The AI Company Everyone Slept On Just Broke Every Record

All right, there's a lot of stuff going All right, there's a lot of stuff going on, specifically AI stuff. It feels like on, specifically AI stuff. It feels like on, specifically AI stuff. It feels like every day there's a new crazy story every day there's a new crazy story every day there's a new crazy story about AI. So, I wanted to do a little about AI. So, I wanted to do a little about AI. So, I wanted to do a little bit with you, Sam. Crazy AI stories, you bit with you, Sam. Crazy AI stories, you bit with you, Sam. Crazy AI stories, you know, one crazier than the next, except know, one crazier than the next, except know, one crazier than the next, except they get crazier every single story. I was talking to a friend and he was I was talking to a friend and he was like, "I was trying to talk to my boss like, "I was trying to talk to my boss like, "I was trying to talk to my boss uh about something and apparently the uh about something and apparently the uh about something and apparently the boss had made like four or five agents boss had made like four or five agents boss had made like four or five agents that he calls employees and the boss that he calls employees and the boss that he calls employees and the boss replied to the feedback of like, you replied to the feedback of like, you replied to the feedback of like, you know, like we need to create X, Y, and know, like we need to create X, Y, and know, like we need to create X, Y, and Z." The boss said, "Um, can you talk to Z." The boss said, "Um, can you talk to Z." The boss said, "Um, can you talk to my chief of staff about that?" And uh so my chief of staff about that?" And uh so my chief of staff about that?" And uh so this person had to go and like message this person had to go and like message this person had to go and like message the chief of staff and was like the chief of staff and was like the chief of staff and was like messaging the chief of staff and it like messaging the chief of staff and it like messaging the chief of staff and it like they weren't getting the answer that they weren't getting the answer that they weren't getting the answer that they wanted. And they go to the the boss they wanted. And they go to the the boss they wanted. And they go to the the boss again and go, "Hey, your chief of staff again and go, "Hey, your chief of staff again and go, "Hey, your chief of staff sucks. Like what's what's their deal?" sucks. Like what's what's their deal?" sucks. Like what's what's their deal?" And the boss said, "Um, well, can you And the boss said, "Um, well, can you And the boss said, "Um, well, can you tell her boss uh my head of operations?" tell her boss uh my head of operations?" tell her boss uh my head of operations?" And so she like she or he literally had And so she like she or he literally had And so she like she or he literally had to go to like the boss of the agent to to go to like the boss of the agent to to go to like the boss of the agent to like say like, "Can we get this person like say like, "Can we get this person like say like, "Can we get this person on a PIP?" And this whole boss, this on a PIP?" And this whole boss, this on a PIP?" And this whole boss, this boss of this like 50 person organization boss of this like 50 person organization boss of this like 50 person organization was like referring to these people as was like referring to these people as was like referring to these people as people and like making his real life people and like making his real life people and like making his real life employees interact with them. Have you employees interact with them. Have you employees interact with them. Have you done anything that extreme with AI and done anything that extreme with AI and done anything that extreme with AI and agents? agents? agents? >> No. But I find the whole um hey, I'm >> No. But I find the whole um hey, I'm >> No. But I find the whole um hey, I'm going to have this entire like going to have this entire like going to have this entire like autonomous company of agents and then me autonomous company of agents and then me autonomous company of agents and then me on top thing to be so funny because it's on top thing to be so funny because it's on top thing to be so funny because it's like who says you get to be on top, like who says you get to be on top, like who says you get to be on top, right? would why would you be why would right? would why would you be why would right? would why would you be why would you be the the all knowing if if AI is you be the the all knowing if if AI is you be the the all knowing if if AI is so good that it can do all these jobs so good that it can do all these jobs so good that it can do all these jobs you think it just can't do yours like you think it just can't do yours like you think it just can't do yours like why is yours so special and it reminds why is yours so special and it reminds why is yours so special and it reminds me of a what's that like poem where it's me of a what's that like poem where it's me of a what's that like poem where it's like first they came for the the like first they came for the the like first they came for the the socialists and I did not speak out and socialists and I did not speak out and socialists and I did not speak out and then they came for the for the Jews and then they came for the for the Jews and then they came for the for the Jews and I did not speak out and then they came I did not speak out and then they came I did not speak out and then they came for this and when they came for me there for this and when they came for me there for this and when they came for me there was no one left to speak out that's was no one left to speak out that's was no one left to speak out that's that's basically what I think is that's basically what I think is that's basically what I think is happening with AI happening with AI happening with AI >> I uh Andrew Wilkinson came out with this >> I uh Andrew Wilkinson came out with this >> I uh Andrew Wilkinson came out with this personality test and I took And it was personality test and I took And it was personality test and I took And it was really cool. And then listen to this. My really cool. And then listen to this. My really cool. And then listen to this. My wife and I did it together cuz there's wife and I did it together cuz there's wife and I did it together cuz there's like a thing where you could share it like a thing where you could share it like a thing where you could share it with your spouse. And then there's one with your spouse. And then there's one with your spouse. And then there's one where you could share with your business where you could share with your business where you could share with your business partner. So I s told my business partner partner. So I s told my business partner partner. So I s told my business partner to do it. And he mistakenly shared the to do it. And he mistakenly shared the to do it. And he mistakenly shared the wife version that he he and it said that wife version that he he and it said that wife version that he he and it said that like it talked about like our sexual like it talked about like our sexual like it talked about like our sexual compat like are we compatible or not? compat like are we compatible or not? compat like are we compatible or not? >> Wait, you shared you and your wife? >> Wait, you shared you and your wife? >> Wait, you shared you and your wife? >> My my I shared it with my wife and he I >> My my I shared it with my wife and he I >> My my I shared it with my wife and he I go Joe this is cool. Do this. He did go Joe this is cool. Do this. He did go Joe this is cool. Do this. He did this on his own and he was like oh I did this on his own and he was like oh I did this on his own and he was like oh I did it with my wife too. It was really fun. it with my wife too. It was really fun. it with my wife too. It was really fun. And I was like, "Hey, there's a button And I was like, "Hey, there's a button And I was like, "Hey, there's a button that you that you that you >> send that back to you." >> send that back to you." >> send that back to you." >> And I was like, "There's a button that >> And I was like, "There's a button that >> And I was like, "There's a button that you can click and we could see how a you can click and we could see how a you can click and we could see how a business partners how we are business partners how we are business partners how we are compatible." And he mistakenly he said compatible." And he mistakenly he said compatible." And he mistakenly he said he sent me the partner one, which meant he sent me the partner one, which meant he sent me the partner one, which meant love partner, not business partner. And love partner, not business partner. And love partner, not business partner. And it's supposed to but there was another it's supposed to but there was another it's supposed to but there was another button that said co-orker. He meant to button that said co-orker. He meant to button that said co-orker. He meant to click the co-orker button. And I'm like, click the co-orker button. And I'm like, click the co-orker button. And I'm like, well, good news. We are very sexually well, good news. We are very sexually well, good news. We are very sexually compatible. And so he said that to me, but I have And so he said that to me, but I have Claude read my Slack and it gives me Claude read my Slack and it gives me Claude read my Slack and it gives me advice on how to reply to our slacks advice on how to reply to our slacks advice on how to reply to our slacks based off of each other's personalities. based off of each other's personalities. based off of each other's personalities. It's insane. It's insane. It's insane. >> Wow. It's just incredible. I mean, I >> Wow. It's just incredible. I mean, I >> Wow. It's just incredible. I mean, I could see the cynical take. I see it. could see the cynical take. I see it. could see the cynical take. I see it. See it right in front of me. But at the See it right in front of me. But at the See it right in front of me. But at the same time, it's something cool, right? same time, it's something cool, right? same time, it's something cool, right? So, okay. Give me an example. What did So, okay. Give me an example. What did So, okay. Give me an example. What did it What did it coach you? What did it it What did it coach you? What did it it What did it coach you? What did it teach you differently? Well, today it teach you differently? Well, today it teach you differently? Well, today it was like, you know, Joe, if you was like, you know, Joe, if you was like, you know, Joe, if you criticize the organization because he's criticize the organization because he's criticize the organization because he's the CEO, he's going to react defensively the CEO, he's going to react defensively the CEO, he's going to react defensively and that's one of his like that's one of and that's one of his like that's one of and that's one of his like that's one of his things and he tends to get defensive his things and he tends to get defensive his things and he tends to get defensive if you criticize X, Y, and Z. So, if you criticize X, Y, and Z. So, if you criticize X, Y, and Z. So, instead of criticizing it this way, uh instead of criticizing it this way, uh instead of criticizing it this way, uh say my my opinion is, you know, we say my my opinion is, you know, we say my my opinion is, you know, we should do this instead and or for me it should do this instead and or for me it should do this instead and or for me it was like, you know, Sam tends to was like, you know, Sam tends to was like, you know, Sam tends to criticize bluntly, but he doesn't mean criticize bluntly, but he doesn't mean criticize bluntly, but he doesn't mean it in a mean way. And so, like, right, it in a mean way. And so, like, right, it in a mean way. And so, like, right, >> it just has helped us communicate. It's >> it just has helped us communicate. It's >> it just has helped us communicate. It's been really effective. But he does like been really effective. But he does like been really effective. But he does like kisses on the neck. So maybe try that. kisses on the neck. So maybe try that. kisses on the neck. So maybe try that. >> Like if you see him, just like smack him >> Like if you see him, just like smack him >> Like if you see him, just like smack him on the ass and tell him you appreciate on the ass and tell him you appreciate on the ass and tell him you appreciate him. >> So what's your first crazy story? >> So what's your first crazy story? >> That's a good story. >> That's a good story. >> That's a good story. >> That's amazing. Did you guys just swear >> That's amazing. Did you guys just swear >> That's amazing. Did you guys just swear like to never speak of it or what? like to never speak of it or what? like to never speak of it or what? >> Yeah, I just I was like, just so you >> Yeah, I just I was like, just so you >> Yeah, I just I was like, just so you know, you sent it to me. I saw you I saw know, you sent it to me. I saw you I saw know, you sent it to me. I saw you I saw the letters SCX. I knew what it was. I the letters SCX. I knew what it was. I the letters SCX. I knew what it was. I just scrolled right past it. Uh, oh, that's amazing. All right, if you oh, that's amazing. All right, if you want to hit your goals, you need a want to hit your goals, you need a want to hit your goals, you need a system. And so, I worked with HubSpot to system. And so, I worked with HubSpot to system. And so, I worked with HubSpot to put together a step-by-step process put together a step-by-step process put together a step-by-step process showing you how I use ChatGpt as a life showing you how I use ChatGpt as a life showing you how I use ChatGpt as a life coach. So, I uploaded my personal coach. So, I uploaded my personal coach. So, I uploaded my personal finances, my net worth, my goals, and finances, my net worth, my goals, and finances, my net worth, my goals, and the output is that I have this GPT that the output is that I have this GPT that the output is that I have this GPT that I can ask questions that I'm having I can ask questions that I'm having I can ask questions that I'm having issues with in my life, like, how should issues with in my life, like, how should issues with in my life, like, how should I respond to this email? what's the I respond to this email? what's the I respond to this email? what's the right decision, things like that. And right decision, things like that. And right decision, things like that. And it's literally changed my life. And so, it's literally changed my life. And so, it's literally changed my life. And so, if you want that, it's free. We will if you want that, it's free. We will if you want that, it's free. We will send you everything you need to know to send you everything you need to know to send you everything you need to know to set this up in just about 20 minutes. set this up in just about 20 minutes. set this up in just about 20 minutes. And I'll show you how I use it. So, And I'll show you how I use it. So, And I'll show you how I use it. So, check it out. The link is below in the check it out. The link is below in the check it out. The link is below in the description. Back to the episode. description. Back to the episode. description. Back to the episode. I don't know if you saw this, Anthropic I don't know if you saw this, Anthropic I don't know if you saw this, Anthropic did $6 billion in revenue in a single did $6 billion in revenue in a single did $6 billion in revenue in a single month uh last month, month uh last month, month uh last month, >> which is >> which is >> which is >> insane. I just want to put this in >> insane. I just want to put this in >> insane. I just want to put this in perspective for you. I heard this on um perspective for you. I heard this on um perspective for you. I heard this on um I think it was on allin or something. I think it was on allin or something. I think it was on allin or something. They said this great line. He goes just They said this great line. He goes just They said this great line. He goes just to put that in perspective uh 6 billion to put that in perspective uh 6 billion to put that in perspective uh 6 billion what it did in in February is more what it did in in February is more what it did in in February is more revenue than snowflake or data bricks revenue than snowflake or data bricks revenue than snowflake or data bricks like two of the greatest software like two of the greatest software like two of the greatest software companies of the last 20 years. These companies of the last 20 years. These companies of the last 20 years. These enterprise software behemoths that are enterprise software behemoths that are enterprise software behemoths that are like multi00 billion dollar companies like multi00 billion dollar companies like multi00 billion dollar companies that's more than their annual revenue that's more than their annual revenue that's more than their annual revenue and Antropic just like messed around and and Antropic just like messed around and and Antropic just like messed around and did it in a month last month which is did it in a month last month which is did it in a month last month which is just insane. Did you cancel your chat? just insane. Did you cancel your chat? just insane. Did you cancel your chat? >> No, dude. I'm a what of a polyamorous. >> No, dude. I'm a what of a polyamorous. >> No, dude. I'm a what of a polyamorous. I'm maxed out on everybody. I got I'm maxed out on everybody. I got I'm maxed out on everybody. I got Gemini. I got Perplexing the Computer. I Gemini. I got Perplexing the Computer. I Gemini. I got Perplexing the Computer. I got Claude. I got Chat GP. Give it give got Claude. I got Chat GP. Give it give got Claude. I got Chat GP. Give it give me all the intelligence. me all the intelligence. me all the intelligence. >> I uh I like for years I was like I for a >> I uh I like for years I was like I for a >> I uh I like for years I was like I for a year. It sounds like I'm saying for year. It sounds like I'm saying for year. It sounds like I'm saying for years. For a year uh since Chat has years. For a year uh since Chat has years. For a year uh since Chat has existed, I was like this is my guy. I'm existed, I was like this is my guy. I'm existed, I was like this is my guy. I'm not going to switch. And as soon as this not going to switch. And as soon as this not going to switch. And as soon as this new version of Cloud came out, it's I new version of Cloud came out, it's I new version of Cloud came out, it's I explicitly only use that and I use it explicitly only use that and I use it explicitly only use that and I use it all day. It's so It's so amazing. all day. It's so It's so amazing. all day. It's so It's so amazing. >> Yeah. I want to actually do like a >> Yeah. I want to actually do like a >> Yeah. I want to actually do like a survey, like a census data survey to uh, survey, like a census data survey to uh, survey, like a census data survey to uh, you know, 10,000, you know, high you know, 10,000, you know, high you know, 10,000, you know, high performers and be like, "This is the performers and be like, "This is the performers and be like, "This is the situation. Which friend do you trust? situation. Which friend do you trust? situation. Which friend do you trust? Who do you trust? Who do you go to?" Who do you trust? Who do you go to?" Who do you trust? Who do you go to?" Like, I had a legal question yesterday Like, I had a legal question yesterday Like, I had a legal question yesterday and I just was like, I'm just going to and I just was like, I'm just going to and I just was like, I'm just going to go to Grock cuz if I need the right go to Grock cuz if I need the right go to Grock cuz if I need the right answer here, I need a thorough, rigorous answer here, I need a thorough, rigorous answer here, I need a thorough, rigorous answer, I'm going to go to Grock. Why? I answer, I'm going to go to Grock. Why? I answer, I'm going to go to Grock. Why? I don't know. I'm just This is all off don't know. I'm just This is all off don't know. I'm just This is all off vibes. If I need writing help, I'm like, vibes. If I need writing help, I'm like, vibes. If I need writing help, I'm like, I go to Claude. If I needed to make I go to Claude. If I needed to make I go to Claude. If I needed to make something, I go to Claude. But if it's something, I go to Claude. But if it's something, I go to Claude. But if it's just like quick and easy, chat GPT is my just like quick and easy, chat GPT is my just like quick and easy, chat GPT is my best buddy. Right? So, it's like you best buddy. Right? So, it's like you best buddy. Right? So, it's like you have these different use cases. But I have these different use cases. But I have these different use cases. But I don't know if I'm completely alone in don't know if I'm completely alone in don't know if I'm completely alone in that and these are made up arbitrary that and these are made up arbitrary that and these are made up arbitrary strengths and weaknesses that I've sort strengths and weaknesses that I've sort strengths and weaknesses that I've sort of uh picked up or if everybody's of uh picked up or if everybody's of uh picked up or if everybody's feeling this way. That's actually pretty feeling this way. That's actually pretty feeling this way. That's actually pretty interesting. interesting. interesting. >> So, what's funny is people talked about >> So, what's funny is people talked about >> So, what's funny is people talked about claw to me forever and anthropic and I claw to me forever and anthropic and I claw to me forever and anthropic and I didn't know what it was. didn't know what it was. didn't know what it was. >> By the way, let's put a surve we'll put >> By the way, let's put a surve we'll put >> By the way, let's put a surve we'll put a survey in the bottom of the show. I a survey in the bottom of the show. I a survey in the bottom of the show. I want to see how people use it. It'll be want to see how people use it. It'll be want to see how people use it. It'll be like five questions or something and I like five questions or something and I like five questions or something and I want to know which tool do you trust for want to know which tool do you trust for want to know which tool do you trust for this situation and I want to see if our this situation and I want to see if our this situation and I want to see if our audience mirrors me and you's own uh audience mirrors me and you's own uh audience mirrors me and you's own uh usage and we'll send it we'll we'll usage and we'll send it we'll we'll usage and we'll send it we'll we'll share the data next time. share the data next time. share the data next time. >> I thought Claude was like the the second >> I thought Claude was like the the second >> I thought Claude was like the the second third fourth place. I thought it was third fourth place. I thought it was third fourth place. I thought it was like a joke. Um but I was wrong. like a joke. Um but I was wrong. like a joke. Um but I was wrong. >> As per usual, I am the joke. It's like >> As per usual, I am the joke. It's like >> As per usual, I am the joke. It's like how I normally feel about these things. how I normally feel about these things. how I normally feel about these things. >> Yeah. Like I you know I thought that >> Yeah. Like I you know I thought that >> Yeah. Like I you know I thought that like anthropic I was like you know like anthropic I was like you know like anthropic I was like you know that's just like that's like using that's just like that's like using that's just like that's like using Yahoo. Uh what uh the founder is he uh Yahoo. Uh what uh the founder is he uh Yahoo. Uh what uh the founder is he uh did he work at Chad GBT or is he just a did he work at Chad GBT or is he just a did he work at Chad GBT or is he just a guy? He's just a a brilliant guy. guy? He's just a a brilliant guy. guy? He's just a a brilliant guy. >> Yeah, he was like one of like the core >> Yeah, he was like one of like the core >> Yeah, he was like one of like the core four or five people at at OpenAI and he four or five people at at OpenAI and he four or five people at at OpenAI and he left. left. left. >> Oh wow. Okay. And how much do you think >> Oh wow. Okay. And how much do you think >> Oh wow. Okay. And how much do you think that company worth? So 6* 12 is 72. So that company worth? So 6* 12 is 72. So that company worth? So 6* 12 is 72. So they're doing 72 million billion. they're doing 72 million billion. they're doing 72 million billion. >> AI over there are AI. That was a quick >> AI over there are AI. That was a quick >> AI over there are AI. That was a quick little 6* 12. I like that. Um no big little 6* 12. I like that. Um no big little 6* 12. I like that. Um no big deal. They're currently valued like at deal. They're currently valued like at deal. They're currently valued like at 400 billion. a steel shockingly right. 400 billion. a steel shockingly right. 400 billion. a steel shockingly right. >> By the way, other great news, I am now >> By the way, other great news, I am now >> By the way, other great news, I am now officially an investor of OpenAI and I'm officially an investor of OpenAI and I'm officially an investor of OpenAI and I'm trying to get into anthropic too, but uh trying to get into anthropic too, but uh trying to get into anthropic too, but uh I you know at the low low price of $800 I you know at the low low price of $800 I you know at the low low price of $800 billion have invested in OpenAI. Call me billion have invested in OpenAI. Call me billion have invested in OpenAI. Call me a genius. a genius. a genius. >> Congratulations. What uh who's this guy? >> Congratulations. What uh who's this guy? >> Congratulations. What uh who's this guy? His name is Daario. Is is there anything His name is Daario. Is is there anything His name is Daario. Is is there anything interesting about him or is he just a interesting about him or is he just a interesting about him or is he just a genius? genius? genius? >> I know what you're asking which is you >> I know what you're asking which is you >> I know what you're asking which is you know that's like between you and me know that's like between you and me know that's like between you and me that's kind of like does he also have a that's kind of like does he also have a that's kind of like does he also have a weird hobby? Did he have some strange weird hobby? Did he have some strange weird hobby? Did he have some strange upbringing? Was he a child prodigy? upbringing? Was he a child prodigy? upbringing? Was he a child prodigy? That's kind of what you're asking for. That's kind of what you're asking for. That's kind of what you're asking for. I'm sure he's a very interesting guy. I I'm sure he's a very interesting guy. I I'm sure he's a very interesting guy. I don't know of any of those things that don't know of any of those things that don't know of any of those things that we really like about people. I don't we really like about people. I don't we really like about people. I don't know if he he we he has any of those, know if he he we he has any of those, know if he he we he has any of those, you know, you know, you know, >> just a typical genius. Okay. >> just a typical genius. Okay. >> just a typical genius. Okay. >> He he did say a pretty interesting >> He he did say a pretty interesting >> He he did say a pretty interesting thing. So, they're growing so fast, thing. So, they're growing so fast, thing. So, they're growing so fast, right? So, they they basically he said right? So, they they basically he said right? So, they they basically he said they they've grown revenue 10x every they they've grown revenue 10x every they they've grown revenue 10x every single year for the last whatever 3 or 4 single year for the last whatever 3 or 4 single year for the last whatever 3 or 4 years. So, it was like 0 to 100 million, years. So, it was like 0 to 100 million, years. So, it was like 0 to 100 million, 100 million to a billion, a billion to 100 million to a billion, a billion to 100 million to a billion, a billion to 10 billion, and now they're basically 10 billion, and now they're basically 10 billion, and now they're basically going 10 billion to 100 billion is the going 10 billion to 100 billion is the going 10 billion to 100 billion is the current like jump that they're making. current like jump that they're making. current like jump that they're making. And this, you know, doing six billion in And this, you know, doing six billion in And this, you know, doing six billion in a month is is indicative of that. And he a month is is indicative of that. And he a month is is indicative of that. And he was like, you know, the crazy thing is I was like, you know, the crazy thing is I was like, you know, the crazy thing is I have to invest in servers, right? So I have to invest in servers, right? So I have to invest in servers, right? So I have to like buy inventory essentially. have to like buy inventory essentially. have to like buy inventory essentially. It's like a clothing brand. I have to It's like a clothing brand. I have to It's like a clothing brand. I have to buy all these chips and these servers buy all these chips and these servers buy all these chips and these servers and these data centers. And he's and these data centers. And he's and these data centers. And he's basically being seen as like a wuss basically being seen as like a wuss basically being seen as like a wuss because he's not going out there yelling because he's not going out there yelling because he's not going out there yelling like I'm going to do a trillion dollar like I'm going to do a trillion dollar like I'm going to do a trillion dollar data center like OpenAI. Sam Alman's data center like OpenAI. Sam Alman's data center like OpenAI. Sam Alman's doing that. And uh he he pointed out on doing that. And uh he he pointed out on doing that. And uh he he pointed out on Dark Cash's podcast. He goes, "The weird Dark Cash's podcast. He goes, "The weird Dark Cash's podcast. He goes, "The weird thing is like we're like one of the most thing is like we're like one of the most thing is like we're like one of the most successful companies ever, but if I'm successful companies ever, but if I'm successful companies ever, but if I'm wrong, like if I bet wrong on that, wrong, like if I bet wrong on that, wrong, like if I bet wrong on that, we'll go broke." He's like, "So if I bet we'll go broke." He's like, "So if I bet we'll go broke." He's like, "So if I bet if I bet on another 10x, but we only if I bet on another 10x, but we only if I bet on another 10x, but we only grow 5x in a year, we could go grow 5x in a year, we could go grow 5x in a year, we could go bankrupt." And so he's like, "It's a bankrupt." And so he's like, "It's a bankrupt." And so he's like, "It's a very strange situation that I have to very strange situation that I have to very strange situation that I have to keep like being conservative even though keep like being conservative even though keep like being conservative even though we have the most explosive growth and we have the most explosive growth and we have the most explosive growth and they're sort of limited on that." But they're sort of limited on that." But they're sort of limited on that." But now they're like the number one app in now they're like the number one app in now they're like the number one app in the app store uh on on Google and Apple the app store uh on on Google and Apple the app store uh on on Google and Apple right now, I think. Um, and so they're right now, I think. Um, and so they're right now, I think. Um, and so they're just growing incredibly fast. just growing incredibly fast. just growing incredibly fast. >> To put this in perspective, when you and >> To put this in perspective, when you and >> To put this in perspective, when you and I were 22, growing up in San Francisco, I were 22, growing up in San Francisco, I were 22, growing up in San Francisco, like trying to like make it big, the like trying to like make it big, the like trying to like make it big, the golden standard was triple, triple, golden standard was triple, triple, golden standard was triple, triple, double double, meaning your revenue double double, meaning your revenue double double, meaning your revenue needs a triple and then triple again and needs a triple and then triple again and needs a triple and then triple again and then double and then double. And that is then double and then double. And that is then double and then double. And that is how you build a uh once in a generation how you build a uh once in a generation how you build a uh once in a generation company. Now company. Now company. Now >> you were the winner if you were on that >> you were the winner if you were on that >> you were the winner if you were on that trajectory. trajectory. trajectory. >> And now it's 10x 10x 10x 10x. It's just >> And now it's 10x 10x 10x 10x. It's just >> And now it's 10x 10x 10x 10x. It's just a It's just We're not even in the same a It's just We're not even in the same a It's just We're not even in the same ballpark, so it's kind of hard to ballpark, so it's kind of hard to ballpark, so it's kind of hard to fathom. fathom. fathom. >> Yeah. >> Yeah. >> Yeah. Yeah. It's great. The bar has raised. Yeah. It's great. The bar has raised. Yeah. It's great. The bar has raised. All right. Next story. You probably saw All right. Next story. You probably saw All right. Next story. You probably saw this. This is going viral on Twitter this. This is going viral on Twitter this. This is going viral on Twitter everywhere. everywhere. everywhere. >> Amazing. >> Amazing. >> Amazing. >> Man uses AI to cure his dog's cancer. >> Man uses AI to cure his dog's cancer. >> Man uses AI to cure his dog's cancer. And uh the short story is there's this And uh the short story is there's this And uh the short story is there's this Australian entrepreneur who basically Australian entrepreneur who basically Australian entrepreneur who basically was like kind of like a data nerd. So was like kind of like a data nerd. So was like kind of like a data nerd. So his dog had like a bump on his back, I his dog had like a bump on his back, I his dog had like a bump on his back, I believe. And he, you know, was kind of believe. And he, you know, was kind of believe. And he, you know, was kind of like, "Well, there's nothing you could like, "Well, there's nothing you could like, "Well, there's nothing you could do." And so he said, "Well, do." And so he said, "Well, do." And so he said, "Well, we sure about that and he decided to we sure about that and he decided to we sure about that and he decided to enter the high agency Olympics and enter the high agency Olympics and enter the high agency Olympics and manually go cure his dog's cancer. And manually go cure his dog's cancer. And manually go cure his dog's cancer. And so I think what he did was some version so I think what he did was some version so I think what he did was some version of the following. He's talking to Chad of the following. He's talking to Chad of the following. He's talking to Chad GPT about like what he could potentially GPT about like what he could potentially GPT about like what he could potentially do. That gives him an idea which is to do. That gives him an idea which is to do. That gives him an idea which is to sequence the DNA of the tumor versus the sequence the DNA of the tumor versus the sequence the DNA of the tumor versus the DNA of his other cells. And the idea DNA of his other cells. And the idea DNA of his other cells. And the idea being if you extract the DNA of the being if you extract the DNA of the being if you extract the DNA of the tumor cells, there's some mutation tumor cells, there's some mutation tumor cells, there's some mutation that's causing the growth. and you take that's causing the growth. and you take that's causing the growth. and you take his normal cells and other part of his his normal cells and other part of his his normal cells and other part of his body or maybe it was a prior year or body or maybe it was a prior year or body or maybe it was a prior year or something like that and you compare the something like that and you compare the something like that and you compare the difference you would see that oh this difference you would see that oh this difference you would see that oh this tumor cells has some this is the tumor cells has some this is the tumor cells has some this is the anomalous part of the genome that's anomalous part of the genome that's anomalous part of the genome that's causing the problem potentially which by causing the problem potentially which by causing the problem potentially which by the way he had to like pay for out of the way he had to like pay for out of the way he had to like pay for out of pocket he went to a lab he was like hey pocket he went to a lab he was like hey pocket he went to a lab he was like hey can I get one sequencing done for this can I get one sequencing done for this can I get one sequencing done for this and they were like okay um and he got it and they were like okay um and he got it and they were like okay um and he got it under some research purposes and then he under some research purposes and then he under some research purposes and then he took that and he gave it to then he used took that and he gave it to then he used took that and he gave it to then he used alphafold which is the Google deep mind alphafold which is the Google deep mind alphafold which is the Google deep mind product for predicting protein folding product for predicting protein folding product for predicting protein folding structure. So proteins we kind of know structure. So proteins we kind of know structure. So proteins we kind of know we know what the genome is but you got we know what the genome is but you got we know what the genome is but you got to know how it's folded up the shape of to know how it's folded up the shape of to know how it's folded up the shape of it if you're going to actually like it if you're going to actually like it if you're going to actually like attack it with some sort of uh attack it with some sort of uh attack it with some sort of uh treatment. treatment. treatment. So then he using alpha fold figures out So then he using alpha fold figures out So then he using alpha fold figures out the shape of the thing then using Grock the shape of the thing then using Grock the shape of the thing then using Grock designs a singleshot custom vaccine goes designs a singleshot custom vaccine goes designs a singleshot custom vaccine goes to a lab convinces them to do it and he to a lab convinces them to do it and he to a lab convinces them to do it and he says by the way in this whole process says by the way in this whole process says by the way in this whole process that the the regulatory was the harder that the the regulatory was the harder that the the regulatory was the harder part than actually curing the cancer part than actually curing the cancer part than actually curing the cancer like getting the approval uh where he like getting the approval uh where he like getting the approval uh where he was able to actually do this and they was able to actually do this and they was able to actually do this and they would they would manufacture the vaccine would they would manufacture the vaccine would they would manufacture the vaccine for him for him for him >> approval from the vaccine manufacturer. >> approval from the vaccine manufacturer. >> approval from the vaccine manufacturer. >> Yeah. The the vaccine manufacturer >> Yeah. The the vaccine manufacturer >> Yeah. The the vaccine manufacturer needed to know like you don't get to needed to know like you don't get to needed to know like you don't get to just like you know you and I can't just just like you know you and I can't just just like you know you and I can't just go and make vaccines. So there's go and make vaccines. So there's go and make vaccines. So there's protocols in place to make sure that protocols in place to make sure that protocols in place to make sure that people aren't like manufacturing, you people aren't like manufacturing, you people aren't like manufacturing, you know, whether it's viruses or self know, whether it's viruses or self know, whether it's viruses or self treatments that could do harm and treatments that could do harm and treatments that could do harm and whatnot. And so they were able and then whatnot. And so they were able and then whatnot. And so they were able and then so he as he was doing this, someone who so he as he was doing this, someone who so he as he was doing this, someone who who already had the ethics clearance to who already had the ethics clearance to who already had the ethics clearance to do research uh on pets heard about what do research uh on pets heard about what do research uh on pets heard about what he was doing and they he kind of used he was doing and they he kind of used he was doing and they he kind of used their umbrella to get the vaccine made, their umbrella to get the vaccine made, their umbrella to get the vaccine made, gave the vaccine, cured his dog. Legend. gave the vaccine, cured his dog. Legend. gave the vaccine, cured his dog. Legend. Paul, you're a legend. I have a friend Paul, you're a legend. I have a friend Paul, you're a legend. I have a friend who has cancer and he actually works at who has cancer and he actually works at who has cancer and he actually works at OpenAI. I tweeted about this. I was OpenAI. I tweeted about this. I was OpenAI. I tweeted about this. I was like, like, like, >> I don't I don't particularly know why he >> I don't I don't particularly know why he >> I don't I don't particularly know why he wanted me to tweet this, but he was wanted me to tweet this, but he was wanted me to tweet this, but he was like, "Hey, I need one of these three like, "Hey, I need one of these three like, "Hey, I need one of these three drugs and I'm having a hard time getting drugs and I'm having a hard time getting drugs and I'm having a hard time getting in touch with the particular person who in touch with the particular person who in touch with the particular person who I can get the drug from." And I can get the drug from." And I can get the drug from." And interestingly, Mark Cuban reached out to interestingly, Mark Cuban reached out to interestingly, Mark Cuban reached out to me and was like, "Hey, uh, you know, me and was like, "Hey, uh, you know, me and was like, "Hey, uh, you know, give me your friend's cell phone number. give me your friend's cell phone number. give me your friend's cell phone number. I'll I'll give him a call and hook I'm I'll I'll give him a call and hook I'm I'll I'll give him a call and hook I'm on it." And so did Martin Skreyelli. And on it." And so did Martin Skreyelli. And on it." And so did Martin Skreyelli. And I was like, "Well, buddy, I was like, "Well, buddy, I was like, "Well, buddy, >> you want Batman or you want the Joker?" >> you want Batman or you want the Joker?" >> you want Batman or you want the Joker?" >> Yeah. I was like, "Uh, I don't, you >> Yeah. I was like, "Uh, I don't, you >> Yeah. I was like, "Uh, I don't, you know, take what you can get here." And know, take what you can get here." And know, take what you can get here." And so, um, he did. And, you know, now he's so, um, he did. And, you know, now he's so, um, he did. And, you know, now he's getting, um, what he needs, but I have getting, um, what he needs, but I have getting, um, what he needs, but I have to imagine he work, I don't know if I to imagine he work, I don't know if I to imagine he work, I don't know if I said this, he works at OpenAI. And I'm said this, he works at OpenAI. And I'm said this, he works at OpenAI. And I'm like, if you're reading this, you have like, if you're reading this, you have like, if you're reading this, you have to imagine that this is the next step to imagine that this is the next step to imagine that this is the next step that you're going to take, right? that you're going to take, right? that you're going to take, right? >> Right. Yeah. That's crazy. Um, is he >> Right. Yeah. That's crazy. Um, is he >> Right. Yeah. That's crazy. Um, is he doing the similar thing? Is he basically doing the similar thing? Is he basically doing the similar thing? Is he basically trying to self treat like is he trying to self treat like is he trying to self treat like is he basically using AI tools to come up with basically using AI tools to come up with basically using AI tools to come up with hypotheses to then come up with you know hypotheses to then come up with you know hypotheses to then come up with you know possible treatments for himself like possible treatments for himself like possible treatments for himself like what what's going on? What is your what what what's going on? What is your what what what's going on? What is your what is your friend doing? That sounds is your friend doing? That sounds is your friend doing? That sounds interesting. interesting. interesting. >> I don't ask him. I I let him come to me >> I don't ask him. I I let him come to me >> I don't ask him. I I let him come to me when things are going good. I I try not when things are going good. I I try not when things are going good. I I try not to uh bring it up too much. This is his to uh bring it up too much. This is his to uh bring it up too much. This is his second time that he has he's had cancer second time that he has he's had cancer second time that he has he's had cancer uh lost his leg, got cancer again. And uh lost his leg, got cancer again. And uh lost his leg, got cancer again. And so I'm like whenever you need me, let me so I'm like whenever you need me, let me so I'm like whenever you need me, let me know. He'll visit my home when he's like know. He'll visit my home when he's like know. He'll visit my home when he's like at a New York doctor. at a New York doctor. at a New York doctor. >> But I do know that there's this guy >> But I do know that there's this guy >> But I do know that there's this guy named Sid. Sid is the founder of a named Sid. Sid is the founder of a named Sid. Sid is the founder of a company called GitLab. Have you heard of company called GitLab. Have you heard of company called GitLab. Have you heard of GitLab? GitLab? GitLab? >> The like, you know, big developer tool, >> The like, you know, big developer tool, >> The like, you know, big developer tool, >> multi-billion dollar company. Yeah. So >> multi-billion dollar company. Yeah. So >> multi-billion dollar company. Yeah. So Sid and my buddy became friends because Sid and my buddy became friends because Sid and my buddy became friends because Sid wrote this article called I'm going Sid wrote this article called I'm going Sid wrote this article called I'm going founder mode on cancer. And so Sid has founder mode on cancer. And so Sid has founder mode on cancer. And so Sid has the same the same the same >> Did Sid leave GitLab to do this or this >> Did Sid leave GitLab to do this or this >> Did Sid leave GitLab to do this or this like a side thing he's doing? like a side thing he's doing? like a side thing he's doing? >> Well, Sid has the same cancer as my >> Well, Sid has the same cancer as my >> Well, Sid has the same cancer as my friend. So I don't know if he's left friend. So I don't know if he's left friend. So I don't know if he's left GitLab for sure, but he goes, "I'm going GitLab for sure, but he goes, "I'm going GitLab for sure, but he goes, "I'm going founder mode on cancer." And so he's founder mode on cancer." And so he's founder mode on cancer." And so he's hired this team of doctors and I believe hired this team of doctors and I believe hired this team of doctors and I believe in his article he said they are using AI in his article he said they are using AI in his article he said they are using AI to do a lot of this stuff. And so my to do a lot of this stuff. And so my to do a lot of this stuff. And so my buddy connected with Sid because they buddy connected with Sid because they buddy connected with Sid because they had the exact same cancer. So he's using had the exact same cancer. So he's using had the exact same cancer. So he's using SID's doctors as well to you know it's a SID's doctors as well to you know it's a SID's doctors as well to you know it's a fancy concierge cancer doctor and they fancy concierge cancer doctor and they fancy concierge cancer doctor and they are going through this journey of like are going through this journey of like are going through this journey of like trying to cure this very very rare uh trying to cure this very very rare uh trying to cure this very very rare uh cancer and so Sid who's the founder of cancer and so Sid who's the founder of cancer and so Sid who's the founder of GitLab who is a technical company so and GitLab who is a technical company so and GitLab who is a technical company so and he's a billionaire I presume then that he's a billionaire I presume then that he's a billionaire I presume then that like you know this is a very special like you know this is a very special like you know this is a very special person who could figure out these types person who could figure out these types person who could figure out these types of cases he's actually documenting on of cases he's actually documenting on of cases he's actually documenting on his Substack how he's trying to cure his his Substack how he's trying to cure his his Substack how he's trying to cure his cancer. It's really interesting. cancer. It's really interesting. cancer. It's really interesting. >> That's amazing. Um, all right. Well, >> That's amazing. Um, all right. Well, >> That's amazing. Um, all right. Well, we're wishing them the best. That's a I we're wishing them the best. That's a I we're wishing them the best. That's a I mean, I feel more um hopeful about this mean, I feel more um hopeful about this mean, I feel more um hopeful about this sort of thing than ever, right? Like I sort of thing than ever, right? Like I sort of thing than ever, right? Like I think the combination of AI think the combination of AI think the combination of AI and then on top of AI is I would say and then on top of AI is I would say and then on top of AI is I would say like the fact that Ompeic and these like the fact that Ompeic and these like the fact that Ompeic and these weight loss drugs seem to have done weight loss drugs seem to have done weight loss drugs seem to have done something that sounded like too good to something that sounded like too good to something that sounded like too good to be true. It's like well there is a magic be true. It's like well there is a magic be true. It's like well there is a magic pill for weight loss. Turns out there pill for weight loss. Turns out there pill for weight loss. Turns out there there actually is a magic pill for there actually is a magic pill for there actually is a magic pill for weight loss. that kind of like is a you weight loss. that kind of like is a you weight loss. that kind of like is a you know breaks a little bit of a mental know breaks a little bit of a mental know breaks a little bit of a mental barrier of like maybe you can just barrier of like maybe you can just barrier of like maybe you can just oneshot certain you know certain issues oneshot certain you know certain issues oneshot certain you know certain issues or or problems that plague huge or or problems that plague huge or or problems that plague huge percentages of people. So I feel more I percentages of people. So I feel more I percentages of people. So I feel more I don't know more hopeful than ever that don't know more hopeful than ever that don't know more hopeful than ever that there's like you know new new there's like you know new new there's like you know new new breakthroughs new inflections that would breakthroughs new inflections that would breakthroughs new inflections that would change you know how cancer treatment change you know how cancer treatment change you know how cancer treatment works uh over the next you know 1 to 10 works uh over the next you know 1 to 10 works uh over the next you know 1 to 10 years years years >> and if uh we totally butch the name >> and if uh we totally butch the name >> and if uh we totally butch the name botched the name so if we did whatever botched the name so if we did whatever botched the name so if we did whatever but the GitHub founders or GitLab but the GitHub founders or GitLab but the GitHub founders or GitLab founders butching up your company too if founders butching up your company too if founders butching up your company too if this makes it to you guys DM Sean or I this makes it to you guys DM Sean or I this makes it to you guys DM Sean or I because it would could be potentially because it would could be potentially because it would could be potentially fun if you want to talk about this on a fun if you want to talk about this on a fun if you want to talk about this on a podcast it would be actually fun to talk podcast it would be actually fun to talk podcast it would be actually fun to talk about that that that's actually super about that that that's actually super about that that that's actually super fascinating but it is crazy that this fascinating but it is crazy that this fascinating but it is crazy that this stuff still exists. Like when you think stuff still exists. Like when you think stuff still exists. Like when you think about like I remember when Livstrong about like I remember when Livstrong about like I remember when Livstrong came out and that was like okay someone came out and that was like okay someone came out and that was like okay someone famous finally has cancer when they were famous finally has cancer when they were famous finally has cancer when they were young. We're going to bring awareness to young. We're going to bring awareness to young. We're going to bring awareness to this thing and now when you think about this thing and now when you think about this thing and now when you think about all the billions and billions of dollars all the billions and billions of dollars all the billions and billions of dollars I think um what's her name that Kate I think um what's her name that Kate I think um what's her name that Kate Middleton had it like it is kind of Middleton had it like it is kind of Middleton had it like it is kind of crazy how like this still exists the way crazy how like this still exists the way crazy how like this still exists the way it does. it does. it does. >> Yeah. Yeah. They just needed you know >> Yeah. Yeah. They just needed you know >> Yeah. Yeah. They just needed you know you needed the technology and then you you needed the technology and then you you needed the technology and then you needed the the um sort of the the will. needed the the um sort of the the will. needed the the um sort of the the will. Here's another thing that makes me Here's another thing that makes me Here's another thing that makes me hopeful. So Nat, who I think you know hopeful. So Nat, who I think you know hopeful. So Nat, who I think you know Nat well Nat well Nat well >> good buddies with Nat. >> good buddies with Nat. >> good buddies with Nat. >> So he just tweeted out this really >> So he just tweeted out this really >> So he just tweeted out this really interesting thing. He goes, "Make 1 interesting thing. He goes, "Make 1 interesting thing. He goes, "Make 1 million by graduation or get 100% of million by graduation or get 100% of million by graduation or get 100% of your tuition refunded." That's the your tuition refunded." That's the your tuition refunded." That's the premise of the new high school for premise of the new high school for premise of the new high school for entrepreneurs that Cameron and I are entrepreneurs that Cameron and I are entrepreneurs that Cameron and I are launching this fall through Alpha launching this fall through Alpha launching this fall through Alpha School. We need two or three coaches to School. We need two or three coaches to School. We need two or three coaches to make this happen. So, the premise is make this happen. So, the premise is make this happen. So, the premise is they're creating a new high school using they're creating a new high school using they're creating a new high school using alpha schools technology, which we've alpha schools technology, which we've alpha schools technology, which we've talked about before, the AI education talked about before, the AI education talked about before, the AI education software that um Joe Lamont has put a software that um Joe Lamont has put a software that um Joe Lamont has put a billion dollars into building that is uh billion dollars into building that is uh billion dollars into building that is uh getting tons and tons of buzz getting tons and tons of buzz getting tons and tons of buzz everywhere. So, now they're doing a high everywhere. So, now they're doing a high everywhere. So, now they're doing a high school based off of it. And the idea is school based off of it. And the idea is school based off of it. And the idea is is almost like incredibly incentive is almost like incredibly incentive is almost like incredibly incentive aligned. Uh almost maybe too incentive aligned. Uh almost maybe too incentive aligned. Uh almost maybe too incentive aligned. aligned. aligned. >> I think it's too aligned. >> I think it's too aligned. >> I think it's too aligned. >> Two aligned. make a make a million >> Two aligned. make a make a million >> Two aligned. make a make a million dollars by high school graduation or dollars by high school graduation or dollars by high school graduation or your tuition was free. I think alpha your tuition was free. I think alpha your tuition was free. I think alpha school is like 70 or 80k a year the the school is like 70 or 80k a year the the school is like 70 or 80k a year the the like kids version that that's in Austin. like kids version that that's in Austin. like kids version that that's in Austin. Um so you know this is a a pretty big Um so you know this is a a pretty big Um so you know this is a a pretty big bet that they're making. This is crazy. bet that they're making. This is crazy. bet that they're making. This is crazy. Is this not like one of the crazier Is this not like one of the crazier Is this not like one of the crazier tweets? I thought that um so Hermoszi tweets? I thought that um so Hermoszi tweets? I thought that um so Hermoszi talks about nailing the nailing the talks about nailing the nailing the talks about nailing the nailing the offer. offer. offer. >> Well, he says an offer you you know um >> Well, he says an offer you you know um >> Well, he says an offer you you know um they'd be stupid to say they they'd be they'd be stupid to say they they'd be they'd be stupid to say they they'd be stupid to say no to, right? Like it stupid to say no to, right? Like it stupid to say no to, right? Like it would be dumb for me to turn down this would be dumb for me to turn down this would be dumb for me to turn down this offer. offer. offer. >> And if you are the type of person where >> And if you are the type of person where >> And if you are the type of person where this idea tickles your fancy where you this idea tickles your fancy where you this idea tickles your fancy where you want your kid to like build something, want your kid to like build something, want your kid to like build something, this is the greatest offer of all time. this is the greatest offer of all time. this is the greatest offer of all time. >> I I mean it's crazy. Do you think this >> I I mean it's crazy. Do you think this >> I I mean it's crazy. Do you think this is even I mean like are we just old guys is even I mean like are we just old guys is even I mean like are we just old guys who are not up with the times that like who are not up with the times that like who are not up with the times that like is this really possible? is this really possible? is this really possible? high school. So, high school, you're 14 high school. So, high school, you're 14 high school. So, high school, you're 14 to 18 years old. So, if I gave even the to 18 years old. So, if I gave even the to 18 years old. So, if I gave even the most switched on 14 to 18 year olds and most switched on 14 to 18 year olds and most switched on 14 to 18 year olds and if I was just coaching them every single if I was just coaching them every single if I was just coaching them every single day, day, day, >> let's say I had let's say that me and >> let's say I had let's say that me and >> let's say I had let's say that me and you had 20 high schoolers. you had 20 high schoolers. you had 20 high schoolers. >> So, he asked your coach >> So, he asked your coach >> So, he asked your coach >> every day we were their coach. Let's >> every day we were their coach. Let's >> every day we were their coach. Let's just pretend that that was true. How just pretend that that was true. How just pretend that that was true. How many of the 20 do you think we could get many of the 20 do you think we could get many of the 20 do you think we could get to make a million dollars over the to make a million dollars over the to make a million dollars over the four-year period? It's not zero, but four-year period? It's not zero, but four-year period? It's not zero, but it's also not 20. What do you think that it's also not 20. What do you think that it's also not 20. What do you think that number is? one four years. Uh number is? one four years. Uh number is? one four years. Uh >> four years is a kind of a long time >> four years is a kind of a long time >> four years is a kind of a long time actually. actually. actually. >> Four years actually most I think most >> Four years actually most I think most >> Four years actually most I think most >> right >> right >> right >> well like in revenue like like like we >> well like in revenue like like like we >> well like in revenue like like like we could create some type of app that buys could create some type of app that buys could create some type of app that buys ads to grow and is not losing money. I ads to grow and is not losing money. I ads to grow and is not losing money. I feel confident that I could do that half feel confident that I could do that half feel confident that I could do that half the time. I'm going to use the the time. I'm going to use the the time. I'm going to use the assumptions of there's no external assumptions of there's no external assumptions of there's no external funding that we give where they can go funding that we give where they can go funding that we give where they can go raise money if they want, but uh we raise money if they want, but uh we raise money if they want, but uh we can't give them the money and that it's can't give them the money and that it's can't give them the money and that it's not a million dollars of revenue. Maybe not a million dollars of revenue. Maybe not a million dollars of revenue. Maybe is this is that what he meant by make 1 is this is that what he meant by make 1 is this is that what he meant by make 1 million or did he mean million or did he mean million or did he mean >> if it's revenue then then that's quite a >> if it's revenue then then that's quite a >> if it's revenue then then that's quite a high chance I could do that a lot of the high chance I could do that a lot of the high chance I could do that a lot of the time. If it's profit that's much much time. If it's profit that's much much time. If it's profit that's much much harder, harder, harder, >> right? If it was profit I think we could >> right? If it was profit I think we could >> right? If it was profit I think we could probably get probably get probably get five out of 20 in a four-year period. I five out of 20 in a four-year period. I five out of 20 in a four-year period. I I would guess that we'd have some kind I would guess that we'd have some kind I would guess that we'd have some kind of hit rate around, you know, 20 25%. of hit rate around, you know, 20 25%. of hit rate around, you know, 20 25%. >> It's pretty magical. So, let's talk >> It's pretty magical. So, let's talk >> It's pretty magical. So, let's talk about why we said it's two align. We about why we said it's two align. We about why we said it's two align. We were joking. I think that this is really were joking. I think that this is really were joking. I think that this is really good for a very particular type of good for a very particular type of good for a very particular type of person, but I do think that optimizing person, but I do think that optimizing person, but I do think that optimizing towards entrepreneurship for everyone in towards entrepreneurship for everyone in towards entrepreneurship for everyone in glorifying I think it's over being glorifying I think it's over being glorifying I think it's over being overlor glorified. I think that's wrong. overlor glorified. I think that's wrong. overlor glorified. I think that's wrong. I don't think that it should be that way I don't think that it should be that way I don't think that it should be that way for everyone. I think it should be for a for everyone. I think it should be for a for everyone. I think it should be for a small amount of people that interest small amount of people that interest small amount of people that interest you. Just like saying that we should get you. Just like saying that we should get you. Just like saying that we should get everyone to play music. We should get everyone to play music. We should get everyone to play music. We should get everyone to be play sports. We should everyone to be play sports. We should everyone to be play sports. We should get everyone to be good at accounting. get everyone to be good at accounting. get everyone to be good at accounting. And so I think that this is a bit I'm And so I think that this is a bit I'm And so I think that this is a bit I'm not criticizing these guys because not criticizing these guys because not criticizing these guys because they're saying for those interested in they're saying for those interested in they're saying for those interested in this, this is the offer. I don't think this, this is the offer. I don't think this, this is the offer. I don't think that this is should should be the that this is should should be the that this is should should be the default for all high schools. default for all high schools. default for all high schools. >> Oh, you feel like in general the >> Oh, you feel like in general the >> Oh, you feel like in general the everybody's got to get on their everybody's got to get on their everybody's got to get on their entrepreneurial grind is I think that's entrepreneurial grind is I think that's entrepreneurial grind is I think that's not the right message cuz obviously not not the right message cuz obviously not not the right message cuz obviously not everybody needs to get on their everybody needs to get on their everybody needs to get on their entrepreneurial grind. entrepreneurial grind. entrepreneurial grind. >> Yeah. I I just don't think that's >> Yeah. I I just don't think that's >> Yeah. I I just don't think that's necessary. What What were you What were necessary. What What were you What were necessary. What What were you What were you saying? I was saying it's too you saying? I was saying it's too you saying? I was saying it's too aligned as in you didn't need to make it aligned as in you didn't need to make it aligned as in you didn't need to make it a million. You could have got you could a million. You could have got you could a million. You could have got you could have uh you know what's the real thing have uh you know what's the real thing have uh you know what's the real thing basically? I would say um if you did a h basically? I would say um if you did a h basically? I would say um if you did a h 100,000 this would have been I mean that 100,000 this would have been I mean that 100,000 this would have been I mean that would still be incredibly successful would still be incredibly successful would still be incredibly successful right? If you can make make 100 grand or right? If you can make make 100 grand or right? If you can make make 100 grand or 150 grand or something like that. But of 150 grand or something like that. But of 150 grand or something like that. But of course that's not the marketing message course that's not the marketing message course that's not the marketing message that would stick. The reason this got that would stick. The reason this got that would stick. The reason this got onto the show today is cuz he's had a onto the show today is cuz he's had a onto the show today is cuz he's had a million. So, in that sense, it's the million. So, in that sense, it's the million. So, in that sense, it's the absolute right number to choose a uh if absolute right number to choose a uh if absolute right number to choose a uh if nothing else, it is a PR offer. And um nothing else, it is a PR offer. And um nothing else, it is a PR offer. And um you know, I don't know. I don't know you know, I don't know. I don't know you know, I don't know. I don't know what that does to the business if that what that does to the business if that what that does to the business if that distorts things long term, but like in distorts things long term, but like in distorts things long term, but like in the short term, you get the big benefit the short term, you get the big benefit the short term, you get the big benefit of putting something out there that is of putting something out there that is of putting something out there that is buzzworthy. It's like when Peter Teal buzzworthy. It's like when Peter Teal buzzworthy. It's like when Peter Teal did the Teal Fellowship and I think what did the Teal Fellowship and I think what did the Teal Fellowship and I think what he did was I think he only spent $2 he did was I think he only spent $2 he did was I think he only spent $2 million out of pocket to do the Teal million out of pocket to do the Teal million out of pocket to do the Teal Fellowship, which $2 million is not Fellowship, which $2 million is not Fellowship, which $2 million is not nothing, but in the world of nothing, but in the world of nothing, but in the world of billionaires giving money for for billionaires giving money for for billionaires giving money for for causes, there's plenty of people who causes, there's plenty of people who causes, there's plenty of people who write bigger checks than that. So why write bigger checks than that. So why write bigger checks than that. So why did the Teal Fellowship get so much did the Teal Fellowship get so much did the Teal Fellowship get so much notoriety is because he attached it to a notoriety is because he attached it to a notoriety is because he attached it to a very spiky message. And the spiky very spiky message. And the spiky very spiky message. And the spiky message was universities are a bubble. message was universities are a bubble. message was universities are a bubble. And like the housing bubble and other And like the housing bubble and other And like the housing bubble and other bubbles, it's uh it's a bubble because bubbles, it's uh it's a bubble because bubbles, it's uh it's a bubble because nobody else thinks it's a bubble. You nobody else thinks it's a bubble. You nobody else thinks it's a bubble. You know, that's the only way you get to be know, that's the only way you get to be know, that's the only way you get to be a big bubble is when everybody sort of a big bubble is when everybody sort of a big bubble is when everybody sort of assumes education's great. How could you assumes education's great. How could you assumes education's great. How could you you can't criticize education. Housing's you can't criticize education. Housing's you can't criticize education. Housing's great. Everybody should own a home. You great. Everybody should own a home. You great. Everybody should own a home. You can't criticize that. And um what he can't criticize that. And um what he can't criticize that. And um what he said was not just I'll give this to said was not just I'll give this to said was not just I'll give this to people who have good ideas, but I'll pay people who have good ideas, but I'll pay people who have good ideas, but I'll pay you to drop out of college. literally you to drop out of college. literally you to drop out of college. literally the opposite of, "Hey kid, stay in the opposite of, "Hey kid, stay in the opposite of, "Hey kid, stay in school." Right? The the old message school." Right? The the old message school." Right? The the old message you're supposed to say. And because it you're supposed to say. And because it you're supposed to say. And because it was so spiky, he got tons and tons of was so spiky, he got tons and tons of was so spiky, he got tons and tons of notoriety because he got tons and tons notoriety because he got tons and tons notoriety because he got tons and tons of notoriety. He attracted the right of notoriety. He attracted the right of notoriety. He attracted the right people cuz the message got far enough people cuz the message got far enough people cuz the message got far enough where those like, you know, the Vitalic where those like, you know, the Vitalic where those like, you know, the Vitalic Buterans of the world, the Dylan Dillons Buterans of the world, the Dylan Dillons Buterans of the world, the Dylan Dillons of the world who create Figma, they of the world who create Figma, they of the world who create Figma, they heard the message and were able to apply heard the message and were able to apply heard the message and were able to apply for the Teal Fellowship and and came in for the Teal Fellowship and and came in for the Teal Fellowship and and came in and made it happen. And so I think maybe and made it happen. And so I think maybe and made it happen. And so I think maybe this this might be the right approach this this might be the right approach this this might be the right approach like the X-P prize where you have to do like the X-P prize where you have to do like the X-P prize where you have to do something novel and and noteworthy and something novel and and noteworthy and something novel and and noteworthy and almost polarizing in order to make it almost polarizing in order to make it almost polarizing in order to make it work. work. work. >> So let me tell you a quick story. So on >> So let me tell you a quick story. So on >> So let me tell you a quick story. So on Friday I went to Austin Reef's house for Friday I went to Austin Reef's house for Friday I went to Austin Reef's house for dinner and we or he had over these eight dinner and we or he had over these eight dinner and we or he had over these eight young guys and I posted a link to who young guys and I posted a link to who young guys and I posted a link to who they are in Slack. And so if you uh look they are in Slack. And so if you uh look they are in Slack. And so if you uh look this up, so the New York Post just did this up, so the New York Post just did this up, so the New York Post just did an article on these guys 5 days ago and an article on these guys 5 days ago and an article on these guys 5 days ago and it says these Gen Z digital moguls are it says these Gen Z digital moguls are it says these Gen Z digital moguls are building sevenfigure companies while building sevenfigure companies while building sevenfigure companies while lifting weights. So uh it's basically I lifting weights. So uh it's basically I lifting weights. So uh it's basically I met these guys in Hampton and I met them met these guys in Hampton and I met them met these guys in Hampton and I met them and I was like Austin you got to meet and I was like Austin you got to meet and I was like Austin you got to meet these guys. This is incredible. So we these guys. This is incredible. So we these guys. This is incredible. So we talked about Josh. That's a guy Josh. So talked about Josh. That's a guy Josh. So talked about Josh. That's a guy Josh. So Josh, we talked about him. He has that Josh, we talked about him. He has that Josh, we talked about him. He has that company called Street Talk. You might company called Street Talk. You might company called Street Talk. You might know Oliver. Do you know Oliver? He had know Oliver. Do you know Oliver? He had know Oliver. Do you know Oliver? He had the company called the company called the company called >> Yeah. He had the tab chocolate thing. >> Yeah. He had the tab chocolate thing. >> Yeah. He had the tab chocolate thing. Now he's doing a thing. And that's Now he's doing a thing. And that's Now he's doing a thing. And that's Sheamus. Sheamus. Sheamus. >> This is like a boy band that you're >> This is like a boy band that you're >> This is like a boy band that you're talking about like talking about like talking about like Joey's cute Sheamus has highlights and Joey's cute Sheamus has highlights and Joey's cute Sheamus has highlights and then like you know Brandon is dating then like you know Brandon is dating then like you know Brandon is dating Rebecca. Like what's going on here? Rebecca. Like what's going on here? Rebecca. Like what's going on here? >> So listen it was these eight guys. They >> So listen it was these eight guys. They >> So listen it was these eight guys. They are all the eldest one was Oliver and he are all the eldest one was Oliver and he are all the eldest one was Oliver and he was 25 I believe and they're all these was 25 I believe and they're all these was 25 I believe and they're all these young guys who share an office and they young guys who share an office and they young guys who share an office and they all all started companies. One of them all all started companies. One of them all all started companies. One of them was this guy named Victor. was this guy named Victor. was this guy named Victor. >> That literally looks like Elon Musk like >> That literally looks like Elon Musk like >> That literally looks like Elon Musk like young Elon Musk. young Elon Musk. young Elon Musk. >> One of them. >> One of them. >> One of them. >> Yeah. He kind of talks like him, too. >> Yeah. He kind of talks like him, too. >> Yeah. He kind of talks like him, too. One of them raised $140 million for One of them raised $140 million for One of them raised $140 million for their company. And anyway, it's these their company. And anyway, it's these their company. And anyway, it's these all these young guys. And I we had them all these young guys. And I we had them all these young guys. And I we had them all at dinner. And I was like, I don't all at dinner. And I was like, I don't all at dinner. And I was like, I don't want to sound like an old creepy guy, want to sound like an old creepy guy, want to sound like an old creepy guy, but you guys are so young. Like, can you but you guys are so young. Like, can you but you guys are so young. Like, can you tell me everything that like 21-year-old tell me everything that like 21-year-old tell me everything that like 21-year-old entrepreneurs are into? Because when I entrepreneurs are into? Because when I entrepreneurs are into? Because when I was 21 and I left school to move to San was 21 and I left school to move to San was 21 and I left school to move to San Francisco, I was a freak among freaks. Francisco, I was a freak among freaks. Francisco, I was a freak among freaks. And this seems like you guys are way And this seems like you guys are way And this seems like you guys are way normal for how successful you are. normal for how successful you are. normal for how successful you are. >> You might not want to call yourself the >> You might not want to call yourself the >> You might not want to call yourself the freak amongst freaks. It's just freak amongst freaks. It's just freak amongst freaks. It's just generally generally generally >> as we're talking about eight young men >> as we're talking about eight young men >> as we're talking about eight young men you had over for dinner. you had over for dinner. you had over for dinner. >> Yeah. if we get a little Epstein. Um, >> Yeah. if we get a little Epstein. Um, >> Yeah. if we get a little Epstein. Um, and so thank god my wife was there and and so thank god my wife was there and and so thank god my wife was there and you kind of get away with a lot when you kind of get away with a lot when you kind of get away with a lot when she's there. But, uh, they were saying she's there. But, uh, they were saying she's there. But, uh, they were saying that they're like, "Dude, we are like that they're like, "Dude, we are like that they're like, "Dude, we are like killing it for how young we are. The killing it for how young we are. The killing it for how young we are. The 13-year-olds are now coming after us." 13-year-olds are now coming after us." 13-year-olds are now coming after us." They're like, "The way that they're They're like, "The way that they're They're like, "The way that they're like, the way that you are talking to like, the way that you are talking to like, the way that you are talking to us, like you're in awe of how young and us, like you're in awe of how young and us, like you're in awe of how young and successful we are, we feel that way with successful we are, we feel that way with successful we are, we feel that way with 13 and 14y olds." He said, "There's so 13 and 14y olds." He said, "There's so 13 and 14y olds." He said, "There's so many 13 and 14y olds that we know who we many 13 and 14y olds that we know who we many 13 and 14y olds that we know who we know who are building stuff that is know who are building stuff that is know who are building stuff that is going to be way better than us." It's going to be way better than us." It's going to be way better than us." It's just crazy how young these guys are who just crazy how young these guys are who just crazy how young these guys are who are building amazing things. I mean, we are building amazing things. I mean, we are building amazing things. I mean, we had Zack Zack on from Calai. You sold had Zack Zack on from Calai. You sold had Zack Zack on from Calai. You sold this company for tens orund or hundred this company for tens orund or hundred this company for tens orund or hundred million dollars at the age of 20, I million dollars at the age of 20, I million dollars at the age of 20, I think. Uh 19 uh like there's a whole think. Uh 19 uh like there's a whole think. Uh 19 uh like there's a whole generation of these kids. It's just generation of these kids. It's just generation of these kids. It's just absolutely amazing. Before it was absolutely amazing. Before it was absolutely amazing. Before it was college drop. college drop. college drop. >> We made up that number by the way. He >> We made up that number by the way. He >> We made up that number by the way. He didn't tell us 100 million. didn't tell us 100 million. didn't tell us 100 million. >> I'm making Yeah. Sorry. That was that's >> I'm making Yeah. Sorry. That was that's >> I'm making Yeah. Sorry. That was that's pres um yeah those are some but this pres um yeah those are some but this pres um yeah those are some but this line dude is so funny we talk about the line dude is so funny we talk about the line dude is so funny we talk about the problems we're facing hiring scaling problems we're facing hiring scaling problems we're facing hiring scaling girls told us your typical 20 girls told us your typical 20 girls told us your typical 20 20-year-old dude stuff 20-year-old dude stuff 20-year-old dude stuff is the new gym tan laundry hiring is the new gym tan laundry hiring is the new gym tan laundry hiring scaling girls >> it's just like crazy have you noticed >> it's just like crazy have you noticed how young some successful entrepreneurs how young some successful entrepreneurs how young some successful entrepreneurs are right now before it was like uh you are right now before it was like uh you are right now before it was like uh you know the very very rare college dropout know the very very rare college dropout know the very very rare college dropout Zuckerberg style person and that was Zuckerberg style person and that was Zuckerberg style person and that was like a one of one in a million. Now it like a one of one in a million. Now it like a one of one in a million. Now it seems way more common. seems way more common. seems way more common. >> Yeah, I told you dude. I feel like the >> Yeah, I told you dude. I feel like the >> Yeah, I told you dude. I feel like the guy who um is the horsedrawn carriage guy who um is the horsedrawn carriage guy who um is the horsedrawn carriage guy and I've been I've been driving this guy and I've been I've been driving this guy and I've been I've been driving this route for for 10 years and it's it's a route for for 10 years and it's it's a route for for 10 years and it's it's a good thing. And I standing on the side good thing. And I standing on the side good thing. And I standing on the side of the road next to my horse and then a of the road next to my horse and then a of the road next to my horse and then a Tesla Roadster zooms by and I'm just Tesla Roadster zooms by and I'm just Tesla Roadster zooms by and I'm just like what the hell was that? And that's like what the hell was that? And that's like what the hell was that? And that's how I feel when I see, hear, and talk to how I feel when I see, hear, and talk to how I feel when I see, hear, and talk to some of the young inspiring founders and some of the young inspiring founders and some of the young inspiring founders and guys who are doing content, guys who are guys who are doing content, guys who are guys who are doing content, guys who are doing ecom, guys who are doing AI, like doing ecom, guys who are doing AI, like doing ecom, guys who are doing AI, like there's so much energy, enthusiasm, there's so much energy, enthusiasm, there's so much energy, enthusiasm, excitement, and talent that I feel like excitement, and talent that I feel like excitement, and talent that I feel like is unleashed. And you know, the the by is unleashed. And you know, the the by is unleashed. And you know, the the by the way, the reason why to me is like the way, the reason why to me is like the way, the reason why to me is like pretty obvious. Uh the information is pretty obvious. Uh the information is pretty obvious. Uh the information is out there and we're all mimedic out there and we're all mimedic out there and we're all mimedic creatures. So, in the same way that like creatures. So, in the same way that like creatures. So, in the same way that like you know uh I'll go to my kids school you know uh I'll go to my kids school you know uh I'll go to my kids school function and like half the moms there function and like half the moms there function and like half the moms there have like lip filler and Botox and [ __ ] have like lip filler and Botox and [ __ ] have like lip filler and Botox and [ __ ] like that and you know why? Because like that and you know why? Because like that and you know why? Because that's become normalized and they've that's become normalized and they've that's become normalized and they've seen it everywhere right on Instagram seen it everywhere right on Instagram seen it everywhere right on Instagram and whether it's you know you know and whether it's you know you know and whether it's you know you know reality TV shows or whatever it becomes reality TV shows or whatever it becomes reality TV shows or whatever it becomes normalized it becomes you see it once normalized it becomes you see it once normalized it becomes you see it once twice three times four times five times twice three times four times five times twice three times four times five times it starts to become a a thing that feels it starts to become a a thing that feels it starts to become a a thing that feels normal and accessible to you. Well, like normal and accessible to you. Well, like normal and accessible to you. Well, like when we were growing up, there was no when we were growing up, there was no when we were growing up, there was no Twitter, right? So, you didn't have act Twitter, right? So, you didn't have act Twitter, right? So, you didn't have act I didn't have access. I never even saw I I didn't have access. I never even saw I I didn't have access. I never even saw I didn't even know like I don't think didn't even know like I don't think didn't even know like I don't think until I was maybe 18 years old did I until I was maybe 18 years old did I until I was maybe 18 years old did I even know an entrepreneur like I even know an entrepreneur like I even know an entrepreneur like I actually had met an entrepreneur who actually had met an entrepreneur who actually had met an entrepreneur who told me that oh I have this business and told me that oh I have this business and told me that oh I have this business and here's like how it works. I never here's like how it works. I never here's like how it works. I never listened to a podcast about listened to a podcast about listened to a podcast about entrepreneurship. I I never watched a entrepreneurship. I I never watched a entrepreneurship. I I never watched a YouTube video. There were I don't even YouTube video. There were I don't even YouTube video. There were I don't even know there were podcasts when we were know there were podcasts when we were know there were podcasts when we were 14, right? I don't think there were. And 14, right? I don't think there were. And 14, right? I don't think there were. And so it's like when we were 13, 14, 15, so it's like when we were 13, 14, 15, so it's like when we were 13, 14, 15, 16, right? a pretty formative age, like 16, right? a pretty formative age, like 16, right? a pretty formative age, like the only thing I had exposure to was the only thing I had exposure to was the only thing I had exposure to was basically like the NBA or skateboarding basically like the NBA or skateboarding basically like the NBA or skateboarding or like you know these that was what was or like you know these that was what was or like you know these that was what was the cool thing that you could go try to the cool thing that you could go try to the cool thing that you could go try to model and emulate outside, right? Or model and emulate outside, right? Or model and emulate outside, right? Or during your summers or during your when during your summers or during your when during your summers or during your when you got home from school and like I feel you got home from school and like I feel you got home from school and like I feel like today if you go home you have like today if you go home you have like today if you go home you have access to Twitter, you have access to access to Twitter, you have access to access to Twitter, you have access to Tik Tok, you have access to Instagram, Tik Tok, you have access to Instagram, Tik Tok, you have access to Instagram, you have access to YouTube and on those you have access to YouTube and on those you have access to YouTube and on those platforms you can get into any rabbit platforms you can get into any rabbit platforms you can get into any rabbit hole into any niche that you want. And hole into any niche that you want. And hole into any niche that you want. And the people who stumble into the kind of the people who stumble into the kind of the people who stumble into the kind of like tech Elon Musk bubble, right, like tech Elon Musk bubble, right, like tech Elon Musk bubble, right, they're going to see this. It's gonna they're going to see this. It's gonna they're going to see this. It's gonna become normal to them. The idea that you become normal to them. The idea that you become normal to them. The idea that you can make millions of dollars. People who can make millions of dollars. People who can make millions of dollars. People who listen to the podcast where we did with listen to the podcast where we did with listen to the podcast where we did with Zach where it's like, "Oh, here's this Zach where it's like, "Oh, here's this Zach where it's like, "Oh, here's this 19-year-old kid who just sold his 19-year-old kid who just sold his 19-year-old kid who just sold his company that was doing 30 million, you company that was doing 30 million, you company that was doing 30 million, you know, in ARR, that now becomes know, in ARR, that now becomes know, in ARR, that now becomes normalized for a huge generation of normalized for a huge generation of normalized for a huge generation of people who are then going to do their people who are then going to do their people who are then going to do their own version of that. We didn't uh have own version of that. We didn't uh have own version of that. We didn't uh have that that advantage. So, I don't think that that advantage. So, I don't think that that advantage. So, I don't think the human species evolves that fast. But the human species evolves that fast. But the human species evolves that fast. But I do think if you give it new training I do think if you give it new training I do think if you give it new training data, if you give it new like stuff to data, if you give it new like stuff to data, if you give it new like stuff to uh to to be a mime about and just copy, uh to to be a mime about and just copy, uh to to be a mime about and just copy, they will do pretty well. they will do pretty well. they will do pretty well. >> They were talking about like dating and >> They were talking about like dating and >> They were talking about like dating and I referenced the book The Game and they I referenced the book The Game and they I referenced the book The Game and they were like, "What's the game?" And I was were like, "What's the game?" And I was were like, "What's the game?" And I was like, "Come here, son. like, "Come here, son. like, "Come here, son. >> It's called The Old Testament." Yeah. >> It's called The Old Testament." Yeah. >> It's called The Old Testament." Yeah. >> Come here, boy. Have a seat. >> Come here, boy. Have a seat. >> Come here, boy. Have a seat. >> Sit on my lap. >> Sit on my lap. >> Sit on my lap. >> All right. What's the next one? >> All right. What's the next one? >> All right. What's the next one? All right. Uh, I don't know if you saw All right. Uh, I don't know if you saw All right. Uh, I don't know if you saw this. Pokémon Go as one of the the great this. Pokémon Go as one of the the great this. Pokémon Go as one of the the great pivots of all time. Did you see the pivots of all time. Did you see the pivots of all time. Did you see the story? story? story? >> I did not. >> I did not. >> I did not. >> All right. So, if you remember Pokémon >> All right. So, if you remember Pokémon >> All right. So, if you remember Pokémon Go was like the hit game. I don't know Go was like the hit game. I don't know Go was like the hit game. I don't know when this was like when this was like when this was like >> like 19 or 20. >> like 19 or 20. >> like 19 or 20. >> Yeah. Like, you know, 7 years ago or >> Yeah. Like, you know, 7 years ago or >> Yeah. Like, you know, 7 years ago or something like that. It was a huge deal something like that. It was a huge deal something like that. It was a huge deal that people, it was this new style of that people, it was this new style of that people, it was this new style of game. You would take out your phone and game. You would take out your phone and game. You would take out your phone and your phone would just be on like kind of your phone would just be on like kind of your phone would just be on like kind of camera mode. You'd walk around a city camera mode. You'd walk around a city camera mode. You'd walk around a city and then you would like discover a and then you would like discover a and then you would like discover a Pokemon. it would show up like using Pokemon. it would show up like using Pokemon. it would show up like using like u like the kind of they would like u like the kind of they would like u like the kind of they would overlay the little Pokemon on on top of overlay the little Pokemon on on top of overlay the little Pokemon on on top of like the street where you were standing. like the street where you were standing. like the street where you were standing. All right, cool. So, that became like a All right, cool. So, that became like a All right, cool. So, that became like a kind of like a$1 to2 billion dollar kind of like a$1 to2 billion dollar kind of like a$1 to2 billion dollar game. I think they sold the game for 2 game. I think they sold the game for 2 game. I think they sold the game for 2 or 3 billion. Um cuz it, you know, had or 3 billion. Um cuz it, you know, had or 3 billion. Um cuz it, you know, had this huge hype cycle, then it kind of this huge hype cycle, then it kind of this huge hype cycle, then it kind of died down. Well, there's this really died down. Well, there's this really died down. Well, there's this really interesting story about the fact that interesting story about the fact that interesting story about the fact that they're now they now they sold the game, they're now they now they sold the game, they're now they now they sold the game, but they kept all of the photos, the but they kept all of the photos, the but they kept all of the photos, the videos. And so what that means is like videos. And so what that means is like videos. And so what that means is like they had, you know, I don't know what they had, you know, I don't know what they had, you know, I don't know what 100 100 million players or something 100 100 million players or something 100 100 million players or something like that walking around every city in like that walking around every city in like that walking around every city in the world with their phone out capturing the world with their phone out capturing the world with their phone out capturing what the street looks like. And if you what the street looks like. And if you what the street looks like. And if you think about it, that's actually really think about it, that's actually really think about it, that's actually really valuable data for AI that wants to do valuable data for AI that wants to do valuable data for AI that wants to do not self-driving, but like self-d not self-driving, but like self-d not self-driving, but like self-d delivery, right? So like delivery bots delivery, right? So like delivery bots delivery, right? So like delivery bots that are going to go on sidewalks in that are going to go on sidewalks in that are going to go on sidewalks in through neighborhoods or down city through neighborhoods or down city through neighborhoods or down city streets and have to deliver something. streets and have to deliver something. streets and have to deliver something. Well, they need to recognize where am I? Well, they need to recognize where am I? Well, they need to recognize where am I? What does this look like? what is the What does this look like? what is the What does this look like? what is the terrain, how does this work, etc. And so terrain, how does this work, etc. And so terrain, how does this work, etc. And so they took that data and they're they took that data and they're they took that data and they're licensing it out to all these AI licensing it out to all these AI licensing it out to all these AI companies now because they're the only companies now because they're the only companies now because they're the only ones in the world who have this data. ones in the world who have this data. ones in the world who have this data. And like you've heard this kind of like And like you've heard this kind of like And like you've heard this kind of like data is the new oil. That's a little data is the new oil. That's a little data is the new oil. That's a little misleading because there's there's like misleading because there's there's like misleading because there's there's like there's just oil with data. There's like there's just oil with data. There's like there's just oil with data. There's like very specific like niche types of data. very specific like niche types of data. very specific like niche types of data. And so you might have like a specific And so you might have like a specific And so you might have like a specific type of oil that nobody else has. And type of oil that nobody else has. And type of oil that nobody else has. And Pokémon Go, the company behind it, Pokémon Go, the company behind it, Pokémon Go, the company behind it, Niantic, has that data for real world Niantic, has that data for real world Niantic, has that data for real world behavior. Like if you if you've ever behavior. Like if you if you've ever behavior. Like if you if you've ever seen like uh the Google Street View seen like uh the Google Street View seen like uh the Google Street View thing, right? Like Google would send out thing, right? Like Google would send out thing, right? Like Google would send out a car with a camera that's rotating on a car with a camera that's rotating on a car with a camera that's rotating on top taking pictures of of everything top taking pictures of of everything top taking pictures of of everything around it. And they would literally around it. And they would literally around it. And they would literally drive every street in the world drive every street in the world drive every street in the world essentially was the was the game plan essentially was the was the game plan essentially was the was the game plan with Google Street View. And they do it. with Google Street View. And they do it. with Google Street View. And they do it. They did it every like 10 years. Side They did it every like 10 years. Side They did it every like 10 years. Side note, one drove by my house the other note, one drove by my house the other note, one drove by my house the other day and I got so excited and I went out day and I got so excited and I went out day and I got so excited and I went out and I flashed it and I was like, "Yes, and I flashed it and I was like, "Yes, and I flashed it and I was like, "Yes, that's internet history, baby. That's that's internet history, baby. That's that's internet history, baby. That's for the next 10 years. If anyone ever for the next 10 years. If anyone ever for the next 10 years. If anyone ever looks up this property, they're going to looks up this property, they're going to looks up this property, they're going to see my hairy belly out there." I did see my hairy belly out there." I did see my hairy belly out there." I did that [ __ ] that [ __ ] that [ __ ] >> I couldn't think of what else to do. I >> I couldn't think of what else to do. I >> I couldn't think of what else to do. I knew it was a moment, knew it was a moment, knew it was a moment, but my brainstorm only had 15 seconds but my brainstorm only had 15 seconds but my brainstorm only had 15 seconds and I went Marty Gro on it instead of and I went Marty Gro on it instead of and I went Marty Gro on it instead of doing something. Bro, I uh I've hated doing something. Bro, I uh I've hated doing something. Bro, I uh I've hated the analogy of data as the new oil the analogy of data as the new oil the analogy of data as the new oil because for years and years, you know, because for years and years, you know, because for years and years, you know, people have said this for years, but people have said this for years, but people have said this for years, but there was no use for it. And actually, there was no use for it. And actually, there was no use for it. And actually, it's actually kind of a good analogy. it's actually kind of a good analogy. it's actually kind of a good analogy. Did you know that um the oil industry Did you know that um the oil industry Did you know that um the oil industry existed, you know, John Rockefeller existed, you know, John Rockefeller existed, you know, John Rockefeller started Standard Oil like in the 1880s, started Standard Oil like in the 1880s, started Standard Oil like in the 1880s, but cars weren't invented really until but cars weren't invented really until but cars weren't invented really until like 1915, 1918, and they didn't really like 1915, 1918, and they didn't really like 1915, 1918, and they didn't really get popular until like 1920. And so up get popular until like 1920. And so up get popular until like 1920. And so up to like 1915, what was what did they use to like 1915, what was what did they use to like 1915, what was what did they use oil for? Well, it was actually mostly oil for? Well, it was actually mostly oil for? Well, it was actually mostly kerosene. Uh, and so like street lamps, kerosene. Uh, and so like street lamps, kerosene. Uh, and so like street lamps, you would have someone go and like you would have someone go and like you would have someone go and like literally light the lamps in a city and literally light the lamps in a city and literally light the lamps in a city and that was enough to make the industry that was enough to make the industry that was enough to make the industry big. And then uh, you know, they were big. And then uh, you know, they were big. And then uh, you know, they were like doing it and killing it and killing like doing it and killing it and killing like doing it and killing it and killing it, killing it. Then Henry Ford created it, killing it. Then Henry Ford created it, killing it. Then Henry Ford created Ford and I think in 1914 the first model Ford and I think in 1914 the first model Ford and I think in 1914 the first model A uh, sorry, Model T, uh, came about and A uh, sorry, Model T, uh, came about and A uh, sorry, Model T, uh, came about and the oil industry exploded. and what is the oil industry exploded. and what is the oil industry exploded. and what is going on in some cases is kind of like going on in some cases is kind of like going on in some cases is kind of like that with AI where like there was data that with AI where like there was data that with AI where like there was data and like but data is a new oil but like and like but data is a new oil but like and like but data is a new oil but like there's no use case for this oil like there's no use case for this oil like there's no use case for this oil like yeah we maybe we think this is useful yeah we maybe we think this is useful yeah we maybe we think this is useful but what are we going to use it for now but what are we going to use it for now but what are we going to use it for now it's like they have finally found like a it's like they have finally found like a it's like they have finally found like a good place to actually put this oil good place to actually put this oil good place to actually put this oil >> yeah that makes a lot of sense and I >> yeah that makes a lot of sense and I >> yeah that makes a lot of sense and I feel like that's happened now with a few feel like that's happened now with a few feel like that's happened now with a few people they they woke up and they're people they they woke up and they're people they they woke up and they're like ah what's that under my back oh like ah what's that under my back oh like ah what's that under my back oh it's a lottery ticket and like you know it's a lottery ticket and like you know it's a lottery ticket and like you know that's basically what this is uh we that's basically what this is uh we that's basically what this is uh we talked about Handshake that company that talked about Handshake that company that talked about Handshake that company that was basically was basically was basically like a college student internship job like a college student internship job like a college student internship job board type of product. board type of product. board type of product. >> It was kind of dumb. >> It was kind of dumb. >> It was kind of dumb. >> Not not dumb necessarily, just not fine. >> Not not dumb necessarily, just not fine. >> Not not dumb necessarily, just not fine. >> Yeah, it was it was like not going to be >> Yeah, it was it was like not going to be >> Yeah, it was it was like not going to be the biggest thing in the world. It was the biggest thing in the world. It was the biggest thing in the world. It was is a useful thing, right? like college is a useful thing, right? like college is a useful thing, right? like college grads who want jobs and employers who grads who want jobs and employers who grads who want jobs and employers who want to hire like you know fresh college want to hire like you know fresh college want to hire like you know fresh college grads and then they real that they grads and then they real that they grads and then they real that they pivoted to basically training data where pivoted to basically training data where pivoted to basically training data where they were like oh we have all these they were like oh we have all these they were like oh we have all these students and whether it's you know students and whether it's you know students and whether it's you know different disciplines who all these AI different disciplines who all these AI different disciplines who all these AI labs want to pay to do curated uh labs want to pay to do curated uh labs want to pay to do curated uh training data so you know whether it's a training data so you know whether it's a training data so you know whether it's a here's here's math answers you tell me here's here's math answers you tell me here's here's math answers you tell me if if the math answers are good you if if the math answers are good you if if the math answers are good you label whether the answers were good you label whether the answers were good you label whether the answers were good you give sort of that uh expert feedback to give sort of that uh expert feedback to give sort of that uh expert feedback to it or it's labeling data that sort of it or it's labeling data that sort of it or it's labeling data that sort of thing like you know that was uh they thing like you know that was uh they thing like you know that was uh they sort of woke up and you know had a u a sort of woke up and you know had a u a sort of woke up and you know had a u a lottery ticket in their back I feel and lottery ticket in their back I feel and lottery ticket in their back I feel and and I and you know they had to identify and I and you know they had to identify and I and you know they had to identify it and they had to act on it for sure it and they had to act on it for sure it and they had to act on it for sure that's you know more credit to them but that's you know more credit to them but that's you know more credit to them but there's like a number of these companies there's like a number of these companies there's like a number of these companies that turns out were sitting you know that turns out were sitting you know that turns out were sitting you know it's like actually a better a better it's like actually a better a better it's like actually a better a better analogy is like the people who you know analogy is like the people who you know analogy is like the people who you know you buy a home and uh then you get a you buy a home and uh then you get a you buy a home and uh then you get a knock on the door and it's like turns knock on the door and it's like turns knock on the door and it's like turns out your home was built on top of like out your home was built on top of like out your home was built on top of like an old mineral reserve and you can get an old mineral reserve and you can get an old mineral reserve and you can get paid like far more than the sum of your paid like far more than the sum of your paid like far more than the sum of your home to just leave to just like to just home to just leave to just like to just home to just leave to just like to just let us bulldoze this home and and do let us bulldoze this home and and do let us bulldoze this home and and do this instead. And I feel like that's this instead. And I feel like that's this instead. And I feel like that's what's happening with a handful of what's happening with a handful of what's happening with a handful of companies right now because of their uh companies right now because of their uh companies right now because of their uh unique data sets. unique data sets. unique data sets. >> Yeah, I don't know if it's going to >> Yeah, I don't know if it's going to >> Yeah, I don't know if it's going to happen to a lot, but it definitely is a happen to a lot, but it definitely is a happen to a lot, but it definitely is a good example of this happening in a good example of this happening in a good example of this happening in a wonderful way. What's the next one? wonderful way. What's the next one? wonderful way. What's the next one? >> I don't have much to say about this. Guy >> I don't have much to say about this. Guy >> I don't have much to say about this. Guy uses Chat GP to sell his house. So, uses Chat GP to sell his house. So, uses Chat GP to sell his house. So, Florida man sold his house in 5 days Florida man sold his house in 5 days Florida man sold his house in 5 days using Chat GPT without real estate. I using Chat GPT without real estate. I using Chat GPT without real estate. I don't really have much to say about don't really have much to say about don't really have much to say about this, but there is a funny Florida man this, but there is a funny Florida man this, but there is a funny Florida man game that I played the other day. Uh, game that I played the other day. Uh, game that I played the other day. Uh, have you ever done the Florida man and have you ever done the Florida man and have you ever done the Florida man and then your birth date? then your birth date? then your birth date? >> No. >> No. >> No. Well, let's go. What's your birthday, Well, let's go. What's your birthday, Well, let's go. What's your birthday, Sam? Sam? Sam? >> June 15th. >> June 15th. >> June 15th. >> Man, >> Man, >> Man, >> what's that? June 15th. >> what's that? June 15th. >> what's that? June 15th. >> June 15. >> June 15. >> June 15. >> So, Florida man, June 15th. Um, here's >> So, Florida man, June 15th. Um, here's >> So, Florida man, June 15th. Um, here's the top story. Florida man pushes pastor the top story. Florida man pushes pastor the top story. Florida man pushes pastor knocks churchgoers to the ground. >> What's the second one? >> What's the second one? >> Uh, Florida man said it's the 30 months >> Uh, Florida man said it's the 30 months >> Uh, Florida man said it's the 30 months for illegally transporting an alien. for illegally transporting an alien. for illegally transporting an alien. >> That sounds like something I would do. >> That's the plot of ET. >> That's the plot of ET. I'm pretty sure he was a good guy in I'm pretty sure he was a good guy in I'm pretty sure he was a good guy in that. that. that. >> All right, I got uh one more here. So, >> All right, I got uh one more here. So, >> All right, I got uh one more here. So, have you seen this Karpathy Jobs thing? have you seen this Karpathy Jobs thing? have you seen this Karpathy Jobs thing? >> No, but I saw the anthropic version. But >> No, but I saw the anthropic version. But >> No, but I saw the anthropic version. But what's the Karpathy one? what's the Karpathy one? what's the Karpathy one? >> Uh do you know who Cararpathy is? >> Uh do you know who Cararpathy is? >> Uh do you know who Cararpathy is? >> I don't even know who he is, but I know >> I don't even know who he is, but I know >> I don't even know who he is, but I know that when people say Cararpathy says that when people say Cararpathy says that when people say Cararpathy says blank about AI, you're supposed to take blank about AI, you're supposed to take blank about AI, you're supposed to take it seriously. >> He was one of the OGs of Open AI, um he >> He was one of the OGs of Open AI, um he was then poached by Tesla. He ran the was then poached by Tesla. He ran the was then poached by Tesla. He ran the Tesla self-driving program for like a Tesla self-driving program for like a Tesla self-driving program for like a decade or something like that. He went decade or something like that. He went decade or something like that. He went back to OpenAI after that. And then now back to OpenAI after that. And then now back to OpenAI after that. And then now he's just like indie hacker. He's just he's just like indie hacker. He's just he's just like indie hacker. He's just Peter levels with like six brains Peter levels with like six brains Peter levels with like six brains instead of one human brain. And so he's instead of one human brain. And so he's instead of one human brain. And so he's just [ __ ] around and he just posts on just [ __ ] around and he just posts on just [ __ ] around and he just posts on Twitter like random AI little Twitter like random AI little Twitter like random AI little experiments he's doing. So he made this experiments he's doing. So he made this experiments he's doing. So he made this thing called karpathy.ai/job >> and you can see this on the screen here. >> and you can see this on the screen here. Basically what he did is he took all of Basically what he did is he took all of Basically what he did is he took all of the US jobs from the uh you know Bureau the US jobs from the uh you know Bureau the US jobs from the uh you know Bureau of Labor and okay so that's 143 million of Labor and okay so that's 143 million of Labor and okay so that's 143 million different jobs in the US economy and different jobs in the US economy and different jobs in the US economy and then each the size of the square is how then each the size of the square is how then each the size of the square is how big of a how big of a part of the US big of a how big of a part of the US big of a how big of a part of the US economy that job is. So you could see economy that job is. So you could see economy that job is. So you could see like uh registered nurses there's 3.4 like uh registered nurses there's 3.4 like uh registered nurses there's 3.4 million registered nurses in the United million registered nurses in the United million registered nurses in the United States. Uh construction laborers there's States. Uh construction laborers there's States. Uh construction laborers there's 1.6 million secretaries. So it's 1.6 million secretaries. So it's 1.6 million secretaries. So it's percentage by uh size by quantity of percentage by uh size by quantity of percentage by uh size by quantity of workers workers workers >> popularity of >> popularity of >> popularity of >> because it says like cashiers is a huge >> because it says like cashiers is a huge >> because it says like cashiers is a huge percentage of that which is insane. So percentage of that which is insane. So percentage of that which is insane. So cashiers take 3.2 million jobs. That's cashiers take 3.2 million jobs. That's cashiers take 3.2 million jobs. That's wild. That's cool. Okay. wild. That's cool. Okay. wild. That's cool. Okay. >> Correct. And so um then why is what is >> Correct. And so um then why is what is >> Correct. And so um then why is what is green and red? Right. Looks like a stock green and red? Right. Looks like a stock green and red? Right. Looks like a stock market chart. So basically then he then market chart. So basically then he then market chart. So basically then he then had uh uh he took he told AI to estimate had uh uh he took he told AI to estimate had uh uh he took he told AI to estimate the likelihood that this job is going to the likelihood that this job is going to the likelihood that this job is going to disappear based on the capabilities of disappear based on the capabilities of disappear based on the capabilities of AI. So based on what the job does and AI. So based on what the job does and AI. So based on what the job does and then what AI can do, how disruptible is then what AI can do, how disruptible is then what AI can do, how disruptible is this job? How at risk is this job? So this job? How at risk is this job? So this job? How at risk is this job? So for example, construction laborers are for example, construction laborers are for example, construction laborers are green because they're more in the safe green because they're more in the safe green because they're more in the safe category from AI because AI today can't category from AI because AI today can't category from AI because AI today can't do what those people do. but customer do what those people do. but customer do what those people do. but customer service is in red obviously and um and service is in red obviously and um and service is in red obviously and um and so he went through every job in the US so he went through every job in the US so he went through every job in the US uh market and then you could sort of uh market and then you could sort of uh market and then you could sort of almost see like how how turbulent will almost see like how how turbulent will almost see like how how turbulent will this be for the labor market because you this be for the labor market because you this be for the labor market because you got how much red are you going to see on got how much red are you going to see on got how much red are you going to see on the screen because if it's going to the screen because if it's going to the screen because if it's going to really disrupt a very a very small niche really disrupt a very a very small niche really disrupt a very a very small niche job that's not that big of a deal but if job that's not that big of a deal but if job that's not that big of a deal but if it's going to disrupt you know it's going to disrupt you know it's going to disrupt you know >> secretaries and admin uh cashiers I'm >> secretaries and admin uh cashiers I'm >> secretaries and admin uh cashiers I'm surprised waiters and waitresses here surprised waiters and waitresses here surprised waiters and waitresses here high school teachers I'm surprised that high school teachers I'm surprised that high school teachers I'm surprised that one's there in red uh kindergarten one's there in red uh kindergarten one's there in red uh kindergarten elementary is like kind of in an orange elementary is like kind of in an orange elementary is like kind of in an orange state here. Um state here. Um state here. Um >> that's insane. What >> that's insane. What >> that's insane. What >> and then he has a caveat. So he says >> and then he has a caveat. So he says >> and then he has a caveat. So he says caveat on digital exposure. So he caveat on digital exposure. So he caveat on digital exposure. So he basically said let me just read the basically said let me just read the basically said let me just read the whole thing. So he said the digital AI whole thing. So he said the digital AI whole thing. So he said the digital AI exposure option is one example. It exposure option is one example. It exposure option is one example. It estimates how much of current AI which estimates how much of current AI which estimates how much of current AI which is primarily digital will reshape the is primarily digital will reshape the is primarily digital will reshape the occupation. But you could do this for occupation. But you could do this for occupation. But you could do this for any other type of thing like offshoring any other type of thing like offshoring any other type of thing like offshoring risk etc. And then and then he includes risk etc. And then and then he includes risk etc. And then and then he includes even the prompt here. This is a cool even the prompt here. This is a cool even the prompt here. This is a cool little hack project by him on the side. little hack project by him on the side. little hack project by him on the side. Uh and he's like you know here's there's Uh and he's like you know here's there's Uh and he's like you know here's there's obviously a bunch of caveats which is obviously a bunch of caveats which is obviously a bunch of caveats which is he's like software developers scored he's like software developers scored he's like software developers scored really high while some people believe really high while some people believe really high while some people believe well dude AI is doing all the coding now well dude AI is doing all the coding now well dude AI is doing all the coding now what does that mean and he's basically what does that mean and he's basically what does that mean and he's basically saying he says because AI transforms the saying he says because AI transforms the saying he says because AI transforms the work but the demand for software is work but the demand for software is work but the demand for software is going to grow as each developer becomes going to grow as each developer becomes going to grow as each developer becomes more productive the score does not more productive the score does not more productive the score does not account for demand elasticity latent account for demand elasticity latent account for demand elasticity latent demand regulatory barriers or social demand regulatory barriers or social demand regulatory barriers or social preferences for human workers that'd be preferences for human workers that'd be preferences for human workers that'd be like kindergarten teachers for example like kindergarten teachers for example like kindergarten teachers for example many high high exposure jobs will be many high high exposure jobs will be many high high exposure jobs will be reshaped and not replaced so it's not reshaped and not replaced so it's not reshaped and not replaced so it's not the red doesn't mean place, but it does the red doesn't mean place, but it does the red doesn't mean place, but it does mean reshaped. He did another thing that mean reshaped. He did another thing that mean reshaped. He did another thing that was pretty crazy. He created a auto AI was pretty crazy. He created a auto AI was pretty crazy. He created a auto AI researcher that runs all night. So, he researcher that runs all night. So, he researcher that runs all night. So, he basically created an AI that he basically created an AI that he basically created an AI that he explicitly programmed to not look for explicitly programmed to not look for explicitly programmed to not look for human feedback. So, it's like a human feedback. So, it's like a human feedback. So, it's like a recursive loop. So, it's like uh recursive loop. So, it's like uh recursive loop. So, it's like uh generate hypothesis, do research, create generate hypothesis, do research, create generate hypothesis, do research, create an output, evaluate your own output, an output, evaluate your own output, an output, evaluate your own output, give yourself the next uh direction, and give yourself the next uh direction, and give yourself the next uh direction, and go again, and give yourself the next go again, and give yourself the next go again, and give yourself the next direction, go again, give it. It just direction, go again, give it. It just direction, go again, give it. It just runs in the background all night just runs in the background all night just runs in the background all night just doing its own research. Now it's called doing its own research. Now it's called doing its own research. Now it's called auto researcher which is really how AI auto researcher which is really how AI auto researcher which is really how AI is going to like the the big leaps from is going to like the the big leaps from is going to like the the big leaps from AI are going to come when AI programs AI are going to come when AI programs AI are going to come when AI programs the next leap. the next leap. the next leap. >> Have you become the person where so like >> Have you become the person where so like >> Have you become the person where so like my Friday and Saturday nights I'm like I my Friday and Saturday nights I'm like I my Friday and Saturday nights I'm like I want to learn this stuff. This is so want to learn this stuff. This is so want to learn this stuff. This is so exciting. I'm so locked in. I love this. exciting. I'm so locked in. I love this. exciting. I'm so locked in. I love this. Like it could be small stuff like I Like it could be small stuff like I Like it could be small stuff like I don't need to use Tableau anymore, you don't need to use Tableau anymore, you don't need to use Tableau anymore, you know? Like I just make my own dashboards know? Like I just make my own dashboards know? Like I just make my own dashboards in notion and I created a script to auto in notion and I created a script to auto in notion and I created a script to auto update it and like just all these things update it and like just all these things update it and like just all these things where I feel like I have superpowers. where I feel like I have superpowers. where I feel like I have superpowers. >> Yeah, I feel like I have superpowers, >> Yeah, I feel like I have superpowers, >> Yeah, I feel like I have superpowers, but I'm like the early, you know, when but I'm like the early, you know, when but I'm like the early, you know, when Spider-Man when he like realizes he Spider-Man when he like realizes he Spider-Man when he like realizes he could shoot webs, but like really all could shoot webs, but like really all could shoot webs, but like really all he's doing is just shoot. He's like get he's doing is just shoot. He's like get he's doing is just shoot. He's like get he's like summoning the Coke can to him. he's like summoning the Coke can to him. he's like summoning the Coke can to him. It's like I could just get up, but or I It's like I could just get up, but or I It's like I could just get up, but or I could just web it to myself. I didn't could just web it to myself. I didn't could just web it to myself. I didn't have to get up from my bed. Like that's have to get up from my bed. Like that's have to get up from my bed. Like that's kind of what I'm doing. I'm doing a lot kind of what I'm doing. I'm doing a lot kind of what I'm doing. I'm doing a lot of stuff that feels cool to me. It feels of stuff that feels cool to me. It feels of stuff that feels cool to me. It feels like a superpower, but like does any of like a superpower, but like does any of like a superpower, but like does any of it matter right now? No. Um like still it matter right now? No. Um like still it matter right now? No. Um like still the all the useful stuff is just chat the all the useful stuff is just chat the all the useful stuff is just chat with chat with chat, chat with Grock, with chat with chat, chat with Grock, with chat with chat, chat with Grock, chat with Claude. chat with Claude. chat with Claude. >> Dude, I've done like really simple stuff >> Dude, I've done like really simple stuff >> Dude, I've done like really simple stuff where like I'll be like make 20 landing where like I'll be like make 20 landing where like I'll be like make 20 landing pages in HubSpot for when people search pages in HubSpot for when people search pages in HubSpot for when people search X, Y, and Z that are related to my X, Y, and Z that are related to my X, Y, and Z that are related to my company. That's a very monotonous, company. That's a very monotonous, company. That's a very monotonous, boring thing that I normally would have boring thing that I normally would have boring thing that I normally would have had to do by hand and it just made it had to do by hand and it just made it had to do by hand and it just made it all in uh 5 minutes. And this is for a all in uh 5 minutes. And this is for a all in uh 5 minutes. And this is for a lot of people listening. The agency lot of people listening. The agency lot of people listening. The agency business model just got really business model just got really business model just got really interesting now. Like historically, interesting now. Like historically, interesting now. Like historically, agencies are like a pain in the ass. agencies are like a pain in the ass. agencies are like a pain in the ass. >> Um but they're actually pretty amazing >> Um but they're actually pretty amazing >> Um but they're actually pretty amazing because you don't need to test if because you don't need to test if because you don't need to test if there's demand for an agency, right? there's demand for an agency, right? there's demand for an agency, right? Everyone needs an agency. Every business Everyone needs an agency. Every business Everyone needs an agency. Every business hires a lot of agencies. You you go hires a lot of agencies. You you go hires a lot of agencies. You you go through a lot because you don't through a lot because you don't through a lot because you don't particularly like them. But running an particularly like them. But running an particularly like them. But running an agency has always been a huge pain in agency has always been a huge pain in agency has always been a huge pain in the ass regardless of how great of an the ass regardless of how great of an the ass regardless of how great of an agency it is. But now it's significantly agency it is. But now it's significantly agency it is. But now it's significantly different. I think that a if you own an different. I think that a if you own an different. I think that a if you own an agency, I think you could take the path agency, I think you could take the path agency, I think you could take the path of like my business is over or you could of like my business is over or you could of like my business is over or you could take the path of like my multiples are take the path of like my multiples are take the path of like my multiples are going to go up a significant amount. going to go up a significant amount. going to go up a significant amount. >> My buddy Rine sent this blog post to >> My buddy Rine sent this blog post to >> My buddy Rine sent this blog post to just me and Ben like a maybe a year or just me and Ben like a maybe a year or just me and Ben like a maybe a year or two years ago and he wrote it was called two years ago and he wrote it was called two years ago and he wrote it was called um service as a software. So instead of um service as a software. So instead of um service as a software. So instead of software as a service, service as a software as a service, service as a software as a service, service as a software and he basically had this software and he basically had this software and he basically had this thesis he's like service businesses have thesis he's like service businesses have thesis he's like service businesses have historically had lower mar lower lower historically had lower mar lower lower historically had lower mar lower lower margins and lower multiples because two margins and lower multiples because two margins and lower multiples because two things. One because it required so many things. One because it required so many things. One because it required so many people to do uh the gross margins were people to do uh the gross margins were people to do uh the gross margins were worse. And two because it required like worse. And two because it required like worse. And two because it required like skilled people you couldn't scale it the skilled people you couldn't scale it the skilled people you couldn't scale it the way you can a piece of code that can way you can a piece of code that can way you can a piece of code that can just keep running you know anywhere in just keep running you know anywhere in just keep running you know anywhere in the world. You know whether one person the world. You know whether one person the world. You know whether one person is using that code or 10 million usually is using that code or 10 million usually is using that code or 10 million usually doesn't really matter. and he was like doesn't really matter. and he was like doesn't really matter. and he was like AI seems to have changed this and he AI seems to have changed this and he AI seems to have changed this and he kind of he called this early and he was kind of he called this early and he was kind of he called this early and he was like now services businesses are going like now services businesses are going like now services businesses are going to have high gross margins like 75% to have high gross margins like 75% to have high gross margins like 75% gross margins instead of like 50 40% gross margins instead of like 50 40% gross margins instead of like 50 40% gross margins and he's like the reason gross margins and he's like the reason gross margins and he's like the reason why is because obviously AI is going to why is because obviously AI is going to why is because obviously AI is going to make the service company more efficient make the service company more efficient make the service company more efficient with one person you can do what you know with one person you can do what you know with one person you can do what you know four five six seven people were doing four five six seven people were doing four five six seven people were doing before and then the second thing is that before and then the second thing is that before and then the second thing is that the more people uh have software like the more people uh have software like the more people uh have software like service is going to be become more rare service is going to be become more rare service is going to be become more rare it's going to become more uh like it's it's going to become more uh like it's it's going to become more uh like it's going to become the harder thing to get going to become the harder thing to get going to become the harder thing to get And in addition to that, you have uh so And in addition to that, you have uh so And in addition to that, you have uh so not only does it have the higher not only does it have the higher not only does it have the higher multiple, but also it'll scale better, multiple, but also it'll scale better, multiple, but also it'll scale better, right? Because if you're using the more right? Because if you're using the more right? Because if you're using the more the more internal software you have, the the more internal software you have, the the more internal software you have, the more clients you might be able to serve. more clients you might be able to serve. more clients you might be able to serve. And so you you get the scalability and And so you you get the scalability and And so you you get the scalability and you get the margins. And so he had this you get the margins. And so he had this you get the margins. And so he had this idea and this is exactly what we're idea and this is exactly what we're idea and this is exactly what we're seeing. We were talking to a bunch of PE seeing. We were talking to a bunch of PE seeing. We were talking to a bunch of PE folks and they've all basically shifted folks and they've all basically shifted folks and they've all basically shifted budget away from buying SAS to buying budget away from buying SAS to buying budget away from buying SAS to buying service companies and they value the service companies and they value the service companies and they value the service companies like they used to service companies like they used to service companies like they used to value software companies, which is kind value software companies, which is kind value software companies, which is kind of crazy. uh as a shift to make for of crazy. uh as a shift to make for of crazy. uh as a shift to make for somebody who was like ingrained in my somebody who was like ingrained in my somebody who was like ingrained in my mind that like you know software is the mind that like you know software is the mind that like you know software is the thing and services are bad you know and thing and services are bad you know and thing and services are bad you know and he was he was 100% right and let me show he was he was 100% right and let me show he was he was 100% right and let me show you this thing that that I made all you this thing that that I made all you this thing that that I made all right so I think I've told you this right so I think I've told you this right so I think I've told you this before but my brother-in-law who's come before but my brother-in-law who's come before but my brother-in-law who's come on the podcast before his name is on the podcast before his name is on the podcast before his name is Sanjieve he uh he is one of the biggest Sanjieve he uh he is one of the biggest Sanjieve he uh he is one of the biggest owners of retail shopping centers in the owners of retail shopping centers in the owners of retail shopping centers in the country he owns I don't know like some I country he owns I don't know like some I country he owns I don't know like some I don't know what the number is but like don't know what the number is but like don't know what the number is but like maybe like you know a couple million maybe like you know a couple million maybe like you know a couple million square feet of real estate of retail square feet of real estate of retail square feet of real estate of retail shopping centers in the country. shopping centers in the country. shopping centers in the country. Probably one of the top five to 10 Probably one of the top five to 10 Probably one of the top five to 10 operators, but he, you know, it's like a operators, but he, you know, it's like a operators, but he, you know, it's like a bluecollar type of business as in like bluecollar type of business as in like bluecollar type of business as in like you don't, you know, his job is he does you don't, you know, his job is he does you don't, you know, his job is he does a lot of construction. He does a lot of a lot of construction. He does a lot of a lot of construction. He does a lot of leasing with brickandmortar businesses leasing with brickandmortar businesses leasing with brickandmortar businesses and so he's not hugely exposed to AI. So and so he's not hugely exposed to AI. So and so he's not hugely exposed to AI. So he um he joined like Tiger 21 or he um he joined like Tiger 21 or he um he joined like Tiger 21 or something like that. He was at a meeting something like that. He was at a meeting something like that. He was at a meeting and he and they were he's like, "Dude, and he and they were he's like, "Dude, and he and they were he's like, "Dude, it was all about AI." He's like, "I feel it was all about AI." He's like, "I feel it was all about AI." He's like, "I feel like I got to like know more about AI." like I got to like know more about AI." like I got to like know more about AI." He's like, "Seems like, you know, I'm I He's like, "Seems like, you know, I'm I He's like, "Seems like, you know, I'm I kind of know about it, but I got to know kind of know about it, but I got to know kind of know about it, but I got to know more, you know, like seems like I'm more, you know, like seems like I'm more, you know, like seems like I'm probably underinvesting in this." So, probably underinvesting in this." So, probably underinvesting in this." So, last night, I just did I did a little last night, I just did I did a little last night, I just did I did a little demo for him. So, I basically went into demo for him. So, I basically went into demo for him. So, I basically went into Claude and I just go, "I'm a retail Claude and I just go, "I'm a retail Claude and I just go, "I'm a retail shopping center owner. This is my shopping center owner. This is my shopping center owner. This is my business. Tell me 10 ways I should be business. Tell me 10 ways I should be business. Tell me 10 ways I should be using AI." So, it gives me 10 ways. So, using AI." So, it gives me 10 ways. So, using AI." So, it gives me 10 ways. So, it's like, here's 10 things you could it's like, here's 10 things you could it's like, here's 10 things you could do. A retail expansion and contraction do. A retail expansion and contraction do. A retail expansion and contraction tracker. Okay. So, like, you know, your tracker. Okay. So, like, you know, your tracker. Okay. So, like, you know, your tenants are these retailers. You could tenants are these retailers. You could tenants are these retailers. You could scrape earnings calls, 10Ks, press scrape earnings calls, 10Ks, press scrape earnings calls, 10Ks, press releases, trade publications, and flag releases, trade publications, and flag releases, trade publications, and flag which stores are opening more locations, which stores are opening more locations, which stores are opening more locations, which ones are closing locations, and which ones are closing locations, and which ones are closing locations, and that would create a hit list for your that would create a hit list for your that would create a hit list for your team to go call those tenants and team to go call those tenants and team to go call those tenants and basically be like top of mind for them basically be like top of mind for them basically be like top of mind for them as they look for new locations. Lease as they look for new locations. Lease as they look for new locations. Lease expiration, you have all these leases, expiration, you have all these leases, expiration, you have all these leases, right? If you have, let's call it 50 right? If you have, let's call it 50 right? If you have, let's call it 50 centers that you own and each center has centers that you own and each center has centers that you own and each center has 30 tenants. Now, you have 150 uh tenants 30 tenants. Now, you have 150 uh tenants 30 tenants. Now, you have 150 uh tenants that you would have. Each one has a that you would have. Each one has a that you would have. Each one has a unique lease on it, a unique timetable. unique lease on it, a unique timetable. unique lease on it, a unique timetable. you need to know who that's expiring and you need to know who that's expiring and you need to know who that's expiring and when. Just upload all of it to a folder when. Just upload all of it to a folder when. Just upload all of it to a folder and it'll tell you what is expiring and it'll tell you what is expiring and it'll tell you what is expiring when. It'll give you notifications and when. It'll give you notifications and when. It'll give you notifications and it'll cross reference that with their it'll cross reference that with their it'll cross reference that with their public announcement so you know, hey, public announcement so you know, hey, public announcement so you know, hey, they had a hot quarter, you know, go and they had a hot quarter, you know, go and they had a hot quarter, you know, go and look for an expansion of that lease. look for an expansion of that lease. look for an expansion of that lease. They're contracting. That's going to be They're contracting. That's going to be They're contracting. That's going to be at risk. You should start thinking about at risk. You should start thinking about at risk. You should start thinking about possible new tenants to put in. And it possible new tenants to put in. And it possible new tenants to put in. And it gave a list of like, you know, 10 10 gave a list of like, you know, 10 10 gave a list of like, you know, 10 10 different uh things. And then I just different uh things. And then I just different uh things. And then I just said, "Cool. Give me the prompt to um to said, "Cool. Give me the prompt to um to said, "Cool. Give me the prompt to um to build this to build number one that like build this to build number one that like build this to build number one that like expansion tracker." So check this out. expansion tracker." So check this out. expansion tracker." So check this out. So then I go and I basically take that So then I go and I basically take that So then I go and I basically take that prompt. I throw it into the new I wanted prompt. I throw it into the new I wanted prompt. I throw it into the new I wanted to try the new perplexity computer. I to try the new perplexity computer. I to try the new perplexity computer. I don't know if you've played with this at don't know if you've played with this at don't know if you've played with this at all, but all, but all, but >> computer just open claw but >> computer just open claw but >> computer just open claw but >> yeah it's like open claw but in their >> yeah it's like open claw but in their >> yeah it's like open claw but in their like sandbox. Um you less technical work like sandbox. Um you less technical work like sandbox. Um you less technical work to start uh but it's like in their to start uh but it's like in their to start uh but it's like in their environment. So it built it. So check environment. So it built it. So check environment. So it built it. So check this out. So it's basically like check this out. So it's basically like check this out. So it's basically like check this out. Uh this out. Uh this out. Uh >> is this just a mockup? >> is this just a mockup? >> is this just a mockup? >> No, this is like an active live website >> No, this is like an active live website >> No, this is like an active live website now that he can use. So he built this. now that he can use. So he built this. now that he can use. So he built this. not his data or this is his data. not his data or this is his data. not his data or this is his data. >> This is not his data. This I just said, >> This is not his data. This I just said, >> This is not his data. This I just said, "Hey, here's seven states that I operate "Hey, here's seven states that I operate "Hey, here's seven states that I operate a lot in. Texas, Nevada, New Mexico, a lot in. Texas, Nevada, New Mexico, a lot in. Texas, Nevada, New Mexico, Utah." Utah." Utah." >> So, just and then I didn't tell it >> So, just and then I didn't tell it >> So, just and then I didn't tell it anything else. So, we went and said, anything else. So, we went and said, anything else. So, we went and said, "Okay, Dollar General ex is uh one of "Okay, Dollar General ex is uh one of "Okay, Dollar General ex is uh one of your is a retailer that's expanding. You your is a retailer that's expanding. You your is a retailer that's expanding. You know, they're count. They're going to do know, they're count. They're going to do know, they're count. They're going to do 450 new stores." And then you click in 450 new stores." And then you click in 450 new stores." And then you click in and it says they have they planned this and it says they have they planned this and it says they have they planned this many new stores for 2026. They're going many new stores for 2026. They're going many new stores for 2026. They're going to do 4,000 remodels, 20 relocations. to do 4,000 remodels, 20 relocations. to do 4,000 remodels, 20 relocations. They currently have 20,000 stores. They currently have 20,000 stores. They currently have 20,000 stores. Here's where they're likely to be Here's where they're likely to be Here's where they're likely to be expanding. Here's the quote from the expanding. Here's the quote from the expanding. Here's the quote from the source from the CEO talking about what source from the CEO talking about what source from the CEO talking about what they're what they're going to do, they're what they're going to do, they're what they're going to do, >> right? Um, let's go to contracting, you >> right? Um, let's go to contracting, you >> right? Um, let's go to contracting, you know, Walgreens. They're planning to know, Walgreens. They're planning to know, Walgreens. They're planning to close a 100 stores. They've already close a 100 stores. They've already close a 100 stores. They've already closed 500 since 2024. Um, you know, closed 500 since 2024. Um, you know, closed 500 since 2024. Um, you know, here's like a Macy's one. Here's here's like a Macy's one. Here's here's like a Macy's one. Here's whatever. You know, different different whatever. You know, different different whatever. You know, different different uh different retailers and how they're uh different retailers and how they're uh different retailers and how they're doing. And then you're like, "Okay, doing. And then you're like, "Okay, doing. And then you're like, "Okay, cool. Um, now I basically have a hit cool. Um, now I basically have a hit cool. Um, now I basically have a hit list of retailers that I can basically list of retailers that I can basically list of retailers that I can basically have my team focus more attention on, have my team focus more attention on, have my team focus more attention on, less attention on in terms of getting less attention on in terms of getting less attention on in terms of getting new leases done or forecasting and new leases done or forecasting and new leases done or forecasting and anticipating and be proactive about anticipating and be proactive about anticipating and be proactive about potential vacancies I might have in my potential vacancies I might have in my potential vacancies I might have in my centers in the future. centers in the future. centers in the future. >> What did he say when he saw that? >> What did he say when he saw that? >> What did he say when he saw that? >> He was like, "Hey, can we can we do a >> He was like, "Hey, can we can we do a >> He was like, "Hey, can we can we do a call today? I need like kind like what call today? I need like kind like what call today? I need like kind like what the hell just happened? Like I just need the hell just happened? Like I just need the hell just happened? Like I just need to talk to some I need to talk to to talk to some I need to talk to to talk to some I need to talk to somebody. like I need to see what the somebody. like I need to see what the somebody. like I need to see what the he's he was like I'm on chat GPT. It he's he was like I'm on chat GPT. It he's he was like I'm on chat GPT. It seems like I should be using some other seems like I should be using some other seems like I should be using some other things. Can you tell me what these are things. Can you tell me what these are things. Can you tell me what these are now? Um and I'm like yeah you know now? Um and I'm like yeah you know now? Um and I'm like yeah you know because I've invested millions of because I've invested millions of because I've invested millions of dollars with him and so I'm like yeah dollars with him and so I'm like yeah dollars with him and so I'm like yeah like I can show you a couple of things like I can show you a couple of things like I can show you a couple of things that I think are going to like you know that I think are going to like you know that I think are going to like you know today it's all manual right everything today it's all manual right everything today it's all manual right everything is manual everything is gut everything is manual everything is gut everything is manual everything is gut everything is experience but you can productize a is experience but you can productize a is experience but you can productize a lot of that and turn it into you know lot of that and turn it into you know lot of that and turn it into you know competitive advantage for yourself. competitive advantage for yourself. competitive advantage for yourself. >> The problem is um turning it into a >> The problem is um turning it into a >> The problem is um turning it into a competitive advantage. So, it's getting competitive advantage. So, it's getting competitive advantage. So, it's getting someone like him who's smart and someone like him who's smart and someone like him who's smart and successful but not well verssed and successful but not well verssed and successful but not well verssed and being like, "Oh my god." Like, everyone being like, "Oh my god." Like, everyone being like, "Oh my god." Like, everyone feels the same amount of doom and feels the same amount of doom and feels the same amount of doom and overwhelm. They're they're like, "I know overwhelm. They're they're like, "I know overwhelm. They're they're like, "I know this is important. I don't know the this is important. I don't know the this is important. I don't know the first place where to turn to in order to first place where to turn to in order to first place where to turn to in order to get help." You know, you and I have get help." You know, you and I have get help." You know, you and I have Twitter. We could just tweet out who Twitter. We could just tweet out who Twitter. We could just tweet out who knows how to do blank or is doing blank knows how to do blank or is doing blank knows how to do blank or is doing blank worth it? Uh, but if you are, it doesn't worth it? Uh, but if you are, it doesn't worth it? Uh, but if you are, it doesn't matter how successful you are, but if matter how successful you are, but if matter how successful you are, but if you're just a guy and you're not locked you're just a guy and you're not locked you're just a guy and you're not locked into this industry or like surrounded by into this industry or like surrounded by into this industry or like surrounded by nerds, I don't even know where you would nerds, I don't even know where you would nerds, I don't even know where you would start. start. start. >> Well, yeah. I I think you have to you >> Well, yeah. I I think you have to you >> Well, yeah. I I think you have to you have to figure out some proportional have to figure out some proportional have to figure out some proportional investment of education and time to work investment of education and time to work investment of education and time to work on this. Whether it's, you know, once a on this. Whether it's, you know, once a on this. Whether it's, you know, once a week or you do three weeks or you hire a week or you do three weeks or you hire a week or you do three weeks or you hire a consultant or you do whatever you do. consultant or you do whatever you do. consultant or you do whatever you do. It's one of the reasons I think the It's one of the reasons I think the It's one of the reasons I think the biggest opportunity right now, like the biggest opportunity right now, like the biggest opportunity right now, like the obvious no-brainer thing that anybody obvious no-brainer thing that anybody obvious no-brainer thing that anybody who hasn't made it that wants to make it who hasn't made it that wants to make it who hasn't made it that wants to make it in life needs to do today is to in life needs to do today is to in life needs to do today is to basically go sell AI transformation. So basically go sell AI transformation. So basically go sell AI transformation. So what do you do? You go find business what do you do? You go find business what do you do? You go find business owners and operators and you go you owners and operators and you go you owners and operators and you go you become an AI expert in your nights and become an AI expert in your nights and become an AI expert in your nights and weekends basically and then you go to weekends basically and then you go to weekends basically and then you go to them and you sell a no- risk offer to them and you sell a no- risk offer to them and you sell a no- risk offer to them which is that I will come and I them which is that I will come and I them which is that I will come and I will find ways I I will come and do an will find ways I I will come and do an will find ways I I will come and do an audit and basically figure out how I can audit and basically figure out how I can audit and basically figure out how I can use AI to improve your business. And use AI to improve your business. And use AI to improve your business. And then you go and you do an audit and you then you go and you do an audit and you then you go and you do an audit and you try to figure out how to make improve try to figure out how to make improve try to figure out how to make improve their business and you sell them the their business and you sell them the their business and you sell them the solution, the implementation of it of solution, the implementation of it of solution, the implementation of it of hey this is what I think AI could do for hey this is what I think AI could do for hey this is what I think AI could do for you. I'll do it for you if you pay me you. I'll do it for you if you pay me you. I'll do it for you if you pay me this amount and here's the value it's this amount and here's the value it's this amount and here's the value it's going to drive for you and then you do going to drive for you and then you do going to drive for you and then you do it once with let's say you do it with it once with let's say you do it with it once with let's say you do it with one dentist then you go do it with 50 one dentist then you go do it with 50 one dentist then you go do it with 50 more dentists and you can literally make more dentists and you can literally make more dentists and you can literally make millions of dollars doing just that millions of dollars doing just that millions of dollars doing just that blueprint. That is the blueprint. Like blueprint. That is the blueprint. Like blueprint. That is the blueprint. Like if you remember when social media if you remember when social media if you remember when social media marketing agency became a thing, there marketing agency became a thing, there marketing agency became a thing, there was this acronym SMMA and it became this was this acronym SMMA and it became this was this acronym SMMA and it became this like business in a box that anybody like business in a box that anybody like business in a box that anybody could open up which was social media is could open up which was social media is could open up which was social media is a big deal. Businesses today don't a big deal. Businesses today don't a big deal. Businesses today don't really understand how to use it. They're really understand how to use it. They're really understand how to use it. They're using it in their personal life but using it in their personal life but using it in their personal life but they're not using it for their business. they're not using it for their business. they're not using it for their business. Well, anybody in any local, any niche Well, anybody in any local, any niche Well, anybody in any local, any niche can create a social media marketing can create a social media marketing can create a social media marketing agency and you could basically go to agency and you could basically go to agency and you could basically go to these business owners and say, "Hey, these business owners and say, "Hey, these business owners and say, "Hey, I'll run your social media for you." I'll run your social media for you." I'll run your social media for you." Because they don't know how to do it. Because they don't know how to do it. Because they don't know how to do it. they know they should do it and you can they know they should do it and you can they know they should do it and you can bridge that gap and that became the bridge that gap and that became the bridge that gap and that became the business in a box. Well, the what is the business in a box. Well, the what is the business in a box. Well, the what is the business in a box today? It's going and business in a box today? It's going and business in a box today? It's going and selling. Hey, I'm going to use AI to selling. Hey, I'm going to use AI to selling. Hey, I'm going to use AI to improve your business and you go do that improve your business and you go do that improve your business and you go do that and you should be doing that all around and you should be doing that all around and you should be doing that all around the country the country the country >> over the next couple weeks. Uh when when >> over the next couple weeks. Uh when when >> over the next couple weeks. Uh when when it's just you and I. I want to do a an it's just you and I. I want to do a an it's just you and I. I want to do a an episode on how to develop good taste episode on how to develop good taste episode on how to develop good taste because what we're seeing online is because what we're seeing online is because what we're seeing online is people saying now that building things people saying now that building things people saying now that building things is not important anymore because you is not important anymore because you is not important anymore because you have a machine that can build it for have a machine that can build it for have a machine that can build it for you, the next most important thing now you, the next most important thing now you, the next most important thing now is how to have good taste. And I have is how to have good taste. And I have is how to have good taste. And I have found that piece of advice to be found that piece of advice to be found that piece of advice to be incredibly unhelpful because what is the incredibly unhelpful because what is the incredibly unhelpful because what is the definition of good taste and how do you definition of good taste and how do you definition of good taste and how do you develop it? And I've been working really develop it? And I've been working really develop it? And I've been working really hard on defining it. And I think that we hard on defining it. And I think that we hard on defining it. And I think that we we can see this whole like I think that we can see this whole like I think that we can see this whole like I think that there's an interesting opportunity where there's an interesting opportunity where there's an interesting opportunity where you can teach people how to develop good you can teach people how to develop good you can teach people how to develop good taste because I believe you can, taste because I believe you can, taste because I believe you can, >> right? >> right? >> right? >> And I want to do a whole episode on how >> And I want to do a whole episode on how >> And I want to do a whole episode on how to uh define what does good taste mean to uh define what does good taste mean to uh define what does good taste mean because I believe there's an objective because I believe there's an objective because I believe there's an objective definition to it which is um knowing and definition to it which is um knowing and definition to it which is um knowing and speaking the the desired language of the speaking the the desired language of the speaking the the desired language of the of the the people or thing that you want of the the people or thing that you want of the the people or thing that you want to speak about and then how you learn to speak about and then how you learn to speak about and then how you learn that language. I'm I'm all in. I love that language. I'm I'm all in. I love that language. I'm I'm all in. I love that. I think that's that that would be that. I think that's that that would be that. I think that's that that would be super fun to do. And I think like you super fun to do. And I think like you super fun to do. And I think like you said, timely and necessary. And I think said, timely and necessary. And I think said, timely and necessary. And I think most people would agree with the premise most people would agree with the premise most people would agree with the premise that like taste matters. It's pretty that like taste matters. It's pretty that like taste matters. It's pretty hard to disagree with that taste ever hard to disagree with that taste ever hard to disagree with that taste ever didn't matter. Now matters more, right? didn't matter. Now matters more, right? didn't matter. Now matters more, right? Cuz if AI can produce more stuff and Cuz if AI can produce more stuff and Cuz if AI can produce more stuff and makes it easier than ever to make makes it easier than ever to make makes it easier than ever to make things, well, taste matters even more things, well, taste matters even more things, well, taste matters even more then, right? Because taste is the uh is then, right? Because taste is the uh is then, right? Because taste is the uh is the discernment. It's the decision the discernment. It's the decision the discernment. It's the decision between good and bad. And so, yeah, between good and bad. And so, yeah, between good and bad. And so, yeah, obviously it matters more, but I think obviously it matters more, but I think obviously it matters more, but I think it's like these uh these other soft it's like these uh these other soft it's like these uh these other soft skills that people don't even think of skills that people don't even think of skills that people don't even think of as skills, meaning you just sort of as skills, meaning you just sort of as skills, meaning you just sort of think you have a certain amount of it think you have a certain amount of it think you have a certain amount of it and it can't really grow like any other and it can't really grow like any other and it can't really grow like any other skill. When it's like, well, no, if it's skill. When it's like, well, no, if it's skill. When it's like, well, no, if it's a skill, that means it could be a skill, that means it could be a skill, that means it could be practiced, it could be learned, it could practiced, it could be learned, it could practiced, it could be learned, it could be improved. Um, and so if it's a skill, be improved. Um, and so if it's a skill, be improved. Um, and so if it's a skill, then that means the only question is then that means the only question is then that means the only question is how. how. how. >> I have that answer. And so, I won't >> I have that answer. And so, I won't >> I have that answer. And so, I won't reveal it today, but I've been thinking reveal it today, but I've been thinking reveal it today, but I've been thinking a lot about this. Um, coincidentally, a lot about this. Um, coincidentally, a lot about this. Um, coincidentally, I've been thinking about it for about 2 I've been thinking about it for about 2 I've been thinking about it for about 2 years on how to like learn good taste years on how to like learn good taste years on how to like learn good taste cuz I don't think I particularly have cuz I don't think I particularly have cuz I don't think I particularly have good taste, but I've tried to develop good taste, but I've tried to develop good taste, but I've tried to develop it. it. it. >> All right, down. Um, all right. That's >> All right, down. Um, all right. That's >> All right, down. Um, all right. That's it. That's the AI news we wanted to it. That's the AI news we wanted to it. That's the AI news we wanted to react to today. Sam, send them off. react to today. Sam, send them off. react to today. Sam, send them off. >> Peace. That's it. That's the part.