1 00:00:01,240 --> 00:00:02,040 Speaker 1: We're so excited. 2 00:00:02,080 --> 00:00:04,280 Speaker 2: You know, I'm excited first of all for Gandhi, because 3 00:00:04,280 --> 00:00:08,200 Speaker 2: Gandhi is extra excited about the excitement. The excitement is exciting. 4 00:00:08,400 --> 00:00:10,719 Speaker 2: We'll leave it at that. This is gonna be a 5 00:00:10,720 --> 00:00:14,960 Speaker 2: great conversation. Ben Lamb and Beth Shapiro from Colossal Biosciences, 6 00:00:15,000 --> 00:00:17,560 Speaker 2: this incredibly cool company you're gonna learn about in a second. 7 00:00:17,960 --> 00:00:19,639 Speaker 2: They are here to talk about many things you've been 8 00:00:19,680 --> 00:00:22,120 Speaker 2: seeing in the news. Last week there was a big, 9 00:00:22,200 --> 00:00:25,320 Speaker 2: huge announcement about the dire wolf. 10 00:00:26,640 --> 00:00:28,080 Speaker 1: A lot of people are like, what do you know 11 00:00:28,160 --> 00:00:29,640 Speaker 1: this dire wolf? What's a dire wolf? 12 00:00:29,880 --> 00:00:33,120 Speaker 2: Well, this wolf is I'm gonna let them explain to 13 00:00:33,159 --> 00:00:36,159 Speaker 2: you in just a second about that. Then, maybe several 14 00:00:36,520 --> 00:00:40,240 Speaker 2: months ago you heard Gandhi all giddy and doing cartwheels 15 00:00:40,280 --> 00:00:42,080 Speaker 2: over the Colossal wooly mouse. 16 00:00:42,320 --> 00:00:43,840 Speaker 3: So cute. 17 00:00:44,680 --> 00:00:47,120 Speaker 1: It is objectively adorable. 18 00:00:46,520 --> 00:00:47,400 Speaker 4: It is. 19 00:00:47,960 --> 00:00:50,600 Speaker 2: But Ben and Beth, thank you for being here. Thank 20 00:00:50,600 --> 00:00:52,319 Speaker 2: you so much for coming in and talking about this. 21 00:00:52,320 --> 00:00:54,000 Speaker 2: This is so exciting, it really is. 22 00:00:54,200 --> 00:00:55,400 Speaker 1: Yeah, thanks for having us. 23 00:00:55,640 --> 00:00:58,240 Speaker 2: I don't want us to go into all of the 24 00:00:58,240 --> 00:01:01,800 Speaker 2: above until we also talk about the arguably the most 25 00:01:01,800 --> 00:01:06,120 Speaker 2: critically endangered wolf in the world, the red Wolves that 26 00:01:06,240 --> 00:01:11,559 Speaker 2: you guys have basically brought into our world again through 27 00:01:11,760 --> 00:01:15,680 Speaker 2: this non invasive blood cloning technique, and let's talk about 28 00:01:15,760 --> 00:01:19,319 Speaker 2: Let's start with them, because I love conservation being a 29 00:01:19,360 --> 00:01:21,800 Speaker 2: big headline at Colossal Biosciences. 30 00:01:21,840 --> 00:01:22,320 Speaker 1: Talk about it. 31 00:01:22,480 --> 00:01:24,679 Speaker 5: No, that's great. I mean most people just want to 32 00:01:24,680 --> 00:01:27,400 Speaker 5: make de extinction the headline. We always talk that. You know, 33 00:01:27,720 --> 00:01:30,720 Speaker 5: de extinction and species preservation go hand in hand. De 34 00:01:30,880 --> 00:01:34,520 Speaker 5: extinction is not a replacement for modern conservation. We need 35 00:01:34,600 --> 00:01:37,560 Speaker 5: all of the tools, including new tools, to help save species, 36 00:01:38,240 --> 00:01:40,520 Speaker 5: and so we're very glad to talk about the red wolves. 37 00:01:40,560 --> 00:01:43,559 Speaker 5: But on the path to de extincting the dire wolf, 38 00:01:43,959 --> 00:01:46,840 Speaker 5: we actually develop some new, really great technologies which we're 39 00:01:46,840 --> 00:01:49,320 Speaker 5: open sourcing for the world, one of which is how 40 00:01:49,360 --> 00:01:53,240 Speaker 5: to isolate a type of cell called endothelial progenitor cells, 41 00:01:53,400 --> 00:01:57,480 Speaker 5: which is not fully differentiated. It's it's really easy to cultivate, 42 00:01:57,720 --> 00:02:00,480 Speaker 5: and then it's great for biobanking, so for backing things 43 00:02:00,520 --> 00:02:02,920 Speaker 5: up and protecting them, and it's great to clone from. 44 00:02:02,960 --> 00:02:04,760 Speaker 5: And it's also non invasive, so you don't have to 45 00:02:04,760 --> 00:02:08,000 Speaker 5: take skin biopsy and ear punch or anything for the animal. 46 00:02:08,080 --> 00:02:10,840 Speaker 5: So it's even better from an animal welfare perspective, and 47 00:02:10,880 --> 00:02:14,320 Speaker 5: then we use that technology to actually make four red wolves. 48 00:02:14,320 --> 00:02:17,519 Speaker 5: And to your point, red wolves are the most endangered 49 00:02:17,560 --> 00:02:20,240 Speaker 5: canids on the planet. They're the only wolves that were 50 00:02:20,320 --> 00:02:23,960 Speaker 5: endemic here to the United States. So I think it's 51 00:02:24,040 --> 00:02:26,600 Speaker 5: really really important that you know, we're not just thinking 52 00:02:26,639 --> 00:02:31,680 Speaker 5: about the theory of applying the extinction technologies to conservation, 53 00:02:31,880 --> 00:02:33,679 Speaker 5: but doing it in real time. And most people don't 54 00:02:33,680 --> 00:02:36,080 Speaker 5: even know that we've made more red wolves than dire wolves. 55 00:02:37,080 --> 00:02:40,000 Speaker 2: Wow, okay, I love it. By the way, the dire wolves. 56 00:02:40,000 --> 00:02:42,000 Speaker 2: I saw the photos, I saw the videos. I want 57 00:02:42,000 --> 00:02:45,160 Speaker 2: one immediately. I don't know, Yeah, I don't know where. 58 00:02:45,000 --> 00:02:49,360 Speaker 5: We're gonna start adopting those most are the third most 59 00:02:49,960 --> 00:02:52,799 Speaker 5: popular requests. The first is they want dinosaurs. The second 60 00:02:52,840 --> 00:02:54,840 Speaker 5: is they want wooly mice. And now we're getting the 61 00:02:54,880 --> 00:02:58,600 Speaker 5: flood of dms and messages of that. They want teakup 62 00:02:58,800 --> 00:02:59,880 Speaker 5: dire wolves, which which is. 63 00:03:00,080 --> 00:03:06,720 Speaker 2: Got one step at a time. So so, Beth, I mean, 64 00:03:06,800 --> 00:03:08,480 Speaker 2: you know, the first thing, I'm sure many of our 65 00:03:08,520 --> 00:03:09,560 Speaker 2: audience members are thinking. 66 00:03:09,600 --> 00:03:10,839 Speaker 1: They're thinking of Jurassic Park. 67 00:03:10,960 --> 00:03:14,679 Speaker 2: They're thinking of people running through this gated park and 68 00:03:14,720 --> 00:03:17,160 Speaker 2: being killed by terosaurs. And things, and I don't know 69 00:03:17,919 --> 00:03:19,960 Speaker 2: what what what is it you guys are doing? 70 00:03:20,000 --> 00:03:21,400 Speaker 1: What do you guys have about at all? 71 00:03:23,600 --> 00:03:25,880 Speaker 2: What is it you are doing that's sort of related 72 00:03:25,919 --> 00:03:28,200 Speaker 2: to Jurassic Park, but nothing like Jurassic Park. 73 00:03:28,320 --> 00:03:30,120 Speaker 1: Just to bring it into perspective. 74 00:03:30,040 --> 00:03:33,160 Speaker 3: Well, what we are doing is we're getting DNA from 75 00:03:33,600 --> 00:03:36,160 Speaker 3: remains of things that used to be alive and using 76 00:03:36,200 --> 00:03:38,840 Speaker 3: that DNA to figure out what it is that made 77 00:03:38,880 --> 00:03:41,880 Speaker 3: those extinct species look at act like those extinct species, 78 00:03:41,920 --> 00:03:44,480 Speaker 3: And that I guess was the idea for Jurassic Park. 79 00:03:44,520 --> 00:03:48,440 Speaker 3: They supposedly got DNA from dinosaurs that was in mosquitoes 80 00:03:48,440 --> 00:03:52,360 Speaker 3: in amber. I've actually tried that. 81 00:03:53,080 --> 00:03:55,560 Speaker 6: You're you're the only one that we know that actually tried. 82 00:03:57,400 --> 00:04:00,520 Speaker 1: Is actually not a great storage vehicle of it's it's terrible. 83 00:04:00,520 --> 00:04:02,800 Speaker 3: So amber only forms in a really hot place. It's 84 00:04:03,000 --> 00:04:06,120 Speaker 3: it's porous, which means fungi and bacteria can get in there, 85 00:04:06,120 --> 00:04:08,360 Speaker 3: and they just chew up the DNA, so there's nothing lefty. 86 00:04:08,520 --> 00:04:11,680 Speaker 3: Dinosaurs when extinct more than sixty five million years ago. 87 00:04:11,920 --> 00:04:15,280 Speaker 3: The oldest ancient DNA that anybody has ever recovered from 88 00:04:15,320 --> 00:04:18,880 Speaker 3: a bone is somewhere between one and two million years old, 89 00:04:19,320 --> 00:04:22,159 Speaker 3: which is way more recent. But most of the ancient DNA, 90 00:04:22,240 --> 00:04:24,400 Speaker 3: the DNA that's preserved in bones that we can recover, 91 00:04:24,920 --> 00:04:27,080 Speaker 3: is really much more recent than that, like the last 92 00:04:27,120 --> 00:04:29,640 Speaker 3: several tens of thousands of years. So we're really thinking 93 00:04:30,080 --> 00:04:33,560 Speaker 3: ice Age Park, not Jurassic parks. And there's not as 94 00:04:33,600 --> 00:04:36,800 Speaker 3: many scary animals in the well, there's I mean, there's some. 95 00:04:39,560 --> 00:04:41,200 Speaker 2: Well, I mean, is that ever a thought when you 96 00:04:41,240 --> 00:04:44,720 Speaker 2: sit down and start at base one to start one 97 00:04:44,720 --> 00:04:47,640 Speaker 2: of these projects? Do we really want do we really 98 00:04:47,760 --> 00:04:50,480 Speaker 2: want to do this? Is this an ethical thing that 99 00:04:50,680 --> 00:04:52,200 Speaker 2: is good for us to do? 100 00:04:52,440 --> 00:04:54,560 Speaker 5: Yeah, we actually have a whole framework for this, right, 101 00:04:54,640 --> 00:04:57,080 Speaker 5: so we try to think about what, you know, should 102 00:04:57,120 --> 00:04:57,520 Speaker 5: we do it? 103 00:04:57,560 --> 00:04:58,599 Speaker 1: You know, believe it or not? 104 00:04:58,680 --> 00:05:01,160 Speaker 5: To the drastic park comment, we get the scientists were 105 00:05:01,160 --> 00:05:03,080 Speaker 5: so preoccupied whether they could they didn't stop to. 106 00:05:03,160 --> 00:05:03,799 Speaker 1: Think if we should. 107 00:05:03,800 --> 00:05:07,240 Speaker 5: We've heard that at time or two, basically every time 108 00:05:07,240 --> 00:05:10,839 Speaker 5: we say anything on X or any social media platform. 109 00:05:11,560 --> 00:05:13,880 Speaker 5: But what's interesting is we actually have a whole framework, 110 00:05:13,960 --> 00:05:18,120 Speaker 5: right like, is it possible, is there a closely related 111 00:05:18,200 --> 00:05:20,760 Speaker 5: species that we can help with it? You know, are 112 00:05:20,760 --> 00:05:25,400 Speaker 5: there cultural application? Is there ramifications to indigenous and First 113 00:05:25,640 --> 00:05:27,960 Speaker 5: nation groups, So we try to take all of that 114 00:05:28,000 --> 00:05:31,320 Speaker 5: into account when we select these species. In every species 115 00:05:31,360 --> 00:05:35,039 Speaker 5: we work on actually has a connection to a existing 116 00:05:35,320 --> 00:05:37,760 Speaker 5: species that's in trouble, right, like the Asian elephants with 117 00:05:37,800 --> 00:05:40,360 Speaker 5: the mammoth, the pink pigeon with the dodos, and even 118 00:05:40,400 --> 00:05:43,479 Speaker 5: the northern coal with the Tasmanian tiger, and obviously the 119 00:05:43,480 --> 00:05:44,920 Speaker 5: red wolves with the dire wolves. 120 00:05:45,120 --> 00:05:47,560 Speaker 3: Yeah. Wow, it was in fact this checklist that led 121 00:05:47,640 --> 00:05:51,040 Speaker 3: us to the dire wolf as really the ideal species 122 00:05:51,040 --> 00:05:55,599 Speaker 3: for the first de extinction. Dire Wolves are morphologically similar 123 00:05:55,640 --> 00:05:58,479 Speaker 3: to gray wolves. We know that they are very closely 124 00:05:58,520 --> 00:06:01,440 Speaker 3: related to gray wolves. They share ninety nine point five 125 00:06:01,520 --> 00:06:04,600 Speaker 3: percent of their DNA. But the other thing that makes 126 00:06:04,720 --> 00:06:07,680 Speaker 3: gray wolves and dire wolves a really important pair for 127 00:06:07,720 --> 00:06:11,039 Speaker 3: this is that we know so much about gray wolves 128 00:06:11,040 --> 00:06:14,000 Speaker 3: because domestic dogs are a gray wolf, and so we 129 00:06:14,040 --> 00:06:16,280 Speaker 3: have tons of information about how to care for them 130 00:06:16,360 --> 00:06:19,440 Speaker 3: in the wild, how to do surrogacy, how to interpret 131 00:06:19,920 --> 00:06:22,720 Speaker 3: anything that changes as a consequence of the work that 132 00:06:22,760 --> 00:06:25,359 Speaker 3: we're doing, and ultimately we want these technologies to be 133 00:06:25,400 --> 00:06:28,839 Speaker 3: able to be applied broadly as a tool for conservation, 134 00:06:29,320 --> 00:06:32,760 Speaker 3: not a replacement for traditional conservation, but a new tool 135 00:06:32,839 --> 00:06:36,680 Speaker 3: for conservation, and so we need all of this foundational 136 00:06:36,720 --> 00:06:40,480 Speaker 3: scientific knowledge, and the gray wolf and dire wolf make 137 00:06:40,600 --> 00:06:43,000 Speaker 3: that possible in a way that really no other species could. 138 00:06:43,279 --> 00:06:45,200 Speaker 2: Well, I'm loving that my little Schnauzers are a gray 139 00:06:45,400 --> 00:06:50,320 Speaker 2: from the gray wolf family. So I mean, gandha, you 140 00:06:50,640 --> 00:06:53,240 Speaker 2: had them on your podcast before and give us a 141 00:06:53,279 --> 00:06:54,880 Speaker 2: reach around to one of the most some of the 142 00:06:54,920 --> 00:06:57,160 Speaker 2: most fascinating things you learned on that podcast that we 143 00:06:57,200 --> 00:06:58,360 Speaker 2: can bring to light today. 144 00:06:58,520 --> 00:07:01,680 Speaker 7: Okay, so a couple things. One you guys were talking about. 145 00:07:01,800 --> 00:07:05,480 Speaker 7: You figured out that you could, but why should you? Why? 146 00:07:05,760 --> 00:07:08,560 Speaker 7: Because everyone's the biggest question, why bring back a wooly mammoth? 147 00:07:08,680 --> 00:07:10,720 Speaker 7: What is the benefit of that to society today? 148 00:07:11,600 --> 00:07:13,920 Speaker 3: For each of our species, what we're thinking about is 149 00:07:14,160 --> 00:07:17,720 Speaker 3: how does the ecosystem in which they used to live, 150 00:07:17,840 --> 00:07:21,040 Speaker 3: How has that ecosystem been impacted by the loss? So 151 00:07:21,240 --> 00:07:23,760 Speaker 3: in the Arctic, we know that we're missing most of 152 00:07:23,800 --> 00:07:26,280 Speaker 3: the big animals that used to be there, and we 153 00:07:26,680 --> 00:07:29,440 Speaker 3: have this amazing resource. And there's a place up in 154 00:07:29,480 --> 00:07:33,640 Speaker 3: northeastern Siberia called Pleistocene Park where Russian Academy of Science 155 00:07:33,640 --> 00:07:36,160 Speaker 3: biologist Serge Zimov and his son Nikita are doing this 156 00:07:36,240 --> 00:07:39,120 Speaker 3: crazy experiment where they've imported some of the animals that 157 00:07:39,240 --> 00:07:43,560 Speaker 3: used to be there, deer, muskoks, bison, horses, and they're 158 00:07:43,640 --> 00:07:46,360 Speaker 3: looking at what happens when you have the animals there, 159 00:07:46,480 --> 00:07:50,120 Speaker 3: and they do things like spread seeds and spread nutrients 160 00:07:50,160 --> 00:07:52,840 Speaker 3: and aerate the soil. And during the winter they scrape 161 00:07:52,840 --> 00:07:55,600 Speaker 3: away the snow from the surface and expose the surface 162 00:07:55,600 --> 00:07:58,600 Speaker 3: of the dirt to the really cold Siberian winter air. 163 00:07:59,160 --> 00:08:02,800 Speaker 3: And some places don't get exposed to the air and 164 00:08:02,800 --> 00:08:05,320 Speaker 3: they stay warmer and wetter because the snow stays on top. 165 00:08:05,640 --> 00:08:08,000 Speaker 3: And then in the spring when the snow melts, you 166 00:08:08,040 --> 00:08:12,400 Speaker 3: get this really interesting diverse landscape where you have pockets 167 00:08:12,400 --> 00:08:15,160 Speaker 3: of plants that prefer dryer habitat and pockets that prefer 168 00:08:15,240 --> 00:08:18,080 Speaker 3: wetter and this means that there are more plants there 169 00:08:18,120 --> 00:08:21,480 Speaker 3: and this different species of plants can support different species 170 00:08:21,640 --> 00:08:25,240 Speaker 3: of animals. And so we see how every species is 171 00:08:25,400 --> 00:08:29,000 Speaker 3: really intricately tied to everything else in their ecosystems. So 172 00:08:29,080 --> 00:08:32,400 Speaker 3: what we're doing with our projects is try to identify 173 00:08:32,480 --> 00:08:34,679 Speaker 3: species that are going to have the most impact if 174 00:08:34,679 --> 00:08:37,280 Speaker 3: we can put them back now. Not identical copies of 175 00:08:37,400 --> 00:08:40,280 Speaker 3: these species it's extinction is forever. It's not possible to 176 00:08:40,280 --> 00:08:43,040 Speaker 3: bring something back that is one hundred percent identical to 177 00:08:43,600 --> 00:08:45,880 Speaker 3: a thing that used to be alive. But we can 178 00:08:45,920 --> 00:08:48,679 Speaker 3: bring back some of these key functions, and when we 179 00:08:48,720 --> 00:08:52,000 Speaker 3: talk about functional de extinction, this is exactly what we mean. 180 00:08:52,240 --> 00:08:54,880 Speaker 3: Bringing back the big animals that can help spread the 181 00:08:54,880 --> 00:08:58,800 Speaker 3: seeds and spread the nutrients. Bringing back the only top 182 00:08:58,840 --> 00:09:01,320 Speaker 3: predator of the ecosis to men tasmania, so that we 183 00:09:01,360 --> 00:09:05,679 Speaker 3: can restore balance to that ecosystem. This is the goal 184 00:09:05,800 --> 00:09:08,840 Speaker 3: of our de extinction projects, and then also of our 185 00:09:08,880 --> 00:09:11,600 Speaker 3: species preservation projects that are tied to these projects, where 186 00:09:11,600 --> 00:09:15,280 Speaker 3: we can keep these important components of ecosystems there because 187 00:09:15,280 --> 00:09:17,440 Speaker 3: it's going to be way simpler to make sure that 188 00:09:17,440 --> 00:09:19,719 Speaker 3: species stay alive than it is to try to bring 189 00:09:19,760 --> 00:09:20,120 Speaker 3: them back. 190 00:09:20,760 --> 00:09:24,360 Speaker 2: So there is there any point to the argument things 191 00:09:24,960 --> 00:09:28,200 Speaker 2: or animals become extinct for a reason at that time, 192 00:09:28,960 --> 00:09:31,319 Speaker 2: they should have gone extinct for whatever reason. 193 00:09:31,360 --> 00:09:31,680 Speaker 1: I don't know. 194 00:09:31,679 --> 00:09:33,600 Speaker 2: I'm just throwing that out there because I've heard that 195 00:09:33,640 --> 00:09:36,600 Speaker 2: thrown against the wall before. Is that a possible true statement? 196 00:09:36,640 --> 00:09:38,440 Speaker 5: Well, there's lots of different ways that people think that 197 00:09:38,760 --> 00:09:41,480 Speaker 5: megafauna went extinct, right, and so one of the things 198 00:09:41,480 --> 00:09:44,559 Speaker 5: that is pretty clear is that the rise of early 199 00:09:44,679 --> 00:09:48,200 Speaker 5: man at certain population levels on all of the continents 200 00:09:48,200 --> 00:09:51,640 Speaker 5: and in subcontinents, we see a directly inverse relationship to 201 00:09:51,760 --> 00:09:55,000 Speaker 5: the decline of megafauna, which which kind of makes sense. 202 00:09:55,080 --> 00:09:55,240 Speaker 1: Right. 203 00:09:55,240 --> 00:09:57,240 Speaker 5: It's like, if you're working as a group, and you're 204 00:09:57,280 --> 00:10:00,839 Speaker 5: working as a tribe going after a kind of big 205 00:10:01,280 --> 00:10:05,800 Speaker 5: you know, large, slow moving megafauna is a great target, right, 206 00:10:05,840 --> 00:10:09,280 Speaker 5: if you start moving into from that, you know, into 207 00:10:09,320 --> 00:10:12,480 Speaker 5: that hunting and gathering kind of a way. Now, there's 208 00:10:12,520 --> 00:10:15,120 Speaker 5: other theories, right that talk about climate change. There's other 209 00:10:15,120 --> 00:10:18,520 Speaker 5: theories that talk about rapid cooling. Most likely, and Beth 210 00:10:18,520 --> 00:10:19,880 Speaker 5: and I spend a lot of time talking about this 211 00:10:20,120 --> 00:10:24,319 Speaker 5: is it was probably some combination, right of anthropologic effects 212 00:10:24,320 --> 00:10:29,280 Speaker 5: being from human and as well as you know, changing 213 00:10:29,360 --> 00:10:31,960 Speaker 5: in rapid cooling in that kind of that younger dryest 214 00:10:31,960 --> 00:10:35,120 Speaker 5: period is probably most likely the reason why we lost 215 00:10:35,120 --> 00:10:36,319 Speaker 5: a lot of that megafauna. 216 00:10:36,360 --> 00:10:39,120 Speaker 3: I think it's important to look at what's happening today. 217 00:10:39,320 --> 00:10:41,600 Speaker 3: I mean, yes, there has been a rate of extinction 218 00:10:41,760 --> 00:10:45,240 Speaker 3: that has existed throughout the history of life on Earth, 219 00:10:45,559 --> 00:10:48,120 Speaker 3: but the rate of extinction today is somewhere between one 220 00:10:48,160 --> 00:10:51,040 Speaker 3: thousand and ten thousand times higher than that background rate, 221 00:10:51,080 --> 00:10:52,560 Speaker 3: and a lot of that is because of stuff that 222 00:10:52,600 --> 00:10:55,760 Speaker 3: we are doing. I mean, habitats around the world are 223 00:10:55,840 --> 00:10:59,520 Speaker 3: changing faster than species can keep up. And some of 224 00:10:59,559 --> 00:11:01,600 Speaker 3: that is climate, and some of that is the way 225 00:11:01,600 --> 00:11:05,080 Speaker 3: that we are changing landscapes by building towns and cutting 226 00:11:05,080 --> 00:11:07,240 Speaker 3: off connections and corridors. 227 00:11:06,720 --> 00:11:11,240 Speaker 5: Between fishing right and erradicate the entire forests. 228 00:11:11,360 --> 00:11:14,360 Speaker 3: That's really where this technology I think has the most 229 00:11:14,360 --> 00:11:18,079 Speaker 3: potential impact. We need traditional approaches to conservation, We need 230 00:11:18,120 --> 00:11:20,360 Speaker 3: to do habitat restoration, We need to continue to do 231 00:11:20,400 --> 00:11:22,320 Speaker 3: the things that have been working for the last one 232 00:11:22,400 --> 00:11:23,800 Speaker 3: hundred years of conservation. 233 00:11:24,320 --> 00:11:25,960 Speaker 1: But we're still not winning this war. 234 00:11:26,040 --> 00:11:28,640 Speaker 3: We are still driving species to extinction. There's still the 235 00:11:28,679 --> 00:11:32,200 Speaker 3: threat that scientists have predicted that in twenty five years, 236 00:11:32,280 --> 00:11:34,080 Speaker 3: more than half of species on the planet will be 237 00:11:34,120 --> 00:11:37,800 Speaker 3: in danger of becoming extinct. And that's terrifying. We need 238 00:11:37,960 --> 00:11:40,079 Speaker 3: new tools, and we need tools that can act as 239 00:11:40,160 --> 00:11:44,040 Speaker 3: quickly to help species catch up as these changes are happening. 240 00:11:44,440 --> 00:11:44,680 Speaker 1: Wow. 241 00:11:44,720 --> 00:11:46,320 Speaker 2: So if you're just turning us on and your head 242 00:11:46,440 --> 00:11:48,960 Speaker 2: is blowing up like mine, because this is all a 243 00:11:48,960 --> 00:11:52,360 Speaker 2: lot of information, but it's fascinating as f I may say, 244 00:11:53,040 --> 00:11:57,840 Speaker 2: Ben Lamb and Beth Shapiro are from Colossal Biosciences. And 245 00:11:58,080 --> 00:12:02,080 Speaker 2: if you've read recently in the news, gosh, the dire wolves, 246 00:12:02,160 --> 00:12:05,360 Speaker 2: those beautiful, cuddly little howling. I love that howl that 247 00:12:05,360 --> 00:12:08,640 Speaker 2: we haven't heard in how many years exactly, And of 248 00:12:08,679 --> 00:12:11,560 Speaker 2: course several months ago we're talking about the wooly mouse, 249 00:12:12,120 --> 00:12:17,480 Speaker 2: which I think is adorable. It is incredible to actually 250 00:12:17,760 --> 00:12:22,360 Speaker 2: also not forget that a lot of these beings are 251 00:12:22,440 --> 00:12:25,160 Speaker 2: extinct because of us. We did this, we continue to 252 00:12:25,200 --> 00:12:27,280 Speaker 2: do it every day. Right, that's the point you wanted 253 00:12:27,320 --> 00:12:29,559 Speaker 2: to make, right, Nate, Yeah, we had a converse. I'm 254 00:12:29,559 --> 00:12:31,320 Speaker 2: a big nerd like Gandhi when it comes to this 255 00:12:31,400 --> 00:12:33,840 Speaker 2: kind of stuff. And there are so many species outside 256 00:12:33,880 --> 00:12:36,240 Speaker 2: of the wooly mammoth and the dire wolf that a 257 00:12:36,280 --> 00:12:39,560 Speaker 2: lot of people have no idea about. And it's because 258 00:12:39,600 --> 00:12:43,960 Speaker 2: of man encroaching on these places where these animals were 259 00:12:44,000 --> 00:12:44,600 Speaker 2: just living. 260 00:12:44,360 --> 00:12:46,720 Speaker 4: Their happy little lives. And then oh wait, we're hungry. 261 00:12:46,800 --> 00:12:49,319 Speaker 4: Oh this dodo bird can't really run that fast. Let's 262 00:12:49,400 --> 00:12:51,640 Speaker 4: just eat it. Yeah, boom, they're gone. 263 00:12:51,840 --> 00:12:52,839 Speaker 6: Right, So it. 264 00:12:52,880 --> 00:12:55,920 Speaker 4: Is kind of because of us that a lot of 265 00:12:55,920 --> 00:12:59,200 Speaker 4: these species aren't around anymore. It's fascinating that you guys 266 00:12:59,200 --> 00:12:59,640 Speaker 4: are doing this. 267 00:13:00,080 --> 00:13:02,319 Speaker 7: I feel like like, go ahead, no, And some. 268 00:13:02,320 --> 00:13:05,240 Speaker 5: Are direct right like the testmiantiger orthilosine. You know, the 269 00:13:05,240 --> 00:13:08,240 Speaker 5: Australian government actually put a bounty on their heads to 270 00:13:08,360 --> 00:13:11,480 Speaker 5: remove them. And so sometimes people say, well, did these 271 00:13:11,520 --> 00:13:14,080 Speaker 5: things happen naturally? And it's like, no, that's not natural. 272 00:13:14,080 --> 00:13:16,840 Speaker 5: When a government puts a bounty on your head to 273 00:13:16,960 --> 00:13:19,640 Speaker 5: kill you and eradicate you, that is not a natural 274 00:13:19,679 --> 00:13:20,560 Speaker 5: cause of extinction. 275 00:13:21,280 --> 00:13:23,960 Speaker 7: So I think a huge part obviously, maybe the only 276 00:13:24,000 --> 00:13:25,600 Speaker 7: thing that you guys are doing is things that are 277 00:13:25,640 --> 00:13:28,600 Speaker 7: going to better humanity, society, the planet right now. And 278 00:13:28,640 --> 00:13:30,600 Speaker 7: when you were on my podcast, you mentioned something that 279 00:13:30,640 --> 00:13:32,480 Speaker 7: I found fascinating and I feel like it needs so 280 00:13:32,559 --> 00:13:34,800 Speaker 7: much more attention. And it was a micro organism that 281 00:13:34,840 --> 00:13:36,520 Speaker 7: you guys had pretty much found one. 282 00:13:36,360 --> 00:13:37,200 Speaker 1: Of your researchers. 283 00:13:37,400 --> 00:13:41,840 Speaker 7: Yeah, and it eats through plastic and leaves behind only carbon. Yep, 284 00:13:42,240 --> 00:13:45,920 Speaker 7: that would change the world dramatically if it can be 285 00:13:46,600 --> 00:13:48,200 Speaker 7: I don't want to say mass produced, but if it 286 00:13:48,240 --> 00:13:51,160 Speaker 7: can be used to get away to rid ourselves of 287 00:13:51,160 --> 00:13:52,440 Speaker 7: all the plastic that they are right now, where are 288 00:13:52,440 --> 00:13:53,040 Speaker 7: you guys out on that. 289 00:13:53,120 --> 00:13:53,840 Speaker 1: Yeah. 290 00:13:53,320 --> 00:13:56,439 Speaker 5: So part of our mission with Colossal is as we 291 00:13:56,520 --> 00:13:59,280 Speaker 5: develop technologies that have an application of conservation, we give 292 00:13:59,320 --> 00:14:01,680 Speaker 5: those to the world or free. If there's applications that 293 00:14:01,679 --> 00:14:04,280 Speaker 5: have an application, ways that can apply to human health 294 00:14:04,320 --> 00:14:07,560 Speaker 5: care or to actually you know, helping industrial use cases, 295 00:14:07,679 --> 00:14:09,760 Speaker 5: we spin those out right. Because we do have investors, 296 00:14:09,800 --> 00:14:12,520 Speaker 5: we have to find ways to monetize. And one of 297 00:14:12,559 --> 00:14:15,800 Speaker 5: our spinouts is Breaking. It's just breaking dot com. It's 298 00:14:15,880 --> 00:14:18,720 Speaker 5: led by an incredible woman, su Kanya, and su Kanya 299 00:14:18,800 --> 00:14:21,520 Speaker 5: in our partner Ofvascar, actually had this discovery at the 300 00:14:21,560 --> 00:14:24,680 Speaker 5: VS Institute where they discovered this microbe that amidst this 301 00:14:24,960 --> 00:14:29,080 Speaker 5: enzyme that actually breaks down every type of plastic. Now 302 00:14:29,400 --> 00:14:32,160 Speaker 5: you've probably heard about plastic degradation. You've heard of other 303 00:14:32,160 --> 00:14:33,840 Speaker 5: companies working on it, which is great. We need a 304 00:14:33,960 --> 00:14:36,680 Speaker 5: thousand companies working about it. But what's unique about this 305 00:14:36,840 --> 00:14:39,280 Speaker 5: is they don't have to be pre treated, right, they 306 00:14:39,280 --> 00:14:42,000 Speaker 5: don't have to have extra chemicals spread on them. The 307 00:14:42,800 --> 00:14:46,520 Speaker 5: enzymes work just by you know, putting the enzymes in 308 00:14:46,880 --> 00:14:49,720 Speaker 5: a contained environment with the plastics, and it literally we 309 00:14:49,760 --> 00:14:52,640 Speaker 5: call it breaking because it doesn't make smaller microplastics it 310 00:14:52,760 --> 00:14:55,200 Speaker 5: breaks the chemical bonds. So we raise a bunch of 311 00:14:55,200 --> 00:14:58,920 Speaker 5: capital for that business, and we actually have eleven pilots 312 00:14:58,920 --> 00:15:02,440 Speaker 5: with very large one from textiles to industrial, military use 313 00:15:02,480 --> 00:15:05,560 Speaker 5: cases and others where we as humanity build a lot 314 00:15:05,600 --> 00:15:06,720 Speaker 5: of plastics in. 315 00:15:06,800 --> 00:15:09,040 Speaker 1: Plastic is in so many things that we do. Right, 316 00:15:09,160 --> 00:15:10,960 Speaker 1: we think of it as like plastic bottles, but it's 317 00:15:11,000 --> 00:15:11,400 Speaker 1: in everything. 318 00:15:11,400 --> 00:15:14,040 Speaker 5: It's in our clothes, it's in you know, our airplanes, 319 00:15:14,080 --> 00:15:16,000 Speaker 5: it's in our it's definitely in our body, right, and 320 00:15:16,040 --> 00:15:18,480 Speaker 5: it's in microplastics are a bigger thing. So a lot 321 00:15:18,520 --> 00:15:21,440 Speaker 5: of the plastic degradation tools out there are just making 322 00:15:21,520 --> 00:15:25,600 Speaker 5: smaller plastics. That's not helpful. We actually have to disintegrate 323 00:15:25,640 --> 00:15:27,840 Speaker 5: and break the chemical bonds, and so we are now 324 00:15:27,920 --> 00:15:31,240 Speaker 5: using synthetic biology to supercharge. 325 00:15:30,520 --> 00:15:32,840 Speaker 1: Those microisms organisms. 326 00:15:32,360 --> 00:15:35,520 Speaker 5: So that we were we've already made it where plastic 327 00:15:35,560 --> 00:15:38,680 Speaker 5: that could never be broken down, so literally never that 328 00:15:38,720 --> 00:15:41,360 Speaker 5: we know of, can now be broken down in twenty 329 00:15:41,360 --> 00:15:43,920 Speaker 5: two months, and we're trying to get that down under 330 00:15:44,200 --> 00:15:45,040 Speaker 5: twenty two hours. 331 00:15:45,160 --> 00:15:46,720 Speaker 2: Yeah, you gotta get faster because a lot of people 332 00:15:46,720 --> 00:15:48,560 Speaker 2: are trying to get rid of those top secret vibrators. 333 00:15:51,400 --> 00:15:52,520 Speaker 1: It'll help so many people. 334 00:15:52,600 --> 00:15:54,760 Speaker 2: I gotta melt that thing down before mom and dad 335 00:15:54,800 --> 00:15:59,280 Speaker 2: get right, So if you accelerate that pilot that we 336 00:15:59,320 --> 00:15:59,960 Speaker 2: haven't explored. 337 00:16:00,040 --> 00:16:07,680 Speaker 6: Ye, just talking real world right now. I know, I 338 00:16:07,720 --> 00:16:08,240 Speaker 6: know you've. 339 00:16:08,120 --> 00:16:10,000 Speaker 2: Got a lot, you've got a busy schedule today. If 340 00:16:10,040 --> 00:16:12,320 Speaker 2: you want to know more about what all the above, 341 00:16:12,400 --> 00:16:14,480 Speaker 2: you can actually go back and listen to that podcast 342 00:16:15,120 --> 00:16:18,880 Speaker 2: featuring uh Ben and Beth with Gandhi and her Sauce 343 00:16:18,920 --> 00:16:20,080 Speaker 2: on the side podcast. 344 00:16:19,680 --> 00:16:21,840 Speaker 1: Where else can we see you? How can we learn more? 345 00:16:21,960 --> 00:16:23,600 Speaker 5: So we try, we try to communicate, right, So we 346 00:16:23,640 --> 00:16:26,160 Speaker 5: have a YouTube channel, right, we're constantly putting out content. 347 00:16:26,320 --> 00:16:29,560 Speaker 5: We're putting We're constantly putting out content on social our websites, 348 00:16:29,640 --> 00:16:32,920 Speaker 5: just colossal dot com. It's very easy to find. Got 349 00:16:32,920 --> 00:16:35,400 Speaker 5: that good for you, and so please please go to it, 350 00:16:35,440 --> 00:16:37,760 Speaker 5: please watch it because you know, people get excited about 351 00:16:37,800 --> 00:16:40,600 Speaker 5: the headlines, right, and everyone's very busy. But like I said, 352 00:16:40,760 --> 00:16:43,080 Speaker 5: and like we talked about at the top of the show, 353 00:16:43,400 --> 00:16:45,560 Speaker 5: most people don't even know about the red Wolf for 354 00:16:45,680 --> 00:16:48,320 Speaker 5: because they just focused on the dire wolves. And it's 355 00:16:48,360 --> 00:16:50,680 Speaker 5: great that everyone in the world is talking about de 356 00:16:50,800 --> 00:16:54,440 Speaker 5: extinction and species preservation and the extinction crisis, right I 357 00:16:54,560 --> 00:16:56,840 Speaker 5: love that people are talking about that and that projects 358 00:16:56,880 --> 00:16:58,920 Speaker 5: like the Direwolf did that. But I also want to 359 00:16:58,960 --> 00:17:01,280 Speaker 5: make sure people understand the applications to conservation. 360 00:17:02,400 --> 00:17:03,880 Speaker 1: Uh Gandhi, is there anything you want to do to 361 00:17:03,880 --> 00:17:04,360 Speaker 1: wrap up? 362 00:17:04,560 --> 00:17:06,880 Speaker 7: Yeah, because in the company, but he said they don't 363 00:17:06,880 --> 00:17:11,880 Speaker 7: need any By the way, I love. 364 00:17:11,800 --> 00:17:12,400 Speaker 1: What you guys are doing. 365 00:17:12,440 --> 00:17:15,240 Speaker 2: Ben, Are you interested in buying well, a media company 366 00:17:15,240 --> 00:17:16,560 Speaker 2: called I'm Heart. 367 00:17:17,880 --> 00:17:20,400 Speaker 5: We're very very focused, and you know, I think I think, 368 00:17:20,640 --> 00:17:22,520 Speaker 5: I think we've seen a lot of other big tech 369 00:17:22,520 --> 00:17:24,000 Speaker 5: people buy media companies. 370 00:17:24,119 --> 00:17:25,159 Speaker 1: Let's see how they'll shake you off. 371 00:17:26,960 --> 00:17:29,560 Speaker 2: All right, Well, Ben, Lamb Best Shapiro. We could go 372 00:17:29,600 --> 00:17:31,400 Speaker 2: on and on and on. You were fabulous for being 373 00:17:31,440 --> 00:17:33,719 Speaker 2: here and in good luck with everything. We'll keep an 374 00:17:33,720 --> 00:17:35,600 Speaker 2: eye on you. Thanks so much, awesome, thank you. 375 00:17:35,880 --> 00:17:36,080 Speaker 5: Thank