1 00:00:07,173 --> 00:00:10,493 Speaker 1: You're listening to the Saturday Morning with Jack team podcast 2 00:00:10,613 --> 00:00:11,773 Speaker 1: from News Talks at b. 3 00:00:13,093 --> 00:00:17,013 Speaker 2: AI is coming to the Olympics. Not a great surprise, 4 00:00:17,133 --> 00:00:19,773 Speaker 2: I suppose, given the hype around the technology. But it's 5 00:00:19,813 --> 00:00:22,813 Speaker 2: amazing to consider the ways in which one streaming service 6 00:00:22,893 --> 00:00:26,013 Speaker 2: is going to be applying artificial intelligence to its products. 7 00:00:26,013 --> 00:00:29,053 Speaker 2: Our tech expert Paul Stenhouse is here with the details. 8 00:00:29,053 --> 00:00:31,333 Speaker 3: What's it going to mean, Paul, Yeah, I think you 9 00:00:31,373 --> 00:00:34,173 Speaker 3: need to be watching Jack very closely because your job 10 00:00:34,213 --> 00:00:37,533 Speaker 3: could be in jeopardy here based on some of these advancements. 11 00:00:37,613 --> 00:00:41,053 Speaker 3: Let me tell you so, there's an Olympic broadcaster who's 12 00:00:41,093 --> 00:00:44,293 Speaker 3: worked over here for both the ABC and NBC, considered 13 00:00:44,293 --> 00:00:47,213 Speaker 3: one of the great voices of the Olympics, and they 14 00:00:47,213 --> 00:00:52,773 Speaker 3: have managed to computer generate his voice and he will 15 00:00:52,813 --> 00:00:56,973 Speaker 3: be narrating, right personalized for you a show called Your 16 00:00:57,093 --> 00:01:00,253 Speaker 3: Daily Olympic Recap, which will be on the big streaming 17 00:01:00,253 --> 00:01:02,573 Speaker 3: service in the US called Peacock, which has the rights 18 00:01:02,613 --> 00:01:05,133 Speaker 3: to the Olympics during the course of the games. And 19 00:01:05,213 --> 00:01:07,853 Speaker 3: I'm bringing you all all of the big highlights. Well 20 00:01:08,013 --> 00:01:10,733 Speaker 3: he's not, I say you the folks in America bringing 21 00:01:10,773 --> 00:01:13,653 Speaker 3: all of the big highlights and it will be personalized. 22 00:01:13,693 --> 00:01:15,773 Speaker 3: So if you say that you really like rowing where 23 00:01:15,773 --> 00:01:19,453 Speaker 3: I really like I don't know, archery, you'll be getting 24 00:01:19,453 --> 00:01:22,373 Speaker 3: more of that in your personalized feed. And they don't 25 00:01:22,373 --> 00:01:26,333 Speaker 3: even need to have a human behind the microphone because 26 00:01:27,093 --> 00:01:29,813 Speaker 3: they can do all of it with this computer generated 27 00:01:29,893 --> 00:01:33,133 Speaker 3: voice of a bit of a legend. That's amazing scary 28 00:01:33,253 --> 00:01:35,573 Speaker 3: huh yeah, yeah, can I can I go one step 29 00:01:35,613 --> 00:01:38,533 Speaker 3: further of vis factor? They didn't even have to put 30 00:01:38,573 --> 00:01:42,213 Speaker 3: them back behind the microphone to create this voice. So 31 00:01:42,333 --> 00:01:44,973 Speaker 3: what they did is they grabbed all of his broadcasts 32 00:01:45,013 --> 00:01:48,373 Speaker 3: from back in the day, train the AI on that 33 00:01:49,013 --> 00:01:52,493 Speaker 3: and then have effectively unleashed it. Now good news, he 34 00:01:52,613 --> 00:01:54,973 Speaker 3: is being compensated, so maybe there's some hope for your 35 00:01:54,973 --> 00:01:56,133 Speaker 3: future check tame. 36 00:01:56,413 --> 00:01:59,253 Speaker 2: Yeah, I don't know. I mean I feel sort of 37 00:01:59,293 --> 00:02:02,653 Speaker 2: mixed on this, like I can really see some upsides 38 00:02:02,693 --> 00:02:04,973 Speaker 2: to it, and of course you know, some downsides as well, 39 00:02:05,013 --> 00:02:06,973 Speaker 2: But yeah, I don't know. It sounds like a sounds 40 00:02:07,013 --> 00:02:10,253 Speaker 2: like kind of a novel use of AI, and from 41 00:02:10,293 --> 00:02:12,653 Speaker 2: a consumer perspective, it sounds odd. Dare want to say, 42 00:02:12,693 --> 00:02:13,173 Speaker 2: kind of good. 43 00:02:14,733 --> 00:02:17,573 Speaker 3: It's an interesting use case for it, right, Yeah, you're 44 00:02:17,573 --> 00:02:19,333 Speaker 3: going to get to see the things that matter to you, 45 00:02:19,373 --> 00:02:21,093 Speaker 3: but you're also going to get it in a way 46 00:02:21,133 --> 00:02:23,093 Speaker 3: that is going to feel familiar. Long what if you 47 00:02:23,133 --> 00:02:26,173 Speaker 3: were just watching it on TV? Yeah, so terribly interesting. 48 00:02:26,213 --> 00:02:28,413 Speaker 3: I'm interested to see what other voices maybe come back 49 00:02:28,413 --> 00:02:29,053 Speaker 3: from the past. 50 00:02:29,573 --> 00:02:32,693 Speaker 2: Right, So remember they did it with Anthony Bourdain. That 51 00:02:32,813 --> 00:02:34,973 Speaker 2: was a bit creepy and that was very controversial when 52 00:02:35,013 --> 00:02:36,653 Speaker 2: they did it. But yeah, you're right, you can bring 53 00:02:36,693 --> 00:02:39,333 Speaker 2: back all sorts of voices with AI. Now, given the 54 00:02:39,373 --> 00:02:42,253 Speaker 2: state of the technology, Hey, i am Microsoft is facing 55 00:02:42,253 --> 00:02:44,933 Speaker 2: a multi billion dollar fine in the EU. What's happening? 56 00:02:46,013 --> 00:02:49,733 Speaker 3: Yeah, so the European Commission has sided with Slack basically 57 00:02:49,773 --> 00:02:53,813 Speaker 3: to say that when Microsoft put teams in with their 58 00:02:53,893 --> 00:02:57,413 Speaker 3: Office bundle that that was anti competitive. Slack went to 59 00:02:57,453 --> 00:02:59,813 Speaker 3: them and said, hey, we've got a collaboration platform at 60 00:02:59,813 --> 00:03:02,413 Speaker 3: the time that was really about instant messaging, and they said, 61 00:03:02,413 --> 00:03:04,453 Speaker 3: how do we compete with this? You know people are 62 00:03:04,493 --> 00:03:07,973 Speaker 3: getting this for free, We're trying to basically charge people 63 00:03:08,013 --> 00:03:10,973 Speaker 3: for bucks a month per user. And they have sided 64 00:03:11,013 --> 00:03:14,933 Speaker 3: with them and said that Microsoft was forcing office customers 65 00:03:14,933 --> 00:03:17,733 Speaker 3: to acquire teams. Right, it also does not help And 66 00:03:17,773 --> 00:03:21,733 Speaker 3: the Commission said this too, that teams isn't really operable 67 00:03:21,773 --> 00:03:24,373 Speaker 3: with any other competitors. So it may have looked at 68 00:03:24,413 --> 00:03:27,213 Speaker 3: it a little more favorably if say it integrated with 69 00:03:27,293 --> 00:03:31,413 Speaker 3: Slack or you could easily have Slacked teams type conversations 70 00:03:31,413 --> 00:03:33,293 Speaker 3: and maybe it was a little more of an open 71 00:03:33,333 --> 00:03:36,413 Speaker 3: standard or open platform. But they said no, and so 72 00:03:36,653 --> 00:03:38,733 Speaker 3: they could be fined up to ten percent of their 73 00:03:38,733 --> 00:03:43,253 Speaker 3: global revenue, which puts the fine if they go through 74 00:03:43,293 --> 00:03:46,933 Speaker 3: with it, up to twenty one billion US dollars, which 75 00:03:47,013 --> 00:03:49,773 Speaker 3: is no small sneeze. And it's not the only time 76 00:03:49,813 --> 00:03:53,293 Speaker 3: actually this week, Jack, that the EU regulators have cracked down. 77 00:03:54,053 --> 00:03:58,093 Speaker 3: They've accused Apple two of breaking some of its digital 78 00:03:58,173 --> 00:04:02,173 Speaker 3: competition rules under the recently past Digital Markets Act, which 79 00:04:02,293 --> 00:04:06,573 Speaker 3: basically is trying to allow startups and small companies to 80 00:04:06,693 --> 00:04:09,253 Speaker 3: actually have a shot at competing against some of these 81 00:04:09,693 --> 00:04:12,293 Speaker 3: big giants. And this is all to do with how 82 00:04:12,373 --> 00:04:14,693 Speaker 3: you basically pay for apps on the app store. So 83 00:04:14,733 --> 00:04:17,653 Speaker 3: Apple has also been slapped on the rest. It's going 84 00:04:17,733 --> 00:04:20,693 Speaker 3: to be fascinating to see how much they actually try 85 00:04:20,693 --> 00:04:22,973 Speaker 3: to crack down on this, because they really have been 86 00:04:23,053 --> 00:04:27,413 Speaker 3: leading in many ways some of this tech regulation globally. 87 00:04:27,573 --> 00:04:30,493 Speaker 2: Yeah, that's fascinating. Thanks Paul, appreciate it. As always, that 88 00:04:30,613 --> 00:04:32,693 Speaker 2: is our texpert, Paul Stenhouse. 89 00:04:33,333 --> 00:04:36,453 Speaker 1: For more from Saturday Morning with Jack Tame, listen live 90 00:04:36,533 --> 00:04:39,733 Speaker 1: to Newstalks ed B from nine am Saturday, or follow 91 00:04:39,773 --> 00:04:41,333 Speaker 1: the podcast on iHeartRadio