TBPN

Becoming Unsloppable, Anthropic’s Series G, The Mansion Section | Diet TBPN

29 min
Feb 14, 20262 months ago
Listen to Episode
Summary

The episode discusses Anthropic's massive $30 billion Series G funding round at a $380 billion valuation, analyzing which companies can survive the AI disruption through the concept of being 'unsloppable' - having durable moats beyond just code. The hosts examine how the software industry faces unprecedented pressure as AI makes code generation nearly free, forcing companies to identify their true competitive advantages.

Insights
  • Companies whose primary moat is just having written a lot of code are vulnerable as AI makes software development nearly free
  • Durable moats in the AI era include network effects, economies of scale, brand power, and regulated/scarce resources rather than proprietary technology alone
  • The software market is experiencing its largest non-recessionary drawdown in 30 years, losing $2 trillion in market cap due to AI disruption fears
  • Public market investors are demanding companies clearly articulate both their durable competitive advantages and how they benefit from AI advancement
  • The disruption timeline may be slower than expected due to reliability, security, and adoption challenges with AI-generated software
Trends
Zero marginal cost software development through AI coding agentsShift from growth stock valuations to value-focused metrics in software companiesPrivatization and customization of security services for wealthy individualsEmergence of AI-native startups competing directly with established SaaS companiesMarket repricing of software companies based on AI disruption risk rather than current financialsIncreased focus on network effects and platform businesses as defensible moatsRise of consumption-based pricing models over traditional seat-based SaaS pricingGrowing demand for luxury home security features including biometric systems and safe rooms
Companies
Anthropic
Raised $30 billion Series G at $380 billion valuation with explosive revenue growth trajectory
Salesforce
Used as example of company with engineering moat that could be vulnerable to AI disruption
Uber
Cited as example of unsloppable company due to network effects and operational scale
Nvidia
Listed as unsloppable company due to hardware moats in AI chip manufacturing
Airbnb
Mentioned as marketplace with durable network effects making it unsloppable
Netflix
Identified as IP holder that could benefit from lower content production costs via AI
Disney
Listed as IP holder positioned to benefit from AI-enabled content creation cost reduction
YouTube
Cited as platform with network effects and potential AI beneficiary for content creation
DoorDash
Listed as marketplace business with unsloppable network effect moats
Nielsen
Used as example of data company with underappreciated network moats in CPG industry
JP Morgan
Cited as source for software industry drawdown statistics and market analysis
Goldman Sachs
Referenced for warning about newspaper-like decline in software stocks
People
Dario Amodei
Anthropic CEO mentioned for recent podcast appearances discussing AI safety and company direction
Peter Thiel
Referenced for his four sources of monopoly power framework from Zero to One book
Dara Khosrowshahi
Uber CEO quoted on network effects and the difficulty of cloning ride-sharing platforms
George Hotz
Quoted for views on business transparency and LinkedIn posts about AI societal risks
Mark Zuckerberg
Referenced for conducting hiring raids on AI labs and Meta's Anthropic investment
Sholto Douglas
Anthropic engineer mentioned for turning down $50M offers showing conviction in company
Travis Kelce
NFL player mentioned as victim of celebrity home break-ins by Chilean nationals
Patrick Mahomes
NFL quarterback cited as victim in luxury home break-in crime wave
Quotes
"We decided to coin the phrase unsloppable. So these are companies that have some type of moat in an era where it feels like more code could be written in the next 12 months than in all of human history."
Host
"Everything was great when we were disrupting manual workflows, but as we enter the software singularity we are having the uncomfortable experience of disrupting ourselves."
Host
"You can vibe code a pickup app that looks like Uber, has a map, lets you click the button, accepts payment. But if there's no one on the other side of that network to actually come and pick you up, your Uber clone is dead in the water."
Host
"I'm gonna tell you what I'm doing and you could try to compete, but I'll still crush you."
George Hotz
"The only choice is to stop. Tell your friends, tell your neighbors, if you keep feeding this machine, it will eat you."
George Hotz
Full Transcript
3 Speakers
Speaker A

The big news, anthropic has raised $30 billion at 380 billion post money valuation. We've all seen the revenue chart 10x growth four years in a row. 100 million a billion now, 14 billion. Will they do a hundred? That's the question. Will they be at a hundred billion dollar revenue run rate by the end of the year? They're growing on track to hit that, which, which is crazy and completely unprecedented. But again, they're going after all of SaaS, they're going after all of software, they're going after all of labor, all.

0:02

Speaker B

Of white collar work, all your job specifically.

0:33

Speaker A

Yeah, it's not looking good for you. No, we're joking.

0:36

Speaker B

Never doom.

0:39

Speaker A

Never doom. There's plenty of opportunity. There are plenty of good potential outcomes. Dario has been on Dwar Kesh Patel today and he did something else with Ross Douthit. And so there's a number of places where you can go to hear his, his latest takes on the good ending and what he's guiding towards. The question is what happens to the companies that are currently under pressure with the anthropic narrative? They have to answer this question of is anthropic just going to steamroll you? What is your real source of strength?

0:40

Speaker B

Yeah, not just Anthropic, but the labs. Every YC company that is building an AI native, any company that is, you know, slapping AI native on their website. Yeah, everyone's going after the opportunity. So we coined a phrase, we decided to coin something. What is a phrase that you can generally apply to businesses that can survive and then hopefully thrive during this moment in time?

1:12

Speaker A

I think there's intelligence is too cheap to meter.

1:41

Speaker B

Yeah. So, so the question, you know, earnings cycle, last couple of weeks, every CEO has gone on if basically like if you had to answer the question, like talk about the threat of AI. If you just had answer the question. Basically the companies that were just. The entire earnings call was just about, generally about AI. If you're like a core weave or something like that, that's a little bit more straightforward. But if you have to answer the question, do you have a durable moat right now with AI progress, your stock is probably going to sell off either way however you answer it. But there's a second question which is, are you a true beneficiary? So do you have a durable moat? And then are you a true beneficiary? So we decided to coin the phrase unsloppable. So these are companies that we'll get into that have some type of moat in an era where it feels like more code could be written in the next 12 months than in all of human history. I was kind of running the numbers.

1:43

Speaker A

It seems possible specifically not. Okay, you're a company that has just spent 10 years writing a bunch of lines of code and it would take a startup a lot of time and money and they would have to hire a lot of engineers and write a lot of code to create a copy of what you have.

2:39

Speaker B

So like to rebuild Salesforce as a platform you would have to spend billions of Historically you would have had to spend billions of dollars hiring thousands of software engineers to piece by piece build out all of the functionality at Salesforce. Of course you could build vertical solutions and get some amount of traction. But in general the idea was like there was some effectively just a an engineering moat and that there was a lot of code that you would have to write to effectively compete. So software has undergone the largest non recessionary 12 month drawdown in over 30 years. It's minus 34% wiping out 2 trillion of market cap from the peak. This is JP Morgan as of a couple of days ago. AI threat sparks historic Software stock Crash Goldman Sachs warns of newspaper like decline.

2:54

Speaker A

I love the newspaper. What's wrong with newspapers?

3:41

Speaker B

Still got know. Still got it. And then as of yesterday, over the prior eight trading sessions, more than 20% of the S&P 500 had a drawdown of 7% or more in a single session. According to the compound I wrote everything was great when we were disrupting manual workflows, but as we enter the software singularity we are having the uncomfortable experience of disrupting ourselves. Assume the marginal cost of software development goes to zero if you are a software company where the, where you're moat was that a competitor would have to spend a billion dollars to hire a bunch of software engineers to write millions of lines of code to create a product. And you have no other moats. It's going to be rough. Thankfully there are moats that are unaffected by coding agents and effectively zero cost software development Peter Thiel PT outlined four key sources of monopoly power in zero to one back in 2014. These are proprietary technology, network effects, economies of scale and brand. Most of these still hold. But proprietary technology by itself is no longer sufficient as a moat.

3:44

Speaker A

In some cases if you have a patent to a GLP1 drug that is a proprietary technology that will give you pricing power probably for as long as the patent holds. And there are patents on certain pieces of technology that even if they can be cloned or rederived from first principles with Your million geniuses in the data center, the first person to patent it gets to reap that value. And that's just the way our.

4:37

Speaker B

And the issue with software, how many a bunch of designer friends of mine have like a design patent on a specific kind of.

5:05

Speaker A

Can they enforce it Workflow.

5:12

Speaker B

Yeah. And it's cool to say that you have a patent, but it's not.

5:13

Speaker A

Yeah. Proprietary technology can just be okay. We have a big software system, but oftentimes it's more like we have proprietary, like something that's regulated, something that's a cornered resource, something that's, that's scarce and will remain scarce. But yes, if your proprietary technology is just. You're the only person with this particular Python script, that's probably going away. But network effects aren't. And some of the economies of scale, some of the quid liquidity on these platforms is going to be durable. You can vibe code. I was talking to Dara Khoshari at Uber about this. You can vibe code, a pickup app that, you know, looks like Uber, has a map, lets you click the button, accepts payment. But if there's no one on the other side of that network to actually come and pick you up, your Uber. Uber clone is dead in the water now.

5:17

Speaker B

Yeah. Or if a customer, if somebody does pick it up and the customer has a terrible experience, do you have the, do you have the resources to actually make it right?

6:05

Speaker A

Yeah, but Uber works because they spend a bunch of money getting to scale. Cloning that scale is difficult. There are a set of businesses that will have to contend with the clank or fication of the economy.

6:13

Speaker B

But that's, that's a. Becoming unslopable means two things. First, your business actually has to derive its economic power from a moat that is unslobable. And second, you need to clearly communicate that to shareholders. Right now, if the market thinks you're just a bunch of lines of code, you're cooked. Tech companies we think of as unsloppable. You have hardware, Nvidia, amd, Intel, Cisco, Broadcom, sk, Hynix, Western digital data centers. So Neo Cloud, things like Core Weave, lambda social networks, YouTube, Instagram X, LinkedIn, even thinking Roblox. Right. Not just, you know, they have the network and they can be a beneficiary of AI. Because if it's easier to make games, a lot more people will make games. Maybe you'll get more usage. Marketplaces, Airbnb, Uber, DoorDash, IP holders, Disney, Netflix, Warner Brothers. I think if you have a lot of IP right now and the cost to produce great content drops dramatically. You're going to benefit from that. And then platforms, things like YouTube and Spotify as well. I said it's been an incredibly rough couple of weeks for public market CEOs. Really disheartening on the show. CEOs been putting up some great quarters and then you know, they're trading down between 7 and 20%. There are two main question everyone wants to know even if they already sold your stock to buy Adams. One, do you have a durable moat in the software singularity? Two, are you a true beneficiary of AI? Many CEOs are still struggling to answer. Number one, because it doesn't really matter what you say, just having to answer the question equals a sell off. And two, this one can really only be answered in the numbers. You aren't an immediate AI beneficiary. If revenue is not accelerating, it's possible to be unsloppable, but not an obvious beneficiary. But you'll still likely sell off. As the market digests and interrogates the actual real world impacts of coding agents, some industries will be more resistant to change. Other industries will be revealed to have a secret source of market power that was underappreciated in the before times.

6:24

Speaker A

What I was thinking was Nielsen. This company was, you know, in one way, Nielsen Ratings, Nielsen Data. A lot of consumer packaged goods companies use this. I'm sure Matina is looking at how is this Yerba Mate selling in this store? You go to Nielsen, you pay them and they give you data and it just feels like an interface to sales data. But they have this whole network and you just have to pay for it. And it's not really something that you can just spin up.

8:08

Speaker B

Capping off the newsletter, I said a lot of the software market feels like the office equipment and imaging sector in the 90s. So companies like Sharp, Canon, Panasonic. Revenue was still up and to the right, but widespread adoption of the Internet, emails and PDFs was on the horizon. Even today, you'll still find a fax machine in every doctor's office. And many of the giants of that era are still around. But if you stayed in those names, you would have missed out on generational gains by simply being Long PDF. Had to go Long PDF. If you look at these companies, you know, Panasonic's still massive company and they've obviously adapted over time. You know, it's a, it's a shift.

8:39

Speaker A

From growth stock to value stock. Investors are less willing to pay for earnings that might come 10 years out because they're worried about those or 20 years out. Instead they're asking what will my return on invested capital be this year? What, what will the dividend be this year? How much cash will you give me back if I invest for a one year time horizon or shorter or longer? I think that there will be a reckoning around who is able to reveal a true moat and help people help the market understand what their source of strength is, whether it's liquidity on their platform, the network effect, the ip. If they have real ip that's defensible. But just having a big bag of code right now is a little bit of a wait since you're seeing so many companies that are saying well I haven't, our software engineers aren't even writing the code anymore. Yes, we're advancing our products, but so many companies are, are going all in.

9:15

Speaker B

It's also, it's pretty wild how long it's taken for the public markets to react to this. This kind of one shot in concept or this zero marginal cost code. Yeah, you know, coding concept where we were having these Same conversations in Q1 of last year being like what are the implications when you can just put in the prompt box build me XYZ tool. Right. And it took a while for the models to make progress, but even a year ago it was pretty obvious that you would get to some point where you could one shot a big platform. Of course, reliability still a concern, right? Security is still a concern. There's a lot of businesses where the potential risks of using like a Vibe coded product like far outweigh the cost of just paying for the product and having something that's reliable, trustworthy, battle tested.

10:08

Speaker A

Yeah, I mean there's still a ton of questions about how quickly disruption happens, how quickly market structures change. Some things go from monopolies to oligopolies. Some oligopolies are going to go to perfectly competitive. Certainly a bull market for YC companies who can vibe code something that's as good as a public company SaaS product and then go to those customers and.

10:56

Speaker B

Say maybe not as good but as.

11:18

Speaker A

Feature complete as feature complete or at least can compete a little bit faster and say hey, I'll come in with an offer that's 10x cheaper and that's just going to create some pricing pressure. The question is what's the rate limiting factor? Is diffusion a real factor? Is adoption a real factor? Do you need for deployed engineers to go help companies transform with agentic coding or will this happen inside companies and they'll be building their own platforms or will they want just a cheaper product from a new third party that has a different business model that's maybe more consumption based and something where if it goes down on a Saturday, they don't need to even fire off a prompt. How long until these, these vibe coded systems are like self healing in the way an enterprise platform is and has like a proper sla?

11:20

Speaker C

If the market is just catching up now to, to like coding models being very good and vibe coding, all this stuff and they're basically like a year late. In one year, what do you think like is going to be the thing that they're like, like do you think they'll still be late? Is it going to be like, okay, actual like white collar work is you actually can automate a lot of this stuff and only in a year that they're actually going to catch up to this.

12:08

Speaker B

Tyler if I knew the answer, we'd be on Wall Street.

12:26

Speaker A

I think we'll be talking about it over the next couple months. We'll need to see glimmers of demos.

12:30

Speaker B

The one thing is coding never felt, here's the thing, coding is a white collar job, but has always felt a lot less fake than most white collar jobs. There's a lot of jobs like email jobs, laptop jobs where there's like six people on a call for an hour and like one person is doing like really doing the work and the rest of them are just saying like nothing from my end. Thanks. Right. And that's like their entire day. Whereas coding, like the best engineers were actually just grinding all day long, putting in the hours, just shipping. As some of these like more broad knowledge work tasks get more easy to automate, do those people just like they're still going to be doing meetings? I mean to date the AI job loss has just been primarily from companies I would say still processing the Twitter acquisition and saying, hey, we need 50% fewer people here.

12:35

Speaker A

My answer is the unclankerable company. So think about mining like I have a piece of land, there is gold in the dirt. There's another company that comes and their specialization is finding where the gold deposits are on my land. There's a third company that shows up with tractors and people that dig the gold out. Then there's a fourth company that takes the raw ore and refines it into gold. There's a fifth company that is a platform for, for selling that gold onto the market. Right. So you have, you have like five different layers of the supply chain to get the gold into the market from the ground. Let's just use that. It could be oil, could be any, any mineral. Does robotic labor too cheap to meter change the value of the land? Probably not. But if you have a robotic digging machine that can show up and dig the ore out of the ground, dig the gold out of the ground at a lower cost. Well, the company that's been set up where their moat was, they employed all the best miners and they had systems to know who's good, train them, make sure that they're doing it safely, train them on the tools, make sure that they have the right equipment to dig the ore reliably, work in shifts. All of that becomes attackable. If you're like, well, all I have to do to start a company that competes in the gold mining business is place an order with a bunch of humanoid robots and go to the guy who has the land and say, I want to dig the land and I will give you a little bit more. So I would say that that's probably the next thing that the market would be processing and the ride hailing platforms dealing with the advent of this self driving car is probably one of these like clanker ification narratives. But that will come to a whole host of industries. The question is just on a five year timeline, on a ten year timeline, when will it be real and then when will the market price it accordingly? Because a lot of the pressure that you're seeing in the market is not showing up in the financials. The companies are still growing, they're still producing cash. The business hasn't changed, but the perception of the future of the business has changed and the perception of the future of the market structure has changed.

13:32

Speaker B

Clavicular has also been in the news streamer Braden Peters to host boxing match Billed as Test of Physical Dominance the Valentine's Day livestream pits two figures from the male self improvement Internet against each other. Braden Peters, the live streamer known as Clavicular, announced Thursday that he will host a boxing match on his Kick.com channel this Saturday evening, February 14th. The bout will feature two personalities from the online male aesthetics community. A figure known as ASU frat leader, an Arizona State University fraternity member who gained attention for his broad shouldered build, and a creator who goes by Androgenic, a fitness influencer focused on hormone optimization and physical appearance. The matchup represents the latest example of niche Internet subcultures, in this case communities organized around male physical self improvement and body image optimization crossing over into live entertainment.

15:49

Speaker A

So if you're if you haven't been following these, we've been taking these like viral kick clip posts and turning them into professionally written articles just as a joke. But Clavicular actually has a profile in the New York Times and it's written like that. And so I think, I think our joke is like over because it's hit the mainstream.

16:44

Speaker B

Really, really wild time on the Internet.

17:03

Speaker A

Let's go back to the Anthropic round. Matt Slotnick says LOL at the Jockeying behind the scenes to land on this wording quote we have raised $30 billion in Series G funding led by GIC and CO2, valuing Anthropic at 380 billion post money. The round was CO led by D.E. shaw Ventures, Dragon Ear, Founders Fund, Iconic and MGX. A huge part of this raise is Claude code, says Boris Czerny who is the creator of Claude Code. Over at Anthropic, weekly active users doubled since January. People who've never written a line of code are building with it. Humbled to work on this every day.

17:06

Speaker B

With our team still less annual revenue than AirPods. AirPods, last I checked were a $20 billion revenue business.

17:40

Speaker A

22 billion in 2024. I'm glad this chart is now public because it is bananas. It is ridiculous. It should not exist, says Bruno F. 5 billion in tokens managed. Interesting.

17:48

Speaker B

Salesforce invests in Anthropic colorized I think when Mark was on he said they have about a point of anthropic going into this round, if I remember correctly. What is this?

17:59

Speaker A

It's a horse giving money to a car. The car goes and buys a rocket launcher. The car blows up the barn and the horse is sad. And that does be like an apt analogy from this extraordinary piece in the New Yorker last summer, while Mark Zuckerberg was conducting hiring raids on other labs, Sholto Douglas, the anthropic engineer and TVPN guest, told me this journalist Gideon Lewis Kraus that a number of his colleagues, quote, could have taken a $50 million paycheck, but the vast majority of them hadn't even bothered to respond. Conviction they are early at a $350 billion company and are clearly very optimistic.

18:12

Speaker B

Daniel says. So wait, Claude has seat based pricing? Does this mean they're disrupting themselves too? Of course a lot of the concern has been around the SEAT based model, but it even feels like that is less of a factor than just the overall threat of zero marginal cost software.

18:55

Speaker A

Yeah, why does Claude have SEAT based pricing? It's essentially a consumption based product. But psychologically, if I'm rolling out Claude to a company and I Set up seats for a team. I know that there's individual rate limits, so no one individual is going to like blow me up. Basically, that's the idea. Let's play this timeless clip of George Hotz and.

19:12

Speaker B

Nah, we don't believe in stealth. I'm a really open guy. You are pretty open. I mean, I'll tell you everything I'm doing.

19:40

Speaker A

Come on.

19:44

Speaker B

Here's what I say, here's what I say. I'm gonna tell you what I'm doing and you could try to compete, but I'll still crush you.

19:45

Speaker A

Nah, we don't believe in stuff. So funny. Also, I don't know why that person cut that to be so widescreen. It looks very cinematic. But I like the quote here. You think the eggs I lay are valuable. I am the golden goose.

19:52

Speaker B

Meanwhile, there's still a lot of secrets to every business.

20:06

Speaker A

Yes.

20:09

Speaker B

CEOs can do 100 hours of podcasts and tell you a lot about what they're doing without telling you the one or two things that are actually important. And it's very easy for somebody to come in and try to fast follow and ultimately just kind of get it entirely wrong, even though it looks like the right.

20:12

Speaker A

And I think there was a huge incentive, I mean, going back to the SaaS apocalypse, there was incentive for a long time for companies that where their moat was not software to say, we're a software company, we need to hire the best software engineers. Look at our open source projects, focus on all the cool tech that we're building. When really it was a marketplace or really it was a liquidity provider or really it was a network effect. If you're a network effects business, it can be sort of boring and honestly anti competitive to just be like, look, we can do nothing and win. No one wants to say, no one wants to hear a CEO say that. But we're going to find out who can do nothing and win.

20:31

Speaker B

Over on LinkedIn, George Hotz is posting. Yeah, Amrit says George Hotz is the only thing keeping my LinkedIn feed good. He says, hello, corporate participant. You are building the machine that will eat you. You think your fake money will keep you safe? It won't. You think your social climbing friendships will keep you safe? They won't. The only choice is to stop. Tell your friends, tell your neighbors, if you keep feeding this machine, it will eat you. The proposed revolutions will not be enough. A global scale nuclear conflict might, but even then, I'm not sure. The problem was never AI itself. It's the collapse of trust in society. Apps and phones have snuck between every crevice of people and they are run by psychopaths. The AI will be a further wedge, just another lever to manipulate you. You will not be able to stand up to it and you will be discarded. The second you don't serve it like layoffs. You will die atomized and alone. And you won't understand that. You did this yourself. Brutal.

21:05

Speaker C

Nice little white pill.

21:59

Speaker B

Nice little Friday. White pill.

22:00

Speaker A

He's such a white pillar. Well, here's a white pill. We're going to get into bunkers. There's a whole piece in the Journal about how to secure a mega mansion. I know you've been asking. We have the answers. The mega rich are turning their mansions into impenetrable fortresses and we're going to tell you how to do it for yourself. Anxiety over high profile violence has the wealthy spending big on armed security bunkers, a bunky and even moats. They're building moats. I haven't heard of an alligator in the moat or shark in the moat, but people are in fact building moats.

22:02

Speaker B

Being an alligator salesman I think feel like is unsloppable. I think it could be clankable.

22:34

Speaker A

Yes.

22:39

Speaker B

Still at the moment unsloppable.

22:40

Speaker A

But you gotta build a humanoid robot that can go in the water to wrestle the alligator and that might be.

22:42

Speaker B

We'll ask Fred Adcock.

22:48

Speaker A

Is it waterproof? British music producer Alex Grant was living in an under construction mega mansion in Los Angeles. One morning, shortly after 9am an intruder armed burst into the home. Grant said. He came in and we had a tussle. Grant managed to call his manager, who phoned the police. Soon officers and helicopters were on the scene. He briefly considered abandoning the project after the 2017 break in, but ultimately finished the 24,000 square foot home, which has eight pools, a car elevator and a nightclub. Wow. But he doubled down on security features, installing a guardhouse, tall gates and a security system with retina scanners that alert the homeowner to movement in the home. Later, I found out he had these knives on him, Grant said, who recently listed the mansion and a neighboring house for 85 million after moving to New York. In an era of high profile violence, including the suspected abduction of Savannah Guthrie's mother from her Arizona home just over a week ago. The wealthy are investing heavily in their personal security, particularly when it comes to their homes. Security measures once reserved for presidents and royalty. Safe rooms, biometric access controls, laser powered perimeter defenses. These are now mainstream items in luxury homes. Executive protection teams and armed Guards patrol gated enclaves and suburban estates, while tech startups are rolling out predictive threat detection systems built for the ultra wealthy. The shift reflects a hardening view among the affluent. Traditional policing and communal safety are no longer enough. No security. So security is being privatized and customized. The new emphasis is reflected in sales data. Roughly 45% of luxury homes in 2025 included a reference to privacy or security, up from 38% the year earlier. So break ins at the homes of celebrities and professional athletes have been putting the wealthy on edge. A group of Chilean nationals was indicted last year for stealing items worth more than $2 million from sports stars including Kansas City chief players Travis Kelsey and Patrick Mahomes.

22:50

Speaker B

This had something to do with the visa process with Chile, where you could very easily get a tourist visa. So there was these like base the allegedly there were teams that would be permanently based in the US and then they would be running kind of the operations. They'd be in the kind of war room and then basically tourists would come for two weeks, hit a bun bunch of houses and then bounce.

24:45

Speaker A

Wow.

25:08

Speaker B

And those were the only people that were actually exposed to or exposed, meaning they were like carrying out the different ops.

25:08

Speaker A

The homes of celebrities like Brad Pitt and Nicole Kidman have also been broken into. Miami real estate agent Danny Hertzberg of Coldware Banker said he began noticing an increase in emphasis on Security in 2020, when high profile executives were migrating from New York to Miami during the early days of the COVID pandemic. Corporations are taking note. Companies offering personal security benefits for CEOs increased by 10%. One entrepreneur capitalizing on this growth is David Weiderhorn, who got into real estate after selling a tech company in 2017. He recently built a heavily secured home in Scottsdale, Arizona. In early December, Weiderhorn walked through the 8,600 square foot property, pointing out 32 casino grade AI powered facial and vehicle recognition cameras. There's also a laser intrusion detection system around the perimeter. Pausing at a steel double gate in front of the house, he warned that the security system kicks in even before visitors reach the front door, which is fashioned out of 3 inch solid, 3 inch thick solid steel and has 13 deadbolts. He said even the landscape was designed as a deterrent. Cacti Sour orange trees. There are sour orange trees with 4 inch spikes in concrete planters on the edge of the property. And just beyond those trees separating the house and the street, a moat, gators. A moat, gators. If you try and run through that bush, it will be a Bad day for you, he said.

25:15

Speaker B

New York Post Sundays, have an AI girlfriend or boyfriend. Now there's a bar for you. There's a Hell's Kitchen establishment that has been redesigned for those who have AI partners so they can bring along their phone for romantic evening. Very, very dystopian. Her moment. But not entirely unsurprising that this bar is pivoting to AI.

26:43

Speaker C

I mean, it's a good day to launch, right? Because four O is.

27:04

Speaker A

Four O's deprecated today.

27:07

Speaker B

Well, it is Valentine's Day weekend. But before we go, Tyler, we did have a recommendation for you this weekend. You mentioned that you've been seeing a lovely lady and we thought this was.

27:09

Speaker A

Supposed to be abstract.

27:22

Speaker B

We thought this was supposed to be.

27:24

Speaker A

A recommendation for the audience.

27:25

Speaker B

Yeah. Well, now it's direct. There's a girl that maybe can't believe you're doing this. Maybe Tyler likes. And we were just saying, go. Surprise. Tell her, hey, tomorrow, just have a bag ready.

27:27

Speaker A

This is so out of pocket.

27:39

Speaker B

Have a bag ready. We're gonna go do an overnight trip.

27:41

Speaker A

Yeah.

27:45

Speaker B

Find a nice hotel.

27:46

Speaker A

Nice hotel.

27:47

Speaker B

Check in.

27:47

Speaker A

Staycation. Basically, you're not getting on a flight. You're just going somewhere local, but somewhere nice.

27:48

Speaker B

And so. Yeah, somewhere nice.

27:52

Speaker A

Yeah.

27:53

Speaker B

The be easy. Easy to set up. Check into the hotel.

27:53

Speaker A

Yeah.

27:56

Speaker B

Maybe get her kind of a spa day. She goes to the spa, you sit down. And she doesn't know this, but you actually booked her an eight hour spa, like a full day thing. You sit down.

27:56

Speaker A

Time to lock in.

28:08

Speaker B

Time to lock in on some cheesy pint.

28:09

Speaker C

I have cheeky pint. I have Dwarkesh Oreo.

28:10

Speaker B

Yeah. Yeah. You got a lot of stuff. So lock in and then just start getting Guinness on room service. 21 now.

28:13

Speaker A

Pint for pint.

28:18

Speaker B

Go, go. Every time. Every time.

28:19

Speaker A

Every time AI is mentioned, you take each.

28:21

Speaker B

Yeah. Or every time John takes a sip, a sip.

28:23

Speaker A

Drink a whole beer.

28:26

Speaker B

Yeah. And you basically are gonna have 24 hours.

28:27

Speaker A

She comes back eight hours later from her eight hour spa treatment and is like, what were you doing?

28:29

Speaker B

And you can just catch her up to speed on everything. You watch. And I think they really appreciate that.

28:33

Speaker A

What did you say? You haven't listened to Dwar Kashiellia.

28:38

Speaker B

We hope you all have a wonderful weekend. We love you.

28:43

Speaker A

Yes.

28:46

Speaker B

Thank you for hanging out with us this week.

28:46

Speaker A

We will be back Tuesday.

28:48

Speaker B

Really?

28:49

Speaker A

Yeah. Markets closed.

28:49

Speaker B

I did not know that.

28:51

Speaker A

Yeah. I'm learning this for the first time.

28:52

Speaker B

Learning this for the first time.

28:54

Speaker A

Yes. We experimented with streaming on holidays. And there was not a lot of news. So we'll be back Tuesday, 11am Pacific. We'll see you then.

28:56