This guy cured his dog’s cancer with ChatGPT + 4 other crazy AI stories

20:26Sam Parr:I think it should be for a small amount of people that interest you. Just like saying that we should get everyone to play music. We should get everyone to play sports. We should get everyone to be good at accounting. And so I think that this is a bit... I'm not criticizing these guys because they're saying, for those interested in this, this is the offer. I don't think that this should be the default for all high schools. Or you feel like in general, everybody's got to get on their entrepreneurial grind. I think that's stupid. Not the right message because obviously not everybody needs to get on their entrepreneurial grind.

20:55Yeah, I just don't think that's necessary. What were you saying? I was saying it's too aligned as in you didn't need to make it a million. You could have got, you could have, you know, what's the real thing basically? I would say if you did 100 ,000, this would have been, I mean, that would still be incredibly successful, right? If you can make 100 grand or 150 grand or something like that. But of course, that's not the marketing message that would stick. Like the reason this got onto the show today is because he said a million. So in that sense, it's the absolute right number to choose a, uh, if nothing else, it is a PR offer.

21:30And, um, you know, I don't know how, I don't know what that does to the business if that distorts things long-term, but like in the short term, you get the big benefit of putting something out there that is buzzworthy. It's like when Peter Thiel did the Thiel Fellowship. And I think what he did was, I think he only spent$2 million out of pocket to do the Teal Fellowship, which$2 million is not nothing, but in the world of billionaires giving money for causes, there's plenty of people who write bigger checks than that. So why did the Teal Fellowship get so much notoriety is because he attached it to a very spiky message.

22:05And the spiky message was universities are a bubble and like the housing bubble and other bubbles, it's a bubble because nobody else thinks it's a bubble. You know, that's the only way you get to be a big bubble is when everybody sort of assumes education's great. How could you, you can't criticize education. Housing's great. Everybody should own a home. You can't criticize that. And what he said was not just, I'll give this to people who have good ideas, but I'll pay you to drop out of college. Literally the opposite of, hey kids, stay in school, right? The old message you're supposed to say.

22:37And because it was so spiky, he got tons and tons of notoriety. Because he got tons and tons of notoriety, he attracted the right people because the message got far enough where those like, you know, the Vitalik Buterans of the world, the Dylans of the world who create Figma, they heard the message and were able to apply for the Teal Fellowship and came in and made it happen. And so I think maybe this might be the right approach, like the XPRIZE, where you have to do something novel and noteworthy and almost polarizing in order to make it work. Today's episode is brought to you by HubSpot. Did you know that most businesses only use 20 % of their data?

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23:32Sam Parr:So let me tell you a quick story. So on Friday, I went to Austin Reeves' house for dinner. And we, or he had over these eight young guys. and I posted a link to who they are in Slack. And so if you look this up, so the New York Post just did an article on these guys five days ago and it says, these Gen Z digital moguls are building seven figure companies while lifting weights. So it's basically, I met these guys in Hampton and I met them and I was like, Austin, you gotta meet these guys. This is incredible. So we talked about, that's that guy, Josh. So Josh, we talked about him. He has that company called Street Talk.

24:07Sam Parr:You might know Oliver. Do you know Oliver? He had the company called Tabs. chocolate thing. Now he's doing a... And then that's Seamus. This is like a boy band that you're talking about. Oliver, Seamus, and Josh. And that's Joey. And Joey's cute. Seamus has highlights. And then like, you know, Brandon is dating Rebecca. Like, what's going on here? So listen, it was these eight guys. They were all... The eldest one was Oliver. And he was 25, I believe. And they're all these young guys who share an office. And they all started companies. One of them was this guy named Victor. This guy literally looks like Elon Musk.

24:38Sam Parr:One of them, yeah, he kind of talks like him too. One of them raised$140 million for the company. And anyway, it's these young guys and we had them all at dinner and I was like, I don't want to sound like an old creepy guy, but you guys are so young. Like, can you tell me everything that like 21 year old entrepreneurs are into? Because when I was 21 and I left school to move to San Francisco, I was a freak among freaks. It just seems like you guys are way normal for how successful you are. You might not want to call yourself the freak amongst freaks. It's just generally speaking. as we're talking about eight young men you had over for dinner yeah if we get a little epstein um and so thank god my wife was there and you kind of get away with a lot when she's there but uh they were saying that they're like dude we are like killing it for how young we are the 13 year olds are now coming after us they're like the way that they're like the way that you are talking to us like you're in awe of how young and successful we are we feel that way with 13 and 14 year olds.

25:33Sam Parr:He said, there's so many 13 and 14 year olds that we know who we know who are building stuff that is going to be way better than us. It's just crazy how young these guys are who are building amazing things. I mean, we had Zach, Zach on from Cal AI. He sold his company for tens or a hundred or a hundred billion dollars at the age of 20, I think, uh, 19. Uh, like there's a whole generation of these kids. It's just absolutely amazing. Before it was college. We made up that number, by the way, he didn't tell us a hundred million. Yeah, sorry. Yeah. Those are some of the stuff. But this line, dude, is so funny.

26:05We talk about the problems we're facing. Hiring, scaling, girls. Shamus told us. Your typical 20-year-old dude stuff. Is this the new gym tan laundry? Hiring, scaling girls? Hsg.

26:21Sam Parr:It's just like crazy. Have you noticed how young some successful entrepreneurs are right now? Before it was like, you know, the very, very rare college dropout Zuckerberg style person. And that was like a one in a million. Now it seems way more common. I told you, dude, I feel like the guy who is just a horse-drawn carriage guy. And I've been driving this route for 10 years. And it's a good thing. And I'm standing on the side of the road next to my horse. And then a Tesla Roadster zooms by. And I'm just like, what the hell was that? And that's how I feel when I see, hear, and talk to some of the young, inspiring founders and guys who are doing content, guys who are doing e-com, guys who are doing AI.

27:07Like, there's so much energy, enthusiasm, excitement, and talent that I feel like is unleashed. And, you know, by the way, the reason why to me is, like, pretty obvious. The information is out there, and we're all memetic creatures. So in the same way that like, you know, I'll go to my kid's school function and like half the moms there have like lip filler and Botox and shit like that. And, you know, why? Because that's become normalized and they've seen it everywhere, right? On Instagram and then whether it's, you know, reality TV shows or whatever. It becomes normalized. It becomes, you see it once, twice, three times, four times, five times.

27:44It starts to become a thing that feels normal and accessible to you. Well, like when we were growing up, there was no Twitter, right? So you didn't have, I didn't have access. I never even saw, I didn't even know, like, I don't think until I was maybe 18 years old, did I even know an entrepreneur? Like I actually had met an entrepreneur who told me that, oh, I have this business and here's like how it works. I'd never listened to a podcast about entrepreneurship. I never watched a YouTube video. I don't even know there were podcasts when we were 14, right? I don't think there were. And so it's like when we were 13, 14, 15, 16, right?

28:17at a pretty formative age, like the only thing I had exposure to was basically like the NBA or skateboarding or like, you know, these, that was what was the cool thing that you could go try to model and emulate outside, right? Or during your summers or during your, when you got home from school. And like, I feel like today, if you go home, you have access to Twitter, you have access to TikTok, you have access to Instagram, you have access to YouTube. And on those platforms, you can get into any rabbit hole, into any niche that you want. And the people who stumble into of the kind of like tech Elon Musk bubble, right?

28:50They're going to see this. It's going to become normal to them. The idea that you can make millions of dollars. People who are listening to the podcast where we did with Zach, where it's like, oh, here's this 19 year old kid who just sold his company that was doing 30 million in ARR. That now becomes normalized for a huge generation of people who are then going to do their own version of that. We didn't have that advantage. So I don't think the human species evolves that fast, But I do think if you give it new training data, if you give it new stuff to be a mime about and just copy, they will do pretty well.

29:25Sam Parr:They were talking about dating, and I referenced the book The Game, and they were like, what's the game? And I was like, come here, son. It's called The Old Testament. Yeah. Come here, boy. Have a seat. Sit on my lap. All right, what's the next one? All right, I don't know if you saw this. Pokemon Go as one of the great pivots of all time. Did you see the story? I did not. All right. So if you remember, Pokemon Go was like the hit game. I don't know when this was like. Like 19 or 20. Yeah. Like, you know, seven years ago or something like that. It was a huge deal that people get. It was this new style of game.

29:59You would take out your phone and your phone would just be on like kind of camera mode. You'd walk around a city and then you would like discover a Pokemon. It would show up like using like, like the kind of, they would overlay the little Pokemon on top of like the street where you were standing. All right, cool. So that became like a kind of like a$1 to$2 billion game. I think they sold the game for$2 or$3 billion because it had this huge hype cycle that it kind of died down. Well, there's this really interesting story about the fact that they sold the game, but they kept all of the photos, the videos.

30:31And so what that means is like they had, I don't know, 100 million players or something like that walking around every city in the world with their phone out, capturing what the street looks like. And if you think about it, that's actually really valuable data for AI that wants to do not self-driving, but like self-delivery, right? So like delivery bots that are going to go on sidewalks in through neighborhoods or down city streets and have to deliver something. Well, they need to recognize where am I? What does this look like? What is the terrain? How does this work, et cetera? And so they took that data and they're licensing it out to all these AI companies now because they're the only ones in the world who have this data.

31:10And like, you've heard this kind of like, data's the new oil. That's a little misleading because there's just oil. With data, there's like very specific like niche types of data. And so you might have like a specific type of oil that nobody else has. And Pokemon Go, the company behind it, Niantic, has that data for real world behavior. Like if you've ever seen like the Google Street View thing, right? Like Google would send out a car with a camera that's rotating on top taking pictures of everything around it. And they would literally drive every street in the world, essentially, was the game plan with Google Street View.

31:45And they do it. They did it every like 10 years. Side note, one drove by my house the other day and I got so excited. And I went out and I flashed it. And I was like, yes, that's internet history, baby. That's the next 10 years. If anyone ever looks up this property, they're going to see my hairy belly out there. I did that shit. You couldn't think of what else to do. I knew it was a moment. Well, my brainstorm only had 15 seconds. I went Mardi Gras on it instead of doing something useful. What up, bro?

32:16Sam Parr:I've hated the analogy of data as the new oil because for years and years, people have said this for years, but there was no use for it. It's actually kind of a good analogy. Did you know that the oil industry existed? John Rockefeller started Standard Oil in the 1880s, but cars weren't invented really until 1915, 1918, and it didn't really get popular until like 1920. And so up to like 1915, what did they use oil for? Well, it was actually mostly kerosene. And so like street lamps, you would have someone go and like literally light the lamps in a city. And that was enough to make the industry big.

32:52Sam Parr:And then, you know, they were like doing it and killing it and killing it, killing it. Then Henry Ford created Ford. And I think in 1914, the first Model A, sorry, Model T came about and the oil industry exploded. And what is going on in some cases is kind of like that with AI, where there is data, but data is a new oil, but there's no use case for this oil. Yeah, maybe we think this is useful, but what are we going to use it for? Now it's like they have finally found a good place to actually put this oil. Yeah, that makes a lot of sense. And I feel like that's happened now with a few people. They woke up and they're like, ah, what's under my back?

33:29Oh, it's a lottery ticket. And that's basically what this is. we talked about Handshake, that company that was basically like a college student internship job board type of product. It was kind of dumb. Not dumb necessarily. It was just fine. Yeah, it was like not going to be the biggest thing in the world. It was a useful thing, right? Like college grads who want jobs and employers who want to hire like, you know, fresh college grads. And then they pivoted to basically training data where they were like, oh, we have all these students and whether it's, you know, different disciplines who all these AI labs want to pay to do curated training data.

34:05So, you know, whether it's, here's math answers. You tell me if the math answers are good. You label whether the answers were good. You give sort of that expert feedback to it or it's labeling data, that sort of thing. Like, you know, that was, they sort of woke up and, you know, had a lottery ticket in their back, I feel. And, you know, they had to identify it and they had to act on it for sure. That's, you know, more credit to them. But there's like a number of these companies that turns out we're sitting, you know, it's like, actually a better analogy is like the people who, you know, you buy a home and then you get a knock on the door and it's like, turns out your home was built on top of like an old mineral reserve and you can get paid like far more than the sum of your home to just leave, to just let us bulldoze this home and do this instead.

34:49And I feel like that's what's happening with a handful of companies right now because of their unique data sets.

34:54Sam Parr:Yeah, I don't know if it's going to happen to a lot, but it definitely is a good example of this happening in a wonderful way. What's the next one? I don't have much to say about this. Guy uses ChatGPT to sell his house. So Florida man sold his house in five days using ChatGPT without real estate. I don't really have much to say about this, but there is a funny Florida man game that I played the other day. Have you ever done the Florida man and then your birth date? No. Well, let's go. What's your birthday, Sam? June 15th. What's that? June 15th? June 15th. So Florida man, June 15th. Here's the top story.

35:26Florida man pushes pastor, knocks church coasters to the ground. What's the second one? Florida man said it's the 30 months for illegally transporting an alien. That sounds like something I would do.

35:42That's Doug Claude of E.T. I'm pretty sure he was a good guy in that. All right. I got one more here. So have you seen this Carpathia Jobs thing?

35:52Sam Parr:No, but I saw the Anthropic version. But what's the Carpathia one? Do you know who Karpathy is? I don't even know who he is, but I know that when people say, Karpathy says blank about AI, you're supposed to take it seriously. He was one of the OGs of OpenAI. He was then poached by Tesla. He ran the Tesla self-driving program for like a decade or something like that. He went back to OpenAI after that. And then now he's just like indie hacker. He's just Peter Levels with like six brains instead of one human brain. And a billion dollars. He's just fucking around and he just posts on Twitter like random AI little experiments he's doing.

36:29So he made this thing called Karpathy.ai slash jobs. And you can see this on the screen here. So basically what he did is he took all of the U.S. jobs from the Bureau of Labor. And okay, so that's 143 million different jobs in the U.S. economy. And then each – the size of the square is how big of a part of the U.S. economy that job is. So you can see like registered nurses. There's 3.4 million registered nurses in the United States. Construction laborers, there's 1.6 million. Secretaries, 3.5.

37:02Sam Parr:So it's percentage by quantity of workers. Popularity of the job. Because it says like cashiers is a huge percentage of that, which is insane. So cashiers take 3.2 million jobs. That's wild. That's cool. Okay. Correct. And so then what is green and red, right? Looks like a stock market chart. So basically then he told AI to estimate the likelihood that this job is going to disappear based on the capabilities of AI. So based on what the job does and then what AI can do, how disruptible is this job? How at risk is this job? So for example, construction laborers are green because they're more in the safe category from AI because AI today can't do what those people do.

37:50but customer service is in red, obviously. And so he went through every job in the US market and then you could sort of almost see like how turbulent will this be for the labor market because you've got how much red are you going to see on the screen? Because if it's going to really disrupt a very small niche job, that's not that big of a deal. But if it's going to disrupt, you know, secretaries and admin, cashiers, I'm surprised waiters and waitresses here, high school teachers, I'm surprised that one's there, and red. Kindergarten Elementary is kind of in an orange state here. That's insane.

38:25What? And then he has a caveat. So he says, caveat on digital exposure. So he basically, let me just read the whole thing. So he said, the digital AI exposure option is one example. It estimates how much of current AI, which is primarily digital, will reshape the occupation. But you could do this for any other type of thing like offshoring risk, et cetera. And then he includes even the prompt here. It's just a cool little hack project by him on the side. And he's like, you know, there's obviously a bunch of caveats, which is, he's like, software developers scored really high, while some people believe, well, dude, AI is doing all the coding now.

38:58What does that mean? And he's basically saying, he says, because AI transforms the work, but the demand for software is going to grow as each developer becomes more productive. The score does not account for demand elasticity, latent demand, regulatory barriers, or social preferences for human workers. That'd be like kindergarten teachers, for example. Many high exposure jobs will be reshaped and not replaced. So it's not, the red doesn't mean replaced, but it does mean reshaped. He did another thing that was pretty crazy. He created a auto AI researcher that runs all night. So he basically created an AI that he explicitly programmed to not look for human feedback.

39:29So it's like a recursive loop. So it's like a general hypothesis, do research, create an output, evaluate your own output, give yourself the next direction and go again and give yourself the next direction, go again, It just runs in the background all night, just doing its own research now. It's called Auto Researcher, which is really how AI is going to like, the big leaps from AI are going to come when AI programs the next leap.

39:54Sam Parr:Have you become the person where, so like my Friday and Saturday nights, I'm like, I want to learn this stuff. This is so exciting. I'm so locked in. I love this. Like it could be small stuff. Like I don't need to use Tableau anymore. You know, like I just make my own dashboards in Notion. and I created a script to auto-update it and like just all these things where I feel like I have superpowers. Yeah, I feel like I have superpowers, but I'm like the early, you know in Spider-Man when he like realizes he could shoot webs, but like really all he's doing is just shoot, he's like summoning the Coke can to him.

40:27It's like I could just get up or I could just web it to myself. I didn't have to get up from my bed. Like that's kind of what I'm doing. I'm doing a lot of stuff that feels cool to me. It feels like a superpower, but like does any of it matter right now? No. I'm like still the all the useful stuff is just chat with chat with ChatGPT chat with Grok chat with Claude.

40:46Sam Parr:Dude I've done like really simple stuff where like I'll be like make 20 landing pages in HubSpot for when people search X, Y, and Z that are related to my company. That's a very monotonous boring thing that I normally would have had to do by hand and it just made it all in five minutes. And this is for a lot of people listening. The agency business model just got really interesting now. Like historically, agencies are like a pain in the ass, but they're actually pretty amazing because you don't need to test if there's demand for an agency, right? Everyone needs an agency. Every business hires a lot of agencies.

41:22Sam Parr:You go through a lot because you don't particularly like them, but running an agency has always been a huge pain in the ass, regardless of how great of an agency it is. But now it's significantly different. I think that if you own an agency, I think you could take the path of like, my business is over, Or we could take the path of like, my multiples are going to go up a significant amount. My buddy Romine sent this blog post to just me and Ben like maybe a year or two years ago. And it was called Service as a Software. So instead of Software as a Service, Service as a Software. And he basically had this thesis.

41:54He's like, service businesses have historically had lower margins and lower multiples because two things. One, because it required so many people to do, the gross margins were worse. And two, because it required skilled people, you couldn't scale it the way you can a piece of code that can just keep running anywhere in the world. Whether one person is using that code or 10 million usually doesn't really matter. And he was like, AI seems to have changed this. And he called this early and he was like, now services businesses are going to have high gross margins, like 75 % gross margins instead of like 50%, 40 % gross margins.

42:31And he's like, the reason why is because obviously AI is going to make the service company more efficient. With one person, you could do what, you know, four, five, six, seven people were doing before. And then the second thing is that the more people have software, like service is going to become more rare. It's going to become more like, it's going to become the harder thing to get. And in addition to that, you have, so not only does it have the higher multiple, but also it'll scale better, right? Because if you're using the more internal software you have, the more clients you might be able to serve.

43:00And so you get the scalability and you get the margins. And so he had this idea, and this is exactly what we're seeing. We were talking to a bunch of PE folks, and they've all basically shifted budget away from buying SaaS to buying service companies. And they value the service companies like they used to value software companies, which is kind of crazy as a shift to make for somebody who was like ingrained in my mind that like, you know, software is the thing and services are bad, you know, and he was 100 % right. All right, today's sponsor is a company that I use that I actually built a company on that I sold for millions of dollars and it took me zero upfront capital.

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44:34All right. So I think I've told you this before, but my brother-in-law who's come on the podcast before, his name's Sanjeev. He is one of the biggest owners of retail shopping centers in the country. He owns, I don't know, like some, I don't know what the number is, but like maybe like a couple million square feet of real estate of retail shopping centers in the country. Probably one of the top five to 10 operators. But it's like a blue collar type of business as in like, you don't, his job is he does a lot of construction. He does a lot of leasing with brick and mortar businesses. And so he's not hugely exposed to AI.

45:09So he joined like Tiger 21 or something like that. He was at a meeting and he's like, dude, it was all about AI. He's like, I feel like I gotta like know more about AI. he's like, seems like, you know, I'm, I kind of know about it, but I got to know more, you know, like, seems like I'm probably under investing in this. So last night I just did, I did a little demo for him. So I basically went into Claude and I just go, I'm a retail shopping center owner. This is my business. Tell me 10 ways I should be using AI. So it gives me 10 ways. So it's like, here's 10 things you could do. A retail expansion and contraction tracker.

45:41Okay. So like, you know, your tenants are these retailers. You could scrape earnings calls, 10 Ks, press releases, trade publications, and flag which stores are opening more locations, which ones are closing locations. And that would create a hit list for your team to go call those tenants and basically be like top of mind for them as they look for new locations. Lease expiration. You have all these leases, right? If you have, let's call it 50 centers that you own, and each center has 30 tenants. Now you have 150 tenants that you would have. Each one has a unique lease on it, a unique timetable.

46:14You need to know who it's expiring and when. Just upload all of it to a folder and it'll tell you what is expiring, when it will give you notifications. And it'll cross reference that with their public announcements. So, you know, hey, they had a hot quarter, you know, go and look for an expansion of that lease. They're contracting, that's going to be at risk. You should start thinking about possible new tenants to put in. And it gave a list of like, you know, 10 different things. And then I just said, cool, give me the prompt to build this, to build number one, that like expansion tracker. So check this out.

46:43So then I go and I basically take that prompt. I throw it into the new, I wanted to try the new perplexity computer. I don't know if you've played with this at all, but perplexity has their computer, just open claw, but yeah, it's like open claw, but in their like sandbox, um, you less technical work to start. Uh, but it's like in their environment. So it built it. So check this out. So it's basically like, check this out. Uh, is this just a mockup? No, this is like an active live website now that he can use. So this is not his data or this is his data. This is not his data. This, I just said, Hey, here's seven states that I operate a lot in, Texas, Nevada, New Mexico, Utah.

47:18Oh, got it. So just, and then I didn't tell it anything else. So we went in and said, okay, Dollar General is a retailer that's expanding. You know, they're going to do 450 new stores and then you click in and it says, they planned this many new stores for 2026. They're going to do 4 ,000 remodels, 20 relocations. They currently have 20 ,000 stores. Here's where they're likely to be expanding. Here's the quote from the source, from the CEO, talking about what they're going to do. Right? Let's go to contracting, you know, Walgreens. They're planning to close 100 stores. They've already closed 500 since 2024.

47:57You know, here's like a Macy's one. Here's whatever, you know, different retailers and how they're doing. And then you're like, okay, cool. Now I basically have a hit list of retailers that I can basically have my team focus more attention on, less attention on in terms of getting new leases done or forecasting and anticipating and be proactive about potential vacancies I might have in my centers in the future. What did he say when he saw that? He was like, hey, can we do a call today? And he's like, kind of like, what the hell just happened? Like, I just need to talk to somebody to talk to somebody.

48:32Like, I need to see what the, he was like, I'm on ChatGPT. It seems like I should be using some other things. Can you tell me what these are now? And I'm like, yeah, you know, because I've invested millions of dollars with him. And so I'm like, yeah, like I can just show you a couple of things that I think are going to like, you know, today it's all manual, right? Everything is manual. Everything is gut. Everything is experience. But you can productize a lot of that and turn it into, you know, competitive advantage for yourself.

48:57Sam Parr:The problem is turning it into a competitive advantage. So it's getting someone like him who's smart and successful, but not well-versed and being like, oh my God. Like everyone feels the same amount of doom and overwhelm. They're like, I know this is important. I don't know the first place where to turn to in order to get help. You know, you and I have Twitter. We can just tweet out who knows how to do blank or is doing blank worth it? But if you are, it doesn't matter how successful you are, but if you're just a guy and you're not locked into this industry or like surrounded by nerds, I don't even know where you would start.

49:30Well, yeah, I think you have to figure out some proportional investment of education and time to work on this. Whether it's, you know, once a week or you do three weeks or you hire a consultant or you do whatever you're gonna do. It's one of the reasons I think the biggest opportunity right now, like the obvious no-brainer thing that anybody who hasn't made it that wants to make it in life needs to do today is to basically go sell AI transformation. So what do you do? You go find business owners and operators and you become an AI expert in your nights and weekends basically and then you go to them and you sell a no-risk offer to them, which is that I will come and I will find ways, I will come and do an audit and basically figure out how I can use AI to improve your business.

50:11And then you go and you do an audit and you try to figure out how to improve their business. You sell them the solution, the implementation of it. Of, hey, this is what I think AI could do for you. I'll do it for you if you pay me this amount. And here's the value it's going to drive for you. And then you do it once with, let's say you do it with one dentist, then you go do it with 50 more dentists. And you can literally make millions of dollars doing just that blueprint. That is the blueprint. Like, if you remember when social media marketing agency became a thing, there was this acronym, SMMA.

50:38and it became this like business in a box that anybody could open up, which was social media is a big deal. Businesses today don't really understand how to use it. They're using it in their personal life, but they're not using it for their business. Well, anybody in any locale, any niche can create a social media marketing agency and you could basically go to these business owners and say, hey, I'll run your social media for you because they don't know how to do it. They know they should do it and you can bridge that gap. And that became the business in a box. Well, what is the business in a box today?

51:08it's going and selling. Hey, I'm going to use AI to improve your business. And you go do that, and you should be doing that all around the country.

51:14Sam Parr:Over the next couple of weeks, when it's just you and I, I want to do an episode on how to develop good taste because what we're seeing online is people saying, now that building things is not important anymore because you have a machine that can build it for you, the next most important thing now is how to have good taste. And I have found that piece of advice to be incredibly unhelpful because what is the definition of good taste and how do you develop it? And I've been working really hard on defining it. And I think that we can see this whole, like I think that there's an interesting opportunity where you can teach people how to develop good taste because I believe you can.

51:56Sam Parr:And I want to do a whole episode on how to define what does good taste mean because I believe there's an objective definition to it, which is knowing and speaking the desire language of the people or thing that you want to speak about and then how you learn that language. I'm all in. I love that. I think that would be super fun to do. And I think, like you said, timely and necessary. And I think most people would agree with the premise that like taste matters. It's pretty hard to disagree with that taste ever didn't matter. Now matters more, right? Because if AI can produce more stuff and makes it easier than ever to make things, well, taste matters even more then, right?

52:36because taste is the discernment. It's the decision between good and bad. And so, yeah, obviously it matters more, but I think it's like these other soft skills that people don't even think of as skills, meaning you just sort of think you have a certain amount of it and it can't really grow like any other skill. And it's like, well, no, if it's a skill, that means it can be practiced, it can be learned, it can be improved. And so if it's a skill, then that means the only question is how?

53:01Sam Parr:I have that answer. And so I won't reveal it today, but I've been thinking a lot about this. coincidentally, I've been thinking about it for about two years on how to like learn good taste because I don't think I particularly have good taste but I've tried to develop it. All right, down. All right, that's it. That's the AI news we wanted to react to today. Sam, send them off. Peace. That's it. That's the pod. I feel like I can rule the world. I know I could be what I want to. I put my all in it like my days off. On the road, let's travel, never looking back. If you made it this far, then you're going to love what I'm about to tell you.

53:38Sam Parr:So there's this amazing entrepreneur. His name is Neil Patel. He's been on MFM. He's one of our favorite guests. And he has a podcast. It's called Marketing School. And it's brought to you by the HubSpot Podcast Network. Marketing School brings you daily actionable digital marketing lessons learned from years and years of being in the trenches. They have over 100 million downloads and over 2 ,500 episodes. Marketing School gives you bite-sized marketing wisdom that you can implement immediately, whether you have a new website or you already have this huge established business. you're going to learn about the latest SEO, content marketing, social media, email marketing, conversion optimization, and general online marketing strategies that work today.

54:10Sam Parr:You can get Marketing School wherever you get your podcasts.