1 00:00:02,279 --> 00:00:05,640 Speaker 1: From the heart of where innovation, money and power collive 2 00:00:06,400 --> 00:00:10,960 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:11,000 --> 00:00:26,799 Speaker 1: Emily jay I rememerly Chang in San Francisco, and this 4 00:00:26,840 --> 00:00:29,440 Speaker 1: is Bloomberg Technology coming up in the next hour. Well, 5 00:00:29,840 --> 00:00:31,960 Speaker 1: it could have been worse. That's what analysts are saying 6 00:00:31,960 --> 00:00:36,840 Speaker 1: about Netflix results. Shares jumping in late trade despite losing 7 00:00:36,880 --> 00:00:41,440 Speaker 1: almost a million subscribers could add solve the company's problems. 8 00:00:41,960 --> 00:00:46,320 Speaker 1: We will discuss plus Twitter wins for now. A judge 9 00:00:46,320 --> 00:00:49,479 Speaker 1: grants the company's request to fast track its lawsuit against 10 00:00:49,479 --> 00:00:53,400 Speaker 1: Elon Musk. The trial now scheduled to start in October. 11 00:00:53,760 --> 00:00:57,080 Speaker 1: We'll explore this particular judges record and what it tells 12 00:00:57,160 --> 00:01:01,160 Speaker 1: us about which side has a better shot. And as 13 00:01:01,160 --> 00:01:04,959 Speaker 1: a major crypto lender and hedge fund collapse, is regulation 14 00:01:05,280 --> 00:01:07,920 Speaker 1: the answer? The head of US policy of coin Based 15 00:01:08,000 --> 00:01:10,720 Speaker 1: joins us to talk about the way out of the 16 00:01:10,760 --> 00:01:14,040 Speaker 1: ashes of the crypto crash. Let's stay with Netflix now, 17 00:01:14,040 --> 00:01:17,039 Speaker 1: I'm bringing down morgantin, your portfolio manager at sent Novis Trust. 18 00:01:17,080 --> 00:01:20,320 Speaker 1: So Dan, explain this to me. Why are shares up 19 00:01:20,360 --> 00:01:25,080 Speaker 1: if they've still lost almost a million subscribers. Well, it's 20 00:01:25,120 --> 00:01:27,080 Speaker 1: kind of a confusing report, Emily, isn't it. I mean, 21 00:01:27,080 --> 00:01:28,920 Speaker 1: if you think about it, it's kind of a sigh 22 00:01:28,959 --> 00:01:31,520 Speaker 1: of relief, I think by a lot of people coming 23 00:01:31,560 --> 00:01:35,720 Speaker 1: to the numbers. I mean, obviously, the projections going into 24 00:01:35,800 --> 00:01:39,000 Speaker 1: the third quarter below expectations. In terms of number of 25 00:01:39,000 --> 00:01:41,520 Speaker 1: new subscribers. They're saying they're going to add a million. 26 00:01:41,600 --> 00:01:44,160 Speaker 1: The street was looking for one point eight million. They 27 00:01:44,160 --> 00:01:48,080 Speaker 1: did lose less, right than expected in the second quarter. 28 00:01:48,120 --> 00:01:50,000 Speaker 1: I think there were a lot of estimates. Some people 29 00:01:50,000 --> 00:01:52,080 Speaker 1: are saying as many as two million. They came in 30 00:01:52,160 --> 00:01:55,760 Speaker 1: losing seventy thousand. The other thing that's kind of confusing 31 00:01:55,800 --> 00:01:58,200 Speaker 1: to Emily is that if you look at their guidance 32 00:01:58,240 --> 00:02:01,360 Speaker 1: going into revenues and earnings for the third quarter, they 33 00:02:01,360 --> 00:02:04,000 Speaker 1: are also below consensus, and yet the stock was up. 34 00:02:04,040 --> 00:02:06,000 Speaker 1: And the only thing I can think of, Emily, is 35 00:02:06,040 --> 00:02:09,000 Speaker 1: that they're kind of addressing a lot of their issues, right. 36 00:02:09,040 --> 00:02:12,080 Speaker 1: They talked in their shareholder letter about how they're going 37 00:02:12,120 --> 00:02:15,080 Speaker 1: to address the issues with all these people a hundred 38 00:02:15,120 --> 00:02:17,320 Speaker 1: million people you know that are using the service for 39 00:02:17,400 --> 00:02:20,160 Speaker 1: free um and they talked a little bit about free 40 00:02:20,160 --> 00:02:23,120 Speaker 1: cash flow and various other things. So I think maybe 41 00:02:23,160 --> 00:02:25,880 Speaker 1: people are just saying they're addressing their issues. It was 42 00:02:25,960 --> 00:02:28,400 Speaker 1: as worse as we thought, and hopefully things will get 43 00:02:28,440 --> 00:02:29,799 Speaker 1: better in the future. And that's how we have to 44 00:02:29,880 --> 00:02:32,920 Speaker 1: leave it because the stock is up. Let's talk about 45 00:02:32,919 --> 00:02:36,080 Speaker 1: this crackdown on password sharing, because let's be honest, Netflix 46 00:02:36,080 --> 00:02:38,680 Speaker 1: has been giving Netflix away for free for a while 47 00:02:38,760 --> 00:02:41,560 Speaker 1: to a lot of people who just haven't paid up. 48 00:02:41,760 --> 00:02:43,919 Speaker 1: If they cracked down on the passports, how big an 49 00:02:43,960 --> 00:02:46,080 Speaker 1: impact do you think that will actually have in getting 50 00:02:46,120 --> 00:02:49,960 Speaker 1: some of those people to pay up. Well's teteresting him 51 00:02:49,960 --> 00:02:51,959 Speaker 1: because in the shareholder letter they mentioned they're going to 52 00:02:52,080 --> 00:02:55,079 Speaker 1: test two approaches in Latin America and they're going to 53 00:02:55,200 --> 00:02:57,720 Speaker 1: charge to nine a month, and they're going to try 54 00:02:57,760 --> 00:03:00,160 Speaker 1: to work something to try to to get these able 55 00:03:00,200 --> 00:03:02,040 Speaker 1: to start pain. So I'm kind of curious to learn 56 00:03:02,080 --> 00:03:04,679 Speaker 1: a little bit more about that. That seems pretty low 57 00:03:04,760 --> 00:03:07,440 Speaker 1: to me, right tone a month. I pay close to 58 00:03:07,480 --> 00:03:10,200 Speaker 1: twenty dollars a month for my Netflix subscription here in 59 00:03:10,240 --> 00:03:12,359 Speaker 1: the United States. But so it's gonna be kind of 60 00:03:12,400 --> 00:03:14,359 Speaker 1: interesting to see how they roll that out and put 61 00:03:14,400 --> 00:03:17,680 Speaker 1: that together and and try to monetize these people and 62 00:03:17,760 --> 00:03:19,760 Speaker 1: bring them in. How So, I think we need to 63 00:03:19,800 --> 00:03:21,440 Speaker 1: just learn a little bit more about how they're going 64 00:03:21,480 --> 00:03:24,239 Speaker 1: to do it. But that's a huge number, a hundred million, 65 00:03:25,360 --> 00:03:31,120 Speaker 1: So advertising be the answer to Netflix's problems, you know, Emily, 66 00:03:31,160 --> 00:03:34,160 Speaker 1: it's kind of interesting because I'm curious to see how 67 00:03:34,160 --> 00:03:36,320 Speaker 1: that's going to play out. Right, they signed the agreement 68 00:03:36,320 --> 00:03:39,040 Speaker 1: with Microsoft to help them last week. On that. I'm 69 00:03:39,080 --> 00:03:40,760 Speaker 1: just wondering. And I could ask you, because you're a 70 00:03:40,760 --> 00:03:42,880 Speaker 1: big user Netflix, if they got to the point where 71 00:03:42,920 --> 00:03:47,000 Speaker 1: they're offering an add you know, streaming service and there's 72 00:03:47,000 --> 00:03:50,120 Speaker 1: not that many ads, maybe it's every fifteen minutes, which 73 00:03:50,120 --> 00:03:52,200 Speaker 1: is you'd be willing to maybe just say, hey, I'm 74 00:03:52,240 --> 00:03:54,240 Speaker 1: not going to pay the fifteen twenty dollars a month 75 00:03:54,480 --> 00:03:57,640 Speaker 1: and just go straight for the free ad streaming service. 76 00:03:57,880 --> 00:04:01,000 Speaker 1: So that's interesting. And then the other thing component is 77 00:04:01,040 --> 00:04:03,560 Speaker 1: they have two or twenty million people using their system 78 00:04:03,640 --> 00:04:06,000 Speaker 1: right now. How many people do they add to this 79 00:04:06,040 --> 00:04:09,240 Speaker 1: new ad streaming service and do they start competing against 80 00:04:09,240 --> 00:04:11,760 Speaker 1: the like so let's say a Facebook or Google in 81 00:04:11,880 --> 00:04:15,520 Speaker 1: terms of garnering all this revenue through advertising. So I 82 00:04:15,560 --> 00:04:17,160 Speaker 1: don't know how that's going to come together for them. 83 00:04:17,160 --> 00:04:19,800 Speaker 1: They're gonna let us know more and they're introducing some 84 00:04:19,839 --> 00:04:22,200 Speaker 1: new services, I guess in two thousand twenty three, So 85 00:04:22,600 --> 00:04:24,359 Speaker 1: it's going to be interesting to see what happens with 86 00:04:24,400 --> 00:04:28,880 Speaker 1: this new ad streaming Netflix right. Time is precious, and 87 00:04:28,920 --> 00:04:30,320 Speaker 1: so is money down. I mean, I think i'd have 88 00:04:30,360 --> 00:04:32,600 Speaker 1: to look at the numbers and also the ad experience. 89 00:04:32,640 --> 00:04:34,840 Speaker 1: You know, what kind of ads are these? How long 90 00:04:34,880 --> 00:04:37,479 Speaker 1: am I watching them? Are they pleasing? Are they really 91 00:04:38,120 --> 00:04:41,600 Speaker 1: tailored to me? The thing is, and and this point 92 00:04:41,640 --> 00:04:44,280 Speaker 1: has been made. You know, the companies that are brought 93 00:04:44,360 --> 00:04:49,960 Speaker 1: up as competitors Disney Plus, m Hulu, Amazon, HBO. Disney 94 00:04:49,960 --> 00:04:54,560 Speaker 1: Plus isn't necessarily a substitute for Netflix, is it? What 95 00:04:54,680 --> 00:04:57,000 Speaker 1: Dosney Plus is interesting because they have about a hundred 96 00:04:57,040 --> 00:05:01,679 Speaker 1: million subscribers, are the largest competitor next to Netflix. They're 97 00:05:01,720 --> 00:05:06,040 Speaker 1: targeting about two hundred and forty million subscribers by two 98 00:05:06,120 --> 00:05:08,680 Speaker 1: thousand twenty four, which seems like a really big number 99 00:05:08,760 --> 00:05:11,560 Speaker 1: for them. But I think you're right, Emily, Disney Plus 100 00:05:11,640 --> 00:05:13,800 Speaker 1: seems a little bit more different in terms of their 101 00:05:13,880 --> 00:05:16,719 Speaker 1: content than what we find on Netflix. You were talking 102 00:05:16,760 --> 00:05:20,560 Speaker 1: earlier about the various uh, you know, series that they 103 00:05:20,560 --> 00:05:22,919 Speaker 1: have and how people get hooked on them. A little 104 00:05:22,920 --> 00:05:25,320 Speaker 1: bit of a different component as Disney has that huge 105 00:05:25,760 --> 00:05:28,560 Speaker 1: library of movies and content through all the years of 106 00:05:28,600 --> 00:05:31,240 Speaker 1: Disney production, so it is a little bit different. But 107 00:05:31,320 --> 00:05:33,400 Speaker 1: there's no doubt that Disney in terms of number of 108 00:05:33,400 --> 00:05:37,400 Speaker 1: subscribers is the closest in terms of Netflix in terms 109 00:05:37,440 --> 00:05:39,800 Speaker 1: of their having the you know, hundred million, which is 110 00:05:39,800 --> 00:05:42,120 Speaker 1: pretty close to two or twenty million. The rest of 111 00:05:42,160 --> 00:05:46,000 Speaker 1: the other players have much less subscribers. So here's the 112 00:05:46,000 --> 00:05:49,960 Speaker 1: other thing. Is the return on content space spending, paying 113 00:05:50,000 --> 00:05:54,360 Speaker 1: off or dropping off. If Stranger Things is costing reportedly 114 00:05:54,480 --> 00:06:00,560 Speaker 1: thirty million dollars an episode, is that worth it? Yeah? 115 00:06:00,600 --> 00:06:04,400 Speaker 1: It's interesting, Emily. You look at their content expense projection 116 00:06:04,480 --> 00:06:07,880 Speaker 1: for this year, it's about seventeen point nine billion, which 117 00:06:07,920 --> 00:06:10,680 Speaker 1: is pretty much in line with they projected last year, 118 00:06:10,720 --> 00:06:13,680 Speaker 1: which is around seventeen billions. So it seems to me 119 00:06:13,760 --> 00:06:16,600 Speaker 1: like Netflix is getting a little more cautious in regards 120 00:06:16,640 --> 00:06:19,479 Speaker 1: to this attitude We're just going to spend tons of money, 121 00:06:19,800 --> 00:06:22,120 Speaker 1: create tons of content, and we're going to get the 122 00:06:22,160 --> 00:06:24,400 Speaker 1: subscribers and we'll be able to pay for it. Seems 123 00:06:24,400 --> 00:06:26,840 Speaker 1: like they're starting to pull back a little bit in 124 00:06:26,880 --> 00:06:30,560 Speaker 1: regards to their content budgets. And expectations. It's starting to 125 00:06:30,600 --> 00:06:33,120 Speaker 1: be a little bit more careful on margins and so forth. 126 00:06:33,480 --> 00:06:35,599 Speaker 1: So you bring up a good point, where do you 127 00:06:35,640 --> 00:06:37,960 Speaker 1: just keep spending and spending and spending if you're not 128 00:06:38,000 --> 00:06:41,080 Speaker 1: getting the subscriber growth because your subscriber growth is negative. 129 00:06:41,520 --> 00:06:43,840 Speaker 1: Doesn't make sense to keep spending more and more money 130 00:06:43,880 --> 00:06:45,560 Speaker 1: on content. You need to bring it back in a 131 00:06:45,640 --> 00:06:48,479 Speaker 1: little bit and kind of refocus, and it appears that 132 00:06:48,520 --> 00:06:50,960 Speaker 1: they're starting to do that instead of this growth at 133 00:06:51,000 --> 00:06:52,760 Speaker 1: all cost model, which is what they were doing in 134 00:06:52,760 --> 00:06:55,039 Speaker 1: the past. All right, well, we're going to continue to 135 00:06:55,320 --> 00:06:58,200 Speaker 1: digest these Netflix results to have a bit more later 136 00:06:58,200 --> 00:07:00,440 Speaker 1: in the show, Dan Always get to have you here, 137 00:07:00,600 --> 00:07:05,480 Speaker 1: Dan Morgan, Novist Trust. All right, coming up, Twitter gets 138 00:07:05,480 --> 00:07:08,240 Speaker 1: the green light to take Elon Musk to court and fast. 139 00:07:08,360 --> 00:07:10,680 Speaker 1: We will talk about what's next in Twitter v. Musk 140 00:07:10,760 --> 00:07:15,560 Speaker 1: with a Columbia law professor and our very own Kurt Wagner, Mr. 141 00:07:15,600 --> 00:07:28,160 Speaker 1: Is Bloomberg. Round one goes to Twitter. The company was 142 00:07:28,200 --> 00:07:31,200 Speaker 1: granted its request a fast track its lawsuit against Elon 143 00:07:31,320 --> 00:07:34,040 Speaker 1: Musk as he attempts to walk away from the fort 144 00:07:34,200 --> 00:07:37,760 Speaker 1: four billion dollar deal. Delaware Judge Kathleen McCormick set a 145 00:07:37,840 --> 00:07:41,720 Speaker 1: five day trial to start in October. For more, we're 146 00:07:41,800 --> 00:07:44,880 Speaker 1: joined by Eric Talley, Columbia Law School professor and faculty 147 00:07:45,000 --> 00:07:47,760 Speaker 1: co director of its Millstein Center, along with our very 148 00:07:47,760 --> 00:07:50,320 Speaker 1: own Kurt Wagner, who of course covers Twitter for us. 149 00:07:50,360 --> 00:07:52,760 Speaker 1: So what actually happened in court today? And by in 150 00:07:52,880 --> 00:07:56,360 Speaker 1: court I mean virtual corp? The judge actually has COVID, 151 00:07:56,680 --> 00:07:59,200 Speaker 1: Yes she does, so, I was listening on the dial 152 00:07:59,280 --> 00:08:02,160 Speaker 1: in the public die Island, actually, which felt very interesting 153 00:08:02,280 --> 00:08:04,880 Speaker 1: to listen to arguments that way. But both sides kind 154 00:08:04,880 --> 00:08:08,080 Speaker 1: of presented their case. Obviously they had already submitted written, um, 155 00:08:08,120 --> 00:08:10,120 Speaker 1: you know, elements to this. The judge took a little 156 00:08:10,120 --> 00:08:11,800 Speaker 1: bit of time to review and think about things and 157 00:08:11,800 --> 00:08:15,160 Speaker 1: then and issued a pretty quick verdict. You know, she said, 158 00:08:15,160 --> 00:08:18,120 Speaker 1: based on the evidence, based on the arguments that had 159 00:08:18,160 --> 00:08:20,320 Speaker 1: been made, I feel that it makes sense to speed 160 00:08:20,360 --> 00:08:22,520 Speaker 1: this up. Not quite as fast as Twitter wanted. They 161 00:08:22,520 --> 00:08:25,000 Speaker 1: were hoping to do a trial in September, but she 162 00:08:25,080 --> 00:08:27,640 Speaker 1: still thought that, you know, the longer this thing drags out, 163 00:08:27,720 --> 00:08:30,280 Speaker 1: the more chance there is for damage to Twitter's business 164 00:08:30,280 --> 00:08:32,360 Speaker 1: and brand. And as a result, she said, we should 165 00:08:32,400 --> 00:08:34,480 Speaker 1: do this in October. Versus the Musk team wanted to 166 00:08:34,520 --> 00:08:36,920 Speaker 1: wait all the way till February. Now, Professor Tally, you 167 00:08:36,960 --> 00:08:42,760 Speaker 1: actually know the judge here and know her record well. 168 00:08:43,000 --> 00:08:47,079 Speaker 1: I understand she's a seller friendly judge, or at least 169 00:08:47,120 --> 00:08:50,200 Speaker 1: has made seller friendly decisions in the past. What can 170 00:08:50,240 --> 00:08:53,800 Speaker 1: you tell us about her? Yeah, I think she's largely 171 00:08:53,880 --> 00:08:56,360 Speaker 1: right down the middle in terms of her predilections. But 172 00:08:56,600 --> 00:08:59,280 Speaker 1: she's very good. She works harder than just about any 173 00:08:59,320 --> 00:09:02,480 Speaker 1: judge I've ever met, and it's extremely smart. Now, the 174 00:09:02,720 --> 00:09:06,360 Speaker 1: thing to remember is that the Delaware courts have seen 175 00:09:06,400 --> 00:09:08,920 Speaker 1: a fair number of these cases in which buyers get 176 00:09:08,960 --> 00:09:11,120 Speaker 1: cold feet and try to walk away, whether it's because 177 00:09:11,160 --> 00:09:14,120 Speaker 1: of COVID the financial crisis. So in many ways, this 178 00:09:14,200 --> 00:09:17,400 Speaker 1: is the most recent chapter. And Chancellor McCormick actually had 179 00:09:17,440 --> 00:09:20,840 Speaker 1: one of these cases that came up during COVID about 180 00:09:20,880 --> 00:09:23,400 Speaker 1: a year ago, and she did hold for the seller. 181 00:09:23,480 --> 00:09:25,920 Speaker 1: Basically told the buyer, you know what, You're gonna be 182 00:09:25,960 --> 00:09:29,320 Speaker 1: required to go forward with this transaction by the company 183 00:09:29,360 --> 00:09:31,400 Speaker 1: that you're now trying to walk away from. And I 184 00:09:31,400 --> 00:09:34,400 Speaker 1: don't even care that your financing has fallen through because 185 00:09:34,559 --> 00:09:37,400 Speaker 1: you sort of made that happen. You sort of engineered 186 00:09:37,480 --> 00:09:41,079 Speaker 1: or sabotage your own deal. So during the argument today, 187 00:09:41,120 --> 00:09:45,120 Speaker 1: there's a lot of argument from Twitter's lawyers about whether 188 00:09:45,160 --> 00:09:49,120 Speaker 1: Elon Musk had similarly been trying to sabotage the deal. 189 00:09:49,200 --> 00:09:51,760 Speaker 1: Now we haven't gotten to any of those matters yet. 190 00:09:51,800 --> 00:09:55,160 Speaker 1: The key question is whether this deal, this this litigation 191 00:09:55,240 --> 00:09:57,720 Speaker 1: was gonna get fast tracked or put on the slow track. 192 00:09:57,800 --> 00:10:00,360 Speaker 1: And we're definitely on the fast track. While Twitter lawyers 193 00:10:00,360 --> 00:10:03,280 Speaker 1: didn't get exactly what they were hoping for, they ended 194 00:10:03,360 --> 00:10:05,640 Speaker 1: up missing it by only about a couple of weeks, 195 00:10:05,640 --> 00:10:07,640 Speaker 1: and she pushed what they had hoped to be a 196 00:10:07,679 --> 00:10:11,920 Speaker 1: September trial into October. So largely one would chalk this 197 00:10:12,040 --> 00:10:14,920 Speaker 1: up to a victory, at least as of today, to Twitter. 198 00:10:15,679 --> 00:10:17,480 Speaker 1: So the question is how big a victory. I mean, 199 00:10:17,480 --> 00:10:21,040 Speaker 1: you talk about precedent here, but was that other case 200 00:10:21,080 --> 00:10:24,160 Speaker 1: of forty four billion dollar deal, and did it involve 201 00:10:24,320 --> 00:10:28,840 Speaker 1: taking on Elon Musk Unless there are cake decorating companies 202 00:10:28,880 --> 00:10:32,520 Speaker 1: that are worth forty four billion dollars, No, it wasn't. 203 00:10:32,559 --> 00:10:34,800 Speaker 1: This was a small deal. It wasn't even a publicly 204 00:10:34,840 --> 00:10:37,600 Speaker 1: traded company. And so there is a kind of an 205 00:10:37,640 --> 00:10:40,959 Speaker 1: interesting question about whether when the stakes get ratcheted up 206 00:10:41,000 --> 00:10:44,800 Speaker 1: like this, Chancellor McCormick is similarly going to be unsympathetic 207 00:10:45,280 --> 00:10:49,040 Speaker 1: towards a buyer that wants to walk away. However, Uh, 208 00:10:49,120 --> 00:10:51,640 Speaker 1: this particular deal, and everyone knew this because it was 209 00:10:51,679 --> 00:10:54,160 Speaker 1: out there in the public domain. Uh, you know, Elon 210 00:10:54,240 --> 00:10:57,240 Speaker 1: Musk went after Twitter. They were a reluctant seller. They 211 00:10:57,280 --> 00:10:59,440 Speaker 1: finally signed up the deal when he said, hey, I'll 212 00:10:59,440 --> 00:11:01,800 Speaker 1: make this a really sell her friendly deal. I won't 213 00:11:01,800 --> 00:11:04,920 Speaker 1: do any diligence on a bunch of these technical aspects. 214 00:11:05,120 --> 00:11:07,880 Speaker 1: And only after the deal got signed up did he 215 00:11:08,040 --> 00:11:10,520 Speaker 1: start to seem to have problems with bots. And I 216 00:11:10,559 --> 00:11:13,400 Speaker 1: think a lot of people, including Twitter's lawyers, said, you know, 217 00:11:13,840 --> 00:11:17,000 Speaker 1: this is a pretext. This is essentially the beginning of 218 00:11:17,040 --> 00:11:20,440 Speaker 1: an elaborate set of demands that was really intended to 219 00:11:20,520 --> 00:11:24,760 Speaker 1: engineer an exit ramp for Elon must So one of 220 00:11:24,760 --> 00:11:27,680 Speaker 1: the key um claims that he made was, oh, this 221 00:11:27,800 --> 00:11:29,920 Speaker 1: bot problem is bigger than I thought it was going 222 00:11:29,960 --> 00:11:33,200 Speaker 1: to be. But that was never really in the document itself. 223 00:11:33,240 --> 00:11:35,800 Speaker 1: It was never in the agreement itself. It's sort of 224 00:11:35,840 --> 00:11:38,319 Speaker 1: something that he injected into the picture. And I think 225 00:11:38,360 --> 00:11:40,360 Speaker 1: one of the key questions that people were looking at 226 00:11:40,440 --> 00:11:42,600 Speaker 1: today was whether the judge was going to be willing 227 00:11:42,600 --> 00:11:46,080 Speaker 1: to take a long term litigation approach, which would be 228 00:11:46,120 --> 00:11:48,040 Speaker 1: kind of a signal that she might be more willing 229 00:11:48,080 --> 00:11:51,400 Speaker 1: to listen to some of this bought count war, and 230 00:11:51,440 --> 00:11:55,120 Speaker 1: instead she's fast tracted. There's still gonna be arguments about bots, 231 00:11:55,160 --> 00:11:57,280 Speaker 1: don't get me wrong, but they're not going to be 232 00:11:57,360 --> 00:12:00,040 Speaker 1: the sort of blown out thing that Elon must and 233 00:12:00,120 --> 00:12:02,959 Speaker 1: his lawyers wanted. You know, the professor makes a really 234 00:12:03,000 --> 00:12:04,960 Speaker 1: good point. So much has happened you almost forget that 235 00:12:04,960 --> 00:12:08,720 Speaker 1: Twitter didn't want to do this deal in the first place, 236 00:12:08,720 --> 00:12:11,120 Speaker 1: and now here we are. What are you hearing from 237 00:12:11,160 --> 00:12:13,679 Speaker 1: your Twitter sources about what they are going to be 238 00:12:13,720 --> 00:12:17,640 Speaker 1: doing over the next few weeks. Well, obviously there's a 239 00:12:17,679 --> 00:12:20,679 Speaker 1: lot of preparation that will go into this. But I 240 00:12:20,720 --> 00:12:23,240 Speaker 1: think this, you know, as Eric mentioned, like, this is 241 00:12:23,280 --> 00:12:26,240 Speaker 1: a good win for Twitter because it shows that their 242 00:12:26,360 --> 00:12:29,600 Speaker 1: argument is already being well received, right, which I think 243 00:12:29,679 --> 00:12:31,920 Speaker 1: was the big thing. I think they've already sort of 244 00:12:31,960 --> 00:12:34,719 Speaker 1: one a little bit in the court of public opinion here. 245 00:12:34,760 --> 00:12:37,080 Speaker 1: I don't know, I certainly on on my Twitter feed. 246 00:12:37,200 --> 00:12:38,760 Speaker 1: You know, there was a lot of support for Twitter 247 00:12:38,800 --> 00:12:41,880 Speaker 1: from their lawsuit. I've I've certainly seen employees seem to 248 00:12:41,920 --> 00:12:44,160 Speaker 1: be happy with how the company has handled this. So 249 00:12:44,760 --> 00:12:47,680 Speaker 1: I think at this point it's about trying to remove 250 00:12:47,720 --> 00:12:49,920 Speaker 1: a lot of the uncertainty, right because the company has 251 00:12:49,920 --> 00:12:52,400 Speaker 1: been in this weird state for months where they you know, 252 00:12:52,480 --> 00:12:54,520 Speaker 1: they say, hey, it's business as usual, but you can't 253 00:12:54,559 --> 00:12:57,200 Speaker 1: imagine that, you know, you're gonna be putting a six 254 00:12:57,240 --> 00:12:59,920 Speaker 1: months twelve month product roadmap out the door when you 255 00:13:00,040 --> 00:13:02,440 Speaker 1: have Elon Musk covering there. So I think at this 256 00:13:02,480 --> 00:13:04,120 Speaker 1: point again, they want to do this as quick as 257 00:13:04,120 --> 00:13:06,840 Speaker 1: possible so that they can get back to doing things 258 00:13:06,840 --> 00:13:11,280 Speaker 1: like shipping products, doing things like, you know, improving the business. Indeed, 259 00:13:11,440 --> 00:13:15,600 Speaker 1: um Professor Tally, how do you think Elon Musk's larger 260 00:13:15,600 --> 00:13:17,839 Speaker 1: than life personality, the fact that he has a hundred 261 00:13:17,840 --> 00:13:21,040 Speaker 1: million Twitter followers himself. I mean, there's a pretty uh, 262 00:13:21,080 --> 00:13:22,800 Speaker 1: you know, if if we're talking about the court of 263 00:13:22,840 --> 00:13:25,560 Speaker 1: public opinion, Elon Musk has a lot of fans. How 264 00:13:25,559 --> 00:13:29,120 Speaker 1: do you think that will influence this trial? Well, there's 265 00:13:29,120 --> 00:13:31,160 Speaker 1: a sense in which it already has. One of the 266 00:13:31,280 --> 00:13:34,320 Speaker 1: arguments that Twitter's lawyers made today was that you just 267 00:13:34,360 --> 00:13:37,880 Speaker 1: can't leave this deal in limbo when it may just 268 00:13:37,960 --> 00:13:40,040 Speaker 1: be thrown into utter chaos if we're going to be 269 00:13:40,080 --> 00:13:42,920 Speaker 1: going into another year's worth of litigation, and that may 270 00:13:42,920 --> 00:13:45,959 Speaker 1: be in part due to their arguments about the amount 271 00:13:45,960 --> 00:13:49,680 Speaker 1: of damage that Elon must could potentially do here. Now, 272 00:13:49,800 --> 00:13:52,640 Speaker 1: it's definitely true that that you know, there is this 273 00:13:52,880 --> 00:13:55,480 Speaker 1: There has long been this kind of question about whether 274 00:13:55,600 --> 00:13:58,400 Speaker 1: Mr Musk has some sort of I don't know, Elon 275 00:13:58,520 --> 00:14:02,040 Speaker 1: exceptionalism that wouldn't that wouldn't make him bound to the 276 00:14:02,080 --> 00:14:04,559 Speaker 1: same rules that applied everyone else. This is an early 277 00:14:04,640 --> 00:14:07,560 Speaker 1: shot across the bow that suggests that this judge in 278 00:14:07,559 --> 00:14:10,160 Speaker 1: particular is willing to treat this case just like she 279 00:14:10,200 --> 00:14:13,120 Speaker 1: would any other case. And when you've got a deal 280 00:14:13,160 --> 00:14:16,640 Speaker 1: that has gotten signed up on very seller friendly terms 281 00:14:16,880 --> 00:14:20,400 Speaker 1: with very little due diligence in what seems like, at 282 00:14:20,480 --> 00:14:23,400 Speaker 1: least at present, to be a bit of a drummed 283 00:14:23,440 --> 00:14:26,040 Speaker 1: up reason to want to walk away. Uh, you know 284 00:14:26,080 --> 00:14:30,120 Speaker 1: that the the musque team probably has an uphill battle 285 00:14:30,280 --> 00:14:32,560 Speaker 1: to climb here. Uh you know, I think there is 286 00:14:32,600 --> 00:14:35,560 Speaker 1: a real sense as well that Delaware courts view this 287 00:14:35,680 --> 00:14:38,360 Speaker 1: is kind of their um look in the mirror moment. 288 00:14:38,480 --> 00:14:40,920 Speaker 1: They are widely reputed to be, and they embraced this 289 00:14:41,240 --> 00:14:43,680 Speaker 1: as the place where sort of grown ups go to 290 00:14:43,680 --> 00:14:46,280 Speaker 1: to to transact with one another. And if you put 291 00:14:46,280 --> 00:14:48,640 Speaker 1: something down on paper and you promise it, um, they're 292 00:14:48,640 --> 00:14:51,040 Speaker 1: gonna hold you to it. And so on some level, yes, 293 00:14:51,120 --> 00:14:54,440 Speaker 1: Elon Musk has a has a larger than life presence, 294 00:14:54,720 --> 00:14:57,760 Speaker 1: but that also has a countervailing effect that the Delaware 295 00:14:57,800 --> 00:15:01,360 Speaker 1: courts might have an opportunity to say, even for this person, 296 00:15:01,840 --> 00:15:05,480 Speaker 1: we're going to hold into his agreements. Fascinating. Well, I'm 297 00:15:05,520 --> 00:15:07,880 Speaker 1: sure there will be many more twists and turns between 298 00:15:07,880 --> 00:15:12,000 Speaker 1: now and October. Eric Talley, Columbia Law School Professor, thank you, 299 00:15:12,080 --> 00:15:14,360 Speaker 1: as well as our very own Kurt Wagner, who has 300 00:15:14,360 --> 00:15:26,640 Speaker 1: a day in Delaware court in October. A newly released 301 00:15:26,640 --> 00:15:30,720 Speaker 1: memo is raising alarm about competitive practices in Silicon Valley 302 00:15:30,720 --> 00:15:34,480 Speaker 1: and helping to shape regulation. An internal document prepared for 303 00:15:34,680 --> 00:15:39,800 Speaker 1: Mark Zuckerberg by Facebook executives, now released by the House, 304 00:15:40,200 --> 00:15:42,800 Speaker 1: reveals the company is more worried about threats from its 305 00:15:42,800 --> 00:15:47,680 Speaker 1: own products like Instagram and What'sapp then threats from rivals. 306 00:15:47,680 --> 00:15:51,080 Speaker 1: This memo has helped lawmakers put together the American Innovation 307 00:15:51,160 --> 00:15:55,480 Speaker 1: and Choice Online Act that would curb some of Meta's powers. 308 00:15:55,520 --> 00:15:59,160 Speaker 1: Here to discuss Bloomberg's Lee and Nilan who covers regulation 309 00:15:59,440 --> 00:16:01,640 Speaker 1: in washing too, and so Lea tell us exactly what 310 00:16:01,680 --> 00:16:05,240 Speaker 1: was in this memo and why it matters. Yeah, So 311 00:16:05,360 --> 00:16:07,840 Speaker 1: this memo was written in twenty eight keen by a 312 00:16:08,000 --> 00:16:13,640 Speaker 1: senior data scientist and economist at Facebook, Thomas Cummeningham, and 313 00:16:13,680 --> 00:16:18,320 Speaker 1: he actually analyzed the ways in which Facebook's own products 314 00:16:18,360 --> 00:16:20,960 Speaker 1: compete with each other, So the ways in which Instagram 315 00:16:20,960 --> 00:16:23,960 Speaker 1: and Facebook compete against each other, the ways in which 316 00:16:24,240 --> 00:16:28,360 Speaker 1: Facebook Messenger and What'sapp compete against each other, and how 317 00:16:28,560 --> 00:16:32,480 Speaker 1: um those were growing or shrinking. And that was really 318 00:16:32,520 --> 00:16:35,560 Speaker 1: interesting because this entire memo is about how Facebook's own 319 00:16:35,640 --> 00:16:39,200 Speaker 1: products are really cannibalizing each other and seen as like 320 00:16:39,280 --> 00:16:43,160 Speaker 1: the biggest competitors against Facebook's main product instead of any rivals. 321 00:16:43,200 --> 00:16:47,000 Speaker 1: There aren't that many external companies that are even mentioned 322 00:16:47,000 --> 00:16:49,760 Speaker 1: in this memo, you know, like YouTube gets a very 323 00:16:49,760 --> 00:16:52,600 Speaker 1: small shout out, Apple's I message gets a very small 324 00:16:52,600 --> 00:16:55,520 Speaker 1: shout out. TikTok isn't even mentioned in here, and that 325 00:16:55,560 --> 00:16:58,640 Speaker 1: was what is so was so interesting to house investigators 326 00:16:58,760 --> 00:17:02,520 Speaker 1: is it's sort of backs up the idea that Facebook 327 00:17:02,520 --> 00:17:05,440 Speaker 1: had bought these properties to sort of extend its monopoly 328 00:17:05,720 --> 00:17:11,639 Speaker 1: in social networking. So what's the impact that this memo 329 00:17:11,720 --> 00:17:17,480 Speaker 1: could have on pending regulation and impact essentially on Facebook's 330 00:17:17,560 --> 00:17:20,080 Speaker 1: laws that Facebook is ultimately potentially going to have to 331 00:17:20,119 --> 00:17:24,520 Speaker 1: abide by. Yeah, so Congress right now is considering this legislation, 332 00:17:24,640 --> 00:17:27,840 Speaker 1: the American Innovation and Choice Act, that would prevent some 333 00:17:27,880 --> 00:17:31,119 Speaker 1: of the big tech platforms like Facebook from self preferencing, 334 00:17:31,200 --> 00:17:35,960 Speaker 1: so giving advantages to its own products over those of rivals. 335 00:17:36,000 --> 00:17:38,359 Speaker 1: So one thing that Facebook does, for example, is make 336 00:17:38,400 --> 00:17:41,359 Speaker 1: it really easy to cross post between Facebook and Instagram, 337 00:17:42,080 --> 00:17:45,400 Speaker 1: right this legislation would force them to make it easier 338 00:17:45,440 --> 00:17:48,120 Speaker 1: for other platforms to also cross post to their own 339 00:17:48,480 --> 00:17:53,719 Speaker 1: to their social networks. Um, this UH legislation has advanced 340 00:17:53,800 --> 00:17:55,679 Speaker 1: in both the House and the Senate, but it still 341 00:17:55,720 --> 00:17:58,040 Speaker 1: needs a floor vote, and so there's been a lot 342 00:17:58,080 --> 00:18:00,600 Speaker 1: of pressure um in the Senate and for particular, for 343 00:18:00,640 --> 00:18:02,440 Speaker 1: this to come up for a vote before the August 344 00:18:02,440 --> 00:18:05,480 Speaker 1: recess and lawmakers sort of leave for the month and 345 00:18:05,520 --> 00:18:07,359 Speaker 1: then when they come back they really are focused on 346 00:18:07,400 --> 00:18:09,520 Speaker 1: the November elections. So this is seen as like the 347 00:18:09,600 --> 00:18:14,080 Speaker 1: really large and last window for Congress to actually act 348 00:18:14,119 --> 00:18:16,560 Speaker 1: on the NHS legislation if something is going to happen 349 00:18:16,600 --> 00:18:21,320 Speaker 1: this year quickly any response from Facebook about this, I 350 00:18:21,320 --> 00:18:23,320 Speaker 1: mean Facebook is actually the one that handed over the 351 00:18:23,320 --> 00:18:26,520 Speaker 1: memo to the House in the first place. Yeah, they said, 352 00:18:26,560 --> 00:18:29,879 Speaker 1: you know this is old news, this is from you know, 353 00:18:30,080 --> 00:18:32,840 Speaker 1: the landscape has shifted since then. They do like to 354 00:18:33,000 --> 00:18:35,119 Speaker 1: bring up now you know that TikTok Is is a 355 00:18:35,200 --> 00:18:38,280 Speaker 1: very emerging rival, and um, you know they think that 356 00:18:38,320 --> 00:18:41,760 Speaker 1: there's still a lot of competition in the social networking space. 357 00:18:43,000 --> 00:18:46,080 Speaker 1: All Right, something will continue to follow Bloombergs Leon Nilan, 358 00:18:46,240 --> 00:18:58,240 Speaker 1: thank you for that context. Welcome back to bloomber Technology 359 00:18:58,240 --> 00:18:59,840 Speaker 1: and Emily changing in San Francisco. I want to get 360 00:18:59,880 --> 00:19:02,440 Speaker 1: back to our top story, and that is Netflix share 361 00:19:02,520 --> 00:19:07,680 Speaker 1: still jumping after hours after the streaming giant reported lower 362 00:19:08,080 --> 00:19:10,920 Speaker 1: a lower than expected loss in subscribers in the second quarter, 363 00:19:10,960 --> 00:19:15,879 Speaker 1: but the forecast still slower than expected recovery in the 364 00:19:16,000 --> 00:19:20,720 Speaker 1: current quarter. Ross Gerber, CEO of Gerbert Kawasaki, joins us. Now, Ross, 365 00:19:21,040 --> 00:19:23,040 Speaker 1: do you like what you see? I know you're a 366 00:19:23,040 --> 00:19:26,639 Speaker 1: big Netflix holder, but here we are having lost another 367 00:19:26,720 --> 00:19:31,240 Speaker 1: million subscribers. Well, yes and no, I mean obviously losing 368 00:19:31,280 --> 00:19:34,840 Speaker 1: subscribers is not a great headline, but you have to 369 00:19:34,880 --> 00:19:37,320 Speaker 1: look at it in the context of obviously rising prices 370 00:19:37,359 --> 00:19:38,960 Speaker 1: in the United States and the fact that they don't 371 00:19:39,000 --> 00:19:41,560 Speaker 1: have a way to monetize people who don't want to pay, 372 00:19:41,560 --> 00:19:45,880 Speaker 1: which is turns out about people who watch Netflix don't pay, 373 00:19:45,960 --> 00:19:48,520 Speaker 1: and that's really why I think people are so bullish. 374 00:19:48,600 --> 00:19:51,200 Speaker 1: Is the strategy that Netflix is going to be employing 375 00:19:51,280 --> 00:19:54,480 Speaker 1: to get these people to pay is a two pronged 376 00:19:54,520 --> 00:19:56,680 Speaker 1: strategy that I think will be very effective. One is 377 00:19:56,720 --> 00:19:59,680 Speaker 1: the ad supported tier, which I think is a wonderful 378 00:19:59,680 --> 00:20:02,719 Speaker 1: opera tunity to address a global market if you're an 379 00:20:02,720 --> 00:20:06,879 Speaker 1: advertiser and a very engaged audience. So as an advertiser myself, 380 00:20:06,920 --> 00:20:09,840 Speaker 1: I would definitely put ads on Netflix, and then secondly 381 00:20:10,240 --> 00:20:13,560 Speaker 1: um from getting some add on sub revenue from the 382 00:20:13,600 --> 00:20:16,800 Speaker 1: people who use their mom's accounts. So you know, essentially 383 00:20:16,880 --> 00:20:19,520 Speaker 1: this is a wake up call to millennials across America 384 00:20:19,840 --> 00:20:21,520 Speaker 1: that they're going to have to watch ads if they 385 00:20:21,560 --> 00:20:23,479 Speaker 1: don't want to pay for Netflix or their mom can 386 00:20:23,520 --> 00:20:25,960 Speaker 1: pay another couple bucks a month. But the days of 387 00:20:26,040 --> 00:20:30,000 Speaker 1: free streaming are definitely over for Netflix. What's your take 388 00:20:30,160 --> 00:20:34,840 Speaker 1: on their content spending strategy. Yes, there are huge hits, 389 00:20:34,840 --> 00:20:37,200 Speaker 1: they spend a lot on those hits, But it seems 390 00:20:37,240 --> 00:20:41,680 Speaker 1: like Netflix makes a lot of stuff. Well, when you're 391 00:20:41,720 --> 00:20:45,280 Speaker 1: serving the world, essentially, you have a huge audience to 392 00:20:45,359 --> 00:20:48,240 Speaker 1: make happy, you know, so like a lot of content 393 00:20:48,320 --> 00:20:51,359 Speaker 1: they make is really for niche audiences one way or 394 00:20:51,359 --> 00:20:53,720 Speaker 1: another that they're trying to serve all throughout the world. 395 00:20:54,119 --> 00:20:56,760 Speaker 1: But you have to look at it from this, you know, 396 00:20:56,840 --> 00:20:58,960 Speaker 1: like how much goes out and how much comes in 397 00:20:59,160 --> 00:21:02,360 Speaker 1: versus and what they get for what they're spending. And 398 00:21:02,400 --> 00:21:03,919 Speaker 1: I think one of the things in the report that 399 00:21:03,960 --> 00:21:06,720 Speaker 1: I found really interesting was the fact that Netflix is 400 00:21:06,720 --> 00:21:09,400 Speaker 1: now getting to a point where they're amortizing the same 401 00:21:09,440 --> 00:21:12,439 Speaker 1: amount as they're spending on content, and they used to 402 00:21:12,440 --> 00:21:15,240 Speaker 1: spend a lot more than they're amortizing, And so what 403 00:21:15,359 --> 00:21:17,280 Speaker 1: we're really getting out of their financials there's a real 404 00:21:17,400 --> 00:21:20,359 Speaker 1: number of profitability on the content spend that they have. 405 00:21:20,560 --> 00:21:23,920 Speaker 1: So if any group of people that I trust spending 406 00:21:23,960 --> 00:21:26,560 Speaker 1: content is the group of people at Netflix. They just 407 00:21:26,640 --> 00:21:29,040 Speaker 1: make amazing content and they have a great team. Now, 408 00:21:29,200 --> 00:21:32,280 Speaker 1: obviously valuations have dropped out there, and I wonder what 409 00:21:32,359 --> 00:21:35,680 Speaker 1: you think about M and A could Netflix potentially acquire 410 00:21:36,400 --> 00:21:40,160 Speaker 1: some you know, new capabilities here. What about a Roku 411 00:21:40,520 --> 00:21:43,240 Speaker 1: or a theater chain. Well, I was kind of pushing 412 00:21:43,240 --> 00:21:46,240 Speaker 1: towards the theater chain idea because I love putting Ryan 413 00:21:46,280 --> 00:21:48,320 Speaker 1: Reynolds movie in the theater, which I think it could 414 00:21:48,359 --> 00:21:50,760 Speaker 1: generate a hundred million plus that Netflix isn't going to 415 00:21:50,840 --> 00:21:53,800 Speaker 1: get and as a user, I would wait another two 416 00:21:53,840 --> 00:21:56,520 Speaker 1: weeks to watch it on Netflix. You know, it wouldn't 417 00:21:56,520 --> 00:21:58,840 Speaker 1: matter to me. So, you know, it makes me sad 418 00:21:58,880 --> 00:22:01,159 Speaker 1: they're not moving that action. But I'm I'm in the 419 00:22:01,160 --> 00:22:03,560 Speaker 1: gaming business too, and they're moving towards gaming, and their 420 00:22:03,600 --> 00:22:06,399 Speaker 1: partnered with Microsoft, which is one of our top holdings 421 00:22:06,400 --> 00:22:08,920 Speaker 1: in my fund g K and as well as Netflix. 422 00:22:08,960 --> 00:22:12,640 Speaker 1: So I'm really happy with Microsoft and Netflix moving into 423 00:22:12,640 --> 00:22:16,040 Speaker 1: the gaming area together. If you look at the way 424 00:22:16,080 --> 00:22:19,280 Speaker 1: Disney is monetized i P at Marvel, that's what Netflix 425 00:22:19,320 --> 00:22:21,600 Speaker 1: is really thinking about in their futures. How do we 426 00:22:21,680 --> 00:22:23,960 Speaker 1: monetize our i P better? How do we get more 427 00:22:23,960 --> 00:22:26,879 Speaker 1: revenue dollars per user? Maybe it's live events, and we 428 00:22:26,920 --> 00:22:29,719 Speaker 1: saw that with the Netflix comedy specials, which were actually 429 00:22:29,760 --> 00:22:32,600 Speaker 1: live events that Netflix sold tickets to but then put 430 00:22:32,640 --> 00:22:35,320 Speaker 1: on the platform as well, so I think that's really 431 00:22:35,359 --> 00:22:38,639 Speaker 1: the thinking they're Um, we're a very big company with 432 00:22:38,720 --> 00:22:41,080 Speaker 1: lots of subscribers, and we still want to grow, but 433 00:22:41,160 --> 00:22:43,560 Speaker 1: there's a huge amount of revenue and profits. We have 434 00:22:43,680 --> 00:22:46,439 Speaker 1: a tapped from this audience that they're really focused on, 435 00:22:46,480 --> 00:22:49,360 Speaker 1: and I think that approach is really, you know, attractive 436 00:22:49,600 --> 00:22:51,440 Speaker 1: to me as a sharehold. I also want to ask 437 00:22:51,480 --> 00:22:54,399 Speaker 1: you about Tesla and Twitter. I know you're a big 438 00:22:54,480 --> 00:22:58,480 Speaker 1: Tesla holder. As I understand it, you held Twitter until 439 00:22:58,880 --> 00:23:01,000 Speaker 1: Elon must decide and he wanted to pull out of 440 00:23:01,040 --> 00:23:05,359 Speaker 1: the deal. Now we're seeing this judge fast track the 441 00:23:05,440 --> 00:23:08,360 Speaker 1: trial as Twitter wanted them to do, and there are 442 00:23:08,400 --> 00:23:12,320 Speaker 1: certainly signs that this Delaware court could force Elon Musk 443 00:23:12,560 --> 00:23:15,439 Speaker 1: to do the deal. What's your take. I'm not a lawyer, 444 00:23:15,480 --> 00:23:17,399 Speaker 1: so I just want to say I have a pretty 445 00:23:17,400 --> 00:23:20,760 Speaker 1: good understanding of law. But but I'm not a professional lawyer. 446 00:23:20,840 --> 00:23:24,160 Speaker 1: But my take on this, and I've spoken to many 447 00:23:24,200 --> 00:23:26,760 Speaker 1: legal people about this as well, and my own experience 448 00:23:26,920 --> 00:23:29,760 Speaker 1: in watching mergers over my life, is that Elon has 449 00:23:29,800 --> 00:23:32,840 Speaker 1: made a big mistake and this is a mess. You know, 450 00:23:33,040 --> 00:23:35,920 Speaker 1: there was a material effect on Twitter and you can't 451 00:23:35,960 --> 00:23:39,040 Speaker 1: deny it, and pulling out of this deal has severely 452 00:23:39,119 --> 00:23:42,840 Speaker 1: damaged Twitter and and you know, their future, so I 453 00:23:43,280 --> 00:23:46,480 Speaker 1: you know, I think Ellen is at risk to potentially 454 00:23:46,480 --> 00:23:49,400 Speaker 1: losing billions of dollars and damages. But I don't see 455 00:23:49,440 --> 00:23:51,920 Speaker 1: a court forcing a person to run a company they 456 00:23:51,920 --> 00:23:54,720 Speaker 1: don't want to run. I mean, that's not really the 457 00:23:55,040 --> 00:23:58,600 Speaker 1: solution to this. Twitter has been damaged, and the question 458 00:23:58,720 --> 00:24:01,200 Speaker 1: is whether they find that damn is to be Elon's 459 00:24:01,200 --> 00:24:04,840 Speaker 1: fault or not because of the information that he received 460 00:24:04,920 --> 00:24:08,840 Speaker 1: from Twitter, which no question was questionable. But in my mind, 461 00:24:08,880 --> 00:24:11,479 Speaker 1: they had a merger agreement and and he breached it, 462 00:24:11,520 --> 00:24:13,639 Speaker 1: and it's going to be a costly encounter for Elon. 463 00:24:13,720 --> 00:24:16,399 Speaker 1: I think doesn't damage Tesla too, I mean, doesn't make 464 00:24:16,440 --> 00:24:20,240 Speaker 1: you concerned as a Tesla shareholder. No, it's a real 465 00:24:20,320 --> 00:24:22,760 Speaker 1: positive for Tesla that he's not going to be the 466 00:24:22,760 --> 00:24:25,280 Speaker 1: CEO of Twitter. I mean, you know, as much as 467 00:24:25,480 --> 00:24:28,440 Speaker 1: yet he's not going to be the CEO of Twitter. 468 00:24:28,560 --> 00:24:30,439 Speaker 1: I can tell you that. I mean, he doesn't want 469 00:24:30,440 --> 00:24:32,560 Speaker 1: anything to do with it. That's the bottom line. He's 470 00:24:32,560 --> 00:24:35,400 Speaker 1: gonna lose billions of dollars, which he knows very wealthy man, 471 00:24:35,480 --> 00:24:39,520 Speaker 1: so he'll survive. But from a Tesla perspective. Tesla's in 472 00:24:39,720 --> 00:24:43,040 Speaker 1: massive growth mode right now. I mean, it couldn't be 473 00:24:43,040 --> 00:24:45,800 Speaker 1: a better environment to sell electric vehicles, and they got 474 00:24:45,800 --> 00:24:48,600 Speaker 1: two brand new factories and ramp mode at the same time. 475 00:24:48,880 --> 00:24:51,720 Speaker 1: His focus needs to be on Tesla right now because 476 00:24:51,760 --> 00:24:54,440 Speaker 1: the next twelve months, the eighteen months are the most 477 00:24:54,640 --> 00:24:57,960 Speaker 1: consequential months for Tesla's future that I've seen in the 478 00:24:58,000 --> 00:25:00,560 Speaker 1: eight years i've been an investor in Tesla. So so 479 00:25:01,160 --> 00:25:04,480 Speaker 1: I'm I'm you know, happy that I mean, this is 480 00:25:04,480 --> 00:25:06,960 Speaker 1: still a waste of time, and it's still distracting, but 481 00:25:07,040 --> 00:25:09,720 Speaker 1: I'm happy he's not gonna end up being CEO of Twitter, 482 00:25:10,080 --> 00:25:13,119 Speaker 1: and hopefully he'll learn his lesson and really focus on 483 00:25:13,160 --> 00:25:15,280 Speaker 1: what he's done great, which is Tesla, and and I 484 00:25:15,320 --> 00:25:18,840 Speaker 1: think that's what he's learned. Well, stranger things have happened, Ross, 485 00:25:18,880 --> 00:25:22,160 Speaker 1: and I'm going to keep using that pun. Ross Kerberg 486 00:25:22,240 --> 00:25:26,000 Speaker 1: or Wakawasaki CEO. Always great to have you, Thank you, Okay. 487 00:25:26,080 --> 00:25:29,640 Speaker 1: Coming up, calls for clear crypto regulation are getting louder, 488 00:25:29,680 --> 00:25:32,639 Speaker 1: but SEC chair Gary Gensler says there are laws in 489 00:25:32,720 --> 00:25:36,960 Speaker 1: place and crypto platforms aren't coming forward. Well on that, next, 490 00:25:37,200 --> 00:25:41,439 Speaker 1: Mrs Bloomberg there's a lot of non compliance, meaning like 491 00:25:41,480 --> 00:25:45,960 Speaker 1: if you raise money from the public and and that 492 00:25:46,040 --> 00:25:51,560 Speaker 1: public is anticipating based on your efforts, UH, some profit 493 00:25:52,200 --> 00:25:55,320 Speaker 1: that comes into the securities laws. We at the SEC 494 00:25:55,400 --> 00:25:58,359 Speaker 1: are going to do what we can. But right now 495 00:25:58,400 --> 00:26:03,600 Speaker 1: there's far too many of these platforms that haven't come 496 00:26:03,640 --> 00:26:08,280 Speaker 1: in uh to basically comply with the law and register. 497 00:26:22,720 --> 00:26:26,560 Speaker 1: When you look back, there was very little self regulation. Uh. 498 00:26:26,920 --> 00:26:33,320 Speaker 1: There was inane risk management where companies took massive leverage, 499 00:26:34,000 --> 00:26:36,880 Speaker 1: took asset liability mismatch, which means they had short term 500 00:26:36,920 --> 00:26:39,879 Speaker 1: deposits they lent them out long. I mean, those are 501 00:26:39,880 --> 00:26:46,240 Speaker 1: the two ways people always go bankrupt. Galaxy Digitals, Mike 502 00:26:46,320 --> 00:26:48,960 Speaker 1: novograts they're saying crypto companies might have needed to better 503 00:26:49,200 --> 00:26:52,040 Speaker 1: self regulate. He was at the Bloomber Crypto summer earlier 504 00:26:52,040 --> 00:26:55,080 Speaker 1: in New York, along with coin bases out of the 505 00:26:55,160 --> 00:26:59,000 Speaker 1: US policy. Cara Calvert, who joins US now to unpack 506 00:26:59,480 --> 00:27:03,160 Speaker 1: it all, also look a couple of competing narratives here, Kara. 507 00:27:03,520 --> 00:27:06,560 Speaker 1: One that there is regulation, this according to the Chair 508 00:27:07,720 --> 00:27:11,600 Speaker 1: of the SEC former Chair of the SEC, but that 509 00:27:11,720 --> 00:27:16,280 Speaker 1: companies aren't listening, aren't coming forward. What do you think 510 00:27:16,640 --> 00:27:19,480 Speaker 1: well a coin base. We actually have really founded ourselves 511 00:27:19,480 --> 00:27:21,840 Speaker 1: and pride ourselves on and on being compliant on being 512 00:27:21,840 --> 00:27:24,160 Speaker 1: the trust and most secure, and so we are regulated 513 00:27:24,160 --> 00:27:26,520 Speaker 1: by more than forty two state forty two state licenses. 514 00:27:26,600 --> 00:27:28,640 Speaker 1: We have a bit license, we have a trust charter, 515 00:27:28,920 --> 00:27:31,560 Speaker 1: so we actually view ourselves as very well regulated. We 516 00:27:31,600 --> 00:27:34,760 Speaker 1: are regulated at the federal level by CFTC, by the SEC. 517 00:27:34,920 --> 00:27:36,879 Speaker 1: We have a dormant broker dealer license. Two of them 518 00:27:36,920 --> 00:27:39,440 Speaker 1: actually were regulated by SINS and so we actually think 519 00:27:39,440 --> 00:27:41,959 Speaker 1: that there is a regulatory framework in place that is 520 00:27:42,040 --> 00:27:44,960 Speaker 1: that is pretty effective. But we think really what we 521 00:27:45,000 --> 00:27:46,960 Speaker 1: need to do is make sure that we modernize those 522 00:27:47,080 --> 00:27:49,600 Speaker 1: rules and bring them into into a space that can 523 00:27:49,720 --> 00:27:53,520 Speaker 1: really and truly understand the technological capabilities of blockchain and 524 00:27:53,600 --> 00:27:57,679 Speaker 1: digital assets and actually help consumers achieve and understand those benefits. So, 525 00:27:57,800 --> 00:28:01,480 Speaker 1: if those rules were modernized, do you think that the 526 00:28:01,520 --> 00:28:04,960 Speaker 1: spectacular crash we've just seen could have been avoided? The 527 00:28:05,040 --> 00:28:07,600 Speaker 1: collapse of you know, a major crypto hedge fund, a 528 00:28:07,600 --> 00:28:10,919 Speaker 1: major crypto lender, could have been avoided. I think it's 529 00:28:10,920 --> 00:28:13,159 Speaker 1: difficult to predict what may have happened, but I do 530 00:28:13,280 --> 00:28:15,919 Speaker 1: think that there certainly if we had clear rules of 531 00:28:15,920 --> 00:28:18,920 Speaker 1: the road for all different types of the all different 532 00:28:18,920 --> 00:28:21,639 Speaker 1: companies engaged in the crypto ecosystem. We certainly would have 533 00:28:21,680 --> 00:28:24,800 Speaker 1: more clarity where it comes to disclosures or um certain 534 00:28:24,840 --> 00:28:27,200 Speaker 1: requirements on how on you know, how you may address 535 00:28:27,240 --> 00:28:29,840 Speaker 1: different business risks or different needs. What we saw through 536 00:28:29,880 --> 00:28:32,400 Speaker 1: the recent volatility is that the issue is really a 537 00:28:32,400 --> 00:28:35,960 Speaker 1: credit problem, not a crypto problem. And so what we're 538 00:28:35,960 --> 00:28:38,360 Speaker 1: hoping for again is these consistent rules that will help 539 00:28:38,360 --> 00:28:41,480 Speaker 1: consumers understand what they're getting into when they have crypto, 540 00:28:41,520 --> 00:28:44,360 Speaker 1: and that you have businesses and and innovators and new 541 00:28:44,400 --> 00:28:46,520 Speaker 1: projects that can come to the table and instead of 542 00:28:46,560 --> 00:28:49,600 Speaker 1: hiring a team of lawyers to comply with what can 543 00:28:49,680 --> 00:28:52,080 Speaker 1: be considered some vague rules, and so they can go 544 00:28:52,080 --> 00:28:54,320 Speaker 1: out and innovate and create the next big thing for consumers. 545 00:28:54,800 --> 00:28:58,520 Speaker 1: There's a crypto bill being pushed by Senators Lummis and 546 00:28:58,840 --> 00:29:02,320 Speaker 1: Jilla Brand. I actually recently spoke with both of them 547 00:29:02,360 --> 00:29:05,360 Speaker 1: about the bill and why they think this could be 548 00:29:05,440 --> 00:29:08,040 Speaker 1: the answer to take a listen to this from Senator Lamas. 549 00:29:08,640 --> 00:29:13,960 Speaker 1: The bill in one piece, as a total bill is 550 00:29:14,080 --> 00:29:18,720 Speaker 1: more likely to be deferred until next year. Uh, it's 551 00:29:18,720 --> 00:29:22,560 Speaker 1: a it's a big topic, it's comprehensive, and it's still 552 00:29:22,720 --> 00:29:26,520 Speaker 1: new to many U S. Senators. Do you like this 553 00:29:26,680 --> 00:29:28,959 Speaker 1: legislation and do you think it will pass? I'm so 554 00:29:29,080 --> 00:29:31,480 Speaker 1: really glad you yus this legislation for two reasons. One, 555 00:29:31,560 --> 00:29:33,600 Speaker 1: I'm from the great state of Wyoming, so i hold 556 00:29:33,920 --> 00:29:36,120 Speaker 1: all the work that Senator Lamas is doing very near 557 00:29:36,120 --> 00:29:38,080 Speaker 1: and dear to my heart, and so does my grandmother, 558 00:29:38,080 --> 00:29:39,680 Speaker 1: who turns on her and two and still lives there. 559 00:29:39,720 --> 00:29:42,120 Speaker 1: She she very much believes in it. So I really 560 00:29:42,120 --> 00:29:45,640 Speaker 1: appreciate Senator lemass work for the Cowboy State. Second, this 561 00:29:45,680 --> 00:29:48,640 Speaker 1: bill is by far and away the most comprehensive, detailed. 562 00:29:49,240 --> 00:29:52,480 Speaker 1: Really the intellectual rigor that was put into building it 563 00:29:52,280 --> 00:29:54,560 Speaker 1: is really impressive, and I think it will create very 564 00:29:54,600 --> 00:29:58,320 Speaker 1: much a foundation for for future legislation. And I think 565 00:29:58,360 --> 00:30:00,680 Speaker 1: she's right that at the end of the day, legislation 566 00:30:00,760 --> 00:30:02,680 Speaker 1: can take a very long time to get across the 567 00:30:02,720 --> 00:30:05,920 Speaker 1: finish line. And this is very complex. Her bill includes 568 00:30:06,040 --> 00:30:10,680 Speaker 1: CFCC juristiction sec juristiction, tax reform, it includes UM sections 569 00:30:10,720 --> 00:30:13,800 Speaker 1: on stable coins. It's very complex and putting this puzzle 570 00:30:13,840 --> 00:30:17,560 Speaker 1: together will take time. A lot of different committees leadership, 571 00:30:17,640 --> 00:30:20,240 Speaker 1: It will take the administration. So once we get all 572 00:30:20,240 --> 00:30:22,440 Speaker 1: these pieces together, I do think we're set up for 573 00:30:22,480 --> 00:30:26,160 Speaker 1: success in the coming year. Coin Base is very much 574 00:30:26,160 --> 00:30:29,000 Speaker 1: aspiring to be a global company, and cryptos, you know, 575 00:30:29,080 --> 00:30:32,200 Speaker 1: certainly a global market. Are other companies, excuse me, other 576 00:30:32,320 --> 00:30:35,680 Speaker 1: governments doing this better than the US or are they 577 00:30:35,760 --> 00:30:39,600 Speaker 1: ahead of the US on regulation? Some of the countries 578 00:30:39,640 --> 00:30:41,960 Speaker 1: actually are, I think ahead of where the U S is. 579 00:30:42,000 --> 00:30:44,240 Speaker 1: And part of that is is by just by by 580 00:30:44,360 --> 00:30:45,920 Speaker 1: nature of the fact that they may be set up 581 00:30:45,960 --> 00:30:47,920 Speaker 1: with a with a single regulator, for example in the 582 00:30:48,000 --> 00:30:51,440 Speaker 1: UK or in in this instance of EU, they're actually 583 00:30:51,440 --> 00:30:54,640 Speaker 1: putting forward a very comprehensive approach to digital assets. We're 584 00:30:54,640 --> 00:30:59,320 Speaker 1: seeing additional work in India, in Singapore, and Japan and Australia, 585 00:30:59,520 --> 00:31:01,400 Speaker 1: so they're a lot of different countries that are coming 586 00:31:01,400 --> 00:31:04,480 Speaker 1: to the table and working with stakeholders and industry participants 587 00:31:04,480 --> 00:31:07,920 Speaker 1: and consumers to understand what the impact of digital assets are. 588 00:31:08,200 --> 00:31:10,080 Speaker 1: I think that's where we need to get in terms 589 00:31:10,120 --> 00:31:14,000 Speaker 1: of the United States, is really creating a rulemaking process 590 00:31:14,040 --> 00:31:17,520 Speaker 1: and going through a regulatory process that's transparent, that is 591 00:31:17,520 --> 00:31:21,400 Speaker 1: engaging stakeholders. It's thinking about both retail and institution and 592 00:31:21,440 --> 00:31:23,360 Speaker 1: really how we can move for in a way that's 593 00:31:23,400 --> 00:31:26,479 Speaker 1: really includes all of the different viewpoints. That's what we're 594 00:31:26,480 --> 00:31:29,120 Speaker 1: missing in the United States right now. Alright, Coin based 595 00:31:29,120 --> 00:31:32,120 Speaker 1: head of US policy Karat Calibert, thanks for giving us 596 00:31:32,160 --> 00:31:44,640 Speaker 1: your view. In this week's Teconomics, Controlling a computer with 597 00:31:44,760 --> 00:31:46,960 Speaker 1: your brain. This might sound like something out of a 598 00:31:47,000 --> 00:31:51,440 Speaker 1: sci fi movie, but the technology already exists, and for 599 00:31:51,480 --> 00:31:55,400 Speaker 1: the first time, a brain computer interface device has been 600 00:31:55,440 --> 00:31:59,880 Speaker 1: implanted into the brain of a US patient. Sanchron is 601 00:31:59,880 --> 00:32:02,080 Speaker 1: the company that makes it, and its founder Tom Arksley 602 00:32:02,200 --> 00:32:06,000 Speaker 1: joins us now with more So, who is this patient 603 00:32:06,280 --> 00:32:08,920 Speaker 1: and why did they decide to do this? Tom. We're 604 00:32:08,960 --> 00:32:11,520 Speaker 1: not talking too much about the patient, Emily out of 605 00:32:11,680 --> 00:32:14,360 Speaker 1: his respect for privacy, but I can say it's a 606 00:32:14,360 --> 00:32:18,640 Speaker 1: patient that has a severe paralysis due to a LS 607 00:32:18,680 --> 00:32:21,400 Speaker 1: and he is not able to use his hands, he's 608 00:32:21,400 --> 00:32:25,320 Speaker 1: not able to speak, and he depends on assistive technologies 609 00:32:25,320 --> 00:32:28,720 Speaker 1: to communicate with his family and friends, and he's looking 610 00:32:28,720 --> 00:32:31,480 Speaker 1: for a way to improve that capability. So how will 611 00:32:31,560 --> 00:32:34,920 Speaker 1: this implant help him? The concept with a b c 612 00:32:35,120 --> 00:32:38,640 Speaker 1: I is essentially the idea that we have become dependent 613 00:32:38,680 --> 00:32:42,680 Speaker 1: on digital devices to engage with the world that there's 614 00:32:42,720 --> 00:32:45,640 Speaker 1: a part of the brain that controls our fingers. We 615 00:32:45,720 --> 00:32:48,200 Speaker 1: use our fingers to do point and click. And if 616 00:32:48,240 --> 00:32:50,240 Speaker 1: we can go straight to the source in the brain 617 00:32:50,360 --> 00:32:53,480 Speaker 1: that controls the intention to do point and click, put 618 00:32:53,480 --> 00:32:56,400 Speaker 1: a sensor in there. You can decode the information out 619 00:32:56,400 --> 00:32:58,640 Speaker 1: of the brain and then control point and click without 620 00:32:58,680 --> 00:33:01,120 Speaker 1: the need for your hands. Do that comes ditically from 621 00:33:01,160 --> 00:33:03,320 Speaker 1: the brain. What are you hoping to learn from this 622 00:33:03,720 --> 00:33:08,120 Speaker 1: patient's experience? This has been a long journey the we 623 00:33:08,200 --> 00:33:11,120 Speaker 1: became the first company to get a IDEA approval from 624 00:33:11,120 --> 00:33:13,880 Speaker 1: the FDA to conduct the study of a permanently implanted 625 00:33:14,240 --> 00:33:17,840 Speaker 1: b c I. We're still primarily focused on safety, but 626 00:33:17,880 --> 00:33:21,720 Speaker 1: we're now starting to test out the how we measure efficacy. 627 00:33:21,840 --> 00:33:25,080 Speaker 1: So the FDA has publicly stated that it's not obvious 628 00:33:25,200 --> 00:33:28,240 Speaker 1: how we would quantify the effectiveness of the b c I, 629 00:33:28,680 --> 00:33:31,040 Speaker 1: and we're starting to test out some of those parameters 630 00:33:31,440 --> 00:33:34,560 Speaker 1: with a view towards preparing that packet for FDA approval 631 00:33:34,600 --> 00:33:37,800 Speaker 1: and then going to commercial launch. Now, as I understand it, 632 00:33:38,240 --> 00:33:41,920 Speaker 1: your technology is ahead of what Elon Musk has accomplished 633 00:33:41,960 --> 00:33:46,040 Speaker 1: so far at Neuralink. How how much farther ahead, and 634 00:33:46,080 --> 00:33:48,080 Speaker 1: how is what you're trying to do different than what 635 00:33:48,160 --> 00:33:50,239 Speaker 1: he is trying to do. I would say we're at 636 00:33:50,240 --> 00:33:53,920 Speaker 1: the beginning of a renaissance of brain science, and I 637 00:33:53,920 --> 00:33:56,680 Speaker 1: think this is going to be a huge problem that's 638 00:33:56,680 --> 00:33:59,640 Speaker 1: solved for many, many patients, and there are many ways 639 00:33:59,680 --> 00:34:02,160 Speaker 1: to try to solve the problem. The way that we're 640 00:34:02,160 --> 00:34:04,920 Speaker 1: doing it is going into the brain through the blood vessels. 641 00:34:05,360 --> 00:34:08,400 Speaker 1: Were on a particular path with FDA, and we've been 642 00:34:08,440 --> 00:34:11,760 Speaker 1: able to leverage decades of knowledge around safety of leaving 643 00:34:11,760 --> 00:34:14,759 Speaker 1: devices in blood vessels um and the way that we 644 00:34:14,800 --> 00:34:17,520 Speaker 1: can expect the body to react to that. So it's 645 00:34:17,520 --> 00:34:20,560 Speaker 1: a different approach. It's a big problem, and I think 646 00:34:20,760 --> 00:34:23,480 Speaker 1: there are going to be many approaches needed. But we're 647 00:34:23,520 --> 00:34:26,120 Speaker 1: excited to be finally getting into the clinical stage in 648 00:34:26,160 --> 00:34:29,960 Speaker 1: the US, after you know, five years of discussion with 649 00:34:30,000 --> 00:34:34,359 Speaker 1: FDA and demonstration of safety and testing about our technology. 650 00:34:34,440 --> 00:34:36,560 Speaker 1: So who do you imagine we'll be doing this in 651 00:34:36,600 --> 00:34:40,760 Speaker 1: the nearer term future and in the longer term future. 652 00:34:40,840 --> 00:34:45,759 Speaker 1: Is this something that you see anyone opting to do well? 653 00:34:45,880 --> 00:34:49,960 Speaker 1: I think paralysis is a massive problem. We probably all 654 00:34:50,000 --> 00:34:53,560 Speaker 1: know someone who's lost the ability to use their hands, strokes, 655 00:34:53,600 --> 00:34:59,560 Speaker 1: spinal cord injury, als, muscular distribute multiple sclerosis, um many 656 00:34:59,600 --> 00:35:02,759 Speaker 1: condition and make our body ineffective while our brain is 657 00:35:02,800 --> 00:35:06,360 Speaker 1: still working. So our big focus is to show that 658 00:35:06,400 --> 00:35:10,360 Speaker 1: this technology is effective for the for a patient population initially, 659 00:35:10,400 --> 00:35:12,560 Speaker 1: and I think the way I think about where this 660 00:35:12,640 --> 00:35:15,160 Speaker 1: technology is going, it's going to be something like lasic. 661 00:35:15,360 --> 00:35:19,160 Speaker 1: It's an elective procedure. It helps you engage with technology more, 662 00:35:19,200 --> 00:35:23,080 Speaker 1: you reconnect with the world, you overcome physical disabilities, and 663 00:35:23,120 --> 00:35:27,080 Speaker 1: you re establish a digital um digital your digital world. 664 00:35:27,360 --> 00:35:30,960 Speaker 1: So you think that in the future, putting a device 665 00:35:31,080 --> 00:35:33,839 Speaker 1: inside your brain will be as easy and simple and 666 00:35:33,920 --> 00:35:38,600 Speaker 1: desirable as getting lasic eye surgery. Well, lasic eye surgery 667 00:35:38,640 --> 00:35:41,720 Speaker 1: is a minor procedure, still a laser on your eyeball. 668 00:35:41,880 --> 00:35:44,080 Speaker 1: It comes with risk, and it takes a couple of hours. 669 00:35:44,120 --> 00:35:47,239 Speaker 1: It's in a day procedure unit. That's the type of 670 00:35:47,400 --> 00:35:51,120 Speaker 1: position that are putting in stents and pacemakers are using 671 00:35:51,160 --> 00:35:53,799 Speaker 1: the same technology that would be putting in a brain 672 00:35:53,800 --> 00:35:56,600 Speaker 1: computer interface if it goes through the blood vessels. So 673 00:35:56,640 --> 00:35:59,640 Speaker 1: that's a cat lab and they thousands of them across 674 00:35:59,640 --> 00:36:01,960 Speaker 1: the country, tree with many many physicians who can perform 675 00:36:01,960 --> 00:36:04,960 Speaker 1: the procedure. It's a day procedure. It's invisible to the 676 00:36:04,960 --> 00:36:08,759 Speaker 1: outside world, and it helps you reconnect and it offsets 677 00:36:08,920 --> 00:36:11,319 Speaker 1: our you know, all of the things that come with 678 00:36:11,400 --> 00:36:14,560 Speaker 1: the human body that can fail for a number of reasons. 679 00:36:15,120 --> 00:36:18,799 Speaker 1: Absolutely fascinating. I understand you've done this a handful of 680 00:36:18,840 --> 00:36:23,400 Speaker 1: times in Australia to date, but your first US patient 681 00:36:23,520 --> 00:36:27,239 Speaker 1: now has a syn chron brain implant. We'll we'll keep 682 00:36:27,280 --> 00:36:31,719 Speaker 1: following your progress, Tom Sinn Chrong founder Tom Oxley, thank 683 00:36:31,760 --> 00:36:34,040 Speaker 1: you for joining us. That does it for this edition 684 00:36:34,120 --> 00:36:37,600 Speaker 1: of Bloomberg Technology. Don't forget to check out our podcast. 685 00:36:37,680 --> 00:36:40,920 Speaker 1: You can find it wherever you get your podcast. As always, 686 00:36:41,040 --> 00:36:43,960 Speaker 1: I'm Emily Changing in San Francisco. This is Bloomberg