Limitless: An AI Podcast - Sam Altman Issues a "Code Red." The Tides Are Shifting In AI.

Episode Date: December 5, 2025

OpenAI Issues a Code Red, and Anthropic prepares for an outrageous IPO.Meanwhile, Amazon has stepped up their AI game, and also pose to eat the lunch of... USPS? Cheack out this crazy alien asteroid with us, and also: Thank you for tuning in this year! 2026 will be our biggest year ever. And by that, we mean first full year ever.-----🌌 LIMITLESS HQ: LISTEN & FOLLOW HERE ⬇️https://limitless.bankless.com/https://x.com/LimitlessFT------TIMESTAMPS0:00 OpenAI Code Red8:00 Anthropic14:30 Amazon20:30 RAM Shortage23:30 Apple Personnel Chaos27:00 Extraterrestrial Asteroid30:00 Spotify Wrapped------RESOURCESJosh: https://x.com/JoshKaleEjaaz: https://x.com/cryptopunk7213------Not financial or tax advice. See our investment disclosures here:https://www.bankless.com/disclosures⁠

The Golden Child of AI, OpenAI, has issued a code red. Just as Monday, Sam Altman, he sent out an internal memo declaring code red around chat GPT. What is code red? We're going to get into it, but we understand that it's a direct response to the increasing competition from people like Google and Anthropic who are now releasing models that are superior to anything that ChatGPT has ever created. Code Red seems a little risky, a little dangerous for a company that is so levered up on. future costs and not able to make a lot of money. So I'm not really sure what's going on here. EJez, you've lived through a code red in the past through previous experiences. Can you walk us through what it looks like when a company issues a code red? Because from what I understand, the entire company just gets put on pause and everyone focuses on a single existential risk to the

company. And I assume that's around chat GPT, right? Yeah. Code Red can be described with one word, Josh, danger. So I experienced a code red when I worked at Coinbase and it doesn't come about too often and it basically means one simple thing. The core product or the thing that makes your company special and all the money that it makes is in danger. It is about to die and it is under the threat of major competitors and you need to pile any and every resource that you can into protecting it and making it the number one leader again. And so my, experience at Coinbase when a Code Red was issued was literally I woke up one morning Josh there was a slack message across the entire company saying code red here's a list of things that

we need to do and I lost half my team to a completely different part of the organization to focus on something else and that pursued for like the next like quarter or so which is just kind of crazy and so in the context of Sam Altman and with OpenAI I just want to give a bit of a context as to like how this has come to be last week I'm showing you this article here, it was leaked in an internal memo by Sam Altman that he gathered the company around and said, hey, in the aftermath of Google releasing their new Gemini 3 Pro model, which absolutely blasted them across every single benchmark by a wide, wide margin, we're probably going to face some economic headwinds because what he was basically saying is our models aren't good enough

and we have to put in some more effort to catching up. And that kind of, that economic headwinds kind of like transgressed into a hurricane of sorts, if we wanted to keep the analogy going along, into a code red, where he's issued an internal memo to his company that we need to gather all resources to make chat GPT better. And there's three main buckets

that they're compiling these resources into, Josh, which I just want to briefly go over. Number one, improve model performance. So that means improving the benchmarks to match and beat Gemini 3 Pro and other competitor models and also to help on the pre-training and post-training front. So that's where the majority of the resources are going.

The second bucket is going to be an image generation. Now, I found this really interesting because this is a direct response to Gemini 3's Nano Banana release. We've spoken about this on a previous episode. You should definitely go check that out. I think it was from two weeks ago. But this is their text to image editing model, which is actually really good and driving the most usage for Gemini 3 right now.

Their downloads are off the charts right now because of this feature. Sam wants to combat that directly. And the third bucket is personalization, Josh. So you and I've said this before, but OpenAI or ChatGPT's moat is personalization. It's memory. It's the reason why you and I consistently use ChatGPT, despite there being a lot of these other models. They understand and they get us. He wants to double down on that.

So you might then ask, well, what comes at a cost to all of this? Like, what's the price that he's paying? Well, all the efforts and resources that he's been putting into advertising, into consumer, consumer products, in agents, into healthcare, all the stuff that he spoke about on his recent developer conference that everyone got super excited about is now void. Sora 2, it's kind of like, it's chilling. It's all been put on hold to focus on these three core buckets. He has gone into war mode, Josh.

Yeah, it's, I could understand why. I mean, Open AI, they're reportedly valued at what, half a trillion dollars, $500 billion. They have greater than 800 million weekly active users, which has surprisingly in suspiciously stayed the same over the last two months. Every time they mention it, it's been pegged at 800 million per week. So I'm a little curious if that means that they've kind of stalled out on growth. They are still unprofitable. And they have greater than $1 trillion in cloud and chip obligations to companies and partners like Microsoft, Oracle, and Nvidia. So they have this huge conundrum on their hands where they need to start making money. And in order to do so,

they need to have products that are superior to everybody else's. And we have on screen here a few charts that I found fascinating that may have spurred the code red, which is the relationship between Gemini downloads and Chat Chibati downloads. EJS, we mentioned just on our episode earlier this week how Gemini is now on the home screen of my phone. And this is a new phenomenon because of how good it is. We talk about Nano Banana all the time. We had an episode just about it because it was so good. And what you're seeing here in the charts is that Gemini is starting to catch up. And I suspect that it's okay if Gemini is a slightly superior model to Chat Chhabit. flagship model. But if the consumer application, if that product is at threat, which is the

chat GPT mobile app, the chat GPT desktop app, if that's under threat by a Gemini, then that's a serious problem. And that's what we're seeing reflected in these charts is Gemini is a better model, sure, but it's also now starting to impede on the actual user base of chat GPT. And when your company is contingent on this exponential line of growth and you have a real threat to that growth, you must do everything in your power to fix that. And that is what the code red is all about. It's like, okay, how do we make this product better? So we stop losing market share to these other competitors.

Yeah. And it's not like this threat isn't very, very real. I mean, look at this chart, right? You've got not only Gemini users and downloads creeping up to match chat GPT users, they're spending more time on the app, Josh, which has always been chatGBT's mode. So, you know, we might be fearmongering a bit here, but it is a very. very real threat. We've heard feedback from other people such as this tweet that I have pulled up here where, you know, this is just a fad. People are only using Gemini because of nano-bonano, Josh.

That's the main reason why you have it on your home screen right now. So there is an argument that this might die down in a few weeks. Time will tell, but it's obviously enough to kind of like push Sam into this hole where he needs to kind of like combat this, right? So then the next natural question I would ask is, well, what's he doing about this and how fast is he going to move? There's Two main updates that you need to know about. Next week, he's rumored to release a new reasoning model, which is meant to match and even surpass Gemini 3. It's kind of crazy how he's just done that turnaround.

We went from like no chat GPT model for the rest of the year to, yeah, we're going to roll out one next week. So we already see the effects of this code red coming into place. But then, Josh, there is another secret model, which is planned to be released early next year in January, called code named garlic, which is meant to be kind of like a GPT 5.5, which represents or implies a major jump in performance

and for them to retake the kind of number one spot convincingly. This is all hearsay right now. I have no confidence that this is going to happen, but these are the kind of like rumors being spread. And Google isn't the only threat that they're facing that is kind of instigating them with this code red. Anthropic has come out of the woodworks with a flashy new code.

model Claude Opus 4.5, which not only maintain their lead as the number one coding AI model, but kind of boost them even further than they already were. Like they've got like a marginal lead right now. I'm showing up the quick stats on Opus 4.5 right here. You've got stuff as a 80% on agentic coding, terminal coding, 60%, agent tool use, 90%. If you compare these to any of their previous models as well as Gemini, 3 Pro, they are absolutely smashing it, right? And so the fact is, despite Google's kind of like advantage with TPUs or whatever stuff, we've spoken about this on a dedicated episode actually earlier

this week or last week, definitely go check that out. They've been able to find a secret source to kind of like boosting their models, Josh. And this is one of many good things about this new model release and about Anthropic this week. Josh, do you have any thoughts on this model? The reason why I'm like impressed by this is I think coding is such an important. important kind of characteristic to have or advantage to have for a model. Why? Because if you have the best coding model, you can practically create whatever the hell you want. If there's a competitor that creates a cool new feature, well, hey, Anthropic can just spin up an exact replica and hearsay. Do you feel the same? Yeah. So here's the getting back to the chat ChaptiPT point,

Gemini is better at math and science. Anthropic is better at code. That leaves a narrower and narrower sliver for Chat Chabit to actually be great at. And this is a, Anthropic model, it's amazing. I think one of the most important things that I want to highlight here is the scores are great, but the cost per token is the most impressive because not only is it a huge intelligence jump, it is significantly cheaper per token. Yeah, you could see this chart here how much cheaper it is relative to previous models. And how we're kind of getting this exponential increase, where it seemed to previously be flattening out. We're getting a new increase. And Anthropic kind of exists in this strange bubble of code, but my God, is it really good at code?

And it comes equipped with this new agentic feature. It will actually ask you a series of questions after you submit a prompt that will kind of go through all of the edge cases that you might want. And then it will one-shot things that are really impressive. We have an example of a designing of front end, right? Yeah. This is crazy. I mean, look at this. Yeah, I mean, literally, like, look, okay, like, I don't need to demonstrate the entire video, but just look at the prompt on the last.

here that I'm circling with my cursor and then just look at the result. This is this happens by the way over a matter of like a few minutes. You have like a fancy fintech background. Sorry, FinTech front end, which is what the prompt asked it to build in a matter of minutes. This would normally take a like a Fortune 500 company a couple months to produce about two years ago. And now it's happening in in under four minutes, which is just insane to see. But Josh, there's also this really cool blog post I saw about the Red Team. project. Can you tell me about this? This seems cool. This week, we have open AI with code red and Anthropic with Red team. And it kind of shows you, it's a testament to where both companies are at right now. One is very clearly on the defense. One seems to be on the offense. So part of this new Anthropic rollout is they publish this blog post about whether AIs can actually exploit blockchains and smart contracts. So for the crypto fans, this is for you. In simulated testing, they found that it could gain access to $4.6 million in exploits. And I, Again, I mean, Anthropic is the best coding model in the world.

If you ever wanted to penetration test any software, this would be the model to do it with. And with every new incremental increase and improvement in this model, it unlocks new exploits that we can actually find. So Nick Carter has this amazing take that I love. I'm just going to read it word for word because it's exactly how I was feeling. And he says, within a year, when people tell their AI agent to go make money, the AI will interpret that as go and steal crypto by fishing or exploits. We're going to have to take OPSEC and smart contract security a lot more seriously. on a go-forward basis. And that's true. It's like you get into the alignment question where,

like, is this AI good or is this AI trying to answer, solve your request? And if your request is, go make me some money. Well, it'll just go hack from someone else's because a lot of these systems are not secured against the most cutting edge AI just yet. So it unlocks this new, interesting paradigm that I find is uniquely for Anthropic in the case because they are just the best at coding. And code is what secures all of our financial assets today. So interesting thought experiment. Yeah. And the fact of the matter is like, you know, this, the coding frontier model is an incredibly valuable thing to have. And the numbers don't like, Josh. So if you remember, in January of this year, Dario Amode, the CEO and founder projected that they would probably reach around one billion

dollars worth of AR. That's currently what that was what the revenue they were earning at the time. He went on stage yesterday and announced convincingly that they are on track for $10 billion of annual recurring revenue at the end of this year. That is a 10x. That is insane. And so it's going really well. He's on track to hit that 70 billion projected goal ARR in 2028, which we spoke about on a few episodes ago, which will make them the first profitable major AI lab at 2028 beating OpenAI, who's projected to get there in 2031, 2022. So all things are in favor of Anthropic

to kind of like do something pretty dramatic such as a IPO, maybe. Rumors broke. Maybe, well, maybe convincingly from an insider. News broke that Anthropic has engaged a firm to start prepping them for an IPO in 2026. Of course, there hasn't been any official confirmations yet, but the regulations and the docs do not lie.

It also says that Dario is in the kind of midst of closing a massive round, which would value Anthropic at $300 to $350 billion, which will place them up there with Open AI, who's currently valued at $500 billion. And with Open AI going into Code Red, with Anthropic entering Red team and this new frontier model, maybe they might be even worth the same amount, if not more. So that's just a very interesting kind of like run for Anthropic in general.

I saw this tweet. I want to mention it very quickly that states that Anthropic might even value the IPO at 300 to 350, which would mean that they don't make any money on it. And the argument for that would be they've already raised so much money that they don't need it. And it is more beneficial for investors to purchase or buy Anthropic stock in the future. I don't know. This is all hearsay, but it's something interesting to kind of check out. And the final thing I want to make a point of is these IPO valuations, Josh, are getting

absolutely insane. I have this really fun anecdote where a Chinese AI company, which is meant to trying to compete with Ambidia, IPOed on the Chinese stock exchange this week. And Josh, it IPOed for 4,000 times oversubscribed, which placed it at a $4.5 trillion market cap, beating Nvidia's market cap. Now, that was for a brief moment. It is now regulated down. but it just shows the insatiable appetite and demand for AI stuff right now. Yeah, the $4.5 trillion number, it's outrageous. It's not the only company with the valuation close to that high that we're going to talk about this week. We have updates from Amazon.

Amazon's been moving kind of slow out of all the MAG7 companies. They are the one showing the least amount of growth this year. So it's fitting that their time is coming, if not already here, EJES. And you have some updates for us about what they actually announced this week at their AWS event. So can you walk us through where does Amazon? stand, why are they losing? And why is that hopefully not indicative of the future growth that they're going to see from this AI advancements? You can see I'm rubbing my hands, Josh. For those of you are listening, I'm rubbing my hands. The reason why is I've been purchasing Amazon stock

recently. Right before we've recorded actually, you guys were saying I'm DCAing in right now. Oh yeah. Oh yeah. And it's because I have an Amazon thesis, which is it is a sleeper AI stock hit. and this set of releases, this slew of AI releases that AWS launched this week is proof of that. So I'm going to quickly run you through it. They released a new AI chip or AI GPU, which competes directly with Nvidia's GPUs and Google's TPUs. And it's cool for a few different reasons.

Number one, it's four and a half times more performance than the previous Trinium chip that they launched. This is Trinium 3. I'm talking about Trinium 2. it is 4x more cost efficient, so it's cheaper. And it also has higher memory bandwidth, which makes it just all around, like a really good infrastructure product to use

for people to train their models. So that's super cool. And I think it kind of competes directly with Nvidia in the sense that it can get you about 80% as good as Nvidia GPUs, but 50% cheaper. So for anyone that's kind of like running on Nvidia GPUs and they're like spending billions of dollars, they could slash that bill by half, which is really cool.

The other really cool thing that they released is something called Nova Forge. In a single sentence, it allows any enterprise to train their own AI model using their own company data. The reason why that's cool is, imagine, like, chat GBT is good, right? But imagine if you had chat GBT for your own company. Imagine how productive you'd be. Imagine how productive each of your employees would be. That's a really unique thing. And it just tells me that, like, Amazon is going down the end.

enterprise routes, similar to the company that they have a 19% stake in Anthropic, right? So I kind of see the alignment here. And the third point is around these three agents that they released, which basically helps them automate a bunch of things using AI. The way I think about it is Amazon's kind of like the automation AI giant. And I think they're going to do really well, Josh. Yeah, Amazon, I mean, we could lay out a bit of a brief bullcase here because I'm super excited about Amazon too. I was looking at the Mag 7 leaders. Who in the Mag 7 moves the most amount of atoms? Because when you apply this AI leverage to these companies, the ones that move the most amount of atoms stand to benefit the most. And we have Tesla, we have Apple, we have Microsoft, we have Google.

But Amazon moves the most amount of physical stuff in the world by a large margin. I think they're estimated, what is it, is 6 to 7 billion orders per year containing 12 to 15,000 to 5.5.5.5.000 billion items shipped in 8 to 10 billion packages globally. So in the U.S. alone, that's like 6.3 billion parcels in 2024. They're on track for 8.4 billion in 2020. It's a huge amount of stuff just moving around. And when you apply automation to that stuff, you can cut your cost and increase your margin at such a significant rate that Amazon stands to benefit hugely from this automation. And we're seeing this with the things that they announced this week, in terms of like building their own vertically integrated AI systems.

We have some interesting takes on chips that they're making. So to me, Amazon is just like poised to explode just because the sheer amount of volume that they move throughout the physical world. That's such a good point, Josh. Did you see the news that got released this morning about the USPS stuff? No. What was that? Okay, so get this. Amazon currently pays USBS six to seven billion dollars a year.

for them to ship packages for them, right? Because they don't want to, like, they can't claim everything because, like, you know, you can use the existing postal network. They announced plans, they being Amazon, that they're going to create

their own postal service equivalent this morning, which will basically wipe out the $6 to $7 billion. So no other company can do this to the scale that Amazon is doing it. It's just insane. The other thing I wanted to address

because I know you listeners, I've read all your comments, I know exactly the criticism, me you're about to give to this segment is, oh, but Nvidia's still good because everyone is using their software, CUDA, Amazon has a special source in response to that, which is with their new tranium chip, they have software that you can just simply port from invidias to Amazon's, which makes the switching costs not just a hardware consideration, but an easy software consideration as well. Now it becomes really easy if you're running a Nvidia GPU cluster on

AWS to hop onto Amazon. So it's actually a really smart strategy. And I'm pretty, I'm bullish, Josh, can you tell? Yeah, I can. The switching costs being, being as close to zero as possible, is huge, right? Because as much, I'd say what Kuda is to Nvidia, memory is to open AI, where it is a very strong mode. And if you can, it's basically saying we can make your memory portable in a commercial way. And that's a huge unlock for anyone who is interested in using these AWS chips. Now, when they make it, I don't know. There are some problems in the world of computers, particularly around RAM. Right now, if you have ever built a computer before, you know about RAM. Ram is the very lightning fast memory that holds temporary memory, but it's very fast. And it's required for training AI data

centers so much so that there has become this egregious shortage of RAM. And for people who haven't lived through the previous GPU cycle, there's this huge problem where you couldn't buy an Nvidia GPU because they were being used for crypto miners. And if you're a hobbyist at home, now you can't buy RAM for your computer because, well, the prices have tripled in the last 12 months. And this comes on the back of an announcement from a company that makes the crucial RAM. They just stop making it for commercial purposes. They're using it only for institutional entities, for private entities who are building AI. So now one of the three major manufacturers of this RAM is stepping away.

If you are building a computer, I am sorry. It is about to get a lot more expensive. if you are building an AI data center, well, it's also expensive, but now you at least have one of these three major suppliers explicitly making stuff just for you. So just something to note that there are these supply chain crises happening. This most recent one is in RAM. Previously it was GPUs. I guess it's still GPUs. But as we go along, it's going to be interesting to see where these kind of bottlenecks form. And just in terms of bubble watch, we just want to see where everything's landing. This is the RAM segment. Here is where it is. It is getting very high, very quickly. One of

the company's bowed out. And that's just kind of like the nerdy, hobbyist, enthusiast, like, state of the union for it. Sorry, I can't let you get off the hook that easy. You sent me this website and it looks intense. What am I looking at? I can't believe you've never used PC Part Picker. If anyone has ever built a custom PC before, there's a lot of compatibility issues between parts, because sometimes a specific manufacturer's piece does not work with another manufacturer's piece. So what PC Part Picker does is it allows you to place all of these pieces into one place and it'll tell you which is compatible with which. It also does a great job of tracking prices of these items.

And what we're seeing here in these charts that are all going up into the right is the price for the average person to get their hands on a critical piece of compute hardware, which is the RAM. And there's another nerdy joke she made here where now developers are going to have to actually optimize their websites because a lot of the times these big clunky websites and the big clunky code, it all gets stored in your RAM because they just throw it in. There's no budget. Well, maybe if there's a budget, they'll start making more efficient code. But that's kind of a deep cut.

I don't want to spend too much more time on here. We have other interesting things to talk about. Mostly in the world of Apple. There is a big switchup this week in Apple World. Please, EJAS, tell us what happened. Well, I want you to tell me about this, Josh. This is your favorite company ever Apple. And they just lost their chief of AI.

John is leaving, and he's being replaced by this guy called Amar from Microsoft. And is joining to lead AI under Craig. Fedorini. Can you give me the law of this? Is this kind of bearish but eventually bullish, or should I just be bearish? I don't really, I don't know these guys. It's like, I mean, Apple AI sucks. So whoever's in charge of it, like, sure, get rid of them. Whoever tried, they failed, clearly. Because, like, I still don't have Syria enabled and they're now hopefully going to outsource the Gemini. I think this is probably a good thing. If you're in charge of AI at Apple, you probably should be fired. I find it funny how everyone kind of reports to

Craig Frederigi. So everyone comes in and out, but Craig is always that guy. He's always sitting there. He never takes the blame. He never takes the fall. I'd be curious to know how much of this is his responsibility versus people who are beneath him. But yeah, it's funny actually. The first comment says under Craig Federigi, that's the problem right there. So I don't know where to stand on this. I know that Apple's AI sucks. I hope this new guy, I mean, Godspeed, brother, Amar, whatever you're doing, I wish you all the best. I hope you could figure it out. out. That's kind of what I got for this. They also lost another guy as well, right?

I was going to say, this is the more interesting conversation of the week, to me at least, I think, which is this guy who was previously in charge of a lot of things at Apple. His name is Alan Dye, and he's responsible for this whole slew of things. He was working on packaging. Then he helped with the iOS 7 redesign. He created the Dynamic Island. He led the UI for Vision Pro. He helped with the Vision Pro launch. He did liquid glass. He did all of the human interface spatial computing things. And he just, one of the things that we'd love and one of the things that I'm personally excited about in the future is to switch to spatial computing.

And this guy did a great job. Like Vision OS looks great. Liquid Glass. We've had our debates on the show. I think it looks pretty good. This is the guy kind of behind and in charge of all of that stuff. And Meta poached him for a presumably ton of money. Meta said, hey, we'll pay you whatever you want.

Come over here. Do it for our products. That's presumably going to be for the Meta Rayban display. that we had a few episodes on earlier on. And it made me a little bummed because this guy actually did do a great job on these Apple products. And now he's going to be going to develop

for meta, who makes really crappy hardware products in really siloed software suites. So to have a little bit of sweet. Zuck is really on a rampage, isn't he? To just kind of hire the talent from everywhere. But like, will he actually prove it? Like, listen, he spent, what, $25 billion in hiring like 100 people?

Less than 100 people, actually. 35 to 40 people. And I haven't seen the fruits of that labor. So, like, is he going to do the same thing with design and his glasses? Probably not. It was an absolute shambles of a launch. So we'll see. Josh, do you know anything about the guy that's replacing this Apple design guy, Steve LeMay?

New guy. No, other than the fact that he's been around for a very long time. And apparently has been here since 1999. He helped ship the original iPhone, Mac OS, iOS, iPad OS, watchOS, and most recently VisionOS. So somebody who was around during the Steve Jobs Johnny Ive era seems bullish. That's about all of the context clues that I have. But hey, again, I wish you the best. I hope you could help Apple figure it out.

They have a lot of figuring out to do. And that's just we're going to take it from there. But there is another interesting topic that I want to cover here, some science corner stuff, which is pretty cool. We found sugars in outer space essential to life. This is kind of cool. was found on some asteroid that was in deep space, and it is one of the first times that we actually discovered some sort of building blocks for life that came from outside of our galaxy.

So I wanted to just briefly mention this because it creates this interesting conversation around the Fermi paradox. For people who don't know the Fermi paradox, it's the apparent contradiction between the high probability that intelligent life should exist elsewhere in the universe and the total lack of evidence that it actually does. So from a Fermi paradox perspective, this is great and terrible news. Terrible as the paradox is stronger than ever. But great because whatever filter causes the paradox is more likely to be early in our

evolutionary history rather than in the future. You can at least make the case that this life was kind of randomly placed and there is a high probability that it can be placed randomly elsewhere because there are the basic building blocks coming from all these external places. What do you think? Okay. So how do you feel about this? Listen, I, my pastime in a very, very long ago life was a biologist. That's what I kind of like studied at university. And all I could help but think when I learned about all these different amino acids, building blocks, DNA, blah, it's like there is so much chance in this that it is almost certain that there exists another universe where there are other sorts of life forms. Because all the building blocks are just

out there, right? So why should we be the only favored ones? Josh, I pulled up the the sugar futures chart, and I have to say, I have to say, no one seems to be reacting as violently as I had expected here. Listen, I'm a market smart.

I'm invested in this stuff. I want to see how I can make returns on this. And I don't know, maybe there's a delay in this information, Josh. Maybe I should be shorting the sugar stocks as much as I can. before they kind of catch on. That's so funny.

You're the type of guy where a meteor will hit Earth and it will be made of solid gold. The first thing you will do is hop on your computer and figure out how do I short gold? Forget about my bug out bag. Forget about how do I short gold? We just got hit by tons of it on Earth.

That is so funny. Well, it's just an interesting thing. It's like, it makes you think. It's like, okay, we found a critical building block for life that came from another universe, yada, yada, whatever, that science corner. We have something important to celebrate as we wrap up this episode.

which is our Spotify wrapped, which just came out. And we have some really amazing stats and some really gracious thank you to hand out to everybody. Because, wow, I think I share this thought in the fact that we are both blown away by the support that we've had over the past year. And these statistics that we're showing on screen are like pretty outrageous, you just, right? Like top 1% across the board? Top 1% across every single category. So that is a 2025 instant hit show, 2025 most shared show. that's you guys listen to this right now watching this right now thank you for sharing it with all your

friends it turns out you guys are listening someone's listening to us josh which is great i wonder for the aliens i i also do want to point out that our show has only been going for six months so we got like half a year delayed on the on the head start for this and we still managed to pull the top one percent no easy feat josh but the one i'm probably most proud of right now is we are ranked as one of the top technology podcasts in the world, ranking it 21, Josh. I can't, I'm not looking at your face right now because I'm staring at the camera,

but I know part of you is seething because you want that top 10 spot. And so do I. So we are going to be gutting for this. What a crazy start. Seathing but grateful. Like, man, all the people who are listening here, normally it's the real ones that make it to the end of the episode.

So if you're watching still, chances are you're one of the real ones that made this possible. So thank you. From like the bottom of the heart seriously. like the support and the sharing with your friends and the liking and the subscribing and the rating like it really makes a meaningful difference and we're seeing that support reflected in the numbers for the first time ever really through the Spotify wrapped and it is so so awesome like it really

it's it's one thing to see the numbers on the screen but it's a second to actually see the impact that it has through all of the comments through everyone sharing through just like the nice messages we receive on a daily basis so seriously like thank you so much for the support I think based on this, we can give limitless Rookie of the Year podcast award because like, man, I think so. That was a, it's a pretty crazy run. It's a really crazy one. We've published 93 episodes. This is number 94 that will be coming out in a six-month span. And if you've listened from number one or if you listen from number 92, thank you. I hope that you have found value in this show. I hope that you will continue to find value in this show. The frontier is like expanding faster than ever. It has never been more exciting to be right on the blue. leading edge of it. And that's exactly where their show lies. So we're going to keep doing more of this.

I hope you still continue to find it exciting, exhilarating. We're going to keep working to get better. Hopefully you can keep working to share this with every single person you know who could be remotely interested in this. And we'll just continue chugging along. Yeah, so who knows, maybe by next year Spotify wrapped, we can

trim a two from the front of that 21 and just leave it at number one. Oh, that's good. I like that. And the final thing I'll say is We don't just do podcasts, Josh. We also do newsletters. And I know you guys are reading a bunch of newsletters, but if you'd read our newsletter about a month ago,

you would have bought Google stock and you would have been up about 15 to 30% on the stock right now, which is nuts. So I have a thesis. We have a thesis coming out on Amazon next week. So if you want to read that and be notified about that, subscribe to the newsletter. That is all from my end, Josh.

That's it. Yeah, and that's alpha. A few weeks. ago, or even a month ago now, he just posted the Google Ball thesis. And since then, the stock is up quite a bit. So there are some good alpha in these newsletters. I would highly advise you to subscribe. The link is in the description below. But as always, thank you. Seriously, thank you for a great year. We're going to keep on going. The year's not over. It's still early December. We've got a lot more to talk about. So we will be back next week. Have an amazing weekend. And we will see you guys then.

Thank you.