1 00:00:02,930 --> 00:00:05,199 You're listening to Perpetual Traffic. 2 00:00:10,920 --> 00:00:12,899 Hello and welcome to the Perpetual Traffic Podcast. 3 00:00:12,909 --> 00:00:22,159 This is your host, Ralph Burns and this is the show where we share cutting edge strategies and acquiring leads and sales to acquire more customers for your business through traffic. 4 00:00:22,170 --> 00:00:25,850 And today we're not gonna talk about traffic. 5 00:00:26,389 --> 00:00:35,830 We're gonna talk about A I, but there's so much hubbub about like that hub hub, hubbub about chat, chat. 6 00:00:35,840 --> 00:00:53,750 GP T people are probably confused as to where to go right now, what to do and what tools to use and we're gonna eliminate that confusion entirely by your carefully curated A I related list here today. 7 00:00:53,759 --> 00:00:55,750 I don't think we're gonna eliminate it entirely. 8 00:00:56,229 --> 00:00:59,509 I think we're actually, we might add to the confusion, but in a really fun way. 9 00:00:59,799 --> 00:01:03,180 Well, I'm trying to overpromise and under deliver in this podcast. 10 00:01:03,189 --> 00:01:07,190 That's what we do here on this podcast every week. 11 00:01:07,199 --> 00:01:12,769 So, you know, and one new A I world authority comes out, it's seemingly every day. 12 00:01:13,059 --> 00:01:18,230 So we've already anointed you the world's authority on A I just in general. 13 00:01:18,239 --> 00:01:21,489 So it's only appropriate that you create this list. 14 00:01:21,830 --> 00:01:23,500 Yeah, I've been obsessive Ralph. 15 00:01:23,510 --> 00:01:27,000 So here's what I do is any time I want to learn anything I buy every book available on the topic. 16 00:01:27,010 --> 00:01:30,510 I watch every video, every interview I take the tutorials. 17 00:01:30,519 --> 00:01:31,639 I'm not the authority. 18 00:01:31,650 --> 00:01:48,239 By the way, every time I learn more about a, I, I realize how little I know, but I'll say just for the listener, if you do want to do a deep dive, I've read most of the top line books And the best one so far is Life Three point oh by Max Tigar, whose name I'm probably mispronouncing. 19 00:01:48,500 --> 00:01:54,519 And what I like about it is he doesn't try to explain a i from a technical perspective because I'd never understand it. 20 00:01:55,160 --> 00:02:04,139 But he kind of explains the implications and it's a relatively old book as far as A I is concerned, it was published in 2017, but he's an M I T professor Super, super, super sharp cat. 21 00:02:04,319 --> 00:02:05,410 So I'd go track that one down. 22 00:02:05,419 --> 00:02:11,229 And then also there's an interview between Sam Altman and Lex Friedman that's relatively new. 23 00:02:11,470 --> 00:02:17,779 And it's amazing and it really kind of helps you start to understand what's happening, what's important. 24 00:02:17,789 --> 00:02:19,320 So we'll leave links to that in the show notes. 25 00:02:19,449 --> 00:02:32,500 But dude, what's funny about A I is I do, I'm a card carrying prepper like I've got potassium iodide in my home and I've never felt more optimistic about humanity than I have. 26 00:02:32,509 --> 00:02:44,660 I, it's like what is available to us all of a sudden the commoditization of knowledge, thought processes, computing power, how it's going to decrease the cost of power in general, which is at the root of our money right now. 27 00:02:44,669 --> 00:02:48,679 You know, we have an oil backed currency like it's un on a long enough time line. 28 00:02:48,690 --> 00:02:50,520 It's like Star Trek Utopian. 29 00:02:50,529 --> 00:02:54,479 Now on a short timeline, everybody loses their jobs and we have to vote in universal basic income. 30 00:02:54,490 --> 00:02:59,059 But, but in the meantime, there's this messy middle where I think we can use A I to make a bunch of money. 31 00:02:59,289 --> 00:03:03,559 I've got a ton of tools to go through and I'd love for you to just start lobbing grenades at me as I go through these. 32 00:03:03,570 --> 00:03:03,949 Cool. 33 00:03:04,179 --> 00:03:04,649 Hm. 34 00:03:04,789 --> 00:03:05,020 Yeah. 35 00:03:05,029 --> 00:03:07,779 Can you mention the book yet again? 36 00:03:07,789 --> 00:03:08,429 For the listeners? 37 00:03:08,440 --> 00:03:09,389 You said that very quickly? 38 00:03:09,399 --> 00:03:09,479 Yeah. 39 00:03:09,490 --> 00:03:13,789 Life three point oh max tag, Mark Teg Mark. 40 00:03:13,800 --> 00:03:22,139 He's a, he's an M I T professor and he just talks about A I from like uh a philosophical perspective which I think is really important. 41 00:03:22,149 --> 00:03:29,509 I'll give you an example as to why the developers who are building A I mechanisms don't know how they're built. 42 00:03:29,520 --> 00:03:31,509 They don't know, they'll be the first ones to admit this. 43 00:03:31,520 --> 00:03:38,570 And when you watch these interviews, you start to, you kind of grapple with this idea that what they've done is instead of coding rules. 44 00:03:38,580 --> 00:03:47,240 Like if this, then that accept when that's just software, what they've done with A I is they've built these neural networks, basically these digitized neural networks. 45 00:03:47,250 --> 00:03:49,869 And this is a dummy explaining to you something that he doesn't understand himself. 46 00:03:49,880 --> 00:03:52,979 So this is just like the dumbest surface Surfas version. 47 00:03:53,440 --> 00:03:58,089 But they built these digital neural networks and then they give the network input and output information. 48 00:03:58,100 --> 00:04:23,220 So the simplest example that was explained to me was, you know, here's 1000 images of people, a human tells you, oh, this is a man, this is a woman, so man, woman, man, man, man, woman, woman, man, woman and, and you go back and forth and the neural network establishes the rules for itself and starts to tell you oh man, woman, man, woman, but you don't know, technically speaking, strictly speaking what it is, you know, is it the high cheekbones? 49 00:04:23,230 --> 00:04:23,989 Is it the long hair? 50 00:04:24,000 --> 00:04:30,549 Is it the broad shoulders is like it builds its own Rules engine and you think like OK, well, that imagery example is pretty good. 51 00:04:30,920 --> 00:04:48,410 But if you extrapolate that across every level of analysis, what's crazy is A I is beating right now today, radiologists 1000 times out of 1000 the A I gets radiology readings right, more accurately than any radiologist alive. 52 00:04:48,420 --> 00:05:02,809 And this is a $400,000 a year job that this computer just replaced as soon as the insurance companies can like grapple with how to properly insure this A I beats radiology and it's going to beat a lot of things. 53 00:05:02,820 --> 00:05:04,989 And so you know, you can hide from it if you want to. 54 00:05:05,000 --> 00:05:08,470 But what I'd recommend is leaning into it and it's not hard to lean into it. 55 00:05:08,480 --> 00:05:09,399 That's the best part. 56 00:05:09,510 --> 00:05:12,769 What's cool about A I is you're not actually learning a new skill set. 57 00:05:13,010 --> 00:05:31,649 You're learning how to talk to a new friend is the way I propose or I posit that we play with this and I'll show you what I mean with a couple of these different tools if you're interested in getting information without they overwhelm, I subscribe to a ton of newsletters that offer you daily updates on A I my three favorite in this reverse order for third place. 58 00:05:31,660 --> 00:05:40,470 We have T L D R A I. So the T L D R newsletter go to T L D R newsletter dot com and you can sign up for their A I newsletter and it's pretty damn good. 59 00:05:40,480 --> 00:05:41,390 It's my third favorite. 60 00:05:41,399 --> 00:05:42,149 It's worth mentioning. 61 00:05:42,160 --> 00:05:45,839 My second favorite silver medal goes to A I encyclopedia dot com. 62 00:05:45,850 --> 00:05:49,339 Same thing, better formatting a little bit better context. 63 00:05:49,350 --> 00:05:52,600 If you ask me a lot of the same news and updates and information. 64 00:05:52,820 --> 00:05:57,519 But the best one, if you're only gonna subscribe to one, I'm not an affiliate, although it should be is the rundown. 65 00:05:57,850 --> 00:06:13,480 The rundown is I think the most robust, it has the best information, the best context and at the end of every newsletter, it gives you a whole slew of fun little toys to play with with a little input on what each one of them does. 66 00:06:13,489 --> 00:06:17,600 You know magic eraser, erase unwanted background objects and images with the link. 67 00:06:17,609 --> 00:06:19,140 And then I get to go play with magic eraser. 68 00:06:19,149 --> 00:06:21,079 So all the tools that I'm sharing with you. 69 00:06:21,089 --> 00:06:27,809 I found either through the newsletter or by following the bread crumbs provided by these newsletters. 70 00:06:28,149 --> 00:06:32,299 And the rundown has a library. 71 00:06:32,309 --> 00:06:35,230 They have a library that they call their super tools library. 72 00:06:35,239 --> 00:06:40,209 Just go to the rundown dot A I and A I encyclopedia has a very similar library. 73 00:06:40,220 --> 00:06:45,390 But man, there's just like an unbelievable amount of resources here available to everybody. 74 00:06:45,399 --> 00:06:47,410 So I'm gonna dive into the ones that I like. 75 00:06:47,420 --> 00:06:54,170 You know, I'm not gonna mention Chat GP T because everybody knows chat GP T but I will say it's a miracle. 76 00:06:54,450 --> 00:06:55,679 It's a miracle. 77 00:06:55,700 --> 00:06:57,420 It's a blessing of human achievement. 78 00:06:57,429 --> 00:07:07,440 If you haven't played with Chat G BT, maybe don't even listen to the rest of this episode, like say whatever time it is that you're about to use listening to this and go just mess around with chat G BT. 79 00:07:07,630 --> 00:07:12,420 But don't treat it like software, treat it like a person. 80 00:07:12,429 --> 00:07:15,679 I know it's really creepy, but we treat software in a very specific way. 81 00:07:15,690 --> 00:07:33,980 But if you talk to chat GP T, like it's a living entity, you get way more out of it and then you can massage it really, really well, you know, you can tell chat GP T like, hey, talk to me as though you're Marcus Aurelius and then start asking questions and chat GP T is gonna respond to you the way Marcus Aurelius will respond to you. 82 00:07:33,989 --> 00:07:36,989 And if you think about like the implications there, it's unbelievable. 83 00:07:37,279 --> 00:07:47,290 So chat GP T aside, the first tool I'll mention is Synthia Synthia dot I O it's A I generated videos from plain text. 84 00:07:47,309 --> 00:07:59,820 Now, the videos I if you ask me, they're actually kind of creepy like you, what I'm looking at right now is there's an attractive young woman who's reading whatever it is that we would type in this text box and she can do it in any language so or not any language. 85 00:07:59,829 --> 00:08:01,899 But you know, they have like English, Spanish, German, French. 86 00:08:01,910 --> 00:08:06,029 So all these major languages and I can choose a man or a woman, different races, different ages. 87 00:08:06,359 --> 00:08:10,059 Now, they don't look 100% human just yet. 88 00:08:10,320 --> 00:08:16,299 But I think everybody should go play with this tool because you need to see what's coming. 89 00:08:16,309 --> 00:08:21,950 It kind of looks like an Android only if I'm paying a lot of attention. 90 00:08:21,959 --> 00:08:26,010 But if I'm not paying attention, some of these look super legit. 91 00:08:26,279 --> 00:08:35,929 And if you're spending money on media, production, creation tutorial videos, ad videos, how to videos compared to what video costs to create. 92 00:08:36,200 --> 00:08:37,890 This is effectively free. 93 00:08:38,039 --> 00:08:39,590 Wow, it's really cool. 94 00:08:39,599 --> 00:08:44,609 That's worth worth playing with a short scene that looks legit. 95 00:08:44,679 --> 00:08:48,150 It's a good thing we have now video for this show, dude. 96 00:08:48,159 --> 00:08:59,549 Well, that's what's crazy too is some of these, I don't, I don't think Synthia does this but some of these tools let you upload your videos of you and then it like digitizes you. 97 00:09:00,460 --> 00:09:00,840 Oh, wow. 98 00:09:00,849 --> 00:09:01,590 No, I just lied to you. 99 00:09:01,599 --> 00:09:02,669 Synthia does do this. 100 00:09:02,679 --> 00:09:06,429 You can create your own high quality custom A I avatar including your voice. 101 00:09:07,059 --> 00:09:09,940 Can we like replace ourselves in this podcast with A I? 102 00:09:09,950 --> 00:09:13,159 Probably we should, people would like the digitized version of us better. 103 00:09:13,169 --> 00:09:16,849 Anyway, my digital costume would go on way less political rants. 104 00:09:17,679 --> 00:09:33,159 Well, you know, it could exacerbate or, or emphasize that side of your personality too, or it could go just way this would become a, like a Libertarian who hates other Libertarians podcast and again, just go play with it. 105 00:09:33,169 --> 00:09:34,890 All of these, just go play with them. 106 00:09:34,900 --> 00:09:37,229 So like you can create a free eye video here. 107 00:09:37,270 --> 00:09:41,450 It's just unbelievable what's possible and you can tell the A I exactly what to say. 108 00:09:41,460 --> 00:09:44,520 So, Synthia, we'll leave all the links to these in the show notes. 109 00:09:44,530 --> 00:09:45,250 That's number one. 110 00:09:45,840 --> 00:09:53,520 Number two is Tweet Hunter dot I O I've been diving really deep into Twitter, actually write a Twitter thread every single day. 111 00:09:53,530 --> 00:10:00,969 I took a Twitter master class and they said the growth strategy in Twitter is to write threads and they recommended writing one a week. 112 00:10:00,979 --> 00:10:15,090 And I was like, well, I'll write one a day and I've been doing that dude, my Twitter's blown up but the tool that's helped me the most is Tweet Hunter and it has a I driven recommendations based off of who I follow what I say, what they think is right for me. 113 00:10:15,179 --> 00:10:27,450 And then also a I powered writing, which I'm sure is just GP T powered, you know, API integration, but it's through the lens or through the paradigm of Twitter, which ends up being like, really helpful and really cool. 114 00:10:27,460 --> 00:10:35,849 So if you're a Twitter user or wanna get into Twitter, Tweet Hunter is super cool and has way more features than I'm mentioning here. 115 00:10:35,859 --> 00:10:38,330 But the A I driven writing has been really helpful. 116 00:10:38,340 --> 00:10:40,450 I never use the writing wholesale. 117 00:10:40,460 --> 00:10:42,460 So if you see my tweets, I actually wrote those tweets. 118 00:10:42,530 --> 00:10:46,030 But what I really like a I driven writing for is ideation. 119 00:10:46,719 --> 00:10:50,890 It's really nice to have it come up and say like, oh, here's an idea, here's how you break it down. 120 00:10:50,900 --> 00:10:57,809 Or even if I have the idea Twitter threads are hard sometimes because you're breaking up a big idea into small bullets. 121 00:10:57,979 --> 00:11:02,390 And so like, teach me how to break that up and then I rewrite it myself. 122 00:11:02,400 --> 00:11:06,150 So the idea behind what Tweet Hunter offers is really, really cool. 123 00:11:06,159 --> 00:11:06,570 OK. 124 00:11:06,770 --> 00:11:07,330 Got it. 125 00:11:07,340 --> 00:11:17,150 The content is you, but it helps, you said break them up or at least have a cohesive thought on each separate part of the thread. 126 00:11:17,940 --> 00:11:18,549 Yeah. 127 00:11:18,559 --> 00:11:23,349 So basically I'll write an article and then say, hey, turn this into a Twitter thread. 128 00:11:24,140 --> 00:11:28,539 And, you know, Twitter has character limitations and the threads need to be broken up in really specific ways. 129 00:11:28,549 --> 00:11:32,400 And the way that Twitter threads are written isn't necessarily the way that people write. 130 00:11:32,710 --> 00:11:34,929 You tend to write in larger ideas. 131 00:11:34,940 --> 00:11:40,669 And then Twitter wants you to break it up into smaller little bite size pieces, which is actually easier to read. 132 00:11:40,679 --> 00:11:43,630 So it's more for the reader than it is for the writer totally. 133 00:11:43,640 --> 00:11:45,250 Instead of a wall of text. 134 00:11:45,260 --> 00:11:46,590 I mean, it's like choked out. 135 00:11:47,020 --> 00:11:49,969 Then you can like and retweet like each individual idea. 136 00:11:49,979 --> 00:11:53,409 So it helps with that like making each individual. 137 00:11:53,719 --> 00:11:53,909 Yeah. 138 00:11:53,919 --> 00:11:54,780 Breaking it up. 139 00:11:54,789 --> 00:11:55,250 OK. 140 00:11:55,539 --> 00:11:55,630 Yeah. 141 00:11:56,030 --> 00:11:56,659 Super interesting. 142 00:11:56,669 --> 00:11:57,650 And that's a good way to think about it. 143 00:11:57,659 --> 00:12:01,630 So you want every individual idea wherever possible to be tweet stand alone? 144 00:12:01,640 --> 00:12:03,039 That that's what I was getting at. 145 00:12:03,049 --> 00:12:03,340 OK. 146 00:12:03,349 --> 00:12:07,520 Which I think it's hard for some people to be able to do like, you know, I'm still not good at it. 147 00:12:07,530 --> 00:12:15,344 Like my Twitter threads are probably not, they're still not like gold standard Twitter threads, but I'm getting better and it's tools like these make it possible or at least make it a little bit faster. 148 00:12:15,354 --> 00:12:16,125 To be honest with you. 149 00:12:16,135 --> 00:12:20,565 Is there a limit to how many threads should be in a single thread? 150 00:12:20,575 --> 00:12:27,184 Because I've seen some seems like 12 to 20 is about the limitation because then people drop off. 151 00:12:27,195 --> 00:12:33,184 But in the course that you took like what would be your recommendation and does Tweet 100 dot I O help you with that? 152 00:12:34,010 --> 00:12:34,219 Yeah. 153 00:12:34,229 --> 00:12:35,340 Well, it's a good question. 154 00:12:35,349 --> 00:12:36,419 I don't know if they help you with that. 155 00:12:36,429 --> 00:12:38,320 What I do if mine get too long. 156 00:12:38,330 --> 00:12:40,099 We break it up into part one and part two. 157 00:12:40,109 --> 00:12:40,690 Got it. 158 00:12:40,950 --> 00:12:41,760 I'm with you. 159 00:12:41,770 --> 00:12:45,619 I think like 15 is about as much as we'll go. 160 00:12:45,799 --> 00:12:51,080 And then after that, it gets a little exhausting and I might have a couple that are a little bit longer than that, but not many. 161 00:12:51,880 --> 00:12:53,359 Ok, cool. 162 00:12:53,369 --> 00:13:05,469 So we got Synthia dot I O Well, leave links in the shouts for all of this as well as the books and the newsletters that you mentioned at tweet hunter dot I O what's next dock ays dot com? 163 00:13:05,729 --> 00:13:08,330 Dude, this thing is freaking amazing. 164 00:13:08,700 --> 00:13:13,049 You upload any PDF document that you want. 165 00:13:13,059 --> 00:13:23,090 I uploaded a blood test that I took and then I can get, they want to see what your chem seven is your man, dude here. 166 00:13:23,099 --> 00:13:23,659 That's crazy. 167 00:13:23,669 --> 00:13:28,840 And then I'm gonna ask it like, how is my cholesterol? 168 00:13:28,849 --> 00:13:30,739 And it just occurred to me, Ralph that we're showing video. 169 00:13:30,750 --> 00:13:31,020 Now. 170 00:13:32,630 --> 00:13:36,619 We'll have to uh yeah, we'll have to blur this out postproduction. 171 00:13:36,950 --> 00:13:38,679 I didn't realize that you had herpes. 172 00:13:38,929 --> 00:13:39,599 Oh my God. 173 00:13:40,830 --> 00:13:42,809 Do you know you don't remember that night? 174 00:13:43,239 --> 00:13:44,989 Barely. 175 00:13:45,890 --> 00:13:47,270 And it got dark. 176 00:13:47,280 --> 00:13:55,989 So I've uploaded a PDF document of a blood test and I asked it about my cholesterol levels and it's like your L D L cholesterol is slightly elevated, which may indicate an increase. 177 00:13:56,000 --> 00:14:05,950 But what's cool is if I had a contract for instance, or an agreement or terms of service, anything in a PDF, you upload it and then you can ask it summary questions. 178 00:14:05,960 --> 00:14:08,854 And so when somebody sends you, I, I'd use this for agreements. 179 00:14:08,955 --> 00:14:15,614 Somebody sends you their N D A or, you know, this big heavy, you know, whatever it does have some file size limitations. 180 00:14:15,625 --> 00:14:17,375 I tried to upload my book and it wouldn't take it. 181 00:14:17,385 --> 00:14:19,234 I hate reading that stuff. 182 00:14:19,244 --> 00:14:20,094 I do too. 183 00:14:20,104 --> 00:14:24,294 And so it's cool to have like this little A I bot that, you know, will tell you, oh, here's what you should worry about. 184 00:14:24,304 --> 00:14:25,104 Here's what this means. 185 00:14:25,114 --> 00:14:26,594 Here's the terms of service, here's whatever. 186 00:14:27,510 --> 00:14:28,500 That's a killer. 187 00:14:28,929 --> 00:14:29,179 Yeah. 188 00:14:30,450 --> 00:14:35,710 Last time spent reading Docs, I got a 17 page N D A last week. 189 00:14:35,719 --> 00:14:37,390 I'm like, oh my God. 190 00:14:37,830 --> 00:14:38,580 I know. 191 00:14:38,590 --> 00:14:46,340 So when people send me that stuff, I'm just like what you're asking me not to do business with you like I have to really want, yeah, that's a long story. 192 00:14:46,349 --> 00:14:52,359 I sign N D A s for new prospects when we do the Google Ad account audit. 193 00:14:52,619 --> 00:14:56,630 And people are like, oh yeah, just sign my N D A. I'm like, no, I actually have a, I have a page. 194 00:14:56,640 --> 00:15:06,469 If anybody has any interest, you can go to sol dot com forward slash N D A. And it's just a page that says why we don't sign N D A s and we talk about how the language is opaque. 195 00:15:06,479 --> 00:15:10,109 It subjects you to abuse of litigation organizations are transient. 196 00:15:10,119 --> 00:15:15,809 So I've signed an N D A with one group that got sold to another group and now I'm beholden to this other group and there was a conflict of interest there. 197 00:15:16,119 --> 00:15:22,030 Now, I will sign an N D A for far enough along if I really think we're gonna do business together if I really want your business. 198 00:15:22,229 --> 00:15:29,030 But early stage when you send me over just that like, oh, I downloaded this from Legal Zoom N D A, I'm not signing that thing. 199 00:15:29,039 --> 00:15:32,880 And if you're listening, don't sign those, they're so dangerous. 200 00:15:32,900 --> 00:15:34,260 Nobody realizes how dangerous they are. 201 00:15:34,270 --> 00:15:42,580 Don't the other alternative is if it's important you have to have your attorney looking over it and ours is $600 an hour. 202 00:15:42,590 --> 00:15:57,950 So I was just gonna say, I mean that to be able to do this at least cover your yourself and then saying, all right, well, maybe if you need to get the final stamp of approval, then you send it off to your lawyer if it does go that way. 203 00:15:57,960 --> 00:15:59,929 But man, this is a good one. 204 00:16:00,510 --> 00:16:01,510 That's cool. 205 00:16:01,539 --> 00:16:02,969 That's dois dot com. 206 00:16:02,979 --> 00:16:09,530 The next one I love, I'm huge into youtube obviously, but there's chat youtube dot com. 207 00:16:09,539 --> 00:16:10,510 Here's what's cool about it. 208 00:16:10,729 --> 00:16:17,909 You give chat youtube dot com a link to any youtube video and then you can talk through that video and you can ask your questions about that video. 209 00:16:17,919 --> 00:16:25,359 So it summarizes the video for you and then it allows you to have conversation with whoever's on the video really basic. 210 00:16:25,369 --> 00:16:34,059 Again, it's just a chat GP T integration with the modified U I funneled in a way that makes it a little bit more engaging. 211 00:16:34,469 --> 00:16:38,900 And when I give chat GP T youtube, it always messes it up, it always pulls the wrong video. 212 00:16:38,909 --> 00:16:40,299 This doesn't for some reason. 213 00:16:40,309 --> 00:16:43,369 So however, it is built out, the API integration obviously works better. 214 00:16:43,390 --> 00:16:50,900 So it summarizes it like bullet point style even if it's like, what impact can we expect? 215 00:16:50,909 --> 00:16:52,700 I uploaded a video on the economy. 216 00:16:52,789 --> 00:16:55,419 So I'm gonna ask it what impacts we can expect this year. 217 00:16:55,530 --> 00:16:59,539 And it says the video doesn't specifically mention any potential impacts for this year. 218 00:16:59,549 --> 00:17:04,160 The speaker does discuss the need for regulation of emerging technology and how it could impact industries. 219 00:17:04,180 --> 00:17:16,098 It's just like a fun, especially for longer form videos, you know, some of the videos I watch like four hours long and if you just want to get to the root right in the middle and then start, how accurate is it seven on a 10 scale. 220 00:17:16,108 --> 00:17:16,479 OK. 221 00:17:16,489 --> 00:17:17,828 So it's not got you. 222 00:17:17,838 --> 00:17:24,009 Yeah, I've uploaded some videos, you know, I've been watching all these A I videos with Sam Altman and I uploaded some of those and it does a pretty good job. 223 00:17:24,308 --> 00:17:26,128 There's this book called Make It Stick. 224 00:17:26,138 --> 00:17:27,048 Have you heard of Make It Stick? 225 00:17:27,058 --> 00:17:27,888 Do you know what I'm talking about? 226 00:17:28,519 --> 00:17:32,749 No, the book came from university back study. 227 00:17:32,759 --> 00:17:41,569 I forget the university or maybe it was universities and all they did was identify what it actually takes to learn, make it stick what it takes for people to learn. 228 00:17:41,579 --> 00:17:43,729 The book should be an infographic, to be honest with you. 229 00:17:43,739 --> 00:17:45,670 I think they just wanted a book so they could get speaking gigs. 230 00:17:45,680 --> 00:17:51,449 But it's a really good piece of information regardless it came down to after you've learned something. 231 00:17:51,459 --> 00:17:59,530 So after you've read something or after you watched a video, it's repetition of those concepts often through testing, but not necessarily through testing. 232 00:17:59,540 --> 00:18:01,630 This is why flashcards have always been so helpful. 233 00:18:01,869 --> 00:18:10,170 So after you watch a video upload that video into something like chat, youtube and then just go chat with the video about 5 to 10 of the best concepts. 234 00:18:10,180 --> 00:18:13,709 And that alone is going to help you with your retention. 235 00:18:14,069 --> 00:18:20,640 And I think little tools like this again, don't treat it like a software treat it like a person that helps you with your learning and your retention. 236 00:18:20,650 --> 00:18:25,439 And your idea is this the chip Heath book not made to stick. 237 00:18:25,709 --> 00:18:28,280 No, make it stick it stick. 238 00:18:28,290 --> 00:18:28,510 OK. 239 00:18:28,520 --> 00:18:29,319 Made to stick. 240 00:18:29,329 --> 00:18:33,599 I have read, that's what I'm not learning. 241 00:18:33,880 --> 00:18:35,050 I don't know, I read it. 242 00:18:35,109 --> 00:18:48,060 It wasn't bad but it wasn't, you know, there's this weird trend, dude where people take really simple concepts that could just be like a good blog and then they turn it into a whole book and that's how I felt about this. 243 00:18:48,069 --> 00:18:51,800 Like it was a really good concept but I mean, this didn't need to be a book. 244 00:18:52,280 --> 00:18:55,670 Um Yeah, because made to stick is more marketing based. 245 00:18:55,739 --> 00:18:57,030 No, this is make it stick. 246 00:18:57,040 --> 00:18:59,829 I think, I think Brandon Turner told me about this, right? 247 00:18:59,839 --> 00:19:04,920 We will, we will leave the correct link in the show notes, notes. 248 00:19:05,040 --> 00:19:07,589 Let's start youtube, go chat with any youtube video. 249 00:19:07,599 --> 00:19:09,589 It does better with some people than others. 250 00:19:09,599 --> 00:19:16,449 The stronger the personality of the person, the more distinct the personality of the person in the video, the better the chat is. 251 00:19:17,089 --> 00:19:21,650 So if you get people that are like really divisive, then the chat gets kind of fun. 252 00:19:21,900 --> 00:19:28,400 The next one is a crafter dot A I which lets you create Google ad copy. 253 00:19:28,410 --> 00:19:31,979 And again, probably just a GP T A I integration. 254 00:19:31,989 --> 00:19:33,140 I don't know that for a fact. 255 00:19:33,380 --> 00:19:43,560 But the interface, the output, the training really well done and not too expensive, you know, like €20 a month here, €30 a month. 256 00:19:43,569 --> 00:19:44,780 I think that you're on the dollar right now. 257 00:19:44,790 --> 00:19:44,979 Are Peru? 258 00:19:45,319 --> 00:19:55,550 Aren't they pretty much you know, for 30 bucks a month you can create 200 ads a month and we're a massive agency and we don't create, well, we probably do, but I had to think about it. 259 00:19:55,560 --> 00:19:55,979 You know what I mean? 260 00:19:55,989 --> 00:19:58,770 You're not often creating that many ads, especially after your ads are already created. 261 00:19:58,780 --> 00:20:01,150 The split testing after the fact happens in app. 262 00:20:01,160 --> 00:20:06,859 Cool little tool really worth playing with, especially for Google ads. 263 00:20:06,959 --> 00:20:07,369 Got it. 264 00:20:07,619 --> 00:20:07,829 Yeah. 265 00:20:07,839 --> 00:20:13,229 But if you're doing any ad copy creation, I've never used these wholesale instead. 266 00:20:13,239 --> 00:20:14,219 You just use it for idea. 267 00:20:14,760 --> 00:20:19,430 I don't, that's the thing, dude, that's the thing about A I is I don't think anybody should use any of this crap wholesale yet. 268 00:20:19,439 --> 00:20:20,609 We'll get there. 269 00:20:21,250 --> 00:20:26,420 But yeah, if you're just writing a blog in A I and publishing it, like you're asking for so much trouble. 270 00:20:26,439 --> 00:20:27,050 God. 271 00:20:27,910 --> 00:20:29,250 I mean, that's why I asked you before. 272 00:20:29,260 --> 00:20:30,719 Like, how accurate is it? 273 00:20:30,729 --> 00:20:35,099 It's like 70 to 90% but the 10% might make a really big difference. 274 00:20:35,130 --> 00:20:40,520 Well, and because with, with the proliferation of A I, it will make all the difference, right? 275 00:20:40,530 --> 00:20:44,000 Like that'll be how people start to tell for sure, for sure. 276 00:20:44,390 --> 00:20:57,640 So all these tools, it seems like most of them have a free version because we've gone through Synthia dot I O Tweet Hunter die at I O duck Ays dot com, which is 100% free. 277 00:20:57,650 --> 00:21:06,560 Like I, and they haven't asked me maybe I'm on the premium version and once I get to a certain number of files or a certain file size, but it hasn't asked me anything yet. 278 00:21:06,569 --> 00:21:09,540 A lot of these A I tools, I think they're, it's actually really intelligent. 279 00:21:09,550 --> 00:21:10,640 Just go back delete. 280 00:21:10,810 --> 00:21:10,829 Yeah. 281 00:21:11,349 --> 00:21:11,739 Yeah. 282 00:21:12,050 --> 00:21:15,160 And then someday I have to type permanently delete. 283 00:21:15,170 --> 00:21:17,150 I don't want people to see all my medical records. 284 00:21:17,449 --> 00:21:17,920 Oh. 285 00:21:17,989 --> 00:21:19,780 Uh, oh, well, we've already revealed it. 286 00:21:21,310 --> 00:21:28,869 Yeah, the herpes, the herpes was the least of which I was a little, a little, it has a little herpes in. 287 00:21:29,280 --> 00:21:29,810 It's true. 288 00:21:30,599 --> 00:21:30,890 Digital. 289 00:21:30,900 --> 00:21:31,630 Her look it up. 290 00:21:33,880 --> 00:21:38,189 If you have feedback for us, go to perpetual traffic dot com forward slash better, worse. 291 00:21:39,010 --> 00:21:41,239 Uh I can make this podcast worst. 292 00:21:41,250 --> 00:21:41,650 Ok. 293 00:21:41,660 --> 00:21:53,290 So we got A dot A I for Google ads and then what just teeing you up and just trying to pump up your authority here. 294 00:21:53,680 --> 00:21:55,969 You and I love shows like this. 295 00:21:55,979 --> 00:22:02,930 Hopefully, like there's a certain percentage of our listeners who are like, you just want to go out and play with the tools. 296 00:22:02,939 --> 00:22:16,430 I'd rather have somebody smart, go out and play for the show, you know, curate the list for me you're mentioning, dude, I've played with hundreds of these little and most of them, most of the guys you play with. 297 00:22:16,849 --> 00:22:20,310 Yeah, it's a little, a little neurotic. 298 00:22:20,699 --> 00:22:25,869 Um This next one is my, is maybe for me it's very advantageous for myself. 299 00:22:27,180 --> 00:22:33,359 I'm doing the hard work do pro P us dot pro. 300 00:22:33,459 --> 00:22:35,369 Dude, this one's nuts. 301 00:22:35,380 --> 00:22:36,089 It's nuts. 302 00:22:36,099 --> 00:22:36,790 What it does? 303 00:22:37,069 --> 00:22:44,650 You upload a long form video or it doesn't have to be long form, but you upload a longer video and 100% A I driven. 304 00:22:44,660 --> 00:22:46,810 No human intervention whatsoever. 305 00:22:47,229 --> 00:23:04,319 It identifies where in the video the Golden Nuggets are, it edits the video according to where the avatar speaking, the person speaking is and then it cuts it into according to them Hermoza style short clips. 306 00:23:05,050 --> 00:23:08,109 I've uploaded my own videos in this and dude, it's insane. 307 00:23:08,119 --> 00:23:11,560 Like the A I knows if I have three minutes worth of content. 308 00:23:11,569 --> 00:23:20,979 It goes, oh, here's the 45 seconds that were actually really good and it pulls it out, it edits it and it does it in this really fun like super fast way. 309 00:23:21,199 --> 00:23:22,239 It's unbelievable. 310 00:23:22,250 --> 00:23:31,459 It's unbelievable A I face detection A I highlighting it, auto transcribes auto captions, auto crops and I don't understand this. 311 00:23:31,469 --> 00:23:32,439 It's free to use. 312 00:23:33,010 --> 00:23:36,479 You can use, you can upload 10 hours worth of videos and get 100 clips. 313 00:23:36,989 --> 00:23:39,680 So if you have any videos created whatsoever. 314 00:23:39,689 --> 00:23:41,599 This thing, it's amazing, man. 315 00:23:41,609 --> 00:23:42,339 It's amazing. 316 00:23:42,349 --> 00:23:44,859 I'm just like, so you guys using it? 317 00:23:44,959 --> 00:23:45,199 Yeah. 318 00:23:45,209 --> 00:23:47,319 So I found this 1 72 hours ago. 319 00:23:47,349 --> 00:23:49,069 I actually found this one through one of the newsletters. 320 00:23:49,079 --> 00:23:54,439 So I sent it to my marketing team and I was like, hey, fellas, this is what we're doing now because my team is doing all this crap by hand. 321 00:23:54,900 --> 00:23:55,369 Yeah. 322 00:23:55,589 --> 00:23:56,270 Oh, totally. 323 00:23:56,280 --> 00:24:00,250 We just hired a new, we just hired a new guy to do exactly this. 324 00:24:00,930 --> 00:24:04,040 I love how they say Alex from Mo style videos. 325 00:24:04,050 --> 00:24:05,949 I know he's become a verb, dude. 326 00:24:05,959 --> 00:24:07,569 That guy, he's so smart. 327 00:24:07,800 --> 00:24:10,130 We should probably have him on the show at some point in time. 328 00:24:10,140 --> 00:24:14,510 I don't know if we can get past podcast guesting. 329 00:24:14,810 --> 00:24:17,650 Although I did hang out at a suite at traffic and conversion. 330 00:24:18,550 --> 00:24:20,130 Anyway, that's neither here nor there. 331 00:24:20,140 --> 00:24:23,170 But yeah, he's definitely more than Alex is Layla her. 332 00:24:24,750 --> 00:24:27,839 I follow her on Instagram and man, she's, she's sharp. 333 00:24:27,930 --> 00:24:28,599 Yeah. 334 00:24:28,609 --> 00:24:30,119 Yeah, she's super sharp. 335 00:24:30,130 --> 00:24:32,209 I don't know her stuff as well as I know Alex is. 336 00:24:32,219 --> 00:24:35,800 But I mean, that book when it came out was just sort of transformative. 337 00:24:35,810 --> 00:24:39,869 I think we did an entire show on 100 million, 100 million dollars. 338 00:24:39,880 --> 00:24:42,040 I know we've mentioned it a bunch of times. 339 00:24:42,250 --> 00:24:47,520 You know, it's funny, Jason said that his book started selling more after that book came out because Alex mentions him. 340 00:24:48,599 --> 00:24:50,300 That's, that's one of Moses's powers. 341 00:24:50,310 --> 00:24:52,160 He went and made Jason a best seller again. 342 00:24:52,810 --> 00:24:54,300 Yeah, that's pretty cool. 343 00:24:54,310 --> 00:25:03,199 He speaks glowingly about Jason in that book, which is so cool when he was really first starting too and he had like no idea what the hell he was doing, which makes it even cooler. 344 00:25:03,209 --> 00:25:05,239 So this is quite the tool. 345 00:25:05,250 --> 00:25:06,920 I've just sent this off. 346 00:25:06,930 --> 00:25:08,660 To my marketing team. 347 00:25:09,079 --> 00:25:13,599 So continue any uh further ones that you have here. 348 00:25:13,609 --> 00:25:15,680 I see a lot of other tabs here. 349 00:25:16,099 --> 00:25:17,430 No, this is my last one. 350 00:25:17,439 --> 00:25:20,510 The other tabs are just me opening things as we're talking about them. 351 00:25:20,520 --> 00:25:23,520 It's uh speak A I dot Co. 352 00:25:23,530 --> 00:25:24,430 Oh no, no, no. 353 00:25:24,439 --> 00:25:25,469 This is my second last one. 354 00:25:25,479 --> 00:25:27,750 I've got one more after this one more after this dude. 355 00:25:27,760 --> 00:25:29,969 This one is mind blowing. 356 00:25:29,979 --> 00:25:36,839 You give it data and it visualizes that data for you. 357 00:25:37,000 --> 00:25:47,729 So for example, you upload all your Amazon reviews and it comes up with data visualization showing you like the common denominators. 358 00:25:47,739 --> 00:26:04,694 The things that are most mentioned most most often the peaks in the valleys, any language data that you have transcriptions from videos, you give it the data and then it comes back and it gives you information and findings on that data that you wouldn't necessarily have seen otherwise. 359 00:26:05,415 --> 00:26:08,895 Uh for example, word clouds heat maps total charts. 360 00:26:08,905 --> 00:26:22,829 What's interesting about it man is it's kind of hard to explain to people how to use because it's for everything, go upload any video transcript in here or go upload and it has a bunch of product examples, competitor analysis. 361 00:26:22,839 --> 00:26:29,339 For instance, it takes takes massive amounts of data and it makes that data actionable. 362 00:26:29,510 --> 00:26:33,739 And it does it by finding like where are the patterns where the connections, where are the common denominators? 363 00:26:33,890 --> 00:26:42,510 And then it does and then it visualizes the data too, which I found really, really, really helpful data visualization for me, especially because, you know, I, I'm a data nerd and I run a data driven agency. 364 00:26:42,869 --> 00:26:49,609 Data visualization is the only time I can ever get my customers to understand what we're talking about, I can show you the charts. 365 00:26:49,619 --> 00:26:50,670 But that doesn't help. 366 00:26:50,680 --> 00:26:57,260 Once I show you the infographic, it's like, oh and that's something that this does I think really well, it's pretty cool. 367 00:26:57,270 --> 00:27:03,270 So you could like upload an Excel spreadsheet or something like that and it will mostly text. 368 00:27:03,280 --> 00:27:04,800 It's like blocks of text. 369 00:27:04,810 --> 00:27:05,060 Yeah. 370 00:27:05,069 --> 00:27:06,535 Feels like it could be. 371 00:27:06,545 --> 00:27:08,155 And I, I haven't used it a ton. 372 00:27:08,165 --> 00:27:12,535 That's the bad part about listening to a guy like me is I'm surface level with everything at this point. 373 00:27:12,964 --> 00:27:21,255 I haven't done deep, deep, deep dives on, but this is one of the ones that I'm definitely gonna but like Twitter sentiment analysis, you know, that's definitely something that I want to use. 374 00:27:21,385 --> 00:27:22,435 So I don't know, man. 375 00:27:22,444 --> 00:27:23,755 I think that is really cool. 376 00:27:23,765 --> 00:27:44,239 And then the very last one that I want to mention you mentioned in our last episode, but it's Zai Zai has a chat GP T integration which Ralph, if you think about the implications of that, anything that you do, you can run through chat GP T and I'll give you an example that I'm playing with right now for myself. 377 00:27:44,250 --> 00:27:47,949 Currently, we send out monthly reports to our clients, they come from data studio. 378 00:27:47,959 --> 00:27:49,780 So the data studio report is generated. 379 00:27:49,790 --> 00:27:59,880 Air table sends the client manager an alert saying, hey, data studio is ready and then the client manager goes through data studio summarizes the report and then prepares an email to send to the client. 380 00:27:59,939 --> 00:28:08,770 What I wanna do and I haven't done this yet because I'm having some issues getting the data studio report in a format that the chat GP T integration likes. 381 00:28:08,930 --> 00:28:17,959 But once I can put it in a format that it can see I wanna send via Zapp, send chat GP T the data studio link, if not the link. 382 00:28:17,969 --> 00:28:20,160 And that's the problem that I'm having this summary. 383 00:28:20,479 --> 00:28:33,849 The information I should say the raw data have chat GP T summarize the raw data into an email to our client with interpretation insights, action items based off of our lexicon of knowledge. 384 00:28:33,859 --> 00:28:37,380 Turn that into an email that goes to the client manager to review a proven send. 385 00:28:37,530 --> 00:28:40,390 And this is one of the bigger tasks that our client managers have. 386 00:28:40,400 --> 00:28:42,050 Like it's hard to go through this data. 387 00:28:42,060 --> 00:28:47,500 Look at everything, prepare it to the last month's data, look forward, prepare to the client's goals. 388 00:28:47,599 --> 00:28:50,920 And I think I can automate that entire process. 389 00:28:50,979 --> 00:28:55,459 70% using chat GP T drop it on the client managers. 390 00:28:55,469 --> 00:28:58,560 So now all they're doing is like the real hard work like the actual confirmation. 391 00:28:58,569 --> 00:29:00,810 But saving on the time of the grunt work. 392 00:29:00,819 --> 00:29:02,469 That's one example of 100 trillion. 393 00:29:02,810 --> 00:29:14,280 You can put anything that has a ZAP integration, you can filter it through chat G BT and bro, the, the implications of that are like it's insane. 394 00:29:15,040 --> 00:29:15,930 It's overwhelming. 395 00:29:17,089 --> 00:29:21,339 Well, I think in the last episode we bumped up Zap here just enough. 396 00:29:21,510 --> 00:29:26,650 But now this makes it even more potentially powerful people. 397 00:29:26,660 --> 00:29:33,089 Dude, Zaire plus chat GP T, I mean, you could build entire businesses off of just that. 398 00:29:33,500 --> 00:29:35,739 So let's do it, let's do it. 399 00:29:35,750 --> 00:29:39,069 Yeah, I'm working on this right now with my E A. Actually, I have some ideas, Ralph. 400 00:29:39,079 --> 00:29:40,310 I'm not gonna share them on the show. 401 00:29:40,319 --> 00:29:41,180 I'm sorry. 402 00:29:41,609 --> 00:29:44,369 And some proprietary ideas for the paid podcast. 403 00:29:44,380 --> 00:29:45,109 That's right. 404 00:29:45,770 --> 00:29:46,920 That's quite a list. 405 00:29:47,469 --> 00:29:48,849 That's a pretty good list. 406 00:29:48,859 --> 00:29:51,339 There's more we are distilling. 407 00:29:51,349 --> 00:29:53,890 We are distilling it down to its essential elements though. 408 00:29:54,459 --> 00:30:02,670 Like, remember, man, not everybody wants to go out and test every known tool to mankind, but we've got some newsletter recommendations. 409 00:30:02,680 --> 00:30:05,770 We've got some actual tools and like I said, I'll leave links in the show notes. 410 00:30:05,780 --> 00:30:08,369 I don't think any of these have affiliate programs at this point. 411 00:30:08,410 --> 00:30:10,329 Some of them are free, some of them are paid. 412 00:30:10,489 --> 00:30:14,619 So you gotta weigh a little of that uh on both sides of the equation. 413 00:30:15,719 --> 00:30:16,400 Yeah. 414 00:30:16,790 --> 00:30:22,729 Synthia dot I O opus dot pro especially dude that opus one is cool. 415 00:30:22,739 --> 00:30:24,339 That is crazy. 416 00:30:24,349 --> 00:30:24,949 Cool. 417 00:30:24,959 --> 00:30:26,479 And then duck ays dot com. 418 00:30:26,489 --> 00:30:28,900 I'm gonna start using that like this week. 419 00:30:28,910 --> 00:30:31,900 Like I have another contract I'm supposed to review later today. 420 00:30:32,579 --> 00:30:33,209 Absolutely. 421 00:30:33,219 --> 00:30:34,229 Very, very cool. 422 00:30:34,239 --> 00:30:40,060 Like I said, we're gonna leave all this in the show notes over at perpetual traffic dot com. 423 00:30:40,089 --> 00:30:46,170 Make sure that you tell us what we can do better over at perpetual traffic dot com forward slash better. 424 00:30:46,810 --> 00:30:55,420 And my sense is that you're probably releasing new and interesting things in the A I front over on your Twitter's feeds over there at Cosm Aslam. 425 00:30:55,430 --> 00:31:01,979 So definitely follow that, follow me over on linkedin, go back and listen to previous episodes as per usual. 426 00:31:01,989 --> 00:31:06,339 Like I said, all resources and show notes are gonna be at perpetual traffic dot com. 427 00:31:06,939 --> 00:31:10,380 Today's A I episode was brought to you by Kasim Aslam. 428 00:31:14,099 --> 00:31:17,719 So on behalf of my awesome co-host, I'm gonna pronounce it correctly. 429 00:31:18,739 --> 00:31:26,890 Who until next show, see you, you've been listening to perpetual traffic.