1 00:00:00,240 --> 00:00:03,160 Speaker 1: This is the Fitting and Whip with Kate Richie podcast. 2 00:00:03,640 --> 00:00:07,400 Speaker 1: If you heard of the AI death clock, I don't 3 00:00:07,440 --> 00:00:09,559 Speaker 1: know if I would do this. It's an AI powered 4 00:00:09,600 --> 00:00:12,640 Speaker 1: death clock that promises to predict the exact day you 5 00:00:12,720 --> 00:00:15,760 Speaker 1: will die, right down to the second. 6 00:00:16,200 --> 00:00:18,560 Speaker 2: Well, I mean, what information do you have to put 7 00:00:18,560 --> 00:00:20,600 Speaker 2: in really good for to determine that. 8 00:00:20,680 --> 00:00:23,040 Speaker 1: You need to put in your blood sugar levels, your cholesterol, 9 00:00:23,400 --> 00:00:27,159 Speaker 1: they're all health markers. Workout schedule your water intake, your 10 00:00:27,200 --> 00:00:31,480 Speaker 1: mental health. The current study of your romantic and platonic relationships. 11 00:00:32,200 --> 00:00:37,080 Speaker 1: There was twelve hundred international life expectancy studies done and 12 00:00:37,159 --> 00:00:40,560 Speaker 1: fifty three million participants and that's how they've put together 13 00:00:40,600 --> 00:00:43,720 Speaker 1: this app. This guy said he was quite happy with 14 00:00:43,760 --> 00:00:45,479 Speaker 1: the result. Told him he was going to live to 15 00:00:45,560 --> 00:00:47,960 Speaker 1: he was one hundred and one. Yeah, he does one 16 00:00:48,040 --> 00:00:51,800 Speaker 1: hundred and fifty minutes of cardio every week, three yoga classes. 17 00:00:52,280 --> 00:00:54,560 Speaker 1: But they then told him he should be lifting more weights. 18 00:00:55,600 --> 00:00:57,840 Speaker 1: He could live longer by another three years if he 19 00:00:57,960 --> 00:00:58,680 Speaker 1: lifted weights. 20 00:00:59,480 --> 00:01:03,320 Speaker 2: You can't predict that truck that's coming around the corner though, Okay. 21 00:01:02,920 --> 00:01:06,520 Speaker 1: Wow, that's a little bit, you know, trying to dart 22 00:01:06,520 --> 00:01:08,440 Speaker 1: across the road. There and all of a sudden there's 23 00:01:08,440 --> 00:01:10,520 Speaker 1: a semi well, it's. 24 00:01:10,280 --> 00:01:14,440 Speaker 2: Like you know, AI, I mean, I understand you put 25 00:01:14,440 --> 00:01:16,720 Speaker 2: in all the information and it gives you an answer back, 26 00:01:16,760 --> 00:01:20,320 Speaker 2: but it can't predict that, mate, unless you say I 27 00:01:20,319 --> 00:01:24,280 Speaker 2: don't like trucks coming around corners and they go you 28 00:01:24,319 --> 00:01:24,800 Speaker 2: can get hit. 29 00:01:26,360 --> 00:01:28,520 Speaker 1: Let me put that into the system and we'll register 30 00:01:28,600 --> 00:01:31,720 Speaker 1: the fact that you can stay away from trucks. Would 31 00:01:31,760 --> 00:01:34,000 Speaker 1: you know if you could know, Ryan James. 32 00:01:35,080 --> 00:01:38,600 Speaker 2: This is a really great question, and so the debate 33 00:01:38,600 --> 00:01:43,200 Speaker 2: as well with Chris Hemsworth's documentary and when you can 34 00:01:43,240 --> 00:01:45,440 Speaker 2: find out. I think he found out that he's got 35 00:01:45,440 --> 00:01:48,640 Speaker 2: a high higher chance of getting outzeimers when he's a 36 00:01:48,680 --> 00:01:52,200 Speaker 2: little bit older. Keep your snoozeres, that's your nerve one coming. 37 00:01:53,000 --> 00:01:55,920 Speaker 2: But yeah, I don't know if I want to don't 38 00:01:55,920 --> 00:01:56,360 Speaker 2: want to know. 39 00:01:57,040 --> 00:01:58,440 Speaker 1: I don't want to know because I don't want to 40 00:01:58,520 --> 00:02:00,360 Speaker 1: change the way I live my life. And that's a 41 00:02:00,400 --> 00:02:02,559 Speaker 1: little bit like the genome mapping that they talk about 42 00:02:02,560 --> 00:02:05,040 Speaker 1: that kids can access these days, and it kind of 43 00:02:05,040 --> 00:02:10,800 Speaker 1: builds in the genetic traces in your family. So if 44 00:02:10,800 --> 00:02:13,320 Speaker 1: there's hard condition, you just wouldn't want to grow up 45 00:02:13,360 --> 00:02:15,160 Speaker 1: any differently. Than you do. If you knew you we 46 00:02:15,600 --> 00:02:17,359 Speaker 1: had an issue. Can we get only to come into 47 00:02:17,400 --> 00:02:19,720 Speaker 1: the studio because only got on the death clock last night. 48 00:02:20,160 --> 00:02:22,640 Speaker 1: Unfortunately he hasn't got long. He's got about an hour. 49 00:02:22,760 --> 00:02:26,239 Speaker 2: I think, Well, is that a nightclub, the death knock. 50 00:02:26,120 --> 00:02:29,120 Speaker 1: Or the death clock? No, this is the AI app ollie. 51 00:02:29,560 --> 00:02:32,919 Speaker 1: So you had to fill in all the information in cholesterol, everything, 52 00:02:33,080 --> 00:02:34,600 Speaker 1: workout schedule. 53 00:02:34,320 --> 00:02:37,080 Speaker 2: How many times I eat vegetables so I have a week? 54 00:02:37,720 --> 00:02:42,240 Speaker 2: How many kids married, divorced? How many kids do you 55 00:02:42,320 --> 00:02:43,639 Speaker 2: know about? 56 00:02:43,720 --> 00:02:43,960 Speaker 1: Zero? 57 00:02:44,480 --> 00:02:45,919 Speaker 2: Okay, what I put down? 58 00:02:46,120 --> 00:02:48,160 Speaker 1: What do you think? I mean? What did it come 59 00:02:48,240 --> 00:02:48,480 Speaker 1: up with? 60 00:02:48,760 --> 00:02:51,760 Speaker 2: Ins said, I'm going to die and put this in 61 00:02:51,800 --> 00:02:56,200 Speaker 2: your diaries. Guys, Tuesday March sixteenth, twenty and seventy seven, 62 00:02:56,919 --> 00:02:57,960 Speaker 2: age seventy. 63 00:02:57,600 --> 00:03:01,520 Speaker 1: Five, cooked at seventy five on there, that's old. 64 00:03:01,520 --> 00:03:02,720 Speaker 2: But then everyone saying it's quite young. 65 00:03:02,800 --> 00:03:03,720 Speaker 1: But you've been robbed. 66 00:03:04,120 --> 00:03:09,200 Speaker 2: That's that's that's really young, mate, And you're a fit Guylie. 67 00:03:09,240 --> 00:03:11,880 Speaker 2: You've got so much ahead of you. That's really sad. 68 00:03:12,000 --> 00:03:14,079 Speaker 2: I'm going to start preparing for that now. It gives 69 00:03:14,080 --> 00:03:16,240 Speaker 2: you the three most likely ways you're going to die 70 00:03:16,280 --> 00:03:20,280 Speaker 2: as well. So mine were cancer, sleep related condition. 71 00:03:20,000 --> 00:03:21,680 Speaker 1: And too much dancing at nightclubs. 72 00:03:21,800 --> 00:03:22,880 Speaker 2: Cardiovasculators. 73 00:03:23,520 --> 00:03:28,520 Speaker 1: That's what it would be, shop dancers. 74 00:03:28,760 --> 00:03:32,200 Speaker 2: Can we speak at your funeral? Well, you guys be there? 75 00:03:32,240 --> 00:03:34,400 Speaker 1: Yeah, I think we'll be there because you're going early. 76 00:03:34,440 --> 00:03:36,800 Speaker 1: I'm doing one hundred for sure. I'm going to take 77 00:03:36,840 --> 00:03:39,320 Speaker 1: over a ton without a doubt. Maybe a hologram or 78 00:03:39,440 --> 00:03:43,160 Speaker 1: AI think, oh you were me either. Okay, we're going 79 00:03:43,160 --> 00:03:45,920 Speaker 1: to get onto Olli the hologram Coming to a funeral, 80 00:03:46,280 --> 00:03:48,880 Speaker 1: Coming to a funeral near you. It's Whippa with Kate 81 00:03:49,000 --> 00:03:52,119 Speaker 1: Ritchie is a Nova podcast walk great shows like this. 82 00:03:52,440 --> 00:03:55,560 Speaker 1: Download the Nova player, find the app store or Google 83 00:03:55,600 --> 00:03:55,920 Speaker 1: Playing