1 00:00:00,200 --> 00:00:02,520 Speaker 1: Latest interview of Elon Musk audience. 2 00:00:02,560 --> 00:00:07,000 Speaker 2: And as you can see, I'm still trying to monetize hope. 3 00:00:07,320 --> 00:00:09,080 Speaker 1: Yeah, you look like you're in great shape. 4 00:00:09,679 --> 00:00:12,279 Speaker 3: I'm doing great last time, like. 5 00:00:12,240 --> 00:00:14,880 Speaker 1: A sort of use them things going on or what. 6 00:00:15,039 --> 00:00:17,199 Speaker 3: It's Uh, it's our longevity X prize. 7 00:00:17,239 --> 00:00:19,679 Speaker 2: We're we're getting there, but we're getting there, and I 8 00:00:19,679 --> 00:00:22,960 think I think in our last conversation, Uh, you're getting 9 00:00:22,960 --> 00:00:25,640 on board with the idea of extended longevity. 10 00:00:25,719 --> 00:00:30,800 Speaker 1: Yes, uh, yeah. 11 00:00:29,920 --> 00:00:32,920 Speaker 3: Okay that some degree. 12 00:00:32,960 --> 00:00:33,960 Speaker 4: I mean, like I don't know if we want to 13 00:00:34,000 --> 00:00:36,240 ever want to live or whatever, but I think, uh, 14 00:00:37,479 --> 00:00:42,159 health spend and not you know, having an extended period 15 00:00:42,200 --> 00:00:45,280 of senescence where you're just grueling on yourself sounds. 16 00:00:45,000 --> 00:00:46,640 Speaker 1: Like a good idea. We won't to avoid that. 17 00:00:47,280 --> 00:00:47,920 Speaker 3: Yeah. 18 00:00:47,960 --> 00:00:50,920 Speaker 2: So, first off, congratulations on the merger of SpaceX and 19 00:00:51,119 --> 00:00:54,759 x AI ball or move us going to power humanity's 20 00:00:54,759 --> 00:01:01,960 first dicense WARM. So I'm curious, truly truly is uh, 21 00:01:02,000 --> 00:01:04,920 what's your timeline for launching these data centers and how 22 00:01:05,040 --> 00:01:07,200 much bandwidth do you think you can get in the 23 00:01:07,239 --> 00:01:09,879 first year. Give us a sense of the speed at 24 00:01:09,879 --> 00:01:11,239 which you're going to be making this happen. 25 00:01:12,879 --> 00:01:19,239 Speaker 4: Uh. Yeah, so SpaceX is has space space x is 26 00:01:19,280 --> 00:01:23,680 in the quiet period. I can't actually tell you things 27 00:01:23,719 --> 00:01:26,040 that would cause the problems. 28 00:01:26,560 --> 00:01:31,760 Speaker 2: Uh yeah, oh, I'll leave it. 29 00:01:31,799 --> 00:01:32,359 Speaker 3: I'll leave it that. 30 00:01:33,040 --> 00:01:37,480 Speaker 2: I appreciate that, but I can't wait for uh for 31 00:01:37,599 --> 00:01:40,799 the speed. You know, we had a conversation here on 32 00:01:40,879 --> 00:01:45,879 Monday with with Eric Schmidt uh and with one of 33 00:01:45,879 --> 00:01:48,680 the leads from one of the other hyper scalers I 34 00:01:48,920 --> 00:01:51,680 mentioned who. But I'm curious where you feel we are 35 00:01:51,959 --> 00:01:53,680 in recursive self improvement? 36 00:01:54,159 --> 00:01:54,959 Speaker 3: Are we there? 37 00:01:55,040 --> 00:01:58,760 Speaker 2: Do you see rock doing recursive self improvement at this point? 38 00:01:59,159 --> 00:02:01,200 And how what's the timeline for a G I and 39 00:02:01,280 --> 00:02:02,640 a S I give us a sense of that? 40 00:02:05,400 --> 00:02:09,759 Speaker 4: Yeah, I think we've been in recursive improvement for a 41 00:02:09,800 --> 00:02:14,000 while here. You say it's because if you mean by 42 00:02:14,080 --> 00:02:16,120 like recursive self improvement without a human. 43 00:02:15,879 --> 00:02:17,960 Speaker 1: In the loop, is that what you mean? 44 00:02:18,319 --> 00:02:35,520 Speaker 2: I do on the on the AI software side. 45 00:02:28,240 --> 00:02:30,360 Speaker 4: I mean humans are gradually getting less and less in 46 00:02:30,439 --> 00:02:34,479 the loop on the recursive self improvement. So you know, 47 00:02:34,719 --> 00:02:39,680 every successive model is built by the one before it, 48 00:02:41,400 --> 00:02:45,680 so that that that that is happening to a large degree, 49 00:02:45,719 --> 00:02:49,719 but it's it's not yet fully automated. 50 00:02:53,000 --> 00:02:57,159 Speaker 1: It may be there end of this year, but not 51 00:02:57,240 --> 00:02:58,159 later than the next year. 52 00:03:00,599 --> 00:03:02,560 Speaker 3: Do you see a heart take off at that point? 53 00:03:03,759 --> 00:03:05,280 Speaker 1: We're in the heart takele. 54 00:03:05,280 --> 00:03:07,120 Speaker 3: Okay right now? 55 00:03:07,400 --> 00:03:11,360 Speaker 4: Yes, I mean look at I mean, at this point 56 00:03:12,879 --> 00:03:18,120 I go to sleep, there's some passive AI breakthrough, and 57 00:03:18,159 --> 00:03:19,360 when I wake up there's another one. 58 00:03:19,759 --> 00:03:19,960 Speaker 3: Yes. 59 00:03:22,199 --> 00:03:24,719 Speaker 4: Yeah, it's hard to keep track. Honestly, it's a bit 60 00:03:24,719 --> 00:03:25,479 of a headspinner. 61 00:03:25,919 --> 00:03:26,120 Speaker 3: Yeah. 62 00:03:26,159 --> 00:03:27,639 Speaker 2: Well, I think a lot of the head spinning is 63 00:03:27,639 --> 00:03:28,560 happening from you too. 64 00:03:31,319 --> 00:03:33,639 Speaker 1: Yeah. 65 00:03:33,719 --> 00:03:36,240 Speaker 4: Well, you know, Brook stating pretty well and in some metrics, 66 00:03:36,319 --> 00:03:40,000 by some metrics is the best. For example, it's the 67 00:03:40,039 --> 00:03:42,599 best at predicting things to which you know, it's arguably the. 68 00:03:44,639 --> 00:03:49,599 Speaker 1: Best metrics for intelligence. The new Brook four point two 69 00:03:49,719 --> 00:03:51,599 zero is. 70 00:03:50,960 --> 00:03:59,039 Speaker 4: It's really really good. We're currently behind on coding. The 71 00:03:59,080 --> 00:04:01,639 reason I was but like for this was that I 72 00:04:01,800 --> 00:04:04,719 was just in a giant sort of all hands on coding, 73 00:04:04,960 --> 00:04:06,520 just going through all of the things that need to 74 00:04:06,560 --> 00:04:12,199 happen to essentially catch up and exceed our competitors on coding, 75 00:04:14,080 --> 00:04:16,079 which I think I think we'll do. I feel, you know, 76 00:04:16,120 --> 00:04:18,040 we should probably get there by the middle of this year, 77 00:04:20,040 --> 00:04:25,240 and and then I think people don't quite understand just 78 00:04:25,360 --> 00:04:29,199 how much intelligence there will be, or you know, just 79 00:04:29,399 --> 00:04:33,040 how far it will exceed human intelligence to a degree 80 00:04:33,079 --> 00:04:38,160 that is impossible to fully understand. But you could stillly 81 00:04:38,160 --> 00:04:43,240 imagine a situation where we let's say, let's say a 82 00:04:43,240 --> 00:04:50,399 million times more energy is harnessed then all of Earth's 83 00:04:50,480 --> 00:04:55,800 current electricity usage. That would slowly be roughly a millionth 84 00:04:55,839 --> 00:05:01,759 of the Sun's energy output. So essentially, if you increase 85 00:05:01,920 --> 00:05:04,199 us economy by a factor of a million, it's still 86 00:05:04,279 --> 00:05:08,279 roughly a trillion, since we're a trillion of the Sun's energy. 87 00:05:08,319 --> 00:05:11,480 If you increase that's economy and in terms of electricity 88 00:05:11,560 --> 00:05:15,120 usage by roughly a million, you will be roughly one 89 00:05:15,199 --> 00:05:18,439 million only of the Sun's energy harnessed. 90 00:05:19,600 --> 00:05:20,439 Speaker 1: But but what is it? 91 00:05:20,480 --> 00:05:22,800 Speaker 4: What is what is an economy or an intelligence using 92 00:05:22,879 --> 00:05:25,480 a million times more electricity than all of the civilization 93 00:05:26,439 --> 00:05:27,079 think about. 94 00:05:27,000 --> 00:05:30,240 Speaker 1: Or look like or do. It's going to be something 95 00:05:30,480 --> 00:05:31,480 pretty magnificent. 96 00:05:33,680 --> 00:05:38,040 Speaker 4: The challenge will be even vaguely appreciating that level of intelligence. 97 00:05:40,360 --> 00:05:42,639 But it's safe to say, well, it will solve everything 98 00:05:42,680 --> 00:05:45,680 you can possibly think of. Yes, long trip, but you're 99 00:05:45,680 --> 00:05:51,480 being you know, certainly one of them, and I do 100 00:05:51,639 --> 00:05:54,680 enjoy your unrelenting optimism. 101 00:05:55,160 --> 00:05:55,720 Speaker 3: Thank you, Bill. 102 00:05:56,079 --> 00:05:59,399 Speaker 1: I see, I see if you're hope hope. 103 00:05:59,360 --> 00:06:03,040 Speaker 4: Yeah, exactly, you've taken a heart monetizing hope, which is 104 00:06:03,079 --> 00:06:04,079 pretty funny. 105 00:06:04,600 --> 00:06:07,480 Speaker 2: It was, it was, it was Grox. It was grox 106 00:06:07,639 --> 00:06:10,920 marketing advice to me when you roasted beyond right. 107 00:06:13,319 --> 00:06:17,199 Speaker 4: And saying you monetize but if you've been monetizing misery. 108 00:06:17,319 --> 00:06:25,480 Speaker 5: But yes, for sure, Yeah, but yeah, just the we 109 00:06:25,560 --> 00:06:28,920 you have AI and robots are gonna. 110 00:06:31,160 --> 00:06:36,639 Speaker 4: Increase the like economic output or by by so many 111 00:06:36,639 --> 00:06:42,560 olders magitude, we cannot possibly comprehend it. 112 00:06:42,600 --> 00:06:46,600 Speaker 2: We're likely in the very short time to become a 113 00:06:46,639 --> 00:06:50,040 minority than a vast minority than a microscopic minority of 114 00:06:50,079 --> 00:06:51,360 intelligence on this planet. 115 00:06:53,399 --> 00:06:56,199 Speaker 4: Yes, not even on this planet, but in the Solar system. 116 00:06:56,319 --> 00:07:01,279 Yes for sure, because like you, you know, your best 117 00:07:01,279 --> 00:07:07,480 case outcome for Earth for intelligence is roughly one billionth 118 00:07:08,079 --> 00:07:09,959 of the Sun's energy. 119 00:07:10,319 --> 00:07:11,399 Speaker 1: That's your best case. 120 00:07:11,199 --> 00:07:16,120 Speaker 4: Outcome if you if you, if you genertraate intelligence only. 121 00:07:15,959 --> 00:07:20,680 Speaker 6: On Earth, intercept it right, Yes, yes, because roughly one 122 00:07:21,439 --> 00:07:23,600 roughly half of bellion that the Sun's energy hits Earth, 123 00:07:23,639 --> 00:07:26,000 and that's the vast majority of energy that that's out there, 124 00:07:26,800 --> 00:07:29,120 but that would be access. 125 00:07:29,160 --> 00:07:35,439 Speaker 4: So uh, really the intelligence and the Soul system will 126 00:07:35,480 --> 00:07:39,959 be many autismatic tooth greater than the intelligence on Earth itself. 127 00:07:40,839 --> 00:07:45,199 Speaker 2: How ask a question, Elan, how far out can you see? 128 00:07:45,560 --> 00:07:48,920 How many years out can you make reasonable predictions? 129 00:07:49,000 --> 00:07:49,439 Speaker 3: Right now? 130 00:07:55,879 --> 00:07:57,000 Speaker 1: It's hard to verdict. 131 00:07:56,800 --> 00:08:00,959 Speaker 4: The the path exactly is es actually if it because 132 00:08:01,000 --> 00:08:04,519 often things are kind of an S curve or a 133 00:08:04,560 --> 00:08:09,439 series of S curves where it's slow, grows exponentially, hits 134 00:08:09,480 --> 00:08:13,360 Lenia zone and then goes loger with me, that generally 135 00:08:13,399 --> 00:08:16,639 has been what I've seen with the breakthroughs in AI 136 00:08:16,879 --> 00:08:19,279 AI for example, is you'll you'll there'll be some breakthrough, 137 00:08:19,319 --> 00:08:22,360 it'll do h have an S cove, but and then 138 00:08:22,360 --> 00:08:23,839 it looks like it's just going to go to infinity, 139 00:08:23,920 --> 00:08:26,399 but then you hit love rhythmic returns until there's another breakthrough, 140 00:08:28,480 --> 00:08:32,000 So progressing, it's just a sort of series of you know, 141 00:08:32,120 --> 00:08:36,440 sort of overlapping s coves or connect with s coves. 142 00:08:40,559 --> 00:08:42,279 Speaker 2: I mean, there was a point where you could probably 143 00:08:42,360 --> 00:08:44,600 predict out a decade or two decades. 144 00:08:46,080 --> 00:08:58,919 Speaker 1: What are your thoughts now, Okay, this is gonna sound 145 00:08:58,960 --> 00:09:00,360 pretty crazy. 146 00:09:01,159 --> 00:09:06,039 Speaker 2: It's okay, we we've been we've been talking about. 147 00:09:03,720 --> 00:09:16,639 Speaker 4: Your separate acceptive audience to wild prognostications. Yes, i'd say 148 00:09:16,639 --> 00:09:19,360 the economy is ten times this, it's kind of size 149 00:09:19,399 --> 00:09:21,879 in ten years greater than. 150 00:09:22,879 --> 00:09:28,720 Speaker 3: Okay, yeah, you're really saying something. 151 00:09:28,960 --> 00:09:32,919 Speaker 2: Yeah, you'd said triple digit growth in in five plus 152 00:09:33,039 --> 00:09:37,279 years from now on on GDP in ten next the economy. 153 00:09:38,440 --> 00:09:40,039 Speaker 3: But in terms of your ability. 154 00:09:39,679 --> 00:09:42,639 Speaker 4: Like, I feel like that's that's that's a tan X 155 00:09:42,639 --> 00:09:44,960 and roughly ten years. 156 00:09:46,639 --> 00:09:55,200 Speaker 1: I feel as actually. 157 00:09:51,240 --> 00:09:56,759 Speaker 4: A fairly comfortable prediction with there's no if there's like 158 00:09:57,240 --> 00:10:00,000 world War three or something that that could put a 159 00:10:00,080 --> 00:10:04,159 think and those plans of those expectations. Yeah, but in 160 00:10:04,200 --> 00:10:06,799 the absence of World War three, if Connor trends continue, 161 00:10:06,919 --> 00:10:11,559 I would say the the economy tenaxes and ten years. 162 00:10:12,039 --> 00:10:12,399 Speaker 3: Love it. 163 00:10:13,039 --> 00:10:15,200 Speaker 2: Could you give us We had a bunch of a 164 00:10:15,200 --> 00:10:18,600 base on the moon, Yes, and we'll and we'll have 165 00:10:18,759 --> 00:10:21,279 we'll have people on Mars. I have mass drivers on 166 00:10:21,320 --> 00:10:24,519 the moon, Yes, I. 167 00:10:24,440 --> 00:10:26,279 Speaker 1: Think so in ten years. I think I think we'll 168 00:10:26,320 --> 00:10:28,399 have a mass driver in the moon in ten years. 169 00:10:28,559 --> 00:10:29,000 Speaker 3: I love it. 170 00:10:29,279 --> 00:10:35,679 Speaker 2: Gerard k O'Neil's vision being fulfilled. We had four robots 171 00:10:35,720 --> 00:10:39,679 on stage here this year on at the Abundant Summit. 172 00:10:40,039 --> 00:10:42,000 Speaker 3: I look forward to Optimists. 173 00:10:42,240 --> 00:10:46,720 Speaker 2: I'm curious Optimists three timeline and in particular, when can 174 00:10:46,759 --> 00:10:49,639 I buy one or two? When's when do you expect 175 00:10:49,960 --> 00:10:53,120 Optimists to go into commercial for commercial sale or will 176 00:10:53,159 --> 00:10:53,799 you be leasing it? 177 00:10:57,879 --> 00:11:01,840 Speaker 4: Well, we're in the file stages of completion of Optimist three, 178 00:11:02,120 --> 00:11:04,559 which is really going to be by far the most 179 00:11:04,559 --> 00:11:05,879 advanced robot in the world. 180 00:11:05,919 --> 00:11:06,799 Speaker 1: Nothing's even close. 181 00:11:10,840 --> 00:11:13,120 Speaker 4: In fact, I haven't even sent any seen any demos 182 00:11:13,120 --> 00:11:15,759 of robots that are as good as Optimist three. Frankly, 183 00:11:15,879 --> 00:11:18,120 maybe they're out there or their secret or something. I 184 00:11:18,159 --> 00:11:26,399 don't know, but you know, and I have to make 185 00:11:26,440 --> 00:11:29,039 sure I'm saying things that are reasonably public as well. 186 00:11:29,080 --> 00:11:32,519 Speaker 3: Of course, course we're streaming this on x Yeah. 187 00:11:32,720 --> 00:11:38,879 Speaker 4: Okay, this is pretty public and acted. Yes, yeah, I 188 00:11:39,360 --> 00:11:45,919 think we'll start production on Optimus three the summer, but 189 00:11:46,279 --> 00:11:50,759 very slow at first. Yeah, like a you know, the 190 00:11:50,919 --> 00:11:55,480 sort of classic s CO ramp of manufacturing units versus time, 191 00:11:57,240 --> 00:12:01,559 and then probably reached high only production and around someone 192 00:12:01,600 --> 00:12:05,080 next year, and then. 193 00:12:07,039 --> 00:12:11,039 Speaker 1: You know, we'll have off to us for you know, 194 00:12:12,200 --> 00:12:13,279 design clean next year. 195 00:12:13,840 --> 00:12:16,600 Speaker 4: I try to release a new robot design every year 196 00:12:16,799 --> 00:12:18,840 I'm interprove up design every year. 197 00:12:19,279 --> 00:12:21,919 Speaker 2: When when Dave Bundon and I were at the gigafactory, 198 00:12:22,480 --> 00:12:24,519 it was an extraordinary experience, eleven and a half million 199 00:12:24,519 --> 00:12:27,200 square feet for the Tesla, and then I think you 200 00:12:27,200 --> 00:12:29,399 said you're building out nine and a half million square 201 00:12:29,399 --> 00:12:33,639 feet for Optimus there as well, which is which is extraordinary. 202 00:12:35,200 --> 00:12:39,879 Speaker 1: Let's let's put my square feet around on is. Yeah, 203 00:12:40,000 --> 00:12:42,279 I had to be. That'll be quite that. 204 00:12:42,279 --> 00:12:46,879 Speaker 4: That's gonna be a a new factory designed too, like 205 00:12:47,000 --> 00:12:49,279 it's not different from other factories. 206 00:12:50,759 --> 00:12:54,360 Speaker 2: How far before we have robots building robots? I mean 207 00:12:54,480 --> 00:12:57,919 you automated so much of the Giga factory ready where 208 00:12:57,960 --> 00:13:01,720 they're humans playing a small role? Do the robots just 209 00:13:01,759 --> 00:13:04,000 play the role that humans are playing in that regard, 210 00:13:06,799 --> 00:13:07,440 we still have a. 211 00:13:07,399 --> 00:13:12,600 Speaker 4: Lot of humans building things, you know, Tesla direct employees 212 00:13:12,879 --> 00:13:16,480 or building things or like basically people in the factory 213 00:13:16,559 --> 00:13:18,559 or either building or managing people are building. 214 00:13:19,399 --> 00:13:23,279 Speaker 1: It's rough one hundred thousand, so we have a lot 215 00:13:23,320 --> 00:13:27,080 of people. There's a total headcounts around one hundred and fifty. 216 00:13:26,919 --> 00:13:30,120 Speaker 4: K, of of which two thirds are you know, in 217 00:13:30,159 --> 00:13:31,440 the factory at one point or another. 218 00:13:31,840 --> 00:13:33,879 Speaker 1: And then our suppliers is probably. 219 00:13:35,080 --> 00:13:38,840 Speaker 4: Maybe a million or two million people in our suppliers 220 00:13:38,879 --> 00:13:39,240 type of thing. 221 00:13:39,279 --> 00:13:44,240 Speaker 1: So so it's a lot of people. What we do expect, 222 00:13:44,279 --> 00:13:45,120 that is. 223 00:13:44,799 --> 00:13:50,120 Speaker 4: Is that the output per per person at TESLA becomes 224 00:13:50,279 --> 00:13:53,919 very very high. So we're not planning any like layoffs 225 00:13:54,000 --> 00:13:57,679 or reductions at personnel. In fact, we will increase our headcount, 226 00:13:58,919 --> 00:14:02,480 but the output per human that tells us going to 227 00:14:02,519 --> 00:14:05,039 get nutty high. 228 00:14:05,279 --> 00:14:09,039 Speaker 1: When we were like believing, Yeah. 229 00:14:08,600 --> 00:14:12,679 Speaker 2: When we were together, we discussed the idea of sustainable 230 00:14:12,720 --> 00:14:16,440 abundance on our podcast, and you reinforce the idea that 231 00:14:16,480 --> 00:14:19,960 we have a coming age of universal high income, which 232 00:14:20,000 --> 00:14:24,039 has become a point of discussion beyond UBI. But I'm 233 00:14:24,039 --> 00:14:26,519 just wondering if you have any thoughts on how we 234 00:14:26,679 --> 00:14:31,519 get there. Have you reflected that any further? And and 235 00:14:31,559 --> 00:14:34,200 more so, you know, we talked about a time frame 236 00:14:34,240 --> 00:14:36,200 of civil unrest, you know. 237 00:14:36,200 --> 00:14:37,840 Speaker 3: Two three, four, five years. 238 00:14:38,440 --> 00:14:42,240 Speaker 2: Uh, probably a lot of COVID like checks in the 239 00:14:42,240 --> 00:14:46,480 interim until we get to a demonetization, uh and a 240 00:14:46,720 --> 00:14:50,159 you know deflation that leads us to U HI any 241 00:14:50,240 --> 00:14:51,120 more reflections on that? 242 00:14:51,440 --> 00:14:53,360 Speaker 3: So really people need that hope in that vision. 243 00:14:56,840 --> 00:14:59,080 Speaker 1: Yeah, I mean to fixular I don't think we should 244 00:14:59,080 --> 00:15:00,360 be sort of a basement. 245 00:15:00,440 --> 00:15:02,159 Speaker 4: We need to we do need to be careful because 246 00:15:02,879 --> 00:15:05,559 the future is a range of possible outcomes and they're 247 00:15:05,600 --> 00:15:09,600 not all great. But I at this point, I I 248 00:15:10,080 --> 00:15:12,679 do agree with you that it's it's likely to be great. 249 00:15:14,000 --> 00:15:16,399 You know, it's probably eighty said likely, maybe more likely 250 00:15:16,440 --> 00:15:20,720 to be great. And and I do think we'll have 251 00:15:20,840 --> 00:15:23,799 universal han income. We're basically just issue money to people, 252 00:15:24,480 --> 00:15:29,600 you know, and and the really just because the output 253 00:15:29,600 --> 00:15:31,960 of goods and services will so far exceed the money 254 00:15:32,000 --> 00:15:38,559 supply that you know, that that that effectively you have deflation, 255 00:15:38,600 --> 00:15:41,039 because just deflation is just the ratio of the outputs 256 00:15:41,039 --> 00:15:45,360 and goods and services to the money supply. So that 257 00:15:45,440 --> 00:15:49,480 that's so if if the rate of growth of goods 258 00:15:49,480 --> 00:15:51,559 and services par exceeds the rate of growth of the 259 00:15:51,600 --> 00:15:55,440 money supply, which I predict will happen, then you will 260 00:15:55,440 --> 00:15:56,200 have deflation. 261 00:15:57,519 --> 00:16:01,240 Speaker 2: Yes, and a lot of a lot of people spinning 262 00:16:01,279 --> 00:16:03,639 up new companies competing against each other, driving the price 263 00:16:03,679 --> 00:16:08,799 down and increasing the variability and deflation faster and faster. 264 00:16:09,799 --> 00:16:12,440 Speaker 4: Yeah, it's basically AI and Robot's going to make SMAR 265 00:16:12,480 --> 00:16:16,200 stuff and for any services that they will. 266 00:16:16,039 --> 00:16:19,120 Speaker 1: Actually run out of things to do for the humans. 267 00:16:20,879 --> 00:16:22,480 Speaker 4: They'll just run out of things that do the humans, 268 00:16:22,519 --> 00:16:26,440 and then they well, you know, there's. 269 00:16:25,879 --> 00:16:28,600 Speaker 1: Only so much that humans can even express that they want. 270 00:16:29,919 --> 00:16:31,639 Speaker 4: So you go back to my example of like, if 271 00:16:31,639 --> 00:16:35,320 you go a million times greater than the most economy, 272 00:16:35,399 --> 00:16:39,639 you've long since saturated all human desire. 273 00:16:42,759 --> 00:16:46,480 Speaker 1: You know, like maybe like if you go to a thousand. 274 00:16:46,159 --> 00:16:49,759 Speaker 4: Times more than our card economy a thousand times, you 275 00:16:50,120 --> 00:16:53,600 probably have already saturated saturated human anything people can think 276 00:16:53,639 --> 00:16:54,159 of that they want. 277 00:16:55,200 --> 00:16:58,559 Speaker 2: So do you think the value of money is going 278 00:16:58,559 --> 00:16:59,960 to significantly decrease? 279 00:17:00,080 --> 00:17:06,640 Speaker 3: Will it? Will we go post capitalist? Yeah? 280 00:17:06,640 --> 00:17:10,039 Speaker 4: I think money will stop being relevant at some point 281 00:17:10,079 --> 00:17:10,640 in the future. 282 00:17:11,359 --> 00:17:12,920 Speaker 3: So just as you're becoming. 283 00:17:12,519 --> 00:17:18,119 Speaker 4: It's probably something like an in Bank's culture sort of future, 284 00:17:20,599 --> 00:17:23,799 And I think the AI down the road will really. 285 00:17:25,640 --> 00:17:28,000 Speaker 1: Not use human currency. 286 00:17:28,079 --> 00:17:32,039 Speaker 4: It will just care about power and mass, wattage and tonnage. 287 00:17:32,680 --> 00:17:36,000 Speaker 2: Yeah, it's kind of ironic then, right, just as you're 288 00:17:36,000 --> 00:17:40,440 becoming a multi trillionaire, money starts to have less value. 289 00:17:43,480 --> 00:17:50,880 Speaker 1: Yeah, pretty much. Uh, yeah, you know that's all the stuff. 290 00:17:50,880 --> 00:17:54,279 Speaker 4: It's just really just trillion just represents like some percentage 291 00:17:54,319 --> 00:17:59,200 ownership and companies that I you know, boilt and it's 292 00:17:59,200 --> 00:18:01,640 not like sitting in Oh god, it's just literally I 293 00:18:01,680 --> 00:18:02,799 don't know, a percentage of the companies. 294 00:18:02,839 --> 00:18:05,759 Speaker 1: The companies are doing lots of useful things. The value 295 00:18:05,839 --> 00:18:07,480 the company grows percentage of. 296 00:18:07,480 --> 00:18:10,200 Speaker 4: The companies, and that's the sums up to that number, 297 00:18:10,200 --> 00:18:11,279 which seems high. 298 00:18:11,519 --> 00:18:14,960 Speaker 2: Yeah, you know, it's I was interviewed by somebody who 299 00:18:15,000 --> 00:18:18,240 was asking me about your your drive, what drives you? 300 00:18:18,839 --> 00:18:24,240 And I said, Elon's driven to solve problems. He's driven 301 00:18:24,319 --> 00:18:28,519 to make life in the world better by just solving 302 00:18:28,519 --> 00:18:32,079 the biggest problems over and over and over again. And 303 00:18:32,119 --> 00:18:34,400 if someone else was solving them, he wouldn't need to. 304 00:18:34,960 --> 00:18:37,680 But no one else is solving them. So I just 305 00:18:37,680 --> 00:18:40,119 want to say, you know, thank you for that, Tom, 306 00:18:40,319 --> 00:18:40,839 thank you for that. 307 00:18:41,440 --> 00:18:41,880 Speaker 1: You're welcome. 308 00:18:47,880 --> 00:18:49,480 Speaker 3: I am curious. 309 00:18:49,519 --> 00:18:53,720 Speaker 2: Do you think that democracy and our modern institutions can 310 00:18:53,799 --> 00:18:57,680 keep up with this supersonic tsunami coming our way? Are 311 00:18:57,680 --> 00:19:00,599 they just gonna fall in its way? They're just going 312 00:19:00,680 --> 00:19:02,599 to break down? How do we deal? 313 00:19:07,079 --> 00:19:14,759 Speaker 1: M I mean, it's cool the singularity for a reason. 314 00:19:14,839 --> 00:19:17,359 Speaker 4: You know that it's hard to predict what happens, and 315 00:19:17,440 --> 00:19:18,880 that in the singularity. 316 00:19:18,920 --> 00:19:21,359 Speaker 1: I mean, CrOx logo is the singularity. 317 00:19:21,480 --> 00:19:23,480 Speaker 3: I love it. It's a beautiful logo behind you, by 318 00:19:23,480 --> 00:19:24,359 the way, it's gorgeous. 319 00:19:24,519 --> 00:19:29,720 Speaker 4: Yeah, thank you. Yeah, it's so the light. The light 320 00:19:30,279 --> 00:19:34,200 that the the halo around a black hole is the 321 00:19:34,240 --> 00:19:36,000 mass and ladder falling in type of thing. 322 00:19:37,720 --> 00:19:38,119 Speaker 1: It's hard. 323 00:19:38,240 --> 00:19:42,359 Speaker 4: It's hard to know what happens inside the singularity, but 324 00:19:42,440 --> 00:19:44,240 it's going to be very interesting, like we're going to 325 00:19:44,319 --> 00:19:46,279 live in the future will be very entertaining. 326 00:19:46,480 --> 00:19:47,920 Speaker 1: Of that, I am confident. 327 00:19:50,319 --> 00:19:56,000 Speaker 4: And I think also like AI and robotics also the 328 00:19:56,039 --> 00:19:58,599 only way we're going to solve our budget deficit frankly, 329 00:19:58,680 --> 00:20:06,200 and not just go bankrupt as a country. So I'm 330 00:20:06,279 --> 00:20:08,519 I'm you know, you've had an influence on me and 331 00:20:08,519 --> 00:20:10,920 that I'm like, I've just decided to be more optimistic. 332 00:20:11,000 --> 00:20:12,839 Speaker 1: It's like we just should be more optimistic. 333 00:20:12,920 --> 00:20:13,200 Speaker 3: Thank you. 334 00:20:13,240 --> 00:20:14,119 Speaker 1: Pal. You know that I. 335 00:20:14,079 --> 00:20:16,519 Speaker 4: Wasn't an optimist, but I was like, maybe running a 336 00:20:16,559 --> 00:20:18,279 little too much around the negative stuff. 337 00:20:18,680 --> 00:20:22,160 Speaker 2: It's all it's all upside being an optimist and a 338 00:20:22,200 --> 00:20:23,039 realist a little bit. 339 00:20:23,920 --> 00:20:27,319 Speaker 4: Yeah, yeah, yeah, exactly. You don't want to be complacent 340 00:20:27,519 --> 00:20:29,079 or just assume everything's. 341 00:20:28,720 --> 00:20:29,200 Speaker 1: Going to go well. 342 00:20:29,240 --> 00:20:32,480 Speaker 4: But try to make it go well. 343 00:20:33,559 --> 00:20:35,640 Speaker 1: But I mean, there will be some pretty amazing things 344 00:20:35,640 --> 00:20:36,119 that happen. 345 00:20:36,480 --> 00:20:40,440 Speaker 4: So if you've got humanoid robots that are that have 346 00:20:40,559 --> 00:20:45,599 very high dexterity and uh and and and are incredibly smart, 347 00:20:45,680 --> 00:20:49,440 it means that everyone on Earth will have access to 348 00:20:49,559 --> 00:20:54,880 better medical care than than than the richest person on Earth, which, 349 00:20:54,880 --> 00:20:56,599 by the way, I would say, like, you know, if 350 00:20:56,599 --> 00:20:58,960 I'm allegedly the rich person, would I think, actually, sovereigns 351 00:20:59,000 --> 00:21:01,680 are richer than me, by the way, But it's like, 352 00:21:02,240 --> 00:21:04,079 you know, I like I had to have like a 353 00:21:04,240 --> 00:21:06,519 like an ex surgery three times because the first two 354 00:21:06,839 --> 00:21:07,839 ones were done wrong. 355 00:21:08,759 --> 00:21:11,440 Speaker 1: You know, like this is I'm like what that you know? 356 00:21:13,839 --> 00:21:17,839 Speaker 4: So and I'm like my back still hurts a little bit. 357 00:21:17,920 --> 00:21:20,680 I'm like, can AI police sew back fan? 358 00:21:20,759 --> 00:21:21,640 Speaker 1: That would be a huge win. 359 00:21:21,960 --> 00:21:25,720 Speaker 3: And I think it well, yep, so you. 360 00:21:25,759 --> 00:21:26,720 Speaker 1: Know that fan sucks. 361 00:21:26,799 --> 00:21:29,519 Speaker 4: I think that's maybe like you know, sometimes why if 362 00:21:29,519 --> 00:21:31,640 people get grumpy when they get old, this because back faint. 363 00:21:32,480 --> 00:21:34,240 Speaker 1: It's like you back bets all the time and you 364 00:21:34,240 --> 00:21:35,599 can't sleep while you're gonna be bruffy. 365 00:21:35,920 --> 00:21:36,319 Speaker 3: We had. 366 00:21:37,920 --> 00:21:40,359 Speaker 2: We had David Sinclair on stage this morning and he's 367 00:21:40,400 --> 00:21:43,519 going into human trials with ER one hundred is partial 368 00:21:43,640 --> 00:21:47,279 pagetic reprogramming and uh one of the one of the 369 00:21:47,319 --> 00:21:52,400 papers recently published shows it enables joint repair and so 370 00:21:52,920 --> 00:21:56,359 back pain may be one of the things that it eliminates. 371 00:21:56,400 --> 00:21:58,559 Speaker 1: So that would be amazing. 372 00:21:58,960 --> 00:22:02,839 Speaker 4: Yeah, for sure, for surely average happened to several pre humans. 373 00:22:02,839 --> 00:22:04,480 Speaker 1: Would just go up from tremendously if you. 374 00:22:04,440 --> 00:22:07,799 Speaker 4: Just saw back fane, because it's not a question of 375 00:22:07,160 --> 00:22:09,880 of if you'll get back pain as when you know 376 00:22:10,039 --> 00:22:10,799 you'll get back pain. 377 00:22:12,279 --> 00:22:13,920 Speaker 1: I keep on a good design. 378 00:22:14,160 --> 00:22:15,880 Speaker 2: I keep on inviting you to come down to Fountain 379 00:22:15,920 --> 00:22:19,160 Life in uh in Dallas, will U will help you out. 380 00:22:19,200 --> 00:22:20,480 But sometime when you have. 381 00:22:20,480 --> 00:22:22,920 Speaker 4: To you have like what do you I understand like 382 00:22:22,960 --> 00:22:25,440 that you can get like mrin catscans and everything, but 383 00:22:25,480 --> 00:22:26,279 like what do you do with that? 384 00:22:26,319 --> 00:22:29,559 Speaker 3: You know, it's like happy to happy to send you 385 00:22:29,599 --> 00:22:33,920 the list. I'll d M you the list. Yeah exactly. 386 00:22:36,799 --> 00:22:41,160 Speaker 2: Uh, you know, listen, you've been so generous. Next up 387 00:22:41,160 --> 00:22:44,680 on stage with me is one of another great Moonshot entrepreneur, 388 00:22:44,680 --> 00:22:48,799 Ben Lamb, who runs Colossal, the the extinction Company. Uh, 389 00:22:49,079 --> 00:22:52,119 you know, the Wily Mammoth and fifteen other species. I 390 00:22:52,440 --> 00:22:54,680 heard I heard you say you might want to many 391 00:22:54,720 --> 00:22:55,319 Willly mammoth. 392 00:22:55,400 --> 00:22:56,559 Speaker 3: Is that is that true? 393 00:22:56,680 --> 00:22:56,880 Speaker 1: Yeah? 394 00:22:56,920 --> 00:22:58,359 Speaker 4: I think it would be really cool to have a 395 00:22:58,400 --> 00:23:00,000 pet minister Willie Mammoth. 396 00:23:00,240 --> 00:23:01,559 Speaker 1: That would be pretty epic. 397 00:23:02,240 --> 00:23:04,640 Speaker 2: Okay, I'll put a word in with you for you 398 00:23:04,720 --> 00:23:05,559 with with with. 399 00:23:07,000 --> 00:23:09,440 Speaker 4: That would be adorable little things that's running around, trumpeting 400 00:23:09,440 --> 00:23:13,039 away and it's like, look at the it's a grateful bed. 401 00:23:13,880 --> 00:23:14,400 Speaker 3: Amazing. 402 00:23:16,079 --> 00:23:19,000 Speaker 4: I can somebody please do Jurassic Park in realize? Well, 403 00:23:19,240 --> 00:23:21,519 I definitely got even if there was some risk of death. 404 00:23:23,160 --> 00:23:23,799 Speaker 1: Be super cool. 405 00:23:25,000 --> 00:23:27,079 Speaker 2: I think if anybody is going to do that, it's 406 00:23:27,400 --> 00:23:30,920 it's Ben Lamb and Colossal. He's really he's engineering living 407 00:23:31,000 --> 00:23:33,160 life products. Someone asked him recently if he can make 408 00:23:33,200 --> 00:23:35,440 a Pikachu and he said probably. 409 00:23:37,799 --> 00:23:43,440 Speaker 4: Yeah, Well Jurassic Jurassic World whatever, that would be. 410 00:23:43,359 --> 00:23:45,640 Speaker 3: Great, all right, I'll ask him. Yeah. 411 00:23:46,039 --> 00:23:49,680 Speaker 2: Elon, so grateful for you coming and joining us and sharing. 412 00:23:50,279 --> 00:23:51,759 Thank you, Thank you, my friend. 413 00:23:52,000 --> 00:23:53,440 Speaker 3: Let's give it up for Elon Musk. 414 00:24:00,200 --> 00:24:03,039 Speaker 1: Thanks for listening. See you in the next episode.