1 00:00:02,880 --> 00:00:05,160 Speaker 1: My name is Lily Maddon and I'm a proud Arunda 2 00:00:05,400 --> 00:00:10,200 Speaker 1: Bunjelung Calcuttin woman from Gadighl Country. The Daily oz acknowledges 3 00:00:10,280 --> 00:00:12,440 Speaker 1: that this podcast is recorded on the lands of the 4 00:00:12,480 --> 00:00:16,040 Speaker 1: Gadighl people and pays respect to all Aboriginal and Torres 5 00:00:16,040 --> 00:00:18,959 Speaker 1: Straight Island and nations. We pay our respects to the 6 00:00:18,960 --> 00:00:21,759 Speaker 1: first peoples of these countries, both past and present. 7 00:00:27,560 --> 00:00:30,240 Speaker 2: Good morning and welcome to the Daily os It's Thursday, 8 00:00:30,320 --> 00:00:33,600 Speaker 2: the fifteenth of December. I'm Sam, I'm Zarah. Last month, 9 00:00:33,720 --> 00:00:36,360 Speaker 2: the US Food Regulator said for the first time that 10 00:00:36,479 --> 00:00:39,360 Speaker 2: a type of so called lab grown meat was safe 11 00:00:39,400 --> 00:00:42,519 Speaker 2: to eat. But Singapore is still the only jurisdiction in 12 00:00:42,560 --> 00:00:45,880 Speaker 2: the world to allow the commercial sale of cultured meats. 13 00:00:46,320 --> 00:00:49,040 Speaker 2: So what does that all mean and how long before 14 00:00:49,120 --> 00:00:51,800 Speaker 2: you can get a lab grown sausage sizzle at your 15 00:00:51,800 --> 00:00:55,720 Speaker 2: local Bunnings. Well, I spoke to George pepu CEO and 16 00:00:55,800 --> 00:00:57,800 Speaker 2: founder of cultured meat company VOW. 17 00:00:57,920 --> 00:00:59,640 Speaker 3: I got in trouble at a vegan conference for saying 18 00:00:59,640 --> 00:01:02,840 Speaker 3: that I give a fuck about vegans. The reason VOW exists. 19 00:01:02,840 --> 00:01:04,520 Speaker 3: The reason I'm doing this is I want to make 20 00:01:04,560 --> 00:01:07,840 Speaker 3: the most enjoyable food the most satisfying and satiating food 21 00:01:07,840 --> 00:01:10,200 Speaker 3: on the planet. To change the habits of meat eaters. 22 00:01:11,120 --> 00:01:13,080 Speaker 2: I'm going to share that chat with you in the 23 00:01:13,120 --> 00:01:15,720 Speaker 2: Deep Dive. But first, what's making headlines this morning. 24 00:01:19,800 --> 00:01:23,120 Speaker 4: Federal Parliament will sit today even though the formal parliamentary 25 00:01:23,200 --> 00:01:26,679 Speaker 4: year is technically over. Parliament was recalled by Prime Minister 26 00:01:26,720 --> 00:01:30,399 Speaker 4: Anthony Albanesi to pass urgent laws enforcing price caps on 27 00:01:30,480 --> 00:01:33,880 Speaker 4: coal and gas. Greens leader Adam Bant said yesterday that 28 00:01:33,959 --> 00:01:36,720 Speaker 4: his party will support the government's proposal, which means the 29 00:01:36,800 --> 00:01:38,520 Speaker 4: legislation is set to pass. 30 00:01:40,920 --> 00:01:43,600 Speaker 2: One of the Queensland Police officers involved in a fatal 31 00:01:43,600 --> 00:01:47,520 Speaker 2: shootout at a rural property has undergone surgery. The procedure 32 00:01:47,600 --> 00:01:50,360 Speaker 2: was to remove shrapnel and repair injuries from the incident. 33 00:01:50,760 --> 00:01:53,400 Speaker 2: Constable Randall Kirk said he was a little sore but 34 00:01:53,480 --> 00:01:54,760 Speaker 2: otherwise feeling okay. 35 00:01:56,880 --> 00:01:59,840 Speaker 4: Anyone born after two thousand and eight won't be able 36 00:01:59,880 --> 00:02:03,240 Speaker 4: to legally purchased cigarettes in New Zealand for the entirety 37 00:02:03,280 --> 00:02:06,760 Speaker 4: of their lives. That's under new legislation which passed Parliament 38 00:02:06,840 --> 00:02:09,720 Speaker 4: this week. The law's aimed to reduce the strain caused 39 00:02:09,720 --> 00:02:14,720 Speaker 4: by tobacco use on the country's health system. 40 00:02:13,440 --> 00:02:15,800 Speaker 2: And today's good news. The Australian women's four by one 41 00:02:15,919 --> 00:02:18,799 Speaker 2: hundred freestyle realay team has set a new world record 42 00:02:18,840 --> 00:02:21,400 Speaker 2: in Melbourne on the back of an historic performance from 43 00:02:21,400 --> 00:02:25,919 Speaker 2: Emma McKean, Meg Harris, Molly O'Callahan, Manison Wilson and McKean 44 00:02:26,080 --> 00:02:28,440 Speaker 2: shaved more than a second that's a lot in swimming 45 00:02:28,720 --> 00:02:31,920 Speaker 2: off the previous world record, with McKean becoming the first 46 00:02:31,960 --> 00:02:34,080 Speaker 2: woman ever to finish her leg of the race in 47 00:02:34,160 --> 00:02:39,760 Speaker 2: under fifty seconds. After I heard the news that the 48 00:02:39,840 --> 00:02:43,000 Speaker 2: US Food and Drug Administration had declared the first meat 49 00:02:43,000 --> 00:02:46,200 Speaker 2: product grown from animal cells as safe to eat, I 50 00:02:46,240 --> 00:02:49,079 Speaker 2: wanted to know how far off Australia was from doing 51 00:02:49,120 --> 00:02:51,720 Speaker 2: the same thing, And I thought, who better to ask 52 00:02:51,880 --> 00:02:53,519 Speaker 2: than the man trying to make it happen. 53 00:02:53,960 --> 00:02:55,920 Speaker 3: Hey, my name's George. I'm one of the founders and 54 00:02:55,960 --> 00:02:59,200 Speaker 3: the CEO of VOW and we are a cultured meat 55 00:02:59,240 --> 00:03:01,080 Speaker 3: company based here in Sydney, Australia. 56 00:03:01,080 --> 00:03:04,840 Speaker 2: Interesting cultured meat. Now, is there a reason why we're 57 00:03:04,840 --> 00:03:06,160 Speaker 2: not calling it lab grown meat? 58 00:03:07,360 --> 00:03:10,400 Speaker 3: I mean there's several reasons. The first is it's just 59 00:03:10,400 --> 00:03:13,640 Speaker 3: not accurate. Is we developed this in a lab? But 60 00:03:13,680 --> 00:03:15,840 Speaker 3: we grow it in a factory, and so calling it 61 00:03:15,919 --> 00:03:18,399 Speaker 3: lab grown meat is the same as calling Oreo's lab 62 00:03:18,440 --> 00:03:21,600 Speaker 3: developed cookies. Yes, it's technically true they were developed in 63 00:03:21,639 --> 00:03:23,400 Speaker 3: a lab, but it's really not a very helpful way 64 00:03:23,440 --> 00:03:26,440 Speaker 3: of talking about food. So cultured meat is an accurate 65 00:03:26,440 --> 00:03:29,280 Speaker 3: description of what we're talking about. We actually had the 66 00:03:29,320 --> 00:03:32,079 Speaker 3: food regulator Glenn Neil from Food Standard Day and Dad. 67 00:03:32,280 --> 00:03:34,080 Speaker 3: Someone asked this question to him when he was on 68 00:03:34,120 --> 00:03:36,600 Speaker 3: a panel, and he just said, this is a food 69 00:03:36,680 --> 00:03:39,120 Speaker 3: labeling requirement. If they even try to call it lab 70 00:03:39,160 --> 00:03:41,840 Speaker 3: grown meat, that's not an accurate description, and I'll be 71 00:03:41,920 --> 00:03:44,280 Speaker 3: on them and enforcing accurate labeling. 72 00:03:44,960 --> 00:03:47,840 Speaker 2: Wow. Okay, so we're going to call it cultured meat. Then, 73 00:03:47,920 --> 00:03:51,080 Speaker 2: in line with the food regulations. Now that we've got 74 00:03:51,120 --> 00:03:55,080 Speaker 2: the semantics sorted, let's take a step back. Why cultured meat? 75 00:03:55,400 --> 00:03:58,040 Speaker 3: Sure? So I'll kind of cover this in three sections. 76 00:03:58,040 --> 00:04:01,200 Speaker 3: The first section is why can't we produce more animals? 77 00:04:01,280 --> 00:04:03,880 Speaker 3: The second section is what makes meat so good? And 78 00:04:03,880 --> 00:04:06,080 Speaker 3: then the third section is what actually is cultured meat? 79 00:04:06,520 --> 00:04:09,080 Speaker 3: So to start with, basically, meat demand is going up 80 00:04:09,120 --> 00:04:11,680 Speaker 3: everywhere around the world. It's very easy when we sit 81 00:04:11,760 --> 00:04:13,640 Speaker 3: in inner city Sydney to think that there's this huge 82 00:04:13,680 --> 00:04:15,760 Speaker 3: vegan and vegetarian movement and it must be going the 83 00:04:15,840 --> 00:04:19,479 Speaker 3: other way, but that's not true. Is especially in places 84 00:04:19,520 --> 00:04:23,320 Speaker 3: like China, India, Africa, South America, as wealth increases, we 85 00:04:23,400 --> 00:04:25,360 Speaker 3: all do the same thing. We all start to add 86 00:04:25,360 --> 00:04:28,680 Speaker 3: more meat to our diet, and so globally meat consumption 87 00:04:29,240 --> 00:04:31,240 Speaker 3: the last I think seven years have been the global 88 00:04:31,240 --> 00:04:34,000 Speaker 3: record in meat consumption, breaking the record of the year before. 89 00:04:34,360 --> 00:04:36,560 Speaker 3: And so to meet that demand, you just have to 90 00:04:36,600 --> 00:04:38,760 Speaker 3: cram more animals into the same space. You have to 91 00:04:38,960 --> 00:04:42,360 Speaker 3: clear land to grow food crops to feed those animals, 92 00:04:42,920 --> 00:04:45,520 Speaker 3: and none of that is good for the animals themselves. 93 00:04:45,520 --> 00:04:47,599 Speaker 3: None of that is good for the emissions those animals create. 94 00:04:48,000 --> 00:04:50,400 Speaker 3: No one looks at a twenty six story factory farm 95 00:04:50,440 --> 00:04:52,600 Speaker 3: for pigs in China and says, hell, yeah, I want 96 00:04:52,600 --> 00:04:55,240 Speaker 3: that to exist. I want more of this, And so 97 00:04:55,320 --> 00:04:58,200 Speaker 3: then you have this problem as an individual like me, 98 00:04:58,279 --> 00:05:00,760 Speaker 3: I like eating meat. You might do as well, but 99 00:05:00,839 --> 00:05:02,560 Speaker 3: we don't look at the way meat produced and think 100 00:05:02,600 --> 00:05:04,440 Speaker 3: we want more of that. So then the question is 101 00:05:04,480 --> 00:05:06,440 Speaker 3: how do we get the good parts of animals without 102 00:05:06,480 --> 00:05:09,320 Speaker 3: having to produce them? And so the first question you 103 00:05:09,360 --> 00:05:11,520 Speaker 3: need to answer is wise meat so good? And the 104 00:05:11,600 --> 00:05:13,560 Speaker 3: very very simple answer if you go and talk to 105 00:05:13,600 --> 00:05:15,760 Speaker 3: meat experts is they basically say, we don't know, but 106 00:05:15,800 --> 00:05:19,000 Speaker 3: it's really really complicated, and a lot of that complexity 107 00:05:19,080 --> 00:05:21,400 Speaker 3: is what drives that satiation and that satisfaction. When you 108 00:05:21,440 --> 00:05:23,480 Speaker 3: eat a beef burger compared to a veggie burger, there 109 00:05:23,520 --> 00:05:25,159 Speaker 3: is something about the way it feels in your mouth, 110 00:05:25,160 --> 00:05:26,800 Speaker 3: the way that feels in your stomach, the way it 111 00:05:26,800 --> 00:05:29,599 Speaker 3: feels three hours after you've eaten, which is different. It's 112 00:05:29,680 --> 00:05:32,160 Speaker 3: very very hard to articulate, and that comes from all 113 00:05:32,200 --> 00:05:34,800 Speaker 3: of these different complex molecules we find in those animal 114 00:05:34,800 --> 00:05:37,440 Speaker 3: tissues in combination. And so then if you look at 115 00:05:37,440 --> 00:05:39,239 Speaker 3: the other ways to make it, you look at plant 116 00:05:39,240 --> 00:05:40,600 Speaker 3: based and you say, well, that's never going to have 117 00:05:40,640 --> 00:05:42,599 Speaker 3: the complement of molecules. That's never going to give that 118 00:05:42,640 --> 00:05:45,360 Speaker 3: complexity in the satisfaction. And so how do we get 119 00:05:45,440 --> 00:05:48,440 Speaker 3: that without having to grow a whole animal? And that's 120 00:05:48,440 --> 00:05:51,640 Speaker 3: what cultured meat does. So when you're sitting there in 121 00:05:51,640 --> 00:05:53,719 Speaker 3: front of a steak or in front of a chicken breast, 122 00:05:54,040 --> 00:05:56,800 Speaker 3: what you're really eating is muscle, and that muscle contains 123 00:05:56,800 --> 00:05:58,960 Speaker 3: a bunch of different cells like muscle cells, fat cells, 124 00:05:58,960 --> 00:06:02,040 Speaker 3: connective tissue cells, vessels, and a whole bunch of immune cells, 125 00:06:02,560 --> 00:06:05,159 Speaker 3: and a very small subset of those driving most of 126 00:06:05,160 --> 00:06:08,080 Speaker 3: the sensory experience and most of the satisfaction. What we 127 00:06:08,120 --> 00:06:10,560 Speaker 3: do in cultured meat is we take a sample of 128 00:06:10,560 --> 00:06:14,240 Speaker 3: tissue and we separate out the cells that can repair muscle, fat, 129 00:06:14,320 --> 00:06:17,880 Speaker 3: and connective tissue cells of a few other cell types. We 130 00:06:18,000 --> 00:06:20,880 Speaker 3: place them in an environment where we basically trick them 131 00:06:20,880 --> 00:06:22,680 Speaker 3: into thinking they need to grow and grow and grow, 132 00:06:22,800 --> 00:06:25,280 Speaker 3: doubling into more and more of themselves in this big 133 00:06:25,320 --> 00:06:29,560 Speaker 3: stainless steel vessel called a cultivator, and then when we're ready, 134 00:06:29,560 --> 00:06:31,359 Speaker 3: we harvest those and we can turn them into a 135 00:06:31,360 --> 00:06:34,200 Speaker 3: finished food product. So you get that complexity, you get 136 00:06:34,200 --> 00:06:37,640 Speaker 3: that satisfaction in that satiation of eating animal tissue. But 137 00:06:37,720 --> 00:06:39,640 Speaker 3: we're only growing the parts that we want to eat. 138 00:06:39,640 --> 00:06:42,760 Speaker 3: We're not growing the entire animal. We're not growing the 139 00:06:42,880 --> 00:06:45,120 Speaker 3: entire animal just to eat, you know, twenty to forty 140 00:06:45,160 --> 00:06:46,880 Speaker 3: percent of it, depending on what you're talking about. 141 00:06:47,600 --> 00:06:51,320 Speaker 2: Have you had conversations with vegetarians or vegetarian friends about 142 00:06:51,600 --> 00:06:53,760 Speaker 2: your product, Like, what's the kind of sentiment on the 143 00:06:53,760 --> 00:06:55,080 Speaker 2: ground from their perspective. 144 00:06:55,720 --> 00:06:57,800 Speaker 3: So I got asked this question a lot, and I 145 00:06:57,800 --> 00:07:00,000 Speaker 3: got in trouble at a vegan conference. I'm not a vegan, 146 00:07:00,040 --> 00:07:02,640 Speaker 3: I'm a meat eater. I got in trouble at a 147 00:07:02,720 --> 00:07:04,400 Speaker 3: vegan conference for saying that I don't give a fuck 148 00:07:04,400 --> 00:07:08,039 Speaker 3: about vegans. And where that really comes from is the 149 00:07:08,080 --> 00:07:10,200 Speaker 3: reason vow exists. The reason I'm doing this is I 150 00:07:10,240 --> 00:07:12,920 Speaker 3: want to make the most enjoyable food, the most satisfying 151 00:07:12,960 --> 00:07:16,080 Speaker 3: and satiating food on the planet, to make to change 152 00:07:16,080 --> 00:07:18,560 Speaker 3: the habits of meat eaters. If you're a vegan and 153 00:07:18,600 --> 00:07:20,320 Speaker 3: you're going to eat a block of tofu and instead 154 00:07:20,320 --> 00:07:22,560 Speaker 3: you're going to eat the piece of cultured meat, at best, 155 00:07:22,560 --> 00:07:26,239 Speaker 3: you're going incrementally backwards, you're probably having a slightly making 156 00:07:26,240 --> 00:07:30,040 Speaker 3: a slightly more impactful dietary decision. And so my preference 157 00:07:30,040 --> 00:07:32,120 Speaker 3: is for vegetarians not to be eating our products and 158 00:07:32,200 --> 00:07:34,200 Speaker 3: instead for meat eater is to be choosing them because 159 00:07:34,240 --> 00:07:37,280 Speaker 3: they're more satisfying, more nutritious, or just more enjoyable food. 160 00:07:37,560 --> 00:07:42,560 Speaker 2: Okay, So chasing the existing meat eaters to change their habits, 161 00:07:43,040 --> 00:07:45,320 Speaker 2: exactly when are we going to be able to buy 162 00:07:45,400 --> 00:07:47,880 Speaker 2: of our products off the shelf in Australia. 163 00:07:48,240 --> 00:07:51,360 Speaker 3: So we're doing our best to come to market towards 164 00:07:51,400 --> 00:07:53,560 Speaker 3: the end of next year. In Australia, we're working very 165 00:07:53,560 --> 00:07:55,600 Speaker 3: closely with Food Standard danes At and have been for 166 00:07:55,680 --> 00:07:59,520 Speaker 3: quite some time now. They've seen a complete set of 167 00:07:59,560 --> 00:08:02,080 Speaker 3: safety from US, or a complete draft set of safety 168 00:08:02,160 --> 00:08:04,240 Speaker 3: data from US, and gave us heaps and heaps of 169 00:08:04,240 --> 00:08:07,000 Speaker 3: feedback which we've incorporated, and then we're going to be 170 00:08:07,200 --> 00:08:09,720 Speaker 3: giving the final updated version of that safety data just 171 00:08:09,760 --> 00:08:14,560 Speaker 3: before Christmas. And it takes them no more than twelve 172 00:08:14,600 --> 00:08:16,480 Speaker 3: months to go through that review process and then a 173 00:08:16,520 --> 00:08:19,280 Speaker 3: couple of months for public comment after that. So best 174 00:08:19,280 --> 00:08:20,720 Speaker 3: case is towards the end of next year. 175 00:08:21,240 --> 00:08:25,200 Speaker 2: Okay, So right now I could say that Thow products 176 00:08:25,200 --> 00:08:27,120 Speaker 2: are illegal, and that was what There was a great 177 00:08:27,120 --> 00:08:30,080 Speaker 2: headline in the news that the new factory making meat 178 00:08:30,080 --> 00:08:33,440 Speaker 2: that's illegal to eat. Yes, where are you? What are 179 00:08:33,440 --> 00:08:35,480 Speaker 2: you going to do with the meat that you're cultivating now? 180 00:08:36,840 --> 00:08:38,840 Speaker 3: So we're launching first in Singapore. So we've been working 181 00:08:38,880 --> 00:08:41,760 Speaker 3: with the Singaporean regulator for quite some time and the 182 00:08:41,760 --> 00:08:44,000 Speaker 3: intention is as soon as we get approval in Singapore, 183 00:08:44,000 --> 00:08:46,280 Speaker 3: we're going to be exporting the food that we're producing 184 00:08:46,280 --> 00:08:50,160 Speaker 3: here in Sydney to Singapore for sale, whilst we build 185 00:08:50,320 --> 00:08:54,160 Speaker 3: up manufacturing capacity somewhere in Asia to serve that market 186 00:08:54,160 --> 00:08:57,000 Speaker 3: in the long term. So it's not going to waste, 187 00:08:57,080 --> 00:08:59,200 Speaker 3: it's not just going to be eaten by me. It's 188 00:08:59,200 --> 00:09:01,440 Speaker 3: going to be it's going to be heading over to Singapore. 189 00:09:01,600 --> 00:09:04,240 Speaker 2: What's the feedback you're getting from the food regulators in 190 00:09:04,280 --> 00:09:09,319 Speaker 2: Australia with what they're actually concerned about, especially after the 191 00:09:09,400 --> 00:09:13,360 Speaker 2: FDA in the US approved lab grown meat or cultured meat. 192 00:09:13,679 --> 00:09:15,680 Speaker 2: What's the sentiment from regulators here. 193 00:09:17,240 --> 00:09:20,280 Speaker 3: Honestly, mostly it's been in patience. They've been just saying, 194 00:09:20,320 --> 00:09:22,800 Speaker 3: give us data, give it to us, give us the 195 00:09:22,880 --> 00:09:25,520 Speaker 3: data now, and so now we're able to give them 196 00:09:25,520 --> 00:09:29,280 Speaker 3: the full data. They basically if you think about the 197 00:09:29,360 --> 00:09:31,840 Speaker 3: role of the food regulator, it's to make sure that 198 00:09:31,880 --> 00:09:34,400 Speaker 3: we are competent to manage the risk of food. And 199 00:09:34,400 --> 00:09:36,120 Speaker 3: there's some parts of what we're doing which are really 200 00:09:36,160 --> 00:09:37,840 Speaker 3: really standard. It's like, do we get it in the 201 00:09:37,840 --> 00:09:41,040 Speaker 3: fridge quickly enough, do we code individual packages so that 202 00:09:41,080 --> 00:09:42,719 Speaker 3: you can run a recall. All of that stuff is 203 00:09:42,760 --> 00:09:45,520 Speaker 3: standard regardless of the food you're making. But where we've 204 00:09:45,520 --> 00:09:47,560 Speaker 3: spent most of our time is talking about the novel 205 00:09:47,640 --> 00:09:49,839 Speaker 3: risks of culturing cells as a way of producing food, 206 00:09:50,240 --> 00:09:53,800 Speaker 3: what new risks could be introduced, and what level of 207 00:09:55,040 --> 00:09:59,120 Speaker 3: controls we're providing to protect from those risks, and are 208 00:09:59,160 --> 00:10:04,040 Speaker 3: those grounded and really really strong scientific data, And so 209 00:10:04,120 --> 00:10:06,199 Speaker 3: a lot of that comes down to things like are 210 00:10:06,200 --> 00:10:08,240 Speaker 3: the cells changing in a way which could be dangerous? 211 00:10:08,400 --> 00:10:11,080 Speaker 3: Are there any allergens that may not be expected, and 212 00:10:11,120 --> 00:10:13,520 Speaker 3: are we being really really considerate around making sure they 213 00:10:13,520 --> 00:10:16,079 Speaker 3: don't cause any allergies? And is there anything that we're 214 00:10:16,080 --> 00:10:18,560 Speaker 3: growing the cells in that if it was accumulated and 215 00:10:18,600 --> 00:10:21,280 Speaker 3: in the final product, could present harm. And so there's 216 00:10:21,280 --> 00:10:25,200 Speaker 3: nothing very complex. Each of those are relatively straightforward. We 217 00:10:25,280 --> 00:10:28,839 Speaker 3: have a huge responsibility and the regulator also has that 218 00:10:28,920 --> 00:10:31,560 Speaker 3: huge shares that responsibility to make sure that we are 219 00:10:32,080 --> 00:10:35,080 Speaker 3: providing food that is extremely safe. And so there's a 220 00:10:35,200 --> 00:10:38,040 Speaker 3: very very they're not very much margin for errors you 221 00:10:38,080 --> 00:10:39,920 Speaker 3: can imagine in food, and they want to be very 222 00:10:40,040 --> 00:10:44,480 Speaker 3: certain that we are understand and are controlling for all 223 00:10:44,520 --> 00:10:45,240 Speaker 3: of those risks. 224 00:10:45,280 --> 00:10:47,800 Speaker 2: And I imagine there's nothing worse for a brand than 225 00:10:48,400 --> 00:10:50,280 Speaker 2: having a story written about you and the daily os 226 00:10:50,360 --> 00:10:53,200 Speaker 2: for a recall notice. So some of those some of 227 00:10:53,240 --> 00:10:55,920 Speaker 2: those kind of steps are obviously vital to the business 228 00:10:55,960 --> 00:10:59,679 Speaker 2: success as well. Absolutely, speaking of the business, what's the 229 00:10:59,760 --> 00:11:02,719 Speaker 2: kind of price point that you'd be looking at for consumers? 230 00:11:03,040 --> 00:11:06,040 Speaker 3: Our strategy has always been to start with expensive, small 231 00:11:06,120 --> 00:11:08,680 Speaker 3: volume products. We never set out to come straight to 232 00:11:08,720 --> 00:11:11,680 Speaker 3: the supermarket or be in a regular or burger. This 233 00:11:11,920 --> 00:11:15,360 Speaker 3: is to begin with a luxury product. But the reason 234 00:11:15,360 --> 00:11:17,280 Speaker 3: we're building this company is to build the biggest food 235 00:11:17,280 --> 00:11:19,000 Speaker 3: company on the planet, and so we want this to 236 00:11:19,000 --> 00:11:21,280 Speaker 3: become the cheapest and the default protein source in the 237 00:11:21,280 --> 00:11:24,160 Speaker 3: long term. So to start with, it's going to be really, 238 00:11:24,200 --> 00:11:26,160 Speaker 3: really expensive. You're only going to be finding it at 239 00:11:26,160 --> 00:11:28,880 Speaker 3: the most expensive restaurants with the best possible chefs, and 240 00:11:28,920 --> 00:11:31,800 Speaker 3: that's a very intentional decision. We want your first contact 241 00:11:31,800 --> 00:11:35,200 Speaker 3: with cultured meat to be extraordinary and to kind of 242 00:11:35,240 --> 00:11:39,400 Speaker 3: open up this new set of culinary opportunities. Over time, 243 00:11:39,559 --> 00:11:42,240 Speaker 3: you'll start to see that coming into premium food service, 244 00:11:42,320 --> 00:11:45,000 Speaker 3: premium food retail a couple of years later, and then 245 00:11:45,040 --> 00:11:48,280 Speaker 3: eventually every supermarket multiple offerings on the shelf from the 246 00:11:48,320 --> 00:11:51,000 Speaker 3: absolute lowest to the highest price point. But to begin with, 247 00:11:51,040 --> 00:11:52,720 Speaker 3: it's going to be very expensive, and you're only going 248 00:11:52,760 --> 00:11:54,360 Speaker 3: to be seeing it at very high end restaurants. 249 00:11:54,920 --> 00:11:57,760 Speaker 2: Give me a sense of the timeline because I'm really 250 00:11:57,920 --> 00:12:01,120 Speaker 2: keen to understand if you're talking about fifty years, if 251 00:12:01,160 --> 00:12:03,640 Speaker 2: you're talking about five years, like when are we going 252 00:12:03,679 --> 00:12:07,959 Speaker 2: to see our sausages all outside Bunnings with cultured meat? 253 00:12:08,559 --> 00:12:12,160 Speaker 3: Five years? So the I'm trying to think of the 254 00:12:12,200 --> 00:12:14,280 Speaker 3: orders and magnitude. I think we've dropped our costs more 255 00:12:14,320 --> 00:12:17,080 Speaker 3: than one hundred times in the last twelve months, right, 256 00:12:17,160 --> 00:12:19,600 Speaker 3: and as we move into building our second factory, in 257 00:12:19,640 --> 00:12:22,560 Speaker 3: our third factory, those increments and scales are big, big 258 00:12:22,679 --> 00:12:25,319 Speaker 3: drivers of cost down. So by the end of twenty 259 00:12:25,360 --> 00:12:27,559 Speaker 3: twenty four, we want to be under fifty dollars a 260 00:12:27,640 --> 00:12:30,480 Speaker 3: kilo consistently. There's a lot of work to do to 261 00:12:30,520 --> 00:12:33,839 Speaker 3: get there. That there's nothing fundamentally new that we need 262 00:12:33,880 --> 00:12:36,440 Speaker 3: to invent. There's a lot of incremental improvements apply chin 263 00:12:36,440 --> 00:12:39,320 Speaker 3: optimization and automation, and then beyond that, by the end 264 00:12:39,320 --> 00:12:41,240 Speaker 3: of the decade, we want to be at or cheaper 265 00:12:41,280 --> 00:12:42,600 Speaker 3: than commodity need products. 266 00:12:43,120 --> 00:12:54,040 Speaker 2: Thanks for that, Georsh, no problem. 267 00:12:49,360 --> 00:12:51,640 Speaker 4: Thanks for joining us on the daily ours. If we 268 00:12:51,760 --> 00:12:55,000 Speaker 4: learned something from today's episode, don't forget to hit subscribe, 269 00:12:55,040 --> 00:12:58,360 Speaker 4: so there's a TVA episode waiting for you every weekday morning. 270 00:12:58,840 --> 00:13:01,319 Speaker 4: We'll be back again to my horrow morning, but until then, 271 00:13:01,440 --> 00:13:03,320 Speaker 4: have a brilliant day. 272 00:13:07,480 --> 00:13:07,520 Speaker 3: M