1 00:00:03,920 --> 00:00:06,840 Speaker 1: Well, Elon Muski is now the richest person on the planet. 2 00:00:07,160 --> 00:00:10,000 Speaker 2: More than half the satellites in space are owned and 3 00:00:10,119 --> 00:00:12,040 Speaker 2: controlled by one man. 4 00:00:12,400 --> 00:00:16,440 Speaker 1: Starting his own artificial intelligence company. Well, he's a legitimate, 5 00:00:16,480 --> 00:00:20,520 Speaker 1: super genius. Legitimate, he says. He's always voted for Democrats, 6 00:00:20,560 --> 00:00:21,960 Speaker 1: but this year it will be different. 7 00:00:22,000 --> 00:00:23,000 Speaker 3: He'll vote Republican. 8 00:00:23,239 --> 00:00:25,720 Speaker 1: There is a reason the US government is so reliant 9 00:00:25,760 --> 00:00:26,160 Speaker 1: on him. 10 00:00:26,320 --> 00:00:29,920 Speaker 4: Elon Musk is a scam artist and he's done nothing. 11 00:00:30,560 --> 00:00:33,280 Speaker 3: Anything he does is fascinating the people. 12 00:00:42,200 --> 00:00:47,680 Speaker 2: Hello, and welcome to bonus episode of Elaning. I'm David Papadopolos, 13 00:00:47,720 --> 00:00:50,400 Speaker 2: your host of the show, where we discuss Elon Musk's 14 00:00:50,479 --> 00:00:54,000 Speaker 2: vast corporate empire, his latest gambits and antics, and how 15 00:00:54,080 --> 00:00:57,000 Speaker 2: to make sense of it all. We are coming to 16 00:00:57,040 --> 00:01:00,280 Speaker 2: you twice this week. Trust me. Now, this be a 17 00:01:00,320 --> 00:01:04,200 Speaker 2: regular thing, but we have something really special to share. 18 00:01:04,760 --> 00:01:09,039 Speaker 2: Elon Musk. Biographer and BusinessWeek reporter Ashley Vance has written 19 00:01:09,040 --> 00:01:12,640 Speaker 2: a cover story for the magazine on Neuralink, Musk's biotech 20 00:01:12,680 --> 00:01:16,600 Speaker 2: startup that makes SpaceX goal to go to Mars look pedestrian. 21 00:01:17,240 --> 00:01:20,040 Speaker 2: This company aims to do nothing less than put chips 22 00:01:20,040 --> 00:01:23,840 Speaker 2: in human brains. Here's how Musk explained the idea back 23 00:01:23,880 --> 00:01:27,200 Speaker 2: in twenty nineteen at the Neuralink launch event. 24 00:01:27,280 --> 00:01:30,279 Speaker 1: Meaning that we can ultimately. 25 00:01:31,840 --> 00:01:34,480 Speaker 3: Yeah, those are gonna sound pretty weird, but achieve a 26 00:01:34,520 --> 00:01:36,920 Speaker 3: sort of symbiosis with artificial intelligence. 27 00:01:37,560 --> 00:01:40,920 Speaker 2: Ashley has gotten exclusive access to Neuralink's labs and has 28 00:01:40,920 --> 00:01:45,280 Speaker 2: done intensive reporting on what is and isn't happening inside 29 00:01:45,280 --> 00:01:49,720 Speaker 2: one of Musk's most controversial companies. To discuss this and more, 30 00:01:50,000 --> 00:01:54,600 Speaker 2: we've beamed him in from powel alto Welcome Ashley, Thanks 31 00:01:54,600 --> 00:01:57,920 Speaker 2: for having me. We've also got with us Sarah McBride, 32 00:01:57,960 --> 00:02:05,120 Speaker 2: who covers Neuralink for Bloomberg. Hello, Sarah, Thanks so Ashley. 33 00:02:05,560 --> 00:02:09,320 Speaker 2: We'll start with you. You spent lots of time inside 34 00:02:09,360 --> 00:02:13,360 Speaker 2: the lab these past few years for this story. You know, 35 00:02:14,040 --> 00:02:17,680 Speaker 2: hit me with your with your main findings. I should 36 00:02:17,720 --> 00:02:21,160 Speaker 2: I be, should I in humanity be more excited than 37 00:02:21,280 --> 00:02:23,760 Speaker 2: scared about all this? Or vice versa? 38 00:02:25,800 --> 00:02:27,360 Speaker 1: Well, I think you know. 39 00:02:27,440 --> 00:02:30,200 Speaker 3: My big takeaway is that neuralinks a little bit different 40 00:02:30,320 --> 00:02:33,600 Speaker 3: that Elon has been pitching it for the last couple 41 00:02:33,639 --> 00:02:36,600 Speaker 3: of years. Elon always brings us as like this big 42 00:02:36,760 --> 00:02:40,760 Speaker 3: leap forward and creating cyborgs between between humans and machines, 43 00:02:40,840 --> 00:02:44,240 Speaker 3: and you know that that billions of people are gonna 44 00:02:44,440 --> 00:02:46,799 Speaker 3: put their hand up to have this elective surgery to 45 00:02:46,840 --> 00:02:50,600 Speaker 3: put a brain implant into their heads. The reality is, 46 00:02:50,720 --> 00:02:54,600 Speaker 3: you know, for the foreseeable future, this device really will 47 00:02:54,639 --> 00:02:57,240 Speaker 3: be aimed at people in the worst you know, suffering 48 00:02:57,280 --> 00:03:01,720 Speaker 3: from very debilitating conditions like prows, the strokes, als, things 49 00:03:01,760 --> 00:03:06,360 Speaker 3: like that, and this brain implant has the promise of 50 00:03:06,480 --> 00:03:10,160 Speaker 3: helping them communicate with their loved ones, to use a computer, 51 00:03:10,360 --> 00:03:13,880 Speaker 3: possibly even to when they're paralyzed, to get sensation and 52 00:03:13,960 --> 00:03:16,240 Speaker 3: movement back in their limbs. And so, you know, this 53 00:03:16,400 --> 00:03:18,400 Speaker 3: was my big takeaway from the story is that, in 54 00:03:18,440 --> 00:03:21,839 Speaker 3: typical Elon fashion, he's kind of presented this thing in 55 00:03:21,880 --> 00:03:26,000 Speaker 3: its most fanciful terms, but the actual reality of it 56 00:03:25,760 --> 00:03:29,040 Speaker 3: is very exciting and just just more pragmatic and aimed 57 00:03:29,120 --> 00:03:30,440 Speaker 3: at a different group of people. 58 00:03:30,880 --> 00:03:35,000 Speaker 2: You also have Musk quoted in here talking about how 59 00:03:35,720 --> 00:03:38,360 Speaker 2: down the road, the reason why this thing all has 60 00:03:38,400 --> 00:03:41,840 Speaker 2: to happen super fast is to stave off and defeat 61 00:03:42,400 --> 00:03:45,640 Speaker 2: artificial intelligence. The quote is, we need to get there 62 00:03:45,680 --> 00:03:49,040 Speaker 2: before the AI takes over. We want to get there 63 00:03:49,080 --> 00:03:54,920 Speaker 2: with a maniacal sense of urgency maniacal. I mean, Sarah, 64 00:03:54,960 --> 00:03:55,680 Speaker 2: help me here. 65 00:03:56,240 --> 00:04:01,920 Speaker 4: I'd say maniacal is on target. He's definitely reporting. He's 66 00:04:02,080 --> 00:04:06,960 Speaker 4: just pushing those employees so hard to move fast. And 67 00:04:07,400 --> 00:04:09,360 Speaker 4: you have to be a little bit maniacal to talk 68 00:04:09,400 --> 00:04:14,160 Speaker 4: about putting implants in somebody's brain. One thing that surprised 69 00:04:14,200 --> 00:04:17,280 Speaker 4: me when I started reporting on neuralink was how many 70 00:04:17,360 --> 00:04:21,360 Speaker 4: thousands of people are walking around this earth with implants 71 00:04:21,360 --> 00:04:24,960 Speaker 4: in their brains already. But what he wants to do 72 00:04:25,480 --> 00:04:28,880 Speaker 4: is just far more ambitious than some of these other 73 00:04:28,920 --> 00:04:35,040 Speaker 4: companies which are really specialized. These chips might fix episodes 74 00:04:35,080 --> 00:04:38,240 Speaker 4: of epilepsy, for example, or help somebody with Parkinson's, and 75 00:04:38,320 --> 00:04:40,599 Speaker 4: his ambitions are just so much broader than that. 76 00:04:40,920 --> 00:04:42,680 Speaker 2: Yeah, So talk to me for a second about what 77 00:04:42,800 --> 00:04:47,320 Speaker 2: the rest of the industry looks like. There are companies 78 00:04:47,360 --> 00:04:50,960 Speaker 2: out there that are ahead of neuralink, Sarah. 79 00:04:50,279 --> 00:04:54,080 Speaker 4: Yeah, in some ways. In some ways, there are companies 80 00:04:54,120 --> 00:04:58,560 Speaker 4: that you know, for years have put implants in people's brains. 81 00:04:58,600 --> 00:05:01,520 Speaker 4: They some of them have been very ugly and required 82 00:05:02,080 --> 00:05:05,159 Speaker 4: you to only use them in lab settings. You might 83 00:05:05,279 --> 00:05:08,640 Speaker 4: have some sort of protrusion from the back of your 84 00:05:08,720 --> 00:05:13,560 Speaker 4: head while using these what Elan Musk has done has 85 00:05:13,680 --> 00:05:18,560 Speaker 4: kind of raised the standards, so that now baseline for 86 00:05:18,600 --> 00:05:21,080 Speaker 4: anybody who's trying to make an implant is it has 87 00:05:21,120 --> 00:05:25,640 Speaker 4: to be invisible. It has to be hidden under the 88 00:05:25,680 --> 00:05:28,599 Speaker 4: skin of your scalp at the very least. That's table 89 00:05:28,640 --> 00:05:33,200 Speaker 4: stakes now. And because he's interested, hundreds and hundreds of 90 00:05:33,200 --> 00:05:35,520 Speaker 4: millions of dollars have flown into this space. 91 00:05:36,080 --> 00:05:39,359 Speaker 2: Yeah, to that point on the difference between what he's 92 00:05:39,400 --> 00:05:41,919 Speaker 2: doing and what others have done so far already. You know, 93 00:05:42,000 --> 00:05:46,040 Speaker 2: Ashley in the piece, you call it the world's most 94 00:05:46,240 --> 00:05:49,360 Speaker 2: powerful and elegant brain implant. 95 00:05:49,640 --> 00:05:53,800 Speaker 3: Why well, you know, to Sarah's point, the existing devices, 96 00:05:53,920 --> 00:05:56,560 Speaker 3: if you look at some of their immediate competitors, just 97 00:05:56,640 --> 00:05:59,880 Speaker 3: in terms of raw computer horsepower, the typical devices have 98 00:06:00,120 --> 00:06:04,039 Speaker 3: about sixteen electrodes on these these thin wires that get 99 00:06:04,080 --> 00:06:08,239 Speaker 3: embedded somewhere in your body, and neuralinksaplant will have more 100 00:06:08,360 --> 00:06:10,160 Speaker 3: than a thousand, you know, I mean, this is just 101 00:06:10,200 --> 00:06:13,719 Speaker 3: a huge leap forward in terms of computing. And then 102 00:06:13,880 --> 00:06:16,000 Speaker 3: also to Sarah's point, you know, the other devices have 103 00:06:16,080 --> 00:06:20,800 Speaker 3: a separate, very large hardware unit that contains the battery 104 00:06:21,560 --> 00:06:25,240 Speaker 3: computing systems to amplify signals coming from your brain. Neuralink 105 00:06:25,279 --> 00:06:29,360 Speaker 3: has baked everything into a quarter sized device that fits 106 00:06:29,440 --> 00:06:34,640 Speaker 3: completely flush with your skull and is rechargeable wirelessly, So 107 00:06:34,839 --> 00:06:37,280 Speaker 3: you know, it's much closer to like what you would 108 00:06:37,279 --> 00:06:40,600 Speaker 3: think of with a consumer electrotronics product, whereas everything else 109 00:06:40,760 --> 00:06:44,360 Speaker 3: really looks like it's come from a research laboratory of. 110 00:06:44,279 --> 00:06:49,080 Speaker 4: The existing products. But there are also several companies in development. 111 00:06:49,200 --> 00:06:52,320 Speaker 4: There's you know, at least one other precision neuroscience that's 112 00:06:52,440 --> 00:06:56,320 Speaker 4: also working on over one thousand electrodes. So you can 113 00:06:56,360 --> 00:07:01,240 Speaker 4: see a future where there'll be many companies with variations 114 00:07:01,360 --> 00:07:04,480 Speaker 4: on this theme, and maybe Neuralink will have more of 115 00:07:04,520 --> 00:07:08,159 Speaker 4: something and another company will have more of something else. 116 00:07:09,000 --> 00:07:12,160 Speaker 2: So the ideas we're going to stave off as muscas, 117 00:07:12,160 --> 00:07:13,920 Speaker 2: that we're going to stave off sci fi, and we're 118 00:07:13,920 --> 00:07:16,560 Speaker 2: gonna defeat AI with this, and we're going to defeat 119 00:07:16,600 --> 00:07:19,680 Speaker 2: the bots. I guess my question is if I'm having 120 00:07:19,760 --> 00:07:23,000 Speaker 2: an implant put in my brain in which I am, 121 00:07:23,480 --> 00:07:27,360 Speaker 2: information is being downloaded in my brain and so there's 122 00:07:27,400 --> 00:07:30,000 Speaker 2: this flow back and forth, isn't there not the risk 123 00:07:30,040 --> 00:07:33,760 Speaker 2: that I become essentially controlled, I become a bot myself. 124 00:07:34,680 --> 00:07:37,920 Speaker 3: This is the central flow with most of Elon's AI. 125 00:07:38,600 --> 00:07:41,000 Speaker 3: You know, shoebag I me he this is a guy 126 00:07:41,040 --> 00:07:46,000 Speaker 3: who says AI might ruin the human species and send 127 00:07:46,040 --> 00:07:48,720 Speaker 3: us all into doom. And yet you know he's He's 128 00:07:48,760 --> 00:07:52,680 Speaker 3: funded now too. AI research startups. Tesla has as many 129 00:07:52,760 --> 00:07:55,600 Speaker 3: AI researchers as you could possibly have. 130 00:07:56,040 --> 00:08:00,680 Speaker 4: Remember when pacemakers came out and people predicted that those 131 00:08:00,760 --> 00:08:03,880 Speaker 4: with pacemakers would die in their thousands when people took 132 00:08:03,880 --> 00:08:06,680 Speaker 4: over their pacemakers and turned them off, and that just 133 00:08:06,760 --> 00:08:09,400 Speaker 4: never happened. I mean not to say it won't, right, 134 00:08:09,840 --> 00:08:16,680 Speaker 4: but I sometimes think the worst case scenarios are over dramatized, 135 00:08:16,760 --> 00:08:20,680 Speaker 4: and then the medium and poor case scenarios, or I 136 00:08:20,680 --> 00:08:24,239 Speaker 4: think there's far more chance that things will go mildly wrong. 137 00:08:28,320 --> 00:08:31,600 Speaker 2: All right now, Sarah, they have not put any of 138 00:08:31,600 --> 00:08:35,360 Speaker 2: these in any humans human heads yet, plenty of animal heads, 139 00:08:35,360 --> 00:08:38,480 Speaker 2: no human heads. But Sarah, there is no shortage of 140 00:08:38,559 --> 00:08:39,839 Speaker 2: Volunteers's right. 141 00:08:40,040 --> 00:08:42,160 Speaker 4: You can go on to acts and see them people 142 00:08:42,440 --> 00:08:47,200 Speaker 4: tweeting at Elon musk Hey I volunteer. Several years ago, 143 00:08:47,440 --> 00:08:50,320 Speaker 4: when Neuralink was at a much earlier phase, somebody who 144 00:08:50,360 --> 00:08:55,000 Speaker 4: worked there said they regularly got messages from people sometimes 145 00:08:55,040 --> 00:08:59,240 Speaker 4: people standing outside the door of the offices then saying 146 00:08:59,280 --> 00:09:04,360 Speaker 4: that they volunteer. And also there are lots of really 147 00:09:04,679 --> 00:09:09,680 Speaker 4: sick people whose doctors are recommending they try various trials 148 00:09:10,200 --> 00:09:12,439 Speaker 4: that are along these lines. So I think they can, 149 00:09:12,559 --> 00:09:17,280 Speaker 4: through legitimate medical channels, find people who are willing to 150 00:09:17,320 --> 00:09:20,720 Speaker 4: try one of these. And no, they haven't been in 151 00:09:20,840 --> 00:09:24,800 Speaker 4: human brains yet, and some of the other companies started 152 00:09:24,840 --> 00:09:28,720 Speaker 4: by people who used to work at Neuralink have already had, 153 00:09:28,800 --> 00:09:32,439 Speaker 4: Like Precision Neuroscience was just in a human brain, albeit 154 00:09:32,600 --> 00:09:36,520 Speaker 4: very briefly in a hospital surgical setting. But in some 155 00:09:36,679 --> 00:09:40,800 Speaker 4: ways they're behind some of these other next generation companies 156 00:09:40,960 --> 00:09:41,520 Speaker 4: all right now. 157 00:09:41,559 --> 00:09:45,960 Speaker 2: But actually, if I remember correctly, they have been. Neuralink 158 00:09:46,679 --> 00:09:49,920 Speaker 2: has been and is in the brains of monkeys, pigs, 159 00:09:50,040 --> 00:09:52,480 Speaker 2: and sheep. And there have been a lot of reports 160 00:09:52,520 --> 00:09:57,679 Speaker 2: out there from our competitors about cruelty to animals and 161 00:09:57,760 --> 00:10:01,160 Speaker 2: how they've been excessive in many cases. At neuralink, what 162 00:10:01,280 --> 00:10:03,680 Speaker 2: did you find during your reporting. 163 00:10:03,720 --> 00:10:07,400 Speaker 3: I mean, animal testing is unpleasant. You know, we've sort 164 00:10:07,440 --> 00:10:09,640 Speaker 3: of made a choice as a species that we're going 165 00:10:09,720 --> 00:10:12,560 Speaker 3: to do this kind of thing, and there's no getting 166 00:10:12,559 --> 00:10:15,440 Speaker 3: around that. The actual care that the animals had that. 167 00:10:15,480 --> 00:10:17,600 Speaker 3: I saw the monkeys, the sheep, the pigs, they have 168 00:10:17,679 --> 00:10:21,800 Speaker 3: things to play with. It's mostly volunteer, you know, So 169 00:10:22,080 --> 00:10:23,840 Speaker 3: just so people understand, I mean, I was in a 170 00:10:23,920 --> 00:10:27,640 Speaker 3: room with monkeys sitting in front of laptop screens while 171 00:10:27,679 --> 00:10:30,520 Speaker 3: they were playing games using their their thoughts. 172 00:10:30,760 --> 00:10:33,440 Speaker 2: I think you wrote Ashley that it's even it looks 173 00:10:33,480 --> 00:10:35,960 Speaker 2: even weirder than it sounds. It sounds pretty weird. 174 00:10:36,040 --> 00:10:37,680 Speaker 3: I mean, it's pretty strange to go to room with 175 00:10:37,720 --> 00:10:40,400 Speaker 3: a bunch of bunkies on laptops and you know, sometimes 176 00:10:40,400 --> 00:10:43,080 Speaker 3: they're using their their hands and sometimes they're just using 177 00:10:43,120 --> 00:10:46,360 Speaker 3: their thoughts to move these cursors around the screen. They 178 00:10:46,400 --> 00:10:48,079 Speaker 3: just kind of go and sit in front of the 179 00:10:48,120 --> 00:10:50,040 Speaker 3: screen and they have a smoothie that they can pick 180 00:10:50,120 --> 00:10:53,040 Speaker 3: from an iPad what kind of smoothie they want. Well, 181 00:10:53,080 --> 00:10:55,720 Speaker 3: they while they do their test. When they're finished, they 182 00:10:55,760 --> 00:10:57,360 Speaker 3: don't want to do it anymore. They just they just 183 00:10:57,440 --> 00:10:58,000 Speaker 3: kind of leave. 184 00:10:58,400 --> 00:11:01,360 Speaker 2: During the reporting over these several years, you saw some 185 00:11:01,440 --> 00:11:03,760 Speaker 2: of the monkeys throughout that time, right. 186 00:11:04,280 --> 00:11:06,199 Speaker 3: Yeah, I mean this has been one of the contentions, 187 00:11:06,240 --> 00:11:09,400 Speaker 3: is that the neuralink, you know, was rushing these procedures. 188 00:11:10,280 --> 00:11:12,079 Speaker 3: The stories make it sound like they were sort of 189 00:11:12,200 --> 00:11:14,560 Speaker 3: dying all the time. All I can tell you is 190 00:11:14,600 --> 00:11:17,760 Speaker 3: that I saw the same group of seventeen monkeys over 191 00:11:17,800 --> 00:11:21,040 Speaker 3: three years, and they were always the same, and they 192 00:11:21,120 --> 00:11:23,040 Speaker 3: appeared healthy and were doing their tests. 193 00:11:23,080 --> 00:11:24,520 Speaker 1: And that's what I saw. 194 00:11:25,040 --> 00:11:27,240 Speaker 2: And just to be clear, Neuralink stresses that the most 195 00:11:27,240 --> 00:11:30,199 Speaker 2: troubling reports come from its early years before it built 196 00:11:30,200 --> 00:11:33,600 Speaker 2: its own testing facility in Fremont, and it says it's 197 00:11:33,640 --> 00:11:36,360 Speaker 2: gone to great lengths to provide better living conditions there. 198 00:11:36,920 --> 00:11:40,920 Speaker 4: I went to the old UC Davis Neuralink facility and 199 00:11:41,280 --> 00:11:45,520 Speaker 4: they drove me around the outside pens only. I was 200 00:11:45,559 --> 00:11:49,200 Speaker 4: not allowed to go inside where the actual experiments and 201 00:11:49,280 --> 00:11:52,720 Speaker 4: research was taking place. And I think that's telling that 202 00:11:52,840 --> 00:11:55,920 Speaker 4: they just didn't allow reporters in that area at all. 203 00:11:55,960 --> 00:11:59,080 Speaker 4: And it sounds like what you saw was very different. 204 00:11:59,559 --> 00:12:03,040 Speaker 4: I think there's a big difference between how are the 205 00:12:03,160 --> 00:12:06,959 Speaker 4: animals cared for and how is the surgery done? And 206 00:12:07,000 --> 00:12:11,480 Speaker 4: a lot of the reporting indicated many of the mistakes 207 00:12:11,800 --> 00:12:15,360 Speaker 4: were during the surgeries, unfortunately, and that's a whole different 208 00:12:15,400 --> 00:12:19,040 Speaker 4: team from the people who actually take care of the animals, 209 00:12:19,320 --> 00:12:21,080 Speaker 4: which is totally true, Ashley. 210 00:12:21,360 --> 00:12:23,920 Speaker 2: There are in the story. There are scenes of what 211 00:12:24,000 --> 00:12:27,120 Speaker 2: I call musk speed, where he just wants to go go, go. 212 00:12:27,240 --> 00:12:30,439 Speaker 2: Back to the maniacal aspect of it. How does musk 213 00:12:30,480 --> 00:12:32,720 Speaker 2: speed and that we got to go a million miles 214 00:12:32,720 --> 00:12:36,480 Speaker 2: an hour square and jive with treeding the animals? 215 00:12:36,520 --> 00:12:40,000 Speaker 3: Okay, well, you know, mostly at the point they're at now. 216 00:12:40,040 --> 00:12:42,840 Speaker 3: I mean, he just wants to barrel forward with this 217 00:12:43,000 --> 00:12:46,079 Speaker 3: clinical trial on the humans, and so musk speed is 218 00:12:46,160 --> 00:12:49,080 Speaker 3: kind of a I don't just want to implant one person. 219 00:12:49,160 --> 00:12:52,160 Speaker 3: I want to ride out of the gate implant as 220 00:12:52,200 --> 00:12:54,720 Speaker 3: many as possible. And so I was in some meetings 221 00:12:54,760 --> 00:12:57,240 Speaker 3: where you know, these poor lieutenants had the job of 222 00:12:57,400 --> 00:12:59,800 Speaker 3: telling Elon that was not going to be possible, and 223 00:13:01,040 --> 00:13:02,679 Speaker 3: I think, you know, as a quote in there age 224 00:13:02,720 --> 00:13:05,000 Speaker 3: just as unacceptable, you know, when he's told that they'll 225 00:13:05,000 --> 00:13:07,840 Speaker 3: only be able to implant one one human out of 226 00:13:07,840 --> 00:13:12,400 Speaker 3: the get go. My overall impression is that, you know, 227 00:13:12,440 --> 00:13:14,960 Speaker 3: these stories are hard to read. All I can tell 228 00:13:14,960 --> 00:13:17,040 Speaker 3: you is that my overall impression is that people were 229 00:13:17,040 --> 00:13:19,440 Speaker 3: looking out for the welfare of the animals, and they're 230 00:13:19,480 --> 00:13:21,240 Speaker 3: all trying to sort of get to this place where 231 00:13:21,240 --> 00:13:24,719 Speaker 3: they can help humans who are in pretty dire circumstances, 232 00:13:24,960 --> 00:13:28,440 Speaker 3: and you know, Elon does add a lot of pressure, 233 00:13:28,480 --> 00:13:30,960 Speaker 3: and so you know there's the chance for kind of 234 00:13:31,040 --> 00:13:34,839 Speaker 3: irrational decisions to happen in that. But I did come away, 235 00:13:35,000 --> 00:13:36,440 Speaker 3: you know, impressed overall. 236 00:13:36,600 --> 00:13:38,600 Speaker 2: So at the same time, right, so moving away from 237 00:13:38,640 --> 00:13:40,800 Speaker 2: the animals to the humans, right, you have musk speed 238 00:13:40,840 --> 00:13:42,920 Speaker 2: on the one hand, and then on the other hand, 239 00:13:42,920 --> 00:13:45,480 Speaker 2: you have all the risks that come with this as 240 00:13:46,160 --> 00:13:48,960 Speaker 2: they start going, especially in the human brains. You have 241 00:13:49,160 --> 00:13:52,720 Speaker 2: the director of Special Projects there at Neuralink, Shavonzilla, saying 242 00:13:52,760 --> 00:13:56,720 Speaker 2: in your piece, we can't blow up the first three 243 00:13:57,160 --> 00:14:00,880 Speaker 2: being brains. I e. This is not SpaceX putting rockets 244 00:14:00,960 --> 00:14:05,440 Speaker 2: up into space. That's not an option here. You also 245 00:14:05,600 --> 00:14:07,480 Speaker 2: go on to say, and this is in your own words, 246 00:14:07,520 --> 00:14:10,480 Speaker 2: you say, you know, God, if you know chemicals started 247 00:14:10,559 --> 00:14:13,440 Speaker 2: leaking into the brain, which is a frightening thought. I mean, 248 00:14:13,440 --> 00:14:17,680 Speaker 2: how great is the risk here in terms of legal 249 00:14:17,800 --> 00:14:19,520 Speaker 2: risks and so on. 250 00:14:21,280 --> 00:14:23,960 Speaker 3: Well, I mean this is about as risky as it gets, 251 00:14:24,000 --> 00:14:25,640 Speaker 3: you know, I mean, if something goes wrong. This is 252 00:14:26,320 --> 00:14:30,120 Speaker 3: Historically Elon's companies have had false starts. SpaceX did blow 253 00:14:30,200 --> 00:14:32,840 Speaker 3: up its first three rockets. It took Tesla almost a 254 00:14:32,880 --> 00:14:34,479 Speaker 3: decade to be able to mass. 255 00:14:34,200 --> 00:14:35,160 Speaker 1: Produce a car. 256 00:14:35,680 --> 00:14:38,200 Speaker 3: You know, there's really not that same sort of room 257 00:14:38,480 --> 00:14:42,240 Speaker 3: for error because this first person presumably will be able 258 00:14:42,280 --> 00:14:45,280 Speaker 3: to communicate on some level, you know, with the outside 259 00:14:45,280 --> 00:14:48,960 Speaker 3: where they're going to be paralyzed, but they likely can 260 00:14:49,160 --> 00:14:51,960 Speaker 3: just talk and tell us their experience with this implant. 261 00:14:52,400 --> 00:14:57,680 Speaker 3: They had to submit fifteen thousand pages of tests data 262 00:14:57,720 --> 00:15:00,680 Speaker 3: and other data to the FDA, which is, you know, 263 00:15:00,840 --> 00:15:03,920 Speaker 3: just even more than a rocket to get this. To 264 00:15:03,920 --> 00:15:06,720 Speaker 3: get this approved, I saw some strange machines that they 265 00:15:06,720 --> 00:15:09,680 Speaker 3: had built to put the implant through, you know, to 266 00:15:09,720 --> 00:15:13,000 Speaker 3: simulate five ten years of use in this kind of 267 00:15:13,000 --> 00:15:15,680 Speaker 3: synthetic brain fluid that been that. 268 00:15:15,640 --> 00:15:16,440 Speaker 1: They had created. 269 00:15:16,640 --> 00:15:19,520 Speaker 3: And so but you know, yeah, this I think it's 270 00:15:19,600 --> 00:15:22,160 Speaker 3: kind of like a make or break moment in some ways. 271 00:15:21,960 --> 00:15:24,000 Speaker 1: That was the point I was trying to get at. 272 00:15:27,840 --> 00:15:32,760 Speaker 2: So Ashley, we quoted Shavon Zillis talking about the risk 273 00:15:32,800 --> 00:15:36,320 Speaker 2: of blowing up brains here. Now, there is some funkiness 274 00:15:36,320 --> 00:15:41,000 Speaker 2: here that's made some in the corporate governance world and 275 00:15:41,000 --> 00:15:45,360 Speaker 2: in the investing world a little uneasy because she and 276 00:15:45,400 --> 00:15:53,200 Speaker 2: Elon have twins together. What's that situation like they're inside 277 00:15:53,600 --> 00:15:57,600 Speaker 2: inside the company, and how loud at this point are 278 00:15:57,640 --> 00:15:59,200 Speaker 2: the critics speaking. 279 00:16:00,080 --> 00:16:04,920 Speaker 3: You know, Historically, Chavon has been this special projects kind 280 00:16:04,960 --> 00:16:08,280 Speaker 3: of person for Elon, jumping from from company to company 281 00:16:08,320 --> 00:16:10,880 Speaker 3: to work on different things, although she did focus on 282 00:16:10,920 --> 00:16:15,600 Speaker 3: Neuralink quite a bit for years. And Neuralink is essentially 283 00:16:15,680 --> 00:16:18,280 Speaker 3: run by I mean, Elon's the CEO, but he only 284 00:16:18,400 --> 00:16:21,160 Speaker 3: comes in and out every few weeks and it's basically 285 00:16:21,240 --> 00:16:24,960 Speaker 3: run by three people. It used to be four, including Chavon. 286 00:16:25,080 --> 00:16:27,600 Speaker 3: She's stepped away from the company a lot since she's 287 00:16:27,640 --> 00:16:28,320 Speaker 3: had the twins. 288 00:16:28,560 --> 00:16:31,680 Speaker 1: The company's shifted its base of. 289 00:16:31,640 --> 00:16:35,520 Speaker 3: Operations from Fremont, California to Austin, Texas, where Elon and 290 00:16:35,640 --> 00:16:37,840 Speaker 3: Chevon live, and so you know, that's kind of the 291 00:16:37,880 --> 00:16:41,080 Speaker 3: heart in the future of the company. I think there's 292 00:16:41,120 --> 00:16:45,000 Speaker 3: been a ton in the tabloids about Chavon and Elon's relationship. 293 00:16:45,080 --> 00:16:48,320 Speaker 1: It's clearly unusual, I think for investors. 294 00:16:48,400 --> 00:16:51,480 Speaker 3: I mean, Neuralinks had no problem raising money and it's 295 00:16:51,520 --> 00:16:54,280 Speaker 3: a it's a private company, and you know, like I say, 296 00:16:54,360 --> 00:16:56,680 Speaker 3: Chavon's kind of pulled away from a lot of the 297 00:16:56,760 --> 00:16:58,400 Speaker 3: day to day stuff that she used to do. 298 00:16:58,440 --> 00:16:58,640 Speaker 4: There. 299 00:16:59,480 --> 00:17:02,480 Speaker 2: Sarah beck to you, you said, hundreds of millions of 300 00:17:02,520 --> 00:17:05,840 Speaker 2: dollars have been invested in this company, largely by Musk. 301 00:17:06,320 --> 00:17:10,480 Speaker 2: Any sense of its value now and where it stands 302 00:17:10,480 --> 00:17:14,960 Speaker 2: in the constellation of elon companies in terms of its 303 00:17:15,000 --> 00:17:17,720 Speaker 2: valuation and its place in that constellation. 304 00:17:18,520 --> 00:17:21,960 Speaker 4: Lusk gave I think the first hundred million dollars for 305 00:17:22,040 --> 00:17:25,200 Speaker 4: the company, and since then he has raised money from 306 00:17:25,359 --> 00:17:31,199 Speaker 4: other legitimate venture capital firms. So it's very hard to 307 00:17:31,320 --> 00:17:35,160 Speaker 4: tell what the actual valuation of the company would be. 308 00:17:35,520 --> 00:17:39,640 Speaker 4: I think medical device makers have this issue in general, 309 00:17:39,760 --> 00:17:44,520 Speaker 4: where their stock prices, if they're publicly traded, go up 310 00:17:44,560 --> 00:17:47,879 Speaker 4: and down, and nobody really knows until the device or 311 00:17:47,880 --> 00:17:49,880 Speaker 4: the jug of whatever it is they're trying to make 312 00:17:49,920 --> 00:17:53,760 Speaker 4: its final approval, and then you see a dramatic rise 313 00:17:53,800 --> 00:17:56,439 Speaker 4: in the valuation of the company. So it's sort of 314 00:17:56,640 --> 00:18:00,560 Speaker 4: foolish to try to guess what the valuation of Neuralink 315 00:18:00,600 --> 00:18:03,879 Speaker 4: would be at this point. Maybe there'll be a better 316 00:18:03,920 --> 00:18:08,680 Speaker 4: idea after it does finally go into some human brains. 317 00:18:08,880 --> 00:18:11,440 Speaker 4: And there is also a point I'd like to make 318 00:18:11,720 --> 00:18:16,399 Speaker 4: about this school of thought in brain implants neuralinks, trying 319 00:18:16,440 --> 00:18:20,600 Speaker 4: to get those electrodes as close as possible to neurons. 320 00:18:20,720 --> 00:18:23,359 Speaker 4: But there are also a lot of very smart people 321 00:18:23,400 --> 00:18:26,800 Speaker 4: who believe that's the wrong philosophy. That it's like, if 322 00:18:26,840 --> 00:18:28,879 Speaker 4: you're looking at a painting and you go right up 323 00:18:28,920 --> 00:18:30,960 Speaker 4: and look at the job of paint, you're going to 324 00:18:30,960 --> 00:18:33,359 Speaker 4: have no idea what the painting's about. You need to 325 00:18:33,359 --> 00:18:35,600 Speaker 4: step back a little bit. So there are a lot 326 00:18:35,640 --> 00:18:37,760 Speaker 4: of people who think that the best place for the 327 00:18:37,840 --> 00:18:41,400 Speaker 4: electrodes is on the surface of the brain rather than 328 00:18:41,560 --> 00:18:45,080 Speaker 4: deep into the brain. And those companies have raised plenty 329 00:18:45,119 --> 00:18:48,200 Speaker 4: of money as well, and some of them are founded 330 00:18:48,240 --> 00:18:52,560 Speaker 4: by former neuralink people. So there are a lot of 331 00:18:52,600 --> 00:18:57,359 Speaker 4: smart people who think very different techniques will work for 332 00:18:57,400 --> 00:18:58,280 Speaker 4: the same ends. 333 00:18:59,040 --> 00:19:02,320 Speaker 2: Yeah, to that end. Actually, there are also right in 334 00:19:02,359 --> 00:19:05,439 Speaker 2: the industry, there is a sense a little bit related 335 00:19:05,440 --> 00:19:09,480 Speaker 2: to musk speed. It doesn't publish scientific papers and journals 336 00:19:09,480 --> 00:19:11,800 Speaker 2: that could be tested and verified by the scientific community 337 00:19:11,880 --> 00:19:14,199 Speaker 2: the way others would. How much of that did you 338 00:19:14,320 --> 00:19:18,159 Speaker 2: encounter and those sort of doubts creeping in. 339 00:19:19,520 --> 00:19:23,600 Speaker 3: Well, you know, their only real form of communication with 340 00:19:23,640 --> 00:19:26,400 Speaker 3: the outside world over these last few years has been 341 00:19:26,640 --> 00:19:29,840 Speaker 3: these public demonstrations that they've done about three or four times, 342 00:19:30,040 --> 00:19:32,920 Speaker 3: and you know, each time they've kind of been knocked 343 00:19:33,000 --> 00:19:37,440 Speaker 3: for basically replicating science that had happened many years earlier 344 00:19:37,600 --> 00:19:39,640 Speaker 3: in a laboratory and just kind of showing that they 345 00:19:39,760 --> 00:19:42,760 Speaker 3: could do it as well. And so and then Elon 346 00:19:42,880 --> 00:19:45,359 Speaker 3: gets on stage and it says, you know, we're going 347 00:19:45,400 --> 00:19:48,440 Speaker 3: from this thing that's already been accomplished by somebody else 348 00:19:48,520 --> 00:19:50,560 Speaker 3: to you know, but we're going to surpass the ball 349 00:19:50,640 --> 00:19:52,320 Speaker 3: and by leaps and bounds. 350 00:19:52,400 --> 00:19:54,720 Speaker 1: So you know, the proof is in the putting. 351 00:19:54,760 --> 00:19:56,640 Speaker 3: I mean, the thing that I was most impressed by 352 00:19:56,920 --> 00:20:00,520 Speaker 3: is the surgical robot, which is this like work of 353 00:20:00,680 --> 00:20:03,040 Speaker 3: engineering arts, and nobody else really has. 354 00:20:02,880 --> 00:20:05,879 Speaker 1: Something comparable to that. And the device itself really is 355 00:20:06,680 --> 00:20:07,240 Speaker 1: like amazing. 356 00:20:07,280 --> 00:20:09,160 Speaker 3: I mean, it's a it's got a battery in there, 357 00:20:09,680 --> 00:20:13,879 Speaker 3: Neuralink makes their own semiconductors, it's got all these amplifiers 358 00:20:13,880 --> 00:20:14,400 Speaker 3: to send this. 359 00:20:14,680 --> 00:20:17,080 Speaker 1: Like the amount of equipment it's. 360 00:20:16,960 --> 00:20:21,639 Speaker 3: Replacing would be like a refrigerator sized stack of computing 361 00:20:21,640 --> 00:20:24,439 Speaker 3: hardware in this tiny thing. And so you know, to that, 362 00:20:24,600 --> 00:20:27,880 Speaker 3: to that end, like they have accomplished something. The huge 363 00:20:27,920 --> 00:20:30,720 Speaker 3: question is like what is this human actually going to 364 00:20:30,800 --> 00:20:32,720 Speaker 3: be able to do? And is it more than what 365 00:20:32,840 --> 00:20:33,800 Speaker 3: has come before? 366 00:20:34,880 --> 00:20:38,000 Speaker 2: All right. So this brings me to my last question, 367 00:20:38,840 --> 00:20:43,359 Speaker 2: which is on a scale of zero to ten, zero 368 00:20:43,480 --> 00:20:51,439 Speaker 2: being no way, ten being hell yeah. Would you be 369 00:20:51,600 --> 00:20:53,240 Speaker 2: up for having one of these things be put in 370 00:20:53,240 --> 00:20:53,680 Speaker 2: your brain? 371 00:20:54,080 --> 00:20:58,120 Speaker 1: Ashley Bands right now, no way. 372 00:20:58,400 --> 00:21:01,760 Speaker 3: If you're a sero, I'll take my rocket, my rocket 373 00:21:01,800 --> 00:21:04,359 Speaker 3: to the moon, first rocket. 374 00:21:05,560 --> 00:21:10,800 Speaker 4: Sarah McBride, Absolutely not, unless I was paralyzed. Then we'd 375 00:21:10,800 --> 00:21:14,399 Speaker 4: go from like zero right now to like seven. I 376 00:21:14,560 --> 00:21:15,960 Speaker 4: would totally consider it. 377 00:21:16,880 --> 00:21:18,720 Speaker 1: That's actually it's a fantastic boy. 378 00:21:18,760 --> 00:21:21,080 Speaker 3: I know Sarah begel this before because I've talked to 379 00:21:21,080 --> 00:21:23,760 Speaker 3: a couple of people who had spinal implants for the story, 380 00:21:23,960 --> 00:21:27,320 Speaker 3: and I mean they're like begging to get this done, 381 00:21:27,600 --> 00:21:31,560 Speaker 3: you know. So it does depend on your life circumstances 382 00:21:31,640 --> 00:21:32,440 Speaker 3: quite drastically. 383 00:21:33,400 --> 00:21:35,520 Speaker 4: Elon said at one point that if one of his 384 00:21:35,560 --> 00:21:39,200 Speaker 4: own children needed this device, he wouldn't hesitate for one 385 00:21:39,240 --> 00:21:41,320 Speaker 4: of his kids to have it if they needed it. 386 00:21:41,400 --> 00:21:44,760 Speaker 2: All right, So, personally, I'm not having this thing put 387 00:21:44,760 --> 00:21:47,800 Speaker 2: in my brain until I see the whites of the 388 00:21:47,840 --> 00:21:53,760 Speaker 2: eyes of the AI bots coming at me. All right, 389 00:21:53,960 --> 00:21:56,919 Speaker 2: that's it. Let's call it quits. Thanks for listening to 390 00:21:56,960 --> 00:22:01,000 Speaker 2: Elon Inc. And thanks to our special guests and. 391 00:22:01,000 --> 00:22:03,840 Speaker 4: Sarah, thanks so much, Thank you very much. 392 00:22:04,720 --> 00:22:07,000 Speaker 2: You can read Ashley's article in this week's issue of 393 00:22:07,080 --> 00:22:18,760 Speaker 2: BusinessWeek and at bloomberg dot com slash BusinessWeek. Our supervising 394 00:22:18,800 --> 00:22:22,040 Speaker 2: producer is Magnus Hendrickson, and this episode was produced by 395 00:22:22,040 --> 00:22:26,800 Speaker 2: Stacy Wan. Naomi Shaven and Rayhan Harmanci are our senior editors. 396 00:22:27,320 --> 00:22:31,199 Speaker 2: The idea for this very show also came from Rayhan. 397 00:22:31,840 --> 00:22:35,639 Speaker 2: Blake Maples handles engineering, and we get special editing assistants 398 00:22:35,640 --> 00:22:39,680 Speaker 2: from Jeff Grocow thanks a bunch of BusinessWeek editor Joel 399 00:22:39,720 --> 00:22:43,199 Speaker 2: Weber as well. The elin ing theme is written and 400 00:22:43,280 --> 00:22:48,720 Speaker 2: performed by Taka Yasuzawa and Alex Sugiira. Sage Bauman is 401 00:22:48,760 --> 00:22:52,680 Speaker 2: the head of Bloomberg Podcasts and our executive producer. If 402 00:22:52,720 --> 00:22:55,320 Speaker 2: you have a minute, rate and review the show, it'll 403 00:22:55,359 --> 00:22:59,440 Speaker 2: help other listeners find us. I am David Papadopoulos. See 404 00:22:59,480 --> 00:23:00,000 Speaker 2: you next week. 405 00:23:02,320 --> 00:23:05,400 Speaker 4: Stept still extant.