WEBVTT - TechStuff Classic: High Tech at High Speed 0:00:04.400 --> 0:00:07.800 Welcome to tech Stuff, a production from I Heart Radio. 0:00:12.160 --> 0:00:14.880 Be there and welcome to tech Stuff. I'm your host, 0:00:15.080 --> 0:00:18.640 Jonathan Strickland. I'm an executive producer with I Heart Radio. 0:00:18.800 --> 0:00:21.439 And how the tech are you? It's time for a 0:00:21.520 --> 0:00:25.400 plastic episode. This one has the title high Tech at 0:00:25.520 --> 0:00:30.080 High Speed and originally published on February two thousand and sixteen. 0:00:30.960 --> 0:00:34.600 And Scott, who at the time we're hosting a podcast 0:00:34.680 --> 0:00:38.720 called car Stuff, joined the show too talk on the 0:00:38.760 --> 0:00:43.640 subject of tech in vehicle form and the kind of 0:00:43.640 --> 0:00:47.040 tech you're you're finding in vehicles. Keep in mind this 0:00:47.080 --> 0:00:50.440 is from things have changed, like this is before we 0:00:50.479 --> 0:00:53.960 started talking about stuff like paying a subscription feed in 0:00:54.040 --> 0:00:57.120 order to access your heated car seats. I'm sure that 0:00:57.480 --> 0:00:59.520 they would have a lot to say about that as well. 0:00:59.560 --> 0:01:03.080 But let's sit back and enjoy this classic episode. So 0:01:03.200 --> 0:01:06.000 today we're gonna talk about a little more in depth 0:01:06.000 --> 0:01:09.319 about some of the technology that was on display at 0:01:09.360 --> 0:01:13.440 cs SEN, specifically in regards two cars, which is why 0:01:13.480 --> 0:01:16.479 I got Scott onto the show here to kind of 0:01:16.760 --> 0:01:20.319 gauge his reactions and maybe even here your insight on 0:01:20.360 --> 0:01:22.560 some of this stuff. Well, you know I've read about it. 0:01:22.600 --> 0:01:24.240 Now you were at the show. Of course, you saw 0:01:24.280 --> 0:01:26.760 this stuff firsthand. A lot of this is just me 0:01:26.840 --> 0:01:29.200 looking at reviews of you know, what everybody else has 0:01:29.240 --> 0:01:32.200 written about this stuff. So I'm getting, you know, a 0:01:32.200 --> 0:01:33.920 different view of the whole thing. I don't get the 0:01:33.920 --> 0:01:36.280 hands on experience, but um, I'll do my best to 0:01:36.319 --> 0:01:38.840 try to keep up with you. But really the reaction 0:01:38.920 --> 0:01:41.560 maybe more of what you're going for here, because we've 0:01:41.600 --> 0:01:44.240 got opinions both ways about this. I mean, I know 0:01:44.319 --> 0:01:46.640 that your listeners have heard us uh, I guess butt 0:01:46.680 --> 0:01:49.080 heads and a couple of contutes in the past, or 0:01:49.120 --> 0:01:52.040 at least they heard that one very special episode where 0:01:52.040 --> 0:01:55.840 I I pulled the rug out from under you. I 0:01:55.920 --> 0:01:57.920 still have nightmares. That was the one where I think, 0:01:57.960 --> 0:01:59.920 I think the question was Scott, I'm gonna give you 0:02:00.000 --> 0:02:02.920 a scenario that in like ten years it's illegal to 0:02:03.000 --> 0:02:05.320 drive a car, And then then I watched your you 0:02:05.760 --> 0:02:10.200 just kind of wilt from that point on. Yeah. So 0:02:11.320 --> 0:02:12.920 one of the things I want to just mention right 0:02:12.960 --> 0:02:15.880 off the top before going into any specifics, is that 0:02:17.160 --> 0:02:20.240 the car industry is always played a part in CS 0:02:20.280 --> 0:02:22.120 as long as I have been going. This was my 0:02:22.200 --> 0:02:25.840 eight year going, and typically the North Hall of the 0:02:25.880 --> 0:02:29.800 convention center is where you'll find the car text stuff. 0:02:30.000 --> 0:02:32.760 Occasionally there will be some things out in the the 0:02:32.800 --> 0:02:35.360 actual parking lots that are around the convention center to 0:02:35.360 --> 0:02:39.560 show practical demonstrations of stuff like driver assist technologies that 0:02:39.600 --> 0:02:44.359 sort of thing. But typically most of the the exhibits 0:02:44.400 --> 0:02:47.280 are inside, so their static displays, they're not you know, 0:02:47.360 --> 0:02:48.840 you're not gonna get in the car and drive around 0:02:48.919 --> 0:02:53.359 or anything. But I've noticed that the trend has been 0:02:53.400 --> 0:02:55.720 growing year over year that that we're seeing more and 0:02:55.800 --> 0:02:58.440 more car technologies make their way into the show floor, 0:02:58.480 --> 0:03:00.760 which is kind of interesting. I mean, I get that 0:03:00.760 --> 0:03:05.160 their consumer technology, but often when I hear consumer technology, 0:03:05.240 --> 0:03:09.440 I'm thinking of smaller things, things smaller than a vehicle, 0:03:10.120 --> 0:03:13.320 right like maybe as big as like a refrigerator, But 0:03:13.480 --> 0:03:17.680 mostly I'm thinking of things in the television stereo system world, 0:03:17.720 --> 0:03:20.720 not things that you park in a garage. Well, you know, 0:03:20.919 --> 0:03:23.680 sometimes they get around this by just bringing in maybe 0:03:23.720 --> 0:03:27.400 the cockpit, the driver cockpit and the seat that is, 0:03:27.400 --> 0:03:30.320 you know, integral to whatever they're trying to show or display, 0:03:30.639 --> 0:03:32.639 and and that's enough. But sometimes they want to bring 0:03:32.639 --> 0:03:34.680 the whole vehicle because it's a whole package. Now at 0:03:34.680 --> 0:03:36.720 this point, everything is connected to everything else, and they 0:03:36.720 --> 0:03:38.360 want to show you how it all works together and 0:03:38.600 --> 0:03:41.200 how it feels when you're actually in there. There true 0:03:41.200 --> 0:03:42.840 to life product that they're going to be coming out 0:03:42.840 --> 0:03:44.600 with soon. And in fact, I noticed that there were 0:03:44.600 --> 0:03:48.160 a couple of a couple of early reveals that happened 0:03:48.160 --> 0:03:50.920 at this show that I just wanted to mention. They brought, well, 0:03:51.000 --> 0:03:55.160 Chevrolet brought to brand new vehicles for actually there aren't 0:03:55.160 --> 0:03:58.240 gonna be out until the end of and this is 0:03:58.280 --> 0:04:02.040 what's really weird to me. Brought out the Chevy Bolt, 0:04:02.600 --> 0:04:05.280 which is the hatchback or the smaller version of the 0:04:05.360 --> 0:04:10.240 Chetty Volts I guess, the updated version, And uh, it's 0:04:10.280 --> 0:04:12.920 kind of it wasn't really a reveal, it sort of was. 0:04:13.280 --> 0:04:15.640 They wanted to show off the whole technology, the whole vehicle. 0:04:15.720 --> 0:04:18.840 But later they took it to the Detroit Auto Auto 0:04:18.839 --> 0:04:21.279 Show the I guess, the North American International Auto Show 0:04:21.279 --> 0:04:24.960 in Detroit, and then that's where they officially revealed that vehicle, 0:04:25.000 --> 0:04:27.320 even though everybody at c YES had already seen it 0:04:27.320 --> 0:04:29.279 had been had been shown off like a week and 0:04:29.320 --> 0:04:32.960 a half earlier. Yeah, and similar with the Chevy Cruise hatchback, 0:04:33.320 --> 0:04:34.880 and I think that they wanted to show some of 0:04:34.880 --> 0:04:37.880 their safety technologies and some of their their advanced technologies 0:04:37.880 --> 0:04:39.920 that they were going to be bringing out in about 0:04:39.920 --> 0:04:41.520 what about a year now at this point of year 0:04:41.600 --> 0:04:44.280 and a half something like that. Uh, so interesting how 0:04:44.320 --> 0:04:46.719 they would really reveal them to the public there and 0:04:46.760 --> 0:04:48.800 then give them the official reveal you know where they 0:04:48.800 --> 0:04:51.320 pull off, you know, they do the dramatic Yankee off 0:04:51.320 --> 0:04:52.720 of the cover or you know, I have a drive 0:04:52.720 --> 0:04:56.039 out on stage at the Detroit show. Yeah, it's interesting 0:04:56.080 --> 0:04:59.279 to see ce S play home to that sort of 0:04:59.400 --> 0:05:03.320 announcement or non announcement almost where you do get this 0:05:03.400 --> 0:05:07.280 early look at stuff that normally would be reserved for 0:05:07.320 --> 0:05:10.760 an auto show or or even just a press event 0:05:10.800 --> 0:05:14.360 for that specific company. Um, it's kind of showing how 0:05:14.440 --> 0:05:19.040 c e S and cars are meshing together. In fact, 0:05:19.080 --> 0:05:21.000 that's going to be a theme throughout this episode, is 0:05:21.040 --> 0:05:25.280 about how we're seeing sort of high text stuff outside 0:05:25.279 --> 0:05:28.320 of the direct control of an automobile make its way 0:05:28.360 --> 0:05:30.719 into the vehicle, and some things you wouldn't expect to 0:05:30.720 --> 0:05:33.160 see in an automobile that do make its way into 0:05:33.160 --> 0:05:36.760 that automobile. Generally it's apps and things like that should 0:05:36.800 --> 0:05:39.200 get it, but there's some hardware changes and some other 0:05:39.240 --> 0:05:42.279 surprising things along the way to right. And the first 0:05:42.320 --> 0:05:44.279 thing I want to start off with Scott is talking 0:05:44.320 --> 0:05:47.360 about Toyota. I want to get that out of the way. So, 0:05:48.040 --> 0:05:50.880 first of all, full disclosure, I was there at c 0:05:51.360 --> 0:05:55.159 S partially uh in my role as host of Forward Thinking, 0:05:55.160 --> 0:05:58.520 which is sponsored by Toyota. This show is not sponsored 0:05:58.520 --> 0:06:00.080 by Toyota, but I just wanted to get that all 0:06:00.120 --> 0:06:04.640 the way. Uh. So they had a presentation that they 0:06:04.640 --> 0:06:09.040 were calling moving Safely into Future Mobility, and it was 0:06:09.080 --> 0:06:13.919 all really about artificial intelligence. Now, in two thousand and fifteen, 0:06:14.600 --> 0:06:16.920 it was announced that Toyota was going to fund two, 0:06:17.200 --> 0:06:20.400 well at least to start with two different research facilities, 0:06:20.400 --> 0:06:23.520 one near Stanford, one near m i T dedicated to 0:06:23.600 --> 0:06:29.840 researching artificial intelligence, specifically in regards to automotive industry, but 0:06:30.120 --> 0:06:33.159 beyond that as well. And then it was announced that 0:06:33.200 --> 0:06:35.880 they were going to put in a billion dollars over 0:06:35.880 --> 0:06:39.839 the next five years into these two research facilities. And 0:06:39.880 --> 0:06:43.359 they're they're actually working on two different things. So the 0:06:43.400 --> 0:06:47.400 Stanford group is working on something where you are trying 0:06:47.440 --> 0:06:51.279 to eliminate uncertainty in AI. And by that what they 0:06:51.360 --> 0:06:55.920 mean is, Scott, You're you're driving your car. You're driving 0:06:55.960 --> 0:07:00.479 down at highway speeds on a highway and there's you 0:07:00.600 --> 0:07:03.080 notice that the car in front of you, uh that 0:07:03.520 --> 0:07:05.359 it's got some barrels in the bed of a truck. 0:07:05.400 --> 0:07:07.800 And one of the barrels happens to to fly out, 0:07:07.839 --> 0:07:11.840 and you have a time to react, so you managed 0:07:11.880 --> 0:07:14.360 to swerve all the way. You as a human being, 0:07:14.600 --> 0:07:18.320 you're able to recognize this extrapolate from past experience kind 0:07:18.320 --> 0:07:20.840 of no, because you know the car and know the road. 0:07:21.440 --> 0:07:23.680 You know sort of what you can do, what's within 0:07:23.760 --> 0:07:26.840 your abilities to do in reaction to something like that. 0:07:28.240 --> 0:07:31.160 The thing that the Stanford folks are working on is 0:07:31.280 --> 0:07:35.520 how do you program that kind of ability into artificial intelligence? 0:07:35.520 --> 0:07:39.640 Because machines are really good and reacting in a specific 0:07:39.680 --> 0:07:44.040 way to specific scenarios. So in other words, you could 0:07:44.040 --> 0:07:47.360 program in, all right, if a bicyclist swerves into your lane, 0:07:47.360 --> 0:07:50.080 then you slow down like you have that. If this, 0:07:50.360 --> 0:07:54.080 then that, But you can't anticipate everything, so this is 0:07:54.080 --> 0:07:58.440 like a split second reaction. Uh. Everything that goes into 0:07:58.520 --> 0:08:01.040 a human split second reaction and is what they have 0:08:01.160 --> 0:08:03.320 to some kind of find some kind of way to 0:08:03.360 --> 0:08:07.280 develop for their own AI system to recognize and react 0:08:07.280 --> 0:08:09.560 the proper way so that it what Well, here's the 0:08:09.640 --> 0:08:12.600 here's the question though. Does it react to preserve the 0:08:12.640 --> 0:08:14.440 lives of the people that are in the car. Does 0:08:14.440 --> 0:08:17.720 it react to preserve the lives of people that maybe 0:08:17.800 --> 0:08:22.800 are walking on the sidewalk? This is the classic trolley problem. Okay, well, okay, yeah, 0:08:22.840 --> 0:08:25.640 that's right. So who does who does the system protect? 0:08:25.680 --> 0:08:27.760 Does it protect the driver of the vehicle or does 0:08:27.760 --> 0:08:30.360 it protect the people around surrounding that? And that's and 0:08:30.400 --> 0:08:32.480 that's one of the questions that has to be asked, right, 0:08:32.559 --> 0:08:35.560 like how how you know knowing that there's going to 0:08:35.600 --> 0:08:40.040 be ultimately at some point a scenario where a car 0:08:40.160 --> 0:08:42.840 will have to quote unquote decide to do something that 0:08:42.960 --> 0:08:45.360 is going to put someone in harm's way, how do 0:08:45.400 --> 0:08:48.920 you determine what how the car will will make that decision? 0:08:49.480 --> 0:08:52.200 And that's that's part of it is just this idea 0:08:52.280 --> 0:08:56.800 of you can program AI to handle the mundane situations 0:08:56.840 --> 0:09:00.560 of driving. Really well, we we have pretty got that 0:09:00.760 --> 0:09:04.839 down right. The manufacturers are essentially doing that now, they 0:09:04.880 --> 0:09:07.760 just can't legally say that you're allowed to operate that 0:09:07.880 --> 0:09:11.040 vehicle without a driver in the driver's seat, right, So 0:09:11.640 --> 0:09:15.480 under normal operating conditions, so a normal day like in 0:09:15.520 --> 0:09:18.520 a in a temperate area, So we're not talking about 0:09:18.920 --> 0:09:23.079 whether conditions like ice or snow. We're not talking about 0:09:23.240 --> 0:09:27.360 you know, traffic system where maybe the traffic lights are 0:09:27.400 --> 0:09:30.800 on the blank. That could obviously cause issues with a 0:09:30.800 --> 0:09:33.439 car that is designed to wait until a green light 0:09:33.480 --> 0:09:36.480 comes up, that kind of stuff, But under normal operating 0:09:36.480 --> 0:09:40.600 conditions they're very safe. The point that Toyota was making 0:09:40.760 --> 0:09:42.760 is that that's not the way the world works, and 0:09:42.840 --> 0:09:44.840 that you could argue that right now, we have a 0:09:44.880 --> 0:09:49.720 million mile safety record with autonomous cars, just because that's 0:09:49.760 --> 0:09:53.720 the number of miles autonomous cars have traveled collectively. But 0:09:53.800 --> 0:09:57.560 they argue that we really need a trillion mile safety 0:09:58.400 --> 0:10:02.760 record to prove that autonomous cars are safe enough for 0:10:02.880 --> 0:10:06.640 us to hand over control two machines and not be 0:10:06.960 --> 0:10:09.200 at least partially in control. Well, that's part of the 0:10:09.200 --> 0:10:12.360 reason we always see this this decade out date where 0:10:12.400 --> 0:10:17.199 they say we're gonna have this ready by or in 0:10:17.240 --> 0:10:21.280 some cases we don't even plan to have anything fully autonomous, 0:10:21.280 --> 0:10:24.000 and until fifteen years from now, but we're gonna do 0:10:24.080 --> 0:10:26.520 these these incremental steps along the way so that in 0:10:26.679 --> 0:10:29.560 ten years we're gonna have one that's pretty good. It's 0:10:29.600 --> 0:10:33.160 nearly there, and so that's exactly what Toyota is saying 0:10:33.200 --> 0:10:37.640 that they want to have focus on driver assist systems 0:10:37.800 --> 0:10:40.480 where the AI can come in and help out if 0:10:40.520 --> 0:10:45.240 something extraordinary happens or if something happens outside of your awareness, uh, 0:10:45.280 --> 0:10:48.760 and help you avoid an accident, but it doesn't completely 0:10:48.760 --> 0:10:51.280 take over for the driver. Now check me if I'm 0:10:51.280 --> 0:10:53.800 wrong here. But I saw a just a little video 0:10:53.840 --> 0:10:55.640 clip of a display that was happening at one of 0:10:55.640 --> 0:10:57.240 the Toyota booths. And I don't know if this is 0:10:57.440 --> 0:11:00.360 tied into with this exactly, but they had must look 0:11:00.440 --> 0:11:01.959 what looked like a fish tank. It was a big 0:11:02.600 --> 0:11:05.640 area with the table and yeah, they had a lot 0:11:05.679 --> 0:11:07.559 of miniature, you know, scale model cars. I don't know 0:11:07.559 --> 0:11:09.880 if they were previous cars or what they were, but uh, 0:11:09.920 --> 0:11:12.280 they were rolling around and I guess when they initially 0:11:12.400 --> 0:11:15.080 kind of released all these cars, maybe ten or twelve 0:11:15.080 --> 0:11:18.440 cars into this uh this this boxes glass box. Uh, 0:11:18.480 --> 0:11:20.160 they were all bumping into each other and it was 0:11:20.200 --> 0:11:23.320 just kind of chaos and the cars were then learning 0:11:23.800 --> 0:11:27.040 how to drive around each other without colliding with it 0:11:27.040 --> 0:11:29.480 with objects that were in the display and the and 0:11:29.679 --> 0:11:32.760 other vehicles, and by the end of the demonstration, or 0:11:32.800 --> 0:11:34.760 at least when they were showing this video, clear when 0:11:34.760 --> 0:11:37.720 they were recording this clip, the cars were not colliding 0:11:37.720 --> 0:11:39.920 at all. They weren't touching. They were you know, sensing 0:11:39.920 --> 0:11:42.320 each other and moving to make something, you know, making 0:11:42.320 --> 0:11:45.400 some kind of avoidance maneuver in a in a smart 0:11:45.440 --> 0:11:47.800 way so they didn't bump into another vehicle or another 0:11:47.840 --> 0:11:49.920 object or the wall or whatever. It was just it 0:11:49.960 --> 0:11:52.040 was a clever way to show that. Yeah, it was 0:11:52.160 --> 0:11:55.000 neat because again they you know, Toyota had a couple 0:11:55.000 --> 0:11:57.400 of vehicles on the show floor, but this was a 0:11:57.440 --> 0:12:01.880 way of showing off this technology, uh, in a live 0:12:02.240 --> 0:12:06.400 setting that still didn't require you to actually go outside 0:12:06.440 --> 0:12:09.040 and see a bunch of Prius is kind of pirouet 0:12:09.120 --> 0:12:11.560 around each other. Yeah, I know exactly what you're talking about, 0:12:11.559 --> 0:12:13.760 because I got a good look at this. So, yeah, 0:12:13.760 --> 0:12:16.160 it's sort of a grid and each car had its 0:12:16.200 --> 0:12:18.719 own route that it had to go along, and at 0:12:18.760 --> 0:12:21.560 first it was trying to go along this route, not 0:12:22.120 --> 0:12:25.800 really caring what the other cars in the in the 0:12:25.840 --> 0:12:27.720 area we're trying to do, and that's where they were 0:12:27.760 --> 0:12:29.880 having these little collisions and stuff and figuring things out 0:12:31.280 --> 0:12:35.360 that nice and when the learning algorithm kicked in, then 0:12:35.400 --> 0:12:38.680 they were able to start, you know, was pausing to 0:12:38.800 --> 0:12:41.040 let another car go in front of them before our 0:12:41.120 --> 0:12:43.760 cross in front them before they went and uh, it 0:12:43.960 --> 0:12:47.320 became this very intricate, almost like a dance that you 0:12:47.360 --> 0:12:50.520 could watch, and they had a video streaming in the 0:12:50.559 --> 0:12:53.560 background explaining the whole process that this was a machine 0:12:53.640 --> 0:12:56.760 learning algorithm that would be applied on a much grander 0:12:56.800 --> 0:13:00.840 scale to technology that would find its in cars down 0:13:00.840 --> 0:13:04.760 the road. It's almost like a like a fish school mentality, 0:13:04.840 --> 0:13:06.640 you know, like they all move one way together and 0:13:06.679 --> 0:13:09.480 it's all fluid and there's not really much of fish 0:13:09.559 --> 0:13:11.839 colliding all the time. You know, they all know where 0:13:11.840 --> 0:13:14.440 the other one is going. It's like maintaining that distance. Yeah, 0:13:14.440 --> 0:13:16.280 it's it seems it seems like that. It looks like 0:13:16.320 --> 0:13:18.240 that when you see it happening. Yeah, it's actually it's 0:13:18.240 --> 0:13:20.920 actually pretty cool to watch. Like I got to watch 0:13:20.920 --> 0:13:24.240 it for a really long time as we were setting 0:13:24.280 --> 0:13:26.960 up a shot and so but yeah, it was neat 0:13:27.040 --> 0:13:29.800 seeing how these were working. And in fact, a lot 0:13:29.800 --> 0:13:31.680 of the people from Toyota said, yeah, some of our 0:13:31.920 --> 0:13:33.960 competitors were coming in to make sure that it wasn't 0:13:34.000 --> 0:13:37.000 like remote controlled vehicles that was all actually autonomous. And 0:13:37.240 --> 0:13:39.720 in fact it was autonomous. It's just like a little 0:13:40.000 --> 0:13:42.960 little bitty model cars. Yeah. You know, one thing as 0:13:43.040 --> 0:13:45.760 this that you sent me an article at least from 0:13:45.760 --> 0:13:47.959 the New York Times. Yeah, that that mentions this, you know, 0:13:48.000 --> 0:13:51.840 Toyota investment of one billion dollars in artificial intelligence here 0:13:51.840 --> 0:13:53.600 in the United States, and it said, and I thought 0:13:53.640 --> 0:13:57.640 this was pretty interesting that artificial intelligence technologies were disappointing 0:13:57.720 --> 0:14:00.720 for decades. And I've never really thought on the disappointing. 0:14:00.760 --> 0:14:04.280 I mean, I see them incrementally growing, you know, getting better. Yeah, 0:14:04.520 --> 0:14:07.520 but I never really saw them as being disappointing. I 0:14:07.520 --> 0:14:10.960 think part of it is that there is the the 0:14:11.200 --> 0:14:16.400 public expectation of what artificial intelligence is versus the actual 0:14:16.440 --> 0:14:18.839 definition of artificial intelligence. So if you if you look 0:14:18.880 --> 0:14:23.080 at artificial intelligence as being a very broad spectrum that 0:14:23.360 --> 0:14:28.160 encompasses a ton of stuff and on on the the 0:14:28.280 --> 0:14:33.760 simplest level, it's on the the idea of sensing a 0:14:33.880 --> 0:14:36.680 change in the environment and being able to react to it. 0:14:37.080 --> 0:14:39.720 That's the type of artificial intelligence. And of course the 0:14:39.800 --> 0:14:43.760 far end of the spectrum is human like or superhuman intelligence, 0:14:43.800 --> 0:14:49.160 which obviously we have not really achieved. Um. But you 0:14:49.200 --> 0:14:51.520 know a lot of people think that that superhuman or 0:14:51.600 --> 0:14:54.360 human like intelligence is the definition of AI. They don't 0:14:54.400 --> 0:14:59.520 realize necessarily that artificial intelligence means lots of different stuff. 0:14:59.560 --> 0:15:01.160 Well just give you an example. I mean that this 0:15:01.280 --> 0:15:04.880 article in particular mentioned Siri as a as a tremendous 0:15:04.920 --> 0:15:09.440 advancement in artificial intelligence. Now, I know that you've probably 0:15:09.440 --> 0:15:12.600 talked about this at length on the show, but I 0:15:12.600 --> 0:15:16.520 can kind of understand it. That's like, finally the general populace, 0:15:16.640 --> 0:15:18.680 I guess, is getting a chance to kind of kind 0:15:18.680 --> 0:15:20.440 of toy with this a little bit and see what 0:15:20.480 --> 0:15:21.920 it can do, what it's capable of. And I know 0:15:22.000 --> 0:15:25.760 it's a it's I don't know, I have trouble calling 0:15:25.760 --> 0:15:29.480 it true artificial intelligence. Yeah. No, it's it's it's voice recognition, 0:15:29.520 --> 0:15:33.480 which is already impressive, right, And then it's it's it's 0:15:33.520 --> 0:15:38.720 pairing that with UH an ability to execute uncertain apps 0:15:38.840 --> 0:15:40.800 or do searches. But then you think about it, if 0:15:40.800 --> 0:15:43.360 you're gonna call Sirie artificial intelligence, you might as well 0:15:43.400 --> 0:15:48.640 call a Google Search artificial intelligence, because Siri is just 0:15:48.880 --> 0:15:52.080 really a new way to interface with a system that's 0:15:52.120 --> 0:15:54.800 been in place for several years exactly now. Okay, so, 0:15:55.200 --> 0:15:59.119 but we're seeing more and more stuff like Siri implemented 0:15:59.160 --> 0:16:02.680 into automob be recognition. We'll be talking a lot about that, 0:16:02.800 --> 0:16:05.600 and to be able to control certain things in the car, 0:16:05.640 --> 0:16:07.640 which are what you're getting far more advanced than they 0:16:07.640 --> 0:16:11.720 were even last year. Um. Yeah, it's crazy. Yeah, the interaction, 0:16:11.800 --> 0:16:14.360 the level of interaction. I mean, I gotta say, I've 0:16:14.360 --> 0:16:17.680 never really been all that impressed with any of these 0:16:17.720 --> 0:16:19.760 apps that you can have on your phone that maybe 0:16:19.760 --> 0:16:22.560 turn on the lights in your living room or you know, 0:16:22.560 --> 0:16:25.280 you can adjust your thermostad like you stand to get it. 0:16:25.520 --> 0:16:29.360 You say that, but until you convince your loved ones 0:16:29.400 --> 0:16:31.840 that your house is haunted because you are using the 0:16:31.880 --> 0:16:34.000 app while you're at work to turn the lights on 0:16:34.080 --> 0:16:37.360 and off, you really haven't lived. I see, I see. 0:16:37.360 --> 0:16:39.880 So it's it's good for practical jokers too. Yeah. No, 0:16:40.000 --> 0:16:42.440 I've I've been guilty of that. I've turned the lights 0:16:42.480 --> 0:16:45.480 off on my wife while I was at work. That's 0:16:45.520 --> 0:16:48.880 pretty funny trick, you know. Honestly, like what we're going 0:16:48.960 --> 0:16:52.160 to cover here today, it goes far beyond that. I mean, 0:16:52.480 --> 0:16:54.520 because again, like I said, I'm not I haven't really 0:16:54.520 --> 0:16:56.880 been all that you know, wowed by this stuff up 0:16:56.920 --> 0:16:59.520 until this point. And now now it seems like you 0:16:59.560 --> 0:17:02.000 can re lee talked to this thing and make it 0:17:02.040 --> 0:17:04.720 do what you really want, I mean, and there's far 0:17:04.800 --> 0:17:07.400 reaching implications with that. Yeah, I think, uh, I think 0:17:07.400 --> 0:17:09.919 it's really cool that, I mean. That was one of 0:17:09.960 --> 0:17:12.840 the really big stories this year l c ES was 0:17:12.880 --> 0:17:18.120 that this sort of connected card technology is really starting 0:17:18.160 --> 0:17:21.680 to make sense, right, it's it's gone beyond. It made 0:17:21.680 --> 0:17:23.399 me think of the way smart TVs were when they 0:17:23.400 --> 0:17:25.440 first came out. Smart TVs when they first came out, 0:17:26.440 --> 0:17:29.160 you get a widget on your screen and it would 0:17:29.160 --> 0:17:31.560 tell you, you know, what the temperature was outside and 0:17:31.560 --> 0:17:33.600 how likely is it going to rain? And it wasn't 0:17:33.680 --> 0:17:36.440 very attractive, it wasn't very useful, and often it was 0:17:36.480 --> 0:17:40.919 difficult to navigate around these systems because it was more like, hey, 0:17:41.080 --> 0:17:45.040 we can put internet content on a television. Let's go 0:17:45.080 --> 0:17:47.440 ahead and do that before we figure out what's the 0:17:47.480 --> 0:17:51.359 best way to incorporate it so that the experience is 0:17:51.400 --> 0:17:53.320 a positive one and I think cars have had the 0:17:53.359 --> 0:17:55.280 same thing they are getting there. Now I'll tell you 0:17:55.359 --> 0:17:58.240 because this this whole Forward Alexa, I think the years 0:17:58.320 --> 0:18:00.119 you've mentioned as this is one of the top so 0:18:00.160 --> 0:18:01.440 you wanted to talk about you mind if we go 0:18:01.480 --> 0:18:03.320 to that right now to it all right? So Ford 0:18:03.680 --> 0:18:08.320 is kind of working with Echo and and Alexa and uh, 0:18:08.320 --> 0:18:11.640 and they're incorporating this into their already existing SINC program 0:18:11.640 --> 0:18:13.359 and I think they're at the third generation of the 0:18:13.359 --> 0:18:15.760 SINC program for their cars. How do you know SINC 0:18:15.840 --> 0:18:18.440 program is the right way to say that platform platform, 0:18:18.480 --> 0:18:21.400 it's a better way. So you can go to forward 0:18:21.480 --> 0:18:23.040 dot com and check out what SINK will do. But 0:18:23.080 --> 0:18:25.800 I'll tell you that this next level where they've taken 0:18:25.800 --> 0:18:27.960 out of the way. They've integrated everything that SINK will 0:18:27.960 --> 0:18:31.320 do with Echo and with Alexa. So that's like the 0:18:31.680 --> 0:18:33.719 is it a personal assistant or what do they call 0:18:34.040 --> 0:18:37.959 they call them now they're calling a voice concierge voice concierge. 0:18:38.040 --> 0:18:41.280 So I was reading an article about this from Gelapnic 0:18:41.760 --> 0:18:44.480 and it's a car site and one of the things 0:18:44.480 --> 0:18:47.760 and this impressed me. It's not just turn the lights 0:18:47.800 --> 0:18:50.200 on and or you know, set the set the temperature, 0:18:50.200 --> 0:18:52.520 it says, you know, you can you can from your 0:18:52.520 --> 0:18:55.280 car on the way home, you can say, Alexa, turn 0:18:55.320 --> 0:18:57.480 the kitchen lights on, open the Gradu door, heat the 0:18:57.520 --> 0:18:59.960 oven to four degrees, and turn on a baseball game. 0:19:00.040 --> 0:19:02.120 So when you get home, all this stuff is ready 0:19:02.160 --> 0:19:04.879 to go. It's all set to go. And and Mercedes 0:19:04.920 --> 0:19:08.440 Benz is working with with Nest to do something very similar. 0:19:08.960 --> 0:19:11.840 So other auto manufacturers are working with different companies to 0:19:11.920 --> 0:19:14.520 do similar things. One of them is working with Microsoft 0:19:14.600 --> 0:19:18.280 and has Cortana, which is Microsoft version of a voice concierge, 0:19:18.400 --> 0:19:20.440 incorporating that. We'll get to that in a little bit too. 0:19:20.560 --> 0:19:23.280 And and you can you can set start times for 0:19:23.320 --> 0:19:25.280 your car. So here's the usual routine. You know, you've 0:19:25.280 --> 0:19:27.760 got the automatic start that you know, the manufacturer builds 0:19:27.760 --> 0:19:30.040 into the system. That's that's one thing, right, But you 0:19:30.320 --> 0:19:33.199 still and I know this sounds kind of silly, but 0:19:33.520 --> 0:19:35.480 you still have to you don't go near the window, 0:19:35.480 --> 0:19:37.280 I guess, and look at your car and and push 0:19:37.320 --> 0:19:39.560 the button and knowing you know the previous night, you 0:19:39.600 --> 0:19:41.680 turn the heat on high and the defroster on and 0:19:41.720 --> 0:19:43.639 all that stuff and it sets or you know, some 0:19:43.720 --> 0:19:46.720 manufacturers probably has settings that automatically do that, but you 0:19:47.119 --> 0:19:49.080 have some type of physical interaction you have to do 0:19:49.119 --> 0:19:50.440 with your car in the morning. You have to remember, 0:19:50.440 --> 0:19:52.159 I'm going to turn that on ten minutes before I 0:19:52.160 --> 0:19:55.800 go out. Clear, clear off the frost on the windshield. 0:19:56.119 --> 0:19:58.840 Make sure the car is a nice temperature before I 0:19:58.840 --> 0:20:02.160 get in exactly so about comfort. Right. So this system, 0:20:02.320 --> 0:20:06.320 this is this new forward Alexa ecosystem, will allow you 0:20:06.359 --> 0:20:09.040 to set a time like on on Monday morning, I 0:20:09.119 --> 0:20:11.280 want the car to start at five am. I want 0:20:11.320 --> 0:20:14.680 the interior temperature to be seventy five degrees um. I want, 0:20:14.960 --> 0:20:16.680 you know, whatever you can. You could adjust that, you 0:20:16.680 --> 0:20:19.240 can turn the radio station to whatever you want. But 0:20:19.280 --> 0:20:21.720 you can program all that in days ahead of time. 0:20:21.760 --> 0:20:24.440 It's like setting a schedule for your car. My question 0:20:24.560 --> 0:20:27.080 is with that, though, what if things change and you 0:20:27.119 --> 0:20:28.840 forget to do that, then your car is running out 0:20:28.840 --> 0:20:31.240 in the driveway for you know, an hour and a 0:20:31.280 --> 0:20:33.520 half or whatever before you remember that it's actually running. 0:20:33.520 --> 0:20:36.520 I would imagine that, assuming you're having this worked with 0:20:36.600 --> 0:20:38.840