E43 - Are AI Jobs the FUTURE of Work or a Threat to Human Employment?

AI's Impact on Jobs & Cybersecurity: Off The Wire Podcast Special Edition

In this special edition of Off The Wire, IT executives Tanner and Anthony dive deep into a discussion on the impact of artificial intelligence (AI) on the job market and cybersecurity. With 35 years of combined experience, they share personal insights, debate differing viewpoints, and explore the potential future of AI in various industries. They also discuss advice for the younger generation, the role of regulation, and practical use cases of AI in current workflows. Tune in for an engaging conversation packed with expert opinions and thought-provoking questions about the evolving tech landscape.

00:00 Introduction to Off The Wire

00:20 Today's Unique Format

01:18 Diving into AI's Impact on Jobs

01:56 Advice for the Next Generation

04:16 AI in Cybersecurity

06:01 The Double-Edged Sword of AI

08:40 Challenges and Limitations of AI

18:46 Real-World AI Applications

23:16 AI's Current Limitations and Future Potential

23:50 The Challenge of Knowledge Transfer

24:53 AI in the Workplace: Opportunities and Hurdles

27:04 The Future of AI and Human Adaptation

30:01 Speculations on AI's Long-Term Impact

34:44 Embracing AI: Strategies for Success

43:04 Final Thoughts and Call to Action

Episode Transcript

(00:00):
Welcome to Off The Wire, the podcast that helps you curb your cybersecurity risk and tackle technology challenges.
I'm Tanner and I'm joined by Anthony.
We're two IT executives with 35 years of experience.
Let's start the show.
welcome back everyone to Off The Wire.
Today we're gonna do something a little bit different.

(00:22):
We're actually just gonna discuss a single topic, not a lot of outline, just kind of go back and forth and kind of hear each other's opinions on something that I think everyone is talking about.
But, uh, maybe we haven't talked about as much on the show, but before we jump into that, if you're not subscribed already, make sure you subscribe.
it's the best way for you to be able to find our content.

(00:43):
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(01:03):
So Anthony, we are doing something different tonight.
We, We decided to kind of just bring up a topic and go to work talking about it. 16 00:01:11,414.666666667 --> 00:01:18,24.666666667 I think originally it was kind of your thought on this episode, so you want to introduce what we're gonna be talking about and get us started. 17 00:01:18,74.666666667 --> 00:01:25,709.666666667 Yeah, so we're gonna discuss AI and what we think the impact on the job market is gonna be and, and really all aspects. 18 00:01:26,504.666666667 --> 00:01:30,174.666666667 I do get the feeling that, Tanner and I probably won't see a hundred percent eye to eye. 19 00:01:30,174.666666667 --> 00:01:49,194.66666667 I'm sure there's gonna be some common ground that we, uh, to share this is something that really, it's been on my mind quite a bit just where I've got a daughter that's 18 years old and I mean, I've got some that are a few years older and a few years younger I really think about the impact of AI and, how's it gonna impact our children? not so much worried about myself. 20 00:01:49,354.66666667 --> 00:01:56,669.66666667 I'm not saying it's not a little bit worried out there, you know, maybe 15, 20 years from now, but really about our children and which direction that goes. 21 00:01:56,669.66666667 --> 00:02:04,189.66666667 And, you know, talking to my daughter and giving her advice on what jobs to take you might be surprised at some of the things I've, I've told her. 22 00:02:04,689.66666667 --> 00:02:06,999.66666667 Yeah, so I mean, dive into that a little bit, Anthony. 23 00:02:06,999.66666667 --> 00:02:15,699.66666667 I mean, a young daughter as well, and, so it's a little bit, I guess she's a little ways away from, deciding her career path, but, we know a AI is gonna be an impact. 24 00:02:15,799.66666667 --> 00:02:16,909.66666667 we already see impact. 25 00:02:16,959.66666667 --> 00:02:24,524.66666667 I think it's in what we do specifically, and I'm not saying every industry, I think some industries are already more impacted than other industries. 26 00:02:25,49.66666667 --> 00:02:27,179.66666667 but in what we do, I think we're seeing impact. 27 00:02:27,179.66666667 --> 00:02:30,929.66666667 It's not, I would say drastic, and I don't know when drastic is. 28 00:02:30,929.66666667 --> 00:02:34,829.66666667 That could be a year from now, or or 20 or who knows. 29 00:02:34,929.66666667 --> 00:02:42,149.66666667 so what do you tell her there? are you just giving her only, her advice on like only roles that you think won't be impacted, or are you, Yeah. 30 00:02:42,179.66666667 --> 00:02:45,944.66666667 how do you give her advice? Well, I've been pretty fortunate because. 31 00:02:46,574.66666667 --> 00:02:54,914.66666667 she's looking at the healthcare industry and she's looking, at becoming a nurse and maybe even doing like a nurse practitioner, after she gets her hours in. 32 00:02:55,274.66666667 --> 00:03:01,154.66666667 But I told her up front, so anyone that wants to be a nurse, like you can't just jump into school and get accepted into nursing program. 33 00:03:01,154.66666667 --> 00:03:03,714.66666667 Like there's, a wait time everywhere you go. 34 00:03:03,714.66666667 --> 00:03:15,904.66666667 And I was telling her just upfront, I was like, don't be upset when you start, going to UNCW and just can't immediately get into the nursing program We went through orientation and stuff, and they made it blatantly obvious that you can't do that. 35 00:03:15,904.66666667 --> 00:03:20,714.66666667 there's 200 to 300 applicants every semester, and they only accept 60 anyways. 36 00:03:20,794.66666667 --> 00:03:29,734.66666667 she said, well, maybe I should just go for, computer science, or it, and surprisingly I suggested, I don't know that I would do that. 37 00:03:30,219.66666667 --> 00:03:31,869.66666667 I don't know that I would do that right now. 38 00:03:31,869.66666667 --> 00:03:33,639.66666667 any job that you know. 39 00:03:34,374.66666667 --> 00:03:37,154.66666667 There's like physical interaction, you know, I feel like it's safe. 40 00:03:37,494.66666667 --> 00:03:45,29.66666667 I think there's ways that, they can leverage AI to help those positions, but there's a lot of jobs that, they will impact more so than others. 41 00:03:45,29.66666667 --> 00:03:55,89.66666667 And surprisingly enough, I went to the doctor just, a couple days ago and, he's a pa and he's got a son that just graduated and somehow we got to talking about ai. 42 00:03:55,589.66666667 --> 00:03:58,139.66666667 I was like, well, I said, at least she's going for the healthcare industry. 43 00:03:58,169.66666667 --> 00:03:58,889.66666667 Like she's safe. 44 00:03:58,889.66666667 --> 00:04:01,229.66666667 And he is like, yeah, I think a nurse might be safe. 45 00:04:01,229.66666667 --> 00:04:08,489.66666667 He's like, but a job like mine, he was concerned about, you know, PAs down the road and anyways, we gotta talk about regulation and stuff like that. 46 00:04:08,569.66666667 --> 00:04:11,419.66666667 I think there's a lot of people out there that have a little concern. 47 00:04:11,419.66666667 --> 00:04:15,639.66666667 I've heard it from lawyers, from doctors, technical people. 48 00:04:15,789.66666667 --> 00:04:16,359.66666667 I do think. 49 00:04:16,859.66666667 --> 00:04:17,609.66666667 Cybersecurity. 50 00:04:17,724.66666667 --> 00:04:21,594.66666667 I see a lot of people that are in cybersecurity that are looking for jobs, which is kind of scary. 51 00:04:21,624.66666667 --> 00:04:30,114.66666667 'cause you know, it was just six months ago to a year ago, we're seeing that there's a national shortage for cybersecurity people, which I didn't really agree with when I saw that article. 52 00:04:30,144.66666667 --> 00:04:35,804.66666667 'cause I knew a lot of people were looking for jobs in cyber, but I think it's somewhere between, they are using ai. 53 00:04:36,254.66666667 --> 00:04:40,44.66666667 To streamline, how many people they need in like a SOC and stuff like that. 54 00:04:40,544.66666667 --> 00:04:44,144.66666667 And it's in conjunction, it's them outsourcing, overseas. 55 00:04:44,474.66666667 --> 00:04:51,164.66666667 So I, it's really hard to say how much of an impact AI is having on cybersecurity right now, with the outsourcing happen at the same time. 56 00:04:51,164.66666667 --> 00:04:53,174.66666667 But I do think there's an impact right now on it. 57 00:04:53,234.66666667 --> 00:04:54,254.66666667 I just don't know how much it is. 58 00:04:54,754.66666667 --> 00:04:58,534.66666667 Yeah, I mean, there's definitely an impact. 59 00:04:58,564.66666667 --> 00:04:59,584.66666667 I think it's hard to say. 60 00:04:59,634.66666667 --> 00:05:06,614.66666667 at least from my perspective, there are things as I've, as we're learning more about AI at work, there are. 61 00:05:07,424.66666667 --> 00:05:17,779.66666667 Things that I, feel like AI is there's almost like a binary response, There's either completely blown away or they're frustrated that it's not working Yeah. 62 00:05:18,214.66666667 --> 00:05:21,724.66666667 I feel like I get a lot of like, oh my gosh, I can't believe how much time that saved me. 63 00:05:22,564.66666667 --> 00:05:26,804.66666667 And then the same thing, and the same breath almost, or maybe even the next prompt. 64 00:05:26,924.66666667 --> 00:05:27,374.66666667 I get it. 65 00:05:27,374.66666667 --> 00:05:29,24.66666667 I'm like, oh my gosh, it doesn't understand me. 66 00:05:29,369.66666667 --> 00:05:36,89.66666667 Doesn't understand what I want or it does, but it's like too wordy and even the other day I was doing something that, really did save me some time. 67 00:05:36,89.66666667 --> 00:05:50,664.66666667 I would say probably saved me an hour, but it's not the a hundred XI think that sometimes people claim, like I had to do, I had to have it rework, like some questions I was coming up with, and kind of an outline and. 68 00:05:51,164.66666667 --> 00:05:52,214.66666667 did save me like an hour. 69 00:05:52,494.66666667 --> 00:05:55,214.66666667 but I still spent like, I would say like 40 minutes. 70 00:05:55,314.66666667 --> 00:06:00,504.66666667 I had to back and forth with it prompts, you know, changing certain things, reworking questions. 71 00:06:01,344.66666667 --> 00:06:09,574.66666667 I have found also, and this is just my personal opinion, but there's still, at least in LLMs, large language models, there's still an innate like. 72 00:06:10,399.66666667 --> 00:06:21,199.66666667 even when I get a response, I can almost like, and calling anybody out, so if you're listening, not calling you out if you do this, we, you know, we use AI to help us, with our social media posts and stuff too. 73 00:06:21,199.66666667 --> 00:06:28,29.66666667 But you can very easily tell someone that has a social media post completely written by, I mean, I can spot it. 74 00:06:28,239.66666667 --> 00:06:29,709.66666667 It's almost like there's a blinking light. 75 00:06:29,769.66666667 --> 00:06:30,519.66666667 I can see it. 76 00:06:30,549.66666667 --> 00:06:31,569.66666667 I can see exactly. 77 00:06:31,569.66666667 --> 00:06:34,709.66666667 And just using LLMs enough that it sticks out. 78 00:06:34,709.66666667 --> 00:06:43,979.66666667 And what I have found, and maybe this is kind of another topic, enjoy using AI to help me, but I don't enjoy seeing AI content. 79 00:06:44,819.66666667 --> 00:06:45,119.66666667 Yeah. 80 00:06:45,989.66666667 --> 00:06:51,479.66666667 Like, I think it helps me, but if it helps somebody else and their content, I completely blow through those stuff. 81 00:06:52,229.66666667 --> 00:06:56,99.66666667 when I see like a post completely generated by ai, like blow through it. 82 00:06:56,729.66666667 --> 00:06:58,769.66666667 I just like, eh, whatever, go to the next one. 83 00:06:59,39.66666667 --> 00:07:10,459.66666667 To me, I like, I want the original thought and maybe we're just, you know, kind of in an early form of ai, but it, I feel like there's still, it feels like the original thought. 84 00:07:11,254.66666667 --> 00:07:14,314.66666667 Is us, and it's basically playing a game of copycat with us. 85 00:07:14,314.66666667 --> 00:07:14,674.66666667 Yeah. 86 00:07:14,764.66666667 --> 00:07:15,954.66666667 way at all? Yeah. 87 00:07:15,954.66666667 --> 00:07:23,794.66666667 But also I think a little bit is, and I've seen courses out there for prompt engineering courses, literally just learning to do prompts. 88 00:07:23,794.66666667 --> 00:07:32,504.66666667 And, we saw, a thing in the news, it's been a while back, but I believe it was the Shopify CEO basically instructing, he had a memo to all his employees. 89 00:07:32,554.66666667 --> 00:07:33,4.66666667 they need to be. 90 00:07:33,649.66666667 --> 00:07:34,639.66666667 Learning ai. 91 00:07:34,669.66666667 --> 00:07:42,874.66666667 And I don't know that he called out prompt engineering, but I think that's what he was looking for, is, you need to be able to leverage AI and you're right. 92 00:07:42,874.66666667 --> 00:07:49,714.66666667 So like when I, the telltale sign on, social medias, you'll see like the little icons, you know, that link or, IG BT does. 93 00:07:49,714.66666667 --> 00:07:52,444.66666667 And if I see those, I'm automatically just not reading it. 94 00:07:53,154.66666667 --> 00:07:53,834.66666667 Or hyphens. 95 00:07:53,834.66666667 --> 00:07:54,644.66666667 The long hyphen. 96 00:07:55,454.66666667 --> 00:07:55,724.66666667 Yeah. 97 00:07:55,724.66666667 --> 00:07:56,774.66666667 A lot of long hyphens. 98 00:07:56,774.66666667 --> 00:07:57,194.66666667 Yeah. 99 00:07:57,554.66666667 --> 00:08:02,874.66666667 It, it's, there's some telltale signs and, not that I, I just don't want to see AI completely generated. 100 00:08:02,874.66666667 --> 00:08:06,504.66666667 I could, the other day I was, totally, you know, unrelated to what we do as work. 101 00:08:06,504.66666667 --> 00:08:11,634.66666667 But I was reading an article on a hobby, and at the bottom it actually just said, AI generated. 102 00:08:12,354.66666667 --> 00:08:16,314.66666667 And I know this sounds crazy, but I actually just discounted everything that I read. 103 00:08:16,814.66666667 --> 00:08:17,534.66666667 I literally did. 104 00:08:17,534.66666667 --> 00:08:19,934.66666667 I was like, yeah, I'm not gonna like give that the credence. 105 00:08:20,684.66666667 --> 00:08:22,364.66666667 So there is something there. 106 00:08:22,414.66666667 --> 00:08:29,344.66666667 you know, I don't know if we're just on the precipice of that being better, or if we're just gonna get to a point where we can't recognize it. 107 00:08:29,354.66666667 --> 00:08:31,34.66666667 there is something like warmer. 108 00:08:31,64.66666667 --> 00:08:43,324.66666667 I feel like that humans, write, and I don't know how to describe it when you can tell, at least now with the current generation tech we have, you can kind of tell, If they use it as a help to them, you basically can't tell. 109 00:08:44,104.66666667 --> 00:08:49,234.66666667 If they use it to completely generate it, it's very obvious and it feels very hollow and it doesn't sound warm to me. 110 00:08:49,734.66666667 --> 00:08:50,694.66666667 You a little bit. 111 00:08:50,844.66666667 --> 00:08:52,524.66666667 I think for the most part, you're right. 112 00:08:52,554.66666667 --> 00:08:59,4.66666667 A lot of it though, I think is the lack of knowledge and, you know, generating, you know, information from ai. 113 00:08:59,564.66666667 --> 00:09:00,494.66666667 we actually. 114 00:09:00,804.66666667 --> 00:09:15,909.66666667 trained one, it was kind of a, we didn't use this in any form or fashion, like officially, but I trained one to basically imitate someone I knew and did a lot of training on it and, basically said the location, the position of the person. 115 00:09:16,719.66666667 --> 00:09:17,909.66666667 And, you wouldn't confuse the two. 116 00:09:17,919.66666667 --> 00:09:25,559.66666667 don't get me wrong, but if you didn't know that person and you were to talk to that chat client, would think that it's a real person, a little more so than not. 117 00:09:25,989.66666667 --> 00:09:32,779.66666667 I found a thing on Reddit that I was using it and for a different purpose than the people on Reddit were using it for. 118 00:09:32,779.66666667 --> 00:09:41,519.66666667 They had prompt training to make the AI sound so human that they couldn't get caught cheating in school, I believe was the use case. 119 00:09:41,999.66666667 --> 00:09:44,839.66666667 I just wanted something that didn't sound like an ai, Yeah. 120 00:09:44,899.66666667 --> 00:09:46,159.66666667 Text that I pumped out. 121 00:09:46,159.66666667 --> 00:09:50,779.66666667 So I utilized that and, you know, I would use it for some things. 122 00:09:50,779.66666667 --> 00:09:54,19.66666667 And when you, when you would read it, I mean, it would even dumb itself down. 123 00:09:54,49.66666667 --> 00:09:55,39.66666667 level words and stuff. 124 00:09:55,804.66666667 --> 00:09:55,894.66666667 And. 125 00:09:55,939.66666667 --> 00:10:00,794.66666667 I, I've found it, for me at least, if I need like a little more warmth in it, I actually. 126 00:10:01,294.66666667 --> 00:10:04,894.66666667 will add on and be very human-like to the prompt. 127 00:10:05,614.66666667 --> 00:10:20,734.66666667 And that's whenever you do see it, and you're right, it is it's just, it's a very catch 22 thing because we want to use AI to enhance our abilities, right? There's a lady that works with me that is a very good writer, and I joke around, I say, Hey, we'll just call her Anne. 128 00:10:21,304.66666667 --> 00:10:23,704.66666667 I say, AI makes me sound like Anne. 129 00:10:24,514.66666667 --> 00:10:26,539.66666667 'cause she's just such a good writer, right? Yeah. 130 00:10:26,839.66666667 --> 00:10:36,794.66666667 But then, you know, at the same time, like if it's not us and people that know, you, know, you, I mean, like, you're not gonna get a, you're not gonna be like, pull a, quick one over on him. 131 00:10:37,514.66666667 --> 00:10:42,169.66666667 oh, Anthony all of a sudden got a lot smarter, or he got a, you know, he doesn't make any grammar mistakes anymore. 132 00:10:42,199.66666667 --> 00:10:43,729.66666667 He used to make 'em like every other email. 133 00:10:43,729.66666667 --> 00:10:43,999.66666667 Right. 134 00:10:43,999.66666667 --> 00:10:53,999.66666667 But, so people that know you and then, like, how do you feel about that? There's, think there's just a lot of different, like, responses to people that use AI to help them in their job. 135 00:10:54,549.66666667 --> 00:11:05,459.66666667 I think there's some people that almost like the work cause they feel like you're almost taking a shortcut or kind of like cheating, right? You're like, oh, this wasn't really you. 136 00:11:05,639.66666667 --> 00:11:07,679.66666667 But I mean, it impact is gonna be there. 137 00:11:07,729.66666667 --> 00:11:08,89.66666667 I don't know. 138 00:11:08,89.66666667 --> 00:11:18,549.66666667 Someone told me, I don't know where I heard this on as a previous mentor or what, but I heard someone say that I really have kept in my head that things are never as good as they seem and they're never as bad as they seem. 139 00:11:18,939.66666667 --> 00:11:23,709.66666667 that if someone predicts AI is gonna take over, you know, let's say 20% of roles. 140 00:11:23,709.66666667 --> 00:11:27,334.66666667 I think I've heard, and you correct me if I'm wrong, but I've heard 20% of jobs within 10 years. 141 00:11:27,334.66666667 --> 00:11:29,764.66666667 That's feels like the number I've heard or something around there. 142 00:11:29,824.66666667 --> 00:11:35,464.66666667 20, maybe it could be different depending on the person, but it seems like that's, I'm gonna call it like the reasonable take. 143 00:11:35,974.66666667 --> 00:11:36,264.66666667 Yeah. 144 00:11:36,454.66666667 --> 00:11:42,344.66666667 it could be 30, you know, we got five years as a society to live and there's people that say, this is 30 years out. 145 00:11:42,504.66666667 --> 00:11:44,64.66666667 somewhere in the middle is where we'll land. 146 00:11:44,184.66666667 --> 00:11:47,244.66666667 I'm sure it won't be 30 years out, and I'm sure it won't be next year. 147 00:11:47,484.66666667 --> 00:11:50,474.66666667 I have found that typically is the way things kind of flush out. 148 00:11:50,734.66666667 --> 00:11:51,664.66666667 they definitely happen. 149 00:11:51,664.66666667 --> 00:11:56,44.66666667 I, have no, I'm not naive to think that like there's not gonna be impact from ai. 150 00:11:56,44.66666667 --> 00:11:57,454.66666667 They're a hundred percent will, but. 151 00:11:58,219.66666667 --> 00:12:01,29.66666667 Will it be as big as some people claim? Probably not. 152 00:12:01,669.66666667 --> 00:12:05,539.66666667 will it be somewhere in the middle somewhere that really nobody knows? Probably. 153 00:12:06,39.66666667 --> 00:12:15,549.66666667 but at the same time, at least for us now, I can't speak for everyone in every role, in every career, but for us, we literally are not able to get all that we need to get done. 154 00:12:15,549.66666667 --> 00:12:19,319.66666667 So least for now, we see it as a blessing. 155 00:12:19,439.66666667 --> 00:12:20,389.66666667 we're thinking to ourselves. 156 00:12:21,499.66666667 --> 00:12:23,339.66666667 There's a hundred percent of what we wanna do. 157 00:12:23,459.66666667 --> 00:12:28,79.66666667 Maybe we're getting, I'm, I'm gonna of course, quote a numbers 70% of what we want to do done. 158 00:12:28,769.66666667 --> 00:12:30,389.66666667 need that other 30% done too. 159 00:12:31,109.66666667 --> 00:12:33,629.66666667 So this is, this could be a game changer in that regard. 160 00:12:33,629.66666667 --> 00:12:46,119.66666667 one thing that recently has happened too, and I, I didn't know this until, it was actually, our executive assistant was telling me about the, the one big beautiful bill and, you know, that's, a lot of news about that. 161 00:12:46,119.66666667 --> 00:12:55,189.66666667 But one of the things in there, there was a thing on ai, Yeah, basically where they can't roll out any laws or regulations to curtail ai. 162 00:12:55,549.66666667 --> 00:13:02,689.66666667 You know, I know there's already existing stuff in place, but, you know, that's something I think about and, you know, people like, that's a pretty big deal. 163 00:13:02,689.66666667 --> 00:13:08,739.66666667 And just thinking about the, the Hollywood writers that were striking, you know, a couple years ago, do you remember that Tanner where. 164 00:13:08,834.66666667 --> 00:13:17,824.66666667 had ai, like you can't use AI to, I don't, I can't remember the specifics in it, but there was something in there where they didn't want the use of AI to be writing stuff Yeah. 165 00:13:18,189.66666667 --> 00:13:19,419.66666667 and that was a few years ago. 166 00:13:19,449.66666667 --> 00:13:24,309.66666667 And think about it like that was pretty smart of them to be thinking about that at the time. 167 00:13:25,39.66666667 --> 00:13:28,589.66666667 do you think, how much of an impact do you think regulation is gonna. 168 00:13:29,89.66666667 --> 00:13:31,999.66666667 I would say that I think there's gonna be some regulation. 169 00:13:32,499.66666667 --> 00:13:42,59.66666667 I don't know to extent what it'll be because I also, maybe this is just a pessimistic view of society, but typically if there's money to be made in something, people gonna jump at that. 170 00:13:42,59.66666667 --> 00:13:42,209.66666667 you know. 171 00:13:42,509.66666667 --> 00:13:56,584.66666667 I've seen a lot of critique of Sam Altman right now, because, early on in his, open AI career, he talked about how he, felt like they were gonna, be nonprofit, how they were gonna kind of be the AI that's the good of the world. 172 00:13:56,584.66666667 --> 00:13:58,84.66666667 And now, now that there's. 173 00:13:58,584.66666667 --> 00:13:59,844.66666667 substantial money to be made. 174 00:13:59,844.66666667 --> 00:14:03,534.66666667 It seems like, he may be changing course there, somewhat. 175 00:14:03,534.66666667 --> 00:14:10,374.66666667 So it's tough for me to, lean on the morality of society to regulate it to a point that it might need to be. 176 00:14:11,64.66666667 --> 00:14:12,534.66666667 At the same time, I don't know. 177 00:14:12,534.66666667 --> 00:14:17,579.66666667 I mean, every time I feel like throughout history, I try to be an optimist and a pessimist at the same time. 178 00:14:17,634.66666667 --> 00:14:20,144.66666667 I try to basically look through that lens with. 179 00:14:20,754.66666667 --> 00:14:31,954.66666667 any important decision in my life? Like, what's the worst that could happen? What's the best that could happen? Throughout history, have been many, many times someone thought the entire world human race would be wiped out. 180 00:14:32,504.66666667 --> 00:14:34,94.66666667 uh, there was an industrial revolution. 181 00:14:34,574.66666667 --> 00:14:41,384.66666667 Uh, you know, literally, at one point in society, every single person or nearly every single person farmed. 182 00:14:41,884.66666667 --> 00:14:43,564.66666667 And now we don't do that anymore. 183 00:14:43,924.66666667 --> 00:14:44,224.66666667 Yeah. 184 00:14:44,794.66666667 --> 00:14:53,44.66666667 a good example I heard the other day is prior to 2005, or really, realistically, mobile app developer wasn't even a job that existed. 185 00:14:53,164.66666667 --> 00:14:54,334.66666667 And that's 20 years ago. 186 00:14:54,814.66666667 --> 00:14:59,44.66666667 we're only talking about 20 years ago there were jobs now that didn't exist 20 years ago. 187 00:14:59,854.66666667 --> 00:15:18,574.66666667 Are there other jobs out there? Are there things that we wanna accomplish as a human race or as human beings? That we haven't been able to accomplish for whatever reason, because we don't have maybe the time or ability to, and someone's gonna say, well, you know, AI could think of the ideas for us. 188 00:15:19,74.66666667 --> 00:15:19,584.66666667 I don't know. 189 00:15:19,589.66666667 --> 00:15:27,69.66666667 I'm curious to see, kind of where we go with ai, but I still think that genius of AI is actually. 190 00:15:28,14.66666667 --> 00:15:34,824.66666667 The combination and kind of collection of human knowledge, and human to thought and human discussion. 191 00:15:35,544.66666667 --> 00:15:40,944.66666667 I read an article the other day that talked about how there was trouble. 192 00:15:41,14.66666667 --> 00:15:53,204.66666667 they were having trouble training LLMs on synthetic data that they were running out of, original data, like original Reddit threads and 'cause there's only so many made per day Twitter, so on and so forth. 193 00:15:53,969.66666667 --> 00:15:55,619.66666667 they needed like a lot more to train. 194 00:15:55,619.66666667 --> 00:16:02,819.66666667 So they were actually starting to create synthetic data sets to train the models on, and the performance was way worse. 195 00:16:03,29.66666667 --> 00:16:10,59.66666667 Like not getting what, they were not getting the, you know, the effect of having those human conversations to lean on. 196 00:16:10,779.66666667 --> 00:16:11,409.66666667 so I don't know. 197 00:16:11,459.66666667 --> 00:16:12,659.66666667 I think I'm in the middle, I think. 198 00:16:13,364.66666667 --> 00:16:24,784.66666667 Right now, there's a lot of, and to me, AI can help enhance and take care of, a lot of those like easy things, but easy, but time consuming things is maybe the way I'll put it. 199 00:16:24,784.66666667 --> 00:16:33,234.66666667 And then obviously some advanced stuff too, but why do we do analysis? why do we think about, cybersecurity, like some sort of cybersecurity, initiative that we're doing. 200 00:16:33,234.66666667 --> 00:16:40,234.6666667 It's because there's something out there we're trying to respond to are we at a point where we kind of say, Hey, ai, I'm trying to run a cybersecurity thing. 201 00:16:40,234.6666667 --> 00:16:47,794.6666667 What do I need to focus on? is AI gonna have the conversations with the vendors? maybe when we get to agent based ai, that's a situation. 202 00:16:48,139.6666667 --> 00:16:48,439.6666667 Yeah. 203 00:16:48,739.6666667 --> 00:16:51,724.6666667 is AI gonna implement the software? Maybe, I don't know. 204 00:16:51,724.6666667 --> 00:17:00,744.6666667 I mean, we're definitely, in my opinion, and I'm sure I'll be wrong on the exact year, I feel like we're still a ways away from that kind of level. 205 00:17:00,804.6666667 --> 00:17:09,354.6666667 But far as being able to collect your thoughts, being able to organize yourself, being able to even do analysis, of those other things. 206 00:17:09,854.6666667 --> 00:17:10,514.6666667 we're close. 207 00:17:10,514.6666667 --> 00:17:11,504.6666667 I don't know that we're there yet. 208 00:17:11,504.6666667 --> 00:17:15,334.6666667 We've been doing some testing, with, trying to do simple language query. 209 00:17:15,664.6666667 --> 00:17:20,674.6666667 And I'm gonna be honest, we've been really disappointed, where AI is right now. 210 00:17:20,794.6666667 --> 00:17:29,310.9166667 there is nothing like you can train Ai on data, and maybe that's part of the problem is like AI is trained on such a small subset of human data. 211 00:17:29,554.6666667 --> 00:17:30,844.6666667 Maybe that's a better way to say it. 212 00:17:31,594.6666667 --> 00:17:34,144.6666667 Because it's trained on conversations we have online. 213 00:17:34,234.6666667 --> 00:17:45,749.6666667 And yes, some of that is some of that is like, you know, I think the big things, right? Like how do I plumb a house, right? Or how do I fix a toilet? Maybe that's, you know, had been had online. 214 00:17:45,749.6666667 --> 00:18:10,844.6666667 But to me, like when you get into, like, at least in our field, a lot of those conversations have never been had What data set? I think in your, like, you know, just thinking maybe, you know, from my, from our perspective as co-ops, what data set has anyone put out on the internet talking about, what kind of, you know, resiliency we wanna put in our grid and where our outages are in relation and why we need to certain. 215 00:18:11,749.6666667 --> 00:18:17,179.6666667 put additional, I guess, you know, either do some additional work to certain circuits to increase reliability. 216 00:18:17,179.6666667 --> 00:18:18,769.6666667 That conversation's never been had online. 217 00:18:19,269.6666667 --> 00:18:23,589.6666667 It's like that's an AI data set that does not exist, like ChatGPT doesn't know about that. 218 00:18:24,369.6666667 --> 00:18:27,519.6666667 couldn't tell me anything about most of our systems. 219 00:18:27,849.6666667 --> 00:18:31,154.6666667 and even to train it on our systems is almost impossible. 220 00:18:31,884.6666667 --> 00:18:46,684.6666667 unless you wanna spend an, an egregious amount of money, doing a private AI model and then actually training on the data, but then it doesn't understand the data and you're having to describe the data, I would just say like, we have been disappointed with how fast we could move on that regard. 221 00:18:46,684.6666667 --> 00:18:56,214.6666667 And we think this is like probably one of the most powerful things for us that we want to use AI for is being able to have people do analysis with just simple questions For example, right. 222 00:18:56,244.6666667 --> 00:18:57,294.6666667 That would be a great example. 223 00:18:57,354.6666667 --> 00:19:00,84.6666667 Like our engineers sitting there is we need to increase reliability. 224 00:19:00,524.6666667 --> 00:19:09,304.6666667 in this particular district, what are the top 10 ways we can do it and what's the most, dollar to, value ratio we can get? can't do that right now. 225 00:19:09,594.6666667 --> 00:19:10,554.6666667 I would love to do that. 226 00:19:10,554.6666667 --> 00:19:11,364.6666667 I think that's awesome. 227 00:19:11,364.6666667 --> 00:19:15,364.6666667 And then we could take more time actually doing it, doing those things. 228 00:19:15,364.6666667 --> 00:19:15,424.6666667 I. 229 00:19:16,144.6666667 --> 00:19:19,544.6666667 Less time, thinking about that, but I don't know. 230 00:19:19,544.6666667 --> 00:19:20,294.6666667 We're not there yet. 231 00:19:20,294.6666667 --> 00:19:23,504.6666667 I'm, that could be a year from now for all I know, or two years. 232 00:19:24,494.6666667 --> 00:19:27,794.6666667 I'm impressed every day and then I'm frustrated in some ways every day. 233 00:19:28,44.6666667 --> 00:19:30,594.6666667 We've been trying to do some training. 234 00:19:30,774.6666667 --> 00:19:35,874.6666667 On our own data with our local AI model, which I know you guys have too. 235 00:19:36,564.6666667 --> 00:19:48,54.6666667 And not gonna lie, like it had a lot of hallucinations, but I've seen enough times where it did work and I was just completely baffled how efficient it was. 236 00:19:48,594.6666667 --> 00:19:55,704.6666667 one was just the very first time I messed with data was with, ChatGPT, and it was synthetic. 237 00:19:55,704.6666667 --> 00:19:56,664.6666667 It was data that. 238 00:19:57,34.6666667 --> 00:20:05,424.6666667 I downloaded like it was a table and I copied it and put it into a spreadsheet and it was people traveling and, you know, it was a huge list. 239 00:20:05,424.6666667 --> 00:20:21,354.6666667 And looking at it, you know, like, I was like, okay, this is just a bunch of travel dates for people, you know, and it talked about the flight and where they were going to and from and looking at it, you know, I couldn't make a whole lot out of it, but I pumped it in ChatGPT and had it run analytics against it. 240 00:20:22,164.6666667 --> 00:20:31,314.6666667 what things do you see? do you see anything wrong with this? And, basically just what kind of trends and analysis do you see from this? I can't recall what the trends were, but it was pretty impressive. 241 00:20:31,314.6666667 --> 00:20:34,414.6666667 It was talking about the people that are, doing the most and stuff like that. 242 00:20:34,954.6666667 --> 00:20:40,844.6666667 But when I asked the discrepancies, out of this huge list, there was someone that was double booked on a flight. 243 00:20:41,609.6666667 --> 00:20:49,109.6666667 another example, we did a, uh, I, I'm trying to remember it, but it was basically our DNS logs from our active directory. 244 00:20:49,529.6666667 --> 00:20:55,769.6666667 And we had an internal IP that was hitting a Russian website. 245 00:20:56,189.6666667 --> 00:21:01,229.6666667 And we're trying to figure out, you know, one, who is it? And we had a couple people look through that log. 246 00:21:01,229.6666667 --> 00:21:02,189.6666667 Now, this log was huge. 247 00:21:02,189.6666667 --> 00:21:03,619.6666667 It was like a 1.7 248 00:21:03,619.6666667 --> 00:21:05,429.6666667 gig document, Yeah. 249 00:21:05,534.6666667 --> 00:21:25,84.6666667 And they looked for half hour, couldn't find the offending IP I pumped that thing into the AI and it found it within, like, it was under a minute, for, you know, cybersecurity, if you're looking through log files, tell me like, if it works and it's accurate, there's no way that ai, you know, a human could compete with ai. 250 00:21:25,464.6666667 --> 00:21:37,144.6666667 I challenge you on something? Yeah, what if it didn't find something? so now when that happened, I a hundred percent validated it in the text file, like I did not blindly. 251 00:21:37,174.6666667 --> 00:21:43,674.6666667 'cause when I saw it, I was like, I, I'm not trusting this blindly and that that's something that I think people can get lackadaisical on. 252 00:21:43,724.6666667 --> 00:21:43,944.6666667 Yep. 253 00:21:44,94.6666667 --> 00:21:45,504.6666667 And not double check their stuff. 254 00:21:45,534.6666667 --> 00:21:50,534.6666667 people doing stuff like, for social media posts, like you've gotta be checking everything Yep. 255 00:21:50,694.6666667 --> 00:21:51,454.6666667 you're pumping out. 256 00:21:52,364.6666667 --> 00:21:53,924.6666667 Yeah, that's a big thing for us. 257 00:21:53,974.6666667 --> 00:21:56,134.6666667 as we start to deploy more ai. 258 00:21:56,759.6666667 --> 00:21:57,779.6666667 the responsibility of work. 259 00:21:57,809.6666667 --> 00:21:58,99.6666667 Yeah. 260 00:21:58,204.6666667 --> 00:21:58,784.6666667 thing, Yeah. 261 00:21:59,284.6666667 --> 00:22:14,234.6666667 I see a lot of benefit now, at least in what we do, and even in the small medium business world, I think there are times in a job where you kind of have, a very like regular cadence to what you're doing, right? And then there are periodic times where you have to like scale out what you're doing. 262 00:22:14,789.6666667 --> 00:22:20,849.6666667 For a particular task and then kind of scale back down to a certain level, like log review, that would be a good example. 263 00:22:20,949.6666667 --> 00:22:29,769.6666667 I think if you're doing a lot of, policy creation, maybe proofreading, like there are certain times where it just feels like you could have seven people help you out and doing whatever you're doing. 264 00:22:30,269.6666667 --> 00:22:34,859.6666667 And then there's certain times where you're like, if someone is helping me out right now, I'd have to be explaining everything I'm doing to them. 265 00:22:35,169.6666667 --> 00:22:37,389.6666667 and I'm not saying we're not gonna, we are gonna improve. 266 00:22:37,389.6666667 --> 00:22:46,899.6666667 I mean, new AI is gonna be coming out, but for right now, the times where you have to scale yourself, where you're like, you wish you had 10 of yourself, AI is great at that. 267 00:22:47,229.6666667 --> 00:22:48,669.6666667 It is like superb. 268 00:22:48,669.6666667 --> 00:22:51,959.6666667 Any of that kind of stuff where it's you know, I wish I had, I need to write this thing. 269 00:22:51,959.6666667 --> 00:22:55,139.6666667 I wish I had three writers that worked for me and I wish I had someone to preread it. 270 00:22:55,139.6666667 --> 00:22:59,579.6666667 And then I wish I could just say yes or no on what they find on what product they put out. 271 00:23:00,104.6666667 --> 00:23:01,304.6666667 AI is awesome at that. 272 00:23:01,319.6666667 --> 00:23:05,864.6666667 I mean, it is, it can be sometimes five x, 10 x time savings. 273 00:23:06,364.6666667 --> 00:23:15,604.6666667 What I've found is we've all had a colleague come up to us and be like, Hey, can I help you out in something? You're like, you kind of know that, like if they helped you, it would only help you like 5% more. 274 00:23:16,264.6666667 --> 00:23:19,784.6666667 And for those times, I have not found AI to be beneficial yet. 275 00:23:19,784.6666667 --> 00:23:20,954.6666667 I'm not saying it won't get there. 276 00:23:21,114.6666667 --> 00:23:25,169.6666667 but there are times whenever, and, maybe that's specific to job role. 277 00:23:25,169.6666667 --> 00:23:26,839.6666667 I mean, there, there could be a lot of things there. 278 00:23:26,839.6666667 --> 00:23:44,219.6666667 But what I would, what I hope, at least what I hope for us, in our industry that we can take those times where we really need to scale ourselves and we can take more time for the time that really, know, what we're doing and where don't necessarily need 10 of ourselves. 279 00:23:44,409.6666667 --> 00:23:45,819.6666667 we can have more of that time. 280 00:23:45,869.6666667 --> 00:23:47,339.6666667 More strategic focus. 281 00:23:47,839.6666667 --> 00:23:50,299.6666667 because there's just a lot of things you have to explain. 282 00:23:50,299.6666667 --> 00:24:02,909.6666667 I was thinking the other day, we were working through an issue with payments and worked at the co-op 17 years and I don't know that I could accurately, explain all the different possible scenarios I've come across. 283 00:24:03,29.6666667 --> 00:24:08,219.6666667 I remember them, if they come up again, they like kind of pop up in my mind, but like, I don't think I could write it out in a book. 284 00:24:09,149.6666667 --> 00:24:09,689.6666667 Like right now. 285 00:24:09,689.6666667 --> 00:24:10,409.6666667 I couldn't write it out. 286 00:24:10,409.6666667 --> 00:24:22,89.6666667 I probably couldn't even write you two pages of stuff, but if it hits me, if I've experienced it in the past, like it's all of a sudden there's like an unlocked memory page, right? That unlocks like, oh yeah, I remember that, and then we did this, and this is what happens. 287 00:24:22,899.6666667 --> 00:24:25,509.6666667 right now I don't know how we tap into that. 288 00:24:26,9.6666667 --> 00:24:31,254.6666667 I think it would be kind of interesting to do that because I think it would really help with onboarding, you get a new person and. 289 00:24:32,34.6666667 --> 00:24:33,624.6666667 have so much experience walk out the door. 290 00:24:33,624.6666667 --> 00:24:36,474.6666667 We talk about this a lot in our world because people stay a long time. 291 00:24:37,344.6666667 --> 00:24:50,474.6666667 and it just feels like you kind of never get that like it take, or even if you do get it, it just takes like someone's gotta be there 10 years before they kind of get that, you know, that experience level that really like starts to like really impact and help their job. 292 00:24:50,474.6666667 --> 00:24:52,154.6666667 I mean, do you agree with that? No. 293 00:24:52,154.6666667 --> 00:24:52,484.6666667 Or. 294 00:24:53,204.6666667 --> 00:25:08,704.6666667 No, we've, we definitely have some of that, you know, we've got people that have been on the system for 30 plus years, we've got one person I know of where, he's built a lot of the infrastructure for our electrical grid or been part of it, and he's just got that core knowledge the guy's name's Dale. 295 00:25:08,704.6666667 --> 00:25:11,134.6666667 Like I can ask Dale something and he can spout it off. 296 00:25:11,134.6666667 --> 00:25:14,464.6666667 He's almost, he's, he's almost like a AI guy 'cause he remembers everything. 297 00:25:15,424.6666667 --> 00:25:20,19.6666667 Um, but you know, if I had to go look through the diagrams to find where something's at, good luck with that. 298 00:25:20,519.6666667 --> 00:25:26,899.6666667 Yeah, and there's just so much right now, I bet of what we need to be, what documentation we need to have. 299 00:25:27,19.6666667 --> 00:25:28,669.6666667 We have 10% of what we need. 300 00:25:29,169.6666667 --> 00:25:33,84.6666667 There's 90% of the stuff that we do on like an everyday basis that is not written down anywhere. 301 00:25:33,384.6666667 --> 00:25:33,684.6666667 Yeah. 302 00:25:34,29.6666667 --> 00:25:35,859.6666667 It is like built into people's minds. 303 00:25:35,859.6666667 --> 00:25:38,679.6666667 It's passed down from generation to generation. 304 00:25:38,679.6666667 --> 00:25:42,429.6666667 It's experience learned over the last like 10 years. 305 00:25:42,819.6666667 --> 00:25:44,229.6666667 I'm not saying that's a necessarily good thing. 306 00:25:44,229.6666667 --> 00:25:45,909.6666667 I think we need to document better than we do. 307 00:25:46,629.6666667 --> 00:25:50,219.6666667 But how would it, like right now, let's just say, would we have someone like. 308 00:25:50,778.4166667 --> 00:25:51,169.6666667 The problem. 309 00:25:51,169.6666667 --> 00:25:59,24.6666667 Like I said, the problem is I don't think you could take someone like you, you've dealt with so many things at Fort County, but I couldn't like take you a room and be like, tell me everything you dealt with at Fort County. 310 00:25:59,524.6666667 --> 00:26:01,114.6666667 Like it can't just be pulled like that. 311 00:26:01,114.6666667 --> 00:26:02,254.6666667 We're not a database. 312 00:26:03,154.6666667 --> 00:26:05,194.6666667 we kind of write some down periodically. 313 00:26:05,194.6666667 --> 00:26:07,294.6666667 We can't just do like a dump, brain dump. 314 00:26:07,354.6666667 --> 00:26:08,404.6666667 Alright, here's everything I know. 315 00:26:09,364.6666667 --> 00:26:12,904.6666667 It's unfortunate, I guess sometimes that that would be awful handy to remember something. 316 00:26:12,964.6666667 --> 00:26:25,364.6666667 You know, half the time we're like, what was that thing again? But how do you get that, how do you get that lost documentation, let's say, into a model? and that's where I see, I think we're getting there, but like there's still some hurdles to accomplish. 317 00:26:25,514.6666667 --> 00:26:31,994.6666667 I think it, at least like what we're seeing, generally across the board, I think there's. 318 00:26:32,339.6666667 --> 00:26:35,659.6666667 There's some amazing stuff happening, but it gets more specific, I think it gets tougher. 319 00:26:36,449.6666667 --> 00:26:38,399.6666667 maybe kind of like a bell curve, if that makes sense. 320 00:26:38,459.6666667 --> 00:26:38,789.6666667 Yeah. 321 00:26:38,909.6666667 --> 00:26:42,989.6666667 as we get kind of the early stuff, it was really hard as we're kind of getting into the meat of it. 322 00:26:43,419.6666667 --> 00:26:55,209.6666667 there's, it's getting easier and we're taking in like so much, but as we kind of like really drive that like blow you away value, that is where at least we are and what we've experienced so far. 323 00:26:55,509.6666667 --> 00:26:57,159.6666667 I'm not saying that won't change because. 324 00:26:58,29.6666667 --> 00:27:01,719.6666667 Things are changing, but just not, we don't see that there right now. 325 00:27:01,929.6666667 --> 00:27:03,309.6666667 Maybe it's tomorrow, I don't know. 326 00:27:04,794.6666667 --> 00:27:06,459.6666667 Yeah, I mean, we were talking earlier. 327 00:27:06,459.6666667 --> 00:27:06,879.6666667 Earlier. 328 00:27:06,879.6666667 --> 00:27:10,599.6666667 I do think as far as AI is concerned, we're in its infancy. 329 00:27:11,139.6666667 --> 00:27:26,939.6666667 there was a podcast that I was listen to, I listened to way too many podcasts, but, one I was listened to, it was, basically it was an entrepreneur and, a CEO and he had like thousands of hours and blog posts and like thousands of hours in YouTube videos. 330 00:27:27,539.6666667 --> 00:27:28,949.6666667 And so he had it like. 331 00:27:29,574.6666667 --> 00:27:37,144.6666667 basically transcribe all of his YouTube videos and then it would ingest his, data from his blogs. 332 00:27:37,144.6666667 --> 00:27:43,194.6666667 And he actually uses it kind of like a virtual version of himself to handle some of the smaller things. 333 00:27:43,199.6666667 --> 00:27:46,554.6666667 And as far as the training, I said the couple good examples. 334 00:27:46,554.6666667 --> 00:27:49,824.6666667 I can give you some terrible examples in which AI. 335 00:27:50,184.6666667 --> 00:27:53,754.6666667 Said that it was telling me the truth, and I said, you're hallucinating, stop hallucinating. 336 00:27:54,64.6666667 --> 00:27:58,204.6666667 and it would say, okay, I will reference your documentation and will not do that again. 337 00:27:58,594.6666667 --> 00:28:00,684.6666667 And it would still come up with a hallucination after that. 338 00:28:00,934.6666667 --> 00:28:04,744.6666667 I've seen the bad stuff and I don't trust anything that's coming out without validating it. 339 00:28:05,314.6666667 --> 00:28:09,294.6666667 But, just being in the early years, I don't think it's gonna be that much longer before we get there. 340 00:28:09,294.6666667 --> 00:28:10,884.6666667 Now, do I think it's gonna be a year? No. 341 00:28:11,844.6666667 --> 00:28:14,574.6666667 But I think in five years, that's gonna be a big thing. 342 00:28:14,579.6666667 --> 00:28:23,69.6666667 So I think with big companies, you know, a lot of them are gonna start having either local AI or cloud instances and be able to, to train off their data. 343 00:28:23,69.6666667 --> 00:28:29,609.6666667 And I was just thinking, you know, down the road, like the smaller companies were, you know, in some ways we are advanced, but in some ways we're not. 344 00:28:30,119.6666667 --> 00:28:40,679.6666667 But you know, I think for like small medium organizations, if we had, you know, if it was fiscally feasible, you know, to have a local AI and to train it and all of our stuff like that would be awesome. 345 00:28:40,679.6666667 --> 00:28:43,649.6666667 Like if, so Dale, I'll, I'll throw my Dale example now. 346 00:28:43,979.6666667 --> 00:28:44,459.6666667 Granted. 347 00:28:45,359.6666667 --> 00:28:55,109.6666667 Probably any percentage is in his Outlook account, but if it could ingest all of his Outlook emails and take that correspondence and have it, now, I'm not saying we would wanna do that for a lot. 348 00:28:55,109.6666667 --> 00:29:08,339.6666667 There's a lot of reasons why you wouldn't wanna do that, but you know, like there's some stuff where we've had some major construction and stuff, and that data is in Outlook, you know, like, and he references kinda like a, a filing cabinet between that. 349 00:29:08,399.6666667 --> 00:29:12,989.6666667 And you know, there's a whole lot of people where, you know, you can't record them with AI and stuff like that, but. 350 00:29:13,664.6666667 --> 00:29:31,454.6666667 Like if you had like all these meetings, like say we're like with our FIS migration that we did, our financial information system migration, if we had every single call, you know, had it transcribed by ai, could ask it questions like validate stuff like that would've been, that would be a huge help to kind of reference things. 351 00:29:31,484.6666667 --> 00:29:33,224.6666667 And then just all the changes we had. 352 00:29:33,494.6666667 --> 00:29:41,924.6666667 We didn't have one little, uh, hiccup where we made a bunch of permission changes and we didn't document it and they did an update and we lost. 353 00:29:42,899.6666667 --> 00:29:45,719.6666667 Some of those individual permissions and then we went, rolled it out. 354 00:29:45,719.6666667 --> 00:29:53,459.6666667 We had some permission issues, you know, but if we had like all these meetings recorded and stuff like that, and have that, like that would've been super easy to recover. 355 00:29:53,459.6666667 --> 00:29:57,899.6666667 Now granted, it's kinda like you said, like we just do a better job of documenting ourselves. 356 00:29:57,899.6666667 --> 00:30:01,799.6666667 But you know, like you said, we just don't have enough people to do everything we want to do. 357 00:30:01,799.6666667 --> 00:30:07,829.6666667 Let's play it out in a world, let's say the worst of the worst happens and AI starts taking everyone's job. 358 00:30:08,744.6666667 --> 00:30:17,54.6666667 Do you think humans would fight back by basically not recording their conversations? By like doing everything in person? Yeah, talking in person. 359 00:30:17,54.6666667 --> 00:30:18,974.6666667 Never putting anything in Outlook. 360 00:30:18,974.6666667 --> 00:30:23,264.6666667 Never putting anything in office chat, like forcing themselves to go analog. 361 00:30:23,264.6666667 --> 00:30:24,884.6666667 Like it made me think about it. 362 00:30:24,884.6666667 --> 00:30:28,874.6666667 There's a while back, Israel pulled off this thing where they. 363 00:30:29,504.6666667 --> 00:30:34,934.6666667 Blew up all the pagers of, uh, and I can't even remember the details now, but they created pagers. 364 00:30:34,964.6666667 --> 00:30:35,174.6666667 Yeah. 365 00:30:35,204.6666667 --> 00:30:39,164.6666667 Basically go off at a certain time that would, that would kill certain people. 366 00:30:39,644.6666667 --> 00:30:57,734.6666667 The reason they did that is because they got so advanced in hacking the cellular transmissions of this group, that the group actually went analog, and because they went back to analog pagers, it actually became more difficult to track them and to like intercept their conversations and to figure out what was going on. 367 00:30:58,229.6666667 --> 00:31:02,339.6666667 So let's just say, I don't know, let's say we get, we get into Terminator. 368 00:31:02,339.6666667 --> 00:31:06,479.6666667 We're Terminator Skynet, it's, it's taken over. 369 00:31:07,469.6666667 --> 00:31:10,949.6666667 Is that, do we fight, do humans fight back that way? I guess, I don't know. 370 00:31:11,489.6666667 --> 00:31:24,29.6666667 Yeah, like I see what you're saying and you know, there's instances of that, but I guess, I guess it depends on where we're at, but just the, we could go back to pen and paper any day and you know, if you have some natural disaster or. 371 00:31:25,79.6666667 --> 00:31:27,899.6666667 You get hacked, you may be forced to go back to pen and paper. 372 00:31:28,709.6666667 --> 00:31:31,409.6666667 The reason we don't do that is just because it's so inefficient. 373 00:31:31,919.6666667 --> 00:31:32,309.6666667 Yeah. 374 00:31:32,369.6666667 --> 00:31:38,369.6666667 But could we, you know, think about it, like wouldn't humans make themselves less efficient? I don't know. 375 00:31:38,579.6666667 --> 00:31:44,909.6666667 At the same time, maybe the flip side of that is that makes AI even more efficient, right? Yeah. 376 00:31:45,134.6666667 --> 00:31:45,814.6666667 I was getting like. 377 00:31:47,159.6666667 --> 00:31:48,569.6666667 Five x return. 378 00:31:48,569.6666667 --> 00:31:51,899.6666667 Now everything I'm doing is getting a 10 x return because of the inefficiency. 379 00:31:52,349.6666667 --> 00:31:52,769.6666667 I don't know. 380 00:31:52,769.6666667 --> 00:31:56,129.6666667 I mean, I think there does need to be a discussion on healthy regulation. 381 00:31:56,429.6666667 --> 00:32:01,919.6666667 I don't know where it is, and maybe this is just me being pessimistic about the world. 382 00:32:02,129.6666667 --> 00:32:10,79.6666667 I was talking with my dad about this a while back and it's like we're getting to a point in our world where if someone states something, someone writes an article. 383 00:32:10,919.6666667 --> 00:32:14,729.6666667 I just saw a, a podcast about a guy who says he believes that. 384 00:32:15,314.6666667 --> 00:32:18,884.6666667 You know, he needs to talk about AI because he thinks like the worst of the worst is gonna happen. 385 00:32:19,184.6666667 --> 00:32:26,864.6666667 Are we getting so cynical or so pessimistic about the world that I don't honestly know that I hardly can believe anyone? Yeah. 386 00:32:27,44.6666667 --> 00:32:41,684.6666667 I'm like, I'm trying to, I'm sitting here and I see that thing come up, and then the back of my mind goes to what's his angle? What's his angle? Was he like ostracized by the community? Does he feel like he really deserves more credit for it than he did? And so now he's gonna try to make more of a name for himself. 387 00:32:41,684.6666667 --> 00:32:43,124.6666667 I think about politicians a lot and. 388 00:32:43,649.6666667 --> 00:32:47,519.6666667 A lot of times they say stuff they don't even believe because they just like want more clout. 389 00:32:47,999.6666667 --> 00:32:55,679.6666667 And I've began to wonder if, have we gotten to a point where like the selfish desires of an individual person are so that like it's hard to understand what to believe. 390 00:32:56,369.6666667 --> 00:32:59,459.6666667 Do we just not, we almost don't believe anything that is said. 391 00:32:59,939.6666667 --> 00:33:10,19.6666667 And so it's like hard to know are we in a lot better place with AI or are we in like a lot worse place than a with ai? Because I don't know that I can believe anyone that's published anything about it. 392 00:33:10,199.6666667 --> 00:33:11,549.6666667 Does that make sense? I don't know. 393 00:33:11,849.6666667 --> 00:33:12,239.6666667 Yeah. 394 00:33:12,764.6666667 --> 00:33:16,364.6666667 One of the positive things, and I, I've heard, I've heard it both ways. 395 00:33:16,364.6666667 --> 00:33:19,574.6666667 I've heard doom and gloom and I've heard positive things talk about this. 396 00:33:19,574.6666667 --> 00:33:26,144.6666667 And like I said, I listen to way too many podcasts, but I don't think this is, uh, too controversial. 397 00:33:26,144.6666667 --> 00:33:34,124.6666667 But the, a lot of the countries, I, I don't think the United States is, is impacted right now, but the people today are not having as many kids. 398 00:33:34,214.6666667 --> 00:33:41,234.6666667 And in certain countries I've heard, especially with like China where they had the one child rule and uh, even Russia. 399 00:33:41,894.6666667 --> 00:33:44,354.6666667 There's several countries where they just don't have enough young people. 400 00:33:44,984.6666667 --> 00:33:54,254.6666667 And if, you know, even in the US like, you know, I, I think, you know, if you look at the amount of boomers versus, you know, the whatever generation we're on now, like there's just a lot less of them. 401 00:33:55,124.6666667 --> 00:34:01,34.6666667 And you know, for right now, I, I'd look at AI's gotta be looked at as, as a positive thing. 402 00:34:01,214.6666667 --> 00:34:07,454.6666667 And the, and there, there was always the talk, you know, before ai, like people were talking about the population dwindling. 403 00:34:07,889.6666667 --> 00:34:12,539.6666667 You know, and it causing issues, especially in certain countries, not so much the US but some of the other countries. 404 00:34:13,349.6666667 --> 00:34:19,529.6666667 And this is the, you know, the invention, the genius that's gonna help, you know, kind of bridge that gap. 405 00:34:19,619.6666667 --> 00:34:26,489.6666667 'cause you know, I don't think, it's no secret everyone agrees that, you know, AI can be a force multiplier in some aspects. 406 00:34:26,759.6666667 --> 00:34:27,59.6666667 Yeah. 407 00:34:27,179.6666667 --> 00:34:30,359.6666667 So, like, short term, like I do kind of side on that. 408 00:34:30,359.6666667 --> 00:34:33,629.6666667 Like I, I hate to see someone automated out of a job. 409 00:34:34,214.6666667 --> 00:34:43,154.6666667 But you know, with less younger people like ai, you know, may help us get by and continue to, to carry the torch and progress. 410 00:34:43,454.6666667 --> 00:34:44,714.6666667 I mean, I agree with you. 411 00:34:44,714.6666667 --> 00:34:56,834.6666667 I think, I don't know, I, we've talking, we were talking before we even started this, and this has been interesting conversation by the way, but we've talked about before to kind of break things down into maybe like work intermediate long term. 412 00:34:57,434.6666667 --> 00:35:00,14.6666667 So short to me, I would say maybe it was five years. 413 00:35:00,674.6666667 --> 00:35:06,194.6666667 Intermediate would be maybe like five to 15, and then long term would be, let's call it plus 15. 414 00:35:07,34.6666667 --> 00:35:07,904.6666667 Short term. 415 00:35:09,134.6666667 --> 00:35:10,664.6666667 There's definitely gonna be impact. 416 00:35:11,114.6666667 --> 00:35:15,254.6666667 I think exactly what you're talking about is gonna be huge. 417 00:35:15,254.6666667 --> 00:35:27,854.6666667 I think we're still a lot to learn, and I know AI agents are becoming a thing, and in reality, like there's been a lot of improvements in ai, I would say in the last couple years, but it still hasn't been the drastic jump. 418 00:35:27,929.6666667 --> 00:35:30,149.6666667 Yeah, it's gotten a lot more accurate. 419 00:35:30,149.6666667 --> 00:35:32,879.6666667 Like, uh, we've gotten more accurate, we can do more. 420 00:35:32,879.6666667 --> 00:35:34,409.6666667 There's a lot more different types of models. 421 00:35:34,409.6666667 --> 00:35:40,949.6666667 So I think there has been a huge jump, but I think compared to maybe some of the doomers early on, it hasn't been as much as that. 422 00:35:40,949.6666667 --> 00:35:41,9.6666667 Yeah. 423 00:35:41,69.6666667 --> 00:35:43,199.6666667 But it also hasn't been, you know, insignificant. 424 00:35:43,799.6666667 --> 00:35:49,764.6666667 So I think short term there's gonna be us learning about what really is possible, the intermediate term. 425 00:35:49,889.6666667 --> 00:35:51,179.6666667 I see a lot of what you're talking about. 426 00:35:51,179.6666667 --> 00:35:52,709.6666667 I mean, you're gonna see people retire. 427 00:35:53,579.6666667 --> 00:36:13,319.6666667 And you know, I, I think maybe either if they can't find or I think about co-ops especially, but any type of small medium business organization, sometimes you can't find how mean, how many times have you heard that? Like, we can't find someone for this role because it's like too specialized and they don't wanna live out in the middle of nowhere or just last week be advantage. 428 00:36:13,904.6666667 --> 00:36:14,624.6666667 Yeah, there you go. 429 00:36:15,14.6666667 --> 00:36:23,984.6666667 Is that gonna be an advantage? Like maybe we can help someone who maybe doesn't have quite the talent become so we still hire someone, we just aren't able, we're not hiring that expert. 430 00:36:23,984.6666667 --> 00:36:31,4.6666667 We're allowing AI to help us like create the expert or at least offset some of that long term. 431 00:36:31,4.6666667 --> 00:36:34,4.6666667 I think there is gonna be some pretty drastic impact. 432 00:36:34,814.6666667 --> 00:36:36,194.6666667 I'll go back to my story. 433 00:36:36,764.6666667 --> 00:36:41,144.6666667 I just, I don't think I'm in a position and I don't think many people, almost nobody. 434 00:36:42,314.6666667 --> 00:36:56,984.6666667 Is it in a position to tell you what things will look like in 25 years? I think anytime someone tells you what something's gonna be like in 25 years with like utmost certainty, I think you almost can basically completely discount them because it's just the world doesn't work that way. 435 00:36:57,284.6666667 --> 00:37:04,604.6666667 So I don't know where we'll go, but I am a firm believer that like there are problems to be solved that we're not solving now. 436 00:37:04,904.6666667 --> 00:37:08,54.6666667 And so if we can spend more time solving that. 437 00:37:08,894.6666667 --> 00:37:13,964.6666667 Or even if AI helps us solve some of those problems, if we can have those people enact the solutions. 438 00:37:14,624.6666667 --> 00:37:19,184.6666667 Like I, I, you know, and I'm not saying robots, I've seen some of the robotics stuff too. 439 00:37:19,184.6666667 --> 00:37:20,144.6666667 It's come a long way. 440 00:37:20,144.6666667 --> 00:37:27,464.6666667 Uh, there's been some really cool stuff come out in robotics recently, but it's still, it is not the, the same right now. 441 00:37:27,524.6666667 --> 00:37:28,664.6666667 I think we're even farther off. 442 00:37:28,694.6666667 --> 00:37:30,74.6666667 Maybe I'll put it this way. 443 00:37:30,314.6666667 --> 00:37:32,834.6666667 I think we're farther off with robotics than we are with ai. 444 00:37:33,584.6666667 --> 00:37:33,644.6666667 Yeah. 445 00:37:33,644.6666667 --> 00:37:34,154.6666667 If that makes sense. 446 00:37:34,184.6666667 --> 00:37:35,714.6666667 So I still think there's gonna be. 447 00:37:36,194.6666667 --> 00:37:41,54.6666667 There's gotta be a lot of doing the solutions even if AI is doing a lot of analysis. 448 00:37:41,834.6666667 --> 00:37:50,684.6666667 Also, to your point, you gotta be checking up on behind stuff you need like that, that industry knowledge to like verify at least that it's in the ballpark. 449 00:37:51,164.6666667 --> 00:37:51,614.6666667 I don't know. 450 00:37:51,824.6666667 --> 00:38:01,874.6666667 I think, I think I'll settle on what I settled is at The impact is gonna be longer than a lot of people think before it happens and shorter than many others. 451 00:38:02,384.6666667 --> 00:38:04,394.6666667 I think there will definitely be impact, but I. 452 00:38:04,964.6666667 --> 00:38:23,894.6666667 I heard in a podcast recently, and it wasn't specifically talking about ai, but it said, human beings, this is, I'm paraphrasing, human beings are terrible at preventing what's coming, but we're experts at adapting to what is happening that basically, like we are not, like if AI's coming, we're not gonna prevent AI from happening. 453 00:38:24,344.6666667 --> 00:38:28,874.6666667 We're terrible at that kind of stuff, but we're very, very good at adapting to different circumstances. 454 00:38:29,114.6666667 --> 00:38:33,554.6666667 Um, and that's where I think, that's where I'll kind of leave us, at least with me, is. 455 00:38:34,409.6666667 --> 00:38:35,429.6666667 I think we will adapt. 456 00:38:35,429.6666667 --> 00:38:37,409.6666667 I don't know how that adaptation looks like. 457 00:38:37,799.6666667 --> 00:38:41,369.6666667 I don't know what that conversation looks like, but maybe, I don't know. 458 00:38:41,369.6666667 --> 00:38:46,499.6666667 Who knows? Maybe my kids' kids, we go back to farming and we just live a simple life. 459 00:38:47,339.6666667 --> 00:38:48,359.6666667 Um, we grow on food. 460 00:38:48,359.6666667 --> 00:38:52,739.6666667 I mean, and maybe that's where it is and we just leave all that other stuff along. 461 00:38:52,919.6666667 --> 00:38:53,429.6666667 I don't know. 462 00:38:53,489.6666667 --> 00:38:58,379.6666667 I don't know where we head and, and where we land, but I know one thing that I don't know exactly what's gonna happen. 463 00:38:59,9.6666667 --> 00:38:59,69.6666667 Yeah. 464 00:38:59,834.6666667 --> 00:39:06,674.6666667 There's a, a couple things short term I've, I've heard some discussion on, have you, have you heard the term vibe coding? Vibe coding? No, I haven't heard that one. 465 00:39:06,794.6666667 --> 00:39:15,224.6666667 So it's the term for basically using AI to code, just like either by speaking it or telling it what you want to do, and it just generates the code. 466 00:39:15,974.6666667 --> 00:39:22,934.6666667 Now granted, I, that's one of those things where if you don't know how to code, like how are you double checking that? Stuff like that. 467 00:39:22,964.6666667 --> 00:39:23,204.6666667 Yeah. 468 00:39:23,324.6666667 --> 00:39:24,404.6666667 You know, what's actually happening. 469 00:39:25,64.6666667 --> 00:39:28,634.6666667 That and uh, just, I think like prompt engineering, I, I do think. 470 00:39:28,934.6666667 --> 00:39:39,314.6666667 That's something that will, will come out the, not just go to chat GBT and tell you what to type or whatever, but just someone to kind of, I don't know, just kinda like an AI specialist in the field. 471 00:39:39,314.6666667 --> 00:39:42,794.6666667 I could see that coming in the short term, long term. 472 00:39:43,304.6666667 --> 00:39:53,594.6666667 One thing that I think, uh, they got a lot of publicity, and I forget, I don't know if it was a 2016 election or whatever year, Andrew Yang, I don't know if you remember, I can't remember. 473 00:39:53,594.6666667 --> 00:39:58,514.6666667 He was like the CEO or something like that, or a entrepreneur, and he talked about. 474 00:39:59,84.6666667 --> 00:40:00,194.6666667 Universal income. 475 00:40:00,764.6666667 --> 00:40:03,704.6666667 And you know, when I heard it I was like, that seems kind of crazy. 476 00:40:03,704.6666667 --> 00:40:08,564.6666667 And his thing was is you know, at some point like there's just gonna be a bunch of people that are jobless. 477 00:40:09,44.6666667 --> 00:40:15,794.6666667 And this was, I, I mean, I'm pretty sure this was before chat GBT was known or even in existence, I don't know. 478 00:40:15,794.6666667 --> 00:40:16,844.6666667 And he was talking about that. 479 00:40:17,684.6666667 --> 00:40:19,454.6666667 I think it was 2016 when that came around. 480 00:40:19,514.6666667 --> 00:40:26,984.6666667 I think today, like people wanting, I think you got a lot of, looks like you're crazy to have universal income for people, but now it's, I. 481 00:40:27,254.6666667 --> 00:40:40,244.6666667 Long term, you know, what happens if this many people are displaced? Kinda what you said earlier that I do think companies are gonna take advantage of this and, you know, the, the rich are gonna get richer and the poor are gonna get poor to some degree. 482 00:40:40,244.6666667 --> 00:40:42,974.6666667 And I think this will just really exasperate that or it can. 483 00:40:43,694.6666667 --> 00:40:49,994.6666667 And uh, anyways, that's just something I was thinking about long term, but like you said, I don't, there's no way to know which way that's gonna go. 484 00:40:50,204.6666667 --> 00:40:50,774.6666667 I agree with you. 485 00:40:50,774.6666667 --> 00:40:55,844.6666667 I think for us, and I agree on the prompt engineering, and I've talked to a lot of people at least. 486 00:40:56,339.6666667 --> 00:41:07,109.6666667 You know, as we've been kind of thinking about deploying different things that have never used AI before, I think in our industry, I don't know, I'm gonna say 10%, 15% have even used it personally or otherwise. 487 00:41:07,379.6666667 --> 00:41:07,559.6666667 Yeah. 488 00:41:07,619.6666667 --> 00:41:09,119.6666667 So there's a lot of, they're kind of learning. 489 00:41:09,599.6666667 --> 00:41:24,119.6666667 But I, I think for now, and I don't know how it's gonna go, but I'm gonna say for our organization that I think, at least as far as I can influence, that an organization that takes advantage of AI is going to outperform. 490 00:41:25,94.6666667 --> 00:41:30,134.6666667 An organization that doesn't era everything lands 15 years from now, 20 years from now. 491 00:41:30,344.6666667 --> 00:41:31,394.6666667 I can't tell you. 492 00:41:32,234.6666667 --> 00:41:39,374.6666667 What I can tell you is the organizations that just decide to put their head in the sand and don't do anything about it Yeah. 493 00:41:39,434.6666667 --> 00:41:40,424.6666667 Are gonna fall behind. 494 00:41:40,814.6666667 --> 00:41:41,54.6666667 Yeah. 495 00:41:41,84.6666667 --> 00:41:42,44.6666667 Very drastically. 496 00:41:42,434.6666667 --> 00:41:45,44.6666667 And to your point, like the richer get richer and the poor get poor. 497 00:41:45,494.6666667 --> 00:41:51,764.6666667 I don't think that richer in like financial means, but a richer in thought or in, um, vision and strategy. 498 00:41:52,709.6666667 --> 00:42:00,449.6666667 So for us, while, you know, I'm curious to see what regulation might take place, what, what impact you might have. 499 00:42:00,509.6666667 --> 00:42:02,429.6666667 We, we might have out of like the next generation. 500 00:42:02,429.6666667 --> 00:42:18,659.6666667 I think agent, agent based AI is, it seems like maybe it's the coming next kind of gen, I don't know where it's gonna go, but I know for me and, and what, in my role, I've got to, you know, help lead us to embrace this. 501 00:42:18,809.6666667 --> 00:42:21,149.6666667 And if we don't, it's not gonna be a. 502 00:42:21,869.6666667 --> 00:42:24,239.6666667 You know, we're keeping ourselves from the impact. 503 00:42:24,359.6666667 --> 00:42:29,99.6666667 I think it, in some ways, it almost will impact us worse by ignoring it. 504 00:42:29,609.6666667 --> 00:42:31,289.6666667 Yeah, I agree with that. 505 00:42:31,379.6666667 --> 00:42:39,119.6666667 This is one thing where, you know, we're trying to embrace it ourselves, but I'm also pushing our vendors to embrace it. 506 00:42:39,119.6666667 --> 00:42:43,769.6666667 And I, I think that's one of those things you said, if you know those that don't use it, they're gonna to fall behind. 507 00:42:43,949.6666667 --> 00:42:47,369.6666667 With our vendors, like, you know, we we're, they're not just vendors to us. 508 00:42:47,369.6666667 --> 00:42:49,49.6666667 They're, they're almost like ba. 509 00:42:50,159.6666667 --> 00:43:03,539.6666667 Not just vendors like it or not, and you know, I really implore them to be investigating an AI and leveraging it to make you more efficient, and also to help us, you know, do the things that we need to do or wanna do. 510 00:43:04,49.6666667 --> 00:43:06,119.6666667 No, I, I mean, interesting conversation. 511 00:43:06,124.6666667 --> 00:43:09,74.6666667 I think, I think we've, we had a, a good little episode here. 512 00:43:09,389.6666667 --> 00:43:18,509.6666667 I think maybe final thoughts? You got any final thoughts on the AI debate? Did we solve the world's problems tonight? Is this for those young people? I would definitely think about what you're going into. 513 00:43:18,899.6666667 --> 00:43:36,719.6666667 Um, I do worry about the younger generation much more so I, it's one of those things where, you know, if you didn't go to college, it was kind of looked down upon, you know, I, I don't know if that's the gonna be the case and that, and where smart people can actually just leverage AI and learn and do so much with it. 514 00:43:37,229.6666667 --> 00:43:48,149.6666667 And, you know, is college a waste for, you know, someone that is looking to get in technology these days? Are they better off just dive, doing a deep dive into AI and trying to leverage it to. 515 00:43:48,494.6666667 --> 00:43:48,794.6666667 Yeah. 516 00:43:49,544.6666667 --> 00:44:06,194.6666667 Well, I think the flip side, uh, I heard someone say they, uh, you should, you know, look more in the trades and I would say, are you gonna be able to afford someone to fix your plumbing or your AVAC system if you're not making, if you're not doing your other job, that pays pretty well. 517 00:44:06,494.6666667 --> 00:44:06,824.6666667 Yeah. 518 00:44:07,274.6666667 --> 00:44:08,774.6666667 Probably gonna be doing all that yourself. 519 00:44:09,44.6666667 --> 00:44:09,914.6666667 It's gonna be interesting. 520 00:44:09,944.6666667 --> 00:44:15,374.6666667 Uh, like I said, I don't think anyone, we don't have the answers and it's fun to speculate, but I. 521 00:44:15,704.6666667 --> 00:44:16,844.6666667 Uh, at least in my career. 522 00:44:16,844.6666667 --> 00:44:20,894.6666667 And, uh, you know, it's, I'm kind of near and close to halfway point here at this point. 523 00:44:21,734.6666667 --> 00:44:32,534.6666667 I've been amazed with a lot of technology and, and I've been, I guess, disappointed with how limiting we still, there's still a lot of limits to our technology. 524 00:44:32,834.6666667 --> 00:44:34,544.6666667 Maybe AI is the key to unlock that. 525 00:44:34,694.6666667 --> 00:44:35,744.6666667 Uh, we don't, I don't know. 526 00:44:35,894.6666667 --> 00:44:38,24.6666667 So I'm curious to see where it goes. 527 00:44:38,54.6666667 --> 00:44:40,394.6666667 I, I'm, I think the best thing to do is have an open mind. 528 00:44:40,394.6666667 --> 00:44:42,914.6666667 Have an eager mind to learn. 529 00:44:43,679.6666667 --> 00:44:49,79.6666667 We talk about that when we hire new people is, uh, willingness to learn is really kind of one of the most important things. 530 00:44:49,79.6666667 --> 00:44:54,689.6666667 So that's, I'm gonna kind of buy into that, right? And learn all I can and see where these things take us. 531 00:44:55,139.6666667 --> 00:44:55,559.6666667 Yeah. 532 00:44:56,9.6666667 --> 00:45:05,789.6666667 One thing, and I think we've made this comparison in the past, ai in some ways, it reminds me of when the cloud came out and there was those people that they were like all in. 533 00:45:05,789.6666667 --> 00:45:08,9.6666667 They were like, let's, we're gonna move everything to the cloud. 534 00:45:08,399.6666667 --> 00:45:10,889.6666667 And then there were somewhere, I'm not putting anything in the cloud. 535 00:45:10,949.6666667 --> 00:45:12,419.6666667 And there were, there were people out there. 536 00:45:12,824.6666667 --> 00:45:18,464.6666667 Screaming from the rooftops that in 10 years you're not gonna have any systems local, you know, everything's gonna be in the cloud. 537 00:45:18,464.6666667 --> 00:45:19,754.6666667 And it's not the case. 538 00:45:19,754.6666667 --> 00:45:21,764.6666667 I'm not saying there's some organizations out there that don't. 539 00:45:22,4.6666667 --> 00:45:29,234.6666667 Um, but also, you know, those people that drug their feet and fought, put stuff in the cloud, everyone's got something in the cloud these days. 540 00:45:29,234.6666667 --> 00:45:33,284.6666667 Like, I haven't seen an organization that, that doesn't, so, uh, I, I think you're right. 541 00:45:33,284.6666667 --> 00:45:39,554.6666667 There's no way to truly predict it, and the answers will lie somewhere in the, the middle of all this speculation. 542 00:45:40,49.6666667 --> 00:45:44,189.6666667 But, uh, I do like your thought on, you know, just trying to embrace it and learn from it. 543 00:45:44,279.6666667 --> 00:45:44,849.6666667 Leverage it. 544 00:45:45,359.6666667 --> 00:45:46,379.6666667 I think that's important. 545 00:45:46,469.6666667 --> 00:45:50,369.6666667 You know, if people were to have done that with the cloud, like those are the people that are more successful. 546 00:45:50,579.6666667 --> 00:45:52,979.6666667 I think with ai, the same thing is gonna come. 547 00:45:53,9.6666667 --> 00:45:54,299.6666667 Just trying to embrace it. 548 00:45:54,539.6666667 --> 00:45:55,379.6666667 Try something new. 549 00:45:55,829.6666667 --> 00:45:56,699.6666667 We'll, we'll see. 550 00:45:56,699.6666667 --> 00:45:58,559.6666667 For those listening, we'll see what you think about it. 551 00:45:58,559.6666667 --> 00:46:00,419.6666667 Let us know as we post this out. 552 00:46:00,479.6666667 --> 00:46:01,829.6666667 Started a conversation below. 553 00:46:01,829.6666667 --> 00:46:05,999.6666667 Uh, I'd like to hear what everyone else's thoughts are, so as we post this out on social media. 554 00:46:06,419.6666667 --> 00:46:17,204.6666667 If you have some thoughts on what we talked about or where you think AI is going, or where do you think the future is, is going in an AI connected and enabled world, uh, drop 'em, uh, down below and, and let us know what you think. 555 00:46:17,684.6666667 --> 00:46:22,604.6666667 Um, or if you wanna reach out to us and you can always do that at Show it Off the Wire podcast. 556 00:46:22,634.6666667 --> 00:46:26,234.6666667 Tell us, you know, give us feedback, give us an idea for a new episode. 557 00:46:26,849.6666667 --> 00:46:27,869.6666667 Anthony, we tried something new. 558 00:46:27,869.6666667 --> 00:46:29,129.6666667 I, I think it worked. 559 00:46:29,219.6666667 --> 00:46:32,219.6666667 We will see what others think as we publish this just a little bit. 560 00:46:32,399.6666667 --> 00:46:35,69.6666667 And, um, so yeah, let us know what you think. 561 00:46:35,219.6666667 --> 00:46:37,739.6666667 So, uh, this has been another episode of Off the Wire. 562 00:46:38,699.6666667 --> 00:46:39,269.6666667 Thank you everyone. 563 00:46:39,269.6666667 --> 00:46:39,299.6666667 I.