Travis’ Uber Comeback, AGI’s Stakes, Meta’s $100M AI Hires & Prediction Market Gold Rush | E2144

What you'll find is the build quality is pretty amazing. This is why the tariff wars are upon us. I think a lot of the eu, the United States, they're all like, yeah, you're not going to be able to sell this in America without a 100% tariff or a 50% tariff or it will wipe out. When I say wipe out, I mean wipe out all European car manufacturers, all American car manufacturers. It would be devastating. And that's why places like Korea don't allow these things to be imported.

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All right, everybody. Welcome back to this week in startups. I am your host. Jason Calacan has been doing this since 2010. Oh, my Lord.

Holy crap.

Yeah, it's a long time. And my co host Alex Wilhelm is here. How are you, Alex?

I'm good. It wasn't 10,000 degrees today in the northeast. It actually rained a little bit. So everyone's coming out of their hiding. And now.

Great. It's nice we have. Heat has been an issue in the country, but in Austin, we're having a very nice summer. It has not been hot for Austin standards. It's been in the 90s, which I love. But not over a hundred, because when you have bulldogs, no bueno. When it hits 100.

Oh, yeah, yeah, yeah. Tough for them to stay cool. Don't they have to pant a lot to kind of like get rid of the heat?

That's it. They have five ways to dissipate the heat. Panting with their tongue and then their four paws. You never want to pour water over a bulldog because it will quickly. Their fur will get hot and then they're just wearing a hot, wet blanket. But if you pick them up, my understanding, you can check with your vet. If you put their feet in cold water, their paws will cool them down quite quick. And I've done this a couple of times. When they get overheated, put a little ice in the bathtub. Put a little water in the bathtub just up to their ankles and put them in there. And then all of a sudden they're nice and cool and eventually they lay down in the ice cold water. Cool them right down. All right, there's your bulldog tip of the day and let's get into it. Lots in the news, including my captain. Oh captain, my captain. My boy Travis is in the news. I want to start there.

Yeah. So this is a story that I did not see coming. My favorite type of news story, but for context, Travis Kalanick, former co founder of Uber, former CEO of Uber and left the company under slightly acrimonious terms around eight years ago when, well now he might be teaming up with Uber yet again because Uber may help him purchase the US arm of Chinese self driving company Pony AI. And I love this for like 17 different reasons. Before you talk though, Jason, I want to say Pony AI stock did go up 12% on the news and Uber picked up a couple points as well. So the stock market seems to like it. What was your first thought?

Well, you know I've been speculating for a long time that Travis might come back and become the CEO of Uber. This speculation is just wish thinking on my part. I have no inside information. Dara's done a fantastic job so it's no dig to him. But eventually I think the founder should come back Steve Jobs style. I obviously was the third or fourth investor in Uber and an investor in Cloud Kitchens and I have no inside information on this. This was a surprise to me as well and I have not talked to Travis since. So lest you think any of this should inform your investing, don't because there's nothing here. But I will say it's anybody's game, the self driving space. And if Travis has Cloud kitchens cranking like he does, there is an opportunity here, and the opportunity is fairly obvious to provide self driving cars in order to deliver food directly from their kitchens. And Doordash also has these aspirations. They're running their own, their own drone delivery. Now I don't know if that's public knowledge, but I've heard this over and over again from multiple competitors. So maybe you could somebody Producer Oliver. That's where you have a chance to shine. So there have been reports that Doordash wants to get into that business. It is public. Okay, great. They are Indeed. Yeah. So DoorDash is making their own drones. I understand. And Zipline has their own relationships. We've talked about that countless times here. And in fact I'm sure Zipline is in the Twist 500. We should have the founder back on the pod because I'm Friendly with him on the screen.

If you're watching the video, that is the doordash drone. Jason. It is a beast. I think that's because chicken sandwiches weigh quite a lot and if you want to order 17, got to have a big drone. I love it.

That's not the reason it is. If you look at the zipline one, it's smaller. I think the reason is there are probably envisioning a world in which groceries get delivered as well. And I think the door dash drone is going to be also for delivery of groceries. So you got to keep that in mind. Currently, zipline, I believe is £8 is their design. I'm not sure what that design, but it looks like more. Right. So you have to think beyond just burritos and chicken sandwiches. You could actually get to the point where your milk, you know, your cookies, etc. Like 10 items get delivered and that's going to change the world. Most people live in a city and they'll get served by that Serve robotics, which is a publicly traded company, I understand.

Yep.

And so that's the little four wheel robot. Anyway. This is all coming fast and furious. The future is coming. It's going to be here. And I think the. I think the Tesla rollout has answered a lot of questions and I think the question was how far behind are they? How far ahead are they? What's their timeline? And I think the timeline is what I've said here, which is no shame in the safety monitor game. It should take six to 12 months in each city's having safety drivers. So no shame in the safety driver game. I'd love. And I think we've seen now with the rollout in Austin that they're going to have safety drivers in there for some number of months, rides, et cetera. And that's the way it should be done because there's lots of edge cases. Twitter right now is filled with even the small test. The amount of scrutiny Tesla is under is absolutely fantastic. That kind of scrutiny from haters, Tesla Q short sellers, that's what makes the team get really focused on the edge cases. So they're under a massive microscope. So be it. Is it fair? Is it unfair? Who cares? It is what it is. And I think what we're gonna see is they'll iron out those features. But it's anybody's race right now. Volkswagen pony, we ride doordash zipline. It's gonna be 20 people and it's gonna take so long for this to play out. I think we're in the second Inning is, you know, it's not the first ending. The first inning was the last two or three years when people were preparing this technology, supervised fsd Waymo, you know, pilot cities. Now we're in the second inning, getting a little more serious. Going to have an impact on revenues. Not this year or next, but maybe in 2027. And that'll be like the third or fourth inning. The end of this decade's the third or fourth inning, when we actually will see the numbers become material to one of the players. Probably not Google, perhaps not Uber, definitely not Tesla. But they'll start to become material for maybe Serve and Pony AI. We'll start to see those companies reach some level of revenue that is decent.

So you've touched on every angle of the story but the one that I was thinking about the most.

Okay.

And that is why Uber would put up, I presume, the capital for Travis to buy Ponyta's US operations.

Yeah.

Is that a hedgehog? Is that them simply having something in their back pocket, Jason, in case their partnership program don't work out? Are they worried about Tesla coming into the game and taking away their market share?

Yeah, great question and a couple of good theories, actually. Darris, a statesman. Darris a statesman. London was pretty pissed off at Uber, if you remember, and Uber was going to get kicked out of the uk Somehow he pulled a rabbit out of the house, smoothed things over. Waymo was gonna run over Uber. Somehow he figured out how to make a partnership. Dara is the ultimate soft power partnership statesman. He could run for president. If he did, I would run the campaign. Dara is an exceptional, exceptional executive in this regard. If Travis was gonna go out and raise money, he can raise money from any number of sources. What this does is it creates a deeper relationship. There already is a deep relationship between Cloud Kitchens and Uber. And what I would say is this sets up the eventual acquisition of Cloud Kitchens, Pony and Uber into one company. If that happens now, you've got a really great, formidable number one player by far. And Doordash would be the loser in that one. So he'll. Yeah, shout out to our immigrants. They do get the job done. And Dara is an immigrant. Yeah, like, like many of our great founders here in the United. Anyway, I'm really excited about it. Incredibly smart move by Dara if it's true. Maybe they pop in a quick 500 million into it. Maybe some sovereign wealth funds, maybe some other investors, private equity. They all get involved. And you know, Travis is an exceptional, exceptional executive and he thinks very big. If You've built what's now almost a $200 billion company. As you mentioned earlier, Uber is at its all time high. He's thinking about the chess board and then the backgammon board and the tennis court and wakeboarding all concurrently. He's not playing 4D, 5D chess. He's playing 20 different games at once. He's a master strategist and has a resiliency that is only matched or surpassed by Elon in my estimation. In terms of resiliency and effort, these are just the two top executives pound for pound in the world right now. Founders are all about performance. That's how we do it. That's why founders are optimizing every part of their startup, whether it's your CRM, your cap table, your hiring process. But when's the last time you optimized yourself, your health, your mental wellbeing? Well, now there's a way for you to monitor all this and manage it better. It's called Superpower. I am obsessed with this company. I've gifted it to like five of my family, family members and team members already. It's the ultimate founder health membership and it keeps high performers at their peak. You do full body testing across a hundred plus biomarkers. You can do it today. Just visit superpower.com twist and get $50 off your membership. This is only for the first 100 Twist listeners. Go get your Superpower membership today. You're going to love this product. Gorgeous interface, gorgeous workflow. Because better health equals a better founder, which means a better business, better outcomes. You're going to be happier in life. I wish I had this 20 years ago, but I'm going to use it for the next 20, 30, 40, 50 years. Whatever I get on this planet. I'm going to be a subscriber to superpower.com twist there goes my last question.

Which was what will he do with cloud kitchens if he takes over Pony AI's US operations? And I think you just said the answer is why not do both? So there we go. Yeah, yeah.

And I did say countless times on this show that there'll be massive consolidation on the road to what I think is a $10 trillion prize. I think all of this put together is going to be somewhere in the order of $10 trillion, which would mean at three or four times sales, it's probably three or four trillion dollars in market cap. You could see an Apple, an Amazon, a Meta, an Nvidia level player in this space, and if you put doordash and uber together, that's 300 billion maybe. So that means there's a 10x, a 20x in this space. So you'll start to see some massive consolidation and it's going to be fragmented on the hardware.

You know what's really interesting about that Jason, is if you add up the value of all non Tesla automakers, the dollar amount's not that big but our view is that the self driving market is going to be that big. And I think that's the power of asset light businesses that are less cyclical than literally stamping out doors and making F150s.

Yeah, I mean the, the car business is a race to the bottom. The network based marketplace business is, you know, two or three players and you know, high margin. So if you need to own some of the hardware in order to make it happen, so be it. But it'll be commoditized, the commodification that's going on. I saw Xiaomi had a big launch I think today of one of their new cars. Xiaomi is a handset manufacturer that decided to go into the car business and car aficionados are freaking out. There are two things right now in the car industry that people are losing their minds over. One is the new Corvette Zora which is like a ZR1X I think is the name of it. It was codenamed Zora. It's a supercar hypercar is the category 1250 horsepower for 200k or something. That one is blowing people's minds and the other one is Xiaomi. And I'm going to get that Zora by the way. I'm going to get myself a supercar hypercar at some point here. Yeah, that's the other big one is Xiaomi and I don't know if we have the brand name but we can pull it up.

Yeah, it's the YU7. And Jason, what I'm about to show is their page on Weibo, which is kind of like the Chinese Twitter, Chinese X if you will. And this shows what I think is the most interesting milestone. They claim to have sold over 200,000 of these YU7 cars in three minutes. And then that number went up to nearly 300,000 in an hour. Now deposits versus purchases, I don't know, but demand for this thing is absolutely off the charts. And I think it just goes to.

Show that 7 is what it's called. Yes sir, would be good to show it. Let's see if we have a picture of it because I will launch today and the price has undercut the Tesla Model Y. Yeah, So I guess this is not the super fancy hypercar. Not hypercarp. They have one that is like a real sports car, kind of competes with a Porsche or a Corvette. Yeah.

It's called the SU7 Ultra. And that one just beat its own record around the Nurburgring. And if you're not familiar with the Nurburgring, it's a semi open famous racetrack in Germany out in the woods. And it is long as hell and super technical and difficult. A great place to test road cars. Setting a record there is kind of like the equivalent of El Amarina.

But for car makers, I don't know what Ellen Marina is, but it is the number one place where they do these. And I think the Model S plaid hypercar is the current winner and I think the Corvette's just beating it now. Like literally this week it's on the track. So yu7 is the model Y competitor. Let's see what that looks like. Okay, there's your frunk. Okay. Pretty big. Yeah. It's got like a airport roller bag in there.

Yeah. It's kind of good looking, Jason. I think I like it.

Yeah. Scroll ahead to the interface in the interior because that's where these things really shine. It's got 400 miles of range and it's $35,000. So it is priced very low. And you look, it's an exact rip off in the interface is the exact rip off of the Tesla, which is crazy when you think about it. Like they literally copied exactly. Yeah. Beautiful interior. Yeah.

Yeah. Let's take one more look at it, see what we can find. That's different. Just the screen here.

Yeah. Let's see the cockpit. Yeah.

Here's a better shot of it. And then they're going to turn around here and show us the back, which looks fine.

Yeah.

I could put two car seats in that.

What you'll find is the build quality is pretty amazing. This is why the tariff wars are upon us. I think a lot of the eu, the United States, they're all like, yeah, you're not going to be able to sell this in America without a 100% tariff or a 50% tariff or it will wipe out. When I say wipe out, I mean wipe out. All European car manufacturers, all American car manufacturers. It would be devastating. And that's why places like Korea don't allow these things to be imported. Just way too cheap. I also think there'll be some safety standards that they don't reach. Build quality to start. But we said the same thing about the products coming out of Japan. And then eventually they exceeded. So. All right, they have it folks. A lot of big news going on.

Yeah, Kia was a joke when it came out and now it's not. All right, one of our favorite things in the world, Jason, is keeping track of what's happening. You and I both love a wager, a bet, a gamble. And that's why prediction markets have always been up on our list. There's some big news from both Kalshi and Polymarket that I want to touch on today. First of all, Kalshi raised 185 million at a valuation of around 2 billion. That's an enormous amount of money at a very high valuation. And don't forget, they've also partnered with Robinhood, so they're doing quite well as far as we can tell. And then the other item is that Polymarket, their arch competitor, is reported to be raising as much as 200 million at at least a billion dollar valuation. And I believe Founders Fund is pipped as the lead investor there. So we, we're about to see this Uber Lyft kind of competition between these two well known companies go insane because they're about to each have nine figures of extra cash on hand, which I think is going to lead to a lot of innovation and advertising. But I do worry about burn a little bit when I see two competitors raise this much money so quickly.

You know, we're in a different era. These are asset light businesses. I don't think they're trying to like do what Uber and Doordash did or Lyft and Doordash where they're losing money on every transaction. And I think the Poly Market valuation's misreported. I'll leave it at that. Yeah, I mean, a Poly Market's a big company. These things are becoming, I think these things will replace in some ways expertise or augment it. The idea of like listening to a journalist or a podcaster or a news reporter or a newspaper kind of predict the future or try to report the news. There's a group of people who are going to just say like, why would he even bother reading this story or listening to, you know, whatever it is, Fox Business, cnbc. I don't need to hear somebody pontificate on what's going to happen in this election, in the sports event. I can listen to it if I like the, you know, the commentator. I'm just going to look at the Poly Market. I'm just going to look at Kalshi. I'm just going to look at these prediction markets and I'M going to start there. So starting with what the sharps the most skin in the game individuals think will happen is where people are going to start. So these things are going to really change the world. When you're a busy founder finding a new developer, my God, that can become a full time job and you've got enough on your plate. I mean you're running a startup but Lemon IO has done the hard part for you already. They've got a crop of pre vetted developers that they've ensured are experienced, results oriented and prepared to make an impact at your startup and they can work right now at competitive rates. These are skilled handpicked devs with a minimum of three years of on the job experience and just 1% of applicants are accepted into their program. Lemon IO isn't just recruiting you the top talent that's out there, they're helping you integrate them into your team. If anything goes wrong, Lemon will find you a replacement developer asap. And many of our launch founders and founder university companies have staffed up with Lemon IO and we always get the best feedback. So go to Lemon IO Twist and find the perfect developer or even a tech team in less than 48 hours and Twist listeners get 15% off their first four weeks. Stop burning money. Hire developers smarter. Visit Lemon IO Twist and there was one if you look up in trade, the idea of a prediction market is 20 plus years old. In trade was something that VCs used to share information on and it went away. Maybe you have to look at the Wikipedia page, but it was a web based trading exchange whose members traded contracts between each others on the probabilities of various events occurring. They had to exclude US traders in 2012. They suspended all trading in March 2013. So this thing in the early 2000s, you know, and it started actually in 1999 I guess maybe. When did it start? Yeah, it says founded.

According to According to intrade.com it was 2001 that was founded in Dublin and did take part in the 20082012 US elections and was known for its accuracy in those events. Here's my question though. We have a Poly Market segment coming up and I go through Polymarket on a daily basis to keep tabs of what people are interested in betting on, predicting whatever phrase you want. Sometimes though, I'm a little surprised that there's analogs elsewhere in the market. You know we talked the other week about the NBA Finals and how Poly Market was essentially handicapping that event. Well, we also have sports betting that has odds. There's Things about the Fed and so forth. People are also making bets on Fed movement in other parts of the market. So what I kind of like about these isn't that they're always creating new territory of information, but they're bringing what used to be relatively spread out information into a single location. I think that's great for people who don't have access to, you know, expensive financial information or every betting platform, for example.

Yeah, it's just the start. These things are going to get bigger and bigger and they're kind of acting in real time now. So that is one of the nice things about them. Whatever's happening in the world, they will pop one up for. And there are infinite applications for these, from the entertainment value of them to people who actually have skin in the game and need to hedge some outcome. So if you lived, I don't know, somewhere during fire season, instead of buying insurance, maybe you buy a contract. And what's the chances that there are huge fires in this area? Santa Rosa, Right. Or Napa. What are the chances there's a major fire that burns over 500 acres in Napa? It's a. Whatever it is, a 5% chance. Okay, your house is worth a million dollars. You decide. You know what? Every year I'm just going to put $5,000 on that outcome happening. Eventually I might hit it. If I don't hit it, great, my house didn't burn down and I just don't get insurance. So there's going to be really interesting concepts like that maybe you do this for your car, maybe you do it for other situations like that. Right. All these insurance concepts might be able to be done by prediction markets and it's really exciting future.

Yeah. So prediction markets then become sports betting, economic markets, insurance replacements, and a way to get rid of CNBC all at once. How can you not love it?

Yeah, I mean, we don't have to get rid of cnbc. It just becomes a tool for cnbc. Right. I think that's what you're starting to see is people mentioning it in news stories like we do here. Right. In fact, that's why I wanted to do the deal we did with Polymarket. We have a deal with them here and then all in has a deal with them. And part of the deal is they'll pop up markets for us or we have a fast track to making markets with them and that's really good for us. So we could create a market right now on the chance, you know, who does the most rides in ride hailing, you know, or the Chances that Travis buys Pony AI. We could literally make a prediction market for that. So you could bet on the public stock. Pony AI. You can't. You might be able to trade secondaries in cloud kitchens. I don't think they allow it, but theoretically you could, and you could create a poly market. So imagine that if you had three of those bets going. It's all different ways to hedge and understand the world better. I just love that this exists. What I really love about it for young people, for commentators, for journalists, for people who are host of shows, is you have to up your game. You really have to be thinking in bets and understanding possible outcome. So I just think everybody's going to get much smarter.

Well, I think it makes you smarter. I'm learning stuff from Polymarket. I picked a market for us today and I was trying to think what is something that Jason loves? And I know you and Lon, producer Lon are big fans of movies and I'm a big fan of Formula One, and I happen to find a polymarket that makes everyone happy. So if you take a look at this right here, people over on Polymarket are making bets about how well the upcoming F1 movie with Brad Pitt and is going to do in its opening weekend. Not aggregate performance, not total box office, not lifetime sales, not ranking on Rotten Tomatoes, just open weekend, open weekend. Very simple, very easy to find out. And to my surprise, after I looked through this data, which, if you can't see the video here, there's currently a 52% chance that it opens and does more than 55 million in its first weekend. 35% people think 51 to 55, and then 11%, 4651, and then below, that's a little bit lower. But what's interesting, Jason, is that this is contrary to what the market currently thinks. I looked into it, and according to reporting from Variety, the insiders in the film industry think 30 to 40 million dollars worth of ticket sales in the first weekend. Polymarket folks are saying, actually it's going to be higher. So we're going to have a fun test year of who's right. But everyone's thinking this movie is going to do quite well. I pulled a list of the largest opening weekends in the US this year, and 55 million would put it ranked at seventh. So not bad.

Yeah. I think this is where you can start to wonder why, right? Why does the film industry think it's going to do worse than this market? And then how this reconciles so there could be some reconciliation of this wager bet prediction market that causes that kind of difference. And so it might be how they record the weekend if they're including Thursday, Friday, Saturday, international versus domestic, who knows? But that's the devil's in the details. You got to get into that. I, you know, I, I guess the box office has been terrible. People don't go to the movies anymore. But F1 is, you know, riding a really hot wave, so it has some sort of endemic audience. So that's, I guess, what you're betting here. I mean, if I was going to take this, I would go with. I think I'm taking the under. So I might take the first couple of categories, like under. Maybe I put the bet on 51 million and under. So I would take like 51 and under, and I guess that takes you down to 47 and under. I would take some combination of the under. I don't think it's that strong.

The odds are quite great because people only are giving it a 2% chance to come under 43 million in the first weekend. There is, by the way, on the Polymarket page, if you're curious, a lengthy rules section that breaks down the exact length of the weekend and so forth. If you want to get deep into it. I'm just glad that people are making wagers on my interest, which makes me very happy.

It's kind of interesting when you look at it. Minecraft movie, $162 million opening, Lilo and Stitch, which is IP Captain America, IP how to Train youn Dragon, IP Thunderbirds, IP Mission Impossible, IP Final Destination, Bloodlines, IP. So we take all those together and everything is IP based. IP based, as in, like these are sequels or based on a video game with a big following. Now, is F1IP based or not? I think it is, right?

I think it is. Yeah. I think it falls under that bucket.

Yeah. Like Minecraft does. Right. So it exists in the world with a fan base. So that would argue that it's going to do well. I don't know how big it is. That actually might be how I'd back into this. How many Minecraft players are there versus how many people in America? How many people play Minecraft versus how many people watch F1 in America. And then you might be able to figure out how do those two things relate? Right. That could be very interesting. And then you could do it with the Barbie movie. Like how many people buy Barbies every year or have bought Barbies in list three years. There's some sharp person in the world who is doing this, who works at a movie studio. And then there's an even smarter person who works at home and hangs out on Reddit or in the Polymarket forums also doing this. So to the point, there's like a career of being a sharp here and figuring out what you could correlate with these things. Yeah, If you're a startup founder, you got a million things to worry about. You got hiring, product, market, fit customers, investors, board meetings. It never ends. And that's where Pilot comes in. Pilot is the largest accounting firm built for startups. They know how high stakes your finances are, right? The book's got to be perfect. And that's why companies like OpenAI, Scale, AI and Airtable trusted them with their books from day one. With Pilot, you get a dedicated team for everything. Bookkeeping, taxes, even CFO level guidance. And when it's time to raise that next round or scale up, Pilot's CFO services team can help you plan and grow with confidence. Startups using Pilot raise a bigger series B and C than the average startup. Why? Because when you're buttoned down from the start, everything else gets easier. So focus on your product. Let Pilot handle your bookkeeping. This week in startups, listeners get twelve hundred dollars off their first year. What a generous offer. Go to pilot.com twist create domain name.

Even better product Seeing some investors become the world's best investigative journalists. I mean, every short seller does reams of research, right? When Hindenburg or someone else drops a report, it's. It's in depth. And all that would go to making the prediction markets more accurate to give us a better view of what's going on in the world. So shout out polymarket for all that they do. We love taking a look. Jason, I want to talk a little bit about OpenAI and Microsoft. They're in an interesting tiff right now and I'm hoping to talk about what founders should think about strategics. Just for folks who don't know, right now, OpenAI, the famous AI foundation model company, is trying to rejigger its corporate structure. Essentially, Jason, form a public benefit corporation so that way it can eventually go public. There's a stumbling block called Satya Nadella, the CEO of Microsoft, who not only wants a large equity chunk in that business, but also wants protections for his own company. Not a surprise, given the money he's put in. But the current sticking point is not so much the equity stake, it's more about the definition of AGI. Now that matters, because in the initial OpenAI Microsoft contract, once AGI is reached by OpenAI AGI being artificial general intelligence, then they don't have to get their technology to Microsoft anymore. Otherwise they have to share it till 2030. And so as the two companies are trying to sort out this marital dispute, you might say there's actually a really tough problem of figuring out what AGI is and when have you reached it. And Jason, I don't think anyone has the perfect definition of what AGI is.

Shouldn't that be in the contract? AGI is in the contract.

The definition was sufficiently squishy that Microsoft was worried about that at the time, but they decided that one, they were behind enough in AI that they were just going to do the deal anyways. And also keep in mind, a couple years ago, AGI wasn't this thing with a three to five year timeline. It was, well, maybe in 2200 we'll have it. So it's kind of bitten them a little bit.

So what is the definition? Is the definition in the contract been released or discussed by anybody leaked?

I have not seen any language leaked about the formal wording about a definition of AGI. But I do have some notes from Satya about how he thinks about it that might provide a little bit of context.

So I mean human level intelligence and the ability to learn and understand as if you were a human is what most people say. There's also super intelligence, which is like a new term people are throwing around. You know, this is going to be very easy for, I predict, depending on what's in the contract. And if anybody has the contract, please send it to us or send it to me. Jason alicantis.com I'm curious what exactly it says in the contract because the devil would be in the details here. And if it does come down to that definition, that would take years to litigate. That would be like an unprecedented legal case. So if that does happen, I think Microsoft can run out the clock here and cause massive damage to OpenAI's ability to flip. And when they say Public Benefit Corporation, I just want to make sure people are aware of what that is. It's just, it's a corporation, it's not a nonprofit. It just means it has a stated mission and it's no different than a for profit shares will trade publicly trade it. It's essentially a virtue signaling for profit. If you want a virtue signal, start a B corporation. You can look it up online, but essentially you state a mission, I don't know, to index the world's information, to make it freely available to people and then the board has to take that into consideration along with the shareholders. It means nothing. It was a clever way for, I think, OpenAI to put a little shine on this and maybe say, oh, well, we're still going to be a benefit corporation. We're not going to, you know, just like a nonprofit. A nonprofit is distinctly different than a for profit or a benefit corporation. A benefit corporation is exactly the same as a for profit with that little tiny nuance. It has nothing to do with a nonprofit. They have a certain amount of time to do this. What happens if OpenAI cannot flip to a for profit? Because wasn't the MASA deal somehow connected because he was going to invest some tens of billions of dollars that they need, but that would require them to be a for profit?

Yeah. So I think there's an enormous amount of pressure on the two companies to come to a deal. And look, there's been a lot of reporting about tensions between the two businesses already. This is just one layer on top of it. And by the way, Jason, the Journal reports that to declare AGI, the OpenAI board just has to do so in quote, good faith. Now, Microsoft could respond with a suit, but there's not some like, iced out formal definition that I can see from the reporting that would say, here's the definition you have to meet. So this seems like a pretty big miss on Microsoft's part back at the negotiating table years ago. But if they don't let OpenAI convert and if the relationship falls apart, then I guess Microsoft just gets access to their tech through 2030 and then they, they walk away from it.

They have access to the weights and the whole model. So they don't need OpenAI. They get that. Oliver saying here, the two companies reportably signed an agreement last year stating OpenAI has only achieved AGI when it develops AI systems that can generate at least 100 billion in profit profits. Is that a quote, Oliver, or is that. That's a tech.

My understanding of that there's a higher level of AGI called sufficient AGI, and that is predicated on the ability of the systems to generate enough money to essentially repay Microsoft, which is a slightly different point than the AGI point, which is the technology shifting point. So there's actually two different competing definitions, but we're not at AGI yet. I think the idea of having another layer above that is today about as far fetched as AGI felt three or four years ago. So I would put it in that one.

Let's stick to my point here for a second. This is in that story from TechCrunch.

This is what I was referring to. OpenAI can also declare a higher tier of AGI called sufficient AGI when its AI systems are financially capable of paying Microsoft the future profits to which it is entitled. That, I believe, is the same hundred billion dollar milestone that TechCrunch is reporting.

Okay, so OpenAI can decide they hit AGI. If they generate 100 billion in profits. They're at 10 billion in revenue, they're at 0 billions in profit, they are negative. To make 100 billion in profits would be. They would probably need to have, I don't know, if they had a 50% margin, they would have to be at 200 billion. They'd be 20 times. They're not going to grow 20 times anytime soon. That's a colossal amount of revenue. Huge. So they're not going to hit that. So then there's somewhere, which we don't have, another definition of AGI that's in that contract. Is that so? Am I correct in my understanding?

Starting at the lower tier, OpenAI's board can say, We've reached AGI. The requirement is good faith, and at that point they no longer have to share technology with Microsoft. The higher tier is when their systems are able to generate some enormous amount of money. Techwich is 100 billion, the Journal says the ability to repay Microsoft all of its future profits. Essentially, these are escape hatches for OpenAI to break free from its ties to Redmond. But I don't think we're going to see either one broached, breached, broken through. Because my guess here, Jason, is that this is a lot of spitting on each other in public to kick the tires on a deal they're going to land in private. Like, do you actually think there's a chance that these two companies cannot find a deal that works for both sides?

Well, Satya Nadella, he, he makes this point I see in the notes here, us self claiming some AGI milestone. That's just nonsensical benchmark hacking. To me, the real benchmark is the world growing at 10%. So he's putting it on. And this was on the Quantum. What podcast is this?

I forget his name. It's the Dwarkesh podcast.

Dwarkesh podcast. So I guess he sees this coming and he is sort of getting ahead of this negotiation and saying that publicly. Wall Street Journal says the contract only requires that OpenAI's board declare AGI in good faith, though Microsoft could easily sue the company in response, risking a drawn out legal battle. Okay, so to be more clear here, I think the Clearest way to say this is OpenAI can do it anytime they want. Good faith is a very squishy term. So they will probably do that at some point and then Microsoft will sue them. There's also this nonsensical massive amount of capital that could be a massive amount of profits that could also trigger it. Since that's not going to happen, this is going to come down to one person claiming it, the other person not claiming it. And based on what Satya Nadella has said here, he's not going for that definition. So he's going to Wreak havoc on OpenAI is my prediction. He's going to slow roll this. He is going to scuttle them in order. This is what a cutthroat person would do. A cutthroat person would. And Satya is one of those, this is a pretty significant competitor they have and he will make their lives miserable. Sue them, block anybody from investing, claim all kinds of interference and not allow them to get away with it. They will try to get away with it. And then the question is, does this become so distracting over the coming years that it will give Microsoft and consequently other competitors the ability to beat OpenAI, who has run away with it in terms of consumer adoption? So I think that's what's going on here.

I, I would have bet you a hundred dollars you were going to say, look, they're going to sort it out. This is just them, you know, picking a fight in public. Okay? So that actually makes no, there's no.

Upside to picking a fight in public. The upside is in winning whatever the AI race is worth. So if you put it through that lens, Microsoft's biggest competitor is OpenAI. Microsoft's biggest competitor is OpenAI. Everybody's biggest competitor is OpenAI. If everybody goes to OpenAI to solve every business problem, every search, they're competing against Microsoft Office. They're competing against the hardware platform Apple has with their new Jony I've product. They're competing against every piece of SaaS software in the world. That's what AGI would do. Therefore, his most strategic mission is to win AI. Therefore he has to beat OpenAI. What's the best way to beat OpenAI is to have all their technology, build parallel technology so you've got all their innovations plus your own. Then starve them from compute while you build up your computer, force them to try to raise money to keep up with the compute race. And then they can't keep up with the compute race because you just blocked Masa from investing. So What Microsoft should do is sue anybody who wants to invest in OpenAI and say this company is stealing from us, they did something untoward and then that might scare Masa from investing in it. Right?

Well that is very Machiavellian. And Satya is a person that I have known historically a little bit, always very nice in person. I've never done a deal with them. So I'm going to take your your word on that, Jason. But I want to loop this back to startups because I'm curious what the lesson here is. Because when they signed this deal it was strategic, people were very excited about it. Do investments from strategic partners into startups often go wrong? Clearly on a lower scale. But like is this a common situation to be in?

The only reason for a strategic to invest in a startup is to own their business eventually and because they see them as a threat. Okay, that's it. People will delude themselves into thinking that there is some Kumbaya, you know, future world in which everybody gets along and splits revenue as this contract tried to do. This was something Sam needed to do desperately to get money and to get compute power. He did is a mess. And then he did the same thing with the corporate structure. He needed bucket loads of money, so he did a nonprofit. So now he's got to fix that mess. He then had a mess of a board who was missionaries and he had to get through that and win a power struggle internally. And all his co founders left to start competing products. So he's got three battles he set up here. One with the people who funded the nonprofit, one with the co founders of the company and the board who wanted to do a mission driven company, one with the state attorney generals to make this a for profit and then one with Microsoft. I mean he's battling four or five things that rocked the foundation of this company. And at the same time he's built this incredible skyscraper on top of this foundation. Now does that mean the skyscraper is going to fall? And it's quite possible that any of these could be, I don't want to say like it would kill the company, but it could make it impossible to flip into a for profit. They might not be able to flip into a nonprofit or it might be massively costly. What if they have to give the nonprofit all the profits up until some grand number or they're in litigation with Microsoft and become so distracting that something comes out in discovery. I mean it sounds crazy but. This is a distraction that even Sam Altman and this is an amount of convoluted Structure that even Sam Altman might not be able to navigate. And he's really good at navigating these things. Clearly he's a deal maker. But then success tends to solve all problems. But it didn't for YouTube, right? YouTube had to sell. So you look at the YouTube situation, they had massive amounts of lawsuits. They were not able to get out from under those. They wound up selling the asset and then it was Google's job to settle these. Maybe that's what happens here. There's not somebody who's capable of buying a $350 billion company right now. Maybe Apple, Microsoft, maybe Nvidia, Microsoft, maybe they could.

The top four or five companies.

Yeah.

Ah, see, I like that. That would be an audacious deal between two parties. By the way, great moment for a poly market. Will Microsoft and OpenAI resolve this deal before August 31st? I would take the other side of that one. But on the point about there being quite a lot of competition in the space, we do have some news from the Meta side of things. Meta, of course, social network company and also owns now a VR business and an AI business. So Meta is building a quote, super intelligence team. Jason mentioned that term earlier in the show. And they are out in the world trying to hire people that are well known AI researchers. The best of the best essentially. Well, they have snagged three people from OpenAI's Zurich office. That's Lucas Bayer, Alexander Kolosnikov and Shahuasai. And as far as I can tell, just, and I was trying to really nail this down, But I'm like 90% sure that's the entire OpenAI Zurich office. So they essentially just, they hired these three people. Originally the three were from Google, DeepMind. They stayed with OpenAI for a bit and now the three are going to their third company, Meta, to work on the super intelligence team. There's been a lot of speculation in the market about how much money Meta is willing to pay for this talent. And people were saying, hey, we've heard of this hundred million dollar number, maybe these guys got it. Well, Lucas Bayer did a tweet or an X post if you will, and he says, yes, we are joining Metta, but no, we did not get $100 million sign on. I'm sorry, I was hoping they were going to, but they have publicly confirmed the transfer of talent over to Metta. Kind of a coup is my read. Jason, I think this is quite a good result for, for Zuck.

I maybe I guess the question is are, you know, are these truly a players or not? And will they truly make a difference? It is talent. Talent is moving because talent might have been mispriced last year given what Zuck is willing to pay now. So almost everybody's contract is mispriced right now. So that means either people have to renegotiate with their current employer or get a competing offer to do it. The question I would have is for these three individuals on their LinkedIn when, how long were they at Deep Sea? Yeah, DeepMind at Google, that's their AI subsidiary. How long were they at OpenAI and then how long are they now that they're at meta? That second piece of data is the key where that OpenAI for a year, for five years. If it's four years, they're fully vested. If it's two or three years, they're 2/3 vested, et cetera. So looking at this, just looking at one of them, Alexander was at Google for six years, eight months, obviously did really well. He's a member of the technical staff and he was a staff research scientist at DeepMind. He's only been at OpenAI for seven months.

Lucas, same thing with Lucas Baer. Seven months, six years, four months at Google on the DeepMind team. So these people.

What about the third person?

I have not pulled them up yet.

I'm on it is five months. So this is super interesting. They all spend five, six, seven years at DeepMind. They've only been at OpenAI for five months and that is super interesting. They were. Yeah. Wow.

Not much.

Not much. And they came as a team, they.

Came as a group and they're leaving as a group.

Interesting.

They must be just besties over in Zurich. Just three nerds. Really good at AI enjoying chocolate, you.

Know, I guess, you know, this is the thing. DeepMind was based in Europe and I think there were a lot of people. Yeah. Based there. Interesting. Interesting that Zai Zhao Zai, who is in Zurich now, went to Nanjing University and Peking University where he got his PhD.

So two incredibly well known and prestigious kind of. That's like Harvard and Stanford if you need a comp.

Chinese PhD. Right. And this is like what we need to keep in the United States. So this race is international, as you can see. And yeah, there's going to be a lot of talent moving around.

I wonder if this is like, this is like the world's smallest union because these three left DeepMind to OpenAI together and they're leaving to Meta now. Did they just have like a pact between the three of them? Like we only go as a group if you Want one? You get all three.

They probably are working together on some project. So if we were to look up, like their names in papers, that's, you know, I think what I heard Zuckerberg is doing. He's looking at people's research papers, finding people's name in research papers, getting the email addresses, contact information, WhatsApp, phone numbers, whatever, and he's personally reaching out to them to discuss these things. So we're talking about a small cohort of low hundreds of people who are in these research papers, who are leaders in this. All right, so you pulled up Lucas Bayer, who got poached by OpenAI, spent five or six years at DeepMind, and this is Google Scholar, that shows his citation. So what we can see here in the top right in this chart, if you're watching us, is how many times he was cited and you'll see who he was cited with. And if you look right underneath that graph, who are the top two people?

The other two people that he's joining Meta with? His besties.

Yes. So Jay and Alexander are, I guess, the people who have collaborated with him a bunch. And what you're seeing here is he works in vision. So these are vision. It looks like everything he's done. Lots of articles here and vision models. So this means this is the vision team from OpenAI. They probably worked on what's the OpenAI vision product.

There's Sora. And then they released their new.

Yeah.

Studio Ghibli thing.

Yeah. So this is Sora. This is probably members of the Sora team. And so there you have it, folks. If you want to understand where to find these people, go to Google scholar, go to LinkedIn. You can see the background. This is what a recruiter is doing for Zuck and Mira, who also was doing Sora. Remember, she left to do her own startup. There was just new. She raised 2 billion at a $10 billion valuation.

Thinking machine Labs. Yeah.

Okay, so now you have her leaving. And this is an amazing way to frame all this, Alex. If you build the mental model, $10 billion in market cap was just created by Mira, right? Yep. Perplexity's got tens of billions of dollars in market cap. Meta has decided that their next trillion dollars in market cap is going to come from this. All of that opens up stock and future equity that people can start claiming now. So it's almost as if we went from. If you thought about it in a real estate way, okay, we had a certain number of acres in Manhattan. Now what if Manhattan became 10 times bigger? Now you've got 10 times as much land to divvy amongst a small group of people. These PhDs who are extremely valuable people, are starting to realize the market opportunity is bigger than people anticipated. Zucks realized that, Mira's realized that, investors have realized that. Now all that equity sitting on a cap table. So Mira's got to go. Okay, what do I have to give these folks? I'll give them 1% of her new company. What's her new company called?

Thinking Machine Labs.

Great. So this would be a good opportunity to pull it up if there's a webpage. So if she's got Thinking Machine Labs, let's say she wants to give. She created a cap in the cap table, a 20% equity pool. Let's say she wants to get 10 of these great scientists here. She might say, okay, 10% of the pool is going to go to the top 10 people I can find. That's $100 million in equity each. Each point is worth 100 million. What's AI worth? They combined it with Twitter and they put it at $100 billion valuations. I think I read they were raising at. So if that's 100 billion and half of it was Twitter and half x Twitter and half of was the new company, that's 60 billion. Each point of market cap there is worth 600 billion. So maybe they're offering, I don't know, 20bps to everybody. That equals $120 million in equity. So everybody in the space is worth $100 billion in equity. You know, 100 million, 100 million in equity. You know what that meant like 10 years ago. You know what these people were worth? They were worth a million dollars each.

Yeah.

Now they're worth a hundred x.

It's an insane amount of money. And it's predicated on everyone being right that these companies will all stay worth as much as they are. Because Thinking Machines is only a startup now with an illiquid stock. So its market cap is not quite the same. But I love your point. And I think it just goes to show that Meta's not nuts to go out there today and use all their capital to get these people. Not crazy at all.

It makes total sense that we're living in a world where this small group of talent who can make an impact. You know, it reminds me of is Hollywood. If you go to Hollywood. And this is why Michael Ovitz was coveted by Marc Andreessen and Ben Horowitz. When they started Andreessen Horowitz, they were thinking about developers and CEOs the way Ovitz thought about Steven Spielberg, the director, Michael Crichton the author and Tom Cruise and other actors, Tom Hanks, et cetera. They looked at them as these incredible assets with a very small, finite number of them that could actually make Jurassic park, that could actually make Mission Impossible, whatever movie it was. And that's what we're seeing in our industry. And that vision existed 10, 20 years ago for talent, but now I think it's manifesting because of this massive. And people have to make a bet, is this film that I'm doing that I have points actually gonna pay off? In the case of Jurassic park, it did pay off. All those actors and screenplay writers, directors, they all had massive upside in the eventual product.

One thing we've talked about, Jason, is how we're gonna have like the world's best driver and that's going to train the AI models and then everyone's going to have access to that best person. Just as a kind of a corollary, I think we're seeing the individuals at the absolute furthest end of the talent and impact spectrum, see their relative earnings compared to the top performers go up, which kind of feels like a similar thing, like a concentration of economic value at the apex of labor and maybe less elsewhere on the curve during this transition.

Definitely the concept of people who understand machine learning and who can build large language models and train them as a small number of people right now, that will not be a small number of people forever. If you are in computer science right now, you know what to study. Just get in there and start building. Because this is a ten year story, folks. We'll be sitting here ten years from now and there'll be a bunch of graduates going, man, I should have done that. Yeah, you should have do it now.

Now is the time if you want to stand out. Internships are great, but everyone's competing for the same thing. I think the best thing you can do to get a job right now is to somehow go viral on Twitter with an interesting project. Because every single potential employer will see you and they might reach out to you directly. You'll have access to the CEO versus the junior person on the, you know, HR recruiting staff that doesn't even know your name. So don't go through the front door.

These folks are not going to. Yeah. If you've got this kind of skill level, build products with your friends and start a company and email me and apply devout university or accelerator. That's the other thing that's great here. Is any of these people those three people could have left and raised $50 million, $100 million with an idea. So they probably explored that maybe they didn't want to be founders and they just decided. And I've been meeting academics who are starting companies now. First time founders who spent their time getting their PhDs and who are academics have no idea how to run a company. So we'll see. It's going to be very interesting to watch. Should be quite entertaining.

I know this is, we're going off base here from our last topic, but I was talking to. I'll keep this very generic. I was talking to the syndicate yesterday. I did a presentation for the meeting and such.

Yeah, this is the Syndicate.com for people who don't know. I have an angel syndicate. It's got 11,000 members, 4,000 have done a deal. We've done 300 deals. We share our deal flow with them and we're increasingly sharing their deal flow with each other. So it doesn't compete with Angel Lisp. It's just my little curated club of investors.

One thing that surprised me was how much people wanted to talk about improving the connection between academia and business. And I thought this has been, you know, we've been talking about companies coming out of Cambridge for so long now you think that it would be a solved issue. But they talked a lot about the pipeline problems of getting people off of tenure track positions and so forth and into industry. So if you're seeing academics do more of this, maybe something's breaking loose. Maybe the ice is finally cracking a bit. Because I think we could use a lot more of our ivory tower talent out, you know, kind of fighting in the streets.

This is. The investors are interested in that talent because of this specific opportunity. We've seen it before, nanotechnology, material science, 3D printing. We had a moment where investors were like, you know what, I want to invest in a 3D printing company. I want to invest in nanotechnology. Where are the nanotech founders? And it was like, yeah, there's like 50 people who have written papers about nanotechnology. And literally investors would go look at those papers and then go meet those people and say, hey, is there a commercial application for this? And they'd be like, I don't know, I'm just writing papers. And then you have to make a decision, do you want to leave, license it, et cetera. All of these universities have IP departments that license out their innovations and then they can make significant money on it. I'm curious what the largest amount of money MIT or Stanford? I Wonder what the largest amount of money they made doing technology transfer as the category. There must have been some interesting technologies that came out of those labs that wound up in a license that generated massive amounts. And usually they license it out 5, 10% for a royalty or something as opposed to getting equity. So you negotiate a royalty. So if the company's really successful, they just have to keep paying for that license indefinitely and then the devil's in the details of how much you pay for that.

Surprisingly, the answer to your question is not imminently findable. But I'm going to mark that down and bring that to us next time we do a show because I want to know that and I want to know that in detail because I think that's a really interesting place.

I think they're pretty promiscuous with it. In other words, I don't think that they try to extract as much value as they probably could. If they were really trying to extract value, they would start their own venture firm. Thank you. Venture partners in there and then but you know, instead the endowments partner with venture firms, give them money and they probably have some connective tissue there, right? If Stanford's endowments in a dozen venture firms probably they probably tee them, will do introductions between their top talent and those firms and then they make the money there because it's not their best skill set or use of time.

I don't know, man. UChicago, my alma mater has $10.4 billion. I think you could crack off a bit of that and invest. They also have a business school and they have a great economic. I mean, come on. That does seem like a list of.

Invest in venture firms. So the question is, would they want to have a venture firm internally that seeded things, etc. And I think they've made the decision. It's like it's too much in the weeds and they should just let the capital markets figure it out because they're more aggressive. So ring, ring, ring tried.

Universities are lazy, huh? News at 11. Like come on now. I did a pitch competition at UChicago at Booth when I was undergraduate and my team won. Good times. There are so many smart people and now it's easier to start a company. So I think even if that was the right perspective 10 years ago, Jason, missed opportunity. If they're not doing this, the first university venture fund that's run by professionals and invest in their students is going.

To be also creates a little bit of a problem if the venture firm actually hits a Google and then those venture capitalists make A billion dollars each. Everybody who, like, gave them the money and seeded it is really upset. This is why corporate venture has a problem. Like, if you're in intel like you're getting a salary, why are these people getting all this upside? I'm not. That's why they tend to spin them out. But, you know, is what it is. All different ways to do things. Do we have any founder questions?

Yes, we do. We actually have one that I'm really excited to bring up because this one really resonates with me. All right, so pulling from our dear friends over on the Entrepreneur subreddit, Jason. This is a founder who has built a business that people want but is struggling with one key point. I'm just gonna read a little bit of this for everyone listening in. I have a killer business setup, but I hate sales. Help desperately needed. I've been at this for two years. I go to sleep every night beating up myself for not being capable of pushing myself to sell. My biz is in the payment processing niche. Every deal I make, I can get between a hundred bucks a month to 10,000 bucks a month. All I have to do is sell, sign, set it up, and boom, I make money. My issue is that I hate sales with a burning passion.

I really hate cold sales. That's really like where you get the massive amount of rejection. That first email, that first phone call. Yeah.

So for this founder, how do you get over yourself, get over your anxiety and go out there and be shameless?

So founder led sales are important early on because you learn about your product and how the market perceives it. Here he seems to have product market fit or already to some extent. If it was really strong product market fit, people would be ordering it online. If there was no product market fit, he would not have said this key sentence. I can make anywhere from $100 a month to $10,000 a month in just one deal. So obviously there is some product market fit here. And he actually says that all I have to do is sell signs, set it up, and boom, I make money. But he hates the cold sales problem. That's because when you do cold sales, if you're not qualifying the leads or you're in that process, it's going to be 9 out of 10 people, 99 out of 100, depending on how qualified they are, are going to be like, please stop bothering me. I don't want to do this. There are people who love that rejection. They take it as like a badge of honor. Now he says later in his thing here, I can sell warm Leads, easy. I have always worked those jobs. So what he needs to do is learn and take the same enthusiasm he had for creating his product to creating a replicable sales product sales process. And that process should be, here are the people who I have sold to. Go find me more like that. You could do that within Athena system. Go to athena wow.com, hire one, have them set up the leads. You could do that with AI. There's AI solutions to start doing this. Or you could hire a college grad for about 50k a year to sit next to you and do these first calls. You write them a script, you tell them what to do, and you tell them, listen, it's gonna suck, but every time you do sell somebody, I'm gonna give you a $500 commission. Whatever the first month is, I'm gonna give you the first month up to a thousand dollars, whatever it is. And if they stay to month six, you know, we'll have a customer support person and a customer success person. They get month six, so you get $1,000 when you sell it, they get $1,000 in month six. So you set up an incentive and then you see an outcome. So this person just needs to understand that their chores suck. Nobody likes doing chores. There's some dishes in my sink here. I got to put them in the dishwasher. Nobody likes doing that. It sucks. But eventually you train people, you know, maybe your kids or you get a, you know, a housekeeper and you teach them how to do it and it's off your plate. So, so to speak, that's all they have to do here. Look at it as a challenge. Just like building your product was a challenge. Get people who really do a good job at it and move on. It's chores. It sucks. And you'll get through it and just take yourself out of that product. Do the first 10 and you'll be fine. Hiring sucks. Salespeople are difficult people to manage. At least the effective ones. Effective ones are a pain in the ass. Yeah, the more effective. So here's the correlation. The better you at sale you are at sales, the harder you are to manage. It's almost a perfect correlation. As the sales number comes up, the salesperson has more opinions, they have more chutzpah, they have more dexterity. They have the better ability to communicate. They have a better ability to communicate with each other. Therefore, they're going to treat the customer in the same way they treat you as your. As their boss. Why can't this be better? Don't you want the solution? Don't you want me to succeed? Don't you want this product? They're going to use that same chutzpah, that same zeal, that same convincing energy against you as the leader of the company. So when you have one of these people and they're difficult, embrace it. Congratulations. You did it. You found a great salesperson. Go find two more and then tell them upfront. My Lord, you're so great at your job and you're so difficult to deal with. Isn't that funny? And then just laugh about it with them and go get a beer. Because the other option is they sell 10% as much, 20% as much, and they're easy to get along with. And then they're so easy to get along with, they don't want to bug the customers to, you know, sell them something. These are unique individuals in all the world. Learn to do this and you'll unlock it.

And also salespeople that are that good, full employment, any market, any economy, if you can actually sell. I had a lot of friends that were working in tech sales back in the 14, 15, 16, and they did. They did great. And it was lovely and fun to see them succeed.

All right, everybody. This has been another amazing episode of this week in startups. This weekend. Startups.com docket. If you want to see us building the docket, follow us on tik tok, Twitter, all the other places, and cautious optimism.substack.com Am I correct with the URL.

Or cautiousoptimism news, if you're so inclined?

Oh, you have the dot news. Very nice.

I had the dot news and you.

Could subscribe to Alex's amazing newsletter. We'll see you all next time. Bye.

Bye.