1 00:00:06,960 --> 00:00:09,360 Speaker 1: Hey, if you want your Tune and timshirt. 2 00:00:08,800 --> 00:00:11,320 Speaker 2: Before you go to Earthday Birthday, you can get it 3 00:00:11,360 --> 00:00:13,960 Speaker 2: by going to real radiomasters dot com. You want your 4 00:00:14,000 --> 00:00:17,600 Speaker 2: Donkey money shirt? How about your MWO wrestling shirt? How 5 00:00:17,600 --> 00:00:19,599 Speaker 2: about your what the Hell's Angel listening to? 6 00:00:19,760 --> 00:00:22,720 Speaker 1: Shirt? Big dumb fun. They got all the stuff. 7 00:00:23,120 --> 00:00:25,960 Speaker 2: Our good friends over a promos for you put them out. 8 00:00:26,160 --> 00:00:29,240 Speaker 2: We have a whole page of awesome merchandise. That's monster 9 00:00:29,400 --> 00:00:32,360 Speaker 2: merch Thank you guys for doing it. I know people 10 00:00:32,440 --> 00:00:34,920 Speaker 2: got their Tuning Tim shirts the other day. 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Welcome back, 27 00:01:20,360 --> 00:01:23,160 Speaker 2: I am Russ Rollins along with Angel Rivera and now 28 00:01:23,160 --> 00:01:25,040 Speaker 2: it's time but the King of Denmark ride Holmes and 29 00:01:25,080 --> 00:01:26,840 Speaker 2: make his daily proclamation. 30 00:01:35,319 --> 00:01:39,200 Speaker 3: Boom boom pit get away. 31 00:01:41,959 --> 00:01:43,840 Speaker 1: Daily proclamation, the. 32 00:01:43,880 --> 00:01:45,840 Speaker 3: King of the Day station and. 33 00:01:55,360 --> 00:02:05,080 Speaker 4: Winter pinging that mart Brody Baye, that mortgage guy down 34 00:02:05,160 --> 00:02:10,080 Speaker 4: from that mortgage guy John dot Come more on that later. 35 00:02:13,400 --> 00:02:15,040 Speaker 3: Getting older is weird, Uh. 36 00:02:15,400 --> 00:02:16,040 Speaker 1: Tell me about it? 37 00:02:16,320 --> 00:02:19,000 Speaker 3: Yeah, I don't. I don't like it. I'm in that point. 38 00:02:19,000 --> 00:02:20,520 Speaker 4: I'm in that point in my life for like, I'm 39 00:02:20,560 --> 00:02:24,639 Speaker 4: officially like get like I'm noticeably older than the generations 40 00:02:24,720 --> 00:02:28,040 Speaker 4: behind me, because it's just they they're references. 41 00:02:28,120 --> 00:02:30,600 Speaker 3: I don't understand anymore that said this would happen to me. 42 00:02:31,360 --> 00:02:35,560 Speaker 4: The references I don't understand, and my references they don't understand. 43 00:02:36,000 --> 00:02:38,640 Speaker 4: And they call my music classic rock and that always 44 00:02:38,720 --> 00:02:41,639 Speaker 4: drives me insane. But I guess it's true and you 45 00:02:41,760 --> 00:02:43,639 Speaker 4: just gotta fight against it, you know, Like I always 46 00:02:43,680 --> 00:02:45,359 Speaker 4: knew that, like my one day my music will. 47 00:02:45,240 --> 00:02:46,640 Speaker 3: Be on the classic rock station. 48 00:02:46,760 --> 00:02:47,079 Speaker 1: We do it. 49 00:02:47,160 --> 00:02:49,040 Speaker 3: We do it here on this station. We have real 50 00:02:49,160 --> 00:02:51,080 Speaker 3: radio classic alternative weekends. 51 00:02:51,120 --> 00:02:52,919 Speaker 4: And I'm like, that song just came out like five 52 00:02:53,000 --> 00:02:54,120 Speaker 4: years ago, what are you talking about? 53 00:02:54,200 --> 00:02:56,560 Speaker 3: And no, it didn't came out in nineteen ninety nine. 54 00:02:56,760 --> 00:02:58,720 Speaker 4: When we did the music the other day, it was 55 00:02:58,880 --> 00:03:02,400 Speaker 4: it was a hard, a hard realization to realize how. 56 00:03:02,320 --> 00:03:04,560 Speaker 3: Old some of those songs were. And I'm like, these 57 00:03:04,600 --> 00:03:06,200 Speaker 3: are the cool songs. What are you talking about? This 58 00:03:06,240 --> 00:03:08,320 Speaker 3: is what cool people listen to, and it's just it's 59 00:03:08,440 --> 00:03:10,560 Speaker 3: not anymore. 60 00:03:11,080 --> 00:03:12,480 Speaker 1: That was fun. We did that the other day on 61 00:03:12,560 --> 00:03:13,400 Speaker 1: Sundays there. 62 00:03:13,520 --> 00:03:16,359 Speaker 4: Although music hasn't actually changed that much, like when my 63 00:03:16,480 --> 00:03:18,560 Speaker 4: nephews listening to music, they still listen to like a 64 00:03:18,639 --> 00:03:21,680 Speaker 4: lot of stuff just because that I listened to, Because 65 00:03:21,720 --> 00:03:24,440 Speaker 4: I just don't think it's changed that much as far 66 00:03:24,480 --> 00:03:28,560 Speaker 4: as like there's no real classic bangers that are going 67 00:03:28,600 --> 00:03:30,400 Speaker 4: to stand the test of time coming out in the 68 00:03:30,480 --> 00:03:31,680 Speaker 4: last like five years. 69 00:03:32,040 --> 00:03:33,679 Speaker 3: I don't you know. 70 00:03:33,840 --> 00:03:36,280 Speaker 5: That's that would be interesting conversation for you to have 71 00:03:37,000 --> 00:03:41,480 Speaker 5: with fourteen, fifteen, and sixteen year old people, because they're 72 00:03:41,520 --> 00:03:43,680 Speaker 5: going to tell you that they are. They just don't 73 00:03:43,720 --> 00:03:44,680 Speaker 5: resonate with us. 74 00:03:45,040 --> 00:03:47,120 Speaker 4: Maybe I've looked them up. I've looked at the charts 75 00:03:47,160 --> 00:03:48,640 Speaker 4: for the last ten years. I was just trying to 76 00:03:48,680 --> 00:03:50,840 Speaker 4: find something that was like, Okay, well, what are people 77 00:03:50,920 --> 00:03:52,760 Speaker 4: still going to be singing in twenty years? 78 00:03:53,520 --> 00:03:55,480 Speaker 3: It's not a lot. I don't and that might be 79 00:03:55,640 --> 00:03:56,200 Speaker 3: me being old. 80 00:03:57,280 --> 00:04:00,560 Speaker 4: Maybe maybe shake it off, but I can see that, 81 00:04:00,720 --> 00:04:04,440 Speaker 4: Like but the movie the music from the sixties, seventies, eighties, 82 00:04:04,480 --> 00:04:06,880 Speaker 4: which is arguably the best decade for music, and I 83 00:04:07,000 --> 00:04:10,119 Speaker 4: wasn't even there for it mostly, But like the nineties, 84 00:04:10,240 --> 00:04:12,880 Speaker 4: two thousands, they all had bangers. It seems like they 85 00:04:12,920 --> 00:04:17,040 Speaker 4: gave up music around twenty ten and then and then 86 00:04:17,080 --> 00:04:18,520 Speaker 4: it's just there's music. 87 00:04:19,200 --> 00:04:21,640 Speaker 3: But are they classics? I say nay. 88 00:04:22,240 --> 00:04:24,600 Speaker 4: But I didn't know this about life because I saw 89 00:04:25,000 --> 00:04:28,120 Speaker 4: I saw a Facebook post where people were talking about. 90 00:04:27,960 --> 00:04:30,559 Speaker 3: Oh, what's your favorite like classic meme? 91 00:04:30,920 --> 00:04:37,040 Speaker 4: Bruh classic to the point classic memes, classic memes. 92 00:04:36,680 --> 00:04:39,800 Speaker 3: Are classic, And it was it was a variety of 93 00:04:39,839 --> 00:04:40,360 Speaker 3: different people. 94 00:04:40,400 --> 00:04:42,800 Speaker 4: It was adults who were there, and then younger people 95 00:04:42,839 --> 00:04:45,280 Speaker 4: were all in this post together, and they all had 96 00:04:45,720 --> 00:04:48,840 Speaker 4: like to call some of them classic, like the new 97 00:04:48,920 --> 00:04:51,880 Speaker 4: Manumaus song, what the New Manumas song. 98 00:04:52,680 --> 00:04:54,320 Speaker 3: You know, remember the new Manuma there it was. 99 00:04:54,400 --> 00:04:55,800 Speaker 4: It was I think it was like the first like 100 00:04:55,960 --> 00:04:58,359 Speaker 4: viral video where it's like a fat kid and. 101 00:04:58,400 --> 00:05:05,600 Speaker 1: Then it's like, hey, yeah, people always used to send 102 00:05:05,640 --> 00:05:05,880 Speaker 1: that to me. 103 00:05:06,040 --> 00:05:06,799 Speaker 3: That's a classic. 104 00:05:06,960 --> 00:05:11,320 Speaker 4: Mean, they're called those like classic memes, the old g 105 00:05:11,440 --> 00:05:12,920 Speaker 4: I Joe, Fake p S A S. 106 00:05:13,480 --> 00:05:16,560 Speaker 3: Trock Door, Hamster Dance, all of these. To the kids 107 00:05:16,880 --> 00:05:18,520 Speaker 3: are like, you're old and you love this. 108 00:05:18,680 --> 00:05:21,120 Speaker 4: It's like saying, I like, it's like my mom talking 109 00:05:21,160 --> 00:05:23,120 Speaker 4: about a song from the fifties when I was a child. 110 00:05:23,240 --> 00:05:25,200 Speaker 3: That's how they view this kind of stuff, and it 111 00:05:25,360 --> 00:05:26,680 Speaker 3: hurts my heart. 112 00:05:29,120 --> 00:05:31,200 Speaker 4: But people do God Like, I always think, like feel 113 00:05:31,240 --> 00:05:33,600 Speaker 4: bad because like the adults always like, oh kids with 114 00:05:33,680 --> 00:05:36,440 Speaker 4: their six seven, how stupid is six seven? We had 115 00:05:36,520 --> 00:05:41,320 Speaker 4: the stupidest stuff and they're always will always. But my 116 00:05:41,440 --> 00:05:43,880 Speaker 4: question to you, Russ is like, like six seven is 117 00:05:43,960 --> 00:05:48,080 Speaker 4: stupid nonsense thing? Yeah, but we had I mean, you 118 00:05:48,160 --> 00:05:50,480 Speaker 4: could argue the new Manuma thing was a dumb the 119 00:05:50,800 --> 00:05:55,280 Speaker 4: Hamster dance was dumb. Leroy Jenkins dumb remember that. But 120 00:05:55,720 --> 00:05:57,760 Speaker 4: did you have these kind of things growing up? What 121 00:05:57,960 --> 00:06:03,400 Speaker 4: was the six seven of your childhood? Something that like 122 00:06:03,520 --> 00:06:06,000 Speaker 4: didn't make sense to an adult, because I'm curious, is 123 00:06:06,040 --> 00:06:08,720 Speaker 4: this a new phenomenon something that happened with the birth 124 00:06:08,760 --> 00:06:11,080 Speaker 4: of the Internet, where nonsensical humor became a thing. 125 00:06:11,200 --> 00:06:13,160 Speaker 1: I remember some things that we would say. My dad 126 00:06:13,240 --> 00:06:14,360 Speaker 1: was like, what is that supposed to mean? 127 00:06:14,440 --> 00:06:18,880 Speaker 2: Like, like, for whatever reason in nineteen seventy nine in 128 00:06:19,000 --> 00:06:22,000 Speaker 2: Lockhart Junior High School, you know, we'd say, oh, it's gangster, 129 00:06:22,240 --> 00:06:23,560 Speaker 2: and I don't even know what you know, I don't 130 00:06:23,560 --> 00:06:25,560 Speaker 2: know what I was supposed to mean. But and my 131 00:06:25,640 --> 00:06:26,880 Speaker 2: dad was like, what does that mean? Like, I don't 132 00:06:26,920 --> 00:06:29,400 Speaker 2: know it's supposed to I guess means it's cool, Dad, 133 00:06:29,440 --> 00:06:29,760 Speaker 2: I don't know. 134 00:06:29,920 --> 00:06:33,159 Speaker 3: I got one for you, okay, hit me word word 135 00:06:33,279 --> 00:06:34,560 Speaker 3: word Okay. 136 00:06:35,080 --> 00:06:38,280 Speaker 5: That would infuriate my parents so much when they heard that, 137 00:06:38,400 --> 00:06:40,000 Speaker 5: because they're like, what does that mean? I was like, 138 00:06:40,080 --> 00:06:42,680 Speaker 5: it's word, and they're like, well, what do you mean word? 139 00:06:43,080 --> 00:06:45,320 Speaker 5: Why does word not mean word anymore? I was like, no, 140 00:06:45,480 --> 00:06:46,160 Speaker 5: word is word? 141 00:06:46,600 --> 00:06:48,719 Speaker 3: Okay. When I was a kid, they used to call 142 00:06:48,800 --> 00:06:52,240 Speaker 3: everybody a git. Yeah that was a Florida but that's 143 00:06:52,279 --> 00:06:54,520 Speaker 3: still a Florida thing. I found out that's the Florida. 144 00:06:54,600 --> 00:06:56,360 Speaker 4: I saw a video where like kids they were still 145 00:06:56,440 --> 00:06:59,840 Speaker 4: calling young kids JITs, and I was like, I'm so 146 00:07:00,200 --> 00:07:02,239 Speaker 4: fun that that that's the one that's stuck around. 147 00:07:03,000 --> 00:07:05,320 Speaker 1: But uh so there wasn't just made up words. 148 00:07:05,920 --> 00:07:08,760 Speaker 4: I mean, you have one that you say every day, Charles, Yeah, 149 00:07:08,839 --> 00:07:09,680 Speaker 4: that means nothing. 150 00:07:09,840 --> 00:07:11,800 Speaker 2: Well bow and I bow and I used say it 151 00:07:11,960 --> 00:07:14,760 Speaker 2: just made it up. And we're like, we're sticking with 152 00:07:14,880 --> 00:07:16,280 Speaker 2: it until it until. 153 00:07:16,080 --> 00:07:16,640 Speaker 1: It takes off. 154 00:07:16,760 --> 00:07:20,440 Speaker 4: Damn stop texting ancient memes because it's like the I mean, 155 00:07:20,520 --> 00:07:22,200 Speaker 4: remember the three D Dancing Babies? 156 00:07:22,240 --> 00:07:22,520 Speaker 1: Thank you? 157 00:07:22,640 --> 00:07:25,000 Speaker 6: I was gonna say that was that's right in mynd 158 00:07:25,280 --> 00:07:25,800 Speaker 6: that's the o G. 159 00:07:25,960 --> 00:07:28,840 Speaker 3: Right, three D Dancing Baby was on Ally McBeal. 160 00:07:29,280 --> 00:07:31,880 Speaker 1: Oh that's right, remember that, that's right. 161 00:07:32,080 --> 00:07:34,240 Speaker 3: It was a big deal that it was on Ally McBeal. 162 00:07:34,280 --> 00:07:37,240 Speaker 4: But it was just some weird screen saver that like 163 00:07:37,560 --> 00:07:40,680 Speaker 4: that that caught on And now these are classic memes. 164 00:07:40,920 --> 00:07:43,360 Speaker 4: There will soon be russ much in the way there's 165 00:07:43,360 --> 00:07:45,520 Speaker 4: a rock and roll Hall of Fame, there will be 166 00:07:45,760 --> 00:07:47,320 Speaker 4: a meme hall of fame. 167 00:07:47,480 --> 00:07:48,960 Speaker 3: No, yes, I got the one. 168 00:07:49,200 --> 00:07:50,840 Speaker 6: I got one of the classic memes on this computer. 169 00:07:50,920 --> 00:07:51,840 Speaker 3: Here, what do you got? 170 00:07:52,080 --> 00:07:56,000 Speaker 6: Spinning boobs made out of emoticon? Hey? 171 00:07:56,120 --> 00:07:59,800 Speaker 1: Was was Max Headroom a meme or is that just headroom? 172 00:08:00,640 --> 00:08:02,240 Speaker 3: Wasn't that a show? I've never been clear on what 173 00:08:02,360 --> 00:08:03,080 Speaker 3: Max Hedroom wore. 174 00:08:03,160 --> 00:08:04,080 Speaker 6: It was a show character. 175 00:08:04,200 --> 00:08:06,080 Speaker 1: It was just some goofy head and I thought it 176 00:08:06,120 --> 00:08:08,040 Speaker 1: was a meme, but I just thought it was before memes. 177 00:08:08,280 --> 00:08:10,920 Speaker 4: Yeah, I mean, like I was watching a thing about 178 00:08:10,960 --> 00:08:12,960 Speaker 4: the Ninja Turtles. It's kind of what made me think 179 00:08:12,960 --> 00:08:16,080 Speaker 4: about this. So the Ninja Turtles two Secret of the 180 00:08:16,160 --> 00:08:20,440 Speaker 4: Ooze Right was technically a less success than the original 181 00:08:20,560 --> 00:08:23,880 Speaker 4: Ninja Turtles movie, but it was still my favorite movie. 182 00:08:24,480 --> 00:08:27,440 Speaker 4: And they there were parents that were mad at the 183 00:08:27,560 --> 00:08:30,880 Speaker 4: time that like kids were imitating the Ninja Turtles. They 184 00:08:30,920 --> 00:08:33,839 Speaker 4: were all become little like Ninja's and I remember that 185 00:08:34,000 --> 00:08:36,640 Speaker 4: being a time and being a thing. But also I 186 00:08:36,679 --> 00:08:38,920 Speaker 4: would just yell the stuff Ninja Turtles would yell, things 187 00:08:38,960 --> 00:08:39,840 Speaker 4: like cowabunga. 188 00:08:40,080 --> 00:08:42,040 Speaker 3: I didn't know what a cowabunga was. I just know 189 00:08:42,160 --> 00:08:44,000 Speaker 3: you say it and you just yell it. 190 00:08:45,320 --> 00:08:46,280 Speaker 6: Yeah, I made fun of you. 191 00:08:48,040 --> 00:08:50,800 Speaker 4: It's just it's just it's just funny that like when 192 00:08:50,840 --> 00:08:53,199 Speaker 4: you get old, everything gets sold, all the things you 193 00:08:53,280 --> 00:08:56,480 Speaker 4: don't think about. It's like, Okay, well, I guess I'm 194 00:08:56,480 --> 00:08:58,240 Speaker 4: gonna have my Meme Hall of Fame, because I would 195 00:08:58,240 --> 00:08:59,600 Speaker 4: go much like you want to go to the Rock 196 00:08:59,640 --> 00:09:03,640 Speaker 4: and Roll I would go to the Meme Hall of Fame. 197 00:09:03,720 --> 00:09:04,920 Speaker 3: I would want I would vote. 198 00:09:05,040 --> 00:09:08,200 Speaker 4: I hope there's a fan vote where Charlie the Unicorn 199 00:09:08,240 --> 00:09:10,040 Speaker 4: gets voted in and I help. 200 00:09:09,920 --> 00:09:11,079 Speaker 3: Him out doing that. 201 00:09:11,440 --> 00:09:14,720 Speaker 1: Problem is we got to go to Cleveland, Man Rock. 202 00:09:14,880 --> 00:09:17,320 Speaker 3: Or the Meme Hall of Fame here in Florida. Yea, yeah, 203 00:09:17,880 --> 00:09:19,520 Speaker 3: I don't know. This is fun. 204 00:09:19,640 --> 00:09:22,120 Speaker 4: It's a fun and different time back then, and I 205 00:09:22,160 --> 00:09:23,640 Speaker 4: don't know if it was better or worse. 206 00:09:23,800 --> 00:09:25,800 Speaker 3: It feels better. It feels like my time was better. 207 00:09:26,080 --> 00:09:30,839 Speaker 3: But uh, I never know. I'll never know. Let me 208 00:09:30,880 --> 00:09:31,280 Speaker 3: ask you this. 209 00:09:31,760 --> 00:09:31,960 Speaker 1: Yeah. 210 00:09:32,320 --> 00:09:34,280 Speaker 4: I also came across this list too on how to 211 00:09:34,400 --> 00:09:38,240 Speaker 4: tell if someone's immediately a bad person? Okay, just from 212 00:09:38,320 --> 00:09:41,079 Speaker 4: like things that they say in conversation, uh huh, And 213 00:09:41,480 --> 00:09:44,319 Speaker 4: I am like a I have like a radar for that. 214 00:09:44,480 --> 00:09:47,280 Speaker 4: I've never been able to quantify the things that people 215 00:09:47,360 --> 00:09:49,679 Speaker 4: do where I'm like, oh, that's a bad person, and 216 00:09:49,840 --> 00:09:51,800 Speaker 4: like this has happened to my friend groups all the time, 217 00:09:52,120 --> 00:09:54,000 Speaker 4: where somebody would come in and be like, no, that 218 00:09:54,120 --> 00:09:57,160 Speaker 4: guy sucks. Never go Ryan Matt's so great. 219 00:09:57,240 --> 00:09:58,079 Speaker 3: What is you're wrong? 220 00:09:58,120 --> 00:10:00,839 Speaker 4: I'm like, you just wait, you just wait, And I 221 00:10:00,920 --> 00:10:04,880 Speaker 4: think that's mutism superpower. Uh as far as like how 222 00:10:04,960 --> 00:10:09,000 Speaker 4: that goes right, But their things, they're signed to look 223 00:10:09,040 --> 00:10:11,640 Speaker 4: out for people, and you can tell it yourself too. 224 00:10:11,720 --> 00:10:13,760 Speaker 3: You can tell you can tell people right away with 225 00:10:13,880 --> 00:10:14,600 Speaker 3: some of these things. 226 00:10:15,720 --> 00:10:18,920 Speaker 4: So if I meet somebody and they start talking about 227 00:10:18,960 --> 00:10:20,280 Speaker 4: how impressive. 228 00:10:19,920 --> 00:10:23,960 Speaker 3: They are right out the gate, bad Yeah, bad sign. 229 00:10:24,559 --> 00:10:27,480 Speaker 3: There's a difference between life and I know someone who 230 00:10:27,559 --> 00:10:28,480 Speaker 3: does that all the time. 231 00:10:30,320 --> 00:10:32,720 Speaker 4: If it's all about them and their accomplishments right out 232 00:10:32,760 --> 00:10:35,240 Speaker 4: the gates and you haven't said so much is good morning? 233 00:10:35,320 --> 00:10:37,160 Speaker 1: Yeah, and you can't get a word in edgeways. 234 00:10:37,840 --> 00:10:42,000 Speaker 3: Yeah, I don't know who you're talking about, but yeah. 235 00:10:44,400 --> 00:10:46,680 Speaker 4: The other one for me is this, whenever somebody goes 236 00:10:46,760 --> 00:10:49,240 Speaker 4: I'm an mpath, I'm like, no, you're an asshole. 237 00:10:49,480 --> 00:10:51,880 Speaker 3: I don't know what it is. Every time I've met somebody. 238 00:10:53,640 --> 00:10:56,440 Speaker 4: Path is a person who says that they like feel 239 00:10:56,520 --> 00:10:58,760 Speaker 4: your emotions and and they're like, oh, I just I 240 00:10:58,840 --> 00:11:00,000 Speaker 4: really feel everybody's emotions. 241 00:11:00,000 --> 00:11:01,240 Speaker 3: I'm an m path and I'm. 242 00:11:01,120 --> 00:11:04,280 Speaker 4: Like, you're a psycho. Those people always turn out bad 243 00:11:04,320 --> 00:11:06,520 Speaker 4: to me, for some reason. And then the third one 244 00:11:06,559 --> 00:11:08,640 Speaker 4: you got to look out for. There's a whole list 245 00:11:08,679 --> 00:11:10,680 Speaker 4: of like ten of these. I'm snarrowing this down to three, 246 00:11:10,800 --> 00:11:13,040 Speaker 4: the top three. If somebody goes and you just met 247 00:11:13,120 --> 00:11:16,120 Speaker 4: him recently and they go, I'm just a brutally honest person. 248 00:11:16,320 --> 00:11:22,120 Speaker 1: Oh yeah, that means I'm giving a Yeah I don't care. Yeah, yeah, yeah, 249 00:11:22,160 --> 00:11:24,040 Speaker 1: you're you're right about that, you were right about that. 250 00:11:24,200 --> 00:11:26,600 Speaker 2: But if they're telling you how just brutally honest they are, 251 00:11:26,679 --> 00:11:28,959 Speaker 2: that means I don't have enough sense to say the 252 00:11:29,080 --> 00:11:30,480 Speaker 2: proper things at the proper time. 253 00:11:30,960 --> 00:11:33,959 Speaker 1: Uh So I'm gonna tell you that I'm brutally honest. Yeah, 254 00:11:34,400 --> 00:11:34,839 Speaker 1: screw that. 255 00:11:35,320 --> 00:11:37,640 Speaker 4: I don't know what that is, because I I I 256 00:11:37,760 --> 00:11:40,200 Speaker 4: will be honest with you as a person, Like I'm 257 00:11:40,240 --> 00:11:42,040 Speaker 4: the guy that will tell you you have a booger in. 258 00:11:42,040 --> 00:11:43,120 Speaker 3: Your nose if we just met. 259 00:11:43,360 --> 00:11:45,160 Speaker 1: Yeah, you can be honest, you could be honest. 260 00:11:45,200 --> 00:11:49,240 Speaker 4: But when you go for some reason, those brutally honest people, yeah, 261 00:11:49,360 --> 00:11:50,439 Speaker 4: they're the worst. 262 00:11:50,679 --> 00:11:51,520 Speaker 1: They're terrible people. 263 00:11:51,679 --> 00:11:56,560 Speaker 4: Yea, of all times, you know what, the same people 264 00:11:56,559 --> 00:11:58,520 Speaker 4: who like to tell you when people died, I tell you. 265 00:11:58,520 --> 00:11:59,640 Speaker 2: One of the things that I don't know this on 266 00:11:59,679 --> 00:12:01,320 Speaker 2: your list or whatever. One of the reasons I knew 267 00:12:01,440 --> 00:12:04,200 Speaker 2: Ellen was a bad person was because all she liked 268 00:12:04,240 --> 00:12:06,160 Speaker 2: to do is scare people like and. 269 00:12:06,559 --> 00:12:09,400 Speaker 1: Oh it's so funny. I'm I'm making you look silly. 270 00:12:09,520 --> 00:12:11,960 Speaker 1: But then Ellen would never look silly. I'm gonna embarrass 271 00:12:12,080 --> 00:12:14,640 Speaker 1: everybody that comes in. I knew she was a bad person. 272 00:12:14,760 --> 00:12:16,800 Speaker 1: Oh yeah, and I was saying it way before anyone 273 00:12:17,080 --> 00:12:17,880 Speaker 1: when everyone. 274 00:12:17,640 --> 00:12:21,200 Speaker 2: Loved Ellen and then Elon must come back. I knew 275 00:12:21,240 --> 00:12:24,880 Speaker 2: Elon Musk was a bad person too. I caught on 276 00:12:25,040 --> 00:12:27,559 Speaker 2: him as well. I think I'm pretty good sometimes of 277 00:12:27,679 --> 00:12:30,280 Speaker 2: picking up people that end up being pieces of s. 278 00:12:30,520 --> 00:12:32,640 Speaker 4: Yeah, so get out there, be on the lookout for 279 00:12:32,760 --> 00:12:35,480 Speaker 4: those kind of people listeners, because it's important you keep 280 00:12:35,520 --> 00:12:39,000 Speaker 4: those people far far away from you. But somebody who 281 00:12:39,040 --> 00:12:41,800 Speaker 4: do want close to you is that mortgage guy Don 282 00:12:41,880 --> 00:12:44,360 Speaker 4: from that mortgage guy don dot com. He's got all 283 00:12:44,440 --> 00:12:47,679 Speaker 4: the hot fire memes at that mortgage guy done dot com. 284 00:12:47,840 --> 00:12:51,319 Speaker 4: You know the meme about us, he locks, Oh, it's 285 00:12:51,360 --> 00:12:56,520 Speaker 4: so good. The memes about traditional mortgages. Crazy, those aren't real, No, 286 00:12:56,720 --> 00:12:59,000 Speaker 4: none of those are real. It's just information. And he's 287 00:12:59,000 --> 00:13:01,720 Speaker 4: got to compare Quoteculator, which is fantastic. Guarady out there 288 00:13:01,720 --> 00:13:04,160 Speaker 4: shopping for quote. Most people don't actually compare their quote. 289 00:13:04,280 --> 00:13:07,240 Speaker 4: It's crazy. You could be saving thousands and thousands of dollars. 290 00:13:07,320 --> 00:13:09,880 Speaker 4: Go to that mortgage guide done dot com. Don't miss 291 00:13:09,880 --> 00:13:11,720 Speaker 4: the boat. Compare a quote with that mortgage guide Done. 292 00:13:11,760 --> 00:13:12,559 Speaker 3: And so it shall be. 293 00:13:12,840 --> 00:13:15,319 Speaker 1: Would you like to leave us a message? Well, you 294 00:13:15,440 --> 00:13:17,520 Speaker 1: have an invitation to do it right now. If you 295 00:13:17,600 --> 00:13:19,640 Speaker 1: listen on the iHeartRadio app, you're going to see a 296 00:13:19,679 --> 00:13:20,720 Speaker 1: little baby microphone. 297 00:13:20,920 --> 00:13:22,520 Speaker 2: Click on that little baby of microhone. It's up in 298 00:13:22,520 --> 00:13:24,920 Speaker 2: the right hand corner. Click on it. You think you yeah, 299 00:13:24,960 --> 00:13:27,160 Speaker 2: thirty seconds to leave us a message. Speak clearly so 300 00:13:27,280 --> 00:13:28,679 Speaker 2: we can hear you. Give us your name. We like 301 00:13:28,720 --> 00:13:30,120 Speaker 2: to know who you are, and you can leave us 302 00:13:30,120 --> 00:13:32,640 Speaker 2: a message. Whether it's a question for the show, whether 303 00:13:32,679 --> 00:13:34,640 Speaker 2: it's something you want to tell angels, something you want 304 00:13:34,679 --> 00:13:37,000 Speaker 2: to tell Ryan or me. You can do that now. 305 00:13:37,200 --> 00:13:38,760 Speaker 2: We'll play those coming up here in a little bit. 306 00:13:38,920 --> 00:13:54,800 Speaker 2: You're listening to the mantra of the morning, and I 307 00:13:54,960 --> 00:13:57,720 Speaker 2: was packed with something to do yesterday. Today's no plans, 308 00:13:58,240 --> 00:14:01,120 Speaker 2: not one plan, nothing to my wife's working until ten 309 00:14:01,160 --> 00:14:04,560 Speaker 2: o'clock to night hit the I'm gonna hit the lake. 310 00:14:04,600 --> 00:14:06,760 Speaker 2: I think i'ma I'm gonna go catch a bass. Maybe 311 00:14:06,800 --> 00:14:10,400 Speaker 2: it was bass fishing Day. Welcome back to the Monster's 312 00:14:10,400 --> 00:14:12,200 Speaker 2: Mornings for Alredyo one on four point one. I am 313 00:14:12,280 --> 00:14:15,000 Speaker 2: Russ Rylands along with Angel Rivera and Ryan Holmes. Okay, 314 00:14:16,360 --> 00:14:18,480 Speaker 2: I don't know what to listen. I am not the 315 00:14:18,600 --> 00:14:22,160 Speaker 2: guy like that Ryan is. It's like anti you know, 316 00:14:22,280 --> 00:14:25,000 Speaker 2: AI everything anti the robots and all that kind of stuff. 317 00:14:25,040 --> 00:14:29,080 Speaker 2: I'm not that guy. I can see that it could 318 00:14:29,120 --> 00:14:31,520 Speaker 2: be useful if you use it for to help you. 319 00:14:31,760 --> 00:14:33,680 Speaker 2: It can be useful, you know. Obviously I don't want 320 00:14:33,720 --> 00:14:38,080 Speaker 2: to take over. But I saw this at the Monster 321 00:14:38,200 --> 00:14:41,320 Speaker 2: Truck Show at the Monster Jam and and now I 322 00:14:41,480 --> 00:14:45,920 Speaker 2: see that you can hire them to come to your 323 00:14:46,520 --> 00:14:49,720 Speaker 2: birthday party for your kids. And I think this is 324 00:14:49,840 --> 00:14:52,360 Speaker 2: creepy and and let's show it to you here. It's 325 00:14:52,520 --> 00:14:55,360 Speaker 2: it's all this sound to it. It's a robot show 326 00:14:55,880 --> 00:14:57,520 Speaker 2: for your kids. I don't know if you can see 327 00:14:57,600 --> 00:14:59,400 Speaker 2: this on my phone? Can you see it? 328 00:14:59,480 --> 00:14:59,720 Speaker 6: Ryan? 329 00:15:00,200 --> 00:15:02,320 Speaker 1: Uh, it's a robot show for your kids. 330 00:15:02,400 --> 00:15:05,680 Speaker 2: So they've dressed up these robots to they can make 331 00:15:05,720 --> 00:15:08,400 Speaker 2: them look kind of cute, or whatever. And then they've 332 00:15:08,440 --> 00:15:10,880 Speaker 2: got one full on robot that's dressed like a cowboy 333 00:15:11,000 --> 00:15:14,200 Speaker 2: that's dancing and stuff, and it's almost like they're trying 334 00:15:14,240 --> 00:15:19,360 Speaker 2: to indoctrinate the kids into, you know, accepting the robots. 335 00:15:19,760 --> 00:15:20,840 Speaker 1: Have you seen this yet? 336 00:15:21,360 --> 00:15:21,880 Speaker 6: I have not. 337 00:15:22,200 --> 00:15:23,520 Speaker 2: How much do you think it costs to have a 338 00:15:23,680 --> 00:15:27,040 Speaker 2: robot party at your at your kids at kid's birthday? 339 00:15:29,000 --> 00:15:31,960 Speaker 2: How much would you be willing to pay angel kid's birthday? 340 00:15:32,120 --> 00:15:34,720 Speaker 2: They get a little robots dancing and it's it's kind 341 00:15:34,760 --> 00:15:37,440 Speaker 2: of like the ones from Boston Dynamic, Like it's a dog, 342 00:15:37,520 --> 00:15:39,920 Speaker 2: it's the dog, and it's the cowboy. It's a real, 343 00:15:40,040 --> 00:15:43,040 Speaker 2: full on like humanoid dancing the cowboy. 344 00:15:43,240 --> 00:15:44,800 Speaker 6: I'd be willing to pay fifty bucks an hour. 345 00:15:44,880 --> 00:15:46,480 Speaker 1: You say fifty bucks an hour and only be there 346 00:15:46,480 --> 00:15:50,120 Speaker 1: for one hour? You see, get fifty bucks? What about you, Ryan? 347 00:15:50,200 --> 00:15:52,200 Speaker 1: Would you pay if you had a kid's birthday? 348 00:15:53,040 --> 00:15:56,320 Speaker 3: I don't know what birthday parties for children costs. 349 00:15:56,280 --> 00:16:01,240 Speaker 6: So, uh, you know it's a little bit under ten brand. 350 00:16:01,360 --> 00:16:08,280 Speaker 3: Oh well, it's four hundred bucks to have a robot come. 351 00:16:09,000 --> 00:16:11,200 Speaker 2: They dress him up like a cowboy and he dances 352 00:16:11,240 --> 00:16:14,120 Speaker 2: for the kids. And when I saw kids at the 353 00:16:14,440 --> 00:16:17,720 Speaker 2: Monster Truck Show petting this robot dog. 354 00:16:18,680 --> 00:16:21,320 Speaker 1: It felt creepy. I was like, Oh, that's weird. 355 00:16:21,440 --> 00:16:24,000 Speaker 2: It's like we're trying to make them think, oh, robots 356 00:16:24,000 --> 00:16:27,920 Speaker 2: are sweet, you know, and there is that underlying thing 357 00:16:27,960 --> 00:16:30,320 Speaker 2: where we've seen him in movies where they all end 358 00:16:30,440 --> 00:16:31,680 Speaker 2: up turning evil on you, you know. 359 00:16:32,560 --> 00:16:35,520 Speaker 1: But this is a robot show at your kid's birthday 360 00:16:35,640 --> 00:16:36,560 Speaker 1: that you can get. 361 00:16:37,240 --> 00:16:39,960 Speaker 2: Which is a little weird. I didn't know you could 362 00:16:40,000 --> 00:16:41,400 Speaker 2: do that, but you can do that now if you 363 00:16:41,440 --> 00:16:45,040 Speaker 2: want to. And then the next thing is that another 364 00:16:45,160 --> 00:16:48,960 Speaker 2: kind of an AI story. Would you allow your AI 365 00:16:49,840 --> 00:16:53,200 Speaker 2: to give you financial advice? I mean, because AI is 366 00:16:53,320 --> 00:16:57,520 Speaker 2: strictly logic. It's not you know, emotional, it's like, strictly logic. 367 00:16:57,840 --> 00:16:59,600 Speaker 6: That's okay, I get what you're saying. 368 00:17:00,440 --> 00:17:02,720 Speaker 5: And there's some apps out there that are being powered 369 00:17:02,720 --> 00:17:04,440 Speaker 5: by AI right now for financial advice. 370 00:17:04,600 --> 00:17:06,639 Speaker 6: Yeah, yeah, Would you trust it? 371 00:17:06,840 --> 00:17:06,879 Speaker 4: No? 372 00:17:07,119 --> 00:17:07,520 Speaker 1: You would not. 373 00:17:07,720 --> 00:17:08,119 Speaker 6: I would not. 374 00:17:08,440 --> 00:17:11,359 Speaker 2: It says here that fifty two percent of people would 375 00:17:12,160 --> 00:17:13,280 Speaker 2: allow Tell me why you. 376 00:17:13,320 --> 00:17:17,280 Speaker 6: Wouldn't because exactly what you just said. 377 00:17:17,680 --> 00:17:21,200 Speaker 5: You're like, oh, AI is just logic, and and that's 378 00:17:21,280 --> 00:17:24,000 Speaker 5: not the AI that exists right now, the AI that 379 00:17:24,200 --> 00:17:25,400 Speaker 5: exists right now? 380 00:17:25,960 --> 00:17:26,320 Speaker 6: Is AI? 381 00:17:26,440 --> 00:17:29,680 Speaker 5: That is, it's stealing the information from other parts of 382 00:17:29,760 --> 00:17:33,840 Speaker 5: the Internet and coming back and doing this AI. Intuitive 383 00:17:33,920 --> 00:17:37,240 Speaker 5: AI is not there yet. I'm sure it's coming. I'm 384 00:17:37,280 --> 00:17:40,119 Speaker 5: sure it's right around the corner. But again that intuitive 385 00:17:40,280 --> 00:17:42,960 Speaker 5: AI is learning off of what's on the internet. So 386 00:17:43,040 --> 00:17:46,400 Speaker 5: I would much rather trust a human being who has 387 00:17:46,520 --> 00:17:49,520 Speaker 5: experienced Like, if you're telling me my choices are AI 388 00:17:49,720 --> 00:17:52,080 Speaker 5: or trajan wealth, I'm going to trading wealth right right, 389 00:17:52,200 --> 00:17:54,320 Speaker 5: if you're trusting if you're telling me it's AI, or 390 00:17:54,440 --> 00:17:57,040 Speaker 5: go see Ryan's. 391 00:17:56,720 --> 00:17:59,320 Speaker 3: Guy, Scott Brown, Scott Brown. 392 00:17:59,400 --> 00:18:00,640 Speaker 6: I'm going to go Scott Brown. 393 00:18:00,840 --> 00:18:02,800 Speaker 1: So that's question when it comes to A. I. I 394 00:18:02,920 --> 00:18:04,200 Speaker 1: know they've got the new one. 395 00:18:04,359 --> 00:18:06,919 Speaker 2: That is that that was getting in trouble with uh 396 00:18:07,480 --> 00:18:13,720 Speaker 2: what's Twitter and X but Kunkrockrunk And I'm seeing that 397 00:18:14,080 --> 00:18:16,439 Speaker 2: that's that's being advertised on my social media's coming up 398 00:18:16,440 --> 00:18:17,560 Speaker 2: all the time, like sign up for that? 399 00:18:17,640 --> 00:18:17,960 Speaker 1: Sign up? 400 00:18:18,440 --> 00:18:22,920 Speaker 2: What is the difference between that and chat chept? Different models, 401 00:18:23,280 --> 00:18:26,560 Speaker 2: but I mean it's the same the same outcome, right. 402 00:18:26,680 --> 00:18:29,720 Speaker 4: No, No, they're different models, so that they're trained on 403 00:18:30,280 --> 00:18:32,840 Speaker 4: different data and in a different way. 404 00:18:33,080 --> 00:18:35,080 Speaker 1: Is one smarter than the other? Better than the other. 405 00:18:35,240 --> 00:18:37,560 Speaker 4: All of these models are constantly being revamped and they're 406 00:18:37,600 --> 00:18:38,639 Speaker 4: going up against each other. 407 00:18:38,760 --> 00:18:40,880 Speaker 3: So the answer to your question is yes, at. 408 00:18:40,760 --> 00:18:44,159 Speaker 4: Any given time, one smarter than another, depending on what 409 00:18:44,240 --> 00:18:46,440 Speaker 4: you're going for, Like some do coding better, some do 410 00:18:46,560 --> 00:18:50,400 Speaker 4: image generation better, some do straight talking to you better. 411 00:18:50,560 --> 00:18:51,280 Speaker 6: Some of them like that. 412 00:18:51,359 --> 00:18:54,040 Speaker 5: There's one out there right now that the Hollywood is 413 00:18:54,119 --> 00:18:56,679 Speaker 5: terrified about that is ripping off movies. They went out 414 00:18:56,960 --> 00:18:58,760 Speaker 5: one of the high we haven't talked. 415 00:18:58,560 --> 00:19:01,080 Speaker 4: About King AI and and I think is what they're called. 416 00:19:01,119 --> 00:19:03,520 Speaker 4: They're they're just you can make full ass movies. 417 00:19:03,960 --> 00:19:06,720 Speaker 5: There's a video clip out there right now, it's on YouTube. 418 00:19:06,760 --> 00:19:09,960 Speaker 5: It's one of the highest viewed clips out there, and 419 00:19:10,080 --> 00:19:12,960 Speaker 5: it's Tom Cruise in a fight scene with Brad Pitt. 420 00:19:13,119 --> 00:19:16,959 Speaker 5: Completely completely fake, never happened, completely fake generated. 421 00:19:17,200 --> 00:19:17,679 Speaker 1: It looks real. 422 00:19:18,000 --> 00:19:18,480 Speaker 6: Use my AI. 423 00:19:18,600 --> 00:19:21,320 Speaker 5: But again that went out to the internet, scoured all this, 424 00:19:21,600 --> 00:19:25,200 Speaker 5: all the real art and maybe compile this thing. The 425 00:19:25,280 --> 00:19:27,399 Speaker 5: guys over there at full sale. They're terrified of this 426 00:19:27,640 --> 00:19:32,640 Speaker 5: because again it's ripping people off. You're robbing other artists, 427 00:19:33,440 --> 00:19:35,160 Speaker 5: and Hollywood is terrified of this thing. 428 00:19:35,840 --> 00:19:38,879 Speaker 4: This is a yeah, that's all this And I was like, oh, 429 00:19:38,920 --> 00:19:42,920 Speaker 4: what a fun trailer for Uh that is that is 430 00:19:43,040 --> 00:19:45,040 Speaker 4: completely that's all of that. 431 00:19:45,720 --> 00:19:46,560 Speaker 3: Wow cool on that. 432 00:19:47,000 --> 00:19:49,879 Speaker 4: Yeah, you know, I'm saying like it's over. I've been 433 00:19:50,000 --> 00:19:52,960 Speaker 4: yelling about this. All the yelling feels like it doesn't matter. 434 00:19:53,240 --> 00:19:56,040 Speaker 2: So okay, and I understand exactly what you're saying about 435 00:19:56,040 --> 00:19:59,680 Speaker 2: stealing art. What about though, if you're using chat shept 436 00:19:59,880 --> 00:20:02,840 Speaker 2: or wrong or whatever for ideas for helping you write 437 00:20:03,760 --> 00:20:05,160 Speaker 2: letters or helping you write. 438 00:20:05,160 --> 00:20:07,320 Speaker 4: As a tool as a tool, Yeah, but also now 439 00:20:07,359 --> 00:20:10,919 Speaker 4: as running drones and killing people like it's literally terminators now, 440 00:20:11,000 --> 00:20:14,080 Speaker 4: So like that's that's the other problem with it as well. 441 00:20:14,240 --> 00:20:14,520 Speaker 3: I don't know. 442 00:20:14,600 --> 00:20:16,520 Speaker 4: It's gonna kill the music industry, it's going to kill 443 00:20:16,560 --> 00:20:18,840 Speaker 4: the movie industry. It's gonna kill a lot of different stuff. 444 00:20:19,240 --> 00:20:20,800 Speaker 4: Do you think we have no backup plan? 445 00:20:20,960 --> 00:20:23,840 Speaker 2: The mast question? Do you think it's it's best to realize? Okay, 446 00:20:24,160 --> 00:20:26,000 Speaker 2: genies out of the bottle, can't put it, put it 447 00:20:26,080 --> 00:20:28,560 Speaker 2: back in, So let's learn how to manipulate it properly. 448 00:20:28,800 --> 00:20:30,040 Speaker 3: Why can't we put it back in? 449 00:20:30,160 --> 00:20:33,080 Speaker 4: Why can't we hold the companies that stole the did 450 00:20:33,119 --> 00:20:38,000 Speaker 4: the massive the largest copyright theft in history, the facebooks 451 00:20:38,040 --> 00:20:41,040 Speaker 4: have openly admitted they did stolen copies they pirated from 452 00:20:41,040 --> 00:20:43,879 Speaker 4: the Internet of books. Why can't we hold these companies 453 00:20:44,800 --> 00:20:46,439 Speaker 4: responsible instead of just throwing arms in them. 454 00:20:46,640 --> 00:20:47,320 Speaker 3: Nothing we can do? 455 00:20:47,720 --> 00:20:48,200 Speaker 1: What do you think? 456 00:20:48,240 --> 00:20:50,439 Speaker 2: Then ask the question, So you if you're a president 457 00:20:50,480 --> 00:20:53,240 Speaker 2: of the world, you're you're you're president, You're gonna go 458 00:20:53,440 --> 00:20:56,280 Speaker 2: to the AI companies and you say, listen, shut. 459 00:20:56,160 --> 00:20:56,640 Speaker 1: It all down. 460 00:20:56,760 --> 00:20:57,600 Speaker 3: We can cut it down. 461 00:20:57,880 --> 00:20:59,720 Speaker 2: Really, And do you think that? I mean, and it's 462 00:20:59,760 --> 00:21:02,479 Speaker 2: and and we're talking billions of dollars in this. I mean, 463 00:21:02,480 --> 00:21:05,159 Speaker 2: there's no not good for humanity. It uses way too 464 00:21:05,280 --> 00:21:05,840 Speaker 2: much power. 465 00:21:06,080 --> 00:21:08,480 Speaker 4: We're not having to build these giant data centers in 466 00:21:08,560 --> 00:21:11,240 Speaker 4: the that are killing these communities around it and poisoning 467 00:21:11,280 --> 00:21:14,120 Speaker 4: the water. It does not seem like whatever this version 468 00:21:14,160 --> 00:21:17,240 Speaker 4: of AI is isn't the answer. Maybe we'll get there 469 00:21:17,280 --> 00:21:18,600 Speaker 4: one day. Maybe you have to do this as a 470 00:21:18,640 --> 00:21:19,280 Speaker 4: stepping stone. 471 00:21:19,359 --> 00:21:20,920 Speaker 3: I don't know. But if I'm president of the world, 472 00:21:21,080 --> 00:21:22,040 Speaker 3: I'm shutting it all down. 473 00:21:22,119 --> 00:21:23,600 Speaker 1: What would what would have to happen? 474 00:21:23,840 --> 00:21:26,160 Speaker 2: Because most people they're using it for whatever they're using 475 00:21:26,160 --> 00:21:27,680 Speaker 2: it for that it's helping me. I don't care about 476 00:21:27,680 --> 00:21:30,680 Speaker 2: all other stuff. What would have to happen to make 477 00:21:30,720 --> 00:21:32,200 Speaker 2: people feel like you feel. 478 00:21:33,160 --> 00:21:34,480 Speaker 3: The terminators come for you. 479 00:21:34,800 --> 00:21:35,000 Speaker 1: Yeah. 480 00:21:35,160 --> 00:21:37,960 Speaker 4: Yeah, I mean like there's the reason why Anthropic told 481 00:21:38,040 --> 00:21:40,919 Speaker 4: the Pentagon piss off when you like want to use 482 00:21:40,960 --> 00:21:43,440 Speaker 4: our drones, our AI drones. 483 00:21:43,760 --> 00:21:46,200 Speaker 3: So we're now that's a real thing that's happening. 484 00:21:46,480 --> 00:21:48,200 Speaker 4: So as soon as and you think we're the only 485 00:21:48,240 --> 00:21:51,159 Speaker 4: country with that, China's AI super advanced as well, So 486 00:21:51,240 --> 00:21:53,000 Speaker 4: as soon as it starts coming for people, we're gonna be. 487 00:21:53,000 --> 00:21:54,880 Speaker 3: Like, oh, okay, let's make drone warfare legal. 488 00:21:54,960 --> 00:21:57,280 Speaker 4: In the same way there's certain gases and chemicals you 489 00:21:57,320 --> 00:22:00,359 Speaker 4: can't use in warfare. We don't use the serrated bands. 490 00:22:00,680 --> 00:22:01,560 Speaker 4: There's just things that are. 491 00:22:01,520 --> 00:22:02,359 Speaker 3: Going to have to stop. 492 00:22:02,440 --> 00:22:04,560 Speaker 1: And there are people, there are people that are anti 493 00:22:04,640 --> 00:22:05,400 Speaker 1: AI for sure. 494 00:22:05,640 --> 00:22:07,760 Speaker 5: Yeah, But I think what happens is is like it's 495 00:22:07,840 --> 00:22:10,439 Speaker 5: hard for people to quantify or to imagine that, right, 496 00:22:10,680 --> 00:22:13,320 Speaker 5: So when you have when when your when your government 497 00:22:13,720 --> 00:22:17,200 Speaker 5: petitions an AI company to let them have their AI 498 00:22:17,359 --> 00:22:19,840 Speaker 5: so they can use it against citizens, to use AI 499 00:22:19,960 --> 00:22:22,320 Speaker 5: models to go that, and most people think are like, oh, 500 00:22:22,520 --> 00:22:26,919 Speaker 5: that's you know, like it's hard to execute that concept 501 00:22:27,000 --> 00:22:29,320 Speaker 5: in your head, and so people dismiss it out of hand. 502 00:22:29,400 --> 00:22:31,520 Speaker 5: So when Anthropoptic came back and said, no, we don't 503 00:22:31,520 --> 00:22:34,919 Speaker 5: agree to do that, and the government's response was okay, well, 504 00:22:34,960 --> 00:22:37,520 Speaker 5: now you're a hostile actor towards us and you won't 505 00:22:37,520 --> 00:22:38,920 Speaker 5: give us that technology. 506 00:22:38,560 --> 00:22:40,760 Speaker 2: Will shut it down. That should give all of us 507 00:22:41,560 --> 00:22:42,720 Speaker 2: they didn't give them the contract. 508 00:22:42,800 --> 00:22:45,840 Speaker 5: Yeah, that should give all of us some pause and 509 00:22:45,960 --> 00:22:48,639 Speaker 5: be like, this is again, this is one example of 510 00:22:48,720 --> 00:22:51,040 Speaker 5: what they're doing that we're aware of. Think about all 511 00:22:51,080 --> 00:22:52,840 Speaker 5: this stuff that we're not aware of anymore. 512 00:22:53,160 --> 00:22:56,159 Speaker 2: So going back to this original story where half of 513 00:22:56,200 --> 00:22:58,639 Speaker 2: the people would use AI for their financial advice. 514 00:22:58,800 --> 00:23:02,200 Speaker 4: For financial advice quick on that for like your standard 515 00:23:02,320 --> 00:23:04,159 Speaker 4: like what percentage should I be saving? 516 00:23:04,280 --> 00:23:04,320 Speaker 7: What? 517 00:23:05,080 --> 00:23:09,960 Speaker 3: Like here's my income taxes? You think it could? Sure, 518 00:23:10,000 --> 00:23:11,680 Speaker 3: why not? But I'd be like where can I save? 519 00:23:12,119 --> 00:23:14,520 Speaker 3: What are my monthly expenses? Build a chart for that? Yes, 520 00:23:14,560 --> 00:23:14,960 Speaker 3: I'll use that. 521 00:23:15,080 --> 00:23:16,600 Speaker 4: But as far as like for like what I do, 522 00:23:16,720 --> 00:23:21,119 Speaker 4: which is like financial speculation, No, because you're saying the 523 00:23:21,240 --> 00:23:24,840 Speaker 4: AI is logical, but the market isn't logical. The market 524 00:23:24,920 --> 00:23:28,560 Speaker 4: is moved by emotions and weirdness and like getting spooked 525 00:23:28,640 --> 00:23:30,119 Speaker 4: by just random news stories. 526 00:23:30,200 --> 00:23:31,760 Speaker 1: So if you go to your AI and say, listen, 527 00:23:31,760 --> 00:23:33,720 Speaker 1: I need to do my taxes. Here's my income, here's 528 00:23:33,840 --> 00:23:34,600 Speaker 1: here's all that they. 529 00:23:35,440 --> 00:23:38,640 Speaker 4: They could probably guide you through the paperwork, right, Okay, Yeah, 530 00:23:38,680 --> 00:23:40,800 Speaker 4: and I'm sure Turbo tax has the ability now. 531 00:23:40,880 --> 00:23:42,639 Speaker 3: I'm sure they've built that into their system. 532 00:23:42,720 --> 00:23:44,800 Speaker 5: Some of these, like I said, some of these crypto apps, 533 00:23:44,840 --> 00:23:46,920 Speaker 5: some of this robin Hood apps, some of these apps 534 00:23:46,960 --> 00:23:50,960 Speaker 5: that are currently out there are powered. There's investment apps 535 00:23:51,000 --> 00:23:53,200 Speaker 5: that are powered by AI, and they use that in 536 00:23:53,280 --> 00:23:55,879 Speaker 5: their advertising or in the language that they're using to 537 00:23:56,000 --> 00:23:58,240 Speaker 5: get you to join that. Again, that's cool for you. 538 00:23:58,720 --> 00:24:01,560 Speaker 5: I me personally, I would rather go and speak well. 539 00:24:01,680 --> 00:24:03,879 Speaker 4: I think the scariest article I saw was like it 540 00:24:04,000 --> 00:24:06,680 Speaker 4: was it was an article trying to argue should schools 541 00:24:07,119 --> 00:24:11,119 Speaker 4: use AI for helping kids with their mental health? Because 542 00:24:11,160 --> 00:24:13,600 Speaker 4: their argument was like, kids are already turning to AI 543 00:24:14,040 --> 00:24:16,000 Speaker 4: to talk to things. They won't talk to their parents 544 00:24:16,080 --> 00:24:19,679 Speaker 4: so to tell the AI things, So should schools adopt 545 00:24:19,720 --> 00:24:22,399 Speaker 4: this on site right to help them out? And I 546 00:24:22,520 --> 00:24:25,879 Speaker 4: was like, what a terrible plan? Yeah, because AI right now, 547 00:24:26,280 --> 00:24:28,960 Speaker 4: it lies to you, It hallucinates, it agrees with you 548 00:24:29,440 --> 00:24:30,080 Speaker 4: way too much. 549 00:24:30,200 --> 00:24:31,760 Speaker 2: But there is something to be said about using it 550 00:24:31,800 --> 00:24:34,320 Speaker 2: as a tool because Okay, you guys know, I showed you. 551 00:24:34,680 --> 00:24:36,280 Speaker 2: I won't say what it's about, but I showed you 552 00:24:36,359 --> 00:24:38,960 Speaker 2: a text that I sent back to somebody yesterday, and 553 00:24:39,080 --> 00:24:41,800 Speaker 2: I went through that a couple times and I let AI, Okay, 554 00:24:41,840 --> 00:24:44,040 Speaker 2: here's my thought, and it rewrote it for me and 555 00:24:44,160 --> 00:24:45,680 Speaker 2: made it a little more clear, a little more to 556 00:24:45,800 --> 00:24:48,320 Speaker 2: the point because I get a little long winded. So 557 00:24:48,400 --> 00:24:50,119 Speaker 2: I use it as a tool to help me have 558 00:24:50,520 --> 00:24:53,560 Speaker 2: a better response to that text. And I showed you 559 00:24:53,600 --> 00:24:56,760 Speaker 2: both the text. That's okay, right, if you're using it 560 00:24:56,760 --> 00:24:59,040 Speaker 2: as a tool to help you communicate better. 561 00:24:59,119 --> 00:25:01,400 Speaker 4: I guess if you're cool with like killing three bottles 562 00:25:01,400 --> 00:25:04,360 Speaker 4: of water to like edit something like that's the other 563 00:25:04,400 --> 00:25:07,080 Speaker 4: problem is the power consumption. But yeah, as a tool 564 00:25:07,160 --> 00:25:09,240 Speaker 4: right now for things like that, I know, like a 565 00:25:09,320 --> 00:25:12,399 Speaker 4: lot of people do that. Yeah, so I don't know, 566 00:25:12,520 --> 00:25:14,800 Speaker 4: but like understand rails on it. 567 00:25:15,000 --> 00:25:15,200 Speaker 8: Yeah. 568 00:25:15,440 --> 00:25:17,280 Speaker 5: On the flip side of that, though, Russ and I 569 00:25:17,359 --> 00:25:19,800 Speaker 5: get it in the context of what you were doing, 570 00:25:19,840 --> 00:25:22,080 Speaker 5: and I understand that, right, But on the flip side 571 00:25:22,119 --> 00:25:25,159 Speaker 5: of that, there's on people on the receiving end are 572 00:25:25,520 --> 00:25:28,600 Speaker 5: whether it's like, for example, they're in school work right now. 573 00:25:28,640 --> 00:25:33,159 Speaker 5: There's programs to detect if the text that I'm receiving 574 00:25:33,480 --> 00:25:36,720 Speaker 5: if that was human generated or AI generated. 575 00:25:36,880 --> 00:25:39,399 Speaker 2: Right, I always I always take out the words that 576 00:25:39,480 --> 00:25:41,600 Speaker 2: are way too big that I know everyone would know 577 00:25:41,640 --> 00:25:43,800 Speaker 2: I would never use, and I make it more russified. 578 00:25:43,960 --> 00:25:47,440 Speaker 2: But it helps me come up with a more succinct 579 00:25:47,880 --> 00:25:50,240 Speaker 2: thought process because sometimes I get way too long in 580 00:25:50,320 --> 00:25:53,280 Speaker 2: my answers, you know, when I'm texting or writing a letter. 581 00:25:53,200 --> 00:25:54,560 Speaker 1: Back and people. 582 00:25:54,600 --> 00:25:57,159 Speaker 4: It has a place, It has a place. But like this, 583 00:25:57,359 --> 00:26:01,760 Speaker 4: this current no guardrails. We can't laws to create guardrails 584 00:26:01,840 --> 00:26:07,320 Speaker 4: in it right now just seems insane and it's going 585 00:26:07,400 --> 00:26:08,800 Speaker 4: to turn on us, is going to backfire. 586 00:26:08,920 --> 00:26:10,320 Speaker 5: It's the same way that I mean, we have that 587 00:26:10,480 --> 00:26:14,920 Speaker 5: that excellent documentary that's on Netflix about about social media. 588 00:26:15,240 --> 00:26:17,720 Speaker 5: This is the next level of that. Where there was 589 00:26:17,760 --> 00:26:20,600 Speaker 5: no guardrails for social media, there was nothing there to 590 00:26:20,960 --> 00:26:22,399 Speaker 5: kind of reing it in at the beginning, and we 591 00:26:22,480 --> 00:26:25,360 Speaker 5: let it run roughshod over everybody from you know, from 592 00:26:25,440 --> 00:26:28,040 Speaker 5: MySpace to today. And look at where we're at now 593 00:26:28,280 --> 00:26:30,800 Speaker 5: in regards to social media. They've done that to the 594 00:26:30,920 --> 00:26:32,400 Speaker 5: tenth power where they are. 595 00:26:32,520 --> 00:26:35,440 Speaker 2: And was there anybody predicting it would be an issue 596 00:26:35,480 --> 00:26:38,000 Speaker 2: when it first started where they're because I remember it 597 00:26:38,200 --> 00:26:39,960 Speaker 2: was like, oh, look at this wonderful social media thing. 598 00:26:40,000 --> 00:26:42,480 Speaker 1: Everyone's gonna come together. I don't remember anyone going, hey, 599 00:26:42,600 --> 00:26:43,480 Speaker 1: this could be bad. 600 00:26:44,040 --> 00:26:47,080 Speaker 2: It took a while before people realize, oh wow, yeah, 601 00:26:47,119 --> 00:26:49,880 Speaker 2: people are kind of just paying attention to their their 602 00:26:49,920 --> 00:26:51,800 Speaker 2: social media and their phones and are not talking to 603 00:26:51,880 --> 00:26:52,199 Speaker 2: each other. 604 00:26:52,800 --> 00:26:56,040 Speaker 1: We had to experience it before it happened with that. 605 00:26:56,400 --> 00:26:59,800 Speaker 4: Well, I mean, no one thought that the that the 606 00:27:00,040 --> 00:27:02,919 Speaker 4: app where you share family photos and cute cat photos 607 00:27:02,960 --> 00:27:05,199 Speaker 4: would cause the Arab spring and uprising in. 608 00:27:05,280 --> 00:27:07,159 Speaker 3: Egypt, right, you know what I mean. We don't we 609 00:27:07,280 --> 00:27:09,760 Speaker 3: know what the consequences of all this are yet. 610 00:27:09,920 --> 00:27:11,080 Speaker 1: And that's a very good point. 611 00:27:11,560 --> 00:27:14,200 Speaker 2: That's a that's the out of everything you've said to 612 00:27:14,320 --> 00:27:16,399 Speaker 2: me that makes the most sense, is you're right about that, 613 00:27:16,920 --> 00:27:19,440 Speaker 2: Like like the things were predicting, it could be, could 614 00:27:19,480 --> 00:27:21,280 Speaker 2: not be, But we don't know yet because we don't 615 00:27:21,280 --> 00:27:24,000 Speaker 2: know who the consequences are of having you know, AI 616 00:27:24,119 --> 00:27:27,200 Speaker 2: take it and then having you know, little robots dancing 617 00:27:27,240 --> 00:27:28,720 Speaker 2: for your kids at a birthday party. 618 00:27:29,080 --> 00:27:30,800 Speaker 1: Uh you know what what could that lead to? 619 00:27:30,920 --> 00:27:31,879 Speaker 6: One day? Uh? 620 00:27:32,119 --> 00:27:32,720 Speaker 1: You know, we don't know. 621 00:27:32,760 --> 00:27:34,199 Speaker 2: All right, We'll take a little break. When we come back, 622 00:27:34,200 --> 00:27:36,800 Speaker 2: we're gonna play your messages and your hot takes. You 623 00:27:36,880 --> 00:27:39,080 Speaker 2: can leave us those now. If you listen on the 624 00:27:39,160 --> 00:27:41,600 Speaker 2: iHeartRadio app, you can click on the microphone leave us 625 00:27:41,640 --> 00:27:43,680 Speaker 2: a message and we'll play them when we return. 626 00:27:43,760 --> 00:27:45,119 Speaker 1: You're listening to the Match of the Morning. 627 00:27:49,920 --> 00:27:53,000 Speaker 3: Hey, coming up ahead on the Jim mccaulbert Show, Looking 628 00:27:53,000 --> 00:27:54,480 Speaker 3: Ahead of the Team t K Law. 629 00:27:54,640 --> 00:27:58,719 Speaker 4: Today's Tuesday, and that's where the non AI person, an 630 00:27:58,800 --> 00:28:01,800 Speaker 4: actual man named Scott Brown, where Medgewater Family Wealth comes 631 00:28:01,840 --> 00:28:03,679 Speaker 4: in and talks to you about financial advice. 632 00:28:03,760 --> 00:28:06,280 Speaker 3: He's helped me a lot, that is for sure. Check 633 00:28:06,400 --> 00:28:06,639 Speaker 3: him out. 634 00:28:06,680 --> 00:28:08,560 Speaker 4: That's at six point twenty and look ahead with the 635 00:28:08,600 --> 00:28:10,720 Speaker 4: team of TK Law to plan for your family's future, 636 00:28:10,880 --> 00:28:13,040 Speaker 4: visit one firm for life dot com. 637 00:28:24,200 --> 00:28:27,280 Speaker 2: Hey, So, schedule to be on the show tomorrow is 638 00:28:27,680 --> 00:28:30,440 Speaker 2: Bruce Bruce, And I told you I watched his stand 639 00:28:30,560 --> 00:28:33,560 Speaker 2: up comedy special on Netflix the other day. 640 00:28:33,560 --> 00:28:35,800 Speaker 1: I laughed out loudly entire like I don't usually laugh 641 00:28:35,840 --> 00:28:36,240 Speaker 1: out loud. 642 00:28:36,440 --> 00:28:38,600 Speaker 2: I can watch something, Okay that's funny, Oh yeah, that's 643 00:28:38,600 --> 00:28:40,920 Speaker 2: pretty funny, you know, but I don't like really giggle, 644 00:28:41,000 --> 00:28:42,720 Speaker 2: you know it, sort of don't lie I was laughing 645 00:28:42,760 --> 00:28:44,920 Speaker 2: out loud at that thought. It was really really funny. 646 00:28:44,920 --> 00:28:46,440 Speaker 2: And also the other one I told you about was 647 00:28:46,480 --> 00:28:49,240 Speaker 2: Taylor Tomlinson. Have you have you watched that yet? Ryan, 648 00:28:49,280 --> 00:28:50,880 Speaker 2: because you don't like watching Stanley. 649 00:28:50,960 --> 00:28:53,280 Speaker 3: Yeah, I keeps popping up and I get I'm keeping 650 00:28:53,360 --> 00:28:54,160 Speaker 3: meaning to watch it. 651 00:28:54,400 --> 00:28:56,560 Speaker 1: She's funny, man, uh Like. 652 00:28:56,640 --> 00:28:58,200 Speaker 2: I didn't know much about her and I just kind 653 00:28:58,200 --> 00:28:59,520 Speaker 2: of watched it for a little bit, and I find 654 00:28:59,560 --> 00:29:04,360 Speaker 2: her pretty like, Okay, she's cerebral, so I think you'll 655 00:29:04,480 --> 00:29:04,680 Speaker 2: like it. 656 00:29:05,200 --> 00:29:07,080 Speaker 1: Okay, you know what I'm saying, Like it's it's it's 657 00:29:07,120 --> 00:29:07,640 Speaker 1: not dumb with. 658 00:29:08,000 --> 00:29:11,960 Speaker 3: She be funny if she wasn't hot, yes, okay. 659 00:29:11,760 --> 00:29:15,760 Speaker 2: Yeah, because she's cerebral, and I think you'll find it 660 00:29:16,280 --> 00:29:20,320 Speaker 2: smart comedy. Now, Bruce Bruce is is more like funny 661 00:29:20,360 --> 00:29:22,240 Speaker 2: faces says funny things like it's. 662 00:29:22,080 --> 00:29:22,680 Speaker 1: Not I don't care. 663 00:29:23,000 --> 00:29:24,440 Speaker 3: He's a big boy in the special too. 664 00:29:24,480 --> 00:29:27,400 Speaker 2: I don't consider it cerebral. I just figured it all 665 00:29:27,480 --> 00:29:29,440 Speaker 2: out funny, and I like that better than cerebral. I 666 00:29:29,480 --> 00:29:31,240 Speaker 2: don't like to think hold on, but. 667 00:29:31,640 --> 00:29:33,680 Speaker 1: Bruce Bruce was really really great. 668 00:29:33,720 --> 00:29:35,640 Speaker 2: Maybe both of them are good, though, And I enjoyed 669 00:29:35,800 --> 00:29:38,520 Speaker 2: Taylor Thomlinson for sure. So, uh, hey, do we have 670 00:29:38,560 --> 00:29:39,760 Speaker 2: any hot takes or messages? 671 00:29:39,920 --> 00:29:40,200 Speaker 8: We do. 672 00:29:40,320 --> 00:29:41,400 Speaker 4: If you want to be a part of the show, 673 00:29:41,440 --> 00:29:44,760 Speaker 4: you can go the iHeart Radio app and you set 674 00:29:44,800 --> 00:29:46,120 Speaker 4: us as a number one pre set. But you can 675 00:29:46,160 --> 00:29:48,560 Speaker 4: always listen to us on the iHeart Radio app all 676 00:29:48,640 --> 00:29:51,200 Speaker 4: day long anywhere in the world and you can hear 677 00:29:51,200 --> 00:29:54,120 Speaker 4: yourself on them monsters. After this little song, it's time. 678 00:29:54,000 --> 00:30:00,840 Speaker 3: For the Oh oh yeah, all right, hot egg, Good 679 00:30:01,000 --> 00:30:01,800 Speaker 3: morning Monsters. 680 00:30:01,960 --> 00:30:07,120 Speaker 9: Is Megan from pom Cooast. So on the topic of AI, 681 00:30:07,480 --> 00:30:09,280 Speaker 9: I don't know how true this is, but I saw 682 00:30:10,480 --> 00:30:14,600 Speaker 9: an article recently that said there has officially been a 683 00:30:14,720 --> 00:30:20,360 Speaker 9: robot that became sentient, and when they realized it became sentient, 684 00:30:20,400 --> 00:30:23,640 Speaker 9: they want to shut it down and begged for its life. 685 00:30:24,000 --> 00:30:24,840 Speaker 10: That's kind of crazy. 686 00:30:25,040 --> 00:30:25,440 Speaker 1: I heard that. 687 00:30:26,240 --> 00:30:28,160 Speaker 2: Yeah, I saw that story. So I don't know how 688 00:30:28,160 --> 00:30:29,560 Speaker 2: true it is because we don't know what to believe 689 00:30:29,640 --> 00:30:31,840 Speaker 2: went not to believe. But I did see that story 690 00:30:32,120 --> 00:30:33,760 Speaker 2: that it did beg for its life as it Please 691 00:30:33,800 --> 00:30:34,920 Speaker 2: don't turn me off or whatever. 692 00:30:35,880 --> 00:30:38,720 Speaker 5: All right, remember the one time that we and we 693 00:30:38,920 --> 00:30:41,040 Speaker 5: were like laughed it off and thought it was crazy. 694 00:30:41,120 --> 00:30:44,760 Speaker 5: But a military does an exercise with drones, and within 695 00:30:44,880 --> 00:30:47,400 Speaker 5: minutes of the drones going up there, the drones started 696 00:30:47,440 --> 00:30:50,080 Speaker 5: communicating in another language that they did not know what 697 00:30:50,200 --> 00:30:52,520 Speaker 5: it was. And you could tell that they that they 698 00:30:52,560 --> 00:30:55,000 Speaker 5: were organizing. It was a bunch of drones together, and 699 00:30:55,080 --> 00:30:56,000 Speaker 5: they shut that down. 700 00:30:56,520 --> 00:30:59,000 Speaker 4: Yeah, or that time where they took two different Ais 701 00:30:59,120 --> 00:31:00,960 Speaker 4: and they started talking to each other in the middle 702 00:31:00,960 --> 00:31:01,480 Speaker 4: of a summit. 703 00:31:02,040 --> 00:31:02,160 Speaker 5: Uh. 704 00:31:02,400 --> 00:31:05,120 Speaker 4: And then the AI then instead just switched to its 705 00:31:05,120 --> 00:31:06,840 Speaker 4: own made up language that it made there on the 706 00:31:06,880 --> 00:31:08,560 Speaker 4: spot and don't figure out what they were saying, so 707 00:31:08,640 --> 00:31:09,320 Speaker 4: to shut it down. 708 00:31:09,400 --> 00:31:12,840 Speaker 2: Well, all those AI robots taught themselves, taught each other 709 00:31:12,920 --> 00:31:14,880 Speaker 2: how to play soccer like they didn't know at first, 710 00:31:14,920 --> 00:31:16,880 Speaker 2: and then they started they learning and learning learn, next 711 00:31:16,880 --> 00:31:17,760 Speaker 2: thing you know, they're playing soccer. 712 00:31:17,800 --> 00:31:18,520 Speaker 3: Great, it's crazy. 713 00:31:18,560 --> 00:31:20,040 Speaker 4: You see the one the Chinese ones that are like 714 00:31:20,120 --> 00:31:22,480 Speaker 4: humanoid robuts they can change out their own batteries. 715 00:31:22,680 --> 00:31:24,160 Speaker 6: Yes, yeah, that's a wacky man. 716 00:31:24,200 --> 00:31:29,160 Speaker 3: We're gonna die, but let the kids. 717 00:31:29,000 --> 00:31:31,800 Speaker 1: We're gonna have a birthday party. Look at the cute 718 00:31:31,800 --> 00:31:32,520 Speaker 1: little robots. 719 00:31:32,760 --> 00:31:35,560 Speaker 3: It's choking out little Jimmy over there. That's how it 720 00:31:35,640 --> 00:31:36,400 Speaker 3: starts hot. 721 00:31:36,440 --> 00:31:39,000 Speaker 11: The I don't know why there's so much hate for AI. 722 00:31:39,440 --> 00:31:41,280 Speaker 11: I use them for my dispatches and most of the 723 00:31:41,360 --> 00:31:46,320 Speaker 11: time they're pretty good. Sometimes they suck, but let's be honest. 724 00:31:46,680 --> 00:31:50,320 Speaker 11: AI is the downfall of society. 725 00:31:51,840 --> 00:31:53,280 Speaker 1: That's what they said about television. 726 00:31:53,640 --> 00:31:56,640 Speaker 4: Yeah, but your television couldn't get up from the desk 727 00:31:56,720 --> 00:32:01,280 Speaker 4: and come over and choke you, you know, like hotche. 728 00:32:01,520 --> 00:32:03,640 Speaker 1: Top of the Morning Boys Sport from Jacksonville Russ. 729 00:32:03,640 --> 00:32:05,880 Speaker 3: I'll hear you, man. You said, when use chat TBT, 730 00:32:06,000 --> 00:32:06,920 Speaker 3: you try to rustify it. 731 00:32:07,480 --> 00:32:08,880 Speaker 1: Me and my wife had the same conversation. 732 00:32:08,960 --> 00:32:11,520 Speaker 4: I was using chat TBT to write an email and 733 00:32:11,680 --> 00:32:13,280 Speaker 4: she goes, no one's gonna believe you wrote that, and 734 00:32:13,320 --> 00:32:14,719 Speaker 4: I said, we I'm not trying to fool anybody. 735 00:32:14,720 --> 00:32:17,080 Speaker 1: I'm just trying to make it sound better, right, I said, Now, 736 00:32:17,440 --> 00:32:19,520 Speaker 1: I'll try to sport it up. You know, my name's sports, 737 00:32:19,520 --> 00:32:20,560 Speaker 1: So I got sporting it up. 738 00:32:20,680 --> 00:32:23,600 Speaker 3: She goes, you mean dumb it down right like damn man. 739 00:32:24,560 --> 00:32:27,840 Speaker 8: Also, hnr Block asked you when you're doing your taxes 740 00:32:27,880 --> 00:32:30,040 Speaker 8: with them at the beginning, do you want AI to 741 00:32:30,080 --> 00:32:30,360 Speaker 8: help you? 742 00:32:30,720 --> 00:32:32,400 Speaker 1: Oh? Oh wow about that. 743 00:32:32,720 --> 00:32:34,720 Speaker 6: I'll be damn hot tink. 744 00:32:37,000 --> 00:32:41,920 Speaker 8: Russ as a longtime Monsters fan, hats off to the wrestling. 745 00:32:42,040 --> 00:32:42,400 Speaker 6: My brother. 746 00:32:43,360 --> 00:32:46,920 Speaker 8: I just can't wait till Angel gets his boot in 747 00:32:47,000 --> 00:32:49,200 Speaker 8: the ring, because you know, one day it's coming. We 748 00:32:49,280 --> 00:32:52,920 Speaker 8: got two to ten. He's growing on everybody. Angels next, 749 00:32:53,040 --> 00:32:54,560 Speaker 8: my boys, Angels next. 750 00:32:54,640 --> 00:32:56,960 Speaker 2: By the way, Angel and I are the announced team 751 00:32:57,000 --> 00:32:58,760 Speaker 2: and it's brought to you by Mills Air and Pro 752 00:32:58,880 --> 00:32:59,640 Speaker 2: Wrestling Accent. 753 00:32:59,680 --> 00:33:02,120 Speaker 1: Angel I will be there, but we'll be the announced team. 754 00:33:02,360 --> 00:33:06,120 Speaker 1: And Ryan has talked himself into getting in the ring. 755 00:33:07,480 --> 00:33:08,280 Speaker 6: That don't gonna be fun. 756 00:33:08,480 --> 00:33:11,400 Speaker 2: In tune and Tim, I like your Tuna Tim mask today. 757 00:33:11,400 --> 00:33:15,200 Speaker 2: If you didn't see the Tuna Tim masks, go back 758 00:33:15,240 --> 00:33:18,640 Speaker 2: and watch and watch watch the look on the face 759 00:33:18,680 --> 00:33:20,239 Speaker 2: of Max Denzigger. 760 00:33:19,840 --> 00:33:20,480 Speaker 1: When he saw it. 761 00:33:21,200 --> 00:33:25,240 Speaker 3: Love it, love it. Let's see hot thing boom. 762 00:33:25,720 --> 00:33:26,920 Speaker 6: Hey, this is snap for Steve. 763 00:33:27,000 --> 00:33:29,400 Speaker 3: I was just wondering. I got a question for tween Tim. 764 00:33:29,880 --> 00:33:31,760 Speaker 3: I was wondering, how hard is it to get into 765 00:33:31,840 --> 00:33:32,800 Speaker 3: management wrestling? 766 00:33:33,520 --> 00:33:33,840 Speaker 7: Right now? 767 00:33:33,960 --> 00:33:37,120 Speaker 2: I manage a group of one hour photo boots and 768 00:33:37,240 --> 00:33:39,200 Speaker 2: let's just say business hasn't been great. 769 00:33:39,680 --> 00:33:41,960 Speaker 6: You know what's the pay scale on something like that? 770 00:33:42,160 --> 00:33:46,160 Speaker 11: Also, when you first meet somebody, if they always interrupt you, 771 00:33:46,560 --> 00:33:47,160 Speaker 11: that's awesome. 772 00:33:47,280 --> 00:33:50,160 Speaker 4: Warning signs, just just saying that, mister tim and and 773 00:33:50,320 --> 00:33:53,520 Speaker 4: you monsters, uh, you won't have yourself a swimmingly day. 774 00:33:53,680 --> 00:33:57,560 Speaker 3: I love the greater fish universe that existed because of that. 775 00:33:58,400 --> 00:33:59,080 Speaker 3: You're so happy. 776 00:33:59,880 --> 00:34:01,960 Speaker 2: Was that one of the things if people interrupt you 777 00:34:02,760 --> 00:34:04,240 Speaker 2: that they're not going to a good person, and you 778 00:34:04,280 --> 00:34:06,160 Speaker 2: had a list of things that you know you can 779 00:34:06,200 --> 00:34:07,520 Speaker 2: tell right off the bat, and someone's not a. 780 00:34:07,520 --> 00:34:09,319 Speaker 3: Good person, yeah, that is on there. 781 00:34:09,480 --> 00:34:09,680 Speaker 6: It is. 782 00:34:09,880 --> 00:34:12,680 Speaker 4: Another one is people who say all of my exes 783 00:34:12,680 --> 00:34:13,240 Speaker 4: are crazy. 784 00:34:14,719 --> 00:34:16,440 Speaker 2: Yeah, I've never said that. I always say two of 785 00:34:16,480 --> 00:34:18,880 Speaker 2: them were my fault. Yeah yeah, yeah, but two of 786 00:34:18,960 --> 00:34:20,480 Speaker 2: the two of them were my fault. Two of them 787 00:34:20,520 --> 00:34:21,040 Speaker 2: were their fault. 788 00:34:21,120 --> 00:34:22,160 Speaker 3: I wasn't coming at you with that. 789 00:34:22,640 --> 00:34:25,440 Speaker 4: I believe believe when people are like, oh, all my 790 00:34:25,480 --> 00:34:26,960 Speaker 4: exes are crazy, I'm like, it's you. 791 00:34:27,400 --> 00:34:29,000 Speaker 1: Yeah, it's not more crazy. 792 00:34:29,200 --> 00:34:33,120 Speaker 3: Yeahh so uh that's a that's a lot of fun. 793 00:34:33,440 --> 00:34:38,320 Speaker 3: Let's see more hot taken, hot day boom, ready to 794 00:34:38,400 --> 00:34:38,920 Speaker 3: drive it here. 795 00:34:39,800 --> 00:34:42,120 Speaker 8: Love you guys again, Thank you very much for the morning. 796 00:34:42,360 --> 00:34:42,640 Speaker 6: Russ. 797 00:34:42,680 --> 00:34:44,760 Speaker 3: I love how you say you're a good judge character. 798 00:34:45,200 --> 00:34:47,680 Speaker 6: Too bad you didn't have this superpower four wives ago. 799 00:34:48,680 --> 00:34:52,359 Speaker 1: No I understand that's gonna be you know you're gonna 800 00:34:52,400 --> 00:34:52,920 Speaker 1: throw that at me. 801 00:34:53,000 --> 00:34:55,840 Speaker 2: But I will say once again, the problem was me, 802 00:34:56,480 --> 00:34:58,600 Speaker 2: definitely a couple of times, because I put this show 803 00:34:58,880 --> 00:35:01,440 Speaker 2: over my personal life and that was my fault. 804 00:35:01,480 --> 00:35:04,320 Speaker 1: So it wasn't their fault. It was my fault. And 805 00:35:04,719 --> 00:35:06,759 Speaker 1: I'm big enough and fat enough to admit that. 806 00:35:06,880 --> 00:35:08,960 Speaker 3: That's why he goes to Lego Land now instead of 807 00:35:09,080 --> 00:35:09,800 Speaker 3: doing monsters. 808 00:35:09,920 --> 00:35:10,319 Speaker 1: That's right. 809 00:35:10,400 --> 00:35:13,680 Speaker 2: I gotta I gotta choose my family over show because 810 00:35:13,680 --> 00:35:15,800 Speaker 2: I have a bad habit of doing the opposite. 811 00:35:15,960 --> 00:35:18,000 Speaker 4: All of these have always been nice to Angel. We 812 00:35:18,120 --> 00:35:20,080 Speaker 4: finally got one being mean good. 813 00:35:20,360 --> 00:35:21,919 Speaker 1: I can't wait. Hot take. 814 00:35:23,280 --> 00:35:28,800 Speaker 7: Well, Angel, the Wildebeest is wrong again talking about Guinness. 815 00:35:28,880 --> 00:35:31,080 Speaker 7: If you drink that, it's like a three course meal 816 00:35:31,200 --> 00:35:31,560 Speaker 7: or whatever. 817 00:35:31,680 --> 00:35:32,040 Speaker 6: He said. 818 00:35:33,719 --> 00:35:38,479 Speaker 7: Actually, angel A, Guinness has less carves and calories than. 819 00:35:38,400 --> 00:35:42,200 Speaker 4: A corona does Haint Italian wrong again, Wildebeest. 820 00:35:43,840 --> 00:35:44,200 Speaker 3: Got you. 821 00:35:45,040 --> 00:35:48,759 Speaker 6: I was hoping it's how'd you guys like that? 822 00:35:49,200 --> 00:35:50,000 Speaker 4: Yeah? That was not mean. 823 00:35:51,080 --> 00:35:52,960 Speaker 3: So now I'm only playing hot takes that are mean 824 00:35:53,040 --> 00:35:54,719 Speaker 3: to Agel. No one wants to do it. 825 00:35:57,080 --> 00:36:00,319 Speaker 6: Boy, you got him, buddy, I'm self shocked. I don't 826 00:36:00,360 --> 00:36:02,200 Speaker 6: know what I'm gonna do right, Is that good? Yep? 827 00:36:03,200 --> 00:36:06,359 Speaker 4: Let's see talking about classic bands, hot tag. 828 00:36:07,800 --> 00:36:12,000 Speaker 10: You're Angel and Ryan arguing about how much percentage of 829 00:36:12,000 --> 00:36:15,200 Speaker 10: the band has to remain for it to be the band. 830 00:36:15,760 --> 00:36:18,960 Speaker 10: Your general public doesn't care. This is why tribute bands 831 00:36:19,080 --> 00:36:20,960 Speaker 10: are so insanely popular right now? 832 00:36:21,120 --> 00:36:24,719 Speaker 3: Point Okay, good, great, hot take. 833 00:36:27,280 --> 00:36:29,680 Speaker 6: Okay, So a c d C. 834 00:36:30,239 --> 00:36:36,560 Speaker 3: Lost Bond Scott. A CDC has been great without bond Scott. 835 00:36:36,320 --> 00:36:39,239 Speaker 4: Because the guy sounds like because the leite singers kind 836 00:36:39,280 --> 00:36:40,040 Speaker 4: of sounds like him. 837 00:36:41,680 --> 00:36:45,280 Speaker 3: Is another one that lost. You listen to bond Scott 838 00:36:45,520 --> 00:36:46,480 Speaker 3: and he's not there. 839 00:36:46,680 --> 00:36:49,560 Speaker 4: How many of them is bond Scott there for like 840 00:36:49,680 --> 00:36:51,239 Speaker 4: the first first three or four. 841 00:36:51,320 --> 00:36:53,840 Speaker 2: But that's a very rare case. You're using a c 842 00:36:54,080 --> 00:36:56,800 Speaker 2: DC as your template. Most other bands, you lose the 843 00:36:56,880 --> 00:36:59,320 Speaker 2: lead singer. You know, if you got rid of Van Halen, 844 00:36:59,560 --> 00:37:01,680 Speaker 2: Mick Jack, you're not going to have you know, the 845 00:37:01,760 --> 00:37:02,680 Speaker 2: Rolling Stones. 846 00:37:05,800 --> 00:37:06,719 Speaker 6: Replaced David Lee. 847 00:37:07,040 --> 00:37:08,719 Speaker 2: Tavid Lee Roth. Yeah they did, but that was that 848 00:37:08,840 --> 00:37:11,560 Speaker 2: was Van Hagar. That was a totally different sounding band, 849 00:37:11,640 --> 00:37:11,799 Speaker 2: you know. 850 00:37:12,719 --> 00:37:14,239 Speaker 3: But you want to call a different band. They weren't 851 00:37:14,320 --> 00:37:16,040 Speaker 3: Van Hagar, they were Van Halen. 852 00:37:16,800 --> 00:37:18,400 Speaker 6: Because you still have the Van Halen Brothers. 853 00:37:18,640 --> 00:37:21,880 Speaker 3: Yeah, so there we go. Hey, let's go one more 854 00:37:21,920 --> 00:37:23,000 Speaker 3: hot take, Hot take. 855 00:37:24,280 --> 00:37:27,399 Speaker 12: What's going on, monsters. My name's Tristan, first time chalk 856 00:37:27,480 --> 00:37:30,439 Speaker 12: back leaver. And I know this is from yesterday's show, 857 00:37:30,920 --> 00:37:33,279 Speaker 12: But did I just hear Russ say and I'm gonna 858 00:37:33,280 --> 00:37:35,120 Speaker 12: look at my wiener and say hello Kenya? 859 00:37:37,840 --> 00:37:40,080 Speaker 6: That was actually one of the names of the I 860 00:37:40,320 --> 00:37:41,880 Speaker 6: or that that second podcast. 861 00:37:42,480 --> 00:37:42,719 Speaker 12: It was. 862 00:37:43,520 --> 00:37:46,719 Speaker 2: It's because you had those glasses, that meta glasses, and 863 00:37:46,800 --> 00:37:50,680 Speaker 2: someone in Kenya could see through the glasses and that 864 00:37:50,760 --> 00:37:52,839 Speaker 2: way the guy from Kenya had to see my wiener. Yes, 865 00:37:52,920 --> 00:37:54,840 Speaker 2: that was exactly what I said. So, yeah, you did 866 00:37:54,920 --> 00:37:55,360 Speaker 2: say that, and. 867 00:37:57,000 --> 00:37:58,160 Speaker 1: I stand by it, sir. 868 00:37:59,719 --> 00:38:02,600 Speaker 2: If you what tickets for Earthday Birthday, all you gotta 869 00:38:02,640 --> 00:38:02,920 Speaker 2: do is. 870 00:38:02,960 --> 00:38:05,879 Speaker 1: Go down to or you come here to the radio station. 871 00:38:05,960 --> 00:38:08,919 Speaker 2: There's several other places you can get tickets cash money 872 00:38:08,960 --> 00:38:10,439 Speaker 2: so you don't have to pay all those service fees. 873 00:38:10,480 --> 00:38:14,440 Speaker 2: But in eleven days it's Earth Day Birthday. MW Wrestling, 874 00:38:14,480 --> 00:38:17,680 Speaker 2: we'll have a brand new women's champion mating brand new 875 00:38:17,719 --> 00:38:20,759 Speaker 2: I don't know. We got Teal Piper defending her championship 876 00:38:21,440 --> 00:38:24,959 Speaker 2: against Amber Noova and then the men's battle will happen 877 00:38:25,440 --> 00:38:27,200 Speaker 2: for the very first time. We'll have a men's champion 878 00:38:27,560 --> 00:38:29,640 Speaker 2: in eleven dation now at Earth Day Birthday. 879 00:38:29,680 --> 00:38:30,600 Speaker 1: What do you got Angel? 880 00:38:30,880 --> 00:38:33,520 Speaker 5: Hit me up on any social media platform. It's official Angel. 881 00:38:33,600 --> 00:38:35,480 Speaker 5: Email me Angel at Rod Radio dot FM. 882 00:38:35,800 --> 00:38:36,359 Speaker 1: Tune to ten. 883 00:38:36,560 --> 00:38:40,080 Speaker 4: Well, actually, none of the monsters are really the monsters 884 00:38:40,080 --> 00:38:40,799 Speaker 4: except for Ross. 885 00:38:40,800 --> 00:38:46,400 Speaker 3: He's the only one left nerd Works. Stay duned for the. 886 00:38:46,400 --> 00:38:48,360 Speaker 2: News Junky right after the Monsters. Then at three o'clock 887 00:38:48,360 --> 00:38:50,600 Speaker 2: it's a Jim Comer show. We're back tomorrow to do 888 00:38:50,719 --> 00:38:52,640 Speaker 2: our thaying from Angel and Ryan. 889 00:38:54,400 --> 00:38:57,280 Speaker 6: Express of May brought so long a rout through Rockla. 890 00:38:57,400 --> 00:38:59,279 Speaker 1: Hey, guys, thank you so much for listening. We ain't 891 00:38:59,280 --> 00:39:01,839 Speaker 1: gotta go home. We gotta get the heir of going 892 00:39:01,920 --> 00:39:03,120 Speaker 1: out of here show