1 00:00:00,200 --> 00:00:03,080 Speaker 1: Where's the room for them on the sidewalks? Or are 2 00:00:03,080 --> 00:00:05,679 you going to build something? Is that the idea that 3 00:00:05,799 --> 00:00:10,039 we have behind a boring company to go underground for 4 00:00:10,080 --> 00:00:12,039 the robots to walk around or fly above? 5 00:00:12,080 --> 00:00:13,359 Speaker 2: Where's the room for them? 6 00:00:13,400 --> 00:00:17,879 Speaker 3: Well? Actually, actually you can. You can fit all humanity 7 00:00:18,480 --> 00:00:22,960 on the poor in the city. That's how small humans 8 00:00:22,960 --> 00:00:26,760 are and octopus doesn't mind being pastically how much room. 9 00:00:26,640 --> 00:00:27,199 Speaker 4: Do people take? 10 00:00:27,359 --> 00:00:29,440 Speaker 3: And and this is why I think just having it 11 00:00:29,440 --> 00:00:31,320 in the back of your mind that all eight billion 12 00:00:31,359 --> 00:00:37,479 people on Earth can fit on one floor in the 13 00:00:37,520 --> 00:00:38,520 city of New York. 14 00:00:38,640 --> 00:00:41,960 Speaker 4: So play. Another way I think meet is if you're find. 15 00:00:41,759 --> 00:00:44,759 Speaker 3: A cross the country and you'll go is to drop 16 00:00:44,759 --> 00:00:47,600 a water blapoon on someone you you will fail. 17 00:00:49,079 --> 00:00:50,000 Speaker 4: Because it's empty. 18 00:00:50,240 --> 00:00:52,280 Speaker 1: We used to do that when we were in eighth grade. 19 00:00:53,880 --> 00:00:59,280 We got them though. Yeah, So so Kaitlin, don't worry. 20 00:00:59,359 --> 00:01:01,439 There's enough for so One of the things I think 21 00:01:01,479 --> 00:01:04,719 about when you talk about Optimus is that there are 22 00:01:04,760 --> 00:01:07,560 so many functions that it can perform. What's going to 23 00:01:07,560 --> 00:01:09,959 be left for humans? Is there a job that humans 24 00:01:10,000 --> 00:01:12,319 going to have other than just living? And you know 25 00:01:12,480 --> 00:01:16,680 this great abundance that you're going to create what's going 26 00:01:16,719 --> 00:01:17,120 to happen? 27 00:01:17,159 --> 00:01:20,200 Speaker 3: Well, I think there is this question of coming, Oh 28 00:01:20,680 --> 00:01:24,480 how you write me? If the robots can do everything? 29 00:01:24,840 --> 00:01:29,000 But we see lots of example where even though machines 30 00:01:29,040 --> 00:01:34,519 can do much better humans sool like athletic experts, or 31 00:01:35,159 --> 00:01:38,079 let's take up a mental school like chess, computers are 32 00:01:38,079 --> 00:01:41,159 so good at your phone not even connected to the internet, 33 00:01:41,239 --> 00:01:46,560 can beat magnus calls easily, but yet chess is that full. 34 00:01:46,480 --> 00:01:47,959 Speaker 4: Time huts and popularity. 35 00:01:48,480 --> 00:01:53,120 Speaker 3: So really, machines being better than something doesn't mean we 36 00:01:53,840 --> 00:01:56,239 drives that doing. 37 00:01:55,959 --> 00:02:00,400 Speaker 1: The functions that you see these robots doing is what 38 00:02:00,400 --> 00:02:01,200 what are they going to do? 39 00:02:01,319 --> 00:02:02,879 Speaker 2: And why is that? How are we going to have 40 00:02:02,920 --> 00:02:05,040 a billion of them? And we have eight billion people. 41 00:02:05,480 --> 00:02:07,519 Speaker 3: Look like it's gonna take us a minute to make 42 00:02:07,560 --> 00:02:10,080 a billion robots. So you know, I don't love you, brace, 43 00:02:10,560 --> 00:02:11,759 but but I think we will. 44 00:02:11,800 --> 00:02:16,159 Speaker 5: There will ultimately be billions, billions of human robots on 45 00:02:16,719 --> 00:02:19,439 a way to think that is, who want to not 46 00:02:19,639 --> 00:02:23,879 one their own postal R two D two T three 47 00:02:23,879 --> 00:02:28,039 p oo like pretty much goos you know three po. 48 00:02:28,360 --> 00:02:32,039 Speaker 4: Even better like your personal help for buddy robot. 49 00:02:32,319 --> 00:02:35,240 Speaker 3: It would be great, Uh, you could teach you teach 50 00:02:35,240 --> 00:02:38,120 your kids taking balk from a walk, get the groceries, 51 00:02:38,360 --> 00:02:42,039 you know, chat cushats, you know, protect you where need 52 00:02:42,199 --> 00:02:45,919 is great? And then how many robots would it be 53 00:02:46,240 --> 00:02:50,479 an industry providing products? So it's probably three or four 54 00:02:50,479 --> 00:02:53,960 to one relative to humans, which which suggests that total 55 00:02:54,080 --> 00:02:57,520 number of robots will be somewhere around maybe his highest 56 00:02:57,520 --> 00:02:58,000 forty billion. 57 00:02:58,039 --> 00:03:01,599 Speaker 4: Don't forty forty billion? Maybe give you thirty billion robots. 58 00:03:01,800 --> 00:03:02,639 It's a lot. 59 00:03:02,400 --> 00:03:07,240 Speaker 1: So the Japanese company is Kokop. Those robots that are 60 00:03:07,280 --> 00:03:11,039 used in manufacturing are fifty one hundred thousand, one hundred 61 00:03:11,039 --> 00:03:14,159 and fifty thousand. And you're describing a robot as twenty 62 00:03:14,199 --> 00:03:16,479 thousand dollars. We have to have a million a year 63 00:03:16,560 --> 00:03:19,159 to do that, with ten million a year to get 64 00:03:19,159 --> 00:03:22,240 to twenty thousand dollars. And is that something that's going 65 00:03:22,280 --> 00:03:24,360 to be affordable for people? Are they going to be rented, 66 00:03:24,400 --> 00:03:26,680 They're going to be purchased corporations. Are we going to 67 00:03:26,719 --> 00:03:28,759 get some kind of carried interest once they buy them 68 00:03:28,800 --> 00:03:29,199 from us? 69 00:03:29,439 --> 00:03:30,879 Speaker 2: How is that going to work? Or don't we have 70 00:03:30,919 --> 00:03:31,520 the model yet? 71 00:03:31,719 --> 00:03:34,560 Speaker 3: My rough guess is that the costs to get sold 72 00:03:34,800 --> 00:03:39,120 their labor materials for optimus after we reach a million 73 00:03:39,199 --> 00:03:41,800 units of study state production, So call it a year 74 00:03:41,840 --> 00:03:44,479 after reaching a million units a year because it takes 75 00:03:44,520 --> 00:03:45,960 a lot of effort to. 76 00:03:45,919 --> 00:03:48,120 Speaker 4: Improve the cost. 77 00:03:48,599 --> 00:03:51,360 Speaker 3: But at that point, I would expect the bullet the 78 00:03:51,520 --> 00:03:54,479 labor materials to be twenty to thirty thousand dollars in 79 00:03:54,520 --> 00:03:56,400 count year dollars, and that's a pretty I think that's 80 00:03:56,400 --> 00:03:57,520 a pretty safe estimate. 81 00:03:57,680 --> 00:04:01,360 Speaker 1: When you're improving costs with cars, your idea is that 82 00:04:01,479 --> 00:04:04,759 everything we buy from other people to use in our cars, 83 00:04:05,199 --> 00:04:08,120 we know exactly how much it costs, and therefore we 84 00:04:08,159 --> 00:04:10,159 can tell someone how much we're going to pay for 85 00:04:10,199 --> 00:04:12,479 what we're buying from them, and if it doesn't, if 86 00:04:12,479 --> 00:04:15,360 they're making too much, then we make that stuff ourselves. 87 00:04:15,520 --> 00:04:17,480 Is that the same kind of idea we have in 88 00:04:17,560 --> 00:04:19,759 this robots where we're going to it should be much 89 00:04:19,759 --> 00:04:20,680 simpler to make in. 90 00:04:20,560 --> 00:04:22,759 Speaker 2: A car or my rom because in a hand. 91 00:04:22,600 --> 00:04:25,360 Speaker 3: That the hand is, the hand is extremely complex. There 92 00:04:25,360 --> 00:04:29,360 are fifty actuators in the hand in the hand and 93 00:04:29,399 --> 00:04:32,720 for actuators the motor, yeah, actuator is the motor Gearbucks 94 00:04:32,800 --> 00:04:35,680 and par electronics, So that's one hundred per robot. Really 95 00:04:37,319 --> 00:04:41,639 a lot of loot actuators and sensors. Approximately, there's a 96 00:04:41,680 --> 00:04:42,519 lot of complexity. 97 00:04:42,600 --> 00:04:44,560 Speaker 1: Why is that important? Why is it important that we 98 00:04:44,600 --> 00:04:45,639 have such a complex hand. 99 00:04:45,639 --> 00:04:48,279 Speaker 3: In order to do dexterous tasks, you have to have 100 00:04:48,480 --> 00:04:53,000 hand with the sensitivity, precision, and degrees of freedom of 101 00:04:53,040 --> 00:04:55,680 a human hand, you know. The So something that is 102 00:04:56,439 --> 00:04:59,319 we find easy to do, like kick up a screwdriver 103 00:04:59,600 --> 00:05:04,759 or ranch or even say thread a needle or play 104 00:05:04,759 --> 00:05:08,600 the guitar, actually require a lot of dexterity. But one 105 00:05:08,639 --> 00:05:11,360 of the reasons we think we can achieve sustainable abundance, 106 00:05:11,399 --> 00:05:14,759 which is sort of the news of the revised version 107 00:05:14,800 --> 00:05:17,800 of the company's goal, because it was accelerate sustainable energy, which, 108 00:05:17,879 --> 00:05:19,600 as you mentioned, we've we've done that. 109 00:05:19,680 --> 00:05:23,480 Speaker 4: Our new all this sustainable abundance. So that's abundance for. 110 00:05:23,560 --> 00:05:26,360 Speaker 3: All, and but in a way that is sustainable that 111 00:05:26,399 --> 00:05:29,360 does not destroy any of the national worlds. 112 00:05:29,480 --> 00:05:30,720 Speaker 2: How do we decide who gets what? 113 00:05:31,199 --> 00:05:33,399 Speaker 1: Somebody wants to buy my house, they can just come 114 00:05:33,399 --> 00:05:34,639 in and start living there. 115 00:05:34,720 --> 00:05:38,560 Speaker 4: Well I'm not sure why. I mean, I do have 116 00:05:38,560 --> 00:05:39,759 a nice house, so. 117 00:05:42,079 --> 00:05:45,519 Speaker 3: I can certainly see to see the appeal the robots 118 00:05:45,519 --> 00:05:47,439 will bill to make anyone else you know, as long 119 00:05:47,480 --> 00:05:50,879 as you don't just on it being in a particular location, 120 00:05:50,959 --> 00:05:53,439 you can have Robsill be able to build you a counsel. 121 00:05:53,839 --> 00:05:57,560 So but the reason for pandect dexterity is we won't 122 00:05:57,560 --> 00:06:02,959 be able to do like surgery and precision medical actions. 123 00:06:03,079 --> 00:06:06,480 Speaker 4: So imagine a world where everyone has access to the best. 124 00:06:06,279 --> 00:06:10,279 Speaker 3: Search literally everyone, and Optimus will have the level of 125 00:06:10,319 --> 00:06:13,839 precision that is frankly superhuman and will be able to 126 00:06:13,879 --> 00:06:18,839 do medical procedures of very sophisticated medical procedures, any medical procedure, 127 00:06:18,839 --> 00:06:21,360 perhaps things that really humans can't even do because they're 128 00:06:21,360 --> 00:06:22,800 too they're too difficult. 129 00:06:22,680 --> 00:06:24,519 Speaker 4: And that will be available to anyone. 130 00:06:25,000 --> 00:06:29,279 Speaker 3: People often talk about liminating poverty in providing great medical care, 131 00:06:29,360 --> 00:06:32,160 but they never actually have a solution, and money doesn't 132 00:06:32,160 --> 00:06:34,600 solve it because there are only so many it's a 133 00:06:34,639 --> 00:06:36,959 very limited number of great doctors and surgeons. 134 00:06:37,879 --> 00:06:40,040 Speaker 4: They don't grow on trees, but now they don't get 135 00:06:40,040 --> 00:06:40,800 built in factories. 136 00:06:40,879 --> 00:06:43,600 Speaker 1: So I sent you a year or two ago an 137 00:06:43,680 --> 00:06:45,759 article about a young man who was an interview in 138 00:06:45,839 --> 00:06:47,839 Barns and he was thirty three at the time, and 139 00:06:47,879 --> 00:06:50,800 he'd become a portfolio manager and he lost his legs 140 00:06:50,920 --> 00:06:54,240 to a It was a Paralympic performer and he lost 141 00:06:54,279 --> 00:06:56,639 his legs to man eating bacteria. And I said, is 142 00:06:56,639 --> 00:06:58,120 there anything we can do to get him out of 143 00:06:58,120 --> 00:07:01,079 the wheelchair? And you said yes to is in three 144 00:07:01,160 --> 00:07:04,199 or four years we can give him an optimus body 145 00:07:04,639 --> 00:07:09,319 and then we can use you know, transistors in his head, 146 00:07:09,360 --> 00:07:12,000 in his brain, so let him function as a normal person, 147 00:07:12,360 --> 00:07:15,439 dance and sing and walk and run. Have we been 148 00:07:15,480 --> 00:07:17,360 able to make progress in that area. 149 00:07:17,439 --> 00:07:20,319 Speaker 3: Yeah, So that's a compost of bovine companies. One is 150 00:07:20,680 --> 00:07:23,480 being neural Link and the other being Tesla. Neural Link 151 00:07:23,519 --> 00:07:26,319 is also making good progress. Now has I think over 152 00:07:26,439 --> 00:07:30,759 ten patients with neuralink implants and these people who didn't 153 00:07:30,759 --> 00:07:32,920 have the ability to remove their farms or legs in 154 00:07:32,959 --> 00:07:35,680 some cases were completely locked in like speck step hooking. 155 00:07:35,959 --> 00:07:39,519 And they can now communicate and think as quickly, almost 156 00:07:39,519 --> 00:07:43,040 as quickly as we're communicating right now, which is very cool. 157 00:07:43,079 --> 00:07:45,240 And that's that's going to continue to accelerate. What we 158 00:07:45,240 --> 00:07:49,040 can do is a neuralink implant that is taking signals 159 00:07:49,040 --> 00:07:52,920 from the motor cortex brain and also receiving signals from 160 00:07:52,959 --> 00:07:56,800 the semato quarters. Amatter of sensory cortex and then give 161 00:07:56,879 --> 00:08:01,439 someone uh who's lost their legs fimis legs and so 162 00:08:01,480 --> 00:08:04,199 you I mean, we're really getting like the six million 163 00:08:04,199 --> 00:08:06,040 dollar man here, I mean from back in the day. 164 00:08:06,120 --> 00:08:07,319 Speaker 4: I don't know if you watched that show, but I 165 00:08:07,319 --> 00:08:07,600 watched it. 166 00:08:08,040 --> 00:08:08,879 Speaker 2: Watch I watched it. 167 00:08:09,600 --> 00:08:10,680 Speaker 4: Yeah, that was pretty hmmm. 168 00:08:10,839 --> 00:08:15,279 Speaker 3: Yeah, And we can actually give someone superhuman cybor capabilities 169 00:08:15,680 --> 00:08:17,680 like the six million dollar man, but less than six 170 00:08:17,759 --> 00:08:20,800 million dollars in the next day at age. I mean 171 00:08:20,839 --> 00:08:23,319 six million dollars back then was fourteen in these days 172 00:08:23,360 --> 00:08:27,720 it's leg millon. But we're much less than that. I mean, 173 00:08:27,800 --> 00:08:30,000 like for something that that would be reasonable and affordable, 174 00:08:30,079 --> 00:08:33,240 you know, it might be well like sixty thousand dollars 175 00:08:33,240 --> 00:08:35,039 type of thing, and you can take signals from neural 176 00:08:35,080 --> 00:08:37,320 laying to mind that would be transmitting to legs, and 177 00:08:37,360 --> 00:08:40,799 transmit those to the attached optimous robot legs and he 178 00:08:40,840 --> 00:08:43,440 would actually be able to run fast than a human, 179 00:08:43,919 --> 00:08:46,120 just like six million dollar. 180 00:08:45,960 --> 00:08:49,679 Speaker 1: Man in ruralin sounds really exciting, It sounds unbelievably excited. 181 00:08:49,879 --> 00:08:54,200 Speaker 2: The switch to XAI. So three years ago, you. 182 00:08:54,159 --> 00:08:57,200 Speaker 1: Were here and you would either just purchased or about 183 00:08:57,240 --> 00:09:01,320 to purchase, you know, Twitter, which you've renamed X. And 184 00:09:01,360 --> 00:09:03,240 you were widely criticized for that. 185 00:09:03,240 --> 00:09:04,639 Speaker 4: And yes it was right. 186 00:09:05,480 --> 00:09:08,440 Speaker 1: In fact, you even mentioned here on stage that you 187 00:09:08,480 --> 00:09:11,120 didn't want to have anyone else be angry at you 188 00:09:11,120 --> 00:09:15,000 because you had enough people trying to kill you already totally. 189 00:09:15,639 --> 00:09:18,759 So you were buying you were buying X and it 190 00:09:18,799 --> 00:09:20,919 was forty two billion dollars I think, and you were 191 00:09:20,960 --> 00:09:23,000 in the process of raising money. And I called you 192 00:09:23,120 --> 00:09:25,360 up and you hadn't called me to solicit me. And 193 00:09:25,399 --> 00:09:27,960 I called you up and I said, I would like 194 00:09:28,000 --> 00:09:30,320 to invest with you one hundred million dollars in this 195 00:09:31,279 --> 00:09:34,000 and it was sixty million dollars for one of our 196 00:09:34,000 --> 00:09:37,879 funds and forty million for me. And and you said really, 197 00:09:38,159 --> 00:09:42,840 said yeah, You said really, And I said yeah. 198 00:09:43,000 --> 00:09:45,279 Speaker 2: And you told me that you thought. 199 00:09:45,799 --> 00:09:48,360 Speaker 1: I would make a double and I said, well, I 200 00:09:48,399 --> 00:09:51,159 hope so, but to me, it felt like you made 201 00:09:51,240 --> 00:09:54,720 us eight billion dollars in Tesla and be not very 202 00:09:54,759 --> 00:09:57,720 appropriate if I didn't support this new venture that you 203 00:09:57,759 --> 00:10:00,879 were doing. So we invested and then the day that 204 00:10:00,919 --> 00:10:06,639 we pay the money, we marked it down seventy So man, this. 205 00:10:06,519 --> 00:10:08,360 Speaker 3: Is this is how I know your a true friend 206 00:10:08,720 --> 00:10:13,960 run because this is a you know, I do regard 207 00:10:14,000 --> 00:10:14,440 to you as. 208 00:10:14,639 --> 00:10:16,840 Speaker 4: A as a true, true, entrusted friend. 209 00:10:16,960 --> 00:10:20,480 Speaker 3: And you know, the test of friendship I got more 210 00:10:20,519 --> 00:10:27,759 to the storyship. The test of friendship is is who 211 00:10:27,799 --> 00:10:30,080 supports you when the chips are down and the tans 212 00:10:30,080 --> 00:10:31,480 are tough and everyone's against you. 213 00:10:31,559 --> 00:10:33,240 Speaker 4: That's a real friend and that's you run. 214 00:10:33,480 --> 00:10:33,840 Speaker 2: Thank you. 215 00:10:34,279 --> 00:10:37,159 Speaker 1: So so we did invest that one hundred mark down 216 00:10:37,200 --> 00:10:39,919 to thirty and then about a year later we started 217 00:10:39,919 --> 00:10:42,840 getting phone calls from edge funds who always seem to 218 00:10:42,879 --> 00:10:44,159 know things we're not supposed to know. 219 00:10:45,399 --> 00:10:48,600 Speaker 4: Yeah, yeah, they do, right, And. 220 00:10:48,519 --> 00:10:51,120 Speaker 1: They started saying, I'd like to buy your stock for 221 00:10:51,240 --> 00:10:52,799 what you paid for it, and I said, I think 222 00:10:52,840 --> 00:10:55,919 I'd rather wait to say in which I did. And 223 00:10:55,960 --> 00:10:59,799 then and then change the name to X and change 224 00:10:59,799 --> 00:11:04,639 the configuration of business. And then from that you bought 225 00:11:05,120 --> 00:11:08,360 Twitter and it came together in a social network along 226 00:11:08,440 --> 00:11:11,279 with this, and all of a sudden, we have a 227 00:11:11,279 --> 00:11:14,960 business that has incredible data. Did you buy this for 228 00:11:15,039 --> 00:11:18,120 the data that no one knew about? But their data 229 00:11:18,200 --> 00:11:20,799 with six hundred million people talking with each other, it's 230 00:11:20,840 --> 00:11:21,759 a physical. 231 00:11:21,440 --> 00:11:22,679 Speaker 2: Data that no one else has. 232 00:11:22,720 --> 00:11:25,559 Speaker 1: And then you started rock, which is based on our 233 00:11:25,679 --> 00:11:28,960 data and everyone else doesn't have that, they got digital stuff. 234 00:11:29,440 --> 00:11:32,120 And then when they have grock, then we need more 235 00:11:32,200 --> 00:11:35,799 data centers, and you're building those. And in a space 236 00:11:35,840 --> 00:11:39,200 of a very short time, less than months, you built 237 00:11:39,559 --> 00:11:42,720 a data center which is four times as large as 238 00:11:42,720 --> 00:11:46,879 anyone else on the planet, twenty five thousand what other 239 00:11:46,919 --> 00:11:50,440 people had in CPUs, and we built it in GPUs 240 00:11:50,639 --> 00:11:55,080 one hundred thousand more powerful. And then you know, now 241 00:11:55,879 --> 00:11:58,000 we're going to go to hundreds of that. But the 242 00:11:58,000 --> 00:12:00,799 bottom line is the investment that we made. We put 243 00:12:00,879 --> 00:12:02,799 up more money and we have a total of three 244 00:12:02,879 --> 00:12:05,120 hundred and fifty million dollars invested over the past two 245 00:12:05,200 --> 00:12:07,559 or three years, and now it's worth seven hundred million dollars. 246 00:12:07,799 --> 00:12:11,399 Speaker 2: Everything you touch is like that. It's the most unbelievable 247 00:12:11,440 --> 00:12:12,120 thing I've ever seen. 248 00:12:12,600 --> 00:12:17,360 Speaker 1: So so everyone's investment in technology, and we are investing 249 00:12:17,440 --> 00:12:21,480 in in the technology person best engineer on the planet. 250 00:12:21,559 --> 00:12:23,639 So thank you very much. So the vision is the 251 00:12:23,759 --> 00:12:27,320 question is did you buy X Did you do my Twitter? 252 00:12:27,480 --> 00:12:28,519 Because of the data? 253 00:12:28,600 --> 00:12:30,279 Speaker 2: Is that? Did you have all this in your head 254 00:12:30,320 --> 00:12:31,000 before you did it? 255 00:12:31,279 --> 00:12:33,679 Speaker 3: Not? Really, No, I just bought Twitter because I thought 256 00:12:33,759 --> 00:12:38,679 it was having a negative effect on civilization and just 257 00:12:38,720 --> 00:12:43,360 sort of pushing ideas that were anti civilizational. You know, 258 00:12:43,559 --> 00:12:46,919 it's sort of having Short captured by the far left. 259 00:12:46,960 --> 00:12:49,159 That's it's fair to say the radical left. I mean, 260 00:12:49,399 --> 00:12:52,360 they wouldn'tn't regard themselves as such, but it was captured 261 00:12:52,360 --> 00:12:57,600 by group of people whose vedical beliefs are those of 262 00:12:58,279 --> 00:13:00,840 you know, deeply San Francisco book, which is about as 263 00:13:00,879 --> 00:13:03,960 des get in America, that that that it wasn't a 264 00:13:03,960 --> 00:13:08,440 good forum for debate because they suspended many people on 265 00:13:08,480 --> 00:13:11,240 the right, including the president, as as a miracle is 266 00:13:11,320 --> 00:13:14,759 sitting president, which is really unprecedented. 267 00:13:15,080 --> 00:13:15,519 Speaker 4: President. 268 00:13:15,879 --> 00:13:18,159 Speaker 3: I think we need to have a public square where 269 00:13:18,159 --> 00:13:21,679 there's a true freedom of speech, and freedom speech is 270 00:13:22,440 --> 00:13:25,720 freedom of speech is the bedrock of democracy. If there's 271 00:13:25,720 --> 00:13:28,080 no freedom of speech, people kindot make an informed vote, 272 00:13:28,279 --> 00:13:30,600 and if you can't make an yourform vote, you don't 273 00:13:30,600 --> 00:13:34,480 have a real democracy. So that's the purpose of acquiring 274 00:13:34,480 --> 00:13:36,679 twitters who try to bring it more to the center. 275 00:13:37,200 --> 00:13:39,360 There's been no no left wing voices have been banned 276 00:13:39,600 --> 00:13:43,919 or anything like that or suppressed. But what you're trying 277 00:13:43,960 --> 00:13:46,320 to do is give equal weight to all parts of 278 00:13:46,320 --> 00:13:49,679 the country so that they can be a public count 279 00:13:49,679 --> 00:13:53,559 square where people can exchange ideas and hopefully not preserved violence. 280 00:13:53,559 --> 00:13:56,440 Speaker 4: I think that's that's fundamental. 281 00:13:56,039 --> 00:13:59,600 Speaker 3: To I think it's one of the It's like free 282 00:13:59,600 --> 00:14:01,799 speech because the bedrock democracy is. It's why it's the 283 00:14:01,840 --> 00:14:04,879 first Amendment. Is people came from countries where if they 284 00:14:04,919 --> 00:14:09,120 could be killed or imprisoned what they said. And in fact, 285 00:14:09,120 --> 00:14:11,639 this is happening all around the world, as even in 286 00:14:11,799 --> 00:14:17,840 places like Writin. So that's anyway I didn't because I 287 00:14:18,360 --> 00:14:21,799 felt like the civilizational risks had to be addressed. I mean, 288 00:14:21,960 --> 00:14:25,600 if America is not strong, then what the businesses matter. 289 00:14:25,679 --> 00:14:28,600 America is a central pillar that holds up a Western civilization, 290 00:14:28,679 --> 00:14:31,399 and if that pillar falls, everything falls. 291 00:14:32,399 --> 00:14:36,279 Speaker 2: So you were one of the founders, the two founders of. 292 00:14:36,279 --> 00:14:39,080 Speaker 1: CHATCHBT and you know open AI and you had a 293 00:14:39,159 --> 00:14:41,360 disagree and it was founded as a charity, and it 294 00:14:41,440 --> 00:14:43,879 was your idea that you wanted to make sure, you know, 295 00:14:44,080 --> 00:14:46,559 freedom of speech and all the things that you deem 296 00:14:46,639 --> 00:14:50,559 important for good lives on our planet were followed safety. 297 00:14:51,720 --> 00:14:54,240 The other founder, what he tried to do and did 298 00:14:54,440 --> 00:14:57,200 was accomplished, is that he got control even though it 299 00:14:57,240 --> 00:15:00,879 was your money, and he got control and you and 300 00:15:00,960 --> 00:15:03,240 he said, you know, I would like you to stay, 301 00:15:03,320 --> 00:15:05,320 and he said, I want to go. I don't want 302 00:15:05,320 --> 00:15:08,039 to be a part of this, and uh. And he 303 00:15:08,159 --> 00:15:11,039 offered you some ownership and you said I don't want it. 304 00:15:11,039 --> 00:15:14,799 And so here you walk away from an ownership of 305 00:15:14,960 --> 00:15:18,120 chat GBT. So you're obviously not doing all this stuff 306 00:15:18,159 --> 00:15:20,279 for money. I mean you are, but I mean that's 307 00:15:20,320 --> 00:15:23,080 not But I mean if you if you were only 308 00:15:23,080 --> 00:15:26,360 about money, you would have never left something that's worth 309 00:15:26,360 --> 00:15:31,120 five hundred billion dollars by itself. And so here you're 310 00:15:31,159 --> 00:15:38,799 forming this new entity Grock to accomplish what you wanted 311 00:15:39,159 --> 00:15:40,559 Chat GIBT to accomplish. 312 00:15:40,799 --> 00:15:42,759 Speaker 2: But you think that we have an advantage. 313 00:15:42,240 --> 00:15:45,399 Speaker 1: In this because of the data, because of the compute, 314 00:15:45,399 --> 00:15:47,919 because of what and what are you going to do 315 00:15:47,960 --> 00:15:48,440 with this? 316 00:15:48,600 --> 00:15:49,000 Speaker 2: Ultimately? 317 00:15:49,039 --> 00:15:52,159 Speaker 1: If you talk about connecting physical worlds and digital what 318 00:15:52,200 --> 00:15:52,799 does that mean? 319 00:15:53,120 --> 00:15:55,960 Speaker 3: Yeah, Well, just going back to opening a for a second, 320 00:15:56,159 --> 00:15:59,120 the reason I found it Opening Eye was because I 321 00:15:59,159 --> 00:16:02,159 was concerned so of my conversations with Larry Page, used 322 00:16:02,159 --> 00:16:04,440 to be a close friend of mine, that he was 323 00:16:04,480 --> 00:16:07,240 not sufficially concerned about the dangers of AIS really came 324 00:16:07,279 --> 00:16:10,720 to a head when at my birthday party, he, in 325 00:16:10,720 --> 00:16:12,679 front of a large group of people, called me a 326 00:16:12,759 --> 00:16:15,519 species for favoring. 327 00:16:15,200 --> 00:16:21,799 Speaker 4: Humanity over computers. I think that's problem. I was like, Larry, 328 00:16:22,320 --> 00:16:23,279 what side are you on? 329 00:16:25,039 --> 00:16:27,039 Speaker 3: It sounds like you're on the side of the computers, 330 00:16:27,080 --> 00:16:29,320 but you really need to be on team humanity here. 331 00:16:29,279 --> 00:16:31,039 Speaker 4: You know. After that, I was like, Okay, this is it. 332 00:16:31,159 --> 00:16:34,840 Speaker 3: We've got to have some counterbalance to Google, because Larry 333 00:16:34,840 --> 00:16:36,480 doesn't seem to care if humans to make it or not. 334 00:16:36,600 --> 00:16:39,159 So I thought, what's the opposite of Google. It would 335 00:16:39,200 --> 00:16:42,639 be an open source nonprofit. And that's where the word 336 00:16:42,720 --> 00:16:45,399 open in opening eye comes from. It it means open source. 337 00:16:45,440 --> 00:16:48,320 And and then I provided. I provided all the money 338 00:16:48,759 --> 00:16:53,200 beginning like what are the series APC rounds, and recruited 339 00:16:53,200 --> 00:16:56,159 the key people like Elisi's guy, and put them everything 340 00:16:56,159 --> 00:16:57,919 out of I actually even got them to deal with 341 00:16:57,960 --> 00:17:01,240 Microsoft with with such actially got I got such to 342 00:17:01,279 --> 00:17:04,200 donate some time from Azure and for all that, I 343 00:17:04,240 --> 00:17:09,039 did not seek any financial reward back whatsoever. And the 344 00:17:09,039 --> 00:17:11,519 reason I actually took down the offer for shares is 345 00:17:11,559 --> 00:17:14,400 because I mean I felt like what shares and why? 346 00:17:14,519 --> 00:17:17,799 Like nonprofits supposed to have shares these last time I checked, 347 00:17:17,960 --> 00:17:20,160 not space nonprofits. They're not supposed to be big yourself 348 00:17:20,200 --> 00:17:22,960 in richment. So that's why I tuned down the offer 349 00:17:23,000 --> 00:17:27,039 of shares because it doesn't seem morally illegally defenseful with 350 00:17:27,039 --> 00:17:29,799 with Xai, and we are startying late with Xai, and 351 00:17:29,839 --> 00:17:34,680 ever only two and a half years before basically designing 352 00:17:34,680 --> 00:17:35,240 from behind. 353 00:17:35,519 --> 00:17:38,359 Speaker 4: We al somewhat have been underdoing, but pretty good with. 354 00:17:38,319 --> 00:17:41,000 Speaker 3: Technology though I don't want to put myself in back here, 355 00:17:41,039 --> 00:17:42,680 but I have pretty good with technology, and we are 356 00:17:42,720 --> 00:17:45,319 advancing bester than any other way. And I think the 357 00:17:45,880 --> 00:17:48,880 for technology adventures, the winner ultimately is the one that 358 00:17:48,960 --> 00:17:50,200 is able to move the fastest. 359 00:17:50,559 --> 00:17:54,400 Speaker 1: So we're optimizing for the best technology, and we're doing 360 00:17:54,440 --> 00:17:57,799 something different than others, others in a digital world and 361 00:17:57,839 --> 00:18:02,319 we're physical through digital with move meant and visual and 362 00:18:02,359 --> 00:18:03,920 other people can't match that. 363 00:18:04,000 --> 00:18:06,039 Speaker 2: And also we have the real time data. What does 364 00:18:06,079 --> 00:18:08,759 that mean? Why should we do better than everyone else? 365 00:18:08,799 --> 00:18:09,599 Why are we going to win? 366 00:18:09,720 --> 00:18:11,880 Speaker 1: Why are we going to at least be different than 367 00:18:11,920 --> 00:18:14,680 everyone else? So we have a really strong business. 368 00:18:14,279 --> 00:18:16,920 Speaker 4: Well for sure, I think it doesn't make a strong business. 369 00:18:16,960 --> 00:18:21,160 Speaker 3: Actually, not too worried about that because even a small 370 00:18:21,200 --> 00:18:23,599 player that is successful in AI will be worth a 371 00:18:23,599 --> 00:18:25,839 lot because they will cut to result and productivity to 372 00:18:25,839 --> 00:18:26,400 the economy. 373 00:18:26,400 --> 00:18:27,960 Speaker 4: So it's actually pretty easy to. 374 00:18:29,400 --> 00:18:32,720 Speaker 3: Achieve a got pretty easy, But I mean it's not 375 00:18:32,920 --> 00:18:36,200 There will be many companies that are worth sustainably, some 376 00:18:36,319 --> 00:18:37,920 one hundred billion dollars sustainably. 377 00:18:38,160 --> 00:18:40,640 Speaker 4: Then several question of like well how do we achieve 378 00:18:40,640 --> 00:18:44,799 the lead? That comes down to three things. Are you 379 00:18:44,799 --> 00:18:45,160 able to. 380 00:18:45,160 --> 00:18:47,680 Speaker 3: Attract the best talent? Are you able to bring the 381 00:18:47,680 --> 00:18:50,519 most amount of AI hardware online? Can you can you 382 00:18:50,559 --> 00:18:54,480 bring GPUs online faster than anyone else? And we've already 383 00:18:54,519 --> 00:18:57,400 demonstrated that we can do that. Jensen Monk himself said 384 00:18:57,440 --> 00:19:00,119 that he was blown away by half past exciting to 385 00:19:00,160 --> 00:19:00,759 Stata Center. 386 00:19:01,079 --> 00:19:03,359 Speaker 1: Jensen said, there's only one human on the planet who 387 00:19:03,400 --> 00:19:04,079 could have done that. 388 00:19:04,079 --> 00:19:07,720 Speaker 2: That's you. Yes, it made us think about are you 389 00:19:07,880 --> 00:19:08,640 really human? 390 00:19:10,440 --> 00:19:13,240 Speaker 4: I keep talking about I'm an alien, but nobody believes me. 391 00:19:14,920 --> 00:19:16,400 Speaker 3: I mean when I got my green clod and said 392 00:19:16,440 --> 00:19:19,000 alien registration part So I mean, you know I have 393 00:19:19,839 --> 00:19:21,000 I grow from the government. 394 00:19:23,000 --> 00:19:25,599 Speaker 4: Actually, I've got some relatively. 395 00:19:25,119 --> 00:19:30,680 Speaker 3: Rare skills these days in America, getting hardware. 396 00:19:30,960 --> 00:19:33,759 Speaker 4: I mean, if you look at the biggest successes. 397 00:19:33,359 --> 00:19:36,160 Speaker 3: In manufacturing in America since World War Two, by far 398 00:19:36,480 --> 00:19:37,759 our Tesla in spaces. 399 00:19:37,799 --> 00:19:41,359 Speaker 1: So so to stay Sam Grock for another minute. So 400 00:19:41,759 --> 00:19:46,680 the idea of connecting physical and digital is that that's 401 00:19:46,759 --> 00:19:50,920 different digital digital figuring out who wants to buy what 402 00:19:51,000 --> 00:19:52,519 we're doing something entirely different. 403 00:19:52,599 --> 00:19:53,039 Speaker 2: Is that fair? 404 00:19:53,519 --> 00:19:55,920 Speaker 3: I wouldn't say we're doing some up. We're doing we're 405 00:19:55,960 --> 00:19:57,599 doing some things that are the same some things that 406 00:19:57,599 --> 00:20:02,200 are different. But saying, like the elements that define success 407 00:20:02,240 --> 00:20:06,799 for an AA company or won the talent to the hardware, 408 00:20:06,839 --> 00:20:09,200 how much AI hardware can you bring to bear that 409 00:20:09,319 --> 00:20:11,920 that's actually a very big deal, and we've shown that 410 00:20:11,960 --> 00:20:13,559 we're the best at doing that at XAI. 411 00:20:13,680 --> 00:20:15,799 Speaker 4: And then third, unique access to data. 412 00:20:15,880 --> 00:20:18,240 Speaker 3: And for that we've got the x system formerly the 413 00:20:18,240 --> 00:20:20,920 Twitter system, which is by far the best source of 414 00:20:20,920 --> 00:20:23,359 real time data in the world. So that those are 415 00:20:23,559 --> 00:20:26,400 some pretty significant assets. And I think we're going to 416 00:20:26,519 --> 00:20:28,759 come up with some very innovative ideas. And I have 417 00:20:28,799 --> 00:20:30,799 more ideas in mind that I know what to do with. Frankly, 418 00:20:30,880 --> 00:20:32,480 I think we'll make some moves that are not on 419 00:20:32,519 --> 00:20:35,359 the chess board that people don't anticipate in some creative moves, 420 00:20:35,480 --> 00:20:38,400 and like I said, so I should point out but 421 00:20:38,480 --> 00:20:42,759 growk Right now, Rock heavy is still the smartest AI 422 00:20:42,920 --> 00:20:45,279 best of my knowledge, I recommend coming it out. Crock 423 00:20:45,319 --> 00:20:48,039 Foy heavy is where we sporn several agents so they 424 00:20:48,119 --> 00:20:50,319 work in parallel and they compare their output like a 425 00:20:50,319 --> 00:20:52,680 study group and give you the final conclusion. And it 426 00:20:52,720 --> 00:20:55,640 keeps getting better. And now we've gone training on Rock five. 427 00:20:55,799 --> 00:20:59,680 Rock five I think will be the smartest AI in 428 00:20:59,680 --> 00:21:03,920 the world, my significant margin on every metric without exception. 429 00:21:04,599 --> 00:21:07,039 Speaker 4: I might be wrong, but I think that will be 430 00:21:07,079 --> 00:21:08,279 the case, and that will be in Q. 431 00:21:08,440 --> 00:21:13,640 Speaker 3: One sometimes Grack five, yes, I and Grock five is 432 00:21:13,640 --> 00:21:15,519 the first time where I thought, well, we have a 433 00:21:15,519 --> 00:21:19,599 non zero chance of achieving artificial general intelligence. 434 00:21:19,960 --> 00:21:21,039 Speaker 4: Not that it's a high chance. 435 00:21:21,519 --> 00:21:24,480 Speaker 3: I can't it like ten percent, but that's what my 436 00:21:25,119 --> 00:21:28,720 biological neural name comes up with, which still means ninety 437 00:21:28,720 --> 00:21:29,599 percent chance to be don't. 438 00:21:29,640 --> 00:21:31,160 Speaker 4: But I've never thought that before, and so for. 439 00:21:31,119 --> 00:21:33,519 Speaker 3: The first time I think, like, well, this this really 440 00:21:33,519 --> 00:21:36,759 could be general intelligence at least a small chance. Rock 441 00:21:36,799 --> 00:21:39,440 five will really be something special and it'll be both 442 00:21:39,480 --> 00:21:44,279 extremely intelligent and extremely intelligence and extremely fast. So one 443 00:21:44,279 --> 00:21:45,720 of the things that we're doing that I think is 444 00:21:45,799 --> 00:21:48,920 interesting is Rocklipedia, which we're going to rename down the 445 00:21:49,000 --> 00:21:54,160 road to incite to be Encyclopedia galact in of Isaac 446 00:21:54,240 --> 00:21:58,640 Asimov and Douglas Adams. We both mentioned that, and the 447 00:21:58,759 --> 00:22:02,559 idea of behind the fact Galactica is to create an 448 00:22:02,599 --> 00:22:07,160 open source repository of all knowledge, like a distillation of 449 00:22:07,160 --> 00:22:09,880 whole knowledge, and an open source meaning anyone can access it, 450 00:22:09,920 --> 00:22:11,920 anyone can use it, and if other people want to 451 00:22:11,920 --> 00:22:13,119 train on it, they can do so. 452 00:22:13,240 --> 00:22:15,039 Speaker 4: And then we want to create copies of this. 453 00:22:15,079 --> 00:22:17,759 Speaker 3: And distribute these copies throughout Earth and even put them 454 00:22:17,759 --> 00:22:19,960 on the Moon and Mars and out of deep space 455 00:22:20,839 --> 00:22:23,799 as in a way sort of a modern day Library 456 00:22:23,799 --> 00:22:26,079 of Alexandria. It was the great tragedy that the Library 457 00:22:26,079 --> 00:22:29,480 of Alexandria wrote down what was bunt down. And in 458 00:22:29,599 --> 00:22:32,240 order to preserve this knowledge, I think we want to 459 00:22:32,480 --> 00:22:35,079 literally enter it in stone and sort of stone stone 460 00:22:35,119 --> 00:22:38,119 like my microplaunch, and distribute it widely. So the worst 461 00:22:38,119 --> 00:22:41,759 case scenario future civilization, you can see what we learned 462 00:22:41,759 --> 00:22:43,240 and pick things up from there. 463 00:22:43,279 --> 00:22:45,839 Speaker 1: So is there a major breakthrough that you can describe 464 00:22:46,240 --> 00:22:48,200 that allows us to do this with grap five. 465 00:22:48,319 --> 00:22:49,559 Speaker 2: Is it just speed? 466 00:22:50,079 --> 00:22:53,079 Speaker 1: Is it more compute and therefore we are more and 467 00:22:53,200 --> 00:22:56,519 now more you know, information we can train on. 468 00:22:56,880 --> 00:22:57,440 Speaker 2: What is the. 469 00:22:57,400 --> 00:23:01,839 Speaker 1: Breakthrough that allows us to to have is ten percent 470 00:23:01,920 --> 00:23:04,319 chance for a GI Is there is there a breakthrough? 471 00:23:04,559 --> 00:23:06,319 Speaker 2: Or is just speed and access to data? 472 00:23:06,359 --> 00:23:09,440 Speaker 4: Act just it will be the largest models, best maneral. 473 00:23:09,599 --> 00:23:12,160 Speaker 3: So this is this is a six trillion parameter model, 474 00:23:12,240 --> 00:23:14,839 whereas Rock three and four are based on a three 475 00:23:14,880 --> 00:23:18,400 trillion parameter model. More of about the six trillion parameters 476 00:23:18,440 --> 00:23:22,039 will have a much higher intelligence density for gigabyte than 477 00:23:22,319 --> 00:23:26,039 Rock fall. I think this is an important metric to 478 00:23:26,039 --> 00:23:28,000 think about intelligence for gigabyte and. 479 00:23:27,920 --> 00:23:29,799 Speaker 4: Intelligence for trillion operations. 480 00:23:30,559 --> 00:23:33,839 Speaker 3: We've learned a lot the quality of the data that 481 00:23:33,880 --> 00:23:37,000 we're training on with Rock five business here. It's also 482 00:23:37,640 --> 00:23:43,680 inherently multimodal, so it's XT, pictures, video, audio, bits. It's 483 00:23:43,720 --> 00:23:46,240 going to be much better at tool use and effect 484 00:23:46,440 --> 00:23:52,640 creating tools to be more effective at answering questions and understanding. 485 00:23:53,160 --> 00:23:57,160 Its vision will be extremely good. It'll have real real time, 486 00:23:57,480 --> 00:24:00,480 real time. But which is I think really fundamentally important 487 00:24:00,480 --> 00:24:02,960 thing that none of the other anis can understand real 488 00:24:02,960 --> 00:24:04,759 time video. I think if you can't do that, which 489 00:24:04,759 --> 00:24:08,400 is humans can obviously do, you're you really can't achieve 490 00:24:09,359 --> 00:24:10,240 a GI. 491 00:24:10,359 --> 00:24:11,079 Speaker 2: Every one of these. 492 00:24:11,599 --> 00:24:14,240 Speaker 3: There's some special source items that I there's some special 493 00:24:14,240 --> 00:24:16,440 source items that I can't talk about in the public 494 00:24:16,440 --> 00:24:19,079 from obviously you can't can't give away you. 495 00:24:19,000 --> 00:24:21,079 Speaker 4: Know, all the secrets here just between us. 496 00:24:22,400 --> 00:24:24,680 Speaker 3: But but but we have a few a few other 497 00:24:24,720 --> 00:24:27,519 special things that are that are in the works. 498 00:24:28,920 --> 00:24:33,200 Speaker 4: For Rock five, it's really really going to feel sentient. 499 00:24:33,519 --> 00:24:36,160 Speaker 1: So but there is no when we're Grock five, when 500 00:24:36,160 --> 00:24:39,000 you're talking about the advances, there is no limit. So 501 00:24:39,119 --> 00:24:41,880 when we're groped, five is better than Rock four, which 502 00:24:41,880 --> 00:24:44,599 is better than Rock three. But so so it keeps going. 503 00:24:44,960 --> 00:24:47,640 So once we get to sentient levels, we go two 504 00:24:47,759 --> 00:24:50,680 sentient five sent ten sentent millions. 505 00:24:50,400 --> 00:24:57,000 Speaker 3: Right the sentence book grow, I mean, which really mind blowing. 506 00:24:58,400 --> 00:25:01,680 It's how far candasing teams to to your point, well, 507 00:25:01,720 --> 00:25:05,519 how far does it go? I think it goes immensely 508 00:25:05,599 --> 00:25:11,359 for almost incomprehensibly For that almost does go incomprehensibly far, 509 00:25:11,440 --> 00:25:15,839 Like we see a path to putting one hundred gigawatts 510 00:25:15,880 --> 00:25:20,839 per year of solo powered AI satellite into orbit and 511 00:25:20,839 --> 00:25:23,079 and having this would be actually the lowest cost way 512 00:25:23,160 --> 00:25:25,839 to power and operate. 513 00:25:25,559 --> 00:25:29,400 Speaker 4: The AI at a very large scale. 514 00:25:29,880 --> 00:25:33,240 Speaker 3: For reference, the United States consumes roughly four hundred and 515 00:25:33,279 --> 00:25:36,720 sixty gigawatts an average per year because that average powerlel 516 00:25:36,759 --> 00:25:37,720 the US is border. 517 00:25:37,519 --> 00:25:40,000 Speaker 2: Sixty together whole country, the whole country. 518 00:25:39,720 --> 00:25:41,359 Speaker 4: All electricity of all sources in the US. 519 00:25:41,440 --> 00:25:43,599 Speaker 2: Yes, and you're talking about one hundred being. 520 00:25:43,359 --> 00:25:46,680 Speaker 3: It well roughly of the US electricity out. We have 521 00:25:46,720 --> 00:25:48,079 a we have a plan mapped out to do that. 522 00:25:48,319 --> 00:25:49,160 It gets crazy. 523 00:25:49,599 --> 00:25:56,160 Speaker 1: So so here's what a treeum planets like Earth in 524 00:25:56,240 --> 00:25:59,880 the world in a solar system whatever you call it, 525 00:26:00,240 --> 00:26:03,880 truly and in that trillion So Big Bang was fourteen 526 00:26:03,920 --> 00:26:07,640 billion years ago, thirteen billion years and planet are planets 527 00:26:07,720 --> 00:26:10,799 only four billion years old, So there must be other planets. 528 00:26:10,839 --> 00:26:16,680 They are like ours with all the minerals oxygen, hydrogen, silicon, carbon. 529 00:26:17,039 --> 00:26:20,920 So life here has been extinguished four times. And presumably 530 00:26:21,440 --> 00:26:26,119 you feel that other places, other civilizations, other planets. 531 00:26:26,200 --> 00:26:29,720 Speaker 2: Then we'll get off of this exists and are. 532 00:26:29,640 --> 00:26:34,160 Speaker 1: They planets where the beings there are part human or 533 00:26:34,240 --> 00:26:36,160 park carbon and park metal. 534 00:26:36,279 --> 00:26:37,920 Speaker 3: Well, I think we'd like to find out. I'd like 535 00:26:37,960 --> 00:26:40,440 to find out. I mean, my philosophy is one of curiosity. 536 00:26:41,000 --> 00:26:43,200 I just want to know what's what's going on in 537 00:26:43,240 --> 00:26:46,519 this unit? Is the standindable? Is the standard aysics correct 538 00:26:46,559 --> 00:26:48,519 about the beginning of the universe? 539 00:26:48,640 --> 00:26:50,200 Speaker 4: Is heat death at the end of the universe? Other 540 00:26:50,279 --> 00:26:52,920 other aliens organizations? Can we talk to them? And what 541 00:26:53,000 --> 00:26:55,160 questions should we be asking you about reality? And we 542 00:26:55,200 --> 00:26:55,640 don't know that. 543 00:26:55,839 --> 00:27:01,240 Speaker 3: So that's my is to expand consciousness to better understand unibuse. 544 00:27:02,000 --> 00:27:05,559 Speaker 1: So let's go to away from the universe, back to 545 00:27:05,599 --> 00:27:06,200 Tesla again. 546 00:27:06,519 --> 00:27:12,359 Speaker 2: And you said that around here, back on grounds and. 547 00:27:12,759 --> 00:27:18,160 Speaker 1: So you said that our expertise is in making things better, faster, 548 00:27:18,400 --> 00:27:20,839 cheaper than other people. And when I started investing in 549 00:27:20,920 --> 00:27:22,960 Testa and we started investing in Tesla, you were telling 550 00:27:23,079 --> 00:27:26,599 us that that it's the machine that makes, the machine 551 00:27:26,640 --> 00:27:29,160 that's most important, the machine that makes. So you're into 552 00:27:29,240 --> 00:27:32,920 machine learning, machine technology then, which is fifteen years ago. 553 00:27:33,400 --> 00:27:38,359 And now the average car I think it's fifteen minutes 554 00:27:38,920 --> 00:27:42,559 or fifty seconds, forty seconds, sixty seconds, and we're now 555 00:27:42,720 --> 00:27:45,680 thirty five seconds. Every thirty five seconds the car rolls 556 00:27:45,720 --> 00:27:47,839 off and then you say that we're going to get 557 00:27:47,839 --> 00:27:50,359 down to ten seconds, and you said it's a possibility 558 00:27:50,680 --> 00:27:54,759 we can go to five five seconds. Every car is 559 00:27:54,839 --> 00:27:56,599 rolling off a line. How does that happen? 560 00:27:57,119 --> 00:27:59,480 Speaker 4: I certainly see a path to achieving it. 561 00:27:59,559 --> 00:28:02,960 Speaker 3: Roughly five thousand millis second second time or five seconds, 562 00:28:02,960 --> 00:28:06,079 which is only that's only really walking speed. That's like 563 00:28:06,160 --> 00:28:08,519 sort of a past wall. One meter per second is 564 00:28:08,519 --> 00:28:10,400 a past walk. The car's less than five meters long. 565 00:28:10,440 --> 00:28:13,480 Five second cycle time. The cars will will be exiting 566 00:28:13,480 --> 00:28:16,440 the line at voking speed, so it's you can run 567 00:28:16,480 --> 00:28:18,400 away from them. It's not going to be like they're 568 00:28:18,440 --> 00:28:23,480 coming out like bullets or something. So but as a 569 00:28:23,640 --> 00:28:25,680 as a rougherl of thumb, that's you know, it's ten 570 00:28:25,680 --> 00:28:28,000 thousand minutes in a week. If you're run twenty four 571 00:28:28,000 --> 00:28:30,720 to seven operation and you get you know, let's say 572 00:28:30,759 --> 00:28:35,119 ten cars per minute, you've got one hundred thousand cars weeks. 573 00:28:35,319 --> 00:28:38,119 Speaker 2: But the question is how come we're able to do this? 574 00:28:38,359 --> 00:28:41,039 Speaker 1: The other people just not care or they think that, gee, 575 00:28:41,079 --> 00:28:44,039 if I do something, if I have this idea and 576 00:28:44,079 --> 00:28:47,119 we try to implement it and it doesn't work, then 577 00:28:47,160 --> 00:28:48,920 I'm not going to get promoted where I can get 578 00:28:48,920 --> 00:28:51,680 fired or I'll get blamed. And if it works, then 579 00:28:51,720 --> 00:28:53,400 I'm have to do a lot of extra work that 580 00:28:53,480 --> 00:28:55,200 I wouldn't have to do it if it didn't work. 581 00:28:55,240 --> 00:28:56,079 Speaker 2: Why don't other. 582 00:28:55,920 --> 00:28:59,880 Speaker 1: People have, you know, a mindset of making things better? 583 00:29:01,319 --> 00:29:04,119 The Chinese they've been great at copying us, and some 584 00:29:04,160 --> 00:29:06,880 instance has probably even done better than us after they've 585 00:29:06,920 --> 00:29:10,559 copied for the first time. How come do you think that 586 00:29:10,720 --> 00:29:13,920 other people haven't been able to make the advances we have. 587 00:29:14,519 --> 00:29:17,680 And even the guy from Ford has recently said, gee, 588 00:29:17,720 --> 00:29:20,400 this people in China wouldn't give us compliments, but he 589 00:29:20,440 --> 00:29:23,319 said the people and the Chinese have copied us. Those 590 00:29:23,319 --> 00:29:26,200 people in China are doing great, which is really compliments 591 00:29:26,279 --> 00:29:28,400 us because the reason they're doing great is because us. 592 00:29:28,480 --> 00:29:30,920 Speaker 2: So why don't other people do this? Why doesn't he 593 00:29:31,000 --> 00:29:31,279 do that? 594 00:29:31,319 --> 00:29:34,680 Speaker 3: Most companies are incrementalist, you know, the management team wants 595 00:29:34,680 --> 00:29:38,400 to do five percent maybe ten percent better than last 596 00:29:38,480 --> 00:29:41,839 year as opposed to big risks that could fail. And 597 00:29:41,960 --> 00:29:43,440 obviously I've done have a problem. 598 00:29:43,160 --> 00:29:47,359 Speaker 2: With taking big risks, yeah, i'd say. 599 00:29:48,279 --> 00:29:50,599 Speaker 3: And I like to use the tools of physics to 600 00:29:50,640 --> 00:29:52,599 Aline's thank you know, when I was in the factory 601 00:29:52,599 --> 00:29:54,680 one night I was looking at the factory and I 602 00:29:54,720 --> 00:29:57,559 was like, you know this, this could be much more efficient, 603 00:29:57,559 --> 00:30:00,799 It could be much faster. There's tried rough mass trying 604 00:30:00,839 --> 00:30:03,839 to capeculate the volumetric efficiency of the factory. 605 00:30:03,920 --> 00:30:04,640 Speaker 4: So if you buy the. 606 00:30:04,559 --> 00:30:07,279 Speaker 3: Factory in cubic meters and say how many cubic meters 607 00:30:07,319 --> 00:30:11,359 are doing something useful and surprisingly small percent, the volumetric. 608 00:30:10,960 --> 00:30:12,039 Speaker 4: Density is not very good. 609 00:30:12,400 --> 00:30:15,160 Speaker 3: And then the speed of the cars and the parts 610 00:30:15,160 --> 00:30:18,720 moving is quite slow, generally limited by the speed at 611 00:30:18,720 --> 00:30:22,559 which people can say attach break lights or a seat 612 00:30:22,720 --> 00:30:23,359 or something like that. 613 00:30:23,440 --> 00:30:24,519 Speaker 4: So if you. 614 00:30:24,559 --> 00:30:27,839 Speaker 3: Densify the factory and improve the bolumetric efficiency, which is 615 00:30:28,200 --> 00:30:32,319 helpful for performable production efficiency because things have the best 616 00:30:32,319 --> 00:30:34,440 distance to move, just like just like a chip, you 617 00:30:34,599 --> 00:30:37,880 densify circuits in a chip, you get more efficient. They 618 00:30:37,880 --> 00:30:39,799 think a lot of factories not like to how do 619 00:30:39,839 --> 00:30:42,759 you make your trip faster? Well, you bring circuits closer together, 620 00:30:42,839 --> 00:30:45,160 make the smaller, and you increase the clock speed. 621 00:30:45,240 --> 00:30:47,720 Speaker 1: So Robin told me that you told her once, I 622 00:30:47,759 --> 00:30:50,559 think of myself as a bit, and if I'm a bit, 623 00:30:51,200 --> 00:30:52,279 how would I like to travel? 624 00:30:52,400 --> 00:30:54,039 Speaker 4: I mean a bit or an asset? 625 00:30:54,160 --> 00:30:57,759 Speaker 3: If it's if it's the software software, or I come 626 00:30:57,799 --> 00:30:59,799 on a ship, I say, what's the journey of them? 627 00:30:59,839 --> 00:31:00,440 Speaker 4: What am I doing? 628 00:31:00,480 --> 00:31:02,799 Speaker 3: And if this journey doesn't make sense, I need to 629 00:31:02,839 --> 00:31:04,359 fix that. And if the journey of the ad time 630 00:31:04,359 --> 00:31:05,920 in the factory doesn't make sense, and need to fix it. 631 00:31:06,039 --> 00:31:08,039 Speaker 1: So when you say you're working on weekends, I spent 632 00:31:08,160 --> 00:31:09,799 all my sundays working on a chip. 633 00:31:09,920 --> 00:31:11,200 Speaker 2: What does that mean? What do you do? 634 00:31:11,839 --> 00:31:17,160 Speaker 3: It's saturdays, but sometimes Sundays actually fast recent weekends. 635 00:31:17,200 --> 00:31:17,960 Speaker 4: Spend Sundays too. 636 00:31:18,000 --> 00:31:19,519 Speaker 3: The a I five chip, which is going to be 637 00:31:19,559 --> 00:31:22,119 a great chick, you know, all of all tess the 638 00:31:22,240 --> 00:31:24,559 hinges on that chick. That's that's the chick that goes 639 00:31:24,640 --> 00:31:27,200 that we're going to our next generation of self driving cards, 640 00:31:27,240 --> 00:31:29,440 and it's also essential for the Optimist robot. 641 00:31:29,480 --> 00:31:32,039 Speaker 4: So that chip program was in bad shape. 642 00:31:32,359 --> 00:31:35,000 Speaker 3: It wasn't it wasn't closing because it's it's quite an 643 00:31:35,039 --> 00:31:37,799 ambitious trip to line and it really wasn't on a 644 00:31:37,839 --> 00:31:40,039 path to success. And they also have the job program 645 00:31:40,079 --> 00:31:43,279 which was doing it was also doing okay, but but 646 00:31:43,400 --> 00:31:45,960 not on a path to be competitive for the video. 647 00:31:46,000 --> 00:31:48,319 So I clapped. I collapsed the two programs into just 648 00:31:48,319 --> 00:31:51,559 one program is to get everyone focused on a five chip, 649 00:31:51,599 --> 00:31:54,720 which is essential continue to use in video for training, 650 00:31:54,799 --> 00:31:57,200 but we need the AI five infant chip, which is 651 00:31:57,319 --> 00:32:01,759 it's a very powerful ship, but it's also a very 652 00:32:01,759 --> 00:32:04,880 low power compt. It doesn't use a lot of power. 653 00:32:05,160 --> 00:32:07,599 It's performance for what is extremely good. You think, you know, 654 00:32:07,799 --> 00:32:10,880 it's probably going to be at least for two to 655 00:32:10,960 --> 00:32:14,559 three times better than in video influence for what at 656 00:32:15,200 --> 00:32:17,240 the inference level in the car and the robot. 657 00:32:17,279 --> 00:32:18,119 Speaker 4: And you know, I don't know. 658 00:32:18,839 --> 00:32:21,039 Speaker 3: Half percent of the cost of an in video chip 659 00:32:21,160 --> 00:32:25,480 something like that. So these are very important numbers to achieve. 660 00:32:25,920 --> 00:32:27,880 Had to get the ship program back on track. So 661 00:32:28,799 --> 00:32:30,440 that's about a time or two. And at this point 662 00:32:30,480 --> 00:32:33,160 I have the entire physicook signe of the chip laid 663 00:32:33,160 --> 00:32:33,640 out in memory. 664 00:32:33,680 --> 00:32:34,839 Speaker 4: I can visionize the whole thing. 665 00:32:34,880 --> 00:32:39,039 Speaker 1: So when you're talking about chip manufacturer, you say, we 666 00:32:39,119 --> 00:32:41,799 might have to build some kind of a giant fab. 667 00:32:42,319 --> 00:32:46,160 Presumably we would have a partner with TSMC or with Samsung, 668 00:32:46,160 --> 00:32:48,279 who wouldn't do this by ourselves, and those guys have 669 00:32:48,319 --> 00:32:50,279 been doing this for we would do it by ourselves. 670 00:32:50,640 --> 00:32:54,160 And these are things that cost twenty billion, thirty forty 671 00:32:54,200 --> 00:32:57,440 billion dollars and where do the people come from to do this? 672 00:32:57,920 --> 00:33:01,240 How can we not have partners? Is your thought? To 673 00:33:01,319 --> 00:33:04,279 have a partner to do it by ourselves altimately ten years, 674 00:33:04,759 --> 00:33:06,680 there's not gonna be enough chips in the world to 675 00:33:07,000 --> 00:33:08,240 accomplish what we're trying to do. 676 00:33:08,319 --> 00:33:11,720 Speaker 3: Yeah, First of all, I have bes respectful KSMC and Samsung, 677 00:33:12,039 --> 00:33:16,160 and we've worked with both TSMC and Samsung until the 678 00:33:16,279 --> 00:33:20,480 end at uh SpaceX. TSMC and Samsung are great companies 679 00:33:20,839 --> 00:33:23,640 and we want them to make our trip as quickly 680 00:33:23,680 --> 00:33:25,839 as they can and scale up to as high as. 681 00:33:25,680 --> 00:33:27,799 Speaker 4: Possible value that that they're comfortable doing. 682 00:33:27,839 --> 00:33:31,799 Speaker 3: But the it's it doesn't appear to be fast enough. 683 00:33:31,839 --> 00:33:34,039 And you know, when I ask how long will it 684 00:33:34,079 --> 00:33:36,559 take you start to finish to get a new tube 685 00:33:36,599 --> 00:33:38,759 fat both they tell me by five years to get 686 00:33:38,759 --> 00:33:40,480 to bluing production, And like five years to me is 687 00:33:40,480 --> 00:33:42,119 in the community. 688 00:33:41,960 --> 00:33:43,960 Speaker 4: My my timelines to. 689 00:33:43,960 --> 00:33:47,759 Speaker 3: Me too, By the way, one year, two year and 690 00:33:47,839 --> 00:33:50,720 a year three scale it wills to finish, so I 691 00:33:51,240 --> 00:33:55,160 can't even see that three years. So then I'm like, damn, okay, 692 00:33:55,160 --> 00:33:57,319 this is this is not going to be fast enough. 693 00:33:57,359 --> 00:33:59,400 Now if they if they change their minds and say, yeah, 694 00:33:59,559 --> 00:34:02,559 they're going to go faster and they want to provide 695 00:34:02,599 --> 00:34:04,799 us with one hundred two hundred billion ah f C 696 00:34:04,920 --> 00:34:06,079 year in the timeframe that we need. 697 00:34:06,279 --> 00:34:06,720 Speaker 4: That's great. 698 00:34:07,240 --> 00:34:09,840 Speaker 1: How could they not when they know that we're demand 699 00:34:10,199 --> 00:34:12,360 and we are going to use the product in our 700 00:34:12,400 --> 00:34:15,360 own product, How could they not want to be our supplier? 701 00:34:15,559 --> 00:34:17,400 Or how could they not want to be partners with us? 702 00:34:17,440 --> 00:34:21,079 I don't understand what they are partners. We're using both, 703 00:34:21,639 --> 00:34:23,920 I mean to really expand capacity tremendously. 704 00:34:24,199 --> 00:34:25,199 Speaker 2: Why don't they do that? 705 00:34:25,239 --> 00:34:28,239 Speaker 3: From this standpoint, they are because you'll be using TSMC, 706 00:34:28,400 --> 00:34:32,800 tai Wan, t sm C gives me Taiwan TSMC, Arizona 707 00:34:33,519 --> 00:34:38,800 Korea song and the Texas fac song to the four faves, 708 00:34:39,880 --> 00:34:43,119 and you know, from this standpoint they're moving like I'm 709 00:34:43,159 --> 00:34:43,960 just saying that. 710 00:34:44,320 --> 00:34:46,760 Speaker 4: Nonetheless, it would be a limiting factor for us. 711 00:34:47,159 --> 00:34:49,280 Speaker 3: They're going as fast as they can from this standpoint, 712 00:34:49,320 --> 00:34:52,039 there's Middleton the matter. They're just never at someone without 713 00:34:52,079 --> 00:34:56,119 sets of company outsets, versions, that's the matter. It might 714 00:34:56,239 --> 00:34:57,840 just be that the only way to get to scale 715 00:34:58,039 --> 00:34:59,440 at the rate that we want to get to tail 716 00:34:59,559 --> 00:35:03,400 is to to build up a real and or be 717 00:35:03,480 --> 00:35:09,039 limited an output of optimized and self driving cars by the. 718 00:35:11,199 --> 00:35:13,800 Speaker 1: Obviously you're not going to those are two choices to 719 00:35:13,880 --> 00:35:15,800 go to FSD. We don't have too much more time. 720 00:35:16,199 --> 00:35:20,760 But FSD uh full full self driving. You know, we're 721 00:35:20,840 --> 00:35:26,360 making these tremendous breakthroughs, it seems. And you said recently 722 00:35:26,599 --> 00:35:29,960 that you didn't want to expand capacity for making cars 723 00:35:30,559 --> 00:35:30,920 until you. 724 00:35:30,960 --> 00:35:33,039 Speaker 2: Were convinced that that was the case. You are now 725 00:35:33,159 --> 00:35:35,719 convinced that's the case. And again here. 726 00:35:36,119 --> 00:35:39,599 Speaker 1: We're making these exponential leaps in making in these cars. 727 00:35:39,920 --> 00:35:42,639 And you said that a very large percentage of people 728 00:35:43,119 --> 00:35:46,320 who have actually paid for full self driving don't use it. 729 00:35:46,639 --> 00:35:47,400 Speaker 2: I've never tried it. 730 00:35:47,800 --> 00:35:50,960 Speaker 4: Yes, that's pretty well. How yeah, how we do how 731 00:35:51,239 --> 00:35:53,440 to buy something? You want to try it type of thing. 732 00:35:54,039 --> 00:35:54,599 Speaker 2: It's amazing. 733 00:35:54,880 --> 00:35:55,079 Speaker 4: Yeah. 734 00:35:55,320 --> 00:35:59,559 Speaker 3: So we're now kind of insisting with customers for safety 735 00:36:00,119 --> 00:36:03,559 we demonstrate full self drive because the numbers are uncomfortable 736 00:36:03,679 --> 00:36:07,119 at scale that work with Now we're more or ten 737 00:36:07,199 --> 00:36:13,599 billion miles driven that it's four times safer on full 738 00:36:13,639 --> 00:36:18,519 self driving then they're not, so it's actually a big 739 00:36:18,599 --> 00:36:23,159 improvement in safety. And so at this point we're just 740 00:36:23,360 --> 00:36:27,440 insisting that we at least demonstrate self driving to customers 741 00:36:27,719 --> 00:36:29,559 so they know how to use it and turn it 742 00:36:29,679 --> 00:36:32,199 on for safety reasons, so. 743 00:36:32,239 --> 00:36:35,559 Speaker 1: It drives full self driving drives just like a person, 744 00:36:35,719 --> 00:36:39,760 as opposed to having the code to look for every 745 00:36:39,840 --> 00:36:43,079 circumstance that would happen and you had to you know, 746 00:36:43,519 --> 00:36:45,239 this is a fire truck in front of us with 747 00:36:45,400 --> 00:36:48,320 a bicycle attached to it, or someone walking his dog 748 00:36:48,719 --> 00:36:51,639 while he's driving along. They have to identify everything with 749 00:36:51,760 --> 00:36:55,719 a code. What AI does, what we do, as I 750 00:36:55,880 --> 00:36:59,559 understand it, is to make sure that it's just like us. 751 00:37:00,039 --> 00:37:00,559 Speaker 2: The affairs. 752 00:37:02,760 --> 00:37:07,000 Speaker 3: Yes, the key to achieving pulls driving unsupervised full self 753 00:37:07,039 --> 00:37:10,119 driving safe than the human is improving the AI software 754 00:37:10,159 --> 00:37:13,159 in the car. We're confident that the a hardware that's 755 00:37:13,199 --> 00:37:15,320 that's a trip that we designed currently made my sentence, 756 00:37:16,079 --> 00:37:20,320 is capable of achieving a safety level unsupervised, meaning if 757 00:37:20,360 --> 00:37:21,960 you're a sleep in the car at least two to 758 00:37:22,119 --> 00:37:28,039 three times out of the average, right, maybe more, And 759 00:37:28,159 --> 00:37:30,760 then with a I five we think achieve probably a 760 00:37:30,920 --> 00:37:33,599 tanic improvement in safety. 761 00:37:33,760 --> 00:37:35,159 Speaker 4: So these are really big deals. 762 00:37:35,159 --> 00:37:37,199 Speaker 3: So, I mean, I think it's like it's a very 763 00:37:37,280 --> 00:37:39,559 profound things that I'm saying here, and I really encourage 764 00:37:39,559 --> 00:37:41,199 people to go out there and try it because of 765 00:37:41,559 --> 00:37:43,800 self driving and see for yourself. 766 00:37:44,000 --> 00:37:46,039 Speaker 4: You can just go to any Taelis. They'll show to 767 00:37:46,079 --> 00:37:47,320 you and it's not secret. 768 00:37:47,480 --> 00:37:51,639 Speaker 1: See everyone here. You're benefiting if you try this and 769 00:37:51,719 --> 00:37:53,880 then buy it. But once you try it, you're going 770 00:37:53,960 --> 00:37:57,519 to buy it. You should try it. And so I 771 00:37:57,639 --> 00:38:01,079 want to close on what I mentioned this morning on 772 00:38:01,559 --> 00:38:05,440 CNBC was that you're not doing this so you can 773 00:38:05,480 --> 00:38:06,960 get enough money to buy a beach house. 774 00:38:08,199 --> 00:38:10,400 Speaker 2: You're doing You're doing this even mine. 775 00:38:12,039 --> 00:38:16,079 Speaker 4: Yeah that's right, but but but but you're doing. 776 00:38:15,960 --> 00:38:20,880 Speaker 1: This because you know, Harry Page was right, You're you're 777 00:38:20,880 --> 00:38:23,800 a specious that you think humans should survive. 778 00:38:24,480 --> 00:38:27,880 Speaker 4: Yes, I'm a bachelor pro human. 779 00:38:29,719 --> 00:38:34,320 Speaker 1: I mean, so you're you're spending Actually, whether you're worth 780 00:38:34,320 --> 00:38:37,400 another trillion dollars or four hundred bigs doesn't really matter. 781 00:38:37,960 --> 00:38:39,159 Speaker 2: What are you going to do with all this money 782 00:38:39,159 --> 00:38:39,559 at the end? 783 00:38:39,719 --> 00:38:39,960 Speaker 3: What? What? 784 00:38:40,440 --> 00:38:42,360 Speaker 2: What's your plan? How do you want people to think 785 00:38:42,400 --> 00:38:42,679 about you? 786 00:38:42,840 --> 00:38:44,920 Speaker 3: You know, mostly I need to have enough of ownership 787 00:38:44,960 --> 00:38:46,920 with the companies to be able to continue to direct 788 00:38:46,920 --> 00:38:50,199 their activities. But it's from a crystal consumption standpoint, I 789 00:38:50,519 --> 00:38:53,719 don't actually do on any vacations, and I just sort of, 790 00:38:53,800 --> 00:38:56,280 you know, medium sized house and and I actually a 791 00:38:56,360 --> 00:38:57,119 tiny house. 792 00:38:56,960 --> 00:38:57,679 Speaker 4: At stall Base. 793 00:38:58,800 --> 00:39:00,760 Speaker 2: I've seen that house. It is tiny. 794 00:39:00,960 --> 00:39:04,119 Speaker 3: Yeah yeah, but actually people my friends might have come 795 00:39:04,159 --> 00:39:06,000 to visit. Then they thought I was kidding. I'm like, no, 796 00:39:06,119 --> 00:39:09,760 it's really about of eight thousand dollars. But I've done 797 00:39:09,760 --> 00:39:10,639 a lot with the place. 798 00:39:10,679 --> 00:39:13,920 Speaker 1: Artificial turf in front a little white pitte of fans. 799 00:39:14,320 --> 00:39:16,679 Speaker 3: But like I said, with with A and robotics, there 800 00:39:16,719 --> 00:39:21,039 will be abindance girl though people Actually, in fact, in 801 00:39:21,119 --> 00:39:25,000 a benign scenario, it's gonna be interesting threshold that that 802 00:39:25,199 --> 00:39:28,000 AI passes and the ancrobotics pass, where it's run out 803 00:39:28,039 --> 00:39:33,000 of things to do for humans. Literally, it's it's completely 804 00:39:33,719 --> 00:39:37,360 satiated all human ones. And then I guess you'll have 805 00:39:37,400 --> 00:39:40,119 to start thinking about working for itself or I don't know. Overall, 806 00:39:40,199 --> 00:39:43,480 want to take the set of actions that expand consciousness 807 00:39:44,119 --> 00:39:49,079 into the future, so that the gopen Scala consciousness brokes tremendously, 808 00:39:50,079 --> 00:39:53,480 and that we explore other star systems like in Star 809 00:39:53,599 --> 00:39:57,480 Trek co places and we have gone before, and find 810 00:39:57,519 --> 00:40:00,559 out if there are existing alien civilizations. For maybe there's 811 00:40:00,559 --> 00:40:03,280 a long bit alien civilization, and we can look through 812 00:40:03,320 --> 00:40:07,960 their understand what they were lying, and just generally understand 813 00:40:08,000 --> 00:40:08,519 the universe.