1 00:00:00,280 --> 00:00:03,640 Speaker 1: Dan Mitchins and US Correspondence with US. Hello Dan, Hi, 2 00:00:03,720 --> 00:00:06,440 Speaker 1: Heather Dan. So in New York City's using drones? Is 3 00:00:06,440 --> 00:00:07,480 Speaker 1: it to try and crime fight? 4 00:00:08,360 --> 00:00:10,119 Speaker 2: Yeah, you know, I was a little skeptical when I 5 00:00:10,119 --> 00:00:12,479 Speaker 2: first started hearing about this. These are going to be 6 00:00:13,119 --> 00:00:17,560 Speaker 2: deployed remotely, and they'll fly to the exact long, longitude 7 00:00:17,600 --> 00:00:20,239 Speaker 2: and latitude of these emergencies right here. And this is 8 00:00:20,280 --> 00:00:22,760 Speaker 2: a program that's kind of trying to get the drones 9 00:00:22,800 --> 00:00:25,640 Speaker 2: to the scene before the officers can get there. And 10 00:00:26,120 --> 00:00:28,880 Speaker 2: once they arrive there, they're going to have a location 11 00:00:28,960 --> 00:00:30,920 Speaker 2: taken into account. They'll be able to see what's going on. 12 00:00:30,960 --> 00:00:33,440 Speaker 2: They've got cameras and night vision technology and stuff like that. 13 00:00:33,520 --> 00:00:35,120 Speaker 2: I think what they're trying to do is really stop 14 00:00:35,159 --> 00:00:38,080 Speaker 2: a lot of the wild goose chases that police are 15 00:00:38,080 --> 00:00:39,960 Speaker 2: often sent on, you know, reports of shots fire that 16 00:00:40,040 --> 00:00:42,599 Speaker 2: aren't or a robbery that wasn't, or calls people make 17 00:00:42,680 --> 00:00:44,760 Speaker 2: just to annoy the police and tie up their resources, 18 00:00:44,800 --> 00:00:48,159 Speaker 2: so that means other crimes are are sometimes pushed back. 19 00:00:48,200 --> 00:00:50,239 Speaker 2: So I think maybe this is actually a good use 20 00:00:50,280 --> 00:00:52,479 Speaker 2: of money and resources and could be rolled out in 21 00:00:52,520 --> 00:00:54,000 Speaker 2: other cities if you're proved successful. 22 00:00:54,160 --> 00:00:56,040 Speaker 1: Yeah, but I mean, the thing is a lot of 23 00:00:56,080 --> 00:00:57,640 Speaker 1: people will start to you know, people are a little 24 00:00:57,640 --> 00:01:00,520 Speaker 1: suspicious at the moment, right and they funny ideas and stuff, 25 00:01:00,520 --> 00:01:02,000 Speaker 1: and I wonder if people are going to think that 26 00:01:02,040 --> 00:01:03,200 Speaker 1: this is actually surveillance. 27 00:01:04,120 --> 00:01:06,760 Speaker 2: That's that was my other thought too, that if this 28 00:01:06,840 --> 00:01:08,600 Speaker 2: gets a pushback at all, it's going to be from 29 00:01:08,640 --> 00:01:11,399 Speaker 2: people that are saying, well, these drones are spying on people, 30 00:01:11,560 --> 00:01:13,680 Speaker 2: or they're out in public right now and I haven't 31 00:01:13,680 --> 00:01:15,679 Speaker 2: given them permission for my usage. It's the same way 32 00:01:15,680 --> 00:01:17,840 Speaker 2: when you see Google go around and you know, take 33 00:01:17,880 --> 00:01:20,280 Speaker 2: shots of neighborhoods, they often blow out you know, license 34 00:01:20,319 --> 00:01:22,720 Speaker 2: plates and people's faces and addresses and stuff like that, 35 00:01:22,760 --> 00:01:24,640 Speaker 2: which at this point these drones aren't going to be 36 00:01:24,680 --> 00:01:25,080 Speaker 2: able to do. 37 00:01:26,040 --> 00:01:28,520 Speaker 1: Yeah, I suppose that's a fair point. Now, Elon Musk 38 00:01:28,560 --> 00:01:30,680 Speaker 1: and Donald Trump, I'm surprised that they don't sick of 39 00:01:30,720 --> 00:01:31,560 Speaker 1: each other by now. 40 00:01:33,560 --> 00:01:37,480 Speaker 2: You know, your your producer, Laura, she called this a bromance, 41 00:01:37,520 --> 00:01:39,280 Speaker 2: and I said, that's exactly I think what it is 42 00:01:39,440 --> 00:01:42,679 Speaker 2: right now. I mean, he Trump was attending the space 43 00:01:42,760 --> 00:01:46,559 Speaker 2: launch in Texas with with Elon Musk just a short 44 00:01:46,600 --> 00:01:49,440 Speaker 2: time ago, and of course, you know Musk has been 45 00:01:49,480 --> 00:01:52,720 Speaker 2: tapped ahead, you know that the KIA to oversee the 46 00:01:53,280 --> 00:01:56,120 Speaker 2: Yes doge to improve the government efficiency here. And I'll 47 00:01:56,120 --> 00:01:57,920 Speaker 2: tell you howther In the last couple of weeks since 48 00:01:57,920 --> 00:02:01,160 Speaker 2: the election, I mean, these guys have been pretty much inseparable, 49 00:02:01,600 --> 00:02:04,240 Speaker 2: and he's Musk is hopped on the phone with at 50 00:02:04,320 --> 00:02:06,160 Speaker 2: least a couple of foreign leaders, and he's been tapped 51 00:02:06,160 --> 00:02:08,520 Speaker 2: in lead this efficiency commission, and he's offered advice to 52 00:02:08,520 --> 00:02:11,200 Speaker 2: Trump's transition team and you know, hunker down at the 53 00:02:11,200 --> 00:02:14,720 Speaker 2: President of Lex place in Florida. And my question is 54 00:02:14,720 --> 00:02:16,600 Speaker 2: is this going to last? Or are these two of 55 00:02:16,639 --> 00:02:19,839 Speaker 2: the world's biggest personalities and egos. Yeah, and they're gonna 56 00:02:19,840 --> 00:02:21,320 Speaker 2: say after a while, it's going to be ah. 57 00:02:21,840 --> 00:02:25,280 Speaker 1: So, I was listening to Anthony Scaramucci's podcast, which is 58 00:02:25,320 --> 00:02:29,720 Speaker 1: actually surprisingly brilliant, I have to be honest, and he 59 00:02:29,760 --> 00:02:32,119 Speaker 1: made the point that when he first was taken into 60 00:02:32,160 --> 00:02:34,600 Speaker 1: the White House to work for Trump, he was warned 61 00:02:34,600 --> 00:02:36,680 Speaker 1: by I think it was by Callianne Conway or somebody 62 00:02:36,760 --> 00:02:39,480 Speaker 1: like that, and she said, be careful. You will be 63 00:02:39,520 --> 00:02:41,919 Speaker 1: the teacher's pet for about two weeks, and then after 64 00:02:41,960 --> 00:02:43,440 Speaker 1: that he's going to be sick of you, and he's 65 00:02:43,480 --> 00:02:45,200 Speaker 1: going to get rid of you. And this this is 66 00:02:45,240 --> 00:02:47,920 Speaker 1: the risk that Elon Musk runs, right, that he gets 67 00:02:47,960 --> 00:02:50,440 Speaker 1: way too much Trump Trump time, and Trump Trump just 68 00:02:50,440 --> 00:02:52,239 Speaker 1: gets bored of him and then there's some sort of 69 00:02:52,280 --> 00:02:53,000 Speaker 1: an explosion. 70 00:02:53,880 --> 00:02:55,360 Speaker 2: I think you're right, you know, I mean, I mean 71 00:02:55,400 --> 00:02:57,640 Speaker 2: it's a boost to both her egos, and I mean 72 00:02:57,680 --> 00:03:00,000 Speaker 2: Trump's got a guy next to him that's got up. 73 00:03:00,080 --> 00:03:01,840 Speaker 2: You know, he's like a money printing press with a 74 00:03:01,880 --> 00:03:05,240 Speaker 2: lot of resources from satellite to cars to social media. 75 00:03:05,280 --> 00:03:07,000 Speaker 2: But I think you're right. I think in six months 76 00:03:07,000 --> 00:03:09,080 Speaker 2: from now, we're going to say, hey, whatever happened to 77 00:03:09,080 --> 00:03:12,040 Speaker 2: that bromance, and he's going to be on to somebody else. Honestly, 78 00:03:12,160 --> 00:03:13,000 Speaker 2: I think that's why. 79 00:03:13,360 --> 00:03:16,000 Speaker 1: Yeah, and then Elon Musk will be hosting podcasts about 80 00:03:16,000 --> 00:03:19,359 Speaker 1: how much he also hates Donald Trump. Listen. Why is 81 00:03:19,400 --> 00:03:21,560 Speaker 1: it that so many adults young adults are still living 82 00:03:21,560 --> 00:03:22,440 Speaker 1: with their parents. 83 00:03:22,840 --> 00:03:26,480 Speaker 2: It's because the cost of housing. I mean, pre pandemic, 84 00:03:26,520 --> 00:03:28,280 Speaker 2: I mean most of the eighteen to thirty four year 85 00:03:28,280 --> 00:03:30,880 Speaker 2: olds were living with their moms and dads. There were 86 00:03:30,919 --> 00:03:34,360 Speaker 2: a number of them. It pushed upwards after the pandemic. 87 00:03:34,400 --> 00:03:35,880 Speaker 2: And I know it's not cheap. In fact, I was 88 00:03:35,920 --> 00:03:38,120 Speaker 2: doing some digging around. You're part of the world and 89 00:03:38,240 --> 00:03:41,560 Speaker 2: Auckland right now. A median home price can be, depending 90 00:03:41,560 --> 00:03:43,400 Speaker 2: on where you live, anywhere from about nine hundred and 91 00:03:43,440 --> 00:03:46,280 Speaker 2: seventy thousand, they're saying to a million dollars. And if 92 00:03:46,320 --> 00:03:47,920 Speaker 2: you look at a city, say like where I grew 93 00:03:48,000 --> 00:03:50,560 Speaker 2: up in San Diego in California, less than a third 94 00:03:50,600 --> 00:03:52,360 Speaker 2: of people there can afford to buy it. The medium 95 00:03:52,400 --> 00:03:56,000 Speaker 2: price is about one point two million dollars. And and 96 00:03:56,040 --> 00:03:57,760 Speaker 2: this is what blew my mind. I mean I had 97 00:03:57,760 --> 00:04:00,000 Speaker 2: to check a couple of people I know that are 98 00:04:00,000 --> 00:04:02,360 Speaker 2: in the real estate business. The median age for a 99 00:04:02,440 --> 00:04:04,880 Speaker 2: person to buy a home in a city like San 100 00:04:04,880 --> 00:04:07,720 Speaker 2: Diego fifty four years old. I mean, think about that, 101 00:04:07,800 --> 00:04:10,600 Speaker 2: fifty four. That's when you're thinking about retiring in me. 102 00:04:10,720 --> 00:04:13,040 Speaker 1: Hey, you want your movie it's paid off by fifty 103 00:04:13,080 --> 00:04:13,800 Speaker 1: four if you can. 104 00:04:14,520 --> 00:04:16,560 Speaker 2: Yeah, you'd like that, not you know, not getting into 105 00:04:16,560 --> 00:04:18,360 Speaker 2: something that you're going to pay off over another twenty 106 00:04:18,400 --> 00:04:20,599 Speaker 2: five or thirty years and have to worry about taxes 107 00:04:20,600 --> 00:04:22,480 Speaker 2: and stuff. So, I mean, this is why we're seeing 108 00:04:22,480 --> 00:04:25,280 Speaker 2: people all around the world now staying with mom and dad. Yeah. 109 00:04:25,400 --> 00:04:25,920 Speaker 2: Good luck. 110 00:04:26,120 --> 00:04:29,200 Speaker 1: Yeah, Dan, thanks very much, appreciate good luck and get out, Dan, 111 00:04:29,240 --> 00:04:31,160 Speaker 1: thank you very much, appreciate it. Dan Mitchens and now 112 00:04:31,240 --> 00:04:35,200 Speaker 1: US correspondent. For more from Hither Duplessye Allen Drive, listen 113 00:04:35,279 --> 00:04:38,320 Speaker 1: live to news Talks it'd be from four pm weekdays, 114 00:04:38,400 --> 00:04:40,600 Speaker 1: or follow the podcast on iHeartRadio