1 00:00:07,760 --> 00:00:11,840 Speaker 1: From WBZ News Radio in Boston. This is New England Weekend. 2 00:00:12,080 --> 00:00:14,560 Speaker 1: Each and every week right here, we come together, we 3 00:00:14,680 --> 00:00:17,280 Speaker 1: talk about all the topics important to you and the 4 00:00:17,280 --> 00:00:19,079 Speaker 1: place where you live. Great to have you with us 5 00:00:19,160 --> 00:00:22,400 Speaker 1: this week. As always, I'm Nicole Davis. It's pretty rare 6 00:00:22,480 --> 00:00:24,040 Speaker 1: these days to be able to sit down and go 7 00:00:24,079 --> 00:00:26,160 Speaker 1: through a photo album with your loved ones like we 8 00:00:26,280 --> 00:00:28,720 Speaker 1: used to. It is, of course, certainly possible to get 9 00:00:28,720 --> 00:00:31,440 Speaker 1: your photos printed, but there are just some memories that 10 00:00:31,520 --> 00:00:34,440 Speaker 1: you're not able to capture on camera. A few years ago, 11 00:00:34,520 --> 00:00:36,920 Speaker 1: a chance meeting at Harvard University led a pair of 12 00:00:36,960 --> 00:00:40,360 Speaker 1: students to develop a brand new program using generative AI 13 00:00:40,520 --> 00:00:43,720 Speaker 1: to capture and preserve memories. They tell those stories through 14 00:00:43,760 --> 00:00:46,440 Speaker 1: illustrated books, and the books take just minutes to make 15 00:00:46,479 --> 00:00:49,440 Speaker 1: through a kiosk at the Harvard Coop in Cambridge. All 16 00:00:49,479 --> 00:00:51,600 Speaker 1: you need to do is spend about a minute telling 17 00:00:51,600 --> 00:00:54,240 Speaker 1: a story. Let's learn more about how this all works 18 00:00:54,280 --> 00:00:57,680 Speaker 1: with Brian Ramero, one of the founders of story Fave. Brian, 19 00:00:57,720 --> 00:00:59,880 Speaker 1: thanks for the time and I'm really curious about this 20 00:01:00,080 --> 00:01:01,920 Speaker 1: or are you coming out of Harvard? Tell us a 21 00:01:01,960 --> 00:01:03,640 Speaker 1: bit more about how this came to life. 22 00:01:03,920 --> 00:01:06,440 Speaker 2: Sure, Well, it'll started with something my mom used to 23 00:01:06,480 --> 00:01:08,920 Speaker 2: say every Sunday morning when I was a kid, and 24 00:01:09,000 --> 00:01:12,080 Speaker 2: it became a life change in moment for my family 25 00:01:12,080 --> 00:01:16,240 Speaker 2: and me. So back then she tried everything to wake 26 00:01:16,319 --> 00:01:18,800 Speaker 2: us up with my brothers for church. This was every 27 00:01:18,840 --> 00:01:22,080 Speaker 2: Sunday when we were kids, and we did not want 28 00:01:22,120 --> 00:01:24,600 Speaker 2: to be up early, especially on a Sunday. So she 29 00:01:24,680 --> 00:01:27,319 Speaker 2: used to say this phrase in Spanish, and with this 30 00:01:27,640 --> 00:01:33,120 Speaker 2: unbelievably warm and loving tone, she said, arises, which actually 31 00:01:33,120 --> 00:01:36,280 Speaker 2: meant lifts up your hearts or lift up your spirits, 32 00:01:36,680 --> 00:01:41,080 Speaker 2: And somehow it actually worked. We were awake and it 33 00:01:41,120 --> 00:01:45,000 Speaker 2: actually changed the energy in our home. Unfortunately, years later 34 00:01:45,319 --> 00:01:47,760 Speaker 2: my family moved to the US for the better future, 35 00:01:47,840 --> 00:01:52,000 Speaker 2: and no longer long after, we fortunately lost her mom. 36 00:01:52,520 --> 00:01:56,440 Speaker 2: Then life pulled us to different directions across many different 37 00:01:56,480 --> 00:02:00,120 Speaker 2: cities and countries. I believe in Argentina at Panama, the 38 00:02:00,200 --> 00:02:04,400 Speaker 2: c was difficult times, but with my brothers and dad 39 00:02:04,760 --> 00:02:06,440 Speaker 2: we noticed something really magical. 40 00:02:06,640 --> 00:02:08,400 Speaker 3: After a few calls a. 41 00:02:08,320 --> 00:02:12,600 Speaker 2: Few years later and they said, every time she's one 42 00:02:12,639 --> 00:02:16,600 Speaker 2: of us, said arriva gordasonez. It instantly brought us back together, 43 00:02:17,120 --> 00:02:19,639 Speaker 2: no matter the distance, it just made us feel prot 44 00:02:19,680 --> 00:02:23,239 Speaker 2: connected not only to her but also to each other, 45 00:02:23,440 --> 00:02:26,239 Speaker 2: and later it actually became a source of strength for us. 46 00:02:26,880 --> 00:02:32,440 Speaker 2: And many years later, I was building many apps around 47 00:02:32,480 --> 00:02:36,519 Speaker 2: twenty twenty three for social impact, and that's when it 48 00:02:36,600 --> 00:02:40,280 Speaker 2: hit me. Every family has phrases and moments and stories 49 00:02:40,320 --> 00:02:43,920 Speaker 2: like this, and too many disappeared too soon. So for example, 50 00:02:43,960 --> 00:02:47,679 Speaker 2: Grandpa and grandma, they have limited time to be able 51 00:02:47,720 --> 00:02:49,840 Speaker 2: to tell stories that are going to connect the next generation. 52 00:02:50,040 --> 00:02:53,120 Speaker 2: So we built story fits to preserve the stories that 53 00:02:53,200 --> 00:02:56,799 Speaker 2: matter and turn them into something physically that you can 54 00:02:56,880 --> 00:02:59,040 Speaker 2: hold and pass down through generations. 55 00:02:59,280 --> 00:03:02,240 Speaker 1: How did you and your co founder meet? I hear 56 00:03:02,280 --> 00:03:04,120 Speaker 1: it was kind of a chance encounter over at the 57 00:03:04,120 --> 00:03:04,560 Speaker 1: Eye Lab. 58 00:03:04,880 --> 00:03:05,079 Speaker 3: Yeah. 59 00:03:05,080 --> 00:03:09,000 Speaker 2: We actually it was actually during a post event of 60 00:03:09,639 --> 00:03:14,760 Speaker 2: the Shark Tak Shark Tank event at Harvard Business School 61 00:03:15,240 --> 00:03:19,240 Speaker 2: where we went to see Kevin o'lerly perform and do 62 00:03:19,440 --> 00:03:23,679 Speaker 2: the Shark Tank event, and most of them, most of 63 00:03:23,680 --> 00:03:26,640 Speaker 2: the people attendant, actually went to different directions after the event, 64 00:03:26,720 --> 00:03:31,200 Speaker 2: but luckily with my cofounder and I, we went straight 65 00:03:31,240 --> 00:03:33,839 Speaker 2: to the Innovation Lab at Harvard and then that's where 66 00:03:33,840 --> 00:03:38,480 Speaker 2: we met at the at the kitchen at the Harvardnovational lab. 67 00:03:38,760 --> 00:03:41,000 Speaker 2: There was a new experiment that I did in twenty 68 00:03:41,000 --> 00:03:44,280 Speaker 2: twenty three where we had this idea of building ten 69 00:03:44,360 --> 00:03:48,040 Speaker 2: AI apps in ten weeks for social impact, and it 70 00:03:48,120 --> 00:03:51,920 Speaker 2: grew from one member to sixty five members across MT 71 00:03:52,040 --> 00:03:56,040 Speaker 2: and Harvard. And then we selected one idea to be 72 00:03:56,080 --> 00:03:59,240 Speaker 2: able to work on it and it aligned with the 73 00:03:59,280 --> 00:04:00,360 Speaker 2: ideas that I have before. 74 00:04:00,800 --> 00:04:03,440 Speaker 3: And then she loved the idea and she had a. 75 00:04:03,440 --> 00:04:07,240 Speaker 2: Design background and also front end background, so we said 76 00:04:07,760 --> 00:04:10,920 Speaker 2: I'll work on the back end and AI and then 77 00:04:10,960 --> 00:04:13,280 Speaker 2: with my background that matched. And then she said, okay, 78 00:04:13,320 --> 00:04:15,240 Speaker 2: I'll work on the design and also have a lot 79 00:04:15,280 --> 00:04:19,360 Speaker 2: of experience in physical products, so it will be perfect 80 00:04:19,360 --> 00:04:21,560 Speaker 2: for the physical books and to put the stories there. 81 00:04:21,880 --> 00:04:24,920 Speaker 2: So we decided to start a startup together. 82 00:04:25,240 --> 00:04:28,279 Speaker 1: Okay, so how does the whole process work? If somebody 83 00:04:28,320 --> 00:04:30,880 Speaker 1: I know that there is the kiosk at the coupe, 84 00:04:30,880 --> 00:04:33,679 Speaker 1: We'll talk about that in a minute, but basically, how 85 00:04:33,720 --> 00:04:36,760 Speaker 1: does your process work for people to tell their stories 86 00:04:36,800 --> 00:04:38,600 Speaker 1: and then come up with this book that they can 87 00:04:38,640 --> 00:04:39,240 Speaker 1: walk away with. 88 00:04:39,480 --> 00:04:41,680 Speaker 2: Yes, So it was a process of a series of 89 00:04:41,760 --> 00:04:44,600 Speaker 2: irrigations that we had to make to improve the product 90 00:04:44,600 --> 00:04:48,599 Speaker 2: to make it super easy. Essentially, if you want to 91 00:04:48,600 --> 00:04:51,440 Speaker 2: preserve a story, you don't have to come prepared. You 92 00:04:51,520 --> 00:04:56,440 Speaker 2: just show up and then talk to a conversational agent 93 00:04:56,520 --> 00:04:59,080 Speaker 2: that we have that's very empathetic, and then just answer 94 00:04:59,200 --> 00:05:02,520 Speaker 2: questions about the particular moments that matter to you. And 95 00:05:02,560 --> 00:05:05,400 Speaker 2: then through a series of questions, it asks you if 96 00:05:05,400 --> 00:05:07,840 Speaker 2: you also would like to have some to up with 97 00:05:08,000 --> 00:05:10,640 Speaker 2: some images in real time from your phone or from 98 00:05:10,720 --> 00:05:14,200 Speaker 2: the camera and then from the like camera, and then 99 00:05:14,839 --> 00:05:18,400 Speaker 2: you see those images there and then in less than 100 00:05:18,520 --> 00:05:20,839 Speaker 2: sixty seconds you can see the first version of the 101 00:05:20,839 --> 00:05:24,000 Speaker 2: full illustrated book and then make your changes at home 102 00:05:24,040 --> 00:05:24,440 Speaker 2: if you like. 103 00:05:24,680 --> 00:05:28,320 Speaker 1: Have people embraced this idea because I know that there's 104 00:05:28,360 --> 00:05:32,800 Speaker 1: a lot of talk about generative AI and the energy 105 00:05:32,839 --> 00:05:35,520 Speaker 1: that it pulls and kind of doesn't always get it 106 00:05:35,600 --> 00:05:38,320 Speaker 1: quite right. Tell me about the roadblocks you might have 107 00:05:38,400 --> 00:05:40,320 Speaker 1: found in getting to where you are today. 108 00:05:40,520 --> 00:05:40,680 Speaker 3: Yeah. 109 00:05:40,680 --> 00:05:45,400 Speaker 2: Absolutely, so, generative generated images with AI is not something 110 00:05:46,000 --> 00:05:50,360 Speaker 2: most people find it meaningful. So we realized this very 111 00:05:50,360 --> 00:05:52,599 Speaker 2: early on. And part of our mention is actually to 112 00:05:52,640 --> 00:05:56,680 Speaker 2: create meaningful services and products, so obviously we had to 113 00:05:56,760 --> 00:06:00,400 Speaker 2: change that completely. So we focus on the core on 114 00:06:00,480 --> 00:06:04,679 Speaker 2: what actually feels good for people, and also the different 115 00:06:05,080 --> 00:06:08,280 Speaker 2: art styles, but not only AI generated but also AI 116 00:06:08,320 --> 00:06:12,360 Speaker 2: assisted and actually human made. So every user that comes 117 00:06:12,440 --> 00:06:14,400 Speaker 2: in to story Fape and tries to illustrate a book 118 00:06:14,880 --> 00:06:18,280 Speaker 2: has the option to ask for illustrations to be created 119 00:06:18,320 --> 00:06:20,919 Speaker 2: by a human artists that we collaborate with, and we 120 00:06:21,000 --> 00:06:24,160 Speaker 2: have a series of many different artists, from artists who 121 00:06:24,200 --> 00:06:28,119 Speaker 2: works at creating the morals at Joe's Pizza here Harvard 122 00:06:28,160 --> 00:06:32,120 Speaker 2: Square to other ones in India and Bangladesh, so we 123 00:06:32,200 --> 00:06:36,239 Speaker 2: work with multiple different human artists to illustrate these pages 124 00:06:36,360 --> 00:06:40,279 Speaker 2: and preserve the story. So it's not only AI generated 125 00:06:40,360 --> 00:06:42,800 Speaker 2: or assisted, it's actually also human made. 126 00:06:42,839 --> 00:06:44,640 Speaker 1: Well that's important too because I think a lot of 127 00:06:44,640 --> 00:06:49,240 Speaker 1: people say that generative AI is oftentimes pulling from artists 128 00:06:49,279 --> 00:06:51,600 Speaker 1: and stealing their work and then using it to create 129 00:06:51,640 --> 00:06:54,000 Speaker 1: something else. So I appreciate the fact that you are 130 00:06:54,080 --> 00:06:57,440 Speaker 1: embracing the art from others and getting them involved to 131 00:06:57,520 --> 00:06:59,040 Speaker 1: create these books for people. 132 00:06:59,360 --> 00:06:59,520 Speaker 3: Yeah. 133 00:06:59,520 --> 00:07:02,000 Speaker 2: Absolutely, it's one of our core principles to be able 134 00:07:02,000 --> 00:07:05,719 Speaker 2: to give back to society and also preserve jobs. So 135 00:07:05,760 --> 00:07:10,080 Speaker 2: we actually are enabling this new market of stories to 136 00:07:10,120 --> 00:07:13,480 Speaker 2: be made at a pretty affordable price and then hiring 137 00:07:13,880 --> 00:07:17,760 Speaker 2: artists human artists to actually get paid to be able 138 00:07:17,800 --> 00:07:21,880 Speaker 2: to work on these meaningful stories, so they get paid 139 00:07:22,160 --> 00:07:25,720 Speaker 2: their rates as they ask us, and then we don't 140 00:07:25,720 --> 00:07:28,720 Speaker 2: collect anything extra or anything like that. So we're in 141 00:07:28,720 --> 00:07:29,560 Speaker 2: the middle well and. 142 00:07:29,600 --> 00:07:31,400 Speaker 1: Being the news person I am, I have to ask, 143 00:07:31,440 --> 00:07:33,960 Speaker 1: you know, what happens with people's data and stories? Are 144 00:07:33,960 --> 00:07:37,160 Speaker 1: they used to train other you know, language models? Where 145 00:07:37,160 --> 00:07:39,120 Speaker 1: does the data go and where do these stories go 146 00:07:39,240 --> 00:07:41,920 Speaker 1: once people input them essentially into your model? 147 00:07:42,200 --> 00:07:44,480 Speaker 2: Yeah, that's a great question. We don't use this for 148 00:07:44,600 --> 00:07:50,119 Speaker 2: training our models at any point. These are private. These 149 00:07:50,120 --> 00:07:55,000 Speaker 2: are stories that they only belong to the user. And 150 00:07:55,280 --> 00:08:00,280 Speaker 2: sometimes we can hold for promotional purposes, just like small 151 00:08:00,280 --> 00:08:04,320 Speaker 2: frame or small frame of an image and those things. 152 00:08:04,360 --> 00:08:07,720 Speaker 2: But the core, we don't use it for training or 153 00:08:07,720 --> 00:08:11,800 Speaker 2: anything like that. And also we want to maintain this 154 00:08:12,320 --> 00:08:18,200 Speaker 2: as public private libraries for the future, for better individual 155 00:08:18,200 --> 00:08:20,880 Speaker 2: libraries for users, So we definitely don't want to make 156 00:08:20,920 --> 00:08:23,920 Speaker 2: them public or anything like that, and we believe that 157 00:08:23,920 --> 00:08:25,880 Speaker 2: that's really really important for humanity. 158 00:08:26,000 --> 00:08:29,280 Speaker 1: People don't have to bring a photo or anything like 159 00:08:29,320 --> 00:08:31,440 Speaker 1: that to the kiosk. You can just walk up and 160 00:08:31,600 --> 00:08:35,400 Speaker 1: start telling the stories. But then how does the technology 161 00:08:35,600 --> 00:08:40,120 Speaker 1: know to better replicate your relative or your loved one 162 00:08:40,200 --> 00:08:42,320 Speaker 1: or whomever it is you're talking about. How does that 163 00:08:42,360 --> 00:08:42,839 Speaker 1: all work? 164 00:08:43,080 --> 00:08:44,120 Speaker 3: Oh yeah, it's a great question. 165 00:08:44,559 --> 00:08:49,400 Speaker 2: So you can really if it depends on the levolve 166 00:08:49,440 --> 00:08:51,959 Speaker 2: accuracy that you will, Like you can just describe the 167 00:08:52,880 --> 00:08:57,440 Speaker 2: physical look of the characters, or you can just can 168 00:08:57,559 --> 00:09:01,319 Speaker 2: a QR code of the of in the station, and 169 00:09:01,400 --> 00:09:05,480 Speaker 2: then you can pull up a picture from your photolibrary 170 00:09:05,720 --> 00:09:09,199 Speaker 2: on your phone to share and then instantly it just 171 00:09:09,440 --> 00:09:12,680 Speaker 2: uploads that to the station without any connectivity of wires 172 00:09:12,760 --> 00:09:16,160 Speaker 2: or anything like that, and then we can the station 173 00:09:16,320 --> 00:09:19,440 Speaker 2: can create the story in less than sixty seconds, including 174 00:09:19,480 --> 00:09:20,080 Speaker 2: those characters. 175 00:09:20,400 --> 00:09:22,880 Speaker 1: Sure, it's you know, essentially seems to be the next 176 00:09:23,000 --> 00:09:25,520 Speaker 1: great version of the photo album, which I don't know 177 00:09:25,559 --> 00:09:27,520 Speaker 1: how old you are, but back in Marjor we had 178 00:09:27,559 --> 00:09:31,240 Speaker 1: photo albums all over the house and there's nothing quite like. 179 00:09:31,320 --> 00:09:33,439 Speaker 1: You know, you can have digital photos, and you know, 180 00:09:33,520 --> 00:09:35,800 Speaker 1: you can have the digital photo frames, but there really 181 00:09:35,880 --> 00:09:39,160 Speaker 1: is nothing quite like holding that photo or that picture 182 00:09:39,200 --> 00:09:41,840 Speaker 1: of your loved one and really being able to connect 183 00:09:41,880 --> 00:09:42,760 Speaker 1: in that physical way. 184 00:09:43,360 --> 00:09:46,120 Speaker 2: Yeah, it's something that you know, we live in a 185 00:09:46,200 --> 00:09:48,959 Speaker 2: world of digital things that try to grab our rotation 186 00:09:49,120 --> 00:09:52,599 Speaker 2: all the time. And holding something physical the matters to you, 187 00:09:52,720 --> 00:09:55,520 Speaker 2: that was built by somebody you love and also is 188 00:09:55,520 --> 00:09:57,160 Speaker 2: going to be passed down to our generations. 189 00:09:57,600 --> 00:09:59,400 Speaker 3: We believe it's one of the most important things to 190 00:09:59,440 --> 00:10:00,000 Speaker 3: be building up. 191 00:10:00,440 --> 00:10:02,360 Speaker 1: So then how did you get connected with the COUP. 192 00:10:02,400 --> 00:10:04,840 Speaker 1: I mean, obviously you both have the Harvard connection there, 193 00:10:05,160 --> 00:10:07,000 Speaker 1: but how did you get the idea to put this 194 00:10:07,120 --> 00:10:10,439 Speaker 1: story station in the coop and what was that process like? 195 00:10:10,800 --> 00:10:16,080 Speaker 2: Well, we fortunately, through destiny or good luck or preparation, 196 00:10:16,600 --> 00:10:21,240 Speaker 2: we met really amazing people throughout the way, from our 197 00:10:21,280 --> 00:10:23,880 Speaker 2: advisors at the A Lab who really connected us to 198 00:10:25,000 --> 00:10:29,760 Speaker 2: the people who are looking for innovating solutions at retailer 199 00:10:29,880 --> 00:10:33,800 Speaker 2: space like the COUP. One of our advisors was Pedit Glasten, 200 00:10:33,840 --> 00:10:37,839 Speaker 2: who's amazing, and he connected us along with others, to 201 00:10:38,400 --> 00:10:43,400 Speaker 2: other companies around the world around the area, and many 202 00:10:43,440 --> 00:10:46,440 Speaker 2: of them actually were looking for consumer products, and we're 203 00:10:46,440 --> 00:10:49,000 Speaker 2: actually one of the few consumer products that actually is 204 00:10:49,040 --> 00:10:52,559 Speaker 2: innovating around the world. There's not too many. Most of 205 00:10:52,640 --> 00:10:57,720 Speaker 2: them are actually you know, helping businesses and or from 206 00:10:57,800 --> 00:11:01,400 Speaker 2: our cohort. And then we realized, you know, this was 207 00:11:01,679 --> 00:11:06,000 Speaker 2: a great place to have it. And the management that 208 00:11:06,080 --> 00:11:09,520 Speaker 2: the COUP loved. It is an amazing process to work 209 00:11:09,600 --> 00:11:12,319 Speaker 2: with them and still working with them, and we just 210 00:11:12,520 --> 00:11:14,640 Speaker 2: can't wait to work together more. 211 00:11:14,880 --> 00:11:18,360 Speaker 1: You both came from Harvard, you have great connections, you 212 00:11:18,480 --> 00:11:21,360 Speaker 1: have great communities that help to get you to where 213 00:11:21,360 --> 00:11:23,680 Speaker 1: you are with story Fave. Tell us a little bit 214 00:11:23,720 --> 00:11:25,280 Speaker 1: about some of those people in your circle. 215 00:11:26,080 --> 00:11:29,360 Speaker 2: Sure, we actually got a lot of mentorship from amazing 216 00:11:29,400 --> 00:11:35,560 Speaker 2: advisors here in the Harvardnovation Lab, for example, Peter Gladstone especially, 217 00:11:35,640 --> 00:11:39,719 Speaker 2: and also other advisors that really helped us out like 218 00:11:40,640 --> 00:11:44,920 Speaker 2: Chris and Kathlin. They have been amazing to us, and 219 00:11:45,040 --> 00:11:48,520 Speaker 2: also Journey of course and Adrian from the Coup they 220 00:11:48,559 --> 00:11:51,440 Speaker 2: have been a pleasure to work with. And many many 221 00:11:51,520 --> 00:11:56,839 Speaker 2: more including some of our interns like like Yushu and 222 00:11:57,080 --> 00:12:01,200 Speaker 2: also other people as well. So we we have loved 223 00:12:01,240 --> 00:12:04,520 Speaker 2: the whole process and we can't wait to work with 224 00:12:04,640 --> 00:12:04,959 Speaker 2: them more. 225 00:12:05,320 --> 00:12:08,079 Speaker 1: How many of these books have you generated? What is 226 00:12:08,200 --> 00:12:10,600 Speaker 1: coming up next for you when it comes to this platform? 227 00:12:10,880 --> 00:12:11,040 Speaker 3: Yeah? 228 00:12:11,080 --> 00:12:15,319 Speaker 2: Sure, So we actually got about three thousand interactions so 229 00:12:15,400 --> 00:12:18,079 Speaker 2: far in the last three months, oh wow, And we 230 00:12:18,240 --> 00:12:21,800 Speaker 2: got about a thousand books being created, and then more 231 00:12:22,800 --> 00:12:27,160 Speaker 2: are being created from the accounts that are being started 232 00:12:27,480 --> 00:12:30,720 Speaker 2: from the coup from regular users. So the only place 233 00:12:30,760 --> 00:12:34,160 Speaker 2: where people can actually create an account is actually at 234 00:12:34,160 --> 00:12:36,800 Speaker 2: the Harvard coup store in person. You cannot get an 235 00:12:36,800 --> 00:12:41,480 Speaker 2: account anywhere else and throughout that without any marketing or 236 00:12:41,480 --> 00:12:44,240 Speaker 2: anything like that. That's This are some of the numbers 237 00:12:44,280 --> 00:12:44,920 Speaker 2: that we've seen. 238 00:12:44,760 --> 00:12:46,800 Speaker 1: So far, and that's impressive. I mean, it helps that 239 00:12:46,920 --> 00:12:50,000 Speaker 1: Harvard Square is really popular. A lot of people from 240 00:12:50,080 --> 00:12:52,360 Speaker 1: all over the world come and they come to the 241 00:12:52,440 --> 00:12:54,719 Speaker 1: coup to see, you know, get the Harvard experience, so 242 00:12:54,880 --> 00:12:57,440 Speaker 1: to speak. But I almost feel like that is opening 243 00:12:57,480 --> 00:12:59,400 Speaker 1: you up to so many different stories that if you 244 00:12:59,400 --> 00:13:02,400 Speaker 1: would set up any other random business you may not 245 00:13:02,559 --> 00:13:03,520 Speaker 1: have been able to access. 246 00:13:04,120 --> 00:13:04,280 Speaker 3: Yeah. 247 00:13:04,280 --> 00:13:10,280 Speaker 2: Absolutely, it's been incredibly helpful. We haven't actually promoted too much, 248 00:13:10,760 --> 00:13:12,880 Speaker 2: I mean at all, any advertising or anything like that. 249 00:13:14,280 --> 00:13:17,800 Speaker 2: We really want to just keep it for now, very 250 00:13:17,880 --> 00:13:22,440 Speaker 2: very meaningful. But yeah, we've been getting request from other 251 00:13:22,840 --> 00:13:28,160 Speaker 2: locations around the area, but for now, we're here and 252 00:13:28,600 --> 00:13:32,000 Speaker 2: things are growing really fast. Actually, we get some companies 253 00:13:32,000 --> 00:13:35,719 Speaker 2: that are really they would love to have a station. 254 00:13:35,600 --> 00:13:38,480 Speaker 1: There if somebody wants to get involved, they want to 255 00:13:38,559 --> 00:13:40,880 Speaker 1: make a book, or they want to you know, connect 256 00:13:40,960 --> 00:13:43,800 Speaker 1: with you about this technology. How can they find you. 257 00:13:44,400 --> 00:13:48,679 Speaker 2: Yeah, So to create a book, there is a station 258 00:13:48,920 --> 00:13:53,120 Speaker 2: on the second floor of the Power Coup and you 259 00:13:53,200 --> 00:13:56,199 Speaker 2: don't really have to come prepared, just any idea. In 260 00:13:56,679 --> 00:13:59,040 Speaker 2: sixty seconds you should be able to create a digital 261 00:13:59,120 --> 00:14:02,200 Speaker 2: copy of the first verse of the book. And then 262 00:14:03,559 --> 00:14:07,400 Speaker 2: for we've been also being contected by organizations who want 263 00:14:07,520 --> 00:14:09,720 Speaker 2: to share the same mission about creating something mini point 264 00:14:09,760 --> 00:14:13,839 Speaker 2: backfo for the world, and they would like to also 265 00:14:14,920 --> 00:14:18,480 Speaker 2: great stories about their company history as well. So if 266 00:14:18,520 --> 00:14:23,480 Speaker 2: you're a company or organization who is interested in preserving 267 00:14:23,840 --> 00:14:27,240 Speaker 2: and archiving the story of your company organization, we can 268 00:14:27,520 --> 00:14:30,320 Speaker 2: help you as well. And you have to get involved 269 00:14:30,360 --> 00:14:32,640 Speaker 2: as an engineer as well. The only thing to do 270 00:14:32,800 --> 00:14:36,480 Speaker 2: is to get contact to us. To be credited to 271 00:14:36,560 --> 00:14:39,520 Speaker 2: us is just run an email to admin or hello 272 00:14:40,280 --> 00:14:44,760 Speaker 2: at storyfaith dot com. It would be as simple as 273 00:14:44,800 --> 00:14:50,040 Speaker 2: that story fave Fath spelled fa ve dot com. 274 00:14:50,200 --> 00:14:52,680 Speaker 1: All right, Well, Brian, this is really interesting stuff. Thank 275 00:14:52,720 --> 00:14:54,600 Speaker 1: you so much for the time, and I hope the 276 00:14:54,680 --> 00:14:55,920 Speaker 1: project continues to fly. 277 00:14:56,320 --> 00:14:56,920 Speaker 3: Thank you so much. 278 00:14:58,000 --> 00:15:00,280 Speaker 1: Be sure to bundle up, stay safe and w Darman 279 00:15:00,360 --> 00:15:02,960 Speaker 1: healthy and join us again next week for another edition 280 00:15:03,080 --> 00:15:06,440 Speaker 1: of the show. I'm Nicole Davis from WBZ news Radio 281 00:15:06,640 --> 00:15:07,600 Speaker 1: on iHeartRadio