Welcome to another exciting episode of Data Driven.
Speaker:Today, we have a truly unique guest, legendary theme park
Speaker:experience creator, Jeff Thatcher. With decades of
Speaker:expertise under his belt, Jeff has crafted groundbreaking
Speaker:exhibitions worldwide, from immersive museum tours to innovative
Speaker:AI enhanced live experiences. In this episode, we'll
Speaker:dive into how Jeff is blending creativity with cutting edge technology
Speaker:to create stories that don't just entertain but also connect emotionally.
Speaker:From talking paintings to college football heroics, Jeff's work
Speaker:shows how AI isn't just a tool, it's a bridge to imagination.
Speaker:And a quick note for parents, while we don't use any profanity,
Speaker:there's a discussion about Saint Nick that might not align with what the little
Speaker:ones believe. So fasten your seatbelts for an episode
Speaker:that redefines storytelling in the age of AI.
Speaker:Well, hello, and welcome back to Driven, the podcast where we explore the
Speaker:emergent fields of data science, artificial
Speaker:intelligence, and, of course, data engineering. With me this time,
Speaker:is my most favoritest data engineer in the world, Andy Leonard.
Speaker:How's it going, Andy? It's going pretty well, Frank. How are you?
Speaker:Good. Good. Good. We're recording this just before Thanksgiving, which is gonna
Speaker:be what I like to call the time of madness. Because 2
Speaker:of my 2 of my kids have birthdays in December and, obviously
Speaker:yeah. But today, I'm
Speaker:excited. I really have an interesting guest here.
Speaker:And he is, he's been
Speaker:told to me by his PR person. We had a little bit of banter about
Speaker:this in the, in in the thing. But I would say it's true. Legendary
Speaker:theme park experience creator, Jeff Thatcher. And for the last
Speaker:4 decades, Jeff has been pushing the boundaries of live experiences.
Speaker:With his company, Creative Principles, Jeff has designed ground
Speaker:beak breaking, exhibitions around the world from,
Speaker:doing some work with the largest zoo in the United Arab Emirates
Speaker:to designing something that is called a mobile
Speaker:reverse vending machines, that managed to gather
Speaker:13,000 donations in one season to creating an immersive
Speaker:tour at the, Ozark Ozark Historic Mill
Speaker:and more. But now Jeff is exploring the many ways that
Speaker:artificial intelligence can elevate the live experience and designs.
Speaker:That could mean museum visitors forming an emotional connection with a
Speaker:holocaust victim or, visitors forming
Speaker:a relationship with an indentured field worker. Individuals could ask
Speaker:these characters or museum subjects questions,
Speaker:that a curator never would have thought of, and receive
Speaker:thoughtful detailed answers thanks to the power of
Speaker:AI. So welcome to the show, Jeff. I'm definitely,
Speaker:very curious about this, and I also like the the your your description of let's
Speaker:not let the fun police ruin AI because I can totally
Speaker:see that happening. Amen, brother.
Speaker:So so tell us about You know, I was just so it was funny. I
Speaker:was just watching all the people complain about the new Coca
Speaker:Cola, holiday magic commercial that was produced in AI.
Speaker:And everybody's all this backlash about using artificial intelligence to create
Speaker:this commercial. And I'm like, wait a second. Don't they know that Santa Claus is
Speaker:fake? And you're complaining about using artificial intelligence to create
Speaker:a commercial about someone that's not real? Or talking polar
Speaker:bears? What's the problem? Right. Right. It's
Speaker:all fake. It's okay. We love it. It's storytelling. It's
Speaker:alright. You know? It's okay to believe in the magic.
Speaker:But how can you complain about using artificial intelligence to
Speaker:create something that's in and of itself not
Speaker:real. So and Oh, that's a good point. And if they you know,
Speaker:it's one of those things where if Coca Cola hadn't done something kinda cutting
Speaker:edge, they would have been just labeled another big company that's not
Speaker:using AI and being cutting edge. Right? Like, it's kinda like the they're in a
Speaker:no win situation with I'm starting I'm starting to think
Speaker:honestly that we should just stop calling things AI because, like, we
Speaker:just opened. And, you know, listen, I'm not trying to, like, overstate it. We
Speaker:actually did our research on this because, you know, if you look at
Speaker:AI in live experiences or AI in museums
Speaker:or attractions, the very first use of it was in 2017 in
Speaker:Brazil where IB IBM and Ogilvy with Watson
Speaker:went down to Brazil, and they allowed people to actually talk to
Speaker:paintings and ask paintings, you know, these paintings as artwork. You could ask the
Speaker:artwork a question. You know? I remember that. I remember there was a
Speaker:Salvador Dali. Yeah. Well, that's that's a different project. That's a that's
Speaker:a different project. Okay. Yeah. That's a different one. So 2017 was in Brazil
Speaker:with Watson. And then Salvador Dali was 2019 in
Speaker:Saint Petersburg, Florida, the saint the Salvador Dali Museum, where you can
Speaker:actually talk And they updated again, I think, in 2021, where you can
Speaker:actually talk to Salvador Dali. And then there was
Speaker:the Shoah Foundation did a AI experience where you could actually talk
Speaker:and ask, you know, like personal questions of Holocaust survivors, like, you know,
Speaker:how do you still have joy? And what was it like when you were
Speaker:a kid? And, you know, just you could ask it anything. Like one one
Speaker:of these Holocaust survivors, you could ask him or her anything you wanted. And
Speaker:then the National World War 2 Museum did this something very similar to the
Speaker:show a foundation where you could, you know, talk to a USO dancer and talk
Speaker:to a pilot and just ask them questions. But what we did
Speaker:at the College Football Hall of Fame in 2024 was we actually made the guest
Speaker:the star of the experience. And no one had ever done that before Where, you
Speaker:know, the guest comes in. You know, they they stand at a kiosk. Their their
Speaker:picture is taken 5 times. They answer questions
Speaker:like, Frank, what's your favorite football team? College football team. That was
Speaker:not a rhetorical question. I actually wanna know. Oh, I actually
Speaker:don't follow college football, so I'll, I don't know. Fordham Rams.
Speaker:I'll give a shout out to you. Rams. There you go. What about you, Andy?
Speaker:Do you have a favorite college football team? Sure. We'll go with the Virginia Tech
Speaker:Hokies. There you go. The Hokies. And then you ask what the
Speaker:least favorite team is. Most people say Alabama or Ohio State or one
Speaker:of the big ones, but, you know, your least favorite team. And and then, you
Speaker:know, you know, what what do you what kind of football food do you like?
Speaker:And how do people describe your personality? So it kinda gets your coaching. So, yeah,
Speaker:basically, you know, the kiosk asks you a bunch of
Speaker:questions. You upload your pictures. It all goes up into the cloud, all processes.
Speaker:And then as you go to 19
Speaker:different exhibits around the hall of fame, you become part of the exhibition.
Speaker:So when you go, for example, to the coaches exhibit, and
Speaker:there there's an actual coaches exhibit that talks about, you know,
Speaker:Lavelle Edwards and Lou Paterno and all these great coaches and Newt
Speaker:Rockne. You get to actually there's a creates a mini
Speaker:mockumentary about your life as the best coach that never was. When you go to
Speaker:the cheerleading exhibit, you see That's really cool. Yeah. When you see the
Speaker:TCU cheerleading outfit, you see the, you know, Notre Dame
Speaker:mascot, you you then become you get to pose with your favorite team's
Speaker:mascot. You get to see yourself in a cheerleading outfit. You get to see
Speaker:yourself in the weight room. You get to see yourself as a flyover pilot. You
Speaker:get to see yourself posing with the Heisman. You get to see yourself
Speaker:in the exhibition. And, honestly, it's never been done before.
Speaker:But our challenge has been that everybody just is like, oh, yeah. AI.
Speaker:Whatever. You know? You know what I mean? Because it's like
Speaker:because, you know, we actually had a reporter from Wired come in, and
Speaker:she was like, man, you guys totally undersold this. And we're like, no. We really
Speaker:didn't. We told you exactly what it was, but we have this
Speaker:this filter over us with AI where so many people are talking about
Speaker:it, and so much of it is hype. And so much of it is beyond
Speaker:hype. It's unbelievable. Like, I was just looking at the new, oh,
Speaker:it's a Google thing where it turns anything into a podcast. Like
Speaker:Notebook l m, actually. Yes. Thank you. Notebook l m. Talking about that,
Speaker:before you joined. Yeah. Yeah. That's amazing. Right? So you so you have these
Speaker:two issues going on. You have one where every single company in the world is
Speaker:labeling what they're doing as AI, and it's not really true. And then
Speaker:you've got the other hand where people are talking about and doing things that are
Speaker:groundbreaking with AI, like we did at the College Football Hall of Fame in Atlanta.
Speaker:And everybody's like, whatever. You know what I mean? Because they
Speaker:don't interesting dichotomy. You're right. Like, I I now that you pointed out, like, you
Speaker:know, the whole thing of, like, you know, people do not
Speaker:realize that, like, you know, obviously, there are no polar bears looking, you
Speaker:know, cracking open, you know, glass bottles of Coca Cola with
Speaker:their, you know, with their paws. But, like, you know, that was CGI. Why was
Speaker:that, like, you know, praised and became a cultural icon? And then this
Speaker:is, you know, universally panned. Now I will say from from
Speaker:from looking at it, there are scenes in there where it definitely looks
Speaker:uncanny valley when you have the people, but that's to be expected right
Speaker:now. You know, you know, I am not a data
Speaker:scientist like Andy. Right? I I when it
Speaker:comes to programming, I'm I'm not a, you know, I'm not
Speaker:an AI expert. I don't consider I mean, I use AI, the
Speaker:groundbreaking work with AI, but the people that did the programming and did the
Speaker:heavy engineering prompting were a great partner in New Zealand called Hypercinema.
Speaker:But I have to say, what what we always forget with new
Speaker:technology is that it's really about the story. It's about telling a
Speaker:great story, especially on the creative side. You know, I
Speaker:mean, you know, people clients sometimes
Speaker:will will like, oh, what if people say this was a waste of money? Like,
Speaker:you know, like, oh, I'm not I'm not sure we could spend you know, $2,000,000
Speaker:on an LED tower in a lobby because then they'll say, oh, you're just wasting
Speaker:money. And I say, well, it's it's just like the movies. How
Speaker:often do you walk out of a movie and say, well, that was a big
Speaker:waste of money and time And it's bad. You never say
Speaker:that when you walk out of a great movie. You never walk out of a
Speaker:great movie and say, oh, that was a waste of time and money because it
Speaker:was a great story. But when you walk out of Michael Bay's Pearl Harbor, you're
Speaker:like, yeah, the effects were great, but what a waste of
Speaker:time. What a waste of money. Right? Because it
Speaker:was it was. It wasn't a great story. So, you know and
Speaker:technology, specmology. You know, it's like people forget. I mean, animatronics,
Speaker:we think are amazing, and we think Walt Disney invented them. That's not true. They're
Speaker:actually invented Marie Antoinette and the Silver Swan. 17th
Speaker:century, 18th century, we were making animatronics.
Speaker:The holographic experiences that you see at Disney and Universal Studios
Speaker:and all these things. The 19th century Pepper's ghost that was
Speaker:invented in the UK by an illusionist.
Speaker:3 d is great, and the new liminal
Speaker:space 3 d LED screen is amazing because it gives you
Speaker:10 times more projection and 10 times more depth of field and it's better on
Speaker:the sides. So, you know, technology keeps improving. But, you know,
Speaker:3 d has been around since, what, the 19 forties. It's but how many
Speaker:of us have seen really lousy 3 d movies
Speaker:or 4 d cinema or 5 d cinema or there's actually a theater in
Speaker:China that says it's a 14 d cinema which is just ridiculous and
Speaker:stupid. Right. But I know 14 d. But
Speaker:it all is about, are you just gonna use it to tell what what are
Speaker:you gonna do with it? Right? What are you gonna do with that technology? What
Speaker:are you gonna do with that data? You guys talk about data. Right? Right. How
Speaker:often do people take data and just do horrible things with it? You know,
Speaker:how do people take it? You gotta tell a great story. You gotta
Speaker:use it in a way that puts people in
Speaker:the story. And, you know, the analogy that we use all the
Speaker:time is I I don't know how if you guys are into theme parks, but,
Speaker:you know, most of us have been to a theme park where they have the
Speaker:old time photo studio in the western themed land, right, where you go
Speaker:in and you put on the cowboy hat and the boots and the vest and
Speaker:the gun and your wife or your girlfriend,
Speaker:sometimes she's a salon girl. If you wanna be more stereotypical or she'll be
Speaker:a cowgirl. Hopefully, they're not there at the same time. Well, hopefully,
Speaker:you're posing together. Right? Yeah. But, you know. Oh, I see. Yeah.
Speaker:Definitely. With with your spouse
Speaker:or and or your yes. Okay. So you're, you know, you're posing
Speaker:in this you're posing in this, you know, you're posing in this outfit.
Speaker:Right? And it's fun, and it's an experience to do that. Well, what
Speaker:we've done at the College Football Hall of Fame is essentially allow any guest
Speaker:to pose as a football player, as a coach, as a cheerleader, as
Speaker:a marching band, as a historic fan in the 19 twenties, as a historic fan
Speaker:in the 19 eighties, as a flyover pilot. But we've
Speaker:done that for 764 different teams. Now if
Speaker:you were to actually go acquire
Speaker:764 football uniforms for all sizes,
Speaker:different genders. And then the same thing for
Speaker:cheerleading costumes, uniforms, marching band uniforms. The warehouse
Speaker:would be the size of that warehouse in Indiana Jones. Right? There's a lost ark
Speaker:at the end of the movie. It's totally impossible. So all we
Speaker:did with AI is something that we've been doing forever in the theme park industry,
Speaker:which was we put you in the story. We immersed you in the story. We've
Speaker:just been able to do it with AI with the scale and personalization that's not
Speaker:possible anywhere else. And
Speaker:that truly is as a experience designer as a
Speaker:storyteller. That's what excites me about AI is being able to
Speaker:tell great stories and to put people in the
Speaker:story. And I have to tell you that is something that isn't
Speaker:fake. That is something that is very real. When you see
Speaker:someone walk onto the football field, it's like
Speaker:the College Football Hall of Fame has this massive football field at the the finale
Speaker:experience. Right? Well, it's not a complete it's like about the size of
Speaker:a of a basketball court. Right? But it's a football field. Right? It's got the
Speaker:green grass and it's got a big jumbotron at the end of it and it's
Speaker:got a goalpost and you go in there and you go into the football field
Speaker:to actually, you know, play football, like throw, catch, kick and things like
Speaker:that. But when you see people walking in
Speaker:to that football field and they see a video play
Speaker:of themselves, it's a recruiting hype video with them in a uniform that comes over
Speaker:and says, ladies and gentlemen, please welcome Andy Lender to the Ohio
Speaker:State Buckeyes. You know, you know, we're really excited about Andy's potential
Speaker:as a wide receiver for, you know, when they see them,
Speaker:their reaction is not fake. Their reaction is real. Their
Speaker:reaction is to put their hands in the sky, to pump their
Speaker:fists, because now they're part of their favorite
Speaker:team. They're part of their college football experience. They are seeing
Speaker:themselves in the story. And when you see yourself in the story,
Speaker:it feels very real to you. And so that, to me,
Speaker:is the exciting part about AI is in the future. You know,
Speaker:when you start seeing this, the video tools that are coming from Meta
Speaker:and, you know, you know, OpenAI and
Speaker:everything else coming down the road. I believe that
Speaker:you and I, that everyone, all the guests, all
Speaker:the consumers will demand to be part of the
Speaker:story because if they're not, it just won't feel the
Speaker:same. So when you go ride Pirates of the Caribbean in a decade,
Speaker:you'll be in the ride. You'll be actually
Speaker:in the ride with Jack Sparrow. You'll be one of the pirates
Speaker:on the ride. You'll see yourself in the ride.
Speaker:And it'll be very interesting to see if the same thing happens in Hollywood, where,
Speaker:no, I actually wanna be in the movie. I I, you know,
Speaker:when, you know, when I go watch in 10 years, you
Speaker:know, imagine redoing Rudy with AI.
Speaker:And when the Notre Dame coach, Dan Devine, is giving
Speaker:that great pep talk in the locker room, you know? And
Speaker:I just love that scene, you know, where he's like in there at the locker
Speaker:room and Rudy's in there and all the other players around it. And he's like,
Speaker:he's like, gentlemen, this is our house. And no
Speaker:one, and I mean no one comes into our house and pushes us
Speaker:around. But in the future, you could
Speaker:be one of the players kneeling next to Rudy.
Speaker:That could be me. I could totally see that. I mean, you kinda get
Speaker:glimpses of that now. Right? I mean, there's a lot
Speaker:of music generation. Right? Like, I could easily see where
Speaker:I want I'm having a bad day. I need some inspirational songs
Speaker:that speak to me, and I want it in the style of pit bull. And
Speaker:I want this type of, like, you know, this type of song about what I'm
Speaker:working on. Yeah. Right? Yeah. You can kinda do that now with with a tool
Speaker:like YuDio. And there's 100 of them. Right? Like
Speaker:but, you know, the whole idea of, you know, pop music where
Speaker:everyone listens to the same thing. I mean, it's,
Speaker:you know, it might just be customized, like, not just a customized
Speaker:playlist, but customized songs on your playlist. Like, it's not
Speaker:it's not that outrageous. I mean, like, when you say that, I'm like, I
Speaker:could see that being a thing. Right? Because Yeah.
Speaker:Yeah. Cinema is a 100 ish years old. I mean,
Speaker:it's time for you know, it's it's due for disruption of some sort right
Speaker:now. You know, we you know, I don't and if and
Speaker:and literally sorry. I've just got get passionate about this. No, please. I love
Speaker:Scott Wiener if senator Scott Wiener of California would have been alive in
Speaker:1910 or whatever it was, you know what I mean? He would have been saying,
Speaker:oh, yes. This silent cinema, we need to make sure it's safe for everyone. You
Speaker:know what I mean? Right. Right. Right. Right. Let's kill this silent
Speaker:cinema industry before it even gets off the ground because, you know, it needs to
Speaker:be safe for everyone. It's On police. Right? The you
Speaker:know, I mean, just just let us tell stories.
Speaker:Let us use this technology to tell stories. And, you know, listen, there's
Speaker:there is a danger. I'll give you a very real example
Speaker:that happened to us 3 weeks ago with music. So 3 weeks ago and
Speaker:I know, this is just a a podcast. You're not gonna see
Speaker:this. But so Well, they may. Oh, so this
Speaker:so we were we we had a a a small gig. It was a
Speaker:2 day consulting project with the the Yosemite Mountain Sugar Pine
Speaker:Railroad, which is 5 minutes outside of Yosemite National Park in
Speaker:in the Sierra Nevada Forest. Right? Mhmm. And it's a a logging
Speaker:train, and guests get to ride on it and go through the forest and come
Speaker:back in. It's a great train, great people. And they they they brought
Speaker:us in to say, hey. Would you look at look at our operation and just
Speaker:give us some advice and give us some tips? And it was
Speaker:like, you know, it was we had a great time. Right?
Speaker:And they they gave us this book, The Whistle Blow Knows More,
Speaker:as part of our research. Now if I would
Speaker:have just gone into AI, gone into ChachiPT or
Speaker:whatever Gemini and just said, hey, could you please summarize the book, Whistleblows
Speaker:No More by Hank Johnston? I would have
Speaker:learned about it, but I wouldn't have gotten the inspiration
Speaker:Right. That I needed to really tell a great story. You
Speaker:still have to, as a creator, and I think the same is true as
Speaker:a researcher, right, or as a data scientist, you still have to
Speaker:do the hard work and read between the lines. Because if you
Speaker:simply rely on AI to summarize something for you, you will lose
Speaker:the inspiration. Because in this book, You know, I
Speaker:started going through the pages and I'm going through it and I'm looking at it.
Speaker:And of course, I didn't have time in 2 days to read everything, but I
Speaker:was skimming through it. Right. And as I was skimming through the
Speaker:pages, I found a poem. Called The Whistle Blows No
Speaker:More. Right? And it's a a really
Speaker:powerful poem that talks about essentially the whistles
Speaker:stopping because the logging industry ended
Speaker:after clearcutting 35,000 acres, you know what I mean,
Speaker:around the around the Sierra Nevadas. They, you know,
Speaker:they the Great Depression was hitting. They saw the writing on the wall,
Speaker:and they, you know, they shut it down
Speaker:and completely liquidated everything and sold everything for
Speaker:scrap. Wow. Including the 54 mile
Speaker:log flume that went from the Sierra Nevadas down to Madera, California.
Speaker:This is just amazing, the things that happened. And now when you're there and
Speaker:you look at the mill pond, it's just so beautiful and pristine. It's kind of
Speaker:hard to believe that the whole thing was clear cut, and was
Speaker:just a major industrial operation in
Speaker:1931. And of course, I can't find the poem right now.
Speaker:But just in skimming through it, I found this wonderful poem. And
Speaker:so we took that poem. And we took it into A.
Speaker:I. And we created a song out of it. Oh, very cool.
Speaker:A folk song. Right. And then we played the folk
Speaker:song, for the owner of the railroad.
Speaker:She got a tear in her eye. Wow. You
Speaker:know? And, and this was even before
Speaker:version 4 of Suno came out, which was pretty amazing. Version 4
Speaker:came out a couple days ago. But but
Speaker:so, you know, when it comes to AI, and I believe this is true with
Speaker:any technology, you have to be very careful and
Speaker:guard yourself that you still have the discipline to do the research
Speaker:and to do the legwork and to do the hard work to get the
Speaker:inspiration you need to tell a powerful story.
Speaker:But then you can use that AI. You can use that technology. Because,
Speaker:honestly, it was a 2 day consulting project.
Speaker:I would have never had time, money, or resources
Speaker:Right. To compose a folk song based on this
Speaker:poem in that amount of time.
Speaker:Yeah. So the automation is you
Speaker:you you were just relying on the automation that has
Speaker:gotten I and I'd I'd say it's gotten mixed reviews. I
Speaker:think there are a number of people who look at stuff and kinda focus on
Speaker:the things that where AI misses.
Speaker:You know, and it does. It it misses the hallucinations and the
Speaker:things like that. Mhmm. And they kinda build their narrative,
Speaker:off of that. And we find that across all sorts of
Speaker:fields. I mean, I I see that in data warehousing,
Speaker:and and, you know, before AI even showed up. But it's
Speaker:it's amazing to to not just we get to
Speaker:see you, and we do have video, by the way, that we do post, that
Speaker:people can see you as well.
Speaker:But people don't need to see you to hear it in your in your
Speaker:voice, Jeff, your your passion for what you're talking
Speaker:about. And that passion is really, about telling
Speaker:the story and delighting your consulting
Speaker:clients, and you found a way to automate
Speaker:some of that using AI. And it's that's, like,
Speaker:excitement on the excitement of the normal passion that you
Speaker:bring to your job. And I think that's awesome. But I
Speaker:like that. I like I like I like the idea that where you're going with
Speaker:this is that, you know, the time no
Speaker:one I'm not a musical person, really, so I'm not gonna compose a
Speaker:song. But I can't. I'm not a musical person either. I have no idea how
Speaker:to compose a song. Use AI to adjust it and create songs
Speaker:based on things that I like as a listener. Right? So if you watch
Speaker:any of my live streams, the intro song that sings, you know, Frank's World on
Speaker:the stream and all that, that that kinda like that, you know, Europop or
Speaker:late nineties, early 2000 type of thing. That's AI.
Speaker:Right? I never would have had that. I just would have used some kind of
Speaker:stock thing or whatever or or or sound effects. So the ability to do
Speaker:that, the ability to to to kind of also tie it to a much larger
Speaker:story, I brought tears to that ladies eye. I think that's very,
Speaker:very powerful. I think I think when you get down to it, that these are
Speaker:gonna become storytelling tools that, you know,
Speaker:now we look at it as controversial. But in maybe 10 years,
Speaker:it'll just be just part of the toolkit. You know? Yeah. But but the
Speaker:other point that I think is just as important is if I wouldn't have actually
Speaker:thumbed through the real book. Yes. Yeah.
Speaker:And actually, you know, taking the time to look at
Speaker:it and to read it, I would have missed that poem. Because if I would
Speaker:have just said, hey, ChatJPT, can you summarize The Whistle Blows No
Speaker:More by Hank Johnson? It wouldn't have told me about the poem. No. I wouldn't
Speaker:have got it. And, you know, you know, again, it's not just
Speaker:about AI. One of my,
Speaker:I'm gonna probably nerd out on you guys a little bit, which is kind of
Speaker:ironic since you are both nerdy data scientists, but
Speaker:but I'm fascinated by the NASA report about the
Speaker:Columbia shuttle disaster. Mhmm. Because in that in
Speaker:that report, it says that the endemic use of and I'm
Speaker:I'm paraphrasing, but the endemic use of PowerPoint. No.
Speaker:Yeah. It's right. Led to the engineers
Speaker:not understanding the importance of what was being
Speaker:said. Because if you if you actually write a report, if you
Speaker:actually, as an engineer, write a report and
Speaker:make somebody read that report, you can't miss what's
Speaker:between the lines because you read all the lines. Right? It is there, and it
Speaker:would be stated very, very clearly. You know what I mean? You know, this is
Speaker:a danger. You know what I mean? And this needs to be
Speaker:addressed. Well, people put the engineers were were going straight to the PowerPoint,
Speaker:skipping the writing part. Mhmm. Right. And going and we've all been
Speaker:guilty of that. Right? Of, oh, I have a presentation due. And you just build
Speaker:the presentation at PowerPoint rather than doing the harder
Speaker:work of actually writing it yourself. And then once you have it
Speaker:written, translated into a PowerPoint. But the
Speaker:actual committee that studied that shuttle Columbia
Speaker:tragic loss that cost, I don't know, was it 7 lives or something.
Speaker:Right? They blamed, and I'm quoting, it was the
Speaker:endemic use of PowerPoint by the engineers. And we have to be careful.
Speaker:We have to watch ourselves as creatives that we
Speaker:don't lose our edge and lose our creativity
Speaker:through the endemic use of AI. We we have to make sure we still do
Speaker:the hard work. And again, I recently watched a
Speaker:talk about AI from actually one of my, we'll call it a spiritual leader,
Speaker:somebody in my church, and we don't you're gonna get the details of it, but,
Speaker:and they talked about, you know, yes, use
Speaker:AI, but don't let it act upon you. Make sure
Speaker:you're using it. Make sure it doesn't use you. Right?
Speaker:Right. Because Yeah. We can let it use
Speaker:us. We can let it, you know, because it's like, where does
Speaker:that inspiration come from? Right? I mean, if you believe in inspiration.
Speaker:I believe in inspiration. I do. And I
Speaker:believe that, you know, not to get spiritual on you guys, but I believe that
Speaker:God inspires us. I do. Yeah. And I believe we get inspiration. And I
Speaker:believe he cares about our work. Right? In the same way he cares about a
Speaker:farmer, you know, providing food for his family. I I think he cares about
Speaker:our work. And and so I believe in inspiration.
Speaker:I believe in that spark, that light that comes. Mhmm. Right? And
Speaker:and, you know, this this guy
Speaker:that gave this talk was amazing. He basically said at the end of it, he
Speaker:said, always remember, it is an algorithm. It does not
Speaker:like you. It does not care about you. It doesn't even know you
Speaker:exist. Right? Yeah. It's a tool. That's
Speaker:powerful. You know? And I personally hate
Speaker:hate hate hate hate hate all the branding around AI
Speaker:because it's all humanistic. I hate what Open Eye Eye is doing with, like, oh,
Speaker:hey. How's I tell that stupid chatty p t
Speaker:whatever I have the upgraded one or whatever all the time. Would you
Speaker:please stop asking me questions? Would you please shut up? Would you please
Speaker:stop referring like, I want it to be like Star Trek.
Speaker:Computer. You know what I mean? Tell me this, and then it shuts
Speaker:up. Right? Don't act like a human on
Speaker:I don't want you you are an algorithm. You are a tool. Right.
Speaker:Right? I don't wanna treat you like a human being. We already live in a
Speaker:society where people treat their pets like human beings, and they
Speaker:shouldn't. Right? Sorry. But I don't wanna offend anybody here. It's sort of
Speaker:controversial. But, you know My dogs won't hear it. I'm on headphones. Well,
Speaker:listen. I'm sure you love your dogs. Right? But hopefully not as much as
Speaker:your children. Right? No. It's Yeah. Right? You
Speaker:know? I mean, we have a sickness in our
Speaker:country, in our world where we we personify things that should not
Speaker:be personified, and AI should not be
Speaker:personified. It shouldn't. It's a tool. And so
Speaker:dangerous to personify these things. It is. What was the
Speaker:was it 2 years ago now? There was some guy who was saying that,
Speaker:he was he was fired from Google, but he was saying that he was
Speaker:dealing with a sentient. He said that he thought it was Ascension. It was
Speaker:alive, and it was like, not really.
Speaker:I mean, it was just It's an algorithm. It's Mac. Yeah. Well, if you asked
Speaker:it, like, why are you and even some of the transcripts of the conversations while
Speaker:they you could be led down the path thinking it was
Speaker:alive, it would say, I'm sad because I can't go to the pub with my
Speaker:friends or something like that. Like, it's a computer. It doesn't go to the pub
Speaker:with your friends. Right? Yeah. And for someone that would say to me, like, oh,
Speaker:well, you're using AI to generate emotions in a live experience, like a museum or
Speaker:a show. I'm like, I use theatrical lighting to create
Speaker:emotion. I use I use
Speaker:music to create emotion. I use all kinds of tricks and
Speaker:scenery that are fake to create emotion. There's nothing wrong with
Speaker:that. Yeah. Right? Yeah. It's a tool.
Speaker:To me, AI is a tool like animatronics and Pepper's
Speaker:ghost and theatrical lighting and music and everything
Speaker:else. It's a tool to basically create to tell to tell a great story.
Speaker:But it is important that that story is a human story
Speaker:and and a powerful story that's that's, you know, and there are good stories and
Speaker:bad stories, and they're great storytellers and lousy storytellers. So
Speaker:and it's not easy to tell a great story, but it's important
Speaker:Well, I always like to use the example of when you're using AI, it's kind
Speaker:of like, you know, the Aliens, the the second movie.
Speaker:Yeah. Arguably, the last good Aliens movie, but that's Oh,
Speaker:100% agree with you on that one. Alright. Good.
Speaker:And, you know, we're at the end where she has the,
Speaker:the exoskeleton. Right? Yeah. The exoskeleton was
Speaker:originally built to lift heavy things. Right? But, you know, it's kind of like,
Speaker:that's how I see AI. Right? Like, without a person in there,
Speaker:it's it's it's just a tool. Right? It's just this lump of metal
Speaker:in robotics. But, like, with a person in there, that person could do more,
Speaker:whether it's, you know,
Speaker:create a song out of a poem that never really existed or you know,
Speaker:but but there still has to be a person driving it. And without without
Speaker:a person driving it, it's it's it comes across as very
Speaker:mechanical. It does. And in fact, I think and again, I'm not
Speaker:you know, things are moving so fast with AI, but I I believe there was
Speaker:some research done in Japan about 6 to 12 months
Speaker:ago where they had, the AI write a
Speaker:haiku, and they had people write a haiku, and then they had
Speaker:people and AI collaborate to create a haiku. And it
Speaker:was the the writing that was generated by a
Speaker:combination of both that scored the highest among
Speaker:consumers.
Speaker:That doesn't surprise me at all. No. I was gonna say the same reaction.
Speaker:Yeah. The collaboration the collaborative, aspect of
Speaker:it is, I think, the strength. I think it's you know, when you
Speaker:use an LLM to draft an
Speaker:outline of some topic, and then you take it from
Speaker:there or vice versa. You draft an outline and you hand it to
Speaker:the LLM and say, you know, can you flesh this out?
Speaker:Fill in the blanks. And I I've done both. I've
Speaker:had, you know, 5 minutes I needed to respond to a
Speaker:consulting client, and I've written 4 sentences because I
Speaker:knew it needed to be longer than this, and it needed some finesse.
Speaker:I I'm an engineer, and it shows.
Speaker:So I've handed it to the LLM and said, hey. Make this, you know,
Speaker:nice. Make this sound way nicer and expand it.
Speaker:And a couple of times when I've done that, it's been so good.
Speaker:I just copied and pasted it and sent it to the client. Now at the
Speaker:same time, I've handed, you know, code, you know, in
Speaker:one language. It's to translate this to another language. And,
Speaker:it was my first exercise that I that I did that with it. I thought
Speaker:it worked because it didn't fail. And I learned
Speaker:a very important lesson from that that not failing is not the same
Speaker:as succeeding. Mhmm. The code compiled, and it
Speaker:executed, but it did not do what I wanted it to do. It looked like
Speaker:it did, but it didn't. So the creative aspect of it,
Speaker:though, I'm I'm fascinated to to hear you talk about, you know, how
Speaker:you can do that. And it the story you told specifically about,
Speaker:not having the resources or the time to, you know,
Speaker:to turn that that poem into a song, that's such an
Speaker:accelerator. And that's where I keep hearing the stories over and over again,
Speaker:whether it's in language, whether it's in art.
Speaker:It just keeps repeating itself that people are able,
Speaker:through percussive prompting, you know,
Speaker:you just keep beating on it until it gives you the answer that you want
Speaker:or need. But because it can do so much so fast,
Speaker:it can fail 3 or 4 times before it gives you
Speaker:the song or the paragraphs or or what have you
Speaker:because it it is an accelerator. So
Speaker:There's no doubt. And, you know, I I was having a
Speaker:healthy debate with the chair of the illustration department of the Savannah College
Speaker:of Art and Design, and 2 of our kids went to SCAD, and we
Speaker:live here in Savannah. You know, and and her initial reaction
Speaker:was, oh, AI is gonna take my job. And I said, no. I said, it'll
Speaker:take your job if you don't learn AI. Right.
Speaker:But, you know, our designers and illustrators, we're a family creative firm, so they're
Speaker:my daughters are illustrators and designers. They use they're
Speaker:using it today. We're designing our Christmas card. Nice. Now, the ultimate
Speaker:design of the Christmas card is definitely gonna have a human touch. It was written
Speaker:by my son and I, who's our creative writer. So we we wrote it. And
Speaker:we wrote it without the help of AI. We did. We just wrote it
Speaker:ourselves. And then, what we
Speaker:didn't do and probably should have is pumped it back into AI and said, hey.
Speaker:Would you analyze this as a Christmas card and offer any suggested edits? Right? Because
Speaker:that that is one benefit of AI is you can get an instant critic on
Speaker:your work. Yep. And, but, you know, we did a
Speaker:couple of you know, as as the writers in the firm, we did a couple
Speaker:of we did some creative direction and some mood boards of what we wanted the
Speaker:Christmas card to be like, but then we gave it to our designer and illustrator.
Speaker:And, you know, and then she ran with it. And, you know Jeez. And she
Speaker:did use AI as part of it, but, you know, she added her own little,
Speaker:you know, touch to it from an illustrator perspective. And, again,
Speaker:you know, I feel like a broken record here, but I keep emphasizing,
Speaker:you know, illustrators, you know, over the last, you
Speaker:know, probably 15 years, they've been doing
Speaker:something called a mash up, where they don't actually like, if they need to put
Speaker:a rock in an illustration and concept art, they don't actually draw
Speaker:the rock. They go to Google and say rock. You know what I
Speaker:mean? Images. They grab a rock they like, put it in, paint
Speaker:over it, fundamentally transform it from a copyright perspective. They
Speaker:fundamentally transform it, and then they're fine. Right? You know, I I loved
Speaker:a couple of things. That's one that you just said, and then I'll go back
Speaker:to something you mentioned earlier. I love that your family is working with you.
Speaker:That that's a huge blessing, and I know because my mine
Speaker:work with me. And you mentioned earlier about that. Nice, isn't
Speaker:it? It is. And then you mentioned earlier about the spiritual aspect of that.
Speaker:Both Frank and I are believers, so we we track. You know,
Speaker:we we get what you're saying, and that all kinda ties together.
Speaker:And my my children are older than Frank. So Frank's getting there. They've he's
Speaker:got a teenager, a couple of teenagers, I think. No. I have a
Speaker:preteen. Preteen? A teenager, preteen, and a toddler. And
Speaker:so mine are a toddler. Oh my goodness. I'm a glider. There you go.
Speaker:Yeah. And so I've got 2 children from my first marriage, and they are
Speaker:the moms of my grandkids. And then I've got 3 children from my second
Speaker:marriage, and they the youngest one is now 17. So I've kinda
Speaker:done the the family, almost the family 2 point o thing,
Speaker:but, it's super cool because there's they
Speaker:never say things like half brother, half sister, or anything. Like, they're
Speaker:all brother, sister. And they they mostly get along. They're
Speaker:different. I mean, gosh, they're 2 sets. You know,
Speaker:they in in between themselves, you know, same
Speaker:mom and dad, they they don't always get along either. But it's it's
Speaker:fascinating to to see what
Speaker:I'll say this about it. I think the spiritual, dimension that you bring to
Speaker:it brings a purpose beyond just
Speaker:something. I don't wanna, I don't wanna poo poo it, but I also wanna make
Speaker:the distinction. It's like if you're just in this for doing money,
Speaker:for making money, it's not the same as if you're in it
Speaker:for fulfilling some purpose beyond money. Do you wanna
Speaker:make money? Well, yeah, you kinda got to. But
Speaker:is it all about the money? No. And the
Speaker:best and I would say the people who make probably the most
Speaker:money in general, you know, 80 20 rule applies,
Speaker:are the people who are driven by passion, driven
Speaker:by some purpose that's beyond that. And I
Speaker:know that's true of me, and I know, you know, I know it's true of
Speaker:Frank. It sounds like there's that dimension, in your life and work as
Speaker:well. Yeah. Agreed. Yeah.
Speaker:Or I'm sorry. I should I should say amen. Yeah. There you go.
Speaker:Well, I I think that there's an interesting thing here because I think one of
Speaker:the things that I think has shocked a lot of people it's been
Speaker:about 2 years since chat gpt was released. Right? I think
Speaker:almost to the week almost to the day, but definitely to the week. Mhmm.
Speaker:And I think that there was a certain smugness
Speaker:in the creative class that prior to
Speaker:generative AI, that they would have been the last jobs on earth.
Speaker:Right? Like, the most ridiculous things you'll ever have heard Mhmm. Would never
Speaker:be replaced. And then suddenly, I think 2 years ago, you
Speaker:haven't had this big bag moment of, oh, wait a minute. You
Speaker:know? And I when I say creative class, I don't No. It's just artists. Oh,
Speaker:no. There are people that are very worried in the creative class for sure. Yeah.
Speaker:Yeah. And it's it's it's one of those things where,
Speaker:you know, the whole idea of, like, you know, the low skilled jobs will be
Speaker:automated away first. Right? That was that was the the the mantra of of
Speaker:kinda AI people up until about 2 years ago this week.
Speaker:But I think it really shook people
Speaker:to the core to what does it mean to be human. Right? Because no one's
Speaker:really figured that. No one really has a good solid
Speaker:mathematical foundation of what does it mean to be creative? What does it mean to
Speaker:be human? Right? I think. Right? This is just
Speaker:me. And one of the things that people could
Speaker:would always point to whether it was, you know,
Speaker:weaving machines in the 1800 or, you know,
Speaker:factory assembly lines in the 1900 and, you know,
Speaker:whatever we have going now in terms of automation, was the idea that,
Speaker:well, a machine can never be creative.
Speaker:And I think 2 years ago, I think we're still struggling to get our head
Speaker:around that. Right? And then when you start throwing in other things
Speaker:like, well, you know, the notion of sentience. Right? The notion of a
Speaker:consciousness and things like that, then it really gets muddled. And again
Speaker:like you said before with our prevalence
Speaker:to anthropomorphize things
Speaker:and certainly I think today's culture generally
Speaker:that's really muddied the waters
Speaker:in terms of what what does what does it mean to be human? What does
Speaker:it mean to be creative? And what does it mean? And I think you're you're
Speaker:seeing people kind of go into 2 camps or maybe more
Speaker:than 2. But the 2 obvious ones are extremes on the spectrum of I'm
Speaker:never touching AI. If you use AI, it's cheating
Speaker:versus there's people that use AI, but don't have
Speaker:any soul to it. Right? Like the example of you actually reading the book. Right?
Speaker:Yeah. I've have AI. I'm guilty of it. I have AI. I have no book
Speaker:l m. I'll give it a PDF. It summarizes like a 300 page book for
Speaker:me. I can listen while picking up the little one from daycare. I can listen
Speaker:to their summary of the book. I've done it just as an experiment. And there
Speaker:and there's as much value in that as reading cliff notes of of mice
Speaker:and men. And I I mean, here's the thing. I mean, this is
Speaker:you know, at the time, I didn't realize it was a sign that I actually
Speaker:had a career in writing and and and, you know, storytelling,
Speaker:but I would show up at my high school on the
Speaker:day morning of the paper was due that day, and I would
Speaker:sit and I'd interview my classmates about the book report
Speaker:that was due. And I'd quickly write up a 2 page report on yellow
Speaker:notepad because we didn't have typewriters and, you know, that stuff. And it's and I
Speaker:turned it in and get a, you know, a b, whatever. And I didn't
Speaker:care. It's a long story, but I didn't really have a parent that was
Speaker:caring about my grades, and so I didn't care about grades. And you know what
Speaker:I mean? So Mhmm. You know,
Speaker:I would just interview people. Did I get less out of that as a human
Speaker:being? Absolutely. You know what I mean? Yeah. Every cliff note I
Speaker:I I didn't read this is true story. I didn't read one book in high
Speaker:school. Oh, wow. Not one book.
Speaker:Am I a better person because of that? No. I
Speaker:probably should. I should have read books, but you know what I mean? But
Speaker:you know, and and that and that is the worry. But you know, going back
Speaker:to your point, I think there's another reason why the
Speaker:creative class are so worried. And it's because
Speaker:AI democratizes creativity. I believe
Speaker:that every single person is creative. You guys are engineers, but I think you're
Speaker:creative. I think every every child is
Speaker:creative in our public education system pounds it
Speaker:out of them. Our culture pounds creativity out of children. Right?
Speaker:They're right here. Yeah. Everybody is creative. Everyone.
Speaker:Right? And what AI allows
Speaker:us to do is to if you have an
Speaker:idea, you can then now use AI
Speaker:to bring that idea to life, and that
Speaker:scares people who have been the gatekeepers of that
Speaker:creativity it scares people who write
Speaker:music and produce produce music that I can create a folk song without
Speaker:them it scares it scares writers
Speaker:right That a CEO can write a book
Speaker:without their help. And and and I
Speaker:believe it should actually
Speaker:to me, AI will have in the long term this kind of
Speaker:sifting effect. And I'll give you one example
Speaker:because I've never been a fan of the
Speaker:brand consultants who make 1,000,000 of dollars coming up with brand
Speaker:purpose, mission, and vision Because I just think it's so
Speaker:obvious. Right? I I I like really you paid
Speaker:$1,000,000 for that? For somebody to come in and tell you what your purpose and
Speaker:your mission and vision is? You know what I mean? And then they're so
Speaker:long winded that it's very difficult for people to make
Speaker:decisions. I I am into simplicity when it comes to storytelling.
Speaker:Right? The best stories are just a few words long.
Speaker:Again, I had nothing to do with it. But at Animal Kingdom,
Speaker:the story there or the theme there is the intrinsic value of nature.
Speaker:Very simple. Mhmm. If that's the story, then
Speaker:and if you and if you stay true to that story, then all
Speaker:decisions become relatively easy. You know, and the guy that
Speaker:was the imagineer over at Joe Rodey talks about it. He's like, okay,
Speaker:you have a door in a zoo theme
Speaker:park about the intrinsic value of nature. Is that is the door steel
Speaker:or is it wood? Wood.
Speaker:Obviously. Right? You know? It allows you to make decisions if you
Speaker:keep it simple. I think when you when you, make
Speaker:things complicated with all this brand mission vision stuff, it's amazing. But but you
Speaker:can go into chat gpt now, and you could basically say, hey, could you give
Speaker:me the mission vision of the I mean, this, you know, this train, for example,
Speaker:did not have a brand position and and brand purpose and mission and
Speaker:vision. I just asked ChatGPT to do it for us, and it it nailed
Speaker:it. It nailed it. Wow. So
Speaker:if you are if you are a creative in a
Speaker:industry that is a bunch
Speaker:of already, and again, bias
Speaker:here. I think a lot of brand consulting is smoke and mirrors and
Speaker:just stupid and ridiculous, but they
Speaker:convince people to pay them a lot of money to do it. So if you're
Speaker:in an industry where, you know, it's a
Speaker:bunch of smoke and mirrors, well, you're exposed, and AI is gonna
Speaker:expose you. There's there's there's just ignore the man behind the
Speaker:curtain, so to speak moment. Exactly. Exactly. So
Speaker:listen, if you're not good, if you're not talented, I mean, you can
Speaker:certainly try to use AI to, you know, beef up your talents. But the bottom
Speaker:line is, it is gonna have a sifting effect.
Speaker:Because I think if one creative
Speaker:firm is only using AI to generate ideas and another firm is
Speaker:using their own inspiration and sparks with AI to enhance
Speaker:those inspirations, very human inspirations and sparks. I
Speaker:believe the latter agency is gonna win.
Speaker:Yeah. Just like the haikus. Just like the haikus.
Speaker:So, I think it will
Speaker:have you know, that kind of effect on the industry. And,
Speaker:again, it will also and this is totally true. We have no idea where it's
Speaker:gonna take us. We can guess. Yeah. I mean, one of my
Speaker:favorite story about technology not, you know, not really
Speaker:knowing where it's gonna take us is I worked on the Iron Bridge,
Speaker:Iron Bridge in the UK, Coalbrookdale. It's where the blast
Speaker:furnace was invented. Like the coke
Speaker:fired blast furnace, right? Was in Iron Bridge, UK.
Speaker:And Abraham Darby, and this was I think, oh I'm gonna get it
Speaker:wrong, like 1807 I think. Or maybe it was
Speaker:in 7th, so I can't. I'm getting to get the date
Speaker:wrong. But it was Abraham Darby and all he was trying to
Speaker:do was make a cheaper iron pot.
Speaker:That's it. He was simply trying to find a better way to make an iron
Speaker:pot. Yeah. That's it. That's all he was trying to
Speaker:do was make an iron pot. Invented the blast furnace,
Speaker:and then because of that blast furnace, they were able to
Speaker:make, steam engines because the iron. Right?
Speaker:You because you couldn't make a steam engine without, you know,
Speaker:without the ability to make it with iron. You know? So iron bridges, iron
Speaker:buildings, iron, you know, you know, iron steam
Speaker:engines, railroads, everything in the industrial
Speaker:revolution was born out of that blast furnace. And all the guy was trying to
Speaker:do was make a better pot. So, you know,
Speaker:we always we never know exactly where this technology is going to take
Speaker:us. That's true. I mean, we have prognosticators who think they
Speaker:know. And I Yeah. Think I know in certain areas where
Speaker:it's gonna take us. But at the bottom line, I don't know
Speaker:exactly where it's gonna take us because somebody, some human being is
Speaker:gonna come up with some really creative way to use AI that
Speaker:none of us have thought of. Well, let me go back to, like, the nineties.
Speaker:Right? Like, where, when the Internet was first kinda
Speaker:starting to become of its own, like, the the graphical browser was new. Who would
Speaker:have thought that would have replaced going to the mall? Who would have thought that
Speaker:you'd be able to, you know, interact with people on
Speaker:a device like this? Right? It just didn't
Speaker:seem possible. Right? And it just that had all
Speaker:these let alone you know, what's the joke about,
Speaker:I mentioned in the last episode where it was like, don't talk to strangers. Don't
Speaker:get it. Don't talk to strangers on the Internet, and don't get into
Speaker:strange people's cars. And what do you do when you call an Uber? You
Speaker:do exactly that. So true.
Speaker:So true. Yeah. Well, the potential is I I agree with you, Jeff. The
Speaker:potential is just limitless. And like you, I'm kind
Speaker:of kinda waiting to see what all comes of this.
Speaker:And we get to interview lots of guests,
Speaker:doing work, or some of them doing work on the literal cutting
Speaker:edge. We've actually had a few
Speaker:guests that were CEOs, of companies,
Speaker:and they said, you can't release this until we send you an email
Speaker:saying that you can't, because they were telling us basically Oh, yeah.
Speaker:Trade secrets. And so hearing that, that's,
Speaker:of course, that's that's cool and shiny from a podcast
Speaker:perspective. Don't get me wrong. We, you know, certainly love it when
Speaker:that happens. I I love hearing people talk about
Speaker:very pragmatic, very practical, very applied,
Speaker:things because and it you know, I wasn't always an engineer. I started
Speaker:as a farmer. And, you know, grew up on a a small
Speaker:farm, not too far from where I live now. I live in
Speaker:Farmville, Virginia. And, I mean, you mentioned Savannah.
Speaker:Beautiful, beautiful place there. Yeah. Very pretty there. I
Speaker:I lived in Jacksonville for a few years, and,
Speaker:we would often drive from from Jack's back up to Virginia where the rest
Speaker:of our family was. And we'd come through Savannah. We'd jump off
Speaker:and go through and see just just drive through. We didn't I
Speaker:mean, I think there was the is that where the fountain of youth is
Speaker:attraction in Savannah? That's Saint Augustine. Saint oh,
Speaker:okay. Saint Augustine. There's there's something like that there. I've I've
Speaker:There's a there's a fancy there's a nearly nice fountain in the middle of town,
Speaker:if memory serves. Maybe that's where we left. Forsyth, yeah.
Speaker:Forsyth Park has a beautiful fountain. Yeah. So we'd stop there. But just
Speaker:it was just relaxing to get off of this, you know,
Speaker:more efficient, if you wanna call it that, highway
Speaker:and and drive through this town very slow, you know, slow
Speaker:way down, quarter or third of the speed. And just
Speaker:it was just so peaceful just, you know, driving through there and and getting
Speaker:that, I don't know, a renewal of the soul almost because, you know,
Speaker:it's a long drive, from Jacksonville to Virginia.
Speaker:And I just the the application
Speaker:of the I guess it's
Speaker:instead of humanizing AI, and I'm kinda changing the subject here
Speaker:midway, but instead of humanizing or or, you know, doing
Speaker:the anthropomorphic thing, letting it
Speaker:enhance our work, letting it assist us in
Speaker:being creative, letting letting it help
Speaker:improve our life and work and efficiency
Speaker:and just the amount of work, you know, we're able to crank out
Speaker:on this. That's I think that's more of a thing. Is
Speaker:is it gonna cost people jobs? I I agree with you, although I hadn't heard
Speaker:it characterized that way before that if you're
Speaker:phoning it in, you're faking it and, you know, mail and then
Speaker:sending out invoices, then maybe, probably.
Speaker:As as it gets better. I mean, there's no doubt it will take I mean,
Speaker:but here's the thing. That's that's life. I mean, my first job was at
Speaker:the Salt Lake Tribune and Deseret News Newspaper Agency. It was a joint operating
Speaker:agreement company, the newspaper agency in Salt Lake City, Utah. That was my first
Speaker:job. And and I remember there were, you know
Speaker:and then I and then I went to the Hamilton Journal News. And at the
Speaker:Hamilton Journal News, they weren't advances, the Salt Lake Tribune and Deseret News. At the
Speaker:Hamilton Journal News, we still had a union shop
Speaker:where somebody who was a union, right, a union employee
Speaker:would paste up the newspaper on big pay stub boards,
Speaker:like the headlines, the pictures. You know, and I'd stand there
Speaker:with my and I still have it actually on the shelf, my pica and points
Speaker:wheel, you know, to to to crop pictures. And, you know, and I'd
Speaker:stand there with the union member, and I was not allowed to touch that pay
Speaker:stub board because I was not in the union. Right? If I tried to move
Speaker:Wow. If I tried to put my finger on that board and move it, you
Speaker:know, a point or a pika this way or just you know,
Speaker:I was yelled at. Right? I mean Wow. And then they would take that they
Speaker:take that big pay stub board, and they would take it into the next room,
Speaker:and they would photograph it. Right? And then they would, you know,
Speaker:after they photograph it, they'd add, you know, the the acetate to it,
Speaker:and they take it and and print the newspaper from it. Right? Wow. That was
Speaker:a very real thing. That was my my first career out of college
Speaker:was in journalism. And, those jobs are
Speaker:gone. Yeah. Never to come back. Never.
Speaker:You know? And
Speaker:that's okay. You know what I mean? Because some jobs come up. I mean, the
Speaker:Exactly. The college football the college football hall of fame job we did. Right? We
Speaker:had over a 100 people working on it, like, a 112 people working on it.
Speaker:Right? And we probably had at at one point, probably about
Speaker:15 people doing prompting. Right? Oh, wow.
Speaker:It it's work. It's a lot of work. And the creativity,
Speaker:you know, there's a lot of creativity that goes into prompting a
Speaker:lot. And I have to tell you. And there's a lot of failure. One thing
Speaker:that we've learned that was not even possible was
Speaker:AI is not ready to do face painting and body painting of fans in a
Speaker:college football. It's just not ready. We tried it. Oh,
Speaker:my gosh. We've spent so much time trying to get the prompts right
Speaker:to do body paint and face paint, and it just didn't
Speaker:work. It just didn't work. And then this was probably
Speaker:from a a nerdy perspective. What you guys might appreciate the most.
Speaker:How do you come up with the right colors for
Speaker:764 different college football teams when you can't use
Speaker:hex codes, can't use pms colors, you have to accurately describe
Speaker:in English the difference between Clemson's orange, the University of
Speaker:Tennessee's orange, Auburn's orange, Florida's orange, and the
Speaker:University of Texas is orange. And if you put burnt orange for
Speaker:Texas, you get somebody on you get
Speaker:someone charred coming at you get you get, like, on
Speaker:fire, like flame charred. Oh, man. Look at the little girl about the burnt If
Speaker:you put pumpkin orange for Clemson, you'll get a hallucination where the person's
Speaker:holding a pumpkin wearing a marching band uniform. Right. So
Speaker:how do you describe accurately in English 764
Speaker:different colors? That in and of itself was a
Speaker:huge challenge that human beings solved. The computers didn't solve that.
Speaker:Right? AI did not solve that. We had to solve that
Speaker:issue. Wow. So there's a lot of work. Do you end up
Speaker:do using hex codes? I'm curious. Oh, no. No. You can't use
Speaker:hex codes with AI. No. We we we had to come
Speaker:up with a solution using English to describe the colors that
Speaker:would match accurately. Doubt. What
Speaker:we ended up doing is we created a library of colors.
Speaker:And then and then we would say, okay, this orange
Speaker:works for these 3 teams. This orange works for this one
Speaker:team. This orange works for these 2 teams. This blue works
Speaker:for these 4 teams. This purple works for this. So we
Speaker:literally created a you know, so it's not
Speaker:perfect, but it's it's it's close enough
Speaker:that we you know, nobody's gonna be yelling at us for, like, you got my
Speaker:orange wrong. Right? But we we literally
Speaker:just we created essentially a color wheel in AI,
Speaker:and then we then matched. And there were a few
Speaker:outliers where it was like, oh, you know, there were some where it was
Speaker:like they had a custom color just for them. But most of the colors, we
Speaker:were able to apply it to, you know, as, you know, a certain number of
Speaker:teams. And so that that's that's essentially how
Speaker:we solve that problem. But then there were there were other problems as well. So
Speaker:I I have no idea. I I have no idea how to solve that problem,
Speaker:but I would my first thought was, send it an image, like,
Speaker:of a color palette and say, you know, a number, the
Speaker:the colors that you know, there's gotta be some subset of some of the hired
Speaker:you, Andy. Maybe you coulda helped us. I don't know. I I don't know. I
Speaker:don't know if that woulda worked or not, but I had the same issues when
Speaker:I've you know, it it seems like the AIs that I work with and I
Speaker:work with a handful, of LLMs, and I'm
Speaker:asking it to generate images. And I have the worst,
Speaker:the worst experiences ever with that. Frank, on the other
Speaker:hand, Frank is a naturally gifted graphic artist. He
Speaker:is an artist Thank you. Who went to school,
Speaker:to learn computer programming languages, and he's gotten
Speaker:into AI. And he's the he's the data science person in this
Speaker:team. I credit my parents with that because when
Speaker:they were, like, there were really only a handful of careers,
Speaker:doctor, lawyer, engineer, or, the
Speaker:military. Yeah. They wanted you to get a real job.
Speaker:That was how it was. Then there were only, like, 3 type 4 types of
Speaker:jobs, doctor, lawyer. And now you're like, look, mom and dad.
Speaker:I'm a podcast host. That's right. Right. Right. Well, when I switched to
Speaker:computer science, when I switched to computer science, that was a
Speaker:big that was a big thing. Because originally, I went to college to be a
Speaker:chemical engineer. And then I had to convince my parents that this
Speaker:was a legitimate engineering discipline with
Speaker:a monetary upside. And that was,
Speaker:you know, today, you you how could well, okay. Maybe with AI,
Speaker:but, like, maybe programming isn't necessarily have
Speaker:the the the bright future it once did. But, you know, it's hard to
Speaker:imagine, I think, kids today, like, well, how could how could computer
Speaker:science not be considered an engineering discipline? And,
Speaker:you know, the 1990 something, it was not
Speaker:immediately obvious. Yeah. Yeah. But it's you know,
Speaker:I I have the prompting. I I have just the
Speaker:worst luck, prompting for image type stuff. So
Speaker:I've come up with a couple of hacks to do it, but my number one
Speaker:hack is to email Frank. Email is your own. Message
Speaker:message Frank. I said, Frank, I need something that looks like this. I
Speaker:won't convey this image. And, you know, he's got Frank's Yeah. You
Speaker:know, his his free time is spiky. And so when he
Speaker:gets the next free time, he thinks of me. He'll he'll build something or send
Speaker:me a song. He's done all my intro videos and all of that stuff,
Speaker:and they're all awesome. But he has that natural gift already, and I don't. I
Speaker:still don't color in the lines. Yeah. You know? It's a so it's not my
Speaker:idea. There's a there's a gift to prompting. There is. There's a talent to it.
Speaker:And, you know, I tell every young person who's in college who
Speaker:asks me for advice, I'm saying, learn learn prompting. Yeah. That's
Speaker:that's the if you and, again, it's it's a combination of skills. I
Speaker:mean, you know, again, I've I've got Discord popping over here right now
Speaker:on Midjourney as I'm watching, you know, my kids working on our
Speaker:Christmas card. They're coming up with different ideas, and, you know, you know
Speaker:That is so cool. It is cool. I mean, you know, and they'll some
Speaker:ideas, actually. But I mean no. I mean and they'll end up
Speaker:painting, you know, painting over it, you know, and and customizing it to
Speaker:a certain degree. But that's, you know, that's,
Speaker:you know, that's it's just it's a
Speaker:natural evolution. I I you know, people who are like,
Speaker:oh, again, I get it. We have to
Speaker:guard ourselves. We cannot get lazy,
Speaker:right? We have to make sure that we still Don't be like
Speaker:me in high school. Read the books, Right? Don't don't just
Speaker:go with the the cliff notes. But there again, you
Speaker:know, there's always been ways to cheat. Always.
Speaker:Yeah. Yeah. And Shorten road. Technology makes it easier to cheat, but there's
Speaker:always been ways to cheat. Always. Sure. I mean, you
Speaker:know, so we just have to make sure that we
Speaker:don't cheat. We have to have the discipline to actually, you know,
Speaker:read, write, look for that spark of inspiration. And,
Speaker:again, at the end of the day, people ask me all the time, well,
Speaker:oh, what's the secret to your creativity? How come you're so creative? And I
Speaker:think there's a much longer conversation, but I
Speaker:think a lot of it is just about making connections. And it's about having stimulus
Speaker:coming in. It's a simple formula. You guys appreciate formulas.
Speaker:You're computer scientists and math people.
Speaker:In order to get something out, you have to put something in, right?
Speaker:In order to have an idea come out of your brain, you have to have
Speaker:stimulus come into your brain. So the more stimulus you put in,
Speaker:the better opportunity you have to have great ideas coming out. And if you
Speaker:want a creative company, you know, make sure you surround
Speaker:your employees with a lot of stimulus. And that includes things like food
Speaker:and great design and music
Speaker:and and encouraging trips. You know what I mean? A lot of our ideas
Speaker:come from simply what we call hashtag research, which
Speaker:is we go places. We see things. We do
Speaker:stuff Because we're in the experience business, and so
Speaker:we want to take part in experiences. We wanna
Speaker:go look at stuff. And so, you
Speaker:know, AI is yet one more point of stimulus that can
Speaker:come in. We just need to be careful that we don't let it,
Speaker:act upon us. We need to be the one that
Speaker:uses it and and commands it to to Yeah. To
Speaker:work for us rather than have it command us. I love that point.
Speaker:And it's a it's a great I think it's a great
Speaker:summary of of of a lot of the points that we've
Speaker:talked about on the episode. So, Jeff, if people wanna learn more
Speaker:about you personally and your business, where
Speaker:can they find out more about you and the business? Well, thanks,
Speaker:Andy and Frank. It's been great to be on and talking with you. I just
Speaker:love I mean, we could go on for hours and hours talking about this stuff.
Speaker:Well, it's very inspirational, which is Same. Yeah. It's
Speaker:it's exciting. It really is. I you know, it's it it is. 1 of 1
Speaker:of the yeah. 1 of the sorry. One last thing.
Speaker:I mean, just just like Okay. You know, like, one of
Speaker:the projects we're working right now is talking to a fire sprinkler. Right?
Speaker:You know, and, you know,
Speaker:but have the sprinkler talk to you about engineering from a fire
Speaker:sprinkler's perspective. But just something like that, you know,
Speaker:we it's just fun. I mean, do we all have that real time
Speaker:conversation with a Spire sprinkler? Are you kidding me? Or a lithium ion battery to
Speaker:talk about thermal runways. There's so many things you can do with it. Anyway, I
Speaker:digress. If you wanna get a hold of us, honestly, you know, just Google
Speaker:Creative Principles, creativeprinciples.com. LinkedIn's an easy way
Speaker:to find us. You know, Jeff Thatcher with a g. You know, Thatcher like Margaret,
Speaker:the prime minister. And if you're old enough, you know who she is. But, you
Speaker:know, but that that's the that's the best way to find
Speaker:us. Just find us online. And, yeah. It was
Speaker:great talking. I really appreciate the time. Oh, same. Excellent. Same
Speaker:here. And we'll let the nice British lady finish the show.
Speaker:And that's a wrap for this episode of Data Driven. A massive
Speaker:thank you to Jeff Thatcher for taking us on a journey through the world of
Speaker:immersive experiences and the role AI plays in creating
Speaker:unforgettable stories. From theme parks to football
Speaker:fields, Jeff reminded us how technology can spark creativity
Speaker:and amplify the human connection when used wisely. If you
Speaker:enjoyed today's episode, don't forget to subscribe, leave us a
Speaker:review, and share it with your network. And as always,
Speaker:stay curious, stay data driven and maybe keep an eye out for
Speaker:where you might show up in your own favourite story someday. Cheers
Speaker:everyone.