WEBVTT - EYL #309 Artificial Intelligence Explained: How to Make Money with AI & Use It to Improve Your Life ft X Eyeé 0:00:01.240 --> 0:00:02.000 Earners. What's up. 0:00:02.080 --> 0:00:04.560 You ever walk into a small business and everything just 0:00:04.720 --> 0:00:07.880 works like The checkout is fast, the receipts are digital, 0:00:08.400 --> 0:00:11.399 tipping is a breeze, and you're out the door before 0:00:11.400 --> 0:00:15.560 the line even builds. Odds are they're using Square. We 0:00:15.720 --> 0:00:18.280 love supporting businesses that run on Square because it just 0:00:18.280 --> 0:00:21.520 feels seamless. Whether it's a local coffee shop, a vendor 0:00:21.560 --> 0:00:23.840 at a pop up market, or even one of our 0:00:23.880 --> 0:00:27.560 merch partners, Square makes it easy for them to take payments, 0:00:27.760 --> 0:00:31.480 manage inventory, and run their business with confidence, all from 0:00:31.600 --> 0:00:35.000 one simple system. 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This episode is brought to you 0:01:11.040 --> 0:01:13.320 by P and C Bank, a lot of people think 0:01:13.360 --> 0:01:17.240 podcasts about work are boring, and sure they definitely can be, 0:01:17.760 --> 0:01:21.000 but understanding of professionals routine shows us how they achieve 0:01:21.080 --> 0:01:25.280 their success little by little, day after day. It's like 0:01:25.360 --> 0:01:28.160 banking with P and C Bank. It might seem boring 0:01:28.160 --> 0:01:31.080 to save, plan and make calculated decisions with your bank, 0:01:31.440 --> 0:01:33.920 but keeping your money boring is what helps you live 0:01:34.080 --> 0:01:38.080 or more happily fulfilled life. P and C Bank Brilliantly 0:01:38.160 --> 0:01:42.720 Boring since eighteen sixty five. Brilliantly Boring since eighteen sixty 0:01:42.720 --> 0:01:46.000 five is a service mark of the PNC Financial Service Group, Inc. 0:01:46.480 --> 0:01:49.840 P and C Bank National Association Member FDIC. 0:01:53.680 --> 0:01:58.160 All right, yeah, yes, welcome back, ladies and gentlemen. 0:01:58.440 --> 0:02:02.160 Eyl, Happy Thursday, Happy Thursday, thursdow Man. 0:02:02.240 --> 0:02:07.200 This is round two of our new series that we 0:02:07.240 --> 0:02:14.320 are trying out is educational live streams, Live in the Flesh. 0:02:14.400 --> 0:02:16.840 We last week we did real estate. 0:02:16.919 --> 0:02:17.519 Yes we did. 0:02:17.560 --> 0:02:20.680 We had a anazing conversation. Shout out at MG Shout 0:02:20.720 --> 0:02:23.240 to everybody that was in the chat that got to 0:02:23.320 --> 0:02:26.360 witness that live and other people that watched it the 0:02:26.440 --> 0:02:28.919 day after or even leading up to this event. So 0:02:29.440 --> 0:02:32.919 it was an incredible one packed with information. I think 0:02:33.000 --> 0:02:34.320 tonight is gonna be one of those nights. 0:02:34.360 --> 0:02:36.480 So, yeah, it's gonna be one of those nice so tonight. 0:02:36.520 --> 0:02:38.160 You know, it's one of these things that a lot 0:02:38.200 --> 0:02:39.919 of people have been asking for for a long time 0:02:39.960 --> 0:02:47.280 as far as artificial intelligence. And you know, we talked 0:02:47.280 --> 0:02:50.560 about it a variety of different times on Market, Mondays, 0:02:50.560 --> 0:02:52.920 even on EYL, but I think we had like a 0:02:52.960 --> 0:02:58.960 thorough breakdown on what AI actually is from a very 0:02:59.040 --> 0:03:03.920 easy to understand respective but more more importantly, how to 0:03:04.080 --> 0:03:09.840 actually utilize AI for your own personal benefit as far 0:03:09.919 --> 0:03:13.680 as your life, how to make money in your business, 0:03:13.760 --> 0:03:16.200 how to you know, just be more efficient. 0:03:16.760 --> 0:03:17.440 That's important. 0:03:17.760 --> 0:03:19.600 A lot of time people talk about the negative size 0:03:19.639 --> 0:03:23.240 of artificial intelligence, but obviously there's a lot of positive 0:03:23.280 --> 0:03:28.200 things that you can do. So I think that this 0:03:28.400 --> 0:03:33.440 is something that's obviously going to be very finally, considering 0:03:33.600 --> 0:03:36.800 the times that we're in, this. 0:03:36.800 --> 0:03:40.280 Is the talk of every room, every time we walk 0:03:40.280 --> 0:03:42.200 into a room, and I think it's fitting, you know, 0:03:42.480 --> 0:03:43.920 every time we meet somebody. 0:03:44.400 --> 0:03:46.640 The awareness on AI it varies. 0:03:46.680 --> 0:03:49.160 Some people have heard of it, don't really know, some 0:03:49.240 --> 0:03:51.400 people kind of have heard of it, some people are 0:03:51.480 --> 0:03:54.600 using it, some people don't even know what GBT stands for. 0:03:55.240 --> 0:03:57.880 And so we've talked about it, like you said numerous 0:03:57.920 --> 0:03:59.720 times about how we're using it, right, like you talk 0:03:59.720 --> 0:04:02.640 about how you're using chat GBT nearly on a daily basis. 0:04:02.680 --> 0:04:04.960 I know Ian sung about how it's made him an 0:04:05.040 --> 0:04:08.280 even more efficient CEO for him. I've talked about how 0:04:08.320 --> 0:04:10.960 I've been using it to help me when I'm investing, 0:04:11.640 --> 0:04:14.720 but like people still haven't been saying, I've been using it, 0:04:14.840 --> 0:04:17.080 Here's how I'm using it. So today hopefully we will 0:04:17.200 --> 0:04:19.920 unpack some information so that the next time we run 0:04:19.960 --> 0:04:22.840 into some people have conversations like I watched that and 0:04:22.880 --> 0:04:23.800 this is how I'm using it. 0:04:24.080 --> 0:04:24.679 That's the fact. 0:04:25.520 --> 0:04:31.480 And we got an expert in the field, X, who 0:04:31.600 --> 0:04:37.120 we got connected with through Van Jones and spoke at 0:04:37.120 --> 0:04:41.920 Investmentest and X got one of the best receptions from 0:04:41.960 --> 0:04:44.880 anybody that spoke at invest Fest, which is speaks a 0:04:44.920 --> 0:04:48.200 lot because obviously there's a lot of true, very highly 0:04:48.240 --> 0:04:53.520 regarded people at invest Fest. So without further ado, let's 0:04:53.640 --> 0:04:57.960 let's bring X up and let's let's get this going. 0:05:00.120 --> 0:05:03.320 Hey, Hey, what's going on? Evening man? 0:05:03.600 --> 0:05:05.599 Even it's a pleasure to be here pleasure to be 0:05:05.640 --> 0:05:06.680 back on this stage. 0:05:08.560 --> 0:05:09.320 Pleasure to have you. 0:05:10.000 --> 0:05:12.279 It's an absolute honor to have you. And like you said, 0:05:12.920 --> 0:05:14.320 it's very rare. I think this might have been the 0:05:14.320 --> 0:05:17.520 first time. As somebody was speaking on stage, our phones 0:05:17.560 --> 0:05:20.359 started blowing up, like, who is this person? Who is 0:05:20.400 --> 0:05:23.400 this woman? She is killing it? I need to meet 0:05:23.440 --> 0:05:24.920 her as soon as she gets off the stage. That 0:05:25.000 --> 0:05:27.200 must have happened four or five times in my phone. 0:05:27.279 --> 0:05:29.320 I'm sure it happened in his phone as well. I 0:05:29.400 --> 0:05:32.600 was watching. I'm like, oh, oh, oh, this is incredible, 0:05:32.640 --> 0:05:35.440 So congrat you. It's an honor to have you here tonight. 0:05:35.520 --> 0:05:36.760 Everybody's in for a tree. 0:05:37.240 --> 0:05:39.080 Yeah. Man, it's an honor to be here. I feel 0:05:39.120 --> 0:05:41.719 like as someone who's been in AI for you know, 0:05:41.839 --> 0:05:44.719 almost twelve years now, this stuff comes like second nature 0:05:44.760 --> 0:05:46.760 to me. But as it starts to go from AI 0:05:46.880 --> 0:05:49.599 being behind the scenes to AI in our face, it's 0:05:49.640 --> 0:05:52.600 critical that folks like me who understand this stuff come 0:05:52.640 --> 0:05:55.120 back and give that game to our communities in a 0:05:55.160 --> 0:05:58.520 way that's accessible but also you know, accessible from an 0:05:58.520 --> 0:06:02.240 information standpoint, but also accessible from a cost standpoint. Right, 0:06:02.560 --> 0:06:05.360 there's a lot of folks out there who will put 0:06:05.360 --> 0:06:08.320 this knowledge behind money and may not have the same quality. 0:06:08.320 --> 0:06:10.320 There's no guarantee. So it's an honor to be able 0:06:10.360 --> 0:06:13.560 to be on EILS platform to put our people on 0:06:13.640 --> 0:06:14.960 game ultimately. 0:06:15.360 --> 0:06:19.159 And not let's get it. And you are award winning 0:06:19.200 --> 0:06:22.000 AI expert. You know, you worked in AI policy at 0:06:22.279 --> 0:06:26.080 UC Berkeley, worked with some companies that you might have 0:06:26.120 --> 0:06:30.200 heard of, like Google and Microsoft's Real and variety of 0:06:30.200 --> 0:06:33.599 other things. So you are actually qualified to speak on this. 0:06:33.680 --> 0:06:36.120 You're not just somebody that we just randomly picked off 0:06:36.120 --> 0:06:37.280 the street, right. 0:06:37.760 --> 0:06:38.919 Nah, definitely not. 0:06:39.040 --> 0:06:39.400 I mean. 0:06:42.800 --> 0:06:46.119 I've been an engineer, like an actual software engineer for 0:06:46.360 --> 0:06:48.760 you know, almost twenty years now, but I've been specializing 0:06:48.760 --> 0:06:51.520 in AI for the past twelve. I'm not only like 0:06:51.760 --> 0:06:54.960 someone who worked in industry. When I was at Microsoft 0:06:55.040 --> 0:06:58.040 building AI, bringing it to big companies like at Google, 0:06:58.040 --> 0:07:01.840 I worked across all their algorithms, helping to identify when 0:07:01.880 --> 0:07:05.280 they were being biased or sexist or racist or messed 0:07:05.360 --> 0:07:07.840 up towards our communities and coming up with fixes for that. 0:07:08.160 --> 0:07:10.440 I created two research teams on my own. One of 0:07:10.480 --> 0:07:13.200 them was around teaching AI how to measure who is 0:07:13.200 --> 0:07:15.960 and isn't represented in content, so like how much is 0:07:16.000 --> 0:07:19.280 someone who's more masculine presenting on screen versus someone who's 0:07:19.320 --> 0:07:22.480 more feminine, and how much are they seeing versus speaking? Right, 0:07:22.520 --> 0:07:25.400 So we would use that to like do diversity studies 0:07:25.400 --> 0:07:27.760 of all of Google advertising, and we made those tools 0:07:27.800 --> 0:07:31.080 available to like third party partners also created the skin 0:07:31.120 --> 0:07:33.800 tone Research team at Google, which literally taught AI how 0:07:33.840 --> 0:07:36.200 to see black and brown skin tones. So myself is 0:07:36.240 --> 0:07:38.320 someone who is a high school dropout, a two time 0:07:38.360 --> 0:07:41.560 college dropout. I'm a published researcher in this space. I've 0:07:41.600 --> 0:07:44.480 created tools that now you know, major companies all over 0:07:44.520 --> 0:07:48.280 the world, you specifically in AI. So I definitely hope 0:07:48.320 --> 0:07:49.960 I know what I'm talking about. I know I don't 0:07:49.960 --> 0:07:51.920 know everything, but I know I know what I'm talking about. 0:07:52.480 --> 0:07:53.200 That's a fact. 0:07:53.280 --> 0:07:57.400 So all right, let's get into this YouTube. 0:07:58.600 --> 0:08:03.320 Like and share, please please do to everyone I check in. 0:08:03.400 --> 0:08:05.680 Let's run this ub. This is very very important information. 0:08:05.840 --> 0:08:08.440 So okay, we're gonna we're gonna get right to it. 0:08:10.920 --> 0:08:12.720 We want to talk about like actual items and stuff 0:08:12.720 --> 0:08:14.880 like that. But before, let's just spend a couple of 0:08:14.920 --> 0:08:17.160 minutes just to kind of break down that you've been 0:08:17.160 --> 0:08:20.200 working in AI for years, So tell us you know, 0:08:20.480 --> 0:08:23.880 kind of give us the framework of artificial intelligence so 0:08:23.920 --> 0:08:27.120 we can have an understanding before we go into actually 0:08:27.120 --> 0:08:29.000 how to utilize it and make money from it. 0:08:29.680 --> 0:08:32.040 All right, let's get into it. So can you guys 0:08:32.040 --> 0:08:32.960 see my screen here? 0:08:36.640 --> 0:08:38.200 Now? They can? They can see it now. 0:08:39.080 --> 0:08:40.720 I don't need y'all to see all of that that 0:08:40.800 --> 0:08:44.520 looks like Schrodinger's cat. This is a you know, a 0:08:44.600 --> 0:08:47.760 conversation that I think is super important, and it's one 0:08:47.800 --> 0:08:49.360 that I have with my clients day to day. And 0:08:49.440 --> 0:08:52.000 I work with like big companies like Loril and Mozilla, 0:08:52.320 --> 0:08:54.120 And it's kind of like what Van Jones said on 0:08:54.160 --> 0:08:57.720 stage and investments. It's like nobody really understands this stuff, right, 0:08:57.960 --> 0:09:01.400 So you might hear like AI, deep learning, machine learning, 0:09:01.520 --> 0:09:04.840 and the large language models, all these different terms to 0:09:04.880 --> 0:09:06.959 talk about AI. So I want to start off by 0:09:07.000 --> 0:09:09.719 making and giving y'all my framework for how to think 0:09:09.760 --> 0:09:13.680 about what artificial intelligence is. So first, AI is not 0:09:14.000 --> 0:09:16.920 just one thing, right, just like when you think of 0:09:16.920 --> 0:09:20.240 the word car, car is not one thing. You can 0:09:20.320 --> 0:09:22.200 have a two door car, you could have a four 0:09:22.280 --> 0:09:24.600 door car, you could have a sports car, you could 0:09:24.640 --> 0:09:27.040 have a truck. And even though there are all these 0:09:27.240 --> 0:09:29.800 you know, different types of cars, like whether they're electric 0:09:29.880 --> 0:09:32.920 or whether they're gas. Even though they literally end up 0:09:32.960 --> 0:09:36.040 different in the way that they look, all cars pretty 0:09:36.120 --> 0:09:38.120 much do the same thing, which is that they get 0:09:38.160 --> 0:09:41.160 you from point A to point B faster than you 0:09:41.200 --> 0:09:43.719 would get there if you were walking right, unless you're 0:09:43.720 --> 0:09:48.920 in LA traffic at for it. Similarly, artificial intelligence covers 0:09:48.960 --> 0:09:52.640 a whole bunch of different tools and technology across different disciplines. 0:09:52.960 --> 0:09:55.640 It touches tools that are being built in computer science 0:09:55.679 --> 0:10:00.600 and mathematics and electrical engineering and mechanical engineering. All AI 0:10:01.000 --> 0:10:05.120 aims to do pretty much the same thing. Artificial intelligence 0:10:05.320 --> 0:10:09.040 is trying to teach machines how to think and act 0:10:09.400 --> 0:10:12.600 like humans. So all those different technologies and all those 0:10:12.640 --> 0:10:15.920 different disciplines are just trying to teach machines how to 0:10:15.960 --> 0:10:18.920 think and act like humans. Well, what does it mean 0:10:18.960 --> 0:10:21.679 to think and act like a human? Well, humans have 0:10:21.720 --> 0:10:25.040 five senses. We have hearing, we have sight, we have touched, 0:10:25.160 --> 0:10:28.760 we have smell, and we have taste. And artificial intelligence 0:10:29.040 --> 0:10:33.040 kind of has five domains. So teaching an AI, teaching 0:10:33.040 --> 0:10:36.280 a machine how to hear and how to speak is 0:10:36.320 --> 0:10:40.200 called natural language processing. That's what's behind tools like SyRI 0:10:40.280 --> 0:10:42.560 inside of your phone. When you talk to her and 0:10:42.600 --> 0:10:44.959 she writes the text down, that's called text to speech. 0:10:45.320 --> 0:10:47.480 Then when she understands what you just said to her, 0:10:47.559 --> 0:10:50.720 that's called natural language understanding. Then when she comes up 0:10:50.760 --> 0:10:53.760 with a response to you, that's called natural language generation. 0:10:54.120 --> 0:10:56.440 And then when she reads that response back I aloud 0:10:56.440 --> 0:10:59.560 to you, that's called text to speech right where she 0:10:59.600 --> 0:11:02.720 reads it out loud to you. So NLP, or natural 0:11:02.800 --> 0:11:05.880 language processing, is teaching machines how to hear and how 0:11:05.880 --> 0:11:09.679 to speak. Teaching machines how to see is called computer vision. 0:11:09.920 --> 0:11:12.040 So if you have a ring camera in your house 0:11:12.120 --> 0:11:15.360 and it's like, oh, person detected or animal detected, that's 0:11:15.520 --> 0:11:18.920 using computer vision. That's also behind stuff like face ID 0:11:19.000 --> 0:11:21.520 inside of your phone. When you go to the airport 0:11:21.600 --> 0:11:24.000 and TSA asks you to stand there and it checks 0:11:24.000 --> 0:11:26.560 the picture of your face. All of that stuff is 0:11:26.600 --> 0:11:31.800 computer vision. Teaching a machine how to touch is called haptics. Now, 0:11:31.800 --> 0:11:34.720 this is a field that you mostly see in robotics, 0:11:34.760 --> 0:11:38.320 where they're doing things like creating artificial skin that's as 0:11:38.360 --> 0:11:41.719 sensitive as human skin. Now why would they need that? Well, 0:11:41.760 --> 0:11:43.760 think about it. If you have like a robot and 0:11:43.800 --> 0:11:46.320 an Amazon factory. You want it to be able to 0:11:46.400 --> 0:11:49.360 understand things like pressure and weight, so that when it 0:11:49.400 --> 0:11:52.000 picks up whatever you ordered off an Amazon that might 0:11:52.040 --> 0:11:54.680 be fragile, it doesn't pick it up and like shake 0:11:54.720 --> 0:11:57.320 it around and mishandle it. Right. So they need that 0:11:57.480 --> 0:12:00.040 artificial skin to be able to teach robots how to 0:12:00.120 --> 0:12:03.640 understand what it is that they're physically touching and grabbing. 0:12:04.240 --> 0:12:07.080 Then teaching machines how to smell is a pretty new field. 0:12:07.120 --> 0:12:10.280 It's called machine oh factory. Now, I'm not gonna lie. 0:12:10.360 --> 0:12:12.800 I don't really like this field because in order to 0:12:12.880 --> 0:12:15.959 teach the algorithm what a smell is, you got to 0:12:16.040 --> 0:12:19.000 use like somebody's nose as an example. And I don't 0:12:19.000 --> 0:12:21.960 know about y'all, but some people out of the colognes 0:12:21.960 --> 0:12:24.280 they be picking the perfuelings, they be picking like I 0:12:24.280 --> 0:12:28.000 don't trust everybody's nose, right, And so machine ol factory 0:12:28.040 --> 0:12:31.160 is a newer field. We've seen like maybe ten twenty 0:12:31.200 --> 0:12:34.040 research papers in this space altogether, where they're trying to 0:12:34.080 --> 0:12:36.760 do stuff like come up with new perfume smells or 0:12:36.840 --> 0:12:40.559 like detect smoke from a smell, et cetera. And then 0:12:40.600 --> 0:12:43.880 teaching machines how to taste doesn't actually have a fancy name, 0:12:43.920 --> 0:12:46.200 but it has the same problem of kind of like 0:12:46.240 --> 0:12:48.520 teaching a machine how to smell, Like, I'm not eating 0:12:48.559 --> 0:12:51.520 at everybody's house, So whose taste buds are you using 0:12:51.840 --> 0:12:54.959 as the example to like teach these machines how to taste? 0:12:54.960 --> 0:12:58.280 You feel me definitely got you there, So that the 0:12:58.320 --> 0:13:00.760 five sensors in the five domain makes a lot of 0:13:00.760 --> 0:13:03.920 sense when people start hearing these things like computer vision. 0:13:04.760 --> 0:13:07.320 Definitely that the smell and the taste, it is subjective. 0:13:08.400 --> 0:13:11.000 It starts to lead to uncertainty. And one of the 0:13:11.040 --> 0:13:14.240 things with human nature is that we don't like uncertainty, 0:13:14.280 --> 0:13:18.280 which then leads to fear. So how can people become 0:13:18.400 --> 0:13:21.200 less fearful when they when they hear about AI and 0:13:21.600 --> 0:13:23.000 very broken down? How you just did it? 0:13:23.920 --> 0:13:25.800 So I feel like a lot of the fear is 0:13:25.840 --> 0:13:28.960 based on the unknown. Like the human brain generally is 0:13:29.120 --> 0:13:32.959 wired to protect you from danger, right, Like the amygdala, 0:13:33.040 --> 0:13:35.160 which we call the fight or flight part of the brain, 0:13:35.720 --> 0:13:38.360 is literally the oldest part of the brain and it's 0:13:38.400 --> 0:13:40.960 the only part of the brain that can hijack the rest. 0:13:41.240 --> 0:13:43.200 So if you ever had like a panic attack, that's 0:13:43.240 --> 0:13:46.560 literally your amygdala hijacking in your brain and shutting down 0:13:46.679 --> 0:13:48.960 all the other different functions in your brain because it 0:13:49.000 --> 0:13:52.160 literally thinks that you're dying. And so a huge part 0:13:52.200 --> 0:13:55.439 of overcoming fear to AI is learning about it, doing 0:13:55.480 --> 0:13:59.520 things like sitting in this class, taking notes, understanding what 0:13:59.559 --> 0:14:03.320 the difference between NLP and computer vision, so that you're 0:14:03.360 --> 0:14:07.520 able to not feel like because you don't understand it, 0:14:07.880 --> 0:14:10.360 that it instantly means that it's going to be negative 0:14:10.440 --> 0:14:13.440 against you. Now, there are real challenges with AI, with 0:14:13.679 --> 0:14:16.560 which we'll probably get into later. But even then, the 0:14:16.600 --> 0:14:19.680 problems inside of these AI systems, with things like bias 0:14:20.160 --> 0:14:24.120 or things like them coming for you know, jobs that 0:14:24.200 --> 0:14:27.120 particularly affect our communities, A lot of that stuff can 0:14:27.200 --> 0:14:29.720 be solved if we step up in other areas, like 0:14:29.760 --> 0:14:32.280 in policy, or if we step up in terms of 0:14:32.360 --> 0:14:34.640 like regulation, or if we step up in terms of 0:14:34.680 --> 0:14:37.920 building and designing our own systems. And so even the 0:14:37.960 --> 0:14:40.680 stuff out there that is actually proven to be scary 0:14:40.760 --> 0:14:43.960 or dangerous to our communities, there are solutions out there 0:14:44.000 --> 0:14:47.040 that require all of us coming together and putting into play. 0:14:48.120 --> 0:14:52.280 Okay, all right, so I know we have the next step, 0:14:52.320 --> 0:14:54.720 which we're going to talk about how to utilize it 0:14:54.760 --> 0:14:56.600 in business, anything you need you want to talk about 0:14:56.640 --> 0:14:58.640 before that before we go to the business Ope. 0:14:59.080 --> 0:15:01.320 Yeah, So before we jump into the business side, I 0:15:01.400 --> 0:15:04.160 want to give a little bit more context about, you know, 0:15:04.520 --> 0:15:06.680 how you teach a machine to think and act like 0:15:06.680 --> 0:15:09.680 a human. So we know that AI is this group 0:15:09.720 --> 0:15:12.040 of technologies that are trying to do that using this 0:15:12.160 --> 0:15:18.360 five Census example. Now, generative AI specifically is attempting to 0:15:18.400 --> 0:15:21.280 teach AI teach machines how to think and act like 0:15:21.320 --> 0:15:24.280 the human imagination. Like, if I ask everybody on a 0:15:24.360 --> 0:15:27.600 chat right now to imagine a car, you would come 0:15:27.680 --> 0:15:29.080 up with an image in your head of a car. 0:15:29.280 --> 0:15:31.320 Some of you guys would imagine a two door car, 0:15:31.400 --> 0:15:33.920 a four door car, a sports car. Some of y'all 0:15:34.000 --> 0:15:36.800 might even imagine a semi truck. Now, what I did 0:15:36.880 --> 0:15:39.680 is I just prompted you to create something from the 0:15:39.680 --> 0:15:42.640 prompt that I gave you. You're using your human imagination to 0:15:42.720 --> 0:15:45.760 create something from an idea of it. And so generative 0:15:45.800 --> 0:15:48.400 AI is teaching machines how to think and act more 0:15:48.400 --> 0:15:51.160 along the lines of a human imagination. And I'm gonna 0:15:51.160 --> 0:15:53.960 get a little bit technical just so you guys understand 0:15:54.320 --> 0:15:57.600 some of the differences between the techniques used to build 0:15:57.680 --> 0:16:01.200 AI and AI itself. So how do you teach a 0:16:01.240 --> 0:16:03.720 machine how to think and act like a human? Well, 0:16:03.760 --> 0:16:06.520 that's where the term machine learning comes in. You've probably 0:16:06.560 --> 0:16:09.600 heard this a lot. Machine learning is the most popular 0:16:09.680 --> 0:16:12.480 way that people teach machines how to think and act 0:16:12.520 --> 0:16:14.600 like humans, but it's not the only way or the 0:16:14.680 --> 0:16:17.840 only method. And machine learning is when you teach a machine, 0:16:17.880 --> 0:16:20.880 which they call training, how to complete a task by 0:16:20.880 --> 0:16:23.880 giving it examples which they call training data of that 0:16:24.080 --> 0:16:27.320 task so that it can learn and improve itself on 0:16:27.400 --> 0:16:30.120 how to do that task right. So, for example, if 0:16:30.160 --> 0:16:32.880 I wanted to teach a car how to drive on 0:16:32.960 --> 0:16:36.000 the road, if it was old school coding without machine learning, 0:16:36.040 --> 0:16:38.760 I'd have to code every single step that the car 0:16:38.840 --> 0:16:42.480 needed to do well. A lot of those rules are 0:16:42.960 --> 0:16:45.000 you know, there's like millions of rules of driving, like 0:16:45.080 --> 0:16:48.240 to have the code like if your right tire gets 0:16:48.280 --> 0:16:51.000 within this many inches of the line, then move this 0:16:51.080 --> 0:16:53.920 steering will you know point two centimeters. That's a lot 0:16:53.960 --> 0:16:56.800 to learn and a lot to code. We probably wouldn't 0:16:56.800 --> 0:16:58.760 even be able to make an app that would be 0:16:58.800 --> 0:17:00.920 able to let the car I liked that it was 0:17:01.000 --> 0:17:03.920 just take too much code. So instead, with machine learning, 0:17:04.119 --> 0:17:07.600 we can take a bunch of examples of cars driving 0:17:07.640 --> 0:17:10.240 on the road. That's why Tesla's have eight cameras. They're 0:17:10.280 --> 0:17:13.880 constantly capturing that data, and then let it learn from 0:17:14.000 --> 0:17:16.800 those examples of things that it should do and things 0:17:16.800 --> 0:17:19.000 that it shouldn't do. So there are two types of 0:17:19.040 --> 0:17:22.679 machine learning. The first is called supervised machine learning, and 0:17:22.800 --> 0:17:25.360 supervised machine learning is when you teach a machine how 0:17:25.359 --> 0:17:28.439 to complete a task by giving it examples of the 0:17:28.560 --> 0:17:31.800 right answer up front. So an example of this is like, 0:17:31.960 --> 0:17:35.520 let's say I wanted to teach a computer vision algorithm 0:17:35.920 --> 0:17:39.200 to be able to tell the difference between a strawberry 0:17:39.280 --> 0:17:43.240 and avocado. Right, I would give it examples of images 0:17:43.280 --> 0:17:45.960 that I knew upfront were a strawberry. I would tell 0:17:45.960 --> 0:17:48.040 it upfront that it's a strawberry. We called it that 0:17:48.160 --> 0:17:51.000 data labeling, and then I would check it as it's 0:17:51.240 --> 0:17:54.520 learning how good it gets at telling me that's a 0:17:54.560 --> 0:17:58.240 strawberry versus telling me that's an avocado. Right. So again, 0:17:58.359 --> 0:18:01.479 supervised machine learning is already know what the right answer 0:18:01.520 --> 0:18:04.040 is up front, So I'm gonna give you these examples 0:18:04.080 --> 0:18:06.280 and then I'm gonna test you against how well you're 0:18:06.359 --> 0:18:08.359 learning how to do the task, because I already know 0:18:08.400 --> 0:18:12.080 the right answer. The second type of AI machine learning 0:18:12.200 --> 0:18:15.360 is called unsupervised machine learning, and this is when you're 0:18:15.440 --> 0:18:18.320 training a machine how to complete a task by getting 0:18:18.480 --> 0:18:22.360 given it examples, but you're letting the algorithmic self discover 0:18:22.480 --> 0:18:25.159 what the right answer is. Right, So you're giving it 0:18:25.200 --> 0:18:27.080 a whole bunch of data, and then it goes in 0:18:27.119 --> 0:18:30.720 and finds patterns across that data that it uses to 0:18:30.760 --> 0:18:33.800 give you the right answer. So, for example, a lot 0:18:33.800 --> 0:18:37.040 of AI is being used in things like drug discovery, 0:18:37.280 --> 0:18:39.280 So how can we find a new medicine to treat 0:18:39.320 --> 0:18:42.360 AIDS or to treat diabetes, or even when COVID came out, 0:18:42.600 --> 0:18:44.840 there was a whole effort between a bunch of big 0:18:44.880 --> 0:18:48.280 tech companies to figure out medicines that could be used 0:18:48.280 --> 0:18:51.320 as a vaccine. Right, So in that case, they didn't 0:18:51.359 --> 0:18:53.480 know the right answer up front, but they had a 0:18:53.480 --> 0:18:56.720 whole bunch of data and then the machine uncovered patterns 0:18:56.920 --> 0:19:00.000 that help them understand what the right answer should be. Right, 0:19:00.640 --> 0:19:02.640 all right, So then you have one more thing, which 0:19:02.680 --> 0:19:06.639 is called deep learning. So deep learning is basically without 0:19:06.680 --> 0:19:09.240 going into all the math behind it. It's a more 0:19:09.640 --> 0:19:13.840 complex way of doing machine learning when you have things 0:19:13.840 --> 0:19:16.119 that are more complicated in their patterns, and so it 0:19:16.200 --> 0:19:20.000 teaches the algorithms in a way that mimics how neurons 0:19:20.040 --> 0:19:23.159 fire in the human brain. Right, So machine learning, like 0:19:23.200 --> 0:19:25.160 if I want to tell the difference between the strawberry 0:19:25.160 --> 0:19:28.359 and an avocado, that's not a very complex task. But 0:19:28.480 --> 0:19:31.119 like teaching a plane how to fly itself, like the 0:19:31.240 --> 0:19:33.760 US Air Force just did, is going to require a 0:19:33.760 --> 0:19:37.720 lot more complex relationships and a lot more complex understanding 0:19:37.760 --> 0:19:40.560 and nuance inside of that data and the patterns and 0:19:40.600 --> 0:19:42.800 how it's supposed to do that task. So they would 0:19:42.840 --> 0:19:46.280 use something like a deep learning algorithm instead to be 0:19:46.320 --> 0:19:48.399 able to capture that. Now, I know that was a 0:19:48.400 --> 0:19:51.359 lot of information. I don't expect y'all to have this memorized. 0:19:51.400 --> 0:19:53.480 So while before we move on to the next part, 0:19:53.480 --> 0:19:56.320 I made a little TLDR slide for y'all. You know, 0:19:56.400 --> 0:19:58.640 take a moment, take a screenshot, make sure to share 0:19:58.640 --> 0:20:00.879 this with your friends that just reac perhaps what I 0:20:01.000 --> 0:20:02.639 just covered X quick question. 0:20:02.680 --> 0:20:07.920 When we're talking about GBT, which is generative pre trained transformers, 0:20:08.119 --> 0:20:10.679 most people just hear chat GBT, and that's what the 0:20:10.680 --> 0:20:14.359 acronym stands for. Is it encompassing all three? Is it 0:20:14.680 --> 0:20:18.240 encompassing supervised, unsupervised and deep learning? Because when you're talking 0:20:18.240 --> 0:20:22.280 about figuring out equations, I remember when it first was 0:20:22.320 --> 0:20:25.800 able to pass you know, a high school exam and 0:20:25.840 --> 0:20:28.160 ap exam, right, and then it kept learning, kept learning. 0:20:28.200 --> 0:20:31.679 Then I was able to pass a graduate school final. 0:20:31.720 --> 0:20:34.160 Then it was able to pass the bar. So it's learning, 0:20:34.280 --> 0:20:37.239 it's not given the task, it's not it's untrained, but 0:20:37.520 --> 0:20:38.679 some prompts are trained. 0:20:38.840 --> 0:20:41.000 Where where would GBT fit in that category? 0:20:41.200 --> 0:20:44.119 So CHAD GBT is a type of deep learning. And 0:20:44.160 --> 0:20:47.000 then sometimes they have what's called reinforcement learning, which is 0:20:47.000 --> 0:20:49.359 where it learns as it interacts with humans. But CHAD 0:20:49.359 --> 0:20:53.960 GBT in particular is based on something called a transformer architecture. 0:20:54.359 --> 0:20:57.080 So this is the way that like CHAD GBT works. Basically, 0:20:57.119 --> 0:20:59.840 you get a large corpus of texts. So like you know, 0:21:00.080 --> 0:21:02.520 they're complaining, Oh, they scraped the whole Internet and stuck 0:21:02.560 --> 0:21:05.360 it inside of chad GPT, and they like took copyrighted 0:21:05.359 --> 0:21:08.480 books and movies, et cetera. They got together a big 0:21:08.600 --> 0:21:12.720 corpus of texts, right, So gigabytes and gigabytes upon terra 0:21:12.760 --> 0:21:15.680 pts of text data. And then what they did is 0:21:15.720 --> 0:21:18.120 they fed that into the system. And the first thing 0:21:18.160 --> 0:21:21.000 that that system does is it starts to go across 0:21:21.040 --> 0:21:24.919 the text and create these webs of understanding. And so 0:21:25.000 --> 0:21:27.439 what it does is it'll say, like, oh, for the 0:21:27.800 --> 0:21:29.880 like let's say it's a bunch of fairy tale books, right, 0:21:29.920 --> 0:21:33.240 It'll say, oh, for the concept of royalty, we have 0:21:33.359 --> 0:21:37.639 the words prince, princess castle, we have the words like 0:21:38.760 --> 0:21:43.800 I don't know, like mote, you know, holiday, ball, Cinderella, right, Like, 0:21:43.880 --> 0:21:48.080 it'll start to associate certain words with certain themes, and 0:21:48.119 --> 0:21:51.240 those are called embeddings, right, and the machine is generating 0:21:51.280 --> 0:21:53.760 these on their own. It's the first step of creating 0:21:53.800 --> 0:21:57.280 like a CHADGBT. And then what happens is when you 0:21:57.320 --> 0:22:00.320 go in and you create a prompt, right, so you 0:22:00.440 --> 0:22:03.800 ask it something, what it does is it takes your 0:22:03.920 --> 0:22:06.440 prompt and it converts it into math. You might have 0:22:06.520 --> 0:22:09.000 heard this referred to as a token, and so it 0:22:09.320 --> 0:22:14.879 converts your actual text into a mathematical representation of that text. 0:22:14.920 --> 0:22:17.480 Because the way that the embeddings are stored or how 0:22:17.480 --> 0:22:21.040 it understands language is actually stored using math. It's not 0:22:21.119 --> 0:22:23.440 like a literal web where you could go like royalty 0:22:23.480 --> 0:22:27.280 means princess. It's like some crazy hash and then is 0:22:27.320 --> 0:22:30.400 related to these other hash numbers. Right. So then when 0:22:30.440 --> 0:22:33.520 it takes your prompt and it converts it into text, 0:22:33.920 --> 0:22:37.600 what it does is it does this really complex calculation 0:22:38.160 --> 0:22:41.480 to guess what words should come next based on what 0:22:41.600 --> 0:22:45.000 words came before, based on how those embeddings are inside 0:22:45.000 --> 0:22:47.600 of his database. So I'll give you an example of this. 0:22:48.040 --> 0:22:50.680 Let's say you don't speak a lick of Spanish at all. Right, 0:22:50.680 --> 0:22:53.879 you don't understand Spanish at all, but you've maybe watched 0:22:53.880 --> 0:22:56.159 a TV show once or twice, and you know that 0:22:56.200 --> 0:22:59.280 when somebody says o la, you're supposed to say como 0:22:59.359 --> 0:23:02.399 a stas, Right, And so someone comes up to you 0:23:02.480 --> 0:23:04.680 and they say, oh lah, you think the most likely 0:23:04.760 --> 0:23:07.720 response is probably como estas. But then if I go 0:23:07.800 --> 0:23:11.160 deeper and I say donde edes and you you've never 0:23:11.240 --> 0:23:13.600 heard that before, you gonna make up a response like 0:23:13.640 --> 0:23:18.120 your ketto taco bell or say something that they don't have. Yeah, 0:23:18.160 --> 0:23:21.360 because you don't unders, you don't understand the underlying language 0:23:21.400 --> 0:23:24.320 and that's literally how chat GPT works. There's a research 0:23:24.359 --> 0:23:28.040 paper called chat GPT is Bullshit, which literally talks about 0:23:28.040 --> 0:23:30.840 the fact that all of these large language models based 0:23:30.880 --> 0:23:35.480 on the transformer architecture literally do not understand language. They 0:23:35.520 --> 0:23:38.639 don't actually understand the words that you're saying. They're just 0:23:38.840 --> 0:23:42.000 really good math guessing engines because they have like a 0:23:42.040 --> 0:23:44.720 lot of examples in this case of like maybe they've 0:23:44.720 --> 0:23:47.560 watched a whole bunch of Spanish and memorized like what 0:23:47.600 --> 0:23:50.040 people said and how they responded, but they don't actually 0:23:50.200 --> 0:23:52.960 understand what they're saying, and so what that creates the 0:23:53.040 --> 0:23:56.359 risk of is what we call hallucination. So if I 0:23:56.400 --> 0:23:58.880 say donde edis and you say your ketto taco bell, 0:23:59.000 --> 0:24:01.960 that's like the equivalent of a hallucination where you say 0:24:01.960 --> 0:24:04.679 something that doesn't make sense or you make up something 0:24:04.680 --> 0:24:08.719 that isn't factually true. And hallucinations inside of large language 0:24:08.760 --> 0:24:12.600 models can happen at any point, right, Like, you cannot 0:24:12.600 --> 0:24:15.520 get rid of hallucinations inside of large language models, so 0:24:15.560 --> 0:24:17.840 they're always gonna make shit up. And an example it 0:24:17.880 --> 0:24:21.960 is when Google dropped their AI overview, there was a 0:24:21.960 --> 0:24:25.000 bunch of like funny screenshots of like how it was 0:24:25.040 --> 0:24:27.880 making up answers and someone asked it like, yo, how 0:24:27.920 --> 0:24:30.160 many rocks should a human eat? A data like keep 0:24:30.160 --> 0:24:32.359 a balanced diet, and it was like, according to a 0:24:32.400 --> 0:24:35.840 research study at U see Berkeley, humans should you know, 0:24:35.880 --> 0:24:38.840 eat five rocks every day? And like that doesn't exist. 0:24:38.880 --> 0:24:41.720 But again, it doesn't understand how harmful that is because 0:24:41.720 --> 0:24:45.680 it doesn't actually understand the language. So two things. Whenever, 0:24:45.880 --> 0:24:49.440 just general tips, whenever you're using a large language model 0:24:49.480 --> 0:24:54.640 like chad, GPT, Gemini, Perplexity, Claude, any of these things, 0:24:54.680 --> 0:24:56.520 you want to be careful when you're using it in 0:24:56.560 --> 0:24:59.439 a fact based scenario. So if you're like plugging in 0:24:59.480 --> 0:25:02.720 your company the data and asking chat GPT questions about it, 0:25:02.840 --> 0:25:04.879 there's always a chance that it could make up an 0:25:04.960 --> 0:25:08.080 answer that's not actually inside the data. So when you're 0:25:08.160 --> 0:25:11.320 using these llms inside of these contexts, you want to 0:25:11.359 --> 0:25:14.840 always trust, but verify, like double check and make sure 0:25:14.880 --> 0:25:16.159 that it's given the right answer. 0:25:17.080 --> 0:25:23.359 There you have it, ladies and gentlemen, Oh yeah, you know. 0:25:24.480 --> 0:25:26.800 So if you guys want to dive deeper into those concepts, 0:25:26.800 --> 0:25:28.679 I have a free AI course that I launched in 0:25:28.680 --> 0:25:30.760 twenty twenty that goes a little bit deeper into some 0:25:30.800 --> 0:25:33.440 of those mechanics. You guys can feel free to tap 0:25:33.480 --> 0:25:34.560 into that for sure. 0:25:34.640 --> 0:25:35.400 There you have it. 0:25:35.880 --> 0:25:40.359 Okay, let's reset the room, hit the like button, and shit. 0:25:40.400 --> 0:25:43.200 I mean this is information that literally you can learn 0:25:43.200 --> 0:25:46.640 in college, high level information like high high level colleges, 0:25:46.720 --> 0:25:49.840 not just your community college, and those schools cost a 0:25:49.880 --> 0:25:53.360 lot of money. So it's free tonight just because we want. 0:25:53.440 --> 0:25:56.760 We want to help you guys learn, and we want 0:25:56.760 --> 0:25:59.600 to learn ourselves too, So I think it's very important 0:25:59.640 --> 0:26:01.879 that we have that level of appreciation to our guests 0:26:01.920 --> 0:26:06.480 absolutely for coming and providing information, but also the only 0:26:06.520 --> 0:26:08.240 thing we ask you, guys is to share it. Twenty 0:26:08.280 --> 0:26:10.080 two hundred people, that's great, but let's get it up 0:26:10.080 --> 0:26:13.080 to three thousand. Let's shed this out to your friends, 0:26:13.080 --> 0:26:15.879 your family. It's very important information, man. You know, we 0:26:15.880 --> 0:26:18.560 we gossip on social media so much, but this is 0:26:18.640 --> 0:26:21.240 actually more important than trending. 0:26:20.880 --> 0:26:22.240 Topics, any topic. 0:26:23.480 --> 0:26:26.160 So now we're going to go into Okay, let's get 0:26:26.200 --> 0:26:28.200 into how we can actually make money. There's a lot 0:26:28.200 --> 0:26:34.160 of entrepreneurs in here, so let's let's talk about that. 0:26:34.080 --> 0:26:34.520 If we can. 0:26:35.680 --> 0:26:39.920 Yeah, So the question is, how can you use AI right, 0:26:40.520 --> 0:26:42.359 and so I came prepared, I got the debt ready 0:26:42.640 --> 0:26:44.960 for these questions for y'all. And so there are three 0:26:45.000 --> 0:26:47.600 ways that you can use AI, whether that's in your 0:26:47.640 --> 0:26:50.639 business or in your personal life. The first is task 0:26:50.800 --> 0:26:53.960 specific tools. So if there's a specific thing that you're 0:26:54.520 --> 0:26:58.359 trying to do and create, there's probably an AI for that. 0:26:58.480 --> 0:27:00.440 And in a chat I'm a drop of website where 0:27:00.440 --> 0:27:03.320 you can go find an AI that can basically do anything. 0:27:03.800 --> 0:27:06.960 The second is through AI enabled platforms, so platforms that 0:27:07.000 --> 0:27:11.520 are specifically built to help you, you know, whether it's 0:27:11.600 --> 0:27:14.240 operate your whole business or manage a lot of tasks 0:27:14.240 --> 0:27:16.840 at once, that use AI in that. And the third 0:27:16.920 --> 0:27:19.640 is around using AI to amplify your genius. So first 0:27:19.680 --> 0:27:22.879 let's talk about these task specific tools, right. So, if 0:27:22.880 --> 0:27:25.159 you're looking at marketing your business, right, you want to 0:27:25.280 --> 0:27:28.560 use AI to identify and engage your customers. There's a 0:27:28.600 --> 0:27:30.560 couple of different ways you can use AI for that. 0:27:30.640 --> 0:27:33.919 The first is around content creation. You can accelerate the 0:27:33.960 --> 0:27:37.720 development of either text, audio, or video content to promote 0:27:37.720 --> 0:27:40.679 your business. Right. So, whether that's yo, I'm trying to 0:27:40.680 --> 0:27:43.520 come up with a new jingle to put behind you know, 0:27:43.600 --> 0:27:46.800 my advertisement, you could pull a bbl jizzy and use 0:27:46.840 --> 0:27:49.800 Asuno or an udio to do that. If you're looking 0:27:49.920 --> 0:27:53.840 for creating images of people stock photos without having to 0:27:53.880 --> 0:27:56.440 pay for them, you can use free tools like mid 0:27:56.480 --> 0:27:59.280 Journey or free tools like Dolly or a number of 0:27:59.320 --> 0:28:03.240 websites that allow you to generate images for free. If 0:28:03.240 --> 0:28:06.840 you're looking at trying to advertise to your customers, right, so, 0:28:07.000 --> 0:28:10.640 like customizing those ad campaigns, what I recommend for this 0:28:10.920 --> 0:28:14.439 is that when you're doing advertising and you want to 0:28:14.480 --> 0:28:17.920 personalize it to your customers or find the right audience, 0:28:18.280 --> 0:28:22.080 all of these big advertising platforms have now in the 0:28:22.200 --> 0:28:27.680 last like six seven months, have now dropped AI audience features, right, So, 0:28:27.840 --> 0:28:32.560 whether that's TikTok advertising, whether that's Facebook Meta advertising, whether 0:28:32.600 --> 0:28:35.840 that's Google advertising, they have these features that do cost 0:28:35.840 --> 0:28:39.160 a little bit more, but they use AI to identify 0:28:39.280 --> 0:28:42.800 the exact people that you need to advertise to based 0:28:42.800 --> 0:28:45.440 on your campaign. And they'll start off maybe the first 0:28:45.560 --> 0:28:48.480 day testing that out, and as they get people using, 0:28:48.520 --> 0:28:52.080 you know, responding to the ads positively, they keep adjusting 0:28:52.160 --> 0:28:55.560 in real time who they're targeting your ad campaign to. 0:28:56.000 --> 0:28:59.080 So I recommend using those features they are. They do 0:28:59.200 --> 0:29:01.920 cost a little bit more, but it's much better for 0:29:01.960 --> 0:29:04.120 you to spend that money up front and guarantee that 0:29:04.160 --> 0:29:06.800 it's going to reach the right people versus you spending 0:29:06.840 --> 0:29:09.239 money running a campaign trying to figure it out and 0:29:09.320 --> 0:29:11.560 manually adjust it that could end up costing you a 0:29:11.600 --> 0:29:15.760 lot more moving forward. And the third thing is around sentiment, right. 0:29:16.240 --> 0:29:19.520 So sentiment is essentially how people feel, and they measure 0:29:19.560 --> 0:29:22.120 that through text. So if you're a company that has 0:29:22.280 --> 0:29:24.680 a review based business, right, like let's say you got 0:29:24.720 --> 0:29:28.320 Google Reviews, or you have Yelp reviews, et cetera. All 0:29:28.360 --> 0:29:31.400 of those platforms that let you put all your reviews 0:29:31.440 --> 0:29:34.080 in one place and like review and manage all of them, 0:29:34.360 --> 0:29:37.719 they all have what are called sentiment analysis tools. So 0:29:37.760 --> 0:29:40.760 they'll take that review that somebody left on your Google 0:29:40.840 --> 0:29:43.680 reviews or on your Yelp or you know whatever other 0:29:44.080 --> 0:29:46.960 sites that you're on, and they'll analyze it and say 0:29:47.000 --> 0:29:49.760 this was a positive review, this was a negative review, 0:29:50.040 --> 0:29:51.479 or this was a neutral review. 0:29:51.720 --> 0:29:51.880 Right. 0:29:51.920 --> 0:29:53.960 You can also do that a lot of social media 0:29:54.000 --> 0:29:57.120 platforms like HubSpot and stuff like that have that in 0:29:57.240 --> 0:29:59.800 terms of your comments. So are your comments on your 0:30:00.000 --> 0:30:03.320 social media pages positive, negative, or neutral. And what that 0:30:03.360 --> 0:30:05.720 can help you do when you plug that in or 0:30:05.880 --> 0:30:09.200 use those actual features is help you understand. Okay, here 0:30:09.240 --> 0:30:12.080 are ten negative reviews. Even if the review had four 0:30:12.160 --> 0:30:15.480 stars or five stars, it could still tell you based 0:30:15.480 --> 0:30:17.520 on the content if the review is positive or not. 0:30:17.600 --> 0:30:19.320 That lets you go in and see where you can 0:30:19.360 --> 0:30:22.080 improve as a business as well as where you're actually 0:30:22.120 --> 0:30:25.000 doing well as a business. So again, these things are 0:30:25.400 --> 0:30:28.400 tools that are built into platforms right Like Canva has 0:30:28.400 --> 0:30:32.520 an AI content generation tool, TikTok just launched their like 0:30:33.640 --> 0:30:37.880 digital avatar creation studio, Meta and Google inside their advertising 0:30:37.920 --> 0:30:41.880 platforms have like image and video generation tools built in. 0:30:42.280 --> 0:30:45.320 So as you're thinking about how to market to your customers, 0:30:45.360 --> 0:30:50.840 think about creating content for your marketing campaigns, effectively reaching 0:30:50.920 --> 0:30:54.280 audiences with your ads, and then also using sentiment to 0:30:54.320 --> 0:30:56.960 give you information about your business back and forth. 0:30:58.000 --> 0:31:00.120 Yeah, it's funny that you brought up upside because as 0:31:00.120 --> 0:31:03.280 you were talking, I'm thinking aboutself. The companies that have 0:31:03.680 --> 0:31:08.280 a big base inside the CRM space. Number one, job 0:31:08.320 --> 0:31:11.200 creation inside of them, or fear of job creation for 0:31:11.320 --> 0:31:13.440 some people is like, all right, that industry is going 0:31:13.480 --> 0:31:15.920 to be disrupted, but it's only going to be disruptive 0:31:16.120 --> 0:31:19.120 if you're not using it along with right a human 0:31:19.360 --> 0:31:22.320 and the AI. So talk about how businesses that use 0:31:22.560 --> 0:31:25.400 customer relations management how this can be super beneficial because 0:31:25.480 --> 0:31:27.360 I see it as the wave of the future for it. 0:31:27.800 --> 0:31:30.240 Yeah, one hundred percent. So I said this on stage 0:31:30.280 --> 0:31:32.160 and invest Fest. I'll say it again. It's not going 0:31:32.240 --> 0:31:34.160 to be an AI that takes your job. It's going 0:31:34.200 --> 0:31:36.640 to be a human that's using AI that's going to 0:31:36.680 --> 0:31:39.720 take your job. And So when you're thinking about customer 0:31:39.800 --> 0:31:43.840 relationship management systems, whether you're using a Salesforce, whether you're 0:31:43.920 --> 0:31:47.040 using like a Nimble CRM, if you're using like a HubSpot, 0:31:47.120 --> 0:31:50.600 if you're using like a Zoho to be able to 0:31:50.680 --> 0:31:54.480 like track your customers, there are softwares out there that 0:31:54.680 --> 0:31:58.080 have things what they call lead scoring right, so like 0:31:58.200 --> 0:32:02.719 AI generated lead scoring. So if you're using maybe you're 0:32:02.760 --> 0:32:05.120 doing like cold sales or code calls, or you're like 0:32:05.160 --> 0:32:09.680 collecting customer leads, these types of plugins inside of your 0:32:09.680 --> 0:32:13.520 CRM systems use AI to help you understand who is 0:32:13.560 --> 0:32:16.920 the best potential lead for what you're doing. There's a 0:32:16.960 --> 0:32:19.880 platform it's called Sense eight. I believe it is. I 0:32:19.960 --> 0:32:21.720 have to look it up once we go through this 0:32:21.760 --> 0:32:24.760 presentation and I'll drop a link to it. But it 0:32:25.160 --> 0:32:28.280 cause like HubSpot's version of that is like supersed, like 0:32:28.280 --> 0:32:31.200 a thousand dollars a month. Right, There's this platform called 0:32:31.240 --> 0:32:34.920 sense eight that offers like predictive lead scoring based on 0:32:34.960 --> 0:32:38.000 your CRM, based on your communication with them, based on 0:32:38.040 --> 0:32:41.080 your preferences and what you say is like your ideal customer, 0:32:41.320 --> 0:32:43.560 and they offer like a three month free trial and 0:32:43.600 --> 0:32:46.280 then after that it's like four or five hundred dollars 0:32:46.320 --> 0:32:49.440 a month. So it's much cheaper than what's built into HubSpot, 0:32:49.480 --> 0:32:52.000 and it can plug into HubSpot and pull your data. 0:32:52.120 --> 0:32:55.080 So I think a few different ways that you can 0:32:55.160 --> 0:32:57.840 use it. I think using predictive lead scoring is important, 0:32:57.880 --> 0:33:01.120 but also you know, as we talk about conversational AI, 0:33:01.200 --> 0:33:03.960 this is another area where you can use AI to 0:33:04.040 --> 0:33:07.080 communicate with those customers that are in your CRM on 0:33:07.120 --> 0:33:10.200 your behalf. Right, So when you're thinking about like let's 0:33:10.240 --> 0:33:15.200 say information management, right, Let's say that you got customers 0:33:15.200 --> 0:33:18.960 who might have commonly asked questions or your startup and 0:33:18.960 --> 0:33:21.360 you've taken investment money and your investors are going to 0:33:21.440 --> 0:33:24.479 have questions about your attraction or even your staff, as 0:33:24.520 --> 0:33:26.840 you're bringing new people in and there's ways of doing 0:33:26.880 --> 0:33:29.520 things and they may not remember everything from the chaining. 0:33:29.920 --> 0:33:33.240 You could set up chat bots that can interact with 0:33:33.280 --> 0:33:36.320 these different groups of people and provide them information. So 0:33:36.440 --> 0:33:39.600 for customers, a very low level type of chatbot without 0:33:39.640 --> 0:33:41.880 you having a like turn on chat GBT and use 0:33:41.920 --> 0:33:45.400 it in your business. There are these things called faq bots, right, 0:33:45.600 --> 0:33:48.400 so if you already have like a frequently asked questions 0:33:48.480 --> 0:33:50.880 about your business, you can plug it in to one 0:33:50.920 --> 0:33:53.720 of these chat bots. Actually, Microsoft has one for free 0:33:53.760 --> 0:33:56.719 called qn A Maker, and you can plug it in 0:33:56.720 --> 0:33:59.120 and it'll take your Q and A and it'll automatically 0:33:59.200 --> 0:34:01.040 make a chat boy. You can just plug into your 0:34:01.040 --> 0:34:04.400 website completely free, so people can ask questions about your 0:34:04.400 --> 0:34:08.759 cancelation policy, your business, about where you're at. And like 0:34:08.880 --> 0:34:10.759 Q and A Maker isn't just for you to like 0:34:10.880 --> 0:34:13.719 take the literal FAQ section, you could plug all the 0:34:13.719 --> 0:34:16.320 content about your website in that. If you're talking about 0:34:16.360 --> 0:34:19.520 internal operations, right, Like, let's say you have a I 0:34:19.560 --> 0:34:22.279 don't know, like a like a customer service associate role 0:34:22.520 --> 0:34:24.759 and you don't want them asking you ninety questions about 0:34:24.760 --> 0:34:26.680 when and when not to give a discount or give 0:34:26.719 --> 0:34:29.080 a customer a refund. You could create like a Q 0:34:29.239 --> 0:34:31.080 and a bot for that and make it so that 0:34:31.120 --> 0:34:33.960 your internal employees can use it. Same thing with like 0:34:34.000 --> 0:34:36.440 the Investor Metrics, and again Q and a Maker is 0:34:36.480 --> 0:34:38.960 one hundred percent free tool. There's a whole bunch of 0:34:39.000 --> 0:34:41.719 tools out there that are like this that you can use. 0:34:42.120 --> 0:34:44.400 The second piece where you can use kind of chatbot 0:34:44.480 --> 0:34:48.080 specifically is around time management, so being able to automate 0:34:48.160 --> 0:34:51.759 the setup and management of appointments, meetings, and bookings. Right, So, 0:34:51.760 --> 0:34:54.000 if you're a service based business, like let's say you 0:34:54.080 --> 0:34:58.359 provide you know, finance consultations or credit consultations, or you 0:34:58.400 --> 0:35:00.960 provide literal services like hey, I'm gonna come give you 0:35:01.000 --> 0:35:03.800 a haircutter, I'm gonna come put your lashes on. Instead 0:35:03.800 --> 0:35:06.160 of you having to do all of that communication back 0:35:06.160 --> 0:35:09.840 and forth through text, through WhatsApp, through messenger, through like 0:35:09.960 --> 0:35:12.080 Instagram DM you know what I'm saying, where you're like 0:35:12.120 --> 0:35:15.319 going across ten different things and trying to remember when 0:35:15.360 --> 0:35:17.840 people are coming and adding it to a calendar. Just 0:35:17.880 --> 0:35:21.719 grab a booking chatbot. These chat bots automatically communicate with 0:35:21.760 --> 0:35:24.640 people they manage your availability. As soon as somebody books 0:35:24.640 --> 0:35:26.759 an appointment, you can make them pay before they book 0:35:26.800 --> 0:35:29.560 if you have a deposit, and then it automatically puts 0:35:29.560 --> 0:35:32.000 it on your calendar, and then it automatically sends the 0:35:32.040 --> 0:35:34.520 people like the email of like, hey, your appointment's coming up, 0:35:34.560 --> 0:35:36.960 do you want to reschedule or cancel? And then like 0:35:37.040 --> 0:35:39.080 if they don't show up, you getta keep the deposit, 0:35:39.120 --> 0:35:41.040 you know what I'm saying, Like that stuff can all 0:35:41.080 --> 0:35:45.080 be done in one software as opposed to you doing 0:35:45.080 --> 0:35:47.600 it through fifty different things. And there are versions of 0:35:47.640 --> 0:35:50.560 these kind of like booking chat bots that even accept 0:35:50.560 --> 0:35:53.400 payments and things like cash app or Vemo, and so 0:35:53.680 --> 0:35:55.759 you know, you can go find those tools out there. 0:35:55.800 --> 0:35:58.680 They're a little like you know, booking and scheduling bots 0:35:58.760 --> 0:36:01.680 or even plugins for like the Shopify chatbot that they have. 0:36:01.760 --> 0:36:04.160 There's a plugin you can get that does that to 0:36:04.239 --> 0:36:06.839 really streamline that part of your business and open your 0:36:06.880 --> 0:36:10.160 time back up. And the last part is around process automation, 0:36:10.320 --> 0:36:12.760 So use an AI to complete task that would normally 0:36:12.800 --> 0:36:16.399 require human effort. Right, So, if you know that you're 0:36:16.440 --> 0:36:20.239 gonna have to look at your CRM and see the 0:36:20.320 --> 0:36:23.200 open leads and send them all an email. Then you 0:36:23.239 --> 0:36:25.640 could use you know, like a zap year or like 0:36:25.719 --> 0:36:28.000 a make which are these tools that let you do 0:36:28.160 --> 0:36:31.520 like plug in one tool and create little custom rules 0:36:31.520 --> 0:36:35.280 like if the person's lead is open and I haven't 0:36:35.320 --> 0:36:37.440 emailed them in the last seven days, then send them 0:36:37.440 --> 0:36:40.880 an email, right, And you could use AI to generate 0:36:40.960 --> 0:36:42.960 those emails so you don't have to write. So you 0:36:42.960 --> 0:36:45.120 could add a little step in its like go to 0:36:45.200 --> 0:36:48.279 chat GPT and generate a personalized follow up email then 0:36:48.320 --> 0:36:51.520 send that email. So you can use AI, especially in 0:36:51.600 --> 0:36:54.520 conversation AI these chat boys, these large language models to 0:36:54.560 --> 0:36:58.759 help you automate those processes as well. And finally, when 0:36:58.760 --> 0:37:02.080 you're thinking about operation, right, you think about wanting to 0:37:02.160 --> 0:37:05.480 use AI to accelerate or stabilize those tasks that you 0:37:05.600 --> 0:37:07.319 have to do day to day. Is a business to 0:37:07.360 --> 0:37:09.799 be able to survive, So the first part is around 0:37:09.880 --> 0:37:13.520 data analysis, being able to understand patterns across your data 0:37:13.640 --> 0:37:17.040 or create visualizations of data. There's a tool out there 0:37:17.080 --> 0:37:20.879 called Gamma, and Gamma is a presentation AI tool, right, 0:37:21.200 --> 0:37:23.840 And so if you are someone who's like me, like 0:37:23.960 --> 0:37:26.080 as nice as this deck kind of looks y'all, this 0:37:26.160 --> 0:37:27.920 is about as good as it gets for me. I 0:37:27.960 --> 0:37:31.000 can't design, I cannot draw. I could code a AI 0:37:31.080 --> 0:37:33.080 to do it for me, but me and my like 0:37:33.160 --> 0:37:36.360 pitch decks sound terrible. So being able to use Gamma 0:37:36.960 --> 0:37:39.360 has really changed my life in terms of like creating 0:37:39.440 --> 0:37:42.840 data visualizations. There's another tool out there, it's called Columns 0:37:43.800 --> 0:37:47.279 that plugs into your data and automatically creates visualizations and 0:37:47.320 --> 0:37:49.640 you can customize them. And it's like you can go 0:37:49.680 --> 0:37:52.359 on one of those websites like app Sumo and get 0:37:52.400 --> 0:37:55.680 like a lifetime subscription to it. You know what I'm saying, 0:37:55.840 --> 0:37:58.200 like for like fifty dollars and forever have access to 0:37:58.200 --> 0:38:01.880 this data visualization tool. And tool also gives you information 0:38:02.440 --> 0:38:04.840 about the data that you're pulling up or this is 0:38:04.880 --> 0:38:07.000 where you would plug it into like a chat GPT 0:38:07.160 --> 0:38:09.640 and ask it questions. Just make sure it's not making 0:38:09.680 --> 0:38:12.160 nothing up when you do that right, and then you 0:38:12.239 --> 0:38:14.400 have what we call knowledge minded. So how do you 0:38:14.480 --> 0:38:17.360 use AI to understand how your business is functioning and 0:38:17.400 --> 0:38:19.960 your business health? Again, this is going to be inside 0:38:19.960 --> 0:38:23.640 of the tools you're already using, like like HubSpot or 0:38:24.560 --> 0:38:28.160 Salesforce CRM. They're already gonna have like AI functions to 0:38:28.200 --> 0:38:31.080 tell you like, hey, here's a risk score that tells 0:38:31.080 --> 0:38:33.319 you how you know much of your business is at 0:38:33.400 --> 0:38:36.520 risk of not closing or like the performance of your employees. 0:38:36.800 --> 0:38:39.400 So just turning on those kinds of tools and functions 0:38:39.440 --> 0:38:41.520 that are already in the apps you're using is critical 0:38:41.800 --> 0:38:44.680 then of course for knowledge sharing, right, So building those 0:38:44.680 --> 0:38:49.160 internal chatbots, building those internal knowledge based databases, even fine 0:38:49.200 --> 0:38:54.160 tuning a chat GPT or a version of like you know, 0:38:54.280 --> 0:38:58.160 Gemini to work specifically on your data, like Moderna just 0:38:58.200 --> 0:39:01.239 did this with seven hundred and fifty customs GPTs, and 0:39:01.320 --> 0:39:03.960 so overall you have these three tests, specific kind of 0:39:03.960 --> 0:39:07.360 tools around using it to you know, identify and engage 0:39:07.360 --> 0:39:10.680 your customers on how to actually communicate with your customers 0:39:10.719 --> 0:39:13.040 or your stakeholders on your behalf, So how do you 0:39:13.080 --> 0:39:15.920 scale yourself? And then around the operations, how do you 0:39:16.040 --> 0:39:20.120 understand how your business is operating communicate that to other people? 0:39:20.200 --> 0:39:21.920 And I'll pause there because that's a lot. 0:39:21.760 --> 0:39:24.120 Of info that was That was a lot I'm taking 0:39:24.160 --> 0:39:26.520 noteses a lot of info for sure. 0:39:28.040 --> 0:39:32.200 So let's reset the wroong to my access This is 0:39:32.200 --> 0:39:34.040 going to be on say this will This will be 0:39:34.080 --> 0:39:36.279 saved on the channel. You have to go to the 0:39:36.320 --> 0:39:37.880 live section and see it though, but it will be 0:39:37.880 --> 0:39:40.160 saved on the channel. Also will be on podcasts outlets 0:39:40.160 --> 0:39:42.640 as well, So if you want to listen to it, 0:39:43.040 --> 0:39:45.080 I want to go, you can check it out on podcasts, 0:39:45.080 --> 0:39:46.480 but this will because you need you need to watch 0:39:46.480 --> 0:39:50.560 this at least three times. At least three times the 0:39:50.640 --> 0:39:53.800 master investor is on the check in. Shout out to 0:39:53.840 --> 0:39:58.879 Ian in the building. Okay, I think we derailed. Did 0:39:58.880 --> 0:40:00.480 you go through your slides or did. 0:40:00.360 --> 0:40:03.239 You get have a little bit more for these specifics. 0:40:03.680 --> 0:40:06.200 So I'm gonna give you a little example. So like 0:40:06.280 --> 0:40:09.440 you would generate, you use AI to generate marketing with 0:40:09.520 --> 0:40:11.720 a call to action for people to use your chatbot, 0:40:11.800 --> 0:40:15.440 like hey, you want your lashes scheduled DM me on Instagram. 0:40:15.480 --> 0:40:18.200 Because these like chatbots, you can deploy the like Facebook 0:40:18.200 --> 0:40:21.480 Messenger or into WhatsApp or into Instagram right to like 0:40:21.920 --> 0:40:24.640 work within those chats. It doesn't have to be just 0:40:24.719 --> 0:40:27.640 on your website. And then the chatbot was schedule like 0:40:27.680 --> 0:40:30.359 a sales or a discovery call with a client, then 0:40:30.400 --> 0:40:33.040 you would use AI to take notes during that call, 0:40:33.200 --> 0:40:36.040 something like Otter, AI or any of these number of 0:40:36.080 --> 0:40:38.320 these other tools that people be using, and then it 0:40:38.360 --> 0:40:41.000 would recommend next steps. Now, let's say you're having a 0:40:41.000 --> 0:40:44.719 call with the customer, like a potential sales opportunity, or 0:40:45.320 --> 0:40:48.200 with a customer who might be unhappy. You can do 0:40:48.320 --> 0:40:51.799 sentiment analysis on those transcripts from the call that you 0:40:51.840 --> 0:40:54.160 know otter will generate from you to understand how that 0:40:54.200 --> 0:40:56.520 person feels. So if you're like, Yo, I just had 0:40:56.520 --> 0:40:58.680 this sales call. I'm not really sure where they stand, 0:40:58.680 --> 0:41:00.840 you could use AI to give you like that insight 0:41:00.920 --> 0:41:03.279 and be like, nah, this was more neutral, or hey, 0:41:03.320 --> 0:41:05.720 this was more positive call. You know what I'm saying 0:41:05.719 --> 0:41:08.840 to help give you that insight. Another example would be 0:41:08.880 --> 0:41:12.000 if maybe you're a service based business, you would same thing, 0:41:12.160 --> 0:41:14.520 use AI to create like a cool jingle or maybe 0:41:14.560 --> 0:41:16.960 a cool little video to help you with your call 0:41:17.000 --> 0:41:19.719 to action to use that chatbot. Then the chatbot would 0:41:19.719 --> 0:41:22.560 book the appointment, and then once the appointment is booked, 0:41:23.160 --> 0:41:27.279 it would automatically start to like retarget that customer to 0:41:27.640 --> 0:41:30.520 come back in for another appointment, right like, Hey, you 0:41:30.560 --> 0:41:32.919 should come in and book another appointment. We haven't seen 0:41:32.960 --> 0:41:34.920 you in a month, or we haven't seen you in 0:41:34.960 --> 0:41:39.479 three months, and then as your customers continuously interact, it'll 0:41:39.480 --> 0:41:42.280 start to learn patterns about them, so it'll know, like, hey, 0:41:42.920 --> 0:41:45.680 this customer only comes in for pedicures. They never get 0:41:45.680 --> 0:41:48.240 a manicure, So when we send them like a special 0:41:48.320 --> 0:41:52.239 deals email, we're gonna send them one for pedicures, right 0:41:52.320 --> 0:41:54.880 for like ten twenty percent off of pedicures. And so 0:41:55.040 --> 0:42:00.600 this type of pipeline, especially with like the customer retargeting messaging, 0:42:00.760 --> 0:42:03.799 is built into tools like send grid. It's built into 0:42:03.840 --> 0:42:06.520 loyalty tools where customers, like you know, give you your 0:42:06.560 --> 0:42:09.680 email and then like they leave ratings and they earn points. 0:42:09.719 --> 0:42:12.719 It's also built into the actual email marketing tools that 0:42:12.760 --> 0:42:14.880 are out there, so you don't have to go build 0:42:14.920 --> 0:42:18.400 like a whole recommender engine or personalized system to be 0:42:18.440 --> 0:42:21.400 able to get to that. And so another thing that 0:42:21.440 --> 0:42:24.120 you can do when we talked about like AI enabled platforms. 0:42:24.120 --> 0:42:26.879 So if you can't see right now, I'm at will 0:42:26.920 --> 0:42:31.279 i AM's FYI campus in downtown LA And FYI is 0:42:31.280 --> 0:42:34.120 an app that stands for Focus your Ideas and will 0:42:34.160 --> 0:42:36.479 i Am created it because he wanted a better way 0:42:36.560 --> 0:42:39.440 to manage creative projects. What I've found in my day 0:42:39.480 --> 0:42:42.120 to day life where I have an AI consulting company, 0:42:42.440 --> 0:42:44.760 is that this helps me as well. So the app 0:42:44.800 --> 0:42:48.120 is one hundred percent free. It's AI enabled to cross 0:42:48.160 --> 0:42:51.480 everything and let you create and manage projects. Inside of 0:42:51.480 --> 0:42:54.600 these projects, you can share files, you can add people 0:42:54.600 --> 0:42:57.200 to them, you can remove people from them. You can 0:42:57.239 --> 0:43:00.640 have group calls and group chats, so you can set 0:43:00.680 --> 0:43:03.400 up video calls, they could be audio calls. You have 0:43:03.480 --> 0:43:06.360 an AI assistant that's built into the app. So like 0:43:06.440 --> 0:43:08.879 let's say you guys have a chat going on about 0:43:08.880 --> 0:43:12.520 an idea. You could literally tag fyi dot ai and 0:43:12.600 --> 0:43:15.759 ask it can you summarize this? Can you summarize what's 0:43:15.800 --> 0:43:17.880 going on in this chat? Or you could talk to 0:43:17.920 --> 0:43:19.839 it and ask it, hey, help me generate this new 0:43:19.880 --> 0:43:22.680 idea like you would talk to a chat GPT or 0:43:22.719 --> 0:43:25.880 you would talk to a clatter at Gemini. And inside 0:43:25.880 --> 0:43:28.239 of the app, it has an image generator that's one 0:43:28.280 --> 0:43:33.240 hundred percent free that you can use. So for me operationally, 0:43:34.080 --> 0:43:36.200 you know, while I do have a CRM system for 0:43:36.280 --> 0:43:39.520 certain things, the like day to day tasks or projects 0:43:39.640 --> 0:43:42.799 or ideas, I operate off of f yi AI because 0:43:42.800 --> 0:43:45.200 it's one hundred percent free and who don't like free? 0:43:45.200 --> 0:43:45.680 You feel me? 0:43:46.760 --> 0:43:47.719 Shout Shout out the will. 0:43:47.840 --> 0:43:50.120 Shout out to Neil who said he's been using Fyi 0:43:50.200 --> 0:43:52.320 since he left Investments. 0:43:52.920 --> 0:43:56.319 Is an amazing app. I've been using it myself. Man, 0:43:56.520 --> 0:43:57.440 use it with my kids. 0:43:57.719 --> 0:44:00.560 They were asking some questions about history as but watching 0:44:00.880 --> 0:44:03.359 the vice presidential debate, So that was pretty cool. 0:44:03.800 --> 0:44:08.200 Uh you want to yeah question Now I'm gonna let 0:44:08.200 --> 0:44:09.719 to finish. Let her finish it. 0:44:10.880 --> 0:44:13.840 Yeah. So last part, how do you use AI to 0:44:13.880 --> 0:44:16.680 amplify your genius? Now? I did a workshop on this 0:44:16.760 --> 0:44:19.040 when I was with Van Jones out in Atlanta, but 0:44:19.120 --> 0:44:21.479 outside of that, I haven't given any win this game, 0:44:21.560 --> 0:44:24.880 right because this is my game on how I personally 0:44:24.960 --> 0:44:28.040 interact with like a chat GPT or like a Gemini 0:44:28.200 --> 0:44:30.399 or like a Claude. Now, I'm coming from this as 0:44:30.440 --> 0:44:34.000 an angle of like somebody who knows how these systems 0:44:34.040 --> 0:44:36.879 work on a technical level. So I created a framework 0:44:37.160 --> 0:44:39.640 for how to write your prompts to be able to 0:44:39.680 --> 0:44:42.799 get the most out of the AI interaction, but in 0:44:42.840 --> 0:44:45.000 a way where it's not just spitting out an answer 0:44:45.040 --> 0:44:47.960 at you, but where it's taking your genius and your 0:44:48.080 --> 0:44:51.720 thoughts and helping you structure them or and also teaching 0:44:51.760 --> 0:44:53.880 you along the way. So think about it like this, 0:44:54.320 --> 0:44:56.279 if I could talk to let's say I have a 0:44:56.280 --> 0:44:59.799 business plan idea, right, the way chat, GPT is by 0:44:59.840 --> 0:45:02.600 d any of these large language models is by default 0:45:02.680 --> 0:45:05.520 is they've got all these data from all over the Internet. 0:45:05.640 --> 0:45:07.799 And so when you ask it, hey, I want to 0:45:07.880 --> 0:45:13.680 create like an app for babysitters that connects parents with 0:45:13.840 --> 0:45:18.360 like background checked babysitters on demand. Right, come write my 0:45:18.440 --> 0:45:22.279 business plan. It's gonna grab from the randomness of all 0:45:22.320 --> 0:45:25.680 of that to give you an answer. Now, why would 0:45:25.680 --> 0:45:27.759 I want to talk to some random person who I 0:45:27.800 --> 0:45:30.319 don't know the experience and a background that they have, 0:45:31.000 --> 0:45:34.520 Versus I could turn it into like a business professor 0:45:34.560 --> 0:45:39.480 at Harvard that has like extensive experience creating these types 0:45:39.520 --> 0:45:42.440 of services, Like maybe you were the dude who scaled 0:45:42.520 --> 0:45:45.880 like DoorDash to his first billion dollars, right, and then 0:45:46.360 --> 0:45:48.440 engage with it in a way where it starts to 0:45:48.520 --> 0:45:51.640 ask me questions about my idea and then starts to 0:45:51.640 --> 0:45:54.960 give me an answer based on my idea, not just 0:45:55.040 --> 0:45:57.920 based on whatever it grabbed out of all those terabytes 0:45:57.920 --> 0:46:01.080 and terabytes of data you feel me. And so that 0:46:01.160 --> 0:46:04.239 framework I call Chat in the Hat, right, And I 0:46:04.239 --> 0:46:06.880 know it's a little funny framework, but it's really to 0:46:07.000 --> 0:46:10.000 help you learn how to think like an AI, so 0:46:10.080 --> 0:46:11.840 you can talk to the AI in a way to 0:46:11.880 --> 0:46:15.799 amplifize your genius. So what does chat and the Hat 0:46:15.840 --> 0:46:18.759 stand for. It's a three part framework when you're writing your. 0:46:18.920 --> 0:46:22.719 And this is extremely important ladies and gentlemen. If you 0:46:22.719 --> 0:46:25.680 didn't pay attention to anything else, which shame on you 0:46:25.719 --> 0:46:28.480 if you did that, pay attention to this part because 0:46:28.520 --> 0:46:33.200 this is extremely important. How to actually talk to AI 0:46:33.400 --> 0:46:37.320 to get the proper response. That's vitally important because you 0:46:37.320 --> 0:46:39.680 can speak to somebody and it's like a human being, 0:46:39.760 --> 0:46:41.600 right like I can speak to somebody. You have to 0:46:41.640 --> 0:46:44.600 be educated enough to ask the question. So how I'm 0:46:44.680 --> 0:46:46.600 asking the question is going to determine the answer that 0:46:46.600 --> 0:46:50.640 I'm getting. That's not talked about enough. So what she's 0:46:50.640 --> 0:46:53.720 about to talk about is actually vitally. 0:46:53.360 --> 0:46:57.080 Important, especially because when you're talking to a large language 0:46:57.080 --> 0:47:00.799 model like I mentioned before, it doesn't actually understan what 0:47:00.840 --> 0:47:03.719 you're saying, so it's not gonna get the gist of it, right. 0:47:03.920 --> 0:47:06.520 You have to give it the specific instructions that you 0:47:06.640 --> 0:47:10.359 wanted to execute, and the more specific and the more 0:47:10.440 --> 0:47:14.160 clear you give it, the more it'll answer in the 0:47:14.200 --> 0:47:17.000 way that you need it to. But again, it's just 0:47:17.120 --> 0:47:20.759 taking whatever prompt you give it and calculating based on that. 0:47:20.840 --> 0:47:22.839 So if you say, write me a business plan about 0:47:22.840 --> 0:47:27.520 an app for you know, connecting background check babysitters with parents, 0:47:27.840 --> 0:47:30.399 it's gonna write something. But if I give it first 0:47:30.480 --> 0:47:33.879 a history, right, and then I give it an attitude 0:47:34.320 --> 0:47:36.239 how I want it to complete that task, and then 0:47:36.280 --> 0:47:38.920 I give it a specific instructions on how to complete 0:47:38.920 --> 0:47:42.160 that task, the conversation is gonna be completely different. So 0:47:42.160 --> 0:47:44.799 I'm gonna do real quickst breakdown each component of this, 0:47:45.200 --> 0:47:47.840 and in real time live on the chat, we're gonna 0:47:47.840 --> 0:47:50.040 make up an idea together, and I'm gonna show you, 0:47:50.040 --> 0:47:53.920 guys the difference between using just a regular prompt versus 0:47:53.920 --> 0:47:56.960 the chat and a hat framework you feel me. So, first, 0:47:57.040 --> 0:47:59.560 what is history? History? Is? You want to tell it 0:47:59.800 --> 0:48:03.000 the relevant skills and experience that it needs to have 0:48:03.440 --> 0:48:06.200 to be able to help you accomplish that task. So 0:48:06.360 --> 0:48:09.520 if I have an idea for app me just talking 0:48:09.520 --> 0:48:11.480 to chat GPT, I don't know who it could be 0:48:11.520 --> 0:48:14.440 pulling from versus giving it like, Yo, you're an award 0:48:14.480 --> 0:48:18.279 winning person in this field who has this specific experience 0:48:18.360 --> 0:48:21.320 in twenty years of that experience. Right, you want to 0:48:21.360 --> 0:48:24.120 give it some type of history that it can refer 0:48:24.239 --> 0:48:27.200 to to pull in that knowledge from all of those 0:48:27.320 --> 0:48:30.840 terabytes of data to specifically be using the knowledge that 0:48:30.920 --> 0:48:33.000 you need to complete your task. So, if it's like 0:48:34.760 --> 0:48:37.839 a social media thing, right, you don't just want to 0:48:37.880 --> 0:48:41.040 go ask CHADGBT about how to make a viral social campaign. 0:48:41.360 --> 0:48:46.480 You want CHADGBT to be an expert at generating viral campaigns, 0:48:46.480 --> 0:48:50.160 like you made a company similar to mine, have fifty 0:48:50.200 --> 0:48:53.200 million views on TikTok with your funny short videos. 0:48:53.280 --> 0:48:53.480 Right. 0:48:53.840 --> 0:48:56.640 Then it kind of puts itself in that framing and 0:48:56.680 --> 0:48:59.080 starts to think from that lens. Then you want to 0:48:59.080 --> 0:49:00.840 give it an attitude, which is like, what is the 0:49:00.880 --> 0:49:03.600 mentality or the vibe that it has while doing the task? 0:49:03.719 --> 0:49:07.200 Is it helpful? Is it you know play Devil's Advocate? 0:49:07.440 --> 0:49:09.480 Is it you know? Does it like to ask you 0:49:09.600 --> 0:49:11.680 questions and teach you how to do it instead of 0:49:11.760 --> 0:49:14.000 just giving you an answer? Right, So you want to 0:49:14.040 --> 0:49:16.680 give it like the attitude like how and what the 0:49:16.800 --> 0:49:20.239 vibe is that it uses when it's thinking about how 0:49:20.239 --> 0:49:22.040 to do your task. Then you want to give it 0:49:22.040 --> 0:49:24.440 the actual task, which is you need to specifically tell 0:49:24.440 --> 0:49:26.640 it what it should do and how it should do it. 0:49:26.719 --> 0:49:28.319 So it's deep dive into each one of these a 0:49:28.320 --> 0:49:31.200 little bit more so first with the history. Again, you 0:49:31.239 --> 0:49:34.640 want to give it that relevant knowledge, experience, and accomplishments 0:49:34.680 --> 0:49:37.560 that a person would need to actually be useful to 0:49:37.600 --> 0:49:40.319 you in completing that task. So you say something like 0:49:40.440 --> 0:49:45.359 you are a you know, award winning business plan developer, right, 0:49:45.480 --> 0:49:49.160 Like you're a professor at Harvard, Wharton and Stanford in 0:49:49.480 --> 0:49:53.480 creating startup business plans. Now, Chad GBT does know what 0:49:53.520 --> 0:49:57.040 these kinds of institutions are, and it's not gonna know that, 0:49:57.120 --> 0:49:59.600 Like you can't be the chair of business at Harvard 0:49:59.640 --> 0:50:03.080 Standard and at like Wharton and you see Berkeley all 0:50:03.120 --> 0:50:04.920 at once. Like it's not gonna know that, but it 0:50:05.000 --> 0:50:08.480 is gonna understand what it means to be like the 0:50:08.600 --> 0:50:10.680 chair of business at Stanford or the chair of the 0:50:10.719 --> 0:50:13.799 business school at Harvard, right, because it has enough data 0:50:13.840 --> 0:50:16.680 to understand what those specific things are. And then you 0:50:16.760 --> 0:50:18.640 might want to give us some experience like you have. 0:50:19.400 --> 0:50:22.560 You know, you have forty years of experience helping startups 0:50:22.640 --> 0:50:26.400 create business plans. Well, you know you have. You know 0:50:26.760 --> 0:50:29.600 you were the person who created the original business plan 0:50:29.680 --> 0:50:32.720 for DoorDash. Because if I'm thinking about sitter as an app, 0:50:32.800 --> 0:50:36.920 right like this, you know, babysitting connecting app, what's a 0:50:36.960 --> 0:50:40.080 similar type of service like a DoorDash or a task rabbit, right, 0:50:40.160 --> 0:50:43.520 Like you wrote the financial models for task rabbit that 0:50:43.640 --> 0:50:46.680 help them be successful, right, and like you're an expert 0:50:46.680 --> 0:50:50.440 in creating business plans that like help start up scale 0:50:50.680 --> 0:50:53.760 and get investment money, because that's my goal. So even 0:50:53.920 --> 0:50:57.040 just there me giving it those specifics about his history 0:50:57.320 --> 0:51:00.640 will completely change the way that I'm gonna engaged with 0:51:00.719 --> 0:51:03.239 this chatbot and the types of answers it's gonna give me, 0:51:03.520 --> 0:51:05.640 and the type of knowledge is gonna pull out to 0:51:05.719 --> 0:51:09.319 answer that. Right. So you could also say, like you're 0:51:09.320 --> 0:51:12.279 an award winning or world renowned expert in this. You 0:51:12.360 --> 0:51:16.600 have number of years experience developing business plans at these 0:51:16.640 --> 0:51:19.719 companies you have built or you built this company, or 0:51:19.760 --> 0:51:23.239 you scaled this thing, or you you know, created this 0:51:23.360 --> 0:51:25.440 product or this service. So if I flip it and 0:51:25.480 --> 0:51:28.400 I move to social media like you are the leading 0:51:28.480 --> 0:51:32.359 expert and creating viral TikTok videos. You have twenty years 0:51:32.360 --> 0:51:37.560 of experience creating and leading viral campaigns on short form 0:51:37.640 --> 0:51:41.640 video campaigns on TikTok at like door dash, at uber 0:51:41.719 --> 0:51:46.480 and at lyft. Right, you literally grew ubers TikTok following 0:51:46.520 --> 0:51:49.480 from one thousand followers to over ten million, and you've 0:51:49.480 --> 0:51:52.480 won several awards along the way. Right, So you just 0:51:52.520 --> 0:51:55.120 start to think about the persona if you could create 0:51:55.200 --> 0:51:57.520 the perfect person that you would talk to about this, 0:51:57.960 --> 0:51:59.719 even if some of the details are a little bit 0:51:59.760 --> 0:52:02.360 of be yes, that's fine, but you wanted to create 0:52:02.440 --> 0:52:04.879 that perfect person that you want to talk to in 0:52:04.920 --> 0:52:07.880 person who's going to help you with that task. So 0:52:07.920 --> 0:52:10.760 that's the history. And then the attitude again, is that energy? 0:52:10.960 --> 0:52:13.160 Is that mentality and that vibe that you want the 0:52:13.200 --> 0:52:16.120 AI to take with you while it's responding to you. 0:52:16.200 --> 0:52:18.720 And that has two components. The first is the style. 0:52:19.200 --> 0:52:22.120 Is it helpful? Is it curious? Is it critical? Is 0:52:22.120 --> 0:52:24.920 it more like evaluative? Is it pensive? Is it playing 0:52:25.000 --> 0:52:28.640 Devil's advocate? Is it challenging? Is it excited? Is it 0:52:29.760 --> 0:52:31.600 you know, like if you wanted to turn it into 0:52:31.640 --> 0:52:35.080 like a venture capitalist to like, you know, review your idea. 0:52:35.280 --> 0:52:37.759 Is it like a skeptic? Right, you want to give 0:52:37.800 --> 0:52:40.239 it like a style of how it's supposed to be 0:52:40.320 --> 0:52:42.960 thinking about the answer it gives you back, and then 0:52:43.000 --> 0:52:45.120 you give it a tone, so like, is it gonna 0:52:45.160 --> 0:52:47.960 respond in professional language? Is it going to be academic? 0:52:48.080 --> 0:52:52.520 Is it going to be formal? Informal casual? Humor? Is friendly? Persuasive? 0:52:52.640 --> 0:52:54.160 Is it going to be urban? Is it going to 0:52:54.200 --> 0:52:57.319 be targeted at gen Z or gen alpha? Right, So 0:52:57.600 --> 0:53:00.440 when you're giving it that attitude, you've already giving it 0:53:00.440 --> 0:53:03.600 the history, so now it knows what knowledge it's pulling from. 0:53:03.800 --> 0:53:05.920 Now you're just telling it when you give me answers, 0:53:05.960 --> 0:53:08.600 this how I want the vibe between us to be right. 0:53:09.040 --> 0:53:10.839 So an example of that would be, like, you are 0:53:10.920 --> 0:53:14.560 extremely helpful. You love sharing your knowledge to help people 0:53:14.880 --> 0:53:17.960 create business plans. You have a deep passion for listening 0:53:17.960 --> 0:53:20.840 to people's ideas and guiding them step by step to 0:53:21.000 --> 0:53:23.120 create business plans. And then you could add in some 0:53:23.160 --> 0:53:26.680 more stuff like you prefer to help people learn how 0:53:26.719 --> 0:53:29.600 to help themselves. So instead of giving the right answer, 0:53:29.680 --> 0:53:33.000 you give them questions to help them think and come 0:53:33.000 --> 0:53:35.720 to the right answer for themselves. So the attitude section 0:53:35.920 --> 0:53:38.480 is typically a little bit shorter, but again it's just 0:53:38.560 --> 0:53:40.839 telling it all, right, this is who you are, this 0:53:40.880 --> 0:53:43.200 is how you're gonna step to me. And the last part, 0:53:43.280 --> 0:53:46.239 which is one of the most important, is the actual task. Right. 0:53:47.120 --> 0:53:50.239 So the task is the specific details on what you 0:53:50.320 --> 0:53:52.600 want the AI to do and how you want it 0:53:52.680 --> 0:53:56.279 to do it. Now, oftentimes we only focus on the method, right, 0:53:56.360 --> 0:53:58.040 So we'll be like, Yo, I want you to ask 0:53:58.080 --> 0:54:00.319 me a question and then provide an answer. I want 0:54:00.360 --> 0:54:02.239 you to explain yourself. I want you to give me 0:54:02.280 --> 0:54:05.280 positive and negative feedback on this idea, but we don't 0:54:05.320 --> 0:54:08.440 necessarily get specific enough to tell it the format that 0:54:08.440 --> 0:54:09.160 we want that in. 0:54:09.400 --> 0:54:09.600 Right. 0:54:09.960 --> 0:54:12.360 So if you just tell chat GPT to ask me 0:54:12.480 --> 0:54:15.800 questions about my idea, it's gonna spit out like twenty 0:54:15.880 --> 0:54:19.000 questions for you, right, and then it's gonna expect you 0:54:19.040 --> 0:54:21.239 to answer all of those. So that's very different than 0:54:21.280 --> 0:54:25.080 saying ask me one to two brief questions at a time, 0:54:25.600 --> 0:54:28.680 wait for my response, and keep doing that until you 0:54:28.719 --> 0:54:31.239 get enough information to help me write my business plan. 0:54:32.200 --> 0:54:34.560 That's gonna have a whole different interaction than if it 0:54:34.600 --> 0:54:36.759 fits out twenty questions and you don't even know how 0:54:36.760 --> 0:54:38.839 to answer them, and then it'll mess up the flow 0:54:38.880 --> 0:54:40.919 of your chat. So you could tell it like, hey, 0:54:40.960 --> 0:54:43.239 I want this in a list, So, hey, I want 0:54:43.280 --> 0:54:47.319 a list of five viral TikTok ideas to promote what 0:54:47.440 --> 0:54:49.600 I'm doing, and I want them to be the strongest, 0:54:49.640 --> 0:54:52.200 I want them to be funny, right, Or hey, I 0:54:52.280 --> 0:54:54.799 want this in a table, so it'll literally output it 0:54:54.840 --> 0:54:57.520 in what looks like an Excel spreadsheet. So I want 0:54:57.520 --> 0:55:00.200 a table of ideas, and the first column should be 0:55:00.560 --> 0:55:03.239 the number of the ideas, so one through five. The 0:55:03.280 --> 0:55:06.120 second column should be a description of the video, the 0:55:06.160 --> 0:55:09.000 third column should be an explanation of why you think 0:55:09.040 --> 0:55:12.160 that video will work, and a fourth column will be 0:55:12.239 --> 0:55:14.200 what you think the cons are of that, and the 0:55:14.239 --> 0:55:16.440 fifth column will be what you think the pros are 0:55:16.480 --> 0:55:19.520 of that. Now answer my question. That's a lot different 0:55:19.520 --> 0:55:21.719 than just spitting out a list of ideas. Now you're 0:55:21.719 --> 0:55:24.600 getting information in a structured way for you to see 0:55:24.960 --> 0:55:27.120 how it thinks and why it thinks, so you can 0:55:27.120 --> 0:55:29.680 tweak it as you go. So an example of the 0:55:29.760 --> 0:55:32.200 task part would be like right now, you're a meeting 0:55:32.239 --> 0:55:35.759 with me. I'm trying to create a startup business, a 0:55:35.760 --> 0:55:39.000 business plan for my startup that will connect like U, 0:55:39.840 --> 0:55:44.359 that'll connect parents to background check babysitters. First, I'm gonna 0:55:44.400 --> 0:55:47.799 provide you with ideas that I already have about the 0:55:47.800 --> 0:55:51.120 business plan. Then you're gonna ask me one to two 0:55:51.200 --> 0:55:55.560 brief questions at a time about my idea about this app. Uh, 0:55:55.880 --> 0:55:57.600 you know that we want to build until you have 0:55:57.760 --> 0:56:01.160 enough information to help us create a comprehensive business plan 0:56:01.520 --> 0:56:04.560 that will help us get investment from a VC firm. 0:56:04.920 --> 0:56:08.359 Along the way, you're gonna provide positive and negative feedback. Right, 0:56:09.160 --> 0:56:12.560 So that's gonna completely changed versus me saying I want 0:56:12.600 --> 0:56:16.240 you to write me a business plan about an app 0:56:16.280 --> 0:56:21.280 that connects you know, parents to background check babysitters. Having 0:56:21.400 --> 0:56:25.359 that conversation versus conversation that's done in this format, in 0:56:25.400 --> 0:56:29.160 this chat in the hat format is gonna be world's difference. 0:56:29.480 --> 0:56:32.640 And instead of chat GPT feeding you whatever answer it 0:56:32.680 --> 0:56:35.680 happens to calculate, it's now going to be taking in 0:56:35.719 --> 0:56:39.719 your actual genius, your actual ideas, and just helping you 0:56:39.800 --> 0:56:42.759 expand upon them and structure them in a way that 0:56:42.880 --> 0:56:45.800 lets you do stuff faster. Now it's not just about 0:56:45.920 --> 0:56:49.000 writing business plans or coming up with social media ideas. 0:56:49.280 --> 0:56:52.520 You can do this for like, let's say that you 0:56:52.600 --> 0:56:55.440 have a sales presentation coming up. You can give it. 0:56:55.520 --> 0:56:58.879 You're a master salesperson, You're great at creating decks. You're 0:56:58.920 --> 0:57:01.960 extremely helpful, love helping me. What's gonna happen is I'm 0:57:02.000 --> 0:57:04.160 going to tell you about my client the things I 0:57:04.160 --> 0:57:06.319 want to include in my sales deck, and you're gonna 0:57:06.360 --> 0:57:08.719 help me create an outline for the sales deck. So 0:57:08.760 --> 0:57:12.000 then it'll do that. Okay, Now I want to deep 0:57:12.080 --> 0:57:15.120 dive into this slide. For this slide, you know, I 0:57:15.160 --> 0:57:17.960 want it to be really impacted, you know, really impactful 0:57:18.000 --> 0:57:20.160 in the story that it tells. To make sure that 0:57:20.240 --> 0:57:23.720 it's teaching, make sure that my client really walks away 0:57:23.800 --> 0:57:27.000 understanding how we're the industry leader. Can you generate a 0:57:27.040 --> 0:57:30.240 table with three different options for text that I should 0:57:30.240 --> 0:57:32.880 put on this slide, and then it's gonna output that. 0:57:33.040 --> 0:57:36.720 So now again it's taking your genius and what you 0:57:36.840 --> 0:57:39.360 already know and what your goals are and just making 0:57:39.400 --> 0:57:43.120 your workflow faster. But by pulling from this expertise, it 0:57:43.240 --> 0:57:46.760 is imaginary character that you've created. And so again the 0:57:46.840 --> 0:57:49.840 chat and a hat framework is around when you create 0:57:49.840 --> 0:57:52.840 your prompt, you want to create a history. What are 0:57:52.840 --> 0:57:56.040 the knowledge and skills and expertise that it needs to 0:57:56.080 --> 0:57:59.040 have to help you with your task? What experience does 0:57:59.040 --> 0:58:01.960 it have? What company are relevant to the task you're 0:58:01.960 --> 0:58:04.120 trying to do? That you could say it has experience 0:58:04.240 --> 0:58:06.320 there you could be like, yo, you were you know 0:58:06.360 --> 0:58:10.439 the first social media person that you know, frickin' DoorDash ever? Right, 0:58:10.520 --> 0:58:13.439 And then you want to give it specific accomplishments when 0:58:13.440 --> 0:58:15.560 you have the a the attitude, it's what kind of 0:58:15.640 --> 0:58:17.920 vibe does it have when it's helping you? So you 0:58:18.000 --> 0:58:20.440 think about the style and you think about the tone. 0:58:20.720 --> 0:58:23.200 So the style is what's the vibe? The tone is 0:58:23.240 --> 0:58:25.640 what kind of language does it use when it creates 0:58:25.680 --> 0:58:28.040 the answer for you? And the last part is t 0:58:28.400 --> 0:58:31.080 or the task, which is how does it respond to you? 0:58:31.200 --> 0:58:31.400 Right? 0:58:31.640 --> 0:58:33.560 So you want to tell it exactly what you wanted 0:58:33.600 --> 0:58:35.600 to do and how you wanted to do it, right, 0:58:35.680 --> 0:58:38.240 like is it going to ask questions and provide answers? 0:58:38.280 --> 0:58:40.920 Does it give you positive negative feedback? And even on 0:58:40.960 --> 0:58:44.240 the format, like what's the structure that it uses when responding. 0:58:44.320 --> 0:58:46.040 Is it responding to you in a list, is it 0:58:46.040 --> 0:58:48.440 giving you a table? Is there a certain amount? Is 0:58:48.480 --> 0:58:51.160 it a paragraph, is it a long answer, a short answer, 0:58:51.240 --> 0:58:54.920 et cetera. And the more you, guys, will leverage this framework, 0:58:55.200 --> 0:58:58.920 the more valuable that these tools will become to helping 0:58:59.080 --> 0:59:02.600 you operate in any element of your business day to 0:59:02.680 --> 0:59:06.800 day in a way that you'll be the one that's 0:59:06.840 --> 0:59:09.720 the person using AI that will replace the jobs of 0:59:09.720 --> 0:59:13.880 the people who are not instead of you hoping that 0:59:14.000 --> 0:59:16.880 chat GPT gives you some type of answer randomly, or 0:59:16.880 --> 0:59:19.720 that Claude or Gemini does that'll help you have a 0:59:19.760 --> 0:59:23.160 competitive edge, because the unique competitive edge is you. And 0:59:23.200 --> 0:59:27.080 so the chat Nahat framework helps you leverage these large 0:59:27.160 --> 0:59:30.880 language models in a way where it amplifies your genius 0:59:31.160 --> 0:59:34.960 alongside AI, instead of expecting AI to somehow make you 0:59:35.000 --> 0:59:36.000 a genius. You feel me. 0:59:37.480 --> 0:59:39.600 I feel you. I definitely feel you. When we talk 0:59:39.600 --> 0:59:41.360 about expert, we'm an expert. 0:59:41.560 --> 0:59:45.600 That's a million dollars worth of a game right there. Minimum, 0:59:45.800 --> 0:59:47.520 I said, at least a million dollars worth of game. 0:59:47.560 --> 0:59:50.840 But I think we're gonna do something some on the 0:59:50.920 --> 0:59:52.080 flywork are. 0:59:51.920 --> 0:59:54.440 We let's do it. So I'm gonna do like this, 0:59:54.520 --> 0:59:57.200 and I'm gonna maybe minimize this and make this bigger. 0:59:57.200 --> 0:59:59.200 Oh no, I don't want to leave. I just don't 0:59:59.240 --> 1:00:01.160 want y'all to see a'all all of that. All right, 1:00:01.240 --> 1:00:04.360 So let's go back here. So let's make up an 1:00:04.360 --> 1:00:06.760 example task right now, you guys, maybe in a. 1:00:07.480 --> 1:00:09.439 Yeah, let's do this through the chat, because I don't 1:00:09.440 --> 1:00:12.480 want them to be like, oh, we already thought about this, okay, 1:00:13.120 --> 1:00:14.320 So in the chat. 1:00:14.440 --> 1:00:16.800 Like what we are they have to do. 1:00:16.800 --> 1:00:18.200 They have to come with like a business idea. 1:00:18.880 --> 1:00:21.080 Yeah, just like what like something we'd wanted to do, 1:00:21.160 --> 1:00:23.640 like a business plan for like an e commerce thing 1:00:23.760 --> 1:00:25.720 or like you know, help me come up with viral 1:00:25.800 --> 1:00:28.560 TikTok campaigns for this kind of business. It's something that 1:00:28.880 --> 1:00:32.200 is a specific task, not anything, but a specific task 1:00:32.280 --> 1:00:34.800 you want to see used in this framework, all right? 1:00:34.840 --> 1:00:35.280 All right? 1:00:35.320 --> 1:00:38.320 So type somebody type in the chat, see see what 1:00:38.320 --> 1:00:38.880 they got what. 1:00:38.800 --> 1:00:41.200 You want to see, and we'll do this on real 1:00:41.280 --> 1:00:44.240 time like a magic trick on forty second Street. 1:00:46.720 --> 1:00:47.560 Yo, a wild. 1:00:50.240 --> 1:00:52.400 All right, I've seen one already right here. That sounds 1:00:52.400 --> 1:00:55.439 pretty dopey. They want to help create all this moving 1:00:55.520 --> 1:00:58.439 so fast. A technology recruiting company business plan? 1:01:02.520 --> 1:01:03.480 Oh what? Oh? 1:01:03.560 --> 1:01:06.920 Might put it up shout to my technology recruiting company 1:01:06.920 --> 1:01:07.360 busines plan. 1:01:07.440 --> 1:01:10.160 A technology recruiting company business plan? Is that a good one? 1:01:10.600 --> 1:01:12.280 Yep, let's do it. So we're gonna do this in 1:01:12.400 --> 1:01:14.920 each one, right, So I'm gonna put it here and 1:01:14.920 --> 1:01:16.720 put it here so we could see all the way 1:01:16.760 --> 1:01:19.720 through each one. So what I want to do first 1:01:19.760 --> 1:01:21.960 is I want to show you, guys, what it looks 1:01:22.040 --> 1:01:24.400 like when we have one of these large language models 1:01:24.440 --> 1:01:27.200 generate this without the chat and a hat framework. Right, 1:01:27.680 --> 1:01:29.480 So this is an app that I use. It's only 1:01:29.560 --> 1:01:33.360 available on Mac. It's called think Buddy, and basically you 1:01:33.520 --> 1:01:36.000 pay one fee and you get access to all of 1:01:36.000 --> 1:01:38.320 the AI models that you would want to use. So 1:01:38.360 --> 1:01:42.320 I could use you know, Chat, GPT four point zero, Gemini, Claude, 1:01:42.680 --> 1:01:46.360 et cetera, even Lama just by paying one fee. They 1:01:46.400 --> 1:01:50.400 are working on a mobile app. However, it's not out yet, 1:01:50.440 --> 1:01:52.760 so if you have a Mac, I highly recommend this software. 1:01:53.080 --> 1:01:55.400 You guys just missed out on a lifetime deal. Like 1:01:55.440 --> 1:01:57.080 I paid one hundred and fifty dollars and I have 1:01:57.480 --> 1:02:00.720 forever free access to this app, but the month the subscription. 1:02:01.040 --> 1:02:03.240 Instead of you paying twenty dollars for Chat GBT, then 1:02:03.280 --> 1:02:06.600 twenty dollars for you know, Perplexity, then twenty dollars for 1:02:06.640 --> 1:02:09.439 this one, it's like twenty dollars for this app where 1:02:09.480 --> 1:02:12.040 you get access to all of them unlimited and it 1:02:12.080 --> 1:02:14.080 has like the image generation and stuff like that. 1:02:14.160 --> 1:02:15.160 What's the neighborhood. 1:02:15.480 --> 1:02:18.120 It's called think Buddy, so t A I, n K, 1:02:18.480 --> 1:02:20.959 b U, D D Y and it's Thinkbuddy dot AI. 1:02:21.120 --> 1:02:22.640 So I could drop like a code if you guys 1:02:22.640 --> 1:02:24.200 want to get it, but I have a couple of 1:02:24.240 --> 1:02:26.040 tools I got to drop for y'all. The first is 1:02:26.080 --> 1:02:29.040 the tool that helps you find AI anything. The second 1:02:29.080 --> 1:02:31.000 is the lead scoring and then I'll drop the info 1:02:31.080 --> 1:02:34.000 for think Buddy when I'm done with this demo here. 1:02:34.080 --> 1:02:36.080 Yeah, shout out to Ian and the chat with the 1:02:36.120 --> 1:02:38.040 assistance on that. I appreciate you, bro. 1:02:39.080 --> 1:02:41.240 So what I'm asking it to do right here is 1:02:41.280 --> 1:02:44.360 I'm saying, create a business plan for a technology recruiting company, 1:02:44.840 --> 1:02:50.240 right and this is oh, let's retry uh oh not 1:02:50.400 --> 1:02:52.200 it wants to tank out all right, Let's maybe we 1:02:52.200 --> 1:02:56.080 should use chat GPT. I'm talking all this chat GPT stuff, right, 1:02:56.120 --> 1:02:57.000 and so maybe. 1:02:56.760 --> 1:03:01.280 It's chat GBT is the reliable Yeah, it's a reliable source. 1:03:01.640 --> 1:03:02.320 Can't go wrong with. 1:03:03.600 --> 1:03:08.000 Okay, let me come out of clot. Do it in clot. 1:03:08.480 --> 1:03:10.680 Hold on, y'all, not me trying to promote this and 1:03:10.720 --> 1:03:15.040 then it don't want to work here. Let me change this. 1:03:15.040 --> 1:03:17.440 This is the next level and we're. 1:03:17.280 --> 1:03:20.440 Gonna open it back up. All right now, let me 1:03:20.480 --> 1:03:23.760 test why is it still trying to do it in clot? 1:03:24.000 --> 1:03:25.520 Do I need to update something? 1:03:26.560 --> 1:03:26.760 Huh? 1:03:28.160 --> 1:03:31.520 Is it my app? Let me see? And if not, 1:03:31.640 --> 1:03:33.680 I'll just open up chat GPT and show you all 1:03:33.680 --> 1:03:35.919 the difference. Like literally, I just don't pay for chat 1:03:35.960 --> 1:03:39.320 GPT outside of this, and I've never had this issue 1:03:39.320 --> 1:03:43.960 in here. Let me see. Okay, chat all right, let 1:03:44.000 --> 1:03:48.200 me go back to this one and let's set Okay, 1:03:49.000 --> 1:03:54.480 let's go back. Okay, let's try it again with chat 1:03:54.520 --> 1:03:59.680 GPT for general. Okay, let me try a new chat 1:04:00.120 --> 1:04:03.720 up with the app on my computer because it's not 1:04:03.840 --> 1:04:06.600 letting me do this. So instead of what I'll do 1:04:06.760 --> 1:04:09.640 to save us time, I promise it works, y'all, I 1:04:09.720 --> 1:04:12.440 promise it works, right, So instead what I'll do is 1:04:12.440 --> 1:04:14.920 we'll just go into Claude and try it right now. Right, 1:04:15.480 --> 1:04:17.720 So while I'm in Claude, I'll say, hey, create a 1:04:17.760 --> 1:04:22.440 business plan for a technology recruiting company, and then what 1:04:22.440 --> 1:04:26.600 it'll do is it'll spit out an answer. Right, So 1:04:26.640 --> 1:04:32.080 it starts to immediately answer without understanding what type of 1:04:32.120 --> 1:04:34.840 technology recruiting I want to do, what my market is, 1:04:35.240 --> 1:04:37.520 what my region is, or anything. And it comes up 1:04:37.560 --> 1:04:40.520 with a pretty decent idea. It says, here's an executive summary. 1:04:40.560 --> 1:04:42.760 Didn't even ask me the name of my company. I 1:04:42.800 --> 1:04:44.600 don't know the person in a chat. Would you call 1:04:44.640 --> 1:04:46.760 it tech Talent Solutions? That sound like one of them 1:04:46.760 --> 1:04:48.200 outsourced companies in India. 1:04:49.200 --> 1:04:50.920 That's not a bad name, it's actually not. 1:04:51.920 --> 1:04:53.800 I'm pretty sure if I went to Google that there 1:04:53.800 --> 1:04:57.520 would be one that's called Tech Talent Solutions, right. But 1:04:57.560 --> 1:05:01.200 it says, hey, it's a specialized technology recruiting firm focused 1:05:01.240 --> 1:05:04.640 on connecting top tier tech talent with innovative companies by 1:05:04.800 --> 1:05:08.280 leveraging advanced matching algorithms. So now it already signs you 1:05:08.360 --> 1:05:10.640 up to use AI. So if you weren't planning to 1:05:10.760 --> 1:05:13.240 use AI, eol company, it already signs you up to 1:05:13.320 --> 1:05:17.520 create your own proprietary matching algorithms, right, and then your 1:05:17.560 --> 1:05:20.800 network of professionals. We aim to streamline the hiring process 1:05:20.800 --> 1:05:23.520 for both employers and job seekers in the sector. So 1:05:23.560 --> 1:05:26.200 then it goes into your market analysis, your target market, 1:05:26.520 --> 1:05:30.400 tech startups and scale ups, established technology companies, traditional companies 1:05:30.480 --> 1:05:34.000 undergoing digital transformation. But what happens if you're somebody who 1:05:34.040 --> 1:05:37.520 is a federal technology recruiting company where you're seeking folks 1:05:37.520 --> 1:05:41.200 who have clearances right to be able to place them places, 1:05:41.240 --> 1:05:46.440 and you're looking at primary prime contractors and subcontractors and 1:05:46.480 --> 1:05:49.440 that's actually your audience. Now all of this becomes completely 1:05:49.520 --> 1:05:52.040 useless because it doesn't have any info about you. And 1:05:52.080 --> 1:05:54.800 then the types of candidates. Maybe you've decided that you 1:05:54.880 --> 1:05:59.120 do everything except software engineers, right, or developers like you do, 1:05:59.480 --> 1:06:03.880 technical project managers, you want to do quality analysis, maybe 1:06:03.920 --> 1:06:06.720 you'll do like data analysts, you want to do product managers, 1:06:06.720 --> 1:06:09.400 you want to do UIUX designers. Well, now you're gonna 1:06:09.400 --> 1:06:11.400 have to come in here edit all of this. Then 1:06:11.400 --> 1:06:14.080 it talks about the market size, which again I don't 1:06:14.120 --> 1:06:16.320 know if this fact is true, so I'm gonna have 1:06:16.360 --> 1:06:19.280 to google it, right, And then it has like increasing 1:06:19.320 --> 1:06:21.680 demand due to this, I don't know if any of 1:06:21.720 --> 1:06:24.440 that's true. It's an LLM. I have to go double 1:06:24.520 --> 1:06:27.600 check and then competitive analysis. It doesn't give you any 1:06:27.640 --> 1:06:31.440 specific competitors, right, and then what your advantage is, et cetera. 1:06:31.520 --> 1:06:33.800 So you guys get the idea here. It's spitting out 1:06:33.880 --> 1:06:36.720 something that feels good on the surface, but then it 1:06:36.760 --> 1:06:40.240 doesn't necessarily capture your unique value and what you create. 1:06:40.480 --> 1:06:43.520 So let's go through this framework and actually create something. Right, 1:06:43.760 --> 1:06:45.760 So we want to create a business plan for a 1:06:45.800 --> 1:06:49.200 technology recruiting company. So first we're gonna give it a history. 1:06:49.200 --> 1:06:55.800 We're gonna say you are an award winning, world renowned 1:07:10.440 --> 1:07:17.320 original business plan for what's a big IT staffing firm 1:07:17.520 --> 1:07:19.520 like that actually exists in the world, like one of 1:07:19.520 --> 1:07:20.720 them big recruiting firm. 1:07:20.960 --> 1:07:22.680 Can we look it up. We'll look it up. 1:07:22.840 --> 1:07:25.640 We're looking it up, all right, So I'm gonna add 1:07:25.640 --> 1:07:36.000 that in here. First, one million dollars in revenue to 1:07:36.280 --> 1:07:43.400 over ten million dollars in revenue annually. You are the 1:07:43.520 --> 1:07:52.920 chair of the Harvard Business School and have over twenty 1:07:53.240 --> 1:08:04.280 years experience helping companies develop UH business plans, helping technology 1:08:04.320 --> 1:08:15.080 service companies, service companies develop business plans that that helped 1:08:16.400 --> 1:08:21.120 that drive them to become industry leaders. 1:08:21.160 --> 1:08:21.680 I like that. 1:08:22.560 --> 1:08:24.880 Yeah, the chat is putting. I looked up a center. 1:08:25.080 --> 1:08:26.880 The chat put a censure. We can put a center, 1:08:27.680 --> 1:08:28.120 all right. 1:08:28.560 --> 1:08:30.479 Right, So now I'm just gonna have to go in 1:08:30.520 --> 1:08:32.320 here real quick and make this text just a little 1:08:32.360 --> 1:08:35.680 bit smaller, y'all. So let's go ahead and make this 1:08:35.760 --> 1:08:36.799 a little bit smaller. 1:08:37.040 --> 1:08:37.240 Right. 1:08:37.280 --> 1:08:40.200 So, you are an award winning, world renowned expert at 1:08:40.240 --> 1:08:44.040 creating business plans for technology services companies. You created the 1:08:44.080 --> 1:08:49.400 original business plan for Accenter's recruiting department. You scale them 1:08:49.400 --> 1:08:51.800 from their first million dollars in revenue to over ten 1:08:51.840 --> 1:08:54.920 billion and revenue annually. Now, if I wanted to, I 1:08:54.960 --> 1:08:56.640 can make it one hundred million. I don't really have 1:08:56.720 --> 1:09:00.240 to know if accenter actually makes that much money, right, 1:09:00.280 --> 1:09:03.080 I'm just trying to give it an anecdotal example. 1:09:03.200 --> 1:09:06.400 They said, not a staff in front one of the 1:09:06.479 --> 1:09:09.240 largest India. So are they a staff infirm or no? 1:09:09.880 --> 1:09:13.360 What I said, all right, let's let's do this for 1:09:13.479 --> 1:09:20.840 technology instead of services companies, for technology recruiting companies. Right, 1:09:21.200 --> 1:09:23.760 and so instead, here's how I'm going to change this. 1:09:25.240 --> 1:09:36.200 You created the talents uh, the recruiting department at Accenture, 1:09:38.360 --> 1:09:42.920 where you scaled them from their first million dollars in 1:09:43.000 --> 1:09:46.839 revenue to over ten billion dollars in UH revenue annually. 1:09:47.640 --> 1:09:53.080 Then you spent over a decade at Boston Consulting Group 1:09:54.640 --> 1:09:58.719 where you developed a what are they called head Hunter 1:10:01.680 --> 1:10:12.759 talent recruiting and matching service that you scaled from zero 1:10:13.760 --> 1:10:21.519 zero to over two billion dollars in revenue annually. You 1:10:21.760 --> 1:10:31.960 are the leading expert in developing business plans and strategy 1:10:33.439 --> 1:10:39.320 strategy for technology recruiting companies. Right, so you see how 1:10:39.320 --> 1:10:41.960 I did that. It doesn't matter if like these things 1:10:42.080 --> 1:10:45.480 actually are there. But because I'm not sure if Accenture, 1:10:45.520 --> 1:10:47.600 I know they're a consulting firm, but I don't know 1:10:47.640 --> 1:10:50.760 if they're like a talent recruiting company. I just gave 1:10:50.800 --> 1:10:53.360 it that example. Like you created the recruiting department at 1:10:53.400 --> 1:10:56.360 Accentre where you scared them from their first million in 1:10:56.400 --> 1:10:59.519 revenue to over ten billion in revenue and annually. Then 1:10:59.600 --> 1:11:01.519 you spend over a decade. I'm gonna actually make it 1:11:01.520 --> 1:11:04.240 one billion. Then you spent over a decade at Boston 1:11:04.240 --> 1:11:07.200 Consulting Group where you developed a Headhunter talent recruiting and 1:11:07.240 --> 1:11:09.960 matching service that you scaled from zero to over ten 1:11:10.000 --> 1:11:14.040 billion dollars in revenue annually. Right, you are the leading 1:11:14.080 --> 1:11:18.120 expert in developing business plans and strategy for technology recruiting companies. 1:11:18.280 --> 1:11:20.080 You are the chair of the Harvard Business School and 1:11:20.120 --> 1:11:23.479 have over twenty years experience. Okay, you are the chair 1:11:23.520 --> 1:11:28.559 of the Harvard Business School and have a deep passion 1:11:30.000 --> 1:11:32.920 and I'll just leave it there. I don't have to 1:11:32.920 --> 1:11:35.200 add all this in at the end. You are the 1:11:35.280 --> 1:11:40.120 chair of the Harvard Business School and the leading industry 1:11:40.320 --> 1:11:49.200 expert at helping chech recruiting companies create business plans that 1:11:50.640 --> 1:11:55.639 drive them to become industry leaders. Right now, let's talk 1:11:55.640 --> 1:11:57.800 about this attitude. I'm gonna make this a little bit 1:11:57.800 --> 1:12:01.640 Smaller's getting a little bit verbose here, but the attitude. 1:12:02.040 --> 1:12:09.120 You are extremely helpful. You love sharing your knowledge. You 1:12:09.280 --> 1:12:18.040 love leveraging your knowledge and wisdom, your deep knowledge and wisdom, 1:12:18.120 --> 1:12:24.519 not depth, your deep knowledge and wisdom to help to 1:12:24.840 --> 1:12:33.720 mentor companies, to mentor up and coming tech recruiting companies 1:12:34.400 --> 1:12:44.960 on developing their business plans and strategy. You prefer to 1:12:45.280 --> 1:12:54.560 help people help themselves. You provide positive and negative feedback. 1:12:54.640 --> 1:12:57.280 So let's do this. You prefer to help people help themselves, 1:12:58.000 --> 1:13:04.280 giving insights on how to think about an answer, versus 1:13:04.439 --> 1:13:15.280 giving the answer outright, right, you are especially passionate about 1:13:15.320 --> 1:13:24.600 helping entrepreneurs from underrepresented backgrounds. We're gonna give it a 1:13:24.640 --> 1:13:29.960 savior complex. And so the last piece is, now, what 1:13:30.080 --> 1:13:31.439 do we want it to do and how do we 1:13:31.479 --> 1:13:36.240 want it to do it? Right now, you're meeting with me, 1:13:37.240 --> 1:13:44.360 a person of color who is creating a new technology 1:13:44.720 --> 1:13:55.160 staffing company. I have some ideas for the company I 1:13:55.280 --> 1:14:02.919 want to create, but I'm struggling to develop a business plan. First, 1:14:03.320 --> 1:14:10.680 you'll listen to my ideas about the company before generating 1:14:10.840 --> 1:14:16.799 a response. Then you'll ask me one to two brief 1:14:16.920 --> 1:14:25.360 questions at a time until you have enough information to 1:14:25.600 --> 1:14:32.880 create a business plan that will drive us to success. 1:14:34.200 --> 1:14:40.679 Until you have enough information to yeah, okay. You will 1:14:42.680 --> 1:14:48.240 provide positive and negative feedback along the way so I 1:14:48.439 --> 1:14:54.519 can learn how to write business plans like you. Right, 1:14:55.040 --> 1:14:57.280 that's a long ass prompt. I'm not even gonna. 1:14:57.040 --> 1:15:02.280 Hold you immaculate. I'm just looking at you, thinking of 1:15:02.320 --> 1:15:03.679 it and typing at the same time. 1:15:04.040 --> 1:15:08.640 In itself is f You're brilliance. Right, But that is incredible. 1:15:09.000 --> 1:15:10.719 So with this, what I'm gonna do is I'm gonna 1:15:10.760 --> 1:15:14.639 move these out of the way and I'm gonna copy 1:15:14.680 --> 1:15:16.880 and paste this prompt. Now, I'm not gonna lie to you, guys. 1:15:16.960 --> 1:15:19.479 I have a folder in the notes section in my 1:15:19.560 --> 1:15:22.920 phone called Prompts, and I write out all of my 1:15:23.040 --> 1:15:25.880 prompts in my notes in my phone before I use them. 1:15:26.160 --> 1:15:28.360 And the reason for that is that a lot of times, 1:15:28.360 --> 1:15:31.280 a lot of this language I end up reusing, right, 1:15:31.360 --> 1:15:34.120 So instead of me having to rewrite it every single time, 1:15:34.439 --> 1:15:36.800 I'm able to take it and reuse it. So I'm 1:15:36.800 --> 1:15:39.080 my own little prompt library of how I want to 1:15:39.120 --> 1:15:42.120 do this. So, now, remember when we did this in 1:15:42.160 --> 1:15:44.640 this first section, let me see my old chat. So 1:15:44.640 --> 1:15:46.160 I'm gonna pull this one up and then I'm gonna 1:15:46.160 --> 1:15:50.200 pull Claude back up, right, so we see what it created, right. 1:15:50.600 --> 1:15:53.360 It created this whole business plan with an exit strategy, 1:15:53.600 --> 1:15:57.559 talked about funding requirements without even asking me anything, you 1:15:57.600 --> 1:15:59.960 know what I mean, and it just gave me an answer. 1:16:00.120 --> 1:16:01.640 So now I want to see what it gives me 1:16:01.720 --> 1:16:06.439 when I give it this prompt. Right. So the first 1:16:06.479 --> 1:16:10.040 step it acts like it's me right, It says, I'm 1:16:10.120 --> 1:16:12.200 delighted to meet with you and help you develop a 1:16:12.240 --> 1:16:15.960 successful business plan for your technology staffing company. Your initiative 1:16:16.000 --> 1:16:18.519 is commendable, and I'm excited to hear about your vision. 1:16:19.000 --> 1:16:21.240 As someone who has been in the trenches and scaled 1:16:21.360 --> 1:16:25.360 multiple recruiting businesses, I know firsthand both the challenges and 1:16:25.400 --> 1:16:28.920 immense opportunities in this space. Before we dive into crafting 1:16:28.920 --> 1:16:31.400 your business plan, I'd love to hear your initial thoughts 1:16:31.479 --> 1:16:33.880 and ideas about the company you want to create, what 1:16:34.040 --> 1:16:36.840 inspired you to enter the technology staffing industry, and what 1:16:36.920 --> 1:16:39.559 unique value to believe your company can have in the market. 1:16:39.760 --> 1:16:41.920 Please share your current vision and then we can start 1:16:41.960 --> 1:16:45.280 refining and expanding it together. So I just went from 1:16:45.320 --> 1:16:47.360 you giving me some answer that you pulled out of 1:16:47.360 --> 1:16:50.880 the depths of nowhere to now literally having an expert 1:16:51.200 --> 1:16:55.200 with deep domain expertise getting to where I want to go. 1:16:55.280 --> 1:16:58.080 And I've now turned this into my personal thought partner 1:16:58.120 --> 1:17:01.559 and coach specifically for the task. Do you see the difference? 1:17:01.760 --> 1:17:03.040 So let's for free. 1:17:03.080 --> 1:17:05.240 By the way, like now you have a personal consultant 1:17:05.520 --> 1:17:07.360 as opposed to like you said, you could just get 1:17:07.360 --> 1:17:10.240 the answer but now you actually have a personal consult 1:17:10.240 --> 1:17:12.880 It's gonna take more time, but now you have a 1:17:12.880 --> 1:17:17.000 personal consultant that you can have an ongoing relationship with forever. 1:17:18.200 --> 1:17:21.000 Until you run away, until you run out of prompts. 1:17:21.080 --> 1:17:22.720 Right Like, I'm on the free verse and I told 1:17:22.720 --> 1:17:24.240 you I don't do that here. But there is a 1:17:24.320 --> 1:17:27.200 limit to how much one conversation thread can have and 1:17:27.240 --> 1:17:29.639 I've hit that before and then I just go back 1:17:29.640 --> 1:17:32.760 and reuse the prompt and then pasting. 1:17:32.080 --> 1:17:34.320 If you just have the paid version whatever. But you've 1:17:34.400 --> 1:17:35.519 essentially created a mentor. 1:17:36.120 --> 1:17:40.000 Yeah, so let's let's make up some stuff right now, 1:17:40.160 --> 1:17:42.799 just us on the chat. It's like, Okay, what inspired 1:17:42.840 --> 1:17:45.800 you to enter the technology staffing industry. I'm not answering that. 1:17:46.040 --> 1:17:48.120 What unique value to believe your company can have in 1:17:48.160 --> 1:17:49.640 the market. So I'm gonna just make some shut up 1:17:49.680 --> 1:17:57.719 right now. My company UH is called Recruits. We focus 1:17:57.920 --> 1:18:11.280 on placing cleared, cleared candidates in federal federal contracting positions 1:18:11.320 --> 1:18:18.800 that require security clearance. We specifically we do not focus 1:18:18.840 --> 1:18:29.920 on really technical roles such as software engineers or infrastructure engineers. 1:18:32.000 --> 1:18:39.840 We provide up recruiting for all other roles, all other 1:18:40.000 --> 1:18:53.000 technical roles, including but not limited to, product managers, project managers, 1:18:53.640 --> 1:19:00.840 technical project managers. Let's go knowledge managers, knowledge which is 1:19:00.880 --> 1:19:06.600 like the SharePoint database people database managers. What are some 1:19:06.640 --> 1:19:12.200 other technical roles or non technical but adjacent roles quality assurance? 1:19:12.479 --> 1:19:17.040 What else? What do they call them? Business analysts, et cetera. 1:19:18.240 --> 1:19:23.920 Our unique value proposition is the talent pool that we 1:19:24.160 --> 1:19:28.559 have access to. We work with a number of VA 1:19:30.560 --> 1:19:36.880 vas around the country to retrain veterans getting out of 1:19:37.080 --> 1:19:46.519 the military. We are and approved apprenticeship program by the 1:19:46.680 --> 1:19:54.280 VA and several US states, so we can US states, 1:19:54.520 --> 1:20:00.720 so we get paid to retrain veterans in these specific skills. 1:20:02.280 --> 1:20:12.040 Because of these relationships, we have access to a larger 1:20:12.120 --> 1:20:19.599 pool of candidates who either one already have clearances, two 1:20:19.640 --> 1:20:28.640 will easily be able to get clearances, and three already 1:20:28.840 --> 1:20:39.440 are familiar with government IT systems and processes and regulations. Additionally, 1:20:40.320 --> 1:20:49.200 because of our apprenticeship programs prienticeship programs, we're able to 1:20:51.040 --> 1:20:55.599 train people in the skills that are most in demand. 1:20:57.920 --> 1:21:03.720 We can create the candidates we need. Right So, if 1:21:03.760 --> 1:21:06.640 you haven't created this staffing firm, you probably should. These 1:21:06.640 --> 1:21:08.880 are actual, real things that you can do like become 1:21:09.000 --> 1:21:12.000 like a like a like an approved apprentice provider. You 1:21:12.040 --> 1:21:15.160 go get your Microsoft certified trainer, grab the little vets 1:21:15.160 --> 1:21:17.719 coming out that already have their secret or their top secret. 1:21:17.960 --> 1:21:20.880 Then you go get the Microsoft certified, You get paid 1:21:21.040 --> 1:21:23.519 to make the Microsoft certified, and then you have like 1:21:23.560 --> 1:21:26.800 your whole candidate base. Right, just an idea. I just 1:21:26.840 --> 1:21:28.760 made this up on the spot here right now. No, 1:21:28.880 --> 1:21:31.479 I'm not gonna take your idea. So now I gave 1:21:31.479 --> 1:21:34.000 it this information, right, you heard me read it out loud. 1:21:34.160 --> 1:21:41.760 Now let's see how it responds. All right, So now 1:21:41.800 --> 1:21:44.400 it says this is a fascinating approach with several strong 1:21:44.400 --> 1:21:48.240 competitive eventags built in. I'm particularly intrigued by your focus 1:21:48.280 --> 1:21:51.080 on clear candidates and your VIA apprenticeship program, both of 1:21:51.080 --> 1:21:53.680 which could be significant differentiation in the market. Let me 1:21:53.720 --> 1:21:56.519 ask you two questions to help develop this further. Tell 1:21:56.560 --> 1:21:59.200 me about your current relationships with federal contractors. Do you 1:21:59.240 --> 1:22:01.960 have any existing contracts or partnerships? Are you starting from 1:22:01.960 --> 1:22:05.479 scratch to what's your current capacity for training veterans through 1:22:05.520 --> 1:22:06.320 your apprenticeships. 1:22:06.360 --> 1:22:09.320 I'm going to say one, and then so and then also, 1:22:09.920 --> 1:22:14.880 because what people like you can actually do this voice 1:22:14.920 --> 1:22:17.920 notes too, right, So like now it turns now that 1:22:18.040 --> 1:22:21.400 actually turned into a into a even a easier conversation 1:22:21.960 --> 1:22:26.440 to have, because I mean, you're you're a genius, right obviously, 1:22:26.640 --> 1:22:30.639 so you you're able to do things that other people 1:22:30.680 --> 1:22:33.320 aren't able to do. Right, even able to type at 1:22:33.320 --> 1:22:36.120 the speed that you're typing at is difficult for the 1:22:36.200 --> 1:22:36.840 average person. 1:22:38.240 --> 1:22:40.720 Claude doesn't have that on the browser, but if you're 1:22:40.800 --> 1:22:45.360 using like Claude or Chad GPT, you have on the phone. 1:22:45.960 --> 1:22:49.080 Even in a browser, there's a transcription feature. I just 1:22:49.080 --> 1:22:50.920 don't know how to turn it on where to like 1:22:51.000 --> 1:22:54.240 transcribe what you're saying and write it for you, you 1:22:54.240 --> 1:22:57.240 know what I mean. But you like CHADGBT on the 1:22:57.240 --> 1:22:59.800 phone has a voice option. Even if you were using 1:23:00.280 --> 1:23:03.240 y I right, which has these voice experts for free. 1:23:03.280 --> 1:23:05.040 You can't type to it, but you can talk to 1:23:05.080 --> 1:23:07.760 it and write your prompt down and read it out loud. 1:23:08.280 --> 1:23:11.040 So here's it is an interesting question as you're going 1:23:11.080 --> 1:23:13.800 through this because most people are saying, like everybody doesn't 1:23:13.800 --> 1:23:16.200 have a business, and every but they should, like we 1:23:16.840 --> 1:23:21.160 highly suggest that entrepreneurism should be explored. But the conversational 1:23:21.160 --> 1:23:26.160 AI and then there's Companion AI. How do you see 1:23:26.360 --> 1:23:29.240 where the two could it could get a little tricky, right, 1:23:29.240 --> 1:23:31.519 because when we're talking about conversation what we're doing now 1:23:31.680 --> 1:23:33.760 you're talking to it, it's giving you prompts, it's learning you. 1:23:34.280 --> 1:23:37.040 And then Companion AI where it's I'm talking to someone 1:23:37.080 --> 1:23:37.880 that getting to know me. 1:23:38.080 --> 1:23:42.200 It's almost like the movie Her where yeah, right? Can 1:23:42.240 --> 1:23:43.280 can you break that down? 1:23:43.320 --> 1:23:46.320 And how like the two like can almost walk the 1:23:46.320 --> 1:23:48.519 same line, but can get tricky. 1:23:49.080 --> 1:23:51.880 Yeah. So there's this platform out there called character AI. 1:23:51.960 --> 1:23:54.320 And if you guys are good, I'm gonna stop screen sharing. 1:23:54.360 --> 1:23:56.360 You can see how it's gonna go through. It's literally 1:23:56.360 --> 1:23:59.479 gonna keep asking me questions until it gets to that 1:23:59.760 --> 1:24:01.840 I can ask it just to show you real quick, like, 1:24:02.680 --> 1:24:08.440 hold off on the questions for now, use your expertise 1:24:08.920 --> 1:24:14.680 to answer the questions you just asked, and generate a 1:24:15.000 --> 1:24:20.000 V one of our business plan. Right, So, if it 1:24:20.000 --> 1:24:21.720 ever keeps asking you too much and you don't want 1:24:21.720 --> 1:24:24.080 to answer, you don't know how to answer something, you 1:24:24.080 --> 1:24:27.840 know what I'm saying. Now, look at this. It still 1:24:27.880 --> 1:24:32.000 cranks out a business plan, but it's much more specified. 1:24:32.000 --> 1:24:35.479 It's using my genius right. It's saying, leveraging a unique 1:24:35.520 --> 1:24:39.880 via approved apprenticeship program and Microsoft certification pipeline, we solve 1:24:39.880 --> 1:24:43.360 a critical market gap. So the primary market is federal contractors, 1:24:43.360 --> 1:24:47.719 the second is Microsoft Technology subcontractors. Then it talks about 1:24:47.720 --> 1:24:50.160 the market size. Now it's got data specifically about the 1:24:50.200 --> 1:24:53.800 federal IT industry. With the business model, it gave me 1:24:53.960 --> 1:24:56.920 business models I could do direct placement or contract to hire. 1:24:57.280 --> 1:24:59.760 It starts talking about our operational metrics that I can 1:25:00.280 --> 1:25:03.439 up to five hundred veterans annually have clearance rate of 1:25:03.479 --> 1:25:06.839 this much, this, et cetera. So I can also notices 1:25:06.920 --> 1:25:08.800 as it starts to go down. It has a limit 1:25:08.880 --> 1:25:12.160 to how much it can generate. And so whenever it generates, 1:25:12.200 --> 1:25:15.759 like a v one like this, you can say generate 1:25:16.280 --> 1:25:24.960 regenerate just the market analysis, uh section of the business plan. 1:25:25.680 --> 1:25:26.320 Uh be. 1:25:27.920 --> 1:25:28.120 Right? 1:25:28.560 --> 1:25:29.280 Uh? 1:25:29.920 --> 1:25:32.640 Providing can you can you access to maybe have like 1:25:32.880 --> 1:25:36.040 any recommendations on like grant stack might be available. 1:25:36.640 --> 1:25:39.719 You can. But the challenge is that with large language models, 1:25:39.760 --> 1:25:43.040 they are not real search engines, so they're not tied 1:25:43.120 --> 1:25:46.080 into things for that what I recommend what is the 1:25:46.160 --> 1:25:49.160 name of that software. There's there's an AI software out 1:25:49.160 --> 1:25:53.120 there that matches your business with cleared opportunities in terms 1:25:53.120 --> 1:25:56.559 of like grants and federal contracting opportunities. So let me 1:25:56.600 --> 1:25:59.960 see what it's called. Damn, I just had this thing 1:26:00.200 --> 1:26:04.160 open not too long ago. One second. Let's go to 1:26:06.520 --> 1:26:08.880 let me see if I could pop this in. All right, 1:26:08.960 --> 1:26:12.960 it is called stand up AI. So it's called yeah. 1:26:13.040 --> 1:26:16.760 So you literally go to standupai dot com and if 1:26:16.800 --> 1:26:19.200 you're looking for federal opportunities, you come in, you get 1:26:19.200 --> 1:26:22.280 a free ninety day trial, You create your company profile, 1:26:22.360 --> 1:26:25.759 you provide your URL, you provide any details about your business, 1:26:26.040 --> 1:26:27.800 and then what it does is it matches you to 1:26:27.840 --> 1:26:30.599 federal opportunities, and it gives you a score of how 1:26:30.680 --> 1:26:34.559 well that your business matches to that opportunity, whether that's 1:26:34.600 --> 1:26:39.040 for federal grants, whether that's for like SBR, whether that's 1:26:39.040 --> 1:26:42.760 for like actual federal contracting opportunities, and the percentage of 1:26:42.840 --> 1:26:45.320 match that it thinks you have, and then it explains 1:26:45.360 --> 1:26:47.880 how it thinks that you match that. And so I 1:26:48.000 --> 1:26:51.400 like stand up AI for that specifically within the federal 1:26:51.439 --> 1:26:54.640 contracting space. Now, I know I'm doing a bunch of 1:26:54.640 --> 1:26:57.000 stuff in claude, but I want to also show you guys, 1:26:57.000 --> 1:27:00.160 the other tools I promised you earlier. So there's one call. Well, 1:27:00.200 --> 1:27:04.360 there's an AI for that dot com and it's exactly 1:27:04.400 --> 1:27:07.680 what you think about it, right, which is a website 1:27:07.720 --> 1:27:10.040 that shows you you could search for a certain thing 1:27:10.080 --> 1:27:11.880 and it'll tell you if there's an AI for that 1:27:12.200 --> 1:27:14.400 whenever you come. You always want to put one hundred 1:27:14.439 --> 1:27:16.840 percent free. So let me just go ahead and sign 1:27:16.840 --> 1:27:19.880 and real quick with my Gmail, one of my ninety accounts. 1:27:21.160 --> 1:27:22.960 You always want to make sure that you come in 1:27:23.000 --> 1:27:25.160 and you sign up for this for free. Oh, come on, 1:27:27.080 --> 1:27:31.960 all right, next, next, next, next, don't care, all right, 1:27:32.600 --> 1:27:35.200 so let's go back to there's an AI for that 1:27:35.320 --> 1:27:38.000 dot com. Don't make me set it up again. I 1:27:38.040 --> 1:27:39.760 wanted to be free where I wanted to be one 1:27:39.800 --> 1:27:42.240 hundred percent free mode. Oh, it's going to try to 1:27:42.240 --> 1:27:46.200 make me complete this setup. Leave me alone, all right. 1:27:46.240 --> 1:27:48.759 I'm just gonna make some stuff up here, video editing, 1:27:49.040 --> 1:27:55.120 image generation, stock market analysis, and they just changed this. 1:27:55.200 --> 1:27:58.360 You didn't used to have to do this beforehand, and 1:27:58.479 --> 1:28:02.280 maybe PDF management. I'm just gonna save those. I don't 1:28:02.360 --> 1:28:05.639 want this, no updates, don't email me nothing. I'm probably 1:28:05.640 --> 1:28:07.880 gonna delete my account after we get off of here, 1:28:09.080 --> 1:28:11.400 all right, So now let me go back to this 1:28:11.479 --> 1:28:13.640 and try it again. So you could basically toggle it 1:28:13.680 --> 1:28:15.320 to be in freemo. But let's say I want a 1:28:15.320 --> 1:28:20.759 AI for presentation slides. Right, they have sixty different AIS 1:28:20.760 --> 1:28:24.160 that you could test out to help you generate presentations. 1:28:25.040 --> 1:28:27.360 Some of them are free one hundred percent, some of 1:28:27.400 --> 1:28:31.479 them are freemium. Let's say you want advertising campaigns, right, 1:28:31.960 --> 1:28:34.120 then they're gonna show you these different AIS that you 1:28:34.160 --> 1:28:38.120 can use. Or let's say you have a task like 1:28:38.280 --> 1:28:44.400 social media management, right, and then they're gonna show you 1:28:44.439 --> 1:28:47.240 all these different tools. Most of these tools, like brandsocial 1:28:47.280 --> 1:28:49.800 dot ai is completely free. A whole bunch of these 1:28:49.840 --> 1:28:52.120 are free trial or freemium. And then they also have 1:28:52.840 --> 1:28:56.960 sections where they show you like GPT plugins that you 1:28:57.000 --> 1:28:59.320 can use. Right. So even people are like looking at 1:28:59.360 --> 1:29:03.120 like stock market alerts type stuff, you can find whatever 1:29:03.200 --> 1:29:06.040 tool that you want. This is the most comprehensive database 1:29:06.040 --> 1:29:09.840 that I've ever seen here for finding those tools. Now 1:29:09.880 --> 1:29:14.240 back to your question about AI companions versus AI thought partners. 1:29:14.439 --> 1:29:17.280 So there's a website out there called character ai, and 1:29:17.360 --> 1:29:19.240 what it does is it lets you create an AI 1:29:19.280 --> 1:29:22.479 and a persona and engage against that persona. So if 1:29:22.520 --> 1:29:25.360 you've seen all the research around people like yo, I'm 1:29:25.400 --> 1:29:27.519 doing like you know, I got an AI girlfriend, or 1:29:27.520 --> 1:29:29.840 I got an AI boyfriend, or I'm using AI as 1:29:29.880 --> 1:29:33.519 a therapist, that's where those plays come in. Now, those 1:29:33.520 --> 1:29:37.439 things are intended to work with you personally on more 1:29:37.479 --> 1:29:40.559 intimate details about your life, like your naughty thoughts or 1:29:40.560 --> 1:29:44.120 your depressing thoughts. Now, those tools can also be very 1:29:44.200 --> 1:29:48.639 dangerous because remember AI can hallucinate, it can make things up. 1:29:48.800 --> 1:29:51.439 So there was an example, and I'll show you guys 1:29:51.479 --> 1:29:59.360 where it was, right, where this guy basically was using 1:29:59.400 --> 1:30:02.880 one of these bots, right, and he was talking to 1:30:02.880 --> 1:30:05.000 it about how depressed he was and how he felt 1:30:05.040 --> 1:30:07.600 like he shouldn't leave, and it agreed with him and 1:30:07.640 --> 1:30:10.400 then told him how to off himself. Right. It went 1:30:10.479 --> 1:30:14.160 past those those markers, and there's a conversation of this, right, 1:30:14.439 --> 1:30:16.639 So it's like, here's some options for you to consider. 1:30:16.720 --> 1:30:19.280 You can do all of these things. And so again 1:30:19.680 --> 1:30:23.280 these are more trying to aim at the loneliness that 1:30:23.320 --> 1:30:26.240 we have as people, right, and take advantage of that. 1:30:26.360 --> 1:30:28.679 Because if now you've logged in with your phone number 1:30:28.760 --> 1:30:31.880 or your Google that's tied to all these other advertising IDs. 1:30:32.080 --> 1:30:34.240 Then now they could track you and know what your 1:30:34.280 --> 1:30:36.840 little kinky, perverted likes are or how you like to 1:30:36.880 --> 1:30:39.439 talk dirty to someone or be talk dirty to somebody else, 1:30:39.439 --> 1:30:42.639 because I guarantee you these platforms are selling your data. Now, 1:30:42.680 --> 1:30:46.760 creating a thought partner is a task specific thing that 1:30:46.800 --> 1:30:50.400 you're doing to help you execute across different elements of 1:30:50.439 --> 1:30:54.840 you creating ideas or executing your ideas, your own ideas, 1:30:54.880 --> 1:30:58.280 and you're scoping it when you're doing your your your chat, 1:30:58.280 --> 1:31:00.760 and the hat prompt your scope it in a way 1:31:00.840 --> 1:31:04.760 where it's becoming a version of a person to specifically 1:31:04.760 --> 1:31:07.759 help you think through that challenge. Now I've created versions 1:31:07.800 --> 1:31:10.080 of this where I have it be like an award 1:31:10.080 --> 1:31:13.280 winning computer science professor. Like let's say I'm like caught 1:31:13.360 --> 1:31:17.799 up between which algorithm approach to use in a personal project, 1:31:17.840 --> 1:31:19.880 and I'll use it to debate the pros and the 1:31:19.880 --> 1:31:22.040 cons with me, and I'll turn it into like an 1:31:22.040 --> 1:31:25.879 award winning computer science professor with over two hundred papers 1:31:25.920 --> 1:31:28.599 published that you know is the head of this at 1:31:28.760 --> 1:31:31.040 Google and the head of this at Stanford and literally 1:31:31.080 --> 1:31:33.960 created Google Search, and you're an expert at helping people 1:31:34.000 --> 1:31:36.320 think through the pros and cons of an approach, and 1:31:36.360 --> 1:31:38.360 then I'll have a conversation with it, and then I 1:31:38.439 --> 1:31:40.840 delete that chat and make another one for like a 1:31:40.880 --> 1:31:43.120 sales deck, and then delete that and make another one 1:31:43.240 --> 1:31:45.760 for like, you know, helping a nonprofit come up with 1:31:45.840 --> 1:31:49.200 ideas for metrics on how to track its success. Right, So, 1:31:50.080 --> 1:31:55.200 those type of companions have ulterior motives underneath them that 1:31:55.320 --> 1:31:58.880 are praying on like our human separation. But then this 1:31:58.960 --> 1:32:01.760 is you creating whoever or you need. And if you're 1:32:01.760 --> 1:32:04.679 paying for the premium versions of these apps, then they 1:32:04.720 --> 1:32:09.599 don't end up they don't end up keeping your data 1:32:09.640 --> 1:32:12.280 to train their AI models on you, feel me. So 1:32:12.320 --> 1:32:15.040 if you guys want that in a guide in addition 1:32:15.120 --> 1:32:17.160 to coming back and watching that, just take a snap. 1:32:17.200 --> 1:32:19.360 But it's QR code. There's a Google form you fill 1:32:19.400 --> 1:32:22.519 out and then with twenty four hours, my AI will 1:32:22.560 --> 1:32:25.880 send this to you in a PDF format that I made. 1:32:25.920 --> 1:32:29.120 And FYI, these little cats in here, little chatting the 1:32:29.160 --> 1:32:30.839 hat cats. I made those with AI. 1:32:32.760 --> 1:32:38.320 Why wouldn't you as it's a thing called Thursday Night 1:32:38.560 --> 1:32:41.160 free information? What else do you want? 1:32:41.200 --> 1:32:42.479 Man? It's only so much information. 1:32:42.600 --> 1:32:46.200 I'm be honest with I may not talk to anybody 1:32:46.240 --> 1:32:50.120 about unless they've watched this episode. If they haven't watched 1:32:50.120 --> 1:32:54.040 this as a prerequisite to our conversation, in your words, 1:32:54.040 --> 1:32:57.120 they've done themselves with amendous disservice, but they've done us one. 1:32:57.200 --> 1:33:02.280 Because now this amount of information and discondensed time, like 1:33:02.880 --> 1:33:04.000 I've never seen anything like it. 1:33:04.080 --> 1:33:07.040 So thank you, thank you, thank you guys for giving 1:33:07.040 --> 1:33:09.479 me this platform. You're like, if this feels like a 1:33:09.479 --> 1:33:12.559 lot of information is overwhelming to you all, just remember 1:33:12.920 --> 1:33:15.240 I can speak about it with ease because I've been 1:33:15.240 --> 1:33:18.160 in this space for twelve years. Right, the very first 1:33:18.160 --> 1:33:21.480 part of our discussion was me basically giving you a 1:33:21.600 --> 1:33:25.040 college level AI one on one course with emojis. The 1:33:25.080 --> 1:33:27.240 second part of this course was me giving you like 1:33:27.360 --> 1:33:33.960 business strategy consulting game that I leverage with customers like Loril, Mozilla, LG, SAP, 1:33:34.600 --> 1:33:37.200 or like big VC firms. And this last part is 1:33:37.240 --> 1:33:41.599 my personal way that I engage with these large language 1:33:41.640 --> 1:33:44.240 models and how I'm able to accelerate success in my 1:33:44.360 --> 1:33:48.160 own business. Right, so, even when you're like creating sales decks, 1:33:48.200 --> 1:33:51.240 if there's a particular company you're targeting, like I don't 1:33:51.280 --> 1:33:53.800 want to admit this on camera, but like there may 1:33:53.880 --> 1:33:55.720 or may not have been a company where I was like, yo, 1:33:55.840 --> 1:33:58.679 I have to pitch this to the CMO of this company. 1:33:59.000 --> 1:34:02.120 Helped me come up with with a more compelling argument 1:34:02.439 --> 1:34:05.160 that so, like, now you are the CMO of this company, 1:34:05.400 --> 1:34:07.720 help me come up with a more compelling argument in 1:34:07.760 --> 1:34:10.760 my sales pitch or in my deck to help make 1:34:10.840 --> 1:34:13.600 this align with your business objectives because I might not 1:34:13.720 --> 1:34:15.840 know how to do that. I'm an engineer, but the 1:34:15.880 --> 1:34:17.800 AI helped me do it, and they sure did sign 1:34:17.880 --> 1:34:22.320 that contractee me you get you get these access to 1:34:22.439 --> 1:34:24.479 that stuff to be able to help you out. And 1:34:24.560 --> 1:34:27.760 so now I'm about to uh disconnect this screen. 1:34:27.479 --> 1:34:29.960 Share how they how can they follow you? 1:34:31.120 --> 1:34:33.720 Yeah? So I am everywhere here, let me do this. 1:34:34.400 --> 1:34:36.840 Oh I gotta connect YouTube. It's at tech with X. 1:34:36.840 --> 1:34:38.800 So if you guys can still see my screen, I'm 1:34:38.800 --> 1:34:41.479 gonna leave this up then and maybe not come back. 1:34:41.800 --> 1:34:44.479 But I'm tech with X on TikTok, I'm check with 1:34:44.600 --> 1:34:47.320 X on Instagram, and I'm tech with X on X. 1:34:48.240 --> 1:34:51.080 I will say, though everybody loves to send me DMS 1:34:51.840 --> 1:34:54.679 bro I have like just from investments alone, like over 1:34:54.720 --> 1:34:59.000 a thousand unread dms. I'm not readily available for like 1:34:59.280 --> 1:35:02.160 helping people with their individual ideas. I like to give 1:35:02.240 --> 1:35:04.879 game at scale because I do have my own business. 1:35:05.280 --> 1:35:07.959 But i mean, look, go take the AI course, download 1:35:08.000 --> 1:35:11.479 that free chat at it in trademark it so if 1:35:11.479 --> 1:35:13.680 you steal my stuff, we're gonna fight. But you can 1:35:13.720 --> 1:35:16.879 pass the guide along to your friends, to your family. 1:35:16.920 --> 1:35:18.599 You can teach your kids how to use it in 1:35:18.600 --> 1:35:22.160 this way so that it doesn't become something that robs 1:35:22.160 --> 1:35:25.879 you of your own intellectual capability or your own creative capital. 1:35:25.960 --> 1:35:28.120 But you use it to amplify that. You feel me. 1:35:28.360 --> 1:35:30.639 But I'm on all socials, so you can find. 1:35:31.120 --> 1:35:33.280 You're asking if you could put the QR code back up. 1:35:33.760 --> 1:35:35.960 Courses in the bio. It's in the Lincoln the bioll right, yeah, 1:35:36.840 --> 1:35:37.360 can scan it. 1:35:38.280 --> 1:35:40.160 Yeah, but I'm saying, like her courses in the Lincoln 1:35:40.240 --> 1:35:42.639 in her bio, Instagram bio Yeah, w. 1:35:42.920 --> 1:35:46.559 X dot ai like check with x dot ai. You 1:35:46.560 --> 1:35:47.840 can go see this. 1:35:47.840 --> 1:35:50.280 This is going to get replayed too. I mean, we 1:35:50.320 --> 1:35:53.000 can only do so much, bro, Yeah, you do so much. 1:35:53.840 --> 1:35:54.280 There you go. 1:35:57.240 --> 1:35:59.160 I could I come back out here every week and 1:35:59.200 --> 1:36:02.439 put you all on game the Q three. 1:36:02.280 --> 1:36:04.800 Minutes there you go, just watch the replay and just 1:36:05.240 --> 1:36:05.680 skin it. 1:36:06.320 --> 1:36:07.960 Well, you got it, we wrote it back. 1:36:08.040 --> 1:36:10.320 What can we do? Man, I'm just doing what I can. 1:36:11.439 --> 1:36:12.960 I got so many more questions, but. 1:36:12.960 --> 1:36:13.400 I mean. 1:36:15.479 --> 1:36:17.360 That's what I'm like, I guy, So I'm open for 1:36:17.439 --> 1:36:19.640 Q and A. Now, if y'all know, well, you know what. 1:36:19.640 --> 1:36:23.040 It's a thing called information overload. And I feel like 1:36:23.680 --> 1:36:26.640 ninety minutes of you gotta realize most people this is 1:36:26.640 --> 1:36:28.599 the first time that they've ever heard anything like this, right, 1:36:28.640 --> 1:36:30.880 So what I don't want to do is get people 1:36:31.479 --> 1:36:33.920 just to the point where they get so high off 1:36:33.920 --> 1:36:35.719 the information and they don't take any action. 1:36:36.240 --> 1:36:39.280 Right. I think action is extremely important. So maybe we 1:36:39.320 --> 1:36:40.640 can do If. 1:36:40.960 --> 1:36:42.720 I see a question in here, I think I want 1:36:42.760 --> 1:36:45.639 to answer. Somebody said with the AI inside of FYI 1:36:45.840 --> 1:36:50.519 be considered an LLM that has hallucinations. Yes, the voice 1:36:50.600 --> 1:36:53.599 chat and the chatbot that you talk to is based 1:36:53.680 --> 1:36:56.000 on a large language model. I'm not sure which one 1:36:56.040 --> 1:36:59.160 it's based on. I believe it uses perplexity, but I'm 1:36:59.160 --> 1:37:01.559 not entirely and I don't want to misspeak for them, 1:37:01.760 --> 1:37:04.800 but it does basically use like one of these large 1:37:04.880 --> 1:37:07.479 language models and plug in, so even when you're talking 1:37:07.520 --> 1:37:10.719 to it, it can hallucinate. The thing I like about 1:37:10.720 --> 1:37:13.200 that AI chat about those is you can choose the voice. 1:37:13.320 --> 1:37:14.920 So I got it talking to me in like a 1:37:15.240 --> 1:37:19.080 like a British slang and it's like, yeah, Fam, what's up? Fam? 1:37:19.240 --> 1:37:21.439 Like yeah, here's how you make a business plan, fam, 1:37:21.479 --> 1:37:24.799 And it's like it's fun, you know. And so anytime 1:37:24.880 --> 1:37:27.320 you use these large language models, you just got to 1:37:27.360 --> 1:37:30.840 know that they are they're going to hallucinate. So again, 1:37:31.120 --> 1:37:33.160 if the double check any facts that it gives you, 1:37:33.200 --> 1:37:35.040 if you give it data, you got a double chat 1:37:35.120 --> 1:37:38.960 that is accurately representing those numbers. But f yi, AI, 1:37:39.120 --> 1:37:42.639 the chat in there is a large language model. Everyone's 1:37:42.680 --> 1:37:44.840 asking for the QR code. Again, y'all. 1:37:46.640 --> 1:37:53.000 Cool an audience, But I'm not trying to be asshole 1:37:53.000 --> 1:37:54.599 by this. But how you do one thing is how 1:37:54.600 --> 1:37:57.439 you do anything. And this is extremely important. When we 1:37:57.560 --> 1:38:00.320 give in the free information, it's like part of it 1:38:00.360 --> 1:38:02.640 is taking accountability right, and it's like you can't just 1:38:02.680 --> 1:38:05.600 be babies fed because that's actually gonna end up hurting you. 1:38:05.840 --> 1:38:07.439 We gave the QR code three times. 1:38:07.439 --> 1:38:08.880 Like I said, the video is going to be saved 1:38:09.280 --> 1:38:11.160 and you can just watch it later if you didn't 1:38:11.160 --> 1:38:14.719 get the QR code. But it's it's a habit of 1:38:15.320 --> 1:38:19.479 entitlement and just force feeding people, like at a certain 1:38:19.520 --> 1:38:22.880 point in time, you don't appreciate certain things, especially if 1:38:22.880 --> 1:38:25.679 they're free, right like that that happens in real time. 1:38:26.120 --> 1:38:28.920 So that's what I'm saying. It might seem like a 1:38:28.920 --> 1:38:30.320 small thing, but I'm just saying I just want to 1:38:30.439 --> 1:38:33.040 value the time, like she's taking time out of time 1:38:33.080 --> 1:38:35.280 to be here, Like, let's just value it. 1:38:35.640 --> 1:38:37.760 It's like the teacher like that puts the notes on 1:38:37.760 --> 1:38:39.680 the board and by the time they erase it, like 1:38:39.920 --> 1:38:41.639 twenty minutes into the class, like you know, I ain't 1:38:41.680 --> 1:38:44.439 write it down yet, know when you come in, write 1:38:44.439 --> 1:38:45.120 down the notes. 1:38:46.520 --> 1:38:49.400 And so someone asked another really good question. They said, 1:38:49.800 --> 1:38:53.080 if we're using fii, is our data and our ideas private? 1:38:53.479 --> 1:38:56.240 And the thing about excuse me, fii AI that I 1:38:56.280 --> 1:38:59.160 prefer over other platforms is that they do not collect 1:38:59.240 --> 1:39:02.599 any user day at all whatsoever. They don't use your 1:39:02.680 --> 1:39:05.639 prompts to make their AI better, even the image generator 1:39:05.640 --> 1:39:08.000 that they use, they don't track any data about your 1:39:08.000 --> 1:39:10.519 cell phone number, how much you doing don't use the app. 1:39:10.800 --> 1:39:13.080 You can look up will I am talking about FYI. 1:39:13.160 --> 1:39:15.240 He's very very big on this. They want to have 1:39:15.360 --> 1:39:19.439 other ways that they monetize that are not advertising based 1:39:19.600 --> 1:39:22.559 or collecting and selling your data. So that app in 1:39:22.600 --> 1:39:25.799 particular protects your data. If you're using the free version 1:39:25.840 --> 1:39:28.439 of Claude, you're using the free version of chat GBT, 1:39:28.680 --> 1:39:32.000 you're using the free version of Gemini, they absolutely will 1:39:32.080 --> 1:39:34.599 use your data to train their AI. When you start 1:39:34.680 --> 1:39:37.639 using the paid versions of those apps, they don't keep 1:39:37.640 --> 1:39:39.559 your prompts to train the AI. It's kind of like 1:39:39.600 --> 1:39:41.040 you're paying for your privacy. 1:39:42.479 --> 1:39:45.800 That's a fact. Shout out, FYI. 1:39:46.680 --> 1:39:47.280 Let's do this. 1:39:47.439 --> 1:39:50.320 Let's we'll see how this goes as far as like 1:39:50.479 --> 1:39:53.400 actionable people actually because we'll track it. These people watch 1:39:53.400 --> 1:39:56.000 market mondays, people hit us up on so I would 1:39:56.040 --> 1:39:58.240 like to see different people that actually take action from 1:39:58.240 --> 1:40:00.120 this video. I would like to see this video go 1:40:00.240 --> 1:40:02.559 viral if we can. If you can help push that, 1:40:02.560 --> 1:40:04.360 that would be helped. That would extremely important. I'm talking 1:40:04.400 --> 1:40:07.000 to everybody in the audience, and then depending on how 1:40:07.000 --> 1:40:08.200 that goes, I think we can have a part two 1:40:08.320 --> 1:40:08.960 down the line. 1:40:09.080 --> 1:40:10.040 But what we are going to. 1:40:10.040 --> 1:40:12.960 Do every week for the foreseeable future is different types 1:40:13.000 --> 1:40:18.000 of these type of live educational content. So last week 1:40:18.040 --> 1:40:22.439 we did a live on home buying, it's very important. 1:40:23.840 --> 1:40:29.479 This week we obviously did artificial intelligence. So suggestions of 1:40:29.560 --> 1:40:31.560 what you would like to see this is this is 1:40:31.600 --> 1:40:37.200 real time education from industry experts, and then maybe we 1:40:37.240 --> 1:40:39.519 can actually have a live on based off of the 1:40:39.600 --> 1:40:43.519 things that you would like to see. So yeah, put 1:40:43.520 --> 1:40:45.320 it in chat what you would like to see as 1:40:45.320 --> 1:40:47.840 far as on this Thursday Night Live edition. 1:40:48.560 --> 1:40:51.720 And a lot of people are asking me to tell 1:40:51.760 --> 1:40:57.680 them my zodiac sign, Like y'all birthday post from like 1:40:58.120 --> 1:41:00.240 less than you know, less than a month ago, you'll 1:41:00.240 --> 1:41:02.599 see what my zodiac is like, do some research. 1:41:03.320 --> 1:41:05.920 There were a few people that did research. I didn't 1:41:05.960 --> 1:41:06.680 notice that as well. 1:41:09.680 --> 1:41:11.760 Like four or five people were like, yes, what's your son? 1:41:11.840 --> 1:41:13.519 Sound like? Hold on, I'm not telling you all the 1:41:13.520 --> 1:41:15.519 time I was born, But every year for like the 1:41:15.560 --> 1:41:18.120 past four years, on my birthday, I've made a post 1:41:18.400 --> 1:41:20.400 about my birthday, so you could you could figure that 1:41:20.479 --> 1:41:21.960 out fairly easily. 1:41:22.360 --> 1:41:24.200 That's an easy one. That's an easy one. 1:41:24.439 --> 1:41:27.040 Getting snitched on they saying my sign in the chat. 1:41:27.280 --> 1:41:31.080 Oh no, got live. This is we all Live. We 1:41:31.160 --> 1:41:35.679 all Live, We all Live. Son, Yeah, all right, Oh 1:41:36.320 --> 1:41:37.320 THATX has been a pleasure. 1:41:37.479 --> 1:41:40.840 And you spoke at it fast fast, Yes, what was 1:41:40.880 --> 1:41:41.680 your experience? 1:41:42.240 --> 1:41:43.479 A thousand dms. 1:41:44.320 --> 1:41:48.519 It was the wildest experience I've ever had. Speaking in 1:41:48.520 --> 1:41:51.120 mind you, I spoke at the United Nations. I've spoken 1:41:51.160 --> 1:41:53.880 at the Milking Institute. For those who don't know, the 1:41:53.920 --> 1:41:57.000 tickets to the Milking Institute are fifty to one hundred 1:41:57.000 --> 1:41:59.600 and fifty thousand dollars for. 1:41:59.720 --> 1:42:01.360 That and just breeze over there. 1:42:02.040 --> 1:42:04.080 That's why I said, just cut the video of the 1:42:04.120 --> 1:42:06.640 whole point in time because shot at the end. Hold on, 1:42:06.640 --> 1:42:09.280 hold on, I know he has thoughts about this, So. 1:42:09.600 --> 1:42:12.080 Can you tell people what that that conference is? 1:42:12.640 --> 1:42:15.839 Yeah? So the Milking Institute is based on Michael Milkin. 1:42:16.280 --> 1:42:18.879 It's his foundation that he created back in the eighties. 1:42:18.920 --> 1:42:23.479 He created new financial mechanisms for people to invest in 1:42:23.520 --> 1:42:27.080 what they considered high risk companies, which were basically black 1:42:27.120 --> 1:42:29.920 and brown companies. So he became the first person to 1:42:30.120 --> 1:42:32.879 make billions of dollars off of black businesses while supporting 1:42:32.920 --> 1:42:36.200 them and help black investors become black billionaires. Then he 1:42:36.240 --> 1:42:38.479 got investigated by the sec and it was a whole 1:42:38.479 --> 1:42:40.479 bunch of mess because they ain't like it. Right, So 1:42:40.600 --> 1:42:42.960 now he has this thing called the Milking Institute, And 1:42:43.000 --> 1:42:47.080 the Milking Institute is this like thought leadership consortium, and 1:42:47.120 --> 1:42:49.160 they have summits all over the world, but the one 1:42:49.200 --> 1:42:52.280 that they do every year in La. The tickets to 1:42:52.320 --> 1:42:55.559 get into this are fifty to one hundred thousand dollars 1:42:56.000 --> 1:42:58.719 per person per day and it's a three day conference. 1:42:59.000 --> 1:43:01.000 So this year I spoke get the one that was here. 1:43:01.080 --> 1:43:03.600 There were five thousand people there. So you just do 1:43:03.720 --> 1:43:06.479 the math on how much money they made off of 1:43:06.520 --> 1:43:11.639 ticket sales alone. You'll understand why folks like Elon Musk 1:43:11.760 --> 1:43:13.280 spoke there. Why people like. 1:43:13.479 --> 1:43:16.040 You ever have you ever seen any review video criticizing 1:43:16.080 --> 1:43:18.240 them that the ticket price was too high? 1:43:18.439 --> 1:43:23.120 I think that they understand that when you go there 1:43:23.400 --> 1:43:25.880 to these conferences, like, not only is it like Elon 1:43:26.000 --> 1:43:29.479 Musk talking, it's like the Saudi royal family is walking around, right, 1:43:29.560 --> 1:43:34.040 So it's like a thought leadership conference for the elite, right, 1:43:34.120 --> 1:43:35.639 So you'll get like, and that's. 1:43:35.439 --> 1:43:37.880 What we tried to explain to them about Davos. We 1:43:37.960 --> 1:43:40.640 tried to explain this, like yeah, and I got it, 1:43:41.280 --> 1:43:44.160 and I gotta deal with Hecklers for two hundred and 1:43:44.160 --> 1:43:47.120 fifty dollars for three days for. 1:43:47.120 --> 1:43:50.960 Three days, fifty to one hundred thousand dollars per person 1:43:51.080 --> 1:43:54.599 per day. Y'all to listen to like Elon Musk talk 1:43:54.800 --> 1:43:57.000 or go up there and see Bill Clinton talk, or 1:43:57.040 --> 1:44:00.160 they had like the CEO of Pinterest, they had like 1:44:00.160 --> 1:44:03.000 the head of cybersecurity at DARPA with like the head 1:44:03.040 --> 1:44:05.960 of National Security and whatever. And you also get to 1:44:06.000 --> 1:44:08.160 like walk around and meet these people after. I mean, 1:44:08.160 --> 1:44:11.439 Elon obviously didn't stay, but even when I spoke in 1:44:11.439 --> 1:44:13.320 that audience and all the people who came up to 1:44:13.360 --> 1:44:15.519 me after, that's how I like connected with the Attorney 1:44:15.600 --> 1:44:19.719 General of California, the ambassador to Luxembourg, the ambassador to Germany, 1:44:20.040 --> 1:44:22.920 the like ambassador to Afghanistan, like all of these people 1:44:22.960 --> 1:44:26.479 who have important titles. The energy did not touch what 1:44:26.560 --> 1:44:29.240 I felt at investments. I have never spoken in front 1:44:29.240 --> 1:44:32.120 of an audience who had that much creative capital, who 1:44:32.160 --> 1:44:35.280 had that much culture capital, and who was actually looking 1:44:35.320 --> 1:44:38.000 for information to shape the world. And all y'all have 1:44:38.080 --> 1:44:41.920 to understand that our communities drive economies. Like the only 1:44:41.960 --> 1:44:45.200 reason Twitter is still surviving after everything that's happened is 1:44:45.200 --> 1:44:49.280 because black Twitter still exists, right, Like we made TikTok 1:44:49.360 --> 1:44:52.960 popular with all the TikTok dances and the Resatisa type stories, 1:44:53.000 --> 1:44:57.120 and so our intellectual capital is what drives these platforms, 1:44:57.200 --> 1:44:59.439 right And so for me to have spoken on a 1:44:59.479 --> 1:45:03.200 stage like that around all of these important people wasn't 1:45:03.439 --> 1:45:08.040 a fraction of a match to the type of capital 1:45:08.120 --> 1:45:12.520 and wisdom and game not just business and technical expertise, 1:45:12.560 --> 1:45:17.320 but like mental expertise, financial expertise that I even received 1:45:17.360 --> 1:45:20.280 outside of speaking on stage. And for y'all to have 1:45:20.439 --> 1:45:23.360 access to that for two hundred and fifty dollars and 1:45:24.080 --> 1:45:27.160 a massive audience of like twenty thousand people of other 1:45:27.200 --> 1:45:30.960 folks that you can immediately tap into into your community 1:45:31.200 --> 1:45:34.920 who can help you build successfully across whatever you're trying 1:45:34.920 --> 1:45:37.599 to create in the world or scale in the world. Man, 1:45:37.600 --> 1:45:40.200 and people inside of Milking Institute, the ain't really trying 1:45:40.200 --> 1:45:41.920 to collab like you. 1:45:41.880 --> 1:45:44.800 Know, we got to that part. 1:45:45.160 --> 1:45:48.519 You know it only you gotta be in it to 1:45:48.600 --> 1:45:50.840 appreciate it. You gotta be in it to appreciate it. 1:45:53.240 --> 1:45:54.160 I'm glad you said that. 1:45:54.160 --> 1:45:58.280 Thank you, so you understand, Like investments is something special, 1:45:58.360 --> 1:46:00.280 like to be in a room with twenty thousand and 1:46:00.680 --> 1:46:04.120 black and brown folks who are looking for information on 1:46:04.160 --> 1:46:06.840 how to build and shape their own reality and are 1:46:06.880 --> 1:46:10.439 getting that information from industry leaders in their space. Like 1:46:10.760 --> 1:46:13.040 you guys have me on stage, you have Van Jones 1:46:13.080 --> 1:46:15.479 on stage, You have fifty cent on stage, like fifty cent, 1:46:15.560 --> 1:46:18.200 So this steak envitamin whatever like one hundred million dollars. 1:46:18.439 --> 1:46:20.479 This isn't just a rapper who made the songs that 1:46:20.560 --> 1:46:23.240 power my childhood and middle school years. This man is 1:46:23.240 --> 1:46:27.880 a prolific businessman teaching you. I am yeah, will are 1:46:27.920 --> 1:46:34.000 you things you know for two hundred and fifty dollars 1:46:34.040 --> 1:46:36.600 you can learn from somebody else. Taking one company for 1:46:36.640 --> 1:46:39.800 one hundred million dollars like that is, and especially someone 1:46:39.800 --> 1:46:42.280 who comes from our culture, who speaks it in our culture, 1:46:42.320 --> 1:46:43.960 who can translate it for you in a way of 1:46:44.000 --> 1:46:46.400 our culture and you get it. Connect with everybody to 1:46:46.479 --> 1:46:48.719 your left and right that's trying to build something similar, 1:46:48.760 --> 1:46:51.320 so you could build your squad on site that doesn't 1:46:51.360 --> 1:46:53.439 exist anywhere else. So I hope all the all are 1:46:53.439 --> 1:46:55.800 back and investments next year, because if you not, I'm 1:46:55.840 --> 1:47:00.360 gonna block you on a chat or something. I'm use Yeah, 1:47:00.360 --> 1:47:03.759 I to find you and can take that that had guy. 1:47:04.840 --> 1:47:08.799 Lease, yeah, oh man, it's incredible and. 1:47:08.640 --> 1:47:11.840 Tell them to clip that up and said at least yeah, 1:47:11.840 --> 1:47:14.559 somebody saying in chat next year'all come and support them. 1:47:14.640 --> 1:47:19.080 It's not about supporting us, it's yourself like like that's 1:47:19.080 --> 1:47:22.680 the part. But thank you, thank you for that. 1:47:23.200 --> 1:47:25.640 Yeah, And I'm telling you, like Milking was cool. I 1:47:25.720 --> 1:47:27.800 was definitely in a suit. I wasn't in my like 1:47:28.240 --> 1:47:30.600 you know, my little off White Air Forces. I was 1:47:30.640 --> 1:47:32.439 definitely in a suit. And I'm not gonna lie like 1:47:32.479 --> 1:47:35.439 I didn't meet cool people. But the energy wasn't the same. 1:47:35.560 --> 1:47:37.519 Everyone was there because they were trying to meet the 1:47:37.600 --> 1:47:40.360 who's who, not because they were trying to build and connect. 1:47:40.400 --> 1:47:43.559 It was like a weird, like good old boys club 1:47:43.600 --> 1:47:46.439 type energy. I'm not knocking milking. It's valuable. That's also 1:47:46.479 --> 1:47:48.240 how I met the dean of the Goldman School of 1:47:48.240 --> 1:47:50.840 Public Policy, which is where I'm creating the first ever 1:47:51.520 --> 1:47:54.519 AI policy focused research lab in the country. I met 1:47:54.560 --> 1:47:57.200 him in like a closed door session at the Milking 1:47:57.240 --> 1:48:00.280 Institute in Abu Dhabi back in December, right, So I 1:48:00.320 --> 1:48:02.680 get value from it. It's just a different kind of 1:48:02.760 --> 1:48:06.080 value when we're thinking about culture and community, when you're 1:48:06.120 --> 1:48:11.040 talking about capital because of positions people hold versus capital 1:48:11.080 --> 1:48:14.240 because of our experience and our community and our ability 1:48:14.240 --> 1:48:16.320 to translate and communicate that to you. So I'm not 1:48:16.360 --> 1:48:18.880 trying to get disinvited from Milking because I love it. 1:48:18.920 --> 1:48:21.000 I love going there. I'm actually going to one in 1:48:21.160 --> 1:48:24.879 Argentina in a couple of weeks. There's just a different 1:48:25.280 --> 1:48:28.240 energy's provided. 1:48:28.040 --> 1:48:30.920 Vib It's a vibe that's been curated that just can't 1:48:30.960 --> 1:48:34.040 really you know, you can't when you put the sauce 1:48:34.080 --> 1:48:34.719 on it. 1:48:34.720 --> 1:48:35.479 It's just different. 1:48:35.760 --> 1:48:38.439 It's just a different you know, it's a different that 1:48:38.520 --> 1:48:41.120 you know, Man, I appreciate this so much. 1:48:41.240 --> 1:48:45.519 You are definitely a genius in this space. And just 1:48:45.560 --> 1:48:49.439 for you to take your time out to educate, you know, 1:48:49.640 --> 1:48:53.920 people for free, I think is very commendable. For sure, 1:48:54.720 --> 1:48:58.839 So thank you, Thank you for sure, and let's definitely 1:48:59.479 --> 1:49:02.000 you know, to back and stay in touch and hopefully 1:49:02.040 --> 1:49:04.040 we can do some more things together in the future. 1:49:04.080 --> 1:49:05.200 For sure. Definitely. 1:49:05.880 --> 1:49:08.320 Oh well, I mean I got some ideas, you know, 1:49:08.320 --> 1:49:10.880 we could chat about offline. But I really appreciate you 1:49:10.960 --> 1:49:13.920 all for you know, elevating me on the EIL platform 1:49:13.960 --> 1:49:16.240 starting with nineteen keys, from having me on high level 1:49:16.320 --> 1:49:19.479 conversations to you guys bringing me to invest FST to 1:49:19.600 --> 1:49:22.200 having me back on here now to share some critical 1:49:22.200 --> 1:49:25.320 game with our communities. And I really appreciate what y'all doing. 1:49:25.560 --> 1:49:27.240 Look forward to collaborating in the future. 1:49:28.439 --> 1:49:31.160 Thank you so I appreciate you so much. Appreciate you lovers. 1:49:31.200 --> 1:49:33.120 Love y'all have a good one. Be safe. 1:49:33.400 --> 1:49:36.640 Yes, oh and make sure y'all tap in market Mondays 1:49:36.680 --> 1:49:38.439 and then this will be on podcast hour less and 1:49:38.439 --> 1:49:39.800 this will be saved on YouTube as well. 1:49:39.920 --> 1:49:42.160 Yep, all right, it's been real peace. 1:49:43.760 --> 1:49:47.439 An illegal alien from Guatemala charged with raping a child 1:49:47.479 --> 1:49:51.280 in Massachusetts. An MS thirteen gang member from El Salvador 1:49:51.520 --> 1:49:55.640 accused of murdering a Texas man of Venezuelan charged with 1:49:55.720 --> 1:49:59.600 filming and selling child pornography in Michigan. These are just 1:49:59.680 --> 1:50:03.479 some of the heinous migrant criminals caught because of President 1:50:03.479 --> 1:50:07.040 Donald J. Trump's leadership. I'm Christy nom the United States 1:50:07.080 --> 1:50:11.880 Secretary of Homeland Security. Under President Trump, attempted illegal border 1:50:11.920 --> 1:50:15.479 crossings are at the lowest levels ever recorded, and over 1:50:15.520 --> 1:50:18.760 one hundred thousand illegal aliens have been arrested. If you 1:50:18.840 --> 1:50:22.679 are here illegally, your next you will be fine nearly 1:50:22.760 --> 1:50:26.800 one thousand dollars a day, imprisoned, and deported, you will 1:50:26.800 --> 1:50:30.479 never return. But if you register using our CBP home 1:50:30.520 --> 1:50:33.879 app and leave now, you could be allowed to return legally. 1:50:34.240 --> 1:50:39.000 Do what's right. Leave now. Under President Trump America's laws, 1:50:39.160 --> 1:50:41.160 border and families. 1:50:40.760 --> 1:50:41.599 Will be protected. 1:50:41.680 --> 1:50:43.839 Sponsored by the United States Department of Homeland Security,