Episode Transcript
[00:00:00] Foreign.
[00:00:05] Welcome to ChatGPT Curious, a podcast for people who are, well, curious about ChatGPT. I'm, um, your host, Dr. Shantae Cofield, also known as the Maestro, and I created this show to explore what ChatGPT actually is really, though, are the files in the computer, how to use it, and what it might mean for how we think, work, create, and move through life. Whether you're skeptical, intrigued, or already experimenting, you're in the right place. All that I ask is that you stay curious. All right, let's get into it.
[00:00:38] Hello, hello, hello, my curious people, and welcome m to episode 17 of Chat GPT Curious. I'm, um, your grateful host, the Maestro, and today we're talking about whether or not Chad GPT will get Old Navy. Now, that is a super, I'm going to say niche episode title, but it will make sense what m. Once we get into the full episode. Uh, and I'm honestly, I'm just, I'm. I'm super stoked to chat about this. I did what I'm gonna call big learning, Big learning and big dot connecting, uh, for this. That almost sounds like I was cursing big dot connecting. I was like saying big connecting. No, big learning and big connecting of the dots for this episode. And it's extra cool to me because it brings in the business, you know, and marketing strategy, positioning side of things, which is, you know, another thing that I'm, that I'm interested in. And if you listen to my other podcast, my show on the mic, you get that side of things. So Imma say it's, uh, since we're talking about business, greed ain't it. Extractive capitalism ain't fucking it. Capitalism doesn't work. I said it. It objectively does not work. That's why every so often, bailouts are needed. Doesn't fucking work.
[00:01:44] But that is, uh, a rant for another day.
[00:01:50] Coming back to this topic, today's topic, this concept of chatgpt getting old, navied, and whether or not that could actually happen, that has to do with market position. And that is why we are diving into it, uh, and what we are diving into today. So in full transparency, this episode is largely my interpretation and extrapolation of a recent Prof. G Markets episode that I absolutely loved. Shout out to my girl Pam. She put me onto that podcast and I fucking love it. Scott Galloway has like a bunch of podcasts. Apparently it was like, very weird to be like, what am I subscribing to, uh, to find? Just, all I like is one that he does with Ed Is his name Ed Elson or something like that?
[00:02:30] Um, but I love it. I, and they're so prolific with content creation. I, I watch it, I don't really listen to it. I, I watch it, um, on the YouTube because I'm old and I watch it while, while I'm downstairs lifting. But I love it. But, um, the, the episode I'm talking about is called, titled How China's AI Efficiency could Gut the US Economy. Very inflammatory, slightly inflammatory title, but very good episode. I will link it in the show notes. Um, don't forget folks, I also have an entire page on my ChatGPT curious website that is entirely devoted to the helpful, at least in my opinion, helpful that I read and that I watch. It's called Curious Finds. I will link that page as well. It literally has like a full ass, long ass list on there of things. I have to figure out how to make it searchable because it is embedded. It's like a whole, a whole thing that I put together. It's not actually like it doesn't actually live on the website. This is, this is neither here nor there. Either way, the page is dope. Go check it out. Um, but one thing that I do want to note as well before we jump in as it relates to all of this is that I named this podcast ChatGPT Curious for two reasons.
[00:03:39] Number one, I went with ChatGPT because that's the household name and it's what people will be searching. You know, I, I don't limit myself to just talking about ChatGPT. I talk about AI in general. I don't talk necessarily about the other LLMs because I don't use them, at least not yet.
[00:03:52] Um, like I don't use Claude. Um, um. But I don't exclude it from, you know, what I may use at some point and talk about. But I titled it ChatGPT because I know that when folks go to search for things, they're going to type in ChatGPT. It's the household name, it's first to market, it's the biggest player. So that's why I chose that side of things.
[00:04:11] Number two, the second reason is the word curious. And to me it's at the heart of like all good things. And I want to learn as, uh, I'm saying that I'm like, but it killed the cat. So it's not, that's not a good thing. But either way I want to learn and ask questions. To me, it's not about being bullish about or Bullying bullish on ChatGPT it's not like you have to use. It's gonna be the best, and it's always gonna work. And like, I love it so much. You all know this.
[00:04:36] I just have a curiosity about it. And to that end, being curious can lead to being against it. And I'm not mad about that. Right. Uh, to me, I said before, the folks who understand things the best are probably the ones who are the most well positioned to be critical of it. Because you're like, I understand it, I use it, I'm in it. It affects me. All right? I have things, something to say about it. And that is, you know, what you may gather from this, this episode, uh, and whether or not Chat GPT will get Old Navy. So what the am I talking about when I say that? All right, Will Chat GPT get Old Navy? What does that mean? So in the YouTube, the podcast episode that I linked earlier, one of the hosts may not. Scott Galloway. He tells a story from early in his career, uh, when his strategy firm, side Note, he was 26 and his first client with the strategy firm was the Gap. And I was like, are, ah, we gonna talk about that? Like, what. Who the are you? What? What? But either way, early in his career strategy firm that he. That he owned had. They were working with the Gap. And after doing market research, they learned that there was a rapidly growing demographic at the time, which was single mothers and moms being the superheroes that moms are. God bless you if you're a mom.
[00:05:45] They wanted their kids to be able to dress in a way that made them feel good about themselves, despite the fact that these single moms, and single moms in general are, on average, don't have as much money.
[00:05:55] So they positioned old Navy as 80% of the gap for 50% of the price. And that shit took Old Navy to a billion dollars faster than any other retailer in history.
[00:06:10] Mom women be making the world go round.
[00:06:14] But as original business side of it, which is what I'm, I'm focusing on for this episode, we see the same formula with companies like, um, Southwest. Right. Although they do be up with that bag change policy. I don't even fly Southwest. I don't like it. But, uh, it's true. We see kind of you get. You get them 80% of the experience and the quality, whatever, 90, because you're not crashing, right? You're just not quite as nice as other as other airlines. But it costs less.
[00:06:41] Uh, same same for Ikea. All right, so the question for this episode is, will someone come in and do to ChatGPT, aka OpenAI. What Old Navy did to Gap, worth noting, my friends, and maybe you already know this.
[00:06:55] The same company owns both the Gap and Old Navy. All right, Same company. Um, we're going to come back to that point later. So, in the podcast episode, Scott argues, uh, that China is positioned to do this, right? China is positioned to Old Navy, chat GPT to Old. To Old Navy, AI in general, US, USAI, I'm going to put all together.
[00:07:18] ChatGPT is huge and expensive, and it's only getting bigger. Meanwhile, China is building these leaner, cheaper, and more efficient models. The main players, if you like, dive into this or you're just listening to it at all, um, are going to be Alibaba's LLM, which is Quen, and Deep Seeks model, which is. Which is called Deep Seq. Same name. Um, and yes, Alibaba, that is the same online shopping company that you may have heard of. Basically, they realized that commerce required massive cloud infrastructure, so they built Alibaba Cloud and the rest is history.
[00:07:50] But worth noting. I cannot speak to how, quote, unquote, good these models are, right? Especially from an average user perspective. Benchmarks mean nothing to me. So even if they put them out, I'd be like, I don't. I don't really fucking understand how does that relate to me. But because, um, I don't use them, right? But per the podcast episode, uh, Scott's podcast episode, which I do, you know, put a fair amount of weight behind it, uh, just because things are vetted and the. They have, like, a whole, you know, research crew and editors and such. But, you know, so, yes, I know things would be wrong. But either way, from that episode. As for that episode, Alibaba's Quinn cut GPU usage by 82%. That's insane. By 82%. Deep Seeks models cost 10 times less per million tokens compared to GPT5. That's insanity.
[00:08:36] Just. And we know this. When DeepSeek first hit the M, hit the market, um, that was really. The tidal wave that it came with was like, this is cheaper and smaller. Like, look at it.
[00:08:47] And it's doing the same thing, supposedly.
[00:08:50] So suddenly, we're looking at 80 to 90% of the quality for 10% of the cost. Hello, Old Navy.
[00:08:55] Again, I cannot personally speak to the quality. I don't use it. But I do have a good friend shout out to you, Mads, whose fiance is in AI, and he said that it's nuanced and they're pretty, but still don't come close to the Commercial model. So I very much value what he has to say. I will add my own two pennies in that we know that it's just a matter of time until they're as good, if not better. Especially with all the fuckery that's going on with our goddamn fucking government, right? We kicking our immigrants out. Those are the people that are making this shit, let's be honest about it. So it is just a matter of time until, you know, these models are as good, if not better, right? Communism and authoritarianism are not great for individual rights and liberties, but they are great for getting shit done, as, uh, is evidenced by China's ev progress. So before I give you my two pennies on, um, what I think could happen, right?
[00:09:55] Taking all this into consideration, I. I want to run through a mental model that Scott introduced in the episode that is, in my opinion, a phenomenal way conceptualizing economics. He credits a, uh, man named Bruce. Bruce Buchanan.
[00:10:12] I wonder. No, no relation to, um. That's different. I'm going to say it, actually. Uh, do. Do we remember Baywatch? No. Okay. Uh, he credits Bruce Buchanan, and he is a Stern School of Business economist. And, um, he credits him with teaching him. Teaching him this. So the model is three lines. Picture this in your head, my friend.
[00:10:31] Three lines. They're stacked on top of each other.
[00:10:34] The top line is perceived value.
[00:10:37] The middle line is price, and the bottom line is cost. Okay? So top line is perceived value, Middle line is price. Bottom line is cost.
[00:10:49] Companies can make money by doing one of two things. They can push the cost line, that's the bottom line, down. In doing this, right, they pass the savings on to the consumer or the customer, which then lowers the middle line, which is the price.
[00:11:06] This creates a gap or a bigger space between the price that you're charging and that top line, which is the perceived value, right? The middle line and the top line, that there's a bigger space in between them now that gets more, ultimately gets more people buying the thing because they're like, holy, this thing has a good perceived value. It costs less. I'm getting a deal, Sign me up, and the company makes more money. This is what China in general does, right? Scott argues that, like, this is their, like, general approach. And they're. They're like, very good at doing this. The other option we have for making money is to push the perceived value line, right? That's the top line up. And this is accomplished through things like branding, you know, merchandising, marketing, advertising strategy, those kinds of things.
[00:11:52] This is what the US does think companies like Apple, right?
[00:11:58] For what it's worth, when I was sitting and listening and talking back and forth chatgpt about this, I internalized and understood this. Like, the goal, if the goal is to make money and we're looking at this model, then the, then one's goal would be to increase the distance between the price, the middle line, and the perceived value, the top line, without things becoming sketchy, right? So if we need something to fall back on, like, how do I understand what's going on? What do I, what am I trying to do? What are companies trying to do? They are trying to increase the distance between the, the middle line price and the top line perceived value without shit becoming sketchy. What does that mean?
[00:12:34] Imagine if a Lamborghini was listed for $5. You'd be like, what that? Right? There's no fucking way in that scenario, you have stretched that, that space too much, right? The, the area, the space between the middle line of price and the top line to perceive value, it's, it's too big, all right? And so suddenly the perceived value, what happens, it plummets.
[00:12:58] People are like, it's got to be a fake. This has to be, I'm gonna get scammed, or this is a lemon, it's broken. Like, there's no way, right? So we want to stretch that space within reason, right? So that people. But not so much that people get sketched out. So this is again, um, what the US does was more so of the push the top line up, not sketch people out, though, also. That is what the US does. But clearly OpenAI is focused on raising the perceived value line. Uh, bigger is better, huge models, huge data centers, insane amounts of compute, funny money with circular deals. It's very much, we're just moving up that top line.
[00:13:39] China, on the other hand, seems to be focusing on lowering the bottom line, which is the cost line. And then ultimately, if they pass those savings on, they could lower that price line and that would subsequently increase the space between that middle line and the top line, right? So, my two pennies friends, what do I think could happen? Notice I didn't say will happen because I don't know what's gonna happen. What do I think could happen? What's the possibility? First off, it's not happening tomorrow. It's just not. This takes time. It's not happening tomorrow.
[00:14:05] Second, it ain't going to be China.
[00:14:08] And, uh, I am not based. I'm not Scott Galloway, I'm not Ed. I don't even know if I can name Elson I'm not. I'm not either of them. I am not nearly as versed or smart in those areas. I'm not. I'm not basing this on any sort of economic or political expertise, but. But rather, I'm looking at what already is, how things already are.
[00:14:28] Right?
[00:14:29] The best way to predict future behavior is looking at past behavior. And we can do that with the Chinese EV market. The Chinese EV market is popping. And you don't have to be a economist to know if you're on Instagram or you're on. On, um, TikTok, and you happen to, like, go into, like, the cars section. You'll see it. It gets served to you. And people go over there and like, yo, look at this car. The Chinese EV market is popping. And there's a company called BYD that stands for build your dream that would do absolute fucking numbers. And in the US Market, but they're not allowed to. They're not allowed to be here. Tariffs.
[00:15:07] U.S. regulations.
[00:15:09] 100% tariffs on Chinese cars.
[00:15:13] 100% tariffs. What?
[00:15:18] And, uh, there are software. Software and data security requirements that the US Imposes that the Chinese automakers. This. They don't meet it. Right? And these things fully exist to present to protect US Automakers and limit Chinese tech influence. That's why it's whack. It's fucking whack. And I can get on my soapbox about people being like, uh, you know, the. The value of. Of competition and we need capitalism.
[00:15:47] M.
[00:15:48] This is. This is not how you encourage competition, by saying you can't play.
[00:15:53] What?
[00:15:54] Oh, uh, what?
[00:15:56] So, no, it's not going to be the Chinese, right? The US Is not going to allow that to happen. We already see it now that they don't allow it to happen. Additionally, OpenAI is simply too powerful, both economically and politically for it to be. For it to let Chinese Old Navy happen. Right?
[00:16:16] The US government, the US media, it is corporate. We know that. And OpenAI is a corporation that has big money and ultimately big pull. It's not allowed to happen. Right? It's not going to be like, oh, yeah, let every competitor come here. It's not going to fucking do that.
[00:16:31] Um, it's not. Additionally. And the point number two, OpenAI's money and the money in AI in US, the United States, you know, AI in general is literally like, propping up or at least very heavily driving the economy very heavily. The government is not just gonna let that fail. It's not. Right. They're not gonna be like, oh, someone else come in and take over. No, but because of that point and the fact that literally AI money is propping up the fucking economy.
[00:17:02] Scott talks about this in the episode as it's a good fucking play by China. If they're able to pull it off, if they really want to cause some damage, that's how you're gonna fucking do it. You, uh, want to cause some disruption, there it is.
[00:17:14] But what could possibly happen in the future? Future. Future would be an inside job. And by inside job, I mean a company inside of the US that builds their own smaller, cheaper, but still 90% as good model. It feels, this whole thing feels very Roger Bannister to me. But for those you don't know, Roger Bannister was the first person to run a sub 4 minute mile. And then within a year, 23 other people had done it.
[00:17:38] To me, it's. We see these small, these smaller models coming out and you know, it's possible.
[00:17:43] Right? One of the things that has kept me bullish on AI in general is that it highlights how smart humans are.
[00:17:50] Like, if you go into like any kind of like the coder side of social media or anything like that, or if you just listen to these episodes and you see the math that isn't required to create this, like, holy. Someone. Someone thought of this. Are you kidding me? Humans are so smart and they're fucking smart all over. I will say we need everybody, right? We need immigrants. We need everybody.
[00:18:14] But what, what I think could happen is it won't be China, but the reality that these m. Cheaper, faster. I don't say faster, cheaper, smaller models are possible. We see that it's possible. And then someone else copies that and does that, rolls that out. But in, in the U.S. i, um. Do they get gobbled up by these big, you know, behemoth companies? Maybe? Especially if they're like, oh, the price is right. I don't fucking know. But I think. Is there worth noting, circling back to what I said earlier, um, or what I mentioned earlier, is the fact that Gap and Old Navy are owned by the same parent company, Gap Inc.
[00:18:54] Gap has, has three companies that were. Gap Inc. It has a Banana Republic, Gap and Old Navy. Like these three tiers, right? Banana Republic between the most expensive Gap in that middle tier and then Old Navy as the lowest tier.
[00:19:07] Gap made. Gap Inc. Made Old Navy to, in order to compete with Walmart and these lower priced, um, real realtors. Not Realtors, uh, retailers. Wow. Can't speak retailers.
[00:19:19] Old Navy ultimately made Gap irrelevant. It trained people to expect basically, quote, unquote, the same thing, but for a lower price.
[00:19:31] And we know this. We talk about business and marketing. It's like that middle option there. We want to be at the, um. You know, I don't want to be polarized, polarizing, but it's better to be polarized, right? When you're one side or the other, you have these three options and it's like, how different are they? How different is this third, you know, middle option? And that's exactly what happened with Gap. It's just like, oh, uh, it is not different enough from Old Navy. And it's way more money or, you know, relatively speaking, more money. So people are like, well, I'm not gonna buy it.
[00:19:59] Uh, and so it basically made Gap irrelevant.
[00:20:05] All that to say, I don't think that it will be open AI that builds the Old Navy. Um, and like I was kind of alluding to earlier, like, if another company comes in, builds on, builds it lives, that is inside the United States.
[00:20:18] Would open AI, gobble it up. I think that if they did, they would close it down, gobble it up, and then shut it the down. They. I don't think they would. You know, I don't think they're going to Old Navy themselves. For any of you smart cookies out there listening and thinking that perhaps open AI's other models, right? They have. Because you can still go to the legacy models and go to chatgpt4.40, uh, or 4 mini. For any of you thinking that, well, doesn't that fill the space because in theory they use less energy. No, doesn't fill the space because that would be more like Gap and Gap Outlet, right? It's not a whole brand new thing that is designed with this in mind, specifically with this infrastructure, right? What I am talking about with Old Navying, something is create. Is creation through intentional design, not creation as a byproduct of, um, obsolescence, right? Like where it's like, here's some old shit. It costs less. Use it. Right? That. That's not it. So something that's worth thinking about and clearly I'm excited about this episode. I like thinking about this stuff. I know it's all in theory, but it's fun for me. So something that's worth thinking about is what would actually drive a switch to a different model, right? Namely by the average. The average consumer, you and me. Realistically, it would make more sense for companies to switch first because they're using it at scale. But, you know, there's red tape and subsidies and kickbacks and shit. I don't know about.
[00:21:36] So I'm just going to. About the switch as it relates to you and me, the average user, right? What would cause us to switch to one of these cheaper models if they were as good, right? Uh, they existed and they were as good. And we already know. You listen, you're listening to this and you're saying it cheaper, right? A, uh, significant price increase. That's why we would switch.
[00:21:54] So circling back to Scott's three line model or Bruce's, whoever the it was, right? Circling back to the three line model, that middle line price, if that goes up, all right, and that's going to go up as a product of the bottom line cost going up. And we know these shits are fucking expensive and OpenAI isn't making any money. So the cost is going up. That means the price has to go up. But that top line, perceived value, that stays where it is. Nothing's changing. That is not good. That is not good. Remember we said if the goal is to make money, have more customers, then you want to increase the distance between the top line and the middle line, not shrink it.
[00:22:32] So right now, as it stands, 20amonth, OpenAI is sitting pretty. And that gap between perceived value and price, right, the top line and the middle line is pretty huge. You're like, wow, I get all this for $20. Fucking amazing. I'm my own robot for 20 bucks.
[00:22:47] I cannot say what number the price would need to go up to for folks to be like, no way, this ain't worth it. Although we know people right now don't think it's worth it. Most people are using the free tier, but I can't say what it would need to go up to. Um, but I can say with full certainty that that $200 per month price tag for Pro, that's too rich for my blood. I'm not valuing that thing so I know the number exists. What it actually ends up being, I can't say.
[00:23:13] So that is one thing that could happen that would prompt a switch, right? A significant price increase. The other thing that could happen that would prompt a switch would be the top line or the perceived perceived value drops.
[00:23:26] And we can think of this as the Netflix effect, right? The novelty wears off, particularly as other players enter the market. That's really huge, right? You gotta have. Other people are doing the same thing. So, you know, Claude is there as well. Um, and obviously there's Gemini, but they got to be proven to be as good.
[00:23:42] So the novelty wears off. Other players have entered the market and the quality of it of the quality of the output feels stagnant or even worse, it decreases.
[00:23:53] So with Netflix, this makes sense, right?
[00:23:55] If the movies stay the same and you've seen them all, then you're like, this is not good. I need some fucking new shit. Right? So we get novelty wearing off because we had Hulu came on and Peacock and all these other things. And it's like, hey, you don't even give me any new movies or movies that I want.
[00:24:09] Not good.
[00:24:11] I do think that keeping things the same for a quality product can be okay for a very long time, as long as the price doesn't go up. So that's one of the issues with Netflix. There's a bunch of that stuff's on there that you're like, oh, whatever, I'll put it on in the background. It's fine. But the price goes up. And then they're like, oh, and also, we're gonna add. We're gonna add, uh, ads. We're gonna add commercials. And you're like, wait, what? Before, it started off as whatever, $6, $9, and no late fees. Remember? Actually, we used to get the DVD sent. And then there's none of that. It was just right on the tv. There's no Leafies, obviously. It's amazing. Super novel, right? And you're willing to stay at this. You don't have to change the. Give me more movies. Like, just keep it here. This is great. But they don't add new movies. They take movies away, and then they're raising the price and you're like. And adding commercials.
[00:25:04] What?
[00:25:06] So the flip side is what I just said is keeping things the same for a quality product can absolutely be okay for a very, very, very long time, as long as the price isn't going up. And the best example of this is there. I, uh, couldn't roll. I couldn't roll.
[00:25:24] Is Costco.
[00:25:26] Who doesn't love Costco, right? Keeping the prices fixed, the margins are low, and the value, along with their values.
[00:25:34] Yeah, both are obvious.
[00:25:37] I'm a customer for life. I just went there yesterday to get food for the food pantry. We go there at least once a month for our own food.
[00:25:46] This is like I said earlier, I know that this episode got me excited because it brings together the other side of things that I do in this business side. And to me, it highlights that there is a better way to run a business. And if we're going about it from this extractive capitalism model and infinite growth and increasing, forever increasing shareholder value, that ain't it.
[00:26:09] It's not it. And then we can see why people leave and why people stop using the things. It's very clear. Right? The writing is on the wall.
[00:26:16] So, to summarize all of this, do I think that Chat GPT will get old Navied? I think it's possible, but it's not happening. Any tune. Any tune. Wow. Anytime soon. And I definitely don't see China as the one to do it. Do I hope it will happen?
[00:26:33] Absolutely. Absolutely. Um, we don't need this to be this big. Why are we out here chasing AGI?
[00:26:41] We are blowing past any kind of stops and any kind of safety measures and parameters. Not the parameters you're thinking about, but any kind of safety parameters in the name of being the first to get to AGI. So what, we can replace everybody? This is. What are we doing? I absolutely hope that they get Old Navy.
[00:26:59] Um, the, the hopeful and the optimistic side of me is most interested in this, primarily because it does also feel like a way to future proof myself and my ability to use AI. Like, on the flip side, if AI was to go away altogether, that's also fine. If social media went away together altogether, it's fine. Like, we are at a point where, like, we should start all over again. Like, pump the brakes, start all over again, that's fine. But that ain't happening. Right? It's not going anywhere.
[00:27:26] I do. With that in mind, I do have concerns about companies like OpenAI having so much control over everything, and it is comforting to me to think that an Old Navy is a possibility.
[00:27:40] Okay, last thing before we wrap it up. How I use ChatGPT this week. Each episode I include a section where I briefly discuss how I use ChatGPT that week. This week I use Chat GB to help me with this episode.
[00:27:53] I really enjoy using Chat GPT to, to deepen my understanding of things, um, especially by, by asking it questions and engaging in discussion with it. So, ah, I listened to that Scott Galloway episode earlier in the week and I knew immediately I was like, I want to use this as the foundation for this week's or for this episode.
[00:28:11] Uh, but I wanted to make sure that I really understood it. Well.
[00:28:15] Um, I can't just like, read things or pirate things. I'm like, I gotta understand this. So I went to YouTube and I copied the transcript for the episode and then I pasted that into chatgpt and I had a discussion with it about the topics that were presented in the episode.
[00:28:28] Uh, from there I made the outline for the episode and here we are. Here I am Yapping, talking your ear off. So, yes, you can paste massive, uh, amounts of text in the ChatGPT whole ass transcript. Um, and yes, you can also get transcripts from YouTube videos right there on YouTube. I don't know if that's a function of. I have YouTube premiums or I don't know if that's a function of that, but either way, it's right on the sidebar. There's, uh. So I just copied that and here we are. All right, all right. Gonna wrap it up there. This was a super, super fun episode to put together and hopefully you found it helpful. Uh, if you did, consider sharing it on social media and tagging me in your stories at the Movement Maestro. You can also tag the podcast at ChatGPT. Curious podcast. That's a long one though, so you can just go with it at the Movement Maestro, whatever you want. Um, but if you ain't about that social media life, that's fine, totally fine. Uh, maybe just consider leaving a rating. Or don't. You can. You're adults. I am grateful for whatever you give me. And you've given me your energy and your attention and you spent all this time, almost, look at the clock here, 30 minutes listening to me. Don't forget I also have that companion newsletter, the Curious Companion, that, uh, drops every Thursday. That is basically the podcast episode in text format. So if you prefer to read or you just want a written record, join the newsletter fam. You can head to chatgpt curious.com forward/newsletter or check out the link in the show notes. Uh, as always, endlessly, endlessly, one more time, endlessly appreciative for every single one of you. Until we chat again next Thursday, stay curious.
[00:30:08] It.
