1 00:00:02,720 --> 00:00:15,840 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:18,000 --> 00:00:21,480 Speaker 2: Hello and welcome to another episode of The Odd Lots podcast. 3 00:00:21,560 --> 00:00:22,960 Speaker 2: I'm Jolle Wisanal and. 4 00:00:22,920 --> 00:00:23,880 Speaker 3: I'm Tracy Alloway. 5 00:00:24,120 --> 00:00:27,360 Speaker 2: Tracy, do you know what iPhone you have and what 6 00:00:27,720 --> 00:00:28,920 Speaker 2: iOS you're currently on? 7 00:00:29,200 --> 00:00:31,680 Speaker 3: No, I have no idea. I will say I think 8 00:00:31,720 --> 00:00:35,199 Speaker 3: it might be like an iPhone eleven. It is definitely 9 00:00:35,240 --> 00:00:37,800 Speaker 3: on its last legs because in the past two days 10 00:00:37,880 --> 00:00:41,280 Speaker 3: I can only charge it when it's standing up and 11 00:00:41,360 --> 00:00:43,839 Speaker 3: plugged in like that, you know, And so I've been 12 00:00:43,840 --> 00:00:47,800 Speaker 3: creating elaborate like Jerry Riggs systems at my desk to 13 00:00:47,880 --> 00:00:49,760 Speaker 3: actually get this thing to charge. So I gotta get 14 00:00:49,760 --> 00:00:50,159 Speaker 3: a new one. 15 00:00:50,159 --> 00:00:51,440 Speaker 2: So, you know what, you don't have to get a 16 00:00:51,479 --> 00:00:53,440 Speaker 2: new one. If you go to like any one of 17 00:00:53,440 --> 00:00:56,640 Speaker 2: these like little random like sort of Apple fix it shops, 18 00:00:57,040 --> 00:00:58,840 Speaker 2: they can like take care of that in ten minutes. 19 00:00:58,960 --> 00:01:01,320 Speaker 3: And wait, I have the right to repair my iPhone? 20 00:01:01,440 --> 00:01:01,920 Speaker 3: Is that true? 21 00:01:02,000 --> 00:01:04,040 Speaker 2: They take put a little vacuum cleaner in there, that's 22 00:01:04,080 --> 00:01:05,400 Speaker 2: what you I don't. 23 00:01:05,240 --> 00:01:06,959 Speaker 3: Think that's it because I tried it already. I think 24 00:01:06,959 --> 00:01:09,959 Speaker 3: the batteries like legitimately dying. I've had it for like 25 00:01:10,000 --> 00:01:10,640 Speaker 3: eight years. 26 00:01:10,800 --> 00:01:13,400 Speaker 2: Well, I've had my Okay, so I think I have 27 00:01:13,480 --> 00:01:16,679 Speaker 2: no idea what what iPhone I'm on. I think I've 28 00:01:16,720 --> 00:01:19,399 Speaker 2: had it for about four years. I have no like, 29 00:01:19,959 --> 00:01:22,400 Speaker 2: I don't know anything. But there was a point in 30 00:01:22,440 --> 00:01:23,160 Speaker 2: my life in which I. 31 00:01:23,160 --> 00:01:25,160 Speaker 3: Could have answered, I said, you don't know anything. 32 00:01:25,440 --> 00:01:27,520 Speaker 2: I don't think about my phone. But there was a 33 00:01:27,560 --> 00:01:30,240 Speaker 2: point where I could have answered, right, like if you're like, yeah, sure, 34 00:01:30,400 --> 00:01:33,839 Speaker 2: if at some point in the early twenty tens, for sure, 35 00:01:34,319 --> 00:01:36,720 Speaker 2: if someone would say, like what app what iPhone do 36 00:01:36,760 --> 00:01:38,120 Speaker 2: you have, You're like, oh, I got the iPhone for 37 00:01:38,440 --> 00:01:42,039 Speaker 2: I got the iPhone whatever it is. And that was 38 00:01:42,120 --> 00:01:44,720 Speaker 2: just part of like I would say, pop culture, like 39 00:01:44,840 --> 00:01:47,600 Speaker 2: knowing like what generation is and it's been so long, 40 00:01:47,800 --> 00:01:51,280 Speaker 2: you know, those Apple presentations everybody would like tune in 41 00:01:51,360 --> 00:01:53,480 Speaker 2: like it's a World Cup game or something like that, 42 00:01:53,920 --> 00:01:57,640 Speaker 2: Like it's been so long since, like these were like 43 00:01:58,480 --> 00:02:00,440 Speaker 2: top of mind things people. 44 00:02:00,760 --> 00:02:03,800 Speaker 3: So I have never been an Apple watcher, as evidenced 45 00:02:03,960 --> 00:02:05,880 Speaker 3: by the state of my phone. But I think part 46 00:02:05,920 --> 00:02:08,720 Speaker 3: of the issue is also like the products got pretty good, 47 00:02:08,880 --> 00:02:11,360 Speaker 3: right to the point where you don't need to place 48 00:02:11,480 --> 00:02:14,240 Speaker 3: them literally every two years for the latest upgrade. Or 49 00:02:14,800 --> 00:02:18,240 Speaker 3: maybe it's just Apple can't think of the enticing upgrades 50 00:02:18,280 --> 00:02:19,720 Speaker 3: that people need to see in order to. 51 00:02:19,639 --> 00:02:23,040 Speaker 2: Buy something that I had forgotten about until someone I 52 00:02:23,080 --> 00:02:26,239 Speaker 2: think pointed out recently there was a period in which 53 00:02:26,400 --> 00:02:29,040 Speaker 2: was very common to see like people like very cracked 54 00:02:29,080 --> 00:02:32,160 Speaker 2: iPhone screens, right, that was just like and they was 55 00:02:32,200 --> 00:02:34,280 Speaker 2: just like really looked and but they were still usable. 56 00:02:34,520 --> 00:02:36,079 Speaker 2: When was the last time you saw like a badly 57 00:02:36,160 --> 00:02:39,160 Speaker 2: cracked iPhone screen? Yeah, they never and like you could 58 00:02:39,240 --> 00:02:42,800 Speaker 2: drop them now and they're very likely to remember. 59 00:02:42,480 --> 00:02:46,160 Speaker 3: I dropped this phone from the stands at the Jackson 60 00:02:46,200 --> 00:02:46,920 Speaker 3: Hole Rodeo. 61 00:02:47,240 --> 00:02:49,560 Speaker 2: Oh yeah, you were there, fall underneath. 62 00:02:49,480 --> 00:02:52,519 Speaker 3: It fell all the way down and it was fine. Yeah, 63 00:02:52,639 --> 00:02:54,640 Speaker 3: it was probably like fifteen fee years of the. 64 00:02:54,840 --> 00:02:57,800 Speaker 2: They work really well anyway. I think sitting aside the 65 00:02:57,880 --> 00:03:02,399 Speaker 2: fact that, okay, Apple is still a huge, huge, successful company, 66 00:03:02,919 --> 00:03:06,480 Speaker 2: but we should talk about Apple because it is actually 67 00:03:06,520 --> 00:03:09,040 Speaker 2: one of these things that it's at the intersection of 68 00:03:09,120 --> 00:03:11,680 Speaker 2: so much that we're interested in right now. It's at 69 00:03:11,720 --> 00:03:16,080 Speaker 2: the intersection of, you know, the future of manufacturing China. 70 00:03:16,160 --> 00:03:20,920 Speaker 2: It's at the intersection of memory costs and the degree 71 00:03:20,960 --> 00:03:25,839 Speaker 2: to which that's bleeding into consumer prices. It's the primary 72 00:03:25,880 --> 00:03:29,280 Speaker 2: ways so many people interact with computers of the Internet, 73 00:03:29,560 --> 00:03:33,040 Speaker 2: and yet it's not a major player like building AI models, 74 00:03:33,040 --> 00:03:37,560 Speaker 2: So like, how will AI change our relationship to just 75 00:03:37,600 --> 00:03:40,720 Speaker 2: like either like computing or there. It's it's like at 76 00:03:40,720 --> 00:03:43,240 Speaker 2: the center of so many like important topics right now. 77 00:03:43,720 --> 00:03:45,119 Speaker 2: So I sort of want to know, like what's going 78 00:03:45,160 --> 00:03:45,720 Speaker 2: on with Apple. 79 00:03:45,840 --> 00:03:49,520 Speaker 3: The thing I'm really interested in are the recent price increases, yes, 80 00:03:49,560 --> 00:03:52,480 Speaker 3: because you think, like the story in consumer tech for 81 00:03:52,560 --> 00:03:56,440 Speaker 3: decades now has been deflation. Ye, right, things get cheaper 82 00:03:56,560 --> 00:03:59,520 Speaker 3: to buy and at the same time, you know, it 83 00:03:59,560 --> 00:04:02,320 Speaker 3: becomes more expensive to live because food prices go up, 84 00:04:02,320 --> 00:04:05,880 Speaker 3: in healthcare or whatever. But the story in tech is 85 00:04:05,920 --> 00:04:08,560 Speaker 3: that prices have been going down and suddenly we have 86 00:04:08,720 --> 00:04:12,080 Speaker 3: this sea change announced by Apple I guess a few 87 00:04:12,160 --> 00:04:14,160 Speaker 3: weeks ago or a couple of weeks ago now saying 88 00:04:14,200 --> 00:04:17,000 Speaker 3: that the actually they're going to raise prices pretty much 89 00:04:17,000 --> 00:04:19,200 Speaker 3: for the first time ever. Yeah, on a bunch of 90 00:04:19,240 --> 00:04:19,839 Speaker 3: their products. 91 00:04:19,839 --> 00:04:21,760 Speaker 2: It's really wild, Like we think that there should just 92 00:04:21,800 --> 00:04:25,159 Speaker 2: be some like mechanical law that if it's like a gadget, 93 00:04:25,279 --> 00:04:27,880 Speaker 2: it goes down in price and for years and years, 94 00:04:27,920 --> 00:04:30,200 Speaker 2: I mean, it's just the thing. And so it's extraordinary 95 00:04:30,240 --> 00:04:34,080 Speaker 2: to see like this actually reversing. So I don't know, 96 00:04:34,160 --> 00:04:35,320 Speaker 2: I want to know what's up with Apple. 97 00:04:35,400 --> 00:04:36,920 Speaker 3: It's a good time to talk about Apple. 98 00:04:37,160 --> 00:04:40,120 Speaker 2: Well, I'm very excited to say we do literally have 99 00:04:40,480 --> 00:04:45,880 Speaker 2: the perfect guest. Someone outside of probably Tim Cook. There's 100 00:04:46,000 --> 00:04:50,480 Speaker 2: probably no person in the world, including employees at Apple, 101 00:04:50,839 --> 00:04:54,160 Speaker 2: There's probably no person outside of Tim Cook that knows 102 00:04:54,240 --> 00:04:59,800 Speaker 2: the company better. The ultimate Apple watcher, not Apple watches, 103 00:05:00,200 --> 00:05:03,839 Speaker 2: watch the Apple, the ultimate Apple observer, no or for 104 00:05:04,000 --> 00:05:08,000 Speaker 2: years and years, literally the man who watches Apple. And 105 00:05:08,040 --> 00:05:10,400 Speaker 2: he is a colleague of ours at Bloomberg. I don't 106 00:05:10,400 --> 00:05:12,679 Speaker 2: think we've ever had him on the podcast before, which 107 00:05:12,720 --> 00:05:14,240 Speaker 2: is a shame. But we are now going to be 108 00:05:14,240 --> 00:05:16,440 Speaker 2: speaking with Mark German. He is the managing editor of 109 00:05:16,480 --> 00:05:19,800 Speaker 2: Consumer Tech at Bloomberg. He's the author of the power 110 00:05:19,839 --> 00:05:23,480 Speaker 2: On newsletter, which everyone should subscribe to. So Mark, thank 111 00:05:23,520 --> 00:05:24,919 Speaker 2: you so much for coming on odd Lots. 112 00:05:25,040 --> 00:05:26,960 Speaker 4: Yeah, thank you both for having me. Really appreciate it. 113 00:05:27,000 --> 00:05:27,520 Speaker 4: Good to be here. 114 00:05:27,640 --> 00:05:31,320 Speaker 2: Wait, I noticed you have the Orange iPhone. 115 00:05:31,520 --> 00:05:33,920 Speaker 4: Yeah, and like it's what it's a tank. 116 00:05:34,080 --> 00:05:36,400 Speaker 2: It's a tank, But can you explain, like what is 117 00:05:36,400 --> 00:05:41,360 Speaker 2: it about the Orange iPhone specifically, because you know yeah, 118 00:05:41,400 --> 00:05:43,600 Speaker 2: it is. It is a thing because I noticed that, 119 00:05:43,680 --> 00:05:45,200 Speaker 2: like you know, in the old days, you get lots 120 00:05:45,200 --> 00:05:48,719 Speaker 2: of colors, but all the cool pupil and all the 121 00:05:48,760 --> 00:05:53,080 Speaker 2: people who like actually like have like regularly refreshed their phones, 122 00:05:53,120 --> 00:05:55,760 Speaker 2: they all have that orange I phone. There is something 123 00:05:55,839 --> 00:05:58,640 Speaker 2: special about it beyond just being one of the apple 124 00:05:58,680 --> 00:05:59,880 Speaker 2: colors that they've always had. 125 00:06:00,080 --> 00:06:03,160 Speaker 4: So here's the backstory. Right, for years, the iPhones they 126 00:06:03,160 --> 00:06:05,920 Speaker 4: came in black or white, and then back in twenty 127 00:06:05,960 --> 00:06:09,120 Speaker 4: thirteen they added gold for the iPhone five S. Why 128 00:06:09,160 --> 00:06:11,320 Speaker 4: did they do that? They were trying to break into China. 129 00:06:11,680 --> 00:06:13,599 Speaker 4: Everyone knows gold is a lot of color in China. 130 00:06:13,640 --> 00:06:17,839 Speaker 4: They were trying to break into, right, And then over 131 00:06:17,920 --> 00:06:20,560 Speaker 4: time they started coming out with new variations of the iPhones. 132 00:06:20,600 --> 00:06:23,320 Speaker 4: The cheaper phones you had the five C, you had 133 00:06:23,360 --> 00:06:27,120 Speaker 4: the ten R. Now the base phones like the fourteen, fifteen, sixteen, 134 00:06:27,279 --> 00:06:29,400 Speaker 4: those had a lot of fun colors, bright colors. You 135 00:06:29,480 --> 00:06:32,920 Speaker 4: had yellow, you had green, you had blue, purple, pink, whatever. 136 00:06:33,360 --> 00:06:35,760 Speaker 4: But the people who bought the top end phones, the prophones, 137 00:06:35,800 --> 00:06:38,280 Speaker 4: these are the thousand and fifteen hund dollars phones, they 138 00:06:38,279 --> 00:06:41,000 Speaker 4: were like, I'm kind of getting tired of just black 139 00:06:41,040 --> 00:06:43,680 Speaker 4: every year, white every year, gold every or silver, these 140 00:06:43,760 --> 00:06:46,800 Speaker 4: muted colors, and so people had started complaining to Apple, 141 00:06:47,000 --> 00:06:50,120 Speaker 4: we want more colors, and Apple said, what can we 142 00:06:50,160 --> 00:06:53,320 Speaker 4: do unique for the iPhone pros And it just so 143 00:06:53,440 --> 00:06:56,560 Speaker 4: happens that for the profhones, right the seventeen Pro and 144 00:06:56,600 --> 00:07:00,560 Speaker 4: Promac series, they needed to move to a new material. Okay, 145 00:07:00,680 --> 00:07:02,839 Speaker 4: so the big deal with the iPhone fifteen back in 146 00:07:02,839 --> 00:07:06,080 Speaker 4: twenty twenty three was they moved to titanium, and they 147 00:07:06,120 --> 00:07:09,920 Speaker 4: started this ad campaign around titanium that your phone is 148 00:07:10,000 --> 00:07:12,680 Speaker 4: using the same materials that they use on outer space. 149 00:07:13,000 --> 00:07:15,000 Speaker 4: They always come up with some interesting marketing to you. 150 00:07:15,520 --> 00:07:17,960 Speaker 4: But the pron with titanium, and they only seem to 151 00:07:18,000 --> 00:07:19,880 Speaker 4: realize this was such a big deal after the phone 152 00:07:19,880 --> 00:07:24,000 Speaker 4: ship was that titanium doesn't dissipate heat well. It dissipates 153 00:07:24,000 --> 00:07:27,080 Speaker 4: heat about a tenth as well as aluminum. And Apple 154 00:07:27,160 --> 00:07:31,160 Speaker 4: obviously was famous for aluminum products for many years, and 155 00:07:31,240 --> 00:07:35,520 Speaker 4: so for the seventeen series they ditched titanium went back 156 00:07:35,560 --> 00:07:39,680 Speaker 4: to aluminum. Aluminum not only dissipates heat much better, but 157 00:07:40,040 --> 00:07:42,920 Speaker 4: you're able to get color to stick to it much 158 00:07:42,960 --> 00:07:45,440 Speaker 4: better than you can on titanium. And so they wanted 159 00:07:45,440 --> 00:07:47,480 Speaker 4: to do a bunch of fun colors for this first 160 00:07:47,520 --> 00:07:51,840 Speaker 4: generation aluminum prophone, and so they've gotten orange. They have 161 00:07:51,880 --> 00:07:54,680 Speaker 4: classic silver, which I think really hot, and then you 162 00:07:54,680 --> 00:07:55,520 Speaker 4: have a dark blue. 163 00:07:56,000 --> 00:07:56,400 Speaker 2: Got it? 164 00:07:56,440 --> 00:07:59,240 Speaker 4: But orange to the hot color. To an all their 165 00:07:59,240 --> 00:08:01,600 Speaker 4: marketing material, everyone wants to show, hey, I have the 166 00:08:01,600 --> 00:08:02,840 Speaker 4: new one. The easiest way to know you have the 167 00:08:02,840 --> 00:08:05,040 Speaker 4: new one is to get this bold orange phone. They 168 00:08:05,040 --> 00:08:08,559 Speaker 4: call it cosmic orange. And then in China, the orange 169 00:08:08,600 --> 00:08:11,360 Speaker 4: in particular has been a hot cellar. The word on 170 00:08:11,400 --> 00:08:14,720 Speaker 4: the street is that's because the orange is kind of 171 00:08:14,720 --> 00:08:17,360 Speaker 4: like Ermez orange. To my eyes, I'm a little colorblind. 172 00:08:17,720 --> 00:08:20,120 Speaker 4: I don't think this orange looks anything like Ermez orange, 173 00:08:20,320 --> 00:08:23,520 Speaker 4: but it's close enough and close enough, close enough. And 174 00:08:23,520 --> 00:08:26,640 Speaker 4: then this year they're moving to a red from orange 175 00:08:26,640 --> 00:08:29,640 Speaker 4: to red or like a dark wine color. And why 176 00:08:29,760 --> 00:08:33,800 Speaker 4: is red important in China? The dragon right obviously very 177 00:08:33,800 --> 00:08:36,240 Speaker 4: popular there. So in other words, I think they know 178 00:08:36,240 --> 00:08:37,400 Speaker 4: what they're doing when it comes to color. 179 00:08:37,760 --> 00:08:41,000 Speaker 2: Wow, Ermez orange, iphund Sparks Apple come back in China. 180 00:08:41,160 --> 00:08:43,240 Speaker 2: According to a random post on Reddit, well. 181 00:08:43,120 --> 00:08:46,000 Speaker 3: Okay, since we're talking about China and pop culture to 182 00:08:46,040 --> 00:08:48,800 Speaker 3: some extent, the other big piece of Apple news recently 183 00:08:49,040 --> 00:08:51,960 Speaker 3: is that Tim Cook got a World Cup labooboo from 184 00:08:51,960 --> 00:08:53,000 Speaker 3: the PopMart CEO. 185 00:08:53,320 --> 00:08:56,480 Speaker 4: I saw that. I saw that this morning. Tim Cook's 186 00:08:56,559 --> 00:08:58,720 Speaker 4: not gonna have too many more of those opportunities to 187 00:08:58,760 --> 00:09:01,040 Speaker 4: have people come visit him at Apple Park and take 188 00:09:01,080 --> 00:09:04,880 Speaker 4: pictures with him. It's all about John Turnis, his successor. 189 00:09:05,000 --> 00:09:07,600 Speaker 4: Very soon were just a few weeks away from the 190 00:09:07,640 --> 00:09:11,160 Speaker 4: new CEO taking over, And this is something obviously I'm 191 00:09:11,360 --> 00:09:14,320 Speaker 4: watching very closely. If you had me on your podcast 192 00:09:14,360 --> 00:09:15,800 Speaker 4: two and a half years ago, I could have told 193 00:09:15,800 --> 00:09:17,840 Speaker 4: you this was the guy. No one else other than 194 00:09:17,880 --> 00:09:18,640 Speaker 4: me saw it coming. 195 00:09:18,720 --> 00:09:21,040 Speaker 3: But he did write some profile piece. 196 00:09:22,960 --> 00:09:25,040 Speaker 4: Yeah, well tried to do more than hint, but wrote 197 00:09:25,040 --> 00:09:26,680 Speaker 4: a few about him the last couple of years because 198 00:09:26,679 --> 00:09:29,199 Speaker 4: I knew he was the guy, and I think it's 199 00:09:29,240 --> 00:09:31,120 Speaker 4: going to be an interesting time at Apple the next 200 00:09:31,160 --> 00:09:31,600 Speaker 4: three years. 201 00:09:31,640 --> 00:09:34,200 Speaker 2: Well, this is another way that things have changed, which 202 00:09:34,240 --> 00:09:39,080 Speaker 2: is that Steve Jobs was a pop culture figure. Tim 203 00:09:39,160 --> 00:09:42,960 Speaker 2: Cook became a pop culture figure after taking on the 204 00:09:42,960 --> 00:09:46,959 Speaker 2: mantle of CEO. And I suspect that if you went 205 00:09:46,960 --> 00:09:49,760 Speaker 2: around and asked one hundred people, who's the person that 206 00:09:49,800 --> 00:09:52,640 Speaker 2: they named as the replacement, they wouldn't. 207 00:09:53,000 --> 00:09:54,680 Speaker 4: I am curious if you went onto the streets of 208 00:09:54,679 --> 00:09:56,600 Speaker 4: Manhattan you asked one hundred people who's the next CEO 209 00:09:56,679 --> 00:09:58,160 Speaker 4: of Apple? How many would know? 210 00:09:58,200 --> 00:10:00,920 Speaker 2: One that seems high. 211 00:10:01,440 --> 00:10:03,360 Speaker 4: One seems I yeah, maybe you ran into me. 212 00:10:04,800 --> 00:10:06,680 Speaker 2: If I ran into you. Okay, well, lit'sten. Maybe this 213 00:10:06,760 --> 00:10:09,480 Speaker 2: is a good because obviously frames like what is the 214 00:10:09,520 --> 00:10:12,000 Speaker 2: Apple that he is inheriting? But before we get to that, 215 00:10:12,320 --> 00:10:15,080 Speaker 2: what is it about him that either you recognize two 216 00:10:15,120 --> 00:10:17,560 Speaker 2: and a half years ago? And then the board and 217 00:10:17,720 --> 00:10:21,000 Speaker 2: the company decided like this is the man to take 218 00:10:21,120 --> 00:10:22,640 Speaker 2: Apple into it's next era. 219 00:10:23,120 --> 00:10:27,160 Speaker 4: Oh, it's actually quite simple, believe it or not. Two factors, Okay. 220 00:10:27,760 --> 00:10:32,880 Speaker 4: Factor one is the products. When you're doing your not monologue, 221 00:10:32,880 --> 00:10:35,319 Speaker 4: but your speech at the beginning of the show, Tracy, 222 00:10:35,440 --> 00:10:37,480 Speaker 4: you remark that you don't know which phone you have. 223 00:10:37,960 --> 00:10:40,560 Speaker 4: You know, you stop counting which number you're at. But 224 00:10:40,640 --> 00:10:43,240 Speaker 4: I think the big difference is is that there's nothing 225 00:10:43,240 --> 00:10:46,760 Speaker 4: remarkable about the new numbers anymore. The iPhone looked identical 226 00:10:46,840 --> 00:10:49,400 Speaker 4: for six years up until this big change with the 227 00:10:49,440 --> 00:10:52,439 Speaker 4: Orange phones and what have you. Right, So I think 228 00:10:52,480 --> 00:10:55,480 Speaker 4: the board recognized, certainly, consumers recognized people in the company 229 00:10:55,520 --> 00:11:01,000 Speaker 4: recognized that the product is just lacking in say sexiness, 230 00:11:01,520 --> 00:11:05,040 Speaker 4: right for lack of a better term, lack of victim success, 231 00:11:05,120 --> 00:11:07,200 Speaker 4: victim of its own success. But remember in the Steve 232 00:11:07,320 --> 00:11:10,240 Speaker 4: Jobs days, right in the early Tim Cook days, every 233 00:11:10,320 --> 00:11:12,960 Speaker 4: other year you were getting this breakthrough new phone. Like 234 00:11:13,000 --> 00:11:14,560 Speaker 4: when was the last time you went and picked up 235 00:11:14,600 --> 00:11:17,160 Speaker 4: a new Apple product and you were like, holy crap, 236 00:11:17,200 --> 00:11:20,120 Speaker 4: this thing is totally different, totally amazing. It's been a while, 237 00:11:20,600 --> 00:11:25,079 Speaker 4: and so I think Apple needed to resuscitate its product design. 238 00:11:25,600 --> 00:11:29,400 Speaker 4: It's hardware, it's product genes coming off innovative new things. 239 00:11:29,679 --> 00:11:32,599 Speaker 4: And John Turnas, he was the senior vice president of 240 00:11:32,600 --> 00:11:35,880 Speaker 4: hardware engineering. He was the guy actually in charge of 241 00:11:36,080 --> 00:11:39,200 Speaker 4: product development. And so for a company looking to shake 242 00:11:39,280 --> 00:11:43,040 Speaker 4: itself out of a product lull, putting you're new, he's 243 00:11:43,200 --> 00:11:46,000 Speaker 4: quite new in his senior VP role, your new product 244 00:11:46,000 --> 00:11:48,960 Speaker 4: person in charge of things. That makes a lot of sense. 245 00:11:49,160 --> 00:11:52,120 Speaker 4: You don't want another operational person, you don't want a 246 00:11:52,160 --> 00:11:55,240 Speaker 4: marketing person, you don't want another finance person. We've went 247 00:11:55,280 --> 00:11:57,199 Speaker 4: down that road now with Tim Cook for fifteen years, 248 00:11:57,440 --> 00:12:01,319 Speaker 4: hugely successful. Time for a new era. The simpler answer 249 00:12:01,679 --> 00:12:04,800 Speaker 4: is that John Turnas is fifty to fifty one years old. 250 00:12:05,040 --> 00:12:08,400 Speaker 4: Every other person on the Apple executive team who could 251 00:12:08,440 --> 00:12:13,240 Speaker 4: have theoretically replaced Tim Cook with their experience sixty plus, okay, 252 00:12:13,520 --> 00:12:16,920 Speaker 4: some of them sixty five plus. And Apple the way 253 00:12:16,960 --> 00:12:18,880 Speaker 4: they are run is their run for the long term. 254 00:12:19,320 --> 00:12:22,679 Speaker 4: They wanted to avoid Bob Eygert a Bob Jpek situation 255 00:12:23,000 --> 00:12:24,840 Speaker 4: where you're putting someone in who you know is going 256 00:12:24,920 --> 00:12:26,679 Speaker 4: to fail or you know is going to retire in 257 00:12:26,720 --> 00:12:30,480 Speaker 4: three to five years. The Verizon hiring Dan Schulman at 258 00:12:30,520 --> 00:12:32,880 Speaker 4: sixty seven years old to be their new CEO, that's 259 00:12:32,880 --> 00:12:35,520 Speaker 4: a one to three year thing. Apple does not operate 260 00:12:35,600 --> 00:12:37,800 Speaker 4: in the short term. They operate in the long term. 261 00:12:38,040 --> 00:12:40,079 Speaker 4: So who's the person we can appoint that's going to 262 00:12:40,120 --> 00:12:42,760 Speaker 4: be CEO for the next fifteen to twenty years. John 263 00:12:43,080 --> 00:12:46,560 Speaker 4: turnus the only option. I'm not saying that he's the 264 00:12:46,559 --> 00:12:49,240 Speaker 4: perfect choice in the world, but he's the perfect choice 265 00:12:49,280 --> 00:12:52,240 Speaker 4: for Apple because he really was the only choice, and 266 00:12:52,679 --> 00:12:55,280 Speaker 4: maybe they fell backwards into him being the only choice. 267 00:12:55,720 --> 00:12:58,240 Speaker 4: Maybe they didn't. Maybe this was all calculated years ago. 268 00:12:58,320 --> 00:13:00,640 Speaker 4: I don't think it was. But long st story short, 269 00:13:00,679 --> 00:13:02,960 Speaker 4: I think this is the man for the job at 270 00:13:02,960 --> 00:13:03,520 Speaker 4: the right time. 271 00:13:04,000 --> 00:13:06,959 Speaker 3: Well so I don't know anything about John Turnas other 272 00:13:07,000 --> 00:13:08,920 Speaker 3: than what you just said and some of your pieces 273 00:13:08,960 --> 00:13:11,640 Speaker 3: that I've read before. But do we have any evidence 274 00:13:11,679 --> 00:13:14,240 Speaker 3: that in terms of product design, like he can be 275 00:13:14,360 --> 00:13:17,400 Speaker 3: quite creative and he can come up with the sexy 276 00:13:17,480 --> 00:13:20,520 Speaker 3: new features that might get people interested in iPhones again, 277 00:13:20,520 --> 00:13:22,600 Speaker 3: Because if he's been doing it for a while, then 278 00:13:23,080 --> 00:13:24,560 Speaker 3: I would say maybe not. 279 00:13:25,080 --> 00:13:28,360 Speaker 4: He's not particularly known as an innovator, or hasn't been 280 00:13:28,360 --> 00:13:31,920 Speaker 4: particularly known as an innovator inside Apple. Some people call 281 00:13:32,000 --> 00:13:34,320 Speaker 4: him a treadmill runner, doing the same thing over and 282 00:13:34,360 --> 00:13:38,240 Speaker 4: over again. But he also has the awareness to know 283 00:13:38,320 --> 00:13:40,760 Speaker 4: that Apple needs to do things differently, and he has 284 00:13:40,800 --> 00:13:44,760 Speaker 4: the credibility and charisma to let Apple do things differently 285 00:13:45,240 --> 00:13:49,280 Speaker 4: and quietly. The last three to four to maybe five years, 286 00:13:49,880 --> 00:13:54,200 Speaker 4: Apple has been working on its most impressive and you 287 00:13:54,520 --> 00:13:59,320 Speaker 4: packed product lineup product overhaul in its history. The next 288 00:13:59,320 --> 00:14:01,720 Speaker 4: three years are to be the biggest three product years 289 00:14:01,720 --> 00:14:05,000 Speaker 4: in Apple's history. There is so much stuff coming. I'm 290 00:14:05,040 --> 00:14:07,160 Speaker 4: having a hard time wrapping my head around it. And 291 00:14:07,240 --> 00:14:09,120 Speaker 4: I've already removed my credit card from my wallet and 292 00:14:09,120 --> 00:14:10,880 Speaker 4: put it in my drawer, locked it and threw the 293 00:14:10,920 --> 00:14:13,520 Speaker 4: key out the window. Not really I'm gonna get all 294 00:14:13,520 --> 00:14:16,839 Speaker 4: of it, but point being, there's a lot coming. If 295 00:14:16,880 --> 00:14:20,360 Speaker 4: you're an Apple fanboy like myself, I'll admit it. If 296 00:14:20,400 --> 00:14:24,560 Speaker 4: you are a tech enthusiast like myself, this is so 297 00:14:25,160 --> 00:14:26,440 Speaker 4: freaking exciting. 298 00:14:41,680 --> 00:14:44,360 Speaker 2: All right, So we obviously have to talk about the 299 00:14:44,400 --> 00:14:46,720 Speaker 2: next three years what these products are. But just one 300 00:14:46,880 --> 00:14:50,720 Speaker 2: quick question before we get into that conversation. You know, 301 00:14:50,800 --> 00:14:53,880 Speaker 2: there was a time when I think everyone agreed that 302 00:14:53,960 --> 00:14:58,040 Speaker 2: from a smartphone perspective, the iPhone was unambiguously the best 303 00:14:58,280 --> 00:15:02,000 Speaker 2: product in the world. Other phones that like, maybe on 304 00:15:02,040 --> 00:15:05,560 Speaker 2: a price you know, adjusted standpoint, maybe we're better deals 305 00:15:05,680 --> 00:15:09,600 Speaker 2: or whatever, et cetera. They are really good phones now 306 00:15:09,640 --> 00:15:14,640 Speaker 2: being made by other companies, including Chinese manufacturers who like 307 00:15:14,880 --> 00:15:18,200 Speaker 2: I saw the foldable phones and things like that. They're 308 00:15:18,240 --> 00:15:21,760 Speaker 2: actually really cool and they're good, and I think in 309 00:15:21,800 --> 00:15:25,000 Speaker 2: some cases maybe the camera quality is better for some 310 00:15:25,040 --> 00:15:27,080 Speaker 2: of these others, though I'm not sure. If you take 311 00:15:27,200 --> 00:15:31,560 Speaker 2: by the most expensive iPhone that you can buy right now, 312 00:15:31,760 --> 00:15:35,640 Speaker 2: is it on ambiguously the best smartphone in the world, 313 00:15:35,720 --> 00:15:38,680 Speaker 2: and what is the gap between that and the next 314 00:15:38,680 --> 00:15:39,800 Speaker 2: biggest best. 315 00:15:39,720 --> 00:15:43,440 Speaker 4: In the Western world? The iPhone is unambiguously the best 316 00:15:43,440 --> 00:15:48,560 Speaker 4: smartphone when you factor it in totality. But they're not 317 00:15:48,600 --> 00:15:51,520 Speaker 4: the most creative phone. They don't have the best form factors, 318 00:15:51,640 --> 00:15:54,040 Speaker 4: they don't have the best screen technology. I would probably 319 00:15:54,040 --> 00:15:57,240 Speaker 4: give that to Samsung by a small margin. Don't forget 320 00:15:57,280 --> 00:16:01,040 Speaker 4: Samsung designs, develops, you know, all those components. Right from 321 00:16:01,080 --> 00:16:04,200 Speaker 4: a camera perspective in the Western world, you're talking about Google. 322 00:16:04,680 --> 00:16:07,680 Speaker 4: Google identified a decade ago that the magic to making 323 00:16:07,720 --> 00:16:11,000 Speaker 4: a better camera isn't necessarily the sensors and the hardware, 324 00:16:11,280 --> 00:16:16,120 Speaker 4: it's the AI. At Apple, as we've undoubtedly no has 325 00:16:16,200 --> 00:16:20,520 Speaker 4: not been exactly a leader in the AI space. But 326 00:16:20,640 --> 00:16:25,480 Speaker 4: when you're talking about the combination of design, hardware, accessibility, 327 00:16:25,840 --> 00:16:29,320 Speaker 4: right like a product that people understand, how to use, ecosystem, 328 00:16:29,640 --> 00:16:33,160 Speaker 4: customer service, the whole nine yards, Apple is certainly in 329 00:16:33,200 --> 00:16:35,760 Speaker 4: the lead. You go to China, it's a whole different world. 330 00:16:35,920 --> 00:16:38,480 Speaker 4: I don't think people understand that China is just literally 331 00:16:38,520 --> 00:16:41,600 Speaker 4: a different planet when it comes to technology. They have foldables, 332 00:16:41,680 --> 00:16:45,280 Speaker 4: they have trifolds, this, they have that, they have glasses, 333 00:16:45,320 --> 00:16:49,200 Speaker 4: they have bigger tablets. They have these tabletop robotic devices 334 00:16:49,240 --> 00:16:52,080 Speaker 4: on people's desks. The cameras on the phones in China 335 00:16:52,160 --> 00:16:55,320 Speaker 4: you're talking about Vivo, You're talking about shao Mi Huawei. 336 00:16:55,680 --> 00:17:00,520 Speaker 4: They will destroy Apple. It's a big, big difference, and 337 00:17:00,600 --> 00:17:03,720 Speaker 4: so Apple needs to step it up in China when 338 00:17:03,760 --> 00:17:06,919 Speaker 4: it comes to hardware. I think the iPhone Air and 339 00:17:06,960 --> 00:17:10,280 Speaker 4: the iPhone seventeen Promax were good steps in that direction. 340 00:17:10,960 --> 00:17:12,760 Speaker 4: But if you want to talk about the product roadmap, 341 00:17:13,000 --> 00:17:16,040 Speaker 4: can I can dive into that. I think the foldable phone, 342 00:17:16,240 --> 00:17:18,919 Speaker 4: I'm calling it the iPhone Ultra. Apple's coming out with 343 00:17:18,960 --> 00:17:23,840 Speaker 4: it in September October timeframe, is going to be really hot, 344 00:17:24,160 --> 00:17:26,840 Speaker 4: really successful in China. It's going to be a status symbol. 345 00:17:26,840 --> 00:17:29,199 Speaker 4: People are driven to status symbols in China. It's going 346 00:17:29,240 --> 00:17:31,639 Speaker 4: to be twenty five hundred dollars roughly, and so I 347 00:17:31,640 --> 00:17:33,200 Speaker 4: think it's going to be a big seller there. Given 348 00:17:33,240 --> 00:17:35,879 Speaker 4: how popular foldables are there. I'm certainly going to be 349 00:17:35,920 --> 00:17:37,760 Speaker 4: first in line because I have been waiting for a 350 00:17:37,800 --> 00:17:41,040 Speaker 4: foldable iPhone for a number of years. Samsung absolutely the 351 00:17:41,040 --> 00:17:44,240 Speaker 4: pioneer in the category. They've been working on them for 352 00:17:44,480 --> 00:17:47,760 Speaker 4: a long time now. They finally got really suitable for 353 00:17:47,840 --> 00:17:50,560 Speaker 4: daily use a year or two ago. Apple will be 354 00:17:50,600 --> 00:17:53,760 Speaker 4: there from day one. I would just not want a 355 00:17:53,800 --> 00:17:55,400 Speaker 4: non iOS phone. If I'm being honest with. 356 00:17:55,359 --> 00:17:56,920 Speaker 2: You, Yeah, right, that's still a huge thing. 357 00:17:57,200 --> 00:17:59,120 Speaker 3: I'm going to save the rest of the product launches 358 00:17:59,160 --> 00:18:01,680 Speaker 3: for the end of the podcast, so we entice people 359 00:18:01,760 --> 00:18:05,359 Speaker 3: tell all the way through. But you mentioned Apple and AI, 360 00:18:05,640 --> 00:18:07,399 Speaker 3: so I think we should talk about this. But like, 361 00:18:07,520 --> 00:18:10,320 Speaker 3: why does it seem that Apple has, in large part, 362 00:18:10,400 --> 00:18:12,160 Speaker 3: I guess missed the boat on AI. 363 00:18:12,640 --> 00:18:15,879 Speaker 4: Tim Cook his worst decision in his history at Apple 364 00:18:16,680 --> 00:18:20,119 Speaker 4: was who he hired to manage artificial intelligence at Apple. 365 00:18:20,720 --> 00:18:22,680 Speaker 4: Bless his soul, perfectly nice. 366 00:18:22,480 --> 00:18:23,760 Speaker 3: Guy, bless his heart. 367 00:18:23,920 --> 00:18:30,200 Speaker 4: Yes, yes, John by all accounts of a thought leader 368 00:18:30,200 --> 00:18:35,280 Speaker 4: and artificial intelligence, but also a skeptic of AI. And 369 00:18:35,359 --> 00:18:39,159 Speaker 4: so John G JG as he goes as inside of Apple. 370 00:18:39,480 --> 00:18:41,399 Speaker 4: He was the senior VP of AI at Apple. He 371 00:18:41,440 --> 00:18:44,280 Speaker 4: was hired in twenty eighteen. This was the guy who 372 00:18:44,320 --> 00:18:46,560 Speaker 4: was supposed to make sure that Apple became dominant in 373 00:18:46,640 --> 00:18:50,560 Speaker 4: AI and generative AI. Totally missed the boat. Apparently didn't 374 00:18:50,600 --> 00:18:52,600 Speaker 4: see it coming, or if he saw it coming, did 375 00:18:52,600 --> 00:18:55,199 Speaker 4: not put the right staff and resources on it. So 376 00:18:55,359 --> 00:18:59,040 Speaker 4: clearly that was a big miss and Apple should still 377 00:18:59,080 --> 00:19:00,000 Speaker 4: be embarrassed about it. 378 00:19:00,280 --> 00:19:02,399 Speaker 2: I think there's word noting by the way here, Apple 379 00:19:02,600 --> 00:19:04,800 Speaker 2: is trading an all time high, and actually some of 380 00:19:04,840 --> 00:19:08,679 Speaker 2: the other like some of the companies that are among 381 00:19:08,720 --> 00:19:12,439 Speaker 2: the really big tech companies that have invested more in 382 00:19:12,680 --> 00:19:15,880 Speaker 2: AI and are doing quite better, are not necessarily. 383 00:19:15,600 --> 00:19:18,080 Speaker 4: Yeah, but you know Apple, I would be happy for 384 00:19:18,119 --> 00:19:19,399 Speaker 4: them if this was a strategy. 385 00:19:19,640 --> 00:19:23,520 Speaker 2: No, No, they it. I'm totally I totally get it. 386 00:19:23,800 --> 00:19:27,240 Speaker 2: But what I'm saying is that the market has not 387 00:19:27,440 --> 00:19:32,240 Speaker 2: really penalized them for the fact that they're not really 388 00:19:32,280 --> 00:19:34,359 Speaker 2: a player in AI, whereas you have these companies that 389 00:19:34,400 --> 00:19:37,600 Speaker 2: are very serious players in AI, and I'm thinking like 390 00:19:38,080 --> 00:19:42,000 Speaker 2: Google and Microsoft, and they're like, the market has not 391 00:19:42,119 --> 00:19:48,280 Speaker 2: rewarded them for having technology that is near the AI frontier. Now, 392 00:19:48,320 --> 00:19:51,359 Speaker 2: when we talk about AI at Apple, I think there's 393 00:19:51,400 --> 00:19:55,600 Speaker 2: sort of like two different things that we could be 394 00:19:55,840 --> 00:19:58,960 Speaker 2: talking about. So one of them is what we'd say 395 00:19:59,040 --> 00:20:03,000 Speaker 2: like edge based AI. Is there AI that's like on 396 00:20:03,119 --> 00:20:07,200 Speaker 2: the chip that can make a photo render much better 397 00:20:07,720 --> 00:20:13,120 Speaker 2: than say like a traditional camera architecture. That's like one 398 00:20:13,280 --> 00:20:15,840 Speaker 2: kind of way we talk about AI. It does a 399 00:20:15,840 --> 00:20:19,360 Speaker 2: better job of capturing what the user wants to capture 400 00:20:19,480 --> 00:20:22,560 Speaker 2: using artificial intelligence. And then there is this other question 401 00:20:22,680 --> 00:20:25,320 Speaker 2: of like, well, is the company building something that we 402 00:20:25,440 --> 00:20:29,080 Speaker 2: call a large language model, which is a very separate conversation, 403 00:20:29,240 --> 00:20:31,360 Speaker 2: and it's a different way of like understanding what we're 404 00:20:31,359 --> 00:20:36,520 Speaker 2: talking about with AI right here, right now, twenty twenty six. 405 00:20:36,600 --> 00:20:39,760 Speaker 2: So it's like, Okay, inside Apple, we want to correct 406 00:20:39,760 --> 00:20:42,560 Speaker 2: our past ten years of like missing out on AI. 407 00:20:43,080 --> 00:20:45,480 Speaker 2: What do they want to achieve with AI? 408 00:20:46,200 --> 00:20:48,000 Speaker 4: Well, there's a lot here, and I think I'll take 409 00:20:48,040 --> 00:20:50,639 Speaker 4: it back to y Apples at an all time high. 410 00:20:51,080 --> 00:20:54,520 Speaker 4: I think investors are smart and they actually have a 411 00:20:54,560 --> 00:20:57,600 Speaker 4: good understanding of what kind of company Apple is. And 412 00:20:57,680 --> 00:21:00,520 Speaker 4: Apple is not an AI company. It's not a hardware company, 413 00:21:00,680 --> 00:21:03,520 Speaker 4: it's not a software company. It's a product company. The 414 00:21:03,560 --> 00:21:06,520 Speaker 4: magic of Apple, and this was Steve's big thing, is 415 00:21:06,600 --> 00:21:09,840 Speaker 4: bringing it all together in one package. Apple may not 416 00:21:09,920 --> 00:21:13,199 Speaker 4: have the best phone in terms of the technology or 417 00:21:13,240 --> 00:21:17,520 Speaker 4: the camera, but the complete package, unambiguously the best. I 418 00:21:17,520 --> 00:21:20,480 Speaker 4: think consumers realize that AI is going to shift into 419 00:21:20,520 --> 00:21:24,879 Speaker 4: products and products that combine hardware, software services, and AI, 420 00:21:25,400 --> 00:21:27,680 Speaker 4: and you're going to see some great stuff from them 421 00:21:27,680 --> 00:21:29,439 Speaker 4: coming in the future. We'll get back to it in 422 00:21:29,480 --> 00:21:32,560 Speaker 4: the roadmap section in the podcast, but I think that's 423 00:21:32,600 --> 00:21:35,399 Speaker 4: their goal to create products that merge all these things together, 424 00:21:35,600 --> 00:21:38,560 Speaker 4: where the AI disappears into the background. Now I want 425 00:21:38,600 --> 00:21:41,320 Speaker 4: to go back twelve years ago. Okay, twelve years ago, 426 00:21:41,359 --> 00:21:44,639 Speaker 4: Apple started this big project. The idea was to compete 427 00:21:44,640 --> 00:21:49,480 Speaker 4: with Tesla and build an autonomous car. And that project 428 00:21:49,600 --> 00:21:53,400 Speaker 4: was canceled in February of twenty twenty four, so two 429 00:21:53,400 --> 00:21:56,680 Speaker 4: and a half years ago. So they spent well over 430 00:21:56,720 --> 00:22:00,639 Speaker 4: ten billion on it, hired thousands of people, reorganized the 431 00:22:00,680 --> 00:22:04,560 Speaker 4: company around it, and closing a project of this magnitude 432 00:22:04,600 --> 00:22:07,520 Speaker 4: is not something that has a comparison in Apple history. 433 00:22:07,560 --> 00:22:10,800 Speaker 4: This was unprecedented. It was a complete disaster, a huge failure. 434 00:22:12,080 --> 00:22:13,960 Speaker 4: But there was one piece of the pie there that 435 00:22:14,320 --> 00:22:16,760 Speaker 4: is actually really interesting. It's called the Apple neural engine. 436 00:22:17,600 --> 00:22:20,479 Speaker 4: And so in order to do self driving cars, you 437 00:22:20,720 --> 00:22:23,640 Speaker 4: need to process a ton of data at very high 438 00:22:23,680 --> 00:22:27,400 Speaker 4: speeds in real time, see the world around you, process 439 00:22:27,440 --> 00:22:29,960 Speaker 4: it and so the car knows where it's going. And 440 00:22:30,000 --> 00:22:32,080 Speaker 4: the magic sauce that Apple was trying to create for 441 00:22:32,080 --> 00:22:35,960 Speaker 4: the Apple Car was the smartest onboard computer or chip 442 00:22:36,160 --> 00:22:39,600 Speaker 4: in order to do level five autonomous driving. That chip, 443 00:22:39,800 --> 00:22:43,600 Speaker 4: they started working on around twenty fourteen, eventually got shrunk 444 00:22:43,720 --> 00:22:46,399 Speaker 4: down into what they call the neural engine and the 445 00:22:46,440 --> 00:22:48,360 Speaker 4: A and E, and they put it in the iPhone 446 00:22:48,400 --> 00:22:51,560 Speaker 4: ten in twenty seventeen, and that's what allowed features like 447 00:22:51,560 --> 00:22:55,680 Speaker 4: face ID and animoji and augmented reality to work. So 448 00:22:55,720 --> 00:22:58,760 Speaker 4: the only reason that Apple has some of the more 449 00:22:58,760 --> 00:23:03,040 Speaker 4: sophisticated AI hardware on device processing in their phones and 450 00:23:03,080 --> 00:23:05,320 Speaker 4: computers and what have you is because of the Apple 451 00:23:05,320 --> 00:23:07,880 Speaker 4: Car project twelve years ago. And so that's a little 452 00:23:07,960 --> 00:23:10,800 Speaker 4: secret background. If it wasn't for the Apple Car, Apple 453 00:23:10,840 --> 00:23:13,480 Speaker 4: would be even in a more terrible place when it 454 00:23:13,520 --> 00:23:14,879 Speaker 4: came to artificial intelligence. 455 00:23:15,720 --> 00:23:18,400 Speaker 3: Okay, but it seems like that was kind of accidental, right. 456 00:23:18,480 --> 00:23:21,040 Speaker 4: Well, it's all accidental, yeah, right, Okay. It feels like 457 00:23:21,080 --> 00:23:23,399 Speaker 4: the common theme with Apple is that, yeah, they're lucking 458 00:23:23,440 --> 00:23:23,920 Speaker 4: out a lot. 459 00:23:24,119 --> 00:23:26,200 Speaker 3: Yeah okay, But would we expect that. 460 00:23:26,119 --> 00:23:28,760 Speaker 4: They would say that strategy? But I don't think so. 461 00:23:29,040 --> 00:23:30,800 Speaker 3: But do we have a sense of what they actually 462 00:23:30,800 --> 00:23:33,639 Speaker 3: want to achieve in AI, like or are they just 463 00:23:33,640 --> 00:23:35,800 Speaker 3: going to experiment with some stuff and maybe it'll stick, 464 00:23:35,840 --> 00:23:38,560 Speaker 3: maybe it won't, maybe it'll be useful ten years later, you. 465 00:23:38,480 --> 00:23:41,119 Speaker 4: Know, monetizing AI, you know, the jury is still out 466 00:23:41,160 --> 00:23:42,240 Speaker 4: on how exactly you do that. 467 00:23:42,320 --> 00:23:42,520 Speaker 1: Yeah. 468 00:23:42,520 --> 00:23:44,640 Speaker 4: I mean, you see the amount of money that open 469 00:23:44,680 --> 00:23:47,840 Speaker 4: Aye is making versus how much they're losing. It's not 470 00:23:48,000 --> 00:23:51,000 Speaker 4: entirely clear yet, but I think Apple has approven business model. 471 00:23:51,400 --> 00:23:54,520 Speaker 4: It is hardware with very high margins, right, and we 472 00:23:54,560 --> 00:23:56,439 Speaker 4: can talk about that with the price sikes later. But 473 00:23:56,880 --> 00:24:00,639 Speaker 4: Apple wants to roll out AI hardware products AirPods, cameras, 474 00:24:01,240 --> 00:24:07,119 Speaker 4: pendant with cameras, smart cameras, AirPods, AirPods, appendants, smart glasses. 475 00:24:07,240 --> 00:24:08,479 Speaker 2: Is not like a thing you'd put it like kind 476 00:24:08,480 --> 00:24:09,200 Speaker 2: of a necklace, a. 477 00:24:09,160 --> 00:24:12,600 Speaker 4: Necklace or put it on your pocket. Here, eyes and 478 00:24:12,680 --> 00:24:16,639 Speaker 4: ears for your phone, AI cloud processing in order to 479 00:24:16,680 --> 00:24:19,320 Speaker 4: feed context into your phone and your iCloud account to 480 00:24:19,359 --> 00:24:21,959 Speaker 4: do AI tasks. Those are going to sell and those 481 00:24:22,000 --> 00:24:23,600 Speaker 4: are going to make money. And so Apple has a 482 00:24:23,680 --> 00:24:25,840 Speaker 4: proven business model there. The other thing is they have 483 00:24:25,920 --> 00:24:28,360 Speaker 4: this new serie AI, and what they've done is they 484 00:24:28,400 --> 00:24:32,879 Speaker 4: took their artificial intelligence models. Those are called AFM or 485 00:24:33,000 --> 00:24:37,480 Speaker 4: Apple Foundation models. That whole team just basically got blown 486 00:24:37,560 --> 00:24:39,600 Speaker 4: up over the last year. A bunch of them went 487 00:24:39,640 --> 00:24:42,520 Speaker 4: to Meta for fifty million dollars pay packages, but of 488 00:24:42,560 --> 00:24:46,720 Speaker 4: them went to Google, Anthropic, Microsoft, you name it. So 489 00:24:46,760 --> 00:24:49,800 Speaker 4: Apple opened up the hood of their models. They're paying 490 00:24:49,800 --> 00:24:52,919 Speaker 4: billions of dollars to Google to have redeveloped the underpinnings 491 00:24:52,920 --> 00:24:56,360 Speaker 4: of their models. And so now Siri, now Serri is competent. 492 00:24:56,520 --> 00:24:58,720 Speaker 2: Wait wait so this is I mean, this is one 493 00:24:58,720 --> 00:25:02,040 Speaker 2: of the iron new is that Apple was truly one 494 00:25:02,040 --> 00:25:06,199 Speaker 2: of the pioneers and talking to computers in plain language. 495 00:25:06,280 --> 00:25:09,080 Speaker 4: Well, they launched Siri. Yeah, they launched Siri. They launched 496 00:25:09,080 --> 00:25:12,080 Speaker 4: Siri in twenty eleven. And I was on another show 497 00:25:12,080 --> 00:25:14,479 Speaker 4: here the other day and the host was telling me 498 00:25:14,720 --> 00:25:16,880 Speaker 4: that he asked Siri, he's got the old series still, 499 00:25:16,880 --> 00:25:18,600 Speaker 4: when is the next FED meeting? I know you guys 500 00:25:18,640 --> 00:25:21,119 Speaker 4: like talking about that in series. Response was, there are 501 00:25:21,160 --> 00:25:24,280 Speaker 4: no FED meetings in your calendar. Okay, I have the 502 00:25:24,320 --> 00:25:26,680 Speaker 4: new serie AI. And so I said, when's the next 503 00:25:26,680 --> 00:25:28,920 Speaker 4: FED meeting? The next FED meeting? Gave me the date? 504 00:25:29,000 --> 00:25:32,640 Speaker 2: Wait, so sorry, what powers serie AIS intelligence? 505 00:25:33,000 --> 00:25:36,520 Speaker 4: Today? It's Apple foundation models that have been rebuilt with 506 00:25:36,560 --> 00:25:41,320 Speaker 4: Google underpinnings. It's Gemini Okay, okay, got it? 507 00:25:41,440 --> 00:25:45,479 Speaker 2: Okay? So and going forward, is the idea that Siri 508 00:25:46,000 --> 00:25:49,800 Speaker 2: will just be a Gemini skin as they would say, like, 509 00:25:49,920 --> 00:25:53,840 Speaker 2: is that s more sort of just from the language 510 00:25:53,920 --> 00:25:56,080 Speaker 2: sort of the way we all talk about AI today 511 00:25:56,200 --> 00:25:58,480 Speaker 2: is like a model whatever this thing you talk it's like. 512 00:25:58,400 --> 00:26:01,879 Speaker 4: A reskinned Gemini, okay, that has access to your personal data, 513 00:26:01,960 --> 00:26:05,120 Speaker 4: so you can ask it about your text messages, your photos, 514 00:26:05,119 --> 00:26:07,399 Speaker 4: your emails. It's actually pretty nifty. You know. One thing 515 00:26:07,440 --> 00:26:09,960 Speaker 4: I've been doing, people send me calendar appointments on my 516 00:26:10,040 --> 00:26:10,639 Speaker 4: work computer. 517 00:26:10,840 --> 00:26:11,040 Speaker 2: Yeh. 518 00:26:11,160 --> 00:26:13,280 Speaker 4: I take a picture of my work screen with the 519 00:26:13,280 --> 00:26:14,879 Speaker 4: phone and then it just adds it to my calendar 520 00:26:14,920 --> 00:26:18,480 Speaker 4: through Siri. So you know how many people have that 521 00:26:18,560 --> 00:26:20,800 Speaker 4: use case. I don't know, but it does work. It's 522 00:26:20,840 --> 00:26:26,920 Speaker 4: extremely competent. I would say, you guys know video editing software, Okay, 523 00:26:26,960 --> 00:26:29,960 Speaker 4: you know iMovie yah yeah, okay, so there's like imomovie 524 00:26:30,080 --> 00:26:32,760 Speaker 4: versus Final Cup Pro. Yeah yeah, all right, So before 525 00:26:32,840 --> 00:26:36,600 Speaker 4: Serie AI, Apple had nothing. Now they've got iMovie, chat 526 00:26:36,600 --> 00:26:37,920 Speaker 4: GPT's Final Cup Pro. 527 00:26:39,359 --> 00:26:39,840 Speaker 2: Got it. 528 00:26:40,000 --> 00:26:42,560 Speaker 4: They've got a competent product that ninety five percent of 529 00:26:42,600 --> 00:26:45,280 Speaker 4: the world can use. But they don't got that step 530 00:26:45,359 --> 00:26:50,080 Speaker 4: up which allows you to do hardcore research, documents, drafting, editing, 531 00:26:50,200 --> 00:26:53,120 Speaker 4: et cetera, travel planning. Everything you want to use chat 532 00:26:53,119 --> 00:26:55,000 Speaker 4: GPT for can't do all of it. 533 00:27:10,760 --> 00:27:13,240 Speaker 3: Well, let's talk about the price hikes, because this was 534 00:27:13,240 --> 00:27:16,240 Speaker 3: a pretty big sea change both for Apple the company 535 00:27:16,280 --> 00:27:20,600 Speaker 3: and I guess in a macroeconomic sense. Right, So we're 536 00:27:20,640 --> 00:27:23,840 Speaker 3: told that the increases are because of memory shortages and 537 00:27:23,880 --> 00:27:27,800 Speaker 3: component shortages and competing with the hyperscalers for all these things. 538 00:27:28,240 --> 00:27:31,439 Speaker 3: How much of that is true of it? Okay? 539 00:27:31,680 --> 00:27:34,679 Speaker 4: I think that the other component of this, uh, speaking 540 00:27:34,680 --> 00:27:38,520 Speaker 4: of components, is that inflation real thing will last you know, 541 00:27:38,600 --> 00:27:42,200 Speaker 4: five seven years. Apple product prices really have not increased 542 00:27:42,240 --> 00:27:45,440 Speaker 4: over that time as other components got expensive, and as 543 00:27:45,520 --> 00:27:48,679 Speaker 4: you know, inflation has gone up. And so I'm not 544 00:27:48,720 --> 00:27:50,560 Speaker 4: one of those people who think this is a conspiracy 545 00:27:50,560 --> 00:27:53,600 Speaker 4: theory to finally, you know, raise prices in blame memory. 546 00:27:53,800 --> 00:27:55,760 Speaker 4: Memory is a real thing. If you look at the 547 00:27:55,840 --> 00:27:58,879 Speaker 4: price adjustments that they've made, it is entirely in line 548 00:27:59,200 --> 00:28:01,119 Speaker 4: with how much more they're paying for memory on a 549 00:28:01,119 --> 00:28:04,080 Speaker 4: product by product basis. For instance, the vision pro went 550 00:28:04,160 --> 00:28:07,600 Speaker 4: up by two hundred dollars, right six percent. Nobody's buying 551 00:28:07,600 --> 00:28:09,760 Speaker 4: the vision Pro. They're not going to do anything to 552 00:28:09,800 --> 00:28:12,959 Speaker 4: lose one percent of their margin. And so they probably 553 00:28:12,960 --> 00:28:15,680 Speaker 4: set date in the calendar several months ago and they said, 554 00:28:15,960 --> 00:28:18,080 Speaker 4: we're going to use our cash balance or whatever. We're 555 00:28:18,080 --> 00:28:20,600 Speaker 4: going to use our margins to eat the additional cost 556 00:28:20,600 --> 00:28:23,760 Speaker 4: and memory up until this date. The date hit they 557 00:28:23,760 --> 00:28:25,840 Speaker 4: flipped the switch, they did the price sikes, and you'll 558 00:28:25,840 --> 00:28:27,679 Speaker 4: see them do more price sikes in September for these 559 00:28:27,720 --> 00:28:28,200 Speaker 4: new phones. 560 00:28:28,960 --> 00:28:31,440 Speaker 2: It just occurs to me, just on the AI component, 561 00:28:31,640 --> 00:28:36,080 Speaker 2: It's like, you see these huge budgets that the Alphabets 562 00:28:36,080 --> 00:28:39,200 Speaker 2: and the Amazons and the Microsofts of the world are spending. 563 00:28:39,640 --> 00:28:43,680 Speaker 2: If there's one company that knows about why don't we 564 00:28:43,800 --> 00:28:47,320 Speaker 2: let someone else do the big capital expenditures, it's Apple. 565 00:28:47,400 --> 00:28:48,080 Speaker 4: That's what they're doing. 566 00:28:48,120 --> 00:28:51,640 Speaker 2: This is their but their core history from partnering with 567 00:28:51,720 --> 00:28:55,480 Speaker 2: fox Con is essentially, you know, there's this really expensive 568 00:28:55,560 --> 00:28:58,920 Speaker 2: aspect of the process where it's very physical. Let's just 569 00:28:58,920 --> 00:29:02,920 Speaker 2: get another company to do the really high capital expenditure. 570 00:29:02,960 --> 00:29:05,480 Speaker 4: You're spot on. It's straight out of that playbook. But 571 00:29:05,560 --> 00:29:09,320 Speaker 4: AI is pretty darn fundamental, and I think eventually they're 572 00:29:09,320 --> 00:29:12,000 Speaker 4: going to have to rebuild that AI research team and 573 00:29:12,040 --> 00:29:14,400 Speaker 4: spend the money to rebuild AI. Now I'm saying you 574 00:29:14,440 --> 00:29:19,160 Speaker 4: can do it without those hyperscaler expenses. Apple never wanted this. 575 00:29:19,320 --> 00:29:21,760 Speaker 4: Apple's vision for AI and they talked about this two 576 00:29:21,800 --> 00:29:25,040 Speaker 4: years ago. Was on device model processing. It was about 577 00:29:25,120 --> 00:29:28,000 Speaker 4: using Apple Mac chips in the cloud, not this whole 578 00:29:28,040 --> 00:29:31,280 Speaker 4: hyperscalar situation within video that you're seeing from Openingianthropic, Google, 579 00:29:31,320 --> 00:29:33,960 Speaker 4: you name it. And so the irony here is that 580 00:29:34,320 --> 00:29:36,520 Speaker 4: this is not a world that Apple was trying to push. 581 00:29:36,880 --> 00:29:38,800 Speaker 4: They want it all on the phone. And I think 582 00:29:38,800 --> 00:29:40,920 Speaker 4: eventually these lms are going to be able to shrink 583 00:29:40,920 --> 00:29:42,440 Speaker 4: to the point where you can put them on the phone. 584 00:29:42,760 --> 00:29:44,600 Speaker 4: But for right now, cloud is the game in town 585 00:29:44,680 --> 00:29:46,880 Speaker 4: to make better artificial intelligence. 586 00:29:47,040 --> 00:29:49,600 Speaker 3: And do they have other options for getting chips and components. 587 00:29:49,640 --> 00:29:51,560 Speaker 3: I know they've been trying to source out of China, 588 00:29:51,640 --> 00:29:52,240 Speaker 3: for instance. 589 00:29:52,600 --> 00:29:58,360 Speaker 4: So they are testing memory from CXMT and YMTC. Those 590 00:29:58,400 --> 00:30:01,800 Speaker 4: are two Chinese memory providers. There's actually that you can 591 00:30:01,840 --> 00:30:05,840 Speaker 4: count on your fingers, that's the number of memory suppliers 592 00:30:05,880 --> 00:30:07,920 Speaker 4: there are in the world. There's about five. Right, You've 593 00:30:07,920 --> 00:30:12,600 Speaker 4: got Micron, sk Heinix, Samsung and the two Chinese companies 594 00:30:12,600 --> 00:30:14,320 Speaker 4: I named. Did they already use the other three, the 595 00:30:14,400 --> 00:30:16,920 Speaker 4: Korean one and the American ones. They're gonna do this, 596 00:30:17,080 --> 00:30:19,160 Speaker 4: Like I'm convinced that they're going to start using Chinese 597 00:30:19,200 --> 00:30:22,840 Speaker 4: memory instead of Chinese iPhone skews. Apple already has a 598 00:30:22,920 --> 00:30:26,160 Speaker 4: unique skew for China, So being able to you know, 599 00:30:26,200 --> 00:30:28,160 Speaker 4: add the Chinese memory into that and carve that out 600 00:30:28,240 --> 00:30:29,920 Speaker 4: I think is not that big of a lift from 601 00:30:29,920 --> 00:30:33,000 Speaker 4: an operational standpoint. The bigger issue for them will be 602 00:30:33,040 --> 00:30:36,320 Speaker 4: the pr campaigns for Micron and Korea, you know, trying 603 00:30:36,360 --> 00:30:38,360 Speaker 4: to make Apple look bad for using Chinese memory. If 604 00:30:38,360 --> 00:30:40,720 Speaker 4: you're using Chinese memory and Chinese phones, I think people 605 00:30:40,760 --> 00:30:42,800 Speaker 4: in China know the deal there. I'm not really sure 606 00:30:42,840 --> 00:30:44,400 Speaker 4: why it's the problem of any other country. 607 00:30:44,960 --> 00:30:48,120 Speaker 2: If Siri is re skinned Gemini. 608 00:30:48,080 --> 00:30:49,080 Speaker 4: It's a little bit more than that. 609 00:30:49,120 --> 00:30:53,000 Speaker 2: Yeah, Okay, does that create issues for China in terms 610 00:30:53,000 --> 00:30:55,280 Speaker 2: of like using Siri in China? 611 00:30:55,760 --> 00:30:57,040 Speaker 4: And they do? 612 00:30:57,120 --> 00:30:59,000 Speaker 2: They are they going to have to use like deep 613 00:30:59,040 --> 00:31:01,040 Speaker 2: seek or something like that for the Chinese use. How 614 00:31:01,040 --> 00:31:01,800 Speaker 2: are they handling that? 615 00:31:01,960 --> 00:31:04,800 Speaker 4: Okay? And this is actually a timely question because earlier 616 00:31:04,800 --> 00:31:07,240 Speaker 4: this week, after a two year delay, Apple finally got 617 00:31:07,400 --> 00:31:10,440 Speaker 4: Chinese government approval to launch Siri in China. Now we're 618 00:31:10,440 --> 00:31:12,760 Speaker 4: talking about the old school Sirie, not the new SERIII. 619 00:31:13,320 --> 00:31:16,280 Speaker 4: But here's what they've done. So there's basically two components 620 00:31:16,320 --> 00:31:18,320 Speaker 4: to Siri that you can break down. You've got the 621 00:31:18,360 --> 00:31:22,120 Speaker 4: Apple models and then you have integration with Google and 622 00:31:22,160 --> 00:31:24,680 Speaker 4: you have integration with open Ai. That's the situation in 623 00:31:24,720 --> 00:31:28,000 Speaker 4: the United States. And so in China you've got Apple 624 00:31:28,040 --> 00:31:32,080 Speaker 4: models and then the outside partners by Do, they're the 625 00:31:32,120 --> 00:31:35,360 Speaker 4: big Google equivalent for search, and so that makes sense 626 00:31:35,360 --> 00:31:37,720 Speaker 4: to have them instead of open Ai in China, which 627 00:31:37,760 --> 00:31:41,120 Speaker 4: both don't work in the region. But there's also one 628 00:31:41,200 --> 00:31:43,600 Speaker 4: other player. It's a company you may have heard of 629 00:31:43,600 --> 00:31:46,360 Speaker 4: called Ali Baba. And so what Apple's doing with Ali 630 00:31:46,400 --> 00:31:49,400 Speaker 4: Baba is They've got Ali Baba models in the system 631 00:31:50,000 --> 00:31:54,000 Speaker 4: and it serves as what I call a censorship engine. 632 00:31:54,160 --> 00:31:58,280 Speaker 4: And this censorship engine is constantly calling back between Apple 633 00:31:58,440 --> 00:32:03,360 Speaker 4: and the Chinese government, getting Chinese government approval on updates 634 00:32:03,400 --> 00:32:04,880 Speaker 4: to the models on the phone. 635 00:32:05,280 --> 00:32:09,240 Speaker 3: Yeah, because the censorship announcements like get updated really really quickly, right, 636 00:32:09,560 --> 00:32:13,360 Speaker 3: like keywords are now problematic that weren't five minutes ago. 637 00:32:13,640 --> 00:32:17,920 Speaker 2: But that model from Ali Baba is essentially way of 638 00:32:18,080 --> 00:32:22,200 Speaker 2: keeping the by Do model in check and. 639 00:32:22,240 --> 00:32:25,000 Speaker 4: The Apple model okay, and the Apple model. But yes, 640 00:32:25,160 --> 00:32:28,960 Speaker 4: that is what's there to do is is a censorship engine. 641 00:32:29,000 --> 00:32:29,720 Speaker 4: Isn't that crazy. 642 00:32:30,280 --> 00:32:32,200 Speaker 2: Yeah, it's models on top of models. 643 00:32:32,320 --> 00:32:32,520 Speaker 4: Yeah. 644 00:32:32,560 --> 00:32:33,040 Speaker 3: Models all. 645 00:32:33,320 --> 00:32:36,320 Speaker 4: Well, that's the ultimate vision for Apple Intelligence and for 646 00:32:36,440 --> 00:32:40,120 Speaker 4: Siri is to make the model interchangeable. Now we haven't 647 00:32:40,120 --> 00:32:42,960 Speaker 4: even talked about this big war between Apple and Open Ai. Yeah, 648 00:32:43,200 --> 00:32:46,120 Speaker 4: but the phone, as you know it has Chat GPT 649 00:32:46,240 --> 00:32:49,840 Speaker 4: baked in as a serie extension. Basically, if you ask 650 00:32:50,000 --> 00:32:53,760 Speaker 4: Siri something that Siri doesn't know the answer to, it'll 651 00:32:53,800 --> 00:32:56,720 Speaker 4: fall back to Chat GIPT and grab the answer from there. 652 00:32:57,600 --> 00:33:00,920 Speaker 4: With the new SerII, it's going to know the answer 653 00:33:00,920 --> 00:33:03,520 Speaker 4: to basically everything you ask. You don't really need Chat Gypt. 654 00:33:04,120 --> 00:33:07,000 Speaker 4: These current iOS twenty seven betas have Chat Gypt still 655 00:33:07,040 --> 00:33:09,480 Speaker 4: as part of that system. But the ultimate goal, and 656 00:33:09,520 --> 00:33:11,800 Speaker 4: I think this is going to happen more quickly because 657 00:33:11,800 --> 00:33:15,160 Speaker 4: of the lawsuit. Apple's going to pull the Chat GPT 658 00:33:15,280 --> 00:33:18,120 Speaker 4: exclusivity in my opinion, and they're going to allow you 659 00:33:18,160 --> 00:33:23,440 Speaker 4: to install any third party LM onto your phone to 660 00:33:23,520 --> 00:33:24,160 Speaker 4: use through Siri. 661 00:33:24,440 --> 00:33:24,920 Speaker 2: Interesting. 662 00:33:25,720 --> 00:33:28,680 Speaker 3: Wait, okay, talk to us about the lawsuit because this 663 00:33:28,720 --> 00:33:30,920 Speaker 3: seems important, seems traumatic. 664 00:33:31,760 --> 00:33:35,320 Speaker 4: Two years ago, three years ago, Dude named tank Tan 665 00:33:36,080 --> 00:33:42,800 Speaker 4: vice president of iPhone product Design, Apple Watch, product Design, AirPods, Acoustics, successories, 666 00:33:42,880 --> 00:33:45,840 Speaker 4: all sorts of stuff. One of the most senior executives 667 00:33:45,880 --> 00:33:49,680 Speaker 4: at Apple and by all accounts the number two under 668 00:33:49,760 --> 00:33:53,240 Speaker 4: John Turnas and the hardware engineering organization comes to Turnus, 669 00:33:53,280 --> 00:33:55,480 Speaker 4: comes to Apple it he says, I'm out of here. 670 00:33:55,720 --> 00:33:59,000 Speaker 4: I'm going with startup. This is early December of twenty three. 671 00:34:00,480 --> 00:34:03,960 Speaker 4: They're like, okay, well, you have your tentacles tied up 672 00:34:04,000 --> 00:34:06,400 Speaker 4: in so many different areas. You can't leave immediately. So 673 00:34:06,440 --> 00:34:08,560 Speaker 4: they're like, okay, stick around till February. So he sticks 674 00:34:08,560 --> 00:34:10,840 Speaker 4: around till February. But in behind the scenes he's already 675 00:34:10,840 --> 00:34:14,080 Speaker 4: cooking up a new AI devices company with Johnny Ive, 676 00:34:14,120 --> 00:34:17,479 Speaker 4: the former Apple design chief, and Sam Altman, who runs 677 00:34:17,520 --> 00:34:20,520 Speaker 4: open Ai obviously at the time still does, and their 678 00:34:20,560 --> 00:34:23,719 Speaker 4: whole goal is to create a new range of devices 679 00:34:23,800 --> 00:34:27,560 Speaker 4: that will destroy the iPhone, combining the engineering and design 680 00:34:27,640 --> 00:34:29,600 Speaker 4: prowess of some of the best people who used to 681 00:34:29,600 --> 00:34:32,360 Speaker 4: work at Apple with what at the time was widely 682 00:34:32,400 --> 00:34:37,640 Speaker 4: considered the best AI lethal Combo and Tang Tan has 683 00:34:37,680 --> 00:34:40,719 Speaker 4: been hiring over the last year two years an exceptional 684 00:34:40,800 --> 00:34:44,200 Speaker 4: number of people from Apple. They've pillaged Apple's hardware engineering ranks. 685 00:34:44,360 --> 00:34:47,040 Speaker 4: They have four hundred former Apple employees in their hardware 686 00:34:47,040 --> 00:34:49,840 Speaker 4: division at Open Air right now, My guess that's between 687 00:34:49,840 --> 00:34:53,080 Speaker 4: five and eight percent of the total open employee pool 688 00:34:53,320 --> 00:34:57,840 Speaker 4: is a former Apple employee. Kind of nuts, okay. Apple 689 00:34:58,000 --> 00:35:00,880 Speaker 4: has been beside itself for two years about this, the hiring, 690 00:35:01,000 --> 00:35:03,200 Speaker 4: the poaching, the fact that they're trying to compete with 691 00:35:03,239 --> 00:35:06,160 Speaker 4: them using their best former people. Nothing you could really 692 00:35:06,200 --> 00:35:08,720 Speaker 4: do about it. Reverse the beginning of this year, Apple 693 00:35:08,760 --> 00:35:10,880 Speaker 4: finally had what they think is a smoking gun, an 694 00:35:10,960 --> 00:35:15,040 Speaker 4: engineer named Changlu. He allegedly breaks into Apple servers and 695 00:35:15,200 --> 00:35:18,480 Speaker 4: steals engineering presentations and such and gives them to Open AI. 696 00:35:19,000 --> 00:35:21,720 Speaker 4: And so Apple begins building a big case against Changlu 697 00:35:21,960 --> 00:35:26,120 Speaker 4: and Tang Tan, who they allege was bringing Apple employees 698 00:35:26,400 --> 00:35:29,839 Speaker 4: into open A offices with prospective job offers and asking 699 00:35:29,880 --> 00:35:32,000 Speaker 4: them to bring in Apple prototypes and other internal Apple 700 00:35:32,000 --> 00:35:34,879 Speaker 4: equipment to give them a look at what's coming down 701 00:35:34,920 --> 00:35:35,239 Speaker 4: the road. 702 00:35:35,680 --> 00:35:38,399 Speaker 3: What's the open AI's defence here, because when you read 703 00:35:38,440 --> 00:35:39,600 Speaker 3: the complaint. 704 00:35:39,400 --> 00:35:45,040 Speaker 4: It seems here's my take overall, the complaint is very thin, 705 00:35:45,200 --> 00:35:49,160 Speaker 4: really very thin. The stuff about Tang Tan very thin. 706 00:35:50,000 --> 00:35:52,960 Speaker 4: A lot of that is common practice in Silicon Valley 707 00:35:52,960 --> 00:35:56,680 Speaker 4: for recruiting and meetings with employees that they've drummed up 708 00:35:56,680 --> 00:36:00,360 Speaker 4: into a Netflix special. That's my take. The chang Lu stuff, 709 00:36:00,400 --> 00:36:02,840 Speaker 4: if true, is extremely serious and he's in trouble and 710 00:36:02,840 --> 00:36:06,080 Speaker 4: that's a big problem. Okay, So that is the delineation there. 711 00:36:06,080 --> 00:36:09,120 Speaker 4: Advice I say in terms of the recruiting and pillaging 712 00:36:09,160 --> 00:36:12,160 Speaker 4: apples harder engineering ranks. I don't know how kosher that is. 713 00:36:12,239 --> 00:36:14,919 Speaker 4: I'm sure there were some you know, funky stuff going on. 714 00:36:14,920 --> 00:36:18,719 Speaker 2: That strikes me as just business in California's business in California. 715 00:36:18,800 --> 00:36:20,880 Speaker 4: But we'll see where this lands. But the one thing 716 00:36:20,920 --> 00:36:23,120 Speaker 4: I'll say is if you read the Apple complaint, they 717 00:36:23,160 --> 00:36:25,000 Speaker 4: say so many times in that complaint we need to 718 00:36:25,040 --> 00:36:26,759 Speaker 4: do discovery to know what's going on. 719 00:36:27,320 --> 00:36:30,640 Speaker 2: This is a good say too, like the new form 720 00:36:30,719 --> 00:36:34,360 Speaker 2: factors that we might expect for gadget and there the 721 00:36:34,719 --> 00:36:38,760 Speaker 2: Google glasses like fifteen years ago and people hated them. 722 00:36:39,080 --> 00:36:40,239 Speaker 3: And people still hate them. 723 00:36:40,680 --> 00:36:43,760 Speaker 2: My old colleague and business insider, he like got beaten 724 00:36:43,840 --> 00:36:48,239 Speaker 2: up or like got yeah remember that story in California. 725 00:36:47,680 --> 00:36:49,480 Speaker 4: Because someone tried wanted to steal them. 726 00:36:49,560 --> 00:36:52,279 Speaker 2: No, he was wearing the Google glasses and people found it. 727 00:36:52,360 --> 00:36:54,920 Speaker 2: You know, it was just like very upset about people 728 00:36:55,000 --> 00:36:55,680 Speaker 2: really hate. 729 00:36:55,680 --> 00:36:58,919 Speaker 4: Yeah because of the recording yeah everything, Well, Apple has 730 00:36:58,960 --> 00:37:01,560 Speaker 4: a high bar to us there because their next big 731 00:37:01,600 --> 00:37:02,360 Speaker 4: thing is glasses. 732 00:37:02,440 --> 00:37:03,920 Speaker 2: So this is what I'm getting at, And there's a 733 00:37:03,960 --> 00:37:06,880 Speaker 2: lot of interest in this, and we know that Meta 734 00:37:06,960 --> 00:37:10,760 Speaker 2: obviously is like really pushing on this hard et cetera, 735 00:37:11,280 --> 00:37:15,360 Speaker 2: setting aside like market demand for some of these new 736 00:37:15,480 --> 00:37:18,720 Speaker 2: form factors. It feels to me like we are very 737 00:37:18,719 --> 00:37:23,879 Speaker 2: close to crossing a deeply uncomfortable cultural threshold with all 738 00:37:23,920 --> 00:37:26,880 Speaker 2: of this stuff, where it's like people do not want 739 00:37:27,000 --> 00:37:29,560 Speaker 2: you know, if you had a little pendant on in 740 00:37:29,600 --> 00:37:33,719 Speaker 2: your pocket, Yeah, your body can like right now recording 741 00:37:33,840 --> 00:37:35,799 Speaker 2: this and it's like, oh yeah, I have the like 742 00:37:36,040 --> 00:37:39,759 Speaker 2: people would be very uneasy. But yeah, they say the. 743 00:37:39,800 --> 00:37:41,399 Speaker 4: Least, there's a high bar, we think. 744 00:37:41,440 --> 00:37:43,880 Speaker 2: So when we think about the range of like quote 745 00:37:43,920 --> 00:37:48,680 Speaker 2: AI gadgets, setting aside even pure market demand, are we 746 00:37:48,760 --> 00:37:51,080 Speaker 2: going to be in this era where like we're really 747 00:37:51,080 --> 00:37:53,720 Speaker 2: going to have to like have some serious cultural fights 748 00:37:54,040 --> 00:37:57,920 Speaker 2: about what's acceptable for people to have on their person 749 00:37:57,960 --> 00:37:58,759 Speaker 2: at any given time. 750 00:37:58,920 --> 00:38:01,719 Speaker 4: I walked into a family member's house a couple of 751 00:38:01,719 --> 00:38:04,880 Speaker 4: weeks ago, I got the new Meta glasses for review 752 00:38:05,840 --> 00:38:09,000 Speaker 4: and They were very upset that I walked in with 753 00:38:09,200 --> 00:38:14,000 Speaker 4: the meta glasses, thinking that I'm recording them, right, and 754 00:38:14,040 --> 00:38:16,000 Speaker 4: how are they supposed to know I could be recording them. 755 00:38:16,000 --> 00:38:17,959 Speaker 4: I wasn't. I assured them of such. 756 00:38:18,160 --> 00:38:19,759 Speaker 3: But people like jail break the light. 757 00:38:20,080 --> 00:38:23,440 Speaker 4: Yes, it's it's uncomfortable, you know. They are people who, yeah, 758 00:38:24,040 --> 00:38:25,879 Speaker 4: use a black sharpie to cut out the light. 759 00:38:26,040 --> 00:38:29,279 Speaker 2: And if they and someone will sell a phone from 760 00:38:29,320 --> 00:38:32,799 Speaker 2: China that doesn't have any light or any outward India, 761 00:38:33,120 --> 00:38:36,719 Speaker 2: it's uncomfortable being looking like they will look. There's no doubt. 762 00:38:36,760 --> 00:38:40,040 Speaker 2: It's the short term. There will be glasses that are 763 00:38:40,239 --> 00:38:42,440 Speaker 2: absolutely indistinguishable from the normal glasses. 764 00:38:42,560 --> 00:38:44,800 Speaker 4: Yes, and then metas talking about what they call the 765 00:38:44,840 --> 00:38:48,080 Speaker 4: super sense glasses right now, which are recording at all 766 00:38:48,120 --> 00:38:51,239 Speaker 4: times versus the current ones where they record as you 767 00:38:51,280 --> 00:38:54,000 Speaker 4: snap or ask it to record. Yeah, I don't know. 768 00:38:55,360 --> 00:38:56,120 Speaker 4: From Apple, No. 769 00:38:56,200 --> 00:38:58,680 Speaker 2: From all there are gonna be a lot of these products. 770 00:38:58,960 --> 00:39:00,319 Speaker 4: You've got new ones on. 771 00:39:00,560 --> 00:39:02,880 Speaker 2: We will not know. We will have no idea who's 772 00:39:02,960 --> 00:39:04,320 Speaker 2: recording what's going well. 773 00:39:04,160 --> 00:39:06,759 Speaker 4: You know, Amazon's got new ones coming, Apple's got new 774 00:39:06,760 --> 00:39:10,080 Speaker 4: ones coming or their first ones coming. Google is working 775 00:39:10,120 --> 00:39:13,560 Speaker 4: on this, Samsung is about to launch theirs. Everyone's doing this, 776 00:39:13,760 --> 00:39:16,600 Speaker 4: and so you know, Meta has a lot of privacy 777 00:39:16,600 --> 00:39:19,880 Speaker 4: baggage and they've sort of, you know, soiled the market 778 00:39:20,040 --> 00:39:22,399 Speaker 4: for Apple and these other players ahead of time by 779 00:39:22,440 --> 00:39:25,080 Speaker 4: making people uncomfortable with this stuff. And I think Meta 780 00:39:25,160 --> 00:39:27,279 Speaker 4: gets a little bit too hard of a time, right. 781 00:39:27,320 --> 00:39:29,480 Speaker 4: I think people go a little bit harder on Meta 782 00:39:29,520 --> 00:39:32,880 Speaker 4: than they should. But there are serious privacy questions that 783 00:39:32,920 --> 00:39:35,400 Speaker 4: are being raised here, serious privacy questions that are being 784 00:39:35,480 --> 00:39:37,839 Speaker 4: raised here. And it's going to be a very high 785 00:39:37,880 --> 00:39:40,320 Speaker 4: bar for Apple to meet this moment and get people 786 00:39:40,760 --> 00:39:42,719 Speaker 4: using these things despite those concerns. 787 00:39:43,040 --> 00:39:45,640 Speaker 3: All right, Well, other than the glasses that everyone seems 788 00:39:45,680 --> 00:39:47,800 Speaker 3: to hate, talk to us about what we should actually 789 00:39:47,800 --> 00:39:50,120 Speaker 3: be saving up our money for. I guess in terms 790 00:39:50,120 --> 00:39:51,520 Speaker 3: of new product launches. 791 00:39:51,280 --> 00:39:54,080 Speaker 4: Yeah, well, this foldable phone, the Ultra is going to 792 00:39:54,160 --> 00:39:57,480 Speaker 4: be really fantastic. Open it up. It's like an iPad Mini. 793 00:39:57,680 --> 00:39:59,759 Speaker 4: Pretty excited about it. You know, it's not going to 794 00:39:59,760 --> 00:40:02,759 Speaker 4: be as durable or priced as well as like a 795 00:40:02,760 --> 00:40:04,680 Speaker 4: prophone or the one of the low end phones, but 796 00:40:04,760 --> 00:40:06,520 Speaker 4: I think it's going to be pretty exciting. I think 797 00:40:06,560 --> 00:40:09,000 Speaker 4: the AirPods, the pendant, the smart glasses are going to 798 00:40:09,000 --> 00:40:11,799 Speaker 4: be very exciting the smart home. So they're coming out 799 00:40:11,800 --> 00:40:13,920 Speaker 4: with three different smart home products, but one is an 800 00:40:13,920 --> 00:40:16,880 Speaker 4: in home security camera system tied to a new Apple 801 00:40:16,960 --> 00:40:18,880 Speaker 4: security system. I think they want to compete in some 802 00:40:18,960 --> 00:40:22,440 Speaker 4: fashion with ADT or some of the home security companies. 803 00:40:22,680 --> 00:40:25,640 Speaker 4: There's a Landmark smart home device, which you know, you 804 00:40:25,640 --> 00:40:28,000 Speaker 4: can put on your desk, put on your wall, and 805 00:40:28,040 --> 00:40:29,839 Speaker 4: you can walk up to it and it'll know who 806 00:40:29,920 --> 00:40:33,080 Speaker 4: it is. It'll basically bring Serie AI to life, pull 807 00:40:33,160 --> 00:40:35,319 Speaker 4: up your music, you can do video conferencing, you can 808 00:40:35,360 --> 00:40:38,359 Speaker 4: do apps, smart home appliances, etc. It's like a smart 809 00:40:38,360 --> 00:40:41,520 Speaker 4: home command center. And then there's another device. It's a 810 00:40:41,640 --> 00:40:43,719 Speaker 4: robotic version. So the one I just describe has a 811 00:40:43,719 --> 00:40:46,280 Speaker 4: seven inch screen. Then there's a nine inch screen version 812 00:40:46,600 --> 00:40:48,160 Speaker 4: and it's going to be on a robotic arm so 813 00:40:48,200 --> 00:40:50,279 Speaker 4: it can move around on your desk so you can 814 00:40:50,320 --> 00:40:52,719 Speaker 4: look at it, you can point it to look at 815 00:40:52,719 --> 00:40:55,080 Speaker 4: people on a video conference. It's kind of nifty. I 816 00:40:55,120 --> 00:40:57,160 Speaker 4: don't know how well that's going to do, but you 817 00:40:57,200 --> 00:41:00,440 Speaker 4: know what. They're trying things at least. And then tons 818 00:41:00,480 --> 00:41:05,960 Speaker 4: of new Macs, new MacBook NEOs, new Imax augmented reality glasses. 819 00:41:06,080 --> 00:41:09,280 Speaker 4: Is the Biggie probably end of decade, early next decade, 820 00:41:09,520 --> 00:41:13,000 Speaker 4: taking the glasses but being able to give you information. A. 821 00:41:13,760 --> 00:41:15,759 Speaker 2: Yeah, I was gonna say, so, you know people are 822 00:41:15,760 --> 00:41:18,719 Speaker 2: talking about AR ten years ago, fifteen years ago and 823 00:41:19,000 --> 00:41:21,960 Speaker 2: hadn't taken off. What is it going to be different 824 00:41:22,560 --> 00:41:26,279 Speaker 2: that it's like, Okay, now people actually like AR and 825 00:41:26,280 --> 00:41:27,120 Speaker 2: find use for it. 826 00:41:27,120 --> 00:41:29,600 Speaker 4: It's the visual fidelity, okay, it's the quality. Have you 827 00:41:29,680 --> 00:41:33,200 Speaker 4: used the vision Pro no? Okay, So if you use 828 00:41:33,239 --> 00:41:35,560 Speaker 4: the vision Pro, I would encourage you to borrow mine 829 00:41:35,640 --> 00:41:37,640 Speaker 4: or you can go to an Apple store. The visual 830 00:41:37,719 --> 00:41:40,680 Speaker 4: quality is amazing. It's the best movie watching experience once 831 00:41:40,760 --> 00:41:42,080 Speaker 4: your eyes see that quality. 832 00:41:42,280 --> 00:41:45,840 Speaker 2: Oh there, these are the glass A. Yeah, yeah, I 833 00:41:45,880 --> 00:41:49,200 Speaker 2: saw someone say recently they watched it in cane on 834 00:41:49,239 --> 00:41:49,839 Speaker 2: their Vision Pro. 835 00:41:49,880 --> 00:41:50,360 Speaker 4: It's amazing. 836 00:41:50,360 --> 00:41:50,880 Speaker 2: It's amazing. 837 00:41:50,960 --> 00:41:53,719 Speaker 4: Yeah, it's amazing. Anyways, it's a. 838 00:41:53,680 --> 00:41:56,880 Speaker 2: Better experience than watching a big screen TV on your couch. 839 00:41:56,680 --> 00:41:58,920 Speaker 3: If you don't have a family, if you Yeah, I 840 00:41:59,000 --> 00:42:01,680 Speaker 3: find something so just topian about like two people sitting 841 00:42:01,680 --> 00:42:03,440 Speaker 3: on a couch with their glasses on, and. 842 00:42:03,480 --> 00:42:05,680 Speaker 4: They have marketing around that, like and they're trying to 843 00:42:05,719 --> 00:42:08,000 Speaker 4: make two people bring a vision Pro have better interactivity 844 00:42:08,200 --> 00:42:08,960 Speaker 4: I think it's crazy. 845 00:42:08,960 --> 00:42:10,960 Speaker 3: I guess you can hold hands. 846 00:42:11,080 --> 00:42:15,239 Speaker 4: But long story short, the glasses of ten years ago, 847 00:42:15,280 --> 00:42:19,319 Speaker 4: when even today the ar glasses, the visual quality is garbage, right, 848 00:42:19,400 --> 00:42:22,399 Speaker 4: you can hardly see what's going on. Apple. Their goal 849 00:42:22,440 --> 00:42:24,560 Speaker 4: is to make a leap frog aur products. They're not 850 00:42:24,600 --> 00:42:26,919 Speaker 4: gonna get anywhere near the vision pro quality, but they're 851 00:42:26,920 --> 00:42:29,320 Speaker 4: gonna get to a you know, a high quality place. 852 00:42:29,960 --> 00:42:32,399 Speaker 2: Okay, So the next three years anything else. So it's 853 00:42:32,400 --> 00:42:33,440 Speaker 2: like foldable phones. 854 00:42:33,600 --> 00:42:36,360 Speaker 4: So we'll start off with the foldable phone and the 855 00:42:36,400 --> 00:42:39,160 Speaker 4: eighteen pro and pro Max. This fall, you're gonna get 856 00:42:39,160 --> 00:42:40,400 Speaker 4: a new oled iPad Mini. 857 00:42:41,280 --> 00:42:42,880 Speaker 3: I was gonna ask. No one even cares about the 858 00:42:43,280 --> 00:42:46,239 Speaker 3: new iPad Mini. It doesn't mention until now. Yeah, that's 859 00:42:46,280 --> 00:42:47,200 Speaker 3: what I'm excited about. 860 00:42:48,200 --> 00:42:49,799 Speaker 4: I wrote a story about it today. So you're gonna 861 00:42:49,840 --> 00:42:53,120 Speaker 4: get a new old display, so same visual clarity that 862 00:42:53,160 --> 00:42:55,200 Speaker 4: you get on an iPhone. The current ip admitte is 863 00:42:55,200 --> 00:42:58,239 Speaker 4: stuck on an old LCD. Next year, you're gonna get 864 00:42:58,600 --> 00:43:00,920 Speaker 4: some of the wearables, so you're gonna get that foldable 865 00:43:01,520 --> 00:43:03,600 Speaker 4: phone two actually in the fall, but you're also going 866 00:43:03,680 --> 00:43:06,279 Speaker 4: to get the AirPods with cameras, and you're going to 867 00:43:06,320 --> 00:43:08,759 Speaker 4: get the smart glasses. And then the other big one 868 00:43:08,760 --> 00:43:11,920 Speaker 4: next year is the twentieth anniversary iPhone, the iPhone twenty 869 00:43:12,200 --> 00:43:14,200 Speaker 4: or the iPhone xx, whatever you want to call it, 870 00:43:14,640 --> 00:43:17,200 Speaker 4: and that is going to be an all glass phone 871 00:43:17,600 --> 00:43:20,280 Speaker 4: that meshes well with the liquid glass. The new software 872 00:43:20,280 --> 00:43:22,880 Speaker 4: they rolled out last year and updated this year. The 873 00:43:22,960 --> 00:43:24,520 Speaker 4: year after that, you're going to get things like the 874 00:43:24,520 --> 00:43:28,239 Speaker 4: tabletop robot. I talked about the smart home appliances and 875 00:43:28,280 --> 00:43:31,320 Speaker 4: what have you. So it's a big next three years 876 00:43:31,360 --> 00:43:34,680 Speaker 4: for Apple and augmented reality glasses. Behind that, they've been 877 00:43:34,680 --> 00:43:38,400 Speaker 4: playing with this big tablet, foldable tablet, foldable iPad with 878 00:43:38,440 --> 00:43:41,600 Speaker 4: a twenty inm screen, and then that main smart home device. 879 00:43:41,640 --> 00:43:44,239 Speaker 4: I talked about the smart home hub that'll be in 880 00:43:44,280 --> 00:43:47,080 Speaker 4: the next few months. So that's an exciting one. 881 00:43:47,320 --> 00:43:49,600 Speaker 2: Mark German, thank you so much for coming on odd Lawns. 882 00:43:49,640 --> 00:43:51,480 Speaker 2: That was great. Oh quite a bit good. 883 00:43:51,560 --> 00:43:52,840 Speaker 4: Thanks for having me. This is awesome. 884 00:44:05,440 --> 00:44:07,880 Speaker 2: So Tracy, I thought that was very interesting. I needed 885 00:44:07,880 --> 00:44:11,319 Speaker 2: that catch up on this company that once like occupied 886 00:44:11,400 --> 00:44:13,040 Speaker 2: a little bit of my mind share, and now I 887 00:44:13,080 --> 00:44:15,800 Speaker 2: hardly ever think at all. I do think it's interesting, 888 00:44:15,960 --> 00:44:19,120 Speaker 2: like as a starting point for all of the like 889 00:44:19,480 --> 00:44:22,600 Speaker 2: they're not the best phones in the world, especially when 890 00:44:22,640 --> 00:44:25,720 Speaker 2: you bring China into it. They've been stumbling on AI 891 00:44:25,880 --> 00:44:28,080 Speaker 2: for over a decade that it's like the one big 892 00:44:28,120 --> 00:44:31,279 Speaker 2: tech stock that right now today July sixteenth is an 893 00:44:31,320 --> 00:44:32,000 Speaker 2: all time high. 894 00:44:32,040 --> 00:44:33,799 Speaker 3: Well, I thought it's interesting. I mean, to some extent 895 00:44:33,880 --> 00:44:36,000 Speaker 3: you can say, Okay, they missed the boat on AI. 896 00:44:36,520 --> 00:44:38,960 Speaker 3: But on the other hand, you know, they've sort of 897 00:44:39,040 --> 00:44:42,680 Speaker 3: stuck true to their ethos as a product company that 898 00:44:42,800 --> 00:44:45,839 Speaker 3: often I don't want to say leeches off the technology 899 00:44:45,840 --> 00:44:49,040 Speaker 3: of others, but like it's very good about sourcing techs 900 00:44:49,400 --> 00:44:51,040 Speaker 3: they from other companies, right. 901 00:44:51,239 --> 00:44:54,360 Speaker 2: Right, I would say, you know, Mark described it's a 902 00:44:54,400 --> 00:44:58,520 Speaker 2: product company, right, but the other thing is it's a 903 00:44:59,080 --> 00:45:02,879 Speaker 2: supply chain and creation story. Obviously that was like that's 904 00:45:02,920 --> 00:45:06,080 Speaker 2: what Tim Cook's expertise was, et cetera. You know, there's 905 00:45:06,080 --> 00:45:10,040 Speaker 2: an interesting episode we did remember with Sam Demico the 906 00:45:10,200 --> 00:45:11,280 Speaker 2: Impulse Labs. 907 00:45:11,600 --> 00:45:13,160 Speaker 3: Yeah, he was talking about it. 908 00:45:13,000 --> 00:45:15,480 Speaker 2: And he said that term and I guess it's actually 909 00:45:15,480 --> 00:45:18,880 Speaker 2: originally an Elon term, which is that the factory is 910 00:45:18,880 --> 00:45:21,120 Speaker 2: the product, right, which is really interesting, and so he 911 00:45:21,280 --> 00:45:24,040 Speaker 2: was like, why have they been this unified experience that 912 00:45:24,120 --> 00:45:28,640 Speaker 2: combines really good hardware with really good software. The product 913 00:45:28,960 --> 00:45:32,640 Speaker 2: is their ability to integrate. It's not like a that's 914 00:45:32,680 --> 00:45:35,359 Speaker 2: what they're good, that's their thing. They can integrate many 915 00:45:35,400 --> 00:45:38,320 Speaker 2: different things better than anyone else, and then people really 916 00:45:38,400 --> 00:45:39,399 Speaker 2: like the product. Yeah. 917 00:45:39,400 --> 00:45:41,480 Speaker 3: But then on the other hand, I guess the question 918 00:45:41,600 --> 00:45:44,080 Speaker 3: is if something like a camera, if the edge on 919 00:45:44,120 --> 00:45:46,920 Speaker 3: a camera now comes from AI, yeah yeah, versus like 920 00:45:46,960 --> 00:45:50,239 Speaker 3: the actual hardware components, then are you going to get 921 00:45:50,560 --> 00:45:53,440 Speaker 3: a big AI company, a hyperscaler that starts, you know, 922 00:45:53,560 --> 00:45:55,120 Speaker 3: becoming a product company. 923 00:45:55,680 --> 00:45:58,000 Speaker 2: Or you just have like one of these Chinese companies 924 00:45:58,320 --> 00:46:01,160 Speaker 2: where AI is like one and they do and even 925 00:46:01,239 --> 00:46:03,360 Speaker 2: that is ten times better than the you know what 926 00:46:03,400 --> 00:46:06,600 Speaker 2: I'm saying. And so I do think, like pretty clearly 927 00:46:06,640 --> 00:46:10,320 Speaker 2: from a pure product standpoint, there is probably a limit 928 00:46:10,680 --> 00:46:14,000 Speaker 2: to your point of like how far they'll go if 929 00:46:14,080 --> 00:46:18,279 Speaker 2: their core technology is just not frontier. And it's so 930 00:46:18,440 --> 00:46:21,040 Speaker 2: crazy to me that like there were years ahead of 931 00:46:21,120 --> 00:46:25,560 Speaker 2: everyone else in terms of conceiving of talking to your 932 00:46:25,560 --> 00:46:28,640 Speaker 2: computer with your voice and then they just like completely 933 00:46:29,080 --> 00:46:30,120 Speaker 2: drop the ball on that. 934 00:46:30,320 --> 00:46:32,160 Speaker 3: Well, I do also think the other thing, you know, 935 00:46:32,200 --> 00:46:35,839 Speaker 3: we talked about their ability to entice buyers for these 936 00:46:35,880 --> 00:46:38,000 Speaker 3: new products and a lot of the stuff. It sounds 937 00:46:38,040 --> 00:46:40,359 Speaker 3: cool a robotic arm that sits on your desk and 938 00:46:40,480 --> 00:46:43,439 Speaker 3: points at people, I guess. But on the other hand, 939 00:46:44,080 --> 00:46:47,200 Speaker 3: how much of it do people actually need? How much 940 00:46:47,280 --> 00:46:49,920 Speaker 3: is it going to cost? Given that, as we were discussing, 941 00:46:50,000 --> 00:46:53,440 Speaker 3: memory and components are in short supply at the moment, 942 00:46:54,000 --> 00:46:54,400 Speaker 3: I don't know. 943 00:46:54,640 --> 00:46:58,080 Speaker 2: I also think, who knows, I guess part of it. 944 00:46:58,160 --> 00:47:00,759 Speaker 2: Maybe you know. Other companies are all going to build 945 00:47:00,800 --> 00:47:05,560 Speaker 2: the similar gadgets et cetera. Like again the iPhone, bringing 946 00:47:05,640 --> 00:47:09,480 Speaker 2: together this entire ecosystem, Like what are the I just like, 947 00:47:09,840 --> 00:47:11,920 Speaker 2: I don't know, I guess. The The flip side is like, 948 00:47:12,200 --> 00:47:14,719 Speaker 2: we don't care at all anymore about what iOS were on, 949 00:47:14,840 --> 00:47:16,560 Speaker 2: et cetera, and it hasn't hurt the company. 950 00:47:16,600 --> 00:47:18,840 Speaker 3: Well, I was gonna say one question we should have 951 00:47:18,840 --> 00:47:21,040 Speaker 3: asked Mark, and I forgot, but how much of a 952 00:47:21,080 --> 00:47:22,439 Speaker 3: mote is iOS now? 953 00:47:22,520 --> 00:47:22,840 Speaker 1: Actually? 954 00:47:23,400 --> 00:47:25,080 Speaker 3: Because people will say, like, oh, I don't want a 955 00:47:25,120 --> 00:47:27,600 Speaker 3: non iOS phone. But on the other hand, you don't 956 00:47:27,640 --> 00:47:28,839 Speaker 3: know what iOS you're on. 957 00:47:29,200 --> 00:47:29,279 Speaker 1: No. 958 00:47:29,560 --> 00:47:31,520 Speaker 2: All I know is that if I didn't have one, 959 00:47:31,680 --> 00:47:33,719 Speaker 2: all my friends would make fun of me for being green. 960 00:47:33,800 --> 00:47:36,840 Speaker 2: Text in the group chats yea, who's that's the important 961 00:47:36,840 --> 00:47:40,560 Speaker 2: Who's the android person that's making the group text show 962 00:47:40,640 --> 00:47:43,359 Speaker 2: up in green chat? Expose yourself and so I don't 963 00:47:43,360 --> 00:47:44,160 Speaker 2: want to be that person? 964 00:47:44,200 --> 00:47:44,480 Speaker 4: All right? 965 00:47:44,480 --> 00:47:45,279 Speaker 3: Shall we leave it there? 966 00:47:45,480 --> 00:47:46,200 Speaker 2: Let's leave it there. 967 00:47:46,400 --> 00:47:48,960 Speaker 3: This has been another episode of the au Bots podcast. 968 00:47:49,040 --> 00:47:52,400 Speaker 3: I'm Tracy Alloway. You can follow me at Tracy Alloway. 969 00:47:52,160 --> 00:47:54,880 Speaker 2: And I'm Joe Wisenthal. You can follow me at the Stalwart. 970 00:47:55,120 --> 00:47:58,279 Speaker 2: Follow our producers Carmen Rodriguez at Kerman Arma, dash Ol 971 00:47:58,280 --> 00:48:01,840 Speaker 2: Bennett at Dashbot, kel Brooks at Kilbrooks and Kevin Lozano 972 00:48:01,960 --> 00:48:04,920 Speaker 2: at Kevin Lloyd Lisano. And for more odd Logs content, 973 00:48:04,960 --> 00:48:07,239 Speaker 2: go to Bloomberg dot com slash odd Lots or of 974 00:48:07,280 --> 00:48:09,680 Speaker 2: a daily newsletter and all of our episodes and you 975 00:48:09,719 --> 00:48:11,719 Speaker 2: can chet about all these topics twenty four to seven 976 00:48:11,800 --> 00:48:15,000 Speaker 2: in our discord Discord dot gg slash od Loots. 977 00:48:15,440 --> 00:48:17,440 Speaker 3: And if you enjoy odd Lots, if you like it 978 00:48:17,520 --> 00:48:20,040 Speaker 3: when we provide you with Apple updates, then please leave 979 00:48:20,120 --> 00:48:23,680 Speaker 3: us a positive review on your favorite podcast platform. And remember, 980 00:48:23,719 --> 00:48:26,239 Speaker 3: if you are a Bloomberg subscriber, you can listen to 981 00:48:26,360 --> 00:48:29,319 Speaker 3: all of our episodes absolutely ad free. All you need 982 00:48:29,400 --> 00:48:32,000 Speaker 3: to do is find the Bloomberg channel on Apple Podcasts 983 00:48:32,000 --> 00:49:00,680 Speaker 3: and follow the instructions there. Thanks for listening, Ey,