Podcasts about gbt

Tell us what you think about this podcast!In this series, Bishop Rader Johnson teaches that the church is the pillar and ground of the truth, based on 1 Timothy 3:15–16. Even when false teaching leads people astray, as seen in 2 Timothy 2, God's foundation still stands. There has always been a faithful remnant who endure and obey.While God knows those who are His, we must prove we belong to Him by overcoming, walking uprightly, and remaining rooted in sound doctrine. In the church, there are vessels of honor and dishonor, and we must choose to be vessels of honor.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In this series, Bishop Rader Johnson teaches that the church is the pillar and ground of the truth, based on 1 Timothy 3:15–16. Even when false teaching leads people astray, as seen in 2 Timothy 2, God's foundation still stands. There has always been a faithful remnant who endure and obey.While God knows those who are His, we must prove we belong to Him by overcoming, walking uprightly, and remaining rooted in sound doctrine. In the church, there are vessels of honor and dishonor, and we must choose to be vessels of honor.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

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

Tell us what you think about this podcast!Bishop Ross Perry Paddock teaches the 6 Principles of the Doctrine of Christ, Resurrection of the Dead. For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!Bishop Ross Perry Paddock teaches the 6 Principles of the Doctrine of Christ, Eternal JudgmentFor more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Wenn AI, Roboter und Automatisierung uns allen bald die Jobs wegnehmen - können wir uns einen Besuch auf der German Beach Tour dann noch leisten? Diese philosophische Fragestellung bringt Alex Walkenhorst in Wallung. Spannend wird es auch, als der bekennende Anhänger des Leistungsprinzips ein bedingungsloses Grundeinkommen ins Spiel bringt. Außerdem erfahren wir mehr über das Innenleben getrennter Beachvolleyball-Paare. Lohnt sich! Werde VOLUNTEER bei der German Beach Tour und den German Beach Championschips: https://docs.google.com/forms/d/e/1FAIpQLSeZNJywQVoU1VBZfYujWfJxgxsJKFCa85YAp7NeDj6zVbdTvA/viewform Tickets für die GBT: https://tickets.germanbeachtour.de/ DEIN JOB BEI SPONTENT: https://spontent.lol/jobs Alex Walkenhorst auf Linked In: https://de.linkedin.com/in/alexander-walkenhorst-bb882419a Alex auf Instagram: https://www.instagram.com/alex_walkenhorst?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw== Kontakt: redaktion(at)spontent.lol Lerne SPONTENT kennen und besuche unsere Website: http://spontent.lol/

As property management faces rapid technological disruption, what happens to the businesses that refuse to adapt… or the ones that go all-in on AI and eliminate the human element entirely?  In this episode of the #DoorGrowShow, Jason and Sarah Hull sit down with Joe Oliveri in Brisbane, Australia to unpack the accelerating AI revolution and what it means for the future of property management. With over 30 years in the industry and 16 years as an international real estate business coach, Joe shares why he believes the next three years will determine which companies survive, and which disappear.  They explore the shift from traditional property manager roles to data-driven client relationship managers, how AI can transform processes like lease renewals, the risks of deepfakes and security threats, and why the winning formula will be a strategic blend of technology and human connection.   You'll Learn (00:00) Introduction to AI in Property Management  (00:40) The Evolution of Property Management  (01:58) The Impact of AI on Property Management  (05:35) Integrating AI with Human Interaction  (10:30) AI's Role in Tenant Management  (14:17) The Need for Verification in AI  (16:30) The Future of AI in Property Management  (21:44) Consequences of Ignoring AI  (25:43) Finding Balance: AI and Human Roles Growth  Quotables "If this industry does not change and truly understand AI, we're going to be irrelevant." "Three years is all we've got to make the changes."  "AI isn't something that they can go back to their office and say, we're going to build this AI. Let the experts do it." Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Jason Hull (00:00) that companies will need to be able to make to keep up and really frankly, survive. It's recording.   We can time up. Shifts in layout. Let's count. All right. You think it's going to work there or should we hold that? Well, we'll probably have to do this. All right. Cool. No introduction. Well, no. Just do it. I'm saying not the full intro that you normally do the way you read the entire thing. Just do a quick. You're not going to have all that when we're going to send it. OK. Do an intro, but you're not going to do the normal intro. All right.   Put those somewhere. Hang them on your shirt or do something. Okay. That's very Brisbane. Well you have to fit in. When in Brisbane, do like Brisbane. Right, so we are... It wasn't pretty. Okay. Five, four, three, two... If you can see the camera, it can see you.   Can you see the camera? can. You don't... can. Okay. Alright, you ready? Five, four, three, two, one. Alright, so I'm Jason Hull. This is Sarah Hull with DoorGrow and we are Hangout with Joe Oliveri. And we're in Brisbane. Brizzy. Brizzy, yeah. And you can't see but we're overlooking the beautiful city and the river right now.   And what is this, a wine room? Yeah, this is our wine cellar. Private wine cellar. Private wine cellar. Okay. And so we're going to be chatting today about AI, the future, and how that's going to impact and affect property management. So, Jill, why don't you give people a little bit of background on yourself and who you are and how you got into property management.   Yeah well that's a long story but I'll make it short. So I've been in the industry for about 30 years now so it makes me feel old when I say that. ⁓ But for the last 16 years I've been a real estate business coach and I've been lucky enough to coach people in Australia and the USA so I get a really good oversight of what's going on in the world. ⁓ But you know my focus for the last 16 years has been   where is this industry going and how can we help businesses to get there and what do need to do? So basically, yeah, for the last 30 years, I've been doing property management and yeah, I think it's exciting where it's heading and through that journey, I met you guys, which is wonderful. So yeah, yeah. Yeah, fantastic. We've been able to have you out at one of our conference events and have you speak and yeah, it's been delightful.   ⁓ I know, I mean, in 30 years, you've seen a lot of changes, but it's speeding up. Like we're in the middle of this AI revolution right now. Everything's changing dramatically. And so what are some of the things that you're noticing? And you have a process software called Thrusos, which we use to run our own operational side of our business. ⁓ What are some of the things that you are right now?   thinking are going to happen and you're trying to figure out. Yeah, well, I'm actually concerned about the future for property management in a positive way. If you can kind of like say that. Because what I'm seeing is we are going through rapid change. I remember when I started in the industry 30 years ago, we were just introducing property management software. Everyone was still using spreadsheets and you know.   paper documents and all sorts of things. ⁓ Carbon copy leases, know, that's how far back we go. And there was major pushback on property management software. And the pushback probably took about five years for the industry to completely transition to understanding you had to use software. Well, we don't have the luxury of five years anymore because my belief is it's changing so rapidly.   And it's the consumer expectations that are going to force change that if this industry does not change and truly understand AI, we're going to be irrelevant. So I believe in three years time, we're going to see completely different roles in the way that we do things. in the next, like leading up to that three years,   I believe that in the first year, we're going to see probably about 40 % of businesses starting to struggle and disappear. They're losing managements, clients are going elsewhere because they're expecting AI and seamless processes and interactions and tasking. And then that will speed up. And by the second year, we'll see 80%.   And then we'll only have a small percentages. I know this seems like doomsday, but it's a reality. Only a small percentage of existing businesses that are around today who will be around in three years time. If they do not adopt AI and AI is very broad. So they've got to understand AI, but you know, that's my belief. That's what I'm seeing as well. So yeah, you know, we've got to sit up and take notice.   Yeah. And I think a lot of the things that I've been noticing, some people kind of shift right away and some people are a little bit more reluctant to shift. Yes. And I think the ones that it's almost you need to find the balance. You don't want to go all in and all AI and you don't want to have no AI. You want to kind of find the right balance and that happy medium and really figure out what is the best way to utilize AI.   and have a human component. Because I do not believe it will be able to be all AI. I just, think when it really comes down to it, it is a relationship business. It's a human to human contact business. really when things go wrong, humans want to talk with other humans who understand. They don't want, have you ever been on the phone and you're going, agent, agent, representative, and it's not.   understanding and you're like, just get me to the human. do I, what button do I need to push? What option is it that I the human? And I think that will continue, that will prevail. However, AI is such a powerful tool that I think we just need to figure out what's the most complimentary way that the humans and the AI can interact together to provide an amazing experience so that the tenants are happy and the clients are happy and the property management business is happy.   really be able to figure out what's the best way to do this. And something that you were telling me yesterday, I went, ⁓ she is so smart for doing that. Can you talk a bit about your, ⁓ tell us first about Flusos and what it is and how it works. And then tell me what you were chatting with me about at dinner last night about what you're going in and updating in Flusos because of all of the advancements in AI that are happening.   Yeah, yeah, so you're 100 % right Sarah, you know, there will always be the human element. It's necessary. We're a service business. So people want the customer relationships. They want that person who lets them know, hey, this is all right. You know, we're going well here. But the role of the property manager has changed. There will always be a role for property managers, but not in the way that we see it today.   And that's where we've got to make that transition. But one of the simplest flows to talk about, when I talk about flows, Flusos is workflows on all of the various tasks that we do. To help people understand how AI integrates with the human side of property management is if we look at a tenancy renewal. So when we're doing that renewal, there's so much that AI can do that takes away that   you know, that personal kind of like input ⁓ into the task as in like if a property manager doesn't like a tenant, then you know, like it becomes personal. ⁓ If they do like the tenant and they've built this relationship with the tenant, where the tenant is making them feel like if the rent goes up, that the tenant will lose the home, the property manager gets too involved personally and emotionally.   So to take away that very personal and emotional element and deal in the facts, if we look at, you know, a tenant renewal, AI has the ability, and this is what we're building into Flusos. So AI has the ability to go through and say, these renewals are due. It will then look at the tenant history to say, you know, how's the tenant pay the rent on time? Let's look at the in-resident inspections that we've done and we can see that the tenants   looking after the property, abiding by the terms and conditions. Everything's going great. We can see in the system where the tenant has, you know, kind of like mentioned that they would like to renew, that their children go to the local school and they want to stay there through the primary. We've got all of this data that's built up. So AI will be able to go in and say, yeah, you know, like this tenant has mentioned they want to stay on. We look at their history. It's all good. We're also going to look at the market.   And the market is determining that we can increase the rent to this much or it stays, it remains as it is. And we should offer a lease term of this length because AI will be able to determine what's going on in that marketplace. There could be infrastructure rebuilds going on, which could push people away from moving there. You know, just because we've got infrastructure being built, there is a building period that turns people off.   So AI can look at all of that and then say, okay, this is what we should offer the tenant. Now, the property manager then looks at that and they can say, well, you know, this owner has this property as a ⁓ full-time ⁓ or permanent investment property, but we need to talk to them and say, hey, as an investment property, this is where we recommend that you, you know, take the property, increase the rent, offer renewal because of this.   ⁓ And then the owner can make a decision. Now AI jumps in, does all the lease renewals, sends off the documents, updates the system. And the property manager's next role is talking to the owner and saying, congratulations, the tenants have signed the renewal. AI has then given them updates on your property is now achieving this in comparison to market. This is what the increase means to you in terms of dollars and percentage.   And we become that voice of, you know, like ⁓ reason and congratulations and service. And the owners look to us for that because all the information that's given to them is not based on personal, ⁓ you know, thoughts on what's going on or emotion. So, yeah.   And it makes it seem either that's the thing. No, I guess not. Oh, I think they're building over there. So maybe it'll be good and yet they're supposed to build a new stadium and that'll bring in. It's really figuring out things that we just don't know what the impact will truly be. And I love that it's kind of like, OK, have the human monitor the AI and have the AI do the heavy lifting.   and then you kind of watch it, make sure it's doing the right thing, and then you get to be the human to human connection. Exactly. Let me be the one who calls the owner, but AI has done all the things for me, so it's kind of prepped it, gotten it ready, wrapped it up in a pretty package that now I can present to the owner, and I get to be almost a bearer of good news instead of the bearer of bad news. Exactly, exactly. And know, owners don't want to hear that you should renew the lease because they're a good tenant.   Well, what constitutes a good tenant? They have to pay their rent on time. They have to look after the property. They have to look after the garden. So they've got to abide by the terms and conditions. It doesn't mean they're a good tenant. So owners don't want to hear that. The owners want to hear that they've abided by the terms and conditions. So we see no reason why they shouldn't be offered a renewal. I think one of the interesting challenges that are   that's going to come with AI is that AI can make anything now. I can take a photo of you, I could use AI to make you say stuff and match your voice. And so the danger with AI is that I think we're gonna get to the point where people will only trust human in-person interactions to begin things or to end things or just, you know. And so there's gonna have to be this human element of verification unless there'll probably be some people that work this out.   like some sort of verification system. You can load it up on your phone and verify that this is a real thing that you're talking to on Zoom or something. you know, that with all the AI slop as they're calling it and all of the fake videos and it's now becoming nobody believes anything. And so it's hard to know, is this really true? Is this actually the property manager that I'm talking to that is, you know,   that I have this property and I'm the owner and you know, are they real? And so, am I giving them access? And so I think there's gonna need to be some sort of verification system in order for people to trust because people will trust, I think it'll get to the point where we'll just trust this. Like I can shake your hand, I can touch you, I you're real.   I mean, we might all be fake on the I you don't know we just took a photo and write the whole podcast and do it and yes But they're really in Ulston That's right. Yeah There's been so much that's happened with deep fakes there've been yeah millions of dollars scammed and Now there's it it's getting so aggressive   that it's recommended that if you are a human that recommends or that interacts regularly with another human, like you and your husband, for example, or you and your children, that you have a a safe word, a password, a verbal safe where if you get a phone call from what looks like and sounds like your daughter saying, mom, I'm stuck on the side of the road, please send me money, I need help, what's the word?   What's the word? And then you know if that word isn't said, that is not my daughter even though it looks like it sounds like it. And I think that's going to be something that we need to kind of incorporate as well and for that reason I agree. I think that in-person, personal relationship will be more important than ever. Yes, I agree with that and this is something that's interesting you bring that up because I always had a safe word with my children. It was given. ⁓   It's something that I think property managers take for granted. They call owners and tenants and talk about all sorts of things without any sort of security check. So, you know, like if we're talking to the banks or, you know, anyone, we get a telecode or we've got to like key in what our personal sort of verification. Exactly.   So I think that's another area, and I'm glad you brought that up because it's another area where industry has to step up. We've got to protect the data that we've got. We've got a lot of sensitive data there. So we've got to really look after that. But there will always be that human element in property management because people want to know that they're making the right decision. People want to chat about it. They want to go through and say, based on that data,   would I be wrong in increasing the rent? It's like, no, a property manager is like, that's what the market is determining. So if the market determines a rental increase, then that's what the market is saying. Holding back rent only impacts every other investor in that market. I think it'll be interesting. So I think moving forward in the future, if we start to leverage AI, but we build our processes around things.   you know, initiated in a way that it starts with a human and that sensitive touch points are done as a human and that we come up with our own verification methods, we're going to avoid some of these traps and our processes will have a longer life span. Yes, yes. You know, we won't have to, man, we have to change everything now with the, all these scammers are doing this one thing where they call up and pretend that they're you, you know.   And so, yeah, because you can go on 11 Labs right now. You can upload your little recording of your voice and then you can have your voice and you can have it say anything. so, yeah, so I think that's going to be a challenge. And I think we're going to have to figure out a way to how do you how do you on a Zoom call with a remote owner that's out of state or out of country verify that each of you are an actual   real physical human being. Somebody needs to invent that device that verifies it's like taking a blood sample. It's like they're human and it's it's like, this is the, this is actually Joe I'm talking to across the pond. So yeah. Okay. Yeah, it is important. And I think the other thing for the industry to understand is that, you know, AI isn't something that they can go back to their office and say, we're going to build this AI.   ⁓ Let the experts do it. Let the experts who understand process and know, Sarah is a real expert on process and to have that level of expertise, it takes a lot of knowledge and a lot of like building and rebuilding and understanding and it's tweaked, you know, for different companies. But you know, like they shouldn't be taking this on themselves. Let the experts do it. And when we talk about, you know, our tech.   We need tech stacks and there is a lot of different technology out there that we've got to build it all in together. Property managers can't do that. A lot of business leaders can't do it either. know, have faith in the experts. That's what I'm saying to the industry is have faith in the experts because, you know, they are doing a lot of work behind the scenes on making sure that AI is not a negative.   impact to the industry is only making our industry sustainable and relevant into the future. mean that's going to be one of the temptations and dangers is that anyone can now go create any software. can load up lovable or any of these other tools and they can say make me a CRM or make me a property management software. But yeah the problem is you then have to become some sort of expert that's constantly communicating, fixing bugs, tweaking it, figuring it out.   And if you can't or something breaks or something gets hacked, then you're at risk. Your whole business is now at risk. And yeah, so I think that, but in the future, everybody will be able to create anything. So I think the people that really thrive and survive and keep a job while AI kind of takes over, I believe will be those that are the artists.   So we're going to shift away from it being about being a nerdy programmer. It's going to be those that have this creative thinking that they can think, how can I combine these tools? How can I connect these? How can we innovate this? And that's been one of the most fun things for me in playing with AI is now I get to be an artist with building systems and building things and creating things. Cause I can create things so quickly. Whereas before I would just think about all the things I wanted to do. And I'd be like, that'd be nice if somebody made that. And I'd be like, that's way too much work.   I don't want to do that. but yeah, it's now you can just create anything and you can edit things quickly. You can have things reviewed. And so there's a lot of things that everybody's probably already using some of the AI tools right now, you know, like chat GPT and maybe Claude and perplexity and some of these things, but there's a lot of, you know, more advanced tools that are coming out that are going to make things even faster.   And now AI is building AI and things are just speeding up.   Jason Hull (22:01) is that we're gonna have a lot of tenants out of work. I think there's gonna be a lot of tenants that are like, hey, I just lost my job to AI. And so we've already replaced some roles and some functions of our team and maybe even a whole team member with some AI tools already. And so that's coming very quickly. And I think Elon Musk just said that   in the next three to five years, the best surgeons in the world will be robots. And those are high paying, high functioning jobs that people put a lot of effort into, but he says they'll be better, more accurate. And so, do you want a really seasoned, older surgeon with maybe, he's human steady level hands, or do you want somebody that has laser precision that gets it right every time that's overseen by that person?   I think the best blend is both. I want the AI laser precision with the human with all of the knowledge and experience to watch it and make sure that it's the right thing. if you did it that way, if a doctor just had a monitor, it eliminates the need for many of them. You now need one doctor to...   multiple AI robots. Because you've got beta. think everything that's going to shift, AI is going to change so many things, which is great. It's still not going to be able to, I mean, how comfortable would you feel? Open heart surgery and that's the AI robot and you go, ⁓ do I want that thing cutting me open? ⁓   What's its track record? What if it glitches? What if it breaks down? Is it going to do the right thing? it know? What is it, you know, is it programmed? What if it dies in the middle of the surgery? Does it have a battery? There's a lot of things to think about. And does it care? Right. is it, what if it that eye robot where it's scanning and going, oh, it has an 11 % chance of survival. I'm done. Well, wait a second. Hold on. Do we, you know, do we keep going? So I think everything is going to come down to a blend.   of AI and human and there's got to be both of those components. So can you maybe chat about, let's chat about kind of both ends of the spectrum here. What might happen to some property management companies that refuse to adopt AI? Where they go, I'm just not doing it. I'm not using AI. I'm staying old school. We don't want to learn anything. We don't want to do anything else. might you be a, what would you think the prediction would be on companies that just will not?   Yes. Use it. That's a really good question because we kind of saw that with what happened with these old school companies ⁓ where they refused to have anything but the property management program, you know, where you store your data. ⁓ And they eventually were out of business. I mean, I'd go into these offices and they just have   files everywhere, files covering the desk, they didn't know where anything was. But they refused to, you know, ⁓ use anything else than go to that paper file. And it was a mess. mean, how do you find paper? ⁓ So we saw those businesses gradually get out of business. They didn't have a business to sell, basically. So they might have been mighty in their day, but they were no longer mighty when technology just   over. Now that took a long time to happen in the past. It's going to be more rapid now. So those businesses that refuse to adapt or adopt AI or understand it because a lot of them think we've got AI. It's like you don't have AI. GPD does not help you to manage process better. So if they don't then   We're seeing it already Sarah and Jason. We're seeing that these companies that used to manage 500 or more managements are down to half of that and I'm selling one at the moment where they had 600 and we're just on the final figures today. They're down to 342. That's a lot of money that they've lost because they refuse to adapt new methods and they let the property managers determine   what technology they would use. Because what happens if we allow staff to determine what technology we will use, then the staff just create or justify a reason for their position. We can't do that anymore. We've got to identify the task that a property manager does. And there's much less than what, you know, they did in the past. A property manager is basically just a client relationship manager now.   They're reviewing data and interpreting that data to have conversations with the clients. And that's the way we've got to do it. And the other thing is, investors are changing too. So we're getting a lot of institutional investors. So institutional investors don't want to deal with, you know, mother head and type, you know, like, ⁓ the tenants are lovely and you know, you don't want to lose them and...   you probably can't afford to do the maintenance and things like that. Institutional investors just want the facts so they can make a decision and quite often they don't want to make a decision they want the property manager to do what's needed. And AI will determine the necessary steps so the property manager becomes that person this has been done or they can look online through their portal. in   I'm like, that's a long answer to your question. But you know, like I believe hand on heart and don't want to seem like I'm doing so sorry, I'm hitting the mic. that three years time is three years is all we've got to make the changes and to identify the tasks the property manager does. Because it's not the same anymore. I agree. And I think it's about shifting that shifting. It's about making that shift.   And then conversely, let's talk about the other end of the spectrum because, okay, if you go, you know what, I'm sold, I'm doing everything AI. I'm firing my entire team, I'm letting AI do everything and we've seen some companies try to do this before, but now there's a lot of changes and AI can do a lot of things that before was not possible. So what would you say to the companies that are gonna go all in and they're gonna do all AI? Is that the solution?   No, it's a happy blend of technology and team. So if you don't have the team there, property management is a service industry. So we have to remember that, you know, and our service is helping the clients to feel confident about decisions that they're making or instructions that they're giving. ⁓ So it is definitely a blend of ⁓ technology and team.   but the team's role has changed. please don't think you can go in there and chat GBT is going to, you know, create all the conversations and, and, know, they're going to answer the phone and, and, you know, talk to the client and record it all. No, there needs to be human element. But again, I'll go back to it's the experts that will help you create that because it's very, very difficult to understand how to blend that technology and team. ⁓   without the kind of like the team having their say in it too. A lot of business owners let the team say too much and they make decisions based on team. We've seen that, or they take a vote. A vote, yes. My team, I hear that from our clients, and they go, well my team voted and what? Your team voted? No, no, no, no. that's good. They don't ever vote. Like, yeah, you know, eliminate my job. I'll vote yes for that. Yeah, yeah. No, no.   Yeah, the challenge with team members is that they are not usually money driven the way entrepreneurs are. They're not focused on the money side of the business and they're focused on safety and security. And as AI comes, that's going to take a lot of that away. And so yeah, you don't want to have your team vote. This is, it's not like a   It's not democracy. No, this is business. I believe in democratic principles, it's the business. But yeah, you can't place the burden of decision making on people that are wired to make decisions in a way that's not conducive. Yeah, it's all about them. And, you know, like it's important to understand how the team is thinking so that you can then help them adjust to it or no.   that person's not going to come through with me. So you can make the decisions. no, know, team will always justify why they are needed in a business. Yeah. mean, the day may come with all the AI stuff and humans really, we tend to like each other. We like humans a bit. You know, we'll probably have labels on our business made with real humans. Real humans at our business and a real human answers the phone. No AI. You know, I mean, it might happen. So that could be interesting. So.   One of the things that I also though, am thinking and maybe I'm a bit of a conspiracy theorist or a little crazy, I don't know. But ⁓ when Trump went into Venezuela and extradited or took out that dictator that had taken over the government there and was causing a lot of problems, the people were very happy. But what was really interesting, what was unsaid or I didn't hear people talk about it much is the US government.   Military whatever went in had the ability they turned off all the power to the entire city There were not even backups were working everything went out and went black. Mm-hmm and That's wild to think that we have the ability to just wipe out power and electricity I don't know if it was an EMP thing or Some people say solar flares can do this and maybe the government can do this kind of stuff. Who knows but the fact that technological   data, power, electricity, all that can just shut off in an instant. How would we deal with that in a world where everything has become digital and everything has become AI? Will we have backups? Will we have keys? Will we be able to find things? ⁓ Will we know stuff? there's, think there, I mean, if that happens one time, it will be like change everything forever. Just like the pandemic changed everybody's perception forever about.  

Von den Malediven ins Alpenpanorama: SPONTENT-CEO Alex Walkenhorst hat selber schon ein schlechtes Gewissen, weil er zuletzt (zumindest nach Außen) nur noch Urlaub macht. Wird er dadurch für seine Angestellten zu einem schlechten Vorbild? Außerdem: Berufsaussichten für Studierende, ein Update zur Office-Situation und warum "Flying Hirsch" wahrscheinlich krisensicherer als Bitcoins ist - alles mir drin in der neuen Podcastfolge. Der Chef verweilt auf den Malediven, genießt die aktiven Flitterwochen unter Milliardären und gönnt sich einen Sonnenbrand. Das perfekte Setting, um über die finalen Standorte der German Beach Tour zu sprechen, den eigenen Wohlstand zu relativieren und kurz zur Handball-EM zu schauen. Am Ende verrät Alex auch noch, wohin die Reise als nächstes geht. DEIN JOB BEI SPONTENT: https://spontent.lol/jobs Tickets für die GBT: https://tickets.germanbeachtour.de/ Alex Walkenhorst auf Linked In: https://de.linkedin.com/in/alexander-walkenhorst-bb882419a Alex auf Instagram: https://www.instagram.com/alex_walkenhorst?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw== Kontakt: redaktion(at)spontent.lol Lerne SPONTENT kennen und besuche unsere Website: http://spontent.lol/

Tell us what you think about this podcast!Bishop Ross Perry Paddock teaches the 6 Principles of the Doctrine of Christ, Faith Toward God. For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!Bishop Ross Perry Paddock teaches the 6 Principles of the Doctrine of Christ, Laying On of Hands. For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!Bishop Ross Perry Paddock teaches the 6 Principles of the Doctrine of Christ, Doctrine of Baptisms.  For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!Bishop Ross Perry Paddock teaches the 6 Principles of the Doctrine of Christ, Repentance from Dead Works. For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In this episode, Bishop Rader Johnson teaches on the true purpose and heart behind fasting. Fasting is not just abstaining from food. It is voluntary fellowship with God, a deliberate choice to humble ourselves and draw closer to Him. True fasting draws us closer to Christ, often through suffering, where our fellowship with Him becomes deeper than at any other time.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Der Chef verweilt auf den Malediven, genießt die aktiven Flitterwochen unter Milliardären und gönnt sich einen Sonnenbrand. Das perfekte Setting, um über die finalen Standorte der German Beach Tour zu sprechen, den eigenen Wohlstand zu relativieren und kurz zur Handball-EM zu schauen. Am Ende verrät Alex auch noch, wohin die Reise als nächstes geht. Tickets für die GBT: https://tickets.germanbeachtour.de/ DEIN JOB BEI SPONTENT: https://spontent.lol/jobs Alex Walkenhorst auf Linked In: https://de.linkedin.com/in/alexander-walkenhorst-bb882419a Alex auf Instagram: https://www.instagram.com/alex_walkenhorst?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw== Kontakt: redaktion(at)spontent.lol Lerne SPONTENT kennen und besuche unsere Website: http://spontent.lol/

Tell us what you think about this podcast!In this episode, Bishop Rader Johnson teaches on the true purpose and heart behind fasting. Fasting is not just abstaining from food. It is voluntary fellowship with God, a deliberate choice to humble ourselves and draw closer to Him. True fasting draws us closer to Christ, often through suffering, where our fellowship with Him becomes deeper than at any other time.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In this episode, Bishop Rader Johnson teaches on the true purpose and heart behind fasting. Fasting is not just abstaining from food. It is voluntary fellowship with God, a deliberate choice to humble ourselves and draw closer to Him. True fasting draws us closer to Christ, often through suffering, where our fellowship with Him becomes deeper than at any other time.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

The Wealth Formula Podcast is one of the longest-running personal finance podcasts still standing. For more than a decade, I've shown up every single week to talk about investing, markets, and the forces shaping the economy. What's interesting is how much my own thinking has evolved over that time. Early on, I was more rigid. I was—and still am—a real estate guy. But back then, I didn't give much thought to ideas outside that lane. I was dogmatic, and I didn't always challenge my own beliefs. Time has a way of doing that for you. I've now lived through multiple market cycles. I've watched the stock market melt up to valuations that felt absurd—and then keep going. I've seen gold go from flat for a decade to parabolic over a year. I've seen interest rates sit near zero for a decade and then snap higher at the fastest pace in modern history. And I've learned, sometimes the hard way, that diversification is about survival and that every asset class has its day. One lesson I learned that I am thinking a lot about these days is: ignore major technological shifts at your own peril. Back in 2014, I first started hearing people talk seriously about Bitcoin. At the time, I dismissed it. I listened to the critics, was convinced it was a scam, and didn't take the time to truly understand it. That was a mistake—not because everyone should have bought Bitcoin, but because I ignored a structural change happening right in front of me. Bitcoin went from a cypherpunk expression of freedom to the largest ETF owned by BlackRock. Today, the dominant story is artificial intelligence. And whether you love stocks, hate stocks, prefer real estate, or focus exclusively on cash flow, you cannot afford to ignore AI. This isn't a fad. It's a general-purpose technology—on the scale of electricity, the internet, or the industrial revolution itself. That doesn't mean it's easy to invest in. It's hard to look at headline names trading at massive valuations and feel good about buying them today. But investing in AI isn't about chasing a single company. It's about understanding second- and third-order effects: energy demand, data centers, productivity gains, labor displacement, capital flows, and how blockchain and decentralized systems intersect with all of it. What experience has taught me is this: you don't need to be first to invest—but you do need to be early in understanding. If you wait until something feels obvious, most of the opportunity is already gone. This week's episode of the Wealth Formula Podcast is focused squarely on AI and blockchain—what's real, what's noise, and where the long-term implications may lie. Listen to this episode. You'll come away smarter. And years from now, you may look back and realize this was one of those moments where paying attention really mattered. Transcript Disclaimer: This transcript was generated by AI and may not be 100% accurate. If you notice any errors or corrections, please email us at phil@wealthformula.com.  Welcome everybody. This is Buck Joffrey with the Wealth Formula Podcast. Coming to you from Montecito, California. Today we wanna start with a reminder. We are in a new year and we are already doing deals, uh, through the Wealth Formula Accredit Investor Club. You can go and sign up for that for free. Uh, wealth formula.com just hit investor club and you just get on there and, and you’ll get onboarded. And from there, all you gotta do is wait for deal flow and webinars coming to your inbox. And, um, you know, if nothing else, you learn something. So go check it out. Uh, go to. Wealth formula.com and sign up for Investor Club now onto today’s show. Uh, the, it is interesting. I don’t know if you are aware it’s a listener, but we are, wealth Formula is, uh, probably I would say one of the, certainly in the one of the top longest running personal finance podcasts still. Standing. Uh, I’ve been around, well, I think the first episode was on like 2014, so it was a long time, but in earnest, you know, at least for over a decade. And, you know, during that time, I’ve shown up every week, every single week. Don’t Ms. Weeks, but none, none. Isn’t that incredible? I’ve shown up, uh, talked about investing and talked about very way markets are working, forces, shaping the economy, all that kind of stuff. But you know, as you can imagine, as a. As a younger individual versus, um, my crusty self. Now, you know, a lot of my own thinking has evolved over that time, you know, back then. And I, you know, I think this appealed to some people, but, um, you know, I was really dogmatic. I’m a real estate guy, right? And I still am a real estate guy, but back then I wouldn’t give anything else the time of day to even think about, you know, and, and, uh, I, I, you know. I was dogmatic and didn’t always challenge my own belief systems. Um, I’m different now, right? I’ve softened And time is a way of, of changing all of that dogmatic stuff for you. You know, I’ve lived through multiple market cycles. I’ve watched, well, I’ve watched the stock market, which I, which I always maligned, you know, melt up to valuations. Uh, that felt absurd. And then keep going higher. I’ve seen gold, which was kind of ridiculous for the longest time. I watched it for like a decade, just pretty much flat, and then it goes parabolic. Over the last year, I’ve seen interest rates sit near zero for a decade and then snap higher. Uh, not even as time, just launch higher at the fastest space in modern history. And I’ve learned sometimes I guess, the hard way that diversification is about survival and that every class, every asset class has its day. Just like every dog has its day. And um, you know, one other lesson that I learned that I’m thinking a lot about these days is ignore major technological shifts at your own peril. So what am I talking about? Well. It’s kind of a, it is a technological shift, whether you think it about not, but Bitcoin. Okay. Back in 2014, I first started hearing people talk seriously about Bitcoin, and at that time I dismissed it. I was, uh, I was listening to critics beater Schiff that constantly called it a scam, said it was going to zero and so on. I didn’t, I didn’t take the time to truly understand it, to try to understand it the way I understand it now, that makes me a believer in Bitcoin. That, of course was a big mistake, not because, you know, everyone should have bought Bitcoin and, uh, back then, well, they, you know, would’ve been nice if they did, but because fundamentally I ignored something that was a structural change happening right in front of me. And since then, Bitcoin went from a cipher punk expression of freedom to the large CTF owned by BlackRock today. The dominant story is actually artificial intelligence. Now, whether you love stocks, hate stocks, prefer real estate focused exclusively on cab, whatever, you cannot afford to ignore ai. It’s not a fad. It’s a general purpose technology and a technology shift, and the scale of electricity. The internet bigger than the internet, bigger than the industrial revolution. Now, that doesn’t mean it’s easy to invest in. I mean, I’m gonna go invest in AI and make a bunch of money because I mean, what does that even mean? It’s hard to look at headline names, trading at massive valuations like Nvidia and all that right now, and saying, oh, I’m gonna go buy that. Who knows? That’s gonna work out. When I talk about investing in AI isn’t really just investing in stocks or any individual company or data centers or whatever. It’s about understanding. The second and third order effects, energy demand. You know, as I mentioned, data centers, productivity gains, labor displacement, capital flows, and how blockchain and decentralized systems intersect with all of that. It is very, very complicated. Um, but it’s really important to start to try to understand, you know, an experience that stop me is this. You don’t need to be the first to invest, but you do need to be early in understanding. If you wait until something feels obvious, usually the opportunity’s gone by then. And you know, the thing about AI is even if you think it’s obvious now. The reality is that most people haven’t really caught on. Maybe they played with chat GPT, but I don’t think they’re understanding what this whole, you know, this thing is gonna do to our world. Um, anyway, so that is what this week’s episode of Wealth Formula Podcast, uh, is about. It’s about AI and also, um, a little bit about, you know, bitcoin and blockchain and that kind of thing. Um, we’re gonna talk about what’s noise, uh, you know, where the long, what the long-term, uh, implications are all of this stuff. This is a show that, uh, I really enjoy doing really, really good stuff. Um, so make sure you listen in. We’ll have that interview for you right after these messages. Wealth Formula banking is an ingenious concept powered by whole life insurance, but instead of acting just as a safety net. The strategy supercharges your investments. First, you create a personal financial reservoir that grows at a compounding interest rate much higher than any bank savings account. As your money accumulates, you borrow from your own bank to invest in other cash flowing investments. Here’s the key. Even though you borrowed money at a simple interest rate, your insurance company keeps paying you compound interest. On that money, even though you’ve borrowed it, that result, you make money in two places at the same time. That’s why your investments get supercharged. This isn’t a new technique. It’s a refined strategy used by some of the wealthiest families in history, and it uses century old rock solid insurance companies as its backbone. Turbocharge your investments. Visit Wealth formula banking.com. Again, that’s wealth formula banking.com. Welcome back to the show, everyone. Today. My guest on Wealth Formula podcast is Jim Thorne, chief Market strategist at Wellington. L is private wealth with more than 25 years of experience in capital markets. He’s previously served as chief capital market strategist, senior portfolio manager, chief economist, and CIO. Uh, equities at major investment firms and has also taught economics and finance at the university level. Uh, Jim is known for translating complex economic, political, and market dynamics into clear actionable insights to help investors and advisors navigate long-term capital decisions. Uh, Jim, welcome with the program. Thanks for having me Buck. Well, um, Tim, I, I, I, uh, had been following a little bit of, uh, what you discuss on, uh, on X and, um, one of the things that caught my eye is, you know, your, your narrative on, on ai, a lot of people are tend to be still sort of skeptical of AI and what’s going on, uh, with the markets. Um, uh, but at the same time, uh, there’s this. Sense. I think that ignoring AI altogether as an investor is, is, is downright potentially dangerous. So, uh, at the highest level, why is AI something people simply can’t dismiss? Well, we live in an, uh, uh, you know, many other people have coined this term, but we live, we’re living in an exponential age of, of technological innovation. And, you know, AI and I’ll just add into their, uh, blockchain is just the normal evolutionary process that, you know, for me started when I left graduate school and came into the business in the nineties where everybody had this high degree of skepticism of the computer and the, the, the phone, the, the. And the internet. And so, you know, what we do is we go through these cycles and there are periods of time where the stars align. And we have a period of time where we have what I would call an intense period of innovation where I would suggest to you that. People are skeptical. Skeptical, and yet at the same point in time, they very early on in the, in the, in the trade, call it a bubble when it’s not. And so I think it comes from the position of ignorance. One, I think two, fear, and then three. If you think about if you are an active manager, I in a 40 ACT fund, um, you know, and you’re sitting there with, uh, you know, mi. Uh, Nvidia at, you know, eight or 9% of your index. And that’s a big chunk that you’ve gotta put into your fund, uh, just to be market neutral. So there’s a lot of people that hate this rally. There’s a lot of people that are can, going to continue to hate this rally. But the thing I anchor my hat on are a couple of things. Look at if this is no different than the railroad. Canals, any major technological innovation, will it become a bubble? Yes. Just not now. So, so let’s follow up on that, because a lot of people think, or are talking about the, do you know the.com bubble, uh, comparisons, and you’ve argued that that sort of misses the real story. So, so where are we getting it wrong right now? Are those people getting it wrong? In the nineties buck, you’d walk into a bar and there wouldn’t be ESPN on there’d be CNBC on people were getting their jobs to become day traders. Folks didn’t go to the go to university because they were basically getting their white papers financed. You had companies that were trading off of clicks. So I lived that. Anybody who is of a younger generation has no idea what a bubble is, and it’s specious and pedantic for them to use that term when they have no clue about what they’re talking about. But you did mention that it could become a bubble. How do we know when it does become a bubble? Oh, it’ll become a bubble. Well, when, when, when you know, the, what, what I am looking for is, you know, when we, when the good investment opportunities start to dry up, when liquidity starts to dry up. So what I, it’s not about valuation, to me it’s about liquidity. So in 2000, what, and I’m roughly speaking, what went down was you had all these companies that were trading at Strat catastrophic valuation, this stupid valuations, and you walked in one day and they didn’t get financing. And if you read the prospectus or you followed the company, you knew that they were not going to be free cash flow positive for another two or three rounds of financing. All of a sudden you walked in and everybody goes, oh my God, this thing, you know, trading at 250 times sales. And everybody went, yeah, of course. And so what it was is, was when does liquidity dry up? So I’ll give you a date, um, you know, with Trump’s big beautiful bill act. 100% tax deductibility of CapEx and that goes until Jan 1, 20 31. So to me, that’s a very motivating factor for people to, um, invest. The last thing I would say to you in more of a game theoretic context book is, look, if you are a big tech company and you don’t invest in ai. You are ensuring your death. Yahoo, Hela Packard. I can go through the list of companies that cease to invest, so they’re looking. If it was you and I when we were running this company, I would say, dude, we gotta invest because if we don’t have a poll position in this next platform, whatever it is, we’re done. We’re toast. And I think that’s why you’re seeing all these hyperscalers spending as much money as they are. ’cause they get this, they saw it. So, you know, you framed ai not necessarily as a a tech trade, but as a capital expenditure cycle. Can you explain that to people? Well, what we need to do is we need to build out the infrastructure of ai. Then, and that’s the phase that we’re in right now. So it’s more like we’re building out all of the railroads, the railway tracks and the railway stations across the United States back in the 18 hundreds. And then we’re gonna go through that building phase. And then as that building phase goes, some companies, some towns, are going to basically realize and recognize what’s happening and start to basically take ai. Bring it into their business model, into enhanced margins. Right. So right now we’re building it out. I mean, you know, we all focus on the hyperscalers, but the majority of companies, pardon me, governments. Individuals, they haven’t used AI and, and what is interesting about this is back in the nineties, they were talking about how the internet had to evolve to be much more. You know, uh, have critical thinking in, in, in it. And it was more explained when you went to these conferences, as you know, you know, think about this. You’re hearing this in 99, okay? Not today. You go in and you ask Google or dog pile at the same time, or excite, okay? You would say, I wanna go to Florida in the third week of March and I wanna stay here and I wanna spend this amount of money and I wanna rent a car. Plan it for me. And they would come back and they would tell you that it would come back and it would, it would, everything would be there. And you would have your over here and all you would have to do is drop your money and you had your thing planned. So none of this is as, it’s aspirational, but we’ve heard it before. And in technology, what happens is it’s not like it’s new. We’ve been talking to, I did machine learning in in graduate school. Ai, you know, I did neural networks and I’m a terrible Ian. This isn’t, you know, Claude Shannon wrote about this in 1937, right? But it’s about when does it hit, and so it was chat GBT. Can we argue, was that right? As an investor, it’s stop arguing, start investing. Then what you’ve gotta figure out, which is the question you ask, is when does the music stop? I think it goes until the end of the decade. You know, one of the things that, uh, is interesting about this, uh, AI investment, uh, it’s, it’s unfolding in a higher interest rate environment. Why is that detail so important? Understanding its significance? Well, it’s the cost of capital, right? And so this phase that we have right now. It’s funny you say that, right? ’cause our reference point is zero interest rates, right? Yeah, yeah. Right. That’s right. So, you know, you know, so, so think about this, what it happens right now. Now we’re in the phase where you’ve got these hyperscalers that instead of taking all their free cash flow and buying bonds and buying back stock, are increasing CapEx because there’s a great tax deduction on it. So you get a lot of, so we’re in this phase where, for where, where a lot of the money is, you know, was. Was, let me, let me be clear, was a hundred free cashflow. Now we’re getting these guys, these companies like Oracle and what have you, you know, starting to issue debt and look at debt isn’t bad as long as the rate of return on debt is higher than the interest rates. And so, you know, you know, I, I would say historically speaking, for a lot of these high quality names, the interest rates are not, uh, at levels that will stop them from investing. Right. Right. You know, you’ve written that, um, productivity is ultimately the real story behind ai. So why does productivity matter more than the technology headlines themselves? Well, let me just put it this way, right? So we’ve grown, I grew up, I, I joined, I’m up here in Toronto, right? So I’m gonna give it to you in Canadian dollars, right? So I joined, I joined here. You know, I grew up here, went to the states, came back home. Growing this company I joined when we’re about three and a half billion. We’re getting close to 50 billion, and we’re the fastest growing independent platform in the country. I’m a one man band, right? I use three ai. In the old days, I’d have four research assistants. Where’s the margin in that? And so I, that’s how I see it. And let me be clear, it’s, you know, this isn’t we’re, it’s not perfect. But if I wanted to say, instead of you, but hey, write me a 2000 word essay on the counterfactual of what happened with railroads up until 1894 when the, when the bubble popped, give me a f, you know, a a thousand word essay and, and just a general overview. I can get that in less than five minutes. Michael Sailor is writing product on ai, which, which, which you would take, which you would take. He’s in his presentation, say it would take a hundred lawyers. So it’s gonna be more about those. And it’s, it’s no different than Internet of things or, you know, it was, uh, Kasparov that talked about this. Gary Kasparov talking about the melding of, of technology in humans. He would ran, run this chess tournament called freestyle. You could use a computer, you could use, you know, grand Masters. You could use whatever you wanted to compete. And who won? Well, who won it Was that those teams that were generalists that had a little bit of that, the knowledge of the computer and the knowledge of the test. Uh, o of chess, right? That’s what’s gonna happen. So this isn’t we’re, as far as I’m concerned, we’re not, yes, there’s going to be some d some jobs that are going to be replaced, but that is always the case in technology. I’m not a Luddite, okay? I am not Luddite. But the same point in time. I, I would suggest to you that it, it is just a really, for me, it’s a, helps me. Do research no different than when I was an undergrad and they went from cue cards in the, the library at the university to actually having a dummy terminal and I could ask questions in queue. You know, it stalked me from having to go to the basement of the library and going to microfiche. Right. Have helping that way. Now can it, can, will it do other things? I’m sure it is, and I’ll lead that to Elon Musk and the crew. You know, that’s above my pay grade. But for me, I see it as a very helpful way of, you know, allowing me to process and delineate. Much more information a a and not have me waste so much time trying to figure out what got went on in the past or, you know, QMF. Right. You know, summarize me the talk five, you know, academic papers in this area, what are they saying? And then they gimme the papers. Right. It just speeds the process up. Yeah. You know, um, one of the things that I’ve been sort of talking about and thinking about. Is that it’s hard to not see AI as a very, very strong deflationary force. Um, how do you think about that? Yeah. Technology is deflationary, right? Doubt about it. And so I look at it this way, Ray. Um, so I work at the financial services industry, okay. You know, Mr. Diamond of JP Morgan is talking about how they are starting to embrace blockchain and ai. They are going to cut out the back end of that in the, the margins in that, in that company by the end of the cycle are going to be fantastic. People just do not get in. You know, the financial services industry is built on a platform. Of the 1960s, dude. I mean, they’re still running Fortran, cobalt. So you know what I, how I look at this is much more as a margin type story, and there’s going to be a lot of displacement. But at the same point in time, I look at Tesla and automation and ai. And you know, people look at Tesla as a car company. I look at Tesla as an advanced manufacturing company. Elon Musk could basically go into any industry and disrupt it if it wanted to. Right. So that’s how I look at it. And so, you know, the hard part is going to be, you know. Nothing. If we get back to where we were, it’s not going to be perfect, right? Because here’s, here’s where the counter is, here’s where the counter is. Right? If you, if, if you think about, and we’re, I’m gonna take Trump outta the equation and ent outta the equation right now, but if we just went back to the way things were before COVID, we would have strong deflationary forces. Okay. Just with demographics, just with excessive levels of debt. Just with, you know, pushing on a string in terms of, in terms we couldn’t get the growth up, you know, and, you know, and the overregulation of financial institutions. Trump and descent are basically applying what’s called supply side economics, and they’re deregulating. It’s says law, which is John Batiste, that says basically supply creates his own demand and it’s non-inflationary. But really what they’re going to try to do is they’re going to try to run the economy hot and they’re gonna try to pull this way out of the debt. And if you do that and you deregulate the banks. And allow the banks to get back to where they were before the financial crisis. Okay. You know, and, and the Fed takes its interest rates down to neutral, expands the balance sheet. Then I don’t think we’re gonna go back to the zero bound in deflation. I think this thing’s gonna run hot for a long time. And I think it, the real question is, is, is is 2 75 in the United States the neutral rate? I think it is. Uh, but as, as, as Scott be says, and, and, and, and, and let’s be clear, buck, the guy’s a superstar. Okay. Guy is a legend. Just you sit there, just shut up and listen to him. Okay. They keep up, right? Well, so they’re gonna run it hot, but where we are is, in his words, mine, not mine. We’re still in this detox period, you know what I mean? We still got the Biden era. We still got, you know, a over a decade of excessive ca of Central Bank intermediation. That needs to get, you know, go away. So what I say, and what I’ve been writing about is 26 is going to be the year that the baton is passed back to the private sector. Let’s get rates down to 2 75. That’s, I mean, I’m going off the New York Fed model. That says real fed funds, the real, the real neutral rate is 75 to 78 basis points. I think inflation’s at two. That that gets you 2 75. Get the rates there and then get the balance sheet of the Fed to the level so that overnight lending isn’t loose or tight. It’s just normal. And then step back, go away and let Wall Street and the private sector create credit. Create economic growth and let’s get back to the business cycle. And if we do that, we’re gonna have non-inflationary growth. It’s gonna be strong, but we’re not going back to the zero bound and we’re gonna grow our way out of this. And so that’s where I get really excited about. This is a very unique time in history. A very, very, very unique time in history where, and I don’t know how long it’s going to last because of the compression that we have now because of the, you know, we live in such a digital world, but let’s say it’s five years demographic says it’s to 33, 32 to 33. That’s, you know, that’s how long this run is. And, and to me, uh, AI is a massive play. I, I, to me, blockchain is a massive play and to me it’s to those countries and companies that get it is, whereas investors, we wanna think, start thinking about investing. Yeah. You mentioned, um, non non-inflationary growth. Can you drill down on that a little bit just so people understand a little bit where. Usually you think of an economy running super hot, you, you think automatically there’s an, you know, an inflationary growth. So I want you to think in your mind into your list as think in your mind. Go back to economics 1 0 1 with the demand curve. In the supply curve, okay? And there are an equilibrium. And at that equilibrium we have a price at an equilibrium, and we have an output as an equilibrium. Okay? Now what I want you to do is I want you to keep the demand curves stagnant or, or, or anchored. Then I want you to shift the supply curve out. Prices go down, output goes out. We can talk all this esoteric stuff, you know, you know Ronald Reagan and, and Robert Mandel and supply side economics. But it’s really your shift in the supply curve out, and that’s what, and that’s what BeIN’s doing. I mean, this is a w would just sit down and be quiet. He’s talking about, you know, what is deregulation? He’s pushing the supply provider. Oh, hold on. My phone. My, my thing. And what did, since the two thousands, what did, what was the policy? It was kingian, it was all focused on the demand curve. Everything was focused on demand. And so all we’re doing is we’re, we’re getting the keynesians out. I use 2000 ’cause that’s when Ben Bernanke really came in and was very influential. Let me just say he’s a very smart, I learned so much from reading. Smart, smart, smart, smart guy. But his whole thing was Kasan. He came from MIT, his thesis supervisor was Stanley Fisher, right? We’re going back to, you know, Mario Dragons thesis supervisors, Stanley Fisher, all these guys came from MIT, Larry, M-I-T-M-I-T, Yale, and Princeton. Whereas previously it was the University of Chicago. It was Milton Friedman. It was, it was supply side economics. We’re going back, they’re going back to supply side economics and right now we need it. We need balance. But my god, what did we end off with? We ended off with four years of mono modern monetary theory. Deficits matter. That’s insanity. You had mentioned a little bit, uh, you, you’ve talked about blockchain a few times here. Talk about the significance. I mean, it’s sort of, you know, blockchain was a thing that everybody was, everybody was talking about it, you know, three, four years ago, but now it’s all about ai. But you know, now you’ve got, um, but in, but in the background, blockchain has grown, uh, adoption has grown. Uh, tell us what’s going on there, and if you could tie it into the significance of, of where we’re at today. Yeah. Um, uh, Jeff Bezos gave a wonderful speech, I think in two thou, early two thousands, where he basically talked about the fact that, you know, once this innovation is led out of the genie’s, led out of the bottle, whether or not, you know, buck and Jim, like it as an investment, the innovation continues. And so after the internet bubble pop, right? Really smart guys like Jeff Bezos, uh, Zuckerberg, you, you, the whole cast of characters, right? Basically built it out. Okay. And it wasn’t perfect and everybody knew it wasn’t perfect. I mean, that was the whole thing that was so bizarre. But they knew it wasn’t perfect and they knew that they needed to solve some problems. Right. And you know, it was a double spend problem. I mean, the internet that we were dealing with right now was developed in the 1950s and so on and so forth. And so, you know, that always stuck with me. Right. A couple of things stuck with me because I’ve lived through a couple of these cycles. The first one is Buck. When the, when Wall Street coalesces around something just shut up and buy it, right? I mean, I, I spent too much of my life arguing about whether dog pile and Ask Gees was better than Google. Wall Street said Google was the best. Shut up. Invest, right? And so, so look, blockchain solved the double spend problem. Blockchain solved all the problems that the original iteration of the internet could solve, and everybody knew it was coming along okay. So it’s a decentral, it’s decentralized, right? Uh, does, does not need to be reconciled. So no. Not only do you have another iteration of the internet. You have basically introduced into society the biggest innovation in accounting or recordkeeping since double entry. Bookkeeping accounting was introduced in Florence, Italy centuries ago by the Medicis and, and buck. All this is out there like, so this is a profound, right? So think about you’re in an accounting department and you don’t have to reconcile, right? So look. The first use cakes was Bitcoin. And what was the, what was the beautiful thing about it? Well, first off, it grew up by itself. And secondly, it’s got perfect scarcity, right? And so let’s just full stop. And I mean, yes, gold and silver had the run that they should have had decades. So I had been waiting and listening to people, gold bugs, talking about this type of run since the nineties. Okay. Um, but look, you know, and the problem with fi money, right? I mean, this is, this goes back decades. It’s an old argument. The way you solve it is, is Bitcoin. That’s the solution. I mean, forget about it. I mean, if they’re gonna whip it around and do all this stuff, fine. But the other thing that people miss and Sailor hasn’t, and Sailor is brilliant, is look. Bitcoin is pristine collateral in 2008, in September. What caused the, the system to stop was the counter. We could not identify counterparty risk for near cash. It was a settlement problem. Anybody you talk to Buck that says it was, you know, the subprime this and it, yeah, that was crap. I get that. But when the system shut down is you had a $750 million near cash instrument with X, Y, Z, wall Street firm, and you did this for three extra beeps and it was no longer cash. Guess. And guess what? Your institutional money market fund broke the buck. That’s when the system blew sky high. When the money market broke the buck and it was a settlement problem, blockchain and Bitcoin solved that. Sailor knows that, look where Wall Street’s gonna go. They understand now that. Bitcoin is pristine, collateral and capital that is 100% transparent. Let’s lend against it, and that’s what Sadler’s doing. That’s why Wall Street hates the guy so much, right? Think about that. Think of where is he going after he’s going after all the stranded capital on Wall Street. And, and the whole point is he’s sitting there going, I’m too busy for this. And you’ve got all these other people that are gonna live off of other people’s ignorance. Meanwhile, Jing Diamond knows exactly what he’s talking about. We can identify, if I hear one more person on me in, in the meeting say, I don’t know. You know, you know, uh, micro strategies balance sheet is so complicated. Really. Compared to JP Morgans, I mean, you know what his capital is. It says Bitcoin, like, what are you guys talking about? But hey, fucking in this business, people make generational wealth on ignorance of people who think they know what they don’t know. So, you know, just going back to Jamie Diamond, you know, he spent, I don’t know how long. Throwing every insult, uh, he could towards Bitcoin. And now they’ve really kind of, they haven’t backtracked. I think he’s, he’s, you know, his, his, um, I think the way he phrases is the blockchain’s a real thing. He never seems to really say the word Bitcoin, uh, in this regard. Um, banks in general, where do you think they’re headed with this stuff? I mean, I, you know, right now, again, you can kind of see even. Um, I think, you know, some of the big advisory firms suddenly recommending one to, you know, one to 4% of people’s portfolios in Bitcoin. I mean, this is all, I mean, gosh, I, I’ve, you know, been talking about Bitcoin since 2017. This is in unbelievable transformation in less than a decade. Where do you see this going in the next five to 10 years? It’s called the, it’s called, what is it? It’s called, I’m gonna call it the Evolution of Jim. Me, you know, in my business and, and, and, and you know, the thing I have book is I’ve survived and I’ve gone through a lot of cycles. I’ve done a lot, you know, and you ask yourself, you scratch your head a lot and you’re, and you, but you’re continually doing objective research and you’re this, if you, this is why I love this game so much. Right? So let’s just go stop for a second. Let’s get some context. Right. My first summer job, one of my first summer jobs, I worked in the basement of a bank in the in, in downtown Toronto, right up the street from the Toronto Stock Exchange. And my job was to let guys in with beak, briefcases into the cage, into the big vault, to basically bring in certificates. Okay. And, and what? Stock certificates. And so remember, you know, and I remember my grandfather when we, when he died, look at, we couldn’t sell the house because he didn’t believe in the banks. And we were finding certificates all over the house in the walls. Okay? Right. So in the 1960s it was bare based. The whole industry was bare based. And there was the volume in Wall Street started to pick up to the point where they couldn’t handle the volume. There was a paper crisis where almost a third of the companies went down bankrupt because of the cage. The cage. Okay. So basically what happened was, to make a long story short, they came out with, they came, Hey, why don’t we get two computers At one point in time, they said, okay, crisis. Let’s solve it. Well, why don’t we get these two computers and we can solve, or we can sell trades among, amongst each other. Okay. And then we don’t need to have guys riding around Wall Street with bicycles and big briefcases. Okay. And then what we did was, what we did was we sat there and said, well, why don’t we have a centralized clearing, and we’re gonna call it DTC or CDS, depending on what country you’re in. And what we’re gonna do is we’re gonna offer paper, we’re gonna, we’re gonna issue paper rights to the underlying stock that was developed in the early 1970s. That’s the system that we’re on right now. There are a lot of faults with that. Let me give you, when you’ve talked about the GameStop a MC situation, when you have a company that’s basically have more shares outstanding short, sorry, more shares short than outstanding, that shows you that the old system doesn’t work. It’s called ation. The paper writes to the underlying assets, it, it doesn’t match up. There have been guys that make a career outta this and write books about this, right? Dole Pineapple. They had a corporate, a corporate event, right? Hostile takeover. 64,000 for 64 million shares, voted, I think, and there was only 3,200 on. We all know this, so this has to be solved. The way you solve it is you tokenize assets, and this was talked about a decade ago, and they know about it and true tofor, they, and if you’re thinking about it, it’s totally logical, right? But if we allow this innovation to go full stream ahead, we’re wiped out, right? So what did they do? They delayed. They delayed. And as you know, you could talk about, it’s called Operation choke 0.2 0.0. Right. You know, the Fed overreached their bounds, they de banked people. I mean, this is why, why Best it’s going after them. They, yet they stepped over their constitutional mandate. Right. The federal, the Fed Act is not, uh, does not supersede the US Constitution. Elizabeth warned the whole thing. They did it. Okay, so let’s not complain about it. So now Atkins is gonna, we’re gonna have the Clarity Act come out and they’re gonna basically deregulate New York Stock Exchange already there. They’re gonna put everything on the blockchain and when you put everything on the blockchain, trade a settlement. There’s no hypo. Immediate settlement. Immediate, which is a benefit if you can get your act together because it, you know, for Wall Street firms you need less capital, right? So it’s a natural evolutionary process. And then you sit there and go back in history, if you and I were writing it, we’d sit there and go, well, should we be surprised that the incumbents right, the status quo pushed back on innovation? No, there was a guy, there was a prophet, um. At, at Harvard, his name was Clay Christensen, and he wrote this wonderful book called The Innovator’s Dilemma. You know, why does, why don’t companies evolve, or why do they go bankrupt? It’s because they cease to evolve and the status quo doesn’t allow the evolution of the companies to take place. Right? Well, that’s what happened in RA. We’re gonna complain about it. No, it, it is what it is. It’s water under the bridge. And so what I think is happening is, you know, Mr. Diamond is basically saying. He’s pragmatic, he’s a realist. And now he’s saying, we gotta evolve. And hey, by the way, now I’ve gotten to the point where I think I can make a tunnel. Think about that. Yeah. Think about his own stable coins, right? So his own stable coins. And, uh, well think about this. If you trade like internal meetings, right? And I’m hyped this hypothetical, right? I go, fuck, don’t screw this up this time. And you’re gonna go, Jim, what are you talking about? I go. We want a nice bread between bid and ask in these financial price. We don’t wanna go down to pennies. Okay? Can we go back to the old days when we were, you know, trading in quarters and sixteenths and so we can make some skin in the game? I think you’ve got the deregulation of the banking industry where the banks are gonna, they’re fit. It’s gonna be baby steps. But what’s gonna happen is they’re gonna basically say, stop taking all that capital that’s sitting at the Fed, making four or fed funds rate overnights wherever it’s four half, 3 75 right now. And you can now trade it. Go back to prop trading, which is what they did. And they’re gonna start off, they will start off with, its only treasuries. Eventually they’ll be able to expand throughout our lifetime. So the old way you gotta look at it is, you know. We’re bringing the ba, you know, we’re putting the band back together, man. Right. And the banks are gonna deregulate, they’re gonna deregulate the banks, they’re going to innovate, they’re gonna be able to use the capital, their earnings profile going out into the end of the decade. It’s, it’s gonna be monstrous, it’s gonna be, you know, it, it’s, it’s, and, and that’s how I get, you know, when people say, where do you think the s and p goes? You know, I say, you know, 14,000, you know, double from here by the end of the decade. And he goes, well, what about ai? I go, well, they’re gonna, that’s important, but it’s the banks. I think the banks are gonna have a renaissance. Yeah. Yeah. Um, one thing just to get your thoughts on, so when you look at the banks, you talked about sort of the inevitability of tokenization. Um, the stock exchange, uh, we talked about stable coins. I mean, another great way for banks to make money. Uh, essentially where does that, how, how does that help or hurt Bitcoin adoption? Because Bitcoin is a sort of a separate, separate, you’re not, you’re not building on Bitcoin as much as you are, say, Ethereum, Mar Solana or, you know, some of the, some of the blockchain things. So, so is it just that. Is it just a, an adoption issue? Because you live in a, in a different world. You live in a world of blockchain and Bitcoin is, its currency. It’s weird, right? Because I, I’m writing this feed like, so Buck, where are you right now? Where, where, where are you located? I’m in Santa Barbara. You’re in California. So, yeah, so I’m in Toronto, right? Uh, you know, I lived in, worked in the States for, you know, a decade, a couple of decades, and I’m back home and it’s like, man, they don’t get it. Right, and, and, and, and what am I talking about? Well, well, this, this is the, the thing that you’ve gotta understand is this, right. Ethereum was invented by Vladi Butrin in this town, Joe Alozo, who’s the head of one of the largest Ethereum groups. Father is a dentist at Bathurst and Spadina. We’re up here and people are saying, oh, you know, president Trump don’t talk about being a 51st state. We act like a colony, duke. We are a, you know, we forget about calling us one. We are. So, look, it, look, there is no doubt in my mind that Ethereum is going to have a place and, and we’re going to use it. Seems like we’re going to use Ethereum and that’s the smart contract, you know? Um. And that’s fine. Um, you know, but going back in time. But, but remember, there’s not per, there’s not perfect scarcity there. So I like Ethereum, don’t get me wrong, but I look at Bitcoin and I look at the, I look at the scarcity, and I also look at the fact of, you know, what sa, what Sailor, if you sailor did a presentation in the middle of next year and all hell broke loose. What he did, and it’s, you know, and of course I’m hypothesizing. He basically went to New York and said, I am going to create fixed income products and I am going to give yields. On those products, and I’m coming after the stranded capital that sits on Wall Street that you guys have been ripping on for years. In the middle of last year, staler went public and declared war. Okay. Are we surprised that Jim Shane Oaks came out and everybody came out basically guns a blazing. Are we surprised? But what he, what Sailor did and put and slammed on the table is it’s pristine capital, it’s transparent capital. And what are you willing to pay for that? And now you GARP banks trading at. We have no idea what their capital structure really is. Honestly, we have an idea, but it’s very opaque, right? You know, the high quality names are trading at two, two to, you know, two times tangible book. You’ve got fintech’s companies trading at four to five times, right book, and you know, what’s Sailor doing right now? Diluting his stock so he can buy as much Bitcoin as he wants because he sees the next game. He says the hell with what you guys think the next game is going to be. Wall Street’s going to realize that Bitcoin is pristine capital and there’s only 21 million of it. What do you and, and what just happened today? What did Morgan Stanley just file a treasury company. So everything you and I are talking about, they know they’re smart guys, right? They’re real, they’re not. That’s, this is the whole point. They’re really, really, really smart. Okay. They see they’ve gone through the history. They know. Okay, so you’re sitting there, you get around the room, you say, so wait a minute. Wait. Whoa, sailor’s over here. And he’s basically saying he’s gonna give you a a pref that’s basically backed by Bitcoin charging 10%. And he’s going after our corporate clients. I mean, and what’s the pitch Buck? You’ve got a hundred million dollars. Okay, you got a hundred million dollars in the kitty. Okay, buck. What happens is you need $10 million a year for working capital, which is in cash, which means you’ve got $90 million sitting there idle. Hey, buck, I can give you 10% on that. You go to Jamie, he’s giving you two. What are you gonna do? Yeah. I think one of the issues right now is I the, the perceived risk profile of that. Right. Uh, you know. I tend to agree with you about the, uh, pristine nature of Bitcoin s collateral, but just in general, the perception. I don’t know that, that that’s. That’s the case. Well, you gotta go back to the fact that, do you think Bitcoin’s going to zero or not? No, of course not. Yeah. ‘ cause the Bitcoin doesn’t go to zero. There’s no, then, then that are, there’s Bitcoin could go to zero. There’s no, I mean, I don’t think, I mean, non-zero probability, of course, right? I don’t think it is. And if that has been, if it has been selected and now you have Wall Street coalescing it, I haven’t even mentioned the president of the United States or his family. Right. Uh, or the Commerce Secretary and his family, right? Or if you go to New York, wall Street, right, they’re all talking about it, right? So, I, I, you know, to me, I, I, the question about micro strategy, to me it’s not. That it’s a treasury company and it’s got a pile of Bitcoin. What does he do with it? Does he become a bank? Like why does it, this is me. I’m pitching him. Right. Hey, Mike, why don’t you just become a FinTech, say you’re like a FinTech company and you’ll get, and you, you’re gonna instantaneously trade it five to six times book. Why don’t you, why are you, you’re talking like you’re attacking them, but you’re still, you’re still a software company with a, with a big whack of Bitcoin that you are writing pres. Right? So, and, and so that’s, that’s how I look at it. I think the wave is too big. We are going to digitize. And the other thing that we didn’t really touch on with respect to AI and blockchain, and I’m gonna paraphrase the president. Right. Um, Mr. Trump is, look, um, it’s a matter of national security, duke, and when I hear that, I go back to the nineties in the eighties when I was in late eighties when I was an undergrad. Right. And it wasn’t China, it was Japan. And, and you know, what happened was, you know, it, it’s funny, Al Gore did deregulate so that. The internet could become for-profit. We all stood around and said, you know what the hell could, how do we make money on this? That’s, you know, what do we do? And then what did we do? We, we, we threw a ton of money at it and the United States controlled it. And what did we get out of it? We got out, we got, you know, all those companies. Right. The last thing I would say to you, and this is much more of a personal story, is I, when I was younger, I was in New York and it was 2000 and I was at the Grand Hyatt, and it was a tech, it was a tech conference and, uh, Larry Ellison Oracle was there and he gave a, he gave a, he gave a a, a fireside chat. Then, um, we go to a breakout room and, you know, in a break, I don’t know about if you’ve been to one, but you go to a breakout room, it’s a smaller room at the hotel, and you know, sometimes you got 25 people, sometimes you got 50 people, right. And, you know, I went to the, I went to the breakout with Mr. Allison ’cause of Oracle and I went in there and it was absolutely jammed and I was sweating and he just looked at us and he just ripped us. He AP Soly, just, I still have the scars today. I’m talking to you about it. Okay. He called it a bubble. He called it a bubble. He, he was early in calling it a bubble. I never forgot that. And then you sit there and see what he’s doing right now. Where he’s levering up the balance sheet. Now, to me, having survived in this game for such a long period of time, and I call it a game, it’s a game of strategy, whatever, you know, how does that not, you know, I would say to you, we were, your office was next to mine. Fuck. I remember New York, he’s loading the goose loaded in. He go in, he’s borrowing money from his grandmother. He’s, you know, what is going on. And he’s really stinking smart. You know, he’s, he, Larry Allenson just doesn’t do, and people, oh, he’s in, you know, he’s, no, he’s not, he’s, he’s like the mentor of all of these guys. You know what I mean? So there’s a, to me, there’s a discontinuity that these need to believe that we’re still early on because you know, what, if Larry’s, what do we take when Larry or Mr. Ellison is leveraging up to me, it’s profound because I’m anchoring off of my bias to the New York, the New York high at, at the Tech Co. I think it was, I think it was at Bear Stearn. I couldn’t remember Bear Stearns or Lehman. But you know, one of those I carry that experience on with the rest of my life. I do. It’s like, what is Larry thinking? Right? So he’s leveraging up buck. That’s all I know. He’s a priest or guy. Well, that’s probably a good place for us to stop, Jim, uh, chief, uh, market strategist at Wellington Elta Private Wealth. Thank you so much for joining me. Thanks so much and be safe. You make a lot of money but are still worried about retirement. Maybe you didn’t start earning until your thirties. Now you’re trying to catch up. Meanwhile, you’ve got a mortgage, a private school to pay for, and you feel like you’re getting further and further behind. Now, good news, if you need to catch up on retirement, check out a program put out by some of the oldest and most prestigious life insurance companies in the world. It’s called Wealth Accelerator, and it can help you amplify your returns quickly, protect your money from creditors, and provide financial protection to your family if something happens. The concepts here are used by some of the wealthiest families in the world, and there’s no reason why they can’t be used by you. Check it out for yourself by going to wealth formula banking.com. Welcome back to the show everyone. Hope you enjoyed it. Uh, and, uh, as I said before, do not ignore ai. This is something that you need to start using. Have your kids start using it. Uh, make sure that they, you know. They use it every day because this whole world is turning AI and it’s gonna happen. You know, it’s gonna happen in, in a blink of an, uh, blink of an eye. And the world is gonna change and there are gonna be real winners out there. And the winners are gonna be people who knew where there was, was going and kind of used it in their mind’s eye as they looked on navigating how. You know how to allocate their money. Anyway, that is it for me. This week on Wealth Formula Podcast. This is Buck JJoffrey signing off. If you wanna learn more, you can now get free access to our in-depth personal finance course featuring industry leaders like Tom Wheel Wright and Ken McElroy. Visit wealth formula roadmap.com.

Tell us what you think about this podcast!In this episode, Bishop Rader Johnson teaches that making it to the end will take everything within us. Scripture reminds us that we are scarcely saved, not because God is lacking, but because the process is meant to bring us closer and closer to God. The trials, tests, and hardships we face are designed to prepare us, to save us, and to make us ready for the coming of the Lord and the Rapture.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In this episode, Bishop Rader Johnson teaches that making it to the end will take everything within us. Scripture reminds us that we are scarcely saved, not because God is lacking, but because the process is meant to bring us closer and closer to God. The trials, tests, and hardships we face are designed to prepare us, to save us, and to make us ready for the coming of the Lord and the Rapture.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

J Darrin Gross I'd like to ask you, Charles Gaudet, what is the BIGGEST RISK?   Charles Gaudet Well, we mentioned risks earlier, of you know, between the marketing risks and the operational sales risk and all that other stuff. But right now, there's the risk of the unknown. And when I say that every single business is being disrupted by AI already, as it sits right now. The thing is, is, if you look back at 2025, and you ask most people, have you been disrupted by AI? Most people will say, No. You'll ask them, okay, what have you found about your business? And they might say, well, leads have been harder. Sales have been harder. Business just feels harder. And when you ask them why, they'll say things like, make a political maybe it's Trump, maybe it's the economy, maybe it's this, maybe it's that, but it's this. Is the thing that they don't realize. They actually have been disrupted by AI. You see, 60% of all their organic traffic has disappeared between January of 2025, and December of 2025 that traffic disappeared because of AI. If you go to Google and you type in any of the buying search terms, you'll notice AI overviews start to get respond with different answers and so forth, and they're not just giving the website. If you go to perplexity and you type in a perplexity, they give you answers. They don't just give you the website. If you go to Atlas, for those who are using it, or chat GBT, you know, they'll give you answers, they don't give you the website. And so the result of that is we are being disrupted by AI as it stands right now. Do we think that trend is going to continue? Well, yes, it's going to continue. And there's disrupting technologies that unlike the web, when the internet came around and it was like, if you're not on the internet, then you don't exist, that took years before it got to that conclusion where, if you weren't on the internet, that didn't exist. But now what's happening is Google didn't ask your permission to change their algorithm. They just did it, and that started to reduce the search. There's a new browser that's coming out that Google will be launching any minute now that it's already on beta, called disco. Nobody really knows what's the impact that disco is going to have on organic search behavior. I have a client, eight figure client, and I was able to take him into the future and show him some of the future browsing activities that are going on. And you know, when this goes live, the impact. And so we typed in a buying keyword, and what ended up happening to him is AI literally said, here's the reviews of everything that's going on. The thing is, is you can also do it yourself. Would you like me to create a system and a and the emails and this and that, to do it yourself? And he was like, wait a minute, what's happening right now? And I'm like, This is why I'm showing you this, because we can prepare if we know in advance another situation. Somebody turned around, he has a product, and they go, let me take you in the future. Let's take a look what's going to happen. He put it into the into the product, and it said, here's the reviews and here's my concerns. Would you like me to show three other products based on everything that I know about you that might be better suited. And he goes, what is happening right now? I didn't think my competition would be AI. I thought it was going to be the other products in the category. And this is why we're taking you into the future, so we don't know how the extent of the disruption that we're going to be faced with, but we do know we're already being disrupted, and we will continue to be disrupted, so there are still some core fundamental things that people can put into place and into action to minimize that disruption. Have a strong unique advantage, continue to put out great, high value content that people will consume. To build that loyal fan base, build your following, build your community, build that brand awareness, and that will help to to mitigate build partnerships. Partnerships are wonderful way that helps to mitigate the. Impact of AI, but everybody's going to be everybody's going to be disrupted. The beautiful thing is that what you will see by the end of this year, the people who are the most strategic are going to have an outsized advantage over everybody else, and you will begin to see a case shaped bit of the economy. The most strategic people are going to go ahead, and they're going to get a massive advantage, and those less strategic are going to fall by the wayside, because AI is going to they're fighting for survival. AI is going to continue to guide you towards the best competitor, the best company, the best service, the best product, and it's going to continue to align itself with the best so you can't afford to be mediocre anymore. You have to be strategic. https://predictableprofits.com/ https://www.linkedin.com/in/charlesgaudet  

Tell us what you think about this podcast!The Ministry of Reconciliation teaches that living for God and striving to live sin-free actively destroys sin's power in our lives, as outlined in Hebrews 10:1–18. God is serious about sin, and a disregard for His law affects our relationship with Him. Church exists for reconciliation, helping people be made right with God. Verses 16–17 describe the New Birth experience, where God writes His laws on our hearts, and verse 18 shows that Christ's sacrifice removed the need for continual reconciliation for sin.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Welcome back to the Ultimate Guide to Partnering® Podcast. AI agents are your next customers. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ In this exclusive interview, Vince Menzione sits down with Darryl Peek, Vice President for Partner Sales (Public Sector) at Elastic, to decode how Elastic achieved the rare “triple crown”—winning Partner of the Year across Microsoft, Amazon, and Google Cloud simultaneously. Darryl breaks down the engineering-first approach that makes Elastic sticky with hyperscalers, reveals the rigorous metrics behind their partner health scorecard, and shares his personal “one-page strategy” for aligning mission, vision, and execution. From leveraging generative AI for cleaner sales hygiene to the timeless lesson of the “Acre of Diamonds,” this conversation offers a masterclass in building high-performance partner ecosystems in the public sector and beyond. https://youtu.be/__GE0r2fPuk Key Takeaways Elastic achieved “Pinnacle” status by aligning engineering roadmaps directly with hyperscaler innovations to become essential infrastructure. Successful public sector sales require a dual approach: leveraging resellers for contract access while driving domain-specific co-sell motions. Partner relationships outperform contracts; consistency in communication is more valuable than only showing up for renewals. Effective partner organizations track “influence” revenue just as rigorously as direct bookings to capture the full value of SI relationships. Generative AI can automate sales hygiene, turning scattered meeting notes into actionable CRM data and reducing friction for sales teams. The “Acre of Diamonds” philosophy reminds leaders that the greatest opportunities often lie within their current ecosystem, not in distant new markets. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Keywords: Elastic, Darryl Peek, public sector sales, hyperscaler partnership, Microsoft Partner of the Year, AWS Partner of the Year, Google Cloud Partner, partner ecosystem strategy, co-sell motion, partner metrics, channel sales, government contracting, Carahsoft, generative AI in sales, sales hygiene, Russell Conwell, Acre of Diamonds, open source search, observability, security SIM, vector search, retrieval augmented generation, LLM agnostic, partner enablement, influence revenue, channel booking, SI relationships, strategic alliances. Transcript: Darryl Peek Audio Episode [00:00:00] Darryl Peek: I say, I tell my team from time to time, the difference between contacts and contracts is the R and that’s the relationship. So if you’re not building the relationship, then how do you expect that partner to want to lean in? Don’t just show up when you have a contract. Don’t just show up when you have a renewal. [00:00:13] Darryl Peek: Make sure that you are reaching out and letting them know what is happening. Don’t just talk to me when you need a renewal, right? When you’re at end of quarter and you want me to bring a deal forward, [00:00:23] Vince Menzione: welcome to the Ultimate Guide to Partnering. I’m Vince Menzi. Own your host, and my mission is to help leaders like you achieve your greatest results through successful partnering. [00:00:34] Vince Menzione: We just came off Ultimate Partner live at Caresoft Training Center in Reston, Virginia. Over two days, we gathered top leaders to tackle the real shifts shaping our industry. If you weren’t in the room, this episode brings you right to the edge of what’s next. Let’s dive in. So we have another privilege, an incredible partner, another like we call these, if you’ve heard our term, pinnacle. [00:01:00] Vince Menzione: I think it’s a term that’s not widely used, but we refer to Pinnacle as the partners that have achieved the top rung. They’ve become partners of the year. And our next presenter, our next interview is going to be with an organization. And a person that represents an organization that has been a pinnacle partner actually for all three Hyperscalers, which is really unusual. [00:01:24] Vince Menzione: Elastic has been partner of the Year award winner across Microsoft, Amazon, and Google Cloud, so very interesting. And Darrell Peak, who is the leader for the public sector organization, he’s here in the Washington DC area, was kind enough. Elastic is a sponsor event, and Darryl’s been kind enough to join me for a discussion about what it takes to be a Pinnacle partner. [00:01:47] Vince Menzione: So incredibly well. Excited to welcome you, Darryl. Thank you, sir. Good to have you. I love you. I love your smile, man. You got an incredible smile. Thank you. Thank you, Vince. Thank you. So Darryl, I probably didn’t do it any justice, but I was hoping you could take us through your role and responsibilities at Elastic, which is an incredible organization. [00:02:08] Vince Menzione: Alright. Yeah, [00:02:09] Darryl Peek: absolutely. So Darrell Peak vice President for partner sales for the US public sector at Elastic. I’ve been there about two and a half years. Responsible for our partner relationships across all partner types, whether that’s the system integrators, resellers, MSPs, OEMs, distribution Hyperscalers, and our Technology Alliance partners. [00:02:26] Darryl Peek: And those are partners that aren’t built on the Elastic platform. In regards to how my partner team interacts with our team. Our ecosystem. We are essentially looking to further and lean in with our partners in order for them to, one, understand what Elastic does since we’re such a diverse tool, but also work with our field to understand what are their priorities and how do they identify the right partners for the right requirements. [00:02:50] Darryl Peek: In regards to what Elastic is and what it does elastic is a solution that is actually founded on search and we’re an open source company. And one of the things that I actually did when I left the government, so I worked for the government for a number of years. I left, went and worked for Salesforce, then worked for Google ran their federal partner team and then came over to Elastic because I wanted to. [00:03:11] Darryl Peek: Understand what it meant to be at an open source company. Being at an open source company is quite interesting ’cause you’re competing against yourself. [00:03:17] Vince Menzione: Yeah, that’s true. [00:03:18] Darryl Peek: So it’s pretty interesting. But elastic was founded in 2012 as a search company. So when you talk about search, we are the second most used platform behind Google. [00:03:28] Darryl Peek: So many of you have already used Elastic. Maybe on your way here, if you use Uber and Lyft, that is elastic. That is helping you get here. Oh, that is interesting. If you use Netflix, if you use wikipedia.com, booking.com, eBay, home Depot, all of those are search capabilities. That Elastic is happening to power in regards to what else we do. [00:03:47] Darryl Peek: We also do observability, which is really around application monitoring, logging, tracing, and metrics. So we are helping your operations team. Pepsi is a customer as well as Cisco. Wow. And then the last thing that we do is security when we’re a SIM solution. So when we talk about sim, we are really looking to protect networks. [00:04:03] Darryl Peek: So we all, we think that it’s a data problem. So with that data problem, what we’re trying to do is not only understand what is happening in the network, but also we are helping with threat intelligence, endpoint and cloud security. So all those elements together is what Elastic does. And we only do it two ways. [00:04:18] Darryl Peek: We’re one platform and we can be deployed OnPrem and in the cloud. So that’s a little bit about me and the company. Hopefully it was clear, [00:04:24] Vince Menzione: I’ve had elastic people on stage. You’ve done, that’s the best answer I’ve had. What does Elastic do? I used to hear all this hyperbole and what? [00:04:32] Vince Menzione: What? Now I really understand what you do is an organiz. And the name of the company was Elasticsearch. [00:04:36] Darryl Peek: It was [00:04:37] Vince Menzione: elastic at one time when I first. Worked with you. It was Elasticsearch. [00:04:40] Darryl Peek: Absolutely. Yeah. So many moons ago used to be called the Elk Stack and it stood for three things. E was the Elasticsearch which is a search capability. [00:04:48] Darryl Peek: L is Logstash, which is our logging capability. And Cabana is essentially our visualization capability. So it was called Elk. But since we’ve acquired so many companies and built so much capability into the platform, we can now call it the elastic. Platform. [00:05:00] Vince Menzione: So talk to me about your engagement with the hyperscalers. [00:05:02] Vince Menzione: You’ve been partner of the Year award winner with all three, right? I mentioned that, and you were, you worked for Google for a period of time. Yes. So tell us about, like, how does that work? What does that engagement look like? And why do you get chosen as partner of the year? What are the things that stand out when you’re working with these hyperscalers [00:05:19] Darryl Peek: and with that we are very fortunate to be recognized. [00:05:23] Darryl Peek: So many of the organizations that are out there are doing some of the same capabilities that we do, but they can’t claim that they won a part of the year for all three hyperscalers in the same year. We are able to do that because we believe in the power of partnership, not only from a technology perspective, but also from a sales perspective. [00:05:39] Darryl Peek: So we definitely lean in with our partnerships, so having our engineers talk, having our product teams talk, and making sure that we’re building capabilities that actually integrate within the cloud service providers. And also consistently building a roadmap that aligns with the innovation that the cloud service providers are also building towards. [00:05:56] Darryl Peek: And then making sure that we’re a topic of discussion. So elastic. From a search capability, we do semantic search, vector search, but also retrieval augmented generation, which actually is LLM Agnostic. So when you say LLM Agnostic, whether you want to use Gemini, Claude or even Chad, GBT, those things are something that Elastic can integrate in, but it actually helps reduce the likelihood of hallucination. [00:06:18] Darryl Peek: So when we’re building that kind of solution, the cloud service provider’s you’re making it easy for us, and when you make it easy, you become very attractive and therefore you’re. Likely gonna come. So it becomes [00:06:28] Vince Menzione: sticky in that regard. Very sticky. So it sounds like very much an engineer, a lot of emphasis on the engineering aspects of the business. [00:06:35] Vince Menzione: I know you’re an engineer by background too, right? So the engineering aspects of the business means that you’re having alignment with the engineering organizations of those companies at a very deep level. [00:06:44] Darryl Peek: Absolutely. So I’m [00:06:45] Vince Menzione: here. [00:06:45] Darryl Peek: Yeah. And being at Elastic has been pretty amazing. So coming from Google, we had so many different solutions, so many different SKUs, but Elastic releases every eight weeks. [00:06:54] Darryl Peek: So right before you start to understand the last release, the next release is coming out and we’re already at 9.2 and we just released 9.0 in May. So it’s really blazing fast on the capability that we’re really pushing the market, but it’s really hard to make sure that we get it in front of our partners. [00:07:10] Darryl Peek: So when we talk about our partner enablement strategy, we’re just trying to make sure that we get the right information in front of the right partners at the right time, so this way they can best service their customers. [00:07:19] Vince Menzione: So let’s talk about partner strategy. Alyssa Fitzpatrick was on stage with me at our last event, and she Alyssa’s fantastic. [00:07:25] Vince Menzione: She is incredible. Yes, she is. She was a former colleague at Microsoft Days. Yes. And then she, we had a really interesting conversation. About what it takes, like being in, in a company and then working with the partners in general. And you have, I’m sure you have a lot of the similarities in how you have to engage with these organizations. [00:07:42] Vince Menzione: You’re working across the hyperscalers, you’re also working with the ecosystem too. Yes. ’cause the delivery, you have delivery partners as well. Absolutely. So tell us more about that. [00:07:50] Darryl Peek: So we kinda look at it from a two, two ways from the pre-sales motion and then the post-sales. From the pre-sales side. [00:07:56] Darryl Peek: What we’re trying to do is really maximize our, not only working with partners, because within public sector, you need to get access to customers through contract vehicles. So if you want to get access to some, for instance, the VA or through GSA or others, you have to make sure you’re aligned with the right partners who have access to. [00:08:12] Darryl Peek: That particular agency, but also you want domain expertise. So as you’re working with those system integrators, you wanna make sure that they have capability that aligns. So whether it is a security requirement, you wanna work with someone who specializes in security, observability and search. So that’s the way that we really look at our partner ecosystem, but those who are interested in working with us. [00:08:30] Darryl Peek: Because everybody doesn’t necessarily have a emphasis on working with a new technology partner, [00:08:36] Vince Menzione: right? [00:08:36] Darryl Peek: So what we’re trying to do is saying how do we build programs, incentives and sales plays that really does align and strike the interest of that particular partner? So when we talk about it I tell my team, you have to, my grandfather to say, plan your work and work your plan. And if you fail a plan, you plan to fail. So being able to not only have a strong plan in place, but then execute against that plan, check against that plan as you go through the fiscal year, and then see how you come out at the end of the fiscal year to see are we making that progress? [00:09:01] Darryl Peek: But on the other side of it, and what I get stressed about with my sales team and saying what does partners bring to us? So where are those partner deal registrations? What is the partner source numbers? How are we creating more pipeline? And that is where we’re now saying, okay, how can we navigate and how can we make it easier? [00:09:17] Darryl Peek: And how can we reduce friction in order for the partner to say, okay, elastic’s easy to work with. I can see value in, oh, by the way, I can make some money with. [00:09:25] Vince Menzione: So take us through, have there been examples of areas where you’ve had to like, break through to this other side in terms of growing the partner ecosystem? [00:09:33] Vince Menzione: What’s worked, what hasn’t worked? Yes, I’d love to learn more about that. [00:09:36] Darryl Peek: I’ll say that and I tell my team one, you partner program is essential, right? If you don’t have an attractive partner program in regards to how they come on board, how they’re incentivized the right amount of margin, they won’t even look at you. [00:09:49] Darryl Peek: The second thing is really how do you engage? So a lot of things start with relationships. I think partnerships are really about relationships. I say I tell my team from time to time, the difference between contacts and contracts is the R and that’s the relationship. So if you’re not building the relationship, then how do you expect that partner to want to lean in? [00:10:07] Darryl Peek: Don’t just show up when you have a contract. Don’t just show up when you have a renewal. Make sure that you are reaching out and letting them know what is happening. I like the what Matt brought up in saying, okay, talk to me when you have a win. Talk to me when you have something to talk about. [00:10:22] Darryl Peek: Don’t just talk to me when you need a renewal. When you’re at end the quarter and you want me to bring a deal forward, that doesn’t help ab absolutely. [00:10:28] Vince Menzione: So engineering organizations, sales organizations, what are, what does a healthy partnership look like for you? [00:10:35] Darryl Peek: So I look at metrics a lot and we use a number of tools and I know folks are using tools out there. [00:10:41] Darryl Peek: I won’t name any tools for branding purposes, but in regards to how we look at tools. So some things that we measure closely. Of course it’s our partner source numbers, so partner source, bookings, and pipeline. We look at our partner attached numbers and pipeline as well as the amount or percentage of partner attached business that we have in regards to our overall a CV number. [00:11:00] Darryl Peek: We also look at co-sell numbers, so therefore we are looking at not only how. A partner is coming to us, but how is a partner helping us in closing the deal even though they didn’t bring us the deal? We’re also looking at our cloud numbers and saying what amount of deals and how much business are we doing with our cloud service providers? [00:11:15] Darryl Peek: Because of course we wanna see that number go up year over year. We wanna actually help with that consumption number because not only are we looking at it from a SaaS perspective, but also if the customer has to commit we can help burn that down as well. We also look at influence numbers. [00:11:27] Darryl Peek: Now, one of the harder things to do within a technology business is. Capturing all that si goodness. And saying how do I reflect the SI if they’re not bringing me the deal? And I can’t attribute that amount of deal to that particular partner, right? And the way that we do that is we just tag them to the influence. [00:11:44] Darryl Peek: So we’re able to now track influence. And also the M-S-P-O-E-M work that we are also tracking and also we’re tracking the royalties. And lastly is the professional service work that we do with those partners. So we’re looking to go up into the right where we start them out at our select level, we go to our premier level and then our elite level. [00:12:00] Darryl Peek: But left and to the right, I say you gotta go from zero to one, one to five, five to 10, and then 10 to 25. So if we can actually see that progression. That is where we’re really starting to see health in the partnership, but also the executive alignment is really important. So when our CEO is able to meet with the fellow CEO of the co partner company that is really showing how we are progressing, but also our VPs and others that are engaged. [00:12:20] Darryl Peek: So those are things that we really do measure. We do have a health score card and also, we track accreditations, we track certifications as well as training outcomes based on our sales place. [00:12:30] Vince Menzione: Wow. There’s a lot of metrics there. Yeah. So you didn’t bring, you didn’t bring any slides with that out? [00:12:35] Darryl Peek: Oh, no. I’m not looking at slides, by the way. [00:12:40] Vince Menzione: Let’s talk about marketplace. [00:12:42] Darryl Peek: All right? [00:12:42] Vince Menzione: Because we’ve had a lot of conversations about marketplace. We’ve got both vendors up here talking about marketplace and the importance of marketplace, right? You’ve been a Marketplace Award winner. We haven’t really talked about that, like that motion per se. [00:12:55] Vince Menzione: I’d love to s I’d love to hear from you like how you, a, what you had to overcome to get to marketplace, what the marketplace motion looks like for your organization, what a marketplace first motion looks like. ’cause a lot of your cut a. Are all your customers requiring a lot of direct selling effort or is it some of it through Marketplace? [00:13:14] Vince Menzione: Like how does it, how does that work for you? [00:13:15] Darryl Peek: So Elastic is a global organization. Yeah. So we’re, 40 different countries. So it depends on where we’re talking. So if we talk about our international business, which is our A PJ and EMEA business we are seeing a lot more marketplace and we’re seeing that those direct deals with customers. [00:13:28] Darryl Peek: Okay. And we’re talking about our mirror business. A significant amount goes through marketplace and where our customers are transacting with the marketplace and are listing. On the marketplace within public sector, it’s more of a resell motion. Okay. So we are working with our resellers. [00:13:39] Darryl Peek: So we work our primary distribution partner is Carahsoft. So you heard from Craig earlier. Yes. We have a strong relationship with Carahsoft and definitely a big fan of this organization. But in regards to how we do that and how we track it we are looking at better ways to, track that orchestration and consumption numbers in order to see not only what customers we’re working with, but how can we really accelerate that motion and really get those leads and transactions going. [00:14:03] Vince Menzione: Very cool. Very cool. And I think part of the reason why in, in the government or public sector space it has a lot to do with the commitments are different. Absolutely. So it’s not government agencies aren’t able to make the same level of commitments that, private sector organizations were able to make, so they were able to the Mac or Microsoft parlance and also a AWS’s parlance. [00:14:23] Vince Menzione: Yeah, [00:14:24] Darryl Peek: definitely a different dynamic. Yeah. And especially within the public sector. ’cause we have Gov Cloud to work with, right? That’s right. So we’re working with Microsoft or we’re working with AWS, they have their Gov cloud and then we Google, they don’t have a Gov cloud, but we still have to work with them differently. [00:14:35] Darryl Peek: Yeah. Within that space. That’s [00:14:36] Vince Menzione: right. That’s right. So it makes the motion a little bit differently there. So I think we talked through some of this. I just wanna make sure we cover our points [00:14:43] Darryl Peek: here. One thing I’ll do an aside, you talked about the acre of diamonds. I’m a big fan of that story. [00:14:47] Vince Menzione: Yeah, let’s talk about Russ Con. Yeah, [00:14:49] Darryl Peek: let’s talk about it. Do you all know about the Acre Diamonds? Have you all heard that story before? No. You have some those in the audience. [00:14:55] Vince Menzione: I, you know what, let’s talk about it. All [00:14:56] Darryl Peek: See, I’m from Philadelphia. [00:14:57] Vince Menzione: I didn’t know you were a family. My daughter went to Temple University. [00:14:59] Vince Menzione: Ah, [00:15:00] Darryl Peek: okay. That’s all I know. So Russell Conwell. So he was, a gentleman out of the Philadelphia area and he went around town to raise money and he wanted to raise money because he believed that there was a promise within a specific area. And as he continued to raise this money, he would tell a story. [00:15:14] Darryl Peek: And basically it was a story about a farmer in Africa. And the farmer in Africa, to make it really short was essentially looking to be become very wealthy. And because he wanted to become very wealthy, he believed that selling his farm and going off to a long distant land was the primary way for him to find diamonds. [00:15:28] Darryl Peek: And this farmer didn’t sold us. Sold his place, then went off to to this foreign land, and he ended up dying. And people thought that was the end of the story, but there was another farmer who bought that land and one time this big, and they called him the ot, came to the door and said you mind if I have some tea with you? [00:15:43] Darryl Peek: He said, all right, come on in. Have a drink. And as he had the drink, he looked upon the mantle and his mouth dropped. And then the farmer said what’s wrong? What do you say? He says, do you know what that is? No. He said no. Do you know what that is? He says, no. He said, that’s the biggest diamond I’ve ever seen, and the farmer goes. [00:16:01] Darryl Peek: That’s weird because there’s a bunch right in the back where I go grab my fruits and crops every day. So the idea of the acre diamonds and sometimes that you don’t need to go off to a far off land. It is actually sometimes right under your feet, and that is a story that helped fund the starting of Temple University. [00:16:16] Vince Menzione: I’m gonna need to take you at every single event so you can tell this story again. That’s an awesome job. Oh, I love it. And yeah, they founded a Temple University. Yeah. Which has become an incredible university. My daughter, like I said, my daughter’s a graduate, so we’re Temple fan. That’s great story. [00:16:31] Vince Menzione: That is a very cool, I didn’t realize you were a Philadelphia guy too, so that is awesome. Go birds. Go birds. All right, good. So let’s talk, I think we talked a little bit about your ecosystem approach, but maybe just a little bit more on this, like you said, like a lot of data, a lot of metrics but also a lot of these organizations also have to under understand the engineering side of things. [00:16:53] Vince Menzione: Oh, yeah. There’s a tremendous amount to become. Not everybody could just show up one day and become an elastic partner [00:16:58] Darryl Peek: absolutely. Absolutely. So take us [00:16:59] Vince Menzione: through that process. [00:17:00] Darryl Peek: Yeah. So one of the things that we are trying to mature and we have matured is our partner go to market. [00:17:06] Darryl Peek: So in order to join our partner ecosystem, you have to sign ’em through our partner portal. You have to sign our indirect reseller agreement. ’cause we do sell primarily within the public sector through distribution. And we only go direct if it is by exception. So you have to get justification through myself as well as our VP for public sector. [00:17:21] Darryl Peek: But we really do try to make sure that we can aggregate this because one thing that we have to monitor is terms and conditions. ’cause of course, working with the government, there’s a lot of terms and conditions. So we try to alleviate that by having it go through caresoft, they’re able to absorb some, so this way we can actually transact with the government. [00:17:36] Darryl Peek: In regards to the team though we try to really work closely with our solution architecture team. So this way we can develop clear enablement strategies with our partners so this way they know what it is we do, but also how to properly bring us up in a conversation. Also handle objections and also what are we doing to implement our solutions within other markets. [00:17:55] Darryl Peek: So those are things that we are doing as well as partner marketing. Top of funnel activity is really important, so we’re trying to differentiate what we’re doing with the field and field marketing. So you’re doing the leads and m qls and things of that nature also with partner marketing. So our partner marketing actually is driven by leads, but also we’re trying to transact. [00:18:10] Darryl Peek: And get Ps of which our partner deal registration. So that is how we align our partner go to market. And that is actually translating into our partner source outcomes. [00:18:18] Vince Menzione: And I think we have a slide that talks a little bit about your public sector partner strategy. [00:18:23] Darryl Peek: Oh yeah. Oh, I share that. So I thought maybe we could spin it. [00:18:25] Darryl Peek: Absolutely. [00:18:25] Vince Menzione: I know you we can’t see it, but they can. Oh, they can. Okay. Great. [00:18:29] Darryl Peek: There it’s there. [00:18:30] Vince Menzione: It’s career. [00:18:31] Darryl Peek: One thing, I think this was Einstein has said, if you can’t explain it simply, you don’t understand it well enough. So that was the one thing. So I always was a big fan of creating a one page strategy. [00:18:39] Darryl Peek: And based on this one page strategy one of the things when I worked at Salesforce it was really about a couple things and the saying, okay, what are your bookings? And if you don’t have bookings, what does your pipeline look like? If you don’t have pipeline, what does your prospecting look like? [00:18:51] Darryl Peek: Yeah. If you don’t have prospecting what does your account plan look like? And if you don’t have an account plan, why are you here? Why are you here? Exactly. So those are the things that I really talk to my team about is just really a, it’s about bookings. It’s about pipeline. It’s about planning, enablement and execution. [00:19:05] Darryl Peek: It’s about marketing, branding and evangelism, and also about operational excellence and how to execute. Very cool. So being able to do that and also I, since I came from Salesforce, I talk to my team a lot about Salesforce hygiene. So we really talk about that a lot. So make, making sure we’re making proper use of chatter, but also as we talk about utilizing ai, we just try to. [00:19:21] Darryl Peek: How do we simplify that, right? So if we’re using Zoom or we’re using Google, how do we make sure that we’re capturing those meeting minutes, translating that, putting that into the system, so therefore we have a record of that engagement with that partner. So this is a continuous threat. So this way I don’t have to call my partner manager the entire time. [00:19:36] Darryl Peek: I can look back, see what actions, see what was discussed, and say, okay, how can we keep this conversation going? Because we shouldn’t have to have those conversations every time. I shouldn’t have to text you to say, give me the download on every partner. Every time. How do we automate that? And that’s really where you’re creating this context window with your Genive ai. [00:19:53] Darryl Peek: I think they said what 75% of organizations are using one AI tool. And I think 1% are mature in that. But also a number of organizations, it’s 90% of organizations are using generative AI tools to some degree. So we are using gen to bi. We do use a number of them. We have elastic GPT. Nice little brand there. [00:20:11] Darryl Peek: But yeah, we use that for not only understanding what’s in our our repositories and data lakes and data warehouses, but also what are some answers that we can have in regards to proposal responses, RP responses, RFI, responses and the like. [00:20:23] Vince Menzione: And you’re reaching out to the other LLMs through your tool? [00:20:26] Darryl Peek: We can actually interact with any LLM. So we are a LLM Agnostic. [00:20:29] Vince Menzione: Got it. Yep. That’s fantastic. And this slide is we’ll make this available if you don’t have a, yeah, have a chance. We’ll share it. I [00:20:36] Darryl Peek: am happy to share, yeah. And obviously happy to talk, reach out about it. Of, of course. I simplified it in order to account for you, but one of the things that I talk about is mission, vision of values. [00:20:45] Darryl Peek: And as we start with that is what is your mission now? How is anybody from Pittsburgh, anybody steal a fan? Oh wow. No, there’s a steel fan over [00:20:54] Vince Menzione: here. There’s one here. There’s a couple of ’em are out here. So I feel bad. [00:20:57] Darryl Peek: The reason why I put immaculate in there is for the immaculate reception, actually. [00:21:00] Darryl Peek: Yes. And basically saying that if you ever seen that play, it was not pretty at all. It was a very discombobulated play. Yeah. And I usually say that’s the way that you work with partners too, because when that deal doesn’t come in, when you gotta make a call, when you’re texting somebody at 11 o’clock at night, when you’re trying to get that at, right before quarter end. [00:21:17] Darryl Peek: Yeah. Before the end of it. It really is difficult, but it’s really creating that immaculate experience. You want that partner to come back. I know it’s challenging, but I appreciate how you leaned in with us. Yes, absolutely. I appreciate how you work with us. I appreciate how you held our hand through the process, and that’s what I tell my team, that we have to create that partner experience. [00:21:32] Darryl Peek: And maybe that’s a carryover from Salesforce, Dave. I don’t know. But also when we talk about enhancing or accelerating our partner. Our public sector outcomes that is really working with the customer, right? So customer experience has to be part of it. Like all of us have to be focused on that North star, and that is really how do we service the customer, and that’s what we choose to do. [00:21:48] Darryl Peek: But also the internal part. So I used to survey my team many moves ago, and I said, if we don’t get 80% satisfaction rate from our employees how do we get 60% satisfaction rate from our customers? Yeah. So really focus on that employee success and employee satisfaction. It’s so important, is very important. [00:22:03] Darryl Peek: So being able to understand what are the needs of your employees? Are you really addressing their concerns and are you really driving them forward? Are you challenging them? Are you creating pathways for progression? So those are things that I definitely try to do with my team. As well as just really encouraging, inspiring, yeah. [00:22:19] Darryl Peek: And just making sure that they’re having fun at the same time. [00:22:21] Vince Menzione: It shows up in such, I, there’s an airline I don’t fly any longer, and it was a million mile member of and I know it’s because of the way they treat their employees. [00:22:29] Vince Menzione: Because it cascades Right? [00:22:30] Darryl Peek: It does. Culture is important. [00:22:32] Vince Menzione: Yeah. Absolutely. [00:22:32] Darryl Peek: What is it? What Anderson Howard they say what col. Mark Andresen culture eat strategy for [00:22:37] Vince Menzione: breakfast. He strategy for breakfast? Yes. Very much this has been insightful. I really enjoyed having you here today. Really a great, you’re a lot of fun. You’re a lot of fun. [00:22:43] Vince Menzione: Darry, isn’t you? Amazing. So thank you for joining us. Thank you all. Thank And you’re gonna be, you’re gonna be sticking around for a little while today. I’m sticking around for a little while. I’ll be back in little later. I think people are gonna just en enjoy having a conversation with you, a little sidebar. [00:22:55] Darryl Peek: Absolutely. I’m looking forward to it. Thank you all for having me. Glad to be here. And thank you for giving the time today. [00:23:01] Vince Menzione: Thank you Darryl, so much. So appreciate it. And you’re gonna have to come join me on this Story Diamond tool. Yeah, absolutely. Thanks for tuning into this episode of Ultimate Guide to Partnering. [00:23:12] Vince Menzione: We’re bringing these episodes to you to help you level up your strategy. If you haven’t yet, now’s the time to take action and think about joining our community. We created a unique place, UPX or Ultimate partner experience. It’s more than a community. It’s your competitive edge with insider insights, real-time education, and direct access to people who are driving the ecosystem forward. [00:23:38] Vince Menzione: UPX helps you get results, and we’re just getting started as we’re taking this studio. And we’ll be hosting live stream and digital events here, including our January live stream, the Boca Winter Retreat, and more to come. So visit our website, the ultimate partner.com to learn more and join us. Now’s the time to take your partnerships to the next level.

Tell us what you think about this podcast!The Ministry of Reconciliation teaches that living for God and striving to live sin-free actively destroys sin's power in our lives, as outlined in Hebrews 10:1–18. God is serious about sin, and a disregard for His law affects our relationship with Him. Church exists for reconciliation, helping people be made right with God. Verses 16–17 describe the New Birth experience, where God writes His laws on our hearts, and verse 18 shows that Christ's sacrifice removed the need for continual reconciliation for sin.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!The Ministry of Reconciliation teaches that living for God and striving to live sin-free actively destroys sin's power in our lives, as outlined in Hebrews 10:1–18. God is serious about sin, and a disregard for His law affects our relationship with Him. Church exists for reconciliation, helping people be made right with God. Verses 16–17 describe the New Birth experience, where God writes His laws on our hearts, and verse 18 shows that Christ's sacrifice removed the need for continual reconciliation for sin.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!The Ministry of Reconciliation teaches that living for God and striving to live sin-free actively destroys sin's power in our lives, as outlined in Hebrews 10:1–18. God is serious about sin, and a disregard for His law affects our relationship with Him. Church exists for reconciliation, helping people be made right with God. Verses 16–17 describe the New Birth experience, where God writes His laws on our hearts, and verse 18 shows that Christ's sacrifice removed the need for continual reconciliation for sin.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In How God Speaks to Us in These Last Days, Bishop Rader Johnson explains that God speaks to His people today through the Holy Ghost, but always in alignment with the Word and the teaching of their pastor. For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In How God Speaks to Us in These Last Days, Bishop Rader Johnson explains that God speaks to His people today through the Holy Ghost, but always in alignment with the Word and the teaching of their pastor. For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Episode Summary: In this episode of *Legal Marketing Happy Hour*, Stephen Wilson, Director of SEO at Above the Bar Marketing, shares insights on creating content that attracts clicks and converts visitors into clients. From understanding user intent to establishing topical authority, Stephen breaks down how law firms can enhance their content strategy to drive conversions effectively. Key Timestamps: 00:00 – Introduction 02:15 – Differentiating content that converts from average blog posts 05:10 – Understanding user search intent for effective content creation 09:30 – Significance of topical authority for law firms in SEO 12:45 – Key elements like headers and internal links in content optimization 15:20 – Common mistakes hindering well-written pages from performing 18:00 – Balancing freshness of content and creating new vs. updating old content 21:30 – Tracking analytics and KPIs for measuring content performance 24:10 – Embracing generative tools like chat GBT for content creation 28:05 – Recommendations for strengthening content strategy for 2026 About the Show: *Legal Marketing Happy Hour* serves up tactical marketing insights to help law firms grow smarter, faster, and more profitable. The show focuses on providing actionable strategies and expert advice to elevate law firms' marketing efforts.

Tell us what you think about this podcast!In How God Speaks to Us in These Last Days, Bishop Rader Johnson explains that God speaks to His people today through the Holy Ghost, but always in alignment with the Word and the teaching of their pastor. For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

The Overtired trio reunites for the first time in ages, diving into a whirlwind of health updates, hilarious anecdotes, and the latest tech obsessions. Christina shares a dramatic spinal saga while Brett and Jeff discuss everything from winning reddit contests to creating a universal markdown processor. Tune in for updates on Mark 3, the magical world of Scrivener, and why Brett’s back on Bing. Don’t miss the banter or the tech tips, and as always, get ready to laugh, learn, and maybe feel a little overtired yourself. Sponsor Shopify is the commerce platform behind 10% of all eCommerce in the US, from household names like Mattel and Gymshark, to brands just getting started. Get started today at shopify.com/overtired. Chapters 00:00 Welcome to the Overtired Podcast 01:09 Christina’s Health Journey 10:53 Brett’s Insurance Woes 15:38 Jeff’s Mental Health Update 24:07 Sponsor Spot: Shopify 24:18 Sponsor: Shopify 26:23 Jeff Tweedy 27:43 Jeff’s Concert Marathon 32:16 Christina Wins Big 36:58 Monitor Setup Challenges 37:13 Ergotron Mounts and Tall Poles 38:33 Review Plans and Honest Assessments 38:59 Current Display Setup 41:30 Thunderbolt KVM and Display Preferences 42:51 MacBook Pro and Studio Comparisons 50:58 Markdown Processor: Apex 01:07:58 Scrivener and Writing Tools 01:11:55 Helium Browser and Privacy Features 01:13:56 Bing Delisting Incident Show Links Danny Brown's 10 in the New York Times (gift link) Indigo Stack Scrivener Helium Bangs Apex Apex Syntax Join the Marked 3 Beta LG 32 Inch UltraFine™evo 6K Nano IPS Black Monitor with Thunderbolt™ 5 Join the Conversation Merch Come chat on Discord! Twitter/ovrtrd Instagram/ovrtrd Youtube Get the Newsletter Thanks! You’re downloading today’s show from CacheFly’s network BackBeat Media Podcast Network Check out more episodes at overtiredpod.com and subscribe on Apple Podcasts, Spotify, or your favorite podcast app. Find Brett as @ttscoff, Christina as @film_girl, Jeff as @jsguntzel, and follow Overtired at @ovrtrd on Twitter. Transcript Brett + 2 Welcome to the Overtired Podcast Jeff: [00:00:00] Hello everybody. This is the Overtired podcast. The three of us are all together for the first time since the Carter administration. Um, it is great to see you both here. I am Jeff Severance Gunzel if I didn’t say that already. Um, and I’m here with Christina Warren and I’m here with Brett Terpstra and hello to both of you. Brett: Hi. Jeff: Great to see you both. Brett: Yeah, it’s good to see you too. I feel like I was really deadpan in the pre-show. I’ll try to liven it up for you. I was a horrible audience. You were cracking jokes and I was just Jeff: that’s true. Christina, before you came on, man, I was hot. I was on fire and Brett was, all Brett was doing was chewing and dropping Popsicle parts. Brett: Yep. I ate, I ate part of a coconut outshine Popsicle off of a concrete floor, but Jeff: It is true, and I didn’t even see him check it [00:01:00] for cat hair, Brett: I did though. Jeff: but I believe he did because he’s a, he’s a very Brett: I just vacuumed in Jeff: He’s a very good American Brett: All right. Christina’s Health Journey Brett: Well, um, I, Christina has a lot of health stuff to share and I wanna save time for that. So let’s kick off the mental health corner. Um, let’s let Christina go first, because if it takes the whole show, it takes the whole show. Go for it. Christina: Uh, I, I will not take this hold show, but thank you. Yeah. So, um, my mental health is okay-ish. Um, I would say the okay-ish part is, is because of things that are happening with my physical health and then some of the medications that I’ve had to be on, um, uh, to deal with it. Uh, prednisone. Fucking sucks, man. Never nev n never take it if you can avoid it. Um, but why Christina, why are you on prednisone or why were you on prednisone for five days? Um, uh, and I’m not anymore to be clear, but that certainly did not help my mental health. Um, at the beginning of November, I woke up and I thought that I’d [00:02:00] slept on my shoulder wrong. And, um, uh, and, and just some, some background. I, I don’t know if this is pertinent to how my injury took place or not, but, but it, I’m sure that it didn’t help. Um, I have scoliosis and in the top and the bottom of my spine, so I have it at the top of my, like, neck area and my lower back. And so my back is like a crooked s um, this will be relevant in a, in a second, but, but I, I thought that I had slept on my back bunny, and I was like, okay, well, all right, it hurts a lot, but fine. Um, and then it, a, a couple of days passed and it didn’t get any better, and then like a week passed and I was at the point where I was like, I almost feel like I need to go to the. Emergency room, I’m in pain. That is that significant. Um, and, you know, didn’t get any better. So I took some of grant’s, Gabapentin, and I took, um, some, some, uh, a few other things and I was able to get in with like a, a, a sports and spine guy. Um, and um, [00:03:00] he looked at me and he was like, yeah, I think that you have like a, a, a bolting disc, also known as a herniated disc. Go to physical therapy. See me later. We’ll, we’ll deal with it. Um. Basically like my whole left side was, was, was really sore and, and I had a lot of pain and then I had numbness in my, my fingers and um, and, and that was a problem the next day, which was actually my birthday. The numbness had at this point spread to my right side and also my lower extremities. And so at this point I called the doctor and he was like, yeah, you should go to the er. And so I went to the ER and, and they weren’t able to do anything for me other than give me, you know, like, um, you know, I was hoping they might give me like, some sort of steroid injection or something. They wouldn’t do anything other than, um, basically, um, they gave me like another type of maybe, maybe pain pill or whatever. Um, but that allowed the doctor to go ahead and. Write, uh, write up an MRI took forever for me to get an MRI, I actually had to get it in Atlanta. [00:04:00] Fun fact, uh, sometimes it is cheaper to just pay and not go through insurance and get an MR MRI and, um, a, um, uh, an x-ray, um, I was able to do it for $450 Jeff: Whoa. Really? Christina: Yeah, $400 for the MR mri. $50 for the x-ray. Jeff: Wow. Christina: Yeah. Yeah. Brett: how I, they, I had an MRI, they charged me like $1,200 and then they failed to bill insurance ’cause I was between insurance. Christina: Yes. Yeah. So what happened was, and and honestly that was gonna be the situation that I was in, not between insurance stuff, but they weren’t even gonna bill insurance. And insurance only approved certain facilities and to get into those facilities is almost impossible. Um, and so, no, there are a lot of like get an MR, I now get a, you know, mammogram, get ghetto, whatever places. And because America’s healthcare system is a HealthScape, you can bypass insurance and they will charge you way less than whatever they bill insurance for. So I, I don’t know if it’s part of the country, you know, like Seattle I think might [00:05:00] probably would’ve been more expensive. But yeah, I was able to find this place like a mile from like, not even a mile from where my parents lived, um, that did the x-rays and the MRI for $450 total. Brett: I, I hate, I hate that. That’s true, but Christina: Me too. Me too. No, no. It pisses me off. Honestly, it makes me angry because like, I’m glad that I was able to do that and get it, you know, uh, uh, expedited. Then I go into the spine, um, guy earlier this week and he looks at it and he’s like, yep, you’ve got a massive bulging disc on, on C seven, which is the, the part of your lower cervical or cervical spine, which is your neck. Um, and it’s where it connects to your ver bray. It’s like, you know, there are a few things you can do. You can do, you know, injections, you can do surgery. He is like, I’m gonna recommend you to a neurosurgeon. And I go to the neurosurgeon yesterday and he was showing me or not, uh, yeah, yesterday he was showing me the, the, the, the scans and, and showing like you up close and it’s, yeah, it’s pretty massive. Like where, where, where the disc is like it is. You could see it just from one view, like, just from like [00:06:00] looking at it like, kind of like outside, like you could actually like see like it was visible, but then when you zoomed in it’s like, oh shit, this, this thing is like massive and it’s pressing on these nerves that then go into my, my hands and other areas. But it’s pressing on both sides. It’s primarily on my left side, but it’s pressing on on my right side too, which is not good. So, um, he basically was like, okay. He was like, you know, this could go away. He was like, the pain isn’t really what I’m wanting to, to treat here. It’s, it’s the, the weakness because my, my left arm is incredibly weak. Like when they do like the, the test where like they, they push back on you to see like, okay, like how, how much can you, what, like, I am, I’m almost immediately like, I can’t hold anything back. Right? Like I’m, I’m, I’m like a toddler in terms of my strength. So, and, and then I’m freaked out because I don’t have a lot of feeling in my hands and, and that’s terrifying. Um, I’m also. Jeff: so terrifying, Christina: I’m, I’m also like in extreme pain because of, of, of where this sits. Like I can’t sleep well. Like [00:07:00] the whole thing sucks. Like the MRI, which was was like the most painful, like 25 minutes, like of my existence. ’cause I was laying flat on my back. I’m not allowed to move and I’m just like, I’m in just incredible pain with that part of, of, of, of my, my side. Like, it, it was. It was terrible. Um, but, uh, but he was like, yeah. Um, these are the sorts of surgical options we have. Um, he’s gonna, um, do basically what what he wants to do is basically do a thing where he would put in a, um, an artificial or, or synthetic disc. So they’re gonna remove the disc, put in a synthetic one. They’ll go in through the, the front of my throat to access the, my, my, my, my spine. Um, put that there and, um, you know, I’ll, I’ll be overnight in the hospital. Um, and then it’ll be a few weeks of recovery and the, the, the pain should go away immediately. Um, but it, it could be up to two years before I get full, you know, feeling back in my arm. So anyway, Jeff: years, Jesus. And Christina: I mean, and hopefully less than that, but, but it could be [00:08:00] up to that. Jeff: there’s no part of this at this point. That’s a mystery to you, right? Christina: The mystery is, I don’t know how this happened. Jeff: You don’t know how it happened, right? Of course. Yeah, of course. Yeah. Yeah. Brett: So tell, tell us about the ghastly surgery. The, the throat thing really threw me like, I can’t imagine that Christina: yeah, yeah. So, well, ’cause the thing is, is that usually if what they just do, like spinal fusion, they’ll go in at the back of your neck, um, and then they’ll remove the, the, um, the, the, the, the disc. And then they’ll fuse your, your, your two bones together. Basically. They’ll, they’ll, they’ll, they’ll fuse this part of the vertebrae, but because they’re going to be replacing the, the disc, they need more room. So that’s why they have to go in through the, through, through basically your throat so that they can have more room to work. Jeff: Good lord. No thank you. Brett: Ugh. Wow. Jeff: Okay. Brett: I am really sorry that is happening. That is, that is, that dwarfs my health concerns. That is just constant pain [00:09:00] and, and it would be really scary. Christina: Yeah. Yeah. It’s not great. It’s not great, but I’m, I’m, I’m doing what I can and, uh, like I have, you know, a small amount of, of Oxycodine and I have like a, a, a, you know, some other pain medication and I’m taking the gabapentin and like, that’s helpful. The bad part is like your body, like every 12, 15 hours, like whatever, like the, the, the cycle is like, you feel it leave your system and like if you’re asleep, you wake up, right? Like, it’s one of those things, like, you immediately feel it, like when it leaves your system. And I’ve never had to do anything for pain management before. And they have me on a very, they have me like on the smallest amount of like, oxycodone you can be on. Um, and I’m using it sparingly because I don’t wanna, you know, be reliant on, on it or whatever. But it, it, but it is one of those things where I’m like, yeah, like sometimes you need fucking opiates because, you know, the pain is like so constant. And the thing is like, what sucks is that it’s not always the same type of pain. Like sometimes it’s throbbing, sometimes it’s sharp, sometimes it’s like whatever. It sucks. But the hardest thing [00:10:00] is like, and. This does impact my mental health. Like it’s hard to sleep. Like, and I’m a side sleeper. I’m a side sleeper, and I’m gonna have to become a back sleeper. So, you know. Yeah. It’s just, it’s, it’s not great. It’s not great, but, you know, that, that, that, that, that’s me. The, the good news is, and I’m very, very gratified, like I have a good surgeon. Um, I’m gonna be able to get in to get this done relatively quickly. He had an appointment for next week. I don’t think that insurance would’ve even been able to approve things fast enough for, for, for that regard. And I have, um, commitments that I can’t make then. And I, and that would also mean that I wouldn’t be able to go visit my family for Christmas. So hopefully I’ll do it right after Christmas. I’m just gonna wait, you know, for, for insurance to, to do its thing, knock on wood, and then schedule, um, from there. But yeah, Jeff: Woof. Christina: so that’s me. Um, uh, who wants to go next? Jeff or, uh, Jeff or Brett? Jeff: It’s like, that’s me. Hot potato throwing it. Brett: I’ll, I’ll go. Brett’s Insurance Woes Brett: I can continue on the insurance topic. Um, I was, for a few months [00:11:00] after getting laid off, I was on Minsu, which is Minnesota’s Medicaid, um, v version of Medicaid. And so basically I paid nothing and I had better insurance than I usually have with, uh, you know, a full deductible and premiums and everything. And it was fantastic. I was getting all the care I needed for all of the health stuff I’m going through. Um, I, they, a, a new doctor I found, ordered the 15 tests and I passed out ’cause it was so much blood and. And it, I was getting, but I was getting all these tests run. I was getting results, we were discovering things. And then my unemployment checks, the income from unemployment went like $300 over the cap for Medicaid. So [00:12:00] all of a sudden, overnight I was cut from Medicaid and I had to do an early sign up, and now I’m on courts and it sucks bad. Like they’re not covering my meds. Last month cost me $600. I was also paying. In addition to that, a $300 premium plus every doctor’s visit is 50 bucks out of pocket. So this will hopefully only last until January, and then it’ll flip over and I will be able to demonstrate basically no income, um, until like Mark makes enough money that it gets reported. Um, and even, uh, until then, like I literally am making under the, the poverty limit. So, um, I hope to be back on Medicaid shortly. I have one more month. I’ll have to pay my $600 to refill. I [00:13:00] cashed out my 401k. Um, like things were, everything was up high enough that I had made, I. I had made tens of thousands of dollars just on the investments and the 401k, but I also have a lot of concerns about the market volatility around Nvidia and the AI bubble in general. Um, so taking my money out of the market just felt okay to me. I paid the 10%, uh, penalty Jeff: Mm-hmm. Brett: and ultimately I, I came out with enough cash that I can invest on my own and be able to cover the next six months. Uh, if I don’t have any other income, which I hope to, I hope to not spend my nest egg. Um, but I did, I did a lot of thinking and calculating and I think I made the right choices. But anyway, [00:14:00] that will help if I have to pay for medical stuff that will help. Um. And then I’ve had insomnia, bad on and off. Right now I’m coming off of two days of good sleep. You’re catching me on a good day. Um, but Jeff: Still wouldn’t laugh at my jokes. Brett: before that it was, well, that’s the thing is like before that, it was four nights where I slept two to four hours per night, and by the end of it, I could barely walk. And so two nights of sleep after a stint like that, like, I’m just super, I’m deadpan, I’m dazed. Um, I could lay down and fall asleep at any time. Um, I, so, so keep me awake. Um, but yeah, that’s, that’s, that’s me. Mental health is good. Like I’m in pretty high spirits considering all this, like financial stuff and everything. Like my mood has been pretty stable. I’ve been getting a lot of coding done. I’ll tell you about projects in [00:15:00] a minute, but, um, but that’s, that’s me. I’m done. Jeff: Awesome. I’m enjoying watching your cat roll around, but clearly cannot decide to lay down at this point. Brett: No, nobody is very persnickety. Jeff: I literally have to put my. Well, you say put a cat down like you used to. When you put a kid down for a nap, you say you wanna put ’em down. Right? That’s where it’s coming from. I now have a chair next to my desk, ’cause I have one cat that walks around Yowling at about 11:00 AM while I’m working. And I have to like, put ’em down for a nap. It’s pathetic. It’s pathetic that I do that. Let’s just be clear. Brett: Yeah. Jeff: soulmate though. Jeff’s Mental Health Update Jeff: Um, I’m doing good. I’m, I’m, I’ve been feeling kind of light lately in a nice way. I’ve had ups and downs, but even with the ups and downs, there’s like a, except for one day last week was, there’s just been feeling kind of good in general, which is remarkable in a way. ’cause it’s just like stressful time. There’s some stressful business stuff, like, [00:16:00] a lot of stuff like that. But I’m feeling good and, and just like, uh, yeah, just light. I don’t know, it’s weird. Like, I’ve just been noticing that I feel kind of light and, uh. And not, not manic, not high light. Brett: Yeah. No, that’s Jeff: uh, and that’s, that’s lovely. So yeah. And so I’m doing good. I’m doing good. I fucking, it’s cold. Which sucks ’cause it just means for everybody that’s heard about my workshop over the years, that I can’t really go out there and have it be pleasant Brett: It’s, it’s been Minnesota thus far. Has had, we’ve had like one, one Sub-Zero day. Jeff: whatever. It’s fucking cold. Christina: Yeah. What one? Brett? Brett. It’s December 6th as we’re recording this one Sub-Zero day. That’s insane. Brett: Is it Jeff: Granted, granted I’ve been dressing warm, so I’m ready to go out the door for ice related things. Meaning, meaning government, ice, Brett: Uh, yeah. Yeah. Jeff: So I like wear my long underwear during [00:17:00] the day. ’cause actually like recently. So at my son’s school, which is like six blocks from here, um, has a lot of Somali immigrants in it. And, and uh, and there was a, at one point there was ice activity in the other direction, um, uh, uh, near me. And so neighbors put out a call here around so that at dismissal time people would pair up at all the intersections surrounding the school. And, um, and like a quick signal group popped up, whatever. It was so amazing because like we all just popped out there. And by the time I got out, uh, everyone was already like, posted up and I was like, I’m a, in these situations, I am a wanderer. You want me roaming? I don’t want to pair up with somebody I don’t like, I just, I grabbed a camera with a Zoom on it and like, I was like, I’m in roam. Um, it’s what I was as an activist, what I was as a reporter, like it’s just my nature. Um, but like. Everybody was out and like, and they were just like, they were ready man. And then we got like the all clear and you could just see people in the [00:18:00] neighborhood just like standing down and going home. But because of the true threat and the ongoing arrests here, now that the Minneapolis stuff has started, like I do, I was like wearing long underwear just, and I have a little bag by the door ready to like pop out if something comes up and I can be helpful. Um, and uh, and I guess what I’m saying is I should use that to go into the garage as well if I’m already prepared. Brett: Right. Jeff: But here’s, okay, so here’s a mental health thing actually. So I, one of the, I’ve gone through a few years of just sort of a little bit of paralysis around being able to just, I don’t know what, like do anything that is kind of project related that takes some thinking, whatever it is, like I’m talking about around the house or things that have kind of broken over the years, whatever. So I’ve had this snowblower and it’s a really good snowblower. It’s got headlights. And, uh, and I used to love snow blowing the entire block. Like it just made me feel good, made me feel useful. Um, and sorry I cough. I left it outside for a [00:19:00] year for a, like a winter and a spring and water got into the gas tank. It rusted out in there. I knew I couldn’t start it or I’d ruin the whole damn engine. So I left it for two years and I felt bad about myself. But this year, just like probably a month before the first big snowfall, I fucking replaced a gas tank and a carburetor on a machine. And I have never done anything like that in my life. And so then we got the snowfall and I, and I snow blowed this whole block Brett: Nice. Jeff: great. ’cause now they all owe me. Brett: I, uh, I have a, uh, so I have a little electric powered, uh, snowblower that can handle like two inches of snow. Um, and, and on big snowfalls, if you get out there every hour and keep up with it, it, it works. But, but I, my back right now, I can’t stand for, I can’t stand still for 10 minutes and I can’t move for more than like five minutes. And so I’m, I’m very disabled and El has good days and bad days, uh, thus [00:20:00] far. L’s been out there with a shovel, um, really being the hero. But we have a next door neighbor with a big gas powered snowblower. And so we went over, brought them gifts, and, um, asked if they would take care of our driveway on days we couldn’t, uh, for like, you know, we’d pay ’em 25 bucks to do the driveway. And, uh, and they were, he was still reluctant to accept money. Um. But, but we both agreed it was better to like make it a, a transaction. Jeff: Oh my God. You don’t want to get into weird Minnesota neighbor relational. Brett: right. You don’t want the you owe me thing. Um, so, so we have that set up. But in the process we made really good friends with our neighbor. Like we sat down in their living room for I think 45 minutes and just like talked about health and politics and it was, it was really fun. They’re, they’re retired. They’re in their [00:21:00] seventies and like act, he always looks super grumpy. I always thought he was a mean old man. He’s actually, he laughs more easily than most people I’ve ever met. Um, he’s actually, when people say, oh, he is actually a teddy bear, this guy really is, he’s just jovial. Uh, he just has resting angry old man face. Jeff: Or like my, I have public mis throat face, like when I’m out and about, especially when I’m shopping, I know that my face is, I’m gonna fucking kill you if you look me in the eye Brett: I used Jeff: is not my general disposition. Brett: people used to tell me that about myself, but I feel like I, I carry myself differently these days than I did when I was younger. Jeff: You know what I learned? Do you, have you both watched Veep, Christina: Yes, Jeff: you know, Richard sp split, right? Um, and, and he always kind of has this sweet like half smile and he is kind of looking up and I, I figured out at one point I was in an airport, which is where my kill everybody face especially comes up. Just to be clear. TSA, it’s just a feeling inside. I [00:22:00] have no desire to act to this out. I realized that if I make the Richard Plet face, which I can try to make for you now, which is something like if I just make the Richard Plet face, my whole disposition Brett: yeah. Yeah. Jeff: uh, and I even feel a little better. And so I just wanna recommend that to people. Look up Richard Spt, look at his face. Christina: Hey, future President Bridges split. Jeff: future President Richard Splat, also excellent in the Detroiters. Um, that’s all, uh, that’s all I wanted to say about that. Brett: I have found that like when I’m texting with someone, if I start to get frustrated, you know, you know that point where you’re still adding smiley emoticons even though you’re actually not, you’re actually getting pissed off, but you don’t wanna sound super bitchy about it, so you’re adding smile. I have found that when I add a smiley emoji in those circumstances, if I actually smile before I send it, it like my [00:23:00] mood will adjust to match, to match the tone I’m trying to convey, and it lessens my frustration with the other person. Jeff: a little joy wrist rocket. Christina: Yeah. Hey, I mean, no, but hey, but, but that, that, that, that, that’s interesting. I mean, they’re, they, they’ve done studies that like show that, right? That like show like, you know, I mean, like, some of this is all like bullshit to a certain extent, but there is something to be said for like, you know, like the power of like positive thinking and like, you know, if you go into things with like, different types of attitudes or even like, even if you like, go into job interviews or other situations, like you act confident or you smile, or you act happy or whatever. Even if you’re not like it, the, the, the, the euphoria, you know, that those sorts of uh, um, endorphin reactions or whatever can be real. So that’s interesting. Brett: Yeah, I found, I found going into job interviews with my usual sarcastic and bitter, um, kind of mindset, Jeff: I already hate this job. Brett: it doesn’t play well. It doesn’t play well. So what are your weaknesses? Fuck off. Um,[00:24:00] Christina: right. Well, well, well, I hate people. Jeff: Yeah. Dealing with motherfuckers like you, that’s one weakness. Sponsor Spot: Shopify Brett: let’s, uh, let’s do a sponsor spot and then I want to hear about Christina winning a contest. Christina: yes. Jeff: very Brett: wanna, you wanna take it away? Sponsor: Shopify Jeff: I will, um, our sponsor this week is Shopify. Um, have you ever, have you just been dreaming of owning your own business? Is that why you can’t sleep? In addition to having something to sell, you need a website. And I’ll tell you what, that’s been true for a long time. You need a payment system, you need a logo, you need a way to advertise new customers. It can all be overwhelming and confusing, but that is where today’s sponsor, Shopify comes in. shopify is the commerce platform behind millions of businesses around the world and 10% of all e-commerce in the US from household names like Mattel and Gym Shark to brands just getting started. Get started with your own design studio with hundreds of ready to use [00:25:00] templates. 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That was Jeff: Yeah. Cha-ching Brett: they got the chorus, they got the Overtired Christina: You did. You got the Overtired Jeff: They didn’t think to ask for it, but that’s our brand. Christina: shopify.com/ Overtired. Jeff Tweedy Jeff: What was, uh, I was watching a Stephen Colbert interview with Jeff Tweedy, who just put out a triple album and, uh, it was a very thoughtful, sweet interview. And then Stephen Colbert said, you know, you’re not supposed to do this. And Jeff Tweety said, it’s all part of my career long effort to leave the public wanting less. Christina: Ha, Jeff: That was a great bit. Christina: that’s a fantastic bit. A side note, there are a couple of really good NPR, um, uh, tiny desks that have come out in the last couple of month, uh, couple of weeks. Um, uh, one is shockingly, I, I’ll, I’ll just be a a, a fucking boomer about it. The Googo dolls. Theirs was [00:27:00] great. It’s fantastic. They did a great job. It already has like millions of views, like it wrecked up like over a million views, I think like in like, like less than 24 hours. They did a great job, but, uh, but Brandy Carlisle, uh, did one, um, the other day and hers is really, really good too. So, um, so yeah. Yeah, exactly. So yeah. Anyway, you said, you saying Jeff pd maybe, I don’t know how I got from Wilco to like, you know, there, Jeff: Yeah. Well, they’ve done some good, he’s done his own good Christina: he has, he has done his own. Good, good. That’s honestly, that’s probably what I was thinking of, but Jeff: It’s my favorite Jeff besides me because Bezos, he’s not in the, he’s not in the game. Christina: No. No, he’s not. No. Um, he, he’s, he’s not on the Christmas card list at all. Jeff: Oh man. Jeff’s Concert Marathon Jeff: Can I just tell you guys that I did something, um, I did something crazy a couple weeks ago and I went to three shows in one week, like I was 20 fucking two, Brett: Good grief. Jeff: and. It was a blast. So, okay, so the background of this is my oldest son [00:28:00] loves hip hop, and when we drive him to college and back, or when I do, it’s often just me. Um, he, he goes deep and he, it’s a lot of like, kind of indie hip hop and a lot. It’s just an interesting, he listens to interesting shit, but he will go deep and he’ll just like, give me a tour through someone’s discography or through all their features somewhere, whatever it is. And like, it’s the kind of input that I love, which is just like, I don’t, even if it’s not my genre, like if you’re passionate and you can just weave me through the interrelationship and the history and whatever it is I’m in. So as a result of that, made me a huge fan of Danny Brown and made me a huge fan of the sky, Billy Woods. And so what happened was I went to a hip hop show at the seventh Street entry, uh, which is attached to First Avenue. It’s a little club, very small, lovely little place, the only place my band could sell out. Um, and I watched a hip hop show there on a Monday night, Tuesday night. I went to the Uptown Theater, which Brett is now a actually an operating [00:29:00] theater for shows. Uh, and I, and I saw Danny Brown, but I also saw two hyper pop bands, a genre I was not previously aware of, including one, which was amazing, called Fem Tenal. And I was in line to get into that show behind furries, behind trans Kids. Like it was this, I was the weirdest, like I did not belong. Underscores played, and, and this will mean something to somebody out there, but not, didn’t mean anything to me until that night. And, uh. I felt like such, there were times, not during Danny Brown, Danny Brown’s my age all good. But like there were times where I was in the crowd ’cause I’m tall. Anybody that doesn’t know I’m very tall and I’m wearing like a not very comfortable or safe guy seeming outfit, a black hoodie, a black stocking cap. Like I basically looked like I’m possibly a shooter and, and I’m like standing among all these young people loving it, but feeling a little like, should I go to the back? Even like I was leaving that show [00:30:00] and the only people my age were people’s parents that were waiting to pick them up on the way out. So anyway, that was night two. Danny Brown was awesome. And then two nights later I went to see, this is way more my speed, a band called the Dazzling Kilman who were a band that. Came out in the nineties, St. Louis and a noisy Matthew Rock. Wikipedia claims they invented math rock. It’s a really stupid claim, uh, but it’s a lovely, interesting band and it’s a friend of mine named Nick Sakes, who’s who fronted that band and was in all these great bands back when I was in bands called Colos Mite and Sick Bay, and all this is great shit. So they played a reunion show. In this tiny punk rock club here called Cloudland, just a lovely little punk rock club. And, um, and, and that was like rounded out my week. So like, I was definitely, uh, a tourist the early part of the week, mostly at the Danny Brown Show. But then I like got to come home to my noisy punk rock [00:31:00] on, uh, on Thursday night. And I, I fucking did three shows and it hurt so bad. Like even by the first of three bands on the second night. I was like, I don’t think I can make it. And I do. I already pregame shows with ibuprofen. Just to be really clear, I microdose glucose tabs at shows like, like I am, I am a full on old man doing these things. But, um, I did get some cred with my kids for being at a hyper pop show all by myself. And, Christina: Hell yeah. A a Jeff: friends seemed impressed. Christina: no, as a as, as as they should be. I’m impressed. And like, and I, I, I typically like, I definitely go to like more of like, I go, I go to shows more frequently and, and I’m, I’m even like, I’m, I’m gonna be real with you. I’m like, yeah, three in one week. Jeff: That’s a lot. Christina: That’s a lot. That’s a lot. Jeff: man. Did I feel good when I walked home from that last show though? I was like, I fucking did it. I did not believe I wasn’t gonna bail on at least two of those shows, if not all three. Anyway, just wanted to say Brett: I [00:32:00] do like one show a year, but Jeff: that’s how I’ve been for years this year. I think I’ve seen eight shows. Brett: damn. Jeff: Yeah, it’s Brett: Alright, so you’ve been teasing us about this, this contest you won. Jeff: Yeah, please, Christina. Sorry to push that off. Christina: No, no, no, no. That’s, that’s completely okay. That, that, that, that’s great. Uh, no. Christina Wins Big Christina: So, um, I won two six K monitors. Brett: Damn. Jeff: is that what those boxes are behind you? Christina: Yeah, yeah. This is what the boxes are behind me, so I haven’t been able to get them up because this happened. I got them literally right in the midst of all this stuff with my back. Um, but I do have an Ergotron poll now that is here, and, and Grant has said that he will, will get them up. But yeah, so I won 2 32 inch six K monitors from a Reddit contest. Brett: How, how, how, Jeff: How does this happen? How do I find a Reddit contest? Christina: Yeah. So I got lucky. So I have, I, I have a clearly, well, well, um, there was a little, there was a little bit of like, other step to it than that, but like, uh, so how it worked was basically, um, LG is basically just put out [00:33:00] two, they put out a new 32 inch six K monitor. I’ll have it linked in, in, in the show notes. Um, so we’ve talked about this on this podcast before, but like one of my big, like. Pet peeve, like things that I can’t get past. It’s like I need like a retina screen. Like I need like the, the perfect pixel doubling thing for that the Mac Os deals with, because I’ve used a 5K screen, either through an iMac or um, an lg, um, ultra fine or, um, a, uh, studio display. For like 11 years. And, and I, and I’ve been using retina displays on laptops even longer than that. And so if I use like a regular 4K display, like it just, it, it doesn’t work for me. Um, you can use apps like, um, like better control and other things to kind of emulate, like what would be like if you doubled the resolution, then it, it down, you know, um, of samples that, so that. It looks better than, than if it’s just like the, the, the 4K stuff where in the, the user interface things are too big and whatnot. And to be clear, this is a Macco West problem. If [00:34:00] you are using Windows or Linux or any other operating system that does fractional scaling, um, correctly, then this is not a problem. But Macco West does not do fractional scaling direct, uh, correctly. Um, weirdly iOS can, like, they can do three X resolution and other things. Um, but, but, but Macs does not. And that’s weird because some of the native resolutions on some of the MacBook errors are not even perfectly pixeled doubled, meaning Apple is already having to do a certain amount of like resolution changes to, to fit into their own, created by their, their own hubris, like way of insisting on, on only having like, like two x pixel doubling 18 years ago, we could have had independent, uh, resolutions, uh, um, for, for UI elements and, and, and window bars. But anyway, I, I’m, I’m digressing anyway. I was looking at trying to get either a second, uh, studio display, which I don’t wanna do because Apple’s reportedly going to be putting out a new one. Um, and they’re expensive or getting, um, there are now a number of different six K [00:35:00] displays that are not $6,000 that are on the market. So, um, uh, uh, Asus has one, um, there is one from like a, a Chinese company called like, or Q Con that, um, looks like a, a complete copy of this, of the pro display XDR. It has a different panel, but it’s, it’s six K and they, they’ve copied the whole design and it’s aluminum and it’s glossy and it looks great, but I’d have to like get it from like. A weird distributor, and if I have any issues with it, I don’t really wanna have to send it back to China and whatnot. And then LG has one that they just put out. And so I’ve been researching these on, on Mac rumors and on some other forums. And, um, I, uh, I, somebody in one of the Mac Roomers forums like posted that there was like a contest that LG was running in a few different subreddits where they were like, tell us why you should get one of, like, we’re gonna be giving away like either one or two monitors, and I guess they did this in a few subreddits. Tell us why this would be good for your workflow. And, um, I guess I, I guess I’m one of the people who kind of read the [00:36:00] assignment because it, okay, I’ll just be honest with this, with, with you guys on this podcast, uh, because I, I don’t think anyone from LG will hear this and my answers were accurate anyway. But anyway, this was not the sort of contest where it was like we will randomly select a winner. This was the moderators and lg, were going to read the responses and choose the winner. Jeff: Got it. Christina: So if you spend a little bit of time and thoughtfully write out a response, maybe you stand a better chance of winning the contest. Jeff: yeah, yeah. Put the work in like it was 2002. Christina: Right. Anyway, I still was shocked when I like woke up like on like Halloween and they were like, congratulations, you’ve won two monitors. I’m like, I’m sorry. What? Jeff: That’s amazing. Christina: Yeah, yeah, yeah, Jeff: Nice work. I know I’ve, you know, I’ve been staring at those boxes behind you this whole time, just being like, those look like some sweet monitors. Christina: yeah, yeah. Monitor Setup Challenges Christina: I mean, and, uh, [00:37:00] uh, it’s, it’s, it’s, it’s, it’s, and I, I’m very much, so my, my, my only issue is, okay, how am I gonna get these on my desk? So I’m gonna have to do something with my iMac and I’m probably gonna have to get rid of my, my my, my 5K, um, uh, uh, studio display, at least in the short term. Ergotron Mounts and Tall Poles Christina: Um, but what I did do is I, um, I ordered from, um, Ergotron, ’cause I already have. Um, two of their, um, LX mounts, um, or, or, or, or arms. Um, and only one of them is being used right now. And then I have a different arm that I use for the, um, um, iMac. Um, they sell like a, if you call ’em directly, you can get them to send you a tall pole so that you can put the two arms on top of them. And that way I think I can like, have them so that I can have like one pole and then like have one on one side, one Jeff: I have a tall pole. Christina: and, and yeah, that’s what she said. Um, Jeff: as soon as I said it, I was like, for fuck’s sake. But Christina: um, but, uh, but, but yeah, but so that way I think I, I can, I, in theory, I can stack the market and have ’em side by side. I don’t know. Um, I got that. I, I had to call Tron and, and order that from them. [00:38:00] Um, it was only a hundred dollars for, for the poll and then $50 for a handling fee. Jeff: It’s not easy to ship a tall pole. Brett: That’s what she said. Christina: that is what she said. Uh, that is exactly what she said. But yeah, so I, I, the, the, the unfortunate thing is that, um, I, um, I, I had to, uh, get a, like all these, they, they came in literally right before Thanksgiving, and then I’ve had, like, all my back stuff has Jeff: Yeah, no Christina: debilitating, but I’m looking forward to, um, getting them set up and used. And, uh, yeah. Review Plans and Honest Assessments Christina: And then full review will be coming to, uh, to, I have to post a review on Reddit, but then I will also be doing a more in depth review, uh, on this podcast if anybody’s interested in, in other places too, to like, let let you know, like if it’s worth your money or not. Um, ’cause there, like I said, there are, there are a few other options out there. So it’s not one of those things where like, you know, um, like, thank you very much for the free monitor, um, monitors. But, but I, I will, I will give like the, the, you know, an honest assessment or Current Display Setup Brett: So [00:39:00] do you currently have a two display setup? Christina: No. Um, well, yes, and kind of, so I have my, my, I have my 5K studio display, and then I have like my iMac that I use as a two to display setup. But then otherwise, what I’ve had to do, and this is actually part of why I’m looking forward to this, is I have a 4K 27 inch monitor, but it’s garbage. And it, it’s one of those things where I don’t wanna use it with my Mac. And so I wind up only using it with my, with my Windows machine, with my framework desktop, um, with my Windows or Linux machine. And, and because that, even though I, it supports Thunderbolt, the Apple display is pain in the ass to use with those things. It doesn’t have the KVM built in. Like, it doesn’t like it, it just, it’s not good for that situation. So yeah, this will be of this size. I mean, again, like I, I, I’m 2 32 inch monitors. I don’t know how I’m gonna deal with that on my Jeff: I Brett: yeah. So right now I’m looking at 2 32 inch like UHD monitors, Christina: Yeah,[00:40:00] Brett: I will say that on days when my neck hurts, it sucks. It’s a, it’s too wide a range to, to like pan back and forth quickly. Like I’ll throw my back out, like trying to keep track of stuff. Um, but I have found that like if I keep the second display, just like maybe social media apps is the way I usually set it up. And then I only work on one. I tried buying an extra wide curve display, hated it. Jeff: Uh, I’ve always wanted to try one, but Christina: I don’t like them. Jeff: Yeah. Christina: Well, for me, well for me it’s two things. One, it’s the, I don’t love the whole like, you know, thing or whatever, but the big thing honestly there, if you could give me, ’cause people are like, oh, you can get a really big 5K, 2K display. I’m like, that’s not a 5K display. That is 2 27 inch, 1440 P displays. One, you know, ultra wide, which is great. Good for you. That’s not retina. And I’m a sicko Who [00:41:00] needs the, the pixel doubling? Like I wish that my eyes could not use that, but, but, but, Jeff: that needs the pixel. Like was that the headline of your Reddit, uh, Christina: no, no. It wasn’t, it wasn’t. But, but maybe it should be. Hi, I’m a sicko who only, um, fucks with, with, with, with, with, with, with retina displays. Ask me anything. Um, but no, but that’s a good point. Brett: I think 5K Psycho is the Christina: 5K Sicko is the po is the po title. I like that. I like that. No, what I’m thinking about doing and that’s great to know, Brett. Um, this kind of reaffirms my thing. Thunderbolt KVM and Display Preferences Christina: So what’s nice about these monitors is that they come with like, built in like, um, Thunderbolt 5K VM. So, which is nice. So you could conceivably have multiple, you know, computers, uh, connected, you know, to to, to one monitor, which I really like. Um, I mean like, ’cause like look, I, I’ve bitched and moaned about the studio display, um, primarily for the price, but at the same time, if mine broke tomorrow and if I didn’t have any way to replace it, I’ve, I’ve also gone on record saying I would buy a new one immediately. As mad as I am about a [00:42:00] lot of different things with that, that the built-in webcam is garbage. The, you know, the, the fact that there’s not a power button is garbage. The fact that you can’t use it with multiple inputs, it’s garbage. But it’s a really good display and it’s what I’m used to. Um, it’s really not any better than my LG Ultra fine from 2016. But you know what? Whatever it is, what it is. Um. I, I am a 5K sicko, but being able to, um, connect my, my personal machine and my work machine at the same time to one, and then have my Windows slash Linux computer connected to another, I think that’s gonna be the scenario where I’m in. So I’m not gonna necessarily be in a place where I’m like, okay, I need to try to look at both of them across 2 32 inch displays. ’cause I think that that, like, that would be awesome. But I feel like that’s too much. Brett: I would love a decent like Thunderbolt KVM setup that could actually swap like my hubs back and Christina: Yes. MacBook Pro and Studio Comparisons Brett: Um, so, ’cause I, I have a studio and I have my, uh, Infor MacBook Pro [00:43:00] and I actually work mostly on the MacBook Pro. Um, but if I could easily dock it and switch everything on my desk over to it, I would, I would work in my office more often. ’cause honestly, the M four MacBook Pro is, it’s a better machine than the original studio was. Um, and I haven’t upgraded my studio to the latest, but, um, I imagine the new one is top notch. Christina: Oh yeah. Yeah. Brett: my, my other one, a couple years old now is already long in the tooth. Christina: No, I mean, they’re still good. I mean, it’s funny, I saw that some YouTube video the other day where they were like, the best value MacBook you can get is basically a 4-year-old M1 max. And I was like, I don’t know about that guys. Like, I, I kind of disagree a little bit. Um, but the M1 max, which is I think is what is in the studio, is still a really, really good ship. But to your point, like they’ve made those, um. You know, the, the, the new ones are still so good. Like, I have an M three max as my personal laptop, and [00:44:00] that’s kind of like the dog chip in the, in the m um, series lineup. So I kind of am regretful for spending six grand on that one, but it is what it is, and I’m like, I’m not, I’m not upgrading. Um, I mean, maybe, maybe in, in next year if, if the M five Pro, uh, or M five max or whatever is, is really exceptional, maybe I’ll look at, okay, how much will you give me to, to trade it in? But even then, I, I, but I feel like I’m at that point where I’m like, it gets to a point where like it’s diminishing returns. Um, but, uh, just in terms of my own budget. But, um, yeah, the, the new just info like pro or or max, whatever, Brett: I have, I have an M four MacBook Pro sitting around that I keep forgetting to sell. Uh, it’s the one that I, it only had a 256 gigabyte hard drive, Jeff: what happened to me when I bought my M1, Brett: and I, and I regretted that enough that I just ordered another one. But, uh, for various reasons, I couldn’t just return the one I didn’t Jeff: ’cause it was.[00:45:00] Brett: so now I, now I have to sell it and I should sell it while it’s still a top of the line machine Christina: Sell it before, sell, sell, sell, sell it before next month, um, or, or February or whenever they sell it before then the, the pros come out. ’cause right now the M five base is out, but the pros are not. So I think feel like you could still get most of your value for it, especially since it has very few battery cycles. Be sure to put the battery cycles on your Facebook marketplace or eBay thing or whatever. Um, I bought my, uh, she won’t listen to this so she won’t know, but, um, they, there was a, a killer Cyber Monday deal, uh, for Best Buy where they had like a, the, the, the, so it’s several years old, but it was the, the M two MacBook Air, but the one that they upgraded to 16 gigs of Ram when Apple was like, oh, we have to have Apple Intelligence and everything, because they actually thought that they were actually gonna ship Apple Intelligence. So they like went back and they, like, they, they, you know, retconned like made the base model MacBook Air, like 16 [00:46:00] gigs. Um, and, uh, anyway, it was, it was $600, um, Jeff: still crazy. Christina: which, which like even for like a, a, a 2-year-old machine or whatever, I was like, yeah, she, my sister, I think she’s on like, like a 2014 or older than that. Like, like MacBook Air. She doesn’t even know where the MagSafe is. I don’t think she even knows where the laptop is. So she’s basically doing everything like on her phone and I’m like, okay, you need a laptop of some type, but at this point. I do feel strongly that like the, the, the $600 or, or, or actually I think it was $650, it was actually less, it is actually more expensive than what the, the, the Cyber Monday sale was, um, the M1, Walmart, MacBook Air. I’m like, absolutely not like that is at this point, do not buy that. Right? Like, I, especially with eight gigs of ram, I’m, I’m like, it’s been, it’s five years old. It’s a, it was a great machine and it was great value for a long time. $200. Cool, right? Like, if you could get something like use and, and, and, and if you could replace the battery or, you know, [00:47:00] for, for, you know, not, not too much money or whatever. Like, I, I, I could see like an argument to be made like value, right? But there’d be no way in hell that I would ever spend or tell anybody else to spend $650 on that new, but $600 for an M two with Jeff: Now we’re talking. Christina: which has the redesign brand new. I’m like, okay. Spend $150 more and you could have got the M four, um, uh, MacBook Air, obviously all around Better Machine. But for my sister, she doesn’t need that, Jeff: What do we have to do to put your sister in this M two MacBook Christina: that, that, that, that, that, that’s exactly it. So I, I, I was, well, also, it was one of those things I was like, I think that she would rather me spend the money on toys for my nephew for Santa Claus than, than, uh, giving her like a, a processor upgrade. Um, Jeff: Claus isn’t real. Brett: Oh shit. Jeff: Gotcha. Every year I spoil it for somebody. This year it was Christina and Brett. Sorry guys. Brett: right. Well, can I tell you guys Jeff: Yeah. [00:48:00] Brett Software. Brett: two quick projects before we do Jeff: Hold on. You don’t have to be quick ’cause you could call it Brett: We’re already at 45 minutes and I want Jeff: What I’m saying, skip GrAPPtitude. This is it? Brett: okay. Christina: us about Mark. Tell us about your projects. Brett: So, so Mark three is, there’s a public, um, test flight beta link. Uh, if you go to marked app.com, not marked two app.com, uh, marked app.com. Uh, you, there’s a link in the, in the, at the top for Christina: Join beta. Mm-hmm. Brett: Um, and that is public and you can join it and you can send me feedback directly through email because, um, uh, uh, the feedback reporter sucks for test flight and you can’t attach files. And half the time they come through as anonymous feedback and I can’t even follow up on ’em. So email me. But, um, I’ll be announcing that on my blog soon-ish. Um, right now there’s like [00:49:00] maybe a couple dozen, um, testers and I, it’s nice and small and I’m solving the biggest bugs right away. Um, so that’s been, that’s been big. Like Mark, even since we last talked has added. Do you remember Jeff when Merlin was on and he wanted to. He wanted to be able to manage his styles, um, and disable built-in styles. There’s now a whole table based style manager where you Jeff: saw that. Brett: you can, you can reorder, including built-in styles. You can reorder, enable, disable, edit, duplicate. Um, it’s like a full, full fledged, um, style manager. And I just built a whole web app that is a style generator that gives you, um, automatic like rhythm calculations for your CSS and you can, you can control everything through like, uh, like UI fields instead of having to [00:50:00] write CSS. Uh, but you can also o open up a very, I’ve spent a lot of time on the code mirror CSS editor in the web app. Uh, so, and it’s got live preview as you edit in the code mirror field. Um, so that’s pretty cool. And that’s built into marts. So if you go to style, um, generate style, it’ll load up a, a style generator for you. Anyway, there’s, there’s a ton. I’m not gonna go into all the details, but, uh, anyone listening who uses markdown for anything, especially if you want ability to export to like Word and epub and advanced PDF export, um, join the beta. Let me know what you think. Uh, help me squash bugs. But the other thing, every time I push a beta for review before the new bug reports come in, I’ve been putting time into a tool. Markdown Processor: Apex Brett: I’m calling [00:51:00] Apex and um, I haven’t publicly announced this one yet, but I probably will by the time this podcast comes out. Jeff: I mean, doesn’t this count? Brett: It, it does. I’m saying like this, this might be a, you hear you heard it here first kind of thing, um, but if you go to github.com/tt sc slash apex, um, I built a, uh, pure C markdown processor that combines syntax from cram down GitHub flavored markdown, multi markdown maku, um, common mark. And basically you can write syntax from any of those processors, including all of their special features, um, and in one document, and then use Apex in its unified mode, and it’ll just figure out what. All of your syntax is supposed to do. Um, so you can take, you can port documents from one platform to another [00:52:00] without worrying about how they’re gonna render. Um, if I can get any kind of adoption with Apex, it could solve a lot of problems. Um, I built it because I want to make it the default processor in marked ’cause right now, you, you have to choose, you know, cram Christina: Which one? Brett: mark and, and choosing one means you lose something in order to gain something. Um, so I wanted to build a universal one that brought together everything. And I added cool features from some extensions of other languages, such as if you have two lists in a row, normally in markdown, it’s gonna concatenate those into one list. Now you can put a carrot on a line between the two lists and it’ll break it into two lists. I also added support for a. An extension to cram down that lets you put double uh, carrots inside a table cell and [00:53:00] create a row band. So like a cell that, that expands it, you rows but doesn’t expand the rest of the row. Um, so you can do cell spans and row spans and it has a relaxed table version where you don’t have to have an alignment row, which is, uh, sometimes we just wanna make quickly table. You make two lines. You put some pipes in. This will, if there’s no alignment row, it will generate a table with just a table body and table data cells in no header. It also allows footers, you can add a footer to a table by using equals in the separator line. Um, it, it’s, Jeff: This is very civilized, Brett: it is. Christina: is amazing, Brett: So where Common Mark is extremely strict about things, um, apex is extremely permissive. Jeff: also itty bitty things like talk about the call out boxes from like Brett: oh yeah, it, it can handle call out syntax from Obsidian and Bear and Xcode Playgrounds. [00:54:00] Um, and it incorporates all of Mark’s syntax for like file includes and even renders like auto scroll pauses that work in marked and some other teleprompter situations. Um, it uses file ude syntax from multi markdown, like, which is just like a curly brace and, uh, marked, which is, uh, left like a double left, uh, angle bracket and then different. Brackets to surround a file name and it handles IA writer file inclusion where you just type a forward slash and then the name of a file and it automatically detects if that file is an image or source code or markdown text, and it will import it accordingly. And if it’s a CSV file, it’ll generate a table from it automatically. It’s, it’s kind of nuts. I, it’s kind of nuts. I could not have done this [00:55:00] without copilot. I, I am very thankful for copilot because my C skills are not, would not on their own, have been up to this task. I know enough to bug debug, but yeah, a lot of these features I got a big hand from copilot on. Jeff: This is also Brett. This is some serious Brett Terpstra. TURPs Hard Christina: Yeah, it is. I was gonna say, this is like Jeff: and also that’s right. Also, if your grandma ever wrote you a note and it, and though you couldn’t really read it, it really well, that renders perfectly Christina: Amazing. No, I was gonna say this is like, okay, so Apex is like the perfect name ’cause this is the apex of Brett. Jeff: Yes. Apex of Brett. Christina: That’s also that, that’s, that’s not an alternate episode title Apex of Brett. Because genuinely No, Brett, like I am, I am so stunned and impressed. I mean, you all, you always impressed me like you are the most impressive like developer that I, that I’ve ever known. But you, this is incredible. And, and this, I, I love this [00:56:00] because as you said, like common Mark is incredibly strict. This is incredibly permissive. But this is great. ’cause there are those scenarios where you might have like, I wanna use one feature from one thing or one from another, or I wanna combine things in various ways, or I don’t wanna have to think about it, you know? Brett: I aals, I forgot to mention I aals inline attribute list, which is a crammed down feature that lets you put curly brackets after like a paragraph and then a colon and then say, dot call out inside the curly brackets. And then when it renders the markdown, it creates that paragraph and adds class equals call out to the paragraph. Um, and in, in Cramon you can apply these to everything from list items to list to block quotes. Like you can do ’em for spans. You could like have one after, uh, link syntax and just apply, say dot external to a link. So the IAL syntax can add IDs classes and uh, arbitrary [00:57:00] attributes to any element in your markdown when it renders to HTML. And, uh, and Apex has first class support for I aals. Was really, that was, that Christina: that was really hard, Brett: I wrote it because I wanted, I wanted multi markdown, uh, for my prose writing, but I really missed the als. Christina: Yes. Okay. Because see, I run into this sort of thing too, right? Because like, this is a problem like that. I mean, it’s a very niche problem, um, that, that, you know, people who listen to this podcast probably are more familiar with than other types of people. But like, when you have to choose your markdown processor, which as you said, like Brett, like that can be a problem. Like, like with, with using Mark or anything else, you’re like, what am I giving up? What do I have? And, and like for me, because I started using mul, you know, markdown, um, uh, largely because of you, um, I think I was using it, I knew about it before you, but largely because of, of, of you, like multi markdown has always been like kind of my, or was historically my flavor of choice. It has since shifted to being [00:58:00] GitHub, labor bird markdown. But that’s just because the industry has taken that on, right? But there were, you know, certain things like in like, you know, multi markdown that work a certain way. And then yeah, there are things in crammed down. There are things in these other things in like, this is just, this is awesome. This Brett: It is, the whole thing is built on top of C mark, GFM, which is GitHub’s port of common mark with the GitHub flavored markdown Christina: Right. Brett: Um, and I built, like, I kept that as a sub-module, totally clean, and built all of this as extensions on top of Cmar, GFM, which, you know, so it has full compatibility with GitHub and with Common Merck by out, like outta the box. And then everything else is built on top of that. So it, uh, it covers, it covers all the bases. You’ll love it Christina: I’m so excited. No, this is awesome. And I Brett: blazing fast. It can render, I have a complex document that, that uses all of its features and it can render it in [00:59:00] 0.006 seconds. Christina: that’s awesome. Jeff: Awesome. Christina: That’s so cool. No, this is great. And yeah, I, and I think that honestly, like this is the sort of thing like if, yeah, if you can eventually get this to like be like the engine that powers like mark three, like, that’ll be really slick, right? Because then like, yeah, okay, I can take one document and then just, you know, kind of, you know, wi with, with the, you know, ha have, have the compatibility mode where you’re like, okay, the unified mode or whatever yo

J Darrin Gross If you're willing, I'd like to ask you, Joe downs, what is the BIGGEST RISK?   Joe Downs To me, it's, I'll give you, I'll give you, all right, you just want the biggest I'm gonna go right to base. To me, it's change. It's sort of what I just alluded to, if we were, if, if we still thought, because we weren't out there interviewing and investigating other third party management companies. If we refuse to do all that and just head in the sand, we would probably start falling behind other storage facilities, other competitors, who are managing their facilities better than we are. And the reason for that is because of technology. And I alluded to that earlier, and so that's just a small example, but to me, the biggest reason is AI. The single biggest reason is of change. The biggest change agent is AI. So if we're not, and you might say, What does aI have to do with storage everything? Because AI has AI can infiltrate if you allow it and choose to. And I highly suggest you do every, every part of your business in life, AI can have an impact on positive or negative. So you have to be, not only aware, you have to be in tune. So I I worry about, if you're asked, what keeps me up at night? It's not, we're well insured from an insurance standpoint, right? You know, I think when you're in commercial real estate, there's always that lender risk of a covenant and loan doc somewhere, you know, whatever. But that doesn't keep me up at night. It's because even then you could, you can negotiate, and you got attorneys to work you out of it. To me, it's falling behind the AI curve. And because that will directly impact how we find customers, how we source deals and pro storage, I'm using it not only to source locations for properties better and faster than we can do on our own. I'm we're creating a GPT right now to market to the businesses, the 17,000 businesses in Greenville, South Carolina, that are within 10 miles of our facility, that's, I don't think we've gone vertical yet. The grounds cleared and and I think they're, they're getting ready for pad sites. Maybe they started pouring. I haven't seen an update in last in a week, but we've got to fill that facility. So how are we going to do that before all the small bay flex guys get get the word out that they're putting that they're available to receive your business? Well, we came up with an ingenious way to create a GPT that's a relocator. So a GPT is just anyone can create them. If you learn how to win on chat, GBT, it's GPT is it stands for generative now I freeze when I put myself in the spot. Now I'm freezing generative performance transformer. No pre trained generative, pre trained transformer. So it's really just an engine. It's the greatest employee that you could ever have, right? It doesn't need to sleep, eat, take breaks, anything. It does what you tell it to do, but that's the key. It does what you tell it to do. If you don't tell it to do, it won't do it. So we have created a GPT that we will put out in front of every business market, to all the businesses out there and say, Hey, if you're say, Hey, if you're looking for space, here is a here's a simple tool that's free. Put in your name of your business, where you are, where you'd like to be, square foot, square footage you need for space in the entire Greenville market area. It will then, because we'll program it, go out, go on, crexie, loop, net, loop, net, everything. It'll find all the space that's available that meets the criteria for Darrin gross to move his ABC, XYZ widget business, because he's got 1000 square feet now, and he needs 2000 or he's got 500 or no square feet, and he needs something, right? It'll return those results for you, and included in it will be our facility with all kinds of unit sizes. So there is an example of how we're using AI, not only source the location, but also source the customers that will fill the location, right? So and that if we, if I was asleep at the wheel with AI, wouldn't have any of that, maybe I'd be successful regardless. I don't know. Maybe, if, maybe the if you build it, they will come. Principle would happen. I don't know, but I'm not willing to risk it. I'm not willing to risk it with my investors money. So the to me, it's, I'm I'm harnessing the power of AI. It is absolutely incredible. It keeps me up at night for good reasons. And I told you before the show, because it's like a drug. It literally, you know the saying, If you dream it, you can make it happen, or wherever that cliche is. This is literally, AI literally makes it happen. It's just up to you to program it. So I'm excited about it, even though you asked me what's what's a risk, the risk is not staying up with not learning it, not immersing yourself in AI, because if you don't I know everything, I just said, sounds cool and and proactive, but if I'm not proactive, someone else will be, and they might be, and I don't care what you're doing, what business you're in, someone who's doing what I doing, I'm doing, is going to have a direct effect on your business, probably to the negative if you don't not only get ahead of the curve, but keep up. So to me, that's the biggest risk. It's kind of that standing still and not evolving. Joe@Belroseam.com https://selfstorageacademy.com/  

OpenAI has launched a code red.

Tell us what you think about this podcast!True understanding of God's Word comes only through the Holy Ghost, which opens our spiritual eyes and reveals the meaning behind Scripture. The anointing allows believers to grasp what God is teaching through His Word, beyond natural understanding. Find out more about how to understand God's word in this series!For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!True understanding of God's Word comes only through the Holy Ghost, which opens our spiritual eyes and reveals the meaning behind Scripture. The anointing allows believers to grasp what God is teaching through His Word, beyond natural understanding. Find out more about how to understand God's word in this series!For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!True understanding of God's Word comes only through the Holy Ghost, which opens our spiritual eyes and reveals the meaning behind Scripture. The anointing allows believers to grasp what God is teaching through His Word, beyond natural understanding. Find out more about how to understand God's word in this series!For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!True understanding of God's Word comes only through the Holy Ghost, which opens our spiritual eyes and reveals the meaning behind Scripture. The anointing allows believers to grasp what God is teaching through His Word, beyond natural understanding. Find out more about how to understand God's word in this series!For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!True understanding of God's Word comes only through the Holy Ghost, which opens our spiritual eyes and reveals the meaning behind Scripture. The anointing allows believers to grasp what God is teaching through His Word, beyond natural understanding. Find out more about how to understand God's word in this series!For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In this teaching from 2 Timothy 2:1–4, Bishop Rader Johnson explains that to be entangled means to become intertwined or overly involved with the affairs of this life. As believers, we are in a spiritual war, and our weapons are not physical but spiritual—chiefly, the Word of God. To truly please the One who called us to be soldiers, we must stay focused, disciplined, and free from worldly distractions.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In this teaching from 2 Timothy 2:1–4, Bishop Rader Johnson explains that to be entangled means to become intertwined or overly involved with the affairs of this life. As believers, we are in a spiritual war, and our weapons are not physical but spiritual—chiefly, the Word of God. To truly please the One who called us to be soldiers, we must stay focused, disciplined, and free from worldly distractions.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In this teaching from 2 Timothy 2:1–4, Bishop Rader Johnson explains that to be entangled means to become intertwined or overly involved with the affairs of this life. As believers, we are in a spiritual war, and our weapons are not physical but spiritual—chiefly, the Word of God. To truly please the One who called us to be soldiers, we must stay focused, disciplined, and free from worldly distractions.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!The 6 Walks of Ephesians explores six powerful calls to action found in Paul's letter to the Ephesians: walk in good works (2:10), walk worthy of your calling (4:1), walk not as the gentiles (4:17), walk in love (5:2), walk as children of light (5:8), and walk circumspectly (5:15). Each episode unpacks what it means to live out these walks daily—following Christ's example with love, holiness, wisdom, and purpose.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!The 6 Walks of Ephesians explores six powerful calls to action found in Paul's letter to the Ephesians: walk in good works (2:10), walk worthy of your calling (4:1), walk not as the gentiles (4:17), walk in love (5:2), walk as children of light (5:8), and walk circumspectly (5:15). Each episode unpacks what it means to live out these walks daily—following Christ's example with love, holiness, wisdom, and purpose.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!The 6 Walks of Ephesians explores six powerful calls to action found in Paul's letter to the Ephesians: walk in good works (2:10), walk worthy of your calling (4:1), walk not as the gentiles (4:17), walk in love (5:2), walk as children of light (5:8), and walk circumspectly (5:15). Each episode unpacks what it means to live out these walks daily—following Christ's example with love, holiness, wisdom, and purpose.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!The 6 Walks of Ephesians explores six powerful calls to action found in Paul's letter to the Ephesians: walk in good works (2:10), walk worthy of your calling (4:1), walk not as the gentiles (4:17), walk in love (5:2), walk as children of light (5:8), and walk circumspectly (5:15). Each episode unpacks what it means to live out these walks daily—following Christ's example with love, holiness, wisdom, and purpose.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!The 6 Walks of Ephesians explores six powerful calls to action found in Paul's letter to the Ephesians: walk in good works (2:10), walk worthy of your calling (4:1), walk not as the gentiles (4:17), walk in love (5:2), walk as children of light (5:8), and walk circumspectly (5:15). Each episode unpacks what it means to live out these walks daily—following Christ's example with love, holiness, wisdom, and purpose.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!The 6 Walks of Ephesians explores six powerful calls to action found in Paul's letter to the Ephesians: walk in good works (2:10), walk worthy of your calling (4:1), walk not as the gentiles (4:17), walk in love (5:2), walk as children of light (5:8), and walk circumspectly (5:15). Each episode unpacks what it means to live out these walks daily—following Christ's example with love, holiness, wisdom, and purpose.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Tell us what you think about this podcast!In this podcast, Bishop Rader Johnson extends the series beyond the 6 Principles of the Doctrine of Christ. Hebrews 6:1-3 calls us to go on to perfection—to grow beyond the basics and press forward to maturity in Christ. Spiritual growth means bringing our thoughts, desires, and actions under God's Word so we can reflect the life of Jesus.For more lessons and sermons, follow our YouTube channel at https://www.youtube.com/@GBT

Host Mohamed Abo-Basha provides a solo update on his fourth year of dental school. He discusses his busy schedule, which includes studying for the new Integrated National Board Dental Examination (NBDE) and the Objective Structured Clinical Examination (OSCE). He also shares his experiences with classes, including a senior seminar paper and presentation on Guided Biofilm Therapy, and a practice management course. He mentions his progress in clinical requirements, particularly in endo and removable prosthodontics, and a goal of completing four more quads of SRP. Finally, he looks ahead to upcoming challenges, including the ADEX clinical exam, externships, and his search for an associateship position. Some links from the show: Guided Biofilm Therapy Dental Decks DAT Bootcamp Join the Very Dental Facebook group using the password "Timmerman," Hornbrook" or "McWethy," "Papa Randy" or "Lipscomb!" The Very Dental Podcast network is and will remain free to download. If you'd like to support the shows you love at Very Dental then show a little love to the people that support us! -- Crazy Dental has everything you need from cotton rolls to equipment and everything in between and the best prices you'll find anywhere! If you head over to verydentalpodcast.com/crazy and use coupon code “VERYDENTAL10” you'll get another 10% off your order! Go save yourself some money and support the show all at the same time! -- The Wonderist Agency is basically a one stop shop for marketing your practice and your brand. From logo redesign to a full service marketing plan, the folks at Wonderist have you covered! Go check them out at verydentalpodcast.com/wonderist! -- Enova Illumination makes the very best in loupes and headlights, including their new ergonomic angled prism loupes! They also distribute loupe mounted cameras and even the amazing line of Zumax microscopes! If you want to help out the podcast while upping your magnification and headlight game, you need to head over to verydentalpodcast.com/enova to see their whole line of products! -- CAD-Ray offers the best service on a wide variety of digital scanners, printers, mills and even  their very own browser based design software, Clinux! CAD-Ray has been a huge supporter of the Very Dental Podcast Network and I can tell you that you'll get no better service on everything digital dentistry than the folks from CAD-Ray. Go check them out at verydentalpodcast.com/CADRay!    

ROI Podcast—the business show that doubles as a comedy roast—returns with Law Smith and Eric Readinger riffing on TikTok, attention spans, and why horoscopes are basically astrology's version of fantasy football. This episode tackles: TikTok's addictive algorithm vs. China's “education-only” version. Why social media feels like narco-terrorism for your brain. The trader who used TikTok comments to turn $84K into $42M. Comedy, drag shows, group dances, and why dudes just don't vibe with them. A DIY college fantasy football league idea that could flip into billions. If you like your business podcasts with more laughs than LinkedIn posts, hit subscribe and join the world's #1 comedy-business podcast.   Eric Readinger  0:02   Okey, dokey, Law Smith  0:06   Whoo, yeah, ah, I wear, I wear my DMX goggles, yeah. I mean, this is, like, the why is that? DMX, no, but it's like a guy. This is Malibu's Most Wanted. That's what this guy sounds like. Eric Readinger  0:27   Yeah, maybe I don't know. He's not real. So can to be whatever you want him to be in your mind, Law Smith  0:32   so he is. So I'm right, yes, you're right. I'm gonna do this like a chick, yeah, see, I'm right, Eric Readinger  0:36   right, because I can't be proven wrong. I'm right. Law Smith  0:40   I was telling a friend, it made me underthink, like dudes, it's much, much better Eric Readinger  0:46   life. Uh huh, yeah, not everything you think is right. Law Smith  0:52   Well before this turns into no man from Eric Readinger  0:55   your children's club. Law Smith  0:58   You know, we can only call that shit out because we empathize with that play. Welcome to ROI podcast, because this is the number one comedy business podcast in the world. Sometimes we talk about emo stuff like Eric Readinger  1:12   that. Oh yeah. Are we gonna get into it? Nah. Law Smith  1:15   Oh, come on. No, no, no, it's too fresh. Too fresh, okay, fresh wounds. But I did. Eric Readinger  1:23   I'm gonna go ahead and just point out the echo Enos. That's my bad when we rip Law Smith  1:28   it up the floor in the studio, fix it in post. We got some tools. Well, hey, man, we should tell everybody, because I like giving resources out. I'm the Suze Orman of digital resources. That's what I want to be. What? Yeah, Adobe has a podcast Audio Enhancer. It'll take out background noise. It'll take out we have a little buzz I could hear right now that we had two episodes ago or an episode ago that it took outably your headphone. No, when I listened to it later. One of the previous episodes we Eric Readinger  2:02   did. Okay, this is definitely the kind of entertainment people want to hear. Well, maybe Law Smith  2:06   I'm just saying, if you have audio you need to clean up. You can, it's for podcasts, they say. But you could probably use it. If you had audio you needed to clean up, like in a loud room or a conference or, you know, any kind of meeting or something, you can right? But I just like the easy, you know, drag and drop it in, boom, come back out. Five minutes. Eric Readinger  2:24   You're good, yeah, AI is great, loyal part. Law Smith  2:29   But like it, it AI, the LLM, you know, those language learning models of like Chad, GBT and Claude and perplexity, large Eric Readinger  2:39   language, excuse me, what did I say? Learning? Used to Law Smith  2:45   whatever rewind I got. There's too many acronyms in my head or abbreviations, but it's one of those things where it it's a whole to do, like you have to know, how do you hold to do? What happens was. And I think everybody's having this issue, I kind of try to push through it, because I know that outcomes of what you want to get out of it, like, organize this document for me. Like, instead of me having to do it, that's great. That's like, I love that part of it, right? And that's intuitive. But there's some things that aren't intuitive on how to talk to it. Yeah, nicely, you can be mean to it. I don't know if it affects it. Eric Readinger  3:29   Well, not yet. You go on their list, their robot Law Smith  3:33   list, that's fair. So you know, I would just say I like the easy things like that. Like, for this podcast I'll use, there will be a word counter that sem rush, I think, has out there that's just its own website. You can drop a whole paragraph in. It'll pull the keywords for you if you want that are most important. It'll, you know, do stuff like that. I like those kind of little tools. And if we do anything on the show, if we're if we add any value besides our guests wisdom that come on the show, we show you how to be a tool. It's some resources to be a tool. Perfect Circle, exactly. Good album, yeah. You know, I don't know if I want to get into the fantasy football stuff. Eric Readinger  4:19   I know. I mean, I thought we were gonna talk about something else, I'll tease it. Law Smith  4:23   Well, we were, you and I off air. Were bitching about tick tock and how I don't think either of us really like Eric Readinger  4:30   it. I don't ever go Law Smith  4:32   into talk well, I don't, I don't like I don't like reels, I don't like show. I don't unless I'm like, going to Eric Readinger  4:39   look for something, right, right? It's not, we weren't talking just about Tiktok what? Law Smith  4:43   But I mean, Facebook reels, when I open those apps, it's like, abrasive with the video. You know? It's like, oh, sometimes the sound is like, way high, like an old TV commercial where the audio is like, doesn't that still happens, right? And it's so. Well, it's like, when I open up those apps and it goes right to video, it's like, oh, and I'm usually already listening to something, right? I've realized that's on me a little bit as far as like, I don't, I'm not people send me videos. I'm like, I'll get to that later. And I just never, yeah, I know it a lot of the time, but that's not because I didn't want to watch it. And I do like that. People will send me stuff. They go, Oh, they're thinking of you. They go, Oh, it's Eric Readinger  5:28   nice in general, to me, the interface is just a pain in the ass. Did you see the videos I sent you? Oh, you sent more than one. Oh, my God, gotta back out, because I go back in like, Law Smith  5:38   it's just stupid, and then I might be a comedy snob at the same time, exactly. And so that Eric Readinger  5:44   isn't funny. Isn't funny. Why are you sending me out? And then Law Smith  5:47   so I was kind of thinking about it, when we talked about it, like last week, just kind of shooting the shit. And I was like, Why does Tiktok kind of annoy the shit out of me? And it part of it. Once I found out that the Chinese algorithm for their people is wildly different than the one over here. I think that was my trigger point to go. I don't want to be on that. That. And at the same time, my mom, friends that are like our age in their 40s, they were telling me they're wasting two hours a night on there every night, and they're like, I'm so addicted. Like, when it was really popping. Like, you know, 2021 I don't know 22 we're not the first movers on this, but the laggard, older people, yeah, and so, like, I was like, I want that. I don't have enough time. I feel like, but you're Eric Readinger  6:41   acting like the Tick Tock algorithm is that much worse than any other social media algorithm. They're all doing the same thing. Law Smith  6:47   Well, I think they do they I think they do it the best it seems like. Because it seems like, yeah, maybe I don't know, man, just from general chatter I hear in my life. But also, when I'm listening, I listen to a dick loader comedy podcast all day, because, you know, marketing, marketing work is like, once you know how to do it, you can kind of be on autopilot a little bit. And so it's one of those things where the chatter is like, it is they have, they got it dialed in, they got you screwed in, buddy. And that's, that's, that's really, they're the best at Eric Readinger  7:27   it that. But it's like we're on neither of us are on it. To know if it's better or worse. I'm on it enough. I Oh, here we go. Now we get the truth. Law Smith  7:36   Well, I need to know, well, marketing, we're in marketing, so it's like, I need to know enough, right? And I need to know a user perspective of it, right? I can't. I usually just try to stick to, like, outside research, well, yeah. But I'm always like, I like, put it away, like, it's like, a Ebola virus or something, okay, you know, I'm like, Oh, I don't want, that's good. That's really, yeah, but I also like timely reference. So the thing was like, Yeah, it's like, the Black Plague. And so I think, like, when? But really when it was like, okay, the algorithm for China and the Chinese people definitely got some pro China stuff going on there, right? That's, that's just good marketing within the country, right? Educational outside of that, it's only educational stuff. Eric Readinger  8:29   Now here, what is the education about, Law Smith  8:31   like, science and like things of that nature, probably revisionist history, I'm sure. But I'm sure it has a whole glaze of propaganda over it, yeah, but at the same time they're doing that, but over here, they're like, let these dummies get dumber. That's what. That's my like, Eric Readinger  8:50   yeah, I don't think that's a wild No, that's not wild at all. I agree with you, and Law Smith  8:56   I compare it to Narco terrorism of like, you know, they say there's a lot of fentanyl that gives through Mexico from other countries to go up, up to the United States to kind of hurt, yeah, oh, no. This is, and that's happened on the Russian Eric Readinger  9:12   border without better than Narco terrorism, bro. Well, it's it. This is the Idiocracy. This is Lee, yeah, it's legal, right? Law Smith  9:19   And we and another bigger if we back, really back out, like the the future where everything takes over, like, you know, all agency is lost for people, right? And at 1984 it was about like, everything coming at people to take over society. We're willingly giving it away with our time data, you know? Eric Readinger  9:45   Yeah, we just keep letting them do whatever. You know, it's man. It sucks. So older I get, the more I'm like man they are. They are probably trying to control Law Smith  9:55   us. Look, it's not all bad. But as our buddy in the. Uh, all star guest, Dean Akers, who's, come on, he's, I'm surprised when we had breakfast the other day, he didn't bring it up. But because I think he's brought it up every breakfast we've had the last, you know, two years, he goes, You know what the new cigarettes are? And I'm like, what? And he's like, it's the bone. And I'm like, I know that one. I actually can answer right? When he is a teaching, he's a he's a teaching kind of mentor, yeah? Eric Readinger  10:28   So like, when Dean comes on here, and he'll ask us questions, and then we get all nervous and try to think of the right answer, and then one of us gets it right, and the other, he does the same thing at breakfast. And we the same way in real life. He's no different, yeah. We act the same way. Law Smith  10:41   So he keeps score, but he that's like, his favorite, you know, kind of angle, and he's right, because he, he was telling me people were wasting two hours as well. And I was like, whoa. I mean, he, he looks up Eric Readinger  10:54   that stuff. Yeah, that's not even now. That's, I thought that was obvious. Law Smith  10:58   Is it all bad? No, it it provides entertainment for people, right, right? You can get information from it. I just don't know how I feel, like you, like we talk about with news outlets, we'd be doing a lot more work to figure out if, if this, this thing on my feed, is actually true. But most people don't take that extra step, including myself, and a lot of the times just go, oh yeah, that's okay, right? Just move on, Eric Readinger  11:27   right? I think they annoying, most annoying dances I even get to that the dances, they're not as annoying. I don't think the food food, try this viral. Try this viral recipe. First of all, if that's obviously throwing a word viral into all the food, right? It's viral. It's viral. Whatever chocolates you know, like you, but the way they do the thing is, like, here, let me do a quick, sharp, snap, cut all, like, of the ingredients that you gotta, like, pause your phone. Like, they don't give you any measurements on what you're doing. Like, there no, it's just like you barely kind of got to guess what they're doing. And yet, there's still people are still trying Law Smith  12:06   to do it. I went on a mom date. I had to go on a date with my mom for lunch once a month. Law loves mom. I love my mama and and she was saying, I was I was saying the same thing. I was like, I don't like any recipe online that doesn't give you the ingredients first. I know that's because that's another bunch into it. And you're like, I don't have, oh, fuck man, I don't have basil. I don't have that kind of basil here. No. But I Eric Readinger  12:34   mean, whatever happened to the websites that just give you the recipe? Well, you'll have to write a fucking Law Smith  12:39   story about it. They're all trying to game it. So, like, they know that's going to be too boring, and people don't want to see that at the beginning. But when you really, actually want to use the information for recipe, and you don't know, I don't I, admittedly, I'm not. I don't know offhand how to bake or cook really well. I can grill, okay, right? But like, I look everything up and just follow whatever the directions are Eric Readinger  13:04   exactly. And when the directions start with, I remember when I was nine years old, it's like, what are you doing, right? I don't even, I don't even see them. Where are you taking me? Yeah, bro, it's a whole thing. Everybody's got to get their SEO in. Law Smith  13:17   So 25% of the users are 18 to 2425 34 is about 30% and our swing and Dick group is about 20 Okay, I just, I wanted to pull some stats up, because I was like, I was curious how really even spread. So it started in 2016 and it's become this. It's grown quicker, more more adopted users, more daily active users than any of them in such a short amount of time. That seems suspect to me, right? Because I was like, how did it grow like that? And I can't get any of the any of the AI apps to tell me Eric Readinger  14:00   really, I know, I think there's absolutely, well, whether it's an app or a person like that, get propped up and put in the spotlight and be made to be, you know, a household thing. It's like we were talking about like a guy like Sean Ryan. Yeah, who the fuck was Sean Ryan before he started getting every top tier podcast guest, yeah? Like, yes, I understand he Law Smith  14:27   was, you know, he was a journalist. He was, he Eric Readinger  14:31   was a counter Intel guy. Law Smith  14:33   Wait, whom? I'm thinking of, the hot wings guy, the hot ones guy. What's that guy's name? Who gives a shit? Now, I'm thinking of Sean Kelly, but, all right, who's Sean? Who Sean? Eric Readinger  14:48   What? Sean Ryan? Law Smith  14:49   There Is he cute. He's a bald headed man. Well, I mean, there's so many audiences we don't know about. There's so many like popular things. Like, when people come up to you, especially like comedy, you think you have a finger on the pulse. Like, you ever heard of this guy? He has a billion people that follow on me. Like, never heard of him? Eric Readinger  15:10   No. I mean, 4.8 3 million subscribers, right? Law Smith  15:14   I don't know if I even know this guy. Well, I thought you were talking about the hot ones. Guy off air. Eric Readinger  15:19   I mean, you just see he's got, you know, Law Smith  15:23   he's is, Eric Readinger  15:25   uh, sets. Let's see if I can imagine being able Law Smith  15:30   to build up. My God, how unprofessional. Whatever you don't do premium down, um, Eric Readinger  15:36   but anyways, I think there's guys that just like, get put into the spotlight to push a narrative, you know, like, just get certain people on there. Like, we're gonna give you a bunch of money for marketing because, like, somebody like, I just don't have no problem with the guy, Sean Ryan, he killed me in the sleep. But like, I don't necessarily think he's a great interviewer, or, like, has a fantastic recall of information, or anything, you know, Law Smith  16:07   well, that doesn't mean, I mean that it's entertainment at the end of the day. So it's Eric Readinger  16:13   not easy. Like, there's just a couple of them that are puzzling to me. Law Smith  16:17   He created and show ran several. Oh, that's, I think that's a different guy. That is absolutely a different guy, former Navy SEAL in CIA, contractor. So that's pretty interesting. Right off the Eric Readinger  16:29   bat, exactly what I'm saying, bro, and then he just jumps into the spotlight like Law Smith  16:34   that. No, okay, so there are, if you're talking about, like, podcasts, where there's, like, how did uh, these podcasts land on the top 10 list? It's like they have PR for that now, it's like you pay to get on that shit. Eric Readinger  16:50   Sure, I understand that. I'm just saying there's certain ones that I hear them and then just the way they are. It's very fishy. Law Smith  16:57   He, uh, became a CIA contractor enemies, so maybe had some cash to spend from that. Yeah. And then founded vigilance elite and 20 vitamin company to teach tactical skills to civilians law enforcement. So maybe money, some money there. If you have money, you can, you can, you can get that many people, even Eric Readinger  17:20   if you suck. Well, anybody who's been in the CIA, but not Law Smith  17:25   us, we're doing it lean on purpose, right? Yeah. So you got, or even it's for this is brought to you, for viewers like you. I don't have that the end of PBS stuff Eric Readinger  17:39   when they play best, get damp. Sure that's the right sound. Law Smith  17:43   Whenever where they go. This TV show, this program, is brought to you by and they give a bunch of, oh, I got it. I got the reference. But, and then they'd say viewers like you at the end, Eric Readinger  17:54   yeah, I know. Did you get it? Yeah, I still get it. Still get it. Law Smith  17:58   I tried to get back to tick tock. I tried to get the list of words that will demonetize you or give you, oh, let's read those aloud. I've wanted to, that was what I was gonna do. I was just gonna start reading them without with no segue into it. But I can't get them. I can't get a list of them. It's like, secret. Eric Readinger  18:17   Well, I know the kids. Oh, visit. Is it one? Well, you can't talk about that. Can't talk about unaliving yourself. Law Smith  18:25   And Tiktok, I think, is the most prude out of all of them. Like you can't say sex, you say SIGs with, like, eggs with an S on right? Yeah, or the one on YouTube, and Tiktok is on alive yourself instead Eric Readinger  18:42   of, did you hear me just say Law Smith  18:44   that? Oh, no. Okay, good. Eric Readinger  18:46   You see how this podcast goes. Everybody, I kind of do my own show over here. Law does his own show over there, and then we meet in the middle at the end. I'm trying, Law Smith  18:54   yeah, yeah, yeah. It's interesting. Well, I'm trying to read some notes. I think we were talking at the same time for a full minute at one point when today, just a couple minutes ago, very possible. So what I don't like about that is, like, self censorship of stuff. But you know, it's not all bad, I guess, because there's so many kids that have accounts and they're on there the dance dances have never like, unless it's like, a bunch of people are never like, Wow, what a cool dance. I think it's interesting. I think it's I respect like a dance group that does something pretty, you know, difficult, synchronized. I feel like that is a female thing. Big time is like, I got a dance. I got, I got it hit me, Eric Readinger  19:46   right, right? Law Smith  19:48   I know I misogynist lately, so I'm just gonna lean into before, yeah, no, I'm saying like that. Okay, so group dance. Yes, moves, I'm gonna go with horoscopes. In, like, astrology, these are all things I don't know a straight man that is into any of this in drag queen shows, yeah, well, people are like, it's hilarious, and you're like, a half second, maybe at best. Okay, I'll there one straight male that enjoys any of those three things. Eric Readinger  20:27   Okay, well, hold on, on the dragon shows, there is an element that can make it fun. That is, if you have another dude in your group who's very uncomfortable with the situation, sure, yeah. And we obviously let the drag queens know this, you know, you tell them, hey, focus in on him. Yeah, it's going to be funny forever. But I give you credit Law Smith  20:47   for you having the friend, bring in that friend, or making that friend go kind of right. I'm not, I don't know. It's just like, I mean, this is obviously, it's Eric Readinger  20:55   not like, I came up with the idea. I'm saying, like, if you're forced to go, you can make the best out of it, yeah, by making your friends uncomfortable, yeah, Law Smith  21:04   at the same time, like dudes, I'm trying to, I try to be open to that those kind of things when they're brought up, I try not to just shut it down kind of right away. Eric Readinger  21:15   You know, what kind of things, Law Smith  21:17   stuff that has zero interest to me. And I extrapolated out to I'm like, do I know any men that like actual men that like this stuff? Yeah, straight guys like myself, but yeah, Comparison is the thief of joy. So try to be open to it. I don't know everything, and there might be a funny drag show out there. Eric Readinger  21:42   I'm not, yeah, but again, I'm not trying to go to drag if you're forced. Law Smith  21:46   Well, I've been, I've been to a lot of drag places because of comedy, and it's like, I've seen it. You get to open with Eliza Manali, and you're going to close the share. Eric Readinger  21:58   I don't get it. I don't get how it's so much a thing. Law Smith  22:03   So what else did I have on here? Look, we don't even have a Tiktok account for this podcast, which is pathetic. So we'll this, hopefully this will help. Here's one thing I found that was interesting. There was an entrepreneur trader that followed all the comments on Tiktok to find trends before people on Wall Street could find out about them. So he would spend four hours every night analyzing comments to find out what people were talking about. Okay, and then he would find that trend, and he he put a trade in on that company before it really popped to like older Wall Street people, and he fucking crushed it. Guy's name is Chris Camillo from from Texas, and he turned $84,000 into 42 million by just finding trends before they really pop to the general public, the older public, you know, Eric Readinger  23:06   yep, but I see that he turned $84,000 into whatever. No, I mean, that's just like, what's his face? Law Smith  23:16   Here's here's a good example. So Hollywood insider predicted Margot Robbie last the Barbie movie, right? So he sees all the Tiktok comments about the Barbie movie buzz. He puts a bunch of trade on Mattel stock because it's gonna, it's gonna go through the roof, because it's gonna be a legit movie, right? And crushes it with that kind of thing. I think ozempic was another one, or one of the weight loss drugs. When people were starting to do that and talk Eric Readinger  23:47   about it, it doesn't seem like four hours a night is necessary for that. Law Smith  23:52   Well, obviously he's obsessive about it. But it was one of those things where, what did I go? It was obviously, like obsessive and by the way, slime was the other one that that's like genius. If he was reading comments, I doubt he did it four hours a night. By the way, this is Eric Readinger  24:09   what I'm saying. I have four hours. I didn't vet I didn't vet this whole thing, mental thing. Law Smith  24:13   Maybe I didn't vet it out. And I'm sure he figured out how to get a bot to sweep and look at all this stuff. But kids obsessing over slime, and then, so he bought, he bought a bunch of Elmer, elmer's Glue stock, like shit like that. That's pretty awesome. Why is that? Because that's what makes up slime. Of a lot of that, okay, Eric Readinger  24:37   but they're using it for glue. Law Smith  24:40   No, you put you Elmer glue is one of the ingredients in slime, Eric Readinger  24:44   but they're not making the glue. They're not taking Elmers glue and making slime out of Law Smith  24:49   it. A lot of kids were making at home, yeah, including my own kids, I see. And then I had to have a no slime rule at my house, Eric Readinger  24:58   yeah. No. The parents like the slime. I'm fuck that shit. Well, it just, it gets everywhere. It never comes off. Law Smith  25:04   Yeah, it's like, Slimer from Ghostbusters. It leaves, like, residue Eric Readinger  25:07   everywhere, snail trails. Yeah, yeah, fucking Law Smith  25:11   first. Oh, but have I brought this up Ghostbusters? I got a lot of people that don't like cops, but they love Ghostbusters. And I'm like, You're you're backing, you're back in enforcement Eric Readinger  25:23   there that don't like, like cops the TV show or cops in real life, Law Smith  25:26   like police in real life. They're like, they're like, defund the police people, and then they love Ghostbusters. I find that funny, Eric Readinger  25:34   right? That's a really fun thing for you to say to them. I Law Smith  25:37   never bring it up. Oh, okay, dude, I, I don't if it's a big calorie burner, and I don't have a lot of information or a hot take other than that one sentence, yeah, I Eric Readinger  25:48   am bringing it up. Yeah. I mean, defund the Ghostbusters. Law Smith  25:53   I'm just saying, Man, you know, they deserve fair trial too. Eric Readinger  25:57   The ghosts, I feel like they've already had their trial. Did they there? I mean, that's why Law Smith  26:02   they got hurt there. There's systemic ghostism. Eric Readinger  26:06   Oh, I see. So it's a problem with communities. Law Smith  26:10   Anyway, I thought that was interesting. Not all Tiktok is bad. You can use it the way you want. Everybody wants to be an influencer now that's under the age of 18. YouTube star or Tiktok star is like the number one. I know job they want when they get older. It's crazy, yep, all right, I didn't think it Eric Readinger  26:29   was any foresight to say we can't all be influencers. Hey, Eric. I didn't think we're gonna talk that much. I thought we're gonna have a short episode, I know, but I knew we would just gab like gals. I got, Law Smith  26:39   I got one more thing, and then we'll get out of here and it, I'm going to open source it to everybody. So if you made it, I'm going to Shawshank Redemption you, if you made it this far, why you come a little bit further? What? There is a great idea I don't think I'll be able to ever capitalize on. So as if, like my Cuban coffee drive through idea. Eric Readinger  27:02   You know, that's the one joke that I thought of when you're like, I'm gonna that's not my my bits on stage. What's the name of your Cuban drive through? What's the name that you give it? Oh, that's Law Smith  27:15   the fruit the food truck joke, Eric Readinger  27:18   whatever it is, the two cups. Yeah, my point is, is that came into my mind when you're like, I don't really do a lot of dirty stuff or shock Law Smith  27:27   value stuff, yeah? Well, it's tough to shock people. Number one, you have to go so extreme. That's, that's why it felt out of place. And then this is a conversation we had off air. Eric Readinger  27:38   It was, yeah, Law Smith  27:41   about a set I did, and I was like, Yeah, not really. Part of who shit it was, yeah, Eric Readinger  27:47   yeah, who's in, who's in the zone? Now, I don't know. I mean, it doesn't change. Holy Water, all right, we have, you don't get to just say it. Law Smith  27:56   I'm getting closer. I'm getting closer. Nailing that. Holy guacamole, Eric Readinger  28:01   gronca, moly, I Law Smith  28:02   know, but I Eric Readinger  28:03   messed up. Okay, fantasy football, is that what you want to talk about? Law Smith  28:06   Well, I've tried to figure out how to capitalize this league. I do. No one's figured out. Okay, so NFL, fantasy football, billion dollar business, like, if not 10 100. We know he knows sports betting going on with the Daily Fantasy leaves too well, and the college football is getting cooler about being less kind of they're they're becoming less restrictive about players rights and their naming rights and all that stuff paying them like they should have been the whole time. So I do a very nerdy college fantasy football league, but I'm always like, when I'm preparing for it, I have my draft tonight, and when I'm preparing for it, I'm always like, I can't believe no one's figured this out how to make college football fantasy because everyone goes well, there's too many teams, ah, but we do it a different way. We have eight managers, ah, and it's a top 25 League. You stick with the AP, top 25 and your draft really matters, because you have to skew it a bit. So if it's like Boise State's 24 and they play, you know, one of those opening games where they got to play something difficult, they can lose the value of that player goes down, because once they drop out of the top 25 you lose them, yeah? And you have to do a waiver, a weekly waiver. Eric Readinger  29:26   Life is somebody doing all this by hand? Yeah? Law Smith  29:30   Holy shit. I mean, not like writing it down? No, I know, but manually, I told you, this is the one where it's me, my buddy, Brendan, and I think everybody else is black dude that. So I'm like, you stupid kind of white guy in the group. I'm I was, like, the new guy, and that I was the new guy for like, 15 years in this league. I don't know these guys that well. So it's always like, we're doing the Zoom draft. Often. I'm like, sometimes I've been a little loosey goosey, you know, yeah, battle pops, it made some jokes that fall flat, and I'm like, Okay, well, I don't know these guys anyway, so, yeah, Eric Readinger  30:10   well, but you need me there with you. Law Smith  30:14   You can hop on tonight. No, Eric Readinger  30:17   God, I try to so racist jokes and fall flat, but Law Smith  30:21   I'm open to sourcing it. I've definitely done this on the show before and put it out there. It's one of those things where it's, like, I tried one year to really try to put effort into it for a while, Eric Readinger  30:30   and like, what are you hoping sourcing the Law Smith  30:33   idea of the game? So, like, you can be even hard to pitch this to a big like Yahoo or ESPN, or any FanDuel or something. Yeah, because you you'd have to go, I gotta pitch you something, but you gotta sign the longest NDA of all time that you can, like, it's like a movie script, while people don't read movie scripts just given to them, that has to go through their agency, because they'll get sued for, like, copying the idea. It's kind of like that, an IP of this idea of some of something that already exists, statistics that are out there. Eric Readinger  31:08   Yeah, I don't think it'd be that crazy. Law Smith  31:11   What sucks is, every year you have to do the manual research. Now there's sites you can pay for, subscription wise, that kind of do it. But like, Yeah, nobody cares about college. You can't. You can't really key in firsthand, all the parameters you need. So I've tried to, like, here's my strategy this year, because, oh, my God, I didn't read Phil Steele's phone book magazine. He does a thing on every team. It's like the craziest, like, Aspergers, he, like, he has, he it's like 180 pages. It's crazy. And he predict, he's the best predictor of, like, who's gonna win the Heisman, who's gonna be good this year kind of thing. So I tried to go, here's my here's what I was like, I gotta think outside the box, because last year I tried to do, I tried to use chat GBT didn't really work. This year I gave it a whirl. Still wasn't working for me. I'm going to look up the EA college football video game ratings, yeah, filter out all the non top 25 people, and then kind of go from that, Eric Readinger  32:20   yeah, that's just that, right? Like, I was like a thing when back in my fantasy football days, like, if you ever had somebody like, you're trying to make a tough decision, start this guy or start that guy, I'd go to FanDuel, who cost support. Oh, yeah, yeah. Gamblers know, Law Smith  32:36   right? The problem with the the Daily Fantasy ones was they don't have all the teams in there a lot of the time, so it's like, you're not getting a pure one to one sometimes, you know, if you're, if you're Jocelyn between, I've tried to do that for NFL. Eric Readinger  32:53   I'm like, Oh, you're saying, like some teams play at different times and, well, yeah, they don't. Law Smith  32:58   I don't know if they do it now. I haven't, I haven't really gone on those sites because I'm scared I'll, I'll gamble my life away. But it's one of those things where they do, like, here's the seven games early Sunday kind of package, but they would never have the whole Thursday to Monday, right? So it was hard to put it against it. I don't know, you know I'm saying anyway, I Eric Readinger  33:20   guess so. But the prices are all the same. Law Smith  33:23   The Price Is Right. Thanks for listening, and Eric Readinger  33:29   it's from the prices. Law Smith  33:31   And when you make billions off of this idea, you know, you package it, you're the listener. I'm talking to you, the listener. When you package this, just throw a couple shackles for for for funzies fucking nuts. Eric Readinger  33:58   Yo, I'm dumb. I.  

In this chaotic and charming Quickie, Keltie opens up about her disastrous flirtation with retinol, Jack triggers the Sunday scaries with a parking lot meltdown, and Becca reveals her secret to scoring free guac. The ladies play a round of “Lady Most Likely,” debating who would join a cult, flirt their way into freebies, or stalk an ex from 2009. Plus, we unpack email etiquette, ChatGPT (or is it GBT?!), and why Keltie's still emotionally attached to her BlackBerry that never was.Check out our summer sponsors!!Old Navy: Need summer activewear? Shop in store OR online at OldNavy.com21 Seeds: The official tequila of LadyWorld! Discover more at 21seeds.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.