TBPN

U.S. AI Execs Warn as China’s AI Push Grows, Substack Adds AI Detection Tool | Diet TBPN

30 min
Jul 21, 2026about 1 month ago
Listen to Episode
Summary

The episode covers the escalating US-China AI rivalry, focusing on debates over open-source Chinese AI models, regulatory responses, and national security concerns raised by OpenAI and Anthropic executives. Additional topics include Substack's new AI detection feature via Pangram, Ramp's model router launch, and a tangential discussion on airplane seat reclining etiquette and houseboat living in San Francisco.

Insights
  • OpenAI and Anthropic's calls for AI regulation may be partly motivated by competitive self-interest, as both companies are preparing for public listings and face pressure from cheaper Chinese open-source models.
  • The US government's response to Chinese AI is fragmented — Treasury supports open-source while security officials weigh sanctions and blacklists, suggesting no unified policy is imminent.
  • Distillation of proprietary model outputs into open-weight models is increasingly suspected but difficult to prove or legally enforce, especially against Chinese companies.
  • Ramp's model router signals a new product category: AI cost governance tools for enterprises, addressing CFO frustration with uncontrolled token spend across frontier models.
  • China may restrict its own AI model weight exports, suggesting both sides are converging toward controlled AI ecosystems despite open-source rhetoric.
Trends
Chinese open-source AI models (Kimi K3, Qwen) are rapidly closing the gap with US frontier models at a fraction of the cost, threatening the valuation basis of top US AI labs.AI regulation is increasingly being framed as a national security issue, opening the door to sanctions and trade blacklists targeting Chinese AI companies.Enterprise AI cost management is emerging as a distinct product category, with tools like Ramp's model router routing queries to cost-appropriate models.Cybersecurity-tuned AI models are becoming a competitive battleground, with Google releasing Flash Cyber to undercut expensive frontier model deployments.Open-weight model releases are becoming a geopolitical signal, with both the US and China weighing whether to restrict weight distribution.AI detection tools are being integrated into content platforms (e.g., Substack + Pangram), reflecting growing demand for human-vs-AI content transparency.The line between distillation and independent model development is blurring, creating legal and ethical ambiguity that benefits well-resourced actors.Semantic similarity analysis is emerging as a forensic tool to detect model distillation relationships between AI systems.Ghostwriting and AI-assisted content creation are converging, forcing platforms to reconsider disclosure norms.Alternative low-cost urban living (houseboats) is being discussed as a viable option for tech workers in high-cost cities like San Francisco.
Companies
OpenAI
Executives warned about Chinese open-source AI risks; Dean Ball's 'AI communism' post sparked regulatory debate.
Anthropic
CEO Dario Amodei warned about open AI cybersecurity risks; settled $1.5B copyright lawsuit over illegally stored books.
Moonshot AI
Released Kimi K3, a competitive open-weight model benchmarked against US frontier models.
Alibaba
Released Qwen 3.8 Max and is a major investor in Moonshot AI, mirroring a Google-Anthropic dynamic.
Google
Released Gemini 3.5 Flash and Flash Cyber, targeting cost-sensitive enterprise cybersecurity use cases.
Nvidia
Nemotron Ultra open-weight model is gaining traction as a competitive US open-source alternative.
Thinking Machines Lab
Released its first open-weight AI model, led by former AI chief Mira Murati.
Substack
Launched an AI detection feature via Pangram integration to flag AI-generated content on the platform.
Pangram
Integrated with Substack to provide AI content detection estimates for posts, replies, and comments.
Ramp
Launched a model router product to help enterprises manage AI token costs across multiple models.
ByteDance
Named among Chinese AI companies in discussions with China's MOFCOM about restricting model weight exports.
Perplexity
Mentioned as having fine-tuned a 1776 version of DeepSeek using sparse autoencoders.
DeepSeek
Referenced as the Chinese base model used for fine-tuning experiments, highlighting IP origin questions.
Hugging Face
George Hotz cited it as the standard for open model distribution, contrasting Anthropic's closed approach.
Bloomberg
Dario Amodei gave a Bloomberg interview warning about risks of freely downloadable AI cybersecurity models.
People
Dean Ball
Posted about 'AI communism' risk from open-weight models; sparked regulatory debate and took a victory lap.
Dario Amodei
Warned in Bloomberg interview that free downloadable AI with cybersecurity capabilities poses serious risks.
Sam Altman
Previously said OpenAI's closed-only model approach was unwise; company now developing open models.
David Sacks
Called Dean Ball's post a 'regulatory capture strategy' and criticized AI regulation as a competitive weapon.
Mira Murati
Led Thinking Machines Lab's release of its first open-weight AI model.
Scott Bessant
Said the administration supports open-source AI but will sanction overseas models that steal US IP.
George Hotz
Fired back at Jim Cramer, calling US AI companies 'rent extraction machines' that have lost the plot.
Nikesh Arora
Mentioned as having spent ~$1M using AI to find a zero-day bug, highlighting cost barriers for SMBs.
Dave Eggers
Wrote FT piece claiming no one will read AI novels; lives on a sailboat near the Golden Gate Bridge.
Jim Cramer
Called for US companies to avoid Chinese AI models on national security grounds.
Tyler Cowen
Discussed with hosts whether banning Chinese AI models is practically enforceable.
Chris Best
Mentioned as a guest to debate AI content disclosure norms following Substack's Pangram integration launch.
Eric Lyman
Discussed CFO frustration with AI token routing costs in a prior episode referenced by the hosts.
Antonio Garcia Martinez
Mentioned for writing about houseboat living in Chaos Monkeys, cited as precedent for SF tech workers.
Quotes
"Probable outcome of an open weight model dominant world is full AI communism, which is precisely what China proposes. Rather than a market product, AI is a public good which will ultimately be provided by the state as a kind of digital public infrastructure."
Dean Ball
"The weaponization of regulatory uncertainty as a competitive tool should be completely unacceptable."
David Sacks
"I'd be happy to use Anthropic if they put their weights on Hugging Face like the Chinese. American tech companies are rent extraction machines that have lost the plot."
George Hotz
"What we do not support is IP theft. If we see especially that overseas models are stealing from our great companies, we have the ability to sanction them because of this theft."
Scott Bessant
"Ramp launching a model router is God tier product expansion. The market is exhausted with token maxing. Proliferation of new models. Sovereignty."
Braxton
Full Transcript
3 Speakers
Speaker A

China, China, China, China is in the news. Top American execs are sounding alarms. The White House is divided on how to respond to recent advances in Chinese AI has weighed crackdown measures. We, we talked about how this was coming. It is interesting. There's a, there's, there's a lot of like hurry up and pedal to the metal and then pull back and then ban the American model and then are we going to ban the Chinese model in a similar way? And lots of contradictions. Lots of insider baseball. Everyone's critiquing everyone else. Lots of interesting takes. Also just some interesting data about what's actually going on with these models. How advanced are they? Where do they come from? How cheap are they to make? What are the economic impacts in America? But the Wall Street Journal has a nice little roundup here we can take you through. So Silicon Valley and Washington are debating a multi billion dollar question. Should American companies be able to use chines, artificial artificial intelligence models? They certainly have been able to. Hasn't been a problem for years. But now they're getting stronger. OpenAI and anthropic executives are sounding the alarm about the rise of cheap AI, particularly powerful new models produced in China, suggesting that they will lead to, quote, a dystopian AI future and present unacceptable security risks without regulation. And that is the point of debate. Are you on the disposal, the side of dystopian open source or liberating open source? The George Hobbs frame Some analysis. Some analysts who study the AI industry say the two companies which are preparing for public listings in the next year, they just want to eliminate the competition. The emergence of highly capable open autonomous AI systems including Moonshot AI's Kimi K3 model and Alibaba's Quinn 3.8 Max. And Alibaba is actually a massive investor in Moonshot. They have their own anthropic Google over there going on. Alibaba is like very much the Google too in the sense that they have a large position there which were released in recent days and viewed favorably by investors and users has turned the AI race on its head once again. Kimi K3 was also competitive with US models on some benchmarks. The debate over the new models, which are quote, quote, open, wait, but not yet. They're, they're about to open source them. We'll see what happens next week. Allowing users to download and customize them with company data for specific tasks. Very, very good, very useful. Coincides with division in the Trump administration about whether to take steps to limit the use of models in the United States. Quote 1 Probable outcome of an open weight model dominant world is full AI communism, which is precisely what China proposes. Rather than a market product, AI is a public good which will ultimately be provided by the state as a kind of digital public infrastructure, Dean Ball, OpenAI's head of strategic futures, said in an ex post Friday. Dean Ball made it to the pages of the Wall Street Journal. Now the AI communism is just at the model level. Like there would still be a bunch of like a lot of people who are long compute, long NEO cloud. They say like this is where the value should accrue, the data centers will accrue a reasonable margin and they will still continue to make money. And so it's not that this automatically leads to nationalization of compute in any way. People would still be paid. But the but the margins might be lower is at least the formulation here. So Ball, a former Trump administration official, called such a scenario a dystopian hellscape, and he said he expected the Trump administration to make moves to toward reducing the use of open source models. Ball later clarified that he wasn't advocating for the United States government to discourage Chinese AI. He also highlighted a central challenge with the AI race. Top tier AI companies raised billions of dollars to pay for the vast computing resources needed to continue improving AI systems. If everyone uses AI systems that people largely don't pay for, there would be no way to finance continued frontier AI development. Ball, who started at the company earlier this month and focuses on policy and Strategy and OpenAI have said his comments don't reflect the company's official positions and he's just posting the company has developed its own models, own open models, and Chief executive Sam Altman had previously said that OpenAI's past approach of only developing closed tools was unwise. Other top AI executives have warned that open models present huge risk since developers and policymakers lack control over how they are used and modified. A lot of risk of cyber attacks, a lot of risk of annoying spam attacks. The cyber thing is very concerning and annoying if that really ramps up. But the good news is that the closed source models have been available to cybersecurity firms and a lot of big major companies. The finance industry, for example, has had access to Mythos and GPT Cyber for almost six months. And then just today Google announced a specific model, Flashlight Cyber, I think so they're trying to offer a similar capability but really go down the cost curve because a lot of the cyber tools there was incredible breakthroughs with Mythos GPT Cyber like great benchmarks on those, but could be very expensive, we heard, I think, wasn't it? Nikesh Arora said, I think he spent like a million dollars to find some zero day bug and it was like totally worth it. But that's expensive for smaller companies that might just need. It would be great to just be able to go to a cheap cyber tuned model, get approved by Google and say hey, just go and read every line of code and just let me know if there's anything that's obvious and that could be good.

0:02

Speaker B

Yeah. And just to be clear, they released 3.5 flashlight and 3.5 flash cyber. So it's not like flashlight Cyber.

5:28

Speaker A

Okay. But Flash is still cheaper than the big model.

5:34

Speaker C

Right.

5:38

Speaker B

There's like the pro and then there's.

5:38

Speaker A

And so I have to imagine that if you given the choice, if you're like a mid sized company and your choice is like go beat down the door to get into project Glasswing to spend $5 million to have mythos read every line of code or you're like, oh well, I'm already a Google partner. I have a really solid business relationship with them because I've been buying ads and I have Google webmaster tools set up and I just want to go set up Flash Cyber, not flashlight Cyber. I imagine that the cost would be cheaper because they fine tune this model for this specific thing, so. Anthropic CEO Dario Amadei for years has warned about the risks of powerful and open AI systems, saying in a recent Bloomberg interview that having AI models with advanced cybersecurity capabilities that are free to download could be harmful. He said it's a serious concern. Use of Chinese models, which are far cheaper than US counterparts is surging at US companies, prompting some investors to question the staying power of top model makers such as Anthropic and Open. The current US open source frontier is starting to catch up with China's. On Wednesday, Thinking Machines lab, led by former AI technology chief Miramoradi released its first AI model as open weight. Nvidia's Nemo Tron 3 Ultra is starting to see traction. That's interesting to hear. I haven't heard any nearly enough buzz around Nemotron. I know Jensen has been investing in it. He's also investing in a lot of up and down the stack.

5:39

Speaker C

I've been hearing buzz about the name John Nemotron's good Nemo Tron.

7:04

Speaker A

Why?

7:08

Speaker C

Very cool name. People are, you know, there's, there's some talks bubbling. People are saying it's, it's, it's one of the best names for for a family of models ever.

7:08

Speaker A

What comes after Ultra? Isn't that what the Didn't Apple first do that with the the M4 Pro, the M4 Max, the M4 Ultra? So we got to come up with an even better word for what happens. Giga Ultra, Giga, maybe hyper and then exa. The market's faith in Anthropic and OpenAI continuing to build more capable models that push the frontier AI frontier has been at the heart of the boom, helping justify trillions of dollars in spending on infrastructure in the coming years. The threat that new players will vastly undercut what they can charge for advanced AI Push down some tech and AI company stocks prices Last week, David Sachs, the venture capitalist and White House AI advisor, suggested that he read Ball's post as a confession to a regulatory capture strategy. Sachs and others have long seen calls for AI regulation by companies such as Anthropica's efforts to use new laws and policies to stymie competitors. The weaponization of regulatory uncertainty as a competitive tool should be completely unacceptable, he said. Security focused Administration officials in the past year have considered a slew of measures to crack down on Chinese AI companies developing open models. People familiar with the discussion said they've weighed adding the businesses to trade blacklists, security warnings on Chinese AI companies, and a potential executive order targeting open models. So it does seem like even though Tyler Cowen, we were going back and forth with him about this about like can you even ban it? You can't really ban anything in the land of the free. Like the solution to piracy was not really to ban piracy. Like you can still torrent things. But it's just so easy to use Apple TV and Spotify and Netflix that most people just wind up just paying $5 $2 for a song or $10 a month for something that it effectively killed it just because the product experience was better.

7:17

Speaker C

This morning our Treasury Secretary Bessant was on Fox and said this administration supports open source models, but what we do not support is IP theft. If we see especially that overseas models are stealing from our great companies, we have the ability to sanction them because of this theft. So it will be if the admin does take serious action here, I would expect that to be the line of reasoning where they could just sanction the companies behind these models, which I imagine would create a real opportunity for American open source. You would ultimately see a lot of these, you know, Neo clouds unable, I imagine to serve the, you know, traditional Chinese open source models. I imagine that even open router would probably have to yeah, maybe stop supporting that.

9:05

Speaker A

But again, with an open source model, like, how do you even define it? Because if there's a research paper and then you go and implement that and you train it, or you take it, you fine tune it, or you use the data to bootstrap your own model, like, just like where, where in the supply chain. How many steps away do you need to be to like, not count on there? Didn't Perplexity do like a 1776 deep seq very quickly? They did a fine tune. I think you did a fine tune on deep SEQ as well.

10:00

Speaker B

Yeah, it was like using sparse autoencoders. Okay, I did it first, so. But.

10:27

Speaker A

And what nationality was the model that you used as the base?

10:32

Speaker B

Well, it was deep sea. It was Chinese. Wow.

10:35

Speaker A

Confession. You can go now.

10:37

Speaker C

Yeah. People are already angry at Bessant's comments and are saying. Funny that he's not mentioning that. Yesterday, US judge approved Anthropic's $1.5 billion copyright lawsuit settlement or. I don't think they. They. I think they settled that they were in possession of books that had been torrented or basically acquired unlawfully. Yeah, I don't believe that acquired unlawfully.

10:41

Speaker A

Sound like they stole the book. I think they bought the books.

11:11

Speaker C

No, no, no, no, no. I think this was. No, they separately, they bought a bunch of books, trained on them, and destroyed them.

11:14

Speaker A

And that just made people upset because no one. The idea of books being destroyed, of

11:20

Speaker C

course, I think those were rare like books.

11:24

Speaker A

The Willmanitis collection was destroyed. Rare PDFs.

11:28

Speaker C

Judge William Allsup of the US District Court for the Northern District of California issued a preliminary approval of the settlement last year after ruling that Anthropic had illegally downloaded and stored millions of copyrighted books. And the settlement was signed off on by a different judge yesterday. The Payout will deliver $3,000 per work across an estimated 500,000 works shared among the authors and publishers who hold rights to them.

11:33

Speaker A

Anyway, there was some news about, like, whether or not Kimmy K3 is distilled. Tyler, can you take us through this Lisan Al Gaib post?

11:58

Speaker B

Yeah, so he didn't actually make this chart. It was from someone else. But basically this shows a bunch of models compared to another. And it's like the kind of semantic similarities between them.

12:08

Speaker A

Okay.

12:16

Speaker B

So it's like if you use similar kind of diction or phrases, stuff like this, you just like pump the model a bunch of times and you kind of can tell what's similar to each other. And you can see in this Version, it looks like Kimiki 3 is very similar to Fable 5, Fable 5, and

12:17

Speaker A

then also Opus 4.7, Opus 4.8 and Sonnet 5. So they might have gotten tokens from like all four of those models sort of mixed together.

12:32

Speaker B

Yeah. Also I think this exact example, like only like a few prompts were used. It's not like super involved. It's also like this is very much just like correlation. This is not like proving that they distill or anything. They could have just used like similar, you know, post training techniques or something like this.

12:38

Speaker A

Totally. But notably, GPT 5.4, 5.5, 5.6 share very little similarity to the Anthropic models and vice versa. The anthropic models don't seem to be correlated with the OpenAI models, although the OpenAI models are correlated with them with each other. So 5.6, Luna looks pretty correlated with 5.4 because they probably were like, well, we're building on the shoulders of the work that we've been done. And it's the same thing with Anthropic, where Fable has some of the same flavor as an Opus or a haiku. And that makes sense.

12:52

Speaker B

That makes sense because people have been saying, oh, maybe those models were actually distilled from the big like Mythos pre train. Right? Yeah.

13:29

Speaker A

Or Fable is the first Mythos class. Or vice versa. You have a bunch of users that are doing rollouts on Opus, trying to vibe code different things, and you take all that training data and then you feed that into Fable. And Fable sort of like picks up on a lot of that because that's what the user said. Wow, you really did a great job on this opus. Or you did really poorly. It pulls that out, but it's still learning the textual similarity. Well, people will go back and forth on this and debate the level of distillation and also what the punishment for distillation should be. Should it just be a slap on the wrist or should it be something bigger?

13:36

Speaker C

The only thing I would say here is like distillation against the terms of service. And I think that suing Chinese companies, it would be a complete and total waste of time. Ask anyone who's built a product that's been knocked.

14:13

Speaker A

I disagree. Incredible. Ora Farm. If you personally serve Xi Jinping, the next time he's in San Francisco meeting with a world leader, you show up,

14:29

Speaker C

you have been served.

14:41

Speaker A

You show up to the un, serve the world leader. There's something about that that's, you know, extremely bold. But no, I agree with you. Very difficult. I Don't even know if you went to your law firm and you said like, hey, we want to sue this Chinese company. Like how they would trace that down. Jim Cramer says we must not let our companies use these Chinese models to save a few bucks. OpenAI and Anthropic are correct. This is vital national security. Please, please read Bing West's just released Cat 5. I respect the Chinese people greatly, but these companies are run by the PLA, for heaven's sakes. George Hotz fires back under the tiny grad handle. He says, is this a joke? I'd be happy to use Anthropic if they put their weights on hugging face like the Chinese. American tech companies are rent extraction machines that have lost the plot. No point continuing to defend them. They need to change if they want to win people back.

14:41

Speaker C

Meanwhile, China is also thinking about export controls. In the Financial times, apparently Alibaba, ByteDance and MOFCOM. MOFCOM talk to AI companies including Alibaba, ByteDance and ZipU on limiting the transfer of key data for the training of their models overseas probably as well as allowing their model weights to be downloaded.

15:36

Speaker A

Or Ministry of Commerce, probably their Department of Commerce.

15:56

Speaker C

That seems more like it. China would still let overseas customers access the models and services, but it sounds like they're leaning towards not making the weights open. We're going to. We're going to see with the new Kimi K3 if they actually release the weights next week. Dean Ball says, wow, two days in a row where things I said are likely to happen seem likelier to happen from two adversarial countries. Almost as though my analysis was right and as though people should not have deliberately misinterpreted. Misinterpreted me as of making prescriptions. Huh?

15:58

Speaker A

Dean Ball, victory laugh. You gotta take a victory lap for Dean Ball. He called it. No, he. I mean, he was saying, like, I don't necessarily agree with this, but just from his experience, this is how things might play out and people were very upset with him about that.

16:30

Speaker C

Raj and Chat says Ministry of Commerce, People's Republic.

16:45

Speaker A

Yeah, it's their Department of Commerce.

16:49

Speaker C

That would go hard on a business card.

16:51

Speaker A

It would.

16:53

Speaker C

The great slop wars. Slop wars continue. Let's pull up this video from Substack. They say today Substack is launching an AI detection feature via an integration with Pangram. Going forward, you'll be able to scan posts, replies and comments on the Substack app to see an estimate of how much of it was written by a human or with AI assistance. We care about this at Substack because it gets to the core of our mission to build an economic engine for culture.

16:54

Speaker A

This is going to be bad for Tyler since he's mastered the ability to write exactly like an AI. What was that sentence? Sentence you wrote by hand? That was like, according to studies. You're absolutely right. And you just threw in every possible AI ism and got flagged 100% by Pangram. But no, I think people will enjoy this. The revealed preference is probably that people don't care if it's good and they enjoy the content. But we'll go back and forth and debate it with Chris Best today and see where all of that is going. Now, do you think that Substack writers should admit when they hire, essentially, ghostwriters? Probably because sometimes you start a brand under a name. Like, not Every post on Bloomberg.com is from Michael Bloomberg. In fact, none of them are. They're all from other people. But they disclose. This is from, you know, some writer. This is from Joe Weizenthal. Right. But some new influencer brands have grown. Even in the pre AI era. I had a writer on my team when I was doing YouTube videos where I would write something, he would do a draft, we'd go back and forth, I'd put him in the credits. But I wouldn't, like, kick it off with like, hey, just so you know,

17:19

Speaker C

says book authors don't. That is certainly.

18:40

Speaker A

That's 100% true. Some book authors will put like, this is written by this person and this person. It depends on, like, the aura of the ghostwriter. Some ghostwriters actually do get credits in the book. But yes, most book authors, like Tom Clancy, I think, passed away and is still producing books. There's a number of writers where they're. Their individual brand grew so big that they can. You can have a new business. Yeah, they become their own brand.

18:42

Speaker C

And so, yeah, I would. I would imagine that 30% of the books in like an airport bookstore are just 100% ghostwritten and probably. Yeah, don't disclose it.

19:06

Speaker A

I think. I do think it should be. It should be possible to get to the truth if you hunt hard enough. But I don't necessarily need you to put it front and center for a

19:16

Speaker C

substack author or creator. Just put it somewhere that you have a team of people that help you create your work.

19:27

Speaker A

Well, Dave Eggers took to the Financial Times saying that no one is going to read AI books. He's of course, the author of the Circle. He's an American writer, editor, publisher, a heartbreaking work of staggering Genius is his 2000 memoir bestseller Bien for finalists for the Pulitzer Prize. He says gullible and ridiculous. No one will read AI novels. I think people are already reading AI novels. So maybe he means like no one who's cool or no one who he likes or something. Let's read through a little bit of this Financial Times article. Dave Eggers offers a hand so I can clamor aboard his 23 foot sailboat. Moored in the shadow of San Francisco's Golden Gate Bridge. It's a grand setting with few frills. As we sit on the stern a meter apart, fuel cans and fishing nets at our feet. There's no one around to disturb our conversation. The nearest toilets are Port a Loos, a short bike ride away. The birthing fees are negligible, making it one of the cheapest places to live in uber wealthy Silicon Valley. I hadn't thought of that. Sailboat. If you're at a tech company, this has got to be the next big lock in trend.

19:35

Speaker B

Antonio Garcia Martinez did this. He talked about in his book.

20:46

Speaker A

But chaos monkeys I'm not. I won't be satisfied until I see LARPers posting images on Twitter being like, hey, I just moved to San Francisco, I'm building the next one person 25 billion.

20:49

Speaker C

I'm finding a houseboat in San Rafael.

21:00

Speaker A

Yeah.

21:03

Speaker C

How much for 1000? It actually works out to $1483 a month. Apparently if you finance it through boat trader goodbye. It's only about $200,000 to live in a 2022 houseboat.

21:03

Speaker A

2022, that's a brand new houseboat.

21:19

Speaker C

Yes. You have to think about the. Yeah, the slip fees, but you could easily come in, have your own house on the water.

21:21

Speaker A

The average one bedroom rent in San Francisco is like two grand, three grand right now.

21:27

Speaker B

Yeah.

21:32

Speaker C

You could have a whole house. And a boat.

21:32

Speaker A

And a boat. It's amazing. This is the hack. If you get a job in tech and you're printing, making six figures.

21:34

Speaker C

Wow.

21:42

Speaker A

Move into a houseboat.

21:42

Speaker C

Let's pull this up.

21:44

Speaker A

Is this an option in L. A? Should members of the team be doing this? Should we, should we recommend this to.

21:45

Speaker C

Look at this brand, Almost brand new. 2024 La Mer Modern 11 is a 36 foot houseboat. We have a video here.

21:50

Speaker A

Well, Dave Egger says they call it a $10 dock with a million dollar view.

21:59

Speaker C

Look at this, John. This.

22:05

Speaker A

Yeah.

22:07

Speaker C

A couple thousand bucks a month.

22:07

Speaker A

This is where the next great startup will be born. Sure.

22:10

Speaker C

Garages are out.

22:13

Speaker A

Garages, house Boats are in and also like, oh, take your shoes off. It's natural to take your shoes off when you're on a boat, you know. Right. Unless you got boat shoes, wear boat shoes.

22:14

Speaker C

The Lemaire Modern 11 offers reliable performance and strong power with two Yamaha 25 high thrust engines providing a total of 50 horsepower. It's two cabins and one head ensure overnight comfort for extended stays. How about year long stays? How about a decade long stay? The boat's design includes an upper deck terrace with flexi teak flooring enhancing its appeal for relaxation and entertainment. And might I say locking in standard features such as air conditioning. We have air conditioning on our houseboats with reverse cycle heat heated floors, LED lighting floors LED lighting. The inclusion of foam filled composite floats and galvanized steel subframe ensures durability and stability.

22:23

Speaker A

Did we just talk about the housing crisis? Send this to Sagar and Jetty immediately. This is seasteading. This is the teal thesis. Everyone living in houseboats just more.

23:07

Speaker C

Boat Trader.com is saying that this is amazing. Modern houseboat would come out to just $2,259 with only $52,000 down. I promise that we have no financial relationship with boat trader.com.

23:18

Speaker A

yeah.

23:33

Speaker C

Even though I'm making a pretty strong pitch here.

23:33

Speaker A

Yeah, I love it. Should you recline your airplane seat? What do you think? People are going back and forth on this.

23:36

Speaker C

Brandon Duck says, I don't remember subscribing to this channel, but I've been listening for 10 minutes. I'm having a good time.

23:45

Speaker A

Welcome.

23:51

Speaker C

Last name Ducks comes on just.

23:51

Speaker A

Yeah. Make it make sense. Just like I just happen to be here for the Duck section of the show.

23:54

Speaker C

Andrew says I'm gonna need a double wide houseboat. Lol. Bootlegging distilled anthropic models on the houseboat.

24:01

Speaker A

There we go.

24:08

Speaker C

Living the dream.

24:10

Speaker A

This is crazy. Okay, so should you recline your airplane seat? There's a central investigating the central dilemma of our time. Joshua Rothman in the New Yorker wrote a piece. Imagine this scenario. After a long drive to the airport. You've just taken off for a 15 hour flight. Where are you going? 15 hours is so long. How long was the flight to Austria from LA?

24:11

Speaker C

I think it's like 12 hours. I think you're going to the Middle East.

24:35

Speaker A

You're going to the Middle east maybe. Okay, you're in coach and a family of three is sitting behind you. A man, a woman and a toddler. They seem nice. But as the flight continues, the kiddo grows restless. He kicks your seat and pokes her toys into your shoulder. Stop that, you hear the father say. The toddler incredibly quiets down. The cabin lights dim. It's time to sleep. Yet just as rest closes in, you sense motion. The seat in front of you is reclining. You watch as it comes all the way back. Now you feel cramped with someone else's seat in your face. You also notice some stiffness in your shoulders. Your fingers caress your own recline button. Surely the reclined upon are entitled to recline. Just as you start to lean back, you hear a clearing throat. You turn around to see the dad who fixes you with his gaze. Excuse me, he says, would you mind keeping your seat up? I think it's game on. They put the button there. They would just take it away.

24:38

Speaker C

Yeah, I think, I think I've always expected everyone to just recline.

25:26

Speaker A

Everyone reclines. Everyone has the same amount of space. It's the conservation of space and the whole.

25:30

Speaker C

It's really hard to make the argument that the vertical seat is more comfortable than the recline seat.

25:36

Speaker A

Exactly.

25:40

Speaker C

So I think everyone commit to comfort.

25:41

Speaker A

Everyone commits to comfort.

25:43

Speaker C

And then the chat is sharing the real alpha. Stand up immediately when the flight land.

25:43

Speaker A

Have you seen those meta ray ban to the front. It's so rude. The guy is like, like, you know, he's like. As soon as he goes beep, he just bolts and passes everybody and gets to the front. Very rude. I don't think you should do that.

25:49

Speaker B

This is antisocial behavior. I don't think you should recline your seat.

26:03

Speaker A

How is it antisocial?

26:05

Speaker B

Because you're infringing on some. Just because you can do it doesn't mean you should.

26:06

Speaker A

But they put the button there.

26:10

Speaker C

Horrible. Their horrible take.

26:11

Speaker A

That's like. Don't use the bathroom on the, on

26:15

Speaker C

the plane, they put the bathroom. My entire life, even as a child, I was looking up, waiting for, for, you know, the, the seatbelt sign to, you know, to be up in the air. Seatbelt signs off. You recline your seat. Everyone reclines.

26:17

Speaker A

Everyone reclines.

26:29

Speaker C

All good?

26:30

Speaker A

Yeah. What about, what about ordering a Diet Coke on a plane? If I'm sitting next to you, will you order a Diet Coke or is that antisocial behavior?

26:31

Speaker B

That's completely different.

26:39

Speaker A

Okay. What's your stance on JBL in the airplane?

26:40

Speaker C

Little petty roll?

26:44

Speaker B

Jbl.

26:45

Speaker A

You know, I do think, I do think that could be the next, the next trend.

26:46

Speaker C

The big question is, are you bringing on your, you know, smart portable beaker, maybe from a, from an open AI? Are you Bringing that on the plane and talking to it the whole time, is that offensive?

26:50

Speaker A

I think that's deeply offensive.

27:04

Speaker C

Have you seen when, like, a band is traveling?

27:05

Speaker A

Yeah.

27:07

Speaker C

And they start playing on the plane?

27:08

Speaker B

Have you seen these videos?

27:10

Speaker A

No. That sounds cool, though.

27:10

Speaker B

I'll send you one.

27:12

Speaker A

Send me down.

27:13

Speaker C

That would make me jump.

27:13

Speaker A

So this all started because in 2014, 5:38. We gotta have him on the show, Nate. Obviously. 538 asked around 1,000 flyers what they thought about reclining their seats. 41% of them said that reclining was rude. So they lost. It's not rude.

27:14

Speaker C

It's over.

27:31

Speaker A

That number seems to have risen, though, in 2020. Eric Jones, a math professor who writes about travel statistics on the website the Vacationer, conducted a similar survey and found that 77% of respondents objected to reclining. Wow.

27:32

Speaker C

Sheep.

27:45

Speaker A

Sheeple. Over here, we got sheeple.

27:45

Speaker B

How about this? I think you should be able to recline if you're, like, dressed nicely. If you're wearing sweatpants, then you don't get to.

27:48

Speaker A

You don't get to recline.

27:54

Speaker B

Sort of a conditional even. Yeah.

27:55

Speaker C

Should kids be able to kick the front. The seat in front of them as much as they want?

27:57

Speaker A

See, that's something I will totally put up with. I'm totally fine getting kicked in the back by a kid because it's so brutal as a parent, as a kid to be on a plane. They're locked up in the plane. That's miserable. And just. Just toughen up. You're reclined. You have multiple inches of padding. Unless you got Ronaldo back, you're going to be fine.

28:01

Speaker C

Order that hot pizza pocket. Live life in the permanent underclass. Live a little, for God's sake.

28:21

Speaker A

Ramp launched a model router. Braxton loves it. He says Ramp launching a model router is God tier product expansion. The winds are blessing it. The market is exhausted with token maxing. Proliferation of new models. Sovereignty. This is the first time I've looked at a launch and went, wow, this might be the start of a new core product. Yeah, there's been a bunch of speculation about this, but it makes a lot of sense. Ramp's promise is to save you time and money. The CFOs are increasingly annoyed by token routing. We talked to Eric Lyman about this last week. Are you using the craziest frontier model? Burning millions of tokens to answer the weather? Maybe that should have an expense report attached. And so very, very exciting to see where this goes, how they roll it out. I know it's in alpha with a number of customers and I believe that the product's actually available to non ramp customers as well. So you can use their product exclusively.

28:27

Speaker C

Yush says going after everything time and money touches.

29:24

Speaker A

I love it. I love it. Anyway, leave us five stars on Apple Podcasts and Spotify. Sign up for our newsletter@tbpn.com and we love you. We love you.

29:28

Speaker C

Throwing flashbang.

29:38

Speaker A

Goodbye flashbang in the horse.

29:39