1 00:00:02,440 --> 00:00:10,040 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,520 --> 00:00:13,800 Speaker 2: From Mahart where Innovation, money and power collne in Silicon Valley, NBN. 3 00:00:14,160 --> 00:00:18,200 Speaker 3: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow. 4 00:00:31,320 --> 00:00:34,440 Speaker 4: I'm Karen Hyde, Bloomberg's World Headquarters in New York, Blamed 5 00:00:34,520 --> 00:00:38,000 Speaker 4: Ludlow Live from Dell Technologies World in Las Vegas. 6 00:00:38,280 --> 00:00:40,519 Speaker 5: This is Bloomberg Technology, and. 7 00:00:40,360 --> 00:00:43,720 Speaker 4: We will have full coverage from Las Vegas with Edge 8 00:00:43,760 --> 00:00:46,040 Speaker 4: as he gears up to speak for the CEOs of 9 00:00:46,120 --> 00:00:47,400 Speaker 4: Dell Service. 10 00:00:47,040 --> 00:00:48,840 Speaker 6: Now and of Video. 11 00:00:49,280 --> 00:00:51,199 Speaker 4: Plus we'll hone in on in Video and get a 12 00:00:51,240 --> 00:00:53,720 Speaker 4: preview of what to expect from their earnings out later 13 00:00:53,760 --> 00:00:57,960 Speaker 4: in the week. New or Grayscale CEO Michael Sonnershein's departing 14 00:00:57,960 --> 00:01:00,319 Speaker 4: the company after three years at the helm Us. 15 00:01:00,320 --> 00:01:02,360 Speaker 6: That and so much more throughout this hour. 16 00:01:02,640 --> 00:01:04,600 Speaker 4: But a quick check on the macro as we see 17 00:01:04,920 --> 00:01:07,759 Speaker 4: record high after record high across those benchmarks, whether it's 18 00:01:07,800 --> 00:01:09,840 Speaker 4: the Nasdaq, whether or not see s P five hundred, 19 00:01:10,120 --> 00:01:13,360 Speaker 4: the Dow, the All Country World Index, all Power higher. 20 00:01:13,400 --> 00:01:17,440 Speaker 4: On the fact that we're still seeing perhaps that geopolitical 21 00:01:17,560 --> 00:01:20,360 Speaker 4: risk of course, a fatal crash happening with a helicopter 22 00:01:20,400 --> 00:01:22,960 Speaker 4: in Iran not enough to take away some of the 23 00:01:23,000 --> 00:01:25,600 Speaker 4: overall focus. That is, of course, a macro policy, a 24 00:01:25,600 --> 00:01:28,640 Speaker 4: federal reserve that can potentially cut rates into the second 25 00:01:28,680 --> 00:01:30,520 Speaker 4: half of the year. That's what the market wants to see. 26 00:01:30,560 --> 00:01:32,560 Speaker 6: That's interesting. We're seeing a little bit of sell off 27 00:01:32,560 --> 00:01:33,400 Speaker 6: coming in the bond market. 28 00:01:33,520 --> 00:01:36,120 Speaker 4: Yields just pushing up, call it one or two basis points, 29 00:01:36,319 --> 00:01:39,479 Speaker 4: but really some quietness as we have just a lot 30 00:01:39,520 --> 00:01:41,759 Speaker 4: of Fed speak to digest this week. I'm looking at 31 00:01:41,760 --> 00:01:45,080 Speaker 4: copper also, at a record high metals gold copper really 32 00:01:45,400 --> 00:01:46,880 Speaker 4: maybe a bit of a conundrum when it comes to 33 00:01:46,880 --> 00:01:49,760 Speaker 4: inflatory pressures though for the Federal Reserve to currently digest, 34 00:01:49,800 --> 00:01:52,480 Speaker 4: but nevertheless record highs over in commodities face too. Move 35 00:01:52,520 --> 00:01:54,440 Speaker 4: on what's happening in the world of crypto. We're seeing 36 00:01:54,440 --> 00:01:56,760 Speaker 4: that risk on sentiment filter into bitcoin. We're up more 37 00:01:56,760 --> 00:01:59,480 Speaker 4: than a percentage points. SIS six nine hundred is about 38 00:01:59,480 --> 00:02:01,440 Speaker 4: where we t But then I want to delve into 39 00:02:01,480 --> 00:02:04,360 Speaker 4: some of the individual movers, some of the micro names. Look, 40 00:02:04,400 --> 00:02:07,000 Speaker 4: we brace ourselves to what is an all important company 41 00:02:07,360 --> 00:02:10,480 Speaker 4: for earnings. We're still waiting one of the last ones 42 00:02:10,520 --> 00:02:13,280 Speaker 4: when it comes to the big market cap companies in 43 00:02:13,400 --> 00:02:15,280 Speaker 4: Video up more than two percent, and is of course 44 00:02:15,280 --> 00:02:17,640 Speaker 4: Wednesday that we get the overall numbers from this company, 45 00:02:17,760 --> 00:02:20,560 Speaker 4: and many anticipating that will they be able to vindicate 46 00:02:20,600 --> 00:02:23,000 Speaker 4: the sixty one analysts who still say buy this stock 47 00:02:23,040 --> 00:02:25,040 Speaker 4: and the zero cells that are out there. 48 00:02:25,080 --> 00:02:27,000 Speaker 6: After a more than five hundred percent. 49 00:02:26,800 --> 00:02:30,080 Speaker 4: Rally since the beginning of twenty twenty three, Dell just 50 00:02:30,160 --> 00:02:32,800 Speaker 4: under pressure some four tens percent. Interesting that JP Morgan 51 00:02:32,840 --> 00:02:35,280 Speaker 4: is actually saying, also look to buy into this stock 52 00:02:35,320 --> 00:02:37,520 Speaker 4: ahead of its earnings coming later on May. 53 00:02:37,720 --> 00:02:39,839 Speaker 6: The very last day, it seems one hundred and forty eight. 54 00:02:39,919 --> 00:02:42,400 Speaker 4: Well, the price target for JP Morgan moves up to 55 00:02:42,440 --> 00:02:43,480 Speaker 4: one hundred and fifty five. 56 00:02:43,760 --> 00:02:45,200 Speaker 6: We want to talk more about these stocks. 57 00:02:45,200 --> 00:02:47,079 Speaker 4: We want to talk more about the focus of artificial 58 00:02:47,080 --> 00:02:50,080 Speaker 4: intelligence for both del for in Video, for many over 59 00:02:50,120 --> 00:02:53,160 Speaker 4: into Dell World conference now it is just kicking off 60 00:02:53,200 --> 00:02:54,079 Speaker 4: in Las Vegas. 61 00:02:54,480 --> 00:02:56,640 Speaker 6: Ed you are there and you've got a special guest. 62 00:02:57,400 --> 00:02:57,600 Speaker 5: Yeah. 63 00:02:57,639 --> 00:02:59,960 Speaker 7: And by the way, the relationship between those two companies, 64 00:03:00,320 --> 00:03:02,960 Speaker 7: it's such a big part of the AI infrastructure build 65 00:03:02,960 --> 00:03:05,519 Speaker 7: out that we're seeing. So let's kick off our coverage 66 00:03:05,600 --> 00:03:07,919 Speaker 7: of Dell Tech World and bringing off the Lewis He's 67 00:03:07,960 --> 00:03:12,160 Speaker 7: the president of Dell's Infrastructure Solutions Group. And the reality 68 00:03:12,360 --> 00:03:16,040 Speaker 7: is that we can talk about generative AI all day long, 69 00:03:16,120 --> 00:03:19,519 Speaker 7: but that is what we're talking about still, the infrastructure play. 70 00:03:19,919 --> 00:03:22,639 Speaker 7: This is a big event for lots of reasons. Set 71 00:03:22,680 --> 00:03:25,360 Speaker 7: the same for us. Who is coming at What do 72 00:03:25,440 --> 00:03:27,040 Speaker 7: you think you'll be talking most about? 73 00:03:27,680 --> 00:03:29,280 Speaker 8: Well, first of all, thank you for having me here. 74 00:03:29,280 --> 00:03:30,040 Speaker 8: It's great to be here. 75 00:03:30,720 --> 00:03:33,040 Speaker 9: You know, we're excited to be here with ten thousand 76 00:03:33,280 --> 00:03:37,320 Speaker 9: of our closest friends, customers, partners, press and analysts to 77 00:03:37,360 --> 00:03:39,360 Speaker 9: talk about all the great things that you know we're 78 00:03:39,360 --> 00:03:41,760 Speaker 9: working on. You know, there's no question that we're living 79 00:03:41,760 --> 00:03:44,520 Speaker 9: in one of the most interesting times in human history. 80 00:03:44,800 --> 00:03:47,440 Speaker 9: You know, the rapid advancements that we see and artificial 81 00:03:47,520 --> 00:03:51,160 Speaker 9: intelligence are going to really unlock the value that the 82 00:03:51,200 --> 00:03:55,240 Speaker 9: world's data brings to organizations of all sizes, unlocking record 83 00:03:55,280 --> 00:03:59,880 Speaker 9: levels of innovation and record levels of workforce productivity. 84 00:04:00,120 --> 00:04:01,560 Speaker 8: And so you're going to hear from. 85 00:04:01,440 --> 00:04:04,600 Speaker 9: A lot of great partners stories around the acceleration of 86 00:04:04,800 --> 00:04:07,160 Speaker 9: their generative AI. They're going to hear from companies like 87 00:04:07,200 --> 00:04:10,320 Speaker 9: Service Now, companies like Samsung. They're going to hear about 88 00:04:10,320 --> 00:04:14,360 Speaker 9: our partnerships with companies like Nvidio, Broadcom, Intel, Microsoft, This 89 00:04:14,520 --> 00:04:16,680 Speaker 9: is going to be a very exciting action pack show. 90 00:04:17,480 --> 00:04:21,000 Speaker 7: Let's talk about AI factory. So in March, Delle said, 91 00:04:21,400 --> 00:04:25,799 Speaker 7: we are trying to simplify your investments in artificial intelligence. 92 00:04:25,800 --> 00:04:28,560 Speaker 7: So we bring you the AI factory. What is an 93 00:04:28,560 --> 00:04:29,440 Speaker 7: AI factory? 94 00:04:29,880 --> 00:04:30,200 Speaker 8: All right? 95 00:04:30,279 --> 00:04:34,159 Speaker 9: So you know, artificial intelligence is very challenging given the 96 00:04:34,279 --> 00:04:37,760 Speaker 9: rapid rate of an innovation that we see in this space, 97 00:04:38,120 --> 00:04:41,440 Speaker 9: and so we take a very consultative approach and in 98 00:04:41,560 --> 00:04:43,640 Speaker 9: terms of how we built out our factories. You know 99 00:04:43,680 --> 00:04:46,360 Speaker 9: what customers are looking for is hey, I really need 100 00:04:46,400 --> 00:04:48,840 Speaker 9: help on the use case I'm targeting. I really need 101 00:04:48,880 --> 00:04:51,360 Speaker 9: help on how I do my model selection. I need 102 00:04:51,400 --> 00:04:54,800 Speaker 9: help on how I do data prep, on my architecture, 103 00:04:54,839 --> 00:04:56,080 Speaker 9: on my infrastructure. 104 00:04:56,320 --> 00:04:59,240 Speaker 8: And so we bring that strategy to bear in. 105 00:04:59,720 --> 00:05:04,360 Speaker 9: Our factory, which is a combination of our infrastructure, compute, networking, 106 00:05:04,400 --> 00:05:08,200 Speaker 9: and storage, all engineered and optimized under one roof. Are 107 00:05:08,279 --> 00:05:10,480 Speaker 9: build out of the partner ecosystem. You're going to hear 108 00:05:10,480 --> 00:05:13,560 Speaker 9: from great companies like Hugging Face and Meta, the partnerships 109 00:05:13,560 --> 00:05:16,440 Speaker 9: that we have there and our professional and consulting services 110 00:05:16,600 --> 00:05:20,080 Speaker 9: which really help customers accelerate their deployment of artificial intelligence. 111 00:05:20,160 --> 00:05:22,159 Speaker 7: I think the big pest question that we're going to 112 00:05:22,160 --> 00:05:24,280 Speaker 7: have throughout the days is who is the buyer of 113 00:05:24,320 --> 00:05:25,160 Speaker 7: AI factories? 114 00:05:25,240 --> 00:05:27,919 Speaker 5: Right? The story thus far has. 115 00:05:27,760 --> 00:05:32,880 Speaker 7: Been Nvidia selling AI accelerators or high performance GPUs to 116 00:05:33,040 --> 00:05:38,960 Speaker 7: the hyperscalers and Meta. Basically Dell's history in its sales 117 00:05:39,080 --> 00:05:42,160 Speaker 7: channels that have been different. Right, you sell to SMEs, 118 00:05:42,240 --> 00:05:45,520 Speaker 7: you sell to governments? Are they the buyers of the 119 00:05:45,560 --> 00:05:46,440 Speaker 7: AI factory? 120 00:05:46,600 --> 00:05:48,799 Speaker 5: And in what form? I mean, what are we literally 121 00:05:48,839 --> 00:05:49,680 Speaker 5: talking about here? 122 00:05:49,920 --> 00:05:50,120 Speaker 10: Yeah? 123 00:05:50,160 --> 00:05:51,680 Speaker 9: And you know, like I said, this is one of 124 00:05:51,720 --> 00:05:54,800 Speaker 9: the most interesting times in human history. You know a 125 00:05:54,800 --> 00:05:56,360 Speaker 9: lot of people say we're in the early innings of 126 00:05:56,400 --> 00:05:57,599 Speaker 9: a baseball game, but I. 127 00:05:57,680 --> 00:05:59,400 Speaker 8: Like to say that we're actually just. 128 00:05:59,360 --> 00:06:02,200 Speaker 9: Pulling into this stadium and the game hasn't even started. 129 00:06:02,760 --> 00:06:04,360 Speaker 9: A lot of the hype has really been around the 130 00:06:04,360 --> 00:06:08,200 Speaker 9: cloud service providers and building out large training clusters. But 131 00:06:08,360 --> 00:06:11,479 Speaker 9: you know, the enterprise is definitely doing a lot of pocs. 132 00:06:11,480 --> 00:06:14,880 Speaker 9: What they're looking for is to deploy AI the right way. 133 00:06:15,120 --> 00:06:17,760 Speaker 9: That means they want to deploy it on prem align 134 00:06:17,800 --> 00:06:20,040 Speaker 9: to where their data resides, and they want to do 135 00:06:20,080 --> 00:06:22,680 Speaker 9: it in an open and flexible way because they want 136 00:06:22,800 --> 00:06:25,960 Speaker 9: choice in terms of how, when and where they deploy 137 00:06:26,040 --> 00:06:26,599 Speaker 9: their models. 138 00:06:27,040 --> 00:06:31,560 Speaker 7: The Power Edge ninety six eighty is the basically fastest 139 00:06:31,600 --> 00:06:35,240 Speaker 7: selling Dell product or first or fastest to one billion dollars, 140 00:06:35,720 --> 00:06:38,480 Speaker 7: which was an exciting headline, right, But what drove that? 141 00:06:38,960 --> 00:06:43,000 Speaker 7: Why was it so fast selling relative to your server 142 00:06:43,160 --> 00:06:44,120 Speaker 7: history which is rich. 143 00:06:44,600 --> 00:06:46,919 Speaker 8: Yeah, so again we leveraged. 144 00:06:47,200 --> 00:06:49,400 Speaker 9: Like we like to say, our innovation engine is firing 145 00:06:49,400 --> 00:06:50,200 Speaker 9: on all cylinders. 146 00:06:50,560 --> 00:06:52,680 Speaker 8: We run the engine extremely hot. 147 00:06:53,279 --> 00:06:55,400 Speaker 9: And you know, the ninety six eighty is differentiated in 148 00:06:55,400 --> 00:06:59,000 Speaker 9: the marketplace for several reasons. It's the densest six U 149 00:06:59,080 --> 00:07:01,800 Speaker 9: chassis that exists in the industry, and it's one chassis 150 00:07:01,839 --> 00:07:05,239 Speaker 9: to support a bunch of silicon diversity. So GPUs from Nvidia, 151 00:07:05,320 --> 00:07:08,560 Speaker 9: from AMD, from GUDI all in the same design, so 152 00:07:08,600 --> 00:07:12,720 Speaker 9: we have consistent rack scale design for operational simplicity. We've 153 00:07:12,760 --> 00:07:16,040 Speaker 9: worked hard on our networking capabilities to offer Ethernet and 154 00:07:16,080 --> 00:07:21,080 Speaker 9: infiniban for full maximum throughput. So it's really the best 155 00:07:21,080 --> 00:07:23,320 Speaker 9: solution out there for generative AI. 156 00:07:24,560 --> 00:07:28,320 Speaker 7: For how are you using generative aiols at home at work? 157 00:07:28,760 --> 00:07:30,080 Speaker 5: Talk to me about how you use them. 158 00:07:30,240 --> 00:07:33,559 Speaker 9: Yeah, So we're focused on four use cases right now 159 00:07:33,600 --> 00:07:34,760 Speaker 9: on you. 160 00:07:34,280 --> 00:07:36,600 Speaker 5: You as a human, as an executive, as a person. 161 00:07:37,040 --> 00:07:39,440 Speaker 9: Well, I've been using it obviously, Meta has you know 162 00:07:39,520 --> 00:07:41,080 Speaker 9: some great generative AI. 163 00:07:41,080 --> 00:07:42,120 Speaker 8: I've been using it with the. 164 00:07:42,080 --> 00:07:47,320 Speaker 9: Family, on Instagram, on Facebook, on WhatsApp, on messenger. You know, 165 00:07:47,360 --> 00:07:51,520 Speaker 9: the innovation in this space is happening so rapidly. It's again, 166 00:07:51,560 --> 00:07:53,360 Speaker 9: it's one of the most interesting time in human industries, 167 00:07:53,400 --> 00:07:54,920 Speaker 9: and I'm just lucky to be part of it. 168 00:07:55,160 --> 00:07:57,679 Speaker 7: You said something interesting a moment ago, which is about 169 00:07:57,720 --> 00:08:04,080 Speaker 7: the server design accommodate for different GPUs. It's GPU agnostic 170 00:08:04,120 --> 00:08:08,160 Speaker 7: in many ways, and everyone keeps telling me that choice matters, 171 00:08:08,680 --> 00:08:12,120 Speaker 7: you know, the ability to use different AI accelerators. But 172 00:08:12,200 --> 00:08:14,880 Speaker 7: in video is still you know, a clear leader in 173 00:08:14,880 --> 00:08:18,280 Speaker 7: this market. Your job is to have really clear interaction 174 00:08:18,360 --> 00:08:22,600 Speaker 7: with public and private sector customers. How micro focus today 175 00:08:22,640 --> 00:08:25,720 Speaker 7: on Nvidia versus an AMD or an Intel in the 176 00:08:25,720 --> 00:08:27,000 Speaker 7: conversations that you have. 177 00:08:27,560 --> 00:08:30,720 Speaker 9: Look, customers are looking for a drusted advisor, and that's 178 00:08:30,720 --> 00:08:33,800 Speaker 9: who we are. We understand this landscape better than anybody 179 00:08:33,840 --> 00:08:36,480 Speaker 9: out there. We understand the compute, we understand the network, 180 00:08:36,520 --> 00:08:39,280 Speaker 9: we understand the storage, we understand the ecosystem. 181 00:08:39,320 --> 00:08:40,839 Speaker 8: We understand all of the services. 182 00:08:41,040 --> 00:08:43,520 Speaker 9: Our jobs to go in really understand what the customer 183 00:08:43,559 --> 00:08:45,960 Speaker 9: is looking to accomplish and provide the best solution for 184 00:08:46,000 --> 00:08:46,520 Speaker 9: the customer. 185 00:08:47,080 --> 00:08:50,640 Speaker 7: Are the Lewis, who is president of the Infrastructure Solutions 186 00:08:50,679 --> 00:08:54,320 Speaker 7: Group RIGS is more commonly known a Dell. Thank you 187 00:08:54,360 --> 00:08:56,679 Speaker 7: for kicking off Dell technology as well with us live 188 00:08:56,760 --> 00:08:58,280 Speaker 7: here in Las Vegas, Caroline. 189 00:08:58,440 --> 00:09:01,199 Speaker 4: What a great conversation, such a great way to warm 190 00:09:01,280 --> 00:09:03,880 Speaker 4: us up as we think about the infrastructure build out 191 00:09:03,880 --> 00:09:06,320 Speaker 4: and indeed the way in which every executive's using this 192 00:09:06,400 --> 00:09:09,160 Speaker 4: powerful technology. 193 00:09:15,360 --> 00:09:16,280 Speaker 6: The last of. 194 00:09:16,240 --> 00:09:20,080 Speaker 4: The so called Magnificent seven stocks reporting Wednesday in video, 195 00:09:20,480 --> 00:09:22,560 Speaker 4: and boy is it important to the overall stock market. 196 00:09:22,600 --> 00:09:26,080 Speaker 4: It's a make or break moment really in entirety? Is 197 00:09:26,080 --> 00:09:28,640 Speaker 4: it is what the third major player when it comes 198 00:09:28,679 --> 00:09:31,200 Speaker 4: to the Nasdaq one hundred in terms of market capitalization. 199 00:09:31,600 --> 00:09:33,440 Speaker 4: And look, we want to see how much there is 200 00:09:33,440 --> 00:09:36,160 Speaker 4: a commitment to AI chips, to infrastructure build out, to 201 00:09:36,520 --> 00:09:40,320 Speaker 4: buying the company's products. Joining us now for a preview 202 00:09:40,320 --> 00:09:44,440 Speaker 4: of what to expect. Kunjin Savani, who is Bloomberg Intelligence analyst. 203 00:09:44,480 --> 00:09:47,680 Speaker 4: And look, it's not often that we're anticipating revenue growth 204 00:09:47,720 --> 00:09:50,000 Speaker 4: in excess of two hundred percent. 205 00:09:50,520 --> 00:09:53,160 Speaker 6: Again for a company, how can we live up to it? 206 00:09:53,360 --> 00:09:55,360 Speaker 11: Yeah, I mean, look, there has been no lack of 207 00:09:55,520 --> 00:10:00,079 Speaker 11: demand validating signals throughout this last quarter. Its largest customer, 208 00:10:00,520 --> 00:10:05,400 Speaker 11: cloud providers, hyperscalers have all increased their outlook for. 209 00:10:05,440 --> 00:10:07,320 Speaker 10: Their CAPEX spending in AI this year. 210 00:10:07,640 --> 00:10:10,880 Speaker 11: It's supplier, the biggest supplier at t SMC has given 211 00:10:11,280 --> 00:10:15,600 Speaker 11: really positive commentary about AI demand continuing for the rest 212 00:10:15,600 --> 00:10:18,000 Speaker 11: of the year. When you look, there's a couple of 213 00:10:18,080 --> 00:10:23,160 Speaker 11: other tailwinds as in so and entities and other regions 214 00:10:23,160 --> 00:10:27,120 Speaker 11: outside of the US government entities increasing their spending in AI. 215 00:10:27,240 --> 00:10:31,040 Speaker 11: So across the board, we see significant, strong, real demand 216 00:10:31,120 --> 00:10:33,280 Speaker 11: signals coming in for the company, and we feel really 217 00:10:33,320 --> 00:10:36,520 Speaker 11: good about them coming in this solid beat and this. 218 00:10:36,559 --> 00:10:40,800 Speaker 4: Sprint supply as well going to be equally strong, because 219 00:10:40,840 --> 00:10:42,640 Speaker 4: that seems to have been the limitation really for the 220 00:10:42,679 --> 00:10:43,840 Speaker 4: story of Nvidia. 221 00:10:44,920 --> 00:10:49,240 Speaker 11: Yeah, I mean, look, supply has been coming on significantly 222 00:10:49,320 --> 00:10:54,360 Speaker 11: each quarter, and that's what we expect definitely. You know, 223 00:10:54,800 --> 00:10:57,960 Speaker 11: as so far they have executed really well without any 224 00:10:58,040 --> 00:11:01,560 Speaker 11: big miss I would say in terms of supply coming 225 00:11:01,600 --> 00:11:03,520 Speaker 11: on to the numbers at least what the street has 226 00:11:03,520 --> 00:11:06,800 Speaker 11: so at this point, we don't see significant risks. Look again, 227 00:11:06,880 --> 00:11:09,439 Speaker 11: this water we saw h one hundredly times their use 228 00:11:09,760 --> 00:11:13,520 Speaker 11: or close to about nine to ten weeks. They now 229 00:11:13,559 --> 00:11:15,480 Speaker 11: have the Age two hundred in the mix as well, 230 00:11:16,000 --> 00:11:18,520 Speaker 11: and coming over this end of second half of this 231 00:11:18,600 --> 00:11:21,400 Speaker 11: they'll have more products from their black Vel architecture in 232 00:11:21,400 --> 00:11:23,640 Speaker 11: the mix as well, so they have more livers to 233 00:11:23,720 --> 00:11:26,720 Speaker 11: push play with now in order to sort of meet 234 00:11:26,720 --> 00:11:27,320 Speaker 11: those numbers. 235 00:11:27,320 --> 00:11:29,680 Speaker 10: If one other supply change sees any issues. 236 00:11:30,160 --> 00:11:32,440 Speaker 4: Let's talk to geopolitics as well, because you focus in 237 00:11:32,480 --> 00:11:37,920 Speaker 4: on the incredibly powerful chips and overall architecture being on offer. 238 00:11:37,920 --> 00:11:40,640 Speaker 4: But China, for example, big customer, and it doesn't want 239 00:11:40,720 --> 00:11:43,760 Speaker 4: or at least it can't have the most powerful chips 240 00:11:43,760 --> 00:11:45,480 Speaker 4: that in video produces. 241 00:11:46,480 --> 00:11:48,320 Speaker 11: Yeah, I mean, look, I think in the near term 242 00:11:48,600 --> 00:11:51,240 Speaker 11: the geopolitical is in a way I don't want to 243 00:11:51,240 --> 00:11:53,960 Speaker 11: say directly, but could be a positive. Yes, the China 244 00:11:54,120 --> 00:11:56,920 Speaker 11: regional preferences not to use in media chips, but I 245 00:11:57,000 --> 00:11:59,920 Speaker 11: mean you still think about the customers in China. 246 00:12:00,480 --> 00:12:01,920 Speaker 10: They would still if. 247 00:12:01,800 --> 00:12:04,600 Speaker 11: They can, want to use in Vidia chips because they're 248 00:12:04,640 --> 00:12:07,480 Speaker 11: the best out there. So we could see, we could 249 00:12:07,559 --> 00:12:10,560 Speaker 11: anticipate to see some sort of a pull in in 250 00:12:10,559 --> 00:12:13,520 Speaker 11: in fear of more restrictions coming either from China or 251 00:12:13,559 --> 00:12:15,440 Speaker 11: the US, So that could sort of pull in the 252 00:12:15,480 --> 00:12:17,960 Speaker 11: demand a little bit earlier and help in media in 253 00:12:18,000 --> 00:12:19,760 Speaker 11: the near next few quarters. 254 00:12:20,320 --> 00:12:23,360 Speaker 4: What's interesting is we had an AI cow computing startup 255 00:12:23,400 --> 00:12:24,640 Speaker 4: on the show on Friday Core. 256 00:12:24,679 --> 00:12:25,520 Speaker 6: We've raising a. 257 00:12:25,440 --> 00:12:28,600 Speaker 4: Ton of money, but it's mainly working within video here 258 00:12:29,080 --> 00:12:32,840 Speaker 4: and the CEO telling us that everyone wants an in 259 00:12:32,920 --> 00:12:35,080 Speaker 4: video chip. Yes you can talk about MD, Yes you 260 00:12:35,080 --> 00:12:37,040 Speaker 4: can talk about some of the competitors in the market, 261 00:12:37,320 --> 00:12:39,920 Speaker 4: but ultimately that's where the demand is. Do you agree, 262 00:12:39,960 --> 00:12:43,520 Speaker 4: is that anyone who's starting to show the competition angle 263 00:12:43,679 --> 00:12:45,960 Speaker 4: able to muscle in on some of the market share? 264 00:12:47,360 --> 00:12:48,320 Speaker 10: I mean, like you name it. 265 00:12:48,400 --> 00:12:52,280 Speaker 11: AMD is sort of the only other real viable merchant 266 00:12:52,320 --> 00:12:56,560 Speaker 11: GPU silicon provider right now, but Nvidia still has the 267 00:12:56,600 --> 00:13:00,880 Speaker 11: lion shared and we don't see that changing significantly this 268 00:13:00,960 --> 00:13:01,400 Speaker 11: year or. 269 00:13:01,480 --> 00:13:02,440 Speaker 10: Next fiscal year. 270 00:13:02,800 --> 00:13:04,920 Speaker 4: What has been, of course, what are the key bottlenecks 271 00:13:04,920 --> 00:13:07,920 Speaker 4: for many in terms of the overall power of generative 272 00:13:07,960 --> 00:13:12,080 Speaker 4: AI has been energy and it's been supply side to chips. 273 00:13:12,320 --> 00:13:14,640 Speaker 4: How much is that something we're likely to hear discussed 274 00:13:15,360 --> 00:13:18,800 Speaker 4: on the call analyst consideration that really this is now 275 00:13:18,840 --> 00:13:21,480 Speaker 4: the one that needs fixing ultimately, the impact on the 276 00:13:21,559 --> 00:13:23,960 Speaker 4: environment or indeed impact on the cost of energy. 277 00:13:25,360 --> 00:13:28,640 Speaker 10: I mean, it has become a rising concern across the board. 278 00:13:29,280 --> 00:13:31,440 Speaker 11: I don't think we'll hear a lot about that in 279 00:13:31,480 --> 00:13:34,200 Speaker 11: inn Media calls specific I think we hear a lot 280 00:13:34,320 --> 00:13:36,320 Speaker 11: about in its customers calls. 281 00:13:36,600 --> 00:13:38,920 Speaker 10: To be honest at this point, because. 282 00:13:38,720 --> 00:13:42,640 Speaker 11: Even if a real magnitude increase in power, every generation 283 00:13:42,840 --> 00:13:46,520 Speaker 11: of in Media chips, their total TCO continues to get 284 00:13:46,559 --> 00:13:48,560 Speaker 11: better and the efficiency continues to get better. 285 00:13:49,400 --> 00:13:50,000 Speaker 6: We thank you. 286 00:13:50,480 --> 00:13:52,040 Speaker 4: It's going to be a busy week for you. Conjiin 287 00:13:52,120 --> 00:13:55,360 Speaker 4: Servanni on the show from Botomberg Intelligence. All eyes on 288 00:13:55,400 --> 00:13:57,000 Speaker 4: in video and its settings later in the week. But 289 00:13:57,080 --> 00:13:58,880 Speaker 4: coming up, we've got to focus on what's happening in 290 00:13:58,880 --> 00:14:01,439 Speaker 4: the here and now. It's Tesla ploys in Limbo still 291 00:14:01,720 --> 00:14:04,160 Speaker 4: a says, job cuts loom over at the company. We'll 292 00:14:04,160 --> 00:14:07,640 Speaker 4: discuss really the details of the anxiety that's still gripping 293 00:14:07,640 --> 00:14:09,080 Speaker 4: the electric carmaker's workforce. 294 00:14:09,360 --> 00:14:09,920 Speaker 6: That's next. 295 00:14:10,280 --> 00:14:34,200 Speaker 3: This is Glomod Technology. 296 00:14:24,360 --> 00:14:26,520 Speaker 6: Time now for talking tech. First up, open AI. 297 00:14:26,880 --> 00:14:29,920 Speaker 4: It's working to hold the use of the voice known 298 00:14:29,960 --> 00:14:33,160 Speaker 4: as sky in its audible version of chatchoopt after users 299 00:14:33,200 --> 00:14:37,200 Speaker 4: have noticed it sounds remarkably similar to actress Scarlett youj Hansson. 300 00:14:37,400 --> 00:14:39,360 Speaker 4: Now in a blog post, open Ai said the voice 301 00:14:39,440 --> 00:14:42,000 Speaker 4: one of five available, Remember, wasn't chosen to be an 302 00:14:42,000 --> 00:14:44,040 Speaker 4: imitation of the Hollywood actress, and the voices are a 303 00:14:44,080 --> 00:14:47,080 Speaker 4: new feature, of course of chatchoop PT, introduced in GBT 304 00:14:47,200 --> 00:14:48,960 Speaker 4: four to O, which debuted. 305 00:14:48,600 --> 00:14:50,320 Speaker 6: Earlier in the month. We'll have so much more on 306 00:14:50,320 --> 00:14:51,320 Speaker 6: the story later in the show. 307 00:14:51,640 --> 00:14:54,520 Speaker 4: Meanwhile, cyber Arc Software has agreed to buy cybersecurity firm 308 00:14:54,680 --> 00:14:56,560 Speaker 4: Vinaffi for a one and a half billion dollars in 309 00:14:56,600 --> 00:14:57,200 Speaker 4: cash and stock. 310 00:14:57,600 --> 00:15:00,640 Speaker 6: Ven After You Act by pe Fern Toma Bravo. 311 00:15:00,200 --> 00:15:04,160 Speaker 4: Focuses on machine identity management, the clients ranging from the 312 00:15:04,240 --> 00:15:07,360 Speaker 4: US health insurers to airlines to card issuers and banks now. 313 00:15:07,360 --> 00:15:09,680 Speaker 4: According to cyber Arp, the acquisition is expected to close 314 00:15:09,800 --> 00:15:10,600 Speaker 4: in the second half. 315 00:15:10,480 --> 00:15:11,320 Speaker 6: Of twenty twenty four. 316 00:15:11,440 --> 00:15:13,040 Speaker 4: It's going to add one hundred and fifty million dollars 317 00:15:13,080 --> 00:15:16,160 Speaker 4: in an annual recurring revenue. Phlust by dance it overtakes 318 00:15:16,200 --> 00:15:19,840 Speaker 4: buydo for Ai Chapbot dominance released in August. Downloads of 319 00:15:19,880 --> 00:15:23,440 Speaker 4: the chappot Dobo surpassed its rivals and now have more 320 00:15:23,520 --> 00:15:26,480 Speaker 4: regular monthly users in iOS in China now. That is 321 00:15:26,480 --> 00:15:29,640 Speaker 4: according to the data from cincintaw. The TikTok parent company 322 00:15:29,680 --> 00:15:33,120 Speaker 4: has made a priority in catching up with artificial intelligence, 323 00:15:33,160 --> 00:15:35,760 Speaker 4: and its chatbot is becoming the most downloaded AI chapbot 324 00:15:35,800 --> 00:15:38,520 Speaker 4: on Apple with over nine million downloads today. 325 00:15:38,880 --> 00:15:39,960 Speaker 6: And shares a keyword. 326 00:15:40,040 --> 00:15:43,200 Speaker 4: Studios rose the most since when public in twenty thirteen 327 00:15:43,240 --> 00:15:45,920 Speaker 4: after the company disclosed that is in advanced takeover talk 328 00:15:45,920 --> 00:15:48,080 Speaker 4: to the EQUT Group and could value the company in 329 00:15:48,120 --> 00:15:49,920 Speaker 4: over two and a half billion dollars now. The Dublin 330 00:15:49,960 --> 00:15:53,640 Speaker 4: based studio provides game development, audio art services to the 331 00:15:53,640 --> 00:15:56,960 Speaker 4: gaming industry, and it's worked on titles including Fortnite and 332 00:15:57,120 --> 00:16:01,680 Speaker 4: Call of Duty series. Now talk about what's been happening 333 00:16:01,680 --> 00:16:04,840 Speaker 4: over the past month in Elon Musk's plans to slash 334 00:16:04,840 --> 00:16:08,640 Speaker 4: at least ten percent of Tesla's workforce, CEO still isn't 335 00:16:08,640 --> 00:16:11,840 Speaker 4: done yet, leaving many employees basically in fear of. 336 00:16:11,840 --> 00:16:14,040 Speaker 6: When they might be cut next joining us. 337 00:16:14,120 --> 00:16:16,800 Speaker 4: The regular down in the latest news is re makes 338 00:16:16,840 --> 00:16:21,800 Speaker 4: Crape Trudel and Greg I can only imagine how anxiety 339 00:16:21,880 --> 00:16:24,200 Speaker 4: inducing it is to just be waiting for that letter, 340 00:16:24,280 --> 00:16:24,800 Speaker 4: that email. 341 00:16:25,280 --> 00:16:28,200 Speaker 12: Yeah, and it is a case that this is just 342 00:16:28,320 --> 00:16:30,480 Speaker 12: you know, sort of a week to week thing, day 343 00:16:30,520 --> 00:16:33,400 Speaker 12: to day thing for employees of you just don't know 344 00:16:33,480 --> 00:16:36,040 Speaker 12: when sort of that tap on the shoulder or in 345 00:16:36,080 --> 00:16:39,160 Speaker 12: the case of Tesla, the as we put it in 346 00:16:39,200 --> 00:16:44,400 Speaker 12: the story today, the dear employee email. You know, employees 347 00:16:44,440 --> 00:16:47,240 Speaker 12: getting these messages that don't address them by name, that 348 00:16:47,560 --> 00:16:50,080 Speaker 12: you know, reveal that they are leaving the company, that 349 00:16:50,520 --> 00:16:53,440 Speaker 12: they're being let go. This is just something that's you know, 350 00:16:53,520 --> 00:16:57,160 Speaker 12: continued to roll for weeks and weeks now, and we 351 00:16:57,520 --> 00:17:01,160 Speaker 12: report exclusively in this story that it is something that 352 00:17:01,280 --> 00:17:04,840 Speaker 12: is expected to continue at least through June. So this 353 00:17:04,880 --> 00:17:06,760 Speaker 12: is a company that, as we know, has been going 354 00:17:06,800 --> 00:17:09,640 Speaker 12: through a lot of tumult and some of this has 355 00:17:09,720 --> 00:17:12,760 Speaker 12: very much been self inflicted and sort of raises questions 356 00:17:12,800 --> 00:17:15,880 Speaker 12: about you know, execution in the midst of this, you know, 357 00:17:15,920 --> 00:17:19,239 Speaker 12: sort of cloud hanging over your head every day if 358 00:17:19,240 --> 00:17:20,240 Speaker 12: you're working at Tesla. 359 00:17:20,320 --> 00:17:23,479 Speaker 4: I mean, morale must be taking a hit, Craig, and 360 00:17:23,520 --> 00:17:26,600 Speaker 4: I'm interested. And also the confusion that has rained around 361 00:17:26,800 --> 00:17:29,080 Speaker 4: the Supercharge team, for example, the fact that that was 362 00:17:29,119 --> 00:17:31,919 Speaker 4: acted and then seemingly brought back in some sort of guys, 363 00:17:32,359 --> 00:17:36,720 Speaker 4: how committed to overall job cuts does a company seem 364 00:17:36,760 --> 00:17:36,959 Speaker 4: to be. 365 00:17:37,600 --> 00:17:41,040 Speaker 12: I think that particular aspect of these job cuts has 366 00:17:41,080 --> 00:17:44,320 Speaker 12: been really disruptive and also just you know, really raised 367 00:17:44,320 --> 00:17:46,359 Speaker 12: a lot of questions about what the heck is going 368 00:17:46,359 --> 00:17:48,840 Speaker 12: on here because it is kind of a crown jewel 369 00:17:48,880 --> 00:17:51,080 Speaker 12: within the company. It may or may not have been 370 00:17:51,880 --> 00:17:55,119 Speaker 12: necessarily making a ton of money for the company directly, 371 00:17:55,200 --> 00:17:58,000 Speaker 12: but the fact that they were able to offer such 372 00:17:58,560 --> 00:18:03,280 Speaker 12: a superior charging ex experience to other charging networks and 373 00:18:03,520 --> 00:18:05,520 Speaker 12: even able to get you know, the rest of the 374 00:18:05,520 --> 00:18:08,280 Speaker 12: industry to jump on board with their plug design. I 375 00:18:08,320 --> 00:18:10,520 Speaker 12: mean that just was a show of force on the 376 00:18:10,520 --> 00:18:13,360 Speaker 12: part of the company last year that they were literally 377 00:18:13,480 --> 00:18:16,000 Speaker 12: able to get the entire industry to say, you know what, 378 00:18:16,040 --> 00:18:18,680 Speaker 12: this is the better plug. We'd like to be able 379 00:18:18,720 --> 00:18:22,879 Speaker 12: to use Tesla's network, and you know, the industry is 380 00:18:22,920 --> 00:18:25,479 Speaker 12: still pursuing that in spite of the fact that you know, 381 00:18:25,520 --> 00:18:27,280 Speaker 12: some of these companies have not been able to get 382 00:18:27,280 --> 00:18:30,399 Speaker 12: anybody on the phone who runs that part of the business, 383 00:18:30,440 --> 00:18:34,480 Speaker 12: which is you know, really you know an issue for 384 00:18:34,560 --> 00:18:37,720 Speaker 12: these companies given the bet that they're making here, Greg. 385 00:18:37,560 --> 00:18:41,040 Speaker 4: Let's play Devil's advocate and try and focus in who's 386 00:18:41,040 --> 00:18:44,199 Speaker 4: still passionate, who's still working, who's still infused to be 387 00:18:44,240 --> 00:18:46,639 Speaker 4: building over at Tesla because it is still for many 388 00:18:46,840 --> 00:18:51,560 Speaker 4: a completely earth altering kind of a business to be 389 00:18:51,600 --> 00:18:52,439 Speaker 4: playing a part in. 390 00:18:52,880 --> 00:18:54,600 Speaker 6: Is anyone still feeling galvanized? 391 00:18:55,760 --> 00:18:59,320 Speaker 12: I think Musk is actually interestingly trying to push that 392 00:18:59,480 --> 00:19:01,760 Speaker 12: just in the last few days on X. You know, 393 00:19:01,880 --> 00:19:05,239 Speaker 12: he's engaging with people who are sort of, you know, 394 00:19:05,359 --> 00:19:09,400 Speaker 12: calling out the idea that the media was predicting Twitter's demise, 395 00:19:09,560 --> 00:19:12,080 Speaker 12: you know, when he came into that company and slash 396 00:19:12,160 --> 00:19:15,080 Speaker 12: its workforce, and a lot of his you know fans 397 00:19:15,080 --> 00:19:17,200 Speaker 12: on there kind of you know speaking to this idea 398 00:19:17,200 --> 00:19:20,000 Speaker 12: of oh, you know, everything's fine, nothing has gone wrong. 399 00:19:20,400 --> 00:19:22,920 Speaker 12: I think you know that that is you know, an 400 00:19:22,920 --> 00:19:25,840 Speaker 12: interesting thing for him to be sort of engaging with 401 00:19:25,960 --> 00:19:27,879 Speaker 12: just in the last few days. And I think, you know, 402 00:19:28,160 --> 00:19:30,439 Speaker 12: may or may not be a sort of nod to 403 00:19:30,520 --> 00:19:33,840 Speaker 12: this idea that there are very you know, similar you 404 00:19:33,840 --> 00:19:36,760 Speaker 12: know tropes showing up in the way that these job 405 00:19:36,760 --> 00:19:41,080 Speaker 12: cuts are being reported, you know, both internally and externally 406 00:19:41,160 --> 00:19:43,959 Speaker 12: among among the media. But I would just note that 407 00:19:44,000 --> 00:19:46,879 Speaker 12: this is not just the media reporting this. This is 408 00:19:47,240 --> 00:19:51,920 Speaker 12: you know, current or former Tesla employees describing this sort 409 00:19:51,920 --> 00:19:53,840 Speaker 12: of state of affairs at the moment. 410 00:19:54,080 --> 00:19:58,280 Speaker 4: Yeah, taking to LinkedIn to really talk about how painful 411 00:19:58,280 --> 00:20:00,840 Speaker 4: this is as an individual, how this affect your family 412 00:20:00,880 --> 00:20:01,960 Speaker 4: and your mental health. 413 00:20:02,800 --> 00:20:04,560 Speaker 6: Let's just think about whether it affects. 414 00:20:04,119 --> 00:20:07,639 Speaker 4: Demand, though, Craig, because for many this does impact the brand. 415 00:20:08,240 --> 00:20:11,200 Speaker 12: Yeah, and I think there's a very interesting question about, 416 00:20:11,240 --> 00:20:13,960 Speaker 12: you know, whether or not the company is able to 417 00:20:14,000 --> 00:20:17,440 Speaker 12: execute in spite of all this. We you know, within 418 00:20:17,480 --> 00:20:19,560 Speaker 12: this story speak to this idea that you know, the 419 00:20:19,920 --> 00:20:23,199 Speaker 12: sales staff is being affected. There were some workers that 420 00:20:23,320 --> 00:20:25,720 Speaker 12: you know, flag the idea that, you know, because they 421 00:20:25,720 --> 00:20:28,800 Speaker 12: were cut. They had a real concern about whether or 422 00:20:28,880 --> 00:20:31,560 Speaker 12: not that was going to have an effect on, you know, 423 00:20:31,640 --> 00:20:34,840 Speaker 12: the ability of the company to to you know, close deals, 424 00:20:34,880 --> 00:20:38,679 Speaker 12: to bring the customer along the journey of you know, 425 00:20:38,760 --> 00:20:41,480 Speaker 12: coming to grips with spending tens of thousands of dollars 426 00:20:41,720 --> 00:20:44,840 Speaker 12: on a Tesla as opposed to you know, the growing 427 00:20:44,920 --> 00:20:47,120 Speaker 12: number of options that are now in the EV market, 428 00:20:47,480 --> 00:20:49,639 Speaker 12: and so you know, that is really going to be 429 00:20:49,680 --> 00:20:53,480 Speaker 12: something to watch when this company reports second quarter deliveries 430 00:20:53,520 --> 00:20:56,440 Speaker 12: because it also the you know, Musk set a high 431 00:20:56,480 --> 00:20:58,640 Speaker 12: bar and said, you know what, we think the second 432 00:20:58,720 --> 00:21:00,960 Speaker 12: quarter will be much better than the first quarter. The 433 00:21:01,000 --> 00:21:03,720 Speaker 12: first quarter was dismal, and whether or not you know 434 00:21:03,760 --> 00:21:08,720 Speaker 12: they can execute is really going to be important. 435 00:21:09,320 --> 00:21:12,160 Speaker 4: Rikib and I always looking for the data. Crodradelle, thank 436 00:21:12,160 --> 00:21:22,200 Speaker 4: you for the insights. It's a great read. Welcome back 437 00:21:22,200 --> 00:21:24,040 Speaker 4: to Blue Meg Technology. I'm Carolyn Hide in New York, 438 00:21:24,040 --> 00:21:25,680 Speaker 4: and we're getting you a check on these markets which 439 00:21:25,720 --> 00:21:29,360 Speaker 4: are macro fueled in many ways. We are still digesting 440 00:21:29,400 --> 00:21:31,520 Speaker 4: a lot of FED speak at the moment. We're anticipating 441 00:21:31,600 --> 00:21:33,760 Speaker 4: quite on the data front, more on the speaking front, 442 00:21:33,920 --> 00:21:36,080 Speaker 4: and of course a desire to be still buying into 443 00:21:36,080 --> 00:21:37,520 Speaker 4: stocks at the moment if you think the FED might 444 00:21:37,560 --> 00:21:38,760 Speaker 4: cut going into the rest of the year. 445 00:21:38,760 --> 00:21:41,320 Speaker 6: And that's that one hundred up six ten percent, record high, 446 00:21:41,320 --> 00:21:42,720 Speaker 6: record high, not record high. 447 00:21:42,720 --> 00:21:44,199 Speaker 4: We're at a record high when it comes to all 448 00:21:44,200 --> 00:21:46,840 Speaker 4: country world In next we're seeing powering higher across the world, 449 00:21:46,920 --> 00:21:49,240 Speaker 4: up three tenths of a percent. Sure, Europe as it 450 00:21:49,280 --> 00:21:51,120 Speaker 4: closes is not on a record high for the stock 451 00:21:51,160 --> 00:21:54,040 Speaker 4: six hundred, but certainly the SMP, the NASDAC and indeed 452 00:21:54,280 --> 00:21:56,320 Speaker 4: the dower all at record highs today. I'm looking at 453 00:21:56,359 --> 00:21:59,320 Speaker 4: Bitcoin up one point percent, the moon music is positive 454 00:21:59,359 --> 00:22:01,399 Speaker 4: despite still some of those geopolitical risks. 455 00:22:01,560 --> 00:22:03,040 Speaker 6: Let's move on and look at some of the individual 456 00:22:03,080 --> 00:22:04,600 Speaker 6: companies that we're shining a light on. 457 00:22:04,680 --> 00:22:06,919 Speaker 4: Because Tesla off by one point seven percent, we were 458 00:22:06,960 --> 00:22:09,440 Speaker 4: just hearing some of the concerns around ongoing hit to 459 00:22:09,520 --> 00:22:13,359 Speaker 4: morale and of course job cuts still being tested and executed. 460 00:22:13,359 --> 00:22:15,520 Speaker 4: Over at the business, we're looking at what's happening though 461 00:22:15,520 --> 00:22:18,720 Speaker 4: with Wigs twenty one percent. Look, earnings is still happening. 462 00:22:18,760 --> 00:22:21,560 Speaker 4: This is a web platform company. It's best days since 463 00:22:21,560 --> 00:22:24,240 Speaker 4: March twenty twenty as it manages to blow away in 464 00:22:24,320 --> 00:22:27,840 Speaker 4: terms of analyst expectations and also raises it's fully of forecasts. 465 00:22:28,119 --> 00:22:30,439 Speaker 4: In Nvidia up two point three percent, this is the 466 00:22:30,520 --> 00:22:32,439 Speaker 4: name we're all waiting for when it comes to earnings. 467 00:22:32,440 --> 00:22:35,640 Speaker 4: It's coming out May twenty second after the bell and look, 468 00:22:35,640 --> 00:22:38,160 Speaker 4: there's zero analysts that have a cell rating on the stock. 469 00:22:38,320 --> 00:22:40,760 Speaker 4: To spite up more than five hundred percent since the 470 00:22:40,840 --> 00:22:43,800 Speaker 4: beginning of twenty twenty three. The bets are on still 471 00:22:43,840 --> 00:22:46,639 Speaker 4: when it comes to artificial intelligence and still managing to 472 00:22:46,680 --> 00:22:48,600 Speaker 4: weather those geopolitical. 473 00:22:48,119 --> 00:22:49,400 Speaker 6: Tensions when it comes to China. 474 00:22:49,560 --> 00:22:52,320 Speaker 4: Let's dig into in Nvidia, into AI, how we're using 475 00:22:52,359 --> 00:22:54,639 Speaker 4: it in our world, in our life. Every in Las Vegas, 476 00:22:54,680 --> 00:22:57,680 Speaker 4: because it's Dell's World conference, we await the news coming 477 00:22:57,720 --> 00:23:01,080 Speaker 4: from Dell's CEO keynote speech later to ed you are 478 00:23:01,160 --> 00:23:03,159 Speaker 4: over there and you've got a key guest. 479 00:23:05,359 --> 00:23:07,800 Speaker 7: Yeah, we have a key guest, and that is president 480 00:23:07,840 --> 00:23:11,160 Speaker 7: and prison analyst at Creative Strategies, Caroline A Millionacy. And 481 00:23:11,600 --> 00:23:15,879 Speaker 7: you have so much experience covering consumer technology, fifteen years 482 00:23:15,920 --> 00:23:17,879 Speaker 7: of it. If you don't mind me saying, this is 483 00:23:17,880 --> 00:23:21,240 Speaker 7: actually my first del tech World I'm sure it is 484 00:23:21,280 --> 00:23:23,879 Speaker 7: not your first. But everyone that I bumped into at 485 00:23:23,920 --> 00:23:26,720 Speaker 7: the airport on the flight that phoned me last week 486 00:23:26,800 --> 00:23:28,240 Speaker 7: was like, this is actually very big. 487 00:23:28,440 --> 00:23:29,919 Speaker 5: The stakes are very high here. 488 00:23:30,400 --> 00:23:34,280 Speaker 7: Also in the enterprise context, Why is that this time around? 489 00:23:34,640 --> 00:23:38,440 Speaker 2: Because I don't think that we heard the word enough 490 00:23:38,560 --> 00:23:42,320 Speaker 2: this morning. So let's say AI is here, and every 491 00:23:42,480 --> 00:23:47,280 Speaker 2: company is trying to understand how they can rethink their 492 00:23:47,320 --> 00:23:50,440 Speaker 2: business to take advantage of AI, and because of that 493 00:23:50,640 --> 00:23:51,760 Speaker 2: they need a good partner. 494 00:23:52,480 --> 00:23:56,240 Speaker 7: We will talk about AIPC, but you know the story. 495 00:23:56,280 --> 00:23:59,960 Speaker 7: Frankly with generative AI is Nvidia selling the H one 496 00:24:00,200 --> 00:24:05,000 Speaker 7: hundred generation AI Accelerator high Performance GPU to the HYPERSCALEISM 497 00:24:05,119 --> 00:24:09,840 Speaker 7: meta and I don't see much evolution beyond that, do you. 498 00:24:10,400 --> 00:24:13,879 Speaker 2: It's like a duck, right, but it is moving and 499 00:24:13,920 --> 00:24:16,919 Speaker 2: you don't see the feet paddling under the water. And 500 00:24:16,960 --> 00:24:19,560 Speaker 2: I think that's what the likes of Dell are doing 501 00:24:19,960 --> 00:24:23,080 Speaker 2: for enterprises is the day to day is out to 502 00:24:23,119 --> 00:24:25,800 Speaker 2: really take advantage of AI to refining their business, do 503 00:24:26,520 --> 00:24:29,679 Speaker 2: better productivity, or reach people that they haven't reached before. 504 00:24:30,560 --> 00:24:33,400 Speaker 6: And that requires attention on the day to day. 505 00:24:33,520 --> 00:24:37,520 Speaker 2: So thinking about the role that Dell can play as 506 00:24:37,560 --> 00:24:43,479 Speaker 2: a trusted partner and supplier ISRAELI help optimize workloads and 507 00:24:43,560 --> 00:24:46,600 Speaker 2: take advantage of AI in the right way, whether it 508 00:24:46,680 --> 00:24:48,720 Speaker 2: is in the cloud or a DG. 509 00:24:48,800 --> 00:24:52,600 Speaker 7: And I suppose Jensen Wog and Nvidia, he's not been 510 00:24:52,640 --> 00:24:55,679 Speaker 7: selling anything at any point in his career to the 511 00:24:55,720 --> 00:24:58,800 Speaker 7: public sector the micro level. I grew up in a 512 00:24:58,800 --> 00:25:01,920 Speaker 7: Dell household, which Dell desktops. I broke many of them, 513 00:25:02,160 --> 00:25:07,600 Speaker 7: playing Age of Empires on cd ROM. When I think AIPC, 514 00:25:08,000 --> 00:25:10,359 Speaker 7: I keep hearing it's coming. I don't really know in 515 00:25:10,400 --> 00:25:13,199 Speaker 7: my mind or my heart that I know what an AIPC. 516 00:25:12,920 --> 00:25:16,639 Speaker 2: Is, and I think most consumers don't. Right, for me, 517 00:25:16,800 --> 00:25:20,240 Speaker 2: the really true selling proposition of AIPC is the idea 518 00:25:20,320 --> 00:25:23,400 Speaker 2: that you're lowering the barrier vent for people to interact 519 00:25:23,440 --> 00:25:27,080 Speaker 2: with technology. And so because of gener cy AI, everybody 520 00:25:27,119 --> 00:25:30,800 Speaker 2: can become a power user, taking away the friction that 521 00:25:30,840 --> 00:25:33,240 Speaker 2: we still have on the PC. Then maybe we don't 522 00:25:33,280 --> 00:25:34,560 Speaker 2: have any more on their phone. 523 00:25:35,840 --> 00:25:39,280 Speaker 5: I don't know that the consumer's ready. 524 00:25:39,640 --> 00:25:42,439 Speaker 7: You know, often when a new technology comes to market, 525 00:25:42,520 --> 00:25:46,119 Speaker 7: it's expensive and it goes down from there, and I wonder, 526 00:25:46,280 --> 00:25:49,920 Speaker 7: like it is Dell, the OEM or whichever chip maker 527 00:25:49,960 --> 00:25:52,080 Speaker 7: it is. You know, there are several of them eyeing 528 00:25:52,119 --> 00:25:56,080 Speaker 7: this space. Maybe do they eat the costs to make 529 00:25:56,119 --> 00:25:57,480 Speaker 7: it more palatable. 530 00:25:56,960 --> 00:25:58,240 Speaker 5: For the consumer to try it out? 531 00:25:58,520 --> 00:26:02,360 Speaker 2: You know, I think they're with AI their two parts, right, 532 00:26:02,400 --> 00:26:04,800 Speaker 2: there's the cost of the hardware, remembers the cost of 533 00:26:04,840 --> 00:26:07,760 Speaker 2: a service, and so as far as eating their price 534 00:26:07,920 --> 00:26:11,399 Speaker 2: or the part of their return is both on the 535 00:26:11,480 --> 00:26:14,560 Speaker 2: Microsoft on copilot as well as it is on the 536 00:26:14,640 --> 00:26:17,680 Speaker 2: chip maker and OEMs. What is good is that we're seeing, 537 00:26:17,680 --> 00:26:21,480 Speaker 2: for instance, the likes of Qualcom have a broader set 538 00:26:21,600 --> 00:26:25,760 Speaker 2: of offering that it's the main market, the mainstream market, 539 00:26:25,920 --> 00:26:29,639 Speaker 2: and the early adopters, our consumers led already. No, we 540 00:26:29,720 --> 00:26:32,600 Speaker 2: need to tell an honest story of what AI is 541 00:26:32,920 --> 00:26:35,919 Speaker 2: and what real AI is when real AI is going 542 00:26:36,000 --> 00:26:38,880 Speaker 2: to hit the market, because this is a marathon, it's 543 00:26:38,920 --> 00:26:41,160 Speaker 2: not a sprint. It's going to take years to actually 544 00:26:41,200 --> 00:26:43,120 Speaker 2: see the full value of AI. 545 00:26:43,680 --> 00:26:45,679 Speaker 6: And Karlyn, can you explain to me there for. 546 00:26:45,800 --> 00:26:49,760 Speaker 4: Why I need an AI PC or AI at the 547 00:26:49,880 --> 00:26:53,560 Speaker 4: edge rather than just using an app, the latest pot, 548 00:26:53,800 --> 00:26:56,320 Speaker 4: the latest chatchipt competitor. 549 00:26:56,920 --> 00:26:59,560 Speaker 2: There are a couple of things there, AI working on 550 00:27:00,320 --> 00:27:05,760 Speaker 2: the actual exchange between you as a consumer. 551 00:27:05,280 --> 00:27:07,680 Speaker 6: Or user and the PC and the hardware. 552 00:27:07,920 --> 00:27:11,760 Speaker 2: But then there's also, from a privacy perspective, the idea 553 00:27:11,840 --> 00:27:14,800 Speaker 2: that evving AI on d edge allows you not to 554 00:27:14,840 --> 00:27:16,199 Speaker 2: send your data to the cloud. 555 00:27:16,400 --> 00:27:17,280 Speaker 5: So there's a. 556 00:27:17,240 --> 00:27:20,639 Speaker 2: Privacy play, and there's a latency play, and to be honest, 557 00:27:20,720 --> 00:27:24,240 Speaker 2: there's a costplay that it comes comes in, especially from 558 00:27:24,280 --> 00:27:28,040 Speaker 2: a services perspective, right that running all these workloads in 559 00:27:28,119 --> 00:27:30,800 Speaker 2: the cloud is going to be expensive and somebody is 560 00:27:30,840 --> 00:27:32,840 Speaker 2: going to have to pay for the investment that the 561 00:27:32,920 --> 00:27:33,760 Speaker 2: vendors are making. 562 00:27:34,359 --> 00:27:38,120 Speaker 4: At the moment, it's being sucked up by the hyperscalers 563 00:27:38,160 --> 00:27:41,199 Speaker 4: and the companies that they're helping offer some of the 564 00:27:41,280 --> 00:27:42,600 Speaker 4: free access to compute. 565 00:27:42,680 --> 00:27:43,080 Speaker 6: Carolina. 566 00:27:43,119 --> 00:27:45,720 Speaker 4: I'm interested in particularly your role because I love the 567 00:27:45,720 --> 00:27:47,240 Speaker 4: turn of phrase that you said everyone can become a 568 00:27:47,280 --> 00:27:50,720 Speaker 4: power user. When you're using AI, you are quite literally 569 00:27:51,040 --> 00:27:53,800 Speaker 4: a user of power as well, and you're already focusing 570 00:27:53,840 --> 00:27:58,119 Speaker 4: on environmental social governance strategies for some of these tech players. 571 00:27:58,560 --> 00:28:01,080 Speaker 4: Is energy becoming the number one thing that people are 572 00:28:01,080 --> 00:28:01,480 Speaker 4: starting to. 573 00:28:01,480 --> 00:28:05,080 Speaker 2: Talk about one hundred percent? And I think that we 574 00:28:05,160 --> 00:28:07,560 Speaker 2: need to talk more about it because we hear a 575 00:28:07,560 --> 00:28:12,000 Speaker 2: lot about AI helping sustainability, but AI comes at a 576 00:28:12,119 --> 00:28:15,159 Speaker 2: cost as well from a sustainability perspective, and so that 577 00:28:15,320 --> 00:28:20,000 Speaker 2: intersection between the energy consumption that AI will require and 578 00:28:20,160 --> 00:28:24,280 Speaker 2: also the benefit that AI will bring in optimizing like 579 00:28:24,359 --> 00:28:27,600 Speaker 2: the grid as an example, is something that we need 580 00:28:27,640 --> 00:28:28,600 Speaker 2: to talk more about. 581 00:28:29,280 --> 00:28:33,560 Speaker 7: Krolyn Adell is celebrating its fortieth year. This is a 582 00:28:33,560 --> 00:28:36,359 Speaker 7: really important event. But are they celebrating it in a 583 00:28:36,400 --> 00:28:37,960 Speaker 7: position of strength in this market? 584 00:28:38,320 --> 00:28:39,160 Speaker 6: I think they do. 585 00:28:39,720 --> 00:28:42,080 Speaker 2: You know, as a company, they're very well trusted, as 586 00:28:42,080 --> 00:28:46,520 Speaker 2: I said, by the customers and partners. They have really 587 00:28:46,560 --> 00:28:50,920 Speaker 2: helped through digital transformations for years. They really did well 588 00:28:51,040 --> 00:28:54,560 Speaker 2: during COVID helping their customers through a very tough period. 589 00:28:55,000 --> 00:28:58,080 Speaker 2: And as a company, they have great leadership. I think 590 00:28:58,120 --> 00:29:01,520 Speaker 2: when you have a founder that is still driving the 591 00:29:01,640 --> 00:29:04,040 Speaker 2: day to day of a company, the things are different. 592 00:29:04,440 --> 00:29:07,680 Speaker 2: And they are strong on ESG as well. As Caroline said, 593 00:29:07,680 --> 00:29:11,120 Speaker 2: I care a lot about D and I and sustainability, 594 00:29:11,200 --> 00:29:13,680 Speaker 2: and they are a great company in a better respect 595 00:29:13,720 --> 00:29:14,360 Speaker 2: doing great work. 596 00:29:14,560 --> 00:29:17,880 Speaker 7: Carolina Milanacy Creative Strategies President and principle analyst, and I 597 00:29:17,920 --> 00:29:19,720 Speaker 7: actually took a lot from that that I think I 598 00:29:19,720 --> 00:29:22,760 Speaker 7: can carry over into the conversation with Michael Dell, Jensen, 599 00:29:22,800 --> 00:29:24,640 Speaker 7: Joe and Bill McDermott later today. 600 00:29:24,720 --> 00:29:25,640 Speaker 5: Caroline back to you. 601 00:29:25,520 --> 00:29:27,720 Speaker 4: In New York, So can I wait for that conversation. 602 00:29:27,840 --> 00:29:29,920 Speaker 4: It was a great one with Carolina. Meanwhile, coming out, 603 00:29:29,960 --> 00:29:32,160 Speaker 4: we've got some more conversing to do about Grayscale. The CEO, 604 00:29:32,240 --> 00:29:35,560 Speaker 4: Michael sonnershein departing the company after helping build it into 605 00:29:35,560 --> 00:29:37,240 Speaker 4: the world's largest scrypto asset manager. 606 00:29:37,760 --> 00:29:38,880 Speaker 6: Details next. 607 00:29:39,080 --> 00:29:41,320 Speaker 4: Meanwhile, let's have a quick look at instacart to break 608 00:29:41,480 --> 00:29:43,520 Speaker 4: There is a big conference going on in Boston as well. 609 00:29:43,640 --> 00:29:47,760 Speaker 4: The JP Morgan Tech Conference and Instacart. The CFO has 610 00:29:47,800 --> 00:29:50,720 Speaker 4: been speaking and looks as though Emily Reuter not having 611 00:29:50,720 --> 00:29:52,640 Speaker 4: the best of implications on the stock. Right now, we're 612 00:29:52,640 --> 00:29:55,120 Speaker 4: down by more than five percent. They're saying, basically they 613 00:29:55,160 --> 00:29:59,960 Speaker 4: do not expect to exceed their overall total transaction volume. 614 00:30:00,480 --> 00:30:03,680 Speaker 4: Their gross transaction volume guidance will not be exceeded. It 615 00:30:03,720 --> 00:30:05,480 Speaker 4: seems to be saying they want to be able to 616 00:30:05,480 --> 00:30:08,040 Speaker 4: deliver it though on their ebit DAR with some flexibility. 617 00:30:08,320 --> 00:30:10,360 Speaker 6: So perhaps a little bit of nervousness creeping in there. 618 00:30:10,840 --> 00:30:11,440 Speaker 6: From New York. 619 00:30:11,720 --> 00:30:31,920 Speaker 13: From Las Vegas, this is William bag Technology. 620 00:30:33,560 --> 00:30:35,520 Speaker 6: Let's talk about some roles changing. 621 00:30:35,720 --> 00:30:38,440 Speaker 4: After helping build gray Scale into the world's largest crypto 622 00:30:38,480 --> 00:30:41,960 Speaker 4: asset manager, the CEO Michael Sonnenshein is stepping down, joining 623 00:30:42,040 --> 00:30:45,000 Speaker 4: us with the latest of Blomberg Shnali Bassak an interesting 624 00:30:45,040 --> 00:30:46,280 Speaker 4: player coming to the four. 625 00:30:46,160 --> 00:30:46,920 Speaker 6: To be the CEO. 626 00:30:47,440 --> 00:30:49,680 Speaker 4: But in the meanwhile, I mean it just says to 627 00:30:49,720 --> 00:30:50,800 Speaker 4: pursue other interests. 628 00:30:50,840 --> 00:30:52,080 Speaker 6: Why is Michael stepping down? 629 00:30:52,160 --> 00:30:55,040 Speaker 14: This was certainly an interesting piece of news. Of course, 630 00:30:55,080 --> 00:30:57,880 Speaker 14: we know that Michael Sonnshine had helped Grayscale bring the 631 00:30:57,920 --> 00:31:02,000 Speaker 14: Bitcoin trust into ETF form so it was a surprise 632 00:31:02,080 --> 00:31:05,000 Speaker 14: here to see him stepping down. According to the Wall 633 00:31:05,040 --> 00:31:08,680 Speaker 14: Street Journals reporting, we have known that they were looking 634 00:31:08,720 --> 00:31:12,160 Speaker 14: at gray Scale for a successor a new CEO since 635 00:31:12,240 --> 00:31:14,840 Speaker 14: the end of last year, so before the ETF was 636 00:31:14,880 --> 00:31:17,720 Speaker 14: even approved. In the statement in and of itself, you 637 00:31:17,800 --> 00:31:21,320 Speaker 14: do have a Michael Sondenschein saying that the crypto asset 638 00:31:21,360 --> 00:31:23,720 Speaker 14: class is at an important inflection point and this is 639 00:31:23,760 --> 00:31:27,040 Speaker 14: the right moment for a smooth transition. So who's the 640 00:31:27,080 --> 00:31:30,400 Speaker 14: transition to your point, A Golden Sacks alumni who was 641 00:31:30,520 --> 00:31:34,200 Speaker 14: very senior in the leadership team running strategy at the 642 00:31:34,280 --> 00:31:37,760 Speaker 14: asset and wealth manager which is quickly approaching a three 643 00:31:37,880 --> 00:31:42,040 Speaker 14: trillion dollar assets under supervision over there over at Goldman Sachs. 644 00:31:42,120 --> 00:31:46,200 Speaker 14: So you had Michael Sonenschriink come into first institutionalize gray 645 00:31:46,240 --> 00:31:48,680 Speaker 14: Scale and the bitcoin business. But now you have an 646 00:31:48,720 --> 00:31:53,000 Speaker 14: even more institutional asset manager coming in that has that 647 00:31:53,080 --> 00:31:55,400 Speaker 14: kind of breadth of scale at a senior level at 648 00:31:55,440 --> 00:31:56,719 Speaker 14: a large asset management FIR. 649 00:31:56,760 --> 00:31:59,400 Speaker 4: Because how is ultimately gray Scale managing to fare against 650 00:31:59,400 --> 00:32:02,960 Speaker 4: the competition. Still is the largest, but it's quite expensive 651 00:32:02,960 --> 00:32:04,480 Speaker 4: in comparison to some of the other ets. 652 00:32:04,520 --> 00:32:06,560 Speaker 14: So it's interesting they're launching new products, so it'll be 653 00:32:06,600 --> 00:32:09,000 Speaker 14: interesting to see what customers flocked to at the end 654 00:32:09,040 --> 00:32:11,840 Speaker 14: of the day. Their bet, which paid out at the end, 655 00:32:12,120 --> 00:32:15,320 Speaker 14: was that even with some attrition, the higher fee structure 656 00:32:15,360 --> 00:32:17,760 Speaker 14: than some of the newer products here would be worth 657 00:32:17,760 --> 00:32:19,720 Speaker 14: it for them at the end of the day because 658 00:32:19,720 --> 00:32:22,400 Speaker 14: their asset base is just so large. And of course, 659 00:32:22,440 --> 00:32:26,320 Speaker 14: since the ETFs had launched, for a significant period of 660 00:32:26,360 --> 00:32:30,320 Speaker 14: time they did experience net app flows, but more recently 661 00:32:30,360 --> 00:32:34,560 Speaker 14: they have achieved net inflows on some days since we've 662 00:32:34,600 --> 00:32:36,400 Speaker 14: seen the ETF first launch. 663 00:32:36,560 --> 00:32:39,320 Speaker 4: Now this is all about the institutionalization of crypto. There 664 00:32:39,360 --> 00:32:41,880 Speaker 4: is one key naysayer that remains in the market. That 665 00:32:42,040 --> 00:32:44,520 Speaker 4: is Jamie Diamond, even if JP Morgan more broadly is 666 00:32:44,520 --> 00:32:47,400 Speaker 4: looking at the underlying technology and offering various crypto assets. 667 00:32:47,400 --> 00:32:49,600 Speaker 6: But we understand Jamie Diamond is currently. 668 00:32:49,280 --> 00:32:52,200 Speaker 4: Taking to the stage at his own tech conference happening 669 00:32:52,200 --> 00:32:53,000 Speaker 4: over in Boston. 670 00:32:53,480 --> 00:32:54,960 Speaker 6: It's got a lot to talk about when it comes 671 00:32:55,000 --> 00:32:56,920 Speaker 6: to tech and AI for example, he sure does. 672 00:32:56,960 --> 00:32:59,800 Speaker 14: And today's the company's own investor day that is happening, 673 00:32:59,840 --> 00:33:01,960 Speaker 14: and of course investors are reading the tea leaves on 674 00:33:01,960 --> 00:33:04,880 Speaker 14: how JP Morgan will invest moving forward. We just heard 675 00:33:04,880 --> 00:33:07,840 Speaker 14: from their investment banking heads who said that they're about 676 00:33:07,880 --> 00:33:11,680 Speaker 14: to invest across the entire venture ecosystem. So you have 677 00:33:11,720 --> 00:33:14,520 Speaker 14: them really doubling down on their client base that is 678 00:33:14,840 --> 00:33:17,880 Speaker 14: relegated to new technologies, and in and of their own 679 00:33:18,000 --> 00:33:20,760 Speaker 14: right too, they're talking about this idea at the asset 680 00:33:20,760 --> 00:33:24,000 Speaker 14: management side as well that every new hire we'll get 681 00:33:24,040 --> 00:33:27,320 Speaker 14: training an AI. Both sides of the business really pitching 682 00:33:27,440 --> 00:33:32,360 Speaker 14: how much these investments in technology are increasing productivity per worker. 683 00:33:32,560 --> 00:33:37,280 Speaker 14: They have things down to the specific amount of deals 684 00:33:37,280 --> 00:33:39,920 Speaker 14: and volumes that you will get more and say, for example, 685 00:33:39,960 --> 00:33:44,640 Speaker 14: middle market banking from this use of technology, and in 686 00:33:44,720 --> 00:33:47,720 Speaker 14: the asset manager as well. They kind of delineated here 687 00:33:47,880 --> 00:33:50,680 Speaker 14: the junior level employees and the senior level employees and 688 00:33:50,720 --> 00:33:53,280 Speaker 14: the different ways they're using AI to make those people's 689 00:33:53,360 --> 00:33:54,200 Speaker 14: jobs more efficient. 690 00:33:54,680 --> 00:33:57,920 Speaker 4: It's going to be fascinating. The investigation Investiday upon us. 691 00:33:58,000 --> 00:33:59,960 Speaker 4: We'll see what he has to say, should not invest side. 692 00:34:00,120 --> 00:34:02,240 Speaker 4: We thank her for taking us through all the movers 693 00:34:02,280 --> 00:34:05,640 Speaker 4: and shakers when it comes to well TRADFI and perhaps 694 00:34:05,760 --> 00:34:06,640 Speaker 4: slightly newer. 695 00:34:06,720 --> 00:34:06,960 Speaker 6: Five. 696 00:34:07,200 --> 00:34:10,480 Speaker 4: Let's talk about also what's been mentioning around artificial intelligence, 697 00:34:10,480 --> 00:34:13,080 Speaker 4: and open AI has said it's working to pause the 698 00:34:13,200 --> 00:34:16,239 Speaker 4: use of the sky voice from as updated GPT four. 699 00:34:16,320 --> 00:34:18,920 Speaker 4: Oh and that's his users seem to be claiming that 700 00:34:18,960 --> 00:34:21,719 Speaker 4: it sounded rather too like the actress Scarlet at you're Hansen. 701 00:34:21,880 --> 00:34:24,279 Speaker 4: Let's bring in blogs, Rachel mets for more, because there 702 00:34:24,320 --> 00:34:26,360 Speaker 4: is a lot to be digesting when it comes to 703 00:34:26,400 --> 00:34:29,680 Speaker 4: open ai. As always, Rachel, let's start with perhaps, is 704 00:34:29,719 --> 00:34:31,239 Speaker 4: this is stunt in some way? 705 00:34:31,520 --> 00:34:35,120 Speaker 6: Is this actually moving on real pushback? I mean, at one. 706 00:34:34,960 --> 00:34:39,120 Speaker 4: Point we had Sam Altman basically posting saying her we 707 00:34:39,160 --> 00:34:41,680 Speaker 4: will therefore anticipate in that the voice sounded rather like 708 00:34:41,680 --> 00:34:42,480 Speaker 4: Scarlett your hadson. 709 00:34:43,640 --> 00:34:46,040 Speaker 15: Yeah, I mean so this is one of several voices 710 00:34:46,120 --> 00:34:49,080 Speaker 15: that they have in chat GBT in the app that 711 00:34:49,120 --> 00:34:52,839 Speaker 15: they launched last year. And I mean, yeah, you could 712 00:34:52,880 --> 00:34:55,640 Speaker 15: say it does have a bit of a her sort 713 00:34:55,640 --> 00:34:57,000 Speaker 15: of voice too. It I mean, it's a friend, it's 714 00:34:57,000 --> 00:35:00,160 Speaker 15: a friendly sounding, female sounding voice. I th a lot 715 00:35:00,200 --> 00:35:02,880 Speaker 15: of people when an Opening Eye had its most recent 716 00:35:02,920 --> 00:35:06,239 Speaker 15: event and a debut its new model started to say 717 00:35:06,280 --> 00:35:08,640 Speaker 15: that they started to think that it sounded a little 718 00:35:08,640 --> 00:35:11,479 Speaker 15: bit like that. It's one of these of these several 719 00:35:11,560 --> 00:35:13,240 Speaker 15: voices and they all sound kind of different. 720 00:35:13,600 --> 00:35:16,000 Speaker 4: Yeah, and it's worth saying that Open AI says, this 721 00:35:16,120 --> 00:35:19,240 Speaker 4: isn't Scarling and Hansen. This is a totally different actress 722 00:35:19,280 --> 00:35:21,879 Speaker 4: that's been based upon. But we all think about that 723 00:35:21,920 --> 00:35:24,759 Speaker 4: movie where of course someone falls in love with a 724 00:35:24,800 --> 00:35:29,960 Speaker 4: female artificial intelligence and product, but Rachel. What's also happening 725 00:35:30,040 --> 00:35:32,040 Speaker 4: is quite a bit of tumult under the surface. You're 726 00:35:32,080 --> 00:35:35,680 Speaker 4: reporting that, of course, a super Alignment team disbanded after 727 00:35:35,840 --> 00:35:38,520 Speaker 4: the two key sectors that left led it have left, 728 00:35:38,840 --> 00:35:41,319 Speaker 4: and there's also a lot of talk about ultimately the 729 00:35:41,360 --> 00:35:43,920 Speaker 4: pay of certain people over an apen AI if they 730 00:35:43,920 --> 00:35:44,640 Speaker 4: do and do leave. 731 00:35:45,960 --> 00:35:48,520 Speaker 15: Yeah, there's a work going on there this past week, 732 00:35:48,600 --> 00:35:50,920 Speaker 15: so the super Alignment team, to be clear, these are 733 00:35:50,960 --> 00:35:56,680 Speaker 15: people that are thinking about how they would protect people 734 00:35:56,880 --> 00:35:59,480 Speaker 15: against a superhuman type of AI. This is something that 735 00:35:59,520 --> 00:36:01,640 Speaker 15: does not exists at this point in time, So let's 736 00:36:01,680 --> 00:36:03,719 Speaker 15: just be super clear about that that that's what they're 737 00:36:03,719 --> 00:36:07,160 Speaker 15: working on. Opening I has multiple safety teams. This was 738 00:36:07,160 --> 00:36:10,280 Speaker 15: one of them and it was announced last year Ilia 739 00:36:10,360 --> 00:36:14,040 Speaker 15: Seskper and Yan Leek they were the two leaders and 740 00:36:14,719 --> 00:36:17,399 Speaker 15: Illy left and then Yan left. This all happened last 741 00:36:17,440 --> 00:36:20,840 Speaker 15: week in really quick succession, and in the wake of 742 00:36:20,880 --> 00:36:22,960 Speaker 15: that opening, I said, you know what, we're going to 743 00:36:23,040 --> 00:36:26,680 Speaker 15: be folding. We're dissolving the team essentially and folding the 744 00:36:26,719 --> 00:36:28,879 Speaker 15: people and the stuff that they were working on into 745 00:36:28,920 --> 00:36:33,120 Speaker 15: other teams. As for a compensation, yeah, there's there's definitely 746 00:36:33,160 --> 00:36:36,560 Speaker 15: been some talk about what happens when people leave Open AI, 747 00:36:36,760 --> 00:36:39,239 Speaker 15: if they can talk about their experiences there, and if 748 00:36:39,280 --> 00:36:42,359 Speaker 15: that if they may have some of their compensation taken 749 00:36:42,400 --> 00:36:45,560 Speaker 15: away due to that, well. 750 00:36:45,400 --> 00:36:46,800 Speaker 6: I know they'll continue to report. 751 00:36:46,840 --> 00:36:50,160 Speaker 4: I think many feel that well, sometimes they're sucking up 752 00:36:50,200 --> 00:36:51,960 Speaker 4: all the oxygen in the room where it comes to 753 00:36:52,040 --> 00:36:54,279 Speaker 4: their products, and sometimes of course the teams who are 754 00:36:54,280 --> 00:36:56,840 Speaker 4: building it. But Rachel Mets, we thank you for keeping 755 00:36:56,920 --> 00:36:59,080 Speaker 4: us clean on all things Open AI and what actually 756 00:36:59,120 --> 00:37:19,960 Speaker 4: is happening from a proper perspective there too. 757 00:37:20,160 --> 00:37:20,800 Speaker 6: There it goes. 758 00:37:21,360 --> 00:37:25,960 Speaker 4: Yesterday, Jeff Bezos's Blue Origin successfully relaunching its space tourism 759 00:37:26,040 --> 00:37:28,120 Speaker 4: business sixty miles into the sky. 760 00:37:28,600 --> 00:37:31,120 Speaker 6: This flight is Blue Orangin's first tourist. 761 00:37:30,840 --> 00:37:32,520 Speaker 4: Mission on New Shepherd since all the way back to 762 00:37:32,520 --> 00:37:35,480 Speaker 4: August twenty twenty two, turning us to break down why 763 00:37:35,600 --> 00:37:37,200 Speaker 4: and what they've got right this time? Is Blue most 764 00:37:37,239 --> 00:37:39,400 Speaker 4: law and grush, and it was put on ice for 765 00:37:39,440 --> 00:37:42,680 Speaker 4: a while after some technical issues, luckily when there weren't 766 00:37:42,719 --> 00:37:44,320 Speaker 4: actually traveling tourists on board. 767 00:37:45,480 --> 00:37:47,279 Speaker 1: Right, It's a site we haven't seen in a while. 768 00:37:47,320 --> 00:37:50,320 Speaker 1: It's been a nearly two year hiatus for space tourism 769 00:37:50,320 --> 00:37:53,040 Speaker 1: missions for Blue Origin, as you mentioned, last one was 770 00:37:53,040 --> 00:37:55,640 Speaker 1: in August of twenty twenty two, and then the following 771 00:37:55,640 --> 00:37:59,120 Speaker 1: month in September, they had an issue on one of 772 00:37:59,120 --> 00:38:02,319 Speaker 1: their flights mid flight. Luckily no one was on board 773 00:38:02,400 --> 00:38:04,840 Speaker 1: that trip, but they did have an engine failure that 774 00:38:04,960 --> 00:38:07,960 Speaker 1: caused them to put flights on pause while they figured 775 00:38:07,960 --> 00:38:08,840 Speaker 1: out what went wrong. 776 00:38:09,560 --> 00:38:12,480 Speaker 4: And let's talk about what went wrong and what therefore 777 00:38:12,560 --> 00:38:14,600 Speaker 4: goes right now, because the aim is to have a 778 00:38:14,640 --> 00:38:16,759 Speaker 4: bigger rocket. The aim is to not just be doing 779 00:38:16,760 --> 00:38:19,680 Speaker 4: tourism some sixty miles up right. 780 00:38:19,760 --> 00:38:22,520 Speaker 1: So, as Blue Origin investigated, they found there was an 781 00:38:22,560 --> 00:38:26,120 Speaker 1: issue with an engine nozzle that caused the rocket to 782 00:38:26,200 --> 00:38:29,839 Speaker 1: veer off course. They spent the majority of last year 783 00:38:30,040 --> 00:38:32,600 Speaker 1: not launching, trying to figure it out, working with the 784 00:38:32,680 --> 00:38:36,880 Speaker 1: FA to redesign that nozzle and to put corrective actions 785 00:38:36,880 --> 00:38:39,440 Speaker 1: in place, and then they ultimately did return to flight 786 00:38:39,800 --> 00:38:42,799 Speaker 1: in December, but that was also an unproved flight, so 787 00:38:42,880 --> 00:38:45,240 Speaker 1: this is the first time they actually put people on board. 788 00:38:45,280 --> 00:38:47,399 Speaker 1: But yes, this is just a small part of Blue 789 00:38:47,440 --> 00:38:50,680 Speaker 1: Origins overall strategy. They have plans to launch an even 790 00:38:50,719 --> 00:38:53,680 Speaker 1: bigger rocket called New Glen that will go to orbit, 791 00:38:54,440 --> 00:38:57,840 Speaker 1: you know, later this year. That rocket has been delayed 792 00:38:57,920 --> 00:38:59,640 Speaker 1: quite a few times, so it still remains to be 793 00:38:59,680 --> 00:39:02,040 Speaker 1: seen if they'll meet that deadline. But yes, there are 794 00:39:02,080 --> 00:39:04,400 Speaker 1: even grander ambitions on the horizon. 795 00:39:04,680 --> 00:39:09,759 Speaker 4: And maybe taking some competition to SpaceX, which really dominates 796 00:39:09,760 --> 00:39:12,440 Speaker 4: in this field. It's notable that there's another delay Boeing 797 00:39:12,560 --> 00:39:15,520 Speaker 4: Zone spacecraft being delayed, pushed back to what may twenty 798 00:39:15,520 --> 00:39:17,760 Speaker 4: fifth now, Yes. 799 00:39:17,680 --> 00:39:22,120 Speaker 1: So we are on Starliner watch Boeing Space Taxi. The 800 00:39:22,200 --> 00:39:25,160 Speaker 1: CST one hundred Starliner, which is meant to transport NASA 801 00:39:25,200 --> 00:39:28,600 Speaker 1: astronauts to and from the International Space Station, is supposed 802 00:39:28,600 --> 00:39:31,480 Speaker 1: to be conducting its first crude test flight, so sending 803 00:39:31,480 --> 00:39:36,160 Speaker 1: two NASA astronauts to the ISS. And unfortunately that launch 804 00:39:36,160 --> 00:39:39,040 Speaker 1: has been a moving target. In fact, we were anticipating 805 00:39:39,080 --> 00:39:42,439 Speaker 1: it happening as early as tomorrow, but Boeing found an 806 00:39:42,640 --> 00:39:45,919 Speaker 1: helium leak that they are trying to figure out whether 807 00:39:46,040 --> 00:39:48,400 Speaker 1: or not they can fly with it, and the current 808 00:39:48,480 --> 00:39:53,600 Speaker 1: target time is Saturday, but again this is an early 809 00:39:53,640 --> 00:39:56,359 Speaker 1: crude test flight, so it could possibly move again. 810 00:39:56,640 --> 00:40:00,160 Speaker 4: And it just reminds us a how difficult this is be, 811 00:40:00,239 --> 00:40:03,680 Speaker 4: how expensive it is as well. And to that point, 812 00:40:04,040 --> 00:40:07,840 Speaker 4: what is the ultimate goal, what sort of marketshed GDP 813 00:40:08,480 --> 00:40:11,759 Speaker 4: of these companies trying to build, create, or just take 814 00:40:11,800 --> 00:40:12,840 Speaker 4: a chunk out of. 815 00:40:14,040 --> 00:40:15,880 Speaker 1: I think it's really just seeing if there is a 816 00:40:15,960 --> 00:40:18,040 Speaker 1: market for people who want to go to space. I mean, 817 00:40:18,239 --> 00:40:20,640 Speaker 1: what Blue Origin is doing is slightly different for what 818 00:40:20,680 --> 00:40:24,040 Speaker 1: Boeing is doing. Boeing has a NASA contract and so 819 00:40:24,080 --> 00:40:26,360 Speaker 1: they have kind of they're on the hook for sending 820 00:40:26,640 --> 00:40:30,120 Speaker 1: NASA astronauts to the International Space Station. With Blue Origin, 821 00:40:30,360 --> 00:40:34,440 Speaker 1: you know, they're basically tapping into this new growing market 822 00:40:34,520 --> 00:40:38,520 Speaker 1: of whether you know, wealthy tourists going to space and back. 823 00:40:38,600 --> 00:40:40,680 Speaker 1: And you know, ultimately they could try and scale it 824 00:40:40,760 --> 00:40:43,400 Speaker 1: up when new Glenn comes into the fold, but you know, 825 00:40:43,440 --> 00:40:47,279 Speaker 1: it really is early days and as we've seen, one 826 00:40:47,360 --> 00:40:50,600 Speaker 1: small engine park can easily take the vehicle out of 827 00:40:50,600 --> 00:40:53,680 Speaker 1: commission for over a year or so. So it just 828 00:40:53,800 --> 00:40:56,200 Speaker 1: remains to be seen if this is an actual market 829 00:40:56,239 --> 00:40:59,800 Speaker 1: that is lucrative, but we're finding out as the years progress. 830 00:41:00,360 --> 00:41:04,080 Speaker 4: One small nozzle issue, many months on ice Lang Grush 831 00:41:04,200 --> 00:41:07,400 Speaker 4: always on spacewatch. We thank you so much for it. Meanwhile, 832 00:41:07,400 --> 00:41:09,359 Speaker 4: we're always on share watch for you. We just want 833 00:41:09,360 --> 00:41:11,439 Speaker 4: to shine light what's happening with JP Morgan at the moment, 834 00:41:11,600 --> 00:41:13,040 Speaker 4: Shares under pressure at the moment. 835 00:41:13,400 --> 00:41:14,439 Speaker 6: This as well. 836 00:41:14,440 --> 00:41:17,000 Speaker 4: We've heard from Jamie Diamond, the CEO. It's the investor day. 837 00:41:17,000 --> 00:41:19,160 Speaker 4: We're just talk talking about it with Shinelie Bassak. He's 838 00:41:19,160 --> 00:41:22,040 Speaker 4: sending some declines after Jamie Diamond just talked about how 839 00:41:22,080 --> 00:41:24,719 Speaker 4: expensive it would be basically to buy back stock, and 840 00:41:24,760 --> 00:41:26,640 Speaker 4: he's saying he's not going to buy back a lot 841 00:41:26,640 --> 00:41:30,359 Speaker 4: of stock these prices. His prices dip a bit on 842 00:41:30,400 --> 00:41:33,480 Speaker 4: the suggestion that there'll be less demand for buybacks. Meanwhile, 843 00:41:33,520 --> 00:41:36,800 Speaker 4: sticking with well the stock market more broadly and some news, 844 00:41:36,840 --> 00:41:39,640 Speaker 4: turning to breaking news from the New York Times, Ivan 845 00:41:39,719 --> 00:41:41,359 Speaker 4: Bowski has died now. 846 00:41:41,400 --> 00:41:44,960 Speaker 6: He inspired the Gordon Gecko character in the film Wall Street. 847 00:41:45,200 --> 00:41:47,280 Speaker 4: He made a lot of money from inside of trading, 848 00:41:47,440 --> 00:41:48,960 Speaker 4: and he went to prison for his crimes. 849 00:41:49,520 --> 00:41:50,360 Speaker 6: He was eighty seven.