00;00;04;20 - 00;00;31;26
Unknown
Welcome. Well, welcome to another episode of Energy Bytes. I'm Bobby Nealon. Actually, it's an electrifying episode here. Yeah, guys got to have a superlative in there. I'm Bobby Nealon. It got my trusty co-host, John Khalfan, who's I think much more excited about Arkansas basketball than football. Oh, yeah. This is a basketball hat for sure. Yeah. And we are really excited to have Ryan Yang, co-founder and CEO at Grid Pilot, with us.
00;00;31;26 - 00;00;55;07
Unknown
And welcome, Ryan. Thanks for. Thanks for joining us. Thank you for having me. Bobby and John. Yeah, absolutely. And then we were talking before this and thought it might be a good segue or lead in, but, last night was the was the election and the one of the craziest the blue wave and socially, I mean, Texas. What I mean, I think it was an Richards was governor when I moved here in the early 90s.
00;00;55;08 - 00;00;59;02
Unknown
And they haven't had a woman or a.
00;00;59;04 - 00;01;23;08
Unknown
Democrat since. And then obviously with James Hillary. And I think one of the things that, you know, ends up being more pertinent to our conversation here, but I was kind of looking on Twitter to see what the reaction was, and everyone was just saying how data centers are dead in Texas now. And, just, you know, I don't know what you guys have heard or, or think on that, but, I mean, it sounds like that there at least will be attempts to make it more restrictive, and then it's going to obviously impact the grid.
00;01;23;08 - 00;01;53;21
Unknown
And I saw someone even post last night, it might have been one of the EFT guys, but just basically that, some of these large ranches in Texas now with power behind, you know, off the grid power, behind the meter, have a huge opportunity potentially, as well. So, it'll be interesting a few years. Yeah. I mean, even the railroad commissioner swung, like, if you want to think about the the flip in, at least in Texas.
00;01;53;24 - 00;02;19;14
Unknown
Yeah. I think it's one of those things, in all honesty, especially with how quickly these things have have spun up, there needs to be a little bit of at least policy put in place around at least maybe not necessarily something as big as a data center, but around the energy projects that have been kind of front running regulation, like best systems and things like that.
00;02;19;17 - 00;02;45;05
Unknown
And so it's going to be fascinating to see, you know, I think it's funny that the oil and gas industry generally tends to to lean more conservative when if you look at just history, the prices are always higher when Democrats are in office. So I don't know why so many, get so concerned about it, but, what are what are you using, Ryan?
00;02;45;05 - 00;03;04;10
Unknown
I mean, you're on the front lines of of the of all of this stuff on the, on the grid side. So what are you saying from a regulatory perspective? You think it's going to get tighter before before things slow down? Or do you think it's still off to the races? Yeah. Thank you. Thank you for asking. Actually this morning.
00;03;04;11 - 00;03;28;18
Unknown
Right, right before I, I mean, right after I woke up, I got a lot of messages like, hey, Ryan, do you want to comment on this? What do you think? Do you want to just come talk about this great connection thing? I. And then I just read all all these news. I would say definitely for the data centers, it's going to be somehow restricted in certain ways right now.
00;03;28;20 - 00;03;56;15
Unknown
I think a a couple months ago, a Texas Ercot, actually, they filed like 200 gigawatt of data centers. That is just a insane like I don't even know that, like double what our current demand is or something. I think it's I think our current consumption is somewhere around the 1 to 200 range. And so yeah, it's insane when they're like, yeah, we're just going to double that in five years or whatever it is.
00;03;56;15 - 00;04;24;15
Unknown
Seven years, I don't know. Yeah. Like 200 gigawatt. I don't even know what that means. Like it's just going to be like data centers around each neighborhood, so. Right. Yeah. If that's gonna realize. So I think, there's should be some even if nothing happened last night, it's going to be some policies and regulations coming up because, you can't just put a lot of, like 200, 300,000GW.
00;04;24;18 - 00;04;48;27
Unknown
It's just nonsense. But I think, again, it's it's actually, I think good for the industry wide, you know, more regulations, meaning people are taking it more serious. And when they file their data centers, they have to think about the generations, think about they have to put some deposits, they have to do some studies. So it has to be serious.
00;04;48;28 - 00;05;09;14
Unknown
You can't just file like a couple of gigawatts and just use some options like then option to lease or just some like a few thousand of deposit and just assume you're going to build a couple of data centers. I think it's, it's it's going to come. Yeah, yeah. No, I agree with you. It was kind of like the Wild West there for a little bit.
00;05;09;16 - 00;05;31;12
Unknown
How at least how I imagined it was back in the day. And you know, where it's just like, yeah, everyone sees this opportunity. So there's all these people who have no idea and no business doing these things out there, trying to, you know, make a quick buck. And they don't necessarily care one way or the other on the about the long term health or prospect.
00;05;31;15 - 00;05;49;04
Unknown
And so that's a I think that's a big part of it. It just personally is like, if we need these things, we need these things. And if they can make money, that's great. But it's only going to take one of them, you know, burning down or having some kind of, you know, catastrophic event for the country to be like, hold on.
00;05;49;09 - 00;06;10;21
Unknown
Yeah, people are already doing that. And, you know, there hasn't been anything too crazy outside of some of the, like, battery storage projects. But yeah, it's it's just one of those things that, like, everybody wants cheap stuff until it's being manufactured in their backyard and they're like, no, no, no, no, never mind. We're good. We'll go with the other thing.
00;06;10;24 - 00;06;18;01
Unknown
And so it's that's just energy across the board, I feel like. But.
00;06;18;03 - 00;06;40;24
Unknown
So obviously we're asking your opinion on this, but we haven't really given much background on who you are and what you're up to. Ryan. So tell us more about, you know, grid pilot and what the problem you guys are trying to solve. And we can we can go deeper from there. Yeah. Thank you. So basically, I mean, before this company, actually I was at a as a yes is a power company.
00;06;40;24 - 00;07;09;11
Unknown
They do most of the, clean energy stuff. They they are utilities and developers. They headquartered in Arlington, Virginia. That's that's why I was in Arlington, before this company that actually got me into this industry, very deeply involved and interested. So after that company, I started this company called Grid Pallet. Basically our vision is to bring AI to the power engineers.
00;07;09;13 - 00;07;36;27
Unknown
Right now, power engineers has to use these softwares, which already been around for like 30, 40 years, very hard to use. They don't even improve their I mean, your user design experience, it's very hard to use. I think, no one knows how to write COBOL anymore. That's all. Yeah. I mean, just Fortran and Fortran. Yeah, yeah, I just think it's it's time for a change.
00;07;36;28 - 00;08;04;12
Unknown
And, especially if you think about software. Right. Software engineers, they used to have to hand code all these like Python, C, C, sharp, C++, Java. Now they just talk to agent, talk to AI and they will write it for them. I think it's time for the physical world, the energy industry especially these engineers, because they are at the frontier of this, revolution.
00;08;04;15 - 00;08;29;24
Unknown
So we are bringing AI to these engineers so that they can just first of all, they can enjoy really the AI benefit, just a few, a few prompts or even a few thoughts and different designs, models, tests will be ready for them and then they can bring this to different construction teams, even their own companies, and get their data centers, get their energy generation's solar farms.
00;08;29;24 - 00;08;57;19
Unknown
Just yeah, get started to to construct. Yeah. All right. So back, let's, let's let's assume you're, we're talking to the average person who their understanding of the grid is, you plug the the plug into the wall and the power is there and it's on and it works. And I'm happy. Going back to your time at the at the utility originally, I don't think people like the average person has no idea how complicated a grid.
00;08;57;20 - 00;09;18;06
Unknown
Just a local grid, no less a statewide or, you know, once you get into the interconnects. And so kind of just explain, you know, the day to day problems that, you know, utility companies run into. Because I don't think that, again, the average person doesn't truly get how complicated these things are. They're just they're huge distributed systems.
00;09;18;06 - 00;09;35;18
Unknown
And you have you have control over certain pieces and you have no control over a bunch of it because it's all out in the middle of nowhere or, you know, in the wherever it is. And so I think I kind of frame the industry and the problems they faced. And then let's, we can kind of jump into to how you guys are attacking that.
00;09;35;20 - 00;10;01;11
Unknown
Got it. Thank you, thank you. First of all, it's a very, very complicated industry. Each state is different. Okay. We have what's called deregulated market. We have regulated market. We have a let's say Texas very, very wild. Right. You can do whatever you want. But when I was at the utilities, where I was basically worked at, it was in the state of Indiana and Ohio.
00;10;01;11 - 00;10;44;11
Unknown
Basically, I managed both for the state of Indiana. Everything is like it's called a regulated market, meaning one utility controls everything, one utility controls like substations, transmission lines, distribution lines, rates, generations, everything. Okay. It's generation to plug basically generation. Yeah. Everything. Like you, if you want to do anything about energy you have to talk to them okay. And then for states like Texas or where I also worked at the Ohio also manage Ohio, it's like kind of like a deregulated market where you have to short short like a shop for your own energy.
00;10;44;13 - 00;11;07;11
Unknown
Everything is like market based market price. You can hedge, you can speculations. Sometimes you don't even know which utility company to best utility. Just to, you have to do a lot of research or or trust your AI, right? You probably know this use AI. Where should I go if I have this challenge? But back to your question.
00;11;07;12 - 00;11;33;03
Unknown
Great. How how does this even work in the today's work? So let's say if if I want to build a data center, the first thing is I have to talk to a. If it's like Texas, we would have to go through this. It's called ISO process. ISO stands for independent system. So they are like a they're like the regulatory bodies managing all these different data center load, different generations.
00;11;33;08 - 00;12;03;08
Unknown
They have a bunch of paperwork, engineering designs, deposits. It requires you to submit. After you submit, it began to run a it's called interconnection studies. The eligibility studies. Completeness studies, feasibility studies, all that. And they also will like invite you to meetings just to discuss your plan. Usually this process all once everything all of the studies being done, it's usually like 2 or 3 years.
00;12;03;12 - 00;12;30;10
Unknown
And the, this study is really discussing how your data centers or your energy projects will impact the local grid in terms of the finance, in terms of like if they need upgrade it or not, if they want to spread out the rates to the the local communities, it's just everything. So, usually take 2 or 3 years to, to make this happen.
00;12;30;16 - 00;12;52;24
Unknown
So yeah, it's a lot of stuff. Yeah. Because you can't just, you know, have an idea and build it. Yeah. Yeah. I think that again, the average person just has no concept of how long it takes to do any, regardless of which side of energy you're on. Any of these projects takes years of just design and in engineering.
00;12;52;25 - 00;13;13;26
Unknown
Right. Like before, just plants. Don't you have to do all the permitting and regulatory requirements? Then you've got to go actually build an execute. And so it's yeah, it's, you know, it becomes comical when you hear things like Ercot saying, oh yeah, we're going to add 200GW. You're like, how where is that going to come from? How are you going to build that in five years?
00;13;13;27 - 00;13;42;17
Unknown
Like it's it's physically impossible. It seemingly and so that's a big part of it. But yeah, newspaper headlines, they like the right 200GW. But in reality, I don't know, maybe 50 gigawatt or 20 gigawatt will really get built. Yeah. So, Ryan, how'd you get into this? Because I'm looking at your your background, like. I mean, just happened to be, like, that was a company that you got on with.
00;13;42;17 - 00;14;09;14
Unknown
Or did you always have, like, a, you know, interest in energy or or the grid and everything? Because I'm looking like you're running a few people seen you have, like, a data science, but you had, I guess, the economics as well. Were those, like a dual major that you did? Yes, yes. Okay. Did you did you want the economics side, or did you just realize that there was so much calculus in math that you were already doing and computer science that you could also get in academic?
00;14;09;16 - 00;14;29;19
Unknown
I had no idea. I had a very good friend and undergrad who was an econ major, and I remember I think it was, I don't know, second semester, freshman year or sophomore year, whenever it was. And he was looking, he was showing me his homework or whatever was like, I didn't know you were doing calculus and economics. You know, I'm over here in my engineering bubble and only doing ridiculous math.
00;14;29;20 - 00;14;55;27
Unknown
And, but yeah, I was random question. Yeah, that's very a good question. I think, back then, back then, that's that's the way before AI. Right before AI, it was especially I went to a, school called University of California, Davis. It's right next to Silicon Valley. So back then, it's just like everybody studied computer science.
00;14;55;29 - 00;15;16;29
Unknown
Okay. Everybody's like, want to be a software engineer? Because it's a highest paid job, especially in, like, near Silicon Valley. It was like one hour away. Like while we drive, it sounds like it's like basically if you study computer science, you will get like at least back then it's like a 100 K or 150 K job. Like it's kind of guaranteed.
00;15;17;03 - 00;15;47;17
Unknown
So, like 90% of the people near me, like around me started this. But the thing is, I, I think computer science is going to somehow. I mean, first of all, I think I the first lesson I had was a C, C, C class. It was so difficult. I was like, I got a job. So I, I started to think about if there's any other interesting areas that I should dig in.
00;15;47;17 - 00;16;10;11
Unknown
And then actually our I mean, my undergrad, they started the, what's called data science. It's under it's under statistics. So data science is like a I mean, now this is like AI, machine learning. But back then it was very interesting basically using some historical values and then do some forecast, some machine learning. I was like, well this is interesting.
00;16;10;13 - 00;16;34;11
Unknown
So that's how I get to data science statistics. And then but I think is like if you want to understand the real world, you can't just, do all of the codings and the forecast. You have to understand how the world runs. Right? So that's how I get into like, economics. You just have to understand the demand, supply and all that game theories, everything.
00;16;34;11 - 00;17;04;12
Unknown
So yeah, that's how I get started. All right. Random question. What's your favorite game theory and why? I love game theory. It's just it's it's such a fascinating exercise. I still remember the first the first game theory was I think it's like a whatever dilemma. Right. If you prisoner's dilemma. Prisoners dilemma. Yeah. It's it's a very easy question.
00;17;04;12 - 00;17;25;01
Unknown
It's a very easy example. But it really got got everybody thinking like got me thinking about. Yeah. This is actually a, a subject you can study deeply. Yeah. And it has statistical. You can pull I think it's fascinating because you can put statistics to a real world scenario where you wouldn't believe that statistics would be involved at all.
00;17;25;02 - 00;17;39;04
Unknown
Right. It's like under these conditions. This is almost always guaranteed to be the outcome unless this thing changes and it's like almost what is it? And,
00;17;39;06 - 00;17;59;14
Unknown
Yeah, it's the same thing. Right? Ultimately. But it's fascinating because you can model the real world, you can model decisions, you can model human behavior. Except kind of just to quantify every behavior. And, yeah, if you don't study that, you just never know. Yeah. And like calculations, equations and even you can do derivatives. Oh my God. Right.
00;17;59;15 - 00;18;20;28
Unknown
Yeah. But yeah, I think I think one thing you said in there, because, I mean, I again, I came out of I was at a math degree and I was a teacher, but I got in and I started doing a lot of data science when I got into and gas and everything, but is like, then I would have other people asking me like, hey, I want to go from being a teacher and get into it and like, I've got this Python certification.
00;18;20;28 - 00;18;49;18
Unknown
What should I do next is like, stop worrying about like what computer. And it matters even more now, right? Because basically the barrier to writing code or even like doing data science has pretty much gone to zero, right? Like, I mean, you can prompt AI to do a lot of that work for you, but is like you need to understand, like you said, either the world globally, like from a kind of standpoint and or when you get into whatever industry and you need to understand that and that's where the actual value is going to lie.
00;18;49;18 - 00;19;09;12
Unknown
And then, you know, the fact that you have these other skill sets, you know, is an amplifier. But just I know how to do linear regression or I know how to write R or Python or Julia or whatever doesn't even matter now. It didn't necessarily it mattered bit back then, but it doesn't didn't even that wasn't even the secret sauce, right?
00;19;09;14 - 00;19;40;09
Unknown
Like, you have to understand the problem that you're trying to solve and then understand, like the limitations of different methods and everything. So, yeah. How far away from our math professors we get? We can't we can't escape. You have to understand the bounds of your equation to, to actually be able to use it. And I think that's, that's the scariest thing about the AI stuff is it's like, yeah, I could tell it to go run a regression and it'll be like, yeah, hey, here's this thing, but your R-squared sucks, but it's not going to tell me that.
00;19;40;09 - 00;20;07;06
Unknown
It's just going to agree with me because it's trained to do that. And so if I don't know what r squared means, I'm gonna be like, oh, look, this is a direct correlation and we should build the whole company off of that. And that could be very wrong. Yeah, you overfit it. And that's so. Yeah, it's funny because like, I was, I was I've been running a little test on some stuff I was working on this week and a we always most of our clients are running in Azure.
00;20;07;06 - 00;20;41;05
Unknown
And so we test everything on the GPT models. But then every now and then I'll, I'll use different models just to see. And I was running I think it was Quinn. And what were the other ones? Quinn, Gemma and one other one. Oh GLM flash they all had vision models. And anyway, I was running them through this and you could tell which models were derived from each other because they had the exact same failures and the same exact problems versus the other models, where it's like, yeah, the GPT models all failed in this little group, kind of.
00;20;41;06 - 00;21;00;12
Unknown
And you can kind of see it by, you know, tier. So like the four and five GP, the the non Luna ones have their own little grouping of failures. And then the Luna, the higher tier GPT ones have the same grouping of failures and then the open source ones depending on which ones they are. They also kind of group and cluster together.
00;21;00;20 - 00;21;25;13
Unknown
And it's like these are all derivative works of themselves at the end of the day, like even the open source ones were trained at some point by, you know, Claude and or GPT. And so it is fascinating like how much to think about like theoretically, we're just arriving everything off of the same handful of foundational models at the very root of this.
00;21;25;13 - 00;21;50;11
Unknown
And it's like, is there something in that that is just vehemently wrong, that everything that has been generated since is going to be anchored to, in a sense. But I don't know, it's it's fascinating to watch all this stuff because you're right. They do they do reproduce the same way they do. They have the same tendencies. They tend to do things, you know, and that results in the same data, which is kind of wild.
00;21;50;13 - 00;22;18;14
Unknown
Yeah. So and also like what we believe really it's going to happen in the next 5 to 10 years is what we call a vertical foundation models. Basically we believe and I think probably everybody also agree with that. A lot of the values, they're not I mean, not just in the public data, they're actually hosted in your like hospitals and utilities systems.
00;22;18;22 - 00;22;45;04
Unknown
They're not used. They're kind of like a wasted. No I think on ERP or all the data. Right. So it's the next best model would be that that kind of the best vertical foundation model, which kind of just, gathering all of the data from this proprietary database. And then it will be kind of like a super intelligence brand just for that vertical.
00;22;45;10 - 00;23;15;12
Unknown
So I think, yes, that day will come like in the next 5 to 10 years. Yeah, man. It's we're here. That's that we have we're going to be releasing our harness soon and that will have we've already post trained to a wheel and gas model and and gas embeddings. And it's amazing. Like our embeddings model does like 6060 to 80% I think better than, you know, the GPT embeddings model for petroleum engineering.
00;23;15;12 - 00;23;36;03
Unknown
And it's like it's fascinating to see those numbers. But then if you're just using it on a day to day on like a handful of documents, you're like, but it works in that sense most of the time with some massaging. But people don't make that jump of like, oh, well, how do I get this to work on the terabytes of data that we as a company have?
00;23;36;04 - 00;23;59;15
Unknown
And that's a whole nother ball game. Then, you know, just doing a quick GPT project or cloud project with five documents in it. And I think that's I completely agree with you. That's where these things are going. Right. Like, I think people dramatically underestimate the job that the foundational model companies have of trying to get something that knows everything about everything.
00;23;59;17 - 00;24;20;14
Unknown
It's like it's hard enough to get it to know everything about one subject accurately because like, information changes. I think that's the big piece, right? Is like, no matter where you start your training, you're going to have an end. And that end is going to be the limitation, because there will be new information that comes out after that cutoff that you then need to roll back into your model.
00;24;20;14 - 00;24;39;01
Unknown
And, and so you have this infinite loop of never stopping or I don't know how long ago it was within the last six months. Now they're like, well, we we're running out of data on the internet. We need more data. We're building synthetic data. And it's like, I don't I can understand synthetic data in a lot of, use cases.
00;24;39;02 - 00;24;58;22
Unknown
I don't know that training things on synthetic data makes the most sense if you have real data that just hasn't been exposed to it yet. So yeah, I completely agree with you most. I, I think the the tricky part is enterprises and corporates don't are so terrified of having their data touched by anyone else. That's it will happen.
00;24;58;22 - 00;25;20;07
Unknown
It just has to be done in the way that they want it to be done. Right. And that's a can be tricky at times. Yes. And this is actually one our job. We really wanted to, you know like bring AI to the to this so-called like energy industry enterprise. Let them know your data is hosted privately. Your data is safe.
00;25;20;09 - 00;25;59;01
Unknown
And we will if you don't share your data, your team like this industry will never get benefit from AI, right? If we just use some generic public data, public models I mean, no, no, no, we see no money will kind of a willing to dump into the AI field within the energy industry. So I think nowadays more and more, energy companies, they kind of like slowly open up their, their door, especially like my team, our team was coming from the and develop a world.
00;25;59;01 - 00;26;24;07
Unknown
So when I talked to them they kind of it's already there's a trust a little bit at the forefront. If you if you're not coming from the the the energy industry, people don't believe you like they. What are you going to do with my data. Right. So I think it helped a little bit. Yeah. Well I think that's another big point as to why I think the verticals went out in a lot of these, at least at the corporate level.
00;26;24;09 - 00;26;48;24
Unknown
Is that. Yeah. Like people, you know, you see this all the time where tech might come in and suggest a solution, but they're suggesting a solution to a problem that they don't understand all the constraints to like a data center or, I mean, maybe a data center in tech that that checks out. But powering let me. Yeah, powering a data center is not something that a tech company has ever done, ever worried about.
00;26;48;26 - 00;27;08;19
Unknown
They just have had their servers. And most of the time they don't even own those servers in a lot of cases. And so going from that, you know, a rental model to not just owning and maintaining the servers, but then also operating, owning and maintaining the power to those as a whole. Nother level of scale that, that you're not thinking about.
00;27;08;19 - 00;27;29;13
Unknown
Right. It happens all the time, right? Like, oh, well, why don't you just put put a laptop out there and let them capture the data in the field? Oh, well, there's no internet, and Starlink doesn't work out there like there's. Or it has to be air gapped or, you know, there's a million different things that someone who doesn't work in that sector doesn't know.
00;27;29;15 - 00;27;59;19
Unknown
And so they they can't design around them because they don't have the experience. And I think that's a big, big part of this. Yeah. It's a it's I would say because AI will eventually actually starting entering the physical world and they will see more constraint like that. So I think only if you ever worked in the industry, you can you were able to bring AI because you to the industry because you know the real constraint.
00;27;59;21 - 00;28;15;11
Unknown
If you're just like a tech software guy there, it's very difficult. It's a and they don't even want to talk to you because you don't understand their issues well. And they've seen people try before back in the data science and machine learning boom. And like, oh, we we can solve your problems with this and we know it better than you do.
00;28;15;12 - 00;28;54;07
Unknown
It's like, no, you don't. You never eat the dog food. You have no idea what you know, even like, but Johnny had Sam join and like, he was just appalled at some of the the data quality and just softwares. And like, I sent you that that, that message yesterday, one of one of the projects I'm working on, there's a bunch of it's machine time series data and, you know, there's a bunch of different tables and like one of the tables is local machine time, whether that's been and that's a mobile unit that may or may not be connected to the internet drift.
00;28;54;12 - 00;29;16;04
Unknown
And so yeah, there's going to be inherent drift into it. And it's like it doesn't automatically do daylight savings time, but daylight savings time is applied once there's downtime. Right. So it's not it's not in UTC. There is no mechanism for documenting or recording what time zone the data is captured. Natural time. Except for when it isn't.
00;29;16;06 - 00;29;35;12
Unknown
I don't want to put them on blast to much, but I was just like, man, come on. Yeah. Like the the response was, well, most of the time it should be central, but sometimes it won't be. It'll just be the local clock. And the local clock may be wrong. Like, oh, I mean like, I mean it's something that I'm, I'm blasting you and I've been having this conversation for years, even over a decade.
00;29;35;14 - 00;30;00;01
Unknown
Yeah. Just basic stuff. Yeah. We'll. The real world is nasty. That's all right. Like, that's. I think that's the big thing that the energy industry, like there are conception of tech is like, oh, well, we'll just make an A form and you can just input the data there. And it's like, well, if you have full control over all the data into end, yes, you can do lots of things with it.
00;30;00;01 - 00;30;21;04
Unknown
But in energy, the people who own the data most of the time don't generate most of that data. It's generated by other people in other formats, in different, and it's delivered in different ways at different times and different frequencies. And so you have to figure out how how to ingest, aggregate and normalize all of that data first. And then you can go do stuff with it.
00;30;21;08 - 00;30;39;15
Unknown
But people are still fighting that battle. You know, I can't tell you how many times we go into a client's office and like, yeah, we know, we know our database. We've got everything documented, blah, blah, blah. And I was like, okay, send it over. And then two months later we get, you know, a little Excel table that has like one sentence about every field.
00;30;39;15 - 00;31;03;15
Unknown
And that's really it. There's no eared or like, oh yeah, well, you know, everything in that is clean except for from 2024 to 25, we had 100 rows with this one issue. And it's just like all these exceptions. Right. And so at the root of all of this is the data though, like it doesn't matter. At the end of the day, if you have shitty data and bad data, it's going to give you bad answers.
00;31;03;15 - 00;31;16;27
Unknown
And I think at the root of this, that's what people still don't necessarily understand. They they just think the language model is going to magically give them the right answer, even if the data is in their wrong.
00;31;17;00 - 00;31;38;02
Unknown
So so, Ryan, I mean, I think try to hit on a little bit earlier, but like, so you get through school and you did work in like data science and machine learning and you know, some master's analytics looks like what was your where did you start? Like what that was like your first job in energy. Like what did your first job look like and what was your growth, you know, within the company?
00;31;38;02 - 00;32;09;16
Unknown
And then like what? At what point you're like, I need to go solve this problem. How'd you get hooked on the the energy side? Yeah. I want to share something interesting. So before before starting this company, actually, the reason why this company is called Great Pilot is because I'm also a pilot. Okay, so, What? My first job, what I love to do, okay, was bring my colleague up in the air and just fly them over the weekend.
00;32;09;18 - 00;32;36;28
Unknown
Just show them some, like what I call, like, some airspeed, like, because sometimes they they travel between cities and take a couple hours and then I'm like, we can do a day trip. We just go there for 30 minutes and come back and have dinner. Have breakfast. But, so for this company, yes, I my vision is to bring the kind of air airspeed aircraft speed to the energy industry energy field.
00;32;37;02 - 00;32;59;28
Unknown
And when I was working at the utilities for the I mean the company called a yes, people are super nice. I made a lot of lifelong friends over there. And what I find is all of them, they wanted to use AI like I was the one bringing data science machine learning to the company. And everybody was super surprised.
00;33;00;06 - 00;33;20;29
Unknown
So I started to tackle more and more, more and more issues. Different departments just come, come after me saying, hey, can you do this for me? Just one quick report, quick analysis, quick, like yeah. And I'm like, okay, I, I will get back to you tomorrow. Okay. So then they started to see some like data science, machine learning, speed.
00;33;21;05 - 00;33;50;09
Unknown
And then that was a little bit before, AI, I think ChatGPT was just just kind of like a published. It was still not a very good model back then. So they may still make a lot of mistakes, but as like AI gets better and better, I started to do more things fast. And then I was like, wow, I think this is really coming especially.
00;33;50;11 - 00;34;16;26
Unknown
And also like this people in the industry, they realize AI is real. It's not like back then it was a lot of hallucinations, right? Or or in the side. Everyone hates your black box answer because you can't explain it, right? Yeah, very. It works. But if you can't explain it, people people don't like it. Yeah. So. And then, yeah.
00;34;16;27 - 00;34;39;08
Unknown
And also because so I was in the energy industry, I, I talked to a lot of engineers. I talked to a lot of transmission engineers. A different power engineers. They, I often see like, hey, once I send them stuff and they have to do studies, they can to do modeling for the next, like 3 or 4, four months.
00;34;39;12 - 00;35;06;26
Unknown
It's not like 3 or 4 weeks or months. I was like, and I was like, why? And then I started to talk to them and go to their offices, look at some of the softwares, which is really, really hard to understand. And I think they really, I think like the energy field. If they keep doing that, it's really hard to hire people because they don't nobody really understand how to use that software.
00;35;06;26 - 00;35;29;19
Unknown
It takes time to train. So, I think it's time to change. Yeah. I don't think, the staffers will be they will still be around, but either they're going to change their interface or we're going to bring some AI and then, so that in the future, people don't have to learn this, you know, spent six months just to learn how to use different software.
00;35;29;22 - 00;35;50;25
Unknown
Well, I mean, I think it's sad, you know, now, like, whether it's just various domains, like whether it's, you know, petroleum engineering or geology, I'm sure it's same for other engineering, like, like you still have job descriptions where, like, I need someone who knows X software. It's like, so are you trying to hire the best, you know, engineer or geologist or whatever that is?
00;35;50;27 - 00;36;18;28
Unknown
Or are you going to push a good geologist or, you know, domain expert away because they don't know this specific software, right? They all look. Yeah, but it's just, you know, yeah. I think if we can get to a better future, like, like you're trying to deliver on your side of the world and, you know, for collide and other folks like, we can get past almost gatekeeping of, like, you need to know kingdom to be a geologist here.
00;36;19;00 - 00;36;45;10
Unknown
Like, no, I need to be a good geologist. And then the tooling can work with my expertise and my knowledge. Yeah, yeah. If you normalize the the industry specific stuff. Right. You abstract that to an agent that it writes the VBA instead of some 22 year old who's never opened an Excel file and it writes the BBA but doesn't write VBA, writes rust because it's actually faster, right?
00;36;45;10 - 00;37;04;00
Unknown
It writes it in rust and it runs it in the browser and it's done. And you don't ever have to touch Excel. That being said, I can't tell you how many of our clients would love a native office suite in our tool, and that drives me crazy, but we'll probably end up delivering it because people, you gotta meet them where they're at, right?
00;37;04;01 - 00;37;22;20
Unknown
And I think that's another big thing that the average person doesn't understand is that all these billion dollar energy companies are still being run out of spreadsheets for the most part. All the financial models are done in spreadsheets. All all of this stuff is still done in spreadsheets. And like at the end, Bobby and I have had this conversation a lot on this show.
00;37;22;22 - 00;37;40;03
Unknown
Like, if that's where they're comfortable working and that's where they're going to work, you have to meet them there. It to an extent. And so it will be I think that's probably the biggest like up in the air question of all of this is like, what is the future of what is the interface of work look like in the future?
00;37;40;04 - 00;38;11;21
Unknown
Right. Is it just a chat? Is it a chat with generative dashboards that I create in the chat that I can then pin like, you know, and then of course, there's going to be all these derivative workflows where it's like, I need this very special visualization and I want it to be that way all of the time. And so then it's like, okay, what was that a skill or is that a tool or is that a plug it like it's it's it's going to be fascinating to see how this all ends up shaking out because no one really knows.
00;38;11;23 - 00;38;26;03
Unknown
Yeah. I mean, we said that in the last episode, you know, because we had John from Spa Fire, but it's like it was like a month and a half ago. Dashboards were dead. And then Claude came out with dashboards and everyone was like, oh, look how fast I can make dashboards. So now we can create a thousand dashboards in a month if we wanted to.
00;38;26;05 - 00;38;54;03
Unknown
You know, it's just like, my dashboard problem is just perpetually worse. Yeah. I think that's the thing about, like, the AI startups right now, like they have to change. They have to improve every day. If they don't, if they don't change, if they don't improve their product, their solutions. I mean, these open like big generic models will will catch up and they will lose their mode.
00;38;54;10 - 00;39;28;28
Unknown
So it's just like a you just have to build, build, build every day. You have to ship, you have to improve your product, building more features so that you are never basically left behind. Yeah. Where are you? Oh, sorry. Go ahead. Bobby, I was going to say like. I mean, does it make more sense? Like for, like, say, companies like the two yours like to focus a lot on, almost like a CLI type, you know, interface that because then you can build things off of that or you can provide I mean, again, I know that's delivered to probably more technical people, but like, is that the right foundation to start from.
00;39;28;28 - 00;39;54;11
Unknown
And then other tooling can build up off top of it that are more GUI based, like, yeah. So originally I would have agreed with that until, you know, the last couple of months with me and grok bot and dots and insert your favorite, I, I like buzz. Shout out to Jack and those guys. But, I think the future is an agent on top of a sandbox.
00;39;54;16 - 00;40;14;15
Unknown
A sandbox, right. So the agent can then write Python. It can, it can spin up websites, it can spin up artifacts. That's what Claude and GPT are currently doing, right? Like they don't know how to do math. They write Python that does the math, and then they give you the answer. And so I think that's that ends up being the, the future of this.
00;40;14;17 - 00;40;38;27
Unknown
What that and mostly because the average person, one doesn't want to be in a terminal. I can tell you first. Oh yeah, I mean, yeah, most people don't. But I like to think about it. I don't know, I just feel like it's not a having something that understands the terminal, which it more than the average person, like an agent, is going to make it easier for the average person to use.
00;40;39;00 - 00;41;03;18
Unknown
That being said, if you have a developer like us, I look, I use the terminal every day. And so it's, it's a but even then, like there's all these new tools like, T3 and Herder and things like that that are coming out that are UI on the terminal to make it less terminal like. And so it's like, okay, now I've got a terminal that can spin up a browser in it, and the terminal can actually see what's happening in the browser.
00;41;03;18 - 00;41;29;25
Unknown
That's awesome. Right? Like from a sandbox perspective, being able to let my agents spin up stuff and have computer use within the same window is incredible. But then it's like, yeah, then you run into all the, all the stuff, right? Like, oh, is the agent going to go download a package, you know, from Pip that's corrupt or has been, you know, infiltrated, that's already happened on huge libraries, right.
00;41;29;26 - 00;41;55;06
Unknown
Like and so how do you from an enterprise perspective, how do you deal with that. That's a whole nother can of worms. And so there's, there's just so much to unpack with that. But I think the future of it is agent excuse me, agents orchestrating at the CLI or the command line level up and down in some kind of sandbox.
00;41;55;08 - 00;42;46;15
Unknown
I'm curious your thoughts. Right. I I, I agree. Yes. I think it will be agents. It actually I mean my personal life I use a lot of muse. Muse is like a agent, my personal assistant. Everything for me. I think, yes, in the future, it'll be probably even for the enterprise. They will maybe. I mean, maybe each of them will have, like, a personal bodies, and they're gonna act upon different agents, and these agents will produce a different product, different results, report for them without even, like, they don't like basically these customers, they don't have to talk to this agent every day.
00;42;46;15 - 00;43;10;14
Unknown
They just produce it for them. And then they can review and check and then submit, I think, I mean, we I mean, obviously you guys already use a lot of the AI already, but it's I don't think it's yet comes to the enterprise customers. But it will come. Yes. Yeah. Yeah. Most of them are using it for like emails, XML, calendar, PowerPoint, which is great.
00;43;10;15 - 00;43;30;11
Unknown
Like, honestly, it is so convenient to have Claude go pull my emails, give me a priority list, write a draft, review the draft, and hit set like it's so convenient to do all of that from one place. But I think that's ultimately the future. Whatever that one place is, wherever the hell that ends up Claude Crock, whatever. Like that.
00;43;30;12 - 00;43;57;29
Unknown
There's a single plane where you can basically deploy your agents to go write code, to go check your Gmail, to go look for car insurance. And that's that's what it's just a suite of personal assistants. And they can be temporary or they can be sustained. And but yeah, I mean, it's amazing what you can do when some of these things just on the side.
00;43;58;01 - 00;44;19;09
Unknown
So, Ryan, one thing we like to get into, if we're gonna talk about your, your platform, whatever is like is going to maybe just the overall like, is this public cloud or is this containerized? It can be run locally, especially when you're dealing with companies that you know might be on Azure, AWS, or they have their own, you know, internal, you know, hardware.
00;44;19;11 - 00;44;40;13
Unknown
And they may be very, you know, want it as secure as possible. You know, just kind of curious what design decisions you guys made with that then just like, how are you? Are you you're leveraging frontier models or, you know, local models, you know, within it? Just kind of curious how you guys have thought about, you know, developing your platform.
00;44;40;15 - 00;45;07;17
Unknown
Yeah. Everyone wants to talk about open source models on the price side. Yes. Thank you. Thank you for asking. So we actually got a question a lot from clients. Yeah. How did you how do you guys make sure our data is safe? If you have all of the, like, data center developers data. Well, all of these data like communicated with that with each other and then get kind of a mixed up.
00;45;07;21 - 00;45;33;25
Unknown
And how does that even work. So basically the way it works is first of all, we are basically using some public nonpublic. But these like frontier models API, API itself is already a they have like privacy kind of policies. Make sure your data is not going to be a go to their platform, but at least that's what they claimed.
00;45;33;27 - 00;45;57;23
Unknown
I'm not sure if that is 100% true or not, but everyone's screwed. If that's not the case, everyone is using it. Yes, we use API and then for some high level just generic like power system design drawings, we will use that. But then for for some like detailed policies package and then even we have engineering team sign off.
00;45;57;25 - 00;46;22;14
Unknown
That's like a in our industry it's called p stamp. So with that we will have to do it everything locally because we cannot get rid of the human part, especially the engineers expertise in this. In this process people will use this design and go go to construction firms and go ahead and construct. So, there's a lot of human.
00;46;22;16 - 00;46;42;05
Unknown
Again, I just we have to review. They have to sign off, put their name on it. So that's that's why everything cannot I mean, cannot just be like AI cloud or generate it and then. Well, that's not what people like. That's not what companies want either. Right now at least. Yes. Right. Like they still I think that's another misconception, right?
00;46;42;07 - 00;47;01;28
Unknown
People think that, oh, AI just means that it's going to be automated all the way through. And it's like, no, not not in the enterprise, at least not in the energy field. Yeah. Yeah. You it's it's too big. It's too risky. It's too expensive. And so it's not that you're automating a human out of the way. You're automating the information that's delivered to a human.
00;47;01;28 - 00;47;24;14
Unknown
So it's faster, more succinct, more robust, more detailed all together. Right. Like you're you're getting rid of the searching piece that the human would have to do in most cases takes weeks. You know, searching, compiling and aggregating all of the information from all of the different sources, in all the different formats and all of that, all the different drafts and variations of it.
00;47;24;14 - 00;47;51;29
Unknown
That's another big thing people don't think about is like designs aren't start to stop, finish to end the same. Ever. Many, ever. There are so many iterations that happen, and so just keeping track of that is itself a huge pain in the ass. Yeah. And so that's that's where a lot of this comes back to is the human is still making the decision that agents are doing all the legwork to help inform, allow them to make the most informed decision they possibly can.
00;47;52;01 - 00;48;24;03
Unknown
Yeah, I think that is the difference between like energy, power and industry and the just basically the physical world. And like the software world in the software, in the physical world, this is like serious business. People need to sign off. Yeah. It's it's not like a code that you can debug for, for air. Right. In the physical world, if you make a mistake in a construction that's maybe like millions of dollars for life and death.
00;48;24;05 - 00;48;48;16
Unknown
Yeah, yeah, yeah. It's serious. Yeah, yeah. That's a drum we've been banging since we started this podcast. You know, it's like, you know, Spotify, their recommendation engine can be wrong. And you just go to the next song or, you know, Tinder and you swipe right, you know, whatever, like, you know, and then like, you know, they can reinforcement learning all the things they want to do, but like use AI or machine learning, something like that to automate something.
00;48;48;16 - 00;49;22;24
Unknown
You mess it up and something explodes or falls apart. Like there's a huge fallout from that. Yeah, there's real world implications to it versus your Facebook feed being down. Yeah. And also especially I guess, because you guys are also doing the same thing. But as we are bringing AI to this industry, we are actually with our like clients, with energy companies rewriting the the policies, rewriting the, the rules, the regulations around this industry right before they just either do this everything manually, go to different consulting firms, whatever.
00;49;22;25 - 00;49;55;02
Unknown
Right. Coming back and forth right now we are really like gradually and slowly, but I mean, kind of like rewriting this, this kind of a status quo together. So I think it's it's it's at least we're heading towards the, the right direction. Yeah. So I think we interrupted you, but where are y'all primarily AWS. Azure. What's your preferred cloud?
00;49;55;04 - 00;50;16;28
Unknown
You mean like the database? No. Like like like a cloud platform. I am on web services, Azure, Google Cloud, or, you know, do you utilize any of those or are you all running locally? We run some the engine, like the initial drawings. On the cloud. But then after the initial drawings, we will run everything locally.
00;50;17;00 - 00;50;21;20
Unknown
Yes. Okay. Yeah. Cool.
00;50;21;23 - 00;50;24;02
Unknown
What?
00;50;24;04 - 00;50;45;05
Unknown
Go ahead. Bobby. No. Just, Yeah, I think because. Because you went into the, utility as a, like a as a data person, right? You know, like, in and that's kind of how I got I got in as well. And I think it's pretty interesting, like because you, like you said, you met with engineers and different people at different corners of the business.
00;50;45;05 - 00;51;03;22
Unknown
And like, I think that's a fantastic way to learn a lot about how a just that company works or how an industry works, like when you get to see how all the different pieces come together, and like when you have to join the the data from all the different corners. Like that's basically understanding how all the different pieces fit together, you know, in a more physical sense also.
00;51;03;22 - 00;51;26;22
Unknown
So just curious like on your thoughts there, I mean, like you probably are in a perfect spot to do what you're doing at Grid Pilot because you got to see different sides of a utility or a business. Whereas like if you just work on just the engineering side or in one specific side, you wouldn't have you had that more holistic or global view of what the what companies like that need.
00;51;26;25 - 00;51;53;00
Unknown
Yes. I just want to I just a very clever I, I, I didn't working like the data data rule I was working okay. Yeah it's a real I did many roles but the rule the first the first job it was in the resource planning role for the utilities resource planning. Meaning basically how your how utility going to plan, operate, generate and upgrade for the next 20 years.
00;51;53;04 - 00;52;17;25
Unknown
Because of that, I got to got the chance to work with different departments because I would basically they were a it's a it's a report that I have to publish for the company and outline how the company going to plan, how they're going to upgrade, build and supply everything for the next ten years. And there are like 30 different scenarios because I have to do that.
00;52;17;25 - 00;52;38;17
Unknown
And then I bring the AI data science sots. So I got to got the chance to touch with different departments. So I was actually in the business side. It's not just the okay. Yeah, yeah. Even more so it sounds you were because you were on the the planning side, you had to every single department pretty much. Right.
00;52;38;19 - 00;53;00;03
Unknown
Yep. They, they, they have to talk to me and then I have to write the report and publish it and file to the local commissions. And you kind of got government or that. Yeah. Got it. That makes sense. I mean, yeah, I think anything like because I would always work closely with like the a folks as well just, you know, because and again because they're just hungry.
00;53;00;04 - 00;53;15;17
Unknown
They need all the data from every corner. Like what are your assumptions. What are you know, what what are we using now. And you know, what are we plan on. So, No, it's a great way to to learn, you know, everything about a certain, a certain industry or company, so.
00;53;15;20 - 00;53;41;03
Unknown
Yeah. Ryan, where where is the company at? What kind of, as far as, like, are y'all still seed or or venture backed? Where are you all at? Yeah, we raised a $1.3 million so far. Here in New York, most of our, I mean, it's, we see bad company, all institutional money. But we are going to open up our next round next week.
00;53;41;06 - 00;54;03;24
Unknown
Yeah. Next week. It's going to be a 5 million round. So it's a it's going to be a round. We're opening up 5 million round and hopefully just close it by the year end. Yeah. Nice. Congrats. Thank you. Thank you. That's really cool. Yeah. What else is going on with you guys? Are y'all going to be at any kind of shows or or events or anything the rest of the year?
00;54;03;26 - 00;54;28;07
Unknown
Yeah, actually, in two weeks, I will be going to a event called plus, it's the largest clean energy conference. A lot of the developers, data centers and the EPC firms they will be attending. So if any of you who are listening going to attend, please meet with us. We have a booth. So we're gonna we have all of the product showcase.
00;54;28;07 - 00;54;52;23
Unknown
Everything. Yeah. Where is that one held? Las Vegas. Vegas. Nice. Nice. A good time. It's, It's actually in a week of the, you know, the F1, you know? Oh, that's really cool. Yeah. Yes. We need to start planning for that. Yeah. Instead, I'm going to the the dep barbecue in a parking lot next week. So that's gonna be a good time, though.
00;54;52;26 - 00;55;13;21
Unknown
It will. It will. Are you gonna be. Well, speaking of, like, you know, Ryan's a private pilot, apparently. I mean, like I saw last night, you were trying to get people to get on a on a jet from wishful thinking. Yes. We waited a little a long to look at our flights. And so the plane tickets are getting pretty costly for that, that trip a week out.
00;55;13;21 - 00;55;35;10
Unknown
And so I was like, yep. Surely Jaysh or somebody has flights from Houston to Midland that we could just like jump a couple people on. And so yeah, I found one leg and it was like 5500 bucks for a seven seater. How much they call 5500. It wasn't it wasn't bad. That's like for the entire aircraft or one seat.
00;55;35;11 - 00;55;57;23
Unknown
Yeah. No, the whole thing, like, so, like seven seater. So if you got seven people to go. Yeah. No, I was like, that's pretty damn cheap if you got to get it up. Yeah I did look, when you posted, I was like, I'm gonna make sure this is not a Lear 60. Yeah. Well, I was fully expecting just like a turboprop, tiny, tiny plane, but it said.
00;55;57;25 - 00;56;21;09
Unknown
It said light jet is the category, whatever the hell that means. But no. Yeah. If you're ever down here, Ryan, I would love to come flying with you. There is a executive airport, like, ten minutes from my house. That would be awesome. So, yeah, it's, ever since Topgun, when I was, however old. Seven. Probably way too young to be watching Top Gun and all, honestly.
00;56;21;12 - 00;56;41;21
Unknown
But I have thought about some Top Gun me today that someone my son would love it and I'm like six year old to watch Top Gun. Probably not like. Yeah, there's also so many things that will go over their head. Like he was asking me, can I watch this Iron Man? And like I was looking it up and people were like, man, it might be a little young, but like, it's just there's so many things that will just go right over their head.
00;56;41;21 - 00;57;12;05
Unknown
They have no idea. They have no obviously certain language and stuff, obviously, that you got to be careful with. But yeah, just. Yeah. Always. Yes. Even flying for how long you've been flying for? Over a little over three years. Okay. It's a I will say it's definitely pretty fun, especially if your guys in Texas, like, it's it's like you can fly and there are lots of airport, I think near Houston.
00;57;12;06 - 00;57;31;16
Unknown
Austin just. Yeah, it's just so many airport. Yeah. Yeah. We've been saying I think towards you John like full share. And I know I drive by one all the time in Alvin. Like there's like literal communities of like houses where people have their own hangars and like, like a little, you know, like it's all centered around a,
00;57;31;19 - 00;57;53;28
Unknown
Yeah, yeah, yeah. Runway. It's pretty cool. That's awesome. What's your what's your favorite playing? You flown so far? Ryan we'll do our speed round about about this because this is very interesting to me. What's so what. Sorry. What what's your favorite plane that you've flown so far?
00;57;54;00 - 00;57;58;24
Unknown
My favorite. Or my.
00;57;58;26 - 00;58;25;20
Unknown
My favorite aircraft or. Yes, that you've flown. I've. You mean the trip or just the aircraft type that you've actually aircraft? Yeah. You've been about of the aircraft type. Yeah. Yeah I mean because I'm a so in the aircraft world there's so many different levels. Basically I'm like the elementary school student in. So, you're still doing props is that.
00;58;25;21 - 00;58;52;06
Unknown
Yeah. Like it's called like it's called a single engine. Like land, basically like Cessna Pipers. Yeah. It's like super elementary type. But again, I had a fun time flying a diamonds and also serious, I think they're like, they're like a super meetings with all the aircraft. Again, it's very expensive. I think it was like 500 bucks just per hour.
00;58;52;12 - 00;59;10;09
Unknown
But like Cessna Pipers, they're like 200 bucks per hour. Yeah. Most of my time there, spending my spending like this. Like, I guess like a single, single prop. Like a aircraft. Yeah. That's awesome.
00;59;10;11 - 00;59;26;23
Unknown
All right, so if we're going to, we always like to weave food into this. But I know you're you're pretty new to New York City. So if you could hop on a, you know, hop in your, you know, single prop plane and fly somewhere and then go grab a bite to eat. Where would you fly to and where where would you be eating?
00;59;26;25 - 00;59;54;21
Unknown
Very, very good question, Bobby. I actually got a chance to fly like, a two days ago. Yeah, yeah, I, I flow here. There's a airport called the Republic Airport. It's a one hour away from Manhattan. From the from the city. So I, we took off like 10:00 in the evening, and then we fly, we flew around the coastline and then see the entire city.
00;59;54;23 - 01;00;14;01
Unknown
I think New York City is very it's a it's it's very cool. I mean, yeah, in terms of actually, yeah. Especially in a plane like that where you have you don't have to go super high. You have a lot of maneuverability. That's pretty awesome. Yeah. We were like walked all the feet and that's yeah, we really like flying.
01;00;14;03 - 01;00;34;05
Unknown
Like you're lower than some of those buildings. Yeah. I mean, these buildings, some buildings are even higher. Taller. I mean, what the new what the what the Freedom Tower is, like 17, 76ft. They made it like. Yeah, it was super cool. I, but it was like a dream, honestly. It was like I couldn't because it's so fast, you know?
01;00;34;12 - 01;01;01;10
Unknown
Exactly. The city is pretty, like, congested. So really, around the city, it's like maybe only ten minutes. It's like a movie or a dream or just that. It's like it's not real. It's just that. Yeah, but it was definitely a great experience. Yeah. That's cool. That's really that's really awesome. All right, last question. What's the scariest thing that's happened while you've been flying?
01;01;01;12 - 01;01;42;09
Unknown
Thanks for asking, John. I will say if you ask every single pilot, they will probably give you the similar answers. So, actually pilot a lot of pilots, they afraid. They're afraid of heights. You probably. Yes. Yeah. Like when especially like I sometimes when I fly some commercials, I'm very like. I'm very afraid. Anxious. Yeah. Yeah. Because when, when these aircraft they like, they're flying over the cities and they don't get land, I, I know what's happening.
01;01;42;11 - 01;02;03;22
Unknown
I know what's happening. Like, why is this aircraft is like a circling circling like for like ten different circles and just I know what's happening. And I was like, I always just pray like, hey, let's get ourselves man, or I want to be. You're doing the math on how much fuel it's consuming and how long you've been in the fight.
01;02;03;23 - 01;02;26;03
Unknown
Yeah, I'm always pray like if that's happening. Yes. Yeah, ignorance is definitely bliss when it comes to flying. We know too much. Yeah, yeah. Actually haven't had him on the podcast yet. But there was a guy I got I think I brought him into the Collider office John Kostov with paradigm but paradigm. Oh yeah. Yeah. But he was a aeronautics engineer I think he worked at even at some.
01;02;26;11 - 01;02;53;07
Unknown
But like he didn't fly from he was actually late to the happy hour that we hosted because his, his partner was willing to fly on a 737 directly from San Francisco to Houston. But he would not because he was just knew too much or was too worried about it. And like, he took a a flight from San Francisco that went to LA and then came to Houston, took the connector just so he didn't have to fly on the 737 Max.
01;02;53;10 - 01;03;06;19
Unknown
And it's just like I'm like, well, it's probably there's a 99.9% chance it's going to be okay, people. Yeah. But if you know about that point 1% chance, you're like,
01;03;06;21 - 01;03;38;24
Unknown
That's funny. That's a good one. Well, because even like, I mean, I mean, the unfortunate stuff that happened with Adam Robinson and his family like, this past week, but like, I've been reading some accounts and some people talking about how like, hard of of plane that the Learjet 60 is to fly and like, you know, there's very like it's a very difficult, plane to fly with like some if you fly over a storm like they did, you know, certain things like that, it's very fragile, as if you will like if you're if you don't do things just the right way, you can get in a bad spot really quick.
01;03;39;00 - 01;03;58;06
Unknown
I'm like, okay, I don't fly on any private jets. But that's why, like, you know, then you said the last night and I was like, I that's the first time looking at is what kind of plane is this. Yeah, I, I feel more scared on a smaller turboprop or prop or even a jet than I do on a commercial flight.
01;03;58;06 - 01;04;21;06
Unknown
But that's just because you feel it more, right. You feel every piece of yeah, but it's yeah, that's that's cool stuff. Ryan. Where can, where can people get in touch with you guys or reach out if they're interested in learning more? Where. Yeah, yeah, we're going to find you can find me on LinkedIn or email, I think.
01;04;21;09 - 01;04;46;16
Unknown
Yeah, my email just to Ryan at our company's name right at the Fereydun. Com or I mean, I'm, I'm pretty active on things, so yeah. Yeah. Especially, you know, the enterprise, clients or companies, they're, they're, they're a big only thing. So for sure. Cool. Awesome, man. Well, Ryan, thank you so much for. Thank you. Thank you Bob jumping on with us today.
01;04;46;19 - 01;05;07;29
Unknown
We really appreciate the time. Next time you're down in Houston, please give us a shout. Swing by. We'll we'll hang out. We'll take you to some good barbecue while you're down here. Thank you. Yeah, we are actually thinking about, we are going to open up an office either in Houston or Austin, so stay tuned. Yeah. Houston.
01;05;08;01 - 01;05;27;28
Unknown
It'll be a lot cheaper in Houston. But, I mean, like, this might be really good. Really good. I mean, what are some of the different co-working spaces? There's there's the one green Ton. What's escaping you now? What's the one that's called Green something or Green Town Iron. There's a bunch of Houston energy incubator type office places down here.
01;05;27;28 - 01;05;49;27
Unknown
I'm sure Austin has some, but, as well. But they're not as good as Houston because Houston's Houston's the energy capital of the world. Yeah. All right I think that that's it guys. We appreciate it. If y'all, like what we're doing here, especially as we come up to our 100th episode, give us a like or a sub and put who you want to see for episode 100 somewhere in the comments.
01;05;49;29 - 01;06;11;15
Unknown
We'll see you all next time. Thanks, guys. Chris. Right. Thanks, man. Thank you. Chris. Right. While some may see them as the crazy ones, we see genius because the people who are crazy enough to think they can change the world are the ones who do goodbye.