WEBVTT 1 00:00:00.600 --> 00:00:02.919 This is Gary and Shannon and you're listening to KFI 2 00:00:03.080 --> 00:00:05.839 AM six forty, the Gary and Shannon Show on demand 3 00:00:05.919 --> 00:00:08.919 on the iHeartRadio app. A couple stories that we are 4 00:00:09.000 --> 00:00:11.800 following today. We'll get into Swamp watching all the DC 5 00:00:11.919 --> 00:00:15.000 stuff coming up in a bit. But Amazon long ago 6 00:00:15.240 --> 00:00:18.760 past Walmart in terms of market capitalization. But the but 7 00:00:18.920 --> 00:00:21.320 it looks like Amazon is finally going to leap frog 8 00:00:21.399 --> 00:00:27.039 Walmart by another key metric, just straight out revenue. Walmart 9 00:00:27.120 --> 00:00:28.760 for the last twelve years or so has held the 10 00:00:28.760 --> 00:00:31.399 distinction of being the top revenue generator in each quarter. 11 00:00:31.440 --> 00:00:35.119 In fact, in twenty twelve, it overtook Exxon Mobile in 12 00:00:35.240 --> 00:00:38.759 terms of generation of revenue. Its earnings release after the 13 00:00:38.759 --> 00:00:41.640 close of trading today, Amazon has expected to report revenue 14 00:00:41.679 --> 00:00:44.479 of one hundred and eighty seven billion, with a b 15 00:00:45.039 --> 00:00:48.600 one hundred and eighty seven billion in revenue. Walmart reports 16 00:00:48.600 --> 00:00:52.479 in a couple of weeks they are expecting about one 17 00:00:52.560 --> 00:00:54.679 hundred and eighty billions. It would be the first time 18 00:00:54.719 --> 00:00:59.280 that Amazon surpasses Walmart in terms of just straight revenue. 19 00:00:59.359 --> 00:01:03.719 For those of you you've been counting cows, The USDA's 20 00:01:03.799 --> 00:01:08.159 January cattle inventory report showed a slight decline in the 21 00:01:08.200 --> 00:01:11.680 cattle herd nationwide. As of January, the total number of 22 00:01:11.760 --> 00:01:14.719 cattle and calves was about eighty six point seven million. 23 00:01:14.719 --> 00:01:18.640 That's down about a percent from last year. Beef in 24 00:01:18.760 --> 00:01:22.519 the United States, the beef herd has gone down forty 25 00:01:22.560 --> 00:01:26.239 percent since nineteen seventy five. It's now at the smallest 26 00:01:26.280 --> 00:01:30.079 size since nineteen sixty one. Beef cows that have calved 27 00:01:30.120 --> 00:01:32.319 hit a record low at twenty seven point nine million. 28 00:01:32.920 --> 00:01:37.200 They said that replacement heifer's has also decreased, indicating continued 29 00:01:37.239 --> 00:01:40.719 contraction in what they referred to as the cattle cycle, 30 00:01:41.519 --> 00:01:45.359 and as Paul Harvey used to say, we killed a killer. 31 00:01:45.760 --> 00:01:48.560 A Texas man convicted of murdering a pastor was put 32 00:01:48.599 --> 00:01:52.799 to death yesterday. Stephen Lwaine Nelson was convicted in the 33 00:01:52.879 --> 00:01:57.239 killing of twenty eleven of the Reverend Clint Dobson, beaten, choked, 34 00:01:57.239 --> 00:02:00.480 suffocated with the plastic bag inside a church in Arlington, Texas. 35 00:02:01.120 --> 00:02:05.239 So the murderer spent his final moment speaking to his wife, Helena, 36 00:02:05.760 --> 00:02:09.120 wife of about two weeks, by the way, telling her 37 00:02:09.159 --> 00:02:11.159 to live a full life. She held up her white 38 00:02:11.319 --> 00:02:15.719 service dog to the window that was separating them, and 39 00:02:15.759 --> 00:02:19.080 then the last thing he said to the warden, I'm 40 00:02:19.120 --> 00:02:24.240 not scared. I'm at peace. Let's ride warden. That's what 41 00:02:24.319 --> 00:02:26.840 he said. It's time for swamp watch. 42 00:02:26.879 --> 00:02:29.360 I'm a politician, which means I'm a cheat and a liar. 43 00:02:29.800 --> 00:02:32.560 And when I'm not kissing babies, I'm stealing that lollipop. 44 00:02:32.680 --> 00:02:33.439 Here we got. 45 00:02:33.280 --> 00:02:36.360 The real problem is that our leaders are done. 46 00:02:36.400 --> 00:02:37.879 The other side never quits, so. 47 00:02:38.159 --> 00:02:41.520 What I'm not going anywhere? 48 00:02:41.599 --> 00:02:44.000 So that is how you train the squat. 49 00:02:44.080 --> 00:02:46.360 I can imagine what can be and be unburdened by 50 00:02:46.360 --> 00:02:48.639 what has been, you know, have always. 51 00:02:48.319 --> 00:02:51.199 Been gone at present, they're not stupid. 52 00:02:51.199 --> 00:02:54.120 A political flunder is when a politician actually tells the truth. 53 00:02:54.240 --> 00:02:57.240 Have people voted for you with not swamp watch? They're 54 00:02:57.280 --> 00:02:57.960 all counteroed. 55 00:02:58.039 --> 00:03:00.599 All right, let's start with the Department of Government Efficiency. 56 00:03:00.599 --> 00:03:03.280 It's the one that's creating the most consistent headlines over 57 00:03:03.319 --> 00:03:06.639 these last couple of days. What would you say you 58 00:03:06.759 --> 00:03:12.199 do here? There was a late night demonstration. I suppose 59 00:03:12.319 --> 00:03:15.719 members of Congress upset about Elon Musk in the Department 60 00:03:15.919 --> 00:03:18.360 of Government Efficiency and what they are doing in terms 61 00:03:18.400 --> 00:03:21.800 of going after and trimming parts of the federal budget. 62 00:03:21.879 --> 00:03:24.919 That are unnecessary, or workers that are outdated or don't 63 00:03:24.919 --> 00:03:28.759 do enough. These are four different members of Congress with 64 00:03:28.960 --> 00:03:32.159 very different ideas about what Elon Musk is doing. Real 65 00:03:32.199 --> 00:03:38.400 innovation is not clean and tidy. It's necessarily disruptive and messy. 66 00:03:39.319 --> 00:03:41.159 But that's exactly what Washington needs. 67 00:03:41.199 --> 00:03:41.639 Right now. 68 00:03:41.960 --> 00:03:45.039 Our federal government is being fleeced by handful of billionaires 69 00:03:45.080 --> 00:03:47.520 at the expense of every day people. 70 00:03:48.080 --> 00:03:51.120 They're what we call unelected billionaire Oligarden. 71 00:03:51.479 --> 00:03:55.840 At this very moment, an unelected, unaccountable billionaire is rating 72 00:03:55.960 --> 00:03:56.680 our government. 73 00:03:56.800 --> 00:03:59.879 I am sickened by the way that the left is 74 00:04:01.039 --> 00:04:05.280 categorizing and lying about what Elon Musk is doing in 75 00:04:05.319 --> 00:04:06.080 the federal government. 76 00:04:06.400 --> 00:04:11.240 Brandon Gill is a Republican on the House Oversight and 77 00:04:11.280 --> 00:04:15.199 Government Reform Committee and was on CNN this morning and 78 00:04:15.280 --> 00:04:19.319 said this, you know, this anger from Democrats about Elon 79 00:04:19.399 --> 00:04:22.439 Musk and this Department of Government efficiency is pretty manufactured, 80 00:04:22.519 --> 00:04:27.000 considering this is something that Trump campaigned on for months now. 81 00:04:27.000 --> 00:04:28.720 I think my colleagues on the other side of the 82 00:04:28.759 --> 00:04:32.000 aisle like to act as if this is something novel, 83 00:04:32.120 --> 00:04:35.000 is that this is something that's unexpected. This is part 84 00:04:35.040 --> 00:04:38.959 of the Trump mandate. Getting rid of wasteful spending. I 85 00:04:39.000 --> 00:04:40.839 think that my colleagues on the other side of the 86 00:04:40.839 --> 00:04:43.959 aisle seem not to be upset about our tax dollars 87 00:04:44.040 --> 00:04:48.759 going to idiotic projects, particularly within USAID, but the fact 88 00:04:48.800 --> 00:04:52.519 that all of this waste is finally being exposed and 89 00:04:52.560 --> 00:04:54.360 Elon Musk is playing a key role in that. 90 00:04:55.000 --> 00:04:58.279 Now, along those lines, the Trump administration did agree in 91 00:04:58.319 --> 00:05:02.319 a court filing not to expand access to sensitive Treasury 92 00:05:02.319 --> 00:05:05.480 Department payment system for special government employees, the DOGE people. 93 00:05:06.279 --> 00:05:09.839 This filing follow a series of hearings for the lawsuit 94 00:05:09.920 --> 00:05:13.160 yesterday in the District Court for the DC area brought 95 00:05:13.160 --> 00:05:15.720 by current and retired federal employees unions that were trying 96 00:05:15.759 --> 00:05:19.759 to block what they said were unlawful was sorry, unlawful 97 00:05:19.800 --> 00:05:22.600 access to government employee data and to try to protect 98 00:05:22.639 --> 00:05:26.959 any data that DOGE workers had accessed up to that point. 99 00:05:27.519 --> 00:05:31.000 Several lawsuits have criticized that there's been too much access 100 00:05:31.079 --> 00:05:33.839 given to Elon Musk and to those that are working 101 00:05:33.879 --> 00:05:38.279 for DOGE. A Justice Department Department attorney said the call 102 00:05:38.600 --> 00:05:42.600 set on this these calls that two special two special 103 00:05:42.639 --> 00:05:46.040 government employees at Treasury had been given the read only 104 00:05:46.120 --> 00:05:48.879 access to that system in order to work with Doge 105 00:05:49.439 --> 00:05:51.839 said that these employees are helped meant to carry out 106 00:05:51.879 --> 00:05:54.959 policy set by DOGE. But in the filing, the government 107 00:05:54.959 --> 00:05:57.959 agreed they would not be expanding any access for those 108 00:05:58.000 --> 00:06:01.319 two guys to the system or to share any information 109 00:06:01.399 --> 00:06:05.079 that they have access to outside of the Treasury Department. 110 00:06:05.439 --> 00:06:09.680 Another big in that same line, another big court decision. Today, 111 00:06:09.680 --> 00:06:15.639 a federal federal judge not his name is George, a 112 00:06:15.639 --> 00:06:20.000 federal judge named George has temporarily blocked the administration and 113 00:06:20.160 --> 00:06:23.319 DOGE from implementing the Fork in the Road federal employee 114 00:06:23.319 --> 00:06:26.480 buyout offer until at least Monday, when they could do 115 00:06:26.519 --> 00:06:28.519 a hearing. The fork in the road, by the way, 116 00:06:28.639 --> 00:06:31.279 was this eight month buyout. You get eight months of 117 00:06:31.319 --> 00:06:33.639 pay and benefits now if you want to retire early. 118 00:06:34.560 --> 00:06:37.160 According to a couple of different to a few different 119 00:06:37.519 --> 00:06:42.800 federal unions. They argued that this deferred resignation was unlawful, 120 00:06:42.879 --> 00:06:46.360 it was arbitrary, and would result in a dangerous one 121 00:06:46.360 --> 00:06:50.639 to two punch to the federal government. Yesterday, President Trump 122 00:06:51.399 --> 00:06:56.560 also signed an executive order banning trans women from women 123 00:06:56.600 --> 00:06:57.319 in girls sports. 124 00:06:57.399 --> 00:06:59.279 Marco is going to make clear too. 125 00:06:59.199 --> 00:07:02.160 Oh and well, this was what he said. I got 126 00:07:02.199 --> 00:07:03.759 those mixed up. This is what he said at the 127 00:07:03.800 --> 00:07:05.000 signing of the executive order. 128 00:07:05.079 --> 00:07:09.319 Well, sign a historic executive order to bend men from 129 00:07:09.360 --> 00:07:13.759 competing in women's sports. About under the Trump administration, we 130 00:07:13.839 --> 00:07:17.279 will defend the proud tradition of female athletes. 131 00:07:17.360 --> 00:07:20.879 He was surrounded by women and girls, invited a bunch 132 00:07:20.920 --> 00:07:22.480 of little girls around him at the desk when he 133 00:07:22.519 --> 00:07:24.040 was signing, and was making fun of the fact that 134 00:07:24.079 --> 00:07:26.920 he was trying to sign his signature perfectly. 135 00:07:27.199 --> 00:07:28.399 Oh, I think we have a ten. 136 00:07:29.480 --> 00:07:34.959 We have a ten. He also suggested that he's somehow 137 00:07:34.959 --> 00:07:38.720 going to exert control over the International Olympic Committee and 138 00:07:39.439 --> 00:07:43.680 prevent trans women from taking part in women's sports in 139 00:07:43.759 --> 00:07:44.720 the Olympics. 140 00:07:44.759 --> 00:07:48.079 Marco is going to make clear to the International Olympic 141 00:07:48.120 --> 00:07:50.759 committees there, and he's going to make it as clear 142 00:07:50.759 --> 00:07:56.160 as anybody can make it that America categorically rejects transgender lunacy. 143 00:07:56.240 --> 00:07:58.240 We want them to change everything having to do with 144 00:07:58.279 --> 00:08:02.399 the Olympics and having to do with this absolutely ridiculous 145 00:08:02.480 --> 00:08:04.839 subject that we even have to talk about this subject. 146 00:08:06.399 --> 00:08:08.759 I don't know how that's going to go, but we'll see. 147 00:08:08.800 --> 00:08:11.839 Now he put it on Mi Marco Rubio's shoulders to 148 00:08:11.920 --> 00:08:14.639 go before the International Olympic Committee. Okay, you ready for 149 00:08:14.639 --> 00:08:19.959 your jeopardy question. I am alliteration on the map for 150 00:08:20.160 --> 00:08:21.920 four hundred on the map. 151 00:08:22.040 --> 00:08:22.319 Yes. 152 00:08:23.040 --> 00:08:25.680 When this span over New York City's East River opened 153 00:08:25.680 --> 00:08:28.399 in eighteen eighty three, it cost one penny to cross 154 00:08:28.399 --> 00:08:31.920 on foot and five cents for a horse and rider. 155 00:08:33.080 --> 00:08:36.919 Which river? The East River is the only. 156 00:08:39.039 --> 00:08:42.000 The only bridge that has alliteration? What is the Brooklyn Bridge? 157 00:08:42.039 --> 00:08:42.919 You are correct? 158 00:08:43.679 --> 00:08:46.679 Congratulation, Thank you. How much money did I win on 159 00:08:46.720 --> 00:08:47.000 that one? 160 00:08:47.039 --> 00:08:48.639 That's four hundred? It's not bad. 161 00:08:48.799 --> 00:08:50.240 Yeah, I'm problem. 162 00:08:50.080 --> 00:08:52.320 With that, Hey, Gary, of course I won. 163 00:08:53.440 --> 00:08:54.480 I deleted the wrong one. 164 00:08:54.519 --> 00:08:59.960 Somebody else had a question about about Statn's Oh yeah, 165 00:09:00.039 --> 00:09:03.480 Chrissy had a question about whatever happened with the story 166 00:09:03.480 --> 00:09:05.159 of Statins. 167 00:09:06.320 --> 00:09:08.799 Hey. I was just now able to tune in, and 168 00:09:08.879 --> 00:09:13.159 so did I already miss Shannon number one weighing in 169 00:09:13.200 --> 00:09:18.080 on Shannon number two's cholesterol levels. Yes, I do think Shannon. 170 00:09:18.279 --> 00:09:23.000 I'd start with giving up bacon. No, I have pie triglycerides, 171 00:09:23.080 --> 00:09:26.519 and I am supposed to stop eating pork and beef 172 00:09:26.519 --> 00:09:32.759 and cheese. But I don't mind eating poultry and fish 173 00:09:32.840 --> 00:09:35.039 and ve cheese, so try it. 174 00:09:35.080 --> 00:09:35.360 Well. 175 00:09:35.559 --> 00:09:39.279 No, she did give advice. It's medical stuff. I'm not 176 00:09:39.320 --> 00:09:42.799 going to get into it. But I'm bringing food this weekend. 177 00:09:43.039 --> 00:09:44.960 Maybe you don't have to bring all the food. When 178 00:09:44.960 --> 00:09:48.960 you break food. You always bring like seven flatters of food, 179 00:09:49.480 --> 00:09:52.879 like I know, and it's always good. Never had bad 180 00:09:52.960 --> 00:09:56.799 food from Michelle. If I did, I certainly wouldn't say 181 00:09:56.799 --> 00:10:00.000 it out loud. You've never had bad food. The White 182 00:10:00.120 --> 00:10:06.360 House has confirmed that Gavin Newsom met with President Trump yesterday, 183 00:10:06.799 --> 00:10:09.399 and then while in DC, he sat down for an 184 00:10:09.440 --> 00:10:12.600 interview with CNN and described what is referred to as 185 00:10:12.639 --> 00:10:15.200 a weird relationship between the two of us. 186 00:10:15.279 --> 00:10:17.360 We had this relationship, I will say, one of the 187 00:10:17.399 --> 00:10:19.759 more I'll lead it to more objective minds, was one 188 00:10:19.759 --> 00:10:22.679 of the more interesting relationships in politics because we had 189 00:10:22.679 --> 00:10:25.320 this relationship going back during COVID. I mean, we were 190 00:10:25.320 --> 00:10:27.679 involved in one hundred lawsuits going back and forth. I 191 00:10:27.759 --> 00:10:30.399 mean you can look at the tweets back then calling 192 00:10:30.440 --> 00:10:32.240 me a clown, you know, I mean, the worst coverany 193 00:10:32.440 --> 00:10:35.399 and yet we were still working together and all that 194 00:10:35.480 --> 00:10:37.559 was a little bit of noise. So it just feels 195 00:10:37.559 --> 00:10:40.840 so familiar, and in that respect, I want to continue 196 00:10:40.960 --> 00:10:44.360 to respect the office of the Presidency, to respect his authority, 197 00:10:45.279 --> 00:10:48.080 and to also engage in a constructive dialogue when it 198 00:10:48.120 --> 00:10:50.000 comes to issues of emergencies. 199 00:10:49.519 --> 00:10:52.039 And listen, I'll give Gavin news some credit. He's smart 200 00:10:52.159 --> 00:10:54.360 enough to know that he's got to be quiet. These 201 00:10:54.440 --> 00:10:56.720 last couple of weeks, with the executive orders that have 202 00:10:56.759 --> 00:11:00.120 come out of the White House have infuriated Democrats, and 203 00:11:00.360 --> 00:11:02.679 Gavin Newsom is usually at the forefront of some of 204 00:11:02.720 --> 00:11:06.480 that and sometimes the loudest voice pushing back against Donald Trump. 205 00:11:06.840 --> 00:11:09.960 It's been pretty quiet last couple of weeks because he 206 00:11:10.120 --> 00:11:13.960 knows that the federal government, the federal money that comes in, 207 00:11:14.480 --> 00:11:17.600 is going to have to be used to help rebuild 208 00:11:17.759 --> 00:11:21.440 after our fires. In terms of that meeting that they had. 209 00:11:21.480 --> 00:11:24.320 If you remember when President Trump flew out here to 210 00:11:24.360 --> 00:11:26.759 California to get a view of the wildfires and Gavin 211 00:11:26.799 --> 00:11:29.480 Newsom met him on the tarmac, he was asked what 212 00:11:29.519 --> 00:11:32.039 was what was said between the two of you when 213 00:11:32.080 --> 00:11:33.879 he came down the stairs of Air Force one. He 214 00:11:33.919 --> 00:11:36.360 came there to California to tour the wildfire damage. 215 00:11:36.559 --> 00:11:37.919 Bring us into that, I know a lot of us 216 00:11:37.960 --> 00:11:39.720 were wondering what was happening in that moment. 217 00:11:39.960 --> 00:11:42.639 I just again back to open hand on a close 218 00:11:42.720 --> 00:11:45.840 fist welcoming back to the state of California, and I 219 00:11:45.879 --> 00:11:49.559 don't want, you know, people start relipping lips here. 220 00:11:50.080 --> 00:11:52.240 I want to go straight to the source talking about water. 221 00:11:52.279 --> 00:11:54.120 I mean, we were in middle again, in the middle 222 00:11:54.159 --> 00:11:56.759 of a conversation that we ended. 223 00:11:56.879 --> 00:11:58.720 At the end of right into the water. 224 00:11:58.919 --> 00:12:02.559 In that conversation, he's very focused on water, and I 225 00:12:02.600 --> 00:12:04.879 appreciate that. I'm focused on water. It's one of the 226 00:12:04.879 --> 00:12:08.000 most I mean, I mean California, you know, it's so 227 00:12:08.159 --> 00:12:10.320 this is this is a top issue for us. 228 00:12:10.600 --> 00:12:15.039 By the way, adding to the uncomfortability, the state of 229 00:12:15.240 --> 00:12:19.320 California finalized the approval of twenty five million dollars in 230 00:12:19.399 --> 00:12:23.399 legal funding to challenge the Trump administration to two bills 231 00:12:23.399 --> 00:12:26.679 at twenty five million dollars apiece to challenge whatever's going 232 00:12:26.720 --> 00:12:29.039 on with the Trump administration. I don't know if that 233 00:12:29.120 --> 00:12:31.639 came up in conversation. It's time for tech talk. 234 00:12:32.360 --> 00:12:36.600 The machines are getting smarter. This is tech Talk, brought 235 00:12:36.639 --> 00:12:39.080 to you by Skynette. 236 00:12:40.200 --> 00:12:43.279 Mark Saltzman is our tech guru who translates a lot 237 00:12:43.320 --> 00:12:47.720 of this stuff into understandable, understandable words for us. 238 00:12:48.639 --> 00:12:51.480 Okay, or as I like to say, breakdown geek speak 239 00:12:51.519 --> 00:12:52.480 into street speaking. 240 00:12:52.519 --> 00:12:54.879 Oh that's do you have that on a T shirt somewhere? 241 00:12:54.960 --> 00:12:59.679 That is my cheesy cat catchphrase, my tagline on my podcast. 242 00:12:59.679 --> 00:13:00.919 But yeah, we talked. 243 00:13:01.200 --> 00:13:03.480 We talked last week about deep seek and what it 244 00:13:03.600 --> 00:13:05.960 means and how it works. And I had said, you know, 245 00:13:06.000 --> 00:13:08.639 I was unaware of how many people use AI on 246 00:13:08.679 --> 00:13:12.480 a regular basis for job stuff, responding to emails, helping 247 00:13:12.600 --> 00:13:16.759 schedule their days, all that sort of stuff. I asked 248 00:13:17.240 --> 00:13:20.279 AI in this case chat GPT to come up with 249 00:13:20.480 --> 00:13:22.559 a radio play that we were going to do for 250 00:13:22.600 --> 00:13:25.879 our Christmas presentation last the end of last year. 251 00:13:26.159 --> 00:13:26.480 It was. 252 00:13:26.559 --> 00:13:29.879 It was awful. It was really really cheesy and bad, 253 00:13:30.120 --> 00:13:32.679 which you know, just goes to show it's not perfect 254 00:13:32.679 --> 00:13:37.519 and obviously can't replicate humanity. But you have an article 255 00:13:37.559 --> 00:13:42.720 about using some specific prompts to help figure out exactly 256 00:13:42.759 --> 00:13:45.000 what you're looking for and how to get what you're 257 00:13:45.000 --> 00:13:45.440 looking for. 258 00:13:45.840 --> 00:13:48.879 Yeah, just a point of clarification, it's my colleague Kim 259 00:13:49.000 --> 00:13:52.440 Commando at USA Today who wrote this piece. But it's 260 00:13:52.480 --> 00:13:56.080 funny after we chatted last week on tech Talk Thursdays, 261 00:13:56.159 --> 00:13:59.639 I did get email and messages rather on social media 262 00:13:59.720 --> 00:14:04.440 from KFI listeners asking for examples of using deep seek 263 00:14:04.639 --> 00:14:07.879 and chat gept, so it actually fed nicely. So yeah, 264 00:14:07.879 --> 00:14:09.960 I thought i'd share a couple of things that you 265 00:14:10.000 --> 00:14:14.519 can try, whether you like chat, GPT, deep seek, or Google, 266 00:14:14.559 --> 00:14:17.879 Gemini or copilot, those are sort of the more popular ones. 267 00:14:18.399 --> 00:14:22.039 The first thing is to ask the it's called a 268 00:14:22.080 --> 00:14:24.679 prompt what you type in. You would type in, how 269 00:14:24.679 --> 00:14:26.879 do I make this better? And then you add in 270 00:14:26.960 --> 00:14:30.320 anything you've already written, like a speech, a radio play, 271 00:14:31.200 --> 00:14:35.120 a school essay, an email, and then it will actually 272 00:14:35.159 --> 00:14:37.519 it'll look at what you did and give you a 273 00:14:37.519 --> 00:14:39.879 better version of it. And you can say, by the way, Gary, 274 00:14:39.960 --> 00:14:42.080 I want this radio play. It was too cheesy. I 275 00:14:42.080 --> 00:14:44.679 don't want it as cheesy. You can actually tweak what 276 00:14:44.720 --> 00:14:48.480 it delivers for you and it'll it'll customize it even further. 277 00:14:48.960 --> 00:14:52.399 So that's a good one. Another one is to say 278 00:14:52.480 --> 00:14:55.919 to type this in, explain this like I'm ten, and 279 00:14:56.039 --> 00:14:58.440 then and then write what you want explain to you. 280 00:14:58.559 --> 00:15:02.759 I don't know climate change, nuclear fusion, how the stock 281 00:15:02.799 --> 00:15:05.559 market works. I don't know, and then it will like 282 00:15:05.600 --> 00:15:07.879 you could say, or tell me like I'm fifteen, or 283 00:15:08.879 --> 00:15:11.519 it'll actually write it in a language based on the 284 00:15:11.519 --> 00:15:14.039 age that you ask it to give it to you. 285 00:15:14.039 --> 00:15:19.039 And so if you really need a primer in plain English, 286 00:15:19.080 --> 00:15:21.279 that's a great way to do it, and it really works. 287 00:15:21.639 --> 00:15:23.960 You could also, by the way, say explain this to 288 00:15:24.000 --> 00:15:26.159 me in one hundred words. In five hundred words, you 289 00:15:26.159 --> 00:15:29.759 can specify all of that. On a related note, you 290 00:15:29.799 --> 00:15:33.279 can say, explain both sides of the argument, and then 291 00:15:33.320 --> 00:15:37.960 you type in what the argument is about, you know, whatever, politics, whatever, 292 00:15:38.080 --> 00:15:40.960 any personal dilemmas. Tell me the pros and cons or 293 00:15:40.960 --> 00:15:42.840 tell me both sides of this argument, and you'd be 294 00:15:42.879 --> 00:15:45.600 surprised how good it is. And then the last one 295 00:15:45.799 --> 00:15:49.600 would be to tell the AI, the gener of AI 296 00:15:49.720 --> 00:15:54.840 platform to remember blank, remember that I'm a tea drinker, 297 00:15:54.960 --> 00:15:58.639 not a coffee drinker, or remember that you know I 298 00:15:58.720 --> 00:16:02.480 work in sales, or something like that, and you'd be 299 00:16:02.519 --> 00:16:05.279 surprised going forward. It's really good. It's very accurate. It'll 300 00:16:05.320 --> 00:16:08.000 remember things that you've once told it, so long as 301 00:16:08.039 --> 00:16:10.639 you're still signed in, of course. And then speaking of which, 302 00:16:10.679 --> 00:16:13.360 a friend of mine, he's got a good sense of humor. 303 00:16:13.480 --> 00:16:16.360 He didn't have the best year last year. He's in 304 00:16:16.399 --> 00:16:20.919 the promotional products industry, and he wrote to in Chachipt 305 00:16:21.399 --> 00:16:26.639 roast me, and so it said, so let me get 306 00:16:26.639 --> 00:16:29.559 this straight, Mike. You're in the promotional products business, but 307 00:16:29.639 --> 00:16:33.480 twenty twenty four promoted nothing but losses and it says 308 00:16:33.519 --> 00:16:36.519 your business took such a nose dive. Even Gravity was impressed. 309 00:16:36.759 --> 00:16:39.200 NASA called they want to study your trajectory. Like it 310 00:16:39.480 --> 00:16:42.440 gave him. It was like, really funny. You know, your 311 00:16:42.440 --> 00:16:44.960 stress levels have been so high. Your fitbit filed for 312 00:16:45.080 --> 00:16:49.039 workers comp and then it turned it into something more 313 00:16:49.080 --> 00:16:53.120 positive and you know, motivating for twenty twenty five. But like, 314 00:16:53.200 --> 00:16:56.080 it's really funny. So you can even ask chachipt to 315 00:16:56.279 --> 00:16:58.240 roast you. It may ask for a bit more if 316 00:16:58.279 --> 00:17:02.039 you didn't ask it to remember anything about it. But yeah, 317 00:17:02.080 --> 00:17:04.799 I could say I'm a tech reviewer roast me, you know. 318 00:17:05.480 --> 00:17:07.240 So yeah, so that's a couple of things to keep 319 00:17:07.240 --> 00:17:09.079 in mind. Soft. I do get that question I've been 320 00:17:09.079 --> 00:17:11.119 hearing about AI, but what do I really do with it? 321 00:17:11.400 --> 00:17:13.920 Or or type in your packing list for an upcoming 322 00:17:14.039 --> 00:17:17.039 vacation and ask your AI what am I missing, and 323 00:17:17.079 --> 00:17:19.799 it'll look at what you wrote and give you some suggestions. Yeah. 324 00:17:19.839 --> 00:17:22.200 So Kim Commando wrote a good piece in USA today 325 00:17:22.240 --> 00:17:22.519 on that. 326 00:17:22.680 --> 00:17:24.200 I'll give her. You know, I gave you the credit, 327 00:17:24.240 --> 00:17:26.720 but I'll get credit for that. But I have a 328 00:17:26.799 --> 00:17:31.359 question about chat GPT. I know has a paid tier 329 00:17:31.480 --> 00:17:33.279 as opposed to the free tier which most people are 330 00:17:33.319 --> 00:17:36.799 familiar with. Do other ones also have that paid tier? 331 00:17:36.960 --> 00:17:39.079 And if so, what do I get for the money? 332 00:17:39.519 --> 00:17:41.799 Yeah, that's a great question. So they most of them do. 333 00:17:42.359 --> 00:17:46.240 Google Gemini. It's called Google Gemini for Advanced, and that 334 00:17:46.359 --> 00:17:50.279 is a subscription model. So it gives you more results, 335 00:17:50.640 --> 00:17:54.000 more up to date results. Same with chatchipt like it'll 336 00:17:54.000 --> 00:17:58.240 give you more current information. It like it'll give you 337 00:17:58.279 --> 00:18:04.079 more coding abilities for those in business who want something 338 00:18:04.240 --> 00:18:07.640 coded for their website, so it unlocks more features, more 339 00:18:07.680 --> 00:18:10.680 up to date features. It may give you the opportunity, 340 00:18:10.720 --> 00:18:14.240 depending on the platform, to verbally ask your prompt instead 341 00:18:14.279 --> 00:18:17.240 of typing it in like more conversational. So yeah, there's 342 00:18:17.240 --> 00:18:19.200 a few different things you would get depending on which 343 00:18:19.240 --> 00:18:22.279 one you use, and some include image creation that may 344 00:18:22.279 --> 00:18:25.039 not be free, like you know, when you want it 345 00:18:25.119 --> 00:18:28.119 to generate a photo for your website. Let's say, okay, 346 00:18:28.160 --> 00:18:32.039 I want a black couple between thirty and forty sipping 347 00:18:32.039 --> 00:18:34.839 a Pina colod on a beach, you know, for it 348 00:18:34.920 --> 00:18:36.839 to create that image for you that you can use 349 00:18:36.920 --> 00:18:39.279 royalty free. You may have to use one of those 350 00:18:39.319 --> 00:18:42.720 paid versions. Yeah, but instead of having to hire, you know, 351 00:18:42.960 --> 00:18:45.559 actors on a beach and a photographer and get the 352 00:18:45.599 --> 00:18:48.160 sunset just right, it's all AI, you know, for better 353 00:18:48.240 --> 00:18:50.119 or for worse. I don't want to take anybody's job away, 354 00:18:50.160 --> 00:18:53.079 but if budgets are tight and you need a royalty 355 00:18:53.079 --> 00:18:54.920 free image, it's a pretty wild tool. 356 00:18:55.039 --> 00:18:57.599 There is something that Kim Commando says at the end 357 00:18:57.599 --> 00:18:59.559 of the article, which is that you should think of 358 00:18:59.599 --> 00:19:01.480 AI as your first step and not your last. And 359 00:19:01.480 --> 00:19:03.000 I think a lot of people have done that where 360 00:19:03.039 --> 00:19:05.759 they say I don't even know where to begin writing. 361 00:19:05.880 --> 00:19:09.079 A earlier this week, we talked about using AI to 362 00:19:09.160 --> 00:19:12.319 start writing things like a best man speech or maybe 363 00:19:12.400 --> 00:19:14.519 a eulogy that you're giving it a funeral or something 364 00:19:14.559 --> 00:19:16.799 like that, and not that you would just take whatever 365 00:19:16.839 --> 00:19:19.799 the computer spits out and read that, but that you 366 00:19:19.799 --> 00:19:22.599 would use that as something that you could then embellish 367 00:19:22.640 --> 00:19:25.559 you could you know, add specific more specifics to and 368 00:19:25.640 --> 00:19:26.160 things like that. 369 00:19:26.240 --> 00:19:28.359 It's a great tip. Yeah, I mean we all get 370 00:19:28.440 --> 00:19:31.799 lazy where you know, the path the least resistance. But yeah, 371 00:19:31.799 --> 00:19:34.160 you don't want to read a eulogy for Kevin's sakes 372 00:19:34.480 --> 00:19:36.920 about you know, something that AI wrote and you didn't 373 00:19:36.920 --> 00:19:39.759 even vet it, Like that's not good? Uh So no, 374 00:19:39.880 --> 00:19:42.440 of course, yeah, you've got to even if it's not 375 00:19:42.680 --> 00:19:44.519 something like that you're going to do in public, you 376 00:19:44.640 --> 00:19:46.960 have to vet the data because it could be wrong. 377 00:19:47.440 --> 00:19:50.920 You know. As a journalist, I'm tempted, but I'm still 378 00:19:50.960 --> 00:19:53.480 holding off from using AI in my research when I'm 379 00:19:53.480 --> 00:19:56.880 writing an article because one time I dabbled and I'm like, hey, 380 00:19:56.880 --> 00:19:59.799 how many users does WhatsApp have worldwide? And the answer 381 00:19:59.880 --> 00:20:02.640 was three billion, and it was very sure, and it 382 00:20:02.680 --> 00:20:05.119 gave me all these you know, citations, and then it 383 00:20:05.160 --> 00:20:06.880 found out then I found out it was actually two 384 00:20:06.920 --> 00:20:09.400 billion users worldwide, and I'm glad I didn't go with 385 00:20:09.440 --> 00:20:12.640 the three because that's a very big difference in number. 386 00:20:12.720 --> 00:20:15.839 So you have to do you have to cross reference 387 00:20:15.920 --> 00:20:16.319 for sure. 388 00:20:16.480 --> 00:20:18.559 There was an article I read this morning, and I'm 389 00:20:18.599 --> 00:20:21.160 going to talk about Super Bowl commercials coming up in 390 00:20:21.200 --> 00:20:22.960 the next segment, and there was an article about a 391 00:20:23.119 --> 00:20:28.839 Google specific commercial that they used AI to develop. One 392 00:20:28.839 --> 00:20:31.519 guy was using AI to develop an advertisement for his 393 00:20:31.680 --> 00:20:35.640 cheese company, and AI got the statistics wrong about what 394 00:20:35.759 --> 00:20:38.200 kind of cheese is most popular, and that caused a 395 00:20:38.240 --> 00:20:40.799 lot of Uh. Google now has to go back and 396 00:20:40.880 --> 00:20:44.440 change their ad because they just assumed that their own 397 00:20:44.599 --> 00:20:46.240 AI was going to get it right and it got 398 00:20:46.240 --> 00:20:46.599 it wrong. 399 00:20:47.079 --> 00:20:52.680 Yep, Well you know what happens when you assume cheese. Yeah, exactly, 400 00:20:52.799 --> 00:20:56.480 there's holes in your logic. A sorry, cheesy joke. 401 00:20:56.759 --> 00:21:00.200