1
00:00:00,240 --> 00:00:03,160
Speaker 1: This is the fits in Whipper with Kate Richie podcast

2
00:00:03,480 --> 00:00:06,960
Speaker 1: study has found announced this morning that chat GPT is

3
00:00:06,960 --> 00:00:08,640
Speaker 1: now ranked funnier than humans.

4
00:00:09,520 --> 00:00:10,639
Speaker 2: I'll give me a break.

5
00:00:12,440 --> 00:00:14,360
Speaker 3: This is did they learn from us?

6
00:00:14,560 --> 00:00:16,560
Speaker 2: This is going to fire up comedians, isn't it?

7
00:00:16,600 --> 00:00:17,799
Speaker 1: And it will it will?

8
00:00:17,960 --> 00:00:21,640
Speaker 2: Well, it doesn't have the emotion that the feelings behind

9
00:00:21,720 --> 00:00:25,200
Speaker 2: it deliver it literary. You can't deliver a punchline if

10
00:00:25,200 --> 00:00:26,920
Speaker 2: you're a computer timing.

11
00:00:27,840 --> 00:00:32,400
Speaker 1: Someone should build a robot that gets up at a

12
00:00:32,400 --> 00:00:37,320
Speaker 1: comedy festival and is completely chat gp driven. It's not bad,

13
00:00:37,760 --> 00:00:39,960
Speaker 1: so just to see how it goes, and you can

14
00:00:40,000 --> 00:00:41,760
Speaker 1: actually throw stuff at it if you don't like it.

15
00:00:43,880 --> 00:00:46,360
Speaker 2: Have you got Is there any audio of Whipp beginning

16
00:00:46,440 --> 00:00:49,200
Speaker 2: up for his TYPT five when he did his comedy show,

17
00:00:50,560 --> 00:00:54,000
Speaker 2: Well didn't we when he got his stand up desk Tom,

18
00:00:54,040 --> 00:00:56,360
Speaker 2: Remember you just used to put on a spotlight in

19
00:00:56,400 --> 00:01:00,640
Speaker 2: the office. You're right, mate, he's had a.

20
00:01:00,280 --> 00:01:02,320
Speaker 3: Oh no, you're taking on your doughnut.

21
00:01:02,640 --> 00:01:05,160
Speaker 1: He was a stand up desk comedian. I think is

22
00:01:05,760 --> 00:01:09,160
Speaker 1: that's right? Sorry about that, guys, something of a laugh

23
00:01:09,200 --> 00:01:11,039
Speaker 1: at some of my own world down the wrong way?

24
00:01:11,240 --> 00:01:13,720
Speaker 3: Yeah, I mean, look, I don't know if you if

25
00:01:13,760 --> 00:01:15,840
Speaker 3: you were listening to the show before. I mean, I

26
00:01:15,840 --> 00:01:19,119
Speaker 3: don't think chat GPT would have ever been able to

27
00:01:19,240 --> 00:01:22,759
Speaker 3: deliver that amazing figure joke that I did.

28
00:01:22,800 --> 00:01:26,520
Speaker 1: It didn't really land. So have you got what?

29
00:01:27,440 --> 00:01:31,399
Speaker 2: Have you got some evidence to why it's funny.

30
00:01:31,400 --> 00:01:32,960
Speaker 1: I'm going to test you guys out this morning as

31
00:01:32,959 --> 00:01:34,759
Speaker 1: I struggled through this one with my voice, but I'm

32
00:01:34,760 --> 00:01:37,480
Speaker 1: going to be okay, what was wrong? What did you have?

33
00:01:37,560 --> 00:01:39,560
Speaker 1: I don't know. Something went down the wrong way. So

34
00:01:39,800 --> 00:01:42,680
Speaker 1: this is at a university. What they've done is they've

35
00:01:42,680 --> 00:01:45,440
Speaker 1: got pants participants to write down jokes, and then they've

36
00:01:45,440 --> 00:01:50,480
Speaker 1: got chatchepe jokes to be delivered as well. Okay, They've

37
00:01:50,480 --> 00:01:53,120
Speaker 1: then compared them to an audience, and the audience has

38
00:01:53,160 --> 00:01:57,040
Speaker 1: suggested thank you. Tim Tom has suggested seventy five percent

39
00:01:58,000 --> 00:02:01,400
Speaker 1: of people saying that chat Chep two was actually funnier

40
00:02:01,440 --> 00:02:02,200
Speaker 1: than the humans.

41
00:02:02,320 --> 00:02:05,000
Speaker 2: Okay, well, well we need okay, so we need these

42
00:02:05,080 --> 00:02:07,640
Speaker 2: one liners? Are you doing big long jokes here? What

43
00:02:07,680 --> 00:02:08,160
Speaker 2: are we doing?

44
00:02:08,840 --> 00:02:11,680
Speaker 1: We're going to do one liners? Right, So I want

45
00:02:11,720 --> 00:02:15,960
Speaker 1: you I've got a list here of jokes written by humans,

46
00:02:16,040 --> 00:02:18,280
Speaker 1: and then I've got a list of jokes written by

47
00:02:18,440 --> 00:02:20,560
Speaker 1: chat GPT, and what do we have to do? You

48
00:02:20,600 --> 00:02:22,560
Speaker 1: have to tell me which one you think is funnier

49
00:02:22,840 --> 00:02:26,919
Speaker 1: out of the two. Okay, and that'll be That's not.

50
00:02:26,960 --> 00:02:31,760
Speaker 3: About what's funnier, that's about the audience, because what we

51
00:02:31,880 --> 00:02:34,639
Speaker 3: find funnier is unique to us.

52
00:02:34,639 --> 00:02:35,760
Speaker 1: Well, let's work on this study.

53
00:02:35,880 --> 00:02:38,800
Speaker 2: Well, you don't want chat GPT to win, mate, you.

54
00:02:39,200 --> 00:02:40,840
Speaker 1: It's going to be up to the audience, which is

55
00:02:40,919 --> 00:02:43,079
Speaker 1: now the four people in the studio with me here

56
00:02:43,120 --> 00:02:47,880
Speaker 1: as I host humans versus ai. Here we go. What

57
00:02:47,919 --> 00:02:51,320
Speaker 1: do you call a cow with no legs? Ground beef?

58
00:02:53,240 --> 00:02:54,919
Speaker 3: I thought you were going to say, you don't call

59
00:02:54,960 --> 00:02:59,919
Speaker 3: it anything because it won't come what it's a dog joke?

60
00:03:00,000 --> 00:03:00,280
Speaker 3: Isn't that?

61
00:03:00,360 --> 00:03:02,560
Speaker 1: What do you call what do you call a dog

62
00:03:02,600 --> 00:03:03,160
Speaker 1: with no legs?

63
00:03:03,240 --> 00:03:04,760
Speaker 3: We don't call it because it's not going to come

64
00:03:04,800 --> 00:03:09,640
Speaker 3: to you, not chat PC will not.

65
00:03:09,560 --> 00:03:11,160
Speaker 1: Be able to do that. Okay. What do you call

66
00:03:11,160 --> 00:03:14,680
Speaker 1: a sleepy dinosaur? A stegosnorus?

67
00:03:15,200 --> 00:03:16,120
Speaker 2: No, that's okay.

68
00:03:16,160 --> 00:03:20,000
Speaker 1: Which joke? Did you prefer beef or the stegosnoris?

69
00:03:20,040 --> 00:03:21,480
Speaker 2: I like the ground bread beef?

70
00:03:21,600 --> 00:03:22,400
Speaker 1: Are we going with ground?

71
00:03:22,919 --> 00:03:23,640
Speaker 2: I'm not twelve?

72
00:03:24,680 --> 00:03:27,960
Speaker 1: Here we go. Next joke? Why did the bicycle fall

73
00:03:28,000 --> 00:03:33,520
Speaker 1: over because it was too tired, too tired, cold, It's

74
00:03:33,600 --> 00:03:39,160
Speaker 1: not bad cone. Why did the pencil feel confident because

75
00:03:39,160 --> 00:03:39,840
Speaker 1: it had a point?

76
00:03:41,360 --> 00:03:44,360
Speaker 3: Okay, I'm going with the tired Joe.

77
00:03:44,080 --> 00:03:45,320
Speaker 1: To mark down tired there.

78
00:03:45,360 --> 00:03:48,840
Speaker 2: All right, let's we'll go together on this as humans

79
00:03:48,920 --> 00:03:50,760
Speaker 2: will go together against AI.

80
00:03:50,960 --> 00:03:55,120
Speaker 1: Okay, what about this one? What's red and smells like

81
00:03:55,240 --> 00:04:05,040
Speaker 1: blue paint? Red paint? Why did the scarecrow start a podcast?

82
00:04:06,600 --> 00:04:10,560
Speaker 1: He wanted to share his field of knowledge? Well, that's

83
00:04:10,400 --> 00:04:13,280
Speaker 1: that's wanted to be a That one's a I'm going

84
00:04:13,360 --> 00:04:13,880
Speaker 1: to go the.

85
00:04:13,800 --> 00:04:18,880
Speaker 2: Other paint The paint one's quite basic and yet effective.

86
00:04:19,560 --> 00:04:23,800
Speaker 1: What about this? Why do sprinters eat before they race? Sorry?

87
00:04:23,880 --> 00:04:27,920
Speaker 1: What do sprinters eat before they race? Nothing? They fast?

88
00:04:31,800 --> 00:04:33,520
Speaker 2: And I haven't heard that.

89
00:04:33,640 --> 00:04:37,440
Speaker 1: Why did the jellybean apply for a job? It wanted

90
00:04:37,480 --> 00:04:40,920
Speaker 1: to be a smartie? So what do you want to

91
00:04:40,920 --> 00:04:41,599
Speaker 1: go with? They?

92
00:04:41,720 --> 00:04:42,880
Speaker 2: I know about smarties.

93
00:04:44,040 --> 00:04:46,880
Speaker 3: You're trying to beat AI here, aren't you? Than just

94
00:04:46,920 --> 00:04:47,880
Speaker 3: go with what's funny.

95
00:04:48,000 --> 00:04:51,840
Speaker 2: I'm going for the topical Olympics one. I'm going for interesting.

96
00:04:51,600 --> 00:04:55,240
Speaker 3: Splinter well, and we're doing it together as human scrap

97
00:04:55,560 --> 00:04:56,080
Speaker 3: lock in.

98
00:04:56,240 --> 00:05:01,320
Speaker 1: Okay, sprinting Okay, it's a bad day for chatch ept.

99
00:05:01,720 --> 00:05:06,279
Speaker 1: The four you've chosen are all human jokes. We smashed

100
00:05:06,320 --> 00:05:12,719
Speaker 1: their computer. Well, they're listening to you, mate, They're always listening.

101
00:05:12,760 --> 00:05:15,359
Speaker 1: To be careful. Sits In Whipper with Kate Ritchie is

102
00:05:15,400 --> 00:05:18,800
Speaker 1: a Nova podcast walk great shows like this. Download the

103
00:05:18,880 --> 00:05:21,640
Speaker 1: Nova Player by the App Store or Google Play.

104
00:05:21,800 --> 00:05:22,760
Speaker 2: The Nova Player