1 00:00:01,360 --> 00:00:03,640 Speaker 1: This episode is brought to you by P and C Bank. 2 00:00:04,000 --> 00:00:06,760 Speaker 1: A lot of people think podcasts about work are boring, 3 00:00:07,000 --> 00:00:10,840 Speaker 1: and sure they definitely can be, but understanding a professionals 4 00:00:10,920 --> 00:00:14,160 Speaker 1: routine shows us how they achieve their success little by little, 5 00:00:14,560 --> 00:00:18,200 Speaker 1: day after day. It's like banking with P and C Bank. 6 00:00:18,680 --> 00:00:21,480 Speaker 1: It might seem boring to safe plan and make calculated 7 00:00:21,480 --> 00:00:24,599 Speaker 1: decisions with your bank, but keeping your money boring is 8 00:00:24,640 --> 00:00:27,960 Speaker 1: what helps you live or more happily fulfilled life. P 9 00:00:28,080 --> 00:00:32,879 Speaker 1: and C Bank Brilliantly Boring since eighteen sixty five. Brilliantly 10 00:00:32,960 --> 00:00:35,600 Speaker 1: Boring since eighteen sixty five is a service mark of 11 00:00:35,600 --> 00:00:38,840 Speaker 1: the PNC Financial Service Group, Inc. P and C Bank 12 00:00:39,280 --> 00:00:42,000 Speaker 1: National Association Member FDIC. 13 00:00:44,600 --> 00:00:45,279 Speaker 2: Erness What's Up? 14 00:00:45,360 --> 00:00:47,839 Speaker 1: You ever walk into a small business and everything just 15 00:00:47,960 --> 00:00:51,159 Speaker 1: works like the checkout is fast, the receipts are digital, 16 00:00:51,680 --> 00:00:54,640 Speaker 1: tipping is a breeze, and you're out the door before 17 00:00:54,680 --> 00:00:58,840 Speaker 1: the line even builds. Odds are they're using Square? We 18 00:00:58,960 --> 00:01:01,520 Speaker 1: love supporting business that run on Square because it just 19 00:01:01,560 --> 00:01:04,800 Speaker 1: feels seamless. Whether it's a local coffee shop, a vendor 20 00:01:04,840 --> 00:01:07,080 Speaker 1: at a pop up market, or even one of our 21 00:01:07,160 --> 00:01:10,800 Speaker 1: merch partners. Square makes it easy for them to take payments, 22 00:01:11,040 --> 00:01:14,760 Speaker 1: manage inventory, and run their business with confidence, all from 23 00:01:14,840 --> 00:01:18,240 Speaker 1: one simple system. If you're a business owner or even 24 00:01:18,360 --> 00:01:21,880 Speaker 1: just thinking about launching something soon, Square is hands down 25 00:01:21,880 --> 00:01:24,199 Speaker 1: one of the best tools out there to help you start, 26 00:01:24,600 --> 00:01:28,200 Speaker 1: run and grow. It's not just about payments, it's about 27 00:01:28,200 --> 00:01:30,640 Speaker 1: giving you time back so you can focus on. 28 00:01:30,560 --> 00:01:32,000 Speaker 2: What matters most ready. 29 00:01:32,040 --> 00:01:35,399 Speaker 1: To see how Square can transform your business, visit Square 30 00:01:35,480 --> 00:01:40,160 Speaker 1: dot com backslash, go backslash eyl to learn more. That's 31 00:01:40,200 --> 00:01:45,640 Speaker 1: Square dot com backslash, go backslash eyl. Don't wait, don't hesitate. 32 00:01:45,760 --> 00:01:48,160 Speaker 1: Let's Square handle the back end so you can keep 33 00:01:48,160 --> 00:01:49,400 Speaker 1: pushing your vision forward. 34 00:01:51,800 --> 00:01:54,800 Speaker 3: So we got a chance to turk that headquarters, and 35 00:01:54,800 --> 00:02:00,400 Speaker 3: we got a chance to tour Nvidia headquarters and very 36 00:02:00,400 --> 00:02:06,400 Speaker 3: different yeah for sure, very different cultures, very different cultures. 37 00:02:06,920 --> 00:02:09,480 Speaker 2: Work work culture, work culture. 38 00:02:09,800 --> 00:02:14,800 Speaker 3: Yes, okay, so you want the truth or you want you. 39 00:02:14,840 --> 00:02:22,840 Speaker 2: Want you Okay, nobody listening. I know what, I know 40 00:02:22,880 --> 00:02:23,400 Speaker 2: what we're doing. 41 00:02:26,400 --> 00:02:32,399 Speaker 4: Okay. It's important to be honest in life. It's over. 42 00:02:33,080 --> 00:02:33,560 Speaker 2: It's over. 43 00:02:34,160 --> 00:02:38,280 Speaker 4: It's over. It's with that plan, It's over. 44 00:02:38,360 --> 00:02:44,240 Speaker 1: It it's scary, elaborate, please because that that sounds so definitive, 45 00:02:44,280 --> 00:02:46,200 Speaker 1: but when you say it's over, you. 46 00:02:46,200 --> 00:02:50,160 Speaker 3: Mean they're working on technology that's going to replace the 47 00:02:50,280 --> 00:02:55,560 Speaker 3: human race pretty much, and it's almost done. Less than 48 00:02:55,760 --> 00:02:59,440 Speaker 3: a half of one percent of any employee in any 49 00:02:59,480 --> 00:03:03,640 Speaker 3: of these building are black people. True, less than probably 50 00:03:03,720 --> 00:03:08,800 Speaker 3: three percent of black people period are even aware or 51 00:03:08,840 --> 00:03:13,800 Speaker 3: even concerned in the least bit of what's happening. Like 52 00:03:13,880 --> 00:03:16,880 Speaker 3: I said, that's why it's like even after a while, 53 00:03:16,919 --> 00:03:19,720 Speaker 3: like you arguing with people online and you're trying to say, 54 00:03:19,840 --> 00:03:23,520 Speaker 3: like you know, it's just it's gotta be tiring. But 55 00:03:23,639 --> 00:03:27,680 Speaker 3: more important, it's embarrassing. It's actually embarrassing because when we 56 00:03:27,800 --> 00:03:31,040 Speaker 3: go there, there's five black people and everybody's like yo, 57 00:03:31,360 --> 00:03:33,000 Speaker 3: Like it's like, how did you get the key to heaven? 58 00:03:34,160 --> 00:03:37,920 Speaker 3: But it's actually embarrassing. Like I said, shout out to 59 00:03:38,000 --> 00:03:40,120 Speaker 3: Neuever Detroit. He was like, yea, yeah, I'm more concerned 60 00:03:40,160 --> 00:03:45,080 Speaker 3: with Big Big Meets's paperwork than your son's schoolwork. 61 00:03:46,200 --> 00:03:47,080 Speaker 4: And that's a fact. 62 00:03:47,360 --> 00:03:53,400 Speaker 3: Our priorities talking about who Chloe Bailey is dating and 63 00:03:53,600 --> 00:03:57,160 Speaker 3: just a bunch of random nonsense and Adam twenty two 64 00:03:57,320 --> 00:04:00,640 Speaker 3: and all of that. Like now they have life changing 65 00:04:00,720 --> 00:04:03,520 Speaker 3: technology that's being developed that we have no input on 66 00:04:03,760 --> 00:04:07,360 Speaker 3: at all. We're not aware of any of it, and 67 00:04:07,400 --> 00:04:11,720 Speaker 3: we're just going to be casualties and victims. And it's 68 00:04:11,720 --> 00:04:17,800 Speaker 3: over for America because most of the employees at these 69 00:04:17,800 --> 00:04:23,120 Speaker 3: companies are Chinese and Indian, so much so they said 70 00:04:23,200 --> 00:04:27,560 Speaker 3: that sometimes in the zoom calls, they have full zoom calls. 71 00:04:27,279 --> 00:04:29,000 Speaker 4: And Mandarin and Mandarin. 72 00:04:33,960 --> 00:04:41,719 Speaker 3: Why I don't think people understand like this is alarming, Yes, 73 00:04:42,160 --> 00:04:46,000 Speaker 3: at very high level, at a very very high level. 74 00:04:46,080 --> 00:04:50,760 Speaker 3: Like you see, America finally won the World Math Championship 75 00:04:51,080 --> 00:04:55,520 Speaker 3: for high school and every kid on the team is Chinese. 76 00:04:56,520 --> 00:04:57,920 Speaker 4: We are getting. 77 00:04:57,680 --> 00:05:04,040 Speaker 3: Dumber as a society by design, and it's alarming. And 78 00:05:04,240 --> 00:05:08,800 Speaker 3: China has a plan in place to take over the world. 79 00:05:08,960 --> 00:05:11,320 Speaker 3: You know, I'm with a lot of smart people these days, 80 00:05:11,480 --> 00:05:13,800 Speaker 3: and I'm getting I'm getting a lot of information. I'm 81 00:05:13,839 --> 00:05:17,960 Speaker 3: learning things, and you know, China, the CCP has a 82 00:05:18,000 --> 00:05:23,520 Speaker 3: whole propaganda campaign called spamouflage. So you know, I just 83 00:05:23,560 --> 00:05:25,520 Speaker 3: realized it today because when I go on Instagram, I 84 00:05:25,560 --> 00:05:28,520 Speaker 3: just see all these positive Chinese posts. It's like China 85 00:05:28,560 --> 00:05:31,880 Speaker 3: build thirty seven hospitals, China like. But then I started 86 00:05:31,880 --> 00:05:33,719 Speaker 3: to get the information, like China got a lot of 87 00:05:33,760 --> 00:05:37,719 Speaker 3: internal problems, the negative birth rate, the economy is pretty 88 00:05:37,760 --> 00:05:40,240 Speaker 3: much on eggshells. But you never had any of this stuff, 89 00:05:40,279 --> 00:05:42,520 Speaker 3: like all of this stuff on meta. So what China 90 00:05:42,600 --> 00:05:45,599 Speaker 3: is doing is that they're actually funding the dysfunction in America. 91 00:05:45,760 --> 00:05:47,960 Speaker 3: So you see people like Margie what's her name, Margie 92 00:05:48,279 --> 00:05:51,320 Speaker 3: the Senator, the green Margie Green. How does she get 93 00:05:51,360 --> 00:05:53,680 Speaker 3: a million followers if you don't really think about that, Like, 94 00:05:53,720 --> 00:05:56,160 Speaker 3: no politician really has that many followers, like they got 95 00:05:56,160 --> 00:06:02,360 Speaker 3: all these They're promoting dysfunction in America. That's why they 96 00:06:02,400 --> 00:06:04,520 Speaker 3: really wanted Trump to win. They're promoting this function in 97 00:06:04,520 --> 00:06:07,080 Speaker 3: America because they understand that that we're just tearing up 98 00:06:07,080 --> 00:06:11,560 Speaker 3: our society. But on meta, if you look at like Instagram, 99 00:06:11,560 --> 00:06:14,799 Speaker 3: you're only going gonna see positive Chinese posts. It's like 100 00:06:14,800 --> 00:06:16,400 Speaker 3: like you go to wealth Page and all that, it's like, oh, 101 00:06:16,480 --> 00:06:18,680 Speaker 3: China just built this railroad, China just did this. It's 102 00:06:18,800 --> 00:06:22,600 Speaker 3: positive propaganda that they're pushing to enhance their world's perception. 103 00:06:23,839 --> 00:06:25,880 Speaker 3: The crazy thing about that is that meta is not 104 00:06:25,920 --> 00:06:31,560 Speaker 3: even allowed in China. How you take over a US app? 105 00:06:31,600 --> 00:06:34,279 Speaker 3: They pretty much they took over a US app shape 106 00:06:34,400 --> 00:06:36,960 Speaker 3: to shape the narrative. For their country to create this 107 00:06:37,000 --> 00:06:40,440 Speaker 3: function in our country, the app's not even allowed inside 108 00:06:40,440 --> 00:06:44,880 Speaker 3: of their country. Be honest with you, it's getting to 109 00:06:44,920 --> 00:06:48,359 Speaker 3: a point where it's going to be so far, the 110 00:06:48,440 --> 00:06:50,800 Speaker 3: gap is going to be so wide you're not gonna 111 00:06:50,800 --> 00:06:52,680 Speaker 3: be able to catch up. And by the time you 112 00:06:52,760 --> 00:06:54,440 Speaker 3: realize that you're not gonna be able to catch up, 113 00:06:54,480 --> 00:06:56,240 Speaker 3: it's over. The game is over with. It's over with. 114 00:06:56,600 --> 00:06:58,760 Speaker 3: And when I say like the game is over with, 115 00:06:59,040 --> 00:07:03,919 Speaker 3: like it's the game is over like it's over lights out, 116 00:07:04,160 --> 00:07:08,039 Speaker 3: permanent underclass a permanent Like that's what I'm saying. It's like, 117 00:07:08,279 --> 00:07:10,360 Speaker 3: we gotta take this a little bit more serious. The 118 00:07:10,480 --> 00:07:12,720 Speaker 3: things that we're concerned about are not important at all. 119 00:07:12,840 --> 00:07:16,200 Speaker 3: That's why like this year invest FST artificial intelligence is 120 00:07:16,240 --> 00:07:21,880 Speaker 3: a main theme. We're gonna have like six workshops to teach, like. 121 00:07:20,720 --> 00:07:22,880 Speaker 4: Like we fund, We're gonna detect. 122 00:07:23,160 --> 00:07:25,040 Speaker 3: Technology is the most important thing that we need to 123 00:07:25,040 --> 00:07:29,760 Speaker 3: be focused on right now. All everything else is a distraction. Technology, entrepreneurship, 124 00:07:29,760 --> 00:07:32,560 Speaker 3: and investing. If those are the three most important things 125 00:07:32,600 --> 00:07:38,280 Speaker 3: right now China is they're teaching artificial intelligence in primary 126 00:07:38,280 --> 00:07:43,600 Speaker 3: school when New York State is banning chat GBT we're 127 00:07:43,640 --> 00:07:47,280 Speaker 3: moving to the exact opposite direction. They're teaching fifth graders 128 00:07:47,280 --> 00:07:50,800 Speaker 3: and third graders artificial intelligence. You can go through a 129 00:07:50,840 --> 00:07:54,280 Speaker 3: whole master's program and never learned artificial intelligence in America 130 00:07:54,320 --> 00:07:54,680 Speaker 3: at all. 131 00:07:55,160 --> 00:07:59,400 Speaker 1: So they just and we were speaking to is the 132 00:07:59,520 --> 00:08:05,320 Speaker 1: HBC you that just got artificial intelligence as a bachelor's degree. 133 00:08:05,480 --> 00:08:09,880 Speaker 1: It's the first one. Yeah, Like we always talk. Obviously, 134 00:08:09,920 --> 00:08:12,080 Speaker 1: people look at us and they think wealth gap, wealth gap. 135 00:08:12,640 --> 00:08:16,680 Speaker 1: Now this is the information gap and the technological gap. 136 00:08:16,760 --> 00:08:19,760 Speaker 1: That is there is no coming back from that, right, 137 00:08:19,800 --> 00:08:23,400 Speaker 1: And yes, it's cool that we invest great, but we 138 00:08:23,480 --> 00:08:26,600 Speaker 1: need people inside, Like we need people who are gonna 139 00:08:26,600 --> 00:08:29,400 Speaker 1: have large language models, who are gonna create them. We're 140 00:08:29,400 --> 00:08:32,840 Speaker 1: gonna need a robotics engineer. We're gonna need a humanoid engineer. 141 00:08:32,880 --> 00:08:35,800 Speaker 1: We're gonna need a synthetic biology. We need people in 142 00:08:35,840 --> 00:08:38,920 Speaker 1: these spaces because if it is created without us, there 143 00:08:39,000 --> 00:08:42,280 Speaker 1: is no imprint from us. Like and that's the serieness 144 00:08:42,280 --> 00:08:44,080 Speaker 1: of it. Like when we talk to Robert Smith, it's 145 00:08:44,080 --> 00:08:46,440 Speaker 1: the same thing. If we're not part of the process 146 00:08:46,440 --> 00:08:50,160 Speaker 1: in creating, we're left out straight up, and that can't 147 00:08:50,240 --> 00:08:51,440 Speaker 1: that's not gonna get reversed. 148 00:08:52,880 --> 00:08:58,040 Speaker 5: And from a legal standpoint, if I am a company 149 00:08:58,480 --> 00:09:03,160 Speaker 5: and our third party life since robots for autonomous vehicles 150 00:09:03,240 --> 00:09:07,960 Speaker 5: and factory jobs, who do you see in terms of discrimination? 151 00:09:08,160 --> 00:09:12,760 Speaker 5: If I'm leasing said robots from a third party vendor 152 00:09:12,760 --> 00:09:14,679 Speaker 5: because they're not my robots, because I don't have the 153 00:09:14,760 --> 00:09:18,040 Speaker 5: tech to actually run it, just the software to update them, 154 00:09:18,600 --> 00:09:20,920 Speaker 5: you won't even be able to have the same litigation 155 00:09:21,040 --> 00:09:24,520 Speaker 5: process you think this is being I told you in 156 00:09:24,640 --> 00:09:27,160 Speaker 5: the beginning, AI is going to be used as a 157 00:09:27,240 --> 00:09:30,880 Speaker 5: way to create a gap so wide that we will 158 00:09:30,920 --> 00:09:34,320 Speaker 5: never be able to recover. And another thing to gauge 159 00:09:34,800 --> 00:09:39,120 Speaker 5: is the enthusiasm of the corporations to deploy it for 160 00:09:39,160 --> 00:09:42,600 Speaker 5: that reason. I'm not telling you what I think. 161 00:09:42,640 --> 00:09:44,479 Speaker 2: I'm telling you what I saw. 162 00:09:46,920 --> 00:09:50,840 Speaker 1: AI validation, reinforcement learning. We talked to you about data 163 00:09:50,840 --> 00:09:53,400 Speaker 1: centers WIN that METAD Like yo. I was telling the 164 00:09:53,400 --> 00:09:55,199 Speaker 1: people in the class that you got you know, market 165 00:09:55,200 --> 00:09:58,240 Speaker 1: money is that you got thirty thirty two data centers. 166 00:09:58,240 --> 00:10:01,200 Speaker 1: They're like, oh yeah, I'm like, but nobody's ever saying 167 00:10:01,200 --> 00:10:04,120 Speaker 1: He's like, you know, we've been building I said, that's interesting. 168 00:10:04,720 --> 00:10:06,559 Speaker 1: The most interesting part is like look at where they're 169 00:10:06,600 --> 00:10:09,800 Speaker 1: being built. Look at the states that they're being built in. Yeah, 170 00:10:10,600 --> 00:10:13,880 Speaker 1: they all have the same color, all have the same color, 171 00:10:13,920 --> 00:10:17,920 Speaker 1: and they're using energy efficient ways, they're using local electricity, 172 00:10:18,320 --> 00:10:21,160 Speaker 1: but they're given incentives to those places like we gotta 173 00:10:22,200 --> 00:10:23,280 Speaker 1: we gotta participate. 174 00:10:23,960 --> 00:10:29,520 Speaker 2: We this is like we got all that ten year 175 00:10:29,600 --> 00:10:30,320 Speaker 2: projection ship. 176 00:10:30,880 --> 00:10:32,959 Speaker 1: They answers this question like, you know, let's just be 177 00:10:33,000 --> 00:10:34,880 Speaker 1: one hundred percent honest. They ask us the question and 178 00:10:34,920 --> 00:10:36,199 Speaker 1: they kind of knew the answer. They're like, what do 179 00:10:36,240 --> 00:10:38,120 Speaker 1: you see AI in the next ten years. We all 180 00:10:38,120 --> 00:10:40,000 Speaker 1: gave an answer when we were on the panel and 181 00:10:40,040 --> 00:10:41,400 Speaker 1: shout out to Lewis. He was just like, i'ma be 182 00:10:41,400 --> 00:10:45,559 Speaker 1: honest with you. It's not ten years, it's two two years. 183 00:10:46,240 --> 00:10:49,280 Speaker 2: Must move faster two years, bro. 184 00:10:51,600 --> 00:10:58,000 Speaker 3: Yep, yo, it's a it's it's not an alarmist, not 185 00:10:58,040 --> 00:10:59,160 Speaker 3: being an alarmist. 186 00:10:59,520 --> 00:11:03,240 Speaker 5: This is this is we're not being sensational. This is factual, 187 00:11:03,360 --> 00:11:05,760 Speaker 5: data driven insight. 188 00:11:06,480 --> 00:11:09,440 Speaker 1: Who just put that somebody said it's changing by the hour. 189 00:11:09,520 --> 00:11:11,440 Speaker 1: I'm like, yeah, so think about that. A college is 190 00:11:11,520 --> 00:11:16,920 Speaker 1: just now offering a four year degree for artificial intelligence, right, 191 00:11:17,760 --> 00:11:19,720 Speaker 1: I said, in two days things could change. 192 00:11:19,760 --> 00:11:20,720 Speaker 2: I can't wait four. 193 00:11:20,600 --> 00:11:23,600 Speaker 1: Years to get a degree to now practice it ain't 194 00:11:23,640 --> 00:11:25,880 Speaker 1: gonna be a degree. It's gonna have to be a certification, 195 00:11:25,920 --> 00:11:27,360 Speaker 1: and we're gonna have to learn on the job. 196 00:11:27,960 --> 00:11:29,280 Speaker 2: I can't wait four years. Bro. 197 00:11:30,520 --> 00:11:32,120 Speaker 3: There's two things that you gotta do. You gotta get 198 00:11:32,120 --> 00:11:34,480 Speaker 3: your money, because let's be honest, people with money's gonna be. 199 00:11:34,559 --> 00:11:35,280 Speaker 4: They're gonna be good. 200 00:11:35,400 --> 00:11:36,120 Speaker 2: You're gonna be fine. 201 00:11:36,440 --> 00:11:38,120 Speaker 3: If you got money, you're gonna be good. That's why 202 00:11:38,120 --> 00:11:40,280 Speaker 3: you got learn this entrepreneurship. You gotta learn this investing. 203 00:11:40,360 --> 00:11:42,440 Speaker 3: If you have money, you'll you'll be able to be okay. 204 00:11:43,400 --> 00:11:45,240 Speaker 3: If you don't have money, you gotta learn the skill set. 205 00:11:45,280 --> 00:11:47,600 Speaker 3: And you gotta learn tech. If you don't have money 206 00:11:47,800 --> 00:11:52,560 Speaker 3: and don't know tech and serve for with it's old 207 00:11:53,520 --> 00:11:55,000 Speaker 3: sold unfortunately. 208 00:11:58,280 --> 00:11:59,880 Speaker 4: Okay, I'm sorry to scary you. 209 00:12:00,160 --> 00:12:04,560 Speaker 2: Oh here's a good news. No, it's real. It's real. 210 00:12:04,720 --> 00:12:06,640 Speaker 1: I wish I could like sugarcoat it, but it's real. 211 00:12:07,120 --> 00:12:11,800 Speaker 1: And being in that space and I got we got 212 00:12:11,800 --> 00:12:13,079 Speaker 1: to you know what, even though there was a few 213 00:12:13,120 --> 00:12:16,240 Speaker 1: of us, I want to shout out those people for sure. 214 00:12:16,360 --> 00:12:16,959 Speaker 2: Shout to our. 215 00:12:16,920 --> 00:12:19,280 Speaker 1: Brothers from super Micro that came over and talked to us, 216 00:12:19,520 --> 00:12:22,000 Speaker 1: because when they saw us, it was a reflection of 217 00:12:22,040 --> 00:12:24,200 Speaker 1: the community in the sense where like people actually care 218 00:12:24,240 --> 00:12:26,920 Speaker 1: about what they've been doing for the past twenty five years. 219 00:12:27,559 --> 00:12:29,160 Speaker 2: Because some of these people have been working in tech. 220 00:12:30,120 --> 00:12:31,120 Speaker 2: Shout to our earners. 221 00:12:31,480 --> 00:12:33,760 Speaker 1: People have been working in tech for twenty thirty, forty years, 222 00:12:33,800 --> 00:12:35,959 Speaker 1: and they're like they've been trying to tell the community, 223 00:12:36,000 --> 00:12:38,840 Speaker 1: like this is happening, here's what's coming, and every chance 224 00:12:38,880 --> 00:12:42,679 Speaker 1: they missing, nobody listens. And they were thankful that there's 225 00:12:42,679 --> 00:12:45,320 Speaker 1: a platform now, So kudos to us and everybody that 226 00:12:45,360 --> 00:12:47,400 Speaker 1: files and that is doing their part inside the space, 227 00:12:47,840 --> 00:12:51,120 Speaker 1: but to give a voice to what's actually happening and 228 00:12:51,120 --> 00:12:53,640 Speaker 1: how important this is and how important the work is, 229 00:12:53,679 --> 00:12:56,880 Speaker 1: and how we need more people because it's lonely. It's 230 00:12:56,880 --> 00:12:59,360 Speaker 1: lonely in there right like like we're walking in that 231 00:12:59,400 --> 00:13:02,120 Speaker 1: building obously with visiting and we're gonna come back and 232 00:13:02,160 --> 00:13:04,199 Speaker 1: report what we saw, but they gotta go to work 233 00:13:04,240 --> 00:13:10,319 Speaker 1: there tomorrow and they've been there for years and yeah, yeah, yeah, 234 00:13:10,400 --> 00:13:10,880 Speaker 1: it's real. 235 00:13:11,800 --> 00:13:14,079 Speaker 2: Shout out to them. Keep going. We need y'all, We 236 00:13:14,160 --> 00:13:16,680 Speaker 2: need y'all, We need y'all to do that. Keep going. 237 00:13:16,760 --> 00:13:18,439 Speaker 3: For everybody that's saying where to start, I mean I 238 00:13:18,480 --> 00:13:20,280 Speaker 3: would say the best place to start is the video 239 00:13:20,320 --> 00:13:22,600 Speaker 3: that we did with x That's that's a two hour 240 00:13:22,720 --> 00:13:27,319 Speaker 3: video from at the beginning level to pretty high level 241 00:13:27,320 --> 00:13:29,120 Speaker 3: of learning the prompting and stuff like that. 242 00:13:29,200 --> 00:13:30,199 Speaker 4: So I mean start there. 243 00:13:30,320 --> 00:13:33,080 Speaker 2: But they said she was incredible. 244 00:13:33,120 --> 00:13:36,199 Speaker 1: We went to that video like that video was incredible, of. 245 00:13:36,160 --> 00:13:38,240 Speaker 4: Course, and that's she tore it down last year. 246 00:13:38,400 --> 00:13:41,760 Speaker 3: But teach your kids how to prop at the very 247 00:13:41,800 --> 00:13:43,880 Speaker 3: like just little stuff like teach them how to use chatgy, 248 00:13:44,000 --> 00:13:46,400 Speaker 3: teach them how to prompt teach them about different things 249 00:13:46,440 --> 00:13:48,160 Speaker 3: like just get them in the in the flow of 250 00:13:48,200 --> 00:13:51,640 Speaker 3: it overnight. But yeah, you got it. You can't hide 251 00:13:51,640 --> 00:13:55,640 Speaker 3: it from then in chat bend, in chat GBT is 252 00:13:55,679 --> 00:13:59,439 Speaker 3: like banning calculator makes no sense. It makes no sense, 253 00:13:59,600 --> 00:14:02,520 Speaker 3: Like why are you trying to hide something that is inevitable? 254 00:14:03,200 --> 00:14:07,400 Speaker 2: Get them involved. 255 00:14:05,960 --> 00:14:09,480 Speaker 5: AI what microsoftware was to the PC market, but probably 256 00:14:09,520 --> 00:14:16,679 Speaker 5: twenty times bigger. I can't even extrapolate how. And I'm 257 00:14:16,720 --> 00:14:18,480 Speaker 5: going to be very honest, and I said this on 258 00:14:18,520 --> 00:14:20,120 Speaker 5: stage and not just because I was there. 259 00:14:21,160 --> 00:14:21,880 Speaker 2: And Vidia is. 260 00:14:21,880 --> 00:14:27,000 Speaker 5: Probably the only company who if you remember the depression 261 00:14:27,040 --> 00:14:32,800 Speaker 5: crash when James Pirpop Morgan bailed out America, literally the 262 00:14:32,960 --> 00:14:36,240 Speaker 5: Nvidia AI wave bailed us out from a crash that 263 00:14:36,280 --> 00:14:42,080 Speaker 5: we were supposed to have. They are the VC and 264 00:14:42,320 --> 00:14:45,520 Speaker 5: angel that is deploying the code. So think about this, 265 00:14:45,600 --> 00:14:48,960 Speaker 5: like their value that trillions of dollars, but everyone is 266 00:14:49,000 --> 00:14:52,960 Speaker 5: relied on them for their market valuation and for the 267 00:14:53,080 --> 00:14:57,200 Speaker 5: software to deploy an all tech in the United States 268 00:14:57,240 --> 00:14:57,840 Speaker 5: of America. 269 00:14:58,600 --> 00:15:06,240 Speaker 2: And Saudi who broke that big chuck. Yeah, I'm gonna 270 00:15:06,240 --> 00:15:10,320 Speaker 2: put a list of things that they should be looking at. 271 00:15:10,120 --> 00:15:14,120 Speaker 1: I wrote this list of careers inside of AI yep, 272 00:15:14,160 --> 00:15:15,280 Speaker 1: so I'll put it up. 273 00:15:16,240 --> 00:15:17,880 Speaker 3: And it's tough for anythingople tougher to get a job 274 00:15:17,920 --> 00:15:18,760 Speaker 3: now once Trump came. 275 00:15:18,880 --> 00:15:19,720 Speaker 2: Let me see with that. 276 00:15:19,680 --> 00:15:21,560 Speaker 3: Whole because the thing about the d I, that's one 277 00:15:21,560 --> 00:15:22,960 Speaker 3: of the thing they were like, yo, d I. No 278 00:15:23,000 --> 00:15:25,200 Speaker 3: black people really benefited from d I anyway. It's not 279 00:15:25,200 --> 00:15:27,320 Speaker 3: even just the fact like people not even they scared 280 00:15:27,360 --> 00:15:29,840 Speaker 3: to even talk to a black person because they feel like, 281 00:15:29,840 --> 00:15:32,840 Speaker 3: if I hire a black person, period, it's. 282 00:15:32,760 --> 00:15:34,880 Speaker 4: Gonna look like d I is gonna look like. 283 00:15:35,320 --> 00:15:39,600 Speaker 3: So their focus is to go as far as way 284 00:15:40,360 --> 00:15:44,880 Speaker 3: from black people as possible because there's pressure, there's legal 285 00:15:44,920 --> 00:15:46,920 Speaker 3: pressure that legal That d I thing is real. You 286 00:15:46,920 --> 00:15:49,400 Speaker 3: see Columbia University just cave in once they put four 287 00:15:49,440 --> 00:15:51,200 Speaker 3: hundred million on the table. Government said we're gonna take 288 00:15:51,200 --> 00:15:54,840 Speaker 3: four hundred Government said we're gonna take four hundred million 289 00:15:54,880 --> 00:15:58,360 Speaker 3: dollars away from Columbia University if you don't. They waited 290 00:15:58,400 --> 00:16:00,200 Speaker 3: till the kids go and break. The kids on break 291 00:16:00,280 --> 00:16:03,040 Speaker 3: this week and they announced their new policies. They cave in. 292 00:16:03,520 --> 00:16:07,200 Speaker 3: But nobody's trying to lose money. Nobody's trying to go 293 00:16:07,240 --> 00:16:09,320 Speaker 3: to war with the government like this, there is some 294 00:16:09,400 --> 00:16:12,240 Speaker 3: real effects of the situation. There was already not trying 295 00:16:12,280 --> 00:16:15,800 Speaker 3: to look in that direction anyway. Now they're not even 296 00:16:15,960 --> 00:16:20,880 Speaker 3: thinking about going to Howard University or Park Atlanta. 297 00:16:21,400 --> 00:16:25,080 Speaker 5: Was just speaking negatively on Howard versus Harvard this past weekend, 298 00:16:25,720 --> 00:16:29,760 Speaker 5: Peter till what he said that it's a quote unquote 299 00:16:29,800 --> 00:16:34,120 Speaker 5: paraphrase and it's an inferior college in comparison, and a 300 00:16:34,200 --> 00:16:36,800 Speaker 5: person should run the country if they went to Howard 301 00:16:36,880 --> 00:16:38,640 Speaker 5: taking shots at. 302 00:16:38,520 --> 00:16:41,760 Speaker 3: Quin Kamala, Yo, they're not even thinking about they're not 303 00:16:41,800 --> 00:16:44,520 Speaker 3: even thinking about it. And it's no apologies. You know, 304 00:16:44,560 --> 00:16:46,240 Speaker 3: they had to at least through the dog and pony 305 00:16:46,280 --> 00:16:48,640 Speaker 3: show show up. Now they're like what he were telling people. 306 00:16:48,640 --> 00:16:51,040 Speaker 3: They're like, well, well, no, why, like why would we 307 00:16:51,040 --> 00:16:53,720 Speaker 3: go there? They like the black people telling them, people 308 00:16:53,880 --> 00:16:55,520 Speaker 3: like now you got to go there because there's talent. 309 00:16:55,560 --> 00:16:58,360 Speaker 4: They're like, no, why would we go there? There's no point, Like. 310 00:16:58,360 --> 00:17:01,080 Speaker 2: What's the point, what's on what's the audience there. 311 00:17:01,120 --> 00:17:03,960 Speaker 3: But the tricky part about it is that, see, it's 312 00:17:03,960 --> 00:17:06,560 Speaker 3: a dominant effect that affects everybody. There's no white people 313 00:17:06,600 --> 00:17:10,280 Speaker 3: there either. That's the thing, Like, you cut your nose 314 00:17:10,320 --> 00:17:14,360 Speaker 3: trying to spie, what is it you spite your face. 315 00:17:14,000 --> 00:17:16,639 Speaker 3: You're doing all of this to try to further the 316 00:17:16,680 --> 00:17:20,320 Speaker 3: gap of black people. You're hurting yourself because there's no 317 00:17:20,359 --> 00:17:25,119 Speaker 3: white people there either. America is in trouble when they 318 00:17:25,160 --> 00:17:26,680 Speaker 3: haven't zoom calls and Mandarin. 319 00:17:27,600 --> 00:17:28,520 Speaker 4: Yes, that's a problem. 320 00:17:28,600 --> 00:17:31,960 Speaker 2: Don't show up for a company. Don't show up later 321 00:17:32,080 --> 00:17:33,600 Speaker 2: the meeting. You might miss everything. 322 00:17:35,600 --> 00:17:39,399 Speaker 5: And Red in Real Estate was bad man, Red Lighter 323 00:17:39,400 --> 00:17:41,280 Speaker 5: and AI is probably one hundred times worse. 324 00:17:41,600 --> 00:17:42,120 Speaker 2: No, it's real. 325 00:17:42,240 --> 00:17:44,680 Speaker 1: We sat I mean we sat there and watched what 326 00:17:45,080 --> 00:17:47,280 Speaker 1: appeared to be like field trips, and I'm just like, 327 00:17:47,720 --> 00:17:49,800 Speaker 1: this is crazy. We're still taking kids to the Bronze Oho. 328 00:17:50,560 --> 00:17:56,439 Speaker 1: These dudes are toy and video and me yeah shout 329 00:17:56,440 --> 00:17:57,600 Speaker 1: to an. 330 00:17:57,440 --> 00:18:02,000 Speaker 6: Illegal alien from Guatemala charged with raping a child in Massachusetts. 331 00:18:02,280 --> 00:18:05,679 Speaker 6: An MS thirteen gang member from Al Salvador accused of 332 00:18:05,800 --> 00:18:09,760 Speaker 6: murdering a Texas man of Venezuelan charged with filming and 333 00:18:09,880 --> 00:18:13,720 Speaker 6: selling child pornography in Michigan. These are just some of 334 00:18:13,760 --> 00:18:17,439 Speaker 6: the heinous migrant criminals caught because of President Donald J. 335 00:18:17,520 --> 00:18:21,320 Speaker 6: Trump's leadership. I'm Christy nom the United States Secretary of 336 00:18:21,359 --> 00:18:26,160 Speaker 6: Homeland Security. Under President Trump, attempted illegal border crossings are 337 00:18:26,200 --> 00:18:29,560 Speaker 6: at the lowest levels ever recorded, and over one hundred 338 00:18:29,600 --> 00:18:33,480 Speaker 6: thousand illegal aliens have been arrested. If you are here illegally, 339 00:18:34,000 --> 00:18:37,280 Speaker 6: your next you will be fined nearly one thousand dollars 340 00:18:37,359 --> 00:18:41,480 Speaker 6: a day, imprisoned, and deported. You will never return. But 341 00:18:41,560 --> 00:18:45,119 Speaker 6: if you register using our CBP home app and leave now, 342 00:18:45,480 --> 00:18:48,560 Speaker 6: you could be allowed to return legally. Do what's right. 343 00:18:49,160 --> 00:18:54,119 Speaker 6: Leave now. Under President Trump, America's laws, border and families 344 00:18:54,280 --> 00:18:55,120 Speaker 6: will be protected. 345 00:18:55,200 --> 00:18:57,320 Speaker 2: Sponsored by the United States Department of Homeland Security,