1 00:00:00,000 --> 00:00:02,660 Hello, welcome to the careers4kids podcast 2 00:00:02,660 --> 00:00:05,600 where kids learn careers. 3 00:00:05,600 --> 00:00:07,740 This is Maxwell Valencia. 4 00:00:07,740 --> 00:00:09,040 And this is Henry Morrison. 5 00:00:09,040 --> 00:00:12,000 And today we have Angela Mascarenas, 6 00:00:12,000 --> 00:00:15,780 an AI engineer who will started an AI furnace and vocal AI. 7 00:00:15,780 --> 00:00:17,440 Hello, Ms. Mascarenas. 8 00:00:17,440 --> 00:00:18,760 Thank you for spending your time 9 00:00:18,760 --> 00:00:20,640 to be on careers for kids. 10 00:00:20,640 --> 00:00:23,480 We have a great interview now let's get started. 11 00:00:25,920 --> 00:00:28,800 Thanks so much Henry and Maxwell for having me. 12 00:00:28,800 --> 00:00:31,640 So excited to share more about my journey today. 13 00:00:32,520 --> 00:00:36,560 Yeah, we're excited as well just to have you here. 14 00:00:36,560 --> 00:00:38,520 So Maxwell is gonna start us off. 15 00:00:38,520 --> 00:00:40,720 Tell us what you're currently doing now. 16 00:00:41,920 --> 00:00:45,200 Sure, so my name is Angela Mascarenas. 17 00:00:45,200 --> 00:00:47,520 I am one of the founders of Vocal AI, 18 00:00:47,520 --> 00:00:52,040 a deep fake detection company focused on identifying deep fakes 19 00:00:52,040 --> 00:00:55,600 on behalf of enterprises for fraud purposes. 20 00:00:55,600 --> 00:00:59,180 Nice. And so it's a brand new AI company 21 00:00:59,180 --> 00:01:02,980 focused on new problems related to generative AI. 22 00:01:02,980 --> 00:01:05,900 And then I also co-founded the AI furnace, 23 00:01:05,900 --> 00:01:09,700 which is one of the fastest growing AI founder 24 00:01:09,700 --> 00:01:11,620 and operator communities in the world. 25 00:01:11,620 --> 00:01:14,460 Oh wow. Yeah, really amazing. 26 00:01:14,460 --> 00:01:17,900 Yeah, I mean, it is definitely a very set after job nowadays. 27 00:01:17,900 --> 00:01:19,300 Yeah. This is gonna be 28 00:01:19,300 --> 00:01:21,420 really cool thing for a podcast. 29 00:01:21,420 --> 00:01:22,820 Yeah. Yeah, definitely. 30 00:01:22,820 --> 00:01:24,980 I think the space is rapidly moving 31 00:01:24,980 --> 00:01:26,740 and I know even as kids, 32 00:01:26,740 --> 00:01:28,380 like you guys are interacting with it, 33 00:01:28,380 --> 00:01:32,180 whether it's like chat GPT or some new tools 34 00:01:32,180 --> 00:01:33,140 that are coming out. 35 00:01:33,140 --> 00:01:34,500 Mm-hmm. Yeah. 36 00:01:34,500 --> 00:01:36,100 We're both pretty interested in AI. 37 00:01:36,100 --> 00:01:38,340 Yeah, especially I'm really interested 38 00:01:38,340 --> 00:01:40,100 in like technical engineering stuff, 39 00:01:40,100 --> 00:01:42,900 not necessarily like AI, more like hardware stuff, 40 00:01:42,900 --> 00:01:45,620 but you know, a lot of that gets like integrated 41 00:01:45,620 --> 00:01:47,380 and intertwined with that. 42 00:01:47,380 --> 00:01:49,580 And it's just kind of really, I don't know, 43 00:01:49,580 --> 00:01:50,660 I find it really cool. 44 00:01:50,660 --> 00:01:51,500 Yeah. 45 00:01:51,500 --> 00:01:52,900 That's so cool. 46 00:01:52,900 --> 00:01:56,460 Have you guys like tried any cool AI tools 47 00:01:56,460 --> 00:01:57,300 that are out there? 48 00:01:57,300 --> 00:01:58,140 Mm-hmm. 49 00:01:58,140 --> 00:02:00,580 I've used chat, well, I've used chat GPT, 50 00:02:00,580 --> 00:02:03,540 but I've also, Microsoft recently released this thing 51 00:02:03,540 --> 00:02:06,100 called Co-Pilot, so I've been using that 52 00:02:06,100 --> 00:02:08,260 and having a little bit of fun with it, 53 00:02:08,260 --> 00:02:10,500 generating images and stuff. 54 00:02:10,500 --> 00:02:12,780 I've been using like the Google thing. 55 00:02:12,780 --> 00:02:14,540 It used to be called bar and now it's like 56 00:02:14,540 --> 00:02:16,340 called Gemini or something. 57 00:02:17,440 --> 00:02:19,620 Wow, you guys are light seats ahead. 58 00:02:19,620 --> 00:02:20,980 That's amazing. 59 00:02:20,980 --> 00:02:22,220 Thanks. 60 00:02:22,220 --> 00:02:25,460 We really like technology, both of us. 61 00:02:25,460 --> 00:02:27,740 Yeah, I'm proud of you. 62 00:02:27,740 --> 00:02:30,100 So, yeah. 63 00:02:30,100 --> 00:02:31,900 But tell me more about your career 64 00:02:31,900 --> 00:02:34,220 and how you got to this position. 65 00:02:34,220 --> 00:02:38,820 Sure, so I originally came from New York City. 66 00:02:38,820 --> 00:02:43,580 I went to school at an engineering school called RPI 67 00:02:43,580 --> 00:02:45,140 or Rentalator Polytechnic Institute. 68 00:02:45,140 --> 00:02:46,500 Oh, that's where I wanna go. 69 00:02:46,500 --> 00:02:47,340 Yeah. 70 00:02:47,340 --> 00:02:48,160 Oh, really? 71 00:02:48,160 --> 00:02:49,000 Yeah. 72 00:02:49,000 --> 00:02:49,840 That's amazing. 73 00:02:49,840 --> 00:02:52,480 Yeah, so I went to school there. 74 00:02:52,480 --> 00:02:55,480 I studied business for my undergraduate 75 00:02:55,480 --> 00:02:58,600 and then I did my master's in financial engineering 76 00:02:58,600 --> 00:03:03,200 and quantitative analytics, which is around data science 77 00:03:03,200 --> 00:03:05,800 and also like programming mixed with math 78 00:03:05,800 --> 00:03:07,000 for my major. 79 00:03:07,000 --> 00:03:09,840 Yeah, I'm learning boolean algebra currently. 80 00:03:09,840 --> 00:03:10,920 Yes. 81 00:03:10,920 --> 00:03:11,740 I'm just learning. 82 00:03:11,740 --> 00:03:12,580 Oh, wow. 83 00:03:13,680 --> 00:03:14,840 That's so impressive. 84 00:03:14,840 --> 00:03:18,600 Yeah, so I started my career kind of in that space 85 00:03:18,600 --> 00:03:20,520 and then from there, I actually worked 86 00:03:21,480 --> 00:03:24,320 on building out digital products for enterprise. 87 00:03:24,320 --> 00:03:27,800 So I worked on multiple mobile apps 88 00:03:27,800 --> 00:03:29,440 that you guys might've interacted with, 89 00:03:29,440 --> 00:03:33,360 but I first worked on the Girl Scouts mobile app 90 00:03:33,360 --> 00:03:36,840 and e-commerce site, helping to bring the cookie program 91 00:03:36,840 --> 00:03:38,200 online for the first time. 92 00:03:38,200 --> 00:03:43,200 And so I built that out as a product manager and engineer 93 00:03:44,480 --> 00:03:46,280 and then also scaled it nationwide 94 00:03:46,280 --> 00:03:48,120 and then also worked on a number of apps 95 00:03:48,120 --> 00:03:53,120 within mobile apps within FinTech, including chase.com, 96 00:03:53,280 --> 00:03:56,560 the Chase mobile app, digital wallets. 97 00:03:56,560 --> 00:03:58,040 Do you guys have a digital wallet? 98 00:03:58,040 --> 00:03:59,560 Do you know what that is? 99 00:03:59,560 --> 00:04:02,320 I mean, I do for like movie tickets and stuff sometimes, 100 00:04:02,320 --> 00:04:03,560 but yeah. 101 00:04:03,560 --> 00:04:04,960 Yeah, exactly, exactly. 102 00:04:04,960 --> 00:04:07,000 So I worked on digital wallet. 103 00:04:07,000 --> 00:04:11,680 I worked on banking for Gen Z and millennials. 104 00:04:11,680 --> 00:04:16,240 And then my last company was focused on educating teens 105 00:04:16,240 --> 00:04:20,840 about Web3 and then also participating in buying 106 00:04:20,840 --> 00:04:25,720 and selling cryptocurrencies through a custodial account 107 00:04:25,720 --> 00:04:29,240 between teenagers and their parents. 108 00:04:31,840 --> 00:04:35,440 I've spent the past year in AI, 109 00:04:35,440 --> 00:04:37,320 working on building out deep fake detection. 110 00:04:37,320 --> 00:04:38,160 And then as I mentioned, 111 00:04:38,160 --> 00:04:41,960 I run this community of AI founders and operators, 112 00:04:41,960 --> 00:04:46,000 and we're currently 12,000 members across New York, 113 00:04:46,000 --> 00:04:48,080 London, Dubai, and Boston. 114 00:04:50,240 --> 00:04:52,520 That's really cool. 115 00:04:52,520 --> 00:04:54,760 So, Max, I'll ask another question. 116 00:04:54,760 --> 00:04:55,600 Sure. 117 00:04:55,600 --> 00:04:56,440 What part of your job? 118 00:04:58,520 --> 00:04:59,360 What? 119 00:04:59,360 --> 00:05:00,200 Sorry. 120 00:05:01,080 --> 00:05:02,920 I'm just laughing. 121 00:05:02,920 --> 00:05:04,720 This podcast is so fun. 122 00:05:04,720 --> 00:05:06,480 Oh yeah, I'll do question number three. 123 00:05:06,480 --> 00:05:07,320 Okay, okay. 124 00:05:07,320 --> 00:05:09,200 What part of your job do you enjoy the most 125 00:05:09,200 --> 00:05:10,240 and dislike the most? 126 00:05:10,240 --> 00:05:11,680 Sorry for the laughing. 127 00:05:11,680 --> 00:05:13,280 No, no problem. 128 00:05:13,280 --> 00:05:17,160 The thing that I like the most is that I'm meeting 129 00:05:17,160 --> 00:05:21,800 really, really talented AI researchers and engineers 130 00:05:21,800 --> 00:05:23,080 around the world right now. 131 00:05:23,080 --> 00:05:25,080 And so that's really cool. 132 00:05:25,080 --> 00:05:29,560 And so I've been meeting AI engineers coming out of MIT, 133 00:05:29,560 --> 00:05:32,800 Harvard, Oxford, Imperial, 134 00:05:32,800 --> 00:05:36,120 and kind of learning about all the amazing innovations 135 00:05:36,120 --> 00:05:38,920 happening within technology right now. 136 00:05:38,920 --> 00:05:41,480 And so that's the thing I like the most. 137 00:05:41,480 --> 00:05:42,320 I like that. 138 00:05:42,320 --> 00:05:44,120 And things that I dislike, 139 00:05:47,160 --> 00:05:51,360 hmm, while I like meeting some of the people, 140 00:05:51,360 --> 00:05:55,800 some of the aspects of event planning 141 00:05:55,800 --> 00:05:57,640 sometimes are a little bit manual 142 00:05:57,640 --> 00:05:59,640 and I would love to see more automation 143 00:05:59,640 --> 00:06:02,120 and more innovation happen in that space 144 00:06:02,120 --> 00:06:05,280 so that you don't have to put as much work. 145 00:06:05,280 --> 00:06:06,120 Yeah. 146 00:06:06,120 --> 00:06:06,940 Yeah. 147 00:06:06,940 --> 00:06:09,760 So was this the dream job you imagine yourself doing 148 00:06:09,760 --> 00:06:10,600 as a kid? 149 00:06:10,600 --> 00:06:11,440 Yeah. 150 00:06:11,440 --> 00:06:13,000 Oh no, not at all. 151 00:06:13,800 --> 00:06:14,640 Yeah. 152 00:06:14,640 --> 00:06:16,360 Obviously there wasn't much, 153 00:06:17,400 --> 00:06:19,040 I mean, you really, I mean, 154 00:06:19,040 --> 00:06:21,680 I have no idea how old you are, but like, 155 00:06:21,680 --> 00:06:22,520 Yeah. 156 00:06:22,520 --> 00:06:26,480 You know, I know until recently AI didn't become 157 00:06:26,480 --> 00:06:28,960 super mainstream and then recently. 158 00:06:28,960 --> 00:06:30,480 Like five years ago, I think. 159 00:06:30,480 --> 00:06:33,760 Yeah, well, do you guys take coding classes right now? 160 00:06:33,760 --> 00:06:36,480 I took a little before. 161 00:06:36,480 --> 00:06:38,480 I kind of taught myself. 162 00:06:38,480 --> 00:06:41,360 I know basic HTML and basic Python. 163 00:06:41,360 --> 00:06:44,000 Actually, I know advanced HTML and CSS. 164 00:06:44,000 --> 00:06:47,520 I know some C++ and some Python as well as a little HTML, 165 00:06:47,520 --> 00:06:48,360 but I don't know. 166 00:06:48,360 --> 00:06:51,320 Oh wow, what age did you guys start coding? 167 00:06:51,320 --> 00:06:56,120 I started, I just got interested in the topic of stuff 168 00:06:56,120 --> 00:06:59,440 when I was like probably at 10 or nine or 10 or something. 169 00:06:59,440 --> 00:07:00,720 Yeah, me too around that. 170 00:07:00,720 --> 00:07:03,280 I started getting interested in technology and like, 171 00:07:04,360 --> 00:07:05,800 Yeah, it's been more recently. 172 00:07:05,800 --> 00:07:07,640 I've definitely been more interested 173 00:07:07,640 --> 00:07:09,400 in like the hardware side of things. 174 00:07:09,400 --> 00:07:10,240 Yeah. 175 00:07:10,240 --> 00:07:11,060 That's amazing. 176 00:07:11,060 --> 00:07:13,400 So yeah, I mean, when, 177 00:07:13,400 --> 00:07:17,040 I actually didn't start coding classes like till probably, 178 00:07:17,040 --> 00:07:19,840 till probably high school, but when I was a kid, 179 00:07:19,840 --> 00:07:24,000 I kind of thought I would either end up as a teacher 180 00:07:24,000 --> 00:07:27,560 or as a wedding planner. 181 00:07:27,560 --> 00:07:28,880 Yeah. 182 00:07:28,880 --> 00:07:31,000 And neither of them really involved technology. 183 00:07:31,000 --> 00:07:33,220 And then I fell into technology, 184 00:07:34,920 --> 00:07:38,520 after going to school and then fell into like 185 00:07:38,520 --> 00:07:41,840 the most innovative areas of technology 186 00:07:42,800 --> 00:07:45,240 through my career in consulting. 187 00:07:45,240 --> 00:07:46,160 Wow. 188 00:07:46,160 --> 00:07:47,920 In my Maxwell, what's your dream? 189 00:07:47,920 --> 00:07:48,760 What's your job? 190 00:07:48,760 --> 00:07:49,600 What do you want to be? 191 00:07:49,600 --> 00:07:50,680 I really want to be like, 192 00:07:50,680 --> 00:07:52,920 I'm like a rich businessman when I go to classes. 193 00:07:52,920 --> 00:07:53,760 Interesting advice. 194 00:07:53,760 --> 00:07:55,200 How will you get that money? 195 00:07:55,200 --> 00:07:56,760 How I get that money? 196 00:07:56,760 --> 00:07:58,960 What I'm going to do is I'm going to invest it. 197 00:07:58,960 --> 00:08:01,200 I'm not sure that's a great idea. 198 00:08:01,200 --> 00:08:02,920 That's a great idea. 199 00:08:02,920 --> 00:08:05,680 Like I invested in AI, did you know that? 200 00:08:05,680 --> 00:08:07,400 What company? 201 00:08:07,400 --> 00:08:11,680 Nvidia, it gained like at least 600% in a year. 202 00:08:11,680 --> 00:08:12,760 Wow. 203 00:08:12,760 --> 00:08:13,920 That's amazing. 204 00:08:13,920 --> 00:08:14,760 Yeah. 205 00:08:14,760 --> 00:08:17,800 I just want to be like a good like hardware engineer 206 00:08:17,800 --> 00:08:21,200 and like, you know, computers and stuff like that. 207 00:08:21,200 --> 00:08:22,400 Maxwell's another question. 208 00:08:22,400 --> 00:08:23,240 Yeah. 209 00:08:23,240 --> 00:08:25,080 Who were your main idols when you were young? 210 00:08:26,160 --> 00:08:27,000 Yeah. 211 00:08:27,000 --> 00:08:28,120 My main idols. 212 00:08:30,440 --> 00:08:32,560 Doesn't even have to be like your current job. 213 00:08:32,560 --> 00:08:33,400 Yeah. 214 00:08:33,400 --> 00:08:34,720 Just like an idol from when you were a child. 215 00:08:34,720 --> 00:08:35,560 Yeah. 216 00:08:35,560 --> 00:08:36,760 Yeah. 217 00:08:36,760 --> 00:08:39,560 I mean, I always really liked the entrepreneur, 218 00:08:39,560 --> 00:08:41,520 Richard Branson. 219 00:08:41,520 --> 00:08:44,920 And I just really liked the way that, you know, 220 00:08:44,920 --> 00:08:46,680 whenever he does a new venture, 221 00:08:46,680 --> 00:08:48,600 he thinks about doing it in a fun way. 222 00:08:48,600 --> 00:08:49,800 And I really liked that. 223 00:08:50,920 --> 00:08:54,720 He's always, you know, kind of doing things that are from, 224 00:08:56,720 --> 00:08:59,760 like vacationing for fun or like creating an airline 225 00:08:59,760 --> 00:09:02,480 and creating more fun environment. 226 00:09:02,480 --> 00:09:05,520 But I've always really looked up to him 227 00:09:05,520 --> 00:09:10,520 and then also my own dad who, who was a CTO. 228 00:09:10,960 --> 00:09:11,800 Wow. 229 00:09:11,800 --> 00:09:12,640 That's interesting. 230 00:09:12,640 --> 00:09:16,600 That's, I don't really know much about like business. 231 00:09:16,600 --> 00:09:17,960 I mean, I know a decent bit, 232 00:09:17,960 --> 00:09:19,800 but Maxwell's really the person that, 233 00:09:19,800 --> 00:09:21,680 especially just even in our company, 234 00:09:21,680 --> 00:09:23,480 he knows a lot of that stuff. 235 00:09:23,480 --> 00:09:24,320 Yeah. 236 00:09:24,320 --> 00:09:25,720 But onto the next question. 237 00:09:25,720 --> 00:09:26,920 Why did you pick this job? 238 00:09:26,920 --> 00:09:29,320 And like, what made you do this? 239 00:09:29,320 --> 00:09:30,160 Yeah. 240 00:09:30,160 --> 00:09:33,320 Did you guys hear about when Gen.AI first came out 241 00:09:33,320 --> 00:09:37,800 that people were using it to create deepfakes songs 242 00:09:37,800 --> 00:09:40,840 for like Drake and like Taylor Swift and stuff like that? 243 00:09:40,840 --> 00:09:42,080 Do you guys hear about that? 244 00:09:42,080 --> 00:09:43,160 Yeah. 245 00:09:43,160 --> 00:09:44,200 It's still going on. 246 00:09:44,200 --> 00:09:47,560 I mean, I saw like the government's trying to do some stuff 247 00:09:47,560 --> 00:09:48,960 to stop it now. 248 00:09:48,960 --> 00:09:50,080 Yeah, exactly. 249 00:09:50,080 --> 00:09:54,200 So we got inspired to work on Vocal.AI 250 00:09:54,200 --> 00:09:58,560 from kind of listening to kind of hearing about 251 00:09:58,560 --> 00:10:02,080 these deepfakes going around on behalf of artists. 252 00:10:02,080 --> 00:10:04,840 And so we started off building our technology 253 00:10:04,840 --> 00:10:08,240 for a music artist use case to help protect, you know, 254 00:10:08,240 --> 00:10:12,960 Drake or Taylor Swift to counter some of like the deepfakes 255 00:10:12,960 --> 00:10:15,680 audio and video that was coming out. 256 00:10:15,680 --> 00:10:19,320 And that's why we decided to start working on this 257 00:10:19,320 --> 00:10:22,080 and build a company in this space. 258 00:10:22,080 --> 00:10:23,760 And then once we started building it, 259 00:10:23,760 --> 00:10:25,920 we realized that there were a lot of use cases 260 00:10:25,920 --> 00:10:28,200 for this type of technology in other sectors. 261 00:10:28,200 --> 00:10:29,040 Whoa. 262 00:10:29,040 --> 00:10:31,440 Yeah, definitely a very innovative area to get into. 263 00:10:31,440 --> 00:10:32,760 I agree. 264 00:10:32,760 --> 00:10:36,760 Yeah, it's a very like R&D type of area. 265 00:10:36,760 --> 00:10:40,760 It's like similar to driverless cars and stuff like that, 266 00:10:40,760 --> 00:10:43,120 where you have to like build a lot of R&D, 267 00:10:43,120 --> 00:10:46,400 AI R&D for it to make progress. 268 00:10:46,400 --> 00:10:47,240 Nice. 269 00:10:47,240 --> 00:10:48,920 Also, what was the biggest highlight 270 00:10:48,920 --> 00:10:50,480 of your entire career? 271 00:10:50,480 --> 00:10:52,720 Like the biggest, like best highlight? 272 00:10:53,680 --> 00:10:56,880 Yeah, one of my favorite highlights actually was working 273 00:10:56,880 --> 00:10:59,360 on that Girl Scouts mobile app. 274 00:10:59,360 --> 00:11:00,640 I was a former Girl Scout. 275 00:11:00,640 --> 00:11:05,440 It was really amazing to like build technology for kids 276 00:11:05,440 --> 00:11:09,360 and working on creating technology that can help kids 277 00:11:10,640 --> 00:11:12,240 be the next generation of leaders. 278 00:11:12,240 --> 00:11:15,920 And so that was one of my favorite like highlights 279 00:11:15,920 --> 00:11:19,760 from my career was kind of giving back to an organization. 280 00:11:19,760 --> 00:11:20,960 I was a Girl Scout. 281 00:11:20,960 --> 00:11:23,000 I don't know what, are you guys like Boy Scouts 282 00:11:23,000 --> 00:11:24,000 or anything like that? 283 00:11:24,000 --> 00:11:24,840 No. 284 00:11:24,840 --> 00:11:25,800 How do you? 285 00:11:25,800 --> 00:11:26,920 Yeah. 286 00:11:26,920 --> 00:11:28,600 What do you think of as a Girl Scout? 287 00:11:28,600 --> 00:11:30,760 Yeah, what kind of clubs are you guys in? 288 00:11:31,720 --> 00:11:33,080 I'm in a lot. 289 00:11:33,080 --> 00:11:34,480 I'm not really in much. 290 00:11:34,480 --> 00:11:36,280 I'm more focused on my own thing. 291 00:11:36,280 --> 00:11:39,440 Yeah, I mean both in the National History Day Competition. 292 00:11:39,440 --> 00:11:44,440 Yeah, we moved on during, like we moved on from regionals. 293 00:11:44,800 --> 00:11:46,000 We're going to states. 294 00:11:46,000 --> 00:11:48,000 Oh wow, that's amazing. 295 00:11:48,000 --> 00:11:48,960 Yes. 296 00:11:48,960 --> 00:11:52,040 For what, is it like a business club? 297 00:11:52,040 --> 00:11:55,920 It's like, so basically, I did a documentary. 298 00:11:55,920 --> 00:11:59,400 Basically you enter something like an entry 299 00:11:59,400 --> 00:12:01,720 on like a turning point in history. 300 00:12:01,720 --> 00:12:04,040 And you got to do a bunch of stuff to like support 301 00:12:04,040 --> 00:12:05,720 that it was a turning point in history, 302 00:12:05,720 --> 00:12:06,840 bunch of information. 303 00:12:06,840 --> 00:12:09,520 I did a documentary, Maxwell did a website. 304 00:12:09,520 --> 00:12:13,000 And well, they were, I guess they were good enough 305 00:12:13,000 --> 00:12:17,360 because we exceeded, like not exceeded, 306 00:12:17,360 --> 00:12:18,520 but we're going to states. 307 00:12:18,520 --> 00:12:19,640 Yay! 308 00:12:19,640 --> 00:12:21,720 Yay, that's amazing. 309 00:12:21,720 --> 00:12:23,520 Thanks so much. 310 00:12:23,520 --> 00:12:25,800 So what are the biggest challenges 311 00:12:25,800 --> 00:12:29,000 that you think can be solved by our generation 312 00:12:29,000 --> 00:12:30,920 that you would want us to solve for you? 313 00:12:32,320 --> 00:12:37,320 Yeah, I'm really interested in seeing more AI 314 00:12:37,720 --> 00:12:39,240 being leveraged for good. 315 00:12:39,240 --> 00:12:41,560 There's a lot of AI that's being leveraged right now 316 00:12:41,560 --> 00:12:45,320 for content generation, for cost cutting. 317 00:12:45,320 --> 00:12:48,360 And so things that I would love to see 318 00:12:48,360 --> 00:12:52,160 your generation work on is creating tech 319 00:12:52,160 --> 00:12:53,800 that's like really good for humanity. 320 00:12:53,800 --> 00:12:58,800 And so that could include things like solving for poverty, 321 00:13:00,280 --> 00:13:05,280 using it to enable access to financial services 322 00:13:06,280 --> 00:13:11,280 for lower income and more inclusive types of communities. 323 00:13:12,200 --> 00:13:15,160 And then even things like, what is it? 324 00:13:15,160 --> 00:13:19,880 Like the environment and helping out with global warming. 325 00:13:19,880 --> 00:13:22,360 I would love to see you guys apply 326 00:13:22,360 --> 00:13:24,240 these new latest technologies in ways 327 00:13:24,240 --> 00:13:26,120 that we're not even thinking about 328 00:13:26,120 --> 00:13:28,040 and make progress in this area. 329 00:13:29,120 --> 00:13:29,960 Yeah. 330 00:13:29,960 --> 00:13:30,800 Yeah, cool. 331 00:13:30,800 --> 00:13:32,760 I mean, I've said this probably a bunch of times 332 00:13:32,760 --> 00:13:35,480 during this, but yeah, definitely a very 333 00:13:35,480 --> 00:13:37,680 innovational area to just go down into. 334 00:13:37,680 --> 00:13:38,520 Yeah. 335 00:13:38,520 --> 00:13:41,080 And I don't know, you have a lot of, 336 00:13:42,600 --> 00:13:46,680 just with like, especially what you're doing 337 00:13:46,680 --> 00:13:49,040 and how large you are and like, 338 00:13:49,040 --> 00:13:51,120 the artificial intelligence area, 339 00:13:51,120 --> 00:13:53,400 you could definitely make a big change for that. 340 00:13:53,400 --> 00:13:54,240 Great. 341 00:13:54,240 --> 00:13:55,480 And change for good. 342 00:13:57,040 --> 00:13:57,880 Yeah, definitely. 343 00:13:59,120 --> 00:14:02,800 And if someone wants to follow in your footsteps 344 00:14:02,800 --> 00:14:05,400 in your careers, what would you tell him or her? 345 00:14:06,440 --> 00:14:09,640 Yeah, I would say, I don't know if you guys have this. 346 00:14:11,040 --> 00:14:12,640 Are you guys in middle school? 347 00:14:12,640 --> 00:14:14,400 Yeah, we're in seventh grade. 348 00:14:14,400 --> 00:14:15,240 Okay, yeah, yeah. 349 00:14:15,240 --> 00:14:17,600 Have you guys heard of hackathons? 350 00:14:17,600 --> 00:14:18,440 No. 351 00:14:18,440 --> 00:14:19,280 No. 352 00:14:20,920 --> 00:14:21,760 I have not. 353 00:14:21,760 --> 00:14:23,120 Yeah, me too. 354 00:14:23,120 --> 00:14:25,360 Okay, so they typically like actually happen, 355 00:14:25,360 --> 00:14:26,680 like they're starting to happen now 356 00:14:26,680 --> 00:14:29,320 like in late high school and in college, 357 00:14:29,320 --> 00:14:33,400 but hackathons are when you have a theme, 358 00:14:33,400 --> 00:14:35,120 it's like, oh, come up with a solution 359 00:14:35,120 --> 00:14:38,560 that is going to help a problem 360 00:14:38,560 --> 00:14:41,280 that's happening in your local city. 361 00:14:41,280 --> 00:14:45,840 You get together with other kids or other people your age, 362 00:14:45,840 --> 00:14:50,360 and then you have different diverse people there. 363 00:14:50,360 --> 00:14:53,600 So you have like developers, business people, designers, 364 00:14:53,600 --> 00:14:58,600 and you build up like a product, 365 00:14:58,960 --> 00:15:02,080 like a digital product over the course of a week. 366 00:15:02,080 --> 00:15:05,720 And I really recommend going to hackathons, 367 00:15:05,720 --> 00:15:08,040 like learning how to code, 368 00:15:08,040 --> 00:15:11,280 trying out new AI tools. 369 00:15:11,280 --> 00:15:12,800 Like, I don't know if you guys have heard of this one. 370 00:15:12,800 --> 00:15:15,120 Have you guys heard of Mid Journey? 371 00:15:15,120 --> 00:15:15,960 No. 372 00:15:15,960 --> 00:15:16,800 Not really. 373 00:15:16,800 --> 00:15:17,620 I have not. 374 00:15:17,620 --> 00:15:18,460 You try that one. 375 00:15:18,460 --> 00:15:21,000 The images from Mid Journey are so cool. 376 00:15:21,000 --> 00:15:24,560 And so for someone that wants to follow my footsteps, 377 00:15:24,560 --> 00:15:27,760 I would say to be curious about like these new AI tools 378 00:15:27,760 --> 00:15:29,080 that are coming out, 379 00:15:29,080 --> 00:15:32,040 because some of them are really, really cool, 380 00:15:32,040 --> 00:15:33,760 where they'll even taking texts 381 00:15:33,760 --> 00:15:36,440 and you can create videos now. 382 00:15:36,440 --> 00:15:39,040 You can take texts and create videos and images, 383 00:15:39,040 --> 00:15:42,000 and some of them are very, very realistic. 384 00:15:42,000 --> 00:15:46,120 And so I would try and test out this new technology. 385 00:15:46,120 --> 00:15:48,600 And then I would try to like build solutions 386 00:15:48,600 --> 00:15:51,840 for problems that you're running into in your day to day. 387 00:15:51,840 --> 00:15:54,360 Yeah, that's, I'm definitely gonna test that out 388 00:15:54,360 --> 00:15:58,360 because before like co-pilot became like 389 00:15:58,360 --> 00:16:00,880 more of a mainstream thing, not a mainstream thing, 390 00:16:00,880 --> 00:16:02,800 but you know, access to like the public 391 00:16:02,800 --> 00:16:04,560 or anybody with a Microsoft account. 392 00:16:05,460 --> 00:16:07,060 I'm like a Windows insider. 393 00:16:07,060 --> 00:16:11,200 So I actually got like early access development for that. 394 00:16:11,200 --> 00:16:13,000 And I was able to make some like photos. 395 00:16:13,000 --> 00:16:14,500 It was pretty cool. 396 00:16:14,500 --> 00:16:15,340 That's cool. 397 00:16:15,340 --> 00:16:17,760 Have you guys ever started a business before? 398 00:16:17,760 --> 00:16:18,600 Yeah. 399 00:16:18,600 --> 00:16:20,400 We actually, this is kind of one, 400 00:16:20,400 --> 00:16:22,280 I mean, we're making some money off of it. 401 00:16:22,280 --> 00:16:23,120 So. Yeah. 402 00:16:23,120 --> 00:16:23,960 We've been, 403 00:16:26,240 --> 00:16:29,340 we evaluated it, but we can't say in public. 404 00:16:29,340 --> 00:16:30,180 Sorry. 405 00:16:30,180 --> 00:16:32,320 Oh, okay. Wow. That's amazing. 406 00:16:32,320 --> 00:16:33,680 Yeah. My first business, 407 00:16:33,680 --> 00:16:38,520 I actually didn't start until several years, 408 00:16:38,520 --> 00:16:40,040 like after working. 409 00:16:40,040 --> 00:16:41,720 So I think that you guys are taking the right steps, 410 00:16:41,720 --> 00:16:44,400 like interviewing really people 411 00:16:44,400 --> 00:16:46,440 with very different diverse backgrounds, 412 00:16:47,680 --> 00:16:51,560 trying to solve problems that are in your local community 413 00:16:51,560 --> 00:16:53,560 and identifying the problem 414 00:16:53,560 --> 00:16:55,120 and then coming up with a solution 415 00:16:55,120 --> 00:16:57,300 to put in front of them to help solve it. 416 00:16:57,300 --> 00:16:59,760 That's what I am an AI engineer 417 00:16:59,760 --> 00:17:03,160 and I am an AI entrepreneur. 418 00:17:03,160 --> 00:17:05,920 And so being able to have those skills, 419 00:17:05,920 --> 00:17:08,800 those are skills that can carry over 420 00:17:08,800 --> 00:17:13,800 into wanting to go down this path, down the road. 421 00:17:15,440 --> 00:17:17,200 That's really cool. 422 00:17:18,240 --> 00:17:20,840 So what can you, sorry about this, 423 00:17:20,840 --> 00:17:22,480 but can you name like the programs 424 00:17:22,480 --> 00:17:26,340 or like even like the apps that you've like helped develop 425 00:17:26,340 --> 00:17:28,000 or developed in the past? 426 00:17:28,000 --> 00:17:30,040 Yes. I've helped, 427 00:17:30,040 --> 00:17:33,960 I've built out the Girl Scouts e-commerce website. 428 00:17:33,960 --> 00:17:34,800 Yeah. 429 00:17:34,800 --> 00:17:36,880 Also their standalone mobile app. 430 00:17:36,880 --> 00:17:37,720 Wow. 431 00:17:37,720 --> 00:17:41,920 I've worked on chase.com and then the chase mobile app. 432 00:17:41,920 --> 00:17:45,080 I've worked on digital wallets. 433 00:17:45,080 --> 00:17:48,360 So like paying with like your credit card on your phone 434 00:17:48,360 --> 00:17:50,680 through like, you know, like when you're on the subway 435 00:17:50,680 --> 00:17:53,480 or something like that and you use your phone to pay, 436 00:17:53,480 --> 00:17:56,080 I've worked on that app before. 437 00:17:56,080 --> 00:18:00,480 I've worked on banking for like Gen Z and millennials. 438 00:18:02,600 --> 00:18:05,360 Creating like an app that's specific 439 00:18:05,360 --> 00:18:07,440 for that type of generation. 440 00:18:07,440 --> 00:18:11,360 And then I've also worked on a teen crypto app. 441 00:18:11,360 --> 00:18:13,120 Like one of the first teen crypto apps 442 00:18:13,120 --> 00:18:17,720 that allowed teens to learn about crypto 443 00:18:17,720 --> 00:18:19,200 as well as buy and sell it. 444 00:18:20,480 --> 00:18:24,360 And then my current company that I'm working on 445 00:18:24,360 --> 00:18:27,360 is called Vocal and we're building out an AI tool 446 00:18:30,040 --> 00:18:32,280 that can help enterprises identify 447 00:18:32,280 --> 00:18:37,040 if audio content is real or AI created 448 00:18:37,040 --> 00:18:38,520 to prevent fraud. 449 00:18:38,520 --> 00:18:39,800 That's awesome. 450 00:18:39,800 --> 00:18:42,120 I mean, even our website, 451 00:18:42,120 --> 00:18:45,240 which I can share the link with you later, 452 00:18:45,240 --> 00:18:47,680 the careers for kids website, I'm just made, 453 00:18:47,680 --> 00:18:52,680 like I made, it was pretty much like just straight up 454 00:18:52,880 --> 00:18:55,040 like editor, but then I had to do a little bit 455 00:18:55,040 --> 00:18:57,520 of like the backbone HTML stuff. 456 00:18:57,520 --> 00:19:02,520 And I also created, so a program using, 457 00:19:02,520 --> 00:19:07,520 I believe C sharp on my Mac that it's not a graphic app, 458 00:19:09,800 --> 00:19:12,200 but it's you just launch it in terminal 459 00:19:12,200 --> 00:19:14,400 and drag in SH file into there. 460 00:19:15,560 --> 00:19:17,040 Yeah, I've showed Maxwell. 461 00:19:17,040 --> 00:19:17,880 Yeah. 462 00:19:17,880 --> 00:19:18,720 Wow, I'm checking out the website. 463 00:19:18,720 --> 00:19:20,240 It looks great. 464 00:19:20,240 --> 00:19:21,880 Thanks. 465 00:19:21,880 --> 00:19:23,120 You built this from scratch 466 00:19:23,120 --> 00:19:26,080 or you use like a platform for this? 467 00:19:26,080 --> 00:19:29,000 We used a platform, but some of it was from scratch 468 00:19:29,000 --> 00:19:32,840 because there was some like really cheap package. 469 00:19:32,840 --> 00:19:35,360 So we didn't have to pay like a bunch of money. 470 00:19:35,360 --> 00:19:38,360 And I believe it was like half price 471 00:19:38,360 --> 00:19:39,600 of like the regular package. 472 00:19:39,600 --> 00:19:42,760 So I had to do like some HTML coding in the back, 473 00:19:42,760 --> 00:19:45,080 but it wasn't painful. 474 00:19:45,080 --> 00:19:45,920 So. 475 00:19:45,920 --> 00:19:47,680 That's amazing. 476 00:19:47,680 --> 00:19:51,000 You guys are picking up on new tech so early. 477 00:19:51,000 --> 00:19:52,720 It's so great to see. 478 00:19:52,720 --> 00:19:53,640 Thanks. 479 00:19:53,640 --> 00:19:54,480 Yeah. 480 00:19:54,480 --> 00:19:56,080 So what is your main life advice 481 00:19:56,080 --> 00:19:59,520 for kids listening to this podcast? 482 00:19:59,520 --> 00:20:01,720 Yeah, I would say for kids, 483 00:20:02,760 --> 00:20:05,040 kids are starting to like pick up. 484 00:20:05,040 --> 00:20:09,080 I think adults underestimate what kids are able to do. 485 00:20:09,080 --> 00:20:12,360 Kids are picking up on AI from like a really, 486 00:20:12,360 --> 00:20:15,120 really young age or like learning how to use these tools. 487 00:20:15,120 --> 00:20:18,720 So my advice for kids listening is to like be curious, 488 00:20:18,720 --> 00:20:21,800 like learn about new types of technology, 489 00:20:21,800 --> 00:20:25,680 start observing the problems going on in your community 490 00:20:25,680 --> 00:20:27,400 and think about how you can solve them 491 00:20:27,400 --> 00:20:29,840 with this type of technology. 492 00:20:29,840 --> 00:20:32,360 The entrepreneurs that I'm meeting now 493 00:20:32,360 --> 00:20:34,120 are becoming younger and younger. 494 00:20:34,120 --> 00:20:39,120 And so some of the things that were obstacles in the past, 495 00:20:40,320 --> 00:20:42,360 like they're no longer as relevant. 496 00:20:42,360 --> 00:20:46,320 And so it's just been amazing to meet other kids 497 00:20:47,560 --> 00:20:51,240 and teens who are changing the world, 498 00:20:51,240 --> 00:20:55,200 whether it's globally or even in their own local communities. 499 00:20:55,200 --> 00:20:56,400 Nice. 500 00:20:56,400 --> 00:20:57,240 Yeah, so. 501 00:20:58,520 --> 00:20:59,680 I think that's a wrap. 502 00:20:59,680 --> 00:21:02,520 Thank you, Angela, for allowing us to interview you. 503 00:21:02,520 --> 00:21:06,000 I'm sure more kids will be inspired by this interview. 504 00:21:06,000 --> 00:21:09,120 To whoever's listening, thanks for a great season one. 505 00:21:09,120 --> 00:21:10,680 And yeah, it's done. 506 00:21:10,680 --> 00:21:14,120 But thanks for listening to the podcast. 507 00:21:14,120 --> 00:21:15,920 See you next time. 508 00:21:15,920 --> 00:21:17,240 All right, thank you. 509 00:21:17,240 --> 00:21:25,240 Bye.