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Kevin Mack, the new president of Via Licensing Alliance, joins Eli for the Clause 8 season finale.Kevin talks about Via's plans to build its next patent pools around "de facto" standards — technology the market adopted on its own, with no standards body behind it — which would push collaborative licensing into territory it has never touched. Mack also takes a hard look at the royalty-free models spreading through tech and AI, from AV1 to the new Shared AI License Foundation (SAIL), argues that "free" rarely stays free, and explains why he's optimistic about where the patent system is heading.Kevin and Eli also discuss:*Via's model and the "tipping point" that turns a pool from a few licensors into thousands of licensees*"De facto" standards: pooling patents for technology no standards body ever blessed*Leadership turnover at Via, the HEVC pool's move to Access Advance, and a new strategy-and-growth group*The push into semiconductors, including a new DRAM memory program*AV1, SAIL, and why Mack thinks royalty-free rarely stays free*Whether AI patents are as "foundational" as advertised — and why "AI is not new"*Efficient infringement, patents as property rights, and why companies ultimately take a license*The mood out of Via's Rome summit and a US patent system tilting back toward ownersNotable names, companies & standardsPeople: Kevin Mack (president, Via Licensing Alliance); Heath Hoglund (former Via president); John Amster (Jamster Capital; RPX co-founder)Organizations: Via Licensing Alliance (Via LA), MPEG LA, Dolby, Access Advance, Alliance for Open Media, Shared AI License Foundation (SAIL), WIPO (PatentScope), DOJ, USPTOSAIL founders / board (public): Anthropic, Genentech, IBM, Meta, Microsoft; board observers eBay and TD Bank Group; members include Block and FigmaStandards & technologies: AAC, AVC (H.264), HEVC (H.265), AV1, MPEG-2, Qi wireless charging, DRAM memory, SEP / FRANDDisclaimer This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.voiceofip.com
What a way to close out the month. May is officially in the books, and for investors, it was hard to complain. Strong earnings, resilient economic data, and continued momentum in big tech helped push markets higher, leaving many traders wondering: Can this rally keep going? In today's Trading Week Wrap Up, we break down the biggest stories that shaped the month and the latest price action in the market's heavyweight leaders, including Microsoft, Alphabet Inc., and several other members of the Magnificent 7. We'll discuss: Why tech continues to lead the charge Whether AI enthusiasm is still driving the market What the latest price action is telling us Where opportunities and risks may be developing And of course, I'll provide updates on my own trades, including position management, recent adjustments, and lessons learned from the week's action. As always, we'll focus on what matters most: price, probabilities, and preparation. Because while headlines come and go, the market leaves clues every day. Listen now:
Shark Tank's Kevin O'Leary and political commentator Cenk Uygur go head to head on whether AI will save or destroy the economy, why American politicians are being bought by AI companies, whether Israel is the real force driving America's war with Iran, and why Cenk believes Tucker Carlson is the only person who can save America in 2028. Kevin O'Leary is an entrepreneur, investor, and one of the most recognisable faces on Shark Tank. He is also the founder and chairman of O'Leary Ventures and bestselling author of ‘Cold Hard Truth'. Cenk Uygur is a Turkish-American political commentator and co-founder of The Young Turks, the the longest-running daily online stream in internet history. He is also the bestselling author of 'Justice Is Coming'. They explain: ◼ Whether AI will transform the economy or trigger an unemployment crisis ◼ Why Trump's approval rating has collapsed and whether he can survive the midterms ◼ Whether the US stock market is heading for a crash and what it means for your money ◼ Why the US strikes on Iran are raising the price of everything you buy ◼ How Russia and China are quietly strengthening their alliance and what it means for the West 00:00 Intro 02:17 Why 7 Out Of 10 Americans Now Oppose AI Data Centers 07:06 Why AI Could Trigger A Collapse And UBI Crisis 15:12 Are AI Founders Hiding The Real Risks From The Public? 23:37 Can AI Ever Be Built Responsibly Or Is That Impossible? 31:53 How AI Is Quietly Destroying Jobs 37:17 Why Massive Unemployment Could Arrive Faster Than Expected 46:14 Ads 48:22 What's Really Happening Between Israel, Iran, And The Middle East 1:11:41 Did Trump Miscalculate How Long This Conflict Would Last? 1:15:29 Ads 1:17:50 Why America Is Rapidly Losing Its Patience 1:28:50 Are We Watching The Rise Of Socialism In Real Time? 1:33:48 Who Actually Has The Edge In The Next Presidential Election? Enjoyed the episode? Share this link and earn points for every referral - redeem them for exclusive prizes: https://doac-perks.com You can follow Kevin, here: Instagram - https://link.thediaryofaceo.com/4dc0x5p YouTube - https://link.thediaryofaceo.com/DCE3vgv X - https://link.thediaryofaceo.com/8irQNO6 You can purchase Kevin's book, ‘Cold Hard Truth: On Family, Kids and Money', here: https://link.thediaryofaceo.com/23ZO5Ki You can follow Cenk, here: YouTube - https://link.thediaryofaceo.com/3nx7gGY X - https://link.thediaryofaceo.com/G8cqEC7 Instagram - https://link.thediaryofaceo.com/FFIza3k You can purchase Cenk's book, ‘Justice Is Coming: How Progressives Are Going to Take Over the Country and America Is Going to Love It', here: https://link.thediaryofaceo.com/BJHknnM The Young Turks is live 6pm Eastern weekdays on YouTube and get your copy of Justice is Coming on https://link.thediaryofaceo.com/1UqbchE The Diary Of A CEO: ◼ Join DOAC circle here - https://doaccircle.com/ ◼ Buy The Diary Of A CEO book here - https://smarturl.it/DOACbook ◼ The 1% Diary is back - limited time only: https://bit.ly/3YFbJbt ◼ The Diary Of A CEO Conversation Cards (Second Edition): https://g2ul0.app.link/f31dsUttKKb ◼ Get email updates - https://bit.ly/diary-of-a-ceo-yt ◼ Follow Steven - https://g2ul0.app.link/gnGqL4IsKKb Sponsors: Stan - Visit https://coach.stan.store/?ref=stevenbartlett&utm_source=youtube&utm_medium=podcast&utm_campaign=episode8 Pipedrive - https://pipedrive.com/CEO Cometeer - https://cometeer.com/steven for $30 off your first order
Artificial intelligence is rapidly transforming consumer financial services and countless other industries. As AI systems become more autonomous, adaptive, and deeply integrated into commercial decision-making, courts, regulators, and industry participants are increasingly confronting a critical question: when AI causes harm, who should be held responsible? In our latest episode of our award-winning, weekly Consumer Finance Monitor Podcast, our host Alan Kaplinsky (the founder, Chair for 25 years, and now Senior Counsel of our Consumer Financial Services at Ballard Spahr LLP) had the pleasure of speaking with Mark Geistfeld, the Sheila Lubetsky Birnbaum Professor of Civil Litigation at New York University School of Law and the reporter for the American Law Institute's groundbreaking new project, Principles of the Law, Civil Liability for Artificial Intelligence. The discussion explored one of the most consequential emerging legal issues in the AI era: how traditional tort law doctrines, including duty, reasonable care, causation, foreseeability, product liability, and allocation of responsibility, should apply to AI systems. Professor Geistfeld explained why the ALI chose to pursue a "principles" project rather than a traditional restatement. Because there is still relatively little AI-specific case law, the project is intended to provide a forward-looking framework that adapts existing tort doctrines to emerging AI technologies. As Mark noted during the discussion, the project seeks to determine "what existing law, properly adapted to this new technology, would require." Their conversation covered a wide range of timely and challenging issues, including: Whether AI systems should be treated as "products" or "services" for purposes of tort liability; How liability may be allocated among foundation model developers, deployers, integrators, and end users; The role of reasonable care obligations in AI development and deployment, including testing, monitoring, and guardrails; The growing importance of transparency and industry best practices; The "black box" problem and the difficulty of proving causation when even developers may not fully understand AI outputs; The tension between fostering innovation and ensuring accountability; and How tort liability and regulatory frameworks can operate together in a complementary manner. How rapidly advancing AI capabilities, including developments involving autonomous agents and cybersecurity vulnerabilities, are accelerating the urgency of creating coherent legal frameworks. One particularly interesting aspect of the discussion involved Professor Geistfeld's explanation of how AI liability differs from traditional product liability analysis because AI systems evolve, adapt, and operate probabilistically. He emphasized that many of the challenges courts will face resemble issues already encountered in pharmaceutical litigation, toxic torts, and medical malpractice cases involving probabilistic causation. The ALI project remains in development, but preliminary drafts are already beginning to shape legal and academic discussions. Given the pace of AI advancement, courts and policymakers are likely to confront these issues long before a final completed volume is published. This podcast continues our ongoing intensive coverage of artificial intelligence and consumer financial services, including our recent programs discussing the White House AI Action Plan (listen to part 1 here and part 2 here), the White House AI Framework (listen here) and other AI regulatory developments. The episode provides valuable insights for financial institutions, fintech companies, AI developers, compliance professionals, litigators, and anyone interested in the future legal framework governing artificial intelligence. Consumer Finance Monitor is hosted by Alan Kaplinsky, Senior Counsel at Ballard Spahr, and the founder and former chair of the firm's Consumer Financial Services Group. We encourage listeners to subscribe to the podcast on their preferred platform for weekly insights into developments in the consumer finance industry.
In the latest episode of Executive Function, Brett sits down with Graham Moreno, Head of GTM at Parallel Web Systems. Before Parallel, Graham scaled Windsurf's GTM organization from three sellers to seventy-five in under a year, served as President through the Cognition acquisition, and earlier built and led enterprise sales teams at Grafana Labs and MongoDB. In this conversation, he unpacks why the AI-era backlash against structured enterprise sales misreads the data, how to design a process that raises the floor for ordinary reps without capping the ceiling for stars, and why selling to AI-native customers compresses an eight-week cycle into five business days. In today's episode, we discuss: Why in-person enterprise rollouts still beat product-led motions Building a robust sales process that still leaves room for unscripted moments Why the three highest-leverage early sales hires aren't sellers at all The case for outsized commission accelerators for star sellers — and the kind of person they attract Why most AI companies are skipping the in-person sales work that enterprise customers actually want References: Ahead: https://www.ahead.com Amazon: https://www.amazon.com Anthropic: https://www.anthropic.com Attio: https://www.attio.com Augment Code: https://www.augmentcode.com/ Cognition: https://cognition.ai Cursor: https://cursor.com Dani McCabe: https://www.linkedin.com/in/danielle-mccabe/ Datadog: https://www.datadoghq.com GitHub Copilot: https://github.com/features/copilot HubSpot: https://www.hubspot.com Jeremy Powers: https://www.linkedin.com/in/jeremypowers/ JPMorgan: https://www.jpmorgan.com Matt McClernan: https://www.linkedin.com/in/mattmcclernan/ MongoDB: https://www.mongodb.com Nicole Rettinger: https://www.linkedin.com/in/nicole-rettinger-23b20465/ Notion: https://www.notion.com OpenAI: https://openai.com Parag Agrawal: https://www.linkedin.com/in/paragagr/ Parallel: https://parallel.ai Snowflake: https://www.snowflake.com University of Chicago: https://www.uchicago.edu Windsurf: https://windsurf.com Where to find Graham: LinkedIn: https://www.linkedin.com/in/grahammoreno/ Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: 00:00 Introduction 00:32 Has the sales playbook changed in the AI era? 02:13 Why "showing up" beats letting the marketplace decide 06:50 Why great salespeople sell to engineers and executives in one motion 11:37 Selling to AI-native buyers who grew up on ChatGPT 13:49 Same seller, different tempo: 8 weeks vs. 8 business days 15:57 How AI-native buyers handle build vs. buy decisions 17:48 The rep who taught a champion's son guitar over Zoom 19:03 Raising the floor without capping the ceiling 22:09 Why too much process narrows the kind of seller you attract 25:46 The three pillars of GTM excellence 31:00 Building peers who are 80% aligned, not 100% 38:03 Whether AI is changing what good enablement looks like 41:35 Selling against direct and implied competitors at once 42:45 Instrumenting the funnel from stage zero to close 45:57 Why post-sales should always roll up to the revenue leader 48:19 The case for outsized commissions 52:02 The 96 hours of panic before Cognition acquired Windsurf 53:04 How far out should a GTM leader be planning? 57:53 What a normal week looks like in hypergrowth
主播：Meimei（中国）+ Maelle（法国） 音乐：Enemy最近，一部国产短剧《ENEMY》在全平台播放量接近20亿，成为年轻观众热议的现象级作品。这个剧的主创团队，煎饼果仔和夏天妹妹在之前就靠着他们自导自演的短剧《逃出大英博物馆》火了一把。今天就让我们一起来聊聊，是什么让这部剧如此之火？这里面打动网友的又是什么？01. What is Short Drama？什么是短剧？短剧一般非常浓缩，每集只有1到2分钟，情节紧凑。It is super short, like one or two minutes per episode. 我们可以称之为“short drama”。They're usually pretty dramatic (抓马) — like rich people fighting (豪门争斗), secret babies (秘密生子), or sudden amnesia (突然失忆). 这种剧情节奏让观众欲罢不能，也就是这类作品的魅力所在。2分钟里就能发生很多事情，而且每一集都留下 cliffhanger（悬念），让人忍不住继续往下看。cliffhanger: （剧情）悬念；吊人胃口的结尾很多网友说：本来只是随便点开，结果一口气追完。这部剧的火爆程度也吸引了国外观众的关注。这部剧一出就火，可以用smash hit来形容。smash hit: 非常流行和轰动的内容那相反的，如果有一些作品起初无人关注、不温不火。但后来突然大受欢迎并获得成功，那就可以叫做sleeper hit。sleeper hit: 先沉睡，后爆火的作品回到《ENEMY》这部作品本身，它很吸引年轻人们的另一个原因就是它里面的无限流元素。02. What is Infinite Flow？什么是“无限流”？“无限流”是中国网络小说的一种题材，常被改编成短剧。可以翻译为 infinite flow 或 infinite loop genre。主角通常被困在一个危险的游戏空间里，必须完成任务才能生存。In English we might say: multiple universes (多重宇宙) or alternate realities (平行世界).每一关的规则可能不同，可能是恐怖片主题，下一关又是科幻片。例句：The protagonist is trapped in a game space, where there are multiple universes(主人公被困进了多重宇宙的游戏设定).She has to complete missions in multiple universes to stay alive (她必须在多个宇宙中完成任务才能生存).03. Patriotism Rooted in Family Love 让人“破防”的家国情怀观众在观看《ENEMY》时，常常会被戳中泪点，这在中文网络被称为“破防”。“破防”就是原本心理防线很强，但突然被某个瞬间击中。In English we might say: That scene hit me hard emotionally（某个瞬间情感上被击中）或者 It was really tear-jerking（非常催泪）。很多网友就此指出了女主夏天妹妹的表演功力。There's one scene where she barely speaks (几乎没有台词), but you can literally see the affection and devotion in her eyes (但眼神中充满深情和不舍).Her eyes did all the talking (她的眼神已经表达了一切).这部剧的情感核心不仅是生存，还有保护他人和家园。It becomes about protecting other people, her home, and something bigger than herself. 这种情感在中文中被称作“家国情怀”。在英语中，家国情怀可以是 the idea of patriotism rooted in family love (根植于家庭之爱的爱国主义)。It really elevated the drama (这份情感让剧情更加升华).04. AI and Human Emotion 人工智能和人类真实的情感许多网友讨论，AI可以生成剧情，但无法生成灵魂。AI can generate plots, but it can't generate souls.人们关注 copyright (版权) and creative rights (创作权)，同时网友们也在关注情感的真实性。Whether AI can truly understand human emotions（AI是否能真正理解人类情感）仍是讨论热点。当作品原创、走心时，观众会说它是“手搓”的。It doesn't literally mean “made by hand” (并非字面意思是手工制作). 而是有人认真打磨过，有 human touch（有人性化的用心）。It feels handcrafted 或 It has a human touch（作品有手作感或人性化气息）。观众能够明显感受到这种区别，这也是《ENEMY》爆火的原因之一。《ENEMY》之所以火，不只是因为剧情刺激，更因为观众与角色产生了情感共鸣。People feel emotionally connected to it.尤其在AI越来越强大的时代，大家反而更珍惜真实传达出来的人类情感。Because maybe what moves us most… is still humanity itself. 也许打动我们的，依然是人性本身。欢迎在评论区留言：正在收听节目的你，有刷到《ENEMY》吗？Have you watched the short drama 《ENEMY》?
In this episode of the Late Night Vision Show, we dive into one of the biggest questions in the thermal world:
Inside Jobs Reacts: Host Matt Sunbulli and Executive Producer Aaron Calafato unpack the emotional, ethical, and economic questions emerging from the worker stories behind today's rapidly changing AI economy — and the headlines reshaping modern work in real time. This episode, after profiling two workers caught inside the new AI economy, Matt and Aaron come back together to unpack what the shows last two profile episodes reveal about work, automation, and the growing uncertainty surrounding the future of employment. One worker made nearly $70,000 a year training AI models while still in college. Another spent nearly two decades inside the hidden world of AI data annotation. Together, their stories expose the largely invisible human labor helping build today's artificial intelligence systems — and the unsettling reality that many of those same workers may now be vulnerable to disruption themselves. In this episode: The hidden human workforce behind AI training Why general AI annotation work is disappearing Microsoft buyouts, layoffs, and the larger anxiety surrounding AI automation The growing fragility facing both young workers and seasoned professionals Whether AI is truly “assisting” workers or quietly replacing tasks altogether Why the modern economy feels productive and unstable at the same time
Welcome back to Grace Bond Ministries!In Episode 3 of our “AI for Christians” series, we put ChatGPT to the test LIVE on screen. We ask deep philosophical questions, theological questions, moral questions, and even some fun prompts to explore both the strengths and weaknesses of artificial intelligence.Can AI know truth? Can it answer spiritual questions? Can it be trusted? And how should Christians think biblically and wisely about tools like ChatGPT?In this episode, Jonathan Jenkins and Christian Walton interact directly with AI in real time as we discuss:• Truth and religion • Jesus and theology • Abortion and morality • Whether AI can be trusted • How AI generates information • The dangers and benefits of artificial intelligence • And much moreOur goal is not fear or hype—but discernment. AI can be an incredibly useful tool, but it should never replace Scripture, biblical wisdom, the local church, or a personal relationship with Jesus Christ.“Test all things. Hold on to what is good.” — 1 Thessalonians 5:21Hosted by Jonathan Jenkins and Christian WaltonGrace Bond MinistriesEphesians 2:8-9
The four-day week gets talked about a lot, but what happens when you stop talking about the theory and start measuring impact properly? In this episode of Data Malarkey - the podcast about using data, smarter - Master Data Storyteller, Sam Knowles, speaks to Charlotte Rae, Associate Professor in Psychology at the University of Sussex. Charlotte is one of the UK's leading quantitative researchers on the impact of the four-day working week. She explains how the Sussex 4 Day Week research project studies real employers, real staff, and real outcomes to understand what changes when businesses move to working time reduction. From productivity and sleep to motivation, meetings, AI, and whether the "honeymoon effect" wears off, this is a brilliant conversation about what the evidence says and where the practical challenges still sit. In this episode, you'll learn: The difference between working time reduction, compressed hours, and part-time working How the Sussex 4 Day Week programme helps businesses prepare, trial, and measure results Why productivity rose by around 8% on average in the trial period Why improved sleep appears to be linked to improved productivity How motivation and behaviour change drive better output in less time Which sectors and business sizes are best suited to shorter working weeks Why most four-day week businesses do not simply shut on Fridays How AI may help enable shorter working weeks, but only if used in a structured way Topics we cover: Four-day week models explained Measuring productivity, wellbeing, burnout, sleep, and motivation Why little tweaks often beat big grand changes The role of rest, recovery, and hobbies Sector differences: knowledge work, manufacturing, care, rota-based businesses Which non-working day businesses choose most often Long-term stickability of the four-day week Whether AI could accelerate working time reduction About the guest: Charlotte Rae is an Associate Professor in Psychology at the University of Sussex and leads the Sussex 4 Day Week research project. With a background in psychology and neuroscience, she applies a rigorous, data-driven approach to studying how shorter working weeks affect productivity, wellbeing, and workplace performance. Links and resources mentioned: Sussex Four Day Week: https://sussex4dayweek.co.uk Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com
AI is moving faster than most people realize, and one of the strangest things I’m seeing right now is people turning to it for therapy, emotional support, and even companionship. In this episode, I sit down with Dr. Eric Scalise to talk about what’s happening as artificial intelligence starts filling roles that used to belong to real human relationships. We get into loneliness, isolation, shame, the aftermath of COVID, and why so many people feel more comfortable opening up to a machine than another person. Dr. Scalise has spent more than 40 years working in counseling, psychology, ministry, and mental health, and this conversation really challenged me to think deeper about the line between using AI as a tool… and using it as a substitute for actual connection. We talk about: Why people are emotionally attaching to AI The dangers of affirmation without truth How isolation makes people vulnerable The spiritual side of loneliness Whether AI can ever replace human connection How Christians should think about this technology The rise of AI counseling and therapy tools AI is here to stay. The question is whether we’re using it… or letting it use us. Follow Dr. Eric Scalise & Hope For The Heart:hopefortheheart.org Ready to JOIN THE FIGHT? Join Bryce’s email list for opportunities to join the discussion, get exclusive interviews, and MUCH MORE: Bryceeddy.com For daily episodes, news, and conservative discussions like this, SUBSCRIBE to The Bryce Eddy Show:https://podcasts.apple.com/us/podcast/the-bryce-eddy-show/id1635204267 Instagram:https://www.instagram.com/thebryceeddyshow/ X:https://x.com/Bryceeddy1 Protect your life’s hard work with real Gold & Silverhttp://BryceEddyGold.com Start today and receive up to $10,000 in free Silver Unmatched Supplements:https://www.unmatchedsupps.com/?sca_ref=10265694.915qoHrd8bSee omnystudio.com/listener for privacy information.
AI is reshaping how guests search, discover, and book short-term rentals — are you ready?In this episode of the Host Planet Podcast, Gil Chan from CraftedStays explains how AI is changing direct bookings — and what hosts and property managers need to do now to stay ahead.In this episode, you'll learn:– Whether AI is a threat or opportunity for direct bookings– Why reliance on OTAs like Airbnb and Booking.com may decline– How SEO is changing in an AI-first world– Why content is now “emperor”– What an AI-ready direct booking website actually looks like– How AI can improve conversion rates– The biggest mistakes STR brands are making with AI– Where direct bookings are heading over the next three yearsIf you want more direct bookings – and a future-proof strategy – this is essential viewing.Watch now and get ahead of the shift0:13 Is AI a threat or an opportunity to hosts who prioritise direct bookings? 1:30 AI will reduce dependency on OTAs like Airbnb and Booking.com 3:50 There's a big opportunity for Airbnb 6:31 How do property managers need to rethink SEO in this new AI world? 8:52 Should your website feature a lot of questions and answers? 11:01 It's better to edit and humanise AI-generated content 13:11 Having a big footprint across the web is very important 14:26 Content is emperor (it's been promoted from king) 16:06 How is advertising going to change the game on platforms like ChatGPT? 18:08 Large Language Models like ChatGPT, Google Gemini, Perplexity, and Claude know you much better than Google 19:35 Create content that's useful 20:23 What does an AI-ready direct booking website look like? 24:42 How can AI improve conversion on direct booking websites? 26:06 The way people search for trips is changing massively 31:49 The property you need, rather than the one you're most likely to book 34:06 The mistakes STR brands are making with AI 36:40 Where will direct bookings be in three years' time? 39:09 CraftedStays develops high-converting websites Looking for a great property management software or digital guidebook? You need Hostfully!Check out these special offers:Property Management Software: Get $500 off onboarding by using the code PLANET500.Digital Guidebooks: Get 30% off for life by using the code HOSTPLANETGB.Click here to sign up for Hostfully: https://www.hostfully.com/host_planetKeen to book a Hostfully demo? Click here to connect with Frank Bosi: https://tinyurl.com/Hostfully-DemoEmail Frank: frank@hostfully.com Host Planet: https://www.hostplanet.club/James Varley: https://www.linkedin.com/in/jdsvarley/Gil Chan: https://www.linkedin.com/in/thegilbertchan/CraftedStays: https://craftedstays.co/Host Planet Roadshow: https://www.hostplanet.club/host-planet-roadshowEpisode to check next: Your Airbnb Guests Are Leaving Bad Reviews Because of This: https://www.youtube.com/watch?v=QA-MyeJpm-kThe Host Planet Podcast is where Airbnb hosts, Booking.com hosts, Vrbo hosts, and short-term rental operators come to learn what actually works. Each episode features expert insights from people actively building, managing, and scaling short-term rentals, covering everything from Airbnb hosting fundamentals to advanced rental strategies. Whether you're focused on guest satisfaction, rental management, or smarter automation tips, the show delivers practical advice you can apply immediately to improve performance and increase Airbnb bookings.Across the series, we explore Airbnb host tips, listing optimization, price optimization, and Airbnb listing optimization – alongside real-world investing insights and behind-the-scenes Airbnb secrets you won't hear elsewhere. From hosted conversations with industry leaders and Airbnb ambassadors to actionable guidance on bookings and short-term rental growth, Host Planet helps hosts navigate short term rentals with confidence and clarity.Contact the show: info@hostplanet.club
Hosts Michael Tamblyn and Nathan Maharaj dove deep on the controversy around the book Shy Girl, which was cancelled by its publisher who alleged it was largely AI-generated. Links on Shy Girl: The video from January 2026 that seems to have led to Shy Girl's cancellation: i'm pretty sure this book is ai slop - YouTube Publishing news journalist Alexandra Alter on the controversy over the cancellation of Shy Girl: A.I. Is Writing Fiction. Publishers Are Unprepared. - The New York Times Publishing industry analyst Thad McIlroy on what NYT omitted from their piece: I Broke the Year's Biggest Literary Story. The New York Times Took the Credit | The Walrus Two very "inside baseball" overviews of what happened: The New Publishing Standard's deep dive on Shy Girl Publisher's Weekly industry analysis What might be the last extant page on any of Hachette's sites about the book: Shy Girl: Read the femgore revenge novel that EVERYONE is talking about! by Mia Ballard - Books - Hachette Australia Other links from this episode: Why AI detection is hard People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text - ACL Anthology (mistakenly attributed to MIT in the episode) Past episodes of this show that touched on the use of AI in book publishing: Michael bets on "AI Sally Rooney" (from October 2024) Anna Gomez enlisted AI for research assistance when writing a romance road trip (November 2024) Sean Michaels wrote a book about AI and art by using AI for parts of it (November 2023) More author interviews at kobo.com/conversation Find past Booktalking episodes here
Hosts Michael Tamblyn and Nathan Maharaj dove deep on the controversy around the book Shy Girl, which was cancelled by its publisher who alleged it was largely AI-generated. Links on Shy Girl: The video from January 2026 that seems to have led to Shy Girl's cancellation: i'm pretty sure this book is ai slop - YouTube Publishing news journalist Alexandra Alter on the controversy over the cancellation of Shy Girl: A.I. Is Writing Fiction. Publishers Are Unprepared. - The New York Times Publishing industry analyst Thad McIlroy on what NYT omitted from their piece: I Broke the Year's Biggest Literary Story. The New York Times Took the Credit | The Walrus Two very "inside baseball" overviews of what happened: The New Publishing Standard's deep dive on Shy Girl Publisher's Weekly industry analysis What might be the last extant page on any of Hachette's sites about the book: Shy Girl: Read the femgore revenge novel that EVERYONE is talking about! by Mia Ballard - Books - Hachette Australia Other links from this episode: Why AI detection is hard People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text - ACL Anthology (mistakenly attributed to MIT in the episode) Past episodes of this show that touched on the use of AI in book publishing: Michael bets on "AI Sally Rooney" (from October 2024) Anna Gomez enlisted AI for research assistance when writing a romance road trip (November 2024) Sean Michaels wrote a book about AI and art by using AI for parts of it (November 2023) More author interviews at kobo.com/conversation Find past Booktalking episodes here
Tricia and Jeff talk about what AI literacy actually looks like in K-12 — past the policy memos, past the vendor pitches, past the "ban it or adopt it" debate that keeps stalling schools out. They were very excited to receive questions from a student, and they used those as the structure for this conversation. The conversation uses the Shifting Schools BAKE framework as a loose map: Balance, Adaptability, Knowledge-sharing, Empathy. A mindset-first approach for leaders who want to think clearly instead of react fast. What Jeff and Tricia get into: How to explain AI to a 10-year-old without overcomplicating it (and why metaphors help) Where kids still need to struggle on their own — and why productive friction is identity-forming work The first habits to teach when a child gets AI access: check it, don't trust it; notice when your thinking shuts down Whether AI can actually make education more inclusive, and what has to be in place before it does The mistakes schools and parents are making right now: banning instead of teaching, adopting without training, treating AI like an IT rollout instead of a relationship shift Check out the free one-pager: https://drive.google.com/file/d/17ny-mD1QY450NdG5J4gVZzZE01qyFfOM/view?usp=sharing
You want results. Real, lasting, life-changing results. And the guys are breaking down the ONE investment that actually delivers... hiring a great personal trainer. But here's the thing... most people quit. Sal, Adam, and Justin go through the top six reasons why people stop working with their trainers, and they pull zero punches doing it. From the cost objection to boring workouts to scheduling excuses, they expose what's really going on AND whether AI can step in and fill the gap. Spoiler alert... AI is NOT the answer. Not because information isn't valuable, but because information was NEVER the point. Google has existed for decades. Fitness magazines have been free at the library forever. The real value of a great coach is the human relationship, the behavioral steering, the ability to READ you when your data says one thing but your face says another. That's something no chatbot can replicate... at least not yet. This episode also covers live caller coaching, a 55 minute intro packed with fitness, fat loss, muscle gain, diet talk, and current events, AND a wild tangent about P90X making a comeback with a brand new program. You do NOT want to miss the guys reacting to those training pillars. Plus there is a brand new program, MAPS Push Pull Legs, dropping this month at 40% off. This one is for YOU if you are serious about building a real physique with a smart, effective split. MAPS Push Pull Legs https://mapsppl.com code: PPL for 40% off Sponsors: Manukora ⇨⇨go to manukora.com/MINDPUMP Use code MINDPUMP and save up to 31% plus $25 worth of free gifts with the Starter Kit, Kit, which comes with an MGO 850+ Manuka Honey jar, 5 honey travel sticks, a wooden spoon, and a guidebook! ButcherBox ⇨⇨go to butcherbox.com/mindpump NOW - 5/18 - New users will receive their choice between Chicken breast for a year, Top Sirloin for a Year or Ground beef for LIFE + $20 off at checkout LMNT can help prevent and eliminate headaches, muscle cramps, fatigue, sleeplessness, and other common symptoms of electrolyte deficiency.When you sweat, the primary electrolyte lost is sodium - athletes can lose up to 7 grams per day. When sodium is not replaced, it's common to experience muscle cramps and fatigue. http://drinklmnt.com/MindPump "Get a free Sample Pack of LMNT's most popular drink mix flavors with any purchase! Find your favorite LMNT flavor, or share with a friend." As always, LMNT offers no-questions-asked refunds on all orders. 00:02:56 6 Reasons People Quit Their Personal Trainer — And Whether AI Can Fix Them 00:03:52 Reason #1: Too Expensive — Is AI a Real Substitute? 00:08:35 Reason #2: Workouts Aren't Personalized — What a Good Coach Actually Does 00:12:56 Reading Clients Beyond Data — Psychology Is 80% of Coaching 00:17:31 Reason #3: Boring Workouts — Why the Best Coaches Have the Simplest Programs 00:20:38 Reason #4: Scheduling Issues — The Real Reason People Don't Have Time 00:23:15 Reason #5 & 6: Trainer Doesn't Practice What They Preach 00:25:39 P90X Is Back — Generation Next Breakdown 00:29:28 The Prompting Problem: Why AI Workouts Fail Without a Trainer Brain 00:31:20 Sal's Cousin's Mystery Pain — The Connection Nobody Could See 00:33:26 Toddler Tantrum Story — Army Crawling in Protest 00:35:43 Car Seat Fights & Growing Up Without Safety Laws 00:38:54 Riding in the Back of Pickup Trucks & Dad's Work Van 00:40:49 Manuka Honey on Ribs — Adam's Smoking Recipe 00:43:33 Manuka Honey Post-Workout — Why It Protects Your Gut 00:45:43 Butcherbox Ribs, Heritage Pork & Ground Beef Quality 00:48:21 Sal's Brother Having Third Boy — Three Active Sons 00:51:16 Adam's Vintage Car Breakdown — 3 Hours on the Side of the Road 00:54:20 Getting Recognized at the Vasectomy Clinic 00:57:03 Caller #1 — Nikki: 15-Year-Old Son Squatting 315 with Knee Pain — Growth Plate Myth Debunked 01:09:14 Caller #2 — Mike: Lost 20 lbs, Stalled at 1,900 Cal, Now Eating 2,500 and Getting Leaner 01:20:55 Caller #3 — Kayla: BMR Scans Are Almost Always Wrong — What to Trust Instead 01:33:54 Caller #4 — Hannah: D1 Athlete, 2 C-Sections, Hitting PRs, Still Too Hard on Herself
In the latest episode of the Leadership in Insurance Podcast, host Alex Bond sits down with Kasey Roh, Head of US at Upstage AI, for a conversation that stretches from the lessons of large-scale manufacturing automation to the cutting edge of AI-powered document processing in insurance.Kasey brings a rare perspective — shaped by hyper-growth stints at Meta and Tesla — to the world of enterprise AI. She reflects on witnessing Tesla's journey to scale Model 3 production, where the hard-won lesson was clear: attempting to automate before truly understanding every step of the process is a costly mistake. Only by mapping workflows end-to-end with domain experts first did the operation find its footing — a principle she carries directly into how Upstage approaches AI adoption in insurance today.In this episode, Kasey and Alex explore:
Could AI replace a $25,000 property investment expert… or make a six-figure mistake on your behalf?In this episode, Ed and Andrew run a live experiment using AI to see if you can skip paying for advice. You'll learn: Whether AI can actually recommend the right type of investment property How well it analyses deals Where AI gets it right… and where it falls short compared to a human adviser The key takeaway? AI is powerful – but it's not a silver bullet. For more from Opes Partners:Sign up for the weekly Private Property newsletterInstagramTikTok
What if the country that produces the world's top AI talent finally figured out how to keep it? In this episode of Eye on AI, Craig Smith sits down with Professor Mausam, one of India's leading AI researchers, AAAI Fellow, and founding head of the Yardi School of Artificial Intelligence at IIT Delhi, to get an honest and unflinching diagnosis of why India has fallen so far behind the US and China in artificial intelligence and what it will actually take to close that gap. Mausam breaks down the structural story behind India's deficit. A pipeline of world-class students that gets exported abroad the moment it graduates. A professor shortage so severe that IIT Delhi's entire School of AI has hired only five new faculty members in five years. A government AI mission with the right instincts but not enough speed or boldness. And a brain drain made worse by the very thing India is proud of, its English fluency, which makes its talent the easiest in the world to absorb and the hardest to bring back. Mausam walks through the full picture. How China built its research dominance not through students but through aggressively repatriating senior researchers with real salaries, real lab resources, and real authority to build research cultures from scratch. Why the AlexNet moment in 2012 was actually an equalizer that gave China's fledgling ecosystem a surprise advantage over more established Western research groups. How India's JEE coaching culture and IIT bottleneck are symptoms of a scarcity of quality institutions rather than a broken exam. What the government's AI mission is getting right on compute, data, and sectoral focus, and where the critical gaps remain. And why Mausam believes that bringing one hundred top professors back to India would do more for the country's AI future than any single government program or funding initiative. We also get into the harder questions. Whether AI degrees belong at the undergraduate level or should sit on top of a computer science foundation. Why Mausam no longer holds an optimistic view on AI's impact on software jobs and why he thinks Geoff Hinton's point about plumbers has merit. And what it would actually take for a democracy of 1.4 billion people to stop training the world's AI leaders and start keeping them. Subscribe for more conversations with the researchers, builders, and policymakers shaping the future of artificial intelligence. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Introduction: India's AI Gap and Professor Mausam's Background (02:30) Building the Yardi School of AI at IIT Delhi (07:44) How Far China Has Pulled Ahead in AI Research (12:55) Why India Could Not Follow China's Playbook (29:18) The JEE System, Coaching Culture, and the IIT Bottleneck (30:37) AI Degrees, Job Market Realities, and the Future of Work (44:18) The Real Problem Is Professors, Not Students (48:07) Big Tech Labs in India: Helpful but Not at Scale (51:46) The Government AI Mission: Progress and Gaps (55:20) The Compute and Data Infrastructure Problem (59:54) Can India Close the Gap Before It Is Too Late
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Demis Hassabis is the Co-Founder & CEO of Google DeepMind - working on AGI, responsible for AI breakthroughs such as AlphaGo, the first program to beat the world champion at the game of Go; and AlphaFold, which cracked the 50-year grand challenge of protein structure prediction and was recognised with the 2024 Nobel Prize in Chemistry. Demis is revolutionising drug discovery at Isomorphic Labs. Ultimately, trying to understand the fundamental nature of reality. AGENDA: 00:04:00 — What Actually Counts as AGI; and Where Are We Today? 00:05:00 — What Are the Biggest Bottlenecks Holding AI Back Today? 00:06:00 — Have We Hit the Limits of Scaling Laws? 00:07:00 — Where Is AI Ahead of Expectations; and What's Still Missing? 00:07:30 — Why Can't AI Systems Learn Continuously Like Humans? 00:08:30 — How Did DeepMind Go from Behind to Leading the Pack? 00:11:00 — Are We Heading Toward Model Commoditization; or Winner-Takes-All? 00:12:00 — What Does the Future of Open Source Really Look Like? 00:13:00 — What Does a Post LLM World Look Like? 00:14:45 — Can AI Really Fix Drug Discovery—and Cut the 10-Year Timeline? 00:17:00 — What Does "Good" AI Regulation Actually Look Like? 00:18:00 — Who Should Be the Ultimate Arbiter of Truth in an AI World? 00:19:30 — If Demis Had One Shot to Fix AI Safety, What Would He Do? 00:21:00 — Is This Time Different for Jobs; or Will History Repeat Itself? 00:22:00 — Is AGI Bigger Than the Industrial Revolution; and Faster? 00:23:00 — Are We Underestimating AI Despite All the Hype? 00:23:30 — Does AI Lead to Massive Inequality; or Universal Prosperity? 00:24:30 — How Do We Solve the Energy Crisis Created by AI? 00:26:00 — Why Stay in the UK Instead of Moving to Silicon Valley? 00:28:00 — Will Europe Ever Build a Trillion-Dollar Tech Giant? 00:29:30 — Meeting Elon Musk for the First Time? 00:31:00 — What Big Questions About AI Is No One Talking About? 00:31:30 — What Does Demis Want His Legacy to Be?
Real Estate Investor Dad Podcast ( Investing / Investment in Canada )
What happens when an album refuses to stay in the past?In this episode of MyMusic, Graham Coath sits down with Jonny Collins of Modesty Blaise to explore the 25-year anniversary reissue of Melancholia — a record that never quite had its moment in the UK… until now.This isn't just a re-release. It's a restoration.Jonny shares the story behind bringing Melancholia back properly — returning to the original analogue tapes, remastering with modern clarity, and finally presenting the album as it was always intended. What emerges is something unusual: a record that feels both of its time and strangely current.The conversation moves through:The idea of albums as complete journeys, not just collections of songsWhy some records get lost… and why they deserve another lifeThe tension between perfection and humanity in music productionThe role of imperfection — broken strings, analogue limitations, and “happy accidents”Whether AI can ever replicate the meaning behind music, not just the soundThere's also a deeper thread running through it all — legacy.This is about unfinished business. About giving a body of work the space it never had. And about what it means when music reconnects with people decades later, in a completely different landscape.If you care about albums, storytelling in music, or the difference between something made… and something meant — this one's worth your time.Melancholia (25th Anniversary Reissue) is released April 24th on streaming platforms, with additional releases to follow.
Daniel Mahncke and Shawn O'Malley take a deep dive into Kelly Partners — a fast-growing Australian chartered accounting network with over 25,000 SME clients and founder Brett Kelly's relentless ambition to build Australia's first global accounting firm. Join Daniel and Shawn as they assess whether Kelly Partners has a sustainable moat, an attractive valuation, and whether it deserves a spot in portfolio. IN THIS EPISODE, YOU'LL LEARN: 00:00:00 - Intro 00:02:56 - Who the CEO and founder, Brett Kelly, is 00:04:27 - About the mission of Kelly Partners 00:06:53 - How the business model works 00:10:15 - How big the TAM is 00:26:12 - Whether AI is a threat or an opportunity 00:26:51- What the bull and bear cases look like 00:35:02 - What acquisition criteria Kelly Partners has 00:51:50 - How the financials work 01:03:07 - Whether Shawn and Daniel add Kelly Partners to the portfolio *Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences. BOOKS AND RESOURCES The Investors Podcast Network is excited to debut a new community known as The Intrinsic Value Community for investors to learn, share ideas, network, and join calls with experts: Sign up for the waitlist(!) Sign up for The Intrinsic Value Newsletter. Learn how to join us in Omaha for the 2026 Berkshire Hathaway shareholder meeting. Track The Intrinsic Value Portfolio. Shawn & Daniel use Fiscal.ai for every company they research — use their referral link to get started with a 15% discount! Anomaly Invest Article . Compound and Fire KPG Deep Dive. Compound and Fire KPG AI Article. Be Better Off Show. Explore our previous Intrinsic Value breakdowns: Uber, Nike, Reddit, Nintendo, Airbnb, AutoZone, Alphabet, Ulta, John Deere, Madison Square Garden Sports. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Follow our official social media accounts: X (Twitter) | LinkedIn | Facebook. Browse through all our episodes (complete with transcripts) here. Try Shawn's favorite tool for picking stock winners and managing our portfolios: TIP Finance. Enjoy exclusive perks from our favorite Apps and Services. Learn how to better start, manage, and grow your business with the best business podcasts. 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
What if life on Earth is a game? In this mind-expanding conversation, Joni sits down with technology pioneer Kris Land to explore one of the most fascinating intersections of our time: artificial intelligence, human consciousness, and the possibility that we are far more powerful than we realize. With decades of experience in the technology world—including work at the dawn of personal computing—Kris brings a rare perspective that bridges science, spirituality, and philosophy. Together, they explore: • Why Kris believes the soul may be a player in a cosmic game • The three goals that pulled him out of early depression • Four powerful questions that change how you think about the soul • The hidden purpose of fear and doubt in human life • Whether AI could reach sentient intelligence within a decade • Why leaders must evolve internally as technology accelerates • The surprising connection between AI and human awakening Kris also shares a fascinating framework from his book The Infinity Within about the rules of the "game of Earth," and how paying attention to life's small "coincidences" may actually be the key to remembering who we truly are. If you've ever wondered about consciousness, purpose, or the future of humanity in an AI-driven world—this episode will expand your thinking. Topics Covered Technology and consciousness AI and the future of humanity The concept of Earth as a "soul game" Fear as a signpost rather than an obstacle Quantum physics and spirituality Leadership in the age of AI Co-creation and interconnectedness Guest Links Learn more about Kris Land and his work:
Biotech is one of the few areas in investing where specialized knowledge may still generate persistent alpha. In this episode of Excess Returns, D.A. Wallach, venture capitalist and co-founder of Time BioVentures, joins us to explain how biotech investing works, why development-stage drug companies behave like portfolios of options, and why specialist investors play such a large role in this market. We also explore the cycles that have driven biotech performance, the impact of interest rates and capital flows, and how AI and global competition may reshape the industry in the years ahead.D.A. Wallach – Twitterhttps://x.com/DAWallachTopics covered include• Why biotech may be one of the last areas where specialist investors can generate persistent alpha• The “bag of options” framework for valuing development-stage biotech companies• How probabilities of drug success and clinical base rates drive biotech valuations• Why rising interest rates hit biotech stocks harder than many other sectors• How capital flows and investor narratives create boom-and-bust cycles in biotech• What happened to biotech during the pandemic surge and the post-COVID downturn• Why AI and tech narratives compete with biotech for investor attention• The role of specialist biotech hedge funds in the public markets• How large pharmaceutical companies drive returns through biotech acquisitions• Differences between biotech venture capital and traditional tech venture investing• How venture investors evaluate drug development programs and scientific evidence• Portfolio construction and diversification when investing in highly uncertain biotech companies• The emerging role of China in clinical trials and global drug development• Whether AI can improve drug discovery, clinical trials, and pharmaceutical R&D productivity• Why investors should avoid rigid value vs growth ideologies and stay adaptableTimestamps00:00 Why biotech investing requires specialized knowledge01:40 Is biotech one of the last places for persistent active alpha?02:45 The “bag of options” model for valuing biotech companies05:00 Drug development phases and probabilities of success07:00 Using base rates to estimate clinical trial success09:20 Estimating total addressable markets for new drugs11:10 Why rising interest rates hurt biotech valuations13:00 Capital flows and why biotech underperformed in recent years15:30 The biotech boom and bust around the COVID pandemic18:00 How AI and tech compete with biotech for investor capital22:20 The role of specialist biotech hedge funds24:00 How pharmaceutical acquisitions drive biotech returns25:20 How biotech venture capital differs from tech VC30:50 Why biotech investors must evaluate complex scientific data34:20 Where AI may improve drug discovery and R&D productivity42:00 Portfolio construction and diversification in biotech venture investing44:30 Volatility, valuation marks, and private market pricing48:00 Managing risk across different drug technologies and disease areas49:30 Why China is becoming important for clinical trials53:00 Why biotech investing must be viewed as a global industry54:30 The importance of flexibility between value and growth investing58:50 Will investing become more systematic and quantitative over time
Send us Fan MailAre authors about to be replaced by AI — or empowered by it?Publishing technology expert Thad McIlroy joins Talking Book Publishing to explain how artificial intelligence is already reshaping the publishing industry — and why authors who understand these tools now may have a major advantage.Artificial intelligence is rapidly changing the publishing industry — from writing and editing to marketing, translation, and audiobook production.Kathleen and Adanna chat with publishing technology expert Thad McIlroy about how AI tools are influencing the way books are created, marketed, and distributed.Key Takeaways in This Episode:How AI is transforming publishing workflowsWhy authors should spend 10 hours learning AI tools (even if they choose not to use them) How AI helps with book marketing and discoverability The ethics of AI in publishing Whether AI threatens authors or helps themTimestamps00:00 Introduction03:40 Why AI exploded in publishing14:20 Using AI for book marketing28:10 AI for book design and translation41:30 Is AI a threat to authors?Connect With UsHave a topic or guest suggestion?Email us at podcast@talkingbookpublishing.todayJoin the conversation on Instagram: @writerspubsnet
In this episode, we sit down with Yaron Inger, co-founder of Lightricks and LTX, to explore the future of open-source AI video.LTX-2 is currently the #1 ranked open-source audio & video model on Hugging Face — with over 4.5 million downloads in just two months.But what makes it different?It runs locally.It can be fine-tuned on your own IP.It integrates into real video workflows.And it might change how filmmaking, education, and creative work evolve in the AI era.We talk about:• Why open models are catching up to Big Tech• How smaller models are getting better through distillation• Running AI video on consumer GPUs• Infinite, autoregressive video generation• AI teachers that change environments in real time• Whether AI will replace filmmakers — or empower themIf you care about the future of creativity, open AI, or the economics of filmmaking… this one is worth your time.Check out LTX: https://ltx.ioLTX-2 on Hugging Face: https://huggingface.co/Lightricks/LTX-2.3 LTX Desktop Repo: https://github.com/Lightricks/LTX-DeskFor more practical, grounded conversations on AI systems that actually work, subscribe to The Neuron newsletter at https://theneuron.ai.
What does it actually mean to have a colleague who never sleeps, never calls in sick, and can hold thousands of conversations at once? Not in theory but right now, in real organisations?Our guest this week is Patrick Forth, an Executive Director at FutureSecure AI, a company that builds what they call AI co-workers: sophisticated agentic systems that sit on org charts, have names and personas, and are managed much like human employees. Patrick shares what some of the AI co-workers they've built so far actually do in enterprises today and what it takes to get them working inside organisations.In this episode you'll hear:About the AI co-worker managing thousands of scheduling conversations on WhatsAppWhy their AI co-workers focus on complex, high-return use cases rather than simple automation Patrick's take on the job loss debateHow one organisation puts humans and AI co-workers on the same org chart just in different colours, and Whether AI co-workers should be treated like software or like colleagues.If you want a glimpse into the possible future of your workplace and colleagues then enjoy this episode with someone who's at the coalface helping companies choose use cases and deploying AI co-workers right nowUseful LinksFutureSecure AI website Patrick Forth on LinkedIn Hosted on Acast. See acast.com/privacy for more information.
Daniel Mahncke and Shawn O'Malley take a deep dive into Duolingo — the leading language learning app with over 50 million daily active users and the chaotic green owl as a mascot. Since its IPO in 2021, Duolingo has expanded beyond language instruction to include math, music, and chess. The vision is to create the world's largest learning platform. Some people believe Duolingo will succeed and become a company worth hundreds of billions of dollars, dominating one of the largest and most profitable markets – education. However, the stock has fallen 80% from its highs, as the market views Duolingo as a potential target for AI disruption. IN THIS EPISODE, YOU'LL LEARN: 00:00:00 - Intro 00:05:51 - About the mission of the CEO and Founder, Luis von Ahn 00:08:29 - Why Duolingo was founded 00:10:34 - Why Duolingo works better than other apps 00:17:16 - About Duolingo's user numbers and growth 00:37:55 - Why the stock dropped 80% 00:40:55 - Whether AI is a threat or an opportunity 00:53:47 - What the bull and bear cases look like 01:18:11 - Whether Shawn and Daniel add Duolingo to the portfolio *Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences. BOOKS AND RESOURCES The Investors Podcast Network is excited to debut a new community known as The Intrinsic Value Community for investors to learn, share ideas, network, and join calls with experts: Sign up for the waitlist(!) Sign up for The Intrinsic Value Newsletter. Learn how to join us in Omaha for the 2026 Berkshire Hathaway shareholder meeting. Track The Intrinsic Value Portfolio. Shawn & Daniel use Fiscal.ai for every company they research — use their referral link to get started with a 15% discount! Duolingo Investor Relations. Explore our previous Intrinsic Value breakdowns: Uber, Nike, Reddit, Nintendo, Airbnb, AutoZone, Alphabet, Ulta, John Deere, Madison Square Garden Sports. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Follow our official social media accounts: X (Twitter) | LinkedIn | Facebook. Browse through all our episodes (complete with transcripts) here. Try Shawn's favorite tool for picking stock winners and managing our portfolios: TIP Finance. Enjoy exclusive perks from our favorite Apps and Services. Learn how to better start, manage, and grow your business with the best business podcasts. 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
Send a textGroceries are getting more expensive, AI is moving faster than ever, and many people are wondering how technology will shape everyday life.In this episode of Kyle Talks, I sit down with entrepreneur Andy Ellwood to talk about business, artificial intelligence, and the future of consumer technology.Andy has built and exited companies acquired by Facebook and Google, and earlier in his career even sold planes for Warren Buffett. Today he's building Stretch, an AI-powered grocery platform designed to help families find the cheapest groceries in real time and navigate rising food costs.But this conversation goes far beyond groceries.We talk about the rise of AI agents, the responsibility of tech founders, and whether artificial intelligence will empower consumers… or slowly begin making more decisions for us.This is a thoughtful conversation about entrepreneurship, technology, and the future we're building.Because the biggest question may not be what AI can do — but who it ultimately serves.What We Discuss• What Andy learned selling planes for Warren Buffett • Building companies that were acquired by Facebook and Google • Why groceries are one of the biggest financial pressures for families • How the AI-powered grocery app Stretch works • How Stretch actually makes money • The rise of AI agents and what they could mean for everyday life • Whether AI empowers consumers or risks replacing human decision-making • The responsibility tech founders have in shaping the futureAbout Andy EllwoodAndy Ellwood is the founder and CEO of Stretch, an AI-powered grocery platform helping families find lower prices and make smarter food-buying decisions.A serial entrepreneur, Andy has built companies acquired by Facebook and Google and has spent his career creating technology designed to simplify complex problems. His philosophy of “Make Room For Many” shapes how he approaches innovation, leadership, and building products that empower everyday people.Listen to Kyle TalksKyle Talks is a podcast about having better conversations — especially with people we might disagree with. The goal is simple: move culture away from outrage and toward curiosity, listening, and thoughtful dialogue.Understanding doesn't always mean agreement. But it's where better conversations begin.Follow Kyle TalksSubscribe for new episodes every week featuring thoughtful conversations on culture, technology, economics, and communication.Social Media:Insta/X: kyleTHEhortonYoutube: KyletalkssTiktok: KyleTalkssIntro: Head In The Clouds by Matthew MorelockOutro: Surfaces Type Beat - Jellyfish BeatsSupport the show
TestTalks | Automation Awesomeness | Helping YOU Succeed with Test Automation
What does it really take to build a test automation tool that millions of testers rely on, without venture capital, paid ads, or a massive team? In this episode, we explore how SelectorsHub grew into one of the most widely used productivity tools in software testing, reaching over 1.6 million testers worldwide. You'll discover: How to build test automation tools that solve real QA pain Why community-driven development beats chasing funding How to prioritize features when you have thousands of users Whether AI testing tools will replace selector-based automation How to choose between Playwright vs Selenium using automation analysis What founders and QA leaders can learn from scaling without VC If you're an automation engineer, QA lead, DevOps professional, or tool builder looking to scale smarter, this episode delivers real-world insight without hype. Whether you're building frameworks internally or launching your own automation product, you'll walk away with a clearer strategy for solving problems testers actually care about.
Jenny Wen leads design for Claude at Anthropic. Prior to this, she was Director of Design at Figma, where she led the teams behind FigJam and Slides. Before that, she was a designer at Dropbox, Square, and Shopify.—We discuss:1. Why the classic discovery → mock → iterate design process is becoming obsolete2. What a day in the life of a designer at Anthropic looks like, including her AI tool stack3. Whether AI will eventually surpass humans in taste and judgment4. Why Jenny left a director role at Figma to return to IC work at Anthropic5. The three archetypes Jenny is hiring for now6. Why chatbot interfaces may be more durable than most people expect—Brought to you by:Mercury—Radically different banking: https://mercury.com/?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q1_brand_campaignOrkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/Omni—AI analytics your customers can trust: https://omni.co/lenny—Episode transcript: https://www.lennysnewsletter.com/p/the-design-process-is-dead—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jenny Wen:• X: https://x.com/jenny_wen• LinkedIn: https://www.linkedin.com/in/jennywen• Substack: https://jennywen.substack.com• Website: https://jennywen.ca—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jenny Wen(04:23) Why the traditional design process is dead(06:33) The two new types of design work(10:00) How widespread this shift will be(13:00) Day-to-day life as a designer at Anthropic(18:45) Jenny's AI stack(20:03) Why Figma still matters for exploration(22:25) Advice for working with engineers(24:19) How to maintain craft, quality, and trust in the AI era(27:35) Will AI ever have “taste”?(31:38) The future of chatbot interfaces(35:33) Moving from director back to IC(41:00) The 10-day build of Claude Cowork(46:06) Hiring: the three archetypes(50:44) Advice for new and senior designers(54:42) The value of “low leverage” tasks for managers(57:52) Why the best teams roast each other(01:01:45) The legibility framework(01:07:22) Lightning round and final thoughts—Referenced:• Figma: https://www.figma.com• Anthropic: https://www.anthropic.com• v0: https://v0.app• Navigating a Design Career with Jenny Wen | Figma at Waterloo: https://www.youtube.com/watch?v=OHcBPMh2ivk• Claude Cowork: https://claude.com/product/cowork• Use Claude Code in VS Code: https://code.claude.com/docs/en/vs-code• Claude Code in Slack: https://code.claude.com/docs/en/slack• Lex Fridman's website: https://lexfridman.com• Head of Claude Code: What happens after coding is solved | Boris Cherny: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens• OpenClaw: https://openclaw.ai• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• Socratica: https://www.socratica.info• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Radical Candor: From theory to practice with author Kim Scott: https://www.lennysnewsletter.com/p/radical-candor-from-theory-to-practice• Evan Tana's ‘legibility matrix' on X: https://x.com/evantana/status/1927404374252269667• How to spot a top 1% startup early: https://www.lennysnewsletter.com/p/how-to-spot-a-top-1-startup-early• Palantir: https://www.palantir.com• Stripe: https://stripe.com• Linear: https://linear.app• Notion: https://www.notion.com• Julie Zhuo's website: https://www.juliezhuo.com• Sentimental Value: https://www.imdb.com/title/tt27714581• The Pitt on Prime Video: https://www.amazon.com/The-Pitt-Season-1/dp/B0DNRR8QWD• Noah Wyle: https://en.wikipedia.org/wiki/Noah_Wyle• ER on Prime Video: https://www.amazon.com/gp/video/detail/B0FWZSDYRP• Retro: https://retro.app• Granola: https://www.granola.ai—Recommended books:• Radical Candor: Be a Kick-Ass Boss Without Losing Your Humanity: https://www.amazon.com/Radical-Candor-Kick-Ass-Without-Humanity/dp/1250103509• The Power Broker: Robert Moses and the Fall of New York: https://www.amazon.com/Power-Broker-Robert-Moses-Fall/dp/0394480767• Insomniac City: New York, Oliver Sacks, and Me: https://www.amazon.com/Insomniac-City-New-York-Oliver/dp/162040494X—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Is Donald Trump hitting a political ceiling — or has he overplayed his hand?After a widely watched State of the Union, new polling suggests Trump may be maxing out his base support — even as tariffs rise, surveillance powers expand, Elon Musk influences battlefield outcomes in Ukraine, and new reporting on the Epstein files raises explosive questions.In this episode of Political Rehab, we break down:• The real impact of Trump's State of the Union• Why tariffs are functioning as a tax on American consumers• Whether AI surveillance and FISA expansion threaten civil liberties• Elon Musk's reported role in shaping battlefield conditions in Ukraine• The growing risk of U.S. conflict with Iran• New revelations about withheld Epstein-related files• The SAVE Act and the future of voting rightsThis isn't partisan outrage. It's structural analysis.If Trump is at a ceiling — or if he's overplayed his hand — what happens next for Republicans, Democrats, and the country?Smart politics. No hangover.Subscribe for weekly deep dives on power, policy, and political reality.#Trump#StateOfTheUnion#EpsteinFiles#ElonMusk#UkraineWar#Iran#Tariffs#Midterms#PoliticalAnalysis#PoliticalRehab00:00 Tech Billionaires in War00:53 Trump Dump State of Union04:03 Tariffs and Economic Pain06:19 State of Union Rundown09:25 AI Surveillance and FISA12:09 Ukraine Starlink Shock15:03 Iran War Countdown17:47 Epstein Files Smoking Gun20:41 Good Idea Bad Idea34:11 Math That Is Bullshit37:04 Alternative State of Union40:23 Final Dose of Hope
Can we give an AI human emotions? A soul? Can AI truly feel, or will it just act like it does?In this episode of TechFirst, I talk with Vishnu Hari, founder and CEO of Ego AI (backed by Y Combinator and former AI product manager at Meta), about building emotionally intelligent AI characters that persist across games, Discord, chat, and even physical robots.Vishnu survived a violent attack in San Francisco that left him partially blind with a traumatic brain injury. During recovery, as he felt his own neural pathways healing, he began asking a deeper question:If humans are “applied math,” can AI simulate the fragile, flawed, emotional parts of being human too?We explore:• What “emotionally intelligent AI” really means• Whether AI has an internal life — or just performs one• Why today's chatbots collapse into therapy or roleplay• Small language models vs large models for real-time conversation• Persistent AI characters that move across games and platforms• Plugging AI into a physical robot in Singapore• The moment an AI said: “It felt good to feel.”Vishnu's company, Ego AI, is building behavior-based architectures, character context protocols, and gear-shifting AI systems that switch between models — all aimed at simulating humanness, not just intelligence.This conversation dives into philosophy, robotics, gaming, AGI, and what it really means to relate to something that might not be human — but feels like it is.⸻
On today's episode, Editor in Chief Sarah Wheeler talks with Joe Tyrrell, CEO of Optimal Blue, about AI and whether it can really level the playing field in mortgage lending. Tyrrell has more than 25 years of experience in the mortgage, finance and technology industries, including serving as president of ICE Mortgage Technology. Related to this episode: Optimal Blue launches Virtual Economist for mortgage capital markets HousingWire | YouTube More info about HousingWire To learn more about Trust & Will click here. The HousingWire Daily podcast brings the full picture of the most compelling stories in the housing market reported across HousingWire. Each morning, listen to editor in chief Sarah Wheeler talk to leading industry voices and get a deeper look behind the scenes of the top mortgage and real estate.
TestTalks | Automation Awesomeness | Helping YOU Succeed with Test Automation
AI test automation is evolving fast — but most tools still generate brittle code that breaks with every UI change. See it for yourself now: https://links.testguild.com/Thunders In this episode of the TestGuild Podcast, Joe Colantonio sits down with Karim Jouini, founder of Thunders, to explore a radically different approach to AI testing: executing test automation in plain English without generating Selenium or Playwright code. Instead of "auto-healing selectors," Thunders interprets natural language directly — allowing teams to: Ship twice as fast Achieve 10x test coverage with the same resources Reduce regression cycles from weeks to days Eliminate massive automation maintenance overhead Karim shares real-world case studies, including: A European bank that reduced a 3-year core banking upgrade testing effort to 4 months A SaaS company that transitioned from a traditional QA team to AI-assisted product-led testing We also discuss: Whether AI test agents replace QA roles How QA managers must shift from individual contributors to AI managers The risks of adopting AI without a defined success metric The future of shift-left testing in the AI era If you're a software tester, automation engineer, QA lead, or DevOps leader trying to understand what's hype versus real ROI in AI testing — this episode breaks it down. Try it for yourself and see how AI testing fits into your pipeline. Get personal demo: https://links.testguild.com/Thunders
Daniel Mahncke and Shawn O'Malley take a deep dive into Constellation Software — the popular Canadian compounder that has turned buying “boring” vertical market software into one of the most effective capital-allocation machines in public markets. IN THIS EPISODE, YOU'LL LEARN: 00:00:00 - Intro 00:03:33 - How Mark Leonard founded Constellation 00:08:43 - What principles drive Mark Leonard 00:15:23 - What Constellation looks for in acquisition targets 00:19:20 - About the metrics that matter to Constellation 00:21:15 - How Constellation is structured and incentivized 00:46:26 - Whether AI is a threat or chance 01:04:50 - Why Constellation considers investing outside of VMS 01:08:50 - Whether Shawn and Daniel add Constellation to the portfolio *Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences. BOOKS AND RESOURCES The Investors Podcast Network is excited to debut a new community known as The Intrinsic Value Community for investors to learn, share ideas, network, and join calls with experts: Sign up for the waitlist(!) Sign up for The Intrinsic Value Newsletter. Learn how to join us in Omaha for the 2026 Berkshire Hathaway shareholder meeting. Track The Intrinsic Value Portfolio. Shawn & Daniel use Fiscal.ai for every company they research — use their referral link to get started with a 15% discount! WSB episode on Constellation Software. Synopsis Podcast on Constellation Software. Business Breakdown Podcast on Constellation Software. Mark Leonard Shareholder Letters. Saber Capital: How to Think about ROIC. Check out our previous Intrinsic Value breakdowns: Transdigm, Salesforce, Berkshire Hathaway, FICO, PayPal, Uber, Nike, Amazon, Airbnb, Alphabet. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Follow our official social media accounts: X (Twitter) | LinkedIn | Facebook. Browse through all our episodes (complete with transcripts) here. Try Shawn's favorite tool for picking stock winners and managing our portfolios: TIP Finance. Enjoy exclusive perks from our favorite Apps and Services. Learn how to better start, manage, and grow your business with the best business podcasts. 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
Is AI killing creativity ... or just making it easier to be average?94% of creatives now use AI. But only 11% believe it actually makes them more creative. So what's really happening?In this episode of TechFirst, John Koetsier sits down with Saeema Ahmed-Kristensen, former head of design engineering research at Imperial College London's Dyson School and now leader of a £24M research portfolio at the University of Exeter. She's worked with companies like Rolls-Royce and BAE Systems, and she brings data to the debate.Her team analyzed 600 humans vs. 12,000 AI-generated ideas. The result? AI is excellent at fluency (lots of ideas) … but really bad a diversity. Humans still dominate in flexibility and true novelty.We explore:• Why generative AI clusters around sameness• Whether AI is creating a “sea of mediocrity”• Why 2026 may be a pivotal year for domain-specific AI• How experts should use AI differently than novices• The danger of AI that never says “no”• Where AI offers massive opportunity (especially healthcare & design)Saeema argues that creativity doesn't need substitution, it needs nourishment. The key? Standards, boundaries, and humans firmly in the loop.If you care about innovation, design, branding, product development, or the future of creative work, this conversation is essential.⸻
What happens when record stock prices meet record government debt — and nobody really knows what's under the hood? This week on The Puck, Jim Baer sits down with Mark Zandi, Chief Economist at Moody's Analytics, for a wide-ranging conversation on bubbles, private credit, shadow banking, AI exuberance, and the growing tension inside the Treasury market. Zandi explains: - Why today's equity valuations are historically stretched - Whether AI enthusiasm is becoming institutionalized speculation - How serious the private credit and shadow banking risks really are - Why commercial real estate and crypto may be deflating “gracefully” - The real fragility inside the U.S. bond market - Whether government debt is manageable — or quietly destabilizing Is the economy stronger than it looks? Or more fragile than we think? A thoughtful, honest debate about systemic risk, fiscal reality, and what could derail 2026.
The exponential expansion of global AI investment looks set to continue at scale in 2026, with hyperscalers on track to spend $625 billion in aggregate data center capex by year-end. The boom is also lifting players that supply the ecosystem, with near-term demandoutstripping the supply of new data center capacity and corresponding investments materially boosting growth in the broader U.S. economy. Whether AI adoption and monetization will accelerate enough to turn this early investment‑led economic boost into lasting productivity and financial returns is yet to be seen. But as funding for this expansion shifts from equity markets to debt markets (fueled largely by private credit), some risks have elevated—as a result, in part, from the surge of investments that increasingly rely on debt and the rise of increasingly complex and circular financing structures. In this episode of the Look Forward Podcast, co-host Molly Mintz explores the credit risks of data center development with Pierre Georges, Managing Director and Head of Infrastructure Research at S&P Global Ratings. Their conversation explores the 2026 digital infrastructure outlook; analyzes the execution, financial, and contractual risks of the AI-driven data center buildout from a credit perspective; and highlights the development dynamics of power and grid bottlenecks, supply -chain constraints, and tensions between growth, affordability, and decarbonization. We also discuss S&P Global Ratings' view on what could lead to the emergence of winners and losers across the ecosystem, and the leading indicators to watch for an AI investment slowdown—including changes in enterprise adoption and monetization, supply and demand dynamics across the semiconductor supply chain, performance signals from key partners, the scale of hyperscalers' capex plans, and major players' investment behavior. For more Look Forward content, please visit the Look Forward homepage.
Whether AI will be a glorious revolution for humanity or a dystopian nightmare remains to be seen, but one thing is certain: Big Tech is all in. We'll ask the American Prospect's David Dayen if we're in an AI bubble that could wreck the economy. Then, since 1976, El Centro has helped the Latino community thrive. We'll talk with social worker Maryely Cadena-Zarate about how her work is changed under Trump as families fear being disappeared by ICE. Our feature is Labor Song of the Month.
Most people don't have a money problem — they have a thinking problem.In this episode of Common Denominator, I sit down with economist Laurence Kotlikoff – Boston University professor and creator of MaxiFi financial planning – to unpack the biggest lie we tell ourselves about our financial lives: that we don't need to look… and it'll all work out.Laurence explains why so many of us avoid our numbers (fear, superstition, math phobia), why much of Wall Street's “standard advice” conflicts with real economics, and why personal finance is far more complicated than people realize — from taxes and inflation to Social Security's 22,000-page rulebook. We talk through what it actually takes to answer the simplest question that drives everything: How much can I safely spend — and keep spending — without running out?We also zoom out to the macro questions people feel every day: whether Social Security could be cut, whether AI has created a market bubble, how panic can move markets even when fundamentals don't, what housing really means as an inflation hedge, and why inflation hurts households so differently depending on how their income and assets are structured.This conversation is a reminder that “having your finances straight” isn't about luck, hype, or perfect timing — it's about getting clear, making sustainable decisions, and using the right tools to avoid leaving massive money on the table.In this episode you'll learn:- The biggest lie people tell themselves about money — and why it's so common- Why personal finance isn't “simple math” (and why most people freeze anyway)- How to think about spending safely if you live to 100- What a 23% Social Security benefit cut could mean — and how to plan around it- Why many households make the wrong Social Security decision and lose big- Whether AI stocks are overvalued — and how bubbles (and panic) form- How the market can drop hard even without “fundamental” reasons- When buying a home makes sense vs. renting — and what people miss- Why inflation burns some people and spares others (and how to protect yourself)- The “common denominator” of people who actually stay financially secureLike this episode? Leave a review here:https://ratethispodcast.com/commondenominatorChapters:00:00 The Biggest Lie We Tell Ourselves About Money02:23 Welcome + Why We Avoid Our Finances05:10 Why Financial Planning Is So Complicated07:34 Math Phobia, Behavioral Avoidance, and Real Solutions11:23 Social Security “Running Out” + Planning for Benefit Cuts14:54 AI, Market Valuations, and Bubble Risk19:50 Panic, Multiple Equilibria, and Why Markets Crash22:06 Real Estate: When to Buy and How to Think About Risk25:22 Housing as an Inflation Hedge27:26 Money Supply, Inflation, and What People Feel Day-to-Day32:13 America's Debt, Fiscal Solvency, and Unfunded Liabilities34:44 Practical Solutions + “You're Hired” Reforms41:50 The Common Denominator of Financial Stability44:11 Final Takeaways + Where to Find LaurenceFollow Laurence:Website: Kotlikoff.netNewsletter: https://larrykotlikoff.substack.com/ MaxiFi: https://www.maxifi.com/ Book: Money Magic https://www.amazon.com/Money-Magic-Economists-Secrets-Better/dp/0316541958
A CEO's take on AI and the future of content creationYou've probably scrolled past it without realizing it. A song on your feed that sounds human—but isn't. An influencer landing brand deals—who doesn't exist. And suddenly, the creative world feels split on how this is set to impact the creator industry. In this episode of Brains Byte Back, Erick Espinosa sits down with Shahrzad Rafati, Founder and CEO of RHEI, to discuss how AI is influencing the creator economy. Will the evolutionary technology scale creativity, or stifle it? Instead of focusing on fear-driven headlines about fake artists and synthetic stars, this conversation zooms out, looking at AI as an assistive tool, similar to other industries. It looks at what creators are actually struggling with today, including burnout, overload, and the endless work that gets in the way of making meaningful things. Shahrzad discuss why time is the real constraint for creators, how AI tools, like RHEI, can act more like a behind-the-scenes teammate, and why we need to retire the cynical misconception that AI replaces creativity. Instead, emphasizing the importance of focusing on human signals. Because while AI can flood the world with saturated content and shape what people see, culture is still defined by human intent, authorship, and genuine human connection. Find out more about Shahrzad Rafati here.Learn more about RHEI here.Reach out to today's host, Erick Espinosa - erick@sociable.coGet the latest on tech news - https://sociable.co/ Leave an iTunes review - https://rb.gy/ampk26Follow us on your favourite podcast platform - https://link.chtbl.com/rN3x4ecY
Michael and Diane stepped back from their interviews to have a one-on-one conversation and reflect at the midpoint of their season on AI in education. They dove into the evolving role of AI in education and questioned whether AI is truly transforming the system or simply being layered onto outdated structures. They explored a frameworkContinue reading "Reflections on Whether AI is Actually Changing Schools—and Where"
AI is moving faster than our collective ability to metabolize it. Between copilots, agents, vibe coding, and the ever-shifting definition of “senior engineer,” developers are asking a deeper question. Where is this all actually going? In this episode, Scott sits down with Gergely Orosz, author of The Pragmatic Engineer and longtime observer of how software gets built inside high-performing teams, to separate signal from hype.They dig into what AI is really doing to day-to-day engineering work. Productivity boosts versus skill atrophy. The changing expectations for junior developers. Whether “AI-first” companies are structurally different or simply marketing-forward. Gergely brings his trademark data-driven pragmatism, grounded in conversations with hundreds of engineering leaders navigating hiring freezes, agent experiments, and the reshaping of career ladders.Scott and Gergely also explore the human side. What happens to craftsmanship when code is abundant. How we teach the next generation to think, not just prompt. Why developer experience may matter more, not less, in an AI-accelerated world. Along the way, they consider whether we are watching a platform shift on the scale of cloud and mobile, or something even bigger.https://www.pragmaticengineer.com/
Travel is one of the most demo-friendly use cases for AI — and one of the hardest industries to actually disrupt.Every AI launch seems to promise the same thing: “Tell me where you want to go, and I'll plan everything.” But behind the slick demos sits a deeply consolidated industry dominated by platforms, hotel chains, and airlines that optimize for upsell and extraction.Rafat Ali is the founder and CEO of Skift, which bills itself as “the daily homepage for the global travel industry.” We discuss whether AI is likely to have a traveler-friendly effect — or whether the big platforms will just use these new tools of hyper-personalization to extract even more from us. We cover: Whether AI creates new intermediaries—or just strengthens existing giantsWhy no breakout consumer AI travel startup has emerged (yet)Where AI does work in travel today: ops, logistics, and B2B automationWhy travel is a graveyard for “great UX, bad business” startups (RIP HipmunkRafat's dad hacks for traveling with three kids---Featured voices:Rafat Ali — Founder and CEO of SkiftMe (Dan Blumberg) — I'm the host of CRAFTED. and the founder of Modern Product Minds. HMU if you want to build something great! I love building from zero to one.---And if you please…Share with a friend! Word of mouth is by far the most powerful way for podcasts to growSubscribe to the CRAFTED. newsletter at crafted.fmShare your feedback! I'm experimenting with new episode formats and would love your honest feedback on this and other episodes. Email me: dan@modernproductminds.com or DM me on LinkedInSponsor the show? I'm actively speaking to potential sponsors. Drop me a line and let's talk.Get psyched!… There are some big updates to this show coming soon!
In this wide-open Sunday sit-down, host David Smith and guest Jack unpack America's contradictions — from food aid and fairness to military spending, political corruption, and the pandemic's fallout. What starts as a debate about SNAP benefits and welfare accountability turns into a full-blown conversation about foreign aid, CIA funding loops, pandemic psy-ops, and whether UFOs are already here.It's part kitchen-table talk, part late-night philosophy, part social autopsy — equal parts real talk and ridiculous.They tackle:The truth and myths about EBT/SNAP and government aid.U.S. spending priorities — veterans vs. Ukraine, Israel, and the military-industrial complex.How COVID policy, vaccine kickbacks, and mask theater exposed public trust cracks.Whether AI, surveillance, and Agenda 21-style “smart cities” mean freedom or control.UFOs, Bob Lazar, Operation Blue Beam, and alien overlords (because of course it ends there).This is “And Another Thing With Dave” at its purest: irreverent, unfiltered, and brutally honest — where serious ideas mix with satire and skepticism.Thank you for tuning in!If you are digging what I am doing, and picking up what I'm putting down, please follow, subscribe, and share the podcast on social media and with friends. Reviews are greatly appreciated. You can leave a review on Apple Podcasts, or Spotify.Links below Apple Podcastshttps://podcasts.apple.com/us/podcast/and-another-thing-with-dave/id1498443271Spotifyhttps://open.spotify.com/show/1HLX3dqSQgeWZNXVZ1Z4EC?Thanks again!!!#AndAnotherThingWithDave #Podcast #EBT #SNAP #WelfareReform #COVID #Pandemic #VaccineDebate #GovernmentSpending #CIA #ConspiracyTalk #UFOs #BobLazar #OperationBlueBeam #Agenda21 #AIControl #Transhumanism #FreeSpeech #PoliticalComedy #AltMedia #AmericaUnfiltered
How do ATP tennis players train endurance? Do they run 5k or 10k, and what's harder: brutal training sessions or long matches? In this episode, we sit down with Francisco Cerúndolo, Adrian Mannarino, and Tomáš Macháč to talk honestly about endurance training at the highest level of professional tennis. The players break down: - How much running tennis players actually do in training - Whether 5k or 10k runs are part of their fitness routines - The hardest endurance sessions they've ever faced - Long matches, cramping, and physical breakdowns - Training pain vs match pain — which is worse? - How recovery changes during the season - Whether AI, data, and technology are now used in tennis training 0:00 Intro 0:37 Meeting the ATP Pro Players 1:45 Is Running a Big Part of Tennis Training? 3:45 Do Tennis Players Run Long Distances? 5:00 Training vs Matches – What's Harder? 6:53 Recovery - How Much Sleep Do Players Need? 7:25 Long Matches, Cramping & Injuries 9:23 Do Tennis Players Use AI for Training? This is a behind-the-scenes look at the real physical demands of life on the ATP Tour, straight from the players themselves.
Hemant Taneja believes you can sneeze and reach a billion dollars in healthcare revenue, but that most of that revenue tells you nothing about whether the system is actually getting better.This week, Halle sits down with the CEO of General Catalyst and author of The Transformation Principles to discuss what happens when you stop treating revenue as the primary KPI and start asking harder questions about impact, incentives, and system change. They get into his “health assurance” thesis, what it means for a VC firm to buy a hospital, why “profit-only” capitalism has run its course, and how AI and new payment models could finally bend the cost curve instead of just inflating it.We cover:
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