Benchmark Happenings
Brought to you by, Jonathan Tipton & Steve Reed of Benchmark Home Loans, Benchmark Happenings is a podcast that is a biweekly discussion about living in and moving to Northeast Tennessee along with the local real estate market. Join your host Christine Reed as she interviews Jonathan & Steve, local business owners, sought-after industry experts, Veterans, Realtors, Benchmark clients, and more.
Benchmark Happenings focuses on discussing all things related to mortgages and Northeast Tennessee. Placing the spotlight on all the reasons you would want to live in and move to Northeast Tennessee, Benchmark Happenings highlights upcoming events, local businesses, things to do, and other aspects related to Northeast Tennessee. We will also be answering mortgage questions from buyers, sellers, and real estate agents as well as discussing everything going on in our local real estate market.
To help you to navigate the home buying and mortgage process, Jonathan & Steve are currently licensed in Tennessee, Florida, Georgia, South Carolina, and Virginia, contact us today at 423-491-5405 or visit www.tiptonreedteam.com.
Benchmark Home Loans | NMLS # 2143
4138 Bristol Highway
Johnson City, TN 37601
Jonathan Tipton
Senior Mortgage Planner
NMLS # 1188088
jonathan.tipton@benchmark.us
Steve Reed
Branch Manager
NMLS # 173024
steve.reed@benchmark.us
Benchmark Happenings
Harnessing the Future: Austin Ramsey's Insights on AI Integration and Data Privacy in Today's Digital Landscape
Our conversation doesn’t stop at awareness; it dives into actionable insights. We tackle the critical issue of data privacy, especially in the context of popular platforms like ChatGPT and Facebook. Learn how you can take control of your personal information by fine-tuning your privacy settings and understand the trade-offs between convenience and security. The episode provides practical tips for protecting your digital footprint while highlighting how AI services, like Google Maps and Waze, balance user experience with data utilization.
As we navigate the ethical maze of AI, we scrutinize its impact on sectors like educational publishing. With McGraw using AI tools like ChatGPT to craft textbooks, we raise essential questions about the accuracy and control of AI-generated content. Drawing parallels to the early days of the internet, we advocate for consumer education and legislative action to ensure responsible AI development. To end on a high note, we celebrate the positive possibilities of AI, exemplified by the creation of a new Randy Travis song, showcasing the harmonious blend of technology and creativity.
To help you to navigate the home buying and mortgage process, Jonathan & Steve are currently licensed in Tennessee, Florida, Georgia, South Carolina, and Virginia, contact us today at 423-491-5405 or visit www.jonathanandsteve.com.
is Benchmark Happenings, Brought to you by Jonathan and Steve from Benchmark Home Loans. Northeast Tennessee, Johnson City, Kingsport, Bristol, the Tri-Cities One of the most beautiful places in the country to live. Tons of great things to do and awesome local businesses. And on this show you'll find out why people are dying to move to Northeast Tennessee and on the way we'll find out why people are dying to move to Northeast Tennessee. And on the way we'll have discussions about mortgages and we'll interview people in the real estate industry. It's what we do. This is Benchmark Happenings, Brought to you by Benchmark Home Loans, and now your host, Christine Reed.
Speaker 3:Welcome back everyone to another fantastic episode of Benchmark Happenings, and today the star of our show is Austin Ramsey. Austin, thank you for being here.
Speaker 4:Yes, so glad to be here.
Speaker 3:Oh, I'll tell you what. You did such a great job on the last podcast. I thought you have to come back because we talked, we got into some other things that just really we needed to come back and talk about.
Speaker 4:Yes.
Speaker 3:And so for those of you if you missed that podcast with Austin Ramsey, I highly encourage you to listen to that. But he also owns Point Tech. Austin is just a phenomenal entrepreneur that has just. He tells about his life and all the great things he did just from a young age to now, and his whole motto is crush the box.
Speaker 4:There's a lot to crush. There is a lot. Keep on crushing.
Speaker 3:And you are. You're just. You know you don't think outside the box, you crush it. Let's just start over and do something else. Yes, yes, and I love your excitement, I love your ideas, Austin, and you are such a people person and so intelligent, but you truly care, and for any customer that reaches out to you for any IT issues or developing their systems or writing programs, you are the person to contact right.
Speaker 4:Yes, thank you.
Speaker 3:Yeah, absolutely, and I can tell you we have experience with Austin here at Benchmark and me personally with my company, and Austin's come in and helped me and just done a great job, and just so appreciative of those of us who are a little older.
Speaker 4:Technology can be very complex, so we try to make it simple and you do.
Speaker 3:You do make it simple. So our last conversation, last time we started getting into artificial intelligence and you know that is something that I don't think we realize how much of that is already embedded in everything that we use. Am I right, austin?
Speaker 4:Yes, no, I mean, you know it's interesting. I was just recently at a conference a geospatial mapping, so think of Google Maps, you know site locations where the next Starbucks is going to be, and one of the speakers was just talking about how much AI has been embedded in our lives, way before we ever heard the word. You know this word AI, and I think ChatGPT has kind of become the Walmart consumer brand when people think of AI they say ChatGPT, I mean there's other.
Speaker 4:You know there's other examples of these. You know, facebook recently are now meta, what they call meta.
Speaker 3:And I hate that on my Facebook.
Speaker 4:It's and unfortunately, that's a question I hear a lot from clients customers, you know like what is meta AI? You know what do I? How do I get rid of it? The sad part is it's becoming a world where it's not getting rid of it, unless you just completely disassociate with that platform, which is starting to become a challenge. One of the most recent announcements for those that aren't aware with iOS 18 on all Apple devices coming up in the fall, apple is starting to embed AI very deeply into the platform, even to the point that they're going to actually integrate with ChatGPT.
Speaker 4:Now their promise to their consumer is going to be that we're going to protect your data.
Speaker 1:It's going to be on the device right, it's not going anywhere.
Speaker 4:How do we really know where our data is going? I mean because we know it's getting out. Right we know that it's you know.
Speaker 4:Take an example of going to shopping on Amazon looking for an item and next thing, you know you've found it on 10 different websites on ads, or you're talking to someone about something which I do think is a distinguishment, now where we are so advanced with how these algorithms work that these algorithms really start to really understand who you are. Yes, they're getting really good about. I mean, they have your credit card data, they have your location data, they have your shopping history, they have your email if you're on a Gmail account and companies are making fortunes on that. That is the new goal.
Speaker 3:They're after our time. Yes, if we spend like I'm a shopper we talked about this last time so I'm always getting these shopping notifications and even on all of my social media, if I buy something from a particular vendor or store, then that's constantly coming up. So Austin I want to go back to and I really want us to talk about to help the audience understand artificial intelligence and I'm sure there's a lot of people that have a better understanding than I do, as well well, I mean how we can put some safeguards around it.
Speaker 3:So I'm just going to read what I wrote down. I looked up Webster, and Webster said the capability of a computer system or algorithm to initiate human behavior and imitate human behavior. There was another one that said that making machines be able to recognize patterns just what we talked about make decisions and this last part really bothered me judge humans.
Speaker 4:Yeah.
Speaker 3:So why is it that, if AI has been around for so long, austin, and then we're just now, kind of since, I guess, a couple of years, hearing more and more about it, how did that? How did that come about? Why are we hearing about it?
Speaker 4:it's already been in there so you know and I'll go back to a previous point I made I think it goes back to sort of how you consumerize that's the term I would use how you consumerize something right. So AI has been a term that probably four or five years ago, the average person on the street would have had no reference to. They might have heard the maybe heard the word reference to. They might have heard the maybe heard the word. Today, if you walk to someone and say, do you have you heard of or do you use chat, gpt probably more than more than not, they're going to say yes, um, and. So I think what it is is you've got. The media has started to expand on its coverage, um, and, and these other platforms like facebook, you X now, or Twitter, formally, snapchat, instagram all these platforms that the average consumer probably interfaces with is using this terminology now, so it's become almost in every person's dictionary. But I do think it's a question of how do we control what goes in and out of that model?
Speaker 3:Yes, and that's what I want us to talk about. That a little bit. Help us understand. You know how we can do that. What are some safety parameters that we can do, or just maybe better understand?
Speaker 4:it, Sure, sure, I mean. I think some of the first things that come to my mind from a safety precaution is you know, what are you allowing to be what I sometimes call scraped off of your accounts, right? So there's different ways that AI systems or technology or different services pull that data. Some of it is generally just off of what we call web scraping, right.
Speaker 4:So, you've got a website, you've got a Facebook account, you've got a Twitter account, et cetera. If those accounts are public, they can scrape data off there and they can store that information, and so that's where a lot of your surface level artificial intelligence data comes from. So one safety precaution is, you know, make all of your social media accounts, things that you post. Make those things private to your group of people. Now, that's not going to, you know, eliminate that data from that particular provider. So think of, like, let's use the Facebook example right.
Speaker 4:If you've got a public Facebook account, any type of AI service can scrape data off of there, but if you make that private, then only people that you're friends with or that you're connected to as well as that service could access.
Speaker 4:So, like in the Facebook example, only Meta could pull from that data. So I think it's kind of doing a sometimes what I call a information tech checkup right, Looking at all of the services that you interact with and you know, just trying to get an audit of what's public and what's private as step one from your own information perspective.
Speaker 3:So that makes a good point on Facebook. So when you're getting ready to do a post, it asks you do you want it private or public?
Speaker 4:Correct. So if it's private, it's just going to go to who you're friends with, to the people you're friends with. But if you do, public posts, which and it becomes a question of you know if you're trying to share. Maybe you're trying to share something, maybe it's a lost item. Let's just use that as an example. A lost item and you want everybody that can see that post to share it. You might make that post public, right. But if you're posting about your family or photographs of family and friends or activities that you're doing.
Speaker 4:I highly suggest all of my posts are private, unless I make them public, and so that's just something to verify, but I think you know one of the other sides of this whole coin is you know you have to ask yourself, you know what services are you going to interact with At some point? By interacting with a particular service or company, you know you're to some degree, letting go of some of your data privacy, right? I mean, by having a cell phone, unfortunately, we're letting go of our trackability. I mean, we can be told that this device is not following us, that it's not listening to us. Is there really a good mechanism, though, to verify that? From a general consumer perspective? Yes, I mean you can tell what apps are using your location, what apps have control of your microphone, but does the average consumer go to that depth to check that? Probably not. That Probably not. And so you know you have to ask yourself and that's where this becomes a very kind of a two-edged sword on. You know we want things to happen fast.
Speaker 1:We want things to be instant.
Speaker 4:When we want to look up an answer, we want to know the answer before we looked it up, right? That's what.
Speaker 1:AI is about.
Speaker 4:It's about predicting and helping us understand things really before we ever even thought about it. So it's in front of us. But that comes with a cost of feeding the data that can help make those predictions. You know, think of, you know traffic, you know, like Google Maps, you know these map apps are starting to use AI to predict where a nearest accident could happen.
Speaker 1:Well, how are they?
Speaker 4:doing that Because they know when you're using Google Maps, they know where you're at. And if they detect you slowing down they can put that onto a map and over time they can detect a pattern. So in real time they're going to update that trip time. To say it's probably going to take an extra two minutes because we have an often slowdown at this location.
Speaker 3:So that's kind of like Waze the Waze app, because it's always doing that. Yes, you know there's a slowdown up ahead. Well, there may not be an accident, correct, but it's just where the algorithms are predicting, where people have slowed down.
Speaker 4:Now and some of it's self-reported and actually Waze now is owned by Google. Believe it or not, google bought out Waze now is owned by. Google. Believe it or not, google bought out Waze Really, so they're tying those two together, yeah.
Speaker 4:That's the big thing If you start to look on a large scale. You know, in the stock market we call it the big seven, but it's really the big seven that sort of is starting to control our technology data footprint right, and I think that's been the issue all along in this country and the world is.
Speaker 3:In certain sectors, all sectors of business, you end up with these large companies, conglomerate corporations, that are controlling everything. Yes, and the people that are overlooked and left behind? It's always us, the ones that are the backbone that makes the country run, pays the taxes, and it's just like where does it? How do you control that?
Speaker 4:I mean, well, you know, and that's a conversation that I've had with some people, you know, because I am definitely a, you know, a small government person. I believe in big government is not great.
Speaker 3:Right, it's, smaller is much better.
Speaker 4:Smaller is always better, yes, so much waste, so much duplicity of services. It's unbelievable we could get a whole other session on that we could do a podcast.
Speaker 1:We could talk for days on that.
Speaker 4:But you know, it really does become a question of at what point do you have rules and regulations that come into play? I mean, we know from a financial there's financial rules and regulations that happen. Often they get breached. So the question is, how effective are these rules and regulations, these safeguards that get put into place? I think it's more.
Speaker 4:I always say the consumer truly drives the market In a free economy, in a free market the consumer drives the market, and I think it's a point to where consumers as a whole have to come together and say wait a minute, if you are monetizing off of my data, you're reselling my data and we know, that happens, it happens all the time. Where is my involvement in that? I never gave you permission, Of course. In their 15,000-word agreement that you probably signed.
Speaker 3:that gets modified in real time. I accept. I accept who has time to read that You're not?
Speaker 4:going to send it to an attorney because they're not going to interpret it well, but it becomes a question from the consumer to say, hey, wait a minute. It's time that we are recognized that, yes, you're taking our data and we're not getting any type of I mean. Of course, the other side argues that well, we're making your life better. We're making it easier, we're making it faster, so it becomes that constant balance on who's really winning. Now we know who always wins the big corporations definitely win.
Speaker 3:Also, the other benefit is like with the business. You know you have free advertisement for your business. You know, because everybody's on social media and that's how we. You know we post things, even this podcast you know we post it, um, so you do get that, but so I'll tell you. I had an interesting conversation the other day. I met a young lady who is director of AI for McGraw. Oh.
Speaker 3:Yes, and so we were talking and I said so, I'm just trying to learn a little bit about artificial intelligence. And I said what does a director of AI actually do? So she was telling me and it's like you know, they publish textbooks, so they're using that with Chat, with chat gpt, to write their textbooks. And I said, well, I said, so how do you control what comes out? She said, oh well, it knows to do all these google searches and if it finds false information, it doesn't print it. And I said, well, wait a minute. I said who's deciding what's false?
Speaker 3:I said pre-covid and covid. We've had more false information than ever on, all you know, search engines, especially google yes and she said well, we were putting like roadblocks around. I said so at the end. Are those textbooks being reviewed? Oh, yes, we review them, and I said so if you're sending all this information? I said how does it work? How does it produce that textbook? She said we don't know. So I'm going to give that to you, austin. So I'm going to give that to you, austin. So we don't know.
Speaker 4:If you don't know how something, you feed it lots of data. Help us with that, and I think that's one of the big questions too, in terms of not just in the education landscape, but in the business landscape, people that you know what's like ChatGPT. I could open ChatGPT right now. You can talk to ChatGPT like you're talking to a person, and there are certain concepts that are very helpful. If you're looking for I'll give you an example. You know, if you're needing to reply to an email, you can have a conversation with ChatGPT. Give it the parameters of what the conversation was about and give me a response. It'll respond with a response. You can tweak it and say well, I was really looking for it to be a little more direct, or I want it to sound a little more professional, and it will revise that. The question is is are people really refining what is being generated? And I think that's to your point of if we just trust AI to produce content and we don't have that human level of control.
Speaker 3:Yes.
Speaker 4:You know we're putting AI against other AI right. A lot of these fact checkers I hear that concept those are AI programs, or I should say, ai powered programs. That's fact checking Right. And what is fact checking? That's fact-checking Right. And what is fact-checking, what it's fact-checking right? And so I think it becomes this constant, like a dog trying to catch its tail, just constant circle, that is….
Speaker 3:And it has to be trained.
Speaker 4:Yes, and it's trained on what it's fed Exactly.
Speaker 3:That's my point. Yes, yes, and it's trained on what it's fed. Exactly that's my point. Yes.
Speaker 4:Going back to the, you know, if you feed it one thing, it's going to learn to produce that one thing, and we do know how I mean. There is evidence, there's Senate reports on what these large companies were censoring and protecting the information so we know that's happening.
Speaker 4:And that, I think to me, is the greatest risk with AI is you know, is it really going to be open? We have this term called open source in the data world. Right, we can allow data to flow between different softwares and different industries right, it can be a great thing. Different softwares and different industries right, it can be a great thing. But also, that's if you allow all data to flow, not well, we don't like anything that has this word in it, or we want to filter out anything that has these phrases in it.
Speaker 1:And we know that's happening.
Speaker 4:I mean, we've seen that happen, so I think that's where we're at this very. I feel like we're sort of at this pivotal point with AI, to where it's consumerized. People know what it is.
Speaker 4:They're familiar with it now. They know it's involved in their life. But where does it go? And I think there's a lot of questions on. But where does it go? And I think there's a lot of questions on. You know, we see companies investing millions, billions of dollars In fact. So I'm kind of involved in some investment stuff and I always joke with some people. I'm connected to that. If you mention AI in your quarterly results, your stock's going to immediately double Not really, but I mean it really has become this new buzzword. Right? When does that buzz start to kind of soften?
Speaker 4:And when does it become okay? We've really got to lay some foundations for how does it get used ethically and how do we ensure that it is truly open and not getting controlled by the source that's using it.
Speaker 3:And this reminds me, austin, of the launch of the Internet. We had the same conversations around the Internet how is it controlled? And now we're stepping into something that we don't really understand how it works. But we teach it, and that's what I think. That's the biggest concern. And for the consumer, I think you pointed out that we need to be educated on how can we, as the consumer, put our boundaries around. What data can be scraped? Yes, our information. Like number one, I would never save my credit card information for another purchase. If I buy something off of a website, I never choose to save that, you know. So it makes shopping easier. The next time I don't have to put in my number. I'm like, no, I can do that every time. But I think that's how do we do that? And then I hate to even say this, but it's really going to take legislation.
Speaker 4:Yes.
Speaker 3:And we know what that's going to be.
Speaker 4:Yes.
Speaker 3:I remember watching C-SPAN last year when they were talking about TikTok.
Speaker 4:Yes.
Speaker 3:And then they had conversations about AI. Yes, you know about safeguards and stuff. So it's really up in the air. I don't think we have.
Speaker 4:Well, I think in government you know, you ultimately never have true subject matters in the room. Oh, that's so true.
Speaker 1:Making the decisions.
Speaker 4:Right, you have people that have been in there for way past their time.
Speaker 3:Oh God, we need term limits, Do we not?
Speaker 4:Yes, 100%.
Speaker 3:And so they're in here making these decisions and they have no clue what they're even talking about and they're being fed information from somebody else, and we know that half of them, like they're voting on these bills, they haven't even read the information have you seen some of the Senate briefing packets.
Speaker 4:We're talking about five, six hundred thousand plus pages. Who has time to go through that? No one.
Speaker 3:So they divvy it out.
Speaker 4:Just say here's your packet. They do a quick brief on the front and they come in and truly, I think that's the scariest part about what big government's created. Is the people in control, which should be the people.
Speaker 3:Right.
Speaker 4:It's unfortunately turned away and it's not in the people's hands now it seems like.
Speaker 4:The people that are in control at government levels. They don't know, they're not reading anything of what they're doing. It's just a matter of just you know, check, check, check. It's just a checkbox. How many pieces of legislation can we pass? What type of media exposure can I make? What type of headline can I make? And so you know. I think that's where, again, I go back to that whole comment of we, as the consumers, we do drive the market. I mean we control what we buy, market. I mean we control what we buy, what services we use, where we go. I mean we control that. And so I think it's really we're at a point where we have to be in the driving seat of keeping these companies accountable for what they're doing with our data. And you know, ultimately it's a challenge on both levels because, yes, I think legislation could come into effect to control that.
Speaker 4:But then you have to ask the question well, who's enforcing that?
Speaker 3:Who's enforcing it. And it would be like you said it would be much better to have grassroots consumers come together to start demanding these boundaries, because I, just when you were talking about check the box, I thought, oh my gosh, it's going to be the same thing with artificial intelligence. We're just checking the box, we're feeding it this information. Okay, check, we've done that, but how good is the information that you've given it?
Speaker 4:Yes.
Speaker 3:And are we going to be 20 years down the road and history is going to be rewritten and nobody's going to remember, no one's going to know.
Speaker 4:And that brings a whole other concept to AI is the concept of if I generate an AI-generated response, how do you verify now the authenticity? I mean, we've not even got into artificial produced images. These are what they call deep fake videos, where you can take someone.
Speaker 4:I mean artificial intelligence that is actually taking a sample of somebody's voice and using that voice on their behalf. Right, how you know, and I really don't think maybe there's someone I highly would doubt someone has even thought about now, or I should say thought about, but figured out. How do you verify the authenticity of that? I?
Speaker 4:mean it kind of goes back to sort of this whole. I'm fairly passionate about the crypto environment, blockchain, that's all about verifying authenticity, right? You know exactly. You know, in this ledger-based system, that's almost where we're going to have to head to understand is this photo real? I mean, think about it, I mean we're not even. I mean I've seen you can go into ChatGPT and generate a photo and it's right now it's, and right now it's hit or miss.
Speaker 1:Sometimes it does a good job.
Speaker 4:Sometimes it does a bad job. Right. But we're just getting into the hyper growth of where. Think about what makes AI better. It's more data, more people, more involvement, and so, now that we're at this point to where it's getting fed so much more data, it's only going to get better and better in terms of generating these types of things that I think the human's going to be hard to distinguish between.
Speaker 3:And that's scary, I have to admit, and I know that there's been actors and actresses with lawsuits because it's AIs use their voice. There's been actors and actresses with lawsuits because it's AIs use their voice, even their face. Yeah, and you know, and I'm, you know, I would be, you know, upset over that too, I mean, because that's how I make my living, is who I am and my voice, and so let's kind of I think we've kind of talked a lot.
Speaker 1:It's overwhelming, it is a lot. It's overwhelming, it is a lot, it is overwhelming.
Speaker 3:So let's focus on the positive of AI, austin. Let's think about the good things that we can do from it. I think those of you listening please educate yourself as a consumer. Remember we drive the market. Put those boundaries around your phone and other pieces of equipment you own. And so let's talk about some of the positives. Austin.
Speaker 4:Yeah, well, I think I mean one example that actually that was. Actually a lot of people were asking questions. But look at the new album or new song that Randy Travis released Using AI for His Voice. I mean a great, great song using AI for someone that couldn't have produced that on his own today.
Speaker 4:I think that's really cool to bring that back to that perspective. So there is good examples of it and that is a great example of how someone Randy Travis, his team worked with the record label to create these boundaries, to create an agreement that this is what they wanted right and it was successful. And a lot of people started to ask you know, is this, is this?
Speaker 4:yes, it was, I mean, and they released a whole statement and that was a really cool moment to see AI shine, I think, also in people's daily lives. You know, like I said, I mean I have ChatGPT on my phone and you know it's a great tool to if you're trying to generate a quick email or a quick message or you're trying to contemplate on how to respond to something needing some quick information. What an incredible tool that you can actually communicate with like a person, right and kind of get that feedback. And I think, just down to how you know, companies are starting to use AI to be more intelligent, to help curate. You know. Going back to the example of understanding us, you know it helps us to eliminate some of the decision-making process. So, instead of having to hunt through 50 different things, it can narrow that down to five. I know Microsoft is coming out with their new Copilot, which is going to be rolling out with Windows 11.
Speaker 4:A lot of enterprise organizations are starting to question right now on you know how do we bring co-pilot or this idea of AI in a mainstream effect, but I think it's making things more accessible and taking away some of that. Like you know, if you've been working on your computer all day, give me a recap of what I've done today, or I'm looking for this file. I saw it yesterday. Help me find it. And being able to use AI to do those things. It takes away some of that clutter.
Speaker 3:Right Some of that burden.
Speaker 4:Some of that burden, work burden.
Speaker 4:And I think that's and there's also some things behind the scenes that we don't see as an average consumer, where AI is playing a role in helping impact our lives and, to many degrees, improve. I mean, there is, you know, I think we started off with a very you know, there was a negative connotation to it, and I still think there's concerns, there's questions. I think, as you said, the consumer needs to be aware and do their education and learn, and do their education and learn, but also, I think, being something that's been out there a lot longer than just as it's gotten, so recently known.
Speaker 4:There is a lot of benefits to our daily lives that we don't see.
Speaker 3:So what would be a good resource, Austin, for somebody listening today to educate themselves? What would they go to to learn, and do you have any recommendations for that? You know I don't have a direct recommendation.
Speaker 4:You know, I think really it comes down to looking well. One, I would say do a internal audit of all the services that you interact with right Mainly your social media platforms and verify how your information is being utilized right, that's a big piece. Two, I think it's doing some self-education online. I mean, I think, going back to the start of the internet, it's grown to the point where you can literally scroll forever with tons of different resources and you have to gauge those based off of what you feel like is. I mean, different resources have different connotations and different pulls right, depending on who's bringing it out. But just do some internal online searching If you want to start with. What is AI? How is?
Speaker 4:AI used some of these search terms just to kind of start that. But then think of it like you're putting together a research paper right you're trying to get 20 different sources right.
Speaker 3:Right, that's kind of what I did today, a little bit, you know, yeah. Um well, austin, thank you so much this has been great, it's been great truly I. You know, I could just sit and talk with you forever.
Speaker 4:Likewise, Likewise, and you're just. Well, it's a large topic too. Well it is.
Speaker 3:And I think there's other things that we can talk about, because I really believe that we need, as consumers, we've got to get more information out there, and I think, having you come on this podcast and this was kind of an overview, yeah and then maybe we can kind of do a little bit more. I really think this is needed, because I don't think people are really talking about this at this level, austin, well, and I think you have a whole other conversation about AI in the workforce.
Speaker 4:Yes, you've got people like Elon Musk that thinks in the next 10 to 15 years that AI could I mean. You've got people like Elon Musk that thinks, in the next 10 to 15 years that AI could. I mean think about all the you know, and I think of that and I go hmm, what would be a world where AI has replaced 50% of the jobs? What would that look like? Right.
Speaker 4:I mean, and things that you wouldn't think of, where AI is starting. I mean, there's AI involved in construction today, right, I mean, and in 10 years, you know, you've got robots building large-scale buildings. That's coming, so we have to embrace that and we have to be ready for this. That's a whole other conversation, but it's here.
Speaker 3:It's growing whole, nother conversation, but it's here. It's growing, I think, the more we can educate ourselves and be ready and prepared so that we're not caught off guard, no matter what we're facing as individuals, as a community, as a country. I think those are always the kind of the ground rules of getting in front of something.
Speaker 4:One of my favorite quotes is knowledge is power.
Speaker 3:Knowledge is power and God says my people perish for lack of knowledge.
Speaker 4:Yes, yeah, austin, thank you Thanks for having me Austin from Point.
Speaker 3:Tech, an amazing entrepreneur, it, so I highly recommend if you need any help with your systems, your company, whatever that has to do related to computers, you need to contact Austin Ramsey.
Speaker 4:Thank you. If you've got any boxes to crush, we can crush them.
Speaker 3:And you're going to crush them. I know it because you do Thank you, austin, thank you.
Speaker 1:This has been Benchmark Happenings, brought to you by Jonathan Tipton and Steve Reed from Benchmark Home Loans. Jonathan and Steve are residential mortgage lenders. They do home loans in Northeast Tennessee and they're not only licensed in Tennessee but Florida, georgia, south Carolina and Virginia. We hope you've enjoyed the show. If you did make sure to like rate and review. Our passion is Northeast Tennessee, so if you have questions about mortgages, call us at 423-491-5405. And the website is wwwJonathanAndStevecom. Thanks for being with us and we'll see you next time on Benchmark Happenings.
