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 --> 00:00:11,773 Speaker 1: from News Talks at. 3 00:00:11,653 --> 00:00:16,653 Speaker 2: B DNA is up for sale. Yep, that really popular 4 00:00:16,693 --> 00:00:19,693 Speaker 2: company for DNA testing twenty three and meters has filed 5 00:00:19,693 --> 00:00:24,093 Speaker 2: for bankruptcy, which means the DNA results of fifteen million 6 00:00:24,413 --> 00:00:27,933 Speaker 2: customers are potentially out for sale. Our textbit paulstine House 7 00:00:27,973 --> 00:00:30,013 Speaker 2: has the details. Paul, should we be worried? 8 00:00:30,733 --> 00:00:32,093 Speaker 3: Is it just first of all, isn't it just like 9 00:00:32,133 --> 00:00:35,533 Speaker 3: a dystopian line to say? It's kind of like something 10 00:00:35,533 --> 00:00:40,093 Speaker 3: out of the Black Mirror episodes on Netflix? Yeah, you know, yeah, 11 00:00:40,133 --> 00:00:43,013 Speaker 3: what are we going to do? It's actually DNA is 12 00:00:43,053 --> 00:00:46,093 Speaker 3: for sale And it's crazy that that is the major 13 00:00:46,213 --> 00:00:49,613 Speaker 3: asset of that company, right, Yeah, that is the thing 14 00:00:49,893 --> 00:00:52,533 Speaker 3: that they have and they sell. And here's where it 15 00:00:52,573 --> 00:00:56,213 Speaker 3: gets crazier, Jack. Not only have they you know, sequenced 16 00:00:56,333 --> 00:00:59,693 Speaker 3: the DNA, you could actually opt and I guess you 17 00:00:59,733 --> 00:01:03,813 Speaker 3: still can opt to actually have them store your saliva sample, 18 00:01:03,893 --> 00:01:08,613 Speaker 3: your physical saliva sample. Yeah. So people are now and 19 00:01:08,813 --> 00:01:13,093 Speaker 3: on the advice of very big figures. New York's Attorney 20 00:01:13,133 --> 00:01:15,813 Speaker 3: General basically said to customers it might be time to 21 00:01:15,853 --> 00:01:19,093 Speaker 3: take action to safeguard your data and people are doing that. 22 00:01:19,133 --> 00:01:23,573 Speaker 3: They're going to the website, they are trying to delete 23 00:01:23,653 --> 00:01:27,413 Speaker 3: their data and trying to get them to remove their 24 00:01:27,453 --> 00:01:30,893 Speaker 3: samples from I don't know the vault or the cold 25 00:01:30,933 --> 00:01:33,893 Speaker 3: storage or whatever they're stored in, but the website's been 26 00:01:33,893 --> 00:01:37,693 Speaker 3: going down. And there's a really interesting point that one 27 00:01:37,733 --> 00:01:41,053 Speaker 3: of the lawmakers in California who put in some of 28 00:01:41,093 --> 00:01:44,373 Speaker 3: the US's most strict privacy laws, right, he's made a 29 00:01:44,453 --> 00:01:46,773 Speaker 3: very interesting point. He's that great. I love that we 30 00:01:46,853 --> 00:01:49,813 Speaker 3: have the privacy laws, but they are now being tested 31 00:01:49,893 --> 00:01:53,573 Speaker 3: because if you've got a company that's filed for bankruptcy, Yeah, 32 00:01:53,733 --> 00:01:58,013 Speaker 3: what happens if the numbers of employees are cut? Who 33 00:01:58,093 --> 00:02:03,173 Speaker 3: is there to actually help process the electronic delete request? 34 00:02:04,133 --> 00:02:07,373 Speaker 3: But who's going to be there to actually physical In 35 00:02:07,413 --> 00:02:10,653 Speaker 3: this case, there's physical person data that you need to 36 00:02:10,693 --> 00:02:13,253 Speaker 3: destroy it as well. And if you think about all 37 00:02:13,253 --> 00:02:17,213 Speaker 3: these people going to this website to delete their data, 38 00:02:17,413 --> 00:02:21,413 Speaker 3: can a company actually handle tens of thousands of requests 39 00:02:21,453 --> 00:02:23,693 Speaker 3: in a couple of days, a couple of weeks like 40 00:02:23,733 --> 00:02:26,093 Speaker 3: whatever it might look like. Because I don't know if 41 00:02:26,133 --> 00:02:28,773 Speaker 3: you know this, there are some really old systems around there. 42 00:02:28,813 --> 00:02:31,173 Speaker 3: If you ever unsubscribe from an email and you think, 43 00:02:31,413 --> 00:02:33,253 Speaker 3: why am I still getting emails? Or it says it's 44 00:02:33,293 --> 00:02:36,493 Speaker 3: going to take seven to ten business days. Sometimes it's 45 00:02:36,533 --> 00:02:40,413 Speaker 3: because that involves an actual person getting maybe an email 46 00:02:40,453 --> 00:02:44,293 Speaker 3: themselves that says, go and delete Jack Tame from this database, 47 00:02:44,333 --> 00:02:45,733 Speaker 3: this database, this database. 48 00:02:46,293 --> 00:02:46,733 Speaker 1: Wow. 49 00:02:46,933 --> 00:02:48,893 Speaker 3: So I'm not saying that is how twenty three and 50 00:02:48,973 --> 00:02:50,453 Speaker 3: meters is, but like you can. 51 00:02:50,373 --> 00:02:53,373 Speaker 2: Imagine, yeah what I really get it like it could 52 00:02:53,413 --> 00:02:56,813 Speaker 2: be chaos, definitely. Yeah, it's it is a bit kind 53 00:02:56,853 --> 00:02:59,573 Speaker 2: of dy stopian. Ah, and you can just imagine for 54 00:02:59,693 --> 00:03:05,133 Speaker 2: insurance companies or anyone else how bad matteriformation might be. Yeah, yeah, yeah. 55 00:03:05,213 --> 00:03:10,613 Speaker 2: You know, Hey, the AI note taker otter, which I've 56 00:03:10,733 --> 00:03:14,133 Speaker 2: used a little bit that it gets used by companies 57 00:03:14,133 --> 00:03:16,533 Speaker 2: and meetings and that kind of thing, you know, to 58 00:03:16,613 --> 00:03:19,133 Speaker 2: listen to the conversations and write up notes, but now 59 00:03:19,173 --> 00:03:19,933 Speaker 2: has opinions. 60 00:03:20,493 --> 00:03:23,053 Speaker 3: It does. I mean, it's very handy. It takes notes. 61 00:03:23,053 --> 00:03:24,933 Speaker 3: I don't know about you, but people, I'm not very 62 00:03:24,973 --> 00:03:27,213 Speaker 3: good at taking notes. Yeah, you know, I always forget 63 00:03:27,213 --> 00:03:29,253 Speaker 3: that you're supposed to do something, but the AI helps 64 00:03:29,293 --> 00:03:32,853 Speaker 3: with that. But it's been listening and yes, it's been deciding, 65 00:03:32,853 --> 00:03:35,653 Speaker 3: and it's been analyzing data and otter AI is now 66 00:03:35,693 --> 00:03:39,493 Speaker 3: slowly rolling out some new tools that some of these 67 00:03:39,533 --> 00:03:41,893 Speaker 3: are kind of creepy. So you can actually summon the 68 00:03:41,933 --> 00:03:44,573 Speaker 3: AI kind of during the meeting because it's there. You 69 00:03:44,573 --> 00:03:47,173 Speaker 3: see it in yeah participants list, so you can kind 70 00:03:47,173 --> 00:03:49,293 Speaker 3: of ask it like Siri to do things now like 71 00:03:49,413 --> 00:03:52,013 Speaker 3: send an email or look up meeting information and things 72 00:03:52,053 --> 00:03:53,973 Speaker 3: that it has in its database. Wouldn't it be great 73 00:03:53,973 --> 00:03:57,053 Speaker 3: if you were like, hey, AI, didn't Jack actually do 74 00:03:57,133 --> 00:03:58,453 Speaker 3: that thing he said he was going to do in 75 00:03:58,493 --> 00:03:59,173 Speaker 3: the last meeting? 76 00:04:00,213 --> 00:04:00,293 Speaker 1: No? 77 00:04:01,093 --> 00:04:04,333 Speaker 3: Oops? But also this is the one that got me. 78 00:04:05,253 --> 00:04:10,373 Speaker 3: It also cares and do live sales coaching. So you're 79 00:04:10,413 --> 00:04:13,333 Speaker 3: on the call and you know, there's you Jack, the salesperson. 80 00:04:13,453 --> 00:04:16,293 Speaker 3: You know you're doing your best pitch, and the ALI 81 00:04:16,493 --> 00:04:19,973 Speaker 3: is chirping and giving you messages and things saying, actually, Jack, 82 00:04:20,533 --> 00:04:23,973 Speaker 3: you shouldn't be talking so much. Actually Jack, remember here's 83 00:04:24,053 --> 00:04:26,373 Speaker 3: the line you should be saying. Yeah. And it also 84 00:04:26,453 --> 00:04:29,453 Speaker 3: gives you information on how to handle complaints. Isn't that funny? 85 00:04:29,493 --> 00:04:30,133 Speaker 2: That's amazing? 86 00:04:30,373 --> 00:04:33,333 Speaker 3: Yeah, it's so ridiculous. I mean it's great, but it's 87 00:04:33,413 --> 00:04:36,693 Speaker 3: ridiculous and scary and terrifying and cool all exactly the 88 00:04:36,733 --> 00:04:37,293 Speaker 3: same yeah. 89 00:04:37,333 --> 00:04:38,813 Speaker 2: Yeah, yeah, that's like a way to sum it that. 90 00:04:38,893 --> 00:04:41,413 Speaker 2: Thank you, Paul. That's our textbot Paul Stenhouse. 91 00:04:42,093 --> 00:04:45,173 Speaker 1: For more from Saturday Morning with Jack Tame, listen live 92 00:04:45,253 --> 00:04:48,093 Speaker 1: to news Talks i'd Be from nine am Saturday, or 93 00:04:48,173 --> 00:04:50,053 Speaker 1: follow the podcast on iHeartRadio