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 00:00:12,733 --> 00:00:15,173 Speaker 2: It's time to catch up with our tech spert, who 4 00:00:15,213 --> 00:00:18,333 Speaker 2: is counting down the days to Apple's big software development 5 00:00:18,453 --> 00:00:21,893 Speaker 2: conference or develop or conference this week. What are they 6 00:00:21,933 --> 00:00:22,613 Speaker 2: going to be announcing? 7 00:00:22,653 --> 00:00:22,893 Speaker 1: Paul? 8 00:00:24,053 --> 00:00:24,613 Speaker 3: Well, can you? 9 00:00:24,773 --> 00:00:29,173 Speaker 2: Can you guess Jack AI AI? Paul AI? 10 00:00:29,773 --> 00:00:34,133 Speaker 3: Yeah, surprise, No, It's actually really interesting because Apple has 11 00:00:34,213 --> 00:00:36,493 Speaker 3: not been a first mover in this space. I think 12 00:00:37,013 --> 00:00:40,253 Speaker 3: what we're going to see from Apple is how you 13 00:00:40,293 --> 00:00:43,733 Speaker 3: can apply AI to actually be useful to your day 14 00:00:43,773 --> 00:00:45,853 Speaker 3: to day life. Right, So they're not going to do 15 00:00:45,893 --> 00:00:48,333 Speaker 3: anything crazy. The expectation isn't. They're not going to do 16 00:00:48,373 --> 00:00:51,013 Speaker 3: anything around image and video generation, leave that to the 17 00:00:51,013 --> 00:00:54,013 Speaker 3: folks of like Adobe. Right. What they're going to do 18 00:00:54,173 --> 00:00:57,013 Speaker 3: is they are going to probably play more of a 19 00:00:57,133 --> 00:01:00,813 Speaker 3: virtual assistant, a digital assistant for your life, right, think 20 00:01:00,853 --> 00:01:05,173 Speaker 3: about some arising information, think about doing tasks for you. So, 21 00:01:05,253 --> 00:01:07,933 Speaker 3: for example, this that they're going to be upgrading the 22 00:01:07,973 --> 00:01:10,413 Speaker 3: mail app on your iPhone for example, to start to 23 00:01:10,773 --> 00:01:13,613 Speaker 3: you know, help sort your emails into maybe slightly smarter 24 00:01:13,733 --> 00:01:18,613 Speaker 3: categories to help you prioritize. There's talk of a summary 25 00:01:18,933 --> 00:01:20,893 Speaker 3: of all the things that might have happened on your 26 00:01:20,933 --> 00:01:25,813 Speaker 3: phone since you last looked at it. That sounds quite valuable. 27 00:01:26,453 --> 00:01:28,173 Speaker 3: You can put it in your phone away and you 28 00:01:28,213 --> 00:01:30,613 Speaker 3: can just get a nice little summary of mails or 29 00:01:30,653 --> 00:01:33,333 Speaker 3: the text messages that want all of your attention. See, 30 00:01:33,493 --> 00:01:35,533 Speaker 3: that's the type of stuff I think to be quite interesting. 31 00:01:35,693 --> 00:01:40,013 Speaker 3: They're talking about as well, making Siri smarter, and she's 32 00:01:40,053 --> 00:01:42,613 Speaker 3: going to be able to do things like kind of 33 00:01:42,613 --> 00:01:46,373 Speaker 3: at the application level, so potentially reply to specific emails, 34 00:01:46,373 --> 00:01:49,773 Speaker 3: delete specific emails, maybe edit photos, or even do things 35 00:01:49,813 --> 00:01:52,653 Speaker 3: like summarize a news article. But can I just say 36 00:01:52,693 --> 00:01:58,613 Speaker 3: one thing, Jack Apple, the kings of marketing, right, they 37 00:01:58,733 --> 00:02:04,853 Speaker 3: are going to rebrand AI as Apple Intelligence, which I 38 00:02:04,893 --> 00:02:09,893 Speaker 3: saw that and I just thought that is genius. You 39 00:02:09,973 --> 00:02:11,773 Speaker 3: know how much they paid, but it was worth every 40 00:02:11,813 --> 00:02:12,413 Speaker 3: single season. 41 00:02:12,493 --> 00:02:15,773 Speaker 2: It is very interesting because there's, I mean, there's the 42 00:02:16,413 --> 00:02:19,373 Speaker 2: hype around AI at the moment is absolutely bananas. But 43 00:02:19,693 --> 00:02:22,173 Speaker 2: like you say, you like you say, Apple hasn't really 44 00:02:22,213 --> 00:02:25,333 Speaker 2: been a fast mover relative to other companies likes of Microsoft. 45 00:02:25,653 --> 00:02:28,933 Speaker 2: Open AI obviously kind of dominating the AI space at 46 00:02:28,933 --> 00:02:31,933 Speaker 2: the moment, and very interesting this week in video, which 47 00:02:31,973 --> 00:02:36,693 Speaker 2: is the silicon chip maker that started making chips for 48 00:02:37,013 --> 00:02:40,733 Speaker 2: use in computer games, has now overtaken Apple as the 49 00:02:40,813 --> 00:02:44,293 Speaker 2: second most valuable publicly listed company in the world by 50 00:02:45,573 --> 00:02:49,493 Speaker 2: capital valuation, So three trillion US dollars market cap, which 51 00:02:49,533 --> 00:02:52,933 Speaker 2: is just crazy. So are you expecting as well as 52 00:02:52,933 --> 00:02:57,213 Speaker 2: that AI Apple Intelligence announcements this week? Are you expecting 53 00:02:57,293 --> 00:03:00,973 Speaker 2: anything in terms of a universal operating software across Apple 54 00:03:01,013 --> 00:03:03,013 Speaker 2: devices or are we still away way away from that. 55 00:03:04,133 --> 00:03:06,213 Speaker 3: I'm hoping so there hasn't been an indication that the 56 00:03:06,413 --> 00:03:11,053 Speaker 3: it's coming yet. Look, can I just go back to 57 00:03:11,093 --> 00:03:13,013 Speaker 3: one thing you mentioned about Apple and AI. I think 58 00:03:13,013 --> 00:03:15,893 Speaker 3: it's really fascinating is that Apple has been a company 59 00:03:16,013 --> 00:03:19,413 Speaker 3: that has talked a lot about security, and they've actually 60 00:03:19,613 --> 00:03:22,653 Speaker 3: kind of said made part of their marketing that they're 61 00:03:22,693 --> 00:03:25,013 Speaker 3: different to Google, they're different to Meta because they keep 62 00:03:25,013 --> 00:03:27,853 Speaker 3: all your device, all your information on the device. I'm 63 00:03:27,893 --> 00:03:30,013 Speaker 3: really interested to see if they're going to do if 64 00:03:30,053 --> 00:03:31,573 Speaker 3: they're going to move away from that and move to 65 00:03:31,613 --> 00:03:35,133 Speaker 3: the cloud and tap into some of the processing that 66 00:03:35,173 --> 00:03:36,573 Speaker 3: they can do there, or if they're going to do 67 00:03:36,573 --> 00:03:38,733 Speaker 3: a lot of that on the device, because that's the 68 00:03:38,733 --> 00:03:41,853 Speaker 3: piece you mentioned, right, the universal operating system, that's Apple 69 00:03:41,893 --> 00:03:43,813 Speaker 3: sweet spot. They can do both. They can do the 70 00:03:43,853 --> 00:03:46,653 Speaker 3: hardware and they can do the software. And I think 71 00:03:46,733 --> 00:03:48,653 Speaker 3: what we're starting to see and one of the things 72 00:03:48,653 --> 00:03:51,453 Speaker 3: that they are talking about launching outside of AI at 73 00:03:51,453 --> 00:03:54,573 Speaker 3: this is actually taking some of the features that are 74 00:03:54,613 --> 00:03:58,653 Speaker 3: available on mac os, on iPad and on your iPhone, 75 00:03:59,413 --> 00:04:02,173 Speaker 3: such as the keychain, which is effectively a password manager 76 00:04:02,493 --> 00:04:04,453 Speaker 3: hidden in your settings. And what they're going to do 77 00:04:04,493 --> 00:04:06,293 Speaker 3: is they're going to pull that out of the settings 78 00:04:06,533 --> 00:04:08,533 Speaker 3: and they're going to make that an application that works 79 00:04:08,573 --> 00:04:12,453 Speaker 3: across all of those different devices. So that may actually 80 00:04:12,453 --> 00:04:14,933 Speaker 3: be their strategy and the shorter term, which is, hey, 81 00:04:14,973 --> 00:04:18,653 Speaker 3: we know that things now can play across universally, but 82 00:04:18,733 --> 00:04:21,453 Speaker 3: we're still recognizing that they are different, but we are 83 00:04:21,533 --> 00:04:24,973 Speaker 3: going to allow you to use the same applications across 84 00:04:25,013 --> 00:04:29,573 Speaker 3: more across more devices. Because remember too, they've also got 85 00:04:29,573 --> 00:04:32,373 Speaker 3: their vision pro headset. That will be interesting to see too. 86 00:04:32,813 --> 00:04:34,693 Speaker 3: How much they play into that. They're kind of caught 87 00:04:34,733 --> 00:04:37,413 Speaker 3: between two different hype machines in some way, right, Yeah, 88 00:04:37,573 --> 00:04:40,453 Speaker 3: between the AI hype machine and the court between the 89 00:04:40,533 --> 00:04:44,493 Speaker 3: spatial computing hype machine. So how long they spend kemos 90 00:04:44,533 --> 00:04:47,213 Speaker 3: typically ninety minutes to it. Yeah, yeah, sorry, ninety minutes 91 00:04:47,213 --> 00:04:50,213 Speaker 3: to two hours. How much time they spend talking about egos, 92 00:04:50,333 --> 00:04:52,093 Speaker 3: I'm sure is going to be on the minds of 93 00:04:52,133 --> 00:04:53,493 Speaker 3: many watery analysts. 94 00:04:53,573 --> 00:04:55,613 Speaker 2: Oh very good, can't waite. Thank you, Paul. That is 95 00:04:55,613 --> 00:04:57,493 Speaker 2: our texpert Paul Stenhausk. 96 00:04:58,173 --> 00:05:01,293 Speaker 1: For more from Saturday Morning with Jack Tame, Listen live 97 00:05:01,373 --> 00:05:04,573 Speaker 1: to News Talks' B from nine am Saturday, or follow 98 00:05:04,613 --> 00:05:06,173 Speaker 1: the podcast on iHeartRadio.