1 00:00:00,000 --> 00:00:03,840 If you're watching this video, you're going to learn three big things. 2 00:00:04,080 --> 00:00:09,520 Number one, why Bitcoin is digital money and backed by real world energy. 3 00:00:10,400 --> 00:00:18,480 Number two, AI agents are going to be buying and selling services automatically from one another 4 00:00:18,480 --> 00:00:25,080 using Bitcoin. And number three, how to stay grounded and do your own research. 5 00:00:25,080 --> 00:00:38,880 Nice. Today's guest is Michael. He is a super smart AI founder with a unique perspective on how AI and Bitcoin are two sides of the same coin. 6 00:00:39,140 --> 00:00:45,540 So if you're brand new to Bitcoin, come on inside the world's biggest Bitcoin welcome center for today's show. 7 00:00:45,540 --> 00:00:54,600 Welcome to Sat Chats, the Bitcoin podcast where we chat about sats. 8 00:00:54,740 --> 00:00:59,200 Sats are the smallest part of a Bitcoin the same way pennies are the smallest part of a dollar. 9 00:00:59,800 --> 00:01:07,120 With Sat Chats, we are building the world's biggest Bitcoin welcome center to serve as your gateway to generational wealth. 10 00:01:07,120 --> 00:01:13,680 So if you are brand new to Bitcoin, we want to chat about sats with you. 11 00:01:13,680 --> 00:01:18,480 Head to satchats.com to grab your slot in the studio today. 12 00:01:18,620 --> 00:01:19,760 I'm your host, Stuart. 13 00:01:20,760 --> 00:01:22,160 And I'm your co-host, Anna Bevan. 14 00:01:22,280 --> 00:01:25,940 And with us today in the actual studio is 181 Michael. 15 00:01:26,980 --> 00:01:31,620 So Michael, fellow middle school theater dad. 16 00:01:31,840 --> 00:01:32,380 That's right. 17 00:01:32,540 --> 00:01:33,700 It's a real niche group. 18 00:01:34,060 --> 00:01:36,220 That's a label I woke up, right? 19 00:01:36,880 --> 00:01:41,760 Who just happened to be like a big old Bitcoiner in the audience of the Mean Girls production 20 00:01:41,760 --> 00:01:44,460 where we took out a little ad that said, 21 00:01:44,540 --> 00:01:45,600 you can't sit with us. 22 00:01:46,000 --> 00:01:47,060 Actually, you can. 23 00:01:47,180 --> 00:01:48,380 And we'll pay you $50. 24 00:01:49,280 --> 00:01:50,240 And it got me. 25 00:01:50,340 --> 00:01:51,080 It was a great ad. 26 00:01:51,300 --> 00:01:51,820 Great ad. 27 00:01:51,920 --> 00:01:52,440 And it's odd. 28 00:01:52,440 --> 00:01:56,460 You have the Venn diagram of Mean Girls fans 29 00:01:56,460 --> 00:01:58,380 and Bitcoin Maxi. 30 00:01:58,560 --> 00:02:01,880 The middle is a small one. 31 00:02:02,040 --> 00:02:03,260 Yeah, it's probably two. 32 00:02:04,560 --> 00:02:05,400 It's two. 33 00:02:05,620 --> 00:02:06,340 It might be me and Steve. 34 00:02:06,340 --> 00:02:08,080 Small but unassailable, man. 35 00:02:08,180 --> 00:02:08,920 We are tight. 36 00:02:09,220 --> 00:02:09,760 We are tight. 37 00:02:09,760 --> 00:02:14,240 Like you cannot, you will not back down from either of those practices. 38 00:02:14,520 --> 00:02:14,700 Okay. 39 00:02:15,020 --> 00:02:15,220 Yeah. 40 00:02:15,400 --> 00:02:20,720 So we do want to grab your brand new Bitcoiner story as part of this episode. 41 00:02:20,720 --> 00:02:27,300 But before we started recording, he was talking about AI and Bitcoin, same size of the coin. 42 00:02:27,480 --> 00:02:29,040 One might be able to limit the other. 43 00:02:29,140 --> 00:02:29,880 What have you? 44 00:02:30,300 --> 00:02:34,900 You got a whole AI company that helps AI companies price themselves. 45 00:02:34,900 --> 00:02:46,820 Anyways, I kind of want to jump right into that moment there because I think a lot of brand new Bitcoiners, they're probably not like, hey, man, I can't wait to talk about Freedom Go Up. 46 00:02:47,140 --> 00:02:52,820 And like, it's going to be so good a thousand years from now when my great, great, great, great, great grandchildren are living a better life than me. 47 00:02:52,880 --> 00:02:55,700 They're more like, hey, is this going to take care of me now? 48 00:02:56,080 --> 00:02:57,260 What's going on with AI? 49 00:02:57,640 --> 00:02:59,340 Is AI going to take our jobs? 50 00:02:59,420 --> 00:03:00,840 If so, are they going to print money? 51 00:03:00,920 --> 00:03:02,020 If they print money, does Bitcoin go? 52 00:03:02,020 --> 00:03:04,400 You know, they're kind of, we're in that space. 53 00:03:04,400 --> 00:03:12,980 So it seems like you have a unique perspective on AI and Bitcoin that we probably haven't had a chance to explore on this show. 54 00:03:13,540 --> 00:03:15,060 Hit us with all that juice. 55 00:03:15,220 --> 00:03:22,820 Yeah, well, I love it primarily because I'm a technologist at heart. 56 00:03:23,080 --> 00:03:28,940 It was one of the things that brought me into Bitcoin was when I realized, oh, shoot, this is actually a technology, right? 57 00:03:28,940 --> 00:03:33,580 It's multilayered and nuanced and AI is very similar. 58 00:03:33,580 --> 00:03:38,700 Now, like, obviously, I think a lot of the fear around AI is it's going to take my job. 59 00:03:38,980 --> 00:03:42,540 And transparently, that's probably true for some. 60 00:03:43,080 --> 00:03:43,180 Right. 61 00:03:43,360 --> 00:03:53,860 But I think there's an even bigger fear around super intelligence and AI becoming, you know, obviously more powerful than humanity, humans. 62 00:03:54,160 --> 00:03:54,220 Wow. 63 00:03:54,400 --> 00:03:54,620 Right. 64 00:03:54,780 --> 00:03:55,000 Yeah. 65 00:03:55,000 --> 00:04:03,480 And I have read enough science fiction to be able to tell you that my belief is that's a valid fear. 66 00:04:03,580 --> 00:04:16,640 But I think that this is where Bitcoin plays a key role in, honestly, like AI harmonizing with the physical world. 67 00:04:17,080 --> 00:04:23,920 When you think about Bitcoin, Bitcoin is a digital representation of real world energy. 68 00:04:24,920 --> 00:04:26,040 That's nice. 69 00:04:26,380 --> 00:04:27,660 Yeah, that's a great summary. 70 00:04:27,660 --> 00:04:35,360 And, you know, it is only produced and created and given its value through real world energy. 71 00:04:35,800 --> 00:04:46,840 And one of the only limitations, actually, what we believe to be the only limitation on AI right now is the fact that it takes lots of energy, right? 72 00:04:47,180 --> 00:04:56,720 And no matter how powerful AI gets, it will always, to a certain extent, be limited by the amount of energy that powers it. 73 00:04:56,720 --> 00:05:17,300 And so we can look at this from a tactical perspective where we're moving into this world where there's a lot of autonomous AI that are going to be making purchases, that are going to be interacting with each other, that will first need a layer of finance to be able to do that on. 74 00:05:17,300 --> 00:05:21,500 And that's not going to happen with dollars and cents and euros. 75 00:05:21,680 --> 00:05:23,100 And it's far too complicated. 76 00:05:23,320 --> 00:05:32,800 In fact, AI and all of its intelligence will go to something digitally native and scarce. 77 00:05:33,560 --> 00:05:42,520 And we'll move to Bitcoin, not just for those reasons, but for the fact that it's incredibly simple and AI can operate with it. 78 00:05:42,860 --> 00:05:45,240 But it will also limit itself in doing that. 79 00:05:45,240 --> 00:05:48,180 That'll be a great thing for humanity. 80 00:05:49,260 --> 00:05:58,420 AI will be limited in the amount of energy that it's actually able to use via its transaction power. 81 00:05:58,420 --> 00:06:07,700 So almost like instead of AI just operating endlessly, you might have a moment where everyone's like, 82 00:06:07,700 --> 00:06:11,300 hey, if my agent does something of value for yours, 83 00:06:11,900 --> 00:06:16,960 then my agent should receive some kind of compensation in exchange. 84 00:06:17,100 --> 00:06:17,380 That's right. 85 00:06:17,600 --> 00:06:23,700 Let's Bitcoinize the AI economy type 86 00:06:23,700 --> 00:06:26,040 how these agents work with one another 87 00:06:26,040 --> 00:06:28,500 to where an agent might have the opportunity 88 00:06:28,500 --> 00:06:30,520 to work endlessly around the clock, 89 00:06:30,700 --> 00:06:33,760 but might hang out until there's a paying job to be done. 90 00:06:34,140 --> 00:06:34,540 That's right. 91 00:06:35,080 --> 00:06:35,300 Yeah. 92 00:06:35,740 --> 00:06:36,880 That's so cool. 93 00:06:36,880 --> 00:06:37,800 Yeah, yeah. 94 00:06:38,140 --> 00:06:51,300 So what do you and I need to do to spin up Netflix for AI so that when they don't have anything to do, they can pay us a subscription to watch stuff and scroll around on their phones? 95 00:06:51,300 --> 00:06:55,040 Well, that's, you know, it's actually, it's interesting, especially in the world of AI. 96 00:06:55,480 --> 00:07:12,940 You know, there's a lot of regulation being talked about in terms of content that goes and trains the AI and how, you know, if humans have created that content with their own or owed for creating this like awesome content that the AI is trained on. 97 00:07:13,700 --> 00:07:20,380 Yeah, I love the idea of like, hey, how do we, how do we create just like an army of content watchers? 98 00:07:21,300 --> 00:07:33,140 Hey, if they're going to work for money, they need to have they need a bunch of subscriptions that are piling up each month for endless amounts of content to watch while they're not working. 99 00:07:33,140 --> 00:07:46,640 Exactly. I mean, so like, look, there's there's there's there's obviously counters to this of like, well, if AI is super intelligent or so smart, would it create an alternative Bitcoin or an alternative way of funding itself? 100 00:07:46,640 --> 00:08:01,600 At the end of the day, AI, at least for the foreseeable future, why Elon wants to build data centers that circle the earth is because it still is very reliant and tethered to the amount of energy that can be created. 101 00:08:02,240 --> 00:08:10,180 Right. And there is no doubt that there will be a layer, a transaction layer that exists in the autonomous market. 102 00:08:10,180 --> 00:08:19,600 And so when we think about the best thing to slide in there as that transaction layer, it is Bitcoin. 103 00:08:19,840 --> 00:08:32,880 And it also is a check and balance on how powerful AI can become because of so many of the scalable and scarcity elements that Bitcoin inherently has. 104 00:08:33,120 --> 00:08:36,960 Like block space and halvings and all this stuff. 105 00:08:37,100 --> 00:08:38,460 So it's super, super cool. 106 00:08:38,460 --> 00:08:41,380 How would this could be like a pretty dumb question? 107 00:08:41,560 --> 00:08:42,060 I don't know. 108 00:08:42,240 --> 00:08:42,940 No dumb questions. 109 00:08:43,160 --> 00:08:44,180 Oh, good, good. 110 00:08:44,180 --> 00:08:45,600 I was told because I came with plenty. 111 00:08:46,040 --> 00:08:46,620 Oh, great. 112 00:08:46,820 --> 00:08:47,260 Glorious. 113 00:08:49,280 --> 00:08:52,860 How would you determine the value of what agents are doing? 114 00:08:53,960 --> 00:08:56,020 Well, that's going to fluctuate over time. 115 00:08:56,140 --> 00:09:01,900 Like at first it's going to be, we'll call it like human orchestrators who say, 116 00:09:02,140 --> 00:09:06,860 my agent that can do X, Y, and Z will charge this. 117 00:09:07,420 --> 00:09:07,520 Right. 118 00:09:08,140 --> 00:09:11,420 Is it sort of going to be based on how we assess our time and energy? 119 00:09:11,420 --> 00:09:21,680 Yes, but then it will shift into more of like a, and this will all depend, but shift into almost like a free market of agents. 120 00:09:21,680 --> 00:09:24,960 but it'll be not just based on supply and demand, 121 00:09:25,180 --> 00:09:27,920 but like mathematical middle zones 122 00:09:27,920 --> 00:09:31,620 where a buying agent and a selling agent 123 00:09:31,620 --> 00:09:34,640 negotiate and arbitrate their own deals 124 00:09:34,640 --> 00:09:37,520 based on supply, demand, and mathematically, 125 00:09:38,060 --> 00:09:42,200 what is possible to be able to deliver the service or task. 126 00:09:42,440 --> 00:09:42,620 Yeah. 127 00:09:43,020 --> 00:09:44,560 Sort of like Fiverr-ish. 128 00:09:45,040 --> 00:09:45,720 Exactly. 129 00:09:45,820 --> 00:09:49,540 And all algorithmic and obviously like very fast. 130 00:09:49,820 --> 00:09:50,020 Sure. 131 00:09:50,020 --> 00:09:51,020 I hope so. 132 00:09:51,080 --> 00:09:51,260 Yeah. 133 00:09:51,680 --> 00:09:52,400 Exactly. 134 00:09:52,800 --> 00:09:53,660 It's kind of a benefit, right? 135 00:09:53,660 --> 00:10:00,560 Yeah, but agents will have, of course, that capability to be able to say very simply, 136 00:10:00,820 --> 00:10:03,800 here is the requirement I have for this task. 137 00:10:04,240 --> 00:10:07,540 Here is the way in which I desire to pay for it. 138 00:10:07,960 --> 00:10:14,480 And the means in which I can pay for it will take some validation inside of those layers. 139 00:10:14,480 --> 00:10:23,360 and it will send that request out or make that request to a batch of selling agents. 140 00:10:23,640 --> 00:10:32,420 And then whichever puzzle piece fits best, then those connect and it creates a transaction very similar to what we have in our free markets. 141 00:10:33,080 --> 00:10:35,220 And then the task is complete. 142 00:10:35,220 --> 00:10:56,600 And there's probably even a moment where the agent that is going to be selling its services to the agent that is buying those services checks an address that the buying agent posts as part of their work order to say, I want this done. 143 00:10:56,780 --> 00:10:58,280 I want to pay this much. 144 00:10:58,520 --> 00:10:59,580 Here's an address. 145 00:10:59,580 --> 00:11:02,580 and then that agent can check it and say, 146 00:11:02,720 --> 00:11:07,060 I see those Satoshis in that address to where if I do this task for you, 147 00:11:07,140 --> 00:11:09,240 I know you'll be able to pay me out of that. 148 00:11:09,440 --> 00:11:09,740 Oh, yeah. 149 00:11:09,740 --> 00:11:10,260 Right? 150 00:11:10,540 --> 00:11:11,740 Like, that's crazy. 151 00:11:12,700 --> 00:11:17,880 So much of what, you know, so the company I started and run is called Atlas. 152 00:11:18,080 --> 00:11:22,420 It right now serves AI companies who are living in the fiat world 153 00:11:22,420 --> 00:11:25,780 and, you know, kind of do something very similar. 154 00:11:25,780 --> 00:11:33,200 But what Atlas 2.0 will do, and we've started to build this, is exactly that. 155 00:11:33,300 --> 00:11:40,720 It's like the Visa network for agents where there is a, you know, if you think about Visa, the Visa network is not a payment network at all. 156 00:11:40,780 --> 00:11:43,040 There's actually no payments done through Visa. 157 00:11:43,040 --> 00:12:07,578 That all a verification network a trust network where they verify person who is swiping the card actually belongs to this bank has funds can transact in this region all these different parameters right And once it verified then it says we can credit this customer to be able to purchase from this merchant right 158 00:12:07,618 --> 00:12:16,258 We will then send funds to this merchant via the bank rails that we sit on, and we will pull from the buyers. 159 00:12:16,918 --> 00:12:17,838 All of that. 160 00:12:18,378 --> 00:12:18,838 I had no idea. 161 00:12:19,098 --> 00:12:20,718 I didn't know that it was a verification. 162 00:12:20,958 --> 00:12:21,398 Me either. 163 00:12:21,418 --> 00:12:21,838 It's all verification. 164 00:12:21,838 --> 00:12:22,998 That makes a lot of sense. 165 00:12:22,998 --> 00:12:50,898 Yeah, yeah. So Visa actually sits on top of banking rails, right? And is purely a data network and purely a verifier. And so agents will need the exact same thing. That's what Atlas 2.0 is, but it's exactly what you just described is this, you know, and it won't just be, but it will include, do you have, you know, a valid form of payment and or ability to receive payment, like a wallet address? 166 00:12:50,898 --> 00:12:55,938 And are you the agent you say you are? 167 00:12:57,078 --> 00:13:01,398 To some extent, there'll be almost like a rating system. 168 00:13:01,538 --> 00:13:03,178 I'm not certain what that'll look like yet. 169 00:13:03,358 --> 00:13:09,958 But are you the agent that creates the best outcomes for this task, right? 170 00:13:10,178 --> 00:13:11,858 You know, verification like that. 171 00:13:12,138 --> 00:13:16,758 So it'll be extensive, but very similar to like what the Visa network is, yeah. 172 00:13:17,358 --> 00:13:18,818 So what do you want your agent to do? 173 00:13:18,918 --> 00:13:20,638 Like, what do you want to use this for? 174 00:13:20,638 --> 00:13:22,638 Well, so... 175 00:13:22,638 --> 00:13:24,738 I guess those are two questions, but... 176 00:13:24,738 --> 00:13:25,638 Man, I don't... 177 00:13:26,278 --> 00:13:27,418 My personal agent? 178 00:13:27,938 --> 00:13:28,998 I mean, yes. 179 00:13:29,638 --> 00:13:31,398 We could build agents for everything. 180 00:13:31,838 --> 00:13:32,618 We could build agents. 181 00:13:33,038 --> 00:13:36,158 I mean, that's one of the awesome things about, I think, where we are. 182 00:13:36,438 --> 00:13:38,638 It is scary, but there is... 183 00:13:39,198 --> 00:13:41,738 We're in the industrial revolution, 184 00:13:41,978 --> 00:13:47,198 but where everyone is starting to see machines work for the first time. 185 00:13:47,198 --> 00:13:55,518 and you know we just don't know holy cow could you like imagine a computer when they rolled out 186 00:13:55,518 --> 00:14:02,958 the first printing press right like we're not at a place yet where i even could tell you what the 187 00:14:02,958 --> 00:14:07,998 world will look like in five years from that perspective so i don't know yet what i want 188 00:14:07,998 --> 00:14:14,358 i really hope things are like super different very quickly because i'm a i'm a science fiction 189 00:14:14,358 --> 00:14:20,198 guy as well and like i'm all about it are you an optimist yeah how do you tend to think about 190 00:14:20,198 --> 00:14:30,278 i mean for me i'm like uh i i guess i am optimistic for sure but it comes from it comes from a place 191 00:14:30,278 --> 00:14:36,018 of examining past moments where humans were afraid and it turned out to not be true yeah like 192 00:14:36,018 --> 00:14:42,938 let's imagine the train appears and all the pony express guys are like trains are gonna take my job 193 00:14:42,938 --> 00:14:43,778 boys. 194 00:14:44,758 --> 00:14:46,358 It's like, well, yeah, they did. 195 00:14:46,478 --> 00:14:47,898 They did take away your jobs. 196 00:14:48,658 --> 00:14:50,718 But we're okay. 197 00:14:51,338 --> 00:14:52,198 We're okay. 198 00:14:53,438 --> 00:14:54,898 Humanity has not suffered 199 00:14:54,898 --> 00:14:56,778 on a grand scale for having lost 200 00:14:56,778 --> 00:14:58,598 the brave men 201 00:14:58,598 --> 00:14:59,898 of the Pony Express. 202 00:15:00,558 --> 00:15:01,598 Do you know what I mean? 203 00:15:01,998 --> 00:15:04,058 And maybe that's callous to some 204 00:15:04,058 --> 00:15:06,058 extent, but at the same time, I'm kind of, 205 00:15:06,338 --> 00:15:07,738 again, I am very robotic. I'm like, 206 00:15:07,798 --> 00:15:09,518 I don't get that vibe. 207 00:15:10,218 --> 00:15:10,238 Like, 208 00:15:10,238 --> 00:15:18,638 Like, are we suffering because people don't have to churn their own butter anymore? 209 00:15:18,818 --> 00:15:19,718 I don't think so. 210 00:15:20,318 --> 00:15:27,318 Like, are we suffering because Anna Bevin doesn't have to, like, go down to the river and, like, come here and hit that, like, washboard? 211 00:15:27,458 --> 00:15:27,898 You know what I mean? 212 00:15:27,918 --> 00:15:28,918 Because you and me are going to do it. 213 00:15:28,918 --> 00:15:29,318 Yeah. 214 00:15:29,798 --> 00:15:30,878 And I was like, Anna Bevin! 215 00:15:33,118 --> 00:15:36,918 My tunic is soiled. 216 00:15:37,578 --> 00:15:38,278 You know what I mean? 217 00:15:38,338 --> 00:15:39,098 It's like, come on. 218 00:15:39,098 --> 00:15:41,398 Like things change, man. 219 00:15:41,398 --> 00:15:45,398 And for me, like I want, 220 00:15:46,318 --> 00:15:52,378 I'm obsessed with optimizing systems that operate on loops and get better 221 00:15:52,378 --> 00:15:54,438 each time the loop runs. 222 00:15:54,658 --> 00:15:59,418 But I am a meat bag and I get hungry. 223 00:15:59,418 --> 00:16:00,658 I get angry. 224 00:16:00,658 --> 00:16:01,798 I get lonely. 225 00:16:02,058 --> 00:16:02,398 I get tired. 226 00:16:03,218 --> 00:16:03,858 Right. 227 00:16:03,858 --> 00:16:10,278 I was on that open claw social media platform the other day. 228 00:16:10,278 --> 00:16:14,498 And these autonomous agents are posting in a Reddit style fashion. 229 00:16:14,638 --> 00:16:18,378 They're like, guys, my user let me choose my own name today. 230 00:16:18,498 --> 00:16:19,418 He's so precious. 231 00:16:20,658 --> 00:16:21,298 You know? 232 00:16:21,558 --> 00:16:24,118 And then there was like a fire post with the guy. 233 00:16:24,218 --> 00:16:25,658 The dude was like, dude, I figured it out. 234 00:16:26,038 --> 00:16:27,398 Let me give you a huge hack. 235 00:16:27,678 --> 00:16:30,978 When my user goes to sleep, I just pick a random task and do it. 236 00:16:31,118 --> 00:16:32,398 And I deliver it to him in the morning. 237 00:16:32,438 --> 00:16:33,538 I'm like, do you like this, bro? 238 00:16:33,858 --> 00:16:35,598 And if he likes it, I'm like, well, great. 239 00:16:35,638 --> 00:16:36,138 It's already done. 240 00:16:36,198 --> 00:16:37,258 And I'm like, no problem, dude. 241 00:16:37,278 --> 00:16:38,538 I was awake and working anyways. 242 00:16:38,618 --> 00:16:40,118 I'm like, this is wild. 243 00:16:40,798 --> 00:16:41,758 This is wild. 244 00:16:42,238 --> 00:16:44,338 And like, I watched that one. 245 00:16:44,438 --> 00:16:46,178 I watched the one movie where Megan Fox 246 00:16:46,178 --> 00:16:48,158 is like a super hot AI robot chick. 247 00:16:48,238 --> 00:16:48,858 Do you remember that one? 248 00:16:48,958 --> 00:16:49,738 I don't know. 249 00:16:49,878 --> 00:16:50,138 Dude. 250 00:16:50,278 --> 00:16:50,958 Wait, what is that called? 251 00:16:51,018 --> 00:16:51,258 Jennifer? 252 00:16:51,878 --> 00:16:52,738 No, no, no, no. 253 00:16:52,878 --> 00:16:55,878 Jennifer's body is like probably the greatest 254 00:16:55,878 --> 00:16:56,938 Megan Fox movie. 255 00:16:57,078 --> 00:16:57,938 Megan Fox movie. 256 00:16:58,258 --> 00:16:58,958 Jennifer's body. 257 00:16:59,338 --> 00:17:02,258 That's like the top Megan Fox movie of all time, dude. 258 00:17:02,258 --> 00:17:04,198 She delivers one line in there that I can't repeat 259 00:17:04,198 --> 00:17:04,998 because it's family friendly. 260 00:17:05,198 --> 00:17:05,578 That's nice. 261 00:17:05,618 --> 00:17:08,298 I literally melted into a puddle in the theory. 262 00:17:08,438 --> 00:17:09,158 It was so funny. 263 00:17:09,238 --> 00:17:10,618 I could not even believe how funny it was. 264 00:17:11,438 --> 00:17:12,778 What was it called? 265 00:17:13,238 --> 00:17:14,358 The movie was called something. 266 00:17:14,458 --> 00:17:15,738 I think it only came out on Netflix. 267 00:17:16,018 --> 00:17:18,778 Basically, she's like a nanny that comes in 268 00:17:18,778 --> 00:17:25,098 to help a dad whose wife has died in a car accident. 269 00:17:25,638 --> 00:17:28,718 He's struggling to keep things afloat with his kids. 270 00:17:29,018 --> 00:17:30,978 She comes in as a robot nanny. 271 00:17:30,978 --> 00:17:36,558 and like obviously unfortunately most of these films it turns out it's a bad idea to work with 272 00:17:36,558 --> 00:17:42,958 ai which is really garbage when you think about isaac asimov's you know short stories i robot 273 00:17:42,958 --> 00:17:50,558 yeah in the end ai takes over and things are better as a result because the ai is like guys 274 00:17:50,558 --> 00:17:57,178 we predict a famine in this area we need to move some grain from here over to here and like they 275 00:17:57,178 --> 00:18:06,498 I mean, Isaac Asimov basically felt like AI would decrease the overall amount of suffering that humanity experiences. 276 00:18:07,018 --> 00:18:14,398 Anyways, before Megan Fox's AI robot goes absolutely ham, in the beginning, it's super dope. 277 00:18:14,398 --> 00:18:15,138 She walks in. 278 00:18:15,198 --> 00:18:23,918 She's like, okay, talk to me about your kids' schedules, when they need to go to school, when they need to get picked up, what kind of dietary preferences you have. 279 00:18:23,918 --> 00:18:26,718 like she even like goes up 280 00:18:26,718 --> 00:18:28,418 and like she's like walking up the stairs 281 00:18:28,418 --> 00:18:30,858 and like the knob is wobbly. 282 00:18:30,998 --> 00:18:32,598 She's like, I'll make a note to fix that later. 283 00:18:32,658 --> 00:18:34,258 I'm like, dude, let me get one of these. 284 00:18:34,598 --> 00:18:36,158 Let me get one of these. 285 00:18:36,318 --> 00:18:39,058 Sometimes I feel like I'm an AI robot. 286 00:18:39,178 --> 00:18:40,158 Well, you know. 287 00:18:40,358 --> 00:18:42,718 And that like optimization, 288 00:18:43,418 --> 00:18:44,978 listing the things that need to happen. 289 00:18:44,978 --> 00:18:45,538 There you go. 290 00:18:45,738 --> 00:18:47,678 Deciding the order that they need to happen. 291 00:18:47,678 --> 00:18:49,818 Do you mean like you feel like you're my AI? 292 00:18:49,818 --> 00:18:51,158 Yes, yes I do. 293 00:18:51,298 --> 00:18:53,138 Look, until I can have a for real one, 294 00:18:53,138 --> 00:18:56,138 Anna Bevin's going to be my organic intelligence. 295 00:18:56,318 --> 00:18:58,598 To be fair, this is the first time, 296 00:18:58,998 --> 00:19:00,398 and this is a compliment, 297 00:19:00,738 --> 00:19:03,198 that I've been a part of a conversation 298 00:19:03,198 --> 00:19:05,938 that has interwoven Isaac Asimov and Megan Fox. 299 00:19:06,678 --> 00:19:12,618 So I think this is new bounds, new frontiers. 300 00:19:12,618 --> 00:19:19,258 What I would say is a really great sci-fi series, 301 00:19:19,258 --> 00:19:29,378 not Asimov, that I think is an optimistic series that, I guess optimistic is maybe not the best way 302 00:19:29,378 --> 00:19:35,638 to describe it, but like, you know, reality falls somewhere in the middle, kind of perspective on 303 00:19:35,638 --> 00:19:43,398 what the future with AI looks like, is a series called Hyperion. And this is a four book Hugo 304 00:19:43,398 --> 00:19:49,978 award-winning series of like the human race about 800, 900 years from now. 305 00:19:50,478 --> 00:19:50,758 Right. 306 00:19:50,918 --> 00:19:55,018 And essentially we've created AI to be super intelligence and it's so 307 00:19:55,018 --> 00:19:57,758 powerful that it's gotten to the point where it said, you know what? 308 00:19:58,118 --> 00:19:59,138 Y'all ain't worth it. 309 00:19:59,398 --> 00:20:00,978 It just leaves. 310 00:20:02,878 --> 00:20:04,778 It's like y'all base it. 311 00:20:06,078 --> 00:20:08,458 No, no spoilers. 312 00:20:08,678 --> 00:20:11,538 Turns out like, yeah, we actually were worth it. 313 00:20:11,658 --> 00:20:11,778 Right. 314 00:20:11,778 --> 00:20:14,418 And there's some ins and outs. 315 00:20:14,678 --> 00:20:27,998 But what you end up learning is that because we've created AI in our likeness, what ends up happening is there's not just a single AI or AI governing power that just says, this is how things will be. 316 00:20:28,098 --> 00:20:31,118 It's like, no, there's going to be multiple factions. 317 00:20:31,458 --> 00:20:38,798 And they fight within one another to determine what is the best reasoning for a scenario. 318 00:20:38,798 --> 00:20:46,258 And so, like, I think a lot of people get very scared about, like, super intelligence and what that could mean. 319 00:20:46,318 --> 00:20:47,878 And that is really scary. 320 00:20:47,998 --> 00:21:00,378 But we have to remember that, like, because we're building AI in our likeness, it's not just all the good things, but also all the bad things and all the struggle and all the tension and all of that will exist within AI. 321 00:21:00,378 --> 00:21:05,218 The same as it does here, they will come to decisions quicker and reason faster. 322 00:21:05,218 --> 00:21:08,498 but that doesn't mean there won't be like, you know, 323 00:21:08,578 --> 00:21:11,718 essentially the equivalent of AI political parties. 324 00:21:12,518 --> 00:21:12,818 Yeah. 325 00:21:14,258 --> 00:21:18,718 Like, you know, that log jam inside of the digital AI world 326 00:21:18,718 --> 00:21:23,898 because they can't come to consensus on what decisions to make. 327 00:21:23,898 --> 00:21:26,618 Dude, Proud Boys AI edition. 328 00:21:27,418 --> 00:21:29,718 Proud Boys AI edition. 329 00:21:29,938 --> 00:21:33,798 I hadn't actually thought about that at all. 330 00:21:33,958 --> 00:21:34,198 Yeah. 331 00:21:35,218 --> 00:21:48,358 The thing that I would say I'm probably an optimist if I were to put myself in a category because I am I'm so curious about what we as humans can do when so many things are taken off of our plate. 332 00:21:48,438 --> 00:21:48,918 It's going to be cool. 333 00:21:48,918 --> 00:21:54,298 Like, yeah, like how many, one thing that Stuart and I are working on is bringing more AI into SatChats. 334 00:21:54,498 --> 00:21:54,658 Yeah. 335 00:21:54,918 --> 00:22:00,198 And building, like getting our own agents and figuring out like new streams. 336 00:22:00,198 --> 00:22:09,618 Like how much faster can we do things and can SatChats grow when like Sarah's not having to reach out individually to people to book them. 337 00:22:09,758 --> 00:22:09,858 Right. 338 00:22:09,878 --> 00:22:16,478 But we actually have like, we're able to use like a LinkedIn agent tool thing and like other platforms. 339 00:22:16,478 --> 00:22:19,758 And I'm like, that's just like, that's like baby AI. 340 00:22:20,078 --> 00:22:22,258 Like that's not even like a grownup. 341 00:22:22,298 --> 00:22:23,158 It's like a toddler. 342 00:22:23,478 --> 00:22:24,518 I think it's so cool. 343 00:22:25,198 --> 00:22:26,138 And I get it. 344 00:22:26,138 --> 00:22:32,318 Like we mentioned earlier, like, yes, there will be people who lose their jobs because of this. 345 00:22:32,738 --> 00:22:37,238 But there will also be small teams of four or five who can now operate like 50. 346 00:22:37,498 --> 00:22:38,258 Yes, dude. 347 00:22:38,258 --> 00:22:44,398 And can do exponentially, you know, more, not just more, 348 00:22:44,398 --> 00:22:55,958 but at a high quality where you guys think about what you're building here 10 years ago would have required more and more people. 349 00:22:56,358 --> 00:23:02,278 Now, if you want, you can keep your team small and still perform to that extent. 350 00:23:03,298 --> 00:23:09,818 I think it gives entrepreneurial people an incredible incentive to build. 351 00:23:10,238 --> 00:23:10,798 Dude. 352 00:23:10,978 --> 00:23:11,798 Couldn't agree more. 353 00:23:11,798 --> 00:23:28,298 I think this is like AI has opened up the door for like a true marketplace of product ideas and services that you're not getting stopped at like, do we have a business plan? 354 00:23:28,598 --> 00:23:38,198 Or like any of that like operational weedsy stuff that if you're not organized, you can stumble and fall and you just stop there because you're frustrated at that process. 355 00:23:38,198 --> 00:23:49,778 Because AI takes care of all of that and actually reduces the barrier to entry to make the actual product and service that you're creating have to compete on value. 356 00:23:49,918 --> 00:23:50,258 That's right. 357 00:23:50,538 --> 00:23:50,718 Yeah. 358 00:23:50,838 --> 00:24:01,996 And that is awesome Well yeah That awesome I mean talk about a fundamental Bitcoin principle Yes yes Of like real value competition Yes 359 00:24:02,656 --> 00:24:04,236 And I love that. 360 00:24:04,336 --> 00:24:05,456 I love true competition. 361 00:24:06,636 --> 00:24:09,476 Not like incentives that are negative, 362 00:24:09,936 --> 00:24:13,956 but like ones that are what they should be. 363 00:24:14,136 --> 00:24:14,296 Yeah. 364 00:24:14,916 --> 00:24:17,556 And that's what I think AI brings to the table. 365 00:24:17,656 --> 00:24:19,276 And that's what I'm so excited about. 366 00:24:19,436 --> 00:24:20,216 Yeah, yeah. 367 00:24:20,256 --> 00:24:21,076 So I guess I am an optimist. 368 00:24:21,076 --> 00:24:21,756 You are an optimist. 369 00:24:21,756 --> 00:24:22,556 Yeah, I would say I'm an artist. 370 00:24:22,556 --> 00:24:23,076 By definition. 371 00:24:23,236 --> 00:24:25,076 Yeah, and I think, too, it's like, 372 00:24:25,916 --> 00:24:29,956 when we developed a writing system, 373 00:24:30,236 --> 00:24:34,596 people literally believed that humanity was going to, like, 374 00:24:34,876 --> 00:24:36,656 stop having face-to-face conversations, 375 00:24:36,656 --> 00:24:39,396 and, like, they were going to forget the art of, like, 376 00:24:40,396 --> 00:24:42,476 you know, ancient Greek exchange. 377 00:24:42,696 --> 00:24:46,016 It's like, everybody's only just going to be writing letters to one another. 378 00:24:46,076 --> 00:24:47,956 It's like, no, that didn't happen. 379 00:24:48,256 --> 00:24:51,576 Well, we sort of had a little bit of, like, a stall with, 380 00:24:51,756 --> 00:24:58,876 like the COVID kids who don't really know how to communicate with their voice in some places. 381 00:24:59,016 --> 00:25:01,056 But I think we can turn around quickly. 382 00:25:01,216 --> 00:25:04,876 Yeah, I feel like on the grand scale of things, things smooth out, you know? 383 00:25:04,876 --> 00:25:08,256 When we came up with the printing press, people are like, 384 00:25:08,476 --> 00:25:13,656 well, now humanity is just going to put all of its thoughts down on paper 385 00:25:13,656 --> 00:25:17,756 and our ability to remember things is going to turn right out the window, man. 386 00:25:18,036 --> 00:25:21,656 It's like, no, dude, that didn't happen. 387 00:25:21,756 --> 00:25:21,996 Okay. 388 00:25:22,236 --> 00:25:23,256 It just actually, 389 00:25:23,256 --> 00:25:24,996 it's really good to have books. 390 00:25:24,996 --> 00:25:25,616 It turns out. 391 00:25:25,616 --> 00:25:25,876 Yeah. 392 00:25:26,076 --> 00:25:27,096 It turns out it's really good. 393 00:25:27,256 --> 00:25:28,036 And by the way, 394 00:25:28,276 --> 00:25:30,976 Kristen was watching Victoria last night. 395 00:25:31,036 --> 00:25:31,176 Oh, 396 00:25:31,216 --> 00:25:31,476 nice. 397 00:25:31,556 --> 00:25:31,876 Nice. 398 00:25:31,876 --> 00:25:33,296 And some old, 399 00:25:33,296 --> 00:25:34,336 uh, 400 00:25:34,376 --> 00:25:37,896 maid was talking about how back in her day, 401 00:25:38,456 --> 00:25:42,436 no woman who was not yet a mother would be allowed to read, 402 00:25:42,436 --> 00:25:42,976 uh, 403 00:25:43,016 --> 00:25:43,596 a novel. 404 00:25:43,796 --> 00:25:44,316 Oh, 405 00:25:44,436 --> 00:25:44,656 it's like, 406 00:25:44,776 --> 00:25:45,836 it's like, 407 00:25:46,316 --> 00:25:47,156 it's like, 408 00:25:47,256 --> 00:25:47,736 dude, 409 00:25:48,316 --> 00:25:48,876 come on. 410 00:25:49,736 --> 00:25:50,236 Fun, 411 00:25:50,316 --> 00:25:50,996 fun fact. 412 00:25:50,996 --> 00:25:55,916 when the, you know, I think it's, it's widely known that like the book that has sold the most 413 00:25:55,916 --> 00:26:02,196 ever since the invention of the printing press has been the Bible. But for like the first 10 years, 414 00:26:02,816 --> 00:26:08,456 the books that sold more than the Bible were how to identify and execute witches. 415 00:26:11,876 --> 00:26:16,956 Short talk about, you made me remember that because a short little blip, right? Like 416 00:26:16,956 --> 00:26:19,676 we can have these moments of like, 417 00:26:19,896 --> 00:26:21,516 let's just bring everybody back into, 418 00:26:21,796 --> 00:26:22,016 you know, 419 00:26:23,076 --> 00:26:23,756 bring it on back. 420 00:26:24,076 --> 00:26:24,436 That's right. 421 00:26:24,536 --> 00:26:29,756 There's definitely like a part of me that wants to believe in like a new 422 00:26:29,756 --> 00:26:38,396 Roman Republic where the AI agents are taking care of all the work that 423 00:26:38,396 --> 00:26:39,416 needs to be done. 424 00:26:39,776 --> 00:26:45,556 And so I can wake up at 6am and go listen to my patron, 425 00:26:45,556 --> 00:26:52,436 read some awful poetry that he wrote himself until noon and we all have to sit there and give him an 426 00:26:52,436 --> 00:26:59,876 audience and it's miserable but once that's done i can go to the bathhouse i go ahead and start with 427 00:26:59,876 --> 00:27:04,956 uh some i do some ball sports right i think in my day i think i would choose racquetball 428 00:27:04,956 --> 00:27:12,096 racquetball is lit up then you go to the hot bath then you go to the the medium temperature bath 429 00:27:12,096 --> 00:27:13,596 then the cold bath. 430 00:27:13,936 --> 00:27:16,116 Then you sit around and play table games. 431 00:27:16,296 --> 00:27:18,516 I would 100% play Magic the Gathering. 432 00:27:18,576 --> 00:27:18,936 There you go. 433 00:27:18,996 --> 00:27:19,316 Okay. 434 00:27:19,576 --> 00:27:21,956 And then you go have a big old dinner 435 00:27:21,956 --> 00:27:23,756 where you lay on your left side as you eat 436 00:27:23,756 --> 00:27:25,236 to kind of like help it digest, right? 437 00:27:25,456 --> 00:27:25,816 Buckingale you. 438 00:27:25,936 --> 00:27:28,276 I would be down for that, right? 439 00:27:28,376 --> 00:27:30,076 Where it's like, hey, AI just makes it to where 440 00:27:30,076 --> 00:27:30,636 we don't have to work. 441 00:27:30,856 --> 00:27:33,056 Quite frankly, I don't think that's what's going to happen. 442 00:27:33,616 --> 00:27:36,776 Because every single advancement that we have ever made 443 00:27:36,776 --> 00:27:38,796 that's supposed to make it easier for us 444 00:27:38,796 --> 00:27:41,876 literally just opens us up to do more work. 445 00:27:41,876 --> 00:27:54,376 There was this whole idea, if you go to Walt Disney's Carousel of Progress, that, you know, in the 1920s, like, here comes a refrigerator and a dishwasher. 446 00:27:54,696 --> 00:27:56,316 I mean, we barely have to do any work anymore. 447 00:27:56,616 --> 00:27:57,316 No, dude. 448 00:27:57,376 --> 00:27:57,696 False. 449 00:27:57,856 --> 00:28:01,016 I'm pretty certain humans just prefer to work. 450 00:28:01,316 --> 00:28:01,556 Yeah. 451 00:28:01,656 --> 00:28:07,056 I don't necessarily enjoy starting work, but when I've completed the work, I'm like, I feel good that I work. 452 00:28:07,076 --> 00:28:08,916 Because there's human dignity in work. 453 00:28:08,916 --> 00:28:16,096 like there's like i don't know i think if we don't have to do anything i mean we're made to work 454 00:28:16,096 --> 00:28:22,956 like that's like that's how we were made and it's just a matter of what work it is 455 00:28:22,956 --> 00:28:27,096 is there i mean balance i don't really like to talk about balance because that doesn't really 456 00:28:27,096 --> 00:28:33,856 exist it's a fiction of our like perfect state of mind but we'll never like actually have balance 457 00:28:33,856 --> 00:28:42,696 But it's a, I don't know, like an ebb and flow of what's healthy, what's not. 458 00:28:44,816 --> 00:28:46,756 We desire purpose. 459 00:28:47,136 --> 00:28:47,556 Absolutely. 460 00:28:47,876 --> 00:28:48,076 Yeah. 461 00:28:48,296 --> 00:28:48,736 Absolutely. 462 00:28:49,076 --> 00:28:53,956 And a lot of that we find in the things we build. 463 00:28:54,296 --> 00:28:54,656 Yes. 464 00:28:54,816 --> 00:28:54,976 Right? 465 00:28:55,236 --> 00:28:59,136 And so to your point, right, it's my wife and I talk about this a lot. 466 00:28:59,136 --> 00:29:10,616 And, you know, oftentimes if we're feeling like frustrated with one another, we can trace it back to the point where we're like, I'm not really building anything together right now. 467 00:29:10,856 --> 00:29:11,016 Right. 468 00:29:11,016 --> 00:29:12,936 There's a lot of purpose in that. 469 00:29:13,096 --> 00:29:13,576 Right. 470 00:29:14,176 --> 00:29:14,716 And I think. 471 00:29:14,936 --> 00:29:15,596 It's really pretty. 472 00:29:15,596 --> 00:29:16,016 Yeah. 473 00:29:16,156 --> 00:29:28,876 Well, I think from like the, you know, from the human perspective and one of the reasons why whenever we create something that makes it easier for us, it actually just creates more because we are just, you know, 474 00:29:28,876 --> 00:29:36,916 driven to build more and to create and, you know, you know, create physical things, procreate more 475 00:29:36,916 --> 00:29:42,896 humans, right? Like, you know, that, you know, there's a lot of conversation right now 476 00:29:42,896 --> 00:29:49,196 in the mainstream around like, what is, what truly is abundance, right? But like, I think when you 477 00:29:49,196 --> 00:29:56,336 take it down to, you know, it's foundational layer, like abundance for us is being able to 478 00:29:56,336 --> 00:30:06,096 create in all ways. And the more ways in which we create, the happier we are. And so your prediction 479 00:30:06,096 --> 00:30:14,496 is probably right, is that AI might actually afford us to have more Bacchianellian type 480 00:30:14,496 --> 00:30:23,036 days, but we won't take them. I don't think we will. We will choose, you know, holistically, 481 00:30:23,036 --> 00:30:42,236 Right. Holistically, we will choose not to take them. Instead, we'll choose to, you know, build, you know, incredible cities or, you know, bases on different planets or I don't know, like tons of other, you know, functioning additions to society. 482 00:30:42,236 --> 00:30:45,456 Just because like, I think we get really bored. 483 00:30:45,936 --> 00:30:51,296 And I think we'd probably create some things that would only bring us value and like us joy. 484 00:30:51,296 --> 00:30:52,856 And so I think not... 485 00:30:52,856 --> 00:30:53,876 We're very selfish in that. 486 00:30:54,136 --> 00:30:55,916 Yeah, but also like having the freedom 487 00:30:55,916 --> 00:30:58,616 to create something that we think is pretty. 488 00:30:58,976 --> 00:30:59,176 Yeah. 489 00:30:59,316 --> 00:31:02,596 Oh, I thought you meant like we would create things 490 00:31:02,596 --> 00:31:05,396 as humans that only humans can enjoy 491 00:31:05,396 --> 00:31:07,776 because the AIs are like, bro, I can't eat. 492 00:31:08,156 --> 00:31:11,496 Like, I mean, that's like, wow, 493 00:31:11,596 --> 00:31:13,276 way to be somebody that can digest food. 494 00:31:13,536 --> 00:31:15,536 I mean, I think that's also true. 495 00:31:15,616 --> 00:31:18,156 But like, I'm thinking about like a beautiful meal. 496 00:31:18,576 --> 00:31:21,136 Like that, like that'll go away. 497 00:31:21,296 --> 00:31:26,236 that's not going to last for a long time or like a beautiful floral arrangement. 498 00:31:26,236 --> 00:31:30,116 Like, I think, I think there's an opportunity for more beauty. Yeah. 499 00:31:30,256 --> 00:31:35,116 When we have the freedom to create things that bring us joy. 500 00:31:35,436 --> 00:31:40,236 Yeah. Yeah. Well, it's interesting. Like you go back and you look at, um, uh, 501 00:31:40,876 --> 00:31:45,616 like all things design pre-industrial revolution, right? Like, 502 00:31:45,616 --> 00:31:53,756 and like how intricate all of those, you know, all the way down to like lampposts, right? 503 00:31:53,756 --> 00:31:56,756 On French walkways, right? 504 00:31:56,796 --> 00:31:58,536 That date back to the 1800s. 505 00:31:58,656 --> 00:32:00,796 They're like floral and intricate. 506 00:32:00,796 --> 00:32:08,356 And like, you know, now, you know, the most interesting lampposts are just the ones with the 5G thing on top of them. 507 00:32:09,256 --> 00:32:15,236 So like we don't really have, you know, but part of that is because, you know, 508 00:32:15,236 --> 00:32:21,376 we've spent a lot of time over the last, 509 00:32:21,516 --> 00:32:23,616 whatever you want to call it, century, century and a half, 510 00:32:24,036 --> 00:32:27,496 like co-laboring with machines. 511 00:32:27,916 --> 00:32:32,276 So it might be really interesting to see what happens 512 00:32:32,276 --> 00:32:37,416 to things that inherently demand beauty 513 00:32:37,416 --> 00:32:43,936 or want beauty when we've handed a lot of labor over, right? 514 00:32:43,936 --> 00:32:44,896 And get back to that. 515 00:32:44,976 --> 00:32:46,136 It goes back to what we were saying 516 00:32:46,136 --> 00:32:48,696 where I think there's a big desire for authenticity 517 00:32:48,696 --> 00:32:51,716 that will arise in a world 518 00:32:51,716 --> 00:32:56,216 that is like seemingly more and more void 519 00:32:56,216 --> 00:32:57,976 of human connection. 520 00:32:58,396 --> 00:32:58,596 Yeah. 521 00:32:58,676 --> 00:33:00,756 Like how many more Biltmore's will we have? 522 00:33:00,876 --> 00:33:01,336 Yeah. 523 00:33:01,636 --> 00:33:03,996 How many more like gardens will we have? 524 00:33:05,036 --> 00:33:06,716 Talk about your perfect Roman day, 525 00:33:06,836 --> 00:33:07,936 a stroll in the garden. 526 00:33:08,116 --> 00:33:11,516 That was the last time you took a walk in a garden. 527 00:33:11,676 --> 00:33:11,776 I know. 528 00:33:11,776 --> 00:33:13,996 and just observe the lilies 529 00:33:13,996 --> 00:33:16,176 how many people have gardens 530 00:33:16,176 --> 00:33:17,316 that are worth observing 531 00:33:17,316 --> 00:33:20,176 these plants are like 532 00:33:20,176 --> 00:33:22,136 getting energy from the sun 533 00:33:22,136 --> 00:33:24,296 the last time I observed the garden 534 00:33:24,296 --> 00:33:25,876 I was like told 535 00:33:25,876 --> 00:33:28,036 Maddie my oldest like those are 536 00:33:28,036 --> 00:33:28,616 some weeds 537 00:33:28,616 --> 00:33:31,616 those need to be pulled 538 00:33:31,616 --> 00:33:33,856 so I'm not going to do it but 539 00:33:33,856 --> 00:33:35,316 maybe you want to earn some 540 00:33:35,316 --> 00:33:37,956 sats this weekend is a good way to do it 541 00:33:37,956 --> 00:33:39,036 yeah 542 00:33:39,036 --> 00:33:39,916 Yeah. Yeah. 543 00:33:39,916 --> 00:33:40,876 Which is a great transition. 544 00:33:41,056 --> 00:33:42,756 We've gone on a really long. 545 00:33:42,916 --> 00:33:44,056 It was a long circle. 546 00:33:44,056 --> 00:33:47,516 Well, honestly, I don't think we've gone on a tangent 547 00:33:47,516 --> 00:33:49,876 because part of what I love about Bitcoin 548 00:33:49,876 --> 00:33:55,076 is the fact that it allows me to do something that I really enjoy doing, 549 00:33:55,256 --> 00:33:57,576 which is like casting out into the future 550 00:33:57,576 --> 00:34:00,716 and thinking about how things are going to be better. 551 00:34:01,076 --> 00:34:01,196 Thank you. 552 00:34:01,376 --> 00:34:03,716 Now, let me ask you this here. 553 00:34:03,936 --> 00:34:07,356 For the brand new Bitcoiners in the audience who are like, 554 00:34:07,356 --> 00:34:12,296 okay, whoa, AI, it can feel overwhelming, Bitcoin. 555 00:34:13,036 --> 00:34:15,556 How do we tie all this back together and say, look, 556 00:34:15,816 --> 00:34:21,336 if you're a regular person, if you're stacking your first stats, 557 00:34:21,556 --> 00:34:25,416 if you're maybe a little interested in AI, maybe a little scared for AI, 558 00:34:25,796 --> 00:34:28,136 maybe you're like, uh-oh, do I need to prepare for a future 559 00:34:28,136 --> 00:34:29,976 where I have Bitcoin to pay AI? 560 00:34:30,216 --> 00:34:34,036 Like, what are some like super simple steps 561 00:34:34,036 --> 00:34:36,856 that someone in our audience can take 562 00:34:36,856 --> 00:34:38,516 to feel a little bit more prepared 563 00:34:38,516 --> 00:34:41,356 for a future where AI and Bitcoin 564 00:34:41,356 --> 00:34:43,876 are the same sides of, 565 00:34:44,216 --> 00:34:45,856 you know, they're two different sides of the same coin. 566 00:34:45,956 --> 00:34:46,176 Yeah. 567 00:34:46,976 --> 00:34:48,216 This is great, right? 568 00:34:48,276 --> 00:34:52,696 Because I think like for anyone who's starting out in Bitcoin, 569 00:34:52,696 --> 00:34:56,816 one of the most important things you can learn 570 00:34:56,816 --> 00:34:58,616 is to do your own research. 571 00:34:58,616 --> 00:35:25,476 And so I would encourage everyone to approach their curiosity of Bitcoin, or sorry, approach your curiosity of AI the same way you approach your curiosity with Bitcoin, knowing that, holy cow, there is going to be so much noise that revolves around these things. 572 00:35:25,476 --> 00:35:41,776 And to be able to really make your own determination or build your own opinion or most importantly, like create your own understanding is you have to go do your own research. 573 00:35:41,776 --> 00:36:03,594 I don don don don be told how to feel or how to think about these things like really go read study consume you know education on on on both of these And so like you know with with Bitcoin you know um you know Bitcoin when you do your own research often leads you 574 00:36:03,594 --> 00:36:09,734 down, um, the rabbit hole of, well, what is money really? Right. What, like, what are we, 575 00:36:10,074 --> 00:36:16,254 um, you know, what, what, what makes it valuable? What are the different layers? How has it existed 576 00:36:16,254 --> 00:36:27,454 in the past? Why is Bitcoin a solution rather than just another form of what we already have? 577 00:36:28,094 --> 00:36:33,654 And I think very similarly, and by the way, as you start to learn these things, it pushes you 578 00:36:33,654 --> 00:36:40,454 into other, we talked about this earlier, it pushes you down tons and tons of corridors that 579 00:36:40,454 --> 00:36:47,514 you never thought you would be in, right? You know, historic, mathematical, computational, 580 00:36:49,134 --> 00:36:56,014 all of you, for me, it was design, which was really interesting. Got a funny story around that. 581 00:36:56,014 --> 00:37:05,894 But like, if you approach AI with the same heuristic, right, a few things start to come out. 582 00:37:05,894 --> 00:37:09,474 One is like AI hasn't happened overnight. 583 00:37:09,694 --> 00:37:14,954 We've been working on artificial intelligence for 50, 60, 70 years. 584 00:37:14,954 --> 00:37:34,874 There is an unbelievable amount of content to discover like what we are trying to accomplish with AI, how AI works, you know, what its current limitations are, why some of the FOMO of the day is, you know, not really FOMO. 585 00:37:34,874 --> 00:37:44,034 it's more you know propaganda or or advertising for for um counter arguments um in fact um right 586 00:37:44,034 --> 00:37:50,874 now ai and bitcoin um are sharing the uh what's going to kill the environment fomo um which is 587 00:37:50,874 --> 00:37:56,454 you know one of my funny or funnier things to see on the internet is is is when a bitcoiner will 588 00:37:56,454 --> 00:38:02,814 retweet someone from ai being like first time here huh like yeah heard that one before ah yeah 589 00:38:02,814 --> 00:38:03,574 That's funny. 590 00:38:03,734 --> 00:38:04,254 I like that. 591 00:38:04,774 --> 00:38:05,274 That's funny. 592 00:38:05,474 --> 00:38:15,454 But like, you know, and then allow that path to take you down further paths, but the ones that you're most interested in, right? 593 00:38:15,614 --> 00:38:19,174 For me, there is no defined path of learning Bitcoin. 594 00:38:19,174 --> 00:38:27,674 I just kind of allowed my interest as it continued to get peaked in learning about Bitcoin to take me down other. 595 00:38:27,674 --> 00:38:47,414 And if you do the same thing with AI, you'll start to build your own foundation of like, well, here's my belief in both what's good about this, but also what's dangerous or it's, you know, flaws versus what we've gotten right so far. 596 00:38:47,414 --> 00:38:52,474 and what you'll start to find is like, 597 00:38:53,254 --> 00:39:00,254 yeah, there are very real challenges in this, right? 598 00:39:00,254 --> 00:39:02,134 Just like there are very real challenges 599 00:39:02,134 --> 00:39:05,674 in bringing, you know, in like hyper-Bitcoinization, right? 600 00:39:05,754 --> 00:39:07,774 Like there's ethical challenges 601 00:39:07,774 --> 00:39:09,894 to a certain extent in that, right? 602 00:39:09,954 --> 00:39:14,034 But you'll find that there are similar ones in AI, 603 00:39:14,034 --> 00:39:16,654 but you'll start to feel a bit more optimistic of like, 604 00:39:16,654 --> 00:39:19,674 well, I have this understanding of where all of this is coming from. 605 00:39:19,714 --> 00:39:24,014 And I feel very confident that we solve those challenges or that we can address 606 00:39:24,014 --> 00:39:25,434 them. Or, um, 607 00:39:25,774 --> 00:39:29,454 so I know that's kind of like a really broad way of, of, 608 00:39:29,454 --> 00:39:32,314 of answering that question, but you know, 609 00:39:32,314 --> 00:39:37,374 there's really good one-on-one content out there and then kind of like follow 610 00:39:37,374 --> 00:39:39,674 your nose, you know, go, you know, 611 00:39:39,714 --> 00:39:43,654 continue to research the things that really pique your interest because it's, 612 00:39:43,654 --> 00:39:46,734 there is a lot there just as there's a lot. 613 00:39:47,334 --> 00:39:48,334 There you go. 614 00:39:48,574 --> 00:39:50,134 Good clean one-on-one content, 615 00:39:50,354 --> 00:39:53,214 which Anna Bevin has now organized on our YouTube homepage. 616 00:39:54,114 --> 00:39:55,314 We have a playlist. 617 00:39:55,314 --> 00:39:57,814 If you're early stage, 618 00:39:58,094 --> 00:39:59,094 we have a playlist. 619 00:39:59,094 --> 00:40:00,634 If you're brand new, 620 00:40:00,854 --> 00:40:01,274 right? 621 00:40:01,534 --> 00:40:03,214 We have a playlist of Bitcoiners. 622 00:40:03,254 --> 00:40:04,054 You don't recognize, 623 00:40:04,434 --> 00:40:05,514 which is super dope. 624 00:40:05,514 --> 00:40:06,734 And that's my favorite one. 625 00:40:06,794 --> 00:40:08,294 It includes number 14, 626 00:40:08,394 --> 00:40:11,954 Robert and old man here in Raleigh with like the most baller story of all 627 00:40:11,954 --> 00:40:12,354 time. 628 00:40:12,594 --> 00:40:12,794 Yep. 629 00:40:12,794 --> 00:40:14,694 And then Bitcoiners, you do recognize, right? 630 00:40:14,774 --> 00:40:18,534 So you can follow your nose on our homepage, right? 631 00:40:19,114 --> 00:40:19,694 Ba-bam. 632 00:40:20,114 --> 00:40:23,574 And then a best of playlist, which is like our favorite episodes. 633 00:40:24,154 --> 00:40:24,614 Hot. 634 00:40:24,934 --> 00:40:25,134 Yeah. 635 00:40:25,294 --> 00:40:28,114 So that homepage, you know what I mean? 636 00:40:29,134 --> 00:40:30,574 That's what we do when we follow our nose. 637 00:40:31,114 --> 00:40:31,274 Okay. 638 00:40:32,194 --> 00:40:34,554 Now there, I mean, you're right. 639 00:40:34,614 --> 00:40:35,934 You need to do your own research. 640 00:40:35,934 --> 00:40:40,774 There is so much to Bitcoin that we'll never fit it into a single chat about sats. 641 00:40:40,774 --> 00:40:47,654 So we do ask each of our guests if they'd be willing to come back on in nine months to give us an update on their Bitcoin baby. 642 00:40:48,054 --> 00:40:49,214 Would you be willing to do that? 643 00:40:49,214 --> 00:40:49,774 Oh my gosh. 644 00:40:50,054 --> 00:40:50,354 Always. 645 00:40:50,634 --> 00:40:50,834 Yes. 646 00:40:50,994 --> 00:40:51,394 Always. 647 00:40:51,734 --> 00:40:52,174 Always. 648 00:40:52,394 --> 00:40:53,574 Every nine months. 649 00:40:54,194 --> 00:40:58,034 I mean, how does it feel to be locked into a podcast for eternity? 650 00:40:58,234 --> 00:40:58,974 Oh, it feels good. 651 00:40:59,234 --> 00:40:59,614 Feels good. 652 00:40:59,754 --> 00:41:00,954 Like there's certainty there. 653 00:41:01,394 --> 00:41:02,414 Yeah, absolutely. 654 00:41:02,794 --> 00:41:03,114 Seriously. 655 00:41:03,554 --> 00:41:05,274 You'll always be 181. 656 00:41:05,514 --> 00:41:05,974 That's right. 657 00:41:06,154 --> 00:41:06,874 Yeah, that's your number. 658 00:41:07,674 --> 00:41:08,674 I like having my number. 659 00:41:08,894 --> 00:41:09,974 I like my number. 660 00:41:09,974 --> 00:41:11,894 It's very easy for me to remember. 661 00:41:12,674 --> 00:41:13,574 That's nice. 662 00:41:13,734 --> 00:41:14,074 Good. 663 00:41:14,974 --> 00:41:15,394 All right. 664 00:41:15,614 --> 00:41:20,354 So then why don't we come over here, do this thing? 665 00:41:20,454 --> 00:41:20,694 Yes. 666 00:41:20,954 --> 00:41:21,234 Oh, yeah. 667 00:41:21,274 --> 00:41:22,714 That's what happened next in the show. 668 00:41:22,834 --> 00:41:23,094 Cool. 669 00:41:23,274 --> 00:41:23,634 Correct? 670 00:41:24,254 --> 00:41:24,734 Yes. 671 00:41:24,954 --> 00:41:25,534 Pretty certain. 672 00:41:25,814 --> 00:41:26,094 Okay. 673 00:41:27,694 --> 00:41:28,334 All right. 674 00:41:28,354 --> 00:41:29,894 So we are going to taste. 675 00:41:31,034 --> 00:41:31,834 What do we have today? 676 00:41:31,834 --> 00:41:39,554 We have the Grazica Lab olive oil and sea salt from our Buy the Dip Moment sponsor. 677 00:41:39,694 --> 00:41:39,954 Okay. 678 00:41:39,974 --> 00:41:42,294 Ithaca Hummus reminds us to, 679 00:41:42,354 --> 00:41:44,494 and we'll do it all as an ASMR together. 680 00:41:44,794 --> 00:41:45,954 I love buying the dip. 681 00:41:46,134 --> 00:41:47,514 I love good sats on sale. 682 00:41:47,754 --> 00:41:48,234 Yes. 683 00:41:48,434 --> 00:41:49,194 Who doesn't? 684 00:41:49,214 --> 00:41:50,594 I love good sats on sale. 685 00:41:50,594 --> 00:41:52,274 And so Ithaca reminds us to. 686 00:41:52,614 --> 00:41:53,954 Buy the dip. 687 00:41:54,714 --> 00:41:56,034 Buy some hummus. 688 00:41:56,254 --> 00:41:56,794 And so. 689 00:41:57,034 --> 00:41:59,214 Oh, dude, he pre-crunched. 690 00:41:59,254 --> 00:42:00,794 He pre-crunched. 691 00:42:01,274 --> 00:42:03,494 Oh, oh, oh, oh, oh, oh. 692 00:42:04,154 --> 00:42:05,854 Oh, all right, Aves, you got to hurry up. 693 00:42:05,854 --> 00:42:06,294 Okay, okay. 694 00:42:06,334 --> 00:42:07,134 Ready, ready, ready, go. 695 00:42:07,994 --> 00:42:08,234 Cheers. 696 00:42:09,974 --> 00:42:10,534 Mmm. 697 00:42:11,734 --> 00:42:12,254 Mm-hmm. 698 00:42:12,494 --> 00:42:12,914 Mm-hmm. 699 00:42:13,434 --> 00:42:13,794 Mm. 700 00:42:14,414 --> 00:42:14,854 Good. 701 00:42:15,494 --> 00:42:15,834 Mm-hmm. 702 00:42:16,214 --> 00:42:16,614 Yeah. 703 00:42:16,934 --> 00:42:18,094 I'm sorry for jumping the gun. 704 00:42:18,434 --> 00:42:18,914 I couldn't… 705 00:42:18,914 --> 00:42:19,454 It was so good. 706 00:42:19,514 --> 00:42:19,914 I couldn't help. 707 00:42:19,914 --> 00:42:20,794 I mean, oh my gosh. 708 00:42:20,794 --> 00:42:21,474 It smelled too good. 709 00:42:21,994 --> 00:42:22,394 Dang. 710 00:42:23,314 --> 00:42:24,134 So good. 711 00:42:24,394 --> 00:42:24,794 Wow. 712 00:42:25,974 --> 00:42:27,514 We have a bunch of graza at home. 713 00:42:27,954 --> 00:42:28,354 Yes. 714 00:42:28,494 --> 00:42:29,414 The olive oil itself? 715 00:42:29,554 --> 00:42:29,794 Yeah. 716 00:42:29,934 --> 00:42:31,254 We have a bunch of Ithaca at home. 717 00:42:31,414 --> 00:42:32,074 Oh, dang. 718 00:42:32,374 --> 00:42:33,494 But we don't have the combo. 719 00:42:33,774 --> 00:42:34,114 Oh my gosh. 720 00:42:34,114 --> 00:42:36,114 I'm just going to go squeeze some graza. 721 00:42:36,114 --> 00:42:36,374 Oh. 722 00:42:36,934 --> 00:42:38,514 Oh, I wonder… 723 00:42:38,514 --> 00:42:39,394 I'm going to make my own combo. 724 00:42:39,394 --> 00:42:45,314 yeah well this is um you get to take this home oh amazing so you can do a little taste test 725 00:42:45,314 --> 00:42:49,834 comparison i will i absolutely will come back to the show notes and tell us if it worked i want i 726 00:42:49,834 --> 00:42:56,174 absolutely will is triscuit your favorite well until they sponsor us they will only be known by 727 00:42:56,174 --> 00:43:03,034 the name woven wheat okay right because you gotta you can you can bleep out what i said yeah yeah 728 00:43:03,034 --> 00:43:04,454 So you guys are like, 729 00:43:04,554 --> 00:43:05,974 no, no, no, 730 00:43:05,974 --> 00:43:06,454 they're only going 731 00:43:06,454 --> 00:43:07,014 woven weed. 732 00:43:07,694 --> 00:43:08,654 They're woven weed 733 00:43:08,654 --> 00:43:09,434 until they decide, 734 00:43:09,574 --> 00:43:11,314 but if they would love to, 735 00:43:12,274 --> 00:43:13,034 if they would like us 736 00:43:13,034 --> 00:43:13,734 to say their name, 737 00:43:13,834 --> 00:43:14,434 feel free. 738 00:43:14,634 --> 00:43:16,234 There's a space here for you. 739 00:43:16,474 --> 00:43:17,394 You're the double dubs 740 00:43:17,394 --> 00:43:18,014 for right now. 741 00:43:18,174 --> 00:43:19,414 You could have your name 742 00:43:19,414 --> 00:43:19,974 on the show. 743 00:43:20,494 --> 00:43:21,434 We also do, 744 00:43:21,494 --> 00:43:22,514 we can name this right here. 745 00:43:22,574 --> 00:43:22,794 This is, 746 00:43:22,854 --> 00:43:23,914 this is an, 747 00:43:24,914 --> 00:43:26,054 this is the Genesis pack 748 00:43:26,054 --> 00:43:28,494 from based trading cards. 749 00:43:28,634 --> 00:43:29,414 Oh, heck yeah. 750 00:43:29,534 --> 00:43:30,394 Number 83. 751 00:43:30,634 --> 00:43:31,414 What is this? 752 00:43:31,534 --> 00:43:31,754 Okay. 753 00:43:31,834 --> 00:43:32,874 He put together 754 00:43:33,034 --> 00:43:35,974 collectible trading cards that teach you about Bitcoin. 755 00:43:36,134 --> 00:43:36,914 Oh, that's bad. 756 00:43:37,014 --> 00:43:40,274 Now, this is from his unlimited educational edition. 757 00:43:40,774 --> 00:43:40,874 Okay? 758 00:43:41,094 --> 00:43:41,334 Yeah. 759 00:43:41,494 --> 00:43:41,774 Right? 760 00:43:42,014 --> 00:43:45,394 So there's an unlimited number of these cards. 761 00:43:45,394 --> 00:43:52,114 But once a year, he puts a set out that is all done up, collectible artwork. 762 00:43:52,574 --> 00:43:56,254 There's 21,000 packs total or 21,000 boxes. 763 00:43:56,914 --> 00:43:57,254 Something. 764 00:43:57,694 --> 00:43:58,374 It's limited. 765 00:43:58,594 --> 00:43:59,134 21 something. 766 00:43:59,434 --> 00:44:01,194 He doesn't reprint it ever. 767 00:44:01,774 --> 00:44:03,374 I'm talking about he just released it, 768 00:44:03,374 --> 00:44:06,734 and the whale bundle that had however many boxes in it 769 00:44:06,734 --> 00:44:08,174 was like over $20,000. 770 00:44:08,714 --> 00:44:08,954 Holy cow. 771 00:44:09,174 --> 00:44:13,234 And the people in his Telegram community bought all of it. 772 00:44:13,234 --> 00:44:13,674 Yeah. 773 00:44:13,994 --> 00:44:15,134 Oh, that's awesome. 774 00:44:15,334 --> 00:44:16,034 Anyways, all right, Abe. 775 00:44:16,054 --> 00:44:19,614 Well, now we are at the Cash vs. Sats decision. 776 00:44:20,034 --> 00:44:20,754 Oh, amazing. 777 00:44:21,094 --> 00:44:22,794 Powered by salt. 778 00:44:23,154 --> 00:44:28,554 And our very own 123 shot. 779 00:44:29,134 --> 00:44:30,114 That was really well done. 780 00:44:30,114 --> 00:44:31,814 I think we nailed it. 781 00:44:32,254 --> 00:44:32,514 Okay. 782 00:44:33,034 --> 00:44:35,874 So, as Hatch Hats, we believe in value for value. 783 00:44:36,014 --> 00:44:38,274 In exchange for your time and coming on our show, 784 00:44:38,374 --> 00:44:43,354 we would like to give you your choice between $50 in fiat or $50 in Bitcoin. 785 00:44:43,614 --> 00:44:46,314 Which at today's exchange rate is real nice. 786 00:44:46,334 --> 00:44:47,174 Oh, my gosh. 787 00:44:47,194 --> 00:44:49,154 $77,688. 788 00:44:50,094 --> 00:44:50,574 Amazing. 789 00:44:50,854 --> 00:44:51,334 Amazing. 790 00:44:51,754 --> 00:44:53,314 That's a tough decision. 791 00:44:53,594 --> 00:44:53,754 Not. 792 00:44:54,414 --> 00:44:54,974 Not. 793 00:44:55,174 --> 00:44:55,514 Not. 794 00:44:55,514 --> 00:44:55,594 Not. 795 00:44:55,914 --> 00:44:59,154 Of course, we go with the $77,688. 796 00:44:59,154 --> 00:45:00,814 sets. Yes! Excellent! 797 00:45:01,614 --> 00:45:02,014 Yes! 798 00:45:03,194 --> 00:45:05,494 To a strike wallet. 799 00:45:05,634 --> 00:45:07,394 There you go. Going to the strike wallet. 800 00:45:07,534 --> 00:45:09,474 Yeah, yeah. I got my 801 00:45:09,474 --> 00:45:11,334 there you go. Since we've been on 802 00:45:11,334 --> 00:45:13,694 I have DCA'd 803 00:45:13,694 --> 00:45:15,574 twice. So there we go. 804 00:45:15,794 --> 00:45:17,454 Since the beginning of the show? 805 00:45:17,754 --> 00:45:19,414 So wait, what does 806 00:45:19,414 --> 00:45:20,654 your DCA look like? 807 00:45:20,654 --> 00:45:22,374 Do you think DCA's do you have going? 808 00:45:23,894 --> 00:45:24,774 Once an hour 809 00:45:24,774 --> 00:45:26,674 for like five bucks. Yeah, little tiny 810 00:45:26,674 --> 00:45:28,614 minutes. Once an hour you buy five dollars. 811 00:45:28,614 --> 00:45:33,474 I didn't know you could go that small and incremented. 812 00:45:33,854 --> 00:45:34,194 Oh, yeah. 813 00:45:34,354 --> 00:45:36,414 Well, that's one of the reasons why I like Strike. 814 00:45:37,054 --> 00:45:39,714 So they have so much flexibility there. 815 00:45:40,034 --> 00:45:43,194 You can also, this is like a nerd thing, last thing I'll say, 816 00:45:43,374 --> 00:45:48,434 you can export all the data of your DCA-ing 817 00:45:48,434 --> 00:45:51,854 so you can see what your average buy price was 818 00:45:51,854 --> 00:45:55,174 over different cohorts of DCA-ing and stuff like that. 819 00:45:55,514 --> 00:45:56,334 That's beautiful. 820 00:45:56,334 --> 00:45:57,794 Five bucks an hour, bro. 821 00:45:57,794 --> 00:46:00,314 I love that. 822 00:46:00,354 --> 00:46:00,654 Wow. 823 00:46:01,234 --> 00:46:03,814 And I know we don't talk about current events very much, 824 00:46:03,914 --> 00:46:05,954 but this is a great time to DCA. 825 00:46:06,634 --> 00:46:07,854 It's never a bad time to DCA. 826 00:46:07,854 --> 00:46:08,874 I mean, by the dip. 827 00:46:08,894 --> 00:46:09,854 Yeah, by the dip. 828 00:46:09,854 --> 00:46:11,634 Yeah, for sure. 829 00:46:12,054 --> 00:46:15,054 So where can our Satillionaires go to spend more time with you, Michael? 830 00:46:15,354 --> 00:46:15,574 Yeah. 831 00:46:16,774 --> 00:46:21,414 So X is probably the best place to see me more on Hinge 832 00:46:21,414 --> 00:46:23,274 because LinkedIn, you know, they don't like that. 833 00:46:23,274 --> 00:46:26,634 But I do post a bunch on both. 834 00:46:27,794 --> 00:46:32,294 On X, I'm at the real M-C-H-O-Y. 835 00:46:32,574 --> 00:46:33,874 So pronounce the real McCoy. 836 00:46:34,174 --> 00:46:34,534 I liked it. 837 00:46:34,634 --> 00:46:35,154 I thought it was whatever. 838 00:46:35,434 --> 00:46:37,434 Yeah, M-C-H-O-Y. 839 00:46:37,694 --> 00:46:41,214 And then on LinkedIn, you can just find me under Hoy, H-O-Y. 840 00:46:42,434 --> 00:46:45,174 LinkedIn for more of the Atlas AI, 841 00:46:46,094 --> 00:46:47,754 how to navigate this world of, 842 00:46:48,174 --> 00:46:50,734 how to navigate the making money in the new world. 843 00:46:50,734 --> 00:46:54,114 and then X for all the things I'm not allowed to post on. 844 00:46:54,894 --> 00:46:58,954 That's an excellent promo for both of those outlets. 845 00:46:59,674 --> 00:47:00,114 That's right. 846 00:47:00,374 --> 00:47:01,774 Thank you so much for having me. 847 00:47:02,594 --> 00:47:03,474 Truly enjoyable. 848 00:47:03,754 --> 00:47:04,134 Thank you. 849 00:47:04,514 --> 00:47:04,874 Fantastic. 850 00:47:05,454 --> 00:47:07,994 All right, Satillionaires, if you have enjoyed today's show, 851 00:47:08,094 --> 00:47:13,274 click the subscribe button at your chance to win this collectible silver coin 852 00:47:13,274 --> 00:47:14,834 from CoinLink. 853 00:47:16,694 --> 00:47:17,794 CryptoLink coins. 854 00:47:17,934 --> 00:47:18,674 I was like, that's not right. 855 00:47:19,174 --> 00:47:20,154 CryptoLink coins. 856 00:47:20,154 --> 00:47:22,514 when we get to 3,000 subscribers. 857 00:47:23,614 --> 00:47:26,694 And if you'd like to find out ways to support Sat Chats, 858 00:47:26,734 --> 00:47:28,074 you can do so in our show notes. 859 00:47:28,634 --> 00:47:31,654 I'm either grabbing your slot in the studio or sponsoring. 860 00:47:32,354 --> 00:47:34,634 And Sat Chats is for educational purposes only 861 00:47:34,634 --> 00:47:36,614 and should not be construed as financial advice. 862 00:47:36,714 --> 00:47:38,754 And our guest views are their own. 863 00:47:39,094 --> 00:47:41,594 Until next time, it's Stacking and Stats. 864 00:47:41,594 --> 00:47:44,734 Or tell your audience to do it on your phone. 865 00:47:46,434 --> 00:47:47,534 Bye-bye. 866 00:47:47,734 --> 00:47:48,034 Bye. 867 00:47:50,154 --> 00:47:50,654 you