1
00:00:00,040 --> 00:00:01,920
Speaker 1: Cadiot, what are three things we need to know? Starting

2
00:00:01,920 --> 00:00:04,120
Speaker 1: early next year, you're going to be able to watch

3
00:00:04,320 --> 00:00:09,680
Speaker 1: Spotify's biggest podcasts right on Netflix. So this pairing has

4
00:00:09,920 --> 00:00:13,160
Speaker 1: fans who love video podcasts going to be obsessed with

5
00:00:13,200 --> 00:00:17,600
Speaker 1: it because it's basically turning binge listening into binge watching.

6
00:00:17,840 --> 00:00:20,040
Speaker 1: Like I said, early next year, this will be available.

7
00:00:20,320 --> 00:00:23,479
Speaker 1: There's a new term you guys. It's ozempic sober, Like,

8
00:00:23,520 --> 00:00:26,319
Speaker 1: are you a zempic sober? After a new study said

9
00:00:26,480 --> 00:00:29,400
Speaker 1: some people on ozepic and Weego VR are feeling less

10
00:00:29,480 --> 00:00:31,640
Speaker 1: drunk when they drink. The crazy thing is is like

11
00:00:31,920 --> 00:00:34,640
Speaker 1: their blood alcohol level is the same, but I guess

12
00:00:34,640 --> 00:00:37,479
Speaker 1: the alcohol hits their brains a little slower so they

13
00:00:37,600 --> 00:00:41,160
Speaker 1: feel less drunk. Scientists actually think this could one day

14
00:00:41,200 --> 00:00:44,199
Speaker 1: help treat alcohol use disorder. They're still digging into it,

15
00:00:44,240 --> 00:00:46,479
Speaker 1: still need more research, but they're saying this is actually

16
00:00:46,479 --> 00:00:49,240
Speaker 1: a promising thing they're figuring out here. Really is it

17
00:00:49,320 --> 00:00:52,120
Speaker 1: for good? I thought that was pretty cool. Huh, This

18
00:00:53,040 --> 00:00:55,080
Speaker 1: John Jay could be a game changer for you. I

19
00:00:55,080 --> 00:00:56,840
Speaker 1: could see you ordering one of these, like right now.

20
00:00:57,200 --> 00:01:01,520
Speaker 1: A Japanese company just debuted the body washing machine. It's

21
00:01:01,560 --> 00:01:06,160
Speaker 1: a futuristic pod that literally washes for you. You sit

22
00:01:06,200 --> 00:01:10,759
Speaker 1: there while microsycopic little bubbles and washing does all the scrubbing.

23
00:01:10,920 --> 00:01:14,920
Speaker 1: You get super clean while a projector shows you calming

24
00:01:14,959 --> 00:01:16,000
Speaker 1: and relaxing shows.

25
00:01:16,120 --> 00:01:17,720
Speaker 2: Now, how long is the session?

26
00:01:18,200 --> 00:01:22,000
Speaker 1: I guess however long you want it to be. It

27
00:01:22,040 --> 00:01:23,880
Speaker 1: could probably be thirty seconds that you could be in

28
00:01:23,959 --> 00:01:27,720
Speaker 1: and out. They said. There's also sensors that detect your

29
00:01:27,720 --> 00:01:31,120
Speaker 1: physical and mental wellness as you bathe, so it can

30
00:01:31,160 --> 00:01:33,280
Speaker 1: give you tips and pointers on how to be healthier

31
00:01:33,319 --> 00:01:36,520
Speaker 1: as well. Six of these units have already been ordered

32
00:01:36,520 --> 00:01:39,120
Speaker 1: for hotels in Japan, so if you're thinking of staying

33
00:01:39,160 --> 00:01:41,200
Speaker 1: you don want to, like, just try to find the

34
00:01:41,200 --> 00:01:44,560
Speaker 1: hotel that bought these things there. They cost a pretty penny,

35
00:01:44,560 --> 00:01:46,280
Speaker 1: they say. Right now. They cost about the same as

36
00:01:46,319 --> 00:01:47,880
Speaker 1: like a luxury imported car.

37
00:01:48,160 --> 00:01:50,520
Speaker 2: Oh wow, yeah, that's pricey. Japan's always ahead of it.

38
00:01:50,600 --> 00:01:53,240
Speaker 1: Idents all analogy. I could also just get in the shower,

39
00:01:53,680 --> 00:01:56,320
Speaker 1: you could, But Richie, I think they're capitalizing on the

40
00:01:56,360 --> 00:01:58,280
Speaker 1: fact that a lot of people are lazy and maybe

41
00:01:58,360 --> 00:02:01,440
Speaker 1: want to I don't know, maybe they want a multitask.

42
00:02:01,520 --> 00:02:04,280
Speaker 1: While something is washing their body for them. They can

43
00:02:04,280 --> 00:02:06,320
Speaker 1: do other things if you can afford it, I guess.

44
00:02:06,320 --> 00:02:07,960
Speaker 1: I mean it's kind of a cool idea. And that's

45
00:02:07,960 --> 00:02:08,720
Speaker 1: three things you need to know.

46
00:02:09,520 --> 00:02:13,000
Speaker 2: Last night, Well, last night I had a fun little

47
00:02:13,200 --> 00:02:16,680
Speaker 2: girl's dinner with my friend Peyton. And it's kind of

48
00:02:16,720 --> 00:02:20,880
Speaker 2: funny because we have the same exact name. It's spelt

49
00:02:20,919 --> 00:02:23,160
Speaker 2: the same exact way, like we're Peyton's with a's, not

50
00:02:23,200 --> 00:02:26,040
Speaker 2: Peyton's with ease. We both have a mom that's white

51
00:02:26,040 --> 00:02:28,520
Speaker 2: and a dad that's black. We both have curly hair,

52
00:02:28,800 --> 00:02:31,440
Speaker 2: we both played basketball. We've known each other since we

53
00:02:31,440 --> 00:02:32,720
Speaker 2: were like in the seventh grade. We played on the

54
00:02:32,720 --> 00:02:35,600
Speaker 2: same basketball teams. And it's like so funny, but always

55
00:02:35,639 --> 00:02:39,160
Speaker 2: so awkward to have those conversations because it's like, yeah,

56
00:02:39,240 --> 00:02:41,160
Speaker 2: we know we're the same, but like we're.

57
00:02:41,160 --> 00:02:43,280
Speaker 1: Everyone always ask you if your sisters when you're together.

58
00:02:43,400 --> 00:02:45,480
Speaker 2: No, we don't ever. We haven't ever gotten this sister.

59
00:02:46,760 --> 00:02:51,720
Speaker 2: Do we look alike? I think that we could look alike.

60
00:02:51,760 --> 00:02:53,880
Speaker 2: We both have curly hair, we both have I don't

61
00:02:53,880 --> 00:02:55,720
Speaker 2: think we look alike, but I think you could probably

62
00:02:55,760 --> 00:02:57,440
Speaker 2: if we stood next to each other, you'd probably be like, oh,

63
00:02:57,440 --> 00:02:59,840
Speaker 2: you guys kind of look alike. But it's kind of

64
00:03:00,080 --> 00:03:02,160
Speaker 2: kind of feel for her, though specifically, so get this.

65
00:03:02,240 --> 00:03:04,200
Speaker 2: There was this kind of a story that we like

66
00:03:04,280 --> 00:03:07,040
Speaker 2: to tell. When I was in the seventh grade, she

67
00:03:07,200 --> 00:03:09,160
Speaker 2: was in the eighth grade, and she had just moved

68
00:03:09,160 --> 00:03:12,720
Speaker 2: to Arizona and I played on the seventh grade basketball team.

69
00:03:12,760 --> 00:03:14,760
Speaker 2: She played on the eighth grade basketball team. So at

70
00:03:14,760 --> 00:03:16,600
Speaker 2: the end of the year when the yearbooks come out,

71
00:03:16,600 --> 00:03:19,040
Speaker 2: they always do like a page dedicated to each of

72
00:03:19,080 --> 00:03:22,040
Speaker 2: the teams. Every single time her name was mentioned in

73
00:03:22,040 --> 00:03:24,880
Speaker 2: the yearbook, it was my name. So her name's not

74
00:03:24,919 --> 00:03:26,960
Speaker 2: anywhere in our yearbook and it's only me, and I

75
00:03:27,000 --> 00:03:30,040
Speaker 2: feel so bad every single time. All her accomplishments go

76
00:03:30,120 --> 00:03:33,079
Speaker 2: to you, all of her accomplishments, I get them. Yes.

77
00:03:33,800 --> 00:03:35,840
Speaker 1: Have you ever met another girl named Kyle? Kyle?

78
00:03:36,120 --> 00:03:36,360
Speaker 2: I have?

79
00:03:36,520 --> 00:03:39,480
Speaker 1: Actually I met one girl Kyle and it was at

80
00:03:39,520 --> 00:03:41,440
Speaker 1: my first job when I worked at Bagel Nash. We

81
00:03:41,480 --> 00:03:43,400
Speaker 1: worked together and she was like, you're Kyle. I'm like,

82
00:03:43,640 --> 00:03:48,360
Speaker 1: you're Kyle. Did we just become best friend? It was

83
00:03:48,720 --> 00:03:51,680
Speaker 1: so cool because they're usually mostly just boy Kyle's, but

84
00:03:51,840 --> 00:03:54,520
Speaker 1: us girl Kyle's were out there far between.

85
00:03:55,240 --> 00:03:55,880
Speaker 2: We united