WEBVTT 00:00:20.006 --> 00:00:23.931 Hi, and welcome to Teaching Python Podcast. This is episode 161, 00:00:23.931 --> 00:00:25.660 Teaching Hard Things Simply. 00:00:26.038 --> 00:00:28.876 My name's Kelly Schuster-Paredes, and I'm a teacher who codes. 00:00:29.120 --> 00:00:32.400 And I'm Julian Sequeira, and I'm a coder who coaches. 00:00:33.201 --> 00:00:38.130 I'm so excited. We got that right. It's like a thing that we always get scared about it when we come. 00:00:38.507 --> 00:00:41.501 So today, I'm really excited. I'm going to skip over all that fun stuff. 00:00:41.501 --> 00:00:47.441 Today, I'm really excited. We have Jeff Kroom here, and he's an IBM Distinguished 00:00:47.441 --> 00:00:52.881 Engineer, and he's pretty much like a person I stalk online because he has all 00:00:52.881 --> 00:00:55.281 these great videos that I can easily share with teachers. 00:00:55.281 --> 00:00:59.251 And like we were just talking before the show, they're all under like 15 minutes, 00:00:59.251 --> 00:01:02.116 so perfect for teacher bits. Welcome, Jeff. 00:01:03.156 --> 00:01:08.133 Thank you. Thank you. And I'll say right up front that a bit of disclaimer so 00:01:08.133 --> 00:01:11.983 that I stay out of IBM jail, that the views expressed are my own. 00:01:12.423 --> 00:01:16.523 So don't blame IBM or NC State University where I'm an adjunct professor. 00:01:16.523 --> 00:01:18.943 Neither one of them are responsible for it comes out of my mouth. 00:01:19.383 --> 00:01:20.620 Who is responsible, Jeff? 00:01:22.023 --> 00:01:26.363 I don't. I would say me, but people who know me know that I'm not a responsible 00:01:26.363 --> 00:01:28.123 individual. So I guess no one is. 00:01:28.563 --> 00:01:31.523 Perfect. You're going to fit right in with this conversation. 00:01:31.863 --> 00:01:34.837 I have a feeling we're going to have a great time. 00:01:35.863 --> 00:01:36.833 We kick the adults out. 00:01:36.833 --> 00:01:38.303 We kick the adults out, exactly. 00:01:38.303 --> 00:01:38.790 That's right. 00:01:39.383 --> 00:01:43.063 So before we start, because I always do this, so we get off tangent, 00:01:43.063 --> 00:01:46.553 I want to start with the wins of the week. And wins of the week are anything 00:01:46.553 --> 00:01:52.519 that happened at home, at school, at work, in the countryside. 00:01:52.676 --> 00:01:56.523 And we're always going to start with the guest. So, Jeff, go ahead. 00:01:56.903 --> 00:02:00.443 Okay. Well, I had a cool last seven days. 00:02:00.763 --> 00:02:06.893 I went to Austin, Texas, where I did a presentation at a customer seminar and 00:02:06.893 --> 00:02:09.543 then got to go to Cartagena, Colombia. 00:02:10.223 --> 00:02:14.623 I've been to Colombia a few times before, but never to Cartagena and a very beautiful city. 00:02:15.023 --> 00:02:20.892 Got to do a keynote on the topic of AI and jobs. Will AI take or make jobs? 00:02:21.328 --> 00:02:25.345 And the answer is definitely yes, it will. 00:02:27.403 --> 00:02:28.583 I bet you that went over well. 00:02:29.603 --> 00:02:31.249 Just yes. Yes. 00:02:31.428 --> 00:02:36.543 Yeah. And then I was done. And so that was easy work. 00:02:36.923 --> 00:02:41.273 That's crazy. I wish I could get to go to Cartagena. I actually went there one 00:02:41.273 --> 00:02:44.573 time. I loved the Wall City, but no one ever invites me. We have to go to things 00:02:44.573 --> 00:02:47.703 like Orlando to talk. It's not very fun. 00:02:49.836 --> 00:02:51.502 Uh, Julian, you want to go next? 00:02:51.717 --> 00:02:55.452 Yeah, sure. Um, all right. So I, I have a couple of wins, but the, 00:02:55.452 --> 00:02:57.542 the good one with the kids, uh, 00:02:57.542 --> 00:03:01.672 my kids got their mid-year results in for school and they all smashed it. 00:03:01.672 --> 00:03:06.562 So one of them, we've got a bunch of rewards, sorry, awards at a school ceremony, 00:03:06.562 --> 00:03:10.635 uh, yesterday, which was very proud, a very proud moment for us. So that was good. 00:03:11.093 --> 00:03:16.162 Um, and on a personal note for me with, with work, things are changing and going very quickly. 00:03:17.202 --> 00:03:21.122 On one hand, I start a brand new CTO gig on Monday. 00:03:21.502 --> 00:03:26.477 So I'll be the CTO of a financial company starting on Monday, which is very exciting. 00:03:26.819 --> 00:03:29.822 And on the other hand, people in my community have started reaching out for 00:03:29.822 --> 00:03:34.462 help. So yesterday, I was with an elderly lady, 82 years old, 00:03:35.442 --> 00:03:39.758 walking her through password management. She's hard of her sights going. 00:03:40.141 --> 00:03:44.031 And so I you know working through the accessibility stuff but also um, 00:03:45.002 --> 00:03:49.792 educating at the same time that's the relevance to this conversation um and 00:03:49.792 --> 00:03:56.592 answering her ai questions all at once so it was a it's been a good good period of time you're. 00:03:56.592 --> 00:03:57.442 Doing the lord's work. 00:03:57.442 --> 00:03:58.402 And if you watch. 00:03:59.042 --> 00:04:03.612 If you watch any of jeff's I think I feel like jeff is going to say something like pass key not. 00:04:03.612 --> 00:04:09.142 Not I was doing my best you could you could see me biting my tongue why would. 00:04:09.142 --> 00:04:11.442 You give an 80 year old woman a password. 00:04:11.862 --> 00:04:12.922 Yeah yeah. 00:04:12.922 --> 00:04:13.752 Passwords what are. 00:04:13.752 --> 00:04:18.602 Those my my first thing was just not in a notebook okay let's just get it off 00:04:18.602 --> 00:04:22.522 this one piece of paper in front of you that's that's the the bar small wins 00:04:22.522 --> 00:04:23.662 yeah exactly understand, 00:04:24.522 --> 00:04:28.592 you are you know what though jeff his thing she she did ask about pass keys 00:04:28.592 --> 00:04:32.422 so i want to hear about your um you're gonna have to talk about that in a minute then. 00:04:32.422 --> 00:04:33.232 That means we're making. 00:04:33.232 --> 00:04:37.203 Progress. Yeah, exactly. All right, Kel, go for it. 00:04:38.202 --> 00:04:43.222 So, I've had a really fun summer. I've done a couple of presentations, 00:04:43.222 --> 00:04:45.829 but last week, a girl from my gym, 00:04:46.485 --> 00:04:49.970 asked me on a friendly if, and I kind of, 00:04:50.885 --> 00:04:55.090 replicated the friendliness, I needed to work out some ideas because I'm doing 00:04:55.090 --> 00:05:02.530 a presentation for a group called Crew, which is Construction Real Estate Women in Palm Beach County. 00:05:02.808 --> 00:05:05.960 And I was trying to, I was a little bit nervous because it's a pretty big crowd. 00:05:05.960 --> 00:05:09.270 It was like 45 people and we're talking about AI and just how, 00:05:09.690 --> 00:05:13.020 you know, AI can be used as a colleague in the real estate market, 00:05:13.020 --> 00:05:15.397 just kind of helping out some of these companies and firms. 00:05:15.786 --> 00:05:19.830 So my friend at the gym, she's like, hey, come practice with us. 00:05:20.150 --> 00:05:24.806 So I went to her real estate office and it was a really fun time. 00:05:24.936 --> 00:05:29.450 And being able to present to people when I don't know really anything about 00:05:29.450 --> 00:05:33.650 real estate or finance, and I'm just talking about AI, it was just kind of, 00:05:33.650 --> 00:05:35.290 it was a nice feeling that. 00:05:37.445 --> 00:05:42.810 People in industry are experiencing stuff that we've already experienced in 00:05:42.810 --> 00:05:45.490 schools like three years ago and so, 00:05:46.270 --> 00:05:49.530 feeling like the expert in the room even though i didn't know the the subject 00:05:49.530 --> 00:05:54.890 area was just uh another one of those you know wins and here we go so it's kind 00:05:54.890 --> 00:05:58.908 of it was a good win yeah that's cool very nice yeah all right, 00:06:00.393 --> 00:06:04.720 all right let's get to the fun stuff so um i'm just gonna tell a little story 00:06:04.720 --> 00:06:08.870 so i've been you know silently stalking and learning from Joss' videos, 00:06:10.010 --> 00:06:11.280 sharing the little tidbits. 00:06:11.280 --> 00:06:13.490 The first one I shared with the teachers was... 00:06:15.622 --> 00:06:20.288 This video, I think it was where you defined deep learning, AI, 00:06:20.288 --> 00:06:23.708 machine learning. And Jeff, I don't know if you've ever watched any of his videos. 00:06:23.708 --> 00:06:29.668 He has this really cool see-through screen and he writes everything. I want one. 00:06:30.298 --> 00:06:31.538 Yeah, very cool. 00:06:32.032 --> 00:06:38.558 But it's very simple and well-explained and, like I said, short tidbits. 00:06:39.018 --> 00:06:45.638 And so I've been sharing out some of his knowledge pieces to teachers and just 00:06:45.638 --> 00:06:49.148 loving the stuff. And that's where I'm starting with. There's no question. 00:06:49.148 --> 00:06:53.970 I'm going to let you tell us a little bit about everything that you've done. 00:06:54.318 --> 00:06:57.025 And then Julian will go for there. 00:06:57.193 --> 00:06:57.358 Okay. 00:06:57.358 --> 00:07:00.488 You bet. Well, first of all, thank you. Thank you for watching. 00:07:00.488 --> 00:07:01.908 Thank you for the kind words. 00:07:03.168 --> 00:07:09.138 There's, to me, this is a lot of fun. And I know it probably people leave with 00:07:09.138 --> 00:07:14.506 the impression because I'm such an amateur at this that I'm probably doing this in my basement. 00:07:14.924 --> 00:07:18.358 But actually, there's a professional operation behind me supporting me. 00:07:18.358 --> 00:07:22.848 So I go out to the, I live in Raleigh, North Carolina, and I go out to the IBM 00:07:22.848 --> 00:07:26.604 office at Research Triangle Park just about every Friday morning. 00:07:27.051 --> 00:07:34.673 And I record a new video, 10 to 12, every Friday, unless there's some major reason not to. 00:07:34.975 --> 00:07:40.828 So I'm out there doing those. And we have a studio, and it's got professional 00:07:40.828 --> 00:07:46.078 sound, lighting, cameras, all kinds of stuff in there. 00:07:46.078 --> 00:07:48.878 I mean, it's probably $30,000 or $40,000 worth of equipment in there. 00:07:48.878 --> 00:07:51.391 And then we have professional editors that fix things. 00:07:51.967 --> 00:07:55.112 Things and try to make it look presentable because, you know, 00:07:55.112 --> 00:07:58.592 I mean, talk about Mission Impossible. They've got me as source material and 00:07:58.592 --> 00:08:02.770 they have to put enough lipstick on that pig to make it work. 00:08:03.687 --> 00:08:08.452 So that's what we do. Now, what I basically do is I come up with the subjects. 00:08:09.052 --> 00:08:11.352 Every once in a while, someone in IBM will come to me and say, 00:08:11.352 --> 00:08:14.373 hey, we really need you to do this topic or that topic. 00:08:15.152 --> 00:08:19.032 But for the most part, I come up with the subjects myself because Because in 00:08:19.032 --> 00:08:23.062 my day job, my primary responsibility is working with clients throughout the 00:08:23.062 --> 00:08:27.475 Americas, North and South. So that's my whole coverage area is that half of the world. 00:08:27.957 --> 00:08:34.232 And I will run across things that they are curious about, that they don't understand, 00:08:34.424 --> 00:08:37.703 that I can see they're struggling with. And then that often becomes. 00:08:39.156 --> 00:08:43.920 A food for thought for me, oh yeah, maybe I don't understand it either. Maybe I need to learn. 00:08:44.170 --> 00:08:46.616 Well, one of the best ways to learn something is to teach somebody, 00:08:47.096 --> 00:08:50.056 because in order to teach somebody, you have to learn it yourself. 00:08:51.436 --> 00:08:55.786 In learning it deeply enough to be able to explain it, then it causes you to 00:08:55.786 --> 00:09:01.156 dig deeper. So that's, I look at, for me, number one benefit I get from doing 00:09:01.156 --> 00:09:03.848 these videos is it's my own learning. 00:09:04.776 --> 00:09:09.636 It forces me to develop, you know, a structure around the ideas so that I can 00:09:09.636 --> 00:09:13.296 explain them in a way that hopefully a lot of people understand. 00:09:14.605 --> 00:09:17.436 And then there's the number one question that we always get, 00:09:17.436 --> 00:09:22.046 if you've ever seen any of these videos, as Julian told you, 00:09:22.046 --> 00:09:25.906 you know, there's a glass. It looks like I'm riding backwards in the air with 00:09:25.906 --> 00:09:27.828 my left hand in a dark room. 00:09:28.374 --> 00:09:30.423 And none of those things I just told you are true. 00:09:31.336 --> 00:09:35.556 The room's very bright, at least in terms of the lights shining in my eyes. 00:09:35.556 --> 00:09:36.916 I feel like I need sunglasses. 00:09:37.976 --> 00:09:40.876 The background is black, though, so it looks like the room is dark. 00:09:43.016 --> 00:09:48.476 If I write in the air, you can see nothing happens. So I'm obviously not writing 00:09:48.476 --> 00:09:51.616 in the air. There is a glass in front of me, and we use special markers. 00:09:52.136 --> 00:09:58.116 And there's a black light that's built into the glass that goes around the rim of the glass. 00:09:58.796 --> 00:10:03.276 And then these markers fluoresce in the black light. So that's what gives it 00:10:03.276 --> 00:10:05.536 that visual pop that you see. 00:10:06.696 --> 00:10:09.691 But the main thing, the number one question I always get is, 00:10:09.796 --> 00:10:11.536 how did you learn to write backwards? 00:10:14.660 --> 00:10:19.676 And so many people, what kills me is the ones who write in the YouTube comments. 00:10:20.156 --> 00:10:26.026 It's like, one of them I always remember, dude, I can't even concentrate on 00:10:26.026 --> 00:10:27.876 what he's saying. He's writing backwards. 00:10:29.276 --> 00:10:30.311 I'm like, okay, well... 00:10:30.897 --> 00:10:35.768 Sorry to let you down. I can barely write forwards. So I'm definitely not writing 00:10:35.768 --> 00:10:38.147 backwards. And I'm definitely not left-handed. 00:10:38.496 --> 00:10:40.324 So there should be your clue. 00:10:40.678 --> 00:10:44.308 And a lot of people will write in comments like, it looks like, 00:10:44.308 --> 00:10:47.878 because I'm not the only one recording these videos. They go on the IBM technology 00:10:47.878 --> 00:10:49.769 channel. So we have a lot of other IBMers on there. 00:10:50.100 --> 00:10:52.938 And somebody said, it looks like IBM only hires left-handed people. 00:10:53.818 --> 00:10:58.448 And I'm like, okay, that should be your clue. Yeah, that should be the clue 00:10:58.448 --> 00:11:02.728 that tells you, yeah, what we do is we record it. It looks backward if you're 00:11:02.728 --> 00:11:05.476 in the studio looking at this from the other side of the glass. 00:11:05.668 --> 00:11:08.458 And then the editor takes the video and then just flips it like this. 00:11:10.018 --> 00:11:15.148 And now magicians never supposed to tell, you know, how their magic is done. 00:11:15.148 --> 00:11:18.418 Now, you know, the secret and now you'll be able to, you know, 00:11:18.838 --> 00:11:21.198 no big deal. You know, that guy can't write backwards. 00:11:22.758 --> 00:11:26.388 But I did a video where I explained how we make the videos. 00:11:26.388 --> 00:11:26.578 Okay. 00:11:26.938 --> 00:11:31.078 And I love the comments on that. One after another is like, finally, I can sleep. 00:11:31.958 --> 00:11:36.418 This was such relief for people who had been working on this in their head. 00:11:36.758 --> 00:11:40.838 Smoke, mirrors, no, there's no smoke, no mirrors. Just a simple editing trick. 00:11:41.238 --> 00:11:45.118 And then that's how it comes out. So now you know how the sausage is made. 00:11:45.118 --> 00:11:49.058 I thought you had that board. I actually contacted the people where you write. 00:11:49.058 --> 00:11:52.768 And during the videos, it does like the reversed vision on there. 00:11:52.768 --> 00:11:56.018 Here, I thought you had like the $20,000 board. Now I have to tell everybody 00:11:56.018 --> 00:11:58.207 because I went to school and I said, I want one of these. 00:11:58.474 --> 00:12:01.488 If you give me one of these, my trainings are going to be better. I promise you. 00:12:01.518 --> 00:12:04.668 That's right. That's right. Well, there's something. It's really interesting 00:12:04.668 --> 00:12:10.388 there. We have the, I'll say the old fashioned board, the analog board in our 00:12:10.388 --> 00:12:15.720 studio, which is a piece of glass. And we're writing on the markers, aren't it with markers. 00:12:16.127 --> 00:12:22.148 There is a new technology that I have seen. In fact, we had an IBM Tech Exchange 00:12:22.148 --> 00:12:25.189 conference last year in Orlando, and I got to try this out. 00:12:25.410 --> 00:12:29.078 Digital boards, where you don't use markers, you use a stylus. 00:12:29.718 --> 00:12:31.656 And the stylus, as you're drawing... 00:12:32.283 --> 00:12:36.389 You know, you can just choose what color and the stylus will draw it in that color. 00:12:36.969 --> 00:12:43.329 You can also have animations that you put in and all that's done not during 00:12:43.329 --> 00:12:47.968 the post-production, which is what we have to do whenever you see animations in my videos. 00:12:48.473 --> 00:12:52.899 I'm pointing at stuff that's not there and having to pretend it's there and 00:12:52.899 --> 00:12:57.409 hoping the editor doesn't leave me looking foolish when I point at something 00:12:57.409 --> 00:13:00.157 that's not there. And every once in a while they do. 00:13:01.742 --> 00:13:06.829 So I love the digital boards and they're, you know, probably $30,000 or whatever, 00:13:06.829 --> 00:13:10.789 like you're talking about. So they're a lot. The analog boards are not as much. 00:13:11.109 --> 00:13:14.609 I mean, they're, I don't know, I don't know for sure. It depends on the size, 00:13:14.969 --> 00:13:17.329 but it's a fraction of that cost for sure. 00:13:18.349 --> 00:13:22.869 You know, less than $10,000 for most of them. But here's the downside of the 00:13:22.869 --> 00:13:27.889 analog boards that people don't think about is that there's one thing you never 00:13:27.889 --> 00:13:30.879 see us do in those videos. Erase. 00:13:30.879 --> 00:13:31.009 Mm. 00:13:32.142 --> 00:13:36.071 Okay, this is not like a dry erase board where, you know, you fill up the space 00:13:36.071 --> 00:13:40.623 and then you can just erase it and then you can reuse the space. No, this is a glass. 00:13:40.925 --> 00:13:44.781 So when you try to erase on it, it smears. 00:13:44.781 --> 00:13:45.231 Smudges, yeah. 00:13:45.631 --> 00:13:48.431 Then you get to erase it again. Then you get to erase it again. 00:13:48.751 --> 00:13:51.911 It's like, you know, five minutes of erasing to clear the board. 00:13:52.651 --> 00:13:55.771 And nobody wants to watch you do that on camera. 00:13:55.771 --> 00:13:56.011 Yeah. 00:13:56.351 --> 00:14:01.061 So that's why I don't recommend those for live presentations. 00:14:01.061 --> 00:14:01.391 Yeah. 00:14:02.077 --> 00:14:05.007 You know, you would have the problem, you need to flip it, but, 00:14:05.315 --> 00:14:07.585 you know, that can be done with the camera. 00:14:07.846 --> 00:14:14.101 But the digital board would allow you to do those kind of things and do them more in real time. 00:14:14.101 --> 00:14:17.371 And then the other thing that's different is, you know, if you think about the 00:14:17.371 --> 00:14:22.061 board space is this big, well, I'm taking up a third of it with me being in 00:14:22.061 --> 00:14:26.251 whatever section I'm in. And you don't want to write over your face. That looks really dull. 00:14:26.751 --> 00:14:31.221 And that's a rookie mistake. You'll see the people who are rookies writing on 00:14:31.221 --> 00:14:33.731 their face because to them, they're just looking at it. 00:14:34.231 --> 00:14:37.071 And you do that on a regular dry erase board. 00:14:37.574 --> 00:14:40.421 But on these, you want to use the margins, you know, the sides, 00:14:40.421 --> 00:14:45.241 or either you stand over to the side and put it all here. So there's a whole lot I've learned. 00:14:45.241 --> 00:14:45.751 Good Lord. 00:14:45.751 --> 00:14:47.951 And a lot of mistakes I've made along the way. 00:14:48.491 --> 00:14:50.071 Not to mention all the topics. 00:14:51.191 --> 00:14:51.451 Yes. 00:14:53.091 --> 00:14:58.301 When you're thinking about teaching these difficult topics, because you go from 00:14:58.301 --> 00:15:01.391 everything. I know you're an expert in cybersecurity, is that correct? 00:15:01.391 --> 00:15:02.731 Yeah, that's my main thing. 00:15:02.911 --> 00:15:08.411 But then you have to talk about everything else that encompasses tech. 00:15:08.951 --> 00:15:12.681 I've seen you've talked about quantum computing and everything. 00:15:12.681 --> 00:15:13.023 Yeah. 00:15:13.371 --> 00:15:17.447 When you go to build out these, and this is, I guess, like a really... 00:15:18.253 --> 00:15:23.979 Hard thing for teachers, is trying to tease out what's the most important, 00:15:25.459 --> 00:15:29.529 what is it that they really need to know, and how can you get it in a place 00:15:29.529 --> 00:15:32.039 where everyone's going to understand? 00:15:32.719 --> 00:15:39.339 What's your trick? Because I think you are quite the experienced educator when it comes to that. 00:15:40.659 --> 00:15:44.999 Well, thank you. I'll tell you, there's a lot of learning I had to do, 00:15:45.539 --> 00:15:49.159 and other people taught me, and then I learned from mistakes that I made as 00:15:49.159 --> 00:15:54.539 well, that it's different when you're in YouTube land than when you're in the 00:15:54.539 --> 00:15:58.883 classroom or when you're at a conference presenting. And I do all of those. 00:16:00.179 --> 00:16:03.519 We're used to, you know, if you've got a classroom, you've got a captive audience. 00:16:03.959 --> 00:16:05.553 So they kind of have to be there. 00:16:06.643 --> 00:16:10.479 If you're in YouTube land, you've got about 15 seconds. 00:16:10.479 --> 00:16:14.989 And if you don't grab them, They're out the door Onto the next video So one 00:16:14.989 --> 00:16:18.219 of the things That you can't do And I see this as a rookie mistake People will 00:16:18.219 --> 00:16:21.059 start these videos And they're standing there And they're introducing their 00:16:21.059 --> 00:16:25.108 topic And just talking So then it's just a talking head And a black background, 00:16:25.760 --> 00:16:30.335 Again, you're losing people. They are not walking. They are running for the 00:16:30.335 --> 00:16:34.676 exits at that point because YouTube land is short attention span. 00:16:35.465 --> 00:16:40.905 So that's the thing I had to learn to adjust on is that I need to get something 00:16:40.905 --> 00:16:43.085 happening on the board, something for people to look at. 00:16:43.525 --> 00:16:46.575 They don't want to just look at this. I mean, nobody wants to look at this. 00:16:46.802 --> 00:16:50.675 So I need to give them something else to distract them and, you know, 00:16:50.675 --> 00:16:56.735 watch this, you know, give them some bright, shiny object to engage them and 00:16:56.735 --> 00:16:58.510 then try to keep things moving. 00:16:58.852 --> 00:17:02.265 Because the videos, some of these are less than 10 minutes. 00:17:03.085 --> 00:17:06.495 I try not to ever get them beyond 15, but sometimes, you know, 00:17:06.495 --> 00:17:09.058 every once in a while they'll go longer. But, you know, if you're in a classroom, 00:17:09.325 --> 00:17:11.895 you've got them for an hour or two hours or something like that. 00:17:11.895 --> 00:17:16.325 So when I'm teaching at NC State University, I mean, I've got the hour. 00:17:17.185 --> 00:17:24.015 Or longer. And my approach is different, where you don't just take your PowerPoints 00:17:24.015 --> 00:17:27.725 or your slides and then put them onto that format. 00:17:28.125 --> 00:17:31.610 It doesn't work that way. So there's a lot of rethinking you have to do. 00:17:32.385 --> 00:17:35.365 One of the things that occurred to me as saying, I didn't come up with this, 00:17:35.365 --> 00:17:39.465 but I really love it, because we're trying to go for brevity, 00:17:39.465 --> 00:17:44.465 but still have something that as substantive is that if I'd had, 00:17:44.465 --> 00:17:46.905 it would have, I'd have made it shorter if I'd had more time. 00:17:48.225 --> 00:17:50.162 Which seems counterintuitive, of course. 00:17:50.676 --> 00:17:55.795 You know, I can put together a one-hour PowerPoint presentation with less time 00:17:55.795 --> 00:17:59.745 than it takes me to put together a 10-minute lightboard presentation. 00:17:59.745 --> 00:18:01.105 Lightboards are what we call those things. 00:18:01.696 --> 00:18:04.845 Because I got to figure all the things I'm taking out and what's going to be 00:18:04.845 --> 00:18:09.125 the flows and what's going to be the color of markers I use and how am I going to lay them out? 00:18:09.125 --> 00:18:13.785 Because I don't want to spend time, you know, even little things like capping 00:18:13.785 --> 00:18:17.834 and uncapping the markers that we've all been taught to do so they won't dry out. 00:18:18.293 --> 00:18:20.145 Nobody wants to listen to you go, hurry. 00:18:21.405 --> 00:18:24.905 As you're doing that with these markers. So I always tell the rookies, 00:18:24.905 --> 00:18:29.082 take the caps off and put them somewhere else so you're not even tempted to do that. 00:18:29.433 --> 00:18:33.155 And line your markers up in the order in which the colors you're going to use 00:18:33.155 --> 00:18:36.125 them and try to make the colors mean something. 00:18:36.865 --> 00:18:40.915 And sometimes I'll change in my script and say, okay, no, I need to switch to 00:18:40.915 --> 00:18:45.705 a different color because I've overused that one. Or here I want red to mean 00:18:45.705 --> 00:18:47.545 this and green to mean that, this sort of thing. 00:18:48.065 --> 00:18:51.975 So there's a lot that goes into it. But for me to do a 15-minute video, 00:18:51.975 --> 00:18:57.065 usually two to three hours, I would say on average, sometimes longer, 00:18:57.405 --> 00:19:02.182 of just trying to come up with a general script and outline for a 15-minute video. 00:19:03.005 --> 00:19:09.618 Yeah, that makes sense. Well, I think it was the most recent one on the humanities that you put out. 00:19:10.485 --> 00:19:12.965 I watched that last night because Kelly sent it to me. 00:19:12.965 --> 00:19:15.285 Oh, good. So I found somebody that did. 00:19:15.665 --> 00:19:16.265 I loved it. 00:19:16.785 --> 00:19:17.305 You're the one. 00:19:17.305 --> 00:19:20.105 Yeah, I was the one who said, how are you writing backwards? 00:19:21.125 --> 00:19:22.225 Yeah, right, right, right. 00:19:22.225 --> 00:19:24.715 Actually, that was the first video, because I watched a few of your videos now, 00:19:24.715 --> 00:19:27.215 and that was the first one where I kind of went, wait a minute, 00:19:27.215 --> 00:19:28.234 did he just ride backwards? 00:19:29.165 --> 00:19:32.865 Yeah. That was the first one that even triggered. But no, I think, 00:19:34.114 --> 00:19:38.166 like, that one was so, it hit home a lot with me because, you know, 00:19:38.485 --> 00:19:42.182 last week I gave an AI presentation down in Sydney, and... 00:19:43.099 --> 00:19:45.926 This is the kind of stuff I brought into it, where I said, look, 00:19:46.094 --> 00:19:51.219 the human aspect, the experience, the lived experience, our understanding of 00:19:51.219 --> 00:19:54.289 literature and just human history and knowledge, our, 00:19:55.208 --> 00:19:58.759 experience as humans is not replicated by AI. 00:19:58.759 --> 00:20:02.509 It's not there. It's just this database of information, right? 00:20:02.509 --> 00:20:07.729 So I won't repeat what you said, but it was just such a enlightening, 00:20:08.569 --> 00:20:13.389 well put together talk that part of me was like, I should have just shown them 00:20:13.389 --> 00:20:19.229 this last week because it was exactly what I try to articulate, but I couldn't. 00:20:20.827 --> 00:20:25.794 First of all, have you had any feedback on that video specifically? 00:20:25.794 --> 00:20:31.044 Because that was one that wasn't overly technical and more about our experience 00:20:31.044 --> 00:20:34.564 as human beings. And I loved it for that reason, because I'm the mindset guy. 00:20:34.564 --> 00:20:37.954 But yeah, so tell me, any feedback on that one? 00:20:37.954 --> 00:20:42.410 Yeah, yeah. And I'll even tell you the story behind why I decided to do that one in particular. 00:20:43.434 --> 00:20:46.894 So you're right. My background is cybersecurity. That's my PhD. 00:20:47.574 --> 00:20:52.114 And that's what I do in my day job. It's what I teach. I've also had an abiding 00:20:52.114 --> 00:20:56.414 interest in AI ever since I was an undergrad student back in my computer science 00:20:56.414 --> 00:20:59.714 days, a thousand years ago, writing my dinosaur to class. 00:21:00.174 --> 00:21:06.614 So as AI finally became real, I was like, wow, at long last, 00:21:07.074 --> 00:21:12.684 the thing that is so fascinating to me is AI and cybersecurity. 00:21:12.684 --> 00:21:15.814 So a lot of times I'll do videos that talk about the cross-section, 00:21:16.134 --> 00:21:17.832 the confluence of those two topics. 00:21:18.057 --> 00:21:24.174 But there's enough things in AI that, to me, I thought a lot of people are missing the point on. 00:21:25.394 --> 00:21:30.074 I love what AI can do, and I hate what AI can do because it can do some amazing 00:21:30.074 --> 00:21:31.942 things and it can do some awful things. 00:21:33.014 --> 00:21:37.097 Any dual-use technology is like that, can do good, can do bad. 00:21:37.409 --> 00:21:43.914 Well, so I was doing a talk for the University of North Florida University talking 00:21:43.914 --> 00:21:49.711 about AI and jobs and this kind of subject, and in particular... 00:21:50.193 --> 00:21:53.901 Talking about how we need to, as educators, in fact, there's a video I have 00:21:53.901 --> 00:21:55.601 on AI and the future of education, 00:21:56.321 --> 00:22:01.421 where I make a very unpopular stance that instead of us saying, 00:22:01.421 --> 00:22:06.171 keep AI out of the classroom, you know, because the fear is if we let students 00:22:06.171 --> 00:22:09.551 use AI, then they're not going to learn anything. They're just going to copy and paste. 00:22:09.935 --> 00:22:13.141 Valid fear. But we're going to have to get over that. 00:22:13.561 --> 00:22:19.791 We're going to have to adapt to that. Because as I asked my students last semester, 00:22:19.791 --> 00:22:24.101 I said, how many of you, and this is college level, how many of you have a professor 00:22:24.101 --> 00:22:27.321 that ever said you can't use a calculator in class? 00:22:28.633 --> 00:22:32.611 And they all laughed. I mean, nobody does that. Now, if you're in elementary 00:22:32.611 --> 00:22:35.101 school and you haven't shown proficiency 00:22:35.421 --> 00:22:38.343 with arithmetic, absolutely you shouldn't be using a calculator. 00:22:38.661 --> 00:22:42.681 But once you've got proficiency, you should use the tools that are available to you. 00:22:43.226 --> 00:22:48.591 If we require students not to use the tools, the best tools available to them, 00:22:48.591 --> 00:22:50.656 then we're preparing them for the jobs of yesterday. 00:22:51.421 --> 00:22:54.238 And they will not be suited for the jobs of today and tomorrow. 00:22:54.523 --> 00:22:58.197 Because their boss is never going to come to them and say, I want you to do 00:22:58.614 --> 00:23:03.241 X, Y, and Z and don't use AI. No boss is going to say that. 00:23:03.681 --> 00:23:05.656 So why would I as a teacher say that? 00:23:06.921 --> 00:23:11.161 Now, there's a whole lot about how we should use AI in the classroom. 00:23:11.161 --> 00:23:14.723 And a lot of people are doing a lot of thought on this. I'm not saying I have all the answers. 00:23:15.200 --> 00:23:18.881 What I'm convinced of, absolutely convinced, is that we can't say no to this. 00:23:19.461 --> 00:23:23.461 We have to figure out how to incorporate it as a tool, just like we did with 00:23:23.461 --> 00:23:25.463 calculators, just like we've done with a lot of things. 00:23:26.424 --> 00:23:31.330 So I was giving that talk to University of North Florida, and it came to the Q&A session. 00:23:31.810 --> 00:23:34.550 And of course, I've been talking about using AI throughout all of this. 00:23:35.010 --> 00:23:37.350 And someone raised their hand. Now, I'm doing this remotely, 00:23:37.350 --> 00:23:39.636 so I can't really see all that well who it is. 00:23:40.710 --> 00:23:44.652 And she said, I'm an English professor here, and how dare you? 00:23:46.030 --> 00:23:47.330 And I was like, uh-oh. 00:23:48.950 --> 00:23:53.520 She said, why would students ever read these great works of literature if they 00:23:53.520 --> 00:23:56.810 could just go to AI and ask it, you know, essentially for the summary. 00:23:56.810 --> 00:24:00.308 And I was like, okay, all right, all right. Yeah. You raise a good point. 00:24:01.410 --> 00:24:04.250 And I tried to answer it as best I could during, in the moment. 00:24:04.790 --> 00:24:10.617 And I think I gave a passable answer, but what she said really stuck with me 00:24:10.900 --> 00:24:14.630 because I thought, yeah, there is a lot more to this. 00:24:15.250 --> 00:24:18.980 And I can imagine if I was an English teacher, I'd be feeling very marginalized 00:24:18.980 --> 00:24:22.760 in all of this STEM, STEM, STEM for everything, you know, Science, 00:24:22.760 --> 00:24:24.131 technology, engineering, and math. 00:24:24.990 --> 00:24:28.800 That's everything. And then I got to thinking, yeah, you know what? 00:24:28.800 --> 00:24:33.668 AI doesn't know what to do. We tell it what to do. 00:24:34.190 --> 00:24:39.790 I mean, once we tell it, it will go do it. But we decide what and we decide why. 00:24:40.690 --> 00:24:44.046 And why is a question of meaning and purpose. 00:24:44.644 --> 00:24:48.790 And you know what you don't learn in calculus class is purpose. 00:24:49.235 --> 00:24:53.580 What you don't learn in computer science class is meaning. What you don't learn 00:24:53.580 --> 00:24:58.810 in, you know, all of these STEM classes in engineering are the whys. 00:24:59.690 --> 00:25:04.800 So if we're going to guide this AI, we need to be, and now that we have this 00:25:04.800 --> 00:25:08.950 tool that is so powerful, we need to be really careful about the why before 00:25:08.950 --> 00:25:10.818 we turn this monster loose. 00:25:11.390 --> 00:25:16.610 And so my contention, and that's what this video is about, is that the humanities 00:25:16.610 --> 00:25:21.796 have never been more important than they are today because the humanities are where we learn the why. 00:25:22.203 --> 00:25:24.942 You know, where do we learn, first of all, what's true and what isn't? 00:25:25.761 --> 00:25:31.247 Well, that's philosophy. You know, that's where we look at logical proofs and things like that. 00:25:32.107 --> 00:25:36.657 Where do we learn, you know, about man's humanity against man and these kinds 00:25:36.657 --> 00:25:38.550 of eternal struggles? Well, that's in literature. 00:25:39.003 --> 00:25:44.187 You know, where do we learn about the past so that we don't keep making the 00:25:44.187 --> 00:25:46.328 same mistakes in the future? Well, that's history. 00:25:46.828 --> 00:25:51.977 And I could go on. You know, those are all humanities, and those are all incredibly 00:25:51.977 --> 00:25:54.587 important in how we wield this tool. 00:25:55.067 --> 00:25:59.638 So that was what motivated me. So my hat is off to that English professor. 00:25:59.848 --> 00:26:03.227 And I even called her out when I posted to LinkedIn. I said special thanks to 00:26:03.227 --> 00:26:08.346 her for motivating me on this topic because I believe that. Now, 00:26:08.509 --> 00:26:11.603 some of the commenters really liked it, okay? 00:26:12.127 --> 00:26:16.917 Some of them said, oh, great, here we go. Another liberal. We have too many 00:26:16.917 --> 00:26:19.807 of those in our education. I was like, what in the world? 00:26:20.567 --> 00:26:25.357 This was not a political statement. The humanities are something. 00:26:25.357 --> 00:26:28.777 I mean, one guy even made a comment about, yeah, here we go. 00:26:28.787 --> 00:26:31.827 Another God in the gaps argument. That didn't hold up well or something. 00:26:32.207 --> 00:26:37.237 And I said to him back, the reason you even know about that reference is because of the humanities. 00:26:37.237 --> 00:26:39.847 Oh, nice. Excellent. 00:26:40.527 --> 00:26:42.567 So anyway, so many. 00:26:42.567 --> 00:26:47.337 So many thoughts. And I wish I had the whole time just to go into all the things 00:26:47.337 --> 00:26:49.461 in my head. Two things, though. 00:26:51.353 --> 00:26:57.468 AI, I just got sent yesterday or last night, an English teacher sent me a notebook 00:26:57.468 --> 00:27:02.328 LM. It's an idea he's going to try, I guess, and coming up. And he put the telltale 00:27:02.328 --> 00:27:04.698 heart in there. And, you know, and everybody raids this short story. 00:27:05.098 --> 00:27:10.578 And all the English teachers are, like, diving deep into the hidden analogies 00:27:10.578 --> 00:27:14.008