1 00:00:00,120 --> 00:00:01,480 Speaker 1: This is the press show. 2 00:00:01,760 --> 00:00:03,720 Speaker 2: Let's get you hotel a trip for two to see 3 00:00:03,800 --> 00:00:08,119 Speaker 2: Jennifer Lopez her brand new Las Vegas residency. Jennifer Lopez 4 00:00:08,280 --> 00:00:11,639 Speaker 2: Up All Night Live in Las Vegas March thirteenth, twenty 5 00:00:11,680 --> 00:00:13,760 Speaker 2: twenty six, at the Coliseum. 6 00:00:13,240 --> 00:00:14,320 Speaker 1: At Caesar's Palace. 7 00:00:14,520 --> 00:00:18,080 Speaker 2: Text Live to three seven three three seven right now 8 00:00:18,120 --> 00:00:21,320 Speaker 2: for a chance to win two tickets to the March thirteenth. 9 00:00:20,920 --> 00:00:23,040 Speaker 1: Show at two night hotels day March. 10 00:00:22,920 --> 00:00:25,840 Speaker 2: Twelfth through the fourteenth at the Flamingo Hotel in Casino, 11 00:00:25,920 --> 00:00:28,920 Speaker 2: Las Vegas and the Brown Trepair Fair. A confirmation text 12 00:00:28,960 --> 00:00:31,640 Speaker 2: will be sent DENNERD message and data rates may apply. 13 00:00:31,840 --> 00:00:32,800 Speaker 1: All thanks to Live Nation. 14 00:00:33,040 --> 00:00:35,360 Speaker 2: Tickets are on sale now at ticketmaster dot com for 15 00:00:35,479 --> 00:00:38,960 Speaker 2: all shows running December thirtieth through January third, and March 16 00:00:38,960 --> 00:00:41,159 Speaker 2: sixth through the twenty eighth. I gotta I need some 17 00:00:41,280 --> 00:00:43,400 Speaker 2: help from you guys. Eight five, five, five, nine, one 18 00:00:43,479 --> 00:00:45,960 Speaker 2: one oh three five. This is the only many of us. 19 00:00:45,960 --> 00:00:47,839 Speaker 2: I think it's true. This is the only job that 20 00:00:47,880 --> 00:00:52,000 Speaker 2: we've had in the last long time. I mean, this 21 00:00:52,120 --> 00:00:56,880 Speaker 2: is the only in the last long time. Yes, I 22 00:00:57,600 --> 00:01:00,400 Speaker 2: got a radio job in two thousand and three when 23 00:01:00,400 --> 00:01:02,880 Speaker 2: I graduated college. I was just a little baby, and 24 00:01:02,960 --> 00:01:05,480 Speaker 2: I knock on wood. I'm sure it's gonna end soon. 25 00:01:05,560 --> 00:01:08,120 Speaker 2: But the way thing, the way things are going, probably, 26 00:01:08,160 --> 00:01:12,800 Speaker 2: but uh right, but I have not It's shocking and 27 00:01:12,840 --> 00:01:14,240 Speaker 2: I don't want to say it out loud, but let's 28 00:01:14,240 --> 00:01:16,679 Speaker 2: just say. I've had a radio job my whole my 29 00:01:16,720 --> 00:01:19,280 Speaker 2: whole adult life, and I don't I don't know. I 30 00:01:19,280 --> 00:01:21,319 Speaker 2: don't think I would know how to interview for a job. 31 00:01:21,480 --> 00:01:23,800 Speaker 2: I really don't like today, I don't, I don't know. 32 00:01:24,560 --> 00:01:26,880 Speaker 2: And then I hear about my friends who were interviewing it, 33 00:01:26,920 --> 00:01:31,000 Speaker 2: like Meta and Amazon, and and it takes weeks to 34 00:01:31,040 --> 00:01:32,880 Speaker 2: prepare for the interview. And then I knew one girl 35 00:01:32,880 --> 00:01:35,679 Speaker 2: who interviewed at Amazon, and so she was it was 36 00:01:35,680 --> 00:01:38,600 Speaker 2: a virtual interview. She was on her computer, but behind 37 00:01:38,680 --> 00:01:41,840 Speaker 2: her computer on the wall, she had the entire wall 38 00:01:41,880 --> 00:01:45,360 Speaker 2: covered in big sheets of paper with potential answers to 39 00:01:45,480 --> 00:01:51,280 Speaker 2: interview questions and like games and like theories and stuff 40 00:01:51,320 --> 00:01:53,040 Speaker 2: that they might ask in these interviews. So this is 41 00:01:53,080 --> 00:01:56,040 Speaker 2: what I'm curious though, if you could tell me why 42 00:01:56,120 --> 00:01:59,320 Speaker 2: would I need AI? And I'm asking this sincerely because 43 00:01:59,360 --> 00:02:01,720 Speaker 2: I don't know why would I need AI for a 44 00:02:01,800 --> 00:02:03,880 Speaker 2: job interview? And how would I get away with that? 45 00:02:04,720 --> 00:02:07,520 Speaker 2: Like if I'm a lot of interviews are virtual, and 46 00:02:07,920 --> 00:02:11,639 Speaker 2: I guess people are using AI during their interview. I 47 00:02:11,639 --> 00:02:13,200 Speaker 2: don't know how you'd be able to do that, and 48 00:02:13,240 --> 00:02:15,600 Speaker 2: people wouldn't know or why you would need to do it. 49 00:02:15,639 --> 00:02:20,320 Speaker 2: But now companies are going back to in person interviews 50 00:02:21,000 --> 00:02:24,799 Speaker 2: only to protect against job candidates using artificial intelligence tools 51 00:02:24,800 --> 00:02:29,600 Speaker 2: to cheat during remote interviews. So virtual interviews, I guess 52 00:02:29,639 --> 00:02:33,640 Speaker 2: are very common at Google and Cisco and McKenzie and 53 00:02:33,720 --> 00:02:36,000 Speaker 2: all these big firms, and now they want to go 54 00:02:36,000 --> 00:02:39,720 Speaker 2: back to face to face because either people are using 55 00:02:39,760 --> 00:02:42,120 Speaker 2: AI real time during the interview to come up with 56 00:02:42,160 --> 00:02:45,120 Speaker 2: answers or solutions or something, and then I guess if 57 00:02:45,120 --> 00:02:47,520 Speaker 2: they're not doing that, then they've got someone in the 58 00:02:47,600 --> 00:02:51,519 Speaker 2: room off camera listening to the questions and then aiding 59 00:02:51,560 --> 00:02:55,640 Speaker 2: them with answers. Now, I guess some of this is 60 00:02:55,680 --> 00:02:58,919 Speaker 2: true for like engineering and programming jobs where they might 61 00:02:58,960 --> 00:03:01,160 Speaker 2: ask you to do some code stuff or whatever else. 62 00:03:01,160 --> 00:03:03,840 Speaker 2: But like I know if and that makes sense, I 63 00:03:03,840 --> 00:03:05,440 Speaker 2: guess if you say you know how to code and 64 00:03:05,480 --> 00:03:07,280 Speaker 2: you don't, and they're like, how would you do this? 65 00:03:07,440 --> 00:03:09,080 Speaker 2: And you type it in or whatever, and then it 66 00:03:09,080 --> 00:03:09,919 Speaker 2: tells you how to do it. 67 00:03:10,000 --> 00:03:14,680 Speaker 1: But I mean other than that, what am I using 68 00:03:14,680 --> 00:03:17,480 Speaker 1: AI for? Like? What what do I need? Really? 69 00:03:17,480 --> 00:03:20,240 Speaker 2: You know, I guess I'm confused, Like what is it 70 00:03:20,280 --> 00:03:22,799 Speaker 2: going to tell me? What would the question being? What 71 00:03:22,800 --> 00:03:25,239 Speaker 2: would the end? Have you guys heard about this at all? No? 72 00:03:25,360 --> 00:03:27,400 Speaker 3: But I guess I could see like sometimes like interview 73 00:03:27,520 --> 00:03:30,680 Speaker 3: questions stump you, so maybe and you never know like 74 00:03:30,720 --> 00:03:32,360 Speaker 3: what the right answer is. I feel like you always 75 00:03:32,360 --> 00:03:35,520 Speaker 3: want to make yourself out to like look better than not, 76 00:03:35,800 --> 00:03:38,440 Speaker 3: so maybe it would help you, like spin something like 77 00:03:38,480 --> 00:03:39,960 Speaker 3: what's your greatest strength or weakness? 78 00:03:40,000 --> 00:03:41,960 Speaker 2: Or you know that question that is always a trap. 79 00:03:42,840 --> 00:03:46,080 Speaker 2: I guess I can't remember an interview question. In the 80 00:03:46,080 --> 00:03:49,480 Speaker 2: one interview that I had, I don't know. It was 81 00:03:49,560 --> 00:03:53,040 Speaker 2: kind of like, hey, are you like a drug addict? 82 00:03:53,200 --> 00:03:55,080 Speaker 1: No? Okay? 83 00:03:55,120 --> 00:03:55,360 Speaker 2: Are you? 84 00:03:55,920 --> 00:03:57,520 Speaker 1: I mean like, are you a little bits? Okay? 85 00:03:58,080 --> 00:03:58,200 Speaker 2: Right? 86 00:03:58,280 --> 00:03:58,720 Speaker 1: Well yeah? 87 00:03:58,720 --> 00:03:58,960 Speaker 4: Are you? 88 00:03:59,280 --> 00:04:01,520 Speaker 2: Are you like radio interview? Are you a little off? 89 00:04:01,760 --> 00:04:02,920 Speaker 2: Like are you a little messed up? 90 00:04:03,000 --> 00:04:05,560 Speaker 1: Yeah? But will you show up on time most of 91 00:04:05,600 --> 00:04:06,280 Speaker 1: the time? Yeah? 92 00:04:06,440 --> 00:04:08,600 Speaker 2: Okay, all right, okay, well then come on in you 93 00:04:08,840 --> 00:04:11,600 Speaker 2: got the job? Or in the case of Kalin's interview, 94 00:04:12,720 --> 00:04:14,760 Speaker 2: it was at a. It was at a bar called Dublin's, 95 00:04:15,000 --> 00:04:19,360 Speaker 2: and and well, I don't I remember the interview. I 96 00:04:19,360 --> 00:04:21,880 Speaker 2: don't remember what I asked you or what was discussed, 97 00:04:21,880 --> 00:04:26,080 Speaker 2: because because I was already well well on my way 98 00:04:26,920 --> 00:04:29,040 Speaker 2: before we met up. And all I know is I 99 00:04:29,080 --> 00:04:31,960 Speaker 2: walked away thinking that's the one, that's the one, and 100 00:04:32,360 --> 00:04:33,000 Speaker 2: you got hired. 101 00:04:33,240 --> 00:04:34,720 Speaker 1: Oh well, thanks for thinking that's one. 102 00:04:34,800 --> 00:04:37,640 Speaker 4: Jason was also there too, But remember one of the 103 00:04:37,680 --> 00:04:41,200 Speaker 4: suits also asked me to rank my top five sandwiches 104 00:04:41,240 --> 00:04:44,240 Speaker 4: from non chain restaurants and told me there was a 105 00:04:44,279 --> 00:04:47,520 Speaker 4: wrong answer, which I later found out was a turkey sandwich. 106 00:04:47,600 --> 00:04:50,159 Speaker 4: But that threw me for a loop, and like he 107 00:04:50,320 --> 00:04:54,159 Speaker 4: was dead serious, and I think I passed. 108 00:04:54,360 --> 00:04:56,560 Speaker 1: But what was your answer? What did you say? Oh 109 00:04:56,600 --> 00:04:57,120 Speaker 1: my gosh. 110 00:04:57,160 --> 00:04:59,040 Speaker 4: At the time, I think I said, well, these are 111 00:04:59,040 --> 00:05:02,279 Speaker 4: local spots, think I said, JP Grazianos. 112 00:05:03,320 --> 00:05:05,719 Speaker 1: I'm trying to remember which other are you ever in Chicago? 113 00:05:05,720 --> 00:05:06,400 Speaker 1: You got to go to JP? 114 00:05:06,680 --> 00:05:09,240 Speaker 4: Yeah, I mean there are super local. But like I 115 00:05:09,960 --> 00:05:12,600 Speaker 4: think I passed. I never named a turkey sandwich, thank goodness. 116 00:05:12,640 --> 00:05:14,920 Speaker 4: But but I like a turkey sandwich. 117 00:05:15,080 --> 00:05:17,480 Speaker 1: So, like Jimmy John's, was the wrong answer. I think 118 00:05:17,760 --> 00:05:19,680 Speaker 1: I think so yes, it was. It was supposed to 119 00:05:19,720 --> 00:05:20,320 Speaker 1: be non chain. 120 00:05:22,000 --> 00:05:24,000 Speaker 4: Yeah, but like that really scared me because I was like, 121 00:05:24,120 --> 00:05:25,960 Speaker 4: I prepared for everything, and like you're looking at me 122 00:05:26,000 --> 00:05:26,760 Speaker 4: like this is really. 123 00:05:26,600 --> 00:05:28,960 Speaker 2: Serious to you. I wonder what a I would have 124 00:05:29,000 --> 00:05:32,880 Speaker 2: told you to say, But I don't know. I guess, 125 00:05:33,200 --> 00:05:35,240 Speaker 2: but how would you be able and maybe you just 126 00:05:35,320 --> 00:05:37,560 Speaker 2: really sly, but how would you be able to type 127 00:05:38,680 --> 00:05:41,279 Speaker 2: real time what the person had just asked you and 128 00:05:41,320 --> 00:05:43,600 Speaker 2: then get the answer and then read the answer and 129 00:05:43,600 --> 00:05:45,120 Speaker 2: nobody would know that you did that? Right? 130 00:05:45,520 --> 00:05:47,560 Speaker 1: Yeah, the timing would be off. I feel like it 131 00:05:47,839 --> 00:05:48,719 Speaker 1: a slight delay. 132 00:05:48,760 --> 00:05:50,720 Speaker 3: I prefhere you look at you like you're looking off 133 00:05:50,720 --> 00:05:51,799 Speaker 3: to the side. 134 00:05:52,360 --> 00:05:54,280 Speaker 4: I just freeze, like, oh sorry, I can. 135 00:05:55,720 --> 00:05:56,080 Speaker 1: All right. 136 00:05:58,640 --> 00:06:01,320 Speaker 2: And then you know Paulina's interview, very famous story. She 137 00:06:01,360 --> 00:06:02,839 Speaker 2: came in with a whole notebook full of all the 138 00:06:02,839 --> 00:06:04,480 Speaker 2: things that were wrong with the show, So a I 139 00:06:04,520 --> 00:06:08,680 Speaker 2: couldn't have helped you there. Well, you know what if 140 00:06:08,680 --> 00:06:10,560 Speaker 2: I was to do it all over again today, I 141 00:06:10,640 --> 00:06:13,320 Speaker 2: guarantee you chat would give me some lit ideas. 142 00:06:14,640 --> 00:06:15,000 Speaker 1: That's true. 143 00:06:15,000 --> 00:06:17,800 Speaker 2: I guess you could prepare for the interview using using AI, 144 00:06:17,920 --> 00:06:19,479 Speaker 2: But I don't know. This is crazy to me, I guess, 145 00:06:19,520 --> 00:06:22,920 Speaker 2: I don't. I don't understand fully how you would be 146 00:06:22,960 --> 00:06:24,320 Speaker 2: able to do that and get away with it and 147 00:06:24,320 --> 00:06:24,920 Speaker 2: not get caught. 148 00:06:25,040 --> 00:06:25,840 Speaker 1: And I don't know. 149 00:06:26,240 --> 00:06:29,159 Speaker 2: Maybe maybe if you're slick enough to get through the 150 00:06:29,200 --> 00:06:31,640 Speaker 2: interview and get the job, and you had to use 151 00:06:31,720 --> 00:06:34,680 Speaker 2: chat ept to do it, maybe you should get hired, 152 00:06:35,320 --> 00:06:38,800 Speaker 2: because I don't know, maybe if you're that slick, I 153 00:06:38,800 --> 00:06:41,880 Speaker 2: don't know. I mean, what's more important whether I can 154 00:06:41,960 --> 00:06:45,279 Speaker 2: do it effectively or whether I really know how to 155 00:06:45,320 --> 00:06:47,039 Speaker 2: do it. It's two different things, like maybe I don't 156 00:06:47,040 --> 00:06:48,720 Speaker 2: know how to do it, but I taught myself how 157 00:06:48,720 --> 00:06:49,600 Speaker 2: to do it using AI. 158 00:06:49,839 --> 00:06:55,279 Speaker 1: I don't Maybe people just right right exactly