1 00:00:00,040 --> 00:00:03,600 Speaker 1: An illegal alien from Guatemala charged with raping a child 2 00:00:03,680 --> 00:00:07,480 Speaker 1: in Massachusetts. An MS thirteen gang member from Al Salvador 3 00:00:07,720 --> 00:00:11,840 Speaker 1: accused of murdering a Texas man of Venezuelan charged with 4 00:00:11,920 --> 00:00:15,840 Speaker 1: filming and selling child pornography in Michigan. These are just 5 00:00:15,920 --> 00:00:19,680 Speaker 1: some of the heinous migrant criminals caught because of President 6 00:00:19,720 --> 00:00:23,320 Speaker 1: Donald J. Trump's leadership. I'm Christy nom the United States 7 00:00:23,320 --> 00:00:28,120 Speaker 1: Secretary of Homeland Security. Under President Trump, attempted illegal border 8 00:00:28,160 --> 00:00:31,680 Speaker 1: crossings are at the lowest levels ever recorded, and over 9 00:00:31,760 --> 00:00:34,960 Speaker 1: one hundred thousand illegal aliens have been arrested. If you 10 00:00:35,040 --> 00:00:38,920 Speaker 1: are here illegally, your next you will be fined nearly 11 00:00:39,000 --> 00:00:43,000 Speaker 1: one thousand dollars a day, imprisoned, and deported. You will 12 00:00:43,040 --> 00:00:46,680 Speaker 1: never return. But if you register using our CBP home 13 00:00:46,720 --> 00:00:50,120 Speaker 1: app and leave now, you could be allowed to return legally. 14 00:00:50,479 --> 00:00:55,240 Speaker 1: Do what's right. Leave now. Under President Trump, America's laws, 15 00:00:55,400 --> 00:00:57,840 Speaker 1: border and families will be protected. 16 00:00:57,920 --> 00:01:00,000 Speaker 2: Sponsored by the United States Department of Homeland Security. 17 00:01:00,200 --> 00:01:04,160 Speaker 3: What's three ways you're using AI to be more efficient 18 00:01:04,600 --> 00:01:06,360 Speaker 3: in business in life? 19 00:01:07,600 --> 00:01:12,400 Speaker 4: Number one, I've been training all of my employees to 20 00:01:12,480 --> 00:01:17,040 Speaker 4: learn how to become great prompt managers of AI. Right 21 00:01:17,319 --> 00:01:21,520 Speaker 4: because I don't want to rely on their intelligence at all. Right, 22 00:01:21,560 --> 00:01:25,680 Speaker 4: So if I say, hey, I want a set of 23 00:01:25,800 --> 00:01:28,640 Speaker 4: emails that's going to be sent out for the high 24 00:01:28,680 --> 00:01:31,959 Speaker 4: level tour, and I need them to be intellectual and 25 00:01:32,040 --> 00:01:36,280 Speaker 4: make people question reality, Right, then I need you to 26 00:01:36,319 --> 00:01:39,360 Speaker 4: be able to go in to chat GPT and create 27 00:01:39,360 --> 00:01:41,839 Speaker 4: a prompt that's going to get you the right set 28 00:01:41,880 --> 00:01:44,440 Speaker 4: of replies so that you can then make that email. 29 00:01:44,680 --> 00:01:47,480 Speaker 4: Decreases the time you're going to have to spend right 30 00:01:47,640 --> 00:01:50,880 Speaker 4: on creating that email. But also you now get to 31 00:01:50,920 --> 00:01:53,760 Speaker 4: generate more ideas which allow us to be more effective 32 00:01:53,760 --> 00:01:55,560 Speaker 4: because I don't have to higher ten more people. So 33 00:01:55,600 --> 00:01:57,520 Speaker 4: now one person can do the job of ten people 34 00:01:57,600 --> 00:02:01,760 Speaker 4: or possibly one hundred people. Right, business training people to 35 00:02:01,960 --> 00:02:04,960 Speaker 4: use the AI is more important. Right, So if we 36 00:02:05,040 --> 00:02:07,120 Speaker 4: go through the different list of AI, say, okay, I 37 00:02:07,200 --> 00:02:11,520 Speaker 4: need I need you to be efficient in this AI management, Right, 38 00:02:11,560 --> 00:02:13,600 Speaker 4: So I need you to manage this tool. And that's 39 00:02:13,600 --> 00:02:17,240 Speaker 4: a more important way to manage employees. Right now saying that, okay, 40 00:02:17,280 --> 00:02:20,320 Speaker 4: who's efficient in AI? Because now I either depend on 41 00:02:20,320 --> 00:02:23,840 Speaker 4: your greeds or your experiences, right, I need you number 42 00:02:23,840 --> 00:02:25,880 Speaker 4: one to understand the culture of the business. And then 43 00:02:25,960 --> 00:02:27,919 Speaker 4: Number two, I need you to be efficient in these 44 00:02:27,919 --> 00:02:30,840 Speaker 4: new technologies. Right. If you can't do that, then I 45 00:02:30,880 --> 00:02:33,799 Speaker 4: don't need you at all. I'll find somebody else. Right. 46 00:02:33,840 --> 00:02:37,000 Speaker 4: So for me, that has allowed me to put a 47 00:02:37,040 --> 00:02:40,360 Speaker 4: certain standard on my employees to say we need certain 48 00:02:40,360 --> 00:02:42,840 Speaker 4: efficiency and if you don't know this, then you're outdated. 49 00:02:42,880 --> 00:02:43,720 Speaker 4: You're the old problem. 50 00:02:44,080 --> 00:02:46,919 Speaker 3: Well are you expecting out of them as a result 51 00:02:46,960 --> 00:02:47,440 Speaker 3: of using it? 52 00:02:48,960 --> 00:02:53,200 Speaker 4: Efficiency in effectiveness? I need them to have greater output. 53 00:02:53,240 --> 00:02:55,640 Speaker 4: I need what you could do when when you say 54 00:02:55,680 --> 00:02:59,520 Speaker 4: that you know I can only do ten emails a day, 55 00:02:59,520 --> 00:03:01,600 Speaker 4: you should be able to say, you know, you should 56 00:03:01,600 --> 00:03:05,360 Speaker 4: be able to get one hundred done. Right. Then you 57 00:03:05,400 --> 00:03:08,240 Speaker 4: should be able to figure out different marketing ways that 58 00:03:08,280 --> 00:03:10,560 Speaker 4: you can add on to the business as well, because 59 00:03:10,560 --> 00:03:13,040 Speaker 4: they have ais where you can go in there and 60 00:03:13,080 --> 00:03:15,240 Speaker 4: it can generate ideas for you. So you should come 61 00:03:15,280 --> 00:03:17,680 Speaker 4: to me with ideas and say, yo, this is what 62 00:03:17,680 --> 00:03:19,760 Speaker 4: we're missing. This is what allows us to be able 63 00:03:19,840 --> 00:03:22,400 Speaker 4: to be a more complete and round business. So I 64 00:03:22,440 --> 00:03:25,680 Speaker 4: don't want people that need to be told what to do, 65 00:03:25,720 --> 00:03:27,040 Speaker 4: because those are the jobs that is going to be 66 00:03:27,080 --> 00:03:30,720 Speaker 4: replaced the fastest. I need people who can critically think right, 67 00:03:30,840 --> 00:03:33,280 Speaker 4: during this time right now. You know, let's say if 68 00:03:33,280 --> 00:03:36,520 Speaker 4: we getting scholars or responses with people that want to 69 00:03:36,560 --> 00:03:39,160 Speaker 4: sponsor the episode, and I say a person say, well, 70 00:03:39,200 --> 00:03:42,120 Speaker 4: I never put together that type of letter. I don't 71 00:03:42,120 --> 00:03:43,760 Speaker 4: need that from you. I need you to go to 72 00:03:43,880 --> 00:03:46,680 Speaker 4: AI and I need you to train yourself on how 73 00:03:46,720 --> 00:03:49,280 Speaker 4: to get AI to put together this type of letter. 74 00:03:49,320 --> 00:03:52,320 Speaker 4: What is the format? Right? And then have it senquisted. 75 00:03:52,440 --> 00:03:55,119 Speaker 4: So now I feel like I can give orders that's 76 00:03:55,160 --> 00:03:57,520 Speaker 4: beyond people's skill level as long as they can manage 77 00:03:57,520 --> 00:04:00,640 Speaker 4: the AI to get the work done right. So now 78 00:04:01,280 --> 00:04:04,440 Speaker 4: now the workforce gets to become whatever I need them 79 00:04:04,480 --> 00:04:07,560 Speaker 4: to do. Versus Okay, you do this specific task, you 80 00:04:07,640 --> 00:04:12,800 Speaker 4: do this task. No, everybody's lebron Now I don't have no. 81 00:04:12,920 --> 00:04:14,960 Speaker 4: I don't have no, I don't have no no, No, 82 00:04:14,960 --> 00:04:20,039 Speaker 4: no bench players, everybody's starters, everybody's the star. Everybody does 83 00:04:20,279 --> 00:04:24,120 Speaker 4: everybody's job right. That's how they do in the Marines 84 00:04:24,160 --> 00:04:25,839 Speaker 4: and things of that nature. When you have the top 85 00:04:25,880 --> 00:04:28,880 Speaker 4: tier teams. Every case one man falls down, the next 86 00:04:28,920 --> 00:04:31,159 Speaker 4: person knows how to do the next person job. So 87 00:04:31,279 --> 00:04:33,200 Speaker 4: I don't take no for announcing no more. Because we 88 00:04:33,279 --> 00:04:35,840 Speaker 4: got an AI. You understand, me, and I think that 89 00:04:35,839 --> 00:04:37,960 Speaker 4: that's a beautiful thing. At the same time, I do 90 00:04:38,000 --> 00:04:39,960 Speaker 4: think that there's going to be a lot of issues 91 00:04:39,960 --> 00:04:41,560 Speaker 4: that's going to rise with AI. It's a lot of 92 00:04:41,600 --> 00:04:43,479 Speaker 4: great things going to rise with AI. And it's gonna 93 00:04:43,480 --> 00:04:48,320 Speaker 4: be a conversation because it's the greatest shift and technology 94 00:04:48,320 --> 00:04:49,640 Speaker 4: that human beings will ever go. 95 00:04:50,680 --> 00:04:53,720 Speaker 5: Geez, you talked about and we've had this conversation before, 96 00:04:53,760 --> 00:04:57,440 Speaker 5: you and I about prompt engineering, and so I'm sure 97 00:04:57,440 --> 00:04:59,960 Speaker 5: that some people in the audience will not really aware 98 00:05:00,040 --> 00:05:01,760 Speaker 5: of what that is and how important it is. 99 00:05:01,760 --> 00:05:03,640 Speaker 2: But for those who do know, I. 100 00:05:03,640 --> 00:05:06,960 Speaker 6: Guess can you can you where would somebody refine that 101 00:05:07,040 --> 00:05:09,240 Speaker 6: skill or learn that skill set, or where do they 102 00:05:09,240 --> 00:05:12,600 Speaker 6: study to even become somebody who can do this? I mean, 103 00:05:12,640 --> 00:05:15,360 Speaker 6: this is pretty one of the most important things to AI, right, 104 00:05:15,480 --> 00:05:17,400 Speaker 6: is that that language. 105 00:05:17,680 --> 00:05:22,840 Speaker 4: So right now, there's now one way to say who 106 00:05:22,920 --> 00:05:26,880 Speaker 4: would be good at prompt engineering? Right, there's a debate 107 00:05:27,000 --> 00:05:29,880 Speaker 4: on this as we speak as far as who would 108 00:05:29,920 --> 00:05:33,359 Speaker 4: be the greatest at this skill. What I believe, you know, 109 00:05:33,880 --> 00:05:38,800 Speaker 4: I think my interpretation of AI is it works better 110 00:05:38,839 --> 00:05:42,520 Speaker 4: if you're already smart, right, and so prompt engineering prompting 111 00:05:42,640 --> 00:05:47,360 Speaker 4: period is you know, typing in you know, one sentence 112 00:05:47,680 --> 00:05:51,160 Speaker 4: or where and getting a response one to two three responses. 113 00:05:51,200 --> 00:05:55,800 Speaker 4: That's traditionally what a prompt is. Prompt engineering is engineering 114 00:05:55,880 --> 00:05:59,760 Speaker 4: and designing right your speech or your inquiry in a 115 00:05:59,800 --> 00:06:03,720 Speaker 4: way where AI can respond, you know, correctly. So if 116 00:06:03,760 --> 00:06:07,760 Speaker 4: I say, AI, listen, I need you to write me 117 00:06:07,800 --> 00:06:10,599 Speaker 4: a movie script, right, AI is gonna write a movie is? 118 00:06:10,680 --> 00:06:12,760 Speaker 4: Let's go ask you, okay, what kind of movie script? 119 00:06:13,040 --> 00:06:14,840 Speaker 4: He'll be like, okay, well, I want to write a 120 00:06:14,920 --> 00:06:19,480 Speaker 4: scary movie that would be good blockbuster hit right now 121 00:06:19,760 --> 00:06:23,720 Speaker 4: in twenty twenty three, as we go through war times. Now, 122 00:06:23,720 --> 00:06:26,479 Speaker 4: why would I add context about wartimes? Because maybe it 123 00:06:26,520 --> 00:06:30,640 Speaker 4: has information about you know, the type of content that 124 00:06:30,680 --> 00:06:33,200 Speaker 4: a person will want to watch during uncertain times during 125 00:06:33,279 --> 00:06:35,719 Speaker 4: war right, But then I would take it further. So 126 00:06:35,839 --> 00:06:38,159 Speaker 4: let's say you a movie buff and you say, okay, 127 00:06:38,160 --> 00:06:40,200 Speaker 4: well I want you I need you to. 128 00:06:40,160 --> 00:06:43,840 Speaker 7: Assume this episode is brought to you by P and 129 00:06:43,920 --> 00:06:47,000 Speaker 7: C Bank. A lot of people think podcasts about work 130 00:06:47,040 --> 00:06:50,960 Speaker 7: are boring, and sure, they definitely can be, but understanding 131 00:06:50,960 --> 00:06:54,000 Speaker 7: a professionals routine shows us how they achieve their success 132 00:06:54,080 --> 00:06:58,200 Speaker 7: little by little, day after day. It's like banking with 133 00:06:58,240 --> 00:07:01,280 Speaker 7: P and C Bank. 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These are just 164 00:08:48,360 --> 00:08:52,120 Speaker 1: some of the heinous migrant criminals caught because of President 165 00:08:52,120 --> 00:08:55,680 Speaker 1: Donald J. Trump's leadership. I'm Christine Nohm, the United States 166 00:08:55,720 --> 00:09:01,119 Speaker 1: Secretary of Homeland Security. Under President Trump, attempted border crossings 167 00:09:01,160 --> 00:09:04,360 Speaker 1: are at the lowest levels ever recorded, and over one 168 00:09:04,400 --> 00:09:07,640 Speaker 1: hundred thousand illegal aliens have been arrested. If you were 169 00:09:07,679 --> 00:09:11,640 Speaker 1: here illegally, your next you will be fine nearly one 170 00:09:11,640 --> 00:09:16,199 Speaker 1: thousand dollars a day. Imprisoned and deported, you will never return. 171 00:09:16,520 --> 00:09:19,560 Speaker 1: But if you register using our CBP home app and 172 00:09:19,640 --> 00:09:23,040 Speaker 1: leave now, you could be allowed to return legally, do 173 00:09:23,120 --> 00:09:28,240 Speaker 1: what's right. Leave now. Under President Trump, America's laws, border 174 00:09:28,440 --> 00:09:29,800 Speaker 1: and families will. 175 00:09:29,640 --> 00:09:32,440 Speaker 2: Be protected sponsored by the United States Department of Homeland Security. 176 00:09:32,800 --> 00:09:34,760 Speaker 4: So now you're telling the AI to take on the 177 00:09:34,840 --> 00:09:40,079 Speaker 4: characteristic I need you to assume that you are Stephen King, right, 178 00:09:40,559 --> 00:09:43,320 Speaker 4: and I want you to write a movie like Stephen 179 00:09:43,400 --> 00:09:45,199 Speaker 4: King would make. So now he's going to get a 180 00:09:45,240 --> 00:09:47,520 Speaker 4: completely different response than if you would have just told 181 00:09:47,520 --> 00:09:50,600 Speaker 4: her to write a movie. So this is prop engineering, right, 182 00:09:50,720 --> 00:09:53,480 Speaker 4: prompting it to get different responses until you get the 183 00:09:53,480 --> 00:09:56,320 Speaker 4: correct one right. And some people know how to go 184 00:09:56,360 --> 00:09:59,800 Speaker 4: in there and automatically put the context of what they 185 00:10:00,000 --> 00:10:02,160 Speaker 4: I want the response to be the first time or 186 00:10:02,200 --> 00:10:04,960 Speaker 4: second time, versus somebody else that may be spending a 187 00:10:05,000 --> 00:10:07,200 Speaker 4: whole day trying to get AI to get it right. 188 00:10:07,600 --> 00:10:10,640 Speaker 4: And so good propt engineerers know how to go in 189 00:10:10,679 --> 00:10:13,440 Speaker 4: there and get the right responses and a quicker and 190 00:10:13,440 --> 00:10:16,640 Speaker 4: shorter amount of time. Right. So, like when I'm researching 191 00:10:16,720 --> 00:10:20,000 Speaker 4: things because of my mind is creative and I have 192 00:10:20,240 --> 00:10:24,080 Speaker 4: maybe a little more data on certain subjects, I'm going 193 00:10:24,120 --> 00:10:26,800 Speaker 4: to go in there and be like, Okay, I need 194 00:10:26,840 --> 00:10:30,240 Speaker 4: you to, you know, write out I don't know. Let's 195 00:10:30,280 --> 00:10:32,599 Speaker 4: say I like using emails, right, because everybody do a 196 00:10:32,640 --> 00:10:35,200 Speaker 4: lot of emails. So, or let's say a caption. I 197 00:10:35,200 --> 00:10:38,640 Speaker 4: need you to write out a caption like Malcolm X, 198 00:10:39,320 --> 00:10:42,200 Speaker 4: but I want you to do it. I want you 199 00:10:42,240 --> 00:10:44,120 Speaker 4: to do it with the thinking of Malcolm X, but 200 00:10:44,160 --> 00:10:46,240 Speaker 4: I want you to do it with the eloquency of 201 00:10:46,280 --> 00:10:50,640 Speaker 4: Martin Luther King, right. And so therefore it's going to 202 00:10:50,679 --> 00:10:54,080 Speaker 4: give me different response. So the more data that you 203 00:10:54,200 --> 00:10:58,280 Speaker 4: have on your own self, the more different contexts that 204 00:10:58,320 --> 00:11:01,240 Speaker 4: you can put into the AI to respond in different ways, 205 00:11:01,320 --> 00:11:02,640 Speaker 4: then you can say, well, I need you to do 206 00:11:02,679 --> 00:11:05,439 Speaker 4: it humorous, right, I need you to do it, Okay, 207 00:11:05,480 --> 00:11:07,720 Speaker 4: give me two different responds. I like to get bulletin 208 00:11:07,760 --> 00:11:09,720 Speaker 4: points from AI. I don't like when it does loan 209 00:11:09,800 --> 00:11:12,840 Speaker 4: form just going. So I would tell AI, you know, 210 00:11:13,040 --> 00:11:16,520 Speaker 4: give me the emotions of two thousand I did this before. 211 00:11:16,920 --> 00:11:20,240 Speaker 4: Give me the emotional settings of each year from the 212 00:11:20,320 --> 00:11:24,480 Speaker 4: nineteen hundreds to twenty twenty. So first I establish a 213 00:11:24,520 --> 00:11:28,200 Speaker 4: baseline of what it would give me, right, and then 214 00:11:28,400 --> 00:11:30,520 Speaker 4: I'll go in there and I tweak it based on 215 00:11:31,040 --> 00:11:33,839 Speaker 4: you know. It first gave me you know these ones, 216 00:11:33,880 --> 00:11:36,560 Speaker 4: And I said, well, context. It based on what the 217 00:11:36,600 --> 00:11:38,760 Speaker 4: people were going through during that time. Take in the 218 00:11:38,800 --> 00:11:42,320 Speaker 4: financial market, take in, you're right, the social landscape of 219 00:11:42,320 --> 00:11:44,440 Speaker 4: everything that was happening. I need you to give me 220 00:11:44,480 --> 00:11:47,760 Speaker 4: one word emotions, right, and so now it's give me that. 221 00:11:47,880 --> 00:11:51,640 Speaker 4: Then I'll say further, because this is chat GPT I'm 222 00:11:51,640 --> 00:11:54,760 Speaker 4: talking about right, So further. If it's in the same conversation, 223 00:11:55,360 --> 00:11:58,040 Speaker 4: then chat GPT is recording the conversation from the top 224 00:11:58,080 --> 00:12:00,240 Speaker 4: to bottom, so I understand the context when you say 225 00:12:00,240 --> 00:12:03,600 Speaker 4: something next, right, so you can tell it say hey, 226 00:12:03,920 --> 00:12:06,880 Speaker 4: I need you to assume that you are a stock expert. 227 00:12:07,000 --> 00:12:09,720 Speaker 4: This whole entire time while we talk, and as we 228 00:12:09,800 --> 00:12:14,720 Speaker 4: start off the conversation, always say you know, peace God. 229 00:12:14,800 --> 00:12:17,800 Speaker 4: So in every response from the first time that you 230 00:12:17,880 --> 00:12:20,520 Speaker 4: told it to do that into the last stream of inquiries, 231 00:12:20,559 --> 00:12:22,600 Speaker 4: it will say peace God. Then it will respond like 232 00:12:22,640 --> 00:12:25,080 Speaker 4: a stock expert. Then you can say, hey, teach me 233 00:12:25,160 --> 00:12:27,439 Speaker 4: like a third grader. So if you go to a 234 00:12:27,520 --> 00:12:30,480 Speaker 4: place and you're getting high level information, you don't have 235 00:12:30,559 --> 00:12:33,400 Speaker 4: to ask people to simplify anymore. You can just take 236 00:12:33,440 --> 00:12:36,720 Speaker 4: the notes and then feed it the chat GPT and say, hey, 237 00:12:37,120 --> 00:12:40,160 Speaker 4: I went to this seminar I did not understand everything. 238 00:12:40,520 --> 00:12:43,080 Speaker 4: Here are my notes. Can you break this down to 239 00:12:43,120 --> 00:12:45,200 Speaker 4: me like a third grader? You can get a context 240 00:12:45,200 --> 00:12:48,280 Speaker 4: on yourself. Hey, I only ad one year of schooling. 241 00:12:48,600 --> 00:12:50,640 Speaker 4: I'm from the South. If I talk like this, this 242 00:12:50,679 --> 00:12:53,440 Speaker 4: is what I do. So now, Chad GPT is taking 243 00:12:53,480 --> 00:12:55,959 Speaker 4: in all of these different contexts and so it's going 244 00:12:56,000 --> 00:12:59,520 Speaker 4: to customize that education for you. So this is the 245 00:12:59,559 --> 00:13:01,920 Speaker 4: way I do. I make sure it's customized for me. 246 00:13:02,000 --> 00:13:06,440 Speaker 4: I don't want general responses right, And another thing you 247 00:13:06,480 --> 00:13:09,280 Speaker 4: have to know chat GBT four. I would say that's 248 00:13:09,320 --> 00:13:11,319 Speaker 4: the best one, really, the only one we should use 249 00:13:12,280 --> 00:13:14,920 Speaker 4: because the other ones you're probably going to get one 250 00:13:14,920 --> 00:13:17,880 Speaker 4: out of four responses could be wrong. So a lot 251 00:13:17,920 --> 00:13:20,960 Speaker 4: of people can be confident wrong information because the AI 252 00:13:21,200 --> 00:13:24,720 Speaker 4: sometimes gets creative, it gets confused. It kind of like 253 00:13:24,840 --> 00:13:27,160 Speaker 4: drifts and just adds stuff and it's like what is 254 00:13:27,200 --> 00:13:29,520 Speaker 4: this about? And so if a person not that smart, 255 00:13:29,559 --> 00:13:32,880 Speaker 4: they might not know that they're getting false information because 256 00:13:33,400 --> 00:13:36,360 Speaker 4: the AI says it in such a confident matter. But 257 00:13:36,400 --> 00:13:40,000 Speaker 4: it's a language programming, you know, tool, So even as 258 00:13:40,080 --> 00:13:43,400 Speaker 4: we speak, we pulling from language thinking about the next 259 00:13:43,400 --> 00:13:46,280 Speaker 4: thing to say. But AI has way more sweet of 260 00:13:46,800 --> 00:13:49,360 Speaker 4: information and language to pull it from than the average person. 261 00:13:49,400 --> 00:13:51,679 Speaker 4: So we can say things like it was correct, but 262 00:13:51,720 --> 00:13:55,280 Speaker 4: that doesn't mean it actually was right. So prompt engineering 263 00:13:55,320 --> 00:13:58,840 Speaker 4: would be the number one skill set, right, it is 264 00:13:58,880 --> 00:14:01,240 Speaker 4: the number one skill set to learn in my opinion, 265 00:14:01,640 --> 00:14:04,199 Speaker 4: right when it comes to the future of technology. 266 00:14:04,800 --> 00:14:06,520 Speaker 3: Yeah, I know we talked about it before, but if 267 00:14:06,520 --> 00:14:08,120 Speaker 3: we can go back to the nineties and teach our 268 00:14:08,160 --> 00:14:13,240 Speaker 3: kids coding, Prime generation is our era's version of coding, 269 00:14:14,040 --> 00:14:16,200 Speaker 3: right for sure, Like, if you don't have that down, 270 00:14:16,920 --> 00:14:18,880 Speaker 3: you're going to miss out on a wave. And also 271 00:14:18,920 --> 00:14:22,200 Speaker 3: too for everyone who's employed, begin using this to get 272 00:14:22,200 --> 00:14:25,520 Speaker 3: out fifteen x twenty x thirty x output in your 273 00:14:25,600 --> 00:14:27,520 Speaker 3: job to be more efficient. There's some people who used 274 00:14:27,520 --> 00:14:29,800 Speaker 3: to scriptwrite and automate some things at their jobs. But 275 00:14:30,760 --> 00:14:32,360 Speaker 3: either you can be a part of the wave and 276 00:14:32,440 --> 00:14:34,320 Speaker 3: let it take over your job, or you can use 277 00:14:34,320 --> 00:14:36,280 Speaker 3: it and get the results now because most companies are 278 00:14:36,320 --> 00:14:39,360 Speaker 3: not using it. But also if you have a database 279 00:14:39,360 --> 00:14:41,520 Speaker 3: of material, you can act it to write in your voice. 280 00:14:41,560 --> 00:14:43,040 Speaker 3: Like so when I use it, I'll say, hey, write 281 00:14:43,080 --> 00:14:45,360 Speaker 3: this email or telegram messager. 282 00:14:45,480 --> 00:14:48,400 Speaker 4: Oh well, you give it too much away? Now, hey, hey, 283 00:14:48,440 --> 00:14:49,680 Speaker 4: you give it too much away now. 284 00:14:49,920 --> 00:14:51,280 Speaker 3: I'm just saying it helps. 285 00:14:51,320 --> 00:14:52,400 Speaker 6: You. Got a lot a lot of. 286 00:14:54,520 --> 00:14:57,840 Speaker 4: My graduates from my school being false. 287 00:14:57,840 --> 00:15:00,000 Speaker 3: Bad drop bags, drop. 288 00:15:01,400 --> 00:15:02,800 Speaker 6: Bang drops. 289 00:15:13,120 --> 00:15:16,760 Speaker 1: An illegal alien from Guatemala charged with raping a child 290 00:15:16,800 --> 00:15:20,600 Speaker 1: in Massachusetts. An MS thirteen gang member from Al Salvador 291 00:15:20,840 --> 00:15:24,960 Speaker 1: accused of murdering a Texas man of Venezuelan charged with 292 00:15:25,040 --> 00:15:28,920 Speaker 1: filming and selling child pornography in Michigan. These are just 293 00:15:29,040 --> 00:15:32,800 Speaker 1: some of the heinous migrant criminals caught because of President 294 00:15:32,840 --> 00:15:36,360 Speaker 1: Donald J. Trump's leadership. I'm Christy Noman, the United States 295 00:15:36,440 --> 00:15:41,240 Speaker 1: Secretary of Homeland Security. Under President Trump, attempted illegal border 296 00:15:41,240 --> 00:15:44,800 Speaker 1: crossings are at the lowest levels ever recorded, and over 297 00:15:44,880 --> 00:15:47,120 Speaker 1: one hundred thousand illegal aliens. 298 00:15:46,680 --> 00:15:47,520 Speaker 2: Have been arrested. 299 00:15:47,800 --> 00:15:51,320 Speaker 1: If you are here illegally, your next you will be 300 00:15:51,400 --> 00:15:55,280 Speaker 1: fined nearly one thousand dollars a day, imprisoned, and deported. 301 00:15:55,720 --> 00:15:58,960 Speaker 1: You will never return. But if you register using our 302 00:15:59,000 --> 00:16:02,200 Speaker 1: CBP home app and leave now, you could be allowed 303 00:16:02,240 --> 00:16:07,200 Speaker 1: to return legally. Do what's right. Leave now. Under President Trump, 304 00:16:07,360 --> 00:16:10,480 Speaker 1: America's laws border and families. 305 00:16:10,120 --> 00:16:12,520 Speaker 2: Will be protected. Sponsored by the United States Department of 306 00:16:12,520 --> 00:16:13,160 Speaker 2: Homeland Security,