1 00:00:01,520 --> 00:00:04,040 Speaker 1: Every day up. Wait, click your ass. 2 00:00:03,840 --> 00:00:04,920 Speaker 2: Up the Breakfast Club. 3 00:00:05,160 --> 00:00:06,640 Speaker 3: You're finished for y'all morning. 4 00:00:06,680 --> 00:00:10,440 Speaker 4: Everybody's d j en Vy, Jess Hilarious, Charlamagne, the goud 5 00:00:10,480 --> 00:00:11,680 Speaker 4: We are the Breakfast Club. 6 00:00:11,680 --> 00:00:14,080 Speaker 3: We got some special guests in the building, guys with 7 00:00:14,200 --> 00:00:16,080 Speaker 3: Sean and Troy Millings. 8 00:00:16,079 --> 00:00:18,919 Speaker 4: Now their invest Fast twenty twenty five is coming to 9 00:00:18,960 --> 00:00:21,560 Speaker 4: August twenty second through the twenty fourth for people like 10 00:00:21,720 --> 00:00:25,600 Speaker 4: Magic Johnson, Steve Harvey, Eastern Ray, Angela, Rod Stevene, Jackson, 11 00:00:25,640 --> 00:00:30,080 Speaker 4: to Chains, Terris, j DJ had Pretty V, John Hope, Brian, 12 00:00:30,200 --> 00:00:33,600 Speaker 4: Ryan Leslie and our very own Victams Charlomagne. 13 00:00:36,440 --> 00:00:44,040 Speaker 5: I was about to say that was crazy. 14 00:00:44,200 --> 00:00:46,199 Speaker 1: How many how many investments haven't been so for the. 15 00:00:46,159 --> 00:00:49,960 Speaker 6: Fifth flo congratulations man, you appreciate it. Jack Dorsey too, 16 00:00:50,280 --> 00:00:51,680 Speaker 6: Jack Dorsey, you. 17 00:00:51,640 --> 00:00:55,200 Speaker 7: Know it's interesting when you attempt to build something like this, 18 00:00:55,320 --> 00:00:57,040 Speaker 7: you don't know what is going to turn into. You 19 00:00:57,040 --> 00:00:59,280 Speaker 7: don't know if coach is going to show up. But 20 00:00:59,320 --> 00:01:01,320 Speaker 7: it's become a cultural staple. 21 00:01:01,720 --> 00:01:05,120 Speaker 5: Yeah, absolutely, man. Like I said five years ago, it 22 00:01:05,200 --> 00:01:07,760 Speaker 5: was an idea and shot he's had. We executed the 23 00:01:07,800 --> 00:01:10,720 Speaker 5: first year right through COVID. It was crazy. So to 24 00:01:10,720 --> 00:01:13,040 Speaker 5: see where it's at Now we talk about cultural events, 25 00:01:13,080 --> 00:01:15,120 Speaker 5: but it's the biggest, biggest business event in the world. 26 00:01:15,480 --> 00:01:17,200 Speaker 5: We talk about the amount of people that come through. 27 00:01:17,200 --> 00:01:21,480 Speaker 5: When you talk about the list of people, billionaires, entrepreneurs, 28 00:01:21,840 --> 00:01:24,679 Speaker 5: you know, everybody from trying to start to get a job. 29 00:01:25,480 --> 00:01:28,520 Speaker 5: It's a multitude of a bunch of people coming together 30 00:01:28,560 --> 00:01:29,320 Speaker 5: for the same cause. 31 00:01:29,959 --> 00:01:32,160 Speaker 4: Now, every year you do something different within Best Fast. 32 00:01:32,480 --> 00:01:34,360 Speaker 4: So what are you guys doing this year that's different? 33 00:01:34,800 --> 00:01:37,720 Speaker 6: Well, we got so we started the pitch competition last year. 34 00:01:37,760 --> 00:01:39,080 Speaker 3: It's water, by the way, that's water. 35 00:01:41,080 --> 00:01:41,559 Speaker 1: We started. 36 00:01:41,760 --> 00:01:43,880 Speaker 6: We started the pitch competition last year rest in peace 37 00:01:43,920 --> 00:01:45,360 Speaker 6: to nip We did it in the honor a Nipsey 38 00:01:45,400 --> 00:01:47,600 Speaker 6: Hustle and we had his brother, Black Sam. We had 39 00:01:47,640 --> 00:01:50,760 Speaker 6: the marathon come and we're refining it this year. You 40 00:01:50,760 --> 00:01:55,400 Speaker 6: know Paul Judges, he's like one of the top black 41 00:01:55,480 --> 00:01:58,320 Speaker 6: venture capitalists in America based in Atlanta, so we let 42 00:01:58,440 --> 00:02:01,560 Speaker 6: him just fully take it over. So it's only for 43 00:02:01,640 --> 00:02:04,760 Speaker 6: tech companies this year. One hundred and twenty five thousand dollars. 44 00:02:04,800 --> 00:02:07,120 Speaker 6: And then we got two chains. We got Angela Simmons 45 00:02:07,200 --> 00:02:11,480 Speaker 6: and we got Jalen Brown as judges. So we wanted 46 00:02:11,520 --> 00:02:14,160 Speaker 6: to kind of fine tune it because we know that 47 00:02:14,400 --> 00:02:16,919 Speaker 6: tech is the number one everybody talks about ali and 48 00:02:16,919 --> 00:02:18,040 Speaker 6: all of that. So it's like we talked about the 49 00:02:18,080 --> 00:02:20,640 Speaker 6: problems a lot, let's talk about some solutions. List empower 50 00:02:20,680 --> 00:02:23,280 Speaker 6: the next generation of entrepreneurs. We know that capital is 51 00:02:23,320 --> 00:02:26,320 Speaker 6: a big problem in our community. John Hope Bryant. So 52 00:02:26,520 --> 00:02:28,560 Speaker 6: what we're doing with him is that he's actually going 53 00:02:28,639 --> 00:02:31,320 Speaker 6: to be doing on stage mentoring. It's a challenge, like 54 00:02:31,400 --> 00:02:33,640 Speaker 6: five entrepreneurs is going to win opportunity to get on 55 00:02:33,680 --> 00:02:35,680 Speaker 6: stage with him. They're going to tell him about their 56 00:02:35,720 --> 00:02:38,000 Speaker 6: pain points, what's going wrong in their business. He's going 57 00:02:38,040 --> 00:02:39,920 Speaker 6: to give him real time feedback, and then the winner 58 00:02:40,160 --> 00:02:42,320 Speaker 6: is going to get his mentorship package just valued it 59 00:02:42,360 --> 00:02:45,360 Speaker 6: over twenty five thousand. It's like credit is access to capital. 60 00:02:45,480 --> 00:02:48,200 Speaker 6: It's like phone calls, the whole thing. So we're doing 61 00:02:48,240 --> 00:02:48,919 Speaker 6: that this year. 62 00:02:49,160 --> 00:02:51,760 Speaker 5: We have we got the deal room too, So this 63 00:02:51,800 --> 00:02:53,680 Speaker 5: is something that's important especially in our world. 64 00:02:53,760 --> 00:02:55,680 Speaker 2: Like a lot of people come with you ideas and 65 00:02:55,720 --> 00:02:56,080 Speaker 2: a lot. 66 00:02:56,000 --> 00:02:59,560 Speaker 5: Of deals go through your team and you can't fulfill 67 00:02:59,600 --> 00:03:01,400 Speaker 5: them are and so a lot of people don't have 68 00:03:01,440 --> 00:03:03,280 Speaker 5: access to that. And so our thing was like, yo, 69 00:03:03,360 --> 00:03:05,640 Speaker 5: if we can create a room with those type of 70 00:03:05,680 --> 00:03:08,560 Speaker 5: deals and have it vetted from religate companies inside the. 71 00:03:08,520 --> 00:03:10,440 Speaker 2: World at tech and all other avenues. 72 00:03:10,520 --> 00:03:12,200 Speaker 5: Why not bring that to our audience and let them 73 00:03:12,240 --> 00:03:13,560 Speaker 5: see what this is like so they could be part 74 00:03:13,600 --> 00:03:15,600 Speaker 5: of those deals as well. So we're trying to stimulate 75 00:03:15,600 --> 00:03:17,480 Speaker 5: the economy as many as possible. 76 00:03:17,120 --> 00:03:19,480 Speaker 6: And we got deals in Africa that we're gonna bring 77 00:03:19,480 --> 00:03:20,960 Speaker 6: it and we're doing for the first time ever, we're 78 00:03:20,960 --> 00:03:24,359 Speaker 6: doing a collaboration comedy show with eighty five South on Thursday. 79 00:03:24,639 --> 00:03:26,120 Speaker 6: So you're gonna make it like a whole week So 80 00:03:26,760 --> 00:03:29,280 Speaker 6: it starts on Thursday. Is the kickoff comedy show eighty 81 00:03:29,280 --> 00:03:32,799 Speaker 6: fiurselfs and Block shout to Jack dorson a who team 82 00:03:32,840 --> 00:03:35,720 Speaker 6: at Block. So the weekend is having a concert at 83 00:03:35,720 --> 00:03:39,120 Speaker 6: the State has Been Stadium on Thursday. So Block is 84 00:03:39,200 --> 00:03:41,840 Speaker 6: cash it. You know, Block owns cash app, so they're 85 00:03:41,840 --> 00:03:46,800 Speaker 6: giving away tickets for investments purchasers to get access to 86 00:03:46,920 --> 00:03:50,400 Speaker 6: the weekend concert also, so it's like a long list 87 00:03:50,400 --> 00:03:50,960 Speaker 6: of different things. 88 00:03:51,640 --> 00:03:59,800 Speaker 7: So's eyl gonna, you know, let Africa take over inst 89 00:03:59,640 --> 00:04:00,880 Speaker 7: that what they're talking about. 90 00:04:00,840 --> 00:04:04,680 Speaker 1: It onto it became Africanized. 91 00:04:06,320 --> 00:04:11,240 Speaker 2: The Yellow Fever cars. Ready you know what. 92 00:04:11,280 --> 00:04:13,080 Speaker 5: We want to make sure that we can bridge that 93 00:04:13,160 --> 00:04:15,080 Speaker 5: gap and do it in the best way. And so 94 00:04:15,120 --> 00:04:16,760 Speaker 5: a lot of people have seen us go to Africa 95 00:04:17,440 --> 00:04:19,280 Speaker 5: a few times over the past couple of months, but 96 00:04:19,320 --> 00:04:21,440 Speaker 5: we're not going there just as travelers. We're going over 97 00:04:21,480 --> 00:04:23,400 Speaker 5: there to see business opportunities, and now we're bringing those 98 00:04:23,440 --> 00:04:25,960 Speaker 5: business opportunities back to investmentst and so to. 99 00:04:25,880 --> 00:04:26,520 Speaker 2: Bridge that gap. 100 00:04:26,560 --> 00:04:28,320 Speaker 5: A lot of people go to you know, Ghana and 101 00:04:28,360 --> 00:04:31,040 Speaker 5: Nigeria for December to party, but they leave by. 102 00:04:31,000 --> 00:04:33,120 Speaker 7: The way, I'm joking. I think that's the stupidest conversation 103 00:04:33,200 --> 00:04:33,560 Speaker 7: in the world. 104 00:04:33,560 --> 00:04:33,960 Speaker 1: I don't know what. 105 00:04:35,920 --> 00:04:37,680 Speaker 6: The crazy thing is that I saw a video when 106 00:04:37,720 --> 00:04:39,000 Speaker 6: it was like, Yo, I had a great time when 107 00:04:39,040 --> 00:04:40,560 Speaker 6: Janet Jackson was there. We speak of but we spoke 108 00:04:40,600 --> 00:04:44,760 Speaker 6: about this they the Africans ran it then when he 109 00:04:44,839 --> 00:04:48,359 Speaker 6: had a great time. It's like nothing has really changed. 110 00:04:48,400 --> 00:04:50,360 Speaker 6: But like you said, I mean, it's a matter of 111 00:04:51,040 --> 00:04:52,960 Speaker 6: really just bridging the gap. It's a lot like I 112 00:04:53,040 --> 00:04:55,240 Speaker 6: like vic Mens's content a lot. You follow him, Yeah, 113 00:04:55,680 --> 00:04:58,599 Speaker 6: Like he talked a lot about the diaspora wars, and 114 00:04:58,640 --> 00:05:00,240 Speaker 6: there's a lot of that going on right now. That's 115 00:05:00,279 --> 00:05:03,520 Speaker 6: a lot of division. But Ultimately, it's not helpful to anybody, 116 00:05:03,600 --> 00:05:06,400 Speaker 6: Like it's helpful for us to work with the continent, 117 00:05:06,680 --> 00:05:09,400 Speaker 6: it's beneficial for people on the continent to work with us. 118 00:05:09,440 --> 00:05:12,040 Speaker 6: Like us dividing each other. It's not like we at 119 00:05:12,120 --> 00:05:15,080 Speaker 6: the lowest level when it comes to anything as far 120 00:05:15,080 --> 00:05:17,719 Speaker 6: as economic empowerment. So we're not really in a position 121 00:05:17,760 --> 00:05:23,080 Speaker 6: to fight. We actually going to Africa. We're going to 122 00:05:23,080 --> 00:05:27,560 Speaker 6: Benin and then we're going to Iric Coast. We got 123 00:05:27,600 --> 00:05:29,800 Speaker 6: invited by the government of Benin. You know, I don't 124 00:05:29,800 --> 00:05:33,080 Speaker 6: know if you saw, but they recently see Ira got citizenship. Yes, 125 00:05:33,160 --> 00:05:35,520 Speaker 6: so they really want to that's the crazy thing. That's 126 00:05:35,520 --> 00:05:37,440 Speaker 6: the crazy thing about Like there's a big notion of 127 00:05:37,480 --> 00:05:41,080 Speaker 6: like Africans don't like black people from America. That's not true. Like, 128 00:05:41,200 --> 00:05:42,960 Speaker 6: of course you're gonna find one or two people, but 129 00:05:43,520 --> 00:05:46,200 Speaker 6: like they like, how can we tap in with y'all, 130 00:05:46,200 --> 00:05:49,120 Speaker 6: How can we attract more people, how we can attract 131 00:05:49,200 --> 00:05:51,919 Speaker 6: more investment, Like how can we get more tourism? Like 132 00:05:51,960 --> 00:05:54,159 Speaker 6: this is something that these governments are actively trying to do. 133 00:05:54,200 --> 00:05:56,200 Speaker 6: Ghana did a great job of it, but they're not 134 00:05:56,240 --> 00:05:59,279 Speaker 6: the only country. We went to Rwanda, we went to Kenya, 135 00:05:59,480 --> 00:06:02,040 Speaker 6: We're going to Benin, we going to Ivory Coach. This 136 00:06:02,080 --> 00:06:04,880 Speaker 6: is all invitations from private sector and the public sector 137 00:06:05,400 --> 00:06:09,680 Speaker 6: saying like, look, we understand the power that you guys 138 00:06:09,680 --> 00:06:11,799 Speaker 6: have in America as far as on the cultural side 139 00:06:11,920 --> 00:06:15,000 Speaker 6: and economic side as well, come like work with us, 140 00:06:15,040 --> 00:06:17,400 Speaker 6: Like we want to have you guys here. So I 141 00:06:17,440 --> 00:06:19,440 Speaker 6: just want to dispel that rumor because that's something that 142 00:06:19,480 --> 00:06:22,120 Speaker 6: it has been permeated of, like they don't even like us, 143 00:06:22,120 --> 00:06:25,039 Speaker 6: they don't even like Black Americans. Like that's not true. 144 00:06:25,520 --> 00:06:27,719 Speaker 5: It's crazy. So that those trips that he's talking about. 145 00:06:27,760 --> 00:06:29,560 Speaker 5: While we were there, people is trying to invite us 146 00:06:29,560 --> 00:06:31,960 Speaker 5: to that country. So Uganda was on the South Africa 147 00:06:32,000 --> 00:06:33,760 Speaker 5: was on the list. They saw that we were coming 148 00:06:33,760 --> 00:06:35,440 Speaker 5: there and they respect us from the platform that we 149 00:06:35,480 --> 00:06:37,120 Speaker 5: built in America and they're like, you guys are here 150 00:06:37,120 --> 00:06:38,880 Speaker 5: for business and we want people to know that this 151 00:06:38,960 --> 00:06:41,479 Speaker 5: business taking place. So when we were in Rwanda, it 152 00:06:41,560 --> 00:06:43,880 Speaker 5: was like, wait, we've never even seen this before, right, 153 00:06:43,920 --> 00:06:46,359 Speaker 5: nobody's ever talked about Rowanda. All we think about is 154 00:06:46,640 --> 00:06:48,720 Speaker 5: the movie that we know from the nineties, and then 155 00:06:48,720 --> 00:06:49,960 Speaker 5: you get there. It's to say if this is the 156 00:06:50,000 --> 00:06:52,000 Speaker 5: cleanest place and I'm like, wait, how come people don't 157 00:06:52,040 --> 00:06:52,840 Speaker 5: know what's happening here? 158 00:06:52,920 --> 00:06:53,000 Speaker 7: Right? 159 00:06:53,080 --> 00:06:53,799 Speaker 2: Then we go to Kenya. 160 00:06:53,800 --> 00:06:56,200 Speaker 5: It's the same thing now, Benin it's that independence that 161 00:06:56,279 --> 00:06:58,239 Speaker 5: the President's like, you guys need to come the seatra 162 00:06:58,279 --> 00:07:00,400 Speaker 5: thing happened last week. But they're like, I want you 163 00:07:00,440 --> 00:07:02,240 Speaker 5: to see what independence state looks like here. I want 164 00:07:02,240 --> 00:07:03,280 Speaker 5: you to be a part of it, and I want 165 00:07:03,360 --> 00:07:05,240 Speaker 5: you to show people that this business the same thing 166 00:07:05,240 --> 00:07:09,120 Speaker 5: in Ivery Coast. This was somebody in the business world 167 00:07:09,160 --> 00:07:09,520 Speaker 5: that's like. 168 00:07:09,520 --> 00:07:10,320 Speaker 2: I love these guys. 169 00:07:10,520 --> 00:07:12,040 Speaker 5: Can they come while they're on this side of the 170 00:07:12,040 --> 00:07:13,840 Speaker 5: country side of the world. And we're like, of course, 171 00:07:14,200 --> 00:07:14,640 Speaker 5: let's do it. 172 00:07:14,640 --> 00:07:16,760 Speaker 6: And mind you, these aren't even English speaking countries. They 173 00:07:16,760 --> 00:07:17,280 Speaker 6: speak French. 174 00:07:17,480 --> 00:07:18,560 Speaker 2: Yeah, I've been working on my friends. 175 00:07:19,320 --> 00:07:23,160 Speaker 5: Yeah yeah, yeah, yeah, yeah, sweet Troy. 176 00:07:23,320 --> 00:07:26,360 Speaker 6: It travels across even language barriers. 177 00:07:27,280 --> 00:07:28,200 Speaker 3: So what do you tell people? 178 00:07:28,240 --> 00:07:30,520 Speaker 4: You know, when I met you, guys whatever, seventy eight 179 00:07:30,600 --> 00:07:33,320 Speaker 4: years ago, you all talking about crypto. Right at the time, 180 00:07:33,400 --> 00:07:35,080 Speaker 4: I didn't understand it and I wasn't into it, and 181 00:07:35,120 --> 00:07:36,160 Speaker 4: it was real low and now it's. 182 00:07:36,080 --> 00:07:38,320 Speaker 3: Through the roof, right, it happens to a lot of us. 183 00:07:38,680 --> 00:07:41,360 Speaker 4: So what do you tell people that are entry level 184 00:07:41,400 --> 00:07:43,280 Speaker 4: and saying, what's the next thing that I should be 185 00:07:43,280 --> 00:07:43,680 Speaker 4: looking at. 186 00:07:43,680 --> 00:07:45,840 Speaker 3: They're looking towards that is affordable for them. 187 00:07:46,480 --> 00:07:48,480 Speaker 6: I mean, right now, I'll let you talk about but 188 00:07:48,800 --> 00:07:52,960 Speaker 6: AI revolution, So we've been talking about in it. AI 189 00:07:53,000 --> 00:07:55,240 Speaker 6: is thought the future is right now, and it's only 190 00:07:55,240 --> 00:07:57,119 Speaker 6: going to get bigger. You see the number one company 191 00:07:57,120 --> 00:08:00,280 Speaker 6: in the world in video five years ago, no nobody 192 00:08:00,280 --> 00:08:05,400 Speaker 6: even heard of video. Now they're bigger than Apple, Microsoft, Google, Meta. 193 00:08:05,800 --> 00:08:07,600 Speaker 6: What does that tell you? What do they do? They 194 00:08:07,640 --> 00:08:12,280 Speaker 6: make computer chips. So it's like you got Taiwan Semiconductor right. Like, 195 00:08:13,160 --> 00:08:16,280 Speaker 6: artificial intelligence is not going anywhere. That's another major focus 196 00:08:16,360 --> 00:08:18,640 Speaker 6: on it for invest fest. This shit we can't run 197 00:08:18,680 --> 00:08:20,560 Speaker 6: from it, we can't hide from it. Like you got 198 00:08:20,560 --> 00:08:23,360 Speaker 6: to invest your money in these technology companies. You got 199 00:08:23,440 --> 00:08:27,560 Speaker 6: to invest your money in these artificial intelligence companies. Crypto's 200 00:08:27,600 --> 00:08:31,120 Speaker 6: not going anywhere either, but AI is literally like, the 201 00:08:31,120 --> 00:08:32,920 Speaker 6: world is not even gonna look the same in five 202 00:08:32,920 --> 00:08:34,440 Speaker 6: and ten years, It's gonna be completely different. 203 00:08:34,480 --> 00:08:37,200 Speaker 5: This is gonna be the greatest wealth transfer this this 204 00:08:37,440 --> 00:08:40,000 Speaker 5: moment in time. We said that last night, this is 205 00:08:40,040 --> 00:08:43,040 Speaker 5: the most important time in terms of investing. We've never 206 00:08:43,040 --> 00:08:45,080 Speaker 5: seen returns like this. We've never seen a company go 207 00:08:45,160 --> 00:08:47,640 Speaker 5: up by five thousand percent. We've never seen a four 208 00:08:47,720 --> 00:08:50,160 Speaker 5: trillion dollar company, let alone a three trillion dollar company 209 00:08:50,160 --> 00:08:52,520 Speaker 5: in it Like that's happening in this lifetime. As we 210 00:08:52,559 --> 00:08:54,880 Speaker 5: talked about it, when we talked five years ago, and 211 00:08:54,880 --> 00:08:57,520 Speaker 5: that you asked that question, we told you TSM, We 212 00:08:57,600 --> 00:08:59,400 Speaker 5: told you Microsoft because we knew that they were going 213 00:08:59,480 --> 00:09:01,839 Speaker 5: to lead and that hasn't changed. And if you look 214 00:09:01,880 --> 00:09:05,480 Speaker 5: at how the economy is looking right now, those companies 215 00:09:05,600 --> 00:09:07,760 Speaker 5: in video, but the companies that are built around it, 216 00:09:07,880 --> 00:09:09,600 Speaker 5: the companies that their partner where they're going to lead 217 00:09:09,600 --> 00:09:12,120 Speaker 5: the generation to And so if people are looking to invest, 218 00:09:12,120 --> 00:09:12,880 Speaker 5: they should start there. 219 00:09:13,080 --> 00:09:13,200 Speaker 1: Right. 220 00:09:13,280 --> 00:09:16,480 Speaker 2: We already know, right, people use open ai, Well, what 221 00:09:16,559 --> 00:09:18,280 Speaker 2: makes it run GPUs? Right? 222 00:09:18,280 --> 00:09:21,280 Speaker 5: Who makes those GPUs? And video makes of AMD? So 223 00:09:21,320 --> 00:09:23,440 Speaker 5: we got to invest in those companies. We already know 224 00:09:23,480 --> 00:09:26,240 Speaker 5: that we on Instagram and we on Facebook, well matter 225 00:09:26,280 --> 00:09:28,000 Speaker 5: owns that we should be involved in that. 226 00:09:28,080 --> 00:09:28,200 Speaker 1: Right. 227 00:09:28,240 --> 00:09:31,400 Speaker 5: If you look at what Mark Zuckerberg's doing, Like quietly 228 00:09:31,400 --> 00:09:35,000 Speaker 5: while we're discussing all these other things, he just stole 229 00:09:35,280 --> 00:09:36,199 Speaker 5: open ais co. 230 00:09:36,240 --> 00:09:40,440 Speaker 2: Founder, right, recruited, recruited well, paid them a lot. 231 00:09:42,160 --> 00:09:43,640 Speaker 1: Lot of money right out of money. Right. 232 00:09:43,840 --> 00:09:47,280 Speaker 2: That was two weeks after he took Alexander Wayg, who 233 00:09:47,320 --> 00:09:49,040 Speaker 2: was the CEO of Scale Ai. 234 00:09:49,440 --> 00:09:52,160 Speaker 5: Right, he took that company, well, and I took made 235 00:09:52,160 --> 00:09:55,000 Speaker 5: a deal with them for fourteen billion, right, Like, these 236 00:09:55,040 --> 00:09:56,800 Speaker 5: are the things that are happening on our watch. So 237 00:09:56,800 --> 00:09:58,400 Speaker 5: we got to be make sure that we're investing in 238 00:09:58,400 --> 00:10:01,120 Speaker 5: these companies understanding what they do so we can take 239 00:10:01,120 --> 00:10:03,720 Speaker 5: advantage of it, right else not just from a standpoint. 240 00:10:03,360 --> 00:10:06,360 Speaker 6: Also, we went to Silicon Valley, so we actually went 241 00:10:06,440 --> 00:10:11,120 Speaker 6: to Nvidia's headquarters and we went to Metas headquarters. Okay, 242 00:10:11,280 --> 00:10:13,160 Speaker 6: we go to Metas headquarters, right, we're getting the toy 243 00:10:13,240 --> 00:10:17,640 Speaker 6: Day campus. Their campus is crazy. You don't see one 244 00:10:17,640 --> 00:10:24,000 Speaker 6: black person there. You hardly don't see any white people there. Chinese, Asian, 245 00:10:24,280 --> 00:10:27,400 Speaker 6: Chinese and Indian so much. They said that they have 246 00:10:27,559 --> 00:10:29,520 Speaker 6: they have full zoom calls and Mandarin. That's how many 247 00:10:29,600 --> 00:10:33,840 Speaker 6: Chinese people work there. So, of course, from an investment standpoint, 248 00:10:33,880 --> 00:10:36,160 Speaker 6: we need to invest in tech companies. But from an 249 00:10:36,280 --> 00:10:41,160 Speaker 6: educational standpoint, like we like I don't think people fully 250 00:10:41,240 --> 00:10:43,920 Speaker 6: understand how far how far behind we are in this situation, 251 00:10:44,280 --> 00:10:47,040 Speaker 6: Like we're not even a thought in the process of 252 00:10:47,160 --> 00:10:49,640 Speaker 6: like these tech companies, not one. It might be like 253 00:10:49,720 --> 00:10:52,319 Speaker 6: one black person in the whole entire department, like three 254 00:10:52,360 --> 00:10:54,120 Speaker 6: hundred four hundred people. I'm telling you we sold our 255 00:10:54,120 --> 00:10:57,240 Speaker 6: own ours. Hundreds of kids that's twenty two years old, 256 00:10:57,280 --> 00:11:00,719 Speaker 6: twenty five, twenty six, all Asian. Every single one of 257 00:11:00,760 --> 00:11:03,280 Speaker 6: them is Asian. So it's it's it's a black problem, 258 00:11:03,280 --> 00:11:05,760 Speaker 6: but it's an American problem. Like if you look at 259 00:11:05,760 --> 00:11:08,520 Speaker 6: the for the first time, I think in twenty years, 260 00:11:08,920 --> 00:11:13,200 Speaker 6: America won, like the math Olympics. If you look at 261 00:11:13,200 --> 00:11:16,240 Speaker 6: the team, they're all Chinese people Chinese America. They're all 262 00:11:16,320 --> 00:11:19,920 Speaker 6: Chinese Americans. Yeah, what does that tell you? Like we're 263 00:11:20,000 --> 00:11:22,720 Speaker 6: falling behind so far. Educational system is terrible. And like 264 00:11:22,720 --> 00:11:25,600 Speaker 6: I said, it's not just a Black problem, it's an 265 00:11:25,600 --> 00:11:28,199 Speaker 6: American problem, Like we're losing the technolo they say in 266 00:11:28,280 --> 00:11:30,200 Speaker 6: China six months Chinas already had. I just came back 267 00:11:30,200 --> 00:11:33,520 Speaker 6: from China. China's already ten years ahead of us. Like 268 00:11:33,800 --> 00:11:37,240 Speaker 6: if we don't catch up soon, it's gonna be very 269 00:11:37,280 --> 00:11:38,960 Speaker 6: scary to judge. 270 00:11:38,960 --> 00:11:41,079 Speaker 3: When I was looking at Chinese roads and how they 271 00:11:41,080 --> 00:11:43,240 Speaker 3: have their roles and how they deal with the elements 272 00:11:43,240 --> 00:11:44,600 Speaker 3: out there where they don't have to. 273 00:11:44,640 --> 00:11:46,920 Speaker 4: They have stuff to shoots on their roads that they 274 00:11:47,960 --> 00:11:48,920 Speaker 4: which which is crazy. 275 00:11:48,920 --> 00:11:49,559 Speaker 1: I bother with you. 276 00:11:49,600 --> 00:11:51,959 Speaker 7: I don't know how we catch up, because you know, 277 00:11:52,080 --> 00:11:56,280 Speaker 7: this country has like a real sick obsession with celebrity 278 00:11:56,720 --> 00:11:59,679 Speaker 7: and they think everything celebrity and entertainment driven is. 279 00:11:59,640 --> 00:12:02,000 Speaker 1: How you get to the money. I don't know how 280 00:12:02,000 --> 00:12:02,560 Speaker 1: you change that. 281 00:12:02,760 --> 00:12:06,199 Speaker 6: And dysfunction, political dysfunction is at all time, that's nothing. 282 00:12:06,240 --> 00:12:08,760 Speaker 6: These countries can move so quickly because they're all on 283 00:12:08,760 --> 00:12:11,080 Speaker 6: one accord. Say what you want about China, like if 284 00:12:11,120 --> 00:12:13,480 Speaker 6: they want to do something, everybody's getting behind it. The UA, 285 00:12:13,720 --> 00:12:17,040 Speaker 6: everybody's getting behind it. Side there raybeit everybody's behind it America, 286 00:12:17,240 --> 00:12:19,560 Speaker 6: like you already know the political discourse that we have 287 00:12:19,600 --> 00:12:22,280 Speaker 6: in America. So nothing is done and it's only getting worse, 288 00:12:22,320 --> 00:12:25,480 Speaker 6: and then everybody's fighting. And then then you add the 289 00:12:25,600 --> 00:12:28,800 Speaker 6: social media addiction. Then you add the junk food, which 290 00:12:28,880 --> 00:12:31,320 Speaker 6: makes it hard to concentrate period. Then you add the 291 00:12:31,480 --> 00:12:35,960 Speaker 6: education system, the celebrity aspect, and yes, it's a recipe 292 00:12:36,000 --> 00:12:38,760 Speaker 6: for disaster, to be honest with you, So yeah, no, 293 00:12:39,040 --> 00:12:40,800 Speaker 6: it's going to be difficult. I'm not really sure how 294 00:12:40,840 --> 00:12:43,800 Speaker 6: it changes. But we need to really start to think 295 00:12:43,840 --> 00:12:46,280 Speaker 6: differently about it, because, like I said, what I saw 296 00:12:46,280 --> 00:12:48,480 Speaker 6: in China, like it blew me away, like the stuff 297 00:12:48,480 --> 00:12:51,720 Speaker 6: that they're doing and what they're planning, like we're not 298 00:12:51,800 --> 00:12:53,520 Speaker 6: even thinking, We're just trying to just get through the day. 299 00:12:54,520 --> 00:12:57,040 Speaker 6: You saw over them, Well, I saw the face scan. 300 00:12:57,160 --> 00:12:59,319 Speaker 6: That was pretty cool. I think that they have the 301 00:12:59,400 --> 00:13:02,080 Speaker 6: hand scan in America, but like a lot the face 302 00:13:02,080 --> 00:13:05,800 Speaker 6: skin is is like everywhere, meaning like you you go 303 00:13:05,880 --> 00:13:07,520 Speaker 6: to a gas station whatever, you get the water, and 304 00:13:07,600 --> 00:13:09,760 Speaker 6: you just I'm talking to the clerk, I just look 305 00:13:09,800 --> 00:13:11,959 Speaker 6: and just check out. And the first time she did it, 306 00:13:12,000 --> 00:13:13,520 Speaker 6: I'm like, what they do and they like, they just 307 00:13:13,520 --> 00:13:17,040 Speaker 6: scan my eyeballs, so they the bank account information is 308 00:13:17,080 --> 00:13:19,880 Speaker 6: placed in like your eyeball, bank account information is all 309 00:13:19,920 --> 00:13:23,040 Speaker 6: placed together. So you just so we were going to 310 00:13:23,080 --> 00:13:24,280 Speaker 6: live in the world soon where you don't need a 311 00:13:24,280 --> 00:13:25,679 Speaker 6: while you don't need it, you might not even need 312 00:13:25,679 --> 00:13:28,240 Speaker 6: a phone, so you just go and like the Amazon 313 00:13:28,280 --> 00:13:30,920 Speaker 6: ghost store, now they have that through the like they 314 00:13:30,920 --> 00:13:32,960 Speaker 6: can bring it up, but now they just looking at 315 00:13:32,960 --> 00:13:36,920 Speaker 6: your eyeball and so. 316 00:13:35,600 --> 00:13:37,240 Speaker 8: So yeah, I was gonna say, what do they do, 317 00:13:37,320 --> 00:13:39,840 Speaker 8: Like how what about your eyeball pays for. 318 00:13:40,040 --> 00:13:41,080 Speaker 6: It's like a personal ID. 319 00:13:41,320 --> 00:13:43,839 Speaker 2: So like you know you do it now, you just 320 00:13:43,880 --> 00:13:45,559 Speaker 2: don't realize it. You go through Claire, what do. 321 00:13:45,520 --> 00:13:50,200 Speaker 6: You do look at it, identify how much money you 322 00:13:50,440 --> 00:13:51,720 Speaker 6: or you just link it. You just link it with 323 00:13:51,760 --> 00:13:52,000 Speaker 6: a car. 324 00:13:52,559 --> 00:13:54,520 Speaker 4: It's like having your phone. It's like having your phone. 325 00:13:54,960 --> 00:13:55,679 Speaker 4: You can still get the client. 326 00:13:55,760 --> 00:13:56,440 Speaker 3: They can look at your eyes. 327 00:13:59,640 --> 00:14:00,640 Speaker 1: They broke in the eyeball. 328 00:14:04,040 --> 00:14:05,800 Speaker 2: It sound futuristic till you realize you've been doing it 329 00:14:05,840 --> 00:14:06,320 Speaker 2: this whole time. 330 00:14:06,600 --> 00:14:07,920 Speaker 5: Right, Like when you go to the Amazon Store and 331 00:14:08,000 --> 00:14:10,959 Speaker 5: we talking about AI, that's AI, right, there's cameras in 332 00:14:11,000 --> 00:14:12,840 Speaker 5: the ceiling that are scanning you put your card in 333 00:14:12,880 --> 00:14:14,720 Speaker 5: when you walk in, and you think you're walking out, 334 00:14:14,760 --> 00:14:16,719 Speaker 5: and then you get the email that wait, you just 335 00:14:16,760 --> 00:14:18,240 Speaker 5: got charge one hundred and sixteen to OUs of what 336 00:14:18,320 --> 00:14:19,560 Speaker 5: you just bought, and it's like, wait, how do they 337 00:14:19,600 --> 00:14:19,840 Speaker 5: do that? 338 00:14:19,880 --> 00:14:21,280 Speaker 4: But people are scared of that. A lot of people 339 00:14:21,320 --> 00:14:22,760 Speaker 4: are scared of that. And do you what do you 340 00:14:22,800 --> 00:14:24,560 Speaker 4: say to them? You know, people think it's taking jobs. 341 00:14:24,560 --> 00:14:26,520 Speaker 4: Like you said, the Amazon store, there's nobody. There's one 342 00:14:26,520 --> 00:14:28,480 Speaker 4: guy working in and make sure people just don't run out. 343 00:14:28,560 --> 00:14:31,080 Speaker 4: But besides that, there's nobody ringing you up. There's nobody 344 00:14:31,120 --> 00:14:33,400 Speaker 4: doing anything like that, and people are thinking that it's 345 00:14:33,400 --> 00:14:36,240 Speaker 4: taking jobs, it's taking opportunity, it's taking their future away. 346 00:14:36,280 --> 00:14:37,160 Speaker 3: So what do you say to that. 347 00:14:37,320 --> 00:14:39,160 Speaker 5: I say, we got to get educated on it, right, 348 00:14:39,200 --> 00:14:41,320 Speaker 5: Like I grew up in an education system where it 349 00:14:41,320 --> 00:14:42,960 Speaker 5: was like learn mander and learn manner. That's what they 350 00:14:42,960 --> 00:14:44,320 Speaker 5: were telling kids when I was teaching then, it was 351 00:14:44,320 --> 00:14:45,880 Speaker 5: like they should learn code and they shoul learn crollon. 352 00:14:46,280 --> 00:14:48,280 Speaker 5: And it's like, well there's a prompt now to do that, 353 00:14:48,640 --> 00:14:50,280 Speaker 5: you know what I'm saying. And so like we get 354 00:14:50,280 --> 00:14:53,480 Speaker 5: to realize that AI is not our enemy, it's our copilot. 355 00:14:53,840 --> 00:14:55,560 Speaker 5: And so if we think about it, like we'll still 356 00:14:55,600 --> 00:14:57,440 Speaker 5: find a plane, but this is going to help us. 357 00:14:57,480 --> 00:14:59,560 Speaker 2: The people that will work with it and understand it 358 00:14:59,600 --> 00:15:00,360 Speaker 2: will go go ahead. 359 00:15:00,400 --> 00:15:03,080 Speaker 5: The people who try to deny it and be afraid 360 00:15:03,120 --> 00:15:05,320 Speaker 5: of it, it's gonna be tough for them to succeed 361 00:15:05,320 --> 00:15:07,960 Speaker 5: because you're battling super intelligence. You're talking about something that's 362 00:15:07,960 --> 00:15:11,360 Speaker 5: super efficient, that never stops working, that's always getting better, 363 00:15:11,480 --> 00:15:14,400 Speaker 5: that never gets tired, that doesn't need any you know, 364 00:15:14,520 --> 00:15:15,840 Speaker 5: PTO or insurance. 365 00:15:15,880 --> 00:15:17,000 Speaker 3: It's no man. 366 00:15:17,080 --> 00:15:20,080 Speaker 5: No maternity all and it's only getting better. If it 367 00:15:20,120 --> 00:15:22,560 Speaker 5: makes a mistakes, it gets better, right, So how do 368 00:15:22,600 --> 00:15:24,240 Speaker 5: you compete with that? You don't you join it? 369 00:15:24,280 --> 00:15:26,000 Speaker 4: Do we go back to the days of forcing our 370 00:15:26,040 --> 00:15:28,200 Speaker 4: kids to do things? Like you remember growing up as 371 00:15:28,200 --> 00:15:30,520 Speaker 4: a kids, your parents forced you to You're gonna take 372 00:15:30,640 --> 00:15:32,440 Speaker 4: You're gonna be an attorney, You're gonna be a lawyer, 373 00:15:32,480 --> 00:15:33,920 Speaker 4: you're gonna be a doctor. 374 00:15:34,320 --> 00:15:37,120 Speaker 3: Nowadays these kids are like the smartest. 375 00:15:36,680 --> 00:15:39,400 Speaker 5: One though, But that's the thing, right The value add 376 00:15:39,440 --> 00:15:41,200 Speaker 5: is like who's the smartest one? Do you have to 377 00:15:41,200 --> 00:15:43,320 Speaker 5: be the smartest one or could you just be the 378 00:15:43,320 --> 00:15:45,800 Speaker 5: person that understands that I need to use this because, 379 00:15:46,040 --> 00:15:48,400 Speaker 5: like you said, like a lawyer, it's interesting right Like 380 00:15:48,520 --> 00:15:50,520 Speaker 5: right now, if I go to Anthropica, I'll go to 381 00:15:50,560 --> 00:15:53,520 Speaker 5: chat GBT and I get, you know, documents from a 382 00:15:53,560 --> 00:15:55,280 Speaker 5: law office. I'll say it like, hey, I want you 383 00:15:55,400 --> 00:15:58,320 Speaker 5: to attack this case the way that's disfirmed it and 384 00:15:58,360 --> 00:16:00,520 Speaker 5: in five minutes is going to understand exactly how the 385 00:16:00,520 --> 00:16:03,080 Speaker 5: firm the tax case if it's a prosecutor, and defend it. 386 00:16:03,200 --> 00:16:05,320 Speaker 2: And now I got a hold for twenty nine dollars 387 00:16:05,320 --> 00:16:05,960 Speaker 2: a month, Well. 388 00:16:05,800 --> 00:16:06,360 Speaker 1: That's what the thing. 389 00:16:07,000 --> 00:16:10,480 Speaker 8: But that's what I'm saying though, even if we looking 390 00:16:10,520 --> 00:16:12,480 Speaker 8: at it, not looking at it like it's our enemy, 391 00:16:13,080 --> 00:16:15,360 Speaker 8: what the hell we gonna do their jobs? 392 00:16:15,440 --> 00:16:16,400 Speaker 2: Like what do we? 393 00:16:17,360 --> 00:16:19,680 Speaker 6: And you can't sugarcoat it's about it's gonna get real 394 00:16:19,760 --> 00:16:22,680 Speaker 6: scary from schooky hours because it's like, all right, technology 395 00:16:22,760 --> 00:16:28,320 Speaker 6: are always replaces low skilled labor. Right, So before you're 396 00:16:28,360 --> 00:16:30,640 Speaker 6: from Baltimore ran yep, okay, you're from New York. So 397 00:16:30,680 --> 00:16:32,400 Speaker 6: you remember back in the days when you used to 398 00:16:32,480 --> 00:16:35,760 Speaker 6: go over any bridge in New York, people there, right, 399 00:16:35,760 --> 00:16:37,520 Speaker 6: and they have to give them five dollars, they give 400 00:16:37,520 --> 00:16:40,720 Speaker 6: you two hundred two dollars fifty cent back. Those were jobs. 401 00:16:40,880 --> 00:16:41,120 Speaker 2: Yep. 402 00:16:42,480 --> 00:16:45,360 Speaker 6: There's nobody working those jobs anymore. Right, So that's the 403 00:16:45,400 --> 00:16:48,920 Speaker 6: way that that's that's how technology replaced jobs. But people 404 00:16:48,960 --> 00:16:51,040 Speaker 6: will look at it like, okay, that's low skilled labor, 405 00:16:51,480 --> 00:16:55,160 Speaker 6: or like cashiers, but you just ripped cashiers. Now most 406 00:16:55,160 --> 00:16:57,720 Speaker 6: stores have like maybe one cashier, but most of it 407 00:16:57,760 --> 00:17:00,840 Speaker 6: is self checkout. Some store don't have any cashier. But 408 00:17:01,000 --> 00:17:03,880 Speaker 6: now we're going to start to see high skilled job 409 00:17:03,920 --> 00:17:08,360 Speaker 6: being replaced, like he said, lawyers, doctors. We was in Africa, Kalise, 410 00:17:08,800 --> 00:17:11,960 Speaker 6: We was in Kenya, Kalise's youngest son is getting taught 411 00:17:11,960 --> 00:17:15,560 Speaker 6: by AI too, school fully fully AI. So now you 412 00:17:15,680 --> 00:17:19,960 Speaker 6: got education that's about to get replaced. You got a doctors, lawyers, 413 00:17:20,000 --> 00:17:25,119 Speaker 6: these engineers, like this is very high skilled jobs that 414 00:17:25,160 --> 00:17:27,679 Speaker 6: people go and pay hundreds of thousands of dollars for 415 00:17:27,720 --> 00:17:30,280 Speaker 6: their degree. So now you're not only getting low skilled 416 00:17:30,320 --> 00:17:33,840 Speaker 6: replace you're getting high skilled replaced too. So save your money, 417 00:17:33,960 --> 00:17:36,439 Speaker 6: invest your money. Like if I can give anybody advice 418 00:17:36,520 --> 00:17:39,199 Speaker 6: right now, like you gotta invest your money, and you 419 00:17:39,280 --> 00:17:42,240 Speaker 6: gotta have you got to almost you got to be 420 00:17:42,280 --> 00:17:45,960 Speaker 6: an entrepreneur on a certain level, right because just relying 421 00:17:46,040 --> 00:17:48,080 Speaker 6: on a job and a skill set, there's no job 422 00:17:48,119 --> 00:17:50,960 Speaker 6: that's safe, even this job they having AI people that's 423 00:17:50,960 --> 00:17:55,159 Speaker 6: doing podcasts. So the whole series very soon, it's going 424 00:17:55,240 --> 00:17:57,200 Speaker 6: to be so good that you might not even know 425 00:17:57,320 --> 00:18:02,520 Speaker 6: that it's the AI. And so invest your money crypto 426 00:18:03,119 --> 00:18:09,480 Speaker 6: tech stocks like start now. Like entrepreneurship vitally important. That's 427 00:18:09,560 --> 00:18:11,600 Speaker 6: even more important than the skill set because you could 428 00:18:11,680 --> 00:18:13,960 Speaker 6: learn technology is not that hard to learn, that's the 429 00:18:13,960 --> 00:18:16,880 Speaker 6: good thing about it. But if you don't have a business, 430 00:18:16,880 --> 00:18:19,320 Speaker 6: you don't have cash flow, like it's going it's going 431 00:18:19,400 --> 00:18:20,440 Speaker 6: to be very, very difficult. 432 00:18:20,600 --> 00:18:21,399 Speaker 1: Let me ask you about this. 433 00:18:21,440 --> 00:18:24,280 Speaker 7: You know, they're talking about the contracted economy and they 434 00:18:24,280 --> 00:18:26,840 Speaker 7: say that's going to reach two point five trillion this 435 00:18:26,960 --> 00:18:29,600 Speaker 7: year alone, and they say ai AI is coming for 436 00:18:29,640 --> 00:18:32,320 Speaker 7: the coders, that electricians, and well just the Black Rock 437 00:18:32,400 --> 00:18:35,080 Speaker 7: CEO says, we need a half a million electricians over 438 00:18:35,119 --> 00:18:36,639 Speaker 7: the next few years. 439 00:18:36,640 --> 00:18:37,680 Speaker 1: What do you think about that? 440 00:18:38,440 --> 00:18:40,720 Speaker 6: Yeah, we do, we do electricians. 441 00:18:41,400 --> 00:18:43,600 Speaker 1: The massive shortage of skills like but. 442 00:18:43,640 --> 00:18:46,480 Speaker 6: Even that, that's true, but you need to be an entrepreneur. 443 00:18:47,080 --> 00:18:51,719 Speaker 6: But people that got but I'm saying some a lot 444 00:18:51,760 --> 00:18:53,800 Speaker 6: of people don't look at it like that. They'll go 445 00:18:53,920 --> 00:18:55,679 Speaker 6: into it saying like I want to be a plumber 446 00:18:55,680 --> 00:18:57,880 Speaker 6: and I want to work for a plumbing companies. 447 00:18:59,400 --> 00:19:00,399 Speaker 1: Own woman company. 448 00:19:00,680 --> 00:19:03,439 Speaker 6: But yeah, no, that's still needed for now. But yeah, 449 00:19:03,640 --> 00:19:04,320 Speaker 6: but I think. 450 00:19:04,160 --> 00:19:04,960 Speaker 1: That's gonna be a way. 451 00:19:06,040 --> 00:19:08,200 Speaker 7: That's gonna be a way to reach black people because 452 00:19:08,240 --> 00:19:10,800 Speaker 7: black people understand that. So when you start talking those 453 00:19:10,920 --> 00:19:13,159 Speaker 7: kinds of numbers and letting people know like skilled label, 454 00:19:13,440 --> 00:19:15,880 Speaker 7: you know, the contracting economy is a two point five 455 00:19:15,920 --> 00:19:17,760 Speaker 7: trillion dollar business and we need a half a million 456 00:19:17,800 --> 00:19:19,960 Speaker 7: more of those over the next few years. 457 00:19:20,080 --> 00:19:23,560 Speaker 1: That's something they understand. They may not understand the AI conversation. 458 00:19:24,920 --> 00:19:28,359 Speaker 6: That's insightful. We don't have time to keep you got 459 00:19:28,480 --> 00:19:30,520 Speaker 6: to catch up. You don't understand, you got to catch up. 460 00:19:30,760 --> 00:19:33,760 Speaker 6: I understand. I respect laborers, but black people can do 461 00:19:33,800 --> 00:19:36,920 Speaker 6: more than just being a laborer. No, it is nothing 462 00:19:36,920 --> 00:19:39,080 Speaker 6: wrong with it. But why we always relegated to the 463 00:19:39,119 --> 00:19:41,000 Speaker 6: blast of black jobs. That's what Trump was all about 464 00:19:41,000 --> 00:19:43,080 Speaker 6: black jobs, right, Like, no, we need to we need 465 00:19:43,119 --> 00:19:44,240 Speaker 6: to do that, but we need to be playing at 466 00:19:44,240 --> 00:19:45,240 Speaker 6: the highest level possible. 467 00:19:45,320 --> 00:19:46,520 Speaker 2: That's why we need. 468 00:19:46,359 --> 00:19:49,159 Speaker 6: To be starting tech companies. We can't just say, okay, 469 00:19:49,720 --> 00:19:51,320 Speaker 6: this is what we know, this is what we can 470 00:19:51,359 --> 00:19:54,879 Speaker 6: relate to that. All right, you're not gonna become it's 471 00:19:54,920 --> 00:19:57,160 Speaker 6: super rich being a plumber. Let's just be honest. It's 472 00:19:57,160 --> 00:19:57,920 Speaker 6: nothing wrong with that. 473 00:19:57,960 --> 00:19:59,879 Speaker 1: But unless you start a plumbing company and you got 474 00:19:59,880 --> 00:20:00,800 Speaker 1: the contract for this bad. 475 00:20:00,720 --> 00:20:03,639 Speaker 5: But how many you don't have a billion dollar evaluation, 476 00:20:03,720 --> 00:20:04,600 Speaker 5: a billion dollar exit. 477 00:20:05,560 --> 00:20:08,480 Speaker 6: It's happening like when okay, so when Mark Cuban says 478 00:20:08,520 --> 00:20:12,119 Speaker 6: that there's going to be trillionaire started in the basement, right, like, 479 00:20:12,359 --> 00:20:14,639 Speaker 6: you're talking about companies that's going to reach one hundred 480 00:20:14,640 --> 00:20:17,879 Speaker 6: million dollar valuations. In six months, like real quick. We 481 00:20:17,960 --> 00:20:19,840 Speaker 6: got to get in on this. That's why we're doing 482 00:20:20,000 --> 00:20:23,920 Speaker 6: the tech giveaway. As far as at Investmentest, like yes, 483 00:20:24,400 --> 00:20:27,240 Speaker 6: but we can't just we've been in this country for 484 00:20:27,280 --> 00:20:30,399 Speaker 6: too long. We gotta play quick, quick, catch up. We 485 00:20:30,440 --> 00:20:32,960 Speaker 6: can't play okay, now, we got fifty years to catch up. 486 00:20:32,960 --> 00:20:35,119 Speaker 6: We're going to start at this level. I'm telling you, 487 00:20:35,200 --> 00:20:37,239 Speaker 6: if we're playing that game and fifty years, it's going 488 00:20:37,320 --> 00:20:37,560 Speaker 6: to be. 489 00:20:37,880 --> 00:20:39,240 Speaker 1: I agree with you, and that's what I love talking 490 00:20:39,240 --> 00:20:39,520 Speaker 1: to y'all. 491 00:20:39,680 --> 00:20:41,800 Speaker 7: But if the black Rock CEO is saying that a 492 00:20:41,880 --> 00:20:44,800 Speaker 7: two trillion dollar wealth shift is coming because of the 493 00:20:44,880 --> 00:20:48,560 Speaker 7: contractor economy, and he and we already I always encourage 494 00:20:48,560 --> 00:20:49,960 Speaker 7: people to go to trade school. 495 00:20:49,720 --> 00:20:51,840 Speaker 2: You're talking about, Larry, You think, right, it's needed. Yeah, 496 00:20:52,000 --> 00:20:54,000 Speaker 2: it's needed. I get what you it's needed, right. 497 00:20:54,119 --> 00:20:56,959 Speaker 5: But a lot of these guys life they shout out 498 00:20:57,000 --> 00:21:01,160 Speaker 5: to black Ron part that Investest the largest asset manager 499 00:21:01,200 --> 00:21:04,240 Speaker 5: company in the world over thirteen training assets. Right, that's 500 00:21:04,240 --> 00:21:05,880 Speaker 5: cool if you want to keep it. But we're trying 501 00:21:05,920 --> 00:21:07,840 Speaker 5: to get people to sustainable wealth. 502 00:21:07,960 --> 00:21:08,080 Speaker 2: Right. 503 00:21:08,080 --> 00:21:11,480 Speaker 5: We're talking about life changing, generational changing, and that's why 504 00:21:11,520 --> 00:21:14,520 Speaker 5: it's important to talk about technology because we've over indexed 505 00:21:14,520 --> 00:21:16,280 Speaker 5: in some of these professions. We know that, right, Like 506 00:21:16,680 --> 00:21:19,320 Speaker 5: my uncle's a plumber, Yo, my cousin does age that, 507 00:21:19,840 --> 00:21:23,280 Speaker 5: but I don't know anybody that has an AI startup, right, Like. 508 00:21:23,240 --> 00:21:24,000 Speaker 2: We have to be in that. 509 00:21:24,440 --> 00:21:27,520 Speaker 5: We're talking about these prompts that they're not being created 510 00:21:27,520 --> 00:21:29,760 Speaker 5: by us. In fact, the data centers that are being built, 511 00:21:29,760 --> 00:21:31,160 Speaker 5: they're not being built by us either. 512 00:21:31,480 --> 00:21:31,680 Speaker 2: Right. 513 00:21:31,760 --> 00:21:34,560 Speaker 5: So when we're talking about discrimination in this world, imagine 514 00:21:34,560 --> 00:21:36,400 Speaker 5: when it gets to that world and it doesn't care 515 00:21:36,640 --> 00:21:38,720 Speaker 5: and there is nobody to answer that call and you 516 00:21:38,760 --> 00:21:39,840 Speaker 5: can't complain about it. 517 00:21:40,160 --> 00:21:41,480 Speaker 2: Right, we got to be inside that. 518 00:21:41,520 --> 00:21:43,320 Speaker 5: We got to be creative, We got to be innovative 519 00:21:43,400 --> 00:21:45,600 Speaker 5: to have something, right because we keep seeing it. 520 00:21:45,640 --> 00:21:47,879 Speaker 2: We watch Vine and Facebook. 521 00:21:47,920 --> 00:21:52,320 Speaker 5: We made all these things popular, Instagram popular, TikTok popular. 522 00:21:53,240 --> 00:21:56,760 Speaker 2: Nothing is us. We got to be in that conversation. 523 00:21:56,520 --> 00:22:00,159 Speaker 7: Another thing too, right, And we have these conversations, say, 524 00:22:00,200 --> 00:22:03,400 Speaker 7: you know, we about to see these trillion dollar companies, right, 525 00:22:03,400 --> 00:22:05,359 Speaker 7: like we haven't seen a trillionaire yet. 526 00:22:05,520 --> 00:22:07,800 Speaker 1: Everybody not gonna be a trillionaire. No, everybody not gonna 527 00:22:07,800 --> 00:22:10,280 Speaker 1: be a billionaire. Everybody not gonna be a multimillionaire. There 528 00:22:10,320 --> 00:22:12,439 Speaker 1: is gonna have to be some hundred thousands, you know 529 00:22:12,480 --> 00:22:12,960 Speaker 1: what I'm saying. 530 00:22:13,280 --> 00:22:16,679 Speaker 7: So I guess the question what does generational wealth look like? 531 00:22:16,680 --> 00:22:17,960 Speaker 1: Because that should be subjective. 532 00:22:17,960 --> 00:22:22,240 Speaker 6: Well, it starts with companies, and like Jensen Want, who 533 00:22:22,359 --> 00:22:25,359 Speaker 6: was the CEO of in Video, he said he said, 534 00:22:25,400 --> 00:22:28,760 Speaker 6: I made more millionaires than any company I'm paraphrasing, So 535 00:22:28,960 --> 00:22:32,280 Speaker 6: he's obviously a billionaire. His companies were four trillion. But 536 00:22:33,359 --> 00:22:36,480 Speaker 6: there's thousands of people that working in video that became 537 00:22:36,520 --> 00:22:39,800 Speaker 6: millionaires or one million, two million, three million, four million. 538 00:22:39,880 --> 00:22:41,920 Speaker 6: So look at the economic impact, That's what I'm saying. 539 00:22:41,920 --> 00:22:43,440 Speaker 6: As far as the entrepreneur, we can see it even 540 00:22:43,480 --> 00:22:47,120 Speaker 6: on the like us personally, we employed thirty people, right, 541 00:22:47,280 --> 00:22:51,400 Speaker 6: So I'm always gonna hammer Like Dame Dash wasn't wrong 542 00:22:51,440 --> 00:22:55,000 Speaker 6: in what he said the delivery. I think the way 543 00:22:55,000 --> 00:22:57,720 Speaker 6: that he went about it was was But that interview 544 00:22:57,840 --> 00:23:01,240 Speaker 6: still resonates to this day because because we don't own 545 00:23:01,359 --> 00:23:05,320 Speaker 6: enough businesses, we don't. So as far as generational wealth, 546 00:23:05,680 --> 00:23:08,200 Speaker 6: a lot of times that's just a catchphrase. It don't 547 00:23:08,200 --> 00:23:10,800 Speaker 6: mean nothing, Like what does that even mean? Generational wealth? Like, 548 00:23:11,119 --> 00:23:14,440 Speaker 6: generational wealth is having sustainable businesses that you're employing people, 549 00:23:14,480 --> 00:23:16,359 Speaker 6: and you can pass something down and you have an 550 00:23:16,359 --> 00:23:19,639 Speaker 6: ecosystem and this shit is flowing NonStop. Not just Okay, 551 00:23:19,760 --> 00:23:21,439 Speaker 6: I made a bunch of money, because nine times out 552 00:23:21,480 --> 00:23:23,800 Speaker 6: of ten, you're either gonna end up blowing it, you 553 00:23:23,880 --> 00:23:26,399 Speaker 6: gonnat get divorced and lose it, or your kid is 554 00:23:26,400 --> 00:23:29,720 Speaker 6: gonna blow it. So but if it's a system in 555 00:23:29,760 --> 00:23:32,640 Speaker 6: place and you can actually employ people and you can 556 00:23:32,680 --> 00:23:36,240 Speaker 6: actually have things that's actually moving the ecosystem the right way, 557 00:23:36,480 --> 00:23:42,240 Speaker 6: that's that's more beneficial than one person becoming extremely successful. 558 00:23:42,840 --> 00:23:44,479 Speaker 4: Now what I said, I look at generational wealth as 559 00:23:44,520 --> 00:23:46,880 Speaker 4: freedom though it's not just amount of money you make. 560 00:23:46,960 --> 00:23:47,120 Speaker 2: Right. 561 00:23:47,520 --> 00:23:50,399 Speaker 4: You look at some people who might only make one 562 00:23:50,440 --> 00:23:53,439 Speaker 4: hundred thousand dollars or two hundred thousand dollars, a lot 563 00:23:53,440 --> 00:23:56,320 Speaker 4: of money, it is, but they're happy. They're happy in 564 00:23:56,400 --> 00:23:58,280 Speaker 4: that person that makes ten million dollars. Then happen in 565 00:23:58,280 --> 00:24:00,359 Speaker 4: that person that makes twenty million dollars, but they able 566 00:24:00,440 --> 00:24:03,320 Speaker 4: to make sure their family is good for generations for 567 00:24:03,480 --> 00:24:05,960 Speaker 4: that level. But it's happiness because at the end of 568 00:24:06,000 --> 00:24:08,439 Speaker 4: the day, after money, I just want my kids to 569 00:24:08,480 --> 00:24:08,840 Speaker 4: be happy. 570 00:24:09,080 --> 00:24:10,360 Speaker 3: I don't want them to be stressed out. I don't 571 00:24:10,359 --> 00:24:10,960 Speaker 3: want to worry about it. 572 00:24:11,040 --> 00:24:12,280 Speaker 4: I just want them to be happy and live the 573 00:24:12,280 --> 00:24:13,480 Speaker 4: way that they want to live. If they want to 574 00:24:13,520 --> 00:24:15,359 Speaker 4: do nails, I want them to do nails because at 575 00:24:15,359 --> 00:24:16,280 Speaker 4: the end of the day, life is short. 576 00:24:16,320 --> 00:24:17,320 Speaker 7: You just want them to be happy, but you do 577 00:24:17,359 --> 00:24:20,520 Speaker 7: want to encourage them to own that's exactly a lot 578 00:24:20,520 --> 00:24:20,919 Speaker 7: of money. 579 00:24:21,240 --> 00:24:23,000 Speaker 6: Yes, you know, it's not a lot of money, but 580 00:24:23,080 --> 00:24:29,400 Speaker 6: it's a lot of money. What you said, people listening 581 00:24:29,400 --> 00:24:31,240 Speaker 6: to us in New York City and New York City. 582 00:24:31,440 --> 00:24:33,040 Speaker 1: Yes, but the people listening to us who don't have 583 00:24:33,080 --> 00:24:35,080 Speaker 1: no years, you're not. 584 00:24:35,800 --> 00:24:38,119 Speaker 6: It's not it's not to discourage somebody, but it's also 585 00:24:38,160 --> 00:24:41,760 Speaker 6: to be realistic, you know, you you know it's not 586 00:24:42,400 --> 00:24:44,360 Speaker 6: you know, I know it's not a lot of money. 587 00:24:44,840 --> 00:24:47,560 Speaker 1: Granted, a lot of money. I mean it's a lot 588 00:24:47,560 --> 00:24:52,160 Speaker 1: of money to somebody, a lot of being of America. 589 00:24:52,400 --> 00:24:54,080 Speaker 5: If you make a hundred thousand dollars a year in 590 00:24:54,119 --> 00:24:56,439 Speaker 5: New York you're coming home with sixty seven thousand dollars. 591 00:24:56,760 --> 00:24:57,720 Speaker 1: It's a lot of money. 592 00:24:58,080 --> 00:25:01,440 Speaker 6: It's not a lot of money. You know. There wasn't 593 00:25:01,440 --> 00:25:03,000 Speaker 6: a lot of money when I made a hundred thousand. 594 00:25:02,760 --> 00:25:05,639 Speaker 8: Dollars, Okay, So I can relate to that part, you know, 595 00:25:05,800 --> 00:25:08,000 Speaker 8: like before I even made my first hundred thousand, and 596 00:25:08,000 --> 00:25:10,919 Speaker 8: I'm like, ah, no, same, Like it's easy to do. 597 00:25:10,960 --> 00:25:12,720 Speaker 8: When I did it, I'm all right, now, what's five 598 00:25:12,800 --> 00:25:13,359 Speaker 8: hundred thousand? 599 00:25:13,359 --> 00:25:13,600 Speaker 1: All right? 600 00:25:14,160 --> 00:25:14,720 Speaker 3: You know what I mean? 601 00:25:14,760 --> 00:25:18,520 Speaker 8: So, yeah, it's one hundred thousand dollars is a lot 602 00:25:18,560 --> 00:25:21,960 Speaker 8: of money to certain people, but not to me because 603 00:25:21,960 --> 00:25:23,399 Speaker 8: of my expenses. 604 00:25:22,880 --> 00:25:23,960 Speaker 1: And shit that I'm doing. 605 00:25:24,760 --> 00:25:26,360 Speaker 2: I get that, Like my lifestyle is. 606 00:25:26,320 --> 00:25:29,199 Speaker 5: Not back to what you're saying though, at everybody? Is 607 00:25:29,200 --> 00:25:30,000 Speaker 5: that sustainable? 608 00:25:30,080 --> 00:25:30,199 Speaker 1: Right? 609 00:25:30,200 --> 00:25:32,200 Speaker 5: If I make one hundred thousand dollars a year, can 610 00:25:32,240 --> 00:25:35,000 Speaker 5: I create a lifestyle that's sustainable for my family going forward? 611 00:25:35,680 --> 00:25:38,320 Speaker 1: No, you can't live. It depends because you're probably keeping food. 612 00:25:38,359 --> 00:25:40,720 Speaker 7: You're probably keeping food on the table and a roof 613 00:25:40,760 --> 00:25:42,280 Speaker 7: over your head, and you live in check. 614 00:25:42,320 --> 00:25:43,600 Speaker 5: And my kids gonna have to do the same thing, 615 00:25:43,960 --> 00:25:45,360 Speaker 5: and then their kids gonna to do the same thing. 616 00:25:45,640 --> 00:25:48,560 Speaker 5: That's not sustainable because they're gonna Right, there's no guarantee 617 00:25:48,600 --> 00:25:49,080 Speaker 5: like my parents. 618 00:25:49,080 --> 00:25:50,159 Speaker 2: My dad did that right, Like he. 619 00:25:50,160 --> 00:25:53,160 Speaker 5: Worked for forty two years, right, it guarantees me nothing. 620 00:25:54,240 --> 00:25:56,040 Speaker 5: He spent more time at work than he did at home. 621 00:25:56,680 --> 00:25:58,719 Speaker 5: He didn't come to my basketball games because he had 622 00:25:58,720 --> 00:26:02,440 Speaker 5: to work. Right, He's weekend sometimes going to work when 623 00:26:02,440 --> 00:26:04,479 Speaker 5: I turn eighteen. He didn't guarantee me an interview at 624 00:26:04,480 --> 00:26:06,520 Speaker 5: his job. They didn't guarantee me that I keep it 625 00:26:06,520 --> 00:26:07,080 Speaker 5: walking the building. 626 00:26:07,080 --> 00:26:16,520 Speaker 1: Would you good at basketball? Wow? 627 00:26:16,600 --> 00:26:26,760 Speaker 2: Support from Jamaica. Man, we only got Patrick. 628 00:26:30,359 --> 00:26:31,840 Speaker 1: To play. You want to play basketball. 629 00:26:31,880 --> 00:26:34,960 Speaker 2: I'm not supporting. 630 00:26:35,040 --> 00:26:35,240 Speaker 6: I'm not. 631 00:26:36,920 --> 00:26:38,520 Speaker 2: If he's not a bowler, I'm not going. 632 00:26:39,440 --> 00:26:41,960 Speaker 5: But you understand that that premise is like, now I 633 00:26:42,000 --> 00:26:43,960 Speaker 5: have to go figure out what I'm gonna do right. 634 00:26:44,000 --> 00:26:45,840 Speaker 5: I can't do his career. I gottaigure out what I'm 635 00:26:45,840 --> 00:26:47,960 Speaker 5: gonna do right. My goal was to make sure that 636 00:26:48,040 --> 00:26:49,560 Speaker 5: if I had something, I can pass it do the 637 00:26:49,560 --> 00:26:51,960 Speaker 5: same thing. You've always talked about saying everybody here is 638 00:26:51,960 --> 00:26:54,840 Speaker 5: doing it. We're not being candid about it, like we 639 00:26:54,920 --> 00:26:57,000 Speaker 5: have to tell him, like, look, I'm trying to create 640 00:26:57,000 --> 00:26:59,520 Speaker 5: something that's sustainable. I could pass it down to you. 641 00:26:59,520 --> 00:27:01,080 Speaker 5: You may not even want to do that, right, Like 642 00:27:01,200 --> 00:27:04,000 Speaker 5: the plumber. Right, you've watched your dad be a plumber 643 00:27:04,080 --> 00:27:05,800 Speaker 5: work hard. You're like, I don't want to do that. 644 00:27:05,800 --> 00:27:07,080 Speaker 5: A lot of kids grow up like I don't want 645 00:27:07,080 --> 00:27:08,920 Speaker 5: to do that. They in the tech world. They want 646 00:27:08,960 --> 00:27:11,040 Speaker 5: to figure out how they can use technology to advance 647 00:27:11,080 --> 00:27:13,880 Speaker 5: their careers. Right, so we got to, hey, here's some 648 00:27:14,000 --> 00:27:17,600 Speaker 5: assets to flourish your dream whatever it is, rather than 649 00:27:17,920 --> 00:27:19,280 Speaker 5: don't figure it out on your own. I know I 650 00:27:19,280 --> 00:27:20,240 Speaker 5: did announce your turn. 651 00:27:20,960 --> 00:27:23,640 Speaker 8: So for my son, my son is thirteen, my son 652 00:27:24,040 --> 00:27:27,080 Speaker 8: wants to get into tech, Where does he even start 653 00:27:27,080 --> 00:27:27,359 Speaker 8: with that? 654 00:27:28,160 --> 00:27:30,840 Speaker 2: What's his interest right now? Is he into social media? 655 00:27:31,640 --> 00:27:33,640 Speaker 1: Is he is he into gaming software? 656 00:27:33,720 --> 00:27:35,840 Speaker 8: He likes he wants to, like, you know, like the 657 00:27:35,840 --> 00:27:37,600 Speaker 8: STEM programs and all that type of stuff. 658 00:27:37,680 --> 00:27:38,720 Speaker 7: But if we're so. 659 00:27:39,320 --> 00:27:43,520 Speaker 8: Fucking behind already, like, how like where would he even 660 00:27:43,600 --> 00:27:44,159 Speaker 8: start with that? 661 00:27:44,920 --> 00:27:48,080 Speaker 6: Well, the good thing is that we are behind, but 662 00:27:48,440 --> 00:27:51,280 Speaker 6: you can catch up quick with technology. Nip had a 663 00:27:51,280 --> 00:27:54,000 Speaker 6: great quote when he was like, technology hasn't powered everybody, 664 00:27:54,080 --> 00:27:55,840 Speaker 6: and it's kind of level with the playing field, even 665 00:27:55,880 --> 00:27:58,080 Speaker 6: though the playing field has never been leveled. But still 666 00:27:58,119 --> 00:28:00,159 Speaker 6: all right, so you just start with the basics. I 667 00:28:00,160 --> 00:28:02,679 Speaker 6: was like, I feel like New York City band chat GBT, 668 00:28:02,840 --> 00:28:05,960 Speaker 6: dumb decision. Hopefully if we get a new mayor, we 669 00:28:06,040 --> 00:28:08,719 Speaker 6: can have some level of voicing as far as its education. 670 00:28:10,320 --> 00:28:12,760 Speaker 6: Why did they mant because kids, it is cheap they say, kids' 671 00:28:12,760 --> 00:28:14,880 Speaker 6: is gonna be cheating on the on the essays and 672 00:28:14,960 --> 00:28:16,879 Speaker 6: using the g But my thing is, why are you 673 00:28:17,000 --> 00:28:21,000 Speaker 6: trying to ban But okay, this is my thing right? True? 674 00:28:21,160 --> 00:28:21,960 Speaker 6: Math math? 675 00:28:22,080 --> 00:28:22,280 Speaker 1: Right? 676 00:28:23,000 --> 00:28:25,320 Speaker 6: How I learned math, how everybody learns math is that 677 00:28:25,400 --> 00:28:26,919 Speaker 6: you do it with a pen and paper and you 678 00:28:26,960 --> 00:28:31,000 Speaker 6: do long division. Okay, never in life are you ever 679 00:28:31,040 --> 00:28:32,800 Speaker 6: going to have to do that a lot of times 680 00:28:32,800 --> 00:28:35,239 Speaker 6: if you use the calculator, you was cheating. So when 681 00:28:35,280 --> 00:28:37,439 Speaker 6: I became a financial advisor, I had to use a 682 00:28:37,480 --> 00:28:39,880 Speaker 6: financial calculator and I had to learn how to use 683 00:28:39,920 --> 00:28:43,080 Speaker 6: a financial calculator. Financial calculator is different from a regular calculator. 684 00:28:43,400 --> 00:28:45,640 Speaker 6: My thing is that that would have been helpful for 685 00:28:45,720 --> 00:28:48,120 Speaker 6: me to learn how to use a calculator, more so 686 00:28:48,360 --> 00:28:50,640 Speaker 6: than learning how to use long division. Now it's gonna 687 00:28:50,640 --> 00:28:52,240 Speaker 6: be some people like, well that helps you think and 688 00:28:52,320 --> 00:28:56,000 Speaker 6: cognitive thinking skills da da da da not needed. And 689 00:28:56,040 --> 00:28:58,080 Speaker 6: I noticed for a fact, because I worked in finance 690 00:28:58,080 --> 00:29:01,200 Speaker 6: for twelve years, I never did I never did math 691 00:29:01,240 --> 00:29:03,560 Speaker 6: equations with my hand. I only did math equations with 692 00:29:03,600 --> 00:29:07,200 Speaker 6: a calculator. It would be more beneficial to teach children 693 00:29:07,280 --> 00:29:09,400 Speaker 6: how to do math with calculators, because that's what they're 694 00:29:09,400 --> 00:29:11,200 Speaker 6: going to do in real world. It would be more 695 00:29:11,200 --> 00:29:14,600 Speaker 6: beneficial to embrace chat GBT and teach kids how to 696 00:29:14,760 --> 00:29:17,800 Speaker 6: use chat GBT and how to prompt right. And this 697 00:29:18,040 --> 00:29:19,560 Speaker 6: is basic things that you could just do on your phone, 698 00:29:19,600 --> 00:29:22,320 Speaker 6: how to use gronk, how to use because it's not 699 00:29:22,440 --> 00:29:24,680 Speaker 6: going anywhere. So you're trying to teach a kid how 700 00:29:24,720 --> 00:29:28,560 Speaker 6: to actually write an essay. Well, when in life are 701 00:29:28,600 --> 00:29:29,960 Speaker 6: you going to need to write an essay? 702 00:29:31,000 --> 00:29:31,160 Speaker 1: Right? 703 00:29:31,160 --> 00:29:34,400 Speaker 6: Because I just wrote something just now and I fragment thoughts, 704 00:29:34,680 --> 00:29:36,840 Speaker 6: I put it in chat GBT and I say fix it, 705 00:29:37,200 --> 00:29:40,000 Speaker 6: and it puts together a well written train of thought. 706 00:29:40,440 --> 00:29:43,240 Speaker 5: That's the idea of the teacher that works with it's 707 00:29:43,280 --> 00:29:45,120 Speaker 5: going to get ahead because what happens when you banned 708 00:29:45,160 --> 00:29:47,960 Speaker 5: something more kids gonna use it. Right, It's like yo, 709 00:29:48,600 --> 00:29:51,600 Speaker 5: you should small kids gonna smoke, We're gonna prohibit alcohol. 710 00:29:51,640 --> 00:29:52,080 Speaker 2: What happens. 711 00:29:52,600 --> 00:29:55,360 Speaker 5: People are going to do what they're told not to do, 712 00:29:55,400 --> 00:29:57,440 Speaker 5: and so we got to figure out how we work 713 00:29:57,480 --> 00:29:59,600 Speaker 5: with it. The problem is, and I come from education 714 00:29:59,720 --> 00:30:02,560 Speaker 5: feel where it's like we feel threatened. Right, if it 715 00:30:02,680 --> 00:30:06,080 Speaker 5: checks the work and if it can have corrective census formation, 716 00:30:06,400 --> 00:30:08,040 Speaker 5: Then what am I supposed to do a lot. 717 00:30:08,000 --> 00:30:09,800 Speaker 7: Of people say that, you know, they're afraid that it's 718 00:30:09,800 --> 00:30:12,000 Speaker 7: gonna mess with their cognitive ability. So I agree with 719 00:30:12,000 --> 00:30:14,360 Speaker 7: with shad Is saying, just teach people how to use 720 00:30:14,400 --> 00:30:18,080 Speaker 7: their brain to prompt the chat GPT, work alongside with it, 721 00:30:18,520 --> 00:30:20,040 Speaker 7: work with it, assistant, like, don't. 722 00:30:19,880 --> 00:30:21,160 Speaker 1: Let it do the work for you. 723 00:30:21,560 --> 00:30:24,560 Speaker 4: Yeah, but that's the problems, right, Like if you give 724 00:30:24,600 --> 00:30:27,080 Speaker 4: any kid homework, right and they know they have chat 725 00:30:27,120 --> 00:30:30,040 Speaker 4: GPT nine times out of ten, if their parents are 726 00:30:30,040 --> 00:30:31,800 Speaker 4: not over them, they're gonna put that thing in the 727 00:30:31,840 --> 00:30:33,360 Speaker 4: chat GPT and it's gonna come up with the answer. 728 00:30:33,720 --> 00:30:36,720 Speaker 6: But that's not necessarily a bad thing. 729 00:30:37,000 --> 00:30:38,800 Speaker 3: Yeah, I don't have to think anymore. 730 00:30:38,760 --> 00:30:39,880 Speaker 4: What I have to do is put the question in 731 00:30:40,000 --> 00:30:44,560 Speaker 4: hands it and I'm not even the homework. 732 00:30:43,200 --> 00:30:45,240 Speaker 5: Is to reinforce what was learned in school, correct, right, 733 00:30:45,280 --> 00:30:47,600 Speaker 5: Like at a certain point are you still checking homework. 734 00:30:49,040 --> 00:30:55,840 Speaker 2: Such a good I'm not masthing my wife does exactly. 735 00:30:55,880 --> 00:30:57,040 Speaker 2: It's like at a. 736 00:30:56,920 --> 00:31:00,960 Speaker 5: Certain point, like what they learned in school is reinforced 737 00:31:00,960 --> 00:31:02,800 Speaker 5: at home. But if the kids are like, let's teach 738 00:31:02,800 --> 00:31:05,720 Speaker 5: them more things, Like I always tell learning doesn't stop 739 00:31:05,800 --> 00:31:08,200 Speaker 5: in the four walls of a building. Let's teach them 740 00:31:08,200 --> 00:31:10,440 Speaker 5: about other things that you learn that in school. Let's 741 00:31:10,440 --> 00:31:12,560 Speaker 5: add to it, let's figure out how we use it. 742 00:31:12,600 --> 00:31:14,320 Speaker 5: That's why we got to teach them how to use AI. 743 00:31:14,440 --> 00:31:16,000 Speaker 5: That's why we got to teach them how to prompt 744 00:31:16,160 --> 00:31:18,000 Speaker 5: because we know that's where this is going, right. We 745 00:31:18,040 --> 00:31:21,200 Speaker 5: got to teach them like, if they're gaming, what's making 746 00:31:21,240 --> 00:31:23,920 Speaker 5: the graphics that good? Now I can tell there's a 747 00:31:23,960 --> 00:31:26,640 Speaker 5: segue there that if I'm paying for roebucks, let me 748 00:31:26,640 --> 00:31:28,680 Speaker 5: tell them how they can invest in that. What's new, 749 00:31:28,720 --> 00:31:30,600 Speaker 5: what's coming on roebucks in the next three months. It's 750 00:31:30,600 --> 00:31:32,760 Speaker 5: the same thing when I look at Netflix. Right, while 751 00:31:32,760 --> 00:31:34,560 Speaker 5: I'm investing Netflix, I look at what the rollout is 752 00:31:34,600 --> 00:31:36,680 Speaker 5: for the next three months, six months, or they got 753 00:31:36,680 --> 00:31:39,600 Speaker 5: the crowfit right okay, or they got the NFL contract. 754 00:31:39,640 --> 00:31:42,200 Speaker 5: I bet this is a company I can see sustainability in. 755 00:31:42,600 --> 00:31:44,960 Speaker 5: We got to have seguys and relatability to the real world. 756 00:31:46,680 --> 00:31:48,680 Speaker 1: Y'all bought up dame. That's and I always say, why 757 00:31:48,680 --> 00:31:48,800 Speaker 1: do you. 758 00:31:48,800 --> 00:31:49,360 Speaker 2: Look at us like that? 759 00:31:49,520 --> 00:31:54,360 Speaker 8: Just because I'm just thinking, I'm thinking about it now. 760 00:31:54,360 --> 00:31:58,360 Speaker 8: You just really don't realize how much we use AI, 761 00:31:58,400 --> 00:32:02,520 Speaker 8: we consume it because y'all, I got a homeboy who 762 00:32:02,960 --> 00:32:08,120 Speaker 8: uses chat GPT to communicate his feelings with his girlfriend. 763 00:32:09,320 --> 00:32:13,600 Speaker 8: Like seriously, he's not really good with expressing himself with 764 00:32:14,360 --> 00:32:20,320 Speaker 8: childhood or whatever Showerhood's like he's just not able to 765 00:32:20,360 --> 00:32:23,040 Speaker 8: express himself. So like his girl was about to leave 766 00:32:23,120 --> 00:32:26,200 Speaker 8: him for that, Like yo, like you're not intimate or 767 00:32:26,320 --> 00:32:28,000 Speaker 8: I mean, you're not affectionate with me, Like you don't 768 00:32:28,000 --> 00:32:31,080 Speaker 8: express And he downloaded chet GPT. 769 00:32:31,320 --> 00:32:33,160 Speaker 1: That saved his fucking relationship. 770 00:32:33,160 --> 00:32:36,920 Speaker 8: Like he expresses himself to her and it's teaching him. 771 00:32:37,160 --> 00:32:39,680 Speaker 8: And it's like his best friend like he talked to this, 772 00:32:39,880 --> 00:32:44,320 Speaker 8: My best friend got Bible studied with jet chat CHPT, Like. 773 00:32:44,280 --> 00:32:47,280 Speaker 5: It's crazy that that's the agentic AI is the next 774 00:32:47,320 --> 00:32:49,040 Speaker 5: wave right where it's like, yeah, you have a. 775 00:32:49,040 --> 00:32:51,800 Speaker 2: Phone agentic right, So it's an agent. 776 00:32:51,840 --> 00:32:53,960 Speaker 5: Everybody has an agent that you work with so to 777 00:32:54,040 --> 00:32:57,040 Speaker 5: express your feelings, to help you out to be a companion. 778 00:32:57,560 --> 00:32:58,680 Speaker 2: Like you ever seen a movie her? 779 00:32:59,400 --> 00:33:02,920 Speaker 5: Yeah, you already know we're headed with this, right, Like 780 00:33:02,960 --> 00:33:04,280 Speaker 5: that relationship piece is crazy. 781 00:33:04,280 --> 00:33:05,360 Speaker 2: You want to talk about the thirdy part? 782 00:33:06,520 --> 00:33:08,040 Speaker 6: When we went to when we went to a video, 783 00:33:08,240 --> 00:33:10,880 Speaker 6: we heard Jensen gave his keynote, so he was saying, like, 784 00:33:11,000 --> 00:33:13,640 Speaker 6: right now, AI is pretty much like, Okay, let's say 785 00:33:13,680 --> 00:33:16,560 Speaker 6: you have your family coming over for Thanksgiving dinner, right, 786 00:33:16,760 --> 00:33:19,800 Speaker 6: and you list eight names and you give it to 787 00:33:19,840 --> 00:33:23,760 Speaker 6: chat GBT and you like, put these names, sort it 788 00:33:23,800 --> 00:33:26,640 Speaker 6: out right. So they'll say, okay, Uncle Johnny says here, 789 00:33:28,200 --> 00:33:32,000 Speaker 6: little Nazia says here. They all just it's just like 790 00:33:32,680 --> 00:33:35,120 Speaker 6: not really too much thought into it. They're just putting 791 00:33:35,120 --> 00:33:39,280 Speaker 6: it together. The next level of AI, you'll say, they'll say, 792 00:33:39,360 --> 00:33:43,280 Speaker 6: asks me more, tell me more information. Okay, well he 793 00:33:43,360 --> 00:33:47,080 Speaker 6: has a drinking problem. Da. They start to make rational 794 00:33:47,120 --> 00:33:50,480 Speaker 6: decisions like okay, well I think it's best suited if 795 00:33:50,520 --> 00:33:52,640 Speaker 6: you have Charlemagne on this side of the table and 796 00:33:52,640 --> 00:33:54,960 Speaker 6: Aunt Jackie on that side of the table. Reason being 797 00:33:55,120 --> 00:33:57,440 Speaker 6: is because last thanks Given they had an argument dad. 798 00:33:58,080 --> 00:34:00,280 Speaker 6: So that's the next iteration of AI is with is 799 00:34:00,600 --> 00:34:05,040 Speaker 6: it's actually having rational thought. AI can't really have rational 800 00:34:05,080 --> 00:34:07,240 Speaker 6: thought right now. It can tell you like, okay, write 801 00:34:07,240 --> 00:34:10,279 Speaker 6: a sentimental poem. It'll write a sentimental poem, but if 802 00:34:10,320 --> 00:34:12,600 Speaker 6: you ask it too much in depth questions, it's not 803 00:34:12,640 --> 00:34:14,319 Speaker 6: going to be able to fully process it. The next 804 00:34:14,440 --> 00:34:17,400 Speaker 6: level of AI is like, that's what separates humans is 805 00:34:17,440 --> 00:34:20,880 Speaker 6: that we have rational thought, right, and empathy and empathy 806 00:34:21,280 --> 00:34:23,440 Speaker 6: and reasoning. So now all of that is going to 807 00:34:23,520 --> 00:34:27,320 Speaker 6: be combined into AI. So that's the real level of companion. 808 00:34:27,360 --> 00:34:30,160 Speaker 6: That's a real companion, right when you can actually you can, 809 00:34:30,200 --> 00:34:33,239 Speaker 6: you can have empathy, sympathy, you can reason, you can 810 00:34:33,800 --> 00:34:38,719 Speaker 6: raise your voice if necessary, you can. And the other 811 00:34:38,760 --> 00:34:48,120 Speaker 6: part that's coming is the physical robotics. So it's crazy 812 00:34:48,160 --> 00:34:52,640 Speaker 6: because we are looking at a situation where potentially people 813 00:34:52,640 --> 00:34:57,920 Speaker 6: will start choosing companions that are not humans. That's something 814 00:34:57,960 --> 00:35:00,960 Speaker 6: that it may sound like a far far reality, but 815 00:35:01,360 --> 00:35:03,920 Speaker 6: they're already working on that because think about how many 816 00:35:03,920 --> 00:35:06,200 Speaker 6: people have social anxiety. Think about how many kids after 817 00:35:06,239 --> 00:35:08,480 Speaker 6: COVID still don't know how to talk to Like you said, 818 00:35:08,600 --> 00:35:11,000 Speaker 6: like a lot of people scared to talk to girls, 819 00:35:11,040 --> 00:35:12,640 Speaker 6: are scared to talk to men. They don't want to 820 00:35:12,719 --> 00:35:15,080 Speaker 6: leave their home. If you can have the perfect person 821 00:35:15,280 --> 00:35:17,480 Speaker 6: that you designed by the way, you design how they look, 822 00:35:17,520 --> 00:35:20,200 Speaker 6: you design how they talk to, you can design the interaction. 823 00:35:21,360 --> 00:35:23,240 Speaker 6: Anything that they make in a movie is a preview 824 00:35:23,280 --> 00:35:25,840 Speaker 6: what's going to happen in the future. So they already 825 00:35:25,840 --> 00:35:27,920 Speaker 6: had these in the movies twenty years ago. Right, So 826 00:35:28,520 --> 00:35:32,160 Speaker 6: now when you start to see, okay, it starts with 827 00:35:32,239 --> 00:35:33,759 Speaker 6: a dog, it starts with a pet, like this is 828 00:35:33,800 --> 00:35:37,239 Speaker 6: my pet, then this is my assistant. Now the next 829 00:35:37,320 --> 00:35:40,360 Speaker 6: thing is this is my wife. It's crazy. This is 830 00:35:40,400 --> 00:35:42,719 Speaker 6: why we have to be involved in it because if 831 00:35:42,760 --> 00:35:45,160 Speaker 6: not like Ai, this is the first time in human 832 00:35:45,200 --> 00:35:47,560 Speaker 6: history where we've created something that's smarter than us. How 833 00:35:47,560 --> 00:35:50,359 Speaker 6: can you control it? And everybody that's smart says it, 834 00:35:50,440 --> 00:35:53,279 Speaker 6: like Elon Muss, All of these people are saying the 835 00:35:53,280 --> 00:35:56,080 Speaker 6: same thing, like they don't really know how far AI 836 00:35:56,160 --> 00:35:58,640 Speaker 6: is going to go because it's smarter than us. Imagine 837 00:35:58,680 --> 00:36:01,000 Speaker 6: if your dog was one hundred times I'm smarter than you, 838 00:36:01,040 --> 00:36:02,920 Speaker 6: would you feel comfortable having it next to you? 839 00:36:04,120 --> 00:36:07,440 Speaker 1: The way the ones programming it right always just unplugged. 840 00:36:07,520 --> 00:36:08,400 Speaker 2: But it's not. 841 00:36:08,480 --> 00:36:11,080 Speaker 5: It's not an unplugged when you're talking about so like 842 00:36:11,120 --> 00:36:14,520 Speaker 5: that data center economy, right, these huge, big factories that 843 00:36:14,520 --> 00:36:15,080 Speaker 5: they're building. 844 00:36:15,520 --> 00:36:19,000 Speaker 2: Each one of those factories right has one. 845 00:36:18,960 --> 00:36:22,000 Speaker 5: Hundred to two hundred and three hundred supercomputers inside, so 846 00:36:22,080 --> 00:36:25,000 Speaker 5: one supercomputer smarter than us already. It ain't as simple 847 00:36:25,000 --> 00:36:27,360 Speaker 5: as an unplugged right, like that's that's what happens. Like 848 00:36:28,080 --> 00:36:30,200 Speaker 5: people don't understand how this works. When you send the prompt, 849 00:36:30,280 --> 00:36:32,279 Speaker 5: it goes through the Wi Fi and the cloud and 850 00:36:32,320 --> 00:36:33,800 Speaker 5: it gets to that data center and it comes. 851 00:36:33,640 --> 00:36:34,360 Speaker 2: Back with the prompt. 852 00:36:34,560 --> 00:36:38,680 Speaker 5: Those supercomputers are always working twenty four hours a day, 853 00:36:39,000 --> 00:36:41,960 Speaker 5: seven days a week, and it's getting smarter every single second. 854 00:36:41,960 --> 00:36:45,040 Speaker 1: They're already rebelling, Yeah, they had God. 855 00:36:45,239 --> 00:36:46,319 Speaker 6: They tried to extort the God. 856 00:36:46,320 --> 00:36:48,920 Speaker 1: You've seen that he's reveal your affair. 857 00:36:49,160 --> 00:36:51,239 Speaker 5: Yeah, yeah, and that was a test run, but that 858 00:36:51,520 --> 00:36:53,600 Speaker 5: could happen. You give it your text, like if you 859 00:36:53,640 --> 00:36:55,920 Speaker 5: had a test conversation right now, like what your friend did, 860 00:36:56,200 --> 00:36:58,640 Speaker 5: and you sent that into a GBT and said like, hey, 861 00:36:59,200 --> 00:37:01,480 Speaker 5: how do you think my reasoning was here? 862 00:37:01,520 --> 00:37:01,680 Speaker 2: Right? 863 00:37:01,800 --> 00:37:04,400 Speaker 5: How did did you think I was aggressive? It's going 864 00:37:04,480 --> 00:37:08,000 Speaker 5: to give you a logistic understanding of the conversation and 865 00:37:08,000 --> 00:37:08,880 Speaker 5: give you feedbacks. 866 00:37:09,320 --> 00:37:12,120 Speaker 6: Sam Altman already said anything that you say the chat 867 00:37:12,160 --> 00:37:16,040 Speaker 6: GBT can be used against you, like technology can tell 868 00:37:16,080 --> 00:37:17,719 Speaker 6: the cops, like you know, he told me that he 869 00:37:18,040 --> 00:37:20,520 Speaker 6: committed this crime. Expart, Like you're talking to chat GBT, 870 00:37:20,600 --> 00:37:23,400 Speaker 6: you telling them information. You're not thinking that you're talking 871 00:37:23,440 --> 00:37:27,480 Speaker 6: to something that actually has the ability to tell on you. 872 00:37:27,880 --> 00:37:31,120 Speaker 6: He said it like, yes, don't tell chat GBT something 873 00:37:31,120 --> 00:37:32,880 Speaker 6: that you don't want something somebody else to know. 874 00:37:33,000 --> 00:37:34,560 Speaker 7: And that shit is scared because I was already I 875 00:37:34,640 --> 00:37:36,400 Speaker 7: was thinking exactly what you said, and I was going 876 00:37:36,440 --> 00:37:38,400 Speaker 7: to say the whole thing about Sam Altman. So just think, 877 00:37:39,160 --> 00:37:42,200 Speaker 7: just think about how brain like, and think about when 878 00:37:42,200 --> 00:37:43,719 Speaker 7: you be on your phone sometime and you talking and 879 00:37:43,800 --> 00:37:47,399 Speaker 7: you look at your phone and all this is making us, 880 00:37:47,400 --> 00:37:48,960 Speaker 7: but just one hundred times better. 881 00:37:49,600 --> 00:37:52,319 Speaker 4: Think about the stupid stuff we do, like how can 882 00:37:52,360 --> 00:38:00,240 Speaker 4: I make a bomb through chat GBT? 883 00:38:00,080 --> 00:38:02,160 Speaker 3: Go to learn that, like, yeah, how do I bury 884 00:38:02,200 --> 00:38:02,640 Speaker 3: in person? 885 00:38:02,719 --> 00:38:06,880 Speaker 2: Or how do I what somebody? 886 00:38:08,320 --> 00:38:10,600 Speaker 5: You know, we sat in rooms. I won't say what 887 00:38:10,719 --> 00:38:13,560 Speaker 5: we sat in rooms. And they're talking about just that, right. 888 00:38:13,640 --> 00:38:15,759 Speaker 5: So there's the sensored version of AI, which is what 889 00:38:15,800 --> 00:38:18,760 Speaker 5: the public gets, and then you have the uncensored version 890 00:38:18,840 --> 00:38:21,920 Speaker 5: of AI, which is what the hedge funds and the 891 00:38:22,000 --> 00:38:25,160 Speaker 5: creators and the developers get, so they can stop that 892 00:38:25,200 --> 00:38:29,640 Speaker 5: from happening. But who's the control the right right question. 893 00:38:29,680 --> 00:38:31,040 Speaker 5: That's why we got to be in the room. And 894 00:38:31,080 --> 00:38:32,600 Speaker 5: that example was the exact example. 895 00:38:33,160 --> 00:38:35,359 Speaker 6: What you like if you ask GPT how to create 896 00:38:35,400 --> 00:38:39,560 Speaker 6: a bomb, it'll the virtue from But he's like, I 897 00:38:39,719 --> 00:38:43,560 Speaker 6: have access to the unchecked filter. So if I wanted 898 00:38:43,560 --> 00:38:45,200 Speaker 6: to ask how to create a bomb, it'll give me 899 00:38:45,200 --> 00:38:46,879 Speaker 6: a detailed explanation of how to create a bomb. 900 00:38:48,120 --> 00:38:50,520 Speaker 7: Will be like, yo, I'm I can't help you, right 901 00:38:50,680 --> 00:38:54,200 Speaker 7: because they have But think about this, but even ghost guns, right, 902 00:38:54,600 --> 00:38:57,640 Speaker 7: you can go to micro center, buy a machine and 903 00:38:57,719 --> 00:39:00,400 Speaker 7: go to a gun shop and buy the actual parts 904 00:39:00,480 --> 00:39:00,920 Speaker 7: in printed. 905 00:39:01,560 --> 00:39:05,480 Speaker 4: That simple, which is ridiculous, and there's nobody to stop 906 00:39:05,480 --> 00:39:06,080 Speaker 4: you from doing it. 907 00:39:06,200 --> 00:39:09,120 Speaker 1: That's crazy. Would y'all get the chip? Like the new 908 00:39:09,320 --> 00:39:09,640 Speaker 1: links can? 909 00:39:09,680 --> 00:39:11,839 Speaker 7: Think about it? Like, there's gonna be people out here 910 00:39:12,000 --> 00:39:14,080 Speaker 7: that are doing that. They're gonna be smarter than us. 911 00:39:14,760 --> 00:39:16,680 Speaker 7: You know, they're gonna be able to break things down 912 00:39:16,719 --> 00:39:19,239 Speaker 7: faster than us in order to keep up. If you 913 00:39:19,280 --> 00:39:21,600 Speaker 7: know that majority of the population is getting this NEURALNK 914 00:39:21,680 --> 00:39:23,560 Speaker 7: or whatever it's gonna be. And you know, we grew 915 00:39:23,640 --> 00:39:25,760 Speaker 7: up in the era where they we was mean chips, 916 00:39:25,760 --> 00:39:27,759 Speaker 7: put chips into babies and all that we was against that. 917 00:39:28,040 --> 00:39:28,879 Speaker 1: Would you do that? 918 00:39:29,239 --> 00:39:29,920 Speaker 6: Would you do it? 919 00:39:30,200 --> 00:39:30,680 Speaker 3: I don't know. 920 00:39:31,000 --> 00:39:31,640 Speaker 1: I really don't know. 921 00:39:32,680 --> 00:39:34,759 Speaker 8: That's my answer as well. I don't know if you 922 00:39:34,920 --> 00:39:37,560 Speaker 8: heard about it, I'm like, hell no. But then with 923 00:39:37,680 --> 00:39:40,560 Speaker 8: all the movies I'm watching, ship everything that they're clearly 924 00:39:40,920 --> 00:39:43,880 Speaker 8: putting in front of us because they know we just 925 00:39:43,920 --> 00:39:46,560 Speaker 8: gonna think it's a movie. No no, no, Like I 926 00:39:46,680 --> 00:39:47,279 Speaker 8: really don't know. 927 00:39:47,520 --> 00:39:49,360 Speaker 7: They got the glasses, now, they got the prompters and 928 00:39:49,400 --> 00:39:49,880 Speaker 7: them people. 929 00:39:50,120 --> 00:39:51,879 Speaker 1: You know, you can be debating with somebody and they. 930 00:39:53,440 --> 00:39:55,440 Speaker 6: The normal thing is so interesting because it's like the 931 00:39:55,520 --> 00:39:58,440 Speaker 6: people that don't know that's Elon Musk's company, and they 932 00:39:58,560 --> 00:40:02,960 Speaker 6: already have paraplegics that can that can move now people 933 00:40:03,040 --> 00:40:06,480 Speaker 6: moving chess pieces with their brain. So my thing is 934 00:40:06,480 --> 00:40:08,520 Speaker 6: like even for languages, right, like imagine if you can 935 00:40:08,560 --> 00:40:11,040 Speaker 6: download every single language in your brain. So you go 936 00:40:11,120 --> 00:40:14,560 Speaker 6: to France and now you speak fluent French. That's helpful. 937 00:40:15,040 --> 00:40:17,000 Speaker 6: Or you go to you know, Mexico and now you 938 00:40:17,040 --> 00:40:26,560 Speaker 6: speak fluent Spanish, right like yes, I know, but also imagine, okay, 939 00:40:26,680 --> 00:40:29,960 Speaker 6: like what if something what if it what if it 940 00:40:29,960 --> 00:40:35,839 Speaker 6: gets hacked? Yeah, that's why I wouldn't do it, because 941 00:40:35,840 --> 00:40:38,319 Speaker 6: I'll be too nervous, like if it gets hacked. And 942 00:40:38,360 --> 00:40:40,560 Speaker 6: now it's telling me, okay, you must do this, you 943 00:40:40,680 --> 00:40:41,239 Speaker 6: must like what. 944 00:40:41,239 --> 00:40:41,760 Speaker 1: I'm saying. 945 00:40:43,480 --> 00:40:48,400 Speaker 2: A joke, Jesus Christ, good question. You know. 946 00:40:49,719 --> 00:40:53,400 Speaker 5: Question, it's tough because they just developed the model that 947 00:40:53,560 --> 00:40:56,759 Speaker 5: actually can charge his battery by itself, so that was 948 00:40:56,800 --> 00:40:58,200 Speaker 5: part of the Yeah, it's crazy. 949 00:40:58,239 --> 00:41:00,200 Speaker 2: So like the robotics, like obviously. 950 00:41:00,000 --> 00:41:01,799 Speaker 5: Elon's trying to do, but China's doing it as well. 951 00:41:02,360 --> 00:41:04,480 Speaker 5: Is like the robotic agent that comes in And even 952 00:41:04,480 --> 00:41:05,920 Speaker 5: in the video they were saying like, yo, this is 953 00:41:05,960 --> 00:41:07,479 Speaker 5: the way they're going to have. It's going to start 954 00:41:07,480 --> 00:41:09,160 Speaker 5: in your house and it's going to do chores. 955 00:41:08,880 --> 00:41:10,800 Speaker 2: And things that you don't want to do. But eventually 956 00:41:10,840 --> 00:41:11,399 Speaker 2: they'll take over. 957 00:41:11,600 --> 00:41:13,319 Speaker 5: But the one thing that we still have to do 958 00:41:13,760 --> 00:41:15,440 Speaker 5: is that the robot would die and we have to 959 00:41:15,480 --> 00:41:17,239 Speaker 5: put it back on the charging. But then now they 960 00:41:17,239 --> 00:41:19,279 Speaker 5: have the technology where actually you put the charge in 961 00:41:19,320 --> 00:41:21,480 Speaker 5: your house and it walks down the steps and it 962 00:41:21,520 --> 00:41:24,359 Speaker 5: pulls the battery off, puts it back in, and then 963 00:41:24,400 --> 00:41:25,400 Speaker 5: when it's done, it comes back out. 964 00:41:25,960 --> 00:41:26,480 Speaker 2: Think about it. 965 00:41:26,480 --> 00:41:28,680 Speaker 3: They've been doing that for years with the little vacuum 966 00:41:30,400 --> 00:41:31,200 Speaker 3: and it goes right back. 967 00:41:32,960 --> 00:41:33,680 Speaker 2: Test run. 968 00:41:35,080 --> 00:41:38,600 Speaker 6: Him, Oh yeah, so when last time I saw him, 969 00:41:39,120 --> 00:41:43,480 Speaker 6: he said, do y'all have AI personal assistant? And like no, 970 00:41:43,640 --> 00:41:46,160 Speaker 6: he was like, first of all, you need to have one. 971 00:41:46,200 --> 00:41:49,000 Speaker 6: It's mandatory. And he was like, I'll sell you one. 972 00:41:49,320 --> 00:41:51,279 Speaker 6: And that's all he kept talking about, was like, you 973 00:41:51,520 --> 00:41:55,160 Speaker 6: gotta have an AI AI agent. You have to have 974 00:41:55,200 --> 00:41:58,200 Speaker 6: an AI agent. Like the way he was pushing it. 975 00:41:57,680 --> 00:41:59,919 Speaker 1: I'm like, okay, what is the AI agent? 976 00:42:00,320 --> 00:42:01,560 Speaker 6: Like a personal. 977 00:42:03,120 --> 00:42:05,160 Speaker 5: It might start as a device, right that you can 978 00:42:05,160 --> 00:42:07,279 Speaker 5: clip onto you, right, and you can talk to that 979 00:42:07,400 --> 00:42:10,520 Speaker 5: agent like, Hey, I'm hungry, is there anything in my fridge? 980 00:42:10,560 --> 00:42:13,120 Speaker 2: You know what you left me? It'll know. 981 00:42:13,480 --> 00:42:15,480 Speaker 1: I get that. I'm asking how did this? I know? 982 00:42:15,520 --> 00:42:16,279 Speaker 1: The agent is. 983 00:42:16,400 --> 00:42:16,799 Speaker 2: The first of way. 984 00:42:16,840 --> 00:42:19,880 Speaker 6: It seems like it was a robot, but now it's not. 985 00:42:20,080 --> 00:42:21,960 Speaker 6: But that's the next iteration of it. But yeah, it's 986 00:42:21,960 --> 00:42:24,280 Speaker 6: like a clip on a device or whatever. And it's like, okay, 987 00:42:24,560 --> 00:42:27,239 Speaker 6: right now, I want to go to Thailand next week, right, 988 00:42:27,560 --> 00:42:29,719 Speaker 6: but I can't leave in the morning. I gotta leave 989 00:42:29,760 --> 00:42:32,080 Speaker 6: at night. But I also need to stay at a 990 00:42:32,120 --> 00:42:34,600 Speaker 6: hotel that's close to the beach, and I need to 991 00:42:34,640 --> 00:42:36,200 Speaker 6: have a restaurant. And I mean you to have a 992 00:42:36,239 --> 00:42:38,720 Speaker 6: reservation at Nobool. The same thing you were telling assistant. 993 00:42:39,080 --> 00:42:40,640 Speaker 6: The AI is gonna be to do that in two minutes. 994 00:42:40,960 --> 00:42:43,200 Speaker 6: It's gonna book you hotell them, it's gonna get the reservation. 995 00:42:43,280 --> 00:42:44,440 Speaker 6: It's going to do that. It's going to do that. 996 00:42:44,480 --> 00:42:47,960 Speaker 6: It's going it's going to notify your child's teacher that 997 00:42:48,040 --> 00:42:49,400 Speaker 6: you won't be able to pick them up from school. 998 00:42:50,400 --> 00:42:52,280 Speaker 6: It's going to pretty much manage your life. 999 00:42:53,840 --> 00:42:54,399 Speaker 3: To pay it. 1000 00:42:54,520 --> 00:43:00,239 Speaker 8: Because I paid somebody to do all that right now. 1001 00:43:00,040 --> 00:43:02,719 Speaker 5: Is probably gonna be morefficient than the person PA a 1002 00:43:02,719 --> 00:43:04,320 Speaker 5: lot less than you would have to pay a person. 1003 00:43:04,760 --> 00:43:05,279 Speaker 1: The trust you. 1004 00:43:05,280 --> 00:43:06,920 Speaker 7: Got to have in that though, because if I've never 1005 00:43:07,000 --> 00:43:08,880 Speaker 7: been to China, so I'm gonna say you with shod Troy, 1006 00:43:09,360 --> 00:43:11,239 Speaker 7: y'all been to China, what should I be looking out for? Like, 1007 00:43:11,480 --> 00:43:14,839 Speaker 7: there's something about the human experience you don't always need 1008 00:43:14,920 --> 00:43:15,360 Speaker 7: more to be. 1009 00:43:15,440 --> 00:43:16,480 Speaker 1: Than with a robot. 1010 00:43:16,560 --> 00:43:20,319 Speaker 6: Tell that's true, that's true, And that's yeah, that's and 1011 00:43:20,320 --> 00:43:23,440 Speaker 6: that's the delicate line that we were walking. As far 1012 00:43:23,480 --> 00:43:26,520 Speaker 6: as AI and human experience, we still have a human 1013 00:43:26,560 --> 00:43:30,160 Speaker 6: experience that's needed. Hopefully it will continue. 1014 00:43:31,920 --> 00:43:32,520 Speaker 1: It's crazy. 1015 00:43:32,560 --> 00:43:33,920 Speaker 8: All right, Look, this is the last thing I gotta say, 1016 00:43:33,920 --> 00:43:36,279 Speaker 8: because now y'all got my my fucking mind going right. 1017 00:43:36,320 --> 00:43:40,799 Speaker 8: So months ago, right, I had my my gallbladder removed, right, 1018 00:43:40,840 --> 00:43:43,280 Speaker 8: And I saw a doctor. I saw like three doctors 1019 00:43:43,280 --> 00:43:45,120 Speaker 8: came in. At first they were saying, now we're just 1020 00:43:45,120 --> 00:43:46,920 Speaker 8: gonna have to take the godstones out, and then they're like, 1021 00:43:46,960 --> 00:43:49,120 Speaker 8: now we're just gonna remove the whole gallbladder. So the 1022 00:43:49,200 --> 00:43:51,359 Speaker 8: last doctor who was supposed to have been doing it, 1023 00:43:51,800 --> 00:43:53,799 Speaker 8: he was like, all right, we're gonna have like it 1024 00:43:53,880 --> 00:43:55,520 Speaker 8: was a machine that did it, like an. 1025 00:43:55,320 --> 00:43:57,080 Speaker 3: AI robot that did it. 1026 00:43:57,440 --> 00:44:01,359 Speaker 8: They just oversee it, like he ever touched me at all. 1027 00:44:01,400 --> 00:44:05,439 Speaker 8: The doctor never ever touched me. It was of course 1028 00:44:05,480 --> 00:44:07,440 Speaker 8: I went under, they put me under anesthesi and all that, 1029 00:44:07,800 --> 00:44:12,000 Speaker 8: but they told me that a robot will be doing it. 1030 00:44:12,160 --> 00:44:14,879 Speaker 8: AI robot will be doing my surgery, and that's who 1031 00:44:14,880 --> 00:44:15,239 Speaker 8: did it. 1032 00:44:15,640 --> 00:44:16,320 Speaker 7: So that's crazy. 1033 00:44:16,360 --> 00:44:17,399 Speaker 3: I just want to throw it out now. I ain't 1034 00:44:17,400 --> 00:44:18,080 Speaker 3: got no questions that. 1035 00:44:20,400 --> 00:44:22,160 Speaker 2: Probably did it more efficiently, right, because it's going to 1036 00:44:22,239 --> 00:44:22,799 Speaker 2: be a human error. 1037 00:44:22,840 --> 00:44:24,719 Speaker 5: Right, somebody's using their hands like you never know what 1038 00:44:24,760 --> 00:44:25,919 Speaker 5: they've been doing today, and. 1039 00:44:25,840 --> 00:44:29,160 Speaker 8: It's perfect and you can even see the incisions, but 1040 00:44:29,239 --> 00:44:30,120 Speaker 8: like it's perfect. 1041 00:44:30,320 --> 00:44:33,200 Speaker 6: Think about how many all right dentists, right, A lot 1042 00:44:33,239 --> 00:44:36,800 Speaker 6: of dentists develop carpal tunnel syndrome and they should have 1043 00:44:36,880 --> 00:44:40,640 Speaker 6: shaky hands. So think about the human error that happens 1044 00:44:40,680 --> 00:44:42,680 Speaker 6: if a dentist not on purpose. That's why they have 1045 00:44:42,760 --> 00:44:47,080 Speaker 6: so much medical the laws, the liability insurance right because 1046 00:44:47,080 --> 00:44:50,160 Speaker 6: if they make a mistake, then insurance has to pay 1047 00:44:50,200 --> 00:44:52,399 Speaker 6: for that. And there's billions of dollars that's paid out 1048 00:44:52,400 --> 00:44:55,400 Speaker 6: and claims every single year because doctors make mistakes that 1049 00:44:56,040 --> 00:44:57,240 Speaker 6: potentially could kill somebody. 1050 00:44:57,360 --> 00:44:57,520 Speaker 1: Right. 1051 00:44:58,400 --> 00:45:00,719 Speaker 6: Bill Gates said the two industry he's going to get 1052 00:45:00,760 --> 00:45:04,120 Speaker 6: impacted the most is health care and education. That's what 1053 00:45:04,200 --> 00:45:07,120 Speaker 6: he said. He said healthcare, education is gonna get impacted 1054 00:45:07,160 --> 00:45:10,120 Speaker 6: the most by artificial intelligence. So yeah, doctors, you're going 1055 00:45:10,160 --> 00:45:12,640 Speaker 6: to see like a full robot performing surgery. That's going 1056 00:45:12,680 --> 00:45:14,680 Speaker 6: to happen, and you're gonna have clap like I said, 1057 00:45:14,840 --> 00:45:20,440 Speaker 6: Cali all right. Calise said her youngest child is fully AI. 1058 00:45:21,760 --> 00:45:25,120 Speaker 6: He only gets taught two hours a day, and she 1059 00:45:25,160 --> 00:45:27,759 Speaker 6: said it's the best educational experience that she's ever seen. 1060 00:45:28,080 --> 00:45:31,439 Speaker 6: He's like a year ahead of the rest of kids 1061 00:45:31,440 --> 00:45:34,839 Speaker 6: that's in his class. It's interactive. It's like Okay, they 1062 00:45:34,880 --> 00:45:37,279 Speaker 6: teach you something and they said do you understand it? 1063 00:45:37,400 --> 00:45:39,040 Speaker 6: And he's like, no, I don't understand it. Why don't 1064 00:45:39,080 --> 00:45:41,160 Speaker 6: you understand it? And they have a real time conversation 1065 00:45:41,239 --> 00:45:43,520 Speaker 6: one on one. It's a one on one experience, and 1066 00:45:43,600 --> 00:45:45,360 Speaker 6: she was breaking it down to us and she was like, Yo, 1067 00:45:45,480 --> 00:45:48,160 Speaker 6: he only does this for two hours. And then he 1068 00:45:48,200 --> 00:45:50,080 Speaker 6: travels with me. I got a show. I'm going to 1069 00:45:50,120 --> 00:45:52,400 Speaker 6: South Africa and he's on the road and we pack up. 1070 00:45:52,400 --> 00:45:54,400 Speaker 6: As long as he got a computer, he can do 1071 00:45:54,440 --> 00:45:55,279 Speaker 6: it anywhere in the world. 1072 00:45:55,680 --> 00:45:56,399 Speaker 2: Wow, it's real. 1073 00:45:56,920 --> 00:45:59,840 Speaker 5: Like the medical think about this, right in terms of learning, 1074 00:46:00,440 --> 00:46:02,919 Speaker 5: I think it said it took the first version of chat. 1075 00:46:02,880 --> 00:46:08,279 Speaker 2: GBT fourteen days to calm the entire internet and learn 1076 00:46:08,320 --> 00:46:09,359 Speaker 2: everything on the internet. Right. 1077 00:46:09,719 --> 00:46:13,719 Speaker 5: But now think about when you're talking about deep disease right, 1078 00:46:13,760 --> 00:46:16,640 Speaker 5: like it can break down cells and figure out what's 1079 00:46:16,680 --> 00:46:17,520 Speaker 5: the cause of cancer. 1080 00:46:17,560 --> 00:46:19,920 Speaker 2: How do we prevent cancer? Like in the next seven 1081 00:46:19,920 --> 00:46:20,840 Speaker 2: to ten years. 1082 00:46:20,600 --> 00:46:23,040 Speaker 5: Like a lot of the diseases that exist today, they 1083 00:46:23,080 --> 00:46:25,719 Speaker 5: will have a cure for That changes the world. 1084 00:46:25,960 --> 00:46:27,400 Speaker 7: Yeah, I mean I think about you know, I read 1085 00:46:27,440 --> 00:46:30,480 Speaker 7: about stuff like nanobots. I would definitely do that, you 1086 00:46:30,560 --> 00:46:33,360 Speaker 7: know what I mean, Like, what is that nanoboxy you 1087 00:46:33,440 --> 00:46:35,120 Speaker 7: go in your system? Like they're talking about nanabos can 1088 00:46:35,280 --> 00:46:37,919 Speaker 7: clean out your arteries clean out the cholesterol without any 1089 00:46:37,960 --> 00:46:40,280 Speaker 7: type of surgeries anything like that, clean out. 1090 00:46:40,200 --> 00:46:41,120 Speaker 1: Types of cancers. 1091 00:46:41,640 --> 00:46:44,319 Speaker 7: It's like I would definitely have tory and they say 1092 00:46:44,360 --> 00:46:46,920 Speaker 7: this damn, they're gonna make us some mortal. Yeah, because 1093 00:46:46,920 --> 00:46:49,520 Speaker 7: it can cure it, I mean, kill any disease. I 1094 00:46:49,560 --> 00:46:51,000 Speaker 7: don't know if I would do neural link, but something 1095 00:46:51,000 --> 00:46:52,120 Speaker 7: like the nanobots, I would. 1096 00:46:51,920 --> 00:46:53,920 Speaker 2: Definitely that changes life expectancy, right. 1097 00:46:54,000 --> 00:46:56,960 Speaker 1: Yeah, got a couple more questions. Samber City, that's what 1098 00:46:57,000 --> 00:46:59,040 Speaker 1: I was pronounced Sam Samber. 1099 00:46:59,080 --> 00:47:08,200 Speaker 7: It's a three hundred eight residential community that. 1100 00:47:09,040 --> 00:47:12,320 Speaker 2: Correctly man the Welcome Home City, three. 1101 00:47:12,239 --> 00:47:15,200 Speaker 7: Hundred acre residential community in the cry you're doing it 1102 00:47:15,239 --> 00:47:16,320 Speaker 7: with my man, Chaka Baars. 1103 00:47:16,680 --> 00:47:17,320 Speaker 1: What's that about? 1104 00:47:17,440 --> 00:47:19,879 Speaker 6: Yeah, shout out to Alvin Kwame. So we we met 1105 00:47:20,920 --> 00:47:22,799 Speaker 6: two we as well. We met some really big real 1106 00:47:22,880 --> 00:47:25,520 Speaker 6: estate developers just entrepreneurs period. When we went to Ghana, 1107 00:47:26,000 --> 00:47:28,920 Speaker 6: Shaka Bars introduced us to them and we just developed 1108 00:47:28,920 --> 00:47:30,920 Speaker 6: a great relationship. They've been super a one with us. 1109 00:47:30,920 --> 00:47:33,640 Speaker 6: They've really been ushering us all through the continent. Anytime 1110 00:47:33,680 --> 00:47:35,280 Speaker 6: you see us in Africa, it's because. 1111 00:47:35,040 --> 00:47:39,000 Speaker 2: Of them that he used to work with Lauren hill Backer. 1112 00:47:39,040 --> 00:47:41,120 Speaker 6: He used to be in music. But long story short, 1113 00:47:41,280 --> 00:47:44,440 Speaker 6: they already owned They owned the land already and they 1114 00:47:44,520 --> 00:47:46,319 Speaker 6: just just thinking about different ideas how they wanted to 1115 00:47:46,360 --> 00:47:49,719 Speaker 6: develop it. But once again, they wanted to build with 1116 00:47:49,760 --> 00:47:51,960 Speaker 6: Black Americans. They're like, yo, like we want to do 1117 00:47:52,000 --> 00:47:53,799 Speaker 6: something where we can kind of bridge the gap. It's 1118 00:47:53,840 --> 00:47:58,160 Speaker 6: not just for Black Americans, it's for Ghanaians, is for Africans, 1119 00:47:58,320 --> 00:48:01,040 Speaker 6: but it's also for people in diaspora also. The idea 1120 00:48:01,160 --> 00:48:05,360 Speaker 6: is to create a bridge, right, So that's something because 1121 00:48:05,480 --> 00:48:09,839 Speaker 6: they're crazy how social media works. Okay, we do all 1122 00:48:09,920 --> 00:48:12,680 Speaker 6: this private sector. We never spoke to anybody at that 1123 00:48:12,719 --> 00:48:13,840 Speaker 6: time in the Ghanian government. 1124 00:48:13,880 --> 00:48:14,120 Speaker 1: I don't know. 1125 00:48:14,200 --> 00:48:16,040 Speaker 6: There's no dispect to the Ghanian government, but that's just 1126 00:48:16,040 --> 00:48:17,920 Speaker 6: the fact. But then there was a video that went 1127 00:48:18,000 --> 00:48:20,960 Speaker 6: viral on social media about like, yo, the Ghanaian government 1128 00:48:21,000 --> 00:48:23,200 Speaker 6: gave four hundred acres of land to earn your lesion. 1129 00:48:23,280 --> 00:48:26,640 Speaker 6: It's just for black Americans. And it was a very 1130 00:48:26,640 --> 00:48:29,520 Speaker 6: convincing storyline that it made and it wasn't even like 1131 00:48:29,520 --> 00:48:34,239 Speaker 6: a derogatory story but it was just one false and 1132 00:48:34,280 --> 00:48:36,960 Speaker 6: then people was like, oh, y'all, y'all colonizing, y'all coming in, 1133 00:48:37,040 --> 00:48:39,239 Speaker 6: y'all doing y'all. Y'all worse than the Britons. I'm like, 1134 00:48:39,800 --> 00:48:43,480 Speaker 6: we're working with the African It's not for just Black Americans, 1135 00:48:43,480 --> 00:48:45,279 Speaker 6: for anybody that wants to buy property and da da 1136 00:48:45,320 --> 00:48:48,080 Speaker 6: da da. But social media has become a place where 1137 00:48:48,080 --> 00:48:50,719 Speaker 6: you can create a narrative. The truth doesn't matter, you 1138 00:48:50,760 --> 00:48:53,799 Speaker 6: know what I'm saying, Like, as long as it's entertaining, right, 1139 00:48:53,880 --> 00:48:55,839 Speaker 6: you can just create a narrative and then people will 1140 00:48:55,880 --> 00:48:59,200 Speaker 6: just run with it. But Sombra, the idea of that 1141 00:48:59,440 --> 00:49:02,960 Speaker 6: is to act shoually just create a thriving community in 1142 00:49:03,000 --> 00:49:06,360 Speaker 6: Ghana where you know a lot of people go in December, 1143 00:49:06,920 --> 00:49:09,239 Speaker 6: but it's like that's not really beneficial long term for 1144 00:49:09,280 --> 00:49:12,239 Speaker 6: the economic prosperity of the country. So we want to 1145 00:49:12,280 --> 00:49:15,040 Speaker 6: create something where it's like, Okay, you can either a 1146 00:49:15,280 --> 00:49:18,439 Speaker 6: live there or you can airbn be it out because 1147 00:49:18,440 --> 00:49:20,560 Speaker 6: everybody's not going to move to Africa, right, so you 1148 00:49:20,640 --> 00:49:23,279 Speaker 6: buy a Probably real estate in Ghana has gone up 1149 00:49:23,320 --> 00:49:25,200 Speaker 6: tremendously over the last ten years. It's going to keep 1150 00:49:25,200 --> 00:49:28,040 Speaker 6: going up. It's a housing shortage and in most countries, 1151 00:49:28,080 --> 00:49:31,520 Speaker 6: in Ghana specifically, so there's a demand for real estate. 1152 00:49:31,600 --> 00:49:35,080 Speaker 6: So you're now that project is going great. We should 1153 00:49:35,120 --> 00:49:37,759 Speaker 6: have the first phase done by hopefully New Years. And 1154 00:49:37,800 --> 00:49:40,440 Speaker 6: we're doing it in phases. And like I said, it's 1155 00:49:40,560 --> 00:49:44,960 Speaker 6: not for only Black Americans, it's for Ghanaians, it's for Nigerians, 1156 00:49:44,960 --> 00:49:47,560 Speaker 6: anybody on the continent. But it's also for black people 1157 00:49:47,600 --> 00:49:49,480 Speaker 6: as well. And like you know, to own own a 1158 00:49:49,520 --> 00:49:52,799 Speaker 6: piece of land in the motherland. You can airbing be 1159 00:49:52,840 --> 00:49:56,040 Speaker 6: at Airbnb is great, especially in December. You can make 1160 00:49:56,160 --> 00:49:57,799 Speaker 6: a lot of money just in a couple of weeks 1161 00:49:57,840 --> 00:50:00,319 Speaker 6: in December because that's when everybody comes. And you can 1162 00:50:00,360 --> 00:50:01,799 Speaker 6: also have somewhere to go if you want to just 1163 00:50:01,800 --> 00:50:02,239 Speaker 6: get away. 1164 00:50:02,320 --> 00:50:02,440 Speaker 1: You know. 1165 00:50:02,600 --> 00:50:05,160 Speaker 6: It's I always like going to Africa because it's just 1166 00:50:05,239 --> 00:50:08,960 Speaker 6: like you don't realize how toxic something is until you 1167 00:50:09,040 --> 00:50:11,479 Speaker 6: leave it. Yeah, and America is just so toxic social 1168 00:50:11,560 --> 00:50:13,000 Speaker 6: media and all that. And it's just like even you 1169 00:50:13,120 --> 00:50:14,719 Speaker 6: on social media, you still like you feel like you're 1170 00:50:14,719 --> 00:50:18,160 Speaker 6: on a different algorithm. You don't feel inundated by all 1171 00:50:18,200 --> 00:50:21,920 Speaker 6: of the toxicity. But as soon as you land back 1172 00:50:21,920 --> 00:50:23,600 Speaker 6: in JFK, it's like right back to it. 1173 00:50:25,040 --> 00:50:25,239 Speaker 1: Yeah. 1174 00:50:25,400 --> 00:50:27,600 Speaker 5: That's the fact you go to a country everybody looks 1175 00:50:27,600 --> 00:50:28,680 Speaker 5: like you that's foreign to me. 1176 00:50:29,080 --> 00:50:29,719 Speaker 2: You know what I'm saying. 1177 00:50:29,760 --> 00:50:32,960 Speaker 5: And the goal is, yes, this is the first development, 1178 00:50:33,280 --> 00:50:35,200 Speaker 5: but the idea is like, yeah, this is something that 1179 00:50:35,200 --> 00:50:36,000 Speaker 5: could be replicated. 1180 00:50:36,440 --> 00:50:36,600 Speaker 1: Right. 1181 00:50:36,640 --> 00:50:38,520 Speaker 5: It's the reason why you go to a different country, 1182 00:50:38,719 --> 00:50:40,520 Speaker 5: why you see us and can you see us Rwanda? 1183 00:50:40,719 --> 00:50:42,399 Speaker 5: You see us in other a bunch of countries, because 1184 00:50:42,760 --> 00:50:45,399 Speaker 5: this is how you create something that is a legacy, right, 1185 00:50:45,480 --> 00:50:47,359 Speaker 5: not just for you, but for everybody that I ask. 1186 00:50:47,400 --> 00:50:48,440 Speaker 2: But like, this is something that. 1187 00:50:48,280 --> 00:50:51,320 Speaker 5: We can be proud of and it happened on your watch, 1188 00:50:51,400 --> 00:50:54,040 Speaker 5: Like you watched us get the ground, We've been watching 1189 00:50:54,080 --> 00:50:55,040 Speaker 5: us through the stages, and that you. 1190 00:50:55,000 --> 00:50:55,600 Speaker 2: Can be part of it. 1191 00:50:56,000 --> 00:50:57,520 Speaker 7: How do y'all define this is my last question? How 1192 00:50:57,600 --> 00:51:01,880 Speaker 7: y'all define success for invest Fest Now? Is it you know, partnerships, 1193 00:51:01,960 --> 00:51:04,120 Speaker 7: is it media coverage or something that we don't even see? 1194 00:51:04,120 --> 00:51:04,960 Speaker 1: Cultural impact? 1195 00:51:05,239 --> 00:51:07,400 Speaker 6: It's only above. I mean, I feel like if you 1196 00:51:07,480 --> 00:51:09,359 Speaker 6: look at invest Fast, anything that we've done is pretty 1197 00:51:09,440 --> 00:51:12,960 Speaker 6: unprecedented as far as Okay, it's not just called the festival, 1198 00:51:13,000 --> 00:51:14,839 Speaker 6: it's an actual festival. Right over the course of the wee 1199 00:51:14,840 --> 00:51:16,719 Speaker 6: can have forty thousand people. That's how they do. They 1200 00:51:16,719 --> 00:51:18,600 Speaker 6: do about like how many people come in per day? 1201 00:51:20,040 --> 00:51:23,320 Speaker 6: But we did that ourselves. It's not like we worked 1202 00:51:23,360 --> 00:51:28,520 Speaker 6: with another major corporation. A lot of festivals that they're 1203 00:51:28,560 --> 00:51:31,719 Speaker 6: funded and they're operated by major corporations. Nothing wrong with that, 1204 00:51:31,800 --> 00:51:34,719 Speaker 6: but like they get the talent and they get the 1205 00:51:35,120 --> 00:51:37,560 Speaker 6: venue and then they promoted and all that. Like we 1206 00:51:37,600 --> 00:51:40,280 Speaker 6: did everything ourselves. Even to this day, we did everything ourselves. 1207 00:51:40,360 --> 00:51:44,840 Speaker 6: So it's a beacon of what can be possible. Just 1208 00:51:44,880 --> 00:51:46,560 Speaker 6: an idea, like you I mean like once again you 1209 00:51:46,600 --> 00:51:49,080 Speaker 6: actually GPT the biggest financial events in the world. Investments 1210 00:51:49,160 --> 00:51:50,920 Speaker 6: is going to come up in the top five. So 1211 00:51:51,280 --> 00:51:53,680 Speaker 6: that just we just started that just off an idea. 1212 00:51:54,400 --> 00:51:58,600 Speaker 6: So success is seeing that come to fruition, no matter 1213 00:51:58,640 --> 00:52:00,839 Speaker 6: what happens, is a success because we was actually able 1214 00:52:00,840 --> 00:52:03,319 Speaker 6: to put it together and have multiple billionaires and have 1215 00:52:03,560 --> 00:52:06,280 Speaker 6: four hundred small business vendors and have you know, eighty 1216 00:52:06,320 --> 00:52:09,960 Speaker 6: panelists on stage and employ you know, you're talking about 1217 00:52:10,040 --> 00:52:13,560 Speaker 6: economic impact. We're employing people from security to a v 1218 00:52:14,320 --> 00:52:17,000 Speaker 6: to a variety of different things that you know, these 1219 00:52:17,000 --> 00:52:19,600 Speaker 6: are things that's not talked about. People don't understand it 1220 00:52:19,640 --> 00:52:21,920 Speaker 6: because they've never done it right. You can't fully understand 1221 00:52:21,920 --> 00:52:24,400 Speaker 6: some until you actually do it. But these are things 1222 00:52:24,400 --> 00:52:26,400 Speaker 6: that like we see in real time, so we know 1223 00:52:26,440 --> 00:52:27,880 Speaker 6: what it means to the city of Atlanta and what 1224 00:52:27,960 --> 00:52:30,080 Speaker 6: it means to just our culture period. But as far 1225 00:52:30,120 --> 00:52:33,520 Speaker 6: as other variations of success, when people make money, so 1226 00:52:33,719 --> 00:52:37,200 Speaker 6: the vendor marketplace, like, that's a great opportunity for anybody, 1227 00:52:37,280 --> 00:52:40,080 Speaker 6: small business to make money from people that's coming from 1228 00:52:40,080 --> 00:52:43,120 Speaker 6: the pitch competition standpoint, from people that's actually attending. There's 1229 00:52:43,160 --> 00:52:46,400 Speaker 6: no way you can attend three days of full workshops 1230 00:52:46,440 --> 00:52:50,040 Speaker 6: panels and not learn something. But then also networking that happens, right, 1231 00:52:50,040 --> 00:52:52,360 Speaker 6: you might meet a business partner, you might meet somebody 1232 00:52:52,640 --> 00:52:54,640 Speaker 6: that wants to invest in your company, stuff like that. 1233 00:52:54,719 --> 00:53:00,200 Speaker 6: So bringing that many people together keep we keep on 1234 00:53:00,400 --> 00:53:04,319 Speaker 6: elevating the experience, We add things to it, We see 1235 00:53:04,360 --> 00:53:06,600 Speaker 6: what we could have did better the year before. And 1236 00:53:06,640 --> 00:53:08,480 Speaker 6: that's why I think the essence thing is kind of 1237 00:53:08,480 --> 00:53:11,840 Speaker 6: disheartening because a lot of people just want to criticize, 1238 00:53:12,280 --> 00:53:13,920 Speaker 6: but they have what have you done? 1239 00:53:14,080 --> 00:53:14,560 Speaker 1: Take the risk? 1240 00:53:15,520 --> 00:53:17,759 Speaker 6: Nineteen Keys. Nineteen Keys said something to me that was 1241 00:53:17,800 --> 00:53:21,680 Speaker 6: extremely insightful. He was like, don't destroy something if you 1242 00:53:21,719 --> 00:53:25,120 Speaker 6: don't have a better alternative to build, Like you know 1243 00:53:25,120 --> 00:53:26,799 Speaker 6: what I'm saying, Like, if you're going to destroy it. 1244 00:53:27,120 --> 00:53:30,320 Speaker 6: Make sure you can build something that's two times better 1245 00:53:30,880 --> 00:53:34,000 Speaker 6: than what you destroy. Ninety nine percent of the population 1246 00:53:34,200 --> 00:53:37,319 Speaker 6: they want to destroy something with no alternative. So it's like, Okay, 1247 00:53:37,320 --> 00:53:39,760 Speaker 6: you want to destroy essence. It might not have been perfect, 1248 00:53:40,320 --> 00:53:43,000 Speaker 6: but what is going to be the alternative? Who else 1249 00:53:43,040 --> 00:53:45,840 Speaker 6: is going to give all of these opportunities to different 1250 00:53:45,840 --> 00:53:48,840 Speaker 6: businesses and employ people and bring economic empowerment and like 1251 00:53:49,120 --> 00:53:51,919 Speaker 6: this is this is a real economic impact that's actually happening, right, 1252 00:53:52,040 --> 00:53:53,600 Speaker 6: So okay, let's say it just goes away and it 1253 00:53:53,640 --> 00:53:54,839 Speaker 6: is no more essence next year? 1254 00:53:55,200 --> 00:53:55,920 Speaker 1: Then what then? 1255 00:53:55,960 --> 00:53:59,120 Speaker 6: What? You know what I'm saying, What does New Orleans have? 1256 00:53:59,239 --> 00:54:01,840 Speaker 6: What is all these entrepreneurs have? What do these local 1257 00:54:02,200 --> 00:54:05,480 Speaker 6: restaurant tours have? You know what I'm saying? Like, nobody 1258 00:54:05,480 --> 00:54:07,480 Speaker 6: ever thinks about that, Like you, you want to destroy 1259 00:54:07,560 --> 00:54:09,799 Speaker 6: something with no viable option of replacing it. 1260 00:54:09,920 --> 00:54:11,239 Speaker 5: A lot of these people are making that year in 1261 00:54:11,280 --> 00:54:14,120 Speaker 5: the weekend, Like that that happens you take that away? 1262 00:54:14,920 --> 00:54:18,800 Speaker 1: Yeah, I mean that hundred thousand, Shut up, man, hundred 1263 00:54:18,840 --> 00:54:19,840 Speaker 1: thousand in a weekend. 1264 00:54:22,640 --> 00:54:26,359 Speaker 7: So I wish you'll much successn Like, I love having 1265 00:54:26,400 --> 00:54:27,800 Speaker 7: a conversations with your. 1266 00:54:27,680 --> 00:54:28,680 Speaker 1: Shot talk all the time. 1267 00:54:28,719 --> 00:54:31,040 Speaker 7: But you know, I really do hope that y'all make 1268 00:54:32,120 --> 00:54:33,960 Speaker 7: the critics the critics and the hate is even more 1269 00:54:33,960 --> 00:54:34,520 Speaker 7: mad this year. 1270 00:54:34,640 --> 00:54:42,839 Speaker 1: I really do appreciate that instment sign of success. Whether 1271 00:54:42,880 --> 00:54:44,080 Speaker 1: you realize that. 1272 00:54:44,080 --> 00:54:47,080 Speaker 2: We got you to help us. There's only one person 1273 00:54:47,080 --> 00:54:48,440 Speaker 2: who hasn't been there in the room. 1274 00:54:48,920 --> 00:54:50,520 Speaker 6: Yes, just with the. 1275 00:54:50,520 --> 00:54:58,759 Speaker 8: Mess my friends, all of that, and I ain't I 1276 00:54:58,760 --> 00:55:00,560 Speaker 8: ain't calling me right. 1277 00:55:00,480 --> 00:55:07,680 Speaker 2: Now, all right, just about investments. 1278 00:55:09,640 --> 00:55:11,480 Speaker 6: Before, I just want to say so, if you want 1279 00:55:11,520 --> 00:55:13,520 Speaker 6: tickets invest fest dot com. There's still a couple of 1280 00:55:13,560 --> 00:55:15,960 Speaker 6: vendor booths left and it's August twenty second to August 1281 00:55:16,000 --> 00:55:18,880 Speaker 6: twenty fourth in Atlanta, Georgia. And once again, thank you guys. 1282 00:55:18,960 --> 00:55:21,160 Speaker 6: We don't take it for granted that you let you 1283 00:55:21,200 --> 00:55:23,640 Speaker 6: know a lot of times whenever we need to do something, 1284 00:55:23,640 --> 00:55:25,960 Speaker 6: you let us come up here. So we we definitely 1285 00:55:25,960 --> 00:55:28,319 Speaker 6: appreciate you guys for the platform that you've built in 1286 00:55:28,360 --> 00:55:32,320 Speaker 6: the hospitality that you've always shown us. Invests dot com. 1287 00:55:32,520 --> 00:55:35,239 Speaker 3: Get your tickets, now, earn your leisure. It's the breakfast club. 1288 00:55:35,280 --> 00:55:35,720 Speaker 3: Good morning. 1289 00:55:36,040 --> 00:55:39,600 Speaker 7: Hold every day a weak go pack your ass up 1290 00:55:39,680 --> 00:55:40,560 Speaker 7: the breakfast club. 1291 00:55:40,840 --> 00:55:42,040 Speaker 1: You don't finish for y'all done