The AI chip squeeze, Dirty Soda mania, OCC approves Palmer Luckey’s Erebor | Diet TBPN
This episode discusses AI infrastructure bottlenecks, focusing on semiconductor supply chain constraints versus energy limitations. The hosts analyze massive hyperscaler CapEx investments totaling $660 billion in 2024, examine the TSMC monopoly in advanced chip manufacturing, and cover various topics including Dirty Soda's Utah-based expansion and Palmer Luckey's new banking venture Erebor.
- Semiconductor bottlenecks are currently more constraining than energy for AI development, driven by TSMC's near-monopoly on advanced nodes
- Hyperscaler CapEx spending of $660 billion in 2024 represents the largest single-year investment in capitalism history
- The AI supply chain has multiple nested bottlenecks, with ASML's EUV machines creating deeper constraints in fab construction
- Regional businesses can achieve massive scale through viral social media moments, as demonstrated by Utah's Dirty Soda phenomenon
- Traditional software companies face existential questions about whether AI agents will use existing tools or build replacements
"If AI has the potential these companies claim it does, future foregone revenue at the end of the decade is going to cost exponentially more"
"This year alone is without a doubt the biggest project in the history of capitalism"
"We're doing what Starbucks did for coffee but for soda"
"Once you see an agent autonomously doing stuff for you, it's so instantly clear that all computer based work will be done this way"
"You can think of us like a farmer's bank for tech. Most farmers banks won't claim they are the best bankers in the world, but they do understand farmers"
It's a white suit day.
0:00
The market's up for the rally.
0:01
Don't check what the market did yesterday, check what it's doing.
0:03
You never doubted, did you? Never doubted when the fear and greed index you levered up was full.
0:07
And now fear post economic, scared for its life. It happened.
0:14
Big week.
0:17
Bottlenecks, Bottlenecks. I mean, we're going to talk about the Claude code moment to the Claude code psychosis, sort of the software singularity. There's clearly signs of a takeoff. It feels like a slow takeoff, but there's a whole bunch of sort of recursive compounding elements that are starting to.
0:18
Form a. Recursive, you say?
0:36
Yeah, recursive. Literally recursive. Like the models feedback into themselves, give them more tasks. We saw this with Gastown. There's a whole bunch of stuff going on in orchestration that's interesting. And so I wanted to sort of reflect on, like, if there's going to be a break, if there's going to be a damper on the party, if someone's going to pull away the punch bowl, who's it going to be? The semiconductor industry or the energy industry? At the start of this year, I said it was going to be the year of energy. I still think it's important to think about energy because that it will be a bottleneck.
0:38
But this year, not even just because of AI, just for overall human flourishing.
1:04
Totally, totally. Yeah. And yeah. So we had some great conversations this week. Sam Altman, we talked to Dylan Patel, we talked to Sholto, we talked to, you know, we reviewed what Ben Thompson was saying. Dwarkesh interviewed Elon. So there's a lot of new data points about how people are thinking about the tradeoffs, semiconductor fabrication capacity and energy production capacity. So I wanted to sort of like crystallize, like where I think the debate and consensus is right now. There's been this, like TikTok going back and forth in the AI supply chain. What's the key bottleneck to growth? It does feel like only if you have to work at an AI lab to really feel the bottleneck. For most people, they're just like, I open the chat app, probably chatgpt. I ask it a question, it gets back to me in a reasonable amount of time. I'm not really hitting rate. Rate limits. The rate limits come when there's big moments.
1:09
The studio Ghibli moment have always felt the rate limiting is very real. Really with using anthropic product.
1:59
Yes. If you're. If you're.
2:06
Which is why I asked Scholzow yesterday.
2:07
Yeah.
2:09
How. What are. What are free limits going to be?
2:09
Well, that's why you asked them that.
2:11
They've consistently been compute constrained. At least they've talked about it more than. More than most. And users have talked about it quite a lot. So I'm just quite curious, what is the free experience going to be like Sunday? If somebody downloads the app, sees the ads, they're like, I want LLMs without ads. Even though no other popular LLM actually has ads yet.
2:12
They're pretty upfront with you about the fact that if you're on the opus model, like, you'll hit your rate limits faster and even just a couple prompts deep, it will take a second and kind of compact the conversation so it can keep talking to you. I know they're increasing the token context window, but it feels like it works fine. But it is a smaller user base. Although I'm very interested to see where it goes in the App Store. ChatGPT is still at number one. Grok is oddly doing incredible in the App Store. Way higher than Axe. The social networking app store. Yeah.
2:32
For no obvious reason.
3:04
I mean, there's just not a lot of hype about Grok. Like, they're doing okay on benchmarks. Obviously. Elon has a very solid playbook for, like, scaling and how.
3:06
To me, I don't care as much about hype.
3:15
Yeah.
3:17
When it comes to the App Store, there's plenty of apps on the App Store charts that have no hype. One of the top apps is called Free Ca.
3:18
Free cash.
3:25
It's number two.
3:25
But that one above Gemini, I understand why that is.
3:26
Is Free cash. Get paid real money.
3:29
Yeah.
3:31
Hot on ChatGPT. Heel. You know, we have the open air Elon lawsuit as part of that. What if part of the settlement agreement is OpenAI has to give 40 to Grok?
3:31
I mean, they might just wind up.
3:43
Yesterday was seriously. It was one of the craziest experiences if you weren't watching our Sam interview live. And honestly, the entire show. Yeah, there was thousands of messages from people from 40 soldiers saying, Keep 4.
3:44
Keep 4. Oh, yeah.
4:00
Keep 4O. Throwing hashtags. You don't see hashtags that much anymore, but they were throwing hashtags around. Keep 4o. So I think maybe if Elon can negotiate for that.
4:00
Thank you to the TVPN army. The day ones. We will never switch up on you. We'll never let the money change us. We'll never forget where we came from.
4:12
Yeah.
4:19
Bobby was going to you guys in the chat we're doing overtime work, keeping things somewhat sane. There's not much you can do in that situation. And yeah, it'll be interesting to see 4.0 is fully going offline. It's already very hard to reach. You have to go into turn on legacy models. And the.
4:20
It's going offline right around Valentine's day.
4:35
I think, February 13th. It's just a fascinating, weird time that I don't think we've ever seen, because people were upset when Facebook launched the feed and they were like, we want to go back. And they made these groups. And the group's got a lot of implication.
4:37
Ironically, some people were upset when Microsoft stopped investing as heavily into Clippy.
4:50
That's true, that's true. But I was never logging on to a Twitch stream and saying, I got bring back Clippy.
4:55
The notable thing is they didn't seem to be able to process that it wasn't just a show about Sam.
5:02
Yeah.
5:08
Even after Sam had left, they just kept going.
5:08
Yeah.
5:11
Which was very, very strange.
5:12
Anyway, back to the bottleneck. Right now, it feels like chips are the more important piece of the bottleneck to talk about. Sam Altman put it this way. I asked him, like, chips versus energy, what's the bigger bottleneck right now? He says it goes back and forth, but right now it's chips. It's different at different times. It may get solved on its own. Normal capitalism may solve it. But I think somehow deciding as a society that we are going to increase the wafer capacity of the world and we're going to fund that and we're going to get the whole supply chain and the talented people who make that happen would be a very good thing to do. And so why do we have a chip bottleneck to begin with? Semiconductors have been doubling, and we've been on this Moore' curve. What's interesting is that the semiconductor industry should be better equipped to avoid a bottleneck because it's already been on an exponential, whereas energy production has been like, flat, sort of like a malaise for a long time. Getting that unstuck is hard, but I think that's a problem for 2027, potentially. So the chip bottleneck comes down to consolidation. Power plants, data centers, cooling technology. There's a bunch of suppliers in each of these industries, and you can parallelize them and you can steer resources from adjacent areas to focus on AI projects. Specifically. Even a company like Supersonic can turn into a turbine manufacturer. And there's a lot of other industries that are able to move over the semiconductor industry. Is used to doubling the amount of transistors made every year or two. Part of that is more advanced nodes, part of that's more capacity. Whereas the energy industry in America wasn't built for that kind of growth. So initially people weren't creative. They were like, let's build these combined cycle gas plants. But now we've realized, yes, there are three main manufacturers of turbines. And for dual combined cycle, you've got igt, but you've also got medium speed reciprocating engines. Turns out Cummins can make about a million diesel engines a year and those can generate electricity. If I don't care about aesthetics and I put them in West Texas. Easy. Back to the leading edge fabs, It's a completely different beast. These fabs cost tens of billions. 30, 50, 75, 80 billion I've seen to build. And it takes three, four, sometimes five years to go from breaking ground to actually getting up to producing volume. And we have like the perfect example of this because TSMC announced a plant in Arizona in 2020, and in 2025 it's still not producing at volume. It's doing really well. It's great, but that's five years. And it's not just like, oh yeah, it's, it's as effective as what's in Taiwan. There's this bottleneck within the chip bottleneck which is the TSMC supplier ASML. And they ship around 50 EUV machines per year, maybe 5060. Each one cost $350 million. And leading edge fabs need dozens. So if you want to build a bunch more fabs, you need a bunch more tool makers. And ASML has its own supply chain for different lenses and glass and all sorts of stuff. They work with Zeiss Trump, whole bunch of different companies. And that supply chain is not very diversified. So you have another bottleneck even deeper in the supply chain. And then even after you get the fab built, there's still at least a year of processing engineering, maybe 12 to 18 months where you actually work to get to high yield production. We're seeing that in TSMC Arizona. And TSMC just has decades of intellectual capital locked in the heads of engineers that they can't easily transfer or parallelize. And so this has made TSMC the real bottleneck. Hyperscalers are pushing capex numbers into the hundreds of billions of dollars. So TSMC controls 90% of the advanced node market with Samsung and Intel far behind. And this is why Ben Thompson, aside from the geopolitical concerns about tsmc, is really urging tech companies to Wake up. And so he says the reality that hyperscalers and fabless chip companies need to wake up to, however, is that avoiding the risk of working with someone other than TSMC incurs new risks that are both harder to see and also more substantial. So there's a huge risk if you say, you know what, I'm going to go and place a huge order with Samsung or Intel or I'm going to, I'm going to take a huge risk and be the, be the anchor customer of their new cutting edge, leading edge fab. But Ben Thompson saying there's the risk to not doing that. And he says, except again, we can see the harms already. Foregone revenue today as demand out drips supply. Today's shortages, however, may prove to be peanuts. If AI has the potential these companies claim it does, future foregone revenue at the end of the decade is going to cost exponentially more, surely a lot more than whatever is necessary expense wise to make Samsung or Intel into viable competitors for tsmc.
5:13
You really got to wonder what conversations are like between Jensen and TSMC right now given that TSMC is not, they're certainly not going out and making kind of going risk on. Right. They're staying relatively, probably more conservative than some of their downstream customers would like.
9:31
Anyway, let's move on to the hyperscalers compound. 248 says poor Jassy Andy Jassy. He's going to learn something about Amazon today. When Google announces a crazy number, it's because it's playing offense. But when Amazon announces a crazy number, it's because it's playing defense, ipso facto. So Amazon said it will spend $200 billion this year on AI build out. But this is worrying investors that the company's colossal bet on artificial intelligence will pinch profits while it waits for the investments to pay off. The company reported spending 130 billion. 130 billion dollars on property and equipment in 2025. Analysts expect those expenses would reach 150 billion this year. But Amazon saying we're going to 200, we're going all in.
9:52
And a lot of frustration from Amazon shareholders. Obviously they had the fastest growth in 13 quarters and the stock is still down 10%. Looking back over the last five years to early 2021, only up 23% over five years.
10:38
Yeah, yeah, just not as sexy as a narrative as the rest of the hyperscalers. Zuck obviously is a huge beneficiary of, of advancements in AI. We see that with the accelerating ads market. Microsoft, even though, yeah, it's getting beat up a little bit now. They have like that massive position in OpenAI that feels like fully in solid place. They got the ip, they got, you know, a real hold on the AI question. Google's obviously in a fantastic place. Nvidia clearly.
10:54
And yesterday was just such a strange day. Reform trader says software stocks are cooked for not investing in AI. Mag7 stocks are cooked for investing heavily in AI. Hope that helps.
11:22
It is crazy. Oh, this is the image. I love this image. What's this from Matt Damon in which one?
11:32
I don't know.
11:40
In Rounders last night we were just talking about this.
11:40
That's Rounders. I thought goodwill hunting for some reason. But this is a summary of the 2026 CAPEX numbers from the hyperscalers. Google is going to do 175, 185 billion versus 120 estimated. Meta is doing 115 to 135 relatives against 110 estimated. Tesla's going to 20 billion from 11 billion estimated. And Amazon, they were estimating one hundred and forty five, but they're going to do 200. And so they're going all in.
11:43
One of the top comments here is very funny. It says, what exactly is Meta buying? They don't do anything with AI.
12:11
That's not true. Open up reels. It's AI.
12:19
Even in the Cheeky Pint Elon episode, Dwarkesh and John are pushing Elon on the data centers and space thing. And I thought that Elon could have done more to really get people basically the same thing. The TAM is an order of magnitude bigger than anyone is contemplating and we are investing for that future. Right. It was a lot of like trying to just justify putting it up there. Yeah, yeah. When. When they were saying like, hey, there's a lot of land in the us we can blanket the the US with solar panels. We do a lot here. And so again, I think people are getting kind of caught up in the details. If you're going to spend, you know, you would hope aws making this kind of investment, that they have more conviction than Tyler does on the opportunity. Right. I don't know if that's. I don't know if that's possible.
12:25
Tyler's in the white suit. He's looking good.
13:11
Yeah, looking. Looking good, Tyler.
13:12
Yeah.
13:14
Round of applause for Tyler.
13:16
This is a classic Elon thing where, you know, he will lay out a vision that takes 10, 20, 30 years, but he says it's going to take 10, 20, 30 months. And so you have to sort of grapple with the Short term, but still you can't lose sight of like the long term because like we did get rockets that land and we did get space Internet and whatnot.
13:18
Yeah. I think he said like 36 months is his estimate for like when we start getting compute in space. Like probably 30 months, I think. But then so there's like kind of the, that's like the shorter term thing. But he did talk about like terawatts in space. Right. So like us is currently like half a terawatt, but we're going to be putting terawatts in space of computer.
13:40
He's sort of like falling back to first principles and just talking about.
13:58
Yeah, he keeps repeating like, oh, if you just look at like physics.
14:01
Yeah.
14:04
It's kind of this catch all term he uses when he doesn't really know what to say. It seems like.
14:04
Yeah, well, yeah, it just seems like it all checks out from the physics calculations. But when you map that to the economic realities, the human capital and financial capital realities, you're just looking at a very long timeline. And he doesn't like talking about thinking in decades.
14:07
It seems like the short term, like bull case for, for space data centers is basically just like, you know, regulatory. Right. It's going to be way too hard to find this.
14:24
Yeah.
14:31
Like the actual land.
14:31
You see India already saying, hey, we'll just take a slice in 20 years. That's how AGI pilled they are. They're like, come build a data center here. You can be tax free for 20 years, but then we're going to be making Money and what, 2046, they're ready to rock.
14:32
None of you nerds, no physics. They were feeding him drinks. Chill out. It is actually crazy. I mean, we've never seen a Cheeky Pine episode where they actually drank.
14:47
They did drink on this one.
14:56
That was the main feedback from last year.
14:57
Yeah, it is funny. Yeah. It feels like Elon took down three pints or four pints or something. You did the math.
14:59
Right.
15:04
So we'll talk about this later. There's some posts but, you know, they seemed a bit smaller than normal pints maybe. So is it really? But I counted three, like full glasses. I mean, I think Elon Dwarkesh asked a question about this which is like, oh, it's so crazy that like Space X they have this super ambitious mission, but they keep seeming to find these like good businesses on the way. Right. So first it's like Starlink with, with Falcon and then with Starship, it's like, do we really need that many Starlinks. But if you can get space data centers.
15:05
Yep.
15:31
If you're, if you're putting up terawatts of compute, then like, yeah, you need like, massive, you know, OTP in the.
15:32
Chat says, dude just turned 21 and he can already I.
15:37
He's been studying the last $660 billion of CapEx this year on AI data centers. To put a number like that in perspective, this is more than what we spent on the US Interstate Highway System. 630 billion more than what we spent on the Apollo moon program. 257 billion more than what we spent on the International Space Station. 150 billion. It's more money than Walmart's revenue last year. 650 billion. It's the equivalent of spending $1.8 billion a day. $750 million an hour, or $1.2 million a minute. This year alone is without a doubt the biggest project in the history of capitalism. And we are spending it all. We're spending all of it in one year.
15:42
France announced an initiative earlier this week. They want to lead in AI research. So through their France 2030 program, they have invested more than 30 million euros in this initiative. Macron says science has found its home. And Sean Frank says France is investing 30 million in this new AI initiative. That's how much Google will spend in 90 minutes. No joke. Every 90 minutes. Google will spend 30 million on CapEx this year.
16:23
One company, one company.
16:51
They can hire Ilya for like an hour.
16:54
An hour. One hour. Consulting call. Take him. Is breaking down the Nvidia news. The Stock is up 6.22%. Nvidia shares barely moved in after hours trading last night.
16:56
Yeah, this is what I said. I was like, Amazon just announced that, hey, we're going to spend, you know.
17:06
Yeah, we're 200 billion. I mean, they will buy Trainium and Inferentia, but they're going to buy a lot of Nvidia.
17:10
Anyways, let's move on to Dirty Soda. Dirty Soda. We got to talk about the Utah. Have you heard of Dirty Soda?
17:17
I'd never heard of Dirty Soda before. Have you heard of this?
17:25
Yeah, yeah, this is Utah.
17:28
This is big in Utah.
17:30
Yeah, yeah.
17:30
Have you been to Utah?
17:31
No.
17:32
How do you know that it's big in Utah.
17:33
Then exposed. My friends sent it to me on Instagram. They're like, look at this.
17:34
Okay, all right.
17:39
What is Derby Soda?
17:40
Do you have friends who live in Utah?
17:41
It's like soda and they put like cream in it and stuff.
17:42
Right, okay, well, we'll Dig in. I think we'll let the Wall Street Journal get the facts straight.
17:44
A mom with five children, ages 6 to 16 in St. George, Utah, Nicole Tanner didn't realize she was onto something with dirty soda. That's what the creator of the chain Swig calls spiking Coke, Mountain Dew or Dr. Pepper with fish fruit purees and flavored cream served in plastic cups stuffed with pebble ice. Microplastic nightmare. Nightmare.
17:52
Really? I didn't know pebble ice was at risk.
18:13
No, no, no, I'm talking about. I'm just saying plastic.
18:15
Oh, the plastic cups.
18:17
Her business took off a few years ago when pop star Olivia Rodrigo was in Utah filming the TV series High School Musical and posted an Instagram photo holding a cup from Swig. Now, hashtag dirty soda is the hashtag big chains want in. McDonald's recently tested Sprite with lemon vanilla syrup and dragon fruit Taco Bell swirls. It's teal colored. Baja Dream freezes with vanilla cream and calls it a Mountain Dew Baja Blast Dirty freeze.
18:18
We forgot to ask Sam Altman if he's gonna issue a Baja Blast because he did the code red.
18:43
It's time for a Baja Blast.
18:49
It's time to Baja Blast. He's back to the top.
18:50
Maybe that's what the super bowl ad codex. Oh, that would be Baja Blast Codex. Collab campaign for the builders and drive in chain Sonic has encouraged customers to make it dirty by ordering creamer and mix ins with their sodas. While the heart of dirty sodas may still be Utah and the Mountain west states, Swig has expanded to around 140 locations across. This is insane to me. To me, this feels like a really tough business to be in long term because if, if the product becomes popular, everyone has it. Everyone has it immediately. You have no real ip.
18:53
Yeah, right.
19:25
Because you're just using sodas. Sodas off the shelf. Sure. Tanner's main investor, family investment office Larry H. Miller co brought in a professional chief executive who has taken other companies public. And he is talking of an eventual initial public offering for the chain which had around 100 million in sales last year. Tanner I mean, these must be incredibly simple to run. It's literally a box. You have soda and creamer. Yeah, we're doing what Starbucks did for coffee but for soda, said Swig CEO Alex Dunn. So Alex Dunn says pull up here 6am on the way to the gym. Grab a big soda.
19:26
I feel like you'd need more caffeine if you really wanted to displace Starbucks.
19:58
Well, I was just gonna say on the caffeine thing, isn't the whole point that it doesn't have. It's like not caffeinated. Right. Because you're Mormon.
20:01
Oh, okay. So it's a Utah thing.
20:07
I did something recently that felt. It felt really wrong, but the result was good. I mixed a yerba with a Mexican Coke.
20:10
Ooh, okay.
20:17
And it was fantastic.
20:18
Mata yena.
20:20
Yeah.
20:20
In Mexican Coke.
20:21
Yeah.
20:22
It's fun. They said a few years ago, Olivia Rodrigo promoted it and it went viral. I thought this business was only a few years old, I guess.
20:23
No, it's an overnight success.
20:31
That's pretty remarkable. Yeah.
20:35
After customers started referring to Swig's Dr. Pepper and Cream combination as dirty soda, Tanner latched onto the phrase encouraging customers. They gotta. They gotta pay future royalty. I won't stand by that.
20:36
They should get future as an influencer. Be good.
20:48
Yeah. He's like. When I said dirty soda, I meant promo magazine. By 2017, Swig had grown to more than a dozen stores. The staff was spread thin, and Tanner realized she lacked the expertise to grow further. She and her husband separated in 2020 RIP and is no longer involved in Swig. And I hate when I'm just like reading this incredible story of entrepreneurship and then, and then they kind of interrupt the flow there. The White House has posted biggest period bowl, period, run, period ever, period, starting period now, period.
20:50
Did they post this? Scroll down?
21:24
Yeah. No. So they're sharing a fake screenshot from Truth Social where Donald Trump says let the gains begin. I mean, he really did call the.
21:26
Bottom, at least a local bottom of veracity and truth.
21:40
No, I'm just saying, like if you bought. If you bought Nvidia when he bought Nvidia when he hit. When this fake post was shared by the real account. Joe Weisenthal shared yesterday. Silver down 19%. Anthropic must have launched a silver extension.
21:47
Yes. It's just chaos in the markets. It's just absolute chaos everywhere.
22:03
One of the most chaotic weeks of my. My adult life.
22:08
Yeah, but it's been, I mean, lots of green shoots, lots of interesting projects, lots of interesting applications and progress all over the place. Derek Thompson said, for me, the odds that AI is a bubble declined significantly in the last three weeks. And the odds that we are actually quite under built for the necessary levels. Inference usage went up significantly in that period.
22:13
Basically AGI pilled.
22:34
I think AI is going to become the home screen of a ludicrously high percentage of white collar workers in the next two years. And parallel agents will be deployed in the battlefield of knowledge work at downright Soviet levels. And Kevin Roose over at the New York Times, host of the Hard Fork podcast, says this is why everyone was freaking out about clogged code over winter break. Once you see an agent autonomously doing stuff for you, it's so instantly clear that all computer based work will be done this way. This is why my serious AI policy proposal is to sit every member of Congress down in a room with laptops for 30 minutes and have them all build websites.
22:36
Yeah.
23:14
Get them vibe.
23:14
So we were joking about this yesterday with Sholto, like, we maybe need more long weekends for AI adoption. But I wouldn't be surprised for a big company to actually do something like this, which is like, hey, we're going to have the next Thursday Friday off.
23:15
Hackathon. Yeah, basically congressional hackathon.
23:30
I mean, Congress is a whole other thing.
23:33
You got to go to Congress, sit all the Congress people down, get them, get them vibe coding. What would they build? I feel like they don't use a lot of software, so there's not that much to build. Like, they're so abstracted away from it. It's all lunches and phone calls and dinners and meetings. Like, there's not that much that. Actually, this is the thing with, like Open Claw. There's some people asking, like, what are you actually using it for? And people are realizing a lot of my. My day is not, you know, the.
23:36
Thing that I wish I could automate what my mail at home.
24:03
Okay, you can do that. Have you seen Earth Class Mail? There are a few of these virtual mailboxes.
24:06
Okay. It sends it. It sends it.
24:12
So basically you forget your home address. You don't share it anywhere on the Internet. You never put it anywhere. You only use this other address. Mine was like 830 Market street in San Francisco. All of the mail would go there. If it's addressed to me, it gets opened by a robot, scanned, and then you have a web dashboard. But also it just goes to your email and then you can actually say.
24:13
So they've been AGI pilled for decades.
24:34
Decades. No, it was really important. When you set up a business, you use a fake address or one of these virtual mailboxes, and then you can actually click a button, send this to me physically. And then you have a virtual, you know, representation of it forever. And you could run an agent over it. So maybe that's the next thing you pick up is a virtual mailbox.
24:36
That would be good. I'm just saying I never want to open up a physical piece of mail again.
24:56
Optimus open the it for you.
25:00
Takes a picture, does a money spread.
25:02
Does a money spread. Walks to the. Walks to the post office, mails the next letter, mails the check. This is the future Jensen is pushing back on. The AI will kill all software.
25:04
Let's play the video.
25:14
Software is a tool. There's this notion that the tool in the software industry is in decline and will be replaced by AI. You could tell because there's a whole bunch of software companies whose stock prices are under a lot of pressure because somehow AI is going to replace them. It is the most illogical thing in the world. And time will prove itself. Let's just give it. Let's give ourselves the ultimate thought experiment. Suppose we are the ultimate AI, Artificial general robotics, the ultimate AI, the physical version of us. You could, of course, solve any problem because you're humanoid. You could do things. If you were a human or robot, would you use a screwdriver or invent a new screwdriver? I would just use one. Would you use a hammer or invent a new hammer? Would you use a chainsaw or invent a new chainsaw? Ideally, they don't use it at all.
25:15
A lot of disagreement in the timeline.
26:10
But do you understand what I'm saying? If you were a human or robot, artificial General robotics, would you use tools or reinvent tools? The answer, obviously, is to use tools, Tyler.
26:12
Okay, I completely disagree. So if you're a robot, hit him with the axe. You'll use the calculator, right? You'll just build the calculator if it costs you a lot of money to use the calculator.
26:26
Yes, yes.
26:36
So I think digital agents will use Salesforce, but if Salesforce becomes very expensive, it's already fairly expensive. At some point, it becomes cheaper to just build it themselves and then.
26:37
Yes, yes.
26:50
Yeah. Especially when they're like, I can work the equivalent of 2,000 lifetimes today.
26:50
Let's go over to the Guinness tally. Tyler has it. He counted it up, he sat down, he studied the Dorkesh Patel cheeky pint crossover episode with Elon Musk. And he counted three pints for Elon, four pints for John, and three quarters of a pint for Dwarkesh. But there's a suspicious refill.
26:56
So if you're tracking Dwarkesh's volume throughout the episode, it kind of goes down. And he's at maybe like 80% full. And then it goes back up. There's like an ad read, and then it goes back up. So the question is, whatever happened during the ad read? Right. Did he just slam it true filled back up all the way or is it just kind of a partial fill?
27:16
I think you got to give him 1.75.
27:35
Okay, can we pull up the screenshot?
27:37
They look like full size full pint cloth.
27:40
So, so yeah, if you go to another, another photo of, of Elon holding the pint.
27:42
Yes.
27:48
Okay.
27:49
That looks pretty small in his hands.
27:50
A little small. And then, and then let's click over to Timothee Chalamet. Timothee Chalamet. I mean he's a smaller person, but it looks the same size to me. I think these are fair pint glasses.
27:52
So Timothy Chalamet is 5 10, Elon is 6 2. So slight height difference. But I mean, I don't, I feel.
28:01
Like, yeah, Elon is really mauling that maybe.
28:08
Yeah, I think, I think they're just potentially wider.
28:11
I think they.
28:14
And this is the kind of hard hitting analysis that you can really only get on this show. No other technology media is really breaking down. I'm going pint analysis.
28:14
I'm going normal sized pints on this. But it is, it is an interesting optical illusion.
28:24
Yeah, this one looks incredible.
28:29
It's a little bit of an optical illusion. It's close. It's close. I mean either way.
28:30
I know, but we don't know.
28:36
Even if it's a half pint. John drank four, so that's two full pints. Even if it's a half pint, you.
28:37
Know, you know who else is going full pint? John.
28:43
Who?
28:46
The founder of crypto.com.
28:46
Oh yeah.
28:47
Who just bought AI.com for 70 million. Let's go big, big, big. He is running an ad for AI.com we don't know what AI.com is yet. He actually bought it last year in April. Highest price ever disclosed for domain sale. To launch a new entrant into the AI race, the site will offer a personal AI agent that consumers can use to send messages, use apps and trade stocks. It's very, very American. Send message, send memes, order doordash and trade stocks with your new AI agent.
28:48
Breaking news. Close the show. Out with breaking news.
29:26
Breaking news. Hobbit Inspired startup becomes first New bank greenlighted 2.0 One of the most insane headlines.
29:28
Boom.
29:36
That one is for Trevor Palmer and the whole team.
29:38
Erebor founder Palmer Luckey was one of the tech industry's early Trump supporters and he's known for pension for Hawaiian shirts. They're really focusing on Palmer's like non banking relationships here.
29:42
Palmer is a banker now. Everyone.
29:54
Erebor will cater to startups and high net worth individuals on Friday.
29:56
You can think of us like a farmer's bank for tech, said Lucky. I think most farmers banks won't claim they are the best bankers in the world, but they do understand farmers.
30:00
Is a local bank going to lend against you? No, he said. If you have less than $10 million in revenue and you're struggling to secure a loan from a traditional bank, investor expectations are high. Erebor was valued at about $2 billion in a funding round last year, over seven times its book value, according to Investor Pitch Deck. A subsequent round valued erebor at 4 billion. So leave us 5 stars on Apple Podcast and Spotify Sign up for our Newsletter we love you. Good.
30:12
It.
30:40