Riding the Wave of Technology to Elevate Innovation and Individual Distinction

0:00 The topics and opinions expressed in the following show are solely those of the hosts and their guests, and not those of W FORCY Radio, it's employees their affiliates. We make no recommendations or endorsements for radio show, program, services, or products mentioned on air or on our web. No liability, explicit or implied shall be extended to W Forcy Radio or its employees or affiliates. Any questions or comments should be directed to those show hosts. Thank you for choosing W FORCY Radio. What's working on Purpose? Anyway? Each week we ponder the answer to this question. People ache for meaning and purpose at work, to contribute their talents passionately and know their lives really matter. They crave being part of an organization that inspires them and helps them grow into realizing their highest potential. Business can be such a force for good in the world, elevating humanity. In our program, we provide guidance and inspiration to help usher in this world we all want working on Purpose. Now, here's your host, Doctor Release Cortez. Welcome back to the Working Purpose Program. They optunity again this week. Great to have you. I'm your host, Doctorleis Cortez Join you live from Dallas, which is home based for me. If we've not met yet and you don't know me, I'm a management consultant, organizational logo therapist, speaker and authors. My team and I italyst Cortez and Associates help companies to enliven their operations by building inspirational leaders and cultures activated by meeting and purpose to turn those companies from a flatline EKG to a vironrant workplace.

1:29 There people are intrinsically motivated to perform with their best, grow into their highest potential, and are committed to stay and help deliver on the company's mission. You can learn more about on how we can work together at a last Cortez dot com. Now let's getting Today's program with us is the chief technology officer of a cutting edge tech company who is a big believer in the power of language models like chat GPT to revolutionize the way we work and learn. Travis James is a fractional CTO of Tripe Health Solutions based in Texas and Texas Frisco. Specifically, he has more than twenty years experience in software development, machine learning, architecture, natural language processing, and decentralized distributed systems. Today we'll be talking about what he is currently pouring himself into at Tripealth Solutions, and here his perspective on how the AI tool chat GBT can be leveraged to elevator productivity and creativity and distinguish our uniqueness as humans journs today from Frisco, Texas.

2:22 Travis, Welcome to Working on Purpose. Oh, thank you so much for having me absolutely, And you know, this idea came because of a conversation that we had about me sharing something about how what I had read about how universe professors were going to have a hard time actually dealing with this new tool that's come out here and students in deciding who had actually written the paper, And you gave such a great perspective on that, which I want to get into later. That that is what made me say, you got to come on Working Purpose and talk about this and help us understand. But most of us don't get about this new tool, so we'll get there eventually. But first, Travis, I want to start by just talking about your background. Um, it's pretty unique. I think that you started your technology background.

3:04 I think you told me that you started writing code at age seven? Is that right? Age seven? About? Really about age eight? Okay, So well you have to figure out first for why what was it about? What was the impetus? Why did you start coding at such a young age. Well, it's really about, UM wanted to spend time with my father. Actually, my father was a research chemist at the time, and he was getting an eight degree in computer science a message a green computer science m you know, at night on the weekends. And so it was right around at the time that we were living in Virginia at the time. Him he got his degree from VCU in Richmond, Virginia, And if I wanted to spend time with him, I spent time with him doing what he did on the weekends, and so I would learn everything about, uh, you know, the kind of programs. Who was writing. Um I even used a couple and everything to gave up and write my own little programs and things like that. The power of love. That's still beautiful, Travis, I love that. Okay. Well, so then from there you have a mass quite a career. I know, you how to stint at Microsoft and later year we in American Airlines as an enterprise architect. And you have found your way along some pretty interesting entrepreneurial places as well. So can you say a little bit of it, just kind of give us a bit of a tour of your background. Yes, So it was always a dream of mine to work for Microsoft. When I was in my mid twenties, I was doing some work for McAfee, which on the virus scan product and some network solutions

4:38 products there, and it just happened that a former manager of mine there joined Microsoft and then recruited me to go to go with them, and so I took the opportunity and started with Microsoft, and it was one of the best experiences I've had in my life, you know, even to this moment. And why did you leave? Well, ironically, I left because I kind of rose to a point within Microsoft while I was working in the consulting services division, to a point where I either had to take long periods of time on the road to places like South Africa, or I had I was married and had young children at the time, and um, and I kind of made the choice of at the time of family over career. Understood understood, Okay, Well, so how did you find your way into the entrepreneurial world.

5:42 That's very interesting, Um, so after I left Microsoft, Microsoft was still the way I made money. I started immediately a Microsoft Solutions provider, which at the time whether a route for people who had my expertise. Microsoft was trying to limit their risk by having external entities writing code on their behalf after having worked at Microsoft, and so I did that for about ten years from nineteen ninety eight to two thousand and eight or and during that time I did some work for Mark Cuban on Broadcast dot Com. One of my specialties is video streaming technologies as well, and they were using Microsoft Media Encoder to encode video that was sent over the Internet from Indiana and other places for those basketball games you want to transmit. And I wrote some tools that allowed you to insert local commercial content in the middle of those streams without breaking them up.

6:43 And it was that technology that he sold to Yahoo for four billion dollars. So I made I don't know, maybe a million and a half in nineteen ninety nine doing that work. He made four billion. That was all I needed to sell me on Entrepreneur. What a great story brows. That's amazing, totally amazing. M Yeah, that's kind of an interesting return on investment there. So what's also interesting to me is you specialize in building innovative solutions that leverage artificial intelligence, natural language processing, real time communications, and IoT. That's just a quite an interesting combination there. How did you end up heading down that particular path, Well, you know, it was my experience of being a consultant during those two years that Microsoft sent me to their most difficult clients. And there's a component of the technologies that we have at Tribe Health today that are directly descendant from my work during those ten years.

7:46 Ironically, while those sound like vastly you know, different technical areas, they all work with the same dynamics, They have the same kind of structure and to them. And as a result, I built engines because my background was in building compilers. I worked on the compiler for CPUs, PASS and other languages including dot net just before I left. And I build things as an empty container that you populate with the knowledge of the things that you want to manage, and then a way to execute on those things. And as a result, just about anything that you could write can be modeled that way, regardless of the dynamic, and then they can be combined to create an ecosystem of things that communicate with each other, and that is a structure essentially of what we've built with Tribe Core at Tripell Solutions. I wanted to hear about that as well, but before we do, I think it's interesting. I don't know if you remember this and some of our other conversations, but I started my human capital career in recruiting and I was specifically an IT recruiter for those first five years. And what's interesting to me about you working in the space is that you don't have an electical engineering degree. You have a mechanical engineering degree. Correct, That is correct? And how does that You've said something before about this, but how does that perspective, How do you think that changes your perspective the way that you approach coding. Well, there are two things that that work together to change that make my perspective and coding a

9:18 little different. One is simply the fact that I physically can't remember a time that I didn't write some kind of because I started so early. As a result that then it's something that more of like what I am than you know what I do. And because of that, I have a different perspective on how to learn how to do it and how to execute the steps. So that's, you know, that's the first thing that comes to mind when it comes, you know, to doing that. The second thing is that when you are taking engineering at a university. I was at University of Texas, isn't possible to memorize everything they need to know about fluid animates, about you know, leadens, their law, about all these things. There are a few core formulas that you remember and you derive everything from those, right, And it is that thought process, that pattern that is different from the way, at least from what I've understood so far my career hiring computer science students is different from their perspective that they memorize a lot of syntax linguistics for a specific language and they get kind of tied to that technology. UM and as a result, UM, it's less it's more of a memorization exercise than engineering exercise. And as software has evolved, it has been become a lot more important to be more engineering focused structure and UH and understanding that the behavior and

10:50 dynamics, and and that is what I believe puts UM not just those who have an engineering background ahead, but also those who are have degrees in the languages, who speak multiple languages, multiple grammars. They end up with a lot easier transition into understanding multiple types of languages and technologies and a stack fascinating love that. Well, now to learn one other bit here that I think is really interesting about you in the way that you approach your work, because I know you have a passion for beauty in the design of things. I'm interested in how you express your this kind of passion in your work. Yes, so it has to do with the personality that is attached to the software you build in how it behaves. For me, software is a living thing, is a thing that never as long as it's being used, it never dies. It's not a thing that you just complete and then walk away from.

11:52 It's something that forever lives through multiple iterations and cycles. And when you start a project, you kind of pick a personality for that software that governs how it's built, what the rules are for extending it, and um and in how you ensure that can bring bug free and then always does the job that is expective of it and UH. It is that kind of type of thought process that UM, I believe makes things a little different in in in how I build and UH and it's the essence of what I mean about art and technology, because not everything can be uh you know, programmed in to your your software. There's unexpected conditions, there's there's a way that software UM can be designed to um to respond to conditions it didn't expect. And a lot of that can be aggressive in a certain way. It could be very defensive, it could be proactive. It's just like a it's just pretty much like a human being. Really, m that's fascinating again. A thing, None of these things that you've been saying so far are things that I think that I really have heard others talk about. So I think that's your very fresh perspective, or maybe have been out of the game way too long.

13:07 I don't know. But so then now we have to hear about what you're now doing at tri Health Solutions. What's that all about. Well, Tripalth Solutions is all about empowering the individual and to be the constodian in management of their own medical data. That is probably the most broken thing when it comes to our healthcare system today is the fact that the individual is not the one the steward of their own data. It's trapped in some silo that is actually owned by someone else who's the one making money off the fact that they have your data. This is what restricts the movement that you can have within the healthcare ecosystem. It makes it difficult for you to you know, change it, change providers, or or share your data with specialists that you might need, get multiple opinions from multiple sources, um and and create an ecosystem.

14:05 You can't create your own ecosystem around your own data. These are the things that we are wanting to address at Tribe Health because it's the key to the future, especially as more disruptive ways of providing medicine have appeared, like wellness practice practices, um. You know, more people going to chiropractors, more people going to aesthetics practices for skin and other things that have a little bit of a medical component to it. And then a lot of people are into optimization, whether it be you know, mental health optimization, counseling, meditation, UM and UH and all of these things require when you do them to TOM at a high level, then require your data like an ordering like what I'm wearing here keeps track of my sleep patterns, It keeps track of like heart right variability and other things that can be points to other types of warnings for medical conditions or simply tell me that I'm over training and I probably shouldn't work out today. So who is your ultimate customer who buys your is it a device? Who buys well? Our software is provided as a service and is sold in I would say three different ways. One, it's software as a service and we simply we have a module that does a specific job for you that will integrate well with your EMR system or what other system that you're looking for looking for, and you can just buy that and pay a subscription fee and then you're off and running. Right then there our software that is

15:41 a platform that you can build your own software on top of. So our customers for that would be other startups that are trying to do something disruptive in the field that require that they have a way to build an ecosystem around their particular part of the services they provide. Um. You know, those types of things can be sleep centers, like like what we're doing with a company called meta Bio in in Australia where where they can basically allow you to be able to take control of and share your sleep study data with you know with any of your other practitioners, UM it can be uh you know, any of these software companies that we have with two software companies that are using our platform UM with in conjection with the generative AI services to do things like fix the fix the notes that that a doctor takes to assure that when they show up in a medical record there they show up in a way that is likely for them to be able to get paid on time. And then also UM likewise other generative AI technology that that can fix uh medical records that provide UH notes that that defend a particular charge when a charge or a preorthization or something like. It's like that is denied. Not as fascinating, Travis, That just cool. Now if that weren't enough already what you're doing. I also noticed on your LinkedIn profile that you're up to something called think King. What is that? Yes, So thinking is really kind of my incubator of ideas

17:17 entity where where we actually started with an earlier version of what is now Chat, GPT and all those types of technologies I just work with in natural language processing on a project with Stanford University perhaps eight nine years ago, where we work with their computer science department to build a project that was called Almond, which was basically an open source version of Alexa and allows you to give you a model for doing skills and things like that same thing as Alexa does. The difference is all the models will will execute locally so that you can preserve privacy and all of that, and it varies similar to how Siri works in principle, where everything gets processed locally, but then giving you access to well an ecosystem of other providers that can that can provide you skills that then you can download and run locally. And this is this is a lot better than you know, uh, than a model like Alexa, where everything goes up to the POWD you are listening in on all your conversations and you get it all. So so in Google's very similar, uh. This basically guarantees your privacy will be preserved while at the same time ensuring that that you can have models that are that are consistently updated and trained at the same time so that you get the same level of performance. Troubles. That's amazing. You know, I really have a trumous respect for what you do, because, as you know, it's way out of the line of what I do. So

18:51 really appreciate you sharing getting some foundation here on what where you come from and really what goes into your work. Let's grab our first break on your host, doctor Earleis Quartez on Aero Travis James, who is the fractional CTO of Tripe Health Solutions. We've been hearing about where he's come from, how he's built us expertise. After the break, we're going to get into how we can actually use chat GBT to become more efficient, effective, and distinguished. Stay with us, We'll be right back. Doctor Elise Cortez is a management consultant specializing in meaning and purpose. An inspirational speaker and author, she helps companies visioneer for a greater purpose among stakeholders and develop purpose inspired leadership and meaning infused cultures that elevate fulfillment, performance, and commitment within the workforce. To learn more or to invite a lease to speak to your organization, please visit her at Elise Cortez dot com. Let's talk about how to get your employees working on purpose. This is working on purpose with doctor release Cortez. To reach our program today or to open a conversation with a lease, send an email to a lease a l se at Elise Cortez dot com. Now back to working on Purpose. Thankteresting with us, and welcome back to working on

20:22 Purpose if you're just joining the program now. My guest is Travis James. He is the founder of Tripe Health Solutions. He specializes in building innovative solutions that leverage artificial intelligence, natural language processing, real time communications, and IoT. I'm your host, doctor Elise Cortez. Okay, so now we have to get into how we can actually use this stuffic before we do. For our listeners and viewers who don't really know anything about chat GBT, let me just say a couple of things about it that I've learned from my research and what you've taught me by sharing some of these resources. So I understand that chat GBT is. Well, we can already say it isn't a psychic oracle or something out of sci fi well like some people might be aching. It's a language model using huge sums of data. Um, so I think that's really interesting just to be able to start there. So can you say, help us understand a bit more about how how it actually works. Sure, so you know what GPT stands for is a generative pre trained transformer. And the third yet you to hear talk of GPT two, three, and four.

21:25 You know, those are generations of the model. In each generation they is trained on an increasingly larger set of of of seed data and data points you know, so um uh like. For instance, GPT three was trained on one hundred and seventy five billion parameters. GPT four was trained one close to a trillion parameters. Now what's unique about GPT technology is in the t part. The transformer part is important because it is a it's a new approach to machine learning and how to train a model and UM and how to have that model execute um at runtime based on changes that it might have but you might have in the environment UM and and that is what makes GPT magical.

22:21 There have been models for natural lanage processing and and and natural landage understanding and things like that that could perform a lot of these functions UM based on a similar method. You train it on a huge amount of data and and then you get these models are able to predict things or classify things. The difference is that in order to make changes to those older models, you had to train them again, right, which on a data set um uh and that that training is extreme expense, it takes a long time to do and uh. And it's also fixed. It's fixed with regard to the types of ambers that it can understand. And then there are limits on its on its function.

23:04 Transformer technologies allow you to take a base model and expand it in its features and functions based on data you provided. Right. And what's interesting about chat GPT is that you can make it remember your h the history of your conversations by providing what are called embeddings, where basically you take the other the previous questions and answers and things like that, and then you can feed those back into the next request so that the engine has a context for understanding things. Now, the base chat GPT model can really only remember about the last four or five things you said. Much have you ever played with it where you want to try to do a long conversation, but about four or five iterations in, it's going to forget all about It's what you're talking about right in the base model. And that has to do with the fact um that with each request you're sending a larger and larger amount of data. The tokens the amount. A token is a personally uh three force of a word that um that is all the words that you have sent before it into the engine.

24:18 And then you approach a limit, like in the base model there's like a two thousand to token limit. If you're using the paid version, there's a four thousand token limit. UM. If you're using upt uh four with open ai services like through um uh, you can get up like five hundred is a huge limit and you get up the five hundred pages of information back and forth. Well you know so UM, but if you're paid by the token um when it comes to the paid models, and so you want to be efficient with that and and to be efficient that is the reason why you have word embeddings, which basically build an equation that represents a catalog of all the similar stuff similar to the to the inputs that you have given, so that you give the engine a very rich context with a minimal amount of data.

25:11 And that's how you optimize those engines so that they can perform better. And another trait of GPT technologies is that you can fine tune them, which is a mini training method that doesn't require to retrain the whole thing, which you can train on data sets that you provided that that prevent what are called hallucinations. If you ever have heard this, yes, yeah, if you're heard of hallucinations, chat GPT will will depending on the parameters you give it, it will attempt to give you an answer, which means sometimes it'll just make it up and the thing you'll find it sometimes the things that tells you don't actually exist, and things like this, but they logically will fit, but you don't really exist. And so to prevent hallucinations, you're certain parameters that you need to set in order to ensure that the engine will only answer back things that are that actually exist, and then also provide a boundary around the logic that it can use in order to construct an answer. Fascinating.

26:15 I'm so glad I had you want. This is just I'm learning all kinds of things, and I did actually read several articles about this before I even brought you on, so that you're taking it a whole little level. So one thing I have learned is that there's the criticality of prompts, and the quality of your prompt is really what delivers the quality of a response. Talk to us about prompts. Yeah, So prompts. Prop engineering is what is now called is extremely important and is the thing that can ensure that you can use GPT type technologies and large language models to expand the number of tasks that it can perform. So to give an example, currently in the base model, you put a prompt in there, um um, it will provide you back um, you know, the the best answer that it can um.

27:07 But that is without context, there's an error. Is a language reeken where you can provide as Microsoft supports, where you can provide a context for the system itself to say system you are a an expert in accounting, right, right, And then you can also set context to who the user is. The user is um a person that really needs accounting help. Right, You set that context, and then you can provide other context to uh in the you know, in a form of lists and all and things like that, and embeddings about the situation that you're wanting to ask about. And then you ask the question right now, with that formed prompt structure, you're going to get back very accurate responses, right, that are more accurate than if you just blast away, you know, without any structure to your prompt. And I've even played with us because I have I did, I did, I do have the free version. I've actually done done a few chats now and it's been interesting. But even in what I discovered is that when you tell it to do something like give me a satirical response, something that specific, M was pretty interesting that you could actually really define or something that's cutting edge or something that would be considered controversial. I thought that that was really pretty pretty interesting that you could be that specific and it would actually deliver a pretty pretty finite response to that. Oh absolutely, um chat GPT. GPT three was the version that was starting to become aware to that extent to understand nuances

28:41 and meaning and understanding. Now GPT four goes way beyond that. It's able to actually construct logic around those areas of subject matter. Um it is. It is more than a little leaps and bound the head of GPT three, and it's in its potential to provide guidance, answers and things like that. How long has this technology been around? Transformer technologies have been around for about four to five years, and it started with chat with what not Chat with the GPT two, which was the first model that really started getting good results.

29:26 With regard to asking random questions in a particular subject matter area in getting back really good responses, GPT three went another level and can actually construct lists of things, of suggestions for things to do right when you give a certain condition, and JP four goes even beyond that to be able to draw conclusions. Wow, that's cool. Yeah, that's amazing, absolutely amazing. Okay, So now I want to bring this into the application here. So, as I said in the very beginning, what made me want you to come on the show was we had a conversation about I was saying something about gosh, universities, I'd hate to be a professor today, and trying to decide who actually wrote these papers, and you said something like, well, it's going to make it's going to require them, professor to be more on their toes and know their area of their area. Which all that was really interesting.

30:17 So now what I want to pull up for you is I want you to talk to us about how chat GBT can be used to challenge traditional models of education and can it replace human teachers? Yes? Actually, okay, so the answer to both those is yes. I've long been had as a side interest, you know, disrupting education And to give you an example of where I believe education needs to be disruptive is that educational systems, especially public education, they are forced to orient their model around the low common denominator. The average student you know who is who is either a visual or auditory learner UM, not so much the hands on type learner and UH. And as a result, there are kids who are really smart that suffer from kind of being a square peg in a you know, in a in a round hole going through standard education because of GPGPT four special specifically, which is what we call multimodal, meaning that it can process more than just text and things like that. It can process sound, video, UM images and provide those back.

31:27 So as a result, UM as a training tool it is is particularly powerful. UM. There's there's not anything, any subject matter that you couldn't explore using with a proper, proper set of prompts and and learn about UM using GPT four because you can set your level of context as as UM you know, the user at any level. If you ever have tried to say, you know, explain you know you know Meeton's third law of thermodynamics, UM know to as if I was a five year old it will give you an excellent response that that will take an into account. Take five, that's amazing, and you can move up from there to say, you know, whatever background you have, you want to learn about you know mathematics, and mathematics, I believe is one of the places that UM GPT technologies or uh you know, general of AI technologies can be of particular use because it's hard to find truly good math teachers understand math at a level that a. You know, it's notoriously the UM the hated subject for most kids in school is math, and it's all because it's not taught properly. And T three and four can provide you a math teacher that will understand you and how to explain certain nuances to you, whether it be there about the equations you know,

33:00 different equations, calculus, algebra, trigonometry, all those can be put in context in your context, and it really helps when it comes especially since you can also eventually train GPT to take into account cultural background type of things. So when if you come from a particular cultural background, you have a greater chance of understanding the content that is in textbooks and things like that than someone from a different background and these things can be accounted for and in the use of a generative AI technologies to assist in training people to understand anything of any complexity from where they are. It's amazing, Travis, this is so cool.

33:50 Let's scrub our last break here. I'm your host, Dctriley's Quartez. We've in the air with PRAVS James, who is the founder of Tripe Health Solutions. We've been talking a bit about how we can use CHAGBT. Now first education, after the rake, we're going to get into how we can use it in other industries, including healthcare. Stay with us, We'll be right back. Doctor Elise Cortez is a management consultant specializing in meaning and purpose. An inspirational speaker and author, she helps companies visioneer for a greater purpose among stakeholders and develop purpose inspired leadership and meaning infused cultures that elevate fulfillment, performance, and commitment within the workforce. To learn more or to invite a lease to speak to your organization, please visit her at Elise Cortez dot com.

34:44 Let's talk about how to get your employees working on purpose. This is working on purpose with doctor Elise Cortez to reach our program today, or to open a conversation with a lease, send an email to a lease Ali se at Eleas Cortez dot com. Now back to working on purpose. Thanks for saying with us, and welcome back to working on purpose if you're just joining the program now. My guest is Travis James. He is the fractional CTO of Tribe Health Solutions. He has over twenty years of experience and software development, machine learning, architecture, natural language processing, and decentralized distributed systems and has been teaching us about how to leverage chat GBT to increase effectiveness and to distinguish our individual contribution. I'm your host talk to Elias Quartez. So I knew this on your LinkedIn profile that you have a that you put you re shared an article that I thought was pretty interesting. It was it was about how chat GBT for health provider for help for help providers and how how can the chatbot make the professional jobs easier? So can you comment a bit about that? How does it make their jobs easier? Sure? So, um, you know the cool thing they're about chat about GPT technologies as as it specifically applies to healthcare really have to do with the fact there's a shortage of healthcare workers in certain areas. To give the example, there's a shortage is

36:15 a dramatic shortage of mental health practitioners. And it's very difficult to find a mental health practitioner, especially for children, which is a passion of mine because I have a son who has schizophrenia, and it was a real difficult journey to find, um the right kind of practitioners that would take the time to diagnose them properly and get them on the right medication right. And so to give an example where I've done. One thing I've done personally with GPT technologies is I've used them, along with certain outputs from assessments to determine, um, what type of generation second generation antipsychotics would be better to prescribe for my son for schizophrenia. And there's some thirty different variations that all act on the same receptors and everything in different ways have different side effects. But what I found alarming was that these statistics are horrible with regard to getting the right medication applied. There's only on average, there's only a twenty percent chance you're going through a this is going to a practitioner that you have found after probably months of waiting, and they do an assessment and they write a prescription and that prescription has a twenty percent chance of working. Right. Wow, Now I have constructed one of the models that we're that we're playing with where I can hit it around eighty percent at the moment. With some specific training other things

37:49 we're working on, we could get that tone to where we because all the data that's needed to support you is already out there and you actually have a lot of it, but it's not actionable. And that's that's what Tribe Health is about, is getting your medical records, can all your medical data and all the data about you put in a form that is actionable to be able to help you, that tools can be used to help you. And that is what's what's going to change, Uh, you know, the face of medicine is being able to do that, especially since one of the uses of chat GPT is to train have fine tune models that can take you through conversations with what would be normally a therapist because it's such a shortage, right and that you know, you could provide some measure of self care that's automated through AI that can bridge the gap right between your current state and your two B condition at some level. And we started that work a couple of years ago when we wrote an app that is now used by UM it's called Corticode, so by a company called Lexipole that is used by first responders all across the country. We talked about nine percent of the jurisdictions inside of California use cortaco to support the mental health wellness of their police officers. And in there we have a little mini assessment that you can take. They say whether you or

39:21 at risk for PTSD, for you know, polar disorders and these other little things. And the data is kept local in private, so that it cuts in the stigma that is normally associated with pursuing mental health treatment and counseling. And that's where the box, as they evolved in mental space, could really help out a lot, because it cuts the stigma out. You're not talking to a person that where you're worried that that person might tell your your superior officer or someone that you wouldn't want to know. That you were there right all private and encrypted for you. And that's what our platform provides you is a way to make your data actionable in a number of ways, not just mental health, but also you know, when it comes to you chreology, when it comes to you know, anything that can be predicted from your sleep, All those things can be done in a way that you can be alerted first of certain things that you would normally go to a doctor for a check up this heat and then tell you that, hey, you might want to go to your chahalitius because you might have um, you might be at risk for a stroke because we detected these types of you know, these little patterns and things that you would have to otherwise wait for a negative event to occur that then gets you into the healthcare system to then maybe find it or maybe not. Wow, Travis, You know I very frequently on the show when I'm talking to my guest, I get so present too. You know, we all have one precious life. What are you doing with your one precious

40:53 life to make a difference? And I really applaud when you're doing with your one precious life to make a difference. This is just amazing. So now I'm going to ask a very selfish question. So you know that I'm a management consultant, and of course the work that I do is so much about speaking and teaching and such, and it's obviously it's got a psychological component to it's got a spiritual component to it. How can I better use this kind of technology to better serve my clients? Well, you know that is another place where I believe this will have in the next generations GPPT five and beyond will have great impact on your ability clone yourself too. That sounds good.

41:35 I can I can handle that. That sounds good. So so you take all of your expertise in your field, all your experiences or your knowledge, and let's say you can embed all of that into a model that is trained similarly to chat GPT to be chat GPT dash doctor Cortest, and you can actually offer up a chat where where a person can talk to you get all of your answers as if you the one giving them, because it's been trained on all of your logic, your behavior, all you think you've ever written um and the parameters around how you come to certain types of conclusions, and it would do a very good job of giving the same kinds of answers.

42:22 And then you can set in and into it parameters that say if if your if your tolerance level as far as the you know, probability of the answer being correct gets to x amount that you drop out and say, well, I really can't answer that for you, and um, and then we will let you pick it up with you or someone you designate to be able to get into the human version of your ecosystem. And that's where I think it allows you to Um, it would allow you to make more money off your content because now people don't just read your content, they can have a conversation with you about that content and with in relation to everything else in the world has ever been written in that subject. And uh, and then allow you to be able to provide a mechanism for sharing your knowledge with others without having be the one that they're doing it. Oh my gosh, job is that so exciting? Thank you so much for that question. That was so cool.

43:23 Okay, now we can't really not address the big elephant to the room for some people that are really just frightened silly by this technology here. They're worried about job losses various fields, you know, they're worried lots of things. It's going to take over, it's going to people will become obsolete, how do you how do you respond to those kinds of big concerns? Well, um, and it depends on what your purpose as a person is as to whether you need to worry um and and depending on your purpose, UM, it may not you probably need to worry, but you probably need to adjust you think in a way. You know, if because see chat, GPT can't replace a human it can, it can be. It can perform a lot of human tasks, artomate a lot of them, but it never takes away a job. It would change the way you would do a job.

44:20 And if you're chounting on um, you know, gas engines. You know, if you're you're banking on gas engines for for as an example being the way we're going to build cars forever and um and you feel entitled in being able to UM to build and service gas engines, Well, that's not a reasonable expectation. So because we all evolve, everything evolves, you always need a human for something. And what your job would probably change to be is being an input mechanism to this engine to to continue to train it rather than actually doing that engine's job, which your job is also will work more money, And that's what I've always said, and that's I've talked about this in my first book as well, so I aligned very much with that.

45:13 So now if we can take it one step further, and this is where I get really excited about this, as well as somewhere in a conversation or something that I read here something about the notion of how we can actually use technologies like chat GPT to enhance our own individual distinction in the way that we work and express ourselves. How can we do that well? I can give you a personal example on that. I think you know, as a lot of my friends and family do for about fifteen years or more actually Netclace or seventeen. Every morning when I do my personal reading and personal development, I pick a quote out of that reading or a quote that someone shared in the context of that reading, and that strikes a chord with me. It's something I'm trying to work on, or is something that means something to me, and I send it out as a text quote to to everyone UH on my current list and I probably have like forty people on that list termedly now um.

46:12 Over the years. At first it was just text I would send UH. Then I started mixing in images and I would go out to something like Getty's Images or something like that, pick an image that I think would would fit the quote and everything, because I found it was it was a powerful combination. You're hitting two s two senses there, you know, UM or two types of thought patterns when it comes to art and UH and then text uh, you know, to some really cement the idea of the quote. Well, since then, I've gone another level where I use chat GPT to actually generate a style of prompt that I then passed to a stable diffusion model to generate an image that provides an idea of the quote that has never existed before, and then I put the text of the quote on top of that.

47:06 And that I have found to be the most powerful expression so far of the ideas with these quotes, because it it provides a visual that is tied to the essence of the quote. And I have just in the past year evolved how I generate the prompts with those things and the chain that I use for those things in order to generate specifically the types of images the imagery that you want. And you know the future of this is to be able to use that in mental health treatment and also just encouraging people even in the workplace, and you can take to take into account because the generator of model, you don't have to generate the same image for everyone. You can generate a different image person based on their particular situation, which you know about them, or what or what the engine knows about them because of what they what information they provided, and you can end up with really powerful personalized representations of an idea that you want to express to those people that would then really help them.

48:15 That's so cool. Well, we ran out of time already here, but I want to give you the chance to close here. So Travis, you knew the show was listened to or watched by people around the world. We care about eating the elevating experience of work in our place in it. What would like to leave people with today? I would like to leave people with the idea that technology sometimes gets a bad rap of being impersonal and really less than artistic. And I would say it's it's actually in reverse that that technology, when used properly, can take into account all of the factors that make each and every person unique and give them precisely the answers that they need when they need them. In the context that they need them. What a beautiful way to finish. Travis, You've sold me for sure. Thank you very much for being Working on Purpose. It's been great to have you and great to learn from you and be inspired by you. Thank you, Thank you so much. Listeners be worth the world. Learn more about Travis James or the working his team are doing at Tribe Health Solutions. Just go to Tribe Health Solutions dot com. See you next week for another elevating conversation, and remember that works in an integral and important part of our lives. It can be one of the best adventures and means of realizing our potential and making the impact we crave. So let's work on Purpose. We hope you've enjoyed this week's program. Be sure to tune into Working on Purpose featuring your host, doctor Elise Cortez, each week on W four C. Why Together We'll create a world where business operates conscientiously. Leadership inspires and passion performance and employees

49:49 are fulfilled in work that provides the meaning and purpose they crave. See you there, Let's work on Purpose.