Podcasts about Future

In this episode, Dan Ragusa speaks about Letters from America (Reformed Forum) Between 1935 and 1940, Cornelius Van Til (1895–1987) wrote twenty-four letters from America for the Dutch magazine De Reformatie at the invitation of its editor Klaas Schilder (1890–1952). Daniel Ragusa's translation presents these letters in English for the first time. Letters from America opens a window into a critical moment in Reformed history—when orthodox and confessional Presbyterianism in America was under siege from both modernism and the rising influence of Barthianism, which Van Til labeled "the new modernism." Ragusa introduces these letters by situating them within the broader relationship between the Dutch Reformed in the Netherlands and the orthodox Presbyterians in America—a relationship that reaches back to the seventeenth century. Van Til's wartime-like correspondences—written in the heat of theological conflict—offer a firsthand account of the spiritual and ecclesiastical upheavals of the era. Through Van Til's eyes, fixed steadfastly on his risen and reigning Lord, readers witness pivotal moments in American Presbyterian history, among them J. Gresham Machen's trial, deposition, and sudden death; the founding of Westminster Theological Seminary and the evangelistic work of its graduates; and the formation of the Presbyterian Church of America and its subsequent renaming as the Orthodox Presbyterian Church. Far more than museum pieces, these letters bring to life a pivotal chapter in the defense and development of the Reformed faith that helps us to make sense of our present ecclesiastical and theological landscape. Chapters 00:00:07 Introduction     00:06:13 Upcoming Seminar in Raleigh, NC         00:09:29 Dr. Ragusa's Introduction to Van Til's Dutch Letters 00:20:54 Van Til's Concern for the Church 00:29:16 Highlights of the Letters             00:36:19 Van Til's Hope for the Church             00:42:38 The Afscheiding (Secession) of 1834 00:57:46 A Vision for the Future of the Church 01:06:05 Remaining Faithful Today 01:12:15 Conclusion This is Christ the Center episode 947 (https://www.reformedforum.org/ctc947)

A retired physicist triggers an experiment he knows he cannot reverse, forcing him to choose between unchecked growth and deliberate disappearance. As the universe recedes and reality reshapes itself around him, one question remains unresolved: whether returning home means survival—or something far stranger. The Ultimate Paradox by Thorp McClusky. That's next on The Lost Sci-Fi Podcast.Thorp McClusky makes his debut on the podcast today. He wrote twenty science fiction short stories across the 1930s, 40s, and 50s, with nearly all of them appearing between 1936 and 1945.Yesterday we featured The Ultimate Wish. Today it's The Ultimate Paradox, followed by The Ultimate World and The Ultimate Problem.You might call this the Ultimate Run.Turn to page 58 in the May 1945 issue of Weird Tales magazine, The Ultimate Paradox by Thorp McClusky…Next on The Lost Sci-Fi Podcast, A civilization that has solved every problem sends one man into the far future to decide whether life itself should continue. What he discovers forces a choice no perfect world can face without risking its own end. The Ultimate World by Bryce Walton.===========================☕ Buy Me a Coffee - https://lostscifi.com/coffee

A woman is offered one wish, but every choice comes with a price that can't be escaped or softened. As the clock runs down, she must decide whether wanting everything means accepting something far worse. The Ultimate Wish by E. M. Hull. That's next on The Lost Sci-Fi Podcast.The heart of The Lost Sci-Fi Podcast has always been simple: we go looking for the voices that history misplaced.Not just the household names you see in every anthology. Not the writers who built towering reputations while others stood quietly in their shadow. We search for the authors who did remarkable work and somehow slipped through the cracks. The ones who published briefly. The ones whose stories are worthy of discovering.And when we find them, we bring them to you.That's exactly how we discovered today's author, E. M. Hull, born Edna Mayne Hull in Manitoba, Canada, in 1905.Before we go further, she is not the same person as Edith Maud Hull, the British romance novelist also credited as E. M. Hull. That Edith Maud Hull became famous for bestselling romantic fiction.Hull's career in science fiction was brief. She wrote only five short stories. Five. That's it. She also co-wrote one novel with her husband, A. E. van Vogt, one of the most influential science fiction writers of the era.Nearly all of her published work was produced during the three years she lived in Toronto. Three years. A creative burst. Then silence.A writer who contributed to one of the most exciting periods in speculative fiction. A writer who published alongside giants. A writer whose voice still resonates. And yet her entire body of science fiction work can be counted on one hand.That is exactly why The Lost Sci-Fi Podcast exists. Because writers like Edna Mayne Hull deserve to be heard again. We love uncovering these authors, dusting off their work, placing their stories directly into your ears so you can enjoy them.From Unknown Worlds in February 1943 on page 71, The Ultimate Wish by E. M. Hull…Next on The Lost Sci-Fi Podcast, A retired physicist triggers an experiment he knows he cannot reverse, forcing him to choose between unchecked growth and deliberate disappearance. As the universe recedes and reality reshapes itself around him, one question remains unresolved: whether returning home means survival—or something far stranger. The Ultimate Paradox by Thorp McClusky. ===========================☕ Buy Me a Coffee - https://lostscifi.com/coffee

Click here for b-sides of interviews Junction 18 toured relentlessly across the U.S. and Canada alongside bands like New Found Glory, Midtown, Hot Rod Circuit, and Simple Plan, carving out a loyal following in the early 2000s scene. After appearing on the Vans Warped Tour, they signed with Fearless Records and released their debut album This Vicious Cycle in 2000, followed by additional releases including Heroes from the Future and a split with Over It. Although plans for a new album in 2005 were ultimately scrapped, their influence lingered, leading to reunions including a brief set in 2015. In 2025, the band resurfaced with the first-ever vinyl release of This Vicious Cycle and reunited for a mini-tour across Boston, New Jersey, Pennsylvania, and New York, closing the loop on a legacy that refused to stay buried. Almost playing drums in Bayside the band Boxer New Found Glory Finding their sound how the Bike logo came to be Signing to Fearless Records Simple Plan The band members getting into a fight on stage at the last show And a ton more Follow their instagram at Junction18rock Hire Ryan's band Hit Play for your wedding in Massachusetts on hitplayband.com Check out his friend's podcast called www.jimandthem.com where they are currently in a battle with Corey Feldman And his buddy's podcast on instagram leaguepodcast where they talk about comic books and it looks like some pop culture Lastly I'm opening my skills back up to graphic and video offerings to the following: Design support includes: • Branding and visual identity • Marketing and campaign design • Social, print, and digital assets  Video work includes: • Podcast video clips • Short-form content for Reels, Shorts, TikTok, and ads • Long-form edits for interviews, webinars, and YouTube • Sizzle reels and brand videos • Explainer and marketing video edits • Captioning, on-screen text, and light motion graphics If any of this lines up with something you need. Email mike@drive80.com for samples and pricing.

Stay informed on current events, visit www.NaturalNews.com - Trump's Glyphosate Decision and Its Implications (0:11) - Texas Farmers Union's Revolt Against Data Centers (0:57) - Anti-AI Sentiment and Farmland Crisis (2:15) - Trump's Upcoming Attack on Iran (4:22) - Trump's Chemical Weapons Attack on America (9:41) - Texas Farmers' Revolt Against Data Centers (52:56) - The Future of Data Centers and AI (1:09:44) - Trump's Glyphosate Decision and Its Legal Implications (1:13:31) - The Role of Data Centers in the Power Grid (1:14:12) - The Future of AI and Data Centers (1:15:54) - Todd's Vacation and Voice Issues (1:17:47) - Bitcoin Crash and Market Reactions (1:25:58) - Bitcoin as a Surveillance Coin (1:28:49) - Bitcoin ETFs and Market Manipulation (1:31:38) - Epstein Files and Bitcoin's Reputation (1:34:23) - Bitcoin Cash and Bitcoin's Evolution (1:36:07) - Crypto Exchanges and Security Concerns (1:39:18) - AI and Crypto Integration (1:44:21) - Privacy Coins and Surveillance Beyond the Blockchain (2:01:44) - AI and Crypto Development (2:23:04) - Impact of IT Sector Shifts on Neighborhood Demographics (2:36:38) - Compute Hardware Shortage and Price Increases (2:40:52) - Robotics Industry and Autonomous Functions (2:44:26) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

Following on from J.D. Vance's bracing speech in 2025, Secretary of State Marco Rubio called on European allies to resist the managed decline of the West at the 2026 Munich Security Conference this week. The welfare state is a slow moving trainwreck. Appeasement of climate cultists stunts economies. Mass migration threatens to disrupt our civilization. Playing good cop to the VP's bad cop, Rubio outlined America's vision to revive the spirit and strength of the shared Western project. Plus: The guys discuss the Left's compassion fatigue, Hungary's coming election, and the legacy of the late Dr. Mickey Gene Craig: teacher, mentor, and friend.Recommended:Secretary of State Marco Rubio at the Munich Security ConferenceGeorge Washington's Farewell AddressHungary and the Future of EuropeWhy Hasn't Brexit Happened? This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit claremontinstitute.substack.com/subscribe

How interstellar relays could move data, cargo, and starships between stars using lasers, light sails, and cosmic-scale infrastructure.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video The Future of Interstellar Communication: https://nebula.tv/videos/isaacarthur-chronoengineering-manipulating-time-as-technology

How interstellar relays could move data, cargo, and starships between stars using lasers, light sails, and cosmic-scale infrastructure.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video The Future of Interstellar Communication: https://nebula.tv/videos/isaacarthur-chronoengineering-manipulating-time-as-technology

In this conversation, Stephan Livera and Keith from Branta discuss the intricacies of Bitcoin payments, focusing on the importance of address verification and security in the context of increasing digital threats. They explore how Branta's zero-knowledge verification process can enhance user experience and security, particularly in the face of potential scams and malware. The discussion also touches on the integration of Branta with Lightning and other Layer 2 solutions, as well as the future of Bitcoin user experience in an AI-driven world.Takeaways:

This week, comic shop employees from all over gather in Glendale, California. It's time for ComicsPRO, the annual event designed to “promote the progress and development of comic book retailers and improve the condition of the comic book industry.” It's one of our favorite times of the year as we eagerly sit by our computers waiting for announcements from publishers and the good word from our LCS pals. Sadly, we cannot be in person this year, but that doesn't mean we can't bring you exclusive information. Thanks to writer Zack Kaplan, who's on the ground at ComicsPRO, we're there by proxy. And he's dishing on his big announcement, extending his partnership with Dark Horse Comics, bringing us the final chapter in Kill All Immortals and two more new titles, Only The Savage Are Left and The Smart Division. Kill All Immortals is a nifty, nasty look at the boot standing on our necks: the billionaire class. The comic imagines a universe where various immortal clans have gobbled up control of the economy, but one is starting to crumble from within. Frey Asvald, daughter of Erik the Red, can no longer sit idly as her family consumes the planet. She wants to help us poor mortals, but in doing so, she exposes herself and others to tremendous violence. And can you really keep your hands clean when attempting global, capital G, Good? On this week's podcast, we discuss the state of comic book retail, a bizarre occurrence involving our local shops, and the anxiety of putting new books into readers' hands. Zack Kaplan gives us the skinny on Kill All Immortals as well as his two new titles at Dark Horse. We dig into our collective billionaire woes and consider one particular violent action committed by Frey in Kill All Immortals Volume One. Kill All Immortals is written by Zack Kaplan, illustrated by Fico Ossio, colored by Thiago Rocha, and lettered by Hassan Otsmane-Elhaou. Covers by Oliver Barrett (although the header image above is from variant cover artist Tula Lotay). Make sure you're following Zack Kaplan on BlueSky, Instagram, and his website. This Week's Sponsors This February, Dave Stevens's The Rocketeer soars again in a brand-new story written by John Layman, the genius behind the foodie cannibal detective series Chew, and illustrated by Jacob Edgar, who drew Plastic Man: No More and has a very cool J. Bone/Darwyn Cooke style. The new series is called The Rocketeer: The Island. Our skybound hero, Cliff Secord, leads a dangerous search and rescue mission. Who's he looking for? None other than Amelia Earhart! The first issue crashes into comic book shops on February 25th, courtesy of IDW Publishing. The Future is Calling! 2000 AD is the Galaxy's Greatest Comic, with new issues published every single week! Every 32-page issue of 2000 AD brings you the best in sci-fi and horror, featuring characters like Judge Dredd, Rogue Trooper, and more. Get a print subscription to 2000 AD and it'll arrive to your mailbox every week - and your first issue is free! Or subscribe digitally, and you can download DRM-free copies of each issue for only $9 a month. That's 128 pages of incredible comics every month for less than $10! Head to 2000AD.com and click on ‘subscribe' now – or download the 2000 AD app and start reading today! Other Relevant Links to This Week's Episode: Subscribe to the Comic Book Couples Counseling YouTube Channel Watch The Stacks, Comic Creators Name Their Favorite Comics CBCC on The Beat: Why Comics Needs Its Own Criterion Closet CBCC on the Comics Matter Podcast AIPT reports on The Stacks CBCC on Escape the Mojoverse Podcast CBCC on The FAQS Project Podcast Support Your Local Comic Shop: Secret Identity Comics in Chester, England Comic Book Club: Batman: The Court of Owls at Meanwhile...Coffee in Herndon, Virginia, on 2/1 at 3:30 PM Comic Book Film Club: Blade at the Alamo Drafthouse Winchester on 2/15 Final Round of Plugs (PHEW): Support the Podcast by Joining OUR PATREON COMMUNITY. And, of course, follow Comic Book Couples Counseling on Facebook, on Instagram, and on Bluesky @CBCCPodcast, and you can follow hosts Brad Gullickson @MouthDork & Lisa Gullickson @sidewalksiren. Send us your Words of Affirmation by leaving us a 5-star Review on Apple Podcasts. Continue your conversation with CBCC by hopping over to our website, where we have reviews, essays, and numerous interviews with comic book creators. Podcast logo by Jesse Lonergan and Hassan Otsmane-Elhaou.

We welcome back Mike Parrott to unravel the truth about silver, gold, and other forms of currency. Should surging silver prices be viewed as a resounding success, or is there more to the story? What is real money, where does it come from, and how should those things impact the way in which families navigate our current economic climate? Show Notes Silver Is Surging: But That's Not the Story Why Gold Can't Displace Fiat? || Peter Zeihan Money Manipulation and Social Order The Creature from Jekyll Island: A Second Look at the Federal Reserve The Reconstruction of the Republic The Crash Course: An Honest Approach to Facing the Future of Our Economy, Energy, and Environment When Money Dies: The Nightmare of Deficit Spending, Devaluation, and Hyperinflation in Weimar Germany Leverage: How Cheap Money Will Destroy the World iCatholic Mobile The Station of the Cross Merchandise - Use Coupon Code 14STATIONS for 10% off | Catholic to the Max Read Fr. McTeigue's Written Works! "Let's Take A Closer Look" with Fr. Robert McTeigue, S.J. | Full Series Playlist Listen to Fr. McTeigue's Preaching! | Herald of the Gospel Sermons Podcast on Spotify Visit Fr. McTeigue's Website | Herald of the Gospel Questions? Comments? Feedback? Ask Father!

Big economic news dropped last week: labor data, inflation rates, and huge jobs revisions. All of these are already impacting the housing market, but could new numbers cause an even greater shift that could affect your mortgage rate, your rents, and your next deal? Rental property owners, agents, sellers, and buyers: this news affects what you're doing right now. New labor data beat the odds, with a surprising amount of hirings. But, with many of those hirings concentrated in a few specific fields, investors in markets with this line of work will need to watch carefully. And it wasn't all good news—the largest jobs number revision in over a decade happened last week. The number of overreported jobs? It changes the picture entirely. A strong labor market could mean stagnant mortgage rates, but inflation data might just come in to save the day. With lower inflation readings, could the Fed get the confidence to cut once again?  Finally, we'll talk about exactly which types of homes will sell and which will stagnate on the market. One type of property is flying off the proverbial shelf, so if you can build, renovate, or rent it, you could be in luck. For the rest of investors, Dave has some cautious words of wisdom that could save you if this economic trend continues. In This Episode We Cover Off by nearly 1,000,000 jobs: Inside the largest jobs number revision in over a decade  New inflation rate readings and whether we're trending in the right direction More moves for mortgage rates? Positive data that could tip them a bit lower The one type of housing that has high demand, even as consumer sentiment stays low Why you either feel phenomenal or terrible about the U.S. economy  And So Much More! Links from the Show Join the Future of Real Estate Investing with Fundrise Join BiggerPockets for FREE Join us at the BiggerPockets Conference October 2-4 in Orlando. Buy tickets Sign Up for the On the Market Newsletter Find Investor-Friendly Lenders Dave's BiggerPockets Profile On the Market 372 - New Recession Indicator Shows Americans Worse Off Than We Thought BiggerPockets Real Estate - 1229 - Scott Trench's $1,000,000 Bet on Real Estate (Update) Grab the Book on "Recession-Proof Real Estate Investing" Check out more resources from this show on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BiggerPockets.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and https://www.biggerpockets.com/blog/on-the-market-401. Interested in learning more about today's sponsors or becoming a BiggerPockets partner yourself? Email ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠advertise@biggerpockets.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Some of the most complex health challenges aren't medical alone — they're human, social, and deeply interconnected. In this SEE YOU NOW Insight from "Episode 80: Health Starts with Housing," nurse and systems leader Lauren Hardin shares how she built a model of complex care that brings providers together across sectors to serve people whose needs fall through the cracks of fragmented systems.   To listen to this Insight clip's full episode, visit the SEE YOU NOW Podcast "Episode 80: Health Starts with Housing," on APPLE, SPOTIFY, YOUTUBE or your favorite streaming platform.    For more information on the podcast bundles, visit ANA's Innovation Website at https://www.nursingworld.org/practice-policy/innovation/education.    Have questions or feedback for the SEE YOU NOW team? Future episode ideas? Contact us at hello@seeyounowpodcast.com.         

0:30 - John Anthony filling in for Dan Proft 11:43 - Black History Month 32:54 - Jesse Jackson 51:45 - School Choice 01:12:59 - Martin McLaughlin, Illinois State Rep - 52nd District, reviews JB Pritzker’s State of the State address, calling it “performance art” and not “worth the paper it was written on” Keep updated with Rep McLaughlin on X @MartyForIL 01:31:26 - Brian Lonergan, Director of Strategic Communications & Content at FAIR, says the debate over Voter ID is really Elites versus Ordinary Americans. Brian is also co-host of the “No Border, No Country” podcast 01:50:13 - Dustin Grage, columnist at Townhall.com, updates the Minnesota fraud investigations. Follow Dustin on X @GrageDustin 02:09:05 - Scott McKay, publisher of TheHayride.com & senior editor at The American Spectator, with a look at AI, Revolution and the Future of Celebrity. Scott is also the author of the brand-new novel Blockbusters, which is available at AmazonSee omnystudio.com/listener for privacy information.

BONUS: The Future of Seeing—Why AI Vision Will Transform Medicine and Human Perception What if the next leap in AI isn't about thinking, but about seeing? In this episode, Daniel Sodickson—physicist, medical imaging pioneer, and author of "The Future of Seeing"—argues we're on the edge of a vision revolution that will change medicine, technology, and even human perception itself. From Napkin Sketch to Parallel Imaging "I was doodling literally on a napkin in a piano bar in Boston and came up with a way to get multiple lines at once. I ran to my mentor and said, 'Hey, I have this idea, never mind my paper.' And he said, 'Who are you again? Sure, why not.' And it worked."   Daniel's journey into imaging began with a happy accident. While studying why MRI couldn't capture the beating heart fast enough, he realized the fundamental bottleneck: MRI machines scan one line at a time, like old CRT screens. His insight—imaging in parallel to capture multiple lines simultaneously—revolutionized the field. This connection between natural vision (our eyes capture entire scenes at once) and artificial imaging systems set him on a 29-year journey exploring how we can see what was once invisible. Upstream AI: Changing What We Measure "Most often when we envision AI, we think of it as this downstream process. We generate our data, make our image, then let AI loose instead of our brains. To me, that's limited. Why aren't we thinking of tasks that AI can do that no human could ever do?"   Daniel introduces a crucial distinction between "downstream" and "upstream" AI. Downstream AI takes existing images and interprets them—essentially competing with human experts. Upstream AI changes the game entirely by redesigning what data we gather in the first place. If we know a machine learning system will process the output, we can build cheaper, more accessible sensors. Imagine monitoring devices built into beds or chairs that don't produce perfect images but can detect whether you've changed since your last comprehensive scan. AI fills in the gaps using learned context about how bodies and signals behave. The Power of Context and Memory "The world we see is a lie. Two eyes are not nearly enough to figure out exactly where everything is in space. What the brain is doing is using everything it's learned about the world—how light falls on surfaces, how big people are compared to objects—and filling in what's missing."   Our brains don't passively receive images; they actively construct reality using massive amounts of learned context. Daniel argues we can give imaging machines the same superpower. By training AI on temporal patterns—how healthy bodies change over time, what signals precede disease—we create systems with "memory" that can make sophisticated judgments from incomplete data. Today's signal, combined with your history and learned patterns from millions of others, becomes far more informative than any single pristine image could be. From Reactive to Proactive Health "I've started to wonder why we use these amazing MRI machines only once we already know you're sick. Why do we use them reactively rather than proactively?"   This question drove Daniel to leave academia after 29 years and join Function Health, a company focused on proactive imaging and testing to catch disease before it develops. The vision: a GPS for your health. By combining regular blood panels, MRI scans, and wearable data, AI can monitor whether you look like yourself or have changed in worrisome ways. The goal isn't replacing expert diagnosis but creating an early warning system that surfaces problems while they're still easily treatable. Seeing How We See "Sometimes when I'm walking along, everything I'm seeing just fades away. And what I see instead is how I'm seeing. I imagine light bouncing off of things and landing in my eye, this buzz of light zipping around as fast as anything in the universe can go."   After decades studying vision, Daniel experiences the world differently. He finds himself deconstructing his own perception—tracing sight lines, marveling at how we've evolved to turn chaos of sensation into spatially organized information. This meta-awareness extends to his work: every new imaging modality has driven scientific discovery, from telescopes enabling the Copernican Revolution to MRI revealing the living body. We're now at another inflection point where AI doesn't just interpret images but transforms our relationship with perception itself.   In this episode, we refer to An Immense World: How Animal Senses Reveal the Hidden Realms Around Us by Ed Young on animal perception, and A Path Towards Autonomous Machine Intelligence by Yann LeCun on building AI more like the brain.   About Daniel Sodickson Daniel K. Sodickson is a physicist in medicine and chief medical scientist at Function Health. Previously at NYU, and a gold medalist and past president of the International Society for Magnetic Resonance in Medicine, he pioneers AI-driven imaging and is author of The Future of Seeing.

The Future of AI in Marketing & Insurance: Insights with Cameron LaboudiIn this week's episode, the Mayor Heath Shearon sits down with Cameron LiButti of BidView Marketing. These two dive into the transformative power of artificial intelligence in reshaping marketing strategies and customer engagement, particularly within the insurance industry. They explore practical advice and emerging trends, offering listeners insights on how to adapt and thrive in this rapidly evolving landscape. Explore how artificial intelligence is transforming marketing strategies, SEO, and customer engagement, especially within the insurance industry. Cameron Libutti shares practical advice, emerging trends, and how professionals can adapt to this rapidly evolving landscape.Key TopicsThe evolving role of AI commercials in Super Bowl marketing and industry impactsHow AI platforms like ChatGPT, Claude, and Gemini are changing search behaviorsThe importance of local community positioning over broad claimsDifferentiating your business through brand imagery and reviewsThe shift from traditional SEO to AI-focused citations and content strategiesTactical tips for small agencies on landing pages and content structureHow interest graph algorithms influence short-form and long-form contentThe emerging concept of GEO (Generative Engine Optimization) and AI rankingsPractical steps for professionals to optimize their presence in AI-driven searchesThe power of AI in rapid prototyping and business data intelligenceTimestamps00:00 - Welcome and episode overview: AI's impact on marketing and insurance 07:11 - Cameron's journey from engineering to marketing and digital strategy 12:22 - The importance of local community positioning in professional services 14:36 - Creative outreach ideas: giving away cookies to nurture leads 17:13 - How to position yourself as the best in your local market 18:04 - Using imagery and reviews to build trust and credibility 21:24 - The relevance of SEO in an AI-powered search landscape 22:51 - The disruptive influence of generative AI like ChatGPT on traditional search 26:11 - Tracking AI-driven leads and measuring success 28:22 - How local agencies can succeed with traditional SEO 35:41 - Navigating social media algorithms: long vs. short-form content 39:20 - Introduction to GEO: Generative AI engine optimization 40:11 - Understanding AI rankings and data personalization 42:31 - Practical steps for agencies to improve AI visibility  44:45 - Citation strategies across platforms and directories  48:25 - Cameron's AI soapbox: Power, capability, and rapid development in AI tools  53:11 - Closing remarks and contact info for Cameron LibuttiSponsors:Smart Choice Agency NetworkCanopy ConnectMAVConnect with Cameron LibuttiLinkedInTwitterEmail

Seattle this may be the clearest NBA expansion signal yet. Veteran NBA reporter Brad Townsend joins host Danny Ball and says the financial groundwork is already circulating among owners… with a vote this summer but other owners wanting to vote sooner, expansion could be closer than fans think. Brad Townsend of The Dallas Morning News joins Iconic Sonics to break down what he's hearing about NBA expansion, including a possible vote timeline, why Seattle and Las Vegas are the frontrunners, and why the process may be further along than most realize. Follow the show: Instagram: https://www.instagram.com/iconic_sonics/ X: https://x.com/iconic_sonics Threads: https://www.threads.net/@iconic_sonics 0:00 – NBA Expansion Update: What We're Hearing 2:15 – Why Seattle's Expansion Case Feels Strong 6:42 – The NBA's Market Study Explained 10:18 – Expansion Fees & Owner Financial Discussions 14:07 – When Could the NBA Vote on Expansion? 18:55 – Why Relocation Is Off the Table 22:31 – Seattle vs Las Vegas: Who Has the Edge? 27:12 – Western Conference Realignment & Minnesota East? 31:44 – The New NBA TV Deal & Expansion Timing 36:20 – Mark Cuban's Role After the Sale 41:08 – Luka Fallout & The Mavericks' Future 46:50 – Tanking, Draft Depth & League Parity 52:33 – ABA Stories & George Gervin 58:10 – Final Seattle Expansion Takeaways

In the 7 AM Hour: Larry O’Connor and Alex Swoyer discussed: WMAL GUEST 7:05 AM - INTERVIEW - CHRIS PAPST - Baltimore reporter and author of “Failure Factory: How Baltimore City Public Schools Deprive Taxpayers and Students of a Future” SOCIAL MEDIA: https://x.com/chrispapst BOOK: https://www.amazon.com/Failure-Factory-Baltimore-Taxpayers-Students/dp/B0FNDQQY1T Former Prince Andrew arrested on suspicion of misconduct in public office, reports say WMAL GUEST 7:35 AM - INTERVIEW - JAMES ROSEN - chief Washington correspondent at Newsmax and author of Scalia: Supreme Court Years: 1986-2001, released in February 2026 SOCIAL MEDIA: https://x.com/JamesRosenTV BOOK: Scalia: Supreme Court Years, 1986 to 2001 Where to find more about WMAL's morning show: Follow the Show Podcasts on Apple podcasts, Audible and Spotify. Follow WMAL's "O'Connor and Company" on X: @WMALDC, @LarryOConnor, @Jgunlock, @patricepinkfile, @Aswoyer and @heatherhunterdc. Facebook: WMALDC and Larry O'Connor Instagram: WMALDC Show Website: https://www.wmal.com/oconnor-company/ How to listen live weekdays from 5 to 9 AM: https://www.wmal.com/listenlive/ Episode: Thursday, February 19, 2026 / 7 AM Hour See omnystudio.com/listener for privacy information.

Send a textGene regulation through RNAs, the neurobiology of opioid addiction, and how psychedelics affect drug-seeking by modulating inflammation and plasticity. Not medical advice.TOPICS DISCUSSED:Gene regulation basics: DNA transcribes to RNAs, including non-coding types like microRNAs that inhibit mRNA translation into proteins, influencing up to 60% of the proteome.Non-coding RNAs in neuroplasticity: MicroRNAs and circular RNAs regulate synaptic changes, with activity-induced ones like miR-485-5p linked to rapid responses in drug cue memory and addiction reinforcement.Opioid addiction models: Rats self-administer heroin or fentanyl via levers, showing compulsive seeking; fentanyl's higher potency drives faster learning but similar long-term effects to heroin when doses are equated.Differences between opioids: Heroin and fentanyl both activate mu-opioid receptors for euphoria and dopamine release, but fentanyl lingers longer; no major behavioral differences in seeking once potency is matched.Psilocybin's effects on addiction: A single psilocybin dose post-abstinence reduces heroin-seeking in rats by dampening neuroinflammation in brain regions like the nucleus accumbens and prefrontal cortex.Brain Inflammation: Opioids induce pro-inflammatory changes via cytokines like IL-17A and pathways like TNF-alpha, leading to glial activation and blood-brain barrier leaks; psilocybin counters this.MicroRNA biomarkers: Blood microRNAs reflect gene expression patterns tied to disease states, with potential to predict opioid relapse risk, treatment response, or neonatal withdrawal severity non-invasively.Future research: Ongoing work links psilocybin's serotonin 2A activation to anti-inflammatory gene changes, plus human studies on microRNAs for personalized addiction treatments.ABOUT THE GUEST: Stephanie Daws, PhD is an associate professor at Temple University in the Center for Substance Abuse Research and Department of Neurosciences, where she researches mechanisms of drug-seeking behavior with a focus on opioids and psychedelics.RELATED EPISODE:M&M 2 | Psilocybin, LSD, Ketamine, InflamSupport the showHealth Products by M&M Partners: SporesMD: Premium mushrooms products (gourmet mushrooms, nootropics, research). Use code 'nickjikomes' for 20% off. Lumen device: Optimize your metabolism for weight loss or athletic performance. MINDMATTER gets you 15% off. AquaTru: Water filtration devices that remove microplastics, metals, bacteria, and more from your drinking water. Through link, $100 off AquaTru Carafe, Classic & Under Sink Units; $300 off Freestanding models. Seed Oil Scout: Find restaurants with seed oil-free options, scan food products to see what they're hiding, with this easy-to-use mobile app. KetoCitra—Ketone body BHB + electrolytes formulated for kidney health. Use code MIND20 for 20% off any subscription (cancel anytime) For all the ways you can support my efforts

Shahar Goldboim is the Founder and CEO of Boom, an AI-enabled property management platform for short-term rental portfolios built by operators. Shahar is an entrepreneur and builder, and he launched Boom with his two sibblings after identifying real-world operational pain points inside a large South Florida property management company as it scaled. Under his leadership, Boom delivers comprehensive software that simplifies workflows, increases revenue, and reduces costs for property managers.(02:15) - Why Short-Term Rentals Are the Hardest Asset Class(02:44) - Fragmentation and the Review-Driven Revenue Trap(04:13) - The Spark: A Miami Airbnb Experiment(05:30) - From Airbnb Host to Property Manager(07:31) - Software Fragmentation in STR Ops(07:55) - From SaaS to Baas (Business-as-Software)(09:09) - Boom, the AI PMS(12:47) - Enabling Proactive Ops(13:51) - The $12M+ Fundraise(14:47) - Winning Investors with Hospitality & Tech Credibility(16:53) - Feature: Blueprint Vegas 2026(17:46) - STR Market Context and the Vacasa Lesson(21:03) - Replacing Point Solutions(23:47) - ROI, AI Moats, Future of STR Ops(32:06) - Collaboration Superpower: Tony Robbins (Wiki)

Today I have the immense pleasure of talking with Carissa Véliz, an associate professor at the University of Oxford, about her new book, Prophecy: Prediction, Power, and the Fight for the Future—from Ancient Oracles to AI.  Linking this work to her previous book, Privacy is Power: Why and How You Should Take Back Control of Your Data, Véliz writes: “ surveillance and prediction are digital technology's original sins.”In our wide-ranging discussion, we talk about how both massive and intrusive invasions of privacy at all levels of society and false claims to be able to predict the future erode democracy, are corrosive to ethics, and undermine people's ability to think for themselves.  Instead, we are conditioned to trust an unregulated band of “effective altruists” who claim to know better than we what kinds of lives we should prefer and the choices we should make.  Véliz argues instead that we should embrace the uncertain to build resilience, to prepare for contingency but not be determined by what we cannot see, and to foster curiosity and imagination.Carissa Véliz is an Associate Professor in Philosophy at the Institute for Ethics in AI, and a Fellow at Hertford College at the University of Oxford. She is the recipient of the 2021 Herbert A. Simon Award for Outstanding Research in Computing and Philosophy. She is a member of UNESCO's Women 4 Ethical AI. She advises companies and policymakers around the world on privacy and the ethics of AI. She is a board member of the Proton Foundation, along with Sir Tim Berners-Lee and Proton's CEO Andy Yen. She is the author of the highly-acclaimed Privacy Is Power (an Economist book of the year, 2020) and the editor of the Oxford Handbook of Digital Ethics. Her new book Prophecy was described as “The most important book you will read for years” by Roger McNamee, the tech investor and best selling author.

Omari Richins, MPH of Public Health Careers podcast talks with Jennifer Kuo, MPH, CHES.In this episode, Jennifer Kuo shares her journey at the intersection of arts and public health - and why creative approaches are essential to building healthier communities. She breaks down social prescribing and its growing role in the U.S. healthcare system, highlighting how arts and culture support well-being, connection, and healing.Jennifer discusses her path from the arts into public health, her academic and professional experiences, and what her day-to-day work looks like in the field of creative health. The conversation explores community engagement, social determinants of health, and how to design and evaluate inclusive, arts-based health initiatives. She also reflects on personal growth, leadership, and offers practical advice for aspiring public health professionals looking to find their niche in this evolving space.Link to shownotes

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

In this episode of Opinionated, I speak with Bret Stephens, who reflects on how Jews have the “honor of being hated,” a realization that struck him on October 8th during a Times Square demonstration. We discuss how this perspective underscores the need for Jews to build resilient institutions and a strong sense of identity. I then talk with Dan Perry about Israel's difficult choices in the Palestinian territories, weighing the realities of Hamas, occupation, and the Palestinian Authority, and the necessity of pragmatic decisions to protect Israeli lives. Finally, I offer a personal commentary on the broader implications for Jewish communities worldwide and the urgency of Israel achieving decisive security. Support the showThe MirYam Institute. Israel's Future in Israel's Hands.Subscribe to our podcast: https://podfollow.com/1493910771Follow The MirYam Institute X: https://bit.ly/3jkeUyxFollow Benjamin Anthony X: https://bit.ly/3hZeOe9Like Benjamin Anthony Facebook: https://bit.ly/333Ct93Like The MirYam Institute Facebook: https://bit.ly/2SarHI3Follow Benjamin Anthony Instagram: https://bit.ly/30m6uPGFollow The MirYam Institute Instagram: https://bit.ly/3l5fvED

Why is gold suddenly back in the spotlight?In this episode of Tank Talks, Matt Cohen sits down with Peter Grosskopf, a seasoned veteran in the precious metals and investment management world. Peter has seen it all. He helped scale Sprott from $5 billion to over $20 billion in assets under management, and now, he's co-founded Argo Digital Gold, a platform pioneering the tokenization of physical gold.Peter breaks down how gold is reasserting itself as the ultimate hedge against today's inflation, debt crises, and financial uncertainties. From the global financial crisis to the latest trends in digital gold, they explore how gold remains the bedrock of wealth preservation and why even the tech-driven world is waking up to its importance. Plus, hear why Peter believes tokenization is the key to democratizing access to gold for everyday investors.Peter shares his wealth of knowledge on the role of gold in modern portfolios, how blockchain is transforming the way we interact with real assets, and why long-term patience with gold has paid off for investors. Get ready for a deep dive into gold's resurgence and what it means for the future of investment.The Role of Gold as a Defensive Hedge (02:03)Why gold acts as a key insurance asset in uncertain times and how it has performed during global financial crises. Peter explains why gold often takes a short-term dip but then explodes as a long-term haven.Scaling Sprott to $20 Billion (03:06)Peter discusses the pivotal moment that drove the growth of Sprott, focusing on the creation of physically-backed ETFs that gained the trust of investors globally. Learn how this became a game-changer for the company's success.Real Assets and Family Office Strategies (09:14)A discussion on how real assets like gold and silver have become crucial in the portfolios of family offices, foundations, and institutional investors. Peter explains how real assets help hedge against inflation and government-controlled currencies.Gold's Role in Today's Macro Environment (12:09)How gold is perceived by investors in a high-debt, inflationary world. Peter shares his thoughts on why governments are turning to gold and how this is affecting the gold market globally.Tokenization of Gold and the Future of Blockchain (25:02)Peter outlines his involvement in tokenizing physical gold and the benefits it brings to the retail and institutional markets. We explore how blockchain is disrupting traditional gold storage and trading, creating 24/7 access with lower fees.The Gold vs. Bitcoin Debate (32:29)In a world where both gold and Bitcoin are being digitized, Peter shares his thoughts on how they can complement each other and why gold remains the more stable choice for wealth preservation.Gold in the Future of Investment (35:01)What's next for the precious metals market as governments try to navigate their debt crises and central banks keep a close eye on gold? Peter discusses the future of gold in both physical and digital forms.About Peter GrosskopfPeter Grosskopf is a renowned leader in the precious metals space, having served as the CEO of Sprott, where he played a pivotal role in scaling the firm's assets under management from $5 billion to over $20 billion. He is also the Co-Founder of Argo Digital Gold, a platform at the forefront of tokenizing physical gold. With extensive experience in both the resource banking and asset management sectors, Peter has advised family offices and institutional clients on real asset strategies. As a director of Agnico Eagle Mines and the World Gold Council, he brings deep insight into gold's macroeconomic role and its function as a defensive hedge in volatile times.Visit the Argo Digital Gold website: https://www.argovault.com/Connect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

SummaryIn this episode, Perry Marshall shares his journey from engineering to becoming a marketing guru, discussing the evolution of marketing from direct mail to digital platforms and the impact of AI on the industry. He emphasizes the importance of unique perspectives, finding niche markets, and balancing passion projects with profit. The conversation also touches on the modern music industry and how artists can navigate it successfully.TakeawaysPerry Marshall transitioned from engineering to marketing after being laid off.Direct marketing was a turning point in Perry's career.The internet revolutionized marketing practices.AI is changing the landscape of marketing significantly.Marketing is about helping people find each other, not just selling.Unique perspectives are crucial in a noisy market.Niche markets can be more profitable than large markets.Passion projects can enhance creativity and business.The music industry has evolved, making it easier for artists to promote themselves.Creativity can be expressed in various ways beyond traditional methods.Chapters00:00 Introduction to Perry Marshall's Journey04:15 The Transition from Engineering to Marketing07:40 The Impact of the Internet on Marketing10:41 AI's Role in the Future of Marketing13:26 The Evolution of Marketing Definitions16:20 The Importance of Unique Perspectives in Marketing19:26 Navigating the Changing Landscape of Marketing22:16 Case Study: Solar Quotes Australia25:30 The Future of Design and Marketing Expertise29:24 The Value of Live Performance in the Digital Age32:18 Navigating the Music Industry's Challenges34:09 Finding Your Unique Market Niche36:32 Building Relationships with Your Audience41:58 The Evolution of Music Promotion46:41 The Role of Physical Media in Music Today53:27 Balancing Passion and Profit in Creative PursuitsConnect with Perry: Website: ⁠⁠⁠https://www.perrymarshall.com/Credits:Hosted by Ryan Roghaar & Mike SmithProduced by Ryan RoghaarTheme music: "Perfect Day" by OPM  The Eggs Podcast Spotify playlist:bit.ly/eggstunesThe Plugs:The Show: eggscast.com@eggshow on X and InstagramOn iTunes: itun.es/i6dX3pCOnStitcher: bit.ly/eggs_on_stitcherAlso available on Google Play Music!Mike "DJ Ontic": Shows and info: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠djontic.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@djontic on twitterRyan Roghaar:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠rogha.ar

If you're a Manifestor, this episode is your personalised 2026 forecast and part three of the 2026 "Future of Business" series. I'm taking the five business themes from Episode 2 (episode 305 of the All That Jazze Podcast) and the major astrological transits from Episode 1 (Episode 304) and translating them specifically for you as a Manifestor in business. And I'll say it - I genuinely think the 2026 transits were made for Manifestors.The biggest evolution for a Manifestor isn't always the business strategy. It's getting comfortable being misunderstood - because making yourself smaller so everyone gets it is the thing that's crushing your energy, your vision, and your conversions.What You'll Learn:❤️‍

TOPICS Episode 309*Benfica, FC Porto, Sporting CP, SC Braga, Vitoria SC & Other Liga Stuff of Interest.*Prestianni/Vinicius Jr.*Ruben Amorim's Future.*Match Day 23. 

Mr. Adnan Nasir is a seasoned professional with over 2 decades of experience in the digital banking and telecom sector. He is SEVP, Group Chief, Digital Banking Group at National Bank of Pakistan.He has also served for Bank Alfalah Ltd, where he served as the Head of Digital Payments. Previously, he was Executive Director at Telenor Bank/Easy paisa, and before that, he held the position of Head of Product Development at Telenor Pakistan. He carries vast experience in driving digital transformation alongside an understanding of people, product, and process optimization for digitalization.The Pakistan Experience is an independently produced podcast looking to tell stories about Pakistan through conversations. Please consider supporting us on Patreon:https://www.patreon.com/thepakistanexperienceTo support the channel:Jazzcash/Easypaisa - 0325 -2982912Patreon.com/thepakistanexperienceAnd Please stay in touch:https://twitter.com/ThePakistanExp1https://www.facebook.com/thepakistanexperiencehttps://instagram.com/thepakistanexpeperienceThe podcast is hosted by comedian and writer, Shehzad Ghias Shaikh. Shehzad is a Fulbright scholar with a Masters in Theatre from Brooklyn College. He is also one of the foremost Stand-up comedians in Pakistan and frequently writes for numerous publications. Instagram.com/shehzadghiasshaikhFacebook.com/Shehzadghias/Twitter.com/shehzad89Join this channel to get access to perks:https://www.youtube.com/channel/UC44l9XMwecN5nSgIF2Dvivg/joinChapters:0:00 The Future of Digital Banking3:26 Whatsapp Banking8:00 QR codes and Cashless21:30 Banks and Financial Apps28:00 Gen-Zs 31:50 Digital Services35:00 Branchless Banking and the Unbanked44:00 Paypak50:00 The future of banking

Welcome to “The Future of Running” podcast on Head Start presented by Brooksee and hosted by Phil Dumontet.In this episode, Phil sits down with Hugh Brasher, CEO of London Marathon Events — the organization behind the TCS London Marathon, the UK's biggest street party and the largest single-day fundraising event in the world. From its origin story in 1979 to its place today as one of the most iconic races on the planet, this is a conversation about belief, responsibility, and stewarding something bigger than a start line.What is running's true superpower? How do you deliver an individual, deeply personal experience at massive global scale? And what does it mean to lead a race that belongs not just to runners, but to a city, a country, and a global community? Hugh shares how London balances elite excellence with grassroots inclusivity — and why mental barriers, not physical ones, are often the hardest to break.We also look ahead. Where will the TCS London Marathon be in 2030? In 50 years? As technology advances, will race day become more digital — or more human? A thoughtful conversation on legacy, belief, and what it takes to steward one of the world's most important endurance events into its next era.Send a text

This episode is a full “build a business in 40 minutes” demo showing how AI collapses what used to take teams (creative production + sales ops + support) into a handful of prompts. Samruddhi generates a high-production video ad in Google AI Studio using a JSON-style prompt framework, then spins up a working voice sales/support agent in Vapi via Claude Desktop + MCP—so the agent is created from a single prompt instead of clicking through the UI. The conversation also covers why “interfaces matter less” in an agent-first world, why workflow tools (like n8n) still have a role, and how memory layers like Mem0 unify context across channels (email/WhatsApp/etc.) so you can take actions without hunting.Timestamps0:00 — “Single person billion-dollar company” belief + AI driving 10x execution speed1:57 — Plan: create the ad in Google AI Studio (Veo 3.1) + build a voice agent using Vapi MCP via Claude Desktop2:42 — Smithery: marketplace for MCP servers3:39 — MCP for non-technical listeners: “like an API, but agents use it to talk to external services”4:22 — Inside Vapi MCP: tool list = APIs the agent can choose from5:06 — AI Studio setup: video generation playground + select Veo 3.16:16 — JSON prompting framework begins (structure → production-level output)6:28 — Keys: description, style, camera, lighting, environment, elements, motion, ending, text9:05 — Prompts/scripts can be AI-generated (humans provide guardrails)10:41 — Need an API key to generate videos in AI Studio10:54 — Ad review: strong realism; last segment looks AI-ish → iterate prompt13:05 — Install Vapi MCP via npx from Smithery + add Vapi API key13:46 — Claude Desktop: Vapi MCP appears under Connectors/Tools (not Claude web)14:05 — Prompt the agent build: “Fresh Pause” + role, tasks, FAQs, call flows18:23 — Testing: “Talk to assistant” starts a live call simulation19:20 — Deployment: assign a phone number; Vapi provides free/test numbers (up to a limit)21:57 — Mem0 / Supermemory: memory layer across apps/agents to keep context24:13 — Why memory layers help: fewer MCPs → less slowdown/hallucination; no need to specify where to search26:36 — MCPs + slide decks: mention of Gamma MCP via Claude27:34 — Future of n8n/Zapier: they persist, but prompting increasingly generates workflows31:38 — Prediction market trading algos (Kalshi/Polymarket) + AI improves speed/decision-making36:02 — Closing vision: help orgs 10x execution speed, especially non-technical leaders (40+) with domain expertiseTools & technologies mentionedGoogle AI Studio (Video Generation Playground) — Generate an 8-second video ad.Veo 3.1 — Google video model used for “production-level” output.JSON Prompting Framework — Structured key/value prompts for story, visuals, camera, lighting, motion, ending frame.Claude Desktop — Runs connectors/tools (including MCP servers).MCP (Model Context Protocol) — Lets agents call external services/tools based on intent.Smithery — Directory/marketplace for MCP servers.Vapi — Voice agent platform; create agents + assign phone numbers.Vapi MCP Server — Enables Claude to operate Vapi via prompts (create/list/configure).npx — Installs MCP server quickly from the terminal.API Keys — Required for AI Studio generation + Vapi authentication.Mem0 / Supermemory — Cross-channel memory layer to retrieve context automatically.Knowledge Graph — Underlying structure for semantic retrieval across interactions.Glean — Referenced as a comparison point for search/context retrieval.Gamma MCP — Example of generating slide decks via MCP.n8n / Zapier — Workflow automation tools discussed in an MCP-first future.OpenClaw — Mentioned as agent tooling that can help with steps like obtaining API keys.Kalshi / Polymarket — Prediction markets referenced in the trading/AI speed discussion.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

College sports are at a breaking point — and everyone knows it.In Episode #164 of Cincy Sports Scene, we tackle one of the biggest debates in sports today: How do we actually FIX college athletics? From NIL deals and transfer portal free agency to a possible 24-team College Football Playoff and March Madness expansion talks, the system is changing fast… but is it getting better?We cut through the headlines and give real solutions — not just complaints — including the one controversial change we believe could save college sports before tradition, rivalries, and competitive balance disappear for good.If you care about the future of college football, college basketball, and what this means for fans, schools, and athletes, this is the conversation everyone will be having next.⏱ Episode Breakdown0:00 – Cold Open: College Sports Are Broken1:45 – What NIL Was Supposed to Be vs What It Became10:30 – The Transfer Portal + NIL = Free Agency?20:15 – NCAA Leadership Problems & Real Fixes28:40 – The Future of the College Football Playoff (24-Team Debate)37:10 – Why Expanding March Madness Could Be a Mistake44:00 – Our Blueprint to Fix College Sports

Let us know what you think! Text us!  Entrepreneur and author Miles Spencer joins Deny Caballero to discuss positivity, mentorship, fatherhood, and legacy. This episode explores intergenerational storytelling, global perspective, and the mission behind Reflecta.Topics Covered: • Positivity through adversity • Fatherhood and adventure • Intergenerational storytelling • Reflecta platform • Mentorship and entrepreneurship • Building legacy with intention

In this conversation, Dr. Jack Kall discusses his journey into biological dentistry, emphasizing the importance of nutrition, biocompatibility in dental materials, and the evolving landscape of dental practices. He addresses the ongoing debates surrounding fluoride and mercury fillings, highlighting recent developments and the future of biological dentistry as a mainstream practice. Want to see more of The Holistic Dentistry Show? Watch our episodes on YouTube! Do you have a mouth- or body-related question for Dr. Sanda? Send her a message on Instagram! Remember, you're not healthy until your mouth is healthy. So take care of it in the most natural way.  Key Takeaways: (00:00) The Journey into Biological Dentistry (04:24) Understanding Holistic and Biological Dentistry (07:16) The Role of Biocompatibility in Dental Materials (09:47) Innovations in Dental Treatments and Technologies (12:42) The Fluoride Debate: Current Status and Perspectives (27:28) Mercury Fillings: Progress and Challenges (33:51) The Future of Biological Dentistry (45:46) Official Outro Holistic Dentistry (1).mp3 Connect With Us:  AskDrSanda | YouTube BeverlyHillsDentalHealth.com | Instagram  DrSandaMoldovan.com | Instagram  Orasana.com | Instagram

In this episode of "The Free Lawyer" podcast, host Gary interviews Amy Mariani, a former trial attorney turned mediator and arbitrator. Amy discusses her career journey, the challenges of traditional legal practice, and her transition to mediation. She shares insights on the emotional and practical aspects of mediation, the impact of virtual platforms like Zoom, and the importance of self-reflection and mentorship for lawyers. Amy emphasizes aligning career choices with personal values and offers practical advice for selecting mediators and resolving disputes creatively.For over twenty years, Amy represented individuals and businesses in employment, personal injury, and business disputes. Many of those cases went to trial, but Amy resolved many others through effective and creative negotiation. Her experiences working for regional and national firms exposed her to the unique needs of individuals, small and medium businesses, and multi-national corporations. This in turn gives her insights into their similar and disparate interests and concerns during the mediation process.Since 2013, Amy's mediation skills have saved hundreds of individuals and businesses thousands of dollars, countless hours of time, and immeasurable amounts of stress.Amy's Career Pivot: Motivation and Reflection (00:02:16) Reality vs. Expectation of Trial Law (00:03:24) Law Firm Experiences: Pros and Cons (00:05:36) Advice for Lawyers Feeling Unsatisfied (00:08:50) Overcoming the Mental Hurdle of Career Change (00:11:05) Building a Mediation Practice: Early Challenges (00:12:54) Checkpoints for Career Satisfaction (00:13:47) Transition to Mediation: Process and Distinctions (00:15:01) Amy's Mediation Approach and Pre-Mediation Process (00:17:18) Handling Emotions in Mediation (00:19:31) The Value of Being Heard in Mediation (00:21:57) Court-Ordered Mediation and Emotional Release (00:23:05) Zoom vs. In-Person Mediation: Pros and Cons (00:24:02) Benefits of In-Person Mediation (00:25:12) Trends and the Future of Dispute Resolution (00:27:01) Personal Freedom Through Mediation (00:29:10) The Role of Mentorship and Coaching (00:30:45) Advice for Lawyers Seeking Alignment and Fulfillment (00:32:28) Creative Conflict Resolution and Mediator Selection (00:34:28) Qualities of an Effective Mediator (00:36:04)You can find The Free Lawyer Assessment here- https://www.garymiles.net/the-free-lawyer-assessmentWould you like to learn what it looks like to become a truly Free Lawyer? You can schedule a complimentary call here: https://calendly.com/garymiles-successcoach/one-one-discovery-callWould you like to learn more about Breaking Free or order your copy? https://www.garymiles.net/break-free

Harry and Daniel dive into the swashbuckling fairy tale classic The Princess Bride with filmmaker and special guest Michael Lukk Litwak, director of Molli and Max in the Future.Directed by Rob Reiner and written by legendary screenwriter William Goldman (adapting his own novel), The Princess Bride is a story of fencing, fighting, torture, revenge, giants, monsters, chases, escapes, true love—and, yes, miracles. But it's also something more: a distinctly Jewish-inflected fairy tale wrapped in the rhythms of a grandfather's bedtime story.Harry, Daniel, and Michael explore Goldman's wry, self-aware storytelling voice, Reiner's humanistic direction, and how the film balances sincerity and satire without ever winking too hard. They unpack Mandy Patinkin's unforgettable turn as Inigo Montoya, the comedic brilliance of Wallace Shawn and Billy Crystal, and the film's surprising emotional depth beneath all the quotable lines.Together, they ask: What makes this fairy tale feel so grounded? How does Jewish humor shape the film's tone? And why has The Princess Bride endured as a generational touchstone for audiences who can quote it line for line?As you wish… it's an episode about storytelling, myth-making, and why true love (and a good screenplay) conquers all.The Princess Bride TrailerThe Princess Bride in IMDBMichael's LinksFollow Michael on InstagramWatch Molli and Max in the FutureConnect with Jews on Film online:Jews on Film Merch - https://jews-on-film.printify.me/productsInstagram - https://www.instagram.com/jewsonfilm/Twitter - https://twitter.com/jewsonfilmpodYouTube - https://www.youtube.com/@jewsonfilmTikTok - https://www.tiktok.com/@jewsonfilmpod

Coach Jon Sumrall LIVE: Inside Florida's Future & the Gators' New Era

Welcome to episode 233 of Sports Management Podcast. Today's guest is Gloria Mariwa - a footballer, professional freestyler, digital creator known as 14thgunner and founder of Wecheza. At just 19, she's building the future of African women's football at the intersection of sports, tech, and community. We spoke about: Why women's sports shouldn't copy the men's model How sports tech must evolve Why investing in African women's sports might be the smartest move you can make right now And much more!  SPONSOR: Listeners of the Sports Management Podcast get an exclusive 20% off on SportsPro+ with the code SMPOD20. All you need to do is head to sportspro.com/membership and start exploring today. Time stamps: 00:00 Intro 01:00 Building 14thgunner 04:30 Growing Women's Football in Kenya 07:37 Why Women's Sports Must Build Their Own Model 08:30 The Future of Sports Tech & AI 09:41 Creators vs Traditional Media 12:03 Why YouTube Could Win Sports Streaming 14:31 Copying the West? Or Building Africa's Own Model 16:57 The Kenyan Sports Landscape 18:36 The Meaning Behind Wichesa 19:34 Grassroots Impact in Women's Football 24:46 University or Startup Life? 26:48 Monetizing as a Young Creator 27:53 Advice for Young Sports Professionals 30:29 Redefining Sports Tech 32:23 Invest in African Women's Sports Follow Sports Management Podcast on social media Instagram Twitter LinkedIn YouTube www.sportsmanagementpodcast.com

What does it look like when passion, community, and craftsmanship come together to build more than a business? In this episode of The Trades Podcast, hosts Jeff Mudd and Danny Torres sit down with Talena Handley, CEO of Girly Garage, to explore how a single idea can grow into a vibrant community built around cars, confidence, and connection.In this episode, Jeff and Danny sit down with Talena Handley, CEO of Girly Garage, a community-first company dedicated to making automotive education accessible and empowering. Talena discusses how Girly Garage was built around the idea that anyone can learn to work on vehicles confidently when given the right instruction, environment, and support.The conversation dives into the importance of inclusive training, breaking down barriers in male-dominated industries, and using community engagement as a foundation for growth. Talena also shares insights on leadership, building events that inspire connection, and nurturing a loyal audience that feels ownership in the brand's mission.Resources & MentionsGirly Garage Website: https://www.girliegarage.com/About Girly Garage: https://www.girliegarage.com/aboutThe Trades Podcast: https://www.thetradespodcast.comWhat You Will LearnHow inclusive education strengthens confidence and skillsWhy community matters in trade and automotive fieldsHow Girly Garage expanded from local meetups to a thriving brandThe role of leadership in fostering inclusivity and belongingPractical insights for building community-driven business growth Chapters00:00 Introduction to The Trades Podcast01:00 Meet Talayna Handley: Founder of Girly Garage03:31 The Birth of Girly Garage08:17 Empowering Through Education11:31 The Importance of Automotive Knowledge12:54 Expanding Girly Garage's Reach15:12 The Gender Gap in Automotive Mechanics18:50 Safety and Education in Automotive Training20:36 The Future of Trades and Education24:28 Challenges Facing Small Businesses27:21 The Role of Girly Garage in Automotive Education30:56 Career Paths in Automotive Industry35:08 Staying Grounded in the Trades37:30 The Vision for Girly Garage's Future  About The Trades PodcastWebsitehttps://www.thetradespodcast.comHosted byJeff Mudd and Danny TorresThe Trades Podcast features real conversations with business owners, trades leaders, and industry innovators making an impact in the skilled trades community. Support the Trades MovementIf this episode inspires you, share it with someone in the trades or anyone thinking about starting a home-services business. Like, comment, and subscribe to help more people discover these conversations.

What happens when you deploy to prod on a Friday and it starts firing emails to every customer? Dan Barckley has lived it — and it's why he's now a DevOps believer. In this episode: accidental admin origins, why simple beats complex every time, Agentforce skepticism, and the leadership mindset that changes everything.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2About Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters:01:36 Introducing Daniel Barckley: A Journey in Salesforce04:16 The Joy of Problem Solving in DevOps07:05 Learning from Mistakes: The Accidental Admin09:35 Tinkering and Innovation: Building in Salesforce12:37 The Importance of Mentorship and Leadership15:21 Characteristics of Great Leaders18:18 Navigating the Salesforce Ecosystem20:46 The Future of Salesforce: AI and Automation23:46 Data Management and Business Continuity26:43 Iterative Development and Continuous Improvement29:19 Embracing Change in the Tech World32:11 Closing Thoughts: Lead with Curiosity

In this episode, we explore how artificial intelligence is revolutionizing HR, with a focus on building trust through data privacy and security. Join us as we discuss practical steps, emerging challenges, and the evolving role of HR professionals in the AI era. Key Topics: The importance of foundational data quality before implementing AI in HR Securing sensitive employee data and managing privacy concerns The role of semantic layers and data organization for effective AI use How AI impacts HR workflows and transforms knowledge work Practical approaches to integrating AI responsibly and securely Education needs for HR to understand AI risks and opportunities Future trends: AI's potential to reinvent HR practices, not just automate Resources & Links: Fuel 50 - Workforce Mobility and Talent Pipelines Amazon - Book: Data Privacy and Security in the Cloud Flurry - Official Website Amazon Bedrock - AI Model Service Anthropic - AI Safety and Privacy Guarantees OpenAI - Responsible AI Use Connect with Brian Platts: LinkedIn Twitter Timestamps:  00:30 - Welcome and introduction to the episode 01:15 - Brian Platts' background in HR and software 02:08 - Flurry's mission to make data meaningful for HR 03:26 - Fun fact: starting career driving a semi truck 04:44 - AI in HR: privacy, security, and data foundations 05:53 - Preparing your HR data for AI adoption 06:08 - Challenges with data quality and use cases 07:08 - Security considerations: private vs. public data 08:22 - Trusting AI vendors and data-sharing risks 09:15 - Teaching AI to query data securely 10:07 - Data organization and semantic layers 11:29 - Improving chatbots and avoiding misinformation 12:26 - Ensuring process accuracy and data integrity 13:14 - Sharing vs. protecting employee data 14:05 - Re-implementing permissions in AI-driven systems 15:01 - Education and awareness around AI security 16:13 - Learning from SaaS security issues during early cloud adoption 17:18 - HR's role in AI education and safeguarding IP 18:14 - Balancing productivity gains with security controls 19:06 - AI's impact on HR future: automation and new workforce roles 20:16 - The concept of the “Meat Layer” and human-AI collaboration 21:02 - Will AI replace HR jobs or empower them? 22:16 - The limits of current AI technology and future innovations 23:03 - Analogies: AI as a horse and the importance of tooling 24:06 - Embracing AI to enhance human work rather than replace it 25:16 - Reinventing HR processes beyond IT-led automation 26:18 - Regulatory challenges and incremental HR AI adoption 27:30 - How HR can lead responsible AI integration 28:03 - Final advice for HR professionals: think broadly and connect the dots

In this episode, we unpack a viral AI essay that compares today's AI moment to February 2020 the calm before global disruption.The author argues that AI has entered a new “phase change.” That systems like GPT-5.3 Codex and Claude Opus 4.6 are no longer just assistants, but autonomous agents capable of planning, executing, and iterating complex work independently.But is this reality or hype?As UX designers, we don't need panic.We need perspective.In this episode, I explore:What the viral article actually claimsWhy it's spreading so fastWhat “agentic AI” really meansHow leading voices are reacting — from optimism to skepticismAnd how you can prepare long-term as a designer in an accelerating worldThis isn't about fear.It's about clarity, adaptability, and momentum.Here are some of the voices referenced in this episode. I highly recommend exploring their work and forming your own opinion:Matt ShumerFounder & AI entrepreneur. Author of the viral “February 2020 moment” essay.Nate B. JonesAI commentator discussing the “phase change” toward agent swarms and autonomous systems.YouTubeAllie K. MillerAI advisor and former Amazon AI leader. Talks about “information asymmetry” and hands-on benchmarking with advanced AI systems.LinkedInAnn HandleyMarketing leader and author advocating against AI panic — emphasizing human judgment and relationships.LinkedInGary MarcusAI researcher and cognitive scientist offering a skeptical counterpoint on reliability and hype.SubstackAI for Designers: 5-week Bootcamp

Why does FUTURE sound like "fuchure"?In this English Makes No Sense episode, we break down why the T + U combination sometimes sounds like CH in American English.You'll learn:✔ When TU becomes /tʃ/✔ Common -ture words✔ Words that DON'T follow the rule✔ Clear pronunciation practicePerfect for ESL learners who want clearer American pronunciation and better listening skills.#EnglishMakesNoSense#EnglishPronunciation#LearnEnglish#ESL#SpeakEnglish#AmericanAccent#PronunciationTips#ESLPodcast

What does it really take to build teams that can adapt, move fast, and still stay human? In this episode of The Future of Teamwork, Dane Groeneveld chats with Sam Spurlin, an organization designer, future of work strategist, and transformation advisor who has spent the past decade helping executive teams rethink how work happens. Together, Dane and Sam dig into ideas like mission-based teams, team charters, and how AI can play a role in teaming. If you're rethinking hierarchy or curious about self-managed teams, this episode offers thoughtful insights and plenty of practical takeaways.

Its a DUDE CAST!!!! When KT is away, the boys will...well...be boys! In this episode of the Talk My Credo Podcast, the boys delve into a variety of topics including the diaspora wars between African immigrants and "Foundational Black Americans" surrounding recent fiery posts made during Black History Month. They also talk about the war between Candace Owens and Turning Point USA, with the former exposing the latter's farce Super Bowl Halftime Show. Nas and P Shaw reviews Katt Williams' recent special "The Last Report", with a heart-felt tribute to the late Jesse Jackson and honoring the impact he's had on American society. Oh, and dont forget a riveting conversation on the concept of 90s Fine! Tap in and lets get active!!-------------------------*** CHAPTERS ***00:00 Introduction and Updates on KT02:42 Discussion on Valentine's Day and Social Norms05:23 Controversial TikTok Incident and Reactions07:23 Exploring Identity and Cultural Dynamics10:13 The Impact of Historical Context on Current Issues12:59 Navigating Perspectives and Accountability15:47 Concluding Thoughts on Cultural Identity22:27 Xenophobia and Historical Context27:35 Identity and Ancestry32:35 Accountability and Projection38:09 Gaslighting and Clarification42:41 Candace Owens and Conservative Controversies44:34 The Backlash of Pro-Israel Advocacy46:39 The Halftime Show Controversy50:59 Cat Williams' Comedy Evolution01:01:54 Fashion and Identity in Comedy01:04:34 NBA All-Star Weekend Highlights01:06:07 The Competitive Spirit of Basketball01:08:05 Cultural Significance of the Game 2101:08:13 Debating the All-Star Game's Authenticity01:10:08 The Evolution of Basketball Players01:10:39 The Impact of Race in Basketball01:13:14 Injuries and Their Consequences in Sports01:15:00 The Future of the All-Star Game01:18:32 The Legacy of Jesse Jackson and Political Commentary01:27:42 The Legacy of Jesse Jackson01:28:47 Imagining a Different America01:30:18 Cultural Influences and Representation01:31:06 Defining '90s Fine: A Cultural Discussion01:36:04 The Evolution of Beauty Standards01:42:30 Critique of Media Representation01:42:55 Nostalgic Reflections on Iconic Women01:46:53 The Impact of Beauty Standards in Media01:48:57 Cultural Icons and Their Evolution01:56:32 Community Engagement and Content Creation---------------

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Hello, Audio Visitors!This week, we welcome back former Disney Cast Member and Beyond the Mouse Podcast Host Brett Rutherford! Yay! We talk about his time at the both the groundbreaking and opening day of Hollywood Studios and his thoughts on the evolution and future of the park. Episode 212:Hollywood Studios:Past, Present & Future with Brett Rutherford Listen here:https://linktr.ee/ofmiceandmainstreetmenCheck out links to the shop and travel agency:OfMiceAndMainStreetMen.comShare this episode with your friends and help us spread the gospel of Of Mice & Main Street Men! Thank you for listening! Cheers!Tristan #disneypodcast #waltdisneyworld  #waltdisney #disneyfans #ofmiceandmainstreetmen 

Last week, John Maxwell shared three of his six insights for surrounding yourself with people who can accelerate your growth journey. In this week's episode, John Maxwell is revealing the last three, so you can get yourself around great people!  After his lesson, Mark Cole and Traci Morrow unpack John's lesson so you can apply these principles in your own leadership. Key takeaways:  Being unforgettable isn't about showing off—it's about finding innovative ways to serve others and do for them what they can't do for themselves.  True vision matures when you move from "me" to "we," inviting participation and building energy that attracts great people to your cause.  Leadership influence grows when your inner character and spirit outshine outward achievements. Our BONUS resource for this episode is the How to Surround Yourself with Great People (Part 2) Worksheet, which includes fill-in-the-blank notes from John's teaching. You can download the worksheet by visiting MaxwellPodcast.com/GreatPeople and clicking "Download the Bonus Resource." This episode is sponsored by BELAY: Leaders, stop trying to do it all yourself. The best leaders know their limits, operate out of their strengths, and set others up for success. Find freedom with BELAY — pairing you with vetted U.S. virtual assistants so you can focus on what matters. To help you get started, BELAY is offering Maxwell Leadership listeners a free download of their resource, The Future of Executive Partnership: Why AI Isn't Enough. Just text MAXWELL to 55123 for FREE access. References:  Watch this episode on YouTube! Get the Change Your World online course for 66% off Accelerate your growth with the Maxwell Leadership App (start your 7-day free trial today with code PODCAST7!) 5 Ways to Win With People Podcast Episode Join the Maxwell Leadership Certified Team

The benefits of maintaining a neighborhood garden go well beyond the dinner plate. Kate Brown is distinguished professor in the history of science at MIT, and she joins host Krys Boyd to discuss how community gardens often turned impoverished neighborhoods into thriving city centers, why they can yield sometimes more than professional farms and how they continue to build community even today. Her book is “Tiny Gardens Everywhere: The Past, Present, and Future of the Self-Provisioning City.” Learn about your ad choices: dovetail.prx.org/ad-choices

Donald Trump has given Russia and Ukraine a deadline to end the war, and it's approaching fast, as in June… June is when the longest war in Europe since WWII is supposed to end, but neither side seems to be budging. So the question is… how committed is Trump to the deadline, and what options might he consider... diplomatic pressure, economic incentives, military involvement, or something else to try to achieve it?SPONSOR: Lear CapitalThe best way to invest in gold and silver is with Lear Capital. Get your FREE Gold and Silver investor guides from Lear Capital. And, receive FREE bonus metals with a qualified purchase.Call them today at 800-707-4575 or go to: Nick4Lear.com-----GET YOUR MERCH HERE: https://shop.nickjfreitas.com/BECOME A MEMBER OF THE IC: https://NickJFreitas.comInstagram: www.instagram.com/nickjfreitas/Facebook: https://www.facebook.com/NickFreitasVATwitter: https://twitter.com/NickJFreitasYouTube: https://www.youtube.com/@NickjfreitasTikTok: https://www.tiktok.com/@nickfreitas3.000:00:00 Possible Paths for US Involvement in Ukraine00:01:17 Trump's June Deadline for Russia-Ukraine Peace Deal00:02:40 The Budapest Memorandum and New Security Guarantees00:04:33 Europe's Responsibility and US Financial Frustrations00:10:32 Battlefield Map and Current State of the Conflict00:14:58 Negotiating Peace: Territorial Demands and Strategic Interests00:22:34 Option One: The US Washes Its Hands00:33:26 Option Two: Pressuring Ukraine for Territorial Concessions00:41:09 Option Three: Massive US Military Intervention and Air Power00:54:01 Trump's Brinkmanship and the Future of the Conflict