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William Green highlights essential truths about investing, business & life that emerged from two of his favorite interviews with Howard Marks and Nima Shayegh. This episode also explores powerful lessons on resilience from Bill Miller & Epictetus. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:04:31 - How investing legend Howard Marks views the euphoria over AI 00:11:10 - What potential mistakes he warns against in this environment 00:13:23 - What essential lessons William Green has learned from Howard 00:23:00 - How Howard keeps an even keel amid extreme uncertainty 00:26:09 - Why Howard, like Einstein, doesn't think much about the future 00:34:19 - Why investing early & not “tampering” is the key to success 00:38:39 - How Nima Shayegh looks beyond numbers to find great stocks 00:44:19 - How to harness intuition & emotion in the investment process 00:49:13 - How products from Tesla & Amazon inspire “blown-awayness” 00:57:10 - What Nima learned from his famed mentor, Lou Simpson 01:04:38 - How Lou's success was built on humility 01:19:55 - How Lou & Nima inspire William's yearning for a spacious life 01:23:56 - How to handle suffering with help from Bill Miller & Epictetus Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive TIP Mastermind Community to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Inquire about William Green's Richer, Wiser, Happier Masterclass. Howard Marks' Memos: The Complete Collection. Edward Chancellor's Devil Take the Hindmost. Allen Benello, Michael van Biema, Tobias Carlisle's Concentrated Investing. William Green's podcast interview with Howard Marks. William Green's podcast interview with Nima Shayegh. William Green's book, Richer, Wiser, Happier. Follow William Green on X. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Get smarter about valuing businesses in just a few minutes each week through our newsletter, The Intrinsic Value Newsletter. Check out our We Study Billionaires Starter Packs. Follow our official social media accounts: X | LinkedIn | Facebook. Browse through all our episodes here. Try our tool for picking stock winners and managing our portfolios: TIP Finance Tool. Enjoy exclusive perks from our favorite Apps and Services. Learn how to better start, manage, and grow your business with the best business podcasts. SPONSORS Support our free podcast by supporting our sponsors: HardBlock Human Rights Foundation Simple Mining Netsuite Masterworks Shopify Vanta Fundrise References to any third-party products, services, or advertisers do not constitute endorsements, and The Investors Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm
Daniel Mahncke and Shawn O'Malley take a deep dive into Constellation Software — the popular Canadian compounder that has turned buying “boring” vertical market software into one of the most effective capital-allocation machines in public markets. IN THIS EPISODE, YOU'LL LEARN: 00:00:00 - Intro 00:03:33 - How Mark Leonard founded Constellation 00:08:43 - What principles drive Mark Leonard 00:15:23 - What Constellation looks for in acquisition targets 00:19:20 - About the metrics that matter to Constellation 00:21:15 - How Constellation is structured and incentivized 00:46:26 - Whether AI is a threat or chance 01:04:50 - Why Constellation considers investing outside of VMS 01:08:50 - Whether Shawn and Daniel add Constellation to the portfolio *Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences. BOOKS AND RESOURCES The Investors Podcast Network is excited to debut a new community known as The Intrinsic Value Community for investors to learn, share ideas, network, and join calls with experts: Sign up for the waitlist(!) Sign up for The Intrinsic Value Newsletter. Learn how to join us in Omaha for the 2026 Berkshire Hathaway shareholder meeting. Track The Intrinsic Value Portfolio. Shawn & Daniel use Fiscal.ai for every company they research — use their referral link to get started with a 15% discount! WSB episode on Constellation Software. Synopsis Podcast on Constellation Software. Business Breakdown Podcast on Constellation Software. Mark Leonard Shareholder Letters. Saber Capital: How to Think about ROIC. Check out our previous Intrinsic Value breakdowns: Transdigm, Salesforce, Berkshire Hathaway, FICO, PayPal, Uber, Nike, Amazon, Airbnb, Alphabet. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Follow our official social media accounts: X (Twitter) | LinkedIn | Facebook. Browse through all our episodes (complete with transcripts) here. Try Shawn's favorite tool for picking stock winners and managing our portfolios: TIP Finance. Enjoy exclusive perks from our favorite Apps and Services. Learn how to better start, manage, and grow your business with the best business podcasts. References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm
In this episode, agronomist consultant Bill McKibben of Logan Labs talks a little bit about the services they offer to small farms. Subscribe for more content on sustainable farming, market farming tips, and business insights! Get market farming tools, seeds, and supplies at Modern Grower. Follow Modern Grower: Instagram Instagram Listen to other podcasts on the Modern Grower Podcast Network: Carrot Cashflow Farm Small Farm Smart Farm Small Farm Smart Daily The Growing Microgreens Podcast The Urban Farmer Podcast The Rookie Farmer Podcast In Search of Soil Podcast Check out Diego's books: Sell Everything You Grow on Amazon Ready Farmer One on Amazon **** Modern Grower and Diego Footer participate in the Amazon Services LLC. Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.
In this episode, Dr. K explains why finding a "spark" feels harder than ever in a world dominated by dating apps. He explores the biological difference between logical compatibility and true romantic passion, showing how our modern approach to dating might actually be short-circuiting our ability to fall in love. What to expect in this episode: • Compatibility vs. Passion: Why treating dating like a job interview uses the wrong part of your brain and prevents you from feeling chemistry. • The "Spark" Calculus: A look at the Rate of Intimacy Model, which explains why passion comes from how fast you learn about someone, not just what you know. • The Dating App Trap: How having too much information upfront prevents the dopamine hit required to feel a deep romantic connection. • Dopamine Burnout: How modern habits like social media and video games can physically exhaust your brain's ability to fall in love. • Leveling Up Together: An introduction to the Self-Expansion Model, where two individuals transition from a "spark" into building a shared life as a single unit.HG Coaching : https://bit.ly/46bIkdo Dr. K's Guide to Mental Health: https://bit.ly/44z3SztHG Memberships : https://bit.ly/3TNoMVf Products & Services : https://bit.ly/44kz7x0 HealthyGamer.GG: https://bit.ly/3ZOopgQ Learn more about your ad choices. Visit megaphone.fm/adchoices
Clay explores Daniel Kahneman's book Thinking, Fast and Slow, unpacking the cognitive biases that quietly shape our investment decisions. While markets often appear to be driven by data and logic, our decisions are frequently influenced by intuition, emotions, and mental shortcuts we don't even realize we're using. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:04:15 - Why temperament matters more than IQ in investing 00:11:10 - The difference between System 1 and System 2 thinking 00:16:01 - How cognitive substitution leads investors to answer the wrong questions and unknowingly ignore the more important questions 00:38:08 - How loss aversion shapes investor behavior during drawdowns and market volatility 00:54:01 - Clay's updated views on Constellation Software Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive TIP Mastermind Community to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Learn how to join us in Omaha for the Berkshire meeting here. Daniel Kahneman's book: Thinking Fast & Slow. Sequoia Fund's 2025 year-end letter. Follow Clay on X and LinkedIn. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Get smarter about valuing businesses in just a few minutes each week through our newsletter, The Intrinsic Value Newsletter. Check out our We Study Billionaires Starter Packs. Follow our official social media accounts: X (Twitter) | LinkedIn | Facebook. Browse through all our episodes here. Try our tool for picking stock winners and managing our portfolios: TIP Finance Tool. Enjoy exclusive perks from our favorite Apps and Services. Learn how to better start, manage, and grow your business with the best business podcasts. SPONSORS Support our free podcast by supporting our sponsors: HardBlock Human Rights Foundation Simple Mining Netsuite Masterworks Shopify Vanta Fundrise References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm
Today's Post - https://bahnsen.co/4tNvJGE David Bahnsen opens Dividend Cafe after a volatile week marked by a weaker-than-expected GDP report and a Supreme Court ruling striking down President Trump's tariff rationale under the Economic Emergency Act (with a deeper tariff discussion coming Monday). His core thesis: disinflation is likely in 2026—and it may not feel positive. He clarifies the difference between inflation (rising prices), disinflation (slower price increases), and deflation (falling prices). Bond markets are signaling softer expectations, with the 10-year Treasury near 4.07% and five-year inflation breakevens around 2.4%, suggesting modest real growth ahead. Recent GDP registered about 1.4% annualized, distorted in part by a government shutdown, while core PCE inflation is roughly 3% year-over-year versus 2.9% a year ago. Bahnsen expects services-driven disinflation, particularly as rent measures catch up to real-time data. However, that may not improve affordability given tight housing inventory and a frozen resale market. He also warns that business investment is overly concentrated in AI and data centers—echoing the fracking-era CapEx surge—while broader investment remains subdued. Risks to growth include a weak labor market with low hiring, a personal saving rate near 3.4% (raising the chance tax refunds rebuild savings instead of fuel spending), and muted bank lending despite lower rates. 00:00 A wild news week 01:48 Cutting through economic spin 03:23 Why 2026 disinflation may disappoint 04:36 Bond market signals 07:16 GDP and data distortions 10:49 Services-led disinflation 14:05 Concentrated CapEx risk 16:38 Labor, savings, and lending 20:09 Tariffs and demand drag 22:24 What to watch next Links mentioned in this episode: DividendCafe.com TheBahnsenGroup.com
Cuba's Severe Energy and Economic Collapse. Evan Ellis describes the catastrophic collapse of Cuba's economy. Cut off from Venezuelan and Mexican oil, the island faces severe rationing, blackouts, halted public services, and completely collapsed tourism. With millions fleeing the dire conditions, the communist regime's survival is heavily strained as basic resources fail. #61918 MT LEBANON
Show Notes: Sarah Pomeranz, founder of Consultants for Impact, provides an overview of the organization. Sarah explains that Consultants for Impact was born out of her own struggle as an early-career consultant at Accenture during the COVID-19 pandemic. She felt a dissonance between the problems she solved at work and broader societal issues, leading her to explore how her skill set could address global challenges like pandemics, climate crises, and democracy preservation. Sarah took a one-year leave of absence from Accenture to explore opportunities for high-impact work and decided to help other consultants build careers in the public interest. What Consultants for Impact Does The organization offers a peer-to-peer advising approach and matches former corporate consultants with social impact roles. They provide resources like career check-in templates and Career Conversations to help consultants identify their core values and find impactful roles. The process involves self-paced reflection prompts, one-on-one conversations with an advisor, and access to a network of consultants and high-impact organizations. The Advising Process Sarah describes the first step in the process: applying for a Career Conversation on their website. Applicants are matched with advisors, who are all former consultants, and are given curated resources based on their interests and background. The Career Conversation involves reflection prompts on values, problem areas, and previous roles, followed by a one-on-one discussion to address uncertainties and challenges. Participants join the Consultants for Impact community, gaining access to opportunities, events, and resources. Career Guidance for Consultants Sarah explains that the career guidance is personalized, depending on the individual's starting point and career goals. She uses the example of an independent consultant curious about impact to illustrate the process, emphasizing the importance of career as a tool for making the world better. The organization encourages consultants to think critically about where their skills can have the most impact, using the SELF framework (Significance, Efficacy, Leverage, Fit) to evaluate opportunities. The goal is to find roles that offer high impact, credible interventions, and opportunities for outsized effect. Job Search in the Impact Sector Sarah emphasizes the importance of thinking critically about problem areas and interventions, rather than just focusing on personal interests. She discusses the concept of Value Over Replacement Player (VORP) to highlight the importance of choosing roles where you provide more value than the next-best candidate.. The organization encourages consultants to consider unusual organizations and problem areas where their skills can have a significant impact. Roles for Consultants Sarah outlines various roles that consultants can transition into, including entrepreneurship, chief of staff roles, policy positions, product management, and grantmaking. She provides examples of successful transitions and the range of compensation levels, from bare-bones salaries to high six-figure earnings. The discussion includes the trade-offs between income and impact, with Sarah sharing her own experience of sacrificing future income increases for a more meaningful career. The organization helps consultants navigate these trade-offs and find roles that align with their non-negotiable values. Applying to the Impact Sector The conversation turns to preparing resumes and LinkedIn profiles for the impact sector. Sarah advises being thoughtful about solving core problems for resource-constrained clients and avoiding a salesy approach. She emphasizes the importance of demonstrating impact with metrics and specific examples. The organization coaches consultants on how to portray their experience in a way that builds trust and credibility in the impact sector. Building Relationships with NonProfits Sarah discusses how Consultants for Impact has built relationships with nonprofits and foundations around the world and created a reputation for providing high-quality referrals. Early efforts focused on building personal relationships and attending conferences in relevant cause areas. The organization now receives more referrals than they can handle, thanks to their reputation for curating top candidates. They also partner with other ecosystems like Umbrex to reach more consultants and build awareness of their services. Evaluating the Impact of Nonprofits Sarah advises evaluating the impact of nonprofits by focusing on the significance of the problem they address and the neglected nature of the issue. She recommends looking for organizations with external evaluators and focusing on real impact metrics rather than vanity metrics. Consultants for Impact works with third-party evaluators and foundations to assess the efficacy of nonprofits and ensure they are having a significant impact. They also provide resources and recommendations for high-impact organizations, helping consultants make informed decisions about their career paths. Promotion of Services Sarah explains how Consultants for Impact promotes their services through ads on LinkedIn, Meta, and Reddit, targeting consultants who are interested in self-discovery and career change. They also participate in workshops and events to raise awareness and connect with potential clients. The organization is committed to finding product-market fit and continuously improving their services based on feedback and referrals. Sarah invites listeners to visit their website and attend upcoming workshops to learn more about their offerings and connect with the community. Timestamps: 02:12: Consultants for Impact's Mission and Services 03:26: The Career Conversation Process 08:01: Personalized Career Guidance and Impact Framework 10:30: Sophisticated Job Search Strategies 15:05: Roles and Compensation in the Impact Sector 22:19: Preparing Collateral for the Impact Sector 24:39: Reaching Out to Nonprofits and Building Reputation 31:14: Evaluating the Impact of Nonprofits 36:17: Promoting Consultants for Impact and Future Plans Links: Consultants for Impact's website Application for free 1:1 career advising Consultants for Impact Career Check-In Template Understanding your Value Over Replacement Player (VORP): School for Moral AmbitionConsultants for Impact LinkedIn Refresh Guide Sign up for the Consultants for Impact newsletter, including 10 high-impact jobs every other week This episode on Umbrex: Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.
U.S. Air Force Master Sgt. Natalie Sonner, sustainment flight chief, and Tech. Sgt. Christopher Wilkinson, fitness non-commissioned officer, both assigned to the 122nd Fighter Wing, Fort Wayne, Ind., discuss duties, responsibilities and training of the force support squadron, January 9, 2026. Sonner and Wilkinson share stories and experiences from their service in the U.S. Air Force. (U.S. Air National Guard audio by Tech. Sgt. Kathleen LaCorte)
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
The Crisis of a Seared Conscience by Bishop Joaquin G. Molina
Kevin Hincks, reporting from the Cboe Global Markets, breaks down the latest snapshot of the labor market with this week's jobless claims. He adds commentary on International Trade in Goods and Services as well as the Philly Fed Manufacturing Index. Kevin has his eyes on the commodity space, with crude oil on his radar amid ongoing tensions in the Middle East. He believes the energy markets should continue to be watched closely as crude oil has risen more than 5% this week.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about
As heard on the WSJM Morning Show, the Hear & Now segment covers everyday hearing issues and questions and shares insights on how to improve your hearing experience! For more information, reach out to Professional Hearing Services office in St. Joseph. http://ProHear.net. See omnystudio.com/listener for privacy information.
Alex Gladstein and Justin Moon break down the fundamentals of large language models and explore the rise of OpenClaw as a self-sovereign AI assistant. Justin explains context engineering, local inference, and vibe coding, while Alex dives into the AI for Individual Rights program and its mission to empower activists. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:04:12 - What Large Language Models (LLMs) are and how they differ from traditional programs 00:05:15 - Why AI feels like magic—and what's really happening under the hood 00:06:01 - The key differences between open and closed AI models 00:06:50 - Why capital structures influence AI model openness 00:09:09 - How persistent memory enhances AI agent performance 00:12:18 - What inference means and why context is a scarce resource 00:19:32 - How AI agents combine traditional software with LLM reasoning 00:21:10 - The evolution from MCP-style systems to skills-based context engineering 00:25:41 - What “vibe coding” is and how it lowers the barrier to building apps 00:44:07 - How the AI for Individual Rights program supports activist-driven innovation Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Oslo Freedom Forum: Website. Justin: Nostr account. Related episode: Is AGI Here? Clawdbot, Local AI Agent Swarms w/ Pablo Fernandez & Trey Sellers. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Join the exclusive TIP Mastermind Community to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Follow our official social media accounts: X (Twitter) | LinkedIn | | Instagram | Facebook | TikTok. Check out our Bitcoin Fundamentals Starter Packs. Browse through all our episodes (complete with transcripts) here. Try our tool for picking stock winners and managing our portfolios: TIP Finance Tool. Enjoy exclusive perks from our favorite Apps and Services. Get smarter about valuing businesses in just a few minutes each week through our newsletter, The Intrinsic Value Newsletter. Learn how to better start, manage, and grow your business with the best business podcasts. SPONSORS Support our free podcast by supporting our sponsors: HardBlock Human Rights Foundation Simple Mining Netsuite Masterworks Shopify Vanta Fundrise References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm
In this episode of The Green Industry Podcast, host Paul reveals the top 10 most profitable add-on services beyond basic mowing.
Self Created Valuation Boosts Apple Announces new Podcast push AI – A breakdown Playing them like a fiddle – Warner Brothers PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - A NEW CTP just announced - China releasing new AI models - AI - A breakdown - we are on overload - Big Employment news.... Markets - Self Created Valuation Boosts - Apple Announces new Podcast push - Playing them like a fiddle - Warner Brothers Quick Note - Going to rip up the playbook on something this week on TDI Podcast. Anyone who owns an annuity should listen to what is about to come on next Sundays show..... No Agenda... Olympics - Anything to discuss? MONEY FOR ALL - The average tax refund is 10.9% higher so far this season, compared to about the same point in 2025, according to early filing data from the IRS. - The 2026 tax season opened Jan. 26, and the average refund amount was $2,290 as of Feb. 6, up from $2,065 about one year prior, the IRS reported Friday night. - As of Feb. 6, the total amount refunded was more than $16.9 billion, up 1.9% compared to last year, according to the IRS release. That figure reflects current-year returns only. - This is partly because there were excess-witholdings from last year on the rules changed and paycheck withholdings were not adjusted. This is a one time situation.. Emplyment - 4.3% - "Better" than expected payrolls number - A major revision was released last Wednesday. Overall 2025 job growth was much weaker than initially reported. The total net change for the full year 2025 was revised down from +584,000 jobs to just +181,000 jobs (seasonally adjusted) — an average of only about 15,000 jobs added per month instead of ~49,000. This made 2025 one of the weakest years for job creation in recent non-recession periods. - Employment levels were consistently overstated throughout 2025 by roughly 800,000 to over 1 million jobs, peaking around mid-year. For example: By March 2025, the level was revised down by 898,000. By December 2025 (preliminary), down by 1,029,000. - Monthly changes were also adjusted downward in most cases (e.g., August's originally reported -26,000 became a larger loss of -70,000; September's +108,000 became +76,000). - The revisions reflect normal annual benchmarking, but this one was unusually large (larger than the typical 0.2% average over the prior decade), likely due to factors like overestimation of business births or other data mismatches. - In short, the data reveals that the U.S. labor market in 2025 was significantly softer than the monthly headlines suggested at the time — job growth was overstated by a substantial margin, painting a picture of a much weaker employment picture for the year. AI Updates - While U.S. markets have been focused on the impact of Anthropic and Altruist's tools on software and financial services, China's tech giants have released AI models this week that have shown advancements in robotics and video generation. - Google is reporting that China's AI models are just MONTHS behind western models - However - is this progress? In a video demo, Alibaba showed a robot with pincers for hands that appeared to be able to count oranges, pick them up and place them in a basket. It was also shown taking milk out of a fridge. - Alibaba on Monday unveiled a new artificial intelligence model Qwen 3.5 designed to execute complex tasks independently, with big improvements in performance and cost that the Chinese tech giant claims beat major U.S. rival models on several benchmarks. - Zhipu AI — which trades as Knowledge Atlas Technology in Hong Kong said the model approaches Anthropic's Claude Opus 4.5 in coding benchmarks while surpassing Google's Gemini 3 Pro on some tests. - Shares of MiniMax also jumped Thursday after it launched its updated M2.5 open-source model with enhanced AI agent tools. Grok Update - Grok, Elon Musk's AI chatbot, has been gaining ground in the U.S. over the past months, data showed, even as it draws global censure and regulatory scrutiny after being used to generate a wave of non-consensual sexualized images of women and minors. - U.S. market share of the tool rose to 17.8% last month from 14% in December, and 1.9% in January 2025, according to data from research firm Apptopia. - Men are still the largest % users of Grok ~ 78% (down from 89% in April 2025) AI Market Share - ChatGPT's share slumped to 52.9% last month from 80.9% in January last year, while Gemini's grew to 29.4% from 17.3% over the same period. AI Market Share InfoGrapic and AI Understanding - Have we gone through this? - At its core, AI is technology that lets machines perform tasks that normally require human intelligence — things like understanding language, recognizing images, making decisions, or solving problems. - Modern AI (especially since ~2022) is dominated by machine learning — systems that learn patterns from huge amounts of data instead of being explicitly programmed rule-by-rule. - Inference is the "using" or "applying" phase of AI — when a trained model takes new input and produces an output / prediction / answer. Contrast with training (the "learning" phase): ------ Training ? Like a student studying for years: very compute-heavy, expensive, done once (or rarely) on massive servers/GPUs, adjusts billions of parameters based on examples. ------ Inference ? Like the student taking a test or doing their job: much faster, cheaper, runs on your phone/laptop/cloud, uses the fixed knowledge from training to respond instantly. - gentic AI takes regular AI (like chat models) to the next level: instead of just answering questions or generating text, these systems act autonomously to achieve goals with minimal human help. "Agentic" comes from "agency" — the ability to make decisions, plan, use tools, take actions, adapt, and even learn from results — like a smart digital employee rather than just a smart answer machine. AI Infographic Last AI Item - A shortage of memory chips is hammering profits, derailing corporate plans, and inflating price tags on various products, with the crunch expected to get worse. - The fundamental reason for the squeeze is the buildout of AI data centers, with companies like Alphabet and OpenAI buying up large shares of memory chip production, leaving consumer electronics producers fighting over a dwindling supply. - The resulting price spikes are causing concern, with some warning of "RAMmageddon" and others predicting that memory chip prices will go "parabolic", bringing lavish profits to some companies but painful prices to the rest of the electronics sector. Here is something: - Gallup will no longer track presidential approval ratings after nearly 90 years - Founded by George Gallup in 1935, the Washington, DC-based management company began tracking the president's job performance 88 years ago. - Gallup told USA TODAY it will no longer publish "favorability ratings of political figures," a decision it said "reflects an evolution in how Gallup focuses its public research and thought leadership." - Gallup said the ratings are now "widely produced, aggregated and interpreted, and no longer represent an area where Gallup can make its most distinctive contribution." - "Our commitment is to long-term, methodologically sound research on issues and conditions that shape people's lives," the company wrote, adding that its work will continue through the Gallup Poll Social Series, the Gallup Quarterly Business Review, the World Poll and more. - Seems like they are unable to SHAPE opinion due to social media etc.....? Apple Podcast Update - Big news! - Apple on Monday announced that it will bring a new integrated video podcast experience to Apple Podcasts this spring. - The move comes as video viewership continues to reshape podcasting. About 37% of people over age 12 watch video podcasts monthly, according to Edison Research. - The update brings Apple Podcasts more in-line with its competitors Spotify, YouTube and now Netflix, which have increasingly leaned into video podcasting. -“Twenty years ago, Apple helped take podcasting mainstream by adding podcasts to iTunes, and more than a decade ago, we introduced the dedicated Apple Podcasts app,” said Eddy Cue, Apple's senior vice president of Services, in a statement. “ - By bringing a category-leading video experience to Apple Podcasts, we're putting creators in full control of their content and how they build their businesses, while making it easier than ever for audiences to listen to or watch podcasts.” M&A - Texas Instruments Inc. has reached an agreement to buy Silicon Laboratories Inc. for about $7.5 billion, deepening its exposure to several markets for chips. - Silicon Labs investors will receive $231 in cash for each share of the company's common stock and the transaction is expected to close in the first half of 2027. - The transaction still needs to win approval by investors in Silicon Labs and shares of Silicon Labs surged by 51% to $206.48 after the announcement. Inflation - This helps - PepsiCo, will cut prices on core brands such as Lay's and Doritos by up to 15% following a consumer backlash against several previous price hikes, the snacks and beverage maker said on Tuesday after it topped fourth-quarter results. Miran - Moving - Federal Reserve Governor Stephen Miran is leaving his post as chair of the Council of Economic Advisers, CNBC has confirmed. - He joined the CEA in January 2025, but had been on leave from that post since last September when he filled the unexpired term of former Fed Governor Adriana Kugler.- He reamins on Fed board No Biggie???? - There are some astonishing cased being reported of Bad AI in the operating room - JNJ's TruDi Navigation System - Since AI was added to the device, the FDA has received unconfirmed reports of at least 100 malfunctions and adverse events. - At least 10 people were injured between late 2021 and November 2025, according to the reports. Most allegedly involved errors in which the TruDi Navigation System misinformed surgeons about the location of their instruments while they were using them inside patients' heads during operations. - Cerebrospinal fluid reportedly leaked from one patient's nose. In another reported case, a surgeon mistakenly punctured the base of a patient's skull. In two other cases, patients each allegedly suffered strokes after a major artery was accidentally injured. Cuba - The main airport has putt out a bulletin that they are out of Jet Fuel - Blackouts and lack of other fuels are creating big problems - No airlines have stopped running at this point, but many will as they cannot refuel - This is a bigger problem for cargo planes (supplies) that may not be able to risk flying to Cuba as they will not be able to get out. Dalio Warning - Legendary investor Ray Dalio said on Tuesday the world was “on the brink” of a capital war. - He said central banks and sovereign wealth funds were already preparing for measures like foreign exchange and capital controls. - "When money is weaponized using measures like trade embargoes, blocking access to capital markets, or using ownership of debt as leverage." - “Capital, money, matters,” Dalio said Tuesday. “We're seeing capital controls … taking place all over the world today, and who will experience that is questionable. So, we are on the brink — that doesn't mean we are in [a capital war now], but it means that it's a logical concern.” - Could this be why gold and siver are being hoarded (physical assets over digital currency? - Is China's edict to banks to diversify away from US Treasuries a sign? Self Boosted Valuation - Waymo is aiming to raise about $16 billion in a financing-round that would value it at nearly $110 billion, Bloomberg News reported, citing people familiar with the matter. - Alphabet would provide about $13 billion to the autonomous driving firm while the rest would come from investors including Sequoia Capital, DST Global and Dragoneer Investment Group, the report added. - Soooooo - Waymo is a unit of Alphabet.... Alphabet providing 80% of the funding that boosts valuations..... Hmmmmmmmm Warner Brothers - Warner Bros Discovery Inc is considering reopening sale talks with Paramount Skydance Corp after receiving its amended offer. - The Warner Bros board is discussing whether Paramount could offer a path to a superior deal, which may ignite a second bidding war with Netflix Inc. - Paramount submitted amended terms that addressed several concerns, including covering a fee owed to Netflix and offering to backstop a Warner Bros debt refinancing. Economics Coming Up - Short Week - plenty of Reports - Wednesday - Durable Goods, Housing Starts, Industrial Production, FOMC Minutes - Thursday - Philly Fed, Initial Claims - Friday: PCE, Personal Income and Spending, GDP for Q4 (3.6%) ----- New Home Sales, UMich Feb Final Love the Show? Then how about a Donation? ANNOUNCING THE THE CLOSEST TO THE PIN for CATERPILLAR Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt! FED AND CRYPTO LIMERICKS See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter
Favour Obasi-ike, MBA, MS breaks down Apple's video podcast launch in iOS 26.4, covering HLS streaming, approved hosting platforms, and strategic business applications. This episode features live consultation with Amanda (ice cream bus owner) demonstrating podcast marketing for local businesses covering SEO, multi-platform distribution, and monetization strategies from 7 years of podcasting experience (620+ episodes, 160 countries).Book SEO Services | Quick Links for Social Business>> Book SEO Services with Favour Obasi-ike>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> Join our exclusive SEO Marketing community>> Read SEO Articles>> Subscribe to the We Don't PLAY Podcast>> Purchase Flaev Beatz Beats Online>> Favour Obasi-ike Quick LinksPodcast Episode Key TopicsApple Video Launch: HLS video podcasts, 20-year milestone, creator controlApproved Platforms: Acast, Art19 (Amazon), Triton Omni Studio, SiriusXM (+ AdsWiz, Simplecast)Business Strategy: SEO benefits, organic reach, local targeting, intellectual propertyTechnical: RSS feeds, website integration, domain authority, analyticsContent: Keyword optimization, repurposing, geographic targetingTimestamps00:00-10:00 Intro, iOS 26.4 announcement, HLS explanation, platform partnerships10:00-20:00 SEO fundamentals, website strategy, content discoverability20:00-42:00 Live case study: Amanda's ice cream business, local SEO, city-flavor strategy42:00-50:00 Metrics analysis, trust scores, domain authority (18-22 pt variance)50:00-60:00 Episode naming, URL structure, host's Spotify-to-Art19 switch60:00-73:32 Tutorial strategy, listening contexts, QR codes, restaurant SEO, closingEpisode Key TakeawaysApple video = game-changer for creator control & monetizationOnly approved platforms support Apple video (IAB certified)Local businesses thrive via organic SEO reachMulti-platform distribution essential (Apple, Spotify, YouTube, Pandora)Use keyword-rich titles, not "Episode 001"Dual video+audio strategy for different contextsConsistency builds authority (host: 50 domain/podcast score)Podcasts = evergreen intellectual propertyFormula: Domain + Hosting + SEO = High PerformanceStrategic planning pays off (Art19 switch July 2025 → Apple launch Feb 2026)Favour Obasi-ike's Notable Quotes"Today marks a defining milestone...bringing category leading video experience to Apple Podcasts." - Eddie Q, Apple SVP "Video is the next chapter for podcasting." - Jov Matei, Art19 CEO "Think about podcasting as intellectual property, thought leadership, SEO, and building relationships." "Little drops make a big ocean wave." "I'm planting seeds for the future I don't know will happen."Top FAQsQ: What is iOS 26.4 for video podcasts?A: Apple's system update introducing HLS video podcast support with creator control.Q: Which platforms support it?A: Acast, Art19, Triton Omni Studio, SiriusXM (+ AdsWiz, Simplecast). Q: Should local businesses podcast?A: Yes—organic reach without paid ads, builds trust, targets geography.Q: Best episode naming?A: Use keywords first, not "Episode 001." Example: "Vanilla Ice Cream: Best Summer Flavors"Q: Need a website?A: Yes for SEO. Domain + Hosting + SEO = High Performance.Action ItemsImmediate: Update to iOS 26.4, check hosting platform, audit episode titlesShort-term: Develop dual video/audio strategy, set up analytics, research local SEOLong-term: Build consistent schedule, create evergreen tutorials, track domain authority growthLocal Businesses: Map products to locations, create local content, implement QR codesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Fastest 5 Minutes, The Podcast Government Contractors Can't Do Without
This week's episode covers a proposed FAR provision entitled “Prohibition on Certain Semiconductor Products and Services” implementing Section 5949 of the FY23 NDAA, and is hosted by Peter Eyre and Addie Cliffe. Crowell & Moring's "Fastest 5 Minutes" is a biweekly podcast that provides a brief summary of significant government contracts legal and regulatory developments that no government contracts lawyer or executive should be without.
The MacVoices Live! panel dives into several topics including record earnings driven by strong iPhone demand and growing services revenue and how supply constraints and shifting Wall Street sentiment affects the future. Chuck Joiner, David Ginsburg, Jeff Gamet, Jim Rea, Web Bixby, Brian Flanigan-Arthurs, Eric Bolden, Marty Jencius, Mark Fuccio, and Norbert Frassa discuss Apple's rare security updates for Catalina and Big Sur, the transition to the new Home architecture, and the two-year milestone of Vision Pro, reflecting on its software maturity and future potential. MacVoices is supported by CleanMyMac from MacPaw. Get Tidy Today! Try 7 days free and use my code MACVOICES20 for 20% off at http://clnmy.com/MACVOICES. MacVoices is supported by Incogni. Take your personal data back with Incogni! Get 60% off an annual plan at https://incogni.com/chuck and use code “chuck" at checkout. Show Notes: Chapters: 0:00 Show introduction and panel roll call3:30 Live chat experiment and audience participation6:45 Apple Home architecture transition reminder11:40 Vision Pro two-year anniversary reflections24:30 Apple security updates for Catalina and Big Sur33:50 Earnings call overview and record profits40:20 Services growth and device install base milestones46:10 Supply constraints and Wall Street reaction52:30 Shareholder meeting and financial outlook discussion Links: Apple Vision Pro Launched Two Years Ago Todayhttps://www.macrumors.com/2026/02/02/apple-vision-pro-launched-two-years-ago/ Apple has just released security updates for Catalina and Big Surhttps://eclecticlight.co/2026/02/02/apple-has-just-released-security-updates-for-catalina-and-big-sur/ Apple's latest earnings report shocked Wall Street & tempered expectationshttps://appleinsider.com/articles/26/01/30/analysts-caught-flat-footed-as-iphone-supply-not-demand-capped-growth Apple keeps winning today by betting on tomorrowhttps://www.macworld.com/article/3042600/apple-keeps-winning-today-by-betting-on-tomorrow.html Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Norbert Frassa is a technology “man about town”. Follow him on Twitter and see what he's up to. Mark Fuccio is actively involved in high tech startup companies, both as a principle at piqsure.com, or as a marketing advisor through his consulting practice Tactics Sells High Tech, Inc. Mark was a proud investor in Microsoft from the mid-1990's selling in mid 2000, and hopes one day that MSFT will be again an attractive investment. You can contact Mark through Twitter, LinkedIn, or on Mastodon. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss
The MacVoices Live! panel dives into several topics including record earnings driven by strong iPhone demand and growing services revenue and how supply constraints and shifting Wall Street sentiment affects the future. Chuck Joiner, David Ginsburg, Jeff Gamet, Jim Rea, Web Bixby, Brian Flanigan-Arthurs, Eric Bolden, Marty Jencius, Mark Fuccio, and Norbert Frassa discuss Apple's rare security updates for Catalina and Big Sur, the transition to the new Home architecture, and the two-year milestone of Vision Pro, reflecting on its software maturity and future potential. MacVoices is supported by CleanMyMac from MacPaw. Get Tidy Today! Try 7 days free and use my code MACVOICES20 for 20% off at http://clnmy.com/MACVOICES. MacVoices is supported by Incogni. Take your personal data back with Incogni! Get 60% off an annual plan at https://incogni.com/chuck and use code "chuck" at checkout. Show Notes: Chapters: 0:00 Show introduction and panel roll call 3:30 Live chat experiment and audience participation 6:45 Apple Home architecture transition reminder 11:40 Vision Pro two-year anniversary reflections 24:30 Apple security updates for Catalina and Big Sur 33:50 Earnings call overview and record profits 40:20 Services growth and device install base milestones 46:10 Supply constraints and Wall Street reaction 52:30 Shareholder meeting and financial outlook discussion Links: Apple Vision Pro Launched Two Years Ago Today https://www.macrumors.com/2026/02/02/apple-vision-pro-launched-two-years-ago/ Apple has just released security updates for Catalina and Big Sur https://eclecticlight.co/2026/02/02/apple-has-just-released-security-updates-for-catalina-and-big-sur/ Apple's latest earnings report shocked Wall Street & tempered expectations https://appleinsider.com/articles/26/01/30/analysts-caught-flat-footed-as-iphone-supply-not-demand-capped-growth Apple keeps winning today by betting on tomorrow https://www.macworld.com/article/3042600/apple-keeps-winning-today-by-betting-on-tomorrow.html Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Norbert Frassa is a technology "man about town". Follow him on Twitter and see what he's up to. Mark Fuccio is actively involved in high tech startup companies, both as a principle at piqsure.com, or as a marketing advisor through his consulting practice Tactics Sells High Tech, Inc. Mark was a proud investor in Microsoft from the mid-1990's selling in mid 2000, and hopes one day that MSFT will be again an attractive investment. You can contact Mark through Twitter, LinkedIn, or on Mastodon. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession 'firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss
Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Shelby Williams.
Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Shelby Williams.
Today Sam D'Arc is joined by Justin Zane, SVP, US Marketplace & Services at OPENLANE. We unpack why digital auctions have overtaken physical lanes in reach and efficiency, and why old habits—not economics—are keeping brick-and-mortar alive. Justin explains how off-lease inventory is reshaping acquisition strategy, where AI improves condition accuracy, and why speed is now the dealer's most valuable asset. This episode is brought to you by: 1. Wikimotive - Wikimotive delivers organic and paid search solutions to hundreds of dealerships from rural rooftops to multiple top-5 national dealers. Their focus is simple: get your store in front of people already searching for a car or service, and measure success by the leads and appointments that follow — not vanity metrics. Visit @ https://wikimotive.com/CDG/ 2. Openlane - The world's best online dealer marketplace for used cars, bringing you exclusive inventory, simple transactions, and better outcomes. Learn more @ openlane.com/cdg Check out LotGPT here: https://lotlinx.com/lotgpt-waitlist/ Check out Car Dealership Guy's stuff: For dealers: CDG Circles ➤ https://cdgcircles.com/ Industry job board ➤ http://jobs.dealershipguy.com Dealership recruiting ➤ http://www.cdgrecruiting.com Fix your dealership's social media ➤ http://www.trynomad.co Request to be a podcast guest ➤ http://www.cdgguest.com For industry vendors: Advertise with Car Dealership Guy ➤ http://www.cdgpartner.com Industry job board ➤ http://jobs.dealershipguy.com Request to be a podcast guest ➤ http://www.cdgguest.com Topics: 04:06 How does Openlane help dealers win? 05:16 What's happening with off-lease EV prices? 07:31 What are the key tips for buying EVs? 09:09 How can dealers move aged inventory? 11:56 Digital auctions versus physical lanes 15:25 How is trust built in online buying? 18:54 What AI features does Openlane use? 22:04 What are the key takeaways for 2026? Car Dealership Guy Socials: X ➤ x.com/GuyDealership Instagram ➤ instagram.com/cardealershipguy/ TikTok ➤ tiktok.com/@guydealership LinkedIn ➤ linkedin.com/company/cardealershipguy Threads ➤ threads.net/@cardealershipguy Facebook ➤ facebook.com/profile.php?id=100077402857683 Everything else ➤ dealershipguy.com
Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Shelby Williams.
Feb. 16, 2026 - Northern Rivers Family of Services CEO Bill Gettman identifies red tape the state could cut to improve non-profit operations, makes the case for a cost of living adjustment that keeps up with inflation and encourages the Hochul administration to speed up their effort to give localized mental health services to poor kids.
What if the hardest part of moving abroad isn't finding a house, but finding yourself? In this episode, Doreen Cumberford sits down with Vivian Chiona, founder of Expat Nest, an online counselling platform offering psychological support in nine languages to expats, repats, and global nomads worldwide.Vivian brings warmth, wisdom, and 12 years of experience helping internationally mobile people navigate the emotional terrain that logistics can't fix. Together they explore the invisible side of expat life including the culture shock, identity shifts, and loneliness that can ambush even the most seasoned global citizen.In this episode you'll discover:Why saying goodbye well is a skill — and why it matters for how you arriveThe most common blind spots expats have when they think moving is "just logistics"Warning signs your mind and body are telling you to seek supportHow transgenerational patterns shape your expat experience (and why your grandparents' journey might be living in your bones)Why loneliness is really about disconnection — and practical ways to rebuild belongingThe secret to a happy repatriation: building your global village back homeVivian's mantra for every expat: "This too shall pass"About Vivian Chiona: Vivian is a psychologist, intercultural expert, and founder of Expat Nest offering e-counselling in nine languages including English, Greek, Spanish, Portuguese, Italian, Chinese, and Arabic. Services cover individuals, teenagers, couples, and families. A free 15-minute consultation is available, and direct billing with many insurances is offered.Connect with Vivian at:
Welcome to episode 215 of the Killing IT Podcast! In this lively installment, hosts Karl Palachuk, Dave Sobel, and Ryan Morris kick off the new year by comparing winter experiences across the country—from sunny California to snow-blocked Virginia and the mild slopes of Utah.The conversation quickly shifts gears to tackle some of the biggest challenges—and opportunities—facing IT businesses today. The trio dives deep into the global arms race for electricity, highlighting China's explosive growth in energy capacity and exploring what it means for data centers, AI, quantum computing, and the MSP landscape. They emphasize that reliable power isn't just a utility, but the lifeblood of all technological progress.The hosts then dissect major investments in AI within the IT services industry, focusing on the partnership between Thrive Holdings, Shield Technology Partners, and OpenAI. Will the influx of capital and the hands-on involvement of OpenAI engineers reshape managed services—or disrupt the competitive landscape for smaller providers?Finally, the conversation turns to the hot topic of AI-driven software development and its impact on the traditional software industry. Is it hype, a genuine threat, or a new era of innovation? Dave, Ryan, and Karl share strong opinions on whether AI will augment or replace human developers, and what that means for both market leaders and scrappy startups. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Mindy English, LSEM's Director of Programs and Services, joins the podcast to talk about hands-on, multi-sensory learning. English spent most of her career in education in early childhood education, specifically with children from ages 0-3 through kindergarten.
In this episode, Brock Johnson breaks down how to fix a shadowban on Instagram in 2026 and explains what's actually happening when your reach drops. He clarifies the difference between a true shadowban and normal algorithm behavior, including why many accounts feel stuck in the “200 view” range and why engagement suddenly declines. Brock walks through how to check your Instagram account status, identify potential content suppression issues, and recover from low views using strategies like shareworthy carousels and updated posting approaches. This episode also debunks common shadowban myths and explains how recent Instagram algorithm changes affect visibility, reach, and content distribution in 2026. Watch On YouTube
In this episode of The Green Industry Podcast, host Paul breaks down how lawn care business owners can price their services profitably in 2026—revealing the underpricing trap that's silently costing thousands, sharing real cost calculations (including a detailed overhead breakdown), Florida-specific market rates, proven pricing models, and practical steps to raise prices without losing good clients. Price Increase Letter Template
In this episode, Dr. K is joined by Qigong Master Lee Holden to explore how ancient energy practices can be used to treat modern mental health struggles like burnout, anxiety, and distraction,. They bridge the gap between Eastern concepts of "Chi" and Western medical science, debating whether "aliveness" is a mystical force or simply advanced physiology and bio-electricity,,,. What to expect in this episode: • The Power-Up Sequence: A guided five-minute practice designed to clear stagnant energy and provide an immediate boost for those feeling sluggish or physically stuck after sitting too long,,. • Building Emotional Immunity: Dr. K and Lee discuss "heart chi deficiency" and demonstrate a routine to protect sensitive individuals from absorbing the stress and negativity of the world around them,,. • The Earth Center for Focus: A deep dive into "student syndrome" and how to use grounding movements to overcome brain fog, rumination, and the constant pull of digital distractions,,,. • The Science of Sleep: An analysis of why it takes significant energy to fall asleep and how balancing your internal "Yin and Yang" throughout the day determines the quality of your rest,,,. • Systemic Fixes vs. Behavioral Change: A candid discussion on why modern institutions—from schools to big pharma—often reward quick-fix results like grades or medication over the deeper, more effective path of learning and habit change.HG Coaching : https://bit.ly/46bIkdo Dr. K's Guide to Mental Health: https://bit.ly/44z3SztHG Memberships : https://bit.ly/3TNoMVf Products & Services : https://bit.ly/44kz7x0 HealthyGamer.GG: https://bit.ly/3ZOopgQ Learn more about your ad choices. Visit megaphone.fm/adchoices
There's an argument that has gone around for decades and it revolves around the idea of how much worship music do we need? Do we have enough? On the one hand, yes, we have more worship music than we'll ever be able to use in our Sunday morning services. And there's also the argument that worship music is the most lucrative music in Christian music. I don't think that can be debated. So while there are business and industry incentives to make worship music that will always exist at the intersection of Christianity and industry, what is the biblical perspective? What does the Bible teach us about singing, songwriting, and corporate worship? Trip Lee is a hip hop artist, a preacher, a rapper, an author…and he's released a worship album. I appreciate Trip and his commitment to God's Word. We talk about the power of worship music, why we need more cultural expressions of it, and how worship music should be viewed as a tool of discipleship. We also talk about culture and Christianity, racial tension, and how we should think about the division in the church right now. Trip is awesome and this conversation was a joy. This is David Santistevan and you can reach me anytime at david@beyondsundayworship.com. As always thank you for listening. Topics Covered: Trip’s story of coming to faith in Christ The influence of church music on Tripp’s music Musical and theological influences Why Tripp decided to make a worship album The intersection of culture and church Why it can be challenging to partner together across racial and cultural lines Resources Mentioned: Show Sponsor: Planning Center For Your Glory EP by Trip Lee & Brag Worship Brag Worship Show Sponsor: This episode is sponsored by Planning Center, an all-in-one church management software made to help churches help people. You can organize your ministries and keep everyone on your team communicating and aligned around what's going on. As a worship leader, good communication is key to building a strong worship team. You can cultivate relationships while ensuring everyone has what they need to successfully prep for your services. But why not take it up a notch using the chat feature? Built right into the Services mobile app—which, by the way, you should totally download if you haven't already—chat helps you coordinate all the service details with your team. Plus, you can have fun while doing it! No more juggling emails, group texts, and multiple apps to ensure your whole team is aligned. Chat will simplify your communication in one convenient place through the Services mobile app. And everyone can ask questions, request prayer, or join the banter in real-time with one another. The really cool part about chatting with your teams? Team members are dynamically added or removed from conversations as availability changes! So if your original bass player suddenly declines (why is it so hard to find a bass player, anyway?), your newly scheduled bass player is automatically added to the chat conversation. All of your chat conversations stay in sync. No more outdated group threads or irrelevant messages! So what are you waiting for? Download the Services app and start chatting! The post #383: Making Worship Music That Doesn’t Sound Like Worship Music with Trip Lee appeared first on Beyond Sunday Worship.
The guys welcome Todd Dickerson of Top Dog, as well as some imported snow fighters who were brought in to help battle the storm at Dulles!
In this masterclass episode, Favour Obasi-ike, MBA, MS delivers an in-depth exploration of web sales optimization (CRO - conversation rate optimization) through strategic search engine marketing (SEM). The episode focuses on the critical relationship between website speed and conversion rates, revealing how technical optimization directly impacts sales performance. Favour emphasizes that web sales are fundamentally a result of web speed, explaining that websites loading slower than 3 seconds can decrease conversion rates by at least 7%, with compounding effects reaching 20% for sites taking 10 seconds to load.The discussion covers comprehensive website optimization strategies, including image optimization (recommending WebP format over JPEG/PNG), structured data implementation with schema markup, and the importance of optimizing every website element from headers and footers to file names and internal linking structures. Favour introduces the concept of treating URLs like seeds that need time to grow, recommending a 2-3 month planning horizon for content strategy.The masterclass also explores collection pages, category optimization, and the strategic use of content hubs to create pathways for user navigation. Favour shares practical tools and resources for keyword research and competitive analysis, while emphasizing the importance of submitting websites to Google Search Console and Bing Webmaster Tools for maximum visibility. The episode concludes with actionable advice on implementing these strategies either independently or through professional SEO consultation.Book SEO Services | Quick Links for Social Business>> Book SEO Services with Favour Obasi-ike>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> Join our exclusive SEO Marketing community>> Read SEO Articles>> Subscribe to the We Don't PLAY Podcast>> Purchase Flaev Beatz Beats Online>> Favour Obasi-ike Quick Links
I dig into the Kentucky Auditor's report that found over $133 million in questionable spending by the Beshear administration. The report found issues with:
Services are at 8 am, 9:30 am & 11 am, Sunday. www.gracemc.org
253 | In den letzten Wochen hat sich der Fortschritt von AI deutlich beschleunigt. Was kommt als nächstes und wo lauern neue Geschäftsideen?Partner dieser Folge:ClockodoClockodo ist das Time Tracking Tool unserer Wahl. Auf https://www.clockodo.com/optimisten bekommst du mit Gutschein-Code optimisten25 25% RabattMach das 1-minütige Quiz und finde eine Geschäftsidee, die zu dir passt: digitaleoptimisten.de/quiz. Mich erreichst du unter alexander@digitaleoptimisten.de.Schick uns deine Audio-Message auf speakpipe.com/digitaleoptimisten.Kapitel(00:00) Intro(01:20) Wie kann man mit dem Tech Stack noch mithalten?(09:30) OpenClaw: Die Architektur des Internets ändert sich(22:00) Coder werden zu göttern?(37:00) Post von Optimisten: Tool-Inspiration von Mirja(39:00) Hörer Matthias baut Learningcards.com(46:00) Geschäftsidee von Hörer Felix: B2B Siri(49:30) Geschäftsidee von Samuel: AI Ready - Bootcamp(54:30) Geschäftsidee von Alex: StackScoutLearningsAI-Layer verändert SoftwarearchitekturOpenClaw ist der erste AI-Agent, der Aktionen im Internet durchführt und SaaS-Anwendungen direkt bedient. Dadurch verschiebt sich die Bedienung von Software von Benutzeroberflächen hin zu einem AI-Agenten. Der Wert entsteht vor allem daraus, wie effizient der Mensch seine Aufmerksamkeit einsetzt.Bestehende Firmen müssen radikal neu denkenEtablierte B2B-SaaS-Firmen müssen AI in ihr Produktdesign integrieren und nicht nur smarter machen. SAP-Migrationen zeigen, wie IT-Abteilungen monatelang blockiert werden; AI-basierte Services könnten aus Abteilungen wie Risk Management, Advisory, Cyber Security, Front Office, Tax Services entstehen. Ohne radikale Neugestaltung riskieren sie, von AI-getriebenen Gründern überholt zu werden.AI täglich praktisch nutzenNutze AI täglich und integriere sie in den Arbeitsalltag, am besten mit Tools, die du regelmäßig nutzt; der Vorschlag: etwa 50 Euro pro Monat investieren und Tools zu deiner Startseite machen. Beginne mit einem konkreten Projekt, bei dem AI die Kernaufgabe übernimmt, um schnell messbare Ergebnisse zu erzielen. So entwickelst du eine Praxis, in der AI langfristig zum Werttreiber wird.Distribution entscheidet über ErfolgKonkrete Produktideen wie The Learning Cards zeigen, dass Distribution wichtiger ist als die reine Technologie. Eine physische Verpackung oder Box als Vertriebskanal kann helfen, komplexe Konzepte greifbar zu machen; Kooperationen mit Buchläden oder lokales Offline-Marketing werden diskutiert. Offene Frage bleibt, wie physische Distribution wirkungsvoll skaliert wird, um Adoption zu beschleunigen.KeywordsKünstliche Intelligenz im UnternehmenseinsatzAI-Agenten und AutomatisierungAI-Architektur im UnternehmenAI-Readiness BootcampStack Scout AI Stack Empfehlungwie AI-gestützte Automatisierung Geschäftsprozesse verändertAI-Agenten im Unternehmensalltag einsetzenArchitektur einer Unternehmenssoftware mit AI LayerWie etablierte Firmen auf AI-basierte Architekturen umstellenOpenClaw Claude Bot Sicherheit BedenkenMake.comAirtableSAP S4HANAPersonio
Clement Manyathela speaks with the listeners on which mayoral candidate will work better for the city of Johannesburg and they also touch on the safety concerns of e-hailing service drivers after the viral video of an e-hailing driver being murdered in an attempt of robbing him. The Clement Manyathela Show is broadcast on 702, a Johannesburg based talk radio station, weekdays from 09:00 to 12:00 (SA Time). Clement Manyathela starts his show each weekday on 702 at 9 am taking your calls and voice notes on his Open Line. In the second hour of his show, he unpacks, explains, and makes sense of the news of the day. Clement has several features in his third hour from 11 am that provide you with information to help and guide you through your daily life. As your morning friend, he tackles the serious as well as the light-hearted, on your behalf. Thank you for listening to a podcast from The Clement Manyathela Show. Listen live on Primedia+ weekdays from 09:00 and 12:00 (SA Time) to The Clement Manyathela Show broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/XijPLtJ or find all the catch-up podcasts here https://buff.ly/p0gWuPE Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook https://www.facebook.com/TalkRadio702 702 on TikTok https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.
Kyle Grieve discusses how a series of unforgettable real-world stories reveal the hidden psychological traps that derail investors. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:03:07 - How Ronaldo's Coke incident reveals the danger of false cause and effect 00:07:44 - Why patience in investing can beat the urge to stay busy 00:09:21 - How Muhammad Ali showed the power of waiting for the perfect moment 00:12:54 - Why Bobby Bonilla's contract exposes the time value of money 00:16:02 - How the Madoff scandal proves great results can hide massive fraud 00:22:09 - Why Isaac Newton's failure reveals how FOMO traps even the smartest minds 00:27:17 - How Hetty Green shows the strength of buying value when others won't 00:36:23 - What the long SPAC history warns us about hype repeating through time 00:47:33 - How relying on autopilot in markets can quietly lead you into danger 00:52:06 - Why inflation acts like a silent force pushing your spending power backward Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive TIP Mastermind Community to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Learn how to join us in Omaha for the Berkshire meeting here. Read Trailblazers, Heroes, & Crooks: Stories to Make You a Smarter Investor here. Follow Kyle on Twitter and LinkedIn. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Get smarter about valuing businesses in just a few minutes each week through our newsletter, The Intrinsic Value Newsletter. Check out our We Study Billionaires Starter Packs. Follow our official social media accounts: X (Twitter) | LinkedIn | Facebook. Browse through all our episodes here. Try our tool for picking stock winners and managing our portfolios: TIP Finance Tool. Enjoy exclusive perks from our favorite Apps and Services. Learn how to better start, manage, and grow your business with the best business podcasts. SPONSORS Support our free podcast by supporting our sponsors: HardBlock Human Rights Foundation Simple Mining Netsuite Shopify Plus500 Vanta Masterworks Fundrise References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm
Shawn O'Malley and Daniel Mahncke break down Netflix (ticker: NFLX) and discuss whether the company has finally won the streaming wars. While growth looked challenged back in 2022, Netflix has proven resilient in the face of competition and economic slowdowns by leaning into advertising and password crackdowns, with much room left to run internationally. IN THIS EPISODE, YOU'LL LEARN: 00:00:00 - Intro 00:13:36 - How Netflix pivoted from mailing DVDs to streaming 00:14:48 - How Netflix killed Blockbuster 00:24:20 - Why the business works so well with two co-CEOs 00:46:25 - How being a first-mover got Netflix through the cash burn phase before any competition arose 00:48:29 - What Netflix is doing to sustain growth into the future 00:54:00 - What makes the company's culture so legendary 01:04:18 - Why Netflix's app just “works” better than the competition 01:18:03 - How to think about modeling NFLX's intrinsic value 01:22:28 - Whether Shawn and Daniel add NFLX to their Intrinsic Value Portfolio *Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences. BOOKS AND RESOURCES The Investors Podcast Network is excited to debut a new community known as The Intrinsic Value Community for investors to learn, share ideas, network, and join calls with experts: Sign up for the waitlist(!) Sign up for The Intrinsic Value Newsletter. Learn how to join us in Omaha for the 2026 Berkshire Hathaway shareholder meeting. Track The Intrinsic Value Portfolio. Shawn & Daniel use Fiscal.ai for every company they research — use their referral link to get started with a 15% discount! Value Investors Club pitch on NFLX. The Acquired podcast's episode on Netflix. Business Breakdowns' podcast on Netflix. Check out No Rules Rules by Reed Hastings & Erin Meyer. Netflix CEO Ted Sarandos on the future of entertainment. Check out our previous Intrinsic Value breakdowns: Transdigm, Salesforce, Berkshire Hathaway, FICO, PayPal, Uber, Nike, Amazon, Airbnb, Alphabet. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Follow our official social media accounts: X (Twitter) | LinkedIn | Facebook. Browse through all our episodes (complete with transcripts) here. Try Shawn's favorite tool for picking stock winners and managing our portfolios: TIP Finance. Enjoy exclusive perks from our favorite Apps and Services. Learn how to better start, manage, and grow your business with the best business podcasts. References to any third-party products, services, or advertisers do not constitute endorsements, and The Investors Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm
Clay breaks down his best quality stock idea for Q1 2026: Visa. Visa is a global payments network that operates as a toll booth on commerce. Visa is one of the most durable and capital-light business models in the world. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:02:48 - How Visa fits into Dev Kantesaria's investing strategy 00:08:55 - The history of how Visa became the giant, ubiquitous network we all know of today 00:12:21 - Visa's role as an information network that avoids all card issuance and lending risk 00:25:08 - A side-by-side comparison of Visa versus its primary competitors, Mastercard and American Express 00:29:40 - The future of the $200 trillion dollar "New Flows" market and the rise of AI-driven agentic commerce 00:34:41 - An analysis of Visa's pristine financial profile, featuring 60% operating margins and low capital intensity 00:46:54 - A look at valuation level, the primary risks, and much more! Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive TIP Mastermind Community to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Learn how to join us in Omaha for the Berkshire meeting here. The Intrinsic Value Podcast's episode on Visa. Related Episode TIP768: Best Quality Idea Q4 2025. Related Episode TIP745: Best Quality Idea Q3 2025. Follow Clay on X and LinkedIn. Related books mentioned in the podcast. Ad-free episodes on our Premium Feed. NEW TO THE SHOW? Get smarter about valuing businesses in just a few minutes each week through our newsletter, The Intrinsic Value Newsletter. Check out our We Study Billionaires Starter Packs. Follow our official social media accounts: X (Twitter) | LinkedIn | Facebook. Browse through all our episodes here. Try our tool for picking stock winners and managing our portfolios: TIP Finance Tool. Enjoy exclusive perks from our favorite Apps and Services. Learn how to better start, manage, and grow your business with the best business podcasts. SPONSORS Support our free podcast by supporting our sponsors: HardBlock Human Rights Foundation Simple Mining Netsuite Shopify Plus500 Vanta Masterworks Fundrise References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm