Artificial Intelligence (AI)

In this episode, co-hosts Sam and Tayla dive into the fascinating world of Artificial Intelligence (AI).
The episode includes a brief introduction to AI and its various applications in our daily lives. Sam and Tayla discuss the potential benefits and drawbacks of AI, including its impact on the job market and the ethical concerns surrounding its development. They also explore the history of AI, from its early beginnings to the current state of the technology.
Throughout the episode, they share their personal experiences with AI and how it has affected their lives. They also discuss the future of AI and what we can expect to see in the coming years. 

Transcript

Tayla (00:11):

Welcome to the babe. What do you know about podcast?

Sam (00:14):

Where your hosts husband and duo, Sam

Tayla (00:16):

And Tayla

Sam (00:17):

Air their grievances publicly for your entertainment.

(00:23):

 Did they touch it?

Tayla (00:27):

They are honest little gremlins and they did

Sam (00:30):

Touch So

Tayla (00:30):

Gross. I so had heard them. They were out on the deck. I was finishing breastfeeding Max, and I heard them talking about birds, and I was like, oh, the birds are back. The spring is coming. The birds are in the trees. No. And then I came out and they're like, the bird is sleeping. And I was like, what are they talking about? And I see tiny little dead bird. So sad. That is so sad. And they're like, yeah, it's sleeping. And I was like, that bird is dead. The bird is dead. And they're like, yeah, it's dead. And I was like, no, no, no. Dead is sad. The thing is the first dead thing Ella's ever seen, I was like, dead is dead is sad. Also disgusting. So I took them into the bathroom and just made them scrub. They thought it was hilarious. Fortunately, I'm like, I don't know if they touched their fate.

Sam (01:19):

Ugh.

Tayla (01:21):

So needless to say, we came in inside immediately.

Sam (01:26):

Yeah. Poor thing. I am excited for the birds though. We get so many birds out. We

Tayla (01:30):

Do. We do. Speaking of which though, can you please get rid of that dead bird at some point?

Sam (01:37):

Wait, it's still out there. No,

Tayla (01:39):

I'm not taking care of the dead bird. No way.

Sam (01:42):

Feminism.

Tayla (01:43):

No, come on. No, it's not feminism. I'm afraid of dead things. I would much rather deal within a live thing. I remember dissecting things in high school and stuff, and I was like, I would prefer if this was a live animal that we were doing surgery on.

Sam (01:59):

Sure. I mean,

Tayla (02:00):

I'm afraid of dead things. Like I have a fear of dead things.

Sam (02:07):

I think they're disgusting and I don't want to touch it either, so

Tayla (02:10):

Well, please can you take care of it?

Sam (02:16):

I'll think about it.

Tayla (02:17):

Please.

Sam (02:19):

I'll think about it.

Tayla (02:20):

Please. I don't want to let it go until you say yes. Oh my

Sam (02:25):

Gosh. Gonna be a long podcast.

Tayla (02:26):

It's going to be a long podcast. Dammit. All right. Well this has nothing to do with anything, but

Sam (02:32):

Okay, please.

Tayla (02:33):

Just kidding. All right, so our episode today is on artificial intelligence. Well, sorry, that was quite the lip smack that I did in there. I know. So our episode today is on artificial intelligence. And in a move that I found very ironic and funny, I asked AI to write my introduction, including statistics. I was very specific on what I wanted. And so I'm going to read my introduction exactly as Chat g p t wrote it

Sam (03:06):

For me. I'm excited to hear it.

Tayla (03:07):

Okay. So artificial intelligence or AI is the rapidly growing field that has the potential to revolutionize the way we live, work, and interact with a world around us.

Sam (03:18):

It would say that

Tayla (03:18):

It would say that, huh?

Sam (03:19):

Sorry, I wouldn't interrupt. No,

Tayla (03:21):

I know. It's, it's talking about itself. Ai at its core, AI is the development of computer systems that can perform tasks that would normally require human intelligence, such as learning, problem solving, and decision making. One of the most exciting things about AI is it's its potential to transform industries across the board. For example, in healthcare, AI is being used to develop new treatments and improve patient outcomes. In finance, AI is being used to detect fraud and make more accurate predictions about market trends. And in transportation, AI is being used to develop self-driving cars that could one day make our roads safer and more efficient. But AI isn't just a buzzword, it's already having significant impact on our daily lives. 77% of devices we use today, including smartphones and cars, already used some form of ai. AI is expected to contribute up to 15.7 trillion to the global economy.

(04:20):

By 2030. The global AI market is expected to reach 267 billion by 2027. And AI powered chatbots are expected to save businesses more than 8 billion per year this year. So by 2025, the AI healthcare market is expected to reach 6.6 billion. Of course, with any technology comes, concerns about its impact on society, some worry that AI could lead to job loss or even pose a threat to humanity if it becomes too advanced. These are important issues that will explore in this episode along with the history of ai, the current state of the field, and what the future might hold. So join us as we dive into the fascinating world of artificial intelligence and explore it's change how it's changing the world around us.

Sam (05:09):

Well, good job.

Tayla (05:10):

Close. Yeah. Good job. Good job ChatGPT. Doing my job for

Sam (05:14):

Me. Did it. Didn't do the phrase though.

Tayla (05:17):

So babe, what do you know about AI?

Sam (05:21):

A little bit? A little bit

Tayla (05:23):

More recently, right?

Sam (05:25):

Well, okay, so ai, let's go down a walk down memory lane.

Tayla (05:32):

Memory lane,

Sam (05:33):

Okay. Memory lane. So when I was like 10, I remember having our principal, so the acting principal at my primary school, which is an elementary school in the United States and computers were all the new age. Then this

Tayla (05:50):

Is back in the day 19 when you

Sam (05:52):

Were a child. So this is probably like 1994 ish,

Tayla (05:55):

The year I was born. The year

Sam (05:57):

You were born. So I just remember him talking about, because there was a controversy about how computers are just going to do everything for everyone back at this point, or they're going to be so much smarter than people. And his comment basically was, A computer will never be smarter than the people that made it because, or that input the information because

Tayla (06:18):

Of those reasons. Decision making, problem solving,

Sam (06:21):

Learning. Exactly. They're made by a person first. Now, that was 20 years ago,

Tayla (06:26):

Almost 30 years ago.

Sam (06:29):

Those, that was almost 30 years ago. I lost a decade there folks. So that's almost 30 years ago. And I mean, a lot has changed in terms of technology. I mean, absolutely incredible advancement in technology and absolutely computers are smarter than people. And here's an example. Okay, just a small example with chess. So with chess, basically the smartest chess players could still beat the smartest computers up until literally 15 years ago. Yeah. And then it was on par for about five to 10 years. And then after that, so for the last

Tayla (07:11):

Competitive

Sam (07:12):

Between now for the last 10 years, the AI or the computer has gotten so much more advanced than humans that it's almost astronomically better than the best chess player that's ever lived.

Tayla (07:24):

And that's because of experience and learning, playing chess players

Sam (07:30):

And also just the development of technology. It's

Tayla (07:33):

The capacity to process

Sam (07:34):

All process more moves, more variations, because there's just so many variations that produce so many different varying results.

Tayla (07:41):

You can literally weigh risks. Yeah,

Sam (07:43):

Exactly. So now let's extrapolate that now today and everything else. I believe that's kind of the same, that our collective knowledge and intelligence is what AI is or could be in, can become definitely is going to be smarter than any individual person, for sure.

Tayla (08:01):

Right?

Sam (08:02):

For sure.

Tayla (08:05):

So back down my memory lane, when I was a child, you were probably an adult at this point, but I Robot the movie

Sam (08:15):

Oh yeah. With Will Smith. Yes.

Tayla (08:17):

I don't know when that came out, but I was a child. I was very young, but that was, maybe I'm really young, but wasn't that one of the first movies to really explore that idea that if AI or technology became so smart that there's not that much to distinguish from humans because they can learn also emotions, they can learn all these things. It poses a really compelling question.

Sam (08:49):

Yeah. There's actually a bunch of these movies. So

Tayla (08:51):

Now there are, right? Was that one

Sam (08:52):

Of No. So beforehand, well, some varying narratives around it itself, right.

Tayla (08:57):

Terminator,

Sam (08:58):

Terminator with Skynet. And then obviously the Matrix actually is true about the robots and their intelligence. And basically, and this is maybe where I think we're going, is the computers, the AI eventually sees us as fuel to keep us around to be able to service its needs. So it basically plugs into your brain and creates a world for you that you're living this unreal life. But it's all virtually the simulation. Yeah, simulation. Oh,

Tayla (09:28):

So we're getting into simulation stuff. Yeah.

Sam (09:31):

Anyways, we can backtrack this back to, no, I love actually using it today, but that's a lot of that sort of potential reality is what a lot of people are afraid of, which I don't know if we should or shouldn't be afraid of because I know

Tayla (09:45):

It's valid.

Sam (09:45):

I have no clue where this goes.

Tayla (09:49):

Maybe the, because we know so much now almost, I feel like we forget what it feels like to not know, be able to predict something. Yeah. So yeah, it'll be so interesting. So a couple of things I wanted to go through is, so, and I bet you do because you're in the know on this stuff. What are some of the breakthroughs of AI through the years? What were some big developments in ai?

Sam (10:17):

Man, I wish I had come prepared. Oh, no

Tayla (10:19):

Things.

Sam (10:20):

So obviously one of the big things was I think it was deep blue with the IT being able to beat the Grand Masters in cheers. Right?

Tayla (10:31):

I do remember that being Okay, a thing. I remember that in the

Sam (10:34):

News. Yeah. Honestly, the biggest thing that we actually have in ai, so essentially AI is a really good reference referencing algorithm as well as a lot of really smart, I'm trying to oversimplify this and deep if then statements to break that down. Basically if you guys have any familiar with Google sheets or something, you can just write an IF formula, then this thing. So you're going down exceptionally complex decision trees and then it referencing information that's out there as a quote, source of truth, the problem and chat. G P T acknowledges this. There actually isn't a source of truth. So when you're dealing with data in Google sheets or whatever, you can reference a source of truth. These are in column A is all the fruits that exist, and column B is all the diseases that affect fruits. And column C is when they get ripe. I'm just giving you weird examples,

Tayla (11:40):

But you

Sam (11:40):

Can write a formula that says, Hey, I want to figure out when is the best time to pick oranges because of certain diseases. And you can just write a bunch of if then statements true to get there. And that's what artificial intelligence is doing right now, but it doesn't have what it calls a source of truth. So a lot of it is just still subjective information.

Tayla (12:03):

And we'll get into this. I'm going to ask you to explain, because you've been for work kind of dabbling, and I have actually too dabbling in using AI as a tool and it's quite a skill to learn how to communicate with it. So we'll get into that in a moment. But the other development that I remember that my mind is just blown by is self-driving cars. Oh yeah, yeah. It's just wild. But also it makes a lot of sense. But one thing that I distinctly remember is when I was interning at a nonprofit organization in Brussels that consulted with the European Parliament, the EU over there, I attended, it wasn't a hearing, it was a presentation essentially for lawmakers on the ramifications of AI on legality. And so the example that was brought up pretty often was, who ends up being responsible when things go wrong with ai?

(13:07):

So for example, in a self-driving car, if something happens and it gets into an accident, is it the owner of the car? Is it the manufacturer of the car? Is it the specific parts designer? Is it the AI itself? Who's responsible or who pretty much has to pick up the consequences of mistakes or issues? And so it's, it is a really interesting question to me. And I remember just being like, oh geez. Because driving cars is one thing that's even more simple. But if you start using AI for a lot of other things, then the moral question on who's responsible just becomes more and more and more nuanced.

Sam (13:51):

Yeah, exactly. So there's a lot of AI that goes in into basically a lot of our advertising. So think about social media and how we use it. There's a lot of AI involved in that where it's taking all the different behaviors and data points in how we behave on social media and then trying to feed us things that it thinks that we're going to either keep doing to watch it or things that we would do to click onto maybe purchase something else. So that's another big one. That's

Tayla (14:19):

A big one. And for sure we've talked about that a little. So are you saying, and I think I understand this, but just to clarify, the algorithm that we speak about a lot with when it comes to social media, that is ai Yeah, generated?

Sam (14:36):

Well, no, the algorithm's not a AI generated. The results would be considered. So the algorithm is the ai. Okay. So that's, I was saying an AI is a lot of just really deep if then statements. That's what algorithms of doing. It's really watching your behavior. And then the result is basically a AI driven result, but someone still had to and design

Tayla (15:01):

It or tell it what to

Sam (15:02):

Do. Exactly. And then also updates it, which is still what happens with the current, even the latest mid journey, which is the art stuff or yeah, chatGPT, which is doing, or Google's bard, whatever, is doing the writing stuff. It's still so much human interaction with it to watch its behavior and then adjust it.

Tayla (15:26):

Yeah. So interesting. Okay. So next thing I want to talk about is, and this is something my boss has been talking to me a lot about this week, is how will AI affect the job market? So that's, it's a thing that the ai, the chatGPT itself brought up in the introduction is this concern of, oh, well, if you can, and especially with Microsoft coming out with the integrations into Excel and teams and everything, personal assistant jobs or executive secretary jobs, they might be obsolete because you can literally just ask, Hey, what am I doing next week at this time? Or what meetings are involving this? You can literally ask it so much. And that writing or even creative jobs, those are the things that we felt were very protected from technology that, okay, maybe the task jobs will be safe or not safe, but then at least the creators and the authors and stuff, those jobs will be safe. But that's not the case. It's

Sam (16:38):

Like the opposite. So literally we got two things happening at the same time. We have AI and then we also have automation, which is kind of like ai, but

Tayla (16:47):

Really, but

Sam (16:48):

You really focused AI and also very simplistic, but because of how everything can integrate with each other now with open API connections. And that's what we do for part of my job is that we do a lot of integrations with a lot of different software platforms. So you

Tayla (17:07):

Said open a API integration for the layman, can you explain

Sam (17:11):

That? So basically if you have a technology that lives on the cloud, let's say Google Sheets, and then you've got another technology on the cloud, let's just say QuickBooks online, which is an accounting platform, you can make the two of them talk. If you have either have an integration, which means the actual software companies themselves built, designed a connection, or there are tools make which you can basically program your own connections between the two softwares, but only if both softwares have an open api, they have an open connection. Cool. So then you can basically tell it to do very complex things with those connections within each other and then automates. So if one thing happens here, does a bunch of stuff, it shows up on the other side with what you told it to do.

Tayla (18:00):

So it's pretty much a bunch of formulas as well, but that you build into the two.

Sam (18:04):

Okay. Yeah. So basically why I brought up the automation side of it too is that how it affects the job marketers is so much of a lot of the, I'd say the repeating manual tasks

Tayla (18:21):

Like mindless work.

Sam (18:22):

Yeah. You can just have basically your bots do it and then it gets automated. And because of ai, you start connecting your really clever AI to these automations and then you can do really, really complex things automatically. How does that affect us today? Like you said, man, the surprise with the invention of AI being able to just basically throw together some crazy images. There's so much of these independent artist creators that are already out of work because people can just go on and be like, Hey, I want a logo that has this, this, and this, and they get an original piece of artwork that they can then use for their creation. I do think the same thing's going to happen to people that write copy.

Tayla (19:11):

Totally.

Sam (19:15):

I mean, that's actually what I'm currently using it for. I'm just running a ton of copy either for our website, for marketing, for seo, seo, for training, any of our internal training too. It it's just getting me content so quick. I've made leaps and bounds in projects that I haven't been able to get to just because I'm like, okay, chatGPT could probably do this. Let me give it some parameters. Then we give it a voice and then we give it the formatting and stuff and then it just goes. And then when it spits out something to, and you regenerate it and you don't like it, you can then adjust it from there until it really fits what you're looking for. At the end of the day, though, I'm the source of truth for that stuff, so I know it's right and I know it's real. But if you don't, and this is where I'm getting to the whole point of the job thing, you still need people that actually can verify that that information is correct. You could just be putting together a whole bunch of garbage and that's not going to help your business at all.

Tayla (20:11):

And the problem is people, I think too often in general with ai, with media, with social media, those sorts of things, people just trust. Yeah. They're like, this resonates sounds right, especially if you can pretty up the language it's right, instead of trust and verify, they're not verifying if the information is correct. So when I had chat G P T write that, some of the statistics are a little bit out of date because I was not using chatGPT four.

Sam (20:51):

Oh, that's

Tayla (20:51):

Because it's not connected to, so I did go in and adjust some of them, but I didn't want to mess with it too much because I wanted to just read exactly what I had created. But that's something that who would've known if I didn't go and check, then I would've just been like, oh yeah, this is exactly, I told it to give me statistics and I did, who knows? And I think it just a failing, and I don't think that will, unfortunately, my pessimistic view of society is I don't think that's going to improve. I, I think people are just going to have it do it and then just be like, this is it.

Sam (21:23):

Yeah. ChatGPT told me. And so yeah, that's the answer. Even today I did the exact same thing. I put together an email copy and I asked it for some statistics, certain ST statistics, and it's bad amount in the email copy. And then I was like, Hey, can you give me the reference for those? And then it gave me a link to this with the article that I got it from. And then when I clicked on the link for the article, dead Dead web webpage. So I was like, Hmm, that's curious. So then I'd, then I went to Google, which is the old ai, and I had to try verify this, the actual factual information that's given me, not opinions, not

Tayla (22:01):

Yeah, facts. Yeah. And was it correct out of curiosity?

Sam (22:04):

Well, no, because I mean yes and no. So yes, an article did say that, but is that a current statistic and is it accurate? And I went into that article, could be mislead, tried to find the references in an article that spoke about a similar statistic, and then it takes you down. And again, that's actually why I like Google because you go down the rabbit hole of, Hey, let me actually try sources information. And then you

Tayla (22:28):

Are teaching yourself by

Sam (22:29):

Exactly. And then you try to find enough verifying things. And I guess that's kind of the world we live in, which is feels like the world of post-truth people just so annoying, say whatever. So doing as much as I can to try very fast statistics on reliable sources. And that's a hard part is how do you find reliable sources?

Tayla (22:50):

So these are all skills that I think human beings very much need to have. And that has always been the case. I feel like people have always needed to learn how to do research, essentially. But I think that especially in a world where instead of generating content, you'll be having it generated and then vetting it or verifying it or curating it better. We need to know how the research is done. It's just almost, I feel like it can just very quickly get away from you. If you don't understand what's going on behind what you're doing, you can lose. It's like it's having a CEO that doesn't understand at all what the boots on the ground feels like in their company. It can just be like you're making decisions that affect a lot of things you're not thinking about.

Sam (23:40):

So I think maybe that's why a lot of the creative things are going away. First that people are doing it. And what AI can do is because it's not factual. This artwork is just literally a new creation. It's just, have you heard of the theory that everything is a remix? It's kind of totally,

Tayla (23:57):

For sure.

Sam (23:59):

So it's kind of the same way a story or a video or a piece of artwork. It's all kind of a remix of something else that people are inspired by or have imagery in their head. It's all comes from something else. Artificial intelligence, intelligence is doing it so good and so quick, especially if you know how to mold it into what you want. But that factual things is, unless again, the way I'm using it is that we know the facts about it. So I can behave as a source of truth. And we're kind of doing that with how we're integrating it with our own accounting platform is we're able to basically teach it some interesting things because of how it can integrate with our own software. We can then start to get even quicker and have more automations around what's sort of transactions and what sort of information means what, because we already know what that information would be if we got that information. But now we're teaching the AI that we are creating the parameters for it.

Tayla (24:59):

So if I'm hearing you, the job market for sure will address and change. It's going to look super different, super different. Some things will be valued a lot less than they are, but not all. I think that really does depend on why you do what you do. So again, job market, that's going to be wow, a little bit messy and a little bit hard. But I do hope that people don't stop creating just, you know what I mean? Just actually drawing or actually writing, writing. But I know it's going to be interesting, but you're saying the jobs that will be protected are going to be those higher level knowledge-based things?

Sam (25:44):

Yeah. And also how good are you at interacting

Tayla (25:46):

With ai? With ai, it's learning a computer language essentially to learn how to use it effectively

Sam (25:52):

And all the peripherals from ai. So it is one thing, but there are so many things that what makes chatGPT exciting is that it connects and has these integrations into tools you already use. That's how Microsoft made that big investment because they're having it literally communicate with their entire suite, which makes every business all of a sudden super.

Tayla (26:13):

Yeah, totally

Sam (26:14):

Efficient in how they're getting information. It's not everywhere. It's literally localized in one spot.

Tayla (26:21):

Yeah. Well, we'll come back to this, but it's going to be very interesting to see how the job market adjusts. But I will say that for sure, I mean this has been the case for a while, but if you're studying technology, if you're studying these things, you're in a good place because just learning how to interact with technology efficiently and ethically, I mean it is, it's just going to be very needed. Yeah. So let me see, where do I want to go next? So that kind of begs the question, that ethical question. So how can we make sure that AI is being what used or developed in a way that benefits society as a whole instead of

Sam (27:18):

Tayla's laughing? I'm just shaking my head. Okay. That's a great question. And stop me if I'm talking too much, but

Tayla (27:24):

All right. I'm going to move myself away from the mic so you can

Sam (27:27):

No, okay. So my thoughts on this are is that the cats out of the bag at this point because the technology behind AI is not just under one roof. It's with multiple organizations and it's only going to get more intelligent and it's only going to get more interconnected. So whatever rules one has isn't necessarily going to mean that everyone's going to follow the same set of rules. And the thing that's going to dictate this all is going to be money, the age old thing that we always know it's going to happen. So that means that, sure, for example, I asked chatGPT to please tell me who are the best X, Y, and Z to see if it's behaving like Google ads yet. And oh yeah, it isn't because it says, Hey, I'm not supposed to be doing that, but it's going to at some point. And so then you start wondering,

Tayla (28:23):

Someone's going to let their AI do

Sam (28:24):

It, someone's going to let their AI do it, and someone's going to take money to make sure that they can choose who's at the top of the ai. I'm using air quotes right now. I don't know where or how this ends up. All I know is that it's going to be completely out of our control and it's going to be dictated by money.

Tayla (28:44):

So this is something that I was speaking with my boss about because he's literally going crazy for AI in a good way. Meaning really his brain is just going crazy for, he's an innovator and a creator. So he's just like, oh my gosh, it's this amazing tool. But he was bringing up this idea that future ai, AI that's being worked on is going to be able to not just create images, but to create movies, videos that's going to for sure disrupt Hollywood. It's going to disrupt that whole industry. But my concern then gets into people are just so people I think as a whole are great moral awesome people, but society has a really high proportion of really disgusting people. And the concern with being able to curate visually whatever you want is so concerning. And I feel like for sure the lawmakers, which unfortunately there are people who dunno what the hell they're talking about when it comes to technology, that's a huge

Sam (29:51):

Problem. Dinosaurs

Tayla (29:52):

From just this week,

Sam (29:53):

Dinosaurs,

Tayla (29:55):

They are the ones that are going to need to, I think they need to get way ahead of the laws around what is ethical and legal for you to create using ai. Because you can get into some, I mean obviously I'm very into protecting children and child pornography things and pedophilia and I feel like, I don't even want to say kinks, but their are like sexual deviancy can be catered to and that it does kind of push the deviancy further and further. I think it can be toxic for a society to just be able to, whatever I want to see, however I want to see it, I can just make it right now. No big

Sam (30:36):

Deal. I honestly never even thought of that, but that's definitely one that's definitely going to happen. But what I think is even worse than that, just to top, I'm going to try to top you off

Tayla (30:46):

Worse than child porn.

Sam (30:47):

Yes. Worse than child porn. Oh my gosh. Is it goes along with that narrative of we're in a post-truth world. That means, yeah, no one's going to have any idea

Tayla (30:58):

How to verify what's what actually happened and what's going to

Sam (31:00):

Happen. Yeah. So you can fake wars, you can fake being attacked. The nations be attacked. You can fake who the real present is. You can fake whatever you want.

Tayla (31:10):

Did you see the pictures of someone created pictures of Trump being arrested? Yep. It didn't actually happen. Nope. But a lot of people thought it happened

Sam (31:18):

And that was just some that was

Tayla (31:20):

Even good

Sam (31:21):

Stuff. So no, that's where the world's going to, and it's going to get more and more difficult to discern what is real. And to me, that's why I literally have no clue where this goes. Oh my gosh. Because what happens to a society that literally doesn't know, not just like, oh, the idiots, they believe whatever, but actually diluted. Yeah. But the general population not being able to really tell what is real footage or a real event or what is real at all. That's why I think we're going to end up in the matrix.

Tayla (31:53):

I mean, it sounds more and more possible the more we talk about it, because I think you're right. Psychologically what that does to a society is potentially very damaging. And that's why I'm like, there has to be some parameters. There has to be some control boundaries. And unfortunately the people tasked with setting those boundaries are completely incompetent, ridiculous C like foreign language levels with technology and understanding it. I mean, just the interview with the TikTok CEO just this week or last week proved that where I was like, why are you to wifi? What is that going to do with anything? Right? So it's so concerning to you. I'm like, can we not as a society just be like, no, we are going to assign these people to this committee and just like you, but I wish we could. I mean, I'm talking about

Sam (32:52):

We are going to have so many curve balls thrown at us on a world stage. In the next 10 years, things that we can't even think about going wrong are going to go wrong. And as a society, we're going to try figure it out. But we're getting a whole lot of new set of problems coming.

Tayla (33:10):

Something that brings comfort is that all technological advances have brought, I think similar feelings and similar concerns on, we don't understand the ramifications on this. And for the most part, as a human race, we're a resilient, but that doesn't mean that Oh yeah. Through all the technology and all the fears, we've ended up just fine. That's not really the case in a lot of ways. I don't want to have children in this world.

Sam (33:39):

Wow, ALS. We're a bit

Tayla (33:41):

Late. It's scary. I know mean the thing is this is what our kids will grow up in, how they're going to be going to school, how they're going to be. That's a little bit scary. It's a little bit scary. I mean, obviously we're going to do an amazing job teaching them about research and morals and reality and facts.

Sam (33:59):

Absolutely not. So the plan is we're going to move to some deserted plates in the middle of nowhere and we're going to farm and stay off any technology and make sure that the AI enforcer robots cannot find us. That's the plan. All

Tayla (34:15):

Right, let's start looking forward. One of those islands right now, we're going to go into the middle of the Kalahari Desert with the Bushman and that we're going to live our lives happy and alone. But it is a bit scary to think about raising kids in a post truth world. I mean, that's already kind of the case, but with this introduction, it's very intimidating. And I do know there are some things that have already been thought of college students just not ever writing their own papers or understanding their own content or whatever. They have tools around checking that sort of thing, which I think is awesome because there would be nothing scarier than people graduating with a degree that they don't know what they're really talking about. But at the same time, it is a cool tool you could use in college to be like, I really don't understand this concept. Here is the textbook explanation. My professor had. Explain it like this. And you can actually use it as a very cool tool to actually learn the things you're doing. Or you could use it as a lazy tool to cheat. And that's the hard thing is we don't have a set of parameters that as a society, we've agreed to interact with AI in this way.

Sam (35:29):

Yeah. Look, I've seen a lot of alarmist things, but on the flip side, a lot of AI is kind of like a politic, and it seems to be doing a lot more things than it really is doing true. But everything I'm saying is about what it can do, what it will be able to do. But right now it doesn't do any of that. And today we don't have to worry in terms of a post-truth world in terms of a whole visual experience.

Tayla (35:57):

Right.

Sam (35:59):

Actually, I mean for those that are savvy enough, it's fairly easy to spot fake imagery. And that's just with your eye. But there's literally, like you said, there's programs verifi. Yeah. That can literally tell if something is being

Tayla (36:13):

Changed. AI generated. Yeah,

Sam (36:15):

AI generated or even manipulated.

Tayla (36:18):

And I think that's probably what will happen is that market will be more and more important and we, it'll be more popular. We'll need to rely on those verification programs. But I do want to talk a little bit about what Chat GBT told me and what it's in our introduction is the very cool things that are coming because of this. Because I do think there's a reason that we're still going down this pathway, even though it's so intimidating. And so one of the cool things that I'm very excited about and it mentioned is the healthcare adjustments, being able to in increase patient outcomes and treat more people in a way that is more accessible for healthcare. I think that's so cool. Such a cool direction to take AI is how can we help people be healthy and well?

Sam (37:13):

Yeah. That's is honestly amazing how they're able to study blood samples and all sorts of other things that we can't connect because it would take so long for us to connect it. It's those automations. And then having that intelligence around those automations that can make it discovery so quick.

Tayla (37:33):

And I mean even just research and surgeries and methodologies and preventative and then also mental healthcare as well. The amount of things that, it's just a very cool direction to take it. And I'm hopeful and happy about that.

Sam (37:53):

I even ask it today, I was just messing around with checky. Bt you are a relationship guru, and I just start asking you questions and it's laid out, it's communication and all the general things, but as it gets smarter, it's going to be a lot smarter at knowing your life, your relationship, more specific, things like that.

Tayla (38:16):

And the other thing that it also mentioned that I am also am happy about is self-driving cars. And we always joke about this. We're like, oh yeah, when we teach Ella to drive, just kidding, probably she's not ever going to drive because by the time she's 16, all the cars will be self-driving and it really will just send the car to drop her off or pick her up from wherever. But I do think obviously that is a little scary in the event that things break or whatever, but I think that generally the roads will be safer and more efficient and better for the environment.

Sam (38:50):

Yeah, absolutely.

Tayla (38:51):

So I think that's really good. Then energy as well, energy projection, all that stuff. So very cool things. And then I do think, again, accessibility, being able, if you want to be more thoughtful about something, if I'm writing an email and I'm like, I don't know how to make this more professional or more empathetic, let me just put the email I've already written in. This is how I've used it mostly is, Hey, I'm writing a termination email. That's a hard email to write in the right way with the right balance of professionality, but empathy. And so I would just write, just word vomit the information I need and then say, Hey, can you help me to make this more this and this and this in tone? And then it does, and you're like that, there it is. That's communicating accurately what I was hoping to communicate. And it can make a very cool tool, I think, to improve communication p person to person.

Sam (39:43):

And again, it comes down to the professional behind AI currently where it's, if you can use AI to write a book or a story, AI itself doesn't write a very entertaining story. No,

Tayla (39:55):

It's really bad actually. I tried to get it to write Child Story and it was all over the place,

Sam (40:00):

Or it's just so generic and so a complete blend of everything, but if you know how to use it, it will get you what you're trying to create in a very quick way.

Tayla (40:12):

Yeah. So that's something that I wanted you to speak about because I think you've done a bit more of this, but my boss was explaining how, because he's bought chatGPT four, and so he has different tabs and he, to start out a tab of a personality within chatGPT, and he says, you are this kind of person. So for example, he's like, you're a professional, you're an innovator. You tackle problems in this way, and you communicate in that way and you pretty much tells him exactly the kind of person and wants Chat, ChatGPT to do. And then he uses that bot. Yeah. Or I don't know what to call it, that bot specifically for these kinds of work problems. But then for his communication with investors, it would be like, okay, you're a cutthroat, like blah, blah, blah. And he has a bunch of different personalities all curated by him to have learned a specific tone and style and need that he's filling. And so ai, using AI is a lot more of a, I mean, that's something I didn't even think of until he mentioned, I was like, oh yeah, I guess you should tell it what kind of person it is. Yeah. So tell me a little bit about that. Speak to how you interact with AI in the most effective ways.

Sam (41:27):

Oh, okay. No, you literally nailed how I'm finding the most effective use of it, which is for each, so you can have basically new chats, you know have have this chat, and you can have multiple versions of it. And just like you explained what your boss is doing, I have one for different personalities. I have one for different actions because not all of my actions I have

Tayla (41:48):

Is you. Neither personalities,

Sam (41:49):

Neither personalities. One of those actually just I'm, I want a character counter, which is, I know it sounds like such a waste of having one chat just to count characters, but literally I go in there and I finisher a certain thing cause I want a subject line or I want a email to be a certain length or a word counter. So I'm just throwing in. I don't even ask it to do anything. I just slap. I just copy and paste and it tells me how many characters it is or how many characters and how many words it is it, because it knows that's what I'm asking for every single time. So I don't even ask it. It's just literally a tool that I'm using. It's

Tayla (42:25):

Learned that that's the why you're using it.

Sam (42:27):

Yeah, exactly. And obviously there's better ways to do that, but for right now, in the early days, unfortunately, yeah. Now I've got a whole menu of different things that I'm doing. And for example, there's a fun one, creating a board game. And so one of the things I'm doing is I'm creating events and I'm it in a certain voice, but what's nice is I've already told it that it's this particular comedian and I wanted in three sentences, he's a dungeon master, so he's got, he's in character and I then give it certain prompts. There's an or

Tayla (43:04):

Stuff that you have written. Yeah, yeah.

Sam (43:07):

There's a funny situation about him in a merchant and leave me in suspense. And then it gives me this beautiful funny thing. I read a few of you them and some of them are

Tayla (43:20):

Truly hilarious.

Sam (43:21):

Truly hilarious. So things I've never even thought of before and I was like, how did I come up with it? That's not even a joke or a phrase I even heard before.

Tayla (43:28):

Yeah. It's not just regurgitating a comedians thing. Yeah. But that comes with that. You had to really curate the personality of that bot

Sam (43:39):

To get that. Yeah. And then what's interesting is for the first while of prompts, it's still learning exactly what you want because then I'll tell it funnier, tell me it shorter, tell me in this way or this thing. And so in that single singular chat, getting smart and smarter or more and more particular about how you are happy or not happy about the results. And so by the time you're 40 lines down now, when I pop into it, it's just literally

Tayla (44:06):

It gets what you want.

Sam (44:07):

It's literally telling me exactly how I want it immediately.

Tayla (44:10):

So cool. Okay. So something I would recommend is even if you're not someone in the professional world or just not really into the stuff, I do recommend going to chatgbt.ai just to the free version and just kind of messing around. And the first couple things I actually had to do is I said, Hey, tell me 10 things that I could do with a toddler and a baby, a 10 month old baby at home using things that are in most households. And it gave me this amazing list of 10 things. I was like, oh my gosh, these are lovely ideas and truly helpful. Rather than just Googling it and trying to look for a list that someone actually made. I could be as specific as I wanted. Or another thing that I did is I was like, Hey, curate a cleaning schedule for a family that looks like this, that has this need and has this amount of time every day to do it. And I did. And obviously it's not perfect. You need to still mess with it a bit, but I think I would recommend all of our audience to just go and just play with it on that sort of thing or write a text to someone and then ask it to change the tone to sound like and see what it does.

Sam (45:24):

Honestly, it's behaving currently how I imagined Siri was supposed to behave, where it's just like you literally have this voice that you can just ask it to do something and you can do that. You can give it a voice prompt too and just have a go voice to text and have her do that too. So I didn't know that so well, it's just an additional in the integration that you can put together. So I mean can be what you want it to be. Again, it's not to the level where it's you, it has a source of truth, so you're not going to have that. But, but in terms of creative ideas and Tayla saying activities and functional things like that, it's going to have stuff that you can be like, oh yeah, I like that one and let's do that.

Tayla (46:03):

Yeah. So I recommend it. I just mess with it. See if toss that you would usually Google if it can do it for you and see what it comes up with and learn how to, because I do think it's the language of AI is going to be an important and marketable language to know, not just in the professional sphere, but just to function in society moving forward. And so I think it's a good opportunity now as it's kind of new to just play with it a little and

Sam (46:28):

Have

Tayla (46:28):

Fun with it. To have fun with it while especially while it is still fun,

Sam (46:33):

Before it becomes sentient and before it

Tayla (46:35):

Becomes, before becomes a supreme leader of the world. But yeah, let me see if there's any lost things that I wanted to talk about. No, I think we covered most of the questions that I had. But to finish, I want you to have ChatGPT us something super entertaining. So I'm going to pause this so that you can go and get something for us.

Sam (47:09):

Sure. And let's do it. All

Tayla (47:09):

Right.

Sam (47:12):

And we're back. You pushed record, didn't you? I did. Okay. Well, okay. What was I doing? Sorry.

Tayla (47:23):

So we're, we're going to read what chatGPT made for us.

Sam (47:28):

That was a pause and I think we've probably planned for, at least for my adhd. Right. Okay. So just so you know, I'll tell you one of the parameters that we told ChatGPT to use was to give it to me in the voice of Trevor Noah. And so just imagine Trevor Noah saying this because he uses a lot of words that I typically don't. It's his, yeah. Alright. It goes. Alright folks, that's wrap for today's episode of Babe. What do You know about? We hope you enjoyed listening to us argue about everything from politics too, pop culture. And if you did, don't forget to hit that subscribe button so you never miss an episode of our Witty Banter. And if you didn't like what you heard, well just remember that we are a package deal. So you can't have one of us without the other. But hey, at least we're not as controversial as Pineapple on Pizza am. Right. Thank you for tuning in and we'll catch you on the next episode. Thank you for listening to

Tayla (48:32):

Babe. What do you know about,

Sam (48:35):

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