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Speaker 1: T mobiles free, Netflix, Steel has a big new catch.

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Speaker 1: Consumer Reports slams Tesla's autopilot, The magic behind Google Duplex,

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Speaker 1: plus your tech questions. What's going on? I'm Rich Demiro.

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Speaker 1: This is Rich on Tech, the podcast where I talk

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Speaker 1: about this stuff I think you should know about happening

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Speaker 1: in the tech world. Plus I answer your questions with

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Speaker 1: the help of producer Megan. What's up? Producer Megan? Hey,

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Speaker 1: how are you good? How now? A couple weeks ago

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Speaker 1: I asked you to change your Twitter handle, yes, from

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Speaker 1: your name to producer Megan. How is that transition going?

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Speaker 2: You know? It's fun because I think that people can

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Speaker 2: find my Twitter obviously easier and they can see the

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Speaker 2: fun stories that we're doing that I post about because

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Speaker 2: obviously you post a lot. But I have a different angle.

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Speaker 1: You have a different angle. What is your angle? What

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Speaker 1: do you think that is?

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Speaker 2: I I'm slowly discovering whatever my angle is.

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Speaker 1: Just behind the scenes, okay, be oh interesting?

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Speaker 2: So kind of liked the camera You're.

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Speaker 1: Giving folks like a little taste of stuff. Well, yeah,

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Speaker 1: welcome to everyone joining us on Facebook Live. We're doing

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Speaker 1: it there too, so people can watch on Facebook. We

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Speaker 1: do the show live here, and I will say I

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Speaker 1: think the show has evolved in a pretty big way

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Speaker 1: since we started this journey, and I think it's going

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Speaker 1: to continue to evolve. I think it's gotten a lot better.

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Speaker 2: Yeah, I mean it's fine. I'm excited to be a

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Speaker 2: part of it.

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Speaker 1: Do you like the questions this week? Because basically what

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Speaker 1: I do is you guys email me a whole bunch

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Speaker 1: of questions. I forward them to Megan and then she

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Speaker 1: picks the ones she likes to feature on the show.

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Speaker 1: So did you find some good ones this week?

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Speaker 2: I found some really good ones, some interesting questions that

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Speaker 2: we haven't gotten before that I haven't read before.

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Speaker 1: Okay, well that's good. Yeah, And if you're watching on Facebook,

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Speaker 1: you can call in the number on your screen. We'll

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Speaker 1: take you as part of the show as well. And

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Speaker 1: the way that works, if you're listening on Facebook and

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Speaker 1: you get in on the call, just kind of hold

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Speaker 1: on until you hear me announce your number, so I

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Speaker 1: might put you on whole That's the way it works.

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Speaker 1: Because we're kind of producing this all ourselves. So there's

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Speaker 1: a lot of moving pieces in the show. So let's

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Speaker 1: just get right into what's happening with Apple, they are

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Speaker 1: holding one of their biggest events of the year. They

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Speaker 1: usually hold maybe three events a year, one for the

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Speaker 1: iPhone one kind of you know event where they just

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Speaker 1: have a bunch of Actually now it's just about two

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Speaker 1: events a year, so it's well, you know what, near

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Speaker 1: mind it is three because one of them is usually

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Speaker 1: about their services, like remember they one with like the

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Speaker 1: Apple TV Plus and all that stuff, which was a

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Speaker 1: total bummer.

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Speaker 2: And Apple News Plus.

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Speaker 1: Yeah, Apple News Plus, Apple TV Plus. And the next

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Speaker 1: one is WWDC and this is happening on June third

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Speaker 1: up in San Francisco, really San Jose. So what happens

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Speaker 1: at WWDC is they have a whole bunch of developers

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Speaker 1: come out and kind of celebrate Apple. Not only do

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Speaker 1: they celebrate what Apple's accomplished with their operating system and

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Speaker 1: their products, but also they learn how to create the

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Speaker 1: apps that we know and love. So if you're a

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Speaker 1: developer from like Milwaukee that makes a cool iPhone app

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Speaker 1: or anywhere the Netherlands, you come to this event and

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Speaker 1: it's it's tough to get tickets. It sells out in

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Speaker 1: like record time every year. Wow, and they have I

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Speaker 1: think about five thousand people come, so it's kind of

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Speaker 1: cool as a journalist. And this is what I love

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Speaker 1: about my job is I'm just like a schlub that

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Speaker 1: gets to like come to these things, right, Like they're

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Speaker 1: just like slub. Well it's true. I mean, I'm not

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Speaker 1: like developing apps. I'm not sitting there like doing anything

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Speaker 1: amazing for the world. But yet Apple is like, oh,

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Speaker 1: you can come, you know what I mean.

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Speaker 2: Yeah, and like you're covering the event. You're telling the

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Speaker 2: story of what's happening.

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Speaker 1: It's not nothing, yeah, but it's in the scheme of things,

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Speaker 1: Like I'm not creating a life changing app, you know

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Speaker 1: what I mean. Like a lot of the people there

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Speaker 1: have created things that are pretty amazing. People have made

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Speaker 1: a lot of money off of their apps. I mean,

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Speaker 1: there's there's some amazing stories that come out of this show.

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Speaker 1: I call it show. It's really an event. But they

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Speaker 1: stay for like the whole week. I go for basically

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Speaker 1: about three hours on Monday morning, I hear the whole keynote,

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Speaker 1: and enduring the keynote, they kind of show you what's next.

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Speaker 1: Now you know. I wrote that book one hundred and

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Speaker 1: one Handy Tech Tips for the iPhone.

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Speaker 2: No, I have no idea what he's talking.

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Speaker 1: So the book is really about iOS twelve. And so

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Speaker 1: me when I'm sitting in the audience, I'm sitting there going,

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Speaker 1: oh my gosh, look at all these things I need

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Speaker 1: to update in the next version of the book. If

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Speaker 1: that happens, no guarantee that that's gonna that's gonna happen.

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Speaker 1: But this is me writing the book.

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Speaker 2: Is that a typewriter?

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Speaker 1: No, I'm actually I've upgraded to a computer, so I'm

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Speaker 1: using a computer now typewriter. But yeah, so anyway we

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Speaker 1: learn basically, this is the thing I hate about the

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Speaker 1: show is that they show us a whole bunch of

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Speaker 1: stuff that does not come out for a while. So

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Speaker 1: they show us all this great software and all the

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Speaker 1: new features of iOS and of course the iPad and

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Speaker 1: the MacBooks, and then they say, oh, and this will

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Speaker 1: come in the fall, and see then you have to wait, like,

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Speaker 1: you know, three to six months for this stuff to

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Speaker 1: actually hit your phone. But it's fun. And the main

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Speaker 1: thing that people do when they look at these invites

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Speaker 1: is they try to figure out what Apple means by

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Speaker 1: the invites. And so the invite they sent for WWDC,

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Speaker 1: it was a picture of a unicorn with its mind blown.

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Speaker 1: So there's like a whole bunch of like stuff coming

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Speaker 1: out of the unicorn's head, like augmented reality, and you know,

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Speaker 1: the app store and all these little things that nerds love, right,

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Speaker 1: So I love this kind of stuff. I love just

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Speaker 1: seeing what the vision for the company is because it

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Speaker 1: is getting much more competitive these days because iPhone rules

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Speaker 1: in the US, but when you think about the world,

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Speaker 1: there's a big world out there, and so Apple is

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Speaker 1: just getting more competitive with what they do and the

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Speaker 1: features that they add to the iPhone because people are

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Speaker 1: now more critical than ever of kind of what they

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Speaker 1: have in their pocket and what they're using. So anyway,

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Speaker 1: so that's happening June third, I will definitely be up

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Speaker 1: there and I will bring you all the updates for

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Speaker 1: what you need to know.

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Speaker 2: One question, how much does it cost to go if

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Speaker 2: you're a developer?

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Speaker 1: A lot. It's it's gosh, let me shout look it up.

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Speaker 2: It's it's a yeah, I'm just curious. Yeah, I'm working

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Speaker 2: on an app.

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Speaker 1: It's WWDC twenty nineteen. Tickets. They probably don't even ticket price.

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Speaker 1: I love that I can just google this and see

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Speaker 1: sixteen hundred bucks. Wow. So all right with that said,

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Speaker 1: producer Megan. First question.

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Speaker 2: Okay, so our first question is from Instagram and it's

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Speaker 2: Apple related from Brandon K nine two seven. Hey, Rich,

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Speaker 2: how much hands on time have you had with the

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Speaker 2: Galaxy S ten. I have been a longtime Apple user

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Speaker 2: and currently have the iPhone X iPhone ten. Since it

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Speaker 2: came out. I feel like it's starting to slow down

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Speaker 2: and the battery life on it is getting pretty bad.

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Speaker 2: It's starting to make me want to try out the

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Speaker 2: S ten.

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Speaker 1: Interesting. Okay, So Brandon was that his name? Yeah, Brandon.

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Speaker 1: So here's my advice. Number one. He has the iPhone ten. Right, So,

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Speaker 1: if you have the iPhone ten and things are slowing down,

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Speaker 1: I don't think you need a new phone. And I'm

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Speaker 1: not trying to knock the S ten. I mean I

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Speaker 1: and with respect to your question about how much hands

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Speaker 1: on time. So here's what happens usually with phones. So

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Speaker 1: usually I get a device as a review unit, and

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Speaker 1: I use it for a couple of weeks, right to

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Speaker 1: kind of come up with my initial thoughts and what

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Speaker 1: I think of this thing, and then after a while

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Speaker 1: I'll switch back to kind of what I'm using most

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Speaker 1: of the time, which is either like my ant preferred

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Speaker 1: Android or my preferred iOS device, and then they come

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Speaker 1: out with a big software update, a major update to

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Speaker 1: the camera, major update to the operating system, whatever it is,

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Speaker 1: and I'll go back to that device to kind of

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Speaker 1: revisit it. And that's probably like a month later, right,

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Speaker 1: because a lot of times these devices come out and

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Speaker 1: then they get a big software update afterwards, and so

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Speaker 1: you want to go back to them. So that's kind

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Speaker 1: of like my experience with the S ten is I

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Speaker 1: probably used it for a couple of weeks and then

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Speaker 1: I've used it a little bit more after that. It's

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Speaker 1: a good phone. It's a very solid phone. I do

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Speaker 1: have some other favorites out there, but I think overall,

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Speaker 1: the S ten has kind of like every feature you want.

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Speaker 1: I don't think the camera's as good as some of

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Speaker 1: the other phones out there, like the pixel, but the

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Speaker 1: pixel is also very boring. So to answer your question,

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Speaker 1: what I would do is, I'd probably stick with the

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Speaker 1: iPhone because I don't know if you need to switch

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Speaker 1: phones just because your iPhone is slowing down. I think

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Speaker 1: you're probably getting a little bit bored with the iPhone,

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Speaker 1: but that doesn't mean you should switch because it's expensive

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Speaker 1: to switch, and you have the iPhone ten, which is

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Speaker 1: like a brand new phone. So my advice would be

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Speaker 1: to just actually go in and start over. So go

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Speaker 1: into your settings, factory form at it, which means you're

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Speaker 1: going to RaSE it back to the way the factory

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Speaker 1: put it, and then don't do a backup restore. So

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Speaker 1: don't restore it from your old phone. Literally, just go

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Speaker 1: through and install all the apps once again, and your phone,

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Speaker 1: I think will run like new, and I think you'll

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Speaker 1: be just fine.

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Speaker 2: I mean that takes a lot of work.

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Speaker 1: Though, Yeah, but you know what, Yeah, it's a thousand

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Speaker 1: dollars afternoon.

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Speaker 2: How often do you recommend doing a factory reset?

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Speaker 1: I do that pretty much once a year, i'd say

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Speaker 1: with the iPhone. Yeah. In fact, when I get new phones,

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Speaker 1: I don't like to restore them because think about it,

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Speaker 1: you're restoring all the mistakes that you made on your

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Speaker 1: old phone, all the settings, all the gunk from the apps,

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Speaker 1: all this stuff. Like why do you want to do that?

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Speaker 1: Like start fresh? It takes an afternoon on a Saturday,

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Speaker 1: and you know, yeah, you have to redo your home

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Speaker 1: screen and all that stuff. But like it's kind of fun.

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Speaker 2: It's like a fresh cleaning closet.

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Speaker 1: Maricondo, I like that. Good question, good answer. That So

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Speaker 1: T Mobile. T Mobile is the carrier I love to

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Speaker 1: hate because T Mobile they here's the thing about T Mobile.

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Speaker 1: They're like the loudest person in the room. Right, They're

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Speaker 1: always screaming. I feel like, you know if you think

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Speaker 1: about T Mobile, Yeah, don't you always see an ad

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Speaker 1: on TV for T Mobile? Like sure, Verizon and AT

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Speaker 1: and T. But T Mobile is always like kind of

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Speaker 1: hammering the other people, right, They're always like we're the best,

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Speaker 1: We're the best. Where the best, like Verizon sucks eighteen

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Speaker 1: T sucks. But T Mobile is not perfect, right, they

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Speaker 1: do have their downsides. And number one, their network is

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Speaker 1: just simply not as good as AT and T of Verizon.

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Speaker 1: That's just a fact. But they're getting better. But here's

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Speaker 1: what I love. Let me just give you an example

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Speaker 1: of here's what something they did. So they sent an

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Speaker 1: email today to all journalists with like some news and

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Speaker 1: the news. The headline was love your discount, not your carrier.

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Speaker 1: T Mobile will match or beat that discount on magenta

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Speaker 1: and magenta is their color. Right, So the email goes

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Speaker 1: into explaining the fact that they are introducing a new

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Speaker 1: plan in uh, let's see in June. I think June second,

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Speaker 1: where a lot of people stick with their cell phone

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Speaker 1: carrier because they have a great discount. Right if you're

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Speaker 1: with AT and t 're on this old plan. So

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Speaker 1: now they're saying, call us up. We will match that

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Speaker 1: and basically give you that same discount, so you can

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Speaker 1: switch to us and start fresh. So that's number one.

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Speaker 1: Then they hide in this thing the fact that they're

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Speaker 1: changing the name of their plan. So T Mobile used

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Speaker 1: to be called T Mobile one. Now it's being called

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Speaker 1: T Mobile Magenta and then Magenta Plus, which I don't know.

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Speaker 1: Why why do you need to change the name, Like

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Speaker 1: what's the deal? Like why that's so complicated? Okay, So

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Speaker 1: that's number one. Number two. Then this is, by the way,

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Speaker 1: about towards the end of the email. So the new plan,

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Speaker 1: you get some more benefits, including three gigs of high

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Speaker 1: speed smartphone hotspot, which is great. People love that used

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Speaker 1: to be whatever they say, it's a three dollars value

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Speaker 1: per line whatever. T Mobile one had no LTE hotspot,

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Speaker 1: it was all slowed down. So and hotspot is when

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Speaker 1: you connect to your phone for your data, like from

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Speaker 1: your computer versus like a Wi Fi hotspot. Right, it's

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Speaker 1: safer to do it that way. But then they put

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Speaker 1: number three Netflix on US changes to account for the

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Speaker 1: Netflix price increase earlier this year, Magenta includes Netflix Basic

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Speaker 1: for families. So it used to be Netflix Now it's

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Speaker 1: Netflix Basic. By the way, Netflix Basic has no HD video.

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Speaker 1: Do you want to watch videos and non HD? No?

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Speaker 1: So I mean you're getting it for free? You don't care?

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Speaker 2: No I care?

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Speaker 1: I mean no, no HD is. You don't want that.

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Speaker 1: So if you want to continue on the Netflix Standard plan, now,

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Speaker 1: they're going to charge you two dollars a month for that.

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Speaker 1: And I get it. It's two bucks a month, big deal,

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Speaker 1: not that much. But I tweet this out and I

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Speaker 1: get a response from T Mobile saying, Rich, we think

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Speaker 1: you're wrong. You said that people are going to be

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Speaker 1: paying two dollars extra to T Mobile. Well they're not.

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Speaker 1: It's Netflix. There's nothing we can do about it. And

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Speaker 1: I said, well, wait a second, So is Netflix charging

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Speaker 1: the two dollars? How does this work? And it's so confusing.

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Speaker 1: The two dollars Netflix pass through charge will be on

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Speaker 1: their T Mobile bill. It's not just our charge, our

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Speaker 1: plan isn't changing anyway. It's so complicated. Bottom line is,

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Speaker 1: if you have T Mobile one and you enjoy Netflix

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Speaker 1: with h D quality, you're going to see a two

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Speaker 1: dollars charge on your bill. Or you can now get

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Speaker 1: rid of Netflix altogether so you don't have that benefit,

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Speaker 1: so you don't have the two dollars charge on your bill.

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Speaker 1: Or you can switch to T Mobile Magenta and get

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Speaker 1: T Mobile Basic for free, which has no HD streaming

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Speaker 1: by the way. Yeah, so it's it's going to be

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Speaker 1: old school quality. Okay, you know what that means, Megan.

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Speaker 2: It's time for another question. Yes, okay, So our next

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Speaker 2: question is from Mark Rudisil. Oh, Rude Rudisil. I bet

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Speaker 2: that's pronounced a lot better, like it's like friend.

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Speaker 1: No, they don't, No one else knows that.

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Speaker 2: So this is about cell phone traveling in Europe. I

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Speaker 2: was wondering what is the most economical way to have

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Speaker 2: a cell phone while vacationing in Europe?

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Speaker 1: Oh okay, So if you said, Mark, Yeah, if Mark

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Speaker 1: would have asked me this a couple of years ago,

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Speaker 1: I would have told him that getting a local SIM

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Speaker 1: card is probably the easiest and the most economical, because

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Speaker 1: you know, it was really expensive to bring your phone

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Speaker 1: from America over to Europe, and so you would just

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Speaker 1: get a SIM card there and pop it in your

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Speaker 1: phone and it would work great. I've done that many times.

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Speaker 1: I've done that in Spain, I've done that in England,

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Speaker 1: and every state or every country over there is slightly

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Speaker 1: different because some have like, like when I got my

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Speaker 1: SIM card in Spain, they wanted like all this personal information,

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Speaker 1: like my driver's license and all this stuff. I'm like,

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Speaker 1: I'm not signing up for a plan. I'm just like

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Speaker 1: buying a SIM They said, no, that's the way our

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Speaker 1: government works. So okay, everyone's different. So that's number one,

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Speaker 1: there's a little bit of a learning curve. Number two,

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Speaker 1: your phone has to support it, right, So your phone

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Speaker 1: has to be able to have an unlocked SIM card slot,

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Speaker 1: which most of them for international do. So that's what

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Speaker 1: I used to recommend. Now I just recommend adding the

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Speaker 1: ten dollars a day to your plan. If you have

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Speaker 1: AT and T or Verizon, it's basically ten dollars a

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Speaker 1: day to use your phone the same way overseas that

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Speaker 1: you use it here. There are some limits on the

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Speaker 1: data and stuff that you can use but to me,

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Speaker 1: I think that's worth it. Now if you do the

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Speaker 1: math and you say, rich, I'm crunching the numbers here right,

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Speaker 1: I'm crunching the numbers and I'm coming up with three

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Speaker 1: hundred dollars a month. A yeah, it's like you're like

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Speaker 1: there's a lot of like computing going on. Yeah, okay,

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Speaker 1: So you do that and it comes out to three

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Speaker 1: hundred dollars a month, which sounds like a law. But

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Speaker 1: how long are you taking a If you're taking a

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Speaker 1: month long vacation, you can afford three hundred dollars for

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Speaker 1: the month exactly. I'm assuming he's it's going for a

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Speaker 1: normal time, which is probably like a week if you're

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Speaker 1: going to Europe. So a week is seventy bucks. That's

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Speaker 1: seventy dollars to use your phone the way you use

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Speaker 1: it here, I say, just do that. So what you

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Speaker 1: need to do is just call up at and T

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Speaker 1: or Verizon or I'm not sure what Sprint does, but

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Speaker 1: and with T Mobile it's included actually, so if you

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Speaker 1: have T Mobile, you're fine if you're on their one plan,

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Speaker 1: if you're on eighteen tier Verizon usually for ten dollars

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Speaker 1: a day, you can add the data and you're good

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Speaker 1: to go.

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Speaker 2: So what about just putting your phone in airplane mode

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Speaker 2: and just calling people through Wi Fi? Ef No, some

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Speaker 2: people don't want to spend.

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Speaker 1: Ten dollars a day. Okay, I hear you. I hear you.

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Speaker 2: Economical.

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Speaker 1: Oh he said economic. Okay, but but he said, how

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Speaker 1: do I use? Okay? So, yes, Megan, you came up

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Speaker 1: with the right answer. Well though, you okay, okay, the

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Speaker 1: right answer. Yes, the most economical way is to turn

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Speaker 1: off your phone and never use it. But or or

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Speaker 1: to put airplane mode and then Wi Fi. Yeah, that's

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Speaker 1: the most economical, but that's also the most annoying. So

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Speaker 1: if you want to do that, mark, you can do it.

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Speaker 1: But I'm giving you my advice as someone who has

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Speaker 1: traveled to these places, and I've tried different things. I mean,

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Speaker 1: believe me. I tried doing it on the company phone, which,

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Speaker 1: by the way, was a big pain because you got

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Speaker 1: to call someone in your company ask them to add

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Speaker 1: the international plan. It's a whole rigamarole. I tried doing

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Speaker 1: the thing, right, I didn't do anything, and I got

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Speaker 1: a nine hundred dollars bill from AT and T because

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Speaker 1: I uploaded like thirty megabytes of pictures to dropbox and

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Speaker 1: thirty megabytes in China was nine hundred dollars. So, by

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Speaker 1: the way, if that happens to you, you call your

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Speaker 1: company and you ask them to pro rate or backdate you.

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Speaker 1: So ask them to put on the international plan backdated,

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Speaker 1: and they can do it. They'll take a little bit

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Speaker 1: of like like the guy actually was really mean to me.

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Speaker 1: He was like, this is your mistake. You deserve to pay.

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Speaker 1: I was like, come on, dude, I'm like, come on,

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Speaker 1: this is like who I am. So it was like

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Speaker 1: a thirty dollar They made me pay thirty dollars so wow. Anyway,

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Speaker 1: well that is yeah, that was a great value. What happened?

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Speaker 1: What do I do with all my papers? I have

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Speaker 1: no where? Did like the rest of my questions go? Okay,

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Speaker 1: they just merged into I took over.

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Speaker 2: I'm just gonna start talking about the.

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Speaker 1: Story Consumer Reports is knocking Tesla once again. I'm beginning

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Speaker 1: to think that Consumer Reports is clickbaiting us with these

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Speaker 1: Tesla stories, because it seems like every six months, Consumer

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Speaker 1: Reports somehow like majorly knocks Tesla, and then they come

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Speaker 1: back six months later and they say, oh, we like

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Speaker 1: them again, and this has happened a couple times. I remember,

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Speaker 1: you know, several times in the history of these two

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Speaker 1: companies that this has happened. Well, now Consumer Reports is

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Speaker 1: saying that autopilot technology on Tesla is not very good.

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Speaker 1: In fact, it requires significant intervention from drivers, and it's

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Speaker 1: far less competent than a human driver. Now, if I

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Speaker 1: had to imagine autopilot, which you know, it's an emerging technology, yeah,

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Speaker 1: of course it's less competent than a human right, duh yeah,

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Speaker 1: So I don't do I have something for duh? No, no,

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Speaker 1: I do, Like, wait, I don't have Yeah, I don't

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Speaker 1: have that one. So but the reality is there's okay.

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Speaker 1: But there's a couple of interesting things that they say

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Speaker 1: in this article. This is from tech Spot, which is

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Speaker 1: basically rewriting the Consumer Reports blog. But they say autopilot

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Speaker 1: has difficulty detecting vehicles that approach quickly from behind, which

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Speaker 1: means that Tesla kind of cuts off cars that are

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Speaker 1: driving faster than it, which is kind of risky. But

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Speaker 1: you see people do that all the time on the freeway.

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Speaker 1: So I guess maybe you know what. Here's the problem.

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Speaker 1: The engineers at Tesla are from Los Angeles because they're

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Speaker 1: right here in Hawthorne. They are programming this autopilot to

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Speaker 1: drive like an LA driver.

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Speaker 2: I don't know if we need more LA driver.

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Speaker 1: It's so funny because literally I am I am. I

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Speaker 1: am a grandpa driver. Okay, I will tell you. Have

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Speaker 1: you ever been in the car with me? You are? Yeah? Yeah?

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Speaker 1: Did you notice that I was a grandpa driver or no? Yeah,

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00:18:47,240 --> 00:18:48,520
Speaker 1: I don't want to say anything. It was when we

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Speaker 1: first started working. Yeah, but you notice that, right, Okay,

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Speaker 1: I'm a grandpa driver.

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Speaker 2: Stay in the outside lane. Yeah, thirty miles per hour and.

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Speaker 1: Not that I'm not that slow, but no, you just

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Speaker 1: take your time, take my time. I don't care. I

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Speaker 1: am not cutting people off, honestly, I respect. I'm a

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Speaker 1: simple merger. I'm very easy, right, And I will tell

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Speaker 1: you that people don't like it on the road because

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Speaker 1: what every day when I'm driving home, it's like someone

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Speaker 1: I see it every time they come right up to

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Speaker 1: your the bumper on your car, super close. And then

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Speaker 1: I'm just like, I'm not speeding up. I don't care.

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Speaker 1: I'm listening to my podcast, not my own podcast, but

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Speaker 1: a podcast, and well sometimes.

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Speaker 2: My own Honestly, it's probably.

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Speaker 1: Yeah, nine times out of ten, it's my podcast. So

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Speaker 1: and then I go and you know, the guy of

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Speaker 1: course like finds a little opening on the left and here,

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Speaker 1: you know, and he comes around and it's like, I

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Speaker 1: don't care, and of course he's looking at me for

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Speaker 1: the reaction, for the finger or something, and I'm like, no,

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Speaker 1: I'm not going to give you that satisfaction. Not going

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Speaker 1: to happen.

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Speaker 2: So well, good for you.

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Speaker 1: It's no big deal. By the way, if you're watching

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Speaker 1: on Facebook Live and you have a question, feel free

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Speaker 1: to dial the number on your screen and I will

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00:19:51,640 --> 00:19:54,080
Speaker 1: get you on the show live. So be prepared to

431
00:19:54,119 --> 00:19:56,080
Speaker 1: talk live. Just call the number on your screen on

432
00:19:56,119 --> 00:19:59,040
Speaker 1: Facebook and we'll get you in. But in the meantime, Megan,

433
00:19:59,080 --> 00:20:01,199
Speaker 1: what are the folks saying on Facebook? You have some comments.

434
00:20:01,200 --> 00:20:03,760
Speaker 1: Are you've seeing anything interesting or people asking any questions? There?

435
00:20:03,840 --> 00:20:08,439
Speaker 2: Someone said, no more giveaways? Uh, we have a giveaway today.

436
00:20:08,840 --> 00:20:11,960
Speaker 1: We did a giveaway on KTLI. So I mean we

437
00:20:11,960 --> 00:20:14,560
Speaker 1: did a giveaway. You giveaways, You know what. Giveaways are

438
00:20:14,560 --> 00:20:16,479
Speaker 1: a lot of work. They take a lot to arrange,

439
00:20:16,520 --> 00:20:18,800
Speaker 1: they take a lot to You're the one that has

440
00:20:18,800 --> 00:20:22,280
Speaker 1: to call these people like today. Yeah, you would think

441
00:20:22,280 --> 00:20:25,919
Speaker 1: that like, more giveaways are better, right, But more giveaways,

442
00:20:25,960 --> 00:20:27,560
Speaker 1: Like let's say someone's like, oh, we can give away

443
00:20:27,600 --> 00:20:29,600
Speaker 1: one hundred pairs of tickets. Guess who that falls on?

444
00:20:30,200 --> 00:20:33,320
Speaker 1: Producer Megan over here. She has to she has to

445
00:20:33,320 --> 00:20:35,840
Speaker 1: sit there and call one hundred people and get their

446
00:20:36,240 --> 00:20:38,560
Speaker 1: nailing address and info and all this stuff.

447
00:20:38,720 --> 00:20:42,919
Speaker 2: Also, if you ever enter a contest, like nine times

448
00:20:42,920 --> 00:20:45,600
Speaker 2: out of ten when we call, no one picks up.

449
00:20:45,640 --> 00:20:47,760
Speaker 2: Oh yeah, and then I have to wait two hours

450
00:20:47,760 --> 00:20:50,240
Speaker 2: for you to like actually call back. It's a It

451
00:20:50,280 --> 00:20:51,080
Speaker 2: takes a lot of time.

452
00:20:51,440 --> 00:20:54,720
Speaker 1: It's funny because the people don't pick up because it's

453
00:20:54,720 --> 00:20:57,560
Speaker 1: a number they don't recognize. It's usually the KHL a number.

454
00:20:57,640 --> 00:20:59,720
Speaker 1: But just pray if you see a three two three number.

455
00:20:59,720 --> 00:21:01,840
Speaker 1: Go ahead, Yes, all right, do you have a question, Megan,

456
00:21:02,200 --> 00:21:03,119
Speaker 1: I do have a question.

457
00:21:04,920 --> 00:21:10,040
Speaker 2: This next question is from Cheryl rimmel Is. Facebook spying

458
00:21:10,160 --> 00:21:10,880
Speaker 2: is the subject.

459
00:21:11,000 --> 00:21:12,760
Speaker 1: Oh I love this question already.

460
00:21:13,520 --> 00:21:16,920
Speaker 2: Hi Rich, I enjoy seeing you during the five thirty mornings.

461
00:21:17,400 --> 00:21:18,800
Speaker 1: Go ahead, Hi, rich, I.

462
00:21:18,800 --> 00:21:21,119
Speaker 2: Enjoy seeing you during the five thirty morning news on

463
00:21:21,200 --> 00:21:25,440
Speaker 2: KTLA five. We have a weird phenomenon in my office.

464
00:21:25,680 --> 00:21:27,679
Speaker 2: There are three of us sharing office space, and we

465
00:21:27,760 --> 00:21:31,080
Speaker 2: discuss daily things that we are working on. Within a

466
00:21:31,119 --> 00:21:34,479
Speaker 2: day or so of a discussion, my coworker will receive

467
00:21:34,520 --> 00:21:38,960
Speaker 2: a random sponsored advertisement on Facebook relating to something we

468
00:21:39,000 --> 00:21:45,600
Speaker 2: have discussed. Ordering try tips online, ingredient labels happy socks,

469
00:21:46,240 --> 00:21:47,720
Speaker 2: koa campground.

470
00:21:47,840 --> 00:21:50,680
Speaker 1: Happy socks are good. Actually know what I like my

471
00:21:50,720 --> 00:21:52,399
Speaker 1: happy So I don't like my happy socks as much

472
00:21:52,440 --> 00:21:55,720
Speaker 1: as I do other socks. Anyway, go ahead, Maybe.

473
00:21:55,440 --> 00:22:00,200
Speaker 2: Not always work related, she says. Anyways, this cannot be

474
00:22:00,240 --> 00:22:03,240
Speaker 2: a coincidence. She has an iPhone six, as does my

475
00:22:03,440 --> 00:22:07,080
Speaker 2: other coworker. She must have some sort of app on

476
00:22:07,119 --> 00:22:10,040
Speaker 2: her phone that is spying on our conversations. Do you

477
00:22:10,080 --> 00:22:14,320
Speaker 2: have any idea what this might be? Thank you so much, Cheryl.

478
00:22:14,520 --> 00:22:16,560
Speaker 1: This is a great question, Cheryl. It's one that I

479
00:22:16,560 --> 00:22:18,840
Speaker 1: get all the time. And actually, Megan and I we

480
00:22:18,960 --> 00:22:21,879
Speaker 1: have tested the theory. The theory is if you have

481
00:22:21,960 --> 00:22:24,919
Speaker 1: Facebook installed on your phone and you talk about something

482
00:22:25,080 --> 00:22:27,840
Speaker 1: to someone else, next thing, you know, and ad shows

483
00:22:27,920 --> 00:22:32,119
Speaker 1: up on your feed for that product, and this is

484
00:22:32,440 --> 00:22:34,560
Speaker 1: so you and I we talked. I talked about these socks.

485
00:22:34,560 --> 00:22:38,399
Speaker 1: They're called bombas, right, bombas. Yeah. I went to the

486
00:22:38,440 --> 00:22:40,680
Speaker 1: Point Sky event in New York City, and they gave

487
00:22:40,720 --> 00:22:42,159
Speaker 1: me this in my little gift bag. It was a

488
00:22:42,160 --> 00:22:46,600
Speaker 1: pair of Boomba's Bomba's socks and they're my absolute favorite

489
00:22:46,600 --> 00:22:49,240
Speaker 1: socks in the world. By the way, love these socks

490
00:22:49,280 --> 00:22:51,200
Speaker 1: so much that I will not buy them because they're

491
00:22:51,200 --> 00:22:53,160
Speaker 1: too expensive. They're fifteen dollars a pair, so I will

492
00:22:53,200 --> 00:22:55,320
Speaker 1: not even though I love them. That's a lot for

493
00:22:55,359 --> 00:22:56,159
Speaker 1: one pair of socks.

494
00:22:56,200 --> 00:22:57,399
Speaker 2: I buy one dollar socks.

495
00:22:57,640 --> 00:23:00,919
Speaker 1: One dollar socks, yeah, forever twenty one. Oh my gosh,

496
00:23:00,960 --> 00:23:01,760
Speaker 1: one dollar socks.

497
00:23:01,960 --> 00:23:02,919
Speaker 2: Maybe they're two dollars.

498
00:23:02,960 --> 00:23:05,199
Speaker 1: I don't know, Okay, Well, the point is you like

499
00:23:05,240 --> 00:23:07,560
Speaker 1: a value for your socks, yeah, and so do I.

500
00:23:07,640 --> 00:23:09,520
Speaker 1: But I still like, like I have socks that I like.

501
00:23:09,600 --> 00:23:12,600
Speaker 1: My favorite are well the Boombus.

502
00:23:12,240 --> 00:23:13,639
Speaker 2: Sorry looking at your socks.

503
00:23:14,200 --> 00:23:16,800
Speaker 1: Socks today are from Express, which that's where those are

504
00:23:16,840 --> 00:23:19,520
Speaker 1: my second favorite. Those are great socks and they usually

505
00:23:19,520 --> 00:23:21,600
Speaker 1: sell for about I think it's like three pairs for

506
00:23:21,680 --> 00:23:23,840
Speaker 1: twenty five if they're on sales something like that. Whatever,

507
00:23:23,840 --> 00:23:25,879
Speaker 1: it is. The point is I love these socks. I

508
00:23:25,880 --> 00:23:28,320
Speaker 1: got right, So that's not the point of the story.

509
00:23:28,320 --> 00:23:30,399
Speaker 1: But the point is I told you about them because

510
00:23:30,400 --> 00:23:32,080
Speaker 1: you had never heard of them before, and we kept

511
00:23:32,119 --> 00:23:34,040
Speaker 1: saying it out loud in front of our phones in

512
00:23:34,119 --> 00:23:37,440
Speaker 1: hopes that the boombas would show up on your feed,

513
00:23:37,720 --> 00:23:41,440
Speaker 1: and they didn't. They did not. So here's what's happening, Cheryl.

514
00:23:42,000 --> 00:23:45,520
Speaker 1: Facebook uses something called a Facebook pixel, along with about

515
00:23:45,520 --> 00:23:50,440
Speaker 1: a thousand other ways to get signals as to what

516
00:23:50,480 --> 00:23:53,199
Speaker 1: you're doing, what you're interested in, and what add its

517
00:23:53,200 --> 00:23:55,960
Speaker 1: should show you next. So here's my theory or my

518
00:23:56,040 --> 00:23:59,879
Speaker 1: best solution for what's happening in your office. Facebook sees

519
00:24:00,280 --> 00:24:03,960
Speaker 1: that you look up something online like Koa campgrounds. Right,

520
00:24:04,720 --> 00:24:08,040
Speaker 1: then they see the fact that your phone is on

521
00:24:08,080 --> 00:24:11,000
Speaker 1: the same Wi Fi network as your colleague's phone, right,

522
00:24:11,520 --> 00:24:15,400
Speaker 1: and so your colleague may look up travel and next

523
00:24:15,440 --> 00:24:17,720
Speaker 1: thing you know, they go, hmmm, we see that Cheryl's

524
00:24:17,760 --> 00:24:21,400
Speaker 1: phone is near Megan's phone, and we're just gonna show

525
00:24:21,400 --> 00:24:24,600
Speaker 1: her that Koa campground because we think that maybe she

526
00:24:24,720 --> 00:24:26,399
Speaker 1: might be interested in that as well. And that happens

527
00:24:26,400 --> 00:24:29,800
Speaker 1: all the time. Now, that is a very basic explanation,

528
00:24:29,880 --> 00:24:32,439
Speaker 1: but that's what's happening. So when you go online and

529
00:24:32,480 --> 00:24:34,639
Speaker 1: you search for the new Game of Thrones oreos and

530
00:24:34,680 --> 00:24:36,879
Speaker 1: you think they're so good, and you're at work, and

531
00:24:36,920 --> 00:24:38,960
Speaker 1: next thing you know, Oh my gosh, what happened to

532
00:24:39,000 --> 00:24:41,639
Speaker 1: our lights? Here we are producer Megan, I'll let you

533
00:24:41,720 --> 00:24:44,879
Speaker 1: go and tell them to turn on our lights. But

534
00:24:45,720 --> 00:24:47,480
Speaker 1: in the studio, by the way that we're doing this

535
00:24:47,600 --> 00:24:49,359
Speaker 1: in live, we had the lights go out. They go

536
00:24:49,400 --> 00:24:51,440
Speaker 1: out after a certain amount of time. Apparently I guess

537
00:24:51,440 --> 00:24:55,320
Speaker 1: we're off the clock. But the reality is that this

538
00:24:56,440 --> 00:24:59,439
Speaker 1: system uses a lot of different cues to kind of

539
00:24:59,480 --> 00:25:02,440
Speaker 1: figure out what you should be shown in your feed,

540
00:25:02,480 --> 00:25:05,600
Speaker 1: and when it sees you interacting with people over and over,

541
00:25:05,720 --> 00:25:08,720
Speaker 1: it kind of just assumes that you're talking about this

542
00:25:08,760 --> 00:25:10,680
Speaker 1: stuff with them, and so it just kind of shows

543
00:25:10,720 --> 00:25:12,760
Speaker 1: you their stuff that someone else is talking about. And

544
00:25:12,760 --> 00:25:15,600
Speaker 1: that's how you get this phenomenon of when you talk

545
00:25:15,600 --> 00:25:19,320
Speaker 1: about something at work and next thing you know, you

546
00:25:19,440 --> 00:25:21,200
Speaker 1: see the same stuff that someone else sees at work.

547
00:25:21,200 --> 00:25:24,000
Speaker 1: That's what happens. And you've seen this happen before, like literally,

548
00:25:24,320 --> 00:25:25,800
Speaker 1: we've all seen this. But I will tell you this

549
00:25:26,119 --> 00:25:28,760
Speaker 1: because everyone always asked me this question. In the four

550
00:25:28,840 --> 00:25:30,840
Speaker 1: or five times I've tested this, I've tested it with

551
00:25:30,880 --> 00:25:34,639
Speaker 1: several people, myself, my wife, a guy here, Chris Martinez,

552
00:25:34,640 --> 00:25:37,920
Speaker 1: we tried it. We talked about vacations in a place.

553
00:25:37,920 --> 00:25:39,399
Speaker 1: I can't remember what the place was, but we had

554
00:25:39,440 --> 00:25:41,439
Speaker 1: never been and we both just talked about it with

555
00:25:41,440 --> 00:25:44,080
Speaker 1: our phones out and nothing came up on the feed

556
00:25:44,119 --> 00:25:47,199
Speaker 1: about that place. So, Cheryl, I hate to bust your bubble,

557
00:25:47,240 --> 00:25:50,760
Speaker 1: but it's not listening to you as far as I know.

558
00:25:51,359 --> 00:25:54,040
Speaker 1: But that does not mean that they are not the

559
00:25:54,200 --> 00:25:58,120
Speaker 1: smartest marketers in the entire world. Facebook knows what they're doing.

560
00:25:58,600 --> 00:26:00,960
Speaker 1: And I will tell you back to that Facebook pixel.

561
00:26:01,359 --> 00:26:04,680
Speaker 1: Every single website that you visit has a Facebook pixel

562
00:26:04,720 --> 00:26:07,520
Speaker 1: installed nine times out of ten. And what that Facebook

563
00:26:07,560 --> 00:26:10,920
Speaker 1: pixel does is it reports back to Facebook saying, oh,

564
00:26:11,119 --> 00:26:13,760
Speaker 1: we got Megan here, she just visited this website. And

565
00:26:13,840 --> 00:26:18,280
Speaker 1: so Facebook's advertising database of you begins to build this

566
00:26:18,400 --> 00:26:21,119
Speaker 1: giant database of here's the websites you like to go to,

567
00:26:21,200 --> 00:26:23,399
Speaker 1: Here's the places where you shopped. When you get to

568
00:26:23,440 --> 00:26:25,680
Speaker 1: the checkout page, they know that you're there. So again,

569
00:26:25,960 --> 00:26:27,879
Speaker 1: they have a lot of data. Yeah, doesn't scare you.

570
00:26:27,960 --> 00:26:29,800
Speaker 1: It doesn't scare I could care less, not.

571
00:26:29,720 --> 00:26:32,200
Speaker 2: Really, But I also make the mistake of when I'm

572
00:26:32,240 --> 00:26:35,400
Speaker 2: on Instagram, if I get an AD nine times out

573
00:26:35,440 --> 00:26:38,800
Speaker 2: of ten, it's like, actually something that I would like, right, Well,

574
00:26:38,840 --> 00:26:40,879
Speaker 2: that's I swipe up and I like, go to the

575
00:26:40,920 --> 00:26:42,760
Speaker 2: website and I've never heard of the brand before.

576
00:26:43,119 --> 00:26:44,200
Speaker 1: That's the whole point.

577
00:26:44,280 --> 00:26:46,840
Speaker 2: I know, I know, And it's so for me. I'm like, Oh,

578
00:26:46,880 --> 00:26:50,080
Speaker 2: this is cool. I can learn about new clothing stores

579
00:26:50,080 --> 00:26:50,840
Speaker 2: I've never heard of.

580
00:26:50,960 --> 00:26:53,840
Speaker 1: I totally agree. Gee, but yeah, my wife's same thing.

581
00:26:53,920 --> 00:26:56,119
Speaker 1: She's like, oh, I bought this dress off of Instagram.

582
00:26:56,160 --> 00:26:58,240
Speaker 1: Like what what? Yeah? Like, oh, it's so it's perfect

583
00:26:58,280 --> 00:26:59,960
Speaker 1: for me. I'm like, of course, it's perfect for you.

584
00:27:00,080 --> 00:27:04,000
Speaker 1: It is targeted in like a thousand different ways to you.

585
00:27:04,080 --> 00:27:06,040
Speaker 1: Like they know your body type, they know what you like,

586
00:27:06,119 --> 00:27:08,360
Speaker 1: they know what color you like, they know what other

587
00:27:08,400 --> 00:27:10,800
Speaker 1: people you look at on Instagram that have those similar dresses.

588
00:27:10,800 --> 00:27:16,800
Speaker 1: I mean, it's crazy what they know. So, speaking of AI,

589
00:27:17,400 --> 00:27:20,240
Speaker 1: I find Google Duplex to be fascinating and I've talked

590
00:27:20,280 --> 00:27:22,480
Speaker 1: about it on this podcast before. And the reason I

591
00:27:22,520 --> 00:27:26,000
Speaker 1: think it's fascinating is because Google they love to use

592
00:27:26,040 --> 00:27:28,199
Speaker 1: AI to solve all these kind of problems. Right, And

593
00:27:28,240 --> 00:27:30,920
Speaker 1: I told you the story on a past podcast about

594
00:27:30,920 --> 00:27:34,160
Speaker 1: how we made a restaurant reservation in Palm Desert using

595
00:27:34,200 --> 00:27:38,320
Speaker 1: Google Duplex because the restaurant did not take reservations over

596
00:27:38,760 --> 00:27:41,440
Speaker 1: the internet, and so you have to call. And every

597
00:27:41,440 --> 00:27:43,720
Speaker 1: time we tried calling, they were either closed or didn't answer.

598
00:27:43,960 --> 00:27:45,439
Speaker 1: So I said, hold on, let me, let let me

599
00:27:45,560 --> 00:27:48,840
Speaker 1: offload this to Google and let them do it. And

600
00:27:49,000 --> 00:27:52,239
Speaker 1: Google Duplex, sure enough, had their computer system call and

601
00:27:52,280 --> 00:27:54,440
Speaker 1: make the reservation and it worked out perfectly well. The

602
00:27:54,440 --> 00:27:58,240
Speaker 1: New York Times did an article testing Google Duplex and

603
00:27:58,359 --> 00:28:01,200
Speaker 1: the main thesis of the art article is that about

604
00:28:01,200 --> 00:28:04,280
Speaker 1: twenty five percent of calls placed through Duplex actually start

605
00:28:04,320 --> 00:28:07,640
Speaker 1: with a human, So the AI is not like there, right,

606
00:28:07,920 --> 00:28:10,560
Speaker 1: But seventy five percent is still pretty good. But about

607
00:28:10,600 --> 00:28:13,000
Speaker 1: fifteen percent of calls that began with the automated system

608
00:28:13,080 --> 00:28:15,080
Speaker 1: have a human jump in at some point. So it

609
00:28:15,119 --> 00:28:16,920
Speaker 1: sounds to me like they have this big call center.

610
00:28:16,960 --> 00:28:19,720
Speaker 1: The computers are doing their thing, but when the computer stumbles,

611
00:28:20,000 --> 00:28:21,879
Speaker 1: it kind of flips the call to a human that

612
00:28:21,920 --> 00:28:24,520
Speaker 1: takes over, right, got it? So I imagine that's kind

613
00:28:24,520 --> 00:28:26,000
Speaker 1: of like this, Like the call goes.

614
00:28:25,880 --> 00:28:33,040
Speaker 2: Through, Hey, this is Elcholo, Hi, this is Google.

615
00:28:33,600 --> 00:28:38,320
Speaker 1: I'm calling on behalf of a client. Oh okay, I'd

616
00:28:38,400 --> 00:28:39,320
Speaker 1: like to make a reservation.

617
00:28:41,120 --> 00:28:42,120
Speaker 2: Okay, how many people?

618
00:28:42,240 --> 00:28:42,800
Speaker 1: Four people?

619
00:28:44,320 --> 00:28:44,800
Speaker 2: What time?

620
00:28:46,560 --> 00:28:47,600
Speaker 1: Seven pm?

621
00:28:48,040 --> 00:28:51,480
Speaker 2: Actually we don't have any availability at seven pm?

622
00:28:51,880 --> 00:28:52,400
Speaker 1: Mmmm?

623
00:28:55,160 --> 00:28:55,840
Speaker 2: Are you still there?

624
00:28:56,680 --> 00:28:59,400
Speaker 1: Yes? Hi, I'd like to make a reservation.

625
00:29:00,040 --> 00:29:02,200
Speaker 2: Okay for how for how many people?

626
00:29:03,800 --> 00:29:05,040
Speaker 1: I forget? I think it was four?

627
00:29:06,160 --> 00:29:07,120
Speaker 2: Okay for what time?

628
00:29:07,360 --> 00:29:07,960
Speaker 1: Seven pm?

629
00:29:09,080 --> 00:29:12,760
Speaker 2: Yeah? I just said we don't have availability then, but about.

630
00:29:12,640 --> 00:29:16,360
Speaker 1: Yeah seven thirty, seven thirty will work?

631
00:29:17,360 --> 00:29:20,400
Speaker 2: Okay, great? What's your name? Uh?

632
00:29:21,320 --> 00:29:21,560
Speaker 1: Rich?

633
00:29:24,320 --> 00:29:26,440
Speaker 2: Okay, Rich, we'll see you at seven thirty.

634
00:29:26,520 --> 00:29:29,080
Speaker 1: And my phone number for my client? Yeah?

635
00:29:29,400 --> 00:29:30,000
Speaker 2: What is your phone?

636
00:29:30,080 --> 00:29:34,720
Speaker 1: UM? Three one zero five nine four three zero zero three.

637
00:29:34,760 --> 00:29:35,600
Speaker 1: Are you confirmed?

638
00:29:36,400 --> 00:29:38,800
Speaker 2: Yes, you are confirmed for seven thirty.

639
00:29:40,760 --> 00:29:42,720
Speaker 1: Okay, thank you. I don't know why.

640
00:29:42,840 --> 00:29:44,360
Speaker 2: I just could not contain.

641
00:29:44,760 --> 00:29:46,920
Speaker 1: Could you imagine that that must be?

642
00:29:47,040 --> 00:29:49,360
Speaker 2: So it must happen out?

643
00:29:49,440 --> 00:29:52,240
Speaker 1: Okay? So what what New York Times did, which was

644
00:29:52,280 --> 00:29:54,360
Speaker 1: pretty cool is and why didn't I think of this?

645
00:29:54,600 --> 00:29:57,280
Speaker 1: They basically sat there with the restaurant and made these

646
00:29:57,280 --> 00:29:59,280
Speaker 1: calls and had the person at the restaurant pick up

647
00:29:59,320 --> 00:30:01,240
Speaker 1: so they could listen. Yeah. So it's like when you

648
00:30:01,240 --> 00:30:03,760
Speaker 1: do it, they do the call probably immediately anyway, So

649
00:30:03,800 --> 00:30:06,480
Speaker 1: they did. It's a great article New York Times. It's

650
00:30:06,520 --> 00:30:10,640
Speaker 1: called Google's duplex uses AI to mimic humans sometimes, and

651
00:30:10,720 --> 00:30:13,200
Speaker 1: they say that let's see. I mean, there's just it's

652
00:30:13,240 --> 00:30:16,520
Speaker 1: just so great. They the bot introduced itself as Google's

653
00:30:16,520 --> 00:30:19,880
Speaker 1: automated service. But here's the best part they do. During

654
00:30:19,880 --> 00:30:22,600
Speaker 1: one of the calls, the manager who the managers know

655
00:30:22,680 --> 00:30:24,640
Speaker 1: that it's automated because they've gotten so many of these

656
00:30:24,680 --> 00:30:26,840
Speaker 1: calls by now, they're pretty familiar with it, right, So

657
00:30:26,880 --> 00:30:30,360
Speaker 1: he goes like this to them. After the reservation date

658
00:30:30,360 --> 00:30:32,480
Speaker 1: in the party size, the guy goes, are there any kids?

659
00:30:32,960 --> 00:30:35,760
Speaker 1: And the Google bot goes, I'm actually booking on behalf

660
00:30:35,800 --> 00:30:38,120
Speaker 1: of a client, so I'm not too sure, which is

661
00:30:38,160 --> 00:30:40,320
Speaker 1: pretty good. Yeah, I mean, but that's not like an

662
00:30:40,360 --> 00:30:44,120
Speaker 1: outrageous question. But the guy said everything was perfect after

663
00:30:44,440 --> 00:30:46,520
Speaker 1: mister Park said, after an interview with conversing with the

664
00:30:46,520 --> 00:30:48,440
Speaker 1: Google bot, it was like talking. It was like a

665
00:30:48,480 --> 00:30:51,040
Speaker 1: real person talking. Oh that's cool.

666
00:30:51,400 --> 00:30:54,160
Speaker 2: So client client, I want to be like, are you

667
00:30:54,200 --> 00:30:54,800
Speaker 2: a robot?

668
00:30:55,680 --> 00:30:57,160
Speaker 1: And I think they asked that. Hold on, let me

669
00:30:57,200 --> 00:30:59,840
Speaker 1: say do they know? Okay, the person did ask are

670
00:30:59,840 --> 00:31:02,200
Speaker 1: you robot? And the guy said, no, I'm not, And

671
00:31:02,280 --> 00:31:04,040
Speaker 1: it turned out to be true. He wasn't a robot.

672
00:31:04,080 --> 00:31:06,400
Speaker 1: It was one of the real callers from Google. So

673
00:31:06,560 --> 00:31:08,560
Speaker 1: but I wonder it sounds, but if you ask like

674
00:31:08,600 --> 00:31:10,880
Speaker 1: Google Assistant, if you're a robot, they have like some

675
00:31:10,920 --> 00:31:16,600
Speaker 1: funny like responses. So yeah, but anyway, good good improvisation.

676
00:31:17,080 --> 00:31:19,120
Speaker 2: Yeah that was like acting for the day.

677
00:31:19,440 --> 00:31:21,480
Speaker 1: Yeah that's that's way too much acting for me.

678
00:31:22,440 --> 00:31:30,440
Speaker 2: Okay, all right, So our next question comes from Janice.

679
00:31:30,600 --> 00:31:33,560
Speaker 2: It's a short question. Just would you happen to know

680
00:31:33,600 --> 00:31:37,840
Speaker 2: if there are dash cams that can capture rear end collisions?

681
00:31:39,560 --> 00:31:40,440
Speaker 2: Did a story on.

682
00:31:40,440 --> 00:31:44,640
Speaker 1: This, yes, so okay, great question, and I will tell

683
00:31:44,640 --> 00:31:47,480
Speaker 1: you this. So when I got my new car a

684
00:31:47,480 --> 00:31:51,240
Speaker 1: couple like two years ago, literally first month I have

685
00:31:51,320 --> 00:31:53,880
Speaker 1: my new car, I get rear ended coming out of

686
00:31:53,880 --> 00:31:56,400
Speaker 1: the airport. So I'm driving out of the airport and

687
00:31:56,440 --> 00:31:58,040
Speaker 1: I just you know, you stop it a light and

688
00:31:58,080 --> 00:32:01,200
Speaker 1: just person behind you right into you. Thankfully I wasn't hurt.

689
00:32:01,400 --> 00:32:01,880
Speaker 1: Too bad?

690
00:32:04,120 --> 00:32:06,440
Speaker 2: Wait too bad?

691
00:32:06,840 --> 00:32:11,720
Speaker 1: Well, so because the yeah, well I did, I got.

692
00:32:11,760 --> 00:32:14,680
Speaker 1: I got a little tiny settlement. I can't talk about it,

693
00:32:15,000 --> 00:32:16,800
Speaker 1: but I got. You know, they do they pay you off,

694
00:32:16,840 --> 00:32:18,680
Speaker 1: like her insurance company. I think they gave me like

695
00:32:18,680 --> 00:32:20,760
Speaker 1: a thousand dollars to like you have to sign away

696
00:32:20,760 --> 00:32:22,320
Speaker 1: and say that like you're not hurt for the rest

697
00:32:22,320 --> 00:32:27,480
Speaker 1: of your life. So they did. Anyway, so, oh, we

698
00:32:27,520 --> 00:32:29,080
Speaker 1: have a caller here, so I'm gonna put them on

699
00:32:29,240 --> 00:32:32,280
Speaker 1: hold on. But yeah, so they basically make you sign

700
00:32:32,320 --> 00:32:34,400
Speaker 1: away your life saying like here's a thousand bucks, like

701
00:32:34,440 --> 00:32:37,040
Speaker 1: you basically can't sue us ever again or this girl

702
00:32:37,120 --> 00:32:39,840
Speaker 1: or whoever. You know. So I was fine for the

703
00:32:39,840 --> 00:32:43,080
Speaker 1: most part, I think, anyway, but.

704
00:32:43,080 --> 00:32:43,920
Speaker 2: I still recovering.

705
00:32:44,040 --> 00:32:46,240
Speaker 1: But I thought about it, like, oh, my gosh, wouldn't

706
00:32:46,280 --> 00:32:47,960
Speaker 1: it have been great if there was a dash cam in

707
00:32:47,960 --> 00:32:49,360
Speaker 1: the back that would because I have a dash cam

708
00:32:49,400 --> 00:32:51,080
Speaker 1: in the front. I was like, wouldn't it be great

709
00:32:51,080 --> 00:32:52,600
Speaker 1: if there's one in the back that can record like

710
00:32:52,600 --> 00:32:54,640
Speaker 1: what happens because most of the time you're getting rear ended.

711
00:32:54,680 --> 00:32:57,400
Speaker 1: That's kind of like, I mean, some of the accidents

712
00:32:57,440 --> 00:33:01,600
Speaker 1: I'm sure happened in the front too, but like, you know, anyway, yeah,

713
00:33:03,280 --> 00:33:04,000
Speaker 1: go ahead.

714
00:33:04,360 --> 00:33:06,600
Speaker 2: I was going to say that the some cars have

715
00:33:06,680 --> 00:33:12,040
Speaker 2: cameras on the back, if those cameras recorded, yes, record, Yes,

716
00:33:12,400 --> 00:33:15,920
Speaker 2: that's the future, Megan, I agree, But then if something happens.

717
00:33:15,960 --> 00:33:17,880
Speaker 1: Then they give you the video. But the Tesla does

718
00:33:17,920 --> 00:33:20,400
Speaker 1: do that apparently, so I think in the future. But yes,

719
00:33:20,440 --> 00:33:22,160
Speaker 1: every car now has Do you have a backup camera

720
00:33:22,200 --> 00:33:23,840
Speaker 1: on your new ride? Sweet new ride?

721
00:33:23,920 --> 00:33:26,640
Speaker 2: Yeah, but I don't have censors. Okay, well I'm just

722
00:33:26,680 --> 00:33:29,560
Speaker 2: saying that because I'm not a great parker, so oh okay.

723
00:33:29,400 --> 00:33:34,200
Speaker 1: Yeah, neither arem my yesterday I am the worst. I'm

724
00:33:34,240 --> 00:33:36,200
Speaker 1: an easy driver, but I also run over a lot

725
00:33:36,200 --> 00:33:38,680
Speaker 1: of curbs. I don't know, it's really a problem. Yeah, anyway,

726
00:33:38,680 --> 00:33:45,440
Speaker 1: to answer your question, this was Cheryl Cheryl. Yeah, Jannis Janis.

727
00:33:45,480 --> 00:33:47,840
Speaker 1: To answer your question, the only one I know of

728
00:33:47,920 --> 00:33:51,040
Speaker 1: is called Pearlauto dot Com. And so this is something

729
00:33:51,080 --> 00:33:53,800
Speaker 1: that this company was a big startup. I think they

730
00:33:53,800 --> 00:33:56,800
Speaker 1: were acquired. But they have a device that kind of

731
00:33:56,840 --> 00:34:00,240
Speaker 1: goes around the back of your license plate. It's like

732
00:34:00,240 --> 00:34:02,880
Speaker 1: a like one of those frames that has a camera

733
00:34:02,920 --> 00:34:05,640
Speaker 1: built into it. So it is three hundred dollars, which

734
00:34:05,720 --> 00:34:06,360
Speaker 1: is a lot.

735
00:34:07,080 --> 00:34:09,040
Speaker 2: But but if you get rear ended a lot this

736
00:34:09,400 --> 00:34:10,480
Speaker 2: well I hope.

737
00:34:10,320 --> 00:34:13,640
Speaker 1: It's not happening a lot like one time is probably

738
00:34:13,680 --> 00:34:17,600
Speaker 1: too much. But yeah, anyway, so that's the only one

739
00:34:17,600 --> 00:34:19,840
Speaker 1: I know of the cameras that I've seen, Like with

740
00:34:19,920 --> 00:34:22,040
Speaker 1: the dash cams, what they're doing is there's a camera

741
00:34:22,080 --> 00:34:24,920
Speaker 1: in the front and a camera facing inside on the car.

742
00:34:25,280 --> 00:34:27,040
Speaker 1: But that's really not going to help you unless you

743
00:34:27,080 --> 00:34:28,840
Speaker 1: maybe are able to see kind of like out the

744
00:34:28,840 --> 00:34:31,200
Speaker 1: back window, which in my case, like I watched the

745
00:34:31,280 --> 00:34:34,719
Speaker 1: lady through my rearview mirror like slam into me. Yeah,

746
00:34:34,760 --> 00:34:36,680
Speaker 1: on her phone, so she was fiddling with her phone. Oh,

747
00:34:37,160 --> 00:34:41,240
Speaker 1: that's usually how it happens, right. Unfortunately, if you're on Facebook,

748
00:34:41,280 --> 00:34:42,600
Speaker 1: you want to call in, we can have time for

749
00:34:42,640 --> 00:34:45,120
Speaker 1: one caller, So the numbers on the screen, go ahead

750
00:34:45,160 --> 00:34:47,080
Speaker 1: and call. I'll get you guys in or get one

751
00:34:47,080 --> 00:34:51,440
Speaker 1: person in. So that's the answer to that. But this

752
00:34:51,560 --> 00:34:54,600
Speaker 1: I thought was fantastic. Iced tea? Do you know iced tea?

753
00:34:54,960 --> 00:35:00,400
Speaker 1: The not the not the drink? The actor is he actor?

754
00:35:00,840 --> 00:35:02,719
Speaker 2: Yeah, he's on, he's on, he's on.

755
00:35:02,960 --> 00:35:05,480
Speaker 1: Don't tell me, hold on. I know what you're gonna say,

756
00:35:05,960 --> 00:35:08,160
Speaker 1: and I think you might be wrong. I know what

757
00:35:08,200 --> 00:35:08,799
Speaker 1: you're gonna say.

758
00:35:09,320 --> 00:35:10,640
Speaker 2: I'm right, that's iced tea.

759
00:35:10,840 --> 00:35:13,319
Speaker 1: Yeah, but what show? Were you going to say? Law

760
00:35:13,360 --> 00:35:13,719
Speaker 1: and Order?

761
00:35:14,800 --> 00:35:17,560
Speaker 2: Because you thought I was gonna say criminal minds?

762
00:35:18,440 --> 00:35:20,400
Speaker 1: I didn't know which which law order you were going

763
00:35:20,440 --> 00:35:22,920
Speaker 1: to pick. There's so many. Yeah, I think you're I

764
00:35:22,920 --> 00:35:24,759
Speaker 1: think he was on a Law and Order s vu

765
00:35:25,080 --> 00:35:26,600
Speaker 1: he used to be a rapper. He was also on

766
00:35:26,640 --> 00:35:28,720
Speaker 1: Ice Love's Cocoa Yemer.

767
00:35:28,239 --> 00:35:31,080
Speaker 2: That Melody Show. But he also was a rapper.

768
00:35:31,200 --> 00:35:37,480
Speaker 1: But he's also a prolific texter or sorry, text tweeter.

769
00:35:38,400 --> 00:35:42,680
Speaker 1: Oh okay, he's also a prolific tweeter. And here's what

770
00:35:42,760 --> 00:35:46,320
Speaker 1: he tweeted. Message to Amazon. Now that you have regular

771
00:35:46,360 --> 00:35:49,520
Speaker 1: people making your home deliveries, maybe they should wear a

772
00:35:49,640 --> 00:35:52,520
Speaker 1: vest with Amazon Delivery on it. I almost shot an

773
00:35:52,680 --> 00:35:55,760
Speaker 1: MF creeping up to my crib last night, just saying

774
00:35:56,360 --> 00:35:57,600
Speaker 1: iced tea. What's MF mean?

775
00:35:58,080 --> 00:36:00,600
Speaker 2: I can't say it when a podcast mother.

776
00:36:01,000 --> 00:36:03,799
Speaker 1: Oh okay, you're right, so.

777
00:36:05,560 --> 00:36:06,359
Speaker 2: What's a mass?

778
00:36:06,640 --> 00:36:07,760
Speaker 1: But I was just kidding.

779
00:36:08,320 --> 00:36:09,719
Speaker 2: You knew. I knew.

780
00:36:11,640 --> 00:36:14,759
Speaker 1: Hold on, if I said it to you, could I mean, look,

781
00:36:14,800 --> 00:36:16,719
Speaker 1: we are on a podcast. You can say whatever you want,

782
00:36:16,760 --> 00:36:19,720
Speaker 1: but we're being respectful in case you're listening with the kids.

783
00:36:19,960 --> 00:36:22,840
Speaker 1: There's no the FCC doesn't care about live streaming. We

784
00:36:22,880 --> 00:36:23,640
Speaker 1: can do whatever we want.

785
00:36:23,719 --> 00:36:25,160
Speaker 2: I can't.

786
00:36:26,320 --> 00:36:28,799
Speaker 1: I'm not going to say it, but we know what

787
00:36:28,840 --> 00:36:31,439
Speaker 1: it means. So he has a point. I will tell

788
00:36:31,440 --> 00:36:33,879
Speaker 1: you this. I was in my neighborhood the other day

789
00:36:33,920 --> 00:36:36,000
Speaker 1: and I'm watching this guy walk up to a house

790
00:36:36,040 --> 00:36:39,600
Speaker 1: and I'm like, oh my god, I'm witnessing a robbery

791
00:36:39,640 --> 00:36:43,839
Speaker 1: in progress. I'm gonna turn out to be a delivery guy.

792
00:36:44,080 --> 00:36:45,799
Speaker 1: All of a sudden, I see when he turns the

793
00:36:45,840 --> 00:36:48,280
Speaker 1: package that he was holding. I was like, oh my gosh.

794
00:36:48,360 --> 00:36:51,120
Speaker 1: And this happened the day before I saw the the

795
00:36:51,800 --> 00:36:54,880
Speaker 1: tweet from iced Tea. He has a great point because

796
00:36:54,960 --> 00:36:57,120
Speaker 1: Amazon is sending out all these people that are like

797
00:36:57,160 --> 00:37:00,960
Speaker 1: independent contractors. So are all these delivery services Postmates and

798
00:37:01,360 --> 00:37:04,480
Speaker 1: you know, door Dash and grub Hub. Get these people

799
00:37:04,760 --> 00:37:08,960
Speaker 1: some sort of uniform. Yeah that has reflectors. Right, But

800
00:37:09,120 --> 00:37:10,880
Speaker 1: here's the thing, and this is gonna be scary.

801
00:37:12,160 --> 00:37:13,160
Speaker 2: Oh I know what you're gonna say.

802
00:37:13,239 --> 00:37:13,880
Speaker 1: Yeah, tell me.

803
00:37:13,960 --> 00:37:17,480
Speaker 2: People are going to wear them pretending to be Postmates

804
00:37:17,840 --> 00:37:20,560
Speaker 2: and then they're gonna get into your house and they're

805
00:37:20,560 --> 00:37:21,319
Speaker 2: gonna kill you.

806
00:37:21,440 --> 00:37:23,600
Speaker 1: Yeah, not kill you, that's right, but like.

807
00:37:23,520 --> 00:37:27,280
Speaker 2: It opens up. But you know, if you ordered something

808
00:37:27,440 --> 00:37:29,239
Speaker 2: like I just don't know, you don't you.

809
00:37:29,200 --> 00:37:31,520
Speaker 1: Know every time you order something. I'm surprised every day

810
00:37:31,520 --> 00:37:32,600
Speaker 1: when I.

811
00:37:32,560 --> 00:37:35,200
Speaker 2: Literally don't open my door, like if someone I don't.

812
00:37:35,200 --> 00:37:38,719
Speaker 1: Oh yeah, your house is like that movie Quiet, what

813
00:37:38,840 --> 00:37:41,080
Speaker 1: is it? Don't say a word?

814
00:37:41,520 --> 00:37:43,160
Speaker 2: Isn't it called the quiet Place?

815
00:37:43,160 --> 00:37:43,640
Speaker 1: Is it quiet?

816
00:37:43,680 --> 00:37:44,520
Speaker 2: I've never seen it?

817
00:37:44,719 --> 00:37:47,480
Speaker 1: But what why? I know there's a bunch of movies

818
00:37:47,520 --> 00:37:49,480
Speaker 1: that were like this. There was one. Don't say a word.

819
00:37:49,520 --> 00:37:51,520
Speaker 1: Oh that's not that movie. That's not that's definitely not

820
00:37:51,600 --> 00:37:52,840
Speaker 1: the movie A.

821
00:37:52,880 --> 00:37:55,160
Speaker 2: Quiet Place, saying someone could easily get into my house.

822
00:37:55,280 --> 00:37:56,960
Speaker 1: No, I'm just saying it's like that movie where like

823
00:37:57,280 --> 00:37:59,200
Speaker 1: there was a crazy movie. It's not a quiet place.

824
00:37:59,280 --> 00:38:01,200
Speaker 1: Oh gosh, what the one where like it was this

825
00:38:01,280 --> 00:38:06,439
Speaker 1: crazy like military guy that like American beauty. No, no, no,

826
00:38:06,480 --> 00:38:08,480
Speaker 1: it was maybe that was like it. Anyway, my point,

827
00:38:08,520 --> 00:38:10,000
Speaker 1: I was making a joke about your place for like

828
00:38:10,239 --> 00:38:12,560
Speaker 1: every like the doorbell rings, everyone's like quiet is like

829
00:38:12,640 --> 00:38:13,360
Speaker 1: super scary.

830
00:38:13,640 --> 00:38:15,680
Speaker 2: No, I that's why I go quiet.

831
00:38:16,160 --> 00:38:17,880
Speaker 1: I do too, Like I don't want to answer the

832
00:38:17,880 --> 00:38:22,080
Speaker 1: door most like knock weird, knock weird. Sense the yeah

833
00:38:22,120 --> 00:38:23,759
Speaker 1: you can sense it canna be awkward and then you

834
00:38:23,760 --> 00:38:27,360
Speaker 1: gotta yeaheah. But anyway, so he has an iced tea

835
00:38:28,239 --> 00:38:32,759
Speaker 1: iced tea great point, yeah, because I I but I

836
00:38:32,800 --> 00:38:34,439
Speaker 1: see what you're saying. I think that if we get

837
00:38:34,440 --> 00:38:36,360
Speaker 1: these vests, next thing, you know, the new rash of

838
00:38:36,440 --> 00:38:39,080
Speaker 1: robberies and criminals are going to wear these things.

839
00:38:39,120 --> 00:38:42,719
Speaker 2: But then again, like the whole garage Amazon thing where

840
00:38:42,760 --> 00:38:46,200
Speaker 2: you can have an Amazon person open up your garage

841
00:38:46,200 --> 00:38:49,680
Speaker 2: and leave a package, like someone like a criminal could

842
00:38:49,680 --> 00:38:52,200
Speaker 2: pretend to be one of those contractors.

843
00:38:51,640 --> 00:38:54,080
Speaker 1: Right, but they can't open your garage. So see, that's

844
00:38:54,080 --> 00:38:56,239
Speaker 1: the beauty of having that system is that they're not

845
00:38:56,280 --> 00:38:57,920
Speaker 1: gonna have the code to your garage, whereas if they

846
00:38:58,000 --> 00:39:00,600
Speaker 1: knock on your door. You know, So I'm gonna have

847
00:39:00,600 --> 00:39:02,840
Speaker 1: a sign on my house that just says it's supposed

848
00:39:02,880 --> 00:39:05,600
Speaker 1: to go in the garage, buddy. So now, oh, that's

849
00:39:05,640 --> 00:39:08,200
Speaker 1: actually really Oh that's a that's a horror movie. Yeah,

850
00:39:08,239 --> 00:39:09,680
Speaker 1: it's like remember that old horror movie.

851
00:39:09,960 --> 00:39:11,240
Speaker 2: This should be a horror movie where.

852
00:39:11,080 --> 00:39:13,080
Speaker 1: They're like, oh, the calls coming from inside the house.

853
00:39:13,360 --> 00:39:14,960
Speaker 1: The new horror movie is gonna be when you order

854
00:39:15,000 --> 00:39:16,839
Speaker 1: something from Amazon, they're suposed to knock on the door.

855
00:39:17,080 --> 00:39:20,239
Speaker 1: But you know it's a criminal because they're trying to

856
00:39:20,280 --> 00:39:22,319
Speaker 1: murder you because you've said it's supposed to go in

857
00:39:22,360 --> 00:39:25,239
Speaker 1: your garage. Yeah, you're like, that's not supposed to go

858
00:39:25,320 --> 00:39:25,880
Speaker 1: in a house.

859
00:39:25,880 --> 00:39:28,480
Speaker 2: Movie moment this morning where I was like I feel

860
00:39:28,480 --> 00:39:30,719
Speaker 2: like you're late for work. No, no, no, I do you

861
00:39:30,760 --> 00:39:32,879
Speaker 2: want me to tell you? It's kind of quick. When

862
00:39:32,920 --> 00:39:35,640
Speaker 2: I was like walking out the front door, I realized

863
00:39:35,640 --> 00:39:39,200
Speaker 2: that I forgot milk for my coffee. So I liked,

864
00:39:39,400 --> 00:39:42,080
Speaker 2: I like just went back to the kitchen. I didn't

865
00:39:42,120 --> 00:39:44,520
Speaker 2: lock the door. Oh the front door. I just like

866
00:39:44,760 --> 00:39:46,840
Speaker 2: and then and then like the thought occurred to me

867
00:39:46,880 --> 00:39:48,640
Speaker 2: while I was like opening up the fridge, I was like,

868
00:39:49,080 --> 00:39:51,560
Speaker 2: what if I just hear the front door open right now? Oh?

869
00:39:51,640 --> 00:39:53,960
Speaker 1: That'd yeah, I always yeah, forty.

870
00:39:53,800 --> 00:39:56,799
Speaker 2: Five in the morning, Yes, it's the middle of the night.

871
00:39:57,520 --> 00:39:59,480
Speaker 2: That and like and then I was like terrified. And

872
00:39:59,480 --> 00:40:01,279
Speaker 2: then I like into my car, yes.

873
00:40:01,120 --> 00:40:03,440
Speaker 1: And like, yeah, isn't that funny? Like because we get

874
00:40:03,480 --> 00:40:05,320
Speaker 1: up really early, so we're always like in these weird

875
00:40:05,360 --> 00:40:08,840
Speaker 1: shifts and stuff. So it's so weird how the mind

876
00:40:08,920 --> 00:40:12,040
Speaker 1: can really play games with you and like get you totally,

877
00:40:12,080 --> 00:40:14,880
Speaker 1: like in this place where you're like oh yeah, like

878
00:40:15,000 --> 00:40:17,520
Speaker 1: looking around, like there's shadows this and that, and like

879
00:40:17,760 --> 00:40:19,960
Speaker 1: literally it's like any other night of any other day.

880
00:40:20,280 --> 00:40:22,120
Speaker 1: But like, the mind is a is a powerful thing.

881
00:40:22,120 --> 00:40:24,880
Speaker 1: It's kind of wild, so you gotta watch out for that.

882
00:40:25,400 --> 00:40:28,320
Speaker 1: But guess what that's gonna do it for the show.

883
00:40:28,960 --> 00:40:32,840
Speaker 1: Another fantastic rich on Tech podcast. Thanks so much for listening.

884
00:40:32,920 --> 00:40:35,439
Speaker 1: Subscribe if you haven't done so already, just search rich

885
00:40:35,480 --> 00:40:39,120
Speaker 1: on Tech in your favorite podcast app. Apple Podcasts is

886
00:40:39,160 --> 00:40:42,800
Speaker 1: a great one. Pocket Casts is another. Overcast is also

887
00:40:42,880 --> 00:40:45,960
Speaker 1: one that's really good. My book is called one hundred

888
00:40:45,960 --> 00:40:48,000
Speaker 1: and one Handy Tech Tips for the iPhone. It's available

889
00:40:48,000 --> 00:40:51,560
Speaker 1: on Amazon and paperback. Thanks to my colleague Megan Henderson

890
00:40:51,600 --> 00:40:54,840
Speaker 1: for giving me a major shout out on Instagram. She

891
00:40:54,920 --> 00:40:58,279
Speaker 1: posted the photo to end all photos. No one even

892
00:40:58,320 --> 00:41:00,720
Speaker 1: noticed my book in the photo because she looks so great.

893
00:41:01,040 --> 00:41:04,280
Speaker 1: So she posted this on her at Megan Henderson show.

894
00:41:04,320 --> 00:41:07,360
Speaker 1: So go there and like that. Uh, don't forget to

895
00:41:07,360 --> 00:41:09,760
Speaker 1: sign up for our newsletter rich on Tech dot TVs

896
00:41:09,800 --> 00:41:11,600
Speaker 1: where you go Just click that put in your email

897
00:41:11,640 --> 00:41:14,000
Speaker 1: and every week I will send you a digest of

898
00:41:14,040 --> 00:41:16,680
Speaker 1: the stuff that I think is interesting. Producer Megan, I

899
00:41:16,680 --> 00:41:18,200
Speaker 1: ask you every week, did you enjoy the show?

900
00:41:18,440 --> 00:41:21,880
Speaker 2: Yeah? I had fun time flu Yeah, this was honestly

901
00:41:22,040 --> 00:41:23,240
Speaker 2: this one by really fast.

902
00:41:23,320 --> 00:41:25,560
Speaker 1: I think cover all the stories.

903
00:41:25,600 --> 00:41:26,600
Speaker 2: We covered all the stories.

904
00:41:26,719 --> 00:41:29,440
Speaker 1: Well, there's never there's never, you know, it's free flowing.

905
00:41:29,440 --> 00:41:31,280
Speaker 1: We don't know we don't know if we cover everything.

906
00:41:31,160 --> 00:41:33,160
Speaker 2: Yeah, I mean we get to the important stuff.

907
00:41:33,160 --> 00:41:34,080
Speaker 1: Where can folks find you?

908
00:41:35,120 --> 00:41:38,720
Speaker 2: Twitter producer Megan within eight.

909
00:41:38,920 --> 00:41:41,439
Speaker 1: Wait, that sounds like your Twitter producer Megan. You're on

910
00:41:41,480 --> 00:41:42,880
Speaker 1: Twitter at producer Megan.

911
00:41:42,880 --> 00:41:46,840
Speaker 2: Sorry, Yes, I'm on Twitter and my handle is producer Megan.

912
00:41:46,960 --> 00:41:50,560
Speaker 1: Okay, I'm Rich Demiro. You can find me on Instagram

913
00:41:50,600 --> 00:41:53,800
Speaker 1: at rich on Tech, on Facebook, Facebook dot com slash

914
00:41:53,880 --> 00:41:56,600
Speaker 1: rich on Tech, and on Twitter at rich Demiro. I

915
00:41:56,600 --> 00:41:59,120
Speaker 1: should take my own advice. Yeah, you should change your name.

916
00:41:59,160 --> 00:42:01,359
Speaker 1: I can't. They won't let me have it part mm

917
00:42:01,400 --> 00:42:02,960
Speaker 1: hmm maybe.

918
00:42:02,840 --> 00:42:04,200
Speaker 2: Rich on Tech.

919
00:42:04,239 --> 00:42:07,120
Speaker 1: All right, I'm Rich Demro. Thanks so much for listening

920
00:42:07,120 --> 00:42:08,640
Speaker 1: to the show. Have a great day. We'll talk to

921
00:42:08,719 --> 00:42:09,479
Speaker 1: you real soon