Pod Insights TBPN SpaceX S-1, Anthropic Revenue Booms, OpenAI Cracks Erdős Problem | Diet TBPN About this episode Diet TBPN delivers the best of today’s TBPN episode in 30 minutes. TBPN is a live tech talk show hosted by John Coogan and Jordi Hays, streaming weekdays 11–2 PT on X and YouTube, with each episode posted to podcast platforms right after.
Described by The New York Times as “Silicon Valley’s newest obsession,” the show has recently featured Mark Zuckerberg, Sam Altman, Mark Cuban, and Satya Nadella.
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Transcript Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.
0:02 John Coogan? We have a massive show. There's so much tech news. People said the technology industry, they were out of news. They weren't. There's plenty of tech news.
0:11 Jordi Hays? They lied. They lied to you.
0:12 John Coogan? All over the Wall Street Journal, AI companies are duking it out for prime placement in the Journal. SpaceX got top billing in the Journal with the IPO filing. SpaceX sets its IPO in motion. The SEC filing starts move to raise tens of billions of dollars in record debut. We've talked about this a lot on the show. Clock is officially ticking on SpaceX's huge stock offering. What are you laughing about?
0:39 Jordi Hays? Ryan says, I knew Jordi would do this two days in a row. Did I not do two days in a row?
0:43 John Coogan? Nope. Haven't done two days in a row in months. We can roll the tape. I mean, after reading the, that, that, that piece about us, I feel like some brand differentiation is actually to our benefit since some people can't tell us apart. And so I, I've become a fan of the, the, the, the split in
1:02 Jordi Hays? Of casual Friday, Thursday?
1:05 John Coogan? Yeah. Of just a, of a casual look over there, more buttoned down, buttoned up, buttoned left and right over here.
1:10 Jordi Hays? Somebody's got to be buttoned up.
1:11 John Coogan? Someone's got to do it. SpaceX on Wednesday revealed new details about how it's, it's about its financials and how chief executive officer Elon Musk will try to grow a sprawling enterprise dedicated to advancing cutting edge technologies in space and back on earth. The company disclosed the information in an investor perspective. Publication of the document sets SpaceX on course to potentially raise 80 billion or more for a stock sale as soon as next month. The rumored date is what? Ju- June? July?
1:41 Jordi Hays? Was it June 12?
1:42 John Coogan? June 12? That's just 20 days away, basically. They're going to beat out Saudi Aramco that raised 26 billion when it went public in 2019. Musk has touted out of this world objectives for the company from deploying a huge number of, of artificial intelligence satellites in the future to colonizing Mars. Texas-based SpaceX has distinct businesses ranging from rocket launch to satellite operations to a nascent AI unit that is racing to catch up with rivals founded by Musk nearly a quarter century ago. Yeah, it has been a long time. SpaceX revolutionized the commercial space industry. The company has grown from a startup with a handful of employees that almost went out of business to one of the world's most valuable private companies with over 22,000 workers
2:27 John Coogan? as of March 31st. It controls technologies that competitors and even nation states haven't been able to fully match. SpaceX reported its revenue last year at 18.67 billion and Dan Primack had a post saying that the business was smaller than he expected. He's going on CNBC today to talk about the IPO, has had a couple of interesting takes. People are going back and forth. Overall, the reception has been, the S1 is an extremely enjoyable read. Kevin Quoc says it's the most enjoyable S1 read in a long time. Reads so easy like sci-fi or fiction and
3:01 Jordi Hays? It's kind of the perfect, it's kind of the perfect post.
3:03 John Coogan? Or just regular.
3:04 Jordi Hays? Because if you're pro tech, you like space, you're excited about space, that could be a positive.
3:09 John Coogan? Yes.
3:10 Jordi Hays? But if you're, if you're a bear, you can say it reads almost like
3:14 John Coogan? Like pure fiction.
3:15 Jordi Hays? Science fiction. Of course, the best TAM slide ever.
3:19 John Coogan? Probably the best TAM slide ever. Sawyer Merritt has the screenshot here. SpaceX an IPO filing, "We believe we have identified the largest actionable total addressable market in human history. We estimate that our quantifiable TAM is 28.5 trillion dollars, consisting of 370 billion in space from space-enabled solutions, 1.6 trillion in connectivity across 870 billion in Starlink broadband and 740 billion in Starlink mobile, as well as additional opportunities in enterprise and government, 26.5 trillion in AI across 2.4 trillion in AI infrastructure, 760 billion in consumer subscriptions, 600 billion in digital advertising."
4:04 John Coogan? That's massive.
4:06 Jordi Hays? Well, is that for X?
4:07 John Coogan? I don't know.
4:08 Jordi Hays? The idea, so, so
4:10 John Coogan? And 22.7 trillion in enterprise.
4:12 Jordi Hays? Everything else is more believable to me than X getting meaningful digital advertising penetration.
4:17 John Coogan? Yeah, I guess, I guess the time, the time matters here because a lot of these markets aren't this big currently, I think. I don't know. But I guess over time, you know, if you think about the next 25 years, the next 100 years, I don't know if these are inflation adjusted, but there's lots of things that could happen. For illustrative purposes of sizing our addressable market, SpaceX excluded China and Russia from global estimates. I feel like you might want to put in China and Russia over the next couple decades. Who knows? Maybe we become best buds with both companies, with both countries, you know? Anything can happen.
4:51 Jordi Hays? That would be great.
4:52 John Coogan? A world peace might come, and that's going to expand TAM. That's an economic incentive for world peace. I like to see it.
4:58 Jordi Hays? There we go.
4:59 John Coogan? There were some beautiful photos that were shared in the start of the S1.
5:01 Jordi Hays? Lots of pictures.
5:02 John Coogan? Lots of pictures to start, and then it gets very text dense. But the photos were, I liked them. I thought that they were unique. I hadn't seen them like that often, and they felt like they were kept in the back pocket for a while. And they, I don't know, they just like remind you of SpaceX. It's like a beautiful thing. Dan Primack says, incredible that Goldman beat out Morgan Stanley for the SpaceX IPO. Lead left. Given that Michael Grimes returned to Morgan Stanley in part for this deal, of course, Morgan Stanley is on the deal. But that is, it is a big win for Goldman that DJ SpaceX is at the helm. Goldman Sachs and Co. LLC, Lead Left in the joint book running managers. But everyone's getting a piece of the SpaceX IPO at this size.
5:44 John Coogan? Will Bitsky says, shout out to the Goldman analyst that was originally sacrificed to win this Lead Left IPO. It must have been an incredible amount of work. It's not just the biggest IPO of all time. It's not just this incredibly complex structure with multiple businesses. It's also you're reporting to Elon Musk. Elon Musk is your client, and he's going to ask for things probably more aggressively than anyone who's a CEO of a company that's going public. So, lots of winners from the SpaceX IPO. Luke Nosick is a huge one. He was at Founders Fund, co-founded Founders Fund with Peter Thiel. His next role will be leading, this is from a long time ago. He left to start Giga Fund, which was billed at the time as a new investment firm that initially will be focused on raising capital
6:26 John Coogan? for Elon Musk's SpaceX, a Founders Fund portfolio company where Nosick is a director. And so David Kwan says, today I learned Luke Nosick left FF to start to find exclusively focused on investing in SpaceX. There are a few of those that we're hearing about these days. Of course, exclusive does not mean 100% of the capital went into SpaceX. It just means that they were very, very focused on that. GigaFund has a lot of different companies in the portfolio. Cover, we've had a bunch of founders on the show who have raised money from GigaFund, but SpaceX is where Luke is a director, deeply involved, and has focused on participating in many, many rounds. And so conviction will do that to an MF, says Pocket Jack's Capital. Lots of big winners. Frank asked Codex for SpaceX fair value
7:09 John Coogan? based on the S1. Should be an interesting build up to the IPO. What was the result from?
7:15 Jordi Hays? Sid Lanzarum, 1.1 to 1.5.
7:17 John Coogan? It's not bad. That's not bad. Bull case gets to 1.7 to 1.9 if investors assume Anthropic sticks. AI infrastructure margins are strong. Starship unlocks major new markets and public market scarcity drives demand. But 2 trillion means the market is effectively assigning something like 800 billion to 1 trillion to the AI orbital compute story on top of an already rich Starlink valuation. Possible is an IPO mania print, but that's not what I'd call for fair. So we'll see what happens. I mean, the big, the big news was the partnership with, with Anthropic where Anthropic is spending over a billion dollars a month, I think. It's ramping up.
7:53 Jordi Hays? 15 billion dollars.
7:54 John Coogan? A year. And that's huge for SpaceX, given that they did 18 and a half or something last year. This is a huge jump up in, I mean, they have to be one of the biggest NeoClouds like overnight with this.
8:05 Jordi Hays? Yeah, I was trying to find.
8:07 John Coogan? Huge, huge.
8:08 Jordi Hays? I was trying to find some of our conversations from last year where we were XAI and Grok was, was growing, but maybe not at the rate that, not close to the rate that would require that much infrastructure.
8:21 John Coogan? Yeah, finding product market fit on the actual distribution side. Obviously, we love X, but it's not the biggest platform.
8:28 Jordi Hays? Yeah, it wasn't, it certainly shoot for the stars.
8:30 John Coogan? Yeah.
8:31 Jordi Hays? And if you miss, you have a pretty great NeoCloud business, right? Anthropic has to pay way above traditional NeoCloud pricing for this.
8:43 Jordi Hays? Compute and so ends up being a great outcome for SpaceX.
8:47 John Coogan? Peter Haig says, just reading the SpaceX SEC document, one thing that sticks out is the capital spend on AI is 3X that on space. It's an AI company with some rockets, which is a wild, wild pivot at the la- it's the 11th hour. You know, this has been a rocket company for 20 years or 15 years, then an internet company with Starlink, but that was still so tied and so clear and so quick to get to like a logical link. Like you needed the launch capacity to build Starlink. And so you had this new capability, satellite internet is amazing. And it went from idea to launching the satellites to consumers actually using
9:29 John Coogan? it when they're traveling, camping, off the grid, real, and then showing up in planes and all sorts of different applications. It became very, very relevant, very real, very quickly. And the Colossus XAI, that felt like a different company because it was, but it has just become so, so, so big so quickly.
9:48 Jordi Hays? Yeah. And looking back at the plays Elon and his investors have made around this over the last year, right? There was that felt like somewhat of a coordinated effort beginning of this year or late last year, when suddenly everyone started talking about space data centers very suddenly. I remember Gavin Baker.
10:05 John Coogan? Yeah.
10:06 Jordi Hays? Started coming out, talking about it. That's around the time when they sort of floated the December of last year, floating the idea of like what the potential valuation would be.
10:15 John Coogan? Yeah.
10:15 Jordi Hays? Started building that AI narrative, started, you know, made a play for Cursor, you know, partnered with Anthropic, even though, you know, only a few months ago, they were much more combative.
10:25 John Coogan? Yeah.
10:26 Jordi Hays? And so.
10:26 John Coogan? Name calling.
10:27 Jordi Hays? So, yeah, he, you know, I think this is why Elon has been able to accumulate so much capital.
10:33 John Coogan? Yeah.
10:34 Jordi Hays? Is like he is pretty much the best in the world at like making, just making plays.
10:38 John Coogan? Yeah, making plays.
10:39 Jordi Hays? And doing whatever it takes.
10:40 John Coogan? Yeah. So the most recent play unrelated to the news that made the front page of the Wall Street Journal, Anthropic revenue surge is set to post first profit, sales seen reaching 10.9 billion in second quarter, up 130% over pre-debut this quarter. Truly, in the title of the, in the, in the actual URL of the Wall Street Journal article, they call it "mind-blowing growth about to propel Anthropic to its first profit." Absolutely fantastic execution. So, Tom Brown, co-founder of Anthropic, says, "We're expanding our partnership with SpaceX and will be scaling up GB 200 capacity on Colossus 2 throughout June. Appreciate Elon Musk and the team helping us find good homes for the Clods." Is Claude plural?
11:25 John Coogan? I thought it was all one Claude, and the purpose of Anthropic was to build Claude, and Claude will eventually build Claude. But I guess you have multiple instances of Claude running on different servers on different GB 200s. Anthropic's Q2 revenue is set to increase by over 200%, will post an operating profit. The AI will never be profitable group is in absolute shambles right now. There have been a lot of folks who have been just doubting time and time again, will this ever make money? Will this ever make sense? And Dylan Patel sort of laid out on the Dwar Kesh Patel Show, this idea that at a certain point, the leading, the leading models might actually be able to raise money because they're,
12:06 John Coogan? there are raised prices because they're driving so much economic value. Semi Analysis also put out a, a table showing for particular workflows that would take them, you know, $1,000 of human time, that they would have to hire more people for, they were able to use AI and actually get an equivalent result for a 10th of the cost, or a 100th of the cost, or even, you know, a 30% savings sometimes.
12:31 Jordi Hays? Lisa Algeeb says, "Can someone check on Gary February 23rd, 2026?" He said, "Turns out, Gen AI..." Was a scam.
12:41 John Coogan? I had to check the date on this because this seems like something he would have written in like 2024 and I would have been like, ah, okay, yeah, maybe the usages are a little limited. Maybe there is some sort of wall here, the data wall or, you know, maybe we won't be able to, you know, maybe we'll need new paradigm, but to write this in 2026 when we're in like the fastest period of acceleration in terms of actual value from these models is uh, pretty, pretty remarkable. I'm interested to see where he goes from this. Is he going to double down? Is he going to stick with this? It has been a couple of months since February.
13:13 Jordi Hays? I think, I think there's, I think the, the entire crypto boom and NFTs in particular just broke a lot of people's brains.
13:22 John Coogan? Yeah, and VR, Metaverse too.
13:24 Jordi Hays? Metaverse.
13:24 John Coogan? Another thing that was like overpromised.
13:26 Jordi Hays? Metaverse and.
13:27 John Coogan? Underdelivered.
13:28 Jordi Hays? Metaverse, yeah, potentially even more.
13:30 John Coogan? Yeah, yeah, there was a lot of discussion about, uh, this will destroy Hollywood. This will destroy movies, like everyone.
13:35 Jordi Hays? But the Metaverse, there was never, there was never a moment where you could use a product and have a mind blowing experience.
13:42 John Coogan? Well, without paying for it, like you had to buy.
13:44 Jordi Hays? No, no, I'm just saying, I'm just saying like, period.
13:46 John Coogan? No, no, no, the Apple Vision Pro demo, like there was a day you called me and you were like, why is everyone losing their mind on the timeline over the Apple Vision Pro? Do I need to buy one of these? And I was like, eh, it's kind of like a preview. It's not like perfectly there. I like it, but it's.
13:59 Jordi Hays? I don't even think I, I, I.
14:01 John Coogan? But there was, it was the current thing.
14:02 Jordi Hays? Remembering correctly because there was no moment where I wanted to buy one.
14:06 John Coogan? No, no, no, you didn't want to, but you recognized that it was the current thing when uh, the Apple Vision Pro launched for like that week when everyone got them delivered and they tried them, there were a lot of people.
14:16 Jordi Hays? They had vision pro psychosis.
14:18 John Coogan? Vision pro psychosis. A lot of people had NFT psychosis, all sorts of psychosis. Uh, we'll see how the AI psychosis develops. It goes both ways.
14:26 Jordi Hays? Yeah, but anyways, comparing it, anyone can have.
14:29 John Coogan? Yes.
14:30 Jordi Hays? A pretty wild experience with AI.
14:33 John Coogan? Yes.
14:33 Jordi Hays? In, you know. On like a ton of different services.
14:37 John Coogan? Yeah.
14:37 Jordi Hays? You could never do that with Metaverse.
14:39 John Coogan? So, Lisan Al-Ghaib is contrasting Gary Marcus's Substack post with what's happened in the AI industry. Anthropic valuation up 173% since the start of the year, posting profits in Q2, according to the Wall Street Journal. OpenAI valuation up 67% since the start of the year, and OpenAI general-purpose model solves longstanding and well-known Eirdos problem.
15:03 Speaker 02 I believe it's Eirdos.
15:04 John Coogan? Eirdos, Eirdos problem without a scaffold. And so there was a lot of questions about, you know, how hard is it to solve these problems? But fortunately, we have Tyler Kozgrov, who's going to take us through what actually happened with this solution to this math problem that people are very excited about. Noam Brown said, "Today, we are sharing that a general-purpose internal OpenAI model achieved a breakthrough on one of the best-known combinatorial geometry problems. Less than one year ago, frontier AI models were at IMO gold-level performance. I expect this pace of progress to continue." And Siddharan Ramesh, I don't know if he was joking about this bet, but he says, "I have lost my $30,000 bet
15:48 John Coogan? that AI would never solve the planar unit distance problem."
15:51 Speaker 02 Yes, I believe that was a joke.
15:52 John Coogan? That's a joke.
15:52 Speaker 02 Yeah, I think if you go to the comments.
15:54 John Coogan? He jokes around a lot, but, uh, no. But a lot of people were surprised and a lot of people were excited about this. So take us through what actually happened.
16:01 Speaker 02 Okay, yeah, so I can basically go through like a simple explanation of what the problem actually is.
16:05 John Coogan? Okay.
16:05 Speaker 02 So, so just for some context, Paul Eirdos, kind of this legendary mathematician, throughout 20th century, he basically proposes, I think the number is like a little over 1,200 different, like little problems. These are the Eirdos problems. People talk a lot about these as like goals for AI to solve. And you've heard, like, over time, there's been kind of like small iterative kind of solutions to a lot of these problems.
16:26 John Coogan? Yeah, sort of like collaborative mathematician working alongside AI model.
16:30 Speaker 02 Yeah, and then sometimes.
16:31 John Coogan? Or an easy one, just getting.
16:32 Speaker 02 There's like a main kind of place where all of the solutions go. So sometimes people will find, like AI will like find a different paper that wasn't actually put on the website and then they're like, oh, AI solved it, but it's honestly true. But this is kind of the first time we've really seen kind of a big step change. Like this is actually a new solution. This is using like, you know, kind of novel ideas here.
16:52 John Coogan? Doesn't exist in papers out there already?
16:54 Speaker 02 Yeah, so this was problem number 90. So I can kind of read, read the question, then I can explain what it means. So it's, does every set of n distinct points in the real plane contain at most n to the 1 plus 0 of 1 over log log n many pairs which are 1 apart? Okay, so like, what does that mean? Basically, we have like the real plane, right, 2D, and we have a bunch of points on it. What is basically, how many like pairs of those will be basically 1 unit apart? And what's like the max number? Like, how do we basically organize those points such that we have the max number of them?
17:29 John Coogan? It's not just a grid?
17:30 Speaker 02 No, so you would think that, but I can basically explain why. So let's kind of like formalize this better. So we have U of n, right? And this is basically the largest number of unit distance pairs among n points in the plane. Okay, so basically, like, we're thinking about like, how do we solve this? Naively, it's like, okay, what if we just take all the points? We have n points, and we just put them in a line?
17:50 John Coogan? Yep.
17:50 Speaker 02 And unit distance apart, right? So it looks something like this?
17:53 John Coogan? Yep.
17:54 Speaker 02 Right, so for this example, we have 4 points, but it doesn't matter, it's just n. So 1, 2, 3, 4, how many pairs are there? There's 3, right?
18:02 John Coogan? Okay, yeah.
18:02 Speaker 02 So basically, this scales with n minus 1.
18:04 John Coogan? Yeah.
18:05 Speaker 02 Right, so you could have a billion points, and there's 9999, whatever, n minus 1.
18:09 John Coogan? Yeah.
18:10 Speaker 02 Okay, so now, if we put it in a grid, what happens, right? So if we have a square grid here, there's 9 points here, and then how many, how many pairs are there? I believe there's 12. And basically, as this number scales up, it's still linear, so it's 2n.
18:24 John Coogan? Okay.
18:24 Speaker 02 Basically, if you do a billion points, it's 2 billion pairs.
18:27 John Coogan? 2 billion pairs.
18:28 Speaker 02 Yeah.
18:28 John Coogan? Okay.
18:29 Speaker 02 So then, basically...
18:30 John Coogan? The pair is specifically that line? The line represents the pair?
18:32 Speaker 02 Correct, yes, because it's 1 unit distance, right?
18:34 John Coogan? And you specifically don't... Diagonal doesn't count because it's not 1 unit length?
18:38 Speaker 02 Yeah, it's not a unit distance.
18:39 John Coogan? Got it.
18:39 Speaker 02 So then, okay, what's the next thing we can do? The next kind of configuration is what's called... The lattice construction.
18:47 John Coogan? Okay.
18:47 Speaker 02 And so if we can pull up a picture of it, it's this kind of crazy looking grid. That has all these super like intricate lines in between. You can see it on the, this is from the OpenAI blog. If we can pull it up here.
18:59 John Coogan? Oh, I think I saw this.
19:02 Speaker 02 So this is what it looks like.
19:03 John Coogan? Okay.
19:03 Speaker 02 So if you can like zoom in on any of these points, you see that, you know, it somehow, it looks like a grid, right?
19:08 John Coogan? Yeah.
19:09 Speaker 02 But there's not just kind of pairs at the, at the edges, right? There's like way more.
19:14 John Coogan? Okay.
19:14 Speaker 02 So this scales at n to the 1 plus O of 1 over log log n, right? This is basically the best kind of example that we know works.
19:25 John Coogan? Yes, but not a proof.
19:27 Speaker 02 We know we can find this, but is this the upper bound? We don't know.
19:29 John Coogan? Okay.
19:30 Speaker 02 So this is basically the lower bound.
19:31 John Coogan? Okay.
19:32 Speaker 02 So then the question is like, we have the lower bound.
19:35 John Coogan? Yep.
19:36 Speaker 02 Which is that this is the best one we found.
19:37 John Coogan? Yep.
19:38 Speaker 02 This is the most number of pairs. And then we've theorized that the high bound, upper bound, scales with n to the 4 thirds. And then so ESDOS, the original conjecture, that he thought that the upper bound is still going to be less than n to the 1 plus O of 1. So this means O of 1, it's like as it scales, as n scales to infinity, right? So O of 1 basically scales to 0. It go to 0 as n goes to infinity. Basically, OpenAI figured out that this is not true. And that there actually are some, there are some n's for which this kind of max number of pairs is greater than the original ESDOS conjecture. So for infinitely many n, this is not for every single n, right? So it's not like 5 points or whatever, but there are infinitely many n's for which this is true.
20:22 John Coogan? Okay.
20:23 Speaker 02 That it's greater than n plus, n to the 1 plus some constant.
20:29 John Coogan? Interesting.
20:30 Speaker 02 So that was basically the big thing, right? This is like, you know.
20:33 John Coogan? Huge if you're into math.
20:34 Speaker 02 Decades old problem, right? This is incredible thing. Terrence Tao is like, wow, this is incredible.
20:39 John Coogan? Yeah, yeah.
20:40 Speaker 02 But yeah, that's basically the overview of the problem.
20:42 John Coogan? Okay.
20:42 Speaker 02 But yeah, I think it's very exciting because this is not like a math model. This is just an internal model.
20:47 John Coogan? Sure.
20:47 Speaker 02 General like reasoning.
20:48 John Coogan? Yeah.
20:49 Speaker 02 You could say it's like generally intelligent. Yes, I think you could say that. And then I think it's interesting because from like public perception, it seems like this didn't take like that many tokens. This was not like millions of dollars of inference time.
21:07 John Coogan? Sure.
21:07 Speaker 02 It was like maybe something like hundreds to thousands of dollars of inference compute.
21:13 John Coogan? That's very interesting because we were talking about like Gourin's conjecture about like novel ideas coming from just like brute forcing different connections between things. And this is more token efficient.
21:23 Speaker 02 Yeah, this is not just taking some solution to a different address problem and just like spamming it on all 1,200 of the problems and oh, one of them works.
21:31 John Coogan? Okay.
21:31 Speaker 02 This is like kind of a new novel idea. Like maybe this solution is the way that they found this, it's like super complex. You can read the proof. It's like 18 pages long.
21:39 John Coogan? Wow.
21:39 Speaker 02 I don't really know what it means, but like there's a lot of mathematicians are saying, okay, this is actually could be useful to a lot of other problems. This is like a new way to do things.
21:47 John Coogan? Interesting.
21:47 Speaker 02 So I think it's very exciting. This is like
21:49 John Coogan? Yeah.
21:49 Speaker 02 maybe similar to a, you know, alpha fold moment or something where now this is like a real kind of step change in in math capabilities.
21:57 John Coogan? The other news, rumors about OpenAI is being close, closing in on the IPO fund filing and that pushed out Nvidia's results, which is normally something I would expect on the front page, but there was too much AI news. Nvidia results skyrocket on rise of AI agents. We talked a little bit about it yesterday, but the big news is that they're doing an $80 billion share back, share buyback authorization and take him, take him was bullish. People were wondering where he would sit on Nvidia. He laid out pretty convincing case. You can go listen to the interview. It aired yesterday on TVPN. Let's click through the timeline, see if there's anything that we missed before we
22:41 John Coogan? jump off. DJ Kauz has an idea here, found a $10 bill. It took five seconds to pull, to pick it up. That's $63 million in annualized ARR.
22:54 John Coogan? This is the thinking you need to be deploying.
22:56 Jordi Hays? I didn't know that Messi, the football player, had a prime copycat called Mas.
23:03 John Coogan? Mas.
23:03 Jordi Hays? And it's shutting down after 23 months in business.
23:07 John Coogan? I wonder if that has to do with the logistics of shipping internationally because he is an international icon. But setting up distribution and retail presence across many countries very quickly. It's not quite as easy as dropping it on Amazon and flying off the shelves. A lot of those are sort of one country by country, and I wonder if that has a piece of what happened. So this is shutting down fully, Mas Plus. Interesting. Well, Mitchell Baldridge recommends setting up a Vanguard account, not Fidelity, not Schwab, Vanguard. Smart advice, you might think. They do have the lowest fees. If you want to get up to speed on Vanguard, listen to the latest episode of the Acquired FM podcast. But he says, wrong. It's not because they have the lowest fees.
23:51 John Coogan? It's because their interface is so awful, you will never trade. It has made his clients millions.
23:56 Jordi Hays? Let's close it out with this video.
24:00 John Coogan? What you got?
24:00 Jordi Hays? Playing Catan with a billionaire.
24:02 John Coogan? Yes.
24:03 Jordi Hays? I think, I think you'll like.
24:04 John Coogan? What is this face? Is this a face filter or a background replacement or both? Something funny is going on here.
24:09 Jordi Hays? Face filter.
24:10 John Coogan? Okay, face filter.
24:11 Speaker 03 My turn. I'm going to put down a data center.
24:17 Speaker 03 That's against the rules. How else am I supposed to AI generate my Christmas card?
24:22 John Coogan? Not popular.
24:23 Speaker 03 I'm not joking.
24:28 Speaker 03 Do you like it? No, it's blocking all the land. Wait a minute. Are you one of those paid protesters?
24:37 Speaker 03 Next turn, I'm going to use seven water on my data center. That's not how that works. That's not a resource in the game. How else am I supposed to power it?
24:46 John Coogan? The water stuff is really, it's so interesting that no one has moved to energy. Like, natural gas, there are natural gas turbines that would be opposed, and yet, people are focused on the water.
24:57 Jordi Hays? Stop giving them ideas.
24:58 John Coogan? I know, I'm doing their job for them, I suppose, but, it's like, I don't know how, I don't know why the water's... I think it's just because, like, water's delicious and electricity is vague and abstract and you don't think about it. Like, you can visualize a glass of water, it's hard to visualize a battery in the same way. But, yeah, the, what is it, it's like, dozens of LLM queries every day for a full year is equivalent to eating a single almond, something like that. But, Matthew Ball is back at Xbox, congratulations on the move, he announced it yesterday. We're gonna try and get him on the show, he's one of my favorite people, favorite authors.
25:36 John Coogan? If you haven't read his book or his blog, he has a fantastic mind for future of technology and he, I could not be more optimistic about the the future of Xbox with him on the team. Takehim says this hire is a literal game changer. Matthew Ball knows gaming and what needs to be done. This news makes me the most bullish I've been on Xbox in seven years, and I completely agree.
26:00 Jordi Hays? And, to close it out, the White House is awarding $2 billion in grants.
26:04 John Coogan? Oh yeah.
26:05 Jordi Hays? $1 billion.
26:05 John Coogan? Quantum computing.
26:06 Jordi Hays? To IBM, to nine quantum computing companies, and taking an equity stake of their grants. So we're taking an equity stake.
26:14 John Coogan? It's an investment.
26:15 Jordi Hays? It's an investment.
26:15 John Coogan? It's an investment, and you, American taxpayer, will now own a basket of quantum computing companies.
26:23 Jordi Hays? Spaghetti computing is up.
26:25 John Coogan? That's not spaghetti computing, it's rigetti computing.
26:27 Jordi Hays? Spaghetti computing is up 30%.
26:30 John Coogan? Who came up with that? That seems like a Trump, like, something he would say.
26:34 Jordi Hays? I created that.
26:35 John Coogan? You created that, okay.
26:36 Jordi Hays? Just now.
26:37 John Coogan? I like spaghetti.
26:38 Jordi Hays? I'm sure I'm not the first person to think of it, but...
26:40 John Coogan? And we will see you tomorrow, Friday. Goodbye. We'll smoke.
26:44 Jordi Hays? We love you. Have a wonderful evening.
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