1 00:00:03,600 --> 00:00:06,680 Speaker 1: This is Bloomberg Crypto, a daily Bloomberg I heard podcast 2 00:00:06,800 --> 00:00:09,640 Speaker 1: and I'm Stacy Marie Ishmael, Managing editor of Crypto for 3 00:00:09,640 --> 00:00:27,920 Speaker 1: Bloomberg News. It's Monday, January sixty. Hi everyone, Stacy Murrie 4 00:00:27,960 --> 00:00:30,280 Speaker 1: here Today in the U s we're observing Martin Luther 5 00:00:30,400 --> 00:00:32,640 Speaker 1: King Jr. Day, which is a holiday. So we on 6 00:00:32,680 --> 00:00:35,280 Speaker 1: the Crypto team wanted to offer up an episode we 7 00:00:35,440 --> 00:00:40,559 Speaker 1: think feels appropriate to the idea of service. This is 8 00:00:40,560 --> 00:00:43,400 Speaker 1: an episode that focuses on sam Bank un Freeds, so 9 00:00:43,479 --> 00:00:48,720 Speaker 1: called effective altruism. What happens to all of the various organizations, 10 00:00:48,840 --> 00:00:52,559 Speaker 1: nonprofit and otherwise around the world who were expecting to 11 00:00:52,600 --> 00:00:56,480 Speaker 1: receive donations or who received donations from sam Bank, mun 12 00:00:56,520 --> 00:00:59,600 Speaker 1: Freed or f TX or any of its associated entities. 13 00:01:00,120 --> 00:01:03,520 Speaker 1: Bloomberg reporters Sophia Alexander and Laura Davison joined me for 14 00:01:03,560 --> 00:01:06,000 Speaker 1: a look at the full out and we'll be back 15 00:01:06,000 --> 00:01:21,679 Speaker 1: tomorrow with a new episode. Thank you and enjoy. So 16 00:01:21,720 --> 00:01:24,640 Speaker 1: if you want, don't you introduce yourself. Hi. I'm Sophia Alexander. 17 00:01:24,720 --> 00:01:27,679 Speaker 1: I'm a reporter on the Wealth Team. I cover billionaires 18 00:01:27,720 --> 00:01:31,120 Speaker 1: what they're doing with their money, and especially billionaire philanthropy. 19 00:01:31,440 --> 00:01:33,680 Speaker 1: Such a busy time for billionaires and what they're doing 20 00:01:33,720 --> 00:01:36,839 Speaker 1: with their money. Laura, what about you? Hi? I'm Laura 21 00:01:36,920 --> 00:01:39,200 Speaker 1: Davison and I'm based down in Washington, d C. Where 22 00:01:39,200 --> 00:01:42,080 Speaker 1: I'm covering wealth but also um all things Congress and 23 00:01:42,160 --> 00:01:46,280 Speaker 1: tax policy and what politicians are up to. Again, just 24 00:01:46,600 --> 00:01:50,160 Speaker 1: many things happening in your world. So let's talk about 25 00:01:50,200 --> 00:01:53,440 Speaker 1: the place where the intersections of your worlds are happening, 26 00:01:53,480 --> 00:01:57,000 Speaker 1: and that is a gentleman named Sam Bankmun Freed, who 27 00:01:57,320 --> 00:01:59,160 Speaker 1: I'm no longer going to introduce on the show because 28 00:01:59,160 --> 00:02:02,080 Speaker 1: if you're listening to show about crypto and you you've 29 00:02:02,120 --> 00:02:04,520 Speaker 1: at least heard of what som Back Mantrid is, but 30 00:02:04,560 --> 00:02:08,440 Speaker 1: perhaps you have heard either slightly less about or don't 31 00:02:08,520 --> 00:02:12,519 Speaker 1: quite understand what the concept of effective altruism is, which 32 00:02:12,560 --> 00:02:16,480 Speaker 1: is something that he was closely associated with, Sophie. What 33 00:02:16,639 --> 00:02:20,880 Speaker 1: does this crypto billionaire or perhaps former billionaire have to 34 00:02:20,919 --> 00:02:25,880 Speaker 1: do with this particular strand of philanthropy. Effective altruism is 35 00:02:26,040 --> 00:02:31,520 Speaker 1: this brand of philosophy and philanthropy that's picked up steam 36 00:02:31,560 --> 00:02:35,600 Speaker 1: recently because it's caught the attention of billionaires like Sam 37 00:02:35,639 --> 00:02:40,520 Speaker 1: Bankman Freed, but also Elon musk, and what it is 38 00:02:40,520 --> 00:02:44,440 Speaker 1: is essentially the idea that you should make as much 39 00:02:44,480 --> 00:02:46,720 Speaker 1: money as you can to give it away, but in 40 00:02:46,760 --> 00:02:50,919 Speaker 1: a very effective way, hence the first word in the term, 41 00:02:50,960 --> 00:02:53,960 Speaker 1: but that means saving as many lives as possible. And 42 00:02:53,960 --> 00:02:57,600 Speaker 1: there's a whole other strand of it called long termism, 43 00:02:57,639 --> 00:02:59,920 Speaker 1: and the idea behind that is trying to sort of 44 00:03:00,320 --> 00:03:06,839 Speaker 1: preserve humanities long term existence on this planet. So there's 45 00:03:06,840 --> 00:03:10,960 Speaker 1: a lot of focus on artificial intelligence research and trying 46 00:03:10,960 --> 00:03:14,040 Speaker 1: to make sure that the robots basically don't kill us 47 00:03:14,040 --> 00:03:16,200 Speaker 1: in the future. They're about a definitely gonna kill us. 48 00:03:16,240 --> 00:03:18,919 Speaker 1: But when you say things like trying to preserve humanity, 49 00:03:18,960 --> 00:03:21,679 Speaker 1: I think of, you know, cryogenics and this idea that 50 00:03:21,720 --> 00:03:23,280 Speaker 1: people have like, well we can what we can all 51 00:03:23,280 --> 00:03:25,799 Speaker 1: freeze ourselves and be and be alive. I'm not sure 52 00:03:25,840 --> 00:03:28,239 Speaker 1: if effect of altruism had much to do with cryograonics, 53 00:03:28,240 --> 00:03:32,120 Speaker 1: but what I do know is that part of the 54 00:03:32,160 --> 00:03:34,920 Speaker 1: tension that I've seen in terms of the criticism is 55 00:03:35,320 --> 00:03:37,080 Speaker 1: how do you know if stuff is working? Like, if 56 00:03:37,080 --> 00:03:40,160 Speaker 1: you have such a long term time horizon, how are 57 00:03:40,200 --> 00:03:44,520 Speaker 1: you even measuring the efficacy of your effectiveness? The things 58 00:03:44,560 --> 00:03:48,200 Speaker 1: that they focus on sort of get at that, like, 59 00:03:48,360 --> 00:03:50,040 Speaker 1: but there's no way of knowing whether people are going 60 00:03:50,080 --> 00:03:53,080 Speaker 1: to be around in two hundred a thousand years or whatever, 61 00:03:53,400 --> 00:03:56,960 Speaker 1: but they're trying to focus on issues that will prevent 62 00:03:57,240 --> 00:04:01,560 Speaker 1: the collapse of humanity pandemic prepared. This research on bio 63 00:04:01,640 --> 00:04:07,520 Speaker 1: security is increasingly popular, especially from SPF, and then artificial 64 00:04:07,560 --> 00:04:10,440 Speaker 1: intelligence is a big one as well, especially among not 65 00:04:10,480 --> 00:04:12,560 Speaker 1: just SPF but also Elon Muski does a lot of 66 00:04:12,560 --> 00:04:15,640 Speaker 1: that as well. And to your point, not about being 67 00:04:15,720 --> 00:04:19,640 Speaker 1: like yea robots, but more about neigh robots more so 68 00:04:19,720 --> 00:04:23,520 Speaker 1: like doing the research now to make sure that artificial 69 00:04:23,560 --> 00:04:28,839 Speaker 1: intelligence is developed in a safe way. Got it, Laura, 70 00:04:29,480 --> 00:04:32,039 Speaker 1: You're in d C, which is in a lot of 71 00:04:32,040 --> 00:04:36,640 Speaker 1: wiz the opposite of Silicon Valley, from the fashion to 72 00:04:37,080 --> 00:04:40,000 Speaker 1: the focus to just the way that you know, the 73 00:04:40,279 --> 00:04:44,960 Speaker 1: priorities that people have SPF for lots of reasons associated with, 74 00:04:45,120 --> 00:04:48,120 Speaker 1: you know, lobbying efforts around trying to get certain types 75 00:04:48,160 --> 00:04:50,600 Speaker 1: of regulations in place, spent a lot of time in 76 00:04:50,680 --> 00:04:55,040 Speaker 1: d C. Was he successful in persuading people around him 77 00:04:55,080 --> 00:04:58,680 Speaker 1: to like buy into this effective altruism vision from your perspective, 78 00:04:59,480 --> 00:05:02,560 Speaker 1: he really he talked about pandemic preparedness as being one 79 00:05:02,600 --> 00:05:05,719 Speaker 1: of his key drivers for political giving, which raised a 80 00:05:05,720 --> 00:05:08,080 Speaker 1: lot of eyebrows because there is almost zero talk in 81 00:05:08,160 --> 00:05:11,120 Speaker 1: d C about pandemic preparedness, at least among politicians and 82 00:05:11,160 --> 00:05:13,520 Speaker 1: Congress in the White House, maybe in some corners of 83 00:05:13,560 --> 00:05:16,200 Speaker 1: some agencies. But this has really been sort of an 84 00:05:16,240 --> 00:05:18,719 Speaker 1: interesting way to see how he spent his money to 85 00:05:18,800 --> 00:05:20,800 Speaker 1: really bring to life some of these ideas that he's 86 00:05:20,800 --> 00:05:24,000 Speaker 1: talked about his crypto giving or his political giving. Really 87 00:05:24,560 --> 00:05:27,520 Speaker 1: most people believe that that was more focused towards crypto 88 00:05:27,560 --> 00:05:30,560 Speaker 1: when you look at and crypto regulation or less regulation 89 00:05:30,560 --> 00:05:33,920 Speaker 1: as the case. Maybe he was giving to the key 90 00:05:34,000 --> 00:05:37,560 Speaker 1: figures there. Where you see some of these more altruism 91 00:05:37,600 --> 00:05:41,359 Speaker 1: ideas come to light is in this foundation giving though 92 00:05:41,600 --> 00:05:44,039 Speaker 1: as a reporting to show that the amount of money 93 00:05:44,080 --> 00:05:47,640 Speaker 1: that his foundation said it gave or the FTX Foundations 94 00:05:47,680 --> 00:05:50,160 Speaker 1: said it give didn't actually go out the door. Um, 95 00:05:50,200 --> 00:05:51,880 Speaker 1: you know, they had a bunch of grants that never 96 00:05:51,960 --> 00:05:54,640 Speaker 1: u ultimately got paid and in some cases some of 97 00:05:54,640 --> 00:05:56,719 Speaker 1: that money actually maybe Claude back as part of the 98 00:05:56,720 --> 00:06:01,920 Speaker 1: bankruptcy proceedings. Now, just for context, is this common in 99 00:06:02,040 --> 00:06:05,680 Speaker 1: philanthropic giving, Like is there often this discrepancy between Hey, 100 00:06:05,680 --> 00:06:07,280 Speaker 1: we're planning to give all this money and is it 101 00:06:07,360 --> 00:06:09,560 Speaker 1: just that the timelines along, it's hard to give money, 102 00:06:09,600 --> 00:06:12,720 Speaker 1: like what's going on here? In like the broader like 103 00:06:12,960 --> 00:06:16,320 Speaker 1: world of billionaire philanthropy, there are a lot of promises 104 00:06:16,360 --> 00:06:19,880 Speaker 1: that are made, like the giving pledge. It's a pledge 105 00:06:20,000 --> 00:06:24,400 Speaker 1: to give away the majority of your wealth in your 106 00:06:24,440 --> 00:06:28,000 Speaker 1: lifetime or your will. You know, a lot of people 107 00:06:28,040 --> 00:06:30,400 Speaker 1: have died who signed the giving pledge. We have no 108 00:06:30,520 --> 00:06:33,920 Speaker 1: idea whether they actually gave away the majority of their 109 00:06:33,960 --> 00:06:36,839 Speaker 1: lifetime or wrote it in their will. The majority of 110 00:06:36,880 --> 00:06:39,960 Speaker 1: your wealth is you know, a big question work because 111 00:06:40,440 --> 00:06:43,279 Speaker 1: you know, Jeff bezos Is wealth has varied, you know, 112 00:06:43,440 --> 00:06:46,000 Speaker 1: tens of billions of dollars since this time last year. 113 00:06:46,320 --> 00:06:48,520 Speaker 1: He said recently that he wants to give away most 114 00:06:48,560 --> 00:06:50,760 Speaker 1: of his wealth in his lifetime. But what does that 115 00:06:50,839 --> 00:06:53,960 Speaker 1: actually mean in terms of dollar figures? Now talking about 116 00:06:54,120 --> 00:06:57,560 Speaker 1: SPF and his pledge. You know the grants that they 117 00:06:57,560 --> 00:07:00,159 Speaker 1: said they made on their page, you know a lot 118 00:07:00,200 --> 00:07:02,200 Speaker 1: of those weren't paid yet. A lot of that has 119 00:07:02,240 --> 00:07:05,760 Speaker 1: to do with paperwork. There's a lag I think there 120 00:07:05,880 --> 00:07:09,000 Speaker 1: is a lot of pr to the world of billionaire philanthropy, 121 00:07:09,120 --> 00:07:11,720 Speaker 1: so sort of like slapping all these big numbers up 122 00:07:12,120 --> 00:07:16,080 Speaker 1: makes a person look good, and in SPFS case, that's 123 00:07:16,120 --> 00:07:20,040 Speaker 1: that's also true. Right to your point about billionaires saying 124 00:07:20,040 --> 00:07:22,480 Speaker 1: they're going to give things, it does. I'm reminded of 125 00:07:22,480 --> 00:07:25,760 Speaker 1: when people were super surprised that Mackenzie Scott formally Mackenzie 126 00:07:25,760 --> 00:07:28,920 Speaker 1: Scott Bezos was just like literally giving money to just 127 00:07:28,960 --> 00:07:30,360 Speaker 1: turn up and be like, here's a bunch of money. 128 00:07:30,400 --> 00:07:35,320 Speaker 1: By I am fascinated by what you said. They're about 129 00:07:35,360 --> 00:07:39,200 Speaker 1: this idea of pr because bank mun Freed, who has 130 00:07:39,240 --> 00:07:41,880 Speaker 1: been on a bit of a like texting with reporters tool, 131 00:07:42,440 --> 00:07:46,040 Speaker 1: in a text thread with a report at Vox Media, 132 00:07:46,440 --> 00:07:50,680 Speaker 1: appeared to concede that for him, at least some of 133 00:07:50,680 --> 00:07:54,760 Speaker 1: this effective alcoatraism stuff was just pr How seriously can 134 00:07:54,800 --> 00:07:57,600 Speaker 1: we take this movement in general? Like, is it unfair 135 00:07:57,720 --> 00:08:02,880 Speaker 1: to ascribe, you know, cynicism to the vast majority of 136 00:08:02,880 --> 00:08:07,640 Speaker 1: these folks. It's hard to know what people's real intentions are. 137 00:08:08,040 --> 00:08:12,640 Speaker 1: Philanthropy has in history been a very good PRD tool. 138 00:08:12,680 --> 00:08:15,240 Speaker 1: I mean, if you think about Rockefeller today, you think 139 00:08:15,600 --> 00:08:18,760 Speaker 1: a lot about his philanthropy. Literally, the Rockefeller censer exactly 140 00:08:18,760 --> 00:08:20,720 Speaker 1: in New York and Carnegie. You know, you think about 141 00:08:20,800 --> 00:08:24,720 Speaker 1: his public works, his libraries and things like that, you 142 00:08:24,760 --> 00:08:27,320 Speaker 1: don't think of the fact that they were robber barons. 143 00:08:27,360 --> 00:08:30,560 Speaker 1: And you know, the same has been true for you know, 144 00:08:30,840 --> 00:08:33,560 Speaker 1: billionaires who are still alive today, like Bill Gates. You know, 145 00:08:34,000 --> 00:08:36,280 Speaker 1: twenty years ago, people didn't think of him as this 146 00:08:36,360 --> 00:08:40,360 Speaker 1: fantastic philanthropist. They thought him as this evil monopoly man. 147 00:08:40,480 --> 00:08:42,960 Speaker 1: And that look how much that has changed. Sam For 148 00:08:43,000 --> 00:08:46,240 Speaker 1: the Sacklers, who you know, are implicated in the opioid crisis, 149 00:08:46,240 --> 00:08:49,760 Speaker 1: their names are slapped over museum buildings all across the country, 150 00:08:49,800 --> 00:08:53,120 Speaker 1: and until recently, no one thought anything of it. So 151 00:08:53,320 --> 00:08:57,040 Speaker 1: it is hard at this point to think, Okay, yes, 152 00:08:57,360 --> 00:09:00,200 Speaker 1: we can take this billionaire at his word that you 153 00:09:00,240 --> 00:09:02,480 Speaker 1: know he really does mean well, he's just trying to 154 00:09:02,520 --> 00:09:04,840 Speaker 1: make as much money as possible to give it away. 155 00:09:04,960 --> 00:09:07,720 Speaker 1: Maybe we should start asking the question of how are 156 00:09:07,760 --> 00:09:12,040 Speaker 1: they making their money. The other thing, too specifically about 157 00:09:12,200 --> 00:09:16,160 Speaker 1: SBF is that he clearly was very conscious about who 158 00:09:16,200 --> 00:09:18,560 Speaker 1: he gave money to and the reasons he was giving 159 00:09:18,559 --> 00:09:22,319 Speaker 1: that money. He told Fox recently that he gave as 160 00:09:22,400 --> 00:09:25,400 Speaker 1: much money to Republicans as he gave to Democrats for 161 00:09:25,400 --> 00:09:28,240 Speaker 1: political donations through dark money. Through dark money, which of 162 00:09:28,240 --> 00:09:31,920 Speaker 1: course can't be verified by definition. Those groups don't publish 163 00:09:31,960 --> 00:09:33,560 Speaker 1: their list of donors, so it's very hard to know 164 00:09:33,600 --> 00:09:36,320 Speaker 1: whether that's true. But the reason he said he gave 165 00:09:36,320 --> 00:09:39,800 Speaker 1: through dark money groups versus giving to more public entities 166 00:09:39,880 --> 00:09:44,400 Speaker 1: was because reporters freak out when billionaires give to Republicans. 167 00:09:44,400 --> 00:09:47,040 Speaker 1: So it was clear he was thinking about what is 168 00:09:47,080 --> 00:09:50,000 Speaker 1: the perception of this giving that I'm doing. So this 169 00:09:50,120 --> 00:09:53,760 Speaker 1: is SBF saying the reason he used dark money was 170 00:09:53,800 --> 00:09:57,360 Speaker 1: to avoid you know, quote unquote reports was freaking out. Yes, 171 00:09:57,640 --> 00:10:00,360 Speaker 1: and you look here to the people that were seaving 172 00:10:00,360 --> 00:10:03,560 Speaker 1: money from the ft X Foundation. It's a lot of academics, 173 00:10:03,559 --> 00:10:06,280 Speaker 1: it's a lot of researchers, including you know, undergraduate students 174 00:10:06,280 --> 00:10:10,239 Speaker 1: and PhD students, master students. Some really small dollar donations, 175 00:10:10,320 --> 00:10:12,360 Speaker 1: you know, comparatively speaking, you know, things that are in 176 00:10:12,400 --> 00:10:14,720 Speaker 1: like the tens of thousands of dollars, but people that 177 00:10:14,760 --> 00:10:17,320 Speaker 1: were influential in the field and that were very influential 178 00:10:17,400 --> 00:10:19,760 Speaker 1: online of sort of pumping up f t X as 179 00:10:19,800 --> 00:10:22,320 Speaker 1: well as the effect of altruism movement. Now, I just 180 00:10:22,360 --> 00:10:25,559 Speaker 1: want to kind of segue briefly into Future Fund and 181 00:10:25,760 --> 00:10:28,520 Speaker 1: this idea of influence because it was a part of 182 00:10:28,559 --> 00:10:32,120 Speaker 1: the overall ft X Foundation that was, according to their 183 00:10:32,160 --> 00:10:36,120 Speaker 1: marketing materials on their website, funded by what looked like 184 00:10:36,240 --> 00:10:39,320 Speaker 1: Bankman Fried's Inner Circle. Right, So you had Caroline Allison 185 00:10:39,559 --> 00:10:45,560 Speaker 1: from Alameda, Gary Wang sing what did they do exactly? Like, 186 00:10:45,640 --> 00:10:48,320 Speaker 1: what was the Future Fund? Yeah? Sure? This was actually 187 00:10:48,320 --> 00:10:51,559 Speaker 1: a really kind of novel and also very complicated organizations. 188 00:10:51,559 --> 00:10:54,839 Speaker 1: So they basically had two tiers of grants that they 189 00:10:54,880 --> 00:10:56,960 Speaker 1: gave out. They gave up bigger grants which were more 190 00:10:56,960 --> 00:11:00,240 Speaker 1: like her traditional foundation where you know, applicants could apply 191 00:11:00,360 --> 00:11:02,840 Speaker 1: and get you know, kind of hundreds of thousands or 192 00:11:02,880 --> 00:11:05,920 Speaker 1: millions of dollars. They also had this whole re grant 193 00:11:05,920 --> 00:11:08,280 Speaker 1: our structure where they had more than a hundred people 194 00:11:08,320 --> 00:11:10,720 Speaker 1: that were active in the effect of altruism community who 195 00:11:10,760 --> 00:11:13,920 Speaker 1: would identify different researchers or projects that they thought that 196 00:11:13,960 --> 00:11:16,120 Speaker 1: they were deserving of, you know, sort of smaller dollar 197 00:11:16,160 --> 00:11:18,400 Speaker 1: amounts of money. So these are a lot of students 198 00:11:18,400 --> 00:11:20,760 Speaker 1: who are applying for specific projects that they were working on, 199 00:11:20,920 --> 00:11:23,240 Speaker 1: or kind of ragtag groups of of people who were 200 00:11:23,240 --> 00:11:26,360 Speaker 1: starting different side hustles, and they could apply to get 201 00:11:26,400 --> 00:11:28,400 Speaker 1: this money. So it was really kind of broad. You know, 202 00:11:28,440 --> 00:11:31,160 Speaker 1: you look at people from you know, it was Trump's 203 00:11:31,200 --> 00:11:33,800 Speaker 1: former head of Operation Warp Speed, who's writing a memoir. 204 00:11:33,920 --> 00:11:35,320 Speaker 1: You got some money as well as you know, a 205 00:11:35,360 --> 00:11:38,880 Speaker 1: Harvard undergraduate got thirty thou dollars Up next, more from 206 00:11:38,920 --> 00:11:42,320 Speaker 1: Bloomberg reportos Sophie Alexander and Laura Davison on what's happening 207 00:11:42,360 --> 00:11:55,439 Speaker 1: with effective altruism and crypto. Now we've talked a bit 208 00:11:55,480 --> 00:11:58,920 Speaker 1: about these smaller dollar amounts and the influence, and so 209 00:11:58,960 --> 00:12:00,480 Speaker 1: I feel like we have to so about one of 210 00:12:00,520 --> 00:12:03,640 Speaker 1: the the influencers of this whole movement, which is William 211 00:12:03,720 --> 00:12:06,360 Speaker 1: David McCaskill. And when I googled him as research for this, 212 00:12:06,920 --> 00:12:09,040 Speaker 1: it was like a bunch of photos of him staring 213 00:12:09,040 --> 00:12:11,880 Speaker 1: off into the middle distance, like really intently. And he 214 00:12:12,000 --> 00:12:16,040 Speaker 1: you know, he has been described, as it were, as 215 00:12:16,080 --> 00:12:19,280 Speaker 1: a charismatic leader. Who is this dude and what was 216 00:12:19,320 --> 00:12:22,520 Speaker 1: his relationship to the FTX Foundation and to the e 217 00:12:22,640 --> 00:12:26,560 Speaker 1: A movement. He is one of the originators of the 218 00:12:26,600 --> 00:12:31,440 Speaker 1: effective altruist movement. He's a philosopher and he was actually 219 00:12:31,520 --> 00:12:35,080 Speaker 1: on the team of the f t X Future Fund. 220 00:12:36,240 --> 00:12:39,360 Speaker 1: He was one of the people who signed the letter 221 00:12:39,440 --> 00:12:42,080 Speaker 1: that went up on e a forum, a community online 222 00:12:42,679 --> 00:12:45,680 Speaker 1: from the team behind the Future Fund after the whole 223 00:12:45,720 --> 00:12:49,920 Speaker 1: thing collapsed, saying, hey, we resigned big apologies. If you 224 00:12:49,960 --> 00:12:52,240 Speaker 1: have questions and you're a grantee, please email us here. 225 00:12:52,880 --> 00:12:56,719 Speaker 1: So it's unclear to me, at least in my reporting, 226 00:12:56,880 --> 00:13:00,839 Speaker 1: what the relationship between SPF and mccasko us, but does 227 00:13:00,920 --> 00:13:05,560 Speaker 1: sound like from Ellen Hewett's story recently with Peter Singer, 228 00:13:05,679 --> 00:13:09,439 Speaker 1: she didn't interview with Peter Singer. It sounds like SBF 229 00:13:09,559 --> 00:13:12,480 Speaker 1: was making the rounds with this group. Peter Singer is 230 00:13:12,520 --> 00:13:17,400 Speaker 1: another originator of the movement, alongside McCaskill, another philosopher at Stanford, 231 00:13:17,559 --> 00:13:20,240 Speaker 1: so it sounds like they were swimming in similar circles 232 00:13:20,880 --> 00:13:23,960 Speaker 1: and no shade to philosophers. So philosophers, please don't come 233 00:13:23,960 --> 00:13:26,280 Speaker 1: from me for what I'm about to say. But most 234 00:13:26,280 --> 00:13:30,840 Speaker 1: philosophers aren't like household names. McCaskill was on The Daily 235 00:13:30,880 --> 00:13:34,240 Speaker 1: Show with Trevor Noah only a McCaskill welcomes to the 236 00:13:34,280 --> 00:13:36,760 Speaker 1: Day Show. Thanks so much for having me. I'm a fan. 237 00:13:37,000 --> 00:13:40,560 Speaker 1: It's it's it's interesting speaking to a philosopher because when 238 00:13:40,559 --> 00:13:42,960 Speaker 1: they say, philosopher. I remember thinking, oh, it's probably gonna 239 00:13:42,960 --> 00:13:45,680 Speaker 1: be like a ninety year old man with like a 240 00:13:45,760 --> 00:13:50,520 Speaker 1: stick and what is the meaning of life? But this 241 00:13:50,559 --> 00:13:54,319 Speaker 1: is an extremely savvy group of folks. Is that sort 242 00:13:54,360 --> 00:13:57,880 Speaker 1: of common in these EA circles that they are, you know, 243 00:13:57,920 --> 00:14:00,480 Speaker 1: kind of strategic about getting their message jouts in these 244 00:14:00,559 --> 00:14:04,360 Speaker 1: larger forums, in the larger forms, I'm not sure. I 245 00:14:04,400 --> 00:14:07,280 Speaker 1: mean recently, just within this past year, it's been interesting 246 00:14:07,360 --> 00:14:12,839 Speaker 1: to watch them sort of gain influence in these billionaire circles. 247 00:14:12,880 --> 00:14:16,520 Speaker 1: Like I said earlier, Elon Musk has also espoused the idea. 248 00:14:16,600 --> 00:14:20,400 Speaker 1: I don't know how recently, but at least earlier this year. 249 00:14:20,520 --> 00:14:23,520 Speaker 1: There was a poker player named Igor Kirganov who was 250 00:14:23,560 --> 00:14:27,760 Speaker 1: in charge of his foundation, and he is Elon Musk's 251 00:14:27,800 --> 00:14:31,720 Speaker 1: foundation was run by a poker player. Yes, a poker player, 252 00:14:31,720 --> 00:14:33,640 Speaker 1: and it seems like there are a lot of poker 253 00:14:33,680 --> 00:14:36,000 Speaker 1: players who are involved in the effect of Altoist movement. 254 00:14:36,480 --> 00:14:42,280 Speaker 1: This guy, Ego or Kirganov was big in the EYA space. Now, 255 00:14:42,800 --> 00:14:45,800 Speaker 1: I just said, no shade of philosophers, but some shades billionaires. 256 00:14:45,880 --> 00:14:48,640 Speaker 1: One of the things I've noticed about billionaires is they 257 00:14:48,680 --> 00:14:52,280 Speaker 1: seem to be hypersensitive to associating themselves with people who 258 00:14:52,280 --> 00:14:56,000 Speaker 1: are cool, because a lot of billionaires aren't cool. And 259 00:14:56,320 --> 00:14:58,280 Speaker 1: so tell me a little bit about you know, these 260 00:14:58,360 --> 00:15:02,760 Speaker 1: kind of billionaire circles and who they're being influenced by. Well, 261 00:15:02,920 --> 00:15:06,920 Speaker 1: with Elon Musk, it's a completely different story because it's unclear, 262 00:15:07,120 --> 00:15:09,520 Speaker 1: like how many real close friends he has. You know, 263 00:15:10,320 --> 00:15:14,200 Speaker 1: this year he had this poker player running his foundation 264 00:15:14,520 --> 00:15:17,520 Speaker 1: who he apparently met at Burning Man. You know, he 265 00:15:17,640 --> 00:15:21,360 Speaker 1: dates grimes, he like, you know, he's doing all this stuff. 266 00:15:21,440 --> 00:15:25,440 Speaker 1: Who knows who's actually close with him and who is 267 00:15:25,520 --> 00:15:29,080 Speaker 1: just associating with him for the proximity to his power. 268 00:15:29,600 --> 00:15:31,880 Speaker 1: So that's that's the circle that Ellen Musk runs in 269 00:15:32,000 --> 00:15:34,480 Speaker 1: with SPF. It sounds like it was this tight knit 270 00:15:34,600 --> 00:15:39,480 Speaker 1: circle of FTX folks and also effective altruists. I just 271 00:15:39,640 --> 00:15:41,240 Speaker 1: I feel like I have to close with this anecdote 272 00:15:41,240 --> 00:15:43,280 Speaker 1: because it's too good not to. In the New Yorker 273 00:15:43,320 --> 00:15:47,960 Speaker 1: profile of William McCaskill, they have this sentence, McCaskill like 274 00:15:48,040 --> 00:15:50,160 Speaker 1: to drink too many pipes of bit and frolic about 275 00:15:50,160 --> 00:15:52,520 Speaker 1: in the nude, climbing pitched roofs by night for the 276 00:15:52,560 --> 00:15:55,680 Speaker 1: life affirming flush. He was a saxophonist in a campus 277 00:15:55,680 --> 00:15:58,480 Speaker 1: funk bland that played the Mabels and was known as 278 00:15:58,480 --> 00:16:04,200 Speaker 1: a hopeless romantic incredible. Thank you both, thank you, thank you. 279 00:16:04,520 --> 00:16:06,640 Speaker 1: That was super fun. I learned at least five wild things. 280 00:16:09,640 --> 00:16:11,640 Speaker 1: You can find more of their reporting on the Bloomberg 281 00:16:11,720 --> 00:16:14,280 Speaker 1: terminal and on Bloomberg dot com, and do check out 282 00:16:14,280 --> 00:16:17,000 Speaker 1: our newsletter, which is also called Bloomberg Crypto. You can 283 00:16:17,000 --> 00:16:19,320 Speaker 1: get that in your inboxes twice a week on Tuesdays 284 00:16:19,360 --> 00:16:27,200 Speaker 1: and Thursdays. This is Bloomberg Crypto, a daily podcast from 285 00:16:27,200 --> 00:16:30,240 Speaker 1: Bloomberg and I Heart Radio. For more shows from I 286 00:16:30,320 --> 00:16:33,600 Speaker 1: Heart Radio, visit the I Heart Radio app, Apple Podcasts, 287 00:16:33,760 --> 00:16:37,680 Speaker 1: or wherever you get your podcasts. Send us your comments, questions, 288 00:16:37,760 --> 00:16:40,840 Speaker 1: or suggestions for the show to Crypto at Bloomberg dot net. 289 00:16:44,040 --> 00:16:47,200 Speaker 1: The supervising producer of Bloomberg Crypto is Vicky very Galina. 290 00:16:47,600 --> 00:16:51,280 Speaker 1: Our senior producer is Janet Babin. Our producers are Mohammed 291 00:16:51,280 --> 00:16:54,920 Speaker 1: Faruk and Sharon Barriro. Our associate producers are Ty Butler 292 00:16:55,000 --> 00:16:58,560 Speaker 1: and Moses on Them. Desta wonder At is our engineer. 293 00:16:58,920 --> 00:17:04,119 Speaker 1: Original music by Leo Sidran. I'm Stacy Maria Schmall, we'll 294 00:17:04,160 --> 00:17:04,840 Speaker 1: be back tomorrow.