Podcasts about Boring

Why don't children love to learn anymore? Is it because of the subject matter or the WAY we are teaching?

From 'Baseball Isn't Boring' (subscribe here): Bradfo catches up with an old friend, who also just happens to be a Hall of Famer, David Ortiz. It's always a good time when these two get together, with this being no exception. In this sit-down in the JetBlue Park dugout, Bradfo and David talk about how clubhouses have changed, his relationship with Rafael Devers, and how he views his current existence as one of the game's most entertaining baseball analysts. It's a good time with Papi. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

After seven Metro Councilmembers brought a lawsuit challenging a state law making it a felony to vote in favor of “sanctuary policies,” the state has agreed it was unconstitutional. Contributor Nicole Williams joins host Marie Cecile Anderson and executive producer Whitney Pastorek to discuss that result. Plus, the resignation of NDOT's director; the push for a new state authority governing all things tunnel; and the hilarious news that U.S. Sen. Marsha Blackburn was asking for special treatment from NES during the ice storm. Get more from City Cast Nashville when you become a City Cast Nashville Neighbor. You'll enjoy perks like ad-free listening, invitations to members only events and more. Join now at membership.citycast.fm/nashville Want some more City Cast Nashville news? Then make sure to sign up for our Hey Nashville newsletter.  Follow us @citycastnashville You can also text us or leave a voicemail at: 615-200-6392 Interested in advertising with City Cast? Find more info HERE.

Starfleet Academy Episode 7 | Back to Being Boring After a brief uptick last week, Starfleet Academy Episode 7 drops right back into its worst instincts. On this episode of Thumb War, we unpack why the show's teen-drama focus, disconnected plots, and deeply questionable character choices make this one of the most frustrating episodes of the season — and why we're seriously debating whether to keep watching at all. When nothing happens, and nothing makes sense, it's hard to stay invested. Available on YouTube, Apple Podcasts & Spotify Support the show on Patreon for ad-free episodes & bonus content : http://bit.ly/44Mo8xU Like & Subscribe Leave a 5-star review if you're enjoying Thumb War Email us: ThumbWarPod@gmail.com Full Thumb War episode out now. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Our Love Expert, Kellie Rasberry, is here to solve your relationship issues! Learn more about your ad choices. Visit megaphone.fm/adchoices

Website: https://www.thebigbiemethod.com Facebook: https://www.facebook.com/thebigbiemethod Twitter: @TheBigbieMethod Instagram: @thebigbiemethod LinkedIn: https://www.linkedin.com/in/cindybigbienvc YouTube:  https://www.youtube.com/channel Be sure to leave a rating and review on Apple Podcasts and share it with a friend that would get some value! The Bigbie Method website: https://www.thebigbiemethod.co

Why should I read such a boring account of all kinds of boring stuff!   Ever felt that way …?Prayer request and more at …www.toughquestionsforgod.orgWebsite: www.toughquestionsforgod.orgyoutube @ https://www.youtube.com/channel/UC769G9moIYN53BNHlGNf-hA

Get my FREE style class: Style Made Simplewww.freestyleclass.com If you love simple style but are tired of looking underwhelming instead of understated, this episode is for you. In this episode, I talk about:Five ways to look more put together without extra effortThe simple style killer that might be living in your closetHow to keep basics from looking bland and boringYou can have the simplicity you want without sacrificing style, or becoming someone you're not, and this episode will help you get there.Full show notes: https://youreverydaystyle.com/ep-230

Most coaches think they have a marketing problem. They don't. They have a lifestyle problem. In this episode, we break down why selling training tips and nutrition advice keeps you stuck in low ticket conversations, poor retention, and prospects who don't see the value in what you do. You're not selling macros & training. You're selling identity, discipline, standards, leadership & all the IMPACT that has one someones life. We dive into why we stopped making content like everyone else, started documenting our lives, and nearly doubled our fitness business on the principle that lived experience will always outperform "educational value."   Follow Us: Chad: https://instagram.com/chadmorganfit Caroline: https://instagram.com/carolinebiddle_rd Beyond Built: https://instagram.com/beyondbuilttraining Apply for Coaching: https://beyondbuilttraining.com

Join us for another episode of Tabletop Hot Takes, a live show where we respond to the community's hot takes. These episodes are recorded live on Twitch. You can join our Discord server to share your hottest take. Pick Up These Brushes from Highlander Hobbies Join the Squad-Games Discord Watch the Latest Kill Team Battle Report Squad-Games Stuff: Join our Patreon and help us bring you guys more episodes! @squad_games_entertainment Other Socials and Stuff https://www.squad-games.net/ @Squad_Games_Entertainment @Wargaming_Studios @Sayayohn warhammer warhammer40k warhammer40000

Rich takes a really boring story that a company wrote in their newspaper advertorial, and tells it in a different way that highlights a BETTER STORY!

Dr. Nika Spaulding Do you value the "boring" parts of the Bible? If you've ever read through the Bible or have encountered sections that you might consider boring, this episode will give you reasons to care about them. According to BOW's guest speaker, Dr. Nika Spaulding, Leviticus, the genealogies, and other scriptures can actually be places of learning, encouragement and joy. Her conversation with Dr. Kay Daigle will blow your mind as you see the riches that these passages hold. Recommended resources BOW's Media List - search for Nika BOW's Studying & Teaching the Bible This episode is available on video if you prefer it. Timestamps: 00:20 Introduction to Nika and the topic 01:14 Who needs to hear this? 04:31 Scriptures that tell us we should read all parts of the Bible 06:32 What makes the details of the tabernacle so interesting? 14:40 What about the genealogies? 25:51 Best ways to read the Bible 29:03 Resources   TranscriptKay >> Welcome to the Beyond Ordinary Women Podcast and video. I'm Kay Daigle your host. And today I'm joined by Dr. Nika Spaulding. Nika >> Wow. The Doctor! Wow! Kay >> Yeah, well, we are so happy about that. And congratulations to you on that. That's a big deal. Nika >> Thank you, Dr. Kay. Kay >> You're welcome. Well, Nika is a frequent guest. We have her often because she always has so many good things to say. And she has a Th.M. from DTS as well as a D.Min. from Northern Seminary. Today we are going to talk about valuing the so-called boring chapters of the Bible. Nika >> Yeah.Kay >> Now, Nika, who needs to hear this? Nika >> Everyone. Everyone needs to hear. And I mean that! You know, you and I always talk about what is it we want to talk about? What do we want to bring to Beyond Ordinary Women. And it tends to just kind of grow out of whatever research I'm doing at that time, whatever I'm studying and learning. And right now I'm doing this thing where I'm teaching through each book of the Bible, one chapter at a time. So I'm halfway on a little bit more than halfway through Exodus. We've done all of Genesis. We've done all of Exodus. And it made me realize how tempting it would be to skip some chapters. Like, if I'm being honest, there's some chapters and I'm like, “Huh, I'm not as excited about this chapter as I would, you know, Abraham sacrificing Isaac or whatever.” There's just certain parts of the Bible you think, “Really?” And yet I have found because I'm forcing myself to do it, I'm discovering these so-called boring passages like genealogies, the tabernacle instructions, places like that. What I'm discovering is actually they are critical chapters to one, our understanding of the Bible. But also there's so much like good juice to squeeze out of that fruit for our spiritual formation and for our development. That shouldn't surprise us if Scripture tells us that all Scripture is God breathed inspired by God and useful for these things. And so I really do believe this is one of those videos for everybody, whether you're teaching through the Bible, studying the Bible, coming to the Bible for the first time, confused about the so-called boring parts of the Bible. This is a video for you. Kay >> Yes. I wish I had had this video when I started with my group, that is reading through the Bible in two years, because we've already made it through a lot of those chapters. And I thought you were very positive just to say not as excited about these chapters because I think many of us aren't even excited at all. Nika >> About, you know. Kay >> We just want to get through these chapters. This gal who is reading through the Bible with this group told us that she puts her finger under every name because in the genealogies or other times where they're lists of people just so that she reads every single name and doesn't just skip over it. Nika >> Yeah. Yeah. And I think that's great. I not only do I teach through it,

Booming arrivals, stubborn humidity – but dull and overpriced? Synopsis: On Wednesdays, The Straits Times takes a hard look at Singapore's social issues of the day with guests. Singapore’s tourism pitch is not just about selling its picture-perfect skyline; it’s also about showcasing its rich multiculturalism, leaning into its talent in hosting world-class events, and taking visitors on a journey to discover how a young nation is defining its own identity. In this episode, senior columnist Tan Dawn Wei speaks with Ms Jean Ng, assistant chief executive of Experience Development at the Singapore Tourism Board, and Mr Matin Mohdari, head of Public Policy for Southeast and South Asia at online travel company Expedia Group about Chinese traveller sentiment, events as demand drivers, cooling the city, and how AI could reshape tourism by 2040. They unpack Singapore's 2025 performance, why “hot, boring, expensive” perceptions among some Chinese travellers matter, and how STB is adjusting for younger, social-media-led free-and-easy visitors through partnerships, IP, and precinct storytelling. The conversation also looks at practical ways to soften the tropical heat, what Singapore offers versus rival Asian cities, and the balance between premium experiences and everyday affordability. Finally, they explore Tourism 2040 – the roadmap to hitting between $47 and $50 billion in tourism receipts by then – and how AI can boost productivity behind the scenes, while keeping the human stories that make a place emotionally resonant. Highlights (click/tap above): 2:54 “Too hot, too boring, too expensive” 13:14 Singapore can’t change its climate, but it can make the outdoor experience more enjoyable 16:54 Singapore’s edge over other Asian cities 24:48 Going after “quality tourism” in Singapore’s Tourism 2040 roadmap 38:10 What Singapore needs to loosen control over, to be emotionally resonant Read more: https://str.sg/okfhy Read ST’s Opinion section: https://str.sg/w7sH Read Dawn's columns: https://str.sg/3xR7 Host: Tan Dawn Wei (dawntan@sph.com.sg) Produced and edited by: Hadyu Rahim Executive producers: Ernest Luis & Lynda Hong Follow In Your Opinion Podcast here and get notified for new episode drops: Channel: https://str.sg/w7Qt Apple Podcasts: https://str.sg/wukb Spotify: https://str.sg/w7sV Feedback to: podcast@sph.com.sg SPH Awedio app: https://www.awedio.sg --- Follow more ST podcast channels: All-in-one ST Podcasts channel: https://str.sg/wvz7 Get more updates: http://str.sg/stpodcasts The Usual Place Podcast YouTube: https://str.sg/theusualplacepodcast --- Get The Straits Times app, which has a dedicated podcast player section: The App Store: https://str.sg/icyB Google Play: https://str.sg/icyX --- #inyouropinionSee omnystudio.com/listener for privacy information.

There's something beautiful about “boring” training. In this fourth check-in with Matthew, nothing dramatic has happened - no injuries, no big breakthroughs, no chaos. And honestly? That's exactly what we want. After completing an ultra just over a month ago, Matthew has dialled things back sensibly. He's sticking to a three-hour long-run ceiling, building strength through consistent back-to-backs, and focusing on staying healthy rather than chasing ego mileage. We dive into: •Why he caps long runs at three hours (and the research he's been listening to) •The power of repeated back-to-backs instead of one massive weekend •Running in London vs running in proper countryside darkness •Training in relentless mud and fully saturated trails •Road-to-trail shoe choices for Delirious •His detailed blister prevention strategy (including toe sleeves, taping methods and lessons from Fixing Your Feet) •Why treadmill hill reps have entered the chat •The culture shock of going from minus one degree to Western Australian heat •And the wisdom of NOT skateboarding two days before a 200-mile race

- David McCarry of Taxpayers Protection Alliance gives talks about what SHOULD be addressed during the State of the Union tonight. - Jason Law lays out what his priorities are if he becomes St. Charles County Executive - Here are some ideas for your SOTU drinking game/ what people are betting on being said tonight. See omnystudio.com/listener for privacy information.

Think you need a trust fund, seed money, or a rich uncle to invest in real estate? You don't! With just 10 years of simple, “boring” investing, rental properties could completely alter your life's trajectory. Today's guest started from zero but now owns a small real estate portfolio that brings in over $2,500 in monthly cash flow! Welcome back to the Real Estate Rookie podcast! Kadeem Kamal didn't come from money—quite the opposite. But after discovering he could buy a house that doubled as a rental property, after years of paying rent, he grabbed the opportunity with both hands. Since buying that first property back in 2018, Kadeem has bought two more rental properties, built his own home, and never paid his mortgage out of pocket! Like many rookies, Kadeem knew very little about real estate investing when he got started. But by taking action and learning on the fly, he's been able to secure his family's financial future. In less than a decade, Kadeem has built up over $800,000 in equity. Stay tuned to learn how YOU can copy his success! In This Episode We Cover How Kadeem makes $2,500 in monthly cash flow with three rental properties A 10-year game plan for achieving financial freedom with “boring” investing Having tenants pay your mortgage with the house hacking strategy The creative strategy Kadeem used to fund the down payment for his first property Section 8 rental income isn't guaranteed? (How to protect yourself!) And So Much More! Check out more resources from this show on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BiggerPockets.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.biggerpockets.com/blog/rookie-683 Interested in learning more about today's sponsors or becoming a BiggerPockets partner yourself? Email ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠advertise@biggerpockets.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Boring is a signal and it's a sign that something needs to change! A complaint about monogamy is that the line between responsibility and desire often gets blurred and it is responsibility and safety that win out. Long-term couples come to therapy with a complaint that sex is predictable and had become boring. Join our hosts in this episode as they explore what might be lying under the surface. Are you simply disengaged from life? Or is there a relational dynamic that has caused a couple to disengage from desire and their ability to express desire to each other. Our hosts remind us that sex is an exciting adventure and the safety of a long-term partnership invites us to take even more risks. If you have been thinking that sex with your honey has been a little stale, you'll certainly want to download this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices

From 'Baseball Isn't Boring' (subscribe here): Bradfo is doing another extensive sit-down with one of the best pitchers in baseball, Garrett Crochet. This time the guys are reflecting on the realities that came with his first season in Boston, with a behind-the-scenes look at the real what's what. There is fantastic insight into Crochet's current lot in life, along with the story behind the story regarding his shaved head. Much like the pitcher's performance on the mound, these podcasts never disappoint. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

If you've had a rollercoaster relationship with launching, the dopamine spikes, the adrenaline, the crash, you're not doing anything wrong. But you might be addicted to the drama of it.In this episode, Steph calls herself out after a decade of launching and seven figures in launch revenue, and makes the case for why boring is actually the goal. Because the drama isn't a feature of launching. It's a symptom of not having a system.You'll hear why your audience should be more engaged during a launch, not less, what "burnt out lists" are really telling you, and what it feels like when launching finally just feels like executing a plan.This episode is a preview of Day 3 of the Sold Out Sales System Summit. ______________________ SOLD OUT SALES SYSTEM SUMMIT:March 16-20th | 2pm DAILYSign up: https://stephcrowder.com/summit Join the Sold Out Group Programs Mastermind Waitlist https://stephcrowder.com/sogp Connect with Steph Instagram: @heystephcrowder

We declared Gen Z boring after discovering they're costing the alcohol industry $830 billion by not drinking, choosing silent discos over clubs, and being home by 10pm sober and in bed. Kira from Camden called in as "peak Gen Z" fully supporting the boring generation because you can go out without the hangover or the cost and wake up feeling fantastic, which honestly made us a bit jealous despite equating drinking with fun our entire lives.See omnystudio.com/listener for privacy information.

From 'Baseball Isn't Boring' (subscribe here): Bradfo is doing another extensive sit-down with one of the best pitchers in baseball, Garrett Crochet. This time the guys are reflecting on the realities that came with his first season in Boston, with a behind-the-scenes look at the real what's what. There is fantastic insight into Crochet's current lot in life, along with the story behind the story regarding his shaved head. Much like the pitcher's performance on the mound, these podcasts never disappoint. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Hour 1 - Bradford, Sammy and Gordo react to the Sox lineup that was put out. Their thoughts on the lineup and the worst take Bradford has ever heard.

Hour 3 - Bradford, Gordo and Sammy debate if Triston Casas will contribute to the Sox this season.

Hour 2 - Brian Abraham joins the show. Who the star the camp has been so far and more! The crew debate who the face of Boston sports is as of now and if it can be Anthony.

**Jeep Talk Show: Why Jeeps Will NEVER Be Self-Driving Pods! + Stellantis' $26 BILLION EV Disaster** Hi diddly-ho, Jeep fam! Neighborino!

Charlie Marlow discusses all the top NASCAR storylines from the week including:- Joe Gibbs Racing sues Chris Gabehart- Daytona 500 TV ratings- Natalie Decker drama- Cleetus McFarland impact & approval process- Boring stage 3 fuel saving- Compelling Daytona 500 finish- Michael Jordan - Tyler Reddick's son victory lane conspiracy theory nonsense#nascar #racing #charliemarlow

In this week's episode, we're diving into what happens when your routine starts to feel… blah — and why you're not crazy for wanting to ditch the very habits that once felt so good. We talk about the totally human need for excitement and novelty, and how that can bump up against the structure that helps you grow. If you've been craving something new but don't want to sabotage your progress, we're sharing ways to bring the spark back — without abandoning the boundaries that are helping you become who you want to be. If this was helpful and you want details for Jen's upcoming masterclass on March 17, 2026, shoot her an email

Today, another breakdown of the remarkable dispersion in the US market, with few signs that it is ending just yet, while Europe continues to soar on record inflows. FX is deeper in limbo after USD shorts were squeezed - important to see how we close for the week there, especially for EURUSD as we saw a very pale green shoot from the German Manufacturing PMI today for the first time in years. This and much more on today's pod, which is hosted by Saxo Global Head of Macro Strategy John J. Hardy. Links discussed on the podcast and our Chart of the Day can be found on the John J. Hardy substack (within one to four hours from the time of the podcast release). Read daily in-depth market updates from the Saxo Market Call and the Saxo Strategy Team here. Please reach out to us at marketcall@saxobank.com for feedback and questions. Click here to open an account with Saxo. Intro and outro music by AShamaluevMusic DISCLAIMER This content is marketing material. Trading financial instruments carries risks. Always ensure that you understand these risks before trading. This material does not contain investment advice or an encouragement to invest in a particular manner. Historic performance is not a guarantee of future results. The instrument(s) referenced in this content may be issued by a partner, from whom Saxo Bank A/S receives promotional fees, payment or retrocessions. While Saxo may receive compensation from these partnerships, all content is created with the aim of providing clients with valuable information and options.

Budget Blinds might sound boring, but this home service franchise is quietly generating serious revenue. In this video, we break down how much it costs to start a Budget Blinds franchise, what franchisees are actually making, how the royalty model is changing in 2026, and whether this is truly a good investment. I've personally looked into buying a resale myself, and I know multiple owners in the system. If you're looking for a low-cost franchise that isn't flashy but has real numbers behind it, this breakdown will help you decide if this “boring” business could actually build wealth. Comment below if you would ever own a business like this. ---------------------------------------------------------------------------------------Free Resources to Get You Started!Download our list of 42 High Performing (and profitable) Franchises: https://www.franchiseempire.com/42hpf?utm_source=TJfeb222026Download our FREE StarterKit: The Zero to Profitable Franchise in Less Than 12 Months Guide:  https://www.franchiseempire.com/o-ztpf-guide?utm_source=TJfeb222026

[Cold Open (Professional paintball & 2-star reviews) ends at 16:31]In this episode, we talk about scaling with simple services.We break down why the things that actually grow an agency are often the least exciting to sell, how chasing trendy or “innovative” offers can create complexity instead of leverage, and what has actually worked for us as we've grown. We also discuss AI automation, local service ads, retention, and why repeatability matters more than sophistication.This episode is about focus. What makes a service scalable, why simple does not mean easy, and how choosing the right offers can change the trajectory of your agency.-----RESOURCES:Want the tools and resources we recommend for agencies? Check them out here:https://www.agencygrowthpod.com/tools-----NEWSLETTERWant the show in your inbox? Sign up for the newsletter!https://www.agencygrowthpod.com/newsletter-----COMMUNITYLooking to join a community of agency owners? Join our Discord!https://discord.gg/uvHRRRFVRD-----CONTACTGot something to say? Send us a message:https://www.agencygrowthpod.com/contact

I have too many clothes, and I love them all. I need to donate more and can't seem to cull them out. I do not know my style other than comfortable. I feel I dress boring. I do not like fussy clothes. My biggest challenge is finding outfits that look good on me.

From 'Baseball Isn't Boring' (subscribe here): One year ago, Kristian Campbell was navigating his first big league spring training while learning a fairly new position and a whole room of new teammates, while also negotiating a life-changing contract. Now? He is still trying to make the Red Sox, but is entering this round of spring training games with a wealth of lessons, experience, and confidence, all of which he has gained over the last 12 months. Bradfo sits down with Campbell to reflect and look forward. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

From 'Baseball Isn't Boring' (subscribe here): Bradfo catches up with a favorite of ours here at BIB, Orioles Pitcher Zach Eflin, who talks pitching, hitting, and his second go-round in free agency. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

On this episode: Lucy Lopez, Elizabeth Newcamp, and Slate senior producer Cheyna Roth are talking the first few weeks and months of having a newborn. Let's face it, those first few weeks and months of having a new baby are both busy…and can be incredibly boring. How can you make the most of the postpartum period? We've got scheduling tips, plus a little treat for you to make for yourself to enjoy when you get home! But first, they share their latest triumphs and fails. Cheyna had a full day of pregnancy hormone rage, Elizabeth lost her kid's bike, and Lucy's daughters are learning R-E-S-P-E-C-T. Podcast production by Rosemary Belson. Video production by Micah Phillips. Follow us on YouTube! Join us on Facebook and email us at careandfeedingpod@slate.com to ask us new questions, tell us what you thought of today's show, and give us ideas about what we should talk about in future episodes. You can also call our phone line: (646) 357-9318.If you enjoy this show, please consider signing up for Slate Plus. Slate Plus members get to hang out with us on the Plus Playground every week for a whole additional grab-bag of content — and you'll get an ad-free experience across the network. And you'll also be supporting the work we do here on Care and Feeding. Sign up now at slate.com/careplus – or try it out on Apple Podcasts. Hosted on Acast. See acast.com/privacy for more information.

On this episode: Lucy Lopez, Elizabeth Newcamp, and Slate senior producer Cheyna Roth are talking the first few weeks and months of having a newborn. Let's face it, those first few weeks and months of having a new baby are both busy…and can be incredibly boring. How can you make the most of the postpartum period? We've got scheduling tips, plus a little treat for you to make for yourself to enjoy when you get home! But first, they share their latest triumphs and fails. Cheyna had a full day of pregnancy hormone rage, Elizabeth lost her kid's bike, and Lucy's daughters are learning R-E-S-P-E-C-T. Podcast production by Rosemary Belson. Video production by Micah Phillips. Follow us on YouTube! Join us on Facebook and email us at careandfeedingpod@slate.com to ask us new questions, tell us what you thought of today's show, and give us ideas about what we should talk about in future episodes. You can also call our phone line: (646) 357-9318.If you enjoy this show, please consider signing up for Slate Plus. Slate Plus members get to hang out with us on the Plus Playground every week for a whole additional grab-bag of content — and you'll get an ad-free experience across the network. And you'll also be supporting the work we do here on Care and Feeding. Sign up now at slate.com/careplus – or try it out on Apple Podcasts. Hosted on Acast. See acast.com/privacy for more information.

Patreon Preview from Blamo!Sometimes, the world of menswear can get niche, as people dive into different rabbit holes. There are sashiko field jackets, patchwork Ivy Style tweeds, and dark, artisanal styles that look like they'd be worn by a forger in 14th-century Europe. For guys who sometimes feel alienated from these things, is it OK to have a more boring style? Peter and Derek talk about how you can play around with aesthetics you love without scaring your family. **Listen to the entire episode on the Blamo! Patreon  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The Non-Market Reality of Healthcare Carrier Marketplaces with Dr. Jacob Asher. In this episode of Relentlessly Seeking Value, host Stacey Richter introduces the 'No Market' series focused on the healthcare sector's lack of competitive market dynamics, which affects cost and quality.  The episode features a conversation with Dr. Jacob Asher, who has extensive experience as a Chief Medical Officer at major healthcare plans. They discuss the stagnant nature of commercial carrier marketplaces, particularly in California, and the various factors contributing to this stasis, including employer inertia, the influence of employee benefit consultants, and the strategic focus of carriers on Medicare Advantage over commercial business.  They also explore how carriers' dependence on existing provider networks and contractual negotiations based on member volumes contribute to a lack of meaningful competition. The episode highlights the challenges faced by plans attempting to innovate or differentiate on quality and the systemic issues that perpetuate the current equilibrium. === LINKS ===

There's a particular kind of discomfort that doesn't look dramatic from the outside.No screaming.No betrayal.No big rupture.Just a quiet shift.You sit across from your partner at dinner.You talk about schedules, bills, the kids, the weekend plans.You scroll next to each other on the couch.You go through the motions.And somewhere in the background, a subtle thought appears:“Why does this feel so… flat?”Not explosive.Not broken.Just… dull. Distant. Mechanical.In today's episode, Help! My relationship feels… boring, I unpack the real reason this happens — and it's probably not what you think.Because boredom in a relationship is rarely about “not having enough in common.”More often, it's a sign that something true isn't being voiced.A whisper you've been overriding.A part of you that's been kept out of the room.And when we silence one truth long enough… we don't just numb that feeling.We numb everything.In the episode, I share two personal stories that changed how I understand “aliveness”, and how radical honesty (not harshness) can bring realness back to a connection that feels dead.Episode timestamps:02:05 — The question that's been marinating in my mind03:46 — What do we do when a relationship feels boring?05:01 — The dilemma: wanting the spark before the effort06:22 — When your relationship with yourself feels dull too07:22 — The real reason boredom shows up08:01 — A personal story about feeling flatlined13:42 — The cost of hiding important truths17:19 — What “radical honesty” actually meansIf you've been feeling “blah” lately — please don't assume it means something is wrong with you, or that the relationship is doomed.Instead, let this be a gentle invitation:What truth wants a little more space?What part of you is waiting to be seen again?Oh—and if you have something you're navigating and would love my take on it...

Fresh off releasing one of the most beautiful hardcover books we've ever seen, Paul Millerd returns alongside Infinite Books CEO Jimmy Soni for a deep dive into the broken incentives of traditional publishing, why the industry breeds "cynicism at scale," and how the internet is powering a second Renaissance for creators. We get into what it means to build a creative life on your own terms, the Taoist approach to growing an audience, how to navigate financial uncertainty while raising a family, and why seemingly boring daily routines fuel extraordinary creative work. I hope you enjoy this conversation as much as I did. For the full transcript, episode takeaways, and bucketloads of other goodies designed to make you go, "Hmm, that's interesting!," check out our Substack. Important Links: Paul's Website Paul's X Paul's Substack The Pathless Path Premium Hardcover Good Work Infinite Books Jimmy's X Show Notes: Make Books Beautiful Why Paul Turned Down Penguin Creative Work Should Inspire More Creative Work Cynicism at Scale in the Publishing Industry The Long Tail of Book Marketing Why Paul Launched a Hardcover Pathless Path Dre, Spielberg & Chappelle: Design Your Own System Playing Probabilistic Games How to Live a Pathless Life With a Family The Creative Perks of a Boring Life "What If I Do Less?" Books Are Win-Win Paul as World Emperor Books Mentioned: The Pathless Path: Imagining a New Story for Work and Life; by Paul Millerd Good Work: Reclaiming Your Inner Ambition; by Paul Millerd The Founders: The Story of PayPal and the Entrepreneurs Who Shaped Silicon Valley; by Jimmy Soni What Works on Wall Street; by Jim O'Shaughnessy How to Retire Rich; by Jim O'Shaughnessy Walden (Steel Brothers reimagined edition); by Henry David Thoreau Why Greatness Cannot Be Planned: The Myth of the Objective; by Kenneth O. Stanley The Work Is the Win; by Billy Oppenheimer (forthcoming) Reclaim the Book; by Paul Millerd (essay) Tiny Experiments: How to Live Freely in a Goal-Obsessed World; by Anne-Laure Le Cunff The Chronic; by Dr. Dre (album) Tao Te Ching (Dao De Jing); by Lao Tzu  

Hi everyone — this episode features Moshe Popack, a third-generation real estate investor who began his career working in the offices of his father and grandfather in Brooklyn, NY.Growing up in a real estate family, Moshe was exposed early to the fundamentals of property acquisition, asset management, and long-term investing. Over the years, he has built on that foundation, expanding his experience across multiple asset classes and markets while continuing the legacy of disciplined, strategic investing.In this conversation, we dive into:• The advantages of real estate investing• How long-term investors evaluate risk and opportunity• Lessons learned from decades of market cycles• The mindset required to scale in competitive marketsWe also discuss how generational knowledge, market timing, and operational discipline separate sustainable investors from short-term speculators.Follow / Connect with me:

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

From 'Baseball Isn't Boring' (subscribe here): Brendan Rodgers has experienced a lot since being taken third overall in the 2015 MLB Draft, ultimately landing this spring training with the Red Sox. Rodgers joins Bradfo to talk about his journey, including how a horrific collision derailed his season last year. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

How To Master The Boring Things In Life To Actually Get Ahead

Instead of treating engagement as something you're constantly trying to manage, think of it as something you're trying to solve, and curiosity is the solution. In this episode, you'll learn simple strategies for building curiosity into your lessons that activate your students' brains and transform the way they engage during instruction. Plus, you'll gain perspective on how curiosity positively impacts classroom management by turning student compliance into genuine cooperation. Show Notes: https://www.drlorifriesen.com/blog/curiosity  5-Minute Field Trips Subscription: https://www.drlorifriesen.com/5-minute-field-trips  FREE Class at the Virtual Teacher Ski Lodge: How to Prevent 2-3 Students from Derailing Your Entire Day: https://www.drlorifriesen.com/need-this Classroom Management Club Waitlist: https://www.drlorifriesen.com/membershipwaitlist Subscribe to the Beginning Teacher Talk YouTube Channel: https://www.youtube.com/@beginningteachertalk Grab a copy of my book, Dear New Teacher, Here's Exactly What to Do: Your 5-Step R.E.A.D.Y. for School Roadmap for Elementary Classrooms: https://amzn.to/3w3zZJ7 Lung Cancer Free: One Couple's Journey Through a "Lungs in a Box" Double Lung Transplant: https://www.lungcancerfree.com/ Check out Lori's TpT store (Beginning Teacher Talk): https://www.teacherspayteachers.com/Store/Beginning-Teacher-Talk  Connect with Lori on Pinterest: https://www.pinterest.com/drlorifriesen/ Connect with Lori on Instagram: https://www.instagram.com/beginningteachertalk If the Beginning Teacher Talk podcast is helping you in your teaching and if you're feeling extra loving, I would be so grateful if you would leave a positive review for the show! Your kind words mean the world to me. Just click here to leave your review now (and be entered into our draw for a $25 Amazon Gift Card)! https://podcasts.apple.com/us/podcast/beginning-teacher-talk/id1456137677 I hope you have a wonderful week, and remember - just because you are a beginning elementary teacher, there is no need for you to struggle like one. Xo Lori P.S. Do you have your copy of my FREE Ultimate Classroom Management Checklist? Get yours by clicking here now! https://www.drlorifriesen.com/ultimate-classroom-management-checklist

Sexting sounds simple until you're actually staring at your phone, cursor blinking, wondering if what you're about to send is hot or just... weird. In this episode, I'm giving you the full breakdown on how to text dirty with confidence—because good sexting is really just foreplay with a keyboard. I'm answering your questions about everything from how to build tension with something as small as three dots, to what to do when your partner wants to sext around the clock but you're just not feeling it. Plus, I'm sharing some of the hottest sexts the Sex With Emily community has ever received (you asked, you delivered, and wow). In this episode, you'll learn:  • The "past and future" technique that makes writing a sext way less intimidating—and way more effective  • What to say when your long-distance partner's sexting pace doesn't match yours (hint: you're allowed to set your own rhythm)  • How sexting can actually help you communicate desires that feel too awkward to say face-to-face More Dr. Emily:  • Shop With Emily! Explore Emily's favorite toys, pleasure accessories, bedroom essentials, and more — designed to support your pleasure and confidence. Free shipping on orders $99+ (some exclusions apply). • Join the SmartSX Membership: Access exclusive sex coaching, live expert sessions, community building, and tools to enhance your pleasure and relationships with Dr. Emily Morse. • Interested in 1:1 Coaching with Emily? Reach out to enrollment@sexwithemily.com to learn more!  • Sex With Emily Guides: Explore pleasure, deepen connections, and enhance intimacy using these Sex With Emily downloadable guides. • The only sex book you'll ever need: Smart Sex: How to Boost Your Sex IQ and Own Your Pleasure • Want more? Visit the Sex With Emily Website • Let's get social: Instagram | X | Facebook | TikTok | Threads | YouTube • Let's text: Sign up here • Want me to slide into your email inbox? Sign Up Here for sex tips on the regular. Timestamps: 0:00 - Introduction 2:06 - The "past and future" rule for writing sexts 4:43 - How to use the three dots to build tension 5:34 - Nude photo tips: angles, lighting & confidence 7:35 - Protecting your nudes on Apple & Google 8:41 - The hottest sexts you've sent (community submissions) 10:18 - How to find your dirty talk voice 12:48 - Flirting with a coworker over Zoom & Slack 15:04 - Keeping sexts private when kids use your devices 16:08 - When your partner's masturbation habits change 19:16 - Mismatched sexting energy in long distance 22:35 - Rebuilding trust after infidelity Learn more about your ad choices. Visit megaphone.fm/adchoices

For two decades the nuclear conversation has revolved around new builds, advanced reactors, and megaproject risk. Meanwhile, forty Westinghouse pressurized water reactors continue operating at roughly the same thermal output they were commissioned at decades ago, leaving six to ten gigawatts of potential capacity sitting inside existing plants. In this episode, I speak with Robb Stewart and James Krellenstein of Alva Energy about why power uprates may be the fastest and most capital efficient way to expand nuclear generation in the United States. Rather than chasing first of a kind reactor designs, they argue that modern steam generator technology, improved thermal hydraulic modeling, and standardized secondary side upgrades can unlock the equivalent of twenty to thirty 300 megawatt small modular reactors within three to five years.We examine why boiling water reactors captured most historical uprates while pressurized water reactors remained largely untouched, how balance of plant constraints rather than reactor physics often limit output, and why diverting additional steam to a separate turbine island changes both risk and economics. With hyperscalers willing to pay premium prices for reliable, low carbon power, incremental nuclear megawatts now carry real market value. The question is whether the industry can prioritize disciplined industrial execution over novelty and finally harvest the gigawatts hiding in plain sight.Listen to Decouple on:• Spotify: https://open.spotify.com/show/6PNr3ml8nEQotWWavE9kQz• Apple Podcasts: https://podcasts.apple.com/us/podcast/decouple/id1516526694?uo=4• Overcast: https://overcast.fm/itunes1516526694/decouple• Pocket Casts: https://pca.st/ehbfrn44• RSS: https://anchor.fm/s/23775178/podcast/rssWebsite: https://www.decouple.media

“Boring isn't about making life smaller — it's about finally doing what I said I wanted to do.” —MiaMy highly passionate, creative, maybe ADHD, manifesting generator — or simply feeling scattered — sisters, I hope you find one piece in here that helps you.I've chosen “boring” as my word of the year.The need for boring energy has shown up through the health challenges of the past two years — a diagnosis that led to brain surgery, a series of illnesses, and recently falling and breaking my arm and sacrum.And surprisingly, saying boring has helped me finally follow through — actually doing the things I know will create the life and goals I want.As I lean into this word, I'm learning a lot. Here are some of the biggest lessons so far:1. Avoid Shiny ObjectsHave you ever gone to post something on social media and resurfaced 90 minutes later unsure what happened — and the post isn't even a thought anymore?Me. All the time.But I'm changing that. Boring means going in with intention, doing the thing I came to do, and leaving before the distractions take over.2. Notice the Negative Behaviors That Pretend to HelpI'm really good at rushing and multitasking — but I miss things, slip and fall, and lose focus.Sometimes what feels connecting or exciting is actually avoidance. Watching a show can feel cozy, but sometimes it replaces harder conversations or needed rest.Choosing boring brings me back to what I actually said I wanted.3. Follow My Own Needs (Not Outside Expectations)If you feel like you have to post constantly or send daily emails because “that's how business works,” you might be following someone else's priorities.Same with life. Sending kids to school sick because they're supposed to go? That's another outside rule that I choose to break. Working sick. I go inward before I decide what I'm going to do.Boring asks: what rhythm actually works for me?Choose alignment over expectation.4. Do One Thing Really WellAs a highly creative, multi-passionate person, this is hard — and it comes up constantly in coaching.But constraints are powerful. When you focus on one thing at a time and do it well, it's deeply satisfying — and often moves you forward faster.5. Simplify to Reduce Decision FatigueWhen you simplify your calendar and choose to do less, you remove constant decision-making.And when decisions decrease, energy increases — especially for the uncomfortable but meaningful work.6. Simplicity Is Hard — But TransformationalWe resist simplifying, even when we know it helps.But slowing down, simplifying, and focusing allow us to actually move forward instead of spinning in possibility.You might notice overlap in these lessons — and that's the point.Simplify.Slow down.Focus.Do the things that really matter.How could that serve you this year?7. What's Your Word?And if boring is not what you are here to play with. What are the big lessons you need to learn from your word of the year?DOABLE CHANGESIf any of this resonated, here are three ways to experiment with your own version of “boring” this week:SIMPLIFY YOUR CALENDARWhat's one thing you could remove next week? Where are the bottlenecks or overwhelm points? What could you decide in advance?PICK ONE THINGInstead of trying seven or eight things — even if you're great at multitasking — what happens if you choose ONE and do it really well?DOES THIS SERVE ME?Pause and ask: does this actually support what I want? Does watching a show create connection — or avoid...

Think building seven figure wealth requires exotic investments or perfect timing? This President's Day episode from Joe's mom's basement tells a very different story. Joe Saul-Sehy, OG, and Neighbor Doug dig into a Kiplinger My First Million case study featuring a Wisconsin couple who started saving at age 32 with exactly zero invested and quietly built $2 million over the next 22 years using mostly retirement accounts and steady habits. Their success sparks a bigger conversation about why simple strategies often outperform complicated ones, and how surviving the boring middle is where wealth is created. Along the way, the gang tackles advisor fees, the psychology of enough, long term care decisions, and the real value financial professionals can bring. Of course, it wouldn't be a basement episode without trivia, community wins, and a few unexpected detours (including a conversation about giant toilet paper rolls that somehow reinforces the episode's central theme). What You'll Take Away: • Why ordinary retirement accounts (401(k)s, SEP IRAs, and Roth IRAs) can be enough to build significant wealth without chasing complex investments • How starting with just enough to earn the employer match creates momentum without overwhelming new savers • A simple escalation strategy: increasing contributions by 1% each year to grow savings almost painlessly • The often missed detail of contributing through the final paycheck to capture the full employer match • A creative gamification approach to Roth contributions tied to the Social Security wage base • How reframing long goals into months instead of years helps investors stay motivated during the long, quiet middle stretch • Why imperfect plans with higher fees can still beat waiting for the perfect investing setup • The real concerns people have about trusting workplace retirement plans and how those plans actually function • Lessons the featured couple learned, including the value of post tax flexibility later in life • Long term care planning as risk management, including balancing insurance coverage with self funding strategies Big Behavioral Conversations: • A TikTok minute featuring Dr. John Delony sparks a discussion about defining enough and whether chasing more success is driven by purpose or ego • How redefining success can shift financial decisions more than any spreadsheet ever will • The danger of constantly moving financial goalposts once progress begins Listener Mailbag: When Is a 1% Advisor Fee Worth It? OG walks through how to evaluate an advisor relationship beyond performance numbers, including whether your advisor helps you make money or avoid costly mistakes, the value of saved time and reduced stress, planning continuity for spouses or heirs, typical fee structures, and how to have an honest fee conversation without damaging a long standing relationship. This Episode Is For You If: • You're behind on saving and worried you've missed your window • You feel like wealth building requires strategies you don't understand • You want proof that simple plans work if you stick with them • You're wondering if your advisor's fee is worth it or if you should manage it yourself • You need reassurance that boring and consistent beats exciting and complicated This episode is a reminder that wealth rarely comes from brilliance or shortcuts. More often, it comes from steady decisions repeated consistently while everyone else searches for something more exciting. FULL SHOW NOTES: https://stackingbenjamins.com/how-to-make-a-million-after-starting-late-1804 Deeper dives with curated links, topics, and discussions are in our newsletter, The 201, available at https://www.stackingbenjamins.com/201 Enjoy! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Everyone wants to win.Few people want the repetition it requires.In this episode, Ryan unpacks why consistency is the most underrated competitive advantage in the world. From writing a book a year, to NBA workouts behind the scenes, to parenting, leadership, fitness, and social media growth, the common thread is simple: the boring stuff compounds.Going viral is fun.Winning is flashy.But showing up every single day when no one is clapping? That's what separates people long term.If you've been tempted to chase the spike instead of building the system, this episode will challenge you to fall in love with boring and stay consistent long enough to become impossible to compete with.