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/AI: don’t miss the shift
63 Plays1 year ago
In this episode James Carman and Aaron Chesny discuss AI and how it will change how coders will work and learn in the future.
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Transcript
AI as a Power Tool Analogy
00:00:01
Speaker
So i I think that AI is is a is a power tool. To use an analogy that is a it's a woodworking analogy, right you can still create handcrafted carvings out of wood, or I can use power tools. I can put the design into a CAD system and then dump that out to a CNC machine that will perfectly
00:00:36
Speaker
actually get a more uniform more valuable because of those
00:00:58
Speaker
And there's some intrinsic value to that.
Introduction to 'Forward Slash' Podcast
00:01:07
Speaker
Welcome to the Forward Slash, where we lean into the future of IT. I'm your host, Aaron Chesney, with my somewhat attractive co-host, James Carmen. ah We'll be doing a point and counterpoint today, so I may be a little less friendly. Do we get a full like Jane Curtin panic right here? or you know
00:01:31
Speaker
yeah so I don't know if we, we want to go. women get older our rating on our with five yeah i would I was wondering, I'm like, you usually introduce me as your, your beautiful co-host. And I was like, am I having a bad day or what? Like, is it. No, I'm, I'm, I'm setting up for, you know, us to.
00:01:53
Speaker
to be in debate mode. So today our guests is us
Defining AI and Its Implications in IT
00:01:59
Speaker
again. We're going to be talking about artificial intelligence and what that means for the IT industry and giving some background on what is AI. We'll start with a formal definition. So IBM defines AI as artificial intelligence or AI is technology that enables computers and machines to simulate human intelligence and problem solving capabilities. So, you know, breaking that down is, you know, we're trying to get computers to think more like humans and and be able to learn. So what do you, what, what's your take? on Nobody ever got fired for buying IBM. So I'll buy that definition. I'll take that.
00:02:50
Speaker
i you know I mean, I think the the you know the whole Turing test has been around for a long time. That you know that was the definition of you know if you if you can have you actually created artificial intelligences that if you can pass the Turing test. And you know the Turing test is yeah I think it's a kind of a thought experiment, if you will, right? So if you were setting someone down across from an artificial intelligence system and there's like a curtain between you and that system and you're interacting with it and and speaking back and forth and communicating with it, could you would you know
AI's Impact on Education and Critical Thinking
00:03:21
Speaker
that it's a computer? if And if you wouldn't know, then you pass the Turing test. Well, and that leads into the interesting issue of you know using AI to create works. I know
00:03:35
Speaker
Like it's been used, there's been a lot of talk in like the education circles of, um you know, AI generated writings and things like that. ah and And being able to detect whether an AI wrote it or a student wrote it. Thanks. Yeah. That's kind of important in in our old line of work, right? Yeah. Well, and I have a couple, uh,
00:04:04
Speaker
teenage boys that are that are, you know, kind of living through this right now, especially with them getting ready to fill out like college applications in and which have to be accompanied by an essay, right. ah And, you know, a lot of them are like, well, I'm just gonna let AI do it. know Wow. Yeah, I think, I don't know, I'm kind of i'm I'm torn here. So when it comes to education...
00:04:37
Speaker
there There is a part of you that's like, you know, that these teachers have got to be, you know, they they got to be having a rough time right now because we probably have a hard enough time already getting kids to focus and, you know, put down the machines and and the devices and and, you know, critically think for themselves. And now when you can, you know, have a very, very convincing piece of work that you've generated with AI, then you can turn in for a homework assignment.
Integration of AI in Daily Life and Education Challenges
00:05:02
Speaker
I do think, you know,
00:05:05
Speaker
We can't like shy away from AI because it will be a part of their job. You know, just like everybody when we were kids, right? They'd be like, oh, you're not going to have a calculator with you everywhere you go. You need to learn how to, you know, add things up. Well, actually we do have a calculator with us everywhere we go now, but.
00:05:21
Speaker
We are going to have AI with us everywhere we go in the future. So it it is going to be part of our lives, but I think you have to kind of like. Figure out a way to, okay. Yes. Yes. We're going to learn about AI and we're going to learn how to use it, but we also have to learn the critical thinking and how do you actually solve problems? Cause there's those muscles have to be, and I know it's not muscle, but well, and I'd argue we already have AI with us wherever we go. Sure. How many people talk to their phone and say Siri or Alexa or Google?
00:05:50
Speaker
You know, and give me, give me information on this, you know, and that's a form of AI. And, and to the the point where it's like, a lot of people don't even think about, I like, I'll be talking with somebody and they'll turn and start a conversation with their Alexa. Right. It's like, Oh, that reminds me, Alexa, you know, do this.
00:06:11
Speaker
As a matter of fact, I think the Alexa on my fridge just went off when I said that. We are not responsible for anything that your devices are ordering online right now because of this conversation.
Technological Evolution and Adaptability
00:06:22
Speaker
Didn't South Park do that where they like said all of the keywords and made everybody mad? Alexa, make a donation to Aaron Chesney. And they activated all of them. They were like, Hey, Google, Siri, Alexa. I had it.
00:06:41
Speaker
And it's funny because I had one of those Google like mini pod things that was like on a table next to my couch. And there was a commercial for, for something like that. And they were using that and it would turn on. I'm like, Oh geez, eat you know I can't even watch TV without triggering stuff. Yeah. Yeah. Well, I mean, I do think it's it's, it is scary for, you know, it's going to be hard for teachers to to get kids. I mean, no matter what you do, yes, there are going to be things that AI can help us with, but you do need to be able to reason through your daily life and be able to think critically. And, uh, with all, with the crutches, the crutch of AI involved in so much in their lives now, is it going to, are they going to be able to, you know, build those muscles for them, right? As, as they're teaching these kids, ah but there's other ways to work those muscles, right? So.
00:07:40
Speaker
It's kind of like cursive now. It, you know, many people don't even know how to write in cursive anymore. Um, or read it for that matter because it's just not used. It's become more of an, it's becoming antiquated kind of like the newspaper or the magazine, right? It's, it's, those things are slowly being phased out. I think.
00:08:08
Speaker
writing as a critical thinking tool is also going to end up going that route of being antiquated as an old way of proving that you know how to critically think. And it may be more of, you know, prop creation or some other form of problem solving at a higher level to where,
AI in Content Creation: Handcrafted vs. Machine-Made
00:08:34
Speaker
you know, it's not about the basic math anymore. It's more about you know, can, can you use the tool to get to the right answer? Yeah, that's fair. I mean, you think about like, Google is a part of our lives these days, right? I mean, it wasn't when you and I were growing up, but like, now it is. And it's that some of those answers are just at your fingertips. So in Googling is an official verb. No. Yeah. um So it's, you know, in those, and I think those kinds of changes are, are what's going to happen is we're going to see a,
00:09:08
Speaker
a change, another change in technology, like the the landline to mobile, right? It's going to be more of a, why would I write that? I can write something and read it, make sure that my points that I wanted are being explained. And if not, then I'll adjust my prompt a little bit and go, boom. Okay. Yes. the This is, this is a good representation of my thoughts and where my thinking was. And now.
00:09:38
Speaker
There it is. um
00:09:42
Speaker
And I think that's going to be more of the the way we see things evolving. It's not going to be so much about the how, but the what. I think that's fair. So of course, the big question in our industry is, you know are we all doomed, the software engineers? are we Are we kind of a ah dinosaur now? are we we They're going to put us all out to pasture and we're no longer going to have jobs. as What do you think about that?
00:10:14
Speaker
um So i I think that AI is is a is a power tool. And you know more to use an analogy that was given to me at a conference I was just at, um that is a, it's a woodworking analogy, right? You can still create handcrafted carvings out of wood, right? You can pull out a chisel and a hammer and you can carve that stuff away and make a beautiful piece. Or I can use power tools like, um, I can put the design into a CAD system and then dump that out to a CNC machine that will perfectly
00:11:04
Speaker
carve this design out into a piece of wood and I'll actually get a more uniform and perfect piece. And some will argue that the handcrafted one with its small flaws is more valuable because of those imperfections. It's proof that it was handcrafted and not machine made.
00:11:32
Speaker
And there's there's some intrinsic value to that. And I think that um we can we can do the same thing with coding with AI is we can create those those two versions. You may have a handcrafted system. I don't think you're going to get value out of that because the the things that pop up that show that it's handcrafted are defects and latency.
00:12:00
Speaker
And, and, and things like that. And, and some of those golden signals that we use to evaluate a system by are apparent in a handcrafted system. And we don't, and we may even have those in AI, but they're going to be less likely because as a system learns, it's not going to make those mistakes and, and create code that will fall into those pitfalls.
Training AI Models: Human Content and Feedback
00:12:31
Speaker
So I think what we're going to find is it's going to be more about how do I get the system to solve the problem that is, that I have and plug that in as a power tool and then look at it with my craftsman's eye and say, is this well crafted? If it is great, plug it in and move on to the next problem. Right. Because we've been doing this for.
00:13:00
Speaker
many decades now of generating code to solve problems, right? And we know how systems are supposed to come together and what they look like when they're done well. And we even go back to our own stuff, sometimes as early as like a couple of days, like, you know, you write some code on Friday, come back on Monday and go, what the heck was I thinking here? Right? And I think that's going to be the same kind of thing that we'll find with AI-generated code is that what's being done in version 4, when we get to version 5, it's going to be like, oh, yes, this is a much better thing. As languages evolve and be able to use different resources ah of our technical components, it's going to be another change, another role that we're going to have to go, yeah, OK, this is better. We need to replace that.
00:13:58
Speaker
and there's never a shortage of problems to fix. it's ah It's been a target rich environment for as long as we've been in the business. And I don't see that slowing down anytime soon. And so it's just gonna be a matter of um you know how well you use the tool to solve the problems. Yeah, I think one interesting thing like you kind of brought up that the code is gonna be writing, you know the AI is gonna be generating better code than The issue there, one interesting aspect there is what they trained all these models, these these foundational models that can do all this code generation. What we're talking about is you know um generative AI, right? So these foundational models are predicting the next token that they're supposed to be putting out.
Self-Learning AI and Human Thought Dynamics
00:14:45
Speaker
They used human written code to train these models. So I think about like you know with with my kids, right? like there It's a great lesson in life when you and you have children and they do something and you're like, why on earth would they have done that? And then my wife's like, oh, they're just like you. Exactly. They they make those same mistakes that we made because we we trained and we taught them whether we meant to or not. But we we we taught our kids. And the same thing's happening with AI. is that you know They're gobbling up all of this code that's been generated by human beings over time. So they're learning how to write code like human beings would, which is right. i think this It's just kind of fascinating. I don't know. I thought that was an interesting aspect of it. And and you we're already seeing like.
00:15:28
Speaker
I've been describing it as like the snake eating its own tail, right? So like um Stack Overflow was one place where they they scraped Stack Overflow and said, here's a little answers to all these questions that developers have had through all these years or whatever, which is great. And you you can get answers from generative AI that way.
00:15:47
Speaker
However, new questions that are being asked are only being asked of the AI now. They're not they're not going out to Stack Overflow. So it has nothing else to learn from Stack Overflow. you know and um I wouldn't say it's dead necessarily, but it's kind of dead, right? Everybody's using the generative AI tools to to find their answers and to to get where they need to go when it comes to coding problems now.
00:16:12
Speaker
Right. And that's, and I think that's where we're going to see the next evolution of AI is going to be self learning. It's going to learn from the prompts and adjustments of the conversations that has with the user. So when it generates something and then you refine that with additional parameters, it's going to start to learn from that and go, Oh, okay. I see.
00:16:39
Speaker
how this changes in order to rectify this. And then that's that's like the next level. That's that's getting a little bit more self-aware because it's like, oh, OK, I'm having this conversation. I'm going to use that as part of my data set. Then it becomes kind of that that recursive process of, OK, now I'm going to go back through. I'm learning from this conversation that I just had with a user.
00:17:05
Speaker
well Then what if I start up my own conversation to try
Reinforcement Learning and Ethical Concerns
00:17:11
Speaker
and, you know, find that and then that's, and that's kind of, it gets its own voice in its head and that's kind of the way we think, you know, we, we, we talk to ourselves sometimes externally, internally, we're always kind of reprocessing things on an, on a, on a general flow. Like how many times have you been, you know, awake at night trying to think of a solution to a problem and running different iterations through your, your mind of like, Oh, I could try this. Oh, but that has this issue. So I'll try this and that, but the computer can do that really fast with different iterations. Right. Yeah. i think that And there's like the, what is it? RLHF reinforcement learning with human feedback.
00:17:58
Speaker
is one of the aspects of AI that that people are using these days. But there's that human feedback loop there. Of course, the answer is reinforcement learning with AI feedback. But even when they do that, when they use the computer to to give the feedback to the learning, you know that that feedback loop for the learning, it's based on something that humans came up with. They usually have, it's you know it's called constitutional AI, right? So you put together, here are the rules. Think about the ED209, right? You said you can't do this. like here are the prime objectives or whatever, right? So you have to put those and it kind of evaluates itself based on, you know, how am I complying with the prime objectives that I've been given my constitution, if you will. But I don't know, as you were talking, I was thinking, have you ever seen the movie, Multiplicity, I think it was called with Michael Keaton. Yeah. yeah as As you created more copies, it got dumber and dumber. yeah By the end, the guy's like, I got a wallet and he's like shaving his tongue. right
00:18:58
Speaker
So that maybe maybe that's what will happen. If we let AI teach itself, it's just going to create dumber and dumber versions of itself. Maybe maybe that will happen. Hopefully that's the case and it's not you know the Terminator robots coming back in time made of liquid metal like in Terminator 2. So we're we're not going to lose our jobs, you don't think, right? No, I think i think our jobs will evolve kind of you know with with the different career paths that have had technology impacts.
00:19:27
Speaker
You know, journalists and writers have become bloggers and vloggers and, you know, that type of thing. I think it's just a paradigm shift in what the career will become. Um, it just like it has in previous iterations of, of technology
AI's Redefining Role in Software Engineering
00:19:51
Speaker
shift. We don't, we don't use punch cards anymore. We don't.
00:19:56
Speaker
bright assembly directly down to devices. um Very rarely are we even writing embedded code ah on the things unless it has to be, you know, specific to a device. And usually that's just a USB transfer now anyways. It's just like, well, we write it over here and we just transfer it over there, but we're not like hard coding chips and that kind of thing. So it's, you know, those kind of evolutions I think are going to come about in into our industry. And
Crafting Prompts for AI Problem Solving
00:20:29
Speaker
it's going to be more about the the writing of better prompts and framing questions in a way that the computer can understand to get to the right answer. um you know To use the math analogy again, it's like,
00:20:50
Speaker
Are you putting your parentheses in the right places? Are you dividing by the right, you know, denominator in, in, in that kind of thing? And are you plugging your variables into the right places? It was like, uh, you know, like a college physics course isn't it necessarily about memorizing the formulas, but being able to plug the right values into the right places to get the right answer. Right. And I think.
00:21:19
Speaker
that AI is kind of that tool. Where do I plug in my different pieces in order to get the correct generation of code in there? and And honestly, I think one of the spots that we will see that developers write less and less of will be testing. you know i think I think that ah QA in that kind of thing is the perfect type of thing for AI to leverage and say, take a look at this code and punch holes in it. Okay. I can do that. And, you know, yeah, it's, uh, where, where is this code week? And,
AI in Software Testing and Efficiency
00:22:05
Speaker
and test it, you know, that I think that's the kind of thing that, um, we're going to see a big paradigm shift in because, you know, I,
00:22:17
Speaker
I personally love having a lot of tests around my code to make sure it's working. But in the same respect, I hate writing tests, right? So if I can have AI write tests that give me the satisfaction of having well-covered code, that makes my job that much easier. And it's a good leverage of the ah of the technology to advance my career. Now I can produce work much faster. I'm like, okay, great.
00:22:45
Speaker
So now I'm going back and forth and and maybe I don't need a team of four or five to 10 developers in order to generate an application or service out there in the cloud. I can have one or two, you know, with, with co-pilot be able to produce the same amount of work.
00:23:10
Speaker
So one one of the things that that was interesting um during the panel discussion I was in last week, somebody brought up, ah we had a gentleman who was in cybersecurity and they brought up some some fascinating stuff around this, this especially around AI code generation is, you know there are already people trying to pollute these foundational models with bad code, right? That would create vulnerabilities, right? So that that's another thing we have to be very careful of is is these these Code generators actually writing code that has vulnerabilities in there and they already know they're going to be there because they're polluting the models and then now they're going to go capitalize on this and taking advantage of those vulnerabilities and you know, steal money or people's identity or or whatever the case may be. What do you think about that? Well, and you know, I think that, you know, with great power comes great responsibility, right? So you're going to see.
00:24:08
Speaker
I, you know, this is a dangerous tool
Cybersecurity Threats from AI-generated Code
00:24:10
Speaker
as much as is a helpful tool because, you know, with the right prompts, you can be like, okay, AI go hack into the system. Right. And if there's, if there's no guard rails around it, then it's going to go, Oh yeah, here's a vulnerability that you can exploit with a, with a JavaScript prompt and, um, or.
00:24:33
Speaker
you know any this This site happens to be open to a DDoS attack. um you know it's it's just it It's one of those things where the the components of of a bomb may be readily available, but it's the person assembling them in that fashion that makes it a dangerous thing.
00:25:02
Speaker
And I think AI is, could be one of those components, right? It could be, it could be the, the bag of fertilizer that if, you know, assembled the right way, turns into something really nasty.
Evaluating AI Tools: Keep, Monitor, or Eliminate
00:25:18
Speaker
So we wanted to add a section to our podcast that we want to call control alt delete, where we list a a list of things and we go through and we say, these are things that are, that we should keep.
00:25:32
Speaker
things that are maybe a good thing, and things that we should just get rid of completely. ah So with this, we're going to talk ah about AI tools and AI uses. We'll list out about five or so of these things. And then as as we list them out, make a determination or our opinions on whether that should be something that we keep around.
00:26:00
Speaker
something that we keep an eye on or something that we just get rid of completely. like So I'll start things off. I've got one AI song generation. So I started playing with a technology that will create songs from an AI prompt. And I'm going to feel like such a get off my lawn kind of person here. I don't know, man. I delete it, in my opinion.
00:26:30
Speaker
i I don't see it as being like generating like pop hits or something I'm going to want to listen to like for hours and hours. But I think it's something to keep an eye on. So I'm going to give it the the alt. I think that there may be some possibility there.
00:26:51
Speaker
Well, hold on now. and You just reframed it so you could be, you know, you can have your own kind of answer. You said, what's my opinion? I think delete it. I, that doesn't mean I don't think it'll still be around. I absolutely think it'll have some legs and it'll be here. I think we should delete it. Right. We've got enough bad music out there. You know what I mean? mean Yeah. So that's why, that's why I say and that's why my opinion is it's a, it's an alt. I think it's something that's yeah, I'm going to go alt.
00:27:22
Speaker
um as as mine. So ah another one that's out there is well let's do the one that we've talked mostly about AI code generation.
00:27:37
Speaker
I think control for me on that one. i I like it for now. I do think it's beneficial. It is helpful. I think it's great for For me, writing documentation, right? if Or even like taking a bit of code, feeding it to the code generation and saying, or to to a generative AI and saying, tell me what this code does, right? Help me make sense of this. Like, I think it's, I think that just using AI around software and code, I think is just a natural progression for us. And I'd say keep it for sure. Control. I agree with you. I think this ah falls into that control category of
00:28:18
Speaker
It's a great tool for analysis, if you know when especially when you're looking at somebody else's code. It's like you can just throw it into Aang and say, hey, what does this code do? And it gives you a really nice explanation of the code and what it's doing. It may not fill in all the gaps perfectly, but at least it's enough to where it's like, oh, okay, yeah, I i see i see the logic thread there. And you can move on. Unless it hallucinates. Unless it hallucinates.
00:28:47
Speaker
But generally you can, you can pick that up. I'm like, that doesn't make any sense at all.
Debating AI in Music, Art, and Writing
00:28:51
Speaker
that's like Um, all right. So the next one is AI image generation. Like like artwork or just for art, like there's, there's a bunch of different ones out there. Like you can create an anime character based on a prompt or, um, some kind of like fantasy art or, you know, an avatar.
00:29:17
Speaker
that kind of stuff is, ah you know, make me make me a picture and you fill out your prompt of what you want to have in it. And it tries to do this and create an image for you. Yeah, I think I'm okay with that one. I'm gonna go alt for me on this one. the The problem with some of these things, and we've already seen it is, and we didn't really talk about biases and and kind of ethical and all of that sort of stuff when it comes to AI, but but there's there's an inherent risk of of biases, especially with when it comes to like image generation. um I don't know. I think I'd love to have. like I tried to use it for the use case the other day, as I suppose talked about earlier, about you know I'm i'm do
00:30:00
Speaker
I'm going to be talking about a certain topic and I'd like an illustration for my slide. Can you put together an illustration and try, and I tried to do as much as I could to like, here's what I want you to illustrate with this, this diagram, blah, blah, blah, blah, blah. And I gave it a bunch of stuff and it spit out something that was just horrendous. It was terrible. I would love for that to get better and for that um for me to be able to use that. Cause one of the things like.
00:30:21
Speaker
When I'm doing talks or presentations for clients, you know, you have to do diagrams and if they can spit out really good diagrams, I'd like that. So I'm going to go alt. Yeah, I'm going to, I'm going to say I'm kind of between alt in delete on, on this one, because a lot of times some of the images are really good. You know, like, wow, that's really impressive. And other times, you know, there's like an extra hand.
00:30:51
Speaker
You know, that's just, that just pops up and it's like, what the heck is it thinking? And you get these weird kind of things and it's just like, all right. Or, you know, you get like the, the four eyes and like they're like, that's just creepy. So, um, it, I think, I think I'll go with alt on that because I think if you're doing some kind of like create a piece and you need a,
00:31:18
Speaker
You need an artwork, to maybe like a, like a book cover or something like that. If you're, um, or for like a presentation and you need like a, uh, a certain type of, of graphic there. I think that might be, that might be a good, um, good way of generating that kind of stuff. All right. Uh, the next one would be AI generated writing. So this would be like essays or.
00:31:45
Speaker
um abstracts any kind of like paper type writing all right so i guess And for all of this, I would probably say, I would probably need to have two different, the get off my lawn part of me says, anything that's intended to be art or you know enjoyed by human beings at that level, I'd say, no, delete, see you later. Don't don't write me any songs. I don't wanna hear any songs by my a computer. Don't generate me any artwork. You're not gonna be paying the moda Lisa for me. I don't wanna, that's not beneficial to me. Same with like writing, don't don't write me a story.
00:32:25
Speaker
That level, bye, see you later, delete, i none of that. However, I would say when it comes to like day-to-day usage, like I definitely use it to, you know, I'll have a piece of something that I've written and I'll say, hey, can you clean this up? Or maybe, you know, rearrange the sentence and use it like an editor for me, like an editorial editor, or not like code editor, but like to do editorial for me. I'd say yes on that aspect of generating writings. So control.
AI in Practical Writing Tasks
00:32:55
Speaker
control for you. Yeah, i'm I'm definitely in the control camp on this one. I actually have used it a couple times in the in the last week in in playing with, in kind of in understanding the toolset that's out there, you know, in in what AI can do. um I actually had it help me compose a song, right?
00:33:22
Speaker
Um, it didn't give me, you know, like the full song cause I was using more of it as a guide. So, um, give me some lyrics that, that match this prompt. Um, give me a chord progression that matches this, you know, change this verse to use this add a verse here type of thing. And as a, as a tool for crafting, uh, in organizing a thought, it was really good.
00:33:51
Speaker
Um, some of the, just generate me a song was like, the it's a lot of trial and error, like, uh, you know, generate it, listen to it. Okay. Adjust it in and take it again. So yeah, I'm definitely in the control, the control part of that. I think it's, it's pretty cool for, for research and analysis type stuff for presentations that are tend to be more dry material anyways. Um.
00:34:19
Speaker
i would I would say, yeah, you don't go for it. it let it let it Let it go at this stuff. That's what it's going to be really good at, is analyzing and presenting um that kind of information, especially with like point support, support, support, support, and conclude. So I think it's going to do a really good job at those kind of structured works.
Robots and Androids: Usefulness vs. Ethical Dilemmas
00:34:43
Speaker
All right, the next thing on our list would be,
00:34:46
Speaker
will We see droids or androids. And should that be developed? So that would be the control. al delete Should we move to developing bots?
00:35:03
Speaker
Like, so with the distinction being full on fully artificial robots versus. Star Wars, Bicentennial Man, you know, iRobot.
00:35:17
Speaker
you know I think Asimov, Lucas type but type of sentient machines.
00:35:30
Speaker
Maybe let's not go Terminator style, but more. Yeah, I mean, I don't know. This one's, again, my I'm a get off my lawn kind of guy, right? It's it's no.
00:35:46
Speaker
Um, I think, I think, oh, I'm definitely gonna argue with you on that one. I think, I think robots can be helpful where yeah they're helpful. Where's your Roomba?
00:35:58
Speaker
Actually, all right, here you go. Here's where I'm going to say delete. Cause I just had to order two new like cleaning head modules for my stupid Roombas. Cause after six months, they decided I don't want to work anymore.
00:36:11
Speaker
So yeah, delete those suckers. Um, but I did order them and I'll be putting them in and I'll continue using them. Yeah. So I would, I would, I would call BS on the delete call on that one. yeah maybe alt Okay. right all There you go. Now I love my room, but I have two golden retrievers and there's a lot of hair. So I love my room, but so yeah, I, I think when they can be helpful, the the problem though, what we see, and again,
00:36:38
Speaker
This is with anything, but i we have to be prepared to to counter all of the folks that are going to use this technology for for evil, for sort bad. I mean, if we can have a ah robot, somebody's going to say, hey, but what would happen if we put a gun on that thing? You know what I mean? like there's There's always going to be that guy or that person with to do that. um And I've seen too many other movies, right? I don't.
00:37:05
Speaker
I don't want to have the terminators you know coming back to kill us. But I'll go alt then maybe. You talk me into it. and Because I do like my Roomba sometimes.
Robotics in Entertainment and Innovation
00:37:19
Speaker
All right, so that's that's about all I have for the control delete list. um So that was that was fun. I enjoyed that. Yeah, that was fun.
00:37:28
Speaker
I do think when it comes to like entertainment, I really love watching those, what's the robot wars or whatever, where they make the robots and they put them in a little arena. Nattle bots. Nattle bots. Yeah, yeah, yeah. Oh, that's fantastic. They beat the snot out of each other. That's fantastic. Yeah, I can get on board with that. But again, that's a slippery slope. Right now, they look like Roombas on steroids. But maybe they get bigger and taller and have a couple legs.
00:37:56
Speaker
you know then they're time traveling back in time to kill people. There's a movie I just watched. I'm trying to remember. What the name of the movie was, but it was about, um, robots that were boxing robots. So instead of like, they kind of like did away with human boxing and steel. It was huge. Yeah. I think that was the one. Right.
00:38:25
Speaker
Yes. So thank you. That was, that was the movie steel. And it, ah you know, got me thinking, it was like, you know, those kinds of things, you don't have to feel bad about, you know, it's kind of, um, it's a different flavor of competition where there's no harm being done because anything on these machines can be replaced. And, and it's like, you know, putting a couple bottom ring to square off is it's kind of entertaining to see, you know, which one's better, which, which it becomes more about the look what I built. It's, it's no different than auto racing in a sense that it's like, you know, how do you, how do you take something that you've built and compare it to something that somebody else has built to see which one's better, you know, and, and, and, and that, in that promotes advancement, um, in, in different things.
00:39:24
Speaker
like I have watched a bunch of the battle bots and to see the evolution of the bots that used to dominate the field and how they just completely get destroyed now um is is testament to that evolution of because of competition, they've pushed different boundaries and thought of different ways of making these things work.
00:39:49
Speaker
Yeah. I mean, they're solving extreme problems. The same thing was like auto racing, right? You think of the problems they're solving high, high RPMs, high heat, all of those things that they're solving at that level at the, in the extremes, those innovations can make their way down into more consumer based goods. Right. which Yeah. That's a way to spur innovation. But, uh, yeah, I think, I think that, uh, pretty much concludes this episode. I think we've, we've, you know, talked about everything we wanted to talk about on AI.
00:40:18
Speaker
And with that, I will thank you my beautiful co-host, James Carmen. For needing myself. And our voices from above, our producer and editor. And I am Aaron Chesney, and this has been the forward slash where we lean into the future of IT. Thanks for listening, and we will see you in the next episode.