WEBVTT NOTE This file was generated by Descript 00:00:26.963 --> 00:00:31.913 Eli Davis: Welcome everybody to artificial intelligence, real talk, AI with Eli. 00:00:31.913 --> 00:00:40.753 I am very excited to have somebody who I have been getting, trying to connect with for a very long time. 00:00:40.753 --> 00:00:48.413 You have a young man kinda around my son's age, you know, so this is a very interesting topic or conversation that I want to have. 00:00:48.413 --> 00:00:51.383 He's also an industrial engineer. 00:00:51.383 --> 00:00:53.483 That's the same thing my son is as well. 00:00:53.483 --> 00:00:54.593 He went to school for industrial. 00:00:54.863 --> 00:00:58.913 So I'm very excited and very happy to have Zach Kinsler. 00:00:59.123 --> 00:01:00.563 Am I saying your name correctly? 00:01:00.563 --> 00:01:00.983 Zach? 00:01:01.373 --> 00:01:02.633 Zach Kinzler: Yes, perfectly. 00:01:02.633 --> 00:01:03.233 You nailed it. 00:01:04.553 --> 00:01:06.703 Eli Davis: And this is a little bit about Zach. 00:01:06.703 --> 00:01:26.143 So as an AI educator advocate and host of the Smarter Campus Podcast, where he explores how AI is transforming learning in higher education, with a background in industrial engineering and business analytics from the University of Sandy Aigo, Zach works closely with students, educators, and institutions. 00:01:26.338 --> 00:01:37.288 Through Bootle Box to brew, to bridge the gap between AI and education, passionate about empowering students to leverage AI for the academic and career growth. 00:01:37.348 --> 00:01:43.858 He's dedicated to fostering meaningful conversations that shape the future of learning what's going on. 00:01:43.858 --> 00:01:44.038 Zach? 00:01:45.473 --> 00:01:46.628 Zach Kinzler: Thank so much for being here. 00:01:46.628 --> 00:01:48.098 I feel like I have nothing else to say. 00:01:48.158 --> 00:01:50.648 You kind of nailed I'm currently Inman Montana. 00:01:50.698 --> 00:01:51.678 That's the only thing. 00:01:51.678 --> 00:01:53.148 I was left out there so. 00:01:53.413 --> 00:01:53.703 Eli Davis: Okay. 00:01:53.708 --> 00:01:54.038 Okay. 00:01:54.038 --> 00:01:54.398 Yeah. 00:01:54.398 --> 00:01:54.608 Yeah. 00:01:57.648 --> 00:01:59.358 Zach Kinzler: Yeah I'm in Bozeman, Montana. 00:01:59.508 --> 00:02:01.158 I don't know, I've been in ai. 00:02:01.158 --> 00:02:09.078 I like to say like before AI was cool, I used to like mess around with like predictive sports algorithms and that turns out it's ai. 00:02:09.078 --> 00:02:11.778 But I've been in gen AI since came out. 00:02:11.778 --> 00:02:16.128 My, I'll never forget the date chat, GBT came out my like best friend in college. 00:02:16.128 --> 00:02:19.488 We were sitting in the front of an engineering class and like punched me and was like, Hey. 00:02:19.898 --> 00:02:24.458 Look at this, and Chad, GBT just did our thing that he was doing on the board. 00:02:24.878 --> 00:02:29.468 And then from that moment on, I just used it for every single little thing. 00:02:29.468 --> 00:02:34.478 And then I realized like one thing led to another and I was like, I should probably talk to people about this. 00:02:34.483 --> 00:02:35.168 This is crazy. 00:02:35.168 --> 00:02:38.528 Like I'm doing all my schoolwork with it, but like learning. 00:02:38.678 --> 00:02:43.448 And then I kind of realized that a lot of kids were doing all their schoolwork with it and not learning. 00:02:43.988 --> 00:02:45.928 I was just like, wow, this is weird. 00:02:45.928 --> 00:02:48.838 So then I just taught myself a bunch of machine learning stuff. 00:02:48.838 --> 00:02:58.088 I worked for a small startup was worked as an ML engineer, was super not great at that, realized they're like humans a lot more than I like computers. 00:02:58.508 --> 00:03:03.298 And I just kinda started interviewing college kids going on podcasts and then that's how I landed. 00:03:03.718 --> 00:03:06.808 My job at Poodle Box and I don't know, I love my job. 00:03:06.988 --> 00:03:13.918 I just get to jump on Zoom calls and help teachers, faculty, students, people just use AI and learn. 00:03:13.918 --> 00:03:17.488 And I get to like have cool conversations like this with people from all over. 00:03:17.518 --> 00:03:18.628 So it's yeah. 00:03:18.923 --> 00:03:19.643 Eli Davis: with that. 00:03:21.053 --> 00:03:31.533 What have you learned about working with people and introducing them or to further getting them to explore artificial intelligence and education? 00:03:31.753 --> 00:03:34.653 What some of the themes or trends that you see? 00:03:35.596 --> 00:03:39.966 Zach Kinzler: There's a lot, themes and trends I would say, but like some of 'em is like excitement, right? 00:03:40.296 --> 00:03:41.376 A lot of people want. 00:03:42.201 --> 00:03:42.951 They wanna learn. 00:03:43.011 --> 00:03:43.641 They wanna know. 00:03:43.641 --> 00:03:46.951 And it's, 'cause the thing is it's a bunch of really smart people most of the time. 00:03:46.951 --> 00:03:51.571 You know, like these PhD faculties or college students or things like that. 00:03:51.571 --> 00:03:57.291 It's like these kids, students, everyone, most of the people that wanna learn like that want to know. 00:03:57.561 --> 00:04:01.041 There's like this excitement, but this like overwhelming energy. 00:04:01.041 --> 00:04:01.341 Right. 00:04:01.341 --> 00:04:02.901 I kind of describe it as. 00:04:03.846 --> 00:04:10.536 You know when you have a to-do list and you have 50 things to do, but you can't even do one of them 'cause you're so worried about getting all of them down at the same time. 00:04:10.776 --> 00:04:13.446 Like that's where those super excited people are. 00:04:13.746 --> 00:04:20.891 And then the like, the not so excited people that scared is it's really the same feeling in my opinion. 00:04:20.891 --> 00:04:26.501 One's just like excited and the other one's like scared, but it's both in that like, there's so much going on. 00:04:26.501 --> 00:04:28.181 I have no idea what to do. 00:04:28.586 --> 00:04:31.076 And there's a lot of like, misconception, right? 00:04:31.076 --> 00:04:40.606 Like people are really good at reading the top of an article and like thinking they know, and then taking that back to a university and then like influencing others with that. 00:04:41.056 --> 00:04:43.516 There's a lot of misunderstanding about security. 00:04:43.756 --> 00:04:50.836 Like one thing that I always preach to people is that like, chat, GBT doesn't care about your social security number or your, like, proprietary information. 00:04:50.836 --> 00:04:53.086 And that's a huge misconception in my opinion. 00:04:53.086 --> 00:04:53.266 It's like. 00:04:53.836 --> 00:04:57.706 They wanna know why you think and why you do what you do. 00:04:57.706 --> 00:05:01.636 So then you can predict it's just a giant predicting machine. 00:05:01.726 --> 00:05:09.226 And then the other kind of common trend with faculty and universities is that they think we're way behind. 00:05:09.616 --> 00:05:13.276 Like I talk to so many people that are like, oh, you know, we're way behind. 00:05:13.276 --> 00:05:15.136 And it's like, everyone's behind. 00:05:15.196 --> 00:05:15.826 I'm behind. 00:05:15.856 --> 00:05:18.076 I read this stuff every day and I'm behind and it's like. 00:05:19.801 --> 00:05:20.026 I dunno. 00:05:20.026 --> 00:05:22.306 I think the conversation needs to be opened more. 00:05:22.396 --> 00:05:24.016 That's like a trend that I've been finding. 00:05:24.016 --> 00:05:37.306 It's like if the people that were really excited in a good way talk to the people that were really excited in a bad way and actually talked about it instead of just like telling the other one that they were wrong, I think everyone would kind of land in the middle more. 00:05:37.666 --> 00:05:38.896 But it's changing. 00:05:38.936 --> 00:05:50.186 So in the last, I would say six months, like holistically, I've seen a change of, like, even if you're like, I hate this stuff, you realize it's time we need to like talk about it. 00:05:50.586 --> 00:05:55.946 you need to talk about why you hate it and you need to explain like the people that hate it aren't just saying they hate it. 00:05:55.946 --> 00:05:58.766 They're saying I hate it for like x, y, and Z reasons. 00:05:59.126 --> 00:06:05.336 And even that's, I mean, that's the thing I tell people is like, it does the world, it does yourself, it does society no good. 00:06:05.336 --> 00:06:08.606 If you just bury your head in the sand and say, this sucks, I'm not using it. 00:06:08.606 --> 00:06:11.246 Like if you're going to say you don't like it. 00:06:11.741 --> 00:06:18.611 So explain to me like you don't like it because of the security, or you don't like it because of the environmental impact or limiting creativity. 00:06:18.611 --> 00:06:27.851 'cause usually once those conversations get going, they can find ways into liking it so that they can kind of do use it right. 00:06:28.451 --> 00:06:34.291 Eli Davis: So, so, do you think that people say that they don't like it because they haven't used it? 00:06:34.291 --> 00:06:40.656 You just are unaware of the possibilities or they've used it and just like, yeah, this is not for me. 00:06:42.661 --> 00:06:44.641 Zach Kinzler: So like so many different reasons. 00:06:44.641 --> 00:06:59.681 I mean, a lot of the creative side of things like the creatives industry is they're kind of just think it's disruptive in a. in a way that it's gonna kind of take away the art and what they've dedicated their life to really and fair. 00:06:59.801 --> 00:07:01.601 I totally honestly agree with a lot of that. 00:07:01.601 --> 00:07:08.711 Like I work with some comic stu students that do like graphic design and stuff like that, and there's a lot of scarcity around. 00:07:09.716 --> 00:07:11.246 I don't have to do this anymore. 00:07:11.306 --> 00:07:17.876 You know, like this thing is better than me at doing this in a hundredth of the time and hundredth of the cost. 00:07:18.356 --> 00:07:23.786 And then like those people I've realized it's like they kind of fight it, right? 00:07:23.786 --> 00:07:24.956 And they're like, I'm not gonna use it. 00:07:24.956 --> 00:07:30.686 But then everyone I've talked to about that, it's like you gotta educate people and being like, you gotta use this stuff. 00:07:30.686 --> 00:07:34.876 'cause what I always say is like AI's not gonna take your job. 00:07:34.876 --> 00:07:37.456 Someone that knows how to use AI is gonna take your job. 00:07:37.891 --> 00:07:39.031 And like those people. 00:07:39.571 --> 00:07:51.101 Yeah, I can make great graphic design with chat GBT right now, but like, I don't, And someone that's really good at graphic design can probably make a hundred times better, a hundred times faster than I can with chat GBT. 00:07:51.581 --> 00:08:02.086 But then even some, get some faculty that faculty really still like, don't believe in it and they believe that it's just cheating and it's ruining education and. 00:08:02.866 --> 00:08:08.026 Those same faculty are usually the ones that kinda live and die by white papers is what I like to say. 00:08:08.026 --> 00:08:14.206 Like where they say if it's not published, and then those are the same faculty that still use AI detectors. 00:08:14.536 --> 00:08:22.396 So I usually have a good conversation with them about how like there's, here's 20 white papers that prove like why those don't work. 00:08:22.696 --> 00:08:25.906 And if that doesn't work, like the one thing is every time you put. 00:08:26.221 --> 00:08:32.041 Something into an AI detector, it's more than likely using AI to detect if it's using ai. 00:08:32.761 --> 00:08:37.081 So if you're gonna like do that, it's kind of like a, what do you know what I mean? 00:08:37.081 --> 00:08:44.391 Like, but yeah, it's so many varied reasons and whys, but I think they're all kind of converging a little bit, which is good. 00:08:44.781 --> 00:08:45.021 Eli Davis: Okay. 00:08:45.021 --> 00:08:50.421 So, we had a little conversation before and you said that you were doing some work in Africa. 00:08:51.081 --> 00:08:51.411 Zach Kinzler: yeah. 00:08:51.756 --> 00:08:52.116 Eli Davis: Yeah. 00:08:52.236 --> 00:09:01.396 So, you know, I have been lucky enough to go to Fulbright to have two Fulbrights in Africa Ghana and Nigeria. 00:09:01.786 --> 00:09:11.966 And I am just really interested in how you are bringing artificial intelligence to to Africa. 00:09:12.476 --> 00:09:15.106 Lemme just let the audience know here. 00:09:15.826 --> 00:09:32.616 One of the things that I learned when we went to Africa, it was that Africa had a jump when it came to landlines and cell phones in rural Africa, they didn't have many landlines. 00:09:32.616 --> 00:09:37.056 Landlines was a scarcity, but when the cell phone came. 00:09:38.391 --> 00:09:41.421 Everybody was able to get a cell phone, you know what I mean? 00:09:41.421 --> 00:09:43.431 Because landlines were no longer needed. 00:09:43.431 --> 00:09:47.031 It was a satellite and they were able to have access. 00:09:47.211 --> 00:09:57.096 So, and that was a huge jump in the with the access to information that, africa had. 00:09:57.276 --> 00:10:00.824 So, do you read any of Y Noah Harri? 00:10:01.274 --> 00:10:01.394 He 00:10:01.489 --> 00:10:03.014 Zach Kinzler: I should though send it to me. 00:10:03.144 --> 00:10:03.834 Eli Davis: Yeah, I will. 00:10:03.834 --> 00:10:04.704 He has two books. 00:10:04.754 --> 00:10:11.174 One is called Sapiens and one is called nexus, and his Nexus book is all about information. 00:10:12.029 --> 00:10:27.764 He, you know, he antagonized, he says that artificial intelligence is really good, but he also says that it is, we need to make sure that we use it in a particular way because it has this ability to create information, you know. 00:10:27.764 --> 00:10:34.584 So, with that, what kind of information is being created in Africa? 00:10:34.629 --> 00:10:36.279 With Bootle company, Buddha Bot. 00:10:36.524 --> 00:10:43.834 Zach Kinzler: I would like to say one thing I learned recently from my friend Davey, I'm not even gonna attempt to pronounce his last name in Rwanda. 00:10:44.134 --> 00:10:45.214 He said he taught me that. 00:10:45.484 --> 00:10:53.624 Like Africa holds, I think 17, 18% of the world's population but holds about 0.3% of AI's training data. 00:10:54.074 --> 00:11:02.654 So for everyone listening, like what that means is that there's a lot of people in Africa doing a lot of things, but AI knows nothing about it. 00:11:02.954 --> 00:11:07.274 And when you're asking AI questions, it's gonna be biased and it leaves out. 00:11:07.779 --> 00:11:11.049 African information most of the time, African languages. 00:11:11.529 --> 00:11:22.149 So really, I mean, how I got introduced to Africa is just, I did some LinkedIn coaching before I worked here, so I would like help people like post on LinkedIn and like how to use that to get a job and stuff like that. 00:11:22.149 --> 00:11:26.429 And a school in South Africa reached out to me and I just went and did a class there. 00:11:26.429 --> 00:11:31.769 And when I was doing a class there one of the students reached out to me and I had did some one-on-one work with him. 00:11:31.769 --> 00:11:32.939 And then I started working here. 00:11:33.459 --> 00:11:36.219 And I was like, Hey, Juan Dele, like try using Bootle Box. 00:11:36.249 --> 00:11:39.399 'cause I was trying to get students to use it in the United States. 00:11:39.399 --> 00:11:40.749 Like, wouldn't even touch it. 00:11:40.779 --> 00:11:41.739 They wouldn't look at it. 00:11:41.739 --> 00:11:42.639 They're like, this sucks. 00:11:42.639 --> 00:11:44.109 It doesn't do my homework for me. 00:11:44.709 --> 00:11:47.911 Gave it to Juan Dele, then of left for 3 weeks. 00:11:47.911 --> 00:11:48.811 Didn't really talk to him. 00:11:49.261 --> 00:11:51.631 Then came back and he had designed drones. 00:11:51.661 --> 00:12:00.511 He had put used Plexity into chat GBT to understand like how to explain this to people in rural parts of Africa. 00:12:01.266 --> 00:12:08.166 Another kid named Tomi had started like a graphic design company with Bootle Box and like was like selling the things. 00:12:08.166 --> 00:12:14.396 And then this kid named, who's like a great friend of mine now like was using it to help with this 3D, 3D printing business. 00:12:14.396 --> 00:12:15.776 And it was like a light bulb to me. 00:12:15.776 --> 00:12:18.866 I was just like, I couldn't give it to these US kids for free. 00:12:19.376 --> 00:12:23.516 And they were telling me it's crappy and I give it to these kids and they're like. 00:12:24.101 --> 00:12:24.821 Oh, I'm so sorry. 00:12:24.821 --> 00:12:27.971 I shared it with all my friends and I was like, no, that's amazing. 00:12:27.971 --> 00:12:34.121 And then they just did all this incredible stuff and then that was kind of what got me excited about it. 00:12:34.121 --> 00:12:35.471 'cause I'm from Montana. 00:12:35.921 --> 00:12:37.331 I've never met anyone from Africa. 00:12:37.331 --> 00:12:39.821 I don't know any, I'm traveled to Africa. 00:12:39.901 --> 00:12:42.001 But it was like a passion, still passion of mine. 00:12:42.031 --> 00:12:43.501 Now it's something that I'm like working. 00:12:44.491 --> 00:12:45.811 I presented at the AI. 00:12:46.681 --> 00:12:57.881 Invention in Kenya three weeks ago about AI and like, pretty much all that we're doing in Bootle Box is, I'm pretty much just giving it out to kids for free and kind of just keeping 'em a part of the conversation. 00:12:58.161 --> 00:13:12.141 Every Friday and Tuesday, once a month, the third, Friday and Tuesday of the month I hold like a leadership council with all my students from around the United States and the world, and pretty much, I think we have about 25 kids from Africa now, and they'll just hop on. 00:13:12.526 --> 00:13:15.166 They get to talk to kids from the US, from Australia. 00:13:15.226 --> 00:13:16.576 They have students from all over the world. 00:13:16.576 --> 00:13:29.776 But I mean, the thing I always like to say is the meetings on Fridays are at 3:00 PM Eastern and that's about 1:00 AM Ghanaian time, and I think midnight South African time, They never miss the meeting. 00:13:29.776 --> 00:13:33.496 The kids in Africa like never missed my meeting, and I have about 30%. 00:13:34.381 --> 00:13:41.751 Like showing up rate from kids in the United States and it's just, all I'm doing is I'm giving it out to students and they can work collaboratively. 00:13:42.121 --> 00:13:47.251 I don't speak any African languages, but I've been told Bootle Box is really good at African languages. 00:13:47.621 --> 00:13:51.811 And what the students there have used it for is like, you know, this is a new concept to me. 00:13:51.811 --> 00:13:52.141 It's like. 00:13:52.516 --> 00:13:58.366 In Ulu, which is a native tongue of South Africa, which there's 13 of apparent, I've recently learned. 00:13:58.466 --> 00:14:01.286 They, there's no word for like a robot, right? 00:14:01.286 --> 00:14:03.056 Or like for artificial intelligence. 00:14:03.326 --> 00:14:07.466 So it's hard to teach people in like rural areas, like what that stuff means. 00:14:07.806 --> 00:14:12.906 So they've used Boole Box to create stories in ulu that can kind of explain. 00:14:13.851 --> 00:14:20.251 I'm actually speaking at a webinar on Thursday this week to a bunch of South African professors. 00:14:20.331 --> 00:14:27.741 I work with, I work with a school in Rwanda and a student in Rwanda, who's a good friend of mine now, Kenya. 00:14:27.741 --> 00:14:30.791 We work really closely with a few students and Ghana. 00:14:31.841 --> 00:14:39.811 Starting a few conversations in there with, actually I met a person at a conference last week and he's working a lot with students in Africa. 00:14:40.141 --> 00:14:49.881 And 'cause I didn't really realize that the, until I started doing this, like you said, once the cell phone became modernized, most people in Africa have a cell phone. 00:14:50.151 --> 00:14:53.181 And it's really this AI thing, I mean. 00:14:54.066 --> 00:14:57.456 It needs to be talked about that, you know, the training data is not the same, right? 00:14:57.506 --> 00:15:11.606 There's less representation of African training data, but like from what I've seen, like the rest of the world's gonna, like these kids in Africa are doing crazy cool stuff and they're just gonna continue to do crazy cool stuff and I just want to like. 00:15:13.181 --> 00:15:20.111 help and be the tiniest bit of catalyst into giving someone an opportunity if they didn't think they could have it before. 00:15:20.211 --> 00:15:26.391 And it's something that I'm gonna continue to do forever regardless of where I'm at, company wise, things like that. 00:15:26.391 --> 00:15:35.501 Bootle Box is doing everything they can to support students in Africa, and it's something that I'm gonna do cry forever 'cause it's super cool and it's something that I, yeah. 00:15:36.031 --> 00:15:36.631 Eli Davis: Okay, cool. 00:15:36.661 --> 00:15:37.471 That's what's up, man. 00:15:37.521 --> 00:15:48.561 What made me, what came to my mind was I have a really good friend I call it 73, because we were both born in 1973, you know, Sade Collins, and she has a school in Cameroon. 00:15:49.131 --> 00:15:57.281 So I'm going to most definitely send this podcast to Sade so she could, you know, start to you know, reach out to you. 00:15:57.471 --> 00:15:59.931 I can send you her information, you can reach out to her. 00:16:00.411 --> 00:16:03.081 She's a little skeptical about artificial intelligence. 00:16:03.081 --> 00:16:08.061 I tried to put her on a couple years ago, you know, when it I was like come on, Sade, come on. 00:16:08.061 --> 00:16:09.991 73. And she's like, I don't know. 00:16:09.991 --> 00:16:11.741 You know, just fearful. 00:16:11.771 --> 00:16:13.271 asking her son about it. 00:16:13.541 --> 00:16:28.381 You know, he was like, yeah, it is just this little thing that you could just, you know, some people are doing some bad homework with, you know, but you know, so, but this is a really good place for you to explain what Boodle Box is. 00:16:28.381 --> 00:16:28.411 I. 00:16:29.371 --> 00:16:29.431 Zach Kinzler: Yeah. 00:16:30.271 --> 00:16:38.671 So high level brutal box is a conglomerate of all the large language model providers in one place. 00:16:38.911 --> 00:16:52.691 So what I mean by that is you can use chat, GBT, quad, Gemini, perplexity, and a few that if I say most people aren't gonna really know what they are but you can use chat GBT four oh within Bootle Box and it's safe. 00:16:52.946 --> 00:16:56.876 Meaning no models are used to train on any of our data that we provide. 00:16:56.876 --> 00:17:07.736 So like I said, when I said like one of the, we were talking about worries of teachers and stuff, everyone in the world is really worried that say open AI is gonna take my proprietary student data. 00:17:08.046 --> 00:17:14.856 Like I said, like they don't really care about your student data, but even if you did upload student data in Bootle Box, it's completely secure. 00:17:14.886 --> 00:17:21.006 I mean, obviously disclaimers based on your university's policies and things like that, but were FERPA compliant. 00:17:21.666 --> 00:17:27.306 My joke is all of the acronyms that I don't know what they stand for, but that need to be clicked for higher education. 00:17:27.306 --> 00:17:28.716 Were all of those things. 00:17:28.926 --> 00:17:31.806 And then as well as that, it's environmentally friendly. 00:17:31.896 --> 00:17:36.066 So we have this technology that we've created called, token reduction technology. 00:17:36.126 --> 00:17:50.196 So high level, what that means is since we are super safe and we don't care about training models on any of your data, we inherently can use large language models more efficiently than they can use themselves. 00:17:50.296 --> 00:17:53.056 So we use about 80% less tokens per call. 00:17:53.116 --> 00:17:55.336 So it's like 80% better for the environment. 00:17:55.786 --> 00:17:57.676 And then as well as that, everything's collaborative. 00:17:58.441 --> 00:18:04.591 So if you've ever used Google Doc or anything like that, you can do that within Bootle Box in a chat GBT chat. 00:18:05.101 --> 00:18:14.851 So me and Eli here could be asking each other questions and then we could call chat GBT into the conversation and it could understand what me and Eli were talking about. 00:18:14.851 --> 00:18:15.781 And continue. 00:18:16.051 --> 00:18:18.421 You can have up to 500 people in a group chat. 00:18:18.511 --> 00:18:20.041 I don't know why you would ever do that. 00:18:20.041 --> 00:18:23.371 Seems super hectic and aggressive, but you can and then. 00:18:23.821 --> 00:18:25.621 Really, it's an AI literacy tool. 00:18:25.681 --> 00:18:30.351 So this is one thing that I'm really excited about for like students in Africa. 00:18:30.401 --> 00:18:31.241 starting conversation. 00:18:31.241 --> 00:18:35.471 'cause there's similar beliefs like that in like Barbados, Jamaica, stuff like that. 00:18:35.571 --> 00:18:43.401 It's called a coach mode, which what it'll do is it will give you recommendations on how to use AI while you're using ai. 00:18:43.761 --> 00:18:48.081 So it's like, if I asked chat GBT, write this email. 00:18:48.786 --> 00:18:50.406 I didn't give it any more context. 00:18:50.406 --> 00:18:57.606 It's gonna write me an email, but then at the bottom it's gonna say you should provide the person you're writing it to, the tone you want, all of that. 00:18:57.906 --> 00:19:06.996 So Bootle Box is all about equitable access to ai, so you get unlimited access to all of the paid models in a very affordable environment. 00:19:07.326 --> 00:19:10.176 Affordable AI education. 00:19:10.236 --> 00:19:14.826 So it's like it will teach you how to become fluent in AI by using it. 00:19:14.826 --> 00:19:17.736 And that is how we as humans learn, is by doing. 00:19:18.046 --> 00:19:20.836 So it's an AI fluency, AI literacy. 00:19:21.466 --> 00:19:24.706 I like to, I'm trying to think of a better tagline for this. 00:19:24.706 --> 00:19:27.136 So anyone listening, if you have any recommendations, let me know. 00:19:27.136 --> 00:19:31.186 It's like the people's ai, so we give you affordable access. 00:19:31.621 --> 00:19:40.801 A collaborative, secure environment that allows you to become AI literate instead of AI reliant, which is necessary for the future. 00:19:41.556 --> 00:19:42.006 Eli Davis: Real quick. 00:19:42.006 --> 00:19:47.906 That's a real cool like you just wrapping it up, just like super, super amazing and super dope, you know? 00:19:47.906 --> 00:19:48.986 It's very interesting. 00:19:49.286 --> 00:19:55.316 You know, I'm old school and I pledge the fraternity Omegas High five way back in 1995. 00:19:55.886 --> 00:19:57.716 And if you do the math, that's 30 years. 00:19:58.261 --> 00:19:58.551 Zach Kinzler: Yeah. 00:19:59.126 --> 00:20:01.686 Eli Davis: So we just had our 30 year anniversary. 00:20:02.631 --> 00:20:07.411 And one, quite a few of 'em are some successful, very successful people. 00:20:08.041 --> 00:20:16.671 And we we're sitting there and one, Quan Dorsey Quan was like hey man, we gotta get these people onto a Ai Eli. 00:20:16.671 --> 00:20:17.931 You gotta introduce 'em to 'em. 00:20:18.441 --> 00:20:22.021 And I'm sitting there and you know, it was kind of some reluctancy. 00:20:22.936 --> 00:20:25.966 Next thing you know, I showed Del Quan a couple of things. 00:20:25.966 --> 00:20:32.936 One person came in there, another person I put up AI and video and how it can read the room. 00:20:33.266 --> 00:20:37.906 And I had those fellas hooked, you know, I'm absolutely hooked. 00:20:38.146 --> 00:20:43.916 So, yeah, the benefit of artificial intelligence is just, is for me. 00:20:45.671 --> 00:20:48.641 And even with my creativity, you know what I mean? 00:20:48.641 --> 00:20:50.591 it is, it's an extension. 00:20:50.591 --> 00:20:53.036 there's no way that I would be able to play the guitar. 00:20:53.536 --> 00:21:02.616 The way, you know, I can make no sound like I can, you know, playing the guitar, but I need that guitar to create that sound, you know what I mean? 00:21:02.856 --> 00:21:12.996 And I was thinking about creative people like what if somebody did some creative art and then put it into artificial intelligence and started to assist and modify and use that as part of it too. 00:21:13.356 --> 00:21:15.346 You know, I think that is absolutely amazing. 00:21:15.526 --> 00:21:21.046 Okay, so, so, because I don't want to take too much of your time, but I do want to talk about your podcast. 00:21:21.736 --> 00:21:23.116 You said Yeah, go ahead. 00:21:23.116 --> 00:21:23.446 Go ahead. 00:21:23.676 --> 00:21:25.896 Zach Kinzler: The one thing I will say on the last point is like. 00:21:26.301 --> 00:21:27.261 I use it for cooking. 00:21:27.351 --> 00:21:34.431 I'm a huge cook, and like using chat GBT for cooking is like my favorite way to get people to like, realize how cool it is. 00:21:34.611 --> 00:21:39.791 You know, it's like, go take a picture of your fridge and be like, yo, what can I whip up with all of this? 00:21:39.791 --> 00:21:41.261 And it'll blow your mind. 00:21:41.361 --> 00:21:45.201 But my podcast, I have a podcast called Smarter Campus Podcast. 00:21:45.601 --> 00:21:49.411 I interview students, faculty, teachers from all over the world. 00:21:49.461 --> 00:21:51.441 I post them about once to twice a week. 00:21:51.811 --> 00:21:53.371 It's on all platforms. 00:21:53.731 --> 00:21:55.711 I'm on LinkedIn Zach Kinsler. 00:21:55.771 --> 00:21:56.791 I post videos. 00:21:57.571 --> 00:22:01.891 Two to four times a week about like making complicated things simple. 00:22:01.891 --> 00:22:07.321 So I take AI buzzwords and kind of just like explain to them what they mean. 00:22:07.441 --> 00:22:15.711 'cause like a big thing in my opinion is the average person nowadays is often confused by all of the technical jargon that's thrown around. 00:22:16.071 --> 00:22:19.221 And that technical jargon really isn't that complicated. 00:22:19.321 --> 00:22:21.361 But people just act like it is. 00:22:21.361 --> 00:22:22.321 So I try to. 00:22:22.726 --> 00:22:33.556 Take what's complicated, explain it to people simply, and then my podcast is a lot less of me talking And a lot more of me just asking some educator like, tell me about yourself. 00:22:34.396 --> 00:22:36.916 How's life been for the last three years? 00:22:37.006 --> 00:22:39.466 And they kind of just, it's cool. 00:22:39.466 --> 00:22:43.396 like I know a lot of the folks on LinkedIn that people follow, like I've interviewed all those. 00:22:43.966 --> 00:22:47.836 Big ed tech guys like Jason Golia and Don Winkle and people. 00:22:47.836 --> 00:22:53.206 But I try to interview just like very normal professors that don't talk about this stuff too much. 00:22:53.236 --> 00:22:56.746 'cause it's very, I don't know, it's insightful. 00:22:56.806 --> 00:23:09.226 And everyone's struggling and everyone's doing well at this time, is what I would like to say for, if you're listening to this, you're like interested in ai, like you're already 95% ahead of the general population. 00:23:09.466 --> 00:23:09.946 Eli Davis: Yeah. 00:23:10.546 --> 00:23:10.726 Yeah. 00:23:10.726 --> 00:23:13.306 That's one of the things that I try to get people to understand. 00:23:13.306 --> 00:23:17.041 I you were earlier in the conversation you said that we are all behind. 00:23:17.581 --> 00:23:22.581 You think about starting something at a foundational level, you know what I mean? 00:23:22.581 --> 00:23:26.631 And only being, having access to this kind of artificial intelligence, these LLMs. 00:23:27.691 --> 00:23:35.255 It is only been a couple years, you know, and it's going to be around, you know what I mean? 00:23:35.255 --> 00:23:36.395 It's going to be around. 00:23:36.445 --> 00:23:38.065 They got so many different things. 00:23:38.305 --> 00:23:43.990 So, one of the cool things that I've just listening to you and we are thinking, I'm thinking about Bootle Box. 00:23:44.665 --> 00:23:49.715 And I'm thinking about kind of in the K 12 setting, university setting, college setting. 00:23:50.345 --> 00:24:03.835 Said that they you have the ability to collaborate within ai collaborate on a meeting and then bring artificial intelligence into it and it can understand all of what's going on in the collaboration. 00:24:04.690 --> 00:24:05.020 Zach Kinzler: Yep. 00:24:05.290 --> 00:24:12.870 Eli Davis: you know how transformative that would be for if a school did that used artificial intelligence? 00:24:12.920 --> 00:24:25.690 You could have whoever is the principal or the curriculum coach, reading specialist problem solving team whoever you wanted to do, whoever you wanna put in charge of that. 00:24:26.255 --> 00:24:29.235 Then use artificial intelligence to. 00:24:30.350 --> 00:24:43.040 Assist with bridging the intellectual gap that is there for teachers, especially early teachers or teachers coming into the profession at a later age, but are still new inside of education. 00:24:43.460 --> 00:24:57.890 You have the ability for using something like Bootle Box to be able to collaborate, use artificial intelligence, modify how artificial intelligence is going to disseminate information and based off of. 00:24:58.340 --> 00:24:59.240 Your culture 00:24:59.990 --> 00:25:09.510 Zach Kinzler: Yeah and like the other thing I'll say too is like the coach mode we just added last week is like so good at helping people use it. 00:25:09.960 --> 00:25:18.930 Like I use it all the time and I, like I said, I'm like, I would argue I'm really good at using chat GBT and Claude and all of the things to do what I want them to do. 00:25:19.230 --> 00:25:22.740 And like I still learn things now where it's like, whoa, okay, cool. 00:25:22.740 --> 00:25:24.270 That is probably a better way to think about it. 00:25:24.270 --> 00:25:24.420 And. 00:25:25.365 --> 00:25:30.135 The thing I like to say is, regardless of what people will tell you, like AI's been around forever. 00:25:30.135 --> 00:25:37.395 It's like it hasn't like it has been, but that is such like a subset of human beings that like actually have played with this stuff. 00:25:37.395 --> 00:25:41.925 It's like you were at the exact same place that everyone else was three years ago. 00:25:42.135 --> 00:25:45.885 Like I know it might feel like you're a little late, but just go use it. 00:25:45.885 --> 00:25:51.765 Like go use Bootle Box and you'll learn how to use it while the coach mode, but like, you know, go use something else. 00:25:51.765 --> 00:25:53.175 Go use anything because like. 00:25:53.685 --> 00:25:56.685 It is the worst it's ever gonna be right now. 00:25:57.045 --> 00:25:57.345 Eli Davis: Yep. 00:25:57.375 --> 00:25:58.755 How do they find Bootle Box? 00:26:00.630 --> 00:26:08.930 Zach Kinzler: I like to say search noodle box with a B 'cause Boole box is hard to think, but really just like, I'm sure my information will be somewhere on this podcast. 00:26:08.930 --> 00:26:09.590 Reach out. 00:26:09.670 --> 00:26:11.020 Just search Boole Box. 00:26:11.070 --> 00:26:12.840 But call me on LinkedIn. 00:26:13.050 --> 00:26:16.440 You'll probably hear about me some somehow on link if you're on LinkedIn. 00:26:16.440 --> 00:26:18.540 I love blabbing about AI and education. 00:26:18.640 --> 00:26:29.850 But just reach out and if you ever wanna talk about, that's the other thing I like to say is like, if you're ever overwhelmed or anything and you just wanna like tell someone about it, I love listening to like, why people are interested in this stuff. 00:26:29.850 --> 00:26:31.010 'cause it's, I don't know. 00:26:31.280 --> 00:26:31.790 It's cool. 00:26:32.000 --> 00:26:33.260 But thank you so much for having me. 00:26:33.350 --> 00:26:34.040 This is so fun. 00:26:34.725 --> 00:26:35.055 Eli Davis: Oh. 00:26:35.055 --> 00:26:35.835 Yeah, man. 00:26:35.865 --> 00:26:37.035 This is was amazing. 00:26:37.305 --> 00:26:37.605 Okay. 00:26:37.605 --> 00:26:37.815 So. 00:26:38.845 --> 00:26:40.735 Alright, so we're about to go ahead and close. 00:26:40.740 --> 00:26:41.460 Wrap on up. 00:26:41.700 --> 00:26:55.170 Do me a favor, and this is specifically for those people who are in engineering who do not really see how they can use artificial intelligence. 00:26:55.170 --> 00:26:56.070 Do you have some tips for them? 00:26:56.570 --> 00:27:01.820 Zach Kinzler: like go ask it to explain a really complicated subject that you learned at one point. 00:27:02.010 --> 00:27:05.250 Like, you know, say if you're mechanical engineering and you learned about. 00:27:05.775 --> 00:27:07.575 Structure is a chemical composition. 00:27:07.575 --> 00:27:09.555 Like go ask it and then you understand it really well. 00:27:09.825 --> 00:27:16.035 So what I'm about to tell you, it is very important that what you're asking it to explain, you understand very well. 00:27:16.455 --> 00:27:19.095 Go ask it to explain something you understand very well. 00:27:19.365 --> 00:27:23.865 Like you're five years old and it's gonna do a great job. 00:27:24.405 --> 00:27:30.135 And then go do that with something you don't understand and it's gonna really help you grapple what you're doing. 00:27:30.165 --> 00:27:33.515 And then that'll help you kind of, I really disagree. 00:27:33.515 --> 00:27:34.955 People are like, it's bad at math. 00:27:35.175 --> 00:27:40.155 it might be not perfect at math right now, but it's better than I am at math and I'm really good at math. 00:27:40.335 --> 00:27:44.825 So like, don't bury your head in your sand and think it's not gonna be good at everything soon. 00:27:44.945 --> 00:27:49.930 And the best way to see that is like, go have it explain something super complicated that you understand, like your five. 00:27:51.200 --> 00:27:52.640 Eli Davis: Thank you for the information. 00:27:52.640 --> 00:27:55.520 All right, everybody, we're getting ready to go ahead and close out. 00:27:55.520 --> 00:28:02.420 Thank y'all for listening to Artificial Intelligence, real Talk, AI with Eli, with the guests, Zach Kinsler. 00:28:02.730 --> 00:28:03.510 I appreciate it. 00:28:03.510 --> 00:28:05.760 And you know, if I had some claps or something like that, I'll 00:28:06.640 --> 00:28:06.930 Zach Kinzler: Sure. 00:28:07.710 --> 00:28:08.580 Eli Davis: real cool man. 00:28:08.820 --> 00:28:09.720 I really appreciate you. 00:28:10.080 --> 00:28:10.620 All right. 00:28:10.650 --> 00:28:11.040 Okay. 00:28:11.040 --> 00:28:12.760 So, you know where to reach Zach. 00:28:12.760 --> 00:28:15.250 He said that he is most definitely in LinkedIn. 00:28:15.300 --> 00:28:20.595 And you know, and if you just want to go ahead and reach out, you could just Google him and Boole box. 00:28:20.595 --> 00:28:23.055 I googled him as a matter of fact, and it came up with quite a bit. 00:28:24.555 --> 00:28:25.505 So, all right. 00:28:25.865 --> 00:28:26.975 Peace out everybody. 00:28:27.065 --> 00:28:27.605 One line.