1 00:00:00,120 --> 00:00:04,320 Speaker 1: Welcome to another episode of You Dubs. H. I'm sorry 2 00:00:04,320 --> 00:00:07,120 Speaker 1: I didn't get back to your last text last night. 3 00:00:07,480 --> 00:00:08,000 Speaker 2: What was that. 4 00:00:08,000 --> 00:00:11,000 Speaker 1: Well, we were texting back and forth about we were 5 00:00:11,039 --> 00:00:13,240 Speaker 1: sending chiropractic videos to each other. 6 00:00:15,160 --> 00:00:19,200 Speaker 3: You guys should look at like chiropractic videos for animals. 7 00:00:19,320 --> 00:00:20,880 Speaker 2: No, no, no, there. 8 00:00:22,360 --> 00:00:23,880 Speaker 3: Is it because you like hearing the cracks. 9 00:00:23,960 --> 00:00:26,960 Speaker 2: No, these are the AI videos for the elderly people. 10 00:00:27,360 --> 00:00:29,400 Speaker 2: Can they chuck them into the wall. Yeah, they come 11 00:00:29,440 --> 00:00:30,800 Speaker 2: in and. 12 00:00:30,720 --> 00:00:33,519 Speaker 1: This old lady's like, no, I'm just a little nervous. 13 00:00:33,560 --> 00:00:37,520 Speaker 1: He's like, well, don't be then picture and smashes the back. 14 00:00:38,840 --> 00:00:41,080 Speaker 3: My gosh, I'm sorry. 15 00:00:41,440 --> 00:00:45,240 Speaker 2: What was this about being a Christian? No? We we laugh. 16 00:00:45,520 --> 00:00:48,280 Speaker 2: They're not real. I mean if they they look real, 17 00:00:48,680 --> 00:00:48,960 Speaker 2: they do. 18 00:00:49,159 --> 00:00:52,440 Speaker 1: I mean outside of the nonchalant flipping of the old people, 19 00:00:52,760 --> 00:00:56,200 Speaker 1: which was a little fake, but I mean obviously the dialogue, 20 00:00:56,240 --> 00:00:57,240 Speaker 1: the voices and everything. 21 00:00:57,640 --> 00:00:59,959 Speaker 3: What if everyone what if everyone thinks that these are 22 00:01:00,400 --> 00:01:04,840 Speaker 3: just generated AI videos? But what AI really is and 23 00:01:04,880 --> 00:01:07,360 Speaker 3: someday what we'll really find out is there's these like 24 00:01:07,800 --> 00:01:11,640 Speaker 3: buildings that are just full of people that are forced 25 00:01:11,640 --> 00:01:14,319 Speaker 3: to do these things that people request in videos, and 26 00:01:14,319 --> 00:01:17,160 Speaker 3: they're like actors, but not actors, so they actually have 27 00:01:17,240 --> 00:01:19,880 Speaker 3: just a farm of old people that they're throwing against walls. 28 00:01:22,959 --> 00:01:30,200 Speaker 1: Wow, I've never everybody, I've never I've never felt more shame. 29 00:01:32,240 --> 00:01:34,520 Speaker 1: They get right up though, I mean for the most part, 30 00:01:34,560 --> 00:01:36,600 Speaker 1: the only people just get right back up, so they're 31 00:01:36,600 --> 00:01:37,120 Speaker 1: in great shame. 32 00:01:37,200 --> 00:01:38,319 Speaker 2: I get knocked down again. 33 00:01:38,480 --> 00:01:42,200 Speaker 1: Yeah, and they all say I'm okay. That's like some 34 00:01:42,319 --> 00:01:45,760 Speaker 1: disclaimer in the AI bed or what like. They must 35 00:01:45,760 --> 00:01:48,040 Speaker 1: say they're okay. I mean, like most everyone will. 36 00:01:47,880 --> 00:01:49,800 Speaker 2: Say, oh, I'm find it's a little crick in the 37 00:01:49,840 --> 00:01:51,960 Speaker 2: neck fix that. 38 00:01:53,440 --> 00:01:55,160 Speaker 3: Yeah, AI is actually real. 39 00:01:56,520 --> 00:02:00,160 Speaker 1: But AI could be so purposeful. I mean, it's in 40 00:02:00,200 --> 00:02:03,480 Speaker 1: the medical field. It could be so wonderful. I mean, 41 00:02:03,520 --> 00:02:06,680 Speaker 1: there's so many great things with AI technically, And yes, 42 00:02:06,720 --> 00:02:09,920 Speaker 1: I understand that, you know too, they can probably find 43 00:02:10,040 --> 00:02:14,000 Speaker 1: ways to destroy the earth from the inner out right, Yes, 44 00:02:14,080 --> 00:02:17,720 Speaker 1: But but I just sit and I gut laugh over 45 00:02:17,880 --> 00:02:21,679 Speaker 1: chiropractic videos of AI with elderly people, and I don't, 46 00:02:22,160 --> 00:02:25,079 Speaker 1: I don't even I love elderly people. I love elderly people. 47 00:02:25,760 --> 00:02:27,959 Speaker 1: And then Jesus Paul Vaulting was a good one too. 48 00:02:29,280 --> 00:02:31,680 Speaker 1: I mean, just he Paul Vaults and he goes up 49 00:02:31,720 --> 00:02:36,520 Speaker 1: over the bars. Oh, goes right up into this. 50 00:02:36,160 --> 00:02:39,959 Speaker 2: Cracking the clouds, the sun coming out, that he is gone. 51 00:02:43,840 --> 00:02:47,399 Speaker 3: You sent me yesterday of the guy in the hospital 52 00:02:47,440 --> 00:02:49,480 Speaker 3: bed doing the vaulting was good. 53 00:02:49,560 --> 00:02:50,760 Speaker 2: Oh yeah, yeah. 54 00:02:50,800 --> 00:02:53,160 Speaker 1: The the there's a guy who's like on his deathbed 55 00:02:54,400 --> 00:02:58,560 Speaker 1: and then he he's running. He's I'm not running at all, 56 00:02:58,600 --> 00:03:00,760 Speaker 1: He's just his deathbed and he's on it and it's 57 00:03:00,800 --> 00:03:03,600 Speaker 1: flying down the track and then he pull vaults. 58 00:03:05,160 --> 00:03:07,359 Speaker 2: One time he runs into a thing, he goes bouncing back. 59 00:03:07,560 --> 00:03:08,639 Speaker 2: I mean, it's I don't know why. 60 00:03:08,800 --> 00:03:11,720 Speaker 1: I don't know, it's so blatantly fake, but I just 61 00:03:11,960 --> 00:03:14,560 Speaker 1: it's the concept that's a music. Yeah, it's like who 62 00:03:14,560 --> 00:03:17,160 Speaker 1: sits and thinks of some of the worst case scenarios 63 00:03:17,200 --> 00:03:20,360 Speaker 1: you can think of. Are beloved elderly. We love our 64 00:03:20,440 --> 00:03:23,560 Speaker 1: and I know from like my mom would die laughing 65 00:03:23,600 --> 00:03:26,000 Speaker 1: at that stuff. I mean, when she was elderly, she 66 00:03:26,040 --> 00:03:29,720 Speaker 1: would just she would laugh, she would gut laugh at that. 67 00:03:30,360 --> 00:03:33,280 Speaker 1: You know, it's just our twisted sense of humor. But 68 00:03:33,880 --> 00:03:36,720 Speaker 1: and then I also love the what's your Name? That's 69 00:03:36,720 --> 00:03:38,640 Speaker 1: an old one, that's one of my favorites. And I 70 00:03:38,680 --> 00:03:40,760 Speaker 1: showed Steph that one for the first time last night. 71 00:03:40,680 --> 00:03:43,760 Speaker 2: And she's like, Oh, they're talking birds. How do they 72 00:03:43,760 --> 00:03:48,720 Speaker 2: get them to do that? I know it's AI, but 73 00:03:48,840 --> 00:03:49,080 Speaker 2: like the. 74 00:03:49,040 --> 00:03:51,640 Speaker 1: Way they get the beaks to Why do I make 75 00:03:51,640 --> 00:03:52,920 Speaker 1: my wife sound like Marge Simpson? 76 00:03:53,080 --> 00:03:56,400 Speaker 2: I don't know, but those are some of my faves too. 77 00:03:56,680 --> 00:03:59,960 Speaker 3: That's awesome. I think AI just keeps on getting smarter 78 00:04:00,080 --> 00:04:00,520 Speaker 3: and smarter. 79 00:04:01,280 --> 00:04:02,280 Speaker 2: And that's the problem. 80 00:04:02,760 --> 00:04:04,920 Speaker 3: See, everybody is making all these fun videos and it's 81 00:04:05,000 --> 00:04:07,720 Speaker 3: it is fun, but it's making AI smarter. We're just 82 00:04:07,800 --> 00:04:10,280 Speaker 3: training it with all of our goofy requests and we 83 00:04:10,440 --> 00:04:12,960 Speaker 3: edit them to make them better, and it's just gonna 84 00:04:13,200 --> 00:04:14,640 Speaker 3: eventually take over society. 85 00:04:14,680 --> 00:04:15,600 Speaker 2: Well just think about it. 86 00:04:15,680 --> 00:04:19,040 Speaker 1: I mean, from a government standpoint, you gotta worry about 87 00:04:19,320 --> 00:04:24,880 Speaker 1: like competing agencies doing things within our military, you know, 88 00:04:24,920 --> 00:04:27,479 Speaker 1: within all of the uh you know, the technical stuff 89 00:04:27,480 --> 00:04:32,000 Speaker 1: in our military, our hospitals. We're sitting here, our infrastructure, 90 00:04:32,160 --> 00:04:34,039 Speaker 1: our water departments. 91 00:04:33,520 --> 00:04:35,479 Speaker 2: All that stuff. A little more chlorine. 92 00:04:35,600 --> 00:04:38,800 Speaker 3: Okay, here you go, talking birds. 93 00:04:39,120 --> 00:04:39,480 Speaker 2: Yeah. 94 00:04:39,560 --> 00:04:42,560 Speaker 3: Meanwhile, we're training AI and it's gonna like take over 95 00:04:42,720 --> 00:04:45,559 Speaker 3: the brains of birds somehow, and then suddenly the birds 96 00:04:45,560 --> 00:04:46,960 Speaker 3: are gonna attack us or something. 97 00:04:47,800 --> 00:04:50,280 Speaker 2: That one's a reach. I don't think. I don't think 98 00:04:50,279 --> 00:04:52,920 Speaker 2: they can do the organic thing. I don't know. Yeah, 99 00:04:52,960 --> 00:04:54,599 Speaker 2: I like the what you're thinking, though, you lost me 100 00:04:54,640 --> 00:04:56,280 Speaker 2: on that one. You're going for it. I like it. 101 00:04:56,320 --> 00:04:59,240 Speaker 2: I say that you're swinging for the fences there. 102 00:04:59,320 --> 00:05:02,560 Speaker 3: You say that, But all it takes is one country 103 00:05:02,800 --> 00:05:06,440 Speaker 3: being like, listen, it's brain chip in the bird brains. 104 00:05:06,800 --> 00:05:08,680 Speaker 2: How do you get them in all the birds? Oh? 105 00:05:08,720 --> 00:05:10,719 Speaker 3: You just start breeding birds? What do you mean that's easy? 106 00:05:10,800 --> 00:05:13,760 Speaker 3: They have like clutches of a dozen babies at a time, 107 00:05:13,839 --> 00:05:19,800 Speaker 3: sometimes depending on the bird. Okay, See, you just need 108 00:05:19,839 --> 00:05:23,040 Speaker 3: a mind like this in charge of something evil. 109 00:05:23,240 --> 00:05:26,800 Speaker 1: What Sam doesn't show up tomorrow. Meanwhile, she's off in Washington. 110 00:05:27,000 --> 00:05:30,200 Speaker 2: Yeah, nobody knows where she's alright, So here's how you 111 00:05:30,240 --> 00:05:33,520 Speaker 2: do it. Here's here's another idea. 112 00:05:33,920 --> 00:05:37,320 Speaker 3: I'm an idea. Man over here, woman, yep. 113 00:05:37,240 --> 00:05:39,880 Speaker 1: E mean while you're pregnant. They don't care. Nope, nope, 114 00:05:39,960 --> 00:05:41,840 Speaker 1: we just want what's going on in that mind. Give 115 00:05:41,880 --> 00:05:43,280 Speaker 1: me other diabolical ideas. 116 00:05:44,560 --> 00:05:47,280 Speaker 3: You just need a farmer that's equipped with knowledge about 117 00:05:47,279 --> 00:05:49,360 Speaker 3: how to use AI and brain chips, and it all 118 00:05:49,400 --> 00:05:55,160 Speaker 3: started doing what's unstoppable? What kind of birds should we 119 00:05:55,600 --> 00:05:57,000 Speaker 3: utilize for our bird army. 120 00:05:57,200 --> 00:06:01,679 Speaker 1: Well, eagles are pretty pretty amaging. They'd like pretty tough, 121 00:06:01,720 --> 00:06:03,279 Speaker 1: but they have such wimpy voices. 122 00:06:03,400 --> 00:06:07,560 Speaker 2: Well yeahs meat meat truly. 123 00:06:07,640 --> 00:06:09,880 Speaker 1: People think that you go crazy, like you think they 124 00:06:09,880 --> 00:06:12,320 Speaker 1: would have like a deeper like a hawk. 125 00:06:13,040 --> 00:06:16,440 Speaker 3: When you hear an eagle screech in a movie or something, 126 00:06:16,480 --> 00:06:17,599 Speaker 3: they use a red tailed hawks. 127 00:06:17,680 --> 00:06:19,200 Speaker 2: Yeah, yeah, which is badass. 128 00:06:19,320 --> 00:06:25,880 Speaker 1: Yes, yes, but eagles are like birds. Yeah, the people 129 00:06:26,520 --> 00:06:28,840 Speaker 1: I would start with something really in assuming, like a wren. 130 00:06:29,320 --> 00:06:31,680 Speaker 3: Every yes, you can't do you can't do eagles. They 131 00:06:31,720 --> 00:06:33,240 Speaker 3: only have like a couple of babies at a time. 132 00:06:33,640 --> 00:06:36,080 Speaker 3: You want something, you want something like chickens. 133 00:06:36,080 --> 00:06:36,840 Speaker 2: Well you've thought about this. 134 00:06:37,080 --> 00:06:39,000 Speaker 3: Chickens have like you can have like twenty babies at 135 00:06:39,040 --> 00:06:41,600 Speaker 3: a time. They don't fly, well though, that's the problem. 136 00:06:41,960 --> 00:06:44,840 Speaker 3: You want them flies like seagulls. 137 00:06:44,920 --> 00:06:46,880 Speaker 2: They're always seagulls. 138 00:06:48,480 --> 00:06:51,760 Speaker 3: Yeah, they're always annoying, and they're all around, traveling like 139 00:06:51,880 --> 00:06:54,200 Speaker 3: eighty of them, and they can dive and they're full 140 00:06:54,240 --> 00:06:54,719 Speaker 3: of crap. 141 00:06:54,960 --> 00:06:55,440 Speaker 2: Yeah. 142 00:06:55,520 --> 00:06:59,040 Speaker 3: I think seagulls are ducks. Ducks, Well, ducks have a 143 00:06:59,120 --> 00:07:00,360 Speaker 3: round beak, so that's the Yeah. 144 00:07:00,440 --> 00:07:02,320 Speaker 2: Dude, what about geese, they're big. 145 00:07:02,640 --> 00:07:04,560 Speaker 1: It's true, you can throw a car off the road 146 00:07:04,600 --> 00:07:07,920 Speaker 1: if they really wanted to, you know, because remember you're 147 00:07:07,960 --> 00:07:09,600 Speaker 1: just training them to be Kamakazis. 148 00:07:10,520 --> 00:07:17,360 Speaker 2: You know. Well, welcome to the fever dream this morning. 149 00:07:17,600 --> 00:07:19,000 Speaker 3: This is just what goes on in my brain all 150 00:07:19,040 --> 00:07:20,600 Speaker 3: the time. It's kind of nice of an outlet. 151 00:07:25,480 --> 00:07:29,720 Speaker 1: We're glad we could be that sometimes. 152 00:07:29,720 --> 00:07:32,040 Speaker 2: Why I have bad, literal bad dreams when I go home. 153 00:07:33,520 --> 00:07:35,560 Speaker 3: Poor Chris is locked up in a box in this 154 00:07:35,720 --> 00:07:37,400 Speaker 3: room with me all morning, and. 155 00:07:37,600 --> 00:07:40,720 Speaker 2: It's not easy get a break. Well, yeah, I actually 156 00:07:40,720 --> 00:07:44,400 Speaker 2: would like to say I compete you do you do? You? Yeah? 157 00:07:44,480 --> 00:07:46,080 Speaker 1: My stuff, I don't. I think most of it can't 158 00:07:46,080 --> 00:07:49,320 Speaker 1: really be said on the air. That's true, sadly, Well, yeah, 159 00:07:49,360 --> 00:07:53,280 Speaker 1: I mean well, because I do it with sometimes impactful metaphors. 160 00:07:53,120 --> 00:07:55,920 Speaker 2: Which probably wouldn't work. That's fair, you know, from modern 161 00:07:55,960 --> 00:07:56,440 Speaker 2: day radio. 162 00:07:56,440 --> 00:07:58,760 Speaker 3: I'm not really nuanced enough to use metaphors most of 163 00:07:58,800 --> 00:07:59,160 Speaker 3: the time. 164 00:08:00,080 --> 00:08:01,880 Speaker 1: I think you just haven't practiced enough. You just come 165 00:08:01,960 --> 00:08:06,640 Speaker 1: up with the main diabolical idea tune. It appreciate you 166 00:08:06,720 --> 00:08:09,240 Speaker 1: listening to this episode of I Tell You What. You'll 167 00:08:09,240 --> 00:08:11,560 Speaker 1: find more on the iHeartRadio app and anywhere get your podcast. 168 00:08:11,600 --> 00:08:14,080 Speaker 1: Please rate, review, subscribe, download chair and like. 169 00:08:14,280 --> 00:08:14,640 Speaker 2: Thank you.