1
00:00:07,133 --> 00:00:10,453
Speaker 1: You're listening to the Saturday Morning with Jack team podcast

2
00:00:10,573 --> 00:00:11,973
Speaker 1: from Newstalk ZB.

3
00:00:12,773 --> 00:00:15,533
Speaker 2: Twenty two to eleven Non News TALKSZB. It was only

4
00:00:15,613 --> 00:00:17,653
Speaker 2: a matter of time. This time last week, in fact,

5
00:00:17,773 --> 00:00:21,773
Speaker 2: I was asking our textbert Paul Stenhouse about Apple Intelligence,

6
00:00:22,453 --> 00:00:26,253
Speaker 2: Apple's much much hyped new technology that it turns out

7
00:00:27,093 --> 00:00:29,733
Speaker 2: does not live up to the hype, at least not yet. So, yes,

8
00:00:29,773 --> 00:00:32,453
Speaker 2: the lawsuits have begun. Paul's with us again this morning.

9
00:00:32,533 --> 00:00:35,213
Speaker 2: This was no great surprise, Paul.

10
00:00:35,213 --> 00:00:35,853
Speaker 3: No good.

11
00:00:35,853 --> 00:00:37,733
Speaker 4: We're still ahead of the times on the on the

12
00:00:37,773 --> 00:00:40,253
Speaker 4: Saturday Mornings ZB show, aren't we, Jack. This is where

13
00:00:40,253 --> 00:00:43,293
Speaker 4: you come for breaking news and real analysis. But yeah,

14
00:00:43,333 --> 00:00:46,893
Speaker 4: we called it right because, as we've both experienced, you

15
00:00:46,933 --> 00:00:49,933
Speaker 4: look at these new iPhones and you say it's supposed

16
00:00:49,973 --> 00:00:52,813
Speaker 4: to do all this really amazing stuff, and you hear Apple,

17
00:00:53,093 --> 00:00:55,933
Speaker 4: and I think as well, Apple over the years has

18
00:00:55,973 --> 00:00:58,013
Speaker 4: built up such a reputation of trust that when they

19
00:00:58,093 --> 00:01:01,093
Speaker 4: say that they're going to do something as this lawsuit

20
00:01:01,213 --> 00:01:03,853
Speaker 4: kind of mentions, you really do expect.

21
00:01:03,413 --> 00:01:05,933
Speaker 3: That they're going to come through on it. Right. You

22
00:01:05,933 --> 00:01:07,293
Speaker 3: have a belief.

23
00:01:06,973 --> 00:01:08,933
Speaker 4: That the thing that you thought you were going to

24
00:01:08,933 --> 00:01:10,613
Speaker 4: be able to do, you're going to be able to do.

25
00:01:10,653 --> 00:01:13,053
Speaker 3: And well you kind of can't.

26
00:01:13,293 --> 00:01:16,893
Speaker 4: And so yeah, there's been a lawsuit over here taken

27
00:01:16,973 --> 00:01:19,893
Speaker 4: up by a law firm where they're really trying to

28
00:01:19,893 --> 00:01:22,773
Speaker 4: start a class action lawsuit on behalf of all of

29
00:01:22,813 --> 00:01:27,293
Speaker 4: the iPhone sixteen owners. And really at the center of

30
00:01:27,293 --> 00:01:31,133
Speaker 4: it is one ad in particular that shows Bella Ramsey.

31
00:01:31,173 --> 00:01:33,413
Speaker 3: Now you may know the Ramsey name. Gordon Ramsey's daughter.

32
00:01:33,493 --> 00:01:35,453
Speaker 3: She's in Game of Thrones and The Last of Us.

33
00:01:35,493 --> 00:01:37,573
Speaker 4: She's in one of these new ads that was showing

34
00:01:38,053 --> 00:01:42,093
Speaker 4: Siri basically being able to pull up the details of

35
00:01:42,133 --> 00:01:45,613
Speaker 4: someone based on you know, very personal information that was in.

36
00:01:45,533 --> 00:01:47,013
Speaker 3: Your messages and in your calendar.

37
00:01:47,533 --> 00:01:49,573
Speaker 4: Siri can't do that, and it's probably going to be

38
00:01:49,653 --> 00:01:52,253
Speaker 4: quite some time before Siri can do that. And that

39
00:01:52,373 --> 00:01:54,653
Speaker 4: is now this one ad is now the basis of

40
00:01:55,053 --> 00:01:56,613
Speaker 4: this lawsuit in federal court.

41
00:01:56,733 --> 00:01:59,253
Speaker 2: It's amazing because Apple is just like I think we

42
00:01:59,293 --> 00:02:02,093
Speaker 2: said last week, it's not like Apple to kind of,

43
00:02:02,333 --> 00:02:06,253
Speaker 2: i mean to advertise technology that they don't actually have,

44
00:02:06,613 --> 00:02:10,173
Speaker 2: you know, to kind of oversell armer. Yeah, really rare

45
00:02:10,213 --> 00:02:10,493
Speaker 2: for them.

46
00:02:10,493 --> 00:02:13,373
Speaker 4: You know, they usually they usually will talk about things

47
00:02:13,373 --> 00:02:16,013
Speaker 4: and then actually it's like it always says that in

48
00:02:16,053 --> 00:02:19,013
Speaker 4: the next release of iOS, you'll be able to do this,

49
00:02:19,133 --> 00:02:20,453
Speaker 4: or when you get the next night Phone, you'll be

50
00:02:20,453 --> 00:02:23,133
Speaker 4: able to do something. And I honestly think that that

51
00:02:23,133 --> 00:02:25,293
Speaker 4: that kind of precedent that they have and that trust

52
00:02:25,333 --> 00:02:26,933
Speaker 4: they have will probably be a really big part of

53
00:02:26,933 --> 00:02:27,333
Speaker 4: the suit.

54
00:02:27,573 --> 00:02:28,053
Speaker 3: Yeah.

55
00:02:28,133 --> 00:02:31,253
Speaker 2: Yeah, I think so too. Hey, TikTok has removed its

56
00:02:31,373 --> 00:02:32,173
Speaker 2: chubby filter.

57
00:02:33,373 --> 00:02:36,213
Speaker 4: I know this is you know, usually these filters are fun, right,

58
00:02:36,253 --> 00:02:38,373
Speaker 4: These filters are usually you you know, they put some

59
00:02:38,413 --> 00:02:40,533
Speaker 4: silly makeup on you or some glam or they have

60
00:02:40,613 --> 00:02:42,973
Speaker 4: some vintage effects, or they put you in the ocean.

61
00:02:43,013 --> 00:02:43,733
Speaker 3: They're kind of fun.

62
00:02:44,053 --> 00:02:49,253
Speaker 4: This filter here was well, a little interesting jacket added

63
00:02:49,293 --> 00:02:51,813
Speaker 4: a few pounds to you. So you put the filter

64
00:02:51,933 --> 00:02:54,573
Speaker 4: on of you, or you uploaded a photo, so I

65
00:02:54,573 --> 00:02:56,213
Speaker 4: guess it could be your view or a friend or

66
00:02:56,213 --> 00:02:59,173
Speaker 4: an enemy, I guess, And you know, it kind of

67
00:02:59,693 --> 00:03:01,973
Speaker 4: led you into believing what maybe you could look like

68
00:03:02,053 --> 00:03:04,733
Speaker 4: if you had, you know, a few too many snacks.

69
00:03:05,373 --> 00:03:08,093
Speaker 4: And while people started posting there before and after pictures,

70
00:03:08,173 --> 00:03:10,173
Speaker 4: and I think this is where it got me.

71
00:03:10,333 --> 00:03:11,933
Speaker 3: People started posting that They're like, I.

72
00:03:11,933 --> 00:03:15,613
Speaker 4: Actually don't look too bad chubby, you know, And then

73
00:03:16,093 --> 00:03:19,973
Speaker 4: they didn't go down well with some Well, TikTok has

74
00:03:19,973 --> 00:03:23,533
Speaker 4: now said they have removed the filter. It was actually

75
00:03:23,573 --> 00:03:25,733
Speaker 4: created by one of their sister companies as part of

76
00:03:25,773 --> 00:03:27,653
Speaker 4: the kind of bike dance whole family.

77
00:03:27,653 --> 00:03:30,133
Speaker 3: But they've removed this filter. TikTok's not going to be

78
00:03:30,173 --> 00:03:32,813
Speaker 3: recommending these videos in the algorithm, and the chubby filter

79
00:03:32,933 --> 00:03:33,413
Speaker 3: is no more.

80
00:03:33,613 --> 00:03:38,213
Speaker 2: Yeah, and finally, Paul Google says news is basically worthless

81
00:03:38,333 --> 00:03:39,373
Speaker 2: to their ad business.

82
00:03:40,133 --> 00:03:42,333
Speaker 4: I know, did did you get a slight dagger to

83
00:03:42,333 --> 00:03:42,613
Speaker 4: the heart?

84
00:03:42,653 --> 00:03:45,253
Speaker 2: The other's only about the three thousandth this year.

85
00:03:45,333 --> 00:03:48,013
Speaker 3: I don't worry. You probably get just yelled at you

86
00:03:48,053 --> 00:03:49,013
Speaker 3: in the streets. No.

87
00:03:49,493 --> 00:03:53,373
Speaker 4: So Google ran an experiment where in eight European countries

88
00:03:53,733 --> 00:03:55,973
Speaker 4: they took away all of the news results for one

89
00:03:56,013 --> 00:03:57,853
Speaker 4: percent of the audience. They did it for two and

90
00:03:57,893 --> 00:04:01,893
Speaker 4: a half months and the result was basically they saw

91
00:04:01,973 --> 00:04:04,493
Speaker 4: no impact at all. In fact, their press release was

92
00:04:04,653 --> 00:04:07,733
Speaker 4: I think kind of brutal said that could not quote

93
00:04:07,773 --> 00:04:13,973
Speaker 4: be statistically distinguished from zero ouch. So in the EU,

94
00:04:14,493 --> 00:04:17,653
Speaker 4: Google has to pay news publishers to use snippets of

95
00:04:17,653 --> 00:04:20,773
Speaker 4: their content, and when they go into the next negotiation,

96
00:04:20,973 --> 00:04:23,213
Speaker 4: I mean they're kind of going to have the other hand,

97
00:04:23,613 --> 00:04:26,573
Speaker 4: because if they're saying that their ad business the thing

98
00:04:26,613 --> 00:04:30,973
Speaker 4: that basically powers Google search, right for Google anyway, right,

99
00:04:31,013 --> 00:04:33,773
Speaker 4: that's the thing that runs the whole business selling the

100
00:04:33,813 --> 00:04:34,693
Speaker 4: ads at the top.

101
00:04:34,933 --> 00:04:36,333
Speaker 3: If you can turn off all of the.

102
00:04:36,293 --> 00:04:39,293
Speaker 4: News content and it doesn't change anything to do with

103
00:04:39,333 --> 00:04:43,293
Speaker 4: the Google Ads business, it doesn't look good for those publishers.

104
00:04:43,733 --> 00:04:45,773
Speaker 4: And Google even said in their press release that, hey,

105
00:04:46,013 --> 00:04:50,253
Speaker 4: publishers they think may be slightly overvaluing the you know,

106
00:04:50,333 --> 00:04:51,013
Speaker 4: their product.

107
00:04:51,253 --> 00:04:53,013
Speaker 3: Of course, this is just one metric.

108
00:04:53,653 --> 00:04:56,253
Speaker 4: You could have a very good argument that hey, maybe

109
00:04:56,293 --> 00:04:59,413
Speaker 4: for the Google brand, or maybe for the good of society,

110
00:04:59,973 --> 00:05:01,853
Speaker 4: maybe the news should probably still be in.

111
00:05:01,813 --> 00:05:02,733
Speaker 3: Those search results.

112
00:05:03,613 --> 00:05:07,613
Speaker 4: But hey, when it comes to the actual business metrics, statistically,

113
00:05:08,493 --> 00:05:10,213
Speaker 4: they couldn't distinguish it from zero.

114
00:05:10,493 --> 00:05:14,613
Speaker 2: Oh yeah, that's brutal, it is. Thanks Paul Teas for

115
00:05:14,773 --> 00:05:15,733
Speaker 2: Paul Steinhouse Stean.

116
00:05:16,373 --> 00:05:19,493
Speaker 1: For more from Saturday Morning with Jack Tame, listen live

117
00:05:19,573 --> 00:05:22,373
Speaker 1: to News Talks d B from nine am Saturday, or

118
00:05:22,453 --> 00:05:24,373
Speaker 1: follow the podcast on iHeartRadio.