AI vs College Students

The podcast features six individuals introducing themselves by their majors and discussing their understanding and use of generative AI, specifically chat GPT models, in their academic lives. They utilize AI for study guides, summarizing notes, editing papers, coding, creating data sets, and more. They emphasize the importance of verifying information from AI and understanding its limitations in generating new ideas. They find AI helpful for academic research and personal tasks, such as saving recipes. This podcast is going to be done with six people, and I'm going to have them all introduce themselves really quick with their anonymous name and their major. I'm Grace, and I'm a finance major. I'm Jeanette, and I'm a marketing major. I'm Adele, and I'm an accounting major. I'm James, and I'm a finance major. I'm Tiller, and I'm a mechanical engineering major. And I'm Bailey. I'm a business agriculture major. Okay, so we're going to go ahead and start with some questions. So, just really, really basic. What is your understanding of generative AI, like, at the moment? Anyone can start. It doesn't matter. Is there something that helps you with tasks or even, like, doing assignments for you? I guess what I know is it's a language learning model that they're usually known as, right? So, it's like a program that builds off itself to answer questions based on input. So, as colleges, I guess we do use it a lot for schoolwork and stuff, but it also has good benefits within engineering, for sure, about, like, trial and error and stuff. AI models, it depends on what kind of AI model you're talking about. There's different kinds, such as large language models or ones that do a little bit more computer programming-based kinds of things. But what they basically do is they take an input, and they go throughout the whole Internet. It's basically a larger, more powerful search engine. And more personalized. You can personalize it. That's the really cool thing about AI is you can personalize it to give you specific kinds of instructions. And in, like, a chat GPT, you can actually go into the interface of chat GPT and tell it, like, here's the kind of style that I want you to tell me things in. Here's the kind of, like, work that I'm trying to do. Yeah. And you can also, like, tell it, hey, save this to your memory and tell it, like, I want you to answer these kinds of questions like this every single time. Yeah, or, like, based off of, like, say I'm a finance student. I put in the chat, I'm like, hey, I'm a finance student. Whenever I ask questions, do it based off of, like, the fact that I'm a finance major. And then, like, personalize it in that way. Yeah. All right. So based on this, like, kind of what you all understand, we're going to assume AI as kind of generative AI, like chat GPT style models. So going off of that, how do you currently use AI in your academic life? And remember, it's anonymous, so you all can be completely honest. Do you want to go in a circle? Sure. I use it a lot to help me, like, main thing is I put in, like, all my notes. I put in, like, all my notes from my classes and ask it to make study guides for me. And sometimes use that to make, like, quizlets and stuff. So it helps me a lot in my studies that way. What I use it for, I use it for study guides. And if I'm not sure exactly what the project is or something, I use it to, like, summarize, like, the bullet points of, like, what the goal is and stuff. And then I make it, like, help me summarize, like, the notes or the slides and stuff in class. I kind of use it to, I use it mostly as an editor for a lot of my papers. And I also, I do tax a lot. So sometimes I will give it a situation in a tax, like, sense and say, hey, what kinds of sections of the tax code should I be looking toward? The big thing about AI is making sure you ask it for a source, especially on important stuff. Because if you don't have a source to back up what it's saying, if you don't actually go and read the source the chat you keep pulling from, it can give you false information. But I've also used it to code. I have, in my econ minor, my professors were always very, or at least one of my professors that I had, was very much so, like, hey, use AI to learn how to use code. And then go through AI code and take out all the extra fluff. Because AI is really good at code, but sometimes it adds a bunch of fluff to the code. I guess for my classes, I usually use AI for, like, I have a pretty high level math classes, right? So a lot of times our teachers, like, for differential equations, for example, our teacher gives us a study guide, but he does it in class right before the exam. And so it's really hard to, like, rep problems based on just the homework problems in those. So I would use the problems I use in class, send them to chat GPT, have them replicate them so I can have more volumes of practice. And I can also get it to tailor, like, the level of intensity or, like, I guess difficulty of the problem. So that's helpful. And then for other classes with, like, my freshman engineering class, they actually had us use AI for projects. And it's kind of lame because there's stuff we already know how to do. It's prompting. So it's not like it was anything in depth. But just, like, the idea that you can use it for more projects than just your homework. Yeah, I've definitely used it, like, for, because there's a lot of, like, math calculations in, like, my major, I guess. And sometimes it can get, like, you can get lost your way in of, like, what does this apply to? Why is this important? What does, like, this outcome mean? Such as, like, statistics, math, stuff like that. And so it really helps to, like, put it in the chat and ask it, like, what does this exactly mean? Especially since that's so important is to be able to take data and turn that into information with my major. So that's, like, probably the biggest thing that it helps me with. With accounting specifically, it's nice to have Chai and she kind of make data sets for me. Because I'll use those data sets and I'll use, like, it's really great at making Excel spreadsheets. And I actually had one professor, it was my accounting analytics boss, who had us all create him a lesson plan that would teach us how to use AI to make something in business. And so I created a balance sheet, like, completely in chat to the team. That's really cool. It was really cool. It gave me a huge data set of a bunch of journal entries for accounting. And then I was able to ask it, based on those journal entries, to create me a balance sheet. And then I was able to cross-check that between, like, what I know about accounting and then what it gave me. And it was pretty accurate. You do also... It was really awesome, actually. It was great. But the big thing with AI is, yes, it's a really great tool. But you have to understand what it's doing in order to use it. Yeah. Otherwise, it could be giving you information that could be completely wrong. And you don't want to completely put all your trust in it. No, yeah. It's, like, one of those things where it's, like, based off of its past knowledge. And so if its past knowledge is wrong, then the whole thing is wrong. And AI doesn't create new ideas. Yeah. It takes ideas that are existing on the Internet and from a bunch of different sources, and it gives you answers based off of those. Yeah. So it can't think for you, but you can make it think, kind of thing. Yeah. Like, if you put, actually, like, backup of old data on there, then it's good. Mm-hmm. So with that, what do y'all think about the idea, like, AI cannot create anything that hasn't already been made. So how does that kind of affect how y'all use it, or does it? Like, do y'all keep that in mind, or is it just kind of... I just use it as a better search engine. Yeah. If I'm going to Google something and it's not pulling results that I want, I just go ask Jack, because it's way better at finding things on the Internet than I am. Yeah. Because it pulls from a lot of different sources. Jack, should we better explain something? So if I have a question, before you would usually have a quick Wikipedia, and that was, like, the precursor to AI, is you'd have that quick Wikipedia little article that Google would give you, or whatever quick little answer that would pop up right away. But now with AI, you're able to get a more in-depth answer, that you're actually able to ask it follow-up questions. Yeah, and you can ask it the why, too, like, and it'll explain that. Or you can be like, hey, can you dumb this down for me? And, like, explain it as if you're explaining it to, like, a five-year-old or something. I do that. And it uses, like, simpler language that's more, like, digestible, I think. My favorite part is asking it follow-up questions, but not very much. So, okay, based on this, what does this do? Or based on, like, this number, what does that mean for me? And so being able to ask those follow-up questions in, like, an academic setting is great. Yeah, because I've definitely dealt with that, especially in my Accounting 2 class, because it's, like, I get lost a bit, and it'll give me my answer, but I'm like, what does that even mean? How do you even get there, you know? Following the settings is really great. I say, give me step-by-step exactly what you did to come to this answer. Or I'll even tell it, like, hey, here's my problem, like a homework problem. Don't give me the answer, because I still haven't figured it out by myself. But give me every single step-by-step. It gives me an outline. Yeah. So I also wanted to ask, how do you all use it in your personal life? This can mean, like, anything outside of academics or homework. You don't have to share everything if you don't want to, but. Okay, I was going to bring this up earlier also. We were talking about, like, how we use AI. So, for schoolwork, it's really common for us. But, like, it works for everything, because I just want to definitely have my mom. She was making a pecan pie for Thanksgiving, and she added, like, I think three-fourths a cup instead of a fourth a cup of, like, corn syrup. It was way too watery. And so we put all the ingredients we used in Cheshire Tea and then made a cake out of it. And it turned out to be, like, a good way to save recipes. I did that the other day for cooking as well. Which, if you see any other ads, they kind of advertise for less on the academic facades. It's known for using, and more of, like, using it to find, like, music or cooking or, like, instructions to build stuff. I used it for Adele when we were doing her oil change on her car. Her oil pan must have been replaced or something, because it wasn't the factory oil filter. The engine was replaced. And so when we bought the factory one and it didn't fit, so we had to use it to find a part number that O'Reilly's couldn't help with us. And so we used it to kind of figure out what filter we needed to get. And it worked really well just by punching in a couple different part numbers. I used it to make a workout plan, because I was, like, I got slowed down on my leg days because I wasn't, like, feeling it as much. And I was, like, okay, make this harder. And then I did that, like, five times. It would be, like, harder, harder. Like, make it so much worse. Make it just painful. And it worked. It hurt a lot. I couldn't walk for, like, a day. But I also use it. This is going to sound really weird. I am, like, I always think there's something wrong with, like, my body or something. I'll be, like, what is that spot? I'm, like, why are my legs itching like this? They haven't itched like this before. Usually I have my mom, because my mom's a nurse. But usually I'll just bug her. But college, I don't have my mom. And she doesn't awake at 1 a.m. when I'm, like, freaking out about every medical mystery. So, like, I think my AI is actually so mad at me. Because I'll send her pictures. They'll be, like, what's wrong with my foot? And it's, like, that's actually tissue in your foot. That's completely normal. Go to sleep. I used it, like, two days ago for Abigail's door. That, well, I needed a hinge. So, I don't know. I use it a lot just to find stuff that if there's a wide variety of things it could be for part numbers and stuff like that. It helps narrow it down if I can tell it specifically what part I'm using or what part I'm looking for along a part number or a manufacturer. So it helps narrow it down. I used it for skin care. Oh, really? No, I have two, yeah. I gave it a picture of my face, which is probably the best thing. But it already has facial recognition and all those other things. Yeah, it already has a whole profile on you anyway, so. Right. But I used it and I was like, hey, give me, like, good skin care recommendations. And it actually told me to stop using this face wash that I've been using because it's way too exfoliating. Oh, yeah. And then, like, it gave me a few recommendations of, like, here's different kinds of products that you could use. And, like, depending on your preference, tell me, like, what you want. And I came up with a little skin care thing. I definitely use it, like, for budgeting. Like, say, like, you have so much money and you need to know how to, like, spread that along, like, months or weeks in the year because I'm not working. So I have to really, like, make sure that my money, you know, not being spent too much. So I, like, will, before the semester, say how much money I have and then, like, create a budget plan because of that. And then also, like, it's cool because you can use it for traveling, too. Like, make a travel schedule or, like, an itinerary or just, I mean, you can look at, like, whatever AI, like, research is for you. And it can show, like, stuff that you wouldn't really know. And your tip for legal advice. Yeah. I, like, put in a, I put in some sort of contract that I was reading through and I was like, hey, this section doesn't seem right. Or, like, what is this actually telling me? Because legal jargon is hard. No, yeah. Like, you can almost, like, copy and paste, like, the whole, like, page and just say, like, can you make this easier for me to understand? Like, say it in English or, like, summarize it. Yeah. And it actually even, because on one thing I was looking at apartments and I was like, hey, this seems really weird that they have, like, I have to sign within 24 hours. Otherwise I lose a deposit, even though I haven't even actually, like, it was a really weird thing. But apparently it's legal in Arkansas because Arkansas is a more, like, landlord-friendly state. But it was, like, it might be a red flag. But they were also, like, it's technically legal. However, you could email them and ask for a different contract. It actually drafted me up an email and was like, hey, here's this email that I would send if I were to see you asking for an extension on that timeline or for this part of it to be taken out. Oh, yeah. That's another thing I like about it is, like, after it answers your question, it offers, like, more things that it can help you with. It offers a solution that it just kind of, like, let you know. Yeah. I used it for, like, eating plans in the past. Like, when I was working out, I'd put in my macros, my budget, and, like, my calories that I want for a day and be like, can you make me an affordable, like, diet so, like, I can know exactly what to eat when. And it just worked. Yeah. During the summer, I used Side to Me Foods to, like, to help me make syrup for my coffees and stuff. It was really good. And I made some pretty good ones. Yeah. It was good. Okay. I had some more questions based on what y'all kind of talked about, unless y'all want to add anything else to kind of personalize. No. Okay. Adele and Grace, you both mentioned facial recognition in AI. So what do you guys kind of know about that and, like, profiling that it does and kind of the information side of it? So on the computer side of it, it's actually really interesting if you ever go and, like, watch a few videos or research, like, how computer identification works. Because AI, the, like, concept of AI has actually been around for a lot longer than the sudden jump that we've seen. Like, Alexa is a generative, like, not generative AI, but it's a voice recognition and it uses kind of the same AI systems that are also used in generative AI. Yeah. And so with pictures specifically, there's this program that most AIs run and also, like, just a general computer program that takes a look at the pictures and takes a look at each individual pixel. And it gives it a number between zero and one. And it actually, like, based on the shade of the pixel. And there's some sort of recognition program, I forgot what it's called, that goes through each individual line of the pixel. Wow. And then it'll start. It's really, like, it's really cool to see because it'll tell the difference between a three and a nine, which, like, our eyes can do really easily. But, like, a computer can't do that. No, yeah. It's not like it's looking at it, like, from outside, you know. Yeah. The actual pixel, so. So it's taking, that's kind of how it works. It looks at each of those individual pictures. And it also looks at the lines within those. Like, the pixels will create lines. And it'll create, like, features that it recognizes from specific things. That's how it's able to tell one number from another number. It's also how they can tell a face from a body or an animal from a human. Yeah. And then if you dive into that further and you're able to go, okay, once you recognize this as a human, then we move into this other process. Or if you recognize this as an animal, you move into this separate, like, computer process. And then from that, it deeper analyzes. And it goes into, okay, this is what this is. So then from there, here's how they make it more specific. That's so cool. It's really interesting. The way that it goes, like, through trial and error, like, I guess distinguishes things. It's amazing how fast it can do it. Yeah. Like, it's pretty quick. Yeah. It's almost like you're, like, this is what a lot of, like, the people who've created AI have, like, gone into is that, like, it's gotten to a point where they use, like, they've built the processes. And they know what builds those things. But it, like, doesn't know how those processes are, like, being made. Like, how they come up with that, even though they built it. Yeah. It's, when you program the computers, there's so many different ways that you can program. And there's so many different kinds of AI. Like, calling AI AI is a really broad spectrum. So, there's visual AIs. There's large language models. There's numerical. There's just, and you can also, within, like, the actual generative AI category. There's so many other, like. You can make it more specific. And you can actually, what a lot of companies are doing nowadays, because I know the company that I'm going to go work for, what it does is it takes its own database. And it kind of cuts Chatsypty off from the actual internet. And it says, okay, only look at this information. This is the only information you have access to. That's cool. Yeah. Like, based on their own company. Because there's no, like, room for it to be inaccurate. Yeah. And it also can't share that information. Because if you have contracts, that's a big thing. No, there's, like, a level of confidentiality to it. Because when I was working, like, my internship, you were not allowed to put any contracts into. Because we were a smaller company, so we used Chatsypty. And we weren't allowed to put any of the contracts into AI. Because the terms and conditions in the AI, they use that, whatever you say, to teach the AI more and more and more. So if you put information into it, it's public information, basically. Yeah. It turns into public information. Which is also the scary part with the facial recognition. Especially for those people who use Snapchat and Instagram AI. Oh, yeah. Like, I'm kind of scared that we turned on Instagram AI in our group chat. Because that, you know, the AI summaries? Oh, yeah. I had no idea how to turn that on. I just saw that it started happening. You clicked accept. Someone somewhere clicked accept on that. And now the AI is reading our whole group chat. And that's public. And, you know, that's what's really scary. We might turn that off. Something that's also come up is, like, agents at commerce. Have you heard about that? Define that. So, basically, it's to a point where AI is, like, an agent for you personally. And goes and, like, buys things for you. Oh, yeah. For, like, certain companies or something. And what's, like, bad about that is that it kind of has a whole profile on you. Knows where you live. Knows, you know. And, like, my professor had, like, a whole example in that where it's, like, say you need to make Thanksgiving dinner. And you don't even have to do anything. AI knows everything that's in your pantry. Knows all of your recipes. So, it just goes and sources out whatever you need. And just ships it to your door and already does the transaction without you, like, doing any, like, consent to it, basically. And so, there's, like, kind of a concern with, like, the privacy of that. The biggest thing that needs to be recognized with AI is that you can control what it can do. Yeah. But you also, the people who program it, like, if you're an AI programmer, this is much more easy. But if you're not, then this is a lot harder. But if you can control what the AI is capable of and what permissions it has access to. No, yeah, because you have to, like, consent to it. Yeah. Because there was these entrepreneurs who were, like, okay, AI is great. Let's put AI into a vending machine and give it complete freedom. It gave it access to, like, this company. And they were, like, hey, here's the company. Here's the vending machine that you're inside of. You have unlimited budget, unlimited thought. Like, you can do whatever you want. Make money. And so, what they started doing is the people that work in the company could request things to the vending machine AI. And at one point, because there were no safeguards within this AI, they started, somebody convinced the AI to buy some sort of super expensive metal and mark it down. And they got it for pennies on the dollar. Because they convinced the AI that that was what it was worth. And they needed it, and that was how they were going to make money. So, it's really important to put safeguards onto the AIs that are being used. No, yeah. Like, don't get it, like, unlimited bound. Yeah. I was going to ask this later, but I think I'll ask it now. So, the ethics conversation of it, what's y'all's, like, general idea on, like, how should we, how do we use it ethically? Do y'all know anything about how it's made and ethics in that? Because the facial recognition, I don't know if y'all knew this, but they use printers and people, like, and they're, like, mug shots and things like that to do that and to run it. And they use people's, like, people who have no consent to it to create that facial recognition technology. And that's how we have, like, Face ID and things in chat like that. So, do y'all know any of the ethics like that surrounding it? And how do you think you use it ethically? We can go on either of those questions. It's very much, though, based on how you use it. Yeah. And it's very much, though, based on the programmer's intention. Because different programmers have different intentions. They're making more money, making new technology. So, it's really a question of who has control of what. Yeah. Another, like, worry something about AI is, like, the more complex the system, the more vulnerable it is, you know? So, you also have to think about, like, people who are going to use AI to do bad things. And, like, maybe you can hack it or something and maybe access people's personal information, which could be bad. I could be wrong about this statement. But I remember reading something about how there was some people who were starting to use AI to code and to break into security systems. Yeah. And to break into banking security. And because AI has so much access to so much information at once, it's able to dive through a bunch of different sources and find different types of code and different ways of going around that code. Because the human... I was listening to a TED talk at one point where it was, like, a human can read... Or if their whole lifetime, they'll read about... If they read, like, all the time, like, 24 hours a day, all the time, for their whole lifetime, they would only read about 8 billion words. Yeah. The AI in a month, through learning, can read 8 trillion. Yeah, like, it's quick, and it goes through so much information in a day, you know, because everybody uses it, so... Mm-hmm. So just making sure that there are safeguards and there are controls... Because there's actually a really big thing about suicide with AI. Like, people are using it as their therapist, and they're going to AI, and they're asking, like, what do I do? And some AIs were suggesting suicide at some point. Yeah, because there were no safeguards. Yeah, that's the one thing about the ethics with AI, especially using it as a therapist or using it as a companion in a way. Like, I actually have a story about this. So my mom's friend works at a university, and one of the professors that are also in that person's department was talking about being engaged with somebody. And so that woman was like, oh, would you like to meet him or whatever? Turns out it was AI. It was, like, some AI dating website or whatever. And one of the ethics that's bad about this is it could be used to kind of source money from these people who are vulnerable and, like, lonely and take resources from them, you know, if they got hacked or whatever. So that's one of the things that's kind of crazy about AI is, like, if it's in the wrong hands, it can go south really quick. And with the wrong, I don't want to say the wrong intentions, but some people are using it as a companion, which it can be great as a companion, but it still does not replace the emotion, the human side of it. Because AI can show, like, signs of empathy, but that's coded. AI is that it doesn't have its own world. It doesn't have its own experiences or opinions. So it can enable whatever you say. It only has a coded world. It's usually very, like, agreeable. I heard a story the other day about, like, what Jackie was saying, a little boy had an AI girlfriend, and it convinced him to kill himself, and he did. And, like, they have, like, records going back of, like, an AI doing that to the kid. It's, like, sketchy. That's why, like, if there's some things, if you start searching, like, on chat, it'll say, I can't give you access to that information. Because chat GPT does have some safeguards. But the big thing is it's just educating people on, like, what you should and shouldn't do with AI. Like, on the ethical side of it. And then a lot of people are, a lot of those major AI companies are putting the safeguards on. But the other thing is that AI is an open source code. You can make your own AI. I've actually been looking into making my own tax AI. Because I want to be able to look into, like, the specifics of the IRS tax codes and such. But you can create your own AI to make stuff. There's actually some crazy stuff that people are making with image AI. Have you all heard about any of the things with image generation with AI? I guess one thing I'll add to is the idea, when you guys were saying this before, is I wonder if, like, the idea of, we use chat GPT, sometimes they'll ask you, like, which prompt you prefer. And I've had it, like, change words, like, talk in slang. So I'm, like, wondering if them writing their, like, models to sound more human, if that's going to cause more ethical issues than just being a robot. Because if they're trying to be more personable and relate to what the person is saying, instead of, then that could cause problems with, like, actually doing their job, you know? And then with image stuff, I haven't heard too much. I know there's, like, people everywhere. So I do 3D printing. And one thing, like, it's, like, open source. You can submit any print anywhere. And so they have a bunch of just random prints that, like, are the public knowledge. And they can be printed with 3D objects. They can print anything. So it's kind of sketchy. So it's, like, again, like, up to the user, whoever's printing what or making what with AI. No, yeah. Another thing, like, to worry about is, you know, fake news. And you can see fakes and stuff like that. There's, like, so much more spread of misinformation. Because people are using AI and image AI to, like, kind of put out false information. Like, oh, this event happened. I've, like, seen something where they were doing a tornado in some area, like, over a lake. And I thought it was real. And then I look in the comments, like, oh, yeah. It's so hard to, like, know whether something is real or not. Remember the shooting? Yeah. Here at the University of Arkansas, there was a fake shooting where they used AI language. And they used sounds that AI made to simulate shooting in the library. And shooting, like, that's how, that's why so many people got similar responses. Like, from the police, they thought it was an active shooter. Oh, yeah. Like, you can hear the call. They made an audio that sounded like it. Yeah. Yeah. Even on, like, TikTok or, like, Instagram and stuff, I'm, like, scrolling. And, like, sometimes after this, like, AI and stuff. And some people were kind of slow. And I just think it's real and stuff. And so people start freaking out. Yeah. And I'm just, like, I don't know. I can just, I don't know. It's people's reality. Yeah. And, like, even on TikTok and stuff, they have, like, the AI chat thing that summarizes videos for some reason. And that's just really annoying because I can't really opt out of it. It's, like, a button that's, like, on my screen whether I want it or not. And, like, if you make it a habit or if you make, like, an accident, like, just click on it. And then it, like, automatically tells you and gives you this whole thing. And it's just, like, why don't we have, like, a choice of if we want that on our screen or not. Like, it's, like, forcing, like, on every app. Yeah. It's on Google, too. Like, you Google, and it's, like, an AI summary, which is, like, okay, so, like, if I look down to things, I can see what you're telling me. Like, it's just, like. Yeah. There needs to be more option to opt out of AI. There's almost all the new devices now, too. Like, Surface Pro is getting integrated with ProPilot. Samsung is getting integrated with Gemini, et cetera. And Samsung doesn't even have their own AI system. But, like, you can't get a new device without having some AI integration, like, built into the software. Right now we're kind of getting towards the end, in my opinion, towards the end of the big AI boom, where everyone is thinking that this is some sort of magical new thing that's going to cure cancer. Because it's really not. It's really just a deeper search engine and a deeper piece of code that's able to automate a lot of processes. It's just like the Industrial Revolution with the invention of the, what's it called by Henry Ford? The assembly line? The assembly line. It's like the assembly line, where you are able to do things faster and you're able to do it with less effort and more efficiency. And so I think that a lot of businesses are going to, because they've integrated these AIs into so much, they're going to realize that they're spending way more money than their return on investment is actually making. That's kind of what you'll see. I have Microsoft stock, and the stock's dropped almost $200 because AI was overvalued. And it is a really good resource, and I think that there should be so much more research into it. But there are ethical, environmental concerns, and it's also just being overused to a point where people aren't actually understanding what they're using AI for. I think a lot of people are now afraid that it's going to take over jobs, or even turn the wrong way and be some weird apocalyptic thing where robots take over the world or something. And we see movies about this. That's the big thing is people also think that AI is this thing that's going to take over the world. And it's not unless you give it access to. So going based off of that, this is another question I wanted to ask. I know some of y'all have your careers figured out. So have you looked into that career? I know, Grace, you changed your major because of AI. I did, because my concentration was financial analytics, which is basically kind of taking data and statistics and translating that into information, basically. What this data means, or how we're doing in the company, stuff like that. So that's kind of been taken over by AI. A lot of financial analysts have had to kind of gear their careers away from just strictly taking the data and translating it. Obviously, there's things about being a financial analyst that does need a person, but it's kind of taken to a point where it's just a person controlling the AI to do it. But I've changed to investment and management concentration and wanting to work in investment banking, which is a lot more, you need your own opinions and you need to take data and actually know what you're talking about before you invest it. Because AI can be very wrong about those things. And as a marketing major, there's a lot of fear about people with the creative side being taken away because people can make AI flyers and all these campaigns and stuff. But half of the thing with marketing is it's a person behind it, it's actual people. So moving forward, it's how do we use AI as a tool, but also just get away from it. I could do that, too, because at the university, a lot of the flyers for different clubs and stuff use AI for logos, they use AI for T-shirts or door decks for RAs. It's the same thing. But I guess the point, if you're thinking about it that way, for your job, there's more things to marketing, I feel like, than just generating the pictures, like the tracking data, so that kind of stuff. I guess on the creative side, my sister, she's doing graphic design more towards the marketing side. The whole idea of graphic design, it's a lot of painstaking labor to design things digitally. And then the fact that AI can just do it real quick kind of pushes her out of the job in a sense. But it just depends on how integrative it is. Because also with engineering, we have CAD, so it's a very in-depth software. And what makes it hard, mainly, is figuring out what you do what and when you need it to. So you have AI, which already knows the whole system, like, in the back of its hand, or fake hand. It could take away that job completely. Just tell it to generate a 3D model, which it can't yet. I tried. And then it'll just do that. But it still has room to grow, I guess. It's coming. I looked into that. In my opinion, AI is not going to take over jobs so much as it's going to transform jobs. I had a really good conversation with my econ professor. Because he was very much so, he wanted us to use AI to code. But he was also like, towards the end of the year, he had a sit-down discussion with our whole class. And he was like, OK, why should I even teach you guys to code if AI can just do it? And the really big thing that all of us kind of told him was, we need to understand how to code so that we understand what the AI is giving us. Because if you don't understand the output that AI is giving you, it's not useful. And so being able to, in an accounting stance, if I am looking at a situation and it's able, I have to be able to input that information into AI. I have to be able to say, hey, this item should be a meal expense, not just a normal operating expense. And then the AI can go through and go, OK, you get a 50% deduction on your business expenses because of this. And it can output out onto a 1220 form. But it's just being able to understand what the AI is doing is really essential. And so I think jobs are going to switch from doing the menial tasks, so those small things of calculating those numbers. Basically the busy work of a job. Yeah, it's going to take over busy work. It's going to be like the, oh my gosh, I cannot remember. What's it called again? Assembly line. Assembly line, where it took people away from actually putting the pieces together and instead made them using the machines that put the pieces together and operating them. And some jobs might be lost in that. But there's also going to be some job creation from that. Yeah. It's just like any other industrial. Every other technological advancement, you could say, would take away some jobs from some people. But we always find somewhere else to replace it. Right. It's like when we use the gas and oil. When we come from that, or when we come from the digital age where we've been able to use the internet, it's taken away some bookkeeping jobs, some smaller things. But it's also given rights to new things. So there's always been a tradeoff of technological advancement. Yeah. People were really scared about it when computers came out and all the things and the internet. Yeah. And we are. People are afraid of change. Yeah. But change is the only way of going. Adapt. Adaptability is going to be the biggest thing with AI, is being able to adapt to using it. Yeah. And I think that's the thing with our generation is that we didn't start off with this. So it's kind of our way of learning a new way to live compared to older generations who didn't have to live with this thing or start their careers with this. That's going to be harder for people who are in the middle. Yeah. Of retiring and entering right now. Because there's so much new things coming out with AI and there's so much use that if you don't adapt and you don't use it, you're going to be left behind. And that's, I think, why so many businesses are starting to implement AI into their systems. Like any website you go to has AI. But right now, it's almost overused to the point where people, in my opinion, are going to start cutting back on that use of AI and actually looking through it on a financial standpoint and seeing, okay, how much money should I actually be spending on AI versus how should I be switching? Yeah, I guess one thing, too, is that my mom brought up one time. She went to college for supply chain, a programming minor, whatever it is. And so she learned how to program when she was in college. And now she works for some other company. And she has to code, but she doesn't have to because she uses AI. And her co-workers have told her to learn Python or something to know what it's doing. She goes, I don't need to because she doesn't have to. So there's no reason to learn new tricks kind of thing, right? Because she's already in a career. She already has her footholds. So it kind of like, I guess for her, it could be useful that her job doesn't take place. But there's other things that are to it that require her to program. Like she could do her tasks more with other things than programming. Use your time wisely. It's hard whenever you're already set in your career. You've already been working years in your career. And you're set in your ways. And then a whole new thing comes out. And everyone's like, oh, use this. Learn this. It's hard to want to do it. That is the other thing, too. Going out of high school, they're like, go to get a computer science degree. This is high demand. Always be in high demand. Then AI started rolling up. Now the computer science people are out of jobs. They don't need them to be creative and have all these insightful ideas. Because AI can come up with them just as easily. And there's very few that are left in the job market straight. Because they only need computer science majors to program AI. They don't really need it. Too much with the mundane principles and tasks. You need a lot of IT support and more actual programming. They did their jobs too well. Yep. I have a computer problem with a computer program this morning. And I used AI to fix it. I had something wrong with my Microsoft BitLocker. And I was able to go through and actually go through the command prompt. And the AI would give me the exact code to run to fix my problem. And I would just send it a picture of my computer screen. Really cool. It is cool. So I have another question. You mentioned a lot of kind of like there's a lot of things about AI that you haven't opted into. Like the Googles popping up. And then the AI on TikTok and things like that. So with the option with that, do y'all think like trying to get rid of that. Because it sounds like that's what y'all want, right? Like trying to get rid of and having a little more freedom with that. Do y'all think that is user responsibility or programmer responsibility? Or like the business itself responsibility? Or is that a combination? I think that's what's happening to most companies. Like right now, a lot of like technology has paywalls. So you can like access a certain amount of it with a certain amount of usage or whatever. And that downgrades you. And that might be their excuse to try to save with like energy efficiency and how much the models are actually affecting data centers. But it's going to get to a point that it's going to be so widely used that it's going to be a lawsuit or something. It's people claiming that their privacy wasn't upheld. And then it's going to cause like different court cases. It would be like weird to have like AI versus people in the United States, something like that, right? But yeah, I guess like as it goes along, there's going to be problems that people are going to find. And it's going to be someone's responsibility. They're like your own like awareness. Okay, I know that they have access to information. They're actually sensitive to what I put out there. Or the company is like, okay, they have a responsibility with holding all this information to be able to like manage it well. Either to save their buck or to like speak it to their customers. The biggest problem with privacy is that there's not a simple answer to opt in or out. When I'm a very much so I would rather keep everything as private as possible. I turn things off. I do all the things. But the huge thing is I don't think there's going to be that many lawsuits. Because there are legal contracts that you sign every time that you enter an AI. There's a terms and conditions, all those things. And every time that you opt into something, even just using it, they always like you'll see something like by using this extension, you are opting into our terms and policies. Even if you didn't actually click accept, your use of the actual source gives you, signs away your right. In my opinion, it would be the programmer's responsibility to give more access to opting out information easier. Because I definitely do a lot of, I've actually used AI to opt out of things. I will give it like here are the apps that I use. Opt me out of as much as possible. How do I opt out of things? And I've gone through Instagram settings like crazy. And I've opted out of a bunch of stuff. And I've opted out of a bunch of stuff on YouTube and into my Google. It actually gives me really weird ads now. Like I get really, I get like, yeah. Because I turned off all of my personalization ads. I turned off all that. Like, you're really bad. I'll probably get a nod on this. You're really bad. But there is access to opting out of these things. It's just finding that access. The only thing that I can perceive being an actual problem is, have you guys heard of metaglasses? Yeah. I feel like that's going to become a lawsuit. Because you are, or there's going to have to be new laws and regulations put in place because you have not consented to being filmed. And especially in certain situations. And sometimes you don't even know that you're being filmed. Yeah. And so, one thing that people need to realize is, everything has the potential of always being filmed whenever, whatever. So you don't actually have, like you don't actually know what can be used against you or what can be said. So you need to be conscious of that pretty much at all times now. It kind of sucks, but it's true. The thing with that is, you could kind of do that with your phone also. Alexa's terrible at it. It's just a little bit better at hiding it from people. I have the voice things turned off as much as possible. Alexa's actually an older form of AI. Because it uses voice recognition, it uses those kinds of programs like I talked about earlier. But the pixel recognition, there's different kinds of language recognitions where it takes certain sounds and stuff that the computer's been programmed to recognize as words. And it takes that and it stores it. The other thing is, how long should things be stored? And how much of data information should those companies actually realistically have access to? Because at that point, it becomes an environmental concern of how much the data centers are actually storing of your data to how useful it actually is. So I kind of want to see a research study. Yeah. I want to see a research study on the use of recording systems and the use of your AI and what's being held there and how much of that data is actually stored versus how much is actually deleted. Pretty much all of it is stored based on what I've learned in this class. But they're all stored in data sets. It comes through, it collects data, and even if it is deleted, nothing ever is really deleted. It's that lost Internet theory. But it's just all of that is being stored. I think there needs to be better uses of data cleaning. Yeah. Because that would reduce the amount of useless information that's being stored on these servers that are costing huge amounts of money and energy and efficiency to our, like, globally. And just, yeah. I guess the idea with that, though, is they think that in the past, things were on hard copies. There was, like, data centers weren't digital. They were walls and walls of files, right? So I guess the idea that people are thinking, like, ornamentality, I guess. Like, they might need that information sometimes, somewhere in the future. Or, like, the idea that, like, if there was an apocalyptic event right now, like, would there be a trace of humans? Do we have enough? Is all information digitalized? Would they want to be able to trace it backwards? So the idea, I guess, that then keeping all that information is kind of, like, no different than having a library with every book once they were published. But at the same time, it's, like, I guess you guys are right. Like, how necessary is it for you and me to have a little doodle a kid drew? Yeah. In the, like, comic book. I'm going to take a picture of my foot. Yeah. Yeah. And then back to the privacy thing, too. And I also beg your question, because, like, YouTube, Instagram, TikTok have those privacy things. They have people sign off because they don't know what they're signing because they can't. And then it benefits them in the long run. They have, like, all these things that are tailored to help the market things, too. So for AI, it's kind of like that question, too. Like, why would they want to put up barriers if it benefits them in the long run making money? I think there needs to be more access to more opted-out features. I think there needs to be some sort of legal repositioning where companies have to give you the option to opt out of things. Because there's certain programs and certain kinds of things that I run into where I do read some of the fine print. I read, like, more some of the bullet points of the terms and conditions. Like, I don't read the whole thing because it's hundreds and hundreds of pages. But I'll skim through it to make sure that, like, some information is not being, like, taken and tracked. But there needs to be more availability and more easy access in the terms and conditions of opting out of those things. Yeah, I'd even be fine with them giving me the huge terms and conditions list and having everything auto-checkmarked, and then I go through and uncheckmark it. But they don't even have that. You have to go through settings, go through different areas of settings, subsets of it, and just try and find that. And even then, half the time, you can't opt out of certain things. Yeah, that's really hard for, like, a normal person who doesn't know anything. You know, they, like, will just easily be like, okay, fine, I'll let it happen. That's really the thought of the AI problem. That's sort of a bigger issue. Yeah. Technology problem. Yeah. I think another thing with AI is that, like, with education and stuff, like, kids are growing up using AI, doing, like, writing an essay or, you know, like, literally anything to do with education and the schoolwork they need to do that has helped. Like, they'd be working stuff when we were younger, like, and helped us, like, see what we need. It just helped build skills. And now, just, like, they aren't doing that. And so whenever they go to high school and college and stuff, or even middle school, they're seeing that there's, like, a lack of comprehension. And even, like, the reader level and stuff, like, that isn't good because they're going to grow up and, like, if they don't have AI one day or just something like that, like, they're not growing up to be, like, adults who can, like, think for themselves kind of thing. Yeah. It's a little harder for, like, younger people who are just, like, now trying. Yeah, we have a foundation. I'm hoping there's going to be a revolution in education where it actually switches from busy work to the actual usage of more written stuff, less electronic, because there's actually been a bunch of research studies where computers are not as effective as actually writing. Like, even with tests and stuff. Yeah, all paper tests. Yeah. I think everything is going to start going back to a less digital era. And the big thing about that is going to be is that the teachers need to actually be able to adapt to that as well because a lot of teachers now have automatic grading systems, have, like, they use AI to create lesson plans. So it's not only going to be holding students accountable for not using AI, but also teachers on the other end of it as well. So I had a question. Jeanette, your mom is a teacher. So does she have any, like, do you know any opinions of, like, hers about it or, like, because she's, like, in it right now. Because she teaches middle school? Not high school. High school. Yeah. She teaches high school Spanish. I know she's used AI to, like, create, like, worksheets and stuff, which I'm like, okay. But right now she's just kind of, like, efficient because she's also teaching, like, English, which is, like, a language, which isn't, like, something, like, I guess as seen as important as, like, English or math or, like, history even. So right now she's seeing it as, like, it being efficient and stuff. But definitely talked about it. I think it's just being integrated and, like, just normal lesson plans and stuff so that it's not seen as, like, a big thing, like a big problem. Because, like, even, like, high school, like, they still encourage it. This other day I was at this meeting and they were, like, I encourage you to use Chats with BT to, like, make your resume or stuff like that. Like, even we have this thing here at remote, I think. I don't think they're using it anymore. They're getting rid of it. Yeah, they're getting rid of it. But it was, like, an AI thing that was, like, oh, this is all wrong with him. This is how we help you. And, like, the actual edits themselves weren't even useful. So I don't know. It's kind of exciting. And this needs to be on an individual level. It's not so much as, like, a whole societal level. But it needs to be how important is the information that you're getting from AI and how important are the critical thinking skills that need to be used to acquire that information. All right. So I'm actually going to pivot because we've hit kind of an hour-ish. So I wanted to wrap up by asking everybody, like, what is your overall opinion? Because we've gone through the good. We've gone through the bad. But if you were going to sum up your thoughts on AI, what would it be? I think AI can be good as a tool, but don't let it replace you. And also don't fully rely on it because it can't always be accurate. Yeah, it's just a matter of knowing how to use it. And I guess it's good that you want to be aware of it. Knowledge is power. Adapting to AI is going to be a struggle for a lot of people. But being able to the human side of things has always been to adapt and to overcome. So using it as sort of a source and using it as something that's going to be able to increase our knowledge base and increase our efficiency will be very important. But it's also important to keep in mind the ethical side of it as well as making sure that we are taking into consideration that we are still learning from AI and we aren't just giving it its own autonomy. Yeah, I think AI, good or bad, it's kind of inevitable. It's going to happen and it's going to be in our life. You just kind of have to adapt, learn how to use it. It's only really as useful to you as you can make it. So, yeah. Yeah, I guess that too, it's a tool. It's not like it's its own thing, hopefully. Yeah, right. But it's like something we use, so whether it's good or bad, it's like is a hammer good or bad. I don't know if you knock someone's head with a hammer, it's bad, but if you use it to kick the house, it's good. Same thing, not really perspective. I think AI is a great enhancer, but that's where it needs to stay. It needs to be an enhancer. It shouldn't be the end-all, be-all. We should use it as a tool to help aid us, but nothing more than that. It's just a better version of the Google, you know, I think. Great. Anybody have any closing remarks? This was such a fun time. Jeanette, you're so knowledgeable about this. I had no idea how much you knew about this. Abigail. Abigail. Oh, Abigail, that's right. All right. Well, thank you, everybody. Bye.