Podcasts about Spark

the girlies are still on their staycation and spending a lot of introspective time pondering how to be better and improve life. send us your gossip stories or ask for advice!call the PP hotline 323-577-8857 or email us at stayinguppod@gmail.comJoin our Patreon: http://patreon.com/StayingUpJoin our Discord: https://discord.gg/am5t7kZTdRCam's shopmy https://shopmy.us/cammiescottTar's shopmy https://shopmy.us/tarynarnoldscottListen: https://stayingup.lnk.to/listenFollow: Instagram: https://www.instagram.com/stayinguppodFollow Cam: https://www.instagram.com/cammiescott/Follow Tar: https://www.instagram.com/thetarynarnold/Contact for business inquires only:stayinguppod@gmail.com Hosted on Acast. See acast.com/privacy for more information.

Welcome to the Paint The Medical Picture Podcast, created and hosted by Sonal Patel, BA, CPMA, CPC, CMC, ICD-10-CM.Thanks to all of you for making this a Top 15 Medical Billing & Coding Podcast for 5 years on Feedspot.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sonal's 17th Season starts up and Episode 4 features Newsworthy updates on the month's fraud, waste, and abuse cases. Sonal's Trusty Tip and compliance recommendations focus on surgical dressings.Spark inspires us all to reflect on beauty, abundance, and innovation based on the inspirational words of Vincent Van Gogh.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Paint The Medical Picture Podcast now on:Spotify:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6hcJAHHrqNLo9UmKtqRP3X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/paint-the-medical-picture-podcast/id153044217⁠7⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazon Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://music.amazon.com/podcasts/bc6146d7-3d30-4b73-ae7f-d77d6046fe6a/paint-the-medical-picture-podcas⁠t⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Find Paint The Medical Picture Podcast on YouTube:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCzNUxmYdIU_U8I5hP91Kk7A⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Find Sonal on LinkedIn:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/sonapate/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠And checkout the website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://paintthemedicalpicturepodcast.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you'd like to be a sponsor of the Paint The Medical Picture Podcast series, please contact Sonal directly for pricing: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PaintTheMedicalPicturePodcast@gmail.com

Alex & Ty discuss some very early reactions to Spring Training and how Matt Shaw's new approach could have huge dividends in 2026. Then, the guys talk about the brand new PCA article that came out!PCA article: https://www.chicagomag.com/chicago-magazine/march-2026/welcome-to-the-pca-show/https://www.chicagomag.com/chicago-magazine/march-2026/welcome-to-the-pca-show/Support this Show and Your Health! 15% Off Spark (Instructions: after clicking on the link, click on the "Energy" tab to find Spark: https://www.advocare.com/home/?D=130822575FREE Cubs Talk Facebook Group: https://www.facebook.com/groups/cubstalkGo to www.setupman.net and subscribe to our mailing list to become a part of Setup Man Nation so you never miss a show! We also do free giveaways for those who are on our list!Check us out on social media:Instagram: https://bit.ly/setupmaninstaTwitter: https://bit.ly/setupmantwitter

the girlies are still on their staycation and spending a lot of introspective time pondering how to be better and improve life. send us your gossip stories or ask for advice!call the PP hotline 323-577-8857 or email us at stayinguppod@gmail.comJoin our Patreon: http://patreon.com/StayingUpJoin our Discord: https://discord.gg/am5t7kZTdRCam's shopmy https://shopmy.us/cammiescottTar's shopmy https://shopmy.us/tarynarnoldscottListen: https://stayingup.lnk.to/listenFollow: Instagram: https://www.instagram.com/stayinguppodFollow Cam: https://www.instagram.com/cammiescott/Follow Tar: https://www.instagram.com/thetarynarnold/Contact for business inquires only:stayinguppod@gmail.com Hosted on Acast. See acast.com/privacy for more information.

Join the community or follow on socials https://www.bringsoul.life/portal/sundazedkk

Send a textToday we're diving right into book three in The Plated Prisoner Series by Raven Kennedy: Gleam. This book has one of the most satisfying character arcs we've ever read, culminating in an ending we never saw coming. If you enjoy a good feminine rage story, prepare yourself to experience one of the most impactful instances of that trope in any Romantasy we've read to date! We give you our spoiler free star and spice ratings and faves and fails, then dive into the five sentence summary, the tea on the audiobook and all our unfiltered thoughts, and then discuss why and how fantasy books can help us process hard things and inspire us to believe in our inner strength and ability to grow into the powerful beings we're meant to be. Did we find Easter eggs? Do we have unanswered questions? What about plot holes? Are we excited to read the next one? We dive into all this and more, plus a fave and fail about Wuthering Heights, Lord of the Rings, and Molly Moonplume.Don't be shy, subscribe! New Podcasts every Tuesday!! (And sometimes Friday!…)Shop our Merch line | *  https://besties-and-the-books-shop.fourthwall.comCheck out these narrator interviews? ⬇️Anthony Palmini gives us the lowdown on what it's like to voice act Rhysand, Kingfisher, AND Slade Ravinger! https://youtu.be/zcCyrlZ5Jcc?si=2k7ULbRPgZl_5pUJCheck out these author interviews? ⬇️Penn Cole talks with us about Strong Female Characters, Feminist Themes, and her debut bestselling Spark of the Everflame Series! https://youtu.be/7ukNImyoObw?si=7C3Y9kOUMN4hfcKbWe interviewed Callie Hart all about her NYT Bestseller Quicksilver! Watch it here! https://youtu.be/CED5s7qDBdQ?si=8xtIRO1IzX6Rsld4Check the official Follow Up Author Interview with Lindsay Straube of the Split or Swallow Universe all about Between Two Kings! https://youtu.be/OW1cxXTVcTc?si=oOxVIzbIheET_bNE____Shop Bookish Merch we are wearing:Ashley is wearing: The Last Bookstore sweater from @TheLastBookstore in LALiz is wearing :  A Feminine Rage Crewneck by @darkanddisturbedshop | Code: VEGAN10 | https://darkanddisturbedshop.com/products/rage-crewneck?_pos=2&_sid=221487d37&_ss=rAny link with an * is an affiliate link through the service Magic Links and is eligible for a commission to us with no extra cost to you. Thank you for helping support our podcast!Support the showYouTube | TikTok | Instagram | Podcast Platforms@BestiesandtheBooksPodcast Besties and the Book Club on Fable!https://fable.co/bestiesandthebookclub-474863489358Liz Instagram | TikTok@TheRealLifeVeganWife AshleyInstagram | TikTok@AshleyEllix

Recording from Eagle River, Wisconsin closing the first US ORIN Retreat co-led with Devon Wyland, Sophie Vo Vo reflects on feminine–masculine polarity in leadership and why this theme is triggering, at the moment.Sophie describes masculine leadership as structure, boundaries, control (and when imbalanced, dominance, aggression, and competition) and feminine leadership as flow, intuition, and emotional attunement—qualities she says are often missing at workplaces. She notes many women leaders have learned to lead through masculine models, which can be exhausting and can hide feminine power, while in business operations many women lean too far into unstructured feminine flow when building a business requires masculine structure, method, discipline, and strong boundaries. This podcast reflection invites both women and men to develop missing parts of their polarity: women reconnecting to feminine presence without shame or stereotypes, and men cultivating empathy, listening, and emotional presence rather than outsourcing emotional labor to women. Sophie shares her personal journey of being raised in a performance-driven, competitive, controlling environment, feeling uncomfortable in women's spaces, and later reconnecting to her feminine side to lead and build her work from authenticity, truth, and soul alignment rather than performance. The episode closes with reflection prompts to identify where listeners are overdeveloped (masculine force/control or feminine lack of structure), suggestions to rebalance through learning structure or practicing softness and imperfection, and a short grounding meditation focused on breath, sensory awareness, and a held inhale. 00:00 Welcome to A Spark of Awareness (Why inner authority matters)02:44 Feminine & Masculine in leadership: Why this theme triggers us05:02 Redefining the feminine leadership: Presence, authenticity, and trust07:15 The reversal for women: Masculine presence, feminine business ops09:22 My personal journey: From performance to feminine reconnection11:23 Practical reflection: Diagnose your polarity + rebalance practices13:06 Guided grounding meditation (breath + senses)15:05 Closing: Next retreats, integration prompt, and how to connectRecommended Books on Feminine Leadership

SBS Finance Editor Ricardo Gonçalves speaks with David Scutt from StoneX Group Inc. about the day's market action, including how Trump's tariffs are causing a fresh wave of uncertaintly, plus why investors are keeping a close eye on the private credit markets

In this deeply personal episode, my love Jon and I sit down together to talk about the music that mirrors our journey — especially his latest single release, Free Fall (coming out Feb 28th): https://ditto.fm/free_fall_746ce4c9We explore how the song was written, what it represents, and how creativity becomes a living thread inside our relationship. This conversation moves beyond music into something more intimate: how two creators met and fell in love. We talk about:• The story behind Spark in the Dark (Jon's first album)• How Jon nearly died from toxic mold illness• Building love during life transitions• Holding space for each other's becoming• Creativity as devotionThis episode is raw, reflective, and real. If you've ever fallen in love during a threshold moment… if you've ever found light when everything felt uncertain… this one is for you.Listen to Spark in the Dark:https://ditto.fm/spark-in-the-dark---SPONSOR: AirDoctor comes with a 30-day money back guarantee so if you don't love it, just send it back for a refund, minus shipping!Head to airdoctorpro.com and use promo code MANIFEST and you'll receive UP TO $300 off air purifiers! Exclusive to podcast customers, you will also receive a free 3 year warranty on any unit, which is an additional $84 value! Lock this special offer by going to A-I-R-D-O-C-T-O-R-P-R-O dot com and use promo code MANIFEST

Ever wondered if you can just "vibe" your way into a life-altering manifestation, or if there's a secret recipe tucked away in a dusty grimoire? Tahverlee pulls back the velvet curtain on what it actually takes to move the needle in your spiritual practice.Is intuition the main event, or just the sparkly garnish? We're diving deep into the alchemy of soul and structure.

With the signing of Michael Conforto to an MiLB contract, the Cubs now have 4 players competing for the final bench role. Who will/should claim this last spot? Support this Show and Your Health! 15% Off Spark (Instructions: after clicking on the link, click on the "Energy" tab to find Spark: https://www.advocare.com/home/?D=1308... FREE Cubs Talk Facebook Group: / cubstalk Go to www.setupman.net and subscribe to our mailing list to become a part of Setup Man Nation so you never miss a show! We also do free giveaways for those who are on our list! Check us out on social media: Instagram: https://bit.ly/setupmaninsta Twitter: https://bit.ly/setupmantwitter

The market is “seeking out existential threats” around AI and tech, argues Scott Ladner. “Fundamentally, [the AI revolution] will be a good thing,” he adds, anticipating it to add jobs in the future and spark an entrepreneurial boom. He thinks we will see a couple of rate cuts this year, and anticipates a “boring Fed” after Warsh is confirmed as Fed Chair. His picks right now include financials, cyclicals, and emerging markets. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Prince Harry has reportedly softened his once rigid stance on keeping Prince Archie and Princess Lilibet completely out of the public eye, aligning more closely with Meghan's controlled and curated visibility strategy. Sources claim Meghan has even received informal brand guidance from Kris Jenner. In a separate development, Meghan is said to be advising Brooklyn Beckham to consider a structured interview — possibly with Oprah Winfrey — following his public family allegations, arguing that narrative control matters. Meanwhile, reports of detailed conditions tied to a possible UK return in 2026, including security demands and accommodation preferences, have unsettled palace aides. Add in renewed scrutiny over Meghan's NBA outing jewellery and body language analysis, and the Sussex spotlight shows no signs of dimming.Get episodes of Palace Intrigue by becommming a paid subscriber on Apple Podcasts. Click the button that says uninterrupted listening.  Just $5 a month, and that includes many ofther shows on the Caloroga Shark network.Royal Books:William and Catherine: The Monarchy's New Era: The Inside StoryThe Royal Insider: My Life with the Queen, the King and Princess Diana

Dočkáme se Windows 12? A vlastně – zajímá to ještě někoho? Není verzování operačních systémů už stejně abstraktní a nic neříkající záležitost jako číslování webových prohlížečů? Ať jsou Windows klidně jaká jsou, ale hlavně bez věčných chyb. A tady Redmond stále selhává. Možná by všem pomohlo, kdyby z nich Microsoft udělal POSIX-like OS. Ideálně Linux. Jistě, byla by to revoluce, bylo by to zpočátku extrémně těžké, ale výhledově by to dávalo ekonomický smysl, když dnes firmu živí hlavně Azure a podnikové aplikace. Tomáš do redakce přivezl kapesní AI superpočítač Nvidia DGX Spark a Kuba jej hned zabavil. Řekneme si, k čemu taková mašinka vlastně je. Tak třeba na ní rozjedete svobodný velký jazykový model GPT-OSS-20B od OpenAI s dvaceti miliardami parametrů, aniž byste propálili výplatu za elektřinu. Má to jen jeden háček. Tahle legrace stojí sto tisíc. Program pořadu 00:29 Bude Windows 12?12:06 Nvidia DGX Spark23:21 Windows na Linuxu

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Mastering Authentic Storytelling in the Age of AI: Insights from Aleya HarrisIn a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Aleya Harris, the strategic storytelling consultant and powerhouse founder behind Aleya Harris, to discuss the evolving landscape of brand authority. As artificial intelligence becomes a standard for content creation, Aleya argues that the "human element"—the raw, lived experiences we often hesitate to share—is the only remaining competitive advantage for leaders and speakers. Their conversation explores how to bridge the gap between digital efficiency and emotional resonance, offering a masterclass in using narrative not just for entertainment, but as a strategic tool for deep audience transformation.Bridging the Gap: Human Experience and Strategic NarrativeThe rise of generative AI has flooded the market with polished, yet often soulless, content, creating a unique opportunity for leaders who are willing to be radically authentic. Aleya explains that the most powerful stories are often the ones we are most afraid to tell; these are the narratives that forge genuine trust because they reveal the vulnerability and resilience that machines simply cannot replicate. However, authenticity without strategy is merely oversharing. To be effective, a story must be shaped into a "controlling idea" that serves the audience's needs, transforming personal adversity into a roadmap for the listener's own success. By focusing on the intersection of personal truth and audience pain points, speakers can command attention in a way that automated scripts never will.Achieving this balance requires a disciplined approach to storytelling, moving through stages of self-reflection, structural clarity, and intentional delivery. Aleya advocates for "living first and telling second," suggesting that the best brand narratives are mined from actual pivotal moments—mistakes made, financial shifts, or personal transformations. Once these raw moments are identified, the next step is to apply stagecraft and strategic pitching. It is not enough to have a great story; you must be intentional about the platforms you choose, ensuring your message lands in front of the specific audiences that align with your brand's mission and market goals.While human experience is the heart of the story, AI serves as an indispensable assistant in the "business" of storytelling. Aleya recommends leveraging technology to handle the logistical heavy lifting—such as transcribing voice memos, organizing raw thoughts into outlines, or drafting initial pitch emails to event organizers. This allows the entrepreneur to remain in their "zone of genius," focusing on high-level creativity and connection while the AI handles the administrative "busywork." By integrating technology as a supportive tool rather than a ghostwriter, leaders can maintain their unique voice while scaling their visibility and authority in a crowded digital marketplace.About Aleya HarrisAleya Harris is a strategic storytelling consultant, author of Spark the Stage, and an award-winning speaker. She specializes in helping entrepreneurs and executives find their "controlling idea" to build magnetic brands and high-impact speaking careers.About Aleya Harris (Company)Through her consultancy and the Spark Your Story framework, Aleya Harris provides a suite of tools designed to help leaders master stagecraft and brand narrative. Her company offers virtual coaching, signature talk development, and strategic resources to help professionals transition from free speaking engagements to high-value keynote opportunities.Links Mentioned in This Episode

U.S. President Donald Trump's latest tariff announcements have triggered criticism among its trade partners. German Chancellor Friedrich Merz said he will closely coordinate with other EU countries ahead of his trip to Washington.

A Note from James:In the first two episodes with Dr. Nicole McNichols, we talked about chemistry, communication, anatomy, and the science of pleasure. This final episode is really about something deeper—how relationships evolve over time and what actually keeps desire alive.Because the truth is, long-term relationships don't stay exciting automatically. They require intention. They require curiosity. And sometimes the issue isn't your partner at all—it's that you've stopped doing things that light you up in your own life.We also talk about novelty, sex toys, aging, hormones, communication, and why pleasure itself is not optional for wellbeing—it's essential.This conversation tied everything together for me.Episode Description:How do couples keep desire alive years—or decades—into a relationship?In the final part of this series, Dr. Nicole McNichols explains why long-term passion isn't about constant novelty or dramatic reinvention. It's about intentional connection, personal growth, communication, and maintaining a sense of play.They discuss the “seven-year itch,” why boredom often comes from losing personal passion rather than losing attraction, and how seeing your partner energized by their own interests can reignite desire. The conversation also explores sex toys as collaborative tools, the health benefits of sexual activity, aging and sexuality, hormone therapy, and practical ways to communicate about sex without embarrassment.The episode closes with a powerful reminder: pleasure is not a luxury—it's a core component of wellbeing.What You'll Learn:Why boredom in relationships is often about your own life—not your partnerHow pursuing individual passions can increase attraction in long-term couplesWhy sex toys enhance connection rather than threaten itThe physical and psychological health benefits of sexual activityHow curiosity, humor, and vulnerability improve sexual communicationTimestamped Chapters:[00:02:00] Pleasure, Playfulness & Why Attraction Fades[00:03:28] The Seven-Year Itch & Long-Term Desire[00:04:00] Intention, Communication & Intimacy Dates[00:04:45] When Boredom Is About Your Own Life[00:05:25] Personal Passion & Seeing Your Partner Differently[00:06:11] The Best Sex of Your Life After Kids[00:08:16] Novelty Without Threatening the Relationship[00:09:24] Erotic Identity & Emotional Needs[00:11:00] Frequency of Novelty & Sexual Compatibility[00:11:21] Men Feeling Threatened by Novelty[00:11:42] Sex Toys as Collaborative Tools[00:13:26] The Pleasure Cycle: Wanting, Liking, Learning[00:14:12] Sex, Stress Reduction & Sleep[00:15:23] Health Benefits of Sex[00:16:08] Pleasure as Essential Wellbeing[00:19:00] Is Sex the Most Enjoyable Activity?[00:20:00] Presence, Mindfulness & Happiness Research[00:21:39] Sex and Meditation[00:22:00] Sex in Your 80s & Aging[00:23:22] Loneliness, Health & Sexual Function[00:24:25] Erectile Dysfunction & Physical Health[00:25:00] Menopause, Hormones & Sexual Pain[00:26:23] Hormone Therapy & Medical Guidance[00:27:35] Communication as the Core Skill[00:28:35] Leading With Curiosity[00:29:56] Humor, Playfulness & Awkward Conversations[00:31:08] Closing ThoughtsAdditional Resources:You Could Be Having Better SexNicole McNicholsDaniel Gilbert — Happiness research referencedSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The rise in the everyday use of electronic items has also contributed to an increase of electronic waste, filling already crowded landfills and increasing risks to the environment. How can electronic items be safely disposed of, and how can the public play a part in cutting down on e-waste? also on the program: The Pennsylvania Human Relations Commission (PHRC) formally released its State of Fair Housing in the Commonwealth of Pennsylvania. The report examines current housing conditions, patterns of discrimination, and structural challenges impacting access and affordability. It also advances key policy and enforcement recommendations, including strengthening protections against source-of-income discrimination, addressing disparate impact and segregation, improving code enforcement and habitability standards, and increasing accountability for affirmatively furthering fair housing. The report brought together state leaders, civil rights advocates, and housing experts to address ongoing disparities and outline a path forward to ensure equal housing opportunity for all Pennsylvanians.Support WITF: https://www.witf.org/support/give-now/See omnystudio.com/listener for privacy information.

This week we are chatting with ultra cyclist and bikepacker Gregg Dunham all about his new film documenting the EPIC Stagecoach 400 race in Southern California!! Gregg also talks about what inspired "Hidden in Plain Sight" his film about a bikepack trip he took with friends through the Santa Monica mountains and some of his life challenges that inspired that project. Right now you can support Gregg by donating to his Seed and Spark campaign to help the Stagecoach film series get over the finish line of Post Production (I supported because I'm genuinely psyched to see it!) Hope you enjoy the episode! I found lots of inspiration from chatting with Gregg!! MORE FROM GREGG DUNHAM: Stagecoach 400 Campaign (SUPPORT HERE): https://seedandspark.com/fund/stagecoach-400 Instagram: https://www.instagram.com/gregg_sees_the_world/ "Hidden in Plain Sight": https://www.youtube.com/watch?v=_MDZCM2nYiI

On this episode of the Self-Publishing with ALLi podcast, Dan Holloway examines the controversy surrounding AI-generated romance novels after a New York Times report revealed one author producing hundreds of titles and earning six figures. He also looks at AI's growing presence in cultural institutions, new legal pressure from UK publishers, and data suggesting piracy remains a major threat to the book market. Sponsor Self-Publishing News is proudly sponsored by PublishMe—helping indie authors succeed globally with expert translation, tailored marketing, and publishing support. From first draft to international launch, PublishMe ensures your book reaches readers everywhere. Visit publishme.me. Find more author advice, tips, and tools at our Self-publishing Author Advice Center, with a huge archive of nearly 2,000 blog posts and a handy search box to find key info on the topic you need. And, if you haven't already, we invite you to join our organization and become a self-publishing ally. About the Host Dan Holloway is a novelist, poet, and spoken word artist. He is the MC of the performance arts show The New Libertines, He competed at the National Poetry Slam final at the Royal Albert Hall. His latest collection, The Transparency of Sutures, is available on Kindle.

In this episode of SYF Podcast, John Comino and David Shih go through discussing: - Current affairs & headlines - MOI indicator, and how you can use this to help determine property supply & demand for a specific suburb  You can check out the video version here for those who wants to see the slides John has prepared: https://youtu.be/HwxaGrwHu_4 --- DISCLAIMER:  Host/Guest are not Financial Adviser/Investment Consultant. All opinions expressed by host or his guests are for informational purposes only and should not be treated as investment/financial advice of any kind.  "Spark your FIRE" and its team are not liable to the listeners or any other party, for the listeners use of, or reliance on, any information received, directly or indirectly, from the content in any circumstances. Please conduct your own research and obtain independent legal, financial, taxation and/or other professional advice in respect of any decision made in connection with this audio. Contact -  sparkyourfirepodcast@gmail.com

Vincent Heuschling reçoit Hayssam Saleh, créateur de **Starlake**, une plateforme data open source française née de la factorisation de projets clients depuis 2017-2018. L'épisode intervient dans un contexte de consolidation du marché (rachat de DBT et de SQLMesh par Fivetran), qui invite à challenger les solutions établies.Starlake se distingue par une approche **entièrement déclarative** (YAML + SQL natif, sans Jinja) couvrant toute la chaîne data engineering : ingestion, transformation, orchestration et qualité des données. L'outil s'appuie sur les moteurs sous-jacents des plateformes cibles (Snowflake, BigQuery, Spark) et génère automatiquement les DAGs pour les orchestrateurs du marché (Airflow, Dagster, Snowflake Tasks).Parmi les fonctionnalités marquantes : le **data branching** (branches de données à la manière de Git), l'inférence automatique de schémas YAML à partir de fichiers sources, un **transpiler SQL** multi-plateformes, et l'extraction du lineage depuis du SQL brut sans annotation. L'intégration récente de **DuckLake** ouvre la voie à des architectures on-premise souveraines à coût maîtrisé (sous 300 €/mois sur OVH, Scaleway, Clever Cloud).Le modèle économique repose sur le support, la formation, et le consulting : Starlake s'installe dans le cloud du client, avec mise à jour automatique gérée par l'équipe, sans accès aux données.**Chapitres****00:00:27** – Introduction : consolidation du marché data (rachat de DBT et SQLMesh par Fivetran) et présentation de l'épisode**00:03:13** – Hayssam et la genèse de Starlake : parcours Spark/Scala, POC à 4 000 formats de fichiers (2017-2018)**00:09:51** – Architecture et philosophie : load, transform, orchestration unifiés en déclaratif (YAML + SQL natif, pas de Jinja)**00:00:18:18** – Starlake vs DBT : différences philosophiques, composabilité, fonctionnalités 100 % open source**00:00:22:20** – Data branching, Starlake Labs (pipe syntax, transpiler SQL, lineage) et expérience développeur (DuckDB local, UI point-and-click)**00:36:35** – Modèle open source et économique : licence Apache, support, formation, marketplace cloud souveraine**00:43:42** – DuckLake : alternative on-premise/cloud souverain (OVH, Scaleway, Clever Cloud) et comment contribuer / démarrer**Le BigdataHebdo**Le BigdataHebdo est le podcast Francophone de la Data et de l'IA.Retrouvez plus de 200 épisodes https://bigdatahebdo.comRejoignez la communauté sur le Slack https://join.slack.com/t/bigdatahebdo/shared_invite/zt-a931fdhj-8ICbl9dbsZZbTcze61rr~Q

Life has been a lot lately. So today, we're digging into the archives and bringing back one of the most important episodes we've ever recorded: how to talk about sex. Because communication is the thing that keeps connection alive. And these conversations don't have to feel awkward, heavy, or like you're about to start a fight. When you know how to do it right, talking about sex can actually be fun, flirty, and bonding. In this episode, we're breaking down the #1 mistake couples make when they finally try to talk about sex (hint: they wait until something feels bad), and we'll give you our favorite low-pressure ways to start opening up… even if your partner is resistant, nervous, or shuts down the second you bring it up.

In this episode of Scouting for Growth, Sabine VanderLinden welcomes Gil Arazi—a serial entrepreneur, executive, and leading insurtech investor—to explore the urgent transformation taking place in insurance. Gil Arazi argues that the industry's traditional role of simply paying claims post-loss is outdated and that prevention is the new north star for sustainable growth. Their conversation dives into why insurance must shift from risk transfer to risk mitigation, what the future holds as data, AI, and even quantum computing disrupt business models, and how prevention can actually drive profit—not just avoid cost. Gil Arazi introduces The Spark, a not-for-profit initiative designed to help insurers decrease systemic risk and increase societal resilience through practical collaboration, not empty innovation theater. KEY TAKEAWAYS Reflecting on my conversation with Gil Arazi, several themes truly stood out, affirming both the urgency and opportunity for true transformation across insurance.  First, it's clear that insurance cannot remain content with its legacy of paying claims post-loss. We are entering an era where prevention, not just remediation, is imperative—technological advancements, from AI to quantum computing, now offer insurers the tools to anticipate and prevent systemic risks, fundamentally altering their value to customers and society. The model must evolve from chasing losses to proactively reducing risk, and this shift is not just about cost efficiency, but empowering profitable growth through enhanced customer retention and relevance. In building The Spark as a nonprofit prevention lab, Gil Arazi emphasized a collective responsibility: by leveraging data, domain expertise, and increasingly mature technology, we—insurers, partners, and innovators—can bridge the protection gap and act as genuine “protection architects.” This vision requires us to move beyond innovation theater and toward real operational enablement, where execution trumps experimentation. The challenge, however, is not just technological—it is cultural and emotional. Building trust across competitors demands we fall in love with solving the problem, not just owning the solution. Clear boundaries and shared vulnerabilities create the foundation for meaningful collaboration on the risks no single entity can control alone. BEST MOMENTS “The insurance industry needs to move from reacting to the claim ... to proactive prevention of this damage or systemic risk.”  “The only way insurance can be actually successful and sustainably profitable is by being biased.”  “Technology will predict risk, but humans will decide what to do with it. Algorithms are very good at probability, but they're terrible at responsibility.”  “Do something good for humanity and for yourself. If you can't measure your impact by the loss that never happened, you're just optimizing the decline.”  “The real revolution isn't technological anymore. It is emotional, it is behavioral, and it is strategic.”  ABOUT THE GUEST Gil Arazi is recognized as an insurance industry disruptor and visionary. He's the founder and managing partner of Fintlv Venture Capital—a top insurtech VC fund with close to $1 billion invested globally—and the founder of The Spark, a purpose-driven, not-for-profit global prevention lab.  With a career spanning nearly 30 years, including executive leadership, board roles, and serial entrepreneurship in insurance, Gil Arazi has first-hand insight into the industry's pain points and future opportunities. His work focuses on shifting insurance from loss-payout to loss-prevention, leveraging technology and collaboration to build resilience and drive growth. LinkedIn ABOUT THE HOST Sabine VanderLinden is a corporate strategist turned entrepreneur and the CEO of Alchemy Crew Ventures. She leads venture-client labs that help Fortune 500 companies adopt and scale cutting-edge technologies from global tech ventures. A builder of accelerators, investor, and co-editor of the bestseller The INSURTECH Book, Sabine is known for asking the uncomfortable questions—about AI governance, risk, and trust. On Scouting for Growth, she decodes how real growth happens—where capital, collaboration, and courage meet. If this episode sparked your thinking, follow Sabine VanderLinden on LinkedIn, Twitter, and Instagram for more insights. And if you're interested in sponsoring the podcast, reach out to the team at hello@alchemycrew.ventures

The crew tackles everything from the CFTC's controversial stance on prediction markets to the real-world impacts of rising crypto crime. Thank you to our sponsors!  Figure is giving away $25,000 in USDC. Deposit into Democratized Prime, earn ~9% APY hourly—and every $1 you keep in for 25 days is 1 entry. Enter here  Adaptive Security: As AI makes deception easier, security gets harder. Adaptive runs deepfake and phishing simulations so your team can train for real-world threats. Explore more The CFTC has announced an innovation council, Chair Mike Selig has asserted that prediction markets are under the agency's ambit, SBF wants another trial and Nancy Guthrie's kidnapping is casting crypto in a negative light. In this episode of DEX in the City, hosts Jessi Brooks, Katherine Kirkpatrick Bos and TuongVy Le discuss how the distribution of the CFTC's council highlights industry's need for better gender equity, why Selig's stance on prediction markets triggers “a huge constitutional debate,” why SBF's push for a new trial is so dangerous for crypto, and whether the crypto industry can do more to mitigate crime. Find out why SBF's search for a new trial has far reaching effects beyond his case. Plus, can crypto tackle crime without sacrificing its benefits? If you want your crypto taxes done carefully — not guessed — Crypto Tax Girl is offering $100 off one-on-one crypto tax services. Their team focuses solely on crypto and has been helping investors navigate tax season since 2017. Save $100 here Hosts: ⁠Jessi Brooks⁠, General Counsel at Ribbit Capital Katherine Kirkpatrick Bos, General Counsel at StarkWare ⁠TuongVy Le⁠, General Counsel at Veda Links: Unchained: SEC and CFTC Signal United Front on Crypto Trump Won't Consider Pardon for SBF: Report DEX in the City: How Crypto Exchanges May Be Holding Up the Market Structure Bill This week's good news: How Ripple is Helping Great Ormond Street Hospital Charity to Unlock Crypto Philanthropy Learn more about your ad choices. Visit megaphone.fm/adchoices

More discussion on the Blue Jays win over the Huskies.

Mike sounds the alarm on growing Republican voter apathy, warning that staying home could hand victories to Democrats despite strong economic numbers and Trump’s rising approval ratings. He presses Congressman Brandon Gill on the urgent need to energize the base, deliver on campaign promises, and keep momentum heading into November. The conversation also dives into frustration over the Epstein files, demands for accountability, and why some conservatives feel disillusioned with Republican leadership. Mike makes the case that the only path forward is to reignite the Republican fire—and show up when it matters most.See omnystudio.com/listener for privacy information.

Can Auburn's offense reach new heights with the seamless transfer of quarterback Byron Brown and five USF wide receivers? Brian Smith ranks this year's top transfer portal QBs, spotlighting fit, scheme familiarity, and why bringing your center matters for instant success. From Byron Brown's elite dual-threat stats to Drew Mastemaker's record-breaking journey from North Texas to Oklahoma State, the discussion breaks down why system continuity trumps raw talent alone. Key questions include whether Brendan Sorsby's talent and experience can elevate Texas Tech, if Josh Hoover will thrive at Indiana, and how Sam Levitt's late spring start could affect his impact. Insights on NIL, the evolving transfer landscape, and the pressure on quarterbacks to deliver immediately round out the analysis. With coaches and quarterbacks moving as a package, which teams are primed for a smooth offensive transition—and who's set up to fall short in 2026? Everydayer Club If you never miss an episode, it's time to make it official. Join the Locked On Everydayer Club and get ad-free audio, access to our members-only Discord, and more — all built for our most loyal fans.  Click here to learn more and join the community: https://theportal.supercast.com/ Help us by supporting our sponsors!  5-Hour ENERGY Have your cake & drink it too. Birthday cake-flavor is back, no fork needed. Vanilla-y cakey flavor, caffeinated kick, and no sugar. It's party time. Order Now at https://5-hourENERGY.com or Amazon. Mazda Like our players, we're driven by the details. Because highlights make the reel. What it takes to get there makes it count. There's more to a Mazda. Because there's more to you. Turbo Tax For a limited time, you can have your taxes done by a local TurboTax expert for just $150 — all in, if a TurboTax expert didn't file for you last year. Just file by February 28. Take taxes off your plate and get back to your life.  Visit https://TurboTax.com/local to book your appointment today.  Indeed Listeners of this show get a $75 Sponsored Job Credit to help give your job the premium placement it deserves at http://Indeed.com/podcast FanDuel Use your Profit Boost on an NBA future and get entered for your chance to win a trip to the NBA Finals.  Play your game with FanDuel, the official sports betting partner of the NBA. Visit https://FANDUEL.COM to get started.  FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expire in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

Alex & Ty look forward to the Cactus League games beginning tomorrow! The guys talk about a few of the storylines they are looking forward to most!Support this Show and Your Health! 15% Off Spark (Instructions: after clicking on the link, click on the "Energy" tab to find Spark: https://www.advocare.com/home/?D=130822575FREE Cubs Talk Facebook Group: https://www.facebook.com/groups/cubstalkGo to www.setupman.net and subscribe to our mailing list to become a part of Setup Man Nation so you never miss a show! We also do free giveaways for those who are on our list!Check us out on social media:Instagram: https://bit.ly/setupmaninstaTwitter: https://bit.ly/setupmantwitter

Station: 101.1 FM WBRU 360 & the WBRU360 AppOn this show, we're breaking down:Ray J's Bleeding Eyes Barack For PresidentPawtucket Shooting Plus, don't miss The Love Report with this week's topic: Is proposing on a holiday romantic or predictable?It's The Mid-Day Spark Up. Your weekly midday check-in where culture, conversation, and community collide. Hosted by Cristina Sev and co-hosted by DJ Franchise, this show brings real talk, good energy, and unfiltered perspectives.Week #187, from popular news, to world news, local headlines, love, and new music & then someWhether you're listening in the car, at work, at home, or anywhere across the country, this is your reminder to pause, spark your mind, and stay connected.Tune in every Tuesday Live 12 PM to 1 PM from Providence, RI on 101.1 FM WBRU360Stream on The Website: https://www.wbru.com/ Download The WBRU app on an iPhone: https://apps.apple.com/us/app/wbru/id1274238066 Download The WBRU app on an Android: https://play.google.com/store/apps/details?id=com.wbru&pcampaignid=web_shareFollow Cristina on Instagram: https://www.instagram.com/cristinasev_?igsh=enFkemc2MXAxOWx2 Follow Cristina on Tik Tok: https://www.tiktok.com/@cristinasev_?_r=1&_t=ZP-931QjkCHb7X Follow DJ Franchise on Instagram: https://www.instagram.com/djfranchise1?igsh=anptNXh6bTE3am9k Follow DJ Franchise on TikTok: https://www.tiktok.com/@djfranchise1?_r=1&_t=ZP-931Qmux6s3DFollow PartywithRami on Instagram:https://www.instagram.com/partywithrami/

In this episode, I share a recent intuitive writing that came through on the topic of reclaiming our wholeness by letting go of our masks. This writing introduces the concept that we'll be exploring in next week's episode which is titled—The Story of 'I': Letting go of self-illusion to reclaim integrity, peace, and our vital spark of wholeness.Become a member of The Soul Horizon community (or give a one-time donation) to support the podcast. Thank you for your generous support—it breathes life into The Soul Horizon.

The NSW Government has announced a review after two men escaped from a mental health facility at a major Sydney hospital, and then allegedly went on to cause three deaths in separate incidents. Premier Chris Minns has admitted something has gone “badly wrong”, with many saying the mental health system is broken after decades of neglect from both sides of government. In this episode of The Briefing, Natarsha Belling is joined by Dr Angelo Virgona, President-Elect of the Royal Australian and New Zealand College of Psychiatrists, who explains why our mental health system is failing so many people and why we need targeted funding at both the community and federal levels. Headlines: A Sydney man has faced court charged with threatening to kill Treasurer Jim Chalmers, there are numerous reports that the US is mobilising its military ahead of possible strikes on Iran, and the Moto GP is heading to Adelaide. Follow The Briefing: TikTok: @thebriefingpodInstagram: @thebriefingpodcast YouTube: @TheBriefingPodcastSee omnystudio.com/listener for privacy information.

In this episode, Dr. Jennifer Finlayson-Fife joins the Date Your Spouse team to talk about what couples can do to bring a sense of aliveness to their marriage. She challenges the idea that going along to keep the peace is an act of love, explains why duty-based sex quietly destroys desire, and offers a surprisingly simple practice any couple can try TONIGHT to create more intimacy and connection.

Parenting a strong-willed child can feel intense, exhausting, and isolating, especially when your kid has big emotions, strong opinions, and a “justice-seeking” spirit that won't quit. In this episode of The Fresh Start Family Show, Wendy sits down with parenting coach and author Mary Van Geffen to talk about how to parent a “spicy one”, without losing your mind, your confidence, or their spark. You'll learn how to set firm and kind boundaries, why repair matters more than perfection, and how simple shifts in your tone of voice, pace, and posture can change everything when your child pushes back. Mary also shares powerful mindset shifts from her new book Parenting a Spicy One, including the idea that your child isn't your problem, they're your curriculum. If you're raising a strong-willed or “spicy” kid and you want more cooperation, less yelling, and a home that feels safer and more connected, this episode will feel like a deep exhale. ➡️ Head to ⁠⁠⁠⁠https://www.freshstartfamilyonline.com/310⁠⁠⁠⁠ for more info and links.

US Attacking Iran Could Spark Global Economic Crisis & Launch WWIII, Plus Epstein Files Continue Exposing Satanic Globalist Cabal

This week, Elizabeth sits down with Chelsea Parke Kramer, founder of Parke, the effortlessly cool denim and elevated basics brand you've likely seen all over your feed. Chelsea shares how a chance discovery of vintage Levi's at a Miami farmers market became the spark for Parke, and how reworked men's jeans grew into a fast-moving, community-driven fashion brand. They dive into what it really looks like to build community both online and in real life, from TikTok storytelling to IRL pop-ups and meetups. Chelsea opens up about trusting your gut as a young founder, growing from a scrappy startup to a 20-person team, and the systems and support that made scaling possible. She also talks about how her background as a college athlete shapes her discipline today, and why movement is a non-negotiable for staying grounded through the highs and lows of entrepreneurship. If you're building something, or thinking about taking that first scary step, this conversation will leave you feeling inspired and a little braver. Episodes Here Chelsea: Parke Mentioned: Mimi Yoga Emma Yoga Fuze House The Standard Spa BareFaced Toning Pads Crown Affair Dry Shampoo Roller Rabbit The Wellness Process Say Hi To Elizabeth and Purely Elizabeth: Website | Instagram

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OpenAI's hottest app isn't ChatGPT—it's Codex.In the last few weeks alone, the Codex team shipped a desktop app, GPT-5.3 Codex (a new flagship model), and Spark, the fastest coding model I've ever used. Usage has grown fivefold since January, and over a million people now use Codex weekly. Codex was also the app that OpenAI chose to run an ad for in the Super Bowl.Dan Shipper talked to Thibault Sottiaux, head of Codex, and Andrew Ambrosino, a member of technical staff who built the Codex app, for Every's AI & I about what OpenAI is building and how they're using it internally.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 Head to granola.ai/every and get 3 months free with the code EVERY.Timestamps:  00:00:00 - Start00:01:27 - Introduction 00:05:27 - OpenAI's evolving bet on its coding agent 00:09:42 - The choice to invest in a GUI (over a terminal) 00:20:38 - The AI workflows that the Codex team relies on to ship 00:26:45 - Teaching Codex how to read between the lines 00:28:45 - Building affordances for a lightening fast model 00:33:15 - Why speed is a dimension of intelligence 00:36:30 - Code review is the next bottleneck for coding agents 00:41:24 - How the Codex team positions against the competition Links to resources mentioned in the episode:Thibault Sottiaux: Tibo (@thsottiaux)Andrew Ambrosino: Andrew Ambrosino (@ajambrosino)Every's vibe check on everything the Codex team launched: OpenAI's Codex App Gains Ground on Claude Code, GPT-5.3 Codex—The 10x Engineer, Now More Fun at Parties, AI as Fast as Your Train of Thought

Anthony Kim's emotional comeback win had the entire golf world watching — but did it finally give LIV Golf the spark it's been searching for? In this week's episode of the golf podcast we'll ask the question everyone's debating: was Anthony Kim's LIV Golf win the turning point the league has been waiting for? We break down why Golf Digest called it an “authentic moment” that money couldn't manufacture, and why it mattered beyond the feel-good story—especially with LIV Golf now earning Official World Golf Ranking (OWGR) points. Kim's victory sparked immediate impact, jumping from No. 847 to No. 203 in the world rankings, putting majors back into the conversation and proving how much these points can change a season (and a career). We also unpack the optics of a rocky 2026 for LIV, including big-name departures, and whether Kim's comeback can actually move the needle on viewership. Plus, we dive into why LIV Golf Adelaide continues to be the model event for the league, drawing 115,000 fans in 2026 after 94,000 (2024) and 102,000 (2025)—making it one of the most attended golf events in Australia and a real example of “growing the game” in an underserved market. Finally, we read listener reactions from both sides of the PGA Tour vs LIV divide and debate whether this was a one-time moment—or the start of something bigger.   Listen to This Week’s Show Download on iTunes here Listen on Spotify here Thanks to this Week’s Sponsors Titleist is committed to ensuring that every golf ball delivers superior quality and consistency.  From ball to ball, dozen to dozen we should expect our golf ball to perform exactly the same way, shot after shot. That's why Titleist owns the design, the technology and the manufacturing to make sure consistency spot on every time. They even conduct all the testing and quality checks to make sure nothing slips through the cracks.  Titleist is the #1 ball for every player and the #1 ball in golf.  Choose the best for your game and find out more at Titleist.com. Trust your golf game to FootJoy, the number one Shoe in Golf. Shop now at FootJoy.com. Thanks for tuning to The Golf Podcast! Cover Image via X

BUY CAST BREW COFFEE TO SUPPORT THE SHOW - https://castbrew.com/ Become A Member And Protect Our Work at http://www.timcast.com Host: Tim Pool @Timcast (everywhere) Guest: My Second Channel - https://www.youtube.com/timcastnews Podcast Channel - https://www.youtube.com/TimcastIRL

LZ interviews actor Michael Urie on the podcast “You Are Beautiful,” beginning with playful banter and a lip-sync to “Don't Cry Out Loud,” which prompts Lawrence to share a personal memory of hearing the song as a closeted teen and how it shaped his connection to Michael's fearless public identity. Michael answers Lawrence's mirror question while doing press from The Daily Show green room, noting Shrinking has been renewed and joking about fixing a broken hot-water handle in his Upper West Side apartment. They discuss Michael's Texas roots in Plano, his early love of movies and storytelling inspired by Tim Burton, and how shyness led him to play alone with toys while inventing stories. Michael describes a key high-school turning point when a substitute and his teacher moved him into an advanced theater class, being pushed into Fiddler on the Roof due to a lack of boys, and realizing performance was for him after getting a big, repeatable laugh; he also competed in speech tournaments. Michael talks about coming out with support from his older queer sister, having dated girls in high school, and feeling that people in New York and at Juilliard made “intelligent assumptions” as he grew into himself. Lawrence shares his own later-in-life public coming-out and sobriety, and a Harrison Ford anecdote from Live with Regis and Kelly; Michael reflects on long careers, working with Harrison Ford on Shrinking (including the character's Parkinson's storyline), and how acting can evolve into old age, mentioning June Squibb. In rapid-fire topics, Michael discusses Ugly Betty: multiple auditions, Mark St. James originally intended only for the pilot, Vanessa Williams's generosity, and their on-set comedic collaboration; he highlights his proudest element—the bond between Mark and Justin Suarez and the storyline confronting Mark's mother. Asked for advice to queer youth in a difficult climate, Michael emphasizes “find the helpers,” chosen family, and that it's not worth expending energy trying to change people—find your tribe. He also reflects on stage work including Buyer & Cellar (hundreds of performances and famous attendees, though Barbra Streisand never came), Torch Song with Mercedes Ruehl, Once Upon a Mattress as an unexpected dream role, and the shocks and performances in Oh, Mary! with Jinkx Monsoon. The episode ends with Michael sharing that his relationship works because he and his partner listen to each other, and he completes Lawrence's closing prompt: he is beautiful because of the reflection of life he receives back—joy, humanity, and connection.Menu: 00:00 Pajamas, Popcorn & Finally Meeting Michael Urie01:04 Breaking the Ice: A Surprise Lip-Sync Challenge02:14 “Don't Cry Out Loud” Deep Dive: Music, Memories & Meaning04:06 Why This Podcast Exists: Beauty, COVID Reset & Fearless Living05:54 A Camp Crush & Learning to Hide Feelings07:19 Mirror Question: Pride, Sobriety & Where You Are Today07:53 Press Day Wins & Upper West Side Life (and No Hot Water)10:51 Texas Roots: Plano, Two-Stepping & Oil Can Harry's12:46 The Spark to Perform: Movies, Toys, Theater Class & Getting the Laugh18:52 Coming Out Journeys: Family Support, Julliard & Finding Your Person25:05 Was I Born for This? Finding the Path to Acting25:38 Support Systems & ‘It Was Meant to Be'27:34 Working Forever: June Squibb, Harrison Ford & Aging in the Craft30:17 Harrison Ford's Humble Movie-Star Moment (Hair & Makeup Story)31:28 Rapid Fire Begins: Landing Ugly Betty's Mark St. James34:06 Why Mark/Justin Mattered: Representation, Heart & Comedy38:29 Advice for Queer Kids Today: Find the Helpers, Find Your Tribe42:12 Stage Lessons: Buyer & Cellar and the Barbra

Myra Ellen Amos – better known as Tori Amos – is a singular voice in American popular music. While she has been nominated for such major accolades as Grammys and MTV Video Music Awards, she never received significant mainstream radio play in America. Still, her prodigious musical skills and captivating, poetry-rich lyrics confronting topics like religion, misogyny, and sexual assault made her an alt-pop icon who enjoyed considerable success in the 1990s and beyond. Now, more than 30 years into her musical career, and on the eve of the release of 18th studio album, In Times of Dragons, the Great Pop Culture Debate wants to look back and attempt to name the Best Tori Amos Song.Songs discussed: “Silent All These Years,” “Taxi Ride,” “God,” “Winter,” “Spark,” “China,” “Little Earthquakes,” “Crucify,” “Cornflake Girl,” “Jackie's Strength,” “Tear in Your Hand,” “Pretty Good Year,” “Raspberry Swirl,” “Hey, Jupiter,” “A Sorta Fairytale,” “Precious Things”Join host Eric Rezsnyak, Patreon sponsor Bob Erlenback, and GPCD panelists Jim Czadzeck and Kate Racculia as they discuss and debate 16 of their favorite songs by Tori Amos.For the warm-up to this episode, in which we discuss additional Tori Amos songs that didn't make the bracket, become a Patreon supporter of the podcast today. EPISODE CREDITSHost: Eric RezsnyakPatreon Sponsor: Bob ErlenbackPanelists: Jim Czadzeck, Kate RacculiaProducer: Derek MekitaEditor: Bob ErlenbackIntro/Outro Music: "Dance to My Tune" by Marc Torch#toriamos #90smusic #90s #music #altpop #poprock #littleearthquakes #prettygoodyear #crucify #god #spark #thesepreciousthings #silentalltheseyears #winter #taxiride #intimesofdragons #boysforpele #fromthechoirgirlhotelSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Brooke sits down with Santy Sanchez and Beto Contreras from the Insight Alliance to explore a powerful truth: wellbeing and resilience already live within every human being- yes, even young people. This conversation shines a light on how nurturing the self-awareness of their unbreakable SPARK can unlock potential and inspire hope in the next generation. Whether you're an educator, parent, mentor, or community leader, this conversation will leave you inspired and better equipped to help ignite hope in the those you serve by simply shining a light on their own wellbeing and resilience. If you enjoyed our guests today and want to reach them, directly contact them at: https://www.theinsightalliance.org/

Alex and Ty talk about the Shelby Miller addition, and watch a crazy old school baseball fight to start the show! Then, the guys react to Tom Ricketts latest comments as the full squad has reported to Spring Training.Support this Show and Your Health! 15% Off Spark (Instructions: after clicking on the link, click on the "Energy" tab to find Spark: https://www.advocare.com/home/?D=130822575FREE Cubs Talk Facebook Group: https://www.facebook.com/groups/cubstalkGo to www.setupman.net and subscribe to our mailing list to become a part of Setup Man Nation so you never miss a show! We also do free giveaways for those who are on our list!Check us out on social media:Instagram: https://bit.ly/setupmaninstaTwitter: https://bit.ly/setupmantwitter

Baskin & Phelps discuss second half expectations for the Cavs, James Harden adding a spark and Tom Brady issues with ownership and commentating

In this episode I'm joined by Ryan Hunn of the Stadio podcast to pore over last night's 1-1 draw with Brentford. We discuss a first half in which nothing much happened, but one which raised further questions about Eberechi Eze, and how we get more out him in an Arsenal shirt. The half-time introduction of Martin Odegaard helped, Noni Madueke put us ahead but we immediately sat back and Brentford equalised not long afterwards. We try and explain how and why that happened, as well as chatting about the final stages of the game in which we could have both won and last the game, coping with the chaos of the opposition set-pieces, hindsight substitutions, the grind of the Premier League, what Mikel Arteta will do – if anything – to try and find the attacking spark, and lots more.Follow Ryan on BlueSky here: https://bsky.app/profile/ryanhunn.bsky.socialGet extra bonus content and help support Arseblog by becoming an Arseblog Member on Patreon: https://www.patreon.com/arseblog Hosted on Acast. See acast.com/privacy for more information.