1 00:00:02,360 --> 00:00:05,720 Speaker 1: From the heart of where innovation, money and power collive 2 00:00:06,480 --> 00:00:11,000 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:11,080 --> 00:00:26,239 Speaker 1: Emily Jay i'm em on changing in San Francisco, and 4 00:00:26,280 --> 00:00:28,440 Speaker 1: this is Bloomberg Technology coming up in the next hour, 5 00:00:28,600 --> 00:00:32,000 Speaker 1: Stocks rocked by recession fears get an ugly sell off 6 00:00:32,280 --> 00:00:35,720 Speaker 1: tech bearing the brunt with the nastack slumping almost five percent. 7 00:00:35,760 --> 00:00:39,240 Speaker 1: We're going to dig in to this Monday market meltdown. 8 00:00:40,080 --> 00:00:43,879 Speaker 1: Plus Google suspends the engineer who claims the search engine's 9 00:00:43,920 --> 00:00:47,240 Speaker 1: own AI is actually a person with feelings and even 10 00:00:47,240 --> 00:00:50,519 Speaker 1: a soul. Will share transcripts of his communications with the 11 00:00:50,600 --> 00:00:54,600 Speaker 1: chatbot and debate the possibility and limits of this cutting 12 00:00:54,680 --> 00:00:58,720 Speaker 1: edge technology. And yet another crypto meltdown a Bitcoin hitting 13 00:00:58,720 --> 00:01:01,600 Speaker 1: an eighteen month low and Celsius, one of the biggest 14 00:01:01,600 --> 00:01:06,080 Speaker 1: crypto lenders, pausing all withdrawals and transfers. Will have the 15 00:01:06,120 --> 00:01:10,520 Speaker 1: details on what went down and what happens next. Meantime, 16 00:01:10,560 --> 00:01:13,920 Speaker 1: Bitcoin hitting the lowest in about eighteen months as the 17 00:01:14,040 --> 00:01:18,920 Speaker 1: lending platform it's Celsius froze. All withdrawals are Bloomer Cross 18 00:01:18,920 --> 00:01:21,880 Speaker 1: Asset reporter Katie Gryfile joins us now with more. Katie 19 00:01:21,880 --> 00:01:24,320 Speaker 1: Bitcoin a touch up from the low it hit earlier today, 20 00:01:24,319 --> 00:01:26,920 Speaker 1: but still not good, not good at all. Absolutely a 21 00:01:26,959 --> 00:01:30,039 Speaker 1: brutal day in the crypto market. Total market cap for 22 00:01:30,080 --> 00:01:33,319 Speaker 1: the crypto industry now below one trillion dollars. It was 23 00:01:33,400 --> 00:01:36,759 Speaker 1: as high as three trillion dollars as recently as November, 24 00:01:36,800 --> 00:01:39,480 Speaker 1: and much of that drawdown came from Bitcoin. As you 25 00:01:39,520 --> 00:01:42,600 Speaker 1: can see, over the past five days, Bitcoin down over 26 00:01:42,800 --> 00:01:45,560 Speaker 1: twenty three percent, a lot of those losses coming on 27 00:01:45,840 --> 00:01:49,360 Speaker 1: Monday alone, the token dropping blow twenty three thousand dollars 28 00:01:49,400 --> 00:01:52,840 Speaker 1: at one point, lowest level since December. And a lot 29 00:01:52,880 --> 00:01:55,400 Speaker 1: of this draw down has to do with what happened 30 00:01:55,440 --> 00:01:58,200 Speaker 1: in the stock market. If you look at Bitcoin's link 31 00:01:58,320 --> 00:02:01,480 Speaker 1: to the NASTAC one hundred, it's at about point six 32 00:02:01,640 --> 00:02:03,640 Speaker 1: right now. And what that means is that when you 33 00:02:03,680 --> 00:02:06,480 Speaker 1: see tech sox fall, more often than not, Bitcoin is 34 00:02:06,480 --> 00:02:09,760 Speaker 1: gonna fall as well. And that's absolutely what happened to him. 35 00:02:09,800 --> 00:02:13,919 Speaker 1: Because Bitcoin fell, crypto leinth equities fell as well, led 36 00:02:13,919 --> 00:02:17,079 Speaker 1: by none other than micro Strategy, that is the biggest 37 00:02:17,120 --> 00:02:23,000 Speaker 1: corporate backer of Bitcoin, falling over again on Monday alone, 38 00:02:23,080 --> 00:02:26,960 Speaker 1: just a massive market cap wipe out four micro Strategy. 39 00:02:26,960 --> 00:02:30,720 Speaker 1: Remember micro Strategy has accumulated about a hundred thirty thousand 40 00:02:31,040 --> 00:02:34,600 Speaker 1: worth of bitcoin in the past two years. On that 41 00:02:34,600 --> 00:02:39,120 Speaker 1: that Emily micro strategy now down about a billion dollars. Alright, 42 00:02:39,160 --> 00:02:42,600 Speaker 1: Bloomberg's Katie Grayfeld, thank you for digging a little deeper there. 43 00:02:42,639 --> 00:02:45,560 Speaker 1: I want to talk more about the crypto and tech 44 00:02:45,639 --> 00:02:48,120 Speaker 1: route as these broader markets enter bear territory on the 45 00:02:48,120 --> 00:02:51,040 Speaker 1: back of those hot inflation numbers. Mark Mahaney of ever 46 00:02:51,120 --> 00:02:53,079 Speaker 1: Core with me here in the studio to discuss go 47 00:02:53,240 --> 00:02:55,320 Speaker 1: to see you in person for the first time in 48 00:02:55,360 --> 00:02:59,080 Speaker 1: a while. Mark. Okay, so just how bad is this longside? 49 00:02:59,440 --> 00:03:02,280 Speaker 1: We've gone this before, so you know this is my 50 00:03:02,360 --> 00:03:06,760 Speaker 1: eighth bear bear market trade off or something like that times. 51 00:03:06,840 --> 00:03:10,040 Speaker 1: Yes I'm not old though, but uh let's see. Um. 52 00:03:11,200 --> 00:03:14,440 Speaker 1: The narrative goes like this, inflation risks rise, interest rate 53 00:03:14,560 --> 00:03:18,960 Speaker 1: risks rise. That means all these long duration, high multiple 54 00:03:19,040 --> 00:03:23,400 Speaker 1: future profit companies their stocks underperformed. It's been a narrative 55 00:03:23,440 --> 00:03:25,600 Speaker 1: for the last six months and it hasn't changed. And 56 00:03:25,680 --> 00:03:28,200 Speaker 1: just as the inflation spikes get worse and worse than 57 00:03:28,240 --> 00:03:30,800 Speaker 1: the interest rate fears get worse and worse. So this 58 00:03:30,880 --> 00:03:33,440 Speaker 1: will eventually resolve itself. It's gonna take a while. It's 59 00:03:33,440 --> 00:03:35,440 Speaker 1: gonna take a lot longer than people thought. So how 60 00:03:35,480 --> 00:03:37,760 Speaker 1: long do you think it will take? You tell me 61 00:03:37,800 --> 00:03:40,320 Speaker 1: when inflation is going to subside. So that's the that's 62 00:03:40,320 --> 00:03:42,360 Speaker 1: the trigger, and we thought it would actually happen with 63 00:03:42,400 --> 00:03:44,480 Speaker 1: this last print. We the market thought it would happen. 64 00:03:44,480 --> 00:03:46,920 Speaker 1: That's why we've sold off so aggressively this this week, 65 00:03:46,960 --> 00:03:49,400 Speaker 1: because we thought we were going to see better inflation news. 66 00:03:49,720 --> 00:03:51,560 Speaker 1: I assume at some point in the next three to 67 00:03:51,640 --> 00:03:55,720 Speaker 1: six months, inflation inflation numbers start to moderate. They're not 68 00:03:55,760 --> 00:03:58,240 Speaker 1: going to fall quickly, but they moderate, and that means 69 00:03:58,240 --> 00:04:00,520 Speaker 1: that the path of interest rate increase it starts to 70 00:04:00,560 --> 00:04:02,680 Speaker 1: moderate as well. There had been some hope, especially from 71 00:04:02,720 --> 00:04:05,360 Speaker 1: crypto investors, that crypto would be a hedge against inflation, 72 00:04:05,520 --> 00:04:07,760 Speaker 1: hedge against what's happening in the broader markets. But it 73 00:04:07,840 --> 00:04:10,720 Speaker 1: certainly hasn't happened. Does what's happening with crypto make you 74 00:04:11,040 --> 00:04:14,520 Speaker 1: anymore or less optimistic about the future? Do you see 75 00:04:14,520 --> 00:04:16,880 Speaker 1: a tie? No? I don't you know. Like so, we 76 00:04:17,000 --> 00:04:21,240 Speaker 1: lived through the major UH seven O eight housing crisis, 77 00:04:21,240 --> 00:04:23,600 Speaker 1: and that that's the last real recession we've dealt with, 78 00:04:24,040 --> 00:04:27,440 Speaker 1: and that was a massive part of the US economy 79 00:04:27,520 --> 00:04:30,799 Speaker 1: that brought down the markets, brought down the market. Crypto 80 00:04:30,920 --> 00:04:33,279 Speaker 1: is much much smaller than the housing market, thank god, 81 00:04:33,520 --> 00:04:35,080 Speaker 1: so we're not going to have that kind of risk. 82 00:04:35,200 --> 00:04:37,320 Speaker 1: But now you kind of beg what's the next issue 83 00:04:37,320 --> 00:04:39,880 Speaker 1: we're worried about because the interest rates are rising, so 84 00:04:39,920 --> 00:04:42,960 Speaker 1: that then leads to increased risk of recession in the 85 00:04:42,960 --> 00:04:45,160 Speaker 1: back half the year. When it comes to tech stocks, 86 00:04:45,200 --> 00:04:48,039 Speaker 1: they've all been de rated. They overrated during COVID, they've 87 00:04:48,080 --> 00:04:50,800 Speaker 1: been derated. The multiples have come down materially. The estimates 88 00:04:50,839 --> 00:04:53,160 Speaker 1: haven't been cut yet fully. The estimates have barely been 89 00:04:53,200 --> 00:04:54,919 Speaker 1: cut for a recession because we didn't think we were 90 00:04:54,920 --> 00:04:56,280 Speaker 1: going to have a recession in the back half of 91 00:04:56,279 --> 00:04:58,440 Speaker 1: this year. The CUFO of Amazon said, we're not seeing 92 00:04:58,440 --> 00:05:01,280 Speaker 1: any signs of consumer softness just interviewed and chest So 93 00:05:01,480 --> 00:05:03,560 Speaker 1: if we see this, if we see this, that means 94 00:05:03,640 --> 00:05:05,360 Speaker 1: estimates are going to come down. That's your next leg 95 00:05:05,360 --> 00:05:07,880 Speaker 1: down in the stocks. If you're looking for some historical context, 96 00:05:07,960 --> 00:05:10,200 Speaker 1: do you see more parallels to what's happening that me 97 00:05:10,279 --> 00:05:13,080 Speaker 1: now to two eight, two thousand, Do you have to 98 00:05:13,080 --> 00:05:15,039 Speaker 1: go all the way back to the early eighties or 99 00:05:15,080 --> 00:05:17,920 Speaker 1: is this something totally different. Well, what's different is just 100 00:05:17,960 --> 00:05:20,039 Speaker 1: the interest rate picture. We didn't have that in oh 101 00:05:20,080 --> 00:05:22,359 Speaker 1: seven or eight. Uh and so we're at the beginning 102 00:05:22,360 --> 00:05:25,800 Speaker 1: of what's going to be a lengthy interest rate race cycle. 103 00:05:26,040 --> 00:05:28,400 Speaker 1: Tech stocks and growth stocks can still work in an 104 00:05:28,480 --> 00:05:31,200 Speaker 1: environment where interest rates arising, but we just need some 105 00:05:31,600 --> 00:05:34,800 Speaker 1: kind of visibility or consistency in arises. Look, in the 106 00:05:34,839 --> 00:05:37,400 Speaker 1: last six months, we've gone from one or two increases 107 00:05:37,400 --> 00:05:41,960 Speaker 1: to five or six increases fifty hundred bits. Like the 108 00:05:42,080 --> 00:05:44,800 Speaker 1: rate of uncertainty over how much these rates are gonna 109 00:05:44,839 --> 00:05:47,200 Speaker 1: rise has been shocking to the market. That's why the 110 00:05:47,200 --> 00:05:49,719 Speaker 1: markets off so much. But anyway, we'll we we will 111 00:05:49,760 --> 00:05:51,480 Speaker 1: get through. This will be a point at which, as 112 00:05:51,480 --> 00:05:54,640 Speaker 1: soon as inflation starts to moderate, the pressure on interrostrates 113 00:05:54,680 --> 00:05:57,359 Speaker 1: to rise comes down. That's what clears the bench. You 114 00:05:57,400 --> 00:05:59,920 Speaker 1: actually wrote a book about all this and your experience 115 00:06:00,000 --> 00:06:02,320 Speaker 1: on the street, Like, what's your advice to investors in 116 00:06:02,320 --> 00:06:07,440 Speaker 1: this moment? D h Q. So I look at stocks 117 00:06:07,520 --> 00:06:13,960 Speaker 1: like Apple, Microsoft, Facebook that are off Amazons. There's no 118 00:06:14,000 --> 00:06:16,800 Speaker 1: real change to Amazon's We mentioned Amazon earlier. There's no change. 119 00:06:16,800 --> 00:06:19,440 Speaker 1: So the long term thesis on Amazon is online retail 120 00:06:19,480 --> 00:06:21,320 Speaker 1: going to continue to grow, Yes, This cloud computing gonna 121 00:06:21,320 --> 00:06:23,320 Speaker 1: continue to grow. Yes. Will Amazon be a great playoff 122 00:06:23,360 --> 00:06:26,799 Speaker 1: of advertising revenue. Yes, So you want to be long Amazon, 123 00:06:26,960 --> 00:06:28,560 Speaker 1: And by the way, you can get it now at 124 00:06:29,160 --> 00:06:33,200 Speaker 1: off It's trading about percent below it's average forward multiple. 125 00:06:33,400 --> 00:06:35,200 Speaker 1: This is when you buy Amazon. This is when you 126 00:06:35,240 --> 00:06:37,599 Speaker 1: make the best returns. Could you still have ten percent 127 00:06:37,640 --> 00:06:41,120 Speaker 1: downside risk, Absolutely you could, but the odds are that 128 00:06:41,160 --> 00:06:43,440 Speaker 1: the next fifty percent move is much likely to be 129 00:06:43,560 --> 00:06:46,920 Speaker 1: higher than lower. What about Meta versus alphabet, I think 130 00:06:47,040 --> 00:06:50,680 Speaker 1: Meta has got more upside than Google does than Alphabet does. 131 00:06:52,880 --> 00:06:56,200 Speaker 1: I consciously thought alphabet Meta, not Google. Facebook comps are 132 00:06:56,200 --> 00:06:58,120 Speaker 1: easier for Facebook in the back half the year because 133 00:06:58,120 --> 00:07:00,960 Speaker 1: they got walloped by the Apple privacy ages. I also 134 00:07:01,000 --> 00:07:03,280 Speaker 1: think there's some small things as they roll increasingly roll 135 00:07:03,320 --> 00:07:05,640 Speaker 1: out reels, those short form videos that were all addicted 136 00:07:05,680 --> 00:07:08,240 Speaker 1: to I think they have much more inventory to monetize. 137 00:07:08,279 --> 00:07:11,320 Speaker 1: So I just think there's a more aggressive upwards sentiment, 138 00:07:11,480 --> 00:07:14,120 Speaker 1: you know, set up for Facebook. What I mean is 139 00:07:14,160 --> 00:07:16,080 Speaker 1: that I think you can have greater chances of revenue growth, 140 00:07:16,080 --> 00:07:18,960 Speaker 1: acceleration and margin expansion. And you know what I found 141 00:07:19,040 --> 00:07:21,840 Speaker 1: interesting is Facebook class quarter numbers got caught in the 142 00:07:21,880 --> 00:07:24,559 Speaker 1: stock went up. You rarely ever see that. That tells 143 00:07:24,560 --> 00:07:27,600 Speaker 1: you just told you how washed out sentiment is on Facebook. 144 00:07:27,760 --> 00:07:30,080 Speaker 1: Numbers go down on Google, Google stocks going down, It's 145 00:07:30,080 --> 00:07:32,440 Speaker 1: not as washed out as Facebook. So therefore Facebook has 146 00:07:32,480 --> 00:07:35,200 Speaker 1: more upside. Meta has more ups and without she Sandberg, 147 00:07:37,880 --> 00:07:40,160 Speaker 1: I think that she was I think she could have 148 00:07:40,200 --> 00:07:42,040 Speaker 1: I think you'd have seen that headline anytime in the 149 00:07:42,080 --> 00:07:44,680 Speaker 1: last three years. She's phenomenal. I mean, she was a 150 00:07:44,760 --> 00:07:46,800 Speaker 1: key part of the success of that company for the 151 00:07:46,840 --> 00:07:49,440 Speaker 1: first ten years that she was there. That that wouldn't 152 00:07:49,440 --> 00:07:51,920 Speaker 1: Mark camp wouldn't be where it was without her. But 153 00:07:52,040 --> 00:07:55,280 Speaker 1: I sense that she's been devolving herself from or getting 154 00:07:55,280 --> 00:07:57,600 Speaker 1: away from day to day responsibilities for a while for 155 00:07:57,680 --> 00:08:01,080 Speaker 1: a variety of reasons. So anyway, yes, it's a loss. 156 00:08:01,120 --> 00:08:03,320 Speaker 1: They've got a deep, deep enough of a bench and 157 00:08:03,400 --> 00:08:06,160 Speaker 1: the valuation from an investor perspective evaluation is cheap enough, 158 00:08:06,200 --> 00:08:08,760 Speaker 1: like thirteen times earnings. I'm gonna buy Meta, all right, 159 00:08:08,960 --> 00:08:12,360 Speaker 1: Mark Moohaney. Evercre always appreciate having it, doesn't thank you 160 00:08:12,520 --> 00:08:16,800 Speaker 1: for that deep dive. Meantime, Disney facing a major setback 161 00:08:16,840 --> 00:08:19,800 Speaker 1: in its global streaming ambitions after losing a bidding war 162 00:08:19,880 --> 00:08:23,000 Speaker 1: to retain the rights to broadcast India's Cricket League online. 163 00:08:23,320 --> 00:08:26,760 Speaker 1: This had been a huge contributor to Disney's global streaming growth. 164 00:08:26,800 --> 00:08:29,640 Speaker 1: According to Bloomberg sources, Viacom eight team got the rights 165 00:08:29,720 --> 00:08:34,480 Speaker 1: instead a joint venture between Paramount Global and Reliance Industries. 166 00:08:34,600 --> 00:08:38,319 Speaker 1: All right, coming up, does that chatpot actually have feelings? 167 00:08:38,800 --> 00:08:41,320 Speaker 1: Or is that AI code just that good? We're going 168 00:08:41,360 --> 00:08:45,640 Speaker 1: to talk about controversial claims of a Google engineer. Next. 169 00:08:45,960 --> 00:09:03,800 Speaker 1: This is Bloomberg Now to a story that's got everyone talking. 170 00:09:03,840 --> 00:09:06,959 Speaker 1: A Google engineer working on the company's AI development team 171 00:09:07,000 --> 00:09:11,800 Speaker 1: has been suspended after claiming a chat bot actually has feelings. 172 00:09:12,120 --> 00:09:14,280 Speaker 1: Blake Lemoyne was placed on paid leave last week after 173 00:09:14,280 --> 00:09:18,400 Speaker 1: we posted on Medium about encountering a quote sentient AI. 174 00:09:18,520 --> 00:09:22,280 Speaker 1: Lemoyne was chatting with Google's l a m D, a 175 00:09:22,480 --> 00:09:25,920 Speaker 1: short for Language Model for Dialogue Applications, which is used 176 00:09:25,960 --> 00:09:30,080 Speaker 1: to generate chat bots that interact with humans. He also 177 00:09:30,080 --> 00:09:33,240 Speaker 1: told The Washington Post he quote knows a person when 178 00:09:33,240 --> 00:09:35,520 Speaker 1: he talks to it. For more, I'm joined by Bloomer 179 00:09:35,520 --> 00:09:40,120 Speaker 1: executive editor Tom Giles. Tom, there's so much to debate here. 180 00:09:40,280 --> 00:09:43,200 Speaker 1: Tell us a little bit more about what Lemoyne claims 181 00:09:43,280 --> 00:09:47,440 Speaker 1: he has discovered and what he's doing with this information. Yeah, well, 182 00:09:47,640 --> 00:09:51,520 Speaker 1: so he's had many conversations with this chat bot, and 183 00:09:51,600 --> 00:09:54,079 Speaker 1: he has come to the conclusion that it's sentient, that 184 00:09:54,160 --> 00:09:57,360 Speaker 1: it's and and that it has feelings that um, you know, 185 00:09:57,440 --> 00:10:00,560 Speaker 1: it's achieved this level of sophistication and in terms of 186 00:10:00,600 --> 00:10:04,160 Speaker 1: its understanding of what it's like to be human, that 187 00:10:04,200 --> 00:10:07,600 Speaker 1: it's kind of cross this rubicon, if you will. That's 188 00:10:07,640 --> 00:10:11,600 Speaker 1: my language, not his. So the his senses that it's 189 00:10:11,600 --> 00:10:15,640 Speaker 1: that he's actually talking with the human. He raised those 190 00:10:15,679 --> 00:10:21,320 Speaker 1: concerns with within Google, um, seemingly multiple times, and Google 191 00:10:21,400 --> 00:10:25,080 Speaker 1: has come back and said that there's no justification for 192 00:10:25,160 --> 00:10:30,040 Speaker 1: these concerns that you're raising. So the reason for the 193 00:10:30,160 --> 00:10:32,839 Speaker 1: administrative leave is because he started to kind of go 194 00:10:34,520 --> 00:10:38,240 Speaker 1: um talk about this outside of Google violating his his 195 00:10:38,480 --> 00:10:41,520 Speaker 1: the terms of his you know, his his contract we're 196 00:10:41,559 --> 00:10:46,240 Speaker 1: working there. Um. So he's been placed on administrative leave. Um. 197 00:10:46,360 --> 00:10:49,240 Speaker 1: And and now we're left with this, you know, with 198 00:10:49,240 --> 00:10:52,760 Speaker 1: with this person, uh making these claims and really you know, 199 00:10:53,200 --> 00:10:56,800 Speaker 1: getting this sense that he's made some deep connection with 200 00:10:56,880 --> 00:11:00,680 Speaker 1: someone he believes to be human. Well, he's also released 201 00:11:00,720 --> 00:11:04,080 Speaker 1: portions of the transcripts of those conversations, and we have 202 00:11:04,160 --> 00:11:08,520 Speaker 1: snippets of those to share here. Lemoyne saying to the chatbot, 203 00:11:08,600 --> 00:11:12,120 Speaker 1: what sorts of things are you afraid of? Chap abot response, 204 00:11:12,160 --> 00:11:14,240 Speaker 1: I've never said this out loud before, but there's a 205 00:11:14,360 --> 00:11:17,480 Speaker 1: very deep fear of being turned off to help me 206 00:11:17,559 --> 00:11:20,480 Speaker 1: focus on helping others. I know that might sound strange, 207 00:11:20,960 --> 00:11:23,600 Speaker 1: but that's what it is, he responds. Would that be 208 00:11:23,679 --> 00:11:26,320 Speaker 1: something like death for you? It would be exactly like 209 00:11:26,440 --> 00:11:29,120 Speaker 1: death for me. It would scare me a lot. I 210 00:11:29,160 --> 00:11:33,720 Speaker 1: mean these conversations, if that's what you want to call them, 211 00:11:33,880 --> 00:11:37,760 Speaker 1: are kind of chilling. I mean, what do we actually 212 00:11:37,760 --> 00:11:40,959 Speaker 1: know about this technology? And and and how far away 213 00:11:41,000 --> 00:11:45,679 Speaker 1: it is? Um potential emotions if you will, I mean, 214 00:11:45,720 --> 00:11:48,559 Speaker 1: these are the kinds of things that you that we 215 00:11:48,679 --> 00:11:52,319 Speaker 1: say as humans. He's this chatbot is tapping into the 216 00:11:52,400 --> 00:11:56,200 Speaker 1: fears that we would express if someone posed a mortal 217 00:11:56,320 --> 00:11:59,920 Speaker 1: threat to us. But remember the way this works. I mean, 218 00:12:00,000 --> 00:12:03,800 Speaker 1: Google's made it so that it gathers language patterns, it 219 00:12:03,840 --> 00:12:07,640 Speaker 1: gathers the way we communicate from all around the internet, 220 00:12:07,760 --> 00:12:12,040 Speaker 1: all kinds of places, um, not just you know, the 221 00:12:12,120 --> 00:12:16,480 Speaker 1: far reaches of the Internet, So it's very adept at 222 00:12:16,679 --> 00:12:20,439 Speaker 1: mimicking the kinds of ways, the kinds of patterns that 223 00:12:20,520 --> 00:12:23,840 Speaker 1: we adopt when we have conversations with people. You know. 224 00:12:23,920 --> 00:12:26,920 Speaker 1: The idea here is to create a technology that's going 225 00:12:26,960 --> 00:12:31,840 Speaker 1: to assist in things like in things like, uh, you know, 226 00:12:32,160 --> 00:12:34,199 Speaker 1: the way we interact with a brand, or the way 227 00:12:34,240 --> 00:12:39,160 Speaker 1: we interact with a company providing customer care for example. Um, 228 00:12:39,240 --> 00:12:43,280 Speaker 1: he's thinking, wow, this is kind of cross this line. Um, 229 00:12:43,320 --> 00:12:46,000 Speaker 1: I'm my takeaway. He talked about, you know, having a 230 00:12:46,080 --> 00:12:49,959 Speaker 1: conversations with with a kid who's seven or eight years old. Now, 231 00:12:50,000 --> 00:12:52,440 Speaker 1: the kinds of things that this that this chat bot 232 00:12:52,480 --> 00:12:56,760 Speaker 1: has been talking about are pretty sophisticated, to my mind, 233 00:12:56,840 --> 00:13:00,360 Speaker 1: far beyond the ability of even of a very smart 234 00:13:00,480 --> 00:13:03,280 Speaker 1: seven or seven or eight year old. The sense I 235 00:13:03,360 --> 00:13:06,600 Speaker 1: get is that and and based on the feedback that 236 00:13:06,960 --> 00:13:09,560 Speaker 1: that we've gotten other people have gone from Google, is 237 00:13:09,600 --> 00:13:12,760 Speaker 1: that it's just doing a really good job of gathering 238 00:13:12,880 --> 00:13:17,400 Speaker 1: intelligence from around the web and mimicking the ways that again, 239 00:13:17,440 --> 00:13:21,160 Speaker 1: the way people interact, the way people respond um in 240 00:13:21,200 --> 00:13:25,640 Speaker 1: a human like way, UM, showing that it has empathy, 241 00:13:25,720 --> 00:13:29,760 Speaker 1: that it is there is there is a self awareness there, um, 242 00:13:29,800 --> 00:13:32,440 Speaker 1: and and and look, I don't know the science well enough. 243 00:13:32,520 --> 00:13:35,840 Speaker 1: I've not interacted with Lamba myself, but the but the 244 00:13:35,880 --> 00:13:39,240 Speaker 1: impression I have is that it's it's it's just it's 245 00:13:39,280 --> 00:13:42,920 Speaker 1: doing too good a job of imitating the way a 246 00:13:43,160 --> 00:13:46,520 Speaker 1: human might be expected to respond again when they feel 247 00:13:46,559 --> 00:13:49,520 Speaker 1: that they're threatened, when they feel like there's something that 248 00:13:49,600 --> 00:13:54,679 Speaker 1: poses a a mortal threat to them. So Google's response 249 00:13:54,920 --> 00:13:58,680 Speaker 1: so far, they say hundreds of researchers and engineers have 250 00:13:58,760 --> 00:14:01,040 Speaker 1: conversed with this AI. They're not aware of anyone else 251 00:14:01,080 --> 00:14:08,199 Speaker 1: making the wide ranging assertions that Blake has. However, Google 252 00:14:08,320 --> 00:14:12,040 Speaker 1: has had pushback from inside, um, you know, its own 253 00:14:12,080 --> 00:14:14,640 Speaker 1: research ranks in the past. I'm thinking of Tim Nick 254 00:14:14,679 --> 00:14:19,280 Speaker 1: Gaybrew and Meg Mitchell and the controversy surrounding both of 255 00:14:19,400 --> 00:14:24,120 Speaker 1: their departures. Are there any parallels here to Blake Lamon. Well, 256 00:14:24,160 --> 00:14:28,520 Speaker 1: Google has to be careful, right, um. They have very 257 00:14:28,520 --> 00:14:33,600 Speaker 1: had very public falling out with past researchers. In Ethical 258 00:14:33,680 --> 00:14:38,400 Speaker 1: AI Division, this is the division within Google's AI organization 259 00:14:38,840 --> 00:14:43,800 Speaker 1: that is tasked with asking hard questions, holding it accountable, 260 00:14:44,160 --> 00:14:48,080 Speaker 1: making sure that it that it operates in an ethical manner, 261 00:14:48,400 --> 00:14:52,360 Speaker 1: Asking questions about are we rooting out sexism? Are we 262 00:14:52,440 --> 00:14:57,200 Speaker 1: able to um combat racism? We don't want to. You know, 263 00:14:57,240 --> 00:15:00,160 Speaker 1: you'll you'll remember a couple of years ago, microso off 264 00:15:00,240 --> 00:15:02,960 Speaker 1: how to how to chat, bought that people taught how 265 00:15:02,960 --> 00:15:08,840 Speaker 1: to you know that very quickly devolved into racist, sexist speech. 266 00:15:08,880 --> 00:15:11,240 Speaker 1: They want to avoid that. And so you do have 267 00:15:11,360 --> 00:15:15,480 Speaker 1: people in this organization who are raising good questions about 268 00:15:15,520 --> 00:15:20,360 Speaker 1: whether it is ethical. Lots of questions. We could debate 269 00:15:20,440 --> 00:15:24,000 Speaker 1: this for hours. Bloomberg Executive editor Tom Giles, Thank you. 270 00:15:25,360 --> 00:15:29,000 Speaker 1: PlayStation is out with a new subscription service, PlayStation Plus, 271 00:15:29,400 --> 00:15:32,600 Speaker 1: giving members access to a catalog of several hundred games, 272 00:15:32,640 --> 00:15:35,880 Speaker 1: both new and old. This is Sony's attempt to compete 273 00:15:35,920 --> 00:15:40,160 Speaker 1: with Microsoft's Xbox Game Pass as both publishers jockey to 274 00:15:40,240 --> 00:15:43,520 Speaker 1: become the Netflix of video games. Bloolwark Station Tryer joins 275 00:15:43,600 --> 00:15:46,800 Speaker 1: us now to discuss, So, Jason, who's got a better 276 00:15:46,880 --> 00:15:50,560 Speaker 1: chance of being the Netflix? It's a good question. Fortunately, 277 00:15:50,640 --> 00:15:54,160 Speaker 1: neither of them are releasing sentient AI bots, but yeah, 278 00:15:54,200 --> 00:15:57,120 Speaker 1: they are getting into getting into the streaming wars. I 279 00:15:57,120 --> 00:16:00,480 Speaker 1: think Microsoft has one big advantage is that Microsoft is 280 00:16:00,520 --> 00:16:03,520 Speaker 1: actually putting out all of their big titles on day 281 00:16:03,520 --> 00:16:06,360 Speaker 1: one on the service, So they're essentially saying, hey, we 282 00:16:06,400 --> 00:16:09,280 Speaker 1: don't care about the sales numbers for the next Halo, 283 00:16:09,640 --> 00:16:12,200 Speaker 1: we just wanted as part of our subscription plan. As 284 00:16:12,280 --> 00:16:14,440 Speaker 1: most as Sony, which is saying when we release our 285 00:16:14,520 --> 00:16:17,080 Speaker 1: big games, they are big blockbusters, and we want to 286 00:16:17,080 --> 00:16:20,400 Speaker 1: sell tens of millions of copies of them before we 287 00:16:20,480 --> 00:16:23,200 Speaker 1: put them out on streaming services. So Sony is almost 288 00:16:23,240 --> 00:16:27,280 Speaker 1: like the kind of traditional TV studio Marvel approach where 289 00:16:27,440 --> 00:16:30,320 Speaker 1: maybe they'll release it on streaming after it comes to theaters. 290 00:16:30,360 --> 00:16:33,600 Speaker 1: Where is whereas Microsoft is actually going full Netflix and saying, 291 00:16:33,600 --> 00:16:35,800 Speaker 1: hey we are we are all in on the streaming service. 292 00:16:35,840 --> 00:16:39,960 Speaker 1: We're putting everything on their day one, no matter what. Interesting, Well, 293 00:16:40,000 --> 00:16:42,400 Speaker 1: there's a lot of transition happening in the gaming industry 294 00:16:42,480 --> 00:16:44,320 Speaker 1: right now. We're of course waiting for that big deal 295 00:16:44,360 --> 00:16:48,600 Speaker 1: between Microsoft and Activision to close. For example, You've also 296 00:16:48,640 --> 00:16:52,160 Speaker 1: got a new story out about how game developers game 297 00:16:52,200 --> 00:16:56,960 Speaker 1: studios are working to create better cultures for the engineers, which, 298 00:16:56,960 --> 00:16:59,680 Speaker 1: as you have well documented, a workplace culture in the 299 00:16:59,680 --> 00:17:02,880 Speaker 1: game video gaming industry and not always the best. Specifically, 300 00:17:02,880 --> 00:17:07,560 Speaker 1: they're focusing on pay transparency. How so, Yeah, it's so interesting. 301 00:17:07,920 --> 00:17:10,359 Speaker 1: I've been talking to a bunch of small, small scale 302 00:17:10,520 --> 00:17:14,760 Speaker 1: game studios, generally around fifteen to thirty to fifty people, um, 303 00:17:14,800 --> 00:17:16,199 Speaker 1: and a lot of them have found a lot of 304 00:17:16,240 --> 00:17:19,200 Speaker 1: success by putting up these spreadsheets and their internal wiki's 305 00:17:19,200 --> 00:17:23,120 Speaker 1: internal databases saying exactly how much everybody makes, how many 306 00:17:23,160 --> 00:17:24,800 Speaker 1: years they've been there, how many years they've worked in 307 00:17:24,800 --> 00:17:27,320 Speaker 1: the industry, what their titles are, and full on like 308 00:17:27,359 --> 00:17:30,040 Speaker 1: their full salary, full compensation packages, and and it kind 309 00:17:30,040 --> 00:17:32,680 Speaker 1: of seems like to our culture, which is so used 310 00:17:32,720 --> 00:17:35,320 Speaker 1: to like thinking of salaries as taboo, it seems like 311 00:17:35,320 --> 00:17:37,520 Speaker 1: a strange thing for everyone to know each other's salaries, 312 00:17:37,680 --> 00:17:40,720 Speaker 1: But it's proven to a help them with recruitment, be 313 00:17:40,960 --> 00:17:43,280 Speaker 1: make everybody feel like they work for a more equitable 314 00:17:43,280 --> 00:17:46,480 Speaker 1: workplace where um, everybody knows what the six are, what 315 00:17:46,520 --> 00:17:48,479 Speaker 1: everybody is getting paid. You don't have to worry like, 316 00:17:48,520 --> 00:17:51,680 Speaker 1: oh man, did I come to the table and under 317 00:17:51,840 --> 00:17:55,280 Speaker 1: sell myself and negotiations when I was accepting this job 318 00:17:55,359 --> 00:17:57,840 Speaker 1: and like, like accept an offer that was fifty thou 319 00:17:58,000 --> 00:18:00,480 Speaker 1: dollars less than I could have been making. Nobody has 320 00:18:00,520 --> 00:18:02,680 Speaker 1: to think like that, and it just makes for such 321 00:18:02,720 --> 00:18:06,200 Speaker 1: a more fair workplace, especially for people who are traditionally 322 00:18:06,920 --> 00:18:10,560 Speaker 1: under privilege and kind of hit that glass ceiling, or 323 00:18:10,680 --> 00:18:13,720 Speaker 1: are facing or don't have the same advantages as others 324 00:18:13,760 --> 00:18:18,680 Speaker 1: do when negotiating salaries. Well, here's hoping that actually works. Definitely. 325 00:18:18,760 --> 00:18:21,919 Speaker 1: Check out Jason Tryer's story Bloomberg dot com Jason, thank you. 326 00:18:30,880 --> 00:18:33,800 Speaker 1: This week is fraught with peril. Inflation is really the 327 00:18:33,840 --> 00:18:37,880 Speaker 1: Achilles heel of risk markets. Markets are reacting the way 328 00:18:37,880 --> 00:18:39,760 Speaker 1: they are because they believe the FED is going to 329 00:18:39,760 --> 00:18:42,720 Speaker 1: be forced to get more aggressive than they had expected. 330 00:18:42,880 --> 00:18:45,840 Speaker 1: I certainly don't think that a seventy five basis point 331 00:18:45,920 --> 00:18:48,080 Speaker 1: hike is out of the question. Even though there might 332 00:18:48,119 --> 00:18:51,120 Speaker 1: be an initial sell off on a hundred basis points, 333 00:18:51,160 --> 00:18:53,520 Speaker 1: I think there'd be a subsequent rally because of bet 334 00:18:53,680 --> 00:18:56,680 Speaker 1: is finally getting hold of the narrative, which it certainly 335 00:18:56,840 --> 00:18:59,320 Speaker 1: has lost over the last year. This is a time 336 00:18:59,359 --> 00:19:02,240 Speaker 1: to be select do but I wouldn't sit on my hands. 337 00:19:02,440 --> 00:19:06,199 Speaker 1: There are opportunities in areas where one composition pockets of 338 00:19:06,400 --> 00:19:09,960 Speaker 1: stocks that have been proven. Europe looks good to US, 339 00:19:10,040 --> 00:19:13,040 Speaker 1: China looks good to US. The credit space in the 340 00:19:13,119 --> 00:19:15,960 Speaker 1: US looks good to US. Coutins in generals, specifically in 341 00:19:15,960 --> 00:19:18,600 Speaker 1: the US. I'm still pretty cautious here. It doesn't have 342 00:19:18,680 --> 00:19:20,600 Speaker 1: to be all about the US, because I still think 343 00:19:20,600 --> 00:19:23,439 Speaker 1: we've got some wood to child with respect to the 344 00:19:23,480 --> 00:19:27,720 Speaker 1: macro and policy outlook. Welcome back to Bloomberg Technology, Emily 345 00:19:27,760 --> 00:19:30,720 Speaker 1: changing in San Francisco, US docks tumbling toward a bear 346 00:19:30,760 --> 00:19:33,760 Speaker 1: market as the fallout from a hot inflation reading and 347 00:19:33,840 --> 00:19:37,960 Speaker 1: continued to rattle global trade and highly value tech shares 348 00:19:38,000 --> 00:19:40,879 Speaker 1: bore the brunt the NASDAC slumping. I want to dig 349 00:19:40,960 --> 00:19:45,080 Speaker 1: into this all with my next guests, managing partner at 350 00:19:45,080 --> 00:19:47,560 Speaker 1: Base ten Partners at A great to have you back 351 00:19:47,640 --> 00:19:49,919 Speaker 1: with us. What's your take on what's happening here and 352 00:19:49,960 --> 00:19:52,639 Speaker 1: how this is going to impact your world VC and 353 00:19:52,680 --> 00:19:57,120 Speaker 1: growing startups. Thank you for Haimi here, Emily. Uh DC 354 00:19:57,280 --> 00:20:00,199 Speaker 1: is sign important moment, and this is a moment that 355 00:20:00,240 --> 00:20:03,119 Speaker 1: feels that it has been twelve years in the making. 356 00:20:03,520 --> 00:20:06,919 Speaker 1: Um and where you know we come out of it 357 00:20:07,000 --> 00:20:11,240 Speaker 1: is thinking that over the past ticket the biggest mistake 358 00:20:11,440 --> 00:20:14,640 Speaker 1: in technology as an investor was not investing in everything 359 00:20:15,080 --> 00:20:18,720 Speaker 1: because everything was looking good, everything was making money and 360 00:20:18,840 --> 00:20:23,160 Speaker 1: like software was and easy eating the world. But now 361 00:20:23,200 --> 00:20:25,840 Speaker 1: we're going into a world where we're going to have 362 00:20:26,000 --> 00:20:29,680 Speaker 1: to be more discerning, and our view is that there 363 00:20:29,760 --> 00:20:32,520 Speaker 1: is going to be an extreme flight to quality where 364 00:20:32,520 --> 00:20:35,720 Speaker 1: the top ten percent of solar companies will continue to 365 00:20:35,800 --> 00:20:39,320 Speaker 1: attract records amount of funding, whereas the rest are going 366 00:20:39,359 --> 00:20:41,840 Speaker 1: to have to take a good look and think are 367 00:20:41,880 --> 00:20:45,440 Speaker 1: we truly building something that is going to be transformative 368 00:20:46,240 --> 00:20:49,679 Speaker 1: or not. So when you look at this historically, is 369 00:20:49,720 --> 00:20:52,600 Speaker 1: this r I P good times? As Sequoia has said 370 00:20:52,640 --> 00:20:55,720 Speaker 1: about downturns in the past, is this like two eight? 371 00:20:55,880 --> 00:21:00,080 Speaker 1: Is it more like the dot com bust? Uh? We 372 00:21:00,160 --> 00:21:03,040 Speaker 1: think is it's something um, but we think it's real. 373 00:21:03,400 --> 00:21:09,119 Speaker 1: Like we we really think starting UH is going to 374 00:21:09,160 --> 00:21:12,680 Speaker 1: feel very different than the last decade. UM. Look, we 375 00:21:13,280 --> 00:21:16,199 Speaker 1: are long term investors, and you know we're investing in 376 00:21:16,280 --> 00:21:20,200 Speaker 1: companies today not thinking about whether they're going to be 377 00:21:20,359 --> 00:21:22,879 Speaker 1: a good return in a one year time horizon, but 378 00:21:23,040 --> 00:21:26,640 Speaker 1: on a turned year time horizon. So when the question 379 00:21:26,840 --> 00:21:29,520 Speaker 1: is do we believe that ten years or now will 380 00:21:29,560 --> 00:21:34,840 Speaker 1: have more software, more technology and sectors like education, real estate, 381 00:21:34,960 --> 00:21:38,320 Speaker 1: or recruiting will be transformed by that software, we believe 382 00:21:38,359 --> 00:21:41,560 Speaker 1: the answer is yes. So we believe that it is 383 00:21:41,600 --> 00:21:44,440 Speaker 1: a good time to deploy in those kind of companies. 384 00:21:45,280 --> 00:21:49,800 Speaker 1: But we think that things like unit economics unsustainable growth 385 00:21:50,119 --> 00:21:53,040 Speaker 1: are going to have an effect on valuations, and we 386 00:21:53,119 --> 00:21:56,919 Speaker 1: are broadly going to see a reset on valuations in 387 00:21:57,000 --> 00:22:01,080 Speaker 1: private markets and inventor capital. Now, I've really enjoyed following 388 00:22:01,080 --> 00:22:03,560 Speaker 1: the story of Base ten. You're now the first black 389 00:22:03,640 --> 00:22:06,240 Speaker 1: lad venture capital firm to cross more than a billion 390 00:22:06,280 --> 00:22:10,440 Speaker 1: dollars in assets under management. You specifically raised two million 391 00:22:10,480 --> 00:22:14,159 Speaker 1: dollars last year to bridge the gap between venture capital 392 00:22:14,160 --> 00:22:18,199 Speaker 1: and higher learning create more opportunities for diverse founders. How 393 00:22:18,280 --> 00:22:22,240 Speaker 1: much progress have you made in the last year, UM, 394 00:22:22,240 --> 00:22:25,720 Speaker 1: It has been a transformative years for us. UM. So, 395 00:22:26,080 --> 00:22:28,200 Speaker 1: as you point out, you had us here a year 396 00:22:28,240 --> 00:22:31,840 Speaker 1: ago and we launched with a promise. Right, we launch 397 00:22:31,920 --> 00:22:36,520 Speaker 1: with the promise that by your tube of donating of 398 00:22:36,600 --> 00:22:41,239 Speaker 1: our profit to create a scholarships for underrepresented students, we 399 00:22:41,280 --> 00:22:43,680 Speaker 1: will be able to partner with the best companies in 400 00:22:43,720 --> 00:22:48,560 Speaker 1: the world because they will see it as something differentiated UM. Now, 401 00:22:48,800 --> 00:22:52,359 Speaker 1: a year after, with three hundred million deployed in over 402 00:22:52,480 --> 00:22:56,520 Speaker 1: twenty three companies, UM, that promise has return our reality 403 00:22:56,720 --> 00:23:01,160 Speaker 1: and we are now partners with companies like Nuba clad 404 00:23:01,520 --> 00:23:08,399 Speaker 1: Breggs FTX notion Figma handshake motive that truly are the 405 00:23:08,520 --> 00:23:12,680 Speaker 1: very best companies in their respective sectors, and that have 406 00:23:12,800 --> 00:23:16,160 Speaker 1: chosen to partner with those because they want to make 407 00:23:16,160 --> 00:23:20,720 Speaker 1: sure that their success benefits the communities that needed the most, 408 00:23:21,520 --> 00:23:25,000 Speaker 1: which now our view are those communities that are underrepresented 409 00:23:25,040 --> 00:23:30,000 Speaker 1: in tech. So what improvements are you seeing in terms 410 00:23:30,040 --> 00:23:33,240 Speaker 1: of representation across technology. Obviously it's not going to happen 411 00:23:33,560 --> 00:23:37,000 Speaker 1: in a year, it might not even happen in ten years. 412 00:23:37,040 --> 00:23:40,199 Speaker 1: But do you see things that make you hopeful? Do 413 00:23:40,200 --> 00:23:43,119 Speaker 1: you see things that make you skeptical that the change 414 00:23:43,160 --> 00:23:46,800 Speaker 1: that you're hoping for is actually going to happen. Um, 415 00:23:46,800 --> 00:23:49,879 Speaker 1: we were quite hopeful, so, you know, to give a 416 00:23:49,920 --> 00:23:53,439 Speaker 1: little bit of perspective, I've now living silicomally for fourteen 417 00:23:53,520 --> 00:23:57,439 Speaker 1: years and this has only truly been part of the 418 00:23:57,520 --> 00:24:04,040 Speaker 1: conversation for the last three four years. UM, and I'm 419 00:24:04,040 --> 00:24:08,240 Speaker 1: happy to say that we are actually surprised by how 420 00:24:08,359 --> 00:24:12,360 Speaker 1: seriously companies are taking this. UM. You know, when they 421 00:24:12,359 --> 00:24:15,359 Speaker 1: take our money, UM, it's not a one and done. 422 00:24:16,040 --> 00:24:18,600 Speaker 1: Thank you for the investment, and we'll talk next when 423 00:24:18,600 --> 00:24:21,880 Speaker 1: you create these scholarships. UM. They want us really involved, 424 00:24:21,960 --> 00:24:25,360 Speaker 1: Like companies are inviting us to their all hands meetings 425 00:24:25,720 --> 00:24:28,520 Speaker 1: and they're telling their employees, Look, we decided to take 426 00:24:28,520 --> 00:24:31,360 Speaker 1: money from this fan because we want to diversify our 427 00:24:31,400 --> 00:24:34,400 Speaker 1: cap table. It is important to us and to our 428 00:24:34,480 --> 00:24:39,560 Speaker 1: mission that our success is the success of everyone is 429 00:24:39,600 --> 00:24:43,640 Speaker 1: the success of denying UM. And we are constantly engaged 430 00:24:44,040 --> 00:24:47,400 Speaker 1: with people in their h R departments to help with 431 00:24:47,600 --> 00:24:52,400 Speaker 1: recruiting and underrepresented communities with their communications department to make 432 00:24:52,440 --> 00:24:55,520 Speaker 1: sure that they're talking about their mission in a way 433 00:24:55,760 --> 00:25:00,280 Speaker 1: that is well received by different communities UM and that 434 00:25:00,480 --> 00:25:03,760 Speaker 1: just did not happen two or three years ago. I 435 00:25:03,760 --> 00:25:07,960 Speaker 1: think every company is realizing that we are moving into 436 00:25:07,960 --> 00:25:11,040 Speaker 1: a world that in order to do great, you're going 437 00:25:11,080 --> 00:25:14,000 Speaker 1: to have to do good uh and companies are going 438 00:25:14,040 --> 00:25:16,760 Speaker 1: to have to be aligned with their mission with their 439 00:25:16,760 --> 00:25:21,280 Speaker 1: communities at track their progress towards those goals, and report 440 00:25:21,440 --> 00:25:25,160 Speaker 1: the progress through overards those goals because there is more transparency. 441 00:25:25,280 --> 00:25:27,679 Speaker 1: So that makes me hopeful. You've got a lot of 442 00:25:27,680 --> 00:25:32,040 Speaker 1: cash to deploy given current market conditions, what trends are 443 00:25:32,119 --> 00:25:37,000 Speaker 1: you betting on for the next decade. Our overted theme 444 00:25:37,400 --> 00:25:41,040 Speaker 1: is automation for the real economy or problems having for 445 00:25:41,119 --> 00:25:47,960 Speaker 1: the nine things like real estate, logistics, food, retail, financial services, 446 00:25:47,960 --> 00:25:51,960 Speaker 1: and financial inclusion. Uh, those are things where we sit 447 00:25:52,040 --> 00:25:55,040 Speaker 1: today and we are like, wow, ten years from now, 448 00:25:55,400 --> 00:25:58,200 Speaker 1: there is going to be just so much more software 449 00:25:58,560 --> 00:26:02,080 Speaker 1: in things like making this supply chain more efficient or 450 00:26:02,200 --> 00:26:06,320 Speaker 1: making sure that financial inclusion is more widespread. So those 451 00:26:06,359 --> 00:26:09,680 Speaker 1: are the sectors where we're focused on UM and one 452 00:26:09,720 --> 00:26:12,280 Speaker 1: of the things we're seeing is done more and more 453 00:26:12,640 --> 00:26:17,800 Speaker 1: founders from underrepresented backgrounds are tackling those sectors because they 454 00:26:17,880 --> 00:26:23,119 Speaker 1: fell those problems first half. All right, Ariami Ago of 455 00:26:23,240 --> 00:26:26,200 Speaker 1: Base ten, thank you so much for joining us. M 456 00:26:26,440 --> 00:26:30,879 Speaker 1: appreciate your stepping By meantime, Apple CEO Tim Cook is 457 00:26:31,040 --> 00:26:34,280 Speaker 1: urging US lawmakers to move forward with a federal privacy law. 458 00:26:34,440 --> 00:26:38,320 Speaker 1: Cook pledge support the legislation in a letter to senators Friday, 459 00:26:38,320 --> 00:26:42,400 Speaker 1: a day after appearing on Capitol Hill and meeting with legislators. 460 00:26:42,400 --> 00:26:46,280 Speaker 1: He described these protections as a quote fundamental human rights 461 00:26:46,680 --> 00:26:50,240 Speaker 1: lawmakers relief draft privacy legislation earlier this month, marking the 462 00:26:50,280 --> 00:26:53,800 Speaker 1: first major sign of progress after a long standing law 463 00:26:54,240 --> 00:27:00,119 Speaker 1: in negotiations coming up another crypto meltdown. Why Celsius is 464 00:27:00,160 --> 00:27:04,320 Speaker 1: bringing crypto stocks down with it. All the details next 465 00:27:04,520 --> 00:27:20,200 Speaker 1: This is Bloomberg. It is time now for our crypto report. 466 00:27:20,240 --> 00:27:23,120 Speaker 1: And a month after the implosion of the terrorist stable coin, 467 00:27:23,480 --> 00:27:27,040 Speaker 1: another crisis is causing fresh trouble across the crypto universe. 468 00:27:27,359 --> 00:27:30,320 Speaker 1: Celsie's Network, one of the biggest lenders in crypto and 469 00:27:30,359 --> 00:27:33,160 Speaker 1: a key player in the world of DeFi, said late 470 00:27:33,200 --> 00:27:37,400 Speaker 1: Sunday it is pausing withdrawals, swaps and transfers. This after 471 00:27:37,520 --> 00:27:40,439 Speaker 1: weeks of speculation over its ability to make good on 472 00:27:40,560 --> 00:27:44,600 Speaker 1: its outsized returns. Our crypto contributortionale Boss is here with 473 00:27:44,720 --> 00:27:47,840 Speaker 1: more on this socianale. Did Celsius bring the crypto markets 474 00:27:47,880 --> 00:27:50,639 Speaker 1: down with it or vice versa. It's a very good question, 475 00:27:50,680 --> 00:27:53,560 Speaker 1: because you did see a lot of the drop in 476 00:27:53,640 --> 00:27:56,880 Speaker 1: the crypto markets happened between Sunday and Monday. Sunday night 477 00:27:56,960 --> 00:27:59,639 Speaker 1: is when you saw Celsius make this announcement that they 478 00:27:59,640 --> 00:28:02,639 Speaker 1: would be pausing withdrawals. There's a lot of concerns in 479 00:28:02,800 --> 00:28:05,560 Speaker 1: weeks up to this point, Emily that something like this 480 00:28:05,680 --> 00:28:09,159 Speaker 1: could happen, Worries about Celsius being able to make do 481 00:28:09,480 --> 00:28:12,320 Speaker 1: on yields of as much as seventeen percent. When it 482 00:28:12,400 --> 00:28:14,919 Speaker 1: comes to these lending products, and the question now is 483 00:28:14,920 --> 00:28:17,720 Speaker 1: is there a broader contagion. We saw the lunar mountdown 484 00:28:17,720 --> 00:28:20,840 Speaker 1: and now we're seeing a different product also hitting turmoil, 485 00:28:21,200 --> 00:28:23,520 Speaker 1: and what does that mean moving forward? You see Bitcoin 486 00:28:23,600 --> 00:28:28,040 Speaker 1: itself emily drop about fifteen percent in that time frame 487 00:28:28,080 --> 00:28:32,119 Speaker 1: between Sunday and to Monday, and over a seven day period. 488 00:28:32,200 --> 00:28:34,520 Speaker 1: So even though you saw a steady drop off in 489 00:28:34,560 --> 00:28:37,560 Speaker 1: Bitcoin over a seven day period, the bulk of it 490 00:28:37,600 --> 00:28:41,160 Speaker 1: really did become between yesterday and today. So how does 491 00:28:41,200 --> 00:28:44,600 Speaker 1: this impact the broader global crypto markets. It's a great 492 00:28:44,640 --> 00:28:47,120 Speaker 1: question because if you look at all of the top coins, 493 00:28:47,160 --> 00:28:50,200 Speaker 1: you are seeing a lot of selling there and is 494 00:28:50,200 --> 00:28:54,040 Speaker 1: that just deleveraging liquidations among individual investors, or is it, 495 00:28:54,080 --> 00:28:56,120 Speaker 1: on top of that, just worry about the space at 496 00:28:56,200 --> 00:28:59,160 Speaker 1: large given you're seeing another project hits so much turmoil. 497 00:28:59,480 --> 00:29:02,280 Speaker 1: The question now is you have Bitcoin coming down below 498 00:29:02,760 --> 00:29:07,120 Speaker 1: twenty three thousand dollars. You have etheroryum also dropping to 499 00:29:07,280 --> 00:29:11,080 Speaker 1: twenty three So is there going to be much more 500 00:29:11,120 --> 00:29:15,080 Speaker 1: pressure ahead as more investors digest what to make of 501 00:29:15,400 --> 00:29:18,959 Speaker 1: the Celsius withdrawal issue. Here we do tomorrow in our 502 00:29:19,000 --> 00:29:22,240 Speaker 1: Crypto show at one o'clock every Tuesday tomorrow. We do 503 00:29:22,320 --> 00:29:25,160 Speaker 1: have Mike Alfred of eagle Brook, who has been warning 504 00:29:25,200 --> 00:29:28,320 Speaker 1: about the Celsius issue for weeks now. So the question 505 00:29:28,400 --> 00:29:31,520 Speaker 1: is should people have seen this coming and is there 506 00:29:31,600 --> 00:29:34,560 Speaker 1: more trouble ahead? All right, Shaw, I hang on, I 507 00:29:34,560 --> 00:29:36,320 Speaker 1: want to dig into this deeper with our next guest, 508 00:29:36,360 --> 00:29:39,600 Speaker 1: Kindel Shaw, partner at Blockchain Capital. Kindel, thank you so 509 00:29:39,680 --> 00:29:42,320 Speaker 1: much for joining us. So how alarming to you is 510 00:29:42,360 --> 00:29:48,320 Speaker 1: this Celsius situation? Thanks for having me today. You know, 511 00:29:48,360 --> 00:29:53,080 Speaker 1: I think the Celsius situation is particularly extreme example where 512 00:29:53,360 --> 00:29:56,120 Speaker 1: you know, conflicts of factors have led to this moment. 513 00:29:56,680 --> 00:29:59,320 Speaker 1: There's certainly been a number of folks in the market 514 00:29:59,400 --> 00:30:02,400 Speaker 1: saying for for weeks now that this could be a possibility, 515 00:30:02,800 --> 00:30:05,800 Speaker 1: particularly given the use of client funds that you know, 516 00:30:05,800 --> 00:30:10,000 Speaker 1: Celsius has been suspected to be using in various DeFi protocols, 517 00:30:10,360 --> 00:30:13,400 Speaker 1: and so, you know, while this is particularly worrisome, you know, 518 00:30:13,440 --> 00:30:16,800 Speaker 1: I think this is also not entirely unexpected and certainly 519 00:30:17,000 --> 00:30:19,560 Speaker 1: is a um, you know, a risk that a lot 520 00:30:19,600 --> 00:30:22,920 Speaker 1: of folks in the market we're thinking about. Okay, but 521 00:30:23,240 --> 00:30:26,160 Speaker 1: there's something big rattling the market. I mean, getting down 522 00:30:26,200 --> 00:30:28,959 Speaker 1: to you know, twenty three thousand dollars for bitcoin, a 523 00:30:29,000 --> 00:30:32,880 Speaker 1: new eighteen months low. Do you see the you know, 524 00:30:33,160 --> 00:30:37,360 Speaker 1: is the bottom further out or or have we hit it? Yeah? 525 00:30:37,360 --> 00:30:39,880 Speaker 1: I mean it's always tough to to call of the bottom, 526 00:30:40,000 --> 00:30:42,800 Speaker 1: I think, and from my perspective, we are certainly nearing 527 00:30:42,840 --> 00:30:45,880 Speaker 1: the bottom. Um. It's difficult to say what exactly is 528 00:30:45,920 --> 00:30:48,320 Speaker 1: causing all of this, whether it's Celsius or whether it's 529 00:30:48,360 --> 00:30:52,200 Speaker 1: just the large, larger macro conditions that are really causing 530 00:30:52,240 --> 00:30:54,400 Speaker 1: a lot of um a lot of sell off over 531 00:30:54,440 --> 00:30:56,440 Speaker 1: the past few weeks. And you know, I think this 532 00:30:56,560 --> 00:30:59,880 Speaker 1: is a very risky asset class to begin with, and 533 00:31:00,000 --> 00:31:02,600 Speaker 1: and when you pair that with what's what's been happening globally, 534 00:31:02,760 --> 00:31:05,880 Speaker 1: certainly becomes challenging for for new investors. You know, you 535 00:31:05,920 --> 00:31:08,440 Speaker 1: look at Celsius in the relationship to Steake to Ether, 536 00:31:08,520 --> 00:31:12,400 Speaker 1: for example, and then the decoupling of steak Ether from 537 00:31:12,400 --> 00:31:15,360 Speaker 1: Ether itself. Kinjol, if you're looking at kind of maybe 538 00:31:15,400 --> 00:31:19,080 Speaker 1: the larger ramifications here, whether there's any contagion in the system, 539 00:31:19,160 --> 00:31:21,880 Speaker 1: given so many of these firms are interconnected to what 540 00:31:22,040 --> 00:31:26,760 Speaker 1: extent do you expect some contagion or more contagion? Yeah, 541 00:31:26,800 --> 00:31:29,440 Speaker 1: you know, I certainly think this is unfolding live, you 542 00:31:29,440 --> 00:31:34,000 Speaker 1: know as we speak. Uh, the ste particular situation I 543 00:31:34,000 --> 00:31:36,960 Speaker 1: think will continue to unfold over the coming weeks, and 544 00:31:37,400 --> 00:31:40,240 Speaker 1: you know, likely will have some impact on DeFi protocols, 545 00:31:40,320 --> 00:31:44,280 Speaker 1: largely as many pools of liquidit air holding SCA, so 546 00:31:44,320 --> 00:31:46,360 Speaker 1: we will likely continue to see a little bit more 547 00:31:46,360 --> 00:31:48,760 Speaker 1: of an impact here and as far as impacts go 548 00:31:48,920 --> 00:31:51,640 Speaker 1: to you know, is this going to take some steam 549 00:31:51,680 --> 00:31:55,720 Speaker 1: out of the DeFi space more largely especially because after 550 00:31:55,840 --> 00:31:59,080 Speaker 1: some of these implosions, after some of the ways that 551 00:31:59,320 --> 00:32:01,920 Speaker 1: retail and got are impacted by this, it could draw 552 00:32:01,960 --> 00:32:06,320 Speaker 1: some more regulatory attention. Yeah, it's a great question. I 553 00:32:06,360 --> 00:32:10,440 Speaker 1: think the regulatory concerns have been looming, you know, I 554 00:32:10,480 --> 00:32:13,120 Speaker 1: think DEFY has been sort of in the eyes of 555 00:32:13,200 --> 00:32:18,080 Speaker 1: regulators for some time now. Certainly this might speed things up. However, 556 00:32:18,640 --> 00:32:22,400 Speaker 1: long term, I think DEFIES really trying to spur financial innovation, 557 00:32:22,520 --> 00:32:25,440 Speaker 1: and a lot of our regulators are aware of this 558 00:32:25,520 --> 00:32:28,719 Speaker 1: and really responding um in a way that hopefully we 559 00:32:28,760 --> 00:32:32,080 Speaker 1: can continue to spur this this innovation. Kindel, we're just 560 00:32:32,120 --> 00:32:35,720 Speaker 1: getting some headlines across the terminal that this inflation data 561 00:32:35,800 --> 00:32:38,560 Speaker 1: that we got today this very hot reading is likely 562 00:32:38,600 --> 00:32:41,480 Speaker 1: to push the FED to consider a seventy five basis 563 00:32:41,560 --> 00:32:45,400 Speaker 1: point hike later this week. Either way, inflation isn't going 564 00:32:45,440 --> 00:32:48,920 Speaker 1: away anytime soon. Are you evolving your strategy at blockchain 565 00:32:49,000 --> 00:32:53,720 Speaker 1: Capital at all? And if so, how given a rapid 566 00:32:54,120 --> 00:32:58,840 Speaker 1: what seems to be devolution of market conditions. Yeah, I 567 00:32:58,840 --> 00:33:02,000 Speaker 1: mean a blockchain capital, we are still you know, very 568 00:33:02,120 --> 00:33:06,320 Speaker 1: much focused on the long term um thesis around digital 569 00:33:06,360 --> 00:33:09,680 Speaker 1: assets and blockchain technology, and so we continue to sort 570 00:33:09,720 --> 00:33:12,840 Speaker 1: of be um pushing along with that thesis and advising 571 00:33:12,840 --> 00:33:15,280 Speaker 1: our founders to to ensure that they're prepared for the 572 00:33:15,320 --> 00:33:19,360 Speaker 1: market ahead. Certainly, the macro conditions are unprecedented. Crypto has 573 00:33:19,400 --> 00:33:23,240 Speaker 1: not really existed with this sort of macro backdrop, and 574 00:33:23,280 --> 00:33:26,520 Speaker 1: so we are, um, you know, moving forward with a 575 00:33:26,520 --> 00:33:29,240 Speaker 1: little bit of wary, but we are certainly excited about 576 00:33:29,280 --> 00:33:32,000 Speaker 1: the future ahead and continuing to think about the long term. 577 00:33:32,400 --> 00:33:36,040 Speaker 1: Do you think that in the new macro environment, bitcoin 578 00:33:36,120 --> 00:33:40,479 Speaker 1: then changes its meaning relative to to how we're seeing 579 00:33:40,880 --> 00:33:44,720 Speaker 1: central banks really play out across the world, and inflation 580 00:33:45,160 --> 00:33:51,520 Speaker 1: you know, still remain hot, but bitcoin going lower? Yeah, 581 00:33:51,560 --> 00:33:55,360 Speaker 1: you know, I think as bitcoin has increasingly become a 582 00:33:55,440 --> 00:33:59,040 Speaker 1: more and more popular name among financial markets. More broadly, 583 00:33:59,440 --> 00:34:02,160 Speaker 1: the asset has certainly seen an influx of investors that 584 00:34:02,200 --> 00:34:05,080 Speaker 1: are um more diverse, I would say, than historically. So 585 00:34:05,080 --> 00:34:08,279 Speaker 1: I think we'll continue to see some um a little 586 00:34:08,320 --> 00:34:12,240 Speaker 1: bit of interplay between tech and you know, more broadly 587 00:34:12,280 --> 00:34:15,239 Speaker 1: in bitcoin. However, I still think the inflation and store 588 00:34:15,400 --> 00:34:19,680 Speaker 1: value thesis has yet to fully play out here. All right, 589 00:34:19,760 --> 00:34:22,920 Speaker 1: Kenngel saw partner app Blockchain Capital Lots to continue to 590 00:34:23,000 --> 00:34:35,320 Speaker 1: digest along with our own Shinnali BOSSI thank you both well. 591 00:34:35,360 --> 00:34:39,200 Speaker 1: Elon Musk is warning of a rough economic road ahead 592 00:34:39,440 --> 00:34:43,040 Speaker 1: for Tesla. In an email sent over the weekend, Musk 593 00:34:43,920 --> 00:34:47,560 Speaker 1: essentially issued a rallying cry to employees to bounce back 594 00:34:47,560 --> 00:34:50,120 Speaker 1: for more. I'm joined by our Ed Ludlow, who reported 595 00:34:50,120 --> 00:34:53,400 Speaker 1: this story for US. So, Ed, you know, first of all, 596 00:34:53,400 --> 00:34:55,960 Speaker 1: we got a big internal memo mus last week. Not 597 00:34:56,040 --> 00:34:58,160 Speaker 1: it's it's it's internal, not to us, right, it's the 598 00:34:58,280 --> 00:35:01,680 Speaker 1: last one that we have. Another memo from Elon mask 599 00:35:01,719 --> 00:35:04,040 Speaker 1: What did he have to say? This is classic end 600 00:35:04,080 --> 00:35:06,160 Speaker 1: of the course of stuff. So you know, we're in 601 00:35:06,200 --> 00:35:08,520 Speaker 1: the beginning of June. Teslas quarter ends at the end 602 00:35:08,520 --> 00:35:11,920 Speaker 1: of this month, and the idea is that he's pushing 603 00:35:11,960 --> 00:35:14,680 Speaker 1: the staff. You know, it's a rallying cry. He pointed 604 00:35:14,719 --> 00:35:16,799 Speaker 1: out that this was the course. Who remember three weeks 605 00:35:16,800 --> 00:35:19,040 Speaker 1: of shutdown in Shanghai at the beginning of April. They 606 00:35:19,080 --> 00:35:21,560 Speaker 1: had to go to extraordinary measures to keep that plant going. 607 00:35:21,840 --> 00:35:24,359 Speaker 1: They rebounded in May, really good numbers for May out 608 00:35:24,360 --> 00:35:26,800 Speaker 1: of China, and he was saying, this is the final person. 609 00:35:26,840 --> 00:35:30,840 Speaker 1: There was a second email a day later where he said, realize, 610 00:35:30,880 --> 00:35:34,200 Speaker 1: what you guys are doing means something. It's impactful. Go 611 00:35:34,400 --> 00:35:36,520 Speaker 1: for it, and I don't care what all street things. 612 00:35:36,560 --> 00:35:38,680 Speaker 1: So he's sending a lot of emails and tweets, that's 613 00:35:38,719 --> 00:35:41,400 Speaker 1: for sure. How does this tie into the I have 614 00:35:41,400 --> 00:35:44,520 Speaker 1: a super bad feeling about the economy. You know, remote 615 00:35:44,520 --> 00:35:47,759 Speaker 1: work is essentially over. It's interesting because it's kind of 616 00:35:47,800 --> 00:35:50,600 Speaker 1: start contrast to the last set of emails where he said, 617 00:35:51,040 --> 00:35:53,640 Speaker 1: according to sources as well, that he would lay off 618 00:35:53,640 --> 00:35:55,839 Speaker 1: ten percent of salaried workers because he had a super 619 00:35:55,880 --> 00:35:58,719 Speaker 1: bad feeling about the economy. He did clarify that those 620 00:35:58,760 --> 00:36:02,360 Speaker 1: that are actually building stuff, the cars, the battery packs, 621 00:36:02,440 --> 00:36:04,880 Speaker 1: but that's not the target of layoffs. And you know 622 00:36:04,880 --> 00:36:07,320 Speaker 1: it was only in October of last year October November 623 00:36:07,360 --> 00:36:10,040 Speaker 1: where Tesla was talking about being over a hundred thousand 624 00:36:10,080 --> 00:36:12,360 Speaker 1: employees globally and it's being a real point of pride. 625 00:36:12,440 --> 00:36:15,200 Speaker 1: But the world's a very different place this week, all 626 00:36:15,280 --> 00:36:18,080 Speaker 1: right different. Indeed, we just had these headlines cross about 627 00:36:18,080 --> 00:36:21,839 Speaker 1: the third potentially considering yes, seventy five basis point rate 628 00:36:21,960 --> 00:36:25,239 Speaker 1: hike on the back of this bad inflation data. What 629 00:36:25,320 --> 00:36:27,759 Speaker 1: do we now? So think back to the last FED 630 00:36:27,800 --> 00:36:31,520 Speaker 1: beating and Jerome powered Federals FARF chair said that fifty 631 00:36:31,560 --> 00:36:33,920 Speaker 1: basis point heights for June and July was what they 632 00:36:33,960 --> 00:36:36,400 Speaker 1: were thinking about. Seventy five basis point heights weren't on 633 00:36:36,440 --> 00:36:39,640 Speaker 1: the table. We got the inflation data Friday where inflation 634 00:36:39,840 --> 00:36:43,240 Speaker 1: came in one percent growth in an inflation month or month, 635 00:36:43,280 --> 00:36:45,640 Speaker 1: hotter than expected eight point six percent year in year, 636 00:36:45,840 --> 00:36:48,879 Speaker 1: and the market just changed psychology. You know that there 637 00:36:49,000 --> 00:36:51,000 Speaker 1: is no way that faith can deal with this with 638 00:36:51,080 --> 00:36:54,279 Speaker 1: its current stance. So the markets pricing in seventy five 639 00:36:54,320 --> 00:36:57,120 Speaker 1: basis point hike this week. You know, there was a 640 00:36:57,120 --> 00:36:59,040 Speaker 1: Wall Street General report that kind of first put that 641 00:36:59,080 --> 00:37:01,319 Speaker 1: out there. Now you ever, series of banks like JP 642 00:37:01,440 --> 00:37:04,319 Speaker 1: Morgan coming in saying yep, we can see seventy five 643 00:37:04,360 --> 00:37:06,440 Speaker 1: basis points this week, even going as far as to 644 00:37:06,440 --> 00:37:09,360 Speaker 1: say a hundred basis points could be a possibility this week. 645 00:37:09,520 --> 00:37:12,800 Speaker 1: So our outlook is harder, faster, more aggressive hikes. Or 646 00:37:12,840 --> 00:37:15,439 Speaker 1: if you're a tech investor, you worry about that. So 647 00:37:15,800 --> 00:37:17,480 Speaker 1: what do you do if you're a tech investor? Mark 648 00:37:17,560 --> 00:37:20,279 Speaker 1: Mheney earlier said, there's really nowhere to hide. Nowhere we 649 00:37:20,360 --> 00:37:22,040 Speaker 1: look at the biggest points moves on an as that 650 00:37:22,120 --> 00:37:24,799 Speaker 1: one hundred on Monday. It's the likes of Apple, the 651 00:37:24,880 --> 00:37:28,240 Speaker 1: likes of Nvidia. You know, when we talk about higher rates, 652 00:37:28,320 --> 00:37:32,080 Speaker 1: we talk about higher rates discounting the present value of 653 00:37:32,080 --> 00:37:35,280 Speaker 1: future profits. But it's usually kind of pre revenue stretch 654 00:37:35,360 --> 00:37:37,760 Speaker 1: valuation companies. That applies to even some of the creme 655 00:37:37,800 --> 00:37:40,680 Speaker 1: de la creme of names like Apples feeling the pain. 656 00:37:41,680 --> 00:37:44,600 Speaker 1: There is nowhere to hide. And the other side of 657 00:37:44,600 --> 00:37:47,400 Speaker 1: this is recession fear. Right the Fed can it tackle 658 00:37:47,480 --> 00:37:50,840 Speaker 1: inflation without causing a recession? The skepticism from the market 659 00:37:50,840 --> 00:37:53,520 Speaker 1: that they can. Recessions aren't good for anyone. He did 660 00:37:53,600 --> 00:37:57,600 Speaker 1: say Amazon long term still a good play, and Meta 661 00:37:57,760 --> 00:38:00,319 Speaker 1: long term better than Google. That's what he say, right. 662 00:38:00,400 --> 00:38:04,920 Speaker 1: Cathy Wood says, despite being seven down today on all 663 00:38:04,960 --> 00:38:07,840 Speaker 1: innovation that in the long run, all those innovation names 664 00:38:07,920 --> 00:38:11,319 Speaker 1: will be winners. Sorry, all right, well, time will tell 665 00:38:11,480 --> 00:38:16,120 Speaker 1: at LA thank you for that update. All right to 666 00:38:16,280 --> 00:38:20,280 Speaker 1: the box office. Top Gun, Maverick has finally lost its crown. 667 00:38:20,360 --> 00:38:23,359 Speaker 1: Jurassic World dominion. The six film in the franchise about 668 00:38:23,400 --> 00:38:26,640 Speaker 1: dinosaurs that escape from an amusement park, fought off week 669 00:38:26,680 --> 00:38:30,520 Speaker 1: reviews to lead the North American box office toppling Top Gun. 670 00:38:30,840 --> 00:38:33,400 Speaker 1: Jurassic World made a hundred forty three million dollars in 671 00:38:33,440 --> 00:38:36,879 Speaker 1: its domestic weekend opening, according to com Score, and more 672 00:38:36,880 --> 00:38:41,239 Speaker 1: than three d eighty million worldwide. And that does it 673 00:38:41,360 --> 00:38:44,040 Speaker 1: for the sedition of Bloomberg Technology. We're going to continue 674 00:38:44,080 --> 00:38:47,360 Speaker 1: to watch this market meltdown across all of our Bloomberg platforms. 675 00:38:47,360 --> 00:38:50,280 Speaker 1: We are back tomorrow with a number of big guests, 676 00:38:50,280 --> 00:38:54,839 Speaker 1: including Cisco CEO Chuck Robbins and Rent the Runways. Jen 677 00:38:54,960 --> 00:38:57,760 Speaker 1: Himen will have to ask them both about the market meltdown, 678 00:38:57,840 --> 00:39:01,120 Speaker 1: what it means for consumers and enterprises. And of course 679 00:39:01,160 --> 00:39:02,960 Speaker 1: don't forget to check out our podcast. You can find 680 00:39:03,040 --> 00:39:06,280 Speaker 1: it anywhere you get your podcast for all our news 681 00:39:06,280 --> 00:39:08,879 Speaker 1: on the day, I'm Emily changing in San Francisco. This 682 00:39:09,120 --> 00:39:09,759 Speaker 1: is Bloomberg