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 --> 00:00:11,733 Speaker 1: from News Talks at B. 3 00:00:12,813 --> 00:00:16,373 Speaker 2: Apps are coming to chat GPT. I know that seems 4 00:00:16,413 --> 00:00:18,893 Speaker 2: confusing because if you're like me, you might have chat 5 00:00:18,933 --> 00:00:21,853 Speaker 2: GPT as an app. But basically they're turning from chat 6 00:00:21,933 --> 00:00:26,253 Speaker 2: gpt just being a tool into a platform. I know 7 00:00:26,333 --> 00:00:28,693 Speaker 2: this is all kind of jargony stuff. That's why our 8 00:00:28,733 --> 00:00:32,813 Speaker 2: Textbert paulstine House is here to explain exactly what this means. 9 00:00:32,813 --> 00:00:34,333 Speaker 2: In Paul, this is a big change. 10 00:00:35,533 --> 00:00:38,293 Speaker 3: Yeah, this is a big change because it is showing 11 00:00:38,333 --> 00:00:41,453 Speaker 3: that chat GPT is trying to be so much more right. 12 00:00:41,493 --> 00:00:44,293 Speaker 3: It is trying to be a platform. It is trying 13 00:00:44,333 --> 00:00:47,213 Speaker 3: to be an experienced I don't know how else to 14 00:00:47,253 --> 00:00:49,373 Speaker 3: describe it, Jack, but it wants to be the thing 15 00:00:49,813 --> 00:00:51,773 Speaker 3: that you use to do everything. 16 00:00:51,893 --> 00:00:54,373 Speaker 2: Yes, basically, I think that's the way to talk about it. 17 00:00:53,933 --> 00:00:56,733 Speaker 2: It's going to be it's like the portal through which 18 00:00:56,773 --> 00:00:59,453 Speaker 2: you access the rest of the Internet. Think about it 19 00:00:59,493 --> 00:00:59,693 Speaker 2: like that. 20 00:00:59,853 --> 00:01:03,573 Speaker 3: Yeah, and exactly. So we started out with directories like 21 00:01:03,693 --> 00:01:07,213 Speaker 3: Yahoo those yeah, where you like literally was like the 22 00:01:07,253 --> 00:01:09,933 Speaker 3: Yellow Pages, and then we went into search with Google. 23 00:01:09,973 --> 00:01:12,933 Speaker 3: That was pretty cool, and now this is sort of Yeah, 24 00:01:12,973 --> 00:01:15,653 Speaker 3: the next big leap where it all gets merged together. 25 00:01:15,813 --> 00:01:18,533 Speaker 3: So you can imagine a time when put on your 26 00:01:18,653 --> 00:01:21,733 Speaker 3: put on your imagination for a second. You're looking for 27 00:01:21,773 --> 00:01:25,293 Speaker 3: a playlist, right, so instead of just chat GPT giving 28 00:01:25,333 --> 00:01:27,573 Speaker 3: you a random list of songs and then you have 29 00:01:27,613 --> 00:01:29,893 Speaker 3: to go into your app and find them all. If 30 00:01:29,893 --> 00:01:32,893 Speaker 3: it's got these apps inside of chat GPT, you can 31 00:01:33,053 --> 00:01:36,413 Speaker 3: ask Spotify, say, to create you a playlist for you 32 00:01:36,533 --> 00:01:39,653 Speaker 3: that's good for a run. Or you can say, I'm 33 00:01:39,693 --> 00:01:42,733 Speaker 3: going to Paris booking dot com app and I want 34 00:01:42,813 --> 00:01:44,573 Speaker 3: you to give me some results, and I only want 35 00:01:44,613 --> 00:01:46,293 Speaker 3: to spend this much, and I want the hotel to 36 00:01:46,333 --> 00:01:50,133 Speaker 3: be here in the city and blah blah blah blah blah. Basically, 37 00:01:50,293 --> 00:01:54,413 Speaker 3: you can use it to browse the internet and do 38 00:01:54,613 --> 00:01:57,853 Speaker 3: things for you. Yeah, now, of course browse the internet 39 00:01:57,893 --> 00:02:00,573 Speaker 3: not wide out. I mean it can browsey open, browse 40 00:02:00,613 --> 00:02:03,293 Speaker 3: the internet like that. But these specialist apps will mean 41 00:02:03,333 --> 00:02:07,293 Speaker 3: you can do specialist things. Worth pointing out that there 42 00:02:07,293 --> 00:02:09,853 Speaker 3: are only limited ones at the moment that are being 43 00:02:10,013 --> 00:02:12,653 Speaker 3: in this sort of launch phase. They say more of 44 00:02:12,693 --> 00:02:16,093 Speaker 3: them are coming later this year, including in the US. 45 00:02:16,173 --> 00:02:20,053 Speaker 3: The big retailer Target is also a restaurant booking app 46 00:02:20,093 --> 00:02:22,693 Speaker 3: over here called open Table, So you can be finding 47 00:02:22,773 --> 00:02:24,493 Speaker 3: a restaurant for Jack and if you go for dinner, 48 00:02:24,493 --> 00:02:27,213 Speaker 3: be great, wouldn't it. And Uber so you could even 49 00:02:27,213 --> 00:02:29,253 Speaker 3: say like hey, you know, if it's Uber Eats or something, 50 00:02:29,293 --> 00:02:32,613 Speaker 3: you're like, hey, I want Indian tonight, like find me 51 00:02:32,613 --> 00:02:34,173 Speaker 3: the best Indian around, and it would do it. 52 00:02:34,653 --> 00:02:37,373 Speaker 2: I mean, so it seems to me, be your personal assistant, 53 00:02:37,413 --> 00:02:38,893 Speaker 2: that this is going to be Yes, it seems to 54 00:02:38,973 --> 00:02:42,293 Speaker 2: me like that there's a couple of really important dimensions here. 55 00:02:42,373 --> 00:02:45,493 Speaker 2: First of all, from a user experience, I can see 56 00:02:45,493 --> 00:02:49,693 Speaker 2: how this would be extremely convenient, right, Like if you 57 00:02:49,813 --> 00:02:52,493 Speaker 2: said that to use your holiday example, I'm want to 58 00:02:52,493 --> 00:02:54,253 Speaker 2: go on holiday here, I only want to spend this 59 00:02:54,333 --> 00:02:57,693 Speaker 2: March and like make me an itinery and you say yes, 60 00:02:57,733 --> 00:03:00,373 Speaker 2: I like that Booker and it does it. I can 61 00:03:00,373 --> 00:03:04,933 Speaker 2: see how that's extremely convenient. Presumably, the trade off is 62 00:03:04,973 --> 00:03:08,653 Speaker 2: that you have to that your data is being shared 63 00:03:08,693 --> 00:03:11,213 Speaker 2: with these big other companies as well. So if it's 64 00:03:11,213 --> 00:03:14,573 Speaker 2: Booking dot Com that is integrated into chat GPT, then 65 00:03:14,693 --> 00:03:17,773 Speaker 2: all of Paul Stenhouse's preferences are being feed into Booking 66 00:03:17,773 --> 00:03:19,773 Speaker 2: dot Com, so that Booking dot Com then knows it 67 00:03:19,773 --> 00:03:28,613 Speaker 2: about you as well, and then conspiracy to you. How 68 00:03:28,653 --> 00:03:30,973 Speaker 2: do we know that If you say to chat GPT, 69 00:03:31,533 --> 00:03:33,693 Speaker 2: what is the best way to book a trip? Then 70 00:03:33,693 --> 00:03:35,373 Speaker 2: instead of just giving you the best way to book 71 00:03:35,373 --> 00:03:38,453 Speaker 2: a trip based on your preferences, it doesn't immediately say why, Paul, 72 00:03:38,533 --> 00:03:43,693 Speaker 2: you should use booking dot com. 73 00:03:41,813 --> 00:03:44,613 Speaker 3: Exactly and you know what ads are coming to yeh 74 00:03:44,693 --> 00:03:47,573 Speaker 3: GPT right right by figuring out how that's going to be. 75 00:03:47,613 --> 00:03:49,693 Speaker 3: And that's I mean, that's the Google Search model we 76 00:03:49,773 --> 00:03:52,133 Speaker 3: started out by. Just you know, you think, go back 77 00:03:52,133 --> 00:03:54,373 Speaker 3: to those examples they gave. You have a directory, you 78 00:03:54,413 --> 00:03:56,093 Speaker 3: want to be the promoted one in the directory, you 79 00:03:56,133 --> 00:03:59,093 Speaker 3: pay a bit more on your top Google search exactly 80 00:03:59,093 --> 00:04:01,053 Speaker 3: the same. You want to get the keyword, you get 81 00:04:01,093 --> 00:04:03,093 Speaker 3: to the top. I can imagine it's going to be 82 00:04:03,133 --> 00:04:05,533 Speaker 3: exactly the same. Now you do have to invoke this thing, 83 00:04:05,613 --> 00:04:08,133 Speaker 3: so you have to see, hey Booking dot com do 84 00:04:08,253 --> 00:04:10,893 Speaker 3: this thing, or hey Expedia do this thing. And if 85 00:04:10,893 --> 00:04:12,693 Speaker 3: you look at their launch partners, they have got a 86 00:04:12,693 --> 00:04:16,613 Speaker 3: couple of them. It will be interesting to your original 87 00:04:16,613 --> 00:04:19,213 Speaker 3: point of how much data does get sent, whether it's 88 00:04:19,333 --> 00:04:21,813 Speaker 3: just the data in that chat that you were having 89 00:04:21,813 --> 00:04:26,413 Speaker 3: at that time and when you invoke Booking dot Com, say, 90 00:04:26,533 --> 00:04:30,133 Speaker 3: but they also have just integrated the ability to pay 91 00:04:30,293 --> 00:04:33,013 Speaker 3: as well with them chat GPT, So you could go 92 00:04:33,053 --> 00:04:37,133 Speaker 3: through the whole experience, say using Booking dot Com, and 93 00:04:37,173 --> 00:04:39,413 Speaker 3: you've never gone through Booking dot com website, You've never 94 00:04:39,453 --> 00:04:42,293 Speaker 3: done anything on your phone. You have searched for it all, 95 00:04:42,453 --> 00:04:46,053 Speaker 3: you've browsed it, or you've selected your hotel, you pay 96 00:04:46,133 --> 00:04:48,453 Speaker 3: for it everything. The only thing you're getting probably is 97 00:04:48,493 --> 00:04:50,133 Speaker 3: your ow itinerary email to you, and that's the only 98 00:04:50,173 --> 00:04:52,813 Speaker 3: interaction you really have with them outside of chat gpt. 99 00:04:53,253 --> 00:04:57,053 Speaker 3: Kutty crazy, but it's interesting, it's interesting looking to it. 100 00:04:57,093 --> 00:04:59,053 Speaker 3: But the types of companies that they've done for these 101 00:04:59,093 --> 00:05:01,773 Speaker 3: launch partners, a lot of travel in there, and a 102 00:05:01,773 --> 00:05:04,253 Speaker 3: lot of personal assistant type things like a lot of food, 103 00:05:04,293 --> 00:05:07,373 Speaker 3: a lot of reservations, a lot of you that type 104 00:05:07,373 --> 00:05:09,173 Speaker 3: of stuff, that kind of personal assistant type. 105 00:05:09,293 --> 00:05:09,493 Speaker 1: Yeah. 106 00:05:09,573 --> 00:05:12,533 Speaker 2: Right, I read one other crazy little fact with chat 107 00:05:12,573 --> 00:05:15,133 Speaker 2: gpt this week. So at the moment, the company says 108 00:05:15,173 --> 00:05:17,933 Speaker 2: that it's being held back from expanding as quickly as 109 00:05:17,933 --> 00:05:22,333 Speaker 2: it wants because it simply can't get enough computing power. Right, 110 00:05:22,413 --> 00:05:24,853 Speaker 2: So it's got lots of ideas for different ways to 111 00:05:24,973 --> 00:05:27,453 Speaker 2: use their technology and to integrate it into different things 112 00:05:27,453 --> 00:05:29,853 Speaker 2: and to launch different products. But they just can't get 113 00:05:29,933 --> 00:05:34,773 Speaker 2: enough computing technology and computing grunt. So they are doing 114 00:05:34,773 --> 00:05:39,093 Speaker 2: this massive expansion. They're spending a trillion dollars, that's right, 115 00:05:39,173 --> 00:05:43,293 Speaker 2: a trillion dollars, one thousand billion US dollars and building 116 00:05:43,373 --> 00:05:46,413 Speaker 2: all of these data centers and buying these incredible computing chips. 117 00:05:46,613 --> 00:05:50,293 Speaker 2: But someone did the maths right on how much electricity 118 00:05:50,333 --> 00:05:53,533 Speaker 2: you would need in order to power all of the 119 00:05:53,853 --> 00:05:56,733 Speaker 2: different data centers that they're going to purchase with one 120 00:05:56,813 --> 00:06:01,533 Speaker 2: trillion dollars. Apparently, just to keep the lights on and 121 00:06:01,573 --> 00:06:05,173 Speaker 2: to power the computers, they're going to need at least 122 00:06:05,253 --> 00:06:11,293 Speaker 2: eight nuclear actors. Like it is just crazy how hungry 123 00:06:11,333 --> 00:06:13,333 Speaker 2: these things are. So yeah, it is going to be Hey, 124 00:06:13,333 --> 00:06:14,813 Speaker 2: do you want to know something else interesting? Yeah? 125 00:06:14,853 --> 00:06:17,693 Speaker 3: Please? They can they can move markets. So they announced 126 00:06:17,693 --> 00:06:19,133 Speaker 3: this week that they were going to be looking at 127 00:06:19,173 --> 00:06:21,773 Speaker 3: potentially buying AMD or. There was some speculation I. 128 00:06:21,693 --> 00:06:23,373 Speaker 2: Think they're going to be buying AIM which is which 129 00:06:23,413 --> 00:06:24,493 Speaker 2: is a chip manufacturer. 130 00:06:24,573 --> 00:06:28,853 Speaker 3: Yeah, yeah, yeah, And stock went up instantly thirty eight 131 00:06:28,853 --> 00:06:32,333 Speaker 3: percent that day, Yeah, thirty eight percent that's amazing because 132 00:06:32,373 --> 00:06:33,653 Speaker 3: of the potential of a deal. 133 00:06:33,853 --> 00:06:34,693 Speaker 2: Yeah, incredible. 134 00:06:34,733 --> 00:06:34,893 Speaker 1: Wow. 135 00:06:34,973 --> 00:06:37,093 Speaker 2: Hey, thank you so much, Paul. You take care. Watch 136 00:06:37,093 --> 00:06:39,733 Speaker 2: the space keenly as we always do. That's paused in 137 00:06:39,773 --> 00:06:42,373 Speaker 2: house our text, but spelling it out in simple terms 138 00:06:42,373 --> 00:06:45,093 Speaker 2: for us this morning, which we always appreciate. On the show. 139 00:06:46,013 --> 00:06:49,093 Speaker 1: For more from Saturday Morning with Jack Tame, listen live 140 00:06:49,213 --> 00:06:52,013 Speaker 1: to news talks he'd be from nine am Saturday, or 141 00:06:52,093 --> 00:06:53,933 Speaker 1: follow the podcast on iHeartRadio.