1 00:00:07,133 --> 00:00:10,453 Speaker 1: You're listening to the Saturday Morning with Jack Tame podcast 2 00:00:10,573 --> 00:00:11,693 Speaker 1: from News Talks at B. 3 00:00:12,773 --> 00:00:17,733 Speaker 2: TikTok's US deal is final, so half of TikTok Us 4 00:00:17,813 --> 00:00:21,253 Speaker 2: is now owned by new investors. Textbert Paul Stenhouse, no 5 00:00:21,293 --> 00:00:23,013 Speaker 2: doubt is one of them. He's with us right now. 6 00:00:23,773 --> 00:00:25,853 Speaker 2: Good morning, Yeah, good morning. 7 00:00:25,853 --> 00:00:28,533 Speaker 3: I wish it was. This deal kind of wasn't valued 8 00:00:28,533 --> 00:00:30,733 Speaker 3: at that much, which I know sounds crazy because the 9 00:00:30,773 --> 00:00:34,173 Speaker 3: price tags fourteen billion dollars, but I would have thought 10 00:00:34,213 --> 00:00:37,373 Speaker 3: the US would be worth significantly more than that of 11 00:00:37,413 --> 00:00:40,893 Speaker 3: the TikTok pie, so I was a little bit surprised. 12 00:00:40,893 --> 00:00:43,613 Speaker 3: So those new investors, I'm sure are very happy. Thirty 13 00:00:43,613 --> 00:00:46,853 Speaker 3: percent of the company is owned by previous investors, and 14 00:00:46,893 --> 00:00:50,933 Speaker 3: then twenty percent is owned by the Chinese owned Byte Dance, 15 00:00:50,973 --> 00:00:53,053 Speaker 3: which used to own one hundred and I should be 16 00:00:53,093 --> 00:00:56,173 Speaker 3: careful and not round at Jack, because apparently it's nineteen 17 00:00:56,213 --> 00:00:59,893 Speaker 3: point nine percent owned by the Chinese, which is very 18 00:00:59,973 --> 00:01:04,253 Speaker 3: important because it means it's under the twenty percent old, 19 00:01:04,653 --> 00:01:06,733 Speaker 3: which I think some lawmakers have been a little kind 20 00:01:06,773 --> 00:01:10,373 Speaker 3: of particular about. But it means now that in the US, 21 00:01:10,693 --> 00:01:14,213 Speaker 3: all of the US users will have all of their 22 00:01:14,333 --> 00:01:17,693 Speaker 3: data stored in the US. The algorithm will be trained 23 00:01:17,773 --> 00:01:20,573 Speaker 3: on US users and it will be this US entity 24 00:01:20,573 --> 00:01:24,133 Speaker 3: that does content moderation, right, so it's governed by a 25 00:01:24,173 --> 00:01:28,173 Speaker 3: new board. I do think by Dance hasn't done too 26 00:01:28,253 --> 00:01:30,413 Speaker 3: bad out of this. They're going to be getting a 27 00:01:30,493 --> 00:01:33,493 Speaker 3: license fee on all the revenue, like straight off the top. 28 00:01:33,773 --> 00:01:36,453 Speaker 3: They get profits here as well, and they don't have 29 00:01:36,453 --> 00:01:37,133 Speaker 3: to shut it down. 30 00:01:37,693 --> 00:01:41,093 Speaker 2: So yeah, it's not a terrible deal. No, I mean, 31 00:01:41,133 --> 00:01:42,773 Speaker 2: it does mean they get to keep operating, which I 32 00:01:42,813 --> 00:01:45,573 Speaker 2: suppose was their big concern, right, so yeah, you know, 33 00:01:45,973 --> 00:01:48,533 Speaker 2: still turning apove it. But yeah, it'll be very interesting 34 00:01:48,573 --> 00:01:51,973 Speaker 2: to see how if like this changes the kind of 35 00:01:52,013 --> 00:01:54,133 Speaker 2: algorithm and the data and the and the and the 36 00:01:54,173 --> 00:01:57,693 Speaker 2: way in which TikTok uses in the US actually see 37 00:01:57,733 --> 00:01:59,173 Speaker 2: the platform, right. 38 00:01:59,773 --> 00:02:02,453 Speaker 3: Yes, yeah, if they can, if they can feel the difference, 39 00:02:02,533 --> 00:02:07,893 Speaker 3: because it's funny, you know, this is a strange app 40 00:02:07,973 --> 00:02:10,893 Speaker 3: in some ways, and that people love the algorithm. Like 41 00:02:10,933 --> 00:02:13,333 Speaker 3: the typical talking point is like all algorithm bad, but 42 00:02:13,453 --> 00:02:15,373 Speaker 3: this is like, oh no, we love it. Like that's 43 00:02:15,373 --> 00:02:18,453 Speaker 3: why people talk about I'm on xtok, you know, like 44 00:02:18,493 --> 00:02:21,813 Speaker 3: I'm on plant talk or I'm on food talk. Or 45 00:02:21,893 --> 00:02:23,893 Speaker 3: pasta top right. They actually talk about it like it's 46 00:02:23,893 --> 00:02:26,493 Speaker 3: a thing that they found their way into this little 47 00:02:26,573 --> 00:02:30,253 Speaker 3: sphere of the algorithm, which makes TikTok TikTok. 48 00:02:30,333 --> 00:02:30,493 Speaker 1: Yeah. 49 00:02:30,613 --> 00:02:34,853 Speaker 2: Interesting. Hey, Spotify has been trialing a new part of 50 00:02:34,893 --> 00:02:36,853 Speaker 2: its product in New Zealand, and now they're going to 51 00:02:36,853 --> 00:02:38,773 Speaker 2: be taking that worldwide. Yeah. 52 00:02:39,093 --> 00:02:42,013 Speaker 3: New Zealand did good. Hey, apparently it was popular. It 53 00:02:42,013 --> 00:02:45,053 Speaker 3: did what it was supposed to do, and so now 54 00:02:45,093 --> 00:02:47,453 Speaker 3: it is going to start rolling out across North America. 55 00:02:47,533 --> 00:02:50,333 Speaker 3: And this is a feature where you can ask to 56 00:02:50,413 --> 00:02:53,013 Speaker 3: create a playlist about anything you want, and you can 57 00:02:53,053 --> 00:02:56,413 Speaker 3: be as specific or unspecific as you would like. You 58 00:02:56,413 --> 00:02:59,013 Speaker 3: can ask to be pumped up with some positive beats. 59 00:02:59,093 --> 00:03:02,173 Speaker 3: You can ask for instrumental pop hits. If you have 60 00:03:02,333 --> 00:03:05,453 Speaker 3: a you know, real grasp of the musical language, I'm 61 00:03:05,453 --> 00:03:08,933 Speaker 3: sure you can get very very specific. But a fun 62 00:03:08,973 --> 00:03:11,853 Speaker 3: one jack that they mentioned in their press release is 63 00:03:11,893 --> 00:03:15,373 Speaker 3: you can actually also ask to be broken out of 64 00:03:15,413 --> 00:03:18,533 Speaker 3: your usual listening habits because not only does it know 65 00:03:18,653 --> 00:03:22,013 Speaker 3: about the world of music in real time, so what's 66 00:03:22,013 --> 00:03:24,333 Speaker 3: big on the charts and what's big trending and what's 67 00:03:24,453 --> 00:03:28,053 Speaker 3: happening in culture, but it knows what you have been 68 00:03:28,093 --> 00:03:31,133 Speaker 3: listening to. Yeah, and so you could say, don't put 69 00:03:31,173 --> 00:03:33,133 Speaker 3: any songs in the playlist that I haven't listened to 70 00:03:33,213 --> 00:03:35,773 Speaker 3: this week, or give me artists I've never heard of, 71 00:03:35,973 --> 00:03:38,413 Speaker 3: or give me new songs by my favorite artist. You 72 00:03:38,413 --> 00:03:41,453 Speaker 3: can get that particular and it will go through and 73 00:03:41,453 --> 00:03:42,853 Speaker 3: it will make that playlist for you. Yeah. 74 00:03:42,933 --> 00:03:45,893 Speaker 2: Okay, not very interesting, Thanks Paul. That is our Textbert 75 00:03:45,933 --> 00:03:46,973 Speaker 2: Paul Stenhouse. 76 00:03:47,813 --> 00:03:50,933 Speaker 1: For more from Saturday Morning with Jack Tame, listen live 77 00:03:51,013 --> 00:03:53,853 Speaker 1: to news talks that'd be from nine am Saturday, or 78 00:03:53,893 --> 00:03:55,813 Speaker 1: follow the podcast on iHeartRadio