1 00:00:00,200 --> 00:00:03,480 Speaker 1: Now here's a highlight from Coast to Coast AM on 2 00:00:03,600 --> 00:00:06,920 Speaker 1: iHeart Radio and welcome back to Coast to Coast George 3 00:00:06,960 --> 00:00:09,400 Speaker 1: Nori back with Amy Webb. We're talking about her work 4 00:00:09,480 --> 00:00:12,239 Speaker 1: the Genesis Machine. Amy. Right before the break, we were 5 00:00:12,280 --> 00:00:16,600 Speaker 1: talking about synthetic biology ridding the planet of disease. Not 6 00:00:16,680 --> 00:00:20,560 Speaker 1: quite going to happen, is it? No? No, it will 7 00:00:20,600 --> 00:00:24,720 Speaker 1: at some points start to eradicate disease for sure. In fact, 8 00:00:24,840 --> 00:00:28,360 Speaker 1: there are messenger RNA vaccines and again this is the 9 00:00:28,400 --> 00:00:33,600 Speaker 1: technology that is in the MODERNA and biointech vaccines. There's 10 00:00:33,680 --> 00:00:38,000 Speaker 1: messenger RNA vaccines in progress now for the flu from malaria, 11 00:00:38,280 --> 00:00:41,920 Speaker 1: and for many years they were being studied messenger rna 12 00:00:42,920 --> 00:00:46,320 Speaker 1: as a treatment for cancer. So I think, I think 13 00:00:46,320 --> 00:00:50,279 Speaker 1: we are definitely going to see new therapeutics and new 14 00:00:50,320 --> 00:00:55,200 Speaker 1: treatments that give us better options to deal with. You know, 15 00:00:55,200 --> 00:00:59,000 Speaker 1: some of the pathogens that exist and that we know of. 16 00:00:59,120 --> 00:01:01,080 Speaker 1: There's also a whole bunch of viruses and a whole 17 00:01:01,080 --> 00:01:04,640 Speaker 1: bunch of pathogens that, thank goodness, we haven't even come 18 00:01:04,640 --> 00:01:09,080 Speaker 1: into contact with. Another really interesting application of this is aging. 19 00:01:09,600 --> 00:01:13,520 Speaker 1: Synthetic biology is probably going to make aging kind of 20 00:01:13,560 --> 00:01:19,360 Speaker 1: a treatable problem. There are some researchers who are working 21 00:01:19,440 --> 00:01:23,680 Speaker 1: on pretty interesting therapies that are related to cellular decay, 22 00:01:24,480 --> 00:01:28,520 Speaker 1: and what they're trying to do is reverse obesity, tackle 23 00:01:28,600 --> 00:01:33,160 Speaker 1: diabetes while also improving your kidney function, your heart function, 24 00:01:34,240 --> 00:01:37,360 Speaker 1: and so far the technique that they're using is already 25 00:01:37,360 --> 00:01:43,720 Speaker 1: working in mice. What will synthetic biology do for organ replacements? 26 00:01:43,800 --> 00:01:48,880 Speaker 1: Would they will they create different organs? So yeah, this 27 00:01:48,920 --> 00:01:52,560 Speaker 1: is another really interesting area. There's something called a body 28 00:01:52,640 --> 00:01:56,200 Speaker 1: on a chip. So imagine, if you will, a translucent, 29 00:01:56,840 --> 00:01:59,480 Speaker 1: almost like piece of plastic, something the size of a 30 00:01:59,560 --> 00:02:06,080 Speaker 1: stick of an old could come and you know, researchers 31 00:02:06,120 --> 00:02:10,320 Speaker 1: are able to create what are called organoids. These are tiny, 32 00:02:10,440 --> 00:02:16,160 Speaker 1: sometimes microscopic, blobs of tissue that function the same as 33 00:02:16,240 --> 00:02:19,079 Speaker 1: the tissue that's inside of your body. So they can 34 00:02:19,120 --> 00:02:24,600 Speaker 1: make like tiny circulatory systems or tiny reproductive systems, or 35 00:02:24,639 --> 00:02:29,800 Speaker 1: tiny respiratory systems, tiny lung cells, hurt cells, and vascular 36 00:02:29,800 --> 00:02:33,399 Speaker 1: cells to connect them. And what this does is give 37 00:02:33,480 --> 00:02:37,480 Speaker 1: us the ability to test toxins or therapeutics in a 38 00:02:37,560 --> 00:02:41,120 Speaker 1: really safe way to see how it impacts our body 39 00:02:41,560 --> 00:02:45,000 Speaker 1: without having to do those trials on animals or people, 40 00:02:45,840 --> 00:02:48,919 Speaker 1: So that's that's like a tiny organ. But even in 41 00:02:48,960 --> 00:02:51,040 Speaker 1: the past couple of weeks, there have been some terrific 42 00:02:52,560 --> 00:02:59,520 Speaker 1: successes in growing, for example, hearts and inside of pigs. 43 00:02:59,720 --> 00:03:04,000 Speaker 1: Human organs are remarkably similar to the organs that grow 44 00:03:04,040 --> 00:03:08,119 Speaker 1: inside of pigs, and again this gives us some more 45 00:03:08,160 --> 00:03:11,040 Speaker 1: options than we would have had previously. Amy what is 46 00:03:11,120 --> 00:03:15,800 Speaker 1: fueling this science, what's pushing it? Well, I think a 47 00:03:15,880 --> 00:03:19,880 Speaker 1: couple of things. This is a relatively new area of science, 48 00:03:20,160 --> 00:03:22,880 Speaker 1: but it's been in progress now for a couple of decades. 49 00:03:22,960 --> 00:03:26,880 Speaker 1: The human genome was just the first draft of it 50 00:03:26,919 --> 00:03:29,280 Speaker 1: was finished in the early two thousands, and it was 51 00:03:30,080 --> 00:03:34,200 Speaker 1: announced that it's mostly complete as of last year. So 52 00:03:34,280 --> 00:03:37,160 Speaker 1: we've really come a long way in the past two decades. 53 00:03:37,240 --> 00:03:39,880 Speaker 1: And now that we kind of have the source code 54 00:03:40,320 --> 00:03:44,120 Speaker 1: to human life, it's giving us the ability to start 55 00:03:44,520 --> 00:03:47,320 Speaker 1: to do something with it. So I think that's that's 56 00:03:47,360 --> 00:03:50,480 Speaker 1: part of what's fueling all of the interest. Obviously, this 57 00:03:50,640 --> 00:03:54,760 Speaker 1: pandemic has shifted where investors are putting their money and 58 00:03:54,800 --> 00:03:58,080 Speaker 1: where some of the scientific community is doing its research. 59 00:03:59,320 --> 00:04:02,560 Speaker 1: So I think you got this blood of capital, you've 60 00:04:02,560 --> 00:04:06,800 Speaker 1: got heightened awareness of what this technology can do, and 61 00:04:06,880 --> 00:04:10,640 Speaker 1: we have real existential threats on the horizon. We've got 62 00:04:10,840 --> 00:04:14,160 Speaker 1: climate change we have to deal with, and extreme weather events. 63 00:04:14,240 --> 00:04:15,720 Speaker 1: We're going to have to figure out where to get 64 00:04:15,760 --> 00:04:19,360 Speaker 1: our food. Um, So a lot of what's being researched 65 00:04:19,480 --> 00:04:23,279 Speaker 1: now is to help make us more resilient as we 66 00:04:23,360 --> 00:04:26,160 Speaker 1: continue to live on the planet. Instead of eating that steak, 67 00:04:26,520 --> 00:04:30,080 Speaker 1: we'll be eating some kind of synthetic cardboard for something. 68 00:04:31,600 --> 00:04:33,560 Speaker 1: All Right, So listen, you and I. You grew up. 69 00:04:33,560 --> 00:04:37,719 Speaker 1: You're from Detroit, right, Okay, So I'm from the I'm 70 00:04:37,760 --> 00:04:41,159 Speaker 1: from outside of Chicago, um and my family. Part of 71 00:04:41,160 --> 00:04:42,919 Speaker 1: my family was in Niles. So I think you and 72 00:04:42,960 --> 00:04:45,800 Speaker 1: I are sort of grew up in a similar region 73 00:04:46,320 --> 00:04:49,520 Speaker 1: where if I went home and told people, hey, we 74 00:04:49,520 --> 00:04:51,679 Speaker 1: should we should get our steaks out of a lab 75 00:04:52,000 --> 00:04:55,480 Speaker 1: versus from a farm, I think not gonna have they 76 00:04:55,600 --> 00:04:59,680 Speaker 1: gag themselves totally, right, Okay, especially or dairy here. This 77 00:04:59,760 --> 00:05:02,039 Speaker 1: is the and better to be fair. On the other 78 00:05:02,080 --> 00:05:04,520 Speaker 1: side of the lake in Wisconsin, they care a little 79 00:05:04,560 --> 00:05:09,280 Speaker 1: bit more. I think about cheese. But we just had 80 00:05:09,320 --> 00:05:12,640 Speaker 1: the Super Bowl and Americans ate I think something around 81 00:05:12,640 --> 00:05:17,919 Speaker 1: one point four billion chicken wings. That is incredibly resource 82 00:05:18,080 --> 00:05:24,000 Speaker 1: intensive to grow that many chickens to get them, yeah, 83 00:05:24,080 --> 00:05:26,479 Speaker 1: and like get them ready, and you know it's not 84 00:05:26,520 --> 00:05:30,360 Speaker 1: necessarily the greatest thing for a chicken, the most humane, 85 00:05:30,800 --> 00:05:33,680 Speaker 1: but but everybody wants the wings. Well what if instead 86 00:05:34,040 --> 00:05:37,880 Speaker 1: of using all the resources it takes to grow live chickens, 87 00:05:38,040 --> 00:05:40,839 Speaker 1: instead we started with a stem cell from a chicken 88 00:05:41,400 --> 00:05:46,120 Speaker 1: and we created meat in a bioreactor, which I know, 89 00:05:46,240 --> 00:05:49,440 Speaker 1: again sounds like there's no way, you're right, My relatives 90 00:05:49,480 --> 00:05:51,000 Speaker 1: are going to be like, you want me to do what? 91 00:05:51,520 --> 00:05:55,120 Speaker 1: But but it uses the same amino acids to nourish 92 00:05:55,160 --> 00:05:59,599 Speaker 1: those cells as they grow. There's no home hormones, no antibiotics, 93 00:05:59,680 --> 00:06:02,800 Speaker 1: and within a couple of weeks you get tissue that 94 00:06:03,000 --> 00:06:05,920 Speaker 1: tastes just like a chicken wing that you would have 95 00:06:05,960 --> 00:06:09,279 Speaker 1: gotten from a chicken that clucked, has the same texture, 96 00:06:09,440 --> 00:06:12,880 Speaker 1: maybe the same consistency, but was created just in a 97 00:06:12,960 --> 00:06:17,679 Speaker 1: different way. I think that that is a terrific option. 98 00:06:17,960 --> 00:06:21,080 Speaker 1: It's potentially healthier meat, it's potentially better meat. I mean, 99 00:06:21,279 --> 00:06:24,680 Speaker 1: let's face it, commercial chickens don't taste that great because 100 00:06:24,720 --> 00:06:27,440 Speaker 1: they're they're grown rapidly, and at some point we'll be 101 00:06:27,480 --> 00:06:30,520 Speaker 1: able to scale this and make it much cheaper. And 102 00:06:30,600 --> 00:06:34,000 Speaker 1: at that point, if you can get cheaper meat local 103 00:06:34,040 --> 00:06:37,960 Speaker 1: to where you grew up, there's no hormones, there's no antibiotics, 104 00:06:38,560 --> 00:06:41,920 Speaker 1: that I think that becomes a pretty viable option. Who 105 00:06:41,960 --> 00:06:44,839 Speaker 1: do we not create a chicken with twenty wings instead 106 00:06:44,880 --> 00:06:50,320 Speaker 1: of two? That is an awesome question. I think we 107 00:06:50,720 --> 00:06:55,200 Speaker 1: probably could do that, except that I think that that 108 00:06:55,200 --> 00:06:59,840 Speaker 1: would be probably more challenging than just growing the cellular 109 00:07:00,080 --> 00:07:02,920 Speaker 1: based to meet that we could grow in a bioreactor. 110 00:07:03,080 --> 00:07:06,479 Speaker 1: But I totally get the listen, believe me, I get 111 00:07:06,480 --> 00:07:11,520 Speaker 1: the skepticism. They've made billions of dollars on the COVID vaccines, 112 00:07:11,720 --> 00:07:15,920 Speaker 1: big pharma has Would they support this kind of movement 113 00:07:15,960 --> 00:07:20,400 Speaker 1: of the synthetic biology or would they be put out 114 00:07:20,400 --> 00:07:26,280 Speaker 1: of business? You know, that's a great question. I think 115 00:07:26,680 --> 00:07:30,040 Speaker 1: there are this ecosystem on the business side is just 116 00:07:30,080 --> 00:07:33,440 Speaker 1: starting to develop. So some of the funders and some 117 00:07:33,520 --> 00:07:36,520 Speaker 1: of the companies that are interested in this research are 118 00:07:36,600 --> 00:07:40,920 Speaker 1: those those big companies in part because they've they've got 119 00:07:40,920 --> 00:07:42,840 Speaker 1: the money to do the research. I mean, one of 120 00:07:42,880 --> 00:07:45,520 Speaker 1: the problems that we have in the United States is 121 00:07:45,560 --> 00:07:50,160 Speaker 1: that our government has not been funding basic research, basic 122 00:07:50,200 --> 00:07:54,200 Speaker 1: research and science and technology for decades, and we're pretty 123 00:07:54,200 --> 00:07:57,520 Speaker 1: far behind other big economies around the world and our 124 00:07:57,560 --> 00:08:01,080 Speaker 1: approach to funding and definitely our approach long term planning, 125 00:08:01,720 --> 00:08:03,240 Speaker 1: so that doesn't give us a lot of options. The 126 00:08:03,280 --> 00:08:05,120 Speaker 1: money's got to come from somewhere if we want to 127 00:08:05,120 --> 00:08:08,800 Speaker 1: stay competitive and if we want to benefit from you know, 128 00:08:08,920 --> 00:08:15,160 Speaker 1: what's on the horizon. I think that it's possible that 129 00:08:15,160 --> 00:08:18,040 Speaker 1: that the you know, if there's a lot of success, 130 00:08:18,160 --> 00:08:21,760 Speaker 1: especially in therapeutics, that starts to erode and possibly even 131 00:08:21,800 --> 00:08:25,360 Speaker 1: break the business models of some of these companies m 132 00:08:25,560 --> 00:08:28,440 Speaker 1: but I also know that they weren't a long term horizon, 133 00:08:28,560 --> 00:08:31,640 Speaker 1: so there's there's time to plan and figure things out. 134 00:08:31,880 --> 00:08:37,640 Speaker 1: Are there companies that specialize in synthetic biology, Amy, there 135 00:08:37,640 --> 00:08:40,560 Speaker 1: sure are, um and I think it's important to note 136 00:08:40,840 --> 00:08:46,280 Speaker 1: that there's the products like the synthetic chicken wings, for example, 137 00:08:46,760 --> 00:08:51,760 Speaker 1: and then there's the process, which is the infrastructure, the tools, 138 00:08:51,840 --> 00:08:56,119 Speaker 1: basically all the things that you need in order to 139 00:08:56,120 --> 00:08:58,840 Speaker 1: to make the ecosystem work. So just as a quick example, 140 00:08:59,520 --> 00:09:03,319 Speaker 1: there's a company in China called BGI and they are 141 00:09:03,360 --> 00:09:07,599 Speaker 1: one of the largest companies in the world for genome sequencing. 142 00:09:07,679 --> 00:09:14,120 Speaker 1: So this is basically figuring out what the code is 143 00:09:14,280 --> 00:09:17,640 Speaker 1: for a particular genome. Now, in the year twenty o six, 144 00:09:18,200 --> 00:09:21,480 Speaker 1: to get a high quality draft of a human genome, 145 00:09:21,559 --> 00:09:27,400 Speaker 1: it costs fourteen million dollars, and a finished really good 146 00:09:27,440 --> 00:09:30,959 Speaker 1: sequence might cost between twenty and twenty five million dollars. 147 00:09:31,480 --> 00:09:33,560 Speaker 1: Just a couple of years ago, the cost for a 148 00:09:33,600 --> 00:09:37,120 Speaker 1: finished sequence dropped down to just four thousand dollars, and 149 00:09:37,200 --> 00:09:41,000 Speaker 1: today BGI can sequence a genome for one hundred bucks, 150 00:09:41,080 --> 00:09:43,720 Speaker 1: which is basically left than the price of a pair 151 00:09:43,760 --> 00:09:47,920 Speaker 1: of Nike Air Jordans. So there are companies that do sequencing. 152 00:09:48,160 --> 00:09:50,800 Speaker 1: There are companies that do what's called synthesis, which is 153 00:09:51,360 --> 00:09:56,080 Speaker 1: taking all that genetic code and putting it together. There 154 00:09:56,120 --> 00:09:59,079 Speaker 1: are companies in the United States that are phenomenal Twist 155 00:09:59,360 --> 00:10:03,120 Speaker 1: Bioscience and Ginko Bioworks. And then there's the companies that 156 00:10:03,160 --> 00:10:07,920 Speaker 1: are making products. So eat just is a company that 157 00:10:08,040 --> 00:10:11,880 Speaker 1: is making synthetic meat. There are companies that are making 158 00:10:12,000 --> 00:10:16,520 Speaker 1: synthetic This is kind of crazy synthetic cheese. So it's 159 00:10:16,520 --> 00:10:21,640 Speaker 1: still got the same code as any other cheese, but 160 00:10:21,720 --> 00:10:25,679 Speaker 1: it has no it was not it didn't require cow 161 00:10:26,200 --> 00:10:29,680 Speaker 1: to make it, which again is you know, kind of crazy. 162 00:10:29,720 --> 00:10:32,599 Speaker 1: If you think about it. What's the downside to some 163 00:10:32,760 --> 00:10:36,400 Speaker 1: of the same, what's the dark part of it? So listen, 164 00:10:36,440 --> 00:10:38,520 Speaker 1: I know I'm painting kind of a rosy picture here, 165 00:10:38,520 --> 00:10:41,280 Speaker 1: and I believe that there is a rosy picture to 166 00:10:41,400 --> 00:10:46,480 Speaker 1: be had, but there are significant risks. In the book, 167 00:10:47,280 --> 00:10:51,640 Speaker 1: we identify nine risks, and I can highlight a few here. 168 00:10:51,880 --> 00:10:54,640 Speaker 1: First of all, there's something called gain of function research. 169 00:10:55,280 --> 00:11:01,880 Speaker 1: So this is where scientists intentionally mutate viruses or they 170 00:11:01,880 --> 00:11:05,000 Speaker 1: try to make something as bad as it can be, 171 00:11:05,559 --> 00:11:08,080 Speaker 1: and they do this within the confines of a lab, 172 00:11:08,200 --> 00:11:11,920 Speaker 1: and it's supposed to be in a controlled environment. And 173 00:11:11,960 --> 00:11:14,480 Speaker 1: that's I think for the purpose of planning, or at 174 00:11:14,520 --> 00:11:19,880 Speaker 1: least that's what we've been told. And I don't see 175 00:11:19,880 --> 00:11:22,240 Speaker 1: that there's a big there's a reason to do that 176 00:11:22,480 --> 00:11:25,200 Speaker 1: in the year twenty twenty two, when we've got predictive 177 00:11:25,280 --> 00:11:28,320 Speaker 1: analytic systems in AI that can help us run simulations. 178 00:11:28,840 --> 00:11:31,920 Speaker 1: In twenty eleven, there was a researcher in Rotterdam that 179 00:11:32,160 --> 00:11:35,840 Speaker 1: announced that he had augmented the H five N one 180 00:11:35,920 --> 00:11:39,559 Speaker 1: bird flu virus so that it could be transmitted from 181 00:11:39,600 --> 00:11:42,920 Speaker 1: birds to humans and then between people as a new 182 00:11:43,280 --> 00:11:47,600 Speaker 1: deadly strain of the flu a pre covid. It's kind 183 00:11:47,600 --> 00:11:49,640 Speaker 1: of hard to remember this, but pre covid H five 184 00:11:49,720 --> 00:11:52,319 Speaker 1: N one was actually the worst virus to hit our 185 00:11:52,360 --> 00:11:56,040 Speaker 1: planet since the Spanish flu that had a super high 186 00:11:56,080 --> 00:12:00,400 Speaker 1: mortality rate. So this scientist in Rotterdam literally he told 187 00:12:00,480 --> 00:12:05,080 Speaker 1: his fellow researchers that he'd mutated the hell his words 188 00:12:05,440 --> 00:12:07,040 Speaker 1: out of H five N one to see what it 189 00:12:07,080 --> 00:12:10,880 Speaker 1: could do in the name of predicting mutations and developing cures. 190 00:12:11,200 --> 00:12:14,640 Speaker 1: But that's really stupid. We we don't need to do 191 00:12:14,679 --> 00:12:16,960 Speaker 1: that type of work it and it really should not 192 00:12:17,240 --> 00:12:21,160 Speaker 1: be done. UM. So that's a big risk, and synthetic 193 00:12:21,200 --> 00:12:24,520 Speaker 1: biology enables that. It turns out DNA is a security 194 00:12:24,600 --> 00:12:29,320 Speaker 1: risk UM in the future, you know, are some of 195 00:12:29,320 --> 00:12:34,280 Speaker 1: the worst security breaches could actually involve DNA. UM. You 196 00:12:34,320 --> 00:12:39,040 Speaker 1: can scrape somebody's genetic code, sequence it and then you know, 197 00:12:39,360 --> 00:12:44,400 Speaker 1: create a targeted virus for one person UM and a 198 00:12:44,480 --> 00:12:47,320 Speaker 1: virus doesn't have to be deadly to be debilitating, right, 199 00:12:47,600 --> 00:12:51,080 Speaker 1: you could create you could you could create a virus 200 00:12:51,120 --> 00:12:55,679 Speaker 1: that might give a ceo chronic diarrhea or or something 201 00:12:56,520 --> 00:13:01,000 Speaker 1: exactly right, and and that could that would obviously be 202 00:13:01,040 --> 00:13:04,079 Speaker 1: horrible for the CEO. But this could potentially you really 203 00:13:04,559 --> 00:13:07,640 Speaker 1: destroy the financial markets temporarily, things like that, not to 204 00:13:07,679 --> 00:13:11,960 Speaker 1: mention the company. Well, I'm convinced COVID nineteen was made 205 00:13:11,960 --> 00:13:15,280 Speaker 1: in that Wuhan lab. I mean, that is something that 206 00:13:15,360 --> 00:13:18,440 Speaker 1: a lot of people have been wondering, and I will 207 00:13:18,480 --> 00:13:21,600 Speaker 1: tell you this. I said that in December of twenty nineteen. 208 00:13:21,679 --> 00:13:25,040 Speaker 1: By the way, Yeah, I think you were a little 209 00:13:25,080 --> 00:13:28,800 Speaker 1: you know, you're probably early in thinking that through. I 210 00:13:28,840 --> 00:13:34,520 Speaker 1: completely understand where that sentiment comes from. And I think unfortunately, 211 00:13:34,679 --> 00:13:37,160 Speaker 1: we're probably never going to know if it was the 212 00:13:37,240 --> 00:13:41,080 Speaker 1: result of research or gain a function research or something 213 00:13:41,120 --> 00:13:44,240 Speaker 1: that appeared naturally. And that's because, as we all know, 214 00:13:44,640 --> 00:13:47,200 Speaker 1: the government of China locked out the outside world and 215 00:13:47,280 --> 00:13:53,280 Speaker 1: just will I wonder why. Yeah, so at this point, yeah, 216 00:13:53,280 --> 00:13:55,280 Speaker 1: I mean, I think at this point, like again, there's 217 00:13:55,320 --> 00:13:58,040 Speaker 1: there's just no reason to be doing gain a function research. 218 00:14:00,040 --> 00:14:03,040 Speaker 1: But it doesn't it shouldn't stop us from investing in 219 00:14:03,559 --> 00:14:08,960 Speaker 1: and researching synthetic biology, which is going to provide us 220 00:14:09,080 --> 00:14:10,600 Speaker 1: you know, but we got to do this with guardrails. 221 00:14:10,600 --> 00:14:14,400 Speaker 1: And that one other I think quick important risk, and 222 00:14:14,440 --> 00:14:19,280 Speaker 1: that's that we have different regulatory structures. So in the US, 223 00:14:19,360 --> 00:14:22,320 Speaker 1: there's been kind of a back and forth, depending on 224 00:14:22,360 --> 00:14:26,840 Speaker 1: who was in office at the time of what to 225 00:14:26,920 --> 00:14:28,880 Speaker 1: fund and whether or not to use stem cells and 226 00:14:28,960 --> 00:14:31,480 Speaker 1: things like that. And you know, it's really unfortunate, but 227 00:14:31,880 --> 00:14:37,120 Speaker 1: in the US, science and politics are unfortunately intertwined, and 228 00:14:37,160 --> 00:14:41,640 Speaker 1: that has really put us behind other company countries, notably China, 229 00:14:41,720 --> 00:14:46,120 Speaker 1: which has a very different approach to regulation. Biology doesn't 230 00:14:46,440 --> 00:14:51,280 Speaker 1: doesn't care about regulations. You know, biology tends to self sustain. 231 00:14:51,680 --> 00:14:54,000 Speaker 1: So we're going to have to come up with guardrails, 232 00:14:54,040 --> 00:14:57,240 Speaker 1: restrictions and rules that we can enforce and that are 233 00:14:57,280 --> 00:15:01,680 Speaker 1: consistent all around the world. And I think we're we're 234 00:15:01,720 --> 00:15:04,480 Speaker 1: not quite there yet, and that is a risk somebody's 235 00:15:04,480 --> 00:15:08,600 Speaker 1: going to abuse this. Oh absolutely, there's no question. I 236 00:15:08,640 --> 00:15:12,560 Speaker 1: think what does not keep me up at night, UM, 237 00:15:12,760 --> 00:15:15,240 Speaker 1: in times when I'm not up for the show the 238 00:15:15,560 --> 00:15:17,400 Speaker 1: you know what doesn't keep me up at night is 239 00:15:17,440 --> 00:15:20,880 Speaker 1: that at the moment, this is not really a do 240 00:15:21,600 --> 00:15:25,440 Speaker 1: it yourself UM technology. You need to have quite a 241 00:15:25,480 --> 00:15:27,720 Speaker 1: bit of knowledge. So I think it's this is not 242 00:15:27,760 --> 00:15:32,360 Speaker 1: the kind of thing where a teenager can inject malware 243 00:15:32,760 --> 00:15:37,680 Speaker 1: into you know, the code for life. But that's today. 244 00:15:38,000 --> 00:15:40,240 Speaker 1: Things may be different in a couple of years. So yeah, 245 00:15:40,240 --> 00:15:42,680 Speaker 1: we absolutely need to start really thinking through how to 246 00:15:42,760 --> 00:15:46,120 Speaker 1: how to protect ourselves. Listen to more Coast to Coast 247 00:15:46,120 --> 00:15:49,800 Speaker 1: AM every weeknight at one am Eastern, and go to 248 00:15:49,880 --> 00:15:51,960 Speaker 1: Coast to Coast am dot com for more