Podcasts about Talent

In part two, Max Fosh joins Dr Alex George to unpack how he first got started on YouTube, why confidence is a vital part of content creation and shares some actionable tips for anyone looking to start a career in social media.Plus, Max reflects on his time at Harrow School - and how a school cricket match taught him the true meaning of perseverance… Follow @max.fosh and subscribe to his YouTube channel here. Order Alex's latest book Am I Normal? - out now!Order Happy Habits - out now! Follow the podcast on Instagram @thestompcastGet the new, pocket guide version of The Mind Manual nowDownload Mettle: the mental fitness app for men Hosted on Acast. See acast.com/privacy for more information.

Go to www.LearningLeader.com The Learning Leader Show with Ryan Hawk This is brought to you by Insight Global. If you need to hire one person, hire a team of people, or transform your business through Talent or Technical Services, Insight Global's team of 30,000 people around the world has the hustle and grit to deliver. www.InsightGlobal.com/LearningLeader My Guest: Jesse Cole is the owner of the Savannah Bananas. He went $1.8 million in debt, slept on an air mattress, and built a business that is now valued at over a billion dollars. I spent half a day with Jesse in Savannah watching practice, and Jesse gave me a personal tour of their entire operation. It was incredible. Notes: Fans First - The sign is on every locker. And leading out to the field, "Tonight is someone's first time seeing our show." Obsessed/Focused - Banana Ball/Serving people is his life. We didn't talk about hobbies, TV shows, or anything other than what they're doing now and in the future. He's obsessed with what he does and super focused. Transparent - Jesse just released their full P&L as a private company: revenue, expenses, player salaries, everything. Most businesses guard this religiously. He's completely transparent. I asked why, and he said, "Fans first. They deserve to know everything." Reps - We went to the field to watch practice. It looked just like a game. Players were dancing all the time. And every single rep they practiced as a trick play (behind the back, through the legs, etc.). They never play normal baseball. You wonder how they are so good on gameday at doing a backflip while catching a fly ball. Because they practice it thousands of times without fans so that when they're there, they put on a great show. Hiring – "Love your people more than you love your customer." 12,000 people on the waitlist to work for the Bananas. When you hire, have them do a "fans first" essay. Then they write a future essay.  Always Be Caring, Different, Enthusiastic, Fun, Growing, & Hungry Fans First: The Counter-Intuitive Decision - Jesse sacrificed $6 million in ticket revenue after a system messed things up for fans.  Merch – 787,000 fans purchased merchandise in 2025, totaling 1.96 million total items. That means the average person is purchasing ~2.5 items at checkout, with 80% of total sales taking place in person. 621,000 at live shows versus 166,000 online. It's a $50m business! TV: The Distribution Strategy - Giving Away Value - Jesse insisted on free YouTube streaming even when ESPN wanted exclusivity. Jesse is building a zero-profit secondary ticket market. He's literally giving away things other sports properties would monetize. So, even with all of the team's games still airing for free on YouTube, the Bananas averaged 500,000 viewers on ESPN, The CW, and Roku. The team's most-watched broadcast was a July 4th game at Fenway Park, which averaged 837,000 viewers on ESPN, making it the holiday weekend's most-watched primetime sports broadcast. TV networks want exclusivity, but you demand that the games still be broadcast for free on YouTube (in addition to whatever channel they are on) Social Media - The Bananas added 12.7 million new social media followers in 2025 alone. That pushes their total social media following across all channels north of 35 million... Roughly 2x more followers than MLB's most popular team, the Yankees, at 18 million. You have to believe something before you achieve something. Six years ago, Jesse said, "We're gonna sell out Fenway Park," and his team looked at him like he was crazy (they were a college summer baseball team, not even doing tours yet). You have to get through the messy to get to the great. Their first world tour was brutal: the sound was terrible, the show wasn't great, the game finished in the seventh inning because they didn't have a rule to make it go nine innings. See what's best for the guest, not what's best for the business. Walt Disney was the first to go into full-length animation, color, sound, and with Disneyland, he focused on one entrance to control the experience, custom rides, and invested in a castle and landscaping, which made no money. Go where others won't go. Sam Walton went to small towns, and no one paid attention to him for the first five to ten years. It's somebody's first time every night. Fans wait three years on a waitlist to come to a game, so Jesse doesn't care if you're having a bad day. That's their first time. Control the entire experience. Walt learned he couldn't control the experience when people watched his movies at a theater (it could be dirty, and people might not be nice), so he built Disneyland. Who do we work for? Fans. Jesse opened the books completely (numbers, player salary, merch sales, everything) because they have a responsibility and accountability to their fans. We have to feel our mistakes. When they sent a wrong email to 44,000 fans instead of 4,000, it cost them $6 million to take care of those fans with tickets (more than the company brought in their first five years). We need to have bigger failures. If we're not trying things big enough, we won't have bigger failures and mistakes that cost us a lot more in the future. Turn mistakes into moments. After the $6 million email mistake, Jesse set up a Zoom call with all 44,000 people, had everyone turn their cameras on, and apologized while looking at every single person. Build something you wish existed for yourself. Jesse played baseball until he couldn't anymore. He put so much pressure on himself that it wasn't fun anymore, and he was told he wasn't good enough. Design every second of the first-day experience. When players showed up, they went to a parking lot with a DJ at 8:30 AM. Three buses arrived with balloons, hundreds of people lined the streets cheering, Man-nanas served munchkins on silver platters, a custom hype video played, the host introduced from the roof, and fireworks went off. Every player has been told they're not good enough. All Bananas players have been drafted or been top college players, and at some point, they've all been rejected, cut, told to hang it up. Obsession is awesome. If you can find something you're obsessed with, so few people in the world get to have that. Watch the best of the best obsess over details. Derek Hough (one of the greatest dancers) wasn't just focusing on the dance; he was producing while dancing, telling the camera crew exactly where to come, when to hit him, and where he would wink. No one goes home excited about normal. No one says, "That restaurant was really normal, the waiter served it the same way, the food was pretty normal, the parking lot was normal." Whatever's normal, do the exact opposite. Normal gets normal results. There's a lot of normal in the world, but not a lot of extraordinary. Put yourself in the customer's shoes and eliminate friction. Where's the game tonight? On Amazon, Peacock, CBS, NBC? Jesse threw away millions to keep all games free on YouTube because that's a friction point. Your fans will reward you. The Bananas sold over 1.9 million merch items last year because they built something people are proud of and want to wear. If people don't want to wear your merch, you haven't made them feel something yet. One fan gets a new Bananas tattoo every year (he's got six logos on his leg now). Invest everything in the experience, spend zero on traditional marketing. Make the experience so good that fans will share with everyone that this is something they haven't experienced before. Social media growth came from trying and stumbling into learning. In 2016, an intern said he could create videos; they did a lip sync to "Can't Stop the Feeling" by Justin Timberlake. It wasn't even well-produced, but they tried. Give energy back because of how good it feels. A woman came up to Jesse on a cruise and said she was there because he gave her a hug at a Sacramento game the day after her sister died. She came on the cruise to give him a hug back. Do what gives you energy. Jesse's entire day is filled with things that give him energy: being with people, rehearsing shows, banana ball youth meetings, broadcast team, and talented writers. Have people who love to execute. You do what gives you energy and have them execute at a high level. Be very involved at the beginning (get the idea and vision right) and at the end (make adjustments).

12:30pm - Brian Duff and Marty Biron are joined by Martin Vidal CEO of Trusted Talent on his company projects with the Sabres

Texas Tech and Houston are redefining Big 12 recruiting battles as Joey McGuire and Willie Fritz rack up top talents like Jalen Brewster and Keisean Henderson, proving it's more than just NIL deals fueling their momentum. Will Tech's addition of star quarterback Kavian Bryant finally unlock an offensive surge—and can Houston's local recruiting surge make them championship contenders? Brian Smith and Marc Henry spotlight SMU's metroplex recruiting strategies, unsung playmakers like DeSoto's SaRod Baker and Richland's Jayshon Gibson, and rising phenoms in Texas high school football. Insider analysis reveals why DFW and Houston prospects like John Meredith III, Eli Johnson, and Braylen Cunningham are vaulting into the national conversation. Don't miss this fast-paced breakdown of the state's deepest talent pools and the behind-the-scenes chess masters shaping Texas football's future. Everydayer Club If you never miss an episode, it's time to make it official. Join the Locked On Everydayer Club and get ad-free audio, access to our members-only Discord, and more — all built for our most loyal fans.  Click here to learn more and join the community: https://theportal.supercast.com/ Help us by supporting our sponsors!  5-Hour ENERGY Have your cake & drink it too. Birthday cake-flavor is back, no fork needed. Vanilla-y cakey flavor, caffeinated kick, and no sugar. It's party time. Order Now at https://5-hourENERGY.com or Amazon. Mazda Like our players, we're driven by the details. Because highlights make the reel. What it takes to get there makes it count. There's more to a Mazda. Because there's more to you. Turbo Tax For a limited time, you can have your taxes done by a local TurboTax expert for just $150 — all in, if a TurboTax expert didn't file for you last year. Just file by February 28. Take taxes off your plate and get back to your life.  Visit https://TurboTax.com/local to book your appointment today.  Indeed Listeners of this show get a $75 Sponsored Job Credit to help give your job the premium placement it deserves at http://Indeed.com/podcast FanDuel Use your Profit Boost on an NBA future and get entered for your chance to win a trip to the NBA Finals.  Play your game with FanDuel, the official sports betting partner of the NBA. Visit https://FANDUEL.COM to get started.  FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expire in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Las Vegas Raiders on SI Senior Beat Writer Hondo Carpenter breaks down the Silver and Black from inside the facility on the latest edition of the Las Vegas Raiders Insider Podcast on PFI Pro Football Insider. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ioana shares recent field insights on vibe coding, design culture, and AI-driven strategies. She talks about the value of rapid experimentation, user-centric design, and the future of top design talent in 2026.This episode was recorded in partnership with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Wix Studio.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out these links:Preorder Ioana's upcoming book ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. The first 100 copies will be hand-signed.Ioana's ⁠⁠⁠co-working space⁠⁠⁠Join Anfi's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Job Search community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠The community includes 3 courses, 12 live events and workshops, and a variety of templates to support you in your job search journey.Ioana's AI project: ⁠⁠⁠⁠⁠⁠⁠⁠⁠aidesign-os.com⁠⁠⁠⁠⁠⁠⁠⁠⁠Ioana's ⁠⁠⁠⁠⁠⁠⁠⁠⁠WhatsApp group⁠⁠⁠⁠⁠⁠⁠⁠⁠Ioana's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AI Goodies Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ioana's Domestika course ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Create a Learning Strategy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Enroll in Ioana's AI course ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠"**AI-Powered UX Design: How to Elevate Your UX Career"**⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on Interaction Design Foundation with a 25% discount.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Into UX design⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ online course by Anfisa⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠❓Next topic ideas:Submit your questions or feedback anonymously ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow us on Instagram to stay tuned for the next episodes.

Send a textIn this Monday Morning Motivation episode of Small Business Survival Conversations, we explore The Tao of Success — the true path to building a sustainable and resilient small business.But what does “Tao” mean? Simply put, it means “the way.” And the real way to success isn't flashy marketing, overnight growth, or natural talent. It's patience, persistence, and steady improvement.Too many entrepreneurs believe they need to be the smartest, most connected, or most experienced person in the room. The truth? Talent will not replace persistence. Education alone will not guarantee success. What separates thriving small business owners from those who quit is their ability to keep going — calmly, consistently, and strategically — even when results feel slow.In this episode, you'll learn:✔ What “The Tao of Success” really means for entrepreneurs ✔ Why patience is a competitive advantage in business ✔ The difference between persistence and stubbornness ✔ How consistency reshapes your business over time ✔ Three practical action steps you can take this weekIf you're a small business owner feeling stuck in the “messy middle,” this episode will remind you that steady growth beats fast burnout.

The water sector is in the middle of a major transition, as decades-old challenges collide with powerful new technologies, workforce shifts, and rising public expectations. In this episode, Ralph Exton, Executive Director of the Water Environment Federation, unpacks how a nearly century-old organization is working to steer global water strategy. He breaks down WEF's three-pillar roadmap—building water communities, advancing workforce development, and leading circularity. The conversation from the Reservoir Center in Washington, D.C. also dives into the water–AI nexus, from the growing pressure data centers place on stressed watersheds to the launch of a new Center of Excellence designed to cut through misinformation and align utilities, regulators, and hyperscalers. Ralph discusses the move toward a circular water economy, including the recovery of resources from wastewater. The discussion closes with a look at workforce development, from managing a wave of retirements across the industry to training the next generation.waterloop is a nonprofit news outlet exploring solutions for water sustainability.

Pour écouter l'épisode en entier, tapez "#524 - Vincent Clerc - XV de France, McDonald's - L'incroyable destin d'un Grenoblois besogneux" sur votre plateforme d'écoute.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Jesus doesn't take the throne; He takes a towel. In a culture that worships charisma, platforms, and power, Jesus gets on His knees and washes feet. He rewrites greatness with humility and defines leadership as love. This week, Jesus unplugs our obsession with status and invites us into a kingdom where glory is found in stooping low.Support the show~ Changing lives with Jesus! Facebook | YouTubeInstagram @dscsienna

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Success at the highest level often hides a harder truth: discipline, sacrifice, and relentless pressure can coexist with loneliness, self doubt, and burnout. When winning becomes routine and falling is inevitable, mental toughness is no longer optional, it is survival. We dive deeper into this in the Habits & Hustle with Lindsey Vonn. We also chat about building resilience through failure, the real cost of elite performance, and redefining identity after retirement. Lindsey Vonn is an American former World Cup alpine ski racer on the US Ski Team. She won four World Cup overall championships and ranks third among female skiers behind Annemarie Moser Proll and Mikaela Shiffrin, with three consecutive titles in 2008, 2009, and 2010, plus another in 2012. What's Discussed (05:48) Talent, work ethic, and the role of family in building drive (12:22) Early elite training and the mental toughness it demands (26:03) Career ending injuries and mental health after retirement (29:59) A pro athlete's daily training balance of endurance, strength, and recovery (39:31) Entrepreneurship and social media's mental toll (47:24) Red light therapy, recovery tools, and what actually helps injuries (53:45) Daily routines that support long term health (1:02:09) Building resilience and confidence through the Lindsey Vonn Foundation Thank you to our sponsors: Rho Nutrition: Try Rho Nutrition today and experience the difference of Liposomal Technology. Use code JEN20for 20% OFF everything at https://rhonutrition.com/discount/jen20. Prolon: Get 30% off sitewide plus a $40 bonus gift when you subscribe to their 5-Day Program! Just visit https://prolonlife.com/JENNIFERCOHEN and use code JENNIFERCOHEN to claim your discount and your bonus gift. Therasage: Head over to therasage.com and use code Be Bold for 15% off  Air Doctor: Go to airdoctorpro.com and use promo code HUSTLE40 for up to $300 off and a 3-year warranty on air purifiers. Magic Mind: Head over to www.magicmind.com/jen and use code Jen at checkout. Momentous: Shop this link and use code Jen for 20% off  Manna Vitality: Visit mannavitality.com and use code JENNIFER20 for 20% off your order  Amp fit is the perfect balance of tech and training, designed for people who do it all and still want to feel strong doing it. Check it out at joinamp.com/jen  Find more from Jen:  Website: https://jennifercohen.com Instagram: @therealjencohen Books: https://jennifercohen.com/books Speaking: https://jennifercohen.com/speaking-engagement Find more from Lindsey Vonn: Website: https://lindseyvonn.com Instagram: @lindseyvonn Youtube: @LindseyVonn TikTok: @lindseyvonn Lindsey Vonn Foundation: https://lindseyvonnfoundation.org

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Felecia Hatcher. Purpose of the Interview To spotlight Black Ambition, a national initiative founded by Pharrell Williams that funds and mentors Black and Brown entrepreneurs. To share insights on entrepreneurship, access to resources, and strategies for scaling businesses. To inspire and educate small business owners and innovators on how to leverage opportunities for growth. Key Takeaways About Black Ambition Founded by Pharrell Williams to close the opportunity gap for Black and Hispanic entrepreneurs. Provides capital, mentorship, and masterclasses to help founders scale. Has invested in 131 companies and awarded millions in funding. Competition Structure Annual national competition with 2,500–3,000 applications. Categories include HBCU, National Finalists, Top Prize Winner, People’s Choice. Process: Applications → 250 semifinalists → 3-month cohort → Demo Day for top 20–25 companies. Unique Approach Focus on high-quality mentorship, not “low vibrational” guidance. Includes mental health and wellness support for entrepreneurs. Partnerships with brands like Louis Vuitton for luxury retail insights. Challenges for Entrepreneurs Many fail by rushing applications and skipping info sessions. Success requires clarity, traction, and persistence—sometimes multiple attempts. Black women are the fastest-growing entrepreneurs but often remain solopreneurs; Black Ambition prioritizes team-building. Pharrell’s Motivation Believes in democratizing opportunity: “Talent is not equally distributed by zip code, but opportunity can be.” Inspired by those who believed in him early in his career. Felecia Hatcher’s Journey Former founder of Center for Black Innovation and Black Tech Week. Emphasizes resilience: “I’m a C student and a college dropout, but I never let that define me.” Advocates for creative pathways to success and capital access. Notable Quotes “Success leaves clues.” – On learning from past winners. “Talent is not equally distributed by zip code, but opportunity can be.” – Pharrell’s guiding principle. “If it doesn’t work on you in that moment, it works for you in that moment. Either way, it works.” – On persistence. “We have to start enjoying the process… be stretched, be cut by the process.” – On entrepreneurial growth. “Wealth has a need for speed.” – On urgency in closing the wealth gap. #SHMS #STRAW #BESTSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Todd Rose is a visionary leader and brilliant mind reshaping our understanding of human potential and the future of leadership. From overcoming academic struggles to achieving a GED and multiple Harvard degrees, his journey is a testament to resilience and the pursuit of meaningful impact. With profound insights into individuality, success, and the power of authenticity, Todd challenges conventional thinking, inspiring us to embrace our unique "jaggedness" and build a world where true potential flourishes.Takeaways:The 'Because' - Deeper Than Your Why: Discovering your core, intrinsic motivators, like the profound life-altering realization Todd had when holding his son for the first time, provides unwavering accountability and purpose throughout life's journey.The Power of Fit and the "Jaggedness Principle": Understanding that human beings are multi-dimensional and excel in specific contexts, rather than being universally good or bad, is crucial for finding environments where individual talents and passions can truly thrive.Collective Illusions and Authentic Success: Many societal beliefs about success are misalignments between what people genuinely desire (meaning, contribution, relationships) and what they falsely believe others value (fame, fortune), leading to widespread dissatisfaction and resentment.Sound Bytes:"It was one thing to mess up your own life. It's very different when you realize the responsibility you had to this, this person that didn't ask to be born.""Collective illusions are simply groupthink, but you're wrong about the group.""No amount of achievement on things that other people cared about increases life satisfaction at all."Connect & Discover Todd:Instagram: @ltoddroseLinkedIn: @todd-roseX: @ltoddroseWebsite: toddrose.comBook: Collective IllusionsBook: Dark HorseBook: The End of Average

A seven-year-old chooses the cello because “you get to sit,” and decades later becomes a sought-after pedagogue who reshapes how students think about practice, expression, and careers. That's the arc that The Cello Sherpa Podcast host, Joel Dallow, explores with cellist and educator Melissa Kraut, equal parts heart, humor, and hard-won clarity.We dive into the early thrill of playing by ear and the long road to loving theory, including candid stories about faking through parts and finally discovering how analysis deepens expression. Melissa explains why Suzuki training transformed her teaching, giving her a surgeon's eye for root causes: when an advanced player stalls, she can trace the issue to its origin and rebuild from first principles. Along the way, mentors like Alan Harris and Hans Jorgen Jensen model how systematic thinking liberates phrasing, color, and timing rather than boxing them in.The conversation widens to what it means to teach now. Melissa shares how raising a daughter on the spectrum reframed her communication: if the student can't demonstrate understanding, the language must change. She “takes the temperature” at every lesson, pairs high standards with genuine kindness, and treats misses as information instead of verdicts. We talk about the pressures of social media, the myth of perfection, and practical strategies for separating identity from outcome so players can do deep, focused work without self-punishment.Shifting from the Cleveland Institute of Music to the DePaul University School of Music, Melissa unpacks the differences between a pure conservatory and a conservatory mindset within a university. Chicago's rich ecosystem, symphonic partnerships, chamber culture, and a wider campus life, offers students fresh ways to grow. And for anyone wrestling with career decisions, Melissa's advice is grounding: start with a small “why,” let it evolve, and build your path step by step. Talent gets you moving; clarity, systems, and connection keep you climbing.If this resonates, follow the show, share it with a friend who needs a nudge, and leave a quick review to help others find us. What's your why right now?For more information on Melissa: https://www.melissakraut.com/You can also find Melissa on FacebookIf you are looking for in person/virtual cello lessons, or orchestral repertoire audition coachings, check out www.theCelloSherpa.comFollow us on Facebook, Instagram, Threads & YouTube: @theCelloSherpaFor more information on our sponsor: www.CLEAResources.com 

In this episode I am once again joined by Alex W, long term practitioner of Zen, Pragmatic Dharma, and Western Occultism. Alex takes a deep dive into the world of magick to compare esoteric systems from around the world including Western Occultism, Tibetan Buddhism, Indian Tantric and Goddess systems, Santeria and more. Alex gives a history of the development of Western Occultism, exploring the Egyptian mysteries, Neoplatonism, Catholic mysticism, Kabbalah, Shi'ism, Wicca, the Golden Dawn, Thelema, Chaos Magic and beyond. Alex discusses esoteric techniques such spellcraft, opening the psychic senses, working with entities, mantra, yantra, alchemy, astrology, and divination. He considers the tension between natural talent and practiced skill, reviews strategies for protection against curses and entity oppression, and recounts his own path as a practitioner of the occult. … Full episode: https://www.guruviking.com/podcast/ep349-deep-dive-into-magick-alex-w Also available on Youtube, iTunes, & Spotify – search ‘Guru Viking Podcast'.
 … Topics include: 00:00 - Intro 01:09 - History of magick 06:08 - Christianity as a reinterpretation of Egyptian mysteries of Osiris 06:40 - Syncretism of the Golden Dawn 08:48 - Thelema 09:50 - English vs French magick 11:10 - Wicca 12:55 - Chaos Magic 16:04 - Belief and manifestation 19:26 - Theory vs practice 20:52 - Neoplatonism 22:54 - Kabbalah 29:09 - Shi'ism, Sufism, and the Church fathers 30:42 - Renaissance 32:36 - Not superstition? 33:53 - Alex's magick path 35:32 - Training under Alan Chapman 38:21 - Scrying and the Holy Guardian Angel 40:10 - What is the HGA? 46:04 - The real initiation of Western Occultism 47:37 - Santeria and spirits 51:16- Exploring the Renaissance grimoires 54:56 - Catholic mysticism, angels, and saints 56:25 - Spellcraft 57:25 - Hinduism and Buddhist magick 01:03:33 - Mantra 01:07:29 - Yantras and Indo-European astrology 01:10:15 - Tantra as a ritual process to effect change and invoke spirits 01:11:34 - Ramnath Aghori Baba  01:12:51 - How Goddess traditions work 01:19:13 - Initiated by Kālī and the Dark Feminine 01:25:21 - Opening the psychic senses 01:27:19 - Kālī, Chinnamastā, and the Dark Feminine 01:30:41 - Hecate 01:33:10 - Dark spirits, ḍākinīs, and the 64 yogis 01:37:19 - Network of friends 01:41:06 - Past lives 01:42:38 - Astrology 01:46:12 - Which practice is right for you? 01:47:42 - Alchemy 01:48:46 - Why practice magick? 01:53:14 - Divination and protection against curses 01:54:28 - 3 magickal self defence methods 02:02:10 - How common are curses? 02:05:26 - Why seek the Western Tradition? 02:12:08 - Indian vs Tibetan tantra 02:15:29 - Is magick well understood? 02:20:34 - Talent, lineage, and technique 02:22:44 - Crowley's birthchart 02:27:32 - Alan & Duncan's relationship 02:29:08 - Dangers 02:35:089 - Spiritual psychosis 02:37:50 - Devotion … Previous episodes with Alex W: - https://www.guruviking.com/search?q=alex For more interviews, videos, and more visit: - www.guruviking.com Music ‘Deva Dasi' by Steve James

In this episode of the Lead Up Podcast, host Mike Harbour discusses why culture is a performance strategy and highlights a gap between employees who value strong culture and leaders who actively protect it. Drawing from research and ideas referenced in his book, ‘Quit Losing Talent,' Mike walks through 8 “silent” culture killers that often become normalized. For each culture killer, he outlines how it shows up in organizations, the cost to trust, engagement, decision speed, and retention, and the leadership shifts needed. Mike closes by challenging leaders to identify which of these issues they've normalized and invites listeners to share the episode and discuss it with their executive teams. If you enjoyed this episode, be sure to leave a 5-star review on your streaming platform. Mike encourages you to reach out to him through Mike@harbourresources.com to share your thoughts on this episode & to share some topics you would like him to cover in the future.

In today's Cloud Wars Minute, I unpack why one founder's departure may mark a turning point in the AI Era. Highlights 00:03 — There's huge news today in the AI space. Peter Steinberger, founder of OpenClaw, has joined OpenAI. Now I'll start by giving you some background on OpenClaw and its significance in the industry, followed by my commentary on why this is such a shake-up. 00:56 — Perhaps the most remarkable aspect of OpenClaw is its capability to handle these [active computer use] tasks through just basic prompts. For instance, you can say, "Book me a flight from New York City to Austin, Texas, leaving Friday around 9 a.m," and it will go ahead and do it for you. 01:29 — [OpenAI CEO] Sam Altman mentioned that Steinberger is joining OpenAI to drive the next generation of personal agents. This move by OpenAI will no doubt garner significant support from the open-source community, as well as see the recruitment of a talented individual who's already proven his worth in building a new class of AI products. 02:09 — The community even described OpenClaw as, and I quote, Claude with hands. It was a major driver of traffic for Anthropic, recommending Claude Opus 4.5 as its default model. Ultimately, Steinberger fell out of love with Anthropic, and as a result, the company may have missed out on one of the most important hires in the AI Era to date. Visit Cloud Wars for more.

HR3 - Falcons should be able to get 1st round caliber WR & DL talent with 48th pick In hour three Mike Johnson, Ali Mac, and Beau Morgan quickly touch on some of the biggest headlines around the local and national sports scene, react to the latest news, rumors, and reports in the NFL as they go In The Huddle, continue to react to The Athletic putting out their first beat writer mock draft, react to Atlanta Falcons beat writer for The Athletic Josh Kendall mocking Alabama wide receiver Germie Bernard to the Falcons with the 48th overall pick, explain why they think the Falcons should draft an interior defensive lineman with their 48th overall pick despite their need at wide receiver, react to Atlanta Braves starting pitcher Reynaldo Lopez consistently sitting around 93 miles per hour and hitting 94 miles per hour during the second inning of yesterday's live batting practice, talk about how this is a promising sign for Lopez, and then close out hour three by answering people's questions about anything in the Morning Mailbag!

In the Season 8 premiere of the Williston Works Podcast, host Anna Nelson sits down with Dr. Zahi Atallah, Vice President of Academic Affairs at Williston State College, to discuss how the college is expanding healthcare programs to meet growing workforce needs in northwest North Dakota.From a new state-of-the-art facility to expanded nursing, EMT, and medical assistant programs, Dr. Atallah shares how partnerships, innovation, and local investment are helping train and retain the next generation of healthcare professionals right here at home.Learn more about Williston Economic Development:https://www.willistondevelopment.com

No 2 Crew-Generic Non Talent 30sec Revised by

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 the Leadership and Learning Podcast, host Randy Goruk talks with Ryan Hogan, founder and CEO of Talent Harbor about how leaders in construction and building materials can recruit better employees and retain them longer. Ryan shares the three critical phases of effective hiring. You'll also learn: Why generic job descriptions fail How to build a simple blueprint for every role How to write posts that attract the right people and repel the wrong ones Low‑cost, high‑impact retention strategies A powerful interview question that reveals attitude, ambition, and fit  Early warning signs of disengagement and quiet quitting The critical impact of the first 72 hours and first 90 days of onboarding  Creative, practical recruiting tactics specific to the building trades and construction If you're a leader who's tired of constant turnover and wants to become a true talent magnet, this episode is packed with practical ideas you can start using this week. Website: https://talentharbor.com/ Ryan Hogan email: ryan@talentharbor.com  

Former Senator Jim Talent discusses the precarious state of Iran's regime, emphasizing its threat to U.S. national security and support for terrorism, while analyzing the strategic opportunities for U.S. military and political action. Talent connects Iran's destabilization to broader geopolitical shifts in Venezuela and Cuba, assesses the implications of recent congressional funding for ICE, and critiques Alexandria Ocasio-Cortez's security conference remarks as a political misstep that could hinder her future ambitions. Hashtags: #JimTalent #Iran #USStrategy #Venezuela #Cuba #ICE #AlexandriaOcasioCortez #USNationalSecurity #MarkCoxMorningShow

The stage is set! In A Knight of the Seven Kingdoms Episode 5, Dunk finally makes his stand at Ashford Meadow. We're breaking down the recruitment of the champions, the Targaryen family drama between Baelor and Maekar, and that massive cliffhanger leading into the finale! Donate Here - https://www.paypal.com/donate?hosted_button_id=Y6TSU94STL9PU All our Links - https://linktr.ee/theundergroundxn What is our Value for Value System? Value for Value is a listener based business model where you determine the value our content is worth. If you feel you are getting value from our content, please consider becoming a supporter by donating your time, talent, & treasure. Time: meaning any effort you put in to improving or developing our content or sharing it. Talent: meaning any skills you possess that you want to contribute to help us develop our platform (ie., artwork for podcast episodes, branding design, editing, etc). Treasure: pay a one-off amount or a recurring contribution for the value you think our service is worth. Please be sure with any payment you send via PayPal to include a note, so that we can read it on the livestream, if you'd like. Your donations keep our content advertisement free. Thank you. Where do you support us? Click the direct.me link to find our PayPal link for contributions as well as our YouTube, TikTok, Instagram, and Twitter links! We appreciate the engagement from all of you! Please note any amount will remain anonymous upon request. All donors will receive a special mention on the show unless otherwise noted. Note: The Value for Value business model originated with Adam Curry & John C. Dvorak of the No Agenda Podcast. https://www.youtube.com/watch?v=PgihPtnBSek

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, technology, and society. Hosts Dave Chapman, Esmee van de Giessen, and Rob Kernahan unpack 2026's defining trends, from AI and sovereignty to adaptability and automation, offering fresh insight, candid reflections, and forward‑looking conversations shaping the year ahead. TLDR00:20 – Introduction of Realities Remixed02:30 – Why the show evolved?04:50 – Dig in with the team: Predictions for 202606:40 – Macro trends13:00 – Sovereignty 17:40 – Agentic AI22:17 – Human–AI interaction26:06 – Cloud trends30:42 – AI scaling, domain‑specific models35:03 – Adoption lag39:34 – Physical AI43:47 – Quantum computing48:21 – Hardware acceleration50:30 – Cybersecurity52:38 – Season outlook HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

While discussing whether or not the Steelers should draft a QB this year in the early rounds. Adam Crowley, Dorin Dickerson and Pat Bostick address many of the factors that have contributed to QB talent progressively getting worse in the NFL over the last few years.

2.18.26 Hour 2, Tobi Altizer goes over a mock draft from Daniel Jeremiah where he has the Commanders taking a top prospect. Tobi Altizer discusses the Commanders possibly drafting Arvell Reese with their pick at number 7 and how he would fit on the Commanders' new defensive scheme. Tobi Altizer asks callers for their opinion on if they like the fit for Arvell Reese in Washington.

In this episode of the Clear Admit MBA Admissions Podcast, we welcome special guest Todd Milbourn, the Dean of the SMU Cox School of Business, to talk about leadership, the future of management education, and why Texas has become one of the most dynamic environments for business talent. In this special episode, Dean Milbourn discusses how artificial intelligence is reshaping management education, how Texas is emerging as a new center of gravity for finance in the U.S. and how that impacts SMU Cox students, what the business school is doing to remain a leader in the energy sector, the interdisciplinary strengths of SMU and advice for applicants, and more.

Hiring ready-made talent is harder than ever, especially for small businesses competing in an AI-driven job market. In this episode, workplace futurist Alexandra Levit explains how work-based learning programs can help small businesses build a sustainable talent pipeline while addressing the youth employment crisis. Learn how apprenticeships, internships, and mentorship-driven workforce development strategies can close the skills gap, strengthen community ties, and improve employee retention. If you are looking for practical ways to recruit, train, and retain skilled workers without relying solely on traditional college degrees, this conversation offers a clear, actionable roadmap. Today we discussed: 00:00:00 Introduction 00:00:23 Building a Talent Pipeline with WBL 00:00:56 What Is Work-Based Learning? 00:02:19 Youth Employment Crisis and Skills Gap 00:04:38 Trade Stigma and Shifting Labor Demand 00:07:08 GPS Education Partners Model 00:13:16 Starting Small: Employer Playbook 00:17:22 Certifications, AI Skills, and Metrics Rate, Review, & Follow If you liked this episode, please rate and review the show. Let us know what you loved most about the episode. Struggling with strategy? Unlock your free AI-powered prompts now and start building a winning strategy today!

Episode Overview In this episode of the Breakfast Leadership Show, Michael sits down with Bob to explore how executive benefits, financial strategy, and intentional planning can become powerful levers for retention, profitability, and long-term organizational stability. The conversation moves beyond surface-level benefits discussions and into how leaders can treat benefits as strategic assets rather than routine expenses. Executive Benefits and Client-Centered Strategy Bob shared how his firm specializes in executive benefits across a wide range of business types, emphasizing a strong track record of successful audits and high client satisfaction. A core differentiator is their commitment to treating each organization and executive as unique, rather than applying one-size-fits-all solutions. Michael reinforced the importance of personalization, noting that meaningful client experiences and tailored benefits strategies are essential in today's challenging business environment. Both acknowledged that retention pressures and rising benefits costs require leaders to think more strategically about how benefits are designed and communicated. Optimizing Executive Benefits Through Technology and Design Bob explained how his company supports small and mid-sized organizations in optimizing executive benefit plans through a proprietary technology platform. This system simplifies complex benefits structures, uncovers missed opportunities, and helps organizations make smarter, data-driven decisions. He outlined their comprehensive nine-step service model, covering plan design, participant education, and full administrative support. The result is a 95 percent participation rate, significantly higher than the industry average of approximately 40 percent. Education plays a central role, ensuring participants understand both the value and tax efficiency of their plans. When structured properly, executive benefits can evolve from cost centers into strategic profit centers. Benefits Planning, Tax Strategy, and Organizational DNA Michael emphasized that benefits planning must align with an organization's core identity and values. Too often, tax considerations, particularly for high-income earners, are overlooked or addressed too late in the process. He stressed the importance of conducting a detailed employee census to account for demographics, compensation structures, and changes resulting from growth or acquisitions. Without this depth of analysis, organizations risk leaving significant savings on the table for both the business and its people. Superficial benefits planning, he noted, often creates long-term inefficiencies and dissatisfaction. Financial Strategy, Asset Management, and Long-Term Value The conversation expanded into broader financial management practices. Bob and Michael discussed common mistakes organizations make, including failing to leverage tax deductions, net operating losses, and proper income treatment. Bob shared real-world examples of how disciplined asset management and strategic planning can unlock liquidity, generate cash flow, and improve financial resilience. They also touched on the role of charitable giving and how intentional structuring can benefit both the organization and its mission. Education, once again, emerged as a critical theme. Leaders who understand their financial statements and benefits structures are better positioned to make confident, sustainable decisions. Financial Stewardship and Organizational Survival Michael highlighted the sobering reality that many once-successful organizations no longer exist, often due to poor financial stewardship and short-term thinking. He pointed out that financial and benefits assets are frequently treated as administrative afterthoughts rather than strategic resources. Both agreed that organizations that actively manage these areas, especially during uncertain economic conditions, dramatically improve their odds of long-term survival and cultural stability. Executive Benefits as a Retention and Protection Tool Bob closed by emphasizing the strategic role of executive benefits such as deferred compensation and restricted stock units. Beyond retention, these tools help protect institutional knowledge and corporate intellectual property. He noted that high-performing organizations often implement these programs at a lower relative cost than struggling companies, largely because they plan proactively rather than reactively. Bob encouraged leaders to take advantage of executive benefits audits, which are offered at no cost, to identify inefficiencies, reduce expenses, and strengthen retention strategies. Key Takeaway Executive benefits and financial strategy are not administrative checkboxes. When aligned with organizational values, supported by education, and managed intentionally, they become powerful tools for retention, resilience, and long-term leadership success. https://BenefitRFP.com   Bob Nienaber (916) 838-0866  

About the Guest(s):Andre Lewis is a seasoned basketball coach and director with nearly 20 years of experience. He has played a pivotal role in developing young athletes and helping them pursue opportunities in higher education and professional basketball. Throughout his career, Andre has contributed significantly to the basketball community, mentoring standout players during critical developmental years and guiding families through the ever-changing AAU landscape.Episode Summary:In this episode of It's Just Different, host Ashley Roberts sits down with Andre Lewis to unpack the modern state of AAU basketball.What was once centered around development has shifted toward a more transactional and commercialized model. From NIL conversations to exposure-driven decisions, today's youth basketball environment demands strategy, clarity, and long-term thinking.Andre shares nearly two decades of insight into how parents should approach club selection, why eighth grade is a pivotal year, and how to balance skill development with exposure. He also addresses one of the biggest myths in youth basketball — that only top-tier teams create college opportunities.This episode is a must-listen for parents navigating the AAU journey and athletes looking to stand out in a crowded recruiting landscape.Key Takeaways:AAU basketball has shifted toward a more transactional model.Parents should begin thinking strategically about club alignment by eighth grade.Development must come before exposure.Athletes don't have to be on elite teams to earn opportunities.Strong community and communication matter more than ever in the transfer portal era.Resources for Basketball ParentsJoin the Basketball Parent Community:https://www.ashleynroberts.com/communityDownload the FREE Guide (Save Time, Money & Stress):https://ashleyroberts.kit.com/subscribeGet the Basketball Parent Toolkit:https://www.ashleynroberts.com/produc...Shop DIFFERENT merch (Use code Podcast for 15% off):https://itsjustdifferentapparel.com

In this segment, Mark is joined by Jim Talent, a Former US Senator from Missouri. Talent discusses the potential for a military strike on Iran, takeaways from the Munich Security Conference and Democrats' lack of preparation for it.

In hour 1 of The Mark Reardon Show, Mark is joined by Leland Vittert, a Host on NewsNation, a Former Fox News Reporter, a St Louis Native & Former KMOX Intern and the Author of "Born Lucky: A Dedicated Father, a Grateful Song, and My Journey with Autism." They discuss President Trump heading to Georgia as midterm election campaigning begins, the latest on Nancy Guthrie, how Trump will handle a potential attack on Iran and more. Mark is then joined by Jim Talent, a Former US Senator from Missouri. Talent discusses the potential for a military strike on Iran, takeaways from the Munich Security Conference and Democrats' lack of preparation for it.

In hour 1 of The Mark Reardon Show, Mark is joined by Leland Vittert, a Host on NewsNation, a Former Fox News Reporter, a St Louis Native & Former KMOX Intern and the Author of "Born Lucky: A Dedicated Father, a Grateful Song, and My Journey with Autism." They discuss President Trump heading to Georgia as midterm election campaigning begins, the latest on Nancy Guthrie, how Trump will handle a potential attack on Iran and more. Mark is then joined by Jim Talent, a Former US Senator from Missouri. Talent discusses the potential for a military strike on Iran, takeaways from the Munich Security Conference and Democrats' lack of preparation for it. In hour 2, Sue hosts, "Sue's News" where she discusses the latest trending entertainment news, this day in history, the random fact of the day and more. Later, Mark discusses Will Leitch's recent piece on the Winter Olympic Curling scandal. In hour 3, Mark is joined by Duane Patterson, with Hot Air, the Host of the Duane's World Podcast and the producer of The Hugh Hewitt Show. They discuss if an American air strike could happen soon on Iran, Colbert's CBS politician interview lies and more. Mark is later joined by Jeff Rainford, with Rainford & Associates and a Former Chief of Staff to Mayor Slay. He shares his take on the St Louis Business Journal's piece that outlines all of the infrastructure problems facing the city of St. Louis. They wrap up the show with the Audio Cut of the Day.

Jake & Ben Full Show from February 18, 2026 Hour 1 Will AJ Dybantsa's success at BYU make it easier for them to land NBA Talent in the future? Top 3 Stories of the Day: How will the Utah Jazz handle their rotation to close the season? Team USA Hockey vs Sweden today, and previewing BYU Rematch at Arizona.  Jelly Roll joins the Meghan Trainor Club.  Hour 2 BYU Insider Mitch Harper joined the show to talk about the team losing Richie Saunders for the season.  What You Got Wednesday: Best Winter Olympic Events & Best Disney Characters.  Did UCLA Head Coach Mick Cronin cross the line with this student reporter? 

Hour 1 of Jake & Ben on February 18, 2026 Will AJ Dybantsa's success at BYU make it easier for them to land NBA Talent in the future? Top 3 Stories of the Day: How will the Utah Jazz handle their rotation to close the season? Team USA Hockey vs Sweden today, and previewing BYU Rematch at Arizona.  Jelly Roll joins the Meghan Trainor Club. 

On February 17, 2026 — exactly five years since we lost Rush Limbaugh — The Right Side presents this special edition tribute to the most consequential voice in American broadcasting history.In this heartfelt episode, Doug Billings celebrates the life, courage, humor, and unmatched legacy of Rush Limbaugh. From his 30 million weekly listeners to the factory workers, farmers, moms, and everyday Americans he defended every single day, Rush didn't just host a radio show — he built a movement that is still winning today.Hear the full tribute and recommit to the fight he started: defending the nuclear family, free enterprise, the unborn, our military, and the timeless principles that made America great.Rush's famous line still rings true: “Talent on loan from God.” Today we honor how he used every ounce of it.If this episode moves you:✅ Subscribe on your favorite platform✅ Leave a 5-star rating & review✅ Share with one friend who loves this countryThe fight continues. The best days are still ahead.We will never forget.Full video version also available on YouTube. Subscrite there to Doug's channel: @TheRightSideDougBillings#RushLimbaugh #RushLimbaughTribute #5thAnniversary #TheGreatOne #EIBNetwork #ConservativeTalk #TalentOnLoanFromGod #RememberRush #MAGA #TheRightSide #DougBillings #February172026 #ConservativePodcastSupport the show

This week we provide a public service and read reviews of popular male entertainment. Plus, other random pendejadas.

Watch the YouTube version of this episode HEREAre you a law firm owner who is looking to enhance your online presence? In this episode of the Maximum Lawyer Podcast, Tyson interviews Adam Williams, a lawyer and entrepreneur passionate about personal branding and social media growth. The discussion covers practical strategies, the importance of authenticity, and the challenges lawyers face in building an online presence. Tyson and Adam chat about how lawyers can create engaging videos for their business. One thing to keep in mind about creating engaging videos is that audiences love the human connection. Videos that are perfect and edited using every tool don't get the most views. For Adam, his successful videos are the ones where he is using selfie mode and walking down the street, within imperfect sound in the background and stumbling over his words. This is because these videos are more real and authentic. It is something to keep in mind when creating videos.Adam provides some insights on starting from ground zero when it comes to creating a presence online. It is best to find a few accounts that you enjoy and take from them. Look at what they do and how well it works. From there, you can “rip off and deploy”. Use those concepts as ideas for how you create your videos because there is no need to reinvent the wheel. Once you figure out what you like, you can work to make it your own.Take a listen!10:02 Content Strategy and Use of AI 19:07 Advice for Creating Engaging Videos32:06 Positioning as an Expert and Relatability 41:39 Lawyers and Personal Branding Hesitation 47:40 Advice for Starting from Zero Online Connect with Adam:Website Instagram FacebookLinkedin Youtube  TikTokTune in to today's episode and checkout the full show notes here.

After stepping off stage from moderating a panel, a Senior Frontend Developer from Capgemini waited to say hello. She asked for a quick photo, and within minutes, we were deep in conversation about hackathons, women in tech, mentoring, and the pride she felt watching Egypt host a platform of this scale. Her name is Alaa Ali Kortoma, and what began as a quick introduction turned into her very first podcast appearance. In today's episode, you will hear directly from someone on the ground in Cairo about what AI Everywhere means to her, to Egypt, and to a generation of more than 750,000 graduates entering the workforce each year. We talk about bridging the gap between academia and industry, shrinking the distance between startups and investors, and why she believes AI represents opportunity rather than replacement. If AI really is everywhere, it should look like a possibility. It should look like inclusion. It should look like young women mentoring at hackathons. It should look like national strategies focused on responsible adoption and skills development. So let me beam your ears to Cairo and introduce you to Alaa Ali Kortoma. And after spending three days at AI Everything MEA, what does AI Everywhere mean to me? It is not hype. It is not a headline. It is policymakers embedding AI into public services. It is engineers building Arabic language models tailored to local needs. It is healthcare systems using AI to detect disease earlier. It is investors listening to founders. It is young professionals investing in themselves. One phrase from this conversation will stay with me long after the microphones were turned off. Proud and full of possibility. Over the last decade, I have seen technology stories unfold across continents, but Cairo reminded me why I started this podcast in the first place. Technology becomes powerful when it connects people. When it builds confidence. When it proves that innovation is not reserved for a select few regions. AI is often framed as a Silicon Valley or East Asia story. What I witnessed in Egypt suggests something broader is taking shape. Capital is flowing differently. Partnerships are forming across Africa and the Middle East. Talent is visible. Voices are confident. So if AI can thrive beside the Nile, if it can empower graduates in Cairo to see opportunity rather than threat, then perhaps AI really is everywhere. The final question is this. What does AI Everywhere look like where you are, and what role are you playing in shaping it? Wherever you are listening from, I would love to hear your story too.

Raleigh has long been one of the best-performing secondary markets. Its arena district is poised to be the next engine in its growth. Carolina Hurricanes CEO Brian Fork and Greater Raleigh Chamber CEO Adrienne Cole discuss how the Lenovo Center anchors a mixed-use redevelopment on state-owned land—structured through a complex public-private partnership.Public-Private Partnerships: The Lenovo Center anchors an 80-acre, 15-year, $1 billion arena-district redevelopment via a public-private/ground-lease structure.Talent, Talent, Talent: Raleigh's three tier-one research universities and multi-node job base keep attracting talent, companies and capital.By the Numbers: Strong population growth (2.2 million to 2.6 million by 2027) plus low cost-of-living (around 3% below national average) signal opportunity for investors.Local Color: Lenovo Center preserves a tailgating culture while adding retail, restaurants, structured parking and year-round activation.

Happy Tuesday rockaholics! Did you know Miles was so good at this?

As job growth slows and uncertainty lingers, more employees are choosing to stay put — even if they're disengaged. Doreen Coles, senior director of career growth and development of ADP, joins Monique Akanbi, SHRM-CP, to unpack the trend of “job hugging” and how it's reshaping career mobility and internal talent pipelines. They discuss how HR leaders can foster trust, development, and opportunity in a stay-put workforce.  This podcast is approved for .5 PDCs toward SHRM-CP and SHRM-SCP recertification. Listen to the complete episode to get your activity ID at the end. ID expires March 1, 2027.  Subscribe to Honest HR to get the latest episodes, expert insights, and additional resources delivered straight to your inbox: https://shrm.co/voegyz   ---  Explore SHRM's all-new flagships. Content curated by experts. Created for you weekly. Each content journey features engaging podcasts, video, articles, and groundbreaking newsletters tailored to meet your unique needs in your organization and career. Learn More: https://shrm.co/coy63r

In this episode, Kurt Schmidt sits down with Ben Bomar to dive into the importance of preserving institutional knowledge within organizations—especially when key employees retire or move on. Ben Bomar shares his expertise on how to capture the wisdom and practical know-how of longtime staff, ensuring a lasting legacy and smooth succession for businesses ranging from 20 to 500 employees. The conversation explores the real costs and risks of employee turnover, the shortcomings of traditional documentation and onboarding, and the value of scalable mentorship in today's fast-paced world (including a fun analogy with Japanese kintsugi!). Together, they discuss actionable ways to identify essential team members, document their unique contributions, and maintain company values as organizations grow or face workforce changes. Whether you're an entrepreneur, leader, or HR professional, this episode is packed with practical tips for investing in your team and future-proofing your company's operations.Check out Ben's work!www.lithyus.comhttps://www.lithyus.com/free-resources#2026toolkithttps://www.linkedin.com/in/benbomar/https://www.linkedin.com/company/lithyus/https://www.instagram.com/lithyusinsta/https://www.youtube.com/@LithyusGroupVisit https://schmidtconsulting.group for more show infoBecome a supporter of this podcast: https://www.spreaker.com/podcast/schmidt-list-business-insights--2664825/support.

In this episode of the AART, host Chris Stafford sits down with American film and television professional Nica Fazio for an honest, wide-ranging biographical conversation about her life, career, and personal journey working behind the scenes in the entertainment industry. Rather than focusing on technical details, this episode explores the human story behind a career spent on set—how Nica found her way into film and television, what drew her to the work, and how years in the industry shaped her identity, resilience, and outlook on life.Nica shares reflections on growing up, discovering creative communities, and navigating the realities of working in a demanding, often unpredictable industry. She talks about the challenges and rewards of life behind the camera, the importance of collaboration, and the relationships formed on set that leave a lasting mark long after the lights go down. Through personal stories and candid insights, Nica opens up about perseverance, adaptability, and the quieter moments that define a career not always seen by audiences. This episode of AART is about more than film and television—it's about finding purpose, learning to trust your instincts, and building a meaningful life through creative work. Whether you're an artist, filmmaker, or simply curious about the people who bring stories to life behind the scenes, this conversation offers a thoughtful and inspiring look at what it means to commit to a path and grow along the way. Nica's links:https://www.imdb.com/name/nm9717608/ https://www.instagram.com/nica.fazio/https://www.instagram.com/nicafaziophoto/ Nica's dinner party guests:My grandpaEllen KurasAva DuvernayLisa KudrowAmy WinehouseAlejandro González Iñárritu Some of Nica's favorite women artists:Elisa Capdevila (muralist from Barcelona she is amazing) Pixy Liao (photographer) Helen Levitt (photographer)Rina Yang (DP)Marjan Teeuwen (large scale architecture installations) Miska Mohmmed (abstract painting) Host: Chris StaffordProduced by Hollowell StudiosFollow @theaartpodcast on InstagramEmail: theaartpodcast@gmail.com Keywords Nica Fazio, AART Podcast, Chris Stafford podcast, film and television careers, women in film, behind the scenes film industry, film crew stories, creative career journeys, life in film and TV, entertainment industry biography, film podcast interview, personal stories from set life, American film professionals, storytelling behind the cameraBecome a supporter of this podcast: https://www.spreaker.com/podcast/women-unscripted--4769409/support.

In this episode of the AART, host Chris Stafford sits down with American film and television professional Nica Fazio for an honest, wide-ranging biographical conversation about her life, career, and personal journey working behind the scenes in the entertainment industry. Rather than focusing on technical details, this episode explores the human story behind a career spent on set—how Nica found her way into film and television, what drew her to the work, and how years in the industry shaped her identity, resilience, and outlook on life.Nica shares reflections on growing up, discovering creative communities, and navigating the realities of working in a demanding, often unpredictable industry. She talks about the challenges and rewards of life behind the camera, the importance of collaboration, and the relationships formed on set that leave a lasting mark long after the lights go down. Through personal stories and candid insights, Nica opens up about perseverance, adaptability, and the quieter moments that define a career not always seen by audiences. This episode of AART is about more than film and television—it's about finding purpose, learning to trust your instincts, and building a meaningful life through creative work. Whether you're an artist, filmmaker, or simply curious about the people who bring stories to life behind the scenes, this conversation offers a thoughtful and inspiring look at what it means to commit to a path and grow along the way. Nica's links:https://www.imdb.com/name/nm9717608/ https://www.instagram.com/nica.fazio/https://www.instagram.com/nicafaziophoto/ Nica's dinner party guests:My grandpaEllen KurasAva DuvernayLisa KudrowAmy WinehouseAlejandro González Iñárritu Some of Nica's favorite women artists:Elisa Capdevila (muralist from Barcelona she is amazing) Pixy Liao (photographer) Helen Levitt (photographer)Rina Yang (DP)Marjan Teeuwen (large scale architecture installations) Miska Mohmmed (abstract painting) Host: Chris StaffordProduced by Hollowell StudiosFollow @theaartpodcast on InstagramEmail: theaartpodcast@gmail.com Keywords Nica Fazio, AART Podcast, Chris Stafford podcast, film and television careers, women in film, behind the scenes film industry, film crew stories, creative career journeys, life in film and TV, entertainment industry biography, film podcast interview, personal stories from set life, American film professionals, storytelling behind the cameraBecome a supporter of this podcast: https://www.spreaker.com/podcast/aart--5814675/support.A Hollowell Studios ProductionInstagram: @theaartpodcast Email: hollowellstudios@gmail.com© Copyright: Chris Stafford | Hollowell StudiosAll Rights Reserved

The Learning Leader Show with Ryan Hawk Go to www.LearningLeader.com This is brought to you by Insight Global. If you need to hire one person, hire a team of people, or transform your business through Talent or Technical Services, Insight Global's team of 30,000 people around the world has the hustle and grit to deliver. www.InsightGlobal.com/LearningLeader My guest: Tom Hardin was known as "Tipper X" during Operation Perfect Hedge, the largest insider trading investigation in history. After making four illegal trades based on inside information, the FBI approached him on a Manhattan street corner and convinced him to wear a wire over 40 times, helping build 20 of the 81 cases. Key Learnings  Ambiguity is where ethical lines blur. Tom's boss said, "Do whatever it takes," after the hedge fund lost money, and as a junior employee, Tom didn't ask clarifying questions. The undiscussable becomes undiscussable. Leaders give ambiguous messages, then pretend they weren't ambiguous, employees get confused and don't question the boss, and you end up with a culture of silence. Making decisions in isolation is dangerous. The information came to Tom and he didn't talk to his boss or his wife (who probably would've slapped him around for crossing ethical lines). Psychological safety requires muscle memory. You have to practice saying "I'm just going to ask some clarifying questions here" when your boss gives ambiguous orders. Bad decisions aren't mistakes. Mistakes are made without intent, but bad decisions are made with intent. Tom told himself for years he made "mistakes," but on a drive home from speaking at a keynote, he realized: "There's no way I made mistakes. I made bad decisions." Never say never. Tom argues you're more susceptible to falling down your own slippery slope when you think "that would never be me." 80% of employees can be swayed either way. 10% are morally incorruptible, 10% are a compliance nightmare, and 80% can be influenced by the culture around them. Tone at the top means nothing. Company culture isn't the tone at the top or glossy shareholder letters; it's the behaviors employees believe will be rewarded or put them ahead. Reward character, not just results. You can't just focus on short-term performance and dollar goals without understanding how the business was made and what was behind the performance. The question isn't "what?" but "how?" If you're just focused on the numbers and not on how you got there, you have the opportunity to end up in a slippery slope situation. Celebrate people who live your values. Companies that spend millions on trips for people who live out shared values (not financial performance) are putting their money where their mouth is. Leaders must share their own ethical dilemmas. We've all been in situations where we could go left or right, and sharing how you worked through those moments makes you more endearing and a better leader. Keep a rationalization journal. When Tom and his wife have big decisions (or even little things), he writes them down in a rationalization journal and reflects on them once a month. He's still susceptible to going down another slippery slope, so checking himself on those passing thoughts improves his character over time. It's not what you say, it's what you do. Just like kids see what parents do (not what they say), employees see what behaviors leaders actually reward. $46,000 cost him $23 million. A business school professor calculated Tom would've made $23 million if he'd stayed on the hedge fund path, but he made $46,000 on the four illegal trades before getting caught. His wife was his rock. 85% of marriages end when something like this happens, and she had every right to leave. They just got married, no kids yet. But she stayed. When Tom interviewed her for the book 20 years later, she said, "All I remember is you accepted responsibility immediately. You didn't make up excuses." Running pulled him out of a shame spiral. Tom got obese as a stay-at-home dad. His wife signed him up for a 5K race (and beat him while pushing a jogging stroller). Just crossing that finish line lit a fire. He ended up running a 100-mile race.  Doing hard things teaches you that you can do hard things. When Tom had to start a speaking business because they were running out of money, he said, "I can do this" because he'd already put his body through ultramarathons. No challenge is insurmountable. He ended up with something better. It's not about status or money anymore; it's about who he is with his family and his relationships now. Windshield mentality, not rearview mirror. Tom can't change the past, but he can look forward instead of backward. A lot of people in their twenties do stupid stuff (maybe not to this degree), but now, in his forties, he can learn from it. Why not embrace it rather than try to scrub it off the internet? Eulogy virtues versus resume virtues. In his twenties, Tom only thought about resume virtues (how much money, the next job, the next stepping stone) and never about eulogy virtues (what people will say about his character when it's all over). What will people say at your eulogy? Will they still be talking about those four trades, or will they talk about who you became after? More Learning #226 - Steve Wojciechowski: How to Win Every Day #281 - George Raveling: Wisdom from MLK Jr to Michael Jordan #637 - Tom Ryan: Chosen Suffering: Become Elite in Life & Leadership Reflection Questions Tom's boss gave him an ambiguous message ("do whatever it takes"), and as a junior employee, he didn't ask clarifying questions. Think about the last ambiguous instruction you received from leadership. Did you ask clarifying questions, or did you fill in the blanks yourself? What's stopping you from creating psychological safety to ask next time? Tom argues that 80% of employees can be swayed either way by culture. Look at your organization right now. What behaviors are actually being rewarded? If someone asked your team "what gets you ahead here?" what would they honestly say? Tom asks: "Will people be talking about the resume virtues (money, titles, achievements) or the eulogy virtues (character, relationships, who you were) when you're gone?" What's one eulogy virtue you need to start prioritizing today, even if it means slowing down on resume building?

Guest: John Tamny. Using Elon Musk's ventures, Tamny illustrates that credit naturally seeks talent and innovation, arguing that Federal Reserve interest rates do not impact high-risk startups.