EP9: Synthesizing Creativity: Brooks Seahorn's Quantum Leap from Chemistry to AI's Musical Mastery

Ever pondered the path that leads a mind from the intricacies of organic chemistry to the zenith of cloud computing and AI innovation? Brooks Seahorn, our esteemed guest, takes us on just such a journey, revealing the serendipitous night that redirected his trajectory straight into the tech stratosphere. Our conversation illuminates the essence of passion-fueled transformation, as Brooks shares his ascent from fledgling curiosity to supercomputing prowess, all the while maintaining a flair for turning complex concepts into captivating exchanges. His story is a testament to the unexpected turns that lead to mastery and the delightful intersection of technology and pedagogy.

Strap in for a symphonic discussion where artificial intelligence meets the evocative world of music composition. Brooks and I explore the imminent future where AI serves as a digital muse, offering compositional suggestions with the subtlety of a maestro. We're not just talking about algorithms that mimic styles; we're envisioning AI that spawns streams of music tailored to any genre within the next year. The episode peeks into the secretive advancements in AI music systems and reflects on how this technology could echo the impact of legendary producer-artist collaborations, forever altering the tapestry of musical creation.

The finale of our melodious tour de tech grapples with the authenticity of music in the AI era and the challenges of emulating the human touch—something bands like Dirty Loops epitomize with their flawless technique. We probe the ability of AI to capture the nuances of humor, a domain where human delivery still reigns supreme. Brooks brings his profound insights on AI's current limitations and potential breakthroughs, setting the stage for future episodes where he'll dazzle us with live demonstrations. Join us for a harmonious blend of anecdotes and expert analysis, all wrapped up in the vibrant world of tech innovation.

About Brooks Seahorn: 
https://twitter.com/BrooksSeahorn
https://www.linkedin.com/in/brooksseahorn/

Chapters

• 0:05 Journey to Tech Innovation
• 11:23 Exploring AI's Role in Music Creation
• 20:05 Musical Authenticity and AI Challenges
• 31:24 Wisdom With Brooks E. Warren

Transcript

Speaker 1: 0:05

Welcome to Tech Travels hosted by the seasoned tech enthusiast and industry expert, steve Woodard. With over 25 years of experience and a track record of collaborating with the brightest minds in technology, steve is your seasoned guide through the ever-evolving world of innovation. Join us as we embark on an insightful journey, exploring the past, present and future of tech under Steve's expert guidance.

Speaker 2: 0:32

Welcome back, fellow travelers, to another exciting episode of Tech Travels. Today's expedition is truly thrilling. We have the privilege of charting these digital waters with Brooks Seahorn, a true luminary in the field of innovation. Now, brooks isn't merely just a technologist he's an alchemy of technology, if used with wit and fervor. With his profound knowledge of cloud computing, his unique approach to education is not just merely informative it is in totally engaging, transforming intricate technical concepts into riveting tales that really do stick with you. Now, with a diverse odyssey that spans over 25 years, including crucial time spent as an Air Force contractor and distinguished qualifications from AWS and Microsoft, brooks' story isn't just a chronicle of personal growth, but a map for navigating the tech space. So fasten your seatbelts, fellow tech travelers, as we embark on the enlightening quest through the digital terrain with none other than Brooks Seahorn. Brooks, welcome to the show.

Speaker 3: 1:30

Thanks, man. And you know, I don't know, you're old enough to remember, remember the commercial. I said never let them see you sweat. Well, after that intro, I'm sweating already, yikes.

Speaker 2: 1:41

So just again, just you know, just you know kind of tell us about your journey and how you really kind of got into technology and you know the whole thing that you're working on now around super computing and AI.

Speaker 3: 1:54

So take us on that journey. Well, it's a fun journey because it started way back in college when I got a degree my degree in organic chemistry, worked for one night as a chemist one night and then said I'm done, I'm never doing this again. And that's when I kind of floated back to this thing I discovered in college called technology. I got to help out a little bit using some pro programming and stuff like that, just fell in love with it and so it was a pretty big bet to make in one night to go I'm done, I'm walking away. But that's exactly what I did. And then from there it was just a point of learning all this technology, getting into the space, getting the tough jobs, learning how to do this stuff. You know everybody wants to talk about. You know, feeling that sense of I'm just a sort of a fraud. I don't know how I got the job. I did that for a long time, man, trying to figure out how to do this stuff. But in that space you learn so much about how things really get done, past the theory, the hard work, and just kept working through it until finally, you know, just one, two, one job after another, things that more complicated, more difficult, more experienced, until finally one day you look around and go, wow, I can really do this stuff. So that's how you end up doing things like this, when you make rash decisions in one night at 12 o'clock in Montgomery Alabama. So that's how I got to the space.

Speaker 3: 3:11

And then it was just a point of just falling in love with it. And I think that and you're the same, same same as I am, for some reason the technology we just fall in love with it, like we want to know why it's doing what it's doing. It's more complicated it gets. We want to know more, like you know, how exactly are things working on chip and L2 cash? How exactly is this thing working with memory and paging and all that stuff? And you just fall down to this thing and you just become more passionate about it and you love it. It's lifelong learning and I would say that and I know you, steve, you're the same way as on this one. It's just we got dumb luck. We found the thing that we love and we love doing it, and so we just keep doing it for some crazy reason. So that's how I got here. I just love the technology. There's no, there's no fancy. I got my PhD in 19, no, no, nothing like that.

Speaker 3: 3:58

Just falling in love with technology, continuing to play with it, and I would really say I think there is a really a big, big sort of sorority and fraternity of people out there. We all fit into this same spot. We just love the technology, we learn about it, we get these you know these opportunities to dive in incredible levels of depth and just put all that knowledge together.

Speaker 2: 4:20

You know it's incredible because when, in full transparency, Brooks and I know each other from working at Amazon Web Services, your passion for technology when I first came to AWS, when they paired us together and we went and did road shows right, it was by far probably one of the most incredible experiences I had of how you take your specific approach to technology and making it engaging, interactive and just truly just again, I use the word captivating, but seeing you work a room with other people, your love for the technology.

Speaker 2: 4:54

It also leads into your love for education and how you want to kind of inspire and learn and have other people follow into this whole learning trajectory. Right, tell me a little bit about this ability to captivate people when you're up there talking to people training education, tell me, like, what is it that gives you this amazing superpower?

Speaker 3: 5:17

You mean the ability to violate OSHA at a whim and get up on a desk and start ranting about stuff. Yeah, I'll be happy to talk about that.

Speaker 3: 5:25

No, I mean honestly, I've said it before and this is one of the things and I would encourage anyone out there listening to this podcast if you're into technology and you love running your mouth, marry those two things together because it's so much fun. And here's the other side about it. There's no reason why technology should be boring. It shouldn't be boring, it should be fun, it should be engaging. And we as speakers in the space, technologists in the space talking about these things, I think we kind of have a responsibility to make it a little more than just high, you know. You know I thought about Steve. I thought specifically about what was the SNL thing. Um, the delicious dish, like the whole podcast, should just be delicious dish. You know that kind of thing and people do this. But it's come, there's no reason to do it. It's exciting, it's fun. So pour your passion into it and what you'll find is is that, in fact, you'll enjoy it a lot more when you do speak about it.

Speaker 3: 6:20

And then for me personally, it's, you know, because I've got the decades of experience. I've seen what technology has gone from and to. Some of it bad, I will admit, some of it fantastic, though. And so when you see these changes continuing to go forward and you sort of embrace them and go with them. It it just wells up inside of you as a happiness and a joy that you want to share with everyone. And then I would say and this is something, steve, you saw this on display several times, I'm sure, with me Um, it's just this.

Speaker 3: 6:51

I feel like this responsibility that when I'm explaining something to somebody, I've really got to put a lot of heart behind it to engage them, to make them want to be part of the conversation, to want to learn more, because if you don't, it's just boring and nobody cares. Put a little bit of heart into it and again it's going to be a downhill effect. You're going to enjoy speaking about it more, they're going to be enjoying learning about it more, and it just goes round and round and round and uh, and that's everything from let's see what uh, climbing up on desks, uh, kicking over a chair I nearly broke my foot because I had a person in the audience go. Ec2s are ephemeral and I like freaked out at that simple mention of stuff like that, doing different voices, all those sorts of things. But it's always and this is the one thing I let me.

Speaker 3: 7:33

Let me just end this question on that. Everybody, if you want to do it, go do it. It's fantastic. Make sure you got your tech chops together, because nothing is worse than doing something silly and then being technically wrong at the same time.

Speaker 2: 7:45

That's a hard spot to be in. So, with that said, let's talk like a little. You mentioned heart, right, and I think that you know I think AI needs a little bit of some heart right now. So let's put a little bit of love into some AI right now. So again, more and more uh tools, more and more of this shift towards AI adoption. You know everyone wants to think about AI as a tool, not as a replacement. You know, share some thoughts on kind of your perspective on how this is now going to impact uh decision making, creativity and, most importantly, kind of how you start to see this across different industry sectors and how it probably are going to impact jobs.

Speaker 3: 8:20

You know, let me, let me answer. Let me actually start with start with the end, because I think the end's a very important point, because I've heard a lot of people say how it's going to impact jobs. Am I going to lose my job, etc. Etc. I would say, in the short term, you're there's no threat to you, in most cases, losing your job to AI. What you're going to do, though, is possibly lose it to somebody who knows how to use AI, and that's the problem for anyone who's not using it.

Speaker 3: 8:44

Um, there's been so many cases when you can just switch over to something like a chat, jim and I whatever system you want to talk about quickly get an answer to a question, or get a more sort of lucid way of explaining something like hey, chat, can you make this sound a little more reasonable, and then it can create something for you. I think it's a great tool in that space, but that goes back to the very beginning of what you said, the heart of it. What did you tell the system to generate for you, and did you put something truly unique in there? Or did you just say hey, I need a great article for LinkedIn telling me about AI and how it can help me find a job. Copy paste, no, no, you did nothing. You did nothing. Stop doing that. Here's a better idea. Start with that and then start sort of adding your own style to it, your own words, putting things that aren't expected in there, because that's the thing that AI really can't do yet. It really can't. Don't get me wrong. It can be kind of creative and it can kind of push you in some unique directions, and I like that about it. But that's how you should use it as a tool, not as a foundation upon which you are building things. I think that's where I don't think we're there yet.

Speaker 3: 9:55

So, sort of, in short, talking about the whole thing use it as a tool. Use it as a tool in your job. My goodness, I, steve, my wife and I have been talking about getting a brand new mattress. Yes, I used AI to help me start making this decision. I know it sounds stupid, but you can say to it hey, what would you recommend based on the information that you have? It might give you a direction that you never thought of or a brand you didn't think of. So that's why I say to people right now AI it's a tool, use it as a tool, but then you need to become part of that loop. When you get the answer it's not a copy paste, it's a copy out to something else.

Speaker 3: 10:33

Touch it up, put your own style, your own unusual, you know sort of personality into it, then maybe that's what you needed to. So, right now, use it as a tool. Use it as a replacement, not as a replacement, use it as a tool. I mean like. One of the things I've been really interested in is particularly the music AI space, since I'm a musician, feeding in some music to it and saying, hey, give me something unusual, you know, at this particular point in the song and then let it put something in weird and then nine times out of 10 is garbage, get rid of it. Every once in a while it'll do something and I'll be like that's interesting, I didn't think of that and it's not my style. It sounds great, but it's not my style. But I'll go ahead and embrace it anyway. That's where the power of the two it comes in as a tool, not as a foundation.

Speaker 2: 11:22

Use it as a tool? You mentioned you mentioned this, and this is something I haven't explored yet, so I hope that we can double click on this is, you know, the ability to have it work as somewhat of a somewhat as a kind of a co-pilot when you're basically using something like music? And I've not had a chance to touch on this. I've talked about technology, but the music aspect, I'm very interested to hear more about it. So, as a musician, what are you, what are you kind of putting into AI? Well, what are you expecting from it? And then, what are you getting back when you say interesting?

Speaker 3: 11:52

Well, there's two systems I'm working with I can't name either. I'm sorry, I'm under NDA right now, so, sorry, can't name them, but they I will say this they will be releasing in the third quarter of this year. They will be releasing, I have been told, and here's what you can do with them. And this is this is the cool part, steve you can feed in MP3. You can feed in actual music, notation music, to the system. Let it look at it and then you start prompting it from an AI tool point of view, saying look what would you say? You know like, suggest a different. You know like a different, like when we get to this fourth measure right here, I want to do something unusual with the baseline and it'll like come up with something scale wise. It makes sense. In fact, I've even seen a case where one of the systems even made suggestion of a note that wasn't on scale, which I don't know if anybody's ever out there has ever heard. But it's kind of like you listen to somebody sing, then it's like you kind of hear that half step down. It suggested the half step down and I was like that is so smart, because the best musicians pull crap like that. They will take that one note. That doesn't quite make sense. Then they'll pull it back up. It's called a pressure release, and so these things are being built into these systems.

Speaker 3: 13:07

The thing about it, though, I think, steve, is this it comes back to still being a tool. You've got to write a song that kind of has got a nice hook, it's got a nice feel to it, it's got a nice beat. Whatever the case is, let AI look at it and say, hey, I got an idea. You might want to try this, and again, nine times out of ten you're like garbage, and so you just get rid of it. But every once in a while, it may make a suggestion that you really like, and suddenly you want to add that to the bass line, to the guitar, to the drums, whatever the case may be, and so I think in that space, it's going to come along quite a bit. Now I will say this neither one of these are Amazon products, because I've had people who've asked me. We've tried to figure out is it the Amazon thing? It's like nope, no, it's not that keyboard thing.

Speaker 1: 13:45

It is not Deep composer.

Speaker 3: 13:47

Yes, it's not deep composer. It is not deep composer, it's literally this one company. What they do is they've just been feeding music into it, feeding music into it and feeding music into it, letting the model build itself, running really large AI jobs on it so we can start to learn about style. And that's the other part about it too. Is that I think is really fascinating is watching AI learn about style, understanding blues, delta blues, southwestern blues, even what we call it. We call it Portlandia blues. You know, it's kind of like that 90s sort of grunge, but there's a bit of a bluesiness to it, like somebody found a Coke bottle and started sliding it up and down the guitar, that sort of thing. It's learning about these things, so you can be very specific in it, and I think and I'm going to make a prediction on your show okay, I'm going to go ahead and make a prediction At least, no more than a year from now, we should be able to. Can you hear the background noise?

Speaker 2: 14:41

Oh yeah.

Speaker 3: 14:42

Okay, sorry about that. That's my dog, sam. He's very excited about AI music, so you heard me talking about it. There will be. There will come a point, I think, honestly, where we can get, I guess, what I would call, more than anything else, streams of style when it comes to music.

Speaker 2: 14:59

That's incredible. I mean, I want to know more about the. I think if you were to start feeding in tons and tons and tons of music across different genres, there is definitely no lack of music that I could probably absorb, right, Just like a natural language model is going out basically providing an index of all the text written and it's looking and evaluating different forms of language and patterns. But music is interesting because you almost think of it like it's your sound engineer, it's your producer, Like the people who would kind of be kind of in that space, right, when they would hear an artist and they would say, well, why don't you try to tweak it like this or make it sound like this? And then the artist would say, okay, that sounds great, Okay, now play it again, right, quick here, and then play it again with this. And the next thing, you know you've got, you know like again, you hear all the stories around how certain artists like Van Halen or Pink Floyd or you name any, one of your greats.

Speaker 2: 15:56

Deff Leppard how they were able to change the style. You know, rick Rubin with Red Hot Chili Peppers was a great example of well, what do you got over there? Well, I've got this notebook, I've got some poems written down. Well, why don't you put a couple of those into a lyric and then see if you can actually put a baseline to that? And the next thing you know, you've got a couple of hits and they were like well, we didn't even know about it.

Speaker 2: 16:17

So it sounds like AI is almost kind of becoming that companion where it's starting to kind of at least start to work as a way to help you kind of work on some sort of production, give you some input, suggestions for new styles, and give you something to also, as a creator, to think about. Creating.

Speaker 3: 16:34

It's the idea of that sound engineer in a box is what it comes down to. Can we, instead of paying, for a studio because, like right now, studio time runs about. I think for a 12-hour session right now you're gonna pay about $1,000.

Speaker 3: 16:47

So you know with an engineer studio I don't know if that even includes mixing anymore, so about $1,000,. Could you put that into a box? Could you sit there and actually record it, push it to the box, the box put everything together for you, just like an engineer would. Now I think once again we're in that space we started about in the beginning of AI as a tool. It could be a great tool initially for a sound engineer. Is it gonna replace a sound engineer? And not yet.

Speaker 3: 17:10

There's no way to put Rick Rubin in a box. It isn't gonna happen. There's no way to put, you know, verdeen, white of Earth, wind and Fire in a box. It just isn't gonna happen. Or, like I think about, you know, like Jack Strafford of Wolfpeck, anybody like that, the folks from Dirty Loops, good gravy, it's not gonna happen. But I think what you said is exactly right. It's that idea of having a copilot sitting next to you that you can kind of go over and say, hey, what'd you think about that? And I think that's fun, because to me that becomes the heart of an AI system where you kind of go hey, chewy, what do you want to listen to? You're oh, and he sits, he puts it over on Western. You know it's like well, I didn't think of that, but great idea. Thanks, buddy, as you fly along through space.

Speaker 2: 17:50

Yeah, it's incredible, I think, about all the different artists that kind of cross genres. Right, they're mixing. I think a friend of mine introduced me to something that was almost kind of like a Western crossover with rap and it was almost like so I thought it was very interesting and I think probably that there will be new genres right Of music that tend to probably will come out and will evolve from some sort of kind of like AI kind of AI music entity there. It can, it can kind of help you build upon that.

Speaker 3: 18:18

I mean, I think you could be a one man band at that point right, Absolutely, I mean, if you can play all the instruments fairly well and you know what you're doing, yeah, you can absolutely do that. I mean, and the thing is is that I think in that space and this is where I get excited about it it would allow that person to be. And what I mean by that is this you've got somebody out there who's an incredible musician. They can do incredible work. However, they don't have the money, they don't have the friends, they don't have the other friends who give a care. They're this one person on an island.

Speaker 3: 18:48

As I used to say to people, it was me in technology back in the early 90s here in Central Alabama. I was on an island, y'all. I really it felt like I was on island, just reaching out. Is there anybody out there doing technology? So for that person to have the AI system come alongside and say you know? Or for them to say, hey, I've written this really neat guitar bit, what do you think? And it goes hey, I can add a baseline to that, or I can give you a backing drum track that I think would work with that. And then you say to it let's make it a little more bluesier, a little more up here, let's make it dance, whatever the case is, and then put all that stuff together. That's where I think AI is going to get really, really fun.

Speaker 2: 19:26

Interesting. I mentioned the idea to a previous guest around digital authenticity and, as a creator, as you're basically creating, is that you're creating something that's very unique and specific to your own creative talents. How do you think about AI in this space around digital authenticity being able to say, no, I actually I was able to create this. I'm able to then some sort of create some sort of cryptographic key or an NFT. What's your ideas around digital authenticity in this space with regards to creators, musicians?

Speaker 3: 20:01

I think it's going to be incredibly difficult to figure this one out. Let me explain why. I am what they call a muddy player. Okay, like when I play bass, when I play acoustic, I'm very muddy. I don't. I don't have clean technique, I prefer muddy technique. It's more, it's very much more of a Delta bluesy. You can really hear the strings chiming on the frets and stuff like that. I like that. For me, that makes it easier in the space because, with AI, accidentally put garbage in it could, I guess you could kind of trick it into it.

Speaker 3: 20:30

If you think about bands like disclosure, if you listen to very carefully to songs like Latch, you can hear pop and hiss in the background being injected by the engineer to give it a record sound, so you can inject noise and stuff like that, but you can tell when it's been injected and when somebody's just classically doing it. The problem I have, though, steve, is when you move into bands like and there's a fantastic band out there called Dirty Loops. Most people have never heard of them. They are probably one of the best bands in the world right now Technically the best bass player, singer, drummer in the world. They play almost perfectly. Their drummer, I think has an atomic clock in his head. He's so perfectly.

Speaker 3: 21:10

Now, how do you inject artifacts into that? Well, they would never inject artifacts. They're super clean players, which means I think AI would have an easier time doing that, because it wouldn't have to come up with the unusual. It could get that sort of thing.

Speaker 3: 21:23

So when you want to inject that authenticity, the only way I see it happening is going to have to be in the form of some sort of metadata, which, again, because it's ones and zeros on a wire, I can fake that too. I can add that in and go no, look, there's that digital signature. This was truly. You know, steven the Woodards, I'm going to be your bass player and Steven the Woodards, so we've recorded a song, we've put our key in there, and then, finally, I mean, there are authenticity mechanisms out there that are possible to use.

Speaker 3: 21:57

They're actually quite old, simply doing things like MP5 hash sums saying, look, this was truly me playing this. You can't recreate it, I can't recreate it. It's a unique piece in and of itself, but as far as being able to say because I've had this problem myself, I played music before played it back and somebody said that's you and I'm like yeah, that's me Like no, I'm like yeah, and so then you get into that whole space. You can't prove it unless you pull down the instruments and start playing it. So, hey, maybe this is the resurgence of a stadium concerts. I think it could be.

Speaker 2: 22:28

Yeah Well, I mean absolutely, I think. I think I'm all for it, right, is that you've got? You've got the resurgence of concerts coming back again? You know it's interesting to talk about music. I'd love to kind of like to use the term. Let me riff on this for a second right.

Speaker 2: 22:43

Go ahead Laughter, humor and comedy, you know, are you know okay? So I've been finding that it's been very AI has been pretty mediocre when it comes to kind of these spaces here. Oh yeah, I don't think comedians, and especially with comedians and things like that, being able to feel like they're ever going to get out of outspite AI, like AI is going to tell me a joke better than yeah, I just don't think you know the thing is with comedy.

Speaker 3: 23:12

it doesn't make sense. There was a, there was a great bit, and I think I forget where.

Speaker 3: 23:17

it was Jerry Seinfeld who said it but, he was going to go teach a class on comedy and basically started out saying you're not funny. If you're in this class to learn how to be, you're not funny. Like I can't explain to you how funny works. I remember this comedian named Klaus Meyers he was. He was on King of Queens and a few other shows.

Speaker 3: 23:38

He's a German comedian and he started his bit with this joke about and he had this really thick German accent and he would say something like you know one of the greatest problems in my career. And keep in mind, you're hearing this and just you know this is German sort of. You know I can't do a German accent, but he's saying it with this German accent. And he says people have wondered can somebody who's from Germany be funny? And then he kind of paused and he goes well, let me assure you, and the place would just come apart, laughing at this absolutely insidious voice saying this how is that funny?

Speaker 3: 24:11

How can I teach AI that that's funny? I don't think you can. At least I don't know yet if you can and I don't know if AI in the modeling can figure it out. So I think in that space that's going to be a tough one. I think we can have a lot of really bad AI comedians coming out who just don't know what they're doing and they're going to bomb and they're going to get booed off stage because the quiescence of a lot of things that we do as human beings that I don't think AI has got yet, springs from the strange place where things just don't make sense. Like like, one of the things I've always told people is, when it comes to listening to online music, they want to make suggestions turn it off, turn it off or they will take you down an avenue where you will never hear a different song. You will never hear things like like there is a there's a.

Speaker 3: 25:03

I can't remember the name of the man. It was called. Gunpowder chant was the name of the song. Everybody look it up.

Speaker 3: 25:07

Gunpowder chant starts off with a didgeridoo that goes into an acoustic guitar, that goes into some sort of strange music that doesn't make sense. I never would have found it listening to regular AI generated suggestions. So I think at the core, we're not there yet and I don't know if we have the technology to do it yet where AI can truly do the unexpected and strange and start to understand. And the thing is is it may never happen. It may be impossible for AI to figure out or act like a human good on us. That means we just have another fun partner in the world that we can all work with, and that's how I prefer to think of it.

Speaker 3: 25:44

Not as it's not going to be Terminator Y'all that's. It's smarter than that. It would never come to the front door and ask for Sarah Connor. Okay, it's just going to make a stupid suggestion. You're going to go, okay and go right along with it. So in that space, I don't think we're going to get there, because that quiescence of what it makes to be a human being, that strange creative thing, is. It's not there.

Speaker 2: 26:05

It's just not there. So there's no, there's no, there's no Skynet moment yet.

Speaker 3: 26:09

No, there's no Skynet. Skynet's never going to be funny. You know the wamper going all the way back to war games, Wamper will never be funny. Wamper will never make great music, Everybody don't worry about it.

Speaker 2: 26:20

That's funny. You mentioned war games. It's a good movie with Matthew Broderick right.

Speaker 3: 26:24

Oh yeah, the wamper.

Speaker 2: 26:25

Yeah, because he was basically a kid. He was a kid who was essentially just tapping into some sort of DARPA project where they were simulating some sort of war game stuff, right yeah exactly.

Speaker 3: 26:37

And now that I've been in that space I find it even funnier, because now I'm like how did the kid get a dial up into the zipper? I mean, you can't do that. What is this nonsense? But yeah, that was the whole thing. And for everybody who doesn't know what we're talking about, this is back in the cool day where you take literally the old phone that you would hold up your head, you put it in the suction cups so it'd get the good connection, and then you had this really awful connection over to this thing they called wamper, which was their super intelligence at that time, which was whatever.

Speaker 3: 27:08

But I think that that, to me, is interesting because if you go back and you now look at that, that system had what we think we have now, that idea of this thinking thing that can think things through and go. You know, there's no point to nuclear war. There are no winners. Would you like to play a nice game of chess? I think it's how the movie actually ends.

Speaker 3: 27:26

If I remember correctly, it runs through every simulation and then, through its own creativity, goes you can't win this. I can't figure this out. I'm walking away, let's go play a game. So, going all the way back to your joke thing, that thing that we keep thinking these machines are gonna have. I don't think we're there yet and, to be honest with you, I think it's gonna take a technology shift Away from what we're currently using now. What that is, I don't know. It could be moving away from digital to analog type chips, so you get that differentiation. In fact, there's a great startup in Austin, texas, working on that exact thing, using Analog chips for machine learning to get that sort of that unusual sort of responses versus digital, which is very, of course, 1-0.

Speaker 2: 28:12

And no, maybe that's where we start getting funny AI bots mixing it with old analog chips or sort of mix of old school and new school technology.

Speaker 3: 28:22

Yeah, let me hook up my old Fender amp and run it into my computer via USB for some little bit of machine learning.

Speaker 2: 28:29

Well, I mean, maybe we can, maybe you can also plug in my old Commodore 64 boy Mm-hmm, and then maybe I got a bit 20 see, and we can, yeah. So you got a Fender amp, you got a Commodore 64 and microphone and a bass guitar.

Speaker 3: 28:43

And then suddenly from that you actually get Skynet. But Skynet at that point becomes that thing because of the unusualness of what you Injected into the system, because now it's not one and zero, it's kind of and maybe that's where quantum can help us you start to get that unusual, you start to get the personality, you start to get the unusualness actual comedy, real music, a real sort of partner in work. Now that's when we could lose our jobs, but I don't know what we're gonna do if we lose our jobs. So I can't go beyond that. Beyond that's a wall. I'm sorry, at that point I am now Paula tradies in the desert and I can't see beyond the Nexus. Wow.

Speaker 2: 29:21

That is incredible.

Speaker 3: 29:22

Just dropped a dune reference right in the middle of punch.

Speaker 2: 29:24

Well, the second movie is gonna be coming up pretty soon, so maybe we'll see what's out.

Speaker 3: 29:27

This is how. This is how much.

Speaker 2: 29:29

I've been living in the basement lately as the fact that there's a huge movie they just came out. I have absolutely no awareness that it actually dropped and it's in theaters now. It's in theaters now.

Speaker 3: 29:38

It's in theaters now. It's absolutely in theaters now. And, by the way, a little trivia for everybody out there notice there's no computers in dune. If you don't know the backstory, it's AI. Ai comes along, causes a disaster. There is literally a cultural revolution Against AI and now there's no more what they call thinking computers. So it's that old story, that old old story of the machines are gonna get us.

Speaker 2: 30:05

They're coming for you? No, they're not.

Speaker 3: 30:09

I just need to go outside and mow the lawn.

Speaker 2: 30:11

There we go, man the Brooks. This has been an amazing conversation. I have enjoyed being able to riff with you, especially on the music idea. I didn't think we'd go down this path, but you know what this is glad we did this has been awesome.

Speaker 3: 30:24

I'm glad we did because and I would encourage anybody out there, if you're in the music, if you just like music there are systems out there again, I can't name the two that I'm using that I'm getting to copot I wish I could because they are fantastic. Look third for third-quarter announcements from some companies out there in this space Um, and try these tools and just play with them. You may find and this is something that's that somebody, one of the testers said, saying it's not that I think my music is great to the world, but I really like. I really like listening to it because it's my music and there is a something about AI and Creativity coming along beside you to create your own thing.

Speaker 3: 31:02

It may not be what the world wants to see, but you'll love seeing it. No, love hearing it. So get involved in these sorts of things, folks. And again and Steve's been really smart about pointing this out to y'all in the other podcast, so hope y'all are listening to all of them is this idea of this is a tool. This is something you should be learning. Go out there and learn to use it, embrace it. It's more fun than you think.

Speaker 2: 31:24

Words of wisdom from from the amazing Brooks E. Warren Brooks, it has been an absolute delight to have you on the podcast today. Thanks so much for taking the time and joy to having you on the show and definitely want to have you back again to talk more about your Progression of music and AI and how it's been and how it's been for you and what you're learning along the way Interesting and we'll do some demos next time we will come on the show and give us a, give us a little bit of a sample.

Speaker 2: 31:48

We will do demos. Dude Brooks where can we, where can we follow you? Where can we find you?

Speaker 3: 31:53

I am on LinkedIn, I am on X and those are the main two places I'm posting. Anything up right now is I begin my new travels into super computers and some of the biggest companies in the world trying to solve the biggest problems out there. So check them out.

Speaker 2: 32:07

Ladies and gentlemen, the amazing Brooks, e Warren Brooks, thanks so much.

Speaker 1: 32:11

Thanks.