chapters:00:01:38 Introduction to Ankit Jain and Infinitus Systems00:02:54 The journey into healthcare entrepreneurship00:03:55 Inspiration behind Infinitus and its mission00:04:55 Evolution of AI in healthcare communications00:08:12 Navigating competition in the AI healthcare space00:10:30 Defensibility and product development insights00:14:00 AI's role in enhancing healthcare accessibility00:15:20 Go-to-Market strategies and lessons learned00:17:52 Deepening engagement in healthcare workflows00:19:33 Competitive dynamics in healthcare AI00:20:42 Addressing industry concerns and challenges00:22:14 The need for industry self-regulation00:23:40 Navigating consumer privacy and AI interactions00:25:27 The future of jobs in healthcare AI00:28:30 The evolution of healthcare AI00:29:37 Lessons for entrepreneurs in healthcare—Pre-order Halle's new book, Massively Better Healthcare.—

Słuchasz Karolina Sobańska Podcast. W tym programie rozmawiamy o dobrym świadomym życiu, śledzimy trendy i dyskutujemy o tym co dla nas ważne. Gościem odcinka jest Jowita Michalska / https://www.instagram.com/jowita_digital/Bądź na bieżąco :) www.instagram.com/KarolinaSobanska⁠⁠⁠⁠www.karolinasobanska.com⁠⁠ Współpraca: karolina@pasnormal.group00:00:00 intro00:11:48 zaufanie społeczne do AI00:21:44 największe zagrożenia związane z AI00:29:06 jaka czeka nas przyszłość?00:35:06 obiektywność AI00:40:57 regulacje00:46:47 trendy w innych technologiach00:53:06 robotyzacja01:03:51 bądźmy bardziej świadomi

Preston and Seb unpack AI's implications for safety, governance, and economics. They debate AGI risks, corporate centralization, Bitcoin's regulatory role, and Elon Musk's ventures in space and autonomous tech. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:04:37 – Why AI safety and autonomy are increasingly at odds00:11:30 – How AGI could reshape governance and policy-making00:07:40 – Preston's skepticism about AI self-preservation claims00:15:18 – The unintended consequences of AI regulation00:22:15 – How Bitcoin could hold corporations accountable00:20:10 – The dangers of centralizing economic power via AI00:34:45 – Why generalist thinking matters in a post-pandemic world00:37:20 – The role of curiosity and deep reading in future-proofing00:41:59 – How SpaceX is redefining launch economics with reusable rockets00:57:41 – The hidden potential of Tesla's AI chips and compute power Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Clip 1: AI Expert: We Have 2 Years Before Everything Changes! We Need To Start Protesting! with Tristan Harris. Clip 2: Marc Andreessen explains the future belongs to generalists in the AI era. Clip 3: Elon Musk on the Future of SpaceX & Mars. Official Website: Seb Bunney. Seb's book: The Hidden Cost of Money. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bitcoin Fundamentals Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance Tool⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get smarter about valuing businesses in just a few minutes each week through our newsletter, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our ⁠sponsors⁠: HardBlock Human Rights Foundation Masterworks Linkedin Talent Solutions Simple Mining Plus500 Netsuite Fundrise References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

In this episode, Mews founder Richard Valtr shares a practical look at how AI is reshaping hotel operations, guest experience, and revenue strategy. The conversation focuses on why hoteliers should design the guest journey first, then apply technology to scale it—along with concrete ideas for monetizing beyond rooms and preparing teams for what's coming next in hospitality tech.Resources:Our previous conversation with Richard: Hospitality is 'eating the world' - here's what it means for your business and your careerBehind the Stays podcast: How He Built Mews — And Rewired the Modern Hotel StaySkift podcast: Rewiring Hotel Tech for HumansModern Hotelier podcast: Helping Hoteliers Monetize the Full 24 ExperienceBook a demo with MewsChapters: 00:02:16 What does Mews do?00:03:28 What is a PMS?00:05:42 The 3 assets in a hotel business00:08:01 Monetization opportunities00:14:19 Opportunities without admin work00:15:44 Experiment: Building customer archetypes with AI00:21:49 "Red teaming" to "destroy" the company00:24:38 Agentic hospitality00:25:55 Future: Mesh of AI-assisted work00:27:13 LLMs as middleware00:29:35 Misconceptions00:31:54 The first thing you need to do00:33:30 AI needs the truth00:35:38 Speeding up training content creation00:36:36 Where to start with using AI00:41:36 Advice for finding technology partners00:42:26 What Richard is proud of at Mews nowThis is a special sponsor bonus episode, sponsored by Mews.A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

Tomorrow is the first day of 2026, and to give our listeners a view of the trends that'll shape the year ahead, Dan Shipper had Every COO Brandon Gell on AI & I to discuss their predictions for what's next. They discussed how software will be built, who will build it, and what it will take for truly autonomous AI agents to become a reality.If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Timestamps: 00:00:00 — Start00:01:05 — Introduction00:01:34 — Reflections on Every's growth over the past year00:09:38 — What changes when a company grows from 20 to 50 people00:11:55 — How agent-native architecture will change software in 202600:17:13 — Why designers are slated to become power users of AI00:23:24 — The new kind of software engineer who will direct AI agents00:33:42 — Why the next wave of AI training will focus on autonomy

From investing through the modern data stack era (DBT, Fivetran, and the analytics explosion) to now investing at the frontier of AI infrastructure and applications at Amplify Partners, Sarah Catanzaro has spent years at the intersection of data, compute, and intelligence—watching categories emerge, merge, and occasionally disappoint. We caught up with Sarah live at NeurIPS 2025 to dig into the state of AI startups heading into 2026: why $100M+ seed rounds with no near-term roadmap are now the norm (and why that terrifies her), what the DBT-Fivetran merger really signals about the modern data stack (spoiler: it's not dead, just ready for IPO), how frontier labs are using DBT and Fivetran to manage training data and agent analytics at scale, why data catalogs failed as standalone products but might succeed as metadata services for agents, the consumerization of AI and why personalization (memory, continual learning, K-factor) is the 2026 unlock for retention and growth, why she thinks RL environments are a fad and real-world logs beat synthetic clones every time, and her thesis for the most exciting AI startups: companies that marry hard research problems (RAG, rule-following, continual learning) with killer applications that were simply impossible before.We discuss:* The DBT-Fivetran merger: not the death of the modern data stack, but a path to IPO scale (targeting $600M+ combined revenue) and a signal that both companies were already winning their categories* How frontier labs use data infrastructure: DBT and Fivetran for training data curation, agent analytics, and managing increasingly complex interactions—plus the rise of transactional databases (RocksDB) and efficient data loading (Vortex) for GPU-bound workloads* Why data catalogs failed: built for humans when they should have been built for machines, focused on discoverability when the real opportunity was governance, and ultimately subsumed as features inside Snowflake, DBT, and Fivetran* The $100M+ seed phenomenon: raising massive rounds at billion-dollar valuations with no 6-month roadmap, seven-day decision windows, and founders optimizing for signal (”we're a unicorn”) over partnership or dilution discipline* Why world models are overhyped but underspecified: three competing definitions, unclear generalization across use cases (video games ≠ robotics ≠ autonomous driving), and a research problem masquerading as a product category* The 2026 theme: consumerization of AI via personalization—memory management, continual learning, and solving retention/churn by making products learn skills, preferences, and adapt as the world changes (not just storing facts in cursor rules)* Why RL environments are a fad: labs are paying 7–8 figures for synthetic clones when real-world logs, traces, and user activity (à la Cursor) are richer, cheaper, and more generalizable* Sarah's investment thesis: research-driven applications that solve hard technical problems (RAG for Harvey, rule-following for Sierra, continual learning for the next killer app) and unlock experiences that were impossible before* Infrastructure bets: memory, continual learning, stateful inference, and the systems challenges of loading/unloading personalized weights at scale* Why K-factor and growth fundamentals matter again: AI felt magical in 2023–2024, but as the magic fades, retention and virality are back—and most AI founders have never heard of K-factor—Sarah Catanzaro* X: https://x.com/sarahcat21* Amplify Partners: https://amplifypartners.com/Where to find Latent Space* X: https://x.com/latentspacepodFull Video EpisodeTimestamps00:00:00 Introduction: Sarah Catanzaro's Journey from Data to AI00:01:02 The DBT-Fivetran Merger: Not the End of the Modern Data Stack00:05:26 Data Catalogs and What Went Wrong00:08:16 Data Infrastructure at AI Labs: Surprising Insights00:10:13 The Crazy Funding Environment of 2024-202500:17:18 World Models: Hype, Confusion, and Market Potential00:18:59 Memory Management and Continual Learning: The Next Frontier00:23:27 Agent Environments: Just a Fad?00:25:48 The Perfect AI Startup: Research Meets Application00:28:02 Closing Thoughts and Where to Find Sarah Get full access to Latent.Space at www.latent.space/subscribe

Learn how to use philosophy to run your business more effectively. Reid Hoffman thinks a masters in philosophy will help you run your business better than an MBA. Reid is a founder, investor, podcaster, and author. But before he did any of these things, he studied philosophy—and it changed the way he thinks. Studying philosophy trains you to think deeply about truth, human nature, and the meaning of life. It helps you see the big picture and reason through complex problems—invaluable skills for founders grappling with existential questions about their business.I usually bring guests onto my podcast to discuss the actionable ways in which people have incorporated ChatGPT into their lives. But this episode is different. I sat down with Reid to tackle a deeper question: How is AI changing what it means to be human? It was honestly one of the most meaningful shows I've recorded yet. We dive into:- How philosophy prepares you to be a better founder- The importance of interdisciplinary thinking- Essentialism v. nominalism in the context of AI- How language models are evolving to be more “essentialist”- The co-evolution of humans and technology Reid also shares actionable uses of ChatGPT for people who want to think more clearly, like:- Input your argument and ask ChatGPT for alternative perspectives- Generate custom explanations of complex ideas- Leverage ChatGPT as an on-demand research assistantThis episode is a must-watch for anyone curious about some of the bigger questions prompted by the rapid development of AI.If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at framer.com, and use code DAN to get your first month of Pro on the house!Timestamps:00:00:00 - START 00:04:35 - Why philosophy will make you a better founder00:08:22 - The fundamental problem with “trolley problems”00:14:27 - How AI is changing the essentialism v. nominalism debate00:29:33 - Why embeddings align with nominalism00:34:26 - How LLMs are being trained to reason better00:44:52 - How technology changes the way we see ourselves and the world around us00:46:24 - Why most psychology literature is wrong00:52:46 - Why philosophers didn't come up with AI00:56:30 - How to use ChatGPT to be more philosophically inclinedLinks to resources mentioned in the episode:Reid Hoffman: https://twitter.com/reidhoffmanThe podcasts that Reid hosts: Possible (possible.fm) and Masters of Scale (https://mastersofscale.com/)Reid's book: Impromptu https://www.impromptubook.com/The book Reid recommends if you want to be more philosophically inclined: Gödel, Escher, Bach https://www.amazon.com/G%C3%B6del-Escher-Bach-Eternal-Golden/dp/0465026567Reid's article in the Atlantic: "Technology Makes Us More Human" https://www.theatlantic.com/ideas/archive/2023/01/chatgpt-ai-technology-techo-humanism-reid-hoffman/672872/The book about why psychology literature is wrong: The WEIRDest People in the World by Joseph Henrich https://www.amazon.com/WEIRDest-People-World-Psychologically-Particularly/dp/0374173222The book about how culture is driving human evolution: The Secrets of Our Success by Joseph Henrich https://press.princeton.edu/books/paperback/9780691178431/the-secret-of-our-success

Nominate for the Nerd Nest Awards https://forms.gle/hnEWtPAxMcCTE9Dp9Subscribe to the panel @RetroGameCorps @FanTheDeck

Glean started as a Kleiner Perkins incubation and is now a $7B, $200m ARR Enterprise AI leader. Now KP has tapped its own podcaster to lead it's next big swing.From building go-to-market the hard way in startups (and scaling Palo Alto Networks' public cloud business) to joining Kleiner Perkins to help technical founders turn product edge into repeatable revenue, Joubin Mirzadegan has spent the last decade obsessing over one thing: distribution and how ideas actually spread, sell, and compound. That obsession took him from launching the CRO-only podcast Grit (https://www.youtube.com/playlist?list=PLRiWZFltuYPF8A6UGm74K2q29UwU-Kk9k) as a hiring wedge, to working alongside breakout companies like Glean and Windsurf, to now incubating Roadrunner which is an AI-native rethink of CPQ and quoting workflows as pricing models collapse from “seats” into consumption, bundles, renewals, and SKU sprawl.We sat down with Joubin to dig into the real mechanics of making conversations feel human (rolling early, never sending questions, temperature + lighting hacks), what Windsurf got right about “Google-class product and Salesforce-class distribution,” how to hire early sales leaders without getting fooled by shiny logos, why CPQ is quietly breaking the back of modern revenue teams, and his thesis for his new company and KP incubation Roadrunner (https://www.roadrunner.ai/): rebuild the data model from the ground up, co-develop with the hairiest design partners, and eventually use LLMs to recommend deal structures the way the best reps do without the Slack-channel chaos of deal desk.We discuss:* How to make guests instantly comfortable: rolling early, no “are you ready?”, temperature, lighting, and room dynamics* Why Joubin refuses to send questions in advance (and when you might have to anyway)* The origin of the CRO-only podcast: using media as a hiring wedge and relationship engine* The “commit to 100 episodes” mindset: why most shows die before they find their voice* Founder vs exec interviews: why CEOs can speak more freely (and what it unlocks in conversation)* What Glean taught him about enterprise AI: permissions, trust, and overcoming “category is dead” skepticism* Design partners as the real unlock: why early believers matter and how co-development actually works* Windsurf's breakout: what it means to be serious about “Google-class product + Salesforce-class distribution”* Why technical founders struggle with GTM and how KP built a team around sales, customer access, and demand gen* Hiring early sales leaders: anti-patterns (logos), what to screen for (motivation), and why stage-fit is everything* The CPQ problem & Roadrunner's thesis: rebuilding CPQ/quoting from the data model up for modern complexity* How “rules + SKUs + approvals” create a brittle graph and what it takes to model it without tipping over* The two-year window: incumbents rebuilding slowly vs startups out-sprinting with AI-native architecture* Where AI actually helps: quote generation, policy enforcement, approval routing, and deal recommendation loops—Joubin* X: https://x.com/Joubinmir* LinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/Where to find Latent Space* X: https://x.com/latentspacepodFull Video EpisodeTimestamps00:00:00 Introduction and the Zuck Interview Experience00:03:26 The Genesis of the Grit Podcast: Hiring CROs Through Content00:13:20 Podcast Philosophy: Creating Authentic Conversations00:15:44 Working with Arvind at Glean: The Enterprise Search Breakthrough00:26:20 Windsurf's Sales Machine: Google-Class Product Meets Salesforce-Class Distribution00:30:28 Hiring Sales Leaders: Anti-Patterns and First Principles00:39:02 The CPQ Problem: Why Salesforce and Legacy Tools Are Breaking00:43:40 Introducing Roadrunner: Solving Enterprise Pricing with AI00:49:19 Building Roadrunner: Team, Design Partners, and Data Model Challenges00:59:35 High Performance Philosophy: Working Out Every Day and Reducing Friction01:06:28 Defining Grit: Passion Plus Perseverance Get full access to Latent.Space at www.latent.space/subscribe

בפרק זה של הפודקאסט "על המשמעות" עו"ד תמיר דורטל מארח את הרב מני אבן ישראל, מנכ"ל מרכז שטיינזלץ ורב בית הכנסת ׳צמח צדק׳ בעיר העתיקה, לשיחה על טראומת השבעה באוקטובר בראי ההיסטוריה וההלכה.הרב מתאר את תחושת הפגיעה האישית והלאומית, וטוען שההלם נובע מאופוריה ישראלית קודמת ומהתחושה ש"פרצו לנו לבית". הוא משווה לאירועים היסטוריים כמו מסעי הצלב, שבהם פגיעות מצומצמות יצרו טראומות אדירות.הדיון עוסק גם בחטופים ובשאלה האם מדינה יהודית יכולה להעדיף את טובת הכלל על פני היחיד. אבן ישראל מתאר את הפער מול תפיסות צבאיות בינלאומיות, אך מדגיש שהמדינה התחייבה לחטופים כבר בתחילת הדרך.מעבר לכך נידונות סוגיות הלכתיות עכשוויות: תקפות המושג "תינוק שנשבה" בעידן לימוד דיגיטלי, אתגרי הטכנולוגיה מהלכות שבת ועד שתלים ביומטריים, והקושי של מערכת הרבנות להתמודד עם קצב ההתפתחויות.לסיום הוא מציע מבט אופטימי על הצורך בחינוך מחדש ועל יכולת היהדות להכיל מגוון דעות.00:00:00 הלם השביעי באוקטובר ושבירת הקונספציה00:04:19 פרספקטיבה היסטורית: ממסעי הצלב ועד היום00:09:12 כישלון המודיעין ודעת הקהל הישראלית00:11:42 זיכרון וטראומה: האם נזכור את האירועים בעתיד?00:18:00 סוגיית החטופים: מוסר יהודי מול ראייה מערבית00:22:11 מנהגי קבורה, קידוש הגוף והשפעת השואה00:30:52 ריבונות מול השפעה אמריקאית במלחמה00:33:38 ועידת הוותיקן ה-2 והשינוי באנטישמיות הנוצרית00:41:41 "תינוק שנשבה" בעידן האינטרנט וה-AI00:51:02 אתגרי ההלכה בעולם של בית חכם וטכנולוגיה01:03:00 האם ניתן לחנך את האסלאם לשלום?01:13:00 מורשת הרב שטיינזלץ: לימוד עצמאי וניהול זמן#פודקאסט #על_המשמעות Support the showתוכנית המנויים "על המשמעות פלוס" ➕: https://bit.ly/MashmaPlus גישה מוקדמת לפרקים

Ready to stop wearing all the hats in your solo business?In 2026, AI integration will be as common as using your smartphone.But if you're a solo business owner who feels behind or overwhelmed by all the new tools, you're not alone.In this episode, I break down how to use AI and why strategy, simplicity, and your authentic voice are the keys to growth in the next wave of online business.What You'll Discover in This EpisodeMy top 3 predictions for 2026 and how they affect solo entrepreneursThe 3 leadership skills that will set you apart in the age of AIWhy content marketing is about to explode, and how to stand out with heart and originality, not just more content.Why your story and perspective are still your biggest business assetsActionable steps for simplifying your offers, building a strong brand voice, and using AI effectively. Key TakeawaysAI isn't a magic fix; it mirrors what you give it. Your clarity and communication matter more than ever.Delegation is now about asking: Should I be doing this, or can AI?Imagination is your competitive edge. Margin gives you the space to innovate.Your brand message and personality are your biggest differentiators in a crowded, AI-generated world.Keep your business focused: one offer, one audience, one problem, one transformation.Join AI Lab for SolopreneursReady to learn how to work smarter with AI and amplify your personal authority?Find out more at https://marisashadrick.com/communityAudio Timestamps:00:00:00 – Intro and why AI content is starting to blur00:01:20 – AI adoption trends and predictions for 202600:03:20 – Strategic use of custom GPTs and tools00:04:50 – Why prompting skills are your new superpower00:05:57 – The explosion of content: blogs, books, and newsletters00:08:02 – 3 leadership skills solopreneurs need for the future00:09:35 – How to simplify your offer, lead magnet, and audience00:12:05 – Rethinking delegation with AI as your assistant00:14:15 – Why imagination is your next best strategy00:16:28 – Protecting your voice and brand in the age of AI00:18:47 – Closing and community invitationSkip Hours of Prompt Trial & Error with ChatGPTWhether you're writing, planning, analyzing, or brainstorming, my C.O.N.T.E.X.T. ™ method transforms ChatGPT into a consistent marketing assistant. No steep learning curve.Free Download!https://marisashadrick.com/prompts If you're ready to grow with effective marketing that actually feels manageable, here's your next move.Inside AI Lab for Solopreneurs, get Custom GPTs, templates, and coaching to grow your business. Visit: https://marisashadrick.com/communityListen to the "Amplify Your Authority" Podcast! Click Here! Rate & Review: If you enjoyed this episode, please take a moment to leave a 5-star rating and review on Apple Podcasts. Tip: Answer these questions inside of ChatGPT (free or paid) and have AI craft your review! How did you discover this podcast? What's your biggest takeaway from this episode? How has this podcast helped your current journey? Thanks so much for taking a few minutes to craft a review!

Traditional software engineering job listings have dropped by 70%, yet Forward Deployed Engineer (FDE) roles have exploded by over 800% this year. We sit down with Mo Fagir, Principal Technical Consultant at ServiceNow, to break down exactly why this shift is happening and how you can pivot your career to ride this AI adoption wave.In this episode, we cover:The massive market shift: Why "pure coding" jobs are declining while FDEs are booming.The exact technical stack and soft skills required to land these high-paying roles.How to overcome imposter syndrome and build a portfolio that gets you hired, even as a junior.Why this isn't just a trend, but the future of how engineering delivers value.Connect with Mo Fagir:https://www.linkedin.com/in/mo-nour-tarigTimestamps:00:00:00 - Intro00:01:14 - Why software jobs dropped 70% while FDEs grew over 800%00:02:55 - Why companies can't implement AI without Forward Deployed Engineers00:05:36 - Is this career path safe for traditional software engineers?00:07:54 - The exact technical stack you need to master today00:10:48 - Moving from engineering scope to product centric thinking00:16:15 - Can juniors and early career devs get hired as FDEs?00:19:12 - How to build a portfolio that gets you hired00:22:17 - Why passion and attitude beat experience in the AI era00:24:33 - How to train yourself to have a sense of urgency00:29:05 - Can introverts succeed in client facing engineering roles?00:32:17 - Lessons learned from interning at NASA and researching AI00:35:09 - Are we in an AI bubble that will burst soon?00:40:34 - Does becoming an FDE risk vendor lock-in for your career?00:43:36 - Final advice for engineers entering the 2025 job market#ForwardDeployedEngineer #FDE #SoftwareCareers

Mostly Growth on YouTube: https://www.youtube.com/@MostlyGrowthMostly Growth on Apple: https://podcasts.apple.com/us/podcast/mostly-growth/id1842238102Mostly Growth on Spotify: https://open.spotify.com/show/3KDtaLaXx1obFp5PUhZ6V3In this episode of Mostly Growth, CJ Gustafson and Kyle Poyar bounce between sharp SaaS insights and delightfully weird internet culture. They start with an unexpected dive into competitive bird-watching apps, then break down recent software mergers like Superhuman + Grammarly + Coda and what they signal about scaling, cross-sell strategy, and private equity mechanics. CJ and Kyle explore why PE portfolios are becoming powerful distribution channels for AI solutions, how niche data “signals” are outpacing generic ones in sales, and share hedge-fund-style tactics for uncovering proprietary business information. The conversation rounds out with “business blunders” — from Y-axis chart crimes to clickbait headlines — and a lively discussion on Spotify's pricing power and how companies should (and absolutely should not) communicate price increases.—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/mostlymetricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.com—LINKS:Mostly Metrics: https://www.mostlymetrics.comCJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Growth Unhinged: https://www.growthunhinged.com/Kyle on LinkedIn: https://www.linkedin.com/in/kyle-poyar/Slacker Stuff: https://www.slackerstuff.com/Ben on LinkedIn: https://www.linkedin.com/in/slackerstuff/—RELATED EPISODES:The Layer-Cake Playbook for Vertical SaaS Growth | with Roland Ligtenberghttps://youtu.be/yPxWvhPISKo—TIMESTAMPS:00:00:00 Preview and Intro00:01:43 Sponsors – Pulley and Metronome00:04:05 Birding, Big Year & AI Bird Apps00:06:42 Software M&A Trends in SaaS00:08:57 Superhuman–Grammarly–Coda Reverse Merger00:10:34 How Larger Valuations Attract a New Investor Class00:11:55 Streaming Wars & Platform Consolidation00:13:20 Private Equity as a Distribution Channel for AI00:14:48 How PE Firms Drive Multi-Company Expansion00:15:56 AI for Efficiency: The PE CFO Playbook00:17:44 When AI ROI Really Matters in PE00:19:23 Signal-Based Selling: High-Intent Buyer Detection00:21:15 Signal Fatigue & the Hunt for Better Data00:22:50 Why Proprietary Signals Win00:24:05 Creative (and Creepy) Data Tactics00:26:09 Pinterest vs. Google: Aspirational vs. Actual Behavior00:27:17 Blurring Work & Personal Signals in AI Tools00:27:46 The Michael Jordan of Y-Axis Crimes00:30:33 Notion Agents Billboard: “Let Them Cook”00:32:31 Pricing in the Real World: Spotify00:34:60 → 00:35:00 How to Communicate a Price Increase00:35:40 Closing Credits#MostlyGrowthPodcast #PricingStrategy #AIGrowth #GoToMarket #PrivateEquity This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

CoreWeave CFO Nitin Agrawal joins Run the Numbers to unpack the finance engine behind one of the fastest-growing AI infrastructure companies on the planet. CJ and Nitin dive into what it takes to build financial discipline in an environment where business models are being invented in real time, discussing the company's 700% growth last year and massive first-quarter performance as a newly public company. They cover capex strategy, securitizing GPUs, managing billion-dollar revenue backlogs, and structuring incentives for hyperscale deals, all while keeping investors grounded and servers running at full tilt. If you want a front-row seat to finance in the AI arms race, this episode delivers.—SPONSORS:Tipalti automates the entire payables process—from onboarding suppliers to executing global payouts—helping finance teams save time, eliminate costly errors, and scale confidently across 200+ countries and 120 currencies. More than 5,000 businesses already trust Tipalti to manage payments with built-in security and tax compliance. Visit https://www.tipalti.com/runthenumbers to learn more.Aleph 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/runFidelity Private Shares is the all-in-one equity management platform that keeps your cap table clean, your data room organized, and your equity story clear—so you never risk losing a fundraising round over messy records. Schedule a demo at https://www.fidelityprivateshares.com and mention Mostly Metrics to get 20% off.Sage Intacct is the cloud financial management platform that replaces spreadsheets, eliminates manual work, and keeps your books audit-ready—so you can scale without slowing down. It combines accounting, ERP, and real-time reporting for retail, financial services, logistics, tech, professional services, and more. Sage Intacct delivers fast ROI, with payback in under six months and up to 250% return. Rated #1 in customer satisfaction for eight straight years. Visit Sage Intacct and take control of your growth: https://bit.ly/3Kn4YHtMercury is business banking built for builders, giving founders and finance pros a financial stack that actually works together. From sending wires to tracking balances and approving payments, Mercury makes it simple to scale without friction. Join the 200,000+ entrepreneurs who trust Mercury and apply online in minutes at https://www.mercury.comRightRev 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.—LINKS:Nitin on LinkedIn: https://www.linkedin.com/in/nitin-agrawal-cloudcfo/Company: https://www.coreweave.com/CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:The Art and Science of a Day-One IPO Pop with OneStream Software CFO Bill Koefoedhttps://youtu.be/kYCn7XNkCBcFrom Facebook's Hypergrowth to Daffy's Disruption: A CFO's Playbook for Saying Yeshttps://youtu.be/bRIZ6oNPGD0—TIMESTAMPS:00:00:00 Preview and Intro00:02:54 Sponsors – Tipalti | Aleph | Fidelity Private Shares00:06:12 Interview Begins: Scaling CoreWeave00:06:52 CoreWeave's Pivot From Crypto to AI00:11:41 Why CoreWeave Is Uniquely Positioned to Lead AI Infrastructure00:13:32 Hiring for Both Scrappiness and Scale00:16:01 Post-IPO Whirlwind: Acquisitions, Debt Raises, and 10-Year Deals00:16:43 Sponsors – Sage Intacct | Mercury | RightRev00:20:13 Managing Investor Expectations With Radical Transparency00:22:39 Doubling Active Power in Six Months00:25:19 Risk-Balanced Capital Deployment: Power First, GPUs Second00:27:12 Financing GPUs With Delayed-Draw Facilities00:29:38 CoreWeave Rated Platinum for GPU Cluster Performance00:32:25 Compute as the Bottleneck for AI Growth00:33:47 Explaining Revenue Backlog Shape & Timing00:35:06 The Strength of Reserved Instance Contracts00:36:07 Giving Tight but Honest Guidance00:40:26 How Mega-Deals Require C-Suite Participation00:42:19 Tackling Revenue Concentration Through Diversification00:44:05 Building an AI-Only Cloud, Not a General-Purpose Cloud00:46:27 Capital Markets Muscle: Raising Billions at Speed00:47:47 Accounting Complexity in a Business With No Precedent00:49:33 Even the CFO Must Unlearn Old Cloud Assumptions00:51:29 Scaling Public-Company Processes in 90-Day Cycles00:54:42 The Couch Fire vs. House Fire Framework00:57:17 Balancing Risk Mitigation With Opportunity Seeking01:00:30 No Downtime for ERP Changes During Hypergrowth01:02:33 Why the Team Stays Energized Despite the Chaos#RunTheNumbersPodcast #CFOInsights #Hypergrowth #AIInfrastructure #FinanceStrategy This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

Send us a textIn this episode, Joe sits down with Vishnu Varma to explore the evolving landscape of cybersecurity and data management. Vishnu shares his journey from India to the US, detailing his experiences at Cisco and the rise of cloud security. They delve into the challenges of managing vast amounts of data in the age of AI, discussing how BonFi AI is innovating in data security. Tune in to learn about the importance of context in data protection and the future of cybersecurity in a rapidly changing digital world.00:00:19 Introduction to Vishnu's Journey00:00:30 Entering the US and Cisco00:02:18 Cloud Security and AI00:02:48 Data Governance and Challenges00:08:47 The Expansiveness of Cloud00:11:00 AI's Appetite for Data00:12:11 Data Security in the JNI Era00:14:29 The Importance of Context00:16:13 Data Used by Enterprises00:22:24 Conclusion and Future Trendshttps://www.bonfy.ai/Bonfy.aiBonfy ACS is a next-gen DLP platform built for the AI era. Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast Affiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

SummaryIn this conversation, Troy Cross discusses the transformative experience of parenthood and its impact on personal values and perspectives. He draws parallels between this experience and the skepticism surrounding disruptive technologies like Bitcoin. Cross emphasizes the importance of overcoming fear and negativity associated with new technologies, advocating for a more imaginative and open-minded approach to their potential. He concludes by highlighting the need for a shift in how we perceive technology's role in our lives, urging listeners to think critically and creatively about the future.TakeawaysParenthood transforms values and perspectives significantly.Skepticism towards new technologies is often rooted in fear.Bitcoin represents a shift in how we view money.Critics of technology often fail to imagine its potential benefits.Fear of technology can stem from cognitive biases and social influences.Not all technology will bring happiness or fulfillment.Abundant energy can drastically improve quality of life.We must think like engineers, not just socially.Expectations of technology should be realistic and grounded.Imagination is key to embracing the future of technology.Chapters00:00 Imagining a New Future with Bitcoin and AI00:22 Tennessee as a Hub for Innovation03:05 The Politicization of Bitcoin and Technology's Role in Society10:31 bp soundbite.mp4Keywordsparenthood, disruptive technology, Bitcoin, skepticism, fear of technology, transformative experiences, future of technology, imagination, social bias, energy poverty

How can AI and innovation transform not just the business side of sports, but create truly human-centered fan experiences? In this episode, Christa Stout, the Chief Strategy and Innovation Officer for the Portland Trailblazers, talks with Kate O’Neill about building people-first strategies in professional sports, using AI to impact real human experiences, and lessons in innovation from around the world. Topics covered: The evolving role of Chief Strategy and Innovation Officer in sports Balancing business value with fan, community, and employee impact Approaches to meaningful innovation and international development lessons Building and implementing AI strategy in a sports organization Change management and centering real people in organizational change How generative AI unlocks human potential and personalizes fan engagement Organizational metrics for innovation, inclusion, and impact Upskilling employees and culture change for AI adoption Creating frictionless, joyful fan experiences with technology Connect with Christa StoutPortland Trailblazers WebsiteLinkedIn Episode Chapters00:00:05 – Introduction to the Tech Humanist Show & Guest Overview00:01:33 – The Scope of Strategic and Innovation Leadership in Pro Sports00:02:58 – The Rise of Strategy Roles & Future-Focused Planning00:05:42 – What Makes an Innovative Sports Team?00:07:23 – Lessons in Innovation from International Experience00:09:16 – Change Management: Combining Theory and Impact00:14:54 – Embedding AI Strategy: From Curiosity to Company-Wide Change00:19:15 – Real-World Results: AI's Impact on Employee and Fan Experiences00:22:38 – Humanizing AI: Where Tech Enables Personal Touch00:26:18 – Redefining “Value” in Sports Organizations00:29:38 – Evolving Metrics and Exponential Possibilities with AI00:32:42 – Building Employee Buy-In and Upskilling for AI Adoption00:35:01 – Tools & Anticipated Changes for the Future of Sports Innovation00:37:25 – What True Innovation Could Mean for the Sports Experience00:39:46 – Closing Thoughts, Where to Connect, and Outro

Henrik Werdelin wants to launch a million businesses that each make $1M—and he's doing it with AI.After helping launch Barkbox and Ro Health through his incubator Prehype, Henrik is distilling everything he knows into Audos, a platform that helps you use AI agents to turn your idea into a profitable, lasting company.We had him on AI & I to talk about “portfolio entrepreneurship”—a new breed of entrepreneurship shepherded in by AI, where founders build families of products around the same customer, instead of one moonshot idea. It's a philosophy we hold close to our hearts at Every.If you found this episode interesting, please like, subscribe, comment, and share!Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperHead to ai.studio/build to create your first app.Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at https://www.framer.com/*, and use code DAN to get your first month of Pro on the house!*Pitch is the AI presentation platform that helps professionals collaborate on, create, and deliver winning slide decks — all while staying on brand: https://pitch.com/use-cases/ai-presentation-maker/?utm_medium=paid-influencer&utm_campaign=every !Timestamps:00:01:33 - Introduction00:02:50 - Dan and Henrik on the new breed of entrepreneurship that AI makes possible00:11:08 - Why Henrik believes the future belongs to a million $1M companies00:16:14 - How to build “relationship capital” with your customers00:21:35 - Why “customer-founder fit” shapes lasting companies00:23:01 - Everything Henrik learned about himself from a decade of building companies00:31:44 - How Henrik finds focus and meaning in the daily chaos00:34:17 - How Henrik is parenting two kids in the age of AI00:50:33 - The way AI can fix what social media broke00:56:59 - What happens when AI agents become part of how we tell storiesLinks to resources mentioned in the episode:Henrik Werdelin: Henrik WerdelinTry Audos: AudosHenrik's new book: Me, My Customer, and AI

Jed Borovik, Product Lead at Google Labs, joins Latent Space to unpack how Google is building the future of AI-powered software development with Jules. From his journey discovering GenAI through Stable Diffusion to leading one of the most ambitious coding agent projects in tech, Borovik shares behind-the-scenes insights into how Google Labs operates at the intersection of DeepMind's model development and product innovation.We explore Jules' approach to autonomous coding agents and why they run on their own infrastructure, how Google simplified their agent scaffolding as models improved, and why embeddings-based RAG is giving way to attention-based search. Borovik reveals how developers are using Jules for hours or even days at a time, the challenges of managing context windows that push 2 million tokens, and why coding agents represent both the most important AI application and the clearest path to AGI.This conversation reveals Google's positioning in the coding agent race, the evolution from internal tools to public products, and what founders, developers, and AI engineers should understand about building for a future where AI becomes the new brush for software engineering.Full Video EpisodeTimestamps00:00:00 Introduction and GitHub Universe Recap00:00:57 New York Tech Scene and East Coast Hackathons00:02:19 From Google Search to AI Coding: Jed's Journey00:04:19 Google Labs Mission and DeepMind Collaboration00:06:41 Jules: Autonomous Coding Agents Explained00:09:39 The Evolution of Agent Scaffolding and Model Quality00:11:30 RAG vs Attention: The Shift in Code Understanding00:13:49 Jules' Journey from Preview to Production00:15:05 AI Engineer Summit: Community Building and Networking00:25:06 Context Management in Long-Running Agents00:29:02 The Future of Software Engineering with AI00:36:26 Beyond Vibe Coding: Spec Development and Verification00:40:20 Multimodal Input and Computer Use for Coding Agents Get full access to Latent.Space at www.latent.space/subscribe

In this episode of Run the Numbers, CJ Gustafson sits down with Sam Jacobs, Founder and CEO of Pavilion, the global community for GTM leaders. Sam shares how getting fired multiple times as a CRO led him to build a business rooted in belonging — one that monetized members first, prioritized intimacy over growth, and turned a Slack group into a multimillion-dollar company. He and CJ unpack the mechanics of community: the tradeoffs between exclusivity and expansion, why venture capital doesn't always fit human-centered businesses, and how Pavilion balances pricing, curation, and access. They also explore the evolution of the GTM function — from the myth of the plug-and-play VP of Sales to how AI is reshaping RevOps, forecasting, and leadership. Finally, Sam reflects on building durable value beyond personal brand and what it really takes to scale trust as a product.—LINKS:Sam Jacobs on LinkedIn: https://www.linkedin.com/in/samfjacobs/Company: https://www.joinpavilion.com/CJ on X (@cjgustafson222): https://x.com/cjgustafson222Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:E120: What does the future of tech look like when it costs $0 to switch software?https://www.youtube.com/live/Cpw2pkq-FXI?si=-0y0tcLTIlIbkmyOCFOs: Want to Outmaneuver Your Competitors? Here's the Jedi Mind Trickhttps://youtu.be/Yte_fe1xF90?si=hVfgdd0Fg0PQuuoSThe Gross Margin Episode with Sarah Wang of a16zhttps://youtu.be/72aP5ohBxvE—TIMESTAMPS:00:00:00 Preview and Intro00:03:05 Sponsors – Mercury, RightRev, and Tipalti00:06:50 Pavilion, Community, and Go-to-Market Leadership00:10:28 Career Tenure and Executive Turnover00:12:55 Compensation Structure and Equity Negotiation00:14:31 Building Wealth Through Equity00:16:30 Sponsors – Aleph, Fidelity Private Shares, and Metronome00:19:36 Managing Wealth, Lifestyle, and Longevity in Leadership00:22:58 Founding Pavilion to Empower Operators00:25:13 Taking Roles for Learning, Titles, and Leverage00:28:47 Contrarian Executives, Team Dynamics, and Leadership Lessons00:30:36 What Makes a Great VP of Sales00:33:23 Revenue, Profitability, and Misaligned Incentives00:35:08 Quota Setting, Forecasting, and Spreadsheet Pitfalls00:39:07 AI in Sales and the Myth of the AI SDR00:40:32 The Future of Playbooks in the Age of AI00:43:38 The Dangers of AI and the Need for Humans in the Loop00:45:27 Monetizing Pavilion – Memberships, Sponsors, and Pricing Strategy00:49:30 Building Higher-Margin Community Businesses00:57:46 Building a Personal Brand with Long-Term Value01:01:52 Closing Credits and Outro—SPONSORS:Mercury is business banking built for builders, giving founders and finance pros a financial stack that actually works together. From sending wires to tracking balances and approving payments, Mercury makes it simple to scale without friction. Join the 200,000+ entrepreneurs who trust Mercury and apply online in minutes at https://www.mercury.comRightRev 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.Tipalti automates the entire payables process—from onboarding suppliers to executing global payouts—helping finance teams save time, eliminate costly errors, and scale confidently across 200+ countries and 120 currencies. More than 5,000 businesses already trust Tipalti to manage payments with built-in security and tax compliance. Visit https://www.tipalti.com/runthenumbers to learn more.Aleph 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/runFidelity Private Shares is the all-in-one equity management platform that keeps your cap table clean, your data room organized, and your equity story clear—so you never risk losing a fundraising round over messy records. Schedule a demo at https://www.fidelityprivateshares.com and mention Mostly Metrics to get 20% off.Metronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.com#RunTheNumbersPodcast #Finance #CommunityBuilding #Leadership #GoToMarket This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

My Fintech Newsletter for more interviews and the latest insights:↪︎ https://rexsalisbury.substack.com/In this episode, Anthropic's Nicholas Lin explains how vertical AI agents are reshaping financial services, from building real-time investment models to automating data analysis for some of the world's largest funds. We explore why finance was chosen as Anthropic's first enterprise vertical, the challenges and benchmarks in deploying safe, reliable AI, and how large organizations are integrating these tools across research and operations. Nicholas Lin also shares insights on the next era of AI adoption, collaboration with global partners, and the future role of financial analysts in an agent-powered economy.Nicholas Lin.: https://www.linkedin.com/in/cxl/00:00:00 - Anthropic demos real-time AI financial analyst00:00:39 - Claude's rollout to global enterprise clients00:01:27 - Why verticalize AI models for finance00:02:36 - AI as a solution for complex industry problems00:03:46 - Tackling regulated logic and audit trails00:05:07 - Building “retrieve, analyze, create” agents00:07:11 - Outperforming on industry research benchmarks00:09:13 - Integrating AI with customer feedback loops00:10:14 - Why AI-enabled spreadsheets matter00:13:03 - Partnering with sovereign wealth funds00:15:10 - Data integration and readiness for AI00:17:13 - Changing workflows with live artifacts00:20:04 - Customizing tools for technical teams00:23:19 - Driving product development with design partners00:25:12 - Future of “full-stack” autonomous agents00:27:33 - Solving adoption and change management00:29:01 - Enterprise-wide AI from consulting to accounting00:30:53 - Most bankers still lack AI access00:32:40 - Social impact of automating analyst work00:34:31 - Favorite AI and finance tools00:36:43 - The next wave of AI advances at Anthropic___Rex Salisbury LinkedIn:↪︎ https://www.linkedin.com/in/rexsalisburyTwitter: https://twitter.com/rexsalisburyTikTok: https://www.tiktok.com/@rex.salisburyInstagram: https://www.instagram.com/rexsalisbury/

37signals makes tens of millions in profit every year but Jason Fried isn't all that interested in running a business.Instead, he cares most about making great products—like Basecamp, HEY, and Ruby on Rails—products that are centered around a single, coherent idea. These products are complete wholes, where each piece matters—like a Frank Lloyd Wright house or a vintage car.But how do you create products like that?In this conversation, we talk to Jason about what two decades of building 37signals has been like—and how to build products that have soul.If you found this episode interesting, please like, subscribe, comment, and share!Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperListen to Working Smarter wherever you get your podcasts, or visit workingsmarter.aiTimestamps:00:00:00 - Start00:00:32 - Introduction00:02:06 - What architecture, watches, and cars teach us about software00:10:54 - How Jason thinks AI plays into product-building00:20:58 - How developers at 37signals use AI00:25:47 - Jason's biggest realization after 26 years of running 37signals00:29:58 - Where Jason thinks luck shaped his career00:32:41 - What Jason would do if he were graduated into the AI boom00:37:22 - Dan asks for advice on running a non-traditional company like Every00:46:39 - Why staying true to yourself is the only way to build something lasting00:49:38 - Wholeness as the north star for building products—and companiesLinks to resources mentioned in the episode:Jason Fried: Jason Fried (@jasonfried), Jason FriedMore about 37Signals: 37signalsThe book about architecture by Christopher Alexander: The Timeless Way of Building

"L'importance ne réside plus uniquement dans l'écriture de code, mais dans la capacité à exprimer des concepts systèmes et à conceptualiser les solutions." Episode in English // Premier épisode en anglais d'If This Then DevThe D.E.V. of the week is Marcel Weekes, VP of Engineering at Figma.Marcel shares what it means to lead a global engineering team while keeping collaboration, creativity, and quality at the core. We discuss how Figma bridges designers, developers, and AI &mdash and how this unique culture shapes the way software gets built.From managing tech debt at scale to integrating AI-driven code generation, Marcel reflects on how roles are evolving, why feedback is an art form, and what agility really means when your product is collaboration itself.A sincere and grounded conversation on leadership, complexity, and the human side of engineering.Chapters00:00:53 : Introduction: the Figma mindset00:03:17 : Inside Figma's 700-engineer team00:08:33 : Productivity, collaboration, and trust00:11:42 : The VP Engineering's role in keeping teams connected00:16:16 : The art of feedback00:22:02 : Managing tech debt at scale00:27:30 : Code generation tools and developer satisfaction00:34:05 : How AI is changing software development00:41:25 : The evolving role of developers with AI00:45:54 : Final thoughts and cultural recommendationsMarcel's recommandationAtlanta (serie TV) **Restez compliant !** Cet épisode est soutenu par Vanta, la plateforme de Trust Management qui aide les entreprises à automatiser leur sécurité et leur conformité. Avec Vanta, se mettre en conformité avec des standards comme SOC 2, ISO 27001 ou HIPAA devient plus rapide, plus simple, et surtout durable. Plus de 10 000 entreprises dans le monde utilisent déjà Vanta pour transformer leurs obligations de sécurité en véritable moteur de croissance.

We have a very special guest this week: Lee Isaac Chung (Minari, Twisters) brings one of his favorite movies of all time, Steven Spielberg's Artificial Intelligence, to the podcast as his Deep Cut Pick! Isaac chats about his awe and love for the film, what he's learnt as a filmmaker from working with Spielberg on Twisters, and his own transition into blockbuster filmmaking. We also discuss Hayley Joel Osment's all-timer of a child performance, the film's divisive ending, Spielberg's masterful blocking, and the film's worldbuilding and depictions of the future. Find the blue fairy at our FREE patreon, discord server, and our socials @ www.deepcutpod.com Timestamps:00:00:00 Introducing Lee Isaac Chung00:01:50 Introduction to Steven Spielberg and our connection with his work00:09:02 Why Isaac chose AI as his Deep Cut00:13:46 First reactions to AI00:18:04 Plot summary and production context00:20:19 Kubrick00:24:48 Minor Barry Lyndon spoiler00:26:24 Spoiler ends00:28:12 Love/hate and Spielberg's touch00:35:38 Hayley Joel Osment's performance 00:41:53 Strategies for directing children00:46:29 Act 2: Jude Law and Flesh Fair00:52:03 Worldbuilding and depiction of AI00:55:46 Ending01:01:13 Spielberg's blocking01:09:24 Isaac's experience moving into blockbuster filmmaking01:13:46 Outro

⚡️ Enterprise Training — upscaile.com

Retrouvez l'épisode en version française ici : https://www.gdiy.fr/podcast/reid-hoffman-vf/“There is no if. There is only when.”That's how Reid Hoffman answers when asked whether AI will revolutionize business, help govern nations, or cure cancer.And he's earned the right to say it. In the six months between his first appearance on GDIY and this one, we've witnessed some of the biggest breakthroughs in AI history.But those same six months have also deepened the rift between the U.S. and Europe.While most of Silicon Valley's leaders are bowing to President Trump's politics of fear, Reid remains one of the few willing to challenge it — defending freedom of speech in its purest form, not the version sanctioned by power.After co-founding PayPal and LinkedIn, he went on to serve on the boards of dozens of companies including OpenAI until 2023, and Microsoft, where he still sits today.He also advises several governments seeking to understand how AI can be deployed responsibly across society — and even in governance itself.In this episode, Reid shares how to unlock AI's full potential, and how he personally uses it every day : to write, to think, and to challenge his own ideas.A brilliant, grounded mind — far from the radical “tech bros” — driven not by hype, but by a genuine belief in progress.TIMELINE:00:00:00 : “AI is a fantastic enablement of human connection”00:10:05 : Reid's best hacks for daily uses of AI00:20:13 : How to help governments deploy AI in society00:31:24 : What Trump's fear-based government is changing in the US00:49:48 : The vibe-coding revolution and why you should pay attention01:01:53 : Curing cancers with AI?01:06:55 : Why everybody should use AI, even retired people01:13:23 : Start a company with $0 in 2025: what would Reid do01:20:14 : Amazon, Microsoft, Google: who's winning the AI race01:28:17 : “Don't be anxious. Be aware and keep pushing.”We referred to previous GDIY episodes : #452 - VO - Reid Hoffman - LinkedIn, Paypal - L'humanité 2.0 : Homo technicus plus qu'Homo sapiens#452 - VF - Reid Hoffman - LinkedIn, Paypal - “We are more Homo technicus than Homo sapiens”#487 - VF - Anton Osika - Lovable - Internet, Business et IA : rien ne sera jamais plus comme avant#487 - VO - Anton Osika - Lovable - Internet, Business, and AI: Nothing Will Ever Be the Same Again#426 - Thomas Clozel - Owkin - Comment casser Big Pharma grâce à l'IA#473 - VO - Brian Chesky - Airbnb - « We're just getting started »#473 - VF - Brian Chesky - Airbnb - « Après 17 ans, nous ne sommes qu'au début de notre histoire »A few recent episodes in English : #437 - James Dyson - Dyson - “Failure is more exciting than success”#431 - Sean Rad - Tinder - How the swipe fever took over the world#475 - VO - Shane Parrish - Farnam Street - Clear Thinking: The Decision-Making ExpertWe spoke about :Possible Podcast - Reid HoffmanEleven Labs7 magic products of GoogleManas AIThe Lafayette FellowshipSquarespaceOpenAI Jobs PlatformReading Recommendations :Superagency - Reid HoffmanThe Emperor of All Maladies - Siddhartha MukherjeeA Brief History of Intelligence - Max BennettThe Road Less Traveled - Scott PeckCheck out Reid's YouTube channel and his podcast Possible.You can also follow Reid on LinkedIn (of course) and on Instagram.Interested in sponsoring Generation Do It Yourself or proposing a partnership ? Contact my label Orso Media through this form.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

What can AI optimize—and what can only a person transmit?This episode invites a curious look at where technology ends and yoga begins. A seasoned teacher explores the uneasy mix of excitement and fear around AI: the urge to use smarter tools vs. the risk of losing something essential. Instead of answers, you'll get questions that linger:If a sequence is flawless, why can it still feel empty?How do you tell support from substitution?When does help from AI become dependent?You'll hear a thought experiment about a “perfect” robot-led class, a challenge to our habit of outsourcing judgment, and a reminder about what lands only when two people share a room: presence, accountability, being truly seen. If you're curious about using AI without losing your craft—or your why—press play and decide for yourself.—-------—-------—-Episode Chapters:00:00:00 Introduction00:01:10 AI in the Body: Fear or Freedom?00:02:28 Byron's First Feeling: Fear + Excitement00:04:53 Will AI Replace Yoga Teachers?00:05:58 AI as Tool, Not Replacement00:08:31 The Risk of Blindly Trusting AI00:10:59 Thought Experiment: Robot-Led Yoga00:11:19 What Only Humans Bring: Presence & Touch00:15:07 Don't Outsource Your Prefrontal Cortex00:17:31 Perspective: We're Early in AI00:18:57 Tipping Points & Cultural Adoption00:21:04 Mastery and Being Irreplaceable00:22:49 Human Connection > Perfect Cues00:24:19 Technology Changes; Values Remain00:27:27 Intentions at the Center00:28:14 Closing—-------—-------—-

What if AI could help you work smarter, not harder?Sam Blake did the unthinkable: he reduced his team from 30 to 12 employees while increasing productivity and revenue. In this episode of Walk In Victory, Sam shares his complete AI transformation playbook—from overcoming skepticism to building automated systems that run his business.In this episode, you'll discover:✅ How Sam automated content creation and operations✅ The mindset shift required to embrace AI (and why most people resist)✅ Real opportunities in the AI landscape for entrepreneurs✅ Sam's telehealth venture and personal health journey✅ Why abundance thinking is critical in the age of automationWhether you're a business owner, entrepreneur, or just AI-curious, this conversation is a masterclass in leveraging technology for growth without losing the human touch.

Artificial intelligence is one of the most powerful forces reshaping the global economy, technology, and investing. But understanding AI requires looking at the full story — where it began, how it is unfolding, and where it is headed next.With recent headlines in OpenAI from its $100bn Nvidia investment to its release of Sora, this special in-depth episode of The Bid brings together highlights from across our conversations with BlackRock experts to trace the arc of AI's evolution: its origins, today's massive infrastructure build-out, the unprecedented power demand it creates, its adoption across industries, its geopolitical stakes, and what lies ahead for investors.Key themes:The history and milestones that shaped AI as an investment themeThe massive infrastructure and capital fueling the AI build-outWhy AI's energy demands could reshape global power consumptionHow AI adoption is boosting productivity and changing workAI as a geopolitical competition between nationsWhat the exponential future of AI may bring for marketsKey moments in this episode:00:00 Introduction to a reflection on AI00:20 The Evolution of AI: From Theory to Practice00:56 The Investment Landscape of AI01:45 Historical Milestones in AI05:08 The Build-Out Phase of AI Infrastructure07:25 Energy Demands of AI09:43 Adoption and Transformation of AI10:57 AI in Geopolitical Competition12:09 The Future of AI: Layers of Opportunity16:16 Conclusion and Investor InsightsCheck out this playlist to learn more about AI investing: https://open.spotify.com/playlist/1rt6kLl0fzg9D7puEkAupq

This episode is a little different from our usual fare: It's a conversation with our head of AI training Alex Duffy about Good Start Labs, a company he incubated inside Every. Today, Good Start Labs is spinning out of Every as a separate company with $3.6 million in funding from General Catalyst, Inovia, Every, and a group of angel investors from top-tier AI labs like DeepMind. We get into how Alex learned some of his biggest lessons about the real world from games, starting with RuneScape, which taught him how markets work and how not to get scammed. He explains why the static benchmarks we use to evaluate LLMs today are breaking down, and how games like Diplomacy offer a richer, more dynamic way to test and train large language models. Finally, Alex shares where he sees the most promise in AI—software, life sciences, and education—and why he believes games can make the models we use smarter, while helping people understand and use AI more effectively.If you found this episode interesting, please like, subscribe, comment, and share.Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperTimestamps00:00:00 - Start00:01:48 - Introduction00:04:14 - Why evals and benchmarks are broken00:07:13 - The sneakiest LLMs in the market00:13:00 - A competition that turns prompting into a sport00:15:49 - Building a business around using games to make AI better00:22:39 - Can language models learn how to be funny00:25:31 - Why games are a great way to evaluate and train new models00:26:58 - What child psychology tells us about games and AI00:30:10 - Using games to unlock continual learning in AI00:36:42 - Why Alex cares deeply about games00:44:37 - Where Alex sees the most promise in AI00:50:54 - Rethinking how young people start their careers in the age of AILinks to resources mentioned in the episode:Alex Duffy: alex duffy (@alxai_)Good Start Labs: https://goodstartlabs.com/, good start (@goodstartlabs)The book Alex is reading about the importance of games: Playing with Reality: How Games Shape Our WorldThe book Dan recommends by the psychoanalyst D.W. Winnicott: Playing and Reality

00:00:00 Intro - Oh God, the AI00:03:30 Briar's Garage Golf Sim00:06:00 Fran's Arm Nerve Issue00:11:25 Watts Is a Real American 00:20:40 Yotei Impressions Round 200:35:10 Battlefield 6 00:47:42 Arc Raiders Resets01:13:00 60-percent of US game players only buy two games or fewer01:26:50 Valor MortisJoin our DCP Discord Server!https://discord.gg/dcp--------------------------------------------------------We have a new merch store! Exclusive t-shirts and more incoming!https://store.streamelements.com/dcp_liveSave 5% on Scuf Gaming with code "DCP"https://scufgaming.com/----------------------------------------------------------------------------------------------------------------Find all of the DCP Members on Twitter: @teft | @TheBriarRabbit | @myelingames | @Mrs5oooWattsaArt by Ash: @AR_McDSocial Media and Twitch Management by Mr_Ar3s: @Mr_Ar3s

In this episode of B2B Marketing Excellence & AI, Donna Peterson sits down with Bridgette Lehrer, the Global Audience Engagement Leader at UC Berkeley, to talk about what it really takes to build trust in higher education marketing today.They explore how to stay personal and purposeful as technology continues to evolve — and how a thoughtful balance between traditional and digital marketing can create a stronger sense of community.Bridgette shares practical ways her team nurtures long-term relationships with students, alumni, and colleagues across the world. From understanding cultural nuances in international outreach to creating personalized content powered by AI, she offers insights that every education marketer can apply right away.One of Donna's favorite examples is a simple but powerful traditional marketing initiative they use on campus: students take photos, then choose a few favorites to turn into postcards. During special events, everyone is invited to select a postcard and send it home to parents or friends. It's a small gesture that builds genuine connection — and gets the entire UC Berkeley community involved.Whether you manage executive education programs or global enrollment campaigns, this conversation will give you actionable ideas to:Blend digital tools with human touchpoints to strengthen relationships.Use AI for personalization without losing authenticity.Reimagine traditional tactics to bring people together in meaningful ways.The future of higher education marketing isn't about more technology — it's about using it wisely to stay human.Timestamps00:00 — Introduction: Staying Human in the Age of AI00:37 — Meet Bridgette Lehrer, UC Berkeley01:23 — Building Relationships in a Digital World02:58 — The Power of In-Person Connections04:52 — Adapting Marketing for Global Audiences08:40 — Using AI for Personalized Communication20:24 — The Importance of Video Content25:30 — Engaging Students and Alumni on Social Media28:39 — Closing Thoughts: Keeping Engagement AuthenticBridgette Lehrer Bio-LinkedIn: https://www.linkedin.com/in/bridgette-lehrer/Bridgette Lehrer is the Assistant Director for Marketing and Outreach with the Berkeley International Study Program, a study abroad option at the University of California, Berkeley for highly motivated exchange students. Since 2009, she has cultivated expertise in students' engagement, strategic marketing and outreach management with particular emphasis on international student recruitment and alumni relations. Prior to Berkeley, Bridgette worked in diverse industries including nonprofit fundraising, corporate marketing, and technology customer service. Her educational background includes a B.A. in Art History (Arizona State University), an M.A. in Museum Studies (San Francisco State University) and a Certificate in Digital Marketing (eCornell University).

 Reviving Cold Leads: How AI and Human Touch Can Transform Your BusinessWelcome to the "Fortune is in the Follow-Up" webinar! I'm Justin Benton, and I'm thrilled to share insights from over 30 years of experience in leveraging AI to enhance business follow-ups. Today, we dive into how AI can be a game-changer for business owners, coaches, and consultants sitting on untapped potential.Key Points Discussed:Introduction to AI in Business:AI is revolutionizing how we handle business follow-ups.The focus is on using AI to achieve exponential growth and efficiency.The Importance of Follow-Up:94% of sales come from follow-up, yet most people don't follow up more than twice.Effective follow-up can turn cold leads into high-ticket clients without burnout.Convert High Ticket System:An AI-powered hybrid sales team that combines AI's efficiency with the human touch.This system can revive dead leads and nurture new ones, leading to significant sales without additional ad spend or hiring.Automation and AI Tools:Use of wearable AI devices to capture data and improve customer interactions.Automation tools for email, text, and voice follow-ups that sound human and are highly effective.Success Stories:Eileen Wilder's success in closing multiple six-figure deals in 90 days using this system.The system's ability to handle large volumes of leads and convert them efficiently.Call to Action:For those with high-ticket offers, visit Convert High Ticket to apply for our done-for-you build-out.If you don't have a high-ticket offer yet, check out Convert High Ticket Supernova to learn how to create one. If you have any questions or need further assistance, feel free to reach out at sales@converthighticket.com. Let's make the most of these opportunities together! Apply to have us convert your current leads into 10K+ deals here:  www.converthighticket.comASK THIS EPISODE ANYTHING 00:00:03 - 00:00:14: Introduction and Welcome00:00:15 - 00:00:25: Justin Benton's Experience00:00:25 - 00:00:35: The Role of AI in Business00:00:35 - 00:00:47: Leveraging AI for Business Growth00:00:47 - 00:00:58: Exponential Multiplier with AI00:00:58 - 00:01:09: The Importance of Follow-Up00:01:09 - 00:01:19: Target Audience00:01:19 - 00:01:29: Introduction to Convert High Ticket00:01:29 - 00:01:40: Industry Experience and Success Stories00:01:40 - 00:01:50: Proven Track Record00:01:51 - 00:02:03: Innovative System Development00:02:03 - 00:02:13: AI-Powered Hybrid Sales Team00:02:13 - 00:02:27: Transformative Results00:02:27 - 00:02:38: Old vs. New Sales Methods00:02:38 - 00:02:48: Challenges with Traditional Methods00:02:48 - 00:02:59: Combining AI and Human Efforts00:02:59 - 00:03:09: Audience Engagement with AI00:03:09 - 00:03:20: AI Usage in Daily Life00:03:20 - 00:03:30: Wearable AI Devices00:03:30 - 00:03:40: Data as the New Gold00:03:40 - 00:03:50: Capturing and Utilizing Data00:03:51 - 00:04:01: Wearable AI for Data Collection00:04:01 - 00:04:12: Internal and External Data Utilization00:04:12 - 00:04:22: Unlocking Hidden Value Segments00:04:22 - 00:04:32: Analyzing Your List00:04:32 - 00:04:42: Types of Leads and Contacts00:04:43 - 00:04:53: Automation and Abandoned Cart Recovery00:04:53 - 00:05:03: AI Secrets for Automation00:05:03 - 00:05:13: Technological Advancements in Sales00:05:13 - 00:05:24: Focusing on Current Buyers00:05:24 - 00:05:34: Direct Mail and Customer Engagement00:05:34 - 00:05:46: Importance of Consistency in Follow-Up00:05:46 - 00:05:56: Statistics on Follow-Up Sales00:05:57 - 00:06:07: Average Follow-Up Attempts00:06:07 - 00:06:17: Effective Follow-Up Touchpoints00:06:18 - 00:06:28: Automation and AI in Follow-Up00:06:29 - 00:06:39: Voice AI for Follow-Up00:06:39 - 00:06:50: Machine Learning and Data Feeding00:06:50 - 00:07:00: Automation at Work00:07:00 - 00:07:11: Pre-Frame Equals Pre-Sold00:07:12 - 00:07:22: Nurturing Leads00:07:22 - 00:07:32: Identifying Interested Leads00:07:32 - 00:07:43: IP Technology for Lead Capture00:07:43 - 00:07:53: Voice AI for Abandoned Carts00:07:53 - 00:08:03: Immediate AI Follow-Up00:08:03 - 00:08:14: Human Assistance in Transactions00:08:14 - 00:08:24: Implementing New Ideas00:08:24 - 00:08:35: Winning Formula: Authority, Curiosity, Booked Call00:08:35 - 00:08:45: Establishing Authority00:08:45 - 00:08:56: Using Curiosity in Messaging00:08:56 - 00:09:07: Importance of Booked Calls00:09:07 - 00:09:17: Phone vs. Zoom for Sales Calls00:09:18 - 00:09:28: AI-Powered Messaging00:09:28 - 00:09:39: Building an AI Model00:09:39 - 00:09:49: Handling Lead Explosions with AI00:09:49 - 00:10:01: Automated Responses and Nurturing00:10:01 - 00:10:11: Scaling with AI00:10:11 - 00:10:21: Qualifying and Nurturing Leads00:10:22 - 00:10:32: Ready-to-Buy Leads00:10:33 - 00:10:43: Booking Calls for Conversions00:10:44 - 00:10:54: Closing High Ticket Sales00:10:54 - 00:11:06: AI Handling Outbound Communications00:11:06 - 00:11:17: Sales Team Integration00:11:17 - 00:11:27: Reviving Cold Leads00:11:27 - 00:11:38: Success Stories: Eileen Wilder00:11:38 - 00:11:48: High Ticket Offer Creation00:11:48 - 00:11:58: Convert High Ticket System Overview00:11:58 - 00:12:09: Combining AI and Human Efforts00:12:10 - 00:12:20: Current Legal Limitations of AI00:12:20 - 00:12:30: Future of AI in Sales00:12:30 - 00:12:41: AI Handling Outbound Calls and Follow-Up00:12:41 - 00:12:51: Sales Team Taking Pre-Qualified Calls00:12:51 - 00:13:02: Reviving and Warming Up Leads00:13:02 - 00:13:12: Client Success Stories00:13:12 - 00:13:22: Eileen Wilder's Testimonial00:13:22 - 00:13:33: High Ticket Offer Training00:13:33 - 00:13:44: Convert High Ticket System Recap00:13:44 - 00:13:54: AI-Powered Lead Revival00:13:54 - 00:14:05: Customized Follow-Up Sequences00:14:05 - 00:14:15: CRM Integration and Calendar Booking00:14:16 - 00:14:26: Combining Sales Closers and AI00:14:27 - 00:14:38: Done-For-You Setup and Launch00:14:38 - 00:14:48: Client Application Process00:14:48 - 00:14:58: Client Capacity and Quality Assurance00:14:58 - 00:15:08: Interview Process for Clients00:15:08 - 00:15:19: Redirecting Non-Fit Clients00:15:19 - 00:15:29: Application and Contact Information00:15:29 - 00:15:39: Final Thoughts and Encouragement00:15:39 - 00:15:50: Contact Information and Closing Remarks00:15:50 - 00:16:00: Thank You and Next Steps Thank you for tuning in to the Miracle Plant Podcast. Remember, our mission is to heal the world with the power of this miracle plant. Join us next time for more inspiring stories and insights into the world of cannabis. Produced by PodConx 101cbd - https://101cbd.org/Email Justin Benton - jbenton@101cbd.orgGet a free consultation - askjanet.orgKaneh Bosm Connection - https://youtube.com/@kanehbosmconnection Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today's guest is quite literally one of the greatest songwriters of all time.He also happens to be one of the biggest artists of all time. Imagine that.This legend needs no introduction...And the writer is... Ed Sheeran!Presented by our friends at NMPA.A huge thank you to our sponsors.NMPA fights for songwriters' rights, ensuring fair pay and protection.Check them out at NMPA.org and follow them on social media at ⁨@NMPAorg⁩Splice is the industry's top sample library—royalty-free for all. It empowers creators with its incredible library and ethical AI tools, supporting original artists every step of the way.Download Splice today and follow them on social media at ⁨@splice⁩Chapters:00:00:00 - Intro00:02:05 - Ed and Ross Reconnect00:04:41 - From Rap Battles to Shaping His Songwriting00:07:07 - Painting as Creative Outlet00:09:13 - Emotional Ties to Songs, Writing Honest Songs for Himself and Others00:12:05 - Childhood Music: Beatles, Dylan, and Irish Trad Influences00:15:07 - Fatherhood's Impact: Balancing Music and Family00:16:26 - Ed Sings His First Song!00:18:30 - Ed Sings, Ross Tests His Song Memory00:20:27 - The Key to Confidence Starts With....00:22:10 - Advice: Navigating the Music Industry's Challenges00:24:20 - Where Ed Gets His 'Buzz' From Music00:25:50 - The Thing That Made His Songwriting 'Stick'00:28:35 - No Plan B: Why He Never Gave Up00:30:04 - Discovery by Jamie Foxx: Breaking into the Scene00:36:14 - Mid-Roll Ad: NMPA Fighting for Songwriters00:36:52 - Mid-Roll Ad: Splice Supporting Creators with AI00:44:11 - First Cuts: Writing for Olly Murs and One Direction00:46:58 - Creative Process00:52:12 - The Lawsuit That Changed Everything00:55:49 - Protecting Songwriters: Why No Union Exists01:05:57 - Making "Perfect" to Prove Himself After the Lawsuit01:12:49 - Advice to Young Songwriters...01:14:03 - Legacy Songs: What Ed Wants His Grandkids to Hear01:15:23 - Family Over Fame: Being a Present Dad01:20:38 - Songs Ed's Jealous Of01:23:46 - Closing: Ed's Gratitude and Future PlansAnd The Writer Is...Hosted by Ross GolanExecutive produced by Joe London and Jad SaadFollow us on socials at @andthewriteris ​ Hosted on Acast. See acast.com/privacy for more information.

In this weeks episode, the Mayor and Toby discuss the intersection of technology and insurance, focusing on the challenges and opportunities within the industry. They explore the role of AI in transforming insurance processes, the importance of understanding client needs, and the potential for technology to attract new talent to the field. Toby shares insights from his journey in the insurance and tech sectors, highlighting the innovative solutions his company, OneFort, is developing to streamline operations and enhance client relationships.TakeawaysAI is transforming the insurance industry by automating processes.Understanding client needs is crucial for effective insurance solutions.Technology can attract new talent to the insurance field.OneFort focuses on independent insurance agents to maximize impact.Manual processes in insurance are time-consuming and need automation.Cross-selling and upselling are key strategies for insurance growth.AI can help identify underinsured clients and recommend solutions.The insurance industry faces a talent shortage that technology can address.OneFort integrates with existing tools to streamline insurance workflows.Toby emphasizes the importance of continuous innovation in tech solutions.Chapters00:00:02 Introduction and Greetings00:00:05 Discussing Upcoming Events00:00:20 The Role of Magic in Trade Shows00:03:23 Toby's Journey in Insurance and Tech00:07:55 Miscommunication in Insurance and Tech00:16:21  Focus on AI for producers, and CSR's 00:29:01  AI Solutions for Insurance00:32:04 Cross-Selling and Upselling with AI00:39:32 Future Plans and Industry GrowthSponsors:Smart Choice The Fastest growing agency network in country! Hands DownCanopy Connect - Your 1 click solution to getting the dec pages you need to quote your prospects