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Speaker 1: No initiating rich on Tech. What's going on? Rich Demiro here?

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Speaker 2: Rich on Tech coming to you from the CS convention

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Speaker 2: show floor. This is the podcast where we talk about

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Speaker 2: the tech stuff I think you should know about and

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Speaker 2: we answer your tech questions.

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Speaker 1: Producer Megan is with me.

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Speaker 3: Hello.

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Speaker 1: We let me just paint the scene for you. Right now.

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Speaker 2: We are in the back of a minivan, a Chrysler

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Speaker 2: pacifica totally souped up like this is the best minivan

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Speaker 2: I've ever been in, literally on the CES show floor

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Speaker 2: here in Las Vegas, Nevada, United States, Earth Eric Galaxy one.

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Speaker 1: I don't know.

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Speaker 2: I'm just bringing it out in case you listen in

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Speaker 2: different worlds, you know, But I'm telling you CES twenty

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Speaker 2: twenty here in Las Vegas is quite the show. We

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Speaker 2: have been here since Sunday CS. Let me just let

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Speaker 2: me just explain what CS is all about. If you

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Speaker 2: have never been, Uh, it is the wildest ride you

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Speaker 2: can imagine for technology because what they do is they

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Speaker 2: just have literally one hundred and seventy thousand people from

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Speaker 2: around the world, plus companies from around the world that

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Speaker 2: all come here to kind of show off the latest

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Speaker 2: and greatest. And when I say, a lot of people,

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Speaker 2: a lot of stuff. Megan, this is your.

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Speaker 3: Second time, Yeah, my second time.

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Speaker 1: How does it differ from your first time?

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Speaker 3: I think the.

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Speaker 4: First time, I had just started this job, but it

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Speaker 4: was just like a complete like a shock, like to

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Speaker 4: the system.

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Speaker 1: Yeah.

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Speaker 4: But we also went to see US Asia this year,

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Speaker 4: and I remember in see us Asia, I felt like

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Speaker 4: like I kind of understood how to walk around the

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Speaker 4: floor and like I had a better understanding. And this time,

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Speaker 4: I think it's just like every time you start to

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Speaker 4: get it right right.

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Speaker 2: Yeah, Like when I first went to CS, it'd be

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Speaker 2: like Vegas. Oh my gosh, party, party, party, work, work, work,

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Speaker 2: no sleep, no sleep.

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Speaker 1: And I realized by the end of the time, I'm

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Speaker 1: just kidding.

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Speaker 2: You're no, you're for someone your age. You're very You're

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Speaker 2: you've been very tame. Believe me, because ten years ago

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Speaker 2: at CS for me way wild. I mean it was

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Speaker 2: just insane. I mean I remember going out like nine

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Speaker 2: o'clock at night to parties and just you know, getting

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Speaker 2: up at two am for my stuff on KTLA. And

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Speaker 2: I don't really do that anymore because I probably can't.

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Speaker 2: I can't do you know, yeah, my body can't do that.

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Speaker 1: Anymore.

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Speaker 3: I'm a grandma, so I can't even do that.

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Speaker 1: Megan producer, Grandma Meghan.

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Speaker 3: Yeah.

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Speaker 2: So we saw so many things this week. I saw

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Speaker 2: so many things. My camera roll is just overflowed with stuff.

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Speaker 2: I saw everything from the latest automated cars. I took

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Speaker 2: us a drive and a self driving car from Qualcom.

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Speaker 2: We saw so many robots, We saw little gadgets, we

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Speaker 2: saw big gadgets.

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Speaker 1: I saw adult gadgets.

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Speaker 2: That was the first year that they had this at

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Speaker 2: the show floor, and that was very interesting because it's

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Speaker 2: all just kind of mixed in to the stuff here.

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Speaker 1: What else I mean.

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Speaker 2: I just walked around this morning for about three hours

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Speaker 2: over at what's called this This is like another convention center.

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Speaker 2: It's CS is so big that it can't fit under

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Speaker 2: one roof and it takes over the entire town. And

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Speaker 2: I walked over there and they had an entire area

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Speaker 2: of like all the international companies and all these little

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Speaker 2: tiny startups from France and Taiwan.

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Speaker 1: And I got ramen out of a ramen vending machine,

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Speaker 1: which was so amazing.

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Speaker 2: And here's what I will tell you, and I probably

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Speaker 2: talk about this on this podcast a lot, but I

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Speaker 2: love being media at events like this, and the reason

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Speaker 2: why I love being media at events like this and

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Speaker 2: someone's opening the door to our minivan here, yeah, is

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Speaker 2: that they they love to take care of you. And

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Speaker 2: I walked right up to the vending machine. I was like,

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Speaker 2: you know, they're not really doing samples. I'm like, would

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Speaker 2: you mind making a sample? And sure, they made me

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Speaker 2: hot ramen in forty five seconds, which, by the way,

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Speaker 2: I wolfed down.

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Speaker 1: It was so delicious.

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Speaker 2: So I went up to this coke vending machine where

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Speaker 2: they have this new thing called Coke Energy, and I'm like, hey,

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Speaker 2: you know, mind if I get a you know, this

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Speaker 2: huge line, and then you know, if you go up

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Speaker 2: to a booth, they're always maybe locked the door. Actually,

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Speaker 2: you go up to a booth and you know they

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Speaker 2: want to accommodate you.

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Speaker 1: Immediately give you a demo and.

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Speaker 2: They roll out the red carpet for you because they

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Speaker 2: know that you can amplify the message of what they're

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Speaker 2: trying to show. And I love my favorite thing about

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Speaker 2: cs just finding little, cool, awesome things. And so I'm

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Speaker 2: going to go through a whole bunch of gadgets that

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Speaker 2: I saw, you know, and look, if you want me

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Speaker 2: to talk about what you know Samsung did or what

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Speaker 2: Sony did. You're probably not going to hear too much

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Speaker 2: about that at this podcast because I more want to

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Speaker 2: find the little things. You're gonna of course hear those

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Speaker 2: in the headlines. But I found a lot of little

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Speaker 2: things I thought were really cool. And yeah, I'll have

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Speaker 2: some big companies as well, but I think the number

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Speaker 2: one thing, I'll just start with the pizza robot, because

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Speaker 2: this has gone viral on my Twitter.

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Speaker 1: Yah, and this was actually Megan's find.

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Speaker 2: But we went to this company called Picnic and they

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Speaker 2: make a robot that makes pizzas really fast, and it

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Speaker 2: got a lot of play on Twitter because one of

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Speaker 2: the presidential candidates retweeted my tweet about it, and when

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Speaker 2: that happened, people it just went crazy.

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Speaker 3: It exploded.

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Speaker 1: Yeah, and so this little.

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Speaker 2: Robot was really tough to get because it's making pizzas

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Speaker 2: for the people at the convention center. And everyone was

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Speaker 2: debating on Twitter, like I said, it had AI and

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Speaker 2: people are like, oh, there's no AI. That's just an

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Speaker 2: assembly robot. It's just a basic automation robot. But that's

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Speaker 2: not true. What we showed was it making pizza. But

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Speaker 2: what it can do is. It can make tacos, it

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Speaker 2: can assemble salads, It can assemble anything that has ingredients

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Speaker 2: and some sort of whatever you put them on a

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Speaker 2: bun or sandwich, tacos, subway. Imagine a subway sandwich artist

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Speaker 2: being displaced by this machine. And then people get on

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Speaker 2: me because they say, Rich, are you trying to take

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Speaker 2: away everyone's jobs. I'm not creating robot, I'm not promoting it.

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Speaker 2: This is my job to cover this. Would you rather

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Speaker 2: not know that this is coming down the line? If

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Speaker 2: there was an automated check producer, would you rather be

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Speaker 2: blindsided by the fact that I'm, like, Megan, I'm replacing

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Speaker 2: you with a robot.

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Speaker 1: Yeah?

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Speaker 4: No, I mean, like I compared it to you know,

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Speaker 4: manufacturing cars, you know, back fifty years ago or whenever

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Speaker 4: they switched from humans to robots, Like of course people

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Speaker 4: were upset, and now it's just the way it is.

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Speaker 4: And cars are made by robots. Food, I mean, made

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Speaker 4: by robots sounds kind of crazy, but at the same time,

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Speaker 4: it's like it's safer, it's not you know, there's a

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Speaker 4: lot of good to it as.

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Speaker 2: Well, and there's also like, i mean, it's little things

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Speaker 2: like if you're running a business. And let's say that

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Speaker 2: you have humans doing this. Out of every five pizzas

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Speaker 2: or I don't know what the number is, the human

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Speaker 2: probably makes a mistake that's big enough to ruin that pizza.

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Speaker 1: Or when they put.

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Speaker 2: The cheese on, they're putting on ten percent more than

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Speaker 2: they should, or they're putting on olives and five olives

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Speaker 2: every hour fall off.

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Speaker 1: Onto the floor. Yeah, well, the robot.

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Speaker 2: And this is where these business minds come in. They say, look,

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Speaker 2: we're going to cut costs by ten percent and boom,

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Speaker 2: Now you've just increased productivity. Now I get it, that

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Speaker 2: person that was previously making that pizza is now displaced,

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Speaker 2: but there are people that need to program these devices,

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Speaker 2: and the people that were making the pizzas are now

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Speaker 2: in a different position at that workplace. And yes, sometimes maybe,

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Speaker 2: if you want to look at it, maybe it's a

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Speaker 2: zero you know, I don't think it's a zero sum game.

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Speaker 2: I think that there's always something else happening somewhere else where.

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Speaker 1: People always find a way.

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Speaker 2: And look, if humans are going to put humans out

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Speaker 2: of business when it comes to jobs, we're all going

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Speaker 2: to have to figure that out. And with some of

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Speaker 2: these things, they just it just happens at the ground

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Speaker 2: up and we just have to all deal with it.

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Speaker 1: Anyway.

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Speaker 2: Check out the pizza robot video and oh sorry, wrong one.

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Speaker 2: There we go, and we're still going to do some

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Speaker 2: of your questions as well.

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Speaker 3: Yeah.

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Speaker 4: So actually this is a follow up email from this

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Speaker 4: guy named Alan. He had emailed you about when you

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Speaker 4: were on Leo's show and you mentioned the ESM called

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Speaker 4: aaro Loow. Well he went on.

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Speaker 3: To actually try it, so he said that it look

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Speaker 3: it's too good to be true. And then basically you had.

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Speaker 4: Told him that you were going to try it, and

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Speaker 4: then he said he was going to try it, and

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Speaker 4: then the update is it looks as if it works

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Speaker 4: very well. I tried out the five dollars one gigabyte

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Speaker 4: seven days and later have got gone up to the

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Speaker 4: twenty eight dollars ten gigabytes thirty days and it works

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Speaker 4: very nicely.

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Speaker 1: Wow.

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Speaker 3: So what is this eSIM called Arrolow?

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Speaker 1: I don't okay, so air a l o aer arrol Errolow.

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Speaker 1: And so I saw this website.

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Speaker 2: It was a brand new website and eSIMs, if you're

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Speaker 2: not familiar with the concept, A lot of the new smartphones,

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Speaker 2: especially the iPhones, and some of the other devices out there,

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Speaker 2: like the Pixel.

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Speaker 1: They have what's called.

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Speaker 2: An eSIM, which means have you ever seen that little

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Speaker 2: card that's inside your phone, the simcard. Well, now they're

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Speaker 2: doing away with that, and that little number on that

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Speaker 2: card is actually built into your phone sort of, and

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Speaker 2: so you can have what's a virtual SIM card, so

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Speaker 2: you could activate your phone on Verizon without popping a

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Speaker 2: SIM card in because Verizon just says, hey, give us

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Speaker 2: those numbers on your phone and we'll just connect it

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Speaker 2: all and make it work, which makes things really convenient.

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Speaker 2: Now for international travel, it gets really interesting because what

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Speaker 2: this Aerolo site does is lets you buy an eSIM

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Speaker 2: before you even leave the country, and they have him

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Speaker 2: available for all these different countries, over one hundred countries.

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Speaker 2: You go online and let's say I'm going to France

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Speaker 2: and I can buy seven days of data one gig

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Speaker 2: for three bucks, or I can buy thirty days five

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Speaker 2: gigs of data for nine dollars, and I can have

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Speaker 2: this activated on my phone before I even leave. And

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Speaker 2: so what was his name again, Alan? Alan called me

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Speaker 2: on the Leo Show. I told him about this, he said,

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Speaker 2: and then he emailed me. He said, Rich that's too

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Speaker 2: good to be true. That doesn't work, there's no way.

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Speaker 2: And I said, well, you try it and I'll try

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Speaker 2: it and we'll see because we're both discovering this. Yeah,

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Speaker 2: and sure enough he emailed me back and he said

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Speaker 2: it works great, and so I will be using this

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Speaker 2: on my next international trip. Yeah, it's just a nice

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Speaker 2: thing to know about ai rlo dot com. I was

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Speaker 2: wondering about China because that's actually the second country and

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Speaker 2: it does have China com prepaid five days five gigs

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Speaker 2: of data. Thirty days is sixteen bucks. Now I burned

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Speaker 2: through five gigs of data in maybe five minutes. Yeah,

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Speaker 2: probably a couple of days, so that you know, I'd

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Speaker 2: probably need a couple of those. But if you look

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Speaker 2: at what Verizon does and at and T, I usually

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Speaker 2: recommend their travel pass or what they call passport that's

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Speaker 2: using your normal number and it's ten dollars a day

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Speaker 2: in the countries that you go to, and they only

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Speaker 2: give you about a half a gig a day, but

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Speaker 2: unlimited calling. So anyway, this is way better. So check

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Speaker 2: it out Arlo dot com. If you're traveling on a

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Speaker 2: trip internationally and you have a newer phone that will

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Speaker 2: let you use an e sim and it's pretty cool.

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Speaker 2: All right, Let's talk about another product that we saw

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Speaker 2: here at the show, The LG Veggie Fridge I call it,

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Speaker 2: and this is LG Electronics.

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Speaker 1: They it's specifically called a indoor gardening appliance.

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Speaker 2: I think it's called the Vegetable Cultivator. But this was

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Speaker 2: another one that kind of went viral.

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Speaker 1: Because it just looks so cool.

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Speaker 2: It's a column fridge that you install in your kitchen

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Speaker 2: and it grows little, tiny leafy plants in the fridge.

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Speaker 2: And yes, it's basil, it's tiny, you know, maybe bib

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Speaker 2: lettuce or butter lettuce or whatever. But obviously your mind

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Speaker 2: goes to what is the other leafy thing that people

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Speaker 2: grow at home?

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Speaker 3: Was kidding? Marijuana?

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Speaker 2: You can't see so, and we're in California, where you know,

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Speaker 2: depending on I mean, I think you have. I'm not

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Speaker 2: an expert on this by anyway, but I'm pretty sure

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Speaker 2: that like there's something where you can have like three

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Speaker 2: little plants or something.

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Speaker 1: Now I'm not an expert, so if.

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Speaker 2: You can't do, not say that rich, But the reality is,

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Speaker 2: I imagine that people would probably try this, and that's

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Speaker 2: kind of why it went viral because because we said

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Speaker 2: it was a refriger that lets you grow your own herbs,

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Speaker 2: and I guess herb is probably.

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Speaker 1: Slang for you know, marijuana. So no matter what, this

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Speaker 1: fridge is pretty cool.

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Speaker 2: There are some caveats to it, so it controls the air,

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Speaker 2: the humidity or I should say the temperature, the humidity,

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Speaker 2: and the water. And it's not just like you can

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Speaker 2: plant anything in there, although I'm sure people will try,

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Speaker 2: but it's much more high tech than that. They come

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Speaker 2: in little pods that LG cells, and so I think

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Speaker 2: you put these pods in there, Yeah, like a little

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Speaker 2: seed pod. I doubt I doubt they're gonna have a

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Speaker 2: weed pod anytime.

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Speaker 3: Going to you never know, So that's really fun.

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Speaker 1: But I just thought thought that was really cool.

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Speaker 2: And again, you know something's really expensive when they can't

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Speaker 2: tell you how much it costs. We did not get

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Speaker 2: a price on the veggie fridge, but I imagine it's

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Speaker 2: for rich people because it's one of those fridges that

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Speaker 2: kind of looks like one of those what's that big brand,

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Speaker 2: like the Viking or the you know the really.

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Speaker 3: Nice I think.

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Speaker 2: Viking, Yeah, like the really nice fridge sub zero, you

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Speaker 2: know those kind of Really the fridge is that when

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Speaker 2: your fridge blends in with your cabinets.

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Speaker 1: Yeah, you are rich.

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Speaker 2: It's like it's well, you know what I'm saying, Like

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Speaker 2: it looks like it just your cabinet is the same

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Speaker 2: exact facade as the fridge.

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Speaker 3: It's literally literally customed.

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Speaker 1: Yes, you're doing okay goals. Yeah, that's that's the LG

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Speaker 1: Veggi fridge.

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Speaker 2: But this does have a clear glass fridge in front

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Speaker 2: or a glass window in front of it.

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Speaker 1: All right, Megan, you're up.

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Speaker 3: Okay.

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Speaker 4: So this next question is from Maria. She's asking about

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Speaker 4: sharing large videos on an Android. I was wondering if

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Speaker 4: you could help me. My daughter's on a drill team.

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Speaker 4: I take a lot of videos of her. And many

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Speaker 4: of the moms have iPhones and can air drop videos

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Speaker 4: to each other, but I have an Android. Do you

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Speaker 4: have any tips on the best way to share large

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Speaker 4: videos to other Android users and iPhone users also from

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Speaker 4: an iPhone to an Android.

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Speaker 1: Oh of course.

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Speaker 2: Okay, So the main thing with uh this has been

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Speaker 2: a problem because Android and if your iPhone to iPhone,

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Speaker 2: it's all good. Yeah, because you have air drop, you

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Speaker 2: have iCloud. People will send you an I Cloud link.

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Speaker 1: It's all good.

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Speaker 2: You can literally you have I Message, you can share

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Speaker 2: a big video through message, whatever you want. It's iPhone

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Speaker 2: to iPhone has never been a problem. It's just the

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Speaker 2: simplest thing, which is why iPhone users are very hesitant

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Speaker 2: when it comes to sharing with Android users because it

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Speaker 2: never looks good the video. If you send it by text,

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Speaker 2: it's gonna look like garbage. And you're like, well, how

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Speaker 2: else would I send it? Like, I don't know how

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Speaker 2: what do I do? And the Android people are like, well,

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Speaker 2: can you use like Google Photos or face Facebook Messenger?

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Speaker 2: And of course the iPhone person doesn't want to download

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Speaker 2: anything new, and so it's this whole big thing. And

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Speaker 2: I see this all the time with my family and friends.

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Speaker 2: So here's what I'm recommend.

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Speaker 1: Number one.

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Speaker 2: I would say probably the easiest is Dropbox. So just

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Speaker 2: get just get a Dropbox account, get a free one.

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Speaker 2: I'm not sure what the Dropbox gives you for free

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Speaker 2: these days.

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Speaker 1: It used to be like to like a gig or something.

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Speaker 1: I don't even know how much it is.

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Speaker 2: Dropbox they don't even I mean, it's like Dropbox business

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Speaker 2: is like so they're not even targeting like regular people anymore.

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Speaker 1: But it seems like you could probably get a dropbox.

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Speaker 1: I don't know.

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Speaker 2: I'm guessing you can get a personal d drop box

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Speaker 2: at this point. Maybe you can't anyway, so dropbox will

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Speaker 2: probably be the easiest. If you can still get a dropbox,

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Speaker 2: Google Drive she mentioned that will work. The problem is

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Speaker 2: it's really like people don't want to sit there and

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Speaker 2: get a link and then download the video from the

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Speaker 2: link because it's kind of a pain.

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Speaker 3: Right, isn't that drop Box too?

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Speaker 2: They're both, Yeah, it's just Dropbox a little bit easier

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Speaker 2: because it's more like a you understand the concept.

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Speaker 1: It's a folder that you drop something into.

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Speaker 2: You go into that folder and you pull it out, right,

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Speaker 2: so it's Google Drive. It gets a little crazier because

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Speaker 2: you're like, what is this? Is this a drive? My

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Speaker 2: soniim those are my first two choices. Then I would

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Speaker 2: say Google Photos is really good.

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Speaker 1: So if you have.

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Speaker 2: Google Photos on your phone, which if you're Android you

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Speaker 2: probably do, just click the little share and it says

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00:15:38,840 --> 00:15:40,840
Speaker 2: share link. You can just share a link and they'll

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Speaker 2: be able to download that photo as well or that

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Speaker 2: video file. You can do a shared album, which this

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00:15:46,760 --> 00:15:48,800
Speaker 2: was really cool. I went to a birthday party. I

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Speaker 2: probably mentioned this on the podcast, but my friend she

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Speaker 2: made a shared photo album of the birthday party and

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Speaker 2: she sent the link to us, and literally I was

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Speaker 2: able to drag and drop my pictures onto that album

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Speaker 2: and everyone else of that link could see them.

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Speaker 1: So that's really easy. Right.

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Speaker 2: Then the other thing, and this is my new favorite,

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Speaker 2: and you've been using this, Megan as well. Telegram is

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Speaker 2: my new absolute favorite chat tool. And it's so great

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Speaker 2: because it's kind of like I Message but on steroids,

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Speaker 2: because it's got every feature imaginable, including you can share

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Speaker 2: large files and you can even share large files with yourself.

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Speaker 2: So if you send a video to yourself, you can

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Speaker 2: download the app on your computer and then download that.

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Speaker 2: They have a thing called saved Messages where you can

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Speaker 2: basically just use unlimited cloud storage. So I check out Telegram,

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Speaker 2: get all your friends on. It's actually pretty easy to

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Speaker 2: get people to sign up. I got you to sign up.

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Speaker 2: I got a bunch of my friends to sign up.

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00:16:42,320 --> 00:16:43,800
Speaker 2: I got my wife to sign up, and we're all

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Speaker 2: kind of loving it.

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Speaker 4: I like it, right, yeah, I mean it's pretty easy,

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Speaker 4: and I do like that you can see when your

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Speaker 4: message has been read, but I know on I Message,

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Speaker 4: it's like a whole thing.

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Speaker 3: Like oh yeah, like you have your read receipts on.

390
00:16:55,520 --> 00:16:58,160
Speaker 4: But like it helps especially for work, yeah, to know

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00:16:58,240 --> 00:16:59,720
Speaker 4: like if I send a message, I know it's been

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Speaker 4: read and like you don't have to respond, but I know, like, oh.

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00:17:02,360 --> 00:17:04,440
Speaker 2: He's sadly And that's that was actually one of the

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00:17:04,480 --> 00:17:06,359
Speaker 2: things with us with with I Message.

395
00:17:06,600 --> 00:17:08,040
Speaker 1: Either you don't have a turn on or I don't.

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00:17:08,080 --> 00:17:08,919
Speaker 1: I forget, I don't even know.

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00:17:08,880 --> 00:17:10,639
Speaker 3: If I have read, receive, I have read receipts.

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Speaker 1: Most people turn it off because they don't like that privacy.

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00:17:13,160 --> 00:17:15,879
Speaker 2: You know, they want their privacy. So that's the problem.

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00:17:15,880 --> 00:17:18,840
Speaker 2: But with Telegram, it's on. You see a little check mark, yeah,

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00:17:18,880 --> 00:17:20,960
Speaker 2: and it okay, so there's one check mark which means

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00:17:20,960 --> 00:17:23,040
Speaker 2: it's been delivered and I think too when it's been read.

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00:17:23,160 --> 00:17:23,360
Speaker 1: Yeah.

404
00:17:23,520 --> 00:17:24,680
Speaker 2: And then the other thing, I mean, there's so I

405
00:17:24,720 --> 00:17:26,440
Speaker 2: don't want to go through all the features of telegram,

406
00:17:26,480 --> 00:17:27,800
Speaker 2: but it's amazing.

407
00:17:27,840 --> 00:17:29,160
Speaker 3: It's it's a lot like BBM.

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00:17:29,400 --> 00:17:31,720
Speaker 2: It's a lot like BBM. And the other thing is

409
00:17:31,760 --> 00:17:34,480
Speaker 2: you can share. You can have it on multiple devices,

410
00:17:34,520 --> 00:17:37,119
Speaker 2: so you don't you're not just limited to like iPhone Android.

411
00:17:37,160 --> 00:17:39,119
Speaker 2: You can put on your desktop everywhere. Yeah, I have,

412
00:17:39,320 --> 00:17:41,680
Speaker 2: I have it on everywhere. You can drag and drop things,

413
00:17:41,760 --> 00:17:44,399
Speaker 2: you can what's the other things you can do that.

414
00:17:44,720 --> 00:17:47,000
Speaker 2: You can find people by username, So mine is rich

415
00:17:47,040 --> 00:17:48,959
Speaker 2: on Tech if you want to text me there now

416
00:17:48,960 --> 00:17:51,239
Speaker 2: I just gave it out, so good luck with that.

417
00:17:52,600 --> 00:17:55,679
Speaker 4: So does that mean you'll like lose like if you

418
00:17:55,680 --> 00:17:58,360
Speaker 4: get a bunch of messages? Yeah, well you're like ktl

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00:17:58,359 --> 00:17:59,520
Speaker 4: like tech like message.

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00:17:59,520 --> 00:18:00,800
Speaker 1: Oh that's I think disappear.

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00:18:01,040 --> 00:18:03,320
Speaker 2: You can pin it to the top, so I have

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00:18:03,680 --> 00:18:05,840
Speaker 2: I have, like my wife pinned to the top, so

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00:18:05,880 --> 00:18:07,879
Speaker 2: I see her messages way at the top. I have

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00:18:07,920 --> 00:18:10,239
Speaker 2: our little KTLA tech pin to the top, so it's

425
00:18:10,280 --> 00:18:11,160
Speaker 2: always right at the top.

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00:18:11,240 --> 00:18:13,359
Speaker 3: Good okay, So then you can get all your other and.

427
00:18:13,359 --> 00:18:13,679
Speaker 1: Then the other.

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00:18:13,720 --> 00:18:15,280
Speaker 2: I've had a bunch of people text me through it

429
00:18:15,320 --> 00:18:18,800
Speaker 2: from CS and it's fine. I mean, it's like it's

430
00:18:18,880 --> 00:18:21,080
Speaker 2: very personal because it is like a text, but it's

431
00:18:21,080 --> 00:18:22,720
Speaker 2: also I know it's they don't know my number, so

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00:18:22,760 --> 00:18:23,200
Speaker 2: it's fine.

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00:18:23,359 --> 00:18:25,200
Speaker 1: Yeah. But anyway, so those are the things I would

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Speaker 1: recommend and check them out. All right.

435
00:18:27,680 --> 00:18:29,840
Speaker 2: Another product I saw which I you know, I know,

436
00:18:29,880 --> 00:18:32,560
Speaker 2: there's a lot of Arlow fans out there. Arlow is

437
00:18:32,640 --> 00:18:36,479
Speaker 2: this wireless security camera company and people love them because

438
00:18:36,560 --> 00:18:39,520
Speaker 2: the security cams are wireless, they last for anywhere between

439
00:18:39,560 --> 00:18:41,840
Speaker 2: four and six months, and they're super easy to install

440
00:18:41,880 --> 00:18:44,560
Speaker 2: because you just stick them up and you forget about them. Well,

441
00:18:44,680 --> 00:18:47,480
Speaker 2: Arlow has now come out with a wireless floodlight cam,

442
00:18:47,880 --> 00:18:52,200
Speaker 2: the r Low Plo Pro three Floodlight Camera, and this

443
00:18:52,320 --> 00:18:55,480
Speaker 2: is uh it's a camera combined with an ultra bright

444
00:18:55,560 --> 00:18:59,920
Speaker 2: floodlight and it's one hundred percent wire free. It it's

445
00:19:00,119 --> 00:19:02,440
Speaker 2: super bright because they shine it in my eyes at

446
00:19:02,480 --> 00:19:04,400
Speaker 2: the event, and it's great.

447
00:19:04,480 --> 00:19:05,560
Speaker 1: You just put it up and now you.

448
00:19:05,520 --> 00:19:07,719
Speaker 2: Have a flood light, which is good for security, and

449
00:19:07,760 --> 00:19:10,040
Speaker 2: you also have a camera and you're also illuminated at night.

450
00:19:10,119 --> 00:19:11,560
Speaker 1: So a lot of these floodcam are these.

451
00:19:11,560 --> 00:19:14,080
Speaker 2: A lot of these cameras at night use IR which

452
00:19:14,119 --> 00:19:16,359
Speaker 2: doesn't look very good, and it's been black and white.

453
00:19:16,760 --> 00:19:19,040
Speaker 2: But this is full color even at night, which is

454
00:19:19,080 --> 00:19:22,239
Speaker 2: really cool. So I don't know, it's it's kind of cool.

455
00:19:22,280 --> 00:19:24,440
Speaker 2: I don't have the price on it, but I don't

456
00:19:24,440 --> 00:19:25,760
Speaker 2: know if they told me the price on it, I

457
00:19:25,760 --> 00:19:27,520
Speaker 2: can't remember. But anyway, I know there's a lot of

458
00:19:27,640 --> 00:19:30,800
Speaker 2: rlow fans out there, and this will expand your reach.

459
00:19:31,119 --> 00:19:34,000
Speaker 1: So awesome. Cool. It's getting hotter and hotter, right I know.

460
00:19:34,080 --> 00:19:36,280
Speaker 3: I was like, the van must have gone off. We

461
00:19:36,400 --> 00:19:37,080
Speaker 3: killed the battery.

462
00:19:37,080 --> 00:19:39,160
Speaker 1: We killed the battery because the van is off and.

463
00:19:39,359 --> 00:19:40,440
Speaker 3: We are sweating.

464
00:19:40,600 --> 00:19:43,760
Speaker 1: Yeah, all right, question producer.

465
00:19:43,840 --> 00:19:49,080
Speaker 4: Mean this next question comes from Joe. I watch you

466
00:19:49,119 --> 00:19:52,119
Speaker 4: on Fox eight News in Cleveland at twelve PM, and

467
00:19:52,200 --> 00:19:55,240
Speaker 4: I enjoy your segment very much. I'm in the market

468
00:19:55,359 --> 00:19:59,240
Speaker 4: for a smart watch with ECG capabilities. I have a

469
00:19:59,240 --> 00:20:01,000
Speaker 4: a fib and I want to keep track of it.

470
00:20:01,400 --> 00:20:03,720
Speaker 4: I understand that Apple is and the leader is the

471
00:20:03,800 --> 00:20:06,160
Speaker 4: leader in this area. However, I'm not ready to give

472
00:20:06,240 --> 00:20:08,920
Speaker 4: up my Android phone yet. Is there another brand out

473
00:20:08,960 --> 00:20:11,719
Speaker 4: there for Android right now?

474
00:20:12,960 --> 00:20:15,760
Speaker 2: Okay, we're recording this in January twenty twenty. If you

475
00:20:15,840 --> 00:20:17,639
Speaker 2: talk to me in one year, it's gonna be a

476
00:20:17,680 --> 00:20:19,919
Speaker 2: whole different story. There's probably gonna be fifteen of these

477
00:20:19,960 --> 00:20:23,680
Speaker 2: things I could recommend right now. Apple Watch, EKG ECG

478
00:20:23,800 --> 00:20:25,960
Speaker 2: whatever they call it is kind of like the gold standard.

479
00:20:26,320 --> 00:20:29,160
Speaker 2: It's there right now. It monitors your heart. It monitors

480
00:20:29,200 --> 00:20:31,040
Speaker 2: what's going on with your heart. You can take an

481
00:20:31,040 --> 00:20:33,320
Speaker 2: ECG whenever you want. It'll tell you when your heart

482
00:20:33,359 --> 00:20:36,200
Speaker 2: rate is elevated, when it's too low, when you fall.

483
00:20:36,800 --> 00:20:39,720
Speaker 2: Apple Watch is and I've talked about this before. It's

484
00:20:39,760 --> 00:20:43,520
Speaker 2: actually become more useful to me in various ways than

485
00:20:43,560 --> 00:20:45,879
Speaker 2: the iPhone. The iPhone is still an amazing device, but

486
00:20:46,000 --> 00:20:48,280
Speaker 2: like a lot of people now can't give up their

487
00:20:48,280 --> 00:20:50,239
Speaker 2: iPhone because they have the Apple Watch and they fell

488
00:20:50,280 --> 00:20:51,919
Speaker 2: in love with it. Yeah, and there's really no other

489
00:20:52,000 --> 00:20:52,800
Speaker 2: wearable like that.

490
00:20:53,560 --> 00:20:54,520
Speaker 1: Google bought Fitbit.

491
00:20:54,560 --> 00:20:57,240
Speaker 2: You can be believe that they are going to add

492
00:20:57,280 --> 00:20:59,720
Speaker 2: these features into the future fitbits for sure.

493
00:20:59,720 --> 00:21:00,520
Speaker 1: They have to.

494
00:21:01,000 --> 00:21:01,119
Speaker 3: Uh.

495
00:21:01,160 --> 00:21:03,480
Speaker 2: The other one that will have it is the Galaxy

496
00:21:03,600 --> 00:21:07,119
Speaker 2: Watch Active. I think it's called. But the Galaxy Watch

497
00:21:07,200 --> 00:21:10,000
Speaker 2: they announced this last year at their event they said

498
00:21:10,040 --> 00:21:12,879
Speaker 2: we're gonna we built in the tools to do an

499
00:21:12,960 --> 00:21:16,800
Speaker 2: EKG on this watch, but they did not activate them.

500
00:21:17,600 --> 00:21:20,520
Speaker 2: So that's what we're waiting for. And it's the.

501
00:21:20,480 --> 00:21:22,560
Speaker 1: Galaxy Watch Active too, I guess it's called.

502
00:21:22,960 --> 00:21:27,280
Speaker 2: And they we have an event with Samsung on February eleventh.

503
00:21:27,320 --> 00:21:29,320
Speaker 1: I believe hopefully we'll get an update.

504
00:21:29,400 --> 00:21:32,200
Speaker 2: Maybe they'll introduce this on stage and say, hey, it's active,

505
00:21:32,520 --> 00:21:34,320
Speaker 2: but you're talking it's been a while. I mean I

506
00:21:34,320 --> 00:21:36,000
Speaker 2: think it was like back in the summer that we

507
00:21:36,119 --> 00:21:39,240
Speaker 2: had the event where they unveil this, and anyone who

508
00:21:39,280 --> 00:21:40,840
Speaker 2: bought that that wanted that feature.

509
00:21:40,560 --> 00:21:42,960
Speaker 1: Has been waiting now six months. It's too long.

510
00:21:43,359 --> 00:21:45,760
Speaker 2: So that is the watch that I would recommend, and

511
00:21:46,240 --> 00:21:49,000
Speaker 2: hopefully they will have that very soon. They need it,

512
00:21:49,400 --> 00:21:52,080
Speaker 2: because I'm not like I used the EKG feature a lot.

513
00:21:52,119 --> 00:21:54,040
Speaker 2: But if you, like you said, he has a fib

514
00:21:54,560 --> 00:21:57,840
Speaker 2: he needs that and you know you want to be

515
00:21:57,880 --> 00:22:00,479
Speaker 2: able to have that. All right, let's see and you

516
00:22:00,520 --> 00:22:02,000
Speaker 2: can pick the next one. Which one do you want

517
00:22:02,040 --> 00:22:04,600
Speaker 2: me to talk about. I'll give you some choices. You've

518
00:22:04,600 --> 00:22:08,640
Speaker 2: got the fingerprint door opener, you've got the self driving car.

519
00:22:08,640 --> 00:22:09,639
Speaker 1: You want to do the self driving car?

520
00:22:10,000 --> 00:22:15,320
Speaker 2: Okay, So we both took a ride in the self

521
00:22:15,400 --> 00:22:18,760
Speaker 2: driving car from Qualcomm, and Qualcomm does not make cars,

522
00:22:18,760 --> 00:22:21,800
Speaker 2: but they make the technology that lets cars self drive,

523
00:22:21,920 --> 00:22:25,720
Speaker 2: and kind of like Renouvo. Well, it sounds like Renovo

524
00:22:25,880 --> 00:22:28,199
Speaker 2: is doing more of the car we're in, is the

525
00:22:28,240 --> 00:22:30,920
Speaker 2: Renovo car. Sounds like they're doing more of the data

526
00:22:30,960 --> 00:22:33,760
Speaker 2: that helps all this stuff along.

527
00:22:34,000 --> 00:22:36,280
Speaker 4: True, and these are just companies, Honestly, I know nothing

528
00:22:36,320 --> 00:22:37,360
Speaker 4: about well, neither.

529
00:22:37,200 --> 00:22:39,359
Speaker 2: Did I until you know, until we'll call Calm. I

530
00:22:39,400 --> 00:22:41,760
Speaker 2: knew about but Renovo I had not until we shot

531
00:22:41,760 --> 00:22:44,760
Speaker 2: our podcast in here. But it's you know again, the

532
00:22:44,920 --> 00:22:47,679
Speaker 2: data that these cars have is just crazy. And so

533
00:22:47,720 --> 00:22:49,679
Speaker 2: the Qualcom we get in and we you know, we

534
00:22:49,720 --> 00:22:51,440
Speaker 2: do these things blind. We like get in, We're like,

535
00:22:51,480 --> 00:22:53,680
Speaker 2: we'd have no idea what this car sign a waiver

536
00:22:54,160 --> 00:22:55,800
Speaker 2: and next thing you know, we're on the freeway at

537
00:22:55,840 --> 00:22:59,080
Speaker 2: seventy miles an hour in a car that's driving itself.

538
00:22:59,480 --> 00:23:00,959
Speaker 2: And what was was that the first time you were

539
00:23:00,960 --> 00:23:03,000
Speaker 2: in a self driving car? Yeah, because it's been I've

540
00:23:03,000 --> 00:23:06,959
Speaker 2: been in a couple oh like that. Yes, I've been

541
00:23:06,960 --> 00:23:09,359
Speaker 2: on the freeway on a car. Yes, but this was

542
00:23:09,440 --> 00:23:11,600
Speaker 2: the most autonomous car I've ever been in.

543
00:23:11,920 --> 00:23:15,000
Speaker 4: So yeah, I felt like it reminded Well, first of all,

544
00:23:15,040 --> 00:23:16,919
Speaker 4: I was like filming it, filming in the back, so

545
00:23:17,000 --> 00:23:19,960
Speaker 4: I was looking through a screen filming it the entire time.

546
00:23:20,359 --> 00:23:23,160
Speaker 3: But I kind of to like k not it too

547
00:23:23,200 --> 00:23:24,000
Speaker 3: freaked out about it.

548
00:23:24,040 --> 00:23:25,639
Speaker 4: I just told myself kind of like, oh, it's like

549
00:23:25,680 --> 00:23:27,800
Speaker 4: a ride at Disneyland, like don't worry, and like it's

550
00:23:27,840 --> 00:23:28,439
Speaker 4: really safe.

551
00:23:28,440 --> 00:23:30,640
Speaker 3: But I was kind of freaked out.

552
00:23:30,520 --> 00:23:32,520
Speaker 4: I was like after, I was like whoa, Like that

553
00:23:32,560 --> 00:23:36,439
Speaker 4: car was actually going like seventy miles per hour on

554
00:23:36,480 --> 00:23:40,040
Speaker 4: the freeway and you know, like, yeah, it was crazy

555
00:23:40,080 --> 00:23:41,000
Speaker 4: and anything can happen.

556
00:23:41,240 --> 00:23:41,520
Speaker 3: Cool.

557
00:23:41,680 --> 00:23:44,600
Speaker 2: I mean the concern to me exactly is Okay, you've

558
00:23:44,640 --> 00:23:45,960
Speaker 2: seen you've been in a car where someone jerks the

559
00:23:46,000 --> 00:23:47,119
Speaker 2: wheel to the left or right and like.

560
00:23:47,119 --> 00:23:48,119
Speaker 1: Whoa, whoa, whoa, what was that?

561
00:23:48,160 --> 00:23:50,760
Speaker 2: They're like, oh, I had to avoid something Like imagine

562
00:23:50,760 --> 00:23:53,080
Speaker 2: a computer doing that and like next thing, you know,

563
00:23:53,119 --> 00:23:55,880
Speaker 2: you're flipping or you're rolling. I mean that's really scary.

564
00:23:56,240 --> 00:23:58,520
Speaker 2: And I think to me, it's like and we did

565
00:23:58,600 --> 00:24:00,400
Speaker 2: it and it was fine. It was only a couple

566
00:24:00,440 --> 00:24:03,239
Speaker 2: of minutes. It was you know, ten fifteen minutes, and

567
00:24:03,320 --> 00:24:06,560
Speaker 2: you know, this thing is accelerating, it's changing lanes. It

568
00:24:06,600 --> 00:24:08,800
Speaker 2: wasn't passing cars like it wasn't like going in front

569
00:24:08,800 --> 00:24:09,920
Speaker 2: of a car that was like slow.

570
00:24:10,000 --> 00:24:12,399
Speaker 1: It wasn't aggressive that right.

571
00:24:12,400 --> 00:24:15,560
Speaker 2: It's not a New Yorker, Yeah, but it's a New Yorker,

572
00:24:15,960 --> 00:24:16,879
Speaker 2: I should say Jersey.

573
00:24:16,880 --> 00:24:18,159
Speaker 1: I don't know whatever. I mean, I grew up on

574
00:24:18,200 --> 00:24:22,120
Speaker 1: these space Yeah, but it was really interesting. I think

575
00:24:22,160 --> 00:24:23,000
Speaker 1: they did a good job.

576
00:24:23,280 --> 00:24:26,119
Speaker 2: And what Qualcomm is saying is they're selling this platform

577
00:24:26,200 --> 00:24:30,480
Speaker 2: to automakers so that automakers, you know, can integrate this

578
00:24:30,520 --> 00:24:33,359
Speaker 2: into their cars. And the idea being is that pretty

579
00:24:33,440 --> 00:24:35,880
Speaker 2: much every car is going to have some level of

580
00:24:35,960 --> 00:24:38,920
Speaker 2: autonomy in the next three or five years. I mean,

581
00:24:39,080 --> 00:24:41,840
Speaker 2: Qualcom was targeting three years for this technology to make

582
00:24:41,880 --> 00:24:44,560
Speaker 2: it into a car on the road, So we're ways off,

583
00:24:45,040 --> 00:24:49,480
Speaker 2: but again, that's pretty big autonomy that this car got.

584
00:24:49,560 --> 00:24:51,280
Speaker 2: As soon as we got onto the on ramp, it

585
00:24:51,359 --> 00:24:53,240
Speaker 2: was like, okay, the car was like, I'm taking over,

586
00:24:53,600 --> 00:24:54,640
Speaker 2: and the guys like takeover.

587
00:24:54,680 --> 00:24:56,439
Speaker 1: It was like a it's like a back and forth.

588
00:24:56,720 --> 00:24:57,560
Speaker 3: I'm taking over.

589
00:24:57,760 --> 00:25:00,560
Speaker 2: Yeah, And so the car takes over and it's merges

590
00:25:00,600 --> 00:25:02,800
Speaker 2: onto the freeway. It goes on the freeway, it changed

591
00:25:02,880 --> 00:25:05,000
Speaker 2: lanes a bunch of times, and then exited the freeway

592
00:25:05,040 --> 00:25:07,000
Speaker 2: and then finally said okay, time for you to take over.

593
00:25:08,000 --> 00:25:11,240
Speaker 2: But imagine that you just drive to Vegas where you

594
00:25:11,400 --> 00:25:11,920
Speaker 2: just say.

595
00:25:11,760 --> 00:25:13,400
Speaker 4: Like, I'm going to Vegas and it goes on I'm

596
00:25:13,440 --> 00:25:16,160
Speaker 4: taking over, and then suddenly you're like it was pretty cool.

597
00:25:16,320 --> 00:25:17,360
Speaker 1: Yeah, I liked it.

598
00:25:17,400 --> 00:25:19,880
Speaker 2: I love those things. And it reminded me of how

599
00:25:19,920 --> 00:25:21,960
Speaker 2: far we've come from the first time I ever got

600
00:25:21,960 --> 00:25:24,840
Speaker 2: into a self driving car was in Japan at c

601
00:25:25,080 --> 00:25:27,960
Speaker 2: Tech and I got into a little Nissan and all

602
00:25:28,040 --> 00:25:31,200
Speaker 2: this thing did was do one tiny loop. I'm talking

603
00:25:31,240 --> 00:25:34,800
Speaker 2: maybe a five hundred foot loop inside a place, and

604
00:25:34,840 --> 00:25:36,840
Speaker 2: all I can think of is, oh, my gosh, what

605
00:25:36,880 --> 00:25:38,879
Speaker 2: if this car just accelerates right into the.

606
00:25:38,840 --> 00:25:40,879
Speaker 1: Brick wall in front of me and I'm dead? And

607
00:25:40,920 --> 00:25:44,480
Speaker 1: it didn't. But again, these are you scared? Yeah?

608
00:25:44,560 --> 00:25:46,159
Speaker 2: I was apprehensive. I was like, I don't know what

609
00:25:46,200 --> 00:25:47,800
Speaker 2: this car is going to do. And it was the

610
00:25:47,840 --> 00:25:50,439
Speaker 2: car that we drove I was less apprehensive. They had

611
00:25:50,440 --> 00:25:53,080
Speaker 2: a fail switch, like a big it's actually a big

612
00:25:53,160 --> 00:25:55,560
Speaker 2: red button that's like boom, you press that.

613
00:25:55,600 --> 00:25:59,080
Speaker 1: It's like an emergency stop switch. They had that.

614
00:26:00,080 --> 00:26:02,800
Speaker 2: They had this little dashboard light which was red and green.

615
00:26:02,880 --> 00:26:06,119
Speaker 2: If it's red, it's like, get the get out of

616
00:26:06,800 --> 00:26:09,720
Speaker 2: take the wheel because robot has gone back. Yeah, the

617
00:26:09,800 --> 00:26:12,040
Speaker 2: robot has has rebelled and go.

618
00:26:13,720 --> 00:26:14,120
Speaker 1: Anyway.

619
00:26:14,160 --> 00:26:17,640
Speaker 4: It was fun, It was really cool. Okay, this next

620
00:26:17,720 --> 00:26:21,959
Speaker 4: question comes from Jesse. I just read an article about

621
00:26:22,200 --> 00:26:26,439
Speaker 4: juice hacking. What devices do you recommend to avoid juice

622
00:26:26,720 --> 00:26:28,200
Speaker 4: avoid hacking danger?

623
00:26:29,359 --> 00:26:30,439
Speaker 3: What is juice hacking?

624
00:26:30,600 --> 00:26:36,800
Speaker 1: Oh gosh, so I'm curious. I think it's juice jacking. Actually,

625
00:26:36,960 --> 00:26:41,120
Speaker 1: juice hacking. Juice jacking. So juice jacking is when, yeah,

626
00:26:41,240 --> 00:26:41,879
Speaker 1: juice hacking.

627
00:26:42,040 --> 00:26:44,520
Speaker 2: Yeah, well she's she saw an article. It's it's really

628
00:26:44,560 --> 00:26:47,280
Speaker 2: juice jacking. It's hacking, whatever you want to call it,

629
00:26:47,320 --> 00:26:50,919
Speaker 2: but juice jacking. So juice jacking is when you plug

630
00:26:51,080 --> 00:26:54,199
Speaker 2: your phone into you know, you're at the airport and

631
00:26:54,440 --> 00:26:57,080
Speaker 2: there's this nice little USB charger right there on the

632
00:26:57,080 --> 00:26:58,720
Speaker 2: side of your chair, and you plug your phone in

633
00:26:59,119 --> 00:27:02,080
Speaker 2: and next thing you know, all the data and pictures

634
00:27:02,119 --> 00:27:05,199
Speaker 2: and everything on your phone is just sucked out. And

635
00:27:05,280 --> 00:27:07,840
Speaker 2: now it's in the hands of criminals and cyber criminals,

636
00:27:07,880 --> 00:27:09,800
Speaker 2: and they've got everything at the air and they've got

637
00:27:09,880 --> 00:27:12,640
Speaker 2: all the pictures of Megan taking shots in Las Vegas.

638
00:27:13,480 --> 00:27:16,520
Speaker 1: Oh wait I have that? Yeah, oh wait, that was

639
00:27:16,520 --> 00:27:19,960
Speaker 1: on my Instagram stories. So yeah, does this really happen.

640
00:27:20,760 --> 00:27:24,440
Speaker 2: Probably yes, somewhere in the world someone's phone has been

641
00:27:24,520 --> 00:27:28,120
Speaker 2: juice jacked. The reality is at an airport, though, probably.

642
00:27:28,240 --> 00:27:31,520
Speaker 2: Oh wow, is it gonna happen to you? I would

643
00:27:31,520 --> 00:27:33,959
Speaker 2: say your chances of juice jacking happening to you are

644
00:27:34,040 --> 00:27:35,280
Speaker 2: ninety nine point nine percent.

645
00:27:35,480 --> 00:27:38,760
Speaker 1: Not gonna happen now. That does leave point one percent.

646
00:27:38,880 --> 00:27:41,159
Speaker 2: And if you're going to a country like China or

647
00:27:41,280 --> 00:27:44,639
Speaker 2: a country uh in you know, like near Russia, I

648
00:27:44,680 --> 00:27:47,720
Speaker 2: would be more concerned. And I'm not singling those countries out,

649
00:27:47,760 --> 00:27:51,159
Speaker 2: but there. You know, there are opportunities for this to

650
00:27:51,200 --> 00:27:56,280
Speaker 2: happen now at lax and you know whatever. It's also

651
00:27:56,480 --> 00:27:59,040
Speaker 2: the phones are made these days, especially if you keep

652
00:27:59,040 --> 00:28:01,199
Speaker 2: your software up to date, the phones are made to

653
00:28:01,280 --> 00:28:03,159
Speaker 2: avoid these sorts of things. Have you ever plugged an

654
00:28:03,200 --> 00:28:07,000
Speaker 2: iPhone into a new computer and it says, yeah, trust

655
00:28:07,040 --> 00:28:10,399
Speaker 2: this device. Have you seen that message? Yeah, that is

656
00:28:10,440 --> 00:28:13,520
Speaker 2: because of juice jacking. Because what it's saying is back

657
00:28:13,560 --> 00:28:15,280
Speaker 2: in the day when you plug your iPhone in boom,

658
00:28:15,280 --> 00:28:17,280
Speaker 2: it was just go whoop and it would just start sinking

659
00:28:17,320 --> 00:28:18,240
Speaker 2: and doing all this stuff.

660
00:28:18,280 --> 00:28:18,440
Speaker 1: Right.

661
00:28:18,680 --> 00:28:22,880
Speaker 2: Yeah, Well after someone got juice jacked and hacked. Now,

662
00:28:23,000 --> 00:28:25,000
Speaker 2: Apple said, oh, you know what, we should probably have

663
00:28:25,040 --> 00:28:27,520
Speaker 2: a little prompt that says, hey, we just noticed that

664
00:28:27,560 --> 00:28:29,600
Speaker 2: you plugged your computer and this computer is asking for

665
00:28:29,640 --> 00:28:32,320
Speaker 2: some data. You have to press something on your screen,

666
00:28:32,359 --> 00:28:34,600
Speaker 2: and if you have a passcode on your phone, you

667
00:28:34,600 --> 00:28:36,960
Speaker 2: have to type in your passcode to approve that computer.

668
00:28:37,400 --> 00:28:40,040
Speaker 2: So number one, that's probably gonna protect you if this

669
00:28:40,120 --> 00:28:42,920
Speaker 2: happens on Android, they have very similar things as well.

670
00:28:43,440 --> 00:28:46,280
Speaker 2: But you know, do you need to be concerned about this?

671
00:28:47,000 --> 00:28:49,800
Speaker 2: Probably not for the average person. Should you be aware

672
00:28:49,840 --> 00:28:52,720
Speaker 2: of it, absolutely, one hundred percent. Yeah, think about where

673
00:28:52,720 --> 00:28:55,080
Speaker 2: you're plugging your phone in. If you're here at CS

674
00:28:55,120 --> 00:28:58,200
Speaker 2: and you see some random little thing that's like plug your.

675
00:28:58,120 --> 00:29:01,080
Speaker 1: Phone in here, yeah, data in here.

676
00:29:01,240 --> 00:29:03,240
Speaker 2: But like if you're just like in the media room

677
00:29:03,280 --> 00:29:05,560
Speaker 2: at CS and like, you know, you plug your phone. Now,

678
00:29:05,760 --> 00:29:08,240
Speaker 2: some people might argue that the media room at CS

679
00:29:08,240 --> 00:29:10,480
Speaker 2: would be the most ripe for hacking because think about

680
00:29:10,480 --> 00:29:13,080
Speaker 2: all the international journalists in there and the information.

681
00:29:13,480 --> 00:29:15,920
Speaker 1: So you do have to be on guard. But I

682
00:29:15,960 --> 00:29:18,360
Speaker 1: think it just it's common sense prevails.

683
00:29:18,440 --> 00:29:20,680
Speaker 3: But if you have a passcode, be smart.

684
00:29:20,880 --> 00:29:24,120
Speaker 2: But also a lot of these little attacks require you

685
00:29:24,200 --> 00:29:26,320
Speaker 2: to put in that pass code, do all this stuff.

686
00:29:26,360 --> 00:29:28,240
Speaker 2: Then they have to download little tiny piece of software

687
00:29:28,240 --> 00:29:29,920
Speaker 2: to your phone. Then your phone is communicating, so a

688
00:29:29,960 --> 00:29:32,880
Speaker 2: lot of little steps. It's not like you imagine that

689
00:29:32,960 --> 00:29:34,680
Speaker 2: they do it on TV shows where you plug your

690
00:29:34,720 --> 00:29:37,360
Speaker 2: phone in and it's charging, and while it's charging, it's

691
00:29:37,360 --> 00:29:40,240
Speaker 2: like five four that big status bar off like we're

692
00:29:40,280 --> 00:29:40,880
Speaker 2: getting all.

693
00:29:40,720 --> 00:29:43,200
Speaker 1: Of Megan's data in three two fun with that.

694
00:29:43,400 --> 00:29:45,440
Speaker 3: It's really not that great data.

695
00:29:45,520 --> 00:29:48,600
Speaker 2: So I again, be aware of this, and it's good

696
00:29:48,600 --> 00:29:50,640
Speaker 2: to even know what this is all about, but just

697
00:29:50,680 --> 00:29:52,320
Speaker 2: be aware. It's kind of like the skimmers at the

698
00:29:52,320 --> 00:29:54,840
Speaker 2: gas station. It's not because we know that people skim

699
00:29:54,880 --> 00:29:57,000
Speaker 2: credit cards that you don't fill up on gas. It's

700
00:29:57,040 --> 00:29:59,120
Speaker 2: just you kind of are aware if you see some

701
00:29:59,160 --> 00:30:01,320
Speaker 2: weird wires hang out of the gas pump and when

702
00:30:01,320 --> 00:30:03,800
Speaker 2: you're putting your credit card in and you're like, oh,

703
00:30:04,000 --> 00:30:05,480
Speaker 2: go away, maybe I shouldn't use that.

704
00:30:05,600 --> 00:30:08,640
Speaker 3: So what if you really need gas, then just do.

705
00:30:08,680 --> 00:30:10,760
Speaker 2: It and let your credit card company deal with it.

706
00:30:11,320 --> 00:30:13,520
Speaker 2: Use your credit card at the pump for now. Don't

707
00:30:13,600 --> 00:30:15,560
Speaker 2: use your credit card. We talked about that in the

708
00:30:15,600 --> 00:30:19,280
Speaker 2: last podcast, didn't we All right, so let's see what

709
00:30:19,320 --> 00:30:22,280
Speaker 2: else do we want to talk about the let's see,

710
00:30:22,320 --> 00:30:23,920
Speaker 2: we got this Coldgate toothbrush.

711
00:30:23,960 --> 00:30:25,560
Speaker 1: We talk about this. This is kind of interesting.

712
00:30:25,880 --> 00:30:29,760
Speaker 2: Colgate has a new toothbrush called the Plaquelists, and it's

713
00:30:29,920 --> 00:30:33,320
Speaker 2: very simple. It's a it's a smart toothbrush. Smart everything

714
00:30:33,400 --> 00:30:39,200
Speaker 2: smart nowadays everything is smart. Toothbrushes are smart everything every

715
00:30:39,440 --> 00:30:41,960
Speaker 2: ya when I say everything, Yes, I've been to the

716
00:30:42,000 --> 00:30:42,880
Speaker 2: adult toy section.

717
00:30:43,120 --> 00:30:43,960
Speaker 1: It's all smart.

718
00:30:44,320 --> 00:30:46,600
Speaker 2: It's kind of crazy like that was actually one of

719
00:30:46,600 --> 00:30:49,320
Speaker 2: the craziest things of going to the show is having

720
00:30:49,400 --> 00:30:52,400
Speaker 2: these people demo products for you that they're just like

721
00:30:52,440 --> 00:30:55,000
Speaker 2: throwing out terms that like you don't normally hear on

722
00:30:55,040 --> 00:30:55,800
Speaker 2: a daily basis.

723
00:30:56,080 --> 00:30:57,040
Speaker 3: What are we talking about?

724
00:30:57,320 --> 00:30:59,200
Speaker 1: Oh, this this stuff.

725
00:30:59,280 --> 00:31:02,160
Speaker 2: Yeah, they're just like explaining how things work, and you're

726
00:31:02,240 --> 00:31:04,760
Speaker 2: just like, ah, you're hearing stuff that like you don't

727
00:31:04,760 --> 00:31:07,320
Speaker 2: normally hear and from like an average person on the

728
00:31:07,320 --> 00:31:09,640
Speaker 2: street that's like talking to you and like holding this

729
00:31:09,680 --> 00:31:13,360
Speaker 2: thing in their hand and demoing this targets.

730
00:31:13,000 --> 00:31:15,560
Speaker 1: This, this, this TAP's that this does. That is but

731
00:31:15,720 --> 00:31:16,840
Speaker 1: boat boom boom, and.

732
00:31:16,840 --> 00:31:19,560
Speaker 3: You're like they're like so comfortable talking about it, and you're.

733
00:31:19,440 --> 00:31:23,240
Speaker 2: Like I was like okay, And it's really funny because

734
00:31:23,640 --> 00:31:25,200
Speaker 2: I'll be honest, there's a lot of people at these

735
00:31:25,200 --> 00:31:27,520
Speaker 2: booths and there's a lot of normal people. I mean

736
00:31:27,800 --> 00:31:31,320
Speaker 2: normal people, just like regular like you know, Bob the

737
00:31:31,360 --> 00:31:33,240
Speaker 2: businessman from South Dakota.

738
00:31:33,560 --> 00:31:36,040
Speaker 4: It's like, I didn't realize that last year there was

739
00:31:36,120 --> 00:31:40,440
Speaker 4: some invention and that that had won an award at

740
00:31:40,480 --> 00:31:43,680
Speaker 4: CES and then they and then CS took the award away.

741
00:31:43,920 --> 00:31:46,120
Speaker 1: Well, yeah, they weren't ready for it. Last year they weren't.

742
00:31:46,280 --> 00:31:49,719
Speaker 2: CS was not as an organization, was not ready for

743
00:31:50,040 --> 00:31:53,960
Speaker 2: the revolution. Yeah, and now they are, and now it's

744
00:31:53,960 --> 00:31:54,360
Speaker 2: this year.

745
00:31:54,560 --> 00:31:56,600
Speaker 1: Yeah, it's been kind of totally normal.

746
00:31:56,640 --> 00:31:58,800
Speaker 2: It wasn't like like I predicted, it might take over

747
00:31:58,840 --> 00:32:02,080
Speaker 2: the show, take over the headlines. It definitely did grab

748
00:32:02,120 --> 00:32:05,320
Speaker 2: a lot of headlines and it still continues to. I

749
00:32:05,440 --> 00:32:08,640
Speaker 2: noticed the top three trending search with CS was CS

750
00:32:08,640 --> 00:32:12,360
Speaker 2: sextech on Google. So it's not like people ignored it.

751
00:32:12,360 --> 00:32:15,560
Speaker 2: It's just the mainstream media is not necessarily going to

752
00:32:15,600 --> 00:32:19,080
Speaker 2: show what I saw on the Today Show, which just

753
00:32:19,080 --> 00:32:20,920
Speaker 2: not gonna happen, or you're not going to see it

754
00:32:20,920 --> 00:32:22,840
Speaker 2: in tech smart. But it's out there and you will

755
00:32:22,840 --> 00:32:24,720
Speaker 2: see it on blogs and you will see people covering

756
00:32:24,800 --> 00:32:27,360
Speaker 2: it and mainstream blogs covering it as well. It's not

757
00:32:27,520 --> 00:32:29,479
Speaker 2: just you know these other things anyway.

758
00:32:29,760 --> 00:32:30,640
Speaker 1: So back to Coldgate.

759
00:32:30,720 --> 00:32:34,880
Speaker 2: So Coldgate placklist pro wait, start talking about electric toothbrush,

760
00:32:35,040 --> 00:32:39,560
Speaker 2: and it's really interesting it The bottom line with this toothbrush,

761
00:32:39,560 --> 00:32:42,360
Speaker 2: it has indicator lights on it and it also has

762
00:32:42,400 --> 00:32:45,680
Speaker 2: sensors on the toothbrush that looked for plaque on your teeth,

763
00:32:45,720 --> 00:32:47,360
Speaker 2: and when you pull the toothbrush out of your mouth,

764
00:32:47,400 --> 00:32:49,960
Speaker 2: if there's still plaqu present on your teeth, the lights

765
00:32:50,000 --> 00:32:51,000
Speaker 2: are like, hey, you.

766
00:32:50,960 --> 00:32:53,600
Speaker 1: Still need to keep going. Oh, and so it uses it.

767
00:32:54,000 --> 00:32:58,640
Speaker 2: Let's see the users using a light ring around the toothbrush.

768
00:32:58,680 --> 00:33:01,040
Speaker 2: The user sees a blue light when build up has

769
00:33:01,080 --> 00:33:04,280
Speaker 2: been found, the white light appears to let you know

770
00:33:04,400 --> 00:33:06,840
Speaker 2: you can move on. So you brush the quadrants of

771
00:33:06,840 --> 00:33:08,520
Speaker 2: your mouth and you kind of pull this thing out

772
00:33:08,520 --> 00:33:10,440
Speaker 2: and you're like, oh, cool, that quadrant's clean because the

773
00:33:10,840 --> 00:33:11,480
Speaker 2: light is white.

774
00:33:11,840 --> 00:33:14,440
Speaker 3: I like that, right, that would really make me brush

775
00:33:14,480 --> 00:33:14,920
Speaker 3: my teeth.

776
00:33:15,360 --> 00:33:18,360
Speaker 2: I think, wouldn't it be really like evil and sinister

777
00:33:18,440 --> 00:33:20,160
Speaker 2: by Colgate if they were just like, ah, let's just

778
00:33:20,200 --> 00:33:21,880
Speaker 2: make people brush their teeth a lot more than they

779
00:33:21,960 --> 00:33:24,680
Speaker 2: have to, and they just like like some engineer like

780
00:33:24,880 --> 00:33:25,440
Speaker 2: revs up.

781
00:33:25,520 --> 00:33:28,880
Speaker 1: That's long. Oh gosh.

782
00:33:29,040 --> 00:33:31,960
Speaker 2: Anyway, So that's that's another product that I thought was

783
00:33:31,960 --> 00:33:35,160
Speaker 2: pretty cool. I mean, like I said, everything is getting connected.

784
00:33:35,200 --> 00:33:37,520
Speaker 2: It kind of gets a little tiring to see, like, oh,

785
00:33:37,520 --> 00:33:39,640
Speaker 2: your pillow is now smart and it's telling you how

786
00:33:39,680 --> 00:33:42,240
Speaker 2: you sleep. But the reality is there are a lot

787
00:33:42,240 --> 00:33:44,200
Speaker 2: of people in this world, and there's a lot of

788
00:33:44,200 --> 00:33:47,920
Speaker 2: people that if you have a very normal or I

789
00:33:47,960 --> 00:33:51,040
Speaker 2: shouldn't say normal, typical, If you have a very typical

790
00:33:51,280 --> 00:33:54,920
Speaker 2: health profile, you wake up, you go to sleep, everything's okay,

791
00:33:55,000 --> 00:33:57,840
Speaker 2: you can eat whatever you want whatever, like, good for you.

792
00:33:58,160 --> 00:34:00,360
Speaker 2: But there are billions of people in this world and

793
00:34:00,440 --> 00:34:03,680
Speaker 2: a lot of people have issues. They may not be

794
00:34:03,800 --> 00:34:06,200
Speaker 2: apparent to you when you see this person on the street,

795
00:34:06,480 --> 00:34:08,920
Speaker 2: but they may have trouble sleeping, or they may have

796
00:34:08,960 --> 00:34:11,880
Speaker 2: trouble eating cheese, or they may have trouble snoring, or

797
00:34:11,920 --> 00:34:13,840
Speaker 2: they may have trouble in the bedroom, whatever it is.

798
00:34:14,760 --> 00:34:18,759
Speaker 2: And again, there is something for everyone. And it's like

799
00:34:18,760 --> 00:34:21,160
Speaker 2: when you see this technology and you see these people

800
00:34:21,200 --> 00:34:24,719
Speaker 2: working on this stuff good because there's a lot of people,

801
00:34:24,760 --> 00:34:26,440
Speaker 2: there's always a market for it. So while you may

802
00:34:26,480 --> 00:34:29,719
Speaker 2: say this smart toothbrush is really stupid, like personally, like

803
00:34:29,760 --> 00:34:33,120
Speaker 2: I get cavities really easily, and it's super frustrating because

804
00:34:33,480 --> 00:34:36,239
Speaker 2: I brush my teeth like crazy. I'm very you know,

805
00:34:36,600 --> 00:34:39,000
Speaker 2: hygienic with teeth and all this stuff, and like you

806
00:34:39,040 --> 00:34:41,360
Speaker 2: ask your dentists, he's like, eh, just a genetics you

807
00:34:41,360 --> 00:34:43,759
Speaker 2: were handed, And it's like, well, that's frustrating. Yeah, but

808
00:34:43,840 --> 00:34:47,960
Speaker 2: now if this toothbrush can keep me from getting a cavity, amazing.

809
00:34:47,560 --> 00:34:51,279
Speaker 4: Well compared to the we saw another toothbrush or they're

810
00:34:51,280 --> 00:34:53,560
Speaker 4: calling it a y brush. Yeah, and it can brush

811
00:34:53,600 --> 00:34:55,040
Speaker 4: your teeth in ten seconds.

812
00:34:55,520 --> 00:34:56,839
Speaker 1: I mean I did want to try it out.

813
00:34:56,960 --> 00:34:59,760
Speaker 3: Yeah, Like, I'm curious, does that brush your teeth well?

814
00:35:00,000 --> 00:35:02,040
Speaker 2: So that one looks like well, I'm sure they did

815
00:35:02,080 --> 00:35:04,439
Speaker 2: the research and figured it out. I mean, but that's

816
00:35:04,480 --> 00:35:06,520
Speaker 2: again another dream to me. So if I can put

817
00:35:06,520 --> 00:35:09,200
Speaker 2: this toothbrush, which kind of looks like a whitening tray

818
00:35:09,320 --> 00:35:12,560
Speaker 2: with bristles, so it looks like a whitening tray with bristles,

819
00:35:12,600 --> 00:35:14,279
Speaker 2: you put it on your bottom teeth, you press a button,

820
00:35:14,320 --> 00:35:16,640
Speaker 2: it vibrates for five seconds. You flip it over, you

821
00:35:16,640 --> 00:35:18,720
Speaker 2: put it on your top teeth, vibrates for five seconds.

822
00:35:18,880 --> 00:35:20,319
Speaker 2: They say it's gonna give you a full clean.

823
00:35:20,400 --> 00:35:22,480
Speaker 4: I guess that makes sense because you're supposed to brush

824
00:35:22,520 --> 00:35:23,799
Speaker 4: like each tooth.

825
00:35:23,520 --> 00:35:24,320
Speaker 3: For five seconds.

826
00:35:24,320 --> 00:35:27,239
Speaker 2: Oh interesting, Okay, So I mean I did not get

827
00:35:27,280 --> 00:35:29,000
Speaker 2: to try that one. I actually had an appointment, but

828
00:35:29,200 --> 00:35:31,400
Speaker 2: it was something got mixed up. I did want to

829
00:35:31,440 --> 00:35:33,600
Speaker 2: try that, and I'll probably get them to send me

830
00:35:33,640 --> 00:35:36,400
Speaker 2: one if I can, because I I'd love to, and

831
00:35:36,440 --> 00:35:39,120
Speaker 2: the brush that I'm using, I don't want to. I

832
00:35:39,160 --> 00:35:43,520
Speaker 2: feel bad, but someone yeah, sorry, yeah, no whatever, it's fine.

833
00:35:43,560 --> 00:35:46,359
Speaker 2: But someone, a dentist emailed me on DM and said,

834
00:35:46,760 --> 00:35:50,600
Speaker 2: don't use that. So I actually there's another one called

835
00:35:50,640 --> 00:35:53,640
Speaker 2: Burst that they recommended, so I'm gonna maybe try that

836
00:35:53,680 --> 00:35:56,319
Speaker 2: one now. But I used to use Sonic Care, which

837
00:35:56,320 --> 00:35:58,560
Speaker 2: I really liked. But again, all these things are getting connected,

838
00:35:58,560 --> 00:36:00,879
Speaker 2: they're all getting better. And when when you pass these

839
00:36:00,880 --> 00:36:02,600
Speaker 2: things off, when you see the things like we did

840
00:36:02,719 --> 00:36:05,560
Speaker 2: a story with this smart diaper sensor that tells you

841
00:36:05,600 --> 00:36:08,160
Speaker 2: when your baby's diaper's wet, and you're like, oh, that's stupid.

842
00:36:08,160 --> 00:36:09,240
Speaker 1: You're just a lazy parent.

843
00:36:09,520 --> 00:36:12,799
Speaker 2: Like before you have these quick knee jerk reactions to

844
00:36:12,880 --> 00:36:16,759
Speaker 2: new technology. Yeah, just imagine there are a lot of people, right,

845
00:36:17,040 --> 00:36:19,840
Speaker 2: Maybe not everyone is able to check their baby's diaper

846
00:36:19,920 --> 00:36:22,759
Speaker 2: or whatever every five minutes. Maybe there's people that work

847
00:36:22,760 --> 00:36:26,479
Speaker 2: from home, yeah whatever it is. And also or maybe

848
00:36:26,480 --> 00:36:29,960
Speaker 2: your baby has a really sensitive bottom and it can't

849
00:36:30,000 --> 00:36:34,160
Speaker 2: go five minutes, you know, with that wet diaper, and

850
00:36:34,320 --> 00:36:36,080
Speaker 2: or they get it a rash, or they have a

851
00:36:36,160 --> 00:36:37,799
Speaker 2: rash and you want to know immediately when they wet.

852
00:36:37,840 --> 00:36:41,560
Speaker 2: So again, there's a lot of different circumstances surrounding this technology.

853
00:36:41,600 --> 00:36:43,600
Speaker 4: But what I think is also cool is the idea

854
00:36:43,640 --> 00:36:47,520
Speaker 4: that like, okay for that, you know with the baby diaper.

855
00:36:47,320 --> 00:36:51,120
Speaker 3: Thing, in ten years, like that's going to be everywhere.

856
00:36:50,760 --> 00:36:52,160
Speaker 1: And it'll be built into every diper.

857
00:36:52,200 --> 00:36:53,919
Speaker 3: It'll be like inexpensive.

858
00:36:54,200 --> 00:36:57,080
Speaker 4: And so like when people like I was watching the

859
00:36:57,160 --> 00:37:00,200
Speaker 4: hit this morning on Katla and watching the anchors reaction

860
00:37:00,320 --> 00:37:02,520
Speaker 4: to the story, and like they were like, oh, you

861
00:37:02,560 --> 00:37:03,840
Speaker 4: know this is they were just kind of saying, like

862
00:37:03,840 --> 00:37:06,359
Speaker 4: this is ridiculous. But I mean in ten years when

863
00:37:06,400 --> 00:37:09,240
Speaker 4: I if I have kids, like this is gonna be normal,

864
00:37:09,400 --> 00:37:09,879
Speaker 4: and like.

865
00:37:10,280 --> 00:37:12,279
Speaker 3: They're gonna have it at CDs probably, and that.

866
00:37:12,400 --> 00:37:13,920
Speaker 1: Every diaper will have it built in.

867
00:37:14,040 --> 00:37:15,000
Speaker 3: It'll help, you know.

868
00:37:15,280 --> 00:37:19,040
Speaker 2: And that's that's the point again. And everything starts out expensive.

869
00:37:19,360 --> 00:37:21,360
Speaker 2: Yeah you see the price? What would I see today?

870
00:37:21,400 --> 00:37:24,560
Speaker 2: This digital sign that is for like restaurants, it's like

871
00:37:24,560 --> 00:37:26,840
Speaker 2: this giant like you know how signs have like a

872
00:37:26,840 --> 00:37:29,160
Speaker 2: big billboard inside which like tells you like a special

873
00:37:29,239 --> 00:37:31,120
Speaker 2: or something, you know, like they're advertising something.

874
00:37:31,239 --> 00:37:33,000
Speaker 1: Well, this one's digital, so they can change it. It

875
00:37:33,000 --> 00:37:33,640
Speaker 1: looks really cool.

876
00:37:33,680 --> 00:37:36,320
Speaker 2: They can roll it around whatever, and it's ten thousand

877
00:37:36,320 --> 00:37:39,279
Speaker 2: bucks today. In the future, it's gonna be three hundred bucks,

878
00:37:39,280 --> 00:37:41,719
Speaker 2: and every mom and pop, you know, restaurant can have

879
00:37:41,760 --> 00:37:44,520
Speaker 2: it and have these really cool signs that get your attention.

880
00:37:44,640 --> 00:37:47,040
Speaker 1: They have like steaming soup on it, and you're.

881
00:37:46,920 --> 00:37:48,440
Speaker 2: Like, oh, I want that soup because it's like a

882
00:37:48,560 --> 00:37:50,600
Speaker 2: picture of someone's slurping soup and you know.

883
00:37:50,640 --> 00:37:52,080
Speaker 1: So it's just it's just.

884
00:37:52,920 --> 00:37:54,840
Speaker 2: This is what I love about shows like this is

885
00:37:54,840 --> 00:37:57,080
Speaker 2: that you get a glimpse of the future. Yes, am

886
00:37:57,120 --> 00:37:58,480
Speaker 2: I buying all this stuff today?

887
00:37:58,520 --> 00:37:58,680
Speaker 1: No?

888
00:37:58,760 --> 00:37:59,600
Speaker 3: Yeah, of course I am.

889
00:37:59,880 --> 00:38:02,120
Speaker 1: I would love to, but I'm not getting it all today.

890
00:38:02,200 --> 00:38:04,719
Speaker 2: But I love seeing It's like it opens up these

891
00:38:04,760 --> 00:38:06,480
Speaker 2: little pathways in your brain, going.

892
00:38:06,680 --> 00:38:10,680
Speaker 1: Oh that's interesting. Okay, I can rely see why people

893
00:38:10,760 --> 00:38:12,839
Speaker 1: like that stuff. All right, I'll do one more question

894
00:38:12,840 --> 00:38:14,680
Speaker 1: from you, one more gadget, and then we're gonna have

895
00:38:14,680 --> 00:38:18,960
Speaker 1: an interview. One more question with our host here.

896
00:38:19,760 --> 00:38:21,800
Speaker 3: Okay, this next question is from Bob.

897
00:38:22,520 --> 00:38:26,200
Speaker 4: How do these big companies like rise In sell these

898
00:38:26,239 --> 00:38:29,719
Speaker 4: expensive iPhones and charge high monthly fees and give the

899
00:38:29,760 --> 00:38:34,799
Speaker 4: most incredibly terrible service The people are great. However, the

900
00:38:34,840 --> 00:38:38,200
Speaker 4: resolution to the problem can take hours, you know. Basically,

901
00:38:38,280 --> 00:38:39,560
Speaker 4: he goes on to say that he was on.

902
00:38:39,520 --> 00:38:41,760
Speaker 3: Hold for three hours the other day.

903
00:38:42,120 --> 00:38:45,320
Speaker 4: After talking with someone. After one and a half hours,

904
00:38:46,440 --> 00:38:47,800
Speaker 4: what happened? Okay, so you get the point.

905
00:38:47,880 --> 00:38:48,920
Speaker 1: So he's frustrated.

906
00:38:49,040 --> 00:38:51,879
Speaker 2: Yeah, he's frustrated because he's paying a monthly fee. Did

907
00:38:51,920 --> 00:38:55,600
Speaker 2: he mention a company specifically, yeah, okay, So, which that's

908
00:38:55,640 --> 00:38:57,640
Speaker 2: actually kind of funny because I feel like Verizon has

909
00:38:57,719 --> 00:39:00,680
Speaker 2: such good customer service, Like every time I've ever called them,

910
00:39:00,719 --> 00:39:02,840
Speaker 2: like I've had Verizon and AT and T, and I

911
00:39:02,840 --> 00:39:07,240
Speaker 2: feel like the difference is pretty is pretty intense. Like Verizon,

912
00:39:07,560 --> 00:39:09,439
Speaker 2: I feel like my problems are solved with the first

913
00:39:09,480 --> 00:39:10,920
Speaker 2: person they stay on the line with you.

914
00:39:11,280 --> 00:39:13,000
Speaker 1: So I mean, but again, there'd be like.

915
00:39:12,960 --> 00:39:15,239
Speaker 3: A little like thing next to your name that.

916
00:39:15,160 --> 00:39:19,440
Speaker 2: Says like, no, are you kidding? They have no idea, No, oh,

917
00:39:19,480 --> 00:39:21,600
Speaker 2: this is oh my gosh. Rich is one of a

918
00:39:22,000 --> 00:39:25,400
Speaker 2: billion journalists in the world that covered TECHNOLOGYE me, nobody cares.

919
00:39:25,400 --> 00:39:27,279
Speaker 1: Now nobody when I call any company, they don't care.

920
00:39:27,320 --> 00:39:29,680
Speaker 2: They don't know who I am from anyone else. But

921
00:39:30,160 --> 00:39:31,839
Speaker 2: I will say, I just feel like Verizon's really good.

922
00:39:31,840 --> 00:39:34,040
Speaker 2: But I understand his frustration in general. And what he's

923
00:39:34,080 --> 00:39:36,560
Speaker 2: trying to say is we pay good money to these

924
00:39:36,600 --> 00:39:39,520
Speaker 2: companies and you feel like sometimes they just take it

925
00:39:39,520 --> 00:39:42,239
Speaker 2: for granted. And I'll give you an example, Simply Safe,

926
00:39:42,400 --> 00:39:47,279
Speaker 2: which I have. They it took I called them one

927
00:39:47,280 --> 00:39:49,000
Speaker 2: time for help, and it was like I was on

928
00:39:49,080 --> 00:39:50,240
Speaker 2: hold for it, said.

929
00:39:50,120 --> 00:39:52,359
Speaker 1: Hold will be a half an hour, half an hour.

930
00:39:52,719 --> 00:39:54,279
Speaker 2: I pay you guys twenty five bucks a month, what

931
00:39:55,440 --> 00:39:58,359
Speaker 2: And so I'm sitting there And so I actually did

932
00:39:58,400 --> 00:40:01,160
Speaker 2: not get this problem solved with them for six months

933
00:40:01,560 --> 00:40:03,680
Speaker 2: because I just didn't feel like waiting on hold for

934
00:40:03,800 --> 00:40:06,319
Speaker 2: half an hour. And so finally once I did, the

935
00:40:06,360 --> 00:40:07,600
Speaker 2: guy was super friendly.

936
00:40:07,640 --> 00:40:08,920
Speaker 1: That was on, you know, that came on.

937
00:40:09,239 --> 00:40:12,400
Speaker 2: Solve my problem in about three minutes, and so I

938
00:40:12,480 --> 00:40:14,120
Speaker 2: was very happy. And I'm like, and it's kind of

939
00:40:14,120 --> 00:40:16,560
Speaker 2: like it resets the clock. It resets like my little

940
00:40:16,600 --> 00:40:18,399
Speaker 2: anger clock, you know. I'm like, Okay, well I'm good

941
00:40:18,400 --> 00:40:21,760
Speaker 2: with Simply Safe again. But the thing is these companies

942
00:40:21,800 --> 00:40:24,360
Speaker 2: just it's like sometimes it does depend on the person

943
00:40:24,400 --> 00:40:28,600
Speaker 2: you get. Sometimes it just kind of goes with the company.

944
00:40:28,640 --> 00:40:30,799
Speaker 2: They're just kind of weird. And that's the day.

945
00:40:30,960 --> 00:40:32,280
Speaker 3: He did say the people are great.

946
00:40:32,640 --> 00:40:34,600
Speaker 1: Oh okay, so it's just companies.

947
00:40:34,640 --> 00:40:36,600
Speaker 3: So he's just angry about the companies, angry about the

948
00:40:36,640 --> 00:40:37,120
Speaker 3: amount of time.

949
00:40:37,239 --> 00:40:40,120
Speaker 1: Yeah, I'm I don't have a solution. Get human.

950
00:40:40,160 --> 00:40:42,359
Speaker 2: You can check out a lot of these companies are

951
00:40:42,360 --> 00:40:44,080
Speaker 2: doing the thing where they call you back when they

952
00:40:44,200 --> 00:40:45,880
Speaker 2: have a customer service person available.

953
00:40:45,920 --> 00:40:47,880
Speaker 1: You can try that, but otherwise you just got to

954
00:40:47,960 --> 00:40:50,520
Speaker 1: roll with it all. Right. Final gadget we'll talk about

955
00:40:50,640 --> 00:40:51,600
Speaker 1: is the Halo Touch.

956
00:40:51,719 --> 00:40:54,000
Speaker 2: This is from Quickset, and this is a smart lock

957
00:40:54,080 --> 00:40:56,759
Speaker 2: for your house that uses your fingerprint, and I see

958
00:40:56,800 --> 00:40:58,640
Speaker 2: the pro and con. The pro is that's probably more

959
00:40:58,680 --> 00:41:02,160
Speaker 2: secure than using a digit, you know, like the four

960
00:41:02,160 --> 00:41:05,080
Speaker 2: digit code or six digit code, because you can't really

961
00:41:05,120 --> 00:41:08,000
Speaker 2: recreate a fingerprint. The downside is you have to have

962
00:41:08,000 --> 00:41:09,839
Speaker 2: everyone that comes to your house that wants to open

963
00:41:09,880 --> 00:41:14,239
Speaker 2: the door scan their fingerprint. So imagine telling your housekeeper

964
00:41:14,640 --> 00:41:17,120
Speaker 2: that they need you need to scan their fingerprint on

965
00:41:17,160 --> 00:41:18,719
Speaker 2: your front door so that they can come in.

966
00:41:19,080 --> 00:41:22,879
Speaker 3: They'd be like no, or you think that's weird to ask?

967
00:41:23,440 --> 00:41:24,040
Speaker 1: Yeah, I think so.

968
00:41:24,239 --> 00:41:27,080
Speaker 2: Really I would not want to be like, oh, Grandma, Nana,

969
00:41:27,120 --> 00:41:28,680
Speaker 2: can you scan your fingerprint?

970
00:41:28,719 --> 00:41:29,200
Speaker 1: Maybe?

971
00:41:29,360 --> 00:41:31,200
Speaker 3: But like we had that at my sorority.

972
00:41:31,360 --> 00:41:34,239
Speaker 1: Also fingerprint scanner, yeah to get in real nice.

973
00:41:34,480 --> 00:41:37,080
Speaker 3: Yeah, oh interesting, that was like five years ago.

974
00:41:37,160 --> 00:41:40,279
Speaker 2: Wow, okay, well that was a corporate that that was

975
00:41:40,320 --> 00:41:43,200
Speaker 2: probably a commercial solution. But this is for your house now,

976
00:41:43,239 --> 00:41:45,680
Speaker 2: which is again we always see these things come through

977
00:41:45,680 --> 00:41:48,520
Speaker 2: the commercial sector, first business to business and now it's

978
00:41:48,560 --> 00:41:50,920
Speaker 2: trickled down two hundred and fifty bucks. They'll be available

979
00:41:51,000 --> 00:41:54,320
Speaker 2: in twenty twenty, in a couple months. I think Halo

980
00:41:54,480 --> 00:41:58,000
Speaker 2: Touch Wi Fi smart lock, I think it's pretty cool. Yeah,

981
00:41:58,040 --> 00:42:00,279
Speaker 2: you can register up to fifty different people or one

982
00:42:00,320 --> 00:42:01,200
Speaker 2: hundred fingerprints.

983
00:42:01,320 --> 00:42:02,240
Speaker 3: I think that's funny.

984
00:42:02,320 --> 00:42:03,440
Speaker 1: Yeah, you have fifty people.

985
00:42:03,840 --> 00:42:05,239
Speaker 2: I have a bunch of people on mine though, Like

986
00:42:05,280 --> 00:42:06,799
Speaker 2: I have an electronic door lock, and I have a

987
00:42:06,800 --> 00:42:08,120
Speaker 2: bunch of people on mind.

988
00:42:08,160 --> 00:42:09,799
Speaker 3: Can you put them in certain like time?

989
00:42:10,200 --> 00:42:10,359
Speaker 4: Oh?

990
00:42:10,360 --> 00:42:14,200
Speaker 3: Absolutely, Yet in a like one in the morning, No, yeah.

991
00:42:14,040 --> 00:42:17,640
Speaker 2: No, you have I definitely don't have the house person

992
00:42:17,719 --> 00:42:21,359
Speaker 2: that comes to clean uh coming in at They do.

993
00:42:21,360 --> 00:42:22,120
Speaker 1: Not have access.

994
00:42:22,200 --> 00:42:24,320
Speaker 3: It's not that she or he would want to, but

995
00:42:24,719 --> 00:42:25,359
Speaker 3: you never know.

996
00:42:25,800 --> 00:42:29,200
Speaker 2: What if someone goes rogue on you and then they're like, oh,

997
00:42:29,280 --> 00:42:31,239
Speaker 2: I have the key code to you know, Rich's house.

998
00:42:31,680 --> 00:42:33,359
Speaker 1: Ye, So yeah, all right.

999
00:42:33,600 --> 00:42:36,000
Speaker 2: Coming up next, we are going to talk to our

1000
00:42:36,120 --> 00:42:39,200
Speaker 2: lovely hosts here in the minivan. We've got Chris Heiser,

1001
00:42:39,480 --> 00:42:42,800
Speaker 2: Renouvo CEO, to tell us what this minivan is all about.

1002
00:42:45,280 --> 00:42:47,760
Speaker 3: You were listening to rich one.

1003
00:42:48,320 --> 00:42:51,439
Speaker 2: All right, we got Renovo CEO Chris Heiser joining us

1004
00:42:51,480 --> 00:42:55,040
Speaker 2: in the minivan. Chris, thanks so much for letting us

1005
00:42:55,120 --> 00:42:55,800
Speaker 2: use the minivan.

1006
00:42:56,040 --> 00:42:58,719
Speaker 5: Hey, thank you rich for having us. This is the

1007
00:42:58,760 --> 00:43:02,279
Speaker 5: coolest minivan in all all of ces. It's down here

1008
00:43:02,320 --> 00:43:04,560
Speaker 5: on the floor in the north hall and excited to

1009
00:43:04,600 --> 00:43:05,200
Speaker 5: be here with you.

1010
00:43:05,239 --> 00:43:07,600
Speaker 1: Tell me about Renovo and this minivan. What do you

1011
00:43:07,600 --> 00:43:07,960
Speaker 1: guys do.

1012
00:43:08,239 --> 00:43:10,320
Speaker 5: So, Renovo's a software company, and what we do is

1013
00:43:10,360 --> 00:43:14,239
Speaker 5: we help automotive companies develop the core software inside of

1014
00:43:14,280 --> 00:43:17,279
Speaker 5: the cars that you're sitting in now. And cars are

1015
00:43:17,440 --> 00:43:18,719
Speaker 5: basically big computers.

1016
00:43:18,760 --> 00:43:18,960
Speaker 1: Now.

1017
00:43:19,000 --> 00:43:23,279
Speaker 5: Where people see vehicles, we see computing, sensors, data, and

1018
00:43:23,360 --> 00:43:27,200
Speaker 5: so everything that goes into this vehicle requires hundreds or

1019
00:43:27,200 --> 00:43:29,759
Speaker 5: thousands of software developers all over the world working in

1020
00:43:29,800 --> 00:43:32,759
Speaker 5: tandem to produce something like this. And what Raalvo does

1021
00:43:32,800 --> 00:43:34,920
Speaker 5: is we help them evaluate the data that comes from

1022
00:43:34,920 --> 00:43:37,359
Speaker 5: these vehicles so they can learn faster, they can build

1023
00:43:37,400 --> 00:43:38,120
Speaker 5: better software.

1024
00:43:38,400 --> 00:43:42,040
Speaker 2: What type of data is the typical vehicle today collecting

1025
00:43:42,160 --> 00:43:43,800
Speaker 2: on the driver and the vehicle.

1026
00:43:44,200 --> 00:43:47,000
Speaker 5: Yeah, So what's amazing is vehicles you can buy today

1027
00:43:47,160 --> 00:43:50,120
Speaker 5: might have as many as a dozen cameras, They have

1028
00:43:50,239 --> 00:43:52,400
Speaker 5: radar sensors, they have light our sensors, and they have

1029
00:43:52,520 --> 00:43:57,320
Speaker 5: hundreds of embedded sensors detecting temperature, pressure, or anything that

1030
00:43:57,360 --> 00:43:58,000
Speaker 5: you can think of.

1031
00:43:58,560 --> 00:43:59,799
Speaker 1: So this is one of the.

1032
00:43:59,719 --> 00:44:04,400
Speaker 5: Most sensitive and powerful sensing devices in the world. And

1033
00:44:04,480 --> 00:44:07,719
Speaker 5: so this thing is continuously recording data and it can

1034
00:44:07,800 --> 00:44:10,680
Speaker 5: use it to operate itself. But more importantly, you can

1035
00:44:10,760 --> 00:44:13,440
Speaker 5: use that data to improve how it works. You can

1036
00:44:13,440 --> 00:44:15,200
Speaker 5: see how people interact with it, you can see how

1037
00:44:15,239 --> 00:44:17,480
Speaker 5: it interacts with the world, and if you can get

1038
00:44:17,480 --> 00:44:20,040
Speaker 5: that data to the developers, you can improve the software

1039
00:44:20,080 --> 00:44:22,960
Speaker 5: in real time and ultimately build better, safer, and.

1040
00:44:22,960 --> 00:44:25,600
Speaker 1: More fun vehicles. Well, tell me about this car. What's

1041
00:44:25,640 --> 00:44:27,040
Speaker 1: going on in this minivan?

1042
00:44:27,320 --> 00:44:29,919
Speaker 5: So the Chrysler PACIFICA that we're in today, we use

1043
00:44:30,000 --> 00:44:32,919
Speaker 5: as a way to communicate with people about how much

1044
00:44:33,080 --> 00:44:35,640
Speaker 5: data is actually created. And so you look at something

1045
00:44:35,680 --> 00:44:37,359
Speaker 5: like this, which has the hundreds of sensors that it is

1046
00:44:37,440 --> 00:44:40,920
Speaker 5: mentioned that's generating usually around four to five terabytes of

1047
00:44:40,960 --> 00:44:44,399
Speaker 5: data for every hour that it runs on the road. Wow,

1048
00:44:44,600 --> 00:44:46,760
Speaker 5: it's a massive amount of data. And when you multiply

1049
00:44:46,840 --> 00:44:50,200
Speaker 5: that across a fleet of vehicles, say Teslas six hundred

1050
00:44:50,200 --> 00:44:54,120
Speaker 5: thousand vehicles, it's generating hundreds of petabytes of data every

1051
00:44:54,160 --> 00:44:56,759
Speaker 5: single day. So the challenge is how do you find

1052
00:44:56,800 --> 00:45:00,120
Speaker 5: the interesting pieces of data within that massive haystack. How

1053
00:45:00,160 --> 00:45:01,640
Speaker 5: do you pick that data out and get it to

1054
00:45:01,680 --> 00:45:03,080
Speaker 5: people that need it most, and how do you do

1055
00:45:03,120 --> 00:45:04,480
Speaker 5: that basically in real time?

1056
00:45:04,880 --> 00:45:07,040
Speaker 1: Now, does that mean my car has a hard drive

1057
00:45:07,120 --> 00:45:09,359
Speaker 1: that's some of this data is being stored off? You've

1058
00:45:09,360 --> 00:45:09,680
Speaker 1: got it.

1059
00:45:09,880 --> 00:45:11,759
Speaker 5: I mean I think look at your car like a

1060
00:45:11,840 --> 00:45:14,640
Speaker 5: laptop or a PC. Now, it's exactly the same type

1061
00:45:14,640 --> 00:45:17,400
Speaker 5: of computing devices that are in these vehicles. They have

1062
00:45:17,480 --> 00:45:20,160
Speaker 5: high performance computers that are connected to the sensors in

1063
00:45:20,200 --> 00:45:22,560
Speaker 5: real time, and they're jetterating and storing a lot of data.

1064
00:45:22,680 --> 00:45:24,759
Speaker 2: Yet when my wife's check engine light comes on, she

1065
00:45:24,760 --> 00:45:26,640
Speaker 2: still has to go to the dealership and figure out

1066
00:45:26,719 --> 00:45:27,880
Speaker 2: why that's coming on.

1067
00:45:28,200 --> 00:45:28,399
Speaker 1: Yeah.

1068
00:45:28,400 --> 00:45:30,520
Speaker 5: Well, I think what you're going to see over the

1069
00:45:30,560 --> 00:45:33,239
Speaker 5: next few years is those check engine lights now are

1070
00:45:33,280 --> 00:45:36,240
Speaker 5: going to be really communication with servers in real time,

1071
00:45:36,560 --> 00:45:39,120
Speaker 5: and in many cases those things can be diagnosed and

1072
00:45:39,160 --> 00:45:41,080
Speaker 5: even fixed out in the field with ever having to

1073
00:45:41,160 --> 00:45:43,880
Speaker 5: take the car to a dealership for service. And I

1074
00:45:43,880 --> 00:45:47,080
Speaker 5: think we've gotten used to that being how our laptops

1075
00:45:47,200 --> 00:45:49,960
Speaker 5: or our mobile phones work. Automotive is sort of the

1076
00:45:50,040 --> 00:45:53,040
Speaker 5: last great frontier and making software work the way that

1077
00:45:53,080 --> 00:45:55,839
Speaker 5: we wanted to. There's challenges in the automotive world. It's

1078
00:45:55,880 --> 00:45:57,680
Speaker 5: got to be safety critical, right, this is a life

1079
00:45:57,719 --> 00:46:00,520
Speaker 5: and death situation. But these are these are things that

1080
00:46:00,560 --> 00:46:03,200
Speaker 5: can be achieved with technology, and that's the area that

1081
00:46:03,280 --> 00:46:04,120
Speaker 5: Renoul's working in.

1082
00:46:04,320 --> 00:46:07,720
Speaker 2: So whenever I talk about technology and cars, and especially

1083
00:46:07,800 --> 00:46:11,960
Speaker 2: futuristic cars, we always imagine about software crashes. We're not

1084
00:46:12,000 --> 00:46:15,560
Speaker 2: talking about physical crashes, but people wonder if the software crashes,

1085
00:46:15,600 --> 00:46:17,000
Speaker 2: does my car stop working?

1086
00:46:17,760 --> 00:46:18,440
Speaker 1: Is that the case?

1087
00:46:18,880 --> 00:46:21,799
Speaker 5: Yeah, So one of the biggest challenges you have when

1088
00:46:21,800 --> 00:46:25,200
Speaker 5: designing these is to deal with these unexpected circumstances and

1089
00:46:25,280 --> 00:46:27,760
Speaker 5: make sure that if there is an error, it doesn't

1090
00:46:27,840 --> 00:46:31,080
Speaker 5: lead to something that is safety critical. So Renault's actually

1091
00:46:31,160 --> 00:46:34,439
Speaker 5: here partnering with BlackBerry Acunics. They do a real time

1092
00:46:34,480 --> 00:46:37,680
Speaker 5: operating system that has a lot of safety features built

1093
00:46:37,719 --> 00:46:39,799
Speaker 5: in at the ground level. And a great example of

1094
00:46:39,840 --> 00:46:42,240
Speaker 5: this is that you can have an application that's running,

1095
00:46:42,480 --> 00:46:45,120
Speaker 5: but then you have another application that's watching the first one,

1096
00:46:45,400 --> 00:46:47,759
Speaker 5: and when the first application begins to slow down or

1097
00:46:47,760 --> 00:46:50,440
Speaker 5: have some sort of an issue, that second application can

1098
00:46:50,480 --> 00:46:52,480
Speaker 5: slow the car down, or can swap it out, or

1099
00:46:52,480 --> 00:46:54,680
Speaker 5: can take some other type of measure to make sure

1100
00:46:54,719 --> 00:46:57,920
Speaker 5: that that error doesn't lead to something that could harm someone.

1101
00:46:57,960 --> 00:47:01,160
Speaker 5: And that in the entire auto motor space, and particularly

1102
00:47:01,200 --> 00:47:04,880
Speaker 5: in level four automation fully autonomous vehicles, this is what

1103
00:47:04,880 --> 00:47:09,080
Speaker 5: everyone's working on trying to build, you know, absolutely foolproof,

1104
00:47:10,120 --> 00:47:14,760
Speaker 5: absolutely rock solid software systems and hardware systems that can't fail.

1105
00:47:15,160 --> 00:47:17,480
Speaker 2: Now, when we talk about data and especially the car,

1106
00:47:18,120 --> 00:47:21,799
Speaker 2: what about privacy? Because all this data that's being collected,

1107
00:47:22,560 --> 00:47:25,040
Speaker 2: it tells you how fast I drive, It tells you

1108
00:47:25,400 --> 00:47:27,520
Speaker 2: if I take corners at a high rate of speed,

1109
00:47:27,560 --> 00:47:30,480
Speaker 2: if I'm an aggressive driver. A lot of people would

1110
00:47:30,480 --> 00:47:36,520
Speaker 2: like to have access to that information. The insurance companies, cities, states, government, whatever,

1111
00:47:37,000 --> 00:47:39,360
Speaker 2: how concerned we need to be about privacy when it

1112
00:47:39,360 --> 00:47:40,080
Speaker 2: comes to our cars.

1113
00:47:40,360 --> 00:47:43,080
Speaker 5: I think it's a really important discussion to have, and

1114
00:47:43,120 --> 00:47:45,080
Speaker 5: it's something that we need as an industry to take

1115
00:47:45,160 --> 00:47:48,160
Speaker 5: head on. Renovo operates on a global basis. We have

1116
00:47:48,160 --> 00:47:51,399
Speaker 5: customers in Europe. They are very very strong privacy laws

1117
00:47:51,440 --> 00:47:54,400
Speaker 5: GDPR in Europe that cover what you can and cannot

1118
00:47:54,440 --> 00:47:56,359
Speaker 5: do with data and what type of consent you need

1119
00:47:56,360 --> 00:47:59,680
Speaker 5: to get from the people that generate that data. Those

1120
00:47:59,719 --> 00:48:02,640
Speaker 5: laws aren't quite strong in the United States, although in

1121
00:48:02,680 --> 00:48:07,040
Speaker 5: California CCPA came into effect in January of this year.

1122
00:48:07,640 --> 00:48:11,399
Speaker 5: You're seeing this discussion come to the fore and it's

1123
00:48:11,600 --> 00:48:16,080
Speaker 5: important to have because the data can lead to incredibly

1124
00:48:16,120 --> 00:48:19,799
Speaker 5: positive outcomes for cities, for people safety, and I think

1125
00:48:19,800 --> 00:48:21,920
Speaker 5: there's also a question of does that turn into something

1126
00:48:21,920 --> 00:48:25,160
Speaker 5: that becomes a surveillance system that we'd all be uncomfortable with.

1127
00:48:25,760 --> 00:48:27,360
Speaker 5: We have to have this discussion, and it's going to

1128
00:48:27,360 --> 00:48:31,759
Speaker 5: be technologists, car companies, cities, regulators. We all need to

1129
00:48:31,760 --> 00:48:33,920
Speaker 5: get together and make sure we can build something that

1130
00:48:34,320 --> 00:48:37,280
Speaker 5: generates positive outcome but also protect privacy.

1131
00:48:37,760 --> 00:48:39,960
Speaker 2: All right, give me a little glimpse into the future

1132
00:48:40,239 --> 00:48:43,040
Speaker 2: of automotive. I mean, we know that cars are eventually

1133
00:48:43,040 --> 00:48:45,520
Speaker 2: going to drive themselves. How far are we from that?

1134
00:48:45,600 --> 00:48:48,320
Speaker 2: And just give me what your idea of the future

1135
00:48:48,400 --> 00:48:50,239
Speaker 2: of cars is.

1136
00:48:50,760 --> 00:48:53,480
Speaker 5: Sure, so automation is definitely on the rise, you'll start

1137
00:48:53,520 --> 00:48:57,680
Speaker 5: to see it in low speed, relatively sedate conditions in

1138
00:48:57,760 --> 00:49:01,359
Speaker 5: good weather. Leaders like Way already starting to do fully

1139
00:49:01,360 --> 00:49:04,920
Speaker 5: autonomous rides down in Arizona, and you'll see more and

1140
00:49:04,960 --> 00:49:07,440
Speaker 5: more people doing this. But I think the bigger story

1141
00:49:07,600 --> 00:49:10,720
Speaker 5: is that this vehicle that you're sitting in, in other cars,

1142
00:49:11,000 --> 00:49:13,640
Speaker 5: they're going to become more connected to our digital lifestyles.

1143
00:49:13,840 --> 00:49:15,760
Speaker 5: They're going to be more flexible, they're going to become

1144
00:49:16,120 --> 00:49:19,520
Speaker 5: much more easy to update, and ultimately they're going to

1145
00:49:19,520 --> 00:49:22,359
Speaker 5: allow us to focus more on our lives and take

1146
00:49:22,440 --> 00:49:24,560
Speaker 5: more and more of the driving and the drudgery of

1147
00:49:24,600 --> 00:49:26,759
Speaker 5: commuting away from us. And that's going to be great.

1148
00:49:26,760 --> 00:49:28,759
Speaker 5: We're going to get back time, We're going to get

1149
00:49:28,760 --> 00:49:31,640
Speaker 5: back a lot of choice and personalization. So that's fun.

1150
00:49:31,960 --> 00:49:33,440
Speaker 5: But there's a lot of things we need to do

1151
00:49:33,600 --> 00:49:36,839
Speaker 5: between twenty twenty in that future. But in the next

1152
00:49:36,840 --> 00:49:39,600
Speaker 5: five to ten years, the automotive industry as we know

1153
00:49:39,640 --> 00:49:41,040
Speaker 5: it will be completely remade.

1154
00:49:41,400 --> 00:49:44,359
Speaker 2: Chris Heiser, Ronovo CEO, thanks so much for lending us

1155
00:49:44,400 --> 00:49:45,160
Speaker 2: this car today.

1156
00:49:45,200 --> 00:49:47,200
Speaker 1: We appreciate it. Thanks for your vision of the future

1157
00:49:47,280 --> 00:49:55,920
Speaker 1: and do good stuff with our data. Please, Rich Thanks.

1158
00:49:54,040 --> 00:49:56,360
Speaker 2: Well, now we know what this minivan is all about.

1159
00:49:56,400 --> 00:49:59,560
Speaker 2: My personal favorite part is the discolight.

1160
00:50:00,080 --> 00:50:01,399
Speaker 3: Yeah, it's a party in here.

1161
00:50:01,520 --> 00:50:02,200
Speaker 1: It's a party.

1162
00:50:02,719 --> 00:50:06,719
Speaker 2: You're Vegas, baby, So it's been a blast here at

1163
00:50:06,760 --> 00:50:08,000
Speaker 2: ce S twenty twenty.

1164
00:50:08,080 --> 00:50:09,560
Speaker 1: I love discovering this stuff.

1165
00:50:09,600 --> 00:50:12,480
Speaker 2: I love sharing it with you, So be sure to

1166
00:50:12,520 --> 00:50:15,479
Speaker 2: check out my Instagram at rich on Tech for all

1167
00:50:15,560 --> 00:50:18,720
Speaker 2: the videos and go to my Facebook pages.

1168
00:50:18,719 --> 00:50:19,640
Speaker 1: While Facebook dot.

1169
00:50:19,520 --> 00:50:22,880
Speaker 2: Com slash rich on Tech producer Megan, how can people

1170
00:50:23,200 --> 00:50:24,719
Speaker 2: submit questions to the website?

1171
00:50:24,920 --> 00:50:26,160
Speaker 3: Uh, check out.

1172
00:50:26,040 --> 00:50:30,319
Speaker 4: Rich on Tech dot tv and there is a contact

1173
00:50:30,480 --> 00:50:34,000
Speaker 4: page and you just go there, fill out your question and.

1174
00:50:34,120 --> 00:50:36,880
Speaker 3: Rich gets back to you pretty pretty fast.

1175
00:50:37,160 --> 00:50:40,880
Speaker 2: And if people want to see you on Twitter, how

1176
00:50:40,960 --> 00:50:41,719
Speaker 2: can they find.

1177
00:50:41,480 --> 00:50:44,319
Speaker 3: You Twitter dot com slash producer Megan.

1178
00:50:44,360 --> 00:50:47,080
Speaker 2: You can follow all of her antics and again, go

1179
00:50:47,160 --> 00:50:51,040
Speaker 2: to rate this podcast dot com slash rich on Tech.

1180
00:50:51,600 --> 00:50:55,000
Speaker 2: Rate this podcast dot com slash rich on Tech. The

1181
00:50:55,200 --> 00:50:57,440
Speaker 2: only way we're gonna grow our audience. I know you

1182
00:50:57,480 --> 00:50:59,720
Speaker 2: want to keep this a secret and keep it to yourself,

1183
00:51:00,040 --> 00:51:01,840
Speaker 2: but I would love if you shared the rich on

1184
00:51:01,840 --> 00:51:04,279
Speaker 2: Tech podcast with your friends. So to do that, just

1185
00:51:04,280 --> 00:51:06,280
Speaker 2: send them a message with a link to the podcast

1186
00:51:06,320 --> 00:51:08,200
Speaker 2: and say I think this is something that you would

1187
00:51:08,239 --> 00:51:11,320
Speaker 2: really like and you would really enjoy. And for the public,

1188
00:51:11,640 --> 00:51:13,799
Speaker 2: just go to rate this podcast dot com slash rich

1189
00:51:13,840 --> 00:51:15,719
Speaker 2: on tech and leave a nice note or leave a rating.

1190
00:51:15,960 --> 00:51:17,279
Speaker 1: That website will help you do it.

1191
00:51:17,520 --> 00:51:20,359
Speaker 2: That's gonna do it for us from here at CES

1192
00:51:20,640 --> 00:51:22,520
Speaker 2: twenty twenty in Las Vegas.

1193
00:51:22,640 --> 00:51:25,200
Speaker 1: Thanks so much for listening. We'll talk to you real soon.

1194
00:51:25,840 --> 00:51:26,960
Speaker 1: Thanks for listening.

1195
00:51:27,360 --> 00:51:31,080
Speaker 2: Listening, more listening, more listening, more listening, more listening,