Autonomous Trucks: A Cypress Driver Saw One Coming

Autonomous Trucks: A Cypress Driver Saw One Coming
Released 09/30/2026
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Kevin Barritt has been behind the wheel for 30 years. He knows what a truck is supposed to look like rolling down the interstate. So when he spotted something on I-10 in West Texas covered in cameras and sensors and looking nothing like everything else around it, he knew immediately what he was looking at. His first thought was that he was glad he was going in the opposite direction. In Episode 39 of the Cypress Truck Lines Podcast, Kevin sits down with Marcus for one of the most wide-ranging and genuinely fascinating conversations the show has produced, a deep dive into autonomous truck technology from the perspective of a professional driver who has watched it evolve for years, seen the early versions, watched the technology already inside his own truck make decisions he might not have made himself, and now watched the next chapter roll past him on the interstate. This is not a conversation about whether autonomous trucks are coming. They are already here. The real question is whether we are ready to share the road with them, what the technology can and cannot do, and what happens to the 3.5 million professional drivers in America when it does. New episodes drop every Wednesday. Subscribe now and let's start this conversation.

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About This Episode

There are certain things a truck driver expects to see when he looks across the interstate. Another big rig. Another professional behind the wheel. Maybe something a little unusual about the load. But what happens when you look over and something is missing? In Episode 39 of the Cypress Truck Lines Podcast Marcus sits down with Cypress driver and CTC instructor Kevin Barritt after Kevin spotted an autonomous truck rolling down I-10 in West Texas covered in cameras, sensors, and equipment that made it look unlike anything else on the highway. Kevin knew what he was looking at immediately. His first thought was that he was glad he was going in the opposite direction. This episode is a wide-ranging and genuinely fascinating conversation between a 30-year professional driver and a podcast host with a pocket full of opinions about what autonomous technology means for the people who make their living behind the wheel. They do not have all the answers. But they are asking all the right questions.

EPISODE HIGHLIGHTS

I'm glad I'm going in the opposite direction: Kevin's immediate reaction when he spotted the autonomous truck on I-10 in West Texas is the line that opens the episode and the one Marcus keeps coming back to throughout. Not because it is dismissive of the technology but because it captures exactly what a 30-year professional driver feels when the future finally shows up in the lane next to them. It is not fear. It is the honest reaction of someone who understands better than most people what it actually takes to drive a truck safely and who is not yet convinced that a machine can replicate all of it.

Can you teach a machine to recognize the car that is about to do something stupid: Kevin's central question for the episode is one that Marcus says nobody at any trucking company or technology firm has fully answered yet. Driving a truck is not just about staying between two white lines. It is about recognizing the car drifting in the next lane before it drifts. It is about knowing when something does not feel quite right even when all the instruments say everything is fine. It is about making a decision nobody could have predicted you would need to make five seconds earlier. The technology can handle the predictable. The question is whether it can handle the unpredictable.

The companies are currently testing autonomous trucks: Marcus does the research and Kevin adds the driver's perspective as they walk through the major players in autonomous trucking right now. Kodiak Robotics, which Kevin spotted on I-10, is running fully driverless operations on select Texas routes. Aurora Innovation is operating commercially on Texas highways. Waymo via Via is expanding its driverless freight network. Plus AI is integrating copilot technology into existing trucks rather than building entirely new platforms. Each company represents a different approach to the same problem and Marcus breaks down what distinguishes them, what routes they are currently running, and what each one claims about their safety record.

93% safe, but who is doing the measuring: Marcus raises one of the most important and underappreciated points of the entire episode when discussing Kodiak's safety claims. Kodiak describes its long-haul safety case as 93% complete as of late 2026. But the important caveat is that this is Kodiak's own internal autonomy readiness measure — not a government certification, not an independent audit, not a regulatory approval. It is a company evaluating its own work and announcing the result. Marcus says directly that you cannot have the self-policing of an entrepreneurial endeavor and expect them not to gloss over a few issues. Until a government body has reviewed and certified the technology as safe, fully autonomous driverless trucks replacing human drivers is not something Marcus believes is imminent regardless of what any company says about its own safety data.

The one thing the machine might actually have over the human: Marcus and Kevin both acknowledge the one genuine advantage autonomous technology has over any human driver regardless of skill, experience, or dedication. It does not get tiring. An autonomous truck can run 24 hours a day seven days a week without fatigue, without a mandatory 10-hour reset, without HOS compliance requirements. From a shipper's perspective that advantage is enormous. From a driver's perspective it is the most uncomfortable part of the entire conversation because it is the one variable that has nothing to do with skill and everything to do with biology and federal law.

Will there be legislation to protect driver jobs: Marcus closes the episode with the question he says he does not have an answer to but cannot stop thinking about. When autonomous technology is finally proven safe and approved for widespread use will there be legislation that limits the operating hours of autonomous trucks to preserve jobs for the 3.5 million professional drivers in America? The economic and political pressure on both sides of that question is enormous. Marcus does not pretend to know how it resolves. He wants to hear from listeners and he is actively looking for an industry expert to come on the podcast and take those questions seriously.

Kevin has 15 years left and feels good about it: Kevin's closing position on his own career is the most grounding moment of the episode. He has about 15 years left behind the wheel. He watched an autonomous truck roll past him on the interstate and his honest assessment is that he feels comfortable working those 15 years out right where he is at Cypress. That is not denial. It is the measured conclusion of someone who has been watching this technology develop for years and understands both what it can do and what it still cannot.

From The Host

"Kevin brought me this episode and I have been trying to find a place for it for a couple of months. I finally stopped trying to fit it into a conventional box and just made the episode. And I am really glad we did because this is the kind of conversation that the trucking industry needs to have out loud more often. Not the hype version where autonomous trucks are five years away and going to replace everyone. Not the dismissal version where it is never going to happen and professional drivers have nothing to worry about. The honest version. Which is that a Cypress driver spotted one of these things rolling down I-10 in West Texas and his first thought was that he was glad he was going the other way. I think that is a pretty reasonable reaction to the future showing up beside you on the highway. And I think we all deserve to be part of this conversation before someone else makes the decisions for us. Send me your thoughts. I mean it."— Marcus Bridges, Host

Transcript

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1 00:00:01,120 --> 00:00:05,800 There are certain things a truck driver expects to see when he looks across the interstate. 2 00:00:06,040 --> 00:00:11,760 Another big rig. Another professional behind the wheel. Maybe something a little unusual about the 3 00:00:11,760 --> 00:00:17,440 truck itself. But what happens when you look over and something is missing? 4 00:00:18,360 --> 00:00:24,320 For decades, we've been told this was coming. Trucks that could see the road, trucks that could 5 00:00:24,320 --> 00:00:31,280 make decisions. Trucks that could eventually drive themselves. It's always sounded like one 6 00:00:31,280 --> 00:00:36,759 of those things that belonged somewhere out in the future. Until Cypress driver Kevin Barritt saw 7 00:00:36,759 --> 00:00:43,480 one out in West Texas running along I-10, something caught his eye. Cameras, 8 00:00:43,480 --> 00:00:48,880 sensors, equipment hanging all over a truck that looked very different from everything else around 9 00:00:48,880 --> 00:00:55,040 it. Kevin knew what he was looking at and his first thought. I'm glad I'm going in the opposite 10 00:00:55,040 --> 00:00:59,770 direction, because when you've spent 30 years behind the wheel, you know something the rest of 11 00:00:59,770 --> 00:01:06,050 us don't. Driving a truck isn't just about staying between two white lines. It's about. Recognizing 12 00:01:06,050 --> 00:01:11,209 the car that's about to do something stupid. It's about knowing when something doesn't feel quite 13 00:01:11,209 --> 00:01:17,369 right. It's making a decision nobody could have predicted you'd have to make five seconds earlier. 14 00:01:17,690 --> 00:01:24,169 And Kevin had a question. Can you teach a machine all of that? Because this 15 00:01:24,169 --> 00:01:30,289 technology isn't science fiction anymore. Kevin has watched it evolve for years. He's seen the 16 00:01:30,290 --> 00:01:35,769 early versions. He's watched the technology already inside his own truck, make decisions, 17 00:01:35,769 --> 00:01:41,569 sometimes decisions he might not have made himself. And now he's watched the next chapter 18 00:01:41,569 --> 00:01:48,529 roll past him on the interstate. So today we're not trying to predict the future. We're asking 19 00:01:48,529 --> 00:01:53,369 a professional driver who's actually seen it coming down the highway. What happens when the 20 00:01:53,369 --> 00:02:00,179 future finally pulls up beside you? And maybe the bigger question. Are we ready to share the 21 00:02:00,180 --> 00:02:05,019 road with it? That's next on the Cypress Truck Lines podcast. 22 00:02:10,220 --> 00:02:14,820 Countdown to the Cypress Truck Lines podcast starts now. 23 00:02:17,139 --> 00:02:24,059 Your number one professional flatbed podcast here to deliver stories, safety updates and company 24 00:02:24,059 --> 00:02:28,819 news directly to your ears. Let's get down to business. 25 00:02:35,100 --> 00:02:40,539 How's the weather out there? Cypress and Sun belt. Welcome into another episode of the Cypress Truck 26 00:02:40,580 --> 00:02:47,379 Lines podcast, episode 39 As It Sits. Thank you all so much for being here today. Actually, 27 00:02:47,380 --> 00:02:53,220 I want to say a huge thank you to everyone that listens to this podcast, because and I gotta get 28 00:02:53,220 --> 00:02:58,429 my little party horn button ready here because this is an exciting one. Uh, over the last week, we 29 00:02:58,470 --> 00:03:04,509 set another record with how many downloads we got over the course, and we're so pumped about it. 30 00:03:04,509 --> 00:03:09,949 Thank you to everyone that is listening to this, downloading it, sharing it with your friends. Your 31 00:03:09,950 --> 00:03:14,630 homework remains the same. Just tell a friend about the Cypress Trunk Lines podcast that's 32 00:03:14,630 --> 00:03:20,110 working. We're seeing you guys listen to it more. We're getting downloads from all over the country. 33 00:03:20,110 --> 00:03:25,789 Uh, we really do appreciate you guys, uh, just listening to this. After all, it is for you. So tell 34 00:03:25,789 --> 00:03:32,030 a friend about the Cypress Truck Lines podcast today and help us grow this thing even bigger. Uh, 35 00:03:32,030 --> 00:03:36,710 episode 39 here is a is a little bit of an interesting one, because we've been trying to put 36 00:03:36,710 --> 00:03:41,189 it together for a couple of months now, and we just haven't really found a place for it. And we 37 00:03:41,230 --> 00:03:47,549 finally found one today. Uh, and you'll hear me give kind of the entire story behind this episode 38 00:03:47,550 --> 00:03:52,549 a little bit later, but tall in the short of it is a driver saw something out on the road that 39 00:03:52,549 --> 00:03:57,559 looked a little bit funny. Figured out what it was. Got in touch with me and said, hey, this might make 40 00:03:57,559 --> 00:04:02,880 a cool podcast episode. That's the gist of it. It doesn't have to be any more complicated than that. 41 00:04:02,880 --> 00:04:07,919 And, uh, every one of you guys is afforded that opportunity as well. If you don't already have my 42 00:04:07,920 --> 00:04:13,399 phone number, like Kevin, the driver that's joining us a little bit later today, uh, did, then you can 43 00:04:13,399 --> 00:04:19,520 always email me by heading over to the website podcast.cypresstruck.com. There is a link right 44 00:04:19,520 --> 00:04:24,960 there on the page that says get in touch or something to that effect. Click it, send me an 45 00:04:24,960 --> 00:04:31,519 email and let's talk about stuff. It doesn't matter what it is, I'm open to listen to and try 46 00:04:31,559 --> 00:04:36,880 to make episodes out of all of it. Now I will say I don't have the final say here. I do have to get 47 00:04:36,880 --> 00:04:42,880 it approved, but that's okay, because, uh, we've been shown, uh, that the, uh, the Penland family and all 48 00:04:42,880 --> 00:04:48,559 of the people working around them are pretty wide open to letting us, uh, letting us move within our 49 00:04:48,560 --> 00:04:52,999 lane here. Uh, and we really appreciate that latitude, because it means that we get to make you 50 00:04:52,999 --> 00:04:58,960 some really awesome content that might not be conventional as far as trucking podcasts are 51 00:04:58,960 --> 00:05:04,159 concerned. Uh, you know, we talk a lot about the nuts and bolts of the job here on this show. And 52 00:05:04,160 --> 00:05:09,320 sometimes we are going to take a little bit of a tangent and talk about something that might have 53 00:05:09,320 --> 00:05:14,839 even a little bit of a science fiction bit to it. Um, I don't know that it's fiction anymore. It's 54 00:05:14,839 --> 00:05:20,959 definitely science. Uh, but it seems like it's here, and we're talking about autonomous trucks. Today, 55 00:05:20,960 --> 00:05:27,799 after Kevin saw one rolling down I-10 out in West Texas. Um, and I'll be honest with you, 56 00:05:27,799 --> 00:05:34,119 I every single time that this comes up in any podcast that I do, I always kind of and I turn a 57 00:05:34,119 --> 00:05:38,959 little bit of a side eye to it. I'm not really sure. I don't really like the idea of taking 58 00:05:38,960 --> 00:05:44,560 drivers out of the trucks, because I got a lot of friends out there that are truck drivers now, and, 59 00:05:44,560 --> 00:05:49,889 uh, I've got a huge soft spot for them. It's one of the greatest groups of people I've ever met. Uh, 60 00:05:49,890 --> 00:05:55,449 guys that would, uh, bend over backwards for you at your, at your behest, give you the shirt off their 61 00:05:55,450 --> 00:06:00,970 back, help you tarp a load, help you strap one down, give you some inside baseball knowledge that 62 00:06:00,970 --> 00:06:06,369 maybe you didn't know that could change your trucking career. Uh, just because you had one 63 00:06:06,369 --> 00:06:12,369 interaction with the guy. I get to have those interactions every single day. And so the driver 64 00:06:12,369 --> 00:06:17,208 is the biggest thing for me here in this entire industry. And I think it is for everybody involved. 65 00:06:17,209 --> 00:06:22,570 I think that if you go to any random fleet down the street and say, what's the most important part 66 00:06:22,570 --> 00:06:27,329 of your business, they will tell you the drivers are the most important part of my business. 67 00:06:27,329 --> 00:06:33,010 Without them, we can't get things from point A to point B, the world shuts down. There's no more 68 00:06:33,010 --> 00:06:39,729 toilet paper at my Kroger and I start to get really upset really fast. So obviously the 69 00:06:39,730 --> 00:06:46,689 driver is a very important part. In fact, the most important part of this entire operation and 70 00:06:46,689 --> 00:06:52,419 here we are talking about removing that part because as I said, we're talking autonomous trucks 71 00:06:52,420 --> 00:06:58,899 today. That means no drivers. And that gets a little eerie to be honest with you. You start to 72 00:06:58,899 --> 00:07:03,540 really worry. You know, here at Cypress, we like to say all the time and you'll hear Kevin say it 73 00:07:03,540 --> 00:07:08,619 here in just a few minutes. We have an obligation to the motoring public. We want everybody home 74 00:07:08,620 --> 00:07:13,819 safely, not just the driver in the Cypress or Sun Belt truck, but every four Wheeler that happens to 75 00:07:13,820 --> 00:07:20,340 share the road with him that day as well, and all the pedestrians and and so on down the line. Can 76 00:07:20,380 --> 00:07:26,819 AI or a computer have that same compassion for the motoring public? I don't know, I'm not smart 77 00:07:26,819 --> 00:07:31,099 enough to tell you that, but we're going to have a conversation about it today. And Kevin and I are 78 00:07:31,100 --> 00:07:37,219 going to talk about a lot of these things. Um, this one is really what I would say is just a cup of 79 00:07:37,219 --> 00:07:42,339 coffee conversation. So if you don't have your cup of coffee filled up yet, or maybe your monster 80 00:07:42,339 --> 00:07:47,869 energy drink or your, uh, your Diet Pepsi, whatever it is that you like, I would say go ahead and top 81 00:07:47,870 --> 00:07:52,670 it off right now. Uh, and if you're driving, of course, don't do that. But if you're stopped, go 82 00:07:52,670 --> 00:07:57,509 ahead and top off the, uh, the coffee right now because you're going to want it for this one. This 83 00:07:57,509 --> 00:08:03,309 is a real fun conversation that, um, gives you a peek behind the curtain of how a driver that's 84 00:08:03,309 --> 00:08:10,189 been with Cypress for 17 years is kind of watching this unfold in front of him. And, uh, 85 00:08:10,189 --> 00:08:14,709 we're going to talk about a lot of different aspects of it. This conversation went a little bit 86 00:08:14,710 --> 00:08:19,069 long. So I'm going to go ahead and clear out of the way right now and get Kevin Barritt in here 87 00:08:19,070 --> 00:08:25,989 to talk to us about the time he saw an autonomous truck cruising down I-10. And, uh, he was kind of 88 00:08:26,029 --> 00:08:27,909 happy that he was in the other lane. 89 00:08:35,630 --> 00:08:40,269 All right. Welcome back in here to the Cypress Truck Lines podcast. We got our driver on the line. 90 00:08:40,270 --> 00:08:45,200 We're going to go to him in just a second. And, uh, I gave you a little bit of a tease here in the 91 00:08:45,200 --> 00:08:50,839 open about what we're going to be talking about today, and I am fascinated by this story. I've been 92 00:08:50,840 --> 00:08:57,399 fascinated by what's been going on in the world of technology, where it meets the transportation 93 00:08:57,400 --> 00:09:02,399 industry. And I think that a lot of you drivers out there have been wondering, when are we going 94 00:09:02,400 --> 00:09:07,640 to see this stuff? When are we going to see maybe a truck without a driver? When are we going to see 95 00:09:08,000 --> 00:09:12,559 trucks that maybe look a little bit different than what we're used to seeing? And we sort of 96 00:09:12,599 --> 00:09:17,718 have an answer for you here today. Let's welcome in Cypress driver Kevin Barritt to the show. Kevin 97 00:09:17,719 --> 00:09:22,280 thanks for joining us again man. Always good to have you here on the show. It's always a pleasure 98 00:09:22,280 --> 00:09:27,239 Marcus. Great. Thanks for having me. Of course. Now this is one that you and I have talked about for 99 00:09:27,239 --> 00:09:33,239 a while. You told me a while back, sent me a text message and said, hey, I saw something a little 100 00:09:33,240 --> 00:09:38,679 funny out here today on the road. Why don't you tell me about what you saw out there? Uh, and, and 101 00:09:38,680 --> 00:09:45,009 how did you kind of figure out what it was. Kevin, just go ahead and walk me through the story. Okay. 102 00:09:45,010 --> 00:09:50,089 I got off my injured reserve there in Jacksonville and CTC. One of my first loads was 103 00:09:50,090 --> 00:09:56,890 off to California and, uh, Cypress. And they're all knowing wisdom decided that the only band trailer 104 00:09:56,890 --> 00:10:01,929 that we were going to take out there was the one that was branded with our, uh, hiring logo on it. Uh 105 00:10:01,929 --> 00:10:08,089 huh. So I was sticking out myself just because I'm driving down, you know, a flatbed company with a 106 00:10:08,090 --> 00:10:14,529 van, trailer advertising for flatbed flatbed drivers. But it is what it is. And it wasn't in our 107 00:10:14,530 --> 00:10:18,849 hiring zone, which was even funnier. But. Hey, you never know who's going to pick up the phone and 108 00:10:18,849 --> 00:10:24,809 call. Right. That's where the. I talked to, uh, Sierra in recruiting, and she said that they knew when I 109 00:10:24,809 --> 00:10:29,009 was out there because they were getting calls off of that trailer. It actually worked. Oh, I'm sure, 110 00:10:29,010 --> 00:10:34,168 man. Uh, well, I've seen it. I listen, I know that, uh, maybe because you were on a little bit of an 111 00:10:34,169 --> 00:10:37,928 injured reserve, you felt like it was a bit of a scarlet letter. But that's a beautiful looking 112 00:10:37,929 --> 00:10:44,019 trailer. Yep, that's one of their rap crew. I think they have two of them, if I'm not mistaken. I know 113 00:10:44,419 --> 00:10:50,459 I was all excited about it, but I'm getting off topic here. But yeah, that's I mean, when you're 114 00:10:50,499 --> 00:10:56,259 when you're driving on the road as many hours as, you know, myself does. And most of us, most of us 115 00:10:56,259 --> 00:11:01,859 here at Cypress thing, you know, you're looking at other trucks as you're going down the road and 116 00:11:01,859 --> 00:11:07,819 you can see, you know, different companies than different trucks. And you did this stuff and see 117 00:11:07,820 --> 00:11:14,739 out here is amazing. And I was out. Well, I was where I was, well west of uh, San Antonio. I 118 00:11:14,739 --> 00:11:21,659 had San Antonio, Texas, and I got, I got quite the El Paso yet. So I was way out there in the middle 119 00:11:21,659 --> 00:11:28,658 of nowhere, Texas. And I was I was headed west and, uh, you know, I coming back, 120 00:11:28,700 --> 00:11:35,259 I said it east, and I just I looked over the westbound lanes and I looked over and I see this 121 00:11:35,260 --> 00:11:42,149 truck, and it's got all kinds of stuff on it, and I already knew what the stuff was. They had sensors 122 00:11:42,150 --> 00:11:47,069 all over the mirrors and the bumpers and everything, and it was one of those fancy, uh, 123 00:11:47,070 --> 00:11:51,749 self-driving trucks that they're running out there because they're wanting to run freight and 124 00:11:51,749 --> 00:11:56,990 try it out out there where traffic is in Italy, and it's pretty much straight road. Yeah, but yeah, 125 00:11:56,990 --> 00:12:03,669 it was one of those autonomous trucks. Man. And it was going the opposite direction. So I couldn't, 126 00:12:03,710 --> 00:12:08,030 you know, I didn't get a good look at it, but it did catch my eye just because of all the extra 127 00:12:08,030 --> 00:12:14,349 stuff that was on that truck was just, was just radical. So it had what you would call an 128 00:12:14,349 --> 00:12:19,870 overwhelming amount of extra stuff on the outside that was very visible to you as, as just a guy 129 00:12:19,870 --> 00:12:25,869 that's seen, you know, hundreds and thousands of these trucks. Yeah. I mean, I mean, we sit we sit and 130 00:12:25,869 --> 00:12:31,190 stare at these trucks all day long, you know, and even even our trucks at Cypress, you know, now that 131 00:12:31,190 --> 00:12:36,949 we got the mirror. Right. Mhm. And, you know, at least once, Once a week I get someone come up and say, 132 00:12:36,950 --> 00:12:41,509 hey man, I see those things on top of your truck. What is that? That's a Daily Mirror, right? Cameras, 133 00:12:41,549 --> 00:12:47,029 you know. So drivers notice that when there's extra stuff on the truck, it kind of sticks out. 134 00:12:47,070 --> 00:12:53,868 Sure, sure. So, I mean, that probably was a bit of a I, you know, I don't want to say 135 00:12:53,869 --> 00:12:58,149 shocking. I don't know if you were you were shocked. Obviously we know this has been coming. We 136 00:12:58,150 --> 00:13:03,349 know that they've been testing these things. It's just probably a little bit of a jolt to see it 137 00:13:03,349 --> 00:13:08,190 out there on the road. What was going through your mind when you first saw it? Were you thinking, get 138 00:13:08,190 --> 00:13:12,309 that thing off the road? Or were you thinking, man, I'd like to get up close to that thing and really 139 00:13:12,310 --> 00:13:17,029 take a look at it. First thing it went through my mind was I was like, yeah, glad I'm going the 140 00:13:17,030 --> 00:13:23,869 opposite direction. I don't I still don't know quite yet 141 00:13:23,870 --> 00:13:28,949 how I feel about, you know, something driving itself. You know, even in automobile, you know, 142 00:13:29,270 --> 00:13:34,599 something as small as an automobile. And then, you know, I've been I've been driving for 30 years, so, 143 00:13:34,640 --> 00:13:41,319 I mean, I couldn't imagine. Somebody's behind the wheel or something this big and heavy. Yeah, it 144 00:13:41,319 --> 00:13:47,320 blows my mind. Well, you sent me an article, Kevin, this morning that I kind of want to read a few 145 00:13:47,320 --> 00:13:53,719 excerpts from, um, this this article concerns Atlas trucks, and it has what they call 146 00:13:53,719 --> 00:14:00,639 Kodiak powered trucks. Um, and now, this is probably not the company that you actually saw, because 147 00:14:00,640 --> 00:14:07,359 this company, it says, is intending to start public road testing, um, in 2027. But 148 00:14:07,360 --> 00:14:11,719 this rig was definitely the one that you saw was definitely on a public road. It might not have 149 00:14:11,719 --> 00:14:17,239 been the busiest road, but it was definitely a public one. Correct. So it was a straight it was an 150 00:14:17,880 --> 00:14:24,680 interstate Highway one. Uh, it was I pulled. I-10, right. So not not only a public road, but a very 151 00:14:24,680 --> 00:14:30,239 popular and well frequented public road that runs, uh, east to west across the United States, if I'm 152 00:14:30,239 --> 00:14:35,410 not mistaken. And that one, uh, ten goes from California. Uh, where does where does it end? On the 153 00:14:35,450 --> 00:14:41,409 on the east side. Kevin, do you know. What's that? I can. Yeah. Uh, 154 00:14:42,409 --> 00:14:48,890 I can actually ends in California. Okay. There you go. So soon? Well, actually, Carrie goes, I think I 155 00:14:48,890 --> 00:14:54,489 can. Goes all the way to San Diego. Wow. When I went out there, I got up. I got off on eight. I didn't 156 00:14:54,490 --> 00:15:00,009 quite go all the way out to San Diego, so. Okay. I took I, I basically took I-10 from Jacksonville 157 00:15:00,009 --> 00:15:06,690 all the way out to, uh, I took the, uh, I-10 from Jacksonville all the way to California. Wow. It was 158 00:15:06,690 --> 00:15:11,169 just a straight shot. Wow. And so that's that's a really big interstate highway to see something 159 00:15:11,169 --> 00:15:17,129 like this on. And and now, not all of these places are publicly testing yet. As I said, this article 160 00:15:17,130 --> 00:15:24,009 that you sent me, um, this company, Atlas says as of March 31st this year, its autonomous 161 00:15:24,009 --> 00:15:30,899 fleet included 28 driverless trucks, 15 operating routes, Approximately 7000 loads 162 00:15:30,900 --> 00:15:37,859 delivered more than 450,000 tonnes of sand hauled, and more than 23,500 163 00:15:37,859 --> 00:15:43,979 driverless operating hours in quarter one of 2026. Kevin. That's a lot. 164 00:15:44,020 --> 00:15:50,979 53,000 hour. Excuse me, 23,000 hours is a lot of hours that they've been testing these, uh, 165 00:15:51,020 --> 00:15:55,978 these trucks out there. Now, of course, once again, we want to make sure that, you know, that this 166 00:15:55,979 --> 00:16:01,499 company that this article concerns is only operating on what they call corporate owned roads. 167 00:16:01,499 --> 00:16:08,299 So they built their own roads to test these. And I wonder, Kevin, because my first inclination 168 00:16:08,300 --> 00:16:13,538 here to hear, oh, you built your own roads to test them. Well, there's no way you can fill those roads 169 00:16:13,539 --> 00:16:19,459 up with all of the traffic that you guys are dealing with every single day on a road like I-10. 170 00:16:19,459 --> 00:16:24,418 So what's your thoughts as far? I mean, you read this article, you sent it to me. What are your 171 00:16:24,419 --> 00:16:30,229 thoughts on this this company Atlas kind of testing these things out of the general operating 172 00:16:30,230 --> 00:16:36,909 environment of a truck driver. Uh, on one hand, I mean, yeah, it's great that they're kind of 173 00:16:36,950 --> 00:16:43,509 doing doing in their own lanes. But I mean, you've got like I said, you've got to you've got to get 174 00:16:43,509 --> 00:16:50,309 it in to, to situations because you're going to get, you know, as a, as a professional driver, 175 00:16:51,509 --> 00:16:56,789 you know, that for as long as I've been doing it, you know, I, I can't predict what that car in front 176 00:16:56,790 --> 00:17:03,629 of me is going to do. I can be I can be prepared. And I've been trained to be prepared and watch it. 177 00:17:03,669 --> 00:17:10,588 You know, have have good things. But I mean our trucks now at Cypress we have, have the 178 00:17:10,589 --> 00:17:16,389 Ada system which you know, for car gets we get too close to a car or a car slows down, it starts 179 00:17:16,589 --> 00:17:23,589 beeping at us. And if we get too close it will stop. Mhm. But the system has failed. I mean 180 00:17:23,870 --> 00:17:28,920 I've had, I've had trucks with this company where I've gotten right on the bumper car and that 181 00:17:28,920 --> 00:17:35,799 ended system, not pick it up. Sure. So, you know, and I'm, I'm, you know, paying attention. I slow the 182 00:17:35,800 --> 00:17:42,040 I slow the truck down and I, you know, I prevent the accident. But if I was solely depending on 183 00:17:42,120 --> 00:17:48,680 what sensor to send that car and it failed, what are they going to do when they don't have a 184 00:17:48,680 --> 00:17:55,319 driver in there to, to, uh, you know, abort. Basically, right now 185 00:17:55,359 --> 00:18:00,598 I'm, I'm assuming that, uh, and this would have been hard for you to see, but I'm assuming there's a 186 00:18:00,599 --> 00:18:05,959 driver sitting in that truck just not operating it until he needs to be on some of these testing 187 00:18:05,959 --> 00:18:12,198 routes. But I also know that, uh, before, you know, to awful long, maybe we're looking at 5 or 10 years 188 00:18:12,199 --> 00:18:17,999 in the future here. I don't know, but I do think that there are some companies out there, at least, 189 00:18:17,999 --> 00:18:23,769 that are testing these things as fully autonomous, meaning that there won't be a fail safe driver 190 00:18:23,770 --> 00:18:30,449 sitting in the seat. Um, I would kind of like to see some, uh, maybe even some legislation where, uh, 191 00:18:30,449 --> 00:18:35,929 we need we need a lot of data here, Kevin, before we can put these things out on the road to 192 00:18:35,969 --> 00:18:42,170 operate just Juan, Tom, wherever they want to go. Um, what would you like to see? Would you like to see 193 00:18:42,170 --> 00:18:48,010 an autonomous truck? Always have a driver that can, uh, you know, abort out of the autonomy part of it 194 00:18:48,010 --> 00:18:53,849 and actually take over? And and if so, I kind of have some other questions for you on that, but how 195 00:18:53,850 --> 00:18:58,049 do you feel about it? Do you think that these trucks, when they eventually start running loads 196 00:18:58,050 --> 00:19:01,930 on all of our public highways, do you think that there should be a driver sitting there ready to 197 00:19:01,930 --> 00:19:07,689 take over should something go wrong. As a professional driver and job security? Heck yeah. I 198 00:19:07,689 --> 00:19:13,889 want to drive behind the wheel. You know, I got I got another good, you know, 15 years in me before 199 00:19:13,889 --> 00:19:19,250 I'm ready to retire. I don't want I don't want to lose my job. But if it comes down to it, you know, 200 00:19:19,290 --> 00:19:24,219 especially if Cypress goes, okay, we're going to go. You know, we're going to go, you know, 20 years that. 201 00:19:24,699 --> 00:19:28,698 Okay, we're going to driverless trucks. You mean, what are you gonna do, put me in Jacksonville 202 00:19:28,739 --> 00:19:34,938 behind the computer to watch the walk, to monitor, to help out. What am I going to do for a job? Yeah, 203 00:19:34,979 --> 00:19:38,739 you're going to be sitting there playing video games all day as what it's gonna feel like, right? 204 00:19:38,740 --> 00:19:45,698 Just American trucking simulator. Exactly. Well. Yeah, I would I would much rather see 205 00:19:45,699 --> 00:19:51,899 somebody there to, you know, as a Ferrell's face. But from articles that I've read and, and research 206 00:19:51,900 --> 00:19:58,659 that I've done, some of your bigger shipping companies like Fedex, UPS and I think Amazon 207 00:19:59,420 --> 00:20:06,259 are like like in town, very short, short run things that they're running fully autonomous with, like a 208 00:20:06,260 --> 00:20:11,019 backup, like an office. Like I was just saying, you know, they got somebody watching it on, on a 209 00:20:11,019 --> 00:20:16,420 computer, but I think I've seen reports that where they are actually they are actually running some 210 00:20:16,420 --> 00:20:23,108 without drivers in the trucks, but it's very low traffic area. Yeah, stuff like that. Right, right. 211 00:20:23,149 --> 00:20:28,069 But let me ask you this just from a guy. I mean, you've got a lot of miles under your belt. A lot 212 00:20:28,069 --> 00:20:34,108 of experience out there. Uh, Kevin, would you trust one of those? Let's say let's talk about the short 213 00:20:34,109 --> 00:20:38,989 haul ones. Let's say, you know, you got a UPS truck that. Yeah, it's brown, but it looks a little bit 214 00:20:38,990 --> 00:20:42,829 different than the one you've seen before. And all of a sudden you realize, hey, there's not a driver 215 00:20:42,829 --> 00:20:48,150 behind the wheel of that thing. And, uh, you're kind of out there in traffic with it. How do you how 216 00:20:48,150 --> 00:20:54,789 much do you trust that thing? It's like I said, it's it's electronics that can fail. 217 00:20:54,990 --> 00:21:00,030 Yeah. I mean, like like you were saying. I mean, they've really got to do their research. They 218 00:21:00,030 --> 00:21:07,029 really got to have this thing, you know, almost foolproof. Foolproof. I mean, even even a driver 219 00:21:07,030 --> 00:21:13,670 that's been driving for 30 years can have an accident. Yep. Yeah. So, I mean, it's going to happen. 220 00:21:14,829 --> 00:21:21,149 It's just, you know, at what point? I mean, of course, the, you know, the company is going to get lawsuits 221 00:21:21,349 --> 00:21:28,349 like there's a major accident and there's going to be it's going to be hard to explain to the to 222 00:21:28,350 --> 00:21:32,030 the families that, oh, yeah, you know, we put a truck out there and didn't have a driver in there. And 223 00:21:32,030 --> 00:21:36,829 real sorry it ran over your it ran over your grandma, you know, he'll go into the grocery store. 224 00:21:36,990 --> 00:21:42,429 Yeah. Yeah, it can definitely happen. I mean, look, that's a that's a risk with just grandma getting 225 00:21:42,430 --> 00:21:49,109 in her Honda, right? I mean, it's it is part of what we all assume as, as general risk and jump in our 226 00:21:49,109 --> 00:21:53,988 rig every single day without really thinking about all of the hazards that present themselves 227 00:21:53,989 --> 00:22:00,949 out there. And, um, just, you know, I, I work on a computer every single day of the week, 228 00:22:00,949 --> 00:22:05,869 um, every day of my life. I sit up here behind this computer. It's an impressive machine. It's got a 229 00:22:05,869 --> 00:22:11,349 lot of processing power. I'm able to, uh, record stuff like this live and have it uploaded in 230 00:22:11,350 --> 00:22:17,839 seconds afterwards so that my editor can get his hands on it. It really does impress me. Would I 231 00:22:17,839 --> 00:22:24,359 trust it if you put it in the driver's seat of my Chevy Silverado? Probably not, because guess what? 232 00:22:24,399 --> 00:22:29,639 Uh, Kevin, you've probably even been here with me when all of a sudden everything goes quiet. Is it 233 00:22:29,639 --> 00:22:35,840 a power outage? Did my computer crash? We don't know, but something happened, and it was, uh. It 234 00:22:35,840 --> 00:22:40,439 affected the entire process. And I think that's one of the things that concerns me a little bit 235 00:22:40,439 --> 00:22:46,879 is. Yeah. Is is this AI stuff that's that we're seeing, you know, grow kind of exponentially right 236 00:22:46,880 --> 00:22:53,639 now. Um, can it actually replicate the human, um, experience and 237 00:22:53,680 --> 00:23:00,640 the, I guess, the all of that knowledge that you gain by doing all of the trips that 238 00:23:00,640 --> 00:23:05,720 you've done and seeing everything that you've done. Kevin, I like to think of a truck driver as a 239 00:23:05,720 --> 00:23:10,559 guy that if you're watching traffic and you're you're focused, you know, maybe a car or two ahead 240 00:23:10,560 --> 00:23:17,050 of you like you normally are, You have instincts that are ready to predict. If you see some 241 00:23:17,050 --> 00:23:22,929 behavior, like maybe when the guy passed you, you saw that he was on his phone. Maybe you saw him 242 00:23:22,930 --> 00:23:27,370 weaving in and out of traffic from way back, and you've been keeping your eye on him all the way 243 00:23:27,370 --> 00:23:34,329 up. Can an autonomous truck do that? Can an autonomous truck build the same type of knowledge 244 00:23:34,329 --> 00:23:40,490 and response time and reaction time that a driver like you have? I'll tell you my opinion, Kevin. I 245 00:23:40,490 --> 00:23:46,049 think that that's that's way down the road. Maybe eventually I'm not smart enough to tell you 246 00:23:46,050 --> 00:23:51,249 whether or not the computers can actually make it happen. But I think based on my experience with 247 00:23:51,250 --> 00:23:58,049 technology in right here in 2026, that maybe we're still a little bit behind that, because just the 248 00:23:58,050 --> 00:24:03,689 other day I recorded a piece of audio and I clicked save and all my screens went black. And I 249 00:24:03,689 --> 00:24:09,769 had I had to do that all over again. I lost everything, Kevin and I, I see something like that. 250 00:24:09,769 --> 00:24:14,818 And I think, well, that's a pretty simple thing. Like, why did that happen? And what happens if that 251 00:24:14,819 --> 00:24:21,379 happens when you're doing 65 miles an hour down the highway and, you know, high congestion there 252 00:24:21,379 --> 00:24:27,179 talking about these trucks, uh, this article that you sent me fully loaded, we're talking 135 tons 253 00:24:27,219 --> 00:24:33,900 of sand here. That's a really, really heavy rig. Yeah. And it says it's pulling triple trailers. I 254 00:24:33,900 --> 00:24:39,339 mean, you don't even hardly see that on the road now. Right now they're going to want to. Not only 255 00:24:39,339 --> 00:24:43,500 are they going to take the driver out of the truck, they're going to add 1 to 2 extra trailers 256 00:24:43,500 --> 00:24:50,299 to the truck. So I was like, well, you're you're almost doubling the weight that that 257 00:24:50,300 --> 00:24:56,179 I haul. Right? Which is eerily similar to the way that that Tesla came on the market. You know, 258 00:24:56,219 --> 00:25:01,458 because, uh, that was one concern about the Teslas and the kind of the auto driving function in that 259 00:25:01,459 --> 00:25:08,060 is that. Hey, man, uh, these things are like three times heavier than a normal sedan. 260 00:25:08,180 --> 00:25:12,669 What's going to happen when this thing goes careening off at 70 miles an hour in the auto? The 261 00:25:12,670 --> 00:25:17,909 auto brake doesn't work, and it hits something. And look, it's happened, Kevin. We've seen stories about 262 00:25:17,910 --> 00:25:23,949 it happen. And those wrecks. When a Tesla gets into them at high speed, they're ugly. I was on Facebook 263 00:25:23,990 --> 00:25:30,949 and I saw, you know, a lot of these, uh, major cities. I don't know if Oregon's this up 264 00:25:30,949 --> 00:25:36,989 to date yet or not, but, uh, I know Orlando and Tampa and I don't know about Jacksonville, but 265 00:25:37,030 --> 00:25:43,869 Orlando, Tampa and Miami now have self-driving taxis. Yeah. The, uh. The. The Waymo. 266 00:25:43,909 --> 00:25:48,269 Get in the car and there's yeah, you get in the car and there's no drivers. It's just a car 267 00:25:48,269 --> 00:25:54,869 driving. Yep. And this got this video of this, you know, this self-driving taxi was going down the 268 00:25:54,869 --> 00:26:00,189 road and a car was coming out of a shopping center. And it didn't pull out in front of the 269 00:26:00,189 --> 00:26:07,109 taxi, but he his bumper was out in the road and the taxi didn't, didn't catch the guy's bumper 270 00:26:07,119 --> 00:26:13,039 sticking out, and he sideswiped the guy's bumper. Yeah, I'm sure ripped that bumper clean off, too. No, 271 00:26:13,040 --> 00:26:17,719 it just kind of bounced off of it. But, you know, the video played on a little bit and the car 272 00:26:17,720 --> 00:26:23,639 didn't. The self-driving car didn't stop. Oh, wow. The article the article said that it eventually 273 00:26:23,640 --> 00:26:28,639 had stopped like a block or two down the road after it realized something was wrong. But, you 274 00:26:28,640 --> 00:26:34,719 know, the guy creeped out of the parking lot. The taxi come by and then clipped it and kept going. 275 00:26:34,759 --> 00:26:39,279 And then it stopped. But, you know, I mean, what would have happened would have been something a 276 00:26:39,280 --> 00:26:44,719 little bit major in that taxi. Just kept on going, right. What if it was a motorcycle or something 277 00:26:44,719 --> 00:26:49,439 like that that poked its front wheel out, or a or a pedestrian or something like that, that it 278 00:26:49,439 --> 00:26:54,239 bumped? I mean, you're talking about what would equate a felony for you and I, Kevin, that's 279 00:26:54,239 --> 00:27:00,239 leaving the scene of an accident. That's a really big deal. Exactly. I said the taxi had no 280 00:27:00,239 --> 00:27:06,529 immediately hit it because eventually the car it didn't automatically. Right as soon as they 281 00:27:07,089 --> 00:27:12,649 had made contact with something, which is kind of kind of gets me thinking, too. You know what you 282 00:27:12,650 --> 00:27:17,810 know. That's that's not good there. You know, one of the things that gives me pause about this 283 00:27:17,810 --> 00:27:22,529 technology to begin with is, you know, the I think the very first city that they rolled those 284 00:27:22,529 --> 00:27:28,328 self-driving taxis out in with San Francisco, if I'm not mistaken. Um, somewhere out of California. 285 00:27:28,770 --> 00:27:33,930 Of course. Right. I mean, we could have we could have bet that that was going to happen. Um, but I 286 00:27:34,010 --> 00:27:40,449 saw a video where people were living in, like, a high rise apartment building, and the Waymo 287 00:27:40,449 --> 00:27:45,650 parking lot was right next to their apartment building, and it was like three in the morning, and 288 00:27:45,650 --> 00:27:50,929 they're videotaping. All of these cabs are trying to come back and park themselves for the night. 289 00:27:50,930 --> 00:27:56,329 And they got into like a traffic jam in the parking lot. And the way, the way that they 290 00:27:56,370 --> 00:28:02,649 communicate with each other, Kevin, is to blow their horn. So it was just like 40 or 50 of these 291 00:28:02,699 --> 00:28:08,779 self-driving taxicabs in a traffic jam in a parking lot, just honking at each other at like 292 00:28:08,779 --> 00:28:13,859 three in the morning. And I'm sitting here thinking like, okay, if we can't get them parked 293 00:28:13,899 --> 00:28:19,779 where they're supposed to be parked when they're supposed to be parked there, we got a problem, 294 00:28:19,819 --> 00:28:24,379 right? Because how are you gonna how are you going to trust it? To pull up to a dock and get 295 00:28:24,380 --> 00:28:30,300 successfully and safely unloaded if we can't even trust them to pull into a parking lot and get 296 00:28:30,300 --> 00:28:37,060 parked at this point in time. Seems like maybe we're not quite there yet. Kevin. Yeah, yep. And as 297 00:28:37,060 --> 00:28:43,659 far as as you know, the timeline for the for this to happen was back when, uh, 298 00:28:44,180 --> 00:28:50,818 you know, my family knows I'm a drive truck for a living and I think probably, I don't know, early 299 00:28:50,819 --> 00:28:56,579 2000, they said, you know, you know what? What if they ever come up with a self-driving truck, you 300 00:28:56,579 --> 00:29:01,539 know, back in the, oh, in 2000, you're like, that's that's not going to happen in my lifetime. You 301 00:29:01,539 --> 00:29:07,819 know I'm never going to see that, right? That was science fiction back then. In 302 00:29:08,299 --> 00:29:13,858 2005, I was worried. You know, I was working for a local company, for a rigging company, and we we 303 00:29:13,859 --> 00:29:20,378 were working. We were setting this plant up. Do you ever get those, uh, big packets in the mail that 304 00:29:20,379 --> 00:29:26,499 are stuffed full of coupons for, like, local businesses? They called mail pack. Oh, more than I 305 00:29:26,499 --> 00:29:33,259 care to admit. Well, they were setting one up in Saint Petersburg, Florida, and my 306 00:29:33,259 --> 00:29:38,339 company got the contract to set the machines up. Well, while we were setting the machine up, this 307 00:29:38,340 --> 00:29:45,339 was going to be a fully autonomous plant that that had this big office up on like a second 308 00:29:45,339 --> 00:29:51,019 floor full of windows where all the techs would sit, but the whole plant was going to be run, you 309 00:29:51,020 --> 00:29:56,019 know, autonomously. You know, the, the, the machine was going to stuff the envelopes, was going to 310 00:29:56,060 --> 00:30:00,750 pack the envelopes and boxes, and then they were set. While we were setting the machines, they had 311 00:30:00,750 --> 00:30:07,709 this Japanese company come in and they were setting, uh, forklifts up, which were all robotic. 312 00:30:07,749 --> 00:30:13,469 Wow. And they had when they poured the the foundation of the building, they'd set these 313 00:30:13,470 --> 00:30:18,149 tracks down, these metal tracks down and around that they were. But they had to have these 314 00:30:18,150 --> 00:30:24,389 Japanese techs go around with them like an iPad. And they were teaching the forklift the route 315 00:30:24,629 --> 00:30:29,590 that they were supposed to go. Um, you know, same thing. You know, what's going to happen, you know, 316 00:30:29,629 --> 00:30:34,229 further down the line, you know, this is, you know, five years down the road from when I had that 317 00:30:34,229 --> 00:30:40,030 conversation about self-driving trucks. Right. Then you got now we got these Japanese guys over here 318 00:30:40,030 --> 00:30:45,869 programing these forklifts to run themselves, the load trucks and stack pallets. But they had to 319 00:30:45,869 --> 00:30:52,029 have somebody, you know, teach the thing the routes to go right. And then, you know, we were setting 320 00:30:52,029 --> 00:30:57,318 machines up. So we were told, you know, not to get in the way of the way of the forklift because 321 00:30:57,319 --> 00:31:02,159 they haven't said all the things up there to where something got in the way that they would 322 00:31:02,159 --> 00:31:07,880 stop, they would run us over. So we had to stay off. We had to stay out of the way of the of these 323 00:31:07,880 --> 00:31:12,759 programmers, because they couldn't guarantee that they were going to stop them before they hit us. 324 00:31:12,799 --> 00:31:19,799 Wow. That's you know, that's that. And then, uh, after that, I'd say probably 325 00:31:20,800 --> 00:31:27,399 2000. And I want to say probably about 2012, I was at a truck stop in 326 00:31:27,399 --> 00:31:34,120 Sweetwater, Texas, and I was walking up to their truck stop, and I seen this, 327 00:31:34,159 --> 00:31:40,919 this truck out there. And like I said, it had all these cameras and sensors and everything all over 328 00:31:40,920 --> 00:31:47,159 this truck. I'm like, what in God's name is on that truck? You know, I thought Vipers, you know, was, uh, 329 00:31:47,160 --> 00:31:53,639 camera happy. But this company is really, really getting really getting out of hand. So I had to 330 00:31:53,639 --> 00:31:58,329 stop the driver and I says, what in the heck is all over that truck? He says, yeah, we're testing 331 00:31:58,329 --> 00:32:04,568 out the autonomous truck. Those are sensors and cameras that teach the truck where to go. 332 00:32:05,490 --> 00:32:12,410 So, I mean, it's from early 2000 to mid 2000. We're up to testing self-driving 333 00:32:12,449 --> 00:32:18,529 trucks. So our 2026, they're still working on it. Where are we going to be in 334 00:32:19,249 --> 00:32:25,290 2035? You know. Right, right. And I think what you're describing there is kind of the exponential 335 00:32:25,290 --> 00:32:31,129 advancement of technology, right. We you had a conversation. Let's let's call it the year 2000. 336 00:32:31,169 --> 00:32:35,528 We're celebrating the new millennium. The ball's just dropped and somebody brings up autonomous 337 00:32:35,529 --> 00:32:41,369 trucks. And we laugh at it like it's back to the future. And then five years later, you're in a 338 00:32:41,370 --> 00:32:47,889 factory that's basically running. It's running itself. And then, you know, only seven short years 339 00:32:47,890 --> 00:32:52,409 after that, we've got an autonomous truck out on the road testing that you've actually seen and 340 00:32:52,409 --> 00:32:57,339 talked to the guy, and now all of a sudden we're talking about entire fleets. We're talking about 341 00:32:57,339 --> 00:33:03,699 private roads. Um, I guess, Kevin, one thing I will say is hearing that you saw that truck all the 342 00:33:03,699 --> 00:33:09,979 way back in 2012 makes me feel a little bit better, because it does mean that at least some 343 00:33:09,979 --> 00:33:15,339 companies have been testing this for a very long time. And I think that's what I would like to see. 344 00:33:15,379 --> 00:33:21,459 Not 2 or 3 years of testing. I want to see 2 or 3 decades of testing. Right. Because we're talking 345 00:33:21,460 --> 00:33:28,339 about human lives here that are at stake. Exactly. Because I said I when I found the truck 346 00:33:28,339 --> 00:33:33,819 and I said, I want to say that that that truck I saw in Texas was the same company I was doing. The 347 00:33:33,819 --> 00:33:39,779 cab was saying Waymo or Waymo or whatever it was. I want to say it was that company that was 348 00:33:39,779 --> 00:33:44,779 written all over the side of the truck and trailer. Interesting. Okay. Well, that's good to know. 349 00:33:44,980 --> 00:33:51,910 So, I mean, I guess I will ask you as far as the 350 00:33:51,950 --> 00:33:56,469 like your your real feelings. Now, of course, we've talked about you've already mentioned it like, 351 00:33:56,510 --> 00:34:01,108 yeah, as a driver, I want the job security of knowing that they're going to need somebody in 352 00:34:01,109 --> 00:34:06,988 this truck. How concerned are you actually about this, Kevin, as we sit here in 2026, based on what 353 00:34:06,989 --> 00:34:13,189 you've seen, the advancements in technology that you know are going on all around you. Um, are you 354 00:34:13,229 --> 00:34:18,189 worried that maybe before you're done driving, you mentioned earlier that you've got about 15 years 355 00:34:18,190 --> 00:34:24,229 left? Um, are you worried that before you're done with those 15 years that that your job might be 356 00:34:24,229 --> 00:34:30,948 at stake? It's a it's in the back of my mind, but I don't worry about it too much because, I mean, 357 00:34:30,990 --> 00:34:36,469 I still I still have my doubts just because I know what it what it takes to run this truck 358 00:34:36,510 --> 00:34:42,350 safely down the road. Mhm. And I just, I mean in my mind I mean I'm no 359 00:34:42,910 --> 00:34:49,759 robotic engineer or nothing, but in my mind I just don't see. I don't see how they can do it. I mean, 360 00:34:49,759 --> 00:34:55,720 I'm not saying that they can't. But, I mean, in the next 15 years. 361 00:34:57,039 --> 00:35:02,600 I mean, it's going to be total. I mean, the 17 years I've been with Cypress, the technology that was in 362 00:35:02,600 --> 00:35:09,599 the truck. So I started and what we have today is a huge difference. So what to say they're going 363 00:35:09,600 --> 00:35:16,600 to have 15 years from now? I can't say. But I mean, I, I know if it comes down to it, I may have to 364 00:35:16,639 --> 00:35:22,918 I may have to go ahead and go out for early retirement, but hopefully the pendulum has 365 00:35:22,919 --> 00:35:27,199 something for me to do after that. But I'm not sure they will. I'm sure they will. You could 366 00:35:27,200 --> 00:35:31,439 always go over there and get a job with Ken, and maybe your job is instead of teaching drivers, 367 00:35:31,440 --> 00:35:35,918 maybe you're just training computers, but who knows, man, that's that's out there in the future, 368 00:35:35,919 --> 00:35:40,879 far enough that we don't have to worry about it every single day, right? Yeah. Well, I could go to a 369 00:35:40,879 --> 00:35:44,959 round of Marc Angel and I can just start dispatching, you know? Yeah. Electronic, you know, 370 00:35:45,000 --> 00:35:50,209 self-driving trucks. There you go, man. He's. He seemed pretty. He seemed happy up there, man. He 371 00:35:50,209 --> 00:35:56,209 seemed like he was ready to come off the road. So good call back there. I forgot about that. Well, 372 00:35:56,249 --> 00:36:01,409 that's a that's a great, uh, great reference there. I got a fun question here. Well, maybe it's not fun. 373 00:36:01,449 --> 00:36:06,809 We'll find out. Uh, I'm gonna. Make it. Fun. Okay? I'm gonna put you in the driver's seat. You're out 374 00:36:06,810 --> 00:36:11,529 there. Let's say you're on I-10. You're familiar with that one. You're making the long haul from 375 00:36:11,530 --> 00:36:18,249 Jacksonville or Tampa all the way to, uh, San Diego. And there's an autonomous truck 376 00:36:18,249 --> 00:36:24,889 running the same route as you. Are you more comfortable having that truck in front of you or 377 00:36:25,090 --> 00:36:32,049 behind you and why? Kevin. Uh, that's a good question. I want to make you think a little 378 00:36:32,090 --> 00:36:37,609 bit on that. Yeah, I have that. Yeah, that one's definitely got me. I'm still thinking on that one, 379 00:36:37,610 --> 00:36:44,329 but yeah, it's, uh. And, you know, think out loud to, uh, you can think your way through it. I would, I 380 00:36:44,329 --> 00:36:50,540 would almost have to say I'd probably rather be in front of it, because that way I could kind of 381 00:36:50,580 --> 00:36:56,459 see what's going on and kind of control my situation. And I mean, if it hits me, it hits me. But 382 00:36:56,659 --> 00:37:03,580 I mean, I don't know. Yeah, it kind of seems like my just, my logical brain would say the same 383 00:37:03,580 --> 00:37:08,099 thing there Kevin is. I want it behind me because I don't want to have to react to it. I would 384 00:37:08,100 --> 00:37:15,099 rather it has to react to me. Yeah, yeah. Well, we gotta we. When I was, uh, 385 00:37:15,620 --> 00:37:22,419 thinking about becoming a trainer, they had before, they were having us go through the, uh, the 386 00:37:22,419 --> 00:37:29,419 Smith system training system. Oh, yeah. And, uh, one of the Cypress's favorite thing was, you 387 00:37:29,419 --> 00:37:35,299 know, don't be a part of their accident, right? You know, be be prepared and just stay. Stay away, you 388 00:37:35,299 --> 00:37:40,219 know, don't don't get involved in their accident. You know, try to try to avoid the situation. So, 389 00:37:40,979 --> 00:37:46,898 yeah, I would probably rather be out front and then behind it. Yeah, that way I have a little bit 390 00:37:46,899 --> 00:37:52,299 more control of what's going on in front of me. Yeah. And I mean, I would think from the driver's 391 00:37:52,300 --> 00:37:58,779 perspective, too. You've got all this experience of reacting to the way that humans work. And 392 00:37:58,780 --> 00:38:04,020 while it's always different and every human is a little bit different, there's still similarities 393 00:38:04,020 --> 00:38:09,379 in the way that they react to certain situations, which allows you to be able to anticipate it, 394 00:38:09,419 --> 00:38:14,899 especially given all the things that you've seen out here. I kind of wonder what is the 395 00:38:14,939 --> 00:38:21,819 anticipation of random events of these trucks? Like, are they able to, um, what what do they do if 396 00:38:21,820 --> 00:38:26,898 somebody that they're driving behind has a heart attack at the wheel? We know that this happens 397 00:38:26,899 --> 00:38:32,018 from time to time. It happens to truck drivers. It happens to four wheelers. Sometimes people have 398 00:38:32,060 --> 00:38:37,100 health events behind the wheel. And I mean, that is that that literally could look like you're 399 00:38:37,100 --> 00:38:41,509 driving. Everybody's fine. And then all of a sudden somebody swerves across three lanes of traffic 400 00:38:41,509 --> 00:38:47,189 and hits the median. How does. How do you respond to that? I know how you respond to that. You guys 401 00:38:47,189 --> 00:38:51,869 always leave yourself an out. You always trying to give yourself enough room. Should something like 402 00:38:51,870 --> 00:38:56,668 that happen that you can slow down and stop and and you can tell a computer that but can it 403 00:38:56,669 --> 00:39:02,629 really think its way through it? Kevin I, I mean, I don't know what are your thoughts? I mean, just 404 00:39:03,469 --> 00:39:09,629 going on, you know, the truck that I drive with the Ada system and if this truck has a steering 405 00:39:09,629 --> 00:39:15,349 assist, it's not as bad as the Freightliner is, but it does. If I start swerving around my lane, I get 406 00:39:15,350 --> 00:39:22,309 resistance on the wheel and it pulls me back into the lane. But I had a I had a situation where a 407 00:39:22,310 --> 00:39:27,749 car in front of me had slowed down but didn't come to us. Well, yeah, he did come to a stop 408 00:39:27,749 --> 00:39:32,590 because he was losing his lane in a construction zone. And I was anticipating that he, you know, 409 00:39:32,629 --> 00:39:38,909 because he was he was coming up on the cones fast. So I'm like, okay, he's going to need to get in my 410 00:39:38,909 --> 00:39:43,799 lane because I'd already seen the sign that said Lane was closing. So I got over and I'm in the 411 00:39:43,800 --> 00:39:50,039 middle lane now because the right lane is closing, but he's not getting over. And then all of a 412 00:39:50,039 --> 00:39:55,039 sudden he freaks out and he turned to get to my lane, and he stops because he doesn't think that 413 00:39:55,039 --> 00:40:00,439 I'm slowing down and let him in. Well, the Ater system sees the truck not moving in front of me, 414 00:40:00,840 --> 00:40:06,679 and my truck pretty much slams on the brakes even though I'm already slowing down. The start slams 415 00:40:06,679 --> 00:40:11,919 on the brakes and the truck comes almost to a stop. I can't release the truck to go until the 416 00:40:11,919 --> 00:40:18,520 truck thinks that the the the problem in front of me is gone. So it took forever for it to recover 417 00:40:18,560 --> 00:40:24,199 and now I have to get back up to speed, right? So I couldn't get over into the to the third lane, so I 418 00:40:24,199 --> 00:40:29,439 had to the one fatal system took over. I had I didn't have control of the braking. The truck was 419 00:40:29,440 --> 00:40:34,638 going, okay, we're stopping and it basically almost came to a stop. I think I got down to like three 420 00:40:34,639 --> 00:40:40,769 miles an hour before it finally released, And by then that that truck had already gone, because I 421 00:40:40,769 --> 00:40:46,810 had come to such a dramatic stop that he went, okay, I can go. So the truck's already gone, and my 422 00:40:46,810 --> 00:40:51,249 truck is still trying to recover from thinking that it was going to hit that truck. Sure. And I'm 423 00:40:51,249 --> 00:40:57,649 sure that registered as a as an aggressive brake too in your system didn't it? Oh yeah. Right. I mean, 424 00:40:57,689 --> 00:41:02,489 once, once they viewed the video I mean I never got a call on it. I didn't even see it on my, uh, 425 00:41:02,769 --> 00:41:08,769 when I got, when I went on the the week later, it wasn't even on there. So he must have seen the 426 00:41:08,769 --> 00:41:15,529 situation, right? Yep. He did everything right. It was gone. Yeah, but. So the truck, I mean, it 427 00:41:15,569 --> 00:41:21,330 it's all it's kind of overreacted to the situation, but it took forever to recover after 428 00:41:21,330 --> 00:41:27,049 that. You know what? What does the traffic do behind an autonomous truck if something like that 429 00:41:27,050 --> 00:41:34,050 happens. Right. Especially this truck is going down the road. It sees it sees an object that it thinks 430 00:41:34,050 --> 00:41:39,059 it's going to hit. So it's going to stop. Well, what if the vehicles behind it don't know what's going 431 00:41:39,060 --> 00:41:43,659 on, you know? All of a sudden, the self-driving truck stops in the middle of the interstate, 432 00:41:43,860 --> 00:41:50,539 especially on 285, which where I was at in Atlanta. That caused. That causes a heck of a traffic jam. 433 00:41:50,580 --> 00:41:56,100 Yeah. It does. Now, you got this, you know, self-driving truck. That is not that. It was in a 434 00:41:56,100 --> 00:42:02,499 situation. Now it's come to a dead stop. So now it's got to reset all its parameters and then 435 00:42:02,500 --> 00:42:09,499 take off again. At 135 tons on the wheel, which is not a very quick acceleration. And 436 00:42:09,499 --> 00:42:15,099 when you're talking about being on a highway like 285. Yeah. The congestion that you could cause just 437 00:42:15,100 --> 00:42:21,340 with that one event. Kevin, uh, is is probably wild. I mean, you talk about the butterfly effect. You 438 00:42:21,340 --> 00:42:27,979 could cause that traffic jam in Atlanta and feel it all the way out in Savannah. I'm sure. Yeah. I 439 00:42:27,979 --> 00:42:33,339 mean, you go all the way up into Tennessee and down the Florida. Yeah, exactly. In Alabama, I mean, 440 00:42:33,340 --> 00:42:39,668 know, all four directions. You know, it would cause a heck of a backup. Yeah, it really would. Well, and 441 00:42:39,669 --> 00:42:45,309 I think that that's like, that's kind of what those of us that are in this industry or adjacent 442 00:42:45,310 --> 00:42:52,109 to the industry, like I am, um, are, are really wanting to see is like practical applications 443 00:42:52,110 --> 00:42:57,069 here because look, it's it's all sunshine and butterflies when everything goes right. And we 444 00:42:57,070 --> 00:43:02,269 know that, uh, yeah, there's some days out there where it all falls into place. Uh, and, and you 445 00:43:02,269 --> 00:43:07,709 don't have anything that you've got to deal with all day long, Kevin. But those days are few and far 446 00:43:07,710 --> 00:43:12,829 between. Just like the days that are, you know, something crazy. And out of this world happens 447 00:43:12,830 --> 00:43:18,189 that you have to deal with. It's it's the randomness of these events that I want to know if 448 00:43:18,189 --> 00:43:23,550 the computer can compete with. Because I've talked to enough truck drivers to know, Kevin, in four 449 00:43:23,550 --> 00:43:29,589 years of doing this job, that even the the randomness can sometimes weigh really heavy on 450 00:43:29,629 --> 00:43:34,840 you guys. Sometimes it's really stressful. A particularly stressful day where people are just 451 00:43:34,840 --> 00:43:39,360 driving out of their minds. They're not giving you room, they're speeding. They're whipping in and out 452 00:43:39,360 --> 00:43:46,359 of traffic. Those days happen, too. So how does a computer compete with that? Well, I get 453 00:43:46,360 --> 00:43:52,439 it. I get in situations which happens more often than not. You know, our trucks are governed at 65 454 00:43:52,479 --> 00:43:58,199 miles an hour. Mhm. So I get a guy in front of me that's like 455 00:43:58,600 --> 00:44:04,359 almost 100% of the time they're on their phone because they'll, we'll be out on the interstate 456 00:44:04,679 --> 00:44:11,599 speed limit 70 and they're doing 58. And I'm you know, I'm coming up. My truck senses that 457 00:44:11,600 --> 00:44:17,679 the cars are for me. So it's slowing me down. Now I'm doing 55. I get an opening to get around them, 458 00:44:17,679 --> 00:44:21,559 so I get over to get around them. They're done messing with their phone at this point. They look 459 00:44:21,600 --> 00:44:25,519 up and they see me in the middle lane trying to get around them. They stomp on it and they go 460 00:44:25,519 --> 00:44:31,969 again. Yep. Oh, now I'm stuck in the middle lane doing 55, they're already back up to 70. 461 00:44:32,490 --> 00:44:37,729 Now everybody's mad at me because I'm holding up traffic. So I get back over in the right lane 462 00:44:37,729 --> 00:44:41,889 where I'm supposed to be, and I'm finally back up to 65 and they're back to messing with their 463 00:44:41,889 --> 00:44:48,169 phone again. Yep, yep. Well what's that? What's that autonomous truck going to do, you know? Sure. 464 00:44:48,809 --> 00:44:55,290 Are they going to just stay at 55. Are they going to maintain 70 and try to get around that car or 465 00:44:55,329 --> 00:45:01,649 you know, that's just how is that going to how is that going to play out? Right. Right. Well I want to 466 00:45:01,649 --> 00:45:07,249 flip this on its head a little bit here, Kevin, because, you know, uh, obviously, you know, where my 467 00:45:07,249 --> 00:45:12,889 allegiance lies. And that is with the human driver. I've met so many of you guys. So many of you have 468 00:45:12,889 --> 00:45:18,290 been gracious with your time and come on to this show and, and, uh, done a fantastic job, yourself 469 00:45:18,290 --> 00:45:24,689 included. And so I've got a real big soft spot in my heart for truck drivers, and I always will. I 470 00:45:24,689 --> 00:45:29,939 think it's a phenomenal group of people that, uh, by and large, the, the, the lion's share of them 471 00:45:29,939 --> 00:45:34,499 would give you the shirt off their back. You guys are always helping each other out. It's a great 472 00:45:34,500 --> 00:45:40,499 group of people at large, is what I've noticed. And so I don't want to see a bunch of people lose 473 00:45:40,500 --> 00:45:46,619 their jobs because trucks are driving themselves now. But I do want to ask you, a very experienced 474 00:45:46,620 --> 00:45:52,939 driver with tons of miles under your belt, you've seen almost all of it. Do you think there is a a 475 00:45:53,139 --> 00:45:59,739 situation or an event where maybe an autonomous truck would have some type of advantage over 476 00:45:59,779 --> 00:46:06,579 a real live human driver? Ram. I told you I had. A good. One. Yeah, I had some good ones 477 00:46:06,580 --> 00:46:13,179 for you today, Kevin. I mean, you know, the one of the biggest problems with, you know, 478 00:46:13,219 --> 00:46:19,060 a person driving a truck is, you know, we do, you know, with the regulations and everything we do 479 00:46:19,100 --> 00:46:26,019 get fatigued. I mean, a self-driving truck won't fall asleep, right? That's a really good truck. A 480 00:46:26,019 --> 00:46:30,979 truck. A self-driving truck doesn't have to take a 30 minute break. Doesn't have to take a ten hour 481 00:46:30,979 --> 00:46:36,539 break. They. You know they're not. They wouldn't be. They wouldn't be subject to any type of time 482 00:46:36,540 --> 00:46:42,418 limit. Mhm. I mean they would they would be you know, of course they would be limited to whatever 483 00:46:42,419 --> 00:46:49,379 the speed of the road is. I mean I would, I, I'm not a fan of, you know, government trucks, even 484 00:46:49,379 --> 00:46:56,378 though I worked for a couple of years as a very low government truck. But. I mean, I would if they 485 00:46:56,419 --> 00:47:03,059 were to put self-driving trucks out there, I would almost want them to lower what the speed of that 486 00:47:03,060 --> 00:47:09,899 truck could do, just, you know, just to slow it down. It'd make it more inconvenient for the traffic 487 00:47:09,899 --> 00:47:15,019 around it. But I think it would be a little bit better if they would maybe give them down to 65 488 00:47:15,019 --> 00:47:20,340 or 60 or something. Yeah. Maybe keep it a little. Bit safer just to let people know that, you know. 489 00:47:20,379 --> 00:47:26,668 Hey, this this is a self-driving truck. Time to give it room. Yeah, to do it so well. Hey, you know. 490 00:47:26,949 --> 00:47:33,509 Having it doing 75 with everybody else. In NASCAR, the, uh, the rookies got to wear the yellow stripe 491 00:47:33,509 --> 00:47:38,790 on the bumper. Kevin, I think it's totally fair to put some type of signifier on an autonomous truck. 492 00:47:38,790 --> 00:47:43,829 If there's no driver, you better paint the thing pink or something so I can see it, because I want 493 00:47:43,870 --> 00:47:50,869 to know. Yeah, well, at this point, you know, they got I mean, I can tell you right now just 494 00:47:50,870 --> 00:47:57,829 from seeing it live in person, if you see a truck that's got, you know, numerous things attached 495 00:47:57,830 --> 00:48:02,669 to the outside of it, chances are there's probably either a driver asleep behind the wheel because 496 00:48:02,669 --> 00:48:09,229 he's probably just the backup guy or the IRA driver at all. Yeah, that's crazy man. I can't 497 00:48:09,229 --> 00:48:14,350 believe where the world is going. You know, another thing I've heard, um, is that it's it's been 498 00:48:14,350 --> 00:48:19,509 brought up. I don't think that it's in, you know, it's not sitting on a law desk somewhere in a 499 00:48:19,510 --> 00:48:25,438 senator's office, but I've heard the mention of maybe having these trucks have their own lane 500 00:48:25,479 --> 00:48:31,839 where there's just a lane that is not for, um, you know, human drivers to operate in. It's kind of 501 00:48:31,879 --> 00:48:36,839 would remind you of a carpool lane, except you're not allowed to jump in it, and these trucks are 502 00:48:36,840 --> 00:48:42,999 only allowed to be in it. How would you feel about something like that? Um, kind of the advent of 503 00:48:43,719 --> 00:48:50,239 separate but equal. I hate to use that because of its historical context, but, um, would you would you 504 00:48:50,239 --> 00:48:56,479 feel safer, Kevin, if this truck maybe was forced to drive in its own lane? Uh, sort of separate from 505 00:48:56,479 --> 00:49:03,360 the rest of the, uh, the world of traffic? I would kind of like that for myself, but, um. 506 00:49:04,320 --> 00:49:10,199 Get you away from all the idiots, right? Yeah. I mean, only Lane, that would be great, but, yeah, it 507 00:49:10,199 --> 00:49:15,439 would, it would, it would be a little bit better if, like you said, if that truck can't leave that lane 508 00:49:15,439 --> 00:49:20,289 and you can't get into that lane, that's that truck lane and that's it. Yeah. That would. That 509 00:49:20,289 --> 00:49:26,089 would be good. But I mean, you can't do that. That's like a zero track. Right. You would limit one of 510 00:49:26,090 --> 00:49:30,129 that. You would limit. Where that truck could go. Eventually that truck is going to have to get in 511 00:49:30,250 --> 00:49:36,249 in with the motoring public. Yeah. And the infrastructure to put that in would be just so 512 00:49:36,250 --> 00:49:42,849 expensive that it would never it would never get off the ground, unfortunately. I mean, it's it's not 513 00:49:42,850 --> 00:49:47,089 like these autonomous truck company is going to have the firm motto is of Cypress. You know, we got 514 00:49:47,090 --> 00:49:52,689 an obligation to the motoring public, right? Right. And that's a big part of it, man, because listen, 515 00:49:52,689 --> 00:49:58,489 we've talked about it on this podcast. You know, one of the things the last time Clay joined us, um, 516 00:49:58,689 --> 00:50:04,889 Clay Hamblin, we talked about nuclear verdicts and predatory verdicts against trucking companies. You 517 00:50:04,889 --> 00:50:10,010 start to take the human element out of your trucks because the human element, we've had lots 518 00:50:10,010 --> 00:50:15,649 of safety directors, uh, on, on many different podcasts tell us the biggest piece of safety 519 00:50:15,649 --> 00:50:20,620 technology in the truck is the driver, and everything else that we put on the trucks comes 520 00:50:20,620 --> 00:50:26,620 after it. Well, it sounds to me like with an autonomous truck, you're taking the biggest piece 521 00:50:26,620 --> 00:50:33,378 of safety equipment away from the truck. So how are we going to you know, what's going to happen? 522 00:50:33,379 --> 00:50:38,060 Are these companies that, you know, this Atlas company that you sent me the article about? 523 00:50:38,100 --> 00:50:44,539 They've only got 28 trucks and they're testing on private roads right now, but their goal is by 2027 524 00:50:44,540 --> 00:50:50,978 to have 100 trucks and to be testing them on public roadways. Okay. Let's assume that that's 525 00:50:50,979 --> 00:50:56,218 going to happen. Well, what happens during the first big pile up? What happens during the first 526 00:50:56,219 --> 00:51:01,419 accident where there's a fatality? Does the lawsuit look the same as it would if there was a 527 00:51:01,419 --> 00:51:06,780 human driver in the seat? Is it worse? Is it less nuclear? I don't know, but you start to ask 528 00:51:06,780 --> 00:51:13,679 yourself, Kevin, can these fleets survive if the accident rate is higher, even by, you know, one 529 00:51:13,679 --> 00:51:19,349 tenth of a percent than what it is with human drivers. Are you going to be able to even live 530 00:51:19,350 --> 00:51:23,709 with all the litigation that's going to come your way as soon as one of these trucks sideswiped 531 00:51:23,749 --> 00:51:30,669 grandma? I mean, what about, like, the situation they had in, uh, just outside of Dallas 532 00:51:30,669 --> 00:51:35,870 on 35, probably about five years ago when they had that ice storm come through in 35, froze over, and 533 00:51:35,870 --> 00:51:41,310 they had 100 car pileup. Boy, that was bad. I remember seeing footage of that I could not and I 534 00:51:41,310 --> 00:51:47,869 mean cars doing like 70 miles an hour into an accident. I mean, it was horrific, Kevin. 535 00:51:48,830 --> 00:51:55,309 I mean, I was a, you know, autonomous truck going to do on ice. Yeah. You know. Okay. Yeah. It 536 00:51:55,310 --> 00:52:02,029 senses okay. Traffic. There's a traffic action up ahead, you know, and it ain't going to be able to 537 00:52:02,029 --> 00:52:08,989 stop 135,000 pounds of load on ice. If it's not going to happen. Right. They're going to 538 00:52:08,989 --> 00:52:14,999 have the same catastrophic result as what they did there in Dallas. It's going to be the same 539 00:52:14,999 --> 00:52:20,839 situation, if not worse, because like you said, you're taking the human factor out of it. Yeah. 540 00:52:20,879 --> 00:52:27,120 Yeah. Well, maybe, maybe the, you know, the driver, you know, in that situation could maybe ditch the 541 00:52:27,120 --> 00:52:31,759 truck, you know, and maybe avoid hitting 5 or 6 cars and they, you know, you're going to destroy 542 00:52:31,759 --> 00:52:36,879 the truck, but, you know, you didn't kill nobody. Exactly, exactly. The autonomous truck going to 543 00:52:36,879 --> 00:52:42,719 have the the foresight, the ditch itself, if it knows that it's either that or run into whatever 544 00:52:42,720 --> 00:52:48,439 is in front of it. Boy, isn't that. A good. Question. Yeah. Isn't that a good question? Because I would 545 00:52:48,439 --> 00:52:53,639 be willing to bet that that autonomous truck, as far as the dollar value on it, is probably 546 00:52:53,639 --> 00:52:59,399 exponentially higher than the truck that you know you were driving because of all the extra 547 00:52:59,399 --> 00:53:06,039 technology. Is that company going to allow that truck to ditch itself over hitting? I mean, you 548 00:53:06,080 --> 00:53:12,209 hope so. Obviously. If not, they're going to get sued into nonexistence anyway. But it's one more 549 00:53:12,249 --> 00:53:18,289 thing to think about, and it just continues to make me wonder, can we ever train these things on 550 00:53:18,290 --> 00:53:23,849 every eventuality? And I don't think so because it's random, right? There's no way you're shuffling 551 00:53:23,850 --> 00:53:28,769 a deck of cards here. Um, you know, I read a stat the other day that every time you shuffle a deck 552 00:53:28,769 --> 00:53:35,489 of cards, it's likely that it's the first time that it's ever been in that order. Uh, because of 553 00:53:35,490 --> 00:53:41,048 how many different, um, you know, uh, eventualities there are. It's kind of like that with driving. 554 00:53:41,049 --> 00:53:47,049 There's just no way to predict it. I don't know, man. I you know, I was I was thinking that I 555 00:53:47,049 --> 00:53:52,009 probably wouldn't change my mind much after talking to you here, Kevin and I, I don't think 556 00:53:52,010 --> 00:53:59,009 that I have, um, I you know, I'm not against the advent of technology. I think that if we could get 557 00:53:59,010 --> 00:54:03,729 safer out there on the road, that's what you guys want. That's what everybody wants. I don't know 558 00:54:03,729 --> 00:54:10,609 that taking the driver away from the situation is the way to get safer. I think that after spending 559 00:54:10,610 --> 00:54:16,648 so many hundreds of hours of my life talking to so many drivers that have millions of safe miles 560 00:54:16,649 --> 00:54:22,369 under their belt, it just doesn't seem that easy. It doesn't seem like we can just go, oh, a machine 561 00:54:22,370 --> 00:54:27,889 will learn it and put an AI brain in it and tell it to drive forward and everything works, I think. 562 00:54:27,929 --> 00:54:33,810 I feel like we might still be a decade away, and, uh, there's probably a lot of people out there 563 00:54:33,810 --> 00:54:39,569 listening to this, Kevin, that think I'm crazy for saying that, but I don't know, man. You guys, you 564 00:54:39,570 --> 00:54:44,090 guys know a lot about what goes on out there, and you don't sound that comfortable. You already told 565 00:54:44,090 --> 00:54:51,089 me, man. Get that thing behind me. Get it in my rearview mirror. Oh, well, I mean, we've been talking 566 00:54:51,090 --> 00:54:57,689 about, you know, the truck driving and driving itself, you know. You know, Cypress is a flatbed 567 00:54:57,690 --> 00:55:02,809 company. Okay? Yeah, we gotta drive the truck forward, but, you know, we gotta deliver the load. 568 00:55:02,969 --> 00:55:08,899 Yep. And we got, you know, we got a tarpon on Tucker load. How how how are they going to, you know, 569 00:55:08,939 --> 00:55:15,139 accommodate that, you know? How are they going to get they get the robot to tighten the load down 570 00:55:15,139 --> 00:55:20,220 and tarp the load and all that. Yeah. And they're unloading it. Yeah. They got autonomous forklifts 571 00:55:20,220 --> 00:55:26,860 and all that. I get that part of it. But I mean, the the the fact, you know, you know, what do you 572 00:55:26,860 --> 00:55:32,819 do. What does that truck do when you know you're going down the road and you're strapped to get 573 00:55:32,819 --> 00:55:39,619 loose? Exactly. They get out of self tightening straps. Man, I doubt it. I lose on. It. I would think, 574 00:55:39,620 --> 00:55:44,300 uh, if you're hauling wallboard, self tightening straps might provide more of a problem than what 575 00:55:44,300 --> 00:55:49,620 they would solve. Because sooner or later, it's gonna pinch that stack of wallboard down into 576 00:55:49,659 --> 00:55:55,300 dust, man. And listen. Exactly. Uh, I'll be honest with you, if I'm out driving in my Silverado and 577 00:55:55,300 --> 00:56:01,219 I'm behind a Cypress flatbed truck, I would much rather that somebody that Cecil Clark has trained, 578 00:56:01,219 --> 00:56:07,149 or Cecil Clark himself has strapped that load down and secured it, rather than a computer or a 579 00:56:07,149 --> 00:56:13,469 robot doing it 100% every day of the week and twice on Sunday put me behind the Cecil or Cecil 580 00:56:13,510 --> 00:56:20,350 trained load. I will say that right now. I mean, I thought about that too. I was like, I look 581 00:56:20,430 --> 00:56:25,749 okay, we got someone to drive the truck. Now you're gonna have to have somebody to work the word. Yep. 582 00:56:25,790 --> 00:56:29,669 I mean, are you gonna you gotta hire a guy to sit in the truck while the truck does all the driving. 583 00:56:29,669 --> 00:56:34,389 He's going to do all the loading and unloading. Boy, I bet you he'd make a lot less money than the 584 00:56:34,389 --> 00:56:40,069 guy actually driving that truck, wouldn't he? I don't know if I'd want to be the passenger of a 585 00:56:40,070 --> 00:56:45,350 self-driving truck, either. No. You're just. I mean, you're you're kind of the slave to the robot at 586 00:56:45,350 --> 00:56:49,509 that point in time. You got to get out and do its bidding for it because it can't handle the job 587 00:56:49,509 --> 00:56:56,109 itself. Right? Yeah, right. Well, Kevin, this has been great, man. I've had you on here for almost an hour. 588 00:56:56,110 --> 00:57:00,749 I know that you're done with your day. I want to let you get back to, uh, to relaxing and resting up 589 00:57:00,750 --> 00:57:05,359 for the next load that you've got. But as always going to give you some time for your final 590 00:57:05,360 --> 00:57:09,959 thoughts here today. I really appreciate you coming to me with this, and I want to tell all the 591 00:57:09,959 --> 00:57:14,479 rest of the drivers out there that are listening to this right now. Um, you know, a lot of the stuff 592 00:57:14,480 --> 00:57:19,079 that we come up with to talk about on this show, we we talk to management and we are talking to 593 00:57:19,119 --> 00:57:25,600 drivers and we're coming up with ideas ourselves. This one was 100% Kevin. Kevin got in touch with 594 00:57:25,600 --> 00:57:30,918 me, I don't know, probably a couple months ago and said, listen, I saw this truck out there. I'd really 595 00:57:30,919 --> 00:57:35,918 like to talk about this. And while it did take us some time to work it in, we were able to work this 596 00:57:35,919 --> 00:57:41,199 episode in that is available to every single Cypress driver out there. If you're listening to 597 00:57:41,240 --> 00:57:45,159 this and there's something that you've seen or something that you've experienced out there that 598 00:57:45,159 --> 00:57:51,760 you would like us to produce an episode about, all you got to do is head on over to podcast.cypresstruck.com and 599 00:57:51,760 --> 00:57:58,759 email me. Or if you've got my phone number, use it, send me a text, uh, put in a call. I will definitely 600 00:57:58,759 --> 00:58:04,888 try my damnedest to get your episode moving. I gotta get it approved. I'm not the end all be all. 601 00:58:05,170 --> 00:58:10,570 But, Kevin, I wanted to use you as an example here. Let the other drivers know that, um, if they've got 602 00:58:10,570 --> 00:58:17,009 something they want to talk about. Man, I'm all ears, right? You can attest to that. Yes, I can, I 603 00:58:17,009 --> 00:58:21,529 mean, there, I'll come up. I'll come. I'll put you a couple messages in the past where we've come up 604 00:58:21,529 --> 00:58:28,129 with an episode and had a good time doing it. So. Yeah, definitely. Absolutely. So and I 605 00:58:28,129 --> 00:58:32,888 appreciate it, man I appreciate it. Like, you don't know, it makes my job a little bit easier to have 606 00:58:32,889 --> 00:58:39,489 you guys helping me out with content from time to time. So, uh, Kevin Barritt, man, I once again 607 00:58:39,490 --> 00:58:44,089 greatly appreciate the time. Final thoughts from you. Before we let you go here on our autonomous 608 00:58:44,090 --> 00:58:50,489 truck conversation, my friend. Uh, final thought is, you know, if you're if you're worried 609 00:58:50,489 --> 00:58:56,129 about, uh, you know, losing your job here at Cypress to self-driving trucks, I don't think the villains 610 00:58:56,130 --> 00:59:02,899 are there yet. I think we're pretty much set for a while. Um, but, uh, yeah, 611 00:59:02,979 --> 00:59:08,339 just if you're out there, you know, stay safe, you know, do your job properly. You know, you're the 612 00:59:08,340 --> 00:59:14,659 professional driver. Be the professional driver. You know, think think safety. To 100% of the time. 613 00:59:15,300 --> 00:59:21,179 And, uh, you know, just I want to do a quick shout out to Cypress for, you know, putting up with me for 614 00:59:21,179 --> 00:59:26,579 17 years. It's a great company to work for. And I love the people I work with. And I wouldn't have 615 00:59:26,580 --> 00:59:32,100 it any other way. Great stuff, Kevin. And and I don't think we'd have it any other way either. Man, 616 00:59:32,100 --> 00:59:36,899 we always appreciate the time. Thank you so much. You be safe out there. Get some rest and we'll 617 00:59:36,899 --> 00:59:40,499 talk to you next time, okay? All right. Appreciate it Marcus. 618 00:59:48,699 --> 00:59:53,899 Great stuff from Kevin there. Really appreciate his time and bringing me this topic again. This 619 00:59:53,900 --> 00:59:58,949 was something that he just reached out and said, hey, uh, I saw this. Did you want to talk about it? 620 00:59:58,990 --> 01:00:03,789 Feels like it would make a cool podcast episode and Bing bang boom took us a little while, but we 621 01:00:03,790 --> 01:00:08,789 got it done. We're across the finish line with it now, and we greatly appreciate Kevin, uh, for not 622 01:00:08,790 --> 01:00:15,109 only bringing us the topic, but for coming on to discuss it now. I do have a few facts here. I did 623 01:00:15,109 --> 01:00:21,189 some research because, well, that's part of my job. I'm supposed to be well informed and, uh, I, I have 624 01:00:21,190 --> 01:00:27,429 a little bit of information for you here that I just wanted to share. As of September 2026, we're 625 01:00:27,429 --> 01:00:34,189 in a fascinating middle ground right now. Genuine commercial level four trucking has arrived. 626 01:00:34,189 --> 01:00:39,389 And I think that one of the most important distinctions that we can make on this episode is 627 01:00:39,389 --> 01:00:44,870 to tell you the difference between level four autonomous trucking and level five autonomous 628 01:00:44,870 --> 01:00:51,429 trucking. Uh, NHTSA automation scale is useful because people throw around terms like 629 01:00:51,429 --> 01:00:57,879 self-driving, very loosely, autonomous, very loosely, but there are starting to sort of 630 01:00:57,920 --> 01:01:03,639 define these things and put them in their own lanes, not their own physical lanes, but their own. 631 01:01:03,639 --> 01:01:09,519 Um, I guess lanes in the law, I guess, is one way you would put it, but let's go through it real 632 01:01:09,519 --> 01:01:16,519 quick. Um, very important distinction here. Level four is considered high automation. What does 633 01:01:16,520 --> 01:01:22,759 that mean? Well, according to the NHTSA, the vehicle can perform the entire driving task without a 634 01:01:22,759 --> 01:01:28,560 human driver within a limited operating environment. That's the key part right there. 635 01:01:28,560 --> 01:01:34,800 Limited operating environment. That limitation might involve specific highways, mapped routes, 636 01:01:34,840 --> 01:01:41,840 weather conditions, geographic areas, or other restrictions. The NHTSA says a human driver 637 01:01:41,840 --> 01:01:48,719 isn't needed while the system is operating within those limits. So if for whatever reason, that 638 01:01:48,719 --> 01:01:54,889 truck's route is going to take it out of those limited circumstances, then a driver would have to 639 01:01:54,929 --> 01:02:01,648 assume at least some sort of supervisory role or control over that truck to have it 640 01:02:01,649 --> 01:02:08,049 maintain its level four status. Now, level five is considered by the 641 01:02:08,050 --> 01:02:15,050 NHTSA to be full automation. And this is the theoretical end game of autonomous trucking. Okay. 642 01:02:15,050 --> 01:02:21,969 And I want you guys to really hear me say theoretical end game. This is where no driver is 643 01:02:21,970 --> 01:02:28,929 required. Any road, any conditions, anywhere a human can drive. Now, I'm happy to tell you 644 01:02:28,929 --> 01:02:34,928 right now that the NHTSA says level five currently isn't available. So even if you've got 645 01:02:34,929 --> 01:02:39,409 somebody out there that tells you, hey, I saw this and it was ripping all the way across the United 646 01:02:39,409 --> 01:02:45,089 States. Rain, snow, sleet, hail, it didn't matter. It was running 24 over seven. There was no driver 647 01:02:45,089 --> 01:02:51,769 anywhere in in sight. It that's just not true yet. Okay. Controlled environments for these 648 01:02:51,770 --> 01:02:58,009 things. It's very true. Kevin did, in fact see one. Um, but one thing that I can tell you about where 649 01:02:58,009 --> 01:03:03,650 he saw this is it's out there towards the Permian Basin in West Texas, which is where they're 650 01:03:03,650 --> 01:03:10,090 testing a lot of these things. And that's because this is a kind of a, uh, highly industrialized area. 651 01:03:10,129 --> 01:03:15,489 Right? They pump a lot of oil out of the ground out there in West Texas, in the Permian Basin. And 652 01:03:15,569 --> 01:03:22,129 because of that, they have a lot of roads that are not really used for general traffic. They've got a 653 01:03:22,130 --> 01:03:28,049 lot of, uh, what you might call industrial routes out there. Another part of it, you get some wind 654 01:03:28,049 --> 01:03:34,809 out there for sure. It's a very windblown, dusty place. Um, but as far as the the crazy weather is 655 01:03:34,810 --> 01:03:39,569 concerned, you're not going to be getting those huge ice storms like the one that Kevin and I 656 01:03:39,569 --> 01:03:46,289 talked about on I-35. Um, very often out there in West Texas, if really ever. Um, and 657 01:03:46,289 --> 01:03:51,779 so these trucks are able to operate on these industrial roads in a controlled environment. 658 01:03:51,780 --> 01:03:58,499 That's level four. Yes. It's happening. Um, it's it's a little bit eye popping that it is happening, but 659 01:03:58,500 --> 01:04:05,259 it is. We have driverless trucks. We do not have trucks that can replace a human driver everywhere. 660 01:04:05,260 --> 01:04:10,899 In fact, I might even argue we're not even really that close to that at this point in time. The 661 01:04:10,899 --> 01:04:15,860 trucks that Kevin encountered are almost certainly level four, uh, conquering specific 662 01:04:15,860 --> 01:04:21,299 routes and operating environments. First, rather than trying to solve every road in America 663 01:04:21,340 --> 01:04:26,779 simultaneously. This is what makes me think we might be ten years away from this at at best. 664 01:04:26,780 --> 01:04:33,780 Right now, the interstate system in the United States is immensely complicated. Okay. 665 01:04:33,820 --> 01:04:38,820 I mean, when was the last time you were on an interstate and you came to an interchange and 666 01:04:38,820 --> 01:04:45,179 you've got six lanes going one way, and there are, uh, green signs with yellow all over them and exit 667 01:04:45,180 --> 01:04:50,508 only here and this way to westbound and this way. The eastbound and southbound. Northbound. It's 668 01:04:50,509 --> 01:04:55,789 crazy. And to think that automatically, uh, a driverless truck is just going to be able to 669 01:04:55,830 --> 01:04:59,550 slide into the right lane. Everything's going to work out perfect, and it's going to make it there. 670 01:04:59,590 --> 01:05:03,428 Look, I don't know if we're there yet, and I'm I'm comfortable saying that we're not there yet 671 01:05:03,429 --> 01:05:08,750 because we are there when it comes to the human element of it. Okay. We got a lot of good truck 672 01:05:08,750 --> 01:05:13,469 drivers out there on the roads of this great country, and, uh, quite a few of them reside right 673 01:05:13,469 --> 01:05:19,549 here at Cypress. Now, there is a big development here. There are trucks. Like I said, they're running 674 01:05:19,550 --> 01:05:25,229 without drivers. Aurora is one company that's operating class eight trucks with nobody in the 675 01:05:25,229 --> 01:05:31,829 driver's seat. In July of this year, 2026, Aurora launched its second generation driverless trucks 676 01:05:31,830 --> 01:05:37,748 built on the international LTE platform. The company says that although roadside assistance 677 01:05:37,749 --> 01:05:43,949 employees may occasionally ride in a rear seat, that person isn't supervising or driving the 678 01:05:43,949 --> 01:05:50,839 truck, and Aurora is trying to scale very quickly with this. In its July 29th shareholder report, the 679 01:05:50,840 --> 01:05:57,759 company said it was fully allocated to exit 2026 with 200 driverless trucks operating. 680 01:05:57,840 --> 01:06:03,679 Aurora also said Volvo Autonomous Solutions was already hauling commercial freight in Texas using 681 01:06:03,679 --> 01:06:10,479 the Volvo VML autonomous trucks powered by Aurora's system. Now, Kodiak AI 682 01:06:10,560 --> 01:06:15,359 is the one that we actually talked about there involved with the Atlas trucks. Kevin sent us that 683 01:06:15,360 --> 01:06:20,039 article. I was giving you some facts. And, uh, that article was actually from the spring of this year. 684 01:06:20,040 --> 01:06:25,999 So I can update those facts a little bit. Uh. They're there. Kodiak AI is a major player in this 685 01:06:25,999 --> 01:06:31,279 game, and its development gives a terrific example because the trucks aren't simply running around 686 01:06:31,280 --> 01:06:37,199 empty for demonstrations. They're working, uh, Kodiak powered trucks are hauling frack sand for 687 01:06:37,199 --> 01:06:43,889 Atlas Energy Solutions out there in the Permian Basin in West Texas. There are 35 customer 688 01:06:43,930 --> 01:06:49,209 owned driverless trucks. I think that's really interesting point here. We're not talking about a 689 01:06:49,209 --> 01:06:55,609 fleet that is run independently with 35 trucks. Each one of these trucks is owned by a 690 01:06:55,610 --> 01:07:01,969 customer that utilizes the service. 40,000 hours of paid driverless operation, 691 01:07:02,530 --> 01:07:08,889 2000 plus loads delivered, and more than 300,000 tons of freight hauled during 692 01:07:08,889 --> 01:07:15,250 Q2 alone. If you add that to the 450,000 tons of freight that they hauled in Q1 that we talked 693 01:07:15,250 --> 01:07:21,969 about, you're sitting here at three quarters of a million tons hauled by these driverless trucks. At 694 01:07:21,970 --> 01:07:27,689 this point, no humans in the cab. And Kodiak did say earlier this month that all 35 of those 695 01:07:27,690 --> 01:07:33,408 trucks were operating commercially, with nobody aboard. And Kodiak and Atlas have already 696 01:07:33,409 --> 01:07:39,570 demonstrated an autonomous truck pulling three trailers simultaneously. We talked about that, a 697 01:07:39,570 --> 01:07:46,539 triple combo out there weighing more than a quarter million pounds. Um, that's that's, uh, that's 698 01:07:46,580 --> 01:07:51,179 eye popping. To say the least. And a little bit scary. I'm not going to lie to you. Um, we have to 699 01:07:51,220 --> 01:07:56,939 think about the safety aspect of this. It is the largest aspect of what everyone listening to this 700 01:07:56,940 --> 01:08:03,059 podcast does for a living. And with so many safety directors telling me the biggest piece of safety 701 01:08:03,059 --> 01:08:09,740 technology in the truck is the driver, I wonder, can we really be as safe as a human 702 01:08:09,740 --> 01:08:14,899 driver when we've got a quarter million pounds tied to our back and we're running a triple combo? 703 01:08:14,939 --> 01:08:20,859 I don't buy it at this point in time. I know it's 2026. I know that I have a supercomputer in my 704 01:08:20,859 --> 01:08:25,819 pocket. I walk around with it all day. And by the way, cheers to you high school algebra teacher, 705 01:08:25,819 --> 01:08:30,619 telling me I would not ever be walking around with a calculator in my pocket. You're right. I 706 01:08:30,620 --> 01:08:35,419 have a complete world building machine in my pocket. Who would have been naive enough to think 707 01:08:35,419 --> 01:08:42,310 it would only be a calculator, but I digress. I think safety is the biggest issue 708 01:08:42,349 --> 01:08:49,229 here. I think that it's very important to you to know that what's happening right now is 709 01:08:49,230 --> 01:08:53,909 these companies are are using their own data, they're collecting their own data. They're 710 01:08:53,950 --> 01:09:00,870 analyzing their own data. And this hasn't been looked at again by maybe a committee, like 711 01:09:00,870 --> 01:09:07,668 a government committee. Okay. Um, Kodiak will tell you that they are I think 93% 712 01:09:07,669 --> 01:09:14,028 safe is what it says. It says 90. Kodiak describes its long haul safety case as 713 01:09:14,029 --> 01:09:20,749 93% complete as of the end of August this year. But the important caveat is it's its 714 01:09:20,749 --> 01:09:27,229 own internal autonomy, autonomy readiness measure. God, this is alphabet soup for me. 715 01:09:27,229 --> 01:09:33,869 Sometimes it's not a government declaring that the technology is 93% safe. It's Kodiak AI looking 716 01:09:33,870 --> 01:09:39,919 at their own work and saying, good job, guys, 93% safe. Those are two very different things. Okay. You 717 01:09:39,920 --> 01:09:46,559 can't just have the self-policing of a entrepreneurial endeavor and 718 01:09:46,560 --> 01:09:53,559 expect them not to cut some corners and maybe gloss over a few issues. So until we can say that, 719 01:09:53,560 --> 01:09:58,600 uh, you know, a government, our government has looked at this and said that it's 93% safe or 720 01:09:58,600 --> 01:10:04,358 more. Um, I don't think we're moving forward with this fully autonomous driverless truck sharing 721 01:10:04,359 --> 01:10:09,599 the road and completely replacing human drivers. I just don't think we're there yet. I think we're 722 01:10:09,600 --> 01:10:14,839 gonna see it. I think it'll definitely happen in our lifetime. I don't know when, uh, you heard Kevin 723 01:10:14,839 --> 01:10:19,079 say he's got about 15 years left. He's feeling pretty comfortable about being able to work those 724 01:10:19,079 --> 01:10:24,680 15 years out right where he's at. Uh, but even if not, it looks like he could have a desk in his 725 01:10:24,680 --> 01:10:29,359 future. We'll never know, uh, until we actually cross that bridge. But I want to say thank you to 726 01:10:29,399 --> 01:10:33,999 Kevin again for coming in here and bringing me this story and just being willing to sit down and 727 01:10:33,999 --> 01:10:38,798 talk about it. I asked some goofy questions from time to time, and I don't give these guys much 728 01:10:38,799 --> 01:10:44,159 preparation before I just hit them with it. So really good stuff from Kevin today. This is the 729 01:10:44,160 --> 01:10:49,758 world that we live in. I would love to hear what you, the listener out there, thinks about it. Head 730 01:10:49,759 --> 01:10:55,879 on over to the website podcast.cypresstruck.com and send me an email. What are your thoughts? What have 731 01:10:55,879 --> 01:11:02,879 you seen out there? Where do you think it's going? How far away from having fully autonomous trucks, 732 01:11:02,919 --> 01:11:08,878 traveling the roads and operating in any condition with impunity? Do you think we are? 733 01:11:09,439 --> 01:11:14,759 Because I'll tell you, these things can operate. You know, Kevin brought it up. The fatigue part of 734 01:11:14,759 --> 01:11:19,199 it is the one part that the computer might have over the human. It's never going to get fatigued. 735 01:11:19,200 --> 01:11:23,679 It can be out there hauling 24 hours a day, seven days a week, and it's never going to get tired. 736 01:11:23,680 --> 01:11:28,199 It's going to need maintenance. It's going to need, you know, repair and all the regular things that 737 01:11:28,319 --> 01:11:32,879 the equipment does need. But it doesn't have that human factor of needing to shut it all down and 738 01:11:32,879 --> 01:11:38,409 have dreams for 7 or 8 hours a night. And that is something that I think gives a lot of truck 739 01:11:38,409 --> 01:11:43,689 drivers pause. Because you're sitting here looking at a computer that can run harder than you can, 740 01:11:43,729 --> 01:11:49,169 and that's not whether or not you can do it has nothing to do with your skill set or your ability, 741 01:11:49,169 --> 01:11:54,329 or even the level of rest that you've got. All it has to do with is the laws that you are bound by. 742 01:11:54,329 --> 01:12:01,289 And, uh, makes me wonder once this is actually a proven technology and we know it's safe because, 743 01:12:01,329 --> 01:12:07,409 look, they'll keep testing this for 50 or 60 years until they do make it safe. We might be a decade 744 01:12:07,410 --> 01:12:12,729 out. We could be a century out. They'll keep moving forward on this until it provides them a reason 745 01:12:12,729 --> 01:12:19,450 not to. And I don't see that happening anytime soon. So when this actually happens, are we going 746 01:12:19,450 --> 01:12:23,850 to have some type of legislation that's going to limit the operating hours of these trucks so that 747 01:12:23,850 --> 01:12:29,809 we can continue to give human drivers jobs that they greatly need so that they can support their 748 01:12:29,809 --> 01:12:35,099 family, put food on the plate, build a retirement. You know, these are all questions we're going to 749 01:12:35,100 --> 01:12:40,339 have to answer. I don't have answers to them. I've got opinions. I've got a pocket full of those. And 750 01:12:40,339 --> 01:12:45,299 I'm willing to dish those out any time anybody asked. So let's start the conversation. Send me an 751 01:12:45,299 --> 01:12:51,140 email right now. Uh, and, and just let me know your thoughts. I mean, we've given you a lot. We've 752 01:12:51,180 --> 01:12:55,219 talked about this for over an hour today. I know it's stirred some thoughts up in your mind, and I 753 01:12:55,220 --> 01:12:59,740 would really love to hear him. Uh, because this is an episode that we could easily do a follow up to. 754 01:12:59,740 --> 01:13:05,659 In fact, we're already trying to, uh, look for sort of an industry expert to talk about this part of 755 01:13:05,660 --> 01:13:11,499 the trucking industry. Uh, so if you have thoughts that you want to share, send them to me by heading 756 01:13:11,500 --> 01:13:17,579 over to podcast.cypresstruck.com and sending me an email, because I will read your comments. And if we can 757 01:13:17,620 --> 01:13:22,980 get this industry expert on the phone and actually get an interview with him, I will ask 758 01:13:22,980 --> 01:13:27,859 your questions to him. Somebody that's constantly in this, somebody that researches it, studies it, 759 01:13:27,860 --> 01:13:34,789 covers it for a living. Uh, so send in those questions ASAP. Thank you all, Cypress and Sun Belt 760 01:13:34,790 --> 01:13:40,749 for being here today. Episode 39 was a rousing success. Big thanks once again to Kevin Barritt. 761 01:13:40,750 --> 01:13:47,589 And, uh, we do want to send a little, uh, thought out there to, uh, Shannon Brumm. He was, uh, set to 762 01:13:47,629 --> 01:13:52,189 join us today, but he ended up, uh, with some kind of bug. He's a little under the weather, so we just 763 01:13:52,189 --> 01:13:57,069 want to send a quick get well soon out there to Shannon. Uh, sure. He's already on the mend. Thanks, 764 01:13:57,069 --> 01:14:02,028 everybody, for listening today. Be safe out there, Cypress and Sun Belt, and we will see you next week 765 01:14:02,029 --> 01:14:08,069 for another hour of content. Wednesday, 5 a.m. local time, right here for the Cypress Truck Lines 766 01:14:08,069 --> 01:14:09,029 podcast.