1 00:00:01,440 --> 00:00:05,760 Speaker 1: From Mahard. We're Innovation, Money and Power Collie in Silicon 2 00:00:05,880 --> 00:00:10,280 Speaker 1: Vallet NBN. This is Bloomberg Technology with Caroline Hyde and 3 00:00:10,520 --> 00:00:11,120 Speaker 1: Ed Ludlow. 4 00:00:25,280 --> 00:00:28,360 Speaker 2: Ed Ludlow here in San Francisco, Caroline hides off today. 5 00:00:28,560 --> 00:00:31,680 Speaker 2: This is Bloomberg Technology coming up on the program. Full 6 00:00:31,720 --> 00:00:35,440 Speaker 2: coverage of the tech companies making headlines, from Virgin Galactics 7 00:00:35,720 --> 00:00:39,479 Speaker 2: spaceflight to Micron's earnings, and even Coinbase calling for a 8 00:00:39,520 --> 00:00:41,520 Speaker 2: dismissal of its sec suit. 9 00:00:41,560 --> 00:00:42,320 Speaker 3: We got you covered. 10 00:00:42,680 --> 00:00:46,320 Speaker 2: Plus AI video startup Runway raising an additional one hundred 11 00:00:46,320 --> 00:00:50,199 Speaker 2: and forty million from Google, Nvidia and other investors. We 12 00:00:50,240 --> 00:00:53,720 Speaker 2: had the exclusive interview with the CEO and you may 13 00:00:53,800 --> 00:00:57,080 Speaker 2: know him from Man Versus Wild, but now Bear Grills 14 00:00:57,440 --> 00:01:02,360 Speaker 2: is tackling disinformation and pushing for digital literacy using AI. 15 00:01:02,680 --> 00:01:06,440 Speaker 2: He joins us later this hour to discuss his new initiative. 16 00:01:06,480 --> 00:01:08,479 Speaker 2: Let's get a check in on the Micron. Micron giving 17 00:01:08,480 --> 00:01:11,319 Speaker 2: a bullish outlook suggesting that we're coming out of the 18 00:01:11,360 --> 00:01:14,440 Speaker 2: trough when it comes from memory chips, but the market's 19 00:01:14,480 --> 00:01:17,120 Speaker 2: not buying it. There is debate on the street about 20 00:01:17,160 --> 00:01:21,000 Speaker 2: whether this recovery the micro has outlined is going to 21 00:01:21,080 --> 00:01:23,600 Speaker 2: happen as they suggest, Let's get the reaction in the 22 00:01:23,640 --> 00:01:27,600 Speaker 2: analysis and bring in Bloomberg's Mandeep saying of Bloomberg Intelligence 23 00:01:27,640 --> 00:01:29,800 Speaker 2: man deep the recovery the trough. 24 00:01:30,240 --> 00:01:33,160 Speaker 3: Are you buying it well? So they had some mixed 25 00:01:33,240 --> 00:01:33,760 Speaker 3: data points. 26 00:01:33,800 --> 00:01:37,760 Speaker 4: If you look at the guidance, clearly that was above consensus. 27 00:01:37,800 --> 00:01:41,119 Speaker 4: But when you look at the inventory days going up 28 00:01:41,120 --> 00:01:44,959 Speaker 4: to one sixty five from one fifty, we thought, you know, 29 00:01:45,000 --> 00:01:47,400 Speaker 4: their fiscal two Q the last quarter was going to 30 00:01:47,400 --> 00:01:51,000 Speaker 4: be the peak. So clearly they're writing down less inventory. 31 00:01:51,080 --> 00:01:54,200 Speaker 4: Last quarter they wrote about one point four billion. This quarter, 32 00:01:54,240 --> 00:01:57,680 Speaker 4: they only wrote four hundred million dollar off inventory. And 33 00:01:57,760 --> 00:02:00,640 Speaker 4: they didn't give us enough data points around their Generative 34 00:02:00,640 --> 00:02:04,920 Speaker 4: AI exposure. They talked about how bandwidth high bandwidth memory, 35 00:02:05,360 --> 00:02:08,239 Speaker 4: but they didn't give us like quantification of how much 36 00:02:08,280 --> 00:02:11,320 Speaker 4: exposure it is, how it's gonna ram. So that's why 37 00:02:11,560 --> 00:02:14,320 Speaker 4: I would say it was a mixed quarter. But look, 38 00:02:14,400 --> 00:02:15,800 Speaker 4: I mean, at the end of the day, there are 39 00:02:15,800 --> 00:02:19,160 Speaker 4: three players in memory, and if generative AI is a 40 00:02:19,200 --> 00:02:22,720 Speaker 4: secular Tilwyn and we are in the early innings, I 41 00:02:23,120 --> 00:02:26,440 Speaker 4: think you could extrapolate that there will be memory demand 42 00:02:26,680 --> 00:02:29,760 Speaker 4: just because it goes hand in hand with the chip 43 00:02:30,000 --> 00:02:31,359 Speaker 4: and the computer capacity. 44 00:02:32,080 --> 00:02:34,960 Speaker 2: I love nerding out on d RAM and nand I 45 00:02:34,960 --> 00:02:37,639 Speaker 2: always love nerding out in DRAM and Nand the thing is, 46 00:02:37,680 --> 00:02:41,200 Speaker 2: it's such a commoditized chip. And the story that Micron 47 00:02:41,360 --> 00:02:44,320 Speaker 2: was trying to paint was that all of the laptop makers, 48 00:02:44,400 --> 00:02:48,400 Speaker 2: PC makers, smartphone makers, they built up the inventory, and 49 00:02:48,440 --> 00:02:51,079 Speaker 2: they'd work through the inventory and they were going to 50 00:02:51,160 --> 00:02:55,080 Speaker 2: start ordering again. But actually that kind of contrasted with 51 00:02:55,160 --> 00:02:58,359 Speaker 2: the outlook for the markets. How many PCs we think 52 00:02:58,360 --> 00:03:01,280 Speaker 2: will ship this year, how many smartphones we think will 53 00:03:01,280 --> 00:03:04,639 Speaker 2: ship this year? What did you learn, Mandy through Micron's 54 00:03:04,639 --> 00:03:05,720 Speaker 2: commentary in that respect. 55 00:03:06,000 --> 00:03:09,000 Speaker 4: Yeah, so they lured their PC shipment forecast for this 56 00:03:09,160 --> 00:03:13,880 Speaker 4: year smartphone shipment as well. They lured it by a 57 00:03:13,880 --> 00:03:17,720 Speaker 4: couple of percentage points. So, look, I think near term, 58 00:03:17,960 --> 00:03:21,679 Speaker 4: given their high exposure to PCs and smartphones that makes 59 00:03:21,760 --> 00:03:25,120 Speaker 4: up almost seventy percent of you know, their DRAM sales. 60 00:03:25,240 --> 00:03:29,680 Speaker 4: So you could argue that given the high exposure they 61 00:03:29,720 --> 00:03:32,920 Speaker 4: have to these two pockets, which are unlikely to recover 62 00:03:33,000 --> 00:03:35,640 Speaker 4: in the second half, it makes sense, you know that 63 00:03:36,320 --> 00:03:38,600 Speaker 4: they still have work to do in terms of working 64 00:03:38,640 --> 00:03:41,480 Speaker 4: through the inventory and the orders aren't going to come 65 00:03:41,560 --> 00:03:44,360 Speaker 4: back so soon, and they're cutting back supply, which I 66 00:03:44,400 --> 00:03:47,040 Speaker 4: think is a positive. When you think about the dynamics 67 00:03:47,120 --> 00:03:51,360 Speaker 4: of a commoditized space, the supply demand balance is key. 68 00:03:51,440 --> 00:03:55,320 Speaker 4: So they are reducing their supply. They would hope Samsung 69 00:03:55,360 --> 00:03:57,360 Speaker 4: and s k Heinis are doing the same. And what 70 00:03:57,400 --> 00:03:59,560 Speaker 4: it could do down the line, you know, second half 71 00:03:59,600 --> 00:04:02,320 Speaker 4: to twenty twenty four or twenty twenty five, is you 72 00:04:02,360 --> 00:04:05,120 Speaker 4: could see a big pop in pricing because right now 73 00:04:05,240 --> 00:04:09,280 Speaker 4: pricing declines are moderating, but no one is expecting prices 74 00:04:09,320 --> 00:04:12,360 Speaker 4: to go up for memory. If the supply demand balance 75 00:04:12,440 --> 00:04:15,240 Speaker 4: is restored, you could see that pricing pop up given 76 00:04:15,280 --> 00:04:17,600 Speaker 4: the tail Vince we're talking about from generator to AI. 77 00:04:18,360 --> 00:04:21,000 Speaker 2: Here on Bloomberg Technology, we follow the d ram man 78 00:04:21,040 --> 00:04:22,479 Speaker 2: neat seeing of Bloomberg Intelligence. 79 00:04:22,520 --> 00:04:24,760 Speaker 3: Thank you very much. So let's get out to New Mexico. 80 00:04:24,920 --> 00:04:29,039 Speaker 2: Virgin Galactic officially launching and landing in the last few 81 00:04:29,040 --> 00:04:31,720 Speaker 2: minutes its first ever commercial spaceflight. 82 00:04:31,760 --> 00:04:33,720 Speaker 3: Bloomberg's Lauren Grush. 83 00:04:33,720 --> 00:04:36,680 Speaker 2: Space reporter in chief, out there in New Mexico. Lauren, 84 00:04:36,760 --> 00:04:37,440 Speaker 2: what just happened? 85 00:04:38,360 --> 00:04:40,960 Speaker 5: Well, actually you just missed it. The crew just arrived 86 00:04:41,000 --> 00:04:45,279 Speaker 5: back from their spaceflight here at the Spaceport America, everyone celebrating. 87 00:04:45,320 --> 00:04:47,039 Speaker 5: You might be able to hear some cheers next to me. 88 00:04:47,080 --> 00:04:49,960 Speaker 5: At the moment. It's all smiles as a picture perfect 89 00:04:49,960 --> 00:04:52,640 Speaker 5: flight today. Unfortunately you might see the clouds behind me. 90 00:04:53,120 --> 00:04:55,839 Speaker 5: They did obscure our view here from the ground, but 91 00:04:55,960 --> 00:04:58,040 Speaker 5: everything went smooth during the actual flight. 92 00:04:58,880 --> 00:05:00,920 Speaker 2: Okay, So the context of this mission is it's the 93 00:05:00,920 --> 00:05:04,719 Speaker 2: first commercial mission, the sixth in total that they've breached 94 00:05:04,720 --> 00:05:08,880 Speaker 2: the fifty mile mark above Earth's atmosphere. It seems strange 95 00:05:08,920 --> 00:05:11,400 Speaker 2: to kind of look so far ahead, but what's next? 96 00:05:11,520 --> 00:05:13,520 Speaker 2: I mean, what is Virgin Galactic going to do? Because 97 00:05:13,520 --> 00:05:16,599 Speaker 2: this is a company that has struggled for years, had 98 00:05:16,600 --> 00:05:20,080 Speaker 2: some real tragedy, and is way behind its original schedule. 99 00:05:22,080 --> 00:05:24,599 Speaker 5: I mean, it really was leading all to this point, right, 100 00:05:24,640 --> 00:05:27,080 Speaker 5: And so what happens next is they need to start 101 00:05:27,160 --> 00:05:29,880 Speaker 5: launching regularly, and then they need to up the frequency 102 00:05:29,920 --> 00:05:32,279 Speaker 5: of their launches. So the plan at the moment is 103 00:05:32,320 --> 00:05:34,720 Speaker 5: to do monthly launches here on out. The next one 104 00:05:34,760 --> 00:05:37,880 Speaker 5: is scheduled for August. This today's flight was a research 105 00:05:37,960 --> 00:05:40,520 Speaker 5: mission with the Italian Air Force, but soon they're going 106 00:05:40,520 --> 00:05:43,680 Speaker 5: to be opening up to that eight hundred list of 107 00:05:43,760 --> 00:05:46,719 Speaker 5: private astronauts that they signed up many years ago. So 108 00:05:46,720 --> 00:05:51,120 Speaker 5: soon we might be seeing some high earning flyers fly, 109 00:05:51,720 --> 00:05:53,040 Speaker 5: potentially as soon as August. 110 00:05:54,120 --> 00:05:58,640 Speaker 2: Okay, so the dual fusilage aeroplane takes the craft to 111 00:05:58,720 --> 00:06:03,680 Speaker 2: fifty thousand feet, they separate ignition seventy second, burn fifty miles. 112 00:06:03,920 --> 00:06:06,680 Speaker 2: What was that experience like on the ground? Is their 113 00:06:06,720 --> 00:06:10,240 Speaker 2: nervousness there at Spaceport America? How is your heart racing, Lauren? 114 00:06:11,520 --> 00:06:13,960 Speaker 5: Oh, definitely, there's a thing that I like to call 115 00:06:14,040 --> 00:06:16,800 Speaker 5: launch nerves that happens with every single flight, whether it's 116 00:06:16,839 --> 00:06:19,520 Speaker 5: say rocket that launches from the ground or one like 117 00:06:19,600 --> 00:06:22,480 Speaker 5: Virgin Galactics that takes off from the air. Definitely, in 118 00:06:22,520 --> 00:06:25,159 Speaker 5: the seconds beforehand, you can feel the energy kind of 119 00:06:25,279 --> 00:06:28,760 Speaker 5: started to tighten on the ground. We were hoping to 120 00:06:28,800 --> 00:06:31,760 Speaker 5: see the ignition ourselves, but we didn't see it. 121 00:06:31,800 --> 00:06:33,120 Speaker 1: However, we were able to watch. 122 00:06:33,000 --> 00:06:35,160 Speaker 5: It from the live stream. They had big cameras out here, 123 00:06:35,400 --> 00:06:37,360 Speaker 5: and once that happened, you know, everyone just kind of 124 00:06:37,440 --> 00:06:40,839 Speaker 5: let out that relief and cheers and claps and applause 125 00:06:40,880 --> 00:06:43,279 Speaker 5: were happening. So it was a really special moment to 126 00:06:43,360 --> 00:06:46,160 Speaker 5: be here among all of the employees who've worked really 127 00:06:46,200 --> 00:06:48,120 Speaker 5: hard to get to this point because it has been 128 00:06:48,160 --> 00:06:49,719 Speaker 5: a very long time in the making for them. 129 00:06:50,320 --> 00:06:52,640 Speaker 3: All Right, Bluemos Lauren Grush on the ground in New Mexico. 130 00:06:52,720 --> 00:06:55,320 Speaker 2: She messaged me in the moment and said, sonic boom 131 00:06:55,440 --> 00:06:57,600 Speaker 2: as it was coming back down. Thank you for your 132 00:06:57,680 --> 00:07:00,479 Speaker 2: live reporting. We'll stick with you throughout the day, I'm sure. 133 00:07:00,520 --> 00:07:05,240 Speaker 2: Now next up Coinbase looking to get their sec lawsuit dismissed, 134 00:07:05,320 --> 00:07:08,599 Speaker 2: saying it lacks merit. Earlier we spoke to the company's 135 00:07:08,640 --> 00:07:10,480 Speaker 2: chief legal off Sir Paul greul. 136 00:07:11,320 --> 00:07:16,440 Speaker 6: Or an exchange a commission to now claim two years later, 137 00:07:16,600 --> 00:07:19,400 Speaker 6: more than two years later, somehow we were running an 138 00:07:19,480 --> 00:07:23,600 Speaker 6: unlawful enterprise when their mandate requires to consider the protection 139 00:07:23,760 --> 00:07:29,120 Speaker 6: investors and their very namely requires them to apply the 140 00:07:29,200 --> 00:07:32,160 Speaker 6: expertise and securities and exchanges. 141 00:07:31,880 --> 00:07:33,800 Speaker 3: It doesn't, It doesn't make any sense. 142 00:07:34,720 --> 00:07:37,640 Speaker 2: Let's bring in Broomberg, Shnali Bassack, who conducted that interview. 143 00:07:37,640 --> 00:07:38,720 Speaker 3: Shnali, what else did you then? 144 00:07:38,920 --> 00:07:39,600 Speaker 1: Yeah, a few things. 145 00:07:39,600 --> 00:07:42,080 Speaker 7: First of all, remember our coinbasis stock has been flying 146 00:07:42,120 --> 00:07:44,160 Speaker 7: in the face of a lot of these crackdowns this year. 147 00:07:44,200 --> 00:07:47,360 Speaker 7: It's more than one hundred percent ed this year, and 148 00:07:47,520 --> 00:07:49,880 Speaker 7: at the same time you have it up today as well. 149 00:07:49,880 --> 00:07:51,400 Speaker 1: This is more than one hundred page. 150 00:07:51,240 --> 00:07:55,360 Speaker 7: Response that coinbas has filed against the SEC saying that 151 00:07:55,440 --> 00:07:58,320 Speaker 7: it intends to ask to dismiss this case, saying that 152 00:07:58,320 --> 00:08:01,280 Speaker 7: it goes beyond existing law. Now listen, One interesting part 153 00:08:01,320 --> 00:08:03,600 Speaker 7: of this is the argument that they make about the 154 00:08:03,640 --> 00:08:06,120 Speaker 7: SEC allowing for the IPO in the first place and 155 00:08:06,200 --> 00:08:08,080 Speaker 7: going through the disclosure forms already. 156 00:08:08,400 --> 00:08:11,520 Speaker 1: Our own Bloomberg reporter Oli Vspiel makes this great point. 157 00:08:11,320 --> 00:08:14,240 Speaker 7: That a lot of securities experts wonder whether you know, 158 00:08:14,320 --> 00:08:18,200 Speaker 7: really this is about the SEC requiring disclosure more than 159 00:08:18,800 --> 00:08:22,720 Speaker 7: identifying the legalities inside of a coinbase's business, which lists 160 00:08:22,760 --> 00:08:25,240 Speaker 7: more tokens now than it did at that time. It's 161 00:08:25,240 --> 00:08:28,200 Speaker 7: certainly a very interesting case and a bell weather for 162 00:08:28,280 --> 00:08:31,600 Speaker 7: so much of this industry. And it also comes at 163 00:08:31,640 --> 00:08:35,800 Speaker 7: the same time as coinbase being listed as the custodian 164 00:08:35,920 --> 00:08:38,680 Speaker 7: for black rocks ETF tied. 165 00:08:38,480 --> 00:08:39,480 Speaker 1: To spot Bitcoin. 166 00:08:39,600 --> 00:08:42,800 Speaker 7: So really, on two fronts here, one is a very 167 00:08:42,840 --> 00:08:45,679 Speaker 7: tense story, another one is one of hope that that 168 00:08:45,760 --> 00:08:48,080 Speaker 7: will be approved that bitcoining TF sometimes soon. 169 00:08:48,800 --> 00:08:49,679 Speaker 3: So I'm looking at shares. 170 00:08:49,679 --> 00:08:52,120 Speaker 2: We're up two point four percent in the session, right, 171 00:08:52,160 --> 00:08:54,960 Speaker 2: they want the suit thrown out. So is this a 172 00:08:55,000 --> 00:08:58,600 Speaker 2: real legal move or is this posturing in a bigger process. 173 00:08:58,720 --> 00:09:00,800 Speaker 7: Well, listen, not only do you have Paul Growell, who's 174 00:09:00,800 --> 00:09:04,880 Speaker 7: the chief legal officer formerly worked at Facebook, seriously in 175 00:09:05,000 --> 00:09:08,520 Speaker 7: tune with the innovative landscape out there, not his first rodeo. 176 00:09:08,640 --> 00:09:11,080 Speaker 7: You also have them working with Sullivan and Cromwell, which 177 00:09:11,120 --> 00:09:13,160 Speaker 7: is one of the biggest financial law firms in the world. 178 00:09:13,240 --> 00:09:15,360 Speaker 1: Walk tell more than Hudre and pay lawsuit. 179 00:09:15,440 --> 00:09:17,679 Speaker 7: We've had them tell us a few times now that 180 00:09:17,800 --> 00:09:20,160 Speaker 7: they would take this to the Supreme Court if need be. 181 00:09:20,640 --> 00:09:23,199 Speaker 7: So they're very serious about fighting this to the end, 182 00:09:23,600 --> 00:09:28,360 Speaker 7: no matter how much uncertainty that creates an interim. 183 00:09:28,480 --> 00:09:31,160 Speaker 2: All right, Bloomberg Shinali Bassak bringing us that reporting and 184 00:09:31,240 --> 00:09:32,280 Speaker 2: exclusive conversation. 185 00:09:32,760 --> 00:09:35,000 Speaker 3: Thank you. We will track that story now. 186 00:09:35,000 --> 00:09:38,720 Speaker 2: Coming up on Bloomberg Technology Chat GPT's open AI is 187 00:09:38,760 --> 00:09:43,320 Speaker 2: being accused of stealing vast amounts of personal information for 188 00:09:43,440 --> 00:09:46,080 Speaker 2: its artificial intelligence models. Will bring you the latest on 189 00:09:46,120 --> 00:09:49,200 Speaker 2: that next. I'm seeing some breaking news across the Bloomberg terminal. 190 00:09:49,559 --> 00:09:55,200 Speaker 2: Pokemon Go maker Neantic is closing the studio and canceling 191 00:09:55,520 --> 00:09:58,480 Speaker 2: the game Neantic CEO announcing that. 192 00:09:58,400 --> 00:10:00,360 Speaker 3: Move in a blog post. We will track that stories. 193 00:10:00,400 --> 00:10:04,199 Speaker 2: So many of you are tracking Pokemon Go some other 194 00:10:04,240 --> 00:10:07,560 Speaker 2: breaking news. We are getting Savers Value Village opening price 195 00:10:07,640 --> 00:10:11,800 Speaker 2: twenty four dollars seventy seven cents. It's IPO was eighteen 196 00:10:11,880 --> 00:10:14,880 Speaker 2: dollars a share, So Savers Value Village opening a twenty 197 00:10:14,880 --> 00:10:18,000 Speaker 2: four dollars seventy cents a share. This discount store that's 198 00:10:18,200 --> 00:10:21,720 Speaker 2: listing and pricing in this morning session. We will continue 199 00:10:21,720 --> 00:10:23,560 Speaker 2: to track how that performs. We've had some energy a 200 00:10:23,600 --> 00:10:26,200 Speaker 2: little bit in the IPO market in recent weeks. Wow 201 00:10:26,400 --> 00:10:39,160 Speaker 2: fast hearts of the show. This is Bloomberg Technology. Let's 202 00:10:39,160 --> 00:10:42,120 Speaker 2: go back to that breaking market's news. Savers Value Village 203 00:10:42,480 --> 00:10:45,560 Speaker 2: opened at twenty four dollars seventy seven cents a share, 204 00:10:45,600 --> 00:10:48,920 Speaker 2: having priced its IPO at eighteen dollars. That currently gives 205 00:10:48,960 --> 00:10:52,160 Speaker 2: it a market cap of about three point nine billion dollars. 206 00:10:52,200 --> 00:10:54,760 Speaker 2: We're trading in this moment at twenty four dollars forty 207 00:10:54,800 --> 00:10:58,000 Speaker 2: cents a share, bouncing around, but it's interesting some energy 208 00:10:58,000 --> 00:11:00,240 Speaker 2: in the IPO market. This is the fifth biggest side 209 00:11:00,720 --> 00:11:03,040 Speaker 2: of the year based on money raise. We talked about 210 00:11:03,080 --> 00:11:06,959 Speaker 2: Carver the fast casual restaurant chain with a Mediterranean slant 211 00:11:07,360 --> 00:11:09,640 Speaker 2: just a week ago, wasn't it. So we're seeing some 212 00:11:09,640 --> 00:11:12,400 Speaker 2: some back, not so much the technology sector, but get 213 00:11:12,400 --> 00:11:15,200 Speaker 2: on your Bloomberg terminal, and that is what Savers Value 214 00:11:15,280 --> 00:11:17,480 Speaker 2: Village looks like right now. Open in twenty four dollars 215 00:11:17,520 --> 00:11:20,800 Speaker 2: seventy seven cents, trading twenty four to forty one after 216 00:11:20,880 --> 00:11:22,320 Speaker 2: pricing at eighteen. 217 00:11:22,440 --> 00:11:24,920 Speaker 3: All right, let's move on. It's time for talking tech. 218 00:11:24,720 --> 00:11:28,640 Speaker 2: And first up chat GPT creator open ais being accused 219 00:11:28,840 --> 00:11:32,640 Speaker 2: of stealing vast amounts of personal information to train its 220 00:11:32,720 --> 00:11:36,280 Speaker 2: artificial intelligence models a one hundred and fifty seven page lawsuit. 221 00:11:36,640 --> 00:11:41,000 Speaker 2: Plaintiffs are alleging open ai violated privacy laws by secretly 222 00:11:41,120 --> 00:11:47,240 Speaker 2: scraping three hundred billion words from the Internet, tapping books, articles, websites, 223 00:11:47,559 --> 00:11:52,200 Speaker 2: and posts, including personal information that was obtained without consent. 224 00:11:52,240 --> 00:11:55,120 Speaker 2: We will continue to track that and seek OpenAI's comment. 225 00:11:55,679 --> 00:11:59,839 Speaker 2: And Microsoft CEO guaranteed that Activision, Blizzard's top selling Call 226 00:11:59,880 --> 00:12:04,280 Speaker 2: of Duty title will stay on rival Sony's PlayStation. This 227 00:12:04,360 --> 00:12:07,880 Speaker 2: comes after Microsoft called its own CEO and Activision CEO 228 00:12:08,240 --> 00:12:11,520 Speaker 2: to testify in San Francisco Federal court that the company 229 00:12:11,679 --> 00:12:15,080 Speaker 2: sixty nine billion dollar tie up won't hurt competition in 230 00:12:15,120 --> 00:12:19,360 Speaker 2: the markets for console and subscription based games, plus sticking 231 00:12:19,360 --> 00:12:23,600 Speaker 2: with gaming. Sega dismissed speculation it may be the target. 232 00:12:23,280 --> 00:12:24,959 Speaker 3: Of acquirers like Microsoft. 233 00:12:25,160 --> 00:12:28,320 Speaker 2: The studio behind Sonic the Hedgehog stressed it intends to 234 00:12:28,360 --> 00:12:33,199 Speaker 2: remain part of a bigger Japanese entertainment conglomerate. Co COO 235 00:12:33,360 --> 00:12:37,040 Speaker 2: Suji Utsumi told Bloomberg News. While the game publisher maintains 236 00:12:37,040 --> 00:12:40,800 Speaker 2: a close relationship with Microsoft, it is not open to 237 00:12:40,840 --> 00:12:41,800 Speaker 2: acquisition talks. 238 00:12:42,640 --> 00:12:44,760 Speaker 8: While we if you honor, I mean they are the 239 00:12:45,400 --> 00:12:49,040 Speaker 8: value us a lot. So you know, we we still 240 00:12:49,080 --> 00:12:52,800 Speaker 8: work force louse of Microsoft. They always show you know, 241 00:12:53,160 --> 00:12:57,160 Speaker 8: you know, our respect. So we've being you know, really 242 00:12:58,360 --> 00:13:03,000 Speaker 8: having you know, I meanship with them, and we really 243 00:13:03,120 --> 00:13:06,559 Speaker 8: appreciate that they, you know, somehow value us. 244 00:13:07,800 --> 00:13:11,319 Speaker 1: Does Sega have any intention to be acquired? 245 00:13:11,880 --> 00:13:15,720 Speaker 8: No, very simple not. 246 00:13:15,840 --> 00:13:15,880 Speaker 6: No. 247 00:13:18,080 --> 00:13:20,200 Speaker 3: Let's get to another top technology story. 248 00:13:20,280 --> 00:13:24,240 Speaker 2: Lena Khan's Federal Trade Commission has already filed three cases 249 00:13:24,480 --> 00:13:25,439 Speaker 2: against Amazon. 250 00:13:26,000 --> 00:13:28,600 Speaker 3: Now she's gearing up for the big one in the 251 00:13:28,600 --> 00:13:29,160 Speaker 3: coming weeks. 252 00:13:29,200 --> 00:13:32,800 Speaker 2: The FTC plans to file an antitrust lawsuit focused on 253 00:13:32,880 --> 00:13:36,840 Speaker 2: Amazon's core online marketplace. Joining us to talk more about 254 00:13:36,840 --> 00:13:39,440 Speaker 2: this reporting is Bloomberg News is Leah and Eiland. 255 00:13:39,760 --> 00:13:42,199 Speaker 3: Leah, We've learned a lot what a source is telling us. 256 00:13:43,640 --> 00:13:47,319 Speaker 9: Yeah, so we're expecting the big one sometime later this summer, 257 00:13:47,679 --> 00:13:50,240 Speaker 9: possibly as soon as next month. This is a long 258 00:13:50,320 --> 00:13:54,240 Speaker 9: running FTC investigation that actually started four years ago this month. 259 00:13:55,000 --> 00:13:57,200 Speaker 9: Our story this morning actually got a look at the 260 00:13:57,240 --> 00:13:59,640 Speaker 9: first information request the FTC sent to them, and it 261 00:13:59,679 --> 00:14:02,440 Speaker 9: was very broad. I asked a lot of questions about 262 00:14:02,440 --> 00:14:05,760 Speaker 9: their online marketplace, how they deal with third party sellers, 263 00:14:06,160 --> 00:14:10,160 Speaker 9: and the relationship they have with Apple over selling Apple 264 00:14:10,200 --> 00:14:11,439 Speaker 9: products on the marketplace. 265 00:14:12,320 --> 00:14:13,800 Speaker 3: Over the past two. 266 00:14:13,640 --> 00:14:17,520 Speaker 9: Years, since Lena Khan took over the FTC, they've really 267 00:14:18,320 --> 00:14:21,800 Speaker 9: focused a lot on Amazon. As you mentioned, they've now 268 00:14:21,880 --> 00:14:24,160 Speaker 9: sued the company three times in the past month over 269 00:14:24,280 --> 00:14:28,000 Speaker 9: consumer protection violations. But this one is sort of expected 270 00:14:28,040 --> 00:14:30,400 Speaker 9: to be the really big one that takes aim at 271 00:14:30,600 --> 00:14:31,920 Speaker 9: Amazon's big moneymaker. 272 00:14:32,640 --> 00:14:35,080 Speaker 2: We're looking at shares of Amazon down nine ten percent 273 00:14:35,080 --> 00:14:37,600 Speaker 2: in the session, but clearly a concern. 274 00:14:37,680 --> 00:14:39,000 Speaker 3: When I read the story. 275 00:14:38,680 --> 00:14:41,840 Speaker 2: On Bloomberg dot com, I thought a lot about Lena Khan, 276 00:14:42,840 --> 00:14:45,440 Speaker 2: the individual, what this means for her in her role 277 00:14:45,480 --> 00:14:48,160 Speaker 2: at the FTC. What have you learned about how active 278 00:14:48,200 --> 00:14:50,080 Speaker 2: and how involved she is in this process. 279 00:14:51,360 --> 00:14:54,440 Speaker 9: She's been very, very involved since taking over two years ago. 280 00:14:55,200 --> 00:14:58,240 Speaker 9: When she took over in June of twenty twenty one, 281 00:14:58,320 --> 00:15:02,160 Speaker 9: so two years ago. This month, she sort of reorganized 282 00:15:02,200 --> 00:15:05,440 Speaker 9: the entire way that the FTC has been looking at Amazon, 283 00:15:06,280 --> 00:15:10,560 Speaker 9: including giving the investigators some specific lines of questioning to 284 00:15:10,680 --> 00:15:13,400 Speaker 9: sort of look into. She put a new person in 285 00:15:13,520 --> 00:15:16,120 Speaker 9: charge of the case, a fellow academic by the name 286 00:15:16,160 --> 00:15:19,280 Speaker 9: of John Newman, and they really bulked up the number 287 00:15:19,320 --> 00:15:21,720 Speaker 9: of people who are involved in this case. The Trump 288 00:15:21,760 --> 00:15:24,080 Speaker 9: administration had opened it, but they had really focused a 289 00:15:24,120 --> 00:15:26,520 Speaker 9: lot of their resources in the case that the FTC 290 00:15:26,640 --> 00:15:31,840 Speaker 9: brought against Meta, and con has really moved to focus 291 00:15:31,880 --> 00:15:35,560 Speaker 9: the agency more on Amazon because she sort of believes 292 00:15:35,560 --> 00:15:39,520 Speaker 9: that the Trump administration really didn't give it the attention 293 00:15:39,640 --> 00:15:40,360 Speaker 9: that it deserved. 294 00:15:41,000 --> 00:15:43,720 Speaker 2: All Right, bloombos Lea and Iland with that exclusive reporting 295 00:15:43,760 --> 00:15:46,320 Speaker 2: alongside our own an edge and check it out on 296 00:15:46,360 --> 00:15:57,360 Speaker 2: Bloomberg dot com. All Right, the world's dealmakers are down 297 00:15:57,480 --> 00:16:00,120 Speaker 2: roughly a trillion dollars in one of the worst years 298 00:16:00,120 --> 00:16:03,240 Speaker 2: for takeovers and stock market listings in a decade. 299 00:16:03,320 --> 00:16:04,760 Speaker 3: That's the year on year. 300 00:16:04,640 --> 00:16:07,440 Speaker 2: Drop in the value of M and A and IPOs 301 00:16:07,440 --> 00:16:10,080 Speaker 2: in the first half, a period in which inflationary pressures, 302 00:16:10,200 --> 00:16:14,240 Speaker 2: financing constraints, geo political tensions. The list goes on mixed 303 00:16:14,360 --> 00:16:18,120 Speaker 2: activity across regions and sectors that according to Bloomberg data 304 00:16:18,120 --> 00:16:21,400 Speaker 2: excluding COVID impacted twenty twenty, it's the smallest first half 305 00:16:21,440 --> 00:16:25,160 Speaker 2: total in a decade and blow the average for the period. 306 00:16:25,600 --> 00:16:28,320 Speaker 2: All right, let's stay global and bring in Sekinder sne 307 00:16:28,400 --> 00:16:31,920 Speaker 2: Cassidy CEO of Zero, the cloud based small business platform 308 00:16:32,080 --> 00:16:35,520 Speaker 2: is based in New Zealand and bringing into accounting, payroll 309 00:16:35,560 --> 00:16:39,680 Speaker 2: and workforce management solutions to customers globally, which's also via 310 00:16:39,720 --> 00:16:42,000 Speaker 2: some of the largest tech companies in the worldlike Google 311 00:16:42,320 --> 00:16:46,080 Speaker 2: and Amazon. Good morning, warning it welcome to bin the technology. 312 00:16:46,120 --> 00:16:47,880 Speaker 2: When you heard that about the first half of this year, 313 00:16:48,000 --> 00:16:51,000 Speaker 2: I go straight to thinking about what you've seen. Broadly, 314 00:16:51,040 --> 00:16:53,360 Speaker 2: think about all of your customers and the platforms you offer. 315 00:16:53,520 --> 00:16:55,360 Speaker 2: You must get a pretty good lens into the health 316 00:16:55,360 --> 00:16:56,240 Speaker 2: of the tech sector. 317 00:16:56,640 --> 00:16:59,040 Speaker 10: We certainly do. Actually, I think we get a look 318 00:16:59,040 --> 00:17:01,480 Speaker 10: into the health of this small business economy globally. Because 319 00:17:01,480 --> 00:17:04,119 Speaker 10: of course Zero has over three point seven million subscribers 320 00:17:04,160 --> 00:17:07,679 Speaker 10: that are predominantly small businesses call it five to fifty employees. 321 00:17:07,920 --> 00:17:10,320 Speaker 10: And I think what we see is a pretty mixed picture. 322 00:17:10,760 --> 00:17:12,600 Speaker 10: On the one hand, and I'm sure this is no 323 00:17:12,680 --> 00:17:15,000 Speaker 10: surprise to you. On the one hand, you have rising inflation, 324 00:17:15,560 --> 00:17:18,640 Speaker 10: you know, supply chain getting more expensive with that high 325 00:17:18,640 --> 00:17:22,119 Speaker 10: interest rates, but on the other hand, still low unemployment rates, 326 00:17:22,400 --> 00:17:25,080 Speaker 10: new business formation is still happening, and of course you 327 00:17:25,160 --> 00:17:26,879 Speaker 10: have talent shortages. 328 00:17:27,000 --> 00:17:28,520 Speaker 3: So what we hear from. 329 00:17:28,359 --> 00:17:30,800 Speaker 10: Our small businesses is this is a time of uncertainty 330 00:17:30,800 --> 00:17:33,440 Speaker 10: and mixed signals, but it's also time where they really 331 00:17:33,480 --> 00:17:35,399 Speaker 10: need to manage their cash pretty carefully. 332 00:17:35,440 --> 00:17:40,359 Speaker 2: I'm really interested in the company global customer base, global footprint, 333 00:17:41,200 --> 00:17:43,240 Speaker 2: Australasian origins. 334 00:17:43,400 --> 00:17:45,720 Speaker 3: Yes, you're here with me in San Francisco. What's that like? 335 00:17:46,040 --> 00:17:48,280 Speaker 10: Well, I think this is about the company turning its 336 00:17:48,280 --> 00:17:51,159 Speaker 10: attention globally. I mean, if you look at zero, you know, 337 00:17:51,240 --> 00:17:54,840 Speaker 10: the original disruptor really in cloud based accounting started out 338 00:17:54,840 --> 00:17:58,679 Speaker 10: of New Zealand from Rodgery, an X accountant himself, but 339 00:17:58,720 --> 00:18:01,200 Speaker 10: really has grown the UK our second biggest market, North 340 00:18:01,240 --> 00:18:05,040 Speaker 10: America obviously a big home for small businesses worldwide, and 341 00:18:05,119 --> 00:18:07,520 Speaker 10: I'll sell important for zero. 342 00:18:08,080 --> 00:18:09,920 Speaker 3: We have to talk about the landscape. 343 00:18:10,080 --> 00:18:12,119 Speaker 2: I think about quick Books as an example here in 344 00:18:12,119 --> 00:18:14,120 Speaker 2: the US doing some battle with them. 345 00:18:15,200 --> 00:18:15,400 Speaker 6: Yeah. 346 00:18:15,560 --> 00:18:18,200 Speaker 10: Yes, Look I think around the world, Zero and QuickBooks 347 00:18:18,359 --> 00:18:19,120 Speaker 10: run into each other. 348 00:18:19,160 --> 00:18:21,560 Speaker 2: I'm not suggesting this is an Elon musk Mark zucker 349 00:18:21,560 --> 00:18:22,159 Speaker 2: Bog situation. 350 00:18:22,240 --> 00:18:24,760 Speaker 10: I'm just saying, and quite frankly, that is a total 351 00:18:24,760 --> 00:18:27,400 Speaker 10: distraction for us. We care about getting our business done 352 00:18:27,440 --> 00:18:29,359 Speaker 10: for our customers. Yes, of course we see them in 353 00:18:29,400 --> 00:18:32,000 Speaker 10: every market, but I think the most important thing to 354 00:18:32,119 --> 00:18:34,680 Speaker 10: land is that for all of us in this area, 355 00:18:34,800 --> 00:18:38,360 Speaker 10: the real big winner is just moving people from offline 356 00:18:38,640 --> 00:18:41,800 Speaker 10: to online. Cloud adoption of small business accounting is actually 357 00:18:42,000 --> 00:18:44,840 Speaker 10: for the behind things like website building, but it offers 358 00:18:44,880 --> 00:18:47,480 Speaker 10: so much efficiency for small businesses. So we're all just 359 00:18:47,520 --> 00:18:49,240 Speaker 10: trying to bring those small businesses online. 360 00:18:49,280 --> 00:18:50,959 Speaker 2: I think what we learned from the collapse of Silicon 361 00:18:51,040 --> 00:18:53,920 Speaker 2: Valley Bank, which was in the context of payroll and banking, 362 00:18:54,359 --> 00:18:58,040 Speaker 2: but under duress small technology business as well. They have 363 00:18:58,119 --> 00:19:01,359 Speaker 2: to pivot and they change. It is the tough macro 364 00:19:01,440 --> 00:19:04,880 Speaker 2: environment kind of acting as a catalyst among your customers 365 00:19:04,920 --> 00:19:06,439 Speaker 2: to kind of change how they do business. 366 00:19:06,720 --> 00:19:09,320 Speaker 10: Use technology of course, and it's a tale of two cities. 367 00:19:09,320 --> 00:19:11,640 Speaker 10: First of all, if you are not a venture backstartup, 368 00:19:11,640 --> 00:19:13,960 Speaker 10: and the majority of our customers, you're small businesses of 369 00:19:14,040 --> 00:19:17,840 Speaker 10: every dimension who have never had the benefit quite frankly, 370 00:19:17,960 --> 00:19:20,640 Speaker 10: venture funding. They're paranoid about cash and cash management all 371 00:19:20,640 --> 00:19:21,040 Speaker 10: the time. 372 00:19:21,240 --> 00:19:21,919 Speaker 3: I think we can. 373 00:19:21,760 --> 00:19:24,720 Speaker 10: Agree that Silicon Valley Bank and i'd say companies that 374 00:19:24,760 --> 00:19:27,919 Speaker 10: have been funded in tech are particularly nervous about their 375 00:19:27,960 --> 00:19:28,560 Speaker 10: cash management. 376 00:19:28,640 --> 00:19:32,199 Speaker 2: Right now, you've done some headcount trims. The sector is 377 00:19:32,200 --> 00:19:35,440 Speaker 2: looking at headcount reduction. How have you managed that? And 378 00:19:35,760 --> 00:19:37,520 Speaker 2: let me ask you very quickly, is that in response 379 00:19:37,560 --> 00:19:39,720 Speaker 2: to AI and the ability to use AI or is 380 00:19:39,760 --> 00:19:40,840 Speaker 2: it just a macro issue. 381 00:19:40,880 --> 00:19:43,040 Speaker 10: Actually, for us it was very simple. The company is 382 00:19:43,480 --> 00:19:46,000 Speaker 10: tremendously high growth, but we just want to get more 383 00:19:46,040 --> 00:19:49,320 Speaker 10: disciplined and create more operating leverage for our own business, 384 00:19:49,320 --> 00:19:52,080 Speaker 10: and so we're focused on profitable growth, but customer first. 385 00:19:52,480 --> 00:19:55,520 Speaker 2: So kinder syne Cassidy CEO zero giving us the global 386 00:19:55,600 --> 00:19:58,000 Speaker 2: take what it's like to be a global player in technology. 387 00:19:58,080 --> 00:20:02,840 Speaker 2: Now coming up, artificial intelligence company Seeker and acclaimed outdoorsman 388 00:20:02,960 --> 00:20:07,440 Speaker 2: Bear Grills a teaming up to combat misinformation in digital spaces. 389 00:20:07,480 --> 00:20:09,720 Speaker 2: He joins me next to talk about that new collaboration. 390 00:20:10,320 --> 00:20:14,040 Speaker 2: He's looking at AI and the new survival skill, and 391 00:20:14,119 --> 00:20:16,639 Speaker 2: as we had to break, we're watching shares of Netflix 392 00:20:16,880 --> 00:20:19,640 Speaker 2: after City raised its price target on the stock, saying 393 00:20:19,680 --> 00:20:22,960 Speaker 2: the streaming service has performed well since announcing that ad 394 00:20:23,000 --> 00:20:27,840 Speaker 2: supported subscription plan and the introduction of course paid sharing 395 00:20:27,920 --> 00:20:31,520 Speaker 2: the password crackdown. City now expects eighty two million new 396 00:20:31,600 --> 00:20:36,040 Speaker 2: subscribers and ten point six billion dollars of incremental revenue. 397 00:20:35,680 --> 00:20:37,920 Speaker 3: Based on the more bullish ad tier estimates. 398 00:20:37,920 --> 00:20:40,520 Speaker 2: The company increased the price target and opened a quote 399 00:20:40,600 --> 00:20:44,080 Speaker 2: positive catalyst watch ahead of second quarter results. 400 00:20:44,160 --> 00:20:44,720 Speaker 3: Netflix. 401 00:20:45,040 --> 00:20:48,000 Speaker 2: Yeah, look we're up four ten tove percent in the session. 402 00:20:48,600 --> 00:20:51,040 Speaker 2: Some values around the corner, and I think there's a 403 00:20:51,040 --> 00:20:55,720 Speaker 2: lot of conversation to be had around the competitive pressures 404 00:20:55,800 --> 00:21:06,800 Speaker 2: on some of these streamers. Welcome back to bloombow Technology, 405 00:21:06,880 --> 00:21:09,760 Speaker 2: ed love low here in San Francisco, thinking about the markets, 406 00:21:09,760 --> 00:21:12,040 Speaker 2: and look we're treading water. Think about the Nazet one 407 00:21:12,119 --> 00:21:15,240 Speaker 2: hundred very tech heavy index basically flat, up three tenths 408 00:21:15,320 --> 00:21:16,720 Speaker 2: up zero point zero three. 409 00:21:16,520 --> 00:21:18,240 Speaker 3: Percent in the session. 410 00:21:18,280 --> 00:21:21,640 Speaker 2: The story is really about the Fed and traders bedding 411 00:21:21,720 --> 00:21:24,320 Speaker 2: that we will get two rate hikes by year end 412 00:21:24,359 --> 00:21:27,240 Speaker 2: that sent yield higher. Sometimes when you push higher, you 413 00:21:27,280 --> 00:21:30,080 Speaker 2: look at those stretch valuation tech names on the nazet 414 00:21:30,160 --> 00:21:32,360 Speaker 2: one hundred. We see them come down, but we are 415 00:21:32,760 --> 00:21:35,359 Speaker 2: essentially flat. Some names in the green, some dames lower. 416 00:21:35,920 --> 00:21:39,119 Speaker 2: I'm checking Apple up two tents one percent. One hundred 417 00:21:39,160 --> 00:21:42,119 Speaker 2: and ninety dollars. Seventy cents a share would give Apple 418 00:21:42,280 --> 00:21:44,600 Speaker 2: market Kappa three trillion. We are on watch for that, 419 00:21:44,720 --> 00:21:46,760 Speaker 2: but some way off it. We need a few tenths 420 00:21:46,800 --> 00:21:48,679 Speaker 2: of a percent more of a gain to see that. 421 00:21:49,040 --> 00:21:51,840 Speaker 2: JD dot Com a US listed shares of the Chinese 422 00:21:51,840 --> 00:21:54,880 Speaker 2: company moving to the downside down two percent. Its founder 423 00:21:55,200 --> 00:21:58,320 Speaker 2: has registered to sell stock that may be having an impact. 424 00:21:58,560 --> 00:22:01,639 Speaker 2: And Microsoft also in seeing the big news story this 425 00:22:02,520 --> 00:22:06,040 Speaker 2: Thursday is that Microsoft and open ai are going to 426 00:22:06,119 --> 00:22:10,560 Speaker 2: help Moodies investor Services build a generative AI tool for 427 00:22:10,640 --> 00:22:12,720 Speaker 2: use in movie's customers. Not doing much taboost to stock 428 00:22:13,000 --> 00:22:14,840 Speaker 2: up two ten to one percent, just flagging it as 429 00:22:14,840 --> 00:22:17,760 Speaker 2: an example that some of the AI headline hype is 430 00:22:17,800 --> 00:22:21,280 Speaker 2: not necessarily moving the needle when it comes to these 431 00:22:21,320 --> 00:22:23,840 Speaker 2: equity markets. Now, I want to take a moment to 432 00:22:23,920 --> 00:22:27,080 Speaker 2: quickly highlight some of the content coming from Bloomberg Originals. 433 00:22:27,320 --> 00:22:31,040 Speaker 2: On tonight's episode of the Circuit, Emily Chang meets with 434 00:22:31,160 --> 00:22:34,800 Speaker 2: Hailey Beaber, who talks about founding her skincare company road 435 00:22:35,200 --> 00:22:40,240 Speaker 2: the bubble of celebrity beauty brands and social media backlash. 436 00:22:40,320 --> 00:22:42,160 Speaker 11: I do feel like there was a fatigue. I felt 437 00:22:42,160 --> 00:22:44,080 Speaker 11: like when I announced the brand. Of course, there was 438 00:22:44,119 --> 00:22:46,600 Speaker 11: people that were like, Oh, here we go, here's another one, 439 00:22:46,680 --> 00:22:49,600 Speaker 11: and I'm like, I get that, I understand. I'm also 440 00:22:49,720 --> 00:22:52,439 Speaker 11: coming from the point of view where I'm like, trust me, 441 00:22:52,800 --> 00:22:56,560 Speaker 11: I know, but this is my approach and it is 442 00:22:56,680 --> 00:22:57,840 Speaker 11: different to other people. 443 00:22:59,119 --> 00:23:01,080 Speaker 3: To watch more of that in you with Hailey Bieber. 444 00:23:01,119 --> 00:23:04,240 Speaker 2: Watched The Circuit with Emily Chang tonight ten pm in 445 00:23:04,320 --> 00:23:07,199 Speaker 2: New York on Bloomberg Television, or stream it from APM 446 00:23:07,240 --> 00:23:11,480 Speaker 2: Eastern on Bloomberg Originals. Let's get back to Bloomberg, Technology 447 00:23:11,520 --> 00:23:15,120 Speaker 2: and AI. One of the fears behind fully embracing artificial 448 00:23:15,160 --> 00:23:19,600 Speaker 2: intelligence is the spread of dis and miss information. It's 449 00:23:19,640 --> 00:23:23,480 Speaker 2: part of why digital AI company Seeker and acclaimed survivalists 450 00:23:23,640 --> 00:23:27,000 Speaker 2: Bear Grills have committed themselves to giving young people the 451 00:23:27,080 --> 00:23:31,960 Speaker 2: tools necessary to make informed decisions about online content. I'm 452 00:23:31,960 --> 00:23:34,359 Speaker 2: delighted to say that joining us now is Bear Grill's 453 00:23:34,400 --> 00:23:37,480 Speaker 2: TV hosts and of course author of You Versus the World, 454 00:23:37,800 --> 00:23:41,280 Speaker 2: the Bear Grills Guide to Never Giving Up. Let's get 455 00:23:41,359 --> 00:23:44,920 Speaker 2: right to it, Bere. I know you as somebody who 456 00:23:45,240 --> 00:23:51,280 Speaker 2: advocates the importance of survival skills. Why is computer literacy 457 00:23:51,440 --> 00:23:55,560 Speaker 2: or even engagement with AI the next survival skill to 458 00:23:55,640 --> 00:23:56,080 Speaker 2: your mind? 459 00:23:57,720 --> 00:24:00,520 Speaker 12: Because I think young people need to be in powered 460 00:24:00,560 --> 00:24:03,080 Speaker 12: with modern day survival skills that are going to be 461 00:24:03,119 --> 00:24:06,320 Speaker 12: relevant for their life and empowering for their life. And 462 00:24:06,359 --> 00:24:08,600 Speaker 12: in terms of survival, you're not going to get more 463 00:24:08,640 --> 00:24:12,960 Speaker 12: of a wild worth frontier than helping kids decipher and 464 00:24:13,040 --> 00:24:16,680 Speaker 12: discern and be wise and be smart about information about 465 00:24:16,720 --> 00:24:20,199 Speaker 12: where they're sourcing information from. And you know, I think 466 00:24:20,600 --> 00:24:22,679 Speaker 12: we've never had a time in history where it is 467 00:24:22,760 --> 00:24:28,480 Speaker 12: so challenging for young people to be smart, to be empowered, 468 00:24:28,520 --> 00:24:33,159 Speaker 12: to be digital survivors, to be digitally literate, and to 469 00:24:33,240 --> 00:24:36,040 Speaker 12: have an understanding of what is real and what is 470 00:24:36,440 --> 00:24:40,159 Speaker 12: you know, propaganda or misinformation. So Seeker speaks to that. 471 00:24:41,080 --> 00:24:43,040 Speaker 12: I'm really proud to partner with them because we've build 472 00:24:43,080 --> 00:24:46,240 Speaker 12: this whole thing called Mission Seeker. It's all about helping 473 00:24:46,280 --> 00:24:51,320 Speaker 12: young people go on their own little adventures, whether it's 474 00:24:51,320 --> 00:24:54,600 Speaker 12: a humanitarian thing or whether it's an environmental thing, and 475 00:24:54,720 --> 00:24:58,359 Speaker 12: build this community. But through this process, we're trying to 476 00:24:58,359 --> 00:25:01,560 Speaker 12: help them learn skills they're going to be really powerful 477 00:25:01,600 --> 00:25:04,560 Speaker 12: and relevant for their life. And Seekers clever, you know, 478 00:25:04,600 --> 00:25:08,639 Speaker 12: they kind of they score the reliability of all the 479 00:25:08,680 --> 00:25:11,720 Speaker 12: sourcing of information and try and use AI in a 480 00:25:11,760 --> 00:25:15,080 Speaker 12: positive way to help young people bear. 481 00:25:15,040 --> 00:25:17,560 Speaker 2: What are the basics from a technology standpoint If I'm 482 00:25:17,560 --> 00:25:20,680 Speaker 2: a young explorer, how do I engage with Mission Seeker? 483 00:25:20,760 --> 00:25:23,200 Speaker 2: What is it that I'm doing literally at the computer 484 00:25:23,320 --> 00:25:24,240 Speaker 2: or on my smartphone. 485 00:25:25,840 --> 00:25:28,960 Speaker 12: Well, first of all, Seeker is a search engine, you know, 486 00:25:29,000 --> 00:25:31,399 Speaker 12: that's what it is, a search age and this family 487 00:25:31,440 --> 00:25:33,520 Speaker 12: friendly is for young people, and it's going to use 488 00:25:33,560 --> 00:25:35,479 Speaker 12: this AI technology. 489 00:25:35,240 --> 00:25:38,280 Speaker 3: To help score the reliability. 490 00:25:37,560 --> 00:25:41,720 Speaker 12: Of information coming in everything from clickbait to sourcing, to transparency, 491 00:25:41,720 --> 00:25:44,239 Speaker 12: all of that. And then within that we've built this 492 00:25:44,400 --> 00:25:48,280 Speaker 12: Mission seeker dot Com, which is basically it's like an 493 00:25:48,400 --> 00:25:52,159 Speaker 12: education adventure platform for young people to share their adventures. 494 00:25:52,800 --> 00:25:55,440 Speaker 12: So it's sort of it's a motivating thing to get 495 00:25:55,600 --> 00:25:57,960 Speaker 12: young people to be able to then use the Seeker 496 00:25:58,000 --> 00:26:00,920 Speaker 12: technology in their life. But we've got some great young 497 00:26:00,960 --> 00:26:04,200 Speaker 12: ambassadors leading the way for us who are already out there 498 00:26:04,240 --> 00:26:09,120 Speaker 12: shooting really fun humanitarian and environmental missions. And every month 499 00:26:09,160 --> 00:26:11,280 Speaker 12: we're going to set a new one. And people all 500 00:26:11,280 --> 00:26:14,520 Speaker 12: around the world have started to get involved with this 501 00:26:14,640 --> 00:26:17,239 Speaker 12: to shoot them and film their own little adventures and 502 00:26:17,280 --> 00:26:19,639 Speaker 12: build this community. And like I say, you know, it's 503 00:26:19,680 --> 00:26:22,680 Speaker 12: trying to do something good in this AI space where 504 00:26:23,000 --> 00:26:25,480 Speaker 12: you obviously hear a lot of negativity and you know 505 00:26:25,760 --> 00:26:28,840 Speaker 12: AI is going to be so dangerous, and of course 506 00:26:28,960 --> 00:26:33,280 Speaker 12: new technology everyone's always nervous and new technology nobody likes change, 507 00:26:33,320 --> 00:26:35,800 Speaker 12: do they apart from a baby with a wet diaper? 508 00:26:37,359 --> 00:26:40,400 Speaker 3: An interesting analogy. What is the catalyst? 509 00:26:40,480 --> 00:26:43,560 Speaker 2: I mean here on Bloomberg Technology, we've been talking about 510 00:26:43,640 --> 00:26:46,080 Speaker 2: artificial intelligence day out, day and day out for a 511 00:26:46,080 --> 00:26:50,440 Speaker 2: long time, but we recognize that November and chat GPT 512 00:26:50,640 --> 00:26:53,919 Speaker 2: becoming available to the public had a global effect. What 513 00:26:54,040 --> 00:26:56,600 Speaker 2: was it for you that got you thinking that you 514 00:26:56,720 --> 00:26:58,160 Speaker 2: need to be involved here. 515 00:27:00,080 --> 00:27:02,359 Speaker 12: And the sort of the things that actually put some 516 00:27:03,320 --> 00:27:07,920 Speaker 12: you know, parameters and boundaries and positive you know things surrounded. 517 00:27:07,960 --> 00:27:09,960 Speaker 12: Technology is always the second phase to come. 518 00:27:10,040 --> 00:27:11,920 Speaker 3: You know. The first thing is the technology, isn't it? 519 00:27:11,920 --> 00:27:12,560 Speaker 3: And it goes at a. 520 00:27:12,560 --> 00:27:15,440 Speaker 12: Million miles an hour, and something like chat GBT comes 521 00:27:15,480 --> 00:27:17,760 Speaker 12: along and everyone's in it, and there's there's a good 522 00:27:17,800 --> 00:27:19,639 Speaker 12: part of that, but there's always going to be a 523 00:27:19,640 --> 00:27:22,240 Speaker 12: bad part as well. And you know, it really is 524 00:27:22,720 --> 00:27:24,960 Speaker 12: you know when I say it's a tsunami of information 525 00:27:25,040 --> 00:27:27,960 Speaker 12: not only coming at young people but also then being 526 00:27:28,040 --> 00:27:31,280 Speaker 12: generated and put out, and we're sort of trying to 527 00:27:31,320 --> 00:27:34,359 Speaker 12: then put some tools. 528 00:27:34,520 --> 00:27:35,360 Speaker 3: Is tools the right word? 529 00:27:35,400 --> 00:27:37,600 Speaker 12: I suppose it is tools around it to then help 530 00:27:38,280 --> 00:27:40,720 Speaker 12: kids are smart themselves, they know it, you know, they're 531 00:27:40,760 --> 00:27:43,159 Speaker 12: they're they're much smarter than we often give them credit for. 532 00:27:43,240 --> 00:27:45,439 Speaker 12: But you've got to resource them with the tools to 533 00:27:45,480 --> 00:27:48,200 Speaker 12: be able to be smart. And I think ultimately that's 534 00:27:48,240 --> 00:27:51,280 Speaker 12: what Seeker is about, and their mission, Seeker is about 535 00:27:51,280 --> 00:27:54,760 Speaker 12: trying to make a fun adventure platform to bring kids 536 00:27:54,800 --> 00:27:55,520 Speaker 12: into that space. 537 00:27:56,600 --> 00:28:00,280 Speaker 2: Bear Grylls, we are familiar with you and your programs 538 00:28:00,320 --> 00:28:03,399 Speaker 2: and your books going out into the wilderness and using 539 00:28:03,440 --> 00:28:08,000 Speaker 2: as few tools as possible. Paradoxically, I'd like to ask 540 00:28:08,040 --> 00:28:11,600 Speaker 2: you which artificial intelligence tools you do engage with yourself, 541 00:28:12,040 --> 00:28:14,679 Speaker 2: how you use the technology in your day to day life. 542 00:28:16,280 --> 00:28:17,960 Speaker 12: Well, first of all, I'm not a kind of a 543 00:28:18,080 --> 00:28:20,560 Speaker 12: digital dinosaur like that. I'm not like, oh, we've got to, 544 00:28:20,720 --> 00:28:22,080 Speaker 12: we can't. You know, you've got to. 545 00:28:22,240 --> 00:28:22,680 Speaker 3: You've got to. 546 00:28:23,040 --> 00:28:25,960 Speaker 12: You've got to embrace technology. You've got to embrace change. 547 00:28:25,960 --> 00:28:27,360 Speaker 12: You've got to use it. You know, if you think 548 00:28:27,400 --> 00:28:31,720 Speaker 12: survivors of old, they were always using the latest stuff, 549 00:28:32,000 --> 00:28:34,480 Speaker 12: whatever would help them. And I think as a modern 550 00:28:34,560 --> 00:28:36,960 Speaker 12: day explorer, we need to be the same as a 551 00:28:37,000 --> 00:28:39,360 Speaker 12: modern day survivor. We've got to be part of that. 552 00:28:39,440 --> 00:28:43,240 Speaker 12: You've got to use technology. I definitely use AI in 553 00:28:44,080 --> 00:28:46,680 Speaker 12: various ways. And I think as a parent it's our 554 00:28:46,720 --> 00:28:50,640 Speaker 12: responsibility to provide young people and to provide our kids 555 00:28:50,680 --> 00:28:53,760 Speaker 12: with with resources that are really practical and are going 556 00:28:53,800 --> 00:28:57,920 Speaker 12: to help our kids become digitally smart and literate. So 557 00:28:58,360 --> 00:29:02,240 Speaker 12: for me, I use before we partner with them, and 558 00:29:02,240 --> 00:29:04,600 Speaker 12: I thought, I really like this. This is actually a 559 00:29:04,720 --> 00:29:08,920 Speaker 12: family friendly search engine tool that is doing a lot 560 00:29:08,920 --> 00:29:11,280 Speaker 12: of the hard work for me. You know, in terms 561 00:29:11,320 --> 00:29:15,120 Speaker 12: of scoring, the reliability of information coming in. Nothing is 562 00:29:15,160 --> 00:29:17,560 Speaker 12: going to be perfect, but it's you know, and that 563 00:29:17,680 --> 00:29:20,200 Speaker 12: soon I was coming fast. But it's trying to do 564 00:29:20,280 --> 00:29:23,520 Speaker 12: something that speaks to that problem which all of us 565 00:29:23,600 --> 00:29:26,640 Speaker 12: know is an issue of young people and where they 566 00:29:26,640 --> 00:29:27,240 Speaker 12: source their. 567 00:29:27,120 --> 00:29:29,200 Speaker 3: Information bear grills. 568 00:29:29,200 --> 00:29:31,040 Speaker 2: So I was in no way suggesting that you're not 569 00:29:31,120 --> 00:29:34,280 Speaker 2: a technologist. And when you move into your next initiative 570 00:29:34,320 --> 00:29:36,760 Speaker 2: and you engage with technology, come back onto the show, 571 00:29:36,960 --> 00:29:39,640 Speaker 2: onto Bloomberg Technology and discuss it with you with us. 572 00:29:39,680 --> 00:29:42,120 Speaker 3: Thank you for your time. I love it, ed do 573 00:29:42,120 --> 00:29:43,920 Speaker 3: you take care of my friend all the best? Thank 574 00:29:43,960 --> 00:29:44,600 Speaker 3: you bye. 575 00:29:44,600 --> 00:29:47,280 Speaker 2: Now coming up, we'll sit with AI, but also bring 576 00:29:47,320 --> 00:29:50,680 Speaker 2: in crypto and we'll be joined by NFX partner Morgan Bella. 577 00:29:51,160 --> 00:29:51,520 Speaker 3: More on that. 578 00:29:51,680 --> 00:30:04,680 Speaker 2: Next, this is Bloomberg Technology. Let's bring in Morgan Bella, 579 00:30:04,920 --> 00:30:08,600 Speaker 2: general partner at NFX Capital Management, a VC firm investing 580 00:30:08,640 --> 00:30:11,120 Speaker 2: in gaming, generative, AI, fintech, crypto. 581 00:30:11,200 --> 00:30:12,000 Speaker 3: The list goes on. 582 00:30:12,360 --> 00:30:15,040 Speaker 2: So also the co founder, of course of Libra, which 583 00:30:15,080 --> 00:30:18,480 Speaker 2: was Facebook zone attempt at a cryptocurrency. It is today's 584 00:30:18,560 --> 00:30:21,200 Speaker 2: VC spotlight. Good to see you, Thank. 585 00:30:21,040 --> 00:30:22,760 Speaker 1: You for having me. Great to see you in person. 586 00:30:24,720 --> 00:30:27,400 Speaker 3: We could talk about anything. Let's talk about AI. 587 00:30:28,360 --> 00:30:32,200 Speaker 2: NFX is moving, is acting on what's happening all around 588 00:30:32,280 --> 00:30:34,840 Speaker 2: us here in San Francisco Silicon Valley. How are you 589 00:30:34,960 --> 00:30:37,760 Speaker 2: doing it from an investment standpoint of course? 590 00:30:38,200 --> 00:30:40,880 Speaker 13: So one question I have and that I've been asking 591 00:30:40,960 --> 00:30:42,719 Speaker 13: is what does it mean? People are like, are you 592 00:30:42,720 --> 00:30:45,800 Speaker 13: investing in AI? And like, yes, like what is an 593 00:30:45,840 --> 00:30:49,720 Speaker 13: AI company? In that every company kind of needs to 594 00:30:49,720 --> 00:30:50,920 Speaker 13: be an AI company? 595 00:30:51,000 --> 00:30:54,840 Speaker 2: Well, people differentiate though between AI native and AI adjacent 596 00:30:55,360 --> 00:30:56,440 Speaker 2: is one way of splitting it up. 597 00:30:56,520 --> 00:30:58,440 Speaker 3: Yes, so for you, what is the priority or what 598 00:30:58,520 --> 00:30:59,160 Speaker 3: is the focus? 599 00:30:59,240 --> 00:30:59,480 Speaker 4: There? 600 00:31:00,000 --> 00:31:03,280 Speaker 13: So two different answers. One is it feels similar to crypto? So, 601 00:31:03,320 --> 00:31:06,200 Speaker 13: as mentioned, I was spending most of my time in crypto, 602 00:31:06,240 --> 00:31:09,440 Speaker 13: and when we looked at a crypto company, we always said, 603 00:31:09,560 --> 00:31:12,800 Speaker 13: what is this company actually? Is it a marketplaces company? 604 00:31:12,880 --> 00:31:15,520 Speaker 13: Is it a fintech company? Is it a media company 605 00:31:15,520 --> 00:31:18,640 Speaker 13: for which crypto is the rails that enables it to 606 00:31:18,680 --> 00:31:21,200 Speaker 13: do something that couldn't be done before? And we're viewing 607 00:31:21,240 --> 00:31:24,240 Speaker 13: AI companies similarly, which is what is this actually? Is 608 00:31:24,240 --> 00:31:27,360 Speaker 13: it a legal tech company? Is it a fintech company? 609 00:31:27,400 --> 00:31:30,160 Speaker 13: Is it a marketplace company for which they are using 610 00:31:30,160 --> 00:31:33,960 Speaker 13: AI to do something that hasn't been done before? So 611 00:31:33,960 --> 00:31:36,320 Speaker 13: that's one lens and the second lens is this leap 612 00:31:36,360 --> 00:31:40,240 Speaker 13: frogging piece which I will shamelessly show that I wrote 613 00:31:40,240 --> 00:31:43,320 Speaker 13: about recently, which is the concept that AI will move 614 00:31:43,360 --> 00:31:47,600 Speaker 13: into industries that were were are underserved by SaaS. 615 00:31:48,040 --> 00:31:50,920 Speaker 3: Look, can you give me an example, a tangible example. 616 00:31:50,560 --> 00:31:52,200 Speaker 1: A legal industrys Okay. 617 00:31:52,840 --> 00:31:56,000 Speaker 2: Uh we we do not uh pay CEO Josh Browder 618 00:31:56,000 --> 00:31:57,480 Speaker 2: has but been on the show, and so it's about, 619 00:31:57,600 --> 00:31:59,760 Speaker 2: you know, kind of a similar use case you're all 620 00:31:59,800 --> 00:32:02,760 Speaker 2: fits is in Hayes Valley. We try to make this 621 00:32:02,800 --> 00:32:06,080 Speaker 2: show global, but what I keep hearing is that everything 622 00:32:06,120 --> 00:32:09,840 Speaker 2: that's happening in AI is happening here. And we had 623 00:32:09,880 --> 00:32:12,280 Speaker 2: Gary Tan of y Combinator on the show two days 624 00:32:12,280 --> 00:32:16,520 Speaker 2: ago and he called Hayes Valley cerebral Valley because to 625 00:32:16,600 --> 00:32:19,880 Speaker 2: his mind, all of the talent that are working on 626 00:32:20,000 --> 00:32:23,480 Speaker 2: llms and foundation models and the VC's backing them, you 627 00:32:23,560 --> 00:32:27,000 Speaker 2: can find in several isolated blocks of that neighborhood. 628 00:32:27,320 --> 00:32:29,560 Speaker 3: Do you recognize that? Do you agree with that statement? 629 00:32:29,920 --> 00:32:31,560 Speaker 1: I very much agree with that statement. 630 00:32:31,600 --> 00:32:34,480 Speaker 13: I didn't know we're going to be talking about Hayes 631 00:32:34,560 --> 00:32:36,640 Speaker 13: Valley in San Francisco, but I'm very happy too. 632 00:32:36,880 --> 00:32:39,240 Speaker 2: So why is it a thing, you know, for the 633 00:32:39,240 --> 00:32:42,560 Speaker 2: global audience. Why are we talking about this tiny neighborhood 634 00:32:42,960 --> 00:32:46,360 Speaker 2: in San Francisco which is a tiny city, geogra tiny city. 635 00:32:46,720 --> 00:32:49,480 Speaker 1: Yeah, the tiny neighborhood in a tiny city. 636 00:32:49,520 --> 00:32:52,120 Speaker 13: So I joined the firm about three years ago, and 637 00:32:52,200 --> 00:32:54,960 Speaker 13: our office was downtown, so near where we are right now, 638 00:32:55,280 --> 00:32:58,160 Speaker 13: and with all due respect, we're currently on the Embarcadera, 639 00:32:58,200 --> 00:32:59,800 Speaker 13: which is a beautiful part of downtown. We were in 640 00:32:59,840 --> 00:33:03,040 Speaker 13: a beautiful part of downtown, and I felt very strongly 641 00:33:03,040 --> 00:33:05,080 Speaker 13: that we had to move the office into a more 642 00:33:05,280 --> 00:33:08,280 Speaker 13: residential area in the heart of the city because I 643 00:33:08,280 --> 00:33:11,480 Speaker 13: felt that for the first time, people that were in 644 00:33:11,520 --> 00:33:14,040 Speaker 13: San Francisco were choosing to be here cause they wanted 645 00:33:14,040 --> 00:33:15,520 Speaker 13: to be here, versus they had to be here. 646 00:33:15,760 --> 00:33:16,920 Speaker 3: And this is first pandemic. 647 00:33:17,040 --> 00:33:22,040 Speaker 13: This was January twenty twenty one, okay, but that you 648 00:33:22,120 --> 00:33:25,240 Speaker 13: saw actually the residential areas coming to life in ways 649 00:33:25,240 --> 00:33:27,400 Speaker 13: that they weren't before. So we spent a lot of 650 00:33:27,400 --> 00:33:31,880 Speaker 13: time looking for commercial real estate in a residential neighborhood, 651 00:33:31,880 --> 00:33:34,760 Speaker 13: which is hard to find because of infrastructural reasons in 652 00:33:34,800 --> 00:33:37,680 Speaker 13: San Francisco, and we landed in Hayes Valley, which, for 653 00:33:37,680 --> 00:33:40,000 Speaker 13: those who don't know, San Francisco is like a hand 654 00:33:40,520 --> 00:33:42,920 Speaker 13: and Hayes Valley is right in the center of the hand. 655 00:33:42,920 --> 00:33:47,600 Speaker 13: We're currently over here like along the water and kind. 656 00:33:47,400 --> 00:33:48,040 Speaker 1: Of by Luck. 657 00:33:48,080 --> 00:33:50,280 Speaker 13: I like to think that maybe we wilded into existence 658 00:33:50,320 --> 00:33:53,040 Speaker 13: in some way. Hayes Valley is now known as Thribol Valley, 659 00:33:53,040 --> 00:33:55,720 Speaker 13: as you mentioned, which is a comment on all of 660 00:33:55,760 --> 00:33:57,840 Speaker 13: the AI companies and all of the AI talent that 661 00:33:57,840 --> 00:34:01,680 Speaker 13: you're seeing, And it really does feel alive in a 662 00:34:01,720 --> 00:34:04,240 Speaker 13: way that I haven't seen in a neighborhood in San Francisco, 663 00:34:04,280 --> 00:34:05,200 Speaker 13: and I've been here for ten years. 664 00:34:05,240 --> 00:34:07,880 Speaker 2: Real terms, a lot of people that watch Bloomberg Technology 665 00:34:08,040 --> 00:34:12,120 Speaker 2: are founders, early stage or otherwise. They are investors in vcs. 666 00:34:12,120 --> 00:34:15,080 Speaker 2: They're just people that enjoy technology. And the way that 667 00:34:15,120 --> 00:34:16,920 Speaker 2: Gary tampered it is that if you go to I'm 668 00:34:16,920 --> 00:34:18,120 Speaker 2: not going to name my favorite, if you go to 669 00:34:18,160 --> 00:34:21,239 Speaker 2: any cafe in Hayes Valley, you tell me you're after 670 00:34:21,239 --> 00:34:25,120 Speaker 2: the show that you can literally bump into a brilliant 671 00:34:25,160 --> 00:34:27,080 Speaker 2: mind in the field of AI. Is it literally as 672 00:34:27,120 --> 00:34:27,880 Speaker 2: granular as that? 673 00:34:27,920 --> 00:34:29,400 Speaker 1: It is literally as granular as that. 674 00:34:29,440 --> 00:34:32,920 Speaker 13: So you walk around Hayes Valley and you bump into 675 00:34:33,200 --> 00:34:36,760 Speaker 13: people that are working on interesting things. Like last week, 676 00:34:36,960 --> 00:34:38,680 Speaker 13: there's a little green area in the center of the 677 00:34:38,680 --> 00:34:41,200 Speaker 13: center of the neighborhood and I ran into someone who 678 00:34:41,239 --> 00:34:43,000 Speaker 13: I knew from the Crypto World who was speaking with. 679 00:34:42,960 --> 00:34:43,880 Speaker 1: This AI founder. 680 00:34:44,360 --> 00:34:47,360 Speaker 13: And then also like you'll walk around and literally, like 681 00:34:47,440 --> 00:34:50,080 Speaker 13: how they talked about in the nineties, you'll see garage 682 00:34:50,120 --> 00:34:52,640 Speaker 13: doors open and people on their computers, and you'll literally 683 00:34:52,719 --> 00:34:56,640 Speaker 13: see on the telephone polls flyers for AI Happy Hours, 684 00:34:56,680 --> 00:34:58,400 Speaker 13: AI Hakathans very quickly. 685 00:34:58,480 --> 00:35:00,640 Speaker 2: Are you seeing the same energy and crypt which is 686 00:35:00,680 --> 00:35:04,120 Speaker 2: your background, the same entrepreneurship and energy. 687 00:35:04,960 --> 00:35:08,240 Speaker 1: The energy is still there. However, there is this. 688 00:35:09,640 --> 00:35:13,000 Speaker 13: Classification of person that my partner James Currier calls fruitflies, 689 00:35:13,360 --> 00:35:15,440 Speaker 13: the people who you know fly around. 690 00:35:15,200 --> 00:35:17,160 Speaker 1: To the sweetest thing. And I think some of. 691 00:35:17,120 --> 00:35:20,200 Speaker 13: Those fruitflies have gone from crypto to AI to the 692 00:35:20,239 --> 00:35:23,640 Speaker 13: Hayes Valley comment though, my partner James Currier, who moved 693 00:35:23,640 --> 00:35:26,480 Speaker 13: here in the nineties, also talks about how Silk and 694 00:35:26,560 --> 00:35:30,480 Speaker 13: Valley and what brought him here was the creator culture 695 00:35:30,840 --> 00:35:32,879 Speaker 13: and how when you came here, anyone you would bump 696 00:35:32,880 --> 00:35:35,280 Speaker 13: into at a cafe or on the street was building 697 00:35:35,320 --> 00:35:37,759 Speaker 13: something and that was really exciting. And then he talks 698 00:35:37,800 --> 00:35:40,799 Speaker 13: about how it transitioned into the money culture and how 699 00:35:40,840 --> 00:35:43,040 Speaker 13: everyone you talked to was telling you about their Tesla. 700 00:35:42,760 --> 00:35:43,880 Speaker 1: Lamborghini or whatever. 701 00:35:44,360 --> 00:35:46,359 Speaker 13: And it feels like for the first time, he said, 702 00:35:46,400 --> 00:35:48,480 Speaker 13: in the past thirty years. It we're back at that 703 00:35:48,520 --> 00:35:52,600 Speaker 13: creator culture feeling in specifically Hayes Valley and that's nice 704 00:35:52,600 --> 00:35:53,279 Speaker 13: to feel, all. 705 00:35:53,280 --> 00:35:55,640 Speaker 2: Right and Facts General partner Morgan Bella, good to catch 706 00:35:55,719 --> 00:35:58,279 Speaker 2: up in person here in San Francisco. And now coming 707 00:35:58,360 --> 00:36:00,680 Speaker 2: up runway securing in a dish or one hundred and 708 00:36:00,719 --> 00:36:03,840 Speaker 2: forty million dollars in funding from some big names in 709 00:36:03,880 --> 00:36:05,279 Speaker 2: the world of tech. We're going to sit down and 710 00:36:05,360 --> 00:36:08,439 Speaker 2: exclusive with the CEO and Bloomboat's Rachel Metz, who leads 711 00:36:08,480 --> 00:36:09,200 Speaker 2: the AI charge. 712 00:36:09,239 --> 00:36:10,800 Speaker 3: That is next. This is Bloomberg