1 00:00:00,160 --> 00:00:03,960 Speaker 1: Kadi at the disco. All right, sinins not tragedies. Why 2 00:00:03,960 --> 00:00:06,040 Speaker 1: don't two point seven Because, by the way, just reading 3 00:00:06,080 --> 00:00:08,920 Speaker 1: the nicest beaches in LA to check out this summer. 4 00:00:09,720 --> 00:00:14,720 Speaker 1: Zuma Beach County Park, Malibu Lagoon State Beach, where Dondo Beach, 5 00:00:14,760 --> 00:00:17,000 Speaker 1: and El Matador State Beach. Those are the top four 6 00:00:18,320 --> 00:00:24,000 Speaker 1: to stay cool. But Privy pack Ryan's roses. Now they 7 00:00:24,040 --> 00:00:26,119 Speaker 1: moved out of the neighborhood and then they get in 8 00:00:26,160 --> 00:00:28,319 Speaker 1: this new house and she sees the old neighbor coming 9 00:00:28,320 --> 00:00:32,400 Speaker 1: out of the new house and cannot believe it. It's bad, bad, bad. 10 00:00:32,880 --> 00:00:34,240 Speaker 2: That's a weird situation. 11 00:00:35,080 --> 00:00:37,960 Speaker 1: Taylor Swift tickets for you to win eight forty this morning, 12 00:00:38,280 --> 00:00:42,239 Speaker 1: So FI shows come in Taylor Tickets eight forty all right, 13 00:00:42,240 --> 00:00:43,600 Speaker 1: Sisaney tell us about this new app. 14 00:00:44,280 --> 00:00:46,080 Speaker 2: So there's a few of them actually, and you know, 15 00:00:46,240 --> 00:00:48,120 Speaker 2: last I feel like a few days ago we were 16 00:00:48,120 --> 00:00:51,239 Speaker 2: talking about augmented reality menus, and it's kind of like 17 00:00:51,240 --> 00:00:55,400 Speaker 2: in the same family of that. This is more like 18 00:00:55,480 --> 00:00:59,280 Speaker 2: counting your calories per meal. And there's an app called 19 00:00:59,360 --> 00:01:03,320 Speaker 2: Calorie or Snap Calorie, and both of them kind of 20 00:01:03,320 --> 00:01:06,399 Speaker 2: do the same thing. So essentially it's all done with 21 00:01:06,520 --> 00:01:09,479 Speaker 2: AI and you would take a picture of your food 22 00:01:09,600 --> 00:01:12,399 Speaker 2: or your plate with your phone and then it would 23 00:01:12,440 --> 00:01:16,320 Speaker 2: break down what is in it, based on protein, based 24 00:01:16,319 --> 00:01:21,520 Speaker 2: on calories, based on fat, everything, it would break down carbs, 25 00:01:21,760 --> 00:01:26,160 Speaker 2: all of that within that picture. Now, some would argue 26 00:01:26,160 --> 00:01:28,720 Speaker 2: that it's not one hundred percent accurate. 27 00:01:28,480 --> 00:01:31,560 Speaker 1: But close, but close close is fine for me. 28 00:01:32,120 --> 00:01:35,200 Speaker 2: So would you like this, like is this something that 29 00:01:35,200 --> 00:01:37,680 Speaker 2: would intrigue you? Or do does this become a slippery 30 00:01:37,720 --> 00:01:41,240 Speaker 2: slope of obsession like every meal? And are you going 31 00:01:41,319 --> 00:01:43,640 Speaker 2: to be start? And I feel like someone like Tanya 32 00:01:43,760 --> 00:01:46,880 Speaker 2: might be snapping her pictures on every single thing. 33 00:01:46,800 --> 00:01:50,560 Speaker 3: That I wouldn't even open that Pandora's box for myself 34 00:01:50,680 --> 00:01:52,440 Speaker 3: because I would I'd become obsessed with it. 35 00:01:52,840 --> 00:01:55,040 Speaker 1: Well what's wrong with that? Why not mean then you 36 00:01:55,080 --> 00:01:56,160 Speaker 1: know what you're putting into your body? 37 00:01:56,160 --> 00:01:58,520 Speaker 3: Because I already know, Like I know when I'm eating 38 00:01:58,560 --> 00:02:00,440 Speaker 3: something if it's going to fuel me or if it's 39 00:02:00,440 --> 00:02:02,440 Speaker 3: gonna like pooh poom me see. 40 00:02:02,480 --> 00:02:04,200 Speaker 1: I think I would want to know because I think 41 00:02:04,200 --> 00:02:06,360 Speaker 1: there are some things I think like my nuts, right, 42 00:02:06,560 --> 00:02:10,040 Speaker 1: Like I cannot get enough of my toasted nuts, and 43 00:02:10,120 --> 00:02:11,920 Speaker 1: I eat a lot of them. Sometimes I'm really hungry 44 00:02:11,960 --> 00:02:13,400 Speaker 1: I'll eat handfuls of them, and I think that's a 45 00:02:13,440 --> 00:02:16,280 Speaker 1: lot of calories in fat. Sure it's all good, but 46 00:02:16,480 --> 00:02:19,400 Speaker 1: not in excess. And I think I eat too many nuts. 47 00:02:19,440 --> 00:02:21,440 Speaker 1: And I think this app would say, dude, you're way, 48 00:02:21,560 --> 00:02:22,640 Speaker 1: You're overnutting yourself. 49 00:02:22,919 --> 00:02:25,600 Speaker 2: Oh that's interesting, Like when you eat your nuts, do 50 00:02:25,639 --> 00:02:28,360 Speaker 2: you put him in a bowl or do you just 51 00:02:28,480 --> 00:02:28,840 Speaker 2: eat him? 52 00:02:29,080 --> 00:02:31,160 Speaker 3: We've seen him eat his nuts. They're just he's just 53 00:02:31,240 --> 00:02:32,240 Speaker 3: going in the container. 54 00:02:32,320 --> 00:02:34,240 Speaker 1: Yeah, so I go in the container. Sometimes I put 55 00:02:34,280 --> 00:02:35,840 Speaker 1: him in a bowl to you know what I do. 56 00:02:35,880 --> 00:02:37,760 Speaker 1: Sometimes at night, I will go into the kitchen, I 57 00:02:37,760 --> 00:02:39,640 Speaker 1: will open the cup. I will put him in a 58 00:02:39,680 --> 00:02:41,600 Speaker 1: cup like a coffee cup. I will go into the 59 00:02:41,639 --> 00:02:45,000 Speaker 1: TV room. I will start streaming something. I will finish, 60 00:02:45,120 --> 00:02:46,959 Speaker 1: I will pause it. I will walk back to the 61 00:02:47,040 --> 00:02:50,200 Speaker 1: kitchen and refill the coffee cup of nuts. Why is 62 00:02:50,240 --> 00:02:53,320 Speaker 1: a coffee cup? Because I'm trying to measure the portion, right, 63 00:02:53,360 --> 00:02:55,079 Speaker 1: I want to put him in a bowl. So a 64 00:02:55,120 --> 00:02:57,640 Speaker 1: coffee cups like small in circumference, so you don't get 65 00:02:57,639 --> 00:02:59,079 Speaker 1: too many nuts. But I go back for like three 66 00:02:59,160 --> 00:03:00,839 Speaker 1: rounds of nuts. It's in a coffee cup. 67 00:03:01,120 --> 00:03:03,600 Speaker 2: So funny, Michael will eat bowls of cereal, but not 68 00:03:03,639 --> 00:03:05,280 Speaker 2: in a bowl. He'll eat them in a cup. 69 00:03:05,080 --> 00:03:07,520 Speaker 1: Too, right, because we're trying to But then I'll go 70 00:03:07,560 --> 00:03:10,040 Speaker 1: back and get more. Yeah, probably they're trying to limit 71 00:03:10,040 --> 00:03:12,200 Speaker 1: the intake. See, that's the other thing. Portion sides. Like, 72 00:03:12,280 --> 00:03:14,000 Speaker 1: I also would like to take a picture of the 73 00:03:14,000 --> 00:03:17,200 Speaker 1: plate because maybe it's healthy, but I'm meaning too much 74 00:03:17,280 --> 00:03:20,200 Speaker 1: of something. And sauces. Do they know about sauces? That's 75 00:03:20,240 --> 00:03:23,040 Speaker 1: the other thing. The app can tell me about sauces too. 76 00:03:23,240 --> 00:03:25,160 Speaker 2: That would be crazy. Well, it's all done with AI. 77 00:03:25,320 --> 00:03:27,480 Speaker 2: So I'm like, I think that the technology on this 78 00:03:27,600 --> 00:03:29,040 Speaker 2: is just going to get better and better and better. 79 00:03:29,120 --> 00:03:32,360 Speaker 2: So I download the apps. I have not actually used 80 00:03:32,360 --> 00:03:34,760 Speaker 2: them yet because I think for me, it'll be one 81 00:03:34,760 --> 00:03:36,160 Speaker 2: of those things where then I'm going to be taking 82 00:03:36,200 --> 00:03:38,360 Speaker 2: pictures of everything and then it's gonna be like I'm 83 00:03:38,360 --> 00:03:39,960 Speaker 2: the girl like, wait a minute, I can't eat it 84 00:03:40,040 --> 00:03:41,880 Speaker 2: until I actually take a picture and see what's in it. 85 00:03:42,000 --> 00:03:43,640 Speaker 1: And they're like, I have a scale. I stiff on 86 00:03:43,640 --> 00:03:46,160 Speaker 1: that scale and make myself crazy every day. M hm. 87 00:03:46,800 --> 00:03:49,600 Speaker 1: So I'm used to me torturing myself like that, So 88 00:03:49,640 --> 00:03:50,800 Speaker 1: why not have some more intel? 89 00:03:50,960 --> 00:03:53,760 Speaker 2: Right, because then you're gonna be torturing people around you. 90 00:03:54,000 --> 00:03:57,600 Speaker 1: I do, guys, That's what we do every single day here. 91 00:03:58,680 --> 00:04:01,080 Speaker 1: All right, let's go. We got we got things on 92 00:04:01,120 --> 00:04:03,680 Speaker 1: the move. The time is ticket, we got. I gotta 93 00:04:03,680 --> 00:04:06,120 Speaker 1: get to eat forty on time because I've got the 94 00:04:06,120 --> 00:04:08,640 Speaker 1: Taylor tickets and I've got Ryan's roses on deck. Let's 95 00:04:08,680 --> 00:04:10,200 Speaker 1: come back with Angel City tickets to win.