1 00:00:00,040 --> 00:00:02,640 Speaker 1: Hello, and welcome to another episode of The Mark Mass Show. 2 00:00:02,680 --> 00:00:06,680 Speaker 1: Where we're always talking about the decentralized revolution. We talk 3 00:00:06,680 --> 00:00:09,600 Speaker 1: about the way the world is changing right before our 4 00:00:09,680 --> 00:00:12,760 Speaker 1: very eyes. We're literally living through a historical moment. I 5 00:00:12,760 --> 00:00:15,120 Speaker 1: have talked about many times how history books will be 6 00:00:15,200 --> 00:00:18,160 Speaker 1: written about this period that we're going through right now, 7 00:00:18,239 --> 00:00:21,080 Speaker 1: this transition. And of course we talk about this as 8 00:00:21,120 --> 00:00:23,159 Speaker 1: we look at this, as we try to understand this 9 00:00:23,280 --> 00:00:28,760 Speaker 1: through the lens of three different disciplines, politics, finance, and technology. 10 00:00:28,920 --> 00:00:31,160 Speaker 1: You know, as I've talked about many times, I think 11 00:00:31,200 --> 00:00:33,840 Speaker 1: a lot of people are missing the bigger picture because 12 00:00:33,840 --> 00:00:37,200 Speaker 1: they're too zoomed in and they're not understanding how all 13 00:00:37,280 --> 00:00:39,400 Speaker 1: three of these work together, and so they get an 14 00:00:39,400 --> 00:00:43,400 Speaker 1: incomplete picture. Now, we talk about politics, finance, and technology, 15 00:00:43,479 --> 00:00:45,400 Speaker 1: but we try to talk about them in relation to 16 00:00:45,479 --> 00:00:48,120 Speaker 1: each other. We don't talk about politics for politics sakes, 17 00:00:48,120 --> 00:00:51,640 Speaker 1: but where it's making rules and regulations on technology or finance, 18 00:00:51,680 --> 00:00:53,360 Speaker 1: and those are certainly areas that we want to be 19 00:00:53,360 --> 00:00:55,880 Speaker 1: paying attention to. And today we are going to be 20 00:00:55,920 --> 00:00:59,640 Speaker 1: digging into technology specifically. We'll talk about some of the 21 00:01:00,160 --> 00:01:03,080 Speaker 1: implications of how this will affect the markets. We're going 22 00:01:03,120 --> 00:01:07,520 Speaker 1: to talk about the political ramifications of this. More importantly, though, 23 00:01:07,520 --> 00:01:10,200 Speaker 1: today I want to talk about how I have been 24 00:01:10,480 --> 00:01:15,039 Speaker 1: using brand new, cutting edge technology for massive efficiency and 25 00:01:15,040 --> 00:01:17,959 Speaker 1: productivity gains in my own business, and how you could 26 00:01:17,959 --> 00:01:19,960 Speaker 1: do the exact same thing. It's a little bit different 27 00:01:19,959 --> 00:01:22,319 Speaker 1: than what we've done in the past, and the reason 28 00:01:22,360 --> 00:01:25,640 Speaker 1: why is because we're doing something completely different. If you're 29 00:01:25,680 --> 00:01:28,679 Speaker 1: listening on the radio, I appreciate you listening on the radio, 30 00:01:30,480 --> 00:01:34,600 Speaker 1: and it's with heavy hearts bittersweet announcement for you radio 31 00:01:34,720 --> 00:01:38,679 Speaker 1: listeners today that today is the last. 32 00:01:38,640 --> 00:01:40,440 Speaker 2: Day of the radio show. 33 00:01:41,319 --> 00:01:43,880 Speaker 1: So if you're listening on the radio, unfortunately you're not 34 00:01:43,920 --> 00:01:46,000 Speaker 1: going to be able to find me on the radio anymore, 35 00:01:46,120 --> 00:01:48,840 Speaker 1: but you'll continue to be able to find me on 36 00:01:48,920 --> 00:01:51,360 Speaker 1: the podcast. You can just search the Mark mass Show 37 00:01:51,520 --> 00:01:54,040 Speaker 1: on your favorite podcast player. All right, I'm still there. 38 00:01:54,280 --> 00:01:56,480 Speaker 1: I'll still be on YouTube. You can still watch me 39 00:01:56,560 --> 00:01:59,040 Speaker 1: and listen to me on YouTube, both on the Market 40 00:01:59,040 --> 00:02:02,559 Speaker 1: Disruptors YouTube channel and on my main Mark Moss YouTube channel, 41 00:02:02,560 --> 00:02:04,200 Speaker 1: so you can watch me listen to me there. You 42 00:02:04,240 --> 00:02:06,720 Speaker 1: can still listen to me over on the podcast the 43 00:02:06,760 --> 00:02:09,680 Speaker 1: Mark Moss Show, So think of it as a radio 44 00:02:09,720 --> 00:02:11,600 Speaker 1: on demand, right, You can just listen to it whenever 45 00:02:11,600 --> 00:02:14,840 Speaker 1: you want. But the radio show is dying and dead. 46 00:02:14,880 --> 00:02:17,000 Speaker 1: Well it's not dying, as a matter of fact, it's 47 00:02:17,000 --> 00:02:20,480 Speaker 1: not dying at all. It's been growing, but I'm deciding 48 00:02:20,520 --> 00:02:23,920 Speaker 1: to kill it. And the reason why, I guess partly 49 00:02:24,160 --> 00:02:27,480 Speaker 1: is technology. Right when I first got recruited by our 50 00:02:27,520 --> 00:02:30,799 Speaker 1: Heart Media to do the radio show a couple of 51 00:02:30,880 --> 00:02:33,320 Speaker 1: years ago, it was when Rush Limbaugh, who was the 52 00:02:33,480 --> 00:02:37,720 Speaker 1: kingpin of radio, still dominated the airwaves, and you know, 53 00:02:37,800 --> 00:02:40,480 Speaker 1: they said, hey, Rush Limbaugh's dead, and you know there's 54 00:02:40,520 --> 00:02:42,520 Speaker 1: this void sort of in radio and maybe you could 55 00:02:42,560 --> 00:02:45,239 Speaker 1: move into this radio spot. And I was like, people 56 00:02:45,240 --> 00:02:48,280 Speaker 1: still listen to radio, Like that's still a thing, right. 57 00:02:48,760 --> 00:02:51,800 Speaker 1: I haven't listened to radio in forever, And so you know, 58 00:02:52,400 --> 00:02:55,240 Speaker 1: part of it was like, why am I stepping into 59 00:02:55,720 --> 00:02:59,320 Speaker 1: something that's dying now? I hadn't planned to go down 60 00:02:59,320 --> 00:02:59,800 Speaker 1: to this rabbit hole. 61 00:02:59,800 --> 00:03:01,120 Speaker 2: Blee. Talk about this for a minute. 62 00:03:01,160 --> 00:03:04,079 Speaker 1: So you know, I started making YouTube videos about five 63 00:03:04,160 --> 00:03:07,720 Speaker 1: years ago, and I didn't have like a big grand 64 00:03:07,760 --> 00:03:10,160 Speaker 1: scheme or big goal of what I was doing. Creating 65 00:03:10,160 --> 00:03:14,080 Speaker 1: YouTube videos my immediate goal. Well, I talked about it. 66 00:03:14,120 --> 00:03:16,440 Speaker 1: I was actually forced into my business partner at the time, 67 00:03:16,480 --> 00:03:18,680 Speaker 1: I'd started doing YouTube videos and he forced me to 68 00:03:18,720 --> 00:03:20,760 Speaker 1: do them with him. I didn't want to, but we 69 00:03:20,800 --> 00:03:23,400 Speaker 1: had created a YouTube channel to sell our newsletter. We 70 00:03:23,400 --> 00:03:27,200 Speaker 1: were writing a cryptocurrency research newsletter. And at the end 71 00:03:27,240 --> 00:03:32,920 Speaker 1: of twenty seventeen December twenty seventeen, in the crypto cryptocurrency crackdown, 72 00:03:32,960 --> 00:03:37,360 Speaker 1: the US government crackdown, they moved on the banks and 73 00:03:37,480 --> 00:03:41,080 Speaker 1: social media. So Facebook and Google band all advertising for 74 00:03:41,120 --> 00:03:44,160 Speaker 1: anything related to cryptocurrency, and so what were we to do? 75 00:03:44,240 --> 00:03:46,920 Speaker 1: And so we created a YouTube channel just to start 76 00:03:46,920 --> 00:03:50,840 Speaker 1: talking about cryptocurrency. My partner was running that and then 77 00:03:50,840 --> 00:03:54,560 Speaker 1: he forced me to get on with him. So the 78 00:03:54,640 --> 00:03:56,720 Speaker 1: immediate goal was like, let's just make some videos talk 79 00:03:56,720 --> 00:03:59,000 Speaker 1: about our newsletter and see if people want to buy it. Which, 80 00:03:59,040 --> 00:04:01,120 Speaker 1: by the way, i'm talking about a newsletter. It's not 81 00:04:01,160 --> 00:04:03,880 Speaker 1: a cryptocurrency newsletter anymore. It's now a more broad just 82 00:04:03,960 --> 00:04:06,760 Speaker 1: general investing newsletter. Of course, we still cover bitcoin and crypto. 83 00:04:07,520 --> 00:04:12,920 Speaker 1: But that being said, I'd never intended that it would 84 00:04:12,960 --> 00:04:14,720 Speaker 1: get me to where I'm at today, where I'm speaking 85 00:04:14,720 --> 00:04:16,240 Speaker 1: on the biggest stages and you know, some of the 86 00:04:16,240 --> 00:04:19,880 Speaker 1: business finance conferences, mentors of mine for like twenty five years, 87 00:04:19,880 --> 00:04:23,400 Speaker 1: Like Robert Kiyosaki are now my good friend and iHeart 88 00:04:23,440 --> 00:04:24,360 Speaker 1: recruited me to come. 89 00:04:24,240 --> 00:04:25,080 Speaker 2: To a radio show. 90 00:04:25,360 --> 00:04:27,360 Speaker 1: But the thing that kind of got me about it 91 00:04:27,440 --> 00:04:30,159 Speaker 1: was that, you know, in the old in the old world, 92 00:04:30,440 --> 00:04:35,680 Speaker 1: in the old economy, there were gatekeepers, and so because 93 00:04:35,720 --> 00:04:41,800 Speaker 1: we didn't have technology, you needed the gatekeeper. You needed 94 00:04:42,160 --> 00:04:44,960 Speaker 1: somebody to put you on to help you out, to 95 00:04:45,000 --> 00:04:48,000 Speaker 1: build you out. So, for example, I would need a 96 00:04:48,080 --> 00:04:51,279 Speaker 1: massive amount of money to build out a factory in 97 00:04:51,400 --> 00:04:54,000 Speaker 1: order to start a business and make a product, or 98 00:04:54,040 --> 00:04:57,080 Speaker 1: I would need somebody who had a factory to bring 99 00:04:57,160 --> 00:05:00,040 Speaker 1: me onto their platform to let me build their The 100 00:05:00,040 --> 00:05:02,919 Speaker 1: same was true with media. So in the old days, 101 00:05:03,000 --> 00:05:08,000 Speaker 1: I needed ABC, CBS, CNN, Fox to give me a show. 102 00:05:08,480 --> 00:05:10,880 Speaker 1: I needed a radio station to put me on their 103 00:05:10,960 --> 00:05:14,599 Speaker 1: radio station. I needed this ESPN to put me on 104 00:05:14,720 --> 00:05:18,359 Speaker 1: as a sportscaster, right But in the new economy, we 105 00:05:18,440 --> 00:05:20,599 Speaker 1: don't need that. In the new economy, there is no 106 00:05:20,680 --> 00:05:23,920 Speaker 1: gatekeepers because technology has changed that. And so I could 107 00:05:23,960 --> 00:05:27,320 Speaker 1: literally I did literally start up a YouTube channel and 108 00:05:27,360 --> 00:05:30,839 Speaker 1: just start talking directly to my core audience, and by 109 00:05:30,839 --> 00:05:34,280 Speaker 1: bringing value directly to them, I could build up an audience. 110 00:05:34,279 --> 00:05:36,279 Speaker 1: If I made good content, people would want to watch 111 00:05:36,279 --> 00:05:37,800 Speaker 1: more of it. If I made bad content, they'd watch 112 00:05:37,839 --> 00:05:40,880 Speaker 1: less of it. And it took away the gatekeeper. And 113 00:05:40,920 --> 00:05:44,360 Speaker 1: it also changed the paradigm of how we even think 114 00:05:44,360 --> 00:05:48,160 Speaker 1: about content content creators, which content creators weren't even a 115 00:05:48,200 --> 00:05:50,440 Speaker 1: word at the time, but to think about like today, 116 00:05:50,520 --> 00:05:53,800 Speaker 1: now it's still going, but it's dying. But it just 117 00:05:53,839 --> 00:05:56,880 Speaker 1: seems weird to me today that like I would need 118 00:05:56,880 --> 00:06:00,840 Speaker 1: to tune into any network shows. Not to point anybody out, 119 00:06:00,880 --> 00:06:03,400 Speaker 1: but let's just say, like CNN or ESPN for that matter, 120 00:06:03,680 --> 00:06:06,320 Speaker 1: use ESPN Sports are a little bit more neutral. But 121 00:06:06,560 --> 00:06:10,400 Speaker 1: why would I tune into ESPN and watch their lineup 122 00:06:10,440 --> 00:06:13,080 Speaker 1: of programming where it's very linear, where it's like, well, okay, 123 00:06:13,120 --> 00:06:16,560 Speaker 1: well now we're covering pickleball and up next to tennis, 124 00:06:16,600 --> 00:06:18,359 Speaker 1: and then after that we're gonna go to baseball, and 125 00:06:18,360 --> 00:06:20,640 Speaker 1: then after baseball we're gonna go to IndyCar racing and 126 00:06:20,680 --> 00:06:23,960 Speaker 1: it's like this linear format. But like, I don't want 127 00:06:23,960 --> 00:06:25,920 Speaker 1: to watch my content like that. If I want to 128 00:06:25,960 --> 00:06:27,920 Speaker 1: watch IndyCars, I just want to watch Indy Cars. I 129 00:06:27,920 --> 00:06:29,480 Speaker 1: don't want to wait three hours for it to come 130 00:06:29,480 --> 00:06:32,160 Speaker 1: on I don't want toatch watch pickleball first, or vice versa. 131 00:06:32,160 --> 00:06:32,880 Speaker 2: If I want to watch. 132 00:06:32,720 --> 00:06:34,360 Speaker 1: Pickaball, I don't want it to go to IndyCars later. 133 00:06:34,720 --> 00:06:39,679 Speaker 1: And so the idea behind needing, the whole idea behind 134 00:06:39,720 --> 00:06:44,480 Speaker 1: the network is archaic in my opinion, of having this 135 00:06:44,640 --> 00:06:48,680 Speaker 1: pre configured lineup when today everything's on demand. And so anyway, 136 00:06:48,920 --> 00:06:52,480 Speaker 1: technology change the way we consume content broke down sort 137 00:06:52,520 --> 00:06:55,839 Speaker 1: of the gatekeeper of the network itself. And then of 138 00:06:55,839 --> 00:07:01,360 Speaker 1: course it's also evolved past radio. I put this on 139 00:07:01,360 --> 00:07:03,880 Speaker 1: my Instagram today. If you're not following money on Instagram, 140 00:07:03,960 --> 00:07:06,760 Speaker 1: check me out at Mark Moss and I put up 141 00:07:07,040 --> 00:07:08,800 Speaker 1: just a story talking about today would be my last 142 00:07:08,880 --> 00:07:11,320 Speaker 1: day recording radio. And I put the song over it 143 00:07:11,360 --> 00:07:13,840 Speaker 1: that video killed the radio star if you guys know 144 00:07:13,880 --> 00:07:16,280 Speaker 1: that song, but video killed the radio. So here, I 145 00:07:16,400 --> 00:07:20,880 Speaker 1: was recruited by a heart a network to build a show, 146 00:07:21,160 --> 00:07:24,680 Speaker 1: but I'm already generating millions of views on my own 147 00:07:24,840 --> 00:07:27,679 Speaker 1: without a network. What do I need iHeart for? But anyway, 148 00:07:28,040 --> 00:07:30,360 Speaker 1: I like to learn, I like to grow, let's do it. 149 00:07:30,400 --> 00:07:32,800 Speaker 1: I've never done radio. I know it's an old paradigm, 150 00:07:32,880 --> 00:07:34,680 Speaker 1: it's an old it's no model, but let's do it 151 00:07:34,760 --> 00:07:36,680 Speaker 1: over the course of the last couple of years. It's 152 00:07:36,720 --> 00:07:38,760 Speaker 1: done pretty well. I think we started in about twenty 153 00:07:38,800 --> 00:07:41,640 Speaker 1: five markets and it grew. I think we grew up 154 00:07:41,640 --> 00:07:44,680 Speaker 1: to about seventy five markets, which I think is pretty good. 155 00:07:44,720 --> 00:07:46,000 Speaker 1: I don't have a lot to compare that to. If 156 00:07:46,400 --> 00:07:47,800 Speaker 1: you've been in a radio a long time, maybe you'll 157 00:07:47,840 --> 00:07:49,880 Speaker 1: know a little bit better than me. But it showed 158 00:07:49,920 --> 00:07:52,520 Speaker 1: that there was demand in the market, there was some 159 00:07:52,800 --> 00:07:56,040 Speaker 1: product market fit, and it grew. Now, part of what 160 00:07:56,160 --> 00:07:57,960 Speaker 1: I think held back some of the growth, I would 161 00:07:57,960 --> 00:08:01,239 Speaker 1: say is that because I talk a lot about bitcoining, 162 00:08:01,240 --> 00:08:05,640 Speaker 1: cryptocurrencies and investing, we went through arguably one of the 163 00:08:05,760 --> 00:08:10,560 Speaker 1: deepest and longest bear markets, right down markets in bitcoin 164 00:08:10,560 --> 00:08:13,560 Speaker 1: and cryptocurrencies, and you throw in all the bad press 165 00:08:13,560 --> 00:08:17,760 Speaker 1: with FTX and sam Bankman Freed and Celsius and terror 166 00:08:17,800 --> 00:08:20,280 Speaker 1: lun and all of that. It really sort of gave 167 00:08:20,320 --> 00:08:23,640 Speaker 1: the entire industry black eye, or more importantly, sort of 168 00:08:23,640 --> 00:08:26,480 Speaker 1: sucked the energy the air out of that, and so 169 00:08:26,600 --> 00:08:28,520 Speaker 1: that probably hurt the growth a little bit. Obviously, if 170 00:08:28,560 --> 00:08:30,600 Speaker 1: I had been doing it two years of an up 171 00:08:30,720 --> 00:08:33,280 Speaker 1: trend market, it probably would have done much better. Here 172 00:08:33,320 --> 00:08:35,280 Speaker 1: we are in a downtrend market that probably affected a 173 00:08:35,280 --> 00:08:39,120 Speaker 1: little bit, but that being said, it still grew, went 174 00:08:39,160 --> 00:08:42,240 Speaker 1: from twenty five per centy five markets. But I'm just 175 00:08:42,520 --> 00:08:44,440 Speaker 1: the amount of effort and work that it is for 176 00:08:44,480 --> 00:08:47,280 Speaker 1: the radio show just to me at this point, after 177 00:08:47,280 --> 00:08:49,320 Speaker 1: a couple of years of doing it isn't worth the 178 00:08:49,400 --> 00:08:52,280 Speaker 1: effort and squeeze anymore. And so we've decided to go 179 00:08:52,280 --> 00:08:54,559 Speaker 1: ahead and just pull that back. Even though it's growing, 180 00:08:54,559 --> 00:08:56,520 Speaker 1: We're going to pull it back. And my goal is 181 00:08:56,520 --> 00:09:01,520 Speaker 1: to focus on more better content, well not more better content, 182 00:09:02,240 --> 00:09:05,360 Speaker 1: higher quality, lesser quantity. But I'm still going to be here. 183 00:09:05,360 --> 00:09:07,000 Speaker 1: I'll still be on YouTube Mark Moss, I'll still be 184 00:09:07,000 --> 00:09:09,520 Speaker 1: on YouTube Market Disruptors, and I will still be on 185 00:09:09,559 --> 00:09:12,679 Speaker 1: the podcast at the Mark Mass Show. Now I'm going 186 00:09:12,720 --> 00:09:15,319 Speaker 1: to cover more technology. We're talking about the shift in 187 00:09:15,320 --> 00:09:17,400 Speaker 1: technolog I'm going to tell you about new technology I'm 188 00:09:17,520 --> 00:09:21,360 Speaker 1: using that's exploding my productivity and how it fits into 189 00:09:21,480 --> 00:09:24,520 Speaker 1: this paradigm of this decentralized world. You don't want to 190 00:09:24,520 --> 00:09:26,880 Speaker 1: miss this. If you want to improve your productivity and 191 00:09:26,960 --> 00:09:31,360 Speaker 1: your profits, more work, more leverage, less time spent working, 192 00:09:31,400 --> 00:09:32,920 Speaker 1: then you want to hear what I have to say 193 00:09:32,920 --> 00:09:34,360 Speaker 1: I'll be back in a minut after a very short break. 194 00:09:34,440 --> 00:09:35,200 Speaker 2: Don't go away, all. 195 00:09:35,160 --> 00:09:36,600 Speaker 1: Right, Welcome back. So if you're just tuned in, you're 196 00:09:36,600 --> 00:09:39,920 Speaker 1: listening to the Mark Mass show. We're talking about They 197 00:09:40,000 --> 00:09:42,400 Speaker 1: always talk about the intersection of politics, finance, and technology. 198 00:09:42,400 --> 00:09:45,400 Speaker 1: We're sort of focusing more on technology today, and I 199 00:09:45,440 --> 00:09:48,600 Speaker 1: was talking about I am changing my technology platform from 200 00:09:48,640 --> 00:09:50,440 Speaker 1: old school radio and we're going to be going just 201 00:09:50,480 --> 00:09:53,599 Speaker 1: to podcast and YouTube so it's more interactive and I 202 00:09:53,600 --> 00:09:58,000 Speaker 1: can get directly out to you, better quality content, less 203 00:09:58,040 --> 00:09:59,319 Speaker 1: work for everybody involved. 204 00:09:59,440 --> 00:10:00,720 Speaker 2: I'm pretty side about. 205 00:10:00,559 --> 00:10:02,960 Speaker 1: This this shift. So I'll still be with you, just 206 00:10:02,960 --> 00:10:05,440 Speaker 1: not here on the radio if you're listening on the radio. 207 00:10:05,600 --> 00:10:08,280 Speaker 1: But today I want to talk about AI. I want 208 00:10:08,280 --> 00:10:11,600 Speaker 1: to talk about artificial intelligence, and I want to talk 209 00:10:11,640 --> 00:10:14,640 Speaker 1: about it from a couple different standpoints. One, obviously, it's 210 00:10:14,679 --> 00:10:17,880 Speaker 1: always technology that changes the world. I say this all 211 00:10:17,880 --> 00:10:20,320 Speaker 1: the time, because it changes the way that we work, 212 00:10:21,160 --> 00:10:24,080 Speaker 1: the way that we communicate, the way that we interact, 213 00:10:24,200 --> 00:10:26,320 Speaker 1: change the way that we organize. All right, So it's 214 00:10:26,320 --> 00:10:28,800 Speaker 1: always technology. And if we look back through thousands of 215 00:10:28,920 --> 00:10:30,640 Speaker 1: years of history, I use these examples all the time, 216 00:10:30,679 --> 00:10:32,920 Speaker 1: we can see how they're also not only do they 217 00:10:32,960 --> 00:10:35,479 Speaker 1: change the world, they change sort of in this pendulum 218 00:10:35,480 --> 00:10:40,319 Speaker 1: that swings from centralization back to decentralization. So each technology 219 00:10:40,360 --> 00:10:45,040 Speaker 1: sort of does this, and this AI technology is at 220 00:10:45,040 --> 00:10:51,200 Speaker 1: the coming out right in this decentralized pendulum pivot. So 221 00:10:51,240 --> 00:10:56,119 Speaker 1: we have decentralized technologies like Bitcoin, decentralized protocols, decentralized communication 222 00:10:56,200 --> 00:11:00,000 Speaker 1: protocols like Noster, and this is really helping the pendulums 223 00:11:00,040 --> 00:11:03,400 Speaker 1: swing back from full centralization back to decentralization. And now 224 00:11:03,440 --> 00:11:08,000 Speaker 1: we also have AI. Now AI chat GPT, Google's Gemini, 225 00:11:08,040 --> 00:11:09,520 Speaker 1: which I've been using the last couple weeks, which is 226 00:11:09,559 --> 00:11:14,439 Speaker 1: actually really good for some things. Some people might say 227 00:11:14,480 --> 00:11:18,600 Speaker 1: they're not real AI, either LMS or large language models, 228 00:11:19,200 --> 00:11:21,400 Speaker 1: something like that. Whatever you want to call it, we're 229 00:11:21,400 --> 00:11:23,960 Speaker 1: just going to call it AI for now. It has 230 00:11:24,200 --> 00:11:27,280 Speaker 1: definitely changed the world. Now is this centralizing or decentralizing. 231 00:11:27,280 --> 00:11:27,720 Speaker 2: It's both. 232 00:11:28,840 --> 00:11:32,720 Speaker 1: It's decentralizing because now as Sam Maltman, the founder of 233 00:11:32,800 --> 00:11:35,720 Speaker 1: open Ai, came out and said he believes it will 234 00:11:35,720 --> 00:11:42,320 Speaker 1: finally see the first billion dollar single person business because chat, 235 00:11:42,360 --> 00:11:45,199 Speaker 1: GPT or large Language models or Gemini, whatever you want 236 00:11:45,240 --> 00:11:48,200 Speaker 1: to say. Because AI is now able to make us 237 00:11:48,200 --> 00:11:51,480 Speaker 1: so much more productive and so much more efficient. It 238 00:11:51,520 --> 00:11:54,320 Speaker 1: will have a decentralizing force. So in order to make 239 00:11:54,360 --> 00:11:57,000 Speaker 1: a billion dollars in the old economy, you would have 240 00:11:57,000 --> 00:12:01,079 Speaker 1: had to build a giant factory. Lots of people have 241 00:12:01,240 --> 00:12:04,160 Speaker 1: mass production, right, so it's very centralized, and everybody moves 242 00:12:04,200 --> 00:12:06,840 Speaker 1: into these cities, into these factories, and you have these 243 00:12:07,040 --> 00:12:10,360 Speaker 1: large mass manufacturing plants. But today, to the point he's 244 00:12:10,400 --> 00:12:12,840 Speaker 1: making is you can have a solo priner, let's just 245 00:12:12,840 --> 00:12:15,440 Speaker 1: call it that, a single person business that could do 246 00:12:15,440 --> 00:12:18,840 Speaker 1: a billion dollars. And so instead of having one business 247 00:12:18,880 --> 00:12:21,439 Speaker 1: where you know, thousands of people work at, or tens 248 00:12:21,480 --> 00:12:24,560 Speaker 1: of thousands people work outstead of one business, now you 249 00:12:24,640 --> 00:12:30,360 Speaker 1: can have ten thousand businesses. So it's very decentralizing. Now, 250 00:12:31,520 --> 00:12:33,599 Speaker 1: that is what the power of this, But at the 251 00:12:33,640 --> 00:12:40,760 Speaker 1: same time, it's somewhat centralizing because who controls the language 252 00:12:40,800 --> 00:12:43,480 Speaker 1: model the LM. The LM, the AI has to be 253 00:12:43,559 --> 00:12:46,959 Speaker 1: trained and it has to be fed information for it 254 00:12:47,040 --> 00:12:49,840 Speaker 1: to absorb to have that information to recite back out. 255 00:12:50,080 --> 00:12:54,079 Speaker 1: And so whoever controls that AI, whoever can whoever feeds 256 00:12:54,080 --> 00:12:57,800 Speaker 1: that and controls it, then can control lots of people 257 00:12:58,480 --> 00:13:02,600 Speaker 1: because if we're all now depending on chat GBT or 258 00:13:02,640 --> 00:13:06,040 Speaker 1: Gemini or whicheveryone's happened to pop up afterwards. Then that 259 00:13:06,120 --> 00:13:08,720 Speaker 1: is a very centralizing force. So you can see that 260 00:13:09,120 --> 00:13:11,680 Speaker 1: it's a little bit of a complex issue here, But 261 00:13:11,880 --> 00:13:13,960 Speaker 1: I want to dig into a little bit more specifically 262 00:13:13,960 --> 00:13:17,080 Speaker 1: today some of the ways. Let's see, we're going to 263 00:13:17,080 --> 00:13:20,120 Speaker 1: talk about some of the fallacies that I think a 264 00:13:20,120 --> 00:13:23,520 Speaker 1: lot of people are understanding this all wrong, and part 265 00:13:23,559 --> 00:13:26,800 Speaker 1: of the fallacies are keeping them from really taking advantage 266 00:13:26,840 --> 00:13:28,679 Speaker 1: of what's happening here. I want to talk about some 267 00:13:28,760 --> 00:13:31,920 Speaker 1: of the risks and fears that I think are misplaced, 268 00:13:32,520 --> 00:13:34,400 Speaker 1: and I think we need to understand them better. And 269 00:13:34,440 --> 00:13:37,280 Speaker 1: it's one of those things where you either jump on 270 00:13:37,360 --> 00:13:39,120 Speaker 1: it and get ahead or you fall behind. 271 00:13:39,360 --> 00:13:40,120 Speaker 2: I want to talk. 272 00:13:40,000 --> 00:13:45,040 Speaker 1: About ways specifically that you can use it. I want 273 00:13:45,040 --> 00:13:48,080 Speaker 1: to talk about way specifically that I'm using it right, 274 00:13:48,600 --> 00:13:51,199 Speaker 1: and then we'll talk about understanding some of the limits 275 00:13:51,240 --> 00:13:53,120 Speaker 1: that it has and how to navigate some. 276 00:13:53,080 --> 00:13:54,360 Speaker 2: Of the challenges and things like that. 277 00:13:54,400 --> 00:13:58,320 Speaker 1: All right, So that's kind of the outline of what 278 00:13:58,320 --> 00:14:00,520 Speaker 1: we're going to talk about. If you will hear for 279 00:14:00,600 --> 00:14:02,079 Speaker 1: a moment, and part of this, like I said, it 280 00:14:02,080 --> 00:14:03,560 Speaker 1: is a little bit different than what I normally do, 281 00:14:04,120 --> 00:14:06,440 Speaker 1: but I've just been using it so much more lately 282 00:14:07,600 --> 00:14:09,880 Speaker 1: nowhere and near an expert nowhere inro an expert. But 283 00:14:10,200 --> 00:14:11,600 Speaker 1: maybe I'm a couple steps ahead of you. And so 284 00:14:11,679 --> 00:14:13,240 Speaker 1: let me give you some ideas. Now, First of all, 285 00:14:13,679 --> 00:14:18,520 Speaker 1: it's only been fourteen months. It's only been fourteen months 286 00:14:18,600 --> 00:14:22,880 Speaker 1: since Chat, since Chat GPT was released into the world. 287 00:14:23,320 --> 00:14:26,240 Speaker 1: It's crazy how fast time flies, and it's amazing how 288 00:14:26,320 --> 00:14:30,560 Speaker 1: big of an impact it's already made. But there was 289 00:14:30,640 --> 00:14:33,720 Speaker 1: all types of fallacies, false beliefs that came out as 290 00:14:33,720 --> 00:14:36,040 Speaker 1: soon as it came out. And I want to break 291 00:14:36,040 --> 00:14:37,640 Speaker 1: a couple of these down before we dive in here 292 00:14:37,680 --> 00:14:40,360 Speaker 1: so you can understand this. Some of the fallacies that 293 00:14:40,400 --> 00:14:45,040 Speaker 1: we have is that AI, Chat GPT, Jimini whatever, AI 294 00:14:45,800 --> 00:14:49,760 Speaker 1: is not going to make everybody smarter. As a matter 295 00:14:49,760 --> 00:14:53,120 Speaker 1: of fact, it's going to do the opposite. You hear 296 00:14:53,160 --> 00:14:56,240 Speaker 1: a lot about the middle class. We used to have 297 00:14:56,280 --> 00:14:58,600 Speaker 1: this strong middle class in the United States and it 298 00:14:58,640 --> 00:14:59,640 Speaker 1: all got hollowed out. 299 00:15:00,000 --> 00:15:01,200 Speaker 2: And why did it get hauled out? 300 00:15:01,240 --> 00:15:03,640 Speaker 1: Well, the narrative is that all those jobs got sent 301 00:15:03,680 --> 00:15:07,200 Speaker 1: over to China, which is partly true. A lot of 302 00:15:07,240 --> 00:15:09,000 Speaker 1: those manufacturing jobs did get outsourced. 303 00:15:09,000 --> 00:15:10,720 Speaker 2: So that's a big piece of it. 304 00:15:11,880 --> 00:15:14,520 Speaker 1: A bigger piece of it is because of the technology. 305 00:15:15,080 --> 00:15:18,720 Speaker 1: You see, I talked about just earlier how the previous 306 00:15:18,720 --> 00:15:21,720 Speaker 1: technology revolution that we had, which was the industrial revolution, 307 00:15:22,280 --> 00:15:26,520 Speaker 1: moved everybody into cities and factories onto assembly lines. And 308 00:15:26,560 --> 00:15:30,600 Speaker 1: the assembly lines made everybody work about the same. So 309 00:15:30,720 --> 00:15:34,440 Speaker 1: whether you were way smarter or way dumber, we were 310 00:15:34,480 --> 00:15:36,760 Speaker 1: all in the assembly line doing the same thing. 311 00:15:37,560 --> 00:15:38,800 Speaker 2: And so instead of. 312 00:15:38,760 --> 00:15:41,600 Speaker 1: Having this the smart people over here and the dumb 313 00:15:41,600 --> 00:15:45,360 Speaker 1: people over here, the motivated, hard working people here, the 314 00:15:45,480 --> 00:15:47,560 Speaker 1: lazy people over here, whatever you want to however you 315 00:15:47,600 --> 00:15:51,680 Speaker 1: want to divide that, maybe dumb is unmotivated. But rather 316 00:15:51,720 --> 00:15:54,200 Speaker 1: than split them up on the assembly line, it allowed 317 00:15:54,200 --> 00:15:56,400 Speaker 1: them all to do the same thing. Let's just put 318 00:15:56,400 --> 00:15:59,160 Speaker 1: them all together and make them equal equality. It's great, right, 319 00:15:59,280 --> 00:16:02,360 Speaker 1: and so that this giant middle class. The problem is 320 00:16:02,400 --> 00:16:05,520 Speaker 1: that we're no longer in the We're no longer in 321 00:16:05,560 --> 00:16:08,520 Speaker 1: the industrial age. Again, technology is what changes things. We're 322 00:16:08,560 --> 00:16:10,440 Speaker 1: no longer in the industrial age today, we're in the 323 00:16:10,480 --> 00:16:13,840 Speaker 1: information age. And so instead of us you and I 324 00:16:13,960 --> 00:16:18,640 Speaker 1: working on the assembly line together, now we're working independently. 325 00:16:18,960 --> 00:16:22,160 Speaker 1: Back to Sam Altman's talk quote about Open Eye. He 326 00:16:22,200 --> 00:16:26,040 Speaker 1: thinks will have the first billion dollar single person company. 327 00:16:26,280 --> 00:16:30,280 Speaker 1: So if one person is very smart and very motivated, 328 00:16:30,640 --> 00:16:33,080 Speaker 1: they could create a billion dollars worth of value and 329 00:16:33,120 --> 00:16:37,240 Speaker 1: they don't need all those other people. And that is 330 00:16:37,240 --> 00:16:40,800 Speaker 1: what continues to create this gap, this wealth gap, where 331 00:16:40,840 --> 00:16:45,280 Speaker 1: smarter people that leverage technologies and work harder, work more 332 00:16:45,280 --> 00:16:48,040 Speaker 1: focused start to pull ahead in the information aigen it's 333 00:16:48,040 --> 00:16:51,240 Speaker 1: the true meritocracy. They start to pull ahead from the 334 00:16:51,240 --> 00:16:54,280 Speaker 1: people who are less motivated, less hard working, and less educated. 335 00:16:55,280 --> 00:16:58,880 Speaker 1: So no, AI is not going to make everybody smarter. 336 00:16:59,240 --> 00:17:02,400 Speaker 1: It's going to make smart people smarter, and it's going 337 00:17:02,440 --> 00:17:07,280 Speaker 1: to make mediocre and dumb people dumber. They're going to 338 00:17:07,320 --> 00:17:09,639 Speaker 1: continue to fall further behind. So this is going to 339 00:17:09,760 --> 00:17:14,480 Speaker 1: continue to widen the gap, the income inequality gap, which 340 00:17:16,119 --> 00:17:18,520 Speaker 1: I think is okay. I think everybody's looking at the 341 00:17:18,560 --> 00:17:21,320 Speaker 1: wrong thing. So rather than be mad about it, we're 342 00:17:21,320 --> 00:17:22,879 Speaker 1: going to talk about how you can use this, you 343 00:17:22,920 --> 00:17:26,040 Speaker 1: can be part of that revolution. The other reason why 344 00:17:26,119 --> 00:17:28,480 Speaker 1: it's the other fallacy, and part of the reason why 345 00:17:28,520 --> 00:17:31,840 Speaker 1: it's not going to make everybody smarter, is because everybody 346 00:17:32,440 --> 00:17:36,159 Speaker 1: doesn't have good questions to ask. You see, all the 347 00:17:36,480 --> 00:17:39,240 Speaker 1: LLM can do that AI can do is respond back 348 00:17:39,280 --> 00:17:41,760 Speaker 1: to you. I like to say very often you've probably 349 00:17:41,760 --> 00:17:44,239 Speaker 1: heard me that the quality of your life comes down 350 00:17:44,320 --> 00:17:47,600 Speaker 1: to the questions that you ask. But most people ask 351 00:17:48,040 --> 00:17:52,040 Speaker 1: very bad questions. I get thousands of questions every single 352 00:17:52,040 --> 00:17:53,800 Speaker 1: week across my social media platforms. 353 00:17:53,840 --> 00:17:54,960 Speaker 2: I know I see them. 354 00:17:55,280 --> 00:18:00,199 Speaker 1: The questions are so broad and lacking any type of 355 00:18:00,200 --> 00:18:02,560 Speaker 1: intentionality that there's no way somebody can get back. 356 00:18:02,359 --> 00:18:03,199 Speaker 2: A good answer. 357 00:18:03,520 --> 00:18:05,160 Speaker 1: If you're just tune in, you're listening to the Mark 358 00:18:05,200 --> 00:18:08,480 Speaker 1: Moss Show. We're talking about how technology changes the world 359 00:18:08,480 --> 00:18:11,000 Speaker 1: and the technologies change the world. We talk about bitcoin 360 00:18:11,040 --> 00:18:13,520 Speaker 1: typically we're talking about AI, and we're gonna talk about 361 00:18:13,520 --> 00:18:15,439 Speaker 1: how it's changed in the world and how you can. 362 00:18:15,320 --> 00:18:16,680 Speaker 2: Take advantage of it. You don't want to miss this, 363 00:18:16,960 --> 00:18:19,760 Speaker 2: don't go away. I'll be right back. All right, welcome back. 364 00:18:19,800 --> 00:18:21,400 Speaker 1: If you just tune in, you're listening to the Mark 365 00:18:21,440 --> 00:18:24,400 Speaker 1: mass Show. We're talking about how technology changes the world, 366 00:18:24,480 --> 00:18:28,639 Speaker 1: and right now we're talking about AI. You know, llm's 367 00:18:28,720 --> 00:18:31,680 Speaker 1: large language models, chat GYBT, Jimini, et cetera. And I 368 00:18:31,760 --> 00:18:33,280 Speaker 1: was running through some of the fallacies. So first of all, 369 00:18:33,280 --> 00:18:35,120 Speaker 1: it's not gonna make everyone smarter. Part of the reason 370 00:18:35,160 --> 00:18:37,680 Speaker 1: why is because most people don't have good questions. Like 371 00:18:37,720 --> 00:18:40,400 Speaker 1: I said, I see thousands of comments every single week 372 00:18:40,440 --> 00:18:42,960 Speaker 1: across my platforms. It's kind of like my finger on 373 00:18:43,000 --> 00:18:45,080 Speaker 1: the pulse. Well maybe it's the finger of the pulse 374 00:18:45,119 --> 00:18:47,720 Speaker 1: on my audience. But I see so many bad questions. 375 00:18:48,000 --> 00:18:51,200 Speaker 1: And what are bad questions? Questions are very broad right, 376 00:18:51,320 --> 00:18:54,640 Speaker 1: non specific. So for example, mark what books should I read? 377 00:18:55,359 --> 00:18:56,240 Speaker 1: What books should you read? 378 00:18:56,280 --> 00:18:56,600 Speaker 2: For what? 379 00:18:57,359 --> 00:19:00,959 Speaker 1: Right? Like, think about how in precise that question is. 380 00:19:02,160 --> 00:19:04,240 Speaker 1: I read all kinds of books, but it depends on 381 00:19:04,280 --> 00:19:06,560 Speaker 1: what I want to learn. So when I'm hiring people, 382 00:19:06,720 --> 00:19:09,720 Speaker 1: I'm reading books on human resources, I'm reading books on recruitment. 383 00:19:09,960 --> 00:19:10,120 Speaker 2: Right. 384 00:19:10,400 --> 00:19:14,240 Speaker 1: If I'm trying to scale my marketing, I'm reading books 385 00:19:14,240 --> 00:19:17,960 Speaker 1: on marketing. If I'm trying to buy a new piece 386 00:19:17,960 --> 00:19:19,800 Speaker 1: of real estate, I might be reading real estate books. 387 00:19:19,800 --> 00:19:22,760 Speaker 1: So it's if you ask me something more specific, if 388 00:19:22,760 --> 00:19:25,199 Speaker 1: you had something more specific in your head, then you 389 00:19:25,200 --> 00:19:27,480 Speaker 1: can ask a more specific questions you get a backup 390 00:19:27,600 --> 00:19:30,320 Speaker 1: better answer. So let me give you an example of this. 391 00:19:31,600 --> 00:19:34,159 Speaker 1: Chechipt is so broad you can do like almost anything. 392 00:19:34,640 --> 00:19:38,240 Speaker 1: The problem is when you're given almost every option, you 393 00:19:38,240 --> 00:19:40,960 Speaker 1: don't know what to do. Analysis prolysis sets in. So 394 00:19:41,200 --> 00:19:44,400 Speaker 1: when chechipt first launch or open ai first launch, there 395 00:19:44,480 --> 00:19:47,160 Speaker 1: was a app that was created called Lensa. This Lensa 396 00:19:47,200 --> 00:19:49,520 Speaker 1: app would be would allow you to take a picture 397 00:19:49,520 --> 00:19:51,840 Speaker 1: of yourself and then it would return to you like 398 00:19:52,080 --> 00:19:56,960 Speaker 1: ten Ai, generated images of yourself, setting like different different themes, 399 00:19:57,000 --> 00:20:00,159 Speaker 1: and it was like ten bucks and it blew you 400 00:20:00,400 --> 00:20:03,359 Speaker 1: up within like days. It was generating millions of dollars. 401 00:20:03,359 --> 00:20:06,360 Speaker 1: It got a billion dollar valuation, I believe, like instantly. 402 00:20:06,840 --> 00:20:10,560 Speaker 1: But here's the thing. All it was doing was using 403 00:20:11,119 --> 00:20:14,679 Speaker 1: open Ai or it was using a different image generation one, 404 00:20:14,720 --> 00:20:18,280 Speaker 1: but it was using an open source image generation model, 405 00:20:18,680 --> 00:20:22,679 Speaker 1: and it was using an API. So they were only 406 00:20:22,800 --> 00:20:25,160 Speaker 1: selling you what you could have already done. 407 00:20:25,080 --> 00:20:26,200 Speaker 2: For free on your own. 408 00:20:26,800 --> 00:20:29,720 Speaker 1: So why would somebody pay them when they could just 409 00:20:29,760 --> 00:20:31,160 Speaker 1: go do it for free on their own. The reason 410 00:20:31,160 --> 00:20:34,359 Speaker 1: why is because people, when given unlimited options, don't know 411 00:20:34,400 --> 00:20:36,840 Speaker 1: what to do. So what lens that did is created 412 00:20:36,840 --> 00:20:39,480 Speaker 1: a very narrow use case where you can do one thing, 413 00:20:39,560 --> 00:20:41,879 Speaker 1: upload a picture, get TENBAC. The other thing is that 414 00:20:41,920 --> 00:20:44,159 Speaker 1: you have to be creative, you see, in order to 415 00:20:44,200 --> 00:20:47,960 Speaker 1: ask good questions. You have to have some base knowledge 416 00:20:48,000 --> 00:20:49,440 Speaker 1: will come back to that, but you also have to 417 00:20:49,480 --> 00:20:53,200 Speaker 1: have some create creativity. If you're saying everyone thinks they're 418 00:20:53,200 --> 00:20:55,159 Speaker 1: gonna be so smart with chat Gibt, like, write me 419 00:20:55,200 --> 00:20:59,960 Speaker 1: a book, Write you a book about what? What subject 420 00:21:00,160 --> 00:21:02,679 Speaker 1: is the book about? Who is it meant to be 421 00:21:02,840 --> 00:21:06,479 Speaker 1: aimed towards? Who's the reader? What is the goal for 422 00:21:06,520 --> 00:21:09,760 Speaker 1: you to get, you know, to move that reader through 423 00:21:09,760 --> 00:21:12,919 Speaker 1: the process. What type of tone should I write to 424 00:21:13,040 --> 00:21:16,359 Speaker 1: that reader in? I mean, there's so many more questions, 425 00:21:16,480 --> 00:21:18,920 Speaker 1: but most people have never thought through this. And then, 426 00:21:18,920 --> 00:21:20,760 Speaker 1: as I said, you have to have some domain expertise. 427 00:21:20,960 --> 00:21:23,800 Speaker 1: So for example, I talk mostly about you know, finance 428 00:21:23,840 --> 00:21:26,160 Speaker 1: and investing. And if I said, hey, Chutch, you PT 429 00:21:26,320 --> 00:21:31,240 Speaker 1: build me the best portfolio like and what is even best? 430 00:21:31,280 --> 00:21:34,560 Speaker 1: It doesn't even know that best for who, best for when? 431 00:21:34,680 --> 00:21:35,199 Speaker 2: Best for what? 432 00:21:35,320 --> 00:21:35,399 Speaker 1: Like? 433 00:21:35,440 --> 00:21:35,959 Speaker 2: It doesn't know. 434 00:21:36,200 --> 00:21:38,880 Speaker 1: But if I were to say, hey, Chutch, you pt 435 00:21:39,880 --> 00:21:45,280 Speaker 1: during times of high inflation and low economic growth and 436 00:21:45,880 --> 00:21:54,400 Speaker 1: government debt exceeding one debt to GDP, what assets work 437 00:21:54,560 --> 00:21:57,480 Speaker 1: best in that environment? Well, see, now I can that's 438 00:21:57,480 --> 00:21:59,080 Speaker 1: a much more precise question. It give me a much 439 00:21:59,119 --> 00:22:01,840 Speaker 1: more precise answer back, but I would have to have 440 00:22:01,960 --> 00:22:05,520 Speaker 1: domain expertise to even know to prompt it that way. 441 00:22:06,040 --> 00:22:08,639 Speaker 1: So you think of chat GBT as more of like 442 00:22:08,680 --> 00:22:11,200 Speaker 1: a compliment to yourself, which is why I said it's 443 00:22:11,200 --> 00:22:13,840 Speaker 1: going to make smart people smarter. It's not going to 444 00:22:13,880 --> 00:22:15,919 Speaker 1: make dumb people smarter. Now it can, and I'm going 445 00:22:15,960 --> 00:22:17,680 Speaker 1: to tell you how to do this, all right, it can, 446 00:22:18,320 --> 00:22:21,400 Speaker 1: but it's just going to take a longer, a longer path. 447 00:22:21,440 --> 00:22:22,760 Speaker 1: But I'm gonna tell you how to do that. But 448 00:22:22,960 --> 00:22:24,520 Speaker 1: a couple things I just want to talk about real 449 00:22:24,600 --> 00:22:26,600 Speaker 1: quick before we dive into how I'm using it, how 450 00:22:26,640 --> 00:22:28,520 Speaker 1: you can use it, how you can actually use to 451 00:22:28,520 --> 00:22:31,239 Speaker 1: make you smarter, and if you're already smart, you can 452 00:22:31,320 --> 00:22:33,760 Speaker 1: use to make you like superhuman smart. First of all, 453 00:22:33,800 --> 00:22:36,280 Speaker 1: let's just talk about some of the risk and fears here, right, So, Like, 454 00:22:37,200 --> 00:22:39,000 Speaker 1: because I talk about technology and I talk about three 455 00:22:39,000 --> 00:22:41,240 Speaker 1: thousands of years of history, it's always technology that changes 456 00:22:41,320 --> 00:22:44,280 Speaker 1: the world. I can tell you that every time there's 457 00:22:44,280 --> 00:22:47,480 Speaker 1: a new technology, people are scared of it. Every single time. 458 00:22:48,200 --> 00:22:51,399 Speaker 1: In my book The Uncommunist Manifesto, my co author and I, 459 00:22:51,560 --> 00:22:54,720 Speaker 1: Alex Fetzky, we wrote and we talked about Karl Marx, 460 00:22:54,760 --> 00:22:58,320 Speaker 1: which wrote the Communist Manifesto, and that was set back 461 00:22:58,320 --> 00:23:00,960 Speaker 1: in the eighteen hundred, sort of right right around this 462 00:23:01,200 --> 00:23:03,280 Speaker 1: turning of the Industrial Revolution. 463 00:23:03,400 --> 00:23:06,240 Speaker 2: And he wrote something. He wrote a couple chapters. 464 00:23:06,240 --> 00:23:08,800 Speaker 1: I wrote a couple chapters, and then we rewrote each other, 465 00:23:08,880 --> 00:23:11,360 Speaker 1: so we sounded like both of us. And in one 466 00:23:11,359 --> 00:23:13,520 Speaker 1: of his chapters he used he talked about the Luddites, 467 00:23:13,680 --> 00:23:15,800 Speaker 1: and I thought the Luddites was like a derogatory term 468 00:23:15,840 --> 00:23:17,840 Speaker 1: that we just like made up, and I kind of 469 00:23:17,880 --> 00:23:20,679 Speaker 1: called it on and I didn't know bad on me. 470 00:23:20,920 --> 00:23:22,480 Speaker 1: But the luted Heights were actually a group of people, 471 00:23:22,720 --> 00:23:24,360 Speaker 1: and the lud Heightes were a group of people that 472 00:23:25,160 --> 00:23:27,720 Speaker 1: destroyed technology. They were afraid of technology, they destroyed it. 473 00:23:27,720 --> 00:23:31,399 Speaker 1: So what happened is, back before we had machines, we 474 00:23:31,520 --> 00:23:35,119 Speaker 1: basically just worked in the farming agriculture industry and we 475 00:23:35,160 --> 00:23:38,320 Speaker 1: worked in like the cottage industry, textiles things like that, 476 00:23:38,800 --> 00:23:42,840 Speaker 1: and they would make tapestries and fabrics, and there was 477 00:23:42,840 --> 00:23:45,840 Speaker 1: a new invention called the power loom, and the power 478 00:23:45,920 --> 00:23:47,800 Speaker 1: loom would allow them this is not a machine, but 479 00:23:47,840 --> 00:23:50,040 Speaker 1: it was just like a tool that they could make 480 00:23:51,200 --> 00:23:53,520 Speaker 1: a loom tool, so they could do their tapestries faster, 481 00:23:54,119 --> 00:23:56,600 Speaker 1: and the lud Heights saw that and they were afraid 482 00:23:56,640 --> 00:23:59,119 Speaker 1: of it because it was gonna it was going to 483 00:23:59,160 --> 00:24:01,720 Speaker 1: be able to do the work of like dozens of people. 484 00:24:02,320 --> 00:24:03,959 Speaker 1: And they said, we can't have this. What are all 485 00:24:04,000 --> 00:24:05,960 Speaker 1: these dozens of people going to do if we replace 486 00:24:05,960 --> 00:24:07,800 Speaker 1: it with the loom? So the Ludites went and like 487 00:24:07,880 --> 00:24:08,520 Speaker 1: burned them down. 488 00:24:08,520 --> 00:24:10,520 Speaker 2: They destroyed the looms, right. 489 00:24:10,600 --> 00:24:14,679 Speaker 1: But that's his example of every time there's a new technology, 490 00:24:14,720 --> 00:24:18,040 Speaker 1: people are afraid of it. I've been down to Central 491 00:24:18,080 --> 00:24:20,280 Speaker 1: America many times. I go down there surfing quite regularly. 492 00:24:20,920 --> 00:24:23,600 Speaker 1: I'm going down to Nicaragua, and a couple of times 493 00:24:23,600 --> 00:24:25,760 Speaker 1: I went down to nicker Rogua. Every time I went down, 494 00:24:25,800 --> 00:24:27,920 Speaker 1: they're still working on the same road and they're like 495 00:24:27,920 --> 00:24:30,520 Speaker 1: they're literally like putting like brick by brick by brick 496 00:24:30,560 --> 00:24:33,560 Speaker 1: in under this road. And I asked the guy after 497 00:24:33,600 --> 00:24:35,680 Speaker 1: going back and they're still working on the road, I'm. 498 00:24:35,640 --> 00:24:36,919 Speaker 2: Like, what are they doing? 499 00:24:37,040 --> 00:24:39,120 Speaker 1: Like can't they just get like a tractor down here 500 00:24:39,160 --> 00:24:41,200 Speaker 1: and just like get this done next and the next week? 501 00:24:42,000 --> 00:24:43,720 Speaker 1: And he said, yeah, but what are all the people 502 00:24:43,760 --> 00:24:47,639 Speaker 1: going to do for work? The candle makers were afraid 503 00:24:47,640 --> 00:24:51,199 Speaker 1: that electricity was gonna take away their ability to make candles. 504 00:24:51,240 --> 00:24:53,480 Speaker 1: The buggy makers were afraid of the automobile that it 505 00:24:53,480 --> 00:24:55,600 Speaker 1: would take away the work. When the Industrial Revolution came, 506 00:24:55,600 --> 00:24:57,760 Speaker 1: a machine could do the work of five thousand men, 507 00:24:58,119 --> 00:24:59,879 Speaker 1: What are those five thousand men going to do? 508 00:25:00,359 --> 00:25:00,560 Speaker 2: Well? 509 00:25:00,600 --> 00:25:03,720 Speaker 1: It turns out they'll do higher value tasks like science 510 00:25:03,720 --> 00:25:06,200 Speaker 1: and medicine, things like that. So it's always been that way. 511 00:25:06,440 --> 00:25:10,520 Speaker 1: Calculators were first introduced, and people were afraid that it 512 00:25:10,600 --> 00:25:13,760 Speaker 1: was going to mess up people's ability to do calculations 513 00:25:13,760 --> 00:25:17,560 Speaker 1: in their head. And just like calculators, chech gbts is 514 00:25:17,600 --> 00:25:21,080 Speaker 1: designed to be a tool that augments human capabilities, it 515 00:25:21,119 --> 00:25:23,800 Speaker 1: doesn't replace them, So think of it as enhancing your 516 00:25:23,880 --> 00:25:26,159 Speaker 1: human potential and not replacing. Now, I'm not talking about 517 00:25:26,960 --> 00:25:28,639 Speaker 1: Elon Musk putting chips. 518 00:25:28,400 --> 00:25:28,800 Speaker 2: In your brain. 519 00:25:28,920 --> 00:25:31,000 Speaker 1: That's like a whole other conversation, the one that I'm 520 00:25:31,000 --> 00:25:33,760 Speaker 1: not excited about. Let's just say that I don't like 521 00:25:35,040 --> 00:25:38,359 Speaker 1: I'm not really liking the man in machine transhumanism type stuff. 522 00:25:38,400 --> 00:25:39,840 Speaker 2: But I'm not talking about that right now. 523 00:25:39,960 --> 00:25:42,399 Speaker 1: I'm talking about tools that I can use to enhance 524 00:25:42,440 --> 00:25:46,080 Speaker 1: my human potential. For example, on my phone, I use 525 00:25:46,200 --> 00:25:47,400 Speaker 1: the app. 526 00:25:47,160 --> 00:25:48,840 Speaker 2: Ways all the time. I don't know if you guys know 527 00:25:48,840 --> 00:25:50,000 Speaker 2: that Waze. 528 00:25:50,080 --> 00:25:53,520 Speaker 1: And I use it all the time because using technology 529 00:25:53,600 --> 00:25:55,200 Speaker 1: like social media and things like that, it can tell 530 00:25:55,240 --> 00:25:58,399 Speaker 1: me where traffic accidents are, where traffic congestion is, and 531 00:25:58,440 --> 00:26:01,160 Speaker 1: so if I'm driving somewhere, it can say, hey, Mark, 532 00:26:01,760 --> 00:26:04,240 Speaker 1: there's an accident here, traffic congestion here, Take this other 533 00:26:04,359 --> 00:26:08,760 Speaker 1: road instead, And so that piece of technology has enhanced. 534 00:26:08,600 --> 00:26:09,520 Speaker 2: My human potential. 535 00:26:10,280 --> 00:26:14,320 Speaker 1: That makes sense, So think about it like that. All right, Now, 536 00:26:14,960 --> 00:26:18,200 Speaker 1: let's talk about what if you're not that smart, what 537 00:26:18,200 --> 00:26:19,040 Speaker 1: can you do with it? 538 00:26:19,320 --> 00:26:20,200 Speaker 2: Well, you can use it to. 539 00:26:20,119 --> 00:26:21,840 Speaker 1: Get smarter, So let's talk about that first, and I'll 540 00:26:21,840 --> 00:26:24,720 Speaker 1: talk about how I'm using it. So, for example, if 541 00:26:24,760 --> 00:26:27,479 Speaker 1: you think about it as maximizing your efficiency to achieve 542 00:26:27,520 --> 00:26:30,399 Speaker 1: your goals, then you can use it like that. So 543 00:26:30,480 --> 00:26:35,280 Speaker 1: for example, you could think about what do you want 544 00:26:35,320 --> 00:26:38,400 Speaker 1: to do now, or what is it that you want 545 00:26:38,440 --> 00:26:41,720 Speaker 1: to learn, or what are things that you want to 546 00:26:41,840 --> 00:26:46,119 Speaker 1: focus on, What action do you want to take, what 547 00:26:46,160 --> 00:26:49,080 Speaker 1: do you want to change? Right, So you can start 548 00:26:49,119 --> 00:26:51,080 Speaker 1: thinking about that and then you can ask it questions. 549 00:26:51,080 --> 00:26:53,840 Speaker 1: You can think of chatgybt as a or Gemini've been 550 00:26:53,880 --> 00:26:55,640 Speaker 1: using Gemini a lot more lately, and I think it's 551 00:26:55,680 --> 00:26:58,720 Speaker 1: got way better results for certain things. It can't do 552 00:26:58,800 --> 00:27:03,159 Speaker 1: things CHATGYBT can, But for example, you can talk to 553 00:27:03,200 --> 00:27:06,240 Speaker 1: it like a coach or a mentor or a guide, right, 554 00:27:06,680 --> 00:27:09,160 Speaker 1: And so you could say you could ask it questions 555 00:27:09,200 --> 00:27:11,880 Speaker 1: like you can just ask it for example, Hey, I'm 556 00:27:11,920 --> 00:27:15,080 Speaker 1: thinking about losing weight. What are the things I should 557 00:27:15,119 --> 00:27:15,639 Speaker 1: think about? 558 00:27:16,000 --> 00:27:16,160 Speaker 2: Right? 559 00:27:16,440 --> 00:27:18,960 Speaker 1: Or you can say, hey, I'm thinking about losing weight. 560 00:27:19,000 --> 00:27:21,760 Speaker 1: How can I prompt you? How can I ask you 561 00:27:22,280 --> 00:27:24,480 Speaker 1: to help me better? Like these are things that you 562 00:27:24,520 --> 00:27:27,359 Speaker 1: can do. Now, if you're tuning in, you're listening to 563 00:27:27,400 --> 00:27:28,600 Speaker 1: the Mark Ma Show, I got to take a very 564 00:27:28,680 --> 00:27:30,439 Speaker 1: quick break. I'm going to come back and I'm going 565 00:27:30,480 --> 00:27:32,080 Speaker 1: to give you some more practical tips on how you 566 00:27:32,080 --> 00:27:34,960 Speaker 1: can use this to become more superhuman. Don't go away, 567 00:27:35,200 --> 00:27:37,800 Speaker 1: bear back, all right, welcome back. If you just tune in, 568 00:27:37,800 --> 00:27:41,520 Speaker 1: you're listening to the Mark Mas Show. We're talking about technology. 569 00:27:41,760 --> 00:27:45,600 Speaker 1: We talk about technology a lot, finance, technology, politics, but 570 00:27:45,600 --> 00:27:47,560 Speaker 1: we're talking about technology and how it's changing the world. 571 00:27:47,640 --> 00:27:50,200 Speaker 1: And we're talking specifically about sort of these new ais 572 00:27:50,280 --> 00:27:53,080 Speaker 1: chat GBT, Jim and I fill in the blank. We've 573 00:27:53,080 --> 00:27:54,439 Speaker 1: gone through a lot I'm not going to recap that, 574 00:27:54,480 --> 00:27:56,760 Speaker 1: but I want to give you some practical stuff on 575 00:27:56,880 --> 00:28:00,439 Speaker 1: how I am using it right now to make myself 576 00:28:01,119 --> 00:28:03,920 Speaker 1: more superhuman if you will, right to augment to make 577 00:28:03,960 --> 00:28:06,320 Speaker 1: myself more efficient. So, first of all, you can think 578 00:28:06,320 --> 00:28:07,720 Speaker 1: of it like a coach. So I already said that 579 00:28:07,720 --> 00:28:09,120 Speaker 1: the quality of a life comes down as the question 580 00:28:09,160 --> 00:28:10,919 Speaker 1: that you ask, and most of you don't have the 581 00:28:10,960 --> 00:28:13,840 Speaker 1: domain expertise to ask it the specific questions you need, 582 00:28:13,960 --> 00:28:17,320 Speaker 1: so you can start earlier and you can you can. 583 00:28:17,280 --> 00:28:19,320 Speaker 2: Use it to train you. You can use it to 584 00:28:19,400 --> 00:28:19,880 Speaker 2: teach you. 585 00:28:20,760 --> 00:28:22,920 Speaker 1: So if you don't have the domain expertise, like I said, 586 00:28:22,960 --> 00:28:26,119 Speaker 1: I gave a financial example for you know, if you 587 00:28:26,119 --> 00:28:29,880 Speaker 1: don't have that, you can just ask it. I use 588 00:28:29,920 --> 00:28:31,720 Speaker 1: it as as a coach. I use it as a mentor. 589 00:28:31,760 --> 00:28:33,520 Speaker 1: I use the advisor depend on what I'm trying to do. 590 00:28:33,680 --> 00:28:36,720 Speaker 1: So for example, what I've been using it for, I've 591 00:28:36,760 --> 00:28:40,680 Speaker 1: been using it for like audience research. I talk about 592 00:28:40,680 --> 00:28:44,080 Speaker 1: these topics. This is my angle, this is who I am, 593 00:28:44,200 --> 00:28:47,680 Speaker 1: this is where I'm from. Who is the ideal audience 594 00:28:48,240 --> 00:28:50,600 Speaker 1: for this? And then it gives me ideal audience and 595 00:28:50,600 --> 00:28:51,800 Speaker 1: then I'll go back and forth A lot of it 596 00:28:51,880 --> 00:28:56,200 Speaker 1: comes through the optimization. Ask it multiple questions. Then I'll say, okay, great, 597 00:28:56,240 --> 00:28:57,280 Speaker 1: now we have this audience. 598 00:28:57,360 --> 00:29:01,080 Speaker 2: What are their main desires? What do they want to achieve? 599 00:29:01,160 --> 00:29:03,680 Speaker 2: What are their main fears? What are the main objections? Right? 600 00:29:03,720 --> 00:29:06,200 Speaker 1: So, like lots of audience research, I use it to 601 00:29:06,200 --> 00:29:07,880 Speaker 1: find like historical parallels. 602 00:29:08,280 --> 00:29:09,160 Speaker 2: Hey, this is happening. 603 00:29:09,200 --> 00:29:10,760 Speaker 1: So I kind of talked about like, hey, at a 604 00:29:10,840 --> 00:29:13,720 Speaker 1: time of like high inflation, low economic growth, debt to 605 00:29:13,760 --> 00:29:18,840 Speaker 1: GDP ratios, what periods of history align with this? 606 00:29:19,280 --> 00:29:20,760 Speaker 2: What happened at that time? 607 00:29:21,000 --> 00:29:21,160 Speaker 1: Right? 608 00:29:21,440 --> 00:29:22,040 Speaker 2: Things like that. 609 00:29:22,600 --> 00:29:25,160 Speaker 1: I can use it to help me find like definitions 610 00:29:25,280 --> 00:29:28,560 Speaker 1: or concepts. So like let's say financial concepts for example. 611 00:29:28,600 --> 00:29:30,400 Speaker 1: One that gets thrown around is like let's say like 612 00:29:30,440 --> 00:29:32,840 Speaker 1: fiscal dominance. You might have heard that before, Like what 613 00:29:33,000 --> 00:29:38,320 Speaker 1: exactly is fiscal dominance? What does fiscal dominance mean to 614 00:29:39,000 --> 00:29:42,800 Speaker 1: the economy, to the Federal Reserve, the central banks? 615 00:29:42,840 --> 00:29:43,840 Speaker 2: What does it mean to me? 616 00:29:44,840 --> 00:29:47,280 Speaker 1: Are what times in history have we seen fiscal dominance? 617 00:29:47,320 --> 00:29:49,480 Speaker 1: In times of fiscal dominance? What should I be paying 618 00:29:49,480 --> 00:29:49,880 Speaker 1: attention to? 619 00:29:49,960 --> 00:29:50,400 Speaker 2: How could I? 620 00:29:50,520 --> 00:29:52,040 Speaker 1: Right? So there's a lot that I can do there, 621 00:29:53,720 --> 00:29:56,520 Speaker 1: but you really have to think about asking more precise questions. 622 00:29:56,560 --> 00:29:57,880 Speaker 1: And if you don't know the right question to ask, 623 00:29:58,000 --> 00:30:00,280 Speaker 1: you can ask it question. 624 00:30:00,320 --> 00:30:01,120 Speaker 2: You should ask. 625 00:30:03,160 --> 00:30:04,800 Speaker 1: Some of the things that you can do. You can 626 00:30:05,040 --> 00:30:09,320 Speaker 1: upload information, so like I've uploaded a lot of my 627 00:30:09,640 --> 00:30:11,960 Speaker 1: writing and a lot of my videos, and so now 628 00:30:12,240 --> 00:30:14,120 Speaker 1: when I ask it to write something for me, you 629 00:30:14,120 --> 00:30:16,800 Speaker 1: can write it in my voice. Now, a couple of 630 00:30:16,840 --> 00:30:19,240 Speaker 1: pro tips here that I've learned is that again back 631 00:30:19,280 --> 00:30:22,240 Speaker 1: to the more specific and precise your question is the 632 00:30:22,240 --> 00:30:24,440 Speaker 1: better you're going to get back. So I say, here 633 00:30:24,680 --> 00:30:27,920 Speaker 1: is the role that you're in. You are an expert researcher. 634 00:30:28,320 --> 00:30:32,640 Speaker 1: You are a professional copywriter. You are a financial analyst. 635 00:30:32,720 --> 00:30:34,640 Speaker 1: So first you give it the role, then you give 636 00:30:34,680 --> 00:30:36,640 Speaker 1: it the job you want it to be done. You 637 00:30:36,680 --> 00:30:40,160 Speaker 1: are a professional, you're a financial analyst. Your job is 638 00:30:40,200 --> 00:30:44,080 Speaker 1: to evaluate this data. Your job is to write this newsletter. 639 00:30:44,120 --> 00:30:47,000 Speaker 1: Your job is to whatever. And then who the job 640 00:30:47,120 --> 00:30:52,560 Speaker 1: is for. So your job is a professional copywriter. The 641 00:30:52,680 --> 00:30:56,320 Speaker 1: job is to write a piece of copy. You're writing 642 00:30:56,360 --> 00:30:59,400 Speaker 1: it for this person, this avatar, this group of people. 643 00:30:59,800 --> 00:31:02,160 Speaker 1: And then what is the ultimate outcome? What I want 644 00:31:02,280 --> 00:31:04,640 Speaker 1: is I want it to be a five hundred word article. 645 00:31:04,880 --> 00:31:07,360 Speaker 1: I want it to be a spreadsheet I wanted to 646 00:31:07,360 --> 00:31:10,600 Speaker 1: be a new infographic or image. Then what do I 647 00:31:10,640 --> 00:31:13,840 Speaker 1: want If it's like writing and stuff like that, or 648 00:31:13,920 --> 00:31:16,160 Speaker 1: if it's images, I say. If it's writing, I say, 649 00:31:16,200 --> 00:31:20,280 Speaker 1: I want you to write it in a light conversational 650 00:31:20,360 --> 00:31:24,680 Speaker 1: tone with a fifth grade level or lower, for example, 651 00:31:24,800 --> 00:31:26,320 Speaker 1: or I want it to be written at a college 652 00:31:26,320 --> 00:31:29,120 Speaker 1: grade level, depend on what it is, right in a 653 00:31:29,640 --> 00:31:33,360 Speaker 1: very authoritative voice or a fun voice. If it's an image, 654 00:31:33,400 --> 00:31:36,600 Speaker 1: I'll say I want it to be with a hard 655 00:31:37,080 --> 00:31:44,320 Speaker 1: tech driven theme and using colors black, white, orange, and 656 00:31:44,360 --> 00:31:44,960 Speaker 1: some blue. 657 00:31:45,320 --> 00:31:45,520 Speaker 2: Right. 658 00:31:45,600 --> 00:31:47,959 Speaker 1: And so I'm giving it the more precise I can 659 00:31:48,000 --> 00:31:49,960 Speaker 1: give it, the more that I'm gonna get back to you. 660 00:31:50,360 --> 00:31:52,800 Speaker 1: But the thing is is that really it comes down 661 00:31:52,840 --> 00:31:57,040 Speaker 1: to mastering the art of good questions. Okay, another couple 662 00:31:57,040 --> 00:31:59,200 Speaker 1: of things that I want to just warn you about 663 00:31:59,480 --> 00:32:03,120 Speaker 1: is that understand that it can play that role to 664 00:32:03,240 --> 00:32:06,680 Speaker 1: help help you. It can help you research, It can 665 00:32:06,720 --> 00:32:09,440 Speaker 1: help you understand concepts and things like that, as we've 666 00:32:09,440 --> 00:32:11,719 Speaker 1: already talked about. But you have to understand the limits. 667 00:32:12,160 --> 00:32:12,520 Speaker 2: Okay. 668 00:32:12,760 --> 00:32:16,560 Speaker 1: It cannot replace professional advice. It can be a good 669 00:32:16,600 --> 00:32:18,960 Speaker 1: teaching tool, but don't take their word for it, especially 670 00:32:18,960 --> 00:32:22,320 Speaker 1: on critical issues like for example, I might say, you 671 00:32:22,320 --> 00:32:24,800 Speaker 1: know what happens when I don't what happens to my 672 00:32:24,840 --> 00:32:28,000 Speaker 1: body when I don't eat for twenty four hours? And 673 00:32:28,320 --> 00:32:31,720 Speaker 1: you know if I introduce fat only, does that break 674 00:32:31,760 --> 00:32:32,320 Speaker 1: my fast? 675 00:32:32,480 --> 00:32:32,640 Speaker 2: Right? 676 00:32:32,720 --> 00:32:34,760 Speaker 1: And I might ask it questions like that, But I 677 00:32:34,800 --> 00:32:37,600 Speaker 1: wouldn't say, like, give me a diet plan, because it's 678 00:32:37,640 --> 00:32:41,480 Speaker 1: been fed on language that I probably don't agree with. Right, 679 00:32:41,560 --> 00:32:44,000 Speaker 1: It's been given whatever the government puts out as like 680 00:32:44,000 --> 00:32:46,440 Speaker 1: good health advice, and like I don't agree with that, right, So, 681 00:32:46,520 --> 00:32:49,280 Speaker 1: like it's good for like researching, and that's why it's 682 00:32:49,280 --> 00:32:52,320 Speaker 1: good to augment you. But if you're trying to have 683 00:32:52,400 --> 00:32:54,120 Speaker 1: it tell you what to do, if you're if you're 684 00:32:54,120 --> 00:32:57,920 Speaker 1: taking it like as professional advice, health advice, financial advice 685 00:32:58,400 --> 00:33:01,560 Speaker 1: or whatever, it's probably gonna backfire. And I certainly wouldn't 686 00:33:01,600 --> 00:33:05,520 Speaker 1: do that at all, because, like I said, it's who 687 00:33:05,600 --> 00:33:07,880 Speaker 1: trained the model. What we can see is that both 688 00:33:07,960 --> 00:33:11,880 Speaker 1: Chetchipt and Jim and I are very, very heavily biased. 689 00:33:12,480 --> 00:33:15,200 Speaker 1: For example, we've seen several studies that show that Chatchipt 690 00:33:15,400 --> 00:33:19,720 Speaker 1: has a massive left wing bias, favoring like the Labor Party, 691 00:33:19,880 --> 00:33:22,720 Speaker 1: Joe Biden's Democrat Party, and so you just have to 692 00:33:22,760 --> 00:33:25,080 Speaker 1: understand that. You also would understand that, like I said, 693 00:33:25,120 --> 00:33:28,640 Speaker 1: it's been trained in one type of medical advice. And 694 00:33:28,720 --> 00:33:31,320 Speaker 1: so rather than like say, give me medical advice, what 695 00:33:31,360 --> 00:33:34,320 Speaker 1: I'd do is I'd use it as my research, right, 696 00:33:34,720 --> 00:33:38,280 Speaker 1: I'd use it to give me perspective, a supplementary source 697 00:33:38,320 --> 00:33:42,560 Speaker 1: of income, but not, like I said, as a definitive tool. 698 00:33:43,040 --> 00:33:47,560 Speaker 1: All right, Now back to sort of some of these fears. Now, well, 699 00:33:47,640 --> 00:33:49,760 Speaker 1: let's just talk about so, like already, just in the 700 00:33:49,840 --> 00:33:51,200 Speaker 1: last couple of months, I've been using it more and 701 00:33:51,200 --> 00:33:54,800 Speaker 1: more and more, and there are some fears here. So 702 00:33:54,880 --> 00:33:57,360 Speaker 1: technology does make us dependent on them. Back to that 703 00:33:57,400 --> 00:34:00,440 Speaker 1: example of the calculator, people were afraid that it would 704 00:34:00,600 --> 00:34:02,400 Speaker 1: people would start to pan on the calculator and they 705 00:34:02,440 --> 00:34:03,959 Speaker 1: wouldn't be able to do the calculations of their head 706 00:34:04,000 --> 00:34:04,360 Speaker 1: as much. 707 00:34:05,080 --> 00:34:05,800 Speaker 2: That's true. 708 00:34:06,360 --> 00:34:08,760 Speaker 1: One thing that I've noticed that I'm not particularly happy 709 00:34:08,760 --> 00:34:11,440 Speaker 1: about is I do a lot of outdoor stuff. I 710 00:34:11,520 --> 00:34:15,160 Speaker 1: lead dirtbike tours down in Mexico, and I've been doing 711 00:34:15,160 --> 00:34:17,840 Speaker 1: dirt bike tours across the open desert for now about 712 00:34:17,840 --> 00:34:20,520 Speaker 1: twenty years. And I'm pretty good at navigating my whole life. 713 00:34:20,560 --> 00:34:22,719 Speaker 1: I've been pretty goodt navigating. I know where I'm at, 714 00:34:23,120 --> 00:34:25,200 Speaker 1: I have a good sense of direction. But as I 715 00:34:25,239 --> 00:34:27,480 Speaker 1: just told you earlier, I'm using that ways app all 716 00:34:27,520 --> 00:34:29,239 Speaker 1: the time. Now, I've been using Google Maps and Ways 717 00:34:29,280 --> 00:34:31,360 Speaker 1: App for so long, and I can tell that my 718 00:34:31,480 --> 00:34:33,520 Speaker 1: navigation skills are nowhere. 719 00:34:33,160 --> 00:34:34,480 Speaker 2: Near as good as they used to be. 720 00:34:35,360 --> 00:34:36,719 Speaker 1: Like if I used to drive to someone's house, I 721 00:34:36,760 --> 00:34:38,439 Speaker 1: knew how to get there, and now because I used 722 00:34:38,440 --> 00:34:40,720 Speaker 1: Ways to get there, I forget how to get places. 723 00:34:41,680 --> 00:34:45,080 Speaker 1: And so my over reliance on technology has weakened my 724 00:34:45,160 --> 00:34:46,400 Speaker 1: ability for self navigation. 725 00:34:47,120 --> 00:34:47,640 Speaker 2: Some of the. 726 00:34:47,520 --> 00:34:50,040 Speaker 1: Fears that I'm afraid of is I've been using it 727 00:34:50,080 --> 00:34:52,320 Speaker 1: so much more lately to help me do market research, 728 00:34:52,360 --> 00:34:53,919 Speaker 1: to help me come up with new concepts, to help 729 00:34:53,960 --> 00:34:57,719 Speaker 1: me rewrite titles or come up with storylines and things 730 00:34:57,760 --> 00:34:58,200 Speaker 1: like that. 731 00:34:59,120 --> 00:35:01,240 Speaker 2: And it's so much faster, and it's. 732 00:35:01,080 --> 00:35:03,120 Speaker 1: So much more efficient, and in a lot of cases 733 00:35:03,160 --> 00:35:06,040 Speaker 1: it's really dang good. But I'm afraid that it will 734 00:35:06,520 --> 00:35:08,839 Speaker 1: it will weaken my own ability to. 735 00:35:08,880 --> 00:35:10,240 Speaker 2: Do the creative thinking. 736 00:35:10,600 --> 00:35:12,360 Speaker 1: Now it's a different type of creative thinking, Like I 737 00:35:12,360 --> 00:35:14,759 Speaker 1: have to become more creative in order to enable it, 738 00:35:14,760 --> 00:35:16,919 Speaker 1: in order to prompt it. So it's a different type 739 00:35:16,960 --> 00:35:21,400 Speaker 1: of creative thinking. But you know, it could certainly lower 740 00:35:21,440 --> 00:35:23,880 Speaker 1: my ability or that skill that I've developed over the 741 00:35:23,960 --> 00:35:27,880 Speaker 1: last whatever my career to really think through these properly. 742 00:35:28,200 --> 00:35:31,160 Speaker 1: So you know there is some of that, but you 743 00:35:31,200 --> 00:35:32,880 Speaker 1: have to understand that that's all part of it. So 744 00:35:33,000 --> 00:35:37,960 Speaker 1: like sure, being able to buy clothes at the store 745 00:35:38,320 --> 00:35:40,640 Speaker 1: took away my ability to make. 746 00:35:40,480 --> 00:35:41,360 Speaker 2: My own clothes. 747 00:35:41,920 --> 00:35:43,640 Speaker 1: Okay, that's the trade off I'm willing to make. I'll 748 00:35:43,680 --> 00:35:46,680 Speaker 1: make that trade off all day, right, So we have 749 00:35:46,719 --> 00:35:48,880 Speaker 1: to understand that, Like I don't have the ability to 750 00:35:48,920 --> 00:35:50,839 Speaker 1: grow my own food because I just get my food 751 00:35:50,880 --> 00:35:52,759 Speaker 1: at the store. So technology just changes things. 752 00:35:52,800 --> 00:35:53,680 Speaker 2: We have to understand that. 753 00:35:53,880 --> 00:35:55,960 Speaker 1: And you can choose to be mad at it and 754 00:35:56,000 --> 00:35:59,520 Speaker 1: get left behind, or you can choose how to use 755 00:35:59,560 --> 00:36:00,480 Speaker 1: it and get ahead. 756 00:36:00,480 --> 00:36:01,200 Speaker 2: Same with bitcoin. 757 00:36:01,400 --> 00:36:02,960 Speaker 1: A lot of people just don't want to believe in 758 00:36:03,000 --> 00:36:05,759 Speaker 1: bitcoin and they're just getting further and further behind. People 759 00:36:05,840 --> 00:36:08,920 Speaker 1: don't understand the AI, They're getting further and further behind. 760 00:36:09,040 --> 00:36:11,200 Speaker 1: And the best way to get involved with both is 761 00:36:11,280 --> 00:36:12,120 Speaker 1: to just jump in. 762 00:36:12,239 --> 00:36:12,840 Speaker 2: Start small. 763 00:36:13,360 --> 00:36:17,120 Speaker 1: Buy five dollars worth of bitcoin by five bucks, try 764 00:36:17,160 --> 00:36:22,279 Speaker 1: it out, jump on CHATGPT or Gemini, try it out, 765 00:36:22,560 --> 00:36:25,399 Speaker 1: ask it a couple questions. The best way is just 766 00:36:25,480 --> 00:36:27,799 Speaker 1: to get started and then play with it. Play with 767 00:36:27,840 --> 00:36:30,240 Speaker 1: it with an open mind, with a curious mind. Don't 768 00:36:30,239 --> 00:36:33,520 Speaker 1: be afraid. Now, we don't know the future. Could it 769 00:36:33,840 --> 00:36:35,439 Speaker 1: one day turn out to be something better it? 770 00:36:35,440 --> 00:36:36,440 Speaker 2: It might, We don't know. 771 00:36:37,280 --> 00:36:39,000 Speaker 1: Maybe you and I could have something to do to 772 00:36:39,160 --> 00:36:41,720 Speaker 1: influence it and not have it turn out that way. 773 00:36:41,960 --> 00:36:44,040 Speaker 1: But you won't be able to do that unless you're 774 00:36:44,040 --> 00:36:45,600 Speaker 1: already using it and you know how to use it. 775 00:36:45,640 --> 00:36:47,520 Speaker 1: All right, if you're just tune in your listening to 776 00:36:47,560 --> 00:36:50,400 Speaker 1: the Mark Mos Show, we're talking about always the intersection 777 00:36:50,480 --> 00:36:55,040 Speaker 1: of technology, finance, and politics. Today we're talking about technology 778 00:36:55,239 --> 00:36:57,200 Speaker 1: and how you can either use it and get ahead 779 00:36:57,280 --> 00:36:59,960 Speaker 1: or you cannot use it and fall further behind. Hopefully 780 00:37:00,160 --> 00:37:02,160 Speaker 1: you're in the group it gets further ahead. I certainly am, 781 00:37:02,520 --> 00:37:04,360 Speaker 1: and that's what I got. Thanks so much for listening today. 782 00:37:04,719 --> 00:37:06,440 Speaker 1: Hit me up on social media let me know you're listening. 783 00:37:07,200 --> 00:37:08,919 Speaker 1: Thanks for the support. Until the next time,