1 00:00:00,160 --> 00:00:02,960 Speaker 1: Black Tech, Green Money. We'll look and see another episode. 2 00:00:03,000 --> 00:00:06,680 Speaker 1: I'm super excited to bring you. Monk Yang, CEO and 3 00:00:06,680 --> 00:00:09,840 Speaker 1: founder of First Street Partnerships. He's on a mission to 4 00:00:09,920 --> 00:00:13,119 Speaker 1: make AI more practical and that's definitely needed in our 5 00:00:13,119 --> 00:00:16,880 Speaker 1: community right now, make it more accessible and culturally relevant, 6 00:00:17,040 --> 00:00:21,840 Speaker 1: especially for underrepresented communities. Through First Street Partnerships, he helps businesses, 7 00:00:21,920 --> 00:00:26,480 Speaker 1: leaders community harness the power of AI for growth, creativity, 8 00:00:26,480 --> 00:00:30,360 Speaker 1: and economic opportunity. Blending those strategic expertise that he brings 9 00:00:30,400 --> 00:00:34,200 Speaker 1: with storytelling and innovation. He's empowering people to use AI 10 00:00:34,280 --> 00:00:37,320 Speaker 1: with confidence and intention. Welcome to the show, Monk In Yang. 11 00:00:38,240 --> 00:00:39,720 Speaker 2: Thank you, Bill, Thank you appreciated. 12 00:00:40,440 --> 00:00:43,920 Speaker 3: Definitely glad to have this conversation, big fan of the show. 13 00:00:44,640 --> 00:00:47,080 Speaker 3: Thank you for the space to talk about This is 14 00:00:47,320 --> 00:00:49,240 Speaker 3: a really important conversation. 15 00:00:48,760 --> 00:00:50,559 Speaker 4: To add absolutely absolutely. 16 00:00:50,880 --> 00:00:54,279 Speaker 1: I want to start because you have spent a lot 17 00:00:54,280 --> 00:00:57,680 Speaker 1: of time working with students, middle school students, high school 18 00:00:57,680 --> 00:01:00,480 Speaker 1: students in the center, and so you also write books 19 00:01:00,480 --> 00:01:04,919 Speaker 1: for them. So what in what influenced you to work 20 00:01:05,000 --> 00:01:07,080 Speaker 1: with people, especially. 21 00:01:06,680 --> 00:01:08,880 Speaker 4: In our communities at such a young age. 22 00:01:10,040 --> 00:01:12,960 Speaker 3: Yeah, yeah, I think you know. For me personally, I've 23 00:01:13,000 --> 00:01:15,880 Speaker 3: always been a creative at heart. I started writing fiction 24 00:01:15,920 --> 00:01:18,319 Speaker 3: when I was in third grade and selling it to 25 00:01:18,400 --> 00:01:22,760 Speaker 3: friends as a kind of sideway hustle to make some 26 00:01:22,800 --> 00:01:25,280 Speaker 3: money on, you know, in the side in middle school. 27 00:01:25,319 --> 00:01:30,720 Speaker 3: And I think that age range and that imagination and 28 00:01:30,760 --> 00:01:33,800 Speaker 3: what you few is possible and the way you view 29 00:01:33,840 --> 00:01:37,960 Speaker 3: the world is really special and so connecting with students 30 00:01:38,200 --> 00:01:39,759 Speaker 3: at that age and I kind of. 31 00:01:39,680 --> 00:01:41,560 Speaker 2: Try and bring that to the work that I do now. 32 00:01:42,040 --> 00:01:45,640 Speaker 3: Of really like imagination and like your highest level of creativity, 33 00:01:45,720 --> 00:01:49,200 Speaker 3: whether you consider yourself a creative or not, that's what 34 00:01:49,320 --> 00:01:52,680 Speaker 3: you know. When we tap into that, you see some 35 00:01:52,680 --> 00:01:55,200 Speaker 3: really special things. So I love being around that group 36 00:01:55,240 --> 00:01:55,840 Speaker 3: for that reason. 37 00:01:56,480 --> 00:01:59,080 Speaker 1: And you talked about fiction, which I love to read fiction, 38 00:01:59,320 --> 00:02:02,920 Speaker 1: especially near future fiction. Is you know, my particular genre. 39 00:02:04,040 --> 00:02:08,280 Speaker 1: How has the storytelling that ability that you've harnessed and cultivated, 40 00:02:08,600 --> 00:02:11,000 Speaker 1: How has that helped you with your leadership and ability 41 00:02:11,000 --> 00:02:14,239 Speaker 1: to communicate you know, things like AI to these communities. 42 00:02:15,280 --> 00:02:18,239 Speaker 3: Yeah, yeah, I think you know when you're when you're 43 00:02:18,240 --> 00:02:22,040 Speaker 3: looking at storytelling, and all great stories follow particular paths 44 00:02:22,120 --> 00:02:24,640 Speaker 3: and have a rhythm and a way of kind of 45 00:02:24,680 --> 00:02:27,640 Speaker 3: bringing the audience in. And one of the you know, 46 00:02:27,680 --> 00:02:29,760 Speaker 3: one of the big rules of storytelling is you want 47 00:02:29,760 --> 00:02:31,560 Speaker 3: to let the audience know what they have, you know, 48 00:02:31,639 --> 00:02:34,079 Speaker 3: what they have in store upfront and kind of ease 49 00:02:34,080 --> 00:02:35,919 Speaker 3: some of the fears of am I, you know, am 50 00:02:35,919 --> 00:02:38,680 Speaker 3: I going to enjoy this or not? And so when 51 00:02:38,720 --> 00:02:41,440 Speaker 3: I have conversations with people about AI and I go 52 00:02:41,600 --> 00:02:45,760 Speaker 3: through the training and we were connecting, those those same 53 00:02:45,960 --> 00:02:49,160 Speaker 3: principles kind of come in place as well. You know, 54 00:02:49,240 --> 00:02:52,799 Speaker 3: I help we help move people from AI anxiety to 55 00:02:52,960 --> 00:02:58,880 Speaker 3: AI adoption, and that's through really culturally resident community based education. 56 00:02:59,160 --> 00:03:01,760 Speaker 3: And so the story telling of you know, meeting people 57 00:03:01,800 --> 00:03:03,760 Speaker 3: where they are and kind of saying, you know, it 58 00:03:03,880 --> 00:03:06,519 Speaker 3: makes sense that you may be apprehensive about this, right, 59 00:03:06,880 --> 00:03:09,200 Speaker 3: Either this thing is going to be the greatest thing 60 00:03:09,200 --> 00:03:12,600 Speaker 3: in the universe which causes its own all right, let's relax, 61 00:03:13,160 --> 00:03:14,760 Speaker 3: or it's going to be the terminator and it's going 62 00:03:14,800 --> 00:03:18,240 Speaker 3: to destroy everyone. And so in either direction, you may 63 00:03:18,280 --> 00:03:20,760 Speaker 3: not come at this or feel that you know, this 64 00:03:20,960 --> 00:03:22,840 Speaker 3: is something that may be be for you. 65 00:03:22,960 --> 00:03:24,760 Speaker 2: And so helping people walk. 66 00:03:24,600 --> 00:03:27,000 Speaker 3: Through that path of understanding that you know, if you 67 00:03:27,200 --> 00:03:31,160 Speaker 3: center yourself, and we have to center our humanity. Our 68 00:03:31,240 --> 00:03:35,040 Speaker 3: humanity is what created and researched and brought this technology 69 00:03:35,080 --> 00:03:37,760 Speaker 3: into our lives and our humanity is the only thing 70 00:03:37,800 --> 00:03:40,960 Speaker 3: that gives value to whatever it creates. It doesn't create 71 00:03:41,000 --> 00:03:43,120 Speaker 3: things in a vacuum. We are the ones who say 72 00:03:43,440 --> 00:03:45,480 Speaker 3: that is very helpful to do. And so when you 73 00:03:45,520 --> 00:03:48,360 Speaker 3: center yourself and kind of anchor yourself, and that's the 74 00:03:48,360 --> 00:03:50,960 Speaker 3: framework that we use in all of our training, anchored 75 00:03:51,040 --> 00:03:55,680 Speaker 3: intelligence as opposed to artificial intelligence. When you anchor your humanity, 76 00:03:56,200 --> 00:04:00,320 Speaker 3: your creativity, your voice in how you use the technologlogy, 77 00:04:00,760 --> 00:04:03,560 Speaker 3: it changes the way you view it, what you think 78 00:04:03,640 --> 00:04:07,560 Speaker 3: is possible. It raises your ambition. And so that's what 79 00:04:07,640 --> 00:04:11,960 Speaker 3: we you know, what I look for and storytelling and 80 00:04:12,000 --> 00:04:13,840 Speaker 3: doing that in the class helps people. 81 00:04:13,600 --> 00:04:16,919 Speaker 1: See that they get I want to set some landscape 82 00:04:16,960 --> 00:04:18,919 Speaker 1: here because you know there's a lot to your story, 83 00:04:18,920 --> 00:04:22,159 Speaker 1: a lot happening currently with your story that will congratulate 84 00:04:22,200 --> 00:04:24,040 Speaker 1: you on and I'll give you the opportunity to talk about 85 00:04:24,080 --> 00:04:26,680 Speaker 1: So before I get deeper into like your work, I 86 00:04:26,680 --> 00:04:29,480 Speaker 1: want to talk about this relationship with Kevin Hart. 87 00:04:29,520 --> 00:04:30,800 Speaker 4: So talk about. 88 00:04:32,160 --> 00:04:36,160 Speaker 1: The current Caramino Fund and the new news that's up. 89 00:04:36,160 --> 00:04:36,760 Speaker 4: In your world. 90 00:04:38,279 --> 00:04:41,960 Speaker 3: Yeah, So we're incredibly honored to be partnering with Kevin 91 00:04:42,000 --> 00:04:45,640 Speaker 3: Hart's Grand Karamino tequila brand, and so they have a 92 00:04:45,839 --> 00:04:50,000 Speaker 3: Karmino Fund where they provide ten thousand dollars grants to 93 00:04:50,080 --> 00:04:53,440 Speaker 3: black and LATINX entrepreneurs around the country. 94 00:04:53,600 --> 00:04:56,480 Speaker 2: And so this year I'm very honored to. 95 00:04:56,360 --> 00:05:01,080 Speaker 3: Be that they recognize the need for AI education as 96 00:05:01,200 --> 00:05:04,320 Speaker 3: the hot button pressing issue for that community and for 97 00:05:04,400 --> 00:05:08,520 Speaker 3: these entrepreneurs, and so they've brought us in as a 98 00:05:08,560 --> 00:05:12,280 Speaker 3: partner to provide AI education for the grant winners that 99 00:05:12,360 --> 00:05:15,680 Speaker 3: win in this this current cohort. So we're really looking 100 00:05:15,680 --> 00:05:19,440 Speaker 3: forward to be able to again bring that anchored intelligence framework, 101 00:05:19,760 --> 00:05:23,440 Speaker 3: help people understand how they are the drivers of this technology, 102 00:05:23,800 --> 00:05:27,280 Speaker 3: how it can how you can trust but verify, and 103 00:05:27,320 --> 00:05:30,159 Speaker 3: how you can you know, grow your top line, grow 104 00:05:30,200 --> 00:05:34,919 Speaker 3: your bottom line in that in that AI education. So 105 00:05:35,600 --> 00:05:38,080 Speaker 3: that is something we're really excited to do. And I 106 00:05:38,080 --> 00:05:41,839 Speaker 3: think we I strongly believe that this kind of private, 107 00:05:42,720 --> 00:05:46,440 Speaker 3: private and public partnership, so whether it is through workforce 108 00:05:46,480 --> 00:05:49,919 Speaker 3: development boards or through corporations and brands that want to 109 00:05:49,960 --> 00:05:51,920 Speaker 3: speak in this in this moment in a way that 110 00:05:52,040 --> 00:05:54,520 Speaker 3: is valuable and impactful for communities. 111 00:05:54,520 --> 00:05:56,320 Speaker 2: This is the way that it gets done. 112 00:05:56,320 --> 00:06:00,600 Speaker 3: And providing pathways for access to high quality. The education 113 00:06:00,800 --> 00:06:03,800 Speaker 3: is always is always a benefit for the society. 114 00:06:04,000 --> 00:06:06,600 Speaker 1: Yeah, talk about the unique value propositions. I mean there, 115 00:06:06,800 --> 00:06:10,080 Speaker 1: I imagine, especially somebody at his level and the kind 116 00:06:10,120 --> 00:06:12,000 Speaker 1: of things that they see with his team. 117 00:06:12,480 --> 00:06:13,440 Speaker 4: There's a lot of people. 118 00:06:13,240 --> 00:06:16,440 Speaker 1: They could have partnered with, and they chose Monk. And 119 00:06:16,760 --> 00:06:19,440 Speaker 1: what was it about your offering that they said, you 120 00:06:19,480 --> 00:06:22,120 Speaker 1: know what, there's something unique here, something special here. This 121 00:06:22,200 --> 00:06:25,279 Speaker 1: is the guy and his team to go fulfilled this vision. 122 00:06:26,200 --> 00:06:28,640 Speaker 2: Yeah. No, I appreciate you on pointing that. 123 00:06:28,800 --> 00:06:31,200 Speaker 3: I think you know it's it's humbling, and I think 124 00:06:31,880 --> 00:06:34,679 Speaker 3: from the beginning of when I pitched it and spoke 125 00:06:34,720 --> 00:06:37,080 Speaker 3: about it and our and our team spoke about it. 126 00:06:37,640 --> 00:06:41,039 Speaker 3: For me, I looked at the landscape of how AI 127 00:06:41,160 --> 00:06:44,080 Speaker 3: training is typically handled, and it's typically handled like all 128 00:06:44,200 --> 00:06:47,640 Speaker 3: tech training, and it is you do A and then 129 00:06:47,720 --> 00:06:50,400 Speaker 3: B becomes the result, you know, the way you were taught, 130 00:06:51,040 --> 00:06:53,280 Speaker 3: you know, Microsoft Word or Excel or any of these 131 00:06:53,320 --> 00:06:56,719 Speaker 3: other programs. And AI is very unique in that use 132 00:06:56,760 --> 00:07:00,719 Speaker 3: of language is a game changer. The fact that it's random, 133 00:07:01,000 --> 00:07:03,800 Speaker 3: it's a game changer. There's so many things that it 134 00:07:04,240 --> 00:07:06,599 Speaker 3: can replicate but then be wrong about, and so many 135 00:07:06,640 --> 00:07:08,440 Speaker 3: things that it can create that you may not have 136 00:07:08,560 --> 00:07:11,120 Speaker 3: even thought of while you were starting that process. And 137 00:07:11,160 --> 00:07:14,680 Speaker 3: so for our framework and what makes us different is 138 00:07:14,760 --> 00:07:17,240 Speaker 3: while others may be really focused on what's the greatest 139 00:07:17,240 --> 00:07:19,360 Speaker 3: prompt that you can make, and we will cover those 140 00:07:19,400 --> 00:07:21,840 Speaker 3: things and talk about best practices and all of that, 141 00:07:22,200 --> 00:07:24,720 Speaker 3: it really is centered on the person and how you 142 00:07:24,800 --> 00:07:27,160 Speaker 3: think and how you interact with the technology. 143 00:07:27,200 --> 00:07:28,520 Speaker 2: I always tell people. 144 00:07:28,560 --> 00:07:31,440 Speaker 3: That it is you view it as an intern or 145 00:07:32,200 --> 00:07:36,080 Speaker 3: an overeager colleague. And if you have something really important 146 00:07:36,080 --> 00:07:38,640 Speaker 3: that you want to get done in the workplace and 147 00:07:38,680 --> 00:07:41,280 Speaker 3: you're having a colleague do it for you, the way 148 00:07:41,360 --> 00:07:45,280 Speaker 3: you instruct interact, the level of detail that you have 149 00:07:45,800 --> 00:07:48,720 Speaker 3: changes compared to if you don't really think that that's 150 00:07:48,720 --> 00:07:52,160 Speaker 3: that important. And so you'll be surprised how often people 151 00:07:52,320 --> 00:07:55,160 Speaker 3: use AI like it's Google, and it's not Google. And 152 00:07:55,200 --> 00:07:57,400 Speaker 3: so if you use it like that, you are missing 153 00:07:57,400 --> 00:08:00,720 Speaker 3: out on ninety five percent of the benefits of the. 154 00:08:00,720 --> 00:08:01,200 Speaker 2: Of the tech. 155 00:08:02,840 --> 00:08:04,320 Speaker 4: Describe your leadership style. 156 00:08:07,240 --> 00:08:08,200 Speaker 2: Servant leadership. 157 00:08:09,320 --> 00:08:12,400 Speaker 3: I think it's asking people to do things that you 158 00:08:12,520 --> 00:08:18,440 Speaker 3: wouldn't do yourself is an abuse of of leadership, especially 159 00:08:18,520 --> 00:08:19,000 Speaker 3: if it is. 160 00:08:18,960 --> 00:08:20,280 Speaker 2: Something that you know. 161 00:08:20,640 --> 00:08:26,960 Speaker 3: Being a part of the pulling people forward and providing education, mentorship, 162 00:08:27,120 --> 00:08:29,440 Speaker 3: all of those things really requires you being in there, 163 00:08:29,480 --> 00:08:32,440 Speaker 3: being in the mud with people and having done it, 164 00:08:32,559 --> 00:08:35,280 Speaker 3: being a part of it changes what you you know, 165 00:08:35,400 --> 00:08:36,439 Speaker 3: push forward towards. 166 00:08:36,480 --> 00:08:39,040 Speaker 2: So for me, I think it's servant leadership all the way. 167 00:08:39,800 --> 00:08:44,040 Speaker 1: What did you have to learn about Monk and Monk's 168 00:08:44,080 --> 00:08:48,440 Speaker 1: proclivities that helped you shape your leadership style today? 169 00:08:49,920 --> 00:08:53,320 Speaker 3: Yeah, well that's a great question, I I I say, 170 00:08:53,600 --> 00:08:56,680 Speaker 3: you know, I say a lot. I spent some years 171 00:08:56,679 --> 00:09:01,400 Speaker 3: doing executive coaching, specifically for black and Latin next corporate 172 00:09:01,520 --> 00:09:04,440 Speaker 3: kind of you know, mid career professionals, and I say 173 00:09:04,480 --> 00:09:09,040 Speaker 3: all the time that I was a career career changer. 174 00:09:09,840 --> 00:09:12,320 Speaker 3: So every two years I was not in a new job, 175 00:09:12,360 --> 00:09:14,640 Speaker 3: I was in a new career. And so I was 176 00:09:14,679 --> 00:09:17,840 Speaker 3: an actor, I was in investment sales. I did investment 177 00:09:17,880 --> 00:09:20,319 Speaker 3: research on Wall Street while I was writing the book. 178 00:09:20,600 --> 00:09:24,160 Speaker 3: I've been in a bunch of different places, and what 179 00:09:24,240 --> 00:09:28,319 Speaker 3: you notice is that one different places have different completely 180 00:09:28,520 --> 00:09:31,520 Speaker 3: you know, completely different cultures, what people find important and 181 00:09:31,559 --> 00:09:34,040 Speaker 3: what you know, how we move forward with our work. 182 00:09:34,080 --> 00:09:37,160 Speaker 3: But there's a lot of core elements of how we interact, 183 00:09:37,600 --> 00:09:39,520 Speaker 3: how we want to be seen how we want to 184 00:09:39,559 --> 00:09:43,000 Speaker 3: show others that we see them. That is a through 185 00:09:43,040 --> 00:09:45,520 Speaker 3: line between everything that we do. So it helped me 186 00:09:45,600 --> 00:09:48,880 Speaker 3: become a better leader because I'm interacting with folks in 187 00:09:48,960 --> 00:09:52,400 Speaker 3: all you know, all different aspects. And it also helped 188 00:09:52,440 --> 00:09:55,280 Speaker 3: with being able to teach something like AI because you 189 00:09:55,360 --> 00:09:58,320 Speaker 3: get a view of how different people look at the 190 00:09:58,360 --> 00:10:00,240 Speaker 3: same problem. And at the end of the day, it's 191 00:10:00,240 --> 00:10:04,319 Speaker 3: a tool that helps you solve problems, business problems, creative problems. 192 00:10:05,200 --> 00:10:08,200 Speaker 3: And so getting that access to two different ways of 193 00:10:08,240 --> 00:10:11,360 Speaker 3: looking at it has been really beneficial in the work 194 00:10:11,400 --> 00:10:11,600 Speaker 3: I do. 195 00:10:11,679 --> 00:10:14,400 Speaker 1: Now, yeah, I'm going to ask the leadership question but 196 00:10:14,440 --> 00:10:18,560 Speaker 1: a different way, and so what would make someone want 197 00:10:18,600 --> 00:10:19,240 Speaker 1: to follow you? 198 00:10:21,880 --> 00:10:27,760 Speaker 2: What would make someone want to follow me? Wow? I 199 00:10:27,800 --> 00:10:30,520 Speaker 2: think if I'm looking. 200 00:10:30,320 --> 00:10:33,640 Speaker 3: At a at a leader, there is an element of 201 00:10:34,480 --> 00:10:38,640 Speaker 3: how will that person help me be better at, you know, 202 00:10:38,880 --> 00:10:41,640 Speaker 3: at whatever it is that I want to do and 203 00:10:41,679 --> 00:10:44,800 Speaker 3: in order to do that there you know, sometimes we 204 00:10:44,880 --> 00:10:47,440 Speaker 3: may pick the person who is in a position of 205 00:10:47,520 --> 00:10:50,439 Speaker 3: power in the career that we have and say, well, 206 00:10:50,480 --> 00:10:53,319 Speaker 3: that person can obviously get me the next job, internship, 207 00:10:53,400 --> 00:10:57,000 Speaker 3: or whatever it is. But I think a great leader 208 00:10:57,040 --> 00:10:59,240 Speaker 3: and you know, by no means am I saying I'm 209 00:10:59,240 --> 00:11:01,679 Speaker 3: a great leader, But I think something about me is 210 00:11:02,240 --> 00:11:04,920 Speaker 3: I take a genuine interest in other people. I want 211 00:11:04,960 --> 00:11:07,480 Speaker 3: to know what you know makes you take, what makes 212 00:11:07,520 --> 00:11:10,360 Speaker 3: you what do you view as success and why is 213 00:11:10,440 --> 00:11:12,360 Speaker 3: that and how do we get there? And what do 214 00:11:12,400 --> 00:11:14,960 Speaker 3: you want to do moving forward? Because I think for 215 00:11:15,080 --> 00:11:17,000 Speaker 3: any of us, and I'm noticing it now in my 216 00:11:17,120 --> 00:11:19,800 Speaker 3: life as I kind of moved from corporate to this 217 00:11:19,920 --> 00:11:24,040 Speaker 3: endeavor that to be fulfilled in life, to not just 218 00:11:24,160 --> 00:11:27,600 Speaker 3: work and pay bills till you die, it requires you 219 00:11:27,840 --> 00:11:30,760 Speaker 3: being used at your maximum, using all of the talents 220 00:11:30,800 --> 00:11:33,800 Speaker 3: that you have in some form of service to other people. 221 00:11:33,840 --> 00:11:37,000 Speaker 3: And so if that's not happening on both ends, then 222 00:11:37,080 --> 00:11:38,480 Speaker 3: you'll be really good at something. 223 00:11:38,280 --> 00:11:42,200 Speaker 2: You don't enjoy, or you will, you know, be struggling. 224 00:11:41,840 --> 00:11:43,440 Speaker 3: To do something that helps a lot of people, but 225 00:11:43,720 --> 00:11:46,400 Speaker 3: that you know that's not for you. So taking an 226 00:11:46,400 --> 00:11:50,080 Speaker 3: interest in folks and helping them find those things, I 227 00:11:50,120 --> 00:11:53,240 Speaker 3: think would be one of the reasons someone would be 228 00:11:53,240 --> 00:11:54,880 Speaker 3: interested in finally or listening. 229 00:11:55,679 --> 00:11:57,960 Speaker 1: Yeah, we spend a lot of time on the show 230 00:11:58,000 --> 00:12:02,520 Speaker 1: talking about many is the variety of ways we in 231 00:12:02,520 --> 00:12:05,839 Speaker 1: our community Black people can use or build leverage or 232 00:12:05,880 --> 00:12:11,559 Speaker 1: build technology to find wealth. And obviously the huge conversation 233 00:12:11,720 --> 00:12:16,479 Speaker 1: happening is about AI and that specific category of technology. 234 00:12:17,040 --> 00:12:19,760 Speaker 1: And so when you think about the racial wealth gap 235 00:12:20,480 --> 00:12:23,959 Speaker 1: and even the class. 236 00:12:23,559 --> 00:12:25,280 Speaker 4: Wealth gap, I guess you can even say. 237 00:12:25,160 --> 00:12:29,600 Speaker 1: That's you know, how can AI help us solve these 238 00:12:29,800 --> 00:12:31,160 Speaker 1: issues and these challenges? 239 00:12:32,360 --> 00:12:32,640 Speaker 2: Yeah? 240 00:12:32,760 --> 00:12:36,199 Speaker 3: Yeah, I mean this is sometime I'm extremely passionate about 241 00:12:36,200 --> 00:12:38,800 Speaker 3: because it can help it solve it in several different ways. 242 00:12:38,800 --> 00:12:43,240 Speaker 2: And so when you have this gap, that structure goes. 243 00:12:43,040 --> 00:12:47,040 Speaker 3: Down to where you got educated, the amount of opportunities 244 00:12:47,080 --> 00:12:49,760 Speaker 3: you got exposed to, what you think of when you 245 00:12:49,800 --> 00:12:53,320 Speaker 3: see a particular problem, all these different things that can 246 00:12:53,640 --> 00:12:57,320 Speaker 3: dictate how you move forward and trying to build wealth, 247 00:12:57,720 --> 00:13:00,720 Speaker 3: and what you think is possible, what you have access 248 00:13:00,760 --> 00:13:04,120 Speaker 3: to and all in all of those things, it is 249 00:13:04,200 --> 00:13:09,440 Speaker 3: a massive uh gap closer in some of the barriers 250 00:13:09,480 --> 00:13:11,839 Speaker 3: of entry across a lot of industries. 251 00:13:11,960 --> 00:13:13,760 Speaker 2: Right Like, if I wanted to start. 252 00:13:13,520 --> 00:13:18,280 Speaker 3: Something entrepreneurial, not only will I need to be extremely 253 00:13:18,320 --> 00:13:20,000 Speaker 3: good at the thing that I'm coming out to do, 254 00:13:20,080 --> 00:13:24,079 Speaker 3: whether it is designing sneakers, it is you know, starting 255 00:13:24,360 --> 00:13:27,080 Speaker 3: a small mom and pop store, whatever it is. Not 256 00:13:27,160 --> 00:13:29,360 Speaker 3: only do I need to be extremely good at that 257 00:13:29,480 --> 00:13:33,400 Speaker 3: to even give myself a chance to battle and succeed 258 00:13:33,440 --> 00:13:36,200 Speaker 3: in the economy. There's so many other aspects of that 259 00:13:36,280 --> 00:13:38,640 Speaker 3: work that I need to also be able to do. 260 00:13:39,080 --> 00:13:41,920 Speaker 2: And for folks who have been moved or. 261 00:13:42,080 --> 00:13:46,000 Speaker 3: Stepped aside in the process of learning those aspects, I'm 262 00:13:46,040 --> 00:13:48,960 Speaker 3: really playing, you know, I'm finding with both hands tied 263 00:13:49,000 --> 00:13:51,160 Speaker 3: behind my back. So when we talk about, you know, 264 00:13:51,200 --> 00:13:54,000 Speaker 3: how do I manage my my my finances, how do 265 00:13:54,120 --> 00:13:59,600 Speaker 3: I write proposals, how do I respond to rfpp RFPs, 266 00:13:59,640 --> 00:14:04,000 Speaker 3: How do WHY market my business? And how do I 267 00:14:04,080 --> 00:14:06,439 Speaker 3: find my brand voice? What is a brand voice? All 268 00:14:06,440 --> 00:14:07,840 Speaker 3: of these different things. 269 00:14:07,520 --> 00:14:10,800 Speaker 2: That you may have some of that knowledge, but you 270 00:14:11,120 --> 00:14:12,200 Speaker 2: a lot of times you don't. 271 00:14:12,280 --> 00:14:15,600 Speaker 3: And regardless of where you are, I work with, you know, 272 00:14:15,960 --> 00:14:20,520 Speaker 3: executive directors of nonprofits, corporate executives, people who are starting 273 00:14:20,520 --> 00:14:23,080 Speaker 3: out in their career, working out with working with students, 274 00:14:23,120 --> 00:14:26,400 Speaker 3: and everyone has gaps and everyone approaches this thing in 275 00:14:26,720 --> 00:14:29,480 Speaker 3: a different way. And that community aspect is what's beautiful 276 00:14:29,520 --> 00:14:30,960 Speaker 3: about the way we do our trainings. 277 00:14:31,000 --> 00:14:32,160 Speaker 2: That we're all sitting in the. 278 00:14:32,160 --> 00:14:35,400 Speaker 3: Same room and I'm encouraging people to whether it's sounds 279 00:14:35,400 --> 00:14:38,160 Speaker 3: smart or not or silly, and you just thought it 280 00:14:38,200 --> 00:14:40,000 Speaker 3: was cool that they put a green dot next to 281 00:14:40,040 --> 00:14:45,000 Speaker 3: the answer. Say it out loud, because those small missing, 282 00:14:45,360 --> 00:14:47,880 Speaker 3: you know, learnings that we all have is what makes 283 00:14:47,920 --> 00:14:50,640 Speaker 3: the is what's the difference. So, getting back directly to 284 00:14:50,680 --> 00:14:53,880 Speaker 3: your question, how does AI kind of close that? It 285 00:14:53,880 --> 00:14:57,120 Speaker 3: gives you access to learn in a style that is 286 00:14:57,800 --> 00:15:02,520 Speaker 3: exclusive or extreme me helpful to you about topics that 287 00:15:02,600 --> 00:15:06,240 Speaker 3: are important to you in a way that will be 288 00:15:06,440 --> 00:15:09,440 Speaker 3: resonant to you. And then you can then take action 289 00:15:09,880 --> 00:15:13,120 Speaker 3: and do things in a way that is faster, more efficient, 290 00:15:13,840 --> 00:15:16,480 Speaker 3: gets you to the benchmark, gets you to your zone 291 00:15:16,520 --> 00:15:18,800 Speaker 3: of genius, the thing that you are actually here to 292 00:15:18,840 --> 00:15:20,920 Speaker 3: compete on, the thing that you're shooting in the gym 293 00:15:20,960 --> 00:15:21,640 Speaker 3: all day about. 294 00:15:21,960 --> 00:15:25,880 Speaker 2: Let's get you to that. And so AI has that opportunity. 295 00:15:25,880 --> 00:15:28,680 Speaker 3: And so when you do that et scale across communities 296 00:15:29,080 --> 00:15:32,240 Speaker 3: and you take a whole class of people through corporate 297 00:15:32,240 --> 00:15:35,680 Speaker 3: America competing at a higher level and being able to 298 00:15:35,680 --> 00:15:40,280 Speaker 3: put themselves forward in the workforce, entrepreneurs competing globally at 299 00:15:40,320 --> 00:15:41,040 Speaker 3: a higher level. 300 00:15:41,120 --> 00:15:43,920 Speaker 2: What does that do to the wealth that our community has? 301 00:15:44,440 --> 00:15:47,520 Speaker 1: Yeah, you know, I think a lot of people more 302 00:15:47,560 --> 00:15:50,760 Speaker 1: and more every day are realizing. You know, a lot 303 00:15:50,800 --> 00:15:53,200 Speaker 1: of issue point is chat GBT for a lot of people, 304 00:15:53,200 --> 00:15:55,360 Speaker 1: it's just the jury point that most of us are 305 00:15:55,400 --> 00:15:58,080 Speaker 1: aware of. And when they put their first prompt in, 306 00:15:58,120 --> 00:15:59,800 Speaker 1: they're like, oh my god, just look at what this 307 00:15:59,840 --> 00:16:02,560 Speaker 1: thing can do. That can have a couple of different things. 308 00:16:02,840 --> 00:16:04,240 Speaker 1: Oh my god, look at what this thing can do, 309 00:16:04,320 --> 00:16:06,560 Speaker 1: or oh my god, look at what this thing you 310 00:16:06,600 --> 00:16:09,600 Speaker 1: can do. I'm in trouble, So I want to talk 311 00:16:09,640 --> 00:16:11,640 Speaker 1: about the AHA moment, like what. 312 00:16:11,680 --> 00:16:14,120 Speaker 4: Are you what are you seeing? 313 00:16:15,080 --> 00:16:18,680 Speaker 1: Is most common as the AHA moment for these black 314 00:16:18,840 --> 00:16:22,360 Speaker 1: entrepreneurs that you work with, when they realize how it 315 00:16:22,400 --> 00:16:23,880 Speaker 1: can be applicable to them. 316 00:16:24,040 --> 00:16:25,720 Speaker 4: Particularly to your earlier point. 317 00:16:27,800 --> 00:16:30,880 Speaker 3: I think there's a there's a couple Aha moments that 318 00:16:30,880 --> 00:16:33,360 Speaker 3: that are that happen all the time. There is the 319 00:16:33,480 --> 00:16:35,880 Speaker 3: you know, we'll put in a prompt that I know 320 00:16:36,080 --> 00:16:39,440 Speaker 3: typically has some fancy response that people like, Oh that's 321 00:16:39,440 --> 00:16:42,520 Speaker 3: that's interesting. I'm surprising. I'm surprised that it happens. I 322 00:16:42,520 --> 00:16:45,960 Speaker 3: think the level one AHA moment is uh and I 323 00:16:45,960 --> 00:16:48,720 Speaker 3: think where people spend their the most amount of time 324 00:16:48,760 --> 00:16:51,560 Speaker 3: and usually stay, which I think is a little disappointing, 325 00:16:51,720 --> 00:16:54,040 Speaker 3: is when you find out how much time and effort 326 00:16:54,160 --> 00:16:56,360 Speaker 3: it can save you on things, because in itself, I 327 00:16:56,360 --> 00:16:57,840 Speaker 3: mean that is incredible. 328 00:16:58,000 --> 00:17:00,960 Speaker 2: So if you've done work for any period of. 329 00:17:00,800 --> 00:17:03,680 Speaker 3: Any amount of time, you know the hours that it 330 00:17:03,800 --> 00:17:07,600 Speaker 3: takes to redo that power point to you know, rewrite 331 00:17:07,640 --> 00:17:10,639 Speaker 3: that memo, to write that email, whatever it is. And 332 00:17:10,720 --> 00:17:13,959 Speaker 3: so going through a couple exercises and getting that aha 333 00:17:14,160 --> 00:17:17,120 Speaker 3: of like wow, like I can really get this off 334 00:17:17,200 --> 00:17:20,480 Speaker 3: the ground in not less than half the time, is 335 00:17:20,520 --> 00:17:24,880 Speaker 3: that kind of first level. But for me, the moments 336 00:17:24,880 --> 00:17:28,000 Speaker 3: that I really find fascinating, what I think is kind 337 00:17:28,040 --> 00:17:31,199 Speaker 3: of the like exponential beauty of this technology are the 338 00:17:31,280 --> 00:17:34,480 Speaker 3: iholom or those aha moments on the top line. So 339 00:17:34,840 --> 00:17:37,240 Speaker 3: I call it, you know, the boost of your ambition. 340 00:17:37,920 --> 00:17:41,439 Speaker 3: And again, if you've worked or done anything, you have 341 00:17:41,720 --> 00:17:44,199 Speaker 3: been kind of conditioned to understand what you can do 342 00:17:44,359 --> 00:17:45,080 Speaker 3: when you can't do. 343 00:17:45,280 --> 00:17:46,560 Speaker 2: And whatever I'm going. 344 00:17:46,400 --> 00:17:49,360 Speaker 3: To propose or you know, take on will fall within 345 00:17:49,400 --> 00:17:51,000 Speaker 3: the bucket of what I can do. And I have 346 00:17:51,040 --> 00:17:54,080 Speaker 3: an idea of what I can do, and you you know, 347 00:17:54,200 --> 00:17:58,560 Speaker 3: working with folks across their their careers and getting to 348 00:17:58,640 --> 00:18:01,280 Speaker 3: that idea of when you see something that shows you 349 00:18:01,520 --> 00:18:04,800 Speaker 3: I can actually do something two or three step levels 350 00:18:04,800 --> 00:18:07,200 Speaker 3: above what I thought I could do before, because now 351 00:18:07,400 --> 00:18:09,680 Speaker 3: it doesn't take as long to get that ground research, 352 00:18:09,960 --> 00:18:13,600 Speaker 3: it doesn't take as long to coalesce these four different ideas, 353 00:18:13,600 --> 00:18:16,440 Speaker 3: it doesn't take as long or I'm able to look 354 00:18:16,480 --> 00:18:19,960 Speaker 3: at much more information. So now my ambition of the 355 00:18:20,000 --> 00:18:22,399 Speaker 3: projects I would I would take on, the business that 356 00:18:22,440 --> 00:18:24,359 Speaker 3: I would start, what I would do because if I 357 00:18:24,400 --> 00:18:27,560 Speaker 3: could have this, then I'd really do it. That AHA 358 00:18:28,200 --> 00:18:31,640 Speaker 3: is the one that is really groundbreaking because that AHA 359 00:18:31,680 --> 00:18:34,080 Speaker 3: then says, now you're going to go off and do 360 00:18:34,160 --> 00:18:36,840 Speaker 3: something that you didn't think you could do before. And 361 00:18:36,880 --> 00:18:40,240 Speaker 3: if we just keep doing that right across small businesses, 362 00:18:40,280 --> 00:18:42,560 Speaker 3: across people in the corporate world. Right if you're trying 363 00:18:42,560 --> 00:18:44,800 Speaker 3: to get a promotion and you have an idea of 364 00:18:44,800 --> 00:18:46,560 Speaker 3: what you think you can do in your eight hour day, 365 00:18:46,600 --> 00:18:48,280 Speaker 3: and then you get to this boost of like I 366 00:18:48,280 --> 00:18:50,080 Speaker 3: can do a completely different thing. 367 00:18:50,560 --> 00:18:52,520 Speaker 2: How do I change my strategic thinking? 368 00:18:52,680 --> 00:18:55,919 Speaker 3: How do I change my day around the abilities that 369 00:18:55,920 --> 00:18:56,920 Speaker 3: I that I now have. 370 00:18:58,680 --> 00:19:02,359 Speaker 4: What's in your EDC your everyday carry Like what are. 371 00:19:02,280 --> 00:19:05,440 Speaker 1: The things that monk has to have before he leaves 372 00:19:05,440 --> 00:19:08,399 Speaker 1: the house, before he leaves the apartment, Like these things 373 00:19:08,400 --> 00:19:12,640 Speaker 1: help you get through the tools the things that help 374 00:19:12,680 --> 00:19:14,639 Speaker 1: you get through your day to be most productive. And 375 00:19:14,640 --> 00:19:18,800 Speaker 1: you can't say just your phone because everybody. 376 00:19:17,920 --> 00:19:19,840 Speaker 3: Now it cannot be just my phone. I'd be I'd 377 00:19:19,840 --> 00:19:22,800 Speaker 3: be naked out that the phone is really important. I 378 00:19:22,840 --> 00:19:27,840 Speaker 3: need headphones if I'm gonna be anywhere. I have a 379 00:19:27,880 --> 00:19:32,000 Speaker 3: Sony w X. I don't know why they don't have 380 00:19:32,040 --> 00:19:34,359 Speaker 3: like simple names, but it's like it's over the ear, 381 00:19:34,600 --> 00:19:38,240 Speaker 3: the really nice, the nicest headphones I've ever gotten, and 382 00:19:38,560 --> 00:19:41,480 Speaker 3: I you know, you know, block out sound, listen to music, 383 00:19:41,600 --> 00:19:44,080 Speaker 3: listen to stuff and and really kind of zone out. 384 00:19:45,000 --> 00:19:49,720 Speaker 3: So headphones, good bag. I love you know, podcasts and 385 00:19:50,440 --> 00:19:57,720 Speaker 3: music and yeah, opportunities to take part of culture is 386 00:19:58,080 --> 00:19:59,960 Speaker 3: also really big for me. I know it's not a 387 00:20:00,080 --> 00:20:02,520 Speaker 3: think specifically if you're leaving the house, but if I 388 00:20:02,560 --> 00:20:05,200 Speaker 3: didn't have access to be able to, you know, watch 389 00:20:05,280 --> 00:20:07,919 Speaker 3: the shows that we're that we're all watching and you know, 390 00:20:08,200 --> 00:20:10,560 Speaker 3: partaking that conversation, I don't know, I don't know what 391 00:20:10,640 --> 00:20:10,960 Speaker 3: I do. 392 00:20:11,520 --> 00:20:14,040 Speaker 4: So headphones is the only thing that in your phone 393 00:20:14,080 --> 00:20:14,800 Speaker 4: that's all you need. 394 00:20:15,359 --> 00:20:17,600 Speaker 2: I need. I need my headphones and my phone and 395 00:20:17,920 --> 00:20:19,879 Speaker 2: you know, my wallet. And I think we're good to go. 396 00:20:20,359 --> 00:20:20,800 Speaker 4: I dig it. 397 00:20:21,520 --> 00:20:24,320 Speaker 1: Talk to me about a book that you didn't write, 398 00:20:24,320 --> 00:20:26,600 Speaker 1: another book that might have shaped your thinking. 399 00:20:28,480 --> 00:20:33,600 Speaker 3: Yeah, I mean there's there's there's so many, uh great books. 400 00:20:33,640 --> 00:20:35,840 Speaker 3: And and it's always funny when I talk to people 401 00:20:35,840 --> 00:20:37,399 Speaker 3: who are in business and you say, like, what's the 402 00:20:37,440 --> 00:20:39,720 Speaker 3: book that you that you enjoy? It's always a nonfiction 403 00:20:39,840 --> 00:20:43,439 Speaker 3: business related book. But there's a lot of fiction that 404 00:20:43,720 --> 00:20:45,639 Speaker 3: has changed the way I look at things. 405 00:20:45,720 --> 00:20:46,040 Speaker 2: I think. 406 00:20:46,880 --> 00:20:49,679 Speaker 3: I'm a I'm a current really big fan of a 407 00:20:49,720 --> 00:20:54,720 Speaker 3: personval Ever Percival Everett, who wrote America. 408 00:20:54,960 --> 00:20:57,880 Speaker 2: He wrote a Rasure which became. 409 00:20:57,560 --> 00:21:00,920 Speaker 3: American Fiction with Jeffrey Wright and Sterling K. 410 00:21:01,080 --> 00:21:04,560 Speaker 2: Brown and all of them. The book of Ratio was incredible. 411 00:21:04,920 --> 00:21:07,400 Speaker 3: He had another book called Trees just kind of talk 412 00:21:07,840 --> 00:21:12,760 Speaker 3: just really And what was interesting for me is as I, 413 00:21:12,840 --> 00:21:16,399 Speaker 3: as I move forward, really leaning into the uniqueness of 414 00:21:16,440 --> 00:21:19,560 Speaker 3: who you are, the way you talk, the way you 415 00:21:19,560 --> 00:21:22,160 Speaker 3: you know, think of things, the way you interact with things, 416 00:21:23,000 --> 00:21:26,080 Speaker 3: especially as I do this this AI work and interact 417 00:21:26,080 --> 00:21:29,159 Speaker 3: with people who are all you know, from all different backgrounds, 418 00:21:29,880 --> 00:21:33,000 Speaker 3: and the way you interact with AI is around language. 419 00:21:33,480 --> 00:21:36,280 Speaker 3: And so the language that we all use, we can 420 00:21:36,320 --> 00:21:40,359 Speaker 3: be in the same socioeconomic class. We can be whatever 421 00:21:40,400 --> 00:21:42,840 Speaker 3: it is. The language you use is different, and I 422 00:21:42,840 --> 00:21:45,879 Speaker 3: think it's really it's beautiful. Like I think, you know, 423 00:21:45,920 --> 00:21:48,960 Speaker 3: we all kind of raised to be ashamed of the 424 00:21:49,040 --> 00:21:51,959 Speaker 3: bonyx and ashamed of like how people talk and everything 425 00:21:51,960 --> 00:21:53,760 Speaker 3: like that. But I'm like, it's beautiful that there's a 426 00:21:54,200 --> 00:21:56,800 Speaker 3: you can sound like you're from Memphis, you sound like 427 00:21:56,840 --> 00:21:59,719 Speaker 3: you're from Houston, and you sound like you're from Jersey 428 00:21:59,760 --> 00:22:01,800 Speaker 3: and I can tell and no, you're from Philly. You 429 00:22:01,840 --> 00:22:03,920 Speaker 3: just said John. Like all of that is really beautiful 430 00:22:03,960 --> 00:22:07,280 Speaker 3: and and like some of those those books like Trees 431 00:22:07,359 --> 00:22:11,440 Speaker 3: and Erasure, is just the use of language. Tony Morrison 432 00:22:11,480 --> 00:22:14,440 Speaker 3: is another person of just really leaning into like, our 433 00:22:14,560 --> 00:22:18,560 Speaker 3: language is beautiful and any anyone that's telling you otherwise 434 00:22:18,640 --> 00:22:21,080 Speaker 3: is just it's a lie. 435 00:22:22,280 --> 00:22:26,159 Speaker 1: What are some low cost or no cost tools that 436 00:22:26,280 --> 00:22:30,560 Speaker 1: black entrepreneurs, small business owners, mom and pops should be 437 00:22:30,680 --> 00:22:34,040 Speaker 1: using to help them achieve scale or to just grow. 438 00:22:34,119 --> 00:22:35,600 Speaker 1: Maybe scale isn't even the goal? 439 00:22:36,520 --> 00:22:41,000 Speaker 3: Yeah, yeah, I think you know one, scale not not 440 00:22:41,080 --> 00:22:43,320 Speaker 3: being the goal is a big one. 441 00:22:43,320 --> 00:22:45,679 Speaker 2: You know. I think getting into an understanding of like 442 00:22:45,760 --> 00:22:47,320 Speaker 2: what do you want? What do you want? 443 00:22:47,359 --> 00:22:49,879 Speaker 3: Your days to look like and what what does success 444 00:22:49,920 --> 00:22:50,600 Speaker 3: look like for you? 445 00:22:51,720 --> 00:22:53,040 Speaker 2: And then a lot of stuff I'm going to say 446 00:22:53,080 --> 00:22:55,040 Speaker 2: is technology related. YouTube. 447 00:22:55,080 --> 00:22:57,720 Speaker 3: People are you know, if you're not on YouTube, just 448 00:22:57,760 --> 00:23:00,480 Speaker 3: seeing people talk about the thing that you're interested and 449 00:23:01,119 --> 00:23:04,879 Speaker 3: being able to kind of learn and adapt and find 450 00:23:04,880 --> 00:23:07,920 Speaker 3: community of people who are talking about what you do. 451 00:23:08,040 --> 00:23:09,720 Speaker 3: And it doesn't matter what you do. You can have 452 00:23:09,760 --> 00:23:12,480 Speaker 3: a hair salon in Miami, you can have, you know, 453 00:23:12,960 --> 00:23:15,960 Speaker 3: a laundromat in Detroit. There will be people online talking 454 00:23:15,960 --> 00:23:19,520 Speaker 3: about the ins and outs of what is working, not working, 455 00:23:19,760 --> 00:23:23,040 Speaker 3: the trends, all of that. I think that is one 456 00:23:23,200 --> 00:23:27,040 Speaker 3: that free education that's available online is one that is. 457 00:23:28,560 --> 00:23:30,800 Speaker 2: People don't tap into enough, even if you think you are. 458 00:23:31,840 --> 00:23:35,840 Speaker 1: Yeah, so often well, I guess historically we have, especially 459 00:23:35,840 --> 00:23:38,280 Speaker 1: in our communities. You're trying to build a business and 460 00:23:38,320 --> 00:23:40,959 Speaker 1: the only way you know how is by getting you know, 461 00:23:41,040 --> 00:23:43,600 Speaker 1: some consultant, some advisor who's probably going to cost you 462 00:23:43,640 --> 00:23:45,760 Speaker 1: some money to be able to help you figure out 463 00:23:45,760 --> 00:23:49,280 Speaker 1: this strategic plan to grow. But now you have AI 464 00:23:49,520 --> 00:23:51,560 Speaker 1: and you talked a little bit about earlier. You know 465 00:23:51,720 --> 00:23:54,159 Speaker 1: this thing help you save time, but now let's use 466 00:23:54,200 --> 00:23:58,240 Speaker 1: it to a different level of helping you strategize. Can 467 00:23:58,280 --> 00:24:01,199 Speaker 1: you talk about how we should be thinking about it? 468 00:24:01,240 --> 00:24:05,879 Speaker 1: So when we are saving the chat GPT or Claude 469 00:24:05,960 --> 00:24:09,080 Speaker 1: or Perplexity or whatever we're using to a bookmark on 470 00:24:09,119 --> 00:24:11,879 Speaker 1: our you know, Chrome or whatever, we're downloading the app, 471 00:24:12,560 --> 00:24:16,320 Speaker 1: when we're going to that thing every day, how should 472 00:24:16,400 --> 00:24:22,359 Speaker 1: we be structuring the prompts, the questions that we ask 473 00:24:22,640 --> 00:24:25,560 Speaker 1: so that we get higher quality answers and responses. 474 00:24:27,520 --> 00:24:27,720 Speaker 2: Yeah. 475 00:24:27,800 --> 00:24:33,960 Speaker 3: I think in general, more destriptive language is key. And 476 00:24:34,080 --> 00:24:38,359 Speaker 3: so as an self audit for yourself, think about how 477 00:24:38,440 --> 00:24:42,280 Speaker 3: you give instructions to people, to anyone, because if you 478 00:24:42,320 --> 00:24:44,760 Speaker 3: are poor at giving instructions and you tend to have 479 00:24:44,800 --> 00:24:49,600 Speaker 3: people needing to do many revisions your chat GPT experiences, 480 00:24:49,840 --> 00:24:51,280 Speaker 3: you're not going to be getting the best out of 481 00:24:51,320 --> 00:24:54,800 Speaker 3: it because you don't you're not detailed, You are not 482 00:24:55,880 --> 00:24:58,200 Speaker 3: starting with the end in mind. I think is Another 483 00:24:58,240 --> 00:25:01,080 Speaker 3: thing is when you are coming to it again, here 484 00:25:01,200 --> 00:25:03,439 Speaker 3: is the like not thinking of it as Google and 485 00:25:03,480 --> 00:25:07,040 Speaker 3: thinking of it as this new technology. If it's Google, 486 00:25:07,119 --> 00:25:10,600 Speaker 3: you will ask it question one, where can I get this? 487 00:25:10,800 --> 00:25:12,919 Speaker 3: Then question two? You may know where you want to 488 00:25:12,960 --> 00:25:14,720 Speaker 3: get to, but you're asking it one by one and 489 00:25:14,760 --> 00:25:16,720 Speaker 3: then you're looking through the results and seeing which one 490 00:25:16,760 --> 00:25:17,359 Speaker 3: makes sense for you. 491 00:25:17,760 --> 00:25:18,280 Speaker 2: With AI. 492 00:25:18,480 --> 00:25:21,520 Speaker 3: Start at the end, I am preparing this presentation that 493 00:25:21,680 --> 00:25:23,200 Speaker 3: is that needs to do this. 494 00:25:23,720 --> 00:25:24,760 Speaker 2: It is for this. 495 00:25:24,680 --> 00:25:28,280 Speaker 3: Community, this group will be looking to hold it to 496 00:25:28,320 --> 00:25:30,760 Speaker 3: this level of standard. I want to make sure that 497 00:25:31,119 --> 00:25:35,040 Speaker 3: it combines these things, all of those things that may 498 00:25:35,119 --> 00:25:37,760 Speaker 3: feel like I don't do I need to say all that. Yeah, 499 00:25:37,800 --> 00:25:42,520 Speaker 3: it will dramatically improve what you get back when you 500 00:25:42,560 --> 00:25:46,920 Speaker 3: when you're you're working with it. And so two, it's 501 00:25:47,119 --> 00:25:50,840 Speaker 3: it's an interesting it's an interesting dilemma where a technology 502 00:25:50,880 --> 00:25:54,600 Speaker 3: is requiring you to be better in your soft skills. 503 00:25:55,040 --> 00:25:58,480 Speaker 3: But essentially you need to improve your soft skills. You 504 00:25:58,520 --> 00:26:02,359 Speaker 3: need to improve your own own clarity. Because sometimes people 505 00:26:02,400 --> 00:26:05,080 Speaker 3: will use AI and say the result was kind of crappy, 506 00:26:05,480 --> 00:26:07,879 Speaker 3: And the honest truth is you weren't even clear about 507 00:26:07,880 --> 00:26:10,320 Speaker 3: what you wanted yourself. You didn't even really know what 508 00:26:10,359 --> 00:26:12,680 Speaker 3: you wanted to do. And because you're not that clear 509 00:26:12,720 --> 00:26:14,840 Speaker 3: about it, this kind of brought you to the task. 510 00:26:14,920 --> 00:26:18,280 Speaker 3: And now here here is where we are. So again, 511 00:26:18,320 --> 00:26:21,760 Speaker 3: when we you know, center our humanity and who we 512 00:26:21,800 --> 00:26:24,800 Speaker 3: are and really focus on how do you strategically think 513 00:26:24,840 --> 00:26:28,320 Speaker 3: when you are partnered with someone who you respect, who 514 00:26:28,400 --> 00:26:31,640 Speaker 3: is eminently intelligent about the subject. 515 00:26:31,320 --> 00:26:33,480 Speaker 2: That we're going to work on. How do you collaborate? 516 00:26:33,520 --> 00:26:34,560 Speaker 2: How do you work through it? 517 00:26:35,359 --> 00:26:39,680 Speaker 3: And there's probably needs to be improvement there that will translate. 518 00:26:39,560 --> 00:26:40,920 Speaker 2: To how you use AI. 519 00:26:41,440 --> 00:26:41,760 Speaker 4: Yeah. 520 00:26:41,800 --> 00:26:46,600 Speaker 1: So the businesses that you get an opportunity to work with, 521 00:26:47,320 --> 00:26:48,840 Speaker 1: so I want you to talk about kind of the 522 00:26:48,880 --> 00:26:51,720 Speaker 1: categories that they're in, the the main verticals are there 523 00:26:51,760 --> 00:26:56,679 Speaker 1: in and based on those categories, what you typically find 524 00:26:56,760 --> 00:27:01,240 Speaker 1: as issues and concerns with how they approach AI is 525 00:27:01,280 --> 00:27:02,040 Speaker 1: an opportunity. 526 00:27:03,119 --> 00:27:06,200 Speaker 3: Yeah, yeah, I think so, you know, there's the there 527 00:27:06,200 --> 00:27:09,600 Speaker 3: are the corporate brands like the Grand ker Amino Funds, 528 00:27:09,640 --> 00:27:12,439 Speaker 3: and you know that is something that I think is 529 00:27:12,520 --> 00:27:15,040 Speaker 3: newer in the in the space as far as corporate 530 00:27:15,320 --> 00:27:17,439 Speaker 3: corporate brands finding ways to be a part of the 531 00:27:17,480 --> 00:27:22,080 Speaker 3: AI conversation through education and all of that. Some of 532 00:27:22,080 --> 00:27:25,800 Speaker 3: the other entities that we that we work with. We're 533 00:27:25,920 --> 00:27:29,720 Speaker 3: doing some training for fashion design students in Morgan State University, 534 00:27:30,560 --> 00:27:32,480 Speaker 3: doing some work with NJ I T and kind of 535 00:27:32,520 --> 00:27:34,120 Speaker 3: developing the you know, one of the. 536 00:27:34,040 --> 00:27:37,000 Speaker 2: First online AI self self. 537 00:27:36,720 --> 00:27:42,960 Speaker 3: Paid certifications as far as one of the the worries 538 00:27:43,359 --> 00:27:47,400 Speaker 3: or mistakes that I see in the education space is 539 00:27:47,560 --> 00:27:52,520 Speaker 3: students are constantly getting mixed messages. So the same university 540 00:27:53,000 --> 00:27:55,960 Speaker 3: you can be taking four courses, this other person is 541 00:27:55,960 --> 00:27:57,000 Speaker 3: taking four courses. 542 00:27:57,119 --> 00:27:58,840 Speaker 2: Three of your professors. 543 00:27:58,320 --> 00:28:00,600 Speaker 3: Told you don't you ever touch AI, and if I 544 00:28:00,680 --> 00:28:03,560 Speaker 3: even smell that you did, you're going to fail. And 545 00:28:03,600 --> 00:28:06,080 Speaker 3: then you have another professor who's like, this is the future. 546 00:28:06,160 --> 00:28:07,520 Speaker 3: Let me teach you how to use it in a 547 00:28:07,600 --> 00:28:11,960 Speaker 3: way that is helpful in this course. And the school 548 00:28:12,080 --> 00:28:14,760 Speaker 3: doesn't have an overall policy of how you should use it, 549 00:28:15,119 --> 00:28:16,960 Speaker 3: and so that kind of leads you out in the 550 00:28:17,080 --> 00:28:19,560 Speaker 3: you know, lingering on what makes sense. And then at 551 00:28:19,560 --> 00:28:21,159 Speaker 3: the other end of the school, maybe they have a 552 00:28:21,200 --> 00:28:23,400 Speaker 3: research hub where they're getting fifty million dollars a year 553 00:28:23,440 --> 00:28:26,200 Speaker 3: to research AI in there. But there we're not all 554 00:28:26,240 --> 00:28:29,000 Speaker 3: talking to each other about the same thing. And so 555 00:28:29,119 --> 00:28:31,399 Speaker 3: there really is a doom and gloom kind of fear. 556 00:28:31,560 --> 00:28:34,439 Speaker 3: This is going to make things too easy. How do 557 00:28:34,480 --> 00:28:38,400 Speaker 3: we teach if this thing is available, this AI is available, 558 00:28:38,400 --> 00:28:39,480 Speaker 3: how do I give you an essay? 559 00:28:39,520 --> 00:28:40,920 Speaker 2: If AI can make the essay? 560 00:28:41,440 --> 00:28:45,880 Speaker 3: And I always say, you know one, you still need 561 00:28:45,920 --> 00:28:49,960 Speaker 3: a craftsman with in front of these tools. If you 562 00:28:50,160 --> 00:28:52,000 Speaker 3: don't know how to write an essay, then it will 563 00:28:52,080 --> 00:28:55,800 Speaker 3: sound like an AI very generic essay because you don't 564 00:28:55,840 --> 00:28:57,520 Speaker 3: know what you're doing, you don't know what you're looking for. 565 00:28:57,600 --> 00:28:59,600 Speaker 2: You can't craft it, you can't do any of those things. 566 00:28:59,840 --> 00:29:02,080 Speaker 3: So the same way we had to change the way 567 00:29:02,080 --> 00:29:04,680 Speaker 3: we taught when the calculator came out. It's not like 568 00:29:04,720 --> 00:29:07,160 Speaker 3: you gave up on math. Calculator came out. Now you 569 00:29:07,160 --> 00:29:09,920 Speaker 3: can do it, forget it. You created math problems, right, 570 00:29:10,000 --> 00:29:12,240 Speaker 3: you created a thing to say. Now that I know 571 00:29:12,320 --> 00:29:15,680 Speaker 3: that you have this tool, let me test your thinking, 572 00:29:16,000 --> 00:29:19,640 Speaker 3: your creative like problem solving. And that's the you know, 573 00:29:19,720 --> 00:29:21,600 Speaker 3: that's the same thing that you know I keep saying 574 00:29:21,600 --> 00:29:23,320 Speaker 3: when you when you center the person. It's like, at 575 00:29:23,320 --> 00:29:26,240 Speaker 3: the end of the day, this tool is only really 576 00:29:26,240 --> 00:29:30,680 Speaker 3: helpful if you are a good creative thinker, a strategic thinker, 577 00:29:31,120 --> 00:29:33,239 Speaker 3: and I'll show you some ways to interact with it 578 00:29:33,280 --> 00:29:34,120 Speaker 3: to pull that out. 579 00:29:34,000 --> 00:29:35,280 Speaker 2: Of you and get better at that. 580 00:29:35,800 --> 00:29:38,560 Speaker 3: But the same thing kind of applies to to students 581 00:29:38,560 --> 00:29:41,600 Speaker 3: and something that I think we it's going to probably 582 00:29:41,640 --> 00:29:42,200 Speaker 3: take a while. 583 00:29:42,400 --> 00:29:44,840 Speaker 2: Universities tend to move slowly in these these types. 584 00:29:44,640 --> 00:29:47,200 Speaker 3: Of things, but that is the disadvantage, and so as 585 00:29:47,240 --> 00:29:50,240 Speaker 3: a student you have to kind of on your own 586 00:29:50,920 --> 00:29:53,040 Speaker 3: realize that, like, hey, I need to make sure I'm 587 00:29:53,960 --> 00:29:56,200 Speaker 3: staying you know, up to up to speed on this 588 00:29:56,280 --> 00:29:57,160 Speaker 3: on this technology. 589 00:29:57,320 --> 00:29:57,520 Speaker 4: Yeah. 590 00:29:58,560 --> 00:30:02,960 Speaker 1: Can you talk about how AI and technology education in 591 00:30:03,000 --> 00:30:07,320 Speaker 1: general can be structured or designed to not just teach 592 00:30:07,360 --> 00:30:09,520 Speaker 1: skills but in power ownership. 593 00:30:11,440 --> 00:30:15,800 Speaker 3: Yeah, I think that, you know, for us, in our framework, 594 00:30:15,840 --> 00:30:18,520 Speaker 3: one of the important things is understanding you know, how 595 00:30:18,560 --> 00:30:21,920 Speaker 3: this technology is working. Right, it's been trained on things 596 00:30:21,920 --> 00:30:24,360 Speaker 3: that have been created already and that you know, whether 597 00:30:24,400 --> 00:30:28,880 Speaker 3: it's creative books, whether it is manuals or whatever it is. 598 00:30:29,600 --> 00:30:30,480 Speaker 2: And so if you. 599 00:30:30,560 --> 00:30:34,160 Speaker 3: Are looking to use the tech really making sure that 600 00:30:34,520 --> 00:30:38,600 Speaker 3: you have an understanding of you know, centering yourself and 601 00:30:38,960 --> 00:30:40,800 Speaker 3: making sure that you have an understanding of what you 602 00:30:40,840 --> 00:30:44,400 Speaker 3: are kind of producing. So, if it's giving you facts, 603 00:30:44,880 --> 00:30:48,240 Speaker 3: verifying those facts, is it making a thing that I 604 00:30:48,280 --> 00:30:49,200 Speaker 3: tell people all the time? 605 00:30:49,480 --> 00:30:49,640 Speaker 2: You know? 606 00:30:49,720 --> 00:30:52,160 Speaker 3: Level one? Is it told me that fifty percent of 607 00:30:52,360 --> 00:30:54,720 Speaker 3: X y Z is you know this is this is 608 00:30:54,760 --> 00:30:56,800 Speaker 3: what the fact is. I'm going to go to the 609 00:30:56,800 --> 00:30:59,720 Speaker 3: website and verify that that fact is correct. There's a 610 00:30:59,760 --> 00:31:02,080 Speaker 3: peer a time where you absolutely needed to do that, 611 00:31:02,120 --> 00:31:03,800 Speaker 3: because most of the time it was a maid of 612 00:31:03,920 --> 00:31:07,520 Speaker 3: fact that's gotten a lot better. But the bigger or 613 00:31:07,560 --> 00:31:12,040 Speaker 3: the the a little bit deeper is just like anything else. 614 00:31:12,280 --> 00:31:15,280 Speaker 3: There are assumptions that are being made in how this 615 00:31:15,360 --> 00:31:17,640 Speaker 3: is presented to you. So if I'm presenting an answer 616 00:31:17,680 --> 00:31:21,480 Speaker 3: to you, I'm making some assumptions that this is true, 617 00:31:21,520 --> 00:31:23,800 Speaker 3: this may not be true, this is what you're looking for, 618 00:31:23,920 --> 00:31:26,800 Speaker 3: this is what you're not looking for. And so as 619 00:31:26,840 --> 00:31:29,400 Speaker 3: a user of AI, being able to kind of question 620 00:31:29,560 --> 00:31:31,520 Speaker 3: and say, all right, what assumptions did you make when 621 00:31:31,560 --> 00:31:35,880 Speaker 3: you gave me this summary of the of the events, 622 00:31:36,160 --> 00:31:37,800 Speaker 3: Because in order to give me a summary, you have 623 00:31:37,880 --> 00:31:40,160 Speaker 3: to cut some stuff out, you have to find that, 624 00:31:40,240 --> 00:31:43,200 Speaker 3: you know, leave some stuff in, and you'll be surprised. Oh, 625 00:31:43,240 --> 00:31:44,960 Speaker 3: I thought that you would be more interested in this 626 00:31:45,520 --> 00:31:48,920 Speaker 3: as opposed to this. Okay, no, actually I need more 627 00:31:48,960 --> 00:31:52,480 Speaker 3: information in this area or that assumption is not true. 628 00:31:52,720 --> 00:31:56,920 Speaker 3: So it is using your expertise and bringing in your 629 00:31:56,920 --> 00:32:00,480 Speaker 3: expertise constantly all the time as you're as you're working 630 00:32:00,520 --> 00:32:03,960 Speaker 3: with it, and it's a it's an ongoing process. Because 631 00:32:03,960 --> 00:32:08,360 Speaker 3: it's so quick to bring detailed information, you end up 632 00:32:08,360 --> 00:32:10,520 Speaker 3: getting kind of lazy. In how much you kind of 633 00:32:10,560 --> 00:32:12,760 Speaker 3: go through and say, well, let's let's. 634 00:32:12,560 --> 00:32:13,480 Speaker 2: Now go through this. 635 00:32:13,600 --> 00:32:16,280 Speaker 3: But you've got time now they made a report in 636 00:32:16,320 --> 00:32:18,560 Speaker 3: ten seconds and the like work on it. 637 00:32:20,320 --> 00:32:23,160 Speaker 1: I want you to leave this small business owners, the 638 00:32:23,280 --> 00:32:26,320 Speaker 1: entrepreneurs with some homework. So if you you do this 639 00:32:26,480 --> 00:32:28,719 Speaker 1: every day, and so you're teaching people how to use 640 00:32:28,760 --> 00:32:31,640 Speaker 1: these tools and giving them exposure to the tools. For 641 00:32:31,760 --> 00:32:35,520 Speaker 1: small business owners who may not yet have you know, 642 00:32:36,800 --> 00:32:39,920 Speaker 1: a folder bookmark of a bunch of you know, AI. 643 00:32:39,720 --> 00:32:45,320 Speaker 4: Tools like I do. What would you encourage. 644 00:32:44,880 --> 00:32:48,360 Speaker 1: Them to do having listened to you talk today as 645 00:32:48,440 --> 00:32:50,800 Speaker 1: a first step to make some progress or that they 646 00:32:50,840 --> 00:32:52,600 Speaker 1: can grow their business, they can get some of their 647 00:32:52,600 --> 00:32:55,760 Speaker 1: time back, they can you know, create some new revenue 648 00:32:55,760 --> 00:32:57,640 Speaker 1: streams or et cetera. What should they be doing? 649 00:32:59,040 --> 00:33:03,480 Speaker 3: Yeah, I think you know one I highly encourage, you know, 650 00:33:03,680 --> 00:33:06,320 Speaker 3: getting a joining a good newsletter. It's a lot of 651 00:33:06,400 --> 00:33:08,880 Speaker 3: newsletters around AI that kind of distill it in a 652 00:33:08,880 --> 00:33:11,360 Speaker 3: way that is, you know, some are much more tech 653 00:33:11,440 --> 00:33:12,640 Speaker 3: forward than others are. 654 00:33:12,640 --> 00:33:15,520 Speaker 2: Maybe application and what we're what we can use it with, 655 00:33:15,840 --> 00:33:16,240 Speaker 2: use it for. 656 00:33:17,920 --> 00:33:22,120 Speaker 3: I think another thing is really understanding what you are 657 00:33:22,240 --> 00:33:25,280 Speaker 3: trying to do with your with your small business and 658 00:33:25,320 --> 00:33:28,240 Speaker 3: maybe you and maybe that that process makes you realize 659 00:33:28,280 --> 00:33:30,480 Speaker 3: that you don't really know that you're you're not really sure, 660 00:33:30,520 --> 00:33:31,400 Speaker 3: like what is the goal? 661 00:33:31,520 --> 00:33:33,080 Speaker 2: What am I trying to you know, achieve? 662 00:33:33,160 --> 00:33:35,960 Speaker 3: You're just maybe your head has just been underwater and 663 00:33:36,000 --> 00:33:38,200 Speaker 3: you're just trying to stay open. And that's real and 664 00:33:38,240 --> 00:33:40,560 Speaker 3: that that that can be the case. So with AI, 665 00:33:40,760 --> 00:33:44,480 Speaker 3: it's you know, figuring out what you're trying to what 666 00:33:44,520 --> 00:33:47,000 Speaker 3: you want to do with your business and playing around 667 00:33:47,000 --> 00:33:49,240 Speaker 3: with it. You know, find some some training. 668 00:33:49,280 --> 00:33:51,040 Speaker 2: You know, always always. 669 00:33:50,800 --> 00:33:54,120 Speaker 3: Encourage people to reach out to us, and we love 670 00:33:54,160 --> 00:33:56,280 Speaker 3: to have conversations and find ways that we can we 671 00:33:56,320 --> 00:33:59,360 Speaker 3: can collaborate with folks. But find some some you know, 672 00:33:59,640 --> 00:34:02,760 Speaker 3: intro actually training of just how it works, and then 673 00:34:02,800 --> 00:34:05,400 Speaker 3: mess around with it, you know, give it opportunities to 674 00:34:05,560 --> 00:34:08,840 Speaker 3: like test things out, tell you something about you know, 675 00:34:08,920 --> 00:34:11,320 Speaker 3: tell you about something you already know, and then question 676 00:34:11,440 --> 00:34:14,319 Speaker 3: it and just see how it presents information to you, 677 00:34:14,840 --> 00:34:18,759 Speaker 3: see how that lands. And you know, that's that's where 678 00:34:18,760 --> 00:34:22,880 Speaker 3: you start. There's no one and done manual on AI. 679 00:34:23,120 --> 00:34:26,239 Speaker 3: So waiting for the like end all be all here 680 00:34:26,239 --> 00:34:28,160 Speaker 3: it is, You're gonna be waiting forever. 681 00:34:28,239 --> 00:34:31,040 Speaker 2: It really is just get in there. You know. 682 00:34:31,560 --> 00:34:33,960 Speaker 3: We obviously recommend having a framework to do it, but 683 00:34:34,000 --> 00:34:36,280 Speaker 3: like really getting in there and and and and messing 684 00:34:36,320 --> 00:34:37,880 Speaker 3: around with it and seeing how it works. 685 00:34:39,160 --> 00:34:41,560 Speaker 1: Black Tech Green Money is a production of Blavity Afro 686 00:34:41,680 --> 00:34:44,200 Speaker 1: Tech with the Black Effect Podcast Network in night Hire 687 00:34:44,320 --> 00:34:47,600 Speaker 1: Media and it's produced by Morgan Debonne and me Well Lucas, 688 00:34:47,840 --> 00:34:51,880 Speaker 1: with the additional production support by Kate McDonald and Jada McGee. 689 00:34:52,040 --> 00:34:54,719 Speaker 1: Special thank you to Michael Davis and Lovebeach or more 690 00:34:54,719 --> 00:34:56,880 Speaker 1: about my guess Other Tech This up is an innovators 691 00:34:56,880 --> 00:34:59,400 Speaker 1: at afrotech dot Com video version. 692 00:34:59,440 --> 00:35:02,000 Speaker 4: This episode, we'll drop to Black Tech Green Money on YouTube. 693 00:35:02,080 --> 00:35:02,680 Speaker 2: Some tap in. 694 00:35:03,480 --> 00:35:06,160 Speaker 1: Enjoy your Black Tech Green Money, Share us with somebody 695 00:35:07,000 --> 00:35:07,800 Speaker 1: go get your money. 696 00:35:08,440 --> 00:35:09,040 Speaker 4: Need some luck