WEBVTT - High Tech at High Speed 0:00:04.200 --> 0:00:12.600 Get technology with tech Stuff from Stuff. Hey there, everyone, 0:00:12.680 --> 0:00:17.119 and welcome to Tech Stuff. I am your host Jonathan Strickland. 0:00:17.600 --> 0:00:20.720 Joining me today is one half of the Car Stuff team, 0:00:20.800 --> 0:00:24.480 Scott Benjamin Scott, welcome back to the show. I'm doing great. 0:00:24.520 --> 0:00:26.319 We were gonna have Ben Bowen in here too, but 0:00:26.960 --> 0:00:29.760 Ben's a man in high demand, he really is. He's 0:00:29.920 --> 0:00:33.120 He's taken over the whole video segment of our of 0:00:33.120 --> 0:00:38.520 our uh Empire Empire. I guess it's growing, right, But yeah, yeah, 0:00:38.520 --> 0:00:40.559 I mean, I'm happy to be here as always, and 0:00:40.640 --> 0:00:42.960 I'm excited about today's topic too. Yeah, I'm excited to 0:00:42.960 --> 0:00:45.160 talk about it today. And and I should add Ben 0:00:45.200 --> 0:00:48.040 totally wanted to be here. He was just he had 0:00:48.080 --> 0:00:50.440 like eighteen things on his calendar today and as someone 0:00:50.479 --> 0:00:53.920 who had that yesterday, I totally understand. Oh yeah, we 0:00:53.960 --> 0:00:56.400 get it. Yeah. So today we're gonna talk about a 0:00:56.440 --> 0:00:59.880 little more in depth about some of the technology that 0:01:00.080 --> 0:01:04.679 was on display at CS, specifically in regards two cars, 0:01:04.720 --> 0:01:07.320 which is why I got Scott onto the show here 0:01:07.360 --> 0:01:11.119 to kind of gauge his reactions and maybe even here 0:01:11.160 --> 0:01:13.280 your insight on some of this stuff, well, you know, 0:01:13.319 --> 0:01:15.120 I've read about it now you were at the show, 0:01:15.160 --> 0:01:17.840 of course, and you saw the stuff firsthand. A lot 0:01:17.840 --> 0:01:19.960 of this is just me looking at reviews of you know, 0:01:20.120 --> 0:01:23.279 what everybody else has written about this stuff. I'm getting, 0:01:23.520 --> 0:01:25.200 you know, a different view of the whole thing. I 0:01:25.200 --> 0:01:27.600 don't get the hands on experience. But um, I'll do 0:01:27.640 --> 0:01:29.120 my best to try to keep up with you. But 0:01:29.760 --> 0:01:32.280 really the reaction maybe more of what you're going for here, 0:01:32.280 --> 0:01:35.479 because we've got opinions both ways about this. I mean, 0:01:35.800 --> 0:01:37.920 I know that your listeners have heard us, uh I 0:01:37.959 --> 0:01:40.800 guess butt heads on a couple of the past, or 0:01:40.880 --> 0:01:43.800 at least they heard that one very special episode where 0:01:43.800 --> 0:01:47.600 I I pulled the rug out from under you. I 0:01:47.680 --> 0:01:49.680 still have nightmares. That was the one where I think, 0:01:49.720 --> 0:01:51.600 I think the question was Scott, I'm going to give 0:01:51.640 --> 0:01:54.600 you a scenario that in like ten years it's illegal 0:01:54.640 --> 0:01:57.240 to drive a car. And then then I watched your 0:01:57.040 --> 0:01:59.560 you just kind of wilt. It was a slow boil 0:02:00.200 --> 0:02:03.640 from that point on. Yeah. So one of the things 0:02:03.640 --> 0:02:05.360 I want to just mention right at the top before 0:02:05.400 --> 0:02:09.800 going into any specifics, is that the car industry has 0:02:09.840 --> 0:02:12.720 always played a part in CS as long as I 0:02:12.800 --> 0:02:15.600 have been going. This was my eight year going, and 0:02:16.000 --> 0:02:19.040 typically the north hall of the convention center is where 0:02:19.120 --> 0:02:22.640 you'll find the car text stuff. Occasionally there will be 0:02:22.720 --> 0:02:25.880 some things out in the actual parking lots that are 0:02:25.880 --> 0:02:28.959 around the convention center to show practical demonstrations of stuff 0:02:29.000 --> 0:02:32.320 like driver assist technology is that sort of thing. But 0:02:32.840 --> 0:02:37.560 typically most of the the exhibits are inside, so their 0:02:37.600 --> 0:02:39.680 static displays and not you know, you're not gonna get 0:02:39.680 --> 0:02:43.160 in the car and drive around or anything. But I've 0:02:43.200 --> 0:02:46.200 noticed that the trend has been growing year over year 0:02:46.280 --> 0:02:49.000 that that we're seeing more and more car technologies make 0:02:49.040 --> 0:02:51.160 their way into the show floor, which is kind of interesting. 0:02:51.880 --> 0:02:55.160 I mean, I get that their consumer technology, but often 0:02:55.200 --> 0:02:59.480 when I hear consumer technology, I'm thinking of smaller things, 0:02:59.560 --> 0:03:02.960 things smaller than a vehicle, yeah right, like maybe as 0:03:03.000 --> 0:03:06.160 big as like a refrigerator, But mostly I'm thinking of 0:03:06.240 --> 0:03:10.399 things in the television stereo system world, not things that 0:03:10.880 --> 0:03:13.160 you park in a garage. Well, you know, sometimes they 0:03:13.160 --> 0:03:16.560 get around this by just bringing in maybe the cockpit, 0:03:16.600 --> 0:03:19.320 the driver cockpit and the seat that is, you know, 0:03:19.560 --> 0:03:22.640 integral to whatever they're trying to show or display, and 0:03:22.639 --> 0:03:24.480 and that's enough. But sometimes they want to bring the 0:03:24.480 --> 0:03:26.800 whole vehicle because it's a whole package. Now at this point, 0:03:26.800 --> 0:03:28.639 everything is connected to everything else, and they want to 0:03:28.680 --> 0:03:30.600 show you how it all works together and how it 0:03:30.639 --> 0:03:33.240 feels when you're actually in there. There true to life 0:03:33.280 --> 0:03:34.960 product that they're going to be coming out with soon. 0:03:35.040 --> 0:03:36.680 And in fact, I noticed that there were a couple 0:03:36.720 --> 0:03:40.120 of a couple of early reveals that happened at this 0:03:40.160 --> 0:03:42.680 show that I just wanted to mention. They brought, well, 0:03:42.760 --> 0:03:47.080 Chevrolet brought too brand new vehicles for actually are gonna 0:03:47.080 --> 0:03:50.240 be out until the end of And this is what's 0:03:50.240 --> 0:03:53.800 really weird to me. They brought out the Chevy Bolt, 0:03:54.360 --> 0:03:57.040 which is the hatchback or the smaller version of the 0:03:57.080 --> 0:04:02.000 Chetty Volts I guess, the updated version, And uh, it's 0:04:02.040 --> 0:04:04.640 kind of it wasn't really a reveal, it sort of was. 0:04:05.040 --> 0:04:07.400 They wanted to show off the whole technology, the whole vehicle. 0:04:07.480 --> 0:04:10.600 But later they took it to the Detroit Auto Auto 0:04:10.600 --> 0:04:13.040 Show the I guess, the North American International Auto Show 0:04:13.040 --> 0:04:16.719 in Detroit, and then that's where they officially revealed that vehicle, 0:04:16.760 --> 0:04:18.919 even though everybody at c YES had already seen it. 0:04:19.040 --> 0:04:21.039 It'd been had been shown off like a week and 0:04:21.080 --> 0:04:24.720 a half earlier. Yeah, and similar with the Chevy Cruise hatchback. 0:04:25.080 --> 0:04:26.640 And I think that they wanted to show some of 0:04:26.640 --> 0:04:29.640 their safety technologies and some of their their advanced technologies 0:04:29.640 --> 0:04:31.640 that they were going to be bringing out in about 0:04:31.680 --> 0:04:33.280 what about a year now at this point, a year 0:04:33.320 --> 0:04:36.040 and a half something like that. Uh, so interesting how 0:04:36.040 --> 0:04:38.479 they would really reveal them to the public there and 0:04:38.520 --> 0:04:40.560 then give them the official reveal you know where they 0:04:40.560 --> 0:04:43.040 pull off, you know they do the dramatic Yankee off 0:04:43.080 --> 0:04:44.640 of the cover or you know, have a drive out 0:04:44.640 --> 0:04:47.880 on stage at the Detroit show. Yeah, it's interesting to 0:04:47.920 --> 0:04:51.760 see ce S play home to that sort of announcement 0:04:51.880 --> 0:04:55.040 or or non announcement almost where you do get this 0:04:55.160 --> 0:04:59.040 early look at stuff that normally would be reserved for 0:04:59.080 --> 0:05:02.479 an auto show or or even just a press event 0:05:02.560 --> 0:05:06.120 for that specific company. Um, it's kind of showing how 0:05:06.160 --> 0:05:10.800 c e S and cars are meshing together. In fact, 0:05:10.839 --> 0:05:12.760 that's going to be a theme throughout this episode is 0:05:12.760 --> 0:05:17.039 about how we're seeing sort of high tech stuff outside 0:05:17.040 --> 0:05:20.039 of the direct control of an automobile make its way 0:05:20.080 --> 0:05:22.440 into the vehicle and some things you wouldn't expect to 0:05:22.480 --> 0:05:24.920 see in an automobile that do make its way into 0:05:24.920 --> 0:05:28.760 that automobile. Generally it's apps and things like that, get it, 0:05:28.800 --> 0:05:31.680 but there's some hardware changes and some other surprising things 0:05:31.720 --> 0:05:34.320 along the way to right. And the first thing I 0:05:34.320 --> 0:05:37.000 want to start off with Scott is talking about Toyota. 0:05:37.240 --> 0:05:39.120 I want to get that out of the way. So, 0:05:39.760 --> 0:05:43.120 first of all, full disclosure, I was there at CES 0:05:43.240 --> 0:05:46.919 partially uh in my role as host of Forward Thinking, 0:05:46.920 --> 0:05:50.279 which is sponsored by Toyota. This show is not sponsored 0:05:50.279 --> 0:05:51.760 by Toyota, but I just wanted to get that out 0:05:51.800 --> 0:05:56.200 of the way. Uh. So they had a presentation that 0:05:56.240 --> 0:06:00.560 they were calling moving Safely into Future Mobility, and it 0:06:00.680 --> 0:06:05.080 was all really about artificial intelligence. Now, in two thousand 0:06:05.040 --> 0:06:07.919 and fifteen, it was announced that Toyota was going to 0:06:08.000 --> 0:06:11.120 fund two, well at least to start with two different 0:06:11.160 --> 0:06:13.840 research facilities, one near Stanford, one near m i T 0:06:14.600 --> 0:06:21.360 dedicated to researching artificial intelligence, specifically in regards to automotive industry, 0:06:21.440 --> 0:06:24.840 but beyond that as well. And then it was announced 0:06:24.839 --> 0:06:27.440 that they were going to put in a billion dollars 0:06:27.440 --> 0:06:30.960 over the next five years into these two research facilities. 0:06:31.360 --> 0:06:34.960 And they're they're actually working on two different things. So 0:06:35.000 --> 0:06:38.719 the Stanford group is working on something where you are 0:06:38.760 --> 0:06:42.880 trying to eliminate uncertainty in AI. And by that what 0:06:42.960 --> 0:06:47.240 they mean is, Scott, You're you're driving your car. You're 0:06:47.320 --> 0:06:51.640 driving down at highway speeds on a highway and there's 0:06:51.839 --> 0:06:53.760 a You notice that the car in front of you, 0:06:54.240 --> 0:06:56.719 uh that it's got some barrels in the bed of 0:06:56.720 --> 0:06:58.960 a truck, and one of the barrels happens to to 0:06:59.040 --> 0:07:02.720 fly out, and you of a time to react, so 0:07:02.880 --> 0:07:05.480 you managed to swerve all the way. You as a 0:07:05.560 --> 0:07:09.080 human being, you're able to recognize this extrapolate from past 0:07:09.120 --> 0:07:11.920 experience kind of no, because you know the car and 0:07:11.960 --> 0:07:14.720 know the road. You know sort of what you can do, 0:07:14.800 --> 0:07:18.239 what's within your abilities to do in reaction to something 0:07:18.280 --> 0:07:22.480 like that. The thing that the Stanford folks are working 0:07:22.560 --> 0:07:25.680 on is how do you program that kind of ability 0:07:25.840 --> 0:07:30.600 into artificial intelligence? Because machines are really good and reacting 0:07:30.640 --> 0:07:35.320 in a specific way to specific scenarios. So in other words, 0:07:35.440 --> 0:07:38.400 you could program in all, right, if a bicyclist swerves 0:07:38.400 --> 0:07:41.280 into your lane, then you slow down like you have that. 0:07:41.440 --> 0:07:45.520 If this, then that, But you can't anticipate everything, so 0:07:45.560 --> 0:07:49.680 this is like a split second reaction. Uh. Everything that 0:07:49.720 --> 0:07:52.680 goes into a human split second reaction is what they 0:07:52.720 --> 0:07:54.960 have to some kind of find some kind of way 0:07:54.960 --> 0:07:58.640 to develop for their own AI system to recognize and 0:07:58.680 --> 0:08:01.239 react the proper way. So it at what well, here's 0:08:01.240 --> 0:08:04.200 the here's the question though. Does it react to preserve 0:08:04.280 --> 0:08:05.840 the lives of the people that are in the car. 0:08:06.000 --> 0:08:09.120 Does it react to preserve the lives of people that 0:08:09.160 --> 0:08:12.040 maybe are walking on the sidewalk? This is the classic 0:08:12.160 --> 0:08:15.920 trolley problem. Okay, well, okay, yeah, that's right. So who 0:08:15.960 --> 0:08:18.120 does who does the system protect? Does it protect the 0:08:18.440 --> 0:08:20.440 driver of the vehicle or does it protect the people 0:08:20.480 --> 0:08:22.600 around surrounding that? And that's and that's one of the 0:08:22.680 --> 0:08:24.880 questions that has to be asked, right, like how how 0:08:25.400 --> 0:08:29.400 you know knowing that there's going to be ultimately, at 0:08:29.440 --> 0:08:32.280 some point a scenario where a car will have to 0:08:32.320 --> 0:08:35.040 quote unquote decide to do something that is going to 0:08:35.040 --> 0:08:38.120 put someone in harm's way, how do you determine what 0:08:38.480 --> 0:08:42.240 how the car will will make that decision? And that's 0:08:42.320 --> 0:08:45.000 that's part of it is just this idea of you 0:08:45.040 --> 0:08:49.160 can program AI to handle the mundane situations of driving. 0:08:49.800 --> 0:08:53.320 Really well, we we have pretty much got that down right. 0:08:53.400 --> 0:08:57.040 The manufacturers are essentially doing that now. They just can't 0:08:57.120 --> 0:09:00.280 legally say that you're allowed to operate that vehicle without 0:09:00.280 --> 0:09:04.040 a driver in the driver's seat, right, So under normal 0:09:04.080 --> 0:09:07.520 operating conditions, so a normal day, like in a in 0:09:07.559 --> 0:09:11.559 a temperate area, So we're not talking about whether conditions 0:09:11.600 --> 0:09:15.280 like ice or snow. We're not talking about you know, 0:09:15.679 --> 0:09:19.240 uh traffic system where maybe the traffic lights are on 0:09:19.240 --> 0:09:22.760 the blank. That could obviously cause issues with a car 0:09:22.880 --> 0:09:25.560 that is designed to wait until a green light comes up, 0:09:25.600 --> 0:09:29.160 that kind of stuff, But under normal operating conditions, they're 0:09:29.240 --> 0:09:32.760 very safe. The point that Toyota was making is that 0:09:32.760 --> 0:09:35.000 that's not the way the world works, and that you 0:09:35.040 --> 0:09:37.360 could argue that right now we have a million mile 0:09:37.640 --> 0:09:42.120 safety record with autonomous cars, just because that's the number 0:09:42.160 --> 0:09:46.120 of miles autonomous cars have traveled collectively. But they argue 0:09:46.160 --> 0:09:50.679 that we really need a trillion mile safety record to 0:09:50.920 --> 0:09:54.880 prove that autonomous cars are safe enough for us to 0:09:55.080 --> 0:09:59.160 hand over control two machines and not be at least 0:09:59.200 --> 0:10:01.200 partially and con role. Well, that's part of the reason 0:10:01.240 --> 0:10:04.280 we always see this this decade out date where they 0:10:04.280 --> 0:10:09.120 say we're gonna have this ready by or in some 0:10:09.200 --> 0:10:13.040 cases we don't even plan to have anything fully autonomous 0:10:13.040 --> 0:10:15.760 and until fifteen years from now. But we're gonna do 0:10:15.840 --> 0:10:18.280 these these incremental steps along the way so that in 0:10:18.440 --> 0:10:21.320 ten years we're gonna have one that's pretty good. It's 0:10:21.360 --> 0:10:24.920 nearly there. And so that's exactly what Toyota is saying 0:10:24.960 --> 0:10:29.400 that they want to have focus on driver assist systems 0:10:29.520 --> 0:10:32.240 where the AI can come in and help out if 0:10:32.280 --> 0:10:37.000 something extraordinary happens or if something happens outside of your awareness, uh, 0:10:37.040 --> 0:10:40.439 and help you avoid an accident, but it doesn't completely 0:10:40.520 --> 0:10:43.000 take over for the driver. Now check me if I'm 0:10:43.040 --> 0:10:45.560 wrong here. But I saw a just a little video 0:10:45.559 --> 0:10:47.400 clip of a display that was happening at one of 0:10:47.400 --> 0:10:48.960 the Toyota booths. And I don't know if this is 0:10:49.160 --> 0:10:52.120 tied into with this exactly, but they had almost looked 0:10:52.160 --> 0:10:53.720 what looked like a fish tank. It was a big 0:10:54.320 --> 0:10:57.400 area with the table and yeah, they had a lot 0:10:57.400 --> 0:10:59.319 of miniature, you know, scale model cars. I don't know 0:10:59.320 --> 0:11:01.640 if they're a previous cars or what they were, but uh, 0:11:01.679 --> 0:11:04.040 they were rolling around and I guess when they initially 0:11:04.120 --> 0:11:06.760 kind of released all these cars, maybe ten or twelve 0:11:06.840 --> 0:11:10.199 cars into this uh this this box, this glass box. Uh, 0:11:10.200 --> 0:11:11.880 they were all bumping into each other, and it was 0:11:11.960 --> 0:11:15.079 just kind of chaos. And the cars were then learning 0:11:15.520 --> 0:11:18.800 how to drive around each other without colliding with it 0:11:18.800 --> 0:11:21.240 with objects that were in the display and the and 0:11:21.440 --> 0:11:24.560 other vehicles. And by the end of the demonstration, or 0:11:24.559 --> 0:11:26.520 at least when they were showing this video clear when 0:11:26.520 --> 0:11:29.440 they were recording this clip, the cars were not colliding 0:11:29.480 --> 0:11:31.680 at all. They weren't touching. They were you know, sensing 0:11:31.679 --> 0:11:34.080 each other and moving to make something you know, making 0:11:34.080 --> 0:11:37.160 some kind of avoidance maneuver in a in a smart 0:11:37.200 --> 0:11:39.559 way so they didn't bump into another vehicle or another 0:11:39.559 --> 0:11:41.640 object or the wall or whatever. It was just it 0:11:41.720 --> 0:11:43.800 was a clever way to show that. Yeah, it was 0:11:43.880 --> 0:11:46.760 neat because again they you know, Toyota had a couple 0:11:46.760 --> 0:11:49.160 of vehicles on the show floor, but this was a 0:11:49.160 --> 0:11:53.640 way of showing off this technology, uh, in a live 0:11:53.960 --> 0:11:58.120 setting that still didn't require you to actually go outside 0:11:58.160 --> 0:12:00.800 and see a bunch of Prius is kind of pirouet 0:12:00.880 --> 0:12:03.320 around each other. Yeah, I know exactly what you're talking about, 0:12:03.320 --> 0:12:05.520 because I got a good look at this. So, yeah, 0:12:05.520 --> 0:12:07.920 it's sort of a grid and each car had its 0:12:07.920 --> 0:12:10.480 own route that it had to go along. And at 0:12:10.520 --> 0:12:13.320 first it was trying to go along this route, not 0:12:13.880 --> 0:12:17.560 really carrying what the other cars in the in the 0:12:17.600 --> 0:12:19.480 area we're trying to do. And that's where they were 0:12:19.480 --> 0:12:21.680 having these little collisions and stuff and figuring things out. 0:12:22.200 --> 0:12:25.280 My neighbor drives like that nice. And when the learning 0:12:25.280 --> 0:12:29.400 algorithm kicked in, then they were able to start, you know, 0:12:29.800 --> 0:12:32.240 pausing to let another car go in front of them 0:12:32.280 --> 0:12:34.320 before are cross in front of them before they went 0:12:34.480 --> 0:12:38.080 and uh, it became this very intricate, almost like a 0:12:38.160 --> 0:12:41.600 dance that you could watch. And they had a video 0:12:41.720 --> 0:12:44.600 streaming in the background explaining the whole process that this 0:12:44.679 --> 0:12:47.720 was a machine learning algorithm that would be applied on 0:12:47.760 --> 0:12:51.679 a much grander scale to technology that would find its 0:12:51.679 --> 0:12:53.800 way in cars down the road. It's almost like a 0:12:53.920 --> 0:12:57.240 like a fish school mentality, you know, like they all 0:12:57.280 --> 0:12:59.880 move one way together and it's all fluid and there's 0:12:59.880 --> 0:13:02.840 not really much of fish colliding all the time. You know, 0:13:03.040 --> 0:13:04.439 they all know where the other one is going. It's 0:13:04.440 --> 0:13:07.360 like maintaining that distance. Yeah, it's it seems it seems 0:13:07.360 --> 0:13:09.280 like that. It looks like that when you see it happening. Yeah, 0:13:09.320 --> 0:13:12.080 it's actually it's actually pretty cool to watch, Like I 0:13:12.120 --> 0:13:15.280 got to watch it for a really long time as 0:13:15.400 --> 0:13:18.240 we were setting up a shot and so. But yeah, 0:13:18.240 --> 0:13:21.240 it was neat seeing how these were working. And in fact, 0:13:21.320 --> 0:13:23.040 a lot of the people from Toyota said, yeah, some 0:13:23.080 --> 0:13:25.280 of our competitors were coming in to make sure that 0:13:25.320 --> 0:13:28.679 it wasn't like remote controlled vehicles that was all actually autonomous, 0:13:28.679 --> 0:13:31.079 And in fact it was autonomous. It's just like just 0:13:31.120 --> 0:13:34.199 a little little bitty model cars. Yeah. You know one 0:13:34.240 --> 0:13:36.960 thing at this that you sent me an article at 0:13:37.000 --> 0:13:39.480 least from the New York Times. Yeah, that that mentions this, 0:13:39.559 --> 0:13:42.880 you know, Toyota investment of one billion dollars in artificial 0:13:42.880 --> 0:13:44.760 intelligence here in the United States, and it said, and 0:13:45.080 --> 0:13:48.439 I thought this was pretty interesting that artificial intelligence technologies 0:13:48.440 --> 0:13:51.679 were disappointing for decades. And I've never really thought them 0:13:51.679 --> 0:13:54.960 as disappointing. I mean, I see them incrementally growing, you know, 0:13:54.960 --> 0:13:58.160 getting better. Yeah, but I never really saw them as 0:13:58.200 --> 0:14:01.160 being disappointing. I think part of it is that there 0:14:01.440 --> 0:14:05.960 is the the public expectation of what artificial intelligence is 0:14:06.880 --> 0:14:10.200 versus the actual definition of artificial intelligence. So if you 0:14:10.240 --> 0:14:12.520 if you look at artificial intelligence as being a very 0:14:12.600 --> 0:14:18.559 broad spectrum that encompasses a ton of stuff and on 0:14:18.559 --> 0:14:24.600 on the the simplest level, it's on the idea of 0:14:24.720 --> 0:14:27.720 sensing a change in the environment and being able to 0:14:27.760 --> 0:14:30.760 react to it. That's the type of artificial intelligence. And 0:14:30.920 --> 0:14:33.440 of course the far end of the spectrum is human 0:14:33.560 --> 0:14:40.360 like or superhuman intelligence, which obviously we have not really achieved. Um. 0:14:40.400 --> 0:14:42.400 But you know, a lot of people think that that 0:14:42.520 --> 0:14:45.680 superhuman or human like intelligence is the definition of AI. 0:14:45.760 --> 0:14:50.600 They don't realize necessarily that artificial intelligence means lots of 0:14:50.600 --> 0:14:52.480 different stuff. Well, just to give you an example, I 0:14:52.480 --> 0:14:55.880 mean that this article in particular mentioned Siri as a 0:14:55.880 --> 0:15:00.240 as a tremendous advancement in artificial intelligence. Now, I know 0:15:00.520 --> 0:15:02.920 that you've probably talked about this at length on the show, 0:15:03.320 --> 0:15:06.520 but I can kind of understand it. That's like, finally 0:15:07.160 --> 0:15:09.600 the general populace, I guess, is getting a chance to 0:15:09.680 --> 0:15:11.760 kind of kind of toy with this a little bit 0:15:11.760 --> 0:15:13.360 and see what it can do, what it's capable of. 0:15:13.400 --> 0:15:16.280 And I know it's a it's I don't know, I 0:15:16.640 --> 0:15:19.520 have trouble calling it true artificial intelligence. Yeah, No, it's 0:15:19.560 --> 0:15:23.600 it's it's voice recognition, which is already impressive, right, And 0:15:23.600 --> 0:15:28.480 then it's it's it's pairing that with uh an ability 0:15:28.560 --> 0:15:31.680 to execute uncertain apps or do searches. But then you 0:15:31.680 --> 0:15:34.560 think about it, if you're gonna call Sirie artificial intelligence, 0:15:34.560 --> 0:15:38.640 you might as well call a Google search artificial intelligence, 0:15:38.720 --> 0:15:42.560 because Siri is just really a new way to interface 0:15:42.840 --> 0:15:45.280 with a system that's been in place for several years 0:15:45.280 --> 0:15:48.560 exactly now. Okay, So, but we're seeing more and more 0:15:48.600 --> 0:15:53.440 stuff like Siri implemented into automobiles with voice recognition. We'll 0:15:53.440 --> 0:15:55.240 be talking a lot about that, and to be able 0:15:55.280 --> 0:15:57.880 to control certain things in the car, which are which 0:15:57.880 --> 0:16:02.080 you're getting far more advanced than they were even last year. Um. Yeah, 0:16:02.080 --> 0:16:04.800 it's crazy. Yeah, the interaction, the level of interaction. I mean, 0:16:05.040 --> 0:16:08.400 I gotta say, I've never really been all that impressed 0:16:08.440 --> 0:16:10.720 with any of these apps that you can have on 0:16:10.720 --> 0:16:12.400 your phone that maybe turn on the lights in your 0:16:12.440 --> 0:16:15.680 living room or you know, you can adjust your thermostad 0:16:15.760 --> 0:16:20.480 like you say, say that, But until you convince your 0:16:20.520 --> 0:16:23.080 loved ones that your house is haunted because you are 0:16:23.160 --> 0:16:25.320 using the app while you're at work to turn the 0:16:25.400 --> 0:16:28.720 lights on and off, you really haven't lived. I see, 0:16:28.760 --> 0:16:31.640 I see. So it's it's good for practical jokers too. Yeah, No, 0:16:31.760 --> 0:16:34.160 I've I've been guilty of that, I've turned the lights 0:16:34.240 --> 0:16:37.240 off on my wife while I was at work. That's 0:16:37.240 --> 0:16:40.640 a prettyunny trick, you know. Honestly, Like what we're going 0:16:40.680 --> 0:16:43.960 to cover here today, it goes far beyond that. I mean, 0:16:44.240 --> 0:16:46.240 because again, like I said, I'm not I haven't really 0:16:46.280 --> 0:16:48.640 been all that you know, wowed by this stuff up 0:16:48.680 --> 0:16:51.320 until this point. And now now it seems like you 0:16:51.320 --> 0:16:53.920 can really talk to this thing and make it do 0:16:54.000 --> 0:16:56.920 what you really want, I mean, And there's far reaching 0:16:57.040 --> 0:16:59.320 implications with that. Yeah, I think, uh, I think it's 0:16:59.360 --> 0:17:01.760 really cool that. I mean. That was one of the 0:17:02.160 --> 0:17:04.760 really big stories this year l c S was that 0:17:05.520 --> 0:17:10.000 this sort of connected card technology is really starting to 0:17:10.400 --> 0:17:13.520 make sense, right, It's it's gone beyond. It made me 0:17:13.520 --> 0:17:15.320 think of the way smart TVs were when they first 0:17:15.359 --> 0:17:18.280 came out. Smart TVs when they first came out, you 0:17:18.280 --> 0:17:21.359 get a widget on your screen and it would tell you, 0:17:21.359 --> 0:17:23.840 you know, what the temperature was outside and how likely 0:17:23.880 --> 0:17:26.080 is it going to rain? And it wasn't very attractive, 0:17:26.119 --> 0:17:28.720 it wasn't very useful, and often it was difficult to 0:17:28.800 --> 0:17:32.679 navigate around these systems because it was more like, hey, 0:17:32.840 --> 0:17:37.119 we can put Internet content on a television. Let's go ahead. 0:17:37.119 --> 0:17:39.560 And do that before we figure out what's the best 0:17:39.680 --> 0:17:43.240 way to incorporate it so that the experience is a 0:17:43.240 --> 0:17:45.320 positive one. And I think cars have had the same 0:17:45.359 --> 0:17:47.399 thing they are getting there now. I'll tell you because 0:17:47.440 --> 0:17:50.240 this this whole Ford Alexa, I think the years you've 0:17:50.240 --> 0:17:52.120 mentioned this is one of the topics that you wanted 0:17:52.080 --> 0:17:53.320 to talk about. Do you mind if we go to 0:17:53.320 --> 0:17:55.480 that right now? Do it all? Right? So Ford is 0:17:55.560 --> 0:18:00.159 kind of working with Echo and and Alexa and and 0:18:00.160 --> 0:18:03.440 they're incorporating this into their already existing SINC program And 0:18:03.480 --> 0:18:05.399 I think they're at the third generation of the SINC 0:18:05.480 --> 0:18:08.080 program for their cars. How do you know SINC programs 0:18:08.160 --> 0:18:10.920 right away to say that platform platform, that's a better way. 0:18:11.200 --> 0:18:13.880 So you can go to forward dot com and check 0:18:13.880 --> 0:18:15.399 out what SINK will do. But I'll tell you that 0:18:15.720 --> 0:18:17.879 this next level where they've taken out of the way. 0:18:17.880 --> 0:18:21.760 They've integrated everything that SINK will do with Echo and 0:18:21.800 --> 0:18:24.399 with Alexa. So that's like the is it a personal 0:18:24.440 --> 0:18:26.440 assistant or what do they call they call them now 0:18:26.480 --> 0:18:30.359 they're calling a voice concierge voice concierge. So I was 0:18:30.400 --> 0:18:34.240 reading an article about this from Gelotnic and it's a 0:18:34.280 --> 0:18:37.040 car site and one of the things. And this impressed me. 0:18:38.160 --> 0:18:40.399 It's not just turn the lights on and or you know, 0:18:40.880 --> 0:18:43.080 set the set the temperature. It says, you know, you 0:18:43.119 --> 0:18:45.080 can you can from your car on the way home, 0:18:45.160 --> 0:18:48.240 you can say, Alexa, turn the kitchen lights on, open 0:18:48.280 --> 0:18:50.520 the Gradu door, heat the oven to four degrees, and 0:18:50.560 --> 0:18:52.520 turn on a baseball game. So when you get home, 0:18:52.840 --> 0:18:54.880 all this stuff is ready to go. It's all set 0:18:54.920 --> 0:18:58.040 to go. And and Mercedes Benz is working with with 0:18:58.200 --> 0:19:01.160 Nest to do something very simil a uh so other 0:19:01.200 --> 0:19:04.480 autom manufacturers are working with different companies to do similar things. 0:19:04.560 --> 0:19:07.440 One of them is working with Microsoft and has Cortana, 0:19:07.560 --> 0:19:10.879 which is Microsoft version of a voice concierge, incorporating that. 0:19:10.880 --> 0:19:12.520 We'll get to that in a little bit too. And 0:19:12.520 --> 0:19:15.400 and you can you can set start times for your car. 0:19:15.520 --> 0:19:17.440 So here's the usual routine. You know, you've got the 0:19:17.480 --> 0:19:20.080 automatic start that you know the manufacturer builds in the system. 0:19:20.119 --> 0:19:22.760 That's that's one thing, right, But you still and I 0:19:22.800 --> 0:19:25.720 know this sounds kind of silly, but you still have 0:19:25.760 --> 0:19:27.639 to you don't go near the window, I guess, and 0:19:27.680 --> 0:19:29.560 look at your car and and push the button and 0:19:29.640 --> 0:19:31.639 know that you know the previous night, you turn the 0:19:31.680 --> 0:19:34.040 heat on high and the defroster on and all that stuff, 0:19:34.040 --> 0:19:36.439 and it sets or you know, some manufacturers probably has 0:19:36.440 --> 0:19:39.560 settings that automatically do that, but you have some type 0:19:39.560 --> 0:19:41.240 of physical interaction you have to do with your car 0:19:41.240 --> 0:19:42.520 in the morning. You have to remember, I'm going to 0:19:42.600 --> 0:19:45.680 turn that on ten minutes before I go out, so clear, 0:19:45.800 --> 0:19:48.320 clear off the frost on the windshield, make sure the 0:19:48.840 --> 0:19:51.520 car is a nice temperature before I get in. Exactly, 0:19:51.520 --> 0:19:54.439 it's all about comfort, right. So this system, this this 0:19:54.520 --> 0:19:58.920 new Forward Alexa ecosystem, will allow you to set a 0:19:59.040 --> 0:20:01.240 time like on on Monday morning, I want the car 0:20:01.280 --> 0:20:03.920 to start at five am, I want the interior temperature 0:20:03.920 --> 0:20:06.959 to be seventy five degrees um. I want, you know, 0:20:07.119 --> 0:20:08.800 whatever you can. You can adjust that, you can turn 0:20:08.800 --> 0:20:11.280 the radio station to whatever you want. But you can 0:20:11.320 --> 0:20:13.760 program all that in days ahead of time. It's like 0:20:13.800 --> 0:20:17.080 setting a schedule for your car. My question is with that, though, 0:20:17.480 --> 0:20:19.560 what if things change and you forget to do that, 0:20:19.600 --> 0:20:21.560 then your car is running out in the driveway for 0:20:21.880 --> 0:20:23.920 you know, an hour and a half or whatever before 0:20:23.960 --> 0:20:26.159 you remember that it's actually running. I would imagine that, 0:20:26.840 --> 0:20:29.159