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 00:00:12,853 --> 00:00:18,013 Speaker 2: June twenty twenty four, that is when Apple initially launched AI, 4 00:00:18,413 --> 00:00:21,613 Speaker 2: its version of AI, or as they called it, Apple Intelligence, 5 00:00:21,653 --> 00:00:26,133 Speaker 2: Get it AI, Apple Intelligence. It's fair to say that 6 00:00:26,253 --> 00:00:30,773 Speaker 2: since Apple Intelligence was launched, many Apple users and people 7 00:00:30,813 --> 00:00:33,973 Speaker 2: in the Apple sphere have been pretty underwhelmed with what 8 00:00:34,013 --> 00:00:37,853 Speaker 2: Apple Intelligence has actually provided our textbook. Paul Steadhouse is 9 00:00:37,893 --> 00:00:40,333 Speaker 2: here with details this morning on what was supposed to 10 00:00:40,333 --> 00:00:44,293 Speaker 2: be the centerpiece of Apple Intelligence, a smart serie, a 11 00:00:44,373 --> 00:00:46,053 Speaker 2: smart personal assistance. 12 00:00:47,613 --> 00:00:51,093 Speaker 3: Yeah, June twenty twenty four. It's it's quite a long 13 00:00:51,093 --> 00:00:53,693 Speaker 3: time ago, really, isn't it. Yeah? And I think it's 14 00:00:54,253 --> 00:00:57,333 Speaker 3: Apple is so good at keeping all of their secrets 15 00:00:57,333 --> 00:01:00,133 Speaker 3: and kind of inner politics and inner workings out of 16 00:01:00,173 --> 00:01:03,213 Speaker 3: the media and staying quite secret. And I think it 17 00:01:03,373 --> 00:01:06,573 Speaker 3: says a lot that it's leaking out to Bloomberg. Orter 18 00:01:06,613 --> 00:01:08,973 Speaker 3: at Bloomberg seems to have just a lot of these 19 00:01:08,973 --> 00:01:11,053 Speaker 3: scoops about just how dire it is. I mean, that's 20 00:01:11,053 --> 00:01:13,133 Speaker 3: why we're talking about it right. Bloomberg reported it out 21 00:01:13,613 --> 00:01:17,973 Speaker 3: and they're now saying they were targeting March internally to 22 00:01:18,053 --> 00:01:20,933 Speaker 3: be the launch of the new SII again was supposed 23 00:01:20,973 --> 00:01:23,533 Speaker 3: to be June twenty twenty four. They're now thinking they're 24 00:01:23,573 --> 00:01:26,413 Speaker 3: going to have to slow roll this even more so. 25 00:01:26,453 --> 00:01:30,213 Speaker 3: They're thinking that it may not start until May, and 26 00:01:30,253 --> 00:01:32,693 Speaker 3: even then may may just be a small taster of 27 00:01:32,733 --> 00:01:35,093 Speaker 3: what you get, and it may not be until iOS 28 00:01:35,173 --> 00:01:38,453 Speaker 3: twenty seven comes out in September that actually the things 29 00:01:38,453 --> 00:01:41,013 Speaker 3: that they talked about in June twenty twenty four will 30 00:01:41,053 --> 00:01:44,173 Speaker 3: actually be available, and thus saying that some of the 31 00:01:44,213 --> 00:01:48,133 Speaker 3: issues are apparently that Siri doesn't always process queries so 32 00:01:48,453 --> 00:01:52,053 Speaker 3: just stops or doesn't listen, or can just take way 33 00:01:52,093 --> 00:01:54,373 Speaker 3: too long. You know what Apple's like. Apple wants the 34 00:01:54,413 --> 00:01:57,733 Speaker 3: experience to be fantastic, so that may be why thus 35 00:01:57,733 --> 00:02:01,133 Speaker 3: slow rolling some of this. You know, I guess nothing 36 00:02:01,213 --> 00:02:03,893 Speaker 3: is better than an experience that's terrible. They probably learned 37 00:02:03,893 --> 00:02:07,093 Speaker 3: that from Apple Maps back a decade ago. Yeah, but 38 00:02:07,253 --> 00:02:09,373 Speaker 3: that you know that that thing they sold on stage, 39 00:02:09,413 --> 00:02:11,093 Speaker 3: I think you were really excited about, and I was 40 00:02:11,133 --> 00:02:13,453 Speaker 3: really excited about where Siri had access to your personal 41 00:02:13,533 --> 00:02:15,853 Speaker 3: data and you could say when's mum's flight getting in, 42 00:02:15,853 --> 00:02:17,733 Speaker 3: and Suri was smart enough to know who your mum is, 43 00:02:17,773 --> 00:02:18,933 Speaker 3: and that she was on a flight, and that she 44 00:02:18,973 --> 00:02:21,013 Speaker 3: sent you an email with the itinerary and could look 45 00:02:21,053 --> 00:02:25,413 Speaker 3: up the itinerary dreamland sounds incredible. Well, that part of 46 00:02:25,413 --> 00:02:30,853 Speaker 3: Apple intelligence that one's the most likely to slip, which 47 00:02:30,933 --> 00:02:33,053 Speaker 3: I guess is no surprise. Sad. 48 00:02:33,333 --> 00:02:37,693 Speaker 2: Yeah, it's frustrating. I mean, I it's remarkable to me 49 00:02:37,933 --> 00:02:40,973 Speaker 2: like that both how far we've come and how are 50 00:02:40,973 --> 00:02:42,933 Speaker 2: we still have to go. When you look at the 51 00:02:43,093 --> 00:02:47,653 Speaker 2: kind of consumer side artificial intelligence, right like they using 52 00:02:47,733 --> 00:02:50,133 Speaker 2: the you know, the likes of Chat, GBT and the 53 00:02:50,213 --> 00:02:53,453 Speaker 2: other large language models, whether it's Gemini or whatever else, 54 00:02:53,573 --> 00:02:56,733 Speaker 2: it can be an incredible experience. But then you worp 55 00:02:56,773 --> 00:03:00,413 Speaker 2: out your incredibly smart iPhone with more computer power, you know, 56 00:03:00,493 --> 00:03:03,853 Speaker 2: with more computing power than you know that than than 57 00:03:03,933 --> 00:03:06,533 Speaker 2: the space the spaceships that went to the moon in 58 00:03:06,573 --> 00:03:10,133 Speaker 2: the day, and yet it is incapable of doing the 59 00:03:10,213 --> 00:03:12,693 Speaker 2: most basic things. Sometimes it can just be so frustrated. 60 00:03:12,693 --> 00:03:15,973 Speaker 3: Well, but that's because and I think that plays into right, 61 00:03:16,093 --> 00:03:19,693 Speaker 3: this idea that you know, when you first ask one 62 00:03:19,733 --> 00:03:22,733 Speaker 3: of those lms to do something, especially something creative and 63 00:03:22,773 --> 00:03:25,373 Speaker 3: completely brand new, write me a poem about X, it's 64 00:03:25,413 --> 00:03:27,693 Speaker 3: incredible because you're like, oh, man, it pulled that out 65 00:03:27,693 --> 00:03:30,413 Speaker 3: of nowhere, and it did. I think the biggest thing 66 00:03:30,453 --> 00:03:32,533 Speaker 3: is when you're working with AI, when you start putting 67 00:03:32,613 --> 00:03:35,813 Speaker 3: real data that you actually know about and you know 68 00:03:35,893 --> 00:03:39,173 Speaker 3: the answers to into AI, is where I start to 69 00:03:39,213 --> 00:03:41,373 Speaker 3: see it really breaking down. And that when then you 70 00:03:41,413 --> 00:03:42,853 Speaker 3: start to go to the next layer, which is okay, 71 00:03:42,853 --> 00:03:44,853 Speaker 3: now you're going to look at my really personal information. 72 00:03:45,213 --> 00:03:47,213 Speaker 3: That's when it breaks down even further because does it 73 00:03:47,293 --> 00:03:49,213 Speaker 3: even know who your mum is? You may not even 74 00:03:49,253 --> 00:03:50,733 Speaker 3: be able to figure that out, you know, has it 75 00:03:50,853 --> 00:03:51,733 Speaker 3: got enough context? 76 00:03:51,853 --> 00:03:54,933 Speaker 2: Yeah, it's interesting. Speaking of AI, Anthropic, which was one 77 00:03:54,933 --> 00:03:57,973 Speaker 2: of the big AI giants, has raised a fresh round 78 00:03:58,013 --> 00:04:01,173 Speaker 2: of funding, which means its value has more than doubled 79 00:04:01,693 --> 00:04:02,493 Speaker 2: since September. 80 00:04:03,893 --> 00:04:08,013 Speaker 3: Yeah, so can you just just put the into perspective? Right? 81 00:04:08,213 --> 00:04:11,813 Speaker 3: Apple Intelligence was supposed to launch in June twenty twenty four, 82 00:04:12,213 --> 00:04:15,853 Speaker 3: and somehow Anthropic has managed to double the value of 83 00:04:15,893 --> 00:04:18,733 Speaker 3: its company multiple times over. Basically within that time, they 84 00:04:18,813 --> 00:04:23,133 Speaker 3: got an additional thirty billion dollars in cash, which takes 85 00:04:23,213 --> 00:04:27,813 Speaker 3: their post money valuation to three hundred and eighty billion dollars. 86 00:04:28,253 --> 00:04:32,213 Speaker 3: So it is the second largest private tech financing round. 87 00:04:32,333 --> 00:04:38,573 Speaker 3: Second only two. You guessed it. Open ai just staggering numbers. 88 00:04:38,653 --> 00:04:40,573 Speaker 3: And Jack, we talked a little bit about the AI 89 00:04:40,613 --> 00:04:43,933 Speaker 3: wars last week. When it comes to coding boy, the 90 00:04:44,253 --> 00:04:48,413 Speaker 3: AI war heaten up. It took to the super Bowl stage. 91 00:04:49,173 --> 00:04:51,613 Speaker 3: Anthropic behind Claude put out a Super Bowl ad and 92 00:04:51,653 --> 00:04:56,213 Speaker 3: they mocked Chat GPT for having ads, and then and 93 00:04:56,733 --> 00:04:59,053 Speaker 3: Chat GPT came back this week and said, well, you're 94 00:04:59,053 --> 00:05:01,893 Speaker 3: being elitist because open ai is used by more people 95 00:05:02,053 --> 00:05:06,013 Speaker 3: and the ads allow access to everyone. So it's heating up. 96 00:05:06,373 --> 00:05:07,293 Speaker 3: It's getting feisty. 97 00:05:07,533 --> 00:05:09,573 Speaker 2: Yeah, Yeah, it's gonna be fascinating to watch. Thanks Paul. 98 00:05:09,773 --> 00:05:12,533 Speaker 2: That's how Ticksbook Paul Steenhouse. 99 00:05:12,573 --> 00:05:15,693 Speaker 1: For more from Saturday Morning with Jack Tame. Listen live 100 00:05:15,773 --> 00:05:18,613 Speaker 1: to News Talks ed B from nine am Saturday, or 101 00:05:18,653 --> 00:05:20,573 Speaker 1: follow the podcast on iHeartRadio