1 00:00:00,120 --> 00:00:03,240 Speaker 1: Sunday Hang is brought to you by Chalk Natural Supplements 2 00:00:03,279 --> 00:00:06,920 Speaker 1: for guys, gals, and nothing in between. Fuel your day 3 00:00:06,960 --> 00:00:09,880 Speaker 1: at Chalk dot Com, bold. 4 00:00:10,000 --> 00:00:15,320 Speaker 2: Reverence, and occasionally random The Sunday Hang with Playing Fuck podcast. 5 00:00:15,600 --> 00:00:16,639 Speaker 3: It starts now. 6 00:00:17,720 --> 00:00:19,759 Speaker 2: There was a period you may find this to be true, 7 00:00:19,800 --> 00:00:22,520 Speaker 2: although streaming has altered the trajectory of this a bit. 8 00:00:22,760 --> 00:00:26,040 Speaker 2: Laura and I saw every movie, and then we had kids, 9 00:00:26,440 --> 00:00:28,760 Speaker 2: and there was like nine years where we just didn't 10 00:00:28,760 --> 00:00:31,440 Speaker 2: go to the movie theater very often. So there's about 11 00:00:31,480 --> 00:00:34,240 Speaker 2: a nine or ten year gap there where my boys 12 00:00:34,280 --> 00:00:37,320 Speaker 2: were really young and streaming had not become the case 13 00:00:37,360 --> 00:00:40,680 Speaker 2: where you could easily get every movie at home nowadays, 14 00:00:40,680 --> 00:00:42,599 Speaker 2: like with you guys like I don't know what are 15 00:00:42,640 --> 00:00:44,720 Speaker 2: movies in theaters for three weeks and then you can 16 00:00:44,760 --> 00:00:46,440 Speaker 2: basically watch them whenever you want. 17 00:00:47,320 --> 00:00:49,920 Speaker 1: I used to only carry and I used to sit 18 00:00:50,040 --> 00:00:53,760 Speaker 1: and when we're done for the day. I'm very I'm 19 00:00:53,840 --> 00:00:56,840 Speaker 1: very I share this with people. I just think that 20 00:00:57,080 --> 00:00:59,520 Speaker 1: you know, one it depends how big your house is. 21 00:00:59,520 --> 00:01:00,279 Speaker 3: Our house is not. 22 00:01:00,280 --> 00:01:03,560 Speaker 1: Very big, but one TV should be enough, Like there's 23 00:01:03,600 --> 00:01:05,360 Speaker 1: a TV that you go to to watch. I know, 24 00:01:05,400 --> 00:01:07,399 Speaker 1: people get very mad at me for this, very mad 25 00:01:07,440 --> 00:01:09,039 Speaker 1: at me, but I just think one TV is enough. 26 00:01:09,120 --> 00:01:10,920 Speaker 1: But we had our one TV in the living room 27 00:01:11,200 --> 00:01:13,880 Speaker 1: and we would watch at night. And now Clay that 28 00:01:13,959 --> 00:01:17,520 Speaker 1: I'm fully into the parent thing here. What I find 29 00:01:17,600 --> 00:01:21,119 Speaker 1: is that when I'm done changing diapers and one ESI's 30 00:01:21,520 --> 00:01:25,440 Speaker 1: and and all that sort of stuff, cleaning up after dinner, 31 00:01:25,760 --> 00:01:27,760 Speaker 1: sometimes I just want to sit in the couch and 32 00:01:27,800 --> 00:01:29,880 Speaker 1: the baby's gone to bed, I just want to sit 33 00:01:29,959 --> 00:01:33,679 Speaker 1: on the couch in silence, just like just be there, 34 00:01:34,000 --> 00:01:36,320 Speaker 1: just be present and not have to do anything for 35 00:01:36,360 --> 00:01:37,880 Speaker 1: like ten minutes, for like ten minutes. 36 00:01:38,520 --> 00:01:40,840 Speaker 2: We need to grab the Joe Flacco clip that went 37 00:01:40,920 --> 00:01:44,120 Speaker 2: viral yesterday. Joe Flacco is now the quarterback of the 38 00:01:44,240 --> 00:01:46,600 Speaker 2: Cleveland Browns, and I think a lot of people out 39 00:01:46,600 --> 00:01:49,320 Speaker 2: there will understand it. He's got I think five kids 40 00:01:49,400 --> 00:01:52,960 Speaker 2: or something now and sorry. He was the quarterback Cleveland Browns, 41 00:01:53,000 --> 00:01:55,000 Speaker 2: now the quarterback in Cincinnati Bengals. And they said, hey, 42 00:01:55,040 --> 00:01:57,400 Speaker 2: is it hard your family's still in New Jerseys, Like, 43 00:01:57,480 --> 00:01:59,720 Speaker 2: is it hard you know, living away from them? And 44 00:02:00,120 --> 00:02:02,480 Speaker 2: Eddie paraphrased, he said, you know, when I was a 45 00:02:02,520 --> 00:02:04,880 Speaker 2: younger guy, I would go out to a restaurant or 46 00:02:04,920 --> 00:02:06,720 Speaker 2: a bar, and I would see a guy sitting there 47 00:02:06,720 --> 00:02:08,919 Speaker 2: by himself having a meal or having a drink, and 48 00:02:08,960 --> 00:02:11,840 Speaker 2: I would think, man, that guy must be the saddest 49 00:02:11,880 --> 00:02:15,080 Speaker 2: person on the planet. And he said, now he's like, 50 00:02:15,200 --> 00:02:17,040 Speaker 2: I am that guy out at the bar and I 51 00:02:17,080 --> 00:02:19,840 Speaker 2: got to order the restaurant. He's like, I gotta tell you, 52 00:02:19,919 --> 00:02:21,240 Speaker 2: it's it's it's pretty amazing. 53 00:02:21,360 --> 00:02:23,480 Speaker 1: Oh, it's amazing. Oh my god, I didn't know about 54 00:02:23,480 --> 00:02:25,960 Speaker 1: the You gotta find this clip. Yeah, I just had 55 00:02:26,080 --> 00:02:28,240 Speaker 1: like this clip. When I visited you in Nashville. I 56 00:02:28,440 --> 00:02:31,520 Speaker 1: just had uh or you know, we met up before 57 00:02:31,520 --> 00:02:34,240 Speaker 1: we went to Woo. I sat at a place in 58 00:02:34,280 --> 00:02:38,360 Speaker 1: the gulch, sat alone at the bar. It's magnificent. I 59 00:02:38,440 --> 00:02:40,920 Speaker 1: just ordered exactly what I wanted. No one bothered me. 60 00:02:41,360 --> 00:02:42,960 Speaker 1: It was just so nicely anything. 61 00:02:43,040 --> 00:02:44,760 Speaker 2: I will tell you, when you become a dad or 62 00:02:44,800 --> 00:02:47,040 Speaker 2: a mom and you got big families everywhere and you're 63 00:02:47,080 --> 00:02:49,240 Speaker 2: out and you eat one meal, you're like, man, food's 64 00:02:49,320 --> 00:02:51,320 Speaker 2: cheap because you're not paying for five or six people 65 00:02:51,360 --> 00:02:51,679 Speaker 2: or whatever. 66 00:02:51,720 --> 00:02:54,680 Speaker 1: That Also, I did not get hit with pureade peas 67 00:02:54,919 --> 00:02:59,440 Speaker 1: anywhere during this experience, so it was interesting. I want 68 00:02:59,480 --> 00:03:01,240 Speaker 1: to hear this because I have not heard it yet 69 00:03:01,720 --> 00:03:08,400 Speaker 1: this Joe Flacco wisdom about eating alone, Play thirty five. 70 00:03:08,800 --> 00:03:11,359 Speaker 4: I think there's always a challenge of sitting in a 71 00:03:11,440 --> 00:03:14,240 Speaker 4: room by yourself and being lonely. So for me, it's 72 00:03:14,320 --> 00:03:16,880 Speaker 4: trying to find ways to maybe stay over here a 73 00:03:16,919 --> 00:03:20,600 Speaker 4: little bit longer, and then, you know, just kind of 74 00:03:20,760 --> 00:03:24,919 Speaker 4: take myself out of that mindset, call home, go sit 75 00:03:24,919 --> 00:03:27,400 Speaker 4: at a restaurant by myself and realize that, man, that's 76 00:03:27,400 --> 00:03:33,000 Speaker 4: pretty enjoyable to do, you know, after there's not too 77 00:03:33,000 --> 00:03:35,840 Speaker 4: many situations, I tell you, I tell people all the time, 78 00:03:35,960 --> 00:03:37,520 Speaker 4: and I used to see guys sitting at a bar 79 00:03:37,560 --> 00:03:40,040 Speaker 4: by themselves, or you know, just sitting by themselves, eating 80 00:03:40,080 --> 00:03:42,120 Speaker 4: and grabbing a little meal, and like, man, I feel 81 00:03:42,160 --> 00:03:43,800 Speaker 4: so bad for that guy. You almost want to go 82 00:03:43,880 --> 00:03:46,880 Speaker 4: join them. And now I realize, like that dude was 83 00:03:46,920 --> 00:03:47,360 Speaker 4: in heaven. 84 00:03:50,360 --> 00:03:51,800 Speaker 3: And not to say. 85 00:03:51,640 --> 00:03:56,080 Speaker 4: That's that's obviously not what I want. I I'd rather 86 00:03:56,240 --> 00:03:58,280 Speaker 4: be at home, sitting at the dinner table with my 87 00:03:58,400 --> 00:04:00,800 Speaker 4: kids and hearing what the hell they were talking about 88 00:04:00,800 --> 00:04:04,400 Speaker 4: all day. But there are but but if you have 89 00:04:04,480 --> 00:04:06,120 Speaker 4: to do it, then you might as well take advantage 90 00:04:06,160 --> 00:04:06,360 Speaker 4: of it. 91 00:04:07,880 --> 00:04:10,440 Speaker 1: Dinner alone at a bar is a great thing. Once 92 00:04:10,480 --> 00:04:12,680 Speaker 1: in a while, eat family, eat, you know, have family 93 00:04:12,680 --> 00:04:14,760 Speaker 1: dinner every night you can. But if you're on the 94 00:04:14,840 --> 00:04:17,800 Speaker 1: road for work, Clay, I gotta tell you, it's very peaceful, 95 00:04:17,800 --> 00:04:18,520 Speaker 1: it's very nice. 96 00:04:19,760 --> 00:04:22,960 Speaker 2: It's also so much more affordable. I've been on the 97 00:04:23,000 --> 00:04:25,480 Speaker 2: road a lot for work and I will get a 98 00:04:25,560 --> 00:04:28,039 Speaker 2: nice take and a nice you know, maybe a nice 99 00:04:28,040 --> 00:04:31,159 Speaker 2: old fashion with it, and you know, some big fry 100 00:04:31,279 --> 00:04:33,720 Speaker 2: steak fries, and I get the bill and I'm like, man, 101 00:04:34,600 --> 00:04:37,599 Speaker 2: this is this is It's amazing, just because when you're 102 00:04:37,720 --> 00:04:39,159 Speaker 2: used and I know a lot of people out there 103 00:04:39,200 --> 00:04:41,080 Speaker 2: know what I'm talking about, when you're used to paying 104 00:04:41,120 --> 00:04:44,760 Speaker 2: for the entire family to go anywhere, it's super expensive. 105 00:04:45,000 --> 00:04:47,240 Speaker 2: And uh yeah, it's not a bad not a bad 106 00:04:47,240 --> 00:04:47,640 Speaker 2: thing there. 107 00:04:47,720 --> 00:04:51,279 Speaker 3: Uh Heaven. As Joe Flacco might say, Sunday, hang with 108 00:04:51,440 --> 00:04:52,160 Speaker 3: Clay and Buck. 109 00:04:52,839 --> 00:04:55,560 Speaker 2: We just had the call Christy. Was it Christy who 110 00:04:55,560 --> 00:04:59,280 Speaker 2: called in from from Utah? She was talking about the 111 00:04:59,360 --> 00:05:02,440 Speaker 2: job market she works in HR and the challenges that 112 00:05:02,520 --> 00:05:05,480 Speaker 2: she is seeing. I'm sure that many of you who 113 00:05:05,520 --> 00:05:07,720 Speaker 2: are looking for jobs have seen the same thing. Here's 114 00:05:07,760 --> 00:05:09,360 Speaker 2: what I think is going on, Buck, and you can 115 00:05:09,800 --> 00:05:12,920 Speaker 2: sign on or not sign on to this. I think 116 00:05:12,960 --> 00:05:21,920 Speaker 2: that AI is going to be incredibly transformative for many 117 00:05:22,000 --> 00:05:26,360 Speaker 2: different companies out there. And I actually think that some 118 00:05:26,440 --> 00:05:30,520 Speaker 2: of the jobs that are being pushed aside right now 119 00:05:31,000 --> 00:05:34,560 Speaker 2: are actually more white collar than blue collar in nature. 120 00:05:35,279 --> 00:05:36,840 Speaker 3: And so there are certain jobs. 121 00:05:36,920 --> 00:05:39,320 Speaker 2: Let's say you're a plumber right now, I don't think 122 00:05:39,320 --> 00:05:42,120 Speaker 2: there's AI plumbing that is taking away your job. I 123 00:05:42,120 --> 00:05:45,080 Speaker 2: don't think that if you're a roofer, there's AI roofing 124 00:05:45,160 --> 00:05:46,640 Speaker 2: that is changing what you're doing. 125 00:05:46,720 --> 00:05:48,560 Speaker 3: Truck driving, so far, all those. 126 00:05:48,360 --> 00:05:51,800 Speaker 2: Things quote unquote blue collar jobs, working with your hands 127 00:05:51,920 --> 00:05:54,159 Speaker 2: in some sort of factory. I think there are a 128 00:05:54,200 --> 00:05:58,640 Speaker 2: lot of thought related so called white collar jobs. Then 129 00:05:58,680 --> 00:06:01,520 Speaker 2: a lot of companies are just not filling right now 130 00:06:01,880 --> 00:06:06,039 Speaker 2: because they don't know necessarily how quickly AI is going 131 00:06:06,080 --> 00:06:09,040 Speaker 2: to advance and eliminate a lot of these jobs. And 132 00:06:09,080 --> 00:06:11,159 Speaker 2: so I think there's a bit of an inversion in 133 00:06:11,200 --> 00:06:14,599 Speaker 2: the job market where there are a lot of people 134 00:06:14,600 --> 00:06:17,359 Speaker 2: who felt very confident, Hey, I'm always going to have 135 00:06:17,400 --> 00:06:19,480 Speaker 2: a job, and I talk about this with my boys 136 00:06:19,520 --> 00:06:22,360 Speaker 2: even now. I buck I think a lot of lawyers 137 00:06:22,839 --> 00:06:25,039 Speaker 2: are going to be losing their jobs in the years ahead, 138 00:06:25,080 --> 00:06:28,760 Speaker 2: because when I graduated law school, you had twenty five 139 00:06:28,839 --> 00:06:30,880 Speaker 2: year old lawyers who would sit in front of a 140 00:06:30,880 --> 00:06:34,520 Speaker 2: computer screen and would be looking through documents and flagging 141 00:06:34,560 --> 00:06:37,599 Speaker 2: the relevant documents and all these things, billing hundreds of dollars. 142 00:06:38,120 --> 00:06:39,919 Speaker 2: That's going to become automated. I think a lot of 143 00:06:39,960 --> 00:06:42,240 Speaker 2: these consulting jobs that people got, a lot of these 144 00:06:42,279 --> 00:06:46,600 Speaker 2: investment banking jobs, they are remember the super skilled. 145 00:06:46,839 --> 00:06:52,760 Speaker 1: If you remember share In the Timeless classic, Clueless gets 146 00:06:52,800 --> 00:06:57,520 Speaker 1: into trouble with the mean associate lawyer because she highlights 147 00:06:58,279 --> 00:07:00,680 Speaker 1: the June ninth calls or whatever, and she's supposed to 148 00:07:00,760 --> 00:07:04,200 Speaker 1: highlight the June fifth calls. But in the nineties you 149 00:07:04,320 --> 00:07:06,599 Speaker 1: had lawyers who were making hundreds and hundreds of dollars 150 00:07:06,640 --> 00:07:09,920 Speaker 1: an hour doing stuff like that, going through phone records. 151 00:07:09,920 --> 00:07:11,640 Speaker 5: Not even just the nineties, I mean until recently. 152 00:07:12,320 --> 00:07:15,760 Speaker 1: Uh the once you start to use AI as a tool, 153 00:07:16,000 --> 00:07:17,680 Speaker 1: and I would recommend that all of you do so 154 00:07:17,800 --> 00:07:18,559 Speaker 1: for your own lives. 155 00:07:18,600 --> 00:07:19,120 Speaker 5: As a tool. 156 00:07:19,360 --> 00:07:21,480 Speaker 1: Look, I'll tell you, and it tells you don't do this, 157 00:07:21,680 --> 00:07:23,120 Speaker 1: or rather it doesn't say don't do this, it says 158 00:07:23,200 --> 00:07:26,440 Speaker 1: don't rely on this. I've uploaded my blood work to GROC. 159 00:07:27,200 --> 00:07:29,600 Speaker 3: To try to get ideas for health for. 160 00:07:29,840 --> 00:07:34,000 Speaker 1: Like because because the doctor, you know, the doctor, as 161 00:07:34,000 --> 00:07:35,800 Speaker 1: you all know, you go in there. For the most part, 162 00:07:35,840 --> 00:07:37,640 Speaker 1: you get you get your five minutes with the doctor. 163 00:07:37,800 --> 00:07:39,840 Speaker 1: Here's the big problem, here's this whatever. I'm like, well, 164 00:07:39,880 --> 00:07:42,080 Speaker 1: what about this? What about that? I'm always a person 165 00:07:42,160 --> 00:07:45,400 Speaker 1: who I have more questions than the doctor wants to answer. 166 00:07:46,440 --> 00:07:48,000 Speaker 1: I can sit there and ask. Now, groc will tell 167 00:07:48,040 --> 00:07:50,480 Speaker 1: you it's not a doctor. Same thing with Gemini and 168 00:07:50,520 --> 00:07:53,400 Speaker 1: these other you know, uh chat ept and so you 169 00:07:53,400 --> 00:07:55,880 Speaker 1: should always consult with your doctor. But if you're just 170 00:07:55,920 --> 00:08:00,080 Speaker 1: you know, so there's that disclaimer. But it is amazing 171 00:08:00,160 --> 00:08:03,520 Speaker 1: the detailed information, factual information you can get on these things. 172 00:08:04,200 --> 00:08:07,000 Speaker 1: But do you remember that scene from Clueless, right, oh yeah, it's. 173 00:08:06,880 --> 00:08:07,360 Speaker 3: A great movie. 174 00:08:07,400 --> 00:08:09,040 Speaker 1: And he's like he's like, you do what you want 175 00:08:09,040 --> 00:08:11,960 Speaker 1: with your butts. I'm calling in sick. And then she's 176 00:08:12,000 --> 00:08:16,320 Speaker 1: like so sad. And then she gets romantic with her stepbrother, 177 00:08:16,760 --> 00:08:18,800 Speaker 1: which I feel like everyone is just a little too 178 00:08:18,880 --> 00:08:22,360 Speaker 1: okay with in that movie. Remember that played by Paul 179 00:08:22,440 --> 00:08:26,200 Speaker 1: rud Josh. Yeah, Josh is the stepbrother and they're playing 180 00:08:26,240 --> 00:08:28,600 Speaker 1: smoochy smooch. But it's like, that's your stepbrother. I think 181 00:08:28,600 --> 00:08:29,360 Speaker 1: that's weird. 182 00:08:29,720 --> 00:08:33,080 Speaker 2: Do you think that Paul Rudd is maybe one of 183 00:08:33,080 --> 00:08:36,240 Speaker 2: the people who has least aged in the last thirty 184 00:08:36,280 --> 00:08:38,200 Speaker 2: five years. I mean, I don't know what he does, 185 00:08:38,720 --> 00:08:41,720 Speaker 2: but if you look at him in basically his entire 186 00:08:41,840 --> 00:08:44,760 Speaker 2: acting career, he doesn't look very different now than he 187 00:08:44,800 --> 00:08:47,360 Speaker 2: did all the way back. He's basically looked thirty for 188 00:08:47,400 --> 00:08:48,840 Speaker 2: about thirty five years. 189 00:08:49,760 --> 00:08:52,560 Speaker 1: That sounds about right, probably, Yeah, yeah, he's not going 190 00:08:52,679 --> 00:08:56,080 Speaker 1: at Tom Cruise level where you're like, what what alien 191 00:08:56,200 --> 00:08:59,840 Speaker 1: science experiments are being run to make him still look 192 00:09:00,400 --> 00:09:02,559 Speaker 1: like he should be running around doing fly kicks when 193 00:09:02,559 --> 00:09:03,880 Speaker 1: the guy's like my dad's age. 194 00:09:03,920 --> 00:09:04,960 Speaker 5: But yeah, sure, right. 195 00:09:05,600 --> 00:09:08,000 Speaker 2: What Let me ask you this though, do you sign 196 00:09:08,040 --> 00:09:12,160 Speaker 2: on to my idea that AI initially is having more 197 00:09:12,280 --> 00:09:15,840 Speaker 2: of an upper middle class job impact than it is 198 00:09:16,240 --> 00:09:18,520 Speaker 2: lower You know, when I say class, I mean like 199 00:09:18,559 --> 00:09:19,720 Speaker 2: what your salary is. 200 00:09:20,040 --> 00:09:24,439 Speaker 1: It's an enormous white collar. It's an enormous efficiency tool 201 00:09:24,840 --> 00:09:30,280 Speaker 1: for bureaucratic and paper shuffling kind of work. And so 202 00:09:30,360 --> 00:09:33,440 Speaker 1: there are a lot of people who work on who 203 00:09:33,480 --> 00:09:34,640 Speaker 1: have jobs where that. 204 00:09:34,760 --> 00:09:38,000 Speaker 5: Is their job. What is the job really entail? 205 00:09:38,040 --> 00:09:41,920 Speaker 1: It entails doing, you know, doing research for things, going 206 00:09:41,960 --> 00:09:47,160 Speaker 1: through things, finding things, well now you can upload a 207 00:09:47,600 --> 00:09:50,360 Speaker 1: you know, you can upload one hundred thousand pages if 208 00:09:50,360 --> 00:09:53,120 Speaker 1: you want to into some of these AI programs, and 209 00:09:53,160 --> 00:09:57,199 Speaker 1: it will give you every citation or every every statistical 210 00:09:57,200 --> 00:10:00,520 Speaker 1: example of whatever you're looking for and can do it 211 00:10:00,520 --> 00:10:03,280 Speaker 1: in a couple of minutes. So you think about the 212 00:10:03,320 --> 00:10:06,240 Speaker 1: time savings. We actually talked to doctor Marty McCay about 213 00:10:06,240 --> 00:10:08,880 Speaker 1: this and what's going on with the FDA. Yeah, for 214 00:10:09,679 --> 00:10:13,839 Speaker 1: massive medical trials, you know, which they do these big 215 00:10:13,920 --> 00:10:17,680 Speaker 1: you know, ten year, fifteen thousand person data sets and 216 00:10:17,720 --> 00:10:19,920 Speaker 1: all this this is gonna make that No, that's just 217 00:10:19,960 --> 00:10:22,400 Speaker 1: a I think that's nothing but upside. But to your 218 00:10:22,440 --> 00:10:24,680 Speaker 1: point about some of these jobs. And here's what we 219 00:10:24,720 --> 00:10:27,040 Speaker 1: had an HR A lady from HR calling before, right, 220 00:10:27,760 --> 00:10:29,240 Speaker 1: just saying that out loud. I feel like I'm about 221 00:10:29,240 --> 00:10:30,240 Speaker 1: to get in trouble for something. 222 00:10:30,320 --> 00:10:32,760 Speaker 3: Yeah, right, We're gonna get in HR lady call for sure. 223 00:10:33,040 --> 00:10:34,640 Speaker 1: So it's just gonna be honest, Clay and I have 224 00:10:34,720 --> 00:10:36,920 Speaker 1: existed in the world where you never want to hear 225 00:10:36,920 --> 00:10:37,880 Speaker 1: from the HR lady. 226 00:10:37,960 --> 00:10:42,320 Speaker 5: I'm just gonna it's like, you know, especially. 227 00:10:41,960 --> 00:10:43,480 Speaker 1: If it's a lady, I don't know, You're just gonna 228 00:10:43,480 --> 00:10:45,800 Speaker 1: get where it just means that we said something might 229 00:10:45,800 --> 00:10:46,960 Speaker 1: have been a joke that was made. 230 00:10:47,360 --> 00:10:50,120 Speaker 2: Might Does anyone get excited when the phone rings and 231 00:10:50,160 --> 00:10:53,200 Speaker 2: they're like, hey, it's HR. You're like, oh no, Like 232 00:10:53,320 --> 00:10:55,840 Speaker 2: there's nobody out there listening to us right now. That's 233 00:10:55,880 --> 00:10:57,880 Speaker 2: like I've been waiting for this call. Thank the Lord. 234 00:10:58,000 --> 00:10:59,760 Speaker 1: I'm so a little bit like what I get my 235 00:11:00,440 --> 00:11:03,880 Speaker 1: when I get a letter that says Internal Revenue Service 236 00:11:03,920 --> 00:11:04,120 Speaker 1: on it. 237 00:11:04,160 --> 00:11:07,320 Speaker 5: I'm never like, oh sweet, I want to open this one. 238 00:11:08,360 --> 00:11:11,280 Speaker 1: So now I understand HR people are probably all very 239 00:11:11,280 --> 00:11:13,640 Speaker 1: annoyed with us right now and would not hire us, 240 00:11:13,679 --> 00:11:15,720 Speaker 1: But they would say, what about when I have the 241 00:11:15,760 --> 00:11:18,640 Speaker 1: amazing news of giving somebody their dream job? And of 242 00:11:18,679 --> 00:11:21,320 Speaker 1: course that is a This was like what Clay the 243 00:11:21,320 --> 00:11:23,960 Speaker 1: one the one season of high school soccer I coached. 244 00:11:24,520 --> 00:11:27,680 Speaker 1: The greatest thing was the joy on the faces of 245 00:11:27,720 --> 00:11:29,880 Speaker 1: the kids who wanted to make the team so bad 246 00:11:30,000 --> 00:11:31,640 Speaker 1: and were marginal who. 247 00:11:31,480 --> 00:11:32,320 Speaker 5: Made it that there we had. 248 00:11:32,360 --> 00:11:34,840 Speaker 1: I had a couple of like stuperstars who were going 249 00:11:34,920 --> 00:11:36,800 Speaker 1: to go play in college, but I had two or three. 250 00:11:36,880 --> 00:11:38,480 Speaker 1: I was like, well, these kids are you know, they're 251 00:11:38,559 --> 00:11:40,480 Speaker 1: they're like better than I ever was, and they're freshmen 252 00:11:41,320 --> 00:11:43,040 Speaker 1: and then you know, there were kids that were marginal. 253 00:11:43,160 --> 00:11:45,640 Speaker 1: That was the greatest thing. The worst thing was the 254 00:11:45,720 --> 00:11:47,720 Speaker 1: kids who teared up when they were close and didn't 255 00:11:47,720 --> 00:11:49,040 Speaker 1: make it and I had to tell them, you know 256 00:11:49,080 --> 00:11:51,880 Speaker 1: what I mean. That's the so HR cuts both ways, 257 00:11:51,960 --> 00:11:53,559 Speaker 1: right because yeah, on the one side you get to 258 00:11:53,559 --> 00:11:56,280 Speaker 1: tell people dream job. The other side it's I know 259 00:11:56,320 --> 00:11:58,680 Speaker 1: this would have been a life changing salary increase for you, 260 00:11:58,760 --> 00:12:01,640 Speaker 1: but we anyway. So I think though an HR and 261 00:12:01,679 --> 00:12:05,120 Speaker 1: particularly you're seeing AI is because it's large data sets, 262 00:12:05,559 --> 00:12:09,360 Speaker 1: it's efficiency based, and their AI is doing the job 263 00:12:09,400 --> 00:12:11,160 Speaker 1: of a lot of HR people right now. And that 264 00:12:11,240 --> 00:12:13,400 Speaker 1: is our that is written about. That is clear, that 265 00:12:13,520 --> 00:12:15,960 Speaker 1: is happening. So what is HR really going to be 266 00:12:16,000 --> 00:12:18,160 Speaker 1: doing because it's just gonna you're gonna set your parameters. 267 00:12:18,200 --> 00:12:20,760 Speaker 1: I need X amount of years of experience I need, 268 00:12:20,800 --> 00:12:23,360 Speaker 1: you know, I'm gonna look up, prioritize the following schools, 269 00:12:23,360 --> 00:12:25,880 Speaker 1: et cetera, et cetera. You can have somebody do this 270 00:12:25,920 --> 00:12:28,560 Speaker 1: now with ten thousand resumes and give you your top ten 271 00:12:28,600 --> 00:12:30,520 Speaker 1: resumes in five minutes, three minutes. 272 00:12:31,920 --> 00:12:33,360 Speaker 3: I think that's one hundred percent right. 273 00:12:33,440 --> 00:12:36,320 Speaker 2: I also think there's just a lot of pause on 274 00:12:36,520 --> 00:12:39,920 Speaker 2: hiring on those jobs because companies are saying, wait a minute, 275 00:12:40,360 --> 00:12:43,439 Speaker 2: maybe we don't fill that opening that we have. Look, 276 00:12:43,559 --> 00:12:49,440 Speaker 2: and here is the Elon has come out recently and said, hey, 277 00:12:49,480 --> 00:12:52,080 Speaker 2: we're rapidly advancing to a world I think he said 278 00:12:52,120 --> 00:12:54,840 Speaker 2: the other day where having a job will be like 279 00:12:55,000 --> 00:12:58,600 Speaker 2: growing your own produce. People can choose to do it, 280 00:12:59,160 --> 00:13:01,560 Speaker 2: but it's not going to be the standard. 281 00:13:01,600 --> 00:13:01,800 Speaker 3: Now. 282 00:13:01,800 --> 00:13:04,880 Speaker 2: These are people who believe that AI is truly, over 283 00:13:04,920 --> 00:13:07,920 Speaker 2: the next ten to fifteen years, going to be transformative 284 00:13:07,960 --> 00:13:11,439 Speaker 2: in a way that frankly most of us can't even comprehend, 285 00:13:11,920 --> 00:13:14,439 Speaker 2: and that we're going to basically have to figure out 286 00:13:14,480 --> 00:13:19,199 Speaker 2: a way to reorient society without working being a huge 287 00:13:19,200 --> 00:13:19,640 Speaker 2: part of it. 288 00:13:20,200 --> 00:13:25,040 Speaker 1: This is where I'm reminded of Neval who I've mentioned 289 00:13:25,120 --> 00:13:28,080 Speaker 1: several times before on the show Silicon Valley Guy, founder 290 00:13:28,080 --> 00:13:30,079 Speaker 1: of Angel List. It's been on a lot of the 291 00:13:30,080 --> 00:13:33,440 Speaker 1: big podcasts, and I just think is a very interesting 292 00:13:33,480 --> 00:13:37,800 Speaker 1: and sound thinker on things like this in particular. And 293 00:13:37,840 --> 00:13:41,800 Speaker 1: he breaks this down clay into wealth versus status in 294 00:13:41,880 --> 00:13:45,400 Speaker 1: society and wealth and I think you very much take 295 00:13:45,440 --> 00:13:47,840 Speaker 1: this approach in general, like this is a part of 296 00:13:47,880 --> 00:13:49,960 Speaker 1: your We talked to this at WOWO and they're asking, 297 00:13:50,120 --> 00:13:50,920 Speaker 1: what do you know about Claire? 298 00:13:50,960 --> 00:13:51,720 Speaker 5: What do you know about Buck? 299 00:13:52,040 --> 00:13:54,920 Speaker 1: I think you believe that there are ways that everybody 300 00:13:54,920 --> 00:13:57,360 Speaker 1: can win and everybody can be doing better. And that's 301 00:13:57,360 --> 00:14:01,120 Speaker 1: true about wealth and anybody who denies that at all 302 00:14:01,160 --> 00:14:04,320 Speaker 1: of you right now? Who are who are driving around 303 00:14:04,440 --> 00:14:09,000 Speaker 1: in your car with your you know, your Venti Starbucks 304 00:14:09,000 --> 00:14:13,479 Speaker 1: hopefully your Crockett Coffee actually, but in your heated seats, 305 00:14:14,080 --> 00:14:17,600 Speaker 1: with your air bags, on your iPhone everything else. You 306 00:14:17,640 --> 00:14:22,080 Speaker 1: are living in a space age, unimaginable future of wealth 307 00:14:22,720 --> 00:14:26,280 Speaker 1: compared to what King Henry the eighth, like the actual 308 00:14:26,400 --> 00:14:29,840 Speaker 1: king would have had, right you, your health of us that. 309 00:14:29,920 --> 00:14:33,280 Speaker 2: Live better now than the wealthiest people did two hundred 310 00:14:33,360 --> 00:14:33,720 Speaker 2: years ago. 311 00:14:33,800 --> 00:14:36,720 Speaker 1: Yeah, basically your your healthcare is better, your food is better, 312 00:14:36,800 --> 00:14:38,520 Speaker 1: your your comfort is better. 313 00:14:38,600 --> 00:14:40,120 Speaker 5: Your bed gotta get. 314 00:14:39,960 --> 00:14:42,280 Speaker 1: Those sheets from you know what I'm talking about Cozy 315 00:14:42,320 --> 00:14:43,960 Speaker 1: Earth King Henry. 316 00:14:44,240 --> 00:14:47,440 Speaker 5: Henry, You know he was robust. He didn't have cozy 317 00:14:47,440 --> 00:14:49,360 Speaker 5: Earth sheets. You got. 318 00:14:49,400 --> 00:14:52,960 Speaker 1: You have incredible wealth. Status is I'm in a better 319 00:14:53,000 --> 00:14:55,960 Speaker 1: place than you. Status is how do I stack up 320 00:14:56,000 --> 00:14:56,960 Speaker 1: to him or her? 321 00:14:57,120 --> 00:14:57,280 Speaker 5: Right? 322 00:14:57,360 --> 00:14:59,720 Speaker 1: Status is a different thing. And he says the people 323 00:14:59,720 --> 00:15:02,160 Speaker 1: should always separate those in their minds. And when you're 324 00:15:02,160 --> 00:15:05,960 Speaker 1: talking about AI, you're talking about what should be able 325 00:15:06,040 --> 00:15:13,200 Speaker 1: to be widely distributed increases of societal and global wealth 326 00:15:13,960 --> 00:15:15,960 Speaker 1: along the lines of what we're talking about, which is 327 00:15:16,040 --> 00:15:18,840 Speaker 1: everybody has more. But it might get to the point 328 00:15:18,840 --> 00:15:21,680 Speaker 1: where everybody has so much more that people start to 329 00:15:21,760 --> 00:15:25,880 Speaker 1: hyper focus on what somebody next to them has instead 330 00:15:25,880 --> 00:15:28,520 Speaker 1: of what they have. And this is where you get 331 00:15:28,520 --> 00:15:31,880 Speaker 1: into whether people will be happy, whether people will be 332 00:15:31,960 --> 00:15:33,240 Speaker 1: fulfilled by these things? 333 00:15:33,400 --> 00:15:35,040 Speaker 5: Will will you really be fulfilled? 334 00:15:35,080 --> 00:15:37,280 Speaker 1: If you have I don't remember the name of the 335 00:15:37,400 --> 00:15:40,640 Speaker 1: robotic made from the Jetsons, but cleaning up everything grow, 336 00:15:40,760 --> 00:15:44,880 Speaker 1: Thank you Rosie making your food, cleaning up everything. You're 337 00:15:44,920 --> 00:15:47,080 Speaker 1: still gonna have wants and needs as a human being. 338 00:15:47,400 --> 00:15:49,040 Speaker 1: You know you're still you know this is this is 339 00:15:49,080 --> 00:15:51,280 Speaker 1: by the way, Clay. I also think, and I put 340 00:15:51,320 --> 00:15:53,360 Speaker 1: myself this category two. A lot of people have really 341 00:15:53,960 --> 00:15:56,320 Speaker 1: earnestly gone back to their faith and gone back to 342 00:15:56,400 --> 00:16:00,200 Speaker 1: church in recent years because I think they see you 343 00:16:00,200 --> 00:16:03,480 Speaker 1: now chasing the material things. Material things may get really 344 00:16:03,520 --> 00:16:06,680 Speaker 1: boring soon because everyone's going to have their material needs met. 345 00:16:07,800 --> 00:16:11,320 Speaker 2: Yeah, And for Christy who called in keep your head 346 00:16:11,400 --> 00:16:16,240 Speaker 2: up I've been fired multiple times. I've lost my jobs 347 00:16:16,360 --> 00:16:20,360 Speaker 2: multiple times. I know how stressful that entire process is. 348 00:16:20,440 --> 00:16:22,200 Speaker 2: I know there are lots of you out there in 349 00:16:22,240 --> 00:16:25,840 Speaker 2: this camp, and we hope again that you're going to 350 00:16:25,880 --> 00:16:27,400 Speaker 2: find employment, and all of you are going to find 351 00:16:27,400 --> 00:16:30,720 Speaker 2: employment sooner rather than later. I do think at a 352 00:16:30,760 --> 00:16:35,400 Speaker 2: big picture part of what's going on is AI disruption 353 00:16:35,560 --> 00:16:38,160 Speaker 2: that is starting to work its way through the economy. 354 00:16:38,240 --> 00:16:42,920 Speaker 2: And frankly, I'm not smart enough to understand exactly what 355 00:16:43,040 --> 00:16:45,480 Speaker 2: the full on ramifications of this are going to be. 356 00:16:45,600 --> 00:16:48,880 Speaker 2: But some of the smartest people in the world believe 357 00:16:48,960 --> 00:16:51,320 Speaker 2: that the next decade is going to be transformative on 358 00:16:51,360 --> 00:16:53,720 Speaker 2: a level we may not even be able to comprehend 359 00:16:53,800 --> 00:16:54,240 Speaker 2: right now. 360 00:16:54,640 --> 00:16:57,800 Speaker 1: Yeah, it may make the Internet look like small potatoes 361 00:16:57,840 --> 00:16:59,960 Speaker 1: by comparison. Just one thing I would say for anyone 362 00:17:00,000 --> 00:17:02,640 Speaker 1: who's listening who's having trouble finding a job. In my 363 00:17:02,880 --> 00:17:06,399 Speaker 1: experience and I've had, I've had very different kinds of careers, 364 00:17:06,440 --> 00:17:09,320 Speaker 1: two very different careers really and looked, I've worked in 365 00:17:09,320 --> 00:17:11,359 Speaker 1: different kinds of things. So is Clay and Clay started 366 00:17:11,400 --> 00:17:17,320 Speaker 1: companies especially now, don't just rely on blind resumes if 367 00:17:17,320 --> 00:17:18,919 Speaker 1: you want to send those in that's fine, you know, 368 00:17:19,000 --> 00:17:21,760 Speaker 1: send them into that inbox. It could work. It could work. 369 00:17:22,359 --> 00:17:26,159 Speaker 1: Talk to people, and I really mean that. You know, 370 00:17:26,200 --> 00:17:28,560 Speaker 1: you're you're at a car dealership that seems like it's 371 00:17:28,560 --> 00:17:31,119 Speaker 1: just really really well run, and you think you'd be 372 00:17:31,160 --> 00:17:31,920 Speaker 1: good in sales. 373 00:17:33,040 --> 00:17:33,640 Speaker 5: Talk to them. 374 00:17:33,960 --> 00:17:35,040 Speaker 3: Yeah, just just start. 375 00:17:35,200 --> 00:17:36,720 Speaker 5: You don't have to be like, hey, I want a job. 376 00:17:36,880 --> 00:17:40,159 Speaker 1: Just start, you know, start gathering that information, creating that 377 00:17:40,240 --> 00:17:41,200 Speaker 1: contact with people. 378 00:17:41,400 --> 00:17:42,760 Speaker 5: I think this is true. 379 00:17:42,960 --> 00:17:45,399 Speaker 1: For a whole range of things, but for finding a job, 380 00:17:45,600 --> 00:17:49,080 Speaker 1: people get jobs from other people. You actually don't get 381 00:17:49,119 --> 00:17:53,520 Speaker 1: a job from an email inbox. Always remember that Sundays 382 00:17:53,640 --> 00:17:56,120 Speaker 1: with Clay and Box, we. 383 00:17:56,119 --> 00:17:58,439 Speaker 2: Got an email rolling in here from a VIP. I 384 00:17:58,440 --> 00:18:01,879 Speaker 2: thought this was funny. Matt Wright caught up yesterday on 385 00:18:01,960 --> 00:18:05,440 Speaker 2: the Sunday Hang. I encourage all of you. Sunday Hang 386 00:18:05,560 --> 00:18:08,120 Speaker 2: is fun, just like a not very serious. If you're 387 00:18:08,160 --> 00:18:10,040 Speaker 2: just looking for something to hang with, it's a great 388 00:18:10,119 --> 00:18:13,159 Speaker 2: name for it. Producer ally puts this together. I have 389 00:18:13,200 --> 00:18:15,959 Speaker 2: a bone to pick with you for two horrible takes 390 00:18:16,320 --> 00:18:18,800 Speaker 2: number one, and I'm gonna stand by these takes, Buck, 391 00:18:18,800 --> 00:18:20,720 Speaker 2: but I want you to hear them. Chick fil A 392 00:18:20,920 --> 00:18:25,600 Speaker 2: biscuits are terrible, way too sweet. Your credibility took a 393 00:18:25,680 --> 00:18:29,679 Speaker 2: nose dive after hyping them up. I will go to 394 00:18:29,800 --> 00:18:33,040 Speaker 2: war that Chick fil A biscuits are amazing, and I 395 00:18:33,119 --> 00:18:36,280 Speaker 2: bet I have an entire army of people lining up 396 00:18:36,280 --> 00:18:39,120 Speaker 2: behind me. Matt, you're wrong on that second part. 397 00:18:39,119 --> 00:18:39,320 Speaker 3: Here. 398 00:18:39,800 --> 00:18:42,960 Speaker 2: You grilled Buck on why he showered in a swimsuit 399 00:18:43,000 --> 00:18:46,320 Speaker 2: with his dog, Ginger after she rolled around in poop, 400 00:18:47,000 --> 00:18:50,639 Speaker 2: paraphrasing Buck's response, I wanted to protect my man region 401 00:18:50,680 --> 00:18:53,640 Speaker 2: from dog peep dog poop. How about I don't want 402 00:18:53,640 --> 00:18:56,720 Speaker 2: to shower with my dog naked. That'd be a strange 403 00:18:56,760 --> 00:19:00,679 Speaker 2: thing to do. And then he comes after me, and 404 00:19:00,720 --> 00:19:04,600 Speaker 2: then he comes after me. Hold on, Clay, love you man, 405 00:19:04,960 --> 00:19:08,359 Speaker 2: But after hearing your sentiment on nudity, you strike me 406 00:19:08,400 --> 00:19:10,760 Speaker 2: as one of the old guys at the gym who 407 00:19:10,880 --> 00:19:13,600 Speaker 2: chills in the locker room for way too long, strikes 408 00:19:13,680 --> 00:19:18,399 Speaker 2: up conversations with everyone while all caps fuck naked. 409 00:19:19,000 --> 00:19:22,440 Speaker 3: Cheers. Fella, keep up the good work. I think it would. 410 00:19:22,520 --> 00:19:24,919 Speaker 2: I think I understand your argument for why you were 411 00:19:24,920 --> 00:19:29,199 Speaker 2: in a swimsuit. I think it's weirder to be in 412 00:19:29,240 --> 00:19:31,800 Speaker 2: the shower with the dog in a swimsuit can we. 413 00:19:33,480 --> 00:19:34,399 Speaker 3: Swim trunks? 414 00:19:34,600 --> 00:19:37,040 Speaker 5: Can you call them swim trunks or something? Or swim shorts? 415 00:19:37,080 --> 00:19:38,720 Speaker 1: You know, swimsuit makes it so all like I'm wearing 416 00:19:38,720 --> 00:19:40,760 Speaker 1: a one piece in there, but yes, yes, swimsuit. 417 00:19:40,800 --> 00:19:43,640 Speaker 2: I don't think the dog would be troubled by your nudity, 418 00:19:44,000 --> 00:19:46,080 Speaker 2: and and maybe I will. 419 00:19:46,560 --> 00:19:47,800 Speaker 5: May this may shock the collar. 420 00:19:47,920 --> 00:19:51,760 Speaker 1: The dog is naked when it sleeps in my bed 421 00:19:51,840 --> 00:19:54,880 Speaker 1: every night. The dog is constantly walking. The dog walks 422 00:19:54,880 --> 00:19:58,000 Speaker 1: around my house naked all the time. Doesn't even care, 423 00:19:58,320 --> 00:20:00,840 Speaker 1: So I don't think the dog minds. I'll also point 424 00:20:00,880 --> 00:20:03,119 Speaker 1: this out. I'm not a locker room naked guy, but 425 00:20:03,920 --> 00:20:06,080 Speaker 1: I don't care if people see me naked. 426 00:20:06,560 --> 00:20:09,159 Speaker 2: Most of my life has been trying to get people 427 00:20:09,200 --> 00:20:11,760 Speaker 2: to be willing to see me naked as a single man. 428 00:20:12,440 --> 00:20:14,040 Speaker 3: We have a new house that we built. 429 00:20:14,119 --> 00:20:18,760 Speaker 2: Buck the window, the mirrors, I mean the window treatments 430 00:20:18,760 --> 00:20:21,600 Speaker 2: are not in yet, and there are people building across 431 00:20:21,640 --> 00:20:24,320 Speaker 2: the street. I just walked through right naked. My wife 432 00:20:24,359 --> 00:20:26,200 Speaker 2: is like, oh my god, they're gonna see you. Why 433 00:20:26,200 --> 00:20:29,800 Speaker 2: do I care? It's all male construction workers. Now, She, 434 00:20:30,200 --> 00:20:32,919 Speaker 2: because she is a woman, is used to people trying 435 00:20:32,920 --> 00:20:35,720 Speaker 2: to see her naked, so she protects her nudity. I 436 00:20:35,760 --> 00:20:38,200 Speaker 2: got no issues if people want to watch me as 437 00:20:38,240 --> 00:20:40,600 Speaker 2: I'm walking from my shower to go get my first 438 00:20:40,600 --> 00:20:43,520 Speaker 2: it's not that exciting of a view for the construction guys. 439 00:20:43,560 --> 00:20:46,280 Speaker 2: I'm sorry, but I'm not going to be running across 440 00:20:46,359 --> 00:20:48,960 Speaker 2: like the room like trying to shield myself like there's 441 00:20:48,960 --> 00:20:51,800 Speaker 2: some like great scandal of minudity. 442 00:20:52,080 --> 00:20:53,120 Speaker 3: So maybe I am the. 443 00:20:53,080 --> 00:20:55,240 Speaker 5: Old actually blown right now. 444 00:20:55,400 --> 00:20:58,959 Speaker 2: Brian and Wooster, I said that Buck needs to prepare 445 00:20:59,040 --> 00:21:03,040 Speaker 2: himself for Gavin Newsom to be campaigning in the South 446 00:21:03,640 --> 00:21:07,919 Speaker 2: and suddenly debut a great and by great I mean. 447 00:21:07,880 --> 00:21:09,720 Speaker 3: Ridiculous Southern accent. 448 00:21:10,640 --> 00:21:14,160 Speaker 2: And I said, we need a mixture between Keanu Reeves 449 00:21:14,440 --> 00:21:17,960 Speaker 2: and a guy from Mobile, Alabama. And Brian says he's 450 00:21:17,960 --> 00:21:19,879 Speaker 2: got a theory for you, Buck, on a little bit 451 00:21:19,920 --> 00:21:20,440 Speaker 2: of research. 452 00:21:20,720 --> 00:21:21,720 Speaker 3: Let's play. Ahh. 453 00:21:21,800 --> 00:21:23,560 Speaker 4: If you want to hear what Keanu Reeves would sound 454 00:21:23,600 --> 00:21:24,960 Speaker 4: like if he was born in the South, all you 455 00:21:25,000 --> 00:21:27,480 Speaker 4: have to do is watch Devil's Advocate with him and Paccino, 456 00:21:27,880 --> 00:21:31,359 Speaker 4: one of the worst Southern accents ever put on film. 457 00:21:32,880 --> 00:21:34,720 Speaker 2: I think we have a clip of that, Buck, This 458 00:21:34,840 --> 00:21:37,280 Speaker 2: is what Keanu sounded like. Actually, it was a pretty 459 00:21:37,280 --> 00:21:39,520 Speaker 2: good movie. I thought Devil's Advocate back in the day. 460 00:21:40,000 --> 00:21:41,640 Speaker 2: I mean, there are a lot worse movies. But here's 461 00:21:41,680 --> 00:21:42,479 Speaker 2: what he sounded like. 462 00:21:42,760 --> 00:21:44,160 Speaker 6: How about Cullen, how's it going? 463 00:21:44,359 --> 00:21:45,840 Speaker 4: Have you gone? Beam? 464 00:21:46,359 --> 00:21:49,359 Speaker 3: That's a long conversation. I want to come up and 465 00:21:49,359 --> 00:21:49,720 Speaker 3: tell me. 466 00:21:51,240 --> 00:21:56,400 Speaker 5: Now, let's talk tomorrow. 467 00:21:57,240 --> 00:21:59,960 Speaker 2: All right, So there's Keanu. You can go watch Devil's Advocate. 468 00:22:00,040 --> 00:22:02,920 Speaker 2: And that was a pretty bad Southern accent. I don't 469 00:22:02,960 --> 00:22:08,080 Speaker 2: recall it. He's an attorney JJ Don in Florida. I 470 00:22:08,119 --> 00:22:10,760 Speaker 2: think he this is the worst Southern accent in a movie. 471 00:22:11,240 --> 00:22:12,320 Speaker 2: Don what you got for us? 472 00:22:12,359 --> 00:22:13,200 Speaker 4: Hey, Clay em Buck. 473 00:22:13,520 --> 00:22:16,960 Speaker 1: You want the worst Southern accent, look at Nicholas Cage 474 00:22:17,000 --> 00:22:17,680 Speaker 1: and con Air. 475 00:22:18,800 --> 00:22:22,479 Speaker 3: Nicholas Cage and con Air is a The Bunned Down. 476 00:22:23,000 --> 00:22:23,680 Speaker 3: I remember that. 477 00:22:25,080 --> 00:22:27,920 Speaker 1: It is an unbelievably awful Southern accent. 478 00:22:28,040 --> 00:22:31,159 Speaker 3: It's not an awful movie. I mean, given the premise. 479 00:22:31,760 --> 00:22:34,159 Speaker 1: I mean it's it's an absurd movie, but not an 480 00:22:34,200 --> 00:22:38,680 Speaker 1: awful movie. Right, That's yes, yes, that's what I'm saying. 481 00:22:38,680 --> 00:22:41,680 Speaker 1: Like the premise is ridiculous and it shouldn't be as good. 482 00:22:41,840 --> 00:22:46,800 Speaker 1: I mean much like honestly, the the movie about the 483 00:22:47,200 --> 00:22:51,320 Speaker 1: the Oh what's it called the Rock? The Rock from 484 00:22:51,359 --> 00:22:55,680 Speaker 1: the nineteen nineties, the Alcatraz movie with Sean Connery and 485 00:22:55,760 --> 00:22:58,800 Speaker 1: Nicholas Cage is actually a really fun movie. 486 00:22:58,960 --> 00:23:00,920 Speaker 3: It's patently absurd. 487 00:23:00,640 --> 00:23:03,439 Speaker 1: In many differences talked a bottom yes for possibly, but 488 00:23:03,920 --> 00:23:05,080 Speaker 1: really a fun watch. 489 00:23:06,280 --> 00:23:12,080 Speaker 2: And uh and those are these let's uh, let's play this. 490 00:23:12,240 --> 00:23:14,080 Speaker 2: Maybe we can talk about this a bit tomorrow. 491 00:23:14,200 --> 00:23:15,480 Speaker 3: Buck Uh. 492 00:23:15,560 --> 00:23:18,080 Speaker 2: Karine Jean Pierre has got a book out, I guess, 493 00:23:18,080 --> 00:23:21,040 Speaker 2: and she's doing all sorts of touring. And I want 494 00:23:21,040 --> 00:23:23,480 Speaker 2: to roll over a couple of these cuts. The other 495 00:23:23,560 --> 00:23:26,320 Speaker 2: one roll it over, guys, But let's play this first 496 00:23:26,320 --> 00:23:30,040 Speaker 2: one from Karine Jean Pierre. She's asked whether she basically 497 00:23:30,040 --> 00:23:33,800 Speaker 2: bears any blame at all for Joe Biden. Listen to 498 00:23:34,080 --> 00:23:34,920 Speaker 2: her answer. 499 00:23:35,040 --> 00:23:36,400 Speaker 3: This is perfect watch Charin. 500 00:23:36,520 --> 00:23:38,320 Speaker 4: Do you have any regrets at all for anything that 501 00:23:38,359 --> 00:23:40,720 Speaker 4: you said while you were speaking on behalf of this administration? 502 00:23:41,320 --> 00:23:44,920 Speaker 3: I'm look. 503 00:23:45,480 --> 00:23:48,080 Speaker 6: Normally because you're asking for a yester or no question. 504 00:23:48,119 --> 00:23:49,960 Speaker 1: I want to put some context to it too. 505 00:23:50,200 --> 00:23:51,280 Speaker 3: I wave up every day. 506 00:23:51,640 --> 00:23:55,119 Speaker 6: I woke up every day very proud to be the 507 00:23:55,119 --> 00:23:58,160 Speaker 6: White House pre secretary. I woke up every day as 508 00:23:58,200 --> 00:24:02,800 Speaker 6: a as a black woman who is queer, who had 509 00:24:02,840 --> 00:24:05,480 Speaker 6: never no one had ever seen someone like me at 510 00:24:05,480 --> 00:24:08,160 Speaker 6: that podium, standing behind that lecture. It was an honor 511 00:24:08,160 --> 00:24:10,880 Speaker 6: and a privilege to have that job, and I did 512 00:24:10,920 --> 00:24:12,640 Speaker 6: it to the best of my abilities. 513 00:24:14,240 --> 00:24:18,320 Speaker 2: Immediately going to no, you know, we covered up, we 514 00:24:18,400 --> 00:24:20,359 Speaker 2: lied about a guy who had no business being in 515 00:24:20,359 --> 00:24:22,840 Speaker 2: the White House too. Oh well, let me talk about 516 00:24:22,880 --> 00:24:24,840 Speaker 2: the fact that I'm black and gay in case you 517 00:24:24,920 --> 00:24:27,359 Speaker 2: didn't know, rather than actually answer your question. 518 00:24:28,160 --> 00:24:28,400 Speaker 3: Yeah. 519 00:24:28,880 --> 00:24:34,360 Speaker 1: I think that her book is going over so poorly 520 00:24:34,880 --> 00:24:37,320 Speaker 1: that it actually has made one hundred and seven days 521 00:24:37,400 --> 00:24:42,320 Speaker 1: Kamala's book, which you left me behind on the battlefield 522 00:24:42,359 --> 00:24:46,359 Speaker 1: to read solo, which was way harsh. I think that 523 00:24:46,560 --> 00:24:49,680 Speaker 1: karrein Jean Pierre's book is even more negatively received by 524 00:24:49,840 --> 00:24:53,520 Speaker 1: Democrats than Kamala's book was, which tells you a lot 525 00:24:53,520 --> 00:24:56,480 Speaker 1: about the legacy of the Biden administration and why Kamala's 526 00:24:56,520 --> 00:24:58,280 Speaker 1: going to end up not running and becoming a provost 527 00:24:58,280 --> 00:24:59,399 Speaker 1: that Clay's going to owe me a stake